Add files using upload-large-folder tool

download_datasets.py

@@ -0,0 +1,68 @@
+from datasets import load_dataset
+import os
+# List of datasets to download
+datasets_to_download = [
+    'arc_challenge',           # arc-challenge-indic
+    'audio_evals',             # audiollm-evals  
+    'boolq_indic',             # boolq-indic
+    'contextual_asr_benchmark', # contextual_asr_benchmark
+    'gsm8k_indic',             # gsm8k-indic
+    'mmlu_indic',              # mmlu-indic
+    'olmOCR_Bench_English',    # olmOCR-Bench-English
+    'samvaad_hi_v1',           # samvaad-hi-v1
+    'sarvam_dub_benchmark_set', # sarvam-dub-benchmark-set
+    'trivia_qa_indic_mcq',     # trivia-qa-indic-mcq
+    'tts_general_benchmark',   # tts-general-benchmark
+    'tts_robustness_benchmark'  # tts-robustness-benchmark
+]
+# Create directory for datasets
+os.makedirs('datasets', exist_ok=True)
+# Download each dataset
+for dataset_name in datasets_to_download:
+    try:
+        print(f"Downloading {dataset_name}...")
+        dataset = load_dataset(dataset_name)
+        
+        # Save to disk
+        output_path = f'datasets/{dataset_name}'
+        if isinstance(dataset, dict):
+            # If it's a dictionary (train/test/validation splits)
+            for split_name, split_data in dataset.items():
+                split_path = f'{output_path}_{split_name}'
+                split_data.save_to_disk(split_path)
+                print(f"  Saved {split_name} split to {split_path}")
+        else:
+            # If it's a single dataset
+            dataset.save_to_disk(output_path)
+            print(f"  Saved to {output_path}")
+            
+    except Exception as e:
+        print(f"  Failed to download {dataset_name}: {str(e)}")
+        print(f"  Trying alternative names...")
+        
+        # Try some common variations
+        alternatives = [
+            dataset_name.replace('_indic', ''),
+            dataset_name.replace('_indic', '_indian'),
+            dataset_name.replace('_benchmark', '_benchmarks'),
+            dataset_name.replace('_general', '_general_bench'),
+            dataset_name.replace('_robustness', '_robust'),
+        ]
+        
+        for alt_name in alternatives:
+            try:
+                print(f"  Trying: {alt_name}")
+                dataset = load_dataset(alt_name)
+                output_path = f'datasets/{alt_name}'
+                if isinstance(dataset, dict):
+                    for split_name, split_data in dataset.items():
+                        split_path = f'{output_path}_{split_name}'
+                        split_data.save_to_disk(split_path)
+                        print(f"    Saved {split_name} split to {split_path}")
+                else:
+                    dataset.save_to_disk(output_path)
+                    print(f"    Saved to {output_path}")
+                break
+            except:
+                continue
+print("Dataset download complete!")

venv/lib/python3.12/site-packages/h11-0.16.0.dist-info/INSTALLER

@@ -0,0 +1 @@
+pip

venv/lib/python3.12/site-packages/h11-0.16.0.dist-info/METADATA

@@ -0,0 +1,202 @@
+Metadata-Version: 2.4
+Name: h11
+Version: 0.16.0
+Summary: A pure-Python, bring-your-own-I/O implementation of HTTP/1.1
+Home-page: https://github.com/python-hyper/h11
+Author: Nathaniel J. Smith
+Author-email: njs@pobox.com
+License: MIT
+Classifier: Development Status :: 3 - Alpha
+Classifier: Intended Audience :: Developers
+Classifier: License :: OSI Approved :: MIT License
+Classifier: Programming Language :: Python :: Implementation :: CPython
+Classifier: Programming Language :: Python :: Implementation :: PyPy
+Classifier: Programming Language :: Python :: 3
+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 :: Internet :: WWW/HTTP
+Classifier: Topic :: System :: Networking
+Requires-Python: >=3.8
+License-File: LICENSE.txt
+Dynamic: author
+Dynamic: author-email
+Dynamic: classifier
+Dynamic: description
+Dynamic: home-page
+Dynamic: license
+Dynamic: license-file
+Dynamic: requires-python
+Dynamic: summary
+
+h11
+===
+
+.. image:: https://travis-ci.org/python-hyper/h11.svg?branch=master
+   :target: https://travis-ci.org/python-hyper/h11
+   :alt: Automated test status
+
+.. image:: https://codecov.io/gh/python-hyper/h11/branch/master/graph/badge.svg
+   :target: https://codecov.io/gh/python-hyper/h11
+   :alt: Test coverage
+
+.. image:: https://readthedocs.org/projects/h11/badge/?version=latest
+   :target: http://h11.readthedocs.io/en/latest/?badge=latest
+   :alt: Documentation Status
+
+This is a little HTTP/1.1 library written from scratch in Python,
+heavily inspired by `hyper-h2 <https://hyper-h2.readthedocs.io/>`_.
+
+It's a "bring-your-own-I/O" library; h11 contains no IO code
+whatsoever. This means you can hook h11 up to your favorite network
+API, and that could be anything you want: synchronous, threaded,
+asynchronous, or your own implementation of `RFC 6214
+<https://tools.ietf.org/html/rfc6214>`_ -- h11 won't judge you.
+(Compare this to the current state of the art, where every time a `new
+network API <https://trio.readthedocs.io/>`_ comes along then someone
+gets to start over reimplementing the entire HTTP protocol from
+scratch.) Cory Benfield made an `excellent blog post describing the
+benefits of this approach
+<https://lukasa.co.uk/2015/10/The_New_Hyper/>`_, or if you like video
+then here's his `PyCon 2016 talk on the same theme
+<https://www.youtube.com/watch?v=7cC3_jGwl_U>`_.
+
+This also means that h11 is not immediately useful out of the box:
+it's a toolkit for building programs that speak HTTP, not something
+that could directly replace ``requests`` or ``twisted.web`` or
+whatever. But h11 makes it much easier to implement something like
+``requests`` or ``twisted.web``.
+
+At a high level, working with h11 goes like this:
+
+1) First, create an ``h11.Connection`` object to track the state of a
+   single HTTP/1.1 connection.
+
+2) When you read data off the network, pass it to
+   ``conn.receive_data(...)``; you'll get back a list of objects
+   representing high-level HTTP "events".
+
+3) When you want to send a high-level HTTP event, create the
+   corresponding "event" object and pass it to ``conn.send(...)``;
+   this will give you back some bytes that you can then push out
+   through the network.
+
+For example, a client might instantiate and then send a
+``h11.Request`` object, then zero or more ``h11.Data`` objects for the
+request body (e.g., if this is a POST), and then a
+``h11.EndOfMessage`` to indicate the end of the message. Then the
+server would then send back a ``h11.Response``, some ``h11.Data``, and
+its own ``h11.EndOfMessage``. If either side violates the protocol,
+you'll get a ``h11.ProtocolError`` exception.
+
+h11 is suitable for implementing both servers and clients, and has a
+pleasantly symmetric API: the events you send as a client are exactly
+the ones that you receive as a server and vice-versa.
+
+`Here's an example of a tiny HTTP client
+<https://github.com/python-hyper/h11/blob/master/examples/basic-client.py>`_
+
+It also has `a fine manual <https://h11.readthedocs.io/>`_.
+
+FAQ
+---
+
+*Whyyyyy?*
+
+I wanted to play with HTTP in `Curio
+<https://curio.readthedocs.io/en/latest/tutorial.html>`__ and `Trio
+<https://trio.readthedocs.io>`__, which at the time didn't have any
+HTTP libraries. So I thought, no big deal, Python has, like, a dozen
+different implementations of HTTP, surely I can find one that's
+reusable. I didn't find one, but I did find Cory's call-to-arms
+blog-post. So I figured, well, fine, if I have to implement HTTP from
+scratch, at least I can make sure no-one *else* has to ever again.
+
+*Should I use it?*
+
+Maybe. You should be aware that it's a very young project. But, it's
+feature complete and has an exhaustive test-suite and complete docs,
+so the next step is for people to try using it and see how it goes
+:-). If you do then please let us know -- if nothing else we'll want
+to talk to you before making any incompatible changes!
+
+*What are the features/limitations?*
+
+Roughly speaking, it's trying to be a robust, complete, and non-hacky
+implementation of the first "chapter" of the HTTP/1.1 spec: `RFC 7230:
+HTTP/1.1 Message Syntax and Routing
+<https://tools.ietf.org/html/rfc7230>`_. That is, it mostly focuses on
+implementing HTTP at the level of taking bytes on and off the wire,
+and the headers related to that, and tries to be anal about spec
+conformance. It doesn't know about higher-level concerns like URL
+routing, conditional GETs, cross-origin cookie policies, or content
+negotiation. But it does know how to take care of framing,
+cross-version differences in keep-alive handling, and the "obsolete
+line folding" rule, so you can focus your energies on the hard /
+interesting parts for your application, and it tries to support the
+full specification in the sense that any useful HTTP/1.1 conformant
+application should be able to use h11.
+
+It's pure Python, and has no dependencies outside of the standard
+library.
+
+It has a test suite with 100.0% coverage for both statements and
+branches.
+
+Currently it supports Python 3 (testing on 3.8-3.12) and PyPy 3.
+The last Python 2-compatible version was h11 0.11.x.
+(Originally it had a Cython wrapper for `http-parser
+<https://github.com/nodejs/http-parser>`_ and a beautiful nested state
+machine implemented with ``yield from`` to postprocess the output. But
+I had to take these out -- the new *parser* needs fewer lines-of-code
+than the old *parser wrapper*, is written in pure Python, uses no
+exotic language syntax, and has more features. It's sad, really; that
+old state machine was really slick. I just need a few sentences here
+to mourn that.)
+
+I don't know how fast it is. I haven't benchmarked or profiled it yet,
+so it's probably got a few pointless hot spots, and I've been trying
+to err on the side of simplicity and robustness instead of
+micro-optimization. But at the architectural level I tried hard to
+avoid fundamentally bad decisions, e.g., I believe that all the
+parsing algorithms remain linear-time even in the face of pathological
+input like slowloris, and there are no byte-by-byte loops. (I also
+believe that it maintains bounded memory usage in the face of
+arbitrary/pathological input.)
+
+The whole library is ~800 lines-of-code. You can read and understand
+the whole thing in less than an hour. Most of the energy invested in
+this so far has been spent on trying to keep things simple by
+minimizing special-cases and ad hoc state manipulation; even though it
+is now quite small and simple, I'm still annoyed that I haven't
+figured out how to make it even smaller and simpler. (Unfortunately,
+HTTP does not lend itself to simplicity.)
+
+The API is ~feature complete and I don't expect the general outlines
+to change much, but you can't judge an API's ergonomics until you
+actually document and use it, so I'd expect some changes in the
+details.
+
+*How do I try it?*
+
+.. code-block:: sh
+
+  $ pip install h11
+  $ git clone git@github.com:python-hyper/h11
+  $ cd h11/examples
+  $ python basic-client.py
+
+and go from there.
+
+*License?*
+
+MIT
+
+*Code of conduct?*
+
+Contributors are requested to follow our `code of conduct
+<https://github.com/python-hyper/h11/blob/master/CODE_OF_CONDUCT.md>`_ in
+all project spaces.

venv/lib/python3.12/site-packages/h11-0.16.0.dist-info/RECORD

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+h11-0.16.0.dist-info/licenses/LICENSE.txt,sha256=N9tbuFkm2yikJ6JYZ_ELEjIAOuob5pzLhRE4rbjm82E,1124
+h11-0.16.0.dist-info/top_level.txt,sha256=F7dC4jl3zeh8TGHEPaWJrMbeuoWbS379Gwdi-Yvdcis,4
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venv/lib/python3.12/site-packages/h11-0.16.0.dist-info/WHEEL

@@ -0,0 +1,5 @@
+Wheel-Version: 1.0
+Generator: setuptools (78.1.0)
+Root-Is-Purelib: true
+Tag: py3-none-any
+

venv/lib/python3.12/site-packages/h11-0.16.0.dist-info/top_level.txt

@@ -0,0 +1 @@
+h11

venv/lib/python3.12/site-packages/h11/__init__.py

@@ -0,0 +1,62 @@
+# A highish-level implementation of the HTTP/1.1 wire protocol (RFC 7230),
+# containing no networking code at all, loosely modelled on hyper-h2's generic
+# implementation of HTTP/2 (and in particular the h2.connection.H2Connection
+# class). There's still a bunch of subtle details you need to get right if you
+# want to make this actually useful, because it doesn't implement all the
+# semantics to check that what you're asking to write to the wire is sensible,
+# but at least it gets you out of dealing with the wire itself.
+
+from h11._connection import Connection, NEED_DATA, PAUSED
+from h11._events import (
+    ConnectionClosed,
+    Data,
+    EndOfMessage,
+    Event,
+    InformationalResponse,
+    Request,
+    Response,
+)
+from h11._state import (
+    CLIENT,
+    CLOSED,
+    DONE,
+    ERROR,
+    IDLE,
+    MIGHT_SWITCH_PROTOCOL,
+    MUST_CLOSE,
+    SEND_BODY,
+    SEND_RESPONSE,
+    SERVER,
+    SWITCHED_PROTOCOL,
+)
+from h11._util import LocalProtocolError, ProtocolError, RemoteProtocolError
+from h11._version import __version__
+
+PRODUCT_ID = "python-h11/" + __version__
+
+
+__all__ = (
+    "Connection",
+    "NEED_DATA",
+    "PAUSED",
+    "ConnectionClosed",
+    "Data",
+    "EndOfMessage",
+    "Event",
+    "InformationalResponse",
+    "Request",
+    "Response",
+    "CLIENT",
+    "CLOSED",
+    "DONE",
+    "ERROR",
+    "IDLE",
+    "MUST_CLOSE",
+    "SEND_BODY",
+    "SEND_RESPONSE",
+    "SERVER",
+    "SWITCHED_PROTOCOL",
+    "ProtocolError",
+    "LocalProtocolError",
+    "RemoteProtocolError",
+)

