From 5557078463b0be303122de695a4db8d6692e9d00 Mon Sep 17 00:00:00 2001
From: moses <vince62s@yahoo.com>
Date: Mon, 27 Aug 2018 15:33:44 +0200
Subject: [PATCH 01/26] fix deprecated warnings

---
 onmt/modules/global_attention.py | 6 +++---
 onmt/utils/loss.py               | 4 ++--
 2 files changed, 5 insertions(+), 5 deletions(-)

diff --git a/onmt/modules/global_attention.py b/onmt/modules/global_attention.py
index aab88e1a4b..2584481066 100644
--- a/onmt/modules/global_attention.py
+++ b/onmt/modules/global_attention.py
@@ -131,7 +131,7 @@ def score(self, h_t, h_s):
             uh = uh.expand(src_batch, tgt_len, src_len, dim)
 
             # (batch, t_len, s_len, d)
-            wquh = F.tanh(wq + uh)
+            wquh = torch.tanh(wq + uh)
 
             return self.v(wquh.view(-1, dim)).view(tgt_batch, tgt_len, src_len)
 
@@ -172,7 +172,7 @@ def forward(self, source, memory_bank, memory_lengths=None, coverage=None):
         if coverage is not None:
             cover = coverage.view(-1).unsqueeze(1)
             memory_bank += self.linear_cover(cover).view_as(memory_bank)
-            memory_bank = F.tanh(memory_bank)
+            memory_bank = torch.tanh(memory_bank)
 
         # compute attention scores, as in Luong et al.
         align = self.score(source, memory_bank)
@@ -197,7 +197,7 @@ def forward(self, source, memory_bank, memory_lengths=None, coverage=None):
         concat_c = torch.cat([c, source], 2).view(batch*target_l, dim*2)
         attn_h = self.linear_out(concat_c).view(batch, target_l, dim)
         if self.attn_type in ["general", "dot"]:
-            attn_h = F.tanh(attn_h)
+            attn_h = torch.tanh(attn_h)
 
         if one_step:
             attn_h = attn_h.squeeze(1)
diff --git a/onmt/utils/loss.py b/onmt/utils/loss.py
index 4ac780825f..4ca4c8185d 100644
--- a/onmt/utils/loss.py
+++ b/onmt/utils/loss.py
@@ -201,7 +201,7 @@ def forward(self, output, target):
         model_prob.scatter_(1, target.unsqueeze(1), self.confidence)
         model_prob.masked_fill_((target == self.padding_idx).unsqueeze(1), 0)
 
-        return F.kl_div(output, model_prob, size_average=False)
+        return F.kl_div(output, model_prob, reduction='sum')
 
 
 class NMTLossCompute(LossComputeBase):
@@ -223,7 +223,7 @@ def __init__(self, generator, tgt_vocab, normalization="sents",
             )
         else:
             self.criterion = nn.NLLLoss(
-                ignore_index=self.padding_idx, size_average=False
+                ignore_index=self.padding_idx, reduction='sum'
             )
 
     def _make_shard_state(self, batch, output, range_, attns=None):

From 74e2e5a341b2bb817f8ef11a888d06508530bc8c Mon Sep 17 00:00:00 2001
From: moses <vince62s@yahoo.com>
Date: Tue, 28 Aug 2018 17:24:17 +0200
Subject: [PATCH 02/26] requirement 0.4.1

---
 .travis.yml      | 2 +-
 README.md        | 4 ++--
 requirements.txt | 2 +-
 3 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/.travis.yml b/.travis.yml
index f4960cd661..008d42ffd2 100644
--- a/.travis.yml
+++ b/.travis.yml
@@ -17,7 +17,7 @@ before_install:
   # Useful for debugging any issues with conda
   - conda info -a
   # freeze the supported pytorch version for consistency
-  - conda create -q -n test-environment python=$TRAVIS_PYTHON_VERSION pytorch=0.4.0 -c soumith
+  - conda create -q -n test-environment python=$TRAVIS_PYTHON_VERSION pytorch=0.4.1 -c soumith
   - source activate test-environment
   # use requirements.txt for dependencies
   - pip install -r requirements.txt
diff --git a/README.md b/README.md
index 27050e4ff5..0887f48c66 100644
--- a/README.md
+++ b/README.md
@@ -7,7 +7,7 @@ This is a [Pytorch](https://github.com/pytorch/pytorch)
 port of [OpenNMT](https://github.com/OpenNMT/OpenNMT),
 an open-source (MIT) neural machine translation system. It is designed to be research friendly to try out new ideas in translation, summary, image-to-text, morphology, and many other domains.
 
-Codebase is relatively stable, but PyTorch is still evolving. We currently only support PyTorch 0.4 and recommend forking if you need to have stable code.
+Codebase is relatively stable, but PyTorch is still evolving. We currently only support PyTorch 0.4.1 and recommend forking if you need to have stable code.
 
 OpenNMT-py is run as a collaborative open-source project. It is maintained by [Sasha Rush](http://github.com/srush) (Cambridge, MA), [Ben Peters](http://github.com/bpopeters) (Lisbon), and [Jianyu Zhan](http://github.com/jianyuzhan) (Shanghai). The original code was written by [Adam Lerer](http://github.com/adamlerer) (NYC). 
 We love contributions. Please consult the Issues page for any [Contributions Welcome](https://github.com/OpenNMT/OpenNMT-py/issues?q=is%3Aissue+is%3Aopen+label%3A%22contributions+welcome%22) tagged post. 
@@ -32,7 +32,7 @@ All dependencies can be installed via:
 pip install -r requirements.txt
 ```
 
-Note that we currently only support PyTorch 0.4.
+Note that we currently only support PyTorch 0.4.1
 
 ## Features
 
diff --git a/requirements.txt b/requirements.txt
index b3d41b8a1a..11850b1ef2 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,5 +1,5 @@
 six
 tqdm
-torch>=0.4.0
+torch>=0.4.1
 git+https://github.com/pytorch/text
 future

From f72bcf121178d0fb1217623b4e099e5baef9c453 Mon Sep 17 00:00:00 2001
From: moses <vince62s@yahoo.com>
Date: Tue, 28 Aug 2018 19:04:51 +0200
Subject: [PATCH 03/26] travis cuda 9.0

---
 .travis.yml | 1 +
 1 file changed, 1 insertion(+)

diff --git a/.travis.yml b/.travis.yml
index 008d42ffd2..647de73553 100644
--- a/.travis.yml
+++ b/.travis.yml
@@ -14,6 +14,7 @@ before_install:
   - hash -r
   - conda config --set always_yes yes --set changeps1 no
   - conda update -q conda
+  - conda install -c anaconda cudatoolkit==9.0
   # Useful for debugging any issues with conda
   - conda info -a
   # freeze the supported pytorch version for consistency

From dfccafa2c267270ced50120745591cf689dc296f Mon Sep 17 00:00:00 2001
From: moses <vince62s@yahoo.com>
Date: Tue, 28 Aug 2018 20:13:17 +0200
Subject: [PATCH 04/26] another try to fix cuda

---
 .travis.yml | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/.travis.yml b/.travis.yml
index 647de73553..6a30b808f4 100644
--- a/.travis.yml
+++ b/.travis.yml
@@ -14,11 +14,10 @@ before_install:
   - hash -r
   - conda config --set always_yes yes --set changeps1 no
   - conda update -q conda
-  - conda install -c anaconda cudatoolkit==9.0
   # Useful for debugging any issues with conda
   - conda info -a
   # freeze the supported pytorch version for consistency
-  - conda create -q -n test-environment python=$TRAVIS_PYTHON_VERSION pytorch=0.4.1 -c soumith
+  - conda create -q -n test-environment python=$TRAVIS_PYTHON_VERSION pytorch=0.4.1 cuda92 -c pytorch
   - source activate test-environment
   # use requirements.txt for dependencies
   - pip install -r requirements.txt

From aa3f4ecc57f458ea02a722ac0822085cbf3a03e1 Mon Sep 17 00:00:00 2001
From: moses <vince62s@yahoo.com>
Date: Mon, 3 Sep 2018 14:33:22 +0200
Subject: [PATCH 05/26] fixing #696

---
 docs/source/Library.ipynb | 31 ++++++++++++++++---------------
 1 file changed, 16 insertions(+), 15 deletions(-)

diff --git a/docs/source/Library.ipynb b/docs/source/Library.ipynb
index c149d3eba8..d0b9c75bd4 100644
--- a/docs/source/Library.ipynb
+++ b/docs/source/Library.ipynb
@@ -12,8 +12,9 @@
     "import torch.nn as nn\n",
     "\n",
     "import onmt\n",
-    "import onmt.io\n",
-    "import onmt.modules"
+    "import onmt.inputters\n",
+    "import onmt.modules\n",
+    "import onmt.utils"
    ]
   },
   {
@@ -30,8 +31,8 @@
    "outputs": [],
    "source": [
     "vocab = dict(torch.load(\"../../data/data.vocab.pt\"))\n",
-    "src_padding = vocab[\"src\"].stoi[onmt.io.PAD_WORD]\n",
-    "tgt_padding = vocab[\"tgt\"].stoi[onmt.io.PAD_WORD]"
+    "src_padding = vocab[\"src\"].stoi[onmt.inputters.PAD_WORD]\n",
+    "tgt_padding = vocab[\"tgt\"].stoi[onmt.inputters.PAD_WORD]"
    ]
   },
   {
@@ -53,22 +54,22 @@
     "encoder_embeddings = onmt.modules.Embeddings(emb_size, len(vocab[\"src\"]),\n",
     "                                             word_padding_idx=src_padding)\n",
     "\n",
-    "encoder = onmt.modules.RNNEncoder(hidden_size=rnn_size, num_layers=1, \n",
+    "encoder = onmt.encoders.RNNEncoder(hidden_size=rnn_size, num_layers=1, \n",
     "                                 rnn_type=\"LSTM\", bidirectional=True,\n",
     "                                 embeddings=encoder_embeddings)\n",
     "\n",
     "decoder_embeddings = onmt.modules.Embeddings(emb_size, len(vocab[\"tgt\"]),\n",
     "                                             word_padding_idx=tgt_padding)\n",
-    "decoder = onmt.modules.InputFeedRNNDecoder(hidden_size=rnn_size, num_layers=1, \n",
+    "decoder = onmt.decoders.decoder.InputFeedRNNDecoder(hidden_size=rnn_size, num_layers=1, \n",
     "                                           bidirectional_encoder=True,\n",
     "                                           rnn_type=\"LSTM\", embeddings=decoder_embeddings)\n",
-    "model = onmt.modules.NMTModel(encoder, decoder)\n",
+    "model = onmt.models.model.NMTModel(encoder, decoder)\n",
     "\n",
     "# Specify the tgt word generator and loss computation module\n",
     "model.generator = nn.Sequential(                                                                                                                        \n",
     "            nn.Linear(rnn_size, len(vocab[\"tgt\"])),                                                                                           \n",
     "            nn.LogSoftmax())\n",
-    "loss = onmt.Loss.NMTLossCompute(model.generator, vocab[\"tgt\"]) "
+    "loss = onmt.utils.loss.NMTLossCompute(model.generator, vocab[\"tgt\"]) "
    ]
   },
   {
@@ -84,8 +85,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "optim = onmt.Optim(method=\"sgd\", lr=1, max_grad_norm=2)\n",
-    "optim.set_parameters(model.parameters())"
+    "optim = onmt.utils.optimizers.Optimizer(method=\"sgd\", lr=1, max_grad_norm=2)\n",
+    "optim.set_parameters(model.named_parameters())"
    ]
   },
   {
@@ -102,8 +103,8 @@
    "outputs": [],
    "source": [
     "# Load some data\n",
-    "data = torch.load(\"../../data/data.train.pt\")\n",
-    "valid_data = torch.load(\"../../data/data.valid.pt\")\n",
+    "data = torch.load(\"../../data/data.train.1.pt\")\n",
+    "valid_data = torch.load(\"../../data/data.valid.1.pt\")\n",
     "data.load_fields(vocab)\n",
     "valid_data.load_fields(vocab)\n",
     "data.examples = data.examples[:100]                                    "
@@ -122,11 +123,11 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "train_iter = onmt.io.OrderedIterator(                                                                                                                            \n",
+    "train_iter = onmt.inputters.OrderedIterator(                                                                                                                            \n",
     "                dataset=data, batch_size=10, \n",
     "                device=-1,                                                                                                                                                                                 \n",
     "                repeat=False)\n",
-    "valid_iter = onmt.io.OrderedIterator(                                                                                                                            \n",
+    "valid_iter = onmt.inputters.OrderedIterator(                                                                                                                            \n",
     "                dataset=valid_data, batch_size=10,                                                                                                                                                                                       \n",
     "                device=-1,\n",
     "                train=False) "
@@ -176,7 +177,7 @@
     }
    ],
    "source": [
-    "trainer = onmt.Trainer(model, train_iter, valid_iter, loss, loss, optim)\n",
+    "trainer = onmt.Trainer(model, loss, loss, optim)\n",
     "\n",
     "def report_func(*args):\n",
     "    stats = args[-1]\n",

From 38ce8a57bd269225e5729c28a4aa01ada4e21b4e Mon Sep 17 00:00:00 2001
From: moses <vince62s@yahoo.com>
Date: Tue, 4 Sep 2018 09:24:47 +0200
Subject: [PATCH 06/26] more fix to Library

---
 docs/source/Library.md | 29 +++++++++++++++--------------
 1 file changed, 15 insertions(+), 14 deletions(-)

diff --git a/docs/source/Library.md b/docs/source/Library.md
index 9c9546285f..ef20156ccf 100644
--- a/docs/source/Library.md
+++ b/docs/source/Library.md
@@ -12,8 +12,9 @@ import torch
 import torch.nn as nn
 
 import onmt
-import onmt.io
+import onmt.inputters
 import onmt.modules
+import onmt.utils
 ```
 
 We begin by loading in the vocabulary for the model of interest. This will let us check vocab size and to get the special ids for padding.
@@ -21,8 +22,8 @@ We begin by loading in the vocabulary for the model of interest. This will let u
 
 ```python
 vocab = dict(torch.load("../../data/data.vocab.pt"))
-src_padding = vocab["src"].stoi[onmt.io.PAD_WORD]
-tgt_padding = vocab["tgt"].stoi[onmt.io.PAD_WORD]
+src_padding = vocab["src"].stoi[onmt.inputters.PAD_WORD]
+tgt_padding = vocab["tgt"].stoi[onmt.inputters.PAD_WORD]
 ```
 
 Next we specify the core model itself. Here we will build a small model with an encoder and an attention based input feeding decoder. Both models will be RNNs and the encoder will be bidirectional
@@ -35,30 +36,30 @@ rnn_size = 6
 encoder_embeddings = onmt.modules.Embeddings(emb_size, len(vocab["src"]),
                                              word_padding_idx=src_padding)
 
-encoder = onmt.modules.RNNEncoder(hidden_size=rnn_size, num_layers=1,
+encoder = onmt.encoders.RNNEncoder(hidden_size=rnn_size, num_layers=1,
                                  rnn_type="LSTM", bidirectional=True,
                                  embeddings=encoder_embeddings)
 
 decoder_embeddings = onmt.modules.Embeddings(emb_size, len(vocab["tgt"]),
                                              word_padding_idx=tgt_padding)
-decoder = onmt.modules.InputFeedRNNDecoder(hidden_size=rnn_size, num_layers=1,
+decoder = onmt.decoders.decoder.InputFeedRNNDecoder(hidden_size=rnn_size, num_layers=1,
                                            bidirectional_encoder=True,
                                            rnn_type="LSTM", embeddings=decoder_embeddings)
-model = onmt.modules.NMTModel(encoder, decoder)
+model = onmt.models.model.NMTModel(encoder, decoder)
 
 # Specify the tgt word generator and loss computation module
 model.generator = nn.Sequential(
             nn.Linear(rnn_size, len(vocab["tgt"])),
             nn.LogSoftmax())
-loss = onmt.Loss.NMTLossCompute(model.generator, vocab["tgt"])
+loss = onmt.utils.loss.NMTLossCompute(model.generator, vocab["tgt"])
 ```
 
 Now we set up the optimizer. This could be a core torch optim class, or our wrapper which handles learning rate updates and gradient normalization automatically.
 
 
 ```python
-optim = onmt.Optim(method="sgd", lr=1, max_grad_norm=2)
-optim.set_parameters(model.parameters())
+optim = onmt.utils.optimizers.Optimizer(method="sgd", lr=1, max_grad_norm=2)
+optim.set_parameters(model.named_parameters())
 ```
 
 Now we load the data from disk. Currently will need to call a function to load the fields into the data as well.
@@ -66,8 +67,8 @@ Now we load the data from disk. Currently will need to call a function to load t
 
 ```python
 # Load some data
-data = torch.load("../../data/data.train.pt")
-valid_data = torch.load("../../data/data.valid.pt")
+data = torch.load("../../data/data.train.1.pt")
+valid_data = torch.load("../../data/data.valid.1.pt")
 data.load_fields(vocab)
 valid_data.load_fields(vocab)
 data.examples = data.examples[:100]
@@ -77,11 +78,11 @@ To iterate through the data itself we use a torchtext iterator class. We specify
 
 
 ```python
-train_iter = onmt.io.OrderedIterator(
+train_iter = onmt.inputters.OrderedIterator(
                 dataset=data, batch_size=10,
                 device=-1,
                 repeat=False)
-valid_iter = onmt.io.OrderedIterator(
+valid_iter = onmt.inputters.OrderedIterator(
                 dataset=valid_data, batch_size=10,
                 device=-1,
                 train=False)
@@ -91,7 +92,7 @@ Finally we train.
 
 
 ```python
-trainer = onmt.Trainer(model, train_iter, valid_iter, loss, loss, optim)
+trainer = onmt.Trainer(model, loss, loss, optim)
 
 def report_func(*args):
     stats = args[-1]

From aabe1cf6bbdcd4df2507348c8cd31f9c9421bbcd Mon Sep 17 00:00:00 2001
From: Hoang Viet <vieritolove@gmail.com>
Date: Thu, 13 Sep 2018 12:04:57 +0700
Subject: [PATCH 07/26] Handle memory and add image chanel size

1. Add deviding dataset into shards with shard size
2. Add handling memory leak by deleting previous batch from memory
3. Add image chanel size = 1 when working with grayscale image
---
 onmt/encoders/image_encoder.py  |  6 +--
 onmt/inputters/image_dataset.py | 14 ++++--
 onmt/inputters/inputter.py      | 32 +++++++++++---
 onmt/model_builder.py           |  3 +-
 onmt/opts.py                    |  8 ++++
 onmt/translate/translator.py    |  9 ++--
 preprocess.py                   | 78 +++++++++++++++++++++++++++++++--
 requirements.txt                |  1 +
 8 files changed, 132 insertions(+), 19 deletions(-)

diff --git a/onmt/encoders/image_encoder.py b/onmt/encoders/image_encoder.py
index f5b31ba2d2..cb32272e1c 100644
--- a/onmt/encoders/image_encoder.py
+++ b/onmt/encoders/image_encoder.py
@@ -16,13 +16,13 @@ class ImageEncoder(nn.Module):
         dropout (float): dropout probablity.
     """
 
-    def __init__(self, num_layers, bidirectional, rnn_size, dropout):
+    def __init__(self, num_layers, bidirectional, rnn_size, dropout, image_chanel_size=3):
         super(ImageEncoder, self).__init__()
         self.num_layers = num_layers
         self.num_directions = 2 if bidirectional else 1
         self.hidden_size = rnn_size
 
-        self.layer1 = nn.Conv2d(3, 64, kernel_size=(3, 3),
+        self.layer1 = nn.Conv2d(image_chanel_size, 64, kernel_size=(3, 3),
                                 padding=(1, 1), stride=(1, 1))
         self.layer2 = nn.Conv2d(64, 128, kernel_size=(3, 3),
                                 padding=(1, 1), stride=(1, 1))
@@ -40,7 +40,7 @@ def __init__(self, num_layers, bidirectional, rnn_size, dropout):
         self.batch_norm3 = nn.BatchNorm2d(512)
 
         src_size = 512
-        self.rnn = nn.LSTM(src_size, rnn_size,
+        self.rnn = nn.LSTM(src_size, int(rnn_size/self.num_directions),
                            num_layers=num_layers,
                            dropout=dropout,
                            bidirectional=bidirectional)
diff --git a/onmt/inputters/image_dataset.py b/onmt/inputters/image_dataset.py
index 0e76c154b2..0210d8f140 100644
--- a/onmt/inputters/image_dataset.py
+++ b/onmt/inputters/image_dataset.py
@@ -8,6 +8,7 @@
 
 import torch
 import torchtext
+import cv2
 
 from onmt.inputters.dataset_base import DatasetBase, PAD_WORD, BOS_WORD, \
     EOS_WORD
@@ -79,7 +80,7 @@ def sort_key(self, ex):
         return (ex.src.size(2), ex.src.size(1))
 
     @staticmethod
-    def make_image_examples_nfeats_tpl(img_iter, img_path, img_dir):
+    def make_image_examples_nfeats_tpl(img_iter, img_path, img_dir, image_chanel_size=3):
         """
         Note: one of img_iter and img_path must be not None
         Args:
@@ -95,7 +96,8 @@ def make_image_examples_nfeats_tpl(img_iter, img_path, img_dir):
         if img_iter is None:
             if img_path is not None:
                 img_iter = ImageDataset.make_img_iterator_from_file(img_path,
-                                                                    img_dir)
+                                                                    img_dir,
+                                                                    image_chanel_size)
             else:
                 raise ValueError("""One of 'img_iter' and 'img_path'
                                     must be not None""")
@@ -131,7 +133,7 @@ def make_examples(img_iter, src_dir, side, truncate=None):
             yield example_dict
 
     @staticmethod
-    def make_img_iterator_from_file(path, src_dir):
+    def make_img_iterator_from_file(path, src_dir, image_chanel_size=3):
         """
         Args:
             path(str):
@@ -154,7 +156,11 @@ def make_img_iterator_from_file(path, src_dir):
                 assert os.path.exists(img_path), \
                     'img path %s not found' % (line.strip())
 
-                img = transforms.ToTensor()(Image.open(img_path))
+                if (image_chanel_size == 1):
+                    img = transforms.ToTensor()(Image.fromarray(cv2.imread(img_path,0)))
+                else:
+                    img = transforms.ToTensor()(Image.open(img_path))
+
                 yield img, filename
 
     @staticmethod
diff --git a/onmt/inputters/inputter.py b/onmt/inputters/inputter.py
index e23868a0e3..2a4f1353c4 100644
--- a/onmt/inputters/inputter.py
+++ b/onmt/inputters/inputter.py
@@ -17,6 +17,7 @@
 from onmt.inputters.audio_dataset import AudioDataset
 from onmt.utils.logging import logger
 
+import gc
 
 def _getstate(self):
     return dict(self.__dict__, stoi=dict(self.stoi))
@@ -184,7 +185,7 @@ def build_dataset(fields, data_type, src_data_iter=None, src_path=None,
                   src_seq_length_trunc=0, tgt_seq_length_trunc=0,
                   dynamic_dict=True, sample_rate=0,
                   window_size=0, window_stride=0, window=None,
-                  normalize_audio=True, use_filter_pred=True):
+                  normalize_audio=True, use_filter_pred=True, image_chanel_size=3):
     """
     Build src/tgt examples iterator from corpus files, also extract
     number of features.
@@ -192,7 +193,7 @@ def build_dataset(fields, data_type, src_data_iter=None, src_path=None,
     def _make_examples_nfeats_tpl(data_type, src_data_iter, src_path, src_dir,
                                   src_seq_length_trunc, sample_rate,
                                   window_size, window_stride,
-                                  window, normalize_audio):
+                                  window, normalize_audio, image_chanel_size=3):
         """
         Process the corpus into (example_dict iterator, num_feats) tuple
         on source side for different 'data_type'.
@@ -206,7 +207,7 @@ def _make_examples_nfeats_tpl(data_type, src_data_iter, src_path, src_dir,
         elif data_type == 'img':
             src_examples_iter, num_src_feats = \
                 ImageDataset.make_image_examples_nfeats_tpl(
-                    src_data_iter, src_path, src_dir)
+                    src_data_iter, src_path, src_dir, image_chanel_size)
 
         elif data_type == 'audio':
             if src_data_iter:
@@ -246,7 +247,8 @@ def _make_examples_nfeats_tpl(data_type, src_data_iter, src_path, src_dir,
         dataset = ImageDataset(fields, src_examples_iter, tgt_examples_iter,
                                num_src_feats, num_tgt_feats,
                                tgt_seq_length=tgt_seq_length,
-                               use_filter_pred=use_filter_pred)
+                               use_filter_pred=use_filter_pred,
+                               image_chanel_size=image_chanel_size)
 
     elif data_type == 'audio':
         dataset = AudioDataset(fields, src_examples_iter, tgt_examples_iter,
@@ -292,6 +294,11 @@ def build_vocab(train_dataset_files, fields, data_type, share_vocab,
         Dict of Fields
     """
     counter = {}
+
+    # Prop src from field to get lower memory using when training with image
+    if data_type == 'img':
+        fields.pop("src")
+
     for k in fields:
         counter[k] = Counter()
 
@@ -299,7 +306,7 @@ def build_vocab(train_dataset_files, fields, data_type, share_vocab,
     src_vocab = load_vocabulary(src_vocab_path, tag="source")
     tgt_vocab = load_vocabulary(tgt_vocab_path, tag="target")
 
-    for path in train_dataset_files:
+    for index, path in enumerate(train_dataset_files):
         dataset = torch.load(path)
         logger.info(" * reloading %s." % path)
         for ex in dataset.examples:
@@ -313,6 +320,15 @@ def build_vocab(train_dataset_files, fields, data_type, share_vocab,
                     val = [item for item in val if item in tgt_vocab]
                 counter[k].update(val)
 
+        # Drop the none-using from memory but keep the last
+        if (index < len(train_dataset_files) - 1):
+            dataset.examples = None
+            gc.collect()
+            del dataset.examples
+            gc.collect()
+            del dataset
+            gc.collect()
+
     _build_field_vocab(fields["tgt"], counter["tgt"],
                        max_size=tgt_vocab_size,
                        min_freq=tgt_words_min_frequency)
@@ -442,6 +458,12 @@ def __len__(self):
 
     def _next_dataset_iterator(self, dataset_iter):
         try:
+            # Drop the current dataset for decreasing memory
+            self.cur_dataset = None
+            gc.collect()
+            del self.cur_dataset
+            gc.collect()
+
             cur_dataset = next(dataset_iter)
         except StopIteration:
             return None
diff --git a/onmt/model_builder.py b/onmt/model_builder.py
index 76cc6a8af3..bdb76a2d2d 100644
--- a/onmt/model_builder.py
+++ b/onmt/model_builder.py
@@ -168,7 +168,8 @@ def build_base_model(model_opt, fields, gpu, checkpoint=None):
         encoder = ImageEncoder(model_opt.enc_layers,
                                model_opt.brnn,
                                model_opt.rnn_size,
-                               model_opt.dropout)
+                               model_opt.dropout,
+                               model_opt.image_chanel_size)
     elif model_opt.model_type == "audio":
         encoder = AudioEncoder(model_opt.enc_layers,
                                model_opt.brnn,
diff --git a/onmt/opts.py b/onmt/opts.py
index 0729fa8179..14f7a23f01 100644
--- a/onmt/opts.py
+++ b/onmt/opts.py
@@ -410,6 +410,10 @@ def train_opts(parser):
     group.add_argument('-window_size', type=float, default=.02,
                        help="Window size for spectrogram in seconds.")
 
+    # Option most relevant to image input
+    group.add_argument('-image_chanel_size', type=int, default=3,
+                       choices=[3, 1],
+                       help='Using grayscale image can training OCR model faster and smaller')
 
 def translate_opts(parser):
     """ Translation / inference options """
@@ -521,6 +525,10 @@ def translate_opts(parser):
     group.add_argument('-window', default='hamming',
                        help='Window type for spectrogram generation')
 
+    # Option most relevant to image input
+    group.add_argument('-image_chanel_size', type=int, default=3,
+                       choices=[3, 1],
+                       help='Using grayscale image can training OCR model faster and smaller')
 
 def add_md_help_argument(parser):
     """ md help parser """
diff --git a/onmt/translate/translator.py b/onmt/translate/translator.py
index 740ebcd4a2..b647d98122 100644
--- a/onmt/translate/translator.py
+++ b/onmt/translate/translator.py
@@ -46,7 +46,7 @@ def build_translator(opt, report_score=True, logger=None, out_file=None):
               for k in ["beam_size", "n_best", "max_length", "min_length",
                         "stepwise_penalty", "block_ngram_repeat",
                         "ignore_when_blocking", "dump_beam", "report_bleu",
-                        "data_type", "replace_unk", "gpu", "verbose", "fast"]}
+                        "data_type", "replace_unk", "gpu", "verbose", "fast", "image_chanel_size"]}
 
     translator = Translator(model, fields, global_scorer=scorer,
                             out_file=out_file, report_score=report_score,
@@ -102,7 +102,8 @@ def __init__(self,
                  report_rouge=False,
                  verbose=False,
                  out_file=None,
-                 fast=False):
+                 fast=False,
+                 image_chanel_size=3):
         self.logger = logger
         self.gpu = gpu
         self.cuda = gpu > -1
@@ -132,6 +133,7 @@ def __init__(self,
         self.report_bleu = report_bleu
         self.report_rouge = report_rouge
         self.fast = fast
+        self.image_chanel_size= image_chanel_size
 
         # for debugging
         self.beam_trace = self.dump_beam != ""
@@ -191,7 +193,8 @@ def translate(self,
                                        window_size=self.window_size,
                                        window_stride=self.window_stride,
                                        window=self.window,
-                                       use_filter_pred=self.use_filter_pred)
+                                       use_filter_pred=self.use_filter_pred,
+                                       image_chanel_size=self.image_chanel_size)
 
         if self.cuda:
             cur_device = "cuda"
diff --git a/preprocess.py b/preprocess.py
index 139cb6efe9..ab8a3423c8 100755
--- a/preprocess.py
+++ b/preprocess.py
@@ -8,9 +8,9 @@
 import os
 import glob
 import sys
-
+import gc
 import torch
-
+import codecs
 from onmt.utils.logging import init_logger, logger
 
 import onmt.inputters as inputters
@@ -119,6 +119,73 @@ def build_save_in_shards(src_corpus, tgt_corpus, fields,
 
     return ret_list
 
+def build_save_in_shards_using_shards_size(src_corpus, tgt_corpus, fields,
+                         corpus_type, opt):
+    """
+    Divide src_corpus and tgt_corpus into smaller multiples
+    src_copus and tgt corpus files, then build shards, each
+    shard will have opt.shard_size samples except last shard.
+
+    The reason we do this is to avoid taking up too much memory due
+    to sucking in a huge corpus file.
+    """
+
+    src_data = open(src_corpus, "r", encoding="utf-8").readlines()
+    tgt_data = open(tgt_corpus, "r", encoding="utf-8").readlines()
+
+    src_corpus = "".join(src_corpus.split(".")[:-1])
+    tgt_corpus = "".join(tgt_corpus.split(".")[:-1])
+
+    for x in range(int(len(src_data) / opt.shard_size)):
+        open(src_corpus + ".{0}.txt".format(x), "w", encoding="utf-8").writelines(src_data[x * opt.shard_size: (x + 1) * opt.shard_size])
+        open(tgt_corpus + ".{0}.txt".format(x), "w", encoding="utf-8").writelines(tgt_data[x * opt.shard_size: (x + 1) * opt.shard_size])
+
+    src_list = sorted(glob.glob(src_corpus + '.*.txt'))
+    tgt_list = sorted(glob.glob(tgt_corpus + '.*.txt'))
+
+    ret_list = []
+
+    for index, src in enumerate(src_list):
+        logger.info("Working with {0}th shard {1} {2}".format(index, src, tgt_list[index]))
+        dataset = inputters.build_dataset(
+            fields, opt.data_type,
+            src_path=src,
+            tgt_path=tgt_list[index],
+            src_dir=opt.src_dir,
+            src_seq_length=opt.src_seq_length,
+            tgt_seq_length=opt.tgt_seq_length,
+            src_seq_length_trunc=opt.src_seq_length_trunc,
+            tgt_seq_length_trunc=opt.tgt_seq_length_trunc,
+            dynamic_dict=opt.dynamic_dict,
+            sample_rate=opt.sample_rate,
+            window_size=opt.window_size,
+            window_stride=opt.window_stride,
+            window=opt.window,
+            image_chanel_size=opt.image_chanel_size
+            )
+
+        if corpus_type == "train":
+            pt_file = "{:s}.{:s}.{:d}.pt".format(
+                opt.save_data, corpus_type, index)
+        else:
+            pt_file = "{:s}.{:s}.pt".format(
+                opt.save_data, corpus_type)
+
+        # We save fields in vocab.pt seperately, so make it empty.
+        dataset.fields = []
+
+        logger.info(" * saving %s %s data image shard to %s."
+                    % (index, corpus_type, pt_file))
+        torch.save(dataset, pt_file)
+
+        ret_list.append(pt_file)
+
+        del dataset.examples
+        gc.collect()
+        del dataset
+        gc.collect()
+
+    return ret_list
 
 def build_save_dataset(corpus_type, fields, opt):
     """ Building and saving the dataset """
@@ -137,6 +204,10 @@ def build_save_dataset(corpus_type, fields, opt):
             src_corpus, tgt_corpus, fields,
             corpus_type, opt)
 
+    if (opt.shard_size > 0):
+        return build_save_in_shards_using_shards_size(src_corpus, tgt_corpus, fields,
+                                                    corpus_type, opt)
+
     # For data_type == 'img' or 'audio', currently we don't do
     # preprocess sharding. We only build a monolithic dataset.
     # But since the interfaces are uniform, it would be not hard
@@ -154,7 +225,8 @@ def build_save_dataset(corpus_type, fields, opt):
         sample_rate=opt.sample_rate,
         window_size=opt.window_size,
         window_stride=opt.window_stride,
-        window=opt.window)
+        window=opt.window,
+        image_chanel_size=opt.image_chanel_size)
 
     # We save fields in vocab.pt seperately, so make it empty.
     dataset.fields = []
diff --git a/requirements.txt b/requirements.txt
index b3d41b8a1a..b07dbdcfac 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -3,3 +3,4 @@ tqdm
 torch>=0.4.0
 git+https://github.com/pytorch/text
 future
+opencv-python
\ No newline at end of file

From 5b2f728ba402673f7d63f57b1df60d0c2144f138 Mon Sep 17 00:00:00 2001
From: Hoang Viet <vieritolove@gmail.com>
Date: Thu, 13 Sep 2018 12:08:48 +0700
Subject: [PATCH 08/26] add shard_size option

---
 onmt/opts.py | 12 ++++--------
 1 file changed, 4 insertions(+), 8 deletions(-)

diff --git a/onmt/opts.py b/onmt/opts.py
index 14f7a23f01..db8f54c8cf 100644
--- a/onmt/opts.py
+++ b/onmt/opts.py
@@ -157,14 +157,10 @@ def preprocess_opts(parser):
     group.add_argument('-save_data', required=True,
                        help="Output file for the prepared data")
 
-    group.add_argument('-max_shard_size', type=int, default=0,
-                       help="""For text corpus of large volume, it will
-                       be divided into shards of this size to preprocess.
-                       If 0, the data will be handled as a whole. The unit
-                       is in bytes. Optimal value should be multiples of
-                       64 bytes. A commonly used sharding value is 131072000.
-                       It is recommended to ensure the corpus is shuffled
-                       before sharding.""")
+    group.add_argument('-shard_size', type=int, default=0,
+                       help="""Divide src_corpus and tgt_corpus into smaller multiples
+                        src_copus and tgt corpus files, then build shards, each
+                        shard will have opt.shard_size samples except last shard.""")
 
     # Dictionary options, for text corpus
 

From 43ae162cb709935afa815a0a279b67820db1552a Mon Sep 17 00:00:00 2001
From: Hoang Viet <vieritolove@gmail.com>
Date: Thu, 13 Sep 2018 13:43:34 +0700
Subject: [PATCH 09/26] fix options training and add building shards for
 validation set

---
 onmt/inputters/image_dataset.py |  3 ++-
 onmt/model_builder.py           |  7 ++++++-
 onmt/opts.py                    |  4 ++++
 preprocess.py                   | 20 ++++++++------------
 4 files changed, 20 insertions(+), 14 deletions(-)

diff --git a/onmt/inputters/image_dataset.py b/onmt/inputters/image_dataset.py
index 0210d8f140..5594e7b7d2 100644
--- a/onmt/inputters/image_dataset.py
+++ b/onmt/inputters/image_dataset.py
@@ -35,12 +35,13 @@ class ImageDataset(DatasetBase):
 
     def __init__(self, fields, src_examples_iter, tgt_examples_iter,
                  num_src_feats=0, num_tgt_feats=0,
-                 tgt_seq_length=0, use_filter_pred=True):
+                 tgt_seq_length=0, use_filter_pred=True, image_chanel_size=3):
         self.data_type = 'img'
 
         self.n_src_feats = num_src_feats
         self.n_tgt_feats = num_tgt_feats
 
+        self.image_chanel_size = image_chanel_size
         if tgt_examples_iter is not None:
             examples_iter = (self._join_dicts(src, tgt) for src, tgt in
                              zip(src_examples_iter, tgt_examples_iter))
diff --git a/onmt/model_builder.py b/onmt/model_builder.py
index bdb76a2d2d..3ebe5d3100 100644
--- a/onmt/model_builder.py
+++ b/onmt/model_builder.py
@@ -165,11 +165,16 @@ def build_base_model(model_opt, fields, gpu, checkpoint=None):
         src_embeddings = build_embeddings(model_opt, src_dict, feature_dicts)
         encoder = build_encoder(model_opt, src_embeddings)
     elif model_opt.model_type == "img":
+        if ("image_chanel_size" not in model_opt.__dict__):
+            image_chanel_size = 3
+        else:
+            image_chanel_size = model_opt.image_chanel_size
+
         encoder = ImageEncoder(model_opt.enc_layers,
                                model_opt.brnn,
                                model_opt.rnn_size,
                                model_opt.dropout,
-                               model_opt.image_chanel_size)
+                               image_chanel_size)
     elif model_opt.model_type == "audio":
         encoder = AudioEncoder(model_opt.enc_layers,
                                model_opt.brnn,
diff --git a/onmt/opts.py b/onmt/opts.py
index db8f54c8cf..85edd18a1f 100644
--- a/onmt/opts.py
+++ b/onmt/opts.py
@@ -222,6 +222,10 @@ def preprocess_opts(parser):
     group.add_argument('-window', default='hamming',
                        help="Window type for spectrogram generation.")
 
+    # Option most relevant to image input
+    group.add_argument('-image_chanel_size', type=int, default=3,
+                       choices=[3, 1],
+                       help='Using grayscale image can training OCR model faster and smaller')
 
 def train_opts(parser):
     """ Training and saving options """
diff --git a/preprocess.py b/preprocess.py
index ab8a3423c8..241b027ab8 100755
--- a/preprocess.py
+++ b/preprocess.py
@@ -146,7 +146,7 @@ def build_save_in_shards_using_shards_size(src_corpus, tgt_corpus, fields,
     ret_list = []
 
     for index, src in enumerate(src_list):
-        logger.info("Working with {0}th shard {1} {2}".format(index, src, tgt_list[index]))
+        # logger.info("Working with {0}th shard {1} {2}".format(index, src, tgt_list[index]))
         dataset = inputters.build_dataset(
             fields, opt.data_type,
             src_path=src,
@@ -164,17 +164,13 @@ def build_save_in_shards_using_shards_size(src_corpus, tgt_corpus, fields,
             image_chanel_size=opt.image_chanel_size
             )
 
-        if corpus_type == "train":
-            pt_file = "{:s}.{:s}.{:d}.pt".format(
-                opt.save_data, corpus_type, index)
-        else:
-            pt_file = "{:s}.{:s}.pt".format(
-                opt.save_data, corpus_type)
+        pt_file = "{:s}.{:s}.{:d}.pt".format(
+            opt.save_data, corpus_type, index)
 
         # We save fields in vocab.pt seperately, so make it empty.
         dataset.fields = []
 
-        logger.info(" * saving %s %s data image shard to %s."
+        logger.info(" * saving %sth %s data image shard to %s."
                     % (index, corpus_type, pt_file))
         torch.save(dataset, pt_file)
 
@@ -272,11 +268,11 @@ def main():
     logger.info("Building & saving training data...")
     train_dataset_files = build_save_dataset('train', fields, opt)
 
-    logger.info("Building & saving vocabulary...")
-    build_save_vocab(train_dataset_files, fields, opt)
-
     logger.info("Building & saving validation data...")
-    build_save_dataset('valid', fields, opt)
+    valid_dataset_files = build_save_dataset('valid', fields, opt)
+
+    logger.info("Building & saving vocabulary...")
+    build_save_vocab(train_dataset_files + valid_dataset_files, fields, opt)
 
 
 if __name__ == "__main__":

From 8d78e11452ab8ae70d15e6f2dc0c086470388d8f Mon Sep 17 00:00:00 2001
From: Hoang Viet <vieritolove@gmail.com>
Date: Thu, 13 Sep 2018 13:47:49 +0700
Subject: [PATCH 10/26] fix wrong grammar =)))

---
 onmt/inputters/image_dataset.py | 12 ++++++------
 onmt/inputters/inputter.py      |  8 ++++----
 onmt/model_builder.py           |  8 ++++----
 onmt/opts.py                    |  6 +++---
 onmt/translate/translator.py    |  8 ++++----
 preprocess.py                   |  4 ++--
 6 files changed, 23 insertions(+), 23 deletions(-)

diff --git a/onmt/inputters/image_dataset.py b/onmt/inputters/image_dataset.py
index 5594e7b7d2..848d57fa09 100644
--- a/onmt/inputters/image_dataset.py
+++ b/onmt/inputters/image_dataset.py
@@ -35,13 +35,13 @@ class ImageDataset(DatasetBase):
 
     def __init__(self, fields, src_examples_iter, tgt_examples_iter,
                  num_src_feats=0, num_tgt_feats=0,
-                 tgt_seq_length=0, use_filter_pred=True, image_chanel_size=3):
+                 tgt_seq_length=0, use_filter_pred=True, image_channel_size=3):
         self.data_type = 'img'
 
         self.n_src_feats = num_src_feats
         self.n_tgt_feats = num_tgt_feats
 
-        self.image_chanel_size = image_chanel_size
+        self.image_channel_size = image_channel_size
         if tgt_examples_iter is not None:
             examples_iter = (self._join_dicts(src, tgt) for src, tgt in
                              zip(src_examples_iter, tgt_examples_iter))
@@ -81,7 +81,7 @@ def sort_key(self, ex):
         return (ex.src.size(2), ex.src.size(1))
 
     @staticmethod
-    def make_image_examples_nfeats_tpl(img_iter, img_path, img_dir, image_chanel_size=3):
+    def make_image_examples_nfeats_tpl(img_iter, img_path, img_dir, image_channel_size=3):
         """
         Note: one of img_iter and img_path must be not None
         Args:
@@ -98,7 +98,7 @@ def make_image_examples_nfeats_tpl(img_iter, img_path, img_dir, image_chanel_siz
             if img_path is not None:
                 img_iter = ImageDataset.make_img_iterator_from_file(img_path,
                                                                     img_dir,
-                                                                    image_chanel_size)
+                                                                    image_channel_size)
             else:
                 raise ValueError("""One of 'img_iter' and 'img_path'
                                     must be not None""")
@@ -134,7 +134,7 @@ def make_examples(img_iter, src_dir, side, truncate=None):
             yield example_dict
 
     @staticmethod
-    def make_img_iterator_from_file(path, src_dir, image_chanel_size=3):
+    def make_img_iterator_from_file(path, src_dir, image_channel_size=3):
         """
         Args:
             path(str):
@@ -157,7 +157,7 @@ def make_img_iterator_from_file(path, src_dir, image_chanel_size=3):
                 assert os.path.exists(img_path), \
                     'img path %s not found' % (line.strip())
 
-                if (image_chanel_size == 1):
+                if (image_channel_size == 1):
                     img = transforms.ToTensor()(Image.fromarray(cv2.imread(img_path,0)))
                 else:
                     img = transforms.ToTensor()(Image.open(img_path))
diff --git a/onmt/inputters/inputter.py b/onmt/inputters/inputter.py
index 2a4f1353c4..5eb17879dd 100644
--- a/onmt/inputters/inputter.py
+++ b/onmt/inputters/inputter.py
@@ -185,7 +185,7 @@ def build_dataset(fields, data_type, src_data_iter=None, src_path=None,
                   src_seq_length_trunc=0, tgt_seq_length_trunc=0,
                   dynamic_dict=True, sample_rate=0,
                   window_size=0, window_stride=0, window=None,
-                  normalize_audio=True, use_filter_pred=True, image_chanel_size=3):
+                  normalize_audio=True, use_filter_pred=True, image_channel_size=3):
     """
     Build src/tgt examples iterator from corpus files, also extract
     number of features.
@@ -193,7 +193,7 @@ def build_dataset(fields, data_type, src_data_iter=None, src_path=None,
     def _make_examples_nfeats_tpl(data_type, src_data_iter, src_path, src_dir,
                                   src_seq_length_trunc, sample_rate,
                                   window_size, window_stride,
-                                  window, normalize_audio, image_chanel_size=3):
+                                  window, normalize_audio, image_channel_size=3):
         """
         Process the corpus into (example_dict iterator, num_feats) tuple
         on source side for different 'data_type'.
@@ -207,7 +207,7 @@ def _make_examples_nfeats_tpl(data_type, src_data_iter, src_path, src_dir,
         elif data_type == 'img':
             src_examples_iter, num_src_feats = \
                 ImageDataset.make_image_examples_nfeats_tpl(
-                    src_data_iter, src_path, src_dir, image_chanel_size)
+                    src_data_iter, src_path, src_dir, image_channel_size)
 
         elif data_type == 'audio':
             if src_data_iter:
@@ -248,7 +248,7 @@ def _make_examples_nfeats_tpl(data_type, src_data_iter, src_path, src_dir,
                                num_src_feats, num_tgt_feats,
                                tgt_seq_length=tgt_seq_length,
                                use_filter_pred=use_filter_pred,
-                               image_chanel_size=image_chanel_size)
+                               image_channel_size=image_channel_size)
 
     elif data_type == 'audio':
         dataset = AudioDataset(fields, src_examples_iter, tgt_examples_iter,
diff --git a/onmt/model_builder.py b/onmt/model_builder.py
index 3ebe5d3100..26567fcb28 100644
--- a/onmt/model_builder.py
+++ b/onmt/model_builder.py
@@ -165,16 +165,16 @@ def build_base_model(model_opt, fields, gpu, checkpoint=None):
         src_embeddings = build_embeddings(model_opt, src_dict, feature_dicts)
         encoder = build_encoder(model_opt, src_embeddings)
     elif model_opt.model_type == "img":
-        if ("image_chanel_size" not in model_opt.__dict__):
-            image_chanel_size = 3
+        if ("image_channel_size" not in model_opt.__dict__):
+            image_channel_size = 3
         else:
-            image_chanel_size = model_opt.image_chanel_size
+            image_channel_size = model_opt.image_channel_size
 
         encoder = ImageEncoder(model_opt.enc_layers,
                                model_opt.brnn,
                                model_opt.rnn_size,
                                model_opt.dropout,
-                               image_chanel_size)
+                               image_channel_size)
     elif model_opt.model_type == "audio":
         encoder = AudioEncoder(model_opt.enc_layers,
                                model_opt.brnn,
diff --git a/onmt/opts.py b/onmt/opts.py
index 85edd18a1f..ad328cb5ed 100644
--- a/onmt/opts.py
+++ b/onmt/opts.py
@@ -223,7 +223,7 @@ def preprocess_opts(parser):
                        help="Window type for spectrogram generation.")
 
     # Option most relevant to image input
-    group.add_argument('-image_chanel_size', type=int, default=3,
+    group.add_argument('-image_channel_size', type=int, default=3,
                        choices=[3, 1],
                        help='Using grayscale image can training OCR model faster and smaller')
 
@@ -411,7 +411,7 @@ def train_opts(parser):
                        help="Window size for spectrogram in seconds.")
 
     # Option most relevant to image input
-    group.add_argument('-image_chanel_size', type=int, default=3,
+    group.add_argument('-image_channel_size', type=int, default=3,
                        choices=[3, 1],
                        help='Using grayscale image can training OCR model faster and smaller')
 
@@ -526,7 +526,7 @@ def translate_opts(parser):
                        help='Window type for spectrogram generation')
 
     # Option most relevant to image input
-    group.add_argument('-image_chanel_size', type=int, default=3,
+    group.add_argument('-image_channel_size', type=int, default=3,
                        choices=[3, 1],
                        help='Using grayscale image can training OCR model faster and smaller')
 
diff --git a/onmt/translate/translator.py b/onmt/translate/translator.py
index b647d98122..c338771937 100644
--- a/onmt/translate/translator.py
+++ b/onmt/translate/translator.py
@@ -46,7 +46,7 @@ def build_translator(opt, report_score=True, logger=None, out_file=None):
               for k in ["beam_size", "n_best", "max_length", "min_length",
                         "stepwise_penalty", "block_ngram_repeat",
                         "ignore_when_blocking", "dump_beam", "report_bleu",
-                        "data_type", "replace_unk", "gpu", "verbose", "fast", "image_chanel_size"]}
+                        "data_type", "replace_unk", "gpu", "verbose", "fast", "image_channel_size"]}
 
     translator = Translator(model, fields, global_scorer=scorer,
                             out_file=out_file, report_score=report_score,
@@ -103,7 +103,7 @@ def __init__(self,
                  verbose=False,
                  out_file=None,
                  fast=False,
-                 image_chanel_size=3):
+                 image_channel_size=3):
         self.logger = logger
         self.gpu = gpu
         self.cuda = gpu > -1
@@ -133,7 +133,7 @@ def __init__(self,
         self.report_bleu = report_bleu
         self.report_rouge = report_rouge
         self.fast = fast
-        self.image_chanel_size= image_chanel_size
+        self.image_channel_size= image_channel_size
 
         # for debugging
         self.beam_trace = self.dump_beam != ""
@@ -194,7 +194,7 @@ def translate(self,
                                        window_stride=self.window_stride,
                                        window=self.window,
                                        use_filter_pred=self.use_filter_pred,
-                                       image_chanel_size=self.image_chanel_size)
+                                       image_channel_size=self.image_channel_size)
 
         if self.cuda:
             cur_device = "cuda"
diff --git a/preprocess.py b/preprocess.py
index 241b027ab8..a690a2014c 100755
--- a/preprocess.py
+++ b/preprocess.py
@@ -161,7 +161,7 @@ def build_save_in_shards_using_shards_size(src_corpus, tgt_corpus, fields,
             window_size=opt.window_size,
             window_stride=opt.window_stride,
             window=opt.window,
-            image_chanel_size=opt.image_chanel_size
+            image_channel_size=opt.image_channel_size
             )
 
         pt_file = "{:s}.{:s}.{:d}.pt".format(
@@ -222,7 +222,7 @@ def build_save_dataset(corpus_type, fields, opt):
         window_size=opt.window_size,
         window_stride=opt.window_stride,
         window=opt.window,
-        image_chanel_size=opt.image_chanel_size)
+        image_channel_size=opt.image_channel_size)
 
     # We save fields in vocab.pt seperately, so make it empty.
     dataset.fields = []

From 836330a4924cf1928df6d4c01ea795fc21cb6c10 Mon Sep 17 00:00:00 2001
From: Hoang Viet <vieritolove@gmail.com>
Date: Thu, 13 Sep 2018 15:29:27 +0700
Subject: [PATCH 11/26] Fix lack of params

---
 onmt/opts.py | 24 +++++++++++++++++++++---
 1 file changed, 21 insertions(+), 3 deletions(-)

diff --git a/onmt/opts.py b/onmt/opts.py
index ad328cb5ed..b6bb7c244c 100644
--- a/onmt/opts.py
+++ b/onmt/opts.py
@@ -133,6 +133,10 @@ def model_opts(parser):
     group.add_argument('-lambda_coverage', type=float, default=1,
                        help='Lambda value for coverage.')
 
+    # Option most relevant to image input
+    group.add_argument('-image_channel_size', type=int, default=3,
+                       choices=[3, 1],
+                       help='Using grayscale image can training OCR model faster and smaller')
 
 def preprocess_opts(parser):
     """ Pre-procesing options """
@@ -157,10 +161,23 @@ def preprocess_opts(parser):
     group.add_argument('-save_data', required=True,
                        help="Output file for the prepared data")
 
+    group.add_argument('-max_shard_size', type=int, default=0,
+                       help="""For text corpus of large volume, it will
+                       be divided into shards of this size to preprocess.
+                       If 0, the data will be handled as a whole. The unit
+                       is in bytes. Optimal value should be multiples of
+                       64 bytes. A commonly used sharding value is 131072000.
+                       It is recommended to ensure the corpus is shuffled
+                       before sharding.""")
+
     group.add_argument('-shard_size', type=int, default=0,
-                       help="""Divide src_corpus and tgt_corpus into smaller multiples
+                       help="""Divide src_corpus and tgt_corpus into smaller multiple
                         src_copus and tgt corpus files, then build shards, each
-                        shard will have opt.shard_size samples except last shard.""")
+                        shard will have opt.shard_size samples except last shard.
+                        shard_size=0 means no segmentation
+                        shard_size>0 means segment dataset into multiple shards, 
+                        each shard has shard_size samples
+                        """)
 
     # Dictionary options, for text corpus
 
@@ -410,6 +427,7 @@ def train_opts(parser):
     group.add_argument('-window_size', type=float, default=.02,
                        help="Window size for spectrogram in seconds.")
 
+
     # Option most relevant to image input
     group.add_argument('-image_channel_size', type=int, default=3,
                        choices=[3, 1],
@@ -607,4 +625,4 @@ def __init__(self, option_strings, dest, help=None, **kwargs):
     def __call__(self, parser, namespace, values, flag_name):
         help = self.help if self.mdhelp is not None else ""
         msg = "Flag '%s' is deprecated. %s" % (flag_name, help)
-        raise argparse.ArgumentTypeError(msg)
+        raise argparse.ArgumentTypeError(msg)
\ No newline at end of file

From 27ec094a5ea36c546d95543698e68114b2cc214f Mon Sep 17 00:00:00 2001
From: Hoang Viet <vieritolove@gmail.com>
Date: Thu, 13 Sep 2018 16:10:23 +0700
Subject: [PATCH 12/26] fix conflict between params

---
 onmt/opts.py | 6 ------
 1 file changed, 6 deletions(-)

diff --git a/onmt/opts.py b/onmt/opts.py
index b6bb7c244c..2ea8527d0f 100644
--- a/onmt/opts.py
+++ b/onmt/opts.py
@@ -133,11 +133,6 @@ def model_opts(parser):
     group.add_argument('-lambda_coverage', type=float, default=1,
                        help='Lambda value for coverage.')
 
-    # Option most relevant to image input
-    group.add_argument('-image_channel_size', type=int, default=3,
-                       choices=[3, 1],
-                       help='Using grayscale image can training OCR model faster and smaller')
-
 def preprocess_opts(parser):
     """ Pre-procesing options """
     # Data options
@@ -427,7 +422,6 @@ def train_opts(parser):
     group.add_argument('-window_size', type=float, default=.02,
                        help="Window size for spectrogram in seconds.")
 
-
     # Option most relevant to image input
     group.add_argument('-image_channel_size', type=int, default=3,
                        choices=[3, 1],

From 1ab95c3b7183f8825c0e4e6ed30faea70f746fbc Mon Sep 17 00:00:00 2001
From: Hoang Viet <vieritolove@gmail.com>
Date: Thu, 13 Sep 2018 17:50:08 +0700
Subject: [PATCH 13/26] reformat code to pass flake8

---
 onmt/encoders/image_encoder.py  | 10 +++++-----
 onmt/inputters/image_dataset.py |  6 +++---
 onmt/inputters/inputter.py      |  3 +++
 onmt/opts.py                    | 12 ++++++++----
 onmt/translate/translator.py    | 24 +++++++++++++-----------
 preprocess.py                   | 15 +++++++++------
 6 files changed, 41 insertions(+), 29 deletions(-)

diff --git a/onmt/encoders/image_encoder.py b/onmt/encoders/image_encoder.py
index cb32272e1c..767987490a 100644
--- a/onmt/encoders/image_encoder.py
+++ b/onmt/encoders/image_encoder.py
@@ -40,7 +40,7 @@ def __init__(self, num_layers, bidirectional, rnn_size, dropout, image_chanel_si
         self.batch_norm3 = nn.BatchNorm2d(512)
 
         src_size = 512
-        self.rnn = nn.LSTM(src_size, int(rnn_size/self.num_directions),
+        self.rnn = nn.LSTM(src_size, int(rnn_size / self.num_directions),
                            num_layers=num_layers,
                            dropout=dropout,
                            bidirectional=bidirectional)
@@ -56,7 +56,7 @@ def forward(self, src, lengths=None):
         batch_size = src.size(0)
         # (batch_size, 64, imgH, imgW)
         # layer 1
-        src = F.relu(self.layer1(src[:, :, :, :]-0.5), True)
+        src = F.relu(self.layer1(src[:, :, :, :] - 0.5), True)
 
         # (batch_size, 64, imgH/2, imgW/2)
         src = F.max_pool2d(src, kernel_size=(2, 2), stride=(2, 2))
@@ -94,10 +94,10 @@ def forward(self, src, lengths=None):
         # # (batch_size, 512, H, W)
         all_outputs = []
         for row in range(src.size(2)):
-            inp = src[:, :, row, :].transpose(0, 2)\
+            inp = src[:, :, row, :].transpose(0, 2) \
                 .transpose(1, 2)
-            row_vec = torch.Tensor(batch_size).type_as(inp.data)\
-                                              .long().fill_(row)
+            row_vec = torch.Tensor(batch_size).type_as(inp.data) \
+                .long().fill_(row)
             pos_emb = self.pos_lut(row_vec)
             with_pos = torch.cat(
                 (pos_emb.view(1, pos_emb.size(0), pos_emb.size(1)), inp), 0)
diff --git a/onmt/inputters/image_dataset.py b/onmt/inputters/image_dataset.py
index 848d57fa09..3bb7ea866c 100644
--- a/onmt/inputters/image_dataset.py
+++ b/onmt/inputters/image_dataset.py
@@ -119,7 +119,7 @@ def make_examples(img_iter, src_dir, side, truncate=None):
         Yields:
             a dictionary containing image data, path and index for each line.
         """
-        assert (src_dir is not None) and os.path.exists(src_dir),\
+        assert (src_dir is not None) and os.path.exists(src_dir), \
             'src_dir must be a valid directory if data_type is img'
 
         for index, (img, filename) in enumerate(img_iter):
@@ -129,7 +129,7 @@ def make_examples(img_iter, src_dir, side, truncate=None):
                     continue
 
             example_dict = {side: img,
-                            side+'_path': filename,
+                            side + '_path': filename,
                             'indices': index}
             yield example_dict
 
@@ -158,7 +158,7 @@ def make_img_iterator_from_file(path, src_dir, image_channel_size=3):
                     'img path %s not found' % (line.strip())
 
                 if (image_channel_size == 1):
-                    img = transforms.ToTensor()(Image.fromarray(cv2.imread(img_path,0)))
+                    img = transforms.ToTensor()(Image.fromarray(cv2.imread(img_path, 0)))
                 else:
                     img = transforms.ToTensor()(Image.open(img_path))
 
diff --git a/onmt/inputters/inputter.py b/onmt/inputters/inputter.py
index 5eb17879dd..2bb22b6421 100644
--- a/onmt/inputters/inputter.py
+++ b/onmt/inputters/inputter.py
@@ -19,6 +19,7 @@
 
 import gc
 
+
 def _getstate(self):
     return dict(self.__dict__, stoi=dict(self.stoi))
 
@@ -190,6 +191,7 @@ def build_dataset(fields, data_type, src_data_iter=None, src_path=None,
     Build src/tgt examples iterator from corpus files, also extract
     number of features.
     """
+
     def _make_examples_nfeats_tpl(data_type, src_data_iter, src_path, src_dir,
                                   src_seq_length_trunc, sample_rate,
                                   window_size, window_stride,
@@ -408,6 +410,7 @@ def _pool(data, random_shuffler):
                         self.batch_size, self.batch_size_fn)
                     for b in random_shuffler(list(p_batch)):
                         yield b
+
             self.batches = _pool(self.data(), self.random_shuffler)
         else:
             self.batches = []
diff --git a/onmt/opts.py b/onmt/opts.py
index 2ea8527d0f..b12c4f5359 100644
--- a/onmt/opts.py
+++ b/onmt/opts.py
@@ -133,6 +133,7 @@ def model_opts(parser):
     group.add_argument('-lambda_coverage', type=float, default=1,
                        help='Lambda value for coverage.')
 
+
 def preprocess_opts(parser):
     """ Pre-procesing options """
     # Data options
@@ -239,6 +240,7 @@ def preprocess_opts(parser):
                        choices=[3, 1],
                        help='Using grayscale image can training OCR model faster and smaller')
 
+
 def train_opts(parser):
     """ Training and saving options """
 
@@ -427,14 +429,15 @@ def train_opts(parser):
                        choices=[3, 1],
                        help='Using grayscale image can training OCR model faster and smaller')
 
+
 def translate_opts(parser):
     """ Translation / inference options """
     group = parser.add_argument_group('Model')
     group.add_argument('-model', dest='models', metavar='MODEL',
                        nargs='+', type=str, default=[], required=True,
                        help='Path to model .pt file(s). '
-                       'Multiple models can be specified, '
-                       'for ensemble decoding.')
+                            'Multiple models can be specified, '
+                            'for ensemble decoding.')
 
     group = parser.add_argument_group('Data')
     group.add_argument('-data_type', default="text",
@@ -542,6 +545,7 @@ def translate_opts(parser):
                        choices=[3, 1],
                        help='Using grayscale image can training OCR model faster and smaller')
 
+
 def add_md_help_argument(parser):
     """ md help parser """
     parser.add_argument('-md', action=MarkdownHelpAction,
@@ -573,7 +577,7 @@ def format_help(self):
         return super(MarkdownHelpFormatter, self).format_help()
 
     def start_section(self, heading):
-        super(MarkdownHelpFormatter, self)\
+        super(MarkdownHelpFormatter, self) \
             .start_section('### **%s**' % heading)
 
     def _format_action(self, action):
@@ -619,4 +623,4 @@ def __init__(self, option_strings, dest, help=None, **kwargs):
     def __call__(self, parser, namespace, values, flag_name):
         help = self.help if self.mdhelp is not None else ""
         msg = "Flag '%s' is deprecated. %s" % (flag_name, help)
-        raise argparse.ArgumentTypeError(msg)
\ No newline at end of file
+        raise argparse.ArgumentTypeError(msg)
diff --git a/onmt/translate/translator.py b/onmt/translate/translator.py
index c338771937..255539b24e 100644
--- a/onmt/translate/translator.py
+++ b/onmt/translate/translator.py
@@ -133,7 +133,7 @@ def __init__(self,
         self.report_bleu = report_bleu
         self.report_rouge = report_rouge
         self.fast = fast
-        self.image_channel_size= image_channel_size
+        self.image_channel_size = image_channel_size
 
         # for debugging
         self.beam_trace = self.dump_beam != ""
@@ -426,8 +426,8 @@ def _fast_translate_batch(self,
 
             # Map beam_index to batch_index in the flat representation.
             batch_index = (
-                topk_beam_index
-                + beam_offset[:topk_beam_index.size(0)].unsqueeze(1))
+                    topk_beam_index
+                    + beam_offset[:topk_beam_index.size(0)].unsqueeze(1))
             select_indices = batch_index.view(-1)
 
             # Append last prediction.
@@ -487,11 +487,11 @@ def _fast_translate_batch(self,
                 batch_index = batch_index.index_select(0, non_finished)
                 batch_offset = batch_offset.index_select(0, non_finished)
                 alive_seq = predictions.index_select(0, non_finished) \
-                                       .view(-1, alive_seq.size(-1))
+                    .view(-1, alive_seq.size(-1))
                 if alive_attn is not None:
                     alive_attn = attention.index_select(1, non_finished) \
-                                          .view(alive_attn.size(0),
-                                                -1, alive_attn.size(-1))
+                        .view(alive_attn.size(0),
+                              -1, alive_attn.size(-1))
 
             # Reorder states.
             select_indices = batch_index.view(-1)
@@ -528,9 +528,11 @@ def _translate_batch(self, batch, data):
                 for __ in range(batch_size)]
 
         # Help functions for working with beams and batches
-        def var(a): return torch.tensor(a, requires_grad=False)
+        def var(a):
+            return torch.tensor(a, requires_grad=False)
 
-        def rvar(a): return var(a.repeat(1, beam_size, 1))
+        def rvar(a):
+            return var(a.repeat(1, beam_size, 1))
 
         def bottle(m):
             return m.view(batch_size * beam_size, -1)
@@ -551,9 +553,9 @@ def unbottle(m):
         if src_lengths is None:
             assert not isinstance(memory_bank, tuple), \
                 'Ensemble decoding only supported for text data'
-            src_lengths = torch.Tensor(batch_size).type_as(memory_bank.data)\
-                                                  .long()\
-                                                  .fill_(memory_bank.size(0))
+            src_lengths = torch.Tensor(batch_size).type_as(memory_bank.data) \
+                .long() \
+                .fill_(memory_bank.size(0))
 
         # (2) Repeat src objects `beam_size` times.
         src_map = rvar(batch.src_map.data) \
diff --git a/preprocess.py b/preprocess.py
index a690a2014c..a34fca16e4 100755
--- a/preprocess.py
+++ b/preprocess.py
@@ -10,7 +10,6 @@
 import sys
 import gc
 import torch
-import codecs
 from onmt.utils.logging import init_logger, logger
 
 import onmt.inputters as inputters
@@ -119,8 +118,9 @@ def build_save_in_shards(src_corpus, tgt_corpus, fields,
 
     return ret_list
 
+
 def build_save_in_shards_using_shards_size(src_corpus, tgt_corpus, fields,
-                         corpus_type, opt):
+                                           corpus_type, opt):
     """
     Divide src_corpus and tgt_corpus into smaller multiples
     src_copus and tgt corpus files, then build shards, each
@@ -137,8 +137,10 @@ def build_save_in_shards_using_shards_size(src_corpus, tgt_corpus, fields,
     tgt_corpus = "".join(tgt_corpus.split(".")[:-1])
 
     for x in range(int(len(src_data) / opt.shard_size)):
-        open(src_corpus + ".{0}.txt".format(x), "w", encoding="utf-8").writelines(src_data[x * opt.shard_size: (x + 1) * opt.shard_size])
-        open(tgt_corpus + ".{0}.txt".format(x), "w", encoding="utf-8").writelines(tgt_data[x * opt.shard_size: (x + 1) * opt.shard_size])
+        open(src_corpus + ".{0}.txt".format(x), "w", encoding="utf-8").writelines(
+            src_data[x * opt.shard_size: (x + 1) * opt.shard_size])
+        open(tgt_corpus + ".{0}.txt".format(x), "w", encoding="utf-8").writelines(
+            tgt_data[x * opt.shard_size: (x + 1) * opt.shard_size])
 
     src_list = sorted(glob.glob(src_corpus + '.*.txt'))
     tgt_list = sorted(glob.glob(tgt_corpus + '.*.txt'))
@@ -162,7 +164,7 @@ def build_save_in_shards_using_shards_size(src_corpus, tgt_corpus, fields,
             window_stride=opt.window_stride,
             window=opt.window,
             image_channel_size=opt.image_channel_size
-            )
+        )
 
         pt_file = "{:s}.{:s}.{:d}.pt".format(
             opt.save_data, corpus_type, index)
@@ -183,6 +185,7 @@ def build_save_in_shards_using_shards_size(src_corpus, tgt_corpus, fields,
 
     return ret_list
 
+
 def build_save_dataset(corpus_type, fields, opt):
     """ Building and saving the dataset """
     assert corpus_type in ['train', 'valid']
@@ -202,7 +205,7 @@ def build_save_dataset(corpus_type, fields, opt):
 
     if (opt.shard_size > 0):
         return build_save_in_shards_using_shards_size(src_corpus, tgt_corpus, fields,
-                                                    corpus_type, opt)
+                                                      corpus_type, opt)
 
     # For data_type == 'img' or 'audio', currently we don't do
     # preprocess sharding. We only build a monolithic dataset.

From 5a3d3c68de921cb25fd625e015f9d5afa536ec2e Mon Sep 17 00:00:00 2001
From: Hoang Viet <vieritolove@gmail.com>
Date: Thu, 13 Sep 2018 18:11:33 +0700
Subject: [PATCH 14/26] reformat code for flake8

---
 onmt/encoders/image_encoder.py  |  3 ++-
 onmt/inputters/image_dataset.py | 11 +++++++----
 onmt/inputters/inputter.py      |  6 ++++--
 onmt/opts.py                    | 23 +++++++++++++----------
 onmt/translate/translator.py    |  5 +++--
 preprocess.py                   | 14 +++++++++-----
 6 files changed, 38 insertions(+), 24 deletions(-)

diff --git a/onmt/encoders/image_encoder.py b/onmt/encoders/image_encoder.py
index 767987490a..8aab1a3006 100644
--- a/onmt/encoders/image_encoder.py
+++ b/onmt/encoders/image_encoder.py
@@ -16,7 +16,8 @@ class ImageEncoder(nn.Module):
         dropout (float): dropout probablity.
     """
 
-    def __init__(self, num_layers, bidirectional, rnn_size, dropout, image_chanel_size=3):
+    def __init__(self, num_layers, bidirectional, rnn_size, dropout,
+                 image_chanel_size=3):
         super(ImageEncoder, self).__init__()
         self.num_layers = num_layers
         self.num_directions = 2 if bidirectional else 1
diff --git a/onmt/inputters/image_dataset.py b/onmt/inputters/image_dataset.py
index 3bb7ea866c..b4c5e9451e 100644
--- a/onmt/inputters/image_dataset.py
+++ b/onmt/inputters/image_dataset.py
@@ -35,7 +35,8 @@ class ImageDataset(DatasetBase):
 
     def __init__(self, fields, src_examples_iter, tgt_examples_iter,
                  num_src_feats=0, num_tgt_feats=0,
-                 tgt_seq_length=0, use_filter_pred=True, image_channel_size=3):
+                 tgt_seq_length=0, use_filter_pred=True,
+                 image_channel_size=3):
         self.data_type = 'img'
 
         self.n_src_feats = num_src_feats
@@ -81,7 +82,8 @@ def sort_key(self, ex):
         return (ex.src.size(2), ex.src.size(1))
 
     @staticmethod
-    def make_image_examples_nfeats_tpl(img_iter, img_path, img_dir, image_channel_size=3):
+    def make_image_examples_nfeats_tpl(img_iter, img_path, img_dir,
+                                       image_channel_size=3):
         """
         Note: one of img_iter and img_path must be not None
         Args:
@@ -98,7 +100,7 @@ def make_image_examples_nfeats_tpl(img_iter, img_path, img_dir, image_channel_si
             if img_path is not None:
                 img_iter = ImageDataset.make_img_iterator_from_file(img_path,
                                                                     img_dir,
-                                                                    image_channel_size)
+                                                        image_channel_size)
             else:
                 raise ValueError("""One of 'img_iter' and 'img_path'
                                     must be not None""")
@@ -158,7 +160,8 @@ def make_img_iterator_from_file(path, src_dir, image_channel_size=3):
                     'img path %s not found' % (line.strip())
 
                 if (image_channel_size == 1):
-                    img = transforms.ToTensor()(Image.fromarray(cv2.imread(img_path, 0)))
+                    img = transforms.ToTensor()(
+                        Image.fromarray(cv2.imread(img_path, 0)))
                 else:
                     img = transforms.ToTensor()(Image.open(img_path))
 
diff --git a/onmt/inputters/inputter.py b/onmt/inputters/inputter.py
index 2bb22b6421..4dd3148516 100644
--- a/onmt/inputters/inputter.py
+++ b/onmt/inputters/inputter.py
@@ -186,7 +186,8 @@ def build_dataset(fields, data_type, src_data_iter=None, src_path=None,
                   src_seq_length_trunc=0, tgt_seq_length_trunc=0,
                   dynamic_dict=True, sample_rate=0,
                   window_size=0, window_stride=0, window=None,
-                  normalize_audio=True, use_filter_pred=True, image_channel_size=3):
+                  normalize_audio=True, use_filter_pred=True,
+                  image_channel_size=3):
     """
     Build src/tgt examples iterator from corpus files, also extract
     number of features.
@@ -195,7 +196,8 @@ def build_dataset(fields, data_type, src_data_iter=None, src_path=None,
     def _make_examples_nfeats_tpl(data_type, src_data_iter, src_path, src_dir,
                                   src_seq_length_trunc, sample_rate,
                                   window_size, window_stride,
-                                  window, normalize_audio, image_channel_size=3):
+                                  window, normalize_audio,
+                                  image_channel_size=3):
         """
         Process the corpus into (example_dict iterator, num_feats) tuple
         on source side for different 'data_type'.
diff --git a/onmt/opts.py b/onmt/opts.py
index b12c4f5359..4e02df584f 100644
--- a/onmt/opts.py
+++ b/onmt/opts.py
@@ -167,13 +167,13 @@ def preprocess_opts(parser):
                        before sharding.""")
 
     group.add_argument('-shard_size', type=int, default=0,
-                       help="""Divide src_corpus and tgt_corpus into smaller multiple
-                        src_copus and tgt corpus files, then build shards, each
-                        shard will have opt.shard_size samples except last shard.
-                        shard_size=0 means no segmentation
-                        shard_size>0 means segment dataset into multiple shards, 
-                        each shard has shard_size samples
-                        """)
+                       help="""Divide src_corpus and tgt_corpus into 
+                       smaller multiple src_copus and tgt corpus files, then 
+                       build shards, each shard will have 
+                       opt.shard_size samples except last shard.
+                       shard_size=0 means no segmentation
+                       shard_size>0 means segment dataset into multiple shards,
+                       each shard has shard_size samples""")
 
     # Dictionary options, for text corpus
 
@@ -238,7 +238,8 @@ def preprocess_opts(parser):
     # Option most relevant to image input
     group.add_argument('-image_channel_size', type=int, default=3,
                        choices=[3, 1],
-                       help='Using grayscale image can training OCR model faster and smaller')
+                       help="""Using grayscale image can training 
+                       OCR model faster and smaller""")
 
 
 def train_opts(parser):
@@ -427,7 +428,8 @@ def train_opts(parser):
     # Option most relevant to image input
     group.add_argument('-image_channel_size', type=int, default=3,
                        choices=[3, 1],
-                       help='Using grayscale image can training OCR model faster and smaller')
+                       help="""Using grayscale image can training 
+                       OCR model faster and smaller""")
 
 
 def translate_opts(parser):
@@ -543,7 +545,8 @@ def translate_opts(parser):
     # Option most relevant to image input
     group.add_argument('-image_channel_size', type=int, default=3,
                        choices=[3, 1],
-                       help='Using grayscale image can training OCR model faster and smaller')
+                       help="""Using grayscale image can training 
+                       OCR model faster and smaller""")
 
 
 def add_md_help_argument(parser):
diff --git a/onmt/translate/translator.py b/onmt/translate/translator.py
index 255539b24e..392b048401 100644
--- a/onmt/translate/translator.py
+++ b/onmt/translate/translator.py
@@ -46,7 +46,8 @@ def build_translator(opt, report_score=True, logger=None, out_file=None):
               for k in ["beam_size", "n_best", "max_length", "min_length",
                         "stepwise_penalty", "block_ngram_repeat",
                         "ignore_when_blocking", "dump_beam", "report_bleu",
-                        "data_type", "replace_unk", "gpu", "verbose", "fast", "image_channel_size"]}
+                        "data_type", "replace_unk", "gpu", "verbose", "fast",
+                        "image_channel_size"]}
 
     translator = Translator(model, fields, global_scorer=scorer,
                             out_file=out_file, report_score=report_score,
@@ -194,7 +195,7 @@ def translate(self,
                                        window_stride=self.window_stride,
                                        window=self.window,
                                        use_filter_pred=self.use_filter_pred,
-                                       image_channel_size=self.image_channel_size)
+                                image_channel_size=self.image_channel_size)
 
         if self.cuda:
             cur_device = "cuda"
diff --git a/preprocess.py b/preprocess.py
index a34fca16e4..e6cb889c0f 100755
--- a/preprocess.py
+++ b/preprocess.py
@@ -137,9 +137,11 @@ def build_save_in_shards_using_shards_size(src_corpus, tgt_corpus, fields,
     tgt_corpus = "".join(tgt_corpus.split(".")[:-1])
 
     for x in range(int(len(src_data) / opt.shard_size)):
-        open(src_corpus + ".{0}.txt".format(x), "w", encoding="utf-8").writelines(
+        open(src_corpus + ".{0}.txt".format(x), "w",
+             encoding="utf-8").writelines(
             src_data[x * opt.shard_size: (x + 1) * opt.shard_size])
-        open(tgt_corpus + ".{0}.txt".format(x), "w", encoding="utf-8").writelines(
+        open(tgt_corpus + ".{0}.txt".format(x), "w",
+             encoding="utf-8").writelines(
             tgt_data[x * opt.shard_size: (x + 1) * opt.shard_size])
 
     src_list = sorted(glob.glob(src_corpus + '.*.txt'))
@@ -148,7 +150,6 @@ def build_save_in_shards_using_shards_size(src_corpus, tgt_corpus, fields,
     ret_list = []
 
     for index, src in enumerate(src_list):
-        # logger.info("Working with {0}th shard {1} {2}".format(index, src, tgt_list[index]))
         dataset = inputters.build_dataset(
             fields, opt.data_type,
             src_path=src,
@@ -204,8 +205,11 @@ def build_save_dataset(corpus_type, fields, opt):
             corpus_type, opt)
 
     if (opt.shard_size > 0):
-        return build_save_in_shards_using_shards_size(src_corpus, tgt_corpus, fields,
-                                                      corpus_type, opt)
+        return build_save_in_shards_using_shards_size(src_corpus,
+                                                      tgt_corpus,
+                                                      fields,
+                                                      corpus_type,
+                                                      opt)
 
     # For data_type == 'img' or 'audio', currently we don't do
     # preprocess sharding. We only build a monolithic dataset.

From 91e83ca34b0bbdba3c5416556fe20c341869c3c7 Mon Sep 17 00:00:00 2001
From: Hoang Viet <vieritolove@gmail.com>
Date: Thu, 13 Sep 2018 19:21:48 +0700
Subject: [PATCH 15/26] fix flake8

---
 onmt/inputters/image_dataset.py |  8 +++++---
 onmt/opts.py                    | 12 ++++++------
 onmt/translate/translator.py    |  3 ++-
 3 files changed, 13 insertions(+), 10 deletions(-)

diff --git a/onmt/inputters/image_dataset.py b/onmt/inputters/image_dataset.py
index b4c5e9451e..34d9b978aa 100644
--- a/onmt/inputters/image_dataset.py
+++ b/onmt/inputters/image_dataset.py
@@ -98,9 +98,11 @@ def make_image_examples_nfeats_tpl(img_iter, img_path, img_dir,
         """
         if img_iter is None:
             if img_path is not None:
-                img_iter = ImageDataset.make_img_iterator_from_file(img_path,
-                                                                    img_dir,
-                                                        image_channel_size)
+                img_iter = \
+                    ImageDataset\
+                        .make_img_iterator_from_file(img_path,
+                                                     img_dir,
+                                                     image_channel_size)
             else:
                 raise ValueError("""One of 'img_iter' and 'img_path'
                                     must be not None""")
diff --git a/onmt/opts.py b/onmt/opts.py
index 4e02df584f..957c5e91c2 100644
--- a/onmt/opts.py
+++ b/onmt/opts.py
@@ -167,9 +167,9 @@ def preprocess_opts(parser):
                        before sharding.""")
 
     group.add_argument('-shard_size', type=int, default=0,
-                       help="""Divide src_corpus and tgt_corpus into 
-                       smaller multiple src_copus and tgt corpus files, then 
-                       build shards, each shard will have 
+                       help="""Divide src_corpus and tgt_corpus into
+                       smaller multiple src_copus and tgt corpus files, then
+                       build shards, each shard will have
                        opt.shard_size samples except last shard.
                        shard_size=0 means no segmentation
                        shard_size>0 means segment dataset into multiple shards,
@@ -238,7 +238,7 @@ def preprocess_opts(parser):
     # Option most relevant to image input
     group.add_argument('-image_channel_size', type=int, default=3,
                        choices=[3, 1],
-                       help="""Using grayscale image can training 
+                       help="""Using grayscale image can training
                        OCR model faster and smaller""")
 
 
@@ -428,7 +428,7 @@ def train_opts(parser):
     # Option most relevant to image input
     group.add_argument('-image_channel_size', type=int, default=3,
                        choices=[3, 1],
-                       help="""Using grayscale image can training 
+                       help="""Using grayscale image can training
                        OCR model faster and smaller""")
 
 
@@ -545,7 +545,7 @@ def translate_opts(parser):
     # Option most relevant to image input
     group.add_argument('-image_channel_size', type=int, default=3,
                        choices=[3, 1],
-                       help="""Using grayscale image can training 
+                       help="""Using grayscale image can training
                        OCR model faster and smaller""")
 
 
diff --git a/onmt/translate/translator.py b/onmt/translate/translator.py
index 392b048401..774c5cc5fc 100644
--- a/onmt/translate/translator.py
+++ b/onmt/translate/translator.py
@@ -195,7 +195,8 @@ def translate(self,
                                        window_stride=self.window_stride,
                                        window=self.window,
                                        use_filter_pred=self.use_filter_pred,
-                                image_channel_size=self.image_channel_size)
+                                       image_channel_size=
+                                       self.image_channel_size)
 
         if self.cuda:
             cur_device = "cuda"

From c009c3bf3a96f8ac1d27436a28317a5dd0b62743 Mon Sep 17 00:00:00 2001
From: Hoang Viet <vieritolove@gmail.com>
Date: Thu, 13 Sep 2018 23:39:48 +0700
Subject: [PATCH 16/26] fix flake8

---
 onmt/inputters/image_dataset.py |  2 +-
 onmt/translate/translator.py    | 28 ++++++++++++++--------------
 2 files changed, 15 insertions(+), 15 deletions(-)

diff --git a/onmt/inputters/image_dataset.py b/onmt/inputters/image_dataset.py
index 34d9b978aa..cb0975bc69 100644
--- a/onmt/inputters/image_dataset.py
+++ b/onmt/inputters/image_dataset.py
@@ -99,7 +99,7 @@ def make_image_examples_nfeats_tpl(img_iter, img_path, img_dir,
         if img_iter is None:
             if img_path is not None:
                 img_iter = \
-                    ImageDataset\
+                    ImageDataset \
                         .make_img_iterator_from_file(img_path,
                                                      img_dir,
                                                      image_channel_size)
diff --git a/onmt/translate/translator.py b/onmt/translate/translator.py
index 774c5cc5fc..72599d82c7 100644
--- a/onmt/translate/translator.py
+++ b/onmt/translate/translator.py
@@ -183,20 +183,20 @@ def translate(self,
 
         if batch_size is None:
             raise ValueError("batch_size must be set")
-        data = inputters.build_dataset(self.fields,
-                                       self.data_type,
-                                       src_path=src_path,
-                                       src_data_iter=src_data_iter,
-                                       tgt_path=tgt_path,
-                                       tgt_data_iter=tgt_data_iter,
-                                       src_dir=src_dir,
-                                       sample_rate=self.sample_rate,
-                                       window_size=self.window_size,
-                                       window_stride=self.window_stride,
-                                       window=self.window,
-                                       use_filter_pred=self.use_filter_pred,
-                                       image_channel_size=
-                                       self.image_channel_size)
+        data = inputters. \
+            build_dataset(self.fields,
+                          self.data_type,
+                          src_path=src_path,
+                          src_data_iter=src_data_iter,
+                          tgt_path=tgt_path,
+                          tgt_data_iter=tgt_data_iter,
+                          src_dir=src_dir,
+                          sample_rate=self.sample_rate,
+                          window_size=self.window_size,
+                          window_stride=self.window_stride,
+                          window=self.window,
+                          use_filter_pred=self.use_filter_pred,
+                          image_channel_size=self.image_channel_size)
 
         if self.cuda:
             cur_device = "cuda"

From 8f05d7d1cb8bb8c566e23000a8bf2a2c605f454e Mon Sep 17 00:00:00 2001
From: Hoang Viet <vieritolove@gmail.com>
Date: Fri, 14 Sep 2018 00:19:38 +0700
Subject: [PATCH 17/26] the last bug

---
 onmt/inputters/image_dataset.py | 9 ++++-----
 1 file changed, 4 insertions(+), 5 deletions(-)

diff --git a/onmt/inputters/image_dataset.py b/onmt/inputters/image_dataset.py
index cb0975bc69..1ad93a683c 100644
--- a/onmt/inputters/image_dataset.py
+++ b/onmt/inputters/image_dataset.py
@@ -98,11 +98,10 @@ def make_image_examples_nfeats_tpl(img_iter, img_path, img_dir,
         """
         if img_iter is None:
             if img_path is not None:
-                img_iter = \
-                    ImageDataset \
-                        .make_img_iterator_from_file(img_path,
-                                                     img_dir,
-                                                     image_channel_size)
+                img_iter = ImageDataset. \
+                    make_img_iterator_from_file(img_path,
+                                                img_dir,
+                                                image_channel_size)
             else:
                 raise ValueError("""One of 'img_iter' and 'img_path'
                                     must be not None""")

From e5216aafba94eaeac4e51002e03bcfa8062287eb Mon Sep 17 00:00:00 2001
From: Hoang Viet <vieritolove@gmail.com>
Date: Sat, 15 Sep 2018 00:35:10 +0700
Subject: [PATCH 18/26] Reback self.cur_dataset

---
 onmt/inputters/inputter.py | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/onmt/inputters/inputter.py b/onmt/inputters/inputter.py
index 4dd3148516..42c09ae892 100644
--- a/onmt/inputters/inputter.py
+++ b/onmt/inputters/inputter.py
@@ -464,22 +464,22 @@ def __len__(self):
     def _next_dataset_iterator(self, dataset_iter):
         try:
             # Drop the current dataset for decreasing memory
-            self.cur_dataset = None
+            self.cur_dataset.examples = None
             gc.collect()
             del self.cur_dataset
             gc.collect()
 
-            cur_dataset = next(dataset_iter)
+            self.cur_dataset = next(dataset_iter)
         except StopIteration:
             return None
 
         # We clear `fields` when saving, restore when loading.
-        cur_dataset.fields = self.fields
+        self.cur_dataset.fields = self.fields
 
         # Sort batch by decreasing lengths of sentence required by pytorch.
         # sort=False means "Use dataset's sortkey instead of iterator's".
         return OrderedIterator(
-            dataset=cur_dataset, batch_size=self.batch_size,
+            dataset=self.cur_dataset, batch_size=self.batch_size,
             batch_size_fn=self.batch_size_fn,
             device=self.device, train=self.is_train,
             sort=False, sort_within_batch=True,

From 5d3b9db3e469c2dbbf19ff4b53d64fa890ea7c08 Mon Sep 17 00:00:00 2001
From: Hoang Viet <vieritolove@gmail.com>
Date: Sat, 15 Sep 2018 00:38:06 +0700
Subject: [PATCH 19/26] fix cur_dataset.examples

---
 onmt/inputters/inputter.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/onmt/inputters/inputter.py b/onmt/inputters/inputter.py
index 42c09ae892..b34e3768ca 100644
--- a/onmt/inputters/inputter.py
+++ b/onmt/inputters/inputter.py
@@ -464,7 +464,7 @@ def __len__(self):
     def _next_dataset_iterator(self, dataset_iter):
         try:
             # Drop the current dataset for decreasing memory
-            self.cur_dataset.examples = None
+            self.cur_dataset = None
             gc.collect()
             del self.cur_dataset
             gc.collect()

From 556d39f6eaa46ebba43502d6f83765137b982c69 Mon Sep 17 00:00:00 2001
From: Hoang Viet <vieritolove@gmail.com>
Date: Sat, 15 Sep 2018 01:20:16 +0700
Subject: [PATCH 20/26] add try catch when delete

---
 onmt/inputters/inputter.py | 11 +++++++----
 1 file changed, 7 insertions(+), 4 deletions(-)

diff --git a/onmt/inputters/inputter.py b/onmt/inputters/inputter.py
index b34e3768ca..28a73e2a3f 100644
--- a/onmt/inputters/inputter.py
+++ b/onmt/inputters/inputter.py
@@ -464,10 +464,13 @@ def __len__(self):
     def _next_dataset_iterator(self, dataset_iter):
         try:
             # Drop the current dataset for decreasing memory
-            self.cur_dataset = None
-            gc.collect()
-            del self.cur_dataset
-            gc.collect()
+            try:
+                self.cur_dataset.examples = None
+                gc.collect()
+                del self.cur_dataset
+                gc.collect()
+            except:
+                pass
 
             self.cur_dataset = next(dataset_iter)
         except StopIteration:

From 012e0759d5a98fa7160eccd4019d34d3b83b4e40 Mon Sep 17 00:00:00 2001
From: Hoang Viet <vieritolove@gmail.com>
Date: Sat, 15 Sep 2018 02:09:48 +0700
Subject: [PATCH 21/26] change exception to hasattr

---
 onmt/inputters/inputter.py | 4 +---
 1 file changed, 1 insertion(+), 3 deletions(-)

diff --git a/onmt/inputters/inputter.py b/onmt/inputters/inputter.py
index 28a73e2a3f..4ad9a3072d 100644
--- a/onmt/inputters/inputter.py
+++ b/onmt/inputters/inputter.py
@@ -464,13 +464,11 @@ def __len__(self):
     def _next_dataset_iterator(self, dataset_iter):
         try:
             # Drop the current dataset for decreasing memory
-            try:
+            if hasattr(self, "cur_dataset"):
                 self.cur_dataset.examples = None
                 gc.collect()
                 del self.cur_dataset
                 gc.collect()
-            except:
-                pass
 
             self.cur_dataset = next(dataset_iter)
         except StopIteration:

From 4f185f817897c4d3df1dbd7d5bcc557f1401b61f Mon Sep 17 00:00:00 2001
From: Stig-Arne Gronroos <stig-arne.gronroos@aalto.fi>
Date: Mon, 17 Sep 2018 15:54:35 +0300
Subject: [PATCH 22/26] model_root prepended multiple times if model is
 reloaded

---
 onmt/translate/translation_server.py | 6 ++++--
 1 file changed, 4 insertions(+), 2 deletions(-)

diff --git a/onmt/translate/translation_server.py b/onmt/translate/translation_server.py
index 5cf4c21065..e132aa28cd 100644
--- a/onmt/translate/translation_server.py
+++ b/onmt/translate/translation_server.py
@@ -267,12 +267,14 @@ def load(self):
                     mode = self.tokenizer_opt["mode"]
                 else:
                     mode = None
+                # load can be called multiple times: modify copy
+                tokenizer_params = dict(self.tokenizer_opt["params"])
                 for key, value in self.tokenizer_opt["params"].items():
                     if key.endswith("path"):
-                        self.tokenizer_opt["params"][key] = os.path.join(
+                        tokenizer_params[key] = os.path.join(
                             self.model_root, value)
                 tokenizer = pyonmttok.Tokenizer(mode,
-                                                **self.tokenizer_opt["params"])
+                                                **tokenizer_params)
                 self.tokenizer = tokenizer
             else:
                 raise ValueError("Invalid value for tokenizer type")

From 4ffa5e0153e0035e56f20d0330bcd6e9ac321e63 Mon Sep 17 00:00:00 2001
From: Reid Pryzant <rapigan@gmail.com>
Date: Thu, 20 Sep 2018 20:42:51 +0900
Subject: [PATCH 23/26] Method signature fix

Update example in docs to match onmt.utils.optimizers.Optimizer parameters.
---
 docs/source/Library.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/source/Library.md b/docs/source/Library.md
index ef20156ccf..ca0169cefb 100644
--- a/docs/source/Library.md
+++ b/docs/source/Library.md
@@ -58,7 +58,7 @@ Now we set up the optimizer. This could be a core torch optim class, or our wrap
 
 
 ```python
-optim = onmt.utils.optimizers.Optimizer(method="sgd", lr=1, max_grad_norm=2)
+optim = onmt.utils.optimizers.Optimizer(method="sgd", learning_rate=1, max_grad_norm=2)
 optim.set_parameters(model.named_parameters())
 ```
 

From b07984d4f3d59c8517410dd072aed17f160e81e1 Mon Sep 17 00:00:00 2001
From: Hoang Viet <vieritolove@gmail.com>
Date: Mon, 24 Sep 2018 14:35:22 +0700
Subject: [PATCH 24/26] Fix image_channel_size + Updated docs

---
 docs/source/im2text.md            |  4 ++--
 docs/source/options/preprocess.md | 13 +++++++++++++
 docs/source/options/train.md      |  4 ++++
 docs/source/options/translate.md  |  4 ++++
 onmt/inputters/inputter.py        |  3 ++-
 onmt/opts.py                      |  6 +++---
 6 files changed, 28 insertions(+), 6 deletions(-)

diff --git a/docs/source/im2text.md b/docs/source/im2text.md
index 2e58ecb40e..772884fd54 100644
--- a/docs/source/im2text.md
+++ b/docs/source/im2text.md
@@ -37,14 +37,14 @@ wget -O data/im2text.tgz http://lstm.seas.harvard.edu/latex/im2text_small.tgz; t
 python preprocess.py -data_type img -src_dir data/im2text/images/ -train_src data/im2text/src-train.txt \
 					 -train_tgt data/im2text/tgt-train.txt -valid_src data/im2text/src-val.txt \
 					 -valid_tgt data/im2text/tgt-val.txt -save_data data/im2text/demo \
-					 -tgt_seq_length 150 -tgt_words_min_frequency 2
+					 -tgt_seq_length 150 -tgt_words_min_frequency 2 -shard_size 500 -image_channel_size 1
 ```
 
 2) Train the model.
 
