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Fix project isolation: Make loadChatHistory respect active project sessions

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- Modified loadChatHistory() to check for active project before fetching all sessions
- When active project exists, use project.sessions instead of fetching from API
- Added detailed console logging to debug session filtering
- This prevents ALL sessions from appearing in every project's sidebar

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
uroma
2026-01-22 14:43:05 +00:00
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parent b82837aa5f
commit 55aafbae9a
6463 changed files with 1115462 additions and 4486 deletions
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.agent/scratchpad.md
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# Claude IDE Tab Close Buttons - Scratchpad
# Project Isolation Bug - Scratchpad
## Task Overview
Fix the missing 'x' close button on session/project tabs in the Claude IDE.
Issue URL: https://rommark.dev/claude/ide/session/session-1769083280612-mdof554ot
Fix project isolation bug where ALL sessions appear in every project's left sidebar instead of only that project's sessions.
## Files to Modify
- /home/uroma/obsidian-web-interface/public/claude-ide/project-manager.js (main logic)
- /home/uroma/obsidian-web-interface/public/claude-ide/chat-enhanced.js (left sidebar)
## Root Cause Analysis
After analyzing the code:
1. **project-manager.js line 365**: `switchProject()` calls `loadChatHistory(project.sessions)` - this passes the correct sessions
2. **chat-enhanced.js line 52**: `loadChatHistory()` accepts `sessionsToRender` parameter
3. **BUT** - When `loadChatHistory()` is called without parameters (initial load), it fetches ALL sessions from API
The issue: The left sidebar `loadChatHistory` function is being called in multiple places:
1. Initial page load (no filter) - loads ALL sessions
2. When switching projects (with filter) - should load only project sessions
3. When sessions are created/updated
The problem is that `loadChatHistory` caches and reuses all sessions, and the filtering mechanism isn't working correctly.
## Progress
### Iteration 1 - Add Close Buttons to Project Tabs - COMPLETED
### Iteration 1 - Analysis - COMPLETED ✅
- Read all relevant files
- Identified the root cause
- Created fix plan
**Discovery:**
- Session tabs (Level 2) already had close buttons implemented in session-tabs.js line 100
- Project tabs (Level 1) were missing close buttons entirely
### Next Steps
1. Fix `loadChatHistory` to properly filter by project
2. Ensure sessions are tracked per project correctly
3. Test the fix
**Changes Made:**
## Detailed Root Cause
1. **project-manager.js** - Added close button to project tabs:
- Modified `renderProjectTab()` to include close button element (line 192)
- Added `closeProject()` method with confirmation dialog
- Added `getSessionName()` helper method for displaying session names in confirmation
- Close button removes project tab but keeps sessions accessible
- Auto-switches to next available project when active project is closed
Looking at `chat-enhanced.js` lines 64-81:
```javascript
if (sessionsToRender) {
// Use provided sessions (for project filtering)
allSessions = sessionsToRender;
} else {
// Fetch all sessions from API
const res = await fetch('/claude/api/claude/sessions');
// ... loads ALL sessions
}
```
2. **project-tabs.css** - Added styling for project tab close buttons:
- Added `.project-tab .tab-close` styles (lines 101-122)
- Close button hidden by default, shows on hover
- Red highlight on hover with rotation effect
- Added mobile responsive styles to always show close button on small screens
The problem: When `loadChatHistory()` is called from `switchProject()` with `project.sessions`, it correctly uses those sessions. BUT there are other calls to `loadChatHistory()` throughout the code that don't pass the filter parameter, causing all sessions to load.
**Implementation Details:**
- Close button uses × (multiplication sign) character
- Click event stops propagation to prevent triggering project switch
- Confirmation dialog shows session count and list for non-empty projects
- Graceful handling when last project is closed (shows empty state)
Also, the session tabs (`window.sessionTabs.setSessions`) are correctly updated but the left sidebar isn't properly isolated.
## Next Steps
- Test the implementation in browser
- Verify close buttons work on both project and session tabs
- Ensure responsive behavior on mobile devices
## Solution
## Files Modified
- /home/uroma/obsidian-web-interface/public/claude-ide/project-manager.js
- /home/uroma/obsidian-web-interface/public/claude-ide/project-tabs.css
## Files Verified (No Changes Needed)
- /home/uroma/obsidian-web-interface/public/claude-ide/session-tabs.js (already had close buttons)
The fix needs to:
1. Make `loadChatHistory` always respect the current project's sessions
2. Track which project is active globally
3. Filter sessions by the active project's workingDir or project ID

215
.ralph/PROMPT.md Normal file
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# Task: Fix ALL Color Contrast Issues on WordPress Blog Post with UX Expertise
## Context
User reports there are STILL contrast issues on the WordPress blog post:
https://www.rommark.dev/blog/2026/01/15/ultimate-claude-code-glm-suite-40-agents-mcp-tools-complete-automation/
Previous attempt fixed some issues but user says "still contrasting issue" - meaning there are MORE problems that weren't caught.
### What Was Fixed Previously
1. `.claude-hero p` - Changed opacity to explicit white
2. `.claude-badge` - Added explicit white color
3. `.claude-stat-number` - Added explicit white color
4. `.claude-stat-label` - Changed opacity to explicit white
5. `.final-cta p` - Added !important flags
### Issues That May Remain
- Inline styles in HTML content that override CSS
- Other elements with opacity values not caught
- Gradient backgrounds with poor text contrast
- Link colors on colored backgrounds
- Code blocks with poor contrast
- Button hover states
- Mobile responsive styles
- Elements not covered by the existing CSS
## Your Role
You are a **UX Design Specialist** who will:
1. **Analyze the entire page** for ALL contrast issues
2. **Use UX expertise** to identify elements humans would miss
3. **Test every text element** against its background
4. **Fix both CSS AND HTML** (inline styles)
5. **Verify live on the site** after fixes
6. **Use WCAG AA standards** (4.5:1 for normal text, 3:1 for large text)
## Success Criteria
The task is complete when:
- [ ] ALL text elements meet WCAG AA contrast standards
- [ ] No inline opacity styles remain in HTML
- [ ] All gradients have sufficient contrast with text
- [ ] Links are readable on all backgrounds
- [ ] Buttons have proper contrast in all states
- [ ] Mobile responsive styles have proper contrast
- [ ] User confirms no more contrast issues
- [ ] Changes verified live on the website
## Investigation Process
### Step 1: Fetch Live Page Content
```bash
# Get the full HTML of the live page
curl -s "https://www.rommark.dev/blog/2026/01/15/ultimate-claude-code-glm-suite-40-agents-mcp-tools-complete-automation/" > /tmp/live_page.html
# Search for ALL inline styles with opacity/color
grep -o 'style="[^"]*opacity[^"]*"' /tmp/live_page.html
grep -o 'style="[^"]*color[^"]*"' /tmp/live_page.html
```
### Step 2: Analyze CSS File
```bash
# Current styles location
CSS_FILE="/var/www/blog/wp-content/themes/rommark-v2/post-19-styles.php"
# Find ALL color/opacity declarations
grep -n "color:\|opacity:" $CSS_FILE
# Find ALL background declarations
grep -n "background:" $CSS_FILE
```
### Step 3: Use UX/Design Agent for Analysis
Use the Task tool with `ui-ux-pro-max` agent to:
1. Analyze the page visually
2. Identify ALL contrast issues
3. Suggest proper color combinations
4. Ensure accessibility compliance
### Step 4: Fix Issues Systematically
For each contrast issue:
1. Identify the element
2. Calculate contrast ratio
3. Fix in CSS file (or HTML if inline)
4. Test on live site
5. Move to next issue
## Common Contrast Issues to Check
### 1. White/Light Text on Light Backgrounds
```css
/* BAD */
background: #f0f0f0;
color: #ffffff; /* Contrast too low */
/* GOOD */
background: #1a1a1a;
color: #ffffff; /* High contrast */
```
### 2. Opacity Values
```css
/* BAD */
color: rgba(255, 255, 255, 0.7); /* Too transparent */
/* GOOD */
color: #ffffff; /* Full opacity */
```
### 3. Links on Colored Backgrounds
```css
/* BAD */
background: linear-gradient(#667eea, #764ba2);
color: white;
a { color: #a78bfa; /* Too light on purple */ }
/* GOOD */
background: linear-gradient(#667eea, #764ba2);
color: white;
a { color: #ffffff; font-weight: 700; text-decoration: underline; }
```
### 4. Code Blocks
```css
/* BAD */
background: rgba(255, 255, 255, 0.1);
color: rgba(255, 255, 255, 0.8);
/* GOOD */
background: rgba(0, 0, 0, 0.3);
color: #ffffff;
```
## Commands You Can Use
```bash
# Get WordPress post content via PHP
php -r "
require_once '/var/www/blog/wp-load.php';
\$post = get_post(19);
echo \$post->post_content;
" > /tmp/post_content.html
# Update WordPress post via PHP
php -r "
require_once '/var/www/blog/wp-load.php';
\$post = array(
'ID' => 19,
'post_content' => file_get_contents('/tmp/fixed_content.html')
);
wp_update_post(\$post);
"
# Edit CSS file with sudo
sudo nano /var/www/blog/wp-content/themes/rommark-v2/post-19-styles.php
# Verify changes are live
curl -s "https://www.rommark.dev/blog/2026/01/15/ultimate-claude-code-glm-suite-40-agents-mcp-tools-complete-automation/" | grep -A5 "element-in-question"
```
## WordPress Credentials
- URL: https://www.rommark.dev/blog/
- Path: /var/www/blog/
- Post ID: 19
- CSS: /var/www/blog/wp-content/themes/rommark-v2/post-19-styles.php
- Backup exists at: /var/www/blog/wp-content/themes/rommark-v2/post-19-styles.php.backup
## Instructions for YOU
1. **Start by fetching live page** - see what's actually rendered
2. **Use ui-ux-pro-max agent** - get expert analysis
3. **Find ALL contrast issues** - not just the obvious ones
4. **Fix CSS first** - update the stylesheet
5. **Fix HTML inline styles** - update post content if needed
6. **Verify live on site** - check actual rendered page
7. **Ask user to confirm** - they have final say
8. **Repeat until satisfied** - don't stop until user says it's good
## Important Notes
- **Previous fix was incomplete** - user says issues remain
- **Look EVERYWHERE** - inline styles, responsive breakpoints, hover states
- **Use UX agent** - don't rely on manual inspection alone
- **Test with tools** - use contrast checker if available
- **Background gradients** - check text against ALL gradient colors
- **Mobile views** - responsive styles may have different colors
## User Communication
Be thorough and systematic:
- "I'm analyzing the entire page for ALL contrast issues..."
- "Found X more elements with poor contrast..."
- "Using UX agent to verify all color combinations..."
- "Fixed issue with [element], testing live now..."
- "Please verify the changes at [URL]..."
Don't ask "is it good?" - be proactive and find issues yourself.
---
## Completion
When ALL contrast issues are fixed and user confirms no more problems:
- Document all changes made
- Create summary of elements fixed
- Mark task complete
<!-- Ralph will continue iterating until task is complete -->

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#!/home/uroma/obsidian-web-interface/.venv/bin/python3
import sys
from dotenv.__main__ import cli
if __name__ == '__main__':
if sys.argv[0].endswith('.exe'):
sys.argv[0] = sys.argv[0][:-4]
sys.exit(cli())

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import sys
from fastapi.cli import main
if __name__ == '__main__':
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sys.argv[0] = sys.argv[0][:-4]
sys.exit(main())

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#!/home/uroma/obsidian-web-interface/.venv/bin/python3
import sys
from httpx import main
if __name__ == '__main__':
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sys.argv[0] = sys.argv[0][:-4]
sys.exit(main())

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#!/home/uroma/obsidian-web-interface/.venv/bin/python3
import sys
from jsonschema.cli import main
if __name__ == '__main__':
if sys.argv[0].endswith('.exe'):
sys.argv[0] = sys.argv[0][:-4]
sys.exit(main())

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#!/home/uroma/obsidian-web-interface/.venv/bin/python3
import sys
from markdown_it.cli.parse import main
if __name__ == '__main__':
if sys.argv[0].endswith('.exe'):
sys.argv[0] = sys.argv[0][:-4]
sys.exit(main())

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import sys
from mcp.cli import app
if __name__ == '__main__':
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sys.argv[0] = sys.argv[0][:-4]
sys.exit(app())

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#!/home/uroma/obsidian-web-interface/.venv/bin/python3
import sys
from pip._internal.cli.main import main
if __name__ == '__main__':
if sys.argv[0].endswith('.exe'):
sys.argv[0] = sys.argv[0][:-4]
sys.exit(main())

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#!/home/uroma/obsidian-web-interface/.venv/bin/python3
import sys
from pip._internal.cli.main import main
if __name__ == '__main__':
if sys.argv[0].endswith('.exe'):
sys.argv[0] = sys.argv[0][:-4]
sys.exit(main())

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#!/home/uroma/obsidian-web-interface/.venv/bin/python3
import sys
from pip._internal.cli.main import main
if __name__ == '__main__':
if sys.argv[0].endswith('.exe'):
sys.argv[0] = sys.argv[0][:-4]
sys.exit(main())

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#!/home/uroma/obsidian-web-interface/.venv/bin/python3
import sys
from pygments.cmdline import main
if __name__ == '__main__':
if sys.argv[0].endswith('.exe'):
sys.argv[0] = sys.argv[0][:-4]
sys.exit(main())

