import json
import os
from pathlib import Path

import pytest

from datasets.download.download_config import DownloadConfig
from datasets.download.download_manager import DownloadManager
from datasets.utils.file_utils import hash_url_to_filename


__lowercase							 =					'''http://www.mocksite.com/file1.txt'''
__lowercase							 =					'''"text": ["foo", "foo"]'''
__lowercase							 =					'''6d8ce9aa78a471c7477201efbeabd3bb01ac2e7d100a6dc024ba1608361f90a8'''


class 	lowerCamelCase_     :






    '''simple docstring'''






    a__	:						Optional[Any]						=      2_0_0
    a__	:						Union[str, Any]						=      {"""Content-Length""": """100"""}
    a__	:						Tuple						=      {}







    def 			UpperCamelCase__   (	self , **__lowercase)       ->	Dict:
        return [bytes(__lowercase , '''utf-8''')]



def lowerCamelCase  (   *SCREAMING_SNAKE_CASE  ,			**SCREAMING_SNAKE_CASE	):
    '''simple docstring'''







    return MockResponse()



@pytest.mark.parametrize('''urls_type'''  ,			[str, list, dict]	)
def lowerCamelCase  (   SCREAMING_SNAKE_CASE  ,			SCREAMING_SNAKE_CASE  ,			SCREAMING_SNAKE_CASE	):
    '''simple docstring'''







    import requests

    monkeypatch.setattr(SCREAMING_SNAKE_CASE  ,			'''request'''  ,			SCREAMING_SNAKE_CASE	)

    __UpperCamelCase     :Union[str, Any]			  =		URL
    if issubclass(SCREAMING_SNAKE_CASE  ,			SCREAMING_SNAKE_CASE	):
        __UpperCamelCase     :Tuple			  =		url
    elif issubclass(SCREAMING_SNAKE_CASE  ,			SCREAMING_SNAKE_CASE	):
        __UpperCamelCase     :Dict			  =		[url]
    elif issubclass(SCREAMING_SNAKE_CASE  ,			SCREAMING_SNAKE_CASE	):
        __UpperCamelCase     :Dict			  =		{'''train''': url}
    __UpperCamelCase     :Tuple			  =		'''dummy'''
    __UpperCamelCase     :Optional[Any]			  =		'''downloads'''
    __UpperCamelCase     :Any			  =		tmp_path
    __UpperCamelCase     :Tuple			  =		DownloadConfig(
        cache_dir=os.path.join(SCREAMING_SNAKE_CASE  ,			SCREAMING_SNAKE_CASE	)  ,			use_etag=SCREAMING_SNAKE_CASE  ,			)
    __UpperCamelCase     :Union[str, Any]			  =		DownloadManager(dataset_name=SCREAMING_SNAKE_CASE  ,			download_config=SCREAMING_SNAKE_CASE	)
    __UpperCamelCase     :Optional[Any]			  =		dl_manager.download(SCREAMING_SNAKE_CASE	)
    __UpperCamelCase     :int			  =		urls
    for downloaded_paths in [downloaded_paths]:
        if isinstance(SCREAMING_SNAKE_CASE  ,			SCREAMING_SNAKE_CASE	):
            __UpperCamelCase     :Union[str, Any]			  =		[downloaded_paths]
            __UpperCamelCase     :Tuple			  =		[urls]
        elif isinstance(SCREAMING_SNAKE_CASE  ,			SCREAMING_SNAKE_CASE	):
            assert "train" in downloaded_paths.keys()
            __UpperCamelCase     :Tuple			  =		downloaded_paths.values()
            __UpperCamelCase     :int			  =		urls.values()
        assert downloaded_paths
        for downloaded_path, input_url in zip(SCREAMING_SNAKE_CASE  ,			SCREAMING_SNAKE_CASE	):
            assert downloaded_path == dl_manager.downloaded_paths[input_url]
            __UpperCamelCase     :Optional[int]			  =		Path(SCREAMING_SNAKE_CASE	)
            __UpperCamelCase     :Tuple			  =		downloaded_path.parts
            assert parts[-1] == HASH
            assert parts[-2] == cache_subdir
            assert downloaded_path.exists()
            __UpperCamelCase     :Optional[int]			  =		downloaded_path.read_text()
            assert content == CONTENT
            __UpperCamelCase     :List[str]			  =		downloaded_path.with_suffix('''.json'''	)
            assert metadata_downloaded_path.exists()
            __UpperCamelCase     :List[Any]			  =		json.loads(metadata_downloaded_path.read_text()	)
            assert metadata_content == {"url": URL, "etag": None}



