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chore: bump versions (Unstructured-IO#352)
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Update versions of dependencies, including unpinning the unstructured-inference dependency that's causing conflicts in repos like pipeline-oer that want the newer version.
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qued authored Mar 14, 2023
1 parent a4726cb commit aa49462
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Showing 19 changed files with 126 additions and 178 deletions.
2 changes: 1 addition & 1 deletion requirements/base.txt
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Expand Up @@ -111,7 +111,7 @@ wrapt==1.14.1
# via
# argilla
# deprecated
xlsxwriter==3.0.8
xlsxwriter==3.0.9
# via python-pptx
zipp==3.15.0
# via importlib-metadata
2 changes: 1 addition & 1 deletion requirements/dev.txt
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Expand Up @@ -199,7 +199,7 @@ pip-tools==6.12.3
# via -r requirements/dev.in
pkgutil-resolve-name==1.3.10
# via jsonschema
platformdirs==3.1.0
platformdirs==3.1.1
# via
# jupyter-core
# virtualenv
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2 changes: 1 addition & 1 deletion requirements/huggingface.txt
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Expand Up @@ -155,7 +155,7 @@ wrapt==1.14.1
# via
# argilla
# deprecated
xlsxwriter==3.0.8
xlsxwriter==3.0.9
# via python-pptx
zipp==3.15.0
# via importlib-metadata
2 changes: 1 addition & 1 deletion requirements/ingest-github.txt
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Expand Up @@ -195,7 +195,7 @@ wrapt==1.14.1
# -r requirements/base.txt
# argilla
# deprecated
xlsxwriter==3.0.8
xlsxwriter==3.0.9
# via
# -r requirements/base.txt
# python-pptx
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2 changes: 1 addition & 1 deletion requirements/ingest-gitlab.txt
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Expand Up @@ -189,7 +189,7 @@ wrapt==1.14.1
# -r requirements/base.txt
# argilla
# deprecated
xlsxwriter==3.0.8
xlsxwriter==3.0.9
# via
# -r requirements/base.txt
# python-pptx
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2 changes: 1 addition & 1 deletion requirements/ingest-google-drive.txt
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Expand Up @@ -221,7 +221,7 @@ wrapt==1.14.1
# -r requirements/base.txt
# argilla
# deprecated
xlsxwriter==3.0.8
xlsxwriter==3.0.9
# via
# -r requirements/base.txt
# python-pptx
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2 changes: 1 addition & 1 deletion requirements/ingest-reddit.txt
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Expand Up @@ -193,7 +193,7 @@ wrapt==1.14.1
# -r requirements/base.txt
# argilla
# deprecated
xlsxwriter==3.0.8
xlsxwriter==3.0.9
# via
# -r requirements/base.txt
# python-pptx
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2 changes: 1 addition & 1 deletion requirements/ingest-s3.txt
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Expand Up @@ -221,7 +221,7 @@ wrapt==1.14.1
# aiobotocore
# argilla
# deprecated
xlsxwriter==3.0.8
xlsxwriter==3.0.9
# via
# -r requirements/base.txt
# python-pptx
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2 changes: 1 addition & 1 deletion requirements/ingest-wikipedia.txt
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Expand Up @@ -190,7 +190,7 @@ wrapt==1.14.1
# -r requirements/base.txt
# argilla
# deprecated
xlsxwriter==3.0.8
xlsxwriter==3.0.9
# via
# -r requirements/base.txt
# python-pptx
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14 changes: 5 additions & 9 deletions requirements/local-inference.txt
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Expand Up @@ -46,7 +46,7 @@ effdet==0.3.0
# via layoutparser
et-xmlfile==1.1.0
# via openpyxl
fastapi==0.93.0
fastapi==0.94.0
# via unstructured-inference
filelock==3.9.0
# via
Expand Down Expand Up @@ -84,8 +84,6 @@ iopath==0.1.10
# via layoutparser
joblib==1.2.0
# via nltk
jsons==1.6.3
# via unstructured-inference
kiwisolver==1.4.4
# via matplotlib
layoutparser[layoutmodels,tesseract]==0.3.4
Expand Down Expand Up @@ -219,7 +217,7 @@ sniffio==1.3.0
# anyio
# httpcore
# httpx
starlette==0.25.0
starlette==0.26.0.post1
# via fastapi
sympy==1.11.1
# via onnxruntime
Expand Down Expand Up @@ -256,21 +254,19 @@ typing-extensions==4.5.0
# starlette
# torch
# torchvision
typish==1.9.3
# via jsons
unstructured-inference==0.2.7
unstructured-inference==0.2.11
# via unstructured (setup.py)
urllib3==1.26.14
# via requests
uvicorn==0.20.0
uvicorn==0.21.0
