



import json
import os
import unittest

from transformers.models.roc_bert.tokenization_roc_bert import (
    VOCAB_FILES_NAMES,
    RoCBertBasicTokenizer,
    RoCBertTokenizer,
    RoCBertWordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english

@require_tokenizers
class   _A   ( _lowercase  ,						unittest.TestCase	):


						'''simple docstring'''





						_snake_case			:     List[str]      							=      RoCBertTokenizer
						_snake_case			:     Optional[Any]      							=      None
						_snake_case			:     int      							=      False
						_snake_case			:     Optional[int]      							=      True
						_snake_case			:     Optional[Any]      							=      filter_non_english



						def     _snake_case	(	self	:							Optional[Any]	):






							'''simple docstring'''



							super().setUp()

							__lowercase		       =			["[UNK]", "[CLS]", "[SEP]", "[PAD]", "[MASK]", "你", "好", "是", "谁", "a", "b", "c", "d"]
							__lowercase		       =			{}
							__lowercase		       =			{}
							for i, value in enumerate(lowerCamelCase	):
								__lowercase		       =			i
								__lowercase		       =			i
							__lowercase		       =			os.path.join(self.tmpdirname							,      VOCAB_FILES_NAMES["vocab_file"]	)
							__lowercase		       =			os.path.join(self.tmpdirname							,      VOCAB_FILES_NAMES["word_shape_file"]	)
							__lowercase		       =			os.path.join(self.tmpdirname							,      VOCAB_FILES_NAMES["word_pronunciation_file"]	)
							with open(self.vocab_file							,      "w"							,      encoding="utf-8"	) as vocab_writer:
								vocab_writer.write("".join([x + "\n" for x in vocab_tokens]	)	)
							with open(self.word_shape_file							,      "w"							,      encoding="utf-8"	) as word_shape_writer:
								json.dump(lowerCamelCase							,      lowerCamelCase							,      ensure_ascii=lowerCamelCase	)
							with open(self.word_pronunciation_file							,      "w"							,      encoding="utf-8"	) as word_pronunciation_writer:
								json.dump(lowerCamelCase							,      lowerCamelCase							,      ensure_ascii=lowerCamelCase	)



						def     _snake_case	(	self	:							List[str]	):






							'''simple docstring'''



							__lowercase		       =			self.tokenizer_class(self.vocab_file							,      self.word_shape_file							,      self.word_pronunciation_file	)

							__lowercase		       =			tokenizer.tokenize("你好[SEP]你是谁"	)
							self.assertListEqual(lowerCamelCase							,      ["你", "好", "[SEP]", "你", "是", "谁"]	)
							self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCamelCase	)							,      [5, 6, 2, 5, 7, 8]	)
							self.assertListEqual(tokenizer.convert_tokens_to_shape_ids(lowerCamelCase	)							,      [5, 6, 2, 5, 7, 8]	)
							self.assertListEqual(tokenizer.convert_tokens_to_pronunciation_ids(lowerCamelCase	)							,      [5, 6, 2, 5, 7, 8]	)



						def     _snake_case	(	self	:							Dict	):






							'''simple docstring'''



							__lowercase		       =			RoCBertBasicTokenizer()

							self.assertListEqual(tokenizer.tokenize("ah\u535A\u63A8zz"	)							,      ["ah", "\u535A", "\u63A8", "zz"]	)



						def     _snake_case	(	self	:							int	):






							'''simple docstring'''



							__lowercase		       =			RoCBertBasicTokenizer(do_lower_case=lowerCamelCase	)

							self.assertListEqual(
							    tokenizer.tokenize(" \tHeLLo!how  \n Are yoU?  "	)							,      ["hello", "!", "how", "are", "you", "?"]	)
							self.assertListEqual(tokenizer.tokenize("H\u00E9llo"	)							,      ["hello"]	)



						def     _snake_case	(	self	:							int	):






							'''simple docstring'''



							__lowercase		       =			RoCBertBasicTokenizer(do_lower_case=lowerCamelCase							,      strip_accents=lowerCamelCase	)

							self.assertListEqual(
							    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "	)							,      ["hällo", "!", "how", "are", "you", "?"]	)
							self.assertListEqual(tokenizer.tokenize("H\u00E9llo"	)							,      ["h\u00E9llo"]	)



						def     _snake_case	(	self	:							Optional[Any]	):