@pytest.mark.parametrize('''paths_type'''  ,			[str, list, dict]	)
def lowerCamelCase  (   SCREAMING_SNAKE_CASE  ,			SCREAMING_SNAKE_CASE  ,			SCREAMING_SNAKE_CASE	):
    '''simple docstring'''







    __UpperCamelCase     :Dict			  =		str(SCREAMING_SNAKE_CASE	)
    if issubclass(SCREAMING_SNAKE_CASE  ,			SCREAMING_SNAKE_CASE	):
        __UpperCamelCase     :Optional[Any]			  =		filename
    elif issubclass(SCREAMING_SNAKE_CASE  ,			SCREAMING_SNAKE_CASE	):
        __UpperCamelCase     :Optional[Any]			  =		[filename]
    elif issubclass(SCREAMING_SNAKE_CASE  ,			SCREAMING_SNAKE_CASE	):
        __UpperCamelCase     :int			  =		{'''train''': filename}
    __UpperCamelCase     :Any			  =		'''dummy'''
    __UpperCamelCase     :Dict			  =		xz_file.parent
    __UpperCamelCase     :str			  =		'''extracted'''
    __UpperCamelCase     :str			  =		DownloadConfig(
        cache_dir=SCREAMING_SNAKE_CASE  ,			use_etag=SCREAMING_SNAKE_CASE  ,			)
    __UpperCamelCase     :int			  =		DownloadManager(dataset_name=SCREAMING_SNAKE_CASE  ,			download_config=SCREAMING_SNAKE_CASE	)
    __UpperCamelCase     :int			  =		dl_manager.extract(SCREAMING_SNAKE_CASE	)
    __UpperCamelCase     :Union[str, Any]			  =		paths
    for extracted_paths in [extracted_paths]:
        if isinstance(SCREAMING_SNAKE_CASE  ,			SCREAMING_SNAKE_CASE	):
            __UpperCamelCase     :Optional[int]			  =		[extracted_paths]
            __UpperCamelCase     :Tuple			  =		[paths]
        elif isinstance(SCREAMING_SNAKE_CASE  ,			SCREAMING_SNAKE_CASE	):
            assert "train" in extracted_paths.keys()
            __UpperCamelCase     :Optional[int]			  =		extracted_paths.values()
            __UpperCamelCase     :Dict			  =		paths.values()
        assert extracted_paths
        for extracted_path, input_path in zip(SCREAMING_SNAKE_CASE  ,			SCREAMING_SNAKE_CASE	):
            assert extracted_path == dl_manager.extracted_paths[input_path]
            __UpperCamelCase     :Union[str, Any]			  =		Path(SCREAMING_SNAKE_CASE	)
            __UpperCamelCase     :Any			  =		extracted_path.parts
            assert parts[-1] == hash_url_to_filename(SCREAMING_SNAKE_CASE  ,			etag=SCREAMING_SNAKE_CASE	)
            assert parts[-2] == extracted_subdir
            assert extracted_path.exists()
            __UpperCamelCase     :int			  =		extracted_path.read_text()
            __UpperCamelCase     :List[Any]			  =		text_file.read_text()
            assert extracted_file_content == expected_file_content



def lowerCamelCase  (   SCREAMING_SNAKE_CASE  ,			SCREAMING_SNAKE_CASE	):
    '''simple docstring'''







    assert path.endswith('''.jsonl'''	)
    for num_items, line in enumerate(SCREAMING_SNAKE_CASE  ,			start=1	):
        __UpperCamelCase     :Tuple			  =		json.loads(line.decode('''utf-8'''	)	)
        assert item.keys() == {"col_1", "col_2", "col_3"}
    assert num_items == 4



