
"""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__					(					__magic_name__				):





			'''simple docstring'''



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







class 		lowerCamelCase__					(					__magic_name__				):





			'''simple docstring'''



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

				with tempfile.TemporaryDirectory() as tmp_dir:
					_lowerCAmelCase								=ReaderTest(__UpperCAmelCase     ,     __UpperCAmelCase  )

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

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



			def 					_lowerCAmelCase		(							self  ) ->     Tuple:
				_lowerCAmelCase								="""my_name"""
				_lowerCAmelCase								=SplitInfo(name="""train"""     ,     num_examples=10_00     ,     shard_lengths=[1_00] * 10  )
				_lowerCAmelCase								=[train_info]
				_lowerCAmelCase								=SplitDict()
				split_dict.add(__UpperCAmelCase  )
				_lowerCAmelCase								=DatasetInfo(splits=__UpperCAmelCase  )

				with tempfile.TemporaryDirectory() as tmp_dir:
					_lowerCAmelCase								=ReaderTest(__UpperCAmelCase     ,     __UpperCAmelCase  )

					_lowerCAmelCase								="""train[:33%]"""
					_lowerCAmelCase								=Dataset(**reader.read(__UpperCAmelCase     ,     __UpperCAmelCase     ,     __UpperCAmelCase  )  )
					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 					_lowerCAmelCase		(							self  ) ->     str:
				_lowerCAmelCase								=SplitInfo(name="""train"""     ,     num_examples=1_00  )
				_lowerCAmelCase								=SplitInfo(name="""test"""     ,     num_examples=1_00  )
				_lowerCAmelCase								=SplitDict()
				split_dict.add(__UpperCAmelCase  )
				split_dict.add(__UpperCAmelCase  )
				_lowerCAmelCase								=DatasetInfo(splits=__UpperCAmelCase  )

				with tempfile.TemporaryDirectory() as tmp_dir:
					_lowerCAmelCase								=ReaderTest(__UpperCAmelCase     ,     __UpperCAmelCase  )

					_lowerCAmelCase								=[
					    {"""filename""": os.path.join(__UpperCAmelCase     ,     """train"""  )},
					    {"""filename""": os.path.join(__UpperCAmelCase     ,     """test"""  ), """skip""": 10, """take""": 10},
					]
					_lowerCAmelCase								=Dataset(**reader.read_files(__UpperCAmelCase     ,     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     _lowerCamelCase(__UpperCamelCase    , __UpperCamelCase    , __UpperCamelCase       )				-> Optional[Any]:
	_lowerCAmelCase								=arrow_file
	with assert_arrow_memory_increases() if in_memory else assert_arrow_memory_doesnt_increase():
		_lowerCAmelCase								=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    , __UpperCamelCase    , __UpperCamelCase       )				-> Optional[int]:
	_lowerCAmelCase								=arrow_file
	_lowerCAmelCase								=ArrowReader(""""""    , __UpperCamelCase       )
	with assert_arrow_memory_increases() if in_memory else assert_arrow_memory_doesnt_increase():
		_lowerCAmelCase								=reader.read_files([{"""filename""": filename}]    , in_memory=__UpperCamelCase       )
	assert dataset_kwargs.keys() == {"arrow_table", "info", "split"}
	_lowerCAmelCase								=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()				-> List[Any]:
	assert ReadInstruction("""train"""    , to=10    , unit="""abs"""       ).to_spec() == "train[:10]"
	assert ReadInstruction("""train"""    , from_=-80    , to=10    , unit="""%"""       ).to_spec() == "train[-80%:10%]"

	_lowerCAmelCase								="""train+test"""
	assert ReadInstruction.from_spec(__UpperCamelCase       ).to_spec() == spec_train_test

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

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

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

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

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



def     _lowerCamelCase()				-> Optional[int]:
	_lowerCAmelCase								="""dummy"""
	_lowerCAmelCase								=[SplitInfo(name="""train"""    , num_examples=100       )]
	_lowerCAmelCase								="""train[:33%]"""
	_lowerCAmelCase								="""arrow"""
	_lowerCAmelCase								="""prefix"""

	_lowerCAmelCase								=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}
	]

	_lowerCAmelCase								=[SplitInfo(name="""train"""    , num_examples=100    , shard_lengths=[10] * 10       )]
	_lowerCAmelCase								=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    , __UpperCamelCase       )				-> Tuple:
	_lowerCAmelCase								=[SplitInfo(name="""train"""    , num_examples=100       )]
	_lowerCAmelCase								="""train"""
	_lowerCAmelCase								="""arrow"""
	_lowerCAmelCase								="""prefix_path"""
	with pytest.raises(__UpperCamelCase       ):
		_lowerCAmelCase								=make_file_instructions(__UpperCamelCase    , __UpperCamelCase    , __UpperCamelCase    , __UpperCamelCase    , __UpperCamelCase       )







import doctest

import projectq
from projectq.ops import H, Measure
def       UpperCamelCase__     (  SCREAMING_SNAKE_CASE__						):
 __lowerCamelCase		:							int							=						quantum_engine.allocate_qubit()
 H | qubit
 Measure | qubit
 return int(SCREAMING_SNAKE_CASE__						)


if __name__ == "__main__":
       doctest.testmod()

       # initialises a new quantum backend
       lowercase_           =	projectq.MainEngine()

       # Generate a list of 10 random numbers
       lowercase_           =	[get_random_number(quantum_engine) for _ in range(1_0)]

       # Flushes the quantum engine from memory
       quantum_engine.flush()

       print('Random numbers', random_numbers_list)

