






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 					SCREAMING_SNAKE_CASE_  (       unittest.TestCase ):
       """simple docstring"""


       @parameterized.expand([(None,), ('foo.json',)])
       def 				UpperCamelCase__						(				self	:Dict,      snake_case	:str):



          """simple docstring"""

          _lowercase              =GenerationConfig(
              do_sample=snake_case,      temperature=0.7,      length_penalty=1.0,      bad_words_ids=[[1, 2, 3], [4, 5]],      )
          with tempfile.TemporaryDirectory() as tmp_dir:
             config.save_pretrained(snake_case,      config_name=snake_case)
             _lowercase              =GenerationConfig.from_pretrained(snake_case,      config_name=snake_case)

          # Checks parameters that were specified
          self.assertEqual(loaded_config.do_sample,      snake_case)
          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,      snake_case)





       def 				UpperCamelCase__						(				self	:Optional[int]):



          """simple docstring"""

          _lowercase              =AutoConfig.from_pretrained('gpt2')
          _lowercase              =GenerationConfig.from_model_config(snake_case)
          _lowercase              =GenerationConfig()

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

          # 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 				UpperCamelCase__						(				self	:List[Any]):



          """simple docstring"""

          _lowercase              =GenerationConfig()
          _lowercase              ={
              'max_new_tokens': 1024,
              'foo': 'bar',
          }
          _lowercase              =copy.deepcopy(snake_case)
          _lowercase              =generation_config.update(**snake_case)

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

          # update_kwargs was used to update the config on valid attributes
          self.assertEqual(generation_config.max_new_tokens,      1024)

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





       def 				UpperCamelCase__						(				self	:Any):



          """simple docstring"""

          _lowercase              =GenerationConfig()
          _lowercase              ='bar'

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

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

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





       def 				UpperCamelCase__						(				self	:Optional[Any]):



          """simple docstring"""

          _lowercase              =GenerationConfig()
          self.assertEqual(default_config.temperature,      1.0)
          self.assertEqual(default_config.do_sample,      snake_case)
          self.assertEqual(default_config.num_beams,      1)

          _lowercase              =GenerationConfig(
              do_sample=snake_case,      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,      snake_case)
          self.assertEqual(config.num_beams,      1)

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

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






@is_staging_test
class 					SCREAMING_SNAKE_CASE_  (       unittest.TestCase ):
       """simple docstring"""


       @classmethod
       def 				UpperCamelCase__						(				cls	:Union[str, Any]):



          """simple docstring"""

          _lowercase              =TOKEN
          HfFolder.save_token(snake_case)





       @classmethod
       def 				UpperCamelCase__						(				cls	:Optional[Any]):



          """simple docstring"""

          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 				UpperCamelCase__						(				self	:int):



          """simple docstring"""

          _lowercase              =GenerationConfig(
              do_sample=snake_case,      temperature=0.7,      length_penalty=1.0,      )
          config.push_to_hub('test-generation-config',      use_auth_token=self._token)

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

        # 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(
                 snake_case,      repo_id='test-generation-config',      push_to_hub=snake_case,      use_auth_token=self._token)

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





       def 				UpperCamelCase__						(				self	:Tuple):



          """simple docstring"""

          _lowercase              =GenerationConfig(
              do_sample=snake_case,      temperature=0.7,      length_penalty=1.0,      )
          config.push_to_hub('valid_org/test-generation-config-org',      use_auth_token=self._token)

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

        # 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(
                 snake_case,      repo_id='valid_org/test-generation-config-org',      push_to_hub=snake_case,      use_auth_token=self._token)

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










from math import sqrt

import numpy as np
from sympy import symbols

# Coefficient
# Speed of light (m/s)
_SCREAMING_SNAKE_CASE   =  2_99_79_24_58

# Symbols
_SCREAMING_SNAKE_CASE  ,	_SCREAMING_SNAKE_CASE  ,	_SCREAMING_SNAKE_CASE  ,	_SCREAMING_SNAKE_CASE   =  symbols("ct x y z")





def        _snake_case   (_snake_case				:       float)					->	float:
   if velocity > c:
      raise ValueError('Speed must not exceed light speed 299,792,458 [m/s]!')
   elif velocity < 1:
      # Usually the speed should be much higher than 1 (c order of magnitude)
      raise ValueError('Speed must be greater than or equal to 1!')

   return velocity / c





def        _snake_case   (_snake_case				:       float)					->	float:
   return 1 / sqrt(1 - beta(_snake_case) ** 2)





def        _snake_case   (_snake_case				:       float)					->	np.ndarray:
   return np.array(
       [
           [gamma(_snake_case), -gamma(_snake_case) * beta(_snake_case), 0, 0],
           [-gamma(_snake_case) * beta(_snake_case), gamma(_snake_case), 0, 0],
           [0, 0, 1, 0],
           [0, 0, 0, 1],
       ])





def        _snake_case   (_snake_case				:       float      ,    _snake_case				:       np.ndarray | None = None)					->	np.ndarray:
   # Ensure event is not empty
   if event is None:
      _lowercase              =np.array([ct, x, y, z])  # Symbolic four vector
   else:
      event[0] *= c  # x0 is ct (speed of light * time)

   return transformation_matrix(_snake_case) @ event


if __name__ == "__main__":
    import doctest

    doctest.testmod()

    # Example of symbolic vector:
    _SCREAMING_SNAKE_CASE   =  transform(29_97_92_45)
    print("Example of four vector: ")
    print(f'''ct\' = {four_vector[0]}''')
    print(f'''x\' = {four_vector[1]}''')
    print(f'''y\' = {four_vector[2]}''')
    print(f'''z\' = {four_vector[3]}''')

    # Substitute symbols with numerical values
    _SCREAMING_SNAKE_CASE   =  {ct: c, x: 1, y: 1, z: 1}
    _SCREAMING_SNAKE_CASE   =  [four_vector[i].subs(sub_dict) for i in range(4)]

    print(f'''\n{numerical_vector}''')


