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[Python] Add missing docstrings to Cython functions #37217

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danepitkin opened this issue Aug 16, 2023 · 0 comments · Fixed by #37218
Closed

[Python] Add missing docstrings to Cython functions #37217

danepitkin opened this issue Aug 16, 2023 · 0 comments · Fixed by #37218

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@danepitkin
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Describe the bug, including details regarding any error messages, version, and platform.

The Cython 3.0.0 upgrade #37097 is failing to generate numpydocs. There are missing docstrings for many functions that were going unreported before. Let's fix them in a separate PR due to the volume.

Example here https://github.com/apache/arrow/actions/runs/5868446229/job/15911310413?pr=37097:

INFO:archery:Running Python docstring linters

pyarrow._compute.Expression.equals
-> pyarrow._compute.Expression.equals(self, Expression other)
PR01: Parameters {'other'} not documented

pyarrow.gandiva.TreeExprBuilder.make_or
-> pyarrow.gandiva.TreeExprBuilder.make_or(self, children)
PR01: Parameters {'children'} not documented

pyarrow.gandiva.TreeExprBuilder.make_literal
-> pyarrow.gandiva.TreeExprBuilder.make_literal(self, value, dtype)
PR01: Parameters {'dtype', 'value'} not documented

pyarrow.gandiva.TreeExprBuilder.make_in_expression
-> pyarrow.gandiva.TreeExprBuilder.make_in_expression(self, Node node, values, dtype)
PR01: Parameters {'node', 'dtype', 'values'} not documented

pyarrow.gandiva.TreeExprBuilder.make_if
-> pyarrow.gandiva.TreeExprBuilder.make_if(self, Node condition, Node this_node, Node else_node, DataType return_type)
PR01: Parameters {'return_type', 'condition', 'this_node', 'else_node'} not documented

pyarrow.gandiva.TreeExprBuilder.make_function
-> pyarrow.gandiva.TreeExprBuilder.make_function(self, name, children, DataType return_type)
PR01: Parameters {'return_type', 'children', 'name'} not documented

pyarrow.gandiva.TreeExprBuilder.make_field
-> pyarrow.gandiva.TreeExprBuilder.make_field(self, Field field)
PR01: Parameters {'field'} not documented

pyarrow.gandiva.TreeExprBuilder.make_expression
-> pyarrow.gandiva.TreeExprBuilder.make_expression(self, Node root_node, Field return_field)
PR01: Parameters {'return_field', 'root_node'} not documented

pyarrow.gandiva.TreeExprBuilder.make_condition
-> pyarrow.gandiva.TreeExprBuilder.make_condition(self, Node condition)
PR01: Parameters {'condition'} not documented

pyarrow.gandiva.TreeExprBuilder.make_and
-> pyarrow.gandiva.TreeExprBuilder.make_and(self, children)
PR01: Parameters {'children'} not documented

pyarrow.gandiva.Projector.evaluate
-> pyarrow.gandiva.Projector.evaluate(self, RecordBatch batch, SelectionVector selection=None)
PR01: Parameters {'selection', 'batch'} not documented

pyarrow.gandiva.Filter.evaluate
-> pyarrow.gandiva.Filter.evaluate(self, RecordBatch batch, MemoryPool pool, dtype=u'int32')
PR01: Parameters {'dtype', 'batch', 'pool'} not documented

pyarrow._dataset.Partitioning.parse
-> pyarrow._dataset.Partitioning.parse(self, path)
PR01: Parameters {'path'} not documented

pyarrow._dataset_parquet.ParquetReadOptions.equals
-> pyarrow._dataset_parquet.ParquetReadOptions.equals(self, ParquetReadOptions other)
PR01: Parameters {'other'} not documented

pyarrow._dataset_parquet.ParquetFragmentScanOptions.equals
-> pyarrow._dataset_parquet.ParquetFragmentScanOptions.equals(self, ParquetFragmentScanOptions other)
PR01: Parameters {'other'} not documented

pyarrow._dataset_parquet.ParquetFileWriteOptions.update
-> pyarrow._dataset_parquet.ParquetFileWriteOptions.update(self, **kwargs)
PR01: Parameters {'**kwargs'} not documented

pyarrow._dataset_parquet.ParquetFileFormat.make_write_options
-> pyarrow._dataset_parquet.ParquetFileFormat.make_write_options(self, **kwargs)
PR01: Parameters {'**kwargs'} not documented

