
'''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  lowerCAmelCase__   (  lowerCamelCase_     ):






					def 	_snake_case    (   self		):


											"""simple docstring"""





											lowercase_	:     Tuple													=       pa.array(TypedSequence([1, 2, 3]		)		)
											self.assertEqual(arr.type				,							pa.intaa()		)






					def 	_snake_case    (   self		):


											"""simple docstring"""





											with self.assertRaises(__SCREAMING_SNAKE_CASE		):
																	lowercase_	:     List[str]													=       pa.array(TypedSequence([1, 2, 3]		)				,							type=pa.intaa()		)






					def 	_snake_case    (   self		):


											"""simple docstring"""





											with self.assertRaises(__SCREAMING_SNAKE_CASE		):
																	lowercase_	:     str													=       pa.array(TypedSequence([1, 2, 3]				,							try_type=Value('''bool'''		)				,							type=Value('''int64'''		)		)		)






					def 	_snake_case    (   self		):


											"""simple docstring"""





											lowercase_	:     Any													=       pa.array(TypedSequence([1, 2, 3]				,							type=Value('''int32'''		)		)		)
											self.assertEqual(arr.type				,							pa.intaa()		)






					def 	_snake_case    (   self		):


											"""simple docstring"""





											with self.assertRaises((TypeError, pa.lib.ArrowInvalid)		):
																	lowercase_	:     List[Any]													=       pa.array(TypedSequence(['''foo''', '''bar''']				,							type=Value('''int64'''		)		)		)






					def 	_snake_case    (   self		):


											"""simple docstring"""





											lowercase_	:     Optional[int]													=       pa.array(TypedSequence([1, 2, 3]				,							try_type=Value('''int32'''		)		)		)
											self.assertEqual(arr.type				,							pa.intaa()		)






					def 	_snake_case    (   self		):


											"""simple docstring"""





											lowercase_	:     Dict													=       pa.array(TypedSequence(['''foo''', '''bar''']				,							try_type=Value('''int64'''		)		)		)
											self.assertEqual(arr.type				,							pa.string()		)






					def 	_snake_case    (   self		):


											"""simple docstring"""





											lowercase_	:     str													=       pa.array(TypedSequence([[[1, 2, 3]]]				,							type=ArrayaD((1, 3)				,							'''int64'''		)		)		)
											self.assertEqual(arr.type				,							ArrayaDExtensionType((1, 3)				,							'''int64'''		)		)






					def 	_snake_case    (   self		):


											"""simple docstring"""





											with self.assertRaises((TypeError, pa.lib.ArrowInvalid)		):
																	lowercase_	:     Optional[Any]													=       pa.array(TypedSequence(['''foo''', '''bar''']				,							type=ArrayaD((1, 3)				,							'''int64'''		)		)		)






					def 	_snake_case    (   self		):


											"""simple docstring"""





											lowercase_	:     Any													=       pa.array(TypedSequence([[[1, 2, 3]]]				,							try_type=ArrayaD((1, 3)				,							'''int64'''		)		)		)
											self.assertEqual(arr.type				,							ArrayaDExtensionType((1, 3)				,							'''int64'''		)		)






					def 	_snake_case    (   self		):


											"""simple docstring"""





											lowercase_	:     str													=       pa.array(TypedSequence(['''foo''', '''bar''']				,							try_type=ArrayaD((1, 3)				,							'''int64'''		)		)		)
											self.assertEqual(arr.type				,							pa.string()		)






					@require_pil
					def 	_snake_case    (   self		):


											"""simple docstring"""





											import PIL.Image

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







def 					snake_case_		(				__SCREAMING_SNAKE_CASE					: Dict      ,      __SCREAMING_SNAKE_CASE					: int							):



						"""simple docstring"""





						lowercase_	:     Union[str, Any]													=       pa.BufferReader(__SCREAMING_SNAKE_CASE							) if isinstance(__SCREAMING_SNAKE_CASE      ,      pa.Buffer							) else pa.memory_map(__SCREAMING_SNAKE_CASE							)
						lowercase_	:     str													=       pa.ipc.open_stream(__SCREAMING_SNAKE_CASE							)
						lowercase_	:     pa.Table													=       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 					snake_case_		(				__SCREAMING_SNAKE_CASE					: Dict      ,      __SCREAMING_SNAKE_CASE					: List[str]							):



