






import contextlib
import csv
import json
import os
import sqlitea
import tarfile
import textwrap
import zipfile

import pyarrow as pa
import pyarrow.parquet as pq
import pytest

import datasets
import datasets.config






@pytest.fixture(scope='session')
def 					lowerCamelCase__					():
			SCREAMING_SNAKE_CASE							=			10
			SCREAMING_SNAKE_CASE							=			datasets.Features(
			    {
			        'tokens': datasets.Sequence(datasets.Value('string')),
			        'labels': datasets.Sequence(datasets.ClassLabel(names=['negative', 'positive'])),
			        'answers': datasets.Sequence(
			            {
			                'text': datasets.Value('string'),
			                'answer_start': datasets.Value('int32'),
			            }),
			        'id': datasets.Value('int64'),
			    })
			SCREAMING_SNAKE_CASE							=			datasets.Dataset.from_dict(
			    {
			        'tokens': [['foo'] * 5] * n,
			        'labels': [[1] * 5] * n,
			        'answers': [{'answer_start': [97], 'text': ['1976']}] * 10,
			        'id': list(range(_UpperCAmelCase)),
			    }				,							features=_UpperCAmelCase				,							)
			return dataset






@pytest.fixture(scope='session')
def 					lowerCamelCase__					(_UpperCAmelCase				,							_UpperCAmelCase):
			SCREAMING_SNAKE_CASE							=			str(tmp_path_factory.mktemp('data') / 'file.arrow')
			dataset.map(cache_file_name=_UpperCAmelCase)
			return filename


# FILE_CONTENT + files


a_		:    Tuple   							=     '\\n    Text data.\n    Second line of data.'






@pytest.fixture(scope='session')
def 					lowerCamelCase__					(_UpperCAmelCase):
			SCREAMING_SNAKE_CASE							=			tmp_path_factory.mktemp('data') / 'file.txt'
			SCREAMING_SNAKE_CASE							=			FILE_CONTENT
			with open(_UpperCAmelCase				,							'w') as f:
						f.write(_UpperCAmelCase)
			return filename






@pytest.fixture(scope='session')
def 					lowerCamelCase__					(_UpperCAmelCase):
			import bza

			SCREAMING_SNAKE_CASE							=			tmp_path_factory.mktemp('data') / 'file.txt.bz2'
			SCREAMING_SNAKE_CASE							=			bytes(_UpperCAmelCase				,							'utf-8')
			with bza.open(_UpperCAmelCase				,							'wb') as f:
						f.write(_UpperCAmelCase)
			return path






@pytest.fixture(scope='session')
def 					lowerCamelCase__					(_UpperCAmelCase):
			import gzip

			SCREAMING_SNAKE_CASE							=			str(tmp_path_factory.mktemp('data') / 'file.txt.gz')
			SCREAMING_SNAKE_CASE							=			bytes(_UpperCAmelCase				,							'utf-8')
			with gzip.open(_UpperCAmelCase				,							'wb') as f:
						f.write(_UpperCAmelCase)
			return path






@pytest.fixture(scope='session')
def 					lowerCamelCase__					(_UpperCAmelCase):
			if datasets.config.LZ4_AVAILABLE:
						import lza.frame

						SCREAMING_SNAKE_CASE							=			tmp_path_factory.mktemp('data') / 'file.txt.lz4'
						SCREAMING_SNAKE_CASE							=			bytes(_UpperCAmelCase				,							'utf-8')
						with lza.frame.open(_UpperCAmelCase				,							'wb') as f:
									f.write(_UpperCAmelCase)
						return path






@pytest.fixture(scope='session')
def 					lowerCamelCase__					(_UpperCAmelCase				,							_UpperCAmelCase):
			if datasets.config.PY7ZR_AVAILABLE:
						import pyazr

						SCREAMING_SNAKE_CASE							=			tmp_path_factory.mktemp('data') / 'file.txt.7z'
						with pyazr.SevenZipFile(_UpperCAmelCase				,							'w') as archive:
									archive.write(_UpperCAmelCase				,							arcname=os.path.basename(_UpperCAmelCase))
						return path






@pytest.fixture(scope='session')
def 					lowerCamelCase__					(_UpperCAmelCase				,							_UpperCAmelCase):
			import tarfile

