

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			(				):







							'''simple docstring'''






							snake_case_           =					10
							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'   ),
							    }   )
							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__   ):







							'''simple docstring'''






							snake_case_           =					str(tmp_path_factory.mktemp('data'   ) / 'file.arrow'   )
							dataset.map(cache_file_name=UpperCamelCase__   )
							return filename


# FILE_CONTENT + files


_UpperCAmelCase	:     List[str]		       = """\
    Text data.
    Second line of data."""





@pytest.fixture(scope='session'   )
def       __lowerCamelCase			(				UpperCamelCase__   ):







							'''simple docstring'''






							snake_case_           =					tmp_path_factory.mktemp('data'   ) / 'file.txt'
							snake_case_           =					FILE_CONTENT
							with open(UpperCamelCase__     ,							'w'   ) as f:
														f.write(UpperCamelCase__   )
							return filename





@pytest.fixture(scope='session'   )
def       __lowerCamelCase			(				UpperCamelCase__   ):







							'''simple docstring'''






							import bza

							snake_case_           =					tmp_path_factory.mktemp('data'   ) / 'file.txt.bz2'
							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__   ):







							'''simple docstring'''






							import gzip

							snake_case_           =					str(tmp_path_factory.mktemp('data'   ) / 'file.txt.gz'   )
							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__   ):







							'''simple docstring'''






							if datasets.config.LZ4_AVAILABLE:
														import lza.frame

														snake_case_           =					tmp_path_factory.mktemp('data'   ) / 'file.txt.lz4'
														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__   ):







							'''simple docstring'''






							if datasets.config.PY7ZR_AVAILABLE:
														import pyazr

														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__   ):







							'''simple docstring'''






							import tarfile

							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__   ):







							'''simple docstring'''






							import lzma

							snake_case_           =					tmp_path_factory.mktemp('data'   ) / 'file.txt.xz'
							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__   ):







							'''simple docstring'''






							import zipfile

							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__   ):







							'''simple docstring'''






							if datasets.config.ZSTANDARD_AVAILABLE:
														import zstandard as zstd

														snake_case_           =					tmp_path_factory.mktemp('data'   ) / 'file.txt.zst'
														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__   ):







							'''simple docstring'''






							snake_case_           =					tmp_path_factory.mktemp('data'   ) / 'file.xml'
							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


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

_UpperCAmelCase	:     List[Any]		       = [
    {"""col_3""": 0.0, """col_1""": """0""", """col_2""": 0},
    {"""col_3""": 1.0, """col_1""": """1""", """col_2""": 1},
]

_UpperCAmelCase	:     Dict		       = [
    {"""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			(				):







							'''simple docstring'''






							return DATA_DICT_OF_LISTS





@pytest.fixture(scope='session'   )
def       __lowerCamelCase			(				UpperCamelCase__   ):







							'''simple docstring'''






							snake_case_           =					datasets.Dataset.from_dict(UpperCamelCase__   )
							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__   ):







							'''simple docstring'''






							snake_case_           =					str(tmp_path_factory.mktemp('data'   ) / 'dataset.sqlite'   )
							with contextlib.closing(sqlitea.connect(UpperCamelCase__   )   ) as con:
														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__   ):







							'''simple docstring'''






							snake_case_           =					str(tmp_path_factory.mktemp('data'   ) / 'dataset.csv'   )
							with open(UpperCamelCase__     ,							'w'     ,							newline=''   ) as f:
														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__   ):







							'''simple docstring'''






							snake_case_           =					str(tmp_path_factory.mktemp('data'   ) / 'dataset2.csv'   )
							with open(UpperCamelCase__     ,							'w'     ,							newline=''   ) as f:
														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__   ):







							'''simple docstring'''






							import bza

							snake_case_           =					tmp_path_factory.mktemp('data'   ) / 'dataset.csv.bz2'
							with open(UpperCamelCase__     ,							'rb'   ) as f:
														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__   ):







							'''simple docstring'''






							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__   ):







							'''simple docstring'''






							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__   ):







							'''simple docstring'''






							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__   ):







							'''simple docstring'''






							snake_case_           =					str(tmp_path_factory.mktemp('data'   ) / 'dataset.parquet'   )
							snake_case_           =					pa.schema(
							    {
							        'col_1': pa.string(),
							        'col_2': pa.intaa(),
							        'col_3': pa.floataa(),
							    }   )
							with open(UpperCamelCase__     ,							'wb'   ) as f:
														snake_case_           =					pq.ParquetWriter(UpperCamelCase__     ,							schema=UpperCamelCase__   )
														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__   ):







							'''simple docstring'''






							snake_case_           =					str(tmp_path_factory.mktemp('data'   ) / 'dataset.json'   )
							snake_case_           =					{'data': DATA}
							with open(UpperCamelCase__     ,							'w'   ) as f:
														json.dump(UpperCamelCase__     ,							UpperCamelCase__   )
							return path