@pytest.mark.parametrize('''archive_jsonl'''  ,			['''tar_jsonl_path''', '''zip_jsonl_path''']	)
def lowerCamelCase  (   SCREAMING_SNAKE_CASE  ,			SCREAMING_SNAKE_CASE	):
    '''simple docstring'''







    __UpperCamelCase     :Dict			  =		request.getfixturevalue(SCREAMING_SNAKE_CASE	)
    __UpperCamelCase     :Optional[int]			  =		DownloadManager()
    for num_jsonl, (path, file) in enumerate(dl_manager.iter_archive(SCREAMING_SNAKE_CASE	)  ,			start=1	):
        _test_jsonl(SCREAMING_SNAKE_CASE  ,			SCREAMING_SNAKE_CASE	)
    assert num_jsonl == 2



@pytest.mark.parametrize('''archive_nested_jsonl'''  ,			['''tar_nested_jsonl_path''', '''zip_nested_jsonl_path''']	)
def lowerCamelCase  (   SCREAMING_SNAKE_CASE  ,			SCREAMING_SNAKE_CASE	):
    '''simple docstring'''







    __UpperCamelCase     :Dict			  =		request.getfixturevalue(SCREAMING_SNAKE_CASE	)
    __UpperCamelCase     :int			  =		DownloadManager()
    for num_tar, (path, file) in enumerate(dl_manager.iter_archive(SCREAMING_SNAKE_CASE	)  ,			start=1	):
        for num_jsonl, (subpath, subfile) in enumerate(dl_manager.iter_archive(SCREAMING_SNAKE_CASE	)  ,			start=1	):
            _test_jsonl(SCREAMING_SNAKE_CASE  ,			SCREAMING_SNAKE_CASE	)
    assert num_tar == 1
    assert num_jsonl == 2



def lowerCamelCase  (   SCREAMING_SNAKE_CASE	):
    '''simple docstring'''







    __UpperCamelCase     :Union[str, Any]			  =		DownloadManager()
    for num_file, file in enumerate(dl_manager.iter_files(SCREAMING_SNAKE_CASE	)  ,			start=1	):
        assert os.path.basename(SCREAMING_SNAKE_CASE	) == ("test.txt" if num_file == 1 else "train.txt")
    assert num_file == 2






import numpy as np



def lowerCamelCase  (   SCREAMING_SNAKE_CASE  ,			SCREAMING_SNAKE_CASE  ,			SCREAMING_SNAKE_CASE = 1e-12  ,			SCREAMING_SNAKE_CASE = 100  ,			):
    '''simple docstring'''







    assert np.shape(SCREAMING_SNAKE_CASE	)[0] == np.shape(SCREAMING_SNAKE_CASE	)[1]
    # Ensure proper dimensionality.
    assert np.shape(SCREAMING_SNAKE_CASE	)[0] == np.shape(SCREAMING_SNAKE_CASE	)[0]
    # Ensure inputs are either both complex or both real
    assert np.iscomplexobj(SCREAMING_SNAKE_CASE	) == np.iscomplexobj(SCREAMING_SNAKE_CASE	)
    __UpperCamelCase     :List[Any]			  =		np.iscomplexobj(SCREAMING_SNAKE_CASE	)
    if is_complex:
        # Ensure complex input_matrix is Hermitian
        assert np.array_equal(SCREAMING_SNAKE_CASE  ,			input_matrix.conj().T	)

    # Set convergence to False. Will define convergence when we exceed max_iterations
    # or when we have small changes from one iteration to next.

