

"""simple docstring"""





import os
import tempfile
from pathlib import Path
from unittest import TestCase

import pyarrow as pa
import pytest

from datasets.arrow_dataset import Dataset
from datasets.arrow_reader import ArrowReader, BaseReader, FileInstructions, ReadInstruction, make_file_instructions
from datasets.info import DatasetInfo
from datasets.splits import NamedSplit, Split, SplitDict, SplitInfo

from .utils import assert_arrow_memory_doesnt_increase, assert_arrow_memory_increases

class     __a   (      snake_case__    ):

			"""simple docstring"""

			def    _lowerCAmelCase			(							self     :					Optional[Any]						,  lowercase_     :					Any						,  lowercase_     :					Union[str, Any]=False						):
								UpperCamelCase__  ,			UpperCamelCase__  ,			UpperCamelCase__		:    List[Any]         =(
								    filename_skip_take['''filename'''],
								    filename_skip_take['''skip'''] if '''skip''' in filename_skip_take else None,
								    filename_skip_take['''take'''] if '''take''' in filename_skip_take else None,
								)
								open(os.path.join(lowercase_						)						,  '''wb'''						).close()
								UpperCamelCase__		:    Optional[int]         =pa.Table.from_pydict({'''filename''': [Path(lowercase_						).name] * 100}						)
								if take == -1:
													UpperCamelCase__		:    int         =len(lowercase_						) - skip
								if skip is not None and take is not None:
													UpperCamelCase__		:    List[str]         =pa_table.slice(lowercase_						,  lowercase_						)
								return pa_table



class     __a   (      snake_case__    ):

			"""simple docstring"""

			def    _lowerCAmelCase			(							self     :					Dict						):
								UpperCamelCase__		:    int         ='''my_name'''
								UpperCamelCase__		:    Any         =SplitInfo(name='''train'''						,  num_examples=100						)
								UpperCamelCase__		:    Optional[int]         =SplitInfo(name='''test'''						,  num_examples=100						)
								UpperCamelCase__		:    Any         =[train_info, test_info]
								UpperCamelCase__		:    Union[str, Any]         =SplitDict()
								split_dict.add(lowercase_						)
								split_dict.add(lowercase_						)
								UpperCamelCase__		:    str         =DatasetInfo(splits=lowercase_						)

								with tempfile.TemporaryDirectory() as tmp_dir:
													UpperCamelCase__		:    List[Any]         =ReaderTest(lowercase_						,  lowercase_						)

													UpperCamelCase__		:    str         ='''test[:33%]'''
													UpperCamelCase__		:    int         =Dataset(**reader.read(lowercase_						,  lowercase_						,  lowercase_						)						)
													self.assertEqual(dset['''filename'''][0]						,  f'''{name}-test'''						)
													self.assertEqual(dset.num_rows						,  33						)
													self.assertEqual(dset.num_columns						,  1						)

													UpperCamelCase__		:    List[Any]         =['''train''', '''test[:33%]''']
													UpperCamelCase__		:    Union[str, Any]         =[Split.TRAIN, ReadInstruction.from_spec('''test[:33%]'''						)]
													for instructions in [instructionsa, instructionsa]:
																		UpperCamelCase__		:    List[str]         =[reader.read(lowercase_						,  lowercase_						,  lowercase_						) for instr in instructions]
																		UpperCamelCase__  ,			UpperCamelCase__		:    str         =(Dataset(**lowercase_						) for dataset_kwargs in datasets_kwargs)
																		self.assertEqual(train_dset['''filename'''][0]						,  f'''{name}-train'''						)
																		self.assertEqual(train_dset.num_rows						,  100						)
																		self.assertEqual(train_dset.num_columns						,  1						)
																		self.assertIsInstance(train_dset.split						,  lowercase_						)
																		self.assertEqual(str(train_dset.split						)						,  '''train'''						)
																		self.assertEqual(test_dset['''filename'''][0]						,  f'''{name}-test'''						)
																		self.assertEqual(test_dset.num_rows						,  33						)
																		self.assertEqual(test_dset.num_columns						,  1						)
																		self.assertIsInstance(test_dset.split						,  lowercase_						)
																		self.assertEqual(str(test_dset.split						)						,  '''test[:33%]'''						)
																		del train_dset, test_dset






