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Running
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CPU Upgrade
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pin requirements.txt
Browse filesThis PR pins the requirements for this app. Initially, this was done to fix an issue with merging two DataFrames (which broke because of an API change in Pandas). Adding pinned requirements should also protect against future breaks due to library changes.
The requirements lock was generated using the [pip-tools](https://github.com/jazzband/pip-tools) `pip-compile` command against a `requirements.in` file with the following content:
```
datasets
plotly
matplotlib
pandas<=1.5.3
```
To update this in the future, you can install pip-tools and run `pip-compile --resolver=backtracking`
- requirements.txt +120 -3
requirements.txt
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@@ -1,3 +1,120 @@
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#
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# This file is autogenerated by pip-compile with Python 3.8
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# by the following command:
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#
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# pip-compile --resolver=backtracking
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#
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aiohttp==3.8.4
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# via
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# datasets
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# fsspec
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aiosignal==1.3.1
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# via aiohttp
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async-timeout==4.0.2
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# via aiohttp
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attrs==23.1.0
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# via aiohttp
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certifi==2023.5.7
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# via requests
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charset-normalizer==3.1.0
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# via
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# aiohttp
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# requests
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contourpy==1.1.0
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# via matplotlib
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cycler==0.11.0
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# via matplotlib
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datasets==2.13.1
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# via -r requirements.in
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dill==0.3.6
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# via
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# datasets
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# multiprocess
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filelock==3.12.2
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# via huggingface-hub
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fonttools==4.40.0
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# via matplotlib
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frozenlist==1.3.3
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# via
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# aiohttp
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# aiosignal
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fsspec[http]==2023.6.0
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# via
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# datasets
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# huggingface-hub
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huggingface-hub==0.15.1
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# via datasets
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idna==3.4
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# via
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# requests
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# yarl
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importlib-resources==5.12.0
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# via matplotlib
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kiwisolver==1.4.4
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# via matplotlib
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matplotlib==3.7.1
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# via -r requirements.in
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multidict==6.0.4
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# via
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# aiohttp
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# yarl
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multiprocess==0.70.14
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# via datasets
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numpy==1.24.4
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# via
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# contourpy
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# datasets
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# matplotlib
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# pandas
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# pyarrow
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packaging==23.1
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# via
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# datasets
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# huggingface-hub
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# matplotlib
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# plotly
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pandas==1.5.3
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# via
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# -r requirements.in
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# datasets
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pillow==10.0.0
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# via matplotlib
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plotly==5.15.0
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# via -r requirements.in
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pyarrow==12.0.1
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# via datasets
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pyparsing==3.1.0
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# via matplotlib
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python-dateutil==2.8.2
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# via
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# matplotlib
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# pandas
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pytz==2023.3
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# via pandas
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pyyaml==6.0
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# via
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# datasets
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# huggingface-hub
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requests==2.31.0
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# via
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# datasets
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# fsspec
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# huggingface-hub
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six==1.16.0
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# via python-dateutil
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tenacity==8.2.2
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# via plotly
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tqdm==4.65.0
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# via
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# datasets
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# huggingface-hub
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typing-extensions==4.7.1
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# via huggingface-hub
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urllib3==2.0.3
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# via requests
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xxhash==3.2.0
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# via datasets
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yarl==1.9.2
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# via aiohttp
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zipp==3.15.0
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# via importlib-resources
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