						"""simple docstring"""





						lowercase_	:     Any													=       pa.BufferOutputStream()
						lowercase_	:     Union[str, Any]													=       pa.schema(__SCREAMING_SNAKE_CASE							) if fields else None
						with ArrowWriter(stream=__SCREAMING_SNAKE_CASE      ,      schema=__SCREAMING_SNAKE_CASE      ,      writer_batch_size=__SCREAMING_SNAKE_CASE							) as writer:
												writer.write({'''col_1''': '''foo''', '''col_2''': 1}							)
												writer.write({'''col_1''': '''bar''', '''col_2''': 2}							)
												lowercase_						, lowercase_	:     Optional[int]													=       writer.finalize()
						assert num_examples == 2
						assert num_bytes > 0
						if not fields:
												lowercase_	:     Union[str, Any]													=       {'''col_1''': pa.string(), '''col_2''': pa.intaa()}
						assert writer._schema == pa.schema(__SCREAMING_SNAKE_CASE      ,      metadata=writer._schema.metadata							)
						_check_output(output.getvalue()      ,      expected_num_chunks=num_examples if writer_batch_size == 1 else 1							)
def 					snake_case_		(				):



						"""simple docstring"""





						lowercase_	:     Optional[int]													=       pa.BufferOutputStream()
						lowercase_	:     Union[str, Any]													=       Features({'''labels''': ClassLabel(names=['''neg''', '''pos''']							)}							)
						with ArrowWriter(stream=__SCREAMING_SNAKE_CASE      ,      features=__SCREAMING_SNAKE_CASE							) as writer:
												writer.write({'''labels''': 0}							)
												writer.write({'''labels''': 1}							)
												lowercase_						, lowercase_	:     str													=       writer.finalize()
						assert num_examples == 2
						assert num_bytes > 0
						assert writer._schema == features.arrow_schema
						assert writer._schema.metadata == features.arrow_schema.metadata
						lowercase_	:     Union[str, Any]													=       pa.BufferReader(output.getvalue()							)
						lowercase_	:     Dict													=       pa.ipc.open_stream(__SCREAMING_SNAKE_CASE							)
						lowercase_	:     pa.Table													=       f.read_all()
						lowercase_	:     Tuple													=       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(__SCREAMING_SNAKE_CASE							)
@pytest.mark.parametrize('''writer_batch_size'''      ,      [None, 1, 10]							)
def 					snake_case_		(				__SCREAMING_SNAKE_CASE					: Dict							):



						"""simple docstring"""





						lowercase_	:     int													=       pa.BufferOutputStream()
						with ArrowWriter(
						    stream=__SCREAMING_SNAKE_CASE      ,      writer_batch_size=__SCREAMING_SNAKE_CASE      ,      hash_salt='''split_name'''      ,      check_duplicates=__SCREAMING_SNAKE_CASE      ,      ) as writer:
												with pytest.raises(__SCREAMING_SNAKE_CASE							):
																		writer.write({'''col_1''': '''foo''', '''col_2''': 1}      ,      key=[1, 2]							)
																		lowercase_						, lowercase_	:     List[str]													=       writer.finalize()
@pytest.mark.parametrize('''writer_batch_size'''      ,      [None, 2, 10]							)
def 					snake_case_		(				__SCREAMING_SNAKE_CASE					: Any							):



						"""simple docstring"""





						lowercase_	:     Union[str, Any]													=       pa.BufferOutputStream()
						with ArrowWriter(
						    stream=__SCREAMING_SNAKE_CASE      ,      writer_batch_size=__SCREAMING_SNAKE_CASE      ,      hash_salt='''split_name'''      ,      check_duplicates=__SCREAMING_SNAKE_CASE      ,      ) as writer:
												with pytest.raises(__SCREAMING_SNAKE_CASE							):
																		writer.write({'''col_1''': '''foo''', '''col_2''': 1}      ,      key=10							)
																		writer.write({'''col_1''': '''bar''', '''col_2''': 2}      ,      key=10							)
																		lowercase_						, lowercase_	:     Tuple													=       writer.finalize()
@pytest.mark.parametrize('''writer_batch_size'''      ,      [None, 2, 10]							)
def 					snake_case_		(				__SCREAMING_SNAKE_CASE					: Optional[int]							):