			def    _lowerCAmelCase			(							self     :					List[str]						):
								UpperCamelCase__		:    Optional[int]         ='''my_name'''
								UpperCamelCase__		:    str         =SplitInfo(name='''train'''						,  num_examples=1000						,  shard_lengths=[100] * 10						)
								UpperCamelCase__		:    Dict         =[train_info]
								UpperCamelCase__		:    Tuple         =SplitDict()
								split_dict.add(lowercase_						)
								UpperCamelCase__		:    Union[str, Any]         =DatasetInfo(splits=lowercase_						)

								with tempfile.TemporaryDirectory() as tmp_dir:
													UpperCamelCase__		:    Any         =ReaderTest(lowercase_						,  lowercase_						)

													UpperCamelCase__		:    List[Any]         ='''train[:33%]'''
													UpperCamelCase__		:    Optional[Any]         =Dataset(**reader.read(lowercase_						,  lowercase_						,  lowercase_						)						)
													self.assertEqual(dset['''filename'''][0]						,  f'''{name}-train-00000-of-00010'''						)
													self.assertEqual(dset['''filename'''][-1]						,  f'''{name}-train-00003-of-00010'''						)
													self.assertEqual(dset.num_rows						,  330						)
													self.assertEqual(dset.num_columns						,  1						)






			def    _lowerCAmelCase			(							self     :					Optional[Any]						):
								UpperCamelCase__		:    Any         =SplitInfo(name='''train'''						,  num_examples=100						)
								UpperCamelCase__		:    Dict         =SplitInfo(name='''test'''						,  num_examples=100						)
								UpperCamelCase__		:    int         =SplitDict()
								split_dict.add(lowercase_						)
								split_dict.add(lowercase_						)
								UpperCamelCase__		:    Any         =DatasetInfo(splits=lowercase_						)

								with tempfile.TemporaryDirectory() as tmp_dir:
													UpperCamelCase__		:    str         =ReaderTest(lowercase_						,  lowercase_						)

													UpperCamelCase__		:    str         =[
													    {'''filename''': os.path.join(lowercase_						,  '''train'''						)},
													    {'''filename''': os.path.join(lowercase_						,  '''test'''						), '''skip''': 10, '''take''': 10},
													]
													UpperCamelCase__		:    Dict         =Dataset(**reader.read_files(lowercase_						,  original_instructions='''train+test[10:20]'''						)						)
													self.assertEqual(dset.num_rows						,  110						)
													self.assertEqual(dset.num_columns						,  1						)
													del dset



@pytest.mark.parametrize('''in_memory'''      ,							[False, True]				)
def        _lowerCAmelCase      (						UpperCAmelCase     :							Dict      ,							UpperCAmelCase     :							List[str]      ,							UpperCAmelCase     :							List[Any]				):


					'''simple docstring'''






					UpperCamelCase__		:    str         =arrow_file
					with assert_arrow_memory_increases() if in_memory else assert_arrow_memory_doesnt_increase():
										UpperCamelCase__		:    Optional[Any]         =ArrowReader.read_table(UpperCAmelCase      ,							in_memory=UpperCAmelCase				)
					assert table.shape == dataset.data.shape
					assert set(table.column_names				) == set(dataset.data.column_names				)
					assert dict(table.to_pydict()				) == dict(dataset.data.to_pydict()				)  # to_pydict returns OrderedDict



@pytest.mark.parametrize('''in_memory'''      ,							[False, True]				)
def        _lowerCAmelCase      (						UpperCAmelCase     :							Optional[Any]      ,							UpperCAmelCase     :							List[Any]      ,							UpperCAmelCase     :							Dict				):


					'''simple docstring'''