			SCREAMING_SNAKE_CASE							=			tmp_path_factory.mktemp('data') / 'file.txt.tar'
			with tarfile.TarFile(_UpperCAmelCase				,							'w') as f:
						f.add(_UpperCAmelCase				,							arcname=os.path.basename(_UpperCAmelCase))
			return path






@pytest.fixture(scope='session')
def 					lowerCamelCase__					(_UpperCAmelCase):
			import lzma

			SCREAMING_SNAKE_CASE							=			tmp_path_factory.mktemp('data') / 'file.txt.xz'
			SCREAMING_SNAKE_CASE							=			bytes(_UpperCAmelCase				,							'utf-8')
			with lzma.open(_UpperCAmelCase				,							'wb') as f:
						f.write(_UpperCAmelCase)
			return path






@pytest.fixture(scope='session')
def 					lowerCamelCase__					(_UpperCAmelCase				,							_UpperCAmelCase):
			import zipfile

			SCREAMING_SNAKE_CASE							=			tmp_path_factory.mktemp('data') / 'file.txt.zip'
			with zipfile.ZipFile(_UpperCAmelCase				,							'w') as f:
						f.write(_UpperCAmelCase				,							arcname=os.path.basename(_UpperCAmelCase))
			return path






@pytest.fixture(scope='session')
def 					lowerCamelCase__					(_UpperCAmelCase):
			if datasets.config.ZSTANDARD_AVAILABLE:
						import zstandard as zstd

						SCREAMING_SNAKE_CASE							=			tmp_path_factory.mktemp('data') / 'file.txt.zst'
						SCREAMING_SNAKE_CASE							=			bytes(_UpperCAmelCase				,							'utf-8')
						with zstd.open(_UpperCAmelCase				,							'wb') as f:
									f.write(_UpperCAmelCase)
						return path






@pytest.fixture(scope='session')
def 					lowerCamelCase__					(_UpperCAmelCase):
			SCREAMING_SNAKE_CASE							=			tmp_path_factory.mktemp('data') / 'file.xml'
			SCREAMING_SNAKE_CASE							=			textwrap.dedent(
			    '\\n    <?xml version="1.0" encoding="UTF-8" ?>\n    <tmx version="1.4">\n      <header segtype="sentence" srclang="ca" />\n      <body>\n        <tu>\n          <tuv xml:lang="ca"><seg>Contingut 1</seg></tuv>\n          <tuv xml:lang="en"><seg>Content 1</seg></tuv>\n        </tu>\n        <tu>\n          <tuv xml:lang="ca"><seg>Contingut 2</seg></tuv>\n          <tuv xml:lang="en"><seg>Content 2</seg></tuv>\n        </tu>\n        <tu>\n          <tuv xml:lang="ca"><seg>Contingut 3</seg></tuv>\n          <tuv xml:lang="en"><seg>Content 3</seg></tuv>\n        </tu>\n        <tu>\n          <tuv xml:lang="ca"><seg>Contingut 4</seg></tuv>\n          <tuv xml:lang="en"><seg>Content 4</seg></tuv>\n        </tu>\n        <tu>\n          <tuv xml:lang="ca"><seg>Contingut 5</seg></tuv>\n          <tuv xml:lang="en"><seg>Content 5</seg></tuv>\n        </tu>\n      </body>\n    </tmx>')
			with open(_UpperCAmelCase				,							'w') as f:
						f.write(_UpperCAmelCase)
			return filename


a_		:    Tuple   							=     [
    {'col_1': '0', 'col_2': 0, 'col_3': 0.0},
    {'col_1': '1', 'col_2': 1, 'col_3': 1.0},
    {'col_1': '2', 'col_2': 2, 'col_3': 2.0},
    {'col_1': '3', 'col_2': 3, 'col_3': 3.0},
]
a_		:    Any   							=     [
    {'col_1': '4', 'col_2': 4, 'col_3': 4.0},
    {'col_1': '5', 'col_2': 5, 'col_3': 5.0},
]
a_		:    List[Any]   							=     {
    'col_1': ['0', '1', '2', '3'],
    'col_2': [0, 1, 2, 3],
    'col_3': [0.0, 1.0, 2.0, 3.0],
}

a_		:    Dict   							=     [
    {'col_3': 0.0, 'col_1': '0', 'col_2': 0},
    {'col_3': 1.0, 'col_1': '1', 'col_2': 1},
]

a_		:    List[Any]   							=     [
    {'col_1': 's0', 'col_2': 0, 'col_3': 0.0},
    {'col_1': 's1', 'col_2': 1, 'col_3': 1.0},
    {'col_1': 's2', 'col_2': 2, 'col_3': 2.0},
    {'col_1': 's3', 'col_2': 3, 'col_3': 3.0},
]






