

'''simple docstring'''


from __future__ import annotations

import math
from collections import Counter
from string import ascii_lowercase




def 	_a       (				__lowerCAmelCase		:      str     ):

		"""simple docstring"""

		snake_case__						,       snake_case__						:       Tuple       						=  analyze_text(__lowerCAmelCase     )
		snake_case__						:       List[str]       						=  list(''' ''' + ascii_lowercase     )
		# what is our total sum of probabilities.
		snake_case__						:       List[Any]       						=  sum(single_char_strings.values()     )

		# one length string
		snake_case__						:       int       						=  0
		# for each alpha we go in our dict and if it is in it we calculate entropy
		for ch in my_alphas:
				if ch in single_char_strings:
						snake_case__						:       Any       						=  single_char_strings[ch]
						snake_case__						:       Dict       						=  my_str / all_sum
						my_fir_sum += prob * math.loga(__lowerCAmelCase     )  # entropy formula.

    # print entropy
		print(F"""{round(-1 * my_fir_sum     ):.1f}"""     )

		# two len string
		snake_case__						:       Any       						=  sum(two_char_strings.values()     )
		snake_case__						:       int       						=  0
		# for each alpha (two in size) calculate entropy.
		for cha in my_alphas:
				for cha in my_alphas:
						snake_case__						:       Any       						=  cha + cha
						if sequence in two_char_strings:
								snake_case__						:       List[Any]       						=  two_char_strings[sequence]
								snake_case__						:       str       						=  int(__lowerCAmelCase     ) / all_sum
								my_sec_sum += prob * math.loga(__lowerCAmelCase     )

    # print second entropy
		print(F"""{round(-1 * my_sec_sum     ):.1f}"""     )

		# print the difference between them
		print(F"""{round((-1 * my_sec_sum) - (-1 * my_fir_sum)     ):.1f}"""     )




def 	_a       (				__lowerCAmelCase		:      str     ):

		"""simple docstring"""

		snake_case__						:       Optional[Any]       						=  Counter()  # type: ignore
		snake_case__						:       int       						=  Counter()  # type: ignore
		single_char_strings[text[-1]] += 1

		# first case when we have space at start.
		two_char_strings[" " + text[0]] += 1
		for i in range(0   ,							len(__lowerCAmelCase     ) - 1     ):
				single_char_strings[text[i]] += 1
				two_char_strings[text[i : i + 2]] += 1
		return single_char_strings, two_char_strings




def 	_a       (				):

		"""simple docstring"""

		import doctest

		doctest.testmod()
		# text = (
		#     "Had repulsive dashwoods suspicion sincerity but advantage now him. Remark "
		#     "easily garret nor nay. Civil those mrs enjoy shy fat merry. You greatest "
		#     "jointure saw horrible. He private he on be imagine suppose. Fertile "
		#     "beloved evident through no service elderly is. Blind there if every no so "
		#     "at. Own neglected you preferred way sincerity delivered his attempted. To "
		#     "of message cottage windows do besides against uncivil.  Delightful "
		#     "unreserved impossible few estimating men favourable see entreaties. She "
		#     "propriety immediate was improving. He or entrance humoured likewise "
		#     "moderate. Much nor game son say feel. Fat make met can must form into "
		#     "gate. Me we offending prevailed discovery. "
		# )

		# calculate_prob(text)


if __name__ == "__main__":
					main()






'''simple docstring'''


import copy
import json
import os
import tempfile

from transformers import is_torch_available

from .test_configuration_utils import config_common_kwargs




class     a			(				SCREAMING_SNAKE_CASE       ):






						"""simple docstring"""




						def __init__(							self					:      Dict			,			snake_case_					:      str			,			snake_case_					:      Optional[int]=None			,			snake_case_					:      List[Any]=True			,			snake_case_					:      Any=None			,			**snake_case_					:      List[str]  ):



								'''simple docstring'''



								snake_case__						:       Any       						=  parent
								snake_case__						:       List[Any]       						=  config_class
								snake_case__						:       Optional[int]       						=  has_text_modality
								snake_case__						:       str       						=  kwargs
								snake_case__						:       Dict       						=  common_properties







						def       __magic_name__							(							self					:      str  ):



								'''simple docstring'''



								snake_case__						:       Tuple       						=  self.config_class(**self.inputs_dict  )
								snake_case__						:       List[Any]       						=  (
								    ['''hidden_size''', '''num_attention_heads''', '''num_hidden_layers''']
								    if self.common_properties is None
								    else self.common_properties
								)

								# Add common fields for text models
								if self.has_text_modality:
										common_properties.extend(['''vocab_size''']  )

								# Test that config has the common properties as getters
								for prop in common_properties:
										self.parent.assertTrue(hasattr(snake_case_			,			snake_case_  )			,			msg=F"""`{prop}` does not exist"""  )

								# Test that config has the common properties as setter
								for idx, name in enumerate(snake_case_  ):
										try:
												setattr(snake_case_			,			snake_case_			,			snake_case_  )
												self.parent.assertEqual(
												    getattr(snake_case_			,			snake_case_  )			,			snake_case_			,			msg=F"""`{name} value {idx} expected, but was {getattr(snake_case_			,			snake_case_  )}"""  )
										except NotImplementedError:
												# Some models might not be able to implement setters for common_properties
												# In that case, a NotImplementedError is raised
												pass