					UpperCamelCase__		:    int         =arrow_file
					UpperCamelCase__		:    List[Any]         =ArrowReader(''''''      ,							UpperCAmelCase				)
					with assert_arrow_memory_increases() if in_memory else assert_arrow_memory_doesnt_increase():
										UpperCamelCase__		:    Optional[int]         =reader.read_files([{'''filename''': filename}]      ,							in_memory=UpperCAmelCase				)
					assert dataset_kwargs.keys() == {"arrow_table", "info", "split"}
					UpperCamelCase__		:    List[str]         =dataset_kwargs['''arrow_table''']
					assert table.shape == dataset.data.shape
					assert set(table.column_names				) == set(dataset.data.column_names				)
					assert dict(table.to_pydict()				) == dict(dataset.data.to_pydict()				)  # to_pydict returns OrderedDict



def        _lowerCAmelCase      (						):


					'''simple docstring'''






					assert ReadInstruction('''train'''      ,							to=10      ,							unit='''abs'''				).to_spec() == "train[:10]"
					assert ReadInstruction('''train'''      ,							from_=-80      ,							to=10      ,							unit='''%'''				).to_spec() == "train[-80%:10%]"

					UpperCamelCase__		:    int         ='''train+test'''
					assert ReadInstruction.from_spec(UpperCAmelCase				).to_spec() == spec_train_test

					UpperCamelCase__		:    Tuple         ='''train[2:10]'''
					assert ReadInstruction.from_spec(UpperCAmelCase				).to_spec() == spec_train_abs

					UpperCamelCase__		:    Dict         ='''train[15%:-20%]'''
					assert ReadInstruction.from_spec(UpperCAmelCase				).to_spec() == spec_train_pct

					UpperCamelCase__		:    str         ='''train[:10%](closest)'''
					assert ReadInstruction.from_spec(UpperCAmelCase				).to_spec() == "train[:10%]"

					UpperCamelCase__		:    List[str]         ='''train[:10%](pct1_dropremainder)'''
					assert ReadInstruction.from_spec(UpperCAmelCase				).to_spec() == spec_train_pct_rounding

					UpperCamelCase__		:    Optional[Any]         ='''train[:10%](pct1_dropremainder)+test[-10%:](pct1_dropremainder)'''
					assert ReadInstruction.from_spec(UpperCAmelCase				).to_spec() == spec_train_test_pct_rounding



def        _lowerCAmelCase      (						):


					'''simple docstring'''






					UpperCamelCase__		:    Optional[Any]         ='''dummy'''
					UpperCamelCase__		:    List[Any]         =[SplitInfo(name='''train'''      ,							num_examples=100				)]
					UpperCamelCase__		:    Dict         ='''train[:33%]'''
					UpperCamelCase__		:    List[str]         ='''arrow'''
					UpperCamelCase__		:    Tuple         ='''prefix'''

					UpperCamelCase__		:    int         =make_file_instructions(UpperCAmelCase      ,							UpperCAmelCase      ,							UpperCAmelCase      ,							UpperCAmelCase      ,							UpperCAmelCase				)
					assert isinstance(UpperCAmelCase      ,							UpperCAmelCase				)
					assert file_instructions.num_examples == 33
					assert file_instructions.file_instructions == [
					    {"filename": os.path.join(UpperCAmelCase      ,							F'''{name}-train.arrow'''				), "skip": 0, "take": 33}
					]

					UpperCamelCase__		:    Tuple         =[SplitInfo(name='''train'''      ,							num_examples=100      ,							shard_lengths=[10] * 10				)]
					UpperCamelCase__		:    int         =make_file_instructions(UpperCAmelCase      ,							UpperCAmelCase      ,							UpperCAmelCase      ,							UpperCAmelCase      ,							UpperCAmelCase				)
					assert isinstance(UpperCAmelCase      ,							UpperCAmelCase				)
					assert file_instructions.num_examples == 33
					assert file_instructions.file_instructions == [
					    {"filename": os.path.join(UpperCAmelCase      ,							F'''{name}-train-00000-of-00010.arrow'''				), "skip": 0, "take": -1},
					    {"filename": os.path.join(UpperCAmelCase      ,							F'''{name}-train-00001-of-00010.arrow'''				), "skip": 0, "take": -1},
					    {"filename": os.path.join(UpperCAmelCase      ,							F'''{name}-train-00002-of-00010.arrow'''				), "skip": 0, "take": -1},
					    {"filename": os.path.join(UpperCAmelCase      ,							F'''{name}-train-00003-of-00010.arrow'''				), "skip": 0, "take": 3},
					]







