search

uber / petastorm

Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.
Apache License 2.0
1.78k stars 285 forks source link

Use py3.9 for all CI tests, except one that uses 3.7 #697

Closed selitvin closed 3 years ago

selitvin commented 3 years ago

Renamed config action names to better describe versions in the build.

codecov[bot] commented 3 years ago

Codecov Report

Merging #697 (6a552ed) into master (4ac7afb) will increase coverage by 0.22%. The diff coverage is n/a.

Impacted file tree graph

@@            Coverage Diff             @@
##           master     #697      +/-   ##
==========================================
+ Coverage   85.93%   86.16%   +0.22%     
==========================================
  Files          84       84              
  Lines        4957     5045      +88     
  Branches      788      788              
==========================================
+ Hits         4260     4347      +87     
- Misses        558      559       +1     
  Partials      139      139
Impacted Files Coverage Δ
petastorm/workers_pool/exec_in_new_process.py 100.00% <ø> (ø)
setup.py 0.00% <ø> (ø)
petastorm/cache.py 100.00% <0.00%> (ø)
petastorm/selectors.py 100.00% <0.00%> (ø)
examples/mnist/tests/conftest.py 100.00% <0.00%> (ø)
petastorm/benchmark/dummy_reader.py 0.00% <0.00%> (ø)
examples/mnist/tests/test_tf_mnist.py 100.00% <0.00%> (ø)
..._dataset_converter/tests/test_converter_example.py 100.00% <0.00%> (ø)
petastorm/hdfs/tests/test_hdfs_namenode.py 99.65% <0.00%> (+<0.01%) :arrow_up:
petastorm/hdfs/namenode.py 96.32% <0.00%> (+0.02%) :arrow_up:
... and 22 more

Continue to review full report at Codecov.

Legend - Click here to learn more Δ = absolute <relative> (impact), ø = not affected, ? = missing data Powered by Codecov. Last update 4ac7afb...6a552ed. Read the comment docs.