





'''simple docstring'''




import copy
import os
import tempfile
from unittest import TestCase
from unittest.mock import patch

import numpy as np
import pyarrow as pa
import pyarrow.parquet as pq
import pytest

from datasets.arrow_writer import ArrowWriter, OptimizedTypedSequence, ParquetWriter, TypedSequence
from datasets.features import ArrayaD, ClassLabel, Features, Image, Value
from datasets.features.features import ArrayaDExtensionType, cast_to_python_objects
from datasets.keyhash import DuplicatedKeysError, InvalidKeyError

from .utils import require_pil







class   A_	(  lowerCAmelCase_			):




 def      lowercase	(					self       :    List[Any]    ):
      _UpperCAmelCase     							=   pa.array(TypedSequence([1, 2, 3]    )    )
      self.assertEqual(arr.type	,			pa.intaa()    )




 def      lowercase	(					self       :    Optional[Any]    ):
      with self.assertRaises(snake_case_    ):
           _UpperCAmelCase     							=   pa.array(TypedSequence([1, 2, 3]    )	,			type=pa.intaa()    )




 def      lowercase	(					self       :    Dict    ):
      with self.assertRaises(snake_case_    ):
           _UpperCAmelCase     							=   pa.array(TypedSequence([1, 2, 3]	,			try_type=Value("bool"    )	,			type=Value("int64"    )    )    )




 def      lowercase	(					self       :    str    ):
      _UpperCAmelCase     							=   pa.array(TypedSequence([1, 2, 3]	,			type=Value("int32"    )    )    )
      self.assertEqual(arr.type	,			pa.intaa()    )




 def      lowercase	(					self       :    Union[str, Any]    ):
      with self.assertRaises((TypeError, pa.lib.ArrowInvalid)    ):
           _UpperCAmelCase     							=   pa.array(TypedSequence(["foo", "bar"]	,			type=Value("int64"    )    )    )




 def      lowercase	(					self       :    int    ):
      _UpperCAmelCase     							=   pa.array(TypedSequence([1, 2, 3]	,			try_type=Value("int32"    )    )    )
      self.assertEqual(arr.type	,			pa.intaa()    )




 def      lowercase	(					self       :    Dict    ):
      _UpperCAmelCase     							=   pa.array(TypedSequence(["foo", "bar"]	,			try_type=Value("int64"    )    )    )
      self.assertEqual(arr.type	,			pa.string()    )




 def      lowercase	(					self       :    int    ):
      _UpperCAmelCase     							=   pa.array(TypedSequence([[[1, 2, 3]]]	,			type=ArrayaD((1, 3)	,			"int64"    )    )    )
      self.assertEqual(arr.type	,			ArrayaDExtensionType((1, 3)	,			"int64"    )    )




 def      lowercase	(					self       :    Dict    ):
      with self.assertRaises((TypeError, pa.lib.ArrowInvalid)    ):
           _UpperCAmelCase     							=   pa.array(TypedSequence(["foo", "bar"]	,			type=ArrayaD((1, 3)	,			"int64"    )    )    )




 def      lowercase	(					self       :    str    ):
      _UpperCAmelCase     							=   pa.array(TypedSequence([[[1, 2, 3]]]	,			try_type=ArrayaD((1, 3)	,			"int64"    )    )    )
      self.assertEqual(arr.type	,			ArrayaDExtensionType((1, 3)	,			"int64"    )    )




 def      lowercase	(					self       :    Tuple    ):
      _UpperCAmelCase     							=   pa.array(TypedSequence(["foo", "bar"]	,			try_type=ArrayaD((1, 3)	,			"int64"    )    )    )
      self.assertEqual(arr.type	,			pa.string()    )




 @require_pil
 def      lowercase	(					self       :    Optional[int]    ):
      import PIL.Image

      _UpperCAmelCase     							=   PIL.Image.fromarray(np.arange(1_0	,			dtype=np.uinta    ).reshape(2	,			5    )    )
      with patch(
          "datasets.arrow_writer.cast_to_python_objects"	,			side_effect=snake_case_    ) as mock_cast_to_python_objects:
           _UpperCAmelCase     							=   pa.array(TypedSequence([{"path": None, "bytes": b"image_bytes"}, pil_image]	,			type=Image()    )    )
           _UpperCAmelCase							,  _UpperCAmelCase     							=   mock_cast_to_python_objects.call_args_list[-1]
           self.assertIn("optimize_list_casting"	,			snake_case_    )
           self.assertFalse(kwargs["optimize_list_casting"]    )





def 	UpperCAmelCase_							(					__lowercase							:      List[str]			,     __lowercase							:      int       )		->       Tuple:


     '''simple docstring'''



     _UpperCAmelCase     							=   pa.BufferReader(__lowercase       ) if isinstance(__lowercase			,     pa.Buffer       ) else pa.memory_map(__lowercase       )
     _UpperCAmelCase     							=   pa.ipc.open_stream(__lowercase       )
     _UpperCAmelCase     							=   f.read_all()
     assert len(pa_table.to_batches()       ) == expected_num_chunks
     assert pa_table.to_pydict() == {"col_1": ["foo", "bar"], "col_2": [1, 2]}
     del pa_table
@pytest.mark.parametrize("writer_batch_size"			,     [None, 1, 10]       )
@pytest.mark.parametrize(
    "fields"			,     [None, {"col_1": pa.string(), "col_2": pa.intaa()}, {"col_1": pa.string(), "col_2": pa.intaa()}]       )
def 	UpperCAmelCase_							(					__lowercase							:      Tuple			,     __lowercase							:      int       )		->       Union[str, Any]:


     '''simple docstring'''



     _UpperCAmelCase     							=   pa.BufferOutputStream()
     _UpperCAmelCase     							=   pa.schema(__lowercase       ) if fields else None
     with ArrowWriter(stream=__lowercase			,     schema=__lowercase			,     writer_batch_size=__lowercase       ) as writer:
          writer.write({"col_1": "foo", "col_2": 1}       )
          writer.write({"col_1": "bar", "col_2": 2}       )
          _UpperCAmelCase							,  _UpperCAmelCase     							=   writer.finalize()
     assert num_examples == 2
     assert num_bytes > 0
     if not fields:
          _UpperCAmelCase     							=   {"col_1": pa.string(), "col_2": pa.intaa()}
     assert writer._schema == pa.schema(__lowercase			,     metadata=writer._schema.metadata       )
     _check_output(output.getvalue()			,     expected_num_chunks=num_examples if writer_batch_size == 1 else 1       )
def 	UpperCAmelCase_							(					)		->       Any:


     '''simple docstring'''



     _UpperCAmelCase     							=   pa.BufferOutputStream()
     _UpperCAmelCase     							=   Features({"labels": ClassLabel(names=["neg", "pos"]       )}       )
     with ArrowWriter(stream=__lowercase			,     features=__lowercase       ) as writer:
          writer.write({"labels": 0}       )
          writer.write({"labels": 1}       )
          _UpperCAmelCase							,  _UpperCAmelCase     							=   writer.finalize()
     assert num_examples == 2
     assert num_bytes > 0
     assert writer._schema == features.arrow_schema
     assert writer._schema.metadata == features.arrow_schema.metadata
     _UpperCAmelCase     							=   pa.BufferReader(output.getvalue()       )
     _UpperCAmelCase     							=   pa.ipc.open_stream(__lowercase       )
     _UpperCAmelCase     							=   f.read_all()
     _UpperCAmelCase     							=   pa_table.schema
     assert pa_table.num_rows == 2
     assert schema == features.arrow_schema
     assert schema.metadata == features.arrow_schema.metadata
     assert features == Features.from_arrow_schema(__lowercase       )
@pytest.mark.parametrize("writer_batch_size"			,     [None, 1, 10]       )
def 	UpperCAmelCase_							(					__lowercase							:      List[Any]       )		->       str:


     '''simple docstring'''



     _UpperCAmelCase     							=   pa.BufferOutputStream()
     with ArrowWriter(
         stream=__lowercase			,     writer_batch_size=__lowercase			,     hash_salt="split_name"			,     check_duplicates=__lowercase			,     ) as writer:
          with pytest.raises(__lowercase       ):
               writer.write({"col_1": "foo", "col_2": 1}			,     key=[1, 2]       )
               _UpperCAmelCase							,  _UpperCAmelCase     							=   writer.finalize()
@pytest.mark.parametrize("writer_batch_size"			,     [None, 2, 10]       )
def 	UpperCAmelCase_							(					__lowercase							:      Optional[Any]       )		->       Dict:


     '''simple docstring'''