						"""simple docstring"""





						lowercase_	:     List[str]													=       pa.BufferOutputStream()
						with ArrowWriter(
						    stream=__SCREAMING_SNAKE_CASE      ,      writer_batch_size=__SCREAMING_SNAKE_CASE      ,      hash_salt='''split_name'''      ,      check_duplicates=__SCREAMING_SNAKE_CASE      ,      ) as writer:
												writer.write({'''col_1''': '''foo''', '''col_2''': 1}      ,      key=1							)
												writer.write({'''col_1''': '''bar''', '''col_2''': 2}      ,      key=2							)
												lowercase_						, lowercase_	:     List[str]													=       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 					snake_case_		(				__SCREAMING_SNAKE_CASE					: Tuple      ,      __SCREAMING_SNAKE_CASE					: List[str]							):



						"""simple docstring"""





						lowercase_	:     Optional[Any]													=       pa.BufferOutputStream()
						lowercase_	:     Any													=       pa.schema(__SCREAMING_SNAKE_CASE							) if fields else None
						with ArrowWriter(stream=__SCREAMING_SNAKE_CASE      ,      schema=__SCREAMING_SNAKE_CASE      ,      writer_batch_size=__SCREAMING_SNAKE_CASE							) as writer:
												writer.write_batch({'''col_1''': ['''foo''', '''bar'''], '''col_2''': [1, 2]}							)
												writer.write_batch({'''col_1''': [], '''col_2''': []}							)
												lowercase_						, lowercase_	:     List[Any]													=       writer.finalize()
						assert num_examples == 2
						assert num_bytes > 0
						if not fields:
												lowercase_	:     str													=       {'''col_1''': pa.string(), '''col_2''': pa.intaa()}
						assert writer._schema == pa.schema(__SCREAMING_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 					snake_case_		(				__SCREAMING_SNAKE_CASE					: List[Any]      ,      __SCREAMING_SNAKE_CASE					: List[Any]							):



						"""simple docstring"""





						lowercase_	:     Any													=       pa.BufferOutputStream()
						lowercase_	:     Optional[int]													=       pa.schema(__SCREAMING_SNAKE_CASE							) if fields else None
						with ArrowWriter(stream=__SCREAMING_SNAKE_CASE      ,      schema=__SCREAMING_SNAKE_CASE      ,      writer_batch_size=__SCREAMING_SNAKE_CASE							) as writer:
												writer.write_table(pa.Table.from_pydict({'''col_1''': ['''foo''', '''bar'''], '''col_2''': [1, 2]}							)							)
												lowercase_						, lowercase_	:     str													=       writer.finalize()
						assert num_examples == 2
						assert num_bytes > 0
						if not fields:
												lowercase_	:     Union[str, Any]													=       {'''col_1''': pa.string(), '''col_2''': pa.intaa()}
						assert writer._schema == pa.schema(__SCREAMING_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 					snake_case_		(				__SCREAMING_SNAKE_CASE					: Tuple      ,      __SCREAMING_SNAKE_CASE					: List[str]							):



						"""simple docstring"""





						lowercase_	:     int													=       pa.BufferOutputStream()
						lowercase_	:     Union[str, Any]													=       pa.schema(__SCREAMING_SNAKE_CASE							) if fields else None
						with ArrowWriter(stream=__SCREAMING_SNAKE_CASE      ,      schema=__SCREAMING_SNAKE_CASE      ,      writer_batch_size=__SCREAMING_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]}							)							)
												lowercase_						, lowercase_	:     Union[str, Any]													=       writer.finalize()
						assert num_examples == 2
						assert num_bytes > 0
						if not fields:
												lowercase_	:     List[Any]													=       {'''col_1''': pa.string(), '''col_2''': pa.intaa()}
						assert writer._schema == pa.schema(__SCREAMING_SNAKE_CASE      ,      metadata=writer._schema.metadata							)
						_check_output(output.getvalue()      ,      expected_num_chunks=num_examples if writer_batch_size == 1 else 1							)
def 					snake_case_		(				):



