





"""simple docstring"""





import fire

from utils import calculate_rouge, save_json
def 					__A  (_SCREAMING_SNAKE_CASE	,  _SCREAMING_SNAKE_CASE	,  _SCREAMING_SNAKE_CASE=None	,  **_SCREAMING_SNAKE_CASE     )   ->Any:





  """simple docstring"""


  lowerCAmelCase__     :Any											=				[x.strip() for x in open(_SCREAMING_SNAKE_CASE     ).readlines()]
  lowerCAmelCase__     :Any											=				[x.strip() for x in open(_SCREAMING_SNAKE_CASE     ).readlines()][: len(_SCREAMING_SNAKE_CASE     )]
  lowerCAmelCase__     :Tuple											=				calculate_rouge(_SCREAMING_SNAKE_CASE	,  _SCREAMING_SNAKE_CASE	,  **_SCREAMING_SNAKE_CASE     )
  if save_path is not None:
    save_json(_SCREAMING_SNAKE_CASE	,  _SCREAMING_SNAKE_CASE	,  indent=_SCREAMING_SNAKE_CASE     )
  return metrics  # these print nicely


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





"""simple docstring"""







import itertools
import json
import os
import unittest

from transformers import AddedToken, RobertaTokenizer, RobertaTokenizerFast
from transformers.models.roberta.tokenization_roberta import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin

@require_tokenizers
class       _a  ( SCREAMING_SNAKE_CASE__     ,	unittest.TestCase):
			__magic_name__     					=     RobertaTokenizer
			__magic_name__     					=     RobertaTokenizerFast
			__magic_name__     					=     True
			__magic_name__     					=     {"""cls_token""": """<s>"""}



			def 				__lowercase					(			self							:				Any		)							->					int:
									super().setUp()

									# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
									snake_case   :			int						    = [
									    "l",
									    "o",
									    "w",
									    "e",
									    "r",
									    "s",
									    "t",
									    "i",
									    "d",
									    "n",
									    "\u0120",
									    "\u0120l",
									    "\u0120n",
									    "\u0120lo",
									    "\u0120low",
									    "er",
									    "\u0120lowest",
									    "\u0120newer",
									    "\u0120wider",
									    "<unk>",
									]
									snake_case   :			Optional[int]						    = dict(zip(_lowercase   ,	range(len(_lowercase		)		)		)		)
									snake_case   :			int						    = ["#version: 0.2", "\u0120 l", "\u0120l o", "\u0120lo w", "e r", ""]
									snake_case   :			Union[str, Any]						    = {"unk_token": "<unk>"}

									snake_case   :			Optional[Any]						    = os.path.join(self.tmpdirname   ,	VOCAB_FILES_NAMES["vocab_file"]		)
									snake_case   :			str						    = os.path.join(self.tmpdirname   ,	VOCAB_FILES_NAMES["merges_file"]		)
									with open(self.vocab_file   ,	"w"   ,	encoding="utf-8"		) as fp:
															fp.write(json.dumps(_lowercase		) + "\n"		)
									with open(self.merges_file   ,	"w"   ,	encoding="utf-8"		) as fp:
															fp.write("\n".join(_lowercase		)		)



			def 				__lowercase					(			self							:				Optional[Any]   ,	**_lowercase							:				Union[str, Any]		)							->					Dict:
									kwargs.update(self.special_tokens_map		)
									return self.tokenizer_class.from_pretrained(self.tmpdirname   ,	**_lowercase		)



			def 				__lowercase					(			self							:				List[str]   ,	**_lowercase							:				Union[str, Any]		)							->					str:
									kwargs.update(self.special_tokens_map		)
									return RobertaTokenizerFast.from_pretrained(self.tmpdirname   ,	**_lowercase		)



			def 				__lowercase					(			self							:				Union[str, Any]   ,	_lowercase							:				str		)							->					Optional[Any]:
									snake_case   :			Any						    = "lower newer"
									snake_case   :			Union[str, Any]						    = "lower newer"
									return input_text, output_text



			def 				__lowercase					(			self							:				Optional[int]		)							->					Any:
									snake_case   :			Any						    = self.tokenizer_class(self.vocab_file   ,	self.merges_file   ,	**self.special_tokens_map		)
									snake_case   :			Dict						    = "lower newer"
									snake_case   :			Dict						    = ["l", "o", "w", "er", "\u0120", "n", "e", "w", "er"]
									snake_case   :			Any						    = tokenizer.tokenize(_lowercase		)  # , add_prefix_space=True)
									self.assertListEqual(_lowercase   ,	_lowercase		)

