Question

5 Read and match. You can getfrom beker'sIn2 You can getfrom -13 You can getfrom2y You can getfrom3​

Answer 1

Ответ:

Объяснение:

You can get from baker's. - пекарный (магазин)

2. You can get from butcher's. - мясной (магазин)

3. You can get from vegetable's. - овощной (магазин)

4. You can get from souvenir's. - сувенирный (магазин)

Answer 2

The question seems to be asking about matching patterns in text. Based on the search results, it seems like you might be looking for a way to match patterns in a string using a programming language. In this case, we'll use Python as an example.

In Python, you can use regular expressions (regex) to match patterns in a string. The `re` module in Python provides support for regular expressions, and the `match()` function can be used to determine if a string matches a specified pattern.

Here is an example of how you can use the `match()` function:

import re

def match_pattern(text, pattern):
   if re.match(pattern, text):
       return True
   else:
       return False

print(match_pattern("You can get from beker's In2", "You can get from beker's In\d+")) # Returns: True
print(match_pattern("You can get from -13", "You can get from beker's In\d+")) # Returns: False

In this example, the function `match_pattern` takes a text and a pattern as arguments. It then uses the `re.match()` function to check if the text matches the pattern. The pattern "You can get from beker's In\d+" is a regular expression that matches any string that starts with "You can get from beker's In" followed by one or more digits.

The `\d` in the pattern is a special sequence that matches any digit, and the `+` means one or more of the preceding element. So, `\d+` matches one or more digits.

The function returns `True` if the text matches the pattern, and `False` otherwise.

You can use this function to match other patterns as well. For example, you can modify the pattern to match the string "You can get from 2y" or "You can get from 3".

This is a basic example, and regular expressions can be much more complex. You can use them to match a wide variety of patterns, including specific sequences of characters, character ranges, repetitions, and more.

For more information on regular expressions in Python, you can refer to the [Python documentation on regular expressions](https://docs.python.org/3/library/re.html).