							'''simple docstring'''



							__lowercase		       =			RoCBertBasicTokenizer(do_lower_case=lowerCamelCase							,      strip_accents=lowerCamelCase	)

							self.assertListEqual(
							    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "	)							,      ["hallo", "!", "how", "are", "you", "?"]	)
							self.assertListEqual(tokenizer.tokenize("H\u00E9llo"	)							,      ["hello"]	)



						def     _snake_case	(	self	:							Dict	):






							'''simple docstring'''



							__lowercase		       =			RoCBertBasicTokenizer(do_lower_case=lowerCamelCase	)

							self.assertListEqual(
							    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "	)							,      ["hallo", "!", "how", "are", "you", "?"]	)
							self.assertListEqual(tokenizer.tokenize("H\u00E9llo"	)							,      ["hello"]	)



						def     _snake_case	(	self	:							int	):






							'''simple docstring'''



							__lowercase		       =			RoCBertBasicTokenizer(do_lower_case=lowerCamelCase	)

							self.assertListEqual(
							    tokenizer.tokenize(" \tHeLLo!how  \n Are yoU?  "	)							,      ["HeLLo", "!", "how", "Are", "yoU", "?"]	)



						def     _snake_case	(	self	:							Any	):






							'''simple docstring'''



							__lowercase		       =			RoCBertBasicTokenizer(do_lower_case=lowerCamelCase							,      strip_accents=lowerCamelCase	)

							self.assertListEqual(
							    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "	)							,      ["HäLLo", "!", "how", "Are", "yoU", "?"]	)



						def     _snake_case	(	self	:							Optional[int]	):






							'''simple docstring'''



							__lowercase		       =			RoCBertBasicTokenizer(do_lower_case=lowerCamelCase							,      strip_accents=lowerCamelCase	)

							self.assertListEqual(
							    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "	)							,      ["HaLLo", "!", "how", "Are", "yoU", "?"]	)



						def     _snake_case	(	self	:							List[str]	):






							'''simple docstring'''



							__lowercase		       =			RoCBertBasicTokenizer(do_lower_case=lowerCamelCase							,      never_split=["[UNK]"]	)

							self.assertListEqual(
							    tokenizer.tokenize(" \tHeLLo!how  \n Are yoU? [UNK]"	)							,      ["HeLLo", "!", "how", "Are", "yoU", "?", "[UNK]"]	)



						def     _snake_case	(	self	:							Tuple	):






							'''simple docstring'''



							__lowercase		       =			["[UNK]", "[CLS]", "[SEP]", "want", "##want", "##ed", "wa", "un", "runn", "##ing"]

							__lowercase		       =			{}
							for i, token in enumerate(lowerCamelCase	):
								__lowercase		       =			i
							__lowercase		       =			RoCBertWordpieceTokenizer(vocab=lowerCamelCase							,      unk_token="[UNK]"	)

							self.assertListEqual(tokenizer.tokenize(""	)							,      []	)

							self.assertListEqual(tokenizer.tokenize("unwanted running"	)							,      ["un", "##want", "##ed", "runn", "##ing"]	)

							self.assertListEqual(tokenizer.tokenize("unwantedX running"	)							,      ["[UNK]", "runn", "##ing"]	)



						def     _snake_case	(	self	:							int	):






							'''simple docstring'''



							self.assertTrue(_is_whitespace(" "	)	)
							self.assertTrue(_is_whitespace("\t"	)	)
							self.assertTrue(_is_whitespace("\r"	)	)
							self.assertTrue(_is_whitespace("\n"	)	)
							self.assertTrue(_is_whitespace("\u00A0"	)	)

							self.assertFalse(_is_whitespace("A"	)	)
							self.assertFalse(_is_whitespace("-"	)	)



						def     _snake_case	(	self	:							Tuple	):






							'''simple docstring'''



							self.assertTrue(_is_control("\u0005"	)	)

							self.assertFalse(_is_control("A"	)	)
							self.assertFalse(_is_control(" "	)	)
							self.assertFalse(_is_control("\t"	)	)
							self.assertFalse(_is_control("\r"	)	)



						def     _snake_case	(	self	:							Any	):