									snake_case   :			List[str]						    = tokens + [tokenizer.unk_token]
									snake_case   :			List[Any]						    = [0, 1, 2, 15, 10, 9, 3, 2, 15, 19]
									self.assertListEqual(tokenizer.convert_tokens_to_ids(_lowercase		)   ,	_lowercase		)



			def 				__lowercase					(			self							:				int		)							->					str:
									snake_case   :			List[str]						    = self.get_tokenizer()

									self.assertListEqual(tokenizer.encode("Hello world!"   ,	add_special_tokens=_lowercase		)   ,	[0, 31414, 232, 328, 2]		)
									self.assertListEqual(
									    tokenizer.encode("Hello world! cécé herlolip 418"   ,	add_special_tokens=_lowercase		)   ,	[0, 31414, 232, 328, 740, 1140, 12695, 69, 46078, 1588, 2]   ,	)



			@slow
			def 				__lowercase					(			self							:				Dict		)							->					Optional[int]:
									snake_case   :			Tuple						    = self.tokenizer_class.from_pretrained("roberta-base"		)

									snake_case   :			Tuple						    = tokenizer.encode("sequence builders"   ,	add_special_tokens=_lowercase		)
									snake_case   :			Optional[int]						    = tokenizer.encode("multi-sequence build"   ,	add_special_tokens=_lowercase		)

									snake_case   :			Optional[Any]						    = tokenizer.encode(
									    "sequence builders"   ,	add_special_tokens=_lowercase   ,	add_prefix_space=_lowercase		)
									snake_case   :			Optional[int]						    = tokenizer.encode(
									    "sequence builders"   ,	"multi-sequence build"   ,	add_special_tokens=_lowercase   ,	add_prefix_space=_lowercase		)

									snake_case   :			Optional[Any]						    = tokenizer.build_inputs_with_special_tokens(_lowercase		)
									snake_case   :			Any						    = tokenizer.build_inputs_with_special_tokens(_lowercase   ,	_lowercase		)

									assert encoded_sentence == encoded_text_from_decode
									assert encoded_pair == encoded_pair_from_decode



			def 				__lowercase					(			self							:				int		)							->					Any:
									snake_case   :			Any						    = self.get_tokenizer()

									snake_case   :			Optional[Any]						    = "Encode this sequence."
									snake_case   :			List[Any]						    = tokenizer.byte_encoder[" ".encode("utf-8"		)[0]]

									# Testing encoder arguments
									snake_case   :			Any						    = tokenizer.encode(_lowercase   ,	add_special_tokens=_lowercase   ,	add_prefix_space=_lowercase		)
									snake_case   :			Any						    = tokenizer.convert_ids_to_tokens(encoded[0]		)[0]
									self.assertNotEqual(_lowercase   ,	_lowercase		)

									snake_case   :			Dict						    = tokenizer.encode(_lowercase   ,	add_special_tokens=_lowercase   ,	add_prefix_space=_lowercase		)
									snake_case   :			Any						    = tokenizer.convert_ids_to_tokens(encoded[0]		)[0]
									self.assertEqual(_lowercase   ,	_lowercase		)

									tokenizer.add_special_tokens({"bos_token": "<s>"}		)
									snake_case   :			Union[str, Any]						    = tokenizer.encode(_lowercase   ,	add_special_tokens=_lowercase		)
									snake_case   :			List[str]						    = tokenizer.convert_ids_to_tokens(encoded[1]		)[0]
									self.assertNotEqual(_lowercase   ,	_lowercase		)

									# Testing spaces after special tokens
									snake_case   :			Optional[int]						    = "<mask>"
									tokenizer.add_special_tokens(
									    {"mask_token": AddedToken(_lowercase   ,	lstrip=_lowercase   ,	rstrip=_lowercase		)}		)  # mask token has a left space
									snake_case   :			Optional[int]						    = tokenizer.convert_tokens_to_ids(_lowercase		)

									snake_case   :			Tuple						    = "Encode <mask> sequence"
									snake_case   :			Union[str, Any]						    = "Encode <mask>sequence"

									snake_case   :			Union[str, Any]						    = tokenizer.encode(_lowercase		)
									snake_case   :			Optional[int]						    = encoded.index(_lowercase		)
									snake_case   :			int						    = tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]		)[0]
									self.assertEqual(_lowercase   ,	_lowercase		)

									snake_case   :			int						    = tokenizer.encode(_lowercase		)
									snake_case   :			Optional[int]						    = encoded.index(_lowercase		)
									snake_case   :			List[Any]						    = tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]		)[0]
									self.assertNotEqual(_lowercase   ,	_lowercase		)



			def 				__lowercase					(			self							:				Dict		)							->					Union[str, Any]:
									pass



