



"""simple docstring"""





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_   : int						=			1_0
						snake_case_   : Any						=			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_   : Tuple						=			datasets.Dataset.from_dict(
						    {
						        """tokens""": [["""foo"""] * 5] * n,
						        """labels""": [[1] * 5] * n,
						        """answers""": [{"""answer_start""": [9_7], """text""": ["""1976"""]}] * 1_0,
						        """id""": list(range(__UpperCamelCase    )    ),
						    }					, features=__UpperCamelCase					, )
						return dataset
@pytest.fixture(scope="""session"""    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			Union[str, Any]					, __UpperCamelCase      :			Dict    ):


						'''simple docstring'''






						snake_case_   : str						=			str(tmp_path_factory.mktemp("""data"""    ) / """file.arrow"""    )
						dataset.map(cache_file_name=__UpperCamelCase    )
						return filename


# FILE_CONTENT + files


__lowerCAmelCase       :					List[Any]      					=					'''\
    Text data.
    Second line of data.'''
@pytest.fixture(scope="""session"""    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			int    ):


						'''simple docstring'''






						snake_case_   : Union[str, Any]						=			tmp_path_factory.mktemp("""data"""    ) / """file.txt"""
						snake_case_   : Optional[Any]						=			FILE_CONTENT
						with open(__UpperCamelCase					, """w"""    ) as f:
												f.write(__UpperCamelCase    )
						return filename
@pytest.fixture(scope="""session"""    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			Optional[Any]    ):


						'''simple docstring'''






						import bza

						snake_case_   : Dict						=			tmp_path_factory.mktemp("""data"""    ) / """file.txt.bz2"""
						snake_case_   : Any						=			bytes(__UpperCamelCase					, """utf-8"""    )
						with bza.open(__UpperCamelCase					, """wb"""    ) as f:
												f.write(__UpperCamelCase    )
						return path
@pytest.fixture(scope="""session"""    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			Optional[int]    ):


						'''simple docstring'''






						import gzip

						snake_case_   : Tuple						=			str(tmp_path_factory.mktemp("""data"""    ) / """file.txt.gz"""    )
						snake_case_   : List[Any]						=			bytes(__UpperCamelCase					, """utf-8"""    )
						with gzip.open(__UpperCamelCase					, """wb"""    ) as f:
												f.write(__UpperCamelCase    )
						return path
@pytest.fixture(scope="""session"""    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			Dict    ):


						'''simple docstring'''






						if datasets.config.LZ4_AVAILABLE:
												import lza.frame

												snake_case_   : Any						=			tmp_path_factory.mktemp("""data"""    ) / """file.txt.lz4"""
												snake_case_   : Optional[Any]						=			bytes(__UpperCamelCase					, """utf-8"""    )
												with lza.frame.open(__UpperCamelCase					, """wb"""    ) as f:
																		f.write(__UpperCamelCase    )
												return path
@pytest.fixture(scope="""session"""    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			List[str]					, __UpperCamelCase      :			Optional[int]    ):


						'''simple docstring'''






						if datasets.config.PY7ZR_AVAILABLE:
												import pyazr

												snake_case_   : Any						=			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      :			Optional[int]					, __UpperCamelCase      :			Tuple    ):


						'''simple docstring'''






						import tarfile

						snake_case_   : Tuple						=			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      :			Any    ):


						'''simple docstring'''






						import lzma

						snake_case_   : str						=			tmp_path_factory.mktemp("""data"""    ) / """file.txt.xz"""
						snake_case_   : str						=			bytes(__UpperCamelCase					, """utf-8"""    )
						with lzma.open(__UpperCamelCase					, """wb"""    ) as f:
												f.write(__UpperCamelCase    )
						return path
@pytest.fixture(scope="""session"""    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			Union[str, Any]					, __UpperCamelCase      :			Dict    ):


						'''simple docstring'''






						import zipfile

						snake_case_   : Optional[int]						=			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      :			Any    ):


						'''simple docstring'''






						if datasets.config.ZSTANDARD_AVAILABLE:
												import zstandard as zstd

												snake_case_   : Any						=			tmp_path_factory.mktemp("""data"""    ) / """file.txt.zst"""
												snake_case_   : Tuple						=			bytes(__UpperCamelCase					, """utf-8"""    )
												with zstd.open(__UpperCamelCase					, """wb"""    ) as f:
																		f.write(__UpperCamelCase    )
												return path
@pytest.fixture(scope="""session"""    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			Optional[int]    ):