@pytest.fixture(scope='session')
def 					lowerCamelCase__					():
			return DATA_DICT_OF_LISTS






@pytest.fixture(scope='session')
def 					lowerCamelCase__					(_UpperCAmelCase):
			SCREAMING_SNAKE_CASE							=			datasets.Dataset.from_dict(_UpperCAmelCase)
			SCREAMING_SNAKE_CASE							=			str(tmp_path_factory.mktemp('data') / 'dataset.arrow')
			dataset.map(cache_file_name=_UpperCAmelCase)
			return path






@pytest.fixture(scope='session')
def 					lowerCamelCase__					(_UpperCAmelCase):
			SCREAMING_SNAKE_CASE							=			str(tmp_path_factory.mktemp('data') / 'dataset.sqlite')
			with contextlib.closing(sqlitea.connect(_UpperCAmelCase)) as con:
						SCREAMING_SNAKE_CASE							=			con.cursor()
						cur.execute('CREATE TABLE dataset(col_1 text, col_2 int, col_3 real)')
						for item in DATA:
									cur.execute('INSERT INTO dataset(col_1, col_2, col_3) VALUES (?, ?, ?)'				,							tuple(item.values()))
						con.commit()
			return path






@pytest.fixture(scope='session')
def 					lowerCamelCase__					(_UpperCAmelCase):
			SCREAMING_SNAKE_CASE							=			str(tmp_path_factory.mktemp('data') / 'dataset.csv')
			with open(_UpperCAmelCase				,							'w'				,							newline='') as f:
						SCREAMING_SNAKE_CASE							=			csv.DictWriter(_UpperCAmelCase				,							fieldnames=['col_1', 'col_2', 'col_3'])
						writer.writeheader()
						for item in DATA:
									writer.writerow(_UpperCAmelCase)
			return path






@pytest.fixture(scope='session')
def 					lowerCamelCase__					(_UpperCAmelCase):
			SCREAMING_SNAKE_CASE							=			str(tmp_path_factory.mktemp('data') / 'dataset2.csv')
			with open(_UpperCAmelCase				,							'w'				,							newline='') as f:
						SCREAMING_SNAKE_CASE							=			csv.DictWriter(_UpperCAmelCase				,							fieldnames=['col_1', 'col_2', 'col_3'])
						writer.writeheader()
						for item in DATA:
									writer.writerow(_UpperCAmelCase)
			return path






@pytest.fixture(scope='session')
def 					lowerCamelCase__					(_UpperCAmelCase				,							_UpperCAmelCase):
			import bza

			SCREAMING_SNAKE_CASE							=			tmp_path_factory.mktemp('data') / 'dataset.csv.bz2'
			with open(_UpperCAmelCase				,							'rb') as f:
						SCREAMING_SNAKE_CASE							=			f.read()
			# data = bytes(FILE_CONTENT, "utf-8")
			with bza.open(_UpperCAmelCase				,							'wb') as f:
						f.write(_UpperCAmelCase)
			return path






@pytest.fixture(scope='session')
def 					lowerCamelCase__					(_UpperCAmelCase				,							_UpperCAmelCase				,							_UpperCAmelCase):
			SCREAMING_SNAKE_CASE							=			tmp_path_factory.mktemp('data') / 'dataset.csv.zip'
			with zipfile.ZipFile(_UpperCAmelCase				,							'w') as f:
						f.write(_UpperCAmelCase				,							arcname=os.path.basename(_UpperCAmelCase))
						f.write(_UpperCAmelCase				,							arcname=os.path.basename(_UpperCAmelCase))
			return path






@pytest.fixture(scope='session')
def 					lowerCamelCase__					(_UpperCAmelCase				,							_UpperCAmelCase				,							_UpperCAmelCase):
			SCREAMING_SNAKE_CASE							=			tmp_path_factory.mktemp('data') / 'dataset.csv.zip'
			with zipfile.ZipFile(_UpperCAmelCase				,							'w') as f:
						f.write(_UpperCAmelCase				,							arcname=os.path.basename(csv_path.replace('.csv'				,							'.CSV')))
						f.write(_UpperCAmelCase				,							arcname=os.path.basename(csva_path.replace('.csv'				,							'.CSV')))
			return path






