
"""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 __lowerCAmelCase		(				__SCREAMING_SNAKE_CASE      ,  unittest.TestCase      ):
     lowercase						       =						RobertaTokenizer
     lowercase						       =						RobertaTokenizerFast
     lowercase						       =						True
     lowercase						       =						{"cls_token": "<s>"}





     def 						UpperCAmelCase (     self				):

      '''simple docstring'''




      super().setUp()

      # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
      __UpperCamelCase      =	[
          'l',
          'o',
          'w',
          'e',
          'r',
          's',
          't',
          'i',
          'd',
          'n',
          '\u0120',
          '\u0120l',
          '\u0120n',
          '\u0120lo',
          '\u0120low',
          'er',
          '\u0120lowest',
          '\u0120newer',
          '\u0120wider',
          '<unk>',
      ]
      __UpperCamelCase      =	dict(zip(__UpperCAmelCase     ,					range(len(__UpperCAmelCase				)				)				)				)
      __UpperCamelCase      =	['#version: 0.2', '\u0120 l', '\u0120l o', '\u0120lo w', 'e r', '']
      __UpperCamelCase      =	{'unk_token': '<unk>'}

      __UpperCamelCase      =	os.path.join(self.tmpdirname     ,					VOCAB_FILES_NAMES['vocab_file']				)
      __UpperCamelCase      =	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(__UpperCAmelCase				) + '\n'				)
      with open(self.merges_file     ,					'w'     ,					encoding='utf-8'				) as fp:
       fp.write('\n'.join(__UpperCAmelCase				)				)





     def 						UpperCAmelCase (     self     ,					**__UpperCAmelCase				):

      '''simple docstring'''




      kwargs.update(self.special_tokens_map				)
      return self.tokenizer_class.from_pretrained(self.tmpdirname     ,					**__UpperCAmelCase				)





     def 						UpperCAmelCase (     self     ,					**__UpperCAmelCase				):

      '''simple docstring'''




      kwargs.update(self.special_tokens_map				)
      return RobertaTokenizerFast.from_pretrained(self.tmpdirname     ,					**__UpperCAmelCase				)





     def 						UpperCAmelCase (     self     ,					__UpperCAmelCase				):

      '''simple docstring'''




      __UpperCamelCase      =	'lower newer'
      __UpperCamelCase      =	'lower newer'
      return input_text, output_text





     def 						UpperCAmelCase (     self				):

      '''simple docstring'''




      __UpperCamelCase      =	self.tokenizer_class(self.vocab_file     ,					self.merges_file     ,					**self.special_tokens_map				)
      __UpperCamelCase      =	'lower newer'
      __UpperCamelCase      =	['l', 'o', 'w', 'er', '\u0120', 'n', 'e', 'w', 'er']
      __UpperCamelCase      =	tokenizer.tokenize(__UpperCAmelCase				)  # , add_prefix_space=True)
      self.assertListEqual(__UpperCAmelCase     ,					__UpperCAmelCase				)

      __UpperCamelCase      =	tokens + [tokenizer.unk_token]
      __UpperCamelCase      =	[0, 1, 2, 15, 10, 9, 3, 2, 15, 19]
      self.assertListEqual(tokenizer.convert_tokens_to_ids(__UpperCAmelCase				)     ,					__UpperCAmelCase				)





     def 						UpperCAmelCase (     self				):

      '''simple docstring'''




      __UpperCamelCase      =	self.get_tokenizer()

      self.assertListEqual(tokenizer.encode('Hello world!'     ,					add_special_tokens=__UpperCAmelCase				)     ,					[0, 3_1414, 232, 328, 2]				)
      self.assertListEqual(
          tokenizer.encode('Hello world! cécé herlolip 418'     ,					add_special_tokens=__UpperCAmelCase				)     ,					[0, 3_1414, 232, 328, 740, 1140, 1_2695, 69, 4_6078, 1588, 2]     ,					)





     @slow
     def 						UpperCAmelCase (     self				):

      '''simple docstring'''




      __UpperCamelCase      =	self.tokenizer_class.from_pretrained('roberta-base'				)

      __UpperCamelCase      =	tokenizer.encode('sequence builders'     ,					add_special_tokens=__UpperCAmelCase				)
      __UpperCamelCase      =	tokenizer.encode('multi-sequence build'     ,					add_special_tokens=__UpperCAmelCase				)

