from __future__ import annotations



def 	__A		(      _A				,					_A				,					_A				,					):



 """simple docstring"""


 if (electron_conc, hole_conc, intrinsic_conc).count(0       ) != 1:
  raise ValueError("You cannot supply more or less than 2 values"       )
 elif electron_conc < 0:
  raise ValueError("Electron concentration cannot be negative in a semiconductor"       )
 elif hole_conc < 0:
  raise ValueError("Hole concentration cannot be negative in a semiconductor"       )
 elif intrinsic_conc < 0:
  raise ValueError(
      "Intrinsic concentration cannot be negative in a semiconductor"       )
 elif electron_conc == 0:
  return (
      "electron_conc",
      intrinsic_conc**2 / hole_conc,
  )
 elif hole_conc == 0:
  return (
      "hole_conc",
      intrinsic_conc**2 / electron_conc,
  )
 elif intrinsic_conc == 0:
  return (
      "intrinsic_conc",
      (electron_conc * hole_conc) ** 0.5,
  )
 else:
  return (-1, -1)


if __name__ == "__main__":
  import doctest

  doctest.testmod()



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		(      ):



 """simple docstring"""


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



@pytest.fixture(scope="session"       )
def 	__A		(      _A				,					_A       ):



 """simple docstring"""


 __a							=	str(tmp_path_factory.mktemp("data"       ) / "file.arrow"       )
 dataset.map(cache_file_name=_A       )
 return filename


# FILE_CONTENT + files


SCREAMING_SNAKE_CASE			:						Tuple				  =		"""\
    Text data.
    Second line of data."""



@pytest.fixture(scope="session"       )
def 	__A		(      _A       ):



 """simple docstring"""


 __a							=	tmp_path_factory.mktemp("data"       ) / "file.txt"
 __a							=	FILE_CONTENT
 with open(_A				,					"w"       ) as f:
  f.write(_A       )
 return filename



@pytest.fixture(scope="session"       )
def 	__A		(      _A       ):



 """simple docstring"""


 import bza

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



@pytest.fixture(scope="session"       )
def 	__A		(      _A       ):



 """simple docstring"""


 import gzip

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



@pytest.fixture(scope="session"       )
def 	__A		(      _A       ):



 """simple docstring"""


 if datasets.config.LZ4_AVAILABLE:
  import lza.frame

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



@pytest.fixture(scope="session"       )
def 	__A		(      _A				,					_A       ):



 """simple docstring"""


 if datasets.config.PY7ZR_AVAILABLE:
  import pyazr

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



@pytest.fixture(scope="session"       )
def 	__A		(      _A				,					_A       ):



 """simple docstring"""


 import tarfile

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



@pytest.fixture(scope="session"       )
def 	__A		(      _A       ):



 """simple docstring"""


 import lzma

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



@pytest.fixture(scope="session"       )
def 	__A		(      _A				,					_A       ):



 """simple docstring"""


 import zipfile

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



@pytest.fixture(scope="session"       )
def 	__A		(      _A       ):



 """simple docstring"""


 if datasets.config.ZSTANDARD_AVAILABLE:
  import zstandard as zstd

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



@pytest.fixture(scope="session"       )
def 	__A		(      _A       ):



 """simple docstring"""


 __a							=	tmp_path_factory.mktemp("data"       ) / "file.xml"
 __a							=	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(_A				,					"w"       ) as f:
  f.write(_A       )
 return filename


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

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

SCREAMING_SNAKE_CASE			:						List[Any]				  =		[
    {"""col_1""": """s0""", """col_2""": 0, """col_3""": 0.0},
    {"""col_1""": """s1""", """col_2""": 1, """col_3""": 1.0},
    {"""col_1""": """s2""", """col_2""": 2, """col_3""": 2.0},
    {"""col_1""": """s3""", """col_2""": 3, """col_3""": 3.0},
]



@pytest.fixture(scope="session"       )
def 	__A		(      ):



