
from __future__ import annotations

from math import pi
from typing import Protocol

import matplotlib.pyplot as plt
import numpy as np


class 			lowercase_		(      A       ):


       def 	_snake_case				(    self						,       __A				)						->    float:
              return 0.0






def 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     np.ndarray			,							UpperCAmelCase_	:     int				)			->						tuple[int | float, int | float]:
       SCREAMING_SNAKE_CASE_							:				List[Any]		=min([-2_0, np.min(fft_results[1 : samplerate // 2 - 1]				)]				)
       SCREAMING_SNAKE_CASE_							:				Optional[int]		=max([2_0, np.max(fft_results[1 : samplerate // 2 - 1]				)]				)
       return lowest, highest
def 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     FilterType			,							UpperCAmelCase_	:     int				)			->						None:
       SCREAMING_SNAKE_CASE_							:				List[Any]		=5_1_2
       SCREAMING_SNAKE_CASE_							:				Optional[int]		=[1] + [0] * (size - 1)
       SCREAMING_SNAKE_CASE_							:				Tuple		=[filter_type.process(UpperCAmelCase_				) for item in inputs]

       SCREAMING_SNAKE_CASE_							:				Any		=[0] * (samplerate - size)  # zero-padding
       outputs += filler
       SCREAMING_SNAKE_CASE_							:				str		=np.abs(np.fft.fft(UpperCAmelCase_				)				)
       SCREAMING_SNAKE_CASE_							:				Dict		=2_0 * np.logaa(UpperCAmelCase_				)

       # Frequencies on log scale from 24 to nyquist frequency
       plt.xlim(2_4			,							samplerate / 2 - 1				)
       plt.xlabel('''Frequency (Hz)'''				)
       plt.xscale('''log'''				)

       # Display within reasonable bounds
       SCREAMING_SNAKE_CASE_							:				List[Any]		=get_bounds(UpperCAmelCase_			,							UpperCAmelCase_				)
       plt.ylim(max([-8_0, bounds[0]]				)			,							min([8_0, bounds[1]]				)				)
       plt.ylabel('''Gain (dB)'''				)

       plt.plot(UpperCAmelCase_				)
       plt.show()

def 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     FilterType			,							UpperCAmelCase_	:     int				)			->						None:
       SCREAMING_SNAKE_CASE_							:				List[Any]		=5_1_2
       SCREAMING_SNAKE_CASE_							:				Optional[Any]		=[1] + [0] * (size - 1)
       SCREAMING_SNAKE_CASE_							:				str		=[filter_type.process(UpperCAmelCase_				) for item in inputs]

       SCREAMING_SNAKE_CASE_							:				str		=[0] * (samplerate - size)  # zero-padding
       outputs += filler
       SCREAMING_SNAKE_CASE_							:				List[str]		=np.angle(np.fft.fft(UpperCAmelCase_				)				)

       # Frequencies on log scale from 24 to nyquist frequency
       plt.xlim(2_4			,							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()


import importlib
import os

import fsspec
import pytest
from fsspec import register_implementation
from fsspec.registry import _registry as _fsspec_registry

from datasets.filesystems import COMPRESSION_FILESYSTEMS, HfFileSystem, extract_path_from_uri, is_remote_filesystem

from .utils import require_lza, require_zstandard
def 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     List[Any]				)			->						Dict:
       assert "mock" in _fsspec_registry
       assert "bz2" in _fsspec_registry
def 							SCREAMING_SNAKE_CASE_	(					)			->						Union[str, Any]:
       assert "mock" not in _fsspec_registry
       assert "bz2" in _fsspec_registry
def 							SCREAMING_SNAKE_CASE_	(					)			->						Dict:
       SCREAMING_SNAKE_CASE_							:				Optional[Any]		='''mock-s3-bucket'''
       SCREAMING_SNAKE_CASE_							:				Any		=f's3://{mock_bucket}'
       SCREAMING_SNAKE_CASE_							:				Dict		=extract_path_from_uri(UpperCAmelCase_				)
       assert dataset_path.startswith('''s3://'''				) is False

       SCREAMING_SNAKE_CASE_							:				Dict		='''./local/path'''
       SCREAMING_SNAKE_CASE_							:				str		=extract_path_from_uri(UpperCAmelCase_				)
       assert dataset_path == new_dataset_path
def 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     Union[str, Any]				)			->						List[str]:
       SCREAMING_SNAKE_CASE_							:				Union[str, Any]		=is_remote_filesystem(UpperCAmelCase_				)
       assert is_remote is True

       SCREAMING_SNAKE_CASE_							:				Dict		=fsspec.filesystem('''file'''				)