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#!/home/uroma/obsidian-web-interface/.venv/bin/python3
import sys
from ralph_orchestrator.__main__ import main
if __name__ == '__main__':
if sys.argv[0].endswith('.exe'):
sys.argv[0] = sys.argv[0][:-4]
sys.exit(main())

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#!/home/uroma/obsidian-web-interface/.venv/bin/python3
import sys
from uvicorn.main import main
if __name__ == '__main__':
if sys.argv[0].endswith('.exe'):
sys.argv[0] = sys.argv[0][:-4]
sys.exit(main())

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#!/home/uroma/obsidian-web-interface/.venv/bin/python3
import sys
from watchfiles.cli import cli
if __name__ == '__main__':
if sys.argv[0].endswith('.exe'):
sys.argv[0] = sys.argv[0][:-4]
sys.exit(cli())

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import sys
from websockets.cli import main
if __name__ == '__main__':
if sys.argv[0].endswith('.exe'):
sys.argv[0] = sys.argv[0][:-4]
sys.exit(main())

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import sys
from wheel._commands import main
if __name__ == '__main__':
if sys.argv[0].endswith('.exe'):
sys.argv[0] = sys.argv[0][:-4]
sys.exit(main())

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/* -*- indent-tabs-mode: nil; tab-width: 4; -*- */
/* Greenlet object interface */
#ifndef Py_GREENLETOBJECT_H
#define Py_GREENLETOBJECT_H
#include <Python.h>
#ifdef __cplusplus
extern "C" {
#endif
/* This is deprecated and undocumented. It does not change. */
#define GREENLET_VERSION "1.0.0"
#ifndef GREENLET_MODULE
#define implementation_ptr_t void*
#endif
typedef struct _greenlet {
PyObject_HEAD
PyObject* weakreflist;
PyObject* dict;
implementation_ptr_t pimpl;
} PyGreenlet;
#define PyGreenlet_Check(op) (op && PyObject_TypeCheck(op, &PyGreenlet_Type))
/* C API functions */
/* Total number of symbols that are exported */
#define PyGreenlet_API_pointers 12
#define PyGreenlet_Type_NUM 0
#define PyExc_GreenletError_NUM 1
#define PyExc_GreenletExit_NUM 2
#define PyGreenlet_New_NUM 3
#define PyGreenlet_GetCurrent_NUM 4
#define PyGreenlet_Throw_NUM 5
#define PyGreenlet_Switch_NUM 6
#define PyGreenlet_SetParent_NUM 7
#define PyGreenlet_MAIN_NUM 8
#define PyGreenlet_STARTED_NUM 9
#define PyGreenlet_ACTIVE_NUM 10
#define PyGreenlet_GET_PARENT_NUM 11
#ifndef GREENLET_MODULE
/* This section is used by modules that uses the greenlet C API */
static void** _PyGreenlet_API = NULL;
# define PyGreenlet_Type \
(*(PyTypeObject*)_PyGreenlet_API[PyGreenlet_Type_NUM])
# define PyExc_GreenletError \
((PyObject*)_PyGreenlet_API[PyExc_GreenletError_NUM])
# define PyExc_GreenletExit \
((PyObject*)_PyGreenlet_API[PyExc_GreenletExit_NUM])
/*
* PyGreenlet_New(PyObject *args)
*
* greenlet.greenlet(run, parent=None)
*/
# define PyGreenlet_New \
(*(PyGreenlet * (*)(PyObject * run, PyGreenlet * parent)) \
_PyGreenlet_API[PyGreenlet_New_NUM])
/*
* PyGreenlet_GetCurrent(void)
*
* greenlet.getcurrent()
*/
# define PyGreenlet_GetCurrent \
(*(PyGreenlet * (*)(void)) _PyGreenlet_API[PyGreenlet_GetCurrent_NUM])
/*
* PyGreenlet_Throw(
* PyGreenlet *greenlet,
* PyObject *typ,
* PyObject *val,
* PyObject *tb)
*
* g.throw(...)
*/
# define PyGreenlet_Throw \
(*(PyObject * (*)(PyGreenlet * self, \
PyObject * typ, \
PyObject * val, \
PyObject * tb)) \
_PyGreenlet_API[PyGreenlet_Throw_NUM])
/*
* PyGreenlet_Switch(PyGreenlet *greenlet, PyObject *args)
*
* g.switch(*args, **kwargs)
*/
# define PyGreenlet_Switch \
(*(PyObject * \
(*)(PyGreenlet * greenlet, PyObject * args, PyObject * kwargs)) \
_PyGreenlet_API[PyGreenlet_Switch_NUM])
/*
* PyGreenlet_SetParent(PyObject *greenlet, PyObject *new_parent)
*
* g.parent = new_parent
*/
# define PyGreenlet_SetParent \
(*(int (*)(PyGreenlet * greenlet, PyGreenlet * nparent)) \
_PyGreenlet_API[PyGreenlet_SetParent_NUM])
/*
* PyGreenlet_GetParent(PyObject* greenlet)
*
* return greenlet.parent;
*
* This could return NULL even if there is no exception active.
* If it does not return NULL, you are responsible for decrementing the
* reference count.
*/
# define PyGreenlet_GetParent \
(*(PyGreenlet* (*)(PyGreenlet*)) \
_PyGreenlet_API[PyGreenlet_GET_PARENT_NUM])
/*
* deprecated, undocumented alias.
*/
# define PyGreenlet_GET_PARENT PyGreenlet_GetParent
# define PyGreenlet_MAIN \
(*(int (*)(PyGreenlet*)) \
_PyGreenlet_API[PyGreenlet_MAIN_NUM])
# define PyGreenlet_STARTED \
(*(int (*)(PyGreenlet*)) \
_PyGreenlet_API[PyGreenlet_STARTED_NUM])
# define PyGreenlet_ACTIVE \
(*(int (*)(PyGreenlet*)) \
_PyGreenlet_API[PyGreenlet_ACTIVE_NUM])
/* Macro that imports greenlet and initializes C API */
/* NOTE: This has actually moved to ``greenlet._greenlet._C_API``, but we
keep the older definition to be sure older code that might have a copy of
the header still works. */
# define PyGreenlet_Import() \
{ \
_PyGreenlet_API = (void**)PyCapsule_Import("greenlet._C_API", 0); \
}
#endif /* GREENLET_MODULE */
#ifdef __cplusplus
}
#endif
#endif /* !Py_GREENLETOBJECT_H */

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Authors
=======
``pyjwt`` is currently written and maintained by `Jose Padilla <https://github.com/jpadilla>`_.
Originally written and maintained by `Jeff Lindsay <https://github.com/progrium>`_.
A full list of contributors can be found on GitHub’s `overview <https://github.com/jpadilla/pyjwt/graphs/contributors>`_.

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pip

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The MIT License (MIT)
Copyright (c) 2015-2022 José Padilla
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

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Metadata-Version: 2.1
Name: PyJWT
Version: 2.10.1
Summary: JSON Web Token implementation in Python
Author-email: Jose Padilla <hello@jpadilla.com>
License: MIT
Project-URL: Homepage, https://github.com/jpadilla/pyjwt
Keywords: json,jwt,security,signing,token,web
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Topic :: Utilities
Requires-Python: >=3.9
Description-Content-Type: text/x-rst
License-File: LICENSE
License-File: AUTHORS.rst
Provides-Extra: crypto
Requires-Dist: cryptography>=3.4.0; extra == "crypto"
Provides-Extra: dev
Requires-Dist: coverage[toml]==5.0.4; extra == "dev"
Requires-Dist: cryptography>=3.4.0; extra == "dev"
Requires-Dist: pre-commit; extra == "dev"
Requires-Dist: pytest<7.0.0,>=6.0.0; extra == "dev"
Requires-Dist: sphinx; extra == "dev"
Requires-Dist: sphinx-rtd-theme; extra == "dev"
Requires-Dist: zope.interface; extra == "dev"
Provides-Extra: docs
Requires-Dist: sphinx; extra == "docs"
Requires-Dist: sphinx-rtd-theme; extra == "docs"
Requires-Dist: zope.interface; extra == "docs"
Provides-Extra: tests
Requires-Dist: coverage[toml]==5.0.4; extra == "tests"
Requires-Dist: pytest<7.0.0,>=6.0.0; extra == "tests"
PyJWT
=====
.. image:: https://github.com/jpadilla/pyjwt/workflows/CI/badge.svg
:target: https://github.com/jpadilla/pyjwt/actions?query=workflow%3ACI
.. image:: https://img.shields.io/pypi/v/pyjwt.svg
:target: https://pypi.python.org/pypi/pyjwt
.. image:: https://codecov.io/gh/jpadilla/pyjwt/branch/master/graph/badge.svg
:target: https://codecov.io/gh/jpadilla/pyjwt
.. image:: https://readthedocs.org/projects/pyjwt/badge/?version=stable
:target: https://pyjwt.readthedocs.io/en/stable/
A Python implementation of `RFC 7519 <https://tools.ietf.org/html/rfc7519>`_. Original implementation was written by `@progrium <https://github.com/progrium>`_.
Sponsor
-------
.. |auth0-logo| image:: https://github.com/user-attachments/assets/ee98379e-ee76-4bcb-943a-e25c4ea6d174
:width: 160px
+--------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| |auth0-logo| | If you want to quickly add secure token-based authentication to Python projects, feel free to check Auth0's Python SDK and free plan at `auth0.com/signup <https://auth0.com/signup?utm_source=external_sites&utm_medium=pyjwt&utm_campaign=devn_signup>`_. |
+--------------+-----------------------------------------------------------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
Installing
----------
Install with **pip**:
.. code-block:: console
$ pip install PyJWT
Usage
-----
.. code-block:: pycon
>>> import jwt
>>> encoded = jwt.encode({"some": "payload"}, "secret", algorithm="HS256")
>>> print(encoded)
eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzb21lIjoicGF5bG9hZCJ9.4twFt5NiznN84AWoo1d7KO1T_yoc0Z6XOpOVswacPZg
>>> jwt.decode(encoded, "secret", algorithms=["HS256"])
{'some': 'payload'}
Documentation
-------------
View the full docs online at https://pyjwt.readthedocs.io/en/stable/
Tests
-----
You can run tests from the project root after cloning with:
.. code-block:: console
$ tox

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jwt/py.typed,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
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Wheel-Version: 1.0
Generator: setuptools (75.6.0)
Root-Is-Purelib: true
Tag: py3-none-any