							'''simple docstring'''



							self.assertTrue(_is_punctuation("-"	)	)
							self.assertTrue(_is_punctuation("$"	)	)
							self.assertTrue(_is_punctuation("`"	)	)
							self.assertTrue(_is_punctuation("."	)	)

							self.assertFalse(_is_punctuation("A"	)	)
							self.assertFalse(_is_punctuation(" "	)	)



						def     _snake_case	(	self	:							Tuple	):






							'''simple docstring'''



							__lowercase		       =			self.get_tokenizer()

							# Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
							self.assertListEqual([tokenizer.tokenize(lowerCamelCase	) for t in ["Test", "\xad", "test"]]							,      [["[UNK]"], [], ["[UNK]"]]	)

							if self.test_rust_tokenizer:
								__lowercase		       =			self.get_rust_tokenizer()
								self.assertListEqual(
								    [rust_tokenizer.tokenize(lowerCamelCase	) for t in ["Test", "\xad", "test"]]							,      [["[UNK]"], [], ["[UNK]"]]	)



						def     _snake_case	(	self	:							Union[str, Any]	):






							'''simple docstring'''



							for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
								with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})"""	):
									__lowercase		       =			self.rust_tokenizer_class.from_pretrained(lowerCamelCase							,      **lowerCamelCase	)

									__lowercase		       =			f"""A, naïve {tokenizer_r.mask_token} AllenNLP sentence."""
									__lowercase		       =			tokenizer_r.encode_plus(
									    lowerCamelCase							,      return_attention_mask=lowerCamelCase							,      return_token_type_ids=lowerCamelCase							,      return_offsets_mapping=lowerCamelCase							,      add_special_tokens=lowerCamelCase							,      )

									__lowercase		       =			tokenizer_r.do_lower_case if hasattr(lowerCamelCase							,      "do_lower_case"	) else False
									__lowercase		       =			(
									    [
									        ((0, 0), tokenizer_r.cls_token),
									        ((0, 1), "A"),
									        ((1, 2), ","),
									        ((3, 5), "na"),
									        ((5, 6), "##ï"),
									        ((6, 8), "##ve"),
									        ((9, 15), tokenizer_r.mask_token),
									        ((16, 21), "Allen"),
									        ((21, 23), "##NL"),
									        ((23, 24), "##P"),
									        ((25, 33), "sentence"),
									        ((33, 34), "."),
									        ((0, 0), tokenizer_r.sep_token),
									    ]
									    if not do_lower_case
									    else [
									        ((0, 0), tokenizer_r.cls_token),
									        ((0, 1), "a"),
									        ((1, 2), ","),
									        ((3, 8), "naive"),
									        ((9, 15), tokenizer_r.mask_token),
									        ((16, 21), "allen"),
									        ((21, 23), "##nl"),
									        ((23, 24), "##p"),
									        ((25, 33), "sentence"),
									        ((33, 34), "."),
									        ((0, 0), tokenizer_r.sep_token),
									    ]
									)

									self.assertEqual(
									    [e[1] for e in expected_results]							,      tokenizer_r.convert_ids_to_tokens(tokens["input_ids"]	)	)
									self.assertEqual([e[0] for e in expected_results]							,      tokens["offset_mapping"]	)



						def     _snake_case	(	self	:							str	):






							'''simple docstring'''



							__lowercase		       =			["的", "人", "有"]
							__lowercase		       =			"".join(lowerCamelCase	)
							for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
								with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})"""	):
									__lowercase		       =			True
									__lowercase		       =			self.tokenizer_class.from_pretrained(lowerCamelCase							,      **lowerCamelCase	)
									__lowercase		       =			self.rust_tokenizer_class.from_pretrained(lowerCamelCase							,      **lowerCamelCase	)

									__lowercase		       =			tokenizer_p.encode(lowerCamelCase							,      add_special_tokens=lowerCamelCase	)
									__lowercase		       =			tokenizer_r.encode(lowerCamelCase							,      add_special_tokens=lowerCamelCase	)

									__lowercase		       =			tokenizer_r.convert_ids_to_tokens(lowerCamelCase	)
									__lowercase		       =			tokenizer_p.convert_ids_to_tokens(lowerCamelCase	)

