python logging refactoring and flake8 suppression refactoring

.flake8

@@ -1,4 +1,17 @@
 [flake8]
 max-line-length = 125
 ignore = E203,E211,E221,E225,E231,E241,E251,E261,E266,E501,E701,E704,W503
-exclude = examples/*,examples/*/**,*/**/__init__.py,scripts/gen-unicode-data.py,tests/test-tokenizer-0.py
+exclude =
+    # Do not traverse examples
+    examples,
+    # Do not include package initializers
+    __init__.py,
+    # No need to traverse our git directory
+    .git,
+    # There's no value in checking cache directories
+    __pycache__,
+    # No need to include the build path
+    build,
+    # This contains builds that we don't want to check
+    dist  # This is generated with `python build .` for package releases
+# max-complexity = 10

convert-hf-to-gguf-update.py

@@ -1,3 +1,5 @@
+#!/usr/bin/env python3
+
 # This script downloads the tokenizer models of the specified models from Huggingface and
 # generates the get_vocab_base_pre() function for convert-hf-to-gguf.py
 #

convert-lora-to-ggml.py

@@ -16,6 +16,7 @@
     sys.path.insert(1, str(Path(__file__).parent / 'gguf-py' / 'gguf'))
 import gguf
 
+logging.basicConfig(level=logging.DEBUG)
 logger = logging.getLogger("lora-to-gguf")
 
 NUMPY_TYPE_TO_FTYPE: dict[str, int] = {"float32": 0, "float16": 1}

scripts/gen-unicode-data.py

@@ -41,20 +41,20 @@ def get_matches(regex_expr):
 
 
 def print_cat(cat, ranges):
-    print("const std::vector<std::pair<uint32_t, uint32_t>> unicode_ranges_{} = {{".format(cat))
+    print("const std::vector<std::pair<uint32_t, uint32_t>> unicode_ranges_{} = {{".format(cat)) # noqa: NP100
     cnt = 0
     for start, end in ranges:
         if cnt % 4 != 0:
-            print(" ", end="")
-        print("{{0x{:08X}, 0x{:08X}}},".format(start, end), end="")
+            print(" ", end="") # noqa: NP100
+        print("{{0x{:08X}, 0x{:08X}}},".format(start, end), end="") # noqa: NP100
         if cnt % 4 == 3:
-            print("")
+            print("") # noqa: NP100
         cnt += 1
 
     if cnt % 4 != 0:
-        print("")
-    print("};")
-    print("")
+        print("") # noqa: NP100
+    print("};") # noqa: NP100
+    print("") # noqa: NP100
 
 
 print_cat("number",      get_matches(r'\p{N}'))

tests/test-tokenizer-0.py

@@ -13,15 +13,15 @@
 
 tokenizer = AutoTokenizer.from_pretrained(dir_tokenizer)
 
-print('tokenizing file: ', fname_tok)
+print('tokenizing file: ', fname_tok) # noqa: NP100
 fname_out = fname_tok + '.tok'
 with open(fname_tok, 'r', encoding='utf-8') as f:
     lines = f.readlines()
     s = ''.join(lines)
     t_start = time.time()
     res = tokenizer.encode(s, add_special_tokens=False)
     t_end = time.time()
-    print('\nmain : tokenized in', "{:.3f}".format(1000.0 * (t_end - t_start)), 'ms (py)')
+    print('\nmain : tokenized in', "{:.3f}".format(1000.0 * (t_end - t_start)), 'ms (py)') # noqa: NP100
     with open(fname_out, 'w', encoding='utf-8') as f:
         for x in res:
             # LLaMA v3 for some reason strips the space for these tokens (and others)
@@ -41,6 +41,6 @@
             #     f.write(str(x) + ' \'' + tokenizer.decode(x) + '\'\n')
             # f.write(str(x) + ' \'' + tokenizer.decode(x).strip() + '\'\n')
             f.write(str(x) + '\n')
-    print('len(res): ', len(res))
-    print('len(lines): ', len(lines))
-print('results written to: ', fname_out)
+    print('len(res): ', len(res)) # noqa: NP100
+    print('len(lines): ', len(lines)) # noqa: NP100
+print('results written to: ', fname_out) # noqa: NP100