




"""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  __lowercase    (     snake_case_		):


				'''simple docstring'''


				def  _lowerCamelCase   (				self				:       Union[str, Any] ,SCREAMING_SNAKE_CASE_				:       Dict ,SCREAMING_SNAKE_CASE_				:       Optional[int]=False ):
										snake_case__     ,		snake_case__     ,		snake_case__    :   int							     =   (
										    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()
										snake_case__    :   Union[str, Any]							     =   pa.Table.from_pydict({'''filename''': [Path(SCREAMING_SNAKE_CASE_ ).name] * 1_0_0} )
										if take == -1:
																snake_case__    :   Dict							     =   len(SCREAMING_SNAKE_CASE_ ) - skip
										if skip is not None and take is not None:
																snake_case__    :   Optional[int]							     =   pa_table.slice(SCREAMING_SNAKE_CASE_ ,SCREAMING_SNAKE_CASE_ )
										return pa_table







class  __lowercase    (     snake_case_		):


				'''simple docstring'''


				def  _lowerCamelCase   (				self				:       str ):
										snake_case__    :   Dict							     =   '''my_name'''
										snake_case__    :   Dict							     =   SplitInfo(name='''train''' ,num_examples=1_0_0 )
										snake_case__    :   int							     =   SplitInfo(name='''test''' ,num_examples=1_0_0 )
										snake_case__    :   str							     =   [train_info, test_info]
										snake_case__    :   int							     =   SplitDict()
										split_dict.add(SCREAMING_SNAKE_CASE_ )
										split_dict.add(SCREAMING_SNAKE_CASE_ )
										snake_case__    :   int							     =   DatasetInfo(splits=SCREAMING_SNAKE_CASE_ )

										with tempfile.TemporaryDirectory() as tmp_dir:
																snake_case__    :   Tuple							     =   ReaderTest(SCREAMING_SNAKE_CASE_ ,SCREAMING_SNAKE_CASE_ )

																snake_case__    :   Optional[Any]							     =   '''test[:33%]'''
																snake_case__    :   Dict							     =   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 ,3_3 )
																self.assertEqual(dset.num_columns ,1 )

																snake_case__    :   Any							     =   ['''train''', '''test[:33%]''']
																snake_case__    :   str							     =   [Split.TRAIN, ReadInstruction.from_spec('''test[:33%]''' )]
																for instructions in [instructionsa, instructionsa]:
																						snake_case__    :   int							     =   [reader.read(SCREAMING_SNAKE_CASE_ ,SCREAMING_SNAKE_CASE_ ,SCREAMING_SNAKE_CASE_ ) for instr in instructions]
																						snake_case__     ,		snake_case__    :   Union[str, Any]							     =   (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_0_0 )
																						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 ,3_3 )
																						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  _lowerCamelCase   (				self				:       Optional[Any] ):
										snake_case__    :   Optional[int]							     =   '''my_name'''
										snake_case__    :   int							     =   SplitInfo(name='''train''' ,num_examples=1_0_0_0 ,shard_lengths=[1_0_0] * 1_0 )
										snake_case__    :   Union[str, Any]							     =   [train_info]
										snake_case__    :   int							     =   SplitDict()
										split_dict.add(SCREAMING_SNAKE_CASE_ )
										snake_case__    :   Optional[int]							     =   DatasetInfo(splits=SCREAMING_SNAKE_CASE_ )

										with tempfile.TemporaryDirectory() as tmp_dir:
																snake_case__    :   Tuple							     =   ReaderTest(SCREAMING_SNAKE_CASE_ ,SCREAMING_SNAKE_CASE_ )

																snake_case__    :   Tuple							     =   '''train[:33%]'''
																snake_case__    :   Tuple							     =   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_3_0 )
																self.assertEqual(dset.num_columns ,1 )





				def  _lowerCamelCase   (				self				:       Any ):
										snake_case__    :   str							     =   SplitInfo(name='''train''' ,num_examples=1_0_0 )
										snake_case__    :   Tuple							     =   SplitInfo(name='''test''' ,num_examples=1_0_0 )
										snake_case__    :   Any							     =   SplitDict()
										split_dict.add(SCREAMING_SNAKE_CASE_ )
										split_dict.add(SCREAMING_SNAKE_CASE_ )
										snake_case__    :   Tuple							     =   DatasetInfo(splits=SCREAMING_SNAKE_CASE_ )

										with tempfile.TemporaryDirectory() as tmp_dir:
																snake_case__    :   int							     =   ReaderTest(SCREAMING_SNAKE_CASE_ ,SCREAMING_SNAKE_CASE_ )

																snake_case__    :   int							     =   [
																    {'''filename''': os.path.join(SCREAMING_SNAKE_CASE_ ,'''train''' )},
																    {'''filename''': os.path.join(SCREAMING_SNAKE_CASE_ ,'''test''' ), '''skip''': 1_0, '''take''': 1_0},
																]
																snake_case__    :   Any							     =   Dataset(**reader.read_files(SCREAMING_SNAKE_CASE_ ,original_instructions='''train+test[10:20]''' ) )
																self.assertEqual(dset.num_rows ,1_1_0 )
																self.assertEqual(dset.num_columns ,1 )
																del dset