      __UpperCamelCase      =	tokenizer.encode(
          'sequence builders'     ,					add_special_tokens=__UpperCAmelCase     ,					add_prefix_space=__UpperCAmelCase				)
      __UpperCamelCase      =	tokenizer.encode(
          'sequence builders'     ,					'multi-sequence build'     ,					add_special_tokens=__UpperCAmelCase     ,					add_prefix_space=__UpperCAmelCase				)

      __UpperCamelCase      =	tokenizer.build_inputs_with_special_tokens(__UpperCAmelCase				)
      __UpperCamelCase      =	tokenizer.build_inputs_with_special_tokens(__UpperCAmelCase     ,					__UpperCAmelCase				)

      assert encoded_sentence == encoded_text_from_decode
      assert encoded_pair == encoded_pair_from_decode





     def 						UpperCAmelCase (     self				):

      '''simple docstring'''




      __UpperCamelCase      =	self.get_tokenizer()

      __UpperCamelCase      =	'Encode this sequence.'
      __UpperCamelCase      =	tokenizer.byte_encoder[' '.encode('utf-8'				)[0]]

      # Testing encoder arguments
      __UpperCamelCase      =	tokenizer.encode(__UpperCAmelCase     ,					add_special_tokens=__UpperCAmelCase     ,					add_prefix_space=__UpperCAmelCase				)
      __UpperCamelCase      =	tokenizer.convert_ids_to_tokens(encoded[0]				)[0]
      self.assertNotEqual(__UpperCAmelCase     ,					__UpperCAmelCase				)

      __UpperCamelCase      =	tokenizer.encode(__UpperCAmelCase     ,					add_special_tokens=__UpperCAmelCase     ,					add_prefix_space=__UpperCAmelCase				)
      __UpperCamelCase      =	tokenizer.convert_ids_to_tokens(encoded[0]				)[0]
      self.assertEqual(__UpperCAmelCase     ,					__UpperCAmelCase				)

      tokenizer.add_special_tokens({'bos_token': '<s>'}				)
      __UpperCamelCase      =	tokenizer.encode(__UpperCAmelCase     ,					add_special_tokens=__UpperCAmelCase				)
      __UpperCamelCase      =	tokenizer.convert_ids_to_tokens(encoded[1]				)[0]
      self.assertNotEqual(__UpperCAmelCase     ,					__UpperCAmelCase				)

      # Testing spaces after special tokens
      __UpperCamelCase      =	'<mask>'
      tokenizer.add_special_tokens(
          {'mask_token': AddedToken(__UpperCAmelCase     ,					lstrip=__UpperCAmelCase     ,					rstrip=__UpperCAmelCase				)}				)  # mask token has a left space
      __UpperCamelCase      =	tokenizer.convert_tokens_to_ids(__UpperCAmelCase				)

      __UpperCamelCase      =	'Encode <mask> sequence'
      __UpperCamelCase      =	'Encode <mask>sequence'

      __UpperCamelCase      =	tokenizer.encode(__UpperCAmelCase				)
      __UpperCamelCase      =	encoded.index(__UpperCAmelCase				)
      __UpperCamelCase      =	tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]				)[0]
      self.assertEqual(__UpperCAmelCase     ,					__UpperCAmelCase				)

      __UpperCamelCase      =	tokenizer.encode(__UpperCAmelCase				)
      __UpperCamelCase      =	encoded.index(__UpperCAmelCase				)
      __UpperCamelCase      =	tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]				)[0]
      self.assertNotEqual(__UpperCAmelCase     ,					__UpperCAmelCase				)





     def 						UpperCAmelCase (     self				):

      '''simple docstring'''




      pass





     def 						UpperCAmelCase (     self				):

      '''simple docstring'''




      for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
       with self.subTest(F'{tokenizer.__class__.__name__} ({pretrained_name})'				):
        __UpperCamelCase      =	self.rust_tokenizer_class.from_pretrained(__UpperCAmelCase     ,					**__UpperCAmelCase				)
        __UpperCamelCase      =	self.tokenizer_class.from_pretrained(__UpperCAmelCase     ,					**__UpperCAmelCase				)
        __UpperCamelCase      =	'A, <mask> AllenNLP sentence.'
        __UpperCamelCase      =	tokenizer_r.encode_plus(__UpperCAmelCase     ,					add_special_tokens=__UpperCAmelCase     ,					return_token_type_ids=__UpperCAmelCase				)
        __UpperCamelCase      =	tokenizer_p.encode_plus(__UpperCAmelCase     ,					add_special_tokens=__UpperCAmelCase     ,					return_token_type_ids=__UpperCAmelCase				)