venv/lib/python3.12/site-packages/h11/_abnf.py

@@ -0,0 +1,132 @@
+# We use native strings for all the re patterns, to take advantage of string
+# formatting, and then convert to bytestrings when compiling the final re
+# objects.
+
+# https://svn.tools.ietf.org/svn/wg/httpbis/specs/rfc7230.html#whitespace
+#  OWS            = *( SP / HTAB )
+#                 ; optional whitespace
+OWS = r"[ \t]*"
+
+# https://svn.tools.ietf.org/svn/wg/httpbis/specs/rfc7230.html#rule.token.separators
+#   token          = 1*tchar
+#
+#   tchar          = "!" / "#" / "$" / "%" / "&" / "'" / "*"
+#                  / "+" / "-" / "." / "^" / "_" / "`" / "|" / "~"
+#                  / DIGIT / ALPHA
+#                  ; any VCHAR, except delimiters
+token = r"[-!#$%&'*+.^_`|~0-9a-zA-Z]+"
+
+# https://svn.tools.ietf.org/svn/wg/httpbis/specs/rfc7230.html#header.fields
+#  field-name     = token
+field_name = token
+
+# The standard says:
+#
+#  field-value    = *( field-content / obs-fold )
+#  field-content  = field-vchar [ 1*( SP / HTAB ) field-vchar ]
+#  field-vchar    = VCHAR / obs-text
+#  obs-fold       = CRLF 1*( SP / HTAB )
+#                 ; obsolete line folding
+#                 ; see Section 3.2.4
+#
+# https://tools.ietf.org/html/rfc5234#appendix-B.1
+#
+#   VCHAR          =  %x21-7E
+#                  ; visible (printing) characters
+#
+# https://svn.tools.ietf.org/svn/wg/httpbis/specs/rfc7230.html#rule.quoted-string
+#   obs-text       = %x80-FF
+#
+# However, the standard definition of field-content is WRONG! It disallows
+# fields containing a single visible character surrounded by whitespace,
+# e.g. "foo a bar".
+#
+# See: https://www.rfc-editor.org/errata_search.php?rfc=7230&eid=4189
+#
+# So our definition of field_content attempts to fix it up...
+#
+# Also, we allow lots of control characters, because apparently people assume
+# that they're legal in practice (e.g., google analytics makes cookies with
+# \x01 in them!):
+#   https://github.com/python-hyper/h11/issues/57
+# We still don't allow NUL or whitespace, because those are often treated as
+# meta-characters and letting them through can lead to nasty issues like SSRF.
+vchar = r"[\x21-\x7e]"
+vchar_or_obs_text = r"[^\x00\s]"
+field_vchar = vchar_or_obs_text
+field_content = r"{field_vchar}+(?:[ \t]+{field_vchar}+)*".format(**globals())
+
+# We handle obs-fold at a different level, and our fixed-up field_content
+# already grows to swallow the whole value, so ? instead of *
+field_value = r"({field_content})?".format(**globals())
+
+#  header-field   = field-name ":" OWS field-value OWS
+header_field = (
+    r"(?P<field_name>{field_name})"
+    r":"
+    r"{OWS}"
+    r"(?P<field_value>{field_value})"
+    r"{OWS}".format(**globals())
+)
+
+# https://svn.tools.ietf.org/svn/wg/httpbis/specs/rfc7230.html#request.line
+#
+#   request-line   = method SP request-target SP HTTP-version CRLF
+#   method         = token
+#   HTTP-version   = HTTP-name "/" DIGIT "." DIGIT
+#   HTTP-name      = %x48.54.54.50 ; "HTTP", case-sensitive
+#
+# request-target is complicated (see RFC 7230 sec 5.3) -- could be path, full
+# URL, host+port (for connect), or even "*", but in any case we are guaranteed
+# that it contists of the visible printing characters.
+method = token
+request_target = r"{vchar}+".format(**globals())
+http_version = r"HTTP/(?P<http_version>[0-9]\.[0-9])"
+request_line = (
+    r"(?P<method>{method})"
+    r" "
+    r"(?P<target>{request_target})"
+    r" "
+    r"{http_version}".format(**globals())
+)
+
+# https://svn.tools.ietf.org/svn/wg/httpbis/specs/rfc7230.html#status.line
+#
+#   status-line = HTTP-version SP status-code SP reason-phrase CRLF
+#   status-code    = 3DIGIT
+#   reason-phrase  = *( HTAB / SP / VCHAR / obs-text )
+status_code = r"[0-9]{3}"
+reason_phrase = r"([ \t]|{vchar_or_obs_text})*".format(**globals())
+status_line = (
+    r"{http_version}"
+    r" "
+    r"(?P<status_code>{status_code})"
+    # However, there are apparently a few too many servers out there that just
+    # leave out the reason phrase:
+    #   https://github.com/scrapy/scrapy/issues/345#issuecomment-281756036
+    #   https://github.com/seanmonstar/httparse/issues/29
+    # so make it optional. ?: is a non-capturing group.
+    r"(?: (?P<reason>{reason_phrase}))?".format(**globals())
+)
+
+HEXDIG = r"[0-9A-Fa-f]"
+# Actually
+#
+#      chunk-size     = 1*HEXDIG
+#
+# but we impose an upper-limit to avoid ridiculosity. len(str(2**64)) == 20
+chunk_size = r"({HEXDIG}){{1,20}}".format(**globals())
+# Actually
+#
+#     chunk-ext      = *( ";" chunk-ext-name [ "=" chunk-ext-val ] )
+#
+# but we aren't parsing the things so we don't really care.
+chunk_ext = r";.*"
+chunk_header = (
+    r"(?P<chunk_size>{chunk_size})"
+    r"(?P<chunk_ext>{chunk_ext})?"
+    r"{OWS}\r\n".format(
+        **globals()
+    )  # Even though the specification does not allow for extra whitespaces,
+    # we are lenient with trailing whitespaces because some servers on the wild use it.
+)

