




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 	_a      (						):
					__lowerCAmelCase				   =       10
					__lowerCAmelCase				   =       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"     ),
					    }     )
					__lowerCAmelCase				   =       datasets.Dataset.from_dict(
					    {
					        "tokens": [["foo"] * 5] * n,
					        "labels": [[1] * 5] * n,
					        "answers": [{"answer_start": [97], "text": ["1976"]}] * 10,
					        "id": list(range(SCREAMING_SNAKE_CASE_     )     ),
					    }      ,      features=SCREAMING_SNAKE_CASE_      ,      )
					return dataset







@pytest.fixture(scope="session"     )
def 	_a      (						SCREAMING_SNAKE_CASE_							:				int      ,      SCREAMING_SNAKE_CASE_							:				List[str]     ):
					__lowerCAmelCase				   =       str(tmp_path_factory.mktemp("data"     ) / "file.arrow"     )
					dataset.map(cache_file_name=SCREAMING_SNAKE_CASE_     )
					return filename


# FILE_CONTENT + files


UpperCamelCase__    			=			"""\
    Text data.
    Second line of data."""







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







@pytest.fixture(scope="session"     )
def 	_a      (						SCREAMING_SNAKE_CASE_							:				List[str]     ):
					import bza

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







@pytest.fixture(scope="session"     )
def 	_a      (						SCREAMING_SNAKE_CASE_							:				Union[str, Any]     ):
					import gzip

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







@pytest.fixture(scope="session"     )
def 	_a      (						SCREAMING_SNAKE_CASE_							:				List[str]     ):
					if datasets.config.LZ4_AVAILABLE:
										import lza.frame

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







@pytest.fixture(scope="session"     )
def 	_a      (						SCREAMING_SNAKE_CASE_							:				int      ,      SCREAMING_SNAKE_CASE_							:				Dict     ):
					if datasets.config.PY7ZR_AVAILABLE:
										import pyazr

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







@pytest.fixture(scope="session"     )
def 	_a      (						SCREAMING_SNAKE_CASE_							:				List[Any]      ,      SCREAMING_SNAKE_CASE_							:				List[Any]     ):
					import tarfile

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







@pytest.fixture(scope="session"     )
def 	_a      (						SCREAMING_SNAKE_CASE_							:				Tuple     ):
					import lzma

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







@pytest.fixture(scope="session"     )
def 	_a      (						SCREAMING_SNAKE_CASE_							:				Any      ,      SCREAMING_SNAKE_CASE_							:				List[Any]     ):
					import zipfile

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







@pytest.fixture(scope="session"     )
def 	_a      (						SCREAMING_SNAKE_CASE_							:				List[Any]     ):
					if datasets.config.ZSTANDARD_AVAILABLE:
										import zstandard as zstd

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







@pytest.fixture(scope="session"     )
def 	_a      (						SCREAMING_SNAKE_CASE_							:				Tuple     ):
					__lowerCAmelCase				   =       tmp_path_factory.mktemp("data"     ) / "file.xml"
					__lowerCAmelCase				   =       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(SCREAMING_SNAKE_CASE_      ,      "w"     ) as f:
										f.write(SCREAMING_SNAKE_CASE_     )
					return filename


UpperCamelCase__    			=			[
    {"""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__    			=			[
    {"""col_1""": """4""", """col_2""": 4, """col_3""": 4.0},
    {"""col_1""": """5""", """col_2""": 5, """col_3""": 5.0},
]
UpperCamelCase__    			=			{
    """col_1""": ["""0""", """1""", """2""", """3"""],
    """col_2""": [0, 1, 2, 3],
    """col_3""": [0.0, 1.0, 2.0, 3.0],
}

UpperCamelCase__    			=			[
    {"""col_3""": 0.0, """col_1""": """0""", """col_2""": 0},
    {"""col_3""": 1.0, """col_1""": """1""", """col_2""": 1},
]

UpperCamelCase__    			=			[
    {"""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 	_a      (						):
					return DATA_DICT_OF_LISTS







@pytest.fixture(scope="session"     )
def 	_a      (						SCREAMING_SNAKE_CASE_							:				Dict     ):
					__lowerCAmelCase				   =       datasets.Dataset.from_dict(SCREAMING_SNAKE_CASE_     )
					__lowerCAmelCase				   =       str(tmp_path_factory.mktemp("data"     ) / "dataset.arrow"     )
					dataset.map(cache_file_name=SCREAMING_SNAKE_CASE_     )
					return path







