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>>> help(str.split) Help on method_descriptor: split(...) s. split(sep=None, maxsplit=-1) -> list of strings Return a list of the tokens in S, using sep as the delimiter string. If maxsplit is given, at most maxsplit splits are done. If sep is not specified or is None, any whitespace string is a separator and empty strings are removed from the result. Read the last sentence of that description carefully. If a variable training text represents a file open for reading, then training text.read() returns a string containing the entire contents of the file. You ca use the str method split to make your list. Complete the function below according to its docstring description. 1 from typing import TextIO 3 def get_words (training_text: TextI0) -> list[str]: 4. "*"Return a new list containing the words from training_text in the 5. same order as they appear in training text.

>>> help(str.split) Help on method_descriptor: split(...) s. split(sep=None, maxsplit=-1) -> list of strings Return a list of the tokens in S, using sep as the delimiter string. If maxsplit is given, at most maxsplit splits are done. If sep is not specified or is None, any whitespace string is a separator and empty strings are removed from the result. Read the last sentence of that description carefully. If a variable training text represents a file open for reading, then training text.read() returns a string containing the entire contents of the file. You ca use the str method split to make your list. Complete the function below according to its docstring description. 1 from typing import TextIO 3 def get_words (training_text: TextI0) -> list[str]: 4. "*"Return a new list containing the words from training_text in the 5. same order as they appear in training text.

Database System Concepts
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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>>> help(str.split) Help on method_descriptor: split(...) S. split(sep=None, maxsplit=-1) -> list of strings Return a list of the tokens in S, using sep as the delimiter string. If maxsplit is given, at most maxsplit splits are done. If sep is not specified or is None, any whitespace string is a separator and empty strings are removed from the result. Read the last sentence of that description carefully. If a variable training_text represents a file open for reading, then training_text.read() returns a string containing the entire contents of the file. You can use the str method split to make your list. Complete the function below according to its docstring description. 1 from typing import TextIO 2 def get_words(training_text: TextI0) -> 1ist[str]: 4 """Return a new list containing the words from training_text in the same order as they appear in training_text.
Transcribed Image Text:>>> help(str.split) Help on method_descriptor: split(...) S. split(sep=None, maxsplit=-1) -> list of strings Return a list of the tokens in S, using sep as the delimiter string. If maxsplit is given, at most maxsplit splits are done. If sep is not specified or is None, any whitespace string is a separator and empty strings are removed from the result. Read the last sentence of that description carefully. If a variable training_text represents a file open for reading, then training_text.read() returns a string containing the entire contents of the file. You can use the str method split to make your list. Complete the function below according to its docstring description. 1 from typing import TextIO 2 def get_words(training_text: TextI0) -> 1ist[str]: 4 """Return a new list containing the words from training_text in the same order as they appear in training_text.
We will represent the words in the original story (the training text) as a list of strings. You'll need to read the words in the training text file and create that list. This string method will help:
Transcribed Image Text:We will represent the words in the original story (the training text) as a list of strings. You'll need to read the words in the training text file and create that list. This string method will help:
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