




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 					UpperCAmelCase_							(      )					-> str:
      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 					UpperCAmelCase_							(      __UpperCAmelCase						:	Tuple			,			__UpperCAmelCase						:	str							)					-> int:
      SCREAMING_SNAKE_CASE_							=			str(tmp_path_factory.mktemp('data'							) / 'file.arrow'							)
      dataset.map(cache_file_name=__UpperCAmelCase							)
      return filename


# FILE_CONTENT + files


lowerCamelCase__ :   List[Any]					=							'\\n    Text data.\n    Second line of data.'

@pytest.fixture(scope='session'							)
def 					UpperCAmelCase_							(      __UpperCAmelCase						:	Any							)					-> List[str]:
      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 					UpperCAmelCase_							(      __UpperCAmelCase						:	Dict							)					-> List[str]:
      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 					UpperCAmelCase_							(      __UpperCAmelCase						:	List[Any]							)					-> Any:
      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 					UpperCAmelCase_							(      __UpperCAmelCase						:	List[str]							)					-> int:
      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 					UpperCAmelCase_							(      __UpperCAmelCase						:	List[Any]			,			__UpperCAmelCase						:	Union[str, Any]							)					-> Any:
      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 					UpperCAmelCase_							(      __UpperCAmelCase						:	Dict			,			__UpperCAmelCase						:	str							)					-> str:
      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 					UpperCAmelCase_							(      __UpperCAmelCase						:	str							)					-> List[Any]:
      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 					UpperCAmelCase_							(      __UpperCAmelCase						:	Dict			,			__UpperCAmelCase						:	Dict							)					-> str:
      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 					UpperCAmelCase_							(      __UpperCAmelCase						:	Dict							)					-> Any:
      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 					UpperCAmelCase_							(      __UpperCAmelCase						:	int							)					-> List[Any]:
      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


lowerCamelCase__ :   Optional[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},
]
lowerCamelCase__ :   Dict					=							[
    {'col_1': '4', 'col_2': 4, 'col_3': 4.0},
    {'col_1': '5', 'col_2': 5, 'col_3': 5.0},
]
lowerCamelCase__ :   Optional[int]					=							{
    'col_1': ['0', '1', '2', '3'],
    'col_2': [0, 1, 2, 3],
    'col_3': [0.0, 1.0, 2.0, 3.0],
}

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

lowerCamelCase__ :   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 					UpperCAmelCase_							(      )					-> Tuple:
      return DATA_DICT_OF_LISTS

@pytest.fixture(scope='session'							)
def 					UpperCAmelCase_							(      __UpperCAmelCase						:	Optional[Any]							)					-> Union[str, Any]:
      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 					UpperCAmelCase_							(      __UpperCAmelCase						:	List[str]							)					-> List[str]:
      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 					UpperCAmelCase_							(      __UpperCAmelCase						:	Optional[int]							)					-> str:
      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 					UpperCAmelCase_							(      __UpperCAmelCase						:	Tuple							)					-> Optional[Any]:
      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 					UpperCAmelCase_							(      __UpperCAmelCase						:	str			,			__UpperCAmelCase						:	Tuple							)					-> str:
      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 					UpperCAmelCase_							(      __UpperCAmelCase						:	Dict			,			__UpperCAmelCase						:	List[str]			,			__UpperCAmelCase						:	str							)					-> Optional[int]:
      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 					UpperCAmelCase_							(      __UpperCAmelCase						:	List[Any]			,			__UpperCAmelCase						:	int			,			__UpperCAmelCase						:	str							)					-> Any:
      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 					UpperCAmelCase_							(      __UpperCAmelCase						:	int			,			__UpperCAmelCase						:	Tuple			,			__UpperCAmelCase						:	List[Any]							)					-> Union[str, Any]:
      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 					UpperCAmelCase_							(      __UpperCAmelCase						:	List[str]							)					-> Optional[Any]:
      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 					UpperCAmelCase_							(      __UpperCAmelCase						:	Tuple							)					-> Any:
      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 					UpperCAmelCase_							(      __UpperCAmelCase						:	Union[str, Any]							)					-> Optional[Any]:
      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 					UpperCAmelCase_							(      __UpperCAmelCase						:	Dict							)					-> List[str]:
      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 					UpperCAmelCase_							(      __UpperCAmelCase						:	Optional[Any]							)					-> Optional[Any]:
      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 					UpperCAmelCase_							(      __UpperCAmelCase						:	List[Any]							)					-> List[Any]:
      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 					UpperCAmelCase_							(      __UpperCAmelCase						:	Optional[Any]							)					-> List[Any]:
      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 					UpperCAmelCase_							(      __UpperCAmelCase						:	Union[str, Any]			,			__UpperCAmelCase						:	List[str]							)					-> Union[str, Any]:
      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 					UpperCAmelCase_							(      __UpperCAmelCase						:	str			,			__UpperCAmelCase						:	Optional[Any]							)					-> List[str]:
      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 					UpperCAmelCase_							(      __UpperCAmelCase						:	Union[str, Any]			,			__UpperCAmelCase						:	Optional[Any]			,			__UpperCAmelCase						:	Dict							)					-> Optional[int]:
      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 					UpperCAmelCase_							(      __UpperCAmelCase						:	Optional[Any]			,			__UpperCAmelCase						:	Any			,			__UpperCAmelCase						:	List[str]			,			__UpperCAmelCase						:	List[str]							)					-> Optional[int]:
      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 					UpperCAmelCase_							(      __UpperCAmelCase						:	List[str]			,			__UpperCAmelCase						:	Optional[Any]			,			__UpperCAmelCase						:	str							)					-> Any:
      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 					UpperCAmelCase_							(      __UpperCAmelCase						:	List[Any]			,			__UpperCAmelCase						:	List[Any]			,			__UpperCAmelCase						:	Tuple							)					-> Dict:
      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 					UpperCAmelCase_							(      __UpperCAmelCase						:	Optional[int]			,			__UpperCAmelCase						:	Optional[int]			,			__UpperCAmelCase						:	Optional[Any]			,			__UpperCAmelCase						:	List[Any]							)					-> List[str]:
      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 					UpperCAmelCase_							(      __UpperCAmelCase						:	Optional[Any]							)					-> Optional[Any]:
      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 					UpperCAmelCase_							(      __UpperCAmelCase						:	Dict							)					-> Any:
      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 					UpperCAmelCase_							(      __UpperCAmelCase						:	List[Any]							)					-> int:
      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 					UpperCAmelCase_							(      __UpperCAmelCase						:	Any			,			__UpperCAmelCase						:	Dict			,			__UpperCAmelCase						:	Dict							)					-> Union[str, Any]:
      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 					UpperCAmelCase_							(      __UpperCAmelCase						:	Tuple			,			__UpperCAmelCase						:	int			,			__UpperCAmelCase						:	Optional[int]							)					-> Any:
      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 					UpperCAmelCase_							(      __UpperCAmelCase						:	Union[str, Any]			,			__UpperCAmelCase						:	Any			,			__UpperCAmelCase						:	Union[str, Any]							)					-> Dict:
      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 					UpperCAmelCase_							(      __UpperCAmelCase						:	Union[str, Any]							)					-> Dict:
      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 					UpperCAmelCase_							(      )					-> List[Any]:
      return os.path.join('tests'			,			'features'			,			'data'			,			'test_image_rgb.jpg'							)

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

@pytest.fixture(scope='session'							)
def 					UpperCAmelCase_							(      __UpperCAmelCase						:	Dict			,			__UpperCAmelCase						:	Dict							)					-> int:
      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 					UpperCAmelCase_							(      __UpperCAmelCase						:	str							)					-> Dict:
      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





from __future__ import annotations

from math import gcd

def 					UpperCAmelCase_							(      __UpperCAmelCase						:	int			,			__UpperCAmelCase						:	int = 2			,			__UpperCAmelCase						:	int = 1			,			__UpperCAmelCase						:	int = 3			,			)					-> int | None:
      # A value less than 2 can cause an infinite loop in the algorithm.
      if num < 2:
            raise ValueError('The input value cannot be less than 2'							)

