

'''simple docstring'''





import pickle
import shutil
import tempfile
import unittest

from transformers import SPIECE_UNDERLINE, XGLMTokenizer, XGLMTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


SCREAMING_SNAKE_CASE_        =      get_tests_dir('fixtures/test_sentencepiece.model')

@require_sentencepiece
@require_tokenizers
class 				a  (	UpperCAmelCase							, unittest.TestCase				):
						_lowercase    						=			XGLMTokenizer
						_lowercase    						=			XGLMTokenizerFast
						_lowercase    						=			True
						_lowercase    						=			True


						def        _UpperCAmelCase				(       self	):







										'''simple docstring'''


										super().setUp()

										# We have a SentencePiece fixture for testing
										_UpperCAmelCase       :		Optional[Any] 		=    XGLMTokenizer(A_						,					keep_accents=A_	)
										tokenizer.save_pretrained(self.tmpdirname	)


						def        _UpperCAmelCase				(       self	):







										'''simple docstring'''


										_UpperCAmelCase       :		Optional[int] 		=    "<pad>"
										_UpperCAmelCase       :		Any 		=    1

										self.assertEqual(self.get_tokenizer()._convert_token_to_id(A_	)						,					A_	)
										self.assertEqual(self.get_tokenizer()._convert_id_to_token(A_	)						,					A_	)


						def        _UpperCAmelCase				(       self	):







										'''simple docstring'''


										_UpperCAmelCase       :		Tuple 		=    list(self.get_tokenizer().get_vocab().keys()	)

										self.assertEqual(vocab_keys[0]						,					"<s>"	)
										self.assertEqual(vocab_keys[1]						,					"<pad>"	)
										self.assertEqual(len(A_	)						,					1008	)


						def        _UpperCAmelCase				(       self	):







										'''simple docstring'''


										self.assertEqual(self.get_tokenizer().vocab_size						,					1008	)


						def        _UpperCAmelCase				(       self	):







										'''simple docstring'''


										_UpperCAmelCase       :		Optional[Any] 		=    XGLMTokenizer(A_						,					keep_accents=A_	)

										_UpperCAmelCase       :		Union[str, Any] 		=    tokenizer.tokenize("This is a test"	)
										self.assertListEqual(A_						,					["▁This", "▁is", "▁a", "▁t", "est"]	)

										self.assertListEqual(
										    tokenizer.convert_tokens_to_ids(A_	)						,					[value + tokenizer.fairseq_offset for value in [285, 46, 10, 170, 382]]						,					)

										_UpperCAmelCase       :		Optional[Any] 		=    tokenizer.tokenize("I was born in 92000, and this is falsé."	)
										self.assertListEqual(
										    A_						,					[
										        SPIECE_UNDERLINE + "I",
										        SPIECE_UNDERLINE + "was",
										        SPIECE_UNDERLINE + "b",
										        "or",
										        "n",
										        SPIECE_UNDERLINE + "in",
										        SPIECE_UNDERLINE + "",
										        "9",
										        "2",
										        "0",
										        "0",
										        "0",
										        ",",
										        SPIECE_UNDERLINE + "and",
										        SPIECE_UNDERLINE + "this",
										        SPIECE_UNDERLINE + "is",
										        SPIECE_UNDERLINE + "f",
										        "al",
										        "s",
										        "é",
										        ".",
										    ]						,					)
										_UpperCAmelCase       :		Tuple 		=    tokenizer.convert_tokens_to_ids(A_	)
										self.assertListEqual(
										    A_						,					[
										        value + tokenizer.fairseq_offset
										        for value in [8, 21, 84, 55, 24, 19, 7, 2, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 2, 4]
										    ]						,					)

										_UpperCAmelCase       :		List[Any] 		=    tokenizer.convert_ids_to_tokens(A_	)
										self.assertListEqual(
										    A_						,					[
										        SPIECE_UNDERLINE + "I",
										        SPIECE_UNDERLINE + "was",
										        SPIECE_UNDERLINE + "b",
										        "or",
										        "n",
										        SPIECE_UNDERLINE + "in",
										        SPIECE_UNDERLINE + "",
										        "<unk>",
										        "2",
										        "0",
										        "0",
										        "0",
										        ",",
										        SPIECE_UNDERLINE + "and",
										        SPIECE_UNDERLINE + "this",
										        SPIECE_UNDERLINE + "is",
										        SPIECE_UNDERLINE + "f",
										        "al",
										        "s",
										        "<unk>",
										        ".",
										    ]						,					)


						@cached_property
						def        _UpperCAmelCase				(       self	):







										'''simple docstring'''


										return XGLMTokenizer.from_pretrained("facebook/xglm-564M"	)


						def        _UpperCAmelCase				(       self	):







										'''simple docstring'''


										with tempfile.NamedTemporaryFile() as f:
														shutil.copyfile(A_						,					f.name	)
														_UpperCAmelCase       :		List[str] 		=    XGLMTokenizer(f.name						,					keep_accents=A_	)
														_UpperCAmelCase       :		Any 		=    pickle.dumps(A_	)
										pickle.loads(A_	)


						def        _UpperCAmelCase				(       self	):







										'''simple docstring'''


										if not self.test_rust_tokenizer:
														return

										_UpperCAmelCase       :		Any 		=    self.get_tokenizer()
										_UpperCAmelCase       :		Optional[Any] 		=    self.get_rust_tokenizer()

										_UpperCAmelCase       :		Optional[int] 		=    "I was born in 92000, and this is falsé."