 ```
 python train.py -model_type img -data data/im2text/demo -save_model demo-model -gpuid 0 -batch_size 20 \
-				-max_grad_norm 20 -learning_rate 0.1 -word_vec_size 80 -encoder_type brnn
+				-max_grad_norm 20 -learning_rate 0.1 -word_vec_size 80 -encoder_type brnn -image_channel_size 1
 ```
 
 3) Translate the images.
diff --git a/docs/source/options/preprocess.md b/docs/source/options/preprocess.md
index f96cd6df2d..6f6a62c1ad 100644
--- a/docs/source/options/preprocess.md
+++ b/docs/source/options/preprocess.md
@@ -31,6 +31,15 @@ For text corpus of large volume, it will be divided into shards of this size to
 preprocess. If 0, the data will be handled as a whole. The unit is in bytes.
 Optimal value should be multiples of 64 bytes.
 
+* **-shard_size []** 
+Divide src_corpus and tgt_corpus into
+smaller multiple src_copus and tgt corpus files, then
+build shards, each shard will have
+opt.shard_size samples except last shard.
+shard_size=0 means no segmentation
+shard_size>0 means segment dataset into multiple shards,
+each shard has shard_size samples.
+
 ### **Vocab**:
 * **-src_vocab []** 
 Path to an existing source vocabulary. Format: one word per line.
@@ -96,3 +105,7 @@ Window stride for spectrogram in seconds.
 
 * **-window [hamming]** 
 Window type for spectrogram generation.
+
+### **Image**:
+* **-image_channel_size [3]** 
+Using grayscale image can training model faster and smaller.
diff --git a/docs/source/options/train.md b/docs/source/options/train.md
index 88ab7edded..6c146d6c3c 100644
--- a/docs/source/options/train.md
+++ b/docs/source/options/train.md
@@ -257,3 +257,7 @@ Sample rate.
 
 * **-window_size [0.02]** 
 Window size for spectrogram in seconds.
+
+### **Image**:
+* **-image_channel_size [3]** 
+Using grayscale image can training model faster and smaller.
\ No newline at end of file
diff --git a/docs/source/options/translate.md b/docs/source/options/translate.md
index d763347c6b..00798b4ed5 100644
--- a/docs/source/options/translate.md
+++ b/docs/source/options/translate.md
@@ -111,3 +111,7 @@ Window stride for spectrogram in seconds
 
 * **-window [hamming]** 
 Window type for spectrogram generation
+
+### **Image**:
+* **-image_channel_size [3]** 
+Using grayscale image can training model faster and smaller.
\ No newline at end of file
diff --git a/onmt/inputters/inputter.py b/onmt/inputters/inputter.py
index 4ad9a3072d..65434a9ed9 100644
--- a/onmt/inputters/inputter.py
+++ b/onmt/inputters/inputter.py
@@ -232,7 +232,8 @@ def _make_examples_nfeats_tpl(data_type, src_data_iter, src_path, src_dir,
         _make_examples_nfeats_tpl(data_type, src_data_iter, src_path, src_dir,
                                   src_seq_length_trunc, sample_rate,
                                   window_size, window_stride,
-                                  window, normalize_audio)
+                                  window, normalize_audio,
+                                  image_channel_size=image_channel_size)
 
     # For all data types, the tgt side corpus is in form of text.
     tgt_examples_iter, num_tgt_feats = \
diff --git a/onmt/opts.py b/onmt/opts.py
index 957c5e91c2..c2d1a60888 100644
--- a/onmt/opts.py
+++ b/onmt/opts.py
@@ -239,7 +239,7 @@ def preprocess_opts(parser):
     group.add_argument('-image_channel_size', type=int, default=3,
                        choices=[3, 1],
                        help="""Using grayscale image can training
-                       OCR model faster and smaller""")
+                       model faster and smaller""")
 
 
 def train_opts(parser):
@@ -429,7 +429,7 @@ def train_opts(parser):
     group.add_argument('-image_channel_size', type=int, default=3,
                        choices=[3, 1],
                        help="""Using grayscale image can training
-                       OCR model faster and smaller""")
+                       model faster and smaller""")
 
 
 def translate_opts(parser):
@@ -546,7 +546,7 @@ def translate_opts(parser):
     group.add_argument('-image_channel_size', type=int, default=3,
                        choices=[3, 1],
                        help="""Using grayscale image can training
-                       OCR model faster and smaller""")
+                       model faster and smaller""")
 
 
 def add_md_help_argument(parser):

From 0e93f691b80b50f1c100f54f88e36945c4545f53 Mon Sep 17 00:00:00 2001
From: Paul Tardy <pltrdy@gmail.com>
Date: Tue, 25 Sep 2018 16:56:21 +0200
Subject: [PATCH 25/26] Fix logging in embeddings_to_torch

---
 tools/embeddings_to_torch.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/tools/embeddings_to_torch.py b/tools/embeddings_to_torch.py
index a92868a88b..9c2b6d16ef 100755
--- a/tools/embeddings_to_torch.py
+++ b/tools/embeddings_to_torch.py
@@ -127,8 +127,8 @@ def main():
                    match_percent[1]))
 
     logger.info("\nFiltered embeddings:")
-    logger.info("\t* enc: ", filtered_enc_embeddings.size())
-    logger.info("\t* dec: ", filtered_dec_embeddings.size())
+    logger.info("\t* enc: %s" % str(filtered_enc_embeddings.size()))
+    logger.info("\t* dec: %s" % str(filtered_dec_embeddings.size()))
 
     enc_output_file = opt.output_file + ".enc.pt"
     dec_output_file = opt.output_file + ".dec.pt"

From 5eece86c98c75de7e1c5cb07fce5c4aaa1f953aa Mon Sep 17 00:00:00 2001
From: moses <vince62s@yahoo.com>
Date: Thu, 27 Sep 2018 16:53:18 +0200
Subject: [PATCH 26/26] fix #971

---
 onmt/translate/translation.py |    2 +-
 src_embeddings.txt            | 1002 ---------------------------------
 tgt_embeddings.txt            | 1002 ---------------------------------
 3 files changed, 1 insertion(+), 2005 deletions(-)
 delete mode 100644 src_embeddings.txt
 delete mode 100644 tgt_embeddings.txt

diff --git a/onmt/translate/translation.py b/onmt/translate/translation.py
index cb8519b67c..7865b12e5e 100644
--- a/onmt/translate/translation.py
+++ b/onmt/translate/translation.py
@@ -45,7 +45,7 @@ def _build_target_tokens(self, src, src_vocab, src_raw, pred, attn):
             for i in range(len(tokens)):
                 if tokens[i] == vocab.itos[inputters.UNK]:
                     _, max_index = attn[i].max(0)
-                    tokens[i] = src_raw[max_index[0]]
+                    tokens[i] = src_raw[max_index.item()]
         return tokens
 
     def from_batch(self, translation_batch):
diff --git a/src_embeddings.txt b/src_embeddings.txt
deleted file mode 100644
index c01249b7d0..0000000000
--- a/src_embeddings.txt
+++ /dev/null
@@ -1,1002 +0,0 @@
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-sehr 0.095829 -0.002758 -0.033573 0.019614 -0.089966 0.054968 0.312390 0.085206 0.005653 -0.021871 0.048269 0.102695 0.124715 0.032108 0.058596 -0.222549 -0.006801 0.017391 -0.083491 -0.120321 0.082300 -0.101213 -0.040308 0.179153 -0.051843 0.172005 0.096300 0.104143 0.140154 0.121722 -0.112770 0.046880 0.074732 -0.216276 0.214945 0.104882 0.100684 -0.033824 0.126006 -0.221251 0.141967 0.194939 -0.110817 -0.172832 0.002775 0.211327 -0.029234 0.033501 0.021357 -0.000950 -0.003920 0.060455 0.076553 0.078022 0.194598 0.130442 -0.108507 0.155167 0.003009 -0.063883 -0.021185 0.019469 0.252960 0.008273 -0.005012 0.026017 -0.117806 0.054356 0.124625 0.023326 0.173782 0.034560 -0.164199 -0.056924 -0.029568 0.106783 -0.185615 -0.072331 -0.159438 0.047540 0.168885 -0.037128 0.028304 -0.045677 0.062413 -0.034667 0.095488 0.068004 -0.030953 0.133129 0.106226 -0.004721 0.057852 -0.112337 0.128099 0.096685 0.148668 -0.059726 -0.110226 -0.146896 -0.093875 -0.200365 0.174619 -0.076840 0.112441 -0.012296 0.132421 0.035788 0.043474 0.223596 0.142949 0.117859 -0.163637 0.120052 0.043567 0.144298 0.260380 0.141951 -0.032131 -0.144902 0.206863 0.017564 0.203243 0.228681 0.194595 0.043000 -0.177576 0.074061 -0.134806 0.098813 0.101240 -0.134181 0.047356 -0.139084 -0.084228 -0.161345 -0.206613 -0.075560 -0.069140 0.031811 -0.027937 0.016534 0.027018 0.113181 -0.091839 -0.117890 -0.149555 0.061296 -0.111766 0.001767 -0.136983 -0.003479 0.037480 -0.144403 0.162845 0.043071 -0.110346 -0.007855 -0.057924 0.033939 -0.061171 0.064488 0.043178 -0.001160 -0.069036 -0.150578 0.018397 0.192839 0.056183 -0.059455 -0.004157 -0.274440 0.106518 -0.097660 0.031696 -0.072232 0.003280 0.232312 0.004702 0.159534 0.095763 0.052552 -0.028774 0.011264 -0.066672 -0.063698 -0.032404 0.056758 0.114807 -0.224954 0.159960 0.015289 0.211797 -0.004197 0.201889 -0.220249 0.131249 -0.040545 -0.067066 -0.050812 0.102307 0.068442 0.112176 -0.136726 0.248103 -0.058899 -0.112976 0.034309 0.055958 -0.026170 -0.078349 0.324678 0.097758 -0.053458 -0.038357 0.071335 -0.100815 -0.010719 0.103400 0.029359 -0.010374 -0.112901 0.206785 -0.028514 -0.171004 0.193787 -0.023203 -0.035632 0.051220 -0.047029 0.013769 -0.073369 0.049876 0.062885 -0.049906 0.041759 -0.187815 -0.246646 0.013750 0.109728 -0.101798 0.137793 -0.056830 0.230822 0.282672 0.053494 0.190356 0.079878 0.074569 0.036521 -0.035136 0.107972 0.025639 -0.022733 -0.171166 0.061965
-wurde -0.236792 0.204077 0.079810 0.002261 0.006631 0.168880 -0.074146 -0.124696 0.361162 0.026684 -0.082286 0.076486 0.111340 -0.154965 -0.169615 0.212258 -0.160099 -0.020813 0.244738 0.094804 0.042080 -0.029240 -0.017412 0.115073 -0.181524 0.192597 -0.150107 -0.066904 0.240092 -0.043732 -0.085252 0.050327 0.045000 -0.021048 -0.002065 -0.065482 0.115781 -0.071784 -0.044150 -0.091343 0.019562 0.356323 -0.062699 -0.188884 0.199114 0.047749 -0.018385 0.117663 0.180704 -0.005566 0.153687 0.070935 0.056060 0.111640 0.137788 0.083214 0.159631 -0.213198 0.167226 -0.066628 0.075879 0.235952 0.248500 -0.024942 0.239462 0.180821 0.066757 -0.161530 -0.083411 0.152953 -0.060966 -0.098602 -0.151209 -0.047329 0.089445 -0.117624 -0.010543 -0.018176 -0.124423 0.085083 -0.069193 0.031047 0.053407 0.112671 0.223761 -0.122564 0.060472 0.200783 0.067922 0.162896 0.191261 0.038716 0.057393 0.161902 -0.010547 -0.082377 -0.078198 -0.185191 -0.193299 0.059606 0.129478 -0.106968 -0.012444 0.046476 0.251932 -0.118316 -0.003095 0.015121 -0.090207 -0.050801 0.053079 -0.130765 -0.157559 0.121677 0.169351 0.021908 -0.132520 -0.132152 -0.243690 -0.047695 0.120588 -0.154022 -0.025585 -0.224790 0.045293 -0.064309 -0.145660 0.157179 -0.146875 0.136334 -0.058651 0.048102 -0.217346 0.078752 -0.199007 -0.162459 0.055390 -0.075727 0.039593 -0.006098 -0.137788 0.126908 -0.077273 0.123012 0.017467 0.281178 0.109595 0.132809 0.114256 0.234696 -0.033337 0.051081 0.150483 0.192198 -0.030310 0.065925 -0.053196 -0.212014 -0.051702 0.113147 0.036891 -0.057637 -0.047065 -0.177175 -0.100655 0.127254 0.062189 0.007471 -0.157156 0.036424 0.038148 -0.091218 0.044731 -0.034890 0.217552 -0.036515 -0.060911 0.057828 -0.074759 0.072719 0.064190 -0.155306 -0.028118 -0.165046 0.007742 0.262580 -0.023716 -0.038020 0.164449 0.071495 -0.018845 -0.066123 0.270004 -0.018594 0.102249 -0.053908 0.011175 0.065190 -0.215207 -0.016687 0.110755 -0.094264 0.198927 0.112682 -0.059864 -0.009364 -0.093002 -0.063329 -0.093511 -0.165597 -0.037777 0.196634 0.076473 -0.039840 0.097020 -0.008808 0.051435 0.166807 0.071762 -0.192330 -0.295322 -0.118120 0.001520 0.100192 -0.123309 0.152190 0.123122 -0.012735 0.070083 -0.066399 -0.197301 -0.183299 -0.024183 0.224723 -0.038914 0.047403 0.073875 -0.066024 0.019471 -0.075712 -0.193121 -0.083798 0.030702 -0.008597 0.008855 0.140381 0.135856 -0.092619 0.057175 0.123516 -0.055605 0.273029 0.219278 0.026022 -0.130195 -0.215998
-Kommission -0.016280 0.161470 0.097823 0.014538 -0.128682 0.032173 -0.116802 -0.124514 -0.080925 0.092218 0.125623 0.130722 0.172073 0.021396 -0.129734 0.192239 0.085372 -0.169233 0.258031 -0.114575 -0.171590 0.127793 -0.145499 -0.030830 0.120617 -0.161295 0.125925 -0.080960 0.068794 0.022459 0.144137 -0.021876 -0.012614 -0.049840 -0.091645 0.139924 0.206866 0.075875 -0.026244 0.052547 0.097094 -0.084948 -0.062402 0.034170 -0.050766 -0.017396 0.056313 -0.015465 0.115064 -0.075211 -0.021602 0.076563 0.181862 0.205467 -0.092062 0.065465 0.125018 -0.077321 -0.043496 0.184733 -0.128460 0.115389 -0.037527 -0.112050 0.129884 0.000357 -0.240037 0.250056 -0.039052 -0.070889 0.138047 -0.206694 -0.106656 -0.104267 0.180822 0.093913 -0.035976 -0.084904 0.022843 -0.014904 -0.096039 -0.095871 -0.123800 -0.056536 0.051261 0.095300 -0.115376 0.027720 0.104611 -0.174635 0.053517 -0.038291 0.155173 0.009920 -0.034383 0.053250 0.141928 0.090764 -0.029453 -0.089755 -0.162891 0.115688 -0.170301 0.014456 0.001481 -0.005489 0.032823 0.147282 0.263822 -0.034288 -0.090080 0.039843 0.207079 -0.104448 -0.039681 0.273381 -0.066229 0.113242 -0.153266 -0.095857 0.003814 -0.034664 -0.032088 -0.165973 -0.018332 0.032739 -0.159243 -0.129709 -0.034367 -0.004426 -0.143203 0.005290 0.252168 -0.149165 0.193003 -0.036551 -0.142812 0.189636 0.122795 -0.032362 -0.135138 -0.002247 0.017355 0.076030 0.126563 -0.153448 0.074419 0.195371 0.026289 0.147897 0.135525 0.173876 0.078984 -0.097762 -0.085537 0.014180 -0.126729 0.202819 0.124451 0.112541 0.095104 -0.008008 0.145540 -0.234144 0.115124 -0.052360 -0.022184 0.017838 -0.075496 0.011613 -0.023542 -0.025199 -0.003884 -0.025845 -0.094857 0.047480 0.116611 0.019253 -0.008426 0.107416 -0.039719 0.078836 -0.061582 0.019982 -0.121570 0.039193 -0.128136 0.081774 0.094303 0.100944 -0.185360 -0.058225 -0.201825 0.051644 -0.004941 0.227353 0.085184 0.053454 0.044874 -0.148392 0.271742 0.181200 -0.053898 0.049753 -0.048886 -0.009647 -0.094226 0.181749 0.014454 -0.222514 0.003060 -0.030678 -0.030573 -0.084240 0.006523 0.045964 0.031099 0.204136 -0.046740 0.046632 -0.003058 -0.055161 0.067183 0.119299 -0.154894 0.056013 -0.041785 0.042953 0.006921 -0.132543 -0.159014 -0.066435 -0.100689 -0.107861 -0.026594 -0.106492 0.199141 -0.140261 -0.036982 0.032708 -0.073029 0.065061 0.041942 -0.189272 0.064875 -0.054406 -0.063346 0.026292 -0.065792 -0.075099 0.171550 -0.188988 0.092906 -0.031744 0.062501 -0.067516
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-Unterstützung 0.024737 0.026627 -0.084581 0.072794 0.066346 0.146531 -0.076686 0.036875 0.080675 0.188077 -0.039548 -0.028893 0.010443 -0.144796 0.193114 -0.075730 -0.012717 0.064459 0.016931 -0.119644 -0.060146 -0.142663 0.113609 -0.117143 0.224260 0.167418 -0.069582 -0.020760 -0.033230 -0.069863 0.033115 -0.155019 0.010471 -0.069979 0.142991 -0.105670 0.048326 -0.074165 -0.155131 -0.207575 -0.130562 -0.008519 0.073434 -0.031437 0.100221 -0.069284 0.112453 0.012526 0.041660 -0.200114 0.069867 -0.086824 -0.095832 0.080604 -0.117275 -0.085059 -0.104516 0.014271 0.001429 -0.024113 0.051826 -0.016184 0.066911 -0.119909 0.077660 -0.017934 -0.072795 0.029271 -0.093667 0.164227 0.037721 -0.038476 0.003250 0.046195 0.090565 -0.009558 0.079117 0.183032 0.001306 0.100214 -0.089810 0.001490 0.005035 -0.202538 -0.114739 0.009089 -0.097760 0.061564 0.251710 -0.185460 0.034184 -0.134982 -0.043443 -0.033324 0.193944 0.001366 -0.146834 -0.118400 0.022105 0.012905 -0.033035 -0.059725 0.057734 0.067997 -0.057061 -0.028389 -0.020170 -0.063541 0.156310 -0.178253 0.046182 -0.038503 0.111040 0.062749 -0.016886 0.131637 0.007334 0.047128 -0.064977 -0.130369 -0.043078 0.027108 -0.145022 -0.053977 0.007544 -0.021869 -0.045398 0.129779 0.086275 -0.083468 -0.138758 -0.217497 0.129940 0.004161 -0.048323 -0.129170 -0.026261 -0.145085 -0.043664 -0.007169 -0.205041 -0.022263 -0.040308 -0.116126 0.166258 0.208669 0.162494 0.074040 -0.070864 -0.025919 0.155308 0.041222 -0.048278 0.130529 -0.192822 -0.021495 -0.016483 -0.066287 -0.040866 0.077251 0.183709 -0.016591 0.034594 -0.295490 0.239344 0.094240 -0.014814 0.208935 -0.012322 0.060456 0.218382 -0.127704 0.038040 -0.079865 0.104071 0.094820 0.016764 0.099930 0.002196 0.087789 0.139477 0.081458 0.000402 0.032207 -0.063420 0.049411 -0.049701 -0.158655 -0.051498 -0.022234 0.092863 0.173248 0.025733 -0.191512 -0.092248 0.122541 0.039757 -0.082695 0.052252 -0.047517 0.008500 -0.132215 -0.090225 -0.101745 0.017357 -0.082955 -0.180447 0.028778 -0.037396 0.066541 -0.032888 0.071051 0.034223 0.029004 -0.170804 0.010844 0.012903 -0.009247 0.047785 -0.231884 -0.022733 0.107308 0.037088 -0.089745 -0.063044 -0.049341 -0.031674 0.045914 0.024646 -0.069784 -0.034618 0.026457 0.175014 0.104310 -0.022379 0.043036 0.099976 0.105999 -0.009511 -0.052317 0.038021 -0.057128 -0.004087 0.131160 0.235661 0.013667 -0.115642 0.001703 0.064630 0.023370 -0.009915 0.004359 0.028905 0.113986 -0.040786 -0.148788
-Zusammenarbeit 0.061114 -0.058820 0.049601 -0.026131 0.008091 -0.025470 -0.016907 0.071786 -0.089935 -0.057566 0.034676 0.011282 0.071018 0.054549 0.040993 0.090563 0.007927 0.123969 -0.062182 0.058407 0.059374 0.076019 -0.040283 0.089869 -0.049636 -0.102177 -0.129341 0.107302 -0.052669 0.055318 0.037300 -0.131896 0.054640 -0.058542 -0.128556 -0.060582 -0.013605 0.002612 0.142522 0.109851 -0.060908 0.078284 -0.018230 -0.034143 -0.181399 0.055705 0.041491 -0.126200 0.098585 0.094915 -0.080106 0.109043 0.044679 -0.106113 -0.017152 0.082722 0.077180 -0.021526 0.015648 0.105156 0.122054 -0.123204 -0.051628 0.020923 0.019818 0.043710 -0.000302 0.033947 -0.054509 -0.105950 -0.012210 0.142967 -0.072726 -0.042800 -0.021677 -0.128646 -0.066371 0.051142 -0.164334 -0.092410 -0.047497 -0.040873 0.118320 -0.030337 0.034189 -0.022926 -0.154547 -0.221926 -0.062532 0.028989 -0.071392 0.079881 0.089137 -0.059900 -0.054400 -0.133063 0.082757 0.004535 0.111771 0.006915 0.008206 0.176670 -0.028758 0.195035 0.017409 -0.128797 0.001102 -0.045241 0.020356 0.003258 0.070194 -0.085969 -0.082416 -0.134265 0.134395 -0.051285 -0.027943 -0.086619 0.064551 0.075421 0.027389 -0.024241 -0.008749 -0.026650 -0.052084 -0.038743 0.080689 0.059244 0.007859 -0.011233 0.044669 0.012069 -0.031296 -0.086126 -0.074619 0.046081 0.057299 0.027903 -0.081913 0.005106 -0.033410 0.000854 0.113671 -0.061492 -0.110525 0.045122 -0.117893 -0.056583 -0.060913 -0.025907 0.083149 -0.039126 0.057590 -0.053589 -0.142030 0.024936 0.173446 0.059757 0.030351 -0.059061 -0.094479 -0.141833 -0.052112 0.057789 -0.036721 -0.016454 -0.005639 -0.187247 -0.054221 -0.112303 -0.060610 -0.067699 -0.000278 0.006286 0.165616 -0.051999 -0.107240 -0.033269 -0.110288 -0.012327 -0.007442 -0.033468 0.020755 -0.008499 -0.005124 -0.096132 0.013720 -0.060818 0.031619 0.005567 0.121072 0.008749 0.058078 0.142843 -0.072024 -0.049157 0.105536 0.116208 0.024308 0.092267 -0.007615 0.042522 0.009223 0.001550 -0.003804 -0.105105 0.078487 0.060544 -0.036042 -0.140756 0.106719 0.044172 -0.020340 -0.054595 0.016625 -0.040866 -0.042884 -0.073357 -0.057258 0.156124 0.163200 -0.047123 -0.048007 -0.041255 -0.040901 0.029513 -0.003060 -0.011425 0.093786 -0.039010 -0.065936 0.166077 -0.055165 -0.143785 -0.042888 -0.150378 -0.129289 0.073711 -0.049995 -0.022851 0.140566 -0.046959 -0.040584 0.020122 -0.091275 -0.095000 -0.017367 -0.076171 -0.128623 -0.099378 0.015773 -0.061355 -0.097996 0.038376 0.169916 0.071111
-während -0.059002 0.028793 0.011554 0.222181 -0.046073 0.047924 -0.172821 -0.161240 -0.202054 0.154124 0.029442 0.062217 0.012553 0.085485 -0.260125 -0.107303 -0.181641 -0.080391 0.199927 0.044866 -0.139530 0.183275 -0.269550 0.222903 -0.124470 -0.128142 0.188176 -0.057826 0.124875 -0.123066 0.067232 0.008882 -0.006599 -0.030114 0.118393 0.103168 0.234680 -0.332859 0.011391 -0.225371 -0.043712 0.260968 -0.055142 -0.220745 0.015123 0.146342 0.280836 -0.070462 0.030317 0.028234 -0.098764 -0.109455 0.151418 -0.004154 0.041810 0.041190 -0.004319 0.104822 -0.148821 0.085357 0.064314 -0.150709 0.134614 0.150900 -0.046004 0.252042 -0.220345 0.196622 0.086651 0.170508 0.085956 0.059827 -0.111468 0.093817 0.166563 -0.087918 -0.222475 -0.003797 0.031181 0.148496 0.095774 -0.133787 -0.027481 -0.088610 -0.118464 0.090648 0.162575 -0.051280 0.013018 -0.031744 -0.040605 -0.124919 0.000929 -0.200827 0.138710 -0.035126 0.207518 -0.019922 -0.095871 0.066595 0.014305 0.142538 0.120201 -0.110006 -0.013713 -0.061931 0.127087 0.048916 0.114126 -0.009753 -0.083386 -0.161293 -0.051263 0.149923 -0.115261 0.045825 0.116401 0.173684 -0.132294 0.052840 0.054239 0.026013 0.143662 0.030778 0.288962 -0.087176 -0.090852 0.012380 -0.201600 0.011253 0.031577 -0.015983 0.171677 -0.252424 0.010100 -0.129178 -0.207752 0.016200 -0.219682 0.007868 -0.002460 0.194608 -0.017587 0.214792 -0.199046 -0.089768 -0.036474 0.082121 -0.190094 0.018297 -0.051002 0.069506 0.143560 -0.076164 -0.070736 -0.123612 -0.120085 0.059757 -0.099931 0.191377 0.059938 -0.067637 0.156842 0.078193 0.176135 0.160438 0.022006 0.198517 0.015799 -0.132296 0.091865 -0.213379 0.015213 -0.160828 0.043732 -0.067451 0.230088 0.149580 -0.154894 0.177308 0.034924 -0.006047 -0.148562 -0.083478 0.036121 -0.217752 -0.016377 -0.143174 0.188353 0.181385 0.024271 0.039656 0.077842 0.255940 0.079751 0.066396 0.209930 0.060378 -0.078081 -0.097831 0.197109 0.155269 0.048748 0.034482 0.145284 -0.225020 -0.001997 -0.016154 -0.039212 -0.224186 0.045568 0.063688 0.208270 -0.126354 -0.191157 -0.051546 -0.067008 0.188715 -0.048544 0.178959 -0.037409 0.065021 0.163063 0.054936 -0.048991 0.095993 0.068683 -0.141408 -0.318251 0.078167 -0.166970 -0.084953 -0.064911 -0.152385 -0.149247 -0.025051 0.012926 -0.016913 0.014827 0.093402 -0.243846 0.048945 0.093987 0.065026 -0.004536 0.159828 0.097670 -0.118833 -0.077400 -0.051521 -0.010092 0.195781 -0.061112 0.070593 -0.001532 -0.215123
-würde 0.065017 -0.021832 -0.071926 0.041208 -0.036091 -0.132046 0.086847 0.051758 -0.045658 -0.001014 -0.051411 0.020070 -0.146097 0.096817 -0.062610 -0.187021 0.025482 -0.123600 -0.320655 0.021613 -0.020196 -0.004393 -0.038794 0.028794 -0.041343 -0.177957 -0.037345 -0.022558 0.115623 0.040559 0.077230 0.017156 -0.020621 -0.126927 -0.015139 -0.061580 -0.010315 -0.001246 0.060651 0.024827 -0.021152 -0.049624 -0.081999 0.107854 -0.136495 -0.000862 -0.129247 -0.056770 -0.004118 0.057912 -0.052925 0.017261 0.031904 0.015774 -0.052450 0.067825 -0.134038 0.107059 -0.028772 0.017126 0.069544 -0.004667 -0.127705 -0.039143 -0.036483 0.088389 0.009242 0.038014 -0.070578 -0.073451 -0.116101 0.041011 0.194059 -0.021593 0.013136 0.064667 -0.131987 -0.011274 -0.174267 -0.138400 0.079241 -0.180245 0.005287 -0.031362 -0.187404 0.102388 0.017246 -0.165596 -0.002133 0.094101 0.068555 0.102370 0.040708 -0.097624 -0.067861 -0.070359 0.100276 0.111905 -0.100748 -0.065818 0.107703 0.126699 0.165536 -0.133210 0.090153 0.079338 0.074344 -0.069611 -0.081683 0.175413 0.031645 -0.056307 -0.142389 -0.020106 -0.024403 -0.010918 0.058971 -0.053883 -0.041548 -0.181771 0.064962 -0.078552 0.093783 0.109447 0.041767 -0.060472 -0.023014 0.021047 -0.055348 -0.121165 0.177911 0.036924 -0.188770 0.081487 0.115626 0.089320 -0.004007 -0.133949 -0.077782 0.028209 0.058621 0.019747 0.110217 -0.045456 -0.014160 -0.083908 -0.049963 -0.016362 -0.175424 -0.000363 -0.147100 -0.117798 0.000149 -0.080328 0.065463 -0.033310 0.002654 0.144401 -0.033435 -0.150282 -0.056723 -0.038365 0.007288 0.053726 -0.036282 0.076945 -0.033765 -0.063404 0.146298 -0.029173 -0.090474 0.053071 -0.029773 -0.050150 -0.193262 -0.122550 0.140441 0.011611 -0.125961 0.077111 -0.100457 0.015306 -0.078352 0.126472 0.130572 -0.128561 0.048358 0.109963 -0.073515 -0.045510 0.222008 0.047427 0.013456 -0.065967 -0.119096 0.044766 0.030677 -0.065454 0.013036 0.068597 -0.045896 0.048083 0.057167 -0.068818 0.135941 -0.056373 -0.004704 -0.066145 -0.077791 0.087581 0.010408 0.106290 0.024927 0.096398 0.093568 -0.032186 -0.111318 -0.002401 -0.083287 0.158541 0.221168 -0.051118 0.005461 -0.156474 -0.079039 -0.028737 0.024250 -0.058444 0.052894 0.065509 0.044826 0.073575 0.042718 0.106068 -0.008035 -0.074538 -0.094121 0.052486 0.116235 0.056898 -0.036275 0.080183 -0.079211 0.021671 -0.261005 -0.032736 0.137502 0.103584 0.026483 -0.022126 -0.045631 0.038687 -0.041378 -0.016771 -0.013880 -0.078901
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-wäre 0.040379 0.099354 -0.026777 0.130455 -0.012682 -0.041095 0.085335 0.056230 -0.076699 0.164930 -0.027178 0.023694 0.153012 0.075209 0.040404 -0.112791 0.022350 0.143542 -0.239474 0.012830 -0.026232 0.033653 0.055682 -0.150100 0.054042 -0.077127 0.089982 0.023472 -0.002252 -0.004066 0.056030 -0.034870 0.018717 -0.114402 -0.087288 -0.100523 -0.179642 0.230264 -0.070130 0.024828 0.004204 -0.001812 -0.115105 0.045858 -0.097456 -0.009595 0.090374 0.028778 0.044470 -0.068255 0.067632 -0.090656 0.011211 -0.101549 -0.028015 0.017942 -0.131938 -0.068375 -0.105367 -0.138309 0.025210 0.014026 0.055389 -0.040203 -0.087705 -0.190236 -0.004206 0.220217 -0.178391 0.091872 0.101852 0.094543 0.050850 0.061786 0.007913 0.008047 -0.005043 0.049908 -0.092756 0.052093 -0.004784 -0.059232 -0.115804 -0.102746 -0.026877 0.063418 -0.086167 0.006443 0.081072 -0.075586 0.026525 -0.049875 -0.043335 0.046766 -0.023944 0.095647 0.011919 -0.004038 0.001471 0.176553 0.019387 0.063793 0.032400 -0.145071 -0.011247 0.011865 0.046315 -0.005233 0.174271 0.049565 0.065157 0.044802 -0.037146 0.033659 0.044039 -0.120204 0.150287 -0.028540 0.074749 -0.065039 -0.108004 -0.007472 -0.012025 0.045046 0.071027 -0.078596 0.057813 0.086200 0.107000 -0.011290 -0.085682 -0.115518 0.046362 -0.047279 0.004688 -0.043673 0.093717 0.017428 -0.043668 0.054159 -0.125224 -0.081374 -0.093122 0.051864 0.134155 0.074526 -0.026727 -0.056437 0.112586 -0.030646 0.074589 -0.028460 -0.199244 0.020008 0.074435 0.017680 0.093414 0.131608 -0.095339 0.097265 0.059205 -0.043820 0.028193 -0.117887 -0.099357 0.058599 -0.023411 0.088035 0.048908 -0.055683 -0.006425 -0.073581 -0.087742 -0.024986 0.014292 0.075336 0.133513 0.029654 -0.073253 0.032473 0.125371 0.179201 0.034845 0.092074 0.041660 0.097843 0.043116 0.171486 0.071912 0.086479 -0.101557 0.043884 0.027928 -0.013648 -0.025479 0.049301 -0.088585 -0.023647 -0.005287 -0.133606 0.174066 -0.002169 0.016007 -0.042167 0.049275 -0.141849 -0.141205 -0.097315 -0.011766 0.112976 0.023757 0.113621 0.270277 0.117414 0.003942 0.027300 0.048009 -0.037737 -0.028321 0.112468 -0.042321 0.001868 0.160478 -0.048476 0.139292 -0.155463 -0.066416 -0.033773 0.025787 0.071226 -0.075212 -0.006048 0.009455 -0.059314 0.003058 0.067631 -0.109301 -0.017948 0.026805 -0.132271 0.158120 -0.080460 -0.008637 0.024587 0.038315 0.092986 0.008715 0.062216 0.100773 -0.088842 0.013107 -0.007615 0.004023 0.033018 0.035098 0.025406
-dafür 0.092870 0.015719 -0.080180 -0.036804 -0.010598 -0.046455 0.188120 0.199236 0.333655 -0.067649 -0.000376 -0.026260 0.077101 -0.014818 0.197156 0.031785 0.048912 -0.122827 -0.039384 0.005880 -0.018590 -0.222088 0.162852 0.139044 0.031856 0.249739 -0.179040 0.023770 -0.162029 0.107168 -0.164410 -0.158121 -0.101965 -0.006923 0.099767 -0.001742 -0.171343 -0.104137 0.047008 -0.059872 -0.041781 -0.036518 0.033907 -0.056010 0.081732 0.037303 0.015566 0.067803 -0.112388 -0.112755 0.235288 0.072144 -0.004411 -0.104822 0.216616 -0.128952 -0.137881 0.152681 0.100035 -0.049506 0.067355 0.085475 0.203134 -0.056510 -0.068157 -0.182861 0.079732 -0.075146 0.174141 0.123225 0.030264 0.029248 -0.052599 0.190936 -0.298617 -0.077118 -0.102425 -0.026750 0.125008 0.153281 0.036800 0.172894 0.116709 -0.107085 -0.073361 -0.090792 0.149871 0.012210 -0.150167 -0.028531 -0.059746 0.110689 -0.063285 0.054950 0.144299 0.041565 -0.096295 0.026289 -0.050740 0.050918 0.133152 -0.240946 -0.021333 -0.184024 0.120310 -0.143229 -0.072125 0.044602 -0.249886 -0.012627 -0.044934 -0.113838 0.021457 0.133823 -0.050894 -0.364289 0.043986 -0.218689 -0.149996 -0.038401 -0.110464 0.151870 -0.059328 -0.024854 -0.311364 0.056330 0.210394 -0.003497 -0.134386 0.169051 -0.070831 0.048690 -0.129568 0.134765 -0.113021 -0.097341 0.196857 -0.190580 0.065023 0.202594 0.203378 -0.098785 -0.064109 -0.017091 0.078869 0.143874 0.037867 0.161680 -0.095252 -0.068631 -0.109813 -0.217165 -0.163181 0.053007 -0.044967 0.264510 -0.205059 -0.115854 0.003143 -0.156009 -0.004512 -0.014443 -0.087881 -0.091546 -0.028613 0.050786 0.009859 -0.063850 -0.041783 -0.030383 0.081803 -0.116542 -0.093471 0.121075 0.229950 -0.031599 0.029273 0.026950 0.147898 -0.085202 -0.202271 -0.008695 -0.089142 -0.120295 0.121961 0.030232 0.105469 -0.093933 -0.075776 0.059520 0.048337 0.074089 0.131306 -0.096926 -0.030861 -0.094929 -0.129270 -0.055454 -0.324763 -0.098937 -0.070810 -0.061836 0.189141 0.031977 0.089915 0.015220 -0.050647 0.047809 -0.223338 -0.058991 0.008707 0.094957 -0.111892 0.115033 0.085735 -0.029108 0.174694 0.139069 0.074339 -0.158948 0.094385 -0.025300 0.171844 0.102984 -0.048926 0.040910 0.082056 -0.062307 0.141703 0.061463 -0.143849 -0.000190 0.173528 0.146956 -0.066235 0.162923 0.008226 0.014857 -0.025803 -0.146436 -0.072455 -0.077713 -0.190389 -0.031788 0.029310 0.129498 0.135197 -0.133881 0.088551 -0.082211 0.065894 0.270448 0.204043 0.192792 0.048849 0.009757
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-Kinder 0.131859 0.022112 0.023856 -0.059164 -0.066206 -0.046481 0.097807 0.202786 -0.152582 -0.023349 0.108095 -0.101251 0.154231 -0.102264 -0.177406 0.050926 0.172797 0.060887 0.139923 -0.161921 -0.106145 -0.060831 -0.063163 -0.099169 -0.187588 -0.136697 0.006426 -0.061653 0.128587 -0.036406 -0.084131 -0.020377 0.067029 -0.160965 -0.248535 0.118333 0.164251 0.124639 0.018516 -0.089170 0.112588 -0.141525 -0.090487 0.013285 -0.011724 0.128585 0.042649 0.008250 0.052865 0.146989 -0.044249 0.090595 0.064697 -0.129384 -0.027621 0.047656 0.053385 0.089979 -0.067387 0.077574 -0.246322 -0.099375 -0.132014 -0.121583 0.034608 -0.052742 0.043313 -0.009547 0.207176 0.107445 -0.065183 0.206237 -0.161750 0.123947 0.173770 -0.022790 0.069545 0.027282 -0.003150 -0.195370 -0.065789 -0.257051 -0.119202 0.153868 0.135111 0.081274 -0.280581 -0.169314 0.158810 -0.103622 0.018070 0.061126 0.064991 -0.111256 -0.070017 -0.016594 0.283770 -0.171204 0.097761 -0.019777 0.031193 -0.106127 -0.064480 0.085390 -0.041140 -0.026177 -0.010522 0.039944 -0.018158 -0.040795 0.206259 -0.189912 0.178351 -0.047155 0.031814 0.047125 0.015279 -0.118472 -0.050576 -0.020777 -0.063970 0.048277 0.022627 0.008928 0.025602 0.025205 0.051781 0.048974 -0.082221 -0.026092 0.042572 -0.018633 0.031337 -0.211354 -0.034881 -0.135877 -0.173710 -0.007389 -0.008260 -0.078414 -0.006238 -0.007460 0.031145 0.050888 0.030006 -0.121959 -0.163257 -0.044724 0.067917 0.003179 0.065595 -0.001763 -0.004419 -0.172434 -0.024337 0.080573 -0.031417 0.045478 -0.092552 -0.003437 -0.173949 0.030828 -0.063888 0.032294 -0.088117 -0.060115 0.024560 -0.039569 -0.068825 0.049424 -0.163434 -0.055915 0.072589 0.035634 -0.105362 0.100302 -0.129201 -0.068161 -0.119328 -0.013539 0.033726 0.039746 0.063765 0.087164 0.042999 -0.125967 0.029184 -0.068260 -0.060973 0.090389 0.128290 0.054708 -0.036688 0.155851 -0.078712 -0.053673 0.014761 -0.163554 0.084492 -0.231920 -0.083217 0.106951 -0.148204 0.145910 0.133095 0.012559 0.002506 0.130310 -0.127111 0.071539 0.020196 -0.220943 -0.102375 0.095861 -0.166762 0.025994 -0.000105 -0.010050 0.027759 -0.004903 0.056739 -0.056837 -0.010759 -0.151713 0.257990 0.059967 -0.004026 -0.154933 -0.078721 0.027712 0.038709 0.119189 -0.056681 -0.050145 0.104587 -0.062920 0.232173 0.129617 0.000871 -0.095622 -0.056574 0.023307 0.004446 0.086194 0.011873 0.030351 0.038855 -0.116582 -0.153951 0.029900 0.002542 -0.073391 -0.100889 0.014428 0.039013 -0.114794
-Meinung 0.092484 0.015830 0.031124 0.010753 0.156769 0.166847 0.029175 -0.025334 0.000563 -0.076204 0.112940 0.058107 0.056577 0.026525 0.050623 -0.036369 -0.019849 -0.017867 0.162744 -0.063329 -0.032843 -0.119177 0.028745 0.025953 0.002217 0.157598 0.023737 0.012795 0.023348 0.048048 -0.062205 0.047032 -0.077238 -0.012601 -0.116969 -0.091591 -0.056029 0.144625 0.038286 -0.076445 0.075365 0.073637 0.046458 -0.020439 0.001216 -0.024361 0.081002 0.047845 0.021496 0.167718 0.107663 -0.019624 0.131790 0.014913 -0.098555 0.143197 -0.131386 -0.059754 -0.046915 0.044452 -0.035527 -0.041956 -0.019927 0.052350 -0.020308 -0.065234 -0.070871 0.056626 0.067782 0.109648 -0.069489 0.097521 -0.070591 -0.110780 0.105148 0.002711 0.098482 -0.074379 -0.038550 0.031375 0.033429 -0.171927 0.140889 -0.003799 0.070480 -0.016286 0.023513 -0.082549 0.057617 -0.134415 0.029014 0.036715 -0.023125 0.135389 -0.096645 -0.101807 0.044239 0.160795 0.205717 -0.054786 -0.072825 0.106033 -0.041014 0.061338 -0.140435 -0.053425 0.056064 0.133873 0.039261 -0.026307 0.103185 0.155823 0.091688 -0.164517 0.117315 -0.016306 0.036297 -0.053355 -0.051168 -0.119598 -0.037377 -0.050888 -0.016925 0.151038 -0.119549 0.095958 -0.105570 -0.022814 0.012864 -0.059278 -0.087726 -0.139422 -0.040964 -0.197134 0.084931 -0.068990 -0.042686 -0.054794 -0.060947 -0.054412 -0.094161 -0.025264 0.004098 0.189834 0.081410 -0.017099 0.082585 -0.022258 0.076159 0.066519 0.173881 0.025147 0.072646 0.001593 -0.166293 0.085732 -0.058603 0.075860 0.084702 -0.026411 -0.014900 0.035414 -0.088589 -0.016829 -0.004152 0.165759 -0.075746 -0.016730 0.011529 0.072184 -0.048348 -0.013389 -0.007004 -0.086843 0.086387 0.038889 -0.079807 -0.160208 -0.035588 -0.052733 0.014172 -0.026578 0.070661 0.035141 0.084724 0.015783 0.119763 -0.060370 -0.039646 -0.122364 -0.177938 -0.050538 -0.116321 -0.063277 0.109996 0.169380 0.022960 0.090414 0.019885 -0.043795 0.006391 -0.018264 -0.018973 0.108337 -0.046391 0.002899 0.099586 -0.047300 0.072416 0.024589 -0.019015 -0.002778 0.025738 -0.054203 -0.054316 -0.000588 -0.025546 -0.051122 -0.064360 0.121596 0.049380 0.043191 -0.113712 0.006216 0.048727 0.024409 0.007347 0.027978 0.069892 0.035498 -0.093352 0.068443 -0.025832 -0.075555 0.082419 -0.037642 0.074052 0.078504 0.008445 0.052336 0.141483 -0.056605 0.025735 0.001208 -0.095480 -0.092710 -0.011400 -0.087925 -0.036282 0.071656 0.026023 -0.093846 -0.040717 0.012878 0.089758 0.100023
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-unserem 0.039546 -0.108314 -0.060902 0.165964 -0.070058 -0.071840 0.013510 0.096543 -0.018998 -0.002044 -0.106554 0.068014 -0.107324 -0.186865 -0.155799 -0.123893 -0.168569 0.101735 -0.202507 -0.162699 -0.056544 -0.126231 -0.007820 0.134572 0.175156 -0.003004 0.008087 0.202180 -0.066167 0.072542 -0.065946 -0.082463 -0.018280 0.109931 0.040950 0.113283 -0.162771 -0.066875 0.128907 -0.001978 0.276963 0.020508 -0.014886 -0.120562 0.152209 -0.047405 -0.100105 -0.005171 -0.137423 -0.149964 0.065042 -0.012746 -0.003320 -0.154570 0.023493 -0.153147 0.000457 0.062905 0.032489 -0.284264 -0.018581 -0.099080 -0.142221 0.214300 -0.037812 -0.079374 0.101281 -0.015551 -0.028459 0.038473 0.188040 -0.046668 -0.071580 0.049880 0.026916 0.017552 -0.044394 0.118387 -0.029793 0.107807 0.165907 -0.019831 -0.083088 -0.336718 0.111563 -0.007327 0.140473 0.079445 -0.188704 -0.069946 -0.006028 -0.120283 -0.105978 0.003443 0.171812 0.120563 -0.106837 -0.037360 -0.094241 0.042574 0.038632 0.049779 0.075225 0.099973 0.076439 0.029406 -0.019806 0.043322 -0.051270 0.037037 -0.048501 -0.243976 -0.204761 0.158607 -0.102159 0.018068 0.121097 -0.037785 -0.043376 -0.017210 0.013725 -0.165291 0.105402 -0.027681 0.028618 0.006957 0.049752 0.186678 -0.216942 -0.133811 0.000329 0.041233 -0.005378 0.205755 -0.034694 0.107681 -0.029879 -0.097539 -0.049882 0.151835 -0.141524 -0.022525 -0.083498 -0.091104 -0.034589 0.181089 0.115344 0.103723 -0.097871 -0.026885 -0.084920 -0.061436 -0.080208 -0.034243 -0.061999 0.047177 -0.169040 -0.024552 0.083256 -0.022596 -0.050154 -0.073215 -0.106053 -0.085955 0.092016 0.068219 0.143901 -0.115535 -0.158511 -0.199406 0.000980 0.022558 -0.120763 0.165881 -0.010375 0.004184 0.104188 0.127301 0.173033 0.064239 -0.162359 -0.059270 -0.123670 0.107422 0.118562 0.046440 -0.008619 0.170072 -0.022699 0.202712 0.118661 0.089049 0.074534 -0.196750 -0.042984 -0.096014 0.033081 -0.114316 -0.181031 -0.024925 -0.146871 -0.015941 0.080382 -0.025603 0.140328 -0.129968 0.226834 -0.025490 0.018472 0.026224 0.157135 -0.087461 0.033901 0.060999 -0.112585 -0.029363 0.185084 -0.026094 0.105824 0.080119 -0.163090 0.070879 0.083455 0.111421 -0.060319 0.197210 -0.170816 0.094112 0.067571 -0.017763 0.163395 -0.138304 0.078579 0.162410 -0.073615 0.110791 -0.160660 0.012064 -0.221868 -0.068638 -0.111016 -0.164715 -0.127836 0.070886 0.070023 0.000661 0.071313 -0.084378 0.174069 -0.036189 0.134387 0.100611 -0.056607 0.123149 -0.115502 -0.028830
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-Bürger 0.043442 0.031902 0.123514 0.104122 -0.127966 0.053759 0.040304 0.057937 -0.018089 -0.064410 0.082202 -0.054940 0.129212 0.037973 -0.058916 -0.055973 -0.134574 0.099395 -0.026137 -0.120776 -0.052409 -0.051910 -0.168409 0.134080 -0.097914 0.075802 -0.075235 -0.043753 0.031855 -0.037966 -0.140828 0.000414 -0.044399 0.016795 0.097557 0.192346 -0.015734 0.059889 -0.044629 0.076428 -0.146712 0.073917 -0.035674 0.022543 0.066684 -0.080353 0.044536 0.013617 0.136324 -0.086985 0.097296 -0.103734 0.088966 0.150430 0.000304 0.058815 0.107694 0.024042 -0.046434 -0.133862 0.023968 -0.061068 0.022593 0.079726 -0.018768 -0.083737 0.138113 0.062576 -0.039082 0.159143 0.041932 0.018264 -0.093223 -0.019871 -0.037017 -0.047540 0.022688 -0.099351 -0.008046 -0.155675 0.001589 0.104066 0.016072 0.010089 0.276923 -0.095244 -0.027003 0.072443 -0.056952 -0.051292 0.087655 -0.084059 -0.138627 -0.013273 0.106607 -0.009176 0.067385 0.025311 -0.030927 -0.083031 -0.097000 -0.068414 -0.012181 -0.076862 0.134234 0.073414 0.003177 0.025183 -0.175956 -0.069916 0.094579 0.104132 0.014711 0.092301 -0.118733 -0.017393 0.091371 -0.161908 -0.088610 -0.117006 -0.102690 0.058759 0.010040 -0.003544 0.177133 -0.175817 0.052530 0.077535 -0.089851 0.078115 -0.046204 -0.026362 0.109359 0.113770 -0.120670 -0.069461 -0.105484 0.091072 0.038171 -0.006029 -0.019958 -0.105242 0.053494 0.027506 0.103008 0.095307 -0.120188 0.065291 0.008086 -0.001491 0.037914 -0.030991 -0.001818 -0.086146 0.077902 -0.020682 -0.025896 -0.007230 0.065940 -0.061187 -0.081324 -0.065757 -0.199217 -0.098838 -0.115677 0.116224 -0.029423 -0.038425 -0.086918 -0.007522 0.015263 0.030710 0.057110 0.042772 0.083274 -0.040327 0.049638 0.038470 0.104975 -0.110949 -0.103376 -0.103485 -0.044570 -0.133116 -0.030328 0.043806 0.022767 0.124085 -0.086953 0.096493 -0.078040 -0.065088 0.030169 -0.049838 0.116064 -0.102237 -0.138861 -0.161108 -0.036350 -0.183909 -0.074245 0.091268 0.063785 0.046203 0.128916 -0.172822 0.040422 -0.055725 -0.068774 -0.034491 0.080832 -0.072975 -0.091218 0.025600 -0.043433 0.031962 0.093815 0.086617 -0.014397 -0.081230 -0.140482 -0.062697 -0.038633 -0.013664 -0.075312 0.007830 0.039762 -0.043210 0.154785 0.028814 -0.076071 -0.149189 0.052842 -0.034473 0.014270 0.059337 -0.013801 0.031999 -0.050660 0.010578 -0.086580 -0.087501 -0.065935 -0.137447 0.178851 0.137477 0.107111 0.043449 -0.106565 0.101273 -0.008554 -0.098496 0.003487 0.009827 -0.024513 -0.014880
-alles 0.052857 0.130357 -0.077729 0.193030 0.032561 0.086752 0.015238 -0.154327 -0.218274 0.241884 0.108932 0.105917 0.191287 0.042233 -0.002030 -0.271253 -0.068283 -0.108214 0.214196 -0.018877 -0.160311 -0.005442 -0.211524 0.153058 -0.102539 0.118675 0.076749 -0.044550 0.108075 -0.013872 -0.088872 0.043474 -0.027142 0.027779 0.013346 0.133560 0.032666 -0.169891 -0.108234 -0.123255 -0.189333 -0.106247 -0.160070 -0.055737 0.017769 0.083247 0.048439 0.079115 0.095862 -0.053541 0.064843 -0.241686 0.045813 0.040986 0.021978 -0.172264 -0.106026 -0.024055 0.016562 -0.153146 -0.063324 -0.186908 0.020741 0.092642 0.107771 0.063924 0.023471 -0.003215 -0.105065 0.008703 -0.011493 0.034270 -0.131895 -0.054091 0.046255 0.009548 -0.168594 0.122175 -0.060760 -0.024888 -0.065586 0.137068 -0.061938 -0.113062 -0.124990 -0.193492 0.045799 0.083839 0.077189 -0.120328 -0.073949 -0.042934 0.140943 0.075656 0.049706 0.012967 -0.038097 -0.057073 0.141245 -0.035597 0.040024 0.041829 -0.095576 0.029882 0.208257 -0.212073 0.194207 -0.120754 0.261024 -0.006325 -0.114671 -0.232624 0.135288 0.102049 0.019604 0.142780 0.059266 0.132761 -0.157651 -0.081840 -0.191578 0.005218 0.095016 -0.095071 0.101753 -0.085521 -0.165529 -0.013342 0.011522 -0.010612 0.133861 -0.170046 -0.135607 -0.074327 -0.096792 -0.007507 0.013170 -0.192024 -0.157291 0.039715 -0.078394 -0.048049 -0.136513 0.121051 0.175098 0.067575 0.108678 0.011552 0.001741 -0.078847 0.116987 -0.110293 0.182444 -0.025227 -0.022631 -0.005968 0.042776 0.139311 -0.088075 -0.002344 -0.032066 -0.064448 -0.053495 -0.016365 0.088147 0.144918 -0.144481 0.083355 0.007193 -0.127944 -0.027129 -0.039130 -0.034764 -0.000230 0.032860 0.140006 0.147093 0.058800 -0.220975 0.021199 0.008460 -0.083425 -0.174517 -0.162427 -0.001803 -0.061240 -0.117664 0.027737 -0.103033 0.033737 0.015134 0.002208 0.088578 0.289700 0.041835 -0.036621 0.159588 0.025171 -0.239720 -0.072402 0.097100 0.006681 0.128298 0.114780 -0.019278 -0.093333 -0.184365 -0.080863 -0.088652 0.076198 0.110646 0.195327 -0.011906 0.125382 -0.092794 -0.113819 0.020040 -0.036924 -0.016675 0.067459 -0.081144 -0.087439 0.050273 0.104926 -0.157329 0.205436 -0.050161 -0.208171 -0.090789 -0.103065 0.009314 -0.074424 0.129355 -0.112765 0.045787 0.121139 -0.092614 0.177450 -0.001307 -0.174409 -0.134231 -0.101548 -0.125624 0.150203 0.075371 0.166219 0.088618 0.020696 0.052132 0.161878 0.107184 0.068948 0.021378 0.005179 0.046819 -0.162978
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-daran 0.062994 0.137649 -0.065160 -0.087976 -0.081156 -0.035410 0.013194 -0.240853 -0.122480 0.042320 -0.044258 -0.016739 0.010377 0.120174 -0.052074 -0.180772 0.024458 -0.036796 0.016806 0.045869 -0.028957 -0.081804 -0.076494 -0.012318 -0.028746 0.066233 0.163943 -0.104537 0.208015 -0.058857 0.056670 0.111080 -0.069978 0.044403 0.047132 0.004923 0.132789 0.088226 -0.039277 -0.094489 -0.133911 0.057862 -0.082057 -0.035198 -0.185556 -0.044161 0.086032 0.057604 0.144454 -0.117803 0.057132 -0.021751 0.045291 -0.065216 0.197318 0.145292 -0.066934 0.009167 -0.151465 0.033271 -0.185551 -0.058940 -0.115945 -0.007894 0.066998 -0.010836 -0.067943 0.021193 -0.020375 0.119629 0.003046 -0.105128 -0.135372 0.083307 0.076683 0.133963 0.045764 -0.035099 -0.056098 -0.083990 0.041677 0.078914 -0.080451 0.031354 -0.069044 -0.026841 -0.075397 0.090840 0.018616 -0.075636 -0.074665 0.066195 -0.085361 -0.063444 0.173679 -0.156913 -0.065600 0.058536 -0.056901 -0.030608 0.014283 0.004764 -0.011276 -0.129737 -0.029750 -0.080408 0.036034 0.001550 0.072070 0.081955 0.047106 -0.030693 0.073747 -0.000836 -0.085578 0.067491 0.026191 -0.049302 0.083653 -0.267737 -0.122047 -0.121874 0.156104 -0.070648 0.114339 -0.140861 -0.131661 0.028759 -0.019958 0.122787 0.058273 0.048989 0.106865 -0.005172 -0.196296 0.089604 -0.134887 -0.133845 -0.041455 0.077649 -0.053701 -0.098733 0.111082 -0.059925 -0.094797 -0.014084 0.042823 0.128245 -0.047889 0.025200 -0.140450 -0.017830 0.021455 -0.071353 0.060615 -0.031893 0.033724 -0.111747 0.026830 -0.110050 0.056965 0.133706 -0.037291 -0.015372 -0.012626 -0.100495 0.042760 0.099853 0.020685 -0.169141 -0.051744 -0.012208 0.057897 0.102619 -0.022514 -0.040307 0.173340 -0.040834 -0.168463 -0.108276 0.011070 0.089299 0.026819 -0.004624 -0.116605 0.153561 -0.033856 0.057041 -0.148834 -0.005392 -0.011841 0.026907 0.234863 0.066606 0.083711 -0.049333 0.004319 -0.155146 0.043384 0.042310 0.031119 0.046775 0.165441 0.041282 0.126554 -0.026707 -0.095941 -0.106371 -0.091246 0.090143 0.015742 0.108562 0.014726 0.006120 -0.140897 -0.048898 0.027258 -0.039290 0.266815 0.046204 -0.122679 0.028818 0.004196 -0.145603 0.173671 0.011693 0.125848 -0.045742 -0.013294 -0.036144 0.055097 -0.044918 0.167140 0.098235 0.054393 -0.001286 0.035984 0.037040 0.089162 -0.023800 -0.013246 0.001345 -0.088300 -0.080908 0.022367 0.029773 0.117843 -0.061188 0.016120 0.015769 0.082454 0.011219 -0.016636 -0.071962 0.178891 -0.003473
-innerhalb -0.103415 -0.005349 -0.144414 -0.065460 0.068153 0.145995 -0.072551 -0.067168 0.089936 -0.078456 -0.013651 0.063672 -0.056867 -0.021143 -0.057223 -0.058623 -0.096298 -0.024125 0.148229 0.058340 0.186328 -0.176673 -0.048206 -0.132739 0.033300 0.057549 0.228538 -0.089782 0.072666 -0.114766 0.096539 -0.122070 -0.036707 0.047852 -0.073057 0.082935 0.166293 0.159387 -0.147457 -0.152505 -0.013773 0.128721 -0.033097 -0.045031 0.015503 0.043614 -0.220805 -0.046169 0.181579 0.070413 0.001161 0.052657 -0.037611 0.020779 -0.008813 -0.035717 -0.018911 -0.088117 0.019215 -0.082089 -0.039435 0.005002 0.017765 -0.083650 0.011239 0.046260 -0.014649 -0.076637 0.071716 -0.018695 -0.044562 0.027658 -0.002036 0.036168 -0.111049 0.029067 -0.104797 0.155052 -0.017072 -0.018783 0.086233 0.102906 0.073210 -0.015681 -0.011757 0.064252 -0.205161 0.078919 0.136791 -0.055325 0.126690 -0.079801 0.023054 0.015240 0.012463 0.083688 0.039471 -0.030127 0.084313 0.041404 0.070717 -0.122313 0.063896 0.047028 0.124809 0.106227 -0.007657 0.113233 0.040001 -0.061797 -0.124220 -0.086629 -0.149458 0.050094 0.094847 0.014300 0.178088 -0.049266 -0.030580 -0.149403 0.095877 0.031100 -0.016658 -0.037985 0.007994 -0.108883 -0.133186 -0.096049 -0.128887 -0.025364 -0.062799 -0.105151 -0.004578 -0.153376 -0.021878 -0.091467 0.072602 -0.058861 0.009114 -0.057076 -0.171492 0.134619 -0.047340 0.028391 0.062549 0.108557 0.061932 0.039878 -0.068677 0.115769 -0.034500 -0.173581 -0.103115 0.015450 -0.209802 -0.059199 0.042478 -0.069967 0.012513 -0.149941 0.072390 -0.070725 0.053697 -0.088581 0.059397 0.084744 -0.090860 0.090958 -0.037658 0.007477 0.066631 -0.047983 -0.053194 0.043222 0.006298 0.074458 -0.017268 0.171086 -0.262347 0.186824 0.048591 -0.013633 0.020437 -0.084256 -0.068829 -0.124022 0.068032 -0.043249 -0.159207 0.064449 0.002263 0.078728 -0.038868 0.050902 -0.105582 -0.024336 0.152435 -0.101971 0.088213 0.006064 0.093775 0.043912 0.129969 0.042647 0.002260 -0.100615 -0.116625 0.021672 0.018855 -0.011819 0.134357 -0.065037 -0.012994 0.009032 -0.005992 -0.131094 0.171835 0.062544 0.053315 -0.102884 -0.039690 -0.060540 -0.006161 0.065921 -0.086715 0.140646 -0.016470 -0.108505 -0.076656 -0.139334 -0.081425 -0.138497 0.078476 0.107157 -0.129958 -0.058942 0.040307 0.119735 0.049940 -0.069352 0.094573 -0.101130 -0.087893 0.006788 0.016733 -0.066136 0.004438 -0.123970 0.045161 -0.005696 0.062426 -0.010049 -0.028495 -0.106493 0.077778 0.034765
-könnte -0.118088 0.065734 0.025098 -0.143569 -0.078525 0.146634 -0.051351 -0.027693 -0.031357 -0.025236 -0.006892 0.008061 -0.041454 -0.012454 -0.104864 0.139134 -0.017649 -0.018283 -0.042808 0.071983 0.018700 0.149508 0.046792 -0.114178 -0.084376 -0.023526 -0.097435 0.003919 -0.016379 -0.032509 0.163041 -0.112017 0.091776 -0.042347 0.050909 -0.033348 -0.050160 -0.067132 -0.040898 -0.074936 -0.025641 0.009518 0.043227 0.085516 -0.012946 -0.014718 -0.008780 0.002655 0.124993 0.001719 -0.009658 0.021721 -0.045261 -0.108564 -0.054202 -0.144287 0.080993 0.002582 -0.022718 0.085620 0.015817 0.147487 -0.017247 0.089457 -0.031678 0.048377 -0.114743 -0.009204 -0.022135 0.038077 0.024215 -0.019813 0.157587 -0.037127 -0.130833 0.082748 0.104920 -0.008245 -0.009314 0.041413 -0.146929 -0.057125 0.247189 0.010861 -0.007244 0.043576 0.046016 -0.036738 -0.125669 0.051253 -0.081580 0.025748 0.038228 0.172884 -0.242903 -0.059850 0.005706 0.091936 0.111276 0.049404 -0.077482 0.039478 0.038007 -0.036801 -0.134680 0.152556 0.050867 0.004537 0.124395 -0.105834 0.000999 0.174642 -0.004072 -0.045683 0.011560 0.123453 -0.211309 -0.080814 0.043968 0.025836 0.109895 0.060235 0.022453 0.064671 0.028360 0.003889 -0.127171 0.039624 0.080594 -0.037788 -0.022912 0.094495 0.021115 0.141707 0.059743 -0.118814 -0.093014 0.032462 -0.124499 -0.103352 -0.008676 0.056346 0.002952 -0.075212 -0.008760 -0.127830 0.033154 0.006251 -0.083166 0.095796 0.039558 -0.001568 0.008398 0.091100 0.026774 -0.037595 0.136421 0.101727 0.159721 0.129098 0.021930 0.079016 0.073416 -0.025968 0.011940 0.099507 0.022015 -0.123023 0.110043 0.000598 0.139718 -0.039794 0.092698 -0.189341 -0.051561 -0.098111 0.091679 -0.010544 0.074895 0.122887 0.112334 -0.003439 0.083382 0.066360 0.054966 -0.056198 0.082971 0.100675 -0.076492 -0.027375 -0.090776 0.051942 -0.153170 -0.082807 -0.120872 0.057228 0.090951 -0.005522 0.053198 -0.010541 -0.074768 0.060525 0.018136 -0.117373 -0.106357 0.107848 -0.026861 0.034254 0.128735 -0.072102 -0.003278 0.128051 -0.077701 -0.114522 0.059735 0.048873 0.015106 -0.057193 -0.057717 -0.067930 0.097784 0.117601 0.062776 -0.049210 -0.173024 0.050734 0.049924 -0.037634 0.135653 0.062730 -0.008266 -0.073764 0.064466 -0.059479 -0.103106 0.080326 0.070658 0.070097 0.139652 0.035648 0.092773 -0.026719 0.068508 0.026998 0.081279 -0.076394 0.064157 -0.041364 -0.034836 -0.023053 -0.005783 -0.030789 -0.130746 -0.184562 -0.074517 0.018238
-verschiedenen 0.006871 -0.049183 0.017696 0.042498 0.047947 0.076220 -0.089788 -0.087844 0.107761 0.061196 -0.031007 -0.002319 -0.012960 -0.000141 0.031659 -0.086611 0.013254 0.129651 -0.000186 0.040087 -0.014638 0.016086 0.000960 -0.031924 -0.032979 0.015045 -0.036283 0.071131 -0.068449 0.144352 0.194596 -0.128539 0.076354 -0.077595 -0.037291 0.033647 -0.161836 -0.080646 0.081935 -0.107185 -0.019601 0.068802 -0.025565 0.055559 -0.136583 -0.044395 -0.062415 -0.106993 0.021660 0.077322 -0.081701 -0.028511 -0.053284 -0.109874 -0.053041 0.045705 0.049905 -0.060036 0.050810 -0.040407 0.065672 -0.073613 0.093002 -0.052960 -0.121083 -0.095568 0.103765 -0.018221 -0.119160 -0.089298 0.005228 0.066188 0.141551 -0.026957 -0.089979 0.024037 0.109880 0.130880 -0.153918 0.142034 -0.027423 -0.034562 0.025670 0.119004 0.034500 0.067518 0.143322 -0.049347 0.023850 0.088431 -0.077915 -0.014041 0.015233 0.020624 0.083292 0.089964 -0.038397 0.159039 0.019386 0.031691 -0.012940 0.141073 0.216879 0.034392 -0.103001 0.066433 0.123023 -0.077395 -0.051636 0.071562 -0.088069 0.083072 -0.045672 0.028197 -0.087805 -0.040499 -0.048651 -0.175655 0.070968 0.115126 0.005260 0.053310 0.000656 0.050694 0.131110 0.130782 -0.032301 -0.014870 -0.082293 -0.043615 -0.046511 -0.098137 -0.003041 -0.063773 -0.088404 -0.035561 -0.017298 0.049166 -0.003543 -0.004992 -0.057586 -0.011848 -0.091387 0.005524 -0.044214 -0.101124 -0.009636 -0.043905 -0.128224 -0.101749 0.016104 -0.070267 -0.080711 0.012844 -0.027505 -0.183021 0.007594 -0.033796 0.035632 -0.101667 -0.027772 -0.046925 0.095899 0.101961 -0.009162 -0.107906 -0.054542 0.055242 -0.016744 0.024073 0.057788 -0.054708 0.163507 -0.016478 -0.065020 0.001612 0.020042 -0.124403 0.073101 0.147364 -0.010215 -0.110373 0.106436 -0.026286 -0.016424 -0.033993 0.049773 -0.014384 0.114066 -0.002754 -0.058443 -0.009500 -0.027230 0.108565 -0.120488 0.118920 -0.114332 0.000426 -0.037742 0.037342 -0.114811 0.021256 0.130308 0.035829 -0.186281 -0.098081 -0.040229 -0.102155 0.009800 0.010674 0.091720 -0.008749 -0.038117 -0.088814 -0.083600 -0.173239 -0.046794 -0.080341 0.062401 0.051176 -0.011129 -0.032044 -0.011784 -0.100562 0.009172 -0.044185 0.059673 0.023704 -0.043906 -0.022647 -0.084916 0.035444 0.096147 -0.086334 -0.197658 0.006645 0.045583 0.101946 0.029887 0.056456 0.055236 0.070632 0.173105 0.026442 -0.075786 -0.195214 -0.004731 0.135553 0.034306 0.002710 -0.147876 -0.085544 0.061896 -0.077403 -0.110193 0.096785
-4 -0.058232 -0.000550 0.002980 0.097683 0.070618 -0.045289 -0.094028 0.000396 0.077152 0.023280 0.015535 0.012484 -0.033804 -0.067186 0.113811 -0.182813 -0.130493 0.036953 -0.154951 -0.103466 -0.014072 0.009061 -0.050767 0.068852 -0.185980 0.096504 0.082828 -0.043514 -0.085375 0.056140 0.037031 0.016693 0.131805 -0.047448 -0.058686 0.151973 -0.020760 0.024724 -0.037827 -0.064060 -0.022416 -0.061952 -0.047267 0.002008 0.006393 0.001234 -0.015150 -0.123649 0.069907 0.097481 0.004237 -0.045807 -0.012226 -0.063319 -0.051935 0.057604 -0.067434 0.023247 0.002346 -0.066855 0.106697 -0.029317 0.132074 -0.029126 -0.062079 -0.088192 0.186648 0.038135 -0.046059 -0.127117 0.005883 -0.090576 0.099912 0.112699 -0.091564 0.145565 0.051798 -0.128114 -0.090053 -0.096405 0.040190 -0.073362 -0.136372 0.101571 -0.011786 -0.011402 -0.151174 -0.029530 -0.003956 0.072432 -0.039393 -0.093273 0.019847 0.095414 -0.013410 -0.048142 0.022065 0.061208 -0.067561 -0.044867 0.022232 -0.028939 -0.057593 -0.082721 0.097164 -0.023440 0.109290 0.208033 -0.110652 -0.117832 -0.062081 0.005029 -0.119352 0.151512 -0.075225 -0.102856 0.125467 0.070471 0.003154 -0.124313 -0.102372 -0.018581 -0.074494 0.034987 -0.020594 0.037233 -0.024347 0.049591 0.100480 0.089257 0.182962 -0.125172 -0.153020 0.001781 -0.111130 0.082026 0.183296 0.012600 0.021392 0.006638 -0.039607 0.071284 0.067916 0.076692 0.173401 -0.067858 0.113237 0.052569 0.011468 -0.092211 -0.079042 0.142940 -0.046173 0.140225 0.032390 -0.035258 0.234043 -0.020895 -0.117016 -0.099151 -0.002403 0.005914 -0.156102 -0.032871 -0.086964 0.007464 0.041005 0.116329 0.046236 0.114677 0.006098 0.067107 -0.081927 0.130237 -0.086689 -0.037310 0.170107 0.027371 -0.055028 -0.021715 0.054072 -0.158846 -0.003685 -0.080255 0.106564 0.033844 0.010882 0.009703 -0.002659 -0.126899 0.006367 -0.121213 0.103299 -0.000347 0.033543 -0.014249 0.082859 -0.037991 0.015813 -0.002838 -0.052621 0.061965 0.022704 0.056070 -0.047324 0.019083 0.012306 -0.007888 -0.013460 0.085711 -0.034734 -0.217273 0.120091 -0.002256 -0.055804 -0.086429 -0.064147 -0.058602 0.137529 -0.076126 -0.006204 -0.028823 -0.089317 -0.088760 0.142752 0.050647 -0.014012 -0.042802 0.130697 -0.024667 0.106913 -0.034604 0.106546 -0.078373 0.089691 0.044961 -0.130758 0.084182 0.002192 -0.109013 -0.070618 -0.056899 0.094865 -0.214792 0.092492 -0.023791 0.076659 0.009491 -0.041193 0.053841 0.069003 -0.106494 0.149234 0.004043 -0.080071 0.033780
-Kommissar 0.151507 -0.040056 -0.142224 0.017140 -0.181613 -0.115252 0.231870 -0.042024 -0.052945 -0.075735 0.094536 -0.031831 -0.028854 0.232060 -0.154549 0.074699 -0.028751 -0.010720 0.031707 -0.037053 -0.008733 -0.120936 -0.025672 0.031608 0.093757 0.081899 0.162080 -0.034753 0.027975 0.042347 -0.075194 0.056876 0.012517 -0.088842 0.025605 0.106242 0.016262 -0.046827 0.108778 0.177012 0.046652 -0.054584 0.154633 0.133756 0.043211 -0.026021 -0.032379 0.150563 -0.098765 0.096815 -0.055257 -0.106812 -0.146610 0.011735 0.045171 0.097443 -0.027339 0.019794 0.005366 0.030932 -0.121592 -0.061482 0.062451 -0.073658 -0.051099 0.073526 0.011684 -0.132794 0.095433 -0.015387 -0.021639 0.112733 -0.185741 0.037594 -0.036864 -0.011443 -0.102262 -0.151086 0.035438 -0.083754 0.159665 0.012187 -0.041288 0.041729 -0.137892 -0.071017 -0.049529 0.013135 -0.011630 0.124390 0.093799 -0.012947 -0.036229 0.045351 -0.024751 -0.038322 0.036573 -0.089760 0.046442 0.007111 0.109330 0.068213 0.007749 -0.049383 0.007703 0.010525 -0.061834 -0.097620 -0.084104 0.129005 0.105857 -0.076129 -0.011265 -0.101100 -0.075713 0.068360 0.137734 -0.060523 0.020332 0.099263 0.055893 0.190280 -0.077304 0.089651 0.027162 0.016054 -0.020552 0.008661 0.019694 -0.035502 -0.044791 -0.066101 0.094341 0.067218 0.022548 -0.046495 -0.032829 -0.098692 -0.047199 -0.009769 -0.006065 -0.035892 0.048489 0.028361 -0.073608 -0.020150 -0.105651 0.122760 0.078460 -0.142734 0.008911 -0.010002 0.097635 0.053803 0.161478 0.035246 -0.047168 -0.033182 -0.010230 -0.106378 -0.066853 0.092688 -0.162697 -0.013399 -0.103429 -0.058543 -0.102416 -0.257400 0.139287 0.117597 -0.024883 -0.039805 -0.127565 0.100201 -0.079186 0.082963 -0.047354 0.084117 0.021230 -0.121498 -0.123014 -0.006879 -0.010190 -0.010344 0.121710 -0.027692 0.151762 0.094071 0.024799 0.017607 -0.101706 -0.072548 -0.075324 -0.044322 -0.176045 -0.015984 0.055569 -0.103669 -0.076622 -0.086451 -0.096380 -0.083758 -0.020485 0.010069 0.104447 -0.028543 0.144638 0.086581 -0.040106 -0.016938 -0.057817 0.061746 0.065688 -0.078557 -0.042759 0.082207 -0.085777 0.132764 -0.044764 -0.052823 0.061624 -0.045524 -0.120960 -0.028833 -0.073378 0.087734 0.057642 -0.032585 0.026839 0.089762 0.001672 -0.086988 0.109032 0.011748 -0.051779 -0.049333 -0.012913 -0.069002 -0.044368 -0.060852 -0.129467 0.021007 -0.073678 0.007382 0.023919 0.059006 0.081478 -0.075791 0.011727 -0.085294 -0.034531 0.029778 -0.162781 -0.102241 -0.144569 -0.040968
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-5 0.140852 -0.072034 -0.005164 -0.066889 -0.019196 -0.135394 0.166454 0.061436 -0.093034 -0.087996 0.119289 -0.031849 0.094947 0.119134 -0.054351 -0.217716 0.026651 -0.085366 0.056970 -0.063286 -0.103220 0.127267 -0.125339 0.226546 0.039673 -0.053927 -0.064959 -0.110689 -0.027164 0.151577 -0.106714 0.021979 -0.040550 0.055352 -0.084942 -0.015550 -0.077657 -0.020858 -0.115109 0.047773 0.043479 -0.144287 -0.077654 -0.079618 -0.069776 0.032621 -0.016857 -0.004508 0.005671 0.114109 0.081253 -0.065145 -0.145218 0.109947 0.042395 0.129469 0.183774 -0.117609 -0.002821 -0.176803 -0.056983 -0.074463 0.043987 -0.111125 -0.014337 0.142731 -0.018135 -0.057879 0.056343 -0.042063 -0.044184 -0.046848 -0.042869 -0.008256 0.072875 0.069273 -0.038526 -0.124996 0.164601 -0.093248 -0.118528 0.001181 -0.095733 0.071778 -0.123781 -0.127281 -0.020222 -0.094332 0.094476 -0.002722 -0.088557 -0.142258 0.230730 -0.089593 -0.125033 -0.037505 0.015691 0.016585 0.040845 -0.150601 -0.167198 -0.127878 -0.007373 -0.152289 0.064415 -0.060501 0.058019 -0.100444 -0.126185 0.012939 0.086573 -0.002257 0.093665 -0.042589 -0.063852 0.049752 -0.041591 -0.056757 -0.170667 0.016041 -0.106586 0.016707 0.003265 0.009843 -0.020892 -0.047575 0.179740 0.074572 0.167844 0.151088 0.025631 -0.046609 -0.100866 0.014846 0.109307 -0.027643 0.000351 -0.128464 -0.054890 0.084862 0.185029 -0.034375 -0.063177 0.055840 -0.040606 -0.049098 -0.113117 0.117603 0.040536 -0.018172 -0.101489 0.084729 0.090575 -0.113595 0.056182 0.015651 -0.129123 -0.032008 -0.163025 -0.127532 -0.010573 -0.053815 0.046941 0.030534 -0.016609 0.007753 0.014357 0.003544 -0.131554 0.049073 0.037880 -0.129588 0.060239 -0.139637 -0.055874 -0.127598 0.083019 -0.038047 0.043757 0.010339 -0.091405 -0.049868 -0.002202 -0.050782 -0.026232 -0.066456 0.015080 -0.077827 -0.217405 0.051197 0.077278 0.028803 0.057106 0.021771 -0.191620 -0.067403 0.033029 -0.049857 -0.141122 -0.019695 -0.062128 -0.117586 -0.100526 0.094704 0.074083 0.056020 0.034394 0.108247 -0.104282 -0.015916 -0.052096 -0.114970 -0.094865 0.037014 0.031511 -0.076447 0.017583 -0.056115 -0.115341 0.013633 0.145976 -0.138158 -0.100119 -0.038849 0.004798 0.021531 0.125808 0.034801 0.051223 -0.002647 0.115821 0.006549 -0.055760 -0.239586 0.155146 -0.000933 0.040580 0.118195 0.138049 0.013960 -0.064946 -0.014216 -0.007224 0.069268 -0.038122 0.055475 0.045185 -0.005427 -0.079995 0.037280 -0.051425 0.010186 -0.100137 -0.012750 -0.012300 -0.108077
-Ort 0.068712 0.136311 -0.120881 -0.094722 -0.036102 -0.089721 -0.174220 -0.244867 -0.110376 0.030136 0.024725 -0.028222 0.114029 0.003541 -0.024809 -0.007506 0.109459 -0.014717 0.130733 -0.153772 -0.012703 0.025431 -0.262595 0.059870 -0.005258 -0.023348 0.232104 -0.053549 0.225727 -0.172526 0.120814 -0.127389 -0.210176 -0.010810 -0.061332 0.044636 0.144770 -0.067537 -0.002718 -0.053802 0.052753 -0.051719 -0.001999 0.082516 0.045657 -0.033260 0.238320 -0.044210 0.151950 -0.008831 0.073952 -0.136712 0.066225 -0.125909 -0.099357 -0.092826 -0.024724 0.028295 -0.233680 0.100246 0.007614 -0.162055 -0.125599 -0.014400 0.031460 0.099931 -0.116871 0.264058 0.104843 -0.114752 -0.000171 0.128760 -0.116074 0.019068 0.008858 -0.209453 0.059989 -0.036262 0.078650 -0.236525 0.000883 -0.095551 -0.002137 -0.006846 -0.134979 0.118965 -0.104405 -0.107932 0.072602 -0.019603 0.041801 0.021356 0.009349 -0.217953 0.094092 -0.044403 0.063695 -0.184107 -0.070149 -0.092511 0.029044 -0.061676 -0.027090 0.138584 -0.162878 -0.025796 -0.059951 0.033193 0.037240 -0.027336 -0.002282 -0.247018 -0.071227 0.100419 -0.129692 -0.039654 -0.110406 0.143040 -0.037223 -0.072064 -0.144110 -0.063761 0.026109 -0.128446 -0.040626 -0.201797 -0.255429 -0.092150 -0.103336 -0.075396 0.187364 -0.114955 0.057814 -0.122158 -0.136823 -0.022521 -0.137624 0.013930 0.056604 -0.162448 -0.235312 -0.036430 -0.113507 -0.102514 -0.201432 -0.024296 -0.153516 -0.018797 0.122765 -0.010999 0.127356 0.125876 0.101231 -0.026785 -0.052794 0.131110 -0.175022 0.134920 0.003598 0.152768 -0.066704 -0.028680 0.042643 0.062448 0.039970 0.081763 -0.007273 -0.107901 -0.133522 -0.172285 -0.152009 -0.057335 -0.025753 -0.042501 0.156479 -0.162250 0.088627 0.035471 -0.112119 0.067614 0.163501 0.073588 -0.238081 0.001142 0.105120 -0.110211 0.117235 0.018952 0.049311 0.166600 -0.008985 0.027214 -0.001647 0.200426 0.215073 -0.218917 0.021642 -0.075091 0.087966 -0.044852 -0.064204 0.133288 0.146547 0.101292 0.066052 -0.103387 -0.100893 -0.019711 -0.102104 -0.064900 0.016149 0.235833 0.055334 0.073970 0.096496 0.039584 0.147795 -0.078361 -0.072797 0.209171 0.013029 0.086759 0.009467 -0.098583 0.108132 0.111982 -0.029735 -0.076840 0.138127 -0.208427 -0.152653 0.133445 -0.010800 0.072490 0.030011 -0.168074 0.181748 0.066434 -0.043595 0.005687 0.021538 -0.041174 -0.050457 -0.050236 -0.070162 0.023005 0.111802 -0.132648 -0.022473 0.033500 -0.073274 -0.004814 0.048262 0.045851 0.205537 0.017162
-Produkte -0.064678 -0.005229 -0.160907 -0.030053 0.019244 0.053288 0.031764 -0.107736 0.031386 -0.038752 0.004067 0.147321 0.056290 0.045433 0.034993 -0.014017 0.094542 -0.011072 0.052386 0.084540 -0.025785 -0.064723 -0.064023 -0.006158 -0.000602 0.079697 0.051783 -0.109235 -0.160928 -0.130592 0.026662 -0.081148 -0.051978 0.118359 -0.022445 0.108007 0.050105 0.103525 0.015078 0.002546 -0.032487 0.056850 0.178880 -0.041878 0.004408 0.027419 -0.098491 0.011996 0.073755 0.101508 -0.019214 -0.069457 0.019058 0.032616 0.014473 -0.056284 0.130174 -0.050686 0.045765 0.066316 0.059160 0.036706 -0.036559 -0.064593 0.152139 0.162803 -0.026736 -0.043874 -0.043712 0.011176 -0.197905 0.012126 0.034017 -0.080175 0.012681 -0.041506 0.126049 0.071549 0.122159 -0.054807 -0.155363 -0.044178 -0.160601 -0.007538 0.134532 0.092225 -0.131324 -0.152852 0.012401 0.130385 -0.226501 0.034573 0.098029 -0.074398 -0.061363 -0.103808 0.170147 -0.003401 -0.080000 -0.118565 -0.182362 -0.061439 -0.060395 0.106887 -0.115594 -0.010015 0.179917 0.017726 0.061378 -0.021860 -0.016581 0.026291 0.024093 -0.093224 -0.049194 0.137755 -0.104333 0.125520 -0.151301 0.118884 -0.004164 -0.069794 0.091389 0.035137 0.141557 0.040379 0.068797 -0.059329 0.042568 -0.051886 -0.122923 0.028036 0.008653 0.011005 -0.037360 -0.009813 -0.066050 0.164954 -0.071228 -0.025868 0.065552 0.007326 0.011790 0.049611 0.037317 0.008763 -0.185786 -0.123707 0.009488 0.145935 -0.006718 -0.132921 0.075066 0.005568 0.038796 -0.083648 0.060315 0.018247 0.021345 0.078481 0.073830 0.087988 0.153564 -0.019701 -0.028998 -0.123413 0.058594 -0.131812 -0.043585 0.113347 0.021751 -0.133828 0.055448 -0.048057 0.036804 -0.034788 -0.124212 -0.056447 -0.052664 0.023246 -0.139961 -0.020679 0.033681 0.123020 0.051045 -0.096128 0.098445 -0.148035 0.135156 0.022979 -0.010463 -0.040505 0.014697 0.112583 -0.132833 0.029885 0.033587 0.075387 0.104112 0.178893 -0.033666 0.093114 -0.021170 -0.005924 -0.042397 -0.047758 0.013260 0.051335 0.122434 0.051794 -0.022808 -0.058212 -0.009291 0.049409 0.000809 -0.180841 0.027991 0.115293 0.031543 -0.063682 0.004506 -0.014671 -0.043469 -0.091561 -0.101656 -0.083711 -0.004522 0.031571 -0.065446 -0.014169 0.050192 0.222693 -0.112500 -0.087971 -0.047549 0.034638 0.068646 0.075473 -0.033248 -0.027010 -0.075923 0.058246 0.099915 0.087974 -0.021545 -0.116144 -0.190707 0.091221 -0.085863 0.028429 0.118566 -0.059379 -0.007595 0.020373 0.017109 -0.014486
-gegenüber 0.105107 0.008239 -0.068015 0.148019 0.034122 -0.029798 0.084506 -0.031974 -0.107160 -0.084888 0.174444 -0.001887 0.057750 -0.101607 -0.080808 -0.001594 -0.023480 0.086678 0.102183 -0.072899 0.041370 0.018617 -0.059604 0.011780 0.135418 0.047759 0.036712 0.003007 0.190461 -0.119297 -0.061043 -0.022095 -0.004843 0.047178 -0.009333 -0.012197 0.072407 -0.050715 -0.087951 -0.040955 0.001932 0.021224 -0.082282 0.059745 0.046045 0.137888 0.172498 -0.015963 -0.009259 -0.032838 0.158969 0.008621 0.101750 0.076738 0.094249 -0.056899 -0.142427 0.040374 0.051922 0.046203 -0.056217 -0.126152 0.096253 0.066268 -0.005956 0.120278 -0.063644 0.155592 -0.138588 0.081125 0.157389 -0.007591 -0.016631 -0.196633 -0.058488 -0.150368 -0.127015 0.072456 0.055833 0.131345 0.204793 -0.129660 0.060932 -0.174342 0.107483 0.025999 0.183424 0.041550 0.158009 -0.025750 0.123883 0.256877 0.047430 0.097163 0.001978 -0.082160 -0.037429 0.043309 -0.085536 0.078814 0.009385 0.053974 0.127622 0.172973 -0.116663 -0.070232 0.039328 0.132779 0.156673 0.121322 -0.137181 -0.134659 -0.048983 -0.032052 0.023593 -0.118394 0.123736 0.046198 -0.143186 0.054088 -0.115093 -0.138680 0.024730 0.027630 0.020373 -0.014080 -0.068308 0.046864 -0.120256 -0.178410 -0.202932 -0.078755 -0.187634 -0.192384 -0.007350 -0.116610 -0.061357 -0.171775 -0.008911 0.072009 -0.172213 0.030895 0.021664 -0.215369 -0.212563 0.023139 0.009162 -0.210642 -0.033048 0.145318 0.066267 -0.107195 -0.018988 -0.222664 -0.135787 0.020410 -0.089455 0.126948 -0.060647 -0.118315 0.117310 0.037774 0.149840 0.034620 -0.101855 0.032579 -0.155290 -0.005914 0.231660 -0.057236 -0.034799 -0.139852 0.170051 -0.064766 0.186539 -0.041103 -0.017377 0.034429 -0.064956 0.114727 0.013382 -0.046492 -0.221234 0.031630 0.039199 -0.025510 -0.123889 -0.144017 0.268343 0.065693 0.135052 0.124008 -0.017429 0.050160 0.016944 -0.001722 -0.025306 0.099943 0.124623 -0.044143 0.083213 0.107680 0.106399 0.009227 0.157562 -0.087670 0.009491 -0.123895 0.146163 -0.055729 -0.015698 0.188885 0.046343 -0.003892 0.011484 -0.112548 -0.015615 -0.057884 -0.199181 0.069831 0.085400 -0.058655 -0.068030 -0.085344 -0.012278 0.197466 -0.045897 -0.003354 -0.041479 -0.036435 -0.280616 0.039288 -0.056912 0.059698 -0.084391 0.084227 0.008915 -0.157701 0.011232 -0.098794 -0.001880 -0.025706 -0.137698 0.040157 0.001299 0.143953 0.157914 0.009347 0.057556 0.072594 -0.007363 0.195176 0.037426 0.102763 -0.003079 0.280964