 """simple docstring"""


 return DATA_DICT_OF_LISTS



@pytest.fixture(scope="session"       )
def 	__A		(      _A       ):



 """simple docstring"""


 __a							=	datasets.Dataset.from_dict(_A       )
 __a							=	str(tmp_path_factory.mktemp("data"       ) / "dataset.arrow"       )
 dataset.map(cache_file_name=_A       )
 return path



@pytest.fixture(scope="session"       )
def 	__A		(      _A       ):



 """simple docstring"""


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



 """simple docstring"""


 __a							=	str(tmp_path_factory.mktemp("data"       ) / "dataset.csv"       )
 with open(_A				,					"w"				,					newline=""       ) as f:
  __a							=	csv.DictWriter(_A				,					fieldnames=["col_1", "col_2", "col_3"]       )
  writer.writeheader()
  for item in DATA:
   writer.writerow(_A       )
 return path



@pytest.fixture(scope="session"       )
def 	__A		(      _A       ):



 """simple docstring"""


 __a							=	str(tmp_path_factory.mktemp("data"       ) / "dataset2.csv"       )
 with open(_A				,					"w"				,					newline=""       ) as f:
  __a							=	csv.DictWriter(_A				,					fieldnames=["col_1", "col_2", "col_3"]       )
  writer.writeheader()
  for item in DATA:
   writer.writerow(_A       )
 return path



@pytest.fixture(scope="session"       )
def 	__A		(      _A				,					_A       ):



 """simple docstring"""


 import bza

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



@pytest.fixture(scope="session"       )
def 	__A		(      _A				,					_A				,					_A       ):



 """simple docstring"""


 __a							=	tmp_path_factory.mktemp("data"       ) / "dataset.csv.zip"
 with zipfile.ZipFile(_A				,					"w"       ) as f:
  f.write(_A				,					arcname=os.path.basename(_A       )       )
  f.write(_A				,					arcname=os.path.basename(_A       )       )
 return path



@pytest.fixture(scope="session"       )
def 	__A		(      _A				,					_A				,					_A       ):



 """simple docstring"""


 __a							=	tmp_path_factory.mktemp("data"       ) / "dataset.csv.zip"
 with zipfile.ZipFile(_A				,					"w"       ) as f:
  f.write(_A				,					arcname=os.path.basename(csv_path.replace(".csv"				,					".CSV"       )       )       )
  f.write(_A				,					arcname=os.path.basename(csva_path.replace(".csv"				,					".CSV"       )       )       )
 return path



@pytest.fixture(scope="session"       )
def 	__A		(      _A				,					_A				,					_A       ):



 """simple docstring"""


 __a							=	tmp_path_factory.mktemp("data"       ) / "dataset_with_dir.csv.zip"
 with zipfile.ZipFile(_A				,					"w"       ) as f:
  f.write(_A				,					arcname=os.path.join("main_dir"				,					os.path.basename(_A       )       )       )
  f.write(_A				,					arcname=os.path.join("main_dir"				,					os.path.basename(_A       )       )       )
 return path



@pytest.fixture(scope="session"       )
def 	__A		(      _A       ):



 """simple docstring"""


 __a							=	str(tmp_path_factory.mktemp("data"       ) / "dataset.parquet"       )
 __a							=	pa.schema(
     {
         "col_1": pa.string(),
         "col_2": pa.intaa(),
         "col_3": pa.floataa(),
     }       )
 with open(_A				,					"wb"       ) as f:
  __a							=	pq.ParquetWriter(_A				,					schema=_A       )
  __a							=	pa.Table.from_pydict({k: [DATA[i][k] for i in range(len(_A       )       )] for k in DATA[0]}				,					schema=_A       )
  writer.write_table(_A       )
  writer.close()
 return path



@pytest.fixture(scope="session"       )
def 	__A		(      _A       ):



 """simple docstring"""


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



@pytest.fixture(scope="session"       )
def 	__A		(      _A       ):



 """simple docstring"""