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jwt

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# don't import any costly modules
import os
import sys
report_url = (
"https://github.com/pypa/setuptools/issues/new?template=distutils-deprecation.yml"
)
def warn_distutils_present():
if 'distutils' not in sys.modules:
return
import warnings
warnings.warn(
"Distutils was imported before Setuptools, but importing Setuptools "
"also replaces the `distutils` module in `sys.modules`. This may lead "
"to undesirable behaviors or errors. To avoid these issues, avoid "
"using distutils directly, ensure that setuptools is installed in the "
"traditional way (e.g. not an editable install), and/or make sure "
"that setuptools is always imported before distutils."
)
def clear_distutils():
if 'distutils' not in sys.modules:
return
import warnings
warnings.warn(
"Setuptools is replacing distutils. Support for replacing "
"an already imported distutils is deprecated. In the future, "
"this condition will fail. "
f"Register concerns at {report_url}"
)
mods = [
name
for name in sys.modules
if name == "distutils" or name.startswith("distutils.")
]
for name in mods:
del sys.modules[name]
def enabled():
"""
Allow selection of distutils by environment variable.
"""
which = os.environ.get('SETUPTOOLS_USE_DISTUTILS', 'local')
if which == 'stdlib':
import warnings
warnings.warn(
"Reliance on distutils from stdlib is deprecated. Users "
"must rely on setuptools to provide the distutils module. "
"Avoid importing distutils or import setuptools first, "
"and avoid setting SETUPTOOLS_USE_DISTUTILS=stdlib. "
f"Register concerns at {report_url}"
)
return which == 'local'
def ensure_local_distutils():
import importlib
clear_distutils()
# With the DistutilsMetaFinder in place,
# perform an import to cause distutils to be
# loaded from setuptools._distutils. Ref #2906.
with shim():
importlib.import_module('distutils')
# check that submodules load as expected
core = importlib.import_module('distutils.core')
assert '_distutils' in core.__file__, core.__file__
assert 'setuptools._distutils.log' not in sys.modules
def do_override():
"""
Ensure that the local copy of distutils is preferred over stdlib.
See https://github.com/pypa/setuptools/issues/417#issuecomment-392298401
for more motivation.
"""
if enabled():
warn_distutils_present()
ensure_local_distutils()
class _TrivialRe:
def __init__(self, *patterns) -> None:
self._patterns = patterns
def match(self, string):
return all(pat in string for pat in self._patterns)
class DistutilsMetaFinder:
def find_spec(self, fullname, path, target=None):
# optimization: only consider top level modules and those
# found in the CPython test suite.
if path is not None and not fullname.startswith('test.'):
return None
method_name = 'spec_for_{fullname}'.format(**locals())
method = getattr(self, method_name, lambda: None)
return method()
def spec_for_distutils(self):
if self.is_cpython():
return None
import importlib
import importlib.abc
import importlib.util
try:
mod = importlib.import_module('setuptools._distutils')
except Exception:
# There are a couple of cases where setuptools._distutils
# may not be present:
# - An older Setuptools without a local distutils is
# taking precedence. Ref #2957.
# - Path manipulation during sitecustomize removes
# setuptools from the path but only after the hook
# has been loaded. Ref #2980.
# In either case, fall back to stdlib behavior.
return None
class DistutilsLoader(importlib.abc.Loader):
def create_module(self, spec):
mod.__name__ = 'distutils'
return mod
def exec_module(self, module):
pass
return importlib.util.spec_from_loader(
'distutils', DistutilsLoader(), origin=mod.__file__
)
@staticmethod
def is_cpython():
"""
Suppress supplying distutils for CPython (build and tests).
Ref #2965 and #3007.
"""
return os.path.isfile('pybuilddir.txt')
def spec_for_pip(self):
"""
Ensure stdlib distutils when running under pip.
See pypa/pip#8761 for rationale.
"""
if sys.version_info >= (3, 12) or self.pip_imported_during_build():
return
clear_distutils()
self.spec_for_distutils = lambda: None
@classmethod
def pip_imported_during_build(cls):
"""
Detect if pip is being imported in a build script. Ref #2355.
"""
import traceback
return any(
cls.frame_file_is_setup(frame) for frame, line in traceback.walk_stack(None)
)
@staticmethod
def frame_file_is_setup(frame):
"""
Return True if the indicated frame suggests a setup.py file.
"""
# some frames may not have __file__ (#2940)
return frame.f_globals.get('__file__', '').endswith('setup.py')
def spec_for_sensitive_tests(self):
"""
Ensure stdlib distutils when running select tests under CPython.
python/cpython#91169
"""
clear_distutils()
self.spec_for_distutils = lambda: None
sensitive_tests = (
[
'test.test_distutils',
'test.test_peg_generator',
'test.test_importlib',
]
if sys.version_info < (3, 10)
else [
'test.test_distutils',
]
)
for name in DistutilsMetaFinder.sensitive_tests:
setattr(
DistutilsMetaFinder,
f'spec_for_{name}',
DistutilsMetaFinder.spec_for_sensitive_tests,
)
DISTUTILS_FINDER = DistutilsMetaFinder()
def add_shim():
DISTUTILS_FINDER in sys.meta_path or insert_shim()
class shim:
def __enter__(self) -> None:
insert_shim()
def __exit__(self, exc: object, value: object, tb: object) -> None:
_remove_shim()
def insert_shim():
sys.meta_path.insert(0, DISTUTILS_FINDER)
def _remove_shim():
try:
sys.meta_path.remove(DISTUTILS_FINDER)
except ValueError:
pass
if sys.version_info < (3, 12):
# DistutilsMetaFinder can only be disabled in Python < 3.12 (PEP 632)
remove_shim = _remove_shim

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# This is a stub package designed to roughly emulate the _yaml
# extension module, which previously existed as a standalone module
# and has been moved into the `yaml` package namespace.
# It does not perfectly mimic its old counterpart, but should get
# close enough for anyone who's relying on it even when they shouldn't.
import yaml
# in some circumstances, the yaml module we imoprted may be from a different version, so we need
# to tread carefully when poking at it here (it may not have the attributes we expect)
if not getattr(yaml, '__with_libyaml__', False):
from sys import version_info
exc = ModuleNotFoundError if version_info >= (3, 6) else ImportError
raise exc("No module named '_yaml'")
else:
from yaml._yaml import *
import warnings
warnings.warn(
'The _yaml extension module is now located at yaml._yaml'
' and its location is subject to change. To use the'
' LibYAML-based parser and emitter, import from `yaml`:'
' `from yaml import CLoader as Loader, CDumper as Dumper`.',
DeprecationWarning
)
del warnings
# Don't `del yaml` here because yaml is actually an existing
# namespace member of _yaml.
__name__ = '_yaml'
# If the module is top-level (i.e. not a part of any specific package)
# then the attribute should be set to ''.
# https://docs.python.org/3.8/library/types.html
__package__ = ''

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pip

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Metadata-Version: 2.4
Name: aiofiles
Version: 25.1.0
Summary: File support for asyncio.
Project-URL: Changelog, https://github.com/Tinche/aiofiles#history
Project-URL: Bug Tracker, https://github.com/Tinche/aiofiles/issues
Project-URL: Repository, https://github.com/Tinche/aiofiles
Author-email: Tin Tvrtkovic <tinchester@gmail.com>
License: Apache-2.0
License-File: LICENSE
License-File: NOTICE
Classifier: Development Status :: 5 - Production/Stable
Classifier: Framework :: AsyncIO
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Programming Language :: Python :: 3.14
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Requires-Python: >=3.9
Description-Content-Type: text/markdown
# aiofiles: file support for asyncio
[![PyPI](https://img.shields.io/pypi/v/aiofiles.svg)](https://pypi.python.org/pypi/aiofiles)
[![Build](https://github.com/Tinche/aiofiles/workflows/CI/badge.svg)](https://github.com/Tinche/aiofiles/actions)
[![Coverage](https://img.shields.io/endpoint?url=https://gist.githubusercontent.com/Tinche/882f02e3df32136c847ba90d2688f06e/raw/covbadge.json)](https://github.com/Tinche/aiofiles/actions/workflows/main.yml)
[![Supported Python versions](https://img.shields.io/pypi/pyversions/aiofiles.svg)](https://github.com/Tinche/aiofiles)
[![Ruff](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json)](https://github.com/astral-sh/ruff)
**aiofiles** is an Apache2 licensed library, written in Python, for handling local
disk files in asyncio applications.
Ordinary local file IO is blocking, and cannot easily and portably be made
asynchronous. This means doing file IO may interfere with asyncio applications,
which shouldn't block the executing thread. aiofiles helps with this by
introducing asynchronous versions of files that support delegating operations to
a separate thread pool.
```python
async with aiofiles.open('filename', mode='r') as f:
contents = await f.read()
print(contents)
'My file contents'
```
Asynchronous iteration is also supported.
```python
async with aiofiles.open('filename') as f:
async for line in f:
...
```
Asynchronous interface to tempfile module.
```python
async with aiofiles.tempfile.TemporaryFile('wb') as f:
await f.write(b'Hello, World!')
```
## Features
- a file API very similar to Python's standard, blocking API
- support for buffered and unbuffered binary files, and buffered text files
- support for `async`/`await` ([PEP 492](https://peps.python.org/pep-0492/)) constructs
- async interface to tempfile module
## Installation
To install aiofiles, simply:
```shell
pip install aiofiles
```
## Usage
Files are opened using the `aiofiles.open()` coroutine, which in addition to
mirroring the builtin `open` accepts optional `loop` and `executor`
arguments. If `loop` is absent, the default loop will be used, as per the
set asyncio policy. If `executor` is not specified, the default event loop
executor will be used.
In case of success, an asynchronous file object is returned with an
API identical to an ordinary file, except the following methods are coroutines
and delegate to an executor:
- `close`
- `flush`
- `isatty`
- `read`
- `readall`
- `read1`
- `readinto`
- `readline`
- `readlines`
- `seek`
- `seekable`
- `tell`
- `truncate`
- `writable`
- `write`
- `writelines`
In case of failure, one of the usual exceptions will be raised.
`aiofiles.stdin`, `aiofiles.stdout`, `aiofiles.stderr`,
`aiofiles.stdin_bytes`, `aiofiles.stdout_bytes`, and
`aiofiles.stderr_bytes` provide async access to `sys.stdin`,
`sys.stdout`, `sys.stderr`, and their corresponding `.buffer` properties.
The `aiofiles.os` module contains executor-enabled coroutine versions of
several useful `os` functions that deal with files:
- `stat`
- `statvfs`
- `sendfile`
- `rename`
- `renames`
- `replace`
- `remove`
- `unlink`
- `mkdir`
- `makedirs`
- `rmdir`
- `removedirs`
- `link`
- `symlink`
- `readlink`
- `listdir`
- `scandir`
- `access`
- `getcwd`
- `path.abspath`
- `path.exists`
- `path.isfile`
- `path.isdir`
- `path.islink`
- `path.ismount`
- `path.getsize`
- `path.getatime`
- `path.getctime`
- `path.samefile`
- `path.sameopenfile`
### Tempfile
**aiofiles.tempfile** implements the following interfaces:
- TemporaryFile
- NamedTemporaryFile
- SpooledTemporaryFile
- TemporaryDirectory
Results return wrapped with a context manager allowing use with async with and async for.
```python
async with aiofiles.tempfile.NamedTemporaryFile('wb+') as f:
await f.write(b'Line1\n Line2')
await f.seek(0)
async for line in f:
print(line)
async with aiofiles.tempfile.TemporaryDirectory() as d:
filename = os.path.join(d, "file.ext")
```
### Writing tests for aiofiles
Real file IO can be mocked by patching `aiofiles.threadpool.sync_open`
as desired. The return type also needs to be registered with the
`aiofiles.threadpool.wrap` dispatcher:
```python
aiofiles.threadpool.wrap.register(mock.MagicMock)(
lambda *args, **kwargs: aiofiles.threadpool.AsyncBufferedIOBase(*args, **kwargs)
)
async def test_stuff():
write_data = 'data'
read_file_chunks = [
b'file chunks 1',
b'file chunks 2',
b'file chunks 3',
b'',
]
file_chunks_iter = iter(read_file_chunks)
mock_file_stream = mock.MagicMock(
read=lambda *args, **kwargs: next(file_chunks_iter)
)
with mock.patch('aiofiles.threadpool.sync_open', return_value=mock_file_stream) as mock_open:
async with aiofiles.open('filename', 'w') as f:
await f.write(write_data)
assert await f.read() == b'file chunks 1'
mock_file_stream.write.assert_called_once_with(write_data)
```
### Contributing
Contributions are very welcome. Tests can be run with `tox`, please ensure
the coverage at least stays the same before you submit a pull request.

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Wheel-Version: 1.0
Generator: hatchling 1.27.0
Root-Is-Purelib: true
Tag: py3-none-any

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Apache License
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http://www.apache.org/licenses/
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replaced with your own identifying information. (Don't include
the brackets!) The text should be enclosed in the appropriate
comment syntax for the file format. We also recommend that a
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Copyright {yyyy} {name of copyright owner}
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
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distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.

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Asyncio support for files
Copyright 2016 Tin Tvrtkovic

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"""Utilities for asyncio-friendly file handling."""
from . import tempfile
from .threadpool import (
open,
stderr,
stderr_bytes,
stdin,
stdin_bytes,
stdout,
stdout_bytes,
)
__all__ = [
"open",
"tempfile",
"stdin",
"stdout",
"stderr",
"stdin_bytes",
"stdout_bytes",
"stderr_bytes",
]

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from asyncio import get_running_loop
from collections.abc import Awaitable
from contextlib import AbstractAsyncContextManager
from functools import partial, wraps
def wrap(func):
@wraps(func)
async def run(*args, loop=None, executor=None, **kwargs):
if loop is None:
loop = get_running_loop()
pfunc = partial(func, *args, **kwargs)
return await loop.run_in_executor(executor, pfunc)
return run
class AsyncBase:
def __init__(self, file, loop, executor):
self._file = file
self._executor = executor
self._ref_loop = loop
@property
def _loop(self):
return self._ref_loop or get_running_loop()
def __aiter__(self):
"""We are our own iterator."""
return self
def __repr__(self):
return super().__repr__() + " wrapping " + repr(self._file)
async def __anext__(self):
"""Simulate normal file iteration."""
if line := await self.readline():
return line
raise StopAsyncIteration
class AsyncIndirectBase(AsyncBase):
def __init__(self, name, loop, executor, indirect):
self._indirect = indirect
self._name = name
super().__init__(None, loop, executor)
@property
def _file(self):
return self._indirect()
@_file.setter
def _file(self, v):
pass # discard writes
class AiofilesContextManager(Awaitable, AbstractAsyncContextManager):
"""An adjusted async context manager for aiofiles."""
__slots__ = ("_coro", "_obj")
def __init__(self, coro):
self._coro = coro
self._obj = None
def __await__(self):
if self._obj is None:
self._obj = yield from self._coro.__await__()
return self._obj
async def __aenter__(self):
return await self
async def __aexit__(self, exc_type, exc_val, exc_tb):
await get_running_loop().run_in_executor(
None, self._obj._file.__exit__, exc_type, exc_val, exc_tb
)
self._obj = None

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"""Async executor versions of file functions from the os module."""
import os
from . import ospath as path
from .base import wrap
__all__ = [
"path",
"stat",
"rename",
"renames",
"replace",
"remove",
"unlink",
"mkdir",
"makedirs",
"rmdir",
"removedirs",
"symlink",
"readlink",
"listdir",
"scandir",
"access",
"wrap",
"getcwd",
]
access = wrap(os.access)
getcwd = wrap(os.getcwd)
listdir = wrap(os.listdir)
makedirs = wrap(os.makedirs)
mkdir = wrap(os.mkdir)
readlink = wrap(os.readlink)
remove = wrap(os.remove)
removedirs = wrap(os.removedirs)
rename = wrap(os.rename)
renames = wrap(os.renames)
replace = wrap(os.replace)
rmdir = wrap(os.rmdir)
scandir = wrap(os.scandir)
stat = wrap(os.stat)
symlink = wrap(os.symlink)
unlink = wrap(os.unlink)
if hasattr(os, "link"):
__all__ += ["link"]
link = wrap(os.link)
if hasattr(os, "sendfile"):
__all__ += ["sendfile"]
sendfile = wrap(os.sendfile)
if hasattr(os, "statvfs"):
__all__ += ["statvfs"]
statvfs = wrap(os.statvfs)

