

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       SCREAMING_SNAKE_CASE__					(__snake_case		,       unittest.TestCase     ):
    __lowerCamelCase						:       List[Any]														=     RobertaTokenizer
    __lowerCamelCase						:       int														=     RobertaTokenizerFast
    __lowerCamelCase						:       Optional[Any]														=     True
    __lowerCamelCase						:       str														=     {"""cls_token""": """<s>"""}





    def       snake_case_				(      self):
         super().setUp()

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

         lowercase__    :   List[Any]      =       os.path.join(self.tmpdirname						,   VOCAB_FILES_NAMES['vocab_file'])
         lowercase__    :   Optional[int]      =       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(a) + '\n')
         with open(self.merges_file						,   'w'						,   encoding='utf-8') as fp:
              fp.write('\n'.join(a))





    def       snake_case_				(      self						,   **a):
         kwargs.update(self.special_tokens_map)
         return self.tokenizer_class.from_pretrained(self.tmpdirname						,   **a)





    def       snake_case_				(      self						,   **a):
         kwargs.update(self.special_tokens_map)
         return RobertaTokenizerFast.from_pretrained(self.tmpdirname						,   **a)





    def       snake_case_				(      self						,   a):
         lowercase__    :   Any      =       'lower newer'
         lowercase__    :   int      =       'lower newer'
         return input_text, output_text





    def       snake_case_				(      self):
         lowercase__    :   Optional[int]      =       self.tokenizer_class(self.vocab_file						,   self.merges_file						,   **self.special_tokens_map)
         lowercase__    :   Any      =       'lower newer'
         lowercase__    :   Optional[int]      =       ['l', 'o', 'w', 'er', '\u0120', 'n', 'e', 'w', 'er']
         lowercase__    :   Tuple      =       tokenizer.tokenize(a)  # , add_prefix_space=True)
         self.assertListEqual(a						,   a)

         lowercase__    :   Tuple      =       tokens + [tokenizer.unk_token]
         lowercase__    :   List[Any]      =       [0, 1, 2, 15, 10, 9, 3, 2, 15, 19]
         self.assertListEqual(tokenizer.convert_tokens_to_ids(a)						,   a)





    def       snake_case_				(      self):
         lowercase__    :   str      =       self.get_tokenizer()

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





    @slow
    def       snake_case_				(      self):
         lowercase__    :   List[Any]      =       self.tokenizer_class.from_pretrained('roberta-base')

         lowercase__    :   str      =       tokenizer.encode('sequence builders'						,   add_special_tokens=a)
         lowercase__    :   Any      =       tokenizer.encode('multi-sequence build'						,   add_special_tokens=a)

         lowercase__    :   str      =       tokenizer.encode(
             'sequence builders'						,   add_special_tokens=a						,   add_prefix_space=a)
         lowercase__    :   Any      =       tokenizer.encode(
             'sequence builders'						,   'multi-sequence build'						,   add_special_tokens=a						,   add_prefix_space=a)

         lowercase__    :   Any      =       tokenizer.build_inputs_with_special_tokens(a)
         lowercase__    :   Tuple      =       tokenizer.build_inputs_with_special_tokens(a						,   a)

         assert encoded_sentence == encoded_text_from_decode
         assert encoded_pair == encoded_pair_from_decode





    def       snake_case_				(      self):
         lowercase__    :   List[str]      =       self.get_tokenizer()

         lowercase__    :   Optional[Any]      =       'Encode this sequence.'
         lowercase__    :   Any      =       tokenizer.byte_encoder[' '.encode('utf-8')[0]]

         # Testing encoder arguments
         lowercase__    :   Optional[Any]      =       tokenizer.encode(a						,   add_special_tokens=a						,   add_prefix_space=a)
         lowercase__    :   Optional[Any]      =       tokenizer.convert_ids_to_tokens(encoded[0])[0]
         self.assertNotEqual(a						,   a)

         lowercase__    :   List[str]      =       tokenizer.encode(a						,   add_special_tokens=a						,   add_prefix_space=a)
         lowercase__    :   Any      =       tokenizer.convert_ids_to_tokens(encoded[0])[0]
         self.assertEqual(a						,   a)

         tokenizer.add_special_tokens({'bos_token': '<s>'})
         lowercase__    :   Optional[int]      =       tokenizer.encode(a						,   add_special_tokens=a)
         lowercase__    :   Tuple      =       tokenizer.convert_ids_to_tokens(encoded[1])[0]
         self.assertNotEqual(a						,   a)