@pytest.fixture(scope='session')
def 					lowerCamelCase__					(_UpperCAmelCase				,							_UpperCAmelCase				,							_UpperCAmelCase):
			SCREAMING_SNAKE_CASE							=			tmp_path_factory.mktemp('data') / 'dataset_with_dir.csv.zip'
			with zipfile.ZipFile(_UpperCAmelCase				,							'w') as f:
						f.write(_UpperCAmelCase				,							arcname=os.path.join('main_dir'				,							os.path.basename(_UpperCAmelCase)))
						f.write(_UpperCAmelCase				,							arcname=os.path.join('main_dir'				,							os.path.basename(_UpperCAmelCase)))
			return path






@pytest.fixture(scope='session')
def 					lowerCamelCase__					(_UpperCAmelCase):
			SCREAMING_SNAKE_CASE							=			str(tmp_path_factory.mktemp('data') / 'dataset.parquet')
			SCREAMING_SNAKE_CASE							=			pa.schema(
			    {
			        'col_1': pa.string(),
			        'col_2': pa.intaa(),
			        'col_3': pa.floataa(),
			    })
			with open(_UpperCAmelCase				,							'wb') as f:
						SCREAMING_SNAKE_CASE							=			pq.ParquetWriter(_UpperCAmelCase				,							schema=_UpperCAmelCase)
						SCREAMING_SNAKE_CASE							=			pa.Table.from_pydict({k: [DATA[i][k] for i in range(len(_UpperCAmelCase))] for k in DATA[0]}				,							schema=_UpperCAmelCase)
						writer.write_table(_UpperCAmelCase)
						writer.close()
			return path






@pytest.fixture(scope='session')
def 					lowerCamelCase__					(_UpperCAmelCase):
			SCREAMING_SNAKE_CASE							=			str(tmp_path_factory.mktemp('data') / 'dataset.json')
			SCREAMING_SNAKE_CASE							=			{'data': DATA}
			with open(_UpperCAmelCase				,							'w') as f:
						json.dump(_UpperCAmelCase				,							_UpperCAmelCase)
			return path






@pytest.fixture(scope='session')
def 					lowerCamelCase__					(_UpperCAmelCase):
			SCREAMING_SNAKE_CASE							=			str(tmp_path_factory.mktemp('data') / 'dataset.json')
			SCREAMING_SNAKE_CASE							=			{'data': DATA_DICT_OF_LISTS}
			with open(_UpperCAmelCase				,							'w') as f:
						json.dump(_UpperCAmelCase				,							_UpperCAmelCase)
			return path






@pytest.fixture(scope='session')
def 					lowerCamelCase__					(_UpperCAmelCase):
			SCREAMING_SNAKE_CASE							=			str(tmp_path_factory.mktemp('data') / 'dataset.jsonl')
			with open(_UpperCAmelCase				,							'w') as f:
						for item in DATA:
									f.write(json.dumps(_UpperCAmelCase) + '\n')
			return path






@pytest.fixture(scope='session')
def 					lowerCamelCase__					(_UpperCAmelCase):
			SCREAMING_SNAKE_CASE							=			str(tmp_path_factory.mktemp('data') / 'dataset2.jsonl')
			with open(_UpperCAmelCase				,							'w') as f:
						for item in DATA:
									f.write(json.dumps(_UpperCAmelCase) + '\n')
			return path






@pytest.fixture(scope='session')
def 					lowerCamelCase__					(_UpperCAmelCase):
			SCREAMING_SNAKE_CASE							=			str(tmp_path_factory.mktemp('data') / 'dataset_312.jsonl')
			with open(_UpperCAmelCase				,							'w') as f:
						for item in DATA_312:
									f.write(json.dumps(_UpperCAmelCase) + '\n')
			return path






@pytest.fixture(scope='session')
def 					lowerCamelCase__					(_UpperCAmelCase):
			SCREAMING_SNAKE_CASE							=			str(tmp_path_factory.mktemp('data') / 'dataset-str.jsonl')
			with open(_UpperCAmelCase				,							'w') as f:
						for item in DATA_STR:
									f.write(json.dumps(_UpperCAmelCase) + '\n')
			return path