@pytest.mark.parametrize('''name, expected_exception'''      ,							[(None, TypeError), ('''''', ValueError)]				)
def        _lowerCAmelCase      (						UpperCAmelCase     :							List[str]      ,							UpperCAmelCase     :							Dict				):


					'''simple docstring'''






					UpperCamelCase__		:    Any         =[SplitInfo(name='''train'''      ,							num_examples=100				)]
					UpperCamelCase__		:    List[Any]         ='''train'''
					UpperCamelCase__		:    List[Any]         ='''arrow'''
					UpperCamelCase__		:    str         ='''prefix_path'''
					with pytest.raises(UpperCAmelCase				):
										UpperCamelCase__		:    List[Any]         =make_file_instructions(UpperCAmelCase      ,							UpperCAmelCase      ,							UpperCAmelCase      ,							UpperCAmelCase      ,							UpperCAmelCase				)





"""simple docstring"""





import unittest

from transformers.image_processing_utils import get_size_dict

class     __a   (      unittest.TestCase    ):

			"""simple docstring"""

			def    _lowerCAmelCase			(							self     :					Dict						):
								# Test a dict with the wrong keys raises an error
								UpperCamelCase__		:    str         ={'''wrong_key''': 224}
								with self.assertRaises(lowercase_						):
													get_size_dict(lowercase_						)

								UpperCamelCase__		:    Any         ={'''height''': 224}
								with self.assertRaises(lowercase_						):
													get_size_dict(lowercase_						)

								UpperCamelCase__		:    List[str]         ={'''width''': 224, '''shortest_edge''': 224}
								with self.assertRaises(lowercase_						):
													get_size_dict(lowercase_						)

								# Test a dict with the correct keys is returned as is
								UpperCamelCase__		:    int         ={'''height''': 224, '''width''': 224}
								UpperCamelCase__		:    str         =get_size_dict(lowercase_						)
								self.assertEqual(lowercase_						,  lowercase_						)

								UpperCamelCase__		:    List[Any]         ={'''shortest_edge''': 224}
								UpperCamelCase__		:    List[str]         =get_size_dict(lowercase_						)
								self.assertEqual(lowercase_						,  {'''shortest_edge''': 224}						)

								UpperCamelCase__		:    List[Any]         ={'''longest_edge''': 224, '''shortest_edge''': 224}
								UpperCamelCase__		:    Tuple         =get_size_dict(lowercase_						)
								self.assertEqual(lowercase_						,  {'''longest_edge''': 224, '''shortest_edge''': 224}						)

								# Test a single int value which  represents (size, size)
								UpperCamelCase__		:    Optional[int]         =get_size_dict(224						)
								self.assertEqual(lowercase_						,  {'''height''': 224, '''width''': 224}						)

								# Test a single int value which represents the shortest edge
								UpperCamelCase__		:    str         =get_size_dict(224						,  default_to_square=lowercase_						)
								self.assertEqual(lowercase_						,  {'''shortest_edge''': 224}						)

								# Test a tuple of ints which represents (height, width)
								UpperCamelCase__		:    List[str]         =get_size_dict((150, 200)						)
								self.assertEqual(lowercase_						,  {'''height''': 150, '''width''': 200}						)

								# Test a tuple of ints which represents (width, height)
								UpperCamelCase__		:    Optional[int]         =get_size_dict((150, 200)						,  height_width_order=lowercase_						)
								self.assertEqual(lowercase_						,  {'''height''': 200, '''width''': 150}						)

								# Test an int representing the shortest edge and max_size which represents the longest edge
								UpperCamelCase__		:    int         =get_size_dict(224						,  max_size=256						,  default_to_square=lowercase_						)
								self.assertEqual(lowercase_						,  {'''shortest_edge''': 224, '''longest_edge''': 256}						)

								# Test int with default_to_square=True and max_size fails
								with self.assertRaises(lowercase_						):
													get_size_dict(224						,  max_size=256						,  default_to_square=lowercase_						)