-hatte 0.008231 0.162230 -0.059557 0.041755 -0.009746 0.052837 0.040182 0.048948 -0.060032 -0.043427 0.025712 -0.203336 0.033247 0.143760 -0.036059 -0.114164 0.084716 -0.033760 -0.021511 0.067878 -0.126259 0.109552 -0.033698 -0.156180 0.162298 -0.152517 -0.084560 -0.192148 -0.110878 0.012621 -0.034354 0.013722 0.017681 -0.196930 -0.270100 -0.083499 -0.170654 0.041841 -0.032883 0.012356 0.060527 -0.137557 0.030581 -0.005166 0.002219 0.060615 0.044870 -0.041422 0.085448 -0.077629 -0.075947 0.094334 -0.107539 0.018555 -0.259041 -0.047575 0.142466 -0.135268 -0.169005 -0.237404 0.075267 0.006488 -0.155642 0.021724 -0.023881 -0.017148 0.081666 0.145440 -0.018869 -0.079337 0.038538 0.109050 0.150007 0.133057 0.137556 0.009968 0.028223 0.118542 0.150329 -0.192733 0.018764 -0.103885 -0.123480 -0.057669 -0.095883 -0.003261 -0.149217 -0.070847 -0.022119 -0.084170 0.125123 -0.103899 -0.045781 -0.199888 0.059783 0.200997 0.147765 0.013580 0.079547 -0.042935 -0.058490 0.021691 -0.061089 -0.029283 0.147684 0.038612 -0.014891 0.016248 -0.215485 0.113220 0.048162 -0.092344 -0.023296 -0.056005 0.063648 0.062616 0.068778 -0.121739 0.104337 0.162127 -0.056203 0.061256 0.000895 -0.153172 0.066008 -0.081726 0.034461 -0.024275 -0.004002 0.125210 0.090880 0.070600 0.294488 0.025425 0.124298 0.059260 0.072976 0.032888 -0.063079 -0.171530 -0.064388 0.108348 -0.033168 -0.158346 -0.051987 -0.070676 0.001498 -0.027625 0.058648 -0.047642 0.033987 -0.106510 -0.273955 -0.177691 0.170644 0.171132 -0.007886 -0.060246 0.079840 0.139636 -0.032079 0.209843 0.066650 0.034791 -0.031438 0.037558 -0.004578 -0.003225 -0.256659 0.128713 0.031701 0.080056 0.162094 -0.048154 0.046312 -0.000281 -0.047396 0.030332 -0.127734 0.035290 -0.106337 0.194102 -0.135707 0.189383 -0.037317 -0.027056 -0.059620 0.038489 -0.160782 0.019359 -0.059458 -0.037515 -0.059332 0.064192 -0.102627 0.049055 -0.137607 -0.315995 0.073314 0.065962 -0.177093 -0.000080 -0.215565 -0.082093 -0.041908 0.147349 -0.037227 0.090360 0.037843 -0.003120 0.071371 -0.266330 -0.060531 -0.069131 -0.098385 -0.047572 0.036378 -0.000993 -0.136332 -0.006267 0.088559 -0.001644 0.046019 -0.149232 0.143577 -0.171822 0.023766 -0.036414 0.144471 0.052279 0.042167 0.107559 -0.060463 -0.022288 0.073607 -0.147907 -0.047854 -0.017834 0.069621 0.135411 0.149858 -0.047859 -0.024539 0.119425 0.034283 0.017045 -0.268424 -0.144903 0.056359 -0.113515 -0.093622 -0.240162 0.080251 -0.085566 -0.013955 -0.092918
-würden 0.045018 0.037538 -0.210720 0.077197 0.045304 -0.205830 -0.126648 0.070106 0.007155 0.048708 -0.102159 -0.119263 -0.100720 -0.089978 0.036125 0.074993 0.026296 0.048088 -0.086537 -0.115236 0.100748 -0.165998 0.001279 0.145530 0.303113 0.061207 0.087506 0.086586 -0.120413 -0.086287 -0.044863 -0.146327 0.060288 -0.093103 -0.062671 0.058226 -0.046867 -0.199260 -0.043815 -0.047279 -0.000194 -0.071982 0.206569 -0.046167 0.111572 0.088721 0.045767 0.082667 -0.051535 -0.135765 0.114785 0.009014 0.027821 -0.210124 0.106501 -0.079275 -0.098755 -0.073488 0.186090 -0.024365 -0.106590 0.125886 -0.050555 0.126709 -0.034232 0.039386 -0.014138 0.013131 -0.130891 -0.019947 0.089442 -0.085129 0.120414 -0.032447 -0.029973 0.036076 0.098433 0.106633 -0.071130 0.031398 0.124281 0.048788 -0.093288 -0.091221 0.017662 -0.210598 -0.071710 -0.136055 0.163413 -0.044457 0.051134 0.006065 0.071841 -0.101202 0.017575 0.007069 -0.104500 -0.094421 0.014542 0.103069 -0.036331 -0.014566 -0.092812 0.190958 0.055265 -0.206857 -0.147622 -0.085302 -0.025777 0.049793 -0.120990 -0.289415 -0.048425 0.124584 0.147399 -0.133610 0.005693 0.057135 0.057222 0.086697 -0.013606 -0.051630 0.086425 0.011419 -0.145141 0.090994 -0.025356 -0.056794 -0.056401 -0.043037 -0.009701 -0.123393 -0.062238 -0.074835 0.066759 0.003727 -0.025079 -0.094932 0.103972 0.035793 -0.012220 -0.009390 -0.077539 -0.260484 0.066815 -0.012401 0.018350 0.117108 -0.022097 -0.090372 0.134915 -0.169105 -0.095512 0.037159 -0.103633 0.029944 -0.007537 -0.037173 -0.016408 -0.170256 -0.055413 -0.012984 0.010638 0.017193 0.221725 -0.108664 -0.164292 0.140944 -0.066974 -0.006909 0.016934 0.203153 -0.018606 0.044010 -0.009216 0.130226 -0.176380 0.189691 0.003699 0.041163 -0.079947 0.182335 -0.312470 -0.030605 0.101259 -0.006687 -0.198878 -0.038707 -0.048526 0.086661 0.038444 0.144598 -0.011261 0.002501 -0.122194 0.083387 0.030286 0.038142 -0.022771 0.048709 0.021380 -0.088321 -0.019170 0.075159 0.057650 0.080854 -0.023584 0.067956 -0.079545 -0.019009 0.067532 -0.087830 0.052549 -0.052619 -0.110029 -0.065288 0.168009 -0.087678 -0.111650 -0.078980 -0.035127 0.011143 0.087791 0.136046 -0.055045 0.104807 -0.256076 -0.109945 0.066702 0.006580 0.117176 0.020369 0.066101 0.118629 -0.102732 0.026514 -0.153345 -0.077899 0.014034 -0.053796 -0.025615 -0.105294 -0.192909 -0.034266 0.026077 -0.009806 -0.028018 0.027143 0.162842 0.186992 0.086083 -0.030673 0.163203 -0.125216 0.105776 0.025106
-Hilfe 0.042758 -0.119265 0.052177 0.022955 -0.072005 -0.021029 -0.052605 -0.060714 -0.014261 -0.096951 0.058863 0.143164 -0.129858 0.016079 0.158132 0.016767 0.120047 -0.052874 -0.109360 -0.035963 0.211514 0.051847 0.117662 -0.080188 0.109965 0.254335 -0.047390 0.024594 0.100530 -0.137621 0.036817 -0.101750 0.095601 0.102564 0.106643 -0.062955 -0.218189 -0.082841 -0.085526 -0.050648 -0.055616 -0.067911 0.120773 0.076731 -0.165553 0.100588 0.014796 0.103777 0.044035 -0.069108 -0.049715 0.113055 0.165364 -0.017165 0.094880 -0.016132 -0.062674 0.019801 0.152764 0.097905 0.077540 -0.126736 0.078801 0.023480 0.111597 0.085356 0.062738 0.055711 -0.057716 -0.114911 0.149503 -0.063967 0.043578 -0.028944 -0.003342 0.084257 -0.170884 0.024641 -0.090655 0.145767 0.127127 0.044569 0.057582 -0.100849 -0.074800 -0.111175 -0.064635 0.149962 0.069047 0.022309 0.084679 0.168072 -0.002540 0.127009 0.103241 -0.141262 -0.033965 0.069479 -0.026903 -0.015197 0.120051 -0.146915 0.109821 0.175256 0.152292 -0.105820 0.031994 0.218047 0.132805 0.010836 -0.132483 0.171005 -0.056060 0.023438 -0.079938 -0.121121 -0.070068 0.053776 0.052940 0.014880 -0.023969 -0.101903 0.029161 -0.007977 -0.058133 -0.028729 -0.123037 0.149716 -0.000077 -0.092538 -0.146521 -0.084409 -0.231695 -0.014995 -0.210698 -0.012844 0.085894 -0.093287 0.163694 0.137954 -0.117769 -0.102951 0.028458 -0.039967 -0.028761 0.156516 0.086833 -0.016957 0.068186 0.160328 0.072270 -0.026197 0.123958 0.104892 -0.045091 -0.129962 0.020368 -0.026274 0.096257 -0.036891 -0.003737 -0.042906 0.087676 -0.215783 -0.131634 -0.047583 0.081952 0.237261 0.010941 0.024431 0.094437 -0.143897 -0.011643 -0.052743 0.105518 0.037963 -0.044540 0.090050 -0.158938 0.060477 0.108078 0.006099 0.050290 -0.111923 -0.101280 0.056843 -0.090671 -0.068596 0.091309 -0.058378 -0.078808 0.024567 0.039364 0.111982 0.052548 0.158082 -0.046242 0.085439 0.012641 0.170483 -0.023681 0.127079 -0.048137 -0.069460 0.025330 -0.086049 -0.022545 -0.104207 0.076448 -0.006132 -0.024996 -0.040908 0.159350 -0.041462 0.089910 -0.017405 0.038440 -0.139935 0.126745 -0.036157 -0.122658 -0.128872 -0.011802 -0.130101 0.082051 -0.086950 -0.133954 0.092088 -0.061656 -0.043567 -0.088552 -0.032576 0.004995 0.071347 0.159256 0.028101 -0.103968 -0.026959 0.047840 0.045596 0.053150 -0.024181 0.140208 0.045327 0.109728 -0.081398 0.014849 0.101670 0.059674 0.115697 0.074724 0.074116 0.150228 0.184929 -0.066827 0.092339
-Ziele 0.136586 -0.109718 -0.007146 -0.021837 0.118309 -0.134505 -0.056435 0.154195 0.080653 0.047903 0.155290 -0.021572 -0.093562 -0.123043 -0.078681 0.006170 0.070758 0.091004 -0.153594 0.065535 0.018734 0.117825 -0.030991 0.001523 -0.035691 -0.055801 0.139748 0.035158 -0.096799 -0.072621 0.003767 0.011479 0.055944 -0.009713 0.055602 -0.047085 -0.043388 0.152324 0.037466 -0.009147 -0.063014 -0.055917 -0.048374 0.037364 0.017357 -0.139856 0.113875 -0.082864 -0.142240 0.077495 -0.005407 0.037901 -0.025010 -0.110657 -0.112334 0.027699 0.018942 -0.004654 -0.028349 0.073023 0.071316 -0.070098 -0.017495 0.125813 0.061867 0.117745 0.074617 0.078499 0.125986 -0.135485 -0.172799 0.151624 0.100758 0.003128 0.009096 0.004381 0.085156 0.029182 -0.117286 -0.033799 0.050059 -0.094373 0.054474 0.084353 -0.097148 -0.014043 0.019288 -0.021872 0.082678 0.077346 -0.043368 0.125017 0.068207 0.005071 0.117690 0.007818 -0.061346 0.214748 -0.025725 0.065545 0.003618 0.178221 -0.013199 -0.084993 -0.245872 0.167944 0.093995 -0.074944 0.066515 0.113862 0.132585 -0.062926 0.090903 0.012540 -0.076082 0.115270 -0.100336 0.127455 -0.087457 0.049821 0.081073 -0.109205 0.049930 0.107197 0.068169 0.047324 0.082954 -0.007818 0.080589 -0.069225 0.044869 0.093180 0.039225 0.049203 0.081145 -0.076939 0.031360 0.012053 -0.007338 -0.109353 0.082190 0.068694 -0.049710 -0.121625 -0.029366 -0.211315 0.062124 -0.133552 -0.010603 -0.143891 -0.000387 0.088224 0.031357 0.024180 0.089178 -0.097806 0.155616 0.029482 0.032150 -0.045892 -0.001577 0.088885 0.004008 0.120256 -0.099328 -0.078680 0.075600 -0.018618 0.238309 0.082280 0.034030 -0.081490 0.044360 -0.057000 -0.024664 -0.027220 -0.145705 0.118887 0.091517 0.118692 -0.039159 -0.092507 0.102695 -0.007363 0.016385 0.045286 0.074696 0.050121 -0.037697 -0.102417 0.167916 -0.019872 -0.166611 0.109818 0.066331 0.069145 0.093628 0.005845 0.074167 0.166166 0.075325 0.066399 -0.060655 -0.092619 -0.058612 -0.059694 0.054345 0.018186 -0.090248 -0.099441 -0.008757 0.056784 0.004929 0.023180 0.059438 0.107468 -0.006277 -0.040450 -0.035953 -0.037999 0.168010 -0.010940 -0.075850 0.053304 0.007420 -0.195532 0.155704 0.009049 0.047058 -0.079637 -0.050078 0.111786 0.054068 -0.155208 -0.010778 -0.008506 0.067207 0.053800 0.020166 0.236838 0.135233 0.078573 0.020105 -0.170709 -0.063847 -0.039160 0.124804 0.241760 -0.034485 -0.131147 -0.049171 -0.108858 0.020479 -0.123429 -0.151707 0.127581
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-Abstimmung 0.078791 -0.107503 -0.010834 -0.007300 0.245843 -0.022179 -0.042461 0.129378 0.106082 0.070805 -0.212461 -0.157201 0.034469 0.097970 0.071990 0.035098 0.140787 0.073483 -0.117219 -0.075887 0.025714 -0.008937 0.101816 -0.152817 0.046463 0.221245 0.149885 0.094297 -0.085650 -0.038574 -0.108692 -0.048147 0.086709 -0.049053 0.101139 -0.073302 -0.117453 0.011221 -0.166300 -0.020856 -0.062512 0.061616 -0.025230 -0.127602 -0.093148 -0.076915 -0.082191 -0.094637 0.039775 -0.038572 0.047583 0.087141 -0.023447 -0.014324 0.092744 0.162539 -0.016445 -0.113059 0.045317 0.036242 -0.168180 0.081575 -0.061876 0.133157 -0.089408 -0.088711 0.209767 -0.020492 0.086034 0.063148 -0.027583 0.016138 0.019365 0.193028 -0.130343 0.107100 -0.135408 -0.030324 0.110198 0.001452 0.054314 0.043911 0.048544 0.062397 0.088608 -0.040859 -0.035847 0.022421 0.087585 -0.162544 0.012789 0.012700 -0.171032 -0.004390 0.016611 -0.042558 0.064908 0.093078 0.144481 -0.009278 0.152176 -0.072809 -0.002431 0.085687 -0.026284 0.018494 0.072173 0.060637 -0.080891 0.073097 -0.041430 0.082212 0.121125 0.144807 0.017500 -0.161509 0.186603 0.052659 0.089279 -0.084224 0.005923 0.161399 -0.062155 0.064513 0.029184 0.051067 0.034741 -0.009133 0.069194 0.001607 0.087183 -0.015254 -0.138677 -0.042869 -0.064733 0.057616 -0.065142 -0.020198 -0.093923 0.023520 -0.068823 -0.072334 0.090507 0.016352 0.103457 0.081001 0.074821 0.060522 0.182207 -0.096582 0.025202 -0.068526 0.031668 0.015444 0.132782 0.079955 0.029529 0.038599 -0.072876 -0.047790 0.061650 0.077019 0.046248 -0.098923 0.102862 0.030477 0.030683 -0.001914 0.084523 0.081138 -0.071449 -0.036603 -0.051216 0.061617 0.073052 0.166778 -0.024099 -0.037675 -0.023029 -0.125335 0.166126 0.071613 0.011234 -0.102259 0.019174 0.060128 -0.068358 -0.001873 -0.133631 -0.054533 -0.076640 0.041332 -0.032706 -0.004316 -0.008024 -0.114476 -0.011071 -0.015853 0.121840 -0.067892 0.049937 -0.056025 -0.075085 0.136947 0.008521 -0.111951 -0.183616 -0.151840 -0.120035 0.078185 -0.064527 0.134325 0.058524 -0.018146 -0.015020 -0.060258 -0.008335 0.017670 0.048512 0.014850 0.122311 0.169441 0.129362 -0.118657 0.039232 0.032708 0.079726 -0.030160 0.052342 -0.011702 0.108218 0.018206 0.057176 0.112283 -0.076525 -0.031801 -0.133281 -0.005515 -0.113841 -0.015871 0.082391 0.011115 -0.083032 -0.110245 0.115284 -0.123029 0.133806 -0.000927 0.037618 0.177319 -0.035334 -0.027710 0.000031 0.001233 -0.113526 -0.066593
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-Grund 0.086973 0.092409 -0.027883 -0.054379 0.095665 0.000367 0.006019 0.184633 -0.135880 -0.122394 0.027482 -0.044977 0.017373 -0.093401 0.052977 -0.016045 0.172778 0.185326 -0.189145 -0.044666 -0.013001 -0.028914 0.043847 0.072496 0.092440 -0.034976 -0.150106 -0.013148 0.035956 0.113422 -0.072436 -0.005586 -0.054456 -0.132229 0.111578 -0.064578 0.030025 -0.048591 -0.037045 0.027142 0.194010 -0.069760 -0.129839 0.014012 0.049498 0.037409 -0.063871 0.125949 -0.118787 -0.067034 0.044019 0.112543 0.064955 0.055277 -0.089362 0.019916 0.012546 0.064705 -0.028044 -0.001058 -0.043921 -0.125128 -0.068646 0.004545 0.061814 -0.155816 -0.035269 0.008620 0.108165 -0.039426 0.116579 -0.098454 0.074351 0.081070 -0.004010 -0.009776 -0.050028 0.117639 0.075459 -0.076203 -0.037593 -0.182898 -0.151462 -0.137621 0.114968 0.012310 0.125474 0.050824 0.023116 0.083646 0.095634 0.079537 -0.058022 0.006534 0.060725 -0.082345 -0.008064 -0.009599 -0.155685 0.024352 -0.187178 -0.008186 -0.072227 0.056739 0.018784 -0.047971 -0.110380 0.195655 -0.139063 0.039033 0.102390 0.116769 -0.118133 0.018836 -0.026586 0.124124 -0.030705 0.084622 -0.044778 0.042660 0.128638 -0.071132 0.050521 -0.005118 0.077706 -0.025537 0.158910 -0.005241 -0.008224 0.020225 -0.082190 -0.015918 0.221779 0.111838 -0.019448 0.097632 0.091062 0.115916 -0.097309 0.178560 -0.088820 0.006454 0.037291 -0.156516 0.089916 0.005514 -0.045033 -0.124409 -0.058223 -0.055528 -0.042812 0.194951 -0.086174 0.018945 -0.034917 0.016028 -0.034688 -0.005436 0.011799 -0.191382 0.096047 -0.096500 0.060378 -0.055604 -0.021560 -0.176785 0.068207 0.028963 0.012012 -0.208424 -0.105680 -0.097219 -0.063448 -0.048818 -0.141982 -0.015816 -0.126637 0.064223 0.107486 0.085072 0.051692 -0.150720 0.081524 0.103307 0.018828 -0.010464 -0.099113 0.167413 0.031516 -0.142001 0.136539 -0.166493 0.072929 -0.208791 0.102601 -0.004745 -0.071726 -0.043246 0.149092 -0.061262 0.031797 0.096228 0.011240 0.001877 0.131375 -0.081378 0.074795 0.046809 0.107501 0.035111 0.042089 -0.068350 -0.005559 0.116139 0.056690 0.054329 -0.003265 -0.037111 -0.176539 0.050435 0.159928 0.079294 0.114902 -0.012134 0.181170 -0.072259 0.007877 0.117261 0.140340 0.033666 0.137183 -0.221697 0.053117 -0.094743 0.212532 -0.098108 -0.003648 -0.097920 -0.099422 0.011745 0.041317 0.147742 -0.023192 -0.085816 0.033741 0.000897 -0.123003 -0.000946 0.011016 -0.168420 0.112807 0.207547 0.036873 -0.001660 -0.029982 0.148480
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-nächsten 0.025780 -0.006349 0.010443 -0.139914 0.050791 -0.141558 -0.140278 -0.041677 0.004179 -0.053730 -0.138847 -0.142218 0.002705 0.129230 -0.019924 0.109386 0.008623 0.203369 -0.016552 -0.033376 -0.015467 0.112526 -0.122530 0.043653 -0.098646 -0.055216 -0.208644 -0.009412 -0.218548 0.032001 0.141519 0.306331 0.039755 0.040414 0.088548 -0.150962 -0.011374 -0.096759 -0.003860 0.111146 -0.105717 -0.109296 0.062836 0.007224 0.066681 -0.130447 0.014545 -0.091155 -0.046127 0.209106 0.084784 0.142846 -0.016962 0.058913 -0.070051 0.191423 0.066645 -0.289289 -0.019818 0.214561 0.039798 0.041685 0.067460 -0.024415 -0.161667 -0.067843 0.023772 -0.086608 0.038792 -0.130613 -0.068831 -0.063430 0.025026 0.084651 0.063433 0.095894 0.273829 -0.108389 0.012341 -0.062842 -0.066469 0.060909 -0.102823 0.036362 -0.036379 0.086141 0.120132 0.053169 -0.252593 0.021065 -0.120633 0.092292 0.010671 0.110187 0.049740 -0.070157 0.033719 -0.002809 -0.016602 -0.195868 0.060916 0.144950 -0.086727 -0.111671 -0.055646 -0.020546 0.076355 -0.117944 -0.248150 0.096771 0.012585 -0.082907 0.077377 0.069865 -0.036970 -0.028287 0.124362 -0.250973 0.055984 0.149158 -0.121508 -0.013601 -0.249720 0.011066 0.061179 0.103973 0.015969 -0.104439 0.152150 0.012046 0.025564 0.021919 -0.029178 0.257621 0.058292 -0.089354 -0.066104 0.320348 0.105428 -0.119596 0.018736 -0.023223 0.191735 -0.015258 0.118723 0.146133 -0.031758 0.017580 0.283626 0.004299 -0.105948 0.020947 0.022432 -0.001268 -0.108883 0.057583 0.042029 -0.076878 -0.123712 0.134423 -0.050254 -0.017057 -0.123482 0.165422 -0.055454 -0.029795 0.124846 -0.017901 0.017872 0.191294 -0.135504 0.009011 0.070119 -0.075821 -0.069236 0.022008 0.019518 -0.055818 0.238078 -0.204466 -0.102014 0.063948 -0.018049 -0.224307 -0.075447 0.164131 -0.051339 0.135021 0.096652 -0.144492 -0.169240 -0.054953 -0.027974 -0.231443 0.052570 0.115247 -0.202488 0.040857 0.260625 0.000849 0.059135 -0.110127 0.080856 -0.075273 -0.018121 -0.028290 0.035571 0.129703 0.009881 0.063618 -0.153473 -0.071467 -0.179794 -0.145292 0.180216 -0.042043 -0.021748 -0.135626 0.000490 -0.048523 -0.036374 0.033469 -0.149357 -0.005557 0.031902 -0.082292 0.098301 0.142618 -0.042218 0.064625 -0.047505 0.041112 -0.088029 0.059518 -0.011833 -0.057127 -0.047271 -0.019865 0.092254 0.150861 -0.024002 -0.021368 0.138975 -0.221857 0.066035 -0.042880 -0.317078 -0.033990 -0.073493 0.036377 -0.282534 -0.018872 -0.065413 0.098570 -0.166572 -0.087637
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-15 0.069996 0.056626 0.094135 -0.134682 -0.110299 0.176324 -0.037934 0.092123 0.159546 -0.246544 -0.016636 0.127697 -0.080874 -0.123945 0.131028 0.168100 0.227213 -0.052258 0.015255 0.066044 -0.030445 -0.120618 0.210163 -0.093347 0.026744 0.165846 0.079500 0.006119 0.100847 -0.061563 -0.047350 -0.012228 0.015169 -0.071794 -0.206417 -0.028291 0.061657 0.166856 0.062116 -0.120882 0.055562 0.083026 0.157600 0.044952 -0.002460 -0.077105 0.027689 -0.005938 0.015199 -0.008069 0.028696 0.049410 0.221416 0.075730 -0.070691 0.049726 0.107657 -0.018089 -0.089861 0.098297 0.157729 -0.122843 0.113547 -0.192516 0.137062 0.233886 -0.085919 0.034031 -0.099992 -0.151990 0.017712 -0.089773 -0.178624 -0.074896 0.018829 -0.112796 -0.067849 -0.008790 0.195167 0.013874 -0.020642 -0.005596 -0.143740 -0.058574 0.236880 -0.016854 -0.009076 -0.119448 0.009702 0.144935 -0.002114 0.055630 -0.000985 -0.144707 0.043498 -0.063918 0.025484 -0.232270 0.005644 0.037145 -0.289800 -0.175188 -0.016575 0.188183 -0.029746 -0.096095 -0.097095 0.211367 0.140266 0.005340 -0.135931 -0.010712 0.106179 0.019463 -0.064769 0.205570 -0.229914 0.109245 -0.074369 0.001061 0.078281 0.028634 0.005418 0.060058 -0.132111 0.022125 0.075385 0.058336 0.100841 0.131718 0.055766 0.104187 0.100410 -0.166165 0.103442 -0.058423 0.110194 -0.038376 0.129526 -0.036524 0.099954 -0.090043 -0.013782 -0.014676 0.122219 -0.103198 -0.124790 -0.188509 0.041895 0.002723 0.052604 0.051437 -0.037283 -0.108072 -0.011858 -0.103042 0.075292 0.081539 -0.068086 -0.065148 -0.138357 -0.145151 -0.010342 -0.065250 -0.037864 -0.104129 -0.001617 0.177528 -0.135818 0.003003 0.010664 -0.122851 0.080003 -0.157199 0.186484 0.016416 -0.143002 0.003399 -0.002324 -0.040479 0.019344 -0.153194 0.283683 -0.051664 -0.047210 -0.070722 0.081252 -0.118599 -0.022051 -0.195374 -0.001477 -0.031635 0.000540 -0.002550 0.196754 -0.049980 -0.102629 0.054454 -0.096162 0.171025 -0.135077 -0.033410 -0.178774 0.189366 0.143565 0.097325 -0.039512 0.067765 -0.191458 -0.251585 -0.143035 -0.012396 -0.117891 0.197431 0.377802 -0.008089 -0.198423 -0.085062 -0.123426 -0.004082 0.081172 -0.177201 0.014510 -0.058665 -0.019355 -0.053424 -0.123842 0.041781 -0.012741 0.043423 0.052794 0.006867 -0.076892 -0.102419 0.164614 0.068397 -0.041985 -0.052096 0.038548 0.053332 0.135482 0.077554 0.169754 0.212816 -0.098723 -0.128699 -0.007692 0.141029 0.091449 0.115221 0.106988 0.145844 -0.053318 0.155329 0.088801 0.010389
-Qualität 0.120723 -0.172465 -0.200606 0.075021 -0.191825 0.022226 0.195062 -0.065446 -0.127170 0.023246 0.080003 0.019772 0.043523 0.033013 -0.023031 -0.067032 -0.142326 0.138881 -0.013233 -0.123675 -0.027138 -0.108166 -0.096675 -0.035076 0.049390 -0.001369 0.014088 0.028389 0.040041 0.038180 -0.076410 -0.067276 0.139000 -0.154153 0.138619 0.113239 0.047377 0.001179 0.059970 0.119680 0.022448 0.043042 -0.108886 -0.069372 0.148988 0.035454 0.074560 0.031487 0.011848 -0.102432 0.019414 -0.006363 0.083362 -0.049314 -0.025484 0.065013 -0.072736 0.148129 0.088124 -0.167992 0.033559 0.026546 0.008041 0.155958 0.012463 0.057497 0.065250 0.094185 -0.036285 0.001310 0.052334 0.123658 -0.091087 0.039021 0.074299 -0.153111 -0.061990 -0.065461 0.048486 -0.068157 0.030670 -0.030511 -0.055418 -0.097925 0.108320 -0.021103 0.169816 0.063721 -0.007287 0.113520 0.150730 -0.112153 -0.085948 -0.120648 -0.012387 -0.007007 0.003506 -0.046746 -0.149494 -0.066402 -0.098709 -0.014579 0.225526 0.095017 0.108299 0.055777 -0.074474 -0.016186 0.022461 0.166372 -0.056409 0.094898 -0.047571 0.059621 0.056074 -0.004623 0.076625 -0.062408 -0.167733 0.075020 -0.050907 -0.110386 0.023722 -0.033140 -0.068579 0.078522 0.108725 0.101422 -0.124488 -0.029710 0.014233 -0.131741 0.061737 -0.078258 -0.060746 -0.107859 0.061778 -0.150778 -0.006737 0.083149 0.029877 0.111598 -0.021530 0.052979 -0.069038 0.123614 -0.185787 -0.065721 -0.177287 -0.065137 -0.127509 -0.120964 -0.092173 -0.117354 0.051165 -0.011558 -0.039868 0.025235 -0.049838 0.000159 -0.148997 0.085197 -0.039631 -0.057351 -0.085888 -0.031479 0.109443 0.054589 0.090342 -0.079707 -0.000818 -0.139886 0.139138 0.083371 0.063871 -0.064257 0.003942 0.118283 -0.081502 0.041045 -0.094590 0.024853 0.008316 0.120388 -0.006958 -0.061524 0.041572 0.054214 0.026859 -0.004784 0.103457 -0.090941 0.047234 0.078941 -0.129765 0.110750 0.156653 0.113673 -0.097282 0.081199 -0.066575 0.025754 0.037373 -0.062175 -0.016485 0.043009 0.119642 -0.013203 0.021032 -0.102871 -0.053044 0.025853 -0.044075 0.042336 -0.092532 0.079707 0.002604 0.109692 0.007734 -0.023888 -0.091813 0.009743 -0.055568 -0.045022 0.022679 0.052678 -0.126558 0.016268 0.078597 -0.082729 -0.050198 -0.100386 0.037254 0.072418 -0.002990 0.094259 -0.152353 -0.001842 0.027839 0.144484 0.077598 -0.044950 0.012008 0.153109 -0.100897 0.007318 0.083845 0.028469 -0.087786 0.112592 0.153671 0.060884 -0.046268 0.050626 -0.128755 -0.098143
-Verfahren 0.066625 0.010382 0.221528 -0.052838 -0.001828 -0.048394 -0.042278 0.140119 0.076065 0.002712 -0.030355 -0.062242 -0.029989 -0.052104 0.012081 -0.077240 0.069775 -0.013890 -0.044646 0.197084 -0.028123 0.112382 0.010741 -0.026098 -0.061986 -0.010128 -0.126390 -0.183966 -0.037911 0.124202 0.145346 0.109802 -0.034203 -0.171260 -0.104318 0.010185 -0.173761 -0.002572 0.069022 0.122963 0.003786 0.029661 -0.059074 0.066710 -0.127468 0.014778 0.070265 -0.101349 -0.171984 0.163474 -0.114121 0.148831 -0.012651 -0.038605 -0.058914 0.058244 0.073928 0.043059 -0.019063 0.077351 0.038954 -0.086622 -0.139136 -0.100741 -0.166019 0.069423 -0.017236 -0.138722 -0.055110 -0.166045 -0.069186 0.056472 -0.011702 -0.081637 0.002515 0.148471 0.184516 0.034626 0.025620 0.057472 -0.114515 -0.127650 -0.098430 -0.023827 0.041746 0.145923 0.042767 -0.038108 -0.074939 0.139498 -0.038857 0.148039 0.065299 -0.041643 -0.198962 -0.014231 0.149681 0.227508 0.188981 -0.003225 -0.096589 0.107925 0.009507 -0.033695 0.000727 0.087622 0.161154 0.005093 -0.031079 0.000849 0.035372 0.011156 0.036581 -0.028211 0.035259 -0.058496 -0.017789 -0.094222 0.029115 -0.027375 0.026723 -0.071160 -0.041682 0.258329 0.052679 0.142253 0.116573 -0.132597 0.072165 -0.031527 0.121744 -0.068265 -0.003646 -0.052958 0.122923 0.001021 0.008791 -0.032610 0.023824 0.003544 0.178318 0.034860 0.054976 0.014613 -0.058226 -0.040478 0.002015 -0.060925 0.134437 -0.037149 -0.111094 0.119963 0.074870 0.065734 0.103293 -0.113691 0.214415 -0.147384 -0.050222 -0.020726 0.053294 -0.026985 -0.024776 0.044813 -0.135686 -0.193750 0.001443 0.085244 0.004678 0.033770 0.025117 0.091731 -0.009246 -0.186753 -0.284722 -0.055914 -0.083978 -0.133734 0.075618 0.052294 -0.185182 -0.066364 0.107818 0.010740 -0.042541 -0.036607 -0.153814 0.168244 -0.055901 0.058211 0.019753 -0.076601 -0.042536 0.152318 -0.027183 0.218962 0.055163 -0.108622 -0.053475 -0.042408 -0.014507 0.053682 -0.208974 -0.049413 0.004574 0.065756 0.059932 0.048270 0.127122 0.134139 -0.048764 -0.183151 -0.041062 -0.082461 0.011391 0.080259 -0.107448 -0.257303 -0.099558 0.152164 -0.008209 0.036295 -0.090561 -0.106299 0.070622 -0.123922 0.022418 0.122801 -0.042554 0.170189 -0.016415 -0.107305 -0.064895 -0.149713 0.038693 -0.158234 0.020271 0.016109 0.065463 0.121238 0.014221 0.104510 0.072694 -0.011847 -0.209522 -0.256612 -0.131055 0.050509 -0.077279 0.005027 -0.047475 -0.099856 -0.117003 -0.071227 -0.184010 -0.027889
-erste -0.009074 -0.164266 -0.002236 0.045106 0.115635 -0.135149 -0.083239 -0.011561 -0.131013 -0.102667 0.205730 -0.153846 0.135045 0.192107 -0.026876 -0.080442 0.218858 0.064645 0.015030 0.068311 -0.069654 0.145508 -0.026686 0.000938 -0.006278 -0.138681 -0.152341 -0.061911 0.028993 0.120963 -0.111477 0.036224 0.024315 -0.035125 0.029060 0.026267 -0.148691 0.033454 -0.040991 0.045523 0.020953 -0.051645 -0.075135 0.094487 0.038438 -0.057426 0.200461 0.167608 -0.164580 0.141606 0.023793 0.075240 -0.151875 0.012516 -0.011198 -0.000540 0.190493 -0.125421 -0.088551 0.030683 -0.078457 0.054178 -0.090178 0.042316 -0.094326 -0.048633 -0.192109 0.048739 0.056239 0.094046 -0.043666 0.124599 -0.022298 -0.039241 0.215973 -0.018734 0.179667 -0.120854 0.190816 -0.099953 -0.089486 -0.124371 -0.127968 0.055603 -0.091625 0.035929 0.108606 0.052152 -0.068009 -0.040577 -0.077616 0.198232 0.036695 0.006425 -0.055520 -0.042200 0.118054 0.106566 -0.011625 -0.156114 0.065549 0.191330 0.039632 -0.040282 -0.010549 0.060594 0.112368 -0.105505 0.071243 0.106830 0.114951 0.051085 0.165149 -0.023930 -0.180739 0.124855 -0.088597 -0.070447 0.026277 0.006158 0.023295 -0.008383 -0.104929 -0.043544 -0.005772 0.040191 0.060333 -0.106241 0.136567 -0.076053 0.068207 0.129264 0.206360 0.003579 0.114529 0.163041 -0.091782 -0.062245 -0.096550 -0.161448 0.121405 0.063684 -0.050596 -0.035583 -0.254673 0.068496 -0.063739 -0.055555 -0.048189 -0.220077 -0.068998 0.077857 -0.037204 0.048591 0.181393 -0.019201 -0.141121 -0.144862 -0.178858 0.113357 -0.096827 0.226665 -0.014968 0.095418 -0.033992 -0.105678 0.074220 -0.085923 0.074865 0.125790 0.068110 -0.010125 -0.030930 -0.077442 -0.155686 -0.079843 0.008209 -0.114275 0.269563 0.109712 -0.056275 0.047271 0.004884 0.119214 -0.124614 0.098048 0.062038 0.021186 0.010703 -0.008382 -0.016479 -0.005690 -0.131230 -0.114592 -0.159000 0.027418 -0.137754 -0.082385 -0.018501 -0.045491 -0.128877 -0.205612 -0.072035 0.081220 0.068239 0.111789 0.042828 0.076075 -0.080945 0.028135 -0.073762 0.150389 -0.166687 -0.191256 -0.012945 0.230578 -0.009702 -0.141099 -0.101843 0.038929 -0.088908 -0.099045 -0.050204 -0.021582 0.121503 0.034620 0.159061 0.042822 -0.065504 0.197082 0.101804 0.069102 0.028127 0.002679 0.038003 -0.080520 0.088900 -0.101628 0.131923 0.008909 0.000767 0.039943 -0.029588 0.048391 -0.007833 0.154749 -0.019780 -0.027287 0.088591 -0.020275 -0.051835 -0.143223 -0.152694 0.009758 -0.017526 -0.154531
-hätte 0.138873 -0.039603 0.052873 -0.046090 -0.024565 -0.073032 -0.227031 0.013420 -0.169767 0.071171 0.238867 0.108935 -0.022317 0.026577 -0.023174 -0.011705 -0.003921 0.129913 0.087085 -0.015582 0.049465 -0.146792 -0.224939 0.062887 0.078468 0.175277 0.114524 0.065094 0.000373 -0.068879 -0.116298 -0.108907 -0.027146 -0.068352 -0.145289 0.188125 0.003981 -0.120861 0.080692 -0.033031 0.153476 -0.175932 0.150851 -0.076439 0.188166 0.128474 0.187325 -0.031473 -0.218506 0.177767 0.055712 0.014230 0.033771 -0.093454 -0.122784 0.039260 0.060166 0.099158 -0.101441 0.175223 -0.148350 -0.063176 -0.029907 0.097961 0.214133 -0.029020 0.020804 -0.032580 -0.043757 -0.032039 0.190247 -0.047713 -0.157774 -0.068330 0.173757 0.109082 -0.076434 0.044589 0.006996 0.003159 0.185283 0.019147 -0.131467 -0.120379 -0.106084 -0.041047 -0.020382 -0.242031 -0.037941 0.068568 -0.094633 0.052562 0.059246 -0.122384 0.191288 0.212446 0.122626 -0.073511 0.043332 0.006819 -0.112176 -0.035599 -0.038888 0.052221 -0.028191 -0.011239 0.094349 -0.085025 0.117303 0.021314 0.062377 -0.246910 0.124890 -0.054774 0.004444 -0.013758 0.011387 0.029753 -0.137849 0.184691 -0.193542 0.153543 0.048016 0.025226 -0.083396 0.033604 0.093672 -0.050363 -0.075074 -0.213306 0.044368 -0.132787 0.047832 -0.097252 0.136476 -0.051290 -0.314459 -0.139808 -0.000453 -0.004015 -0.133257 -0.009942 -0.204274 0.203748 0.008818 -0.115425 -0.216413 0.131694 0.107004 -0.059208 0.132613 0.049979 0.102596 -0.026493 -0.089053 0.130516 -0.161832 0.109187 -0.045299 -0.133370 -0.152459 -0.159172 -0.131629 0.057509 0.019977 -0.022466 0.030096 0.018145 -0.107674 0.083723 -0.079783 0.145570 0.009915 0.004741 -0.090756 0.118146 -0.157986 0.111578 0.016492 0.048141 0.020910 0.118390 -0.148637 -0.036530 -0.151939 -0.065952 -0.038097 -0.085842 0.142280 -0.089806 -0.014187 0.052415 -0.100722 0.237913 0.152629 0.128173 0.065255 -0.022387 0.059354 -0.137289 0.180094 0.038497 -0.168367 -0.078649 0.212631 0.004029 0.102039 0.252150 -0.036983 -0.042003 -0.051185 0.085066 -0.288697 -0.160620 -0.101483 0.038160 -0.042186 -0.015559 -0.120587 0.242197 -0.105169 -0.138076 -0.135126 0.068164 -0.065253 0.003517 -0.030685 -0.099525 -0.101768 -0.084936 -0.045690 0.044660 -0.009306 -0.056077 0.046837 0.061800 -0.026737 0.077151 0.019114 -0.076579 -0.205529 -0.140127 -0.023113 -0.063801 0.085773 0.068595 0.040683 -0.089125 -0.116051 0.314096 0.119423 -0.128108 -0.223304 0.116308 -0.021114 -0.087347
-nutzen 0.057897 0.112092 0.121719 -0.003802 -0.031747 -0.010078 -0.126194 -0.125069 -0.103253 0.038948 -0.001031 -0.188745 -0.141283 0.021617 -0.151876 -0.067305 0.175011 0.025938 -0.002631 0.167859 -0.109654 0.260582 0.034754 -0.060446 -0.107016 -0.120028 -0.057136 -0.263268 0.074188 0.019164 0.090070 0.077852 0.111327 0.092230 -0.048289 -0.062682 -0.091649 -0.171164 -0.038044 0.009687 -0.068115 -0.019551 0.033545 0.060509 -0.007734 -0.176909 0.053405 0.178000 -0.099911 -0.018156 0.041109 0.063525 -0.123540 0.202602 -0.141208 0.190648 0.096622 -0.078696 -0.135837 0.021696 0.005069 0.051465 -0.012854 0.012312 -0.036627 -0.027779 -0.025398 0.040479 0.125611 -0.018871 -0.180583 0.202685 0.001000 0.127682 0.148092 0.169093 0.032085 0.085942 0.118913 -0.017527 0.075047 -0.054487 -0.058220 0.054487 -0.144119 -0.120207 -0.005847 -0.053968 0.034804 0.075590 -0.231552 0.187562 0.092410 -0.114102 -0.007275 -0.075600 -0.056063 0.018536 -0.136521 -0.051318 -0.098097 0.111375 0.202338 -0.257890 -0.079840 -0.160873 0.134136 -0.075082 -0.000429 0.161857 0.166317 0.020741 -0.033663 0.014200 -0.125287 0.152635 -0.070057 0.032136 0.149623 0.034287 0.063676 -0.091381 0.064589 0.105413 0.227651 0.071163 0.022575 -0.254626 0.013453 -0.116715 0.110631 0.025558 0.044795 0.106711 -0.062540 0.083359 0.011474 -0.078152 -0.119940 -0.023751 -0.006736 0.075934 0.114056 -0.019631 -0.057908 -0.010748 0.002260 -0.014980 0.184442 -0.117582 -0.088836 0.130335 0.035385 -0.074508 -0.039942 -0.178034 0.063468 -0.248891 0.080407 0.258490 0.152252 0.075213 0.089104 0.135100 -0.062653 -0.101721 0.135737 -0.069404 0.130472 -0.126147 -0.012756 -0.200941 0.126667 -0.200837 -0.018047 -0.111639 -0.142787 -0.012833 0.004430 0.133496 0.011574 0.136394 -0.140450 0.095299 -0.197881 -0.094171 0.039356 0.085156 -0.156186 -0.041235 0.108850 0.047463 -0.001518 0.031128 -0.012875 0.084366 0.076023 -0.131074 -0.043703 0.132844 -0.057334 -0.032346 0.077189 -0.035813 -0.013420 0.043778 0.112348 -0.059119 0.085259 0.082592 -0.245982 -0.031111 -0.004411 -0.027761 -0.013356 -0.010474 -0.047691 -0.001056 -0.093323 0.093738 -0.134861 0.035261 -0.093073 -0.134708 -0.107496 -0.188964 0.210410 0.115197 0.021776 0.131187 0.027216 0.026084 -0.120388 -0.146166 0.104845 -0.115828 -0.049014 -0.082923 0.076105 -0.090450 0.134266 -0.016894 -0.030314 -0.038888 -0.102129 0.064172 0.022936 0.109609 0.027990 0.114144 0.004435 0.118965 -0.064037 -0.070854 0.001426 -0.169794
-sei 0.282062 -0.029072 0.016664 0.014819 0.210533 -0.090231 -0.065754 0.055710 -0.000626 -0.011744 -0.130262 -0.034976 0.116337 0.170485 -0.169606 -0.124970 -0.035407 0.122173 0.045807 -0.052210 0.015430 0.017760 -0.047223 0.098092 -0.047514 -0.007399 -0.135303 -0.069879 -0.099912 0.145006 0.078023 0.016133 0.201806 -0.203379 -0.113244 -0.065043 -0.010735 0.103241 0.054935 -0.044351 0.073637 0.024083 -0.090665 -0.069052 -0.037279 0.130652 -0.000504 -0.026567 -0.024436 0.057931 0.109605 0.115007 -0.070402 -0.050879 -0.128249 0.165980 -0.042430 -0.116865 -0.165905 0.047005 -0.137973 0.187438 0.169375 0.174522 -0.185273 -0.026070 0.122976 0.008197 -0.023364 0.024151 -0.172006 0.081371 -0.034397 0.160626 0.016137 0.054036 0.116799 -0.068701 0.033505 0.035244 0.156287 0.101221 0.085570 -0.036790 -0.004572 -0.020536 -0.082310 -0.126043 -0.045583 0.066272 0.061773 -0.066374 0.088639 -0.052815 -0.082293 0.201864 0.041227 0.051643 0.013541 -0.108657 0.121500 0.109460 0.080362 -0.259881 0.114601 -0.014516 0.075717 -0.030119 -0.146239 0.205022 0.061309 -0.088595 -0.067137 0.074988 0.059344 -0.097038 0.234727 -0.179686 0.108090 0.065884 -0.010260 0.026703 -0.080529 -0.134297 -0.005406 0.042712 0.079914 -0.088170 -0.147635 -0.048651 0.101851 -0.123058 0.091887 -0.106455 0.003319 0.063213 -0.091757 -0.144189 -0.120096 0.026461 0.008918 0.189110 0.052906 0.023229 0.112404 0.111269 -0.174686 0.008158 0.042428 -0.058835 0.034068 -0.054887 -0.153031 0.015494 0.109285 -0.064372 0.054644 -0.044969 -0.238139 0.085131 -0.259064 -0.015557 -0.254122 0.143930 -0.125596 -0.138610 0.158619 -0.057515 -0.104177 0.254505 -0.228517 -0.055763 0.099052 -0.100782 -0.099246 0.110145 -0.122767 -0.046536 0.021486 0.077040 -0.212160 0.120316 0.017557 -0.027160 -0.187605 0.130801 0.028961 0.176695 -0.027127 -0.014598 0.035849 -0.073868 -0.024177 0.127265 -0.104883 0.019268 0.022063 -0.043240 -0.180134 -0.081259 0.149661 -0.062904 0.017504 -0.092973 0.002877 0.050379 -0.061662 0.024976 -0.012392 0.070953 0.077257 -0.141190 -0.101751 -0.124134 -0.023285 -0.015550 0.039460 -0.115159 -0.059172 0.200388 0.026905 0.060929 -0.177039 0.052158 -0.030166 0.036503 0.014169 -0.000502 0.000930 0.051025 0.020420 0.081604 -0.008927 -0.021255 -0.077326 0.021885 0.073177 0.094640 -0.050425 0.003740 -0.064078 -0.067852 0.151780 -0.107021 -0.151427 -0.161160 -0.105571 0.065054 -0.119000 0.027412 -0.017474 -0.076946 -0.087017 0.034374 -0.098577 -0.061138
-weiß -0.016535 -0.122414 0.031237 -0.083788 0.030419 0.026833 -0.080962 -0.138170 -0.039669 0.156767 -0.046433 0.028902 0.101596 0.111973 0.055810 0.076520 -0.101135 0.026353 0.124219 0.013595 0.023951 -0.011849 0.132639 0.119271 -0.139515 0.060295 -0.094093 0.063958 0.041724 0.104491 -0.091076 0.032259 -0.019080 0.132773 -0.052277 0.073391 0.083532 -0.062908 -0.107688 -0.087294 -0.087918 -0.003488 0.032372 -0.037335 -0.009696 -0.083664 -0.017563 -0.199738 -0.077630 0.059110 -0.014282 0.048255 -0.151694 0.013492 0.034815 -0.080065 -0.033739 0.017480 0.032892 -0.017468 -0.041104 -0.037413 -0.012250 -0.085824 -0.134145 -0.077989 0.076011 -0.067207 0.105370 -0.070249 -0.086956 0.070026 0.071698 0.082119 -0.162979 -0.021844 0.126609 -0.007293 -0.075601 0.000013 -0.136806 -0.085199 0.052780 0.071833 0.029805 0.081820 -0.029293 -0.022540 -0.125872 0.043739 -0.096845 -0.009120 -0.087145 0.059215 -0.122957 0.108159 -0.072772 -0.018098 0.139710 -0.124530 0.016966 0.080953 0.029214 -0.118067 -0.152213 0.129859 0.121980 0.011840 -0.113379 0.058290 0.043570 -0.027016 0.083301 0.015359 0.040455 0.081105 0.030994 -0.009540 -0.026121 -0.010233 -0.042802 0.054350 0.043884 -0.077088 0.062285 0.002942 -0.086740 0.111285 0.101295 0.031762 -0.068375 -0.051406 0.010819 0.058747 0.013638 0.021375 -0.029020 0.108015 -0.029600 -0.167461 0.109635 0.059913 0.002684 0.014418 0.159265 -0.050578 0.117178 0.106666 0.046425 0.046470 0.023752 0.012113 0.118532 0.006720 0.021142 -0.054152 0.007343 0.012428 -0.060732 0.036189 -0.041573 -0.057038 -0.162642 0.083005 0.050275 0.138481 0.011684 -0.078960 0.027931 0.124261 0.009883 0.008349 -0.066575 -0.037066 -0.014671 -0.112451 0.036401 -0.130223 -0.068730 0.078045 0.006283 0.001854 0.177998 -0.011666 -0.030068 0.145299 0.027636 0.023936 -0.165094 -0.138908 -0.051602 0.099286 0.124820 0.048636 -0.104015 0.049362 -0.010520 -0.056590 -0.104202 0.050095 -0.015166 -0.164847 -0.156846 0.002922 -0.099408 -0.072205 0.059770 0.085139 0.091120 -0.020148 0.143760 0.019166 0.032525 -0.071859 -0.005392 -0.038937 0.050156 0.169631 -0.011650 0.033290 0.144986 0.035301 0.095505 -0.165082 0.109936 0.094789 0.069032 -0.011790 -0.013480 0.068529 -0.077146 -0.028575 -0.058264 0.006056 -0.007476 0.096554 0.022029 0.161333 0.130665 -0.066751 0.085375 0.025658 0.102722 -0.094210 0.005965 0.039049 -0.107344 0.008495 -0.129007 0.022200 -0.037064 -0.041062 -0.025228 0.013573 -0.093650 -0.176425
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-sogar 0.133654 -0.064117 0.002859 -0.014958 -0.016493 -0.120491 0.050513 0.094047 -0.175486 -0.025147 0.084174 -0.129852 -0.008201 0.123077 0.043213 -0.075577 0.115315 0.050576 -0.137201 -0.066207 -0.058706 0.133767 0.005313 -0.038254 0.029949 -0.141104 -0.094154 -0.069611 -0.196188 0.126265 -0.050447 0.156621 -0.023060 -0.095483 -0.031947 -0.107282 -0.077283 0.001651 -0.013173 0.207813 0.109762 -0.203627 0.096795 0.041107 0.061359 -0.096419 0.008662 0.191110 -0.054434 0.041434 0.041372 -0.003043 -0.195434 0.099019 -0.088041 0.114992 0.096405 -0.118676 0.021409 -0.046234 -0.005085 -0.053463 -0.179959 0.078896 -0.157044 -0.118052 0.077660 -0.080876 -0.061428 0.011048 -0.055435 -0.045786 -0.011571 0.210610 0.120669 -0.050517 0.022653 -0.081070 0.079287 -0.062812 -0.131802 -0.015980 -0.059859 -0.082164 0.008388 0.036216 0.059056 -0.118963 0.083931 0.111397 0.007755 -0.015748 -0.015929 -0.065669 0.011225 0.029207 -0.027126 0.041730 -0.013969 -0.071703 -0.097412 -0.119867 0.060038 -0.038003 0.106933 -0.021307 -0.017435 -0.108525 0.049364 0.021917 0.104478 -0.163593 -0.092839 0.087784 0.085609 0.081622 0.013910 -0.203589 0.130260 0.106824 0.049197 -0.146725 -0.034198 0.019931 0.138669 0.066970 0.106093 0.092001 0.054925 -0.111584 0.029383 0.132913 0.142018 0.099278 0.122570 0.120615 0.099121 0.052040 -0.092340 -0.044993 0.179990 0.130102 -0.096420 -0.004389 -0.081671 0.128675 0.004877 -0.061598 0.062836 -0.117452 -0.104043 0.091878 -0.192570 0.011923 -0.006299 0.066820 -0.073028 -0.202576 -0.102935 -0.061224 0.011966 0.123987 -0.018346 -0.041708 0.001842 -0.100782 0.102804 0.029157 -0.142029 -0.030944 0.044963 0.124271 0.078094 -0.104719 -0.090015 0.005750 -0.029331 0.087408 0.118082 -0.049312 -0.059281 0.129427 -0.130352 0.119146 -0.211183 -0.053591 -0.067308 0.139615 -0.075868 -0.102544 0.027569 -0.103990 -0.060221 -0.155334 -0.087020 0.031066 0.005960 -0.142265 0.035218 -0.136423 -0.135795 -0.088143 -0.177833 -0.072700 0.031971 0.034350 -0.035276 -0.014927 0.019044 -0.047442 -0.127454 -0.094143 0.070803 -0.093231 0.137488 0.102356 -0.047801 -0.200072 -0.084209 -0.017927 -0.023142 -0.029968 -0.030710 0.033726 0.093758 -0.231070 -0.045516 0.136327 0.144757 0.026611 0.197006 -0.105716 -0.097128 0.047535 0.209795 -0.090361 0.096570 -0.093086 -0.019521 0.045226 0.047325 -0.104470 0.065930 -0.164210 -0.039127 0.059159 -0.226645 0.007722 0.032870 -0.056974 -0.153598 -0.034592 0.048236 0.029375 -0.047565 -0.034389
-unterstützt 0.037395 -0.053608 -0.053615 0.010750 -0.011234 0.085105 0.017540 0.098313 -0.110685 0.040230 0.072528 0.153340 -0.048818 0.065880 -0.166034 -0.093530 0.084393 0.152527 -0.008554 -0.074809 -0.064727 0.040065 0.093677 0.066993 0.091398 -0.232132 -0.040632 0.079233 0.000901 0.148364 -0.051100 0.192023 0.020134 -0.013003 0.070249 -0.061759 0.134966 0.136255 0.057704 0.151724 0.032222 -0.008711 0.105362 0.061315 0.077927 0.059178 0.030736 -0.018085 -0.049971 -0.070221 -0.032143 -0.109477 0.015418 0.021527 0.062682 -0.024928 -0.136183 0.035074 -0.128955 0.093494 -0.007255 -0.128105 -0.091677 0.126597 -0.033641 0.005542 -0.097477 0.016818 0.194751 -0.075808 -0.101507 0.056806 0.043632 -0.045976 0.003375 -0.082932 -0.055690 -0.003347 -0.030440 -0.008643 -0.059590 -0.083582 0.029993 0.059323 0.015644 0.046142 0.008088 -0.105038 -0.047933 0.030736 -0.199878 -0.073290 0.074007 -0.064237 -0.128314 -0.068270 0.087575 0.134975 0.078118 -0.107043 -0.030750 0.081234 -0.001358 -0.102828 -0.209648 -0.059433 0.217611 -0.011347 0.054969 0.052358 0.138653 -0.012954 0.033828 -0.034194 0.070377 0.126827 0.041103 0.067480 0.156738 0.002519 0.189362 0.100123 0.040517 0.114983 0.271191 -0.169688 0.143931 0.033031 0.080225 -0.018795 0.015908 0.018768 0.072463 0.107355 0.082688 0.046276 -0.030678 -0.032654 -0.193143 0.041372 -0.022487 0.129608 -0.066516 -0.150110 0.052404 -0.125717 0.045103 -0.038006 0.049842 -0.039282 -0.033004 0.122921 0.064429 -0.108200 0.034595 0.005060 0.037022 -0.059054 -0.104216 0.072123 -0.013357 -0.057090 -0.125122 0.267168 -0.114871 -0.001698 0.137079 0.024984 0.079563 -0.086469 -0.067856 -0.006846 0.049201 -0.145363 -0.156316 0.004340 -0.018029 0.042252 0.049198 0.090239 -0.027147 0.017783 0.054871 0.183598 -0.059571 -0.108765 0.127900 0.071143 0.006565 0.011647 0.000039 -0.010758 0.111001 -0.105768 0.126818 -0.048707 0.064869 0.052357 0.092931 0.019679 -0.066662 -0.065349 -0.126945 -0.151962 -0.043144 -0.054960 -0.071393 -0.018471 0.058877 -0.099056 -0.185051 -0.057808 -0.071819 -0.103241 -0.009523 0.038974 -0.125544 0.085347 -0.011860 0.116873 0.137217 0.001074 -0.040609 -0.075932 0.037001 -0.186904 0.090756 0.044284 0.014543 0.085778 0.111602 0.037678 -0.158687 -0.083322 0.054782 -0.080045 -0.059303 0.014677 0.044090 -0.005220 -0.061969 0.094841 0.062988 -0.013027 0.026416 -0.094267 0.018290 0.039856 -0.138827 -0.148031 -0.121976 -0.103925 -0.094757 0.001587 -0.077551 -0.078805
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-ganze 0.017791 0.068158 -0.004615 0.199257 0.061291 -0.000882 0.052365 0.060527 -0.074371 -0.164407 0.094004 0.008564 0.030256 -0.069752 0.055435 0.007152 0.087365 0.073123 0.140452 -0.043392 -0.126513 -0.068120 -0.160647 0.050349 0.069392 -0.025268 0.187759 -0.015014 -0.047427 -0.053829 0.027497 -0.171655 -0.123168 -0.030214 -0.160604 0.060134 0.157580 -0.021587 0.098582 -0.142026 0.181495 -0.059587 0.011554 0.010720 -0.014968 0.129166 0.035176 0.010600 0.138083 0.065482 0.010314 0.116409 0.082474 -0.056753 -0.082667 0.053513 0.159357 -0.038848 -0.029954 0.073077 -0.062440 -0.047470 -0.012016 0.109935 0.033093 0.058491 0.014335 0.142943 0.040011 -0.036512 0.119700 0.098072 0.095174 0.004102 0.235845 0.039666 -0.038993 0.126663 -0.023805 -0.193013 0.048292 -0.136853 -0.109022 -0.124765 0.130833 0.014195 -0.083801 -0.100108 0.005738 0.051974 0.135940 0.079601 0.188137 -0.284714 0.016944 0.152017 0.201185 -0.112010 -0.058763 0.058797 -0.174812 -0.088055 -0.048412 0.079927 0.148779 0.001862 -0.173087 0.076107 0.048587 0.060182 0.004607 -0.218660 -0.069083 -0.010357 0.110860 -0.029258 -0.027073 0.030242 -0.065336 -0.004176 -0.031949 0.093052 0.008177 -0.205467 0.027998 0.011359 -0.097537 -0.085711 -0.156006 -0.024158 0.112031 -0.038037 0.280435 -0.045510 -0.053620 -0.009407 -0.026514 -0.112994 0.032037 0.065344 -0.105315 0.093280 0.032057 -0.048285 -0.113530 0.093366 -0.046671 0.036591 -0.115779 0.075984 -0.053935 -0.102766 -0.237217 -0.059533 -0.123932 0.095847 -0.177535 -0.040225 -0.192219 0.041289 -0.204191 -0.067245 -0.007219 -0.080238 -0.030842 -0.126839 -0.107194 -0.011407 -0.199056 0.146712 -0.097869 0.093888 0.130887 0.191241 0.191603 0.023828 -0.185191 -0.054721 -0.068768 0.006344 -0.059219 0.155574 -0.080261 0.104942 0.004041 -0.054236 -0.149039 -0.002220 0.141135 0.146553 -0.062110 0.089262 0.094310 0.148643 0.059936 0.107676 -0.102447 -0.177516 -0.086366 -0.154587 0.016257 0.183541 -0.049965 0.018059 0.105597 -0.038063 -0.001514 0.060075 0.010727 -0.019990 0.163190 -0.183997 -0.090262 -0.093429 -0.097457 0.085031 0.103236 -0.098015 -0.083534 0.120713 -0.131672 0.014003 -0.091887 -0.020602 0.161548 -0.036208 -0.164379 -0.070637 -0.039358 -0.111889 0.096812 0.073850 0.053456 0.056743 0.035890 0.011667 -0.078689 -0.057851 -0.127982 0.057551 0.037955 -0.087372 0.043117 0.052774 0.098319 0.141873 -0.082839 -0.102705 0.050018 0.097624 -0.024359 -0.181933 0.127120 -0.046168 -0.042990 -0.036051
-gehört 0.025556 0.005975 0.175792 -0.119595 0.068954 0.016661 0.008462 0.021959 0.017387 0.012052 0.121594 0.038955 0.204533 0.063389 -0.134984 0.101056 -0.072147 -0.001336 0.027549 0.059774 -0.140718 0.037970 0.033687 -0.022927 -0.306416 -0.016630 0.091907 -0.233983 -0.023409 0.074341 0.161726 -0.003585 -0.108042 0.066790 -0.036081 0.015746 -0.014280 -0.007717 0.208269 0.094847 -0.108618 -0.062836 -0.007785 0.172571 -0.122032 -0.031833 0.068034 -0.055234 0.033558 0.248515 -0.119161 0.181472 -0.048149 -0.015298 0.016259 0.113475 0.108439 0.112280 -0.048738 0.166437 -0.035410 -0.090024 0.002858 -0.005565 0.082825 -0.009472 -0.059376 0.051877 0.006945 -0.035638 -0.023717 -0.033469 -0.016452 -0.020173 0.126181 0.004070 -0.019173 -0.208511 0.114581 0.050510 -0.041445 -0.069426 -0.009855 0.049939 0.062634 0.059874 -0.055549 -0.098200 -0.226716 0.089931 -0.141349 0.150788 0.082663 -0.011387 -0.012045 -0.070246 0.132393 0.039445 0.070917 -0.101653 0.044505 0.128686 0.041123 -0.083423 -0.236374 0.015404 0.094082 0.049764 -0.168538 0.112236 0.160789 0.097475 0.041551 -0.162356 -0.051910 0.027946 0.038598 -0.005495 0.002934 0.160761 0.016339 0.064744 -0.058767 0.043839 0.078338 0.086832 0.013260 -0.094096 0.003439 -0.030194 0.041225 0.076848 -0.047107 -0.061887 -0.060207 -0.045654 -0.224191 0.090740 -0.043881 -0.031952 -0.114978 -0.025361 0.052512 0.243603 -0.097788 -0.034012 -0.140222 0.095233 0.233098 -0.036798 -0.013498 0.052115 0.110297 -0.031479 0.047444 0.030930 0.069182 -0.169361 0.109618 0.186878 -0.090546 0.096283 -0.182122 0.123365 -0.030528 -0.039462 -0.009136 -0.239357 0.085379 0.142508 -0.157680 -0.100858 0.143075 -0.105219 -0.103579 -0.152440 -0.077470 -0.248905 -0.026344 0.026166 -0.015290 -0.041696 0.093772 -0.072064 0.057480 0.084425 0.252044 0.039657 0.129550 -0.128772 0.004759 -0.073638 -0.089455 -0.011697 -0.007842 0.073430 -0.011968 -0.042915 0.097444 -0.030846 -0.061264 0.090438 -0.009222 0.158607 0.082344 0.241655 0.195257 0.176343 0.070888 -0.067145 0.001156 0.122704 -0.168478 -0.144952 0.083159 -0.098402 -0.041257 0.068383 -0.023770 0.135481 0.068113 -0.051216 -0.078369 -0.149883 0.138628 -0.138996 0.197443 0.001316 -0.088981 0.096973 -0.041241 0.136515 -0.258292 -0.035016 0.018857 -0.103734 0.232015 0.081829 0.153624 -0.055522 -0.092080 -0.115846 -0.014585 -0.187639 -0.039452 0.028581 -0.061753 0.020859 -0.122287 0.165662 -0.074813 0.009375 -0.133253 -0.131864 -0.100092 -0.098530
-halten -0.033967 -0.092944 0.056983 -0.054059 -0.003547 0.034098 -0.069479 -0.002353 -0.127951 -0.056136 0.015886 -0.077139 0.093922 -0.094721 -0.055629 -0.036116 0.045963 0.155841 -0.037653 -0.030834 0.104218 -0.070853 -0.019189 -0.177785 -0.091378 0.126535 -0.024243 0.046012 0.132302 -0.075371 0.083820 0.009876 0.075944 -0.108787 0.061667 -0.104858 0.122344 0.012889 -0.078947 0.071062 0.067729 -0.080023 -0.017344 -0.010546 0.115407 -0.057189 -0.049868 0.081316 -0.056041 0.037803 -0.004668 -0.089480 -0.028869 0.102712 0.036568 -0.000017 -0.008287 -0.009750 -0.047113 0.028418 0.084613 0.128145 -0.072735 0.047092 -0.142477 0.022658 0.078183 0.108881 0.141272 0.060601 0.051374 0.110246 -0.035636 0.081914 0.025530 -0.096380 0.085674 -0.108172 0.024193 -0.135419 -0.024664 0.006089 0.062455 0.074154 0.010269 -0.024527 0.039060 0.020219 0.126675 -0.021547 0.022628 0.087787 -0.048461 -0.064702 -0.077455 0.023865 -0.005526 -0.024724 0.060412 0.070205 0.101285 0.043856 0.121356 -0.019969 -0.057338 0.080722 -0.032222 -0.125820 -0.010055 0.097367 0.121755 0.008647 -0.036256 -0.059299 0.013610 -0.032340 -0.088950 0.064166 0.113276 -0.050362 0.071438 -0.007413 -0.043597 0.031609 -0.010681 -0.025159 -0.025477 -0.055093 0.102435 -0.004876 -0.042437 0.033318 0.009258 0.195302 -0.002248 -0.059344 -0.048451 0.034221 0.067393 -0.011211 -0.073147 0.077568 0.113329 0.031945 -0.156386 0.017784 -0.028694 -0.167741 -0.111357 -0.114344 -0.173891 0.161981 -0.049531 -0.031390 0.084408 -0.047180 0.024485 -0.158517 -0.062468 0.125269 -0.033979 0.035300 -0.117420 -0.002660 -0.037103 -0.009141 0.046247 -0.110508 0.021365 -0.020262 0.002539 -0.030108 0.149782 0.105354 0.148624 -0.174248 0.015701 0.069296 -0.053197 0.125127 0.001281 0.025172 -0.016563 0.040555 0.013343 0.060737 0.131443 -0.011719 0.025708 -0.020362 0.053451 0.038943 0.068470 -0.056678 -0.046721 -0.027734 -0.167462 -0.121130 0.188228 0.014680 -0.086438 -0.108556 -0.013072 0.063225 -0.056492 0.024180 0.036607 -0.100999 -0.086269 -0.003848 -0.069759 -0.001424 -0.038397 0.121529 -0.050851 -0.021544 0.110534 -0.043616 -0.105882 -0.021727 0.050993 0.014383 -0.019024 -0.111829 0.050291 0.046536 -0.002394 -0.020123 0.039303 -0.130646 0.115508 0.030851 0.110643 0.003982 -0.017857 0.004355 0.044236 0.037197 -0.031672 0.004926 0.085981 -0.060443 0.061039 -0.064728 -0.041833 -0.021466 0.057095 0.156585 -0.055980 0.079685 0.050733 0.075259 -0.008274 0.035381 -0.017295 0.001888
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-Anwendung 0.049365 0.035234 -0.110389 -0.129129 -0.025391 0.052528 -0.016615 -0.013842 -0.026609 0.160211 -0.160485 0.040810 -0.101957 -0.039194 -0.233474 0.225864 -0.097576 0.047890 0.063798 0.105986 0.015401 -0.061460 0.077389 -0.005578 0.030978 -0.072436 0.019696 -0.071104 -0.045983 -0.002167 0.170744 -0.029457 0.205528 -0.023292 0.097136 0.228622 0.006221 -0.017972 -0.016858 0.062903 0.107106 -0.045340 0.134701 -0.136146 0.033012 0.214036 0.031549 -0.078343 0.040857 -0.005843 -0.089732 -0.084474 0.076047 -0.015546 -0.076359 -0.088480 0.022262 -0.020013 -0.080818 0.004495 0.131745 0.061714 0.036387 0.112140 0.045248 0.019093 -0.125503 0.040702 -0.060427 -0.098334 0.020173 0.041909 -0.080592 -0.117297 -0.043987 0.016301 0.065321 -0.083208 0.158796 0.171895 0.033370 -0.001346 0.034101 -0.062943 0.046764 0.083911 0.143279 0.033203 -0.095299 -0.078314 -0.069499 -0.080524 -0.106442 0.042725 0.035567 -0.139672 -0.118411 -0.037719 0.072466 -0.074628 -0.142418 -0.044039 -0.104760 0.106641 -0.153982 0.097507 0.065193 -0.017885 0.155580 0.144698 -0.022421 -0.148627 0.103086 0.099404 -0.070026 0.094894 0.059373 0.267946 -0.201866 0.116506 0.027142 0.000178 0.210254 -0.129978 -0.017193 0.046046 -0.017157 0.057623 -0.074166 -0.135738 -0.090845 -0.022196 0.006703 -0.032049 -0.047926 0.059638 -0.013169 0.227976 -0.173469 0.147559 0.021359 -0.139528 -0.174221 -0.005832 0.069085 -0.281103 -0.016918 -0.114766 0.184205 0.066087 0.081472 0.020526 0.077789 -0.131062 0.018350 0.076311 0.132993 0.012185 0.048632 0.136901 -0.040110 -0.075312 -0.021872 -0.026393 0.137316 -0.084614 0.048890 0.090164 0.082209 -0.000737 0.108380 0.055621 0.031635 -0.386766 -0.014103 0.216510 0.026243 0.108114 0.022926 -0.099367 -0.026197 -0.243400 0.003637 -0.120319 0.063166 -0.032394 -0.040642 -0.066862 0.087098 -0.046606 -0.103047 0.007361 -0.198296 -0.002532 0.211476 -0.038679 0.186025 0.298327 0.198155 0.145030 0.085052 0.011536 0.034393 -0.109198 0.085551 -0.088663 -0.006038 0.021022 0.196934 -0.249998 -0.075475 -0.021506 0.066492 -0.042208 0.220143 -0.166156 -0.071836 -0.130955 -0.083374 0.236827 -0.111450 -0.142957 -0.040944 0.165191 -0.012444 -0.186938 -0.081177 0.138145 -0.093018 -0.083293 -0.091782 -0.236121 0.042759 -0.066875 0.010291 0.050951 -0.231661 -0.215249 0.005791 -0.021651 0.010918 0.146335 0.108900 -0.003752 -0.080476 0.048271 -0.153860 0.001465 -0.131145 0.032235 0.023719 0.042230 -0.020053 0.026170 -0.148907 0.041662
-Außerdem -0.011431 -0.171619 0.201963 -0.060099 -0.067021 -0.012905 -0.008333 0.079446 -0.096477 -0.134078 -0.005731 -0.139279 -0.069822 -0.005138 -0.083102 -0.005602 0.235751 -0.028301 0.077294 0.219808 0.069091 0.121339 0.050348 -0.141562 0.024578 -0.224172 -0.087365 -0.068034 -0.119097 0.106094 -0.057450 -0.012677 0.049593 0.085278 0.045695 -0.179262 -0.151874 -0.004764 -0.015594 -0.127295 -0.040729 -0.038771 0.110788 0.105802 -0.050893 -0.179674 0.073024 0.070413 -0.145175 0.083748 -0.070314 0.075742 -0.008224 0.046910 -0.012673 -0.034525 0.074584 -0.042917 -0.144577 0.044850 -0.017637 0.182330 -0.109560 -0.018694 -0.044717 -0.065557 0.027435 -0.035635 0.024995 -0.000657 -0.045905 0.076925 0.106419 -0.027911 0.140096 0.091684 0.020301 -0.043830 0.109103 -0.093465 -0.110987 -0.135460 -0.078853 -0.017762 -0.222632 0.047294 0.085683 0.047177 -0.012367 0.123031 -0.122187 0.047224 0.226576 0.156234 -0.090625 0.056933 -0.044236 0.064627 0.150859 -0.021543 -0.039362 0.022147 0.120968 -0.196948 0.048345 0.040448 -0.058632 -0.150061 0.062853 0.163881 0.158266 0.104124 0.046016 -0.152410 -0.049380 0.196824 -0.144747 0.015388 0.104329 -0.051823 0.231462 0.057165 -0.044113 0.214729 0.033030 0.008567 0.171504 -0.083045 0.138636 0.003516 -0.084069 0.186509 0.110384 -0.038925 0.064122 0.088408 0.016149 -0.017269 -0.142430 -0.030755 0.133157 -0.058626 -0.094492 -0.025565 -0.106570 -0.046421 -0.013620 -0.150559 -0.047128 0.028478 -0.106721 0.010876 -0.028021 -0.019999 0.171390 -0.151532 0.048143 -0.137723 0.070776 0.053155 -0.047901 0.073287 -0.005514 -0.019945 0.070885 -0.044003 -0.030006 0.051151 0.049416 0.062088 0.017581 -0.051334 0.125829 -0.186697 -0.028292 -0.193520 -0.169573 -0.044285 0.022818 0.093457 0.060825 0.093753 0.099820 0.127943 -0.041230 -0.073350 0.083492 0.126642 -0.307034 -0.079062 0.148218 -0.209109 -0.159462 -0.002570 -0.167822 0.192827 -0.031482 0.046898 0.065967 0.041753 -0.219512 -0.057795 -0.204551 -0.125600 0.082448 0.226108 -0.011218 0.019375 0.222976 0.116478 -0.194102 -0.045527 -0.137364 -0.074759 0.081740 0.000481 -0.190476 0.025951 -0.156277 -0.017164 0.057496 -0.060695 -0.040333 -0.175494 0.000718 -0.110205 0.069226 -0.041201 -0.075391 0.108824 -0.023009 0.144016 -0.087684 -0.181567 0.132835 0.052731 0.122231 0.105650 0.123701 0.137844 0.088365 0.180348 -0.076847 -0.053005 -0.057421 -0.087710 0.029430 0.118484 0.050723 -0.171483 0.024005 -0.051780 -0.044180 0.015648 -0.029930 0.004874
-Demokratie -0.060002 0.144924 -0.130092 -0.073338 -0.113502 0.088992 0.216239 -0.076374 0.137266 -0.091277 0.100737 -0.053176 0.075186 -0.063112 0.152926 0.044406 0.020085 -0.042776 0.039281 -0.001246 0.112253 -0.034870 0.212192 -0.225003 -0.004406 0.085812 -0.019294 -0.002386 0.130830 0.087345 -0.139273 0.090729 0.024449 -0.057901 0.140897 -0.146236 -0.072314 0.265145 -0.144375 -0.128894 -0.174627 -0.199317 -0.081637 0.093573 -0.041346 0.148620 0.058200 0.133202 0.205274 -0.182415 0.129672 -0.032664 -0.015119 0.189235 0.104606 -0.064180 -0.078519 0.015442 0.196390 -0.109771 0.090046 -0.081721 0.227182 -0.039467 -0.000515 -0.039322 -0.139109 0.087097 -0.022278 -0.115677 0.149040 -0.166762 -0.047996 0.054364 0.009758 -0.077085 -0.048390 0.122783 0.230139 0.129706 -0.017732 0.043897 0.143945 -0.015448 0.068215 -0.085537 0.055794 0.158857 0.104716 -0.182154 0.187587 0.214132 -0.042590 0.144239 0.140244 -0.215615 -0.142445 0.009986 0.029649 0.103983 0.082367 -0.108244 0.019219 0.044770 0.161794 -0.051490 0.045872 0.063181 -0.037726 -0.089646 -0.097739 0.201633 0.204186 0.157778 -0.050046 -0.148498 0.036098 -0.000190 -0.106219 -0.060788 -0.199497 0.109404 0.029273 -0.091620 -0.073877 -0.166449 0.158007 0.003601 0.258301 0.018066 -0.060537 -0.026442 -0.033523 0.085378 -0.032360 -0.011529 0.123791 -0.144812 0.013714 -0.047501 0.148278 -0.068646 -0.019606 -0.076931 0.079447 0.069589 -0.031054 -0.154759 -0.000973 0.088141 0.052596 -0.115537 0.050357 0.009319 -0.168579 -0.011986 -0.102276 -0.123677 0.073617 -0.105032 0.212559 0.065520 0.001258 -0.102909 0.019505 0.040980 -0.028447 0.143941 0.005475 -0.017399 0.120939 -0.180393 -0.020793 -0.018582 0.105624 -0.001677 0.033002 0.091267 -0.100740 -0.087180 0.195437 -0.030781 0.078633 -0.168230 -0.050133 0.049111 -0.006223 -0.114864 -0.053050 -0.127152 -0.030607 0.022984 -0.005445 -0.024336 0.078191 -0.028659 -0.028204 0.154498 -0.159979 -0.091116 0.114914 0.053838 0.114028 0.039783 0.011117 0.021244 -0.194811 0.003494 -0.099815 -0.029747 -0.026933 0.153055 0.206016 -0.031463 0.132056 -0.115972 -0.123734 -0.076807 -0.104534 -0.082811 -0.123103 -0.159617 0.010155 -0.035472 -0.062829 0.089050 0.037668 0.154102 0.018102 -0.040830 0.017539 -0.080356 0.044356 -0.003629 0.196690 -0.004294 0.121778 0.016701 -0.000305 -0.138010 0.046478 0.014511 -0.023661 0.106384 0.015333 0.093780 0.054609 0.050917 0.140997 -0.053609 -0.083359 0.175254 0.175272 0.226381 0.049864 0.038692
-Förderung -0.115300 -0.050490 0.040718 0.036794 0.134961 0.112181 0.070739 0.045699 0.022084 0.073276 -0.066972 -0.145188 -0.006520 0.092219 -0.007018 0.014888 0.018254 -0.039606 0.060535 -0.057971 -0.088560 0.060476 0.164723 -0.152937 -0.068984 0.069977 0.157397 -0.124021 0.008749 -0.029464 -0.153196 -0.019933 0.090392 0.080271 0.076639 -0.082947 0.018423 -0.032629 -0.004387 0.051123 0.016562 -0.033472 0.056285 -0.030108 0.021489 -0.018009 0.003540 -0.004787 0.014362 0.047037 -0.004367 0.011256 0.004412 0.096436 -0.068608 -0.028882 -0.041328 -0.044325 -0.049584 0.143760 -0.147574 0.079335 0.099938 0.088230 -0.112529 -0.060286 -0.040023 -0.086535 0.037264 -0.030480 0.113691 -0.133490 -0.032195 0.099201 -0.056528 0.094603 -0.065589 0.064632 0.072249 0.097043 0.061539 0.098783 -0.117919 -0.080777 0.002997 0.093646 -0.024045 0.088227 0.080799 -0.075531 0.072732 -0.002805 -0.105740 -0.058041 0.124278 0.054189 0.112693 -0.150947 -0.006942 -0.104434 -0.052538 -0.059774 -0.019071 -0.073580 -0.061327 0.079104 0.105621 -0.086595 0.145087 0.015771 0.133009 -0.092812 -0.007209 0.078472 0.116973 0.193809 0.103377 -0.039697 0.115573 0.028534 -0.011979 0.042832 -0.057702 -0.071083 -0.075475 -0.002495 0.097146 -0.019664 0.160416 -0.021000 0.044556 0.105048 0.133709 0.037572 0.111219 0.082470 -0.139085 0.259226 -0.009185 0.104590 -0.053813 -0.083009 -0.087805 -0.114939 -0.045920 -0.044436 0.041530 -0.015197 0.134672 -0.057998 0.067901 0.075271 0.097786 0.022738 0.191747 0.108649 0.034033 0.033923 -0.060484 0.169904 0.099585 0.085326 0.085468 0.045569 -0.010988 -0.098118 -0.035411 0.148001 0.076338 0.119893 0.007528 0.090982 -0.131852 -0.053544 -0.217284 0.086712 0.094695 -0.096497 0.035331 -0.049910 0.085080 0.055323 -0.054239 -0.026263 -0.017432 0.158874 -0.119020 0.035677 -0.010145 -0.135318 -0.111782 -0.082449 -0.003476 -0.061836 0.108154 -0.142706 -0.106814 0.094934 0.208762 -0.134239 0.134794 -0.077231 -0.066163 -0.050862 0.006596 -0.050717 -0.019180 0.070475 0.067307 0.158353 -0.021104 0.108415 0.056539 -0.083501 0.049926 -0.005057 -0.190783 -0.015702 0.053442 -0.048048 0.006926 -0.004745 -0.042058 0.153618 0.128700 -0.042494 0.106419 0.017440 -0.009176 -0.082073 0.020837 0.007613 -0.085312 0.066034 0.072653 0.003010 -0.045053 -0.114173 0.066087 -0.069390 -0.060541 0.105540 0.044329 -0.051895 0.154573 0.126550 -0.107248 -0.020295 0.076708 0.040460 0.036601 0.034464 -0.080121 -0.098987 -0.022200 -0.058030
-Mal 0.051279 0.071703 0.023476 -0.109017 -0.063176 0.010929 0.108356 0.113776 -0.054462 -0.367558 0.065517 0.058364 0.062437 -0.060195 0.179284 0.172015 0.273810 -0.239187 -0.009034 -0.081950 0.116402 -0.113775 -0.032124 0.086278 0.260351 -0.150347 0.021368 0.043722 0.120850 -0.018492 -0.015531 -0.038194 -0.158486 -0.038448 -0.023455 -0.047345 -0.050270 0.125253 0.048174 -0.040485 -0.069031 -0.328159 -0.016757 0.147505 -0.011866 -0.012788 0.066775 0.056979 -0.129116 0.106597 0.049726 0.118836 -0.019426 0.060458 -0.077015 -0.076928 -0.058049 -0.142253 0.055521 0.031643 0.111722 -0.022145 -0.185022 -0.179202 0.007664 0.118033 -0.093608 0.173575 -0.097634 -0.228856 0.085043 -0.005390 0.103921 -0.002152 0.279156 -0.085187 -0.106023 0.080371 0.223006 -0.120494 0.146169 -0.075834 -0.046119 -0.240938 -0.049779 0.201208 0.075493 0.057242 0.100313 -0.065811 0.195821 0.176096 -0.055084 -0.018486 0.260988 -0.017368 0.083186 0.014936 -0.011573 0.146039 -0.159937 -0.088752 -0.015536 0.188232 0.023062 -0.140428 -0.087178 0.126797 -0.013322 0.113792 0.013750 0.001526 -0.180770 -0.010201 0.063427 -0.062739 -0.236778 0.017997 0.132502 -0.091234 0.035508 -0.147699 -0.074221 -0.021254 -0.184334 0.069476 -0.047785 -0.177733 0.068537 -0.112141 -0.070684 0.098187 0.185016 -0.045000 0.221207 -0.018427 0.093844 -0.132670 0.122781 -0.154615 0.056352 0.000578 -0.009251 -0.204196 -0.147226 0.145685 0.110050 -0.096796 0.033233 -0.095385 -0.097541 -0.024459 -0.192913 -0.148885 -0.323681 0.023096 -0.193689 -0.076292 0.160609 0.110885 0.060235 -0.133199 -0.059452 -0.053790 0.058635 -0.019144 -0.108149 0.027366 -0.144980 -0.205053 0.010918 0.112125 -0.134194 0.068328 -0.101470 0.101717 0.173326 0.192465 -0.010403 0.193976 -0.047529 0.193923 -0.117289 0.042113 0.047439 -0.058605 -0.063645 0.174763 -0.057470 -0.032141 -0.069613 -0.145577 -0.132226 -0.022787 0.052745 0.226720 0.019286 -0.031234 -0.038368 -0.069187 -0.051339 0.062361 -0.118105 -0.013078 0.146825 0.096450 -0.062582 0.211576 0.028649 -0.064643 -0.042321 -0.095158 -0.067421 0.011129 -0.081479 0.022250 0.020650 -0.074419 -0.078289 -0.006139 -0.009454 -0.114270 0.119544 0.067303 0.066441 0.035735 0.017394 -0.128925 0.156749 -0.047999 0.223629 -0.031476 0.000632 -0.024624 0.045551 -0.167196 0.239815 -0.060348 -0.001517 -0.101402 0.043609 -0.099781 -0.208668 0.092267 -0.147200 0.148673 -0.101035 0.042205 0.090186 -0.086409 0.127251 -0.090779 -0.029036 0.257880 0.059012 0.121536
-Mitglieder -0.081511 -0.061453 0.049353 0.107671 -0.008307 -0.088982 -0.098733 0.099962 0.084187 0.027252 -0.243338 -0.114059 -0.026511 0.024584 -0.064617 0.101147 -0.015049 -0.011199 -0.075152 0.017653 0.002835 -0.069572 0.109512 -0.001594 0.007765 0.087438 -0.113311 -0.072753 0.036323 0.082035 0.036331 0.003783 -0.016862 0.073848 0.020284 -0.107228 -0.088508 0.072023 -0.082206 0.034613 -0.084173 -0.022789 -0.056464 -0.075845 0.055720 -0.078034 -0.023731 0.109785 0.020542 0.004759 0.002402 0.019937 -0.035458 0.084915 -0.010246 0.060032 -0.027280 -0.175838 0.135843 0.025017 -0.011467 0.088991 -0.072360 -0.160441 0.036268 -0.003090 0.049495 0.012667 -0.030986 0.023344 0.058936 -0.148339 0.066001 -0.009497 0.101487 0.077366 0.102333 -0.022833 0.057724 0.076571 -0.025914 0.105796 -0.127619 -0.088394 0.040956 -0.111716 -0.021522 0.053524 0.056373 -0.054080 -0.087581 -0.035670 -0.059027 -0.047287 0.024221 -0.082749 0.003581 -0.131786 -0.019653 -0.089157 0.032605 -0.034622 -0.053049 0.033959 0.028296 0.024948 -0.154897 0.037565 -0.146128 -0.086385 -0.123569 0.009629 -0.059783 0.098939 -0.028812 -0.085391 0.046784 0.021306 -0.031909 0.016492 0.002573 -0.033186 -0.117132 0.003981 -0.065130 -0.019973 -0.033619 -0.026034 0.057703 0.042632 0.013396 -0.039076 -0.047649 0.185305 -0.050141 0.080902 0.061921 0.010786 0.087069 0.052038 -0.027691 0.023520 0.043766 -0.109225 0.051227 0.025358 0.045332 0.008231 0.102650 0.081005 0.008782 -0.068413 0.070828 0.127077 -0.162866 -0.023975 -0.129579 -0.069805 -0.059607 0.068733 0.134551 -0.016343 0.005920 0.044656 0.072408 -0.103929 -0.062751 -0.061326 -0.153474 -0.060082 0.096687 0.045041 -0.095649 0.180992 -0.073691 0.085173 0.006657 0.072008 0.164712 -0.176538 0.000522 -0.074514 -0.037294 -0.017523 -0.160629 0.093125 -0.050883 0.106231 -0.065368 -0.051063 -0.020769 -0.027226 -0.169235 -0.014776 -0.000682 0.116249 0.073407 -0.004481 -0.141833 0.039865 -0.031567 -0.029167 -0.143284 0.030891 0.016734 0.058463 -0.005032 0.022416 -0.134191 0.190207 0.026338 0.008560 -0.104555 -0.103605 0.096834 -0.015879 0.111377 0.014508 0.055088 -0.106339 -0.053623 0.026597 -0.110160 0.087594 -0.117354 0.002021 -0.076732 -0.030211 -0.087708 -0.045409 0.110657 -0.102722 0.022989 -0.073657 0.144641 0.078079 -0.041599 -0.102799 -0.030381 -0.016138 -0.122200 -0.038902 -0.006654 -0.079572 0.005632 0.063541 0.002511 0.062473 0.062334 0.036021 -0.023938 0.102667 -0.072374 0.076538 -0.105084 -0.077596