						"""simple docstring"""





						with tempfile.TemporaryDirectory() as tmp_dir:
												lowercase_	:     Union[str, Any]													=       {'''col_1''': pa.string(), '''col_2''': pa.intaa()}
												lowercase_	:     int													=       os.path.join(__SCREAMING_SNAKE_CASE      ,      '''test.arrow'''							)
												with ArrowWriter(path=__SCREAMING_SNAKE_CASE      ,      schema=pa.schema(__SCREAMING_SNAKE_CASE							)							) as writer:
																		writer.write_batch({'''col_1''': ['''foo''', '''bar'''], '''col_2''': [1, 2]}							)
																		lowercase_						, lowercase_	:     Optional[int]													=       writer.finalize()
												assert num_examples == 2
												assert num_bytes > 0
												assert writer._schema == pa.schema(__SCREAMING_SNAKE_CASE      ,      metadata=writer._schema.metadata							)
												_check_output(__SCREAMING_SNAKE_CASE      ,      1							)
def 					snake_case_		(				__SCREAMING_SNAKE_CASE					: Optional[int]							):



						"""simple docstring"""





						if pa.types.is_list(__SCREAMING_SNAKE_CASE							):
												return get_base_dtype(arr_type.value_type							)
						else:
												return arr_type
def 					snake_case_		(				__SCREAMING_SNAKE_CASE					: Any      ,      __SCREAMING_SNAKE_CASE					: Optional[Any]							):



						"""simple docstring"""





						if isinstance(lst[0]      ,      __SCREAMING_SNAKE_CASE							):
												change_first_primitive_element_in_list(lst[0]      ,      __SCREAMING_SNAKE_CASE							)
						else:
												lowercase_	:     Tuple													=       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 					snake_case_		(				__SCREAMING_SNAKE_CASE					: int      ,      __SCREAMING_SNAKE_CASE					: Union[str, Any]      ,      __SCREAMING_SNAKE_CASE					: Dict							):



						"""simple docstring"""





						lowercase_	:     Union[str, Any]													=       pa.array(TypedSequence(__SCREAMING_SNAKE_CASE      ,      optimized_int_type=__SCREAMING_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 					snake_case_		(				__SCREAMING_SNAKE_CASE					: Optional[int]      ,      __SCREAMING_SNAKE_CASE					: Optional[int]      ,      __SCREAMING_SNAKE_CASE					: Optional[Any]							):



						"""simple docstring"""





						lowercase_	:     Any													=       pa.array(OptimizedTypedSequence(__SCREAMING_SNAKE_CASE      ,      col=__SCREAMING_SNAKE_CASE							)							)
						assert get_base_dtype(arr.type							) == expected_dtype

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



						"""simple docstring"""





						lowercase_	:     Dict													=       str(tmp_path / '''dataset-train.arrow'''							)
						try:
												with ArrowWriter(path=__SCREAMING_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 					snake_case_		(				__SCREAMING_SNAKE_CASE					: Dict							):



						"""simple docstring"""





						lowercase_	:     List[str]													=       '''mock://dataset-train.arrow'''
						with ArrowWriter(path=__SCREAMING_SNAKE_CASE      ,      storage_options=mockfs.storage_options							) as writer:
												assert isinstance(writer._fs      ,      type(__SCREAMING_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}							)
												lowercase_						, lowercase_	:     Tuple													=       writer.finalize()
						assert num_examples == 2
						assert num_bytes > 0
						assert mockfs.exists(__SCREAMING_SNAKE_CASE							)
def 					snake_case_		(				):