     _UpperCAmelCase     							=   pa.BufferOutputStream()
     with ArrowWriter(
         stream=__lowercase			,     writer_batch_size=__lowercase			,     hash_salt="split_name"			,     check_duplicates=__lowercase			,     ) as writer:
          with pytest.raises(__lowercase       ):
               writer.write({"col_1": "foo", "col_2": 1}			,     key=10       )
               writer.write({"col_1": "bar", "col_2": 2}			,     key=10       )
               _UpperCAmelCase							,  _UpperCAmelCase     							=   writer.finalize()
@pytest.mark.parametrize("writer_batch_size"			,     [None, 2, 10]       )
def 	UpperCAmelCase_							(					__lowercase							:      Union[str, Any]       )		->       int:


     '''simple docstring'''



     _UpperCAmelCase     							=   pa.BufferOutputStream()
     with ArrowWriter(
         stream=__lowercase			,     writer_batch_size=__lowercase			,     hash_salt="split_name"			,     check_duplicates=__lowercase			,     ) as writer:
          writer.write({"col_1": "foo", "col_2": 1}			,     key=1       )
          writer.write({"col_1": "bar", "col_2": 2}			,     key=2       )
          _UpperCAmelCase							,  _UpperCAmelCase     							=   writer.finalize()
     assert num_examples == 2
     assert num_bytes > 0
     _check_output(output.getvalue()			,     expected_num_chunks=num_examples if writer_batch_size == 1 else 1       )
@pytest.mark.parametrize("writer_batch_size"			,     [None, 1, 10]       )
@pytest.mark.parametrize(
    "fields"			,     [None, {"col_1": pa.string(), "col_2": pa.intaa()}, {"col_1": pa.string(), "col_2": pa.intaa()}]       )
def 	UpperCAmelCase_							(					__lowercase							:      str			,     __lowercase							:      Optional[int]       )		->       Optional[int]:


     '''simple docstring'''



     _UpperCAmelCase     							=   pa.BufferOutputStream()
     _UpperCAmelCase     							=   pa.schema(__lowercase       ) if fields else None
     with ArrowWriter(stream=__lowercase			,     schema=__lowercase			,     writer_batch_size=__lowercase       ) as writer:
          writer.write_batch({"col_1": ["foo", "bar"], "col_2": [1, 2]}       )
          writer.write_batch({"col_1": [], "col_2": []}       )
          _UpperCAmelCase							,  _UpperCAmelCase     							=   writer.finalize()
     assert num_examples == 2
     assert num_bytes > 0
     if not fields:
          _UpperCAmelCase     							=   {"col_1": pa.string(), "col_2": pa.intaa()}
     assert writer._schema == pa.schema(__lowercase			,     metadata=writer._schema.metadata       )
     _check_output(output.getvalue()			,     expected_num_chunks=num_examples if writer_batch_size == 1 else 1       )
@pytest.mark.parametrize("writer_batch_size"			,     [None, 1, 10]       )
@pytest.mark.parametrize(
    "fields"			,     [None, {"col_1": pa.string(), "col_2": pa.intaa()}, {"col_1": pa.string(), "col_2": pa.intaa()}]       )
def 	UpperCAmelCase_							(					__lowercase							:      str			,     __lowercase							:      Any       )		->       Optional[int]:


     '''simple docstring'''



     _UpperCAmelCase     							=   pa.BufferOutputStream()
     _UpperCAmelCase     							=   pa.schema(__lowercase       ) if fields else None
     with ArrowWriter(stream=__lowercase			,     schema=__lowercase			,     writer_batch_size=__lowercase       ) as writer:
          writer.write_table(pa.Table.from_pydict({"col_1": ["foo", "bar"], "col_2": [1, 2]}       )       )
          _UpperCAmelCase							,  _UpperCAmelCase     							=   writer.finalize()
     assert num_examples == 2
     assert num_bytes > 0
     if not fields:
          _UpperCAmelCase     							=   {"col_1": pa.string(), "col_2": pa.intaa()}
     assert writer._schema == pa.schema(__lowercase			,     metadata=writer._schema.metadata       )
     _check_output(output.getvalue()			,     expected_num_chunks=num_examples if writer_batch_size == 1 else 1       )
@pytest.mark.parametrize("writer_batch_size"			,     [None, 1, 10]       )
@pytest.mark.parametrize(
    "fields"			,     [None, {"col_1": pa.string(), "col_2": pa.intaa()}, {"col_1": pa.string(), "col_2": pa.intaa()}]       )
def 	UpperCAmelCase_							(					__lowercase							:      Union[str, Any]			,     __lowercase							:      Tuple       )		->       Tuple:


     '''simple docstring'''