@pytest.mark.parametrize('''in_memory''' ,     [False, True]						)
def 						lowerCAmelCase							(	lowerCamelCase ,     lowerCamelCase ,     lowerCamelCase						):
						'''simple docstring'''


						snake_case__    :   Any							     =   arrow_file
						with assert_arrow_memory_increases() if in_memory else assert_arrow_memory_doesnt_increase():
												snake_case__    :   Union[str, Any]							     =   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 						lowerCAmelCase							(	lowerCamelCase ,     lowerCamelCase ,     lowerCamelCase						):
						'''simple docstring'''


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

						snake_case__    :   Dict							     =   '''train+test'''
						assert ReadInstruction.from_spec(lowerCamelCase						).to_spec() == spec_train_test

						snake_case__    :   List[str]							     =   '''train[2:10]'''
						assert ReadInstruction.from_spec(lowerCamelCase						).to_spec() == spec_train_abs

						snake_case__    :   Union[str, Any]							     =   '''train[15%:-20%]'''
						assert ReadInstruction.from_spec(lowerCamelCase						).to_spec() == spec_train_pct

						snake_case__    :   List[Any]							     =   '''train[:10%](closest)'''
						assert ReadInstruction.from_spec(lowerCamelCase						).to_spec() == "train[:10%]"

						snake_case__    :   Dict							     =   '''train[:10%](pct1_dropremainder)'''
						assert ReadInstruction.from_spec(lowerCamelCase						).to_spec() == spec_train_pct_rounding

						snake_case__    :   Tuple							     =   '''train[:10%](pct1_dropremainder)+test[-10%:](pct1_dropremainder)'''
						assert ReadInstruction.from_spec(lowerCamelCase						).to_spec() == spec_train_test_pct_rounding

def 						lowerCAmelCase							(	):
						'''simple docstring'''


						snake_case__    :   int							     =   '''dummy'''
						snake_case__    :   Union[str, Any]							     =   [SplitInfo(name='''train''' ,     num_examples=100						)]
						snake_case__    :   List[Any]							     =   '''train[:33%]'''
						snake_case__    :   int							     =   '''arrow'''
						snake_case__    :   Optional[Any]							     =   '''prefix'''

						snake_case__    :   Optional[Any]							     =   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}
						]

						snake_case__    :   Tuple							     =   [SplitInfo(name='''train''' ,     num_examples=100 ,     shard_lengths=[10] * 10						)]
						snake_case__    :   List[Any]							     =   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 						lowerCAmelCase							(	lowerCamelCase ,     lowerCamelCase						):
						'''simple docstring'''


						snake_case__    :   int							     =   [SplitInfo(name='''train''' ,     num_examples=100						)]
						snake_case__    :   Optional[int]							     =   '''train'''
						snake_case__    :   int							     =   '''arrow'''
						snake_case__    :   Dict							     =   '''prefix_path'''
						with pytest.raises(lowerCamelCase						):
												snake_case__    :   Dict							     =   make_file_instructions(lowerCamelCase ,     lowerCamelCase ,     lowerCamelCase ,     lowerCamelCase ,     lowerCamelCase						)








"""simple docstring"""





from __future__ import annotations

import math
import random

def 						lowerCAmelCase							(	lowerCamelCase ,     lowerCamelCase ,     lowerCamelCase						):
						'''simple docstring'''


						snake_case__    :   Tuple							     =   d * e - 1
						snake_case__    :   Optional[int]							     =   0
						snake_case__    :   Tuple							     =   0
						while p == 0:
												snake_case__    :   Optional[int]							     =   random.randint(2 ,     n - 1						)
												snake_case__    :   Tuple							     =   k
												while True:
																		if t % 2 == 0:
																								snake_case__    :   List[Any]							     =   t // 2
																								snake_case__    :   Union[str, Any]							     =   (g**t) % n
																								snake_case__    :   Dict							     =   math.gcd(x - 1 ,     lowerCamelCase						)
																								if x > 1 and y > 1:
																														snake_case__    :   Union[str, Any]							     =   y
																														snake_case__    :   str							     =   n // y
																														break  # find the correct factors
																		else:
																								break  # t is not divisible by 2, break and choose another g
						return sorted([p, q]						)


if __name__ == "__main__":
							import doctest

							doctest.testmod()