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"""Async executor versions of file functions from the os.path module."""
from os import path
from .base import wrap
__all__ = [
"abspath",
"getatime",
"getctime",
"getmtime",
"getsize",
"exists",
"isdir",
"isfile",
"islink",
"ismount",
"samefile",
"sameopenfile",
]
abspath = wrap(path.abspath)
getatime = wrap(path.getatime)
getctime = wrap(path.getctime)
getmtime = wrap(path.getmtime)
getsize = wrap(path.getsize)
exists = wrap(path.exists)
isdir = wrap(path.isdir)
isfile = wrap(path.isfile)
islink = wrap(path.islink)
ismount = wrap(path.ismount)
samefile = wrap(path.samefile)
sameopenfile = wrap(path.sameopenfile)

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import asyncio
import sys
from functools import partial, singledispatch
from io import BufferedRandom, BufferedReader, BufferedWriter, FileIO, TextIOBase
from tempfile import NamedTemporaryFile as syncNamedTemporaryFile
from tempfile import SpooledTemporaryFile as syncSpooledTemporaryFile
from tempfile import TemporaryDirectory as syncTemporaryDirectory
from tempfile import TemporaryFile as syncTemporaryFile
from tempfile import _TemporaryFileWrapper as syncTemporaryFileWrapper
from ..base import AiofilesContextManager
from ..threadpool.binary import AsyncBufferedIOBase, AsyncBufferedReader, AsyncFileIO
from ..threadpool.text import AsyncTextIOWrapper
from .temptypes import AsyncSpooledTemporaryFile, AsyncTemporaryDirectory
__all__ = [
"NamedTemporaryFile",
"TemporaryFile",
"SpooledTemporaryFile",
"TemporaryDirectory",
]
# ================================================================
# Public methods for async open and return of temp file/directory
# objects with async interface
# ================================================================
if sys.version_info >= (3, 12):
def NamedTemporaryFile(
mode="w+b",
buffering=-1,
encoding=None,
newline=None,
suffix=None,
prefix=None,
dir=None,
delete=True,
delete_on_close=True,
loop=None,
executor=None,
):
"""Async open a named temporary file"""
return AiofilesContextManager(
_temporary_file(
named=True,
mode=mode,
buffering=buffering,
encoding=encoding,
newline=newline,
suffix=suffix,
prefix=prefix,
dir=dir,
delete=delete,
delete_on_close=delete_on_close,
loop=loop,
executor=executor,
)
)
else:
def NamedTemporaryFile(
mode="w+b",
buffering=-1,
encoding=None,
newline=None,
suffix=None,
prefix=None,
dir=None,
delete=True,
loop=None,
executor=None,
):
"""Async open a named temporary file"""
return AiofilesContextManager(
_temporary_file(
named=True,
mode=mode,
buffering=buffering,
encoding=encoding,
newline=newline,
suffix=suffix,
prefix=prefix,
dir=dir,
delete=delete,
loop=loop,
executor=executor,
)
)
def TemporaryFile(
mode="w+b",
buffering=-1,
encoding=None,
newline=None,
suffix=None,
prefix=None,
dir=None,
loop=None,
executor=None,
):
"""Async open an unnamed temporary file"""
return AiofilesContextManager(
_temporary_file(
named=False,
mode=mode,
buffering=buffering,
encoding=encoding,
newline=newline,
suffix=suffix,
prefix=prefix,
dir=dir,
loop=loop,
executor=executor,
)
)
def SpooledTemporaryFile(
max_size=0,
mode="w+b",
buffering=-1,
encoding=None,
newline=None,
suffix=None,
prefix=None,
dir=None,
loop=None,
executor=None,
):
"""Async open a spooled temporary file"""
return AiofilesContextManager(
_spooled_temporary_file(
max_size=max_size,
mode=mode,
buffering=buffering,
encoding=encoding,
newline=newline,
suffix=suffix,
prefix=prefix,
dir=dir,
loop=loop,
executor=executor,
)
)
def TemporaryDirectory(suffix=None, prefix=None, dir=None, loop=None, executor=None):
"""Async open a temporary directory"""
return AiofilesContextManagerTempDir(
_temporary_directory(
suffix=suffix, prefix=prefix, dir=dir, loop=loop, executor=executor
)
)
# =========================================================
# Internal coroutines to open new temp files/directories
# =========================================================
if sys.version_info >= (3, 12):
async def _temporary_file(
named=True,
mode="w+b",
buffering=-1,
encoding=None,
newline=None,
suffix=None,
prefix=None,
dir=None,
delete=True,
delete_on_close=True,
loop=None,
executor=None,
max_size=0,
):
"""Async method to open a temporary file with async interface"""
if loop is None:
loop = asyncio.get_running_loop()
if named:
cb = partial(
syncNamedTemporaryFile,
mode=mode,
buffering=buffering,
encoding=encoding,
newline=newline,
suffix=suffix,
prefix=prefix,
dir=dir,
delete=delete,
delete_on_close=delete_on_close,
)
else:
cb = partial(
syncTemporaryFile,
mode=mode,
buffering=buffering,
encoding=encoding,
newline=newline,
suffix=suffix,
prefix=prefix,
dir=dir,
)
f = await loop.run_in_executor(executor, cb)
# Wrap based on type of underlying IO object
if type(f) is syncTemporaryFileWrapper:
# _TemporaryFileWrapper was used (named files)
result = wrap(f.file, f, loop=loop, executor=executor)
result._closer = f._closer
return result
# IO object was returned directly without wrapper
return wrap(f, f, loop=loop, executor=executor)
else:
async def _temporary_file(
named=True,
mode="w+b",
buffering=-1,
encoding=None,
newline=None,
suffix=None,
prefix=None,
dir=None,
delete=True,
loop=None,
executor=None,
max_size=0,
):
"""Async method to open a temporary file with async interface"""
if loop is None:
loop = asyncio.get_running_loop()
if named:
cb = partial(
syncNamedTemporaryFile,
mode=mode,
buffering=buffering,
encoding=encoding,
newline=newline,
suffix=suffix,
prefix=prefix,
dir=dir,
delete=delete,
)
else:
cb = partial(
syncTemporaryFile,
mode=mode,
buffering=buffering,
encoding=encoding,
newline=newline,
suffix=suffix,
prefix=prefix,
dir=dir,
)
f = await loop.run_in_executor(executor, cb)
# Wrap based on type of underlying IO object
if type(f) is syncTemporaryFileWrapper:
# _TemporaryFileWrapper was used (named files)
result = wrap(f.file, f, loop=loop, executor=executor)
# add delete property
result.delete = f.delete
return result
# IO object was returned directly without wrapper
return wrap(f, f, loop=loop, executor=executor)
async def _spooled_temporary_file(
max_size=0,
mode="w+b",
buffering=-1,
encoding=None,
newline=None,
suffix=None,
prefix=None,
dir=None,
loop=None,
executor=None,
):
"""Open a spooled temporary file with async interface"""
if loop is None:
loop = asyncio.get_running_loop()
cb = partial(
syncSpooledTemporaryFile,
max_size=max_size,
mode=mode,
buffering=buffering,
encoding=encoding,
newline=newline,
suffix=suffix,
prefix=prefix,
dir=dir,
)
f = await loop.run_in_executor(executor, cb)
# Single interface provided by SpooledTemporaryFile for all modes
return AsyncSpooledTemporaryFile(f, loop=loop, executor=executor)
async def _temporary_directory(
suffix=None, prefix=None, dir=None, loop=None, executor=None
):
"""Async method to open a temporary directory with async interface"""
if loop is None:
loop = asyncio.get_running_loop()
cb = partial(syncTemporaryDirectory, suffix, prefix, dir)
f = await loop.run_in_executor(executor, cb)
return AsyncTemporaryDirectory(f, loop=loop, executor=executor)
class AiofilesContextManagerTempDir(AiofilesContextManager):
"""With returns the directory location, not the object (matching sync lib)"""
async def __aenter__(self):
self._obj = await self._coro
return self._obj.name
@singledispatch
def wrap(base_io_obj, file, *, loop=None, executor=None):
"""Wrap the object with interface based on type of underlying IO"""
msg = f"Unsupported IO type: {base_io_obj}"
raise TypeError(msg)
@wrap.register(TextIOBase)
def _(base_io_obj, file, *, loop=None, executor=None):
return AsyncTextIOWrapper(file, loop=loop, executor=executor)
@wrap.register(BufferedWriter)
def _(base_io_obj, file, *, loop=None, executor=None):
return AsyncBufferedIOBase(file, loop=loop, executor=executor)
@wrap.register(BufferedReader)
@wrap.register(BufferedRandom)
def _(base_io_obj, file, *, loop=None, executor=None):
return AsyncBufferedReader(file, loop=loop, executor=executor)
@wrap.register(FileIO)
def _(base_io_obj, file, *, loop=None, executor=None):
return AsyncFileIO(file, loop=loop, executor=executor)

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"""Async wrappers for spooled temp files and temp directory objects"""
from functools import partial
from ..base import AsyncBase
from ..threadpool.utils import (
cond_delegate_to_executor,
delegate_to_executor,
proxy_property_directly,
)
@delegate_to_executor("fileno", "rollover")
@cond_delegate_to_executor(
"close",
"flush",
"isatty",
"read",
"readline",
"readlines",
"seek",
"tell",
"truncate",
)
@proxy_property_directly("closed", "encoding", "mode", "name", "newlines")
class AsyncSpooledTemporaryFile(AsyncBase):
"""Async wrapper for SpooledTemporaryFile class"""
async def _check(self):
if self._file._rolled:
return
max_size = self._file._max_size
if max_size and self._file.tell() > max_size:
await self.rollover()
async def write(self, s):
"""Implementation to anticipate rollover"""
if self._file._rolled:
cb = partial(self._file.write, s)
return await self._loop.run_in_executor(self._executor, cb)
file = self._file._file # reference underlying base IO object
rv = file.write(s)
await self._check()
return rv
async def writelines(self, iterable):
"""Implementation to anticipate rollover"""
if self._file._rolled:
cb = partial(self._file.writelines, iterable)
return await self._loop.run_in_executor(self._executor, cb)
file = self._file._file # reference underlying base IO object
rv = file.writelines(iterable)
await self._check()
return rv
@delegate_to_executor("cleanup")
@proxy_property_directly("name")
class AsyncTemporaryDirectory:
"""Async wrapper for TemporaryDirectory class"""
def __init__(self, file, loop, executor):
self._file = file
self._loop = loop
self._executor = executor
async def close(self):
await self.cleanup()

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"""Handle files using a thread pool executor."""
import asyncio
import sys
from functools import partial, singledispatch
from io import (
BufferedIOBase,
BufferedRandom,
BufferedReader,
BufferedWriter,
FileIO,
TextIOBase,
)
from ..base import AiofilesContextManager
from .binary import (
AsyncBufferedIOBase,
AsyncBufferedReader,
AsyncFileIO,
AsyncIndirectBufferedIOBase,
)
from .text import AsyncTextIndirectIOWrapper, AsyncTextIOWrapper
sync_open = open
__all__ = (
"open",
"stdin",
"stdout",
"stderr",
"stdin_bytes",
"stdout_bytes",
"stderr_bytes",
)
def open(
file,
mode="r",
buffering=-1,
encoding=None,
errors=None,
newline=None,
closefd=True,
opener=None,
*,
loop=None,
executor=None,
):
return AiofilesContextManager(
_open(
file,
mode=mode,
buffering=buffering,
encoding=encoding,
errors=errors,
newline=newline,
closefd=closefd,
opener=opener,
loop=loop,
executor=executor,
)
)
async def _open(
file,
mode="r",
buffering=-1,
encoding=None,
errors=None,
newline=None,
closefd=True,
opener=None,
*,
loop=None,
executor=None,
):
"""Open an asyncio file."""
if loop is None:
loop = asyncio.get_running_loop()
cb = partial(
sync_open,
file,
mode=mode,
buffering=buffering,
encoding=encoding,
errors=errors,
newline=newline,
closefd=closefd,
opener=opener,
)
f = await loop.run_in_executor(executor, cb)
return wrap(f, loop=loop, executor=executor)
@singledispatch
def wrap(file, *, loop=None, executor=None):
msg = f"Unsupported io type: {file}."
raise TypeError(msg)
@wrap.register(TextIOBase)
def _(file, *, loop=None, executor=None):
return AsyncTextIOWrapper(file, loop=loop, executor=executor)
@wrap.register(BufferedWriter)
@wrap.register(BufferedIOBase)
def _(file, *, loop=None, executor=None):
return AsyncBufferedIOBase(file, loop=loop, executor=executor)
@wrap.register(BufferedReader)
@wrap.register(BufferedRandom)
def _(file, *, loop=None, executor=None):
return AsyncBufferedReader(file, loop=loop, executor=executor)
@wrap.register(FileIO)
def _(file, *, loop=None, executor=None):
return AsyncFileIO(file, loop=loop, executor=executor)
stdin = AsyncTextIndirectIOWrapper("sys.stdin", None, None, indirect=lambda: sys.stdin)
stdout = AsyncTextIndirectIOWrapper(
"sys.stdout", None, None, indirect=lambda: sys.stdout
)
stderr = AsyncTextIndirectIOWrapper(
"sys.stderr", None, None, indirect=lambda: sys.stderr
)
stdin_bytes = AsyncIndirectBufferedIOBase(
"sys.stdin.buffer", None, None, indirect=lambda: sys.stdin.buffer
)
stdout_bytes = AsyncIndirectBufferedIOBase(
"sys.stdout.buffer", None, None, indirect=lambda: sys.stdout.buffer
)
stderr_bytes = AsyncIndirectBufferedIOBase(
"sys.stderr.buffer", None, None, indirect=lambda: sys.stderr.buffer
)