     _UpperCAmelCase     							=   pa.BufferOutputStream()
     _UpperCAmelCase     							=   pa.schema(__lowercase       ) if fields else None
     with ArrowWriter(stream=__lowercase			,     schema=__lowercase			,     writer_batch_size=__lowercase       ) as writer:
          writer.write_row(pa.Table.from_pydict({"col_1": ["foo"], "col_2": [1]}       )       )
          writer.write_row(pa.Table.from_pydict({"col_1": ["bar"], "col_2": [2]}       )       )
          _UpperCAmelCase							,  _UpperCAmelCase     							=   writer.finalize()
     assert num_examples == 2
     assert num_bytes > 0
     if not fields:
          _UpperCAmelCase     							=   {"col_1": pa.string(), "col_2": pa.intaa()}
     assert writer._schema == pa.schema(__lowercase			,     metadata=writer._schema.metadata       )
     _check_output(output.getvalue()			,     expected_num_chunks=num_examples if writer_batch_size == 1 else 1       )
def 	UpperCAmelCase_							(					)		->       Dict:


     '''simple docstring'''



     with tempfile.TemporaryDirectory() as tmp_dir:
          _UpperCAmelCase     							=   {"col_1": pa.string(), "col_2": pa.intaa()}
          _UpperCAmelCase     							=   os.path.join(__lowercase			,     "test.arrow"       )
          with ArrowWriter(path=__lowercase			,     schema=pa.schema(__lowercase       )       ) as writer:
               writer.write_batch({"col_1": ["foo", "bar"], "col_2": [1, 2]}       )
               _UpperCAmelCase							,  _UpperCAmelCase     							=   writer.finalize()
          assert num_examples == 2
          assert num_bytes > 0
          assert writer._schema == pa.schema(__lowercase			,     metadata=writer._schema.metadata       )
          _check_output(__lowercase			,     1       )
def 	UpperCAmelCase_							(					__lowercase							:      str       )		->       int:


     '''simple docstring'''



     if pa.types.is_list(__lowercase       ):
          return get_base_dtype(arr_type.value_type       )
     else:
          return arr_type
def 	UpperCAmelCase_							(					__lowercase							:      List[Any]			,     __lowercase							:      Optional[Any]       )		->       Tuple:


     '''simple docstring'''



     if isinstance(lst[0]			,     __lowercase       ):
          change_first_primitive_element_in_list(lst[0]			,     __lowercase       )
     else:
          _UpperCAmelCase     							=   value
@pytest.mark.parametrize("optimized_int_type, expected_dtype"			,     [(None, pa.intaa()), (Value("int32"       ), pa.intaa())]       )
@pytest.mark.parametrize("sequence"			,     [[1, 2, 3], [[1, 2, 3]], [[[1, 2, 3]]]]       )
def 	UpperCAmelCase_							(					__lowercase							:      Union[str, Any]			,     __lowercase							:      str			,     __lowercase							:      Dict       )		->       Optional[int]:


     '''simple docstring'''



     _UpperCAmelCase     							=   pa.array(TypedSequence(__lowercase			,     optimized_int_type=__lowercase       )       )
     assert get_base_dtype(arr.type       ) == expected_dtype
@pytest.mark.parametrize(
    "col, expected_dtype"			,     [
        ("attention_mask", pa.inta()),
        ("special_tokens_mask", pa.inta()),
        ("token_type_ids", pa.inta()),
        ("input_ids", pa.intaa()),
        ("other", pa.intaa()),
    ]			,     )
@pytest.mark.parametrize("sequence"			,     [[1, 2, 3], [[1, 2, 3]], [[[1, 2, 3]]]]       )
def 	UpperCAmelCase_							(					__lowercase							:      Dict			,     __lowercase							:      List[Any]			,     __lowercase							:      List[Any]       )		->       Tuple:


     '''simple docstring'''



     _UpperCAmelCase     							=   pa.array(OptimizedTypedSequence(__lowercase			,     col=__lowercase       )       )
     assert get_base_dtype(arr.type       ) == expected_dtype

     # not in range
     if col != "other":
          # avoids errors due to in-place modifications
          _UpperCAmelCase     							=   copy.deepcopy(__lowercase       )
          _UpperCAmelCase     							=   np.iinfo(expected_dtype.to_pandas_dtype()       ).max + 1
          change_first_primitive_element_in_list(__lowercase			,     __lowercase       )
          _UpperCAmelCase     							=   pa.array(OptimizedTypedSequence(__lowercase			,     col=__lowercase       )       )
          assert get_base_dtype(arr.type       ) == pa.intaa()
@pytest.mark.parametrize("raise_exception"			,     [False, True]       )
def 	UpperCAmelCase_							(					__lowercase							:      List[Any]			,     __lowercase							:      Tuple       )		->       str:


     '''simple docstring'''



     _UpperCAmelCase     							=   str(tmp_path / "dataset-train.arrow"       )
     try:
          with ArrowWriter(path=__lowercase       ) as writer:
               if raise_exception:
                    raise pa.lib.ArrowInvalid()
               else:
                    writer.stream.close()
     except pa.lib.ArrowInvalid:
          pass
     finally:
          assert writer.stream.closed
def 	UpperCAmelCase_							(					__lowercase							:      str       )		->       Union[str, Any]:


     '''simple docstring'''



     _UpperCAmelCase     							=   "mock://dataset-train.arrow"
     with ArrowWriter(path=__lowercase			,     storage_options=mockfs.storage_options       ) as writer:
          assert isinstance(writer._fs			,     type(__lowercase       )       )
          assert writer._fs.storage_options == mockfs.storage_options
          writer.write({"col_1": "foo", "col_2": 1}       )
          writer.write({"col_1": "bar", "col_2": 2}       )
          _UpperCAmelCase							,  _UpperCAmelCase     							=   writer.finalize()
     assert num_examples == 2
     assert num_bytes > 0
     assert mockfs.exists(__lowercase       )
def 	UpperCAmelCase_							(					)		->       str:


     '''simple docstring'''



     _UpperCAmelCase     							=   pa.BufferOutputStream()
     with ParquetWriter(stream=__lowercase       ) as writer:
          writer.write({"col_1": "foo", "col_2": 1}       )
          writer.write({"col_1": "bar", "col_2": 2}       )
          _UpperCAmelCase							,  _UpperCAmelCase     							=   writer.finalize()
     assert num_examples == 2
     assert num_bytes > 0
     _UpperCAmelCase     							=   pa.BufferReader(output.getvalue()       )
     _UpperCAmelCase     							=   pq.read_table(__lowercase       )
     assert pa_table.to_pydict() == {"col_1": ["foo", "bar"], "col_2": [1, 2]}
@require_pil
@pytest.mark.parametrize("embed_local_files"			,     [False, True]       )
def 	UpperCAmelCase_							(					__lowercase							:      str			,     __lowercase							:      str       )		->       Tuple:


     '''simple docstring'''



     import PIL.Image

     _UpperCAmelCase     							=   str(tmp_path / "test_image_rgb.jpg"       )
     PIL.Image.fromarray(np.zeros((5, 5)			,     dtype=np.uinta       )       ).save(__lowercase			,     format="png"       )
     _UpperCAmelCase     							=   pa.BufferOutputStream()
     with ParquetWriter(
         stream=__lowercase			,     features=Features({"image": Image()}       )			,     embed_local_files=__lowercase       ) as writer:
          writer.write({"image": image_path}       )
          writer.finalize()
     _UpperCAmelCase     							=   pa.BufferReader(output.getvalue()       )
     _UpperCAmelCase     							=   pq.read_table(__lowercase       )
     _UpperCAmelCase     							=   pa_table.to_pydict()
     if embed_local_files:
          assert isinstance(out["image"][0]["path"]			,     __lowercase       )
          with open(__lowercase			,     "rb"       ) as f:
               assert out["image"][0]["bytes"] == f.read()
     else:
          assert out["image"][0]["path"] == image_path
          assert out["image"][0]["bytes"] is None






def 	UpperCAmelCase_							(					)		->       str:


     '''simple docstring'''



     _UpperCAmelCase     							=   pa.schema([pa.field("col_1"			,     pa.string()			,     nullable=__lowercase       )]       )
     _UpperCAmelCase     							=   pa.BufferOutputStream()
     with ArrowWriter(stream=__lowercase       ) as writer:
          writer._build_writer(inferred_schema=__lowercase       )
          assert writer._schema == pa.schema([pa.field("col_1"			,     pa.string()       )]       )











'''simple docstring'''




def 	UpperCAmelCase_							(					__lowercase							:      int       )		->       int:


     '''simple docstring'''



     if not isinstance(__lowercase			,     __lowercase       ) or number < 0:
          raise ValueError("Input must be a non-negative integer"       )

     _UpperCAmelCase     							=   0
     while number:
          # This way we arrive at next set bit (next 1) instead of looping
          # through each bit and checking for 1s hence the
          # loop won't run 32 times it will only run the number of `1` times
          number &= number - 1
          count += 1
     return count


if __name__ == "__main__":
  import doctest

  doctest.testmod()