pyarrow._dataset_parquet.ParquetFileFormat.equals
-> pyarrow._dataset_parquet.ParquetFileFormat.equals(self, ParquetFileFormat other)
PR01: Parameters {'other'} not documented

pyarrow._dataset_orc.OrcFileFormat.equals
-> pyarrow._dataset_orc.OrcFileFormat.equals(self, OrcFileFormat other)
PR01: Parameters {'other'} not documented

pyarrow._dataset.JsonFragmentScanOptions.equals
-> pyarrow._dataset.JsonFragmentScanOptions.equals(self, JsonFragmentScanOptions other)
PR01: Parameters {'other'} not documented

pyarrow._dataset.JsonFileFormat.equals
-> pyarrow._dataset.JsonFileFormat.equals(self, JsonFileFormat other)
PR01: Parameters {'other'} not documented

pyarrow._dataset.IpcFileFormat.make_write_options
-> pyarrow._dataset.IpcFileFormat.make_write_options(self, **kwargs)
PR01: Parameters {'**kwargs'} not documented

pyarrow._dataset.IpcFileFormat.equals
-> pyarrow._dataset.IpcFileFormat.equals(self, IpcFileFormat other)
PR01: Parameters {'other'} not documented

pyarrow._dataset.type.FileSystemDataset.from_paths
-> pyarrow._dataset.FileSystemDataset.from_paths(cls, paths, schema=None, format=None, filesystem=None, partitions=None, root_partition=None)
PR01: Parameters {'format', 'filesystem', 'root_partition', 'schema', 'partitions'} not documented

pyarrow._compute.Expression.equals
-> pyarrow._compute.Expression.equals(self, Expression other)
PR01: Parameters {'other'} not documented

pyarrow._dataset.CsvFragmentScanOptions.equals
-> pyarrow._dataset.CsvFragmentScanOptions.equals(self, CsvFragmentScanOptions other)
PR01: Parameters {'other'} not documented

pyarrow._dataset.CsvFileFormat.make_write_options
-> pyarrow._dataset.CsvFileFormat.make_write_options(self, **kwargs)
PR01: Parameters {'**kwargs'} not documented

pyarrow._dataset.CsvFileFormat.equals
-> pyarrow._dataset.CsvFileFormat.equals(self, CsvFileFormat other)
PR01: Parameters {'other'} not documented

pyarrow._json.ReadOptions.equals
-> pyarrow._json.ReadOptions.equals(self, ReadOptions other)
PR01: Parameters {'other'} not documented

pyarrow._json.ParseOptions.equals
-> pyarrow._json.ParseOptions.equals(self, ParseOptions other)
PR01: Parameters {'other'} not documented

pyarrow._fs.FileSystem.equals
-> pyarrow._fs.FileSystem.equals(self, FileSystem other)
PR01: Parameters {'other'} not documented

pyarrow._s3fs.S3LogLevel
-> pyarrow._s3fs.An enumeration.
PR01: Parameters {'value', 'names', 'module', 'qualname', 'start', 'type'} not documented

pyarrow._fs.FileType
-> pyarrow._fs.An enumeration.
PR01: Parameters {'value', 'names', 'module', 'qualname', 'start', 'type'} not documented

pyarrow.lib.MetadataVersion
-> pyarrow.lib.An enumeration.
PR01: Parameters {'value', 'names', 'module', 'qualname', 'start', 'type'} not documented

pyarrow.lib.DataType.field
-> pyarrow.lib.DataType.field(self, i) -> Field
PR01: Parameters {'i'} not documented

pyarrow.lib.Scalar.equals
-> pyarrow.lib.Scalar.equals(self, Scalar other)
PR01: Parameters {'other'} not documented

pyarrow.lib.Array.format
-> pyarrow.lib.Array.format(self, **kwargs)
PR01: Parameters {'**kwargs'} not documented

pyarrow.lib.Array.equals
-> pyarrow.lib.Array.equals(self, Array other)
PR01: Parameters {'other'} not documented

pyarrow.lib.UnionArray.child
-> pyarrow.lib.UnionArray.child(self, int pos)
PR01: Parameters {'pos'} not documented

pyarrow.lib.NativeFile.writelines
-> pyarrow.lib.NativeFile.writelines(self, lines)
PR01: Parameters {'lines'} not documented