@pytest.fixture(scope='session'   )
def       __lowerCamelCase			(				UpperCamelCase__   ):







							'''simple docstring'''






							snake_case_           =					str(tmp_path_factory.mktemp('data'   ) / 'dataset.json'   )
							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__   ):







							'''simple docstring'''






							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__   ):







							'''simple docstring'''






							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__   ):







							'''simple docstring'''






							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__   ):







							'''simple docstring'''






							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__   ):







							'''simple docstring'''






							import gzip

							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__   ):







							'''simple docstring'''






							import gzip

							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__   ):







							'''simple docstring'''






							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__   ):







							'''simple docstring'''






							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__   ):







							'''simple docstring'''






							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__   ):







							'''simple docstring'''






							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__   ):







							'''simple docstring'''






							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__   ):







							'''simple docstring'''






							snake_case_           =					['0', '1', '2', '3']
							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__   ):







							'''simple docstring'''






							snake_case_           =					['0', '1', '2', '3']
							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__   ):







							'''simple docstring'''






							snake_case_           =					['0', '1', '2', '3']
							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__   ):







							'''simple docstring'''






							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__   ):







							'''simple docstring'''






							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__   ):







							'''simple docstring'''






							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__   ):







							'''simple docstring'''






							snake_case_           =					'\n'.join(['First', 'Second\u2029with Unicode new line', 'Third']   )
							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			(				):







							'''simple docstring'''






							return os.path.join('tests'     ,							'features'     ,							'data'     ,							'test_image_rgb.jpg'   )





@pytest.fixture(scope='session'   )
def       __lowerCamelCase			(				):







							'''simple docstring'''






							return os.path.join('tests'     ,							'features'     ,							'data'     ,							'test_audio_44100.wav'   )





@pytest.fixture(scope='session'   )
def       __lowerCamelCase			(				UpperCamelCase__     ,							UpperCamelCase__   ):







							'''simple docstring'''






							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__   ):







							'''simple docstring'''






							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









import json
import os
import unittest

from transformers import BatchEncoding, MvpTokenizer, MvpTokenizerFast
from transformers.models.roberta.tokenization_roberta import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, require_torch
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin, filter_roberta_detectors







@require_tokenizers
class 				lowercase       ( lowercase_			,						unittest.TestCase    ):
				__SCREAMING_SNAKE_CASE      :				Optional[int]     =    MvpTokenizer
				__SCREAMING_SNAKE_CASE      :				Optional[int]     =    MvpTokenizerFast
				__SCREAMING_SNAKE_CASE      :				Optional[int]     =    True
				__SCREAMING_SNAKE_CASE      :				Tuple     =    filter_roberta_detectors




				def 					a							(      self ):
											super().setUp()
											snake_case_           =					[
											    'l',
											    'o',
											    'w',
											    'e',
											    'r',
											    's',
											    't',
											    'i',
											    'd',
											    'n',
											    '\u0120',
											    '\u0120l',
											    '\u0120n',
											    '\u0120lo',
											    '\u0120low',
											    'er',
											    '\u0120lowest',
											    '\u0120newer',
											    '\u0120wider',
											    '<unk>',
											]
											snake_case_           =					dict(zip(snake_case   ,     range(len(snake_case ) ) ) )
											snake_case_           =					['#version: 0.2', '\u0120 l', '\u0120l o', '\u0120lo w', 'e r', '']
											snake_case_           =					{'unk_token': '<unk>'}

											snake_case_           =					os.path.join(self.tmpdirname   ,     VOCAB_FILES_NAMES['vocab_file'] )
											snake_case_           =					os.path.join(self.tmpdirname   ,     VOCAB_FILES_NAMES['merges_file'] )
											with open(self.vocab_file   ,     'w'   ,     encoding='utf-8' ) as fp:
																		fp.write(json.dumps(snake_case ) + '\n' )
											with open(self.merges_file   ,     'w'   ,     encoding='utf-8' ) as fp:
																		fp.write('\n'.join(snake_case ) )




				def 					a							(      self   ,     **snake_case ):
											kwargs.update(self.special_tokens_map )
											return self.tokenizer_class.from_pretrained(self.tmpdirname   ,     **snake_case )




				def 					a							(      self   ,     **snake_case ):
											kwargs.update(self.special_tokens_map )
											return self.rust_tokenizer_class.from_pretrained(self.tmpdirname   ,     **snake_case )




				def 					a							(      self   ,     snake_case ):
											return "lower newer", "lower newer"




				@cached_property
				def 					a							(      self ):
											return MvpTokenizer.from_pretrained('RUCAIBox/mvp' )




				@cached_property
				def 					a							(      self ):
											return MvpTokenizerFast.from_pretrained('RUCAIBox/mvp' )




