"""simple docstring"""





import unittest

from transformers import SPIECE_UNDERLINE, ReformerTokenizer, ReformerTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, require_torch, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


_UpperCamelCase   :						int      =    get_tests_dir("fixtures/test_sentencepiece.model")


@require_sentencepiece
@require_tokenizers
class      UpperCAmelCase_	(    _a ,							unittest.TestCase):
      lowerCamelCase__		:    Optional[int]   =  ReformerTokenizer
      lowerCamelCase__		:    Tuple   =  ReformerTokenizerFast
      lowerCamelCase__		:    Optional[int]   =  True
      lowerCamelCase__		:    List[Any]   =  False
      lowerCamelCase__		:    Union[str, Any]   =  True


      def 		_UpperCAmelCase       (   self							)       ->					List[Any]:
             super().setUp()

             lowercase__			:		Union[str, Any]       =	ReformerTokenizer(a		,			keep_accents=a							)
             tokenizer.save_pretrained(self.tmpdirname							)


      def 		_UpperCAmelCase       (   self							)       ->					Tuple:
             lowercase__			:		Optional[Any]       =	'<s>'
             lowercase__			:		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							)       ->					Tuple:
             lowercase__			:		List[Any]       =	list(self.get_tokenizer().get_vocab().keys()							)

             self.assertEqual(vocab_keys[0]		,			'<unk>'							)
             self.assertEqual(vocab_keys[1]		,			'<s>'							)
             self.assertEqual(vocab_keys[-1]		,			'j'							)
             self.assertEqual(len(a							)		,			1_0_0_0							)


      def 		_UpperCAmelCase       (   self							)       ->					Union[str, Any]:
             self.assertEqual(self.get_tokenizer().vocab_size		,			1_0_0_0							)


      def 		_UpperCAmelCase       (   self							)       ->					int:
             if not self.test_rust_tokenizer:
                    return

             lowercase__			:		List[Any]       =	self.get_tokenizer()
             lowercase__			:		Dict       =	self.get_rust_tokenizer()

             lowercase__			:		List[Any]       =	'I was born in 92000, and this is falsé.'

             lowercase__			:		Dict       =	tokenizer.tokenize(a							)
             lowercase__			:		Tuple       =	rust_tokenizer.tokenize(a							)
             self.assertListEqual(a		,			a							)

             lowercase__			:		str       =	tokenizer.encode(a		,			add_special_tokens=a							)
             lowercase__			:		Tuple       =	rust_tokenizer.encode(a		,			add_special_tokens=a							)
             self.assertListEqual(a		,			a							)

             lowercase__			:		Any       =	self.get_rust_tokenizer()
             lowercase__			:		Optional[int]       =	tokenizer.encode(a							)
             lowercase__			:		Tuple       =	rust_tokenizer.encode(a							)
             self.assertListEqual(a		,			a							)


      def 		_UpperCAmelCase       (   self		,			a=1_5							)       ->					str:
             for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
                    with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})"""							):
                           lowercase__			:		Tuple       =	self.rust_tokenizer_class.from_pretrained(a		,			**a							)

                           # Simple input
                           lowercase__			:		Tuple       =	'This is a simple input'
                           lowercase__			:		List[str]       =	['This is a simple input 1', 'This is a simple input 2']
                           lowercase__			:		Optional[int]       =	('This is a simple input', 'This is a pair')
                           lowercase__			:		List[Any]       =	[
                               ('This is a simple input 1', 'This is a simple input 2'),
                               ('This is a simple pair 1', 'This is a simple pair 2'),
                           ]

                           # Simple input tests
                           self.assertRaises(a		,			tokenizer_r.encode		,			a		,			max_length=a		,			padding='max_length'							)

                           # Simple input
                           self.assertRaises(a		,			tokenizer_r.encode_plus		,			a		,			max_length=a		,			padding='max_length'							)

                           # Simple input
                           self.assertRaises(
                               a		,			tokenizer_r.batch_encode_plus		,			a		,			max_length=a		,			padding='max_length'		,			)

                           # Pair input
                           self.assertRaises(a		,			tokenizer_r.encode		,			a		,			max_length=a		,			padding='max_length'							)

                           # Pair input
                           self.assertRaises(a		,			tokenizer_r.encode_plus		,			a		,			max_length=a		,			padding='max_length'							)