       SCREAMING_SNAKE_CASE_							:				Optional[int]		=is_remote_filesystem(UpperCAmelCase_				)
       assert is_remote is False
@pytest.mark.parametrize('''compression_fs_class'''			,							UpperCAmelCase_				)
def 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     Union[str, Any]			,							UpperCAmelCase_	:     Any			,							UpperCAmelCase_	:     Optional[Any]			,							UpperCAmelCase_	:     Optional[Any]			,							UpperCAmelCase_	:     int			,							UpperCAmelCase_	:     str			,							UpperCAmelCase_	:     Any				)			->						List[Any]:
       SCREAMING_SNAKE_CASE_							:				str		={'''gzip''': gz_file, '''xz''': xz_file, '''zstd''': zstd_file, '''bz2''': bza_file, '''lz4''': lza_file}
       SCREAMING_SNAKE_CASE_							:				List[Any]		=input_paths[compression_fs_class.protocol]
       if input_path is None:
              SCREAMING_SNAKE_CASE_							:				List[str]		=f'for \'{compression_fs_class.protocol}\' compression protocol, '
              if compression_fs_class.protocol == "lz4":
                     reason += require_lza.kwargs["reason"]
              elif compression_fs_class.protocol == "zstd":
                     reason += require_zstandard.kwargs["reason"]
              pytest.skip(UpperCAmelCase_				)
       SCREAMING_SNAKE_CASE_							:				Union[str, Any]		=fsspec.filesystem(compression_fs_class.protocol			,							fo=UpperCAmelCase_				)
       assert isinstance(UpperCAmelCase_			,							UpperCAmelCase_				)
       SCREAMING_SNAKE_CASE_							:				str		=os.path.basename(UpperCAmelCase_				)
       SCREAMING_SNAKE_CASE_							:				Optional[Any]		=expected_filename[: expected_filename.rindex('''.'''				)]
       assert fs.glob('''*'''				) == [expected_filename]
       with fs.open(UpperCAmelCase_			,							'''r'''			,							encoding='''utf-8'''				) as f, open(UpperCAmelCase_			,							encoding='''utf-8'''				) as expected_file:
              assert f.read() == expected_file.read()
@pytest.mark.parametrize('''protocol'''			,							['''zip''', '''gzip''']				)
def 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     Any			,							UpperCAmelCase_	:     Union[str, Any]			,							UpperCAmelCase_	:     str				)			->						Any:
       SCREAMING_SNAKE_CASE_							:				Tuple		={'''zip''': zip_jsonl_path, '''gzip''': jsonl_gz_path}
       SCREAMING_SNAKE_CASE_							:				List[Any]		=compressed_file_paths[protocol]
       SCREAMING_SNAKE_CASE_							:				str		='''dataset.jsonl'''
       SCREAMING_SNAKE_CASE_							:				Dict		=f'{protocol}://{member_file_path}::{compressed_file_path}'
       SCREAMING_SNAKE_CASE_	,     *SCREAMING_SNAKE_CASE_							:				Dict		=fsspec.get_fs_token_paths(UpperCAmelCase_				)
       assert fs.isfile(UpperCAmelCase_				)
       assert not fs.isfile('''non_existing_''' + member_file_path				)
@pytest.mark.integration
def 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     List[str]			,							UpperCAmelCase_	:     Optional[int]			,							UpperCAmelCase_	:     Optional[int]			,							UpperCAmelCase_	:     int				)			->						int:
       SCREAMING_SNAKE_CASE_							:				Dict		=hf_api.dataset_info(UpperCAmelCase_			,							token=UpperCAmelCase_				)
       SCREAMING_SNAKE_CASE_							:				Optional[int]		=HfFileSystem(repo_info=UpperCAmelCase_			,							token=UpperCAmelCase_				)
       assert sorted(hffs.glob('''*'''				)				) == [".gitattributes", "data"]
       assert hffs.isdir('''data'''				)
       assert hffs.isfile('''.gitattributes'''				) and hffs.isfile('''data/text_data.txt'''				)
       with open(UpperCAmelCase_				) as f:
              assert hffs.open('''data/text_data.txt'''			,							'''r'''				).read() == f.read()

def 							SCREAMING_SNAKE_CASE_	(					)			->						Union[str, Any]:
       SCREAMING_SNAKE_CASE_							:				Tuple		='''bz2'''

       # Import module
       import datasets.filesystems

       # Overwrite protocol and reload
       register_implementation(UpperCAmelCase_			,							UpperCAmelCase_			,							clobber=UpperCAmelCase_				)
       with pytest.warns(UpperCAmelCase_				) as warning_info:
              importlib.reload(datasets.filesystems				)

       assert len(UpperCAmelCase_				) == 1
       assert (
           str(warning_info[0].message				)
           == f'A filesystem protocol was already set for {protocol} and will be overwritten.'
       )