@pytest.fixture(scope='session')
def 					lowerCamelCase__					(_UpperCAmelCase				,							_UpperCAmelCase):
			import gzip

			SCREAMING_SNAKE_CASE							=			str(tmp_path_factory.mktemp('data') / 'dataset.txt.gz')
			with open(_UpperCAmelCase				,							'rb') as orig_file:
						with gzip.open(_UpperCAmelCase				,							'wb') as zipped_file:
									zipped_file.writelines(_UpperCAmelCase)
			return path






@pytest.fixture(scope='session')
def 					lowerCamelCase__					(_UpperCAmelCase				,							_UpperCAmelCase):
			import gzip

			SCREAMING_SNAKE_CASE							=			str(tmp_path_factory.mktemp('data') / 'dataset.jsonl.gz')
			with open(_UpperCAmelCase				,							'rb') as orig_file:
						with gzip.open(_UpperCAmelCase				,							'wb') as zipped_file:
									zipped_file.writelines(_UpperCAmelCase)
			return path






@pytest.fixture(scope='session')
def 					lowerCamelCase__					(_UpperCAmelCase				,							_UpperCAmelCase				,							_UpperCAmelCase):
			SCREAMING_SNAKE_CASE							=			tmp_path_factory.mktemp('data') / 'dataset.jsonl.zip'
			with zipfile.ZipFile(_UpperCAmelCase				,							'w') as f:
						f.write(_UpperCAmelCase				,							arcname=os.path.basename(_UpperCAmelCase))
						f.write(_UpperCAmelCase				,							arcname=os.path.basename(_UpperCAmelCase))
			return path






@pytest.fixture(scope='session')
def 					lowerCamelCase__					(_UpperCAmelCase				,							_UpperCAmelCase				,							_UpperCAmelCase				,							_UpperCAmelCase):
			SCREAMING_SNAKE_CASE							=			tmp_path_factory.mktemp('data') / 'dataset_nested.jsonl.zip'
			with zipfile.ZipFile(_UpperCAmelCase				,							'w') as f:
						f.write(_UpperCAmelCase				,							arcname=os.path.join('nested'				,							os.path.basename(_UpperCAmelCase)))
			return path






@pytest.fixture(scope='session')
def 					lowerCamelCase__					(_UpperCAmelCase				,							_UpperCAmelCase				,							_UpperCAmelCase):
			SCREAMING_SNAKE_CASE							=			tmp_path_factory.mktemp('data') / 'dataset_with_dir.jsonl.zip'
			with zipfile.ZipFile(_UpperCAmelCase				,							'w') as f:
						f.write(_UpperCAmelCase				,							arcname=os.path.join('main_dir'				,							os.path.basename(_UpperCAmelCase)))
						f.write(_UpperCAmelCase				,							arcname=os.path.join('main_dir'				,							os.path.basename(_UpperCAmelCase)))
			return path






@pytest.fixture(scope='session')
def 					lowerCamelCase__					(_UpperCAmelCase				,							_UpperCAmelCase				,							_UpperCAmelCase):
			SCREAMING_SNAKE_CASE							=			tmp_path_factory.mktemp('data') / 'dataset.jsonl.tar'
			with tarfile.TarFile(_UpperCAmelCase				,							'w') as f:
						f.add(_UpperCAmelCase				,							arcname=os.path.basename(_UpperCAmelCase))
						f.add(_UpperCAmelCase				,							arcname=os.path.basename(_UpperCAmelCase))
			return path






@pytest.fixture(scope='session')
def 					lowerCamelCase__					(_UpperCAmelCase				,							_UpperCAmelCase				,							_UpperCAmelCase				,							_UpperCAmelCase):
			SCREAMING_SNAKE_CASE							=			tmp_path_factory.mktemp('data') / 'dataset_nested.jsonl.tar'
			with tarfile.TarFile(_UpperCAmelCase				,							'w') as f:
						f.add(_UpperCAmelCase				,							arcname=os.path.join('nested'				,							os.path.basename(_UpperCAmelCase)))
			return path