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-Gesundheit 0.153925 -0.025746 -0.063399 -0.120960 -0.101196 0.068267 0.125929 0.166954 0.016418 -0.018539 0.123044 -0.156212 0.110123 0.050275 0.067335 -0.213825 0.140365 0.029897 0.083720 -0.062066 -0.078718 -0.124180 -0.052884 0.006240 0.032342 0.028774 0.177315 0.002562 0.101637 -0.004415 -0.093130 -0.030171 -0.058683 -0.142302 0.035452 0.114738 0.096360 0.147229 -0.072040 -0.036611 0.050478 -0.207792 -0.005942 -0.087118 -0.076367 -0.080899 -0.071106 0.097619 0.049134 0.093813 0.107588 0.066555 -0.070451 0.019600 -0.073601 0.094533 -0.096162 0.053268 -0.063815 -0.028322 -0.169501 0.006606 -0.107736 -0.023937 0.067742 -0.069754 0.091449 0.059273 -0.001437 -0.175394 0.079164 0.059002 -0.011413 0.067693 0.099540 0.071505 0.097681 -0.070014 0.034542 -0.182129 0.025360 0.001206 -0.071331 0.064858 0.026427 0.028096 -0.250942 -0.114949 0.129279 -0.120804 0.196699 -0.080235 0.126838 -0.131669 0.168291 0.173202 0.125365 -0.043632 -0.003658 -0.013967 -0.135317 -0.135782 -0.050411 -0.062761 0.050265 -0.156324 0.021976 -0.033179 -0.126430 0.082439 0.140720 -0.116498 -0.099958 0.008094 -0.161050 -0.015943 -0.001967 -0.070286 0.129816 -0.139824 -0.092516 0.099039 -0.030095 -0.053968 0.032300 0.014266 -0.103600 -0.057475 -0.061899 -0.001017 0.232672 -0.108830 0.189756 -0.035684 0.117143 -0.068653 -0.050563 0.004932 0.046293 -0.136698 0.048074 0.007985 -0.098133 0.165640 0.133106 -0.009559 0.032770 -0.086907 -0.002306 -0.038354 -0.047692 0.003594 -0.042826 -0.138555 -0.036508 -0.071900 0.021792 -0.125680 -0.193696 -0.113731 -0.185213 -0.180699 -0.070353 0.058374 0.032040 -0.114345 0.057264 0.143171 -0.094103 0.034482 -0.045170 0.077576 0.042148 0.022427 0.152085 0.155710 -0.041284 0.057128 -0.143431 -0.058938 0.021779 0.157792 0.092149 -0.016652 -0.198846 -0.139332 -0.082571 0.007406 -0.069232 -0.052638 0.038422 -0.071725 -0.082010 -0.005885 0.069713 0.085727 -0.125796 -0.267894 -0.011722 -0.077133 0.035313 -0.023948 -0.108175 0.015026 0.077712 0.156451 -0.041094 0.080861 -0.140189 0.183076 0.095246 -0.192091 -0.173908 0.090685 -0.118171 0.045517 -0.029271 -0.066217 0.036630 0.108076 0.092435 -0.084710 0.111053 -0.039631 0.215413 -0.048363 -0.077645 -0.055240 0.036567 0.035938 0.179407 -0.044761 0.067806 -0.009725 0.063174 -0.086076 -0.026433 0.147301 -0.033041 0.018368 0.107594 0.049245 -0.052440 0.028654 0.095563 0.023412 -0.103882 -0.180472 0.008007 0.028247 0.000364 0.012663 -0.110511 0.060179 -0.002290 -0.143176
-Krise 0.092148 -0.064695 -0.066307 -0.004951 -0.099256 -0.009488 -0.122776 0.149124 -0.057573 0.042899 0.068127 -0.004596 0.113605 -0.064509 0.010866 -0.127689 -0.021617 -0.096608 -0.077641 0.046873 0.090814 -0.084511 0.160916 0.015909 0.023134 -0.000176 -0.100112 0.001698 0.211738 0.069387 0.067951 -0.015978 0.014207 -0.034064 -0.111230 -0.070295 -0.148754 0.129105 -0.162737 -0.098608 0.002527 0.046198 -0.031026 -0.045435 -0.068858 -0.075432 0.058789 -0.181138 0.067093 -0.014350 -0.086654 -0.149837 -0.188654 -0.063927 -0.009005 -0.024012 -0.008988 0.000082 0.001228 -0.016567 -0.124661 -0.055565 -0.037332 0.004756 -0.150794 -0.097972 -0.050365 0.158619 -0.052029 0.063132 0.038716 -0.047567 0.104759 0.112517 0.049490 0.075386 -0.102897 0.068831 -0.099973 -0.049882 0.074914 0.077040 -0.034466 -0.013221 -0.128271 0.092724 -0.077406 -0.018194 -0.025390 -0.106330 -0.051481 0.062193 0.078970 -0.045173 -0.003036 0.164235 0.032644 -0.016884 0.041774 0.048292 0.144131 -0.115068 -0.042672 0.010566 -0.032499 0.088702 -0.009464 -0.133902 -0.061923 0.143021 0.108843 -0.055955 -0.087687 0.128265 -0.045693 -0.041484 -0.084595 -0.080513 0.006680 -0.190140 -0.114207 0.080271 -0.027347 0.104012 0.032882 -0.062365 0.019052 0.072851 0.046900 0.061487 0.229551 0.035192 -0.025823 0.123955 -0.120453 -0.027775 -0.026044 0.056864 0.069399 -0.097712 0.096790 0.141324 0.072341 -0.054565 -0.022651 -0.085933 0.081074 -0.018763 -0.130511 0.058494 0.006336 0.084389 -0.159738 0.068036 -0.034549 -0.014614 0.050507 -0.012466 -0.122643 0.034284 0.093314 0.033523 -0.054009 0.071045 -0.004002 0.038619 0.111565 -0.032417 -0.012411 -0.028858 -0.071709 0.012289 -0.087104 0.057566 0.139022 -0.077614 0.018795 -0.103188 -0.016445 -0.045096 0.159088 0.020063 -0.026940 -0.083735 0.012905 0.012381 -0.085181 0.092077 -0.104051 -0.119819 0.061049 0.066814 0.042695 -0.019614 0.014180 -0.144671 -0.005895 -0.013399 0.063474 -0.156871 -0.024803 -0.006634 -0.071115 -0.113749 0.020327 0.027186 0.091540 -0.129206 -0.030019 0.145666 0.100602 -0.092644 0.079184 0.041035 -0.021474 -0.022798 -0.015106 -0.030684 -0.140319 0.142072 0.036507 0.187276 0.046403 -0.154277 0.102257 0.193866 0.083074 -0.086476 0.121182 0.014840 0.006248 0.014517 -0.005678 0.071498 -0.118100 -0.134366 0.058438 0.017357 -0.019287 -0.025812 0.053073 -0.114505 -0.060317 0.025764 -0.127577 -0.098494 0.051736 0.027306 0.098451 -0.026512 0.057167 0.027488 -0.032530 0.014791 0.037844 -0.100214
-Richtung 0.031100 0.019060 -0.090637 0.105333 -0.204171 0.173533 -0.028433 0.077736 -0.075143 0.081049 0.139770 0.156263 0.102313 -0.001051 -0.154289 -0.100070 0.147657 0.111397 0.251677 0.133228 0.019530 -0.022462 -0.089068 0.009650 0.102778 0.078298 0.078361 -0.029675 0.000365 0.067941 -0.197834 -0.009491 0.068093 -0.066326 -0.017215 -0.002761 -0.095008 -0.131795 0.077999 -0.144566 -0.070544 0.013841 -0.078791 -0.015723 0.171513 0.060719 0.126213 0.178742 0.000388 -0.057827 0.079539 0.003364 0.086028 0.123947 -0.027065 -0.115834 0.051634 0.042004 -0.027642 -0.027771 0.061143 -0.001075 0.062852 0.107599 0.136542 0.038886 -0.046347 -0.083513 -0.047848 0.144122 -0.064127 0.128656 0.010758 -0.004978 0.067431 -0.114645 -0.155700 0.006290 -0.103068 -0.028595 -0.044238 0.025062 0.055798 -0.076723 0.113768 -0.010369 0.026124 0.156399 0.057376 -0.031673 0.086744 -0.002104 -0.064801 0.141187 0.147707 -0.079480 0.041492 0.148019 -0.127161 -0.095239 -0.129114 -0.203746 0.070338 0.179773 0.074727 -0.030476 0.069166 0.089372 0.014082 -0.057876 -0.057028 0.152566 -0.023121 -0.015844 0.024676 0.038697 -0.114301 0.087605 -0.205913 0.034062 0.041829 0.077749 0.013775 0.031161 0.073676 0.083197 -0.118620 0.096065 -0.107291 0.080320 -0.189165 -0.132349 0.083445 0.048552 0.021153 0.027385 -0.012185 0.055513 -0.047812 -0.032013 -0.054018 0.050212 -0.143707 0.019041 -0.047338 -0.090394 0.037554 0.081483 0.021561 0.079654 -0.068641 -0.110191 0.019405 -0.010031 0.070120 0.067923 -0.104407 -0.044781 0.120614 -0.032809 -0.063919 0.073677 -0.067969 -0.091805 -0.070095 0.000892 -0.116681 0.120574 -0.062384 0.135153 -0.002883 0.013980 0.053449 -0.120994 0.108591 0.120882 -0.088507 0.041918 -0.114119 0.174811 0.009676 0.038388 0.008924 0.010991 -0.123841 -0.090832 -0.101320 0.054024 0.095489 -0.015275 -0.077195 0.047828 0.008342 0.079432 -0.035371 0.008109 0.053697 0.040155 0.085389 0.069991 0.069681 -0.024131 0.048033 -0.009776 -0.029633 -0.099611 -0.069592 0.047576 -0.040775 -0.114910 -0.082287 -0.024373 0.043600 0.053552 0.019117 -0.064139 0.086573 0.035580 -0.024340 0.050797 -0.007903 -0.134815 -0.007905 0.008210 -0.033376 -0.054155 0.010241 -0.067280 0.013729 -0.116988 -0.038724 -0.029920 -0.020333 -0.043798 0.156003 0.011225 -0.015737 -0.043821 -0.020569 -0.088997 0.018231 0.025269 0.013763 0.040158 0.174371 -0.002503 0.156875 -0.130606 -0.065118 0.075082 0.101168 0.040406 -0.072532 -0.040693 -0.120269 0.040666
-Russland -0.021054 0.125732 0.046419 -0.078921 0.024579 0.064584 -0.057119 0.061127 -0.027549 0.036408 -0.189151 0.031083 -0.141568 -0.137259 0.000090 0.065145 -0.027521 0.018167 0.057780 -0.040531 0.068486 0.039901 0.047963 -0.036732 0.005002 -0.034055 0.110207 0.079792 -0.067636 0.046333 -0.095710 -0.089732 0.007051 0.135655 0.065066 0.048911 -0.047273 -0.067084 -0.061331 -0.051473 0.176233 -0.054654 -0.032053 -0.146992 -0.027362 -0.046906 -0.205390 0.123183 -0.006715 -0.077070 -0.001189 0.141344 0.036579 -0.158504 -0.065633 0.032816 0.134056 -0.132274 0.143008 -0.027084 -0.078165 -0.078826 -0.148715 0.124279 0.111327 -0.246663 0.164638 -0.132588 -0.239313 -0.092728 0.118935 -0.064500 0.049813 0.194986 -0.159411 -0.051290 -0.062917 0.215802 -0.043055 -0.160604 0.140564 0.054725 0.057925 -0.160016 0.097185 0.040152 0.096888 -0.004979 0.049647 -0.185902 0.095356 -0.048579 -0.030938 -0.062822 -0.014893 -0.039352 0.091095 -0.139777 -0.125313 0.001100 0.094466 -0.053136 -0.074802 0.180676 0.036941 0.065434 -0.009568 0.163907 0.004259 -0.040414 0.112057 -0.014699 -0.165513 0.087352 -0.050984 -0.218097 -0.046480 -0.025672 0.197664 0.105074 0.023219 -0.090798 0.090313 -0.048037 -0.012609 -0.065249 0.052220 0.048423 0.107611 -0.026690 0.005143 -0.001635 0.027118 0.014541 0.016315 -0.053201 0.170035 -0.013826 0.100572 0.149726 -0.014671 -0.042789 0.105820 -0.054740 0.228758 0.172835 0.108447 0.162276 0.112842 -0.035632 -0.134058 0.151504 -0.254131 0.239765 0.011552 0.142354 -0.044552 -0.078160 0.052946 -0.061520 0.152511 0.136583 0.009854 -0.025590 0.121546 0.101912 -0.011400 0.157212 -0.083325 0.024587 -0.055271 0.179489 -0.118288 0.254189 -0.034551 0.004501 -0.136563 -0.019583 0.049294 0.036553 -0.069045 -0.061682 0.117717 -0.142597 0.076916 0.113884 0.011135 0.138968 0.001691 0.183060 -0.144745 -0.010490 -0.055638 -0.157317 0.161954 -0.088416 -0.118272 -0.018559 0.046205 -0.053829 0.081782 0.079766 -0.169215 -0.052723 -0.027616 -0.216913 -0.014742 -0.043556 0.036675 0.004385 0.053843 -0.081766 -0.071287 0.072145 -0.165365 -0.124712 0.126006 -0.058020 0.274152 -0.084476 -0.112163 0.059092 -0.012187 0.082028 0.084534 0.057642 -0.002811 0.016830 0.208172 -0.081254 0.158481 -0.135893 0.044536 0.054336 0.103968 0.013442 0.076294 -0.094428 -0.076254 -0.151763 0.055218 -0.026263 -0.182560 -0.073091 0.048730 0.070165 -0.033345 -0.127557 -0.083622 0.131109 0.085297 -0.028238 0.099463 -0.106552 -0.027371 0.012084
-Umsetzung 0.068362 0.212968 0.026952 0.094296 -0.036851 0.022657 -0.109204 0.035534 -0.115751 -0.238498 -0.012320 -0.087169 -0.114772 0.049651 -0.104296 -0.042377 0.287155 -0.132399 0.038528 0.185270 -0.045238 0.204087 -0.039426 0.069674 -0.074326 -0.169495 -0.142032 -0.076155 -0.075901 0.195159 0.330544 0.016545 0.023682 0.091236 -0.141249 -0.179765 -0.163283 0.160083 0.043825 -0.081538 -0.078686 0.062814 -0.040747 -0.011666 -0.033738 -0.260518 -0.061457 0.142790 -0.032031 -0.043667 -0.042335 0.089419 -0.096056 0.134174 -0.009729 -0.057019 0.051811 -0.229717 0.060610 0.100115 0.087863 0.103423 -0.036064 0.024315 -0.184392 0.047805 0.042918 0.059810 -0.035839 -0.041114 -0.036060 0.139748 -0.014817 -0.022694 0.154873 0.030642 -0.040871 0.043961 -0.051393 -0.151459 -0.072958 -0.190250 0.023071 -0.001861 -0.098871 0.064559 0.015359 0.006038 -0.037461 0.064230 -0.121433 0.086347 0.219978 -0.068694 0.006574 -0.066248 -0.035692 0.128126 -0.016360 -0.051388 -0.117753 0.088180 0.129791 -0.126574 -0.024821 0.149902 0.063786 -0.080022 -0.031236 0.152216 -0.021291 0.065352 -0.138351 -0.046285 -0.172358 0.055171 -0.047221 -0.056290 0.065520 0.009933 -0.003514 -0.020925 -0.048401 0.079071 0.096495 0.057164 0.115215 -0.125647 0.003673 -0.011449 -0.000290 0.152775 0.124437 0.181534 0.118255 0.066299 0.092922 -0.037312 0.053119 0.006807 0.250598 0.090617 0.043032 -0.082545 -0.285369 -0.032996 0.154208 -0.091268 -0.212916 -0.010125 -0.088983 -0.011665 -0.083445 -0.055502 0.227316 -0.149852 0.200072 -0.139451 -0.064938 0.109923 -0.004888 0.159566 0.093102 -0.089413 -0.106635 -0.121068 0.075873 0.031100 0.041947 0.080964 -0.013664 -0.014436 0.223869 0.043052 -0.035694 -0.183990 0.039968 -0.111127 0.153636 0.059291 0.028724 0.083833 0.034980 0.016082 -0.057566 -0.120325 -0.125393 0.018117 -0.140307 -0.087539 0.169738 -0.022151 0.011574 0.120376 0.027358 0.077153 0.032284 0.081505 -0.042218 0.122036 -0.031527 -0.116094 -0.123123 -0.081885 -0.005014 0.204829 0.058054 0.031879 0.170211 -0.139431 -0.034728 -0.144316 -0.116207 0.089858 0.082601 0.110402 0.037969 -0.060271 -0.186095 -0.020640 -0.020228 0.060168 -0.166465 -0.131797 0.018041 -0.081525 0.016314 -0.022929 0.004650 0.132520 0.034417 0.006631 -0.069117 -0.200103 0.009653 -0.095810 0.124619 0.168621 0.047809 -0.058061 0.106752 -0.100589 0.181952 0.052820 -0.223320 -0.178226 0.003634 0.086880 -0.018080 -0.058184 -0.040866 -0.132373 -0.118598 -0.035009 -0.149252 -0.037146
-Zentrum 0.028691 -0.081064 0.085913 -0.203194 0.012626 0.076561 -0.099730 -0.017319 0.043294 -0.022545 0.023983 0.044078 0.021064 0.004566 -0.091753 0.069007 0.022557 0.015118 0.001036 0.138515 0.109871 0.091909 -0.107120 -0.102116 -0.038588 -0.113735 0.047305 0.020501 0.017939 0.149544 0.046353 0.066621 -0.030226 0.126004 -0.036872 -0.057453 0.043353 -0.004027 0.117617 0.008673 0.023042 -0.169388 0.161708 0.054396 -0.061058 -0.029260 0.017475 0.016428 0.054795 0.097200 -0.136213 0.082471 -0.014803 0.001109 -0.130549 0.041147 0.028505 -0.059653 -0.129487 0.098793 -0.009544 -0.059336 -0.097890 -0.002277 0.072255 -0.054059 -0.151276 0.054392 -0.026473 -0.051599 0.069601 -0.076419 -0.053017 0.035631 0.054993 0.200797 -0.059212 0.007639 0.075341 -0.088116 0.092748 -0.116936 0.068712 -0.021972 0.036492 0.011164 0.099968 0.063804 -0.219949 -0.000972 -0.055218 0.194879 -0.004015 0.074929 0.020427 -0.054625 0.054342 0.044464 0.190717 -0.028769 -0.084979 0.121961 0.009679 0.043119 -0.189721 -0.097852 0.102381 0.026506 -0.009742 -0.008651 -0.015110 -0.022094 0.047022 -0.072755 -0.113958 0.012787 -0.047680 0.002790 0.007778 -0.058402 0.177385 0.019279 -0.034098 0.054207 0.012185 0.030452 -0.044743 -0.075909 0.038141 -0.223920 0.041795 0.174282 0.016748 0.104430 -0.062947 0.132014 -0.060013 -0.025750 0.033946 -0.074711 0.132905 -0.068203 0.124049 -0.025701 -0.086756 -0.125070 -0.017438 0.109085 0.121709 0.002968 0.136027 0.041554 0.077268 -0.066614 0.086764 -0.043942 0.070157 0.042657 0.173384 0.065956 -0.006016 0.187981 -0.158051 -0.041462 -0.100108 -0.097483 -0.045976 -0.002799 0.262714 0.009204 -0.130550 -0.006355 -0.019818 0.125729 -0.213163 0.015284 0.084841 -0.151875 0.078175 0.006076 0.195117 -0.025185 -0.040421 0.057974 -0.096572 -0.003821 0.129174 -0.136474 -0.005688 -0.109483 -0.102806 -0.137420 -0.171682 -0.088551 0.124615 0.063835 -0.150620 0.010613 0.087892 -0.004186 -0.053750 -0.036457 -0.005345 -0.055486 0.070538 0.164427 -0.010496 0.220611 0.054360 0.197748 -0.176015 0.142267 -0.012864 0.088134 -0.005273 -0.051985 -0.103494 0.002342 0.019021 0.005005 0.159703 0.034249 0.113011 -0.049451 -0.024763 -0.023812 -0.028541 0.021944 -0.042445 -0.019620 0.053263 0.066780 -0.106526 0.007488 -0.010430 -0.030161 -0.014370 -0.078982 0.150583 -0.047187 -0.020155 -0.118910 -0.012819 -0.028794 0.068789 0.025786 -0.082950 0.024543 -0.053880 0.033887 0.035816 -0.131751 -0.094604 0.031856 0.061105 0.070424
-all 0.082221 -0.035978 0.086216 -0.083520 -0.028658 -0.102940 -0.027307 0.006423 0.028111 -0.168553 0.099376 -0.078579 -0.112842 -0.016516 -0.162588 -0.038400 0.127666 0.225903 -0.165788 -0.065222 0.058522 0.100570 0.022947 -0.254112 0.019603 -0.130244 0.017468 -0.044021 0.018836 0.053474 -0.081011 0.151600 0.044446 0.031300 -0.050534 -0.006997 0.048899 0.177020 0.037419 -0.000734 0.029289 -0.087099 0.054202 0.203250 -0.116902 -0.215644 -0.123006 -0.060087 0.026608 0.099182 -0.027714 0.083962 0.010017 -0.063482 -0.010789 0.087215 0.089971 -0.049641 -0.181834 0.015441 -0.061637 0.028361 0.012364 0.066021 -0.028845 -0.053762 -0.161093 0.048117 -0.031351 -0.125049 -0.020500 -0.170684 0.043013 0.230598 0.119798 -0.096183 -0.018931 -0.029101 -0.043551 0.018277 0.123956 -0.179339 -0.191838 -0.024456 0.095274 0.008404 -0.042898 -0.003708 0.030723 -0.046618 -0.092357 -0.015089 0.060182 -0.070939 0.000392 -0.008851 0.093913 0.112403 0.094131 -0.024978 -0.005859 0.060364 0.180391 0.119321 -0.017518 0.032140 0.078208 -0.002497 -0.126854 0.107228 0.139713 0.088849 -0.239452 0.111717 -0.135604 -0.095618 -0.021677 0.006062 0.215602 0.065692 0.239096 0.125057 -0.061885 0.124062 0.175619 0.116089 0.109870 -0.007566 -0.091163 -0.058430 0.034122 0.132658 0.080552 0.131409 0.017873 0.150061 0.054860 0.052740 0.143544 -0.021940 -0.050223 0.153645 0.198148 -0.003634 -0.217633 0.048345 -0.103580 0.066418 0.108691 -0.015488 -0.043071 0.124077 0.079069 0.058461 0.053837 -0.193225 0.262974 -0.096554 -0.113460 0.043278 -0.117605 0.028774 -0.062359 0.013043 0.067179 -0.089527 0.194254 0.005213 0.077261 -0.093818 -0.079905 -0.009881 0.011783 0.051348 -0.200914 -0.113108 -0.142063 -0.154009 0.083836 -0.016439 0.033490 0.109843 0.113368 0.032591 -0.145753 0.004924 0.125928 0.099199 -0.004835 0.001515 0.033752 -0.205965 -0.002315 -0.168114 0.175514 0.152835 -0.135718 -0.144239 0.008087 -0.036121 0.085580 0.116576 -0.124297 -0.025168 0.005476 0.018660 0.088032 -0.025101 0.034980 -0.068339 -0.163757 0.020147 0.003018 -0.064233 0.035983 0.106596 -0.098789 -0.104628 -0.150743 -0.000813 0.023456 -0.033628 -0.100051 -0.065904 0.091715 -0.101620 0.099018 -0.028351 0.172638 -0.072402 0.013512 -0.031219 -0.121331 0.017852 0.038382 -0.191749 -0.090706 0.022601 -0.065397 0.167260 0.062589 -0.008555 0.170469 -0.227979 -0.035575 -0.057025 -0.011836 0.209208 -0.146255 -0.140630 -0.150180 -0.097133 -0.108516 -0.065901 -0.092374 0.092326
-bestimmte -0.087398 -0.013487 0.054736 0.065077 0.102104 0.079646 -0.083150 0.039044 0.002897 0.094979 0.024846 0.102269 -0.129120 -0.122112 -0.066348 0.017639 -0.258816 -0.058684 0.022184 0.117549 -0.058463 -0.106255 0.099759 0.053422 -0.114721 -0.061350 -0.032281 0.000688 -0.045791 -0.012967 0.012320 -0.045116 0.094454 0.062192 -0.087544 -0.023006 -0.028092 0.037085 0.037072 -0.149961 0.003064 0.010909 0.004171 -0.009266 -0.069802 0.098831 -0.143052 -0.116033 0.051516 -0.154625 -0.089966 -0.067639 0.032015 -0.099670 -0.038387 0.006820 0.052245 0.061358 0.151510 0.122029 -0.002389 -0.078100 -0.095490 -0.140715 -0.066159 0.007307 -0.073818 0.036890 -0.097943 -0.065280 -0.054279 -0.082950 0.031002 -0.192974 -0.002834 0.094406 0.084571 -0.013685 0.020502 0.093816 -0.005624 -0.085147 -0.058607 -0.011802 0.124952 0.089774 -0.077070 0.013829 0.014363 -0.041098 0.000285 -0.204818 0.013732 -0.035792 -0.092997 -0.051932 -0.007139 -0.066211 0.045276 0.112282 0.073204 0.044797 0.026093 -0.032423 -0.072628 0.092399 0.060753 -0.059939 0.061788 -0.077028 0.072663 -0.080890 -0.118025 0.078029 0.213700 0.079044 -0.063160 -0.021311 0.034829 -0.080273 0.000696 -0.035354 0.031818 0.039947 0.061752 0.097022 0.014601 0.140120 0.039296 0.196183 -0.056691 -0.008957 -0.122051 0.033992 0.131314 -0.027257 -0.024119 -0.024013 0.048291 -0.021043 -0.091655 0.113114 -0.044408 0.081283 0.181276 0.059887 0.071372 0.057467 -0.047206 -0.095169 0.154615 -0.041819 -0.026684 0.020570 -0.006790 0.035953 -0.071985 0.194122 -0.017917 0.038282 0.012729 -0.210887 0.076100 0.020712 0.122978 -0.034943 0.168854 -0.057485 -0.068274 0.008246 -0.010305 0.160167 -0.207934 0.033615 -0.166506 0.031210 0.165753 -0.141728 0.025030 -0.030704 -0.075861 -0.013549 0.100884 0.091348 0.063569 0.118105 0.038598 -0.115148 0.058068 0.032645 0.004901 -0.119294 0.134763 -0.091227 -0.072619 0.077829 0.048205 0.049200 -0.026759 -0.118411 -0.029457 -0.064719 -0.096475 0.140967 -0.120368 0.030065 -0.042130 0.100060 -0.159350 0.025517 0.168742 -0.016974 0.071365 0.078640 -0.083156 -0.082513 0.018862 0.144725 0.059817 -0.005210 -0.061361 -0.003762 -0.063440 0.000282 -0.029218 0.023107 -0.059185 0.061780 -0.142134 -0.022936 -0.125915 -0.143687 0.054427 0.055940 -0.165184 -0.005954 -0.106516 0.109681 -0.038347 -0.103691 -0.001737 -0.002394 0.144896 0.113421 0.045092 0.068434 -0.046504 -0.174014 -0.126959 0.042098 -0.009971 -0.004752 0.019449 0.003423 0.018927 -0.012755
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-Dienstleistungen 0.023546 0.026659 0.007756 0.079618 -0.057302 0.082603 0.135211 0.087601 0.012293 -0.003068 -0.170716 -0.080752 0.203274 -0.098135 0.124747 0.014892 -0.010601 0.191351 0.122452 -0.187198 -0.044821 -0.101184 0.143989 -0.032836 0.007206 0.133895 -0.001675 0.058408 0.009939 0.022982 -0.134035 -0.146716 0.030320 0.002506 0.024117 -0.053109 -0.092634 -0.000336 -0.089965 0.072548 0.067789 -0.000282 -0.034186 0.009644 0.058384 0.123170 0.037385 -0.061772 0.020601 -0.056222 0.072304 -0.077013 -0.114270 -0.005982 0.022245 -0.141899 0.068657 -0.038117 0.204503 -0.138523 -0.112828 0.059080 0.043519 -0.054593 0.134018 -0.061445 0.038164 0.042565 0.059340 0.061280 0.015962 -0.031880 -0.079936 -0.007112 -0.013744 -0.069182 -0.072501 0.065049 -0.108231 0.104811 0.095995 0.008260 0.048608 -0.122174 0.161708 -0.081127 0.134858 0.008877 0.087666 -0.094891 0.109363 -0.114875 -0.075026 0.057544 0.023688 0.132246 0.010002 -0.006444 0.013913 0.146599 0.069408 -0.131677 -0.062369 -0.027842 0.062016 -0.114857 0.016542 0.103217 0.012520 -0.075839 0.003462 -0.069485 -0.023814 0.069242 0.226597 -0.091631 0.136058 0.034940 -0.112087 -0.120662 -0.039749 -0.099257 -0.020152 -0.073400 -0.006322 -0.042036 0.110717 0.082230 0.118954 0.089020 -0.238292 -0.130879 -0.015590 0.004027 -0.123185 0.004182 0.072878 -0.057255 -0.018376 0.038096 0.002174 -0.035302 -0.000371 -0.024435 0.159092 0.037973 0.011337 0.150327 0.019577 -0.119693 -0.079128 -0.022021 -0.083229 0.081662 -0.076145 0.212925 -0.023466 -0.064915 0.078361 -0.094886 0.032169 -0.024528 0.014204 -0.142532 -0.103775 0.097641 0.012101 0.123396 -0.009619 0.103567 -0.067393 -0.126516 -0.059480 0.053533 -0.021806 0.050365 -0.060065 0.021252 0.138466 0.036120 -0.192080 -0.013780 -0.075486 -0.147791 0.120057 0.085070 -0.030615 -0.041734 -0.031509 0.098434 -0.119411 -0.035625 0.044318 -0.164312 0.052466 0.100639 -0.126025 -0.010135 -0.099793 -0.073371 0.105307 -0.136956 0.032970 0.058904 -0.166220 -0.110746 -0.071408 0.013095 -0.070464 -0.018336 0.168510 -0.134213 -0.048640 -0.168302 0.105101 -0.112753 -0.073290 -0.032388 0.111755 -0.144142 -0.031055 0.082202 0.063512 0.164240 -0.009095 -0.008538 -0.064224 -0.055063 -0.104046 -0.050442 0.125692 0.055368 0.100204 0.076863 -0.029220 0.184943 -0.009912 -0.039786 -0.123041 -0.147781 -0.083618 0.059130 -0.156852 -0.125891 0.172266 0.191568 -0.176584 -0.125808 0.136278 0.028306 -0.001712 -0.114970 0.193462 0.077749 -0.053038 0.127437
-Druck 0.003399 -0.028988 -0.044941 0.024996 0.063085 -0.073494 0.104438 0.124548 -0.020109 0.020134 0.077411 -0.006216 -0.023521 0.083437 0.069301 0.090317 -0.132444 -0.071743 0.056084 0.050392 0.000535 -0.040681 -0.019531 0.073972 0.174533 0.039206 0.087263 0.142749 -0.168781 0.037313 -0.062970 -0.102390 -0.019989 0.056460 0.079797 0.120802 0.072532 0.002023 0.012157 0.083832 -0.067578 -0.051775 0.039632 -0.061282 0.196583 0.128590 0.041768 0.096602 0.101723 -0.220739 0.166028 -0.037556 -0.008865 -0.170150 0.084432 0.069609 0.057529 0.093183 0.125158 -0.201881 0.015970 0.189601 -0.001915 0.000921 -0.081951 0.035046 0.108193 -0.060120 0.074046 0.039502 0.075237 0.053681 0.077449 -0.025972 -0.115273 -0.150222 -0.037105 0.010192 -0.114337 -0.019992 -0.040024 0.067171 0.061808 -0.000476 0.034648 -0.034459 0.123708 0.013573 0.097540 -0.004839 -0.160371 0.015680 0.098854 -0.018057 -0.024514 -0.023108 -0.048248 0.059813 -0.036672 0.082195 0.100284 -0.137309 -0.109874 0.089097 0.120789 -0.065753 -0.128668 0.102329 -0.012041 -0.022049 -0.060260 -0.052981 0.139928 0.025929 0.031757 0.015315 0.103055 0.081696 0.036358 -0.092762 -0.080985 0.085726 0.008958 -0.060021 0.062235 -0.077215 -0.107028 -0.045965 -0.034773 0.174174 -0.302707 -0.122893 -0.038917 -0.015335 0.017603 0.045182 -0.141237 0.002147 -0.045823 0.098995 -0.069374 -0.194387 -0.030237 0.092741 0.211301 0.115174 0.191477 0.048659 0.053699 -0.013344 0.072980 -0.008069 -0.053920 -0.005117 -0.013696 0.119444 -0.054339 0.056146 0.052484 -0.030951 -0.072800 -0.009997 -0.044512 0.066333 0.186590 0.102779 -0.061790 0.062420 -0.090030 0.044471 0.073359 0.123932 -0.056003 -0.035633 0.115680 0.161405 -0.005705 0.066894 0.074873 -0.052194 -0.158609 0.043178 -0.006438 0.171455 0.197231 0.054249 0.102127 0.037961 0.002048 0.062068 -0.122599 0.173149 -0.043031 -0.194870 -0.198451 -0.009472 0.022769 0.019162 -0.012443 -0.025281 -0.037382 -0.066614 -0.093901 0.126371 -0.098881 0.030968 0.010148 0.057264 -0.057135 0.050564 -0.053281 -0.012337 0.018432 -0.054668 0.001305 -0.020878 -0.033684 0.085671 -0.021971 -0.003244 -0.038810 0.140424 0.108179 0.035499 -0.092291 -0.110798 -0.074842 -0.000054 0.010633 -0.007740 0.038842 0.023531 0.130485 0.014349 -0.068362 0.189739 -0.047772 0.062232 0.061577 -0.051118 -0.110381 0.018666 -0.054709 -0.038316 0.146787 -0.082270 -0.045694 -0.190559 0.051036 -0.011622 -0.022099 -0.093349 0.043685 -0.035825 -0.002487 -0.046266
-Entschließung 0.054829 -0.071005 0.021371 0.006998 -0.003814 0.098336 0.004076 -0.056631 -0.192372 0.199527 0.116852 0.163507 -0.047446 0.004996 -0.027579 -0.073529 0.151029 0.082602 -0.039876 -0.106502 0.057453 0.139923 0.050801 0.044865 0.077464 -0.025654 0.044519 -0.057800 0.099581 0.020126 0.070087 0.072735 0.052260 -0.086827 0.150289 0.071402 0.114397 -0.064102 -0.050362 0.034949 0.148606 0.042427 -0.106939 0.026309 -0.063062 0.041191 -0.067611 0.073625 0.085173 -0.120938 0.149894 -0.096035 -0.015573 -0.102885 -0.100963 0.059470 0.025383 0.077797 -0.050234 0.068442 0.091202 -0.109406 -0.118397 0.061225 0.020422 0.005081 -0.011271 0.067560 -0.124006 0.049562 -0.001398 0.125396 0.068682 0.061341 0.043919 -0.114337 -0.026866 0.041517 -0.070487 -0.084045 0.029087 -0.153703 -0.061447 -0.232756 0.079048 -0.011322 0.010266 -0.074567 0.115462 0.077838 -0.061398 -0.102073 -0.057483 0.027469 0.043925 -0.054482 0.138139 0.099364 0.138183 -0.065489 -0.025951 -0.026534 0.010233 -0.057962 0.052928 -0.082651 0.222930 0.002574 0.021623 -0.032037 0.209267 0.023395 -0.007016 0.045344 -0.104501 0.043269 0.019811 0.060394 -0.033148 -0.040491 0.028146 -0.110283 0.128569 0.047817 0.180736 0.147923 0.009836 -0.071426 -0.153691 0.034236 0.023512 -0.177752 0.035135 -0.149017 0.098347 -0.025752 -0.075883 -0.132121 -0.176386 0.072423 -0.074862 0.188861 0.007333 -0.027096 0.062610 -0.023649 -0.066899 -0.052041 0.088516 -0.077740 0.057030 0.055491 -0.014587 -0.180012 0.068806 -0.194041 0.085637 0.009535 0.094617 0.182786 0.006792 -0.053728 0.019303 -0.107115 -0.044513 -0.060293 0.108361 -0.019774 0.127013 -0.048479 0.031474 0.020224 -0.037636 -0.158662 -0.051940 -0.059980 -0.047034 0.016601 -0.118570 0.192148 -0.029540 0.089353 0.059472 0.148776 0.032147 -0.083475 -0.050880 0.096297 0.025927 0.047167 0.054103 0.095892 -0.103715 0.006677 0.004462 -0.044423 0.054672 0.053034 0.149736 -0.032627 -0.028583 0.155116 -0.011073 0.054650 0.036776 -0.101040 -0.042836 0.013192 0.064704 -0.008032 -0.088161 0.029136 0.182275 -0.001884 -0.082970 -0.051987 -0.158883 -0.120166 0.079033 0.034007 -0.088926 -0.080458 0.042071 -0.107194 0.052977 -0.040329 0.085473 0.025685 -0.114947 0.043592 0.065599 -0.146549 0.170808 -0.043386 -0.041499 0.000177 -0.124023 0.014095 0.006369 -0.062125 0.156251 -0.028934 0.135279 0.036184 -0.028965 -0.055222 0.009381 0.029770 -0.003289 0.151076 -0.093271 -0.078639 -0.066568 0.110663 0.025374 -0.014855
-Fraktion 0.059579 0.119540 -0.037512 0.089890 0.243744 0.062636 -0.190754 0.056621 -0.063589 0.118818 0.143718 -0.034360 0.229165 0.139498 -0.040695 -0.028474 0.129520 0.049321 -0.029295 -0.082940 -0.127933 0.014719 -0.308737 0.240995 0.105246 0.149330 0.121742 -0.103912 -0.060112 -0.074413 0.055536 0.052086 0.007900 -0.010576 -0.095405 0.135206 0.184298 -0.036612 -0.144758 -0.052815 0.044082 0.015948 -0.049431 -0.175854 -0.094000 0.134966 0.220288 -0.212631 -0.038259 0.031182 0.011769 -0.044901 -0.017625 -0.063831 -0.153780 0.200077 0.032558 0.051110 -0.322440 0.095834 -0.204312 0.045039 -0.021722 0.171540 0.029951 -0.068252 0.030707 0.106006 0.123897 -0.031026 -0.017055 0.089100 0.072797 -0.076368 -0.045780 -0.080505 0.001937 -0.023019 -0.010714 -0.239130 0.194266 -0.096267 -0.049032 0.004958 -0.030511 0.070056 -0.274417 -0.071228 0.057934 -0.142407 -0.069141 0.017495 0.060179 -0.239787 -0.043174 0.257545 0.191277 -0.044158 0.175743 -0.002576 0.237421 -0.036985 0.055711 -0.019934 0.024785 0.004396 0.039910 -0.018499 0.037276 0.013561 0.082413 -0.147421 -0.005541 0.097443 0.004314 -0.107841 0.020379 -0.058365 -0.094211 0.004345 -0.123722 0.036284 -0.007807 -0.075352 0.079256 -0.016652 0.023736 -0.150277 0.006415 0.082729 0.201030 -0.082324 -0.034000 -0.098519 0.100210 -0.246702 -0.172631 0.105847 0.075283 -0.061414 0.023000 0.205114 0.030240 -0.004145 0.153859 -0.010837 -0.078683 -0.040559 0.025767 -0.175920 -0.060345 0.020942 -0.163714 -0.117228 0.123692 0.015313 0.041332 -0.120539 -0.059821 0.135981 -0.217580 -0.059140 -0.094508 0.122674 -0.022706 0.033352 0.152239 -0.179546 -0.002870 0.100106 -0.174499 -0.078227 0.265835 -0.027741 0.059609 -0.046650 -0.084253 0.107471 -0.075832 0.185639 -0.059089 0.424586 -0.097959 -0.069795 -0.084578 0.141503 0.067334 -0.079276 -0.111113 0.205768 0.016430 0.085006 0.074096 0.134083 0.007149 0.007747 -0.120657 -0.135172 -0.115284 -0.128530 0.037223 0.204699 0.093501 0.187373 0.108203 -0.060528 -0.015395 -0.015479 -0.111518 -0.054015 -0.023719 -0.036027 -0.031573 0.001288 -0.180004 0.109668 0.073884 0.201972 0.114848 0.249352 0.003102 0.147819 -0.070328 -0.049642 -0.041699 -0.027132 0.125921 -0.185511 0.041481 -0.195822 -0.197815 0.185510 0.050240 0.032389 -0.107730 0.070744 -0.002686 0.159960 -0.120455 -0.011776 0.021724 -0.179505 0.030189 0.058924 0.154452 0.089039 -0.056088 0.041761 -0.322523 -0.014509 -0.185377 -0.199921 0.070151 -0.068724 0.064288 -0.382350
-Geschichte -0.097259 -0.152054 -0.023409 -0.012943 0.201228 0.021031 -0.101186 -0.032024 0.117616 0.206209 -0.166963 -0.044597 -0.051054 -0.024332 0.118211 0.130250 0.070288 0.058307 0.089096 0.033229 0.008981 0.018131 -0.035657 -0.072577 0.146448 0.129664 0.148469 0.109480 -0.109681 -0.139142 0.012855 0.044574 -0.107640 0.204796 -0.095519 -0.053179 0.086671 -0.125791 -0.110648 -0.036515 0.024114 0.048877 0.116774 -0.148058 -0.006210 0.115188 0.011967 -0.231415 -0.124065 -0.010995 -0.088167 -0.079032 -0.100745 0.040356 0.001668 -0.115182 -0.031477 0.087998 -0.080537 0.043925 0.115387 0.053940 0.031485 -0.029836 -0.045270 -0.181693 0.114451 0.029093 -0.033061 0.009283 -0.044492 -0.005847 -0.012607 -0.000885 -0.250215 -0.174646 -0.078249 -0.090026 0.064096 0.041612 0.083198 0.034379 -0.011641 0.054440 0.043754 0.072699 0.032780 0.020806 0.083000 0.003887 -0.045954 -0.036784 0.059692 0.085005 0.070044 0.026305 -0.049196 0.013258 0.020731 -0.041186 0.091741 0.108884 -0.009080 -0.028004 -0.024912 -0.028335 0.038570 -0.011485 0.033214 -0.104101 -0.003731 -0.020881 0.136056 0.119775 -0.087030 0.054094 0.052818 -0.051780 0.001470 -0.089513 0.019851 0.025474 -0.045434 -0.027907 0.007193 -0.110296 0.069114 -0.075398 -0.126612 -0.060088 -0.120416 -0.044490 -0.070539 -0.071205 0.141269 -0.032534 0.030813 -0.007885 0.063413 -0.084924 -0.127499 0.066141 -0.038836 -0.012165 0.000901 -0.095902 0.100735 0.066089 -0.044948 -0.119237 0.092520 -0.000186 0.060068 0.121029 0.035849 -0.170588 0.193574 0.033776 0.004697 0.013739 -0.108345 0.149399 -0.037740 0.085491 0.046456 0.159655 0.003795 0.018443 0.178433 0.071659 -0.069508 -0.033038 0.030905 -0.046731 0.084048 0.005042 -0.195350 0.034329 -0.010029 0.117408 -0.051402 0.097397 0.050858 -0.187739 -0.028347 0.153177 0.014230 0.020132 0.016171 -0.075168 -0.119482 -0.012351 -0.003190 -0.063923 -0.075090 -0.094300 -0.010760 0.132604 0.047516 -0.005379 0.073594 -0.015037 -0.004867 0.076587 -0.064043 -0.113325 -0.083751 -0.095057 -0.158286 0.081348 -0.103470 0.049940 0.049331 0.011030 0.019473 -0.041169 0.020391 0.114242 -0.004028 0.080900 0.047739 0.106214 0.223983 0.078394 -0.165858 -0.057800 0.037614 -0.061859 -0.021730 0.035689 0.029098 0.250753 -0.012523 0.071865 -0.105663 0.162708 -0.082157 0.069973 -0.081317 -0.024290 0.184255 0.117983 0.080997 -0.250579 0.007159 0.059368 0.074342 0.129725 -0.010230 -0.005411 -0.071548 0.016031 0.129985 -0.148773 -0.096320 -0.024897
-Gruppe -0.126898 -0.001938 0.163563 -0.076255 -0.086284 0.118642 -0.121598 0.158222 0.026851 -0.110910 0.020506 0.028218 0.109882 -0.046765 -0.015998 -0.008701 -0.101561 0.177595 0.105390 -0.198741 0.116936 -0.031821 0.185434 -0.023813 -0.027781 0.186883 -0.095246 -0.008664 -0.030336 0.095319 -0.090234 0.225131 0.008409 -0.074816 0.088572 0.008117 -0.040643 0.012180 0.028430 -0.022215 0.054842 0.033075 -0.008610 -0.129327 0.049829 0.085068 0.003003 -0.137893 -0.146365 -0.001193 0.069272 0.175278 0.056597 -0.053856 0.050204 0.068062 0.060953 -0.140648 -0.001779 0.146813 -0.075631 0.018087 0.170291 -0.060756 0.058413 -0.007785 -0.002198 -0.158532 0.117897 0.053811 0.085532 -0.119231 -0.158217 0.063382 0.113447 0.000600 0.082144 -0.107027 -0.065721 0.063802 -0.025123 0.149404 -0.118101 0.069394 0.147385 -0.033819 -0.103685 0.008194 0.057011 -0.047848 0.014953 -0.023155 -0.077343 0.149592 0.090513 0.009211 -0.099898 -0.182791 0.004625 -0.009082 0.123324 -0.074914 -0.079284 -0.100800 0.060719 -0.014200 0.109773 -0.052562 -0.139203 -0.094371 -0.017494 0.012853 -0.002263 0.042058 -0.073048 -0.057662 0.119364 -0.091125 0.047870 0.100293 -0.005823 0.095177 -0.065377 0.030814 0.010581 -0.016822 -0.087316 -0.134158 0.108394 0.059952 0.048778 0.007855 0.021270 0.181747 -0.005637 -0.048905 0.036706 0.094147 0.024952 0.102508 -0.004219 0.223083 -0.033843 0.079447 0.026112 0.094456 -0.006624 0.066158 0.075963 -0.068619 -0.067735 0.146140 -0.081420 0.089856 0.058710 -0.056245 0.024546 -0.129579 -0.079303 -0.011984 -0.137479 0.126292 -0.106488 0.006979 0.044285 0.052859 0.260349 0.077515 -0.114598 0.072505 -0.080027 0.019474 -0.064464 0.109983 -0.006988 -0.004896 -0.022120 -0.031017 0.115954 0.023282 -0.039253 0.082960 0.126683 -0.164700 -0.003878 0.166040 0.007254 0.036320 0.125944 -0.129739 -0.151346 -0.107242 0.058818 -0.039506 0.021980 -0.155690 -0.124951 -0.062333 -0.024832 -0.171352 0.083953 -0.086451 -0.025347 -0.094797 0.092712 -0.001318 -0.046286 0.107175 -0.024361 -0.073703 0.098983 -0.028864 -0.004644 -0.105910 -0.110308 0.105989 -0.173142 0.069415 0.048092 -0.000386 -0.047246 0.016686 -0.187255 -0.028058 0.025959 -0.138097 0.006727 0.038550 0.190282 -0.085852 0.118331 -0.049439 0.076116 0.076512 0.026519 -0.046807 -0.076915 -0.080968 -0.145198 0.033936 -0.076845 -0.095625 0.142330 0.018375 0.164932 -0.066813 -0.020241 -0.000758 0.001560 -0.025431 -0.200632 -0.084691 0.054587 0.067062 -0.138517 -0.127160
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-Man 0.058283 -0.128741 0.105779 0.105852 0.007868 -0.202169 -0.056087 0.117286 0.035181 -0.128635 0.087864 -0.093695 -0.154007 0.006179 -0.090973 -0.085899 0.058703 0.030916 -0.026423 0.076425 0.028086 0.094819 0.081358 0.045829 -0.018012 -0.172412 -0.001717 -0.009480 0.006843 -0.031753 0.103169 0.015776 -0.009167 0.119133 0.128547 -0.095633 0.062945 -0.058681 0.053126 0.096244 -0.138477 0.034838 0.017991 0.132726 0.045350 -0.092928 0.005091 0.004119 -0.145659 0.053438 0.007450 0.106842 -0.142098 0.100325 0.078697 0.045447 0.012430 -0.047000 0.037867 0.041377 -0.099721 -0.064503 0.021956 0.127249 0.176454 -0.036190 0.139206 -0.021123 0.148092 -0.052923 -0.006957 -0.046364 -0.044596 0.049573 0.016372 0.092514 0.040330 0.093229 -0.085897 -0.072141 -0.065267 0.134155 -0.067238 -0.021364 -0.130352 -0.022045 -0.024812 0.022933 0.098686 0.026906 -0.122017 0.087363 -0.131548 -0.021307 0.010779 -0.050278 -0.073404 -0.132184 -0.135295 -0.115112 -0.148008 -0.076764 0.150010 -0.132899 0.030068 0.159263 -0.078379 -0.178684 0.055454 0.090253 0.018746 -0.043829 -0.022388 -0.023487 -0.150712 0.075164 -0.104674 -0.100529 0.027093 0.137249 -0.049700 0.065041 0.005690 -0.056697 0.117526 0.018243 0.022279 -0.120963 -0.027221 -0.053374 0.012590 0.156672 0.064074 0.150149 -0.087968 0.042792 0.127257 0.068278 0.166303 -0.070957 -0.046802 -0.043466 0.084331 0.017611 -0.147381 -0.009753 -0.087957 0.051471 -0.152269 0.072672 -0.154677 0.132988 -0.023330 0.087202 -0.025203 -0.088340 -0.006115 -0.020496 -0.036896 0.038518 -0.097004 0.031787 0.006515 -0.150475 0.107270 -0.096636 0.131965 -0.014910 -0.080570 -0.029672 0.060341 -0.030439 0.091032 -0.123110 0.004581 -0.145791 -0.066723 -0.031069 -0.014174 -0.034753 0.087358 0.069454 0.005863 0.018760 0.002181 0.013777 0.009096 -0.029047 -0.073865 -0.018132 0.135589 -0.109916 0.139983 0.020397 0.069258 -0.036949 -0.044979 -0.021489 0.021450 0.106354 -0.172738 0.004515 0.019362 -0.000938 0.067198 0.092131 0.160752 -0.091595 0.007463 0.057590 -0.111914 -0.000816 -0.128400 0.038051 0.031632 0.141289 -0.067590 -0.097206 -0.094399 0.005042 -0.014344 -0.042161 -0.055847 -0.167951 0.168740 -0.068331 0.139387 0.093888 0.061588 0.128683 0.126168 0.171700 -0.022802 0.022639 0.195531 -0.038997 0.003127 0.047758 0.012261 0.139542 0.006103 0.118483 0.098414 -0.087553 0.045038 -0.007424 0.026388 0.063791 -0.061206 -0.119431 0.010399 0.041280 0.060168 -0.095234 -0.062625 0.003366
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-Bereichen 0.137471 -0.120127 0.161102 -0.138423 0.117607 -0.043886 0.055255 0.081735 -0.028715 0.013913 0.036691 -0.028794 -0.026162 -0.117245 0.095898 -0.100439 0.054301 0.115805 0.043677 -0.022932 0.007588 0.024952 0.132930 -0.048293 0.140778 -0.068216 0.157815 0.018418 -0.043848 0.070851 -0.060773 0.091382 0.046860 0.098274 0.163734 0.127739 0.115263 -0.102081 -0.013121 0.063862 0.030503 -0.063412 0.070497 -0.078480 -0.026695 -0.073693 0.119913 0.003199 -0.193815 0.077605 -0.002348 -0.025272 -0.066056 0.004427 -0.111905 0.074616 -0.040872 -0.094840 -0.086774 0.000809 0.053182 0.089452 -0.130225 -0.005673 -0.124076 -0.064392 0.252737 -0.118052 0.137071 -0.015741 0.049495 -0.078794 -0.063201 0.192870 -0.166673 -0.042102 0.175727 -0.130420 0.043155 -0.003530 0.018478 -0.057946 0.093033 -0.003228 -0.138054 0.033020 -0.065513 0.134455 0.017333 0.078395 -0.101327 -0.013903 0.098136 0.027727 0.037314 0.096842 -0.101279 0.096794 0.114919 0.015916 0.191033 0.013672 0.128422 0.020158 -0.106908 0.008368 -0.054836 -0.042222 0.120894 0.018876 0.093432 -0.072340 0.077420 0.044296 -0.059986 0.140900 0.119696 -0.092900 0.041213 -0.171267 0.087978 0.092026 -0.128439 0.106276 0.066020 0.129137 -0.036568 -0.016284 0.137812 0.004117 -0.108511 0.045836 0.081187 0.119899 0.150665 -0.021484 -0.178853 -0.058598 -0.069855 -0.112507 0.028245 -0.045380 -0.070814 0.089466 -0.063967 -0.128745 0.044010 0.066379 0.091211 -0.187084 -0.052575 0.108083 0.029470 0.040286 0.035163 0.040465 0.024775 -0.004478 -0.035534 -0.101595 -0.068530 0.069346 -0.186468 0.010167 0.040346 0.084891 0.044342 -0.000956 0.013027 0.223722 0.045540 -0.039004 0.123726 0.005109 0.018465 -0.025982 -0.055669 0.070410 0.029308 0.103661 0.020002 0.025363 -0.100291 0.029181 -0.045799 0.082840 0.058046 0.052966 -0.048856 -0.061380 0.014214 -0.098240 -0.140590 -0.138782 -0.005533 -0.023509 -0.107589 -0.096795 0.132000 0.081454 -0.057472 -0.110062 -0.084898 -0.080934 -0.049183 0.061752 0.070568 0.029425 0.032858 0.166493 -0.128417 0.102493 -0.019152 -0.055670 0.057899 0.060766 -0.088790 -0.092108 0.077410 0.058005 0.073847 0.123498 0.040970 -0.039750 0.064005 -0.082321 0.220046 -0.026403 0.127635 0.111612 0.097314 -0.020553 0.020347 0.057540 0.047950 -0.114834 -0.013124 0.006456 0.166708 0.106989 0.012882 0.053261 0.060970 -0.201662 0.151515 -0.064182 -0.066474 0.025802 -0.072449 -0.008805 0.058082 -0.028095 -0.138379 0.029178 -0.005082 -0.193362
-Beziehungen 0.014775 0.148035 -0.078612 -0.120925 -0.063232 -0.020078 0.182940 -0.082928 -0.080174 -0.246095 0.032846 -0.067118 0.011385 0.106830 -0.047612 0.058456 0.143219 -0.023462 0.005582 -0.136123 0.011277 0.078427 0.015766 -0.090925 0.116426 -0.029558 -0.012865 -0.030675 -0.049197 -0.028680 0.037106 -0.061452 -0.109322 -0.092871 0.088897 -0.206306 -0.049564 0.125877 -0.088558 0.132786 -0.160021 -0.250042 0.139483 0.101471 0.062884 -0.016661 -0.112583 0.257868 0.117544 -0.036851 0.117580 0.101534 -0.056444 0.062333 0.021034 -0.095346 0.034688 -0.026150 -0.105261 0.038586 0.087204 -0.044156 -0.007799 -0.088905 0.026086 0.173639 0.015715 -0.034012 0.079272 -0.246208 -0.024100 -0.021999 0.025714 -0.108812 -0.160673 -0.019429 0.045694 0.047847 0.200150 -0.114443 -0.032553 0.045666 -0.139363 -0.211327 -0.015157 -0.095226 -0.024364 -0.180913 -0.091764 0.029150 -0.130017 0.046645 -0.081756 -0.137170 0.045357 -0.057683 -0.013794 0.062897 -0.170256 -0.025245 -0.225431 -0.059920 0.013903 0.037327 0.157651 -0.068254 -0.039671 0.113873 0.073723 0.043959 -0.037511 -0.073624 0.042021 0.038303 -0.172564 -0.069847 -0.117792 0.145377 -0.102009 0.060760 -0.090518 0.034581 0.045886 0.121975 -0.024138 -0.017897 0.083531 0.047470 -0.008643 -0.172754 -0.017294 0.011038 0.105656 0.082792 -0.012056 0.122808 0.014066 -0.023433 0.023291 -0.010279 -0.025333 -0.182748 -0.052614 -0.162563 0.124153 -0.062821 -0.021507 -0.002068 0.069383 -0.035715 -0.091402 0.048057 -0.009519 -0.155534 -0.019219 0.206843 -0.108844 0.039232 0.053927 -0.106199 0.078776 0.086566 0.151195 0.042641 -0.045959 -0.200496 -0.157730 -0.004270 -0.015576 -0.098808 -0.071290 0.003620 -0.065036 0.033033 0.082149 -0.057119 -0.037422 -0.000027 0.082163 -0.111276 0.043087 0.008504 0.004034 -0.055953 -0.095004 0.006288 -0.125087 0.062160 -0.002966 -0.116080 0.021826 0.116525 0.060036 -0.091749 0.065407 0.015003 0.075023 -0.006894 -0.023929 0.185435 -0.114426 -0.104158 -0.082988 -0.008342 0.203125 0.086753 0.071961 0.149105 0.132655 -0.003534 -0.063194 -0.061326 -0.024796 0.005386 0.249629 -0.059563 -0.041629 -0.223510 -0.034220 0.011705 0.040266 -0.198438 -0.010924 0.099473 0.043354 -0.011217 -0.009643 0.048074 -0.049767 0.012518 0.130971 0.117990 -0.101618 0.083310 0.173440 0.023532 0.000020 -0.035660 0.107426 -0.138983 0.075804 -0.018207 -0.053042 -0.061642 -0.079557 0.031040 -0.039055 0.023509 0.110422 -0.050266 0.151576 0.052779 -0.021088 0.092077 0.117552 -0.014617
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-Mai 0.120016 -0.061896 -0.221782 0.098036 0.118741 -0.038766 0.086310 0.118661 0.129260 0.064335 -0.130752 0.069208 -0.134784 0.013903 0.143480 -0.196628 -0.008779 -0.084644 -0.045081 0.013975 0.118065 -0.202335 0.084414 0.051276 0.143336 0.049606 0.004023 -0.067566 -0.028249 0.127981 0.091342 -0.135641 0.155467 -0.098061 -0.012172 -0.080211 -0.112937 0.100377 0.000491 -0.116700 0.047097 -0.075916 0.044853 -0.134096 0.059842 -0.107012 0.019018 -0.224054 -0.141602 0.009192 0.045519 -0.119518 0.177666 0.114852 -0.025741 -0.011557 -0.134236 0.022062 -0.016244 0.014428 0.028035 -0.052812 0.016460 0.085730 -0.079913 -0.056170 0.158410 0.020690 0.091113 -0.032154 0.277608 -0.023208 0.031386 -0.024548 0.003686 0.187242 -0.024939 0.226664 -0.072096 0.002528 0.142220 0.259927 0.119358 -0.176764 -0.016269 -0.097508 -0.017831 0.008324 0.090080 -0.207601 0.171758 -0.119746 0.023611 0.002770 0.174472 0.182892 -0.190286 0.054176 0.054207 0.123753 0.088998 -0.034954 0.064316 -0.000411 0.038353 0.146907 -0.161615 -0.029070 0.071784 -0.003220 -0.139381 -0.022453 -0.090202 0.116843 0.026875 -0.100964 0.069392 0.078324 0.095481 0.098972 -0.043615 0.007617 0.162140 -0.126869 -0.320250 0.056011 -0.061915 0.026432 -0.195650 -0.009918 0.093288 0.020449 0.112223 0.028383 0.050509 -0.081446 0.001327 -0.078786 0.001256 -0.095006 0.212863 0.104897 -0.002237 0.011824 0.210100 0.125805 0.128854 -0.146157 -0.306628 -0.026836 0.105691 -0.026961 -0.169979 0.119963 -0.060978 0.007580 0.033613 0.114615 -0.058194 -0.058539 0.076832 0.033669 0.090913 -0.146646 0.129484 0.008187 -0.139817 0.171580 0.081695 -0.174918 0.169995 0.063474 -0.137087 0.041037 0.050190 0.155344 0.059991 0.306494 -0.071124 0.155483 0.090384 -0.054341 -0.174986 0.116957 -0.126351 -0.035613 -0.247208 0.028837 -0.188900 0.015975 -0.104551 0.000227 0.008045 0.116370 0.005440 -0.119686 0.042547 -0.035390 -0.022574 -0.024805 0.080241 -0.040686 0.098549 -0.130615 -0.184491 -0.056530 -0.047103 -0.190981 -0.227053 -0.111939 0.138961 -0.125045 -0.084321 0.109837 -0.043902 -0.094658 0.151833 0.043905 0.117118 0.031964 0.129477 0.038509 0.135132 0.084168 -0.159170 -0.000754 -0.131473 -0.044950 0.048185 -0.040860 -0.067244 -0.133892 -0.037932 -0.073420 -0.053449 0.106289 -0.249827 -0.048113 0.045586 -0.031567 -0.025430 -0.038193 0.081150 0.059460 0.057680 0.042471 -0.017216 0.040390 0.060306 -0.159824 0.194122 -0.018644 0.079668 0.234837 -0.088825 0.123362
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-Schaffung 0.250694 0.072989 0.026993 -0.143897 0.068678 -0.070111 -0.112521 0.070671 -0.009313 -0.036304 -0.136917 0.047920 -0.151866 0.146649 -0.012489 0.007892 0.034412 0.048192 -0.105119 0.092091 0.110667 0.180863 0.060335 0.082453 -0.198377 -0.007742 -0.114391 -0.291683 -0.117841 0.078826 0.083564 0.060739 0.251097 0.012824 0.148158 -0.190449 -0.190412 0.037222 0.039187 0.345400 -0.104402 -0.092633 0.216387 0.212907 -0.163016 -0.151034 -0.284460 0.181978 -0.129602 0.008655 -0.123889 0.198929 0.049467 -0.000189 0.049870 0.114419 0.132883 -0.063471 0.048934 0.122492 -0.051443 0.130499 0.047675 -0.019524 -0.192964 -0.059939 0.000439 -0.242177 -0.052978 -0.125011 -0.247718 -0.088650 -0.004987 0.061050 0.035116 0.093717 -0.017323 -0.001029 0.250155 0.017408 -0.084425 -0.112976 -0.086614 0.001619 -0.245524 0.065368 0.003560 -0.169697 -0.257766 0.123454 -0.247960 0.066728 -0.019975 0.049144 0.109697 -0.036779 -0.149698 -0.094386 -0.081205 -0.261372 -0.011985 0.122311 0.164366 -0.185796 -0.070644 0.032857 0.140249 -0.152673 -0.098707 0.135200 -0.000057 0.141896 -0.022057 -0.217045 0.019902 0.069364 0.000449 -0.052150 0.067326 0.211476 0.176986 -0.130087 -0.079614 0.108674 0.175960 0.096651 0.042467 -0.021097 -0.107722 -0.131966 -0.000792 0.089377 -0.096571 0.168430 -0.123502 0.194095 0.203375 0.185899 -0.161416 -0.111025 0.113693 0.022308 0.039924 -0.072439 0.078046 0.070760 0.082731 -0.051420 0.225887 0.109980 -0.198788 0.139394 -0.008094 0.107521 0.081273 -0.017303 0.253770 -0.179368 0.124659 0.002096 0.124604 0.131600 0.076230 0.103425 -0.255114 -0.246256 0.021654 0.045375 0.175288 -0.003638 0.040488 -0.093097 0.079164 -0.133073 -0.143418 -0.092768 -0.060093 0.051455 0.271257 0.076683 0.204283 -0.182437 0.094666 -0.047777 -0.072668 0.243433 0.045873 -0.064430 -0.128161 -0.203969 -0.103345 -0.126244 -0.071030 0.077185 -0.134772 0.132485 0.168109 -0.028115 -0.017931 0.135990 -0.047741 -0.147677 0.077102 -0.038097 0.103916 -0.007993 0.058788 0.111769 0.206524 0.120397 -0.218839 -0.077819 0.024137 -0.180113 0.264281 0.033350 0.020955 -0.211474 -0.106837 0.012642 -0.104982 0.013116 -0.211843 -0.003353 0.030937 -0.258888 -0.042852 0.209677 -0.068546 0.101964 0.144641 -0.051832 -0.287443 -0.047088 -0.094683 0.040762 0.136803 -0.082251 0.255325 0.067703 0.111067 0.106262 0.121105 -0.116383 -0.130294 0.027642 -0.290030 0.240496 -0.037971 0.026790 0.062257 -0.047698 -0.070879 0.146680 -0.239018 -0.107275
-Stunden 0.071290 0.026695 -0.008051 0.067244 0.039737 0.063758 -0.112401 0.001125 0.112749 -0.047493 0.014151 -0.035854 0.031678 -0.069772 -0.014106 0.165984 0.096515 0.017973 -0.035672 0.079871 0.103973 0.245877 -0.067684 -0.111582 -0.012188 -0.016286 0.000060 -0.107364 -0.150122 0.065486 0.125961 0.026305 0.058148 -0.113930 -0.135829 -0.056023 -0.091367 0.203371 -0.136209 0.062647 -0.019879 -0.123041 0.051089 0.172344 0.064741 0.003124 -0.092618 -0.013947 0.015383 0.013734 -0.018652 0.248294 0.015761 -0.142636 -0.011913 -0.006010 -0.067866 0.014352 -0.012139 0.119990 -0.070632 0.015453 0.037620 -0.046604 0.075462 0.042139 -0.099733 0.045946 -0.078739 -0.265426 -0.108250 0.008704 0.091926 0.087448 0.010858 0.076026 0.152027 -0.061130 0.151884 0.038020 -0.005246 -0.070436 0.021826 0.051843 0.049762 -0.103358 0.166157 -0.061787 -0.179313 -0.014030 0.043293 0.087184 0.118740 -0.157443 0.162383 -0.002383 0.201350 0.128866 -0.102081 -0.049630 -0.111831 0.050501 0.056765 0.013983 -0.058066 -0.055976 -0.064848 0.062624 -0.134053 0.153917 -0.021131 0.086908 -0.035715 0.029041 -0.034710 -0.229715 -0.085255 -0.040829 -0.039393 0.357686 0.000555 0.078904 0.018174 0.095476 -0.071396 -0.004864 0.173910 -0.219061 0.005855 -0.094375 -0.051629 -0.004178 0.108541 -0.057944 0.029606 -0.133482 0.125523 0.086730 0.115147 -0.070172 0.061066 0.027762 0.076574 -0.178088 -0.166698 0.030501 0.023031 -0.078545 0.033306 0.028521 0.105921 0.032364 -0.130391 -0.127205 -0.033915 0.106139 0.035896 -0.060304 -0.064148 0.001970 -0.116193 -0.008957 -0.019751 0.054144 -0.166848 -0.170104 0.094084 0.000502 0.011398 0.076212 0.004280 0.192186 0.118568 -0.141205 0.151249 0.114417 -0.268316 -0.035232 0.026968 0.048911 -0.080224 0.112953 -0.040531 0.009583 -0.211803 -0.079976 0.033866 0.192492 0.055782 -0.108346 -0.025887 -0.074476 -0.292776 0.030688 0.043115 0.207664 0.051948 0.087541 0.027640 -0.115040 -0.115341 0.078702 -0.060174 -0.166295 0.100854 0.005279 0.035575 0.094880 0.310855 -0.055075 -0.057653 -0.120224 -0.045117 -0.131086 -0.072364 0.128287 -0.037551 -0.044131 -0.094478 0.050655 -0.030860 -0.166829 0.030418 0.132784 0.095644 -0.077609 0.085382 -0.095617 -0.072678 0.079058 -0.096232 0.118986 -0.254307 -0.113517 0.178745 0.034386 0.084480 -0.089715 -0.151533 0.085516 0.151822 0.019840 -0.040192 -0.138445 -0.093330 0.092842 -0.115940 0.114360 0.070638 -0.012368 -0.117282 -0.201732 -0.156573 0.008059 -0.053582 0.082403
-Umgebung 0.075246 0.043270 0.072636 -0.059914 -0.122179 -0.134789 0.026243 0.143964 0.078123 0.089423 0.030335 -0.006155 -0.011897 0.003951 0.083296 -0.052346 0.097757 0.148439 0.022971 -0.033763 0.186892 -0.127841 0.100728 0.012258 0.147986 0.017393 0.061875 -0.043223 -0.059366 -0.085543 -0.060703 -0.025178 0.077684 -0.095359 0.094238 0.042114 -0.179504 0.125812 0.045027 0.015504 0.034213 -0.086618 -0.080980 0.022237 0.017912 -0.004818 -0.167729 0.075269 0.020624 -0.127116 0.044881 0.089741 0.022432 -0.061413 -0.007891 -0.088537 0.079583 -0.075696 0.085752 -0.211122 -0.025493 -0.048063 0.103731 0.129114 0.104029 -0.131145 0.004081 -0.097438 0.024574 -0.001804 0.057735 -0.200850 0.020641 -0.008535 -0.041317 -0.056921 -0.055542 0.139124 -0.005817 0.078950 0.086055 0.076534 0.039144 -0.061211 -0.123361 -0.099397 0.070362 0.148631 -0.003675 -0.103358 0.025408 -0.130577 0.023549 -0.039390 0.022565 -0.088964 -0.123011 -0.125070 -0.132025 0.061953 0.001273 -0.139844 -0.070952 0.009538 0.067915 -0.121507 -0.068942 0.099726 0.060324 0.128994 -0.063614 -0.080633 -0.025505 0.093403 0.061297 -0.145575 0.065031 0.116816 -0.042528 0.015959 0.167851 -0.037196 0.043320 0.113879 0.048142 0.114748 0.025261 0.142327 0.052131 -0.150264 -0.111588 -0.108506 -0.137906 0.023353 -0.101734 -0.025046 -0.033320 -0.057072 0.052662 0.041361 -0.026785 0.043274 -0.114706 -0.002630 0.079952 -0.033030 0.036562 -0.006847 0.064210 0.010729 0.001141 -0.016192 -0.061374 0.020193 -0.093897 0.013767 -0.009671 -0.216635 -0.035914 -0.180142 0.042764 -0.097330 0.082174 -0.212093 0.060050 -0.096979 0.027450 0.112973 0.042518 -0.048132 0.130909 0.013814 -0.152489 0.142029 -0.091629 0.173461 0.014238 0.052452 0.084846 -0.216461 0.157651 -0.070905 -0.081324 -0.036674 -0.151064 0.150345 -0.111687 0.002560 -0.143647 0.021974 0.081415 0.026133 0.126721 -0.146868 -0.075975 -0.079804 -0.025621 -0.079072 0.089818 -0.032142 0.103104 0.025817 -0.097967 0.039660 -0.024216 -0.127441 -0.058216 0.032511 -0.058234 0.007340 -0.024339 0.017388 0.013808 0.048490 -0.074323 -0.121777 0.095957 0.003891 0.159784 -0.179256 -0.030609 0.039455 -0.042062 0.013174 0.037413 -0.052123 -0.132030 -0.035007 0.070721 0.024240 0.176091 -0.039164 0.090527 0.138517 0.205652 0.136728 -0.051676 -0.059557 -0.072867 0.071422 0.000130 -0.079003 -0.089221 -0.014392 -0.005735 -0.083262 -0.042404 0.025619 0.111718 0.035533 0.026289 0.034345 0.118627 -0.031787 -0.023816 0.049031
-Verbesserung 0.049531 -0.006849 0.025584 -0.021674 0.057214 -0.033221 -0.076241 0.007485 0.102552 -0.024869 0.032725 -0.206138 -0.070967 -0.040429 0.032141 -0.083611 0.139709 0.162075 -0.054020 -0.083083 0.199600 0.096578 0.034961 -0.141039 0.051658 -0.028625 0.044628 0.030921 0.013332 0.117029 0.013311 0.180955 0.107211 0.079336 0.158337 0.079781 0.108241 0.183115 -0.006774 -0.054538 -0.171602 -0.036094 -0.025283 0.095538 -0.112471 -0.127140 0.023894 0.023623 0.026685 0.011304 -0.148326 -0.027803 0.046534 0.057200 0.149508 0.216398 -0.130750 -0.050376 -0.035201 0.096378 -0.054938 0.177290 0.104142 0.013064 -0.128207 -0.078467 -0.022902 -0.005078 0.022476 -0.072497 -0.045322 -0.039271 0.033444 0.139989 0.099013 0.038334 0.003444 -0.162913 -0.040137 0.082213 0.084891 0.101805 0.085756 0.062916 -0.187189 -0.048647 -0.000188 0.146801 -0.049953 0.071541 0.056705 0.193750 0.110825 -0.031683 0.114198 0.083191 -0.021623 -0.047165 0.047212 -0.008416 0.036591 -0.129281 0.188135 -0.136842 0.114407 0.153971 -0.053567 -0.092111 0.023046 0.041683 -0.086877 0.136107 -0.050289 0.090441 -0.188555 0.020092 0.072190 0.025610 0.076493 0.048543 0.206819 -0.057497 -0.138686 0.046009 -0.014830 -0.030655 0.064763 -0.134127 -0.102619 -0.029048 -0.055239 0.119375 -0.103918 0.048342 -0.028009 0.031485 0.079514 -0.014178 -0.031457 -0.018186 0.048021 0.066140 0.117768 0.089105 -0.219379 0.155456 0.151144 0.010277 -0.135003 0.172607 0.045778 0.143240 -0.048401 0.059525 0.016656 -0.283339 0.121208 -0.174120 0.019157 0.072013 0.041070 0.171984 0.090643 -0.079512 0.132775 -0.081603 0.076101 0.177009 0.069921 -0.063748 -0.018694 -0.118029 0.117229 0.004406 0.117492 -0.096911 0.057855 0.145449 -0.044956 0.076881 0.109105 -0.141475 -0.008616 -0.114473 -0.156272 0.097373 -0.055568 0.146577 -0.120276 -0.094711 0.075422 -0.221876 -0.037286 -0.047034 -0.020631 0.013822 -0.136394 0.060695 0.165859 0.057258 0.139537 -0.002375 -0.019083 -0.225080 0.021566 -0.033638 0.139993 -0.021357 0.119365 -0.107619 -0.083882 -0.033891 -0.046659 -0.145015 0.088507 0.030365 -0.056435 -0.046812 0.008328 -0.059729 -0.003000 0.158652 -0.010844 -0.134935 -0.198109 -0.009355 0.161028 0.076853 0.038589 -0.063597 0.148033 -0.069226 -0.139087 0.083498 -0.026643 -0.001870 -0.034962 -0.136560 -0.102172 -0.002332 0.010042 -0.084879 0.075039 0.000330 -0.124612 -0.129103 0.062665 0.161267 0.010830 0.062923 -0.003133 0.078362 0.054164 0.025224 -0.132587 -0.087923
-Verbraucher -0.071390 0.101040 -0.011049 0.060695 0.028618 0.150663 -0.162485 -0.037797 -0.072520 0.005755 -0.173602 -0.049098 -0.025505 -0.122316 -0.077944 -0.041217 -0.155305 0.035644 -0.013900 0.050177 -0.022288 -0.034279 0.035223 -0.022949 -0.149901 -0.026280 0.071473 0.005915 0.087813 -0.023071 0.044999 -0.065433 0.090030 0.111198 -0.036561 -0.027321 0.045294 -0.023057 0.117770 -0.007053 0.016128 0.166015 -0.146609 -0.104289 0.069608 0.114054 -0.023731 0.062439 0.018569 -0.097302 0.081370 -0.067959 0.099980 0.023261 -0.020500 0.066217 -0.062455 -0.022114 0.151020 0.071397 -0.068656 0.156876 -0.115643 -0.068136 0.063515 -0.020866 -0.077417 -0.099340 -0.034772 0.064357 0.051244 0.119252 0.086002 0.022152 0.141131 -0.024856 0.004561 -0.024420 0.049490 0.094533 0.094853 0.039254 -0.000342 -0.036685 0.023678 -0.046819 0.173648 -0.001367 -0.094332 0.056416 0.043769 -0.065217 -0.117247 -0.014703 -0.072651 0.016149 -0.145842 -0.036353 0.146746 -0.074685 -0.056333 -0.016144 -0.006512 0.075332 -0.125352 0.100443 0.035926 0.087144 0.064568 -0.145472 0.101150 -0.056416 0.054706 0.086764 0.049397 -0.055966 -0.026431 0.025743 -0.007659 -0.076568 -0.089656 -0.030829 0.083057 0.049793 0.016344 0.109600 -0.087921 -0.015427 -0.026038 -0.074257 -0.067993 0.108854 0.028690 0.020316 0.134367 -0.054309 -0.110823 0.057987 -0.088993 0.045847 0.035156 -0.041147 -0.096788 -0.052730 0.058609 0.008208 0.224142 0.078177 0.022995 0.082173 0.007872 0.128742 -0.137393 0.112200 0.055742 0.069307 0.050259 0.077953 0.069052 0.055914 0.194996 -0.013853 0.043066 0.017762 0.093239 -0.033200 -0.064801 0.095655 -0.010126 -0.154653 -0.020959 -0.043472 -0.118673 0.052452 -0.077583 0.152043 0.125098 -0.025977 0.159584 0.030779 0.111736 -0.077857 0.025876 -0.046558 0.064733 -0.007808 -0.141260 0.044229 0.029899 0.025914 -0.026409 0.131847 -0.105777 -0.022302 -0.073067 0.050304 0.031963 0.047318 0.031665 -0.039052 0.011570 -0.074377 -0.012257 0.105511 -0.031762 -0.178087 -0.186167 0.012919 0.035310 -0.002767 0.054335 -0.010123 0.115477 0.112683 -0.021708 -0.064169 0.077011 -0.068291 0.179520 -0.097410 -0.023438 0.105747 0.055732 0.081839 -0.006934 -0.013801 0.088668 0.166779 -0.041118 -0.083288 -0.027421 -0.167999 0.101808 0.052300 -0.200960 0.036364 -0.086310 -0.073017 -0.077656 -0.099063 -0.043581 0.175179 -0.115179 0.035193 -0.017184 0.093679 0.055869 0.018032 0.019409 0.017800 0.016341 -0.034718 0.013046 -0.038983 -0.122027 0.119092
-Wert 0.093624 -0.059763 0.125670 -0.064931 0.034755 -0.055810 0.015367 0.172101 -0.039449 -0.154766 0.027421 -0.255372 -0.113918 0.175281 -0.239678 -0.096731 0.065819 0.236708 -0.066300 0.061960 -0.072914 0.156537 0.062593 0.059384 -0.016508 -0.107197 -0.134691 -0.019592 -0.069143 0.299236 0.028497 0.282180 -0.037897 -0.114379 0.028744 -0.025158 -0.063603 0.189127 0.054751 0.014013 -0.032052 -0.239544 0.010425 0.108984 0.061628 -0.050495 0.006196 0.097633 -0.077265 0.153355 -0.045723 0.007432 0.071425 0.046106 -0.037450 0.222413 -0.037457 -0.143040 -0.084845 -0.028500 -0.000622 0.044673 0.113898 0.100562 -0.027719 -0.040727 0.056884 0.025678 0.089005 -0.090114 -0.158490 0.037518 0.098821 0.195111 0.170390 -0.185044 0.080409 -0.058920 0.088765 -0.131924 0.036441 0.093988 -0.179659 0.077790 0.086957 -0.031255 0.143048 -0.020915 -0.120859 0.060613 -0.136573 0.131783 -0.008935 -0.024156 0.205901 0.026731 0.114565 -0.015164 -0.057767 -0.153196 -0.017701 -0.023559 -0.058790 0.100074 -0.051266 0.002036 -0.046064 -0.115480 -0.230965 0.221144 0.145914 0.113895 0.035334 0.213410 -0.145210 0.014895 0.027383 -0.127271 0.065227 0.229003 0.027686 0.034407 -0.007323 -0.038687 -0.047285 -0.040394 0.278410 -0.077284 -0.093861 -0.144102 -0.049426 0.073014 0.035903 0.180733 0.032305 0.185155 0.026220 0.110588 0.024752 -0.057840 0.175032 0.147900 0.055676 -0.192733 -0.035370 0.034239 -0.104379 -0.032573 0.044824 -0.021737 -0.122443 0.282875 0.099877 0.000472 0.072934 -0.032170 0.096097 -0.091545 -0.039186 0.112427 -0.039358 0.133641 -0.019109 0.093090 -0.150205 -0.051334 0.212892 -0.073909 0.084575 -0.141121 -0.095140 -0.044421 0.216772 0.095456 -0.013288 -0.064855 -0.102992 -0.095307 0.129368 -0.006064 -0.160781 -0.098288 -0.039543 -0.123887 -0.253768 -0.042092 0.054537 0.060981 0.011770 -0.141371 -0.082971 -0.116364 -0.132297 -0.073100 0.044909 -0.098644 -0.234478 0.120813 0.049285 -0.052542 -0.080460 -0.008225 -0.052894 -0.225890 0.131471 0.022867 0.158211 0.137247 0.133496 0.055873 -0.071698 0.024449 -0.009666 -0.031769 0.210861 0.153732 -0.164341 -0.137712 -0.111610 0.087545 0.095664 0.041250 0.022828 -0.049329 0.048548 -0.175051 0.015369 0.160107 0.021994 0.186440 -0.003603 -0.035089 -0.132699 -0.118507 0.226098 -0.148822 0.008992 -0.157763 -0.051649 0.025141 -0.046335 -0.002992 -0.117561 -0.124167 0.049997 0.102826 -0.076552 0.059389 0.043787 -0.287322 -0.184965 0.029329 0.024409 0.088360 -0.124532 0.140290
-bestehen -0.048856 0.043108 -0.081492 -0.117423 -0.039513 -0.062978 -0.134935 -0.130115 -0.016552 -0.012797 0.022109 0.069653 -0.029454 -0.007668 -0.106740 0.005935 0.044134 0.011129 0.079506 -0.044632 0.114031 0.005863 0.132078 -0.113945 0.052040 0.019842 0.160522 0.128598 -0.101225 -0.024664 0.156417 0.040179 -0.092581 0.010366 -0.025932 0.055165 0.106485 -0.039447 -0.012060 -0.135071 -0.099840 -0.023476 0.132938 0.038743 0.066970 0.034639 0.013542 0.052574 0.026340 -0.094847 -0.004533 0.031717 0.057116 0.003696 -0.141673 -0.033453 -0.040858 -0.110321 -0.051326 -0.045642 -0.097266 0.116450 -0.064025 0.108657 -0.073703 -0.011913 0.116261 0.017571 0.145255 -0.042416 0.020779 -0.045701 -0.038430 0.033426 -0.073342 0.017840 -0.023167 0.011703 0.031271 -0.029310 0.020762 0.032465 0.196925 0.137794 0.009898 -0.010648 -0.060481 -0.068720 -0.127300 -0.148011 -0.041213 0.109686 -0.001713 -0.053711 0.000600 0.030082 -0.215456 0.084095 -0.015640 -0.092254 -0.048775 0.024747 0.078557 0.104870 -0.028750 0.032160 -0.122797 0.098923 -0.025788 0.062998 -0.232666 -0.096923 -0.084516 0.012664 0.035684 -0.075481 0.050375 0.101144 0.046513 0.027101 -0.032282 0.028648 -0.023622 -0.056381 -0.080036 -0.033339 -0.119429 -0.009815 0.062179 -0.064907 0.006105 0.056097 -0.061262 -0.117781 0.006201 0.026798 0.132043 0.046136 -0.068527 -0.020502 0.054684 0.056190 0.122512 0.003199 0.002754 -0.073877 0.158810 -0.056878 0.012981 0.107837 0.065278 0.095177 -0.155556 0.126976 0.044144 -0.043177 0.118675 -0.040019 0.056334 -0.093334 0.166128 0.045529 0.019118 0.064091 0.093460 0.052721 -0.138169 0.067892 0.075273 0.003426 0.093330 0.062281 0.107383 -0.091974 0.088644 -0.022958 -0.183846 0.174664 -0.023114 -0.109347 0.159458 0.021210 -0.099903 -0.118437 0.064835 -0.087726 -0.122270 0.033148 -0.049716 -0.057251 -0.128817 0.023099 -0.019798 -0.008390 0.092751 -0.071192 -0.053920 0.007180 0.128711 0.100648 0.054007 0.016405 0.089104 -0.090729 -0.045056 -0.133919 0.030029 0.014123 0.036940 -0.069187 -0.038274 0.100624 0.105780 0.093719 -0.080241 -0.077833 0.015495 0.100454 -0.155572 -0.014378 0.103271 0.098941 -0.016336 0.059252 -0.065164 0.004678 -0.008818 -0.018451 0.074729 0.044874 0.122516 0.118133 -0.078970 0.015305 0.005636 0.138555 -0.071165 0.026935 0.081358 -0.075690 0.116600 0.048564 -0.060429 -0.039789 -0.046203 -0.188576 0.121633 -0.064338 -0.025719 0.080658 0.015122 -0.007963 -0.006329 -0.104395 0.000169 0.110466
-eigentlich 0.012236 0.067053 0.072371 -0.106449 0.125363 -0.020457 -0.005276 -0.081266 -0.017465 -0.087707 -0.070467 -0.030272 0.025171 0.132375 0.091349 0.138677 0.105529 0.073375 -0.079317 0.047738 0.083404 -0.047334 0.135048 -0.093219 0.018515 0.000207 -0.099860 0.060957 0.024227 0.022051 0.093971 0.016828 0.109151 -0.078599 -0.019174 0.003053 -0.046496 0.090465 0.173048 0.064708 -0.019446 -0.086566 0.018724 0.028832 -0.015001 0.079394 0.053355 0.078480 0.011931 -0.007579 0.020953 0.080566 0.099784 -0.012206 0.017616 0.047329 -0.132090 0.080265 -0.122555 0.052381 -0.002498 0.003219 0.063963 -0.012113 -0.097969 -0.234454 -0.061484 -0.022370 0.013218 -0.137548 -0.120383 0.055649 0.030103 0.108334 0.032875 -0.030165 -0.110079 0.048820 -0.052608 0.001332 0.157596 -0.075155 0.075208 0.039818 0.111084 0.030018 0.067488 0.023943 -0.035028 0.006643 0.036574 0.185903 -0.052825 -0.023583 0.118227 -0.072604 -0.036470 -0.024567 -0.001888 0.051309 -0.065852 0.057777 0.108003 -0.060871 -0.111279 -0.023517 -0.032835 0.056647 -0.023030 0.057721 0.105964 -0.015436 0.046465 0.047479 0.115961 0.106312 0.043447 0.045972 -0.024844 -0.042960 -0.043417 0.020536 0.010420 0.065710 0.108684 0.100572 0.243859 0.036427 -0.094173 -0.085471 -0.123041 -0.050491 -0.094221 -0.104318 -0.180194 0.100966 0.107568 -0.122362 -0.123516 -0.133873 -0.052915 0.099514 0.098802 -0.002857 -0.054400 0.024942 0.036612 -0.266138 0.134271 0.136547 0.058822 0.028011 -0.076089 -0.031913 -0.007677 -0.041262 0.021662 -0.002420 0.086875 -0.001276 -0.115986 -0.046125 -0.074613 -0.138889 0.026427 -0.060168 0.050855 0.133054 0.168478 -0.026800 0.077637 -0.023321 0.059199 -0.024726 0.025102 -0.007573 0.040648 0.076775 0.152498 -0.104880 0.124270 0.088846 -0.164787 0.075458 -0.065861 -0.018968 -0.012701 0.098391 -0.006024 -0.083236 0.191814 -0.125972 -0.081121 0.008604 0.176512 -0.033291 -0.156696 0.056511 0.001253 -0.033315 0.161576 0.174585 -0.004155 0.104201 0.023817 -0.054918 -0.036864 0.138574 0.011695 0.021478 -0.163663 0.000568 0.089929 -0.046430 -0.018858 0.092408 -0.040615 -0.016712 -0.061248 0.048936 -0.006376 -0.017070 -0.062340 0.036704 0.001471 -0.108642 0.008079 0.065385 -0.048824 0.120735 0.094287 0.062063 0.072097 -0.012726 -0.032090 -0.107652 -0.028328 -0.054876 -0.058256 0.047041 0.107635 0.133281 0.052029 -0.091988 -0.136715 0.007025 -0.063610 0.108392 -0.054083 0.062122 -0.052932 -0.060528 0.106879 -0.016564 -0.051466 0.047712
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-Entscheidung 0.025534 0.243996 -0.095538 0.116751 0.042873 0.169866 0.332776 -0.078205 -0.195455 0.059710 0.120726 0.182908 0.131128 0.244836 -0.042836 -0.034413 -0.076356 -0.099061 -0.074482 0.028685 -0.180079 -0.028631 -0.153278 0.188269 -0.030144 0.104915 0.124629 -0.192846 0.178458 0.059736 0.208744 0.191380 -0.026750 -0.183891 -0.207159 0.103142 -0.073812 0.038730 0.185581 0.080693 0.200529 -0.102132 -0.102957 -0.019750 -0.035544 0.103499 -0.040342 0.054732 0.059955 0.305957 -0.069218 -0.025802 -0.142465 0.195061 0.010760 -0.059705 -0.185850 0.162311 -0.068607 0.024854 -0.157638 -0.105581 -0.275165 0.136849 -0.076861 0.006083 -0.140063 0.109795 0.010947 -0.045411 -0.124153 0.091012 0.096080 -0.041676 0.239645 0.117778 0.041235 0.063139 0.157096 -0.095462 0.147265 -0.060238 -0.015280 0.025405 0.100303 -0.024669 0.001682 -0.224699 0.027248 0.045109 -0.023388 0.174710 -0.066037 -0.265802 -0.128129 0.048274 0.215216 0.081979 -0.015754 -0.100498 -0.131253 -0.071980 -0.140622 -0.014189 -0.071863 -0.115720 -0.052150 0.143892 0.095857 0.149297 0.034398 -0.069899 0.015926 0.033163 0.036082 -0.100550 0.165828 0.041738 -0.114183 0.141666 0.041312 -0.006650 0.021835 -0.156461 -0.134674 0.083316 0.070872 0.162401 -0.062248 -0.082617 0.024111 0.061646 0.089922 -0.089309 -0.006713 -0.017919 -0.012470 -0.045816 0.017320 -0.036881 -0.110312 0.003641 -0.061705 0.018654 -0.152868 -0.167002 -0.157834 -0.002634 0.190851 -0.019237 -0.069656 -0.076757 -0.093527 -0.303851 -0.006620 0.163961 0.037497 0.105472 -0.002702 0.299921 -0.195863 -0.190848 -0.107530 -0.017753 -0.233758 -0.055886 -0.077320 -0.075417 -0.051728 0.118329 -0.203965 0.067667 0.001098 -0.069427 -0.070407 0.143539 0.049184 -0.172393 -0.184910 0.089568 -0.237623 0.204101 0.047785 0.087898 0.143407 -0.192696 0.070252 0.073605 0.166887 0.037188 -0.126477 -0.037167 -0.337479 0.166182 -0.030460 0.071331 -0.002617 0.011113 0.089171 -0.053561 -0.106411 0.328449 0.021230 -0.041537 -0.014688 -0.005366 -0.009256 0.122368 0.020119 0.019712 -0.115882 -0.076597 0.041262 -0.101121 0.008735 0.102003 -0.026777 0.043201 0.035867 0.122212 0.070000 -0.191666 -0.166402 -0.059013 0.101012 0.035431 -0.043409 0.032350 -0.023814 -0.075552 -0.136357 -0.047250 -0.189445 -0.043596 0.143769 -0.098317 0.072499 -0.250297 -0.126157 0.008739 -0.062605 -0.143110 0.013786 0.086638 0.081953 0.146564 -0.043168 -0.056994 -0.188376 -0.094856 -0.050281 -0.067245 -0.028549 0.033844 0.148229 0.079591