venv/lib/python3.12/site-packages/h11/_connection.py

@@ -0,0 +1,659 @@
+# This contains the main Connection class. Everything in h11 revolves around
+# this.
+from typing import (
+    Any,
+    Callable,
+    cast,
+    Dict,
+    List,
+    Optional,
+    overload,
+    Tuple,
+    Type,
+    Union,
+)
+
+from ._events import (
+    ConnectionClosed,
+    Data,
+    EndOfMessage,
+    Event,
+    InformationalResponse,
+    Request,
+    Response,
+)
+from ._headers import get_comma_header, has_expect_100_continue, set_comma_header
+from ._readers import READERS, ReadersType
+from ._receivebuffer import ReceiveBuffer
+from ._state import (
+    _SWITCH_CONNECT,
+    _SWITCH_UPGRADE,
+    CLIENT,
+    ConnectionState,
+    DONE,
+    ERROR,
+    MIGHT_SWITCH_PROTOCOL,
+    SEND_BODY,
+    SERVER,
+    SWITCHED_PROTOCOL,
+)
+from ._util import (  # Import the internal things we need
+    LocalProtocolError,
+    RemoteProtocolError,
+    Sentinel,
+)
+from ._writers import WRITERS, WritersType
+
+# Everything in __all__ gets re-exported as part of the h11 public API.
+__all__ = ["Connection", "NEED_DATA", "PAUSED"]
+
+
+class NEED_DATA(Sentinel, metaclass=Sentinel):
+    pass
+
+
+class PAUSED(Sentinel, metaclass=Sentinel):
+    pass
+
+
+# If we ever have this much buffered without it making a complete parseable
+# event, we error out. The only time we really buffer is when reading the
+# request/response line + headers together, so this is effectively the limit on
+# the size of that.
+#
+# Some precedents for defaults:
+# - node.js: 80 * 1024
+# - tomcat: 8 * 1024
+# - IIS: 16 * 1024
+# - Apache: <8 KiB per line>
+DEFAULT_MAX_INCOMPLETE_EVENT_SIZE = 16 * 1024
+
+
+# RFC 7230's rules for connection lifecycles:
+# - If either side says they want to close the connection, then the connection
+#   must close.
+# - HTTP/1.1 defaults to keep-alive unless someone says Connection: close
+# - HTTP/1.0 defaults to close unless both sides say Connection: keep-alive
+#   (and even this is a mess -- e.g. if you're implementing a proxy then
+#   sending Connection: keep-alive is forbidden).
+#
+# We simplify life by simply not supporting keep-alive with HTTP/1.0 peers. So
+# our rule is:
+# - If someone says Connection: close, we will close
+# - If someone uses HTTP/1.0, we will close.
+def _keep_alive(event: Union[Request, Response]) -> bool:
+    connection = get_comma_header(event.headers, b"connection")
+    if b"close" in connection:
+        return False
+    if getattr(event, "http_version", b"1.1") < b"1.1":
+        return False
+    return True
+
+
+def _body_framing(
+    request_method: bytes, event: Union[Request, Response]
+) -> Tuple[str, Union[Tuple[()], Tuple[int]]]:
+    # Called when we enter SEND_BODY to figure out framing information for
+    # this body.
+    #
+    # These are the only two events that can trigger a SEND_BODY state:
+    assert type(event) in (Request, Response)
+    # Returns one of:
+    #
+    #    ("content-length", count)
+    #    ("chunked", ())
+    #    ("http/1.0", ())
+    #
+    # which are (lookup key, *args) for constructing body reader/writer
+    # objects.
+    #
+    # Reference: https://tools.ietf.org/html/rfc7230#section-3.3.3
+    #
+    # Step 1: some responses always have an empty body, regardless of what the
+    # headers say.
+    if type(event) is Response:
+        if (
+            event.status_code in (204, 304)
+            or request_method == b"HEAD"
+            or (request_method == b"CONNECT" and 200 <= event.status_code < 300)
+        ):
+            return ("content-length", (0,))
+        # Section 3.3.3 also lists another case -- responses with status_code
+        # < 200. For us these are InformationalResponses, not Responses, so
+        # they can't get into this function in the first place.
+        assert event.status_code >= 200
+
+    # Step 2: check for Transfer-Encoding (T-E beats C-L):
+    transfer_encodings = get_comma_header(event.headers, b"transfer-encoding")
+    if transfer_encodings:
+        assert transfer_encodings == [b"chunked"]
+        return ("chunked", ())
+
+    # Step 3: check for Content-Length
+    content_lengths = get_comma_header(event.headers, b"content-length")
+    if content_lengths:
+        return ("content-length", (int(content_lengths[0]),))
+
+    # Step 4: no applicable headers; fallback/default depends on type
+    if type(event) is Request:
+        return ("content-length", (0,))
+    else:
+        return ("http/1.0", ())
+
+
+################################################################
+#
+# The main Connection class
+#
+################################################################
+
+
+class Connection:
+    """An object encapsulating the state of an HTTP connection.
+
+    Args:
+        our_role: If you're implementing a client, pass :data:`h11.CLIENT`. If
+            you're implementing a server, pass :data:`h11.SERVER`.
+
+        max_incomplete_event_size (int):
+            The maximum number of bytes we're willing to buffer of an
+            incomplete event. In practice this mostly sets a limit on the
+            maximum size of the request/response line + headers. If this is
+            exceeded, then :meth:`next_event` will raise
+            :exc:`RemoteProtocolError`.
+
+    """
+
+    def __init__(
+        self,
+        our_role: Type[Sentinel],
+        max_incomplete_event_size: int = DEFAULT_MAX_INCOMPLETE_EVENT_SIZE,
+    ) -> None:
+        self._max_incomplete_event_size = max_incomplete_event_size
+        # State and role tracking
+        if our_role not in (CLIENT, SERVER):
+            raise ValueError(f"expected CLIENT or SERVER, not {our_role!r}")
+        self.our_role = our_role
+        self.their_role: Type[Sentinel]
+        if our_role is CLIENT:
+            self.their_role = SERVER
+        else:
+            self.their_role = CLIENT
+        self._cstate = ConnectionState()
+
+        # Callables for converting data->events or vice-versa given the
+        # current state
+        self._writer = self._get_io_object(self.our_role, None, WRITERS)
+        self._reader = self._get_io_object(self.their_role, None, READERS)
+
+        # Holds any unprocessed received data
+        self._receive_buffer = ReceiveBuffer()
+        # If this is true, then it indicates that the incoming connection was
+        # closed *after* the end of whatever's in self._receive_buffer:
+        self._receive_buffer_closed = False
+
+        # Extra bits of state that don't fit into the state machine.
+        #
+        # These two are only used to interpret framing headers for figuring
+        # out how to read/write response bodies. their_http_version is also
+        # made available as a convenient public API.
+        self.their_http_version: Optional[bytes] = None
+        self._request_method: Optional[bytes] = None
+        # This is pure flow-control and doesn't at all affect the set of legal
+        # transitions, so no need to bother ConnectionState with it:
+        self.client_is_waiting_for_100_continue = False
+
+    @property
+    def states(self) -> Dict[Type[Sentinel], Type[Sentinel]]:
+        """A dictionary like::
+
+           {CLIENT: <client state>, SERVER: <server state>}
+
+        See :ref:`state-machine` for details.
+
+        """
+        return dict(self._cstate.states)
+
+    @property
+    def our_state(self) -> Type[Sentinel]:
+        """The current state of whichever role we are playing. See
+        :ref:`state-machine` for details.
+        """
+        return self._cstate.states[self.our_role]
+
+    @property
+    def their_state(self) -> Type[Sentinel]:
+        """The current state of whichever role we are NOT playing. See
+        :ref:`state-machine` for details.
+        """
+        return self._cstate.states[self.their_role]
+
+    @property
+    def they_are_waiting_for_100_continue(self) -> bool:
+        return self.their_role is CLIENT and self.client_is_waiting_for_100_continue
+
+    def start_next_cycle(self) -> None:
+        """Attempt to reset our connection state for a new request/response
+        cycle.
+
+        If both client and server are in :data:`DONE` state, then resets them
+        both to :data:`IDLE` state in preparation for a new request/response
+        cycle on this same connection. Otherwise, raises a
+        :exc:`LocalProtocolError`.
+
+        See :ref:`keepalive-and-pipelining`.
+
+        """
+        old_states = dict(self._cstate.states)
+        self._cstate.start_next_cycle()
+        self._request_method = None
+        # self.their_http_version gets left alone, since it presumably lasts
+        # beyond a single request/response cycle
+        assert not self.client_is_waiting_for_100_continue
+        self._respond_to_state_changes(old_states)
+
+    def _process_error(self, role: Type[Sentinel]) -> None:
+        old_states = dict(self._cstate.states)
+        self._cstate.process_error(role)
+        self._respond_to_state_changes(old_states)
+
+    def _server_switch_event(self, event: Event) -> Optional[Type[Sentinel]]:
+        if type(event) is InformationalResponse and event.status_code == 101:
+            return _SWITCH_UPGRADE
+        if type(event) is Response:
+            if (
+                _SWITCH_CONNECT in self._cstate.pending_switch_proposals
+                and 200 <= event.status_code < 300
+            ):
+                return _SWITCH_CONNECT
+        return None
+
+    # All events go through here
+    def _process_event(self, role: Type[Sentinel], event: Event) -> None:
+        # First, pass the event through the state machine to make sure it
+        # succeeds.
+        old_states = dict(self._cstate.states)
+        if role is CLIENT and type(event) is Request:
+            if event.method == b"CONNECT":
+                self._cstate.process_client_switch_proposal(_SWITCH_CONNECT)
+            if get_comma_header(event.headers, b"upgrade"):
+                self._cstate.process_client_switch_proposal(_SWITCH_UPGRADE)
+        server_switch_event = None
+        if role is SERVER:
+            server_switch_event = self._server_switch_event(event)
+        self._cstate.process_event(role, type(event), server_switch_event)
+
+        # Then perform the updates triggered by it.
+
+        if type(event) is Request:
+            self._request_method = event.method
+
+        if role is self.their_role and type(event) in (
+            Request,
+            Response,
+            InformationalResponse,
+        ):
+            event = cast(Union[Request, Response, InformationalResponse], event)
+            self.their_http_version = event.http_version
+
+        # Keep alive handling
+        #
+        # RFC 7230 doesn't really say what one should do if Connection: close
+        # shows up on a 1xx InformationalResponse. I think the idea is that
+        # this is not supposed to happen. In any case, if it does happen, we
+        # ignore it.
+        if type(event) in (Request, Response) and not _keep_alive(
+            cast(Union[Request, Response], event)
+        ):
+            self._cstate.process_keep_alive_disabled()
+
+        # 100-continue
+        if type(event) is Request and has_expect_100_continue(event):
+            self.client_is_waiting_for_100_continue = True
+        if type(event) in (InformationalResponse, Response):
+            self.client_is_waiting_for_100_continue = False
+        if role is CLIENT and type(event) in (Data, EndOfMessage):
+            self.client_is_waiting_for_100_continue = False
+
+        self._respond_to_state_changes(old_states, event)
+
+    def _get_io_object(
+        self,
+        role: Type[Sentinel],
+        event: Optional[Event],
+        io_dict: Union[ReadersType, WritersType],
+    ) -> Optional[Callable[..., Any]]:
+        # event may be None; it's only used when entering SEND_BODY
+        state = self._cstate.states[role]
+        if state is SEND_BODY:
+            # Special case: the io_dict has a dict of reader/writer factories
+            # that depend on the request/response framing.
+            framing_type, args = _body_framing(
+                cast(bytes, self._request_method), cast(Union[Request, Response], event)
+            )
+            return io_dict[SEND_BODY][framing_type](*args)  # type: ignore[index]
+        else:
+            # General case: the io_dict just has the appropriate reader/writer
+            # for this state
+            return io_dict.get((role, state))  # type: ignore[return-value]
+
+    # This must be called after any action that might have caused
+    # self._cstate.states to change.
+    def _respond_to_state_changes(
+        self,
+        old_states: Dict[Type[Sentinel], Type[Sentinel]],
+        event: Optional[Event] = None,
+    ) -> None:
+        # Update reader/writer
+        if self.our_state != old_states[self.our_role]:
+            self._writer = self._get_io_object(self.our_role, event, WRITERS)
+        if self.their_state != old_states[self.their_role]:
+            self._reader = self._get_io_object(self.their_role, event, READERS)
+
+    @property
+    def trailing_data(self) -> Tuple[bytes, bool]:
+        """Data that has been received, but not yet processed, represented as
+        a tuple with two elements, where the first is a byte-string containing
+        the unprocessed data itself, and the second is a bool that is True if
+        the receive connection was closed.
+
+        See :ref:`switching-protocols` for discussion of why you'd want this.
+        """
+        return (bytes(self._receive_buffer), self._receive_buffer_closed)
+
+    def receive_data(self, data: bytes) -> None:
+        """Add data to our internal receive buffer.
+
+        This does not actually do any processing on the data, just stores
+        it. To trigger processing, you have to call :meth:`next_event`.
+
+        Args:
+            data (:term:`bytes-like object`):
+                The new data that was just received.
+
+                Special case: If *data* is an empty byte-string like ``b""``,
+                then this indicates that the remote side has closed the
+                connection (end of file). Normally this is convenient, because
+                standard Python APIs like :meth:`file.read` or
+                :meth:`socket.recv` use ``b""`` to indicate end-of-file, while
+                other failures to read are indicated using other mechanisms
+                like raising :exc:`TimeoutError`. When using such an API you
+                can just blindly pass through whatever you get from ``read``
+                to :meth:`receive_data`, and everything will work.
+
+                But, if you have an API where reading an empty string is a
+                valid non-EOF condition, then you need to be aware of this and
+                make sure to check for such strings and avoid passing them to
+                :meth:`receive_data`.
+
+        Returns:
+            Nothing, but after calling this you should call :meth:`next_event`
+            to parse the newly received data.
+
+        Raises:
+            RuntimeError:
+                Raised if you pass an empty *data*, indicating EOF, and then
+                pass a non-empty *data*, indicating more data that somehow
+                arrived after the EOF.
+
+                (Calling ``receive_data(b"")`` multiple times is fine,
+                and equivalent to calling it once.)
+
+        """
+        if data:
+            if self._receive_buffer_closed:
+                raise RuntimeError("received close, then received more data?")
+            self._receive_buffer += data
+        else:
+            self._receive_buffer_closed = True
+
+    def _extract_next_receive_event(
+        self,
+    ) -> Union[Event, Type[NEED_DATA], Type[PAUSED]]:
+        state = self.their_state
+        # We don't pause immediately when they enter DONE, because even in
+        # DONE state we can still process a ConnectionClosed() event. But
+        # if we have data in our buffer, then we definitely aren't getting
+        # a ConnectionClosed() immediately and we need to pause.
+        if state is DONE and self._receive_buffer:
+            return PAUSED
+        if state is MIGHT_SWITCH_PROTOCOL or state is SWITCHED_PROTOCOL:
+            return PAUSED
+        assert self._reader is not None
+        event = self._reader(self._receive_buffer)
+        if event is None:
+            if not self._receive_buffer and self._receive_buffer_closed:
+                # In some unusual cases (basically just HTTP/1.0 bodies), EOF
+                # triggers an actual protocol event; in that case, we want to
+                # return that event, and then the state will change and we'll
+                # get called again to generate the actual ConnectionClosed().
+                if hasattr(self._reader, "read_eof"):
+                    event = self._reader.read_eof()
+                else:
+                    event = ConnectionClosed()
+        if event is None:
+            event = NEED_DATA
+        return event  # type: ignore[no-any-return]
+
+    def next_event(self) -> Union[Event, Type[NEED_DATA], Type[PAUSED]]:
+        """Parse the next event out of our receive buffer, update our internal
+        state, and return it.
+
+        This is a mutating operation -- think of it like calling :func:`next`
+        on an iterator.
+
+        Returns:
+            : One of three things:
+
+            1) An event object -- see :ref:`events`.
+
+            2) The special constant :data:`NEED_DATA`, which indicates that
+               you need to read more data from your socket and pass it to
+               :meth:`receive_data` before this method will be able to return
+               any more events.
+
+            3) The special constant :data:`PAUSED`, which indicates that we
+               are not in a state where we can process incoming data (usually
+               because the peer has finished their part of the current
+               request/response cycle, and you have not yet called
+               :meth:`start_next_cycle`). See :ref:`flow-control` for details.
+
+        Raises:
+            RemoteProtocolError:
+                The peer has misbehaved. You should close the connection
+                (possibly after sending some kind of 4xx response).
+
+        Once this method returns :class:`ConnectionClosed` once, then all
+        subsequent calls will also return :class:`ConnectionClosed`.
+
+        If this method raises any exception besides :exc:`RemoteProtocolError`
+        then that's a bug -- if it happens please file a bug report!
+
+        If this method raises any exception then it also sets
+        :attr:`Connection.their_state` to :data:`ERROR` -- see
+        :ref:`error-handling` for discussion.
+
+        """
+
+        if self.their_state is ERROR:
+            raise RemoteProtocolError("Can't receive data when peer state is ERROR")
+        try:
+            event = self._extract_next_receive_event()
+            if event not in [NEED_DATA, PAUSED]:
+                self._process_event(self.their_role, cast(Event, event))
+            if event is NEED_DATA:
+                if len(self._receive_buffer) > self._max_incomplete_event_size:
+                    # 431 is "Request header fields too large" which is pretty
+                    # much the only situation where we can get here
+                    raise RemoteProtocolError(
+                        "Receive buffer too long", error_status_hint=431
+                    )
+                if self._receive_buffer_closed:
+                    # We're still trying to complete some event, but that's
+                    # never going to happen because no more data is coming
+                    raise RemoteProtocolError("peer unexpectedly closed connection")
+            return event
+        except BaseException as exc:
+            self._process_error(self.their_role)
+            if isinstance(exc, LocalProtocolError):
+                exc._reraise_as_remote_protocol_error()
+            else:
+                raise
+
+    @overload
+    def send(self, event: ConnectionClosed) -> None:
+        ...
+
+    @overload
+    def send(
+        self, event: Union[Request, InformationalResponse, Response, Data, EndOfMessage]
+    ) -> bytes:
+        ...
+
+    @overload
+    def send(self, event: Event) -> Optional[bytes]:
+        ...
+
+    def send(self, event: Event) -> Optional[bytes]:
+        """Convert a high-level event into bytes that can be sent to the peer,
+        while updating our internal state machine.
+
+        Args:
+            event: The :ref:`event <events>` to send.
+
+        Returns:
+            If ``type(event) is ConnectionClosed``, then returns
+            ``None``. Otherwise, returns a :term:`bytes-like object`.
+
+        Raises:
+            LocalProtocolError:
+                Sending this event at this time would violate our
+                understanding of the HTTP/1.1 protocol.
+
+        If this method raises any exception then it also sets
+        :attr:`Connection.our_state` to :data:`ERROR` -- see
+        :ref:`error-handling` for discussion.
+
+        """
+        data_list = self.send_with_data_passthrough(event)
+        if data_list is None:
+            return None
+        else:
+            return b"".join(data_list)
+
+    def send_with_data_passthrough(self, event: Event) -> Optional[List[bytes]]:
+        """Identical to :meth:`send`, except that in situations where
+        :meth:`send` returns a single :term:`bytes-like object`, this instead
+        returns a list of them -- and when sending a :class:`Data` event, this
+        list is guaranteed to contain the exact object you passed in as
+        :attr:`Data.data`. See :ref:`sendfile` for discussion.
+
+        """
+        if self.our_state is ERROR:
+            raise LocalProtocolError("Can't send data when our state is ERROR")
+        try:
+            if type(event) is Response:
+                event = self._clean_up_response_headers_for_sending(event)
+            # We want to call _process_event before calling the writer,
+            # because if someone tries to do something invalid then this will
+            # give a sensible error message, while our writers all just assume
+            # they will only receive valid events. But, _process_event might
+            # change self._writer. So we have to do a little dance:
+            writer = self._writer
+            self._process_event(self.our_role, event)
+            if type(event) is ConnectionClosed:
+                return None
+            else:
+                # In any situation where writer is None, process_event should
+                # have raised ProtocolError
+                assert writer is not None
+                data_list: List[bytes] = []
+                writer(event, data_list.append)
+                return data_list
+        except:
+            self._process_error(self.our_role)
+            raise
+
+    def send_failed(self) -> None:
+        """Notify the state machine that we failed to send the data it gave
+        us.
+
+        This causes :attr:`Connection.our_state` to immediately become
+        :data:`ERROR` -- see :ref:`error-handling` for discussion.
+
+        """
+        self._process_error(self.our_role)
+
+    # When sending a Response, we take responsibility for a few things:
+    #
+    # - Sometimes you MUST set Connection: close. We take care of those
+    #   times. (You can also set it yourself if you want, and if you do then
+    #   we'll respect that and close the connection at the right time. But you
+    #   don't have to worry about that unless you want to.)
+    #
+    # - The user has to set Content-Length if they want it. Otherwise, for
+    #   responses that have bodies (e.g. not HEAD), then we will automatically
+    #   select the right mechanism for streaming a body of unknown length,
+    #   which depends on depending on the peer's HTTP version.
+    #
+    # This function's *only* responsibility is making sure headers are set up
+    # right -- everything downstream just looks at the headers. There are no
+    # side channels.
+    def _clean_up_response_headers_for_sending(self, response: Response) -> Response:
+        assert type(response) is Response
+
+        headers = response.headers
+        need_close = False
+
+        # HEAD requests need some special handling: they always act like they
+        # have Content-Length: 0, and that's how _body_framing treats
+        # them. But their headers are supposed to match what we would send if
+        # the request was a GET. (Technically there is one deviation allowed:
+        # we're allowed to leave out the framing headers -- see
+        # https://tools.ietf.org/html/rfc7231#section-4.3.2 . But it's just as
+        # easy to get them right.)
+        method_for_choosing_headers = cast(bytes, self._request_method)
+        if method_for_choosing_headers == b"HEAD":
+            method_for_choosing_headers = b"GET"
+        framing_type, _ = _body_framing(method_for_choosing_headers, response)
+        if framing_type in ("chunked", "http/1.0"):
+            # This response has a body of unknown length.
+            # If our peer is HTTP/1.1, we use Transfer-Encoding: chunked
+            # If our peer is HTTP/1.0, we use no framing headers, and close the
+            # connection afterwards.
+            #
+            # Make sure to clear Content-Length (in principle user could have
+            # set both and then we ignored Content-Length b/c
+            # Transfer-Encoding overwrote it -- this would be naughty of them,
+            # but the HTTP spec says that if our peer does this then we have
+            # to fix it instead of erroring out, so we'll accord the user the
+            # same respect).
+            headers = set_comma_header(headers, b"content-length", [])
+            if self.their_http_version is None or self.their_http_version < b"1.1":
+                # Either we never got a valid request and are sending back an
+                # error (their_http_version is None), so we assume the worst;
+                # or else we did get a valid HTTP/1.0 request, so we know that
+                # they don't understand chunked encoding.
+                headers = set_comma_header(headers, b"transfer-encoding", [])
+                # This is actually redundant ATM, since currently we
+                # unconditionally disable keep-alive when talking to HTTP/1.0
+                # peers. But let's be defensive just in case we add
+                # Connection: keep-alive support later:
+                if self._request_method != b"HEAD":
+                    need_close = True
+            else:
+                headers = set_comma_header(headers, b"transfer-encoding", [b"chunked"])
+
+        if not self._cstate.keep_alive or need_close:
+            # Make sure Connection: close is set
+            connection = set(get_comma_header(headers, b"connection"))
+            connection.discard(b"keep-alive")
+            connection.add(b"close")
+            headers = set_comma_header(headers, b"connection", sorted(connection))
+
+        return Response(
+            headers=headers,
+            status_code=response.status_code,
+            http_version=response.http_version,
+            reason=response.reason,
+        )

