





from __future__ import annotations

from typing import TypedDict






class       __A					(					_UpperCAmelCase				):

			'''simple docstring'''







			lowerCAmelCase_							  =		42
			lowerCAmelCase_							  =		42





def lowerCAmelCase__(__snake_case							)       ->   Optional[Any]:







	'''simple docstring'''







	if not isinstance(__snake_case ,__snake_case							):
		raise TypeError('''The parameter s type must be str.'''							)

	return [s[i:] + s[:i] for i in range(len(__snake_case							)							)]





def lowerCAmelCase__(__snake_case							)       ->   Union[str, Any]:







	'''simple docstring'''







	if not isinstance(__snake_case ,__snake_case							):
		raise TypeError('''The parameter s type must be str.'''							)
	if not s:
		raise ValueError('''The parameter s must not be empty.'''							)

	lowerCamelCase__              =	all_rotations(__snake_case							)
	rotations.sort()  # sort the list of rotations in alphabetically order
	# make a string composed of the last char of each rotation
	lowerCamelCase__              =	{
	    '''bwt_string''': ''''''.join([word[-1] for word in rotations]							),
	    '''idx_original_string''': rotations.index(__snake_case							),
	}
	return response





def lowerCAmelCase__(__snake_case ,__snake_case							)       ->   Tuple:







	'''simple docstring'''







	if not isinstance(__snake_case ,__snake_case							):
		raise TypeError('''The parameter bwt_string type must be str.'''							)
	if not bwt_string:
		raise ValueError('''The parameter bwt_string must not be empty.'''							)
	try:
		lowerCamelCase__              =	int(__snake_case							)
	except ValueError:
		raise TypeError(
		    '''The parameter idx_original_string type must be int or passive'''
		    ''' of cast to int.'''							)
	if idx_original_string < 0:
		raise ValueError('''The parameter idx_original_string must not be lower than 0.'''							)
	if idx_original_string >= len(__snake_case							):
		raise ValueError(
		    '''The parameter idx_original_string must be lower than''' ''' len(bwt_string).'''							)

	lowerCamelCase__              =	[''''''] * len(__snake_case							)
	for _ in range(len(__snake_case							)							):
		for i in range(len(__snake_case							)							):
			lowerCamelCase__              =	bwt_string[i] + ordered_rotations[i]
		ordered_rotations.sort()
	return ordered_rotations[idx_original_string]


if __name__ == "__main__":
				_a						=   "Provide a string that I will generate its BWT transform: "
				_a						=   input(entry_msg).strip()
				_a						=   bwt_transform(s)
				print(
				    f"""Burrows Wheeler transform for string '{s}' results """
				    f"""in '{result['bwt_string']}'"""
				)
				_a						=   reverse_bwt(result["bwt_string"], result["idx_original_string"])
				print(
				    f"""Reversing Burrows Wheeler transform for entry '{result['bwt_string']}' """
				    f"""we get original string '{original_string}'"""
				)










import os
from collections import namedtuple

import pytest

from datasets import ClassLabel, Features, Sequence, Value
from datasets.commands.test import TestCommand
from datasets.info import DatasetInfo, DatasetInfosDict


_a						=   namedtuple(
    "_TestCommandArgs",
    [
        "dataset",
        "name",
        "cache_dir",
        "data_dir",
        "all_configs",
        "save_infos",
        "ignore_verifications",
        "force_redownload",
        "clear_cache",
    ],
    defaults=[None, None, None, False, False, False, False, False],
)





def lowerCAmelCase__(__snake_case ,__snake_case							)       ->   List[str]:







	'''simple docstring'''







	return (abs(source - target							) / target) < 0.0_1





@pytest.mark.integration
def lowerCAmelCase__(__snake_case							)       ->   Tuple:







	'''simple docstring'''







	lowerCamelCase__              =	_TestCommandArgs(dataset=__snake_case ,all_configs=__snake_case ,save_infos=__snake_case							)
	lowerCamelCase__              =	TestCommand(*__snake_case							)
	test_command.run()
	lowerCamelCase__              =	os.path.join(__snake_case ,'''README.md'''							)
	assert os.path.exists(__snake_case							)
	lowerCamelCase__              =	DatasetInfosDict.from_directory(__snake_case							)
	lowerCamelCase__              =	DatasetInfosDict(
	    {
	        '''default''': DatasetInfo(
	            features=Features(
	                {
	                    '''tokens''': Sequence(Value('''string'''							)							),
	                    '''ner_tags''': Sequence(
	                        ClassLabel(names=['''O''', '''B-PER''', '''I-PER''', '''B-ORG''', '''I-ORG''', '''B-LOC''', '''I-LOC''']							)							),
	                    '''langs''': Sequence(Value('''string'''							)							),
	                    '''spans''': Sequence(Value('''string'''							)							),
	                }							) ,splits=[
	                {
	                    '''name''': '''train''',
	                    '''num_bytes''': 2351563,
	                    '''num_examples''': 10000,
	                },
	                {
	                    '''name''': '''validation''',
	                    '''num_bytes''': 238418,
	                    '''num_examples''': 1000,
	                },
	            ] ,download_size=3940680 ,dataset_size=2589981 ,)
	    }							)
	assert dataset_infos.keys() == expected_dataset_infos.keys()
	for key in DatasetInfo._INCLUDED_INFO_IN_YAML:
		lowerCamelCase__       ,			lowerCamelCase__              =	getattr(dataset_infos['''default'''] ,__snake_case							), getattr(expected_dataset_infos['''default'''] ,__snake_case							)
		if key == "num_bytes":
			assert is_apercent_close(__snake_case ,__snake_case							)
		elif key == "splits":
			assert list(__snake_case							) == list(__snake_case							)
			for split in result:
				assert result[split].name == expected[split].name
				assert result[split].num_examples == expected[split].num_examples
				assert is_apercent_close(result[split].num_bytes ,expected[split].num_bytes							)
		else:
			result == expected



