




import os
from pathlib import Path
from unittest.mock import patch

import pytest
import zstandard as zstd

from datasets.download.download_config import DownloadConfig
from datasets.utils.file_utils import (
    OfflineModeIsEnabled,
    cached_path,
    fsspec_get,
    fsspec_head,
    ftp_get,
    ftp_head,
    get_from_cache,
    http_get,
    http_head,
)


UpperCAmelCase__				     = "\\n    Text data.\n    Second line of data."

UpperCAmelCase__				     = "file"







@pytest.fixture(scope='''session'''				)
def 		_A(       UpperCamelCase__							:			Tuple				)    -> Union[str, Any]:
							'''simple docstring'''


							__lowercase      =    tmp_path_factory.mktemp('''data'''				) / (FILE_PATH + '''.zstd''')
							__lowercase      =    bytes(UpperCamelCase__				,       '''utf-8'''				)
							with zstd.open(UpperCamelCase__				,       '''wb'''				) as f:
														f.write(UpperCamelCase__				)
							return path







@pytest.fixture
def 		_A(       UpperCamelCase__							:			Tuple				)    -> List[str]:
							'''simple docstring'''


							with open(os.path.join(tmpfs.local_root_dir				,       UpperCamelCase__				)				,       '''w'''				) as f:
														f.write(UpperCamelCase__				)
							return FILE_PATH







@pytest.mark.parametrize('''compression_format'''				,       ['''gzip''', '''xz''', '''zstd''']				)
def 		_A(       UpperCamelCase__							:			Union[str, Any]				,       UpperCamelCase__							:			Any				,       UpperCamelCase__							:			Dict				,       UpperCamelCase__							:			Optional[Any]				,       UpperCamelCase__							:			Optional[int]				,       UpperCamelCase__							:			int				)    -> List[str]:
							'''simple docstring'''


							__lowercase      =    {'''gzip''': gz_file, '''xz''': xz_file, '''zstd''': zstd_path}
							__lowercase      =    input_paths[compression_format]
							__lowercase      =    tmp_path / '''cache'''
							__lowercase      =    DownloadConfig(cache_dir=UpperCamelCase__				,       extract_compressed_file=UpperCamelCase__				)
							__lowercase      =    cached_path(UpperCamelCase__				,       download_config=UpperCamelCase__				)
							with open(UpperCamelCase__				) as f:
														__lowercase      =    f.read()
							with open(UpperCamelCase__				) as f:
														__lowercase      =    f.read()
							assert extracted_file_content == expected_file_content







@pytest.mark.parametrize('''default_extracted'''				,       [True, False]				)
@pytest.mark.parametrize('''default_cache_dir'''				,       [True, False]				)
def 		_A(       UpperCamelCase__							:			Optional[Any]				,       UpperCamelCase__							:			Dict				,       UpperCamelCase__							:			Any				,       UpperCamelCase__							:			List[Any]				,       UpperCamelCase__							:			str				)    -> Tuple:
							'''simple docstring'''


							__lowercase      =    '''custom_cache'''
							__lowercase      =    '''custom_extracted_dir'''
							__lowercase      =    tmp_path / '''custom_extracted_path'''
							if default_extracted:
														__lowercase      =    ('''downloads''' if default_cache_dir else custom_cache_dir, '''extracted''')
							else:
														monkeypatch.setattr('''datasets.config.EXTRACTED_DATASETS_DIR'''				,       UpperCamelCase__				)
														monkeypatch.setattr('''datasets.config.EXTRACTED_DATASETS_PATH'''				,       str(UpperCamelCase__				)				)
														__lowercase      =    custom_extracted_path.parts[-2:] if default_cache_dir else (custom_cache_dir, custom_extracted_dir)

							__lowercase      =    xz_file
							__lowercase      =    (
							    DownloadConfig(extract_compressed_file=UpperCamelCase__				)
							    if default_cache_dir
							    else DownloadConfig(cache_dir=tmp_path / custom_cache_dir				,       extract_compressed_file=UpperCamelCase__				)
							)
							__lowercase      =    cached_path(UpperCamelCase__				,       download_config=UpperCamelCase__				)
							assert Path(UpperCamelCase__				).parent.parts[-2:] == expected







def 		_A(       UpperCamelCase__							:			Tuple				)    -> List[str]:
							'''simple docstring'''


							__lowercase      =    str(Path(UpperCamelCase__				).resolve()				)
							assert cached_path(UpperCamelCase__				) == text_file
							# relative path
							__lowercase      =    str(Path(UpperCamelCase__				).resolve().relative_to(Path(os.getcwd()				)				)				)
							assert cached_path(UpperCamelCase__				) == text_file







def 		_A(       UpperCamelCase__							:			int				)    -> str:
							'''simple docstring'''


							__lowercase      =    str(tmp_path.resolve() / '''__missing_file__.txt'''				)
							with pytest.raises(UpperCamelCase__				):
														cached_path(UpperCamelCase__				)
							# relative path
							__lowercase      =    '''./__missing_file__.txt'''
							with pytest.raises(UpperCamelCase__				):
														cached_path(UpperCamelCase__				)







def 		_A(       UpperCamelCase__							:			Dict				)    -> List[Any]:
							'''simple docstring'''