venv/lib/python3.12/site-packages/h11/_events.py

@@ -0,0 +1,369 @@
+# High level events that make up HTTP/1.1 conversations. Loosely inspired by
+# the corresponding events in hyper-h2:
+#
+#     http://python-hyper.org/h2/en/stable/api.html#events
+#
+# Don't subclass these. Stuff will break.
+
+import re
+from abc import ABC
+from dataclasses import dataclass
+from typing import List, Tuple, Union
+
+from ._abnf import method, request_target
+from ._headers import Headers, normalize_and_validate
+from ._util import bytesify, LocalProtocolError, validate
+
+# Everything in __all__ gets re-exported as part of the h11 public API.
+__all__ = [
+    "Event",
+    "Request",
+    "InformationalResponse",
+    "Response",
+    "Data",
+    "EndOfMessage",
+    "ConnectionClosed",
+]
+
+method_re = re.compile(method.encode("ascii"))
+request_target_re = re.compile(request_target.encode("ascii"))
+
+
+class Event(ABC):
+    """
+    Base class for h11 events.
+    """
+
+    __slots__ = ()
+
+
+@dataclass(init=False, frozen=True)
+class Request(Event):
+    """The beginning of an HTTP request.
+
+    Fields:
+
+    .. attribute:: method
+
+       An HTTP method, e.g. ``b"GET"`` or ``b"POST"``. Always a byte
+       string. :term:`Bytes-like objects <bytes-like object>` and native
+       strings containing only ascii characters will be automatically
+       converted to byte strings.
+
+    .. attribute:: target
+
+       The target of an HTTP request, e.g. ``b"/index.html"``, or one of the
+       more exotic formats described in `RFC 7320, section 5.3
+       <https://tools.ietf.org/html/rfc7230#section-5.3>`_. Always a byte
+       string. :term:`Bytes-like objects <bytes-like object>` and native
+       strings containing only ascii characters will be automatically
+       converted to byte strings.
+
+    .. attribute:: headers
+
+       Request headers, represented as a list of (name, value) pairs. See
+       :ref:`the header normalization rules <headers-format>` for details.
+
+    .. attribute:: http_version
+
+       The HTTP protocol version, represented as a byte string like
+       ``b"1.1"``. See :ref:`the HTTP version normalization rules
+       <http_version-format>` for details.
+
+    """
+
+    __slots__ = ("method", "headers", "target", "http_version")
+
+    method: bytes
+    headers: Headers
+    target: bytes
+    http_version: bytes
+
+    def __init__(
+        self,
+        *,
+        method: Union[bytes, str],
+        headers: Union[Headers, List[Tuple[bytes, bytes]], List[Tuple[str, str]]],
+        target: Union[bytes, str],
+        http_version: Union[bytes, str] = b"1.1",
+        _parsed: bool = False,
+    ) -> None:
+        super().__init__()
+        if isinstance(headers, Headers):
+            object.__setattr__(self, "headers", headers)
+        else:
+            object.__setattr__(
+                self, "headers", normalize_and_validate(headers, _parsed=_parsed)
+            )
+        if not _parsed:
+            object.__setattr__(self, "method", bytesify(method))
+            object.__setattr__(self, "target", bytesify(target))
+            object.__setattr__(self, "http_version", bytesify(http_version))
+        else:
+            object.__setattr__(self, "method", method)
+            object.__setattr__(self, "target", target)
+            object.__setattr__(self, "http_version", http_version)
+
+        # "A server MUST respond with a 400 (Bad Request) status code to any
+        # HTTP/1.1 request message that lacks a Host header field and to any
+        # request message that contains more than one Host header field or a
+        # Host header field with an invalid field-value."
+        # -- https://tools.ietf.org/html/rfc7230#section-5.4
+        host_count = 0
+        for name, value in self.headers:
+            if name == b"host":
+                host_count += 1
+        if self.http_version == b"1.1" and host_count == 0:
+            raise LocalProtocolError("Missing mandatory Host: header")
+        if host_count > 1:
+            raise LocalProtocolError("Found multiple Host: headers")
+
+        validate(method_re, self.method, "Illegal method characters")
+        validate(request_target_re, self.target, "Illegal target characters")
+
+    # This is an unhashable type.
+    __hash__ = None  # type: ignore
+
+
+@dataclass(init=False, frozen=True)
+class _ResponseBase(Event):
+    __slots__ = ("headers", "http_version", "reason", "status_code")
+
+    headers: Headers
+    http_version: bytes
+    reason: bytes
+    status_code: int
+
+    def __init__(
+        self,
+        *,
+        headers: Union[Headers, List[Tuple[bytes, bytes]], List[Tuple[str, str]]],
+        status_code: int,
+        http_version: Union[bytes, str] = b"1.1",
+        reason: Union[bytes, str] = b"",
+        _parsed: bool = False,
+    ) -> None:
+        super().__init__()
+        if isinstance(headers, Headers):
+            object.__setattr__(self, "headers", headers)
+        else:
+            object.__setattr__(
+                self, "headers", normalize_and_validate(headers, _parsed=_parsed)
+            )
+        if not _parsed:
+            object.__setattr__(self, "reason", bytesify(reason))
+            object.__setattr__(self, "http_version", bytesify(http_version))
+            if not isinstance(status_code, int):
+                raise LocalProtocolError("status code must be integer")
+            # Because IntEnum objects are instances of int, but aren't
+            # duck-compatible (sigh), see gh-72.
+            object.__setattr__(self, "status_code", int(status_code))
+        else:
+            object.__setattr__(self, "reason", reason)
+            object.__setattr__(self, "http_version", http_version)
+            object.__setattr__(self, "status_code", status_code)
+
+        self.__post_init__()
+
+    def __post_init__(self) -> None:
+        pass
+
+    # This is an unhashable type.
+    __hash__ = None  # type: ignore
+
+
+@dataclass(init=False, frozen=True)
+class InformationalResponse(_ResponseBase):
+    """An HTTP informational response.
+
+    Fields:
+
+    .. attribute:: status_code
+
+       The status code of this response, as an integer. For an
+       :class:`InformationalResponse`, this is always in the range [100,
+       200).
+
+    .. attribute:: headers
+
+       Request headers, represented as a list of (name, value) pairs. See
+       :ref:`the header normalization rules <headers-format>` for
+       details.
+
+    .. attribute:: http_version
+
+       The HTTP protocol version, represented as a byte string like
+       ``b"1.1"``. See :ref:`the HTTP version normalization rules
+       <http_version-format>` for details.
+
+    .. attribute:: reason
+
+       The reason phrase of this response, as a byte string. For example:
+       ``b"OK"``, or ``b"Not Found"``.
+
+    """
+
+    def __post_init__(self) -> None:
+        if not (100 <= self.status_code < 200):
+            raise LocalProtocolError(
+                "InformationalResponse status_code should be in range "
+                "[100, 200), not {}".format(self.status_code)
+            )
+
+    # This is an unhashable type.
+    __hash__ = None  # type: ignore
+
+
+@dataclass(init=False, frozen=True)
+class Response(_ResponseBase):
+    """The beginning of an HTTP response.
+
+    Fields:
+
+    .. attribute:: status_code
+
+       The status code of this response, as an integer. For an
+       :class:`Response`, this is always in the range [200,
+       1000).
+
+    .. attribute:: headers
+
+       Request headers, represented as a list of (name, value) pairs. See
+       :ref:`the header normalization rules <headers-format>` for details.
+
+    .. attribute:: http_version
+
+       The HTTP protocol version, represented as a byte string like
+       ``b"1.1"``. See :ref:`the HTTP version normalization rules
+       <http_version-format>` for details.
+
+    .. attribute:: reason
+
+       The reason phrase of this response, as a byte string. For example:
+       ``b"OK"``, or ``b"Not Found"``.
+
+    """
+
+    def __post_init__(self) -> None:
+        if not (200 <= self.status_code < 1000):
+            raise LocalProtocolError(
+                "Response status_code should be in range [200, 1000), not {}".format(
+                    self.status_code
+                )
+            )
+
+    # This is an unhashable type.
+    __hash__ = None  # type: ignore
+
+
+@dataclass(init=False, frozen=True)
+class Data(Event):
+    """Part of an HTTP message body.
+
+    Fields:
+
+    .. attribute:: data
+
+       A :term:`bytes-like object` containing part of a message body. Or, if
+       using the ``combine=False`` argument to :meth:`Connection.send`, then
+       any object that your socket writing code knows what to do with, and for
+       which calling :func:`len` returns the number of bytes that will be
+       written -- see :ref:`sendfile` for details.
+
+    .. attribute:: chunk_start
+
+       A marker that indicates whether this data object is from the start of a
+       chunked transfer encoding chunk. This field is ignored when when a Data
+       event is provided to :meth:`Connection.send`: it is only valid on
+       events emitted from :meth:`Connection.next_event`. You probably
+       shouldn't use this attribute at all; see
+       :ref:`chunk-delimiters-are-bad` for details.
+
+    .. attribute:: chunk_end
+
+       A marker that indicates whether this data object is the last for a
+       given chunked transfer encoding chunk. This field is ignored when when
+       a Data event is provided to :meth:`Connection.send`: it is only valid
+       on events emitted from :meth:`Connection.next_event`. You probably
+       shouldn't use this attribute at all; see
+       :ref:`chunk-delimiters-are-bad` for details.
+
+    """
+
+    __slots__ = ("data", "chunk_start", "chunk_end")
+
+    data: bytes
+    chunk_start: bool
+    chunk_end: bool
+
+    def __init__(
+        self, data: bytes, chunk_start: bool = False, chunk_end: bool = False
+    ) -> None:
+        object.__setattr__(self, "data", data)
+        object.__setattr__(self, "chunk_start", chunk_start)
+        object.__setattr__(self, "chunk_end", chunk_end)
+
+    # This is an unhashable type.
+    __hash__ = None  # type: ignore
+
+
+# XX FIXME: "A recipient MUST ignore (or consider as an error) any fields that
+# are forbidden to be sent in a trailer, since processing them as if they were
+# present in the header section might bypass external security filters."
+# https://svn.tools.ietf.org/svn/wg/httpbis/specs/rfc7230.html#chunked.trailer.part
+# Unfortunately, the list of forbidden fields is long and vague :-/
+@dataclass(init=False, frozen=True)
+class EndOfMessage(Event):
+    """The end of an HTTP message.
+
+    Fields:
+
+    .. attribute:: headers
+
+       Default value: ``[]``
+
+       Any trailing headers attached to this message, represented as a list of
+       (name, value) pairs. See :ref:`the header normalization rules
+       <headers-format>` for details.
+
+       Must be empty unless ``Transfer-Encoding: chunked`` is in use.
+
+    """
+
+    __slots__ = ("headers",)
+
+    headers: Headers
+
+    def __init__(
+        self,
+        *,
+        headers: Union[
+            Headers, List[Tuple[bytes, bytes]], List[Tuple[str, str]], None
+        ] = None,
+        _parsed: bool = False,
+    ) -> None:
+        super().__init__()
+        if headers is None:
+            headers = Headers([])
+        elif not isinstance(headers, Headers):
+            headers = normalize_and_validate(headers, _parsed=_parsed)
+
+        object.__setattr__(self, "headers", headers)
+
+    # This is an unhashable type.
+    __hash__ = None  # type: ignore
+
+
+@dataclass(frozen=True)
+class ConnectionClosed(Event):
+    """This event indicates that the sender has closed their outgoing
+    connection.
+
+    Note that this does not necessarily mean that they can't *receive* further
+    data, because TCP connections are composed to two one-way channels which
+    can be closed independently. See :ref:`closing` for details.
+
+    No fields.
+    """
+
+    pass

venv/lib/python3.12/site-packages/h11/_headers.py

@@ -0,0 +1,282 @@
+import re
+from typing import AnyStr, cast, List, overload, Sequence, Tuple, TYPE_CHECKING, Union
+
+from ._abnf import field_name, field_value
+from ._util import bytesify, LocalProtocolError, validate
+
+if TYPE_CHECKING:
+    from ._events import Request
+
+try:
+    from typing import Literal
+except ImportError:
+    from typing_extensions import Literal  # type: ignore
+
+CONTENT_LENGTH_MAX_DIGITS = 20  # allow up to 1 billion TB - 1
+
+
+# Facts
+# -----
+#
+# Headers are:
+#   keys: case-insensitive ascii
+#   values: mixture of ascii and raw bytes
+#
+# "Historically, HTTP has allowed field content with text in the ISO-8859-1
+# charset [ISO-8859-1], supporting other charsets only through use of
+# [RFC2047] encoding.  In practice, most HTTP header field values use only a
+# subset of the US-ASCII charset [USASCII]. Newly defined header fields SHOULD
+# limit their field values to US-ASCII octets.  A recipient SHOULD treat other
+# octets in field content (obs-text) as opaque data."
+# And it deprecates all non-ascii values
+#
+# Leading/trailing whitespace in header names is forbidden
+#
+# Values get leading/trailing whitespace stripped
+#
+# Content-Disposition actually needs to contain unicode semantically; to
+# accomplish this it has a terrifically weird way of encoding the filename
+# itself as ascii (and even this still has lots of cross-browser
+# incompatibilities)
+#
+# Order is important:
+# "a proxy MUST NOT change the order of these field values when forwarding a
+# message"
+# (and there are several headers where the order indicates a preference)
+#
+# Multiple occurences of the same header:
+# "A sender MUST NOT generate multiple header fields with the same field name
+# in a message unless either the entire field value for that header field is
+# defined as a comma-separated list [or the header is Set-Cookie which gets a
+# special exception]" - RFC 7230. (cookies are in RFC 6265)
+#
+# So every header aside from Set-Cookie can be merged by b", ".join if it
+# occurs repeatedly. But, of course, they can't necessarily be split by
+# .split(b","), because quoting.
+#
+# Given all this mess (case insensitive, duplicates allowed, order is
+# important, ...), there doesn't appear to be any standard way to handle
+# headers in Python -- they're almost like dicts, but... actually just
+# aren't. For now we punt and just use a super simple representation: headers
+# are a list of pairs
+#
+#   [(name1, value1), (name2, value2), ...]
+#
+# where all entries are bytestrings, names are lowercase and have no
+# leading/trailing whitespace, and values are bytestrings with no
+# leading/trailing whitespace. Searching and updating are done via naive O(n)
+# methods.
+#
+# Maybe a dict-of-lists would be better?
+
+_content_length_re = re.compile(rb"[0-9]+")
+_field_name_re = re.compile(field_name.encode("ascii"))
+_field_value_re = re.compile(field_value.encode("ascii"))
+
+
+class Headers(Sequence[Tuple[bytes, bytes]]):
+    """
+    A list-like interface that allows iterating over headers as byte-pairs
+    of (lowercased-name, value).
+
+    Internally we actually store the representation as three-tuples,
+    including both the raw original casing, in order to preserve casing
+    over-the-wire, and the lowercased name, for case-insensitive comparisions.
+
+    r = Request(
+        method="GET",
+        target="/",
+        headers=[("Host", "example.org"), ("Connection", "keep-alive")],
+        http_version="1.1",
+    )
+    assert r.headers == [
+        (b"host", b"example.org"),
+        (b"connection", b"keep-alive")
+    ]
+    assert r.headers.raw_items() == [
+        (b"Host", b"example.org"),
+        (b"Connection", b"keep-alive")
+    ]
+    """
+
+    __slots__ = "_full_items"
+
+    def __init__(self, full_items: List[Tuple[bytes, bytes, bytes]]) -> None:
+        self._full_items = full_items
+
+    def __bool__(self) -> bool:
+        return bool(self._full_items)
+
+    def __eq__(self, other: object) -> bool:
+        return list(self) == list(other)  # type: ignore
+
+    def __len__(self) -> int:
+        return len(self._full_items)
+
+    def __repr__(self) -> str:
+        return "<Headers(%s)>" % repr(list(self))
+
+    def __getitem__(self, idx: int) -> Tuple[bytes, bytes]:  # type: ignore[override]
+        _, name, value = self._full_items[idx]
+        return (name, value)
+
+    def raw_items(self) -> List[Tuple[bytes, bytes]]:
+        return [(raw_name, value) for raw_name, _, value in self._full_items]
+
+
+HeaderTypes = Union[
+    List[Tuple[bytes, bytes]],
+    List[Tuple[bytes, str]],
+    List[Tuple[str, bytes]],
+    List[Tuple[str, str]],
+]
+
+
+@overload
+def normalize_and_validate(headers: Headers, _parsed: Literal[True]) -> Headers:
+    ...
+
+
+@overload
+def normalize_and_validate(headers: HeaderTypes, _parsed: Literal[False]) -> Headers:
+    ...
+
+
+@overload
+def normalize_and_validate(
+    headers: Union[Headers, HeaderTypes], _parsed: bool = False
+) -> Headers:
+    ...
+
+
+def normalize_and_validate(
+    headers: Union[Headers, HeaderTypes], _parsed: bool = False
+) -> Headers:
+    new_headers = []
+    seen_content_length = None
+    saw_transfer_encoding = False
+    for name, value in headers:
+        # For headers coming out of the parser, we can safely skip some steps,
+        # because it always returns bytes and has already run these regexes
+        # over the data:
+        if not _parsed:
+            name = bytesify(name)
+            value = bytesify(value)
+            validate(_field_name_re, name, "Illegal header name {!r}", name)
+            validate(_field_value_re, value, "Illegal header value {!r}", value)
+        assert isinstance(name, bytes)
+        assert isinstance(value, bytes)
+
+        raw_name = name
+        name = name.lower()
+        if name == b"content-length":
+            lengths = {length.strip() for length in value.split(b",")}
+            if len(lengths) != 1:
+                raise LocalProtocolError("conflicting Content-Length headers")
+            value = lengths.pop()
+            validate(_content_length_re, value, "bad Content-Length")
+            if len(value) > CONTENT_LENGTH_MAX_DIGITS:
+                raise LocalProtocolError("bad Content-Length")
+            if seen_content_length is None:
+                seen_content_length = value
+                new_headers.append((raw_name, name, value))
+            elif seen_content_length != value:
+                raise LocalProtocolError("conflicting Content-Length headers")
+        elif name == b"transfer-encoding":
+            # "A server that receives a request message with a transfer coding
+            # it does not understand SHOULD respond with 501 (Not
+            # Implemented)."
+            # https://tools.ietf.org/html/rfc7230#section-3.3.1
+            if saw_transfer_encoding:
+                raise LocalProtocolError(
+                    "multiple Transfer-Encoding headers", error_status_hint=501
+                )
+            # "All transfer-coding names are case-insensitive"
+            # -- https://tools.ietf.org/html/rfc7230#section-4
+            value = value.lower()
+            if value != b"chunked":
+                raise LocalProtocolError(
+                    "Only Transfer-Encoding: chunked is supported",
+                    error_status_hint=501,
+                )
+            saw_transfer_encoding = True
+            new_headers.append((raw_name, name, value))
+        else:
+            new_headers.append((raw_name, name, value))
+    return Headers(new_headers)
+
+
+def get_comma_header(headers: Headers, name: bytes) -> List[bytes]:
+    # Should only be used for headers whose value is a list of
+    # comma-separated, case-insensitive values.
+    #
+    # The header name `name` is expected to be lower-case bytes.
+    #
+    # Connection: meets these criteria (including cast insensitivity).
+    #
+    # Content-Length: technically is just a single value (1*DIGIT), but the
+    # standard makes reference to implementations that do multiple values, and
+    # using this doesn't hurt. Ditto, case insensitivity doesn't things either
+    # way.
+    #
+    # Transfer-Encoding: is more complex (allows for quoted strings), so
+    # splitting on , is actually wrong. For example, this is legal:
+    #
+    #    Transfer-Encoding: foo; options="1,2", chunked
+    #
+    # and should be parsed as
+    #
+    #    foo; options="1,2"
+    #    chunked
+    #
+    # but this naive function will parse it as
+    #
+    #    foo; options="1
+    #    2"
+    #    chunked
+    #
+    # However, this is okay because the only thing we are going to do with
+    # any Transfer-Encoding is reject ones that aren't just "chunked", so
+    # both of these will be treated the same anyway.
+    #
+    # Expect: the only legal value is the literal string
+    # "100-continue". Splitting on commas is harmless. Case insensitive.
+    #
+    out: List[bytes] = []
+    for _, found_name, found_raw_value in headers._full_items:
+        if found_name == name:
+            found_raw_value = found_raw_value.lower()
+            for found_split_value in found_raw_value.split(b","):
+                found_split_value = found_split_value.strip()
+                if found_split_value:
+                    out.append(found_split_value)
+    return out
+
+
+def set_comma_header(headers: Headers, name: bytes, new_values: List[bytes]) -> Headers:
+    # The header name `name` is expected to be lower-case bytes.
+    #
+    # Note that when we store the header we use title casing for the header
+    # names, in order to match the conventional HTTP header style.
+    #
+    # Simply calling `.title()` is a blunt approach, but it's correct
+    # here given the cases where we're using `set_comma_header`...
+    #
+    # Connection, Content-Length, Transfer-Encoding.
+    new_headers: List[Tuple[bytes, bytes]] = []
+    for found_raw_name, found_name, found_raw_value in headers._full_items:
+        if found_name != name:
+            new_headers.append((found_raw_name, found_raw_value))
+    for new_value in new_values:
+        new_headers.append((name.title(), new_value))
+    return normalize_and_validate(new_headers)
+
+
+def has_expect_100_continue(request: "Request") -> bool:
+    # https://tools.ietf.org/html/rfc7231#section-5.1.1
+    # "A server that receives a 100-continue expectation in an HTTP/1.0 request
+    # MUST ignore that expectation."
+    if request.http_version < b"1.1":
+        return False
+    expect = get_comma_header(request.headers, b"expect")
+    return b"100-continue" in expect