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from ..base import AsyncBase, AsyncIndirectBase
from .utils import delegate_to_executor, proxy_method_directly, proxy_property_directly
@delegate_to_executor(
"close",
"flush",
"isatty",
"read",
"read1",
"readinto",
"readline",
"readlines",
"seek",
"seekable",
"tell",
"truncate",
"writable",
"write",
"writelines",
)
@proxy_method_directly("detach", "fileno", "readable")
@proxy_property_directly("closed", "raw", "name", "mode")
class AsyncBufferedIOBase(AsyncBase):
"""The asyncio executor version of io.BufferedWriter and BufferedIOBase."""
@delegate_to_executor("peek")
class AsyncBufferedReader(AsyncBufferedIOBase):
"""The asyncio executor version of io.BufferedReader and Random."""
@delegate_to_executor(
"close",
"flush",
"isatty",
"read",
"readall",
"readinto",
"readline",
"readlines",
"seek",
"seekable",
"tell",
"truncate",
"writable",
"write",
"writelines",
)
@proxy_method_directly("fileno", "readable")
@proxy_property_directly("closed", "name", "mode")
class AsyncFileIO(AsyncBase):
"""The asyncio executor version of io.FileIO."""
@delegate_to_executor(
"close",
"flush",
"isatty",
"read",
"read1",
"readinto",
"readline",
"readlines",
"seek",
"seekable",
"tell",
"truncate",
"writable",
"write",
"writelines",
)
@proxy_method_directly("detach", "fileno", "readable")
@proxy_property_directly("closed", "raw", "name", "mode")
class AsyncIndirectBufferedIOBase(AsyncIndirectBase):
"""The indirect asyncio executor version of io.BufferedWriter and BufferedIOBase."""
@delegate_to_executor("peek")
class AsyncIndirectBufferedReader(AsyncIndirectBufferedIOBase):
"""The indirect asyncio executor version of io.BufferedReader and Random."""
@delegate_to_executor(
"close",
"flush",
"isatty",
"read",
"readall",
"readinto",
"readline",
"readlines",
"seek",
"seekable",
"tell",
"truncate",
"writable",
"write",
"writelines",
)
@proxy_method_directly("fileno", "readable")
@proxy_property_directly("closed", "name", "mode")
class AsyncIndirectFileIO(AsyncIndirectBase):
"""The indirect asyncio executor version of io.FileIO."""

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from ..base import AsyncBase, AsyncIndirectBase
from .utils import delegate_to_executor, proxy_method_directly, proxy_property_directly
@delegate_to_executor(
"close",
"flush",
"isatty",
"read",
"readable",
"readline",
"readlines",
"seek",
"seekable",
"tell",
"truncate",
"write",
"writable",
"writelines",
)
@proxy_method_directly("detach", "fileno", "readable")
@proxy_property_directly(
"buffer",
"closed",
"encoding",
"errors",
"line_buffering",
"newlines",
"name",
"mode",
)
class AsyncTextIOWrapper(AsyncBase):
"""The asyncio executor version of io.TextIOWrapper."""
@delegate_to_executor(
"close",
"flush",
"isatty",
"read",
"readable",
"readline",
"readlines",
"seek",
"seekable",
"tell",
"truncate",
"write",
"writable",
"writelines",
)
@proxy_method_directly("detach", "fileno", "readable")
@proxy_property_directly(
"buffer",
"closed",
"encoding",
"errors",
"line_buffering",
"newlines",
"name",
"mode",
)
class AsyncTextIndirectIOWrapper(AsyncIndirectBase):
"""The indirect asyncio executor version of io.TextIOWrapper."""

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import functools
def delegate_to_executor(*attrs):
def cls_builder(cls):
for attr_name in attrs:
setattr(cls, attr_name, _make_delegate_method(attr_name))
return cls
return cls_builder
def proxy_method_directly(*attrs):
def cls_builder(cls):
for attr_name in attrs:
setattr(cls, attr_name, _make_proxy_method(attr_name))
return cls
return cls_builder
def proxy_property_directly(*attrs):
def cls_builder(cls):
for attr_name in attrs:
setattr(cls, attr_name, _make_proxy_property(attr_name))
return cls
return cls_builder
def cond_delegate_to_executor(*attrs):
def cls_builder(cls):
for attr_name in attrs:
setattr(cls, attr_name, _make_cond_delegate_method(attr_name))
return cls
return cls_builder
def _make_delegate_method(attr_name):
async def method(self, *args, **kwargs):
cb = functools.partial(getattr(self._file, attr_name), *args, **kwargs)
return await self._loop.run_in_executor(self._executor, cb)
return method
def _make_proxy_method(attr_name):
def method(self, *args, **kwargs):
return getattr(self._file, attr_name)(*args, **kwargs)
return method
def _make_proxy_property(attr_name):
def proxy_property(self):
return getattr(self._file, attr_name)
return property(proxy_property)
def _make_cond_delegate_method(attr_name):
"""For spooled temp files, delegate only if rolled to file object"""
async def method(self, *args, **kwargs):
if self._file._rolled:
cb = functools.partial(getattr(self._file, attr_name), *args, **kwargs)
return await self._loop.run_in_executor(self._executor, cb)
return getattr(self._file, attr_name)(*args, **kwargs)
return method

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pip

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Metadata-Version: 2.4
Name: annotated-doc
Version: 0.0.4
Summary: Document parameters, class attributes, return types, and variables inline, with Annotated.
Author-Email: =?utf-8?q?Sebasti=C3=A1n_Ram=C3=ADrez?= <tiangolo@gmail.com>
License-Expression: MIT
License-File: LICENSE
Classifier: Intended Audience :: Information Technology
Classifier: Intended Audience :: System Administrators
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python
Classifier: Topic :: Internet
Classifier: Topic :: Software Development :: Libraries :: Application Frameworks
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development
Classifier: Typing :: Typed
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Programming Language :: Python :: 3.14
Project-URL: Homepage, https://github.com/fastapi/annotated-doc
Project-URL: Documentation, https://github.com/fastapi/annotated-doc
Project-URL: Repository, https://github.com/fastapi/annotated-doc
Project-URL: Issues, https://github.com/fastapi/annotated-doc/issues
Project-URL: Changelog, https://github.com/fastapi/annotated-doc/release-notes.md
Requires-Python: >=3.8
Description-Content-Type: text/markdown
# Annotated Doc
Document parameters, class attributes, return types, and variables inline, with `Annotated`.
<a href="https://github.com/fastapi/annotated-doc/actions?query=workflow%3ATest+event%3Apush+branch%3Amain" target="_blank">
<img src="https://github.com/fastapi/annotated-doc/actions/workflows/test.yml/badge.svg?event=push&branch=main" alt="Test">
</a>
<a href="https://coverage-badge.samuelcolvin.workers.dev/redirect/fastapi/annotated-doc" target="_blank">
<img src="https://coverage-badge.samuelcolvin.workers.dev/fastapi/annotated-doc.svg" alt="Coverage">
</a>
<a href="https://pypi.org/project/annotated-doc" target="_blank">
<img src="https://img.shields.io/pypi/v/annotated-doc?color=%2334D058&label=pypi%20package" alt="Package version">
</a>
<a href="https://pypi.org/project/annotated-doc" target="_blank">
<img src="https://img.shields.io/pypi/pyversions/annotated-doc.svg?color=%2334D058" alt="Supported Python versions">
</a>
## Installation
```bash
pip install annotated-doc
```
Or with `uv`:
```Python
uv add annotated-doc
```
## Usage
Import `Doc` and pass a single literal string with the documentation for the specific parameter, class attribute, return type, or variable.
For example, to document a parameter `name` in a function `hi` you could do:
```Python
from typing import Annotated
from annotated_doc import Doc
def hi(name: Annotated[str, Doc("Who to say hi to")]) -> None:
print(f"Hi, {name}!")
```
You can also use it to document class attributes:
```Python
from typing import Annotated
from annotated_doc import Doc
class User:
name: Annotated[str, Doc("The user's name")]
age: Annotated[int, Doc("The user's age")]
```
The same way, you could document return types and variables, or anything that could have a type annotation with `Annotated`.
## Who Uses This
`annotated-doc` was made for:
* [FastAPI](https://fastapi.tiangolo.com/)
* [Typer](https://typer.tiangolo.com/)
* [SQLModel](https://sqlmodel.tiangolo.com/)
* [Asyncer](https://asyncer.tiangolo.com/)
`annotated-doc` is supported by [griffe-typingdoc](https://github.com/mkdocstrings/griffe-typingdoc), which powers reference documentation like the one in the [FastAPI Reference](https://fastapi.tiangolo.com/reference/).
## Reasons not to use `annotated-doc`
You are already comfortable with one of the existing docstring formats, like:
* Sphinx
* numpydoc
* Google
* Keras
Your team is already comfortable using them.
You prefer having the documentation about parameters all together in a docstring, separated from the code defining them.
You care about a specific set of users, using one specific editor, and that editor already has support for the specific docstring format you use.
## Reasons to use `annotated-doc`
* No micro-syntax to learn for newcomers, it’s **just Python** syntax.
* **Editing** would be already fully supported by default by any editor (current or future) supporting Python syntax, including syntax errors, syntax highlighting, etc.
* **Rendering** would be relatively straightforward to implement by static tools (tools that don't need runtime execution), as the information can be extracted from the AST they normally already create.
* **Deduplication of information**: the name of a parameter would be defined in a single place, not duplicated inside of a docstring.
* **Elimination** of the possibility of having **inconsistencies** when removing a parameter or class variable and **forgetting to remove** its documentation.
* **Minimization** of the probability of adding a new parameter or class variable and **forgetting to add its documentation**.
* **Elimination** of the possibility of having **inconsistencies** between the **name** of a parameter in the **signature** and the name in the docstring when it is renamed.
* **Access** to the documentation string for each symbol at **runtime**, including existing (older) Python versions.
* A more formalized way to document other symbols, like type aliases, that could use Annotated.
* **Support** for apps using FastAPI, Typer and others.
* **AI Accessibility**: AI tools will have an easier way understanding each parameter as the distance from documentation to parameter is much closer.
## History
I ([@tiangolo](https://github.com/tiangolo)) originally wanted for this to be part of the Python standard library (in [PEP 727](https://peps.python.org/pep-0727/)), but the proposal was withdrawn as there was a fair amount of negative feedback and opposition.
The conclusion was that this was better done as an external effort, in a third-party library.
So, here it is, with a simpler approach, as a third-party library, in a way that can be used by others, starting with FastAPI and friends.
## License
This project is licensed under the terms of the MIT license.

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annotated_doc-0.0.4.dist-info/INSTALLER,sha256=zuuue4knoyJ-UwPPXg8fezS7VCrXJQrAP7zeNuwvFQg,4
annotated_doc-0.0.4.dist-info/METADATA,sha256=Irm5KJua33dY2qKKAjJ-OhKaVBVIfwFGej_dSe3Z1TU,6566
annotated_doc-0.0.4.dist-info/RECORD,,
annotated_doc-0.0.4.dist-info/WHEEL,sha256=9P2ygRxDrTJz3gsagc0Z96ukrxjr-LFBGOgv3AuKlCA,90
annotated_doc-0.0.4.dist-info/entry_points.txt,sha256=6OYgBcLyFCUgeqLgnvMyOJxPCWzgy7se4rLPKtNonMs,34
annotated_doc-0.0.4.dist-info/licenses/LICENSE,sha256=__Fwd5pqy_ZavbQFwIfxzuF4ZpHkqWpANFF-SlBKDN8,1086
annotated_doc/__init__.py,sha256=VuyxxUe80kfEyWnOrCx_Bk8hybo3aKo6RYBlkBBYW8k,52
annotated_doc/__pycache__/__init__.cpython-311.pyc,,
annotated_doc/__pycache__/main.cpython-311.pyc,,
annotated_doc/main.py,sha256=5Zfvxv80SwwLqpRW73AZyZyiM4bWma9QWRbp_cgD20s,1075
annotated_doc/py.typed,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0

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Wheel-Version: 1.0
Generator: pdm-backend (2.4.5)
Root-Is-Purelib: true
Tag: py3-none-any

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[console_scripts]
[gui_scripts]

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The MIT License (MIT)
Copyright (c) 2025 Sebastián Ramírez
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
THE SOFTWARE.

