> For the complete documentation index, see [llms.txt](https://docs.verygoodsecurity.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.verygoodsecurity.com/vault/developer-tools/larky/library-api/string.md).

# string

A collection of string operations (most are no longer used).

Warning: most of the code you see here isn't normally used nowadays. Beginning with Python 1.6, many of these functions are implemented as methods on the standard string object. They used to be implemented by a built-in module called strop, but strop is now obsolete itself.

Public module variables:

* `whitespace` – a string containing all characters considered whitespace.
* `lowercase` – a string containing all characters considered lowercase letters.
* `uppercase` – a string containing all characters considered uppercase letters.
* `letters` – a string containing all characters considered letters.
* `digits` – a string containing all characters considered decimal digits.
* `hexdigits` – a string containing all characters considered hexadecimal digits.
* `octdigits` – a string containing all characters considered octal digits.
* `punctuation` – a string containing all characters considered punctuation.
* `printable` – a string containing all characters considered printable.

## string.maketrans(fromstr, tostr)

This static method returns a translation table usable for `str.translate()`. If there is only one argument, it must be a dictionary mapping Unicode ordinals (integers) or characters (strings of length 1) to Unicode ordinals, strings (of arbitrary lengths) or None. Character keys will then be converted to ordinals.

If there are two arguments, they must be strings of equal length, and in the resulting dictionary, each character in x will be mapped to the character at the same position in y. If there is a third argument, it must be a string, whose characters will be mapped to `None` in the result.


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://docs.verygoodsecurity.com/vault/developer-tools/larky/library-api/string.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