      # Because of the relationship between ``f(f(x))`` and ``f(x)``, this
      # algorithm struggles to find factors that are divisible by two.
      # As a workaround, we specifically check for two and even inputs.
      #   See: https://math.stackexchange.com/a/2856214/165820
      if num > 2 and num % 2 == 0:
            return 2

      # Pollard's Rho algorithm requires a function that returns pseudorandom
      # values between 0 <= X < ``num``.  It doesn't need to be random in the
      # sense that the output value is cryptographically secure or difficult
      # to calculate, it only needs to be random in the sense that all output
      # values should be equally likely to appear.
      # For this reason, Pollard suggested using ``f(x) = (x**2 - 1) % num``
      # However, the success of Pollard's algorithm isn't guaranteed and is
      # determined in part by the initial seed and the chosen random function.
      # To make retries easier, we will instead use ``f(x) = (x**2 + C) % num``
      # where ``C`` is a value that we can modify between each attempt.
      def rand_fn(__UpperCAmelCase						:	int			,			__UpperCAmelCase						:	int			,			__UpperCAmelCase						:	int							) -> int:
            return (pow(__UpperCAmelCase			,			2							) + step) % modulus

      for _ in range(__UpperCAmelCase							):
            # These track the position within the cycle detection logic.
            SCREAMING_SNAKE_CASE_							=			seed
            SCREAMING_SNAKE_CASE_							=			seed

            while True:
                  # At each iteration, the tortoise moves one step and the hare moves two.
                  SCREAMING_SNAKE_CASE_							=			rand_fn(__UpperCAmelCase			,			__UpperCAmelCase			,			__UpperCAmelCase							)
                  SCREAMING_SNAKE_CASE_							=			rand_fn(__UpperCAmelCase			,			__UpperCAmelCase			,			__UpperCAmelCase							)
                  SCREAMING_SNAKE_CASE_							=			rand_fn(__UpperCAmelCase			,			__UpperCAmelCase			,			__UpperCAmelCase							)

                  # At some point both the tortoise and the hare will enter a cycle whose
                  # length ``p`` is a divisor of ``num``.  Once in that cycle, at some point
                  # the tortoise and hare will end up on the same value modulo ``p``.
                  # We can detect when this happens because the position difference between
                  # the tortoise and the hare will share a common divisor with ``num``.
                  SCREAMING_SNAKE_CASE_							=			gcd(hare - tortoise			,			__UpperCAmelCase							)

                  if divisor == 1:
                        # No common divisor yet, just keep searching.
                        continue
                  else:
                        # We found a common divisor!
                        if divisor == num:
                              # Unfortunately, the divisor is ``num`` itself and is useless.
                              break
                        else:
                              # The divisor is a nontrivial factor of ``num``!
                              return divisor

        # If we made it here, then this attempt failed.
        # We need to pick a new starting seed for the tortoise and hare
        # in addition to a new step value for the random function.
        # To keep this example implementation deterministic, the
        # new values will be generated based on currently available
        # values instead of using something like ``random.randint``.

        # We can use the hare's position as the new seed.
        # This is actually what Richard Brent's the "optimized" variant does.
            SCREAMING_SNAKE_CASE_							=			hare

            # The new step value for the random function can just be incremented.
            # At first the results will be similar to what the old function would
            # have produced, but the value will quickly diverge after a bit.
            step += 1

      # We haven't found a divisor within the requested number of attempts.
      # We were unlucky or ``num`` itself is actually prime.
      return None


if __name__ == "__main__":
   import argparse

   lowerCamelCase__ :   List[str]					=							argparse.ArgumentParser()
   parser.add_argument(
       'num',
       type=int,
       help='The value to find a divisor of',
   )
   parser.add_argument(
       '--attempts',
       type=int,
       default=3,
       help='The number of attempts before giving up',
   )
   lowerCamelCase__ :   Tuple					=							parser.parse_args()

   lowerCamelCase__ :   Any					=							pollard_rho(args.num, attempts=args.attempts)
   if divisor is None:
      print(f'''{args.num} is probably prime''')
   else:
      lowerCamelCase__ :   Tuple					=							args.num // divisor
      print(f'''{args.num} = {divisor} * {quotient}''')