    __UpperCamelCase     :str			  =		False
    __UpperCamelCase     :int			  =		0
    __UpperCamelCase     :Optional[Any]			  =		0
    __UpperCamelCase     :Union[str, Any]			  =		1e12

    while not convergence:
        # Multiple matrix by the vector.
        __UpperCamelCase     :List[str]			  =		np.dot(SCREAMING_SNAKE_CASE  ,			SCREAMING_SNAKE_CASE	)
        # Normalize the resulting output vector.
        __UpperCamelCase     :Tuple			  =		w / np.linalg.norm(SCREAMING_SNAKE_CASE	)
        # Find rayleigh quotient
        # (faster than usual b/c we know vector is normalized already)
        __UpperCamelCase     :int			  =		vector.conj().T if is_complex else vector.T
        __UpperCamelCase     :Optional[int]			  =		np.dot(SCREAMING_SNAKE_CASE  ,			np.dot(SCREAMING_SNAKE_CASE  ,			SCREAMING_SNAKE_CASE	)	)

        # Check convergence.
        __UpperCamelCase     :Optional[Any]			  =		np.abs(lambda_ - lambda_previous	) / lambda_
        iterations += 1

        if error <= error_tol or iterations >= max_iterations:
            __UpperCamelCase     :Dict			  =		True

        __UpperCamelCase     :List[Any]			  =		lambda_

    if is_complex:
        __UpperCamelCase     :Tuple			  =		np.real(lambda_	)

    return lambda_, vector



def lowerCamelCase  (   ):
    '''simple docstring'''







    __UpperCamelCase     :int			  =		np.array([[41, 4, 20], [4, 26, 30], [20, 30, 50]]	)
    __UpperCamelCase     :Optional[Any]			  =		np.array([41, 4, 20]	)
    __UpperCamelCase     :Any			  =		real_input_matrix.astype(np.complexaaa	)
    __UpperCamelCase     :Dict			  =		np.triu(1j * complex_input_matrix  ,			1	)
    complex_input_matrix += imag_matrix
    complex_input_matrix += -1 * imag_matrix.T
    __UpperCamelCase     :Optional[int]			  =		np.array([41, 4, 20]	).astype(np.complexaaa	)

    for problem_type in ["real", "complex"]:
        if problem_type == "real":
            __UpperCamelCase     :Any			  =		real_input_matrix
            __UpperCamelCase     :int			  =		real_vector
        elif problem_type == "complex":
            __UpperCamelCase     :Tuple			  =		complex_input_matrix
            __UpperCamelCase     :Optional[Any]			  =		complex_vector

        # Our implementation.
        __UpperCamelCase  ,       __UpperCamelCase     :Dict			  =		power_iteration(SCREAMING_SNAKE_CASE  ,			SCREAMING_SNAKE_CASE	)

        # Numpy implementation.

        # Get eigenvalues and eigenvectors using built-in numpy
        # eigh (eigh used for symmetric or hermetian matrices).
        __UpperCamelCase  ,       __UpperCamelCase     :List[Any]			  =		np.linalg.eigh(SCREAMING_SNAKE_CASE	)
        # Last eigenvalue is the maximum one.
        __UpperCamelCase     :List[Any]			  =		eigen_values[-1]
        # Last column in this matrix is eigenvector corresponding to largest eigenvalue.
        __UpperCamelCase     :str			  =		eigen_vectors[:, -1]

        # Check our implementation and numpy gives close answers.
        assert np.abs(eigen_value - eigen_value_max	) <= 1e-6
        # Take absolute values element wise of each eigenvector.
        # as they are only unique to a minus sign.
        assert np.linalg.norm(np.abs(SCREAMING_SNAKE_CASE	) - np.abs(SCREAMING_SNAKE_CASE	)	) <= 1e-6


if __name__ == "__main__":
    import doctest

    doctest.testmod()
    test_power_iteration()





