






import os
import unittest

from transformers import BatchEncoding
from transformers.models.bert.tokenization_bert import (
    BasicTokenizer,
    WordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.models.prophetnet.tokenization_prophetnet import VOCAB_FILES_NAMES, ProphetNetTokenizer
from transformers.testing_utils import require_torch, slow

from ...test_tokenization_common import TokenizerTesterMixin


class   __SCREAMING_SNAKE_CASE(	a_    ,  unittest.TestCase	):
							_UpperCAmelCase     =       ProphetNetTokenizer
							_UpperCAmelCase     =       False
							def lowerCAmelCase_ (     self:      int						)		->		Any:
											super().setUp()

											snake_case__									=     [
											    '[UNK]',
											    '[CLS]',
											    '[SEP]',
											    '[PAD]',
											    '[MASK]',
											    'want',
											    '##want',
											    '##ed',
											    'wa',
											    'un',
											    'runn',
											    '##ing',
											    ',',
											    'low',
											    'lowest',
											]
											snake_case__									=     os.path.join(self.tmpdirname       ,	VOCAB_FILES_NAMES['vocab_file']						)
											with open(self.vocab_file       ,	'w'       ,	encoding='utf-8'						) as vocab_writer:
															vocab_writer.write(''.join([x + '\n' for x in vocab_tokens]						)						)
							def lowerCAmelCase_ (     self:      Optional[int]       ,	UpperCamelCase:      int						)		->		Optional[Any]:
											snake_case__									=     'UNwant\u00E9d,running'
											snake_case__									=     'unwanted, running'
											return input_text, output_text
							def lowerCAmelCase_ (     self:      List[Any]						)		->		Any:
											snake_case__									=     self.tokenizer_class(self.vocab_file						)

											snake_case__									=     tokenizer.tokenize('UNwant\u00E9d,running'						)
											self.assertListEqual(UpperCamelCase       ,	['un', '##want', '##ed', ',', 'runn', '##ing']						)
											self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCamelCase						)       ,	[9, 6, 7, 12, 10, 11]						)
							def lowerCAmelCase_ (     self:      Optional[int]						)		->		int:
											snake_case__									=     BasicTokenizer()

											self.assertListEqual(tokenizer.tokenize('ah\u535A\u63A8zz'						)       ,	['ah', '\u535A', '\u63A8', 'zz']						)
							def lowerCAmelCase_ (     self:      int						)		->		Dict:
											snake_case__									=     BasicTokenizer(do_lower_case=UpperCamelCase						)

											self.assertListEqual(
											    tokenizer.tokenize(' \tHeLLo!how  \n Are yoU?  '						)       ,	['hello', '!', 'how', 'are', 'you', '?']						)
											self.assertListEqual(tokenizer.tokenize('H\u00E9llo'						)       ,	['hello']						)
							def lowerCAmelCase_ (     self:      Dict						)		->		List[str]:
											snake_case__									=     BasicTokenizer(do_lower_case=UpperCamelCase       ,	strip_accents=UpperCamelCase						)

											self.assertListEqual(
											    tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '						)       ,	['hällo', '!', 'how', 'are', 'you', '?']						)
											self.assertListEqual(tokenizer.tokenize('H\u00E9llo'						)       ,	['h\u00E9llo']						)
							def lowerCAmelCase_ (     self:      Optional[int]						)		->		List[str]:
											snake_case__									=     BasicTokenizer(do_lower_case=UpperCamelCase       ,	strip_accents=UpperCamelCase						)

											self.assertListEqual(
											    tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '						)       ,	['hallo', '!', 'how', 'are', 'you', '?']						)
											self.assertListEqual(tokenizer.tokenize('H\u00E9llo'						)       ,	['hello']						)
							def lowerCAmelCase_ (     self:      Optional[Any]						)		->		Union[str, Any]:
											snake_case__									=     BasicTokenizer(do_lower_case=UpperCamelCase						)

