

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 					lowerCamelCase_     (							UpperCAmelCase_							:     Optional[int]	)						->				int:




	'''simple docstring'''




	assert "mock" in _fsspec_registry
	assert "bz2" in _fsspec_registry






def 					lowerCamelCase_     (							)						->				Optional[int]:




	'''simple docstring'''




	assert "mock" not in _fsspec_registry
	assert "bz2" in _fsspec_registry






def 					lowerCamelCase_     (							)						->				int:




	'''simple docstring'''




	_UpperCamelCase   :		Dict			=						'mock-s3-bucket'
	_UpperCamelCase   :		List[Any]			=						F'''s3://{mock_bucket}'''
	_UpperCamelCase   :		Dict			=						extract_path_from_uri(UpperCAmelCase_	)
	assert dataset_path.startswith('s3://'	) is False

	_UpperCamelCase   :		Optional[Any]			=						'./local/path'
	_UpperCamelCase   :		List[str]			=						extract_path_from_uri(UpperCAmelCase_	)
	assert dataset_path == new_dataset_path






def 					lowerCamelCase_     (							UpperCAmelCase_							:     Tuple	)						->				Optional[int]:




	'''simple docstring'''




	_UpperCamelCase   :		Tuple			=						is_remote_filesystem(UpperCAmelCase_	)
	assert is_remote is True

	_UpperCamelCase   :		Tuple			=						fsspec.filesystem('file'	)

	_UpperCamelCase   :		Tuple			=						is_remote_filesystem(UpperCAmelCase_	)
	assert is_remote is False






@pytest.mark.parametrize('compression_fs_class'							,       UpperCAmelCase_	)
def 					lowerCamelCase_     (							UpperCAmelCase_							:     int							,       UpperCAmelCase_							:     Dict							,       UpperCAmelCase_							:     int							,       UpperCAmelCase_							:     List[str]							,       UpperCAmelCase_							:     str							,       UpperCAmelCase_							:     List[Any]							,       UpperCAmelCase_							:     Optional[Any]	)						->				str:




	'''simple docstring'''




	_UpperCamelCase   :		Dict			=						{'gzip': gz_file, 'xz': xz_file, 'zstd': zstd_file, 'bz2': bza_file, 'lz4': lza_file}
	_UpperCamelCase   :		int			=						input_paths[compression_fs_class.protocol]
	if input_path is None:
		_UpperCamelCase   :		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_	)
	_UpperCamelCase   :		Union[str, Any]			=						fsspec.filesystem(compression_fs_class.protocol							,       fo=UpperCAmelCase_	)
	assert isinstance(UpperCAmelCase_							,       UpperCAmelCase_	)
	_UpperCamelCase   :		List[str]			=						os.path.basename(UpperCAmelCase_	)
	_UpperCamelCase   :		Union[str, 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 					lowerCamelCase_     (							UpperCAmelCase_							:     int							,       UpperCAmelCase_							:     Dict							,       UpperCAmelCase_							:     Optional[Any]	)						->				Optional[Any]:




	'''simple docstring'''




	_UpperCamelCase   :		int			=						{'zip': zip_jsonl_path, 'gzip': jsonl_gz_path}
	_UpperCamelCase   :		Optional[Any]			=						compressed_file_paths[protocol]
	_UpperCamelCase   :		Union[str, Any]			=						'dataset.jsonl'
	_UpperCamelCase   :		Optional[int]			=						F'''{protocol}://{member_file_path}::{compressed_file_path}'''
	_UpperCamelCase	,		*_UpperCamelCase   :		str			=						fsspec.get_fs_token_paths(UpperCAmelCase_	)
	assert fs.isfile(UpperCAmelCase_	)
	assert not fs.isfile('non_existing_' + member_file_path	)






@pytest.mark.integration
def 					lowerCamelCase_     (							UpperCAmelCase_							:     List[Any]							,       UpperCAmelCase_							:     int							,       UpperCAmelCase_							:     Dict							,       UpperCAmelCase_							:     List[str]	)						->				Tuple:




	'''simple docstring'''




	_UpperCamelCase   :		Optional[int]			=						hf_api.dataset_info(UpperCAmelCase_							,       token=UpperCAmelCase_	)
	_UpperCamelCase   :		Any			=						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 					lowerCamelCase_     (							)						->				Dict:




	'''simple docstring'''




	_UpperCamelCase   :		List[Any]			=						'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.'''
	)







from __future__ import annotations

import matplotlib.pyplot as plt  # type: ignore
import numpy

# initial triangle of Koch snowflake
lowerCAmelCase__								=		numpy.array([0, 0])
lowerCAmelCase__								=		numpy.array([0.5, 0.8_66_02_54])
lowerCAmelCase__								=		numpy.array([1, 0])
lowerCAmelCase__								=		[VECTOR_1, VECTOR_2, VECTOR_3, VECTOR_1]






def 					lowerCamelCase_     (							UpperCAmelCase_							:     list[numpy.ndarray]							,       UpperCAmelCase_							:     int	)						->				list[numpy.ndarray]:




	'''simple docstring'''




	_UpperCamelCase   :		Tuple			=						initial_vectors
	for _ in range(UpperCAmelCase_	):
		_UpperCamelCase   :		str			=						iteration_step(UpperCAmelCase_	)
	return vectors






def 					lowerCamelCase_     (							UpperCAmelCase_							:     list[numpy.ndarray]	)						->				list[numpy.ndarray]:




	'''simple docstring'''




	_UpperCamelCase   :		int			=						[]
	for i, start_vector in enumerate(vectors[:-1]	):
		_UpperCamelCase   :		Union[str, Any]			=						vectors[i + 1]
		new_vectors.append(UpperCAmelCase_	)
		_UpperCamelCase   :		Tuple			=						end_vector - start_vector
		new_vectors.append(start_vector + difference_vector / 3	)
		new_vectors.append(
		    start_vector + difference_vector / 3 + rotate(difference_vector / 3							,       6_0	)	)
		new_vectors.append(start_vector + difference_vector * 2 / 3	)
	new_vectors.append(vectors[-1]	)
	return new_vectors






def 					lowerCamelCase_     (							UpperCAmelCase_							:     numpy.ndarray							,       UpperCAmelCase_							:     float	)						->				numpy.ndarray:




	'''simple docstring'''




	_UpperCamelCase   :		str			=						numpy.radians(UpperCAmelCase_	)
	_UpperCamelCase	,		_UpperCamelCase   :		Optional[Any]			=						numpy.cos(UpperCAmelCase_	), numpy.sin(UpperCAmelCase_	)
	_UpperCamelCase   :		Any			=						numpy.array(((c, -s), (s, c))	)
	return numpy.dot(UpperCAmelCase_							,       UpperCAmelCase_	)






def 					lowerCamelCase_     (							UpperCAmelCase_							:     list[numpy.ndarray]	)						->				None:




	'''simple docstring'''




	_UpperCamelCase   :		str			=						plt.gca()
	axes.set_aspect('equal'	)

	# matplotlib.pyplot.plot takes a list of all x-coordinates and a list of all
	# y-coordinates as inputs, which are constructed from the vector-list using
	# zip()
	_UpperCamelCase	,		_UpperCamelCase   :		Dict			=						zip(*UpperCAmelCase_	)
	plt.plot(UpperCAmelCase_							,       UpperCAmelCase_	)
	plt.show()


if __name__ == "__main__":
							import doctest

							doctest.testmod()

							lowerCAmelCase__								=		iterate(INITIAL_VECTORS, 5)
							plot(processed_vectors)