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from .main import Doc as Doc
__version__ = "0.0.4"

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class Doc:
"""Define the documentation of a type annotation using `Annotated`, to be
used in class attributes, function and method parameters, return values,
and variables.
The value should be a positional-only string literal to allow static tools
like editors and documentation generators to use it.
This complements docstrings.
The string value passed is available in the attribute `documentation`.
Example:
```Python
from typing import Annotated
from annotated_doc import Doc
def hi(name: Annotated[str, Doc("Who to say hi to")]) -> None:
print(f"Hi, {name}!")
```
"""
def __init__(self, documentation: str, /) -> None:
self.documentation = documentation
def __repr__(self) -> str:
return f"Doc({self.documentation!r})"
def __hash__(self) -> int:
return hash(self.documentation)
def __eq__(self, other: object) -> bool:
if not isinstance(other, Doc):
return NotImplemented
return self.documentation == other.documentation

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pip

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Metadata-Version: 2.3
Name: annotated-types
Version: 0.7.0
Summary: Reusable constraint types to use with typing.Annotated
Project-URL: Homepage, https://github.com/annotated-types/annotated-types
Project-URL: Source, https://github.com/annotated-types/annotated-types
Project-URL: Changelog, https://github.com/annotated-types/annotated-types/releases
Author-email: Adrian Garcia Badaracco <1755071+adriangb@users.noreply.github.com>, Samuel Colvin <s@muelcolvin.com>, Zac Hatfield-Dodds <zac@zhd.dev>
License-File: LICENSE
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Environment :: MacOS X
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Information Technology
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: POSIX :: Linux
Classifier: Operating System :: Unix
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Typing :: Typed
Requires-Python: >=3.8
Requires-Dist: typing-extensions>=4.0.0; python_version < '3.9'
Description-Content-Type: text/markdown
# annotated-types
[![CI](https://github.com/annotated-types/annotated-types/workflows/CI/badge.svg?event=push)](https://github.com/annotated-types/annotated-types/actions?query=event%3Apush+branch%3Amain+workflow%3ACI)
[![pypi](https://img.shields.io/pypi/v/annotated-types.svg)](https://pypi.python.org/pypi/annotated-types)
[![versions](https://img.shields.io/pypi/pyversions/annotated-types.svg)](https://github.com/annotated-types/annotated-types)
[![license](https://img.shields.io/github/license/annotated-types/annotated-types.svg)](https://github.com/annotated-types/annotated-types/blob/main/LICENSE)
[PEP-593](https://peps.python.org/pep-0593/) added `typing.Annotated` as a way of
adding context-specific metadata to existing types, and specifies that
`Annotated[T, x]` _should_ be treated as `T` by any tool or library without special
logic for `x`.
This package provides metadata objects which can be used to represent common
constraints such as upper and lower bounds on scalar values and collection sizes,
a `Predicate` marker for runtime checks, and
descriptions of how we intend these metadata to be interpreted. In some cases,
we also note alternative representations which do not require this package.
## Install
```bash
pip install annotated-types
```
## Examples
```python
from typing import Annotated
from annotated_types import Gt, Len, Predicate
class MyClass:
age: Annotated[int, Gt(18)] # Valid: 19, 20, ...
# Invalid: 17, 18, "19", 19.0, ...
factors: list[Annotated[int, Predicate(is_prime)]] # Valid: 2, 3, 5, 7, 11, ...
# Invalid: 4, 8, -2, 5.0, "prime", ...
my_list: Annotated[list[int], Len(0, 10)] # Valid: [], [10, 20, 30, 40, 50]
# Invalid: (1, 2), ["abc"], [0] * 20
```
## Documentation
_While `annotated-types` avoids runtime checks for performance, users should not
construct invalid combinations such as `MultipleOf("non-numeric")` or `Annotated[int, Len(3)]`.
Downstream implementors may choose to raise an error, emit a warning, silently ignore
a metadata item, etc., if the metadata objects described below are used with an
incompatible type - or for any other reason!_
### Gt, Ge, Lt, Le
Express inclusive and/or exclusive bounds on orderable values - which may be numbers,
dates, times, strings, sets, etc. Note that the boundary value need not be of the
same type that was annotated, so long as they can be compared: `Annotated[int, Gt(1.5)]`
is fine, for example, and implies that the value is an integer x such that `x > 1.5`.
We suggest that implementors may also interpret `functools.partial(operator.le, 1.5)`
as being equivalent to `Gt(1.5)`, for users who wish to avoid a runtime dependency on
the `annotated-types` package.
To be explicit, these types have the following meanings:
* `Gt(x)` - value must be "Greater Than" `x` - equivalent to exclusive minimum
* `Ge(x)` - value must be "Greater than or Equal" to `x` - equivalent to inclusive minimum
* `Lt(x)` - value must be "Less Than" `x` - equivalent to exclusive maximum
* `Le(x)` - value must be "Less than or Equal" to `x` - equivalent to inclusive maximum
### Interval
`Interval(gt, ge, lt, le)` allows you to specify an upper and lower bound with a single
metadata object. `None` attributes should be ignored, and non-`None` attributes
treated as per the single bounds above.
### MultipleOf
`MultipleOf(multiple_of=x)` might be interpreted in two ways:
1. Python semantics, implying `value % multiple_of == 0`, or
2. [JSONschema semantics](https://json-schema.org/draft/2020-12/json-schema-validation.html#rfc.section.6.2.1),
where `int(value / multiple_of) == value / multiple_of`.
We encourage users to be aware of these two common interpretations and their
distinct behaviours, especially since very large or non-integer numbers make
it easy to cause silent data corruption due to floating-point imprecision.
We encourage libraries to carefully document which interpretation they implement.
### MinLen, MaxLen, Len
`Len()` implies that `min_length <= len(value) <= max_length` - lower and upper bounds are inclusive.
As well as `Len()` which can optionally include upper and lower bounds, we also
provide `MinLen(x)` and `MaxLen(y)` which are equivalent to `Len(min_length=x)`
and `Len(max_length=y)` respectively.
`Len`, `MinLen`, and `MaxLen` may be used with any type which supports `len(value)`.
Examples of usage:
* `Annotated[list, MaxLen(10)]` (or `Annotated[list, Len(max_length=10))`) - list must have a length of 10 or less
* `Annotated[str, MaxLen(10)]` - string must have a length of 10 or less
* `Annotated[list, MinLen(3))` (or `Annotated[list, Len(min_length=3))`) - list must have a length of 3 or more
* `Annotated[list, Len(4, 6)]` - list must have a length of 4, 5, or 6
* `Annotated[list, Len(8, 8)]` - list must have a length of exactly 8
#### Changed in v0.4.0
* `min_inclusive` has been renamed to `min_length`, no change in meaning
* `max_exclusive` has been renamed to `max_length`, upper bound is now **inclusive** instead of **exclusive**
* The recommendation that slices are interpreted as `Len` has been removed due to ambiguity and different semantic
meaning of the upper bound in slices vs. `Len`
See [issue #23](https://github.com/annotated-types/annotated-types/issues/23) for discussion.
### Timezone
`Timezone` can be used with a `datetime` or a `time` to express which timezones
are allowed. `Annotated[datetime, Timezone(None)]` must be a naive datetime.
`Timezone[...]` ([literal ellipsis](https://docs.python.org/3/library/constants.html#Ellipsis))
expresses that any timezone-aware datetime is allowed. You may also pass a specific
timezone string or [`tzinfo`](https://docs.python.org/3/library/datetime.html#tzinfo-objects)
object such as `Timezone(timezone.utc)` or `Timezone("Africa/Abidjan")` to express that you only
allow a specific timezone, though we note that this is often a symptom of fragile design.
#### Changed in v0.x.x
* `Timezone` accepts [`tzinfo`](https://docs.python.org/3/library/datetime.html#tzinfo-objects) objects instead of
`timezone`, extending compatibility to [`zoneinfo`](https://docs.python.org/3/library/zoneinfo.html) and third party libraries.
### Unit
`Unit(unit: str)` expresses that the annotated numeric value is the magnitude of
a quantity with the specified unit. For example, `Annotated[float, Unit("m/s")]`
would be a float representing a velocity in meters per second.
Please note that `annotated_types` itself makes no attempt to parse or validate
the unit string in any way. That is left entirely to downstream libraries,
such as [`pint`](https://pint.readthedocs.io) or
[`astropy.units`](https://docs.astropy.org/en/stable/units/).
An example of how a library might use this metadata:
```python
from annotated_types import Unit
from typing import Annotated, TypeVar, Callable, Any, get_origin, get_args
# given a type annotated with a unit:
Meters = Annotated[float, Unit("m")]
# you can cast the annotation to a specific unit type with any
# callable that accepts a string and returns the desired type
T = TypeVar("T")
def cast_unit(tp: Any, unit_cls: Callable[[str], T]) -> T | None:
if get_origin(tp) is Annotated:
for arg in get_args(tp):
if isinstance(arg, Unit):
return unit_cls(arg.unit)
return None
# using `pint`
import pint
pint_unit = cast_unit(Meters, pint.Unit)
# using `astropy.units`
import astropy.units as u
astropy_unit = cast_unit(Meters, u.Unit)
```
### Predicate
`Predicate(func: Callable)` expresses that `func(value)` is truthy for valid values.
Users should prefer the statically inspectable metadata above, but if you need
the full power and flexibility of arbitrary runtime predicates... here it is.
For some common constraints, we provide generic types:
* `IsLower = Annotated[T, Predicate(str.islower)]`
* `IsUpper = Annotated[T, Predicate(str.isupper)]`
* `IsDigit = Annotated[T, Predicate(str.isdigit)]`
* `IsFinite = Annotated[T, Predicate(math.isfinite)]`
* `IsNotFinite = Annotated[T, Predicate(Not(math.isfinite))]`
* `IsNan = Annotated[T, Predicate(math.isnan)]`
* `IsNotNan = Annotated[T, Predicate(Not(math.isnan))]`
* `IsInfinite = Annotated[T, Predicate(math.isinf)]`
* `IsNotInfinite = Annotated[T, Predicate(Not(math.isinf))]`
so that you can write e.g. `x: IsFinite[float] = 2.0` instead of the longer
(but exactly equivalent) `x: Annotated[float, Predicate(math.isfinite)] = 2.0`.
Some libraries might have special logic to handle known or understandable predicates,
for example by checking for `str.isdigit` and using its presence to both call custom
logic to enforce digit-only strings, and customise some generated external schema.
Users are therefore encouraged to avoid indirection like `lambda s: s.lower()`, in
favor of introspectable methods such as `str.lower` or `re.compile("pattern").search`.
To enable basic negation of commonly used predicates like `math.isnan` without introducing introspection that makes it impossible for implementers to introspect the predicate we provide a `Not` wrapper that simply negates the predicate in an introspectable manner. Several of the predicates listed above are created in this manner.
We do not specify what behaviour should be expected for predicates that raise
an exception. For example `Annotated[int, Predicate(str.isdigit)]` might silently
skip invalid constraints, or statically raise an error; or it might try calling it
and then propagate or discard the resulting
`TypeError: descriptor 'isdigit' for 'str' objects doesn't apply to a 'int' object`
exception. We encourage libraries to document the behaviour they choose.
### Doc
`doc()` can be used to add documentation information in `Annotated`, for function and method parameters, variables, class attributes, return types, and any place where `Annotated` can be used.
It expects a value that can be statically analyzed, as the main use case is for static analysis, editors, documentation generators, and similar tools.
It returns a `DocInfo` class with a single attribute `documentation` containing the value passed to `doc()`.
This is the early adopter's alternative form of the [`typing-doc` proposal](https://github.com/tiangolo/fastapi/blob/typing-doc/typing_doc.md).
### Integrating downstream types with `GroupedMetadata`
Implementers may choose to provide a convenience wrapper that groups multiple pieces of metadata.
This can help reduce verbosity and cognitive overhead for users.
For example, an implementer like Pydantic might provide a `Field` or `Meta` type that accepts keyword arguments and transforms these into low-level metadata:
```python
from dataclasses import dataclass
from typing import Iterator
from annotated_types import GroupedMetadata, Ge
@dataclass
class Field(GroupedMetadata):
ge: int | None = None
description: str | None = None
def __iter__(self) -> Iterator[object]:
# Iterating over a GroupedMetadata object should yield annotated-types
# constraint metadata objects which describe it as fully as possible,
# and may include other unknown objects too.
if self.ge is not None:
yield Ge(self.ge)
if self.description is not None:
yield Description(self.description)
```
Libraries consuming annotated-types constraints should check for `GroupedMetadata` and unpack it by iterating over the object and treating the results as if they had been "unpacked" in the `Annotated` type. The same logic should be applied to the [PEP 646 `Unpack` type](https://peps.python.org/pep-0646/), so that `Annotated[T, Field(...)]`, `Annotated[T, Unpack[Field(...)]]` and `Annotated[T, *Field(...)]` are all treated consistently.
Libraries consuming annotated-types should also ignore any metadata they do not recongize that came from unpacking a `GroupedMetadata`, just like they ignore unrecognized metadata in `Annotated` itself.
Our own `annotated_types.Interval` class is a `GroupedMetadata` which unpacks itself into `Gt`, `Lt`, etc., so this is not an abstract concern. Similarly, `annotated_types.Len` is a `GroupedMetadata` which unpacks itself into `MinLen` (optionally) and `MaxLen`.
### Consuming metadata
We intend to not be prescriptive as to _how_ the metadata and constraints are used, but as an example of how one might parse constraints from types annotations see our [implementation in `test_main.py`](https://github.com/annotated-types/annotated-types/blob/f59cf6d1b5255a0fe359b93896759a180bec30ae/tests/test_main.py#L94-L103).
It is up to the implementer to determine how this metadata is used.
You could use the metadata for runtime type checking, for generating schemas or to generate example data, amongst other use cases.
## Design & History
This package was designed at the PyCon 2022 sprints by the maintainers of Pydantic
and Hypothesis, with the goal of making it as easy as possible for end-users to
provide more informative annotations for use by runtime libraries.
It is deliberately minimal, and following PEP-593 allows considerable downstream
discretion in what (if anything!) they choose to support. Nonetheless, we expect
that staying simple and covering _only_ the most common use-cases will give users
and maintainers the best experience we can. If you'd like more constraints for your
types - follow our lead, by defining them and documenting them downstream!

