

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


lowerCAmelCase__	   = 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__							(	SCREAMING_SNAKE_CASE_:							Optional[Any]	,       SCREAMING_SNAKE_CASE_:							Any      )			->      List[Any]:




				'''simple docstring'''





				return (abs(source - target      ) / target) < 0.01





@pytest.mark.integration
def 					lowerCAmelCase__							(	SCREAMING_SNAKE_CASE_:							List[Any]      )			->      Optional[int]:




				'''simple docstring'''





				A__        =			_TestCommandArgs(dataset=SCREAMING_SNAKE_CASE_	,       all_configs=SCREAMING_SNAKE_CASE_	,       save_infos=SCREAMING_SNAKE_CASE_      )
				A__        =			TestCommand(*SCREAMING_SNAKE_CASE_      )
				test_command.run()
				A__        =			os.path.join(SCREAMING_SNAKE_CASE_	,       "README.md"      )
				assert os.path.exists(SCREAMING_SNAKE_CASE_      )
				A__        =			DatasetInfosDict.from_directory(SCREAMING_SNAKE_CASE_      )
				A__        =			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": 2_3_5_1_5_6_3,
				                    "num_examples": 1_0_0_0_0,
				                },
				                {
				                    "name": "validation",
				                    "num_bytes": 2_3_8_4_1_8,
				                    "num_examples": 1_0_0_0,
				                },
				            ]	,       download_size=3_9_4_0_6_8_0	,       dataset_size=2_5_8_9_9_8_1	,       )
				    }      )
				assert dataset_infos.keys() == expected_dataset_infos.keys()
				for key in DatasetInfo._INCLUDED_INFO_IN_YAML:
								A__    ,				A__        =			getattr(dataset_infos["default"]	,       SCREAMING_SNAKE_CASE_      ), getattr(expected_dataset_infos["default"]	,       SCREAMING_SNAKE_CASE_      )
								if key == "num_bytes":
												assert is_apercent_close(SCREAMING_SNAKE_CASE_	,       SCREAMING_SNAKE_CASE_      )
								elif key == "splits":
												assert list(SCREAMING_SNAKE_CASE_      ) == list(SCREAMING_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




from __future__ import annotations



def 					lowerCAmelCase__							(	SCREAMING_SNAKE_CASE_:							str	,       SCREAMING_SNAKE_CASE_:							list[str] | None = None      )			->      list[list[str]]:




				'''simple docstring'''





				A__        =			word_bank or []
				# create a table
				A__        =			len(SCREAMING_SNAKE_CASE_      ) + 1

				A__        =			[]
				for _ in range(SCREAMING_SNAKE_CASE_      ):
								table.append([]      )
				# seed value
				A__        =			[[]]  # because empty string has empty combination

				# iterate through the indices
				for i in range(SCREAMING_SNAKE_CASE_      ):
								# condition
								if table[i] != []:
												for word in word_bank:
																# slice condition
																if target[i : i + len(SCREAMING_SNAKE_CASE_      )] == word:
																				A__        =			[
																				    [word, *way] for way in table[i]
																				]
																				# adds the word to every combination the current position holds
																				# now,push that combination to the table[i+len(word)]
																				table[i + len(SCREAMING_SNAKE_CASE_      )] += new_combinations

    # combinations are in reverse order so reverse for better output
				for combination in table[len(SCREAMING_SNAKE_CASE_      )]:
								combination.reverse()

				return table[len(SCREAMING_SNAKE_CASE_      )]


if __name__ == "__main__":
	print(all_construct("""jwajalapa""", ["""jwa""", """j""", """w""", """a""", """la""", """lapa"""]))
	print(all_construct("""rajamati""", ["""s""", """raj""", """amat""", """raja""", """ma""", """i""", """t"""]))
	print(
	    all_construct(
	        """hexagonosaurus""",
	        ["""h""", """ex""", """hex""", """ag""", """ago""", """ru""", """auru""", """rus""", """go""", """no""", """o""", """s"""],
	    )
	)