pyarrow.lib.NativeFile.read_buffer
-> pyarrow.lib.NativeFile.read_buffer(self, nbytes=None)
PR01: Parameters {'nbytes'} not documented

pyarrow.lib.SparseCSRMatrix.dim_name
-> pyarrow.lib.SparseCSRMatrix.dim_name(self, i)
PR01: Parameters {'i'} not documented

pyarrow.lib.type.SparseCSFTensor.from_dense_numpy
-> pyarrow.lib.SparseCSFTensor.from_dense_numpy(cls, obj, dim_names=None)
PR01: Parameters {'dim_names', 'obj'} not documented

pyarrow.lib.SparseCSFTensor.dim_name
-> pyarrow.lib.SparseCSFTensor.dim_name(self, i)
PR01: Parameters {'i'} not documented

pyarrow.lib.type.SparseCSCMatrix.from_dense_numpy
-> pyarrow.lib.SparseCSCMatrix.from_dense_numpy(cls, obj, dim_names=None)
PR01: Parameters {'dim_names', 'obj'} not documented

pyarrow.lib.SparseCSCMatrix.dim_name
-> pyarrow.lib.SparseCSCMatrix.dim_name(self, i)
PR01: Parameters {'i'} not documented

pyarrow.lib.type.SparseCOOTensor.from_dense_numpy
-> pyarrow.lib.SparseCOOTensor.from_dense_numpy(cls, obj, dim_names=None)
PR01: Parameters {'dim_names', 'obj'} not documented

pyarrow.lib.SparseCOOTensor.dim_name
-> pyarrow.lib.SparseCOOTensor.dim_name(self, i)
PR01: Parameters {'i'} not documented

pyarrow.lib.PythonFile.truncate
-> pyarrow.lib.PythonFile.truncate(self, pos=None)
PR01: Parameters {'pos'} not documented

pyarrow.lib.PythonFile.readlines
-> pyarrow.lib.PythonFile.readlines(self, hint=None)
PR01: Parameters {'hint'} not documented

pyarrow.lib.PythonFile.readline
-> pyarrow.lib.PythonFile.readline(self, size=None)
PR01: Parameters {'size'} not documented

pyarrow.lib.MetadataVersion
-> pyarrow.lib.An enumeration.
PR01: Parameters {'value', 'names', 'module', 'qualname', 'start', 'type'} not documented

pyarrow.lib.KeyValueMetadata.value
-> pyarrow.lib.KeyValueMetadata.value(self, i)
PR01: Parameters {'i'} not documented

pyarrow.lib.KeyValueMetadata.key
-> pyarrow.lib.KeyValueMetadata.key(self, i)
PR01: Parameters {'i'} not documented

pyarrow.lib.KeyValueMetadata.get_all
-> pyarrow.lib.KeyValueMetadata.get_all(self, key)
PR01: Parameters {'key'} not documented

pyarrow.lib.KeyValueMetadata.equals
-> pyarrow.lib.KeyValueMetadata.equals(self, KeyValueMetadata other)
PR01: Parameters {'other'} not documented

pyarrow.lib.FixedSizeBufferWriter.set_memcopy_threshold
-> pyarrow.lib.FixedSizeBufferWriter.set_memcopy_threshold(self, int64_t threshold)
PR01: Parameters {'threshold'} not documented

pyarrow.lib.FixedSizeBufferWriter.set_memcopy_threads
-> pyarrow.lib.FixedSizeBufferWriter.set_memcopy_threads(self, int num_threads)
PR01: Parameters {'num_threads'} not documented

pyarrow.lib.FixedSizeBufferWriter.set_memcopy_blocksize
-> pyarrow.lib.FixedSizeBufferWriter.set_memcopy_blocksize(self, int64_t blocksize)
PR01: Parameters {'blocksize'} not documented

pyarrow.lib.ChunkedArray.format
-> pyarrow.lib.ChunkedArray.format(self, **kwargs)
PR01: Parameters {'**kwargs'} not documented

pyarrow._parquet.ParquetReader.set_use_threads
-> pyarrow._parquet.ParquetReader.set_use_threads(self, bool use_threads)
PR01: Parameters {'use_threads'} not documented

pyarrow._parquet.ParquetReader.set_batch_size
-> pyarrow._parquet.ParquetReader.set_batch_size(self, int64_t batch_size)
PR01: Parameters {'batch_size'} not documented

