
"""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      lowerCAmelCase_						(a__  ):


				"""simple docstring"""



				def      __magic_name__   (self       ,	SCREAMING_SNAKE_CASE__       ,	SCREAMING_SNAKE_CASE__=False   ) ->		List[str]:



											"""simple docstring"""




											SCREAMING_SNAKE_CASE__				,				SCREAMING_SNAKE_CASE__				,				SCREAMING_SNAKE_CASE__						:	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(SCREAMING_SNAKE_CASE__   )       ,	"""wb"""   ).close()
											SCREAMING_SNAKE_CASE__						:	Union[str, Any]									=       pa.Table.from_pydict({"""filename""": [Path(SCREAMING_SNAKE_CASE__   ).name] * 1_00}   )
											if take == -1:
																		SCREAMING_SNAKE_CASE__						:	List[str]									=       len(SCREAMING_SNAKE_CASE__   ) - skip
											if skip is not None and take is not None:
																		SCREAMING_SNAKE_CASE__						:	int									=       pa_table.slice(SCREAMING_SNAKE_CASE__       ,	SCREAMING_SNAKE_CASE__   )
											return pa_table






class      lowerCAmelCase_						(a__  ):


				"""simple docstring"""



				def      __magic_name__   (self   ) ->		Dict:



											"""simple docstring"""




											SCREAMING_SNAKE_CASE__						:	Union[str, Any]									=       """my_name"""
											SCREAMING_SNAKE_CASE__						:	Tuple									=       SplitInfo(name="""train"""       ,	num_examples=1_00   )
											SCREAMING_SNAKE_CASE__						:	Dict									=       SplitInfo(name="""test"""       ,	num_examples=1_00   )
											SCREAMING_SNAKE_CASE__						:	int									=       [train_info, test_info]
											SCREAMING_SNAKE_CASE__						:	List[Any]									=       SplitDict()
											split_dict.add(SCREAMING_SNAKE_CASE__   )
											split_dict.add(SCREAMING_SNAKE_CASE__   )
											SCREAMING_SNAKE_CASE__						:	Optional[int]									=       DatasetInfo(splits=SCREAMING_SNAKE_CASE__   )

											with tempfile.TemporaryDirectory() as tmp_dir:
																		SCREAMING_SNAKE_CASE__						:	Union[str, Any]									=       ReaderTest(SCREAMING_SNAKE_CASE__       ,	SCREAMING_SNAKE_CASE__   )

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

																		SCREAMING_SNAKE_CASE__						:	Union[str, Any]									=       ["""train""", """test[:33%]"""]
																		SCREAMING_SNAKE_CASE__						:	Dict									=       [Split.TRAIN, ReadInstruction.from_spec("""test[:33%]"""   )]
																		for instructions in [instructionsa, instructionsa]:
																									SCREAMING_SNAKE_CASE__						:	Any									=       [reader.read(SCREAMING_SNAKE_CASE__       ,	SCREAMING_SNAKE_CASE__       ,	SCREAMING_SNAKE_CASE__   ) for instr in instructions]
																									SCREAMING_SNAKE_CASE__				,				SCREAMING_SNAKE_CASE__						:	str									=       (Dataset(**SCREAMING_SNAKE_CASE__   ) 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       ,	SCREAMING_SNAKE_CASE__   )
																									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       ,	SCREAMING_SNAKE_CASE__   )
																									self.assertEqual(str(test_dset.split   )       ,	"""test[:33%]"""   )
																									del train_dset, test_dset



				def      __magic_name__   (self   ) ->		Tuple:



											"""simple docstring"""




											SCREAMING_SNAKE_CASE__						:	Optional[Any]									=       """my_name"""
											SCREAMING_SNAKE_CASE__						:	int									=       SplitInfo(name="""train"""       ,	num_examples=10_00       ,	shard_lengths=[1_00] * 10   )
											SCREAMING_SNAKE_CASE__						:	Optional[Any]									=       [train_info]
											SCREAMING_SNAKE_CASE__						:	Optional[int]									=       SplitDict()
											split_dict.add(SCREAMING_SNAKE_CASE__   )
											SCREAMING_SNAKE_CASE__						:	List[str]									=       DatasetInfo(splits=SCREAMING_SNAKE_CASE__   )

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

																		SCREAMING_SNAKE_CASE__						:	List[str]									=       """train[:33%]"""
																		SCREAMING_SNAKE_CASE__						:	int									=       Dataset(**reader.read(SCREAMING_SNAKE_CASE__       ,	SCREAMING_SNAKE_CASE__       ,	SCREAMING_SNAKE_CASE__   )   )
																		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      __magic_name__   (self   ) ->		str:



											"""simple docstring"""




											SCREAMING_SNAKE_CASE__						:	Optional[Any]									=       SplitInfo(name="""train"""       ,	num_examples=1_00   )
											SCREAMING_SNAKE_CASE__						:	str									=       SplitInfo(name="""test"""       ,	num_examples=1_00   )
											SCREAMING_SNAKE_CASE__						:	Union[str, Any]									=       SplitDict()
											split_dict.add(SCREAMING_SNAKE_CASE__   )
											split_dict.add(SCREAMING_SNAKE_CASE__   )
											SCREAMING_SNAKE_CASE__						:	Dict									=       DatasetInfo(splits=SCREAMING_SNAKE_CASE__   )

											with tempfile.TemporaryDirectory() as tmp_dir:
																		SCREAMING_SNAKE_CASE__						:	Optional[Any]									=       ReaderTest(SCREAMING_SNAKE_CASE__       ,	SCREAMING_SNAKE_CASE__   )

																		SCREAMING_SNAKE_CASE__						:	Union[str, Any]									=       [
																		    {"""filename""": os.path.join(SCREAMING_SNAKE_CASE__       ,	"""train"""   )},
																		    {"""filename""": os.path.join(SCREAMING_SNAKE_CASE__       ,	"""test"""   ), """skip""": 10, """take""": 10},
																		]
																		SCREAMING_SNAKE_CASE__						:	str									=       Dataset(**reader.read_files(SCREAMING_SNAKE_CASE__       ,	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 lowercase_  (       _snake_case       ,_snake_case       ,_snake_case						):
							SCREAMING_SNAKE_CASE__						:	Dict									=       arrow_file
							with assert_arrow_memory_increases() if in_memory else assert_arrow_memory_doesnt_increase():
														SCREAMING_SNAKE_CASE__						:	Tuple									=       ArrowReader.read_table(_snake_case       ,in_memory=_snake_case						)
							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 lowercase_  (       _snake_case       ,_snake_case       ,_snake_case						):
							SCREAMING_SNAKE_CASE__						:	Any									=       arrow_file
							SCREAMING_SNAKE_CASE__						:	Union[str, Any]									=       ArrowReader(""""""       ,_snake_case						)
							with assert_arrow_memory_increases() if in_memory else assert_arrow_memory_doesnt_increase():
														SCREAMING_SNAKE_CASE__						:	str									=       reader.read_files([{"""filename""": filename}]       ,in_memory=_snake_case						)
							assert dataset_kwargs.keys() == {"arrow_table", "info", "split"}
							SCREAMING_SNAKE_CASE__						:	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 lowercase_  (       ):
							assert ReadInstruction("""train"""       ,to=10       ,unit="""abs"""						).to_spec() == "train[:10]"
							assert ReadInstruction("""train"""       ,from_=-80       ,to=10       ,unit="""%"""						).to_spec() == "train[-80%:10%]"

							SCREAMING_SNAKE_CASE__						:	Union[str, Any]									=       """train+test"""
							assert ReadInstruction.from_spec(_snake_case						).to_spec() == spec_train_test

							SCREAMING_SNAKE_CASE__						:	str									=       """train[2:10]"""
							assert ReadInstruction.from_spec(_snake_case						).to_spec() == spec_train_abs

							SCREAMING_SNAKE_CASE__						:	int									=       """train[15%:-20%]"""
							assert ReadInstruction.from_spec(_snake_case						).to_spec() == spec_train_pct

							SCREAMING_SNAKE_CASE__						:	List[str]									=       """train[:10%](closest)"""
							assert ReadInstruction.from_spec(_snake_case						).to_spec() == "train[:10%]"

							SCREAMING_SNAKE_CASE__						:	Optional[int]									=       """train[:10%](pct1_dropremainder)"""
							assert ReadInstruction.from_spec(_snake_case						).to_spec() == spec_train_pct_rounding

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

def lowercase_  (       ):
							SCREAMING_SNAKE_CASE__						:	Tuple									=       """dummy"""
							SCREAMING_SNAKE_CASE__						:	List[str]									=       [SplitInfo(name="""train"""       ,num_examples=100						)]
							SCREAMING_SNAKE_CASE__						:	Dict									=       """train[:33%]"""
							SCREAMING_SNAKE_CASE__						:	List[str]									=       """arrow"""
							SCREAMING_SNAKE_CASE__						:	List[Any]									=       """prefix"""

