Comments (7)
We are updating Python version to 3.10 which is in progress. Once update is introduced officially, we will update PyPI publish job to include Python 3.10. Thank you for bringing this up.
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Python 3.10 support is introduced in TFDV 1.14.0 release. Please let us know if you face any issues in TFDV installation. Thank you!
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@singhniraj08 I resolved it.
I was using miniconda to manage to my python version, but after switching to pyenv it worked.
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Closing this due to inactivity. Please take a look into the answers provided above, feel free to reopen and post your comments(if you still have queries on this). Thank you!
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Re-opening this @singhniraj08, pip install tensorflow-data-validation==0.14.0
does not work with Python 3.10 because it hasn't been published to pypi: https://pypi.org/project/tensorflow-data-validation/
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@masonkirchner, I tried installing Tensorflow data validation with Python 3.10 and it works without any issues. Can you try the same on your end any let us know if you face any issues. Thank you!
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It's not working on my Macbook. I built the library using the docker build in the readme, but I couldn't install the .whl either.
I've been trying to get the non-docker build to work, but running into errors while building.
./lib/findprog-in.c:137:25: error: call to undeclared function 'eaccess'; ISO C99 and later do not support implicit function declarations [-Wimplicit-function-declaration]
if (eaccess (progpathname, X_OK) == 0)
^
./lib/findprog-in.c:137:25: note: did you mean 'access'?
/Applications/Xcode.app/Contents/Developer/Platforms/MacOSX.platform/Developer/SDKs/MacOSX.sdk/usr/include/unistd.h:431:6: note: 'access' declared here
int access(const char *, int);
^
./lib/findprog-in.c:211:21: error: call to undeclared function 'eaccess'; ISO C99 and later do not support implicit function declarations [-Wimplicit-function-declaration]
if (eaccess (progpathname, X_OK) == 0)
(see expanded logs in gist)
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Related Issues (20)
- Support for manual numerical distribution constraints in schema/anomalies HOT 5
- Dependency Issues HOT 4
- Dipslay schema and stats in dashboard HOT 2
- The potential security vulnerability on the joblib library HOT 2
- hot key issue HOT 4
- The latest numpy release 1.24.0 broke TFDV HOT 3
- Support for statistics of discrete numerical data HOT 4
- Installation of tensorflow data validation still failing for mac m1/m2 chips HOT 3
- Request to update source distributions in pypi repository HOT 3
- Error building data-validation HOT 5
- Remove pyarrow dependency upper bound cap HOT 1
- Error installing tensorflow_data_validation HOT 7
- Descriptor can not be created directly
- Lack of understandable documentation for Custom Data Validation HOT 6
- Use all the CPU available on a single node for `generate_statistics_from_tfrecord` HOT 4
- EVA HOT 3
- Update pyarrow version range to address vulnerability CVE-2023-47248 HOT 3
- Installation of tensorflow data validation still failing for mac m2 chips? HOT 1
- Upgrade pandas version HOT 2
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