@pytest.fixture(scope='session')
def 					lowerCamelCase__					(_UpperCAmelCase):
			SCREAMING_SNAKE_CASE							=			['0', '1', '2', '3']
			SCREAMING_SNAKE_CASE							=			str(tmp_path_factory.mktemp('data') / 'dataset.txt')
			with open(_UpperCAmelCase				,							'w') as f:
						for item in data:
									f.write(item + '\n')
			return path






@pytest.fixture(scope='session')
def 					lowerCamelCase__					(_UpperCAmelCase):
			SCREAMING_SNAKE_CASE							=			['0', '1', '2', '3']
			SCREAMING_SNAKE_CASE							=			str(tmp_path_factory.mktemp('data') / 'dataset2.txt')
			with open(_UpperCAmelCase				,							'w') as f:
						for item in data:
									f.write(item + '\n')
			return path






@pytest.fixture(scope='session')
def 					lowerCamelCase__					(_UpperCAmelCase):
			SCREAMING_SNAKE_CASE							=			['0', '1', '2', '3']
			SCREAMING_SNAKE_CASE							=			tmp_path_factory.mktemp('data') / 'dataset.abc'
			with open(_UpperCAmelCase				,							'w') as f:
						for item in data:
									f.write(item + '\n')
			return path






@pytest.fixture(scope='session')
def 					lowerCamelCase__					(_UpperCAmelCase				,							_UpperCAmelCase				,							_UpperCAmelCase):
			SCREAMING_SNAKE_CASE							=			tmp_path_factory.mktemp('data') / 'dataset.text.zip'
			with zipfile.ZipFile(_UpperCAmelCase				,							'w') as f:
						f.write(_UpperCAmelCase				,							arcname=os.path.basename(_UpperCAmelCase))
						f.write(_UpperCAmelCase				,							arcname=os.path.basename(_UpperCAmelCase))
			return path






@pytest.fixture(scope='session')
def 					lowerCamelCase__					(_UpperCAmelCase				,							_UpperCAmelCase				,							_UpperCAmelCase):
			SCREAMING_SNAKE_CASE							=			tmp_path_factory.mktemp('data') / 'dataset_with_dir.text.zip'
			with zipfile.ZipFile(_UpperCAmelCase				,							'w') as f:
						f.write(_UpperCAmelCase				,							arcname=os.path.join('main_dir'				,							os.path.basename(_UpperCAmelCase)))
						f.write(_UpperCAmelCase				,							arcname=os.path.join('main_dir'				,							os.path.basename(_UpperCAmelCase)))
			return path






@pytest.fixture(scope='session')
def 					lowerCamelCase__					(_UpperCAmelCase				,							_UpperCAmelCase				,							_UpperCAmelCase):
			SCREAMING_SNAKE_CASE							=			tmp_path_factory.mktemp('data') / 'dataset.ext.zip'
			with zipfile.ZipFile(_UpperCAmelCase				,							'w') as f:
						f.write(_UpperCAmelCase				,							arcname=os.path.basename('unsupported.ext'))
						f.write(_UpperCAmelCase				,							arcname=os.path.basename('unsupported_2.ext'))
			return path






@pytest.fixture(scope='session')
def 					lowerCamelCase__					(_UpperCAmelCase):
			SCREAMING_SNAKE_CASE							=			'\n'.join(['First', 'Second\u2029with Unicode new line', 'Third'])
			SCREAMING_SNAKE_CASE							=			str(tmp_path_factory.mktemp('data') / 'dataset_with_unicode_new_lines.txt')
			with open(_UpperCAmelCase				,							'w'				,							encoding='utf-8') as f:
						f.write(_UpperCAmelCase)
			return path






@pytest.fixture(scope='session')
def 					lowerCamelCase__					():
			return os.path.join('tests'				,							'features'				,							'data'				,							'test_image_rgb.jpg')






@pytest.fixture(scope='session')
def 					lowerCamelCase__					():
			return os.path.join('tests'				,							'features'				,							'data'				,							'test_audio_44100.wav')






@pytest.fixture(scope='session')
def 					lowerCamelCase__					(_UpperCAmelCase				,							_UpperCAmelCase):
			SCREAMING_SNAKE_CASE							=			tmp_path_factory.mktemp('data') / 'dataset.img.zip'
			with zipfile.ZipFile(_UpperCAmelCase				,							'w') as f:
						f.write(_UpperCAmelCase				,							arcname=os.path.basename(_UpperCAmelCase))
						f.write(_UpperCAmelCase				,							arcname=os.path.basename(_UpperCAmelCase).replace('.jpg'				,							'2.jpg'))
			return path







