code: from datetime import date
  
  import requests
  
  lowerCamelCase__           =				'https://api.carbonintensity.org.uk/intensity'
  
  
  
  def 							_lowerCamelCase(				)  ->   str:
  		__snake_case		       =     requests.get(__snake_case	).json()["data"][0]
  		return last_half_hour["intensity"]["actual"]
  
  
  
  def 							_lowerCamelCase(				__snake_case						,						__snake_case	)  ->   list:
  		return requests.get(f"""{BASE_URL}/{start}/{end}"""	).json()["data"]
  
  
  if __name__ == "__main__":
  		for entry in fetch_from_to(start=date(20_20, 10, 1), end=date(20_20, 10, 3)):
  				print('from {from} to {to}: {intensity[actual]}'.format(**entry))
  		print(F"{fetch_last_half_hour() = }")
  
  
  
  
  
  
style_context: import os
  from string import ascii_letters
  
  lowerCamelCase__           =				ascii_letters + ' \t\n'
  
  
  
  def 							_lowerCamelCase(				)  ->   dict[str, None]:
  		__snake_case		       =     os.path.split(os.path.realpath(__snake_case	)	)
  		__snake_case		       =     {}
  		with open(path[0] + "/dictionary.txt"	) as dictionary_file:
  				for word in dictionary_file.read().split("\n"	):
  						__snake_case		       =     None
  		return english_words
  
  
  lowerCamelCase__           =				load_dictionary()
  
  
  
  def 							_lowerCamelCase(				__snake_case	)  ->   float:
  		__snake_case		       =     message.upper()
  		__snake_case		       =     remove_non_letters(__snake_case	)
  		__snake_case		       =     message.split()
  		__snake_case		       =     len([word for word in possible_words if word in ENGLISH_WORDS]	)
  		return float(__snake_case	) / len(__snake_case	)
  
  
  
  def 							_lowerCamelCase(				__snake_case	)  ->   str:
  		return "".join(symbol for symbol in message if symbol in LETTERS_AND_SPACE	)
  
  
  
  def 							_lowerCamelCase(				__snake_case						,						__snake_case = 20						,						__snake_case = 85	)  ->   bool:
  		__snake_case		       =     get_english_count(__snake_case	) * 100 >= word_percentage
  		__snake_case		       =     len(remove_non_letters(__snake_case	)	)
  		__snake_case		       =     (float(__snake_case	) / len(__snake_case	)) * 100
  		__snake_case		       =     message_letters_percentage >= letter_percentage
  		return words_match and letters_match
  
  
  if __name__ == "__main__":
  		import doctest
  
  		doctest.testmod()
  
  
  
  
  
  