         # Testing spaces after special tokens
         lowercase__    :   int      =       '<mask>'
         tokenizer.add_special_tokens(
             {'mask_token': AddedToken(a						,   lstrip=a						,   rstrip=a)})  # mask token has a left space
         lowercase__    :   List[Any]      =       tokenizer.convert_tokens_to_ids(a)

         lowercase__    :   Optional[int]      =       'Encode <mask> sequence'
         lowercase__    :   Union[str, Any]      =       'Encode <mask>sequence'

         lowercase__    :   Dict      =       tokenizer.encode(a)
         lowercase__    :   Optional[int]      =       encoded.index(a)
         lowercase__    :   Tuple      =       tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1])[0]
         self.assertEqual(a						,   a)

         lowercase__    :   Optional[Any]      =       tokenizer.encode(a)
         lowercase__    :   List[str]      =       encoded.index(a)
         lowercase__    :   Optional[Any]      =       tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1])[0]
         self.assertNotEqual(a						,   a)





    def       snake_case_				(      self):
         pass





    def       snake_case_				(      self):
         for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
              with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})"""):
                   lowercase__    :   Dict      =       self.rust_tokenizer_class.from_pretrained(a						,   **a)
                   lowercase__    :   int      =       self.tokenizer_class.from_pretrained(a						,   **a)
                   lowercase__    :   Any      =       'A, <mask> AllenNLP sentence.'
                   lowercase__    :   Union[str, Any]      =       tokenizer_r.encode_plus(a						,   add_special_tokens=a						,   return_token_type_ids=a)
                   lowercase__    :   Any      =       tokenizer_p.encode_plus(a						,   add_special_tokens=a						,   return_token_type_ids=a)

                   # 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'])						,   )

                   lowercase__    :   Dict      =       tokenizer_r.convert_ids_to_tokens(tokens_r['input_ids'])
                   lowercase__    :   Tuple      =       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(
                       a						,   ['<s>', 'A', ',', '<mask>', 'ĠAllen', 'N', 'LP', 'Ġsentence', '.', '</s>'])
                   self.assertSequenceEqual(
                       a						,   ['<s>', 'A', ',', '<mask>', 'ĠAllen', 'N', 'LP', 'Ġsentence', '.', '</s>'])





    def       snake_case_				(      self):
         for trim_offsets, add_prefix_space in itertools.product([True, False]						,   repeat=2):
              lowercase__    :   List[str]      =       self.rust_tokenizer_class.from_pretrained(
                  self.tmpdirname						,   use_fast=a						,   add_prefix_space=a						,   trim_offsets=a)

              lowercase__    :   Tuple      =       json.loads(tokenizer_r.backend_tokenizer.pre_tokenizer.__getstate__())
              lowercase__    :   Dict      =       json.loads(tokenizer_r.backend_tokenizer.post_processor.__getstate__())

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

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





    def       snake_case_				(      self):
         # Test which aims to verify that the offsets are well adapted to the argument `add_prefix_space` and
         # `trim_offsets`
         for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
              with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})"""):
                   lowercase__    :   List[Any]      =       'hello'  # `hello` is a token in the vocabulary of `pretrained_name`
                   lowercase__    :   Any      =       f"""{text_of_1_token} {text_of_1_token}"""

                   lowercase__    :   int      =       self.rust_tokenizer_class.from_pretrained(
                       a						,   use_fast=a						,   add_prefix_space=a						,   trim_offsets=a)
                   lowercase__    :   str      =       tokenizer_r(a						,   return_offsets_mapping=a						,   add_special_tokens=a)
                   self.assertEqual(encoding.offset_mapping[0]						,   (0, len(a)))
                   self.assertEqual(
                       encoding.offset_mapping[1]						,   (len(a) + 1, len(a) + 1 + len(a))						,   )