venv/lib/python3.12/site-packages/h11/_readers.py

@@ -0,0 +1,250 @@
+# Code to read HTTP data
+#
+# Strategy: each reader is a callable which takes a ReceiveBuffer object, and
+# either:
+# 1) consumes some of it and returns an Event
+# 2) raises a LocalProtocolError (for consistency -- e.g. we call validate()
+#    and it might raise a LocalProtocolError, so simpler just to always use
+#    this)
+# 3) returns None, meaning "I need more data"
+#
+# If they have a .read_eof attribute, then this will be called if an EOF is
+# received -- but this is optional. Either way, the actual ConnectionClosed
+# event will be generated afterwards.
+#
+# READERS is a dict describing how to pick a reader. It maps states to either:
+# - a reader
+# - or, for body readers, a dict of per-framing reader factories
+
+import re
+from typing import Any, Callable, Dict, Iterable, NoReturn, Optional, Tuple, Type, Union
+
+from ._abnf import chunk_header, header_field, request_line, status_line
+from ._events import Data, EndOfMessage, InformationalResponse, Request, Response
+from ._receivebuffer import ReceiveBuffer
+from ._state import (
+    CLIENT,
+    CLOSED,
+    DONE,
+    IDLE,
+    MUST_CLOSE,
+    SEND_BODY,
+    SEND_RESPONSE,
+    SERVER,
+)
+from ._util import LocalProtocolError, RemoteProtocolError, Sentinel, validate
+
+__all__ = ["READERS"]
+
+header_field_re = re.compile(header_field.encode("ascii"))
+obs_fold_re = re.compile(rb"[ \t]+")
+
+
+def _obsolete_line_fold(lines: Iterable[bytes]) -> Iterable[bytes]:
+    it = iter(lines)
+    last: Optional[bytes] = None
+    for line in it:
+        match = obs_fold_re.match(line)
+        if match:
+            if last is None:
+                raise LocalProtocolError("continuation line at start of headers")
+            if not isinstance(last, bytearray):
+                # Cast to a mutable type, avoiding copy on append to ensure O(n) time
+                last = bytearray(last)
+            last += b" "
+            last += line[match.end() :]
+        else:
+            if last is not None:
+                yield last
+            last = line
+    if last is not None:
+        yield last
+
+
+def _decode_header_lines(
+    lines: Iterable[bytes],
+) -> Iterable[Tuple[bytes, bytes]]:
+    for line in _obsolete_line_fold(lines):
+        matches = validate(header_field_re, line, "illegal header line: {!r}", line)
+        yield (matches["field_name"], matches["field_value"])
+
+
+request_line_re = re.compile(request_line.encode("ascii"))
+
+
+def maybe_read_from_IDLE_client(buf: ReceiveBuffer) -> Optional[Request]:
+    lines = buf.maybe_extract_lines()
+    if lines is None:
+        if buf.is_next_line_obviously_invalid_request_line():
+            raise LocalProtocolError("illegal request line")
+        return None
+    if not lines:
+        raise LocalProtocolError("no request line received")
+    matches = validate(
+        request_line_re, lines[0], "illegal request line: {!r}", lines[0]
+    )
+    return Request(
+        headers=list(_decode_header_lines(lines[1:])), _parsed=True, **matches
+    )
+
+
+status_line_re = re.compile(status_line.encode("ascii"))
+
+
+def maybe_read_from_SEND_RESPONSE_server(
+    buf: ReceiveBuffer,
+) -> Union[InformationalResponse, Response, None]:
+    lines = buf.maybe_extract_lines()
+    if lines is None:
+        if buf.is_next_line_obviously_invalid_request_line():
+            raise LocalProtocolError("illegal request line")
+        return None
+    if not lines:
+        raise LocalProtocolError("no response line received")
+    matches = validate(status_line_re, lines[0], "illegal status line: {!r}", lines[0])
+    http_version = (
+        b"1.1" if matches["http_version"] is None else matches["http_version"]
+    )
+    reason = b"" if matches["reason"] is None else matches["reason"]
+    status_code = int(matches["status_code"])
+    class_: Union[Type[InformationalResponse], Type[Response]] = (
+        InformationalResponse if status_code < 200 else Response
+    )
+    return class_(
+        headers=list(_decode_header_lines(lines[1:])),
+        _parsed=True,
+        status_code=status_code,
+        reason=reason,
+        http_version=http_version,
+    )
+
+
+class ContentLengthReader:
+    def __init__(self, length: int) -> None:
+        self._length = length
+        self._remaining = length
+
+    def __call__(self, buf: ReceiveBuffer) -> Union[Data, EndOfMessage, None]:
+        if self._remaining == 0:
+            return EndOfMessage()
+        data = buf.maybe_extract_at_most(self._remaining)
+        if data is None:
+            return None
+        self._remaining -= len(data)
+        return Data(data=data)
+
+    def read_eof(self) -> NoReturn:
+        raise RemoteProtocolError(
+            "peer closed connection without sending complete message body "
+            "(received {} bytes, expected {})".format(
+                self._length - self._remaining, self._length
+            )
+        )
+
+
+chunk_header_re = re.compile(chunk_header.encode("ascii"))
+
+
+class ChunkedReader:
+    def __init__(self) -> None:
+        self._bytes_in_chunk = 0
+        # After reading a chunk, we have to throw away the trailing \r\n.
+        # This tracks the bytes that we need to match and throw away.
+        self._bytes_to_discard = b""
+        self._reading_trailer = False
+
+    def __call__(self, buf: ReceiveBuffer) -> Union[Data, EndOfMessage, None]:
+        if self._reading_trailer:
+            lines = buf.maybe_extract_lines()
+            if lines is None:
+                return None
+            return EndOfMessage(headers=list(_decode_header_lines(lines)))
+        if self._bytes_to_discard:
+            data = buf.maybe_extract_at_most(len(self._bytes_to_discard))
+            if data is None:
+                return None
+            if data != self._bytes_to_discard[: len(data)]:
+                raise LocalProtocolError(
+                    f"malformed chunk footer: {data!r} (expected {self._bytes_to_discard!r})"
+                )
+            self._bytes_to_discard = self._bytes_to_discard[len(data) :]
+            if self._bytes_to_discard:
+                return None
+            # else, fall through and read some more
+        assert self._bytes_to_discard == b""
+        if self._bytes_in_chunk == 0:
+            # We need to refill our chunk count
+            chunk_header = buf.maybe_extract_next_line()
+            if chunk_header is None:
+                return None
+            matches = validate(
+                chunk_header_re,
+                chunk_header,
+                "illegal chunk header: {!r}",
+                chunk_header,
+            )
+            # XX FIXME: we discard chunk extensions. Does anyone care?
+            self._bytes_in_chunk = int(matches["chunk_size"], base=16)
+            if self._bytes_in_chunk == 0:
+                self._reading_trailer = True
+                return self(buf)
+            chunk_start = True
+        else:
+            chunk_start = False
+        assert self._bytes_in_chunk > 0
+        data = buf.maybe_extract_at_most(self._bytes_in_chunk)
+        if data is None:
+            return None
+        self._bytes_in_chunk -= len(data)
+        if self._bytes_in_chunk == 0:
+            self._bytes_to_discard = b"\r\n"
+            chunk_end = True
+        else:
+            chunk_end = False
+        return Data(data=data, chunk_start=chunk_start, chunk_end=chunk_end)
+
+    def read_eof(self) -> NoReturn:
+        raise RemoteProtocolError(
+            "peer closed connection without sending complete message body "
+            "(incomplete chunked read)"
+        )
+
+
+class Http10Reader:
+    def __call__(self, buf: ReceiveBuffer) -> Optional[Data]:
+        data = buf.maybe_extract_at_most(999999999)
+        if data is None:
+            return None
+        return Data(data=data)
+
+    def read_eof(self) -> EndOfMessage:
+        return EndOfMessage()
+
+
+def expect_nothing(buf: ReceiveBuffer) -> None:
+    if buf:
+        raise LocalProtocolError("Got data when expecting EOF")
+    return None
+
+
+ReadersType = Dict[
+    Union[Type[Sentinel], Tuple[Type[Sentinel], Type[Sentinel]]],
+    Union[Callable[..., Any], Dict[str, Callable[..., Any]]],
+]
+
+READERS: ReadersType = {
+    (CLIENT, IDLE): maybe_read_from_IDLE_client,
+    (SERVER, IDLE): maybe_read_from_SEND_RESPONSE_server,
+    (SERVER, SEND_RESPONSE): maybe_read_from_SEND_RESPONSE_server,
+    (CLIENT, DONE): expect_nothing,
+    (CLIENT, MUST_CLOSE): expect_nothing,
+    (CLIENT, CLOSED): expect_nothing,
+    (SERVER, DONE): expect_nothing,
+    (SERVER, MUST_CLOSE): expect_nothing,
+    (SERVER, CLOSED): expect_nothing,
+    SEND_BODY: {
+        "chunked": ChunkedReader,
+        "content-length": ContentLengthReader,
+        "http/1.0": Http10Reader,
+    },
+}

venv/lib/python3.12/site-packages/h11/_receivebuffer.py

@@ -0,0 +1,153 @@
+import re
+import sys
+from typing import List, Optional, Union
+
+__all__ = ["ReceiveBuffer"]
+
+
+# Operations we want to support:
+# - find next \r\n or \r\n\r\n (\n or \n\n are also acceptable),
+#   or wait until there is one
+# - read at-most-N bytes
+# Goals:
+# - on average, do this fast
+# - worst case, do this in O(n) where n is the number of bytes processed
+# Plan:
+# - store bytearray, offset, how far we've searched for a separator token
+# - use the how-far-we've-searched data to avoid rescanning
+# - while doing a stream of uninterrupted processing, advance offset instead
+#   of constantly copying
+# WARNING:
+# - I haven't benchmarked or profiled any of this yet.
+#
+# Note that starting in Python 3.4, deleting the initial n bytes from a
+# bytearray is amortized O(n), thanks to some excellent work by Antoine
+# Martin:
+#
+#     https://bugs.python.org/issue19087
+#
+# This means that if we only supported 3.4+, we could get rid of the code here
+# involving self._start and self.compress, because it's doing exactly the same
+# thing that bytearray now does internally.
+#
+# BUT unfortunately, we still support 2.7, and reading short segments out of a
+# long buffer MUST be O(bytes read) to avoid DoS issues, so we can't actually
+# delete this code. Yet:
+#
+#     https://pythonclock.org/
+#
+# (Two things to double-check first though: make sure PyPy also has the
+# optimization, and benchmark to make sure it's a win, since we do have a
+# slightly clever thing where we delay calling compress() until we've
+# processed a whole event, which could in theory be slightly more efficient
+# than the internal bytearray support.)
+blank_line_regex = re.compile(b"\n\r?\n", re.MULTILINE)
+
+
+class ReceiveBuffer:
+    def __init__(self) -> None:
+        self._data = bytearray()
+        self._next_line_search = 0
+        self._multiple_lines_search = 0
+
+    def __iadd__(self, byteslike: Union[bytes, bytearray]) -> "ReceiveBuffer":
+        self._data += byteslike
+        return self
+
+    def __bool__(self) -> bool:
+        return bool(len(self))
+
+    def __len__(self) -> int:
+        return len(self._data)
+
+    # for @property unprocessed_data
+    def __bytes__(self) -> bytes:
+        return bytes(self._data)
+
+    def _extract(self, count: int) -> bytearray:
+        # extracting an initial slice of the data buffer and return it
+        out = self._data[:count]
+        del self._data[:count]
+
+        self._next_line_search = 0
+        self._multiple_lines_search = 0
+
+        return out
+
+    def maybe_extract_at_most(self, count: int) -> Optional[bytearray]:
+        """
+        Extract a fixed number of bytes from the buffer.
+        """
+        out = self._data[:count]
+        if not out:
+            return None
+
+        return self._extract(count)
+
+    def maybe_extract_next_line(self) -> Optional[bytearray]:
+        """
+        Extract the first line, if it is completed in the buffer.
+        """
+        # Only search in buffer space that we've not already looked at.
+        search_start_index = max(0, self._next_line_search - 1)
+        partial_idx = self._data.find(b"\r\n", search_start_index)
+
+        if partial_idx == -1:
+            self._next_line_search = len(self._data)
+            return None
+
+        # + 2 is to compensate len(b"\r\n")
+        idx = partial_idx + 2
+
+        return self._extract(idx)
+
+    def maybe_extract_lines(self) -> Optional[List[bytearray]]:
+        """
+        Extract everything up to the first blank line, and return a list of lines.
+        """
+        # Handle the case where we have an immediate empty line.
+        if self._data[:1] == b"\n":
+            self._extract(1)
+            return []
+
+        if self._data[:2] == b"\r\n":
+            self._extract(2)
+            return []
+
+        # Only search in buffer space that we've not already looked at.
+        match = blank_line_regex.search(self._data, self._multiple_lines_search)
+        if match is None:
+            self._multiple_lines_search = max(0, len(self._data) - 2)
+            return None
+
+        # Truncate the buffer and return it.
+        idx = match.span(0)[-1]
+        out = self._extract(idx)
+        lines = out.split(b"\n")
+
+        for line in lines:
+            if line.endswith(b"\r"):
+                del line[-1]
+
+        assert lines[-2] == lines[-1] == b""
+
+        del lines[-2:]
+
+        return lines
+
+    # In theory we should wait until `\r\n` before starting to validate
+    # incoming data. However it's interesting to detect (very) invalid data
+    # early given they might not even contain `\r\n` at all (hence only
+    # timeout will get rid of them).
+    # This is not a 100% effective detection but more of a cheap sanity check
+    # allowing for early abort in some useful cases.
+    # This is especially interesting when peer is messing up with HTTPS and
+    # sent us a TLS stream where we were expecting plain HTTP given all
+    # versions of TLS so far start handshake with a 0x16 message type code.
+    def is_next_line_obviously_invalid_request_line(self) -> bool:
+        try:
+            # HTTP header line must not contain non-printable characters
+            # and should not start with a space
+            return self._data[0] < 0x21
+        except IndexError:
+            return False