# via unstructured-inference
wand==0.6.11
# via pdfplumber
wrapt==1.14.1
# via
# argilla
# deprecated
xlsxwriter==3.0.8
xlsxwriter==3.0.9
# via python-pptx
zipp==3.15.0
# via
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2 changes: 1 addition & 1 deletion requirements/test.txt
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Expand Up @@ -52,7 +52,7 @@ packaging==23.0
# pytest
pathspec==0.11.0
# via black
platformdirs==3.1.0
platformdirs==3.1.1
# via black
pluggy==1.0.0
# via pytest
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2 changes: 1 addition & 1 deletion setup.py
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Expand Up @@ -75,7 +75,7 @@
],
"local-inference": [
# NOTE(robinson) - Upper bound is temporary due to a multithreading issue
"unstructured-inference>=0.2.4,<0.2.8",
"unstructured-inference~=0.2.4",
],
"s3": ["s3fs", "fsspec"],
"azure": ["adlfs", "fsspec"],
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Expand Up @@ -216,16 +216,16 @@
}
},
{
"element_id": "a6d9e195a423f52793f2671020bc0a90",
"text": "corrosion in sulphuric acid environment. \f The data obtained for the inhibition of waste product (egg shell powder) on stainless steel Type",
"element_id": "a46f9f30a7e99da10ee392358628f902",
"text": "corrosion in sulphuric acid environment. The data obtained for the inhibition of waste product (egg shell powder) on stainless steel Type",
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},
{
"element_id": "9c27a353d941bcc3cbf8596f744b1941",
"text": "can be used as basis in determining the inhibitive performance of the same inhibitor in other environments. \f The data can be used to examine the relationship between the process variable as it affect the nature of inhibition of metals.",
"element_id": "ca7b772bc6e34f631824b746c4525650",
"text": "can be used as basis in determining the inhibitive performance of the same inhibitor in other environments. The data can be used to examine the relationship between the process variable as it affect the nature of inhibition of metals.",
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"metadata": {
"page_number": 2
Expand Down Expand Up @@ -320,8 +320,8 @@
}
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"text": "",
"element_id": "a080eedc29ff995e00faf2b0341bfa18",
"text": "ottabitse.eeeeso—«—«",
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Expand Down Expand Up @@ -352,8 +352,8 @@
}
},
{
"element_id": "3382d82decb1e5e8754d8083f5b3a916",
"text": "Inhibitor concentration (g) bc (V/dec) ba (V/dec) Ecorr (V) icorr (A/cm 2 ) Polarization resistance ( Ω ) Corrosion rate (mm/year) 0 0.0335 0.0409 \f 0.9393 0.0003 24.0910 2.8163 2 1.9460 0.0596 \f 0.8276 0.0002 121.440 1.5054 4 0.0163 0.2369 \f 0.8825 0.0001 42.121 0.9476 6 0.3233 0.0540 \f 0.8027 5.39E-05 373.180 0.4318 8 0.1240 0.0556 \f 0.5896 5.46E-05 305.650 0.3772 10 0.0382 0.0086 \f 0.5356 1.24E-05 246.080 0.0919",
"element_id": "8b206a2157155bfd11874c55924f92ee",
"text": "Inhibitor concentration (g) bc (V/dec) ba (V/dec) Ecorr (V) icorr (A/cm 2 ) Polarization resistance ( Ω ) Corrosion rate (mm/year) 0 0.0335 0.0409 0.9393 0.0003 24.0910 2.8163 2 1.9460 0.0596 0.8276 0.0002 121.440 1.5054 4 0.0163 0.2369 0.8825 0.0001 42.121 0.9476 6 0.3233 0.0540 0.8027 5.39E-05 373.180 0.4318 8 0.1240 0.0556 0.5896 5.46E-05 305.650 0.3772 10 0.0382 0.0086 0.5356 1.24E-05 246.080 0.0919",
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Expand Down Expand Up @@ -384,8 +384,8 @@
}
},
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"element_id": "36a9e7f1c95b82ffb99743e0c5c4ce95",
"text": " ",
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"page_number": 5
Expand Down Expand Up @@ -416,8 +416,8 @@
}
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Expand Down Expand Up @@ -520,8 +520,8 @@
}
},
{
"element_id": "90d8b72f086a37fbdc4f2847699a558f",
"text": "steps of the linear polarization plot are substituted to get corrosion current. Nova software was used with linear polarization resistance (LPR) and the current was set to 10 mA (maximum) and 10 nA (minimum). LSV staircase parameter start potential \f 1.5 v, step potential 0.001 m/s and stop potential of þ 1.5 v set was used in this study.",
"element_id": "7d9d3615bab6ee55d73f76fac7b87756",
"text": "steps of the linear polarization plot are substituted to get corrosion current. Nova software was used with linear polarization resistance (LPR) and the current was set to 10 mA (maximum) and 10 nA (minimum). LSV staircase parameter start potential 1.5 v, step potential 0.001 m/s and stop potential of þ 1.5 v set was used in this study.",