 __a							=	str(tmp_path_factory.mktemp("data"       ) / "dataset.json"       )
 __a							=	{"data": DATA_DICT_OF_LISTS}
 with open(_A				,					"w"       ) as f:
  json.dump(_A				,					_A       )
 return path



@pytest.fixture(scope="session"       )
def 	__A		(      _A       ):



 """simple docstring"""


 __a							=	str(tmp_path_factory.mktemp("data"       ) / "dataset.jsonl"       )
 with open(_A				,					"w"       ) as f:
  for item in DATA:
   f.write(json.dumps(_A       ) + "\n"       )
 return path



@pytest.fixture(scope="session"       )
def 	__A		(      _A       ):



 """simple docstring"""


 __a							=	str(tmp_path_factory.mktemp("data"       ) / "dataset2.jsonl"       )
 with open(_A				,					"w"       ) as f:
  for item in DATA:
   f.write(json.dumps(_A       ) + "\n"       )
 return path



@pytest.fixture(scope="session"       )
def 	__A		(      _A       ):



 """simple docstring"""


 __a							=	str(tmp_path_factory.mktemp("data"       ) / "dataset_312.jsonl"       )
 with open(_A				,					"w"       ) as f:
  for item in DATA_312:
   f.write(json.dumps(_A       ) + "\n"       )
 return path



@pytest.fixture(scope="session"       )
def 	__A		(      _A       ):



 """simple docstring"""


 __a							=	str(tmp_path_factory.mktemp("data"       ) / "dataset-str.jsonl"       )
 with open(_A				,					"w"       ) as f:
  for item in DATA_STR:
   f.write(json.dumps(_A       ) + "\n"       )
 return path



@pytest.fixture(scope="session"       )
def 	__A		(      _A				,					_A       ):



 """simple docstring"""


 import gzip

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



@pytest.fixture(scope="session"       )
def 	__A		(      _A				,					_A       ):



 """simple docstring"""


 import gzip

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



@pytest.fixture(scope="session"       )
def 	__A		(      _A				,					_A				,					_A       ):



 """simple docstring"""


 __a							=	tmp_path_factory.mktemp("data"       ) / "dataset.jsonl.zip"
 with zipfile.ZipFile(_A				,					"w"       ) as f:
  f.write(_A				,					arcname=os.path.basename(_A       )       )
  f.write(_A				,					arcname=os.path.basename(_A       )       )
 return path



@pytest.fixture(scope="session"       )
def 	__A		(      _A				,					_A				,					_A				,					_A       ):



 """simple docstring"""


 __a							=	tmp_path_factory.mktemp("data"       ) / "dataset_nested.jsonl.zip"
 with zipfile.ZipFile(_A				,					"w"       ) as f:
  f.write(_A				,					arcname=os.path.join("nested"				,					os.path.basename(_A       )       )       )
 return path



@pytest.fixture(scope="session"       )
def 	__A		(      _A				,					_A				,					_A       ):



 """simple docstring"""


 __a							=	tmp_path_factory.mktemp("data"       ) / "dataset_with_dir.jsonl.zip"
 with zipfile.ZipFile(_A				,					"w"       ) as f:
  f.write(_A				,					arcname=os.path.join("main_dir"				,					os.path.basename(_A       )       )       )
  f.write(_A				,					arcname=os.path.join("main_dir"				,					os.path.basename(_A       )       )       )
 return path



@pytest.fixture(scope="session"       )
def 	__A		(      _A				,					_A				,					_A       ):



 """simple docstring"""


 __a							=	tmp_path_factory.mktemp("data"       ) / "dataset.jsonl.tar"
 with tarfile.TarFile(_A				,					"w"       ) as f:
  f.add(_A				,					arcname=os.path.basename(_A       )       )
  f.add(_A				,					arcname=os.path.basename(_A       )       )
 return path



@pytest.fixture(scope="session"       )
def 	__A		(      _A				,					_A				,					_A				,					_A       ):



 """simple docstring"""