                   lowercase__    :   List[str]      =       self.rust_tokenizer_class.from_pretrained(
                       a						,   use_fast=a						,   add_prefix_space=a						,   trim_offsets=a)
                   lowercase__    :   Optional[int]      =       tokenizer_r(a						,   return_offsets_mapping=a						,   add_special_tokens=a)
                   self.assertEqual(encoding.offset_mapping[0]						,   (0, len(a)))
                   self.assertEqual(
                       encoding.offset_mapping[1]						,   (len(a) + 1, len(a) + 1 + len(a))						,   )

                   lowercase__    :   int      =       self.rust_tokenizer_class.from_pretrained(
                       a						,   use_fast=a						,   add_prefix_space=a						,   trim_offsets=a)
                   lowercase__    :   Tuple      =       tokenizer_r(a						,   return_offsets_mapping=a						,   add_special_tokens=a)
                   self.assertEqual(encoding.offset_mapping[0]						,   (0, len(a)))
                   self.assertEqual(
                       encoding.offset_mapping[1]						,   (len(a), len(a) + 1 + len(a))						,   )

                   lowercase__    :   Optional[Any]      =       self.rust_tokenizer_class.from_pretrained(
                       a						,   use_fast=a						,   add_prefix_space=a						,   trim_offsets=a)
                   lowercase__    :   Optional[int]      =       tokenizer_r(a						,   return_offsets_mapping=a						,   add_special_tokens=a)
                   self.assertEqual(encoding.offset_mapping[0]						,   (0, len(a)))
                   self.assertEqual(
                       encoding.offset_mapping[1]						,   (len(a), len(a) + 1 + len(a))						,   )

                   lowercase__    :   Union[str, Any]      =       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)),
                   # )

                   lowercase__    :   Optional[int]      =       self.rust_tokenizer_class.from_pretrained(
                       a						,   use_fast=a						,   add_prefix_space=a						,   trim_offsets=a)
                   lowercase__    :   Dict      =       tokenizer_r(a						,   return_offsets_mapping=a						,   add_special_tokens=a)
                   self.assertEqual(encoding.offset_mapping[0]						,   (1, 1 + len(a)))
                   self.assertEqual(
                       encoding.offset_mapping[1]						,   (1 + len(a) + 1, 1 + len(a) + 1 + len(a))						,   )

                   lowercase__    :   int      =       self.rust_tokenizer_class.from_pretrained(
                       a						,   use_fast=a						,   add_prefix_space=a						,   trim_offsets=a)
                   lowercase__    :   List[str]      =       tokenizer_r(a						,   return_offsets_mapping=a						,   add_special_tokens=a)
                   self.assertEqual(encoding.offset_mapping[0]						,   (0, 1 + len(a)))
                   self.assertEqual(
                       encoding.offset_mapping[1]						,   (1 + len(a), 1 + len(a) + 1 + len(a))						,   )

                   lowercase__    :   str      =       self.rust_tokenizer_class.from_pretrained(
                       a						,   use_fast=a						,   add_prefix_space=a						,   trim_offsets=a)
                   lowercase__    :   int      =       tokenizer_r(a						,   return_offsets_mapping=a						,   add_special_tokens=a)
                   self.assertEqual(encoding.offset_mapping[0]						,   (0, 1 + len(a)))
                   self.assertEqual(
                       encoding.offset_mapping[1]						,   (1 + len(a), 1 + len(a) + 1 + len(a))						,   )




def 	snake_case__			(    SCREAMING_SNAKE_CASE_		:    str			):



     '''simple docstring'''





     if not all(x.isalpha() for x in string			):
          raise ValueError('String must only contain alphabetic characters.'			)

     lowercase__    :   Optional[int]      =       sorted(string.lower()			)
     return len(SCREAMING_SNAKE_CASE_			) == len(set(SCREAMING_SNAKE_CASE_			)			)


if __name__ == "__main__":
       snake_case_			  = input('''Enter a string ''').strip()

       snake_case_			  = is_isogram(input_str)
       print(F'''{input_str} is {'an' if isogram else 'not an'} isogram.''')