venv/lib/python3.12/site-packages/h11/_state.py

@@ -0,0 +1,365 @@
+################################################################
+# The core state machine
+################################################################
+#
+# Rule 1: everything that affects the state machine and state transitions must
+# live here in this file. As much as possible goes into the table-based
+# representation, but for the bits that don't quite fit, the actual code and
+# state must nonetheless live here.
+#
+# Rule 2: this file does not know about what role we're playing; it only knows
+# about HTTP request/response cycles in the abstract. This ensures that we
+# don't cheat and apply different rules to local and remote parties.
+#
+#
+# Theory of operation
+# ===================
+#
+# Possibly the simplest way to think about this is that we actually have 5
+# different state machines here. Yes, 5. These are:
+#
+# 1) The client state, with its complicated automaton (see the docs)
+# 2) The server state, with its complicated automaton (see the docs)
+# 3) The keep-alive state, with possible states {True, False}
+# 4) The SWITCH_CONNECT state, with possible states {False, True}
+# 5) The SWITCH_UPGRADE state, with possible states {False, True}
+#
+# For (3)-(5), the first state listed is the initial state.
+#
+# (1)-(3) are stored explicitly in member variables. The last
+# two are stored implicitly in the pending_switch_proposals set as:
+#   (state of 4) == (_SWITCH_CONNECT in pending_switch_proposals)
+#   (state of 5) == (_SWITCH_UPGRADE in pending_switch_proposals)
+#
+# And each of these machines has two different kinds of transitions:
+#
+# a) Event-triggered
+# b) State-triggered
+#
+# Event triggered is the obvious thing that you'd think it is: some event
+# happens, and if it's the right event at the right time then a transition
+# happens. But there are somewhat complicated rules for which machines can
+# "see" which events. (As a rule of thumb, if a machine "sees" an event, this
+# means two things: the event can affect the machine, and if the machine is
+# not in a state where it expects that event then it's an error.) These rules
+# are:
+#
+# 1) The client machine sees all h11.events objects emitted by the client.
+#
+# 2) The server machine sees all h11.events objects emitted by the server.
+#
+#    It also sees the client's Request event.
+#
+#    And sometimes, server events are annotated with a _SWITCH_* event. For
+#    example, we can have a (Response, _SWITCH_CONNECT) event, which is
+#    different from a regular Response event.
+#
+# 3) The keep-alive machine sees the process_keep_alive_disabled() event
+#    (which is derived from Request/Response events), and this event
+#    transitions it from True -> False, or from False -> False. There's no way
+#    to transition back.
+#
+# 4&5) The _SWITCH_* machines transition from False->True when we get a
+#    Request that proposes the relevant type of switch (via
+#    process_client_switch_proposals), and they go from True->False when we
+#    get a Response that has no _SWITCH_* annotation.
+#
+# So that's event-triggered transitions.
+#
+# State-triggered transitions are less standard. What they do here is couple
+# the machines together. The way this works is, when certain *joint*
+# configurations of states are achieved, then we automatically transition to a
+# new *joint* state. So, for example, if we're ever in a joint state with
+#
+#   client: DONE
+#   keep-alive: False
+#
+# then the client state immediately transitions to:
+#
+#   client: MUST_CLOSE
+#
+# This is fundamentally different from an event-based transition, because it
+# doesn't matter how we arrived at the {client: DONE, keep-alive: False} state
+# -- maybe the client transitioned SEND_BODY -> DONE, or keep-alive
+# transitioned True -> False. Either way, once this precondition is satisfied,
+# this transition is immediately triggered.
+#
+# What if two conflicting state-based transitions get enabled at the same
+# time?  In practice there's only one case where this arises (client DONE ->
+# MIGHT_SWITCH_PROTOCOL versus DONE -> MUST_CLOSE), and we resolve it by
+# explicitly prioritizing the DONE -> MIGHT_SWITCH_PROTOCOL transition.
+#
+# Implementation
+# --------------
+#
+# The event-triggered transitions for the server and client machines are all
+# stored explicitly in a table. Ditto for the state-triggered transitions that
+# involve just the server and client state.
+#
+# The transitions for the other machines, and the state-triggered transitions
+# that involve the other machines, are written out as explicit Python code.
+#
+# It'd be nice if there were some cleaner way to do all this. This isn't
+# *too* terrible, but I feel like it could probably be better.
+#
+# WARNING
+# -------
+#
+# The script that generates the state machine diagrams for the docs knows how
+# to read out the EVENT_TRIGGERED_TRANSITIONS and STATE_TRIGGERED_TRANSITIONS
+# tables. But it can't automatically read the transitions that are written
+# directly in Python code. So if you touch those, you need to also update the
+# script to keep it in sync!
+from typing import cast, Dict, Optional, Set, Tuple, Type, Union
+
+from ._events import *
+from ._util import LocalProtocolError, Sentinel
+
+# Everything in __all__ gets re-exported as part of the h11 public API.
+__all__ = [
+    "CLIENT",
+    "SERVER",
+    "IDLE",
+    "SEND_RESPONSE",
+    "SEND_BODY",
+    "DONE",
+    "MUST_CLOSE",
+    "CLOSED",
+    "MIGHT_SWITCH_PROTOCOL",
+    "SWITCHED_PROTOCOL",
+    "ERROR",
+]
+
+
+class CLIENT(Sentinel, metaclass=Sentinel):
+    pass
+
+
+class SERVER(Sentinel, metaclass=Sentinel):
+    pass
+
+
+# States
+class IDLE(Sentinel, metaclass=Sentinel):
+    pass
+
+
+class SEND_RESPONSE(Sentinel, metaclass=Sentinel):
+    pass
+
+
+class SEND_BODY(Sentinel, metaclass=Sentinel):
+    pass
+
+
+class DONE(Sentinel, metaclass=Sentinel):
+    pass
+
+
+class MUST_CLOSE(Sentinel, metaclass=Sentinel):
+    pass
+
+
+class CLOSED(Sentinel, metaclass=Sentinel):
+    pass
+
+
+class ERROR(Sentinel, metaclass=Sentinel):
+    pass
+
+
+# Switch types
+class MIGHT_SWITCH_PROTOCOL(Sentinel, metaclass=Sentinel):
+    pass
+
+
+class SWITCHED_PROTOCOL(Sentinel, metaclass=Sentinel):
+    pass
+
+
+class _SWITCH_UPGRADE(Sentinel, metaclass=Sentinel):
+    pass
+
+
+class _SWITCH_CONNECT(Sentinel, metaclass=Sentinel):
+    pass
+
+
+EventTransitionType = Dict[
+    Type[Sentinel],
+    Dict[
+        Type[Sentinel],
+        Dict[Union[Type[Event], Tuple[Type[Event], Type[Sentinel]]], Type[Sentinel]],
+    ],
+]
+
+EVENT_TRIGGERED_TRANSITIONS: EventTransitionType = {
+    CLIENT: {
+        IDLE: {Request: SEND_BODY, ConnectionClosed: CLOSED},
+        SEND_BODY: {Data: SEND_BODY, EndOfMessage: DONE},
+        DONE: {ConnectionClosed: CLOSED},
+        MUST_CLOSE: {ConnectionClosed: CLOSED},
+        CLOSED: {ConnectionClosed: CLOSED},
+        MIGHT_SWITCH_PROTOCOL: {},
+        SWITCHED_PROTOCOL: {},
+        ERROR: {},
+    },
+    SERVER: {
+        IDLE: {
+            ConnectionClosed: CLOSED,
+            Response: SEND_BODY,
+            # Special case: server sees client Request events, in this form
+            (Request, CLIENT): SEND_RESPONSE,
+        },
+        SEND_RESPONSE: {
+            InformationalResponse: SEND_RESPONSE,
+            Response: SEND_BODY,
+            (InformationalResponse, _SWITCH_UPGRADE): SWITCHED_PROTOCOL,
+            (Response, _SWITCH_CONNECT): SWITCHED_PROTOCOL,
+        },
+        SEND_BODY: {Data: SEND_BODY, EndOfMessage: DONE},
+        DONE: {ConnectionClosed: CLOSED},
+        MUST_CLOSE: {ConnectionClosed: CLOSED},
+        CLOSED: {ConnectionClosed: CLOSED},
+        SWITCHED_PROTOCOL: {},
+        ERROR: {},
+    },
+}
+
+StateTransitionType = Dict[
+    Tuple[Type[Sentinel], Type[Sentinel]], Dict[Type[Sentinel], Type[Sentinel]]
+]
+
+# NB: there are also some special-case state-triggered transitions hard-coded
+# into _fire_state_triggered_transitions below.
+STATE_TRIGGERED_TRANSITIONS: StateTransitionType = {
+    # (Client state, Server state) -> new states
+    # Protocol negotiation
+    (MIGHT_SWITCH_PROTOCOL, SWITCHED_PROTOCOL): {CLIENT: SWITCHED_PROTOCOL},
+    # Socket shutdown
+    (CLOSED, DONE): {SERVER: MUST_CLOSE},
+    (CLOSED, IDLE): {SERVER: MUST_CLOSE},
+    (ERROR, DONE): {SERVER: MUST_CLOSE},
+    (DONE, CLOSED): {CLIENT: MUST_CLOSE},
+    (IDLE, CLOSED): {CLIENT: MUST_CLOSE},
+    (DONE, ERROR): {CLIENT: MUST_CLOSE},
+}
+
+
+class ConnectionState:
+    def __init__(self) -> None:
+        # Extra bits of state that don't quite fit into the state model.
+
+        # If this is False then it enables the automatic DONE -> MUST_CLOSE
+        # transition. Don't set this directly; call .keep_alive_disabled()
+        self.keep_alive = True
+
+        # This is a subset of {UPGRADE, CONNECT}, containing the proposals
+        # made by the client for switching protocols.
+        self.pending_switch_proposals: Set[Type[Sentinel]] = set()
+
+        self.states: Dict[Type[Sentinel], Type[Sentinel]] = {CLIENT: IDLE, SERVER: IDLE}
+
+    def process_error(self, role: Type[Sentinel]) -> None:
+        self.states[role] = ERROR
+        self._fire_state_triggered_transitions()
+
+    def process_keep_alive_disabled(self) -> None:
+        self.keep_alive = False
+        self._fire_state_triggered_transitions()
+
+    def process_client_switch_proposal(self, switch_event: Type[Sentinel]) -> None:
+        self.pending_switch_proposals.add(switch_event)
+        self._fire_state_triggered_transitions()
+
+    def process_event(
+        self,
+        role: Type[Sentinel],
+        event_type: Type[Event],
+        server_switch_event: Optional[Type[Sentinel]] = None,
+    ) -> None:
+        _event_type: Union[Type[Event], Tuple[Type[Event], Type[Sentinel]]] = event_type
+        if server_switch_event is not None:
+            assert role is SERVER
+            if server_switch_event not in self.pending_switch_proposals:
+                raise LocalProtocolError(
+                    "Received server _SWITCH_UPGRADE event without a pending proposal"
+                )
+            _event_type = (event_type, server_switch_event)
+        if server_switch_event is None and _event_type is Response:
+            self.pending_switch_proposals = set()
+        self._fire_event_triggered_transitions(role, _event_type)
+        # Special case: the server state does get to see Request
+        # events.
+        if _event_type is Request:
+            assert role is CLIENT
+            self._fire_event_triggered_transitions(SERVER, (Request, CLIENT))
+        self._fire_state_triggered_transitions()
+
+    def _fire_event_triggered_transitions(
+        self,
+        role: Type[Sentinel],
+        event_type: Union[Type[Event], Tuple[Type[Event], Type[Sentinel]]],
+    ) -> None:
+        state = self.states[role]
+        try:
+            new_state = EVENT_TRIGGERED_TRANSITIONS[role][state][event_type]
+        except KeyError:
+            event_type = cast(Type[Event], event_type)
+            raise LocalProtocolError(
+                "can't handle event type {} when role={} and state={}".format(
+                    event_type.__name__, role, self.states[role]
+                )
+            ) from None
+        self.states[role] = new_state
+
+    def _fire_state_triggered_transitions(self) -> None:
+        # We apply these rules repeatedly until converging on a fixed point
+        while True:
+            start_states = dict(self.states)
+
+            # It could happen that both these special-case transitions are
+            # enabled at the same time:
+            #
+            #    DONE -> MIGHT_SWITCH_PROTOCOL
+            #    DONE -> MUST_CLOSE
+            #
+            # For example, this will always be true of a HTTP/1.0 client
+            # requesting CONNECT.  If this happens, the protocol switch takes
+            # priority. From there the client will either go to
+            # SWITCHED_PROTOCOL, in which case it's none of our business when
+            # they close the connection, or else the server will deny the
+            # request, in which case the client will go back to DONE and then
+            # from there to MUST_CLOSE.
+            if self.pending_switch_proposals:
+                if self.states[CLIENT] is DONE:
+                    self.states[CLIENT] = MIGHT_SWITCH_PROTOCOL
+
+            if not self.pending_switch_proposals:
+                if self.states[CLIENT] is MIGHT_SWITCH_PROTOCOL:
+                    self.states[CLIENT] = DONE
+
+            if not self.keep_alive:
+                for role in (CLIENT, SERVER):
+                    if self.states[role] is DONE:
+                        self.states[role] = MUST_CLOSE
+
+            # Tabular state-triggered transitions
+            joint_state = (self.states[CLIENT], self.states[SERVER])
+            changes = STATE_TRIGGERED_TRANSITIONS.get(joint_state, {})
+            self.states.update(changes)
+
+            if self.states == start_states:
+                # Fixed point reached
+                return
+
+    def start_next_cycle(self) -> None:
+        if self.states != {CLIENT: DONE, SERVER: DONE}:
+            raise LocalProtocolError(
+                f"not in a reusable state. self.states={self.states}"
+            )
+        # Can't reach DONE/DONE with any of these active, but still, let's be
+        # sure.
+        assert self.keep_alive
+        assert not self.pending_switch_proposals
+        self.states = {CLIENT: IDLE, SERVER: IDLE}

