


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,
)


_A		       =						'\\n    Text data.\n    Second line of data.'

_A		       =						'file'

@pytest.fixture(scope='session'				)
def 						_UpperCAmelCase				(			SCREAMING_SNAKE_CASE__			:					Optional[int]				):
     __UpperCamelCase    							=tmp_path_factory.mktemp('data'				) / (FILE_PATH + '.zstd')
     __UpperCamelCase    							=bytes(SCREAMING_SNAKE_CASE__			,     'utf-8'				)
     with zstd.open(SCREAMING_SNAKE_CASE__			,     'wb'				) as f:
          f.write(SCREAMING_SNAKE_CASE__				)
     return path

@pytest.fixture
def 						_UpperCAmelCase				(			SCREAMING_SNAKE_CASE__			:					int				):
     with open(os.path.join(tmpfs.local_root_dir			,     SCREAMING_SNAKE_CASE__				)			,     'w'				) as f:
          f.write(SCREAMING_SNAKE_CASE__				)
     return FILE_PATH

@pytest.mark.parametrize('compression_format'			,     ['gzip', 'xz', 'zstd']				)
def 						_UpperCAmelCase				(			SCREAMING_SNAKE_CASE__			:					Dict			,     SCREAMING_SNAKE_CASE__			:					Dict			,     SCREAMING_SNAKE_CASE__			:					List[str]			,     SCREAMING_SNAKE_CASE__			:					Dict			,     SCREAMING_SNAKE_CASE__			:					Dict			,     SCREAMING_SNAKE_CASE__			:					Any				):
     __UpperCamelCase    							={'gzip': gz_file, 'xz': xz_file, 'zstd': zstd_path}
     __UpperCamelCase    							=input_paths[compression_format]
     __UpperCamelCase    							=tmp_path / 'cache'
     __UpperCamelCase    							=DownloadConfig(cache_dir=SCREAMING_SNAKE_CASE__			,     extract_compressed_file=SCREAMING_SNAKE_CASE__				)
     __UpperCamelCase    							=cached_path(SCREAMING_SNAKE_CASE__			,     download_config=SCREAMING_SNAKE_CASE__				)
     with open(SCREAMING_SNAKE_CASE__				) as f:
          __UpperCamelCase    							=f.read()
     with open(SCREAMING_SNAKE_CASE__				) as f:
          __UpperCamelCase    							=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 						_UpperCAmelCase				(			SCREAMING_SNAKE_CASE__			:					List[str]			,     SCREAMING_SNAKE_CASE__			:					List[str]			,     SCREAMING_SNAKE_CASE__			:					Optional[Any]			,     SCREAMING_SNAKE_CASE__			:					List[Any]			,     SCREAMING_SNAKE_CASE__			:					Any				):
     __UpperCamelCase    							='custom_cache'
     __UpperCamelCase    							='custom_extracted_dir'
     __UpperCamelCase    							=tmp_path / 'custom_extracted_path'
     if default_extracted:
          __UpperCamelCase    							=('downloads' if default_cache_dir else custom_cache_dir, 'extracted')
     else:
          monkeypatch.setattr('datasets.config.EXTRACTED_DATASETS_DIR'			,     SCREAMING_SNAKE_CASE__				)
          monkeypatch.setattr('datasets.config.EXTRACTED_DATASETS_PATH'			,     str(SCREAMING_SNAKE_CASE__				)				)
          __UpperCamelCase    							=custom_extracted_path.parts[-2:] if default_cache_dir else (custom_cache_dir, custom_extracted_dir)

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

def 						_UpperCAmelCase				(			SCREAMING_SNAKE_CASE__			:					Optional[Any]				):
     # absolute path
     __UpperCamelCase    							=str(Path(SCREAMING_SNAKE_CASE__				).resolve()				)
     assert cached_path(SCREAMING_SNAKE_CASE__				) == text_file
     # relative path
     __UpperCamelCase    							=str(Path(SCREAMING_SNAKE_CASE__				).resolve().relative_to(Path(os.getcwd()				)				)				)
     assert cached_path(SCREAMING_SNAKE_CASE__				) == text_file

def 						_UpperCAmelCase				(			SCREAMING_SNAKE_CASE__			:					List[Any]				):
     # absolute path
     __UpperCamelCase    							=str(tmp_path.resolve() / '__missing_file__.txt'				)
     with pytest.raises(SCREAMING_SNAKE_CASE__				):
          cached_path(SCREAMING_SNAKE_CASE__				)
     # relative path
     __UpperCamelCase    							='./__missing_file__.txt'
     with pytest.raises(SCREAMING_SNAKE_CASE__				):
          cached_path(SCREAMING_SNAKE_CASE__				)

def 						_UpperCAmelCase				(			SCREAMING_SNAKE_CASE__			:					str				):
     __UpperCamelCase    							=get_from_cache(F'tmp://{tmpfs_file}'				)
     with open(SCREAMING_SNAKE_CASE__				) as f:
          __UpperCamelCase    							=f.read()
     assert output_file_content == FILE_CONTENT