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-Natürlich -0.181704 0.008766 -0.080156 0.063741 -0.052791 0.033837 0.175641 -0.122595 0.102946 -0.076415 0.056594 -0.022416 0.098283 0.011903 -0.055754 0.205785 0.018147 -0.021232 0.079679 -0.086148 0.016172 -0.038331 -0.092054 0.117241 -0.171507 0.059438 0.048441 0.169656 0.040154 0.021427 -0.058603 -0.046589 0.009410 0.047178 0.042545 -0.019248 -0.006220 -0.196570 -0.100198 -0.009819 -0.089403 0.048270 0.127808 0.017223 0.055764 0.108014 0.115727 0.101145 0.029170 -0.150089 0.045966 -0.108337 0.046272 0.065783 0.105245 -0.054654 -0.008687 0.033540 0.138942 0.002652 -0.043606 0.010823 0.025380 -0.181899 0.018669 0.061266 -0.077126 -0.010645 -0.009425 -0.036596 0.042069 -0.007715 -0.109937 -0.142670 0.071961 -0.092990 -0.067066 -0.073115 0.084847 -0.052292 0.185347 -0.034115 -0.033892 -0.049155 0.061528 -0.059092 0.072402 0.022881 -0.000449 0.068333 0.098941 0.103494 -0.046151 0.145024 0.083455 -0.017825 0.032533 -0.090112 -0.064772 0.014650 0.005641 -0.062842 -0.108609 0.018287 -0.085036 -0.083442 0.017686 -0.032314 -0.004527 0.018265 -0.167034 -0.029502 0.026494 -0.054309 0.144072 -0.085136 -0.001792 0.064128 -0.074419 0.034188 -0.020502 -0.019948 -0.022721 -0.178572 0.118467 -0.077460 -0.161911 -0.155878 -0.033139 -0.065485 -0.066141 0.056525 0.000984 -0.061046 -0.220131 0.019684 -0.074747 0.030760 0.071284 -0.063867 -0.045785 -0.017586 -0.113550 -0.118135 -0.214997 -0.081521 -0.023627 0.106761 0.071116 0.102024 0.011716 -0.129569 0.000978 -0.048685 -0.102712 0.018537 -0.153340 -0.043554 -0.066500 -0.098959 -0.018790 -0.031285 0.167221 -0.061946 -0.020321 0.072843 -0.121404 -0.041289 -0.103130 0.012900 -0.010065 0.064326 0.047955 -0.011181 0.095606 -0.044294 0.086887 -0.075779 0.085580 -0.084177 -0.019940 0.147101 -0.155612 -0.106304 0.164943 -0.075071 -0.045656 -0.086019 0.142982 -0.059323 0.035034 0.075440 -0.070630 0.016507 -0.003658 0.035584 0.127927 0.114889 -0.145771 -0.087073 0.007580 -0.000719 0.225652 0.059527 -0.010272 0.075421 -0.031279 -0.034642 -0.026326 -0.106952 0.012515 -0.072334 -0.029143 -0.015254 -0.119047 -0.026742 0.155215 -0.001622 -0.076946 -0.118935 -0.158862 -0.095003 0.025876 0.110354 0.084778 0.236464 -0.081737 0.009625 -0.196346 -0.051111 -0.168326 0.135349 0.075328 -0.008868 -0.004709 -0.070699 0.054666 -0.010557 -0.086594 -0.011031 -0.035089 0.121230 -0.191735 0.004505 0.090598 -0.021695 0.156291 -0.078891 0.152157 0.068248 -0.066571 -0.064173 -0.096248 -0.177574 0.119350 0.110570
-Verfassung -0.120363 -0.109813 0.147335 -0.002691 -0.060816 0.017612 0.036708 -0.047055 -0.006820 0.105653 0.049356 -0.099223 0.161010 -0.033391 -0.024376 -0.162613 0.025701 -0.038192 0.068454 0.061723 0.070288 0.086024 0.049211 -0.046902 -0.123736 0.210874 0.090869 -0.026494 0.065739 -0.007636 0.023021 0.059759 -0.021977 0.011229 -0.043654 0.079947 0.039486 -0.029000 -0.103130 -0.054519 -0.261068 0.058156 -0.123809 0.032567 -0.073899 0.094589 0.230080 -0.022966 -0.038655 0.116235 -0.064478 -0.123251 0.044215 0.085493 -0.003050 0.101323 0.026297 0.146906 -0.067365 0.062665 0.011730 0.064877 0.004731 -0.153906 0.068760 0.088980 -0.064466 -0.054597 0.084128 0.084430 -0.019673 -0.059990 -0.010311 0.083088 0.083062 -0.015183 -0.019052 0.040768 -0.032653 0.059485 0.037003 0.099423 0.012655 0.069830 0.073938 -0.172012 -0.089095 0.082367 -0.071742 0.141411 -0.066796 0.199316 0.207575 -0.012472 0.112016 -0.095836 0.030758 -0.102653 0.044876 0.012682 0.076069 0.042448 0.172350 -0.205436 0.076578 -0.060914 0.002427 0.003334 -0.032328 0.084390 -0.081464 0.197713 0.103304 0.008901 -0.080039 0.125132 -0.072615 -0.102190 0.015851 0.009959 0.132898 0.026775 0.043661 -0.039351 -0.007605 -0.111562 -0.110887 0.027276 -0.059383 0.085366 -0.050365 -0.060615 -0.175708 -0.114847 -0.159676 -0.156397 0.021061 0.013219 0.032323 -0.102410 -0.020829 0.099729 0.025406 0.186011 -0.087348 0.071679 -0.090753 0.008113 -0.015044 -0.022156 -0.031371 -0.087388 0.000108 0.107640 -0.013292 -0.084078 0.049798 -0.125109 0.056605 0.129565 -0.075910 0.125035 0.120343 -0.099763 0.035262 -0.085085 0.128143 0.013731 0.010519 -0.082848 -0.001189 -0.055921 0.074419 -0.008651 0.109733 -0.164389 -0.032768 0.079748 -0.070412 0.080434 -0.023676 -0.038992 -0.072064 -0.095650 0.013562 0.122191 0.112255 0.094417 -0.015654 -0.045399 0.055287 0.021301 0.093521 0.246056 0.016623 -0.140711 -0.073124 0.156124 -0.038321 0.048946 -0.011896 0.053549 0.048514 0.068550 -0.057267 0.003875 -0.035317 -0.037924 -0.030918 -0.035181 -0.024995 -0.003312 0.026892 -0.161659 0.109134 -0.060495 0.060758 0.200633 -0.022947 0.089490 -0.100233 0.063464 0.047718 -0.109655 0.102472 -0.055704 0.201987 0.071716 -0.074989 -0.019482 -0.083065 0.078906 -0.013694 -0.060313 -0.139213 0.101951 0.019168 0.029253 0.076350 0.077493 0.183908 -0.018608 0.024719 0.076895 0.007265 0.074412 0.058536 0.232157 0.037225 0.014489 -0.025905 0.178355 -0.049572 0.043687 0.007062 -0.143530
-angenommen -0.043604 0.045279 -0.183415 -0.109880 -0.091016 0.057074 -0.037976 -0.097240 0.042454 -0.011652 0.037618 -0.076942 -0.020776 -0.004327 0.144197 -0.070917 0.214822 -0.321654 -0.042265 0.151915 0.011073 0.005491 -0.031246 0.064816 0.089162 -0.107298 -0.005864 -0.061671 -0.009859 -0.129205 0.018953 -0.146911 0.182736 0.117468 0.140086 -0.054750 0.082328 0.058111 -0.147249 -0.138048 -0.063553 0.094132 0.153184 0.003814 -0.014477 0.005437 0.074979 0.118556 0.089663 -0.215379 0.047470 -0.046944 0.102222 -0.067511 -0.204074 -0.241693 -0.034352 -0.157539 -0.036095 -0.156287 0.240730 -0.124565 0.058015 -0.108764 -0.012325 0.125352 0.103031 0.231063 -0.244896 0.089461 0.160591 -0.025414 0.002699 0.045023 -0.195555 -0.032951 -0.069680 0.136642 0.146468 0.028442 -0.063636 0.065603 0.107463 -0.368621 -0.234146 0.047901 0.180788 -0.083634 0.030854 -0.151571 0.022916 0.001966 -0.188844 -0.010754 0.083828 -0.037269 -0.261551 -0.032066 -0.185765 0.006077 -0.212419 -0.190560 -0.239536 0.103738 0.049335 -0.078665 0.032618 0.086091 0.319924 -0.002406 -0.109804 -0.229236 -0.041940 -0.036609 -0.061345 -0.005522 -0.203555 0.220476 -0.012127 -0.127059 -0.084475 -0.192303 0.037270 0.034642 -0.008545 -0.170602 -0.091819 -0.138998 -0.097230 0.059035 0.019598 0.108961 0.016541 0.046604 0.072031 0.072060 0.046769 -0.041015 0.041122 -0.076335 -0.148659 -0.358361 -0.284626 -0.137260 0.163662 -0.229089 0.205200 0.083252 -0.020111 0.023244 -0.049593 0.017857 0.012722 -0.016932 0.019130 -0.014373 0.010712 0.060743 -0.075458 -0.193662 0.241078 0.078397 0.281500 -0.024357 0.042897 -0.011393 -0.266878 0.239118 0.006500 -0.062239 0.279261 -0.089408 -0.035726 0.012089 0.162396 -0.066344 0.263016 0.064883 0.056745 -0.054297 0.190839 -0.059577 -0.200462 -0.008218 0.027064 -0.151002 -0.285283 -0.022225 -0.239893 0.079550 0.020758 0.227876 0.189524 0.095449 -0.036598 0.008499 0.260361 0.065336 0.036944 0.091985 -0.139658 -0.152957 -0.141134 -0.072023 -0.047312 -0.050551 -0.167450 -0.137839 0.128408 -0.190257 -0.049138 -0.096652 -0.044524 0.114064 -0.052348 -0.032584 0.094974 -0.304837 0.078895 -0.188639 -0.180990 -0.001715 0.074883 0.040306 -0.240093 0.130935 -0.150531 0.079240 -0.008087 0.074427 0.040432 0.079652 0.118978 0.095565 -0.109351 0.082562 -0.035129 -0.059284 0.159073 -0.126840 0.046107 0.100362 -0.052719 0.058725 0.110410 0.071317 0.011288 -0.114031 0.146656 -0.024347 0.245802 0.022506 0.180725 0.230260 0.048088 0.094993
-bisher 0.085080 0.005634 0.220715 0.067297 -0.086035 -0.031878 -0.175407 0.027530 0.094954 0.023539 0.108885 0.038805 0.126147 -0.147413 0.054346 -0.039222 0.117842 0.059539 -0.101684 -0.072342 -0.003482 -0.130989 0.122109 0.023649 -0.008989 0.031539 -0.113030 -0.155319 0.098393 0.014976 -0.058252 -0.148543 -0.152271 -0.119751 0.073516 -0.091835 -0.081612 0.132285 0.116998 -0.054694 -0.017618 -0.081582 -0.143064 0.012683 0.022549 -0.035519 0.063133 -0.037850 -0.088466 0.000765 0.125704 0.008292 -0.024801 -0.142569 0.057330 -0.128310 -0.100319 0.202933 -0.058352 -0.008370 -0.009246 -0.041822 -0.022279 -0.066003 0.086915 0.029690 0.023375 0.129458 0.014844 0.093372 0.069270 0.060029 -0.064794 -0.042607 0.030196 -0.127181 0.016469 -0.016071 -0.095291 -0.006661 -0.099314 -0.087968 -0.002558 -0.124743 0.093146 -0.018760 0.100402 0.022832 0.141069 -0.103149 0.033703 0.044103 -0.092249 -0.033228 -0.039304 -0.044387 -0.000735 0.066893 0.062128 0.087164 -0.080235 0.114220 -0.017567 0.132826 -0.002436 -0.050345 -0.039605 0.114900 -0.032118 -0.058930 0.163473 0.089389 0.026542 0.060499 0.114200 -0.093114 -0.109649 -0.039216 0.015468 -0.083355 0.106730 0.019413 -0.020916 -0.064821 -0.051954 -0.080195 0.028308 0.013870 -0.021171 0.006693 -0.095224 -0.077549 0.058608 0.001995 -0.076770 -0.041888 -0.004721 -0.054511 0.077140 0.136757 0.052312 -0.034219 -0.132097 -0.082685 0.015692 -0.074851 -0.074089 -0.077372 0.027214 0.021727 0.002280 -0.021790 0.083131 -0.142104 -0.039485 0.053513 0.040381 0.010433 -0.044548 -0.037977 0.023990 -0.052481 -0.162091 -0.033989 -0.029385 -0.093923 0.086024 0.158274 -0.033216 0.001096 -0.055769 -0.137483 0.015234 0.154288 0.122838 -0.062728 -0.024373 -0.096173 0.051702 -0.011532 -0.004713 -0.043313 -0.035701 -0.090219 -0.006703 -0.012132 -0.055838 0.191714 0.075754 0.026687 0.178170 -0.097843 -0.008348 -0.135857 0.074096 0.048457 -0.097572 0.055541 -0.046686 -0.136042 0.148736 0.132656 -0.052155 -0.049253 0.142206 -0.079547 0.040058 0.055646 -0.151113 -0.039382 0.052086 0.058935 0.012093 -0.001604 0.102219 0.132830 -0.058750 -0.239872 -0.046472 -0.013167 -0.020222 -0.037585 0.087153 0.036639 0.089421 -0.044469 0.080678 0.050360 -0.006479 -0.096635 -0.112355 0.031314 0.103530 0.013753 -0.015740 -0.090279 0.126438 -0.010749 -0.031025 -0.113233 0.090729 0.064928 0.086160 -0.089244 -0.100413 -0.033229 0.041607 -0.011023 -0.062228 0.115296 0.053118 -0.076151 -0.148083 0.102589 0.000127 -0.060775
-erfahren 0.030785 -0.041633 -0.110903 -0.159934 0.033091 0.017430 -0.018175 0.009507 0.069140 0.051811 0.017050 0.097884 0.076852 -0.276816 0.062121 -0.060404 0.009169 0.015656 0.024652 -0.139424 0.029139 0.137123 0.104430 0.075255 0.098573 -0.004689 0.196999 -0.087577 -0.047837 -0.012028 -0.116778 0.073238 0.078834 0.064872 -0.022770 0.083886 -0.012273 0.083475 -0.029508 0.004670 0.049212 -0.182397 0.241931 0.007466 -0.050959 -0.081247 0.161764 -0.016488 -0.042635 0.040215 0.026488 -0.136536 0.028098 -0.096898 0.006773 -0.167373 -0.004102 0.043770 -0.002626 0.104802 -0.105461 -0.046712 -0.097176 -0.005152 -0.083683 -0.136605 -0.015877 0.091129 -0.019845 -0.095646 0.086170 -0.008358 0.039920 -0.030724 -0.008567 -0.079022 -0.166963 -0.023770 -0.063390 -0.054735 -0.067505 0.081106 0.157403 0.018093 -0.121141 0.055622 0.102249 -0.061901 0.153152 -0.138902 0.193115 0.066448 -0.030665 -0.017680 0.057505 0.092052 -0.077281 -0.086829 0.086258 -0.054405 0.085034 0.059782 0.064329 0.019754 0.033502 -0.030637 -0.114522 0.120541 0.119956 -0.041816 0.008880 -0.272843 0.083733 -0.006994 -0.086794 -0.077653 -0.048188 0.039763 0.066307 0.041265 -0.032239 -0.021555 -0.011148 -0.056262 -0.176107 0.023749 -0.128195 -0.072340 -0.022484 -0.196196 -0.041762 0.012962 0.161366 -0.037497 0.121127 -0.092420 -0.131421 0.066687 -0.039705 -0.076048 -0.009223 0.142467 -0.128218 -0.124783 -0.085605 -0.061541 0.087987 0.160446 0.082336 -0.098480 0.114060 0.005548 -0.083062 0.025609 0.016303 0.000279 0.017629 -0.024003 0.192775 -0.038034 0.087258 -0.025377 -0.108854 0.018414 0.206932 -0.020134 -0.012817 -0.128162 -0.058169 0.050110 -0.147236 0.127804 -0.089542 0.012461 -0.021673 0.016711 -0.028130 0.126219 -0.043959 0.031104 -0.036382 -0.007789 -0.096356 -0.026232 0.058734 0.107724 -0.076205 0.012834 -0.102076 0.106880 0.019213 0.013242 0.091257 -0.052933 -0.014129 -0.025650 0.123159 -0.132052 0.057581 0.043797 -0.037707 0.029189 -0.041588 -0.118634 0.021994 -0.066508 -0.105335 0.009804 -0.108752 0.034737 0.091173 -0.012417 -0.166889 -0.071631 -0.095276 -0.031609 -0.033060 0.181351 0.019812 0.010105 0.066466 0.074957 0.119946 0.060268 -0.029606 0.037909 0.045796 -0.056718 0.153287 -0.016898 0.017904 -0.006253 0.003978 0.064680 0.139165 0.022966 0.033276 0.143019 0.163911 -0.003255 -0.116335 -0.126638 -0.024635 0.020451 0.179775 0.015271 0.019068 -0.106949 0.071762 -0.163242 0.115049 -0.000077 -0.057055 0.137428 0.001244 -0.081343
-gemeinsam 0.209878 -0.094741 -0.141851 -0.031728 -0.259588 -0.156134 0.227199 -0.071107 0.032482 -0.230765 0.094167 -0.006342 -0.212414 0.042196 -0.072194 0.086990 0.070697 -0.076386 -0.141375 0.042778 -0.013201 -0.038363 -0.031774 0.028646 0.112985 -0.077151 0.003504 0.189110 -0.159839 -0.037941 -0.034568 -0.107130 -0.052608 -0.070087 -0.045979 0.083974 -0.132555 0.031942 0.111641 0.077405 -0.030853 -0.104208 0.133219 -0.027276 -0.092098 0.061092 -0.141386 0.103604 -0.058996 -0.146629 -0.023090 0.047758 0.095673 0.159570 0.069189 -0.024172 0.025855 0.182145 0.187423 -0.129208 0.044174 -0.006899 -0.183788 -0.005983 0.160185 0.145708 0.011194 0.033065 0.149488 -0.076505 -0.086187 0.104541 0.131901 -0.037231 -0.038029 -0.072241 0.016375 0.124878 -0.007388 -0.039904 -0.022521 -0.113460 -0.066494 0.008280 0.043981 0.073610 0.151540 -0.074088 0.038737 0.011113 0.113034 0.112068 0.022753 -0.017484 0.047067 -0.008271 -0.071641 0.075829 -0.100139 -0.015763 -0.055422 0.102035 -0.039248 -0.023507 -0.016121 0.124705 -0.123607 0.018531 0.103441 -0.070905 -0.141426 0.093847 -0.169527 -0.106983 -0.012106 -0.109554 0.033262 0.132811 0.022165 0.092380 -0.011582 0.121433 -0.016938 0.000945 -0.139057 0.056452 0.102148 0.016679 -0.163564 -0.016088 0.007094 0.000303 0.047022 -0.026201 0.042673 0.032663 0.175195 -0.002831 0.000618 0.072546 -0.026895 -0.086599 -0.101579 -0.158945 0.050081 -0.200155 -0.181478 0.012378 0.001504 -0.008649 -0.114288 -0.003714 0.063615 0.057120 -0.000441 -0.006251 -0.084981 -0.019644 0.230223 -0.107971 -0.021690 0.015279 0.079075 -0.101786 -0.096462 -0.119172 -0.224260 -0.058090 -0.035673 -0.105058 -0.126852 0.120609 0.037745 -0.002682 -0.046898 -0.024113 0.012894 -0.013243 -0.035573 -0.115228 -0.084426 -0.027348 -0.178380 0.074588 0.146555 -0.070713 -0.006984 -0.030534 0.067653 0.055949 0.129331 -0.079498 -0.048549 0.048582 -0.107304 -0.027059 0.038079 0.016323 0.087030 0.107887 0.024725 0.147188 0.051187 -0.028030 0.016105 0.003667 0.039322 0.023165 0.005034 -0.119768 -0.060846 -0.033655 0.018610 0.057817 0.073436 -0.019073 -0.061616 -0.031110 0.006364 0.001377 0.084838 -0.085838 0.138089 0.067295 -0.027510 0.071849 -0.111584 -0.041001 0.040874 0.027664 -0.072017 0.030174 -0.105293 -0.096864 0.083616 -0.123964 0.098966 -0.110606 -0.077284 -0.094209 -0.094161 0.108598 -0.162518 -0.058953 -0.067564 0.141451 0.060450 -0.024297 0.071722 -0.126330 0.149530 0.091793 0.049800 0.025587 0.039137 0.144525
-möglicherweise -0.033160 0.035622 0.036873 -0.039489 -0.029841 0.005602 -0.017796 0.045349 -0.088805 -0.031297 0.075276 -0.059369 0.068200 0.088119 -0.135066 -0.092789 -0.003534 0.021707 0.024510 -0.006036 -0.098542 0.003680 0.106785 -0.089055 -0.034384 -0.074852 0.103704 -0.082406 -0.049537 0.119742 0.066047 -0.005415 -0.026260 0.023125 0.055575 0.046727 0.158448 -0.045001 0.080502 0.088549 -0.010589 0.023529 0.021532 0.132600 -0.021365 0.082219 0.082873 -0.044104 0.034789 -0.016074 0.036523 0.099942 0.084178 -0.086136 -0.056843 0.056792 0.008416 -0.012410 -0.082269 -0.017517 -0.148819 -0.120083 -0.009948 0.001028 -0.005370 -0.072456 -0.139051 -0.044520 -0.031753 -0.108229 0.117169 -0.079307 -0.093021 0.039195 0.105390 0.161520 -0.013860 0.020009 -0.079967 -0.116848 0.124517 -0.016500 -0.037410 -0.035589 -0.002033 -0.007369 -0.119288 -0.102307 -0.015284 0.076980 -0.095293 0.060636 0.071732 -0.177937 0.078302 -0.019671 0.023701 0.030695 -0.074018 -0.093026 -0.173715 -0.012873 -0.027245 0.177978 -0.164046 0.115300 0.177842 0.043005 0.051248 0.221428 0.080774 0.059007 -0.030241 -0.071695 -0.042548 0.027130 0.026645 0.040486 0.127861 0.001735 -0.061851 0.122604 0.032339 -0.158410 0.158374 0.019204 0.054452 -0.097084 0.088787 -0.073720 0.075196 -0.046057 -0.028098 0.128494 -0.071020 0.043356 0.068459 0.134555 0.141023 0.063717 -0.034944 0.056084 0.052537 0.165142 0.040322 -0.047909 -0.089084 -0.125885 0.107421 0.109203 -0.144187 0.019472 0.105209 -0.116625 0.114343 -0.044657 0.178181 -0.052735 0.054456 0.069566 -0.129945 0.148949 -0.128186 -0.104595 -0.108581 0.031071 0.083205 0.082212 -0.039984 -0.013689 -0.041813 0.116178 -0.015017 0.050622 -0.034988 -0.028408 -0.073471 -0.053841 0.027764 -0.084889 0.091975 0.025184 0.139522 -0.038849 -0.067632 -0.014096 -0.007830 -0.011671 -0.058703 -0.015306 -0.075326 -0.020488 0.056159 0.034028 0.098874 -0.040035 -0.040053 -0.091556 0.186107 -0.007098 -0.066745 0.021270 -0.000416 -0.085103 0.112573 -0.076656 0.031804 0.036450 0.121099 -0.052297 -0.091052 -0.020100 0.004775 -0.092931 -0.043219 0.124286 -0.074709 0.050552 -0.043459 0.118927 0.035407 0.029139 0.021926 -0.018349 -0.035392 -0.138651 -0.087249 -0.007380 0.105889 0.012192 0.050477 -0.027117 0.038310 -0.106923 0.136094 -0.047474 -0.077962 -0.049616 0.040843 0.090160 -0.059356 0.012155 0.065517 0.076427 -0.078943 0.019127 0.064344 -0.025307 -0.171399 -0.033218 -0.053399 -0.152017 -0.021418 -0.152174 -0.125142 -0.026036
-per 0.190355 0.049397 -0.014462 -0.182321 0.082381 -0.187163 -0.087424 0.134567 0.096273 -0.003051 -0.057101 -0.060582 -0.147846 -0.058870 -0.052507 -0.139291 0.056677 -0.014353 0.049592 -0.038238 0.180410 0.067941 0.033851 0.049187 0.047603 -0.040932 0.120633 0.035046 -0.254855 0.041181 0.053868 0.018276 0.116872 0.063448 -0.021434 0.075687 -0.183021 -0.071679 0.085872 -0.003304 0.038249 0.029960 0.218037 0.096613 -0.009118 -0.266046 -0.092780 -0.135585 -0.212297 -0.048291 -0.197646 -0.050469 -0.164369 -0.110967 -0.054624 0.092062 0.141117 -0.065822 -0.108582 0.054401 0.104528 0.179884 0.008272 -0.050008 -0.197324 -0.100911 0.049953 -0.064027 -0.089724 0.035051 -0.065583 0.098366 0.090940 0.128615 0.002629 0.029695 0.022200 0.022931 -0.043148 0.030634 -0.018325 0.092766 0.138191 -0.015514 -0.086797 -0.024454 0.001733 -0.083177 -0.043360 0.075273 0.076922 0.062429 0.093402 -0.119675 -0.137690 0.140695 -0.031344 0.018868 0.124244 -0.143778 0.151908 -0.012640 -0.058149 0.036956 -0.042476 -0.000696 -0.025782 -0.120388 0.014626 0.005763 0.096002 -0.102848 -0.078071 -0.153233 -0.058199 -0.021099 -0.132324 -0.074076 0.073172 -0.002739 0.109929 -0.074835 0.034717 0.042915 -0.071689 0.125913 -0.089624 -0.180724 -0.053458 -0.017429 -0.069943 0.117973 -0.007076 -0.086987 0.124730 -0.144740 -0.006260 -0.021501 -0.070085 -0.104416 0.103885 0.001338 0.011908 -0.042103 -0.097968 0.030153 0.117203 -0.089340 -0.069768 -0.041167 0.014515 -0.062999 0.029319 0.069009 -0.021539 -0.159131 0.019005 -0.132146 0.068521 0.106514 0.045671 0.212962 -0.010888 0.071414 0.195965 -0.009082 -0.048078 -0.066678 0.130769 -0.098111 0.054829 0.150787 -0.080020 -0.126022 0.060535 -0.011966 -0.017280 0.090409 0.080064 0.114334 0.020428 0.056917 -0.016604 0.132699 -0.014504 0.006019 -0.030899 0.113320 -0.273071 -0.056534 0.008985 -0.022289 -0.129639 -0.014911 -0.057727 -0.002722 0.170839 -0.115530 -0.009244 0.018644 -0.052253 -0.249173 -0.023580 -0.148235 0.025537 0.110868 0.131316 0.105397 -0.029520 -0.029859 -0.023308 0.005793 -0.117192 -0.012498 0.091416 0.044047 0.111710 0.056660 -0.152456 0.018970 0.112372 0.167979 -0.061846 -0.058830 -0.050518 -0.066264 -0.094217 0.040688 0.120346 -0.072842 0.189233 -0.080777 -0.129376 -0.033749 -0.102421 -0.040407 -0.066200 0.113958 0.054906 -0.012688 0.061901 -0.141734 0.154727 -0.044559 -0.179058 0.058665 0.028112 0.237788 -0.147149 -0.098912 -0.005096 0.001273 -0.058864 -0.005291 -0.179878 -0.156064
-Änderungen -0.028668 0.022616 0.053399 -0.025667 -0.135651 -0.028043 -0.075150 0.038371 0.008910 0.012925 -0.072915 0.027478 -0.033415 0.073835 -0.013597 -0.042115 0.036494 0.048959 0.120861 -0.063528 -0.111371 -0.052704 0.102976 0.002265 0.099659 -0.141719 0.026932 0.035465 0.106409 0.056847 -0.091713 0.038414 -0.092350 -0.111071 -0.003283 -0.119686 0.130589 -0.059673 0.043880 0.164601 0.178962 -0.055986 -0.069198 0.053125 -0.024150 0.020442 -0.175607 0.101708 0.022833 0.006128 0.009148 0.167154 0.033871 -0.024519 -0.089130 -0.090025 0.025880 0.082195 0.041979 0.054952 0.017534 0.070503 -0.014267 -0.095377 -0.110329 -0.016388 0.080420 0.065898 -0.012960 -0.071551 -0.007505 0.067470 0.016663 0.081931 0.050055 0.016005 0.125876 0.115617 -0.060165 -0.005626 -0.020030 -0.019922 -0.009279 -0.091848 0.101641 -0.075619 -0.077075 0.072297 0.026367 0.004504 0.031037 -0.136507 -0.116231 -0.021688 0.035661 0.018493 0.146990 0.008343 -0.048355 -0.114639 -0.099881 -0.120260 -0.106755 -0.056775 0.033701 0.084509 -0.024919 0.098272 -0.000018 0.090006 -0.069793 0.030115 -0.091946 -0.191149 -0.071129 -0.012657 -0.131031 -0.017001 -0.035890 0.020552 0.123935 -0.074472 -0.037064 0.001159 0.102771 0.161431 -0.021100 0.140256 -0.079343 -0.082961 -0.009341 0.057723 0.166969 0.060411 0.059095 0.010740 -0.049335 -0.037562 -0.070657 -0.050641 0.041010 -0.139951 -0.097755 0.038130 -0.021954 -0.006657 0.072623 -0.052151 -0.014558 0.160422 -0.081971 0.110837 0.031020 0.013257 -0.006048 0.051516 -0.087146 -0.021736 0.144121 0.044226 0.006974 0.060764 0.034317 -0.037593 -0.084283 0.068349 -0.023794 0.137673 -0.065760 0.021921 0.051560 0.094618 -0.081978 -0.059096 -0.116991 -0.047077 -0.077438 0.069321 -0.087798 -0.025522 0.007496 -0.048564 0.014124 0.153140 -0.081930 -0.106194 -0.038216 -0.045375 0.027769 -0.117064 -0.080960 -0.097262 0.032582 -0.046830 0.063031 0.152736 0.008831 -0.196195 -0.058168 0.073509 -0.076506 -0.075885 -0.008169 0.014913 -0.115819 -0.049031 -0.023258 0.011414 -0.104495 0.052530 0.114548 -0.031148 0.028189 0.170092 -0.082888 -0.004525 -0.100633 -0.063780 -0.041868 -0.152003 -0.030390 -0.085736 0.005556 -0.081332 0.022295 -0.046832 -0.028583 0.033413 0.029501 -0.006675 0.122801 -0.085666 0.085263 0.066217 0.046018 -0.000078 -0.144939 0.023575 0.069026 -0.028383 -0.101913 0.093745 -0.057460 -0.066386 -0.063049 -0.101857 -0.013360 -0.012383 0.159580 -0.050864 0.057130 -0.010436 -0.009366 -0.002872 -0.057023 -0.073500
-Änderungsanträge 0.215331 -0.202367 -0.045673 -0.018796 -0.125439 -0.171930 -0.128300 -0.004813 0.017935 -0.010523 0.124258 0.086613 -0.110363 0.087041 0.071321 -0.064587 -0.187353 0.133659 -0.092950 -0.137318 -0.097360 -0.081756 -0.096161 0.130170 -0.065776 0.069932 -0.009617 0.013352 0.053334 0.006054 0.009012 0.021959 0.005711 -0.031061 0.165990 0.043149 -0.084786 0.019611 0.009289 0.069356 0.043188 0.029257 0.091703 0.068649 0.118373 -0.026435 0.011472 -0.101009 -0.066585 -0.018959 -0.017301 0.095877 -0.049555 -0.126518 0.052724 -0.068846 0.192375 0.057500 -0.049752 -0.062474 -0.069334 -0.090755 0.013643 0.019085 -0.039553 -0.047637 -0.035358 -0.098480 0.133825 -0.078878 -0.053388 0.141834 -0.102622 0.076664 0.113421 0.084463 -0.018576 -0.136502 -0.036769 -0.049661 -0.022109 0.012723 0.039308 -0.120425 -0.055676 -0.003725 0.060114 -0.097008 -0.012195 0.094243 -0.030720 -0.115328 0.043430 -0.102576 -0.016765 0.032895 0.091884 0.130442 -0.058103 0.029343 -0.127350 0.037230 0.067364 0.001146 -0.064879 -0.095375 0.081806 -0.069081 -0.088716 0.097564 0.103783 0.010058 -0.089025 0.012878 -0.044469 -0.074632 -0.032016 -0.095396 0.101121 0.010445 0.184988 -0.016295 0.132549 0.115515 0.085888 0.082814 0.039875 -0.181830 -0.072004 -0.185511 0.095916 -0.083691 0.084081 -0.041114 -0.084089 0.086771 0.015901 0.005903 -0.006692 -0.046601 0.171528 -0.000940 0.058055 -0.050698 -0.117431 -0.013801 0.037829 -0.019539 0.061389 -0.117167 -0.159038 -0.007133 -0.037569 -0.036151 0.049598 -0.115199 -0.016022 -0.089860 0.016528 -0.049053 -0.011344 -0.013298 -0.148168 0.131543 -0.050995 -0.134194 0.178210 -0.096843 0.026210 0.036141 0.016716 0.000306 -0.014337 -0.035767 -0.119151 -0.017907 -0.036937 0.083857 0.156946 0.073142 -0.234578 -0.063891 -0.014586 0.129766 -0.011405 -0.047107 0.076237 0.032154 0.100734 -0.136076 -0.004161 -0.109790 -0.028602 0.048628 -0.007815 0.102356 0.078501 -0.044068 -0.048571 -0.103377 -0.032268 -0.061827 0.036765 -0.006581 0.079401 0.019771 0.176716 -0.017162 -0.012154 -0.109710 -0.071782 -0.017193 0.018373 -0.211165 0.004645 0.133347 -0.056868 -0.127811 -0.102175 0.048887 -0.033229 0.002222 -0.122575 0.098848 -0.031278 -0.123320 0.033606 0.048841 -0.026119 0.141065 -0.034763 0.056270 -0.030829 0.006135 -0.038396 0.067205 0.089791 0.039680 -0.036510 0.112636 -0.050295 -0.030838 -0.020406 -0.016213 0.004368 0.021830 -0.079402 0.060580 0.088626 0.054407 0.004589 -0.088487 -0.116393 0.112402 -0.128808 -0.020424
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-Einrichtungen -0.160049 0.142355 -0.105137 0.102590 -0.338744 0.004767 -0.024261 -0.239325 -0.144334 0.021560 -0.034146 0.021759 0.090115 0.035856 -0.175135 0.047211 -0.024919 -0.134120 0.049335 -0.050594 0.049609 0.181171 -0.117779 0.293468 0.254748 -0.062973 -0.093703 0.032599 -0.031290 0.143105 -0.136633 -0.155922 0.230187 0.044329 0.141132 -0.057726 0.142750 -0.024971 -0.162330 0.059418 -0.027438 0.013660 -0.113563 -0.078103 0.108008 0.110377 0.169906 0.133648 0.065341 -0.233246 0.244143 -0.198114 0.255766 -0.065631 0.040753 -0.226086 -0.178775 -0.044027 0.091602 -0.141896 0.234094 -0.090165 0.240566 0.115579 -0.060239 0.066377 0.227741 0.091731 -0.108940 -0.098234 0.050776 -0.064879 0.002223 -0.212954 -0.265841 -0.393893 -0.133197 0.105927 -0.079194 0.098383 0.016909 0.118947 0.020367 -0.075850 -0.059135 -0.060636 0.341017 -0.008121 0.183635 -0.048218 0.018739 0.023160 -0.180459 -0.068308 0.095114 0.053612 -0.239143 -0.155858 -0.200273 0.143716 -0.053155 -0.148084 -0.084136 0.016830 0.149250 0.035022 -0.107749 0.081165 0.103883 -0.016222 -0.071701 -0.053042 -0.013766 0.199182 0.001191 -0.145659 -0.049073 0.078581 -0.043092 0.075155 0.013313 -0.275722 0.114859 0.006169 -0.043738 -0.207363 0.027811 0.057693 -0.184697 0.155233 -0.035116 0.054115 -0.030996 -0.012255 -0.011091 0.178657 0.228318 -0.099276 -0.082375 0.088418 0.051707 -0.026301 -0.209413 -0.418776 0.136941 -0.002784 0.089212 0.085030 -0.202361 0.280797 -0.148455 -0.003584 0.062432 0.142970 -0.011948 0.016514 -0.071608 0.082637 -0.257243 -0.100183 0.189722 0.051641 0.106383 -0.062346 -0.014329 0.104851 -0.260237 0.027427 -0.146342 -0.144110 0.238372 -0.093934 0.100848 0.155341 0.182370 0.113680 0.070014 0.190993 0.063643 -0.072084 0.004028 -0.054452 -0.136637 -0.079093 0.004712 -0.182159 -0.319362 -0.039839 0.043020 -0.005081 0.059403 0.139216 0.116399 -0.024943 -0.063526 -0.089825 0.294258 0.169455 -0.209188 0.075440 0.204908 -0.087269 0.018626 -0.093500 -0.018251 -0.238307 -0.068535 -0.287176 0.055925 -0.172106 0.008041 -0.131660 -0.046893 0.224373 0.097870 -0.158220 0.210331 -0.035724 -0.091054 -0.142494 -0.128788 0.018239 0.158170 0.135566 -0.214913 0.145891 -0.190067 0.102036 0.123196 0.001981 0.103003 -0.154442 0.086588 0.053176 0.114969 0.213674 -0.170173 -0.194103 -0.117597 -0.205688 0.026220 0.186228 -0.079899 0.006010 -0.159856 0.078305 0.208092 -0.052102 0.030098 0.144800 0.055734 0.156556 0.079114 0.207801 -0.095401 0.323188
-Firma -0.057204 0.162527 0.023411 -0.090986 -0.085430 0.020095 0.047537 -0.011444 0.035818 0.006961 -0.044791 0.074021 -0.066323 -0.071437 0.112923 0.107590 -0.132200 0.005708 0.148486 -0.143910 0.004013 -0.093341 -0.097406 0.007985 -0.058891 0.154317 0.057610 0.078665 0.088520 -0.090109 -0.141338 -0.020098 0.071526 -0.075047 0.088318 -0.011896 0.000639 -0.094112 -0.058817 0.046133 -0.048778 -0.010222 -0.014822 -0.060889 -0.007988 0.010177 -0.055080 0.083614 0.091433 -0.009864 0.085587 -0.081161 -0.032334 -0.046579 -0.094733 -0.135508 -0.006315 0.069106 -0.018375 -0.047104 -0.159808 0.004151 0.039189 -0.151968 -0.016030 -0.119506 -0.059495 -0.124802 -0.018105 0.140943 0.095215 0.040669 -0.236771 -0.113912 -0.074946 -0.041505 0.147500 0.100555 -0.060041 -0.054667 -0.028335 0.040306 0.079872 -0.034887 0.026563 -0.048864 -0.100811 0.002064 0.047759 -0.062950 0.084956 -0.119577 -0.013745 0.104984 -0.047441 0.032939 -0.084605 0.028560 0.092897 -0.049188 0.025419 0.012141 -0.041540 0.150332 -0.001775 -0.037299 0.017111 0.080943 0.124908 -0.104906 -0.005618 -0.069480 0.143730 0.013612 0.044257 0.049555 -0.095496 -0.024387 0.043548 -0.063923 -0.067497 0.063695 0.135389 -0.144398 -0.096031 0.027516 -0.162939 0.024646 0.091419 -0.092446 -0.119581 -0.140344 0.152124 -0.007065 0.026858 -0.130234 -0.001431 0.113919 -0.008630 0.017366 -0.043704 -0.227932 0.062600 0.118998 0.005397 0.082828 0.060583 0.069317 -0.040692 -0.053297 0.013331 0.008186 0.064491 0.167643 0.037756 0.086120 -0.123244 0.015191 0.104972 -0.046468 0.093212 -0.206768 0.014677 -0.093190 0.089676 0.066484 0.029132 -0.112729 -0.043463 0.097163 0.040794 -0.087249 -0.110302 0.015310 0.060685 0.117698 -0.084356 0.023647 0.077032 -0.111124 -0.007110 -0.030798 -0.031633 -0.098317 0.130965 0.022065 0.109128 -0.159050 0.050174 0.074637 -0.162535 -0.043472 0.072707 -0.079820 -0.028015 0.024549 0.093869 -0.038772 -0.168739 0.037931 -0.016361 -0.155724 0.035631 0.170094 -0.025922 -0.145358 0.013627 -0.110658 0.010669 0.001206 0.036961 0.064767 -0.107431 0.152056 -0.117804 0.005081 0.059697 0.133098 0.110251 -0.134374 -0.171833 0.008828 -0.019884 0.147228 0.013645 0.090304 0.010467 -0.036692 0.042384 -0.105439 0.072284 -0.010462 0.074332 0.110412 0.166846 0.122690 -0.011206 0.002959 -0.056513 0.007017 -0.127954 0.015808 -0.067510 0.061113 -0.033358 -0.015160 -0.043707 -0.226608 -0.027074 0.206272 0.212632 -0.088822 0.065297 -0.036525 0.192670 0.004908
-Flughafen 0.027271 -0.001160 0.067010 -0.002956 0.048476 -0.134983 0.069564 0.098709 0.059812 -0.073906 -0.020455 -0.036210 -0.149670 0.168695 0.084341 0.054544 -0.050884 0.064662 0.070309 0.019787 0.025820 0.036332 0.079541 0.057742 -0.064239 -0.022344 0.101625 -0.145840 0.020789 0.023398 -0.008055 0.084394 0.029906 -0.135905 -0.010842 -0.124068 -0.135268 0.028348 0.113351 0.150487 0.006820 -0.215419 -0.036940 0.067587 -0.132664 0.011606 -0.200470 0.029448 -0.015051 -0.026746 -0.020574 0.195112 -0.059900 0.108234 0.002802 0.119458 0.057257 -0.040630 -0.019909 -0.000509 0.010898 0.093174 0.005799 -0.093749 0.016605 -0.103779 0.005582 -0.142126 -0.103933 -0.177181 -0.004536 -0.028262 0.011934 0.090247 0.053021 0.170721 -0.021495 -0.115435 0.037981 -0.071435 0.026989 -0.020506 -0.086585 -0.076486 -0.052303 0.003428 -0.094560 -0.007944 0.082164 0.016264 0.067207 -0.004188 0.054375 0.011161 -0.044529 0.038417 0.037532 0.004070 -0.047859 -0.087454 -0.020625 0.124836 0.105125 -0.152842 -0.120366 0.001558 0.052895 0.032288 0.037269 -0.036909 0.105351 0.127863 -0.063147 -0.023134 -0.063725 0.031815 0.072116 0.013084 0.024084 0.053404 0.081319 0.060402 0.024484 0.043763 0.050231 0.151645 0.049674 -0.036261 0.042989 0.004250 -0.071225 -0.019431 0.054421 -0.075742 -0.058106 0.069550 0.040130 0.007931 -0.013157 0.007691 0.105619 0.011162 -0.071371 -0.062296 0.033076 -0.168967 0.036484 -0.000555 0.025175 0.030036 -0.137435 0.068646 -0.009170 0.054288 0.074131 -0.012184 0.133872 -0.084224 -0.086448 -0.058576 -0.000469 -0.073586 -0.003568 0.021136 -0.161069 -0.137249 -0.056540 -0.002480 0.061123 -0.074521 0.085083 0.124904 -0.093698 0.011970 -0.141681 0.085260 -0.040280 0.022797 0.087748 0.013650 0.070685 0.029869 0.184230 -0.052421 -0.133243 -0.005090 0.021334 0.118414 -0.048315 -0.023660 0.036082 -0.193974 -0.160242 0.019859 -0.079214 0.135681 0.054614 -0.022810 0.100103 0.006680 0.031363 0.079740 0.026908 -0.073578 0.012876 -0.058280 0.088876 0.018648 0.042155 0.025775 -0.023784 -0.142519 -0.005450 -0.155360 0.056825 0.022201 -0.133976 -0.071259 -0.057698 0.039967 -0.035681 0.045634 -0.116504 -0.110039 0.054410 -0.077003 0.012836 0.099325 0.032098 0.001495 0.233077 0.033345 -0.089521 -0.059795 0.012979 -0.106491 0.001261 -0.024931 0.055122 0.016956 -0.155228 0.040416 0.100714 -0.054654 -0.126864 0.094840 -0.155547 0.076370 -0.055584 0.042468 -0.078376 0.083849 -0.093571 0.092579 -0.064260 0.081788
-Forschung 0.169055 0.028757 0.103741 -0.079266 0.103128 -0.096852 -0.174794 -0.112540 -0.034287 -0.065052 0.037871 0.083793 -0.001602 0.096529 0.103078 -0.162282 0.196156 0.047107 0.020062 0.011298 0.013326 0.064524 0.175749 -0.050215 0.044374 -0.065771 0.152130 -0.250787 -0.067869 0.036710 0.034129 0.088434 -0.005981 -0.140840 -0.069565 -0.072759 -0.097587 0.111484 -0.017450 -0.085080 0.030826 -0.229064 0.095298 0.091351 -0.079805 -0.004665 -0.122481 0.123273 -0.144794 0.007444 0.009345 0.127599 0.033908 0.068679 0.076935 0.054251 0.100692 0.016922 0.033171 0.115116 -0.179876 0.070143 -0.191087 0.008612 0.089468 -0.041535 -0.081866 0.042445 -0.007529 -0.128179 0.077819 -0.048646 -0.127314 0.167018 0.061515 0.245756 -0.040936 -0.020345 0.229667 -0.063613 0.020462 0.011756 -0.153757 -0.089215 -0.061109 -0.131964 -0.088977 -0.064341 0.018865 0.035642 -0.037963 0.202175 0.021398 -0.035558 0.088139 -0.052391 -0.096743 -0.112429 0.096258 0.016716 -0.039817 0.068140 -0.024487 -0.109641 0.026928 -0.025735 -0.028029 0.105615 -0.050971 0.193348 0.087022 -0.122910 -0.058043 0.166305 -0.060267 -0.011175 -0.087730 0.067640 0.124645 -0.079203 0.047730 -0.033034 0.095988 -0.028896 -0.026023 0.077421 0.041448 -0.047504 0.027984 -0.127665 0.048548 0.043972 0.083756 -0.012446 -0.080128 0.145911 0.043549 -0.016985 0.001323 0.079703 0.019215 0.001461 -0.045539 -0.129221 0.068690 0.043166 -0.024689 -0.055107 0.089631 -0.093378 -0.049965 0.101924 -0.136697 -0.015850 -0.089498 0.044252 0.045248 -0.068692 -0.103044 0.085826 -0.059623 0.147627 0.095226 -0.196573 0.031911 -0.171648 0.072604 0.215803 -0.183770 -0.048694 -0.179192 0.062232 -0.035962 0.029355 -0.198172 0.042321 -0.081330 0.142478 0.131722 -0.024361 0.117421 -0.007404 0.126507 -0.021298 -0.299243 0.137177 -0.186601 0.146219 -0.159656 -0.170371 0.269359 0.025505 0.056556 0.050833 0.080692 0.172069 0.018774 -0.065392 0.113099 -0.162859 0.098528 -0.049935 -0.014577 0.012442 0.116032 0.064864 0.014081 0.111834 0.035563 0.125692 -0.147364 -0.169081 0.084776 -0.087930 0.200030 0.095341 -0.087169 -0.246523 0.009298 0.054046 -0.161345 -0.191615 -0.086585 0.090465 0.056080 -0.247973 -0.073741 -0.032094 -0.134497 -0.051556 0.172592 -0.039143 0.043328 0.073763 0.163830 -0.010379 -0.063611 -0.052550 0.103095 0.006943 -0.000604 -0.008624 -0.042895 -0.051594 -0.125088 -0.017439 -0.122602 0.191140 0.159604 0.003704 0.012896 -0.049575 0.092665 0.076509 -0.142584 0.011048
-Fortschritte 0.026930 0.086279 0.029786 0.085990 0.023450 0.094116 0.021727 0.036239 0.134874 -0.062194 -0.100651 -0.005632 -0.059773 -0.016083 -0.142967 0.005037 0.074342 0.062556 -0.086357 0.137778 0.120333 0.224454 0.200818 -0.082106 0.113898 0.031023 -0.047815 -0.155037 -0.018965 0.002770 0.051494 -0.079206 0.089764 0.113819 -0.030030 -0.108659 -0.116061 0.040126 -0.148946 -0.175957 0.027479 0.074479 -0.062891 -0.068285 0.036760 -0.038884 0.082228 0.052157 0.108080 0.025581 -0.004274 0.043273 0.063789 0.060589 -0.007071 0.003465 0.021875 -0.092561 0.029093 -0.132598 0.071354 0.051638 0.143596 0.128654 -0.065039 0.063667 -0.112153 0.006706 -0.114013 -0.014583 0.147778 -0.045089 -0.052723 -0.005990 -0.035883 -0.112908 -0.037341 0.028325 -0.057055 0.028938 -0.149984 0.095818 -0.108164 0.069946 0.038552 -0.055474 0.179470 0.043873 0.076532 0.000108 0.035948 -0.050277 -0.117800 0.017112 -0.056778 0.000926 -0.042649 -0.172376 -0.118242 0.052557 -0.115062 -0.041777 0.151411 0.070033 0.154092 -0.002558 0.010324 -0.097267 -0.002662 0.072896 -0.072399 -0.020839 -0.044450 0.016427 -0.088674 0.088714 -0.082257 0.036905 -0.115234 0.107816 0.069671 -0.087361 0.123289 0.108397 0.100793 -0.027894 -0.022872 0.076127 0.225675 0.084114 -0.112225 0.027456 0.019164 0.109094 0.082048 0.134495 -0.014104 -0.055656 0.026396 -0.060664 -0.026735 0.006257 -0.088935 0.004017 0.071648 0.050436 -0.030191 -0.108347 -0.182266 0.134741 -0.019173 0.007751 -0.008364 0.034115 0.032376 0.009033 0.049952 0.088264 -0.174953 -0.011300 0.136334 0.036841 0.119702 -0.060045 -0.032146 -0.108044 0.095573 0.155509 -0.042931 -0.080246 0.113295 -0.034582 0.159019 -0.030579 0.156089 -0.114232 0.061552 -0.013407 -0.101349 -0.014636 0.161991 -0.057334 0.006656 0.002439 -0.157548 -0.115974 -0.128612 -0.036388 -0.143096 -0.076635 0.015411 0.093127 0.035459 -0.038358 0.040855 0.052034 -0.080821 0.057230 -0.001349 0.124229 0.018764 -0.015836 -0.097626 -0.092747 -0.047858 -0.128326 -0.069015 -0.055844 0.064796 -0.028481 0.095829 -0.139859 -0.043356 0.065574 0.077183 -0.025002 0.064131 -0.154754 -0.088272 0.040223 -0.031997 -0.101036 0.014006 -0.112700 -0.058017 -0.003758 0.147899 0.059143 0.051684 -0.101925 0.124749 -0.030874 -0.015250 -0.093632 0.005248 0.033614 0.013767 -0.004137 -0.037232 -0.017659 0.078312 0.024473 -0.004715 0.112681 -0.032868 -0.147450 0.013777 -0.100193 0.129499 -0.173658 -0.090352 0.096078 0.140989 0.123111 -0.175335 0.082329
-Grundlage -0.001756 0.155437 -0.041786 -0.033683 -0.123939 0.064879 -0.110011 -0.262909 0.024509 -0.128674 -0.039718 -0.077197 -0.116679 0.013668 0.165139 -0.012003 -0.104790 -0.031192 0.061197 -0.036336 0.140433 -0.185381 -0.000433 0.043902 0.056728 0.027520 0.180075 0.023818 -0.117943 -0.056717 -0.025446 -0.038856 0.139959 0.170028 0.125543 -0.097141 -0.091122 0.015834 -0.140225 -0.123650 -0.021807 -0.088009 0.071261 0.008626 -0.031554 0.122986 -0.190642 0.067260 0.077116 -0.026562 0.015150 0.049895 0.112017 -0.222180 -0.014048 -0.201551 -0.228667 -0.199546 0.144663 0.004476 -0.053583 0.061234 0.056043 0.018291 0.013976 0.175642 0.045269 0.021488 -0.181828 0.049726 0.153846 -0.222487 -0.037611 -0.095016 -0.107625 0.053443 -0.043325 0.187552 -0.004319 0.135901 0.189693 0.070033 0.096531 -0.010448 -0.109538 -0.055393 -0.037432 0.133707 0.159498 -0.127071 0.132658 0.076832 -0.188115 -0.043413 0.175441 -0.084737 -0.049508 -0.105286 -0.083624 0.115012 -0.057923 -0.082534 -0.007772 0.023594 0.010986 -0.109407 -0.106012 0.057618 0.162372 -0.152792 -0.146671 -0.211693 -0.163332 0.064684 0.120006 -0.167864 -0.026908 0.202410 -0.118581 0.049952 -0.043005 0.018366 0.080004 0.024528 -0.117548 0.014117 -0.073163 0.081811 -0.082796 0.028900 -0.002352 -0.027243 -0.078929 -0.188290 -0.142822 0.168376 -0.083276 -0.009609 -0.040191 -0.026152 -0.161781 -0.005644 -0.098338 -0.136023 -0.045511 -0.133917 0.106517 0.117574 -0.176753 0.156925 0.263644 -0.064193 -0.171338 0.114158 -0.106759 0.105728 0.070615 -0.057177 -0.036549 -0.138284 0.164243 0.019705 0.096675 -0.118556 0.179117 -0.070008 -0.199845 0.075496 -0.138808 -0.103385 0.154569 -0.043823 -0.235763 0.178163 0.162980 0.170604 0.098484 0.142341 0.058043 -0.042378 0.191191 0.016947 -0.054976 -0.086952 0.013376 -0.004354 -0.152850 -0.241067 0.054505 0.044975 -0.144834 0.054017 0.033752 0.109935 0.000591 -0.110991 0.062982 0.100607 -0.027301 -0.041979 0.251556 0.070487 0.119725 -0.021713 0.015026 -0.006078 -0.035807 -0.036961 0.268545 -0.111018 0.075468 0.008271 -0.031299 0.052537 -0.110844 -0.024638 0.173935 0.096923 0.032900 -0.141700 -0.180613 -0.044889 0.144739 0.095373 -0.011347 0.066132 -0.182442 0.054471 -0.009569 -0.174458 0.059837 -0.031327 -0.008576 0.200857 0.048604 0.075349 -0.121136 -0.096380 -0.011086 -0.044353 -0.029431 -0.004945 -0.269059 0.205935 0.020285 -0.106578 0.086311 -0.172874 0.250828 0.141402 0.174936 0.026119 0.025754 0.069257 0.085061 0.099196
-Gäste 0.003264 0.076753 0.060597 0.005660 0.073779 0.055017 -0.091306 0.003083 0.064072 0.002523 -0.095127 -0.227475 -0.041486 -0.060038 0.066282 0.015539 -0.024839 0.092306 -0.036658 -0.043548 0.081253 0.042753 0.105025 -0.086539 -0.200626 0.048026 0.033575 -0.122640 -0.021427 -0.026514 0.026194 0.021002 -0.024003 -0.034599 -0.115153 -0.121160 -0.009228 0.199849 0.049404 0.065890 0.005934 -0.014120 -0.185942 0.130031 -0.067366 -0.066166 0.024182 -0.148882 -0.040330 0.088157 0.078011 0.053778 0.006769 -0.002961 -0.088272 0.103760 -0.155034 -0.099866 -0.082186 0.130562 -0.006457 -0.045411 0.081392 0.087391 -0.122699 -0.181396 0.128394 -0.076948 -0.021540 -0.037660 -0.056560 -0.094857 0.052982 0.214144 0.150790 0.103902 0.066490 0.006225 0.081407 -0.110458 0.125946 0.109743 0.007619 0.178374 0.026630 0.126419 0.042593 0.092513 0.126838 -0.089650 0.149700 -0.032389 -0.098935 -0.000546 0.023480 0.015751 0.076688 -0.084696 -0.021284 -0.001816 0.091519 -0.208323 -0.022818 0.099914 0.000907 0.150673 -0.121886 0.125282 0.030093 -0.118989 0.077197 -0.020565 -0.042868 0.055639 0.087290 -0.029987 0.025659 -0.080092 0.178610 0.070358 0.064644 0.056310 -0.050251 -0.133149 -0.063160 0.070619 -0.073666 0.130812 0.201638 0.020134 0.136698 -0.018438 0.077681 0.171950 0.017489 0.008851 -0.026501 0.192691 0.226614 -0.056857 0.156671 -0.054561 0.030813 0.046426 0.144562 0.010469 0.028532 0.049201 0.023595 0.054620 0.050987 0.141463 -0.109771 0.039605 0.110591 0.022237 0.135634 -0.069255 -0.100835 0.055719 -0.067842 -0.023764 0.019791 -0.085152 -0.002633 -0.006822 0.025741 0.283997 -0.120364 0.093489 -0.081010 0.202869 -0.018734 0.067598 -0.057923 0.147266 -0.116360 -0.074634 -0.007303 -0.075565 0.048532 0.071492 0.174242 -0.083155 -0.116477 0.072016 -0.042156 0.048897 -0.132901 -0.069093 -0.215407 -0.048440 0.014377 -0.084617 0.040431 0.061016 -0.240293 -0.107076 0.149442 -0.006308 0.018947 0.051926 -0.124601 0.028420 -0.006993 0.105066 0.019365 -0.151697 -0.000858 0.105154 -0.090958 -0.142662 -0.126470 0.054014 0.082304 0.158312 0.105396 -0.041688 -0.023280 0.024739 0.021462 0.075670 0.032789 0.016859 0.104900 -0.115367 -0.021047 0.069094 0.185554 0.059790 0.096262 -0.174469 0.013222 0.054879 -0.017622 0.045080 -0.098173 -0.068622 -0.033984 0.116437 -0.058854 -0.035680 0.119790 0.020646 0.121023 -0.034720 -0.086010 0.037042 -0.105739 -0.160402 -0.204210 -0.139379 0.087888 0.061235 0.046812 -0.041264
-Punkte -0.020285 -0.042940 -0.043255 0.042455 0.120034 0.146173 0.081951 -0.176290 0.075400 0.155800 0.028073 0.130651 -0.063891 0.198457 0.123724 0.091366 -0.091956 0.069598 -0.070130 -0.000256 0.011496 -0.033996 0.074845 0.081489 -0.078138 0.178699 0.006428 -0.098637 -0.033591 0.127676 0.133703 -0.062112 0.094736 0.018095 -0.077525 -0.011005 -0.134993 0.016821 -0.002277 0.038006 0.064078 0.062867 -0.157139 0.039645 0.066467 0.186435 -0.078829 -0.008624 0.057314 -0.100330 -0.019471 -0.006111 -0.019563 -0.115753 0.072528 0.046226 -0.064180 0.248701 0.016331 0.065640 0.118411 0.071856 0.038449 0.003058 -0.144372 0.011982 0.001942 -0.099671 -0.070450 -0.000866 0.065119 0.145232 -0.094499 0.054214 0.014899 0.059921 -0.060450 0.064611 -0.012829 0.051426 0.016995 0.059395 0.068688 -0.019433 0.227349 -0.053117 0.025399 -0.064570 -0.024680 0.066406 0.015397 -0.068854 -0.027051 0.020482 -0.048360 -0.106320 -0.030493 0.050420 0.104592 0.036302 0.011877 0.102975 0.012740 0.021595 -0.009706 -0.094380 0.203411 -0.023750 0.003492 0.104090 -0.197631 0.104898 0.113272 0.003438 0.107619 0.052240 0.099575 -0.080713 0.017191 -0.061907 0.104365 0.045208 -0.024457 -0.044995 0.006964 0.053152 0.031011 0.114469 -0.009457 0.142593 0.080783 -0.129804 0.015180 -0.042970 -0.078172 0.039025 -0.089429 -0.010887 0.041988 0.142644 0.035823 -0.062041 -0.088858 0.044571 0.112349 -0.054309 -0.020685 0.068153 0.048130 0.030629 -0.091790 -0.004843 0.001636 0.008778 0.078926 0.191533 -0.013167 0.056027 -0.012743 0.147478 0.019456 -0.068530 -0.090193 0.066788 -0.041858 0.137981 -0.077997 -0.051131 0.138935 -0.084064 0.085928 0.038239 0.008739 0.004747 -0.038035 0.005763 0.187193 -0.070966 0.081215 -0.009805 -0.128773 0.006322 0.007984 0.050460 0.014919 0.108850 0.118951 -0.041341 0.025810 0.060565 -0.131215 0.056620 0.072618 -0.026993 0.068116 -0.008330 0.111381 0.114110 0.064643 -0.070857 0.105614 0.065540 0.125951 -0.123869 -0.171020 -0.092993 -0.056747 -0.147037 0.009527 0.019244 -0.105936 -0.089986 0.200466 0.026536 -0.110064 0.053199 0.065837 -0.029568 -0.027864 0.075974 -0.015449 0.006826 -0.121539 0.021936 -0.064582 -0.072652 -0.171059 0.014955 -0.075671 0.010205 -0.217064 0.053526 -0.153270 -0.104183 -0.159449 0.089727 -0.176711 -0.093446 0.038846 0.012381 -0.101916 0.064952 -0.008004 -0.025463 0.100506 0.038301 -0.048799 0.038264 -0.120205 -0.049212 -0.072628 0.103220 0.100078 -0.063456 0.043404 -0.076573
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-vier -0.034397 -0.036580 0.069278 -0.035756 -0.013633 -0.132687 0.169050 0.023798 -0.016115 0.011610 0.012919 -0.041468 0.033242 0.104258 -0.105537 0.040288 0.191440 0.041932 0.048317 0.155944 -0.019546 0.052126 0.132696 -0.135715 -0.050495 -0.088832 -0.055010 -0.105840 -0.026857 0.011936 0.013163 0.104217 0.148147 0.136912 -0.048009 -0.013061 0.009800 -0.066463 -0.060951 -0.029518 -0.080766 -0.103206 0.046041 0.102819 -0.032510 0.008951 -0.019107 0.118063 0.067399 0.135699 -0.059794 -0.022543 0.009109 0.077310 -0.021797 0.251653 0.140004 -0.136244 -0.167365 0.206440 -0.095690 0.014526 -0.020772 0.043099 -0.063677 -0.151896 -0.112353 -0.089269 0.167625 0.018838 -0.043607 0.057960 0.073755 0.076374 0.005997 0.103021 0.066232 -0.097447 0.146357 0.036967 0.108551 0.052744 -0.025414 0.054030 0.006356 -0.115342 0.029983 -0.050905 -0.041652 -0.015545 0.010254 0.137751 0.147105 0.024836 0.099940 -0.125426 0.042446 -0.001908 -0.024218 0.039663 -0.131257 -0.075360 0.047241 -0.152958 0.040489 -0.022740 -0.003628 -0.094277 -0.053093 0.100077 0.084185 -0.050933 0.109517 0.112734 -0.166379 0.024660 0.086064 0.009652 0.016732 -0.141291 0.089383 0.044901 -0.184147 0.007722 0.077195 -0.021566 0.150212 -0.042443 -0.051956 -0.051971 -0.139338 -0.049290 0.024730 -0.060555 -0.156964 0.152693 0.043387 0.010197 0.075682 -0.160061 0.052820 0.125924 0.145086 -0.066324 -0.072243 0.084477 0.046924 -0.160479 0.026640 -0.062831 -0.189868 0.145241 0.001651 0.065340 0.066792 0.123669 0.121919 -0.053840 0.093444 0.098713 0.065549 0.047129 -0.090376 0.109469 -0.030593 -0.211443 -0.036224 -0.077816 0.107341 -0.001011 0.071818 0.056227 0.165036 -0.041007 -0.064288 0.034879 -0.120843 -0.030632 0.125230 0.098094 0.037763 0.260341 -0.068212 -0.009012 0.007376 0.067335 -0.048656 0.001150 0.052081 -0.008924 -0.124530 -0.101720 -0.015049 0.047642 -0.051620 -0.052081 -0.112603 0.053438 0.088056 0.037412 -0.028179 -0.064252 0.104192 0.106253 -0.004566 -0.015521 -0.013362 0.065247 0.017879 -0.070846 -0.222045 -0.024268 0.050427 -0.160827 -0.036364 0.085017 -0.003762 -0.022320 -0.066906 -0.051182 -0.083367 0.070294 -0.167761 -0.140675 -0.009054 -0.143389 0.185737 0.097293 0.051032 0.062595 0.124171 0.069691 -0.053054 0.005461 0.028686 0.044722 0.103531 -0.144270 0.036658 0.053237 0.138699 -0.103788 -0.175943 -0.040266 0.134936 -0.021008 0.089273 -0.055719 -0.112915 -0.113638 -0.057259 0.128077 -0.070764 0.002072 -0.022185 -0.137105
-völlig 0.054151 0.021917 0.059613 0.055438 -0.088570 0.083878 0.082750 -0.024241 -0.112227 -0.088321 0.208289 0.152040 -0.038867 0.086717 0.132994 -0.063011 0.163152 -0.029922 0.009292 0.045616 -0.048852 0.004129 0.061054 -0.096745 0.019829 -0.049815 -0.057820 -0.044531 0.092376 -0.048445 -0.036600 0.016656 -0.110172 -0.004266 0.069631 0.063937 0.012748 0.072670 0.092879 0.157645 -0.053351 -0.034500 0.028045 0.015950 -0.046350 -0.004664 -0.095276 0.047839 -0.050220 0.116719 -0.000110 0.066998 -0.135547 0.154730 -0.184010 -0.054386 0.058829 0.024992 -0.143568 0.091546 -0.041653 -0.006385 0.026554 0.009856 -0.081484 0.048029 0.037413 -0.098361 0.044751 0.071942 -0.041906 0.197729 0.095948 0.034625 0.035643 0.137885 0.070034 -0.010382 -0.121576 -0.260685 -0.091769 -0.127387 -0.127236 0.030198 0.016455 0.302748 -0.093029 -0.155297 -0.049822 0.011964 -0.091750 0.039384 -0.016700 -0.024996 -0.028165 0.086856 0.082314 0.041933 0.042346 -0.127599 -0.009293 0.067049 0.117061 0.045917 -0.102852 0.068568 -0.030161 -0.020575 0.143422 0.076792 0.029200 -0.069872 0.014031 -0.197658 0.007649 0.223648 -0.175806 0.010566 -0.068260 0.127948 -0.081494 0.012502 0.019252 0.068608 0.110736 0.028647 -0.135342 -0.020052 0.007014 -0.003007 0.178868 0.073100 0.129558 0.133283 0.074694 0.024315 -0.162602 0.099846 -0.065349 -0.146281 0.116977 0.008439 -0.063482 0.120311 -0.086685 0.098488 -0.104424 0.043073 -0.048825 -0.075776 -0.126410 -0.002966 0.011337 -0.176491 -0.054542 -0.098652 0.066284 -0.031733 0.043468 0.053203 -0.186028 0.054826 -0.032871 0.010666 -0.067322 0.071043 -0.028265 -0.121631 0.010046 0.092229 -0.037543 0.011627 0.104373 -0.083123 -0.104192 -0.098526 0.004458 -0.029329 0.047188 0.094073 0.088138 -0.006461 0.037069 0.084102 0.008683 -0.071433 0.014012 0.096791 -0.022490 0.048944 0.087470 -0.065161 -0.082526 0.028555 -0.105289 0.095356 0.041345 0.089696 0.176278 -0.109632 -0.058564 0.114623 -0.097022 0.031487 -0.001240 -0.030718 0.057019 0.121618 0.025218 0.105442 0.032835 -0.013107 -0.081098 -0.034009 0.046822 0.089945 0.057733 -0.063523 -0.154155 0.082504 0.080955 -0.116246 0.018727 0.047657 0.125701 -0.000858 -0.044649 -0.011899 0.162808 0.140222 -0.083283 0.088937 0.043244 -0.041266 -0.122126 -0.086186 -0.065508 0.079668 -0.052612 0.128515 -0.001990 -0.059465 -0.013086 0.016702 0.019537 -0.079065 -0.054878 -0.026482 -0.067114 0.080805 -0.128938 -0.122108 0.044102 -0.109834 -0.001754 -0.125401
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-zunächst 0.030382 0.065782 0.015787 -0.092702 -0.147647 -0.022474 0.095511 0.131113 -0.165422 -0.073290 0.028060 -0.133072 -0.032452 0.320284 -0.207501 0.025192 -0.033827 0.008100 0.017368 0.172113 -0.241479 0.010235 0.035257 0.046454 -0.072720 -0.173471 -0.200193 -0.076788 0.016389 0.160363 0.103138 0.202003 -0.002030 -0.088808 -0.058375 -0.182385 -0.005163 0.109914 0.014596 0.187457 -0.117186 -0.224156 -0.037629 0.240675 -0.241007 0.002552 0.016652 0.129688 -0.012374 0.225759 -0.045807 -0.024438 -0.147877 0.308294 -0.122058 0.100569 0.023209 -0.012991 -0.002390 0.148411 0.007281 -0.015688 0.098690 -0.026741 -0.094536 -0.059087 -0.051596 -0.039387 0.060617 -0.138719 -0.007306 0.166997 -0.047200 0.096798 0.129525 0.149632 0.175652 -0.171333 0.285227 -0.085209 -0.118774 -0.143439 -0.169903 0.148728 -0.111220 0.094707 0.024318 -0.050092 -0.038308 0.125219 -0.169774 0.241660 0.039814 -0.054522 -0.084021 -0.101428 0.064847 0.065122 -0.049309 -0.280123 -0.046289 0.024703 0.066645 -0.082028 -0.146492 -0.010316 0.024333 -0.038613 0.028275 0.124856 0.036044 -0.031063 0.028223 -0.207187 -0.081510 0.179255 -0.011961 -0.015705 -0.049069 0.098137 0.008499 0.116634 -0.131570 0.043727 -0.013332 0.186364 0.065569 -0.040205 0.090518 -0.123478 0.038093 0.193541 0.124824 0.059358 -0.076360 0.159767 -0.110110 0.001611 -0.082720 -0.151772 0.078292 0.106452 0.083866 0.143137 -0.228504 -0.112234 -0.080393 -0.107548 -0.005932 -0.008284 -0.009198 0.125029 0.127876 0.000738 0.093098 0.045617 0.084788 -0.017657 -0.010895 0.110729 -0.054894 0.020395 -0.098658 0.074060 -0.025363 -0.163924 0.058746 -0.220831 0.138709 0.044464 0.005955 0.054434 -0.018724 -0.114352 -0.330642 -0.176770 0.074979 -0.271418 -0.015546 0.016302 0.057355 0.006968 0.220968 0.018108 -0.125817 -0.138653 0.201088 -0.010955 -0.105627 -0.215396 -0.056828 -0.141933 -0.152286 -0.007856 -0.072053 0.042339 -0.053617 0.017536 0.028455 0.090641 -0.058737 0.036227 -0.038368 0.010599 0.006580 0.122406 0.231359 0.062049 -0.040862 -0.080870 -0.033835 -0.078305 0.009682 -0.185817 0.082706 0.176087 -0.187590 -0.092622 -0.118429 -0.047880 0.097847 -0.076970 -0.187408 -0.108269 0.177708 -0.162810 0.048128 0.216530 0.083386 0.178019 -0.013667 0.029334 -0.068518 -0.093236 0.240140 -0.248939 0.088663 0.149095 0.165055 0.127988 0.061308 -0.023091 0.005507 -0.046752 -0.115510 0.001185 0.005605 0.045102 0.035367 -0.177065 -0.073594 -0.085625 -0.244382 -0.049902 -0.039586 -0.141392
-zurück 0.003998 0.144080 -0.054243 -0.052530 -0.029309 0.006277 -0.219995 -0.140406 -0.030664 0.050242 0.027795 -0.019773 -0.087749 -0.065946 0.137175 0.037945 0.103141 -0.080772 -0.140169 0.138541 0.028261 -0.065275 -0.143003 0.000741 -0.003077 0.086246 0.047720 -0.060048 0.060022 -0.154191 0.025460 0.021296 -0.076219 0.096746 0.089457 -0.034529 0.003046 0.032418 -0.094319 -0.058394 -0.009842 0.222230 0.137755 -0.017440 -0.081445 -0.052524 0.114704 0.001761 0.300849 0.009538 0.153019 0.071306 0.022082 -0.151722 -0.031580 -0.017905 -0.053811 0.027782 0.163242 0.084688 0.146925 -0.094377 0.043167 -0.013400 0.085123 0.141378 -0.189587 0.108835 -0.107058 0.085986 0.052570 -0.077479 -0.149267 0.017902 -0.021202 0.086499 0.074330 0.123566 0.047843 0.053669 -0.009557 -0.012628 -0.025061 -0.113030 -0.223446 -0.064259 0.019174 0.100122 0.153135 -0.165763 0.028695 0.029309 -0.009583 0.017855 0.141086 -0.085350 -0.165318 -0.015092 -0.004958 0.136928 0.115880 -0.037619 -0.084095 0.066844 0.022602 -0.076132 0.071560 0.018360 0.210594 0.021271 -0.084401 -0.197341 0.027892 0.088881 -0.024665 0.058105 0.005135 0.042991 0.047754 -0.025640 0.035811 -0.148975 0.030910 -0.009990 -0.075141 -0.013450 -0.076734 -0.023242 -0.172538 -0.025838 0.093937 -0.160810 0.068879 -0.046973 -0.093254 0.060724 -0.058196 0.007559 0.013116 0.140206 -0.195607 0.051225 0.000231 -0.195281 -0.041695 0.024071 0.079089 0.144186 0.190908 0.095409 0.078973 -0.145363 -0.042256 0.027516 -0.204962 0.007719 -0.102216 0.010350 -0.146457 -0.057936 0.119381 -0.000781 0.046771 -0.022623 0.056469 -0.041584 -0.118790 0.012961 -0.077370 -0.142785 0.130346 -0.145660 -0.155722 0.019886 -0.084483 0.061762 0.200840 0.037507 0.073347 -0.092090 0.050158 0.109649 -0.134974 -0.025959 0.033399 0.035455 -0.200667 -0.095897 0.031627 0.049207 -0.039630 0.206214 0.128766 0.083387 0.006888 -0.073669 -0.086423 -0.019269 -0.008806 -0.043642 0.150566 -0.024771 0.011388 0.067965 0.006607 0.004853 -0.049207 0.015137 0.147497 -0.011199 0.085519 0.044723 0.129662 0.006296 -0.122812 0.046367 0.075246 -0.016225 0.184518 -0.095673 -0.146489 -0.033143 0.063786 0.033592 0.034983 0.185348 -0.087009 -0.098075 -0.199621 -0.071646 0.003142 0.008407 -0.038699 0.097064 -0.183843 -0.075893 0.094691 0.064718 -0.005402 -0.140087 0.003256 -0.021053 -0.065877 0.050491 0.033810 0.071279 -0.015930 -0.061153 0.010044 0.124547 0.159026 0.004081 0.012083 0.215851 0.015271 0.025423
-2006 0.072661 0.090084 0.148031 -0.102764 0.044850 0.092149 -0.184857 0.052049 -0.043244 0.025290 -0.167098 -0.094247 -0.020246 0.041315 -0.176749 -0.070962 0.001911 0.106222 -0.071594 -0.004643 0.038363 0.055200 0.107837 0.027805 -0.153284 -0.091630 0.068731 -0.076889 -0.001198 -0.106505 0.076119 0.164484 0.094294 0.025330 0.007912 0.086867 0.061314 0.080889 0.169483 0.037946 0.051720 0.155222 0.074398 -0.136497 0.052202 -0.176524 -0.166112 -0.082721 -0.180012 0.166798 -0.072171 0.024534 0.004346 -0.142458 0.031221 0.021008 0.118657 0.044672 0.047321 0.114627 -0.004263 -0.015191 -0.111170 -0.002513 0.006335 -0.086091 -0.077167 -0.096159 0.085865 -0.049670 -0.108542 0.024860 0.015291 0.032365 0.139139 -0.025412 -0.022202 -0.096242 -0.012314 -0.040100 -0.087617 -0.163456 -0.014710 -0.020010 0.010734 0.173127 -0.011023 -0.202500 -0.105374 -0.008479 -0.173036 0.007811 0.032038 0.125576 -0.080983 -0.044629 -0.117581 0.015057 0.151043 0.063558 -0.006741 0.121134 -0.075459 0.009996 0.050929 0.019816 -0.090425 0.072265 0.014728 0.036423 0.002050 -0.033233 -0.029405 -0.011338 -0.064676 0.017937 0.005604 -0.102683 -0.005960 0.030161 0.079823 -0.027488 -0.058271 -0.006114 -0.074924 0.203428 -0.131841 0.010707 0.041735 -0.123715 -0.026425 -0.024084 -0.040221 -0.098591 0.002719 0.073656 0.109224 0.107774 0.040338 0.092204 -0.107251 0.117877 0.091176 0.093438 0.005030 -0.065013 -0.037808 -0.025358 0.010729 0.103240 -0.182447 0.060252 0.129716 -0.064221 -0.124989 -0.153208 0.107431 0.037804 -0.137650 0.048970 0.108216 -0.142401 -0.183739 0.046197 0.004158 0.062609 0.058161 -0.030979 -0.126666 0.013061 -0.074488 -0.050763 0.028459 -0.019719 -0.151178 -0.075320 0.008561 -0.014634 0.082350 0.043994 -0.118945 -0.058130 0.080468 0.036317 -0.110269 0.115413 0.084599 -0.031631 -0.007599 -0.082922 0.024553 -0.001921 0.051216 -0.173196 0.051612 0.103748 0.022024 -0.005049 0.123180 0.025827 0.125823 0.019027 -0.100746 0.077514 -0.059138 0.074778 0.039473 -0.010228 0.049702 0.121532 0.065497 -0.131303 -0.126726 0.044776 0.187559 -0.002268 -0.059542 0.005492 0.030836 0.131608 0.092635 0.011146 -0.157347 -0.034862 0.082138 0.089416 -0.002817 0.041977 0.087427 0.024645 0.040869 -0.176450 0.107483 0.085942 -0.099421 0.072449 0.134581 -0.059152 0.199746 -0.054957 -0.169654 0.006528 0.155435 -0.090677 -0.004147 -0.129455 0.083304 0.071518 -0.122931 0.010138 -0.033377 -0.012687 0.080905 0.143509 -0.059744 -0.065295
-Aspekte -0.071270 -0.026753 0.052409 -0.064226 0.096389 0.063149 -0.033554 0.127189 0.028941 -0.047078 -0.006061 0.060574 -0.039614 0.021181 -0.124817 0.129817 0.030178 0.196725 0.136437 -0.094376 0.140382 0.074982 0.129707 0.116164 -0.103657 0.026886 -0.128670 0.001786 -0.106990 0.008106 -0.030065 0.103203 -0.084715 -0.096303 -0.073455 -0.077646 -0.064414 0.104501 0.185867 0.088534 0.037244 -0.108550 0.015388 0.051076 -0.037092 0.001796 -0.105923 -0.187326 -0.166697 -0.038945 -0.087065 0.204979 0.052184 0.006942 0.075339 0.107734 0.031208 0.018164 -0.042028 0.067543 -0.067209 0.118440 0.135176 -0.038868 0.078807 -0.071082 0.080945 -0.103292 0.212169 -0.107820 -0.050328 -0.026556 0.008223 0.103916 0.053169 0.077013 0.165214 -0.087623 -0.124184 -0.135443 0.011117 0.001141 -0.126305 0.179403 0.089956 -0.129299 -0.057947 -0.046503 -0.039097 0.066750 -0.115709 0.078606 0.012138 0.007483 -0.178022 0.079108 0.146750 -0.190316 0.004656 -0.186049 -0.057546 0.016798 -0.113796 0.044343 -0.015463 -0.042587 0.032826 0.100068 -0.094157 0.122280 -0.015645 0.050695 -0.179593 -0.032992 -0.041493 -0.047159 -0.009022 -0.218701 0.049730 0.128845 0.187998 0.177119 -0.061544 -0.055917 -0.008208 0.068649 -0.078843 -0.021938 -0.145213 -0.172963 -0.062468 0.044958 -0.111673 -0.056886 -0.080936 -0.082803 0.113147 0.156413 0.145672 0.005254 0.110521 0.147038 0.053956 -0.010506 -0.126952 -0.048921 -0.043183 -0.193445 0.039731 0.020965 -0.003286 0.082631 0.062614 0.002045 0.088251 -0.023118 0.103614 0.010660 0.140979 -0.073203 -0.180932 0.063737 -0.094623 0.112261 -0.056871 -0.121049 0.047067 -0.039133 0.011265 0.014442 -0.029100 0.084470 0.009594 -0.033732 0.037052 -0.025274 -0.195587 -0.112470 0.101114 0.053995 0.041939 0.069369 0.086331 0.051395 0.016659 0.079413 0.210869 0.145566 0.011575 -0.082969 0.014417 -0.158986 0.037337 -0.142003 0.141137 0.130533 -0.147323 -0.041651 0.038786 0.126462 0.092714 0.002534 0.102754 0.052439 -0.166650 0.043236 0.247128 -0.033051 0.081242 -0.095572 -0.094492 -0.084311 -0.152820 0.005323 0.037804 0.077953 -0.150797 -0.047188 -0.078517 0.039091 0.105533 0.121988 -0.114729 -0.003609 0.095331 -0.115004 -0.009146 0.031263 0.177488 -0.031863 0.076985 0.186539 -0.116032 0.037351 0.158047 -0.094059 0.041780 -0.107201 -0.095051 0.207918 0.058978 -0.011869 0.066851 -0.157428 -0.110280 -0.033736 -0.074588 0.123739 -0.048405 -0.033829 -0.053503 0.081297 0.014011 -0.063213 -0.019940 0.064159
-Benutzer -0.061428 -0.040471 -0.119399 0.008308 -0.144139 -0.026018 -0.004287 -0.037267 -0.148944 -0.099408 -0.041670 -0.200143 0.175042 0.017209 -0.186635 0.101136 -0.108657 -0.042587 0.185210 -0.002378 -0.043333 0.036351 -0.078998 -0.067624 -0.069292 -0.116272 0.123641 -0.122594 0.107473 0.121034 0.104645 0.002908 -0.101935 0.034296 -0.056280 0.132070 0.142461 0.078724 -0.017983 -0.151502 -0.205615 -0.149776 0.015695 0.155535 -0.112772 -0.122651 0.145318 0.108066 0.067213 0.063525 -0.117963 0.099313 -0.068207 0.144923 -0.029769 0.136397 0.041442 0.045584 0.009876 0.046905 -0.081321 0.010531 0.019954 0.120285 0.055371 0.053229 0.022012 -0.097158 0.136587 -0.016945 0.074923 -0.063115 -0.084555 0.159138 -0.110768 -0.093817 -0.136576 -0.117814 0.138082 -0.049600 0.063859 -0.084137 -0.058256 -0.004555 -0.031365 -0.022306 0.071178 0.043776 0.056050 -0.121745 -0.014435 -0.052517 -0.083730 0.065788 0.095429 -0.049633 0.142221 0.061525 -0.054888 0.004268 -0.061328 0.004981 -0.029767 0.008811 -0.119089 0.078724 -0.094343 0.021553 -0.049839 0.099544 -0.027633 -0.093756 0.078979 -0.000835 -0.092111 0.057354 0.050349 0.005309 -0.094170 -0.076533 -0.164503 0.207832 0.034707 0.093932 0.064180 -0.086419 -0.003445 -0.049672 -0.095418 -0.003019 0.146797 0.033392 -0.097684 -0.070742 -0.071525 0.090510 -0.119317 0.091598 0.091859 -0.160267 -0.063376 -0.067576 0.021709 0.035410 0.008065 -0.044954 -0.076992 0.136959 0.112950 -0.042295 0.082181 0.018822 0.120261 -0.123198 0.032626 0.017445 0.120827 0.045569 0.072569 0.029393 -0.032380 0.043631 -0.139575 0.088578 -0.035869 -0.025049 -0.038882 -0.018789 0.165495 -0.059590 -0.043950 -0.065190 0.193388 -0.090409 -0.025137 -0.136767 -0.019027 -0.120878 -0.051561 -0.253184 0.101346 -0.014682 -0.127006 -0.046088 0.079328 -0.012409 -0.104242 -0.053129 -0.120316 -0.060812 -0.131070 0.027054 -0.085333 0.088170 0.151181 -0.173042 -0.066756 -0.102897 0.223788 0.012053 0.071925 0.133148 -0.062884 0.003196 0.128449 0.143432 0.145740 0.081664 -0.084767 0.021993 -0.010258 0.200112 -0.059406 0.058533 -0.078280 -0.057095 0.079145 0.071289 0.017323 0.051068 0.105379 0.052670 0.095295 -0.012758 0.060190 -0.051897 0.005490 -0.005324 0.096840 0.143202 0.034519 -0.028935 -0.065124 0.061637 0.159621 -0.153287 0.013403 -0.190947 0.112040 -0.017420 0.010610 0.070743 -0.161269 -0.135480 0.092289 0.043966 0.272170 -0.026489 -0.047162 -0.018972 0.096649 0.076208 -0.051154 0.035120 0.101500 -0.119140
-Bestimmungen 0.050797 0.126422 -0.005654 0.088990 0.022537 -0.040706 -0.041783 0.133220 0.048902 -0.049187 -0.085767 -0.052867 0.022795 0.093615 -0.098156 -0.175664 -0.042153 -0.017578 0.140775 0.018287 0.031277 0.048461 -0.138282 0.051555 -0.177007 -0.185428 -0.042097 -0.180180 -0.053084 0.096509 0.115124 0.119397 -0.023926 -0.077287 0.002487 -0.141917 -0.057619 -0.113263 -0.121026 0.067743 -0.042118 0.048365 -0.133110 0.085830 -0.070802 -0.149045 -0.101975 -0.056418 0.107321 -0.007463 0.003807 -0.082034 -0.096666 0.085988 -0.064448 0.048004 0.046318 -0.137406 -0.123848 0.174580 -0.026758 0.141738 0.140469 -0.074255 0.053131 -0.071606 -0.003885 0.093677 0.031457 -0.010393 -0.210182 0.095644 -0.084058 0.144069 0.106450 0.085388 0.060323 -0.214398 -0.069864 -0.091508 -0.004334 0.001205 -0.085379 0.191984 -0.120120 -0.104962 0.082464 -0.009503 0.098817 0.133170 -0.116378 0.067552 0.221154 0.123065 -0.143308 0.054473 0.032510 0.040545 0.015863 -0.087087 0.068069 0.012581 0.019855 -0.116739 0.199468 -0.126523 0.088502 0.023878 0.038934 0.078582 0.111754 0.025624 0.150115 0.082876 -0.004232 0.097564 -0.117631 -0.144227 0.022318 -0.072945 -0.096095 -0.153309 0.023924 -0.114629 0.158269 0.144871 -0.024710 -0.017890 0.009964 0.092263 -0.018840 -0.051078 -0.091080 0.115659 -0.032595 0.096166 0.126014 0.082494 -0.061075 -0.086632 0.055614 0.193061 0.136724 0.117958 0.007744 0.030085 0.032709 -0.095477 0.167378 0.034009 -0.176302 0.163204 0.061010 0.029387 0.040837 0.005673 0.143530 -0.115215 -0.141993 -0.006538 0.112496 -0.024877 0.002631 -0.036675 -0.211038 -0.095179 0.031649 0.057374 -0.085904 0.083162 -0.105654 -0.018437 0.085426 0.094447 -0.119588 -0.024006 -0.068319 -0.201927 0.098365 0.047861 -0.054550 0.006644 0.064097 -0.123276 -0.063616 0.031095 0.040481 0.106331 -0.139753 -0.020925 -0.095431 -0.067238 0.094405 0.081544 -0.102999 0.088941 0.000492 -0.148306 -0.058536 -0.113932 0.035016 -0.007199 -0.001904 0.093822 -0.112139 -0.083479 -0.023045 0.021554 0.139229 -0.115809 -0.038173 -0.016713 -0.186877 -0.123236 0.133328 0.107177 0.054255 0.059798 0.033350 0.026244 0.031843 -0.062461 -0.294986 -0.098129 0.046065 -0.047602 0.210441 0.067334 -0.102404 -0.113583 0.017325 0.040313 -0.015871 -0.048954 0.084769 -0.010020 0.131627 -0.053390 0.035207 -0.002351 0.024821 -0.025671 0.172001 -0.084305 -0.092660 -0.025128 -0.040606 0.019635 -0.004823 -0.061479 -0.123284 0.205226 0.079003 -0.111008 -0.121771 -0.103010
-Bürgern 0.133173 -0.037991 -0.064099 0.079073 0.045923 -0.183798 0.137779 0.059591 -0.085310 -0.106892 -0.160571 -0.007163 -0.106456 0.250441 0.005200 -0.024822 -0.047272 0.131817 0.070801 -0.125076 -0.086945 0.093230 -0.084064 0.031371 -0.108719 0.023470 0.135732 0.032626 -0.041758 0.181779 0.026006 0.149855 -0.056117 -0.017765 -0.040250 0.087573 0.124350 -0.214130 -0.017620 0.249033 0.073290 -0.151525 0.061106 -0.006635 0.026500 -0.155274 0.019495 -0.062809 -0.150229 -0.018931 -0.129292 0.058142 -0.062704 0.140023 -0.015396 -0.022659 0.011917 0.129714 -0.095477 0.161463 0.037475 0.060473 -0.134972 -0.007480 -0.061823 -0.028165 0.139371 -0.216942 0.086656 -0.171800 -0.069781 0.118425 -0.040692 0.026989 -0.162416 0.108853 0.120768 -0.196848 0.130749 -0.240984 0.088559 0.005255 -0.069855 0.006041 -0.017714 -0.066661 0.007257 -0.086695 -0.087091 0.221982 -0.098030 -0.009150 0.063106 -0.088827 0.002230 0.089044 0.046356 -0.016103 0.126637 -0.179599 0.069006 0.083071 0.164327 -0.006121 -0.068739 -0.050495 -0.150505 -0.050689 -0.088056 0.032428 0.014439 -0.135678 -0.059345 -0.068137 -0.035690 0.020143 -0.136846 -0.027954 -0.009492 0.116582 0.113644 0.116180 0.065726 -0.079714 0.074792 -0.028581 -0.006779 -0.109601 -0.053129 0.057589 -0.114439 0.128116 0.071923 0.038372 0.028768 0.041679 -0.084517 0.197375 0.026024 -0.028865 0.063482 0.091812 -0.026808 0.167653 -0.148974 0.063099 -0.102648 0.038905 -0.026355 0.010325 -0.185119 0.089427 -0.067016 -0.029161 0.097167 0.057777 0.063724 0.021895 0.082296 0.112406 -0.036461 -0.015584 -0.115390 0.092072 -0.091576 -0.040882 0.046555 -0.152836 0.203643 0.097687 -0.063264 0.024166 0.153718 -0.048983 0.011145 -0.084939 -0.151840 -0.010362 0.089680 -0.006896 -0.080765 0.164820 -0.091754 -0.133935 0.041170 0.031726 0.144178 -0.058760 -0.109538 -0.019698 -0.146433 -0.002210 -0.057275 -0.025127 -0.105084 0.072244 0.011724 0.042043 -0.076622 -0.015333 -0.002430 0.079761 0.127102 -0.032421 0.037205 0.108187 0.162097 -0.025910 0.118431 0.036763 -0.102711 -0.081685 -0.080995 -0.041798 0.073871 0.047537 -0.047662 -0.000107 0.078659 0.060618 0.130750 0.008841 -0.133427 -0.088783 -0.026233 0.093024 0.078470 0.014496 0.110104 0.038424 0.153245 -0.007556 -0.114820 -0.053530 0.026871 -0.036888 -0.206003 -0.015387 0.031575 0.240748 -0.097975 0.045844 0.130327 -0.128252 0.122890 0.131322 -0.177700 0.018905 -0.139924 -0.109994 -0.113391 0.076320 -0.079842 -0.052769 0.025262 0.016532
