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Support for recursive datatypes #866

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Support for recursive datatypes #866

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6f74eb0
new mypy version released n support for recursive datatype
abhi-glitchhg Oct 28, 2022
1713a61
small change
abhi-glitchhg Oct 28, 2022
fccb7c3
letsee
abhi-glitchhg Oct 28, 2022
1e60919
lets go with 0.981 rn
abhi-glitchhg Oct 28, 2022
14097bd
added --install-types flag in ci to install missing package stubs
abhi-glitchhg Oct 29, 2022
459a1a9
enable recursive aliases
abhi-glitchhg Nov 7, 2022
115d17a
supress the warning
abhi-glitchhg Nov 8, 2022
5765f6c
Update .github/workflows/lint.yml
abhi-glitchhg Nov 10, 2022
27e3c2d
Merge branch 'main' into recursive_datatype
abhi-glitchhg Oct 25, 2023
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2 changes: 1 addition & 1 deletion .github/workflows/lint.yml
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Expand Up @@ -53,7 +53,7 @@ jobs:
pip3 install --pre torch -f "${{ steps.pytorch_channel.outputs.value }}"
- name: Install dependencies
run: |
pip3 install requests mypy==0.812 graphviz numpy
pip3 install requests mypy==0.981 graphviz numpy
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- name: Build TorchData
run: |
python setup.py develop
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2 changes: 1 addition & 1 deletion torchdata/datapipes/iter/util/tfrecordloader.py
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Expand Up @@ -45,7 +45,7 @@ def prod(xs):
# Note, reccursive types not supported by mypy at the moment
# TODO(640): uncomment as soon as it becomes supported
# https://github.com/python/mypy/issues/731
# BinaryData = Union[str, List['BinaryData']]
BinaryData = Union[str, List['BinaryData']]
TFRecordBinaryData = Union[str, List[str], List[List[str]], List[List[List[Any]]]]
TFRecordExampleFeature = Union[torch.Tensor, List[torch.Tensor], TFRecordBinaryData]
TFRecordExample = Dict[str, TFRecordExampleFeature]
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