


'''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 		UpperCamelCase_		(					A   ):





						"""simple docstring"""




						def 					__A					( self				:					List[str]	,				_lowerCamelCase				:					List[Any]	,				_lowerCamelCase				:					Optional[Any]=False  )							->					Tuple:
										__magic_name__  ,      __magic_name__  ,      __magic_name__	  = (
										    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(_lowerCamelCase  )	,				"wb"  ).close()
										__magic_name__	  = pa.Table.from_pydict({"filename": [Path(_lowerCamelCase  ).name] * 1_00}  )
										if take == -1:
														__magic_name__	  = len(_lowerCamelCase  ) - skip
										if skip is not None and take is not None:
														__magic_name__	  = pa_table.slice(_lowerCamelCase	,				_lowerCamelCase  )
										return pa_table






class 		UpperCamelCase_		(					A   ):





						"""simple docstring"""




						def 					__A					( self				:					Any  )							->					int:
										__magic_name__	  = "my_name"
										__magic_name__	  = SplitInfo(name="train"	,				num_examples=1_00  )
										__magic_name__	  = SplitInfo(name="test"	,				num_examples=1_00  )
										__magic_name__	  = [train_info, test_info]
										__magic_name__	  = SplitDict()
										split_dict.add(_lowerCamelCase  )
										split_dict.add(_lowerCamelCase  )
										__magic_name__	  = DatasetInfo(splits=_lowerCamelCase  )

										with tempfile.TemporaryDirectory() as tmp_dir:
														__magic_name__	  = ReaderTest(_lowerCamelCase	,				_lowerCamelCase  )

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

														__magic_name__	  = ["train", "test[:33%]"]
														__magic_name__	  = [Split.TRAIN, ReadInstruction.from_spec("test[:33%]"  )]
														for instructions in [instructionsa, instructionsa]:
																		__magic_name__	  = [reader.read(_lowerCamelCase	,				_lowerCamelCase	,				_lowerCamelCase  ) for instr in instructions]
																		__magic_name__  ,      __magic_name__	  = (Dataset(**_lowerCamelCase  ) for dataset_kwargs in datasets_kwargs)
																		self.assertEqual(train_dset["filename"][0]	,				f'{name}-train'  )
																		self.assertEqual(train_dset.num_rows	,				1_00  )
																		self.assertEqual(train_dset.num_columns	,				1  )
																		self.assertIsInstance(train_dset.split	,				_lowerCamelCase  )
																		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	,				_lowerCamelCase  )
																		self.assertEqual(str(test_dset.split  )	,				"test[:33%]"  )
																		del train_dset, test_dset
						def 					__A					( self				:					List[Any]  )							->					Optional[int]:
										__magic_name__	  = "my_name"
										__magic_name__	  = SplitInfo(name="train"	,				num_examples=10_00	,				shard_lengths=[1_00] * 10  )
										__magic_name__	  = [train_info]
										__magic_name__	  = SplitDict()
										split_dict.add(_lowerCamelCase  )
										__magic_name__	  = DatasetInfo(splits=_lowerCamelCase  )

										with tempfile.TemporaryDirectory() as tmp_dir:
														__magic_name__	  = ReaderTest(_lowerCamelCase	,				_lowerCamelCase  )

														__magic_name__	  = "train[:33%]"
														__magic_name__	  = Dataset(**reader.read(_lowerCamelCase	,				_lowerCamelCase	,				_lowerCamelCase  )  )
														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	,				3_30  )
														self.assertEqual(dset.num_columns	,				1  )

						def 					__A					( self				:					List[str]  )							->					List[Any]:
										__magic_name__	  = SplitInfo(name="train"	,				num_examples=1_00  )
										__magic_name__	  = SplitInfo(name="test"	,				num_examples=1_00  )
										__magic_name__	  = SplitDict()
										split_dict.add(_lowerCamelCase  )
										split_dict.add(_lowerCamelCase  )
										__magic_name__	  = DatasetInfo(splits=_lowerCamelCase  )

										with tempfile.TemporaryDirectory() as tmp_dir:
														__magic_name__	  = ReaderTest(_lowerCamelCase	,				_lowerCamelCase  )

														__magic_name__	  = [
														    {"filename": os.path.join(_lowerCamelCase	,				"train"  )},
														    {"filename": os.path.join(_lowerCamelCase	,				"test"  ), "skip": 10, "take": 10},
														]
														__magic_name__	  = Dataset(**reader.read_files(_lowerCamelCase	,				original_instructions="train+test[10:20]"  )  )
														self.assertEqual(dset.num_rows	,				1_10  )
														self.assertEqual(dset.num_columns	,				1  )
														del dset





@pytest.mark.parametrize("in_memory"	,  [False, True]						)
def      __snake_case       (       lowerCamelCase_ :				List[Any]	,  lowerCamelCase_ :				int	,  lowerCamelCase_ :				str						):
				'''simple docstring'''




				__magic_name__	  = arrow_file
				with assert_arrow_memory_increases() if in_memory else assert_arrow_memory_doesnt_increase():
								__magic_name__	  = ArrowReader.read_table(lowerCamelCase_	,  in_memory=lowerCamelCase_						)
				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      __snake_case       (       lowerCamelCase_ :				Optional[int]	,  lowerCamelCase_ :				List[str]	,  lowerCamelCase_ :				Optional[int]						):
				'''simple docstring'''




