
from ...utils import is_transformers_available
from .pipeline_latent_diffusion_superresolution import LDMSuperResolutionPipeline


if is_transformers_available():
		from .pipeline_latent_diffusion import LDMBertModel, LDMTextToImagePipeline


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 						__magic_name__				(  snake_case      ):





		def  _A							(							self      :		Any  ,					lowerCamelCase__      :		Any  ,					lowerCamelCase__      :		List[Any]=False			):
							lowerCAmelCase		,							lowerCAmelCase		,							lowerCAmelCase						:   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(lowerCamelCase__			)  ,					'''wb'''			).close()
							lowerCAmelCase						:   int							=       pa.Table.from_pydict({'''filename''': [Path(lowerCamelCase__			).name] * 1_0_0}			)
							if take == -1:
												lowerCAmelCase						:   Optional[int]							=       len(lowerCamelCase__			) - skip
							if skip is not None and take is not None:
												lowerCAmelCase						:   List[str]							=       pa_table.slice(lowerCamelCase__  ,					lowerCamelCase__			)
							return pa_table



class 						__magic_name__				(  snake_case      ):





		def  _A							(							self      :		Union[str, Any]			):
							lowerCAmelCase						:   List[str]							=       '''my_name'''
							lowerCAmelCase						:   List[str]							=       SplitInfo(name='''train'''  ,					num_examples=1_0_0			)
							lowerCAmelCase						:   str							=       SplitInfo(name='''test'''  ,					num_examples=1_0_0			)
							lowerCAmelCase						:   int							=       [train_info, test_info]
							lowerCAmelCase						:   Union[str, Any]							=       SplitDict()
							split_dict.add(lowerCamelCase__			)
							split_dict.add(lowerCamelCase__			)
							lowerCAmelCase						:   Union[str, Any]							=       DatasetInfo(splits=lowerCamelCase__			)

							with tempfile.TemporaryDirectory() as tmp_dir:
												lowerCAmelCase						:   Tuple							=       ReaderTest(lowerCamelCase__  ,					lowerCamelCase__			)

												lowerCAmelCase						:   int							=       '''test[:33%]'''
												lowerCAmelCase						:   Dict							=       Dataset(**reader.read(lowerCamelCase__  ,					lowerCamelCase__  ,					lowerCamelCase__			)			)
												self.assertEqual(dset['''filename'''][0]  ,					f'''{name}-test'''			)
												self.assertEqual(dset.num_rows  ,					3_3			)
												self.assertEqual(dset.num_columns  ,					1			)

												lowerCAmelCase						:   str							=       ['''train''', '''test[:33%]''']
												lowerCAmelCase						:   Tuple							=       [Split.TRAIN, ReadInstruction.from_spec('''test[:33%]'''			)]
												for instructions in [instructionsa, instructionsa]:
																	lowerCAmelCase						:   Optional[Any]							=       [reader.read(lowerCamelCase__  ,					lowerCamelCase__  ,					lowerCamelCase__			) for instr in instructions]
																	lowerCAmelCase		,							lowerCAmelCase						:   Tuple							=       (Dataset(**lowerCamelCase__			) 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  ,					lowerCamelCase__			)
																	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  ,					lowerCamelCase__			)
																	self.assertEqual(str(test_dset.split			)  ,					'''test[:33%]'''			)
																	del train_dset, test_dset





		def  _A							(							self      :		str			):
							lowerCAmelCase						:   Optional[Any]							=       '''my_name'''
							lowerCAmelCase						:   List[Any]							=       SplitInfo(name='''train'''  ,					num_examples=1_0_0_0  ,					shard_lengths=[1_0_0] * 1_0			)
							lowerCAmelCase						:   Optional[int]							=       [train_info]
							lowerCAmelCase						:   Union[str, Any]							=       SplitDict()
							split_dict.add(lowerCamelCase__			)
							lowerCAmelCase						:   Optional[Any]							=       DatasetInfo(splits=lowerCamelCase__			)

							with tempfile.TemporaryDirectory() as tmp_dir:
												lowerCAmelCase						:   Tuple							=       ReaderTest(lowerCamelCase__  ,					lowerCamelCase__			)

												lowerCAmelCase						:   Dict							=       '''train[:33%]'''
												lowerCAmelCase						:   int							=       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_3_0			)
												self.assertEqual(dset.num_columns  ,					1			)





		def  _A							(							self      :		Union[str, Any]			):
							lowerCAmelCase						:   Union[str, Any]							=       SplitInfo(name='''train'''  ,					num_examples=1_0_0			)
							lowerCAmelCase						:   int							=       SplitInfo(name='''test'''  ,					num_examples=1_0_0			)
							lowerCAmelCase						:   Optional[Any]							=       SplitDict()
							split_dict.add(lowerCamelCase__			)
							split_dict.add(lowerCamelCase__			)
							lowerCAmelCase						:   List[Any]							=       DatasetInfo(splits=lowerCamelCase__			)

							with tempfile.TemporaryDirectory() as tmp_dir:
												lowerCAmelCase						:   Optional[int]							=       ReaderTest(lowerCamelCase__  ,					lowerCamelCase__			)

												lowerCAmelCase						:   int							=       [
												    {'''filename''': os.path.join(lowerCamelCase__  ,					'''train'''			)},
												    {'''filename''': os.path.join(lowerCamelCase__  ,					'''test'''			), '''skip''': 1_0, '''take''': 1_0},
												]
												lowerCAmelCase						:   Optional[int]							=       Dataset(**reader.read_files(lowerCamelCase__  ,					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       UpperCAmelCase__							(    __magic_name__  :       Any							,					__magic_name__  :       Dict							,					__magic_name__  :       List[str]					):