@pytest.fixture(scope="session"     )
def 	_a      (						SCREAMING_SNAKE_CASE_							:				Any     ):
					__lowerCAmelCase				   =       str(tmp_path_factory.mktemp("data"     ) / "dataset.sqlite"     )
					with contextlib.closing(sqlitea.connect(SCREAMING_SNAKE_CASE_     )     ) as con:
										__lowerCAmelCase				   =       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 	_a      (						SCREAMING_SNAKE_CASE_							:				Union[str, Any]     ):
					__lowerCAmelCase				   =       str(tmp_path_factory.mktemp("data"     ) / "dataset.csv"     )
					with open(SCREAMING_SNAKE_CASE_      ,      "w"      ,      newline=""     ) as f:
										__lowerCAmelCase				   =       csv.DictWriter(SCREAMING_SNAKE_CASE_      ,      fieldnames=["col_1", "col_2", "col_3"]     )
										writer.writeheader()
										for item in DATA:
															writer.writerow(SCREAMING_SNAKE_CASE_     )
					return path







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







@pytest.fixture(scope="session"     )
def 	_a      (						SCREAMING_SNAKE_CASE_							:				Optional[int]      ,      SCREAMING_SNAKE_CASE_							:				str     ):
					import bza

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







@pytest.fixture(scope="session"     )
def 	_a      (						SCREAMING_SNAKE_CASE_							:				Dict      ,      SCREAMING_SNAKE_CASE_							:				List[str]      ,      SCREAMING_SNAKE_CASE_							:				Optional[Any]     ):
					__lowerCAmelCase				   =       tmp_path_factory.mktemp("data"     ) / "dataset.csv.zip"
					with zipfile.ZipFile(SCREAMING_SNAKE_CASE_      ,      "w"     ) as f:
										f.write(SCREAMING_SNAKE_CASE_      ,      arcname=os.path.basename(SCREAMING_SNAKE_CASE_     )     )
										f.write(SCREAMING_SNAKE_CASE_      ,      arcname=os.path.basename(SCREAMING_SNAKE_CASE_     )     )
					return path







@pytest.fixture(scope="session"     )
def 	_a      (						SCREAMING_SNAKE_CASE_							:				Optional[int]      ,      SCREAMING_SNAKE_CASE_							:				Any      ,      SCREAMING_SNAKE_CASE_							:				Union[str, Any]     ):
					__lowerCAmelCase				   =       tmp_path_factory.mktemp("data"     ) / "dataset.csv.zip"
					with zipfile.ZipFile(SCREAMING_SNAKE_CASE_      ,      "w"     ) as f:
										f.write(SCREAMING_SNAKE_CASE_      ,      arcname=os.path.basename(csv_path.replace(".csv"      ,      ".CSV"     )     )     )
										f.write(SCREAMING_SNAKE_CASE_      ,      arcname=os.path.basename(csva_path.replace(".csv"      ,      ".CSV"     )     )     )
					return path







@pytest.fixture(scope="session"     )
def 	_a      (						SCREAMING_SNAKE_CASE_							:				List[str]      ,      SCREAMING_SNAKE_CASE_							:				Any      ,      SCREAMING_SNAKE_CASE_							:				Tuple     ):
					__lowerCAmelCase				   =       tmp_path_factory.mktemp("data"     ) / "dataset_with_dir.csv.zip"
					with zipfile.ZipFile(SCREAMING_SNAKE_CASE_      ,      "w"     ) as f:
										f.write(SCREAMING_SNAKE_CASE_      ,      arcname=os.path.join("main_dir"      ,      os.path.basename(SCREAMING_SNAKE_CASE_     )     )     )
										f.write(SCREAMING_SNAKE_CASE_      ,      arcname=os.path.join("main_dir"      ,      os.path.basename(SCREAMING_SNAKE_CASE_     )     )     )
					return path







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







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







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







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







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







@pytest.fixture(scope="session"     )
def 	_a      (						SCREAMING_SNAKE_CASE_							:				Union[str, Any]     ):
					__lowerCAmelCase				   =       str(tmp_path_factory.mktemp("data"     ) / "dataset_312.jsonl"     )
					with open(SCREAMING_SNAKE_CASE_      ,      "w"     ) as f:
										for item in DATA_312:
															f.write(json.dumps(SCREAMING_SNAKE_CASE_     ) + "\n"     )
					return path







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







@pytest.fixture(scope="session"     )
def 	_a      (						SCREAMING_SNAKE_CASE_							:				Union[str, Any]      ,      SCREAMING_SNAKE_CASE_							:				List[str]     ):
					import gzip