        # Test if config class can be called with Config(prop_name=..)
								for idx, name in enumerate(snake_case_  ):
										try:
												snake_case__						:       Dict       						=  self.config_class(**{name: idx}  )
												self.parent.assertEqual(
												    getattr(snake_case_			,			snake_case_  )			,			snake_case_			,			msg=F"""`{name} value {idx} expected, but was {getattr(snake_case_			,			snake_case_  )}"""  )
										except NotImplementedError:
												# Some models might not be able to implement setters for common_properties
												# In that case, a NotImplementedError is raised
												pass







						def       __magic_name__							(							self					:      int  ):



								'''simple docstring'''



								snake_case__						:       Tuple       						=  self.config_class(**self.inputs_dict  )
								snake_case__						:       str       						=  json.loads(config.to_json_string()  )
								for key, value in self.inputs_dict.items():
										self.parent.assertEqual(obj[key]			,			snake_case_  )







						def       __magic_name__							(							self					:      Union[str, Any]  ):



								'''simple docstring'''



								snake_case__						:       Optional[int]       						=  self.config_class(**self.inputs_dict  )

								with tempfile.TemporaryDirectory() as tmpdirname:
										snake_case__						:       List[Any]       						=  os.path.join(snake_case_			,			'''config.json'''  )
										config_first.to_json_file(snake_case_  )
										snake_case__						:       Dict       						=  self.config_class.from_json_file(snake_case_  )

								self.parent.assertEqual(config_second.to_dict()			,			config_first.to_dict()  )







						def       __magic_name__							(							self					:      Dict  ):



								'''simple docstring'''



								snake_case__						:       int       						=  self.config_class(**self.inputs_dict  )

								with tempfile.TemporaryDirectory() as tmpdirname:
										config_first.save_pretrained(snake_case_  )
										snake_case__						:       Optional[Any]       						=  self.config_class.from_pretrained(snake_case_  )

								self.parent.assertEqual(config_second.to_dict()			,			config_first.to_dict()  )







						def       __magic_name__							(							self					:      str  ):



								'''simple docstring'''



								snake_case__						:       int       						=  self.config_class(**self.inputs_dict  )

								snake_case__						:       str       						=  '''test'''
								with tempfile.TemporaryDirectory() as tmpdirname:
										snake_case__						:       List[str]       						=  os.path.join(snake_case_			,			snake_case_  )
										config_first.save_pretrained(snake_case_  )
										snake_case__						:       List[str]       						=  self.config_class.from_pretrained(snake_case_			,			subfolder=snake_case_  )

								self.parent.assertEqual(config_second.to_dict()			,			config_first.to_dict()  )







						def       __magic_name__							(							self					:      Dict  ):



								'''simple docstring'''



								snake_case__						:       Any       						=  self.config_class(**self.inputs_dict			,			num_labels=5  )
								self.parent.assertEqual(len(config.idalabel  )			,			5  )
								self.parent.assertEqual(len(config.labelaid  )			,			5  )

								snake_case__						:       List[Any]       						=  3
								self.parent.assertEqual(len(config.idalabel  )			,			3  )
								self.parent.assertEqual(len(config.labelaid  )			,			3  )







						def       __magic_name__							(							self					:      Optional[int]  ):



								'''simple docstring'''



								if self.config_class.is_composition:
										return
								snake_case__						:       Any       						=  self.config_class()
								self.parent.assertIsNotNone(snake_case_  )







						def       __magic_name__							(							self					:      int  ):



								'''simple docstring'''



								snake_case__						:       Optional[Any]       						=  copy.deepcopy(snake_case_  )
								snake_case__						:       Union[str, Any]       						=  self.config_class(**snake_case_  )
								snake_case__						:       List[str]       						=  []
								for key, value in config_common_kwargs.items():
										if key == "torch_dtype":
												if not is_torch_available():
														continue
												else:
														import torch

														if config.torch_dtype != torch.floataa:
																wrong_values.append(('''torch_dtype''', config.torch_dtype, torch.floataa)  )
										elif getattr(snake_case_			,			snake_case_  ) != value:
												wrong_values.append((key, getattr(snake_case_			,			snake_case_  ), value)  )

								if len(snake_case_  ) > 0:
										snake_case__						:       Dict       						=  '''\n'''.join([F"""- {v[0]}: got {v[1]} instead of {v[2]}""" for v in wrong_values]  )
										raise ValueError(F"""The following keys were not properly set in the config:\n{errors}"""  )







						def       __magic_name__							(							self					:      Union[str, Any]  ):



								'''simple docstring'''



								self.create_and_test_config_common_properties()
								self.create_and_test_config_to_json_string()
								self.create_and_test_config_to_json_file()
								self.create_and_test_config_from_and_save_pretrained()
								self.create_and_test_config_from_and_save_pretrained_subfolder()
								self.create_and_test_config_with_num_labels()
								self.check_config_can_be_init_without_params()
								self.check_config_arguments_init()