                           # Pair input
                           self.assertRaises(
                               a		,			tokenizer_r.batch_encode_plus		,			a		,			max_length=a		,			padding='max_length'		,			)


      def 		_UpperCAmelCase       (   self							)       ->					Optional[int]:
             pass


      def 		_UpperCAmelCase       (   self							)       ->					List[Any]:
             lowercase__			:		Union[str, Any]       =	ReformerTokenizer(a		,			keep_accents=a							)

             lowercase__			:		str       =	tokenizer.tokenize('This is a test'							)
             self.assertListEqual(a		,			['▁This', '▁is', '▁a', '▁t', 'est']							)

             self.assertListEqual(
                 tokenizer.convert_tokens_to_ids(a							)		,			[2_8_5, 4_6, 1_0, 1_7_0, 3_8_2]		,			)

             lowercase__			:		int       =	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',
                     '.',
                 ]		,			)
             lowercase__			:		int       =	tokenizer.convert_tokens_to_ids(a							)
             self.assertListEqual(
                 a		,			[8, 2_1, 8_4, 5_5, 2_4, 1_9, 7, 0, 6_0_2, 3_4_7, 3_4_7, 3_4_7, 3, 1_2, 6_6, 4_6, 7_2, 8_0, 6, 0, 4]		,			)

             lowercase__			:		List[str]       =	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							)       ->					Optional[int]:
             return ReformerTokenizer.from_pretrained('google/reformer-crime-and-punishment'							)


      @slow
      def 		_UpperCAmelCase       (   self							)       ->					Optional[Any]:
             lowercase__			:		Union[str, Any]       =	'Hello World!'
             lowercase__			:		Optional[int]       =	[1_2_6, 3_2, 2_6_2, 1_5_2, 3_8, 7_2, 2_8_7]

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


      @slow
      def 		_UpperCAmelCase       (   self							)       ->					Union[str, Any]:
             lowercase__			:		List[str]       =	(
                 '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'
             )
             lowercase__			:		int       =	[
                 1_0_8,
                 2_6_5,
                 2_4,
                 1_1_1,
                 4,
                 2_5_8,
                 1_5_6,
                 3_5,
                 2_8,
                 2_7_5,
                 3,
                 2_5_9,
                 2_9_7,
                 2_6_0,
                 8_4,
                 4,
                 3_5,
                 1_1_0,
                 4_4,
                 8,
                 2_5_9,
                 9_1,
                 2_6_8,
                 2_1,
                 1_1,
                 2_0_9,
                 2_7_4,
                 1_0_9,
                 2_6_6,
                 2_7_7,
                 1_1_7,
                 8_6,
                 9_3,
                 3_1_5,
                 2_5_8,
                 2_7_8,
                 2_5_8,
                 2_7_7,
                 2_5_8,
                 0,
                 2_5_8,
                 2_8_8,
                 2_5_8,
                 3_1_9,
                 2_5_8,
                 0,
                 2_5_8,
                 0,
                 2_5_8,
                 0,
                 2_5_8,
                 0,
                 2_5_8,
                 2_8_7,
                 2_5_8,
                 3_1_5,
                 2_5_8,
                 2_8_9,
                 2_5_8,
                 2_7_8,
                 9_9,
                 2_6_9,
                 2_6_6,
                 2_6_2,
                 8,
                 2_5_9,
                 2_4_1,
                 4,
                 2_1_7,
                 2_3_0,
                 2_6_8,
                 2_6_6,
                 5_5,
                 1_6_8,
                 1_0_6,
                 7_5,
                 1_9_3,
                 2_6_6,
                 2_2_3,
                 2_7,
                 4_9,
                 2_6,
                 2_8_2,
                 2_5,
                 2_6_4,
                 2_9_9,
                 1_9,
                 2_6,
                 0,
                 2_5_8,
                 2_7_7,
                 1_1_7,
                 8_6,
                 9_3,
                 1_7_6,
                 1_8_3,
                 2_7_0,
                 1_1,
                 2_6_2,
                 4_2,
                 6_1,
                 2_6_5,
             ]

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


      @require_torch
      @slow
      def 		_UpperCAmelCase       (   self							)       ->					List[Any]:
             import torch

             from transformers import ReformerConfig, ReformerModel

             # Build sequence
             lowercase__			:		str       =	list(self.big_tokenizer.get_vocab().keys()							)[:1_0]
             lowercase__			:		List[Any]       =	' '.join(a							)
             lowercase__			:		List[Any]       =	self.big_tokenizer.encode_plus(a		,			return_tensors='pt'							)
             lowercase__			:		Optional[int]       =	self.big_tokenizer.batch_encode_plus([sequence, sequence]		,			return_tensors='pt'							)

             lowercase__			:		Optional[int]       =	ReformerConfig()
             # The input gets padded during training so adjust the axial position encodings from the pretrained model value of (512, 1024)
             lowercase__			:		Dict       =	encoded_sequence['input_ids'].shape
             lowercase__			:		Dict       =	ReformerModel(a							)