										_UpperCAmelCase       :		Any 		=    tokenizer.tokenize(A_	)
										_UpperCAmelCase       :		Union[str, Any] 		=    rust_tokenizer.tokenize(A_	)
										self.assertListEqual(A_						,					A_	)

										_UpperCAmelCase       :		Tuple 		=    tokenizer.encode(A_						,					add_special_tokens=A_	)
										_UpperCAmelCase       :		Optional[Any] 		=    rust_tokenizer.encode(A_						,					add_special_tokens=A_	)
										self.assertListEqual(A_						,					A_	)

										_UpperCAmelCase       :		str 		=    self.get_rust_tokenizer()
										_UpperCAmelCase       :		str 		=    tokenizer.encode(A_	)
										_UpperCAmelCase       :		Union[str, Any] 		=    rust_tokenizer.encode(A_	)
										self.assertListEqual(A_						,					A_	)


						@slow
						def        _UpperCAmelCase				(       self	):







										'''simple docstring'''


										_UpperCAmelCase       :		List[str] 		=    "Hello World!"
										_UpperCAmelCase       :		str 		=    [2, 31227, 4447, 35]

										self.assertListEqual(A_						,					self.big_tokenizer.encode(A_	)	)


						@slow
						def        _UpperCAmelCase				(       self	):







										'''simple docstring'''


										_UpperCAmelCase       :		Tuple 		=    (
										    "This is a very long text with a lot of weird characters, such as: . , ~ ? ( ) \" [ ] ! : - . Also we will"
										    " add words that should not exsist and be tokenized to unk, such as saoneuhaoesuth"
										)
										# fmt: off
										_UpperCAmelCase       :		Optional[Any] 		=    [2, 1018, 67, 11, 1988, 2617, 5631, 278, 11, 3407, 48, 71630, 28085, 4, 3234, 157, 13, 6, 5, 6, 4, 3526, 768, 15, 659, 57, 298, 3983, 864, 129, 21, 6, 5, 13675, 377, 652, 7580, 10341, 155, 2817, 422, 1666, 7, 1674, 53, 113, 202277, 17892, 33, 60, 87, 4, 3234, 157, 61, 2667, 52376, 19, 88, 23, 735]
										# fmt: on

										self.assertListEqual(A_						,					self.big_tokenizer.encode(A_	)	)





						@slow
						def        _UpperCAmelCase				(       self	):







										'''simple docstring'''


										_UpperCAmelCase       :		Optional[Any] 		=    {
										    "input_ids": [[2, 108825, 1163, 15, 88010, 473, 15898, 157, 13672, 1857, 312, 8, 238021, 1163, 53, 13672, 1857, 312, 8, 53283, 182396, 8, 18566, 16, 36733, 4101, 8, 230, 244017, 122553, 7, 15, 132597, 4, 293, 12511, 7610, 4, 3414, 132597, 9, 4, 32361, 362, 4, 734, 28512, 32569, 18, 4, 32361, 26096, 14982, 73, 18715, 21433, 235261, 15, 492, 12427, 16, 53, 18715, 21433, 65454, 15, 23659, 563, 16, 278, 597, 2843, 595, 7931, 182396, 64186, 22, 886, 595, 132981, 53, 25540, 3449, 43982, 39901, 5951, 878, 330, 4, 27694, 80269, 312, 53, 6517, 11780, 611, 20408, 5], [2, 6, 132597, 67, 42897, 33, 592, 8, 163729, 25540, 361, 136997, 109514, 173230, 7, 501, 60, 102913, 196, 5631, 235, 63243, 473, 6, 231757, 74, 5277, 7905, 53, 3095, 37317, 22, 454, 183874, 5], [2, 268, 31298, 46530, 6, 132935, 43831, 7, 597, 32, 24, 3688, 9865, 5]],
										    "attention_mask": [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]
										}  # noqa: E501
										# fmt: on

										self.tokenizer_integration_test_util(
										    expected_encoding=A_						,					model_name="facebook/xglm-564M"						,					padding=A_						,					)





import fire

from utils import calculate_rouge, save_json

def 							__SCREAMING_SNAKE_CASE							(				lowerCAmelCase:  int  ,      lowerCAmelCase:  Tuple  ,      lowerCAmelCase:  Any=None  ,      **lowerCAmelCase:  Any )   ->       Dict:
				_UpperCAmelCase       :		Optional[Any] 		=    [x.strip() for x in open(lowerCAmelCase ).readlines()]
				_UpperCAmelCase       :		str 		=    [x.strip() for x in open(lowerCAmelCase ).readlines()][: len(lowerCAmelCase )]
				_UpperCAmelCase       :		str 		=    calculate_rouge(lowerCAmelCase  ,      lowerCAmelCase  ,      **lowerCAmelCase )
				if save_path is not None:
								save_json(lowerCAmelCase  ,      lowerCAmelCase  ,      indent=lowerCAmelCase )
				return metrics  # these print nicely


if __name__ == "__main__":
					fire.Fire(calculate_rouge_path)