							__lowercase      =    get_from_cache(F'tmp://{tmpfs_file}'				)
							with open(UpperCamelCase__				) as f:
														__lowercase      =    f.read()
							assert output_file_content == FILE_CONTENT







@patch('''datasets.config.HF_DATASETS_OFFLINE'''				,       UpperCamelCase__				)
def 		_A(       )    -> Tuple:
							'''simple docstring'''


							with pytest.raises(UpperCamelCase__				):
														cached_path('''https://huggingface.co'''				)







@patch('''datasets.config.HF_DATASETS_OFFLINE'''				,       UpperCamelCase__				)
def 		_A(       UpperCamelCase__							:			Optional[Any]				)    -> List[str]:
							'''simple docstring'''


							__lowercase      =    tmp_path_factory.mktemp('''data'''				) / '''file.html'''
							with pytest.raises(UpperCamelCase__				):
														http_get('''https://huggingface.co'''				,       temp_file=UpperCamelCase__				)
							with pytest.raises(UpperCamelCase__				):
														http_head('''https://huggingface.co'''				)







@patch('''datasets.config.HF_DATASETS_OFFLINE'''				,       UpperCamelCase__				)
def 		_A(       UpperCamelCase__							:			List[str]				)    -> Any:
							'''simple docstring'''


							__lowercase      =    tmp_path_factory.mktemp('''data'''				) / '''file.html'''
							with pytest.raises(UpperCamelCase__				):
														ftp_get('''ftp://huggingface.co'''				,       temp_file=UpperCamelCase__				)
							with pytest.raises(UpperCamelCase__				):
														ftp_head('''ftp://huggingface.co'''				)







@patch('''datasets.config.HF_DATASETS_OFFLINE'''				,       UpperCamelCase__				)
def 		_A(       UpperCamelCase__							:			Any				)    -> int:
							'''simple docstring'''


							__lowercase      =    tmp_path_factory.mktemp('''data'''				) / '''file.html'''
							with pytest.raises(UpperCamelCase__				):
														fsspec_get('''s3://huggingface.co'''				,       temp_file=UpperCamelCase__				)
							with pytest.raises(UpperCamelCase__				):
														fsspec_head('''s3://huggingface.co'''				)












from __future__ import annotations

from math import pi
from typing import Protocol

import matplotlib.pyplot as plt
import numpy as np







class a (     __SCREAMING_SNAKE_CASE  ):
						"""simple docstring"""

						def     UpperCAmelCase_      ( self :     List[str]				,							lowerCamelCase__ :     float				)    ->						float:
													"""simple docstring"""


													return 0.0







def 		_A(       UpperCamelCase__							:			np.ndarray				,       UpperCamelCase__							:			int				)    -> tuple[int | float, int | float]:
							'''simple docstring'''


							__lowercase      =    min([-20, np.min(fft_results[1 : samplerate // 2 - 1]				)]				)
							__lowercase      =    max([20, np.max(fft_results[1 : samplerate // 2 - 1]				)]				)
							return lowest, highest







def 		_A(       UpperCamelCase__							:			FilterType				,       UpperCamelCase__							:			int				)    -> None:
							'''simple docstring'''


							__lowercase      =    512
							__lowercase      =    [1] + [0] * (size - 1)
							__lowercase      =    [filter_type.process(UpperCamelCase__				) for item in inputs]

							__lowercase      =    [0] * (samplerate - size)  # zero-padding
							outputs += filler
							__lowercase      =    np.abs(np.fft.fft(UpperCamelCase__				)				)
							__lowercase      =    20 * np.logaa(UpperCamelCase__				)

							# Frequencies on log scale from 24 to nyquist frequency
							plt.xlim(24				,       samplerate / 2 - 1				)
							plt.xlabel('''Frequency (Hz)'''				)
							plt.xscale('''log'''				)

							# Display within reasonable bounds
							__lowercase      =    get_bounds(UpperCamelCase__				,       UpperCamelCase__				)
							plt.ylim(max([-80, bounds[0]]				)				,       min([80, bounds[1]]				)				)
							plt.ylabel('''Gain (dB)'''				)

							plt.plot(UpperCamelCase__				)
							plt.show()







def 		_A(       UpperCamelCase__							:			FilterType				,       UpperCamelCase__							:			int				)    -> None:
							'''simple docstring'''


							__lowercase      =    512
							__lowercase      =    [1] + [0] * (size - 1)
							__lowercase      =    [filter_type.process(UpperCamelCase__				) for item in inputs]

							__lowercase      =    [0] * (samplerate - size)  # zero-padding
							outputs += filler
							__lowercase      =    np.angle(np.fft.fft(UpperCamelCase__				)				)

							# Frequencies on log scale from 24 to nyquist frequency
							plt.xlim(24				,       samplerate / 2 - 1				)
							plt.xlabel('''Frequency (Hz)'''				)
							plt.xscale('''log'''				)

							plt.ylim(-2 * pi				,       2 * pi				)
							plt.ylabel('''Phase shift (Radians)'''				)
							plt.plot(np.unwrap(UpperCamelCase__				,       -2 * pi				)				)
							plt.show()