             # Reformer has config.vocab_size == tokenizer.vocab_size == len(tokenizer) - 1 = 320; len(tokenizer) is 321 (including a pad token with id 320)
             assert model.get_input_embeddings().weight.shape[0] >= self.big_tokenizer.vocab_size

             with torch.no_grad():
                    model(**a							)
                    model(**a							)


      @slow
      def 		_UpperCAmelCase       (   self							)       ->					Optional[Any]:
             # fmt: off
             lowercase__			:		Optional[Any]       =	{'input_ids': [[1_0_8, 2_6_5, 2_4, 1_1_1, 4, 2_5_8, 1_5_6, 7, 5_1, 2_7_9, 5_8, 7, 7_6, 2_5, 6_9, 2_7_8], [1_4_0, 2_4_3, 2_6_4, 1_3_4, 1_7, 2_6_7, 7_7, 2_6_3, 2_2, 2_6_2, 2_9_7, 2_5_8, 3_0_4, 1_7_7, 2_7_9, 2_6_6, 1_4, 8_9, 1_3, 3_5, 2_6_1, 2_9_9, 2_7_2, 1_3_7, 2_7_5, 2_7_8]], '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]]}  # noqa: E501
             # fmt: on

             # This tokenizer does not know some characters like ")".
             # That is the reason why we use very simple texts here.
             # Also see https://github.com/huggingface/transformers/pull/11737#issuecomment-850769064
             lowercase__			:		List[Any]       =	[
                 'This is a very simple sentence.',
                 'The quick brown fox jumps over the lazy dog.',
             ]

             self.tokenizer_integration_test_util(
                 expected_encoding=a		,			model_name='google/reformer-crime-and-punishment'		,			revision='0e6c3decb8211d49bf881013425dc8b0448b3f5a'		,			padding=a		,			sequences=a		,			)









"""simple docstring"""




import logging
import os
from typing import List, TextIO, Union

from conllu import parse_incr
from utils_ner import InputExample, Split, TokenClassificationTask


_snake_case          =   logging.getLogger(__name__)






class        UpperCamelCase			(	snake_case_      ):


 def __init__(     self		:						Optional[Any]							,						UpperCAmelCase__		:						Optional[int]=-1							)					->       Tuple:
   # in NER datasets, the last column is usually reserved for NER label
   _a  :       Optional[int]             =	label_idx


 def _lowercase	(     self		:						Any							,						UpperCAmelCase__		:						Dict							,						UpperCAmelCase__		:						Union[Split, str]							)					->       List[InputExample]:
   if isinstance(UpperCAmelCase__							,						UpperCAmelCase__							):
     _a  :       Any             =	mode.value
   _a  :       Optional[int]             =	os.path.join(UpperCAmelCase__							,						f"""{mode}.txt"""							)
   _a  :       int             =	1
   _a  :       int             =	[]
   with open(UpperCAmelCase__							,						encoding="""utf-8"""							) as f:
     _a  :       str             =	[]
     _a  :       str             =	[]
     for line in f:
       if line.startswith("""-DOCSTART-"""							) or line == "" or line == "\n":
         if words:
           examples.append(InputExample(guid=f"""{mode}-{guid_index}"""							,						words=UpperCAmelCase__							,						labels=UpperCAmelCase__							)							)
           guid_index += 1
           _a  :       List[str]             =	[]
           _a  :       str             =	[]
       else:
         _a  :       List[Any]             =	line.split(""" """							)
         words.append(splits[0]							)
         if len(UpperCAmelCase__							) > 1:
           labels.append(splits[self.label_idx].replace("""\n"""							,						""""""							)							)
         else:
           # Examples could have no label for mode = "test"
           labels.append("""O"""							)
     if words:
       examples.append(InputExample(guid=f"""{mode}-{guid_index}"""							,						words=UpperCAmelCase__							,						labels=UpperCAmelCase__							)							)
   return examples