			def 				__lowercase					(			self							:				List[str]		)							->					str:
									for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
															with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''		):
																					snake_case   :			List[Any]						    = self.rust_tokenizer_class.from_pretrained(_lowercase   ,	**_lowercase		)
																					snake_case   :			Optional[int]						    = self.tokenizer_class.from_pretrained(_lowercase   ,	**_lowercase		)
																					snake_case   :			Optional[int]						    = "A, <mask> AllenNLP sentence."
																					snake_case   :			Tuple						    = tokenizer_r.encode_plus(_lowercase   ,	add_special_tokens=_lowercase   ,	return_token_type_ids=_lowercase		)
																					snake_case   :			Optional[Any]						    = tokenizer_p.encode_plus(_lowercase   ,	add_special_tokens=_lowercase   ,	return_token_type_ids=_lowercase		)

																					# token_type_ids should put 0 everywhere
																					self.assertEqual(sum(tokens_r["token_type_ids"]		)   ,	sum(tokens_p["token_type_ids"]		)		)

																					# attention_mask should put 1 everywhere, so sum over length should be 1
																					self.assertEqual(
																					    sum(tokens_r["attention_mask"]		) / len(tokens_r["attention_mask"]		)   ,	sum(tokens_p["attention_mask"]		) / len(tokens_p["attention_mask"]		)   ,	)

																					snake_case   :			List[str]						    = tokenizer_r.convert_ids_to_tokens(tokens_r["input_ids"]		)
																					snake_case   :			List[Any]						    = tokenizer_p.convert_ids_to_tokens(tokens_p["input_ids"]		)

																					# Rust correctly handles the space before the mask while python doesnt
																					self.assertSequenceEqual(tokens_p["input_ids"]   ,	[0, 250, 6, 50264, 3823, 487, 21992, 3645, 4, 2]		)
																					self.assertSequenceEqual(tokens_r["input_ids"]   ,	[0, 250, 6, 50264, 3823, 487, 21992, 3645, 4, 2]		)

																					self.assertSequenceEqual(
																					    _lowercase   ,	["<s>", "A", ",", "<mask>", "ĠAllen", "N", "LP", "Ġsentence", ".", "</s>"]		)
																					self.assertSequenceEqual(
																					    _lowercase   ,	["<s>", "A", ",", "<mask>", "ĠAllen", "N", "LP", "Ġsentence", ".", "</s>"]		)



			def 				__lowercase					(			self							:				Tuple		)							->					List[Any]:
									for trim_offsets, add_prefix_space in itertools.product([True, False]   ,	repeat=2		):
															snake_case   :			List[Any]						    = self.rust_tokenizer_class.from_pretrained(
															    self.tmpdirname   ,	use_fast=_lowercase   ,	add_prefix_space=_lowercase   ,	trim_offsets=_lowercase		)

															snake_case   :			Optional[int]						    = json.loads(tokenizer_r.backend_tokenizer.pre_tokenizer.__getstate__()		)
															snake_case   :			Union[str, Any]						    = json.loads(tokenizer_r.backend_tokenizer.post_processor.__getstate__()		)

															self.assertEqual(pre_tokenizer_state["add_prefix_space"]   ,	_lowercase		)

															self.assertEqual(post_processor_state["add_prefix_space"]   ,	_lowercase		)
															self.assertEqual(post_processor_state["trim_offsets"]   ,	_lowercase		)



			def 				__lowercase					(			self							:				int		)							->					List[str]:
									# Test which aims to verify that the offsets are well adapted to the argument `add_prefix_space` and
									# `trim_offsets`
									for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
															with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''		):
																					snake_case   :			List[Any]						    = "hello"  # `hello` is a token in the vocabulary of `pretrained_name`
																					snake_case   :			List[str]						    = F'''{text_of_1_token} {text_of_1_token}'''

																					snake_case   :			Optional[Any]						    = self.rust_tokenizer_class.from_pretrained(
																					    _lowercase   ,	use_fast=_lowercase   ,	add_prefix_space=_lowercase   ,	trim_offsets=_lowercase		)
																					snake_case   :			Union[str, Any]						    = tokenizer_r(_lowercase   ,	return_offsets_mapping=_lowercase   ,	add_special_tokens=_lowercase		)
																					self.assertEqual(encoding.offset_mapping[0]   ,	(0, len(_lowercase		))		)
																					self.assertEqual(
																					    encoding.offset_mapping[1]   ,	(len(_lowercase		) + 1, len(_lowercase		) + 1 + len(_lowercase		))   ,	)