"type": "NarrativeText",
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"page_number": 7
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Expand Up @@ -216,16 +216,16 @@
}
},
{
"element_id": "a9232cb0e8af5f01ec54c6a83d9dc77a",
"text": "different problem instances of the MDVSP that can be used to evaluate the performance of the algorithms for the MDVSP. \f The data provide all the information that is required to model the MDVSP by using the existing mathematical formulations. \f All the problem instances are available for use without any restrictions. \f The benchmark solutions and solution time for the problem instances are presented in [",
"element_id": "ae2ec2f9015a920ca777ed80f83f9625",
"text": "different problem instances of the MDVSP that can be used to evaluate the performance of the algorithms for the MDVSP. The data provide all the information that is required to model the MDVSP by using the existing mathematical formulations. All the problem instances are available for use without any restrictions. The benchmark solutions and solution time for the problem instances are presented in [",
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"text": "] and can be used for the comparison. \f The dataset includes a program that can generate similar problem instances of different sizes.",
"element_id": "ca6a4e8ba5cd29f28afbf1be79bfe9f0",
"text": "] and can be used for the comparison. The dataset includes a program that can generate similar problem instances of different sizes.",
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"page_number": 2
Expand Down Expand Up @@ -272,8 +272,8 @@
}
},
{
"element_id": "bb713b49b45041e1177c53667bb84c09",
"text": "\f The travel time, δ ij , between any two locations i ; j A 1 ; … ; l",
"element_id": "f562440bfb37c791547df5aaf08eaf45",
"text": "The travel time, δ ij , between any two locations i ; j A 1 ; … ; l",
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"page_number": 2
Expand All @@ -296,8 +296,8 @@
}
},
{
"element_id": "068844cf2dbe972764a886ce25559a07",
"text": "A trip j can be covered after trip i by the same vehicle, if t sj t ei þ l ei l sj . If l ei l sj , the vehicle must travel empty from l ei to l sj , otherwise, the vehicle may require waiting at l ei for the duration of ð t sj \f t ei Þ . A schedule is given by the sequence in which a vehicle can cover the trips. The MDVSP is to determine the minimum number of schedules to cover all trips that minimizes total time in waiting and empty travel. The following requirements must be satis fi ed:",
"element_id": "b0db1cc87b21aa17409de37b2f6a29d8",
"text": "A trip j can be covered after trip i by the same vehicle, if t sj t ei þ l ei l sj . If l ei l sj , the vehicle must travel empty from l ei to l sj , otherwise, the vehicle may require waiting at l ei for the duration of ð t sj t ei Þ . A schedule is given by the sequence in which a vehicle can cover the trips. The MDVSP is to determine the minimum number of schedules to cover all trips that minimizes total time in waiting and empty travel. The following requirements must be satis fi ed:",
"type": "NarrativeText",
"metadata": {
"page_number": 3
Expand All @@ -320,8 +320,8 @@
}
},
{
"element_id": "f6a12c82b0cad873085545d9f03462aa",
"text": "The description of the fi le for each problem instance is presented in Table 2. The fi rst line in the fi le provides the number of depots ð m Þ , the number of trips, ð n Þ , and the number of locations ð l Þ , in the problem instance. The next n lines present the information for n trips. Each line corresponds to a trip, i A 1 ; … ; n f g , and provides the start location, the start time, the end location, and the end time of trip i The next l lines present the travel times between any two locations, i ; j A 1 ; … ; l \f \f .",
"element_id": "322b598a18278d3d39f6bf634841b89a",
"text": "The description of the fi le for each problem instance is presented in Table 2. The fi rst line in the fi le provides the number of depots ð m Þ , the number of trips, ð n Þ , and the number of locations ð l Þ , in the problem instance. The next n lines present the information for n trips. Each line corresponds to a trip, i A 1 ; … ; n f g , and provides the start location, the start time, the end location, and the end time of trip i The next l lines present the travel times between any two locations, i ; j A 1 ; … ; l .",
"type": "NarrativeText",
"metadata": {
"page_number": 3
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