-Den -0.009379 0.081234 -0.074031 -0.135150 -0.103112 -0.107053 -0.153369 0.060138 -0.070687 -0.074606 0.089674 -0.178943 -0.073635 -0.035643 -0.099701 0.027845 0.013855 0.028886 0.001983 0.148855 0.053818 0.034559 0.127720 -0.170362 -0.096998 -0.154240 0.017089 -0.091820 0.109013 -0.043540 0.004884 0.092740 -0.010716 0.031572 -0.003861 0.062075 0.073714 0.075781 -0.069435 -0.060136 -0.063318 -0.016721 0.140881 0.103651 -0.139675 0.009962 0.051325 0.040954 0.031570 0.066700 0.047195 -0.010125 -0.041473 0.086365 0.062797 0.121713 -0.042299 -0.060387 0.063239 0.010699 -0.120036 0.018993 0.009537 0.017622 -0.065833 0.076206 0.010338 -0.002274 0.174875 0.042676 0.107111 -0.149734 0.019065 0.036806 0.100457 -0.006473 -0.106844 0.069009 0.143226 -0.101423 -0.029953 -0.088714 0.076638 -0.050996 -0.142225 -0.059003 -0.085721 0.136560 -0.044096 0.016850 0.029597 0.007631 -0.040793 0.047438 -0.022427 -0.149625 -0.026720 -0.014609 -0.081559 -0.027752 0.002429 -0.026171 0.030501 0.071716 -0.042374 0.032552 -0.080230 -0.028715 -0.057977 0.056708 -0.006522 0.113629 -0.011660 0.088259 -0.140137 0.107461 -0.055768 0.029626 -0.015269 -0.099659 0.229633 0.005292 -0.060460 -0.009034 0.095858 -0.033293 -0.058359 -0.141581 0.061762 -0.042237 0.010403 0.184129 -0.066707 0.067311 -0.032082 0.060700 -0.110761 -0.060670 -0.090320 -0.010544 -0.058556 -0.044353 -0.039094 -0.017530 -0.180661 -0.000043 -0.019794 -0.065271 0.083197 0.038776 0.023551 -0.012818 -0.019945 0.015085 0.083948 -0.138788 0.018805 -0.106099 -0.020493 0.066152 0.119963 0.172457 -0.070931 0.047179 -0.031435 -0.011373 0.035885 -0.099595 0.247344 -0.068904 0.061819 -0.171957 0.051105 -0.119045 -0.006315 -0.034623 0.079980 -0.037410 -0.025506 -0.011450 0.103436 0.024184 0.036203 0.034672 0.035676 -0.011385 -0.054175 -0.014256 0.044879 -0.074104 0.054053 -0.003920 0.106073 -0.106167 -0.049416 -0.102467 0.014111 -0.066376 0.074057 -0.037481 -0.078727 0.040782 -0.009981 0.032419 -0.026755 0.069590 0.196231 0.050376 0.101400 -0.030620 0.020960 0.014559 -0.070805 0.027763 -0.042986 0.108782 0.086223 0.007731 -0.017102 -0.052205 -0.137569 -0.042527 0.017526 0.011737 0.043964 -0.077396 0.014459 0.102947 -0.037961 0.010428 0.107619 0.000127 -0.032272 -0.048684 0.030232 -0.031380 0.071065 0.040342 0.019334 -0.013387 -0.064546 -0.004451 -0.179408 0.013232 -0.090204 -0.105775 -0.063059 -0.039157 0.059096 0.063937 0.001876 0.020327 -0.022631 0.032994 -0.060412 -0.063940
-Dialog -0.003415 0.057237 0.061657 -0.056474 -0.190671 0.122909 -0.019954 0.103188 -0.072144 -0.174348 0.068392 0.029620 -0.015374 -0.031485 -0.043551 -0.030753 -0.096434 -0.095532 0.082237 -0.138824 -0.106196 -0.037612 -0.115300 -0.027718 0.077448 -0.140933 0.000005 -0.169085 0.196491 -0.144498 -0.038542 0.041196 0.033997 0.010899 -0.079702 0.036498 0.067525 0.047055 -0.028044 -0.121157 -0.047222 -0.100635 0.042319 -0.030797 -0.058859 -0.115827 0.073577 0.113977 0.103559 0.071426 -0.064948 0.013028 0.003102 -0.035490 0.035116 -0.102499 0.083574 0.048114 -0.109412 0.129131 0.036915 -0.146530 -0.069426 -0.187958 0.197525 0.047723 0.007895 0.188793 -0.056164 0.020245 -0.018337 -0.191226 0.076606 -0.050522 0.079025 -0.215623 -0.021686 -0.062182 0.060356 0.031801 -0.141775 -0.091673 -0.039015 0.012948 0.086163 0.062008 0.058056 -0.060693 0.126836 0.040983 0.060951 -0.067743 -0.091901 -0.067660 0.001277 -0.089922 0.133773 0.062528 0.053687 0.185984 -0.140604 -0.110146 -0.136724 0.064114 0.163797 -0.044593 -0.000828 0.217288 0.111930 -0.066171 0.051604 0.016194 -0.085763 0.061292 0.022470 -0.076223 -0.067528 0.119679 0.019589 -0.025823 -0.034306 -0.038807 0.061338 0.089340 0.048009 -0.011309 -0.108361 0.128212 0.017474 -0.102994 0.021273 0.081972 0.012579 -0.001573 0.059341 0.061740 0.019207 0.046223 0.115573 0.016751 -0.091219 0.098300 -0.063704 -0.126100 0.080584 -0.037707 -0.023750 0.036224 0.037575 0.092700 0.011672 0.054029 -0.038627 -0.088131 -0.076399 0.068848 0.097214 -0.041573 0.018446 -0.122043 0.023307 0.014773 -0.000422 0.005753 -0.020492 -0.094710 0.019914 0.064852 -0.243793 -0.063793 0.015026 -0.016730 -0.003529 0.047186 -0.073236 -0.113317 0.026336 -0.028665 -0.086618 -0.085655 0.084009 0.019845 0.141971 0.023800 -0.000733 -0.021582 -0.149331 0.051281 0.090701 0.097886 -0.019022 -0.006386 -0.074170 0.028545 0.093395 0.058986 -0.073040 -0.125313 0.038475 -0.110555 -0.083135 0.086958 -0.130356 0.071885 0.053118 0.002605 -0.003314 0.176169 -0.025832 -0.083531 0.206496 -0.106423 -0.025678 0.119947 0.105623 0.007607 -0.020255 -0.032265 0.104292 0.017425 -0.059235 -0.028780 -0.021456 -0.058416 0.044491 0.001214 0.076814 0.046778 0.011648 0.021928 -0.055388 -0.138596 0.060208 -0.050287 -0.041485 -0.192217 0.043361 0.016881 0.087189 -0.067242 0.037667 0.081909 0.064963 0.059694 0.009907 -0.050413 0.082135 -0.014954 0.011212 -0.133048 -0.108575 -0.207984 0.042399 0.072960 -0.034630 0.049572
-Erweiterung -0.058726 -0.242813 -0.091199 0.003151 0.070905 0.039707 0.066640 0.062695 0.058942 -0.107203 0.015513 -0.014034 -0.075988 -0.063901 -0.086567 -0.112794 -0.059499 -0.040315 0.092881 0.049647 0.110903 -0.159614 0.105488 -0.088127 0.055833 0.065157 -0.023706 0.043249 -0.214806 0.015390 0.040269 -0.013618 0.121234 -0.063564 -0.130144 0.114554 -0.023111 0.121217 -0.056108 -0.125153 0.005927 -0.100888 -0.013967 0.060947 -0.061590 -0.013737 -0.090193 -0.101183 -0.033081 0.059820 -0.118652 -0.031683 0.117964 -0.102484 -0.050061 -0.080485 0.067485 -0.079879 -0.071592 0.040865 -0.034399 -0.010693 -0.010397 0.110095 -0.240452 -0.037963 0.097045 -0.209018 0.006177 -0.003771 -0.039111 0.073851 0.031368 0.094170 0.119177 0.244954 0.059857 -0.058274 -0.009743 -0.179330 0.088347 0.098250 0.076443 0.230889 0.011545 -0.047069 -0.157991 -0.012472 0.022751 -0.005170 -0.008659 -0.054487 0.128604 0.037184 0.016277 0.153168 0.044845 0.080090 0.180909 -0.074699 0.100156 0.037114 0.101688 -0.142448 -0.060351 0.128638 0.054287 -0.032315 -0.185812 0.043195 -0.000598 0.091206 0.032683 -0.115234 -0.035913 0.027089 -0.008442 -0.047800 0.253233 0.049727 0.042402 0.015176 0.070345 0.003828 -0.094860 0.007207 -0.007724 -0.160084 0.025953 -0.097372 0.073307 0.097818 0.073565 -0.051793 0.014698 -0.008522 -0.161684 0.071653 -0.108060 -0.054330 0.096020 0.186598 0.057039 0.076442 -0.115065 0.073756 0.054846 0.021136 -0.094368 -0.176625 0.103442 -0.047654 -0.168621 -0.026790 0.056544 -0.068788 -0.076146 -0.200122 -0.151958 -0.157425 -0.070488 0.089072 0.060119 0.091960 0.029439 0.054784 0.093267 -0.026334 0.007679 0.126601 0.035372 -0.005246 0.086088 -0.019685 -0.073159 0.082985 0.022893 0.018269 -0.090883 0.171913 -0.023412 0.186410 0.011426 0.196591 0.043578 -0.126756 0.102364 0.095876 -0.099199 -0.137398 0.081902 -0.067732 0.030801 0.095050 -0.159246 0.000102 -0.008716 -0.237919 0.029014 0.028373 -0.166019 -0.095266 -0.051956 -0.042047 -0.156070 0.199480 -0.022206 -0.121042 -0.032457 0.041801 0.141761 -0.120265 -0.158332 0.017453 -0.186060 -0.068820 0.075220 0.058460 0.027034 0.159517 0.142868 0.104999 0.084546 0.042142 0.123612 0.061633 0.068822 -0.104431 0.139875 0.138892 -0.004524 0.099402 -0.028449 -0.060316 -0.004260 0.143783 -0.108737 0.185847 -0.009603 0.131055 0.072540 0.103921 -0.001017 0.090983 -0.033777 -0.144528 -0.129198 0.039149 -0.016975 -0.022602 0.021341 -0.007083 -0.145356 -0.200245 -0.057913 -0.158259
-Familie 0.082244 -0.004095 -0.064499 -0.128515 0.073207 -0.089590 -0.094535 -0.133111 -0.025305 0.025995 -0.072723 -0.027989 0.064430 0.007022 -0.030607 -0.067282 0.012514 0.237420 -0.096333 0.029522 0.145681 0.020921 0.093410 -0.041184 -0.030025 -0.046727 -0.177464 0.057829 -0.042391 -0.034870 0.093926 -0.062067 0.066646 0.058000 0.199328 -0.087888 -0.091707 0.015605 -0.006387 0.133036 0.046193 0.105131 0.118670 0.002277 -0.025412 0.121360 -0.006496 -0.058466 0.064068 -0.154122 -0.033992 0.065522 -0.155275 -0.244383 -0.006210 0.114227 0.168010 0.009062 -0.119353 -0.027337 -0.152996 0.138340 -0.003689 -0.073427 -0.120368 -0.152702 -0.057869 -0.139618 0.134429 -0.019557 -0.069676 -0.004493 -0.078512 0.050819 -0.058663 0.166917 0.049102 -0.011905 -0.005533 0.049394 -0.023161 -0.040248 0.078123 0.042565 -0.113797 -0.091279 -0.044894 -0.111924 -0.044821 0.015663 -0.068937 0.014278 0.193072 0.038973 0.107282 0.077543 -0.122611 0.141570 0.138424 0.026436 -0.019507 -0.025083 0.159955 -0.187164 0.065325 0.094854 0.168075 -0.178523 -0.229139 0.043096 -0.063414 -0.011227 0.016626 -0.120021 0.031600 0.159436 0.060277 -0.050732 0.030890 0.003658 0.168426 -0.103830 0.057836 0.153387 0.286046 0.097479 0.061441 -0.091190 -0.044932 -0.176854 -0.071734 -0.107174 -0.075474 0.052308 0.031644 0.092477 0.056746 0.013738 -0.053081 -0.014380 0.084456 0.089051 -0.025939 0.016832 -0.137253 0.009007 0.133648 -0.115112 0.078932 -0.192881 -0.058094 0.041168 0.034812 -0.017633 0.172122 -0.189906 0.091206 -0.182264 -0.017649 -0.035529 -0.079201 -0.060384 -0.121026 0.133673 -0.135419 -0.074046 0.180016 0.017020 0.149290 0.024599 -0.004492 -0.099507 0.074914 -0.035946 0.022033 -0.000427 -0.094598 0.063888 0.022554 0.072289 0.027461 -0.062554 0.108302 0.031572 -0.035250 0.113042 0.019007 0.061271 -0.088097 -0.003806 0.033872 0.053984 -0.017317 -0.106118 -0.144518 0.173683 0.105682 -0.120922 -0.077570 0.003815 0.018210 -0.120949 -0.000861 -0.206458 -0.092117 -0.076089 0.000842 0.038265 0.116477 0.122268 0.000385 -0.120130 -0.085438 -0.166422 -0.007712 0.149021 0.057467 -0.065234 0.137600 0.031254 -0.153759 0.012716 -0.028402 0.020251 0.023197 -0.189806 0.074387 0.033719 0.066904 0.014590 0.038850 -0.012477 0.060254 -0.010891 0.032266 0.039282 -0.039698 -0.056205 0.164576 0.043834 -0.018968 0.102966 -0.012429 -0.097009 -0.113216 -0.058971 -0.030018 0.050054 -0.014970 0.057985 -0.019904 -0.046470 0.086731 0.044296 -0.161755 -0.032681
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-dar -0.150373 -0.006835 -0.136246 0.053925 -0.104228 -0.017460 0.054085 -0.115722 -0.049059 -0.008059 -0.008263 0.016330 -0.018208 -0.129495 0.141962 0.016853 0.064611 0.013927 -0.072244 0.016683 0.093400 0.050980 0.135766 -0.055114 -0.045529 -0.000304 0.068954 0.152563 -0.030842 -0.052340 -0.210435 0.068389 -0.057419 0.099500 0.062601 -0.111296 0.037916 0.010244 -0.111325 -0.124950 -0.070249 0.068278 -0.079920 0.157165 0.105677 0.124152 -0.032845 0.057146 -0.015931 -0.157750 -0.028015 -0.054106 0.049702 0.010800 0.104034 -0.032234 -0.093033 -0.136164 0.007201 0.035510 -0.056659 -0.103099 0.010257 -0.029625 0.149124 -0.086808 0.017991 0.075229 -0.017720 0.018244 0.026702 -0.111319 -0.138999 -0.048078 -0.117229 -0.101806 -0.133186 0.187602 -0.004443 -0.177557 0.099216 0.097332 0.101950 0.028957 -0.006782 -0.057327 0.094679 0.159809 0.067629 -0.011106 0.220448 0.056363 -0.035590 0.060918 0.225191 0.038167 -0.173985 -0.098095 -0.172374 -0.031956 -0.010074 -0.033148 0.110847 -0.053091 0.074775 -0.024054 -0.041411 -0.048184 -0.068592 0.008734 -0.000737 -0.048660 -0.080486 0.063112 0.044028 0.034369 0.046143 -0.080489 -0.153233 0.085356 0.011048 0.030340 -0.050125 -0.126795 0.013477 -0.030330 -0.066230 0.004299 -0.083549 -0.057387 -0.035954 0.021389 -0.050875 0.103934 -0.079320 0.148861 0.055832 0.004412 0.223759 0.019067 0.040380 -0.083230 0.105825 -0.217401 -0.039668 0.067872 0.102825 0.116473 -0.001354 0.107613 -0.035659 -0.086036 -0.099348 0.012254 0.073485 -0.022985 0.047218 0.026900 -0.033328 -0.129256 0.002447 0.030617 0.233213 -0.060717 0.202033 0.049772 -0.020644 0.109208 0.019344 -0.031824 0.110633 -0.102952 -0.135476 0.115814 0.166026 -0.160209 0.030510 0.023037 0.027196 -0.013345 0.143716 0.150605 -0.062140 -0.064000 -0.056885 0.111612 -0.189926 -0.096391 -0.093146 -0.040075 0.032566 0.033744 0.097138 0.049529 -0.020899 -0.149133 0.053809 0.138193 -0.017328 -0.138348 0.002305 -0.103987 0.107433 -0.012866 0.067479 -0.079806 -0.003517 -0.018758 -0.123693 -0.040925 -0.066222 0.109599 0.213719 0.035266 -0.134128 -0.092958 0.186593 0.159629 0.021708 -0.065858 -0.219215 0.163369 0.013439 -0.032159 -0.065500 0.131068 0.113562 0.033108 0.029985 -0.147732 -0.035506 -0.078233 0.109492 0.118739 0.056207 0.112218 -0.001527 -0.174547 -0.060801 -0.125105 -0.140493 -0.069405 -0.158204 0.156764 0.027941 0.054505 0.109253 0.046239 -0.018652 0.004243 0.059590 0.116987 0.291992 0.006140 -0.051054 -0.017193
-entsprechende 0.028556 -0.087291 0.004603 -0.069295 0.098669 -0.126797 0.018909 0.085234 0.058143 -0.006362 -0.098894 -0.058555 0.114401 0.162231 0.022494 0.057333 0.206419 0.043869 0.086200 0.129955 -0.017424 0.115292 -0.116395 -0.083834 -0.185859 0.015868 0.022368 -0.035792 -0.188602 -0.038898 0.086809 0.226990 0.044091 -0.046590 -0.141881 -0.073847 -0.028010 0.039924 0.066537 0.147884 -0.153989 0.008766 0.050451 -0.035562 0.061336 0.023840 0.149313 -0.135182 -0.161969 0.084191 -0.082797 0.076052 0.053384 -0.016612 -0.028205 0.172184 -0.005074 -0.052936 -0.123363 0.034912 0.066002 0.026046 0.085910 -0.031484 0.058423 0.041889 0.135890 0.043847 0.131036 0.042161 -0.043679 -0.043962 -0.013558 0.011133 -0.029829 0.152264 -0.014395 -0.183698 0.011170 -0.146291 0.125598 0.003283 0.000599 0.189820 -0.126664 -0.177740 0.002350 0.043049 -0.043608 -0.027044 -0.029470 0.202541 0.080178 0.077753 0.105012 0.030612 0.106540 0.127611 -0.062891 0.016316 -0.003653 -0.024547 0.002380 -0.265592 0.028236 -0.001603 -0.024752 -0.129759 -0.029842 0.124763 0.041955 0.018201 0.111650 -0.078347 -0.014330 0.033662 0.017133 -0.079472 0.034118 -0.020057 -0.010657 0.044210 -0.120860 0.031259 0.011646 0.050973 0.129463 -0.169384 -0.094787 0.096548 0.105496 0.004300 -0.091769 0.058096 -0.038747 0.014601 0.082315 0.206211 -0.042810 -0.143870 0.158713 0.071602 0.192631 -0.138545 0.026161 0.050082 0.009593 0.038812 0.125263 -0.007258 -0.128502 0.086119 0.003585 -0.053439 0.080737 0.012438 0.086752 -0.051876 -0.193304 0.204521 -0.115784 0.129023 -0.053003 -0.022854 -0.078537 -0.009375 0.005941 -0.045993 0.161921 0.081248 -0.145416 -0.113746 0.085840 0.081470 0.174390 -0.170417 -0.042925 0.093984 0.056236 -0.073615 -0.071764 0.089014 0.010556 -0.195573 -0.083294 -0.027071 0.004670 0.129282 -0.120966 0.042660 0.029579 0.033929 -0.046792 0.010267 0.080245 0.054682 -0.146585 -0.009290 -0.007998 -0.012916 0.080126 0.119235 0.088697 -0.109152 -0.049412 0.115783 0.011923 0.048609 0.044184 -0.128293 -0.014869 0.063448 -0.081673 -0.034300 0.078768 -0.038127 -0.087894 0.077820 -0.077546 0.139141 -0.025464 0.085748 -0.056406 -0.130541 -0.065499 0.061862 0.075444 -0.048204 0.094600 -0.055271 -0.103720 0.159152 -0.049119 -0.005142 -0.131099 -0.023360 0.009684 -0.031683 0.062756 0.023173 0.057520 -0.139931 0.055440 -0.153478 0.049389 -0.166094 0.079092 0.189191 -0.182745 -0.066241 -0.093746 0.009081 -0.004775 0.153209 0.050802 0.031694
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-100 0.139740 -0.037952 -0.058842 0.028971 0.155580 -0.015934 0.048720 0.140020 -0.101608 -0.176114 0.008305 -0.184184 0.040796 0.058071 0.025180 -0.091452 0.173028 0.098979 -0.009478 -0.032994 0.082648 0.154090 0.012721 -0.160947 -0.161012 -0.131434 0.139821 -0.119405 0.014526 0.196772 0.072413 0.017974 -0.008036 -0.127450 -0.088326 0.040319 0.010603 0.058540 -0.101385 0.003822 0.089309 -0.072397 -0.136902 -0.044978 -0.027869 -0.024054 0.134798 -0.056376 -0.095568 0.036263 -0.021378 0.044455 -0.076024 0.167095 -0.110603 0.114893 0.132607 -0.180144 -0.183342 -0.076922 -0.122962 0.079234 0.059992 0.180882 -0.144199 -0.134332 -0.014054 -0.015917 0.084856 0.157759 0.034588 -0.016723 0.002997 0.132098 0.100971 0.074384 0.203794 -0.013288 -0.172963 -0.171481 0.038507 0.050208 -0.008252 0.132665 -0.082692 0.068470 0.013742 -0.090801 0.024951 0.063227 0.095300 0.069052 0.135014 -0.078289 -0.007853 0.077950 0.188604 0.115334 -0.053614 -0.125791 0.097173 -0.106263 0.019832 -0.106771 0.149010 0.158895 0.162376 0.023365 -0.056970 0.002942 0.153948 0.026432 0.003387 0.194307 -0.083626 0.085996 0.077484 -0.059866 -0.075191 -0.097834 -0.065592 0.109031 -0.079013 0.015575 0.105837 -0.103821 0.150431 -0.164017 0.038599 0.015901 0.067707 -0.027760 0.022705 0.173202 0.150936 0.032236 -0.101490 0.059650 0.075865 -0.104902 -0.002533 0.154181 0.047400 0.082035 -0.130563 0.000831 0.048358 -0.013764 -0.060429 -0.047610 -0.062684 0.067014 -0.220078 -0.026911 0.084027 0.016265 0.031151 0.001460 -0.138808 0.162637 -0.136372 0.196834 -0.054723 -0.038650 -0.087138 0.105943 0.135285 -0.005576 -0.094033 0.037654 -0.075395 0.043988 0.150829 -0.003189 0.068049 -0.165058 -0.016360 0.025834 0.009348 0.099814 -0.065191 0.155869 0.091627 -0.038210 -0.026362 0.034415 -0.136990 0.137827 -0.000592 -0.061109 0.054170 -0.062230 -0.133096 0.046343 0.025510 -0.170654 -0.276996 -0.032577 0.137012 -0.196127 0.084806 -0.003795 0.031356 -0.048224 0.086723 0.158257 -0.006519 -0.050417 0.073622 -0.052532 -0.013514 -0.098229 -0.041597 -0.161350 -0.104863 0.017986 0.046282 0.079180 -0.003897 0.142380 0.072422 0.061896 0.108911 -0.096869 0.132333 -0.066872 0.118972 -0.017967 0.224137 -0.055111 0.049098 -0.122401 0.033755 -0.077938 0.078257 -0.138825 0.057916 -0.100181 0.072328 0.139656 0.034773 -0.147566 0.066306 -0.121692 -0.020065 -0.112352 -0.106077 -0.030711 -0.193635 -0.044189 -0.042877 -0.087238 0.013047 -0.165274 -0.087361 -0.078346
-Auswirkungen 0.009977 0.119004 0.077589 -0.091591 0.000556 -0.021199 -0.095427 0.019676 -0.033627 -0.026017 -0.073520 0.102321 0.154157 -0.066026 0.026073 0.131163 -0.059485 0.107768 0.129287 0.005093 0.074195 0.099371 0.040471 -0.023780 0.039122 0.015110 0.010496 0.058937 -0.024782 -0.045889 0.069625 0.013451 -0.083988 0.029354 0.117586 0.065343 0.153451 0.103558 0.120070 0.025700 -0.159065 0.009492 0.122205 -0.056918 0.103504 -0.059879 0.063139 0.018729 0.145692 0.043406 0.063771 -0.024396 0.150746 -0.051893 -0.019449 0.059528 -0.042972 -0.069205 0.000174 0.012396 -0.019239 0.132888 0.024867 -0.106222 -0.208243 -0.057086 -0.006286 0.055624 0.129848 -0.040679 0.121156 0.100392 0.041798 0.102140 -0.195166 -0.128611 -0.075568 0.071175 -0.138410 0.090588 0.041220 0.144455 0.191848 -0.113361 -0.116664 0.142508 0.112929 -0.028155 -0.071859 -0.012627 0.039629 0.199524 -0.018766 0.130157 0.037521 -0.038585 -0.082052 0.053600 -0.007714 -0.045011 0.145845 -0.015967 0.023890 0.091203 -0.113803 -0.035752 0.005005 -0.048807 -0.031743 -0.084013 -0.049698 0.039837 0.100669 -0.012809 -0.240087 -0.077007 0.075110 -0.038638 -0.040156 0.034338 -0.008828 -0.118351 0.076231 0.016709 -0.040472 0.051763 -0.147973 -0.116965 -0.183703 -0.072926 -0.160885 0.181462 0.112570 -0.056402 0.098058 -0.007213 -0.107755 -0.020002 0.004062 -0.138147 -0.084323 0.005356 0.057108 0.048751 -0.161605 0.019822 0.080052 -0.014195 0.037816 -0.062195 0.003566 -0.065353 0.108620 0.105665 0.035978 -0.200247 0.027615 -0.019087 0.056835 0.100433 0.072537 0.052279 0.017799 0.101395 -0.098262 0.142516 -0.072838 -0.037828 0.095982 0.058137 0.017912 -0.007408 0.094366 -0.070682 -0.079821 -0.154346 -0.054255 0.102104 0.044358 -0.054606 0.047662 -0.046252 -0.109836 0.046936 -0.106566 -0.054436 -0.047487 0.065350 0.091739 0.077285 -0.089525 -0.039468 -0.000808 -0.084002 0.137946 -0.027763 -0.097382 0.065113 0.072202 0.047426 0.092174 -0.010432 0.170982 0.077549 0.027140 0.006046 -0.079339 -0.074187 0.047414 -0.057407 -0.056421 0.051422 -0.048307 -0.008072 0.093256 0.088468 -0.026315 0.056747 0.165201 -0.081329 0.005505 0.129523 -0.070689 0.069879 -0.022065 0.047825 0.043397 0.058185 0.077697 -0.063565 0.027932 -0.090991 0.066408 0.110358 -0.123118 0.144325 -0.033255 0.067317 0.049091 -0.004841 -0.026617 -0.094361 0.119527 -0.017543 -0.074690 -0.105063 0.165920 -0.041943 -0.037861 0.073915 0.109439 0.072813 -0.148515 -0.007829 0.000931 0.082736
-Behandlung 0.000169 0.054030 0.124079 -0.051092 0.106222 -0.085698 0.134025 0.097459 0.068362 -0.079077 -0.028973 -0.012635 -0.029055 -0.025381 0.208758 -0.080528 0.091171 -0.051331 0.086353 -0.035512 -0.159697 -0.025318 -0.010268 -0.064608 -0.012477 0.081280 0.017632 0.004036 -0.153279 0.149113 -0.089441 0.235310 -0.200815 0.061875 0.048511 0.010843 -0.044351 -0.082903 -0.059273 -0.021465 -0.081863 0.074959 0.032937 -0.020499 -0.077505 -0.123828 0.089202 0.044695 -0.023236 0.011883 0.061129 -0.046468 -0.087074 0.231640 0.123736 -0.144846 0.081284 0.040437 -0.036149 0.150385 0.088102 -0.020928 0.147312 -0.157084 0.035679 -0.069220 0.014009 -0.012061 -0.005407 0.006834 0.131919 -0.087226 -0.029792 -0.042250 0.002099 0.055889 -0.003173 -0.100087 0.001379 -0.089987 -0.030452 0.126590 -0.080166 0.027178 -0.013146 0.123970 -0.063358 0.035534 0.058464 0.089621 -0.011424 0.012422 -0.074160 -0.032611 0.010440 0.031772 -0.035038 -0.083828 0.012959 -0.098551 0.103099 -0.000459 0.015903 0.067926 -0.041225 0.020327 0.026796 -0.179740 0.047733 -0.015525 -0.078434 0.015350 0.164937 0.027081 -0.135664 -0.018709 -0.073513 -0.067041 0.058222 0.129376 -0.015938 0.155041 -0.105799 -0.027329 -0.037886 -0.072171 0.026152 0.051068 0.185618 0.139677 0.105558 -0.005234 0.028525 0.182500 0.050485 -0.138479 -0.008349 0.128164 -0.014660 -0.034553 0.231213 -0.115177 0.180318 0.098913 0.183189 0.171113 0.063031 0.130669 -0.050449 0.026555 -0.026436 0.006371 -0.021734 -0.005981 -0.018124 -0.086668 0.057890 0.066841 0.049665 0.018345 0.018721 0.158102 -0.034849 -0.100073 0.158166 0.183181 0.090049 -0.165316 0.071560 0.124118 -0.073893 0.118056 -0.053645 0.111487 -0.077794 -0.147619 0.150307 0.076262 0.032754 0.003589 0.013187 0.093586 0.193462 -0.115788 0.015593 -0.018857 0.058614 -0.062774 -0.160195 -0.102063 -0.031688 -0.104663 -0.010666 -0.119055 -0.095633 -0.059276 -0.127156 -0.024302 -0.137482 0.026562 -0.119290 -0.121638 0.017660 -0.021567 0.096899 -0.021409 -0.012970 -0.061611 -0.188662 0.011566 -0.047028 0.075790 0.009012 -0.043000 0.098615 0.016465 -0.087506 0.080102 0.051213 -0.128113 -0.064813 -0.006383 0.148473 -0.109487 -0.079867 -0.088470 0.152848 0.009367 0.026669 0.161208 -0.143081 0.035691 -0.102566 -0.080856 -0.023143 -0.103524 0.105376 -0.062374 0.027723 0.062150 -0.080327 -0.104875 -0.004263 -0.112199 0.021619 0.119318 -0.087779 0.201822 0.038855 -0.070872 -0.039694 0.118604 -0.024129 0.038484 -0.031255 -0.129895
-Bevölkerung -0.118918 -0.108196 -0.052119 0.039897 -0.038319 -0.046862 0.144408 -0.092571 0.086784 -0.127181 -0.114773 -0.054134 -0.144058 -0.038975 -0.081044 -0.017034 -0.025347 -0.092441 -0.038906 0.071971 0.073582 0.109366 0.090727 0.006445 -0.041926 0.039262 0.043203 0.036639 0.086078 -0.024152 -0.030693 0.018511 -0.002223 0.123933 0.069502 -0.016212 0.106093 -0.042633 -0.033645 -0.123937 0.125023 -0.008938 -0.021530 0.074498 0.054489 0.092713 -0.108270 -0.074644 0.035635 -0.020908 0.099993 0.018936 0.030280 -0.118164 0.209021 0.109210 -0.010279 -0.013668 0.139689 -0.034593 0.053488 0.125719 -0.027001 -0.017394 -0.161832 -0.016490 -0.045905 0.018932 -0.015643 -0.019415 -0.032099 -0.136090 0.171135 0.034761 -0.051676 -0.138198 -0.208259 0.024794 -0.042350 0.099330 -0.023270 -0.062295 0.007977 0.065401 0.003972 -0.100577 0.107515 0.189340 0.009717 0.125200 0.103253 0.040450 -0.113370 -0.013878 0.021960 -0.006506 -0.117364 -0.150969 -0.098625 0.045899 0.041228 0.006964 -0.013323 -0.010915 -0.110450 0.116852 -0.045572 0.011966 -0.136793 0.120061 -0.147108 0.106021 -0.080989 0.028807 -0.089865 -0.152333 0.010017 0.107051 0.119720 -0.063181 0.190956 -0.097372 -0.031147 0.084971 0.002212 -0.069535 -0.031529 0.018265 -0.132524 -0.050526 -0.086359 0.068802 -0.040693 -0.019769 -0.172758 0.066901 0.087247 -0.197294 0.028237 0.010379 0.020975 0.013726 0.041434 -0.133533 -0.159339 -0.099593 0.111945 0.025820 -0.031797 0.124226 -0.045487 -0.075580 -0.132859 0.148539 -0.095381 -0.092320 -0.027874 -0.050281 0.062257 -0.155210 -0.085072 0.130821 0.183288 0.003642 0.061321 0.010939 0.084889 -0.021408 0.037953 -0.197096 0.199171 -0.092228 0.014630 -0.022164 0.079157 -0.086450 -0.025811 -0.100922 0.134535 -0.026235 0.075620 0.021073 0.023249 -0.050251 -0.060003 0.007560 0.123441 -0.033959 -0.026387 -0.057423 -0.025214 -0.036597 0.186576 0.004446 0.057971 0.023601 0.078154 -0.059903 -0.065969 0.102920 -0.002720 0.047019 0.033424 0.014954 0.016896 0.096387 0.069805 -0.002507 0.048395 -0.123432 0.042083 -0.038045 0.065587 0.072467 0.059713 -0.125689 0.059247 0.017581 0.019474 -0.054805 -0.031675 -0.068213 0.026536 -0.046058 -0.041245 0.009770 0.055410 -0.067195 0.110327 -0.045916 0.062528 -0.017244 0.035435 0.033103 0.085999 0.021949 -0.099032 0.023643 0.013177 -0.017730 0.106725 0.010030 -0.090303 -0.028327 -0.087797 -0.084260 0.166930 0.005389 0.121116 0.060392 0.051780 0.066209 0.052023 0.061015 -0.172181 0.174809
-Du 0.042298 -0.067750 0.142664 -0.043210 0.213663 -0.038307 0.062599 0.067320 -0.021565 -0.129604 0.047315 -0.025742 -0.059511 -0.104524 -0.064705 0.015605 0.029345 0.026530 0.053426 0.082203 0.065504 0.008921 0.158276 0.011583 -0.005661 -0.034011 -0.008302 -0.051444 -0.030005 -0.006182 -0.063672 0.019935 -0.104581 -0.132499 -0.137643 -0.109927 -0.037470 0.099803 0.199749 -0.155341 -0.018669 -0.038719 0.016064 0.071042 0.005089 0.011451 -0.035316 -0.103069 -0.021317 0.074521 -0.152780 -0.028220 -0.029791 0.106909 0.035969 0.019861 0.132509 -0.033778 -0.113851 0.151246 -0.067647 -0.036672 -0.166064 0.025875 -0.015647 -0.091651 -0.029508 -0.133203 -0.081640 -0.087608 0.103720 0.044462 0.003007 0.069452 0.011721 -0.056603 -0.026636 -0.016885 0.000947 -0.139256 -0.056610 -0.154016 0.061007 0.078008 0.044734 0.091654 -0.186857 -0.041962 -0.109809 0.066059 0.024078 0.085778 0.122726 -0.045472 -0.088982 0.069042 0.144614 0.055232 0.185187 0.017907 0.018676 0.108757 0.192348 -0.080348 -0.020498 0.187239 0.074886 0.059072 -0.100009 0.010526 -0.062374 0.146715 -0.010352 -0.018810 0.085807 0.064599 -0.092507 0.008373 0.126072 -0.005045 0.070750 0.200083 -0.045172 0.046953 0.077714 0.086106 0.038145 0.077210 0.111987 0.024992 0.073963 -0.025593 -0.035170 -0.015267 0.083414 0.059311 -0.092071 0.021246 -0.055770 -0.058552 0.238913 0.023134 0.015566 0.181068 -0.043230 -0.026446 -0.140010 -0.069368 -0.040217 -0.037564 0.136959 0.031313 0.048068 -0.026387 0.118858 -0.085295 0.056321 -0.056946 -0.006169 0.061297 -0.151953 -0.031805 -0.007080 0.121171 0.015130 0.102299 0.170503 -0.085808 0.109943 0.099541 0.016489 0.116143 0.022107 0.073255 -0.080759 -0.006275 0.035927 -0.028782 -0.077591 0.052579 -0.000452 0.052280 0.138118 0.090503 0.025797 -0.099183 0.165702 0.000412 0.022168 -0.004628 0.084074 -0.068566 -0.175241 0.062160 0.083693 -0.041592 -0.153228 -0.065975 0.096859 0.019729 -0.039208 0.052752 -0.097280 -0.005681 0.107714 0.129658 0.171523 0.082588 -0.088389 -0.000370 -0.018362 0.001845 -0.164926 -0.106464 -0.053460 0.114974 -0.197129 0.134351 -0.158370 0.106387 0.057556 -0.039003 0.021635 0.052432 0.146950 -0.072101 -0.048058 0.078740 0.153177 0.058855 0.002069 0.052070 -0.054349 -0.011376 -0.059794 0.012157 -0.035707 0.095242 0.104768 0.223395 0.004431 -0.007711 0.040656 0.101665 -0.066029 -0.091474 -0.114588 0.035318 -0.022648 -0.193999 -0.145396 -0.181652 -0.161222 -0.063243 -0.075157 0.073038
-Falle 0.213413 0.134639 0.065796 0.020867 0.123796 -0.114728 -0.123044 0.021511 -0.130633 -0.044530 -0.072483 -0.035295 0.019382 0.052147 -0.076442 -0.096701 0.162609 0.001759 0.060883 0.125895 -0.021242 -0.025056 -0.121446 -0.147456 0.077569 -0.050917 0.039226 -0.102010 -0.163764 0.056689 0.193648 0.145517 0.057223 -0.070524 -0.170296 -0.121897 -0.097311 0.069003 0.018844 0.000191 0.071250 -0.158708 0.099752 0.033579 -0.053511 -0.011067 0.173195 -0.046908 -0.118541 0.063090 -0.106430 0.039981 -0.248061 0.075054 -0.107552 -0.029857 0.041688 -0.040842 -0.211475 0.157467 0.008636 0.030501 -0.134049 0.021472 -0.202383 -0.131668 0.096931 0.154788 0.120453 0.004116 -0.027443 0.016723 0.187600 0.139387 -0.041918 -0.016616 0.055116 -0.072268 0.017514 -0.057136 0.018400 -0.147989 0.086289 -0.000843 -0.152813 0.026553 -0.115978 -0.180160 -0.122121 -0.068953 -0.090909 0.053912 -0.015284 -0.113130 0.065120 0.179268 0.060505 -0.028239 0.033384 -0.042905 0.108854 0.131901 0.001155 0.023421 0.007675 0.049263 -0.069091 -0.295058 0.014263 0.003976 0.069166 -0.228477 0.026283 0.015533 -0.012517 -0.003791 -0.040397 -0.120847 0.122519 0.051809 -0.110377 0.114514 -0.144058 0.014216 0.026843 0.095890 0.130391 -0.282951 -0.014820 0.047188 0.021922 -0.001179 0.102685 0.117086 0.157985 -0.029807 -0.044886 0.201621 -0.017096 -0.074463 -0.027282 0.098174 0.026907 0.034716 -0.144926 -0.142945 0.009161 0.019421 0.043193 -0.122895 0.115728 0.064118 0.020097 0.027875 0.072852 0.042902 -0.007481 -0.056922 -0.128723 0.176956 0.014881 0.130721 -0.085042 0.097582 -0.036596 0.130045 0.008777 -0.136711 -0.037956 0.043454 -0.060547 -0.087769 0.233953 0.074405 0.093259 -0.221979 -0.143288 0.013912 -0.008205 0.093582 -0.069480 0.243558 -0.070432 0.136721 -0.057307 -0.091155 -0.061441 0.066537 -0.123566 0.129063 -0.061290 0.044187 -0.017624 -0.020871 0.023432 0.052856 0.019424 0.023896 0.155491 0.066835 0.039393 -0.014292 -0.064175 -0.063267 0.006958 0.208908 0.139157 0.073928 0.182204 0.068599 -0.099823 0.022252 -0.052021 -0.151377 -0.025551 0.082511 0.070751 0.027059 -0.243174 0.207904 0.161812 0.256831 0.079106 -0.050054 0.095180 -0.076923 0.032946 -0.085061 0.041463 0.074280 -0.014469 0.222470 -0.007990 -0.037180 -0.033613 -0.121113 0.032280 0.042569 0.118979 -0.060969 0.227741 -0.042218 0.093651 -0.126907 0.096472 0.043742 -0.160595 -0.083740 -0.099765 -0.061423 -0.081674 -0.086431 -0.132443 0.035159 0.012560 -0.172907
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-April 0.152773 0.078352 0.033639 0.211036 0.113765 -0.197917 -0.078733 -0.025546 -0.125819 0.052328 0.030740 -0.016796 -0.005467 0.309408 -0.260586 -0.079009 0.129440 0.151872 -0.138326 -0.024669 -0.027107 0.078869 0.092905 0.032648 0.020044 -0.070318 -0.029520 -0.178698 -0.127288 0.102147 0.120261 0.104781 0.110922 -0.153564 -0.214825 0.034623 -0.052182 -0.023060 0.037631 0.132313 0.217580 -0.000144 -0.089874 0.052916 0.069837 0.028151 -0.170739 -0.111683 -0.283888 0.074576 -0.077797 0.051311 -0.008756 0.047641 0.050613 0.152458 -0.003030 0.003537 0.060019 -0.096492 0.076693 0.034522 -0.051360 0.228305 -0.060958 0.045774 0.005891 -0.106266 0.046171 -0.075037 -0.145179 0.024824 0.187903 0.101437 0.117601 0.052278 -0.011357 0.048958 -0.105540 -0.171977 0.171341 -0.084423 -0.218058 -0.042538 -0.022287 -0.097991 -0.027221 -0.075530 -0.002067 0.144230 -0.039642 -0.021821 0.103522 -0.185562 -0.072649 0.217543 0.068063 -0.111944 0.032365 0.012847 -0.006546 0.058057 0.050343 -0.191000 0.043263 -0.019772 0.064294 -0.130371 0.041064 0.083127 -0.062047 -0.002859 -0.190992 0.059274 -0.048807 -0.070692 0.050045 -0.158245 0.109111 0.099134 0.150280 -0.095871 0.046104 -0.100317 -0.023824 -0.016804 0.247661 0.065704 -0.023770 0.080925 0.193605 0.183558 -0.000615 -0.033002 0.126856 0.159991 0.002134 -0.092809 -0.023913 0.062108 0.139008 0.223241 -0.050812 -0.112562 -0.008802 0.079782 0.026988 0.054363 -0.125272 0.118104 -0.090320 0.008133 -0.156156 -0.165024 0.105130 0.023124 0.058612 -0.076831 -0.250170 0.120969 -0.077910 -0.034700 0.140095 0.015022 -0.075072 -0.189049 0.036512 0.140885 -0.079805 -0.014562 -0.206696 0.173797 0.082523 0.033786 -0.177755 -0.069094 -0.065251 -0.041613 0.046526 0.069693 -0.213607 0.021448 -0.257149 0.131227 -0.073025 -0.100667 -0.126353 0.144052 -0.101802 0.119873 0.052212 0.063351 -0.088918 0.023718 -0.053105 0.037246 -0.004694 -0.083439 -0.079545 -0.030978 0.001252 -0.017664 -0.007719 -0.083592 -0.052674 0.036828 0.006102 0.105146 0.062626 -0.018486 0.030341 -0.130733 0.024784 0.067576 0.069618 0.087770 -0.020016 -0.039364 -0.205522 0.112523 0.083124 -0.066910 -0.098836 -0.075872 -0.024423 0.030686 0.015781 -0.010180 -0.003868 0.100978 0.027874 0.023545 0.138224 -0.014004 0.041405 -0.082364 -0.091943 -0.166184 -0.060055 0.010919 -0.012552 0.031815 0.160749 0.019531 -0.106314 -0.037230 0.104614 -0.001977 0.112185 0.016389 -0.185030 -0.115557 -0.000264 -0.251996 -0.121100 -0.099848
-Arbeitsplätze -0.066133 0.077725 0.015180 0.159727 -0.002167 0.027258 -0.089427 0.048567 0.090468 -0.271073 0.121667 -0.077664 -0.006210 -0.220529 0.043201 0.011983 0.176565 -0.130602 -0.030344 0.059679 0.027467 -0.060711 0.042332 -0.052068 0.162075 0.027162 0.124274 0.074664 -0.176426 0.030827 -0.109776 -0.158283 -0.044654 0.094015 -0.219003 0.185163 -0.016557 0.113799 -0.051813 -0.046597 0.145944 -0.176043 -0.103310 -0.075340 -0.016904 -0.042447 0.055607 -0.064865 -0.139348 -0.054317 -0.010766 0.001355 -0.028959 0.126520 -0.118546 -0.171686 0.088678 0.084622 0.068670 0.055167 0.031849 -0.090229 -0.200991 -0.146472 0.048619 -0.063537 -0.077889 0.023773 0.076369 -0.016575 0.217929 -0.076602 -0.042324 -0.093281 0.110072 -0.137332 0.026710 0.142687 0.186753 -0.012655 0.035363 -0.028622 -0.186926 -0.085750 0.155509 0.044354 -0.030044 -0.019130 0.198452 -0.223798 0.181390 -0.152411 0.023539 -0.176947 -0.026671 0.064621 0.081859 -0.237895 -0.043414 0.198660 -0.278509 -0.044164 -0.197588 0.221277 0.095905 0.017924 -0.150806 0.137711 0.088965 -0.020346 0.211511 0.015843 0.024239 -0.000930 0.017889 -0.002775 -0.348911 0.060179 -0.157822 0.082176 -0.071991 0.030857 -0.082975 -0.090421 -0.071320 -0.073332 -0.124403 0.018288 0.056394 -0.084080 -0.131610 0.008465 0.296520 -0.089861 0.124854 -0.108790 -0.029893 0.009977 0.241624 -0.065786 -0.134301 -0.014181 -0.059936 -0.205765 0.065145 -0.054639 0.064093 -0.053493 -0.157203 -0.083270 0.186588 0.003441 -0.180910 -0.007790 -0.091266 -0.031886 -0.140254 0.048389 0.072136 0.058561 -0.100889 -0.012436 0.091150 -0.136788 0.211550 0.005798 -0.106167 0.049846 -0.129089 -0.005691 -0.056863 0.059313 0.060411 0.124521 0.023342 0.046734 -0.044550 0.191410 0.026249 0.084914 -0.078080 0.185762 -0.144833 0.033373 -0.134167 -0.032057 -0.079706 -0.011305 -0.023589 0.102039 -0.013127 -0.050735 -0.119551 -0.081244 0.005358 -0.015668 0.058425 -0.037141 -0.061773 -0.152247 0.008487 -0.055728 -0.067448 -0.062417 0.123268 0.035572 -0.134994 0.168495 -0.074863 -0.089438 0.042216 0.058722 -0.133601 0.074621 -0.004137 -0.069949 0.014504 0.152879 -0.151704 -0.115628 -0.037655 -0.035912 0.294733 0.217714 0.056854 -0.001734 0.017111 -0.196302 0.046098 -0.025479 0.053026 -0.038948 0.029674 -0.073424 0.048058 -0.156213 0.014972 -0.008344 -0.131379 -0.101306 -0.019169 -0.163398 -0.054159 0.050648 0.071971 0.223144 -0.193364 -0.194602 0.055390 -0.082102 0.104012 -0.120039 -0.166264 -0.112785 0.044196 -0.097564
-Bildung 0.054426 0.088167 -0.095260 -0.042026 -0.068789 0.164219 0.139051 -0.131634 0.002528 -0.250503 0.123738 0.066308 0.016318 -0.177955 -0.181394 0.267654 0.191946 -0.104666 0.114210 0.111337 -0.053335 0.181945 0.022471 0.090503 -0.004186 0.017515 0.167483 -0.088258 -0.018852 0.015240 -0.019415 -0.084889 -0.312382 0.062530 -0.042231 0.069502 -0.002900 -0.088632 0.006278 -0.071833 -0.082906 -0.022510 0.147642 -0.001915 0.105695 0.053103 0.109429 0.000173 0.122254 -0.047002 0.082697 0.147901 0.066234 0.129729 -0.028632 -0.085295 0.031867 -0.005623 -0.012745 0.089551 0.163651 -0.029619 -0.018581 -0.011984 0.183521 0.153287 -0.268262 0.256588 -0.062371 -0.100116 0.045414 -0.095794 -0.250440 -0.054995 -0.015247 -0.197175 -0.044822 0.097517 0.230967 0.044629 0.085993 0.017210 -0.154012 -0.078420 0.093699 -0.065497 0.044590 0.080055 0.033961 0.047537 0.102690 0.029497 -0.065202 -0.121662 0.173118 -0.180891 0.051603 0.068222 -0.058350 -0.066450 -0.284324 -0.160353 -0.104210 0.102619 -0.065259 -0.152609 -0.158531 0.158355 0.198528 0.031627 -0.052515 0.087050 0.158126 -0.043983 -0.043924 -0.079352 -0.158868 0.226005 -0.043662 0.246864 -0.002283 0.172465 0.117326 0.017439 -0.166981 -0.056949 0.107675 -0.010742 -0.024742 -0.109007 -0.254302 -0.010870 0.053972 0.013965 -0.134361 0.047934 -0.009806 0.027791 -0.031133 -0.068074 0.047403 -0.180462 0.009551 -0.074535 -0.047144 -0.157705 -0.157537 -0.031220 0.054467 0.141951 0.158333 0.091365 0.194436 -0.076126 -0.161785 -0.057965 -0.008717 0.129929 0.214424 0.079767 0.070200 0.023714 0.015232 -0.131472 0.033743 -0.151164 -0.138584 -0.038457 0.096358 -0.048219 0.037791 -0.108991 0.201685 -0.144572 0.081973 -0.041542 -0.268453 0.029433 -0.121453 -0.108818 -0.040093 -0.019300 0.018451 -0.077278 0.036743 -0.094511 -0.042602 -0.089279 0.190957 -0.131839 -0.074422 -0.075986 -0.199367 0.149275 0.226902 -0.000656 0.015191 0.088817 0.137969 0.055607 0.119706 0.155617 0.124798 0.191932 0.204838 0.089600 -0.005567 0.093469 0.084943 -0.153822 0.036724 0.102029 0.071046 0.107246 0.072368 0.007408 -0.173164 0.072266 -0.181106 -0.128485 -0.104546 -0.257783 0.013816 0.097300 -0.023048 0.182193 -0.055833 0.154790 0.053318 0.133052 -0.231947 -0.061001 -0.059542 -0.018782 0.020831 -0.091995 0.084764 -0.258985 0.067325 -0.142379 0.012075 -0.131621 -0.089992 -0.152480 0.132968 0.226680 0.115771 0.105786 0.096593 0.005163 0.134159 0.009719 -0.265736 0.114905 0.051349 0.093025
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-Einführung -0.095834 -0.003720 -0.081151 0.086352 0.028933 -0.007705 0.034865 0.048501 0.019188 -0.050290 0.010441 -0.042430 0.088878 0.129655 0.110059 -0.047317 -0.157142 -0.083030 0.009816 -0.067384 0.004769 -0.046249 -0.114404 0.155352 -0.086639 -0.091716 -0.091333 -0.069409 -0.111773 0.074704 -0.066815 -0.095706 -0.052203 -0.100974 -0.042309 0.107761 -0.153364 -0.144212 -0.026480 0.062242 0.027322 -0.040930 -0.103266 -0.105804 -0.067551 0.043995 0.064583 -0.156998 -0.149065 -0.004862 0.075003 -0.186256 -0.156540 -0.050009 0.012304 -0.110088 0.048094 0.025381 0.060692 -0.010768 0.110935 -0.160194 -0.018246 -0.027296 0.054100 0.114792 0.066206 0.072665 -0.128787 0.055426 0.048009 0.071679 -0.110738 -0.021347 0.016419 0.095574 0.020800 0.063976 -0.003386 -0.022012 -0.000762 -0.040623 -0.001303 0.066892 -0.056249 0.087109 0.082546 0.000988 0.053925 0.046296 0.044313 -0.090817 0.022743 -0.040344 0.026496 0.025366 0.119048 -0.123474 -0.062855 0.060419 0.048174 -0.053871 -0.080905 -0.004091 0.206818 0.070899 0.042500 -0.019294 -0.034670 0.020573 -0.040321 -0.110248 -0.035262 0.035859 -0.027904 -0.057287 -0.096566 -0.137396 0.034570 0.098177 -0.088149 0.116837 -0.153605 -0.228579 -0.064925 -0.013793 0.048341 0.123701 -0.066765 0.046310 -0.007754 -0.037077 -0.105063 0.079835 0.136968 -0.140329 0.152597 0.000150 0.054881 0.003784 0.052372 0.030784 -0.079188 0.095902 0.176935 0.042838 0.028451 0.085456 -0.141188 0.015087 -0.025042 -0.095111 -0.081173 -0.068422 -0.081426 0.138486 0.020336 0.089590 -0.063414 -0.112743 0.012001 0.028578 0.118838 -0.003297 0.030870 -0.005684 -0.150994 -0.017128 -0.241049 0.036840 -0.080523 0.156094 -0.124353 0.033593 -0.016803 -0.052217 0.043613 -0.054921 0.017505 -0.053103 -0.187627 -0.067877 0.080178 -0.013412 0.170614 0.022114 -0.023456 -0.063144 0.083962 0.099247 -0.093214 -0.029041 0.127134 0.203806 -0.094806 -0.017800 -0.054985 0.001840 -0.054389 0.008350 -0.051804 -0.007237 -0.019100 0.006062 0.103256 0.209887 0.047353 0.035650 -0.079341 -0.049567 0.047020 -0.136353 0.014178 0.048545 0.030954 -0.062076 0.047835 0.002697 0.068177 0.015669 -0.048725 0.059420 -0.035875 0.083559 0.109655 0.063058 0.035386 -0.117803 -0.148426 0.101799 -0.182354 0.040853 0.001649 -0.047459 -0.117527 0.007745 -0.051428 0.148321 0.003386 -0.048201 -0.099020 -0.059334 -0.052378 -0.038337 0.057195 0.100185 -0.075989 -0.086491 -0.063736 -0.104766 0.101980 -0.089521 -0.068317 0.076578 0.059170 -0.082310
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-großer 0.064537 -0.072218 0.210411 0.054338 -0.075468 -0.006530 0.051668 0.216107 -0.125673 -0.057883 0.142747 0.029447 0.064869 0.056383 -0.263068 -0.012694 0.089907 0.119124 -0.166056 0.065587 -0.023709 0.229783 0.095195 -0.063624 -0.033271 -0.064689 -0.221825 -0.120150 0.056567 0.054284 -0.118273 0.124689 0.018258 -0.120816 -0.032582 -0.117944 0.044459 0.130219 0.030741 0.029973 -0.175350 0.118986 -0.023477 0.183500 -0.114821 -0.042228 0.083610 0.019466 -0.027233 0.071944 -0.102564 0.138272 -0.028536 0.121536 0.019221 0.027433 0.207709 -0.038135 -0.151138 0.095679 -0.106692 0.005095 -0.041268 0.040717 -0.096130 -0.091090 -0.137265 0.041868 0.131109 0.092029 -0.264350 0.006275 -0.089755 0.006524 0.141744 -0.089666 0.205054 -0.171965 -0.062402 -0.124950 -0.033204 -0.110114 -0.158290 0.015293 0.112718 0.020769 -0.075957 0.082933 -0.069246 0.115209 -0.224962 0.157464 0.035629 0.031375 -0.177153 -0.109464 0.156917 0.120007 0.133582 -0.224751 -0.007513 -0.055973 0.190907 0.001521 -0.050462 -0.051132 0.097429 0.004976 -0.147452 0.105516 0.132286 0.223615 0.054318 -0.028294 -0.198492 -0.024874 -0.240130 -0.031775 -0.159904 -0.009947 0.088564 0.001590 -0.101840 0.084238 0.100212 0.050830 0.116098 -0.138180 0.204248 0.019539 0.046654 0.175485 0.099758 0.061630 -0.079590 -0.065603 -0.061343 0.087774 0.004337 -0.024770 0.031608 0.212607 0.023728 0.148886 -0.152959 -0.059755 -0.107783 -0.205791 0.004838 -0.025718 -0.135932 0.084298 0.039365 -0.026729 0.132677 -0.139744 0.004291 -0.141692 0.099132 0.117194 -0.128484 0.087828 -0.078009 0.230710 -0.246312 -0.040812 0.137051 -0.074880 -0.036567 0.077867 -0.158491 0.113811 0.220908 -0.193966 -0.108648 -0.204216 -0.090524 -0.210185 0.023783 0.030243 -0.088561 0.059543 0.159321 0.023297 0.017078 -0.001586 0.150010 -0.032406 -0.073403 -0.119683 0.038802 -0.253911 -0.072706 -0.109333 -0.075447 0.118692 -0.234474 0.128191 0.061906 -0.047513 -0.229790 0.033081 -0.075974 -0.060678 0.037065 0.123582 0.070411 0.153793 0.053042 0.010982 -0.201014 -0.099477 -0.042697 -0.103906 0.017017 0.236915 -0.088144 -0.015719 0.021683 0.164504 -0.125390 -0.179341 -0.221378 -0.051080 0.182844 -0.190761 0.077078 0.181564 0.010073 0.156914 -0.021496 0.119515 -0.143062 -0.056135 0.185431 -0.062525 0.075560 -0.057970 0.048571 0.138050 -0.038375 -0.071366 0.248549 0.000954 -0.088120 -0.064206 0.030179 0.012412 -0.118166 -0.088455 -0.271365 -0.000412 -0.195270 -0.030621 -0.124969 -0.022375
-größeren -0.209230 0.064075 0.064348 0.094460 -0.035273 0.087301 -0.047929 -0.059140 -0.052415 0.071029 -0.091563 0.132435 -0.052782 0.052663 -0.087927 0.027553 -0.242391 0.046298 0.088060 -0.049234 -0.113418 0.141615 -0.101175 0.067486 -0.096824 0.074674 -0.077707 -0.072621 0.025264 0.169239 -0.005107 0.105407 0.041789 -0.049107 0.082995 -0.082711 -0.185197 -0.059602 -0.035666 -0.150799 0.092342 0.087559 0.011207 -0.054241 -0.085828 0.036506 0.092546 0.065618 0.036291 -0.106939 0.009844 -0.063755 -0.102476 -0.194314 0.169273 -0.014132 -0.004225 0.004539 0.016641 0.129388 0.098304 0.005237 0.000267 -0.058873 -0.087037 0.092752 -0.129963 -0.066642 -0.139141 -0.095599 -0.206235 0.139749 0.016158 -0.044146 -0.072460 0.161896 -0.100594 0.224458 0.228836 0.022048 0.049917 0.054167 -0.042033 -0.144047 -0.042650 0.014516 0.276906 0.086162 0.020471 0.002067 -0.091951 0.080696 -0.093187 0.174599 -0.014172 -0.130054 -0.178904 0.045287 -0.115755 -0.051937 0.047206 0.076706 0.098709 -0.005960 -0.161376 0.002662 0.152678 0.051064 -0.084574 -0.034212 -0.060781 -0.114431 0.050732 -0.052671 0.082736 0.043456 -0.037084 0.015562 0.135309 0.163156 -0.059054 -0.130142 -0.054895 -0.100945 -0.039846 0.156528 -0.012677 0.060350 0.073047 0.004809 -0.207366 0.004947 0.049755 0.025980 0.048167 0.013292 0.086152 0.069064 -0.140908 0.056203 -0.058121 -0.024935 -0.108018 -0.001895 -0.138924 -0.012400 0.236996 0.052732 0.105241 0.090600 -0.056831 0.143420 -0.084335 -0.014732 0.019986 0.025819 -0.065102 0.006624 0.148211 0.149429 0.102891 0.109854 0.134565 -0.022915 0.128445 -0.025524 -0.115804 -0.015706 -0.024303 0.009828 -0.008277 0.045840 -0.194976 -0.032106 -0.212844 0.092869 -0.000970 -0.064780 0.207766 -0.092122 0.041328 -0.004543 -0.006565 0.061375 0.029325 0.069887 -0.135378 -0.055742 -0.058572 -0.004345 -0.302385 0.193943 -0.026709 0.012254 -0.119774 0.051480 0.103968 0.173367 -0.000371 0.103431 0.116240 -0.052760 -0.001883 0.059215 -0.192894 0.025306 -0.013180 0.106597 0.224247 -0.055550 -0.070392 0.027651 0.295848 0.029521 0.059898 0.115438 0.052217 0.056544 0.025260 -0.049310 -0.073326 -0.062181 -0.101353 0.244614 -0.151214 0.081848 -0.053443 0.129333 -0.047001 0.128400 0.042210 -0.004751 -0.080465 0.081323 -0.108175 0.086053 0.016892 0.027725 0.155943 -0.124161 -0.141747 0.029080 0.063468 0.112292 0.071792 -0.053401 -0.036872 -0.142670 0.105134 -0.012949 -0.058704 0.015854 -0.078882 -0.029709 -0.166180 0.064418
-halte 0.110209 0.014016 0.187815 -0.140748 0.026318 -0.188740 0.034683 0.025718 -0.007120 -0.127888 0.061177 -0.069374 -0.056749 -0.105264 -0.077580 -0.115174 0.071636 0.065589 -0.173361 0.056055 0.251033 -0.033614 0.140258 -0.106573 0.153333 -0.047811 -0.069354 -0.080327 -0.105064 0.132647 0.089752 -0.003721 0.233123 0.007177 0.095257 -0.187596 -0.109749 -0.050875 -0.019174 -0.067296 -0.043075 -0.065627 0.081642 0.144590 0.099804 -0.050775 -0.064774 0.028201 -0.100683 0.101272 -0.105084 0.110490 0.091723 0.036973 -0.057105 0.132526 0.065454 -0.078522 -0.044056 -0.013620 0.015475 0.162989 -0.111485 0.049264 -0.262365 -0.088329 0.012529 0.052581 0.138678 0.040944 0.026823 0.071385 0.179932 0.098281 -0.031734 0.199117 0.053789 -0.067116 0.119674 0.056576 0.136401 -0.024930 0.119402 -0.051253 -0.062839 -0.001220 0.024114 0.099365 -0.046838 0.042266 0.110425 0.254945 0.058307 0.009336 0.000570 0.025841 -0.128404 -0.071312 0.067411 0.021134 -0.040794 0.052132 0.313026 0.083249 0.022936 0.169620 0.058494 0.072815 -0.009026 0.108198 0.042277 -0.009464 -0.164573 0.028081 -0.089017 0.029985 0.008582 -0.088659 0.008771 0.116341 0.176213 -0.052664 -0.111206 0.208328 -0.106903 0.181519 0.174785 -0.009805 -0.076086 -0.224726 0.105588 0.121129 -0.008497 0.107957 0.019363 -0.001562 -0.027740 -0.129759 0.014624 -0.138188 0.144059 0.170888 0.015997 0.011933 -0.223190 -0.105532 0.022650 -0.225181 -0.000016 -0.106629 -0.090659 0.146743 -0.032731 0.035674 0.107021 -0.058924 0.030830 -0.141982 0.041135 0.139506 0.022331 0.043821 -0.094474 0.055919 -0.055274 -0.099485 0.112070 -0.056526 0.209149 0.067911 0.141825 0.068639 0.172041 -0.018234 -0.070464 -0.054389 -0.228191 0.162677 0.166387 0.163472 0.040826 0.022297 -0.040386 0.127965 -0.026597 -0.014438 -0.033339 0.019841 -0.152173 -0.103027 0.111104 0.016262 -0.247106 0.116263 -0.145131 0.219772 -0.008013 0.086117 -0.008708 0.043791 -0.110657 -0.075772 -0.062573 -0.132814 -0.009675 0.204724 0.207241 -0.062303 0.155709 0.041546 -0.082869 0.000573 -0.082664 -0.056120 0.054394 0.224170 0.050505 -0.079863 -0.087293 0.072778 0.008019 0.006434 0.018661 -0.203729 0.109831 0.080442 -0.100654 0.005668 0.007638 0.081385 0.167768 0.042178 0.061252 -0.045461 0.042470 -0.108020 0.159845 0.043926 0.072763 0.152526 0.162174 0.003279 -0.060672 0.022884 -0.065165 0.020751 -0.060196 0.042412 0.014745 -0.057190 -0.038123 -0.120103 -0.192913 0.046268 -0.107496 0.095323
-heißt 0.055552 -0.000517 0.101241 0.076383 -0.014558 0.011412 0.068797 -0.053837 0.043472 0.099850 -0.105778 0.190158 -0.106795 -0.094741 0.093915 0.127745 -0.052943 -0.117498 -0.096833 -0.053812 0.033303 -0.107698 -0.097897 0.134155 0.068253 0.049725 0.033928 0.001087 0.083138 0.099827 0.156189 -0.065336 -0.036225 -0.096454 0.062086 -0.036415 0.052995 -0.119303 0.076780 -0.139642 0.045448 -0.111567 -0.093157 -0.058178 -0.072789 -0.058320 -0.111524 -0.059498 0.015768 -0.008457 -0.114572 -0.050731 0.138179 0.008942 0.090909 -0.116744 -0.138046 0.032721 0.080385 -0.061101 0.034099 -0.077135 0.056888 0.140056 0.059977 0.194012 -0.043265 -0.106896 -0.091032 -0.059636 0.029539 -0.068913 -0.057925 -0.202296 -0.143076 0.008768 -0.137095 0.042280 0.053677 0.129920 -0.053844 -0.007521 -0.012796 -0.010671 0.021990 0.055919 0.102732 -0.130075 -0.011330 0.178065 -0.003255 0.071109 -0.066652 -0.038940 -0.079793 0.048503 -0.113235 0.100786 0.013351 0.000454 0.066849 -0.002696 0.005151 -0.135612 0.033303 0.003792 -0.067051 0.017508 0.194770 0.044994 -0.151937 0.044334 0.108832 -0.008273 0.028981 -0.005832 -0.150468 0.108213 -0.107226 -0.047989 -0.027898 -0.084288 0.093135 0.009893 -0.001215 -0.023614 -0.074339 0.037135 0.022626 -0.099100 0.083268 0.062835 -0.052973 0.006901 -0.102134 -0.023592 -0.080068 0.057813 -0.174566 0.049783 -0.002622 -0.054749 -0.173325 0.019633 -0.005555 -0.158105 0.020363 -0.011150 -0.067103 0.118917 0.087382 -0.039885 0.100228 0.064159 -0.121066 -0.005947 -0.121036 0.046263 -0.099706 0.013455 -0.059701 -0.070686 0.005979 -0.030795 -0.085788 -0.008720 -0.127657 0.044648 -0.014385 -0.100550 0.099061 -0.050311 -0.040845 -0.135583 -0.113677 0.135651 0.131902 -0.021985 -0.000253 0.050148 -0.075776 -0.114256 0.014848 -0.011611 -0.029509 -0.130031 -0.068817 -0.007337 0.135605 -0.047088 0.056861 -0.018543 -0.073943 0.066323 -0.045880 -0.061420 0.258992 0.192412 0.071417 0.004960 0.070100 -0.067372 -0.015385 -0.068381 -0.017841 0.095447 -0.106693 0.001363 0.024034 -0.121354 -0.101906 0.153513 0.148776 0.135212 0.099386 -0.087058 0.063332 0.052426 0.066064 0.131144 0.046779 -0.059229 0.061985 0.078590 -0.113266 0.106439 -0.043479 -0.027937 0.000059 -0.061346 0.029036 -0.106984 0.023212 -0.039755 -0.014427 0.127117 -0.140053 0.090140 -0.000996 -0.030094 -0.072107 0.030888 0.180103 0.069432 -0.089352 0.027486 0.130290 0.102254 0.150958 0.066240 0.075577 0.020042 -0.033919 0.174706 0.010396 0.118848
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-tatsächlich -0.077148 0.040343 0.015444 -0.230182 0.044195 0.025644 -0.133827 0.111344 0.070976 0.029433 -0.102967 0.076821 0.085680 -0.106752 0.097537 0.025877 0.179892 -0.078825 0.139368 0.012082 0.112597 0.029714 -0.059316 -0.181765 0.141524 0.079938 0.045192 0.070080 -0.031626 -0.016432 0.156416 -0.042711 -0.096640 0.187499 0.046877 -0.068365 0.036362 0.134676 0.004645 -0.155432 0.001646 0.074597 0.066133 -0.139883 -0.064918 -0.097169 0.135002 0.081330 0.104300 -0.070693 0.177288 0.046394 -0.092687 -0.166313 0.038106 0.198571 0.113968 -0.102941 0.100464 0.073820 -0.044281 0.139752 0.037445 -0.160888 0.134883 -0.138144 0.045032 0.037342 -0.162466 0.079707 -0.065146 -0.115023 0.067728 -0.042844 -0.081606 0.043605 -0.024719 -0.014471 0.119397 0.031719 0.053457 0.096902 0.016416 -0.116497 0.036717 -0.160010 -0.006192 -0.046863 0.150541 -0.157408 0.017749 0.182032 -0.080564 0.067330 -0.043422 -0.040903 0.012664 0.035256 0.117867 0.115101 0.075442 -0.055575 -0.002810 0.015321 -0.019110 -0.075051 0.048657 -0.024875 0.034500 0.058228 0.109841 0.068374 0.120503 -0.066598 -0.037765 -0.054459 -0.132427 0.038285 0.128521 -0.153640 -0.002082 0.046447 -0.104946 0.135784 -0.196525 0.104433 0.043015 0.048101 0.144094 -0.067490 -0.165411 -0.004589 -0.010216 -0.144340 -0.051394 -0.008208 -0.084215 -0.186427 -0.003716 0.000459 -0.058297 0.124420 -0.102196 0.182667 0.057258 0.043439 0.116969 -0.047467 0.027604 -0.037017 0.002392 0.067297 0.073479 0.074602 -0.085280 0.009687 -0.096393 -0.076809 0.019107 -0.047249 0.028865 0.001201 -0.056952 -0.095324 0.013309 -0.050647 0.021987 0.031803 0.110019 0.129722 0.041375 0.127239 -0.083326 0.078250 -0.027653 -0.075699 -0.083813 0.062882 0.014440 0.087427 -0.029052 0.099259 0.130806 0.015221 -0.024455 0.132377 0.026116 0.010351 -0.031360 0.054376 -0.015215 0.017338 -0.149638 -0.029464 -0.003998 -0.009375 -0.128321 -0.114799 -0.199012 0.043271 0.057492 -0.024391 0.019946 0.114368 -0.075833 0.019692 0.031147 0.113081 -0.029908 0.076690 -0.073656 0.147680 0.024164 0.011616 0.057322 -0.088382 -0.069120 0.083029 0.027091 -0.135696 -0.131995 0.040876 0.109077 0.106693 -0.070689 -0.082568 -0.109412 -0.134606 0.013870 0.040641 -0.026797 0.096782 0.099432 0.026151 -0.036369 0.064992 0.179093 0.019746 0.103465 -0.145857 0.150444 -0.003175 -0.062778 -0.073755 -0.016492 -0.118107 -0.020326 0.062734 -0.118037 0.153765 -0.049304 0.114642 -0.081719 -0.027281 -0.078929 -0.084710
-unbedingt -0.058559 0.101889 0.002493 0.015675 -0.059096 -0.006891 -0.067064 0.095099 0.055733 0.021379 -0.049306 0.013878 -0.019605 -0.118621 0.018415 0.139684 -0.079423 -0.007769 0.013381 0.001545 -0.018176 -0.097633 -0.209557 0.083013 0.003409 -0.067806 -0.090581 -0.113430 -0.018524 0.020337 -0.103801 0.057127 0.060269 -0.111476 -0.023188 0.106990 -0.150997 -0.172802 0.047485 -0.037427 0.113395 0.098733 -0.015243 -0.044211 0.057991 0.084861 0.059409 0.021457 0.033919 -0.026572 0.060084 -0.057648 0.080694 -0.175508 -0.044026 0.002139 -0.025944 0.042302 0.140796 0.068231 0.051915 0.070981 0.006018 0.121100 0.063125 -0.026467 0.055210 -0.035241 -0.043732 -0.051959 -0.084188 0.038040 -0.053660 -0.130111 -0.076156 -0.120393 -0.069772 0.032319 0.046267 0.223143 0.101334 -0.058986 -0.117228 -0.106660 0.032191 -0.096632 0.035949 0.055477 0.056154 0.104989 0.045367 -0.105622 -0.003344 -0.037102 -0.117510 -0.051645 0.070977 0.086344 0.088062 0.130081 -0.081926 0.084202 -0.119979 0.070186 0.006968 -0.064118 0.076540 0.100884 0.161033 -0.061428 0.098414 -0.170628 -0.021716 0.057100 0.134558 -0.083445 0.086624 -0.031027 -0.141595 0.153655 -0.147484 -0.121227 0.109578 -0.007946 -0.120132 0.093989 -0.168916 0.151952 -0.150630 -0.127849 -0.096516 -0.138478 0.071244 -0.088770 0.025572 -0.104109 0.071178 -0.024399 -0.026684 0.187435 0.024169 0.092050 -0.125757 -0.002091 0.112251 -0.147563 0.019149 0.076812 0.034747 0.050859 0.088680 -0.077916 0.021883 -0.060117 -0.130915 0.098673 -0.047372 0.092605 -0.145077 -0.038562 -0.091725 -0.120740 -0.167923 0.068656 0.000181 0.037376 0.076263 0.002641 -0.116296 0.053112 -0.031111 0.007946 -0.093426 -0.032477 -0.068939 0.176676 -0.079804 -0.083413 0.073826 -0.006920 -0.248414 -0.108951 -0.160049 -0.018452 -0.048224 0.068744 -0.025428 -0.079830 0.155189 0.095466 -0.147838 -0.084231 -0.104329 -0.028414 0.007672 0.117118 0.202632 0.114841 -0.031820 -0.023831 0.085023 0.071915 0.030968 0.045911 -0.097485 -0.048331 0.095738 0.087573 -0.148123 0.027773 -0.015475 0.166860 -0.079515 -0.040978 -0.050029 0.015138 0.028733 0.099560 0.060135 0.103415 -0.080098 -0.044585 -0.111161 0.072205 -0.099306 0.095099 -0.091712 -0.004409 -0.125415 -0.016419 -0.138429 -0.010077 -0.085420 0.034677 -0.115909 -0.035881 0.007198 -0.182967 -0.095056 -0.059750 -0.226743 -0.028605 0.084709 -0.014153 0.058659 0.030870 -0.056920 -0.206599 0.101619 0.100617 0.092842 -0.150319 -0.000533 0.006862 -0.126937 -0.071184
-verantwortlich 0.129200 -0.088047 0.055037 -0.067525 -0.024086 -0.028603 -0.029449 -0.056151 -0.115574 -0.074824 0.185073 -0.015016 -0.104274 0.064664 -0.007574 -0.026187 0.011670 0.005513 -0.005720 -0.031396 -0.097244 0.012412 0.038731 -0.095634 0.081959 -0.023923 0.063563 0.011822 0.026586 -0.062310 -0.028189 -0.117890 -0.016735 -0.087030 0.001318 0.088364 0.070945 0.180854 0.108883 0.095998 -0.004305 -0.218697 0.080410 0.070120 0.001424 0.068218 -0.162315 0.050477 -0.145805 0.037020 -0.087068 0.203699 -0.002467 -0.017600 -0.081153 -0.050823 0.065597 0.045489 -0.072863 0.062365 -0.068444 -0.247828 -0.009462 0.056176 0.122938 0.015850 0.133841 -0.078121 0.044264 -0.114926 0.030183 -0.127424 0.053173 -0.072300 -0.133817 -0.097229 -0.078219 0.023583 -0.026369 -0.122623 0.139608 -0.099478 -0.191822 -0.108333 0.171193 0.112859 -0.077914 -0.106171 0.018012 0.079087 0.044427 0.022043 -0.141487 -0.079339 0.105251 0.022105 0.017191 0.046672 -0.099237 0.064508 -0.140225 0.020547 0.041000 0.030792 0.025187 -0.020947 -0.054929 -0.009643 -0.093839 0.054322 -0.029697 0.003698 0.073365 -0.018570 0.021626 0.023143 -0.022071 0.208376 -0.117564 0.144155 0.050351 0.186950 -0.016339 0.100357 0.025581 -0.184971 0.149096 -0.017247 0.057978 -0.113462 0.019059 0.056051 0.022487 -0.096555 0.009104 0.092980 -0.069310 0.028012 -0.014001 -0.061706 -0.079969 0.072800 -0.017785 -0.077190 0.168526 -0.024930 -0.129251 0.013671 0.012498 -0.060371 -0.042980 -0.106236 0.032341 -0.204031 0.114176 0.069086 0.091745 -0.083864 0.048438 -0.056151 -0.101192 -0.071105 -0.049066 -0.003515 -0.186818 -0.201313 -0.108735 -0.098965 0.061585 -0.061857 -0.125894 0.101539 -0.013126 0.080364 0.055916 -0.020621 -0.026910 -0.031882 -0.103463 -0.122938 0.123376 -0.022786 0.059934 -0.026034 -0.026944 0.020105 -0.000961 0.080002 0.004382 -0.145838 0.046776 -0.049778 -0.162116 -0.006886 0.019126 -0.023077 0.056893 -0.126261 -0.009484 -0.023412 -0.005509 0.085394 -0.005516 -0.003137 0.125719 -0.089684 0.137363 0.095370 -0.072589 0.092983 0.015037 -0.058095 -0.092378 0.150138 0.141830 -0.029610 -0.133036 0.031805 -0.018265 0.012428 -0.028978 0.018085 -0.069698 0.030923 0.082247 -0.077917 -0.062449 -0.050079 -0.050708 0.041753 0.029599 0.090420 0.052113 -0.035239 0.092802 -0.085951 0.091987 -0.115525 -0.048215 0.024240 0.081337 0.000459 -0.007915 0.056686 -0.181556 0.011157 0.055594 0.029715 -0.095015 -0.063613 0.067904 -0.138503 0.021785 0.052655 -0.039129 0.052234
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-wenige 0.181641 -0.099032 -0.080444 -0.076578 0.048781 -0.197548 -0.108163 -0.096564 -0.035910 -0.023783 -0.139889 0.053627 -0.098094 0.037844 0.040300 0.043454 0.098998 0.145297 -0.011592 0.114563 -0.009358 -0.057556 -0.071533 0.056238 0.017959 0.025314 0.024943 -0.132275 0.000232 0.100787 -0.036075 -0.013127 0.150366 -0.094828 0.145581 -0.056977 -0.067197 -0.054612 0.147862 -0.011715 -0.008025 -0.089444 0.057186 -0.036327 -0.040545 -0.033421 -0.012126 0.014288 -0.011426 0.047568 -0.072357 -0.062513 -0.018829 0.019828 0.021947 0.214553 0.066040 0.048477 -0.092719 0.109477 0.139354 0.220919 -0.002155 -0.071627 -0.314812 -0.017276 -0.025251 -0.104705 -0.025103 -0.045045 -0.120966 0.056016 0.052586 -0.000556 0.064908 0.243529 0.020485 -0.057053 0.029875 -0.043428 0.012275 -0.018391 0.102704 -0.043761 -0.199291 -0.026462 0.053977 -0.086775 -0.170936 0.106333 -0.134638 -0.022379 0.075323 -0.020323 -0.062862 0.043752 -0.100414 0.081726 0.107373 -0.089261 0.015097 -0.035030 0.091193 -0.153028 -0.005006 -0.066232 0.129895 -0.059533 0.025062 0.116006 0.057417 -0.103089 -0.063950 -0.132117 -0.020060 0.044233 0.001023 -0.034685 -0.027939 0.057040 0.001194 -0.026488 -0.009177 0.168095 -0.067575 0.136225 -0.097900 0.002291 0.013014 0.037868 -0.013318 -0.018196 0.015227 -0.013821 0.016631 0.016103 -0.081789 -0.026901 -0.106342 0.008314 0.092470 -0.138233 -0.017948 -0.057996 0.012512 -0.058799 -0.022421 -0.013528 -0.030522 0.054623 -0.209853 -0.150959 0.165081 -0.032445 0.053304 -0.009633 -0.102995 -0.090310 -0.020952 0.087722 0.167299 -0.009338 -0.044703 -0.057897 -0.087948 -0.129629 -0.027714 0.024052 0.067771 0.007452 0.058451 0.080952 0.158354 0.065954 -0.066320 -0.062767 -0.045370 0.070590 0.098401 -0.028176 -0.003901 -0.077937 -0.087982 -0.059522 -0.077076 0.113802 0.093783 -0.112503 -0.250964 -0.061428 0.024360 -0.050365 -0.044985 -0.023385 -0.229011 0.184640 0.001739 -0.132647 -0.049048 0.091715 0.056848 -0.094833 0.125333 -0.056254 0.024907 -0.087214 0.085448 0.083276 0.074340 0.000455 -0.073773 -0.038109 -0.050661 -0.033803 0.143786 0.082658 -0.024126 -0.140017 -0.056123 0.045387 0.046885 0.108375 -0.174294 -0.092506 -0.162419 -0.047004 -0.054545 -0.012627 -0.072203 0.150300 0.210258 -0.005198 -0.010603 0.105316 -0.039064 0.152939 0.023227 0.056511 0.125166 -0.071889 -0.098217 0.001614 0.029016 -0.076845 -0.024290 -0.029782 0.057249 0.112855 -0.005355 0.114652 -0.070156 0.151269 0.047233 0.027092 -0.135393 0.020537
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-entwickeln 0.036198 -0.007890 0.064779 -0.207583 0.050494 0.084503 -0.141679 -0.049723 0.073030 0.007579 0.144688 -0.111241 0.007038 -0.172114 0.080853 0.017590 0.242813 0.060048 0.032014 0.199964 0.013543 0.219458 -0.143331 -0.110099 -0.158851 0.027574 0.018936 -0.023503 -0.135219 0.030055 0.065657 -0.011116 -0.016366 0.107971 -0.119004 -0.027349 0.199714 0.097286 0.184580 -0.040297 -0.197169 -0.068878 0.062518 0.072493 -0.008683 0.021292 0.151763 -0.024244 -0.103972 0.057505 0.009825 0.018400 0.066491 0.015089 -0.132558 0.171797 0.045843 0.041876 -0.093397 0.106481 0.094004 -0.047313 -0.214613 -0.063836 -0.014108 -0.090424 0.142735 -0.099589 0.118346 0.051516 0.034082 0.090858 -0.058489 0.096153 -0.011434 -0.069316 0.087841 -0.124897 0.022013 -0.128972 0.024308 0.021712 0.169369 0.008889 -0.103446 0.117279 0.041859 0.036992 -0.033695 -0.132576 -0.095015 0.157746 0.088989 -0.026085 0.095320 0.020151 -0.086048 0.083454 0.120437 -0.045405 0.023591 0.011334 0.295358 -0.024675 -0.111759 0.092773 0.097458 -0.079519 0.044267 0.129715 0.112552 -0.019543 0.118043 -0.094175 -0.122878 0.162181 -0.129609 -0.087511 -0.015606 -0.037092 0.129136 0.089332 -0.150420 0.041928 0.033897 0.032813 -0.170763 -0.131488 -0.041602 -0.131481 0.078060 0.150380 0.146422 0.024329 -0.056214 -0.011494 -0.042560 0.062185 -0.100879 -0.055130 0.095715 -0.008318 0.009993 0.215454 -0.010717 -0.059144 -0.095978 -0.084236 0.025168 -0.096625 0.043808 -0.148399 0.079199 0.092040 0.081017 -0.097998 0.177721 -0.061815 0.218661 0.064431 0.027910 0.272598 -0.009837 -0.046158 -0.027728 0.036379 -0.034261 -0.153992 0.287807 -0.058669 -0.023179 -0.120749 0.255351 -0.125179 0.011498 -0.061469 -0.115331 0.033789 -0.013986 0.134889 0.262089 0.058196 0.016388 0.042881 -0.133036 0.065032 0.093387 -0.009311 0.009507 -0.012369 -0.008288 -0.056596 -0.005100 0.065411 -0.091658 0.029860 -0.076469 0.066032 0.157022 0.133851 -0.001434 0.109613 0.054494 -0.081148 0.050543 0.185262 0.058877 -0.081845 0.096021 -0.092945 -0.051281 0.189252 0.014174 -0.015509 0.055743 -0.019104 -0.034934 0.014997 -0.001988 -0.030791 0.048719 0.159347 0.093562 -0.204109 0.046514 -0.025706 0.155505 0.009736 0.024911 0.141185 -0.028591 0.208867 -0.050928 -0.059031 0.020278 -0.051789 -0.025362 0.035384 0.103924 0.028553 0.190754 -0.132592 -0.093934 -0.119443 -0.038799 -0.104221 -0.026004 0.017799 -0.146092 0.174124 -0.012206 -0.040194 -0.097661 -0.085048 -0.014695 0.059538
-freuen 0.015924 0.042162 0.118697 -0.177391 0.056929 -0.098991 -0.132956 0.011263 -0.054766 -0.030164 -0.023338 0.041379 -0.008942 0.004619 0.078349 0.093584 -0.012735 0.062766 -0.135184 -0.080445 -0.006755 0.041931 -0.108296 0.007989 -0.065021 -0.000169 0.032712 -0.006816 0.020472 -0.095989 0.098030 0.061263 0.004019 -0.096822 0.104301 -0.205565 -0.047512 0.126200 0.017063 0.022632 -0.111001 -0.049238 0.094618 0.035669 -0.023037 -0.115372 -0.083028 0.021030 0.077746 0.140698 -0.066677 0.109090 -0.008404 -0.015890 0.029434 0.105900 -0.029898 -0.101665 -0.059026 0.113872 0.006452 -0.018305 -0.182947 -0.064449 -0.179840 -0.034559 0.064146 0.001903 0.021346 -0.116677 0.080335 -0.063896 0.113588 -0.007002 -0.058806 0.036488 -0.049801 0.022674 0.161522 -0.047757 0.094678 0.029373 0.070609 -0.035321 -0.200160 0.032668 0.032334 -0.134137 0.101460 -0.031130 -0.032241 0.155018 -0.088385 0.112346 -0.008965 0.006011 -0.049264 -0.054767 0.029078 -0.032099 -0.009826 -0.027624 0.005058 -0.069693 -0.022456 -0.145367 -0.046282 -0.008714 -0.044799 -0.042880 -0.031314 -0.140564 -0.043929 -0.019206 -0.085826 0.010191 0.064210 0.001844 0.015325 -0.068297 -0.050852 -0.173604 0.048520 0.079565 -0.078621 0.055789 -0.100597 0.020121 0.050894 -0.185260 0.088017 -0.092147 0.178608 0.025790 -0.043062 0.039870 0.060728 -0.117898 0.061720 0.007446 0.046139 0.024056 -0.026020 -0.094717 -0.040477 -0.013481 0.105773 -0.015789 0.151473 0.067609 0.002476 0.072458 -0.049650 0.070944 -0.089830 -0.037771 0.111549 -0.173337 0.096295 0.140709 0.112466 -0.060997 -0.104202 0.002124 -0.034633 -0.071329 -0.036331 0.056168 0.107167 -0.017262 0.074429 -0.025646 -0.078224 -0.028822 -0.148335 -0.060774 0.108841 0.112047 -0.058583 -0.010618 -0.006979 -0.001808 -0.069204 -0.062592 -0.097921 0.060855 0.069041 0.063020 -0.124634 -0.022594 0.056476 -0.008024 0.019562 0.054553 0.058983 0.202584 -0.023459 -0.066418 0.082800 -0.008602 0.048440 0.003798 0.075642 -0.051757 -0.027646 -0.033103 -0.126200 0.037437 -0.000951 0.020344 -0.104986 0.072001 -0.015337 -0.027373 0.042117 -0.056808 0.145703 -0.151326 0.094204 -0.040320 -0.026571 -0.024780 0.069006 -0.003741 -0.012096 0.064807 -0.015780 -0.061515 0.006676 0.015620 0.050057 0.063165 -0.029932 0.044809 0.047456 -0.080812 0.158809 0.054198 0.176689 0.003680 -0.044044 -0.030169 0.020916 -0.150444 0.058151 -0.160816 0.038884 0.095969 0.056717 0.079013 0.079302 -0.043277 -0.076390 0.110209 -0.087213 0.051704