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







@pytest.fixture(scope="session"     )
def 	_a      (						SCREAMING_SNAKE_CASE_							:				int      ,      SCREAMING_SNAKE_CASE_							:				Optional[int]     ):
					import gzip

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







@pytest.fixture(scope="session"     )
def 	_a      (						SCREAMING_SNAKE_CASE_							:				int      ,      SCREAMING_SNAKE_CASE_							:				List[str]      ,      SCREAMING_SNAKE_CASE_							:				Any     ):
					__lowerCAmelCase				   =       tmp_path_factory.mktemp("data"     ) / "dataset.jsonl.zip"
					with zipfile.ZipFile(SCREAMING_SNAKE_CASE_      ,      "w"     ) as f:
										f.write(SCREAMING_SNAKE_CASE_      ,      arcname=os.path.basename(SCREAMING_SNAKE_CASE_     )     )
										f.write(SCREAMING_SNAKE_CASE_      ,      arcname=os.path.basename(SCREAMING_SNAKE_CASE_     )     )
					return path







@pytest.fixture(scope="session"     )
def 	_a      (						SCREAMING_SNAKE_CASE_							:				Union[str, Any]      ,      SCREAMING_SNAKE_CASE_							:				int      ,      SCREAMING_SNAKE_CASE_							:				Dict      ,      SCREAMING_SNAKE_CASE_							:				List[str]     ):
					__lowerCAmelCase				   =       tmp_path_factory.mktemp("data"     ) / "dataset_nested.jsonl.zip"
					with zipfile.ZipFile(SCREAMING_SNAKE_CASE_      ,      "w"     ) as f:
										f.write(SCREAMING_SNAKE_CASE_      ,      arcname=os.path.join("nested"      ,      os.path.basename(SCREAMING_SNAKE_CASE_     )     )     )
					return path







@pytest.fixture(scope="session"     )
def 	_a      (						SCREAMING_SNAKE_CASE_							:				Union[str, Any]      ,      SCREAMING_SNAKE_CASE_							:				Any      ,      SCREAMING_SNAKE_CASE_							:				List[str]     ):
					__lowerCAmelCase				   =       tmp_path_factory.mktemp("data"     ) / "dataset_with_dir.jsonl.zip"
					with zipfile.ZipFile(SCREAMING_SNAKE_CASE_      ,      "w"     ) as f:
										f.write(SCREAMING_SNAKE_CASE_      ,      arcname=os.path.join("main_dir"      ,      os.path.basename(SCREAMING_SNAKE_CASE_     )     )     )
										f.write(SCREAMING_SNAKE_CASE_      ,      arcname=os.path.join("main_dir"      ,      os.path.basename(SCREAMING_SNAKE_CASE_     )     )     )
					return path







@pytest.fixture(scope="session"     )
def 	_a      (						SCREAMING_SNAKE_CASE_							:				Optional[Any]      ,      SCREAMING_SNAKE_CASE_							:				List[Any]      ,      SCREAMING_SNAKE_CASE_							:				Union[str, Any]     ):
					__lowerCAmelCase				   =       tmp_path_factory.mktemp("data"     ) / "dataset.jsonl.tar"
					with tarfile.TarFile(SCREAMING_SNAKE_CASE_      ,      "w"     ) as f:
										f.add(SCREAMING_SNAKE_CASE_      ,      arcname=os.path.basename(SCREAMING_SNAKE_CASE_     )     )
										f.add(SCREAMING_SNAKE_CASE_      ,      arcname=os.path.basename(SCREAMING_SNAKE_CASE_     )     )
					return path







@pytest.fixture(scope="session"     )
def 	_a      (						SCREAMING_SNAKE_CASE_							:				Any      ,      SCREAMING_SNAKE_CASE_							:				str      ,      SCREAMING_SNAKE_CASE_							:				int      ,      SCREAMING_SNAKE_CASE_							:				Dict     ):
					__lowerCAmelCase				   =       tmp_path_factory.mktemp("data"     ) / "dataset_nested.jsonl.tar"
					with tarfile.TarFile(SCREAMING_SNAKE_CASE_      ,      "w"     ) as f:
										f.add(SCREAMING_SNAKE_CASE_      ,      arcname=os.path.join("nested"      ,      os.path.basename(SCREAMING_SNAKE_CASE_     )     )     )
					return path