									# it is expected that each Chinese character is not preceded by "##"
									self.assertListEqual(lowerCamelCase							,      lowerCamelCase	)
									self.assertListEqual(lowerCamelCase							,      lowerCamelCase	)

									__lowercase		       =			False
									__lowercase		       =			self.rust_tokenizer_class.from_pretrained(lowerCamelCase							,      **lowerCamelCase	)
									__lowercase		       =			self.tokenizer_class.from_pretrained(lowerCamelCase							,      **lowerCamelCase	)

									__lowercase		       =			tokenizer_r.encode(lowerCamelCase							,      add_special_tokens=lowerCamelCase	)
									__lowercase		       =			tokenizer_p.encode(lowerCamelCase							,      add_special_tokens=lowerCamelCase	)

									__lowercase		       =			tokenizer_r.convert_ids_to_tokens(lowerCamelCase	)
									__lowercase		       =			tokenizer_p.convert_ids_to_tokens(lowerCamelCase	)

									# it is expected that only the first Chinese character is not preceded by "##".
									__lowercase		       =			[
									    f"""##{token}""" if idx != 0 else token for idx, token in enumerate(lowerCamelCase	)
									]
									self.assertListEqual(lowerCamelCase							,      lowerCamelCase	)
									self.assertListEqual(lowerCamelCase							,      lowerCamelCase	)



						@slow
						def     _snake_case	(	self	:							Dict	):






							'''simple docstring'''



							__lowercase		       =			self.tokenizer_class(self.vocab_file							,      self.word_shape_file							,      self.word_pronunciation_file	)

							__lowercase		       =			tokenizer.encode("你好"							,      add_special_tokens=lowerCamelCase	)
							__lowercase		       =			tokenizer.encode("你是谁"							,      add_special_tokens=lowerCamelCase	)

							__lowercase		       =			tokenizer.build_inputs_with_special_tokens(lowerCamelCase	)
							__lowercase		       =			tokenizer.build_inputs_with_special_tokens(lowerCamelCase							,      lowerCamelCase	)

							assert encoded_sentence == [1] + text + [2]
							assert encoded_pair == [1] + text + [2] + text_a + [2]



						def     _snake_case	(	self	:							Any	):






							'''simple docstring'''



							__lowercase		       =			self.get_tokenizers(do_lower_case=lowerCamelCase	)
							for tokenizer in tokenizers:
								with self.subTest(f"""{tokenizer.__class__.__name__}"""	):
									__lowercase		       =			"你好，你是谁"
									__lowercase		       =			tokenizer.tokenize(lowerCamelCase	)
									__lowercase		       =			tokenizer.convert_tokens_to_ids(lowerCamelCase	)
									__lowercase		       =			tokenizer.convert_tokens_to_shape_ids(lowerCamelCase	)
									__lowercase		       =			tokenizer.convert_tokens_to_pronunciation_ids(lowerCamelCase	)
									__lowercase		       =			tokenizer.prepare_for_model(
									    lowerCamelCase							,      lowerCamelCase							,      lowerCamelCase							,      add_special_tokens=lowerCamelCase	)

									__lowercase		       =			tokenizer.encode_plus(lowerCamelCase							,      add_special_tokens=lowerCamelCase	)

									self.assertEqual(lowerCamelCase							,      lowerCamelCase	)









import logging
import os
import sys
from pathlib import Path
from unittest.mock import patch

from parameterized import parameterized
from run_eval import run_generate
from run_eval_search import run_search

from transformers.testing_utils import CaptureStdout, TestCasePlus, slow
from utils import ROUGE_KEYS


logging.basicConfig(level=logging.DEBUG)
snake_case__					:     Optional[Any]    		=   logging.getLogger()



def    snake_case_				(    _SCREAMING_SNAKE_CASE  ,	_SCREAMING_SNAKE_CASE   ):
	__lowercase		       =			"\n".join(_SCREAMING_SNAKE_CASE   )
	Path(_SCREAMING_SNAKE_CASE   ).open("w"   ).writelines(_SCREAMING_SNAKE_CASE   )


snake_case__					:     List[str]    		=   """patrickvonplaten/t5-tiny-random"""
snake_case__					:     int    		=   """sshleifer/bart-tiny-random"""
snake_case__					:     Union[str, Any]    		=   """sshleifer/tiny-mbart"""

snake_case__					:     List[str]    		=   logging.StreamHandler(sys.stdout)
logger.addHandler(stream_handler)
logging.disable(logging.CRITICAL)  # remove noisy download output from tracebacks

class   _A   ( _lowercase	):


						'''simple docstring'''





						def     _snake_case	(	self	:							str							,      lowerCamelCase	:							Optional[int]	):






							'''simple docstring'''



							__lowercase		       =			Path(self.get_auto_remove_tmp_dir()	) / "utest_input.source"
							__lowercase		       =			input_file_name.parent / "utest_output.txt"
							assert not output_file_name.exists()
							__lowercase		       =			[" New York (CNN)When Liana Barrientos was 23 years old, she got married in Westchester County."]
							_dump_articles(lowerCamelCase							,      lowerCamelCase	)

							__lowercase		       =			str(Path(self.get_auto_remove_tmp_dir()	) / "scores.json"	)
							__lowercase		       =			"translation_en_to_de" if model == T5_TINY else "summarization"
							__lowercase		       =			f"""
            run_eval_search.py
            {model}
            {input_file_name}
            {output_file_name}
            --score_path {score_path}
            --task {task}
            --num_beams 2
            --length_penalty 2.0
            """.split()

							with patch.object(lowerCamelCase							,      "argv"							,      lowerCamelCase	):
								run_generate()
								assert Path(lowerCamelCase	).exists()
								# os.remove(Path(output_file_name))



						def     _snake_case	(	self	:							Dict	):






							'''simple docstring'''



							self.run_eval_tester(lowerCamelCase	)



						@parameterized.expand([BART_TINY, MBART_TINY]	)
						@slow
						def     _snake_case	(	self	:							Optional[Any]							,      lowerCamelCase	:							str	):






							'''simple docstring'''



							self.run_eval_tester(lowerCamelCase	)



						@parameterized.expand([T5_TINY, MBART_TINY]	)
						@slow
						def     _snake_case	(	self	:							Optional[Any]							,      lowerCamelCase	:							Optional[int]	):






							'''simple docstring'''



							__lowercase		       =			Path(self.get_auto_remove_tmp_dir()	) / "utest_input.source"
							__lowercase		       =			input_file_name.parent / "utest_output.txt"
							assert not output_file_name.exists()

							__lowercase		       =			{
							    "en": ["Machine learning is great, isn't it?", "I like to eat bananas", "Tomorrow is another great day!"],
							    "de": [
							        "Maschinelles Lernen ist großartig, oder?",
							        "Ich esse gerne Bananen",
							        "Morgen ist wieder ein toller Tag!",
							    ],
							}

							__lowercase		       =			Path(self.get_auto_remove_tmp_dir()	)
							__lowercase		       =			str(tmp_dir / "scores.json"	)
							__lowercase		       =			str(tmp_dir / "val.target"	)
							_dump_articles(lowerCamelCase							,      text["en"]	)
							_dump_articles(lowerCamelCase							,      text["de"]	)
							__lowercase		       =			"translation_en_to_de" if model == T5_TINY else "summarization"
							__lowercase		       =			f"""
            run_eval_search.py
            {model}
            {str(lowerCamelCase	)}
            {str(lowerCamelCase	)}
            --score_path {score_path}
            --reference_path {reference_path}
            --task {task}
            """.split()
							testargs.extend(["--search", "num_beams=1:2 length_penalty=0.9:1.0"]	)

							with patch.object(lowerCamelCase							,      "argv"							,      lowerCamelCase	):
								with CaptureStdout() as cs:
									run_search()
								__lowercase		       =			[" num_beams | length_penalty", model, "Best score args"]
								__lowercase		       =			["Info"]
								if "translation" in task:
									expected_strings.append("bleu"	)
								else:
									expected_strings.extend(lowerCamelCase	)
								for w in expected_strings:
									assert w in cs.out
								for w in un_expected_strings:
									assert w not in cs.out
								assert Path(lowerCamelCase	).exists()
								os.remove(Path(lowerCamelCase	)	)