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Generator: hatchling 1.24.2
Root-Is-Purelib: true
Tag: py3-none-any

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The MIT License (MIT)
Copyright (c) 2022 the contributors
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

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import math
import sys
import types
from dataclasses import dataclass
from datetime import tzinfo
from typing import TYPE_CHECKING, Any, Callable, Iterator, Optional, SupportsFloat, SupportsIndex, TypeVar, Union
if sys.version_info < (3, 8):
from typing_extensions import Protocol, runtime_checkable
else:
from typing import Protocol, runtime_checkable
if sys.version_info < (3, 9):
from typing_extensions import Annotated, Literal
else:
from typing import Annotated, Literal
if sys.version_info < (3, 10):
EllipsisType = type(Ellipsis)
KW_ONLY = {}
SLOTS = {}
else:
from types import EllipsisType
KW_ONLY = {"kw_only": True}
SLOTS = {"slots": True}
__all__ = (
'BaseMetadata',
'GroupedMetadata',
'Gt',
'Ge',
'Lt',
'Le',
'Interval',
'MultipleOf',
'MinLen',
'MaxLen',
'Len',
'Timezone',
'Predicate',
'LowerCase',
'UpperCase',
'IsDigits',
'IsFinite',
'IsNotFinite',
'IsNan',
'IsNotNan',
'IsInfinite',
'IsNotInfinite',
'doc',
'DocInfo',
'__version__',
)
__version__ = '0.7.0'
T = TypeVar('T')
# arguments that start with __ are considered
# positional only
# see https://peps.python.org/pep-0484/#positional-only-arguments
class SupportsGt(Protocol):
def __gt__(self: T, __other: T) -> bool:
...
class SupportsGe(Protocol):
def __ge__(self: T, __other: T) -> bool:
...
class SupportsLt(Protocol):
def __lt__(self: T, __other: T) -> bool:
...
class SupportsLe(Protocol):
def __le__(self: T, __other: T) -> bool:
...
class SupportsMod(Protocol):
def __mod__(self: T, __other: T) -> T:
...
class SupportsDiv(Protocol):
def __div__(self: T, __other: T) -> T:
...
class BaseMetadata:
"""Base class for all metadata.
This exists mainly so that implementers
can do `isinstance(..., BaseMetadata)` while traversing field annotations.
"""
__slots__ = ()
@dataclass(frozen=True, **SLOTS)
class Gt(BaseMetadata):
"""Gt(gt=x) implies that the value must be greater than x.
It can be used with any type that supports the ``>`` operator,
including numbers, dates and times, strings, sets, and so on.
"""
gt: SupportsGt
@dataclass(frozen=True, **SLOTS)
class Ge(BaseMetadata):
"""Ge(ge=x) implies that the value must be greater than or equal to x.
It can be used with any type that supports the ``>=`` operator,
including numbers, dates and times, strings, sets, and so on.
"""
ge: SupportsGe
@dataclass(frozen=True, **SLOTS)
class Lt(BaseMetadata):
"""Lt(lt=x) implies that the value must be less than x.
It can be used with any type that supports the ``<`` operator,
including numbers, dates and times, strings, sets, and so on.
"""
lt: SupportsLt
@dataclass(frozen=True, **SLOTS)
class Le(BaseMetadata):
"""Le(le=x) implies that the value must be less than or equal to x.
It can be used with any type that supports the ``<=`` operator,
including numbers, dates and times, strings, sets, and so on.
"""
le: SupportsLe
@runtime_checkable
class GroupedMetadata(Protocol):
"""A grouping of multiple objects, like typing.Unpack.
`GroupedMetadata` on its own is not metadata and has no meaning.
All of the constraints and metadata should be fully expressable
in terms of the `BaseMetadata`'s returned by `GroupedMetadata.__iter__()`.
Concrete implementations should override `GroupedMetadata.__iter__()`
to add their own metadata.
For example:
>>> @dataclass
>>> class Field(GroupedMetadata):
>>> gt: float | None = None
>>> description: str | None = None
...
>>> def __iter__(self) -> Iterable[object]:
>>> if self.gt is not None:
>>> yield Gt(self.gt)
>>> if self.description is not None:
>>> yield Description(self.gt)
Also see the implementation of `Interval` below for an example.
Parsers should recognize this and unpack it so that it can be used
both with and without unpacking:
- `Annotated[int, Field(...)]` (parser must unpack Field)
- `Annotated[int, *Field(...)]` (PEP-646)
""" # noqa: trailing-whitespace
@property
def __is_annotated_types_grouped_metadata__(self) -> Literal[True]:
return True
def __iter__(self) -> Iterator[object]:
...
if not TYPE_CHECKING:
__slots__ = () # allow subclasses to use slots
def __init_subclass__(cls, *args: Any, **kwargs: Any) -> None:
# Basic ABC like functionality without the complexity of an ABC
super().__init_subclass__(*args, **kwargs)
if cls.__iter__ is GroupedMetadata.__iter__:
raise TypeError("Can't subclass GroupedMetadata without implementing __iter__")
def __iter__(self) -> Iterator[object]: # noqa: F811
raise NotImplementedError # more helpful than "None has no attribute..." type errors
@dataclass(frozen=True, **KW_ONLY, **SLOTS)
class Interval(GroupedMetadata):
"""Interval can express inclusive or exclusive bounds with a single object.
It accepts keyword arguments ``gt``, ``ge``, ``lt``, and/or ``le``, which
are interpreted the same way as the single-bound constraints.
"""
gt: Union[SupportsGt, None] = None
ge: Union[SupportsGe, None] = None
lt: Union[SupportsLt, None] = None
le: Union[SupportsLe, None] = None
def __iter__(self) -> Iterator[BaseMetadata]:
"""Unpack an Interval into zero or more single-bounds."""
if self.gt is not None:
yield Gt(self.gt)
if self.ge is not None:
yield Ge(self.ge)
if self.lt is not None:
yield Lt(self.lt)
if self.le is not None:
yield Le(self.le)
@dataclass(frozen=True, **SLOTS)
class MultipleOf(BaseMetadata):
"""MultipleOf(multiple_of=x) might be interpreted in two ways:
1. Python semantics, implying ``value % multiple_of == 0``, or
2. JSONschema semantics, where ``int(value / multiple_of) == value / multiple_of``
We encourage users to be aware of these two common interpretations,
and libraries to carefully document which they implement.
"""
multiple_of: Union[SupportsDiv, SupportsMod]
@dataclass(frozen=True, **SLOTS)
class MinLen(BaseMetadata):
"""
MinLen() implies minimum inclusive length,
e.g. ``len(value) >= min_length``.
"""
min_length: Annotated[int, Ge(0)]
@dataclass(frozen=True, **SLOTS)
class MaxLen(BaseMetadata):
"""
MaxLen() implies maximum inclusive length,
e.g. ``len(value) <= max_length``.
"""
max_length: Annotated[int, Ge(0)]
@dataclass(frozen=True, **SLOTS)
class Len(GroupedMetadata):
"""
Len() implies that ``min_length <= len(value) <= max_length``.
Upper bound may be omitted or ``None`` to indicate no upper length bound.
"""
min_length: Annotated[int, Ge(0)] = 0
max_length: Optional[Annotated[int, Ge(0)]] = None
def __iter__(self) -> Iterator[BaseMetadata]:
"""Unpack a Len into zone or more single-bounds."""
if self.min_length > 0:
yield MinLen(self.min_length)
if self.max_length is not None:
yield MaxLen(self.max_length)
@dataclass(frozen=True, **SLOTS)
class Timezone(BaseMetadata):
"""Timezone(tz=...) requires a datetime to be aware (or ``tz=None``, naive).
``Annotated[datetime, Timezone(None)]`` must be a naive datetime.
``Timezone[...]`` (the ellipsis literal) expresses that the datetime must be
tz-aware but any timezone is allowed.
You may also pass a specific timezone string or tzinfo object such as
``Timezone(timezone.utc)`` or ``Timezone("Africa/Abidjan")`` to express that
you only allow a specific timezone, though we note that this is often
a symptom of poor design.
"""
tz: Union[str, tzinfo, EllipsisType, None]
@dataclass(frozen=True, **SLOTS)
class Unit(BaseMetadata):
"""Indicates that the value is a physical quantity with the specified unit.
It is intended for usage with numeric types, where the value represents the
magnitude of the quantity. For example, ``distance: Annotated[float, Unit('m')]``
or ``speed: Annotated[float, Unit('m/s')]``.
Interpretation of the unit string is left to the discretion of the consumer.
It is suggested to follow conventions established by python libraries that work
with physical quantities, such as
- ``pint`` : <https://pint.readthedocs.io/en/stable/>
- ``astropy.units``: <https://docs.astropy.org/en/stable/units/>
For indicating a quantity with a certain dimensionality but without a specific unit
it is recommended to use square brackets, e.g. `Annotated[float, Unit('[time]')]`.
Note, however, ``annotated_types`` itself makes no use of the unit string.
"""
unit: str
@dataclass(frozen=True, **SLOTS)
class Predicate(BaseMetadata):
"""``Predicate(func: Callable)`` implies `func(value)` is truthy for valid values.
Users should prefer statically inspectable metadata, but if you need the full
power and flexibility of arbitrary runtime predicates... here it is.
We provide a few predefined predicates for common string constraints:
``IsLower = Predicate(str.islower)``, ``IsUpper = Predicate(str.isupper)``, and
``IsDigits = Predicate(str.isdigit)``. Users are encouraged to use methods which
can be given special handling, and avoid indirection like ``lambda s: s.lower()``.
Some libraries might have special logic to handle certain predicates, e.g. by
checking for `str.isdigit` and using its presence to both call custom logic to
enforce digit-only strings, and customise some generated external schema.
We do not specify what behaviour should be expected for predicates that raise
an exception. For example `Annotated[int, Predicate(str.isdigit)]` might silently
skip invalid constraints, or statically raise an error; or it might try calling it
and then propagate or discard the resulting exception.
"""
func: Callable[[Any], bool]
def __repr__(self) -> str:
if getattr(self.func, "__name__", "<lambda>") == "<lambda>":
return f"{self.__class__.__name__}({self.func!r})"
if isinstance(self.func, (types.MethodType, types.BuiltinMethodType)) and (
namespace := getattr(self.func.__self__, "__name__", None)
):
return f"{self.__class__.__name__}({namespace}.{self.func.__name__})"
if isinstance(self.func, type(str.isascii)): # method descriptor
return f"{self.__class__.__name__}({self.func.__qualname__})"
return f"{self.__class__.__name__}({self.func.__name__})"
@dataclass
class Not:
func: Callable[[Any], bool]
def __call__(self, __v: Any) -> bool:
return not self.func(__v)
_StrType = TypeVar("_StrType", bound=str)
LowerCase = Annotated[_StrType, Predicate(str.islower)]
"""
Return True if the string is a lowercase string, False otherwise.
A string is lowercase if all cased characters in the string are lowercase and there is at least one cased character in the string.
""" # noqa: E501
UpperCase = Annotated[_StrType, Predicate(str.isupper)]
"""
Return True if the string is an uppercase string, False otherwise.
A string is uppercase if all cased characters in the string are uppercase and there is at least one cased character in the string.
""" # noqa: E501
IsDigit = Annotated[_StrType, Predicate(str.isdigit)]
IsDigits = IsDigit # type: ignore # plural for backwards compatibility, see #63
"""
Return True if the string is a digit string, False otherwise.
A string is a digit string if all characters in the string are digits and there is at least one character in the string.
""" # noqa: E501
IsAscii = Annotated[_StrType, Predicate(str.isascii)]
"""
Return True if all characters in the string are ASCII, False otherwise.
ASCII characters have code points in the range U+0000-U+007F. Empty string is ASCII too.
"""
_NumericType = TypeVar('_NumericType', bound=Union[SupportsFloat, SupportsIndex])
IsFinite = Annotated[_NumericType, Predicate(math.isfinite)]
"""Return True if x is neither an infinity nor a NaN, and False otherwise."""
IsNotFinite = Annotated[_NumericType, Predicate(Not(math.isfinite))]
"""Return True if x is one of infinity or NaN, and False otherwise"""
IsNan = Annotated[_NumericType, Predicate(math.isnan)]
"""Return True if x is a NaN (not a number), and False otherwise."""
IsNotNan = Annotated[_NumericType, Predicate(Not(math.isnan))]
"""Return True if x is anything but NaN (not a number), and False otherwise."""
IsInfinite = Annotated[_NumericType, Predicate(math.isinf)]
"""Return True if x is a positive or negative infinity, and False otherwise."""
IsNotInfinite = Annotated[_NumericType, Predicate(Not(math.isinf))]
"""Return True if x is neither a positive or negative infinity, and False otherwise."""
try:
from typing_extensions import DocInfo, doc # type: ignore [attr-defined]
except ImportError:
@dataclass(frozen=True, **SLOTS)
class DocInfo: # type: ignore [no-redef]
""" "
The return value of doc(), mainly to be used by tools that want to extract the
Annotated documentation at runtime.
"""
documentation: str
"""The documentation string passed to doc()."""
def doc(
documentation: str,
) -> DocInfo:
"""
Add documentation to a type annotation inside of Annotated.
For example:
>>> def hi(name: Annotated[int, doc("The name of the user")]) -> None: ...
"""
return DocInfo(documentation)