@patch('datasets.config.HF_DATASETS_OFFLINE'			,     SCREAMING_SNAKE_CASE__				)
def 						_UpperCAmelCase				(			):
     with pytest.raises(SCREAMING_SNAKE_CASE__				):
          cached_path('https://huggingface.co'				)

@patch('datasets.config.HF_DATASETS_OFFLINE'			,     SCREAMING_SNAKE_CASE__				)
def 						_UpperCAmelCase				(			SCREAMING_SNAKE_CASE__			:					List[str]				):
     __UpperCamelCase    							=tmp_path_factory.mktemp('data'				) / 'file.html'
     with pytest.raises(SCREAMING_SNAKE_CASE__				):
          http_get('https://huggingface.co'			,     temp_file=SCREAMING_SNAKE_CASE__				)
     with pytest.raises(SCREAMING_SNAKE_CASE__				):
          http_head('https://huggingface.co'				)

@patch('datasets.config.HF_DATASETS_OFFLINE'			,     SCREAMING_SNAKE_CASE__				)
def 						_UpperCAmelCase				(			SCREAMING_SNAKE_CASE__			:					str				):
     __UpperCamelCase    							=tmp_path_factory.mktemp('data'				) / 'file.html'
     with pytest.raises(SCREAMING_SNAKE_CASE__				):
          ftp_get('ftp://huggingface.co'			,     temp_file=SCREAMING_SNAKE_CASE__				)
     with pytest.raises(SCREAMING_SNAKE_CASE__				):
          ftp_head('ftp://huggingface.co'				)





@patch('datasets.config.HF_DATASETS_OFFLINE'			,     SCREAMING_SNAKE_CASE__				)
def 						_UpperCAmelCase				(			SCREAMING_SNAKE_CASE__			:					Dict				):
     __UpperCamelCase    							=tmp_path_factory.mktemp('data'				) / 'file.html'
     with pytest.raises(SCREAMING_SNAKE_CASE__				):
          fsspec_get('s3://huggingface.co'			,     temp_file=SCREAMING_SNAKE_CASE__				)
     with pytest.raises(SCREAMING_SNAKE_CASE__				):
          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     UpperCAmelCase__       (					A_		):



    """simple docstring"""






    def _a					(			self					,   A_    )  ->       float:
         return 0.0

def 						_UpperCAmelCase				(			SCREAMING_SNAKE_CASE__			:					np.ndarray			,     SCREAMING_SNAKE_CASE__			:					int				):
     __UpperCamelCase    							=min([-20, np.min(fft_results[1 : samplerate // 2 - 1]				)]				)
     __UpperCamelCase    							=max([20, np.max(fft_results[1 : samplerate // 2 - 1]				)]				)
     return lowest, highest

def 						_UpperCAmelCase				(			SCREAMING_SNAKE_CASE__			:					FilterType			,     SCREAMING_SNAKE_CASE__			:					int				):
     __UpperCamelCase    							=5_12
     __UpperCamelCase    							=[1] + [0] * (size - 1)
     __UpperCamelCase    							=[filter_type.process(SCREAMING_SNAKE_CASE__				) for item in inputs]

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

     # 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
     __UpperCamelCase    							=get_bounds(SCREAMING_SNAKE_CASE__			,     SCREAMING_SNAKE_CASE__				)
     plt.ylim(max([-80, bounds[0]]				)			,     min([80, bounds[1]]				)				)
     plt.ylabel('Gain (dB)'				)

     plt.plot(SCREAMING_SNAKE_CASE__				)
     plt.show()





def 						_UpperCAmelCase				(			SCREAMING_SNAKE_CASE__			:					FilterType			,     SCREAMING_SNAKE_CASE__			:					int				):
     __UpperCamelCase    							=5_12
     __UpperCamelCase    							=[1] + [0] * (size - 1)
     __UpperCamelCase    							=[filter_type.process(SCREAMING_SNAKE_CASE__				) for item in inputs]

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

     # 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(SCREAMING_SNAKE_CASE__			,     -2 * pi				)				)
     plt.show()





