Comments (4)
It's to fix errors from GitHub actions.
You can change the version requirement as long as it does not cause issues for you.
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Thanks, @csukuangfj, the problem comes with the fact that I'm working in a docker container that's built upon my DockerFile that includes a line like RUN pip install --no-cache-dir -r requirements.txt
and lhotse
pulls lilcom
and lilcom dumps numpy
version that I want to be 1.23
. Is there any way how the problem can be solved by removing this restriction somehow, I will do it myself if you share some context with me, what do you think?
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Is there any way how the problem can be solved by removing this restriction somehow
The constraint is added in #37
You can replace
Lines 46 to 49 in 6860da1
with
"numpy"
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Closed by #52
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Related Issues (20)
- Release HOT 4
- Testing multi-platform reproducibility HOT 1
- Big-endian system test HOT 2
- Bug: Fresh installation is missing numpy HOT 13
- liblto_plugin.so not found HOT 2
- In file included from lilcom/lilcom_extension.cc:15: In file included from lilcom/compression.h:6: lilcom/int_stream.h:7:10: fatal error: 'vector' file not found #include <vector> ^~~~~~~~ 1 error generated. error: command 'gcc' failed with exit status 1 HOT 15
- lilcom fails to compress Fortran contiguous arrays. HOT 1
- Speeding up lilcom decompression HOT 2
- Compression fails on non-contigous feats HOT 2
- Protocol "https" not supported or disabled in libcurl HOT 2
- Error when installing lhotse HOT 1
- Issue installing HOT 10
- can't be installed HOT 5
- Build lilcom failed. Please check the error message. -- solved! HOT 4
- ValueError: lilcom: Length of string was too short HOT 7
- Error when installing lhotse HOT 4
- Import issues after upgrading to version 1.6 HOT 5
- requirements, why? HOT 2
- Does not work with python 3.12
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