




"""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 					__magic_name__							( UpperCAmelCase__       ):






				'''simple docstring'''





				def      _lowerCAmelCase       ( self				):





							"""simple docstring"""
							lowerCamelCase       =      pa.array(TypedSequence([1, 2, 3]				)				)
							self.assertEqual(arr.type	,				pa.intaa()				)





				def      _lowerCAmelCase       ( self				):





							"""simple docstring"""
							with self.assertRaises(_a				):
										lowerCamelCase       =      pa.array(TypedSequence([1, 2, 3]				)	,				type=pa.intaa()				)





				def      _lowerCAmelCase       ( self				):





							"""simple docstring"""
							with self.assertRaises(_a				):
										lowerCamelCase       =      pa.array(TypedSequence([1, 2, 3]	,				try_type=Value("""bool"""				)	,				type=Value("""int64"""				)				)				)





				def      _lowerCAmelCase       ( self				):





							"""simple docstring"""
							lowerCamelCase       =      pa.array(TypedSequence([1, 2, 3]	,				type=Value("""int32"""				)				)				)
							self.assertEqual(arr.type	,				pa.intaa()				)





				def      _lowerCAmelCase       ( self				):





							"""simple docstring"""
							with self.assertRaises((TypeError, pa.lib.ArrowInvalid)				):
										lowerCamelCase       =      pa.array(TypedSequence(["""foo""", """bar"""]	,				type=Value("""int64"""				)				)				)





				def      _lowerCAmelCase       ( self				):





							"""simple docstring"""
							lowerCamelCase       =      pa.array(TypedSequence([1, 2, 3]	,				try_type=Value("""int32"""				)				)				)
							self.assertEqual(arr.type	,				pa.intaa()				)





				def      _lowerCAmelCase       ( self				):





							"""simple docstring"""
							lowerCamelCase       =      pa.array(TypedSequence(["""foo""", """bar"""]	,				try_type=Value("""int64"""				)				)				)
							self.assertEqual(arr.type	,				pa.string()				)





				def      _lowerCAmelCase       ( self				):





							"""simple docstring"""
							lowerCamelCase       =      pa.array(TypedSequence([[[1, 2, 3]]]	,				type=ArrayaD((1, 3)	,				"""int64"""				)				)				)
							self.assertEqual(arr.type	,				ArrayaDExtensionType((1, 3)	,				"""int64"""				)				)





				def      _lowerCAmelCase       ( self				):





							"""simple docstring"""
							with self.assertRaises((TypeError, pa.lib.ArrowInvalid)				):
										lowerCamelCase       =      pa.array(TypedSequence(["""foo""", """bar"""]	,				type=ArrayaD((1, 3)	,				"""int64"""				)				)				)





				def      _lowerCAmelCase       ( self				):





							"""simple docstring"""
							lowerCamelCase       =      pa.array(TypedSequence([[[1, 2, 3]]]	,				try_type=ArrayaD((1, 3)	,				"""int64"""				)				)				)
							self.assertEqual(arr.type	,				ArrayaDExtensionType((1, 3)	,				"""int64"""				)				)





				def      _lowerCAmelCase       ( self				):





							"""simple docstring"""
							lowerCamelCase       =      pa.array(TypedSequence(["""foo""", """bar"""]	,				try_type=ArrayaD((1, 3)	,				"""int64"""				)				)				)
							self.assertEqual(arr.type	,				pa.string()				)





				@require_pil
				def      _lowerCAmelCase       ( self				):





							"""simple docstring"""
							import PIL.Image

							lowerCamelCase       =      PIL.Image.fromarray(np.arange(10	,				dtype=np.uinta				).reshape(2	,				5				)				)
							with patch(
							    """datasets.arrow_writer.cast_to_python_objects"""	,				side_effect=_a				) as mock_cast_to_python_objects:
										lowerCamelCase       =      pa.array(TypedSequence([{"""path""": None, """bytes""": B"""image_bytes"""}, pil_image]	,				type=Image()				)				)
										lowerCamelCase   ,     lowerCamelCase       =      mock_cast_to_python_objects.call_args_list[-1]
										self.assertIn("""optimize_list_casting"""	,				_a				)
										self.assertFalse(kwargs["""optimize_list_casting"""]				)




def 					a__				(       snake_case__ ,				snake_case__       )		->      List[str]:
			lowerCamelCase       =      pa.BufferReader(snake_case__       ) if isinstance(snake_case__ ,				pa.Buffer       ) else pa.memory_map(snake_case__       )
			lowerCamelCase       =      pa.ipc.open_stream(snake_case__       )
			lowerCamelCase       =      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 					a__				(       snake_case__ ,				snake_case__       )		->      Optional[Any]:
			lowerCamelCase       =      pa.BufferOutputStream()
			lowerCamelCase       =      pa.schema(snake_case__       ) if fields else None
			with ArrowWriter(stream=snake_case__ ,				schema=snake_case__ ,				writer_batch_size=snake_case__       ) as writer:
						writer.write({"""col_1""": """foo""", """col_2""": 1}       )
						writer.write({"""col_1""": """bar""", """col_2""": 2}       )
						lowerCamelCase   ,     lowerCamelCase       =      writer.finalize()
			assert num_examples == 2
			assert num_bytes > 0
			if not fields:
						lowerCamelCase       =      {"""col_1""": pa.string(), """col_2""": pa.intaa()}
			assert writer._schema == pa.schema(snake_case__ ,				metadata=writer._schema.metadata       )
			_check_output(output.getvalue() ,				expected_num_chunks=num_examples if writer_batch_size == 1 else 1       )



