

import json
import os
import unittest

from transformers.models.xlm.tokenization_xlm import VOCAB_FILES_NAMES, XLMTokenizer
from transformers.testing_utils import slow

from ...test_tokenization_common import TokenizerTesterMixin






class      lowerCamelCase_      (	_lowercase						,      unittest.TestCase	):
	_lowercase		:   Dict     					=				XLMTokenizer
	_lowercase		:   Any     					=				False




	def        lowerCAmelCase_       (     self						:     Dict							):
		super().setUp()

		# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
		__A :			Dict		    =			[
		    """l""",
		    """o""",
		    """w""",
		    """e""",
		    """r""",
		    """s""",
		    """t""",
		    """i""",
		    """d""",
		    """n""",
		    """w</w>""",
		    """r</w>""",
		    """t</w>""",
		    """lo""",
		    """low""",
		    """er</w>""",
		    """low</w>""",
		    """lowest</w>""",
		    """newer</w>""",
		    """wider</w>""",
		    """<unk>""",
		]
		__A :			Tuple		    =			dict(zip(__A					,      range(len(__A							)							)							)							)
		__A :			Any		    =			["""l o 123""", """lo w 1456""", """e r</w> 1789""", """"""]

		__A :			Optional[Any]		    =			os.path.join(self.tmpdirname					,      VOCAB_FILES_NAMES["""vocab_file"""]							)
		__A :			Tuple		    =			os.path.join(self.tmpdirname					,      VOCAB_FILES_NAMES["""merges_file"""]							)
		with open(self.vocab_file					,      """w"""							) as fp:
			fp.write(json.dumps(__A							)							)
		with open(self.merges_file					,      """w"""							) as fp:
			fp.write("""\n""".join(__A							)							)




	def        lowerCAmelCase_       (     self						:     Optional[int]					,      __A						:     Optional[Any]							):
		__A :			Optional[Any]		    =			"""lower newer"""
		__A :			Tuple		    =			"""lower newer"""
		return input_text, output_text




	def        lowerCAmelCase_       (     self						:     Union[str, Any]							):
		__A :			Dict		    =			XLMTokenizer(self.vocab_file					,      self.merges_file							)

		__A :			Union[str, Any]		    =			"""lower"""
		__A :			Optional[int]		    =			["""low""", """er</w>"""]
		__A :			int		    =			tokenizer.tokenize(__A							)
		self.assertListEqual(__A					,      __A							)

		__A :			int		    =			tokens + ["""<unk>"""]
		__A :			Dict		    =			[14, 15, 20]
		self.assertListEqual(tokenizer.convert_tokens_to_ids(__A							)					,      __A							)




	@slow
	def        lowerCAmelCase_       (     self						:     Dict							):
		__A :			Tuple		    =			XLMTokenizer.from_pretrained("""xlm-mlm-en-2048"""							)

		__A :			str		    =			tokenizer.encode("""sequence builders"""					,      add_special_tokens=__A							)
		__A :			Optional[Any]		    =			tokenizer.encode("""multi-sequence build"""					,      add_special_tokens=__A							)

		__A :			Union[str, Any]		    =			tokenizer.build_inputs_with_special_tokens(__A							)
		__A :			Union[str, Any]		    =			tokenizer.build_inputs_with_special_tokens(__A					,      __A							)

		assert encoded_sentence == [0] + text + [1]
		assert encoded_pair == [0] + text + [1] + text_a + [1]








import fire

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


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