 def _lowercase	(     self		:						Optional[Any]							,						UpperCAmelCase__		:						TextIO							,						UpperCAmelCase__		:						TextIO							,						UpperCAmelCase__		:						List							)					->       Union[str, Any]:
   _a  :       List[str]             =	0
   for line in test_input_reader:
     if line.startswith("""-DOCSTART-"""							) or line == "" or line == "\n":
       writer.write(UpperCAmelCase__							)
       if not preds_list[example_id]:
         example_id += 1
     elif preds_list[example_id]:
       _a  :       int             =	line.split()[0] + """ """ + preds_list[example_id].pop(0							) + """\n"""
       writer.write(UpperCAmelCase__							)
     else:
       logger.warning("""Maximum sequence length exceeded: No prediction for '%s'."""							,						line.split()[0]							)







 def _lowercase	(     self		:						List[Any]							,						UpperCAmelCase__		:						str							)					->       List[str]:
   if path:
     with open(UpperCAmelCase__							,						"""r"""							) as f:
       _a  :       List[Any]             =	f.read().splitlines()
     if "O" not in labels:
       _a  :       Union[str, Any]             =	["""O"""] + labels
     return labels
   else:
     return ["O", "B-MISC", "I-MISC", "B-PER", "I-PER", "B-ORG", "I-ORG", "B-LOC", "I-LOC"]







class        UpperCamelCase			(	snake_case_      ):


 def __init__(     self		:						Union[str, Any]							)					->       List[str]:
   # in CONLL2003 dataset chunk column is second-to-last
   super().__init__(label_idx=-2							)







 def _lowercase	(     self		:						List[Any]							,						UpperCAmelCase__		:						str							)					->       List[str]:
   if path:
     with open(UpperCAmelCase__							,						"""r"""							) as f:
       _a  :       Optional[int]             =	f.read().splitlines()
     if "O" not in labels:
       _a  :       Optional[Any]             =	["""O"""] + labels
     return labels
   else:
     return [
         "O",
         "B-ADVP",
         "B-INTJ",
         "B-LST",
         "B-PRT",
         "B-NP",
         "B-SBAR",
         "B-VP",
         "B-ADJP",
         "B-CONJP",
         "B-PP",
         "I-ADVP",
         "I-INTJ",
         "I-LST",
         "I-PRT",
         "I-NP",
         "I-SBAR",
         "I-VP",
         "I-ADJP",
         "I-CONJP",
         "I-PP",
     ]







class        UpperCamelCase			(	snake_case_      ):


 def _lowercase	(     self		:						Optional[Any]							,						UpperCAmelCase__		:						List[Any]							,						UpperCAmelCase__		:						Union[Split, str]							)					->       List[InputExample]:
   if isinstance(UpperCAmelCase__							,						UpperCAmelCase__							):
     _a  :       List[Any]             =	mode.value
   _a  :       Union[str, Any]             =	os.path.join(UpperCAmelCase__							,						f"""{mode}.txt"""							)
   _a  :       List[str]             =	1
   _a  :       Optional[Any]             =	[]

   with open(UpperCAmelCase__							,						encoding="""utf-8"""							) as f:
     for sentence in parse_incr(UpperCAmelCase__							):
       _a  :       List[Any]             =	[]
       _a  :       Any             =	[]
       for token in sentence:
         words.append(token["""form"""]							)
         labels.append(token["""upos"""]							)
       assert len(UpperCAmelCase__							) == len(UpperCAmelCase__							)
       if words:
         examples.append(InputExample(guid=f"""{mode}-{guid_index}"""							,						words=UpperCAmelCase__							,						labels=UpperCAmelCase__							)							)
         guid_index += 1
   return examples


 def _lowercase	(     self		:						Tuple							,						UpperCAmelCase__		:						TextIO							,						UpperCAmelCase__		:						TextIO							,						UpperCAmelCase__		:						List							)					->       Dict:
   _a  :       Optional[Any]             =	0
   for sentence in parse_incr(UpperCAmelCase__							):
     _a  :       List[str]             =	preds_list[example_id]
     _a  :       str             =	""""""
     for token in sentence:
       out += f"""{token['form']} ({token['upos']}|{s_p.pop(0							)}) """
     out += "\n"
     writer.write(UpperCAmelCase__							)
     example_id += 1







 def _lowercase	(     self		:						List[str]							,						UpperCAmelCase__		:						str							)					->       List[str]:
   if path:
     with open(UpperCAmelCase__							,						"""r"""							) as f:
       return f.read().splitlines()
   else:
     return [
         "ADJ",
         "ADP",
         "ADV",
         "AUX",
         "CCONJ",
         "DET",
         "INTJ",
         "NOUN",
         "NUM",
         "PART",
         "PRON",
         "PROPN",
         "PUNCT",
         "SCONJ",
         "SYM",
         "VERB",
         "X",
     ]