				@require_torch
				def 					a							(      self ):
											snake_case_           =					['A long paragraph for summarization.', 'Another paragraph for summarization.']
											snake_case_           =					[0, 250, 251, 1_7818, 13, 3_9186, 1938, 4, 2]

											for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
																		snake_case_           =					tokenizer(snake_case   ,     max_length=len(snake_case )   ,     padding=snake_case   ,     return_tensors='pt' )
																		self.assertIsInstance(snake_case   ,     snake_case )

																		self.assertEqual((2, 9)   ,     batch.input_ids.shape )
																		self.assertEqual((2, 9)   ,     batch.attention_mask.shape )
																		snake_case_           =					batch.input_ids.tolist()[0]
																		self.assertListEqual(snake_case   ,     snake_case )
																		# Test that special tokens are reset




				@require_torch
				def 					a							(      self ):
											snake_case_           =					['A long paragraph for summarization.', 'Another paragraph for summarization.']
											for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
																		snake_case_           =					tokenizer(snake_case   ,     padding=snake_case   ,     return_tensors='pt' )
																		# check if input_ids are returned and no labels
																		self.assertIn('input_ids'   ,     snake_case )
																		self.assertIn('attention_mask'   ,     snake_case )
																		self.assertNotIn('labels'   ,     snake_case )
																		self.assertNotIn('decoder_attention_mask'   ,     snake_case )




				@require_torch
				def 					a							(      self ):
											snake_case_           =					[
											    'Summary of the text.',
											    'Another summary.',
											]
											for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
																		snake_case_           =					tokenizer(text_target=snake_case   ,     max_length=32   ,     padding='max_length'   ,     return_tensors='pt' )
																		self.assertEqual(32   ,     targets['input_ids'].shape[1] )




				@require_torch
				def 					a							(      self ):
											for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
																		snake_case_           =					tokenizer(
																		    ['I am a small frog' * 1024, 'I am a small frog']   ,     padding=snake_case   ,     truncation=snake_case   ,     return_tensors='pt' )
																		self.assertIsInstance(snake_case   ,     snake_case )
																		self.assertEqual(batch.input_ids.shape   ,     (2, 1024) )




				@require_torch
				def 					a							(      self ):
											snake_case_           =					['A long paragraph for summarization.']
											snake_case_           =					[
											    'Summary of the text.',
											]
											for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
																		snake_case_           =					tokenizer(snake_case   ,     text_target=snake_case   ,     return_tensors='pt' )
																		snake_case_           =					inputs['input_ids']
																		snake_case_           =					inputs['labels']
																		self.assertTrue((input_ids[:, 0] == tokenizer.bos_token_id).all().item() )
																		self.assertTrue((labels[:, 0] == tokenizer.bos_token_id).all().item() )
																		self.assertTrue((input_ids[:, -1] == tokenizer.eos_token_id).all().item() )
																		self.assertTrue((labels[:, -1] == tokenizer.eos_token_id).all().item() )




				def 					a							(      self ):
											pass




				def 					a							(      self ):
											for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
																		with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})''' ):
																									snake_case_           =					self.rust_tokenizer_class.from_pretrained(snake_case   ,     **snake_case )
																									snake_case_           =					self.tokenizer_class.from_pretrained(snake_case   ,     **snake_case )
																									snake_case_           =					'A, <mask> AllenNLP sentence.'
																									snake_case_           =					tokenizer_r.encode_plus(snake_case   ,     add_special_tokens=snake_case   ,     return_token_type_ids=snake_case )
																									snake_case_           =					tokenizer_p.encode_plus(snake_case   ,     add_special_tokens=snake_case   ,     return_token_type_ids=snake_case )

																									# token_type_ids should put 0 everywhere
																									self.assertEqual(sum(tokens_r['token_type_ids'] )   ,     sum(tokens_p['token_type_ids'] ) )

																									# attention_mask should put 1 everywhere, so sum over length should be 1
																									self.assertEqual(
																									    sum(tokens_r['attention_mask'] ) / len(tokens_r['attention_mask'] )   ,     sum(tokens_p['attention_mask'] ) / len(tokens_p['attention_mask'] )   ,     )

																									snake_case_           =					tokenizer_r.convert_ids_to_tokens(tokens_r['input_ids'] )
																									snake_case_           =					tokenizer_p.convert_ids_to_tokens(tokens_p['input_ids'] )

																									# Rust correctly handles the space before the mask while python doesnt
																									self.assertSequenceEqual(tokens_p['input_ids']   ,     [0, 250, 6, 5_0264, 3823, 487, 2_1992, 3645, 4, 2] )
																									self.assertSequenceEqual(tokens_r['input_ids']   ,     [0, 250, 6, 5_0264, 3823, 487, 2_1992, 3645, 4, 2] )

																									self.assertSequenceEqual(
																									    snake_case   ,     ['<s>', 'A', ',', '<mask>', 'ĠAllen', 'N', 'LP', 'Ġsentence', '.', '</s>'] )
																									self.assertSequenceEqual(
																									    snake_case   ,     ['<s>', 'A', ',', '<mask>', 'ĠAllen', 'N', 'LP', 'Ġsentence', '.', '</s>'] )