def 					a__				(       )		->      Optional[Any]:
			lowerCamelCase       =      pa.BufferOutputStream()
			lowerCamelCase       =      Features({"""labels""": ClassLabel(names=["""neg""", """pos"""]       )}       )
			with ArrowWriter(stream=snake_case__ ,				features=snake_case__       ) as writer:
						writer.write({"""labels""": 0}       )
						writer.write({"""labels""": 1}       )
						lowerCamelCase   ,     lowerCamelCase       =      writer.finalize()
			assert num_examples == 2
			assert num_bytes > 0
			assert writer._schema == features.arrow_schema
			assert writer._schema.metadata == features.arrow_schema.metadata
			lowerCamelCase       =      pa.BufferReader(output.getvalue()       )
			lowerCamelCase       =      pa.ipc.open_stream(snake_case__       )
			lowerCamelCase       =      f.read_all()
			lowerCamelCase       =      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(snake_case__       )



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



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



@pytest.mark.parametrize("""writer_batch_size""" ,				[None, 2, 10]       )
def 					a__				(       snake_case__       )		->      Dict:
			lowerCamelCase       =      pa.BufferOutputStream()
			with ArrowWriter(
			    stream=snake_case__ ,				writer_batch_size=snake_case__ ,				hash_salt="""split_name""" ,				check_duplicates=snake_case__ ,				) as writer:
						writer.write({"""col_1""": """foo""", """col_2""": 1} ,				key=1       )
						writer.write({"""col_1""": """bar""", """col_2""": 2} ,				key=2       )
						lowerCamelCase   ,     lowerCamelCase       =      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 					a__				(       snake_case__ ,				snake_case__       )		->      Dict:
			lowerCamelCase       =      pa.BufferOutputStream()
			lowerCamelCase       =      pa.schema(snake_case__       ) if fields else None
			with ArrowWriter(stream=snake_case__ ,				schema=snake_case__ ,				writer_batch_size=snake_case__       ) as writer:
						writer.write_batch({"""col_1""": ["""foo""", """bar"""], """col_2""": [1, 2]}       )
						writer.write_batch({"""col_1""": [], """col_2""": []}       )
						lowerCamelCase   ,     lowerCamelCase       =      writer.finalize()
			assert num_examples == 2
			assert num_bytes > 0
			if not fields:
						lowerCamelCase       =      {"""col_1""": pa.string(), """col_2""": pa.intaa()}
			assert writer._schema == pa.schema(snake_case__ ,				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 					a__				(       snake_case__ ,				snake_case__       )		->      List[Any]:
			lowerCamelCase       =      pa.BufferOutputStream()
			lowerCamelCase       =      pa.schema(snake_case__       ) if fields else None
			with ArrowWriter(stream=snake_case__ ,				schema=snake_case__ ,				writer_batch_size=snake_case__       ) as writer:
						writer.write_table(pa.Table.from_pydict({"""col_1""": ["""foo""", """bar"""], """col_2""": [1, 2]}       )       )
						lowerCamelCase   ,     lowerCamelCase       =      writer.finalize()
			assert num_examples == 2
			assert num_bytes > 0
			if not fields:
						lowerCamelCase       =      {"""col_1""": pa.string(), """col_2""": pa.intaa()}
			assert writer._schema == pa.schema(snake_case__ ,				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 					a__				(       snake_case__ ,				snake_case__       )		->      List[Any]:
			lowerCamelCase       =      pa.BufferOutputStream()
			lowerCamelCase       =      pa.schema(snake_case__       ) if fields else None
			with ArrowWriter(stream=snake_case__ ,				schema=snake_case__ ,				writer_batch_size=snake_case__       ) 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]}       )       )
						lowerCamelCase   ,     lowerCamelCase       =      writer.finalize()
			assert num_examples == 2
			assert num_bytes > 0
			if not fields:
						lowerCamelCase       =      {"""col_1""": pa.string(), """col_2""": pa.intaa()}
			assert writer._schema == pa.schema(snake_case__ ,				metadata=writer._schema.metadata       )
			_check_output(output.getvalue() ,				expected_num_chunks=num_examples if writer_batch_size == 1 else 1       )