@pytest.fixture(scope="session"     )
def 	_a      (						SCREAMING_SNAKE_CASE_							:				Optional[Any]     ):
					__lowerCAmelCase				   =       ["0", "1", "2", "3"]
					__lowerCAmelCase				   =       str(tmp_path_factory.mktemp("data"     ) / "dataset.txt"     )
					with open(SCREAMING_SNAKE_CASE_      ,      "w"     ) as f:
										for item in data:
															f.write(item + "\n"     )
					return path







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







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







@pytest.fixture(scope="session"     )
def 	_a      (						SCREAMING_SNAKE_CASE_							:				List[str]      ,      SCREAMING_SNAKE_CASE_							:				List[str]      ,      SCREAMING_SNAKE_CASE_							:				Union[str, Any]     ):
					__lowerCAmelCase				   =       tmp_path_factory.mktemp("data"     ) / "dataset.text.zip"
					with zipfile.ZipFile(SCREAMING_SNAKE_CASE_      ,      "w"     ) as f:
										f.write(SCREAMING_SNAKE_CASE_      ,      arcname=os.path.basename(SCREAMING_SNAKE_CASE_     )     )
										f.write(SCREAMING_SNAKE_CASE_      ,      arcname=os.path.basename(SCREAMING_SNAKE_CASE_     )     )
					return path







@pytest.fixture(scope="session"     )
def 	_a      (						SCREAMING_SNAKE_CASE_							:				int      ,      SCREAMING_SNAKE_CASE_							:				Optional[Any]      ,      SCREAMING_SNAKE_CASE_							:				Tuple     ):
					__lowerCAmelCase				   =       tmp_path_factory.mktemp("data"     ) / "dataset_with_dir.text.zip"
					with zipfile.ZipFile(SCREAMING_SNAKE_CASE_      ,      "w"     ) as f:
										f.write(SCREAMING_SNAKE_CASE_      ,      arcname=os.path.join("main_dir"      ,      os.path.basename(SCREAMING_SNAKE_CASE_     )     )     )
										f.write(SCREAMING_SNAKE_CASE_      ,      arcname=os.path.join("main_dir"      ,      os.path.basename(SCREAMING_SNAKE_CASE_     )     )     )
					return path







@pytest.fixture(scope="session"     )
def 	_a      (						SCREAMING_SNAKE_CASE_							:				Union[str, Any]      ,      SCREAMING_SNAKE_CASE_							:				str      ,      SCREAMING_SNAKE_CASE_							:				Union[str, Any]     ):
					__lowerCAmelCase				   =       tmp_path_factory.mktemp("data"     ) / "dataset.ext.zip"
					with zipfile.ZipFile(SCREAMING_SNAKE_CASE_      ,      "w"     ) as f:
										f.write(SCREAMING_SNAKE_CASE_      ,      arcname=os.path.basename("unsupported.ext"     )     )
										f.write(SCREAMING_SNAKE_CASE_      ,      arcname=os.path.basename("unsupported_2.ext"     )     )
					return path







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







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







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







@pytest.fixture(scope="session"     )
def 	_a      (						SCREAMING_SNAKE_CASE_							:				Tuple      ,      SCREAMING_SNAKE_CASE_							:				Optional[int]     ):
					__lowerCAmelCase				   =       tmp_path_factory.mktemp("data"     ) / "dataset.img.zip"
					with zipfile.ZipFile(SCREAMING_SNAKE_CASE_      ,      "w"     ) as f:
										f.write(SCREAMING_SNAKE_CASE_      ,      arcname=os.path.basename(SCREAMING_SNAKE_CASE_     )     )
										f.write(SCREAMING_SNAKE_CASE_      ,      arcname=os.path.basename(SCREAMING_SNAKE_CASE_     ).replace(".jpg"      ,      "2.jpg"     )     )
					return path







@pytest.fixture(scope="session"     )
def 	_a      (						SCREAMING_SNAKE_CASE_							:				str     ):
					__lowerCAmelCase				   =       tmp_path_factory.mktemp("data_dir"     )

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

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

					return data_dir







'''simple docstring'''






import os
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


lowerCAmelCase__											=	logging.get_logger(__name__)

lowerCAmelCase__											=	{'''vocab_file''': '''spiece.model'''}

lowerCAmelCase__											=	{
    '''vocab_file''': {
        '''bert_for_seq_generation''': (
            '''https://huggingface.co/google/bert_for_seq_generation_L-24_bbc_encoder/resolve/main/spiece.model'''
        ),
    }
}

lowerCAmelCase__											=	{'''bert_for_seq_generation''': 512}






class 			lowercase_	(lowerCamelCase__      ):