 __a							=	tmp_path_factory.mktemp("data"       ) / "dataset_nested.jsonl.tar"
 with tarfile.TarFile(_A				,					"w"       ) as f:
  f.add(_A				,					arcname=os.path.join("nested"				,					os.path.basename(_A       )       )       )
 return path



@pytest.fixture(scope="session"       )
def 	__A		(      _A       ):



 """simple docstring"""


 __a							=	["0", "1", "2", "3"]
 __a							=	str(tmp_path_factory.mktemp("data"       ) / "dataset.txt"       )
 with open(_A				,					"w"       ) as f:
  for item in data:
   f.write(item + "\n"       )
 return path



@pytest.fixture(scope="session"       )
def 	__A		(      _A       ):



 """simple docstring"""


 __a							=	["0", "1", "2", "3"]
 __a							=	str(tmp_path_factory.mktemp("data"       ) / "dataset2.txt"       )
 with open(_A				,					"w"       ) as f:
  for item in data:
   f.write(item + "\n"       )
 return path



@pytest.fixture(scope="session"       )
def 	__A		(      _A       ):



 """simple docstring"""


 __a							=	["0", "1", "2", "3"]
 __a							=	tmp_path_factory.mktemp("data"       ) / "dataset.abc"
 with open(_A				,					"w"       ) as f:
  for item in data:
   f.write(item + "\n"       )
 return path



@pytest.fixture(scope="session"       )
def 	__A		(      _A				,					_A				,					_A       ):



 """simple docstring"""


 __a							=	tmp_path_factory.mktemp("data"       ) / "dataset.text.zip"
 with zipfile.ZipFile(_A				,					"w"       ) as f:
  f.write(_A				,					arcname=os.path.basename(_A       )       )
  f.write(_A				,					arcname=os.path.basename(_A       )       )
 return path



@pytest.fixture(scope="session"       )
def 	__A		(      _A				,					_A				,					_A       ):



 """simple docstring"""


 __a							=	tmp_path_factory.mktemp("data"       ) / "dataset_with_dir.text.zip"
 with zipfile.ZipFile(_A				,					"w"       ) as f:
  f.write(_A				,					arcname=os.path.join("main_dir"				,					os.path.basename(_A       )       )       )
  f.write(_A				,					arcname=os.path.join("main_dir"				,					os.path.basename(_A       )       )       )
 return path



@pytest.fixture(scope="session"       )
def 	__A		(      _A				,					_A				,					_A       ):



 """simple docstring"""


 __a							=	tmp_path_factory.mktemp("data"       ) / "dataset.ext.zip"
 with zipfile.ZipFile(_A				,					"w"       ) as f:
  f.write(_A				,					arcname=os.path.basename("unsupported.ext"       )       )
  f.write(_A				,					arcname=os.path.basename("unsupported_2.ext"       )       )
 return path



@pytest.fixture(scope="session"       )
def 	__A		(      _A       ):



 """simple docstring"""


 __a							=	"\n".join(["First", "Second\u2029with Unicode new line", "Third"]       )
 __a							=	str(tmp_path_factory.mktemp("data"       ) / "dataset_with_unicode_new_lines.txt"       )
 with open(_A				,					"w"				,					encoding="utf-8"       ) as f:
  f.write(_A       )
 return path



@pytest.fixture(scope="session"       )
def 	__A		(      ):



 """simple docstring"""


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



@pytest.fixture(scope="session"       )
def 	__A		(      ):



 """simple docstring"""


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



@pytest.fixture(scope="session"       )
def 	__A		(      _A				,					_A       ):



 """simple docstring"""


 __a							=	tmp_path_factory.mktemp("data"       ) / "dataset.img.zip"
 with zipfile.ZipFile(_A				,					"w"       ) as f:
  f.write(_A				,					arcname=os.path.basename(_A       )       )
  f.write(_A				,					arcname=os.path.basename(_A       ).replace(".jpg"				,					"2.jpg"       )       )
 return path






@pytest.fixture(scope="session"       )
def 	__A		(      _A       ):



 """simple docstring"""


 __a							=	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