pyarrow._parquet.ParquetReader.scan_contents
-> pyarrow._parquet.ParquetReader.scan_contents(self, column_indices=None, batch_size=65536)
PR01: Parameters {'batch_size', 'column_indices'} not documented

pyarrow._parquet.ParquetReader.read_row_groups
-> pyarrow._parquet.ParquetReader.read_row_groups(self, row_groups, column_indices=None, bool use_threads=True)
PR01: Parameters {'column_indices', 'row_groups', 'use_threads'} not documented

pyarrow._parquet.ParquetReader.read_row_group
-> pyarrow._parquet.ParquetReader.read_row_group(self, int i, column_indices=None, bool use_threads=True)
PR01: Parameters {'i', 'column_indices', 'use_threads'} not documented

pyarrow._parquet.ParquetReader.read_column
-> pyarrow._parquet.ParquetReader.read_column(self, int column_index)
PR01: Parameters {'column_index'} not documented

pyarrow._parquet.ParquetReader.read_all
-> pyarrow._parquet.ParquetReader.read_all(self, column_indices=None, bool use_threads=True)
PR01: Parameters {'column_indices', 'use_threads'} not documented

pyarrow._parquet.ParquetReader.open
-> pyarrow._parquet.ParquetReader.open(self, source, *, bool use_memory_map=False, read_dictionary=None, FileMetaData metadata=None, int buffer_size=0, bool pre_buffer=False, coerce_int96_timestamp_unit=None, FileDecryptionProperties decryption_properties=None, thrift_string_size_limit=None, thrift_container_size_limit=None)
PR01: Parameters {'thrift_string_size_limit', 'use_memory_map', 'thrift_container_size_limit', 'pre_buffer', 'source', 'read_dictionary', 'metadata', 'decryption_properties', 'buffer_size', 'coerce_int96_timestamp_unit'} not documented

pyarrow._parquet.ParquetReader.iter_batches
-> pyarrow._parquet.ParquetReader.iter_batches(self, int64_t batch_size, row_groups, column_indices=None, bool use_threads=True)
PR01: Parameters {'row_groups', 'use_threads', 'batch_size', 'column_indices'} not documented

pyarrow._csv.ReadOptions.equals
-> pyarrow._csv.ReadOptions.equals(self, ReadOptions other)
PR01: Parameters {'other'} not documented

pyarrow._csv.ParseOptions.equals
-> pyarrow._csv.ParseOptions.equals(self, ParseOptions other)
PR01: Parameters {'other'} not documented

pyarrow._csv.ConvertOptions.equals
-> pyarrow._csv.ConvertOptions.equals(self, ConvertOptions other)
PR01: Parameters {'other'} not documented

Total number of docstring violations: 72

Component(s)

Python

kou added a commit that referenced this issue Aug 18, 2023
### Rationale for this change

The Cython 3.0.0 upgrade #37097 is triggering numpydoc errors for these missing docstrings.

### What changes are included in this PR?

* Docstrings added to Cython functions that omitted them

### Are these changes tested?

Yes, locally.

### Are there any user-facing changes?

User-facing documentation is added.
* Closes: #37217

Lead-authored-by: Dane Pitkin <[email protected]>
Co-authored-by: Dane Pitkin <[email protected]>
Co-authored-by: Alenka Frim <[email protected]>
Co-authored-by: Sutou Kouhei <[email protected]>
Signed-off-by: Sutou Kouhei <[email protected]>
@kou kou added this to the 14.0.0 milestone Aug 18, 2023
loicalleyne pushed a commit to loicalleyne/arrow that referenced this issue Nov 13, 2023
### Rationale for this change

The Cython 3.0.0 upgrade apache#37097 is triggering numpydoc errors for these missing docstrings.

### What changes are included in this PR?

* Docstrings added to Cython functions that omitted them

### Are these changes tested?

Yes, locally.

### Are there any user-facing changes?

User-facing documentation is added.
* Closes: apache#37217

Lead-authored-by: Dane Pitkin <[email protected]>
Co-authored-by: Dane Pitkin <[email protected]>
Co-authored-by: Alenka Frim <[email protected]>
Co-authored-by: Sutou Kouhei <[email protected]>
Signed-off-by: Sutou Kouhei <[email protected]>
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