




"""simple docstring"""

import copy
import tempfile
import unittest

from huggingface_hub import HfFolder, delete_repo
from parameterized import parameterized
from requests.exceptions import HTTPError

from transformers import AutoConfig, GenerationConfig
from transformers.testing_utils import TOKEN, USER, is_staging_test





class     lowercase_	(					unittest.TestCase							):



 '''simple docstring'''

 @parameterized.expand([(None,), ('foo.json',)]		)
 def       lowerCAmelCase_							(			self	:	List[Any]   ,							_UpperCAmelCase	:	Optional[Any]		):
       _A        =       GenerationConfig(
           do_sample=_UpperCAmelCase   ,							temperature=0.7   ,							length_penalty=1.0   ,							bad_words_ids=[[1, 2, 3], [4, 5]]   ,							)
       with tempfile.TemporaryDirectory() as tmp_dir:
             config.save_pretrained(_UpperCAmelCase   ,							config_name=_UpperCAmelCase		)
             _A        =       GenerationConfig.from_pretrained(_UpperCAmelCase   ,							config_name=_UpperCAmelCase		)

       # Checks parameters that were specified
       self.assertEqual(loaded_config.do_sample   ,							_UpperCAmelCase		)
       self.assertEqual(loaded_config.temperature   ,							0.7		)
       self.assertEqual(loaded_config.length_penalty   ,							1.0		)
       self.assertEqual(loaded_config.bad_words_ids   ,							[[1, 2, 3], [4, 5]]		)

       # Checks parameters that were not specified (defaults)
       self.assertEqual(loaded_config.top_k   ,							50		)
       self.assertEqual(loaded_config.max_length   ,							20		)
       self.assertEqual(loaded_config.max_time   ,							_UpperCAmelCase		)

 def       lowerCAmelCase_							(			self	:	Union[str, Any]		):
       _A        =       AutoConfig.from_pretrained('gpt2'		)
       _A        =       GenerationConfig.from_model_config(_UpperCAmelCase		)
       _A        =       GenerationConfig()

       # The generation config has loaded a few non-default parameters from the model config
       self.assertNotEqual(_UpperCAmelCase   ,							_UpperCAmelCase		)

       # One of those parameters is eos_token_id -- check if it matches
       self.assertNotEqual(generation_config_from_model.eos_token_id   ,							default_generation_config.eos_token_id		)
       self.assertEqual(generation_config_from_model.eos_token_id   ,							model_config.eos_token_id		)

 def       lowerCAmelCase_							(			self	:	Optional[Any]		):
       _A        =       GenerationConfig()
       _A        =       {
           'max_new_tokens': 1_024,
           'foo': 'bar',
       }
       _A        =       copy.deepcopy(_UpperCAmelCase		)
       _A        =       generation_config.update(**_UpperCAmelCase		)

       # update_kwargs was not modified (no side effects)
       self.assertEqual(_UpperCAmelCase   ,							_UpperCAmelCase		)

       # update_kwargs was used to update the config on valid attributes
       self.assertEqual(generation_config.max_new_tokens   ,							1_024		)

       # `.update()` returns a dictionary of unused kwargs
       self.assertEqual(_UpperCAmelCase   ,							{'foo': 'bar'}		)

 def       lowerCAmelCase_							(			self	:	str		):
       _A        =       GenerationConfig()
       _A        =       'bar'

       with tempfile.TemporaryDirectory('test-generation-config'		) as tmp_dir:
             generation_config.save_pretrained(_UpperCAmelCase		)

             _A        =       GenerationConfig.from_pretrained(_UpperCAmelCase		)
       # update_kwargs was used to update the config on valid attributes
       self.assertEqual(new_config.foo   ,							'bar'		)

       _A        =       GenerationConfig.from_model_config(_UpperCAmelCase		)
       assert not hasattr(_UpperCAmelCase   ,							'foo'		)  # no new kwargs should be initialized if from config



 def       lowerCAmelCase_							(			self	:	Union[str, Any]		):
       _A        =       GenerationConfig()
       self.assertEqual(default_config.temperature   ,							1.0		)
       self.assertEqual(default_config.do_sample   ,							_UpperCAmelCase		)
       self.assertEqual(default_config.num_beams   ,							1		)

       _A        =       GenerationConfig(
           do_sample=_UpperCAmelCase   ,							temperature=0.7   ,							length_penalty=1.0   ,							bad_words_ids=[[1, 2, 3], [4, 5]]   ,							)
       self.assertEqual(config.temperature   ,							0.7		)
       self.assertEqual(config.do_sample   ,							_UpperCAmelCase		)
       self.assertEqual(config.num_beams   ,							1		)

       with tempfile.TemporaryDirectory() as tmp_dir:
             config.save_pretrained(_UpperCAmelCase		)
             _A        =       GenerationConfig.from_pretrained(_UpperCAmelCase   ,							temperature=1.0		)

       self.assertEqual(loaded_config.temperature   ,							1.0		)
       self.assertEqual(loaded_config.do_sample   ,							_UpperCAmelCase		)
       self.assertEqual(loaded_config.num_beams   ,							1		)  # default value





@is_staging_test
class     lowercase_	(					unittest.TestCase							):



 '''simple docstring'''

 @classmethod
 def       lowerCAmelCase_							(			cls	:	Dict		):
       _A        =       TOKEN
       HfFolder.save_token(_UpperCAmelCase		)