  """simple docstring"""




  SCREAMING_SNAKE_CASE    :  List[Any]							=			VOCAB_FILES_NAMES
  SCREAMING_SNAKE_CASE    :  Dict							=			PRETRAINED_VOCAB_FILES_MAP
  SCREAMING_SNAKE_CASE    :  Optional[int]							=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  SCREAMING_SNAKE_CASE    :  List[int]							=			[]
  SCREAMING_SNAKE_CASE    :  Any							=			['input_ids', 'attention_mask']






  def __init__(      self   :     Optional[Any]					,lowercase__   :     Tuple					,lowercase__   :     Tuple="<s>"					,lowercase__   :     Union[str, Any]="</s>"					,lowercase__   :     str="<unk>"					,lowercase__   :     Tuple="<pad>"					,lowercase__   :     Union[str, Any]="<::::>"					,lowercase__   :     Optional[Dict[str, Any]] = None					,**lowercase__   :     Any					,):
   __lowercase							  = {} if sp_model_kwargs is None else sp_model_kwargs

   # Add extra_ids to the special token list
   super().__init__(
       bos_token=lowercase__					,eos_token=lowercase__					,unk_token=lowercase__					,pad_token=lowercase__					,sep_token=lowercase__					,sp_model_kwargs=self.sp_model_kwargs					,**lowercase__					,)

   __lowercase							  = vocab_file

   __lowercase							  = spm.SentencePieceProcessor(**self.sp_model_kwargs			)
   self.sp_model.Load(lowercase__			)






  @property
  def 					SCREAMING_SNAKE_CASE      (      self   :     Optional[int]			):
   return self.sp_model.get_piece_size()






  def 					SCREAMING_SNAKE_CASE      (      self   :     Union[str, Any]			):
   __lowercase							  = {self.convert_ids_to_tokens(lowercase__			): i for i in range(self.vocab_size			)}
   vocab.update(self.added_tokens_encoder			)
   return vocab






  def __getstate__(      self   :     str			):
   __lowercase							  = self.__dict__.copy()
   __lowercase							  = None
   return state






  def __setstate__(      self   :     Optional[int]					,lowercase__   :     Optional[Any]			):
   __lowercase							  = d

   # for backward compatibility
   if not hasattr(self					,'''sp_model_kwargs'''			):
    __lowercase							  = {}

   __lowercase							  = spm.SentencePieceProcessor(**self.sp_model_kwargs			)
   self.sp_model.Load(self.vocab_file			)






  def 					SCREAMING_SNAKE_CASE      (      self   :     str					,lowercase__   :     str			):
   return self.sp_model.encode(lowercase__					,out_type=lowercase__			)






  def 					SCREAMING_SNAKE_CASE      (      self   :     Tuple					,lowercase__   :     Union[str, Any]			):
   return self.sp_model.piece_to_id(lowercase__			)






  def 					SCREAMING_SNAKE_CASE      (      self   :     Any					,lowercase__   :     Tuple			):
   __lowercase							  = self.sp_model.IdToPiece(lowercase__			)
   return token






  def 					SCREAMING_SNAKE_CASE      (      self   :     Optional[int]					,lowercase__   :     int			):
   __lowercase							  = []
   __lowercase							  = ''''''
   for token in tokens:
    # make sure that special tokens are not decoded using sentencepiece model
    if token in self.all_special_tokens:
     out_string += self.sp_model.decode(lowercase__			) + token
     __lowercase							  = []
    else:
     current_sub_tokens.append(lowercase__			)
   out_string += self.sp_model.decode(lowercase__			)
   return out_string.strip()






  def 					SCREAMING_SNAKE_CASE      (      self   :     int					,lowercase__   :     str					,lowercase__   :     Optional[str] = None			):
   if not os.path.isdir(lowercase__			):
    logger.error(F"Vocabulary path ({save_directory}) should be a directory"			)
    return
   __lowercase							  = os.path.join(
       lowercase__					,(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']			)

   if os.path.abspath(self.vocab_file			) != os.path.abspath(lowercase__			) and os.path.isfile(self.vocab_file			):
    copyfile(self.vocab_file					,lowercase__			)
   elif not os.path.isfile(self.vocab_file			):
    with open(lowercase__					,'''wb'''			) as fi:
     __lowercase							  = self.sp_model.serialized_model_proto()
     fi.write(lowercase__			)

   return (out_vocab_file,)