-gemäß 0.124126 -0.071120 0.012972 0.050932 0.011747 -0.026943 0.004692 0.009123 -0.138960 0.113759 0.088307 -0.020182 -0.058908 0.035121 -0.109599 -0.019796 0.024890 0.053974 0.044708 0.170720 0.049873 0.008694 -0.021800 0.056784 -0.030910 -0.054361 -0.101627 -0.082845 -0.045178 0.158729 0.162025 0.023466 0.060463 -0.050064 0.008399 0.015880 -0.165827 0.077135 -0.042432 -0.121108 0.104839 0.067661 0.044323 -0.080359 -0.019196 -0.000504 0.009373 -0.021518 -0.085660 0.012529 -0.041949 0.075452 -0.025064 -0.072042 -0.050885 0.092006 0.102362 -0.148456 -0.046392 0.163964 0.013572 0.029078 -0.076759 0.046333 -0.048391 -0.113363 0.095684 0.101517 -0.003566 0.071049 -0.116062 0.119090 0.101436 0.037282 0.055655 0.202741 0.178703 -0.066647 0.080516 0.044585 0.087614 -0.075076 0.008472 -0.033125 -0.122791 -0.080819 0.057160 -0.120204 0.019639 0.104349 -0.028648 0.058479 0.076544 -0.005960 -0.044420 0.098308 -0.102212 0.074467 0.196082 -0.022769 0.018110 0.207957 0.050818 -0.088197 -0.133783 -0.062355 0.126195 -0.041512 -0.041056 0.151093 0.057256 -0.033441 0.036298 -0.017985 -0.081744 -0.042597 -0.013793 -0.088542 0.046227 0.041194 0.135229 -0.123197 -0.102332 0.030442 0.140980 0.211371 0.046681 -0.105109 0.062975 0.033895 -0.039280 0.056165 0.110205 0.035918 0.130318 -0.056219 0.033792 -0.114792 -0.169225 -0.031411 0.071605 -0.001825 0.096326 0.118144 -0.026919 -0.139240 0.065619 -0.135394 0.170146 -0.116916 -0.051635 -0.032690 0.044531 -0.024929 -0.001435 -0.049021 0.056310 -0.040194 -0.031319 0.145608 0.095746 -0.024126 0.101386 0.104815 -0.129625 0.004546 0.029991 0.169932 0.163146 0.021957 -0.051369 0.012689 0.025354 0.023628 -0.133535 -0.134768 0.060018 0.006167 0.082130 0.055193 -0.124678 -0.013097 0.014457 0.138766 -0.053399 0.047318 -0.024000 -0.026509 0.053101 -0.048753 0.037118 0.025990 -0.010893 0.090970 -0.075929 0.052382 -0.045077 -0.040157 -0.072318 0.117258 -0.088970 -0.073605 -0.004739 0.039530 -0.050571 -0.006793 -0.002822 -0.047097 0.168532 0.069443 -0.153595 -0.057334 0.001894 -0.003778 0.098623 0.140579 0.080235 -0.243571 0.010715 0.163289 -0.002953 0.085477 -0.035779 0.050563 0.004686 0.060291 0.029163 -0.006745 -0.057455 0.170907 0.107344 0.093357 -0.068738 -0.011630 -0.060403 -0.054957 -0.001553 0.098076 0.137650 0.047299 0.124289 0.108034 0.211289 -0.003222 -0.023872 -0.235551 -0.038304 0.063128 0.007091 -0.002205 -0.016298 0.008125 -0.053420 0.005773 -0.021391 -0.016759
-hinter 0.176014 0.189407 -0.053231 -0.073559 0.003711 -0.034279 -0.027460 -0.081660 0.038138 -0.116388 0.027828 -0.012819 0.034310 0.069624 -0.127716 0.032295 -0.073931 0.072258 0.063519 0.083492 0.055217 0.196081 -0.119570 0.109697 -0.092338 -0.002623 0.007435 -0.195934 -0.035029 0.114912 -0.014989 0.011782 0.035095 0.088284 0.085316 0.027038 0.058263 0.067839 -0.014197 0.073514 0.006707 0.183387 0.036720 0.017372 0.087345 -0.105174 -0.043777 0.050898 0.151634 0.002054 -0.044297 -0.000028 0.073864 0.129656 0.010726 0.108587 0.120165 -0.067218 0.034753 -0.054000 0.071695 -0.035436 0.110403 0.078851 0.028018 0.067207 0.116051 -0.050468 0.013506 -0.039134 -0.110696 -0.010752 0.118663 -0.023709 0.039977 0.014111 0.016869 -0.056122 -0.100354 -0.085770 -0.090936 -0.022846 0.131674 0.083168 -0.094609 0.014106 0.106898 0.056886 -0.014646 0.068349 -0.009475 -0.005969 0.030549 0.003443 0.087083 0.037090 0.040989 -0.109411 -0.011492 -0.061374 -0.046807 -0.048815 -0.020171 0.028426 -0.010810 0.010143 -0.142856 -0.058625 -0.106262 -0.033243 0.018482 0.100193 -0.173760 0.040706 0.010951 0.050010 0.092919 -0.067751 -0.009044 0.043044 0.011444 0.022332 0.007921 0.144887 0.080569 0.020991 -0.031879 0.027873 -0.128993 0.035876 -0.147331 0.078736 -0.054672 -0.041366 -0.002541 0.078043 0.113717 0.102906 -0.096593 0.011069 0.104619 -0.064433 -0.034212 -0.087222 0.020264 -0.053787 0.000073 0.008110 -0.001650 0.072126 -0.035004 0.119100 -0.053660 0.179098 0.063490 -0.142518 0.014577 -0.074104 0.004913 -0.068804 0.087870 0.082591 0.072033 0.097364 0.070986 -0.093403 -0.043070 0.035654 -0.062402 -0.134252 0.085611 -0.195876 0.118622 -0.044937 0.111439 -0.026738 -0.146929 0.087435 -0.070004 0.048778 -0.035205 -0.180074 -0.043014 -0.181670 0.002685 -0.024306 0.024206 0.120906 -0.125234 -0.008800 0.048461 -0.090513 0.108084 -0.053639 0.037902 0.022776 -0.033211 -0.032772 -0.023007 0.239116 0.076483 0.060506 0.042218 0.050739 -0.036554 -0.134646 -0.080175 0.006857 0.155918 -0.122299 -0.002665 0.006231 -0.057242 0.039301 0.127923 0.097768 0.004916 0.000311 -0.049503 -0.032418 -0.055191 -0.059010 -0.154002 -0.003691 -0.055641 -0.047942 -0.083584 0.102037 0.130897 -0.025460 0.111711 0.071320 -0.057511 -0.025345 -0.062151 0.102049 -0.095079 -0.053791 0.016485 -0.049365 0.101742 0.061128 0.039198 -0.228794 -0.125414 0.006825 0.099837 0.074989 0.024864 -0.117036 -0.022151 0.169649 -0.003273 0.051578 0.025704 0.003915
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-GmbH -0.104973 0.095723 0.045782 -0.078482 0.149119 -0.168611 -0.052671 -0.002005 -0.022017 -0.031736 -0.115889 -0.099913 -0.083516 -0.021500 -0.073258 0.163071 0.033909 -0.044770 -0.009387 0.149285 0.109029 0.139757 0.020828 -0.016468 0.030785 -0.005813 0.005297 0.063408 -0.191019 0.125731 0.208487 0.057227 -0.014774 0.038626 0.044030 -0.007090 -0.073260 -0.069331 0.003718 -0.121186 0.051658 0.006574 0.169726 0.144561 -0.095685 -0.105700 -0.060337 0.027405 -0.159313 -0.005298 0.027081 0.098775 0.034505 -0.082996 -0.059602 0.040733 0.037381 -0.201424 -0.028734 0.049759 -0.002984 0.144067 0.037680 -0.070016 0.097806 -0.087003 0.003546 -0.027076 0.035590 -0.180572 0.003458 -0.035360 -0.021949 0.027943 -0.074324 -0.079028 0.087771 0.022693 0.107521 0.151440 0.013886 0.068694 -0.002991 0.022769 -0.063063 -0.111560 0.127142 -0.056633 -0.096027 -0.044085 -0.141691 0.103750 0.098681 0.069562 0.092791 -0.099990 -0.138205 0.093397 -0.032906 -0.036579 0.007811 0.051206 0.102495 -0.007672 -0.154702 -0.049504 -0.119465 -0.028541 0.021810 0.090087 -0.025273 0.035238 0.197653 -0.027700 -0.061592 -0.110540 -0.043580 0.044480 -0.001773 0.168428 0.118987 0.107047 -0.062617 -0.033911 -0.098792 0.217043 -0.036851 -0.211720 0.101191 -0.191285 -0.174352 0.036494 -0.038953 0.071982 -0.074412 0.164349 0.124371 0.015770 -0.000125 -0.109860 0.112894 0.022207 0.130674 -0.058261 -0.101239 -0.069795 -0.022102 0.129183 0.090717 0.034112 0.093837 0.021731 0.163834 0.056405 -0.045609 0.088979 -0.039767 -0.063143 0.066588 0.135270 0.016266 0.188885 -0.151943 0.100077 0.012638 -0.130050 -0.046591 -0.142838 0.020960 0.019476 0.165433 -0.005616 -0.042262 0.006623 -0.118018 -0.112415 -0.060643 -0.022263 0.087175 -0.152800 -0.062044 0.046839 0.092539 -0.116168 -0.110812 0.157261 0.018886 -0.077190 -0.002161 -0.087141 -0.096010 -0.108692 -0.041055 -0.111947 0.072756 0.056385 -0.042803 0.164273 0.055842 -0.002454 0.103233 0.010163 0.042115 -0.009173 -0.010060 0.052238 0.097533 0.249699 0.138796 -0.067578 -0.126414 -0.026259 0.052202 -0.135955 0.044769 0.030838 0.102771 -0.059466 -0.038693 -0.045825 0.015700 0.078728 -0.086206 -0.110419 -0.002281 -0.022853 0.013089 0.084339 -0.030377 0.169486 0.096759 0.093574 -0.104738 -0.080341 0.127138 -0.109339 0.030610 -0.030190 -0.006286 -0.043793 -0.016408 -0.013755 -0.034824 -0.104514 -0.103752 -0.219534 -0.081461 0.005007 -0.107554 -0.113402 0.042867 -0.057219 -0.089864 0.056455 -0.157833 0.183962
-Grenzen -0.152484 -0.002709 0.045850 0.062243 -0.071449 0.137288 -0.007210 -0.097883 -0.107516 -0.014471 -0.019986 -0.000437 -0.011519 -0.115399 -0.028819 -0.026259 0.008638 -0.098169 -0.024367 0.038312 0.073460 0.104407 -0.065861 -0.036704 0.162393 -0.104259 0.175548 0.091967 0.058091 -0.185439 0.053334 -0.198069 0.023501 0.055527 0.101758 0.042784 -0.006780 -0.104102 -0.254181 -0.099363 0.011110 0.064519 0.086574 -0.210491 0.025910 0.052704 0.074025 0.102007 -0.055641 -0.104368 -0.006990 0.042724 0.107882 -0.179938 -0.007240 -0.225414 -0.127910 -0.063563 0.115013 0.094233 0.120939 -0.024108 -0.106660 0.010664 0.109609 0.040627 -0.183506 0.205019 -0.107306 0.058807 0.051316 -0.010996 -0.009394 -0.203655 -0.038207 -0.140856 -0.129085 0.068244 0.026212 0.121882 0.030548 0.060391 -0.067872 -0.088952 0.015873 -0.119386 -0.031300 -0.029539 0.176501 -0.097888 0.202917 -0.014453 -0.004764 -0.229786 0.036242 -0.034861 -0.039249 0.020873 0.073053 0.110371 -0.125521 0.000487 -0.045682 -0.012376 -0.091012 -0.127532 -0.015684 -0.068634 0.209647 0.101707 0.076949 -0.136248 -0.055587 0.093175 0.188456 -0.068013 -0.125078 0.048846 -0.081739 0.072011 0.063321 0.006702 -0.007803 0.101882 0.045905 -0.098518 0.001342 0.022702 -0.075348 -0.062514 -0.071180 0.062039 0.036849 -0.110030 -0.055384 -0.055026 0.035466 -0.155631 -0.077936 -0.027088 -0.162625 -0.015625 -0.136771 -0.224512 0.006806 -0.004067 -0.057429 -0.039401 -0.146452 0.092830 0.142227 -0.011424 0.039490 -0.013766 -0.016429 -0.027378 -0.102641 0.167195 -0.077865 -0.015425 -0.025750 0.009046 0.150520 -0.111221 0.215753 -0.077440 -0.033173 0.070063 -0.021298 -0.063530 0.228506 -0.040918 -0.028062 -0.093555 -0.048487 -0.104260 0.168678 0.071093 -0.048633 0.049831 0.153469 0.037702 -0.192361 -0.065546 -0.044105 -0.012812 -0.179889 -0.124433 0.081942 -0.046632 0.161545 0.142147 -0.069544 0.021926 0.032241 -0.031715 0.216826 0.132554 -0.014571 0.063339 -0.010485 0.071865 0.061001 -0.095680 -0.046832 -0.114211 -0.020562 -0.007962 -0.019022 -0.180035 -0.042188 0.221231 0.037455 0.051307 -0.037897 -0.169584 0.139590 -0.020243 -0.054083 -0.070022 0.043837 0.017403 0.037045 0.132284 -0.156770 0.077177 0.047840 -0.181052 -0.056161 -0.195758 -0.021751 0.134646 0.189219 -0.018833 -0.082882 0.077454 -0.186770 0.015473 -0.111455 -0.145241 -0.022138 0.023062 0.057962 0.043139 -0.123000 0.121088 0.112753 0.111779 0.084226 0.054948 0.065359 -0.021012 0.023261 -0.091834 0.039675 -0.014962
-Initiative -0.069637 0.132667 -0.068152 -0.026487 -0.110144 0.017772 0.117116 -0.079335 -0.078787 -0.049401 0.063673 0.097498 -0.057690 0.025063 0.039620 0.114704 -0.102544 -0.051733 0.178749 -0.095177 -0.066498 0.065235 -0.050136 0.169851 -0.113606 -0.035110 0.030669 -0.218183 0.175765 0.081963 -0.134436 0.040536 -0.163274 -0.029015 0.072219 -0.096777 -0.126861 -0.059099 0.021147 0.005591 -0.012854 -0.135591 0.038368 0.152560 -0.064842 0.044876 -0.009335 0.087527 -0.014465 -0.039469 0.092123 0.018379 0.091075 -0.034946 0.119103 0.074112 0.046642 0.155648 0.003181 0.189971 -0.007382 -0.022512 0.016353 -0.180932 0.007889 -0.056127 -0.156427 -0.044011 -0.133195 -0.048459 -0.045948 -0.008786 -0.187132 -0.003167 0.058659 0.003092 -0.038841 0.002722 0.104043 -0.106999 -0.034595 0.085343 -0.282222 0.008888 0.034183 0.005588 -0.033279 0.031897 0.157101 0.013593 0.099042 0.027855 -0.083937 -0.121551 0.052656 -0.149214 0.002990 -0.228400 -0.099629 -0.019931 -0.119624 -0.141502 0.010428 0.014873 0.035678 -0.185686 -0.032995 0.072571 0.123402 0.172172 0.059156 -0.025070 0.030932 0.038732 0.062215 -0.037634 -0.150541 0.040699 -0.095788 0.057278 -0.033686 -0.007345 0.026180 -0.106897 -0.029843 0.061067 0.015529 0.120459 0.000572 -0.096392 0.088067 0.094613 -0.050385 -0.032134 -0.109616 0.078586 -0.131232 -0.034917 -0.025711 0.194792 -0.013566 -0.058927 0.048910 0.017458 -0.049249 0.101109 0.024880 0.127510 0.146857 0.124547 -0.187917 0.034965 -0.035717 -0.092109 -0.067782 0.063769 -0.154612 -0.026239 -0.009497 0.104626 0.007787 0.047702 0.092676 -0.193828 0.027051 -0.148778 0.051682 -0.020360 -0.061242 -0.035274 -0.070072 0.018643 -0.065884 0.052361 -0.052606 0.010867 0.153108 -0.038294 0.037161 0.021898 0.037118 0.063764 -0.085070 -0.118284 0.057608 0.063113 0.027523 -0.124189 -0.017300 0.034000 0.078568 -0.187738 0.015701 0.126000 -0.021328 -0.094171 0.083124 -0.008304 -0.116017 -0.002841 -0.042117 -0.020373 0.051310 0.029652 0.109743 0.135609 0.100531 0.100707 0.096484 -0.098169 -0.062247 0.004797 0.028055 -0.121323 0.069486 0.105572 -0.057355 -0.131034 -0.030879 -0.050779 -0.303671 -0.224577 0.001401 0.235065 0.018669 -0.032192 0.048578 0.006825 -0.079788 -0.057126 -0.059985 0.037033 -0.020866 0.100806 -0.101653 0.029032 0.089730 -0.124533 0.042980 0.073799 -0.116775 0.100022 -0.046647 0.183598 0.041552 0.251917 0.068762 -0.062862 0.192058 0.095680 -0.024010 0.032667 -0.045117 0.157108 0.075286 -0.091699
-Ist 0.117901 -0.067168 0.005450 0.008478 0.083435 -0.104163 -0.072775 0.104671 0.057826 -0.187993 0.042833 -0.020397 -0.177980 -0.096477 0.046177 -0.099844 0.105414 0.091183 -0.152364 -0.071007 0.164739 0.139188 0.059986 -0.030893 -0.075608 0.051402 0.138349 0.095414 -0.048707 0.050546 0.010679 0.071702 0.013611 -0.023105 0.003355 -0.023911 -0.039901 0.058668 0.109249 0.140380 0.174259 -0.081173 0.166218 0.150267 0.047707 -0.144853 -0.049113 -0.100977 -0.208926 0.058233 -0.067910 0.198645 -0.063073 -0.081835 -0.123601 -0.009759 0.053057 -0.050874 -0.126615 0.185466 -0.095326 -0.010766 -0.224658 0.007838 0.041237 -0.252440 0.228752 -0.110382 0.048388 -0.139401 0.046652 0.071447 0.125597 0.145237 -0.075675 0.057232 0.089529 -0.094550 -0.123305 -0.190920 -0.006838 0.084403 0.049155 0.076173 -0.033739 0.075765 -0.038965 -0.099725 0.102025 0.105116 0.042939 0.000276 -0.112917 0.092868 0.040548 0.076288 0.049554 0.001982 0.047788 -0.050426 0.000025 0.115028 0.029168 0.021480 -0.125852 0.171308 -0.079470 0.015897 -0.009687 0.152788 0.026766 0.062147 -0.008309 -0.049815 -0.140379 -0.182808 -0.035427 -0.061335 0.065443 -0.010034 0.060223 0.099607 0.001063 0.169314 0.017867 -0.015758 0.143021 -0.138911 -0.074071 -0.140841 0.033989 0.055863 0.159273 0.147834 -0.026660 -0.087852 0.064071 0.056237 0.195023 -0.057326 -0.036489 0.101992 0.191719 0.085068 -0.035734 -0.080169 -0.062292 0.023418 0.042414 -0.115111 -0.082452 0.011152 -0.117688 0.074959 0.090627 -0.015267 0.181967 -0.056709 0.054319 0.170249 -0.070005 0.191962 -0.205933 -0.089488 -0.052864 -0.094382 0.084939 -0.037126 0.121394 -0.050520 -0.108387 0.142761 0.123890 0.097371 0.050514 -0.005493 -0.106574 -0.043095 0.072659 -0.027226 0.010435 0.147770 -0.040925 0.129483 -0.132475 0.146615 0.071729 0.159911 -0.049957 0.045548 -0.026494 -0.089049 -0.023039 -0.182939 -0.024256 0.074182 -0.151695 0.039408 0.123083 -0.053140 -0.147498 0.054144 -0.140747 -0.176001 0.101362 0.039874 0.095079 -0.054282 -0.078725 0.162906 -0.148517 -0.057804 -0.138225 0.060140 0.167764 0.052264 -0.022238 -0.146095 0.022052 -0.015955 0.108262 0.134342 -0.059566 -0.035254 0.113134 -0.175795 -0.036232 0.148181 0.266167 0.115511 0.071822 -0.009454 0.016297 0.037932 -0.043216 0.013965 0.050951 -0.138803 0.002869 0.089370 0.059142 -0.130675 0.015555 -0.057815 0.051548 -0.104903 -0.062856 0.020929 0.024819 0.059562 -0.073483 -0.096511 0.031895 -0.037952 -0.145812 0.157197
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-Mehrheit 0.026521 -0.026824 -0.146583 0.063973 0.003203 0.016588 -0.074383 0.131583 0.032748 -0.169279 -0.102501 -0.217594 0.145269 -0.002338 -0.222152 0.165899 0.051478 -0.070200 0.102034 0.069414 -0.083831 -0.023597 0.001216 -0.102490 -0.037954 0.032161 0.119265 -0.043005 0.001348 0.179264 -0.077884 0.025063 -0.034405 0.119077 -0.060193 0.094002 0.129274 -0.123655 0.121890 0.025704 -0.089405 0.057250 0.027669 0.072302 -0.028279 0.031783 0.172322 -0.203441 -0.172346 0.017076 -0.041285 -0.004708 -0.165558 0.190306 -0.052302 0.073387 -0.048360 0.086005 -0.169817 -0.026741 -0.046364 -0.000795 0.064602 0.088156 -0.109295 -0.157740 0.067766 -0.103767 0.257187 0.000993 0.013977 0.136226 0.050437 0.107634 -0.125259 -0.123871 -0.008673 -0.021279 0.029657 -0.128931 0.005994 -0.040207 -0.036754 0.160513 0.028625 0.117329 -0.021586 0.015526 -0.056227 -0.085479 -0.066558 -0.096917 -0.141358 -0.025790 -0.010109 0.096799 -0.035340 0.129557 -0.062860 -0.070791 0.177681 0.055806 -0.038273 -0.050719 -0.126168 0.111661 -0.058704 -0.111145 0.017767 0.001002 -0.005118 0.105842 0.000172 0.045777 -0.053343 0.041236 -0.082783 -0.019831 -0.013326 -0.063410 0.088957 0.043120 -0.067340 -0.108305 -0.115866 -0.036944 -0.019571 -0.188937 -0.045914 0.129321 -0.096623 0.076091 0.035871 0.076820 0.092509 -0.015185 0.020477 0.196768 0.022887 -0.040814 0.169730 0.096789 0.187759 -0.088684 0.049035 -0.149190 -0.004364 -0.007653 0.010945 0.007673 -0.045494 0.174023 -0.099159 -0.029516 0.004508 0.084451 0.135078 0.038494 -0.154739 0.061671 -0.108741 0.166996 0.069526 0.250392 -0.027490 0.222862 0.096028 -0.224227 0.041355 0.080128 -0.079576 -0.056001 0.301835 -0.052674 0.253182 -0.233896 -0.177775 -0.037731 0.024958 0.103292 0.015879 0.202393 -0.043839 -0.009702 0.060043 0.069716 -0.070647 -0.107764 0.036486 -0.074137 0.016407 -0.037972 -0.019477 -0.050976 0.071164 -0.034695 0.049711 -0.030288 0.106022 -0.161520 -0.059441 -0.151022 -0.016559 -0.012383 0.047270 0.180805 -0.000532 0.021798 -0.076657 0.116010 -0.098745 -0.007414 -0.025761 -0.000980 -0.009987 -0.016582 0.111157 0.109032 -0.160928 0.011076 0.172313 0.198954 0.084771 0.130423 -0.085205 0.022036 0.169767 -0.126732 0.056847 0.061067 0.021304 0.119925 0.026154 -0.087452 0.050901 0.032998 0.119162 -0.074516 0.065734 0.086093 0.189689 -0.084162 -0.030306 -0.193871 0.087905 0.195291 0.060700 0.052659 -0.137786 -0.135267 -0.104038 -0.009907 -0.048799 0.028698 0.046206 -0.036293
-Monate -0.000923 -0.060895 0.126711 0.055303 0.015225 0.085315 -0.040783 0.076291 -0.127492 0.058355 0.086603 0.038312 -0.035000 -0.017802 0.016487 -0.087135 0.071711 -0.178041 0.042095 -0.105017 0.110293 -0.199112 -0.011215 0.102032 0.114943 -0.002882 0.202656 -0.130867 0.017604 -0.019213 -0.077706 -0.126847 0.151141 -0.062111 -0.069465 -0.087457 -0.030660 -0.020312 -0.065190 -0.157519 0.144847 -0.119216 0.027957 0.053200 0.067729 -0.156230 0.157785 0.154437 -0.273077 0.086345 0.186857 -0.125925 0.053691 -0.062179 -0.132556 -0.024241 -0.233740 -0.167455 -0.017836 0.200344 -0.022183 -0.241136 -0.183104 -0.031240 -0.023675 0.116211 -0.069404 0.128580 -0.163032 -0.131673 0.110984 0.054866 -0.100407 0.068150 0.073267 -0.008128 -0.083366 0.040793 0.115924 -0.032521 0.240540 0.011034 -0.158010 -0.172132 0.032454 0.060066 -0.004842 -0.112348 0.038617 0.034585 0.239101 0.089782 -0.149686 -0.169372 -0.060374 0.109531 0.045946 -0.091780 0.213916 0.000912 -0.057235 0.013886 -0.204061 0.316217 -0.002289 -0.191180 -0.049077 0.315974 0.239353 0.001863 0.095681 -0.015701 -0.068488 0.151810 0.053021 -0.006481 -0.148828 0.106358 0.059180 0.151392 0.032949 -0.030294 0.211652 -0.005396 -0.232360 0.136581 0.043130 0.149428 0.100152 0.009249 -0.058766 0.039446 0.123137 -0.155638 0.060478 0.024083 0.067405 -0.210364 -0.065159 0.072901 0.025464 -0.035708 -0.176560 -0.079799 0.014062 -0.071523 0.008855 -0.066743 0.059625 -0.060332 0.139944 0.020607 0.029492 -0.150825 -0.055438 0.056473 0.009146 0.130036 -0.013592 -0.066792 0.002834 -0.018791 -0.166797 -0.148612 0.037606 -0.042869 -0.218616 0.129979 -0.178778 -0.063927 -0.157322 0.111122 -0.273904 0.070408 -0.153777 0.174777 0.060353 0.102573 -0.099022 -0.029898 0.049522 -0.055252 -0.081249 0.092767 0.057495 0.099037 -0.160710 0.041368 0.075701 0.089829 0.030893 -0.064348 -0.300693 0.013470 0.147249 0.083424 -0.059598 -0.082441 -0.080638 0.045720 0.083153 0.097298 -0.141979 0.002569 0.087126 -0.181267 -0.120582 0.112847 -0.074732 -0.065120 -0.076909 -0.091114 0.073871 0.127237 0.026523 -0.000464 -0.063000 -0.145770 -0.047927 0.042323 0.096568 -0.060605 0.015982 -0.053106 -0.099750 0.172312 -0.193521 0.083049 -0.062296 0.036047 0.248534 -0.260080 0.030152 -0.040095 0.174614 -0.146650 -0.158522 0.062392 0.076856 -0.114269 0.002389 -0.053625 0.103588 -0.127067 0.010873 0.004209 -0.013421 0.053109 -0.012146 0.043446 0.122796 0.041316 -0.105775 0.056743 -0.000569 -0.019376
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-Partner 0.133815 0.014140 0.158951 -0.156538 -0.045761 -0.004724 -0.256186 0.016702 -0.082559 0.017120 -0.200896 -0.022034 -0.169030 0.017521 -0.097585 0.057478 0.131953 0.092177 -0.084904 0.077017 0.039877 -0.013447 0.017481 0.000193 0.070801 -0.151455 -0.014976 -0.047427 -0.062433 -0.029229 0.151517 0.153711 0.103433 -0.048974 0.143827 0.006751 0.101009 0.033184 0.034295 0.068319 0.036147 -0.004247 0.167040 -0.092468 -0.012829 -0.024721 -0.026528 0.047372 -0.004685 0.038131 -0.006272 -0.043526 0.030853 0.106470 0.001601 0.131992 0.083008 -0.106450 0.069711 0.013434 0.047698 0.069766 0.056517 -0.045443 -0.052672 0.023567 0.102508 -0.027539 0.066304 0.112030 -0.008229 0.012670 0.006772 0.068520 -0.115558 0.088858 0.103738 0.065286 0.067251 -0.025391 -0.211717 0.041414 0.044612 -0.066108 -0.055269 0.071272 0.021155 -0.079193 -0.080532 -0.009694 -0.014794 -0.083039 -0.044157 -0.035190 -0.007959 -0.018229 -0.112456 -0.107483 0.059703 -0.162194 0.073854 0.115370 -0.044110 0.007333 -0.074872 -0.010264 0.061737 -0.026356 -0.026840 0.007974 -0.008948 -0.064775 0.020671 -0.005849 -0.021082 0.039809 0.054444 0.113386 0.031081 -0.032308 0.224196 -0.022264 -0.079496 0.100573 0.042648 0.107846 -0.080384 -0.053924 0.075320 -0.095735 -0.092383 0.028791 0.013832 0.082977 0.123885 -0.042871 0.041095 0.146638 0.069066 0.020611 -0.029615 -0.112857 0.011521 0.106025 -0.148619 0.034176 0.054692 0.069311 0.083281 0.023995 0.005933 0.199564 -0.059679 0.037940 0.127100 -0.044662 0.036186 0.045957 -0.009205 0.105797 0.171527 0.153473 0.070146 -0.023335 -0.018501 -0.056356 0.054434 0.050998 0.177977 -0.042979 0.008979 -0.154983 -0.176477 -0.086179 -0.106865 0.075317 -0.057187 0.072686 0.175618 0.142709 -0.095128 -0.082170 -0.059975 0.052735 -0.125466 0.095066 0.055278 0.169249 0.077309 -0.103339 0.128291 0.040922 0.117979 -0.190666 -0.071405 -0.006227 0.011001 -0.146301 -0.053527 0.219226 0.205125 -0.029851 0.046297 -0.114857 0.056328 -0.037132 -0.060152 0.042629 -0.001688 -0.064555 -0.087363 0.136196 -0.128832 0.011921 0.139472 -0.034222 -0.052847 -0.130443 0.067692 0.001654 0.089621 -0.074694 0.056439 -0.082404 0.014087 -0.223007 0.040027 0.163232 0.120839 -0.057639 0.048039 -0.105321 0.083555 0.052320 -0.016696 -0.046928 -0.001389 0.098226 0.056153 -0.080792 -0.034406 0.015191 0.211425 -0.144211 0.088974 -0.020414 -0.107609 0.219189 -0.002439 0.047471 0.080429 0.112083 0.109554 -0.026288 0.057860 -0.065301
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-letzte 0.130669 0.023872 -0.102454 -0.060583 0.172149 -0.077232 -0.047414 -0.031218 -0.034391 -0.075027 -0.175479 -0.224514 0.000569 -0.044284 -0.150671 -0.100809 0.124100 0.196716 0.118963 0.079725 -0.055050 -0.013535 -0.098435 0.061586 -0.127773 -0.034541 0.045322 -0.335692 -0.009123 0.023602 0.067584 0.023610 0.038213 -0.163609 -0.076444 -0.060881 -0.106000 -0.123266 -0.021279 0.038237 0.048781 -0.067954 0.012629 0.000354 -0.052441 -0.022054 -0.019480 -0.018086 -0.125048 0.138688 -0.133407 0.027045 -0.020005 0.018399 -0.145303 0.175369 0.187948 -0.056465 -0.221468 -0.037292 0.060086 0.018306 -0.105017 0.066956 -0.098714 -0.180814 0.173119 0.059978 -0.022010 0.063566 -0.083127 0.052923 0.027609 0.097784 0.005314 0.172818 0.107188 -0.058103 0.011146 -0.152390 -0.065500 -0.013288 -0.088171 -0.075910 -0.017727 -0.063230 -0.073392 -0.268275 -0.018296 -0.043275 -0.090045 -0.103040 0.013337 -0.078828 -0.082862 0.175158 0.103535 -0.019450 0.110621 -0.053461 0.020656 0.037787 -0.062141 -0.235052 0.130488 0.058365 0.018452 -0.213336 -0.031919 0.055981 0.170157 -0.134176 0.107523 -0.078854 -0.082668 0.157894 0.072495 0.015413 0.090381 -0.042162 0.020734 -0.000858 -0.091113 0.030656 0.057367 -0.053949 0.149924 -0.155540 0.032055 -0.004967 0.007506 0.038875 0.105316 0.081465 0.035973 -0.082361 -0.141807 0.006846 -0.104143 0.087044 -0.043834 0.086240 -0.023313 0.022212 0.065112 -0.066373 0.062981 0.089604 0.122599 -0.093608 -0.028526 -0.056282 -0.083611 0.092509 0.045747 0.066280 0.011521 -0.097296 -0.116984 0.057144 -0.104313 0.177167 -0.047694 0.006052 -0.112193 -0.052117 0.109492 -0.079919 -0.119059 0.182875 -0.198376 -0.100064 0.018648 0.062076 0.058549 -0.032318 -0.052435 -0.030895 0.122380 -0.022787 -0.161004 0.098383 -0.090673 0.042008 -0.086782 -0.074454 -0.045080 0.065034 -0.123266 -0.006150 -0.013028 -0.092634 0.082643 0.018172 -0.124782 -0.032326 -0.058976 -0.162214 -0.019414 -0.064192 -0.153388 -0.006455 -0.006936 -0.088489 -0.007603 0.012987 -0.007858 0.089917 0.098651 0.201635 -0.124434 -0.199191 -0.092807 -0.131945 0.075494 0.071191 0.139020 -0.065372 0.051626 -0.052180 0.074513 0.087950 -0.083089 -0.064770 -0.077290 -0.043283 0.085784 -0.043286 0.030302 -0.009232 -0.027015 0.253678 0.082845 -0.013524 0.013521 -0.122748 0.060541 -0.025893 0.175000 -0.076219 -0.004610 -0.056474 -0.067324 -0.157218 -0.017584 0.077577 -0.175627 0.102494 -0.029420 0.093825 0.019763 -0.130281 0.111029 -0.084299 -0.155015 -0.111818
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-vergangenen 0.018197 -0.028902 -0.021431 0.017703 -0.087895 -0.009570 0.202105 -0.099957 -0.154335 -0.096112 0.119357 0.024519 -0.016140 0.096906 -0.047909 -0.020344 -0.012681 -0.025135 0.031675 -0.034248 -0.284292 -0.213932 -0.072487 0.092465 -0.101178 -0.061554 0.138346 -0.001268 0.098436 -0.127081 -0.007643 -0.112555 -0.264506 -0.070881 -0.109534 0.117776 0.099145 -0.078177 0.061155 0.040569 0.282829 -0.155114 -0.066468 0.134299 -0.103068 0.188180 -0.186597 -0.030937 -0.035056 0.180443 -0.166896 0.051721 0.006374 0.163108 -0.163171 0.014462 -0.025325 0.121666 -0.138839 0.083412 -0.225952 -0.226190 -0.182153 -0.073111 0.031443 0.034846 -0.107949 -0.008041 0.111172 -0.024080 0.006108 0.235757 -0.082295 -0.227021 0.089776 0.042600 0.016959 0.001934 0.138960 -0.234856 0.157345 -0.225677 -0.113945 -0.028364 0.295744 0.105376 -0.094213 -0.145842 -0.085664 0.037445 0.007223 -0.041155 0.007537 -0.071258 0.028185 0.029591 0.200674 0.137117 -0.087017 0.028665 -0.057383 0.075305 -0.073986 -0.009085 -0.161212 0.064459 -0.051313 -0.017582 -0.012210 -0.003384 0.077872 -0.059929 -0.008107 -0.110071 0.018282 0.040971 0.049683 0.103314 -0.016712 0.154247 -0.063320 0.060376 -0.007024 -0.148468 0.099243 -0.163648 -0.012755 0.156424 -0.124277 -0.040339 0.065442 -0.010805 0.110801 -0.140172 0.022568 -0.024158 -0.206770 -0.085018 0.016962 0.007186 -0.073981 -0.059444 0.101741 0.070374 -0.115666 -0.268980 -0.323698 0.061205 0.099048 -0.082596 0.089370 -0.153752 0.029823 -0.150155 -0.074016 0.219641 0.023993 0.120909 0.155001 0.025795 -0.201857 -0.149296 0.024306 0.057691 -0.213813 0.017237 0.041056 -0.095844 0.059095 0.043584 -0.176401 0.048840 -0.071205 -0.179648 -0.040470 0.038484 -0.103378 -0.195955 -0.153999 -0.086672 -0.059628 -0.035665 0.124016 0.050236 0.038896 -0.228341 0.043818 -0.180803 0.158197 -0.028710 0.085854 -0.163059 -0.105120 0.116665 0.075854 -0.067493 0.020742 -0.007735 0.095870 0.016548 -0.134677 0.154399 -0.008328 -0.009423 0.173961 0.057142 0.001756 0.005459 -0.186071 0.020301 0.033125 -0.083186 0.033797 0.074608 0.027373 0.019512 -0.179055 0.174610 -0.140745 0.064165 0.176219 -0.049317 0.033029 0.028317 0.260376 0.023401 -0.062594 0.074488 0.009862 -0.019784 -0.127428 0.149798 -0.175939 -0.018682 0.076069 -0.219303 -0.021179 -0.131221 -0.073021 0.097478 -0.029658 0.106651 -0.221579 0.022210 0.117467 0.251887 0.076252 -0.091374 -0.035282 0.073663 0.004980 -0.120583 -0.143582 -0.062903 0.192077 -0.019077
-verstehen 0.015454 -0.015851 0.003193 -0.029314 -0.075025 -0.099285 0.157038 0.084896 0.008662 -0.084033 -0.036035 -0.149827 -0.061664 0.071710 0.032812 0.031840 0.174287 -0.122664 0.118597 0.106145 0.105514 -0.074506 0.125289 -0.023412 0.039913 0.006339 0.126742 0.030924 -0.082185 0.170792 0.002651 -0.035693 -0.014460 0.043750 0.070942 0.007753 0.033448 0.119748 0.043458 -0.022571 -0.010051 -0.163599 0.087826 0.080295 0.055297 -0.028530 0.024473 0.122927 -0.107276 -0.012600 -0.001660 0.016587 -0.071704 0.104255 0.027313 0.032455 -0.109816 -0.035322 -0.006500 0.079511 -0.008355 0.186633 0.135451 0.071500 -0.183957 -0.017663 -0.046856 0.073853 0.156262 -0.021694 0.063432 -0.134545 -0.030993 0.151939 -0.044587 -0.045395 -0.157247 -0.028266 0.058176 -0.084570 -0.075585 0.116512 0.065325 -0.032389 -0.090765 -0.004156 0.098329 0.040485 0.020785 -0.059859 0.027481 -0.017946 0.011150 0.060281 0.104972 0.041755 -0.067074 -0.072262 -0.073511 -0.047682 0.062154 -0.133498 0.052835 0.016419 0.043920 0.081137 -0.081103 -0.007549 -0.008438 0.030888 -0.029606 -0.074372 -0.008036 -0.059862 -0.174819 -0.005594 0.128659 -0.052580 0.102525 -0.050537 -0.089871 0.105539 -0.082360 -0.075768 -0.140099 -0.073256 0.125322 -0.004280 0.157200 -0.113592 -0.049938 0.143675 0.011229 0.209424 0.054499 0.030811 0.053874 0.026240 0.123986 -0.035127 0.174864 -0.018733 0.053327 -0.031485 -0.084359 -0.098139 0.029224 0.097576 -0.045200 0.060413 0.052215 -0.042533 0.009966 -0.010164 0.074133 0.040735 -0.070678 -0.100065 0.042434 -0.048346 -0.019877 0.071818 -0.038358 -0.071821 0.066599 -0.007083 0.018297 0.027991 -0.008484 -0.034746 0.055061 0.011472 0.099409 0.101013 -0.037413 -0.009672 0.079744 0.036857 0.014723 -0.136019 0.007392 -0.074558 -0.156238 0.103952 0.029253 -0.092853 0.054897 -0.102195 -0.110678 -0.086167 -0.216614 -0.107053 -0.108423 0.023886 0.010828 0.060907 -0.060354 0.092934 0.026421 -0.078294 -0.008692 -0.023948 -0.014218 0.168960 0.076458 0.287523 -0.017131 0.066785 0.018491 0.159039 0.082434 -0.026890 -0.127696 0.088270 0.055883 0.113811 0.049622 0.048210 -0.065701 -0.096164 -0.047269 0.128317 0.137607 0.108816 -0.054391 0.023018 -0.068539 -0.034828 0.080461 0.110640 0.052983 -0.062754 -0.082476 -0.085211 0.103913 0.069012 0.122188 -0.061147 0.034049 -0.091570 -0.036957 -0.102440 -0.151974 0.008034 -0.065042 0.106666 0.055459 -0.121733 0.157414 -0.097189 0.068096 0.120510 -0.063666 0.014401 0.097669 0.142647
-vertreten 0.023944 0.121609 -0.150057 -0.084615 -0.092277 -0.027517 0.002359 -0.144770 -0.236800 0.101036 0.074026 0.114230 -0.036824 -0.036454 -0.239680 -0.085765 0.057318 -0.047357 -0.009719 0.082765 0.068669 -0.035342 -0.076052 -0.111028 -0.006828 -0.026851 -0.020797 -0.092987 -0.112234 0.004313 0.072195 0.110255 0.139481 0.006297 0.140375 -0.041814 -0.014907 -0.071503 -0.052061 -0.009916 -0.037742 0.014826 0.192045 -0.018401 0.129671 -0.049154 -0.002215 0.112585 -0.039339 0.009505 -0.010618 -0.072885 -0.045660 -0.090034 -0.074409 0.027562 -0.140759 -0.071192 0.041435 0.039251 -0.045895 -0.003364 -0.077536 0.212667 -0.042806 -0.042876 0.017346 0.112438 0.028041 0.057530 -0.069369 0.157590 0.109408 -0.060242 -0.122316 -0.080791 0.015052 0.016212 -0.042234 0.101562 0.043800 0.053143 0.223497 -0.033587 -0.078588 -0.085778 0.062426 0.099381 -0.120922 0.087416 -0.043271 0.179352 -0.070102 0.071391 0.025911 -0.026950 -0.002106 -0.003595 0.045976 -0.057117 -0.014307 0.001066 0.092335 0.043897 -0.114955 0.013924 -0.024664 -0.150130 0.016986 -0.006385 -0.010575 -0.058672 -0.108536 -0.039765 0.004387 0.027660 0.195367 0.096636 0.087714 -0.070375 0.100597 -0.064581 0.036068 0.036952 0.091925 -0.078023 -0.131371 -0.024724 -0.092492 -0.081233 -0.080961 0.032130 -0.000725 -0.002397 0.016958 0.123414 0.032616 -0.093911 -0.161210 0.030513 -0.143693 0.027813 -0.010034 -0.012795 -0.129627 -0.092936 -0.106871 -0.054406 0.135250 -0.133849 -0.079592 0.022809 0.063267 0.020920 -0.021225 0.102847 -0.101823 -0.037671 0.081171 -0.061444 0.102292 0.034838 0.023257 0.057067 -0.041502 -0.040360 -0.080825 -0.149477 0.320531 -0.083983 -0.007112 -0.039160 0.116200 -0.046153 -0.018635 -0.038392 0.014652 0.046640 0.042925 -0.082261 0.113622 -0.082900 -0.176074 0.068513 0.030704 -0.014452 0.004736 -0.013461 0.059054 0.061215 0.014056 -0.092555 0.022940 0.004600 -0.037479 -0.065376 0.060532 0.139239 0.009591 0.050947 -0.048091 0.114820 0.052467 -0.137827 0.003422 -0.095454 0.110737 -0.006301 0.123762 0.037619 -0.261203 0.171517 0.077326 0.008052 0.010480 0.071734 0.136077 0.112487 -0.022551 -0.008107 0.110587 0.071008 0.017749 0.108250 -0.141004 0.130847 -0.019898 -0.074782 0.034485 0.018058 -0.063407 0.185864 -0.009126 0.065924 -0.053264 0.039132 0.010781 -0.183132 -0.006991 0.053435 -0.044100 0.161491 -0.144856 -0.038796 0.077266 0.078094 0.059479 0.073630 -0.076426 -0.015388 -0.024489 -0.000500 -0.091846 0.025353 -0.105359 0.058618
-wichtigen 0.035169 0.048107 0.061833 -0.142904 -0.044137 0.020530 -0.196362 0.196945 0.011403 -0.104069 0.020541 -0.071791 0.003614 -0.154131 0.060888 0.107526 0.192572 -0.008064 -0.037486 -0.070204 0.128433 -0.073596 0.094001 -0.188328 0.154265 0.102975 -0.034868 0.140006 -0.079093 -0.109653 -0.053841 -0.097403 -0.008338 -0.093801 0.071527 -0.007200 0.023411 0.008065 0.057621 0.086559 -0.007384 -0.019936 0.139933 -0.014065 -0.028982 -0.047650 0.026809 0.124137 0.039562 -0.001523 0.054831 0.242131 -0.076026 -0.066237 -0.042332 0.048643 0.020302 -0.144175 -0.085138 0.026969 -0.135739 0.005464 0.020506 -0.004520 0.132404 0.027904 -0.016624 0.119594 -0.026126 -0.105543 -0.035559 0.058914 -0.008018 0.047687 0.050326 0.034882 -0.052785 -0.009146 -0.035015 -0.018049 -0.026371 -0.050167 -0.014221 0.060843 0.030896 0.060417 -0.094579 -0.093154 0.025624 -0.032569 0.133191 0.047725 0.113317 0.088547 -0.025072 -0.080237 0.071985 0.066623 0.102109 0.042265 -0.086107 -0.013876 -0.021771 0.053330 0.048666 -0.029187 -0.040279 0.020322 -0.132804 0.059529 -0.166366 0.021118 0.113098 -0.030304 -0.100740 0.043023 0.048795 0.031573 -0.041508 -0.005823 -0.021501 -0.002539 -0.111096 -0.035744 -0.067291 -0.052014 -0.059176 -0.132187 -0.051527 -0.135553 -0.072292 -0.065155 0.123738 0.019531 -0.101647 -0.092901 0.012204 -0.117978 0.203827 -0.011520 -0.030892 0.052750 0.128644 0.018598 0.035400 0.132562 0.061362 0.065502 0.034484 -0.007455 -0.085551 -0.039878 0.027743 0.019403 0.020895 -0.133154 0.005055 -0.232589 0.066357 0.038773 -0.083126 0.052329 -0.057092 -0.055961 0.023461 -0.120301 -0.032130 -0.087743 0.011742 0.178475 -0.079101 -0.025811 0.024646 0.065300 -0.056853 0.037361 -0.097574 0.004736 0.051342 0.069468 -0.013443 -0.034481 0.066269 0.062686 0.031411 -0.054385 -0.017616 -0.034241 -0.126105 0.047335 -0.063751 -0.052694 -0.202012 -0.071413 -0.059161 0.079931 0.032745 -0.074750 -0.126657 -0.064220 -0.070310 -0.013487 0.015969 -0.071602 0.020808 0.054371 0.031025 0.055335 -0.021963 0.079094 -0.012256 0.042369 -0.005032 -0.048257 0.092736 0.119469 0.111282 -0.012676 0.043853 0.000914 -0.209301 -0.108680 0.031172 0.044272 0.003832 -0.060214 0.019033 -0.060992 0.142106 0.099471 0.086802 -0.125740 0.090607 0.052559 -0.014385 0.013271 0.075703 -0.025115 0.063912 -0.043862 -0.039040 -0.029685 0.002343 0.011861 -0.003026 0.001516 -0.048073 0.023910 0.030806 0.093278 0.161752 -0.060378 0.101726 0.075908 -0.077047 0.029940
-überhaupt 0.154076 -0.018501 -0.033311 -0.049278 0.041634 -0.036331 0.027851 0.086057 -0.125532 -0.141102 -0.058933 -0.077322 0.091108 0.083048 -0.162715 -0.086391 0.085307 0.219576 -0.031791 0.082221 0.042493 0.182556 0.225980 -0.087005 -0.040086 -0.033513 -0.002181 -0.109736 -0.049428 0.127171 -0.103165 0.029106 0.153291 0.033236 -0.071913 0.061748 0.122566 0.072939 0.098263 0.147294 0.204815 -0.112107 -0.120980 0.062523 -0.004782 0.011674 -0.003969 -0.058919 -0.084688 0.067317 -0.010813 0.035142 -0.141102 -0.000296 0.028456 0.075466 0.117126 -0.208027 -0.142289 -0.035904 -0.083382 0.051019 0.005027 0.147210 -0.094925 -0.179545 0.133719 -0.061994 0.134904 -0.086910 -0.066362 0.124880 0.010283 0.208751 0.204613 0.036910 0.185608 -0.075206 -0.017960 -0.122973 0.116003 -0.075488 -0.024146 0.074338 -0.003898 0.061675 0.050668 0.113503 -0.067234 0.096300 0.043701 0.066501 0.130503 0.073556 -0.022457 0.008169 0.081724 0.054547 -0.047983 -0.017423 -0.102048 -0.107184 0.036672 -0.201116 0.117152 0.114644 -0.076708 -0.067005 -0.150463 0.099469 -0.017447 0.009176 -0.008834 0.082825 -0.089419 0.147437 0.110024 -0.102477 -0.071141 0.056561 0.152523 -0.028132 0.022992 0.102578 0.051557 0.158184 0.143089 -0.128985 0.050692 -0.062533 -0.154168 0.149390 0.190651 0.136584 0.118852 0.009531 -0.013749 0.173343 -0.108946 -0.130850 0.118409 0.119794 0.152524 -0.020442 -0.138067 -0.065987 -0.029129 -0.142287 -0.103870 -0.014573 -0.157991 0.176421 -0.084157 -0.127667 0.291770 -0.063053 0.009790 -0.154247 0.088713 -0.011787 0.003731 0.074205 -0.098265 0.028718 0.095084 -0.038384 0.232793 0.044540 -0.065846 0.164262 0.059609 -0.072687 0.219443 -0.072144 0.021094 -0.058254 -0.139396 -0.033747 -0.047644 0.012973 -0.026495 0.050469 -0.051725 0.103322 -0.178990 -0.009285 -0.117556 0.297645 -0.096031 -0.106479 0.029382 -0.034499 -0.130944 -0.070701 0.058585 0.102251 -0.175741 -0.011121 0.134698 0.001653 -0.003658 0.071513 0.047368 -0.039232 -0.209225 -0.070582 0.181604 0.039107 0.080506 0.065949 -0.164028 -0.053443 -0.021784 -0.140344 0.114888 0.133085 -0.126520 -0.148926 -0.085312 0.067176 0.112317 0.142809 -0.092616 0.001610 0.146504 -0.149904 0.081877 -0.017343 0.209818 0.115145 0.074236 0.036692 -0.110829 -0.052102 0.169743 0.084422 0.073257 -0.060696 -0.029681 0.095271 0.092865 -0.026245 -0.018766 -0.083508 -0.027235 0.061110 -0.056359 -0.113005 0.088569 -0.105646 -0.043438 0.006100 0.058086 -0.180447 -0.222578 0.019618
-überzeugt 0.030109 0.014040 0.159491 0.078723 0.040761 -0.081261 -0.086225 -0.040771 0.058305 0.155494 -0.026868 0.116418 -0.055518 -0.076372 -0.011718 -0.020622 0.000569 0.116263 -0.079880 -0.017087 -0.040619 0.064472 -0.058683 0.162634 -0.019421 0.084024 0.007127 -0.149791 -0.080844 -0.057309 0.038336 -0.070734 0.141845 -0.027674 0.076472 0.083871 -0.040971 -0.197762 0.102743 0.074984 0.061502 0.194404 0.041334 -0.035647 0.009009 -0.009587 0.166223 -0.078138 -0.154321 -0.134593 -0.046144 -0.063810 -0.058002 0.017197 0.034500 0.004217 0.059371 0.069059 -0.060926 -0.052287 0.099203 0.087507 0.049190 0.233095 -0.047465 0.006885 0.196983 -0.056783 -0.191386 0.001097 -0.030353 0.101043 -0.015935 -0.022090 -0.116590 0.142247 -0.039832 -0.055807 0.012307 0.127451 0.000764 0.001947 0.088979 -0.166136 0.015401 0.119565 0.086228 -0.115013 -0.132608 0.155109 -0.069788 -0.136110 0.059274 -0.026465 -0.150381 0.071213 -0.107919 -0.055560 -0.011236 0.051638 0.191136 0.129179 0.046790 -0.019154 -0.071428 0.030050 -0.028108 -0.105329 0.036924 -0.110850 -0.173014 -0.083870 -0.005617 -0.051024 0.077096 0.090757 -0.076954 0.081604 -0.042500 -0.016779 0.047751 -0.036609 -0.004999 -0.176566 -0.033759 0.124241 -0.052970 0.111787 -0.173346 0.031662 -0.092594 -0.049014 0.093792 0.025402 0.071705 -0.143949 -0.081617 0.047482 -0.149166 0.119984 -0.140835 0.041093 -0.146724 0.061572 0.142352 0.114516 0.003831 -0.033796 -0.027924 -0.093791 0.061134 -0.020146 -0.080379 -0.049993 -0.065900 0.077127 -0.086678 0.022061 -0.017691 0.052984 0.023143 0.021796 -0.188858 0.019768 -0.034730 -0.000698 -0.021966 -0.036438 -0.090724 -0.030682 0.082106 0.119803 -0.143179 0.005950 -0.029040 0.172673 -0.059914 -0.074586 0.109068 0.054318 -0.129348 -0.111369 0.001667 -0.052933 0.000514 -0.002052 -0.086414 0.009367 -0.034547 0.032653 -0.066072 0.024551 -0.052480 0.013143 -0.182365 0.000979 0.175758 -0.022780 0.153950 -0.050320 0.126357 -0.021245 -0.081113 -0.075454 0.000513 -0.175913 0.046347 -0.052574 0.068565 -0.065108 -0.104852 0.106305 -0.029975 0.072823 0.082100 -0.094776 -0.057917 -0.140582 0.025998 0.109212 0.005387 0.164898 -0.029396 -0.060408 -0.069894 0.028518 -0.136713 -0.031502 -0.079565 -0.106034 -0.037844 0.013325 -0.036758 -0.047157 -0.173679 0.131024 -0.171398 -0.069414 -0.070565 -0.050638 -0.100448 -0.020290 0.070405 0.057282 -0.110162 0.036020 -0.167059 0.049562 -0.013189 0.031571 0.090534 -0.024575 0.060996 0.024521 -0.176265 -0.040178
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-Erklärung 0.033326 -0.054615 0.045130 0.064036 0.093933 -0.037902 -0.083261 -0.032266 -0.034084 -0.103712 -0.004310 0.027382 -0.000454 0.051582 -0.109119 0.049371 -0.141867 -0.014956 0.057921 -0.023401 0.142208 0.098646 -0.014504 0.076861 -0.028680 -0.009402 -0.121607 -0.112771 0.018636 -0.127503 -0.030191 -0.024908 0.165222 0.099370 0.096930 0.051964 0.090892 -0.040052 0.127221 0.041680 -0.062444 0.051844 0.189242 -0.022470 0.026628 0.050431 -0.033207 0.001439 -0.138243 0.071780 0.012570 0.094640 -0.108620 -0.120909 0.010316 0.107630 0.138714 -0.140498 0.001131 -0.051530 -0.046533 0.002113 -0.098673 -0.083733 0.145404 0.060990 -0.075315 -0.149456 -0.026529 -0.042613 -0.085688 0.021515 -0.078271 -0.022214 -0.067005 -0.005697 0.019665 -0.096349 -0.008450 0.087137 -0.015203 -0.128780 -0.148044 -0.016781 0.105222 0.011374 0.090240 0.087882 -0.000807 0.039873 -0.141698 0.139459 0.178300 0.152944 -0.108940 -0.188552 0.046446 0.149761 0.159126 0.030115 0.023612 0.160917 -0.046678 -0.042174 -0.107895 -0.061599 -0.057751 -0.171048 -0.088430 0.035449 0.081590 -0.122183 0.147756 0.027100 -0.056733 0.065190 0.057507 0.139360 -0.088257 -0.050301 0.206748 0.025602 0.054325 -0.041952 -0.041888 0.121575 0.117578 -0.092475 -0.097006 -0.093618 -0.105245 0.062759 -0.119057 -0.028703 -0.027619 0.009865 0.095075 0.038483 0.002402 -0.022678 -0.040827 0.046922 0.099953 -0.044770 0.097969 -0.039875 0.022023 -0.076132 0.170319 -0.060866 0.084220 0.002763 -0.016187 0.040494 0.031864 -0.065298 0.031255 -0.068513 -0.059537 0.016155 -0.019891 0.014188 -0.148582 0.098300 -0.093078 -0.022699 -0.005505 0.025515 0.001111 0.042787 -0.048613 -0.076672 -0.020492 -0.157097 -0.135530 0.015967 -0.130799 0.095510 0.119436 0.026980 -0.070609 -0.062940 0.083383 -0.129935 -0.049691 0.156279 -0.109267 0.066902 0.059387 0.024078 0.078648 0.050255 -0.027748 0.095535 -0.061438 0.033667 0.082663 0.017963 -0.114934 0.130057 0.100461 0.009841 -0.025216 0.028543 0.002196 -0.043035 0.004630 0.025931 0.036029 -0.016783 -0.069200 -0.005263 0.002259 -0.125376 0.008674 -0.076836 -0.146371 -0.172052 0.032448 0.017245 -0.066251 -0.019866 -0.196796 -0.027450 0.029712 -0.005351 0.068523 0.050807 -0.205510 -0.009723 -0.021890 0.073067 0.089260 0.023663 -0.045154 -0.043264 0.089161 0.044502 0.046004 -0.091484 -0.048756 0.119821 0.043912 -0.119726 -0.129619 -0.049992 0.072103 -0.008755 0.043853 0.093052 -0.040079 0.065457 -0.040442 0.104428 -0.078445 0.101359
-Fehler 0.115785 0.019320 0.106849 0.059001 0.173775 -0.082934 -0.008495 -0.047644 -0.168936 0.025249 0.065127 -0.214313 0.141034 0.071872 -0.156519 -0.088803 0.140101 0.137423 0.079969 0.160321 -0.067777 0.223214 -0.086528 -0.048645 -0.166596 -0.017572 0.090622 -0.010570 -0.084407 0.251943 0.088044 0.211376 0.014933 0.068466 -0.015908 -0.007716 0.061315 0.036226 0.156695 0.099628 -0.044958 0.173151 -0.039043 0.087099 -0.030871 -0.139173 -0.097484 -0.057807 0.005443 0.165401 -0.064832 0.141833 -0.080987 0.055433 -0.071223 0.143183 -0.072244 -0.008904 -0.090277 0.175699 0.121883 -0.020456 -0.020715 0.201346 -0.199374 -0.094008 0.003962 -0.017793 0.031757 0.016214 -0.030507 0.070568 0.088977 -0.009573 0.101312 0.011870 0.031075 -0.111936 -0.006709 -0.062634 0.022395 -0.158890 0.057497 0.104774 -0.004231 0.107205 0.131551 0.075178 -0.243234 0.026453 -0.109898 0.093630 0.042455 -0.000982 -0.087279 0.041493 0.111323 0.040751 -0.031843 -0.249917 0.068764 0.103595 0.121661 -0.085210 -0.099034 0.021101 0.151772 -0.097216 -0.098760 0.116597 0.034574 0.082119 0.003995 0.090710 -0.140630 -0.008382 -0.027421 -0.106303 0.027000 0.016394 -0.100661 0.068896 -0.102095 -0.023238 0.083520 0.064255 0.169162 -0.172225 -0.097745 0.045984 -0.035139 0.094492 -0.044630 0.165626 -0.031296 -0.042011 -0.064873 0.144993 -0.025546 0.004109 0.009761 0.168553 0.310445 0.043972 -0.148380 -0.000413 -0.133466 -0.003660 0.017751 0.058690 -0.063602 0.169155 -0.063236 -0.071961 0.260544 -0.045489 0.153302 -0.063526 -0.038325 0.103556 0.013891 0.195525 -0.109135 0.212649 -0.159009 0.002878 0.122672 -0.227275 0.197329 0.024950 0.008289 0.099654 0.182733 -0.130141 -0.155912 -0.011888 -0.007167 -0.208750 0.184832 0.147265 -0.072379 0.065466 0.039426 -0.062583 -0.105323 -0.030944 0.184924 0.205285 -0.007678 0.073373 -0.125870 -0.068321 0.053839 -0.017433 0.055243 -0.071786 -0.110490 0.075631 0.105960 -0.077072 -0.070298 0.143223 0.181555 -0.005273 0.039848 0.221213 0.293258 0.091434 0.156936 -0.096822 0.002095 -0.005596 -0.130416 -0.081715 0.041349 0.133468 -0.035121 0.020966 -0.052144 0.068264 -0.028874 0.144539 -0.044301 -0.226933 -0.012409 -0.030445 0.221772 0.167550 0.107211 0.048632 -0.039303 0.090153 -0.119221 -0.075591 -0.029800 -0.074616 0.088433 -0.002389 0.052482 0.217298 -0.094713 -0.051916 0.147892 -0.170978 0.000606 -0.189227 0.026471 -0.020440 -0.138742 -0.097351 -0.238997 0.147495 0.008917 -0.200900 -0.128396 -0.104160
-Forderungen -0.041137 -0.082222 0.180545 -0.026291 -0.029811 -0.063999 0.101004 0.115065 0.068454 -0.021698 0.034330 0.082088 -0.062224 -0.060384 -0.011574 -0.029139 0.106634 0.103876 -0.078175 -0.008142 -0.052219 0.070236 -0.005409 0.076148 0.001925 0.016280 0.065539 0.114166 0.009772 -0.033903 -0.115119 -0.091842 -0.156570 0.003742 0.066413 0.070153 0.091803 -0.098584 0.191066 0.171805 -0.023158 -0.103657 0.063188 0.106124 0.129626 -0.113104 0.070372 -0.038728 -0.107203 -0.067574 -0.098376 0.088320 -0.131384 -0.044450 -0.000948 -0.079246 0.156467 0.009625 0.046356 0.047716 -0.062798 0.090737 -0.140184 -0.128787 0.158421 0.008114 -0.012979 0.002185 0.236005 0.141171 -0.077036 0.108046 -0.058710 0.038306 0.025945 -0.102540 -0.027412 -0.107828 0.066874 -0.024699 -0.007753 -0.058371 -0.099273 0.077070 0.021458 -0.039864 0.004587 -0.025217 0.043415 0.128028 0.034146 0.031681 0.102856 -0.025353 -0.105468 0.043836 0.129455 0.068632 0.141223 -0.145819 -0.035838 0.066267 0.008935 0.074620 -0.190288 0.006760 -0.038291 -0.046246 -0.151753 0.129433 0.197926 0.060838 -0.010272 -0.040748 -0.019961 0.040110 -0.221688 -0.012772 0.046574 0.069390 0.127242 0.004743 0.005176 0.113647 -0.003140 0.104907 -0.030301 -0.129696 -0.050857 -0.142042 -0.042576 0.135989 0.085330 -0.066540 -0.030049 0.041932 -0.058558 -0.093863 -0.086068 -0.024240 0.119078 0.007585 -0.064579 0.094141 -0.162145 0.069550 -0.063811 0.001558 0.166744 -0.071473 -0.110648 -0.029708 0.121159 -0.036229 -0.029655 0.034253 -0.176300 -0.134913 0.015107 0.010565 -0.072356 0.080699 -0.159955 0.171383 -0.140346 -0.010099 0.212676 -0.038403 0.005089 0.080227 -0.012737 0.119626 0.076179 -0.103689 -0.150713 -0.101151 -0.026430 -0.016242 0.091137 -0.033190 -0.152789 -0.050077 0.013340 0.088699 -0.055610 -0.020709 0.196142 -0.038531 -0.066348 -0.069916 0.124823 0.039413 -0.105137 0.024507 -0.117472 0.003999 -0.128904 0.033691 -0.132236 -0.037234 -0.083878 -0.061888 -0.072063 0.122731 0.092303 0.131684 0.097741 0.107957 -0.049997 -0.082496 -0.029925 0.134915 -0.019273 -0.040417 -0.035528 0.216270 -0.179102 0.021003 -0.051730 0.051044 -0.014276 -0.044870 -0.049965 -0.040882 -0.035982 -0.067242 -0.015937 0.151952 -0.038192 0.043535 0.093045 0.112161 -0.104962 0.112111 0.034065 -0.039871 0.257232 -0.085251 0.068970 0.046172 -0.030369 0.046844 0.070369 -0.099618 0.123686 -0.073151 -0.080303 0.020059 0.047940 0.026057 -0.023260 0.041277 -0.194950 -0.004515 -0.027394 0.056382
-Gipfel 0.044284 -0.180600 0.130326 -0.169000 0.055653 0.020527 0.036131 0.062504 -0.060144 0.053971 -0.025441 -0.009343 0.093060 -0.014378 -0.022911 0.067860 0.103140 0.207098 0.018706 -0.057818 -0.102668 0.034665 -0.008050 -0.085032 -0.161287 0.005623 0.040812 -0.076974 -0.064904 0.128865 -0.026630 0.092332 0.074441 0.028695 0.081275 -0.052837 0.018799 -0.049382 0.132834 0.138069 0.101843 0.014020 -0.005415 0.145330 0.134703 0.118493 -0.027140 0.062505 -0.092106 0.106178 0.007401 0.032588 -0.075677 -0.078832 0.035376 0.057525 -0.013785 -0.008034 -0.026982 -0.087964 -0.074509 0.018347 -0.030524 -0.006432 -0.041283 -0.124236 0.026095 -0.069472 0.193357 -0.050779 -0.175888 0.134376 -0.023946 0.121105 -0.155054 -0.034054 0.248935 -0.026202 0.147169 -0.075207 -0.000613 -0.048794 0.054210 0.003325 -0.077588 0.079685 -0.145255 -0.055433 0.050760 0.060466 -0.080070 0.057332 -0.045639 0.107769 0.028898 -0.085956 0.109308 -0.003907 0.072684 -0.035599 -0.017000 0.059443 0.000299 -0.124017 -0.077722 0.050232 0.044171 -0.014215 -0.147327 0.019757 0.227289 -0.152545 -0.001801 -0.048958 -0.049734 0.054682 0.035628 -0.139104 0.058097 0.036228 0.179927 0.143185 -0.034121 -0.149780 0.168636 0.013877 -0.000203 0.113625 -0.001454 0.001907 -0.129976 0.046814 -0.080306 0.102029 0.082571 -0.019001 -0.189771 0.157574 -0.051610 0.033379 0.041215 0.022397 -0.048008 0.112891 0.010134 -0.157503 -0.062633 -0.112776 0.145216 -0.164354 -0.094310 -0.009844 0.091784 -0.025581 0.344645 0.249275 0.001920 -0.087077 -0.020565 0.165367 -0.174313 0.162239 -0.061983 0.100568 0.036365 -0.038151 0.116709 -0.179795 0.144958 0.188335 -0.194423 -0.033060 0.126004 -0.022790 -0.086262 -0.042410 -0.259346 -0.125145 0.160680 -0.061781 -0.115517 0.055901 -0.067651 0.045461 -0.015183 0.141803 0.121800 0.036404 0.020692 -0.128965 -0.144932 -0.109756 0.071091 -0.212642 0.010144 0.025058 -0.067292 0.045993 0.162722 -0.027642 -0.074448 0.004006 0.002784 0.051906 0.076878 0.060813 0.044424 0.019423 -0.081975 0.119752 -0.037633 -0.047486 0.078667 -0.166813 0.093992 -0.015840 -0.192669 -0.092298 -0.101119 0.108751 0.117634 -0.024374 -0.067218 0.042296 0.085975 -0.240202 0.208200 0.160357 0.005187 0.048415 -0.016594 0.186931 -0.099290 0.022240 -0.014821 -0.042908 0.095856 0.016547 0.074668 0.173626 -0.077462 0.081756 -0.119707 -0.200779 0.045483 -0.062746 -0.109669 0.030456 -0.072456 -0.014716 -0.185626 -0.017945 -0.002991 -0.150178 -0.008599 -0.121587
-Haltung 0.199774 -0.097797 -0.036655 -0.045899 0.135979 -0.044591 -0.012159 -0.017931 -0.162266 0.011397 0.092099 -0.016153 -0.238323 0.068047 -0.031657 0.113825 -0.067908 0.043790 -0.104340 0.117060 0.130647 -0.024730 0.087875 0.052366 0.129040 -0.274013 0.117309 0.041704 -0.033772 -0.132606 0.157906 0.058271 0.063591 0.021333 -0.028571 -0.030363 -0.002534 0.046688 0.062032 -0.016408 -0.010429 -0.021035 0.146823 -0.028737 -0.141597 -0.033863 -0.029320 0.025137 0.001709 0.061826 0.010699 0.052558 0.077221 -0.101909 -0.152673 0.186861 -0.073268 -0.072244 -0.106099 -0.041891 -0.052365 0.068380 -0.153104 0.161952 0.060861 0.060232 0.025981 0.009352 0.046557 -0.000914 0.141107 0.081655 0.233513 -0.037935 -0.027580 -0.056203 0.048111 0.014672 0.054220 0.005818 -0.032447 -0.082622 0.141986 -0.023056 -0.038142 0.225235 0.045710 0.039901 -0.193156 -0.067929 -0.093077 0.174069 -0.112315 0.123807 0.084838 0.050736 0.061349 0.154460 0.105486 -0.073499 0.025505 0.083211 0.011775 0.175156 -0.206315 0.080240 -0.032658 0.012569 -0.002394 -0.079144 0.069304 -0.071312 -0.010463 -0.117822 -0.020943 0.047539 -0.011722 -0.012765 0.072633 0.132145 -0.012191 -0.022255 -0.043814 0.059564 -0.019413 0.000549 -0.032171 0.061823 -0.140157 -0.084399 0.041355 0.115579 -0.049545 0.032181 0.040721 -0.019972 -0.040643 -0.072289 -0.180229 -0.064294 -0.037075 0.022868 0.004826 -0.033987 0.030396 -0.200755 -0.099604 -0.126890 0.065555 -0.103050 -0.014805 -0.051585 0.061266 0.012883 -0.035280 0.002824 0.052156 0.117769 0.085319 -0.022490 0.014869 0.056616 -0.161855 0.078388 -0.103430 -0.106058 -0.071309 -0.096559 0.112775 0.118637 0.093137 -0.158301 0.114097 -0.131046 -0.189631 -0.068974 -0.147607 0.046668 0.043303 0.009154 -0.069279 -0.146630 -0.034023 0.137807 -0.013552 0.065410 -0.064722 0.004773 0.070604 0.078308 0.053580 0.042695 -0.090025 -0.043248 0.038701 0.159271 0.069619 -0.051531 0.189465 0.143845 -0.094432 0.121087 -0.006707 -0.032352 0.051706 -0.086312 0.085394 0.039183 0.169948 0.040666 -0.168705 0.138819 0.047905 0.010358 0.102066 -0.110210 -0.007004 -0.074307 -0.126605 0.028290 0.148696 0.113421 0.124869 -0.029156 -0.078770 -0.059774 0.001615 0.074886 -0.044569 0.015918 0.044607 0.205654 0.083248 -0.182763 0.009780 0.044058 0.044324 -0.008878 0.015553 -0.102006 0.091853 -0.017348 -0.000483 -0.034100 -0.043768 -0.017530 -0.006786 0.153721 -0.031203 -0.109726 0.132382 0.077682 -0.151571 0.023243 0.014967 0.055083
-Ihres -0.059556 -0.040445 0.110055 -0.158990 0.122108 0.040390 -0.121557 -0.018256 -0.010816 0.059381 -0.103942 0.121904 0.006347 -0.141036 -0.012335 0.001045 -0.025912 0.027378 0.039449 0.101998 0.142276 0.030554 0.071073 -0.019714 -0.136896 0.127365 0.096543 0.025068 -0.009409 -0.055119 -0.113386 -0.058925 0.000709 0.074869 -0.022672 -0.090299 0.126105 0.028004 -0.079927 0.023169 0.054790 -0.030093 0.035732 0.011420 -0.030996 0.004977 0.102431 -0.082800 -0.062847 -0.071657 -0.072447 -0.012287 -0.020438 -0.027538 -0.015361 0.067203 0.082808 -0.180639 -0.043228 0.058191 -0.090899 0.080259 -0.063858 0.109046 0.002724 0.025649 0.122069 0.028113 0.021397 0.089724 0.039338 0.071731 0.051501 -0.019034 0.083697 -0.113279 0.032082 0.053472 0.037438 0.063640 -0.058544 0.057353 0.079218 -0.020208 -0.074092 -0.050723 -0.020036 -0.037127 -0.129841 -0.003833 0.126223 -0.045433 -0.027928 0.078983 0.009533 0.109989 -0.207361 -0.001968 0.087850 -0.112375 -0.048467 0.053221 0.125539 0.054207 -0.081591 0.077739 -0.091043 -0.097897 -0.045348 0.030080 -0.047446 0.030583 -0.040192 -0.057770 0.040497 -0.000988 -0.061087 0.059169 -0.078771 0.096468 0.028990 -0.043569 -0.062651 -0.015129 0.042168 0.127487 -0.057391 -0.089790 0.113176 0.008878 0.010679 0.021156 0.115635 -0.111084 0.119931 -0.060225 -0.037748 0.078571 -0.090437 -0.092901 -0.086017 0.104393 -0.023566 0.141525 -0.073904 -0.012219 0.036816 -0.017818 -0.115192 -0.009320 0.021026 -0.103045 -0.116606 0.171035 -0.016091 0.063120 -0.040476 -0.071030 0.060607 0.042820 -0.064621 0.027374 -0.116856 -0.039878 -0.076649 0.007966 0.010822 0.169204 0.022575 0.113602 0.191721 0.023063 0.021670 -0.055897 0.008000 -0.060211 -0.214697 0.129686 0.112304 0.021019 0.173988 -0.095772 -0.102281 0.113056 -0.154708 -0.026578 0.090328 -0.089318 0.062600 0.009502 -0.045732 0.054821 -0.107871 0.057944 0.068388 0.200209 0.020834 0.015905 0.115285 0.065540 0.025509 -0.000635 -0.011147 -0.044800 -0.109848 0.022661 0.055262 -0.040946 0.039160 -0.078135 0.021496 0.061726 -0.060993 -0.126864 -0.030297 0.183258 0.086149 -0.077523 0.041352 -0.020030 -0.116304 0.056552 -0.003619 -0.009939 -0.058992 -0.000790 0.141335 0.080033 0.118636 -0.096697 0.038714 0.155054 0.071835 0.128960 -0.082832 0.106794 -0.067128 0.046791 -0.064107 0.038896 0.147505 -0.044922 0.002225 -0.010666 0.076644 -0.127842 0.045017 0.072289 -0.046556 0.168422 0.066755 -0.111143 -0.102042 -0.047288 -0.148433 -0.039222
-Natur -0.172548 0.140067 -0.076460 -0.046090 0.023059 0.137248 0.164245 0.158855 -0.000588 -0.103144 0.067092 -0.152564 0.131507 0.099439 -0.024935 0.086865 0.139588 -0.055501 -0.043143 0.115004 -0.133822 -0.138256 0.107557 -0.201996 0.157045 0.056556 -0.000298 -0.200724 -0.149480 -0.059096 -0.007487 -0.033245 0.010660 -0.249217 -0.115863 0.020773 -0.092098 0.120634 -0.109216 -0.071883 -0.035441 -0.281183 -0.017803 0.129184 0.050729 0.064257 -0.020115 0.156227 -0.062083 0.145731 0.180825 0.137791 -0.025311 0.248133 -0.062071 -0.092686 -0.036365 0.132365 0.017163 0.080414 -0.002900 -0.031160 0.039095 -0.030657 0.017401 0.046917 -0.101247 0.074747 0.072814 -0.082002 0.052737 0.006422 -0.099562 -0.128387 0.040258 -0.025202 -0.082716 0.134406 0.179107 0.096174 0.049822 -0.023719 -0.234370 -0.111480 0.156068 0.021594 0.071096 0.025651 0.214614 -0.022961 0.177944 -0.080837 -0.092961 -0.006804 -0.019387 -0.032329 0.102259 0.000823 -0.100836 -0.013317 0.043819 -0.050158 -0.135170 0.105937 0.156849 0.049352 -0.108257 0.152143 0.308141 -0.028208 0.117691 0.057749 0.032220 0.093417 0.014528 -0.012580 0.026663 0.113860 -0.138412 0.117774 -0.045265 -0.001827 -0.143621 -0.143273 -0.107578 0.071268 0.127970 0.068112 0.125233 -0.101946 -0.021374 0.050132 0.037519 -0.025181 -0.057981 0.039023 -0.117639 -0.058844 0.065365 0.032763 0.092767 -0.050537 0.009836 -0.032037 -0.054518 -0.002047 -0.125924 -0.087404 -0.035531 0.058967 0.099371 0.185623 0.034443 -0.035090 -0.168732 0.055006 0.054941 0.035713 -0.018770 -0.028736 0.042625 0.005663 -0.071890 -0.197345 0.072803 -0.070554 -0.083357 0.020141 0.010895 0.079713 -0.079859 0.076152 -0.059279 0.088945 0.012223 0.146216 -0.044000 0.008579 -0.107042 0.024299 -0.021058 0.077340 -0.055610 0.138297 0.008374 -0.009549 -0.091632 -0.163773 -0.025039 0.046098 0.017570 -0.171534 -0.041284 0.019635 0.098254 0.046706 -0.014620 0.050523 -0.100792 -0.233180 0.113999 0.067652 0.018561 0.027728 0.081122 0.158365 -0.007333 0.278817 -0.168284 0.103391 -0.115188 -0.003278 0.093476 0.083826 0.047956 0.024679 -0.093958 0.016152 -0.045141 -0.090732 -0.065836 -0.082419 0.058259 0.270805 0.024273 -0.092807 0.034427 -0.031835 0.003698 0.194787 -0.112205 -0.012806 -0.018681 0.024008 0.180646 -0.018791 0.025847 0.083362 0.013424 -0.076716 0.051534 0.002860 -0.164421 -0.016109 0.141693 0.191502 0.016251 -0.069908 0.033670 -0.075225 0.077687 -0.142180 -0.106390 0.176406 0.040456 -0.129950
-Nicht 0.146439 -0.218550 0.002585 0.119887 0.170055 -0.163959 -0.073099 0.027569 0.043747 -0.087824 0.011878 -0.109153 -0.190936 -0.039997 0.031229 -0.096452 -0.005493 0.133614 0.054028 0.094064 0.030380 0.148895 -0.085274 -0.087803 -0.084890 -0.189440 0.035019 0.087107 -0.041605 0.013787 0.106169 0.127915 -0.011143 0.146095 0.033865 0.035652 -0.022121 0.074135 -0.009281 0.048007 -0.120034 -0.040624 0.072919 -0.040765 -0.040372 -0.070995 -0.005742 -0.092706 -0.208554 0.184440 -0.195043 0.035945 -0.047396 -0.007597 -0.034155 0.022821 -0.027489 -0.090281 -0.169099 0.124213 0.073809 0.098141 0.066864 0.032668 -0.138308 0.083922 0.071680 -0.094433 -0.013419 -0.175481 -0.023685 -0.048328 0.028436 0.060882 -0.097460 0.131408 0.048710 -0.124507 0.070025 -0.068283 -0.102000 -0.092282 0.106890 0.136314 -0.061627 0.119966 -0.131989 0.015342 -0.010821 -0.017850 -0.187154 0.020176 0.201543 -0.055435 0.039135 0.148588 -0.018465 0.056361 0.148746 -0.111025 0.122063 0.111146 0.137592 -0.027964 -0.177612 0.164184 0.088719 -0.262278 -0.031223 0.137232 -0.096145 -0.021470 -0.024591 -0.171411 -0.081196 0.044041 -0.136373 -0.161036 0.134285 0.147473 -0.005367 -0.033135 -0.142486 -0.033428 0.064139 0.035316 -0.062930 -0.084501 0.004450 -0.040279 0.136051 0.070713 0.022591 0.136548 0.069913 -0.116748 -0.068425 0.106005 -0.005481 -0.180483 0.258307 0.034238 -0.015778 0.030571 0.006855 -0.063854 -0.111304 -0.039777 -0.046615 -0.117364 -0.107156 -0.052218 0.101473 -0.017376 0.043605 -0.134407 0.208522 -0.178814 -0.169282 0.125419 -0.106189 0.018046 -0.029139 0.216585 0.029350 0.128568 0.096486 -0.036464 0.148308 0.122525 0.080008 0.105937 0.166144 -0.023069 -0.024444 -0.181262 -0.182820 -0.053742 -0.092604 0.076037 0.057091 -0.105922 0.028804 -0.052690 -0.053889 -0.062122 0.172979 0.070926 -0.045032 -0.028816 -0.001437 -0.005601 0.055354 0.137616 0.025175 0.085540 0.012095 -0.062553 0.102428 0.063756 -0.101668 -0.091975 0.066882 -0.122020 -0.173728 0.092441 0.091585 -0.121822 0.131855 0.151541 0.004504 -0.148460 -0.265989 -0.180410 0.137573 0.120628 -0.100747 0.089871 -0.169789 0.043265 0.048005 0.159805 -0.024208 -0.048096 -0.034186 -0.018442 0.156040 -0.074936 0.186747 0.066218 0.055759 0.167584 -0.031319 -0.141280 0.063506 0.054319 -0.033374 0.081992 0.133561 0.201730 0.089814 0.056645 0.046818 -0.031310 -0.049670 -0.061217 0.020626 -0.049079 -0.176989 -0.147680 -0.063938 0.021585 -0.113016 -0.042755 -0.166824 -0.121049
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-Preise 0.132937 -0.019173 -0.030117 -0.041448 -0.020258 -0.088192 -0.092844 0.126789 0.092820 -0.003796 -0.132357 -0.153325 0.005873 -0.098285 -0.020733 -0.008609 0.233451 -0.085514 0.087415 0.159000 0.202359 -0.030174 0.122656 -0.203948 -0.059030 0.050481 0.057930 -0.008433 -0.269362 0.031296 0.079353 0.152934 0.001550 0.233309 0.002027 -0.045902 -0.040900 0.243740 -0.022876 0.016665 -0.033666 -0.066216 -0.074811 0.081566 -0.050588 -0.076239 -0.070536 0.036114 0.022984 0.032544 0.031610 -0.018277 -0.036639 0.070981 -0.054577 0.110421 0.001506 -0.119843 0.011309 0.067794 -0.020962 0.186482 0.036092 -0.013490 -0.070787 -0.189495 0.094205 -0.058295 0.045741 0.017612 -0.099857 0.022630 0.043518 0.008063 -0.005087 0.169154 0.052520 -0.009449 -0.079299 -0.015737 0.004903 0.137926 0.206432 0.020215 -0.201021 -0.020745 0.080269 0.151453 -0.054150 -0.045759 0.004474 0.004085 0.171047 0.203431 0.066923 0.061845 -0.035605 0.099489 0.053794 -0.083757 0.103916 -0.013813 0.066920 -0.105773 -0.072129 0.178530 -0.049123 -0.031899 0.000820 -0.085035 -0.138901 0.078407 0.158722 -0.110568 -0.198430 -0.074760 0.022450 -0.137759 0.099828 -0.004670 -0.022973 -0.070556 -0.036744 0.070786 0.012020 0.085262 0.092114 -0.101852 0.119290 -0.028248 -0.145129 0.082175 -0.035447 0.019752 0.114382 -0.091664 0.060160 0.017483 0.105642 -0.069098 0.237630 -0.051531 0.089003 0.155925 0.017618 -0.084549 0.169882 0.009744 -0.084552 0.003928 -0.046032 -0.015575 -0.045385 0.105466 0.030338 -0.197802 0.179356 -0.126098 0.180424 0.070819 0.074573 0.171664 -0.137121 -0.053424 0.093755 -0.007587 0.066525 -0.017394 0.149759 0.073722 0.028934 0.093369 0.177003 0.075619 0.069123 -0.170341 -0.052679 0.024305 -0.078152 0.001627 -0.017054 -0.030600 0.090845 -0.111542 -0.069266 0.089613 -0.055023 -0.057522 -0.180676 0.031225 -0.131158 -0.062061 -0.030010 0.077690 -0.014029 0.042623 -0.002383 0.084040 0.018266 0.001158 -0.025942 -0.024795 -0.006900 -0.089285 -0.025139 0.073515 0.091410 0.043658 0.054768 0.028268 -0.005783 0.054463 -0.166309 -0.085667 -0.003475 -0.027095 0.088050 -0.080578 -0.064256 0.063036 -0.001161 0.100411 -0.000329 -0.056443 -0.220931 -0.063111 -0.059842 0.016838 0.236551 -0.043307 0.090336 0.099665 -0.069644 -0.046930 0.153808 0.079934 0.097019 0.028712 0.085958 -0.066457 0.129855 -0.076010 -0.042619 0.001355 0.048222 0.025044 0.087880 0.152461 -0.037662 -0.002167 -0.044263 0.010811 -0.080034 -0.063868 -0.040525 0.048059
-Prozess -0.112265 0.101620 0.007573 0.028212 -0.058917 -0.051364 0.028775 0.009241 0.076962 -0.032837 -0.112632 0.024344 -0.022811 0.091237 -0.114098 0.114930 0.065220 -0.042322 -0.073891 -0.097830 -0.139172 -0.011510 -0.039020 0.028009 0.059849 -0.009423 -0.095919 -0.052848 0.085195 0.027895 -0.023684 0.092194 -0.108490 0.047796 0.011287 -0.134384 0.084082 0.022526 -0.130194 -0.021252 -0.107515 0.071017 -0.149462 0.057592 -0.023020 0.055828 -0.103277 0.220560 0.085272 -0.117190 0.116804 0.171341 0.020035 0.040607 0.132813 -0.087764 -0.142823 -0.101486 0.111433 -0.035455 0.071218 -0.031351 0.041477 -0.128272 0.169846 0.086347 -0.096923 -0.053836 -0.055930 -0.070636 0.034165 -0.176658 -0.018443 0.018248 0.048108 -0.042545 -0.126372 -0.018727 0.109841 0.000559 0.069055 0.077717 -0.107083 0.133085 -0.004278 -0.172114 0.128493 -0.001833 -0.010385 0.014240 0.035778 -0.012177 -0.086716 -0.137397 -0.029680 -0.189823 -0.070558 0.004601 -0.119249 -0.030349 -0.123274 -0.128565 0.035446 -0.006787 0.007703 -0.135442 0.027806 0.176822 -0.000535 0.029813 0.021854 0.112350 0.120191 0.237227 0.127591 0.054947 -0.083597 0.043094 -0.194115 0.169111 -0.198469 0.004726 -0.139227 0.092749 0.053664 -0.123024 0.077221 -0.000558 0.005327 0.164193 -0.029469 -0.097277 -0.182260 0.057605 -0.007780 -0.037369 0.088068 -0.000328 0.006552 -0.039494 -0.158350 -0.136225 0.061777 -0.046641 0.217120 0.029654 0.067817 0.050584 0.057909 0.251579 0.011923 -0.029771 -0.031786 0.005579 -0.009508 0.201612 -0.111970 0.056881 0.095400 0.120088 0.105051 0.034029 0.023447 -0.020020 0.057559 0.003368 0.029389 0.062962 -0.066931 0.041777 0.107215 0.001733 -0.048723 -0.038952 -0.052368 0.073779 0.092399 0.045232 0.118793 -0.031201 -0.020333 -0.031505 0.023807 -0.178080 0.065069 0.108573 0.026775 0.014602 0.152416 -0.152031 -0.193325 0.055524 0.008744 0.012013 0.017073 -0.007261 0.060968 0.090176 0.032192 -0.040426 -0.013995 -0.053501 -0.062024 0.097980 0.149263 -0.051103 -0.038767 0.067890 0.004038 -0.056649 0.048577 0.026050 0.048670 -0.039548 0.075979 -0.033205 -0.011761 -0.068646 -0.116620 -0.120101 0.057258 -0.138359 -0.114224 0.102322 -0.012972 -0.022734 -0.125876 0.007669 -0.145222 0.018211 0.038065 -0.061297 -0.027351 -0.046902 0.005355 0.121762 0.005075 -0.163743 -0.112413 -0.019869 -0.000494 0.028920 -0.050063 -0.083389 0.027015 0.112363 0.208539 -0.037853 -0.025465 0.039706 -0.026048 0.025356 0.061210 0.050935 -0.009643 0.147803
-Schwierigkeiten -0.019706 0.256342 0.123093 0.087300 -0.015913 -0.089147 -0.226020 -0.184618 0.063346 0.162445 -0.098581 0.105223 -0.041088 -0.149183 0.143963 0.100424 -0.141929 0.050575 0.000546 0.048095 0.077123 0.055284 0.026230 -0.076232 -0.079482 0.099578 0.106351 0.075665 0.117659 -0.107274 0.046182 -0.061921 0.012261 0.062082 -0.220220 -0.131012 -0.057817 -0.118829 -0.129490 -0.167240 -0.023433 0.252750 -0.035197 -0.073201 0.203963 0.168806 0.106660 -0.145506 0.138639 -0.255394 -0.016457 0.197267 -0.004594 -0.157450 0.155944 -0.005930 -0.020415 0.111375 0.180858 0.053360 -0.008191 0.010684 0.038970 0.075418 0.220683 0.037573 0.009156 0.117062 -0.216385 0.003201 -0.023018 -0.149125 0.058447 -0.032882 -0.077440 -0.246684 0.035511 0.017340 -0.162400 0.075964 0.063383 0.172725 0.038215 0.092847 0.040796 -0.277245 -0.152507 0.134561 0.101843 -0.106810 0.126040 0.094559 0.141672 -0.074927 -0.065301 0.117755 -0.062749 -0.281919 -0.000609 0.212431 0.165853 0.069340 -0.162109 0.101004 0.173329 -0.032532 0.002660 0.038311 -0.027706 0.023386 -0.113435 -0.118475 0.044535 -0.008428 0.136960 -0.142229 0.080764 0.047824 0.005690 0.026338 0.115733 -0.093042 -0.033768 -0.105710 -0.081564 -0.120987 -0.063652 -0.042757 0.000069 0.035535 0.039712 -0.149457 -0.276856 -0.232527 -0.147546 0.003019 0.134129 -0.030318 -0.018194 0.073895 -0.082356 0.145721 0.091789 -0.067592 -0.103992 0.110769 0.022449 -0.108906 -0.058018 0.003983 0.203324 -0.133594 -0.062323 0.174164 -0.176580 0.169648 -0.121365 0.033618 -0.033601 -0.029556 0.033123 0.014394 0.198434 -0.004539 -0.035853 0.074032 -0.151354 0.189387 -0.104281 -0.017989 0.108454 -0.093564 -0.018136 0.065706 0.177805 -0.001711 0.032596 0.005024 -0.143003 -0.042772 0.115216 0.132567 -0.137000 -0.107944 -0.038197 0.233456 -0.146351 -0.039561 0.169463 0.241111 0.024947 0.054220 0.209446 0.014736 0.001522 0.086466 -0.030287 0.059216 0.044956 -0.016185 0.027291 0.113132 0.202868 0.213118 -0.065122 -0.008986 -0.160682 -0.097146 0.177278 -0.048443 0.167208 -0.064395 0.246586 0.044043 -0.064201 0.086053 0.115927 -0.081062 0.037968 -0.011260 -0.275066 -0.080446 0.033485 -0.063346 -0.050722 0.041295 -0.030337 -0.130313 -0.099427 -0.291848 -0.127078 0.088914 0.074790 0.154766 -0.019020 0.144851 -0.077004 0.116157 -0.120675 0.036270 0.130922 -0.114619 -0.064374 0.118908 -0.003408 -0.176883 -0.042056 -0.058720 0.041269 0.128581 0.023092 -0.094658 0.220798 -0.163743 0.058370 0.141374