																					snake_case   :			List[Any]						    = self.rust_tokenizer_class.from_pretrained(
																					    _lowercase   ,	use_fast=_lowercase   ,	add_prefix_space=_lowercase   ,	trim_offsets=_lowercase		)
																					snake_case   :			Tuple						    = tokenizer_r(_lowercase   ,	return_offsets_mapping=_lowercase   ,	add_special_tokens=_lowercase		)
																					self.assertEqual(encoding.offset_mapping[0]   ,	(0, len(_lowercase		))		)
																					self.assertEqual(
																					    encoding.offset_mapping[1]   ,	(len(_lowercase		) + 1, len(_lowercase		) + 1 + len(_lowercase		))   ,	)

																					snake_case   :			Dict						    = self.rust_tokenizer_class.from_pretrained(
																					    _lowercase   ,	use_fast=_lowercase   ,	add_prefix_space=_lowercase   ,	trim_offsets=_lowercase		)
																					snake_case   :			int						    = tokenizer_r(_lowercase   ,	return_offsets_mapping=_lowercase   ,	add_special_tokens=_lowercase		)
																					self.assertEqual(encoding.offset_mapping[0]   ,	(0, len(_lowercase		))		)
																					self.assertEqual(
																					    encoding.offset_mapping[1]   ,	(len(_lowercase		), len(_lowercase		) + 1 + len(_lowercase		))   ,	)

																					snake_case   :			Optional[int]						    = self.rust_tokenizer_class.from_pretrained(
																					    _lowercase   ,	use_fast=_lowercase   ,	add_prefix_space=_lowercase   ,	trim_offsets=_lowercase		)
																					snake_case   :			Optional[int]						    = tokenizer_r(_lowercase   ,	return_offsets_mapping=_lowercase   ,	add_special_tokens=_lowercase		)
																					self.assertEqual(encoding.offset_mapping[0]   ,	(0, len(_lowercase		))		)
																					self.assertEqual(
																					    encoding.offset_mapping[1]   ,	(len(_lowercase		), len(_lowercase		) + 1 + len(_lowercase		))   ,	)

																					snake_case   :			Dict						    = F''' {text}'''

																					# tokenizer_r = self.rust_tokenizer_class.from_pretrained(
																					#     pretrained_name, use_fast=True, add_prefix_space=True, trim_offsets=True
																					# )
																					# encoding = tokenizer_r(text, return_offsets_mapping=True, add_special_tokens=False)
																					# self.assertEqual(encoding.offset_mapping[0], (1, 1 + len(text_of_1_token)))
																					# self.assertEqual(
																					#     encoding.offset_mapping[1],
																					#     (1 + len(text_of_1_token) + 1, 1 + len(text_of_1_token) + 1 + len(text_of_1_token)),
																					# )

																					snake_case   :			List[str]						    = self.rust_tokenizer_class.from_pretrained(
																					    _lowercase   ,	use_fast=_lowercase   ,	add_prefix_space=_lowercase   ,	trim_offsets=_lowercase		)
																					snake_case   :			List[str]						    = tokenizer_r(_lowercase   ,	return_offsets_mapping=_lowercase   ,	add_special_tokens=_lowercase		)
																					self.assertEqual(encoding.offset_mapping[0]   ,	(1, 1 + len(_lowercase		))		)
																					self.assertEqual(
																					    encoding.offset_mapping[1]   ,	(1 + len(_lowercase		) + 1, 1 + len(_lowercase		) + 1 + len(_lowercase		))   ,	)

																					snake_case   :			Union[str, Any]						    = self.rust_tokenizer_class.from_pretrained(
																					    _lowercase   ,	use_fast=_lowercase   ,	add_prefix_space=_lowercase   ,	trim_offsets=_lowercase		)
																					snake_case   :			Optional[int]						    = tokenizer_r(_lowercase   ,	return_offsets_mapping=_lowercase   ,	add_special_tokens=_lowercase		)
																					self.assertEqual(encoding.offset_mapping[0]   ,	(0, 1 + len(_lowercase		))		)
																					self.assertEqual(
																					    encoding.offset_mapping[1]   ,	(1 + len(_lowercase		), 1 + len(_lowercase		) + 1 + len(_lowercase		))   ,	)

																					snake_case   :			Optional[Any]						    = self.rust_tokenizer_class.from_pretrained(
																					    _lowercase   ,	use_fast=_lowercase   ,	add_prefix_space=_lowercase   ,	trim_offsets=_lowercase		)
																					snake_case   :			Union[str, Any]						    = tokenizer_r(_lowercase   ,	return_offsets_mapping=_lowercase   ,	add_special_tokens=_lowercase		)
																					self.assertEqual(encoding.offset_mapping[0]   ,	(0, 1 + len(_lowercase		))		)
																					self.assertEqual(
																					    encoding.offset_mapping[1]   ,	(1 + len(_lowercase		), 1 + len(_lowercase		) + 1 + len(_lowercase		))   ,	)



