Python/strings/detecting_english_programmatically.py
SwayamSahu de3271ec80
Refactoring the syntax using list comprehension (#7749)
* Refactoring the syntax using list comprehension

* Update detecting_english_programmatically.py

* Update detecting_english_programmatically.py

Co-authored-by: Christian Clauss <cclauss@me.com>
2022-10-27 23:02:15 +02:00

51 lines
1.4 KiB
Python

import os
from string import ascii_letters
LETTERS_AND_SPACE = ascii_letters + " \t\n"
def load_dictionary() -> dict[str, None]:
path = os.path.split(os.path.realpath(__file__))
english_words: dict[str, None] = {}
with open(path[0] + "/dictionary.txt") as dictionary_file:
for word in dictionary_file.read().split("\n"):
english_words[word] = None
return english_words
ENGLISH_WORDS = load_dictionary()
def get_english_count(message: str) -> float:
message = message.upper()
message = remove_non_letters(message)
possible_words = message.split()
matches = len([word for word in possible_words if word in ENGLISH_WORDS])
return float(matches) / len(possible_words)
def remove_non_letters(message: str) -> str:
return "".join(symbol for symbol in message if symbol in LETTERS_AND_SPACE)
def is_english(
message: str, word_percentage: int = 20, letter_percentage: int = 85
) -> bool:
"""
>>> is_english('Hello World')
True
>>> is_english('llold HorWd')
False
"""
words_match = get_english_count(message) * 100 >= word_percentage
num_letters = len(remove_non_letters(message))
message_letters_percentage = (float(num_letters) / len(message)) * 100
letters_match = message_letters_percentage >= letter_percentage
return words_match and letters_match
if __name__ == "__main__":
import doctest
doctest.testmod()