						"""simple docstring"""





						lowercase_	:     List[Any]													=       pa.BufferOutputStream()
						with ParquetWriter(stream=__SCREAMING_SNAKE_CASE							) as writer:
												writer.write({'''col_1''': '''foo''', '''col_2''': 1}							)
												writer.write({'''col_1''': '''bar''', '''col_2''': 2}							)
												lowercase_						, lowercase_	:     Dict													=       writer.finalize()
						assert num_examples == 2
						assert num_bytes > 0
						lowercase_	:     Optional[int]													=       pa.BufferReader(output.getvalue()							)
						lowercase_	:     pa.Table													=       pq.read_table(__SCREAMING_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 					snake_case_		(				__SCREAMING_SNAKE_CASE					: Union[str, Any]      ,      __SCREAMING_SNAKE_CASE					: str							):



						"""simple docstring"""





						import PIL.Image

						lowercase_	:     Any													=       str(tmp_path / '''test_image_rgb.jpg'''							)
						PIL.Image.fromarray(np.zeros((5, 5)      ,      dtype=np.uinta							)							).save(__SCREAMING_SNAKE_CASE      ,      format='''png'''							)
						lowercase_	:     Tuple													=       pa.BufferOutputStream()
						with ParquetWriter(
						    stream=__SCREAMING_SNAKE_CASE      ,      features=Features({'''image''': Image()}							)      ,      embed_local_files=__SCREAMING_SNAKE_CASE							) as writer:
												writer.write({'''image''': image_path}							)
												writer.finalize()
						lowercase_	:     Tuple													=       pa.BufferReader(output.getvalue()							)
						lowercase_	:     pa.Table													=       pq.read_table(__SCREAMING_SNAKE_CASE							)
						lowercase_	:     Optional[Any]													=       pa_table.to_pydict()
						if embed_local_files:
												assert isinstance(out['''image'''][0]['''path''']      ,      __SCREAMING_SNAKE_CASE							)
												with open(__SCREAMING_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 					snake_case_		(				):



						"""simple docstring"""





						lowercase_	:     Any													=       pa.schema([pa.field('''col_1'''      ,      pa.string()      ,      nullable=__SCREAMING_SNAKE_CASE							)]							)
						lowercase_	:     Union[str, Any]													=       pa.BufferOutputStream()
						with ArrowWriter(stream=__SCREAMING_SNAKE_CASE							) as writer:
												writer._build_writer(inferred_schema=__SCREAMING_SNAKE_CASE							)
												assert writer._schema == pa.schema([pa.field('''col_1'''      ,      pa.string()							)]							)





'''simple docstring'''







import unittest

from knapsack import greedy_knapsack as kp






class  lowerCAmelCase__   (  unittest.TestCase     ):






					def 	_snake_case    (   self		):


											"""simple docstring"""





											lowercase_	:     List[str]													=       [10, 20, 30, 40, 50, 60]
											lowercase_	:     Optional[Any]													=       [2, 4, 6, 8, 10, 12]
											lowercase_	:     Union[str, Any]													=       1_00
											self.assertEqual(kp.calc_profit(__SCREAMING_SNAKE_CASE				,							__SCREAMING_SNAKE_CASE				,							__SCREAMING_SNAKE_CASE		)				,							2_10		)






					def 	_snake_case    (   self		):


											"""simple docstring"""





											self.assertRaisesRegex(__SCREAMING_SNAKE_CASE				,							'''max_weight must greater than zero.'''		)






					def 	_snake_case    (   self		):


											"""simple docstring"""





											self.assertRaisesRegex(__SCREAMING_SNAKE_CASE				,							'''Weight can not be negative.'''		)






					def 	_snake_case    (   self		):


											"""simple docstring"""





											self.assertRaisesRegex(__SCREAMING_SNAKE_CASE				,							'''Profit can not be negative.'''		)






					def 	_snake_case    (   self		):


											"""simple docstring"""





											self.assertRaisesRegex(__SCREAMING_SNAKE_CASE				,							'''max_weight must greater than zero.'''		)






					def 	_snake_case    (   self		):


											"""simple docstring"""





											self.assertRaisesRegex(
											    __SCREAMING_SNAKE_CASE				,							'''The length of profit and weight must be same.'''		)


if __name__ == "__main__":
							unittest.main()