venv/lib/python3.12/site-packages/h11/_util.py

@@ -0,0 +1,135 @@
+from typing import Any, Dict, NoReturn, Pattern, Tuple, Type, TypeVar, Union
+
+__all__ = [
+    "ProtocolError",
+    "LocalProtocolError",
+    "RemoteProtocolError",
+    "validate",
+    "bytesify",
+]
+
+
+class ProtocolError(Exception):
+    """Exception indicating a violation of the HTTP/1.1 protocol.
+
+    This as an abstract base class, with two concrete base classes:
+    :exc:`LocalProtocolError`, which indicates that you tried to do something
+    that HTTP/1.1 says is illegal, and :exc:`RemoteProtocolError`, which
+    indicates that the remote peer tried to do something that HTTP/1.1 says is
+    illegal. See :ref:`error-handling` for details.
+
+    In addition to the normal :exc:`Exception` features, it has one attribute:
+
+    .. attribute:: error_status_hint
+
+       This gives a suggestion as to what status code a server might use if
+       this error occurred as part of a request.
+
+       For a :exc:`RemoteProtocolError`, this is useful as a suggestion for
+       how you might want to respond to a misbehaving peer, if you're
+       implementing a server.
+
+       For a :exc:`LocalProtocolError`, this can be taken as a suggestion for
+       how your peer might have responded to *you* if h11 had allowed you to
+       continue.
+
+       The default is 400 Bad Request, a generic catch-all for protocol
+       violations.
+
+    """
+
+    def __init__(self, msg: str, error_status_hint: int = 400) -> None:
+        if type(self) is ProtocolError:
+            raise TypeError("tried to directly instantiate ProtocolError")
+        Exception.__init__(self, msg)
+        self.error_status_hint = error_status_hint
+
+
+# Strategy: there are a number of public APIs where a LocalProtocolError can
+# be raised (send(), all the different event constructors, ...), and only one
+# public API where RemoteProtocolError can be raised
+# (receive_data()). Therefore we always raise LocalProtocolError internally,
+# and then receive_data will translate this into a RemoteProtocolError.
+#
+# Internally:
+#   LocalProtocolError is the generic "ProtocolError".
+# Externally:
+#   LocalProtocolError is for local errors and RemoteProtocolError is for
+#   remote errors.
+class LocalProtocolError(ProtocolError):
+    def _reraise_as_remote_protocol_error(self) -> NoReturn:
+        # After catching a LocalProtocolError, use this method to re-raise it
+        # as a RemoteProtocolError. This method must be called from inside an
+        # except: block.
+        #
+        # An easy way to get an equivalent RemoteProtocolError is just to
+        # modify 'self' in place.
+        self.__class__ = RemoteProtocolError  # type: ignore
+        # But the re-raising is somewhat non-trivial -- you might think that
+        # now that we've modified the in-flight exception object, that just
+        # doing 'raise' to re-raise it would be enough. But it turns out that
+        # this doesn't work, because Python tracks the exception type
+        # (exc_info[0]) separately from the exception object (exc_info[1]),
+        # and we only modified the latter. So we really do need to re-raise
+        # the new type explicitly.
+        # On py3, the traceback is part of the exception object, so our
+        # in-place modification preserved it and we can just re-raise:
+        raise self
+
+
+class RemoteProtocolError(ProtocolError):
+    pass
+
+
+def validate(
+    regex: Pattern[bytes], data: bytes, msg: str = "malformed data", *format_args: Any
+) -> Dict[str, bytes]:
+    match = regex.fullmatch(data)
+    if not match:
+        if format_args:
+            msg = msg.format(*format_args)
+        raise LocalProtocolError(msg)
+    return match.groupdict()
+
+
+# Sentinel values
+#
+# - Inherit identity-based comparison and hashing from object
+# - Have a nice repr
+# - Have a *bonus property*: type(sentinel) is sentinel
+#
+# The bonus property is useful if you want to take the return value from
+# next_event() and do some sort of dispatch based on type(event).
+
+_T_Sentinel = TypeVar("_T_Sentinel", bound="Sentinel")
+
+
+class Sentinel(type):
+    def __new__(
+        cls: Type[_T_Sentinel],
+        name: str,
+        bases: Tuple[type, ...],
+        namespace: Dict[str, Any],
+        **kwds: Any
+    ) -> _T_Sentinel:
+        assert bases == (Sentinel,)
+        v = super().__new__(cls, name, bases, namespace, **kwds)
+        v.__class__ = v  # type: ignore
+        return v
+
+    def __repr__(self) -> str:
+        return self.__name__
+
+
+# Used for methods, request targets, HTTP versions, header names, and header
+# values. Accepts ascii-strings, or bytes/bytearray/memoryview/..., and always
+# returns bytes.
+def bytesify(s: Union[bytes, bytearray, memoryview, int, str]) -> bytes:
+    # Fast-path:
+    if type(s) is bytes:
+        return s
+    if isinstance(s, str):
+        s = s.encode("ascii")
+    if isinstance(s, int):
+        raise TypeError("expected bytes-like object, not int")
+    return bytes(s)

venv/lib/python3.12/site-packages/h11/_version.py

@@ -0,0 +1,16 @@
+# This file must be kept very simple, because it is consumed from several
+# places -- it is imported by h11/__init__.py, execfile'd by setup.py, etc.
+
+# We use a simple scheme:
+#   1.0.0 -> 1.0.0+dev -> 1.1.0 -> 1.1.0+dev
+# where the +dev versions are never released into the wild, they're just what
+# we stick into the VCS in between releases.
+#
+# This is compatible with PEP 440:
+#   http://legacy.python.org/dev/peps/pep-0440/
+# via the use of the "local suffix" "+dev", which is disallowed on index
+# servers and causes 1.0.0+dev to sort after plain 1.0.0, which is what we
+# want. (Contrast with the special suffix 1.0.0.dev, which sorts *before*
+# 1.0.0.)
+
+__version__ = "0.16.0"

venv/lib/python3.12/site-packages/h11/_writers.py

@@ -0,0 +1,145 @@
+# Code to read HTTP data
+#
+# Strategy: each writer takes an event + a write-some-bytes function, which is
+# calls.
+#
+# WRITERS is a dict describing how to pick a reader. It maps states to either:
+# - a writer
+# - or, for body writers, a dict of framin-dependent writer factories
+
+from typing import Any, Callable, Dict, List, Tuple, Type, Union
+
+from ._events import Data, EndOfMessage, Event, InformationalResponse, Request, Response
+from ._headers import Headers
+from ._state import CLIENT, IDLE, SEND_BODY, SEND_RESPONSE, SERVER
+from ._util import LocalProtocolError, Sentinel
+
+__all__ = ["WRITERS"]
+
+Writer = Callable[[bytes], Any]
+
+
+def write_headers(headers: Headers, write: Writer) -> None:
+    # "Since the Host field-value is critical information for handling a
+    # request, a user agent SHOULD generate Host as the first header field
+    # following the request-line." - RFC 7230
+    raw_items = headers._full_items
+    for raw_name, name, value in raw_items:
+        if name == b"host":
+            write(b"%s: %s\r\n" % (raw_name, value))
+    for raw_name, name, value in raw_items:
+        if name != b"host":
+            write(b"%s: %s\r\n" % (raw_name, value))
+    write(b"\r\n")
+
+
+def write_request(request: Request, write: Writer) -> None:
+    if request.http_version != b"1.1":
+        raise LocalProtocolError("I only send HTTP/1.1")
+    write(b"%s %s HTTP/1.1\r\n" % (request.method, request.target))
+    write_headers(request.headers, write)
+
+
+# Shared between InformationalResponse and Response
+def write_any_response(
+    response: Union[InformationalResponse, Response], write: Writer
+) -> None:
+    if response.http_version != b"1.1":
+        raise LocalProtocolError("I only send HTTP/1.1")
+    status_bytes = str(response.status_code).encode("ascii")
+    # We don't bother sending ascii status messages like "OK"; they're
+    # optional and ignored by the protocol. (But the space after the numeric
+    # status code is mandatory.)
+    #
+    # XX FIXME: could at least make an effort to pull out the status message
+    # from stdlib's http.HTTPStatus table. Or maybe just steal their enums
+    # (either by import or copy/paste). We already accept them as status codes
+    # since they're of type IntEnum < int.
+    write(b"HTTP/1.1 %s %s\r\n" % (status_bytes, response.reason))
+    write_headers(response.headers, write)
+
+
+class BodyWriter:
+    def __call__(self, event: Event, write: Writer) -> None:
+        if type(event) is Data:
+            self.send_data(event.data, write)
+        elif type(event) is EndOfMessage:
+            self.send_eom(event.headers, write)
+        else:  # pragma: no cover
+            assert False
+
+    def send_data(self, data: bytes, write: Writer) -> None:
+        pass
+
+    def send_eom(self, headers: Headers, write: Writer) -> None:
+        pass
+
+
+#
+# These are all careful not to do anything to 'data' except call len(data) and
+# write(data). This allows us to transparently pass-through funny objects,
+# like placeholder objects referring to files on disk that will be sent via
+# sendfile(2).
+#
+class ContentLengthWriter(BodyWriter):
+    def __init__(self, length: int) -> None:
+        self._length = length
+
+    def send_data(self, data: bytes, write: Writer) -> None:
+        self._length -= len(data)
+        if self._length < 0:
+            raise LocalProtocolError("Too much data for declared Content-Length")
+        write(data)
+
+    def send_eom(self, headers: Headers, write: Writer) -> None:
+        if self._length != 0:
+            raise LocalProtocolError("Too little data for declared Content-Length")
+        if headers:
+            raise LocalProtocolError("Content-Length and trailers don't mix")
+
+
+class ChunkedWriter(BodyWriter):
+    def send_data(self, data: bytes, write: Writer) -> None:
+        # if we encoded 0-length data in the naive way, it would look like an
+        # end-of-message.
+        if not data:
+            return
+        write(b"%x\r\n" % len(data))
+        write(data)
+        write(b"\r\n")
+
+    def send_eom(self, headers: Headers, write: Writer) -> None:
+        write(b"0\r\n")
+        write_headers(headers, write)
+
+
+class Http10Writer(BodyWriter):
+    def send_data(self, data: bytes, write: Writer) -> None:
+        write(data)
+
+    def send_eom(self, headers: Headers, write: Writer) -> None:
+        if headers:
+            raise LocalProtocolError("can't send trailers to HTTP/1.0 client")
+        # no need to close the socket ourselves, that will be taken care of by
+        # Connection: close machinery
+
+
+WritersType = Dict[
+    Union[Tuple[Type[Sentinel], Type[Sentinel]], Type[Sentinel]],
+    Union[
+        Dict[str, Type[BodyWriter]],
+        Callable[[Union[InformationalResponse, Response], Writer], None],
+        Callable[[Request, Writer], None],
+    ],
+]
+
+WRITERS: WritersType = {
+    (CLIENT, IDLE): write_request,
+    (SERVER, IDLE): write_any_response,
+    (SERVER, SEND_RESPONSE): write_any_response,
+    SEND_BODY: {
+        "chunked": ChunkedWriter,
+        "content-length": ContentLengthWriter,
+        "http/1.0": Http10Writer,
+    },
+}

venv/lib/python3.12/site-packages/h11/py.typed

@@ -0,0 +1 @@
+Marker

venv/lib/python3.12/site-packages/idna-3.13.dist-info/INSTALLER

@@ -0,0 +1 @@
+pip

venv/lib/python3.12/site-packages/idna-3.13.dist-info/METADATA

@@ -0,0 +1,204 @@
+Metadata-Version: 2.4
+Name: idna
+Version: 3.13
+Summary: Internationalized Domain Names in Applications (IDNA)
+Author-email: Kim Davies <kim+pypi@gumleaf.org>
+Requires-Python: >=3.8
+Description-Content-Type: text/x-rst
+License-Expression: BSD-3-Clause
+Classifier: Development Status :: 5 - Production/Stable
+Classifier: Intended Audience :: Developers
+Classifier: Intended Audience :: System Administrators
+Classifier: Operating System :: OS Independent
+Classifier: Programming Language :: Python
+Classifier: Programming Language :: Python :: 3
+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
+Classifier: Programming Language :: Python :: Implementation :: CPython
+Classifier: Programming Language :: Python :: Implementation :: PyPy
+Classifier: Topic :: Internet :: Name Service (DNS)
+Classifier: Topic :: Software Development :: Libraries :: Python Modules
+Classifier: Topic :: Utilities
+License-File: LICENSE.md
+Requires-Dist: ruff >= 0.6.2 ; extra == "all"
+Requires-Dist: mypy >= 1.11.2 ; extra == "all"
+Requires-Dist: pytest >= 8.3.2 ; extra == "all"
+Project-URL: Changelog, https://github.com/kjd/idna/blob/master/HISTORY.rst
+Project-URL: Issue tracker, https://github.com/kjd/idna/issues
+Project-URL: Source, https://github.com/kjd/idna
+Provides-Extra: all
+
+Internationalized Domain Names in Applications (IDNA)
+=====================================================
+
+Support for `Internationalized Domain Names in
+Applications (IDNA) <https://tools.ietf.org/html/rfc5891>`_
+and `Unicode IDNA Compatibility Processing
+<https://unicode.org/reports/tr46/>`_.
+
+The latest versions of these standards supplied here provide
+more comprehensive language coverage and reduce the potential of
+allowing domains with known security vulnerabilities. This library
+is a suitable replacement for the “encodings.idna”
+module that comes with the Python standard library, but which
+only supports an older superseded IDNA specification from 2003.
+
+Basic functions are simply executed:
+
+.. code-block:: pycon
+
+    >>> import idna
+    >>> idna.encode('ドメイン.テスト')
+    b'xn--eckwd4c7c.xn--zckzah'
+    >>> print(idna.decode('xn--eckwd4c7c.xn--zckzah'))
+    ドメイン.テスト
+
+
+Installation
+------------
+
+This package is available for installation from PyPI via the
+typical mechanisms, such as:
+
+.. code-block:: bash
+
+    $ python3 -m pip install idna
+
+
+Usage
+-----
+
+For typical usage, the ``encode`` and ``decode`` functions will take a
+domain name argument and perform a conversion to ASCII-compatible encoding
+(known as A-labels), or to Unicode strings (known as U-labels)
+respectively.
+
+.. code-block:: pycon
+
+    >>> import idna
+    >>> idna.encode('ドメイン.テスト')
+    b'xn--eckwd4c7c.xn--zckzah'
+    >>> print(idna.decode('xn--eckwd4c7c.xn--zckzah'))
+    ドメイン.テスト
+
+Conversions can be applied at a per-label basis using the ``ulabel`` or
+``alabel`` functions if necessary:
+
+.. code-block:: pycon
+
+    >>> idna.alabel('测试')
+    b'xn--0zwm56d'
+
+
+Compatibility Mapping (UTS #46)
++++++++++++++++++++++++++++++++
+
+This library provides support for `Unicode IDNA Compatibility
+Processing <https://unicode.org/reports/tr46/>`_ which normalizes input from
+different potential ways a user may input a domain prior to performing the IDNA
+conversion operations. This functionality, known as a 
+`mapping <https://tools.ietf.org/html/rfc5895>`_, is considered by the
+specification to be a local user-interface issue distinct from IDNA
+conversion functionality.
+
+For example, “Königsgäßchen” is not a permissible label as *LATIN
+CAPITAL LETTER K* is not allowed (nor are capital letters in general).
+UTS 46 will convert this into lower case prior to applying the IDNA
+conversion.
+
+.. code-block:: pycon
+
+    >>> import idna
+    >>> idna.encode('Königsgäßchen')
+    ...
+    idna.core.InvalidCodepoint: Codepoint U+004B at position 1 of 'Königsgäßchen' not allowed
+    >>> idna.encode('Königsgäßchen', uts46=True)
+    b'xn--knigsgchen-b4a3dun'
+    >>> print(idna.decode('xn--knigsgchen-b4a3dun'))
+    königsgäßchen
+
+
+Exceptions
+----------
+
+All errors raised during the conversion following the specification
+should raise an exception derived from the ``idna.IDNAError`` base
+class.
+
+More specific exceptions that may be generated as ``idna.IDNABidiError``
+when the error reflects an illegal combination of left-to-right and
+right-to-left characters in a label; ``idna.InvalidCodepoint`` when
+a specific codepoint is an illegal character in an IDN label (i.e.
+INVALID); and ``idna.InvalidCodepointContext`` when the codepoint is
+illegal based on its position in the string (i.e. it is CONTEXTO or CONTEXTJ
+but the contextual requirements are not satisfied.)
+
+Building and Diagnostics
+------------------------
+
+The IDNA and UTS 46 functionality relies upon pre-calculated lookup
+tables for performance. These tables are derived from computing against
+eligibility criteria in the respective standards using the command-line
+script ``tools/idna-data``.
+
+This tool will fetch relevant codepoint data from the Unicode repository
+and perform the required calculations to identify eligibility. There are
+three main modes:
+
+* ``idna-data make-libdata``. Generates ``idnadata.py`` and
+  ``uts46data.py``, the pre-calculated lookup tables used for IDNA and
+  UTS 46 conversions. Implementers who wish to track this library against
+  a different Unicode version may use this tool to manually generate a
+  different version of the ``idnadata.py`` and ``uts46data.py`` files.
+
+* ``idna-data make-table``. Generate a table of the IDNA disposition
+  (e.g. PVALID, CONTEXTJ, CONTEXTO) in the format found in Appendix
+  B.1 of RFC 5892 and the pre-computed tables published by `IANA
+  <https://www.iana.org/>`_.
+
+* ``idna-data U+0061``. Prints debugging output on the various
+  properties associated with an individual Unicode codepoint (in this
+  case, U+0061), that are used to assess the IDNA and UTS 46 status of a
+  codepoint. This is helpful in debugging or analysis.
+
+The tool accepts a number of arguments, described using ``idna-data -h``.
+Most notably, the ``--version`` argument allows the specification
+of the version of Unicode to be used in computing the table data. For
+example, ``idna-data --version 9.0.0 make-libdata`` will generate
+library data against Unicode 9.0.0.
+
+
+Additional Notes
+----------------
+
+* **Packages**. The latest tagged release version is published in the
+  `Python Package Index <https://pypi.org/project/idna/>`_.
+
+* **Version support**. This library supports Python 3.8 and higher.
+  As this library serves as a low-level toolkit for a variety of
+  applications, many of which strive for broad compatibility with older
+  Python versions, there is no rush to remove older interpreter support.
+  Support for older versions are likely to be removed from new releases
+  as automated tests can no longer easily be run, i.e. once the Python
+  version is officially end-of-life.
+
+* **Testing**. The library has a test suite based on each rule of the
+  IDNA specification, as well as tests that are provided as part of the
+  Unicode Technical Standard 46, `Unicode IDNA Compatibility Processing
+  <https://unicode.org/reports/tr46/>`_.
+
+* **Emoji**. It is an occasional request to support emoji domains in
+  this library. Encoding of symbols like emoji is expressly prohibited by
+  the IDNA technical standard, and emoji domains are broadly phased
+  out across the domain industry due to associated security risks.
+
+* **Transitional processing**. Unicode 16.0.0 removed transitional
+  processing so the `transitional` argument for the encode() method
+  no longer has any effect and will be removed at a later date.
+