					'''simple docstring'''

					lowerCAmelCase						:   Dict							=       arrow_file
					with assert_arrow_memory_increases() if in_memory else assert_arrow_memory_doesnt_increase():
										lowerCAmelCase						:   Any							=       ArrowReader.read_table(__magic_name__							,					in_memory=__magic_name__					)
					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       UpperCAmelCase__							(    __magic_name__  :       Union[str, Any]							,					__magic_name__  :       List[Any]							,					__magic_name__  :       Dict					):


					'''simple docstring'''

					lowerCAmelCase						:   Any							=       arrow_file
					lowerCAmelCase						:   Union[str, Any]							=       ArrowReader(''''''							,					__magic_name__					)
					with assert_arrow_memory_increases() if in_memory else assert_arrow_memory_doesnt_increase():
										lowerCAmelCase						:   Union[str, Any]							=       reader.read_files([{'''filename''': filename}]							,					in_memory=__magic_name__					)
					assert dataset_kwargs.keys() == {"arrow_table", "info", "split"}
					lowerCAmelCase						:   Any							=       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       UpperCAmelCase__							(    ):


					'''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%]"

					lowerCAmelCase						:   Tuple							=       '''train+test'''
					assert ReadInstruction.from_spec(__magic_name__					).to_spec() == spec_train_test

					lowerCAmelCase						:   List[Any]							=       '''train[2:10]'''
					assert ReadInstruction.from_spec(__magic_name__					).to_spec() == spec_train_abs

					lowerCAmelCase						:   Optional[Any]							=       '''train[15%:-20%]'''
					assert ReadInstruction.from_spec(__magic_name__					).to_spec() == spec_train_pct

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

					lowerCAmelCase						:   Optional[int]							=       '''train[:10%](pct1_dropremainder)'''
					assert ReadInstruction.from_spec(__magic_name__					).to_spec() == spec_train_pct_rounding

					lowerCAmelCase						:   Optional[int]							=       '''train[:10%](pct1_dropremainder)+test[-10%:](pct1_dropremainder)'''
					assert ReadInstruction.from_spec(__magic_name__					).to_spec() == spec_train_test_pct_rounding
def       UpperCAmelCase__							(    ):


					'''simple docstring'''

					lowerCAmelCase						:   List[Any]							=       '''dummy'''
					lowerCAmelCase						:   Optional[Any]							=       [SplitInfo(name='''train'''							,					num_examples=1_00					)]
					lowerCAmelCase						:   Optional[int]							=       '''train[:33%]'''
					lowerCAmelCase						:   Dict							=       '''arrow'''
					lowerCAmelCase						:   Optional[int]							=       '''prefix'''

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

					lowerCAmelCase						:   Dict							=       [SplitInfo(name='''train'''							,					num_examples=1_00							,					shard_lengths=[10] * 10					)]
					lowerCAmelCase						:   str							=       make_file_instructions(__magic_name__							,					__magic_name__							,					__magic_name__							,					__magic_name__							,					__magic_name__					)
					assert isinstance(__magic_name__							,					__magic_name__					)
					assert file_instructions.num_examples == 33
					assert file_instructions.file_instructions == [
					    {"filename": os.path.join(__magic_name__							,					f'''{name}-train-00000-of-00010.arrow'''					), "skip": 0, "take": -1},
					    {"filename": os.path.join(__magic_name__							,					f'''{name}-train-00001-of-00010.arrow'''					), "skip": 0, "take": -1},
					    {"filename": os.path.join(__magic_name__							,					f'''{name}-train-00002-of-00010.arrow'''					), "skip": 0, "take": -1},
					    {"filename": os.path.join(__magic_name__							,					f'''{name}-train-00003-of-00010.arrow'''					), "skip": 0, "take": 3},
					]
@pytest.mark.parametrize('''name, expected_exception'''							,					[(None, TypeError), ('''''', ValueError)]					)
def       UpperCAmelCase__							(    __magic_name__  :       int							,					__magic_name__  :       Optional[int]					):


					'''simple docstring'''

					lowerCAmelCase						:   Any							=       [SplitInfo(name='''train'''							,					num_examples=1_00					)]
					lowerCAmelCase						:   List[Any]							=       '''train'''
					lowerCAmelCase						:   Tuple							=       '''arrow'''
					lowerCAmelCase						:   List[Any]							=       '''prefix_path'''
					with pytest.raises(__magic_name__					):
										lowerCAmelCase						:   Optional[Any]							=       make_file_instructions(__magic_name__							,					__magic_name__							,					__magic_name__							,					__magic_name__							,					__magic_name__					)