 @classmethod
 def       lowerCAmelCase_							(			cls	:	List[Any]		):
       try:
             delete_repo(token=cls._token   ,							repo_id='test-generation-config'		)
       except HTTPError:
             pass

       try:
             delete_repo(token=cls._token   ,							repo_id='valid_org/test-generation-config-org'		)
       except HTTPError:
             pass

 def       lowerCAmelCase_							(			self	:	List[Any]		):
       _A        =       GenerationConfig(
           do_sample=_UpperCAmelCase   ,							temperature=0.7   ,							length_penalty=1.0   ,							)
       config.push_to_hub('test-generation-config'   ,							use_auth_token=self._token		)

       _A        =       GenerationConfig.from_pretrained(F'''{USER}/test-generation-config'''		)
       for k, v in config.to_dict().items():
             if k != "transformers_version":
                   self.assertEqual(_UpperCAmelCase   ,							getattr(_UpperCAmelCase   ,							_UpperCAmelCase		)		)

        # Reset repo
       delete_repo(token=self._token   ,							repo_id='test-generation-config'		)

       # Push to hub via save_pretrained
       with tempfile.TemporaryDirectory() as tmp_dir:
             config.save_pretrained(
                 _UpperCAmelCase   ,							repo_id='test-generation-config'   ,							push_to_hub=_UpperCAmelCase   ,							use_auth_token=self._token		)

       _A        =       GenerationConfig.from_pretrained(F'''{USER}/test-generation-config'''		)
       for k, v in config.to_dict().items():
             if k != "transformers_version":
                   self.assertEqual(_UpperCAmelCase   ,							getattr(_UpperCAmelCase   ,							_UpperCAmelCase		)		)



 def       lowerCAmelCase_							(			self	:	Any		):
       _A        =       GenerationConfig(
           do_sample=_UpperCAmelCase   ,							temperature=0.7   ,							length_penalty=1.0   ,							)
       config.push_to_hub('valid_org/test-generation-config-org'   ,							use_auth_token=self._token		)

       _A        =       GenerationConfig.from_pretrained('valid_org/test-generation-config-org'		)
       for k, v in config.to_dict().items():
             if k != "transformers_version":
                   self.assertEqual(_UpperCAmelCase   ,							getattr(_UpperCAmelCase   ,							_UpperCAmelCase		)		)

        # Reset repo
       delete_repo(token=self._token   ,							repo_id='valid_org/test-generation-config-org'		)

       # Push to hub via save_pretrained
       with tempfile.TemporaryDirectory() as tmp_dir:
             config.save_pretrained(
                 _UpperCAmelCase   ,							repo_id='valid_org/test-generation-config-org'   ,							push_to_hub=_UpperCAmelCase   ,							use_auth_token=self._token		)

       _A        =       GenerationConfig.from_pretrained('valid_org/test-generation-config-org'		)
       for k, v in config.to_dict().items():
             if k != "transformers_version":
                   self.assertEqual(_UpperCAmelCase   ,							getattr(_UpperCAmelCase   ,							_UpperCAmelCase		)		)







"""simple docstring"""

def 						_snake_case					( _snake_case							: str							)   -> str:






      '''simple docstring'''


      _A        =       ''
      for ch in key:
            if ch == " " or ch not in key_no_dups and ch.isalpha():
                  key_no_dups += ch
      return key_no_dups






def 						_snake_case					( _snake_case							: str							)   -> dict[str, str]:






      '''simple docstring'''


      _A        =       [chr(i + 65							) for i in range(26							)]
      # Remove duplicate characters from key
      _A        =       remove_duplicates(key.upper()							)
      _A        =       len(_snake_case							)
      # First fill cipher with key characters
      _A        =       {alphabet[i]: char for i, char in enumerate(_snake_case							)}
      # Then map remaining characters in alphabet to
      # the alphabet from the beginning
      for i in range(len(_snake_case							)    ,  26							):
            _A        =       alphabet[i - offset]
            # Ensure we are not mapping letters to letters previously mapped
            while char in key:
                  offset -= 1
                  _A        =       alphabet[i - offset]
            _A        =       char
      return cipher_alphabet






def 						_snake_case					( _snake_case							: str    ,  _snake_case							: dict[str, str]							)   -> str:






      '''simple docstring'''


      return "".join(cipher_map.get(_snake_case    ,  _snake_case							) for ch in message.upper()							)






def 						_snake_case					( _snake_case							: str    ,  _snake_case							: dict[str, str]							)   -> str:






      '''simple docstring'''


      _A        =       {v: k for k, v in cipher_map.items()}
      return "".join(rev_cipher_map.get(_snake_case    ,  _snake_case							) for ch in message.upper()							)






def 						_snake_case					( )   -> None:






      '''simple docstring'''


      _A        =       input('Enter message to encode or decode: '							).strip()
      _A        =       input('Enter keyword: '							).strip()
      _A        =       input('Encipher or decipher? E/D:'							).strip()[0].lower()
      try:
            _A        =       {'e': encipher, 'd': decipher}[option]
      except KeyError:
            raise KeyError('invalid input option'							)
      _A        =       create_cipher_map(_snake_case							)
      print(func(_snake_case    ,  _snake_case							)							)


if __name__ == "__main__":
       import doctest

       doctest.testmod()
       main()