        # 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']				)     ,					)

        __UpperCamelCase      =	tokenizer_r.convert_ids_to_tokens(tokens_r['input_ids']				)
        __UpperCamelCase      =	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, 5_0264, 3823, 487, 2_1992, 3645, 4, 2]				)
        self.assertSequenceEqual(tokens_r['input_ids']     ,					[0, 250, 6, 5_0264, 3823, 487, 2_1992, 3645, 4, 2]				)

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





     def 						UpperCAmelCase (     self				):

      '''simple docstring'''




      for trim_offsets, add_prefix_space in itertools.product([True, False]     ,					repeat=2				):
       __UpperCamelCase      =	self.rust_tokenizer_class.from_pretrained(
           self.tmpdirname     ,					use_fast=__UpperCAmelCase     ,					add_prefix_space=__UpperCAmelCase     ,					trim_offsets=__UpperCAmelCase				)

       __UpperCamelCase      =	json.loads(tokenizer_r.backend_tokenizer.pre_tokenizer.__getstate__()				)
       __UpperCamelCase      =	json.loads(tokenizer_r.backend_tokenizer.post_processor.__getstate__()				)

       self.assertEqual(pre_tokenizer_state['add_prefix_space']     ,					__UpperCAmelCase				)

       self.assertEqual(post_processor_state['add_prefix_space']     ,					__UpperCAmelCase				)
       self.assertEqual(post_processor_state['trim_offsets']     ,					__UpperCAmelCase				)







     def 						UpperCAmelCase (     self				):

      '''simple docstring'''




      for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
       with self.subTest(F'{tokenizer.__class__.__name__} ({pretrained_name})'				):
        __UpperCamelCase      =	'hello'  # `hello` is a token in the vocabulary of `pretrained_name`
        __UpperCamelCase      =	F'{text_of_1_token} {text_of_1_token}'

        __UpperCamelCase      =	self.rust_tokenizer_class.from_pretrained(
            __UpperCAmelCase     ,					use_fast=__UpperCAmelCase     ,					add_prefix_space=__UpperCAmelCase     ,					trim_offsets=__UpperCAmelCase				)
        __UpperCamelCase      =	tokenizer_r(__UpperCAmelCase     ,					return_offsets_mapping=__UpperCAmelCase     ,					add_special_tokens=__UpperCAmelCase				)
        self.assertEqual(encoding.offset_mapping[0]     ,					(0, len(__UpperCAmelCase				))				)
        self.assertEqual(
            encoding.offset_mapping[1]     ,					(len(__UpperCAmelCase				) + 1, len(__UpperCAmelCase				) + 1 + len(__UpperCAmelCase				))     ,					)

        __UpperCamelCase      =	self.rust_tokenizer_class.from_pretrained(
            __UpperCAmelCase     ,					use_fast=__UpperCAmelCase     ,					add_prefix_space=__UpperCAmelCase     ,					trim_offsets=__UpperCAmelCase				)
        __UpperCamelCase      =	tokenizer_r(__UpperCAmelCase     ,					return_offsets_mapping=__UpperCAmelCase     ,					add_special_tokens=__UpperCAmelCase				)
        self.assertEqual(encoding.offset_mapping[0]     ,					(0, len(__UpperCAmelCase				))				)
        self.assertEqual(
            encoding.offset_mapping[1]     ,					(len(__UpperCAmelCase				) + 1, len(__UpperCAmelCase				) + 1 + len(__UpperCAmelCase				))     ,					)

        __UpperCamelCase      =	self.rust_tokenizer_class.from_pretrained(
            __UpperCAmelCase     ,					use_fast=__UpperCAmelCase     ,					add_prefix_space=__UpperCAmelCase     ,					trim_offsets=__UpperCAmelCase				)
        __UpperCamelCase      =	tokenizer_r(__UpperCAmelCase     ,					return_offsets_mapping=__UpperCAmelCase     ,					add_special_tokens=__UpperCAmelCase				)
        self.assertEqual(encoding.offset_mapping[0]     ,					(0, len(__UpperCAmelCase				))				)
        self.assertEqual(
            encoding.offset_mapping[1]     ,					(len(__UpperCAmelCase				), len(__UpperCAmelCase				) + 1 + len(__UpperCAmelCase				))     ,					)