-Sinne 0.107045 0.030579 0.199909 0.062814 0.148905 -0.201036 0.051973 0.038862 0.160578 -0.083928 -0.013671 -0.120317 0.059753 -0.079741 -0.023002 0.050025 -0.061079 0.076088 -0.054139 0.266840 0.057069 -0.060603 0.054396 -0.048777 -0.129140 0.023040 -0.188059 -0.005953 0.005655 -0.066824 0.057650 0.103800 -0.043974 -0.101127 -0.039824 -0.061819 0.070016 0.101285 0.122773 0.009170 -0.047475 0.089111 -0.004492 0.088796 -0.024162 0.048503 0.101040 0.049117 -0.002962 0.064452 -0.004113 0.065480 -0.156252 0.058753 -0.113478 -0.015885 0.011845 -0.069170 -0.120474 0.039928 -0.048555 0.075224 -0.124959 0.113151 0.021593 -0.014854 0.082407 0.064919 0.175140 0.023892 -0.120867 0.027842 0.039063 0.119631 -0.051960 -0.033076 0.050970 0.072650 -0.007993 0.008949 0.011798 0.073744 0.001330 0.109858 0.020970 0.081552 -0.080222 -0.005499 0.025443 0.062148 -0.087513 0.041232 0.079746 0.134709 0.036250 0.057161 0.069271 0.179611 0.082005 -0.041476 -0.047650 0.069243 0.069663 0.031510 -0.105162 0.089635 0.110881 -0.182117 -0.026040 0.078785 0.131652 0.023178 -0.072475 -0.151505 -0.023053 -0.012274 -0.103165 -0.083344 0.017068 0.027547 -0.021267 0.086606 -0.092693 -0.093912 0.118071 0.089090 0.086919 0.028206 0.120383 -0.026557 0.016041 0.052595 0.100502 -0.007364 0.054189 0.019084 0.112367 0.122497 0.086044 -0.005158 0.152788 0.086910 0.137477 0.217302 -0.034538 -0.020611 0.055544 -0.090394 -0.111669 -0.106697 -0.000114 0.088607 -0.106077 0.022157 0.056381 0.002840 0.094442 -0.160360 0.059540 0.156395 -0.116715 0.107162 -0.059432 -0.165275 0.044819 0.119056 0.059677 -0.095989 0.071149 -0.040689 0.058678 0.070479 0.072466 -0.068633 0.027633 -0.108402 -0.016060 0.086776 0.148113 0.031767 -0.032402 0.116014 -0.023976 0.100662 -0.111752 0.033088 0.005216 -0.050487 -0.100594 0.038230 -0.044782 -0.093949 -0.221278 0.130048 0.035039 0.197990 -0.130568 -0.000073 0.082668 0.071005 -0.085737 0.055732 0.074635 -0.221077 -0.220618 0.064500 0.188873 0.003129 0.012486 0.084544 -0.000613 0.010575 -0.019896 -0.277548 0.059423 0.267965 -0.101155 0.034914 0.015214 -0.121791 0.014364 0.093065 -0.070341 0.076686 0.077435 -0.126521 0.155881 -0.077250 0.056784 0.034173 -0.210616 0.198912 -0.157747 0.102169 0.109524 0.041599 0.168703 0.007476 -0.022669 0.188686 0.166582 0.087255 -0.052464 -0.094062 0.153392 -0.045163 -0.031921 0.000442 0.000013 -0.089672 0.040361 -0.008051 0.020662 -0.109290 -0.121499 0.020942
-Stabilität -0.037947 0.240165 -0.092125 0.141568 0.138026 0.136446 -0.026231 0.016056 -0.037332 0.056595 -0.032067 0.120916 -0.039941 -0.252073 0.012529 0.073233 -0.111615 -0.127188 0.021638 0.088624 -0.004412 -0.054078 -0.016822 0.148209 0.015946 -0.122161 0.006907 -0.017682 -0.046720 0.014564 0.087999 0.064056 -0.096682 -0.088175 -0.116043 0.078614 -0.047511 -0.052692 0.059290 0.060843 0.215136 0.071606 -0.074373 -0.165607 0.180565 -0.072536 0.049389 0.012502 0.098124 -0.068557 0.109474 0.101741 -0.030460 -0.006736 0.013472 -0.053202 -0.037553 0.016242 -0.026133 -0.104766 0.208191 -0.052840 -0.096259 0.211834 0.072351 0.032812 -0.035374 0.154345 -0.134948 -0.022663 0.065265 -0.034723 0.033137 -0.132483 -0.042506 -0.090552 0.048514 -0.039580 -0.174354 0.042163 0.041047 -0.068348 0.007401 -0.099346 0.005593 -0.035265 0.058907 0.014777 0.068747 -0.054401 0.081534 0.025734 -0.056584 -0.053660 -0.110858 0.147496 0.155052 0.067305 -0.005596 0.129990 -0.025053 -0.034088 -0.088662 0.036374 -0.041990 -0.053639 -0.152859 0.165646 -0.029127 -0.095937 0.023001 0.012203 0.024821 -0.082479 0.098329 -0.188483 -0.038089 0.041892 0.075420 0.031838 -0.156977 0.024620 0.016635 -0.074520 -0.187979 -0.061516 -0.047503 -0.086996 0.066291 -0.052081 -0.154311 0.011259 0.009723 0.028798 0.026737 -0.049248 0.100484 -0.048280 -0.028143 0.097299 -0.012704 0.002427 -0.117781 -0.060861 0.053232 -0.036995 -0.051312 0.105146 -0.020437 0.156178 0.111360 0.017410 0.012751 0.041255 -0.141730 -0.025971 -0.067889 0.096783 0.005934 0.011244 0.082180 0.008478 -0.186538 0.044571 0.045761 -0.085089 -0.058005 0.051053 -0.163918 0.053828 0.063291 0.189448 0.027755 0.056783 0.016285 0.120797 -0.076048 -0.026042 -0.016262 0.054266 -0.223128 -0.054885 -0.003360 0.115003 0.023039 0.070439 -0.144008 0.075083 0.100101 0.078381 -0.063710 0.098763 -0.142201 -0.056664 0.051189 0.206194 0.036746 -0.012952 -0.016419 -0.042288 0.065999 0.162347 -0.073839 0.132708 0.042886 -0.120193 0.141542 -0.018670 0.005186 -0.052872 0.092410 -0.159968 0.023683 0.099593 0.002867 0.056967 0.151584 0.059311 0.046385 0.105685 -0.039290 -0.004071 -0.011635 0.028893 -0.044174 0.112105 -0.016527 -0.026652 -0.066166 0.047309 -0.084299 -0.129596 0.082539 0.040406 -0.194343 0.043596 0.031974 -0.171199 -0.197244 -0.165855 -0.055662 -0.089379 -0.070090 -0.062981 -0.119919 0.076783 0.030873 -0.191523 -0.037355 -0.071908 0.071032 -0.030949 -0.023622 -0.022801 0.050580 0.125638
-Tagesordnung 0.066598 -0.082458 -0.105186 0.080530 -0.098402 0.035339 -0.058297 0.196984 0.080476 -0.013675 0.013402 -0.097885 0.023210 0.059529 -0.000564 0.001150 -0.190362 0.179195 0.028489 -0.027120 -0.059595 -0.033729 0.084984 0.037509 -0.065231 -0.085099 -0.110997 0.079421 0.016222 0.005369 0.086066 0.114997 0.010524 0.062036 -0.000681 0.185673 0.163331 0.119453 0.069136 -0.011331 0.016119 -0.045463 -0.033918 -0.074784 0.003583 0.004626 -0.114914 -0.047760 -0.040115 0.082145 0.007719 0.005948 0.025473 -0.056661 0.007550 -0.040280 -0.153098 -0.034598 0.048946 0.018635 0.053764 0.019328 -0.054458 -0.018661 -0.160009 -0.055549 0.094424 -0.021210 0.079270 -0.000296 0.016154 0.071454 0.012820 0.029040 0.041599 0.052117 0.020389 0.013892 -0.089495 -0.044655 -0.091161 -0.009780 0.060435 0.150113 0.038472 0.007031 -0.104956 -0.094519 -0.133913 0.078128 -0.049803 -0.051302 0.060961 -0.120173 0.014991 0.118612 0.078250 0.054615 0.090450 -0.159144 -0.013725 -0.086245 0.011835 -0.004227 0.124820 0.114688 0.121595 -0.060131 -0.083387 -0.074699 0.046363 0.111894 -0.022422 -0.033083 -0.124811 -0.020661 0.032427 -0.201189 0.017442 0.067868 -0.124884 0.090430 -0.048392 -0.022717 -0.058462 0.000811 -0.046494 -0.121979 0.002596 0.026215 0.060925 -0.014302 -0.079806 0.122036 0.161560 -0.178991 -0.053161 0.156940 0.056094 -0.026573 -0.018819 0.013765 0.016427 0.135804 0.069333 -0.052221 -0.132400 0.108282 -0.001668 0.035847 0.012837 -0.009465 -0.101733 0.018350 -0.037671 -0.054720 -0.046119 -0.044411 -0.095928 -0.133671 -0.125233 0.048761 -0.109041 0.168033 -0.118478 -0.045217 0.108050 0.050649 0.023740 -0.031856 -0.050165 0.100957 0.094939 -0.017047 0.014362 -0.004892 -0.020096 -0.078731 -0.148162 -0.021283 -0.112509 -0.086258 -0.046341 -0.006799 -0.064187 -0.018320 0.054213 0.023500 -0.045770 0.048609 -0.035363 -0.007579 0.044678 -0.045845 -0.096431 -0.002920 -0.035836 -0.147532 -0.018017 -0.020760 0.009014 0.076685 0.083421 -0.083355 0.014809 0.006041 0.055278 -0.068661 -0.062179 0.080592 0.122445 0.055760 -0.219066 0.088169 -0.041733 0.060754 0.000595 0.032764 -0.134872 0.044988 0.149862 -0.031046 -0.182522 -0.096284 -0.087044 0.007214 -0.153215 0.115862 0.122858 0.089426 0.054842 -0.128038 -0.083297 -0.154988 0.018439 -0.057979 -0.120582 -0.024860 -0.026778 0.001923 0.042433 0.059623 0.048869 0.057482 -0.069486 -0.072203 -0.108508 0.009360 -0.034883 -0.001156 -0.012213 -0.015796 0.043666 -0.081256 0.023476 0.043746
-bevor -0.004775 0.113027 0.050730 0.032770 0.080026 0.093296 0.073926 0.107066 -0.022241 0.039081 0.079427 -0.043234 0.012292 -0.164678 0.041377 0.055007 0.128650 -0.257530 0.033730 0.043504 -0.149742 -0.075490 0.010750 0.081621 0.062701 0.062236 -0.054500 0.035725 0.113552 -0.011110 0.122212 -0.160039 -0.160257 -0.086993 -0.080247 -0.051096 0.052203 0.063917 -0.037138 -0.093209 0.055098 0.095374 -0.072141 -0.002024 -0.087674 -0.020349 0.094310 -0.018636 -0.016712 -0.161030 0.098572 -0.152951 0.119109 0.159618 -0.162933 -0.105642 -0.011946 -0.028849 -0.102884 -0.108625 0.190779 -0.035518 0.007057 0.089836 -0.123202 0.004497 0.013080 0.245380 -0.123127 -0.078412 0.071747 0.021187 0.181172 -0.008017 -0.102521 -0.226002 -0.062461 0.110458 -0.127734 -0.110887 0.044845 0.040411 0.019325 -0.095424 0.092614 0.120958 -0.034205 -0.028894 -0.044282 -0.155578 0.198357 -0.166223 -0.094255 0.065151 0.017621 0.008518 -0.049759 0.030391 0.086386 0.008980 -0.034570 -0.118597 -0.097468 0.132848 0.177076 -0.011537 -0.154854 0.043090 0.024752 -0.096242 -0.104230 0.128900 -0.105464 0.107865 0.034954 -0.108722 -0.184048 0.004628 0.120871 -0.186384 -0.032969 0.027844 0.031201 -0.003195 -0.203551 -0.081426 -0.175167 -0.031303 -0.072409 0.067778 0.107031 0.127499 0.207471 0.034449 0.130809 -0.097229 -0.056640 -0.128579 -0.017072 -0.112889 -0.029083 -0.043550 0.014405 -0.061997 0.158712 -0.052871 0.006852 -0.069403 -0.103721 0.065786 0.022153 -0.134679 -0.083376 -0.085686 -0.040055 -0.115771 0.065945 0.097523 0.090531 -0.106540 0.118842 -0.064090 0.048950 -0.115704 0.188153 0.111627 -0.229510 0.041130 0.000684 -0.014392 0.091175 -0.006476 -0.044216 0.030167 0.081019 0.015055 0.053596 0.049598 -0.159699 0.163096 0.076932 -0.088082 -0.062273 0.062831 0.097146 -0.108166 -0.052049 0.080027 -0.136494 -0.019520 -0.006770 0.139290 0.047436 -0.061409 -0.007201 0.013560 0.087720 -0.165674 0.027886 0.069616 0.052755 -0.040813 0.104279 -0.021049 -0.081756 -0.023730 -0.178947 -0.029067 -0.191984 0.096873 0.241886 0.035895 0.037864 0.226853 -0.002658 -0.083562 0.114628 -0.043605 0.036796 -0.066728 0.112905 0.008312 0.211538 -0.074795 -0.061840 0.215486 -0.001755 -0.164465 0.084058 -0.073477 -0.027591 -0.063097 0.104700 0.060276 -0.068424 0.113846 0.005705 0.155760 -0.039477 -0.129988 0.235518 -0.133502 0.073498 -0.079516 -0.030842 -0.106059 0.019462 -0.238829 0.055832 -0.026489 0.033091 -0.000911 0.132462 0.013078 0.157175 0.101050
-bezüglich -0.082109 0.126706 0.114494 -0.078428 -0.125070 0.122520 -0.026861 0.141291 0.182427 -0.081111 0.116104 -0.139499 0.091181 0.006370 0.091288 0.158516 0.045421 -0.132627 0.094076 -0.116572 -0.153326 -0.072437 0.070819 0.027656 -0.030419 0.093555 0.019461 0.066384 0.107215 -0.056984 -0.120028 -0.005495 -0.121602 -0.018482 0.018631 0.148540 0.187549 0.000642 0.002855 -0.021703 -0.177863 -0.046021 -0.140189 -0.106241 0.035673 0.028260 -0.100426 -0.011998 -0.009970 -0.065120 0.125136 -0.070752 0.115762 0.126414 -0.036588 -0.057217 -0.018894 0.034957 0.109937 0.106181 -0.004698 -0.021041 0.001209 0.002828 0.066641 0.122578 -0.048478 0.078825 0.058589 -0.019835 0.166286 -0.127595 -0.068876 -0.032212 0.081601 0.021013 -0.066240 0.045326 0.090447 -0.091581 0.004980 0.012230 -0.073760 -0.073597 0.048507 -0.093723 -0.093371 0.045788 0.025008 0.028695 0.046349 0.001021 -0.139897 -0.073500 0.084108 0.011486 0.153397 -0.057609 0.014622 0.009140 -0.144962 -0.038172 -0.139571 0.122295 0.151793 0.164755 -0.074355 0.192949 -0.011545 0.023735 0.009448 -0.031576 -0.167272 0.123047 -0.027483 -0.124574 -0.089201 -0.185207 -0.159981 0.127903 -0.131366 0.173183 -0.024967 -0.103475 -0.160012 -0.141029 -0.101790 -0.021618 0.095156 -0.006475 -0.075663 0.049583 0.064146 -0.165228 -0.090251 0.014237 0.009361 0.078317 0.198225 -0.042915 0.023757 -0.058912 -0.020802 -0.185781 -0.040474 0.061678 0.075980 0.062348 -0.021288 0.053058 -0.025901 0.074481 -0.135265 -0.102545 0.012215 0.056919 0.068682 0.174451 0.010447 -0.123579 -0.107057 -0.085191 -0.045908 -0.095538 0.010935 0.071035 -0.103840 -0.056542 -0.137928 -0.075956 -0.070383 -0.071336 0.094952 0.107996 0.040678 -0.111681 -0.004627 0.012254 -0.079890 -0.066192 0.109366 -0.097070 0.001705 -0.071316 0.079475 -0.106664 -0.156133 -0.012879 -0.077024 -0.003785 -0.101169 -0.041370 0.137389 -0.064906 0.156164 -0.167809 -0.040681 -0.141461 0.057556 -0.098294 0.064728 0.066681 -0.016446 -0.092690 0.105070 -0.017143 0.013707 -0.102339 -0.102471 0.004142 0.142065 -0.097606 -0.175888 0.060400 -0.049573 0.096509 -0.033623 0.081979 -0.071270 -0.188998 0.084871 -0.105203 0.000039 0.047328 0.038860 -0.061166 -0.064510 0.010906 0.190849 0.053422 0.034313 0.018530 -0.094656 -0.000942 0.007420 0.072491 -0.039860 -0.097805 -0.068074 -0.073071 -0.039110 -0.016011 -0.109935 0.010837 0.121149 0.081247 -0.029327 -0.127756 -0.005006 -0.132390 0.106857 0.056582 0.035694 -0.028062 0.148988 -0.022704
-d 0.085819 -0.023956 0.163441 0.034277 0.010377 -0.018055 0.016984 0.119378 -0.068343 -0.062205 -0.082562 0.001595 -0.113352 -0.053355 0.024297 -0.052883 -0.000888 0.089758 -0.067290 -0.048002 0.003574 0.039314 0.166808 -0.063089 -0.165753 -0.047181 0.023795 0.041190 0.088347 0.023311 -0.104923 0.076329 -0.027917 -0.171722 -0.102870 -0.117477 -0.050877 0.081885 -0.017642 0.077906 -0.070253 0.005520 -0.035204 -0.000847 0.011059 0.091357 0.014655 -0.091187 -0.085330 0.129251 0.022269 0.105902 -0.038315 0.165444 0.035304 -0.013107 0.007755 -0.040964 0.003635 0.176470 -0.109336 0.116331 -0.108858 0.083104 -0.170653 -0.093163 0.019021 -0.115453 0.135524 -0.061500 -0.133306 0.009753 0.173618 0.080148 0.059866 0.146404 0.024618 0.106416 0.102818 0.017644 -0.041134 0.068498 0.064951 0.147060 -0.081281 0.115339 -0.061527 0.010572 -0.047393 -0.031520 -0.035717 0.008456 0.122367 0.132854 0.062270 0.027682 0.012462 -0.021003 0.125889 -0.028815 0.098772 -0.030996 0.041367 -0.136874 0.072667 0.138830 -0.011448 0.043735 -0.033527 0.155453 0.015546 0.109425 -0.029758 -0.062957 -0.131342 0.039460 0.117468 -0.130275 0.038011 -0.041909 0.042346 0.116764 -0.068941 -0.059034 0.112202 0.119879 -0.049391 -0.123216 0.020382 0.001155 0.017727 -0.015767 0.121323 -0.037790 0.160620 0.054453 0.011863 0.041895 -0.138979 -0.125345 -0.002591 -0.025455 -0.012023 0.068899 -0.019058 0.078245 0.024134 -0.154323 -0.022432 -0.059954 0.028603 0.092509 -0.170245 0.048966 0.035561 -0.127768 0.047258 -0.186605 -0.047282 0.101416 -0.051716 -0.039365 0.041303 -0.032906 -0.022507 0.100158 0.050807 0.071556 -0.038958 0.014461 -0.197642 0.018813 0.149800 0.032985 0.000906 -0.041429 -0.174177 -0.002153 0.002637 0.104885 -0.036611 0.099940 0.053042 0.063447 -0.065282 0.044363 0.126507 0.058135 -0.118445 -0.038419 -0.019198 0.007577 0.030349 -0.050138 0.048309 -0.047524 -0.087577 -0.087730 0.066587 0.087006 0.042429 0.056134 0.065773 -0.097006 -0.085752 -0.044370 -0.025106 0.019587 -0.023593 0.164341 0.061451 -0.049932 0.016207 0.013973 -0.044493 0.015834 -0.079957 -0.050860 -0.067760 0.010845 0.058932 -0.036889 -0.026264 -0.073843 0.044208 -0.025884 -0.024147 -0.058995 0.001866 -0.044831 0.126908 0.150379 -0.023730 0.011947 -0.080299 -0.080100 -0.116683 -0.003186 0.090680 0.180070 0.091322 0.017250 -0.002854 -0.101195 -0.091645 -0.187576 0.045363 0.114068 -0.118280 0.108259 0.006077 0.068196 0.064143 -0.143862 -0.014308 -0.017553
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-unterschiedlichen -0.104129 0.035990 -0.052227 -0.074496 0.099054 0.055021 0.050345 0.135563 -0.088550 0.068479 -0.121373 0.025895 0.053158 0.112915 -0.105926 0.128687 -0.091376 0.046751 0.112668 -0.048712 0.153724 -0.051209 0.008921 -0.114941 -0.072691 0.097340 0.245386 0.021456 -0.086573 0.112990 -0.068568 0.032238 0.025982 -0.010958 0.164398 0.099859 0.175500 -0.005687 0.083829 -0.063909 0.035792 -0.079272 0.001279 -0.021276 0.126961 -0.060220 0.147345 -0.038985 0.114223 0.052435 0.018343 -0.009858 0.025685 -0.210094 -0.046547 0.184583 -0.066497 -0.150391 -0.086210 -0.039852 -0.158330 0.177899 -0.013322 0.030964 -0.228350 -0.056107 0.023147 0.025725 -0.007629 0.066024 0.077141 0.034049 -0.007819 0.119448 0.027745 0.006941 -0.111202 0.092923 -0.027176 -0.087224 0.009383 -0.063442 0.102856 -0.028680 -0.009160 0.039903 0.035691 0.064555 -0.094121 -0.071597 -0.052154 0.056578 0.011117 0.000577 -0.008827 0.111016 0.003498 0.075359 0.014269 -0.013797 -0.021599 0.002623 0.033533 -0.021546 0.023924 -0.023044 0.095229 -0.029359 -0.195605 0.116586 -0.116766 -0.172464 -0.016593 -0.020753 0.041527 0.051091 0.024012 0.007311 0.069987 -0.042562 0.009560 0.146483 -0.041509 -0.036382 0.016088 0.086475 -0.004987 -0.052795 -0.089096 0.009247 -0.035024 0.062839 0.151399 -0.003153 0.038687 0.006176 0.031148 -0.104354 0.044161 -0.145864 0.046202 0.023848 -0.056559 0.061248 -0.181589 0.033892 0.160237 -0.003929 -0.012916 -0.127507 0.152088 -0.119065 -0.102782 -0.013897 0.134434 0.013747 0.096119 -0.137723 0.065433 -0.052077 -0.138095 0.100988 -0.058827 0.129131 0.015114 0.075707 -0.041379 -0.066434 0.074819 0.106974 0.133338 0.041175 0.039261 -0.056498 -0.096827 0.066094 -0.211466 0.127366 0.046104 0.070112 -0.075228 0.018272 -0.215194 -0.090281 -0.041876 0.004874 -0.005785 -0.059913 -0.013859 0.049236 0.014108 0.044263 -0.099237 0.085506 -0.098561 -0.001163 0.074336 0.045330 0.120766 0.021779 0.126617 0.091500 0.042740 0.024355 -0.059548 0.005790 0.108773 0.028362 -0.052803 -0.075520 0.086525 -0.067252 0.077304 -0.190889 0.012511 -0.046455 0.075848 0.012373 0.117205 -0.047852 -0.039808 0.012230 -0.018838 -0.124856 -0.114217 -0.110708 0.052432 -0.014515 0.021315 0.031158 0.101271 0.037787 0.030053 -0.050528 -0.047392 -0.019163 -0.000867 -0.013039 0.072826 -0.050994 0.018585 0.035499 -0.060338 0.048913 0.078068 0.007709 0.100830 -0.041605 -0.126278 0.023956 0.052013 0.066958 -0.012203 -0.100409 -0.035169 -0.059072
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-wählen 0.029007 0.088693 0.125506 -0.063241 0.055294 -0.096681 -0.199702 0.135562 0.057010 -0.054964 -0.034290 -0.156773 0.062582 -0.016332 -0.192186 0.120398 0.070002 -0.111953 0.162001 0.184031 -0.072887 0.185194 -0.138977 0.076002 -0.130343 0.027382 -0.065398 -0.131870 0.056695 0.107660 -0.039671 0.196259 -0.165535 0.027739 -0.057859 0.060092 0.061642 -0.103098 -0.058398 0.033171 -0.059259 0.032280 -0.031513 -0.075846 -0.145580 -0.036753 0.154051 -0.073814 0.035786 0.082119 0.025396 -0.016410 -0.111364 0.103321 0.049362 0.104342 0.165379 -0.095418 -0.157709 -0.042669 0.044942 0.177589 -0.051295 -0.108471 0.022476 -0.091849 0.024360 0.111582 0.203854 0.083314 -0.177338 0.135764 -0.046640 0.167708 0.105528 -0.043147 0.023930 -0.155750 0.070546 -0.113915 -0.140314 -0.001497 -0.026273 0.175942 -0.020625 -0.060023 -0.019839 0.048283 0.053173 0.029144 -0.009506 -0.029180 0.049138 0.029374 0.031897 0.006440 0.077935 -0.031057 -0.026177 -0.143227 -0.003460 0.042990 -0.036861 -0.188614 0.021736 0.072323 -0.042275 -0.183953 -0.084018 -0.012179 0.125598 -0.002704 0.117475 -0.063389 0.037451 0.100466 0.036452 -0.131195 0.126349 -0.081683 0.129895 0.098241 -0.004473 -0.131617 0.045198 -0.005080 -0.026688 -0.037618 0.027792 0.222062 -0.131957 0.050680 0.199971 -0.033376 -0.001680 -0.034534 -0.125031 0.174372 0.021928 -0.060859 0.074291 0.008719 0.036445 0.025517 -0.104091 0.145331 0.101659 0.022902 0.070767 -0.082902 0.079954 0.159559 -0.101044 -0.054942 0.152567 -0.071929 -0.039177 -0.130915 0.107150 0.149730 0.002616 0.095490 -0.024729 0.131637 -0.052610 0.118849 0.004166 -0.104509 0.153417 0.019951 -0.077300 -0.134385 0.247161 -0.150729 0.022109 -0.201824 0.011197 -0.103643 0.107866 -0.013672 -0.111948 0.118289 -0.011060 -0.026233 -0.047492 -0.050848 -0.046937 0.002863 -0.057942 0.095854 -0.026241 -0.071457 -0.131362 -0.091338 0.112846 0.132279 -0.107665 -0.149042 0.081812 0.045779 0.045705 -0.020167 -0.032928 0.169905 -0.084492 0.072376 0.018324 0.012668 -0.062077 0.036627 -0.047970 0.138641 -0.113795 -0.230242 -0.085960 0.016463 0.049510 0.041562 0.085158 -0.066903 0.109360 0.025080 -0.037930 -0.047181 0.081140 -0.094127 0.130801 0.038731 0.011000 -0.059958 -0.059541 0.182329 0.017541 -0.030642 -0.030844 -0.001988 0.237471 -0.010152 0.066805 0.068994 -0.007142 -0.064397 -0.076357 -0.155950 0.017554 0.016185 0.046649 0.028820 -0.037144 -0.085237 0.007154 -0.014825 0.020411 -0.167796 -0.012692 -0.098608
-zehn 0.160575 -0.019672 0.034192 0.103096 0.143596 -0.021324 -0.053793 -0.041814 -0.041455 0.119430 -0.105844 -0.072359 -0.001905 0.110988 -0.218825 -0.116738 -0.079657 0.049214 0.012813 0.085343 0.092512 -0.018273 0.124761 0.204741 -0.065392 0.072111 -0.009651 -0.063801 -0.020064 0.099820 0.180895 0.067864 0.131309 -0.030378 -0.085530 -0.071548 -0.083513 0.100372 -0.088113 -0.015822 0.093431 0.045154 -0.112963 -0.079730 -0.011913 -0.012060 -0.135957 0.009408 -0.033698 0.102647 0.067752 -0.079538 -0.055576 -0.125755 -0.029810 0.060004 0.108481 0.030663 -0.004523 0.048153 0.009534 0.082568 0.049439 0.136283 -0.114998 -0.110671 -0.102382 0.066635 -0.109918 -0.136451 -0.098674 0.111585 0.029868 0.083852 0.190751 0.169678 -0.036342 -0.126449 -0.006797 0.011915 0.178584 -0.072148 -0.084093 0.041794 -0.075763 -0.145415 0.016168 0.022282 0.014724 0.039822 -0.072737 -0.008839 0.017759 -0.081665 -0.019803 0.016261 -0.030242 -0.155175 0.009744 -0.069196 0.084884 0.020957 0.119673 -0.184407 0.023741 -0.132619 0.035855 -0.129796 0.030971 0.160112 -0.046292 -0.027491 -0.200381 0.020843 0.044881 0.020197 0.065201 -0.064496 0.100759 0.016650 0.057134 -0.134079 0.007582 -0.031431 0.046243 0.203798 0.151204 -0.067450 0.035524 -0.116208 0.096593 0.024164 0.080332 -0.015755 0.148812 0.083946 0.111585 -0.118361 -0.116905 0.125280 0.123453 0.173213 -0.066384 -0.060707 -0.122788 0.006467 -0.037051 -0.072064 -0.046801 0.098643 -0.014112 -0.027194 -0.110499 -0.063240 -0.029715 -0.159963 -0.071003 -0.052858 -0.172069 0.000894 -0.003976 -0.130425 -0.089161 0.053756 -0.012182 -0.216065 0.084815 0.198159 0.053032 -0.074525 -0.123902 0.044528 0.070768 -0.074330 -0.089276 0.011386 -0.018361 0.001902 -0.025017 0.053618 -0.129040 0.102176 -0.017336 0.077332 -0.181818 -0.018282 -0.134104 0.223687 0.077306 -0.008302 0.108866 -0.005223 -0.014093 0.207873 -0.079729 0.190032 0.105490 -0.095135 -0.072393 -0.015465 0.117155 0.034167 0.066765 -0.085598 -0.148168 -0.104201 -0.077088 0.037600 0.055496 -0.102242 -0.041308 -0.083029 0.066150 -0.072284 0.129311 0.058918 0.070408 -0.044892 0.089909 0.125892 -0.191978 0.090041 -0.114777 0.120230 -0.010341 -0.145688 0.002661 0.044858 -0.123222 -0.089677 0.029591 0.002313 -0.002603 0.180121 -0.164124 -0.001713 -0.040608 0.036988 0.016713 0.002135 0.015113 0.006697 0.067767 -0.003222 -0.087322 -0.140846 -0.035289 0.116174 -0.076062 -0.049612 -0.090308 0.009884 -0.101082 -0.017238 -0.089755 0.052242
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-Diskussion 0.022155 0.063710 -0.111154 0.038895 -0.183830 -0.101484 0.156775 -0.111358 -0.170608 -0.151942 0.218096 0.040103 -0.108587 0.143439 0.050051 -0.118883 -0.044765 -0.272294 0.108189 -0.228692 -0.026013 -0.059511 -0.063129 0.236102 0.184864 -0.073287 0.120974 -0.121916 0.071314 -0.122631 0.005900 -0.236089 -0.009942 -0.122784 -0.107451 0.168815 0.041485 0.009308 0.037777 -0.044002 0.085824 -0.084549 0.109696 -0.083187 0.149318 0.119331 -0.088829 0.109425 0.051732 -0.139032 -0.099223 -0.042563 -0.014497 0.142225 -0.074061 -0.176130 -0.020448 -0.001194 -0.091205 -0.005922 -0.121762 -0.099871 -0.117290 0.076424 0.072524 0.204638 -0.067786 0.122929 0.206419 -0.200019 0.096237 0.093179 -0.136584 -0.172810 0.022284 -0.019986 -0.175322 0.109269 0.221579 -0.045172 -0.071383 -0.017603 -0.059226 -0.041181 0.037834 0.002540 -0.063596 -0.089581 0.031720 0.105636 0.199010 -0.102651 0.068848 -0.200547 0.023761 0.104901 0.106421 -0.199803 -0.225957 0.155565 -0.165197 0.010603 -0.196424 0.037018 0.151019 -0.122801 -0.277702 -0.010617 -0.001832 0.090819 -0.211007 -0.087466 -0.060716 0.081568 -0.007740 -0.125252 -0.081821 -0.055398 -0.027200 0.181797 -0.091894 0.103746 0.113853 -0.222970 -0.054095 -0.091838 0.067336 -0.063091 -0.032717 -0.036314 -0.056114 0.009537 0.036932 -0.161347 -0.058961 0.075064 -0.062127 0.004100 0.102815 0.095850 0.068605 -0.079173 -0.192105 -0.120400 -0.249827 0.153687 -0.186692 -0.045166 -0.136372 -0.069762 0.075994 -0.073083 -0.051339 -0.190475 -0.206457 0.129327 -0.047244 0.115004 -0.030743 -0.165513 -0.111619 -0.087331 -0.003654 -0.012640 0.052674 -0.092599 -0.123832 -0.045947 -0.119261 -0.232570 -0.067788 -0.074395 -0.020304 0.083773 0.050583 0.011141 -0.017124 0.208864 -0.068337 0.173900 -0.164393 -0.112480 -0.076768 0.159209 0.097181 -0.091496 0.011071 -0.016280 0.032243 0.005086 0.121703 0.040284 -0.058133 0.102961 0.171905 -0.093205 0.153674 0.067695 -0.109672 0.124298 0.054985 0.051777 0.135971 -0.044536 0.220242 -0.079895 -0.075783 0.028918 -0.107048 -0.287552 0.077021 -0.154377 -0.104975 0.090529 -0.157688 -0.153382 -0.037472 0.102349 -0.146381 0.127624 -0.004739 -0.225489 0.206251 0.218362 -0.024381 0.142217 -0.127542 -0.067709 -0.061262 -0.175853 0.023084 0.038251 -0.003789 -0.028974 -0.070689 0.100762 -0.064716 -0.099851 -0.166182 -0.062037 0.009150 -0.122270 -0.008304 0.032022 -0.030180 0.218813 -0.097140 -0.161727 0.064325 0.023879 0.162588 0.127990 -0.037452 0.028990 0.072340 0.022494
-Fortschritt 0.152577 -0.009850 -0.062888 0.104909 -0.027702 0.019992 -0.094873 -0.140764 -0.136118 0.069232 0.202770 0.076080 0.185634 -0.068320 -0.076789 0.105664 -0.019016 -0.055975 0.199048 -0.124650 0.065681 -0.037468 -0.217509 0.134195 0.118284 0.110281 0.042922 -0.081927 -0.103969 -0.090789 0.051608 -0.040721 0.014994 -0.053985 -0.006241 0.098520 0.113966 0.045629 0.135318 -0.063783 0.163668 -0.008705 -0.130072 -0.220361 0.171394 -0.009840 -0.015943 -0.063184 -0.027306 -0.120690 0.019881 0.104338 0.195225 0.042333 -0.068594 -0.026018 0.052273 0.173756 -0.003024 -0.072609 0.104525 0.024233 0.017682 0.165259 0.073079 0.140316 -0.041462 0.207192 0.063351 -0.122946 0.066606 0.160390 -0.132317 -0.096830 0.165059 -0.001143 0.130045 -0.071655 0.001503 0.169506 0.100010 0.070268 -0.044942 -0.077535 0.112756 0.009821 -0.079729 -0.043762 0.039398 0.035601 0.120077 -0.099931 0.203547 -0.200525 0.049866 0.063447 0.145579 -0.036779 0.011401 0.084133 -0.020361 -0.092895 -0.108169 -0.059716 0.134399 -0.109301 -0.108369 -0.113920 0.159176 -0.044017 0.049646 -0.128948 -0.071020 0.022084 -0.014165 -0.191177 0.040616 0.067893 -0.096245 0.155648 -0.020098 -0.027072 0.248426 -0.024384 -0.222818 0.031889 -0.026851 0.008749 -0.231825 0.057944 -0.092685 -0.019359 0.147602 -0.107593 -0.079261 -0.141757 -0.065248 -0.155005 0.056635 -0.004144 0.029789 0.177305 -0.009473 0.055629 -0.176378 -0.038811 -0.185639 -0.073233 -0.050286 0.056128 0.084447 -0.110403 -0.081694 -0.140277 -0.191436 0.016392 0.008415 0.060730 -0.013201 -0.031120 -0.117679 -0.297647 -0.169197 -0.043378 -0.060540 0.068075 -0.033565 -0.114268 0.005693 0.105821 -0.107083 -0.230496 0.122292 0.051645 0.191495 0.186048 -0.033989 0.259397 -0.045665 0.051462 -0.156391 0.046763 -0.076672 0.076925 -0.066803 -0.051590 0.146456 0.047919 0.096802 0.000642 0.108428 0.144939 -0.136011 0.143581 0.249566 0.160121 0.196508 0.079136 -0.009486 -0.113741 0.068002 0.180565 0.070286 0.089601 0.092052 -0.120638 -0.016533 -0.037776 -0.111076 -0.097231 0.031386 0.072820 -0.183309 0.080957 -0.146269 -0.054960 0.001400 0.057764 -0.180365 0.121253 0.063097 -0.160510 0.080752 0.026458 -0.006742 0.056936 -0.184015 -0.063555 -0.127260 -0.073696 0.057575 -0.057921 0.182987 0.059737 0.027932 0.112775 -0.057737 -0.011737 -0.152616 -0.031559 0.116141 -0.203116 0.000531 0.011052 -0.036753 0.199721 -0.116332 0.056894 0.053114 0.084571 0.094099 0.037289 -0.008576 0.174444 0.014661 -0.004056
-Gebiete 0.029274 0.048464 0.100871 0.006608 0.149773 0.004863 -0.108141 0.208932 -0.050771 -0.107374 0.043288 0.073418 -0.005343 -0.066191 -0.229449 0.049900 0.244590 -0.063720 0.106100 0.043351 0.150863 0.103649 -0.024717 0.038309 0.069800 0.057287 0.089025 -0.116013 -0.004467 0.059282 0.083929 0.035680 0.024599 -0.095612 -0.146692 -0.174118 -0.149285 0.129784 -0.119009 -0.135476 0.184016 0.004313 0.009884 0.089817 0.005619 -0.135646 0.045253 -0.000495 -0.189253 -0.030049 0.028871 0.149182 0.042822 -0.066073 0.048392 0.021807 0.184359 -0.226165 -0.084941 0.173395 0.066667 0.065860 -0.007922 0.017301 -0.044884 -0.181250 0.077284 0.079993 0.137520 -0.008633 -0.067051 -0.063536 -0.038792 0.031418 0.061253 0.054094 -0.042672 -0.076535 0.008036 -0.022552 0.173682 -0.035128 -0.089583 0.126058 -0.205226 -0.053988 0.065077 -0.021858 -0.081159 -0.084250 0.165848 0.069285 0.045102 -0.058375 0.012595 0.074255 0.008369 0.114162 0.048652 -0.058562 0.021091 0.131623 -0.021603 0.047097 -0.029907 -0.060073 0.056575 0.095072 -0.089746 0.161966 0.083832 -0.016573 -0.031685 -0.029893 -0.142429 -0.082871 -0.055357 -0.106716 -0.030903 0.014976 0.205551 0.099792 -0.082934 0.009329 -0.025332 -0.003302 -0.048107 -0.285246 0.155187 -0.039846 -0.090936 0.040430 0.120658 0.043464 0.098412 0.030136 0.141360 0.054389 0.080699 -0.114318 0.061668 0.118946 0.010201 -0.080932 -0.280584 -0.032508 0.094009 -0.120680 0.059279 -0.014385 0.103308 0.035435 -0.201458 -0.011696 -0.016520 -0.059316 0.047173 -0.175819 0.072751 0.155452 0.040208 0.173360 -0.141309 0.049156 -0.079191 -0.000133 0.005161 -0.040571 0.037628 0.126539 -0.055086 0.096459 0.168002 0.017235 0.100575 -0.061274 -0.075113 -0.076968 0.104193 0.087884 -0.200238 0.182041 0.008798 -0.069000 -0.061413 0.023722 -0.050054 0.185149 -0.048029 0.118020 0.084213 -0.117227 -0.236162 -0.052164 0.013971 0.029124 0.016739 0.011615 0.087630 -0.003598 0.019487 -0.010184 -0.037025 -0.054234 -0.017903 0.009458 0.108965 0.022458 0.094046 -0.179893 -0.191583 -0.096470 -0.114811 -0.103265 -0.063094 0.223806 -0.134636 0.079960 -0.084371 -0.002859 -0.132282 -0.025708 0.080471 -0.008836 -0.180838 -0.005241 -0.005093 -0.074412 0.034401 0.095028 0.071408 0.017847 -0.031282 -0.049253 0.101613 0.032195 0.018260 -0.115515 -0.019530 0.035498 0.124813 -0.186179 -0.001678 -0.095916 -0.109533 -0.109784 -0.078723 0.145544 0.016436 -0.011982 -0.075711 -0.083339 -0.119629 0.072365 -0.168756 0.065545
-Gründen 0.192430 0.169956 -0.036512 -0.004705 0.002719 -0.143577 -0.084978 -0.045429 -0.231587 -0.188378 0.077944 -0.109420 0.126138 0.021946 -0.034379 -0.100835 0.153703 0.010457 0.097819 -0.047561 0.046264 -0.126318 -0.202282 0.093129 0.108045 -0.160535 0.045889 -0.010017 -0.000208 0.045842 -0.049048 -0.095686 0.115307 -0.204394 -0.089338 0.187626 -0.013626 0.107996 -0.219287 -0.299099 0.119355 -0.224175 -0.124537 0.078799 0.056677 0.117688 0.023120 0.092588 -0.041186 0.046660 -0.004175 -0.018607 0.102041 -0.066596 -0.175958 -0.112391 -0.037640 0.056119 0.042847 0.032532 0.049740 -0.032908 -0.143602 0.142308 0.107774 -0.013741 -0.051376 0.250233 0.146297 -0.141087 0.067624 -0.009696 -0.031302 -0.074384 0.228992 0.005901 -0.000078 0.054461 0.158935 0.000148 0.172895 0.044411 -0.022556 -0.106181 -0.071334 -0.005619 -0.032872 -0.096537 0.099265 -0.099932 0.206673 0.199496 0.111405 -0.152410 0.155426 0.049840 0.056618 -0.195334 -0.053187 0.039722 -0.185427 -0.079078 -0.108769 -0.036967 0.239012 -0.076076 -0.226180 0.078317 -0.082156 0.098786 -0.061398 -0.157040 -0.132922 0.149680 -0.111419 -0.062065 -0.037062 0.010518 -0.151306 0.106519 -0.033737 0.067926 0.124312 -0.098291 -0.201433 -0.109909 0.022806 -0.181236 -0.122930 -0.064553 -0.024966 0.030051 -0.009540 -0.194340 -0.106656 -0.069880 -0.046851 -0.167846 0.197192 0.025309 -0.059613 0.005252 -0.161947 -0.064052 -0.191950 -0.097322 -0.085029 -0.037245 -0.149044 -0.047489 0.059767 -0.086513 -0.158327 -0.141788 -0.016559 0.144044 -0.147726 0.085480 -0.196337 -0.089970 -0.277017 0.002813 -0.168113 0.011393 -0.075158 -0.088285 -0.005522 0.141093 -0.125150 0.116165 -0.016442 0.020394 -0.001027 0.057945 0.143036 -0.002860 -0.026266 0.080450 -0.187903 0.057435 -0.027976 0.091366 -0.233782 0.097018 -0.115977 -0.050123 -0.103877 -0.182202 0.082415 0.094692 0.038201 0.002562 -0.143880 0.156072 0.072433 0.116245 -0.029220 -0.041570 -0.191589 -0.074407 -0.164147 0.174382 -0.015674 -0.075045 0.216315 0.067290 0.030382 0.044553 0.013596 -0.198191 0.109616 0.044233 -0.047581 -0.041692 0.019800 0.016847 0.168174 -0.039868 -0.027184 0.092854 0.021666 0.023915 0.029385 0.139446 0.045917 0.168568 -0.129241 -0.189342 0.113333 -0.024617 0.059337 -0.044678 0.107062 0.058359 0.103840 -0.074461 0.102026 0.027732 0.082620 -0.058879 0.219356 -0.047092 -0.152699 0.182159 -0.109429 0.112976 0.009483 -0.214695 0.049925 -0.017407 0.072611 -0.098330 -0.087680 0.184958 0.014878 0.078663
-Handel 0.088392 -0.004488 0.007286 -0.132318 -0.176128 -0.119909 0.272921 0.183541 -0.032820 -0.015315 0.094220 -0.010756 0.003951 0.172066 -0.000482 0.062296 0.144544 -0.160969 0.188164 -0.115788 0.117649 0.019823 -0.149881 0.104000 0.095389 0.067482 -0.001418 0.026763 -0.119639 0.004128 -0.218850 -0.029290 0.006214 -0.068607 -0.064300 -0.052264 -0.212370 0.038402 0.115884 0.003155 -0.024250 -0.235317 -0.007727 0.109801 0.173351 0.040671 -0.029373 0.117932 -0.040340 0.097612 0.161562 0.067572 -0.017063 -0.072426 -0.044411 -0.022666 0.080412 -0.130519 -0.053410 0.023144 -0.143132 -0.054863 0.095016 0.120358 0.124285 0.116974 0.164160 -0.078549 0.213072 0.005125 -0.149459 -0.009664 -0.097521 -0.175130 -0.025483 -0.012526 -0.070860 -0.044980 0.065652 0.131268 0.130729 0.076946 -0.138783 0.029052 0.050508 -0.161928 0.026333 -0.083006 -0.022779 0.143471 0.011290 0.166631 0.198378 0.022792 0.163712 0.003916 0.074450 0.135914 0.009495 0.019508 0.039545 0.014300 0.112223 -0.147102 -0.009500 -0.084422 0.001159 -0.000017 -0.038882 -0.003878 -0.118933 0.025073 0.215375 -0.183683 -0.099595 -0.145882 0.210151 -0.019637 -0.192202 0.156472 0.004118 0.100187 -0.023705 0.230911 -0.018662 -0.012725 0.188008 0.120354 -0.049144 0.013685 -0.113277 0.029888 0.091199 -0.058086 0.039812 -0.077872 0.075105 -0.162277 -0.024346 0.064610 0.051166 0.061141 -0.058804 -0.000907 -0.166745 0.068509 -0.044710 -0.197463 0.084579 -0.036108 -0.108283 -0.037636 0.117672 -0.034126 0.010009 0.147150 -0.109452 0.018947 0.076810 -0.164943 -0.173594 0.011812 -0.150798 -0.066994 -0.110153 0.013377 -0.044794 -0.062566 0.035572 0.109897 -0.077487 0.044170 0.058744 0.030759 0.124061 0.072660 -0.316695 0.202778 -0.040359 -0.069354 -0.032241 0.040278 -0.077014 -0.140953 -0.164299 0.025804 -0.063583 -0.028501 -0.035493 -0.107489 0.145692 -0.175947 -0.219326 0.055232 -0.224869 0.107332 0.067149 0.210813 -0.116809 0.055033 0.044421 0.135767 -0.065908 -0.094683 0.101614 0.146966 -0.050939 0.039740 0.060056 0.158890 -0.094673 -0.106396 -0.064622 -0.118192 0.148274 0.012705 -0.078436 0.006411 -0.187530 -0.106123 0.003093 -0.188863 -0.052989 -0.043728 -0.103011 -0.047027 -0.180366 -0.078648 -0.055633 0.066845 0.014874 0.170799 -0.163645 -0.040159 0.151142 -0.000965 0.007953 -0.129135 -0.039655 0.047777 -0.101975 0.054236 -0.048911 -0.116979 -0.015580 0.133917 0.070028 0.036492 0.061613 -0.046737 0.053741 0.099414 0.031588 0.034948 -0.039422 -0.103184
-Herausforderungen 0.098635 0.166734 0.024622 0.017653 0.038670 -0.041848 -0.003273 0.071649 -0.014058 0.001623 0.132711 -0.076486 0.137408 0.040926 0.017785 -0.072320 0.012985 0.023842 -0.048378 0.015898 -0.160106 0.021902 0.069869 -0.026070 -0.043495 -0.189905 -0.059243 -0.189133 0.112636 0.118430 0.108809 0.023409 -0.024106 -0.101743 -0.046003 -0.055527 -0.139089 -0.056219 -0.024781 0.058766 0.148619 0.002502 0.049075 0.066780 -0.006689 -0.135045 -0.105956 0.144398 -0.066674 0.085100 -0.084544 -0.050776 -0.160535 0.005030 -0.063994 -0.116452 0.114270 -0.060213 -0.090389 0.010299 0.025671 -0.075730 -0.143782 -0.131090 -0.053033 -0.107367 -0.010220 0.073373 0.038387 -0.025526 -0.042928 -0.077604 0.170102 0.028835 0.111227 0.015514 0.040577 -0.005959 0.137415 0.046162 0.009720 -0.134407 -0.138965 0.038613 0.027411 0.129071 0.057308 -0.095398 0.000930 0.032904 -0.097116 -0.012856 0.108040 -0.102622 -0.029839 -0.033997 0.165130 0.034589 0.050783 0.040643 -0.104474 0.031012 0.057345 0.073462 0.160459 -0.071624 0.058947 0.042990 0.064863 0.012801 -0.038137 0.092079 -0.082424 0.012144 0.061500 -0.048976 -0.258203 -0.064213 -0.019599 -0.039473 0.007995 -0.060536 -0.102201 -0.150495 0.147558 -0.088564 0.147012 -0.160623 0.166615 -0.112309 0.098386 -0.072474 0.155804 0.135347 0.034717 -0.056327 0.053853 0.038739 0.011154 0.031450 0.034878 -0.030898 0.085272 -0.041286 -0.003359 0.044769 0.100488 0.052512 -0.082941 0.004483 -0.068456 0.183525 -0.082709 -0.151244 -0.028549 0.029233 -0.091567 -0.044016 0.095211 0.013787 0.106146 0.181695 0.122388 0.004596 0.062450 0.012281 0.108529 -0.068730 -0.017881 0.022495 -0.013631 0.107533 -0.028965 0.024361 -0.024381 -0.123580 0.150414 0.013709 0.117925 0.112003 -0.200759 0.010639 0.047129 0.044266 -0.111348 -0.101442 0.027949 0.048088 -0.146241 -0.021348 -0.035441 -0.060510 -0.161580 -0.086691 0.077559 0.056822 -0.067035 -0.033039 0.035042 0.006811 -0.170279 -0.006630 -0.111175 -0.019371 -0.021699 0.019654 0.019301 0.168016 -0.027894 0.062290 -0.088372 -0.080419 0.042452 -0.124344 0.035149 0.066089 -0.013678 -0.144760 0.064233 0.035387 -0.104945 -0.078335 -0.037633 -0.021554 0.054963 -0.008299 0.129064 0.053629 -0.017697 0.114914 0.084562 -0.037944 -0.135006 -0.172195 0.155248 -0.092023 0.189729 0.066362 0.071928 -0.094380 0.007129 -0.143194 0.177937 -0.117692 -0.034930 -0.018261 -0.215112 -0.026811 0.001791 -0.150574 -0.097993 -0.095808 -0.059794 -0.011032 0.005984 -0.104175
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-Integration 0.176282 -0.012922 0.148189 0.004027 0.159233 -0.047199 -0.117467 -0.024095 0.060677 0.021540 -0.092143 -0.072478 -0.072240 -0.056467 -0.024015 -0.093693 -0.137364 0.027722 -0.163262 -0.026472 -0.015626 -0.031478 0.122824 0.121301 0.045643 -0.094807 -0.038304 0.001343 0.023117 0.067640 0.240792 0.152301 0.082184 -0.157786 0.025980 -0.131896 -0.135672 -0.044969 0.037316 0.028092 -0.008426 0.121986 -0.017189 -0.099606 -0.092874 -0.106446 0.056392 -0.175134 -0.060821 0.058336 -0.044873 -0.079628 -0.061671 -0.038530 0.010999 0.069689 0.059499 0.059029 -0.011738 0.076735 0.148834 0.057320 0.004696 0.163731 -0.254559 -0.170362 -0.001721 0.182036 0.040600 0.006488 -0.017151 0.136113 0.261375 0.104924 -0.039884 0.039823 0.204604 -0.074352 0.045953 -0.102296 -0.079865 -0.025458 0.057497 0.000083 -0.251837 0.138476 -0.010710 -0.083830 -0.036572 -0.141116 -0.103094 0.064606 0.058031 0.174921 0.031237 0.191096 0.007675 0.034956 0.015596 0.052492 0.245603 0.045198 0.026931 -0.083023 -0.043379 -0.014390 -0.099338 -0.197700 -0.107087 0.089184 -0.090807 -0.036210 -0.175479 -0.041337 0.081974 -0.056669 -0.102646 -0.171007 0.067424 -0.072233 -0.003041 -0.022986 -0.106180 -0.101373 -0.170539 0.132079 0.073785 -0.043337 0.044920 -0.055987 0.060949 0.080909 -0.046614 0.046884 -0.016075 0.055575 -0.051619 -0.009813 -0.130674 0.034396 0.015105 0.139516 0.072653 -0.062703 -0.057468 -0.025067 0.185275 -0.106995 -0.017006 -0.059692 0.075776 0.016102 -0.153691 0.000577 -0.138568 -0.166545 -0.052145 0.057802 0.051552 0.244928 0.125741 -0.029116 -0.018225 0.065775 -0.029138 0.036204 0.146647 -0.097991 -0.051872 0.025870 -0.072848 0.115145 0.126555 0.005014 0.038149 -0.095722 0.140978 0.004022 0.038837 0.106540 -0.167404 0.052896 -0.104180 0.015073 -0.101521 -0.026014 0.078923 0.101832 -0.053343 -0.020091 0.051698 0.141833 -0.178568 0.039142 -0.118170 0.160103 -0.113189 -0.113799 0.031897 -0.085291 -0.064277 -0.052511 0.047617 0.007025 0.020322 0.027664 -0.069973 0.055183 -0.022682 0.055831 0.067349 0.169111 0.101744 -0.044893 -0.049657 0.087592 0.185673 0.025389 -0.108155 0.192733 0.006338 0.216241 -0.028397 -0.041122 -0.043639 0.087507 0.028396 0.005297 0.035985 0.044874 0.021930 0.104129 0.086020 0.191393 -0.284458 -0.084756 0.046289 0.177969 -0.051637 -0.133217 0.125903 -0.137964 0.111307 -0.059297 -0.063835 -0.191470 -0.021511 0.098465 0.027272 -0.054806 0.015912 -0.042458 -0.020574 -0.084621 -0.093539 0.056199
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-Wann 0.076740 0.072728 0.035325 0.138575 -0.188639 0.224919 -0.138050 -0.224628 -0.094043 0.139099 -0.110539 0.212426 0.001295 -0.184253 -0.076414 -0.100602 -0.082114 -0.071831 -0.045131 0.018959 -0.057221 -0.007615 -0.226202 0.100299 0.233401 -0.010817 0.042256 -0.113272 0.109859 -0.134964 -0.027923 -0.195584 0.183127 0.157907 -0.015424 0.046437 0.228907 -0.053192 0.000685 -0.124707 0.046247 0.200617 0.102199 -0.246585 0.165945 0.095286 0.132206 0.157362 0.115758 -0.217319 0.187719 -0.091910 0.099345 -0.038787 -0.034394 -0.144865 0.043491 -0.009082 0.107471 -0.254250 0.045645 -0.091767 0.010265 0.088316 0.053981 0.182413 -0.006658 0.332369 -0.307613 0.197937 0.106231 0.107774 0.079306 -0.034027 -0.166573 -0.064811 -0.030934 0.094493 0.013310 0.049346 0.097910 0.022105 0.180360 -0.212557 0.025824 0.034856 0.156061 0.036359 0.120576 0.067775 0.114302 -0.066991 -0.144140 0.124444 0.116943 -0.086251 -0.028658 -0.062683 -0.130330 0.171674 -0.073877 -0.012174 0.052292 0.128562 -0.092211 0.007707 -0.128502 -0.039765 0.205589 -0.076408 -0.205385 -0.139374 -0.017364 0.165411 0.098807 -0.139718 -0.076477 0.149134 -0.243088 -0.053917 -0.060138 -0.261498 0.196535 0.008834 -0.096270 -0.112131 -0.253926 0.011093 -0.185699 0.098551 -0.070600 -0.103521 0.167805 -0.091357 -0.097619 -0.112664 0.017088 -0.028095 0.072208 0.109633 -0.167054 -0.151716 -0.249722 -0.216625 -0.111582 0.237672 0.197407 0.019468 -0.127004 0.102573 0.163072 -0.001765 -0.114970 -0.033275 -0.070519 -0.027210 -0.155190 0.105327 0.078557 0.063374 0.185716 -0.030293 0.032175 -0.014568 0.047534 0.032629 -0.220181 0.112446 0.023227 -0.134594 0.238632 -0.176550 -0.038888 0.129473 0.017507 0.025264 0.154715 0.089259 -0.137176 0.174006 0.067806 0.042712 -0.095906 0.097743 0.036615 0.032486 -0.251475 0.025953 0.104166 0.199542 0.031734 0.193266 0.115387 0.051479 -0.012218 0.057330 0.324968 0.004517 0.029292 0.118867 0.027244 -0.054663 0.160365 -0.138537 -0.064851 -0.197362 -0.084647 -0.210304 0.001536 -0.072293 -0.007745 0.150490 0.072782 0.169211 0.007419 -0.050097 0.206870 -0.075220 0.060385 -0.147360 -0.007078 -0.006409 0.064727 0.029500 -0.196045 0.293334 -0.103089 -0.144410 -0.088265 -0.070101 -0.143971 -0.001594 0.042831 0.149105 -0.027193 0.055966 -0.059751 -0.002648 0.079089 -0.104616 -0.081733 0.006448 0.001835 0.118535 0.139710 0.149553 0.159697 0.001482 0.087611 0.149793 0.174949 0.017804 0.150586 0.030263 -0.077562 0.054100
-Zustimmung 0.018143 -0.014773 -0.002618 0.089806 0.106607 -0.147589 -0.012364 0.191381 0.006981 -0.189994 -0.085682 -0.190070 -0.060360 0.111556 -0.120761 -0.054522 0.063896 -0.010473 -0.000405 -0.031878 -0.034496 0.059458 0.044531 -0.000290 -0.038414 -0.128443 0.071131 -0.065666 -0.183175 0.099682 -0.011810 0.094236 -0.004035 -0.058483 -0.096465 0.006314 0.016385 0.088747 0.017980 -0.080175 -0.069997 -0.090937 0.056314 0.179888 -0.022532 0.107598 -0.031000 -0.028339 -0.025326 0.044577 -0.088867 0.073836 0.010132 0.061391 -0.116630 0.076312 -0.029059 -0.126220 -0.086302 0.092162 -0.138624 0.135072 -0.130323 -0.023162 -0.035705 -0.046806 0.145105 -0.108802 0.251549 -0.014974 0.082892 -0.049578 -0.220776 0.236249 0.097967 0.129439 0.031058 0.001658 0.099945 -0.237257 0.127889 0.012737 0.059952 0.219792 -0.001975 0.028008 -0.091828 -0.110743 0.119878 -0.047234 -0.064913 0.051757 -0.020431 -0.005741 0.024118 0.119666 -0.053420 -0.155168 -0.116251 -0.095153 -0.075785 -0.029890 0.004526 -0.017865 -0.081239 -0.013040 -0.095076 0.025542 -0.295837 0.192263 -0.071125 -0.090921 -0.081694 -0.022959 -0.086892 -0.019065 0.129523 -0.006119 0.001276 -0.023217 -0.037669 0.110689 -0.096881 -0.006232 0.020508 0.031739 0.165406 -0.215806 0.096508 0.124556 0.152062 -0.006541 -0.051807 0.070351 0.136296 -0.062096 -0.074647 0.026409 0.049128 -0.197871 0.215647 0.089698 0.071958 0.024843 0.009763 0.062862 -0.000115 0.059571 -0.092085 -0.097218 0.026532 0.120567 -0.189857 0.050329 0.007236 0.026264 0.121640 -0.196733 -0.090900 0.127463 -0.074470 0.131259 0.034960 0.083683 0.099991 0.033534 -0.071928 -0.056534 -0.153985 -0.142773 -0.152336 0.154327 0.178637 -0.060748 0.018946 -0.029705 -0.179936 0.052272 -0.038892 -0.117539 0.096939 0.230434 0.000514 -0.067518 -0.156366 -0.032301 -0.001742 0.071456 -0.062695 0.066762 -0.050128 -0.078711 -0.078785 0.050061 -0.030197 -0.047573 -0.127611 -0.124499 0.135782 -0.062143 -0.108392 0.018634 0.132369 -0.199131 0.115722 0.080819 0.073309 -0.106249 0.125098 0.003007 0.023059 -0.087967 -0.067400 -0.157997 -0.043499 0.085084 0.022543 -0.002737 -0.093786 0.148647 -0.017641 -0.017280 0.129792 0.028322 0.145278 -0.023768 0.144100 0.001530 0.159371 0.018529 0.014111 0.203122 -0.042781 0.112616 0.164877 0.009787 0.076562 0.050948 -0.035800 0.038364 0.065839 -0.020379 -0.049843 0.129367 -0.057442 -0.079043 -0.033895 0.138768 -0.067080 -0.001436 -0.028548 -0.050323 -0.109993 -0.034654 -0.095749 0.088755
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diff --git a/tgt_embeddings.txt b/tgt_embeddings.txt
deleted file mode 100644
index 6f14aa5ae0..0000000000
--- a/tgt_embeddings.txt
+++ /dev/null
@@ -1,1002 +0,0 @@
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-Finally 0.011664 0.034784 -0.105027 0.013601 -0.099107 0.093775 -0.067829 -0.074808 -0.084802 -0.034461 0.042854 -0.150501 0.164048 -0.002519 0.074075 -0.016872 -0.055165 0.056822 0.008333 -0.047055 -0.067811 -0.030645 0.002135 -0.051600 -0.118654 0.090851 -0.130713 -0.033819 0.024568 0.007254 -0.060404 0.007254 0.017473 0.068460 -0.076429 0.091985 -0.027825 -0.048950 -0.088297 0.040631 0.031414 -0.097161 0.058519 -0.146323 -0.015283 0.006992 -0.047209 0.123030 -0.070002 -0.150233 0.009686 0.159673 -0.121444 -0.063188 -0.053971 -0.027407 0.140271 0.069595 -0.079977 -0.036566 -0.020011 0.015672 0.129350 0.074607 -0.061435 -0.114608 -0.009344 0.043994 -0.105532 0.047492 0.098581 -0.002675 0.030104 -0.011496 -0.062386 0.119635 0.016469 -0.053064 -0.079719 -0.081243 0.054493 -0.041862 -0.051308 0.032245 -0.022463 -0.015854 -0.061506 -0.080911 0.093883 -0.007370 -0.052125 -0.129131 0.027204 0.044247 -0.116915 0.086426 0.037451 0.146788 -0.090299 -0.123559 -0.208180 0.033249 0.061837 -0.001715 -0.139846 -0.006514 0.146868 0.014261 -0.018731 0.034530 0.101290 0.106713 0.030629 0.013703 0.064259 -0.031636 0.070662 -0.119379 0.062917 0.057007 0.051964 0.051571 0.232343 0.022130 0.005170 -0.003483 -0.088535 0.043630 -0.000973 0.022675 0.086834 -0.030659 0.047389 -0.000022 0.077812 0.012453 -0.007525 -0.065604 0.022434 -0.013089 0.011355 -0.077380 0.215076 -0.002298 0.071478 0.065447 0.042125 -0.034574 -0.047218 0.031360 -0.153952 -0.064772 -0.067959 0.086747 0.072161 0.020638 -0.128847 -0.038607 0.081512 0.125078 -0.009985 0.089353 -0.050929 -0.027962 0.093428 -0.200952 0.189959 0.048983 -0.135746 -0.008067 0.061261 0.027548 0.018722 0.007656 0.017439 0.040149 -0.086210 -0.091738 -0.126583 -0.052793 0.035224 -0.026045 0.050494 -0.009953 0.087944 -0.000453 -0.143379 -0.070704 -0.167091 -0.072783 0.009993 0.007837 -0.009335 0.110763 0.024529 -0.043908 0.085576 0.019072 0.102373 0.147153 0.122414 0.012849 -0.015030 0.017054 0.096206 0.013395 -0.104822 0.095312 -0.034535 0.022909 0.021419 0.071075 0.153443 0.018431 0.019350 0.087880 -0.013298 -0.101847 0.082403 0.125475 -0.074973 -0.131897 0.141565 -0.021338 -0.025352 -0.032585 0.013616 -0.133277 -0.101755 0.150263 -0.069233 -0.010020 -0.026551 -0.068435 -0.034892 -0.115058 -0.136083 -0.124347 -0.166135 -0.039645 0.042260 -0.050732 0.098829 0.107083 0.056560 0.001667 0.121589 -0.007083 -0.138992 -0.034747 -0.133403 -0.072232 -0.047949 0.133077 0.087626 0.082689
-How 0.040479 -0.046558 -0.102689 0.055749 -0.066502 -0.035988 0.035627 -0.060707 0.053291 0.143439 -0.027523 0.001624 0.035740 0.013389 -0.024988 -0.077468 0.069101 -0.014022 -0.134889 -0.061257 -0.005640 -0.013682 -0.045761 -0.025102 0.022213 0.069550 0.032490 0.034404 0.003785 0.130213 0.070137 0.040668 0.023754 -0.026266 -0.092613 0.000243 -0.069408 -0.160925 -0.139933 -0.032481 0.096558 -0.054111 0.074086 -0.036310 0.063867 0.163579 -0.013858 0.024150 0.064901 -0.006514 -0.089579 0.048303 -0.026219 0.001926 0.040804 0.054601 0.075761 -0.067827 0.061216 -0.019782 -0.076839 0.045033 -0.021044 0.042664 0.059308 -0.018021 -0.008620 0.038468 -0.038161 0.123503 -0.122744 -0.079004 0.064119 -0.105234 0.148879 0.043096 0.018846 -0.112697 -0.081764 0.167999 0.099146 -0.111442 0.115962 -0.018909 0.124349 -0.041546 -0.075969 0.096368 0.075344 0.034695 -0.054604 0.090497 0.136298 -0.048525 0.057221 -0.046678 0.156761 0.037015 0.133982 -0.088799 0.026353 0.039603 0.092522 0.022652 0.114651 0.057462 0.004860 0.096575 -0.024039 -0.058867 0.025123 -0.041175 -0.065143 0.050454 0.064320 -0.017160 -0.058613 -0.095891 0.067895 -0.055750 0.003404 0.152052 0.019406 0.009053 -0.104299 -0.001594 -0.040435 -0.031613 0.098648 -0.003215 -0.047183 0.108803 0.116604 0.022209 0.019985 -0.044313 -0.038466 -0.065822 0.169648 -0.091217 0.062595 0.085218 0.154029 0.054578 -0.021054 0.034879 0.059849 -0.098578 -0.012684 -0.100793 -0.000157 0.154952 0.012794 -0.151452 -0.034348 -0.034846 -0.062542 -0.092789 -0.094457 -0.018391 -0.040900 0.083699 -0.078550 0.065704 -0.034461 0.019432 0.084148 -0.192134 -0.062377 -0.104076 -0.082621 0.061555 0.109055 0.063379 -0.071533 -0.097921 -0.023337 -0.092607 0.072347 0.031582 -0.083763 0.209997 -0.006900 -0.106363 -0.039500 0.142173 0.152447 0.138553 0.006493 0.041519 -0.092042 0.119433 0.038269 0.139064 0.086464 0.048199 -0.074684 -0.023152 0.097676 0.129015 -0.021998 0.004278 -0.002020 -0.142943 0.075935 0.166846 -0.009649 0.012225 -0.058946 0.096634 -0.067472 0.009932 -0.036484 -0.083549 0.022609 0.093058 0.014561 0.082946 -0.007416 -0.056469 -0.097003 0.142811 0.130147 -0.023761 0.007946 0.004739 0.077932 -0.113692 0.103241 0.066737 -0.110658 -0.047143 0.018056 0.162066 -0.113771 -0.023633 0.002181 -0.113834 0.043432 0.002314 0.064909 0.013270 0.005993 -0.054356 0.027726 -0.106228 -0.130640 0.017901 0.080746 -0.115547 -0.034783 0.063411 -0.013096 0.003387 0.102453 -0.011411
-Since 0.014285 0.176116 -0.059178 0.092532 -0.122378 0.087143 0.095374 -0.044756 -0.002580 0.168763 -0.015561 -0.006951 0.151392 -0.069546 -0.008351 0.014341 0.063392 0.115902 -0.131305 0.026022 0.075791 0.157693 0.066379 -0.111764 -0.183210 0.062187 -0.080128 0.005958 -0.075999 -0.037790 -0.087373 0.024484 0.238207 -0.096513 -0.110827 -0.017378 0.054022 -0.037837 -0.181487 -0.100354 -0.051316 0.076023 -0.069697 -0.059979 -0.069327 -0.030711 0.135378 0.088620 0.144591 -0.183869 0.063976 -0.005168 -0.064497 -0.216976 0.007934 -0.017770 0.049202 -0.066285 -0.034227 -0.049958 -0.022155 0.002657 0.144502 -0.061040 -0.072299 0.076604 -0.156624 0.031245 -0.006689 0.048319 0.033402 0.037994 -0.016133 0.071145 -0.134390 0.038309 0.121098 -0.023170 -0.126161 0.189884 -0.093493 0.085199 -0.013790 0.159517 0.155429 -0.032283 0.031210 -0.091018 -0.054082 0.052570 0.103226 -0.011075 0.059749 -0.042513 -0.034842 -0.041494 -0.004163 0.201393 -0.128011 -0.066083 -0.022479 0.085428 0.175179 -0.152376 -0.017773 0.009199 0.057038 0.218264 0.156322 0.261077 0.081451 -0.184662 -0.083274 -0.174831 -0.036640 0.051913 -0.106833 0.033338 -0.025383 0.118783 0.033330 0.133691 0.021315 0.183749 -0.071592 0.024879 -0.100449 -0.033018 0.195794 -0.070679 -0.180745 0.157986 -0.038443 0.056545 -0.041946 0.058277 -0.119043 -0.049513 -0.090652 -0.145453 -0.073904 -0.122178 -0.036741 -0.000286 -0.130649 0.090402 0.023620 0.057049 0.007640 0.043176 0.054678 0.033218 0.061326 0.041329 0.275140 0.064730 -0.124881 -0.154048 0.112018 0.052233 -0.240487 0.103239 -0.167943 -0.169100 0.008096 -0.140609 0.101766 0.185955 -0.103540 -0.042638 0.045532 -0.072769 -0.065869 0.047693 -0.082714 0.018932 0.044686 0.079328 -0.004895 -0.040882 0.140424 0.053584 -0.118428 0.132558 0.141837 -0.009608 -0.158335 -0.093646 0.060543 0.082709 -0.094600 0.043755 0.015224 0.011898 0.056906 0.180647 -0.050147 -0.040476 -0.014837 -0.046353 0.208521 -0.006257 -0.106917 -0.088344 0.061138 0.130267 0.166011 0.003473 -0.034430 0.027125 -0.022156 0.004485 0.095321 0.021273 0.154883 -0.037921 0.029230 0.069355 0.016470 0.040089 0.115694 0.088630 0.085355 -0.003224 -0.082393 0.054559 -0.087023 -0.023222 0.095950 0.175383 -0.203503 0.015391 -0.105743 0.080770 -0.054092 0.112404 -0.094516 -0.081794 0.038682 0.045778 -0.153267 0.023069 0.047183 -0.073010 0.010230 -0.000759 0.008352 -0.050431 0.130675 -0.125395 0.159970 -0.066117 0.026458 -0.080296 0.030444 -0.184901
-State -0.011452 0.115965 0.035335 0.097137 -0.156164 0.099668 -0.061664 0.054520 -0.039465 0.036068 0.066000 -0.112502 0.013301 -0.064917 0.091158 -0.035403 -0.047534 0.028135 0.031467 0.067065 0.020788 -0.033525 0.118574 -0.099120 -0.010160 0.026152 -0.048597 -0.126131 -0.070043 0.086350 0.050015 -0.100469 0.040317 -0.083039 -0.041817 0.047190 0.048717 -0.102089 -0.012040 0.025156 -0.058197 -0.011968 0.086577 0.107455 0.083352 -0.038388 -0.085232 0.057330 0.099059 0.015842 -0.053103 0.116515 0.065275 0.007877 -0.000507 0.012630 0.234201 0.018780 -0.039774 -0.041435 0.029566 0.010084 0.014292 -0.159083 -0.080429 -0.021865 -0.058149 0.027245 0.057754 0.063776 -0.026887 -0.064295 -0.196441 -0.027244 -0.085335 -0.048152 -0.000342 -0.142593 -0.061249 0.054307 -0.012021 -0.075173 0.085651 0.104557 0.140145 -0.038833 -0.101485 -0.000409 0.107635 -0.033762 -0.030661 -0.051680 0.105641 0.083050 0.131518 -0.055850 -0.109323 -0.016988 -0.074500 -0.140888 0.019753 -0.037394 -0.056499 0.084481 -0.070047 -0.059516 0.005553 0.003243 0.145988 -0.001840 -0.081901 0.013034 0.051998 0.061219 0.147695 -0.043975 -0.151431 0.022461 -0.035724 0.016004 -0.082448 0.022673 -0.103320 -0.020344 -0.148265 0.017072 -0.114929 -0.085674 -0.057739 -0.167474 -0.098139 0.040952 0.111431 0.060537 0.083625 0.000639 0.022880 -0.082804 0.116800 0.042891 -0.040866 0.066778 0.138303 0.015140 -0.040377 0.148939 -0.087099 -0.074595 0.048980 -0.215188 0.027891 -0.064849 0.101360 0.090913 0.002483 0.043724 -0.068427 -0.114052 -0.124819 0.046793 -0.075228 0.059168 0.048488 -0.039504 0.041339 0.019319 0.022815 0.045945 -0.014512 -0.010069 -0.041482 -0.009314 -0.106824 0.163635 -0.123392 -0.080053 -0.133150 0.133309 0.114371 0.029083 0.023768 -0.085074 -0.055898 -0.119012 0.100650 0.073487 0.146974 0.069431 -0.070936 0.050779 -0.024999 -0.057916 -0.009008 -0.027006 0.033143 0.064381 0.013015 -0.051257 -0.004537 0.023738 0.023136 -0.104730 -0.053454 -0.037155 0.038979 0.063905 -0.080306 -0.094936 -0.098537 -0.084506 -0.068603 0.076389 -0.041562 -0.029018 -0.042668 0.050353 0.160712 -0.040502 -0.019437 0.052909 -0.072743 0.060058 -0.015309 0.022472 -0.006959 -0.087363 0.043504 -0.081344 -0.013461 0.103084 -0.027920 0.010092 0.042994 0.103053 0.013973 0.001469 0.069667 0.058276 0.192535 0.081024 0.110632 0.025085 0.097618 0.060603 -0.065602 -0.045757 0.003569 -0.093378 0.015602 0.024071 0.093928 -0.043906 -0.026389 0.051573 -0.000082 -0.083770
-Turkey 0.046447 0.158748 -0.060872 -0.013113 -0.191751 0.043385 0.014244 -0.032019 0.057483 -0.180208 -0.030399 -0.119663 0.022670 -0.034065 -0.207684 0.096549 0.027220 0.046495 -0.038947 0.054314 -0.031735 0.111033 -0.075463 -0.029140 -0.063230 0.064573 -0.172747 -0.036606 0.011441 -0.099269 0.132170 -0.014320 -0.050662 -0.133678 0.096459 0.023973 0.175903 0.005378 -0.163162 -0.280012 0.110097 -0.036558 0.137433 -0.039120 -0.047834 0.022499 -0.059136 0.063381 0.103041 -0.011644 -0.032823 0.001994 0.004724 -0.168733 0.189990 -0.113019 -0.055039 -0.127572 -0.084182 0.068099 -0.081100 -0.087611 0.030936 -0.131431 0.010318 -0.128826 -0.092929 -0.027611 0.131408 -0.092731 -0.137293 0.169523 -0.063622 -0.009494 -0.023887 -0.058228 -0.150526 -0.103782 -0.174924 -0.179251 -0.023403 -0.007271 0.047404 0.103423 0.157940 -0.062317 -0.037795 0.193591 0.063249 -0.041197 -0.013351 -0.064102 0.058940 -0.146328 0.118100 -0.287071 -0.125491 0.042160 0.071743 0.052020 0.004946 -0.064628 0.170680 0.179274 -0.018544 -0.055722 0.069267 0.181139 0.137715 0.099265 0.160089 -0.052940 0.155541 0.008793 -0.143968 -0.067303 -0.202338 -0.005723 0.247876 0.012784 -0.095521 -0.107992 -0.129170 0.076658 -0.056295 0.023888 -0.057028 -0.232185 -0.019227 -0.157534 0.038246 0.100056 0.170621 -0.015054 0.096590 0.054899 -0.133989 0.035972 -0.094588 -0.022802 -0.146233 -0.071290 0.292418 -0.066059 0.114607 0.110958 0.048606 -0.167760 -0.005471 -0.168019 0.139896 0.077156 0.138565 -0.044054 -0.038768 0.070924 -0.197559 -0.130901 -0.012229 -0.053525 0.122161 0.065374 -0.138853 -0.135489 0.183456 -0.292998 0.084534 -0.065612 -0.005170 -0.168780 -0.060837 -0.139244 -0.049049 0.100066 -0.103450 -0.082327 -0.161951 -0.143593 -0.020884 0.072826 -0.132071 0.207922 -0.144189 0.092773 0.028807 0.019255 -0.140913 0.063087 -0.120984 0.006909 0.174666 -0.037121 -0.011390 0.215603 0.078359 0.224540 -0.096790 -0.123323 0.099215 0.309354 -0.099023 -0.143577 0.105935 0.146553 0.111299 0.071427 -0.038860 0.114182 -0.074604 -0.129390 -0.059076 0.160916 0.187628 -0.070935 -0.016220 -0.110854 0.205733 -0.015667 -0.039927 0.043870 -0.321909 -0.137733 0.121077 0.007259 -0.060161 0.058169 0.230184 0.040276 0.028458 -0.004916 -0.080763 -0.010233 0.069075 0.053206 -0.036387 0.174942 0.164284 0.002147 0.048617 -0.039892 -0.042728 0.132865 -0.267385 -0.134604 0.239304 -0.012371 0.023926 0.065130 -0.078020 -0.047143 -0.074401 -0.244143 0.016724 0.105909 0.086681 -0.082414
-achieved 0.038568 0.075825 0.041384 0.026146 -0.126975 0.005900 0.047546 0.027829 -0.017365 0.199982 -0.041893 -0.061681 0.116241 0.034761 0.017679 0.045668 0.112881 -0.073994 0.095498 -0.053411 -0.015051 0.020137 0.008363 -0.058735 -0.000118 -0.041194 -0.041156 0.091559 0.002818 0.076046 -0.180012 -0.025613 -0.032479 -0.043967 0.025528 0.058280 0.042003 -0.069986 -0.010156 -0.150581 0.005339 0.153420 -0.068449 0.062893 0.087488 0.132236 -0.078629 0.077326 0.070877 0.028556 -0.123178 -0.141408 -0.046556 0.024613 0.056066 0.154221 0.028118 0.031274 0.000352 0.038018 -0.036287 -0.063512 -0.032876 0.010189 -0.066563 -0.074524 -0.017251 0.115135 0.033701 -0.092797 -0.221711 0.010117 -0.087962 -0.104602 0.061612 0.112410 -0.101359 -0.143942 -0.014801 -0.042436 -0.047110 -0.070795 -0.142068 -0.070260 0.045190 -0.147296 0.040693 -0.030958 0.077518 -0.145122 -0.138209 -0.041593 -0.088004 0.100901 -0.064753 0.143357 -0.057494 0.067397 -0.082760 -0.114567 0.025243 0.115425 -0.016439 -0.000150 0.004563 0.052079 0.021925 -0.008220 -0.025521 0.042374 0.047969 -0.051820 -0.015647 0.071828 -0.024008 0.004472 -0.101186 -0.110441 -0.140548 0.018692 0.102021 0.015004 0.041651 0.107685 -0.030699 -0.093040 -0.059368 0.002805 0.055930 0.037254 0.126877 0.105710 -0.003814 -0.021397 -0.102662 -0.088568 0.010851 -0.021152 -0.097081 -0.062714 0.088838 0.126760 -0.065988 0.019106 -0.084833 -0.063926 0.105444 -0.056493 0.025965 -0.036297 0.104641 0.152619 -0.092809 -0.041520 -0.064675 0.003446 0.142833 -0.015829 -0.043670 -0.114197 -0.087586 -0.006978 -0.213066 -0.004375 -0.094288 0.040833 -0.051885 0.089190 -0.024631 0.032672 0.037231 -0.017869 0.020036 0.079755 -0.080172 -0.069539 -0.046053 0.042649 -0.073876 0.025543 0.013569 0.064802 -0.033092 -0.019877 0.036253 -0.076100 0.112200 0.074327 -0.020359 0.174386 -0.174610 -0.153330 0.015574 -0.012377 -0.074425 0.063081 -0.104564 -0.123750 -0.085843 -0.003202 0.073754 0.036935 -0.178322 0.054027 0.095140 0.066335 0.127961 0.178903 -0.036490 -0.067900 -0.015938 -0.002071 0.067522 -0.035564 -0.040578 -0.051605 0.037564 -0.060530 -0.034914 0.038421 0.070425 -0.004349 0.130242 -0.059104 0.071881 -0.053839 -0.146198 -0.111204 0.162190 0.202347 0.013678 -0.092793 -0.017443 0.029687 -0.171076 -0.084393 0.005505 -0.135283 0.055845 -0.027081 -0.070779 -0.040901 0.089711 0.140722 -0.027522 0.033765 -0.082822 0.117580 0.026428 0.044414 0.078702 -0.065769 -0.113811 -0.016026 -0.027492 0.048617
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-across 0.091462 0.024008 0.129303 0.018651 0.141703 0.084527 -0.235874 -0.137410 -0.066221 -0.286829 0.054138 0.008638 0.009790 -0.132507 0.021900 -0.087872 0.040102 -0.076077 -0.028462 -0.038237 0.140657 -0.068427 0.119612 0.083608 0.148579 -0.105541 0.073542 0.061996 0.043821 -0.026596 -0.004865 -0.018124 0.082367 0.039362 -0.122323 0.230189 -0.047166 0.167265 0.025936 0.130639 0.028101 -0.185885 0.019147 -0.061653 -0.112460 0.036993 -0.025798 0.195916 0.080272 -0.106405 -0.036199 0.117437 -0.128675 0.061829 0.024003 0.076336 0.067531 0.047771 -0.130553 -0.011201 0.145649 0.044388 -0.043934 0.056726 0.025300 0.008469 -0.072836 -0.055574 0.013267 0.063537 0.041442 -0.078257 -0.011777 0.138136 -0.119519 -0.037206 -0.100003 0.031649 -0.054793 0.142912 -0.218527 0.028306 0.143644 -0.048698 -0.092151 0.051302 -0.085057 -0.141136 0.119742 0.045888 0.047027 0.023869 0.101182 -0.067851 -0.128744 0.059887 0.089715 0.118221 0.029406 0.076190 -0.013853 -0.109873 0.087973 -0.059353 -0.021339 0.026310 -0.043979 0.057088 -0.044792 0.152177 -0.038338 -0.117130 0.152222 -0.126701 0.033942 -0.117004 -0.012036 -0.112868 -0.112366 -0.018934 -0.026888 -0.097182 0.123808 0.096904 -0.091703 0.045765 -0.087964 -0.058758 -0.075267 0.080504 0.089492 0.056466 0.042167 0.042345 -0.057278 -0.021520 -0.146819 0.033713 0.049741 -0.087041 0.033787 0.110095 -0.075120 0.112365 0.025027 0.124025 0.004041 -0.030876 0.002764 -0.168290 0.063772 -0.063748 0.123525 -0.170359 0.096787 0.144575 0.033194 -0.022991 -0.038790 0.093162 -0.089344 0.012260 0.149096 0.024443 0.192711 0.006271 0.094228 -0.060319 0.093304 -0.032170 -0.151558 -0.090897 -0.007041 -0.066920 0.147792 0.051875 0.107557 0.115440 0.085761 0.004993 -0.087127 -0.118452 -0.081354 0.039553 0.183293 -0.124043 -0.128720 0.002120 -0.117037 -0.024582 -0.045510 -0.105542 -0.105841 0.004095 0.044816 -0.006524 -0.077545 -0.005981 -0.019709 0.116227 -0.194405 -0.097669 0.009486 -0.123027 -0.045891 0.008894 -0.132939 -0.082669 0.023142 0.102855 0.099339 0.136651 0.057754 -0.102384 -0.162868 0.052635 -0.060962 0.027703 -0.004753 0.062026 0.099444 -0.072066 0.077184 -0.097131 -0.063784 -0.106875 0.134549 -0.199118 -0.028794 -0.070557 0.112787 -0.014630 0.027103 -0.043916 0.168029 0.081283 0.028598 0.142112 0.062310 -0.091109 -0.092667 0.000745 0.170587 -0.080604 -0.059430 0.094604 0.140722 -0.106599 0.162007 0.052404 -0.089429 -0.001386 0.063926 0.059099 0.014798 0.098616
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-efficient 0.031922 0.075988 0.010239 0.005404 -0.037647 -0.034866 0.148567 -0.080361 0.003450 -0.132443 -0.074738 -0.058334 0.030691 0.065822 -0.080337 0.057228 0.189940 0.014376 -0.146415 0.018190 -0.010486 -0.046705 -0.249193 -0.027199 0.036265 -0.044853 -0.176833 -0.283205 0.101439 -0.156317 -0.012600 -0.072316 0.111010 0.011507 0.153750 -0.076989 0.031666 -0.033322 -0.091430 -0.115008 0.066432 -0.081555 0.115029 -0.100172 -0.252699 -0.040198 -0.132262 -0.189651 0.229263 0.041445 -0.075858 -0.013952 -0.172576 -0.074277 0.106272 -0.097241 0.083294 0.032640 -0.114977 -0.206553 0.086376 0.078650 0.003548 -0.004846 0.081883 -0.138863 -0.046418 0.103196 0.046783 -0.056579 -0.161979 0.028380 -0.063677 -0.194536 0.180624 0.024392 0.089038 -0.021022 -0.219333 0.073712 -0.089107 -0.001797 -0.013529 0.093777 0.110326 -0.011393 -0.180541 -0.080706 0.062864 -0.008697 -0.041762 -0.020621 -0.047709 0.098689 0.002941 -0.024648 -0.013285 -0.120830 -0.001088 -0.200609 0.013266 -0.105302 0.092395 0.096490 0.017337 -0.107442 0.012596 0.111344 0.257327 0.040057 0.115831 -0.046729 0.138195 -0.007937 0.101111 -0.090526 0.014088 0.019840 -0.070898 0.146108 -0.105991 -0.131627 0.005559 0.119733 -0.100643 0.048280 0.000915 -0.122547 0.120314 0.049137 -0.101955 -0.022000 0.111456 0.066458 0.147452 0.002342 -0.040677 -0.175303 0.028514 0.011629 -0.085808 -0.013672 0.160034 -0.113000 -0.026957 0.044953 -0.181857 -0.186174 0.219899 -0.083578 0.120614 0.128741 0.026288 0.070181 0.060036 0.070459 -0.265607 -0.152180 -0.087160 0.088003 0.154316 0.126675 -0.114969 0.127811 0.070822 -0.200462 0.005784 -0.052359 -0.001953 -0.043294 0.063621 0.072799 -0.115048 0.038552 0.034782 -0.100567 -0.074810 -0.131827 -0.160023 -0.006707 -0.132209 0.059650 -0.049489 0.011369 0.050260 0.086390 -0.074549 0.134693 -0.100959 0.110092 0.173950 -0.079197 -0.128640 0.026921 0.204809 -0.051198 -0.092029 -0.015661 -0.112345 0.016087 -0.031242 -0.223520 0.022390 -0.060448 0.057870 0.006721 0.096979 0.026727 -0.089401 0.006353 -0.119250 0.105946 -0.022152 0.017690 -0.007975 0.081103 0.138242 -0.112032 0.135809 0.024210 -0.105902 0.077669 0.165127 0.200499 -0.079760 -0.035845 -0.001957 -0.188436 -0.032417 0.076059 -0.042715 -0.051630 0.010230 0.043851 -0.120252 0.134597 0.178457 0.090364 0.168540 0.048510 0.155707 0.002493 -0.155337 -0.157328 -0.005003 0.112743 0.026991 -0.123702 -0.005026 -0.013662 0.049354 -0.091914 0.009886 -0.010496 0.162053 0.057191
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