											self.assertListEqual(
											    tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '						)       ,	['hallo', '!', 'how', 'are', 'you', '?']						)
											self.assertListEqual(tokenizer.tokenize('H\u00E9llo'						)       ,	['hello']						)
							def lowerCAmelCase_ (     self:      str						)		->		Tuple:
											snake_case__									=     BasicTokenizer(do_lower_case=UpperCamelCase						)

											self.assertListEqual(
											    tokenizer.tokenize(' \tHeLLo!how  \n Are yoU?  '						)       ,	['HeLLo', '!', 'how', 'Are', 'yoU', '?']						)
							def lowerCAmelCase_ (     self:      Union[str, Any]						)		->		Any:
											snake_case__									=     BasicTokenizer(do_lower_case=UpperCamelCase       ,	strip_accents=UpperCamelCase						)

											self.assertListEqual(
											    tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '						)       ,	['HäLLo', '!', 'how', 'Are', 'yoU', '?']						)
							def lowerCAmelCase_ (     self:      str						)		->		Optional[Any]:
											snake_case__									=     BasicTokenizer(do_lower_case=UpperCamelCase       ,	strip_accents=UpperCamelCase						)

											self.assertListEqual(
											    tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '						)       ,	['HaLLo', '!', 'how', 'Are', 'yoU', '?']						)
							def lowerCAmelCase_ (     self:      Tuple						)		->		Dict:
											snake_case__									=     BasicTokenizer(do_lower_case=UpperCamelCase       ,	never_split=['[UNK]']						)

											self.assertListEqual(
											    tokenizer.tokenize(' \tHeLLo!how  \n Are yoU? [UNK]'						)       ,	['HeLLo', '!', 'how', 'Are', 'yoU', '?', '[UNK]']						)
							def lowerCAmelCase_ (     self:      Optional[int]						)		->		List[str]:
											snake_case__									=     ['[UNK]', '[CLS]', '[SEP]', 'want', '##want', '##ed', 'wa', 'un', 'runn', '##ing']

											snake_case__									=     {}
											for i, token in enumerate(UpperCamelCase						):
															snake_case__									=     i
											snake_case__									=     WordpieceTokenizer(vocab=UpperCamelCase       ,	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']						)
							@require_torch
							def lowerCAmelCase_ (     self:      Any						)		->		Dict:
											snake_case__									=     self.tokenizer_class.from_pretrained('microsoft/prophetnet-large-uncased'						)

											snake_case__									=     ['A long paragraph for summarization.', 'Another paragraph for summarization.']
											snake_case__									=     [10_37, 21_46, 2_04_23, 20_05, 76_80, 78_49, 39_89, 10_12, 1_02]
											snake_case__									=     tokenizer(UpperCamelCase       ,	padding=UpperCamelCase       ,	return_tensors='pt'						)
											self.assertIsInstance(UpperCamelCase       ,	UpperCamelCase						)
											snake_case__									=     list(batch.input_ids.numpy()[0]						)
											self.assertListEqual(UpperCamelCase       ,	UpperCamelCase						)

											self.assertEqual((2, 9)       ,	batch.input_ids.shape						)
											self.assertEqual((2, 9)       ,	batch.attention_mask.shape						)
							def lowerCAmelCase_ (     self:      int						)		->		List[str]:
											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 lowerCAmelCase_ (     self:      Optional[Any]						)		->		List[Any]:
											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 lowerCAmelCase_ (     self:      Union[str, Any]						)		->		Tuple:
											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(' '						)						)