							SCREAMING_SNAKE_CASE__						:	List[str]									=       make_file_instructions(_snake_case       ,_snake_case       ,_snake_case       ,_snake_case       ,_snake_case						)
							assert isinstance(_snake_case       ,_snake_case						)
							assert file_instructions.num_examples == 33
							assert file_instructions.file_instructions == [
							    {"filename": os.path.join(_snake_case       ,f'''{name}-train.arrow'''						), "skip": 0, "take": 33}
							]

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

@pytest.mark.parametrize("""name, expected_exception"""       ,[(None, TypeError), ("""""", ValueError)]						)
def lowercase_  (       _snake_case       ,_snake_case						):
							SCREAMING_SNAKE_CASE__						:	List[str]									=       [SplitInfo(name="""train"""       ,num_examples=100						)]
							SCREAMING_SNAKE_CASE__						:	str									=       """train"""
							SCREAMING_SNAKE_CASE__						:	Any									=       """arrow"""
							SCREAMING_SNAKE_CASE__						:	Dict									=       """prefix_path"""
							with pytest.raises(_snake_case						):
														SCREAMING_SNAKE_CASE__						:	Dict									=       make_file_instructions(_snake_case       ,_snake_case       ,_snake_case       ,_snake_case       ,_snake_case						)






"""simple docstring"""




def lowercase_  (       _snake_case       ,_snake_case						):
							SCREAMING_SNAKE_CASE__						:	Optional[int]									=       []
							SCREAMING_SNAKE_CASE__						:	Union[str, Any]									=       len(_snake_case						)
							for i in range(_snake_case						):
														SCREAMING_SNAKE_CASE__						:	Dict									=       []
														for j in range(_snake_case						):
																					SCREAMING_SNAKE_CASE__						:	Optional[Any]									=       0
																					for k in range(_snake_case						):
																												SCREAMING_SNAKE_CASE__						:	Optional[int]									=       val + matrix_a[i][k] * matrix_b[k][j]
																					list_a.append(_snake_case						)
														matrix_c.append(_snake_case						)
							return matrix_c

def lowercase_  (       _snake_case						):
							return [[int(row == column						) for column in range(_snake_case						)] for row in range(_snake_case						)]

def lowercase_  (       _snake_case						):
							if n <= 1:
														return n
							SCREAMING_SNAKE_CASE__						:	Tuple									=       identity(2						)
							SCREAMING_SNAKE_CASE__						:	str									=       [[1, 1], [1, 0]]
							SCREAMING_SNAKE_CASE__						:	str									=       n - 1
							while n > 0:
														if n % 2 == 1:
																					SCREAMING_SNAKE_CASE__						:	List[str]									=       multiply(_snake_case       ,_snake_case						)
														SCREAMING_SNAKE_CASE__						:	int									=       multiply(_snake_case       ,_snake_case						)
														SCREAMING_SNAKE_CASE__						:	List[str]									=       int(n / 2						)
							return res_matrix[0][0]

def lowercase_  (       _snake_case						):
							if n <= 1:
														return n
							SCREAMING_SNAKE_CASE__						:	int									=       0
							SCREAMING_SNAKE_CASE__						:	str									=       1
							for _ in range(2       ,n + 1						):
														SCREAMING_SNAKE_CASE__				,				SCREAMING_SNAKE_CASE__						:	Optional[int]									=       fiba, fiba + fiba
							return fiba

def lowercase_  (       ):
							for ordinal in "0th 1st 2nd 3rd 10th 100th 1000th".split():
														SCREAMING_SNAKE_CASE__						:	Union[str, Any]									=       int("""""".join(c for c in ordinal if c in """0123456789"""						)						)  # 1000th --> 1000
														print(
														    f'''{ordinal} fibonacci number using matrix exponentiation is '''
														    f'''{nth_fibonacci_matrix(_snake_case						)} and using bruteforce is '''
														    f'''{nth_fibonacci_bruteforce(_snake_case						)}\n'''						)
							# from timeit import timeit
							# print(timeit("nth_fibonacci_matrix(1000000)",
							#              "from main import nth_fibonacci_matrix", number=5))
							# print(timeit("nth_fibonacci_bruteforce(1000000)",
							#              "from main import nth_fibonacci_bruteforce", number=5))
							# 2.3342058970001744
							# 57.256506615000035


if __name__ == "__main__":
					import doctest

					doctest.testmod()
					main()