@pytest.fixture(scope='session')
def 					lowerCamelCase__					(_UpperCAmelCase):
			SCREAMING_SNAKE_CASE							=			tmp_path_factory.mktemp('data_dir')

			(data_dir / "subdir").mkdir()
			with open(data_dir / 'subdir' / 'train.txt'				,							'w') as f:
						f.write('foo\n' * 10)
			with open(data_dir / 'subdir' / 'test.txt'				,							'w') as f:
						f.write('bar\n' * 10)
			# hidden file
			with open(data_dir / 'subdir' / '.test.txt'				,							'w') as f:
						f.write('bar\n' * 10)

			# hidden directory
			(data_dir / ".subdir").mkdir()
			with open(data_dir / '.subdir' / 'train.txt'				,							'w') as f:
						f.write('foo\n' * 10)
			with open(data_dir / '.subdir' / 'test.txt'				,							'w') as f:
						f.write('bar\n' * 10)

			return data_dir











'''simple docstring'''

import argparse

import intel_extension_for_pytorch as ipex
import torch

from diffusers import DPMSolverMultistepScheduler, StableDiffusionPipeline


lowercase__		:     int			=							argparse.ArgumentParser('Stable Diffusion script with intel optimization', add_help=False)
parser.add_argument('--dpm', action='store_true', help='Enable DPMSolver or not')
parser.add_argument('--steps', default=None, type=int, help='Num inference steps')
lowercase__		:     Union[str, Any]			=							parser.parse_args()


lowercase__		:     Union[str, Any]			=							'cpu'
lowercase__		:     Tuple			=							'a lovely <dicoo> in red dress and hat, in the snowly and brightly night, with many brighly buildings'

lowercase__		:     List[Any]			=							'path-to-your-trained-model'
lowercase__		:     Optional[Any]			=							StableDiffusionPipeline.from_pretrained(model_id)
if args.dpm:
   lowercase__		:     Union[str, Any]			=							DPMSolverMultistepScheduler.from_config(pipe.scheduler.config)
lowercase__		:     Dict			=							pipe.to(device)

# to channels last
lowercase__		:     Any			=							pipe.unet.to(memory_format=torch.channels_last)
lowercase__		:     Dict			=							pipe.vae.to(memory_format=torch.channels_last)
lowercase__		:     Any			=							pipe.text_encoder.to(memory_format=torch.channels_last)
if pipe.requires_safety_checker:
   lowercase__		:     Union[str, Any]			=							pipe.safety_checker.to(memory_format=torch.channels_last)

# optimize with ipex
lowercase__		:     List[str]			=							torch.randn(2, 4, 64, 64)
lowercase__		:     int			=							torch.rand(1) * 9_99
lowercase__		:     Optional[int]			=							torch.randn(2, 77, 7_68)
lowercase__		:     List[str]			=							(sample, timestep, encoder_hidden_status)
try:
   lowercase__		:     Optional[Any]			=							ipex.optimize(pipe.unet.eval(), dtype=torch.bfloataa, inplace=True, sample_input=input_example)
except Exception:
   lowercase__		:     Any			=							ipex.optimize(pipe.unet.eval(), dtype=torch.bfloataa, inplace=True)
lowercase__		:     Tuple			=							ipex.optimize(pipe.vae.eval(), dtype=torch.bfloataa, inplace=True)
lowercase__		:     Any			=							ipex.optimize(pipe.text_encoder.eval(), dtype=torch.bfloataa, inplace=True)
if pipe.requires_safety_checker:
   lowercase__		:     Union[str, Any]			=							ipex.optimize(pipe.safety_checker.eval(), dtype=torch.bfloataa, inplace=True)

# compute
lowercase__		:     Optional[Any]			=							6_66
lowercase__		:     Tuple			=							torch.Generator(device).manual_seed(seed)
lowercase__		:     Dict			=							{'generator': generator}
if args.steps is not None:
   lowercase__		:     int			=							args.steps

with torch.cpu.amp.autocast(enabled=True, dtype=torch.bfloataa):
   lowercase__		:     Dict			=							pipe(prompt, **generate_kwargs).images[0]

# save image
image.save('generated.png')



