




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










from random import randint
from tempfile import TemporaryFile

import numpy as np







def 	_a      (						SCREAMING_SNAKE_CASE_							:				int      ,      SCREAMING_SNAKE_CASE_							:				str      ,      SCREAMING_SNAKE_CASE_							:				List[str]     ):
					__lowerCAmelCase				   =       0
					if start < end:
										__lowerCAmelCase				   =       randint(SCREAMING_SNAKE_CASE_      ,      SCREAMING_SNAKE_CASE_     )
										__lowerCAmelCase				   =       a[end]
										__lowerCAmelCase				   =       a[pivot]
										__lowerCAmelCase				   =       temp

										__lowerCAmelCase   ,							__lowerCAmelCase				   =       _in_place_partition(SCREAMING_SNAKE_CASE_      ,      SCREAMING_SNAKE_CASE_      ,      SCREAMING_SNAKE_CASE_     )
										count += _in_place_quick_sort(SCREAMING_SNAKE_CASE_      ,      SCREAMING_SNAKE_CASE_      ,      p - 1     )
										count += _in_place_quick_sort(SCREAMING_SNAKE_CASE_      ,      p + 1      ,      SCREAMING_SNAKE_CASE_     )
					return count







def 	_a      (						SCREAMING_SNAKE_CASE_							:				str      ,      SCREAMING_SNAKE_CASE_							:				List[Any]      ,      SCREAMING_SNAKE_CASE_							:				Optional[int]     ):
					__lowerCAmelCase				   =       0
					__lowerCAmelCase				   =       randint(SCREAMING_SNAKE_CASE_      ,      SCREAMING_SNAKE_CASE_     )
					__lowerCAmelCase				   =       a[end]
					__lowerCAmelCase				   =       a[pivot]
					__lowerCAmelCase				   =       temp
					__lowerCAmelCase				   =       start - 1
					for index in range(SCREAMING_SNAKE_CASE_      ,      SCREAMING_SNAKE_CASE_     ):
										count += 1
										if a[index] < a[end]:  # check if current val is less than pivot value
															__lowerCAmelCase				   =       new_pivot_index + 1
															__lowerCAmelCase				   =       a[new_pivot_index]
															__lowerCAmelCase				   =       a[index]
															__lowerCAmelCase				   =       temp

					__lowerCAmelCase				   =       a[new_pivot_index + 1]
					__lowerCAmelCase				   =       a[end]
					__lowerCAmelCase				   =       temp
					return new_pivot_index + 1, count


UpperCamelCase__    			=			TemporaryFile()
UpperCamelCase__    			=			100  # 1000 elements are to be sorted


UpperCamelCase__			,	UpperCamelCase__    			=			0, 1  # mean and standard deviation
UpperCamelCase__    			=			np.random.normal(mu, sigma, p)
np.save(outfile, X)
print("""The array is""")
print(X)


outfile.seek(0)  # using the same array
UpperCamelCase__    			=			np.load(outfile)
UpperCamelCase__    			=			len(M) - 1
UpperCamelCase__    			=			_in_place_quick_sort(M, 0, r)

print(
    """No of Comparisons for 100 elements selected from a standard normal distribution"""
    """is :"""
)


print(z)