        __UpperCamelCase      =	self.rust_tokenizer_class.from_pretrained(
            __UpperCAmelCase     ,					use_fast=__UpperCAmelCase     ,					add_prefix_space=__UpperCAmelCase     ,					trim_offsets=__UpperCAmelCase				)
        __UpperCamelCase      =	tokenizer_r(__UpperCAmelCase     ,					return_offsets_mapping=__UpperCAmelCase     ,					add_special_tokens=__UpperCAmelCase				)
        self.assertEqual(encoding.offset_mapping[0]     ,					(0, len(__UpperCAmelCase				))				)
        self.assertEqual(
            encoding.offset_mapping[1]     ,					(len(__UpperCAmelCase				), len(__UpperCAmelCase				) + 1 + len(__UpperCAmelCase				))     ,					)

        __UpperCamelCase      =	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)),
        # )

        __UpperCamelCase      =	self.rust_tokenizer_class.from_pretrained(
            __UpperCAmelCase     ,					use_fast=__UpperCAmelCase     ,					add_prefix_space=__UpperCAmelCase     ,					trim_offsets=__UpperCAmelCase				)
        __UpperCamelCase      =	tokenizer_r(__UpperCAmelCase     ,					return_offsets_mapping=__UpperCAmelCase     ,					add_special_tokens=__UpperCAmelCase				)
        self.assertEqual(encoding.offset_mapping[0]     ,					(1, 1 + len(__UpperCAmelCase				))				)
        self.assertEqual(
            encoding.offset_mapping[1]     ,					(1 + len(__UpperCAmelCase				) + 1, 1 + len(__UpperCAmelCase				) + 1 + len(__UpperCAmelCase				))     ,					)

        __UpperCamelCase      =	self.rust_tokenizer_class.from_pretrained(
            __UpperCAmelCase     ,					use_fast=__UpperCAmelCase     ,					add_prefix_space=__UpperCAmelCase     ,					trim_offsets=__UpperCAmelCase				)
        __UpperCamelCase      =	tokenizer_r(__UpperCAmelCase     ,					return_offsets_mapping=__UpperCAmelCase     ,					add_special_tokens=__UpperCAmelCase				)
        self.assertEqual(encoding.offset_mapping[0]     ,					(0, 1 + len(__UpperCAmelCase				))				)
        self.assertEqual(
            encoding.offset_mapping[1]     ,					(1 + len(__UpperCAmelCase				), 1 + len(__UpperCAmelCase				) + 1 + len(__UpperCAmelCase				))     ,					)

        __UpperCamelCase      =	self.rust_tokenizer_class.from_pretrained(
            __UpperCAmelCase     ,					use_fast=__UpperCAmelCase     ,					add_prefix_space=__UpperCAmelCase     ,					trim_offsets=__UpperCAmelCase				)
        __UpperCamelCase      =	tokenizer_r(__UpperCAmelCase     ,					return_offsets_mapping=__UpperCAmelCase     ,					add_special_tokens=__UpperCAmelCase				)
        self.assertEqual(encoding.offset_mapping[0]     ,					(0, 1 + len(__UpperCAmelCase				))				)
        self.assertEqual(
            encoding.offset_mapping[1]     ,					(1 + len(__UpperCAmelCase				), 1 + len(__UpperCAmelCase				) + 1 + len(__UpperCAmelCase				))     ,					)





"""simple docstring"""

from typing import Union

import fire
import torch
from tqdm import tqdm






def 							A						(    snake_case				:str    , snake_case				:str = "cpu"    , snake_case				:Union[str, None] = None		)				->     None:
 __UpperCamelCase      =	torch.load(snake_case    , map_location=snake_case		)
 for k, v in tqdm(state_dict.items()		):
  if not isinstance(snake_case    , torch.Tensor		):
   raise TypeError('FP16 conversion only works on paths that are saved state dicts, like pytorch_model.bin'		)
  __UpperCamelCase      =	v.half()
 if save_path is None:  # overwrite src_path
  __UpperCamelCase      =	src_path
 torch.save(snake_case    , snake_case		)


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