							@slow
							def lowerCAmelCase_ (     self:      Optional[Any]						)		->		int:
											snake_case__									=     self.tokenizer_class.from_pretrained('microsoft/prophetnet-large-uncased'						)

											snake_case__									=     tokenizer.encode('sequence builders'       ,	add_special_tokens=UpperCamelCase						)
											snake_case__									=     tokenizer.encode('multi-sequence build'       ,	add_special_tokens=UpperCamelCase						)

											snake_case__									=     tokenizer.build_inputs_with_special_tokens(UpperCamelCase						)
											snake_case__									=     tokenizer.build_inputs_with_special_tokens(UpperCamelCase       ,	UpperCamelCase						)

											assert encoded_sentence == text + [1_02]
											assert encoded_pair == text + [1_02] + text_a + [1_02]












from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


__UpperCamelCase					:		Any	  =						logging.get_logger(__name__)

__UpperCamelCase					:		int	  =						{
    """junnyu/roformer_chinese_small""": """https://huggingface.co/junnyu/roformer_chinese_small/resolve/main/config.json""",
    """junnyu/roformer_chinese_base""": """https://huggingface.co/junnyu/roformer_chinese_base/resolve/main/config.json""",
    """junnyu/roformer_chinese_char_small""": (
        """https://huggingface.co/junnyu/roformer_chinese_char_small/resolve/main/config.json"""
    ),
    """junnyu/roformer_chinese_char_base""": (
        """https://huggingface.co/junnyu/roformer_chinese_char_base/resolve/main/config.json"""
    ),
    """junnyu/roformer_small_discriminator""": (
        """https://huggingface.co/junnyu/roformer_small_discriminator/resolve/main/config.json"""
    ),
    """junnyu/roformer_small_generator""": (
        """https://huggingface.co/junnyu/roformer_small_generator/resolve/main/config.json"""
    ),
    # See all RoFormer models at https://huggingface.co/models?filter=roformer
}


class   __SCREAMING_SNAKE_CASE(	a_	):
							_UpperCAmelCase     =       "roformer"
							def __init__(     self:      Tuple       ,	UpperCamelCase:      Optional[Any]=5_00_00       ,	UpperCamelCase:      str=None       ,	UpperCamelCase:      Any=7_68       ,	UpperCamelCase:      Dict=12       ,	UpperCamelCase:      List[Any]=12       ,	UpperCamelCase:      List[str]=30_72       ,	UpperCamelCase:      int="gelu"       ,	UpperCamelCase:      str=0.1       ,	UpperCamelCase:      Union[str, Any]=0.1       ,	UpperCamelCase:      Any=15_36       ,	UpperCamelCase:      Dict=2       ,	UpperCamelCase:      Dict=0.02       ,	UpperCamelCase:      List[str]=1e-12       ,	UpperCamelCase:      int=0       ,	UpperCamelCase:      Any=False       ,	UpperCamelCase:      int=True       ,	**UpperCamelCase:      List[Any]       ,	)		->		List[str]:
											super().__init__(pad_token_id=UpperCamelCase       ,	**UpperCamelCase						)

											snake_case__									=     vocab_size
											snake_case__									=     hidden_size if embedding_size is None else embedding_size
											snake_case__									=     hidden_size
											snake_case__									=     num_hidden_layers
											snake_case__									=     num_attention_heads
											snake_case__									=     hidden_act
											snake_case__									=     intermediate_size
											snake_case__									=     hidden_dropout_prob
											snake_case__									=     attention_probs_dropout_prob
											snake_case__									=     max_position_embeddings
											snake_case__									=     type_vocab_size
											snake_case__									=     initializer_range
											snake_case__									=     layer_norm_eps
											snake_case__									=     rotary_value
											snake_case__									=     use_cache


class   __SCREAMING_SNAKE_CASE(	a_	):
							@property
							def lowerCAmelCase_ (     self:      Any						)		->		Mapping[str, Mapping[int, str]]:
											if self.task == "multiple-choice":
															snake_case__									=     {0: 'batch', 1: 'choice', 2: 'sequence'}
											else:
															snake_case__									=     {0: 'batch', 1: 'sequence'}
											snake_case__									=     {0: 'batch', 1: 'sequence'}
											return OrderedDict(
											    [
											        ('input_ids', dynamic_axis),
											        ('attention_mask', dynamic_axis),
											        ('token_type_ids', dynamic_axis),
											    ]						)