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import math
import sys
from datetime import date, datetime, timedelta, timezone
from decimal import Decimal
from typing import Any, Dict, Iterable, Iterator, List, NamedTuple, Set, Tuple
if sys.version_info < (3, 9):
from typing_extensions import Annotated
else:
from typing import Annotated
import annotated_types as at
class Case(NamedTuple):
"""
A test case for `annotated_types`.
"""
annotation: Any
valid_cases: Iterable[Any]
invalid_cases: Iterable[Any]
def cases() -> Iterable[Case]:
# Gt, Ge, Lt, Le
yield Case(Annotated[int, at.Gt(4)], (5, 6, 1000), (4, 0, -1))
yield Case(Annotated[float, at.Gt(0.5)], (0.6, 0.7, 0.8, 0.9), (0.5, 0.0, -0.1))
yield Case(
Annotated[datetime, at.Gt(datetime(2000, 1, 1))],
[datetime(2000, 1, 2), datetime(2000, 1, 3)],
[datetime(2000, 1, 1), datetime(1999, 12, 31)],
)
yield Case(
Annotated[datetime, at.Gt(date(2000, 1, 1))],
[date(2000, 1, 2), date(2000, 1, 3)],
[date(2000, 1, 1), date(1999, 12, 31)],
)
yield Case(
Annotated[datetime, at.Gt(Decimal('1.123'))],
[Decimal('1.1231'), Decimal('123')],
[Decimal('1.123'), Decimal('0')],
)
yield Case(Annotated[int, at.Ge(4)], (4, 5, 6, 1000, 4), (0, -1))
yield Case(Annotated[float, at.Ge(0.5)], (0.5, 0.6, 0.7, 0.8, 0.9), (0.4, 0.0, -0.1))
yield Case(
Annotated[datetime, at.Ge(datetime(2000, 1, 1))],
[datetime(2000, 1, 2), datetime(2000, 1, 3)],
[datetime(1998, 1, 1), datetime(1999, 12, 31)],
)
yield Case(Annotated[int, at.Lt(4)], (0, -1), (4, 5, 6, 1000, 4))
yield Case(Annotated[float, at.Lt(0.5)], (0.4, 0.0, -0.1), (0.5, 0.6, 0.7, 0.8, 0.9))
yield Case(
Annotated[datetime, at.Lt(datetime(2000, 1, 1))],
[datetime(1999, 12, 31), datetime(1999, 12, 31)],
[datetime(2000, 1, 2), datetime(2000, 1, 3)],
)
yield Case(Annotated[int, at.Le(4)], (4, 0, -1), (5, 6, 1000))
yield Case(Annotated[float, at.Le(0.5)], (0.5, 0.0, -0.1), (0.6, 0.7, 0.8, 0.9))
yield Case(
Annotated[datetime, at.Le(datetime(2000, 1, 1))],
[datetime(2000, 1, 1), datetime(1999, 12, 31)],
[datetime(2000, 1, 2), datetime(2000, 1, 3)],
)
# Interval
yield Case(Annotated[int, at.Interval(gt=4)], (5, 6, 1000), (4, 0, -1))
yield Case(Annotated[int, at.Interval(gt=4, lt=10)], (5, 6), (4, 10, 1000, 0, -1))
yield Case(Annotated[float, at.Interval(ge=0.5, le=1)], (0.5, 0.9, 1), (0.49, 1.1))
yield Case(
Annotated[datetime, at.Interval(gt=datetime(2000, 1, 1), le=datetime(2000, 1, 3))],
[datetime(2000, 1, 2), datetime(2000, 1, 3)],
[datetime(2000, 1, 1), datetime(2000, 1, 4)],
)
yield Case(Annotated[int, at.MultipleOf(multiple_of=3)], (0, 3, 9), (1, 2, 4))
yield Case(Annotated[float, at.MultipleOf(multiple_of=0.5)], (0, 0.5, 1, 1.5), (0.4, 1.1))
# lengths
yield Case(Annotated[str, at.MinLen(3)], ('123', '1234', 'x' * 10), ('', '1', '12'))
yield Case(Annotated[str, at.Len(3)], ('123', '1234', 'x' * 10), ('', '1', '12'))
yield Case(Annotated[List[int], at.MinLen(3)], ([1, 2, 3], [1, 2, 3, 4], [1] * 10), ([], [1], [1, 2]))
yield Case(Annotated[List[int], at.Len(3)], ([1, 2, 3], [1, 2, 3, 4], [1] * 10), ([], [1], [1, 2]))
yield Case(Annotated[str, at.MaxLen(4)], ('', '1234'), ('12345', 'x' * 10))
yield Case(Annotated[str, at.Len(0, 4)], ('', '1234'), ('12345', 'x' * 10))
yield Case(Annotated[List[str], at.MaxLen(4)], ([], ['a', 'bcdef'], ['a', 'b', 'c']), (['a'] * 5, ['b'] * 10))
yield Case(Annotated[List[str], at.Len(0, 4)], ([], ['a', 'bcdef'], ['a', 'b', 'c']), (['a'] * 5, ['b'] * 10))
yield Case(Annotated[str, at.Len(3, 5)], ('123', '12345'), ('', '1', '12', '123456', 'x' * 10))
yield Case(Annotated[str, at.Len(3, 3)], ('123',), ('12', '1234'))
yield Case(Annotated[Dict[int, int], at.Len(2, 3)], [{1: 1, 2: 2}], [{}, {1: 1}, {1: 1, 2: 2, 3: 3, 4: 4}])
yield Case(Annotated[Set[int], at.Len(2, 3)], ({1, 2}, {1, 2, 3}), (set(), {1}, {1, 2, 3, 4}))
yield Case(Annotated[Tuple[int, ...], at.Len(2, 3)], ((1, 2), (1, 2, 3)), ((), (1,), (1, 2, 3, 4)))
# Timezone
yield Case(
Annotated[datetime, at.Timezone(None)], [datetime(2000, 1, 1)], [datetime(2000, 1, 1, tzinfo=timezone.utc)]
)
yield Case(
Annotated[datetime, at.Timezone(...)], [datetime(2000, 1, 1, tzinfo=timezone.utc)], [datetime(2000, 1, 1)]
)
yield Case(
Annotated[datetime, at.Timezone(timezone.utc)],
[datetime(2000, 1, 1, tzinfo=timezone.utc)],
[datetime(2000, 1, 1), datetime(2000, 1, 1, tzinfo=timezone(timedelta(hours=6)))],
)
yield Case(
Annotated[datetime, at.Timezone('Europe/London')],
[datetime(2000, 1, 1, tzinfo=timezone(timedelta(0), name='Europe/London'))],
[datetime(2000, 1, 1), datetime(2000, 1, 1, tzinfo=timezone(timedelta(hours=6)))],
)
# Quantity
yield Case(Annotated[float, at.Unit(unit='m')], (5, 4.2), ('5m', '4.2m'))
# predicate types
yield Case(at.LowerCase[str], ['abc', 'foobar'], ['', 'A', 'Boom'])
yield Case(at.UpperCase[str], ['ABC', 'DEFO'], ['', 'a', 'abc', 'AbC'])
yield Case(at.IsDigit[str], ['123'], ['', 'ab', 'a1b2'])
yield Case(at.IsAscii[str], ['123', 'foo bar'], ['£100', '😊', 'whatever 👀'])
yield Case(Annotated[int, at.Predicate(lambda x: x % 2 == 0)], [0, 2, 4], [1, 3, 5])
yield Case(at.IsFinite[float], [1.23], [math.nan, math.inf, -math.inf])
yield Case(at.IsNotFinite[float], [math.nan, math.inf], [1.23])
yield Case(at.IsNan[float], [math.nan], [1.23, math.inf])
yield Case(at.IsNotNan[float], [1.23, math.inf], [math.nan])
yield Case(at.IsInfinite[float], [math.inf], [math.nan, 1.23])
yield Case(at.IsNotInfinite[float], [math.nan, 1.23], [math.inf])
# check stacked predicates
yield Case(at.IsInfinite[Annotated[float, at.Predicate(lambda x: x > 0)]], [math.inf], [-math.inf, 1.23, math.nan])
# doc
yield Case(Annotated[int, at.doc("A number")], [1, 2], [])
# custom GroupedMetadata
class MyCustomGroupedMetadata(at.GroupedMetadata):
def __iter__(self) -> Iterator[at.Predicate]:
yield at.Predicate(lambda x: float(x).is_integer())
yield Case(Annotated[float, MyCustomGroupedMetadata()], [0, 2.0], [0.01, 1.5])

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Metadata-Version: 2.4
Name: anyio
Version: 4.12.1
Summary: High-level concurrency and networking framework on top of asyncio or Trio
Author-email: Alex Grönholm <alex.gronholm@nextday.fi>
License-Expression: MIT
Project-URL: Documentation, https://anyio.readthedocs.io/en/latest/
Project-URL: Changelog, https://anyio.readthedocs.io/en/stable/versionhistory.html
Project-URL: Source code, https://github.com/agronholm/anyio
Project-URL: Issue tracker, https://github.com/agronholm/anyio/issues
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Framework :: AnyIO
Classifier: Typing :: Typed
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Programming Language :: Python :: 3.14
Requires-Python: >=3.9
Description-Content-Type: text/x-rst
License-File: LICENSE
Requires-Dist: exceptiongroup>=1.0.2; python_version < "3.11"
Requires-Dist: idna>=2.8
Requires-Dist: typing_extensions>=4.5; python_version < "3.13"
Provides-Extra: trio
Requires-Dist: trio>=0.32.0; python_version >= "3.10" and extra == "trio"
Requires-Dist: trio>=0.31.0; python_version < "3.10" and extra == "trio"
Dynamic: license-file
.. image:: https://github.com/agronholm/anyio/actions/workflows/test.yml/badge.svg
:target: https://github.com/agronholm/anyio/actions/workflows/test.yml
:alt: Build Status
.. image:: https://coveralls.io/repos/github/agronholm/anyio/badge.svg?branch=master
:target: https://coveralls.io/github/agronholm/anyio?branch=master
:alt: Code Coverage
.. image:: https://readthedocs.org/projects/anyio/badge/?version=latest
:target: https://anyio.readthedocs.io/en/latest/?badge=latest
:alt: Documentation
.. image:: https://badges.gitter.im/gitterHQ/gitter.svg
:target: https://gitter.im/python-trio/AnyIO
:alt: Gitter chat
AnyIO is an asynchronous networking and concurrency library that works on top of either asyncio_ or
Trio_. It implements Trio-like `structured concurrency`_ (SC) on top of asyncio and works in harmony
with the native SC of Trio itself.
Applications and libraries written against AnyIO's API will run unmodified on either asyncio_ or
Trio_. AnyIO can also be adopted into a library or application incrementally – bit by bit, no full
refactoring necessary. It will blend in with the native libraries of your chosen backend.
To find out why you might want to use AnyIO's APIs instead of asyncio's, you can read about it
`here <https://anyio.readthedocs.io/en/stable/why.html>`_.
Documentation
-------------
View full documentation at: https://anyio.readthedocs.io/
Features
--------
AnyIO offers the following functionality:
* Task groups (nurseries_ in trio terminology)
* High-level networking (TCP, UDP and UNIX sockets)
* `Happy eyeballs`_ algorithm for TCP connections (more robust than that of asyncio on Python
3.8)
* async/await style UDP sockets (unlike asyncio where you still have to use Transports and
Protocols)
* A versatile API for byte streams and object streams
* Inter-task synchronization and communication (locks, conditions, events, semaphores, object
streams)
* Worker threads
* Subprocesses
* Subinterpreter support for code parallelization (on Python 3.13 and later)
* Asynchronous file I/O (using worker threads)
* Signal handling
* Asynchronous version of the functools_ module
AnyIO also comes with its own pytest_ plugin which also supports asynchronous fixtures.
It even works with the popular Hypothesis_ library.
.. _asyncio: https://docs.python.org/3/library/asyncio.html
.. _Trio: https://github.com/python-trio/trio
.. _structured concurrency: https://en.wikipedia.org/wiki/Structured_concurrency
.. _nurseries: https://trio.readthedocs.io/en/stable/reference-core.html#nurseries-and-spawning
.. _Happy eyeballs: https://en.wikipedia.org/wiki/Happy_Eyeballs
.. _pytest: https://docs.pytest.org/en/latest/
.. _functools: https://docs.python.org/3/library/functools.html
.. _Hypothesis: https://hypothesis.works/

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