venv/lib/python3.12/site-packages/idna-3.13.dist-info/RECORD

@@ -0,0 +1,22 @@
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+idna-3.13.dist-info/licenses/LICENSE.md,sha256=GppPDj1HmickDd1ZqRN6ZqtKD539yMphiMwL_YUYfwQ,1541
+idna/__init__.py,sha256=MPqNDLZbXqGaNdXxAFhiqFPKEQXju2jNQhCey6-5eJM,868
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+idna/__pycache__/compat.cpython-312.pyc,,
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+idna/__pycache__/idnadata.cpython-312.pyc,,
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+idna/__pycache__/package_data.cpython-312.pyc,,
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+idna/codec.py,sha256=M2SGWN7cs_6B32QmKTyTN6xQGZeYQgQ2wiX3_DR6loE,3438
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venv/lib/python3.12/site-packages/idna-3.13.dist-info/WHEEL

@@ -0,0 +1,4 @@
+Wheel-Version: 1.0
+Generator: flit 3.12.0
+Root-Is-Purelib: true
+Tag: py3-none-any

venv/lib/python3.12/site-packages/idna/__init__.py

@@ -0,0 +1,45 @@
+from .core import (
+    IDNABidiError,
+    IDNAError,
+    InvalidCodepoint,
+    InvalidCodepointContext,
+    alabel,
+    check_bidi,
+    check_hyphen_ok,
+    check_initial_combiner,
+    check_label,
+    check_nfc,
+    decode,
+    encode,
+    ulabel,
+    uts46_remap,
+    valid_contextj,
+    valid_contexto,
+    valid_label_length,
+    valid_string_length,
+)
+from .intranges import intranges_contain
+from .package_data import __version__
+
+__all__ = [
+    "__version__",
+    "IDNABidiError",
+    "IDNAError",
+    "InvalidCodepoint",
+    "InvalidCodepointContext",
+    "alabel",
+    "check_bidi",
+    "check_hyphen_ok",
+    "check_initial_combiner",
+    "check_label",
+    "check_nfc",
+    "decode",
+    "encode",
+    "intranges_contain",
+    "ulabel",
+    "uts46_remap",
+    "valid_contextj",
+    "valid_contexto",
+    "valid_label_length",
+    "valid_string_length",
+]

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venv/lib/python3.12/site-packages/pydantic-2.13.4.dist-info/WHEEL

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+Generator: hatchling 1.29.0
+Root-Is-Purelib: true
+Tag: py3-none-any

venv/lib/python3.12/site-packages/pydantic_core-2.46.4.dist-info/INSTALLER

@@ -0,0 +1 @@
+pip

venv/lib/python3.12/site-packages/pydantic_core-2.46.4.dist-info/METADATA

@@ -0,0 +1,173 @@
+Metadata-Version: 2.4
+Name: pydantic_core
+Version: 2.46.4
+Classifier: Development Status :: 3 - Alpha
+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: Programming Language :: Python :: 3.14
+Classifier: Programming Language :: Python :: Implementation :: CPython
+Classifier: Programming Language :: Python :: Implementation :: PyPy
+Classifier: Programming Language :: Python :: Implementation :: GraalPy
+Classifier: Programming Language :: Rust
+Classifier: Framework :: Pydantic
+Classifier: Intended Audience :: Developers
+Classifier: Intended Audience :: Information Technology
+Classifier: Operating System :: POSIX :: Linux
+Classifier: Operating System :: Microsoft :: Windows
+Classifier: Operating System :: MacOS
+Classifier: Typing :: Typed
+Requires-Dist: typing-extensions>=4.14.1
+License-File: LICENSE
+Summary: Core functionality for Pydantic validation and serialization
+Home-Page: https://github.com/pydantic/pydantic
+Author-email: Samuel Colvin <s@muelcolvin.com>, Adrian Garcia Badaracco <1755071+adriangb@users.noreply.github.com>, David Montague <david@pydantic.dev>, David Hewitt <mail@davidhewitt.dev>, Sydney Runkle <sydneymarierunkle@gmail.com>, Victorien Plot <contact@vctrn.dev>
+License-Expression: MIT
+Requires-Python: >=3.9
+Description-Content-Type: text/markdown; charset=UTF-8; variant=GFM
+Project-URL: Funding, https://github.com/sponsors/samuelcolvin
+Project-URL: Homepage, https://github.com/pydantic
+Project-URL: Source, https://github.com/pydantic/pydantic/tree/main/pydantic-core
+
+# pydantic-core
+
+[![CI](https://github.com/pydantic/pydantic-core/workflows/ci/badge.svg?event=push)](https://github.com/pydantic/pydantic-core/actions?query=event%3Apush+branch%3Amain+workflow%3Aci)
+[![Coverage](https://codecov.io/gh/pydantic/pydantic-core/branch/main/graph/badge.svg)](https://codecov.io/gh/pydantic/pydantic-core)
+[![pypi](https://img.shields.io/pypi/v/pydantic-core.svg)](https://pypi.python.org/pypi/pydantic-core)
+[![versions](https://img.shields.io/pypi/pyversions/pydantic-core.svg)](https://github.com/pydantic/pydantic-core)
+[![license](https://img.shields.io/github/license/pydantic/pydantic-core.svg)](https://github.com/pydantic/pydantic-core/blob/main/LICENSE)
+
+This package provides the core functionality for [pydantic](https://docs.pydantic.dev) validation and serialization.
+
+Pydantic-core is currently around 17x faster than pydantic V1.
+See [`tests/benchmarks/`](./tests/benchmarks/) for details.
+
+## Example of direct usage
+
+*NOTE: You should not need to use pydantic-core directly; instead, use pydantic, which in turn uses pydantic-core.*
+
+```py
+from pydantic_core import SchemaValidator, ValidationError
+
+
+v = SchemaValidator(
+    {
+        'type': 'typed-dict',
+        'fields': {
+            'name': {
+                'type': 'typed-dict-field',
+                'schema': {
+                    'type': 'str',
+                },
+            },
+            'age': {
+                'type': 'typed-dict-field',
+                'schema': {
+                    'type': 'int',
+                    'ge': 18,
+                },
+            },
+            'is_developer': {
+                'type': 'typed-dict-field',
+                'schema': {
+                    'type': 'default',
+                    'schema': {'type': 'bool'},
+                    'default': True,
+                },
+            },
+        },
+    }
+)
+
+r1 = v.validate_python({'name': 'Samuel', 'age': 35})
+assert r1 == {'name': 'Samuel', 'age': 35, 'is_developer': True}
+
+# pydantic-core can also validate JSON directly
+r2 = v.validate_json('{"name": "Samuel", "age": 35}')
+assert r1 == r2
+
+try:
+    v.validate_python({'name': 'Samuel', 'age': 11})
+except ValidationError as e:
+    print(e)
+    """
+    1 validation error for model
+    age
+      Input should be greater than or equal to 18
+      [type=greater_than_equal, context={ge: 18}, input_value=11, input_type=int]
+    """
+```
+
+## Getting Started
+
+### Prerequisites
+
+You'll need:
+
+1. **[Rust](https://rustup.rs/)** - Rust stable (or nightly for coverage)
+2. **[uv](https://docs.astral.sh/uv/getting-started/installation/)** - Fast Python package manager (will install Python 3.9+ automatically)
+3. **[git](https://git-scm.com/)** - For version control
+4. **[make](https://www.gnu.org/software/make/)** - For running development commands (or use `nmake` on Windows)
+
+### Quick Start
+
+```bash
+# Clone the repository (or from your fork)
+git clone git@github.com:pydantic/pydantic-core.git
+cd pydantic-core
+
+# Install all dependencies using uv, setup pre-commit hooks, and build the development version
+make install
+```
+
+Verify your installation by running:
+
+```bash
+make
+```
+
+This runs a full development cycle: formatting, building, linting, and testing
+
+### Development Commands
+
+Run `make help` to see all available commands, or use these common ones:
+
+```bash
+make build-dev    # to build the package during development
+make build-prod   # to perform an optimised build for benchmarking
+make test         # to run the tests
+make testcov      # to run the tests and generate a coverage report
+make lint         # to run the linter
+make format       # to format python and rust code
+make all          # to run to run build-dev + format + lint + test
+```
+
+### Useful Resources
+
+* [`python/pydantic_core/_pydantic_core.pyi`](./python/pydantic_core/_pydantic_core.pyi) - Python API types
+* [`python/pydantic_core/core_schema.py`](./python/pydantic_core/core_schema.py) - Core schema definitions
+* [`tests/`](./tests) - Comprehensive usage examples
+
+## Profiling
+
+It's possible to profile the code using the [`flamegraph` utility from `flamegraph-rs`](https://github.com/flamegraph-rs/flamegraph). (Tested on Linux.) You can install this with `cargo install flamegraph`.
+
+Run `make build-profiling` to install a release build with debugging symbols included (needed for profiling).
+
+Once that is built, you can profile pytest benchmarks with (e.g.):
+
+```bash
+flamegraph -- pytest tests/benchmarks/test_micro_benchmarks.py -k test_list_of_ints_core_py --benchmark-enable
+```
+
+The `flamegraph` command will produce an interactive SVG at `flamegraph.svg`.
+
+## Releasing
+
+TBC (needs to be integrated into `pydantic` repository release process).
+

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venv/lib/python3.12/site-packages/pydantic_core-2.46.4.dist-info/WHEEL

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+Generator: maturin (1.13.1)
+Root-Is-Purelib: false
+Tag: cp312-cp312-manylinux_2_17_x86_64
+Tag: cp312-cp312-manylinux2014_x86_64

venv/lib/python3.12/site-packages/pydantic_core/__init__.py

@@ -0,0 +1,171 @@
+from __future__ import annotations
+
+import sys as _sys
+from typing import Any as _Any
+
+from typing_extensions import Sentinel
+
+from ._pydantic_core import (
+    ArgsKwargs,
+    MultiHostUrl,
+    PydanticCustomError,
+    PydanticKnownError,
+    PydanticOmit,
+    PydanticSerializationError,
+    PydanticSerializationUnexpectedValue,
+    PydanticUndefined,
+    PydanticUndefinedType,
+    PydanticUseDefault,
+    SchemaError,
+    SchemaSerializer,
+    SchemaValidator,
+    Some,
+    TzInfo,
+    Url,
+    ValidationError,
+    __version__,
+    from_json,
+    to_json,
+    to_jsonable_python,
+)
+from .core_schema import CoreConfig, CoreSchema, CoreSchemaType, ErrorType
+
+if _sys.version_info < (3, 11):
+    from typing_extensions import NotRequired as _NotRequired
+else:
+    from typing import NotRequired as _NotRequired
+
+if _sys.version_info < (3, 12):
+    from typing_extensions import TypedDict as _TypedDict
+else:
+    from typing import TypedDict as _TypedDict
+
+__all__ = [
+    '__version__',
+    'UNSET',
+    'CoreConfig',
+    'CoreSchema',
+    'CoreSchemaType',
+    'SchemaValidator',
+    'SchemaSerializer',
+    'Some',
+    'Url',
+    'MultiHostUrl',
+    'ArgsKwargs',
+    'PydanticUndefined',
+    'PydanticUndefinedType',
+    'SchemaError',
+    'ErrorDetails',
+    'InitErrorDetails',
+    'ValidationError',
+    'PydanticCustomError',
+    'PydanticKnownError',
+    'PydanticOmit',
+    'PydanticUseDefault',
+    'PydanticSerializationError',
+    'PydanticSerializationUnexpectedValue',
+    'TzInfo',
+    'to_json',
+    'from_json',
+    'to_jsonable_python',
+]
+
+
+class ErrorDetails(_TypedDict):
+    type: str
+    """
+    The type of error that occurred, this is an identifier designed for
+    programmatic use that will change rarely or never.
+
+    `type` is unique for each error message, and can hence be used as an identifier to build custom error messages.
+    """
+    loc: tuple[int | str, ...]
+    """Tuple of strings and ints identifying where in the schema the error occurred."""
+    msg: str
+    """A human readable error message."""
+    input: _Any
+    """The input data at this `loc` that caused the error."""
+    ctx: _NotRequired[dict[str, _Any]]
+    """
+    Values which are required to render the error message, and could hence be useful in rendering custom error messages.
+    Also useful for passing custom error data forward.
+    """
+    url: _NotRequired[str]
+    """
+    