						'''simple docstring'''






						snake_case_   : Dict						=			tmp_path_factory.mktemp("""data"""    ) / """file.xml"""
						snake_case_   : List[str]						=			textwrap.dedent(
						    """\
    <?xml version=\"1.0\" encoding=\"UTF-8\" ?>
    <tmx version=\"1.4\">
      <header segtype=\"sentence\" srclang=\"ca\" />
      <body>
        <tu>
          <tuv xml:lang=\"ca\"><seg>Contingut 1</seg></tuv>
          <tuv xml:lang=\"en\"><seg>Content 1</seg></tuv>
        </tu>
        <tu>
          <tuv xml:lang=\"ca\"><seg>Contingut 2</seg></tuv>
          <tuv xml:lang=\"en\"><seg>Content 2</seg></tuv>
        </tu>
        <tu>
          <tuv xml:lang=\"ca\"><seg>Contingut 3</seg></tuv>
          <tuv xml:lang=\"en\"><seg>Content 3</seg></tuv>
        </tu>
        <tu>
          <tuv xml:lang=\"ca\"><seg>Contingut 4</seg></tuv>
          <tuv xml:lang=\"en\"><seg>Content 4</seg></tuv>
        </tu>
        <tu>
          <tuv xml:lang=\"ca\"><seg>Contingut 5</seg></tuv>
          <tuv xml:lang=\"en\"><seg>Content 5</seg></tuv>
        </tu>
      </body>
    </tmx>"""    )
						with open(__UpperCamelCase					, """w"""    ) as f:
												f.write(__UpperCamelCase    )
						return filename


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

__lowerCAmelCase       :					int      					=					[
    {'''col_3''': 0.0, '''col_1''': '''0''', '''col_2''': 0},
    {'''col_3''': 1.0, '''col_1''': '''1''', '''col_2''': 1},
]

__lowerCAmelCase       :					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						(		):


						'''simple docstring'''






						return DATA_DICT_OF_LISTS
@pytest.fixture(scope="""session"""    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			Optional[Any]    ):


						'''simple docstring'''






						snake_case_   : Optional[int]						=			datasets.Dataset.from_dict(__UpperCamelCase    )
						snake_case_   : List[str]						=			str(tmp_path_factory.mktemp("""data"""    ) / """dataset.arrow"""    )
						dataset.map(cache_file_name=__UpperCamelCase    )
						return path
@pytest.fixture(scope="""session"""    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			Union[str, Any]    ):


						'''simple docstring'''






						snake_case_   : str						=			str(tmp_path_factory.mktemp("""data"""    ) / """dataset.sqlite"""    )
						with contextlib.closing(sqlitea.connect(__UpperCamelCase    )    ) as con:
												snake_case_   : Tuple						=			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      :			Tuple    ):


						'''simple docstring'''






						snake_case_   : List[Any]						=			str(tmp_path_factory.mktemp("""data"""    ) / """dataset.csv"""    )
						with open(__UpperCamelCase					, """w"""					, newline=""""""    ) as f:
												snake_case_   : Optional[Any]						=			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      :			Union[str, Any]    ):


						'''simple docstring'''






						snake_case_   : Union[str, Any]						=			str(tmp_path_factory.mktemp("""data"""    ) / """dataset2.csv"""    )
						with open(__UpperCamelCase					, """w"""					, newline=""""""    ) as f:
												snake_case_   : str						=			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      :			Any					, __UpperCamelCase      :			int    ):


						'''simple docstring'''






						import bza

						snake_case_   : Tuple						=			tmp_path_factory.mktemp("""data"""    ) / """dataset.csv.bz2"""
						with open(__UpperCamelCase					, """rb"""    ) as f:
												snake_case_   : int						=			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      :			Dict					, __UpperCamelCase      :			int					, __UpperCamelCase      :			str    ):


						'''simple docstring'''






						snake_case_   : int						=			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      :			str					, __UpperCamelCase      :			List[str]					, __UpperCamelCase      :			Optional[Any]    ):