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



def 					a__				(       snake_case__       )		->      Dict:
			if pa.types.is_list(snake_case__       ):
						return get_base_dtype(arr_type.value_type       )
			else:
						return arr_type



def 					a__				(       snake_case__ ,				snake_case__       )		->      Union[str, Any]:
			if isinstance(lst[0] ,				snake_case__       ):
						change_first_primitive_element_in_list(lst[0] ,				snake_case__       )
			else:
						lowerCamelCase       =      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 					a__				(       snake_case__ ,				snake_case__ ,				snake_case__       )		->      Tuple:
			lowerCamelCase       =      pa.array(TypedSequence(snake_case__ ,				optimized_int_type=snake_case__       )       )
			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 					a__				(       snake_case__ ,				snake_case__ ,				snake_case__       )		->      List[str]:
			# in range
			lowerCamelCase       =      pa.array(OptimizedTypedSequence(snake_case__ ,				col=snake_case__       )       )
			assert get_base_dtype(arr.type       ) == expected_dtype

			# not in range
			if col != "other":
						# avoids errors due to in-place modifications
						lowerCamelCase       =      copy.deepcopy(snake_case__       )
						lowerCamelCase       =      np.iinfo(expected_dtype.to_pandas_dtype()       ).max + 1
						change_first_primitive_element_in_list(snake_case__ ,				snake_case__       )
						lowerCamelCase       =      pa.array(OptimizedTypedSequence(snake_case__ ,				col=snake_case__       )       )
						assert get_base_dtype(arr.type       ) == pa.intaa()



@pytest.mark.parametrize("""raise_exception""" ,				[False, True]       )
def 					a__				(       snake_case__ ,				snake_case__       )		->      Tuple:
			lowerCamelCase       =      str(tmp_path / """dataset-train.arrow"""       )
			try:
						with ArrowWriter(path=snake_case__       ) as writer:
									if raise_exception:
												raise pa.lib.ArrowInvalid()
									else:
												writer.stream.close()
			except pa.lib.ArrowInvalid:
						pass
			finally:
						assert writer.stream.closed



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



def 					a__				(       )		->      Any:
			lowerCamelCase       =      pa.BufferOutputStream()
			with ParquetWriter(stream=snake_case__       ) as writer:
						writer.write({"""col_1""": """foo""", """col_2""": 1}       )
						writer.write({"""col_1""": """bar""", """col_2""": 2}       )
						lowerCamelCase   ,     lowerCamelCase       =      writer.finalize()
			assert num_examples == 2
			assert num_bytes > 0
			lowerCamelCase       =      pa.BufferReader(output.getvalue()       )
			lowerCamelCase       =      pq.read_table(snake_case__       )
			assert pa_table.to_pydict() == {"col_1": ["foo", "bar"], "col_2": [1, 2]}



@require_pil
@pytest.mark.parametrize("""embed_local_files""" ,				[False, True]       )
def 					a__				(       snake_case__ ,				snake_case__       )		->      List[Any]:
			import PIL.Image

			lowerCamelCase       =      str(tmp_path / """test_image_rgb.jpg"""       )
			PIL.Image.fromarray(np.zeros((5, 5) ,				dtype=np.uinta       )       ).save(snake_case__ ,				format="""png"""       )
			lowerCamelCase       =      pa.BufferOutputStream()
			with ParquetWriter(
			    stream=snake_case__ ,				features=Features({"""image""": Image()}       ) ,				embed_local_files=snake_case__       ) as writer:
						writer.write({"""image""": image_path}       )
						writer.finalize()
			lowerCamelCase       =      pa.BufferReader(output.getvalue()       )
			lowerCamelCase       =      pq.read_table(snake_case__       )
			lowerCamelCase       =      pa_table.to_pydict()
			if embed_local_files:
						assert isinstance(out["""image"""][0]["""path"""] ,				snake_case__       )
						with open(snake_case__ ,				"""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 					a__				(       )		->      Dict:
			lowerCamelCase       =      pa.schema([pa.field("""col_1""" ,				pa.string() ,				nullable=snake_case__       )]       )
			lowerCamelCase       =      pa.BufferOutputStream()
			with ArrowWriter(stream=snake_case__       ) as writer:
						writer._build_writer(inferred_schema=snake_case__       )
						assert writer._schema == pa.schema([pa.field("""col_1""" ,				pa.string()       )]       )









"""simple docstring"""




from __future__ import annotations



def 					a__				(       snake_case__ ,				snake_case__ = None ,				snake_case__ = None       )		->      None:
			if start is None:
						lowerCamelCase       =      0

			if end is None:
						lowerCamelCase       =      len(snake_case__       ) - 1

			if start >= end:
						return

			lowerCamelCase       =      (start + end) // 2

			slowsort(snake_case__ ,				snake_case__ ,				snake_case__       )
			slowsort(snake_case__ ,				mid + 1 ,				snake_case__       )

			if sequence[end] < sequence[mid]:
						lowerCamelCase   ,     lowerCamelCase       =      sequence[mid], sequence[end]

			slowsort(snake_case__ ,				snake_case__ ,				end - 1       )


if __name__ == "__main__":
					from doctest import testmod

					testmod()