				__magic_name__	  = arrow_file
				__magic_name__	  = ArrowReader(""	,  lowerCamelCase_						)
				with assert_arrow_memory_increases() if in_memory else assert_arrow_memory_doesnt_increase():
								__magic_name__	  = reader.read_files([{"filename": filename}]	,  in_memory=lowerCamelCase_						)
				assert dataset_kwargs.keys() == {"arrow_table", "info", "split"}
				__magic_name__	  = 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      __snake_case       (       ):
				'''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%]"

				__magic_name__	  = "train+test"
				assert ReadInstruction.from_spec(lowerCamelCase_						).to_spec() == spec_train_test

				__magic_name__	  = "train[2:10]"
				assert ReadInstruction.from_spec(lowerCamelCase_						).to_spec() == spec_train_abs

				__magic_name__	  = "train[15%:-20%]"
				assert ReadInstruction.from_spec(lowerCamelCase_						).to_spec() == spec_train_pct

				__magic_name__	  = "train[:10%](closest)"
				assert ReadInstruction.from_spec(lowerCamelCase_						).to_spec() == "train[:10%]"

				__magic_name__	  = "train[:10%](pct1_dropremainder)"
				assert ReadInstruction.from_spec(lowerCamelCase_						).to_spec() == spec_train_pct_rounding

				__magic_name__	  = "train[:10%](pct1_dropremainder)+test[-10%:](pct1_dropremainder)"
				assert ReadInstruction.from_spec(lowerCamelCase_						).to_spec() == spec_train_test_pct_rounding




def      __snake_case       (       ):
				'''simple docstring'''




				__magic_name__	  = "dummy"
				__magic_name__	  = [SplitInfo(name="train"	,  num_examples=100						)]
				__magic_name__	  = "train[:33%]"
				__magic_name__	  = "arrow"
				__magic_name__	  = "prefix"

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

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




@pytest.mark.parametrize("name, expected_exception"	,  [(None, TypeError), ("", ValueError)]						)
def      __snake_case       (       lowerCamelCase_ :				int	,  lowerCamelCase_ :				str						):
				'''simple docstring'''




				__magic_name__	  = [SplitInfo(name="train"	,  num_examples=100						)]
				__magic_name__	  = "train"
				__magic_name__	  = "arrow"
				__magic_name__	  = "prefix_path"
				with pytest.raises(lowerCamelCase_						):
								__magic_name__	  = make_file_instructions(lowerCamelCase_	,  lowerCamelCase_	,  lowerCamelCase_	,  lowerCamelCase_	,  lowerCamelCase_						)







'''simple docstring'''
import numpy as np

__magic_name__   :   str  							=[
    ['a', 'b', 'c', 'd', 'e'],
    ['f', 'g', 'h', 'i', 'k'],
    ['l', 'm', 'n', 'o', 'p'],
    ['q', 'r', 's', 't', 'u'],
    ['v', 'w', 'x', 'y', 'z'],
]






class 		UpperCamelCase_		:





						"""simple docstring"""




						def __init__( self				:					Union[str, Any]  )							->					None:
										__magic_name__	  = np.array(_lowerCamelCase  )
						def 					__A					( self				:					List[str]	,				_lowerCamelCase				:					str  )							->					np.ndarray:
										__magic_name__  ,      __magic_name__	  = np.where(letter == self.SQUARE  )
										__magic_name__	  = np.concatenate([indexa + 1, indexa + 1]  )
										return indexes
						def 					__A					( self				:					Any	,				_lowerCamelCase				:					int	,				_lowerCamelCase				:					int  )							->					str:
										return self.SQUARE[indexa - 1, indexa - 1]
						def 					__A					( self				:					Union[str, Any]	,				_lowerCamelCase				:					str  )							->					str:
										__magic_name__	  = message.lower()
										__magic_name__	  = message.replace("j"	,				"i"  )

										__magic_name__	  = ""
										for letter_index in range(len(_lowerCamelCase  )  ):
														if message[letter_index] != " ":
																		__magic_name__	  = self.letter_to_numbers(message[letter_index]  )
																		__magic_name__	  = encoded_message + str(numbers[0]  ) + str(numbers[1]  )
														elif message[letter_index] == " ":
																		__magic_name__	  = encoded_message + " "

										return encoded_message

						def 					__A					( self				:					Optional[Any]	,				_lowerCamelCase				:					str  )							->					str:
										__magic_name__	  = message.replace(" "	,				"  "  )
										__magic_name__	  = ""
										for numbers_index in range(int(len(_lowerCamelCase  ) / 2  )  ):
														if message[numbers_index * 2] != " ":
																		__magic_name__	  = message[numbers_index * 2]
																		__magic_name__	  = message[numbers_index * 2 + 1]

																		__magic_name__	  = self.numbers_to_letter(int(_lowerCamelCase  )	,				int(_lowerCamelCase  )  )
																		__magic_name__	  = decoded_message + letter
														elif message[numbers_index * 2] == " ":
																		__magic_name__	  = decoded_message + " "

										return decoded_message