						'''simple docstring'''






						snake_case_   : Any						=			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      :			List[str]					, __UpperCamelCase      :			Optional[Any]					, __UpperCamelCase      :			Optional[int]    ):


						'''simple docstring'''






						snake_case_   : int						=			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      :			int    ):


						'''simple docstring'''






						snake_case_   : Any						=			str(tmp_path_factory.mktemp("""data"""    ) / """dataset.parquet"""    )
						snake_case_   : Any						=			pa.schema(
						    {
						        """col_1""": pa.string(),
						        """col_2""": pa.intaa(),
						        """col_3""": pa.floataa(),
						    }    )
						with open(__UpperCamelCase					, """wb"""    ) as f:
												snake_case_   : Optional[int]						=			pq.ParquetWriter(__UpperCamelCase					, schema=__UpperCamelCase    )
												snake_case_   : Optional[int]						=			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      :			Dict    ):


						'''simple docstring'''






						snake_case_   : Optional[Any]						=			str(tmp_path_factory.mktemp("""data"""    ) / """dataset.json"""    )
						snake_case_   : Any						=			{"""data""": DATA}
						with open(__UpperCamelCase					, """w"""    ) as f:
												json.dump(__UpperCamelCase					, __UpperCamelCase    )
						return path
@pytest.fixture(scope="""session"""    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			Union[str, Any]    ):


						'''simple docstring'''






						snake_case_   : Tuple						=			str(tmp_path_factory.mktemp("""data"""    ) / """dataset.json"""    )
						snake_case_   : List[Any]						=			{"""data""": DATA_DICT_OF_LISTS}
						with open(__UpperCamelCase					, """w"""    ) as f:
												json.dump(__UpperCamelCase					, __UpperCamelCase    )
						return path
@pytest.fixture(scope="""session"""    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			Optional[Any]    ):


						'''simple docstring'''






						snake_case_   : Optional[Any]						=			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      :			Optional[Any]    ):


						'''simple docstring'''






						snake_case_   : int						=			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      :			Any    ):


						'''simple docstring'''






						snake_case_   : str						=			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      :			List[Any]    ):


						'''simple docstring'''






						snake_case_   : Optional[Any]						=			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      :			Any					, __UpperCamelCase      :			Union[str, Any]    ):


						'''simple docstring'''






						import gzip

						snake_case_   : List[str]						=			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      :			str					, __UpperCamelCase      :			List[str]    ):


						'''simple docstring'''






						import gzip

						snake_case_   : Dict						=			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      :			Dict					, __UpperCamelCase      :			Dict					, __UpperCamelCase      :			Union[str, Any]    ):


						'''simple docstring'''






						snake_case_   : List[str]						=			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      :			Tuple					, __UpperCamelCase      :			Tuple					, __UpperCamelCase      :			Optional[Any]					, __UpperCamelCase      :			str    ):


						'''simple docstring'''






						snake_case_   : int						=			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      :			Optional[int]					, __UpperCamelCase      :			List[Any]					, __UpperCamelCase      :			Dict    ):


						'''simple docstring'''






						snake_case_   : Union[str, Any]						=			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      :			List[str]					, __UpperCamelCase      :			Tuple					, __UpperCamelCase      :			Tuple    ):


						'''simple docstring'''






						snake_case_   : Tuple						=			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      :			Union[str, Any]					, __UpperCamelCase      :			Any					, __UpperCamelCase      :			List[Any]					, __UpperCamelCase      :			int    ):


						'''simple docstring'''






						snake_case_   : Union[str, Any]						=			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      :			str    ):


						'''simple docstring'''






						snake_case_   : str						=			["""0""", """1""", """2""", """3"""]
						snake_case_   : Dict						=			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      :			Dict    ):


						'''simple docstring'''






						snake_case_   : int						=			["""0""", """1""", """2""", """3"""]
						snake_case_   : int						=			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      :			List[str]    ):


						'''simple docstring'''






						snake_case_   : List[Any]						=			["""0""", """1""", """2""", """3"""]
						snake_case_   : str						=			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      :			Dict					, __UpperCamelCase      :			List[Any]					, __UpperCamelCase      :			Dict    ):


						'''simple docstring'''






						snake_case_   : Union[str, Any]						=			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      :			Union[str, Any]					, __UpperCamelCase      :			Any					, __UpperCamelCase      :			Optional[Any]    ):


						'''simple docstring'''






						snake_case_   : Dict						=			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      :			List[Any]					, __UpperCamelCase      :			Optional[Any]					, __UpperCamelCase      :			Optional[int]    ):


						'''simple docstring'''






						snake_case_   : Optional[Any]						=			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      :			str    ):


						'''simple docstring'''






						snake_case_   : List[Any]						=			"""\n""".join(["""First""", """Second\u2029with Unicode new line""", """Third"""]    )
						snake_case_   : List[str]						=			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      :			Dict					, __UpperCamelCase      :			List[Any]    ):


						'''simple docstring'''






						snake_case_   : Any						=			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      :			Any    ):


						'''simple docstring'''






						snake_case_   : str						=			tmp_path_factory.mktemp("""data_dir"""    )

						(data_dir / "subdir").mkdir()
						with open(data_dir / """subdir""" / """train.txt"""					, """w"""    ) as f:
												f.write("""foo\n""" * 1_0    )
						with open(data_dir / """subdir""" / """test.txt"""					, """w"""    ) as f:
												f.write("""bar\n""" * 1_0    )
						# hidden file
						with open(data_dir / """subdir""" / """.test.txt"""					, """w"""    ) as f:
												f.write("""bar\n""" * 1_0    )

						# hidden directory
						(data_dir / ".subdir").mkdir()
						with open(data_dir / """.subdir""" / """train.txt"""					, """w"""    ) as f:
												f.write("""foo\n""" * 1_0    )
						with open(data_dir / """.subdir""" / """test.txt"""					, """w"""    ) as f:
												f.write("""bar\n""" * 1_0    )

						return data_dir






"""simple docstring"""





import unittest

import numpy as np

from transformers import RoFormerConfig, is_flax_available
from transformers.testing_utils import require_flax, slow

from ...test_modeling_flax_common import FlaxModelTesterMixin, ids_tensor, random_attention_mask


if is_flax_available():
					import jax.numpy as jnp

					from transformers.models.roformer.modeling_flax_roformer import (
					    FlaxRoFormerForMaskedLM,
					    FlaxRoFormerForMultipleChoice,
					    FlaxRoFormerForQuestionAnswering,
					    FlaxRoFormerForSequenceClassification,
					    FlaxRoFormerForTokenClassification,
					    FlaxRoFormerModel,
					)



class    _lowerCAmelCase    (				unittest.TestCase		):





		"""simple docstring"""






		def __init__(					self							,    _lowercase							,    _lowercase=1_3							,    _lowercase=7							,    _lowercase=True							,    _lowercase=True							,    _lowercase=True							,    _lowercase=True							,    _lowercase=9_9							,    _lowercase=3_2							,    _lowercase=5							,    _lowercase=4							,    _lowercase=3_7							,    _lowercase="gelu"							,    _lowercase=0.1							,    _lowercase=0.1							,    _lowercase=5_1_2							,    _lowercase=1_6							,    _lowercase=2							,    _lowercase=0.02							,    _lowercase=4							,    ) ->						List[str]:







								'''simple docstring'''

								snake_case_   : Tuple						=			parent
								snake_case_   : List[str]						=			batch_size
								snake_case_   : int						=			seq_length
								snake_case_   : List[Any]						=			is_training
								snake_case_   : Optional[int]						=			use_attention_mask
								snake_case_   : Optional[Any]						=			use_token_type_ids
								snake_case_   : Union[str, Any]						=			use_labels
								snake_case_   : str						=			vocab_size
								snake_case_   : List[str]						=			hidden_size
								snake_case_   : List[str]						=			num_hidden_layers
								snake_case_   : int						=			num_attention_heads
								snake_case_   : Dict						=			intermediate_size
								snake_case_   : Union[str, Any]						=			hidden_act
								snake_case_   : List[str]						=			hidden_dropout_prob
								snake_case_   : Any						=			attention_probs_dropout_prob
								snake_case_   : List[str]						=			max_position_embeddings
								snake_case_   : Union[str, Any]						=			type_vocab_size
								snake_case_   : str						=			type_sequence_label_size
								snake_case_   : Dict						=			initializer_range
								snake_case_   : str						=			num_choices





		def    UpperCAmelCase__							(					self   ) ->						List[Any]:







								'''simple docstring'''

								snake_case_   : List[Any]						=			ids_tensor([self.batch_size, self.seq_length]							,    self.vocab_size   )

								snake_case_   : Tuple						=			None
								if self.use_attention_mask:
														snake_case_   : Union[str, Any]						=			random_attention_mask([self.batch_size, self.seq_length]   )

								snake_case_   : Optional[int]						=			None
								if self.use_token_type_ids:
														snake_case_   : str						=			ids_tensor([self.batch_size, self.seq_length]							,    self.type_vocab_size   )

								snake_case_   : Union[str, Any]						=			RoFormerConfig(
								    vocab_size=self.vocab_size							,    hidden_size=self.hidden_size							,    num_hidden_layers=self.num_hidden_layers							,    num_attention_heads=self.num_attention_heads							,    intermediate_size=self.intermediate_size							,    hidden_act=self.hidden_act							,    hidden_dropout_prob=self.hidden_dropout_prob							,    attention_probs_dropout_prob=self.attention_probs_dropout_prob							,    max_position_embeddings=self.max_position_embeddings							,    type_vocab_size=self.type_vocab_size							,    is_decoder=_lowercase							,    initializer_range=self.initializer_range							,    )

								return config, input_ids, token_type_ids, attention_mask





		def    UpperCAmelCase__							(					self   ) ->						List[str]:







								'''simple docstring'''

								snake_case_   : str						=			self.prepare_config_and_inputs()
								snake_case_			,		snake_case_			,		snake_case_			,		snake_case_   : List[Any]						=			config_and_inputs
								snake_case_   : Tuple						=			{"""input_ids""": input_ids, """token_type_ids""": token_type_ids, """attention_mask""": attention_mask}
								return config, inputs_dict




@require_flax
class    _lowerCAmelCase    (				SCREAMING_SNAKE_CASE__  ,				unittest.TestCase		):





		"""simple docstring"""






		_lowerCamelCase			  =       True

		_lowerCamelCase			  =       (
		    (
		        FlaxRoFormerModel,
		        FlaxRoFormerForMaskedLM,
		        FlaxRoFormerForSequenceClassification,
		        FlaxRoFormerForTokenClassification,
		        FlaxRoFormerForMultipleChoice,
		        FlaxRoFormerForQuestionAnswering,
		    )
		    if is_flax_available()
		    else ()
		)





		def    UpperCAmelCase__							(					self   ) ->						Union[str, Any]:







								'''simple docstring'''

								snake_case_   : Dict						=			FlaxRoFormerModelTester(self   )





		@slow
		def    UpperCAmelCase__							(					self   ) ->						Union[str, Any]:







								'''simple docstring'''

								for model_class_name in self.all_model_classes:
														snake_case_   : Tuple						=			model_class_name.from_pretrained("""junnyu/roformer_chinese_small"""							,    from_pt=_lowercase   )
														snake_case_   : List[str]						=			model(np.ones((1, 1)   )   )
														self.assertIsNotNone(_lowercase   )




@require_flax
class    _lowerCAmelCase    (				unittest.TestCase		):





		"""simple docstring"""






		@slow
		def    UpperCAmelCase__							(					self   ) ->						Tuple:







								'''simple docstring'''

								snake_case_   : Dict						=			FlaxRoFormerForMaskedLM.from_pretrained("""junnyu/roformer_chinese_base"""   )
								snake_case_   : Tuple						=			jnp.array([[0, 1, 2, 3, 4, 5]]   )
								snake_case_   : Dict						=			model(_lowercase   )[0]

								snake_case_   : Optional[int]						=			5_0_0_0_0

								snake_case_   : Union[str, Any]						=			(1, 6, vocab_size)
								self.assertEqual(output.shape							,    _lowercase   )

								snake_case_   : Dict						=			jnp.array(
								    [[[-0.1205, -1.0265, 0.2922], [-1.5134, 0.1974, 0.1519], [-5.0135, -3.9003, -0.8404]]]   )

								self.assertTrue(jnp.allclose(output[:, :3, :3]							,    _lowercase							,    atol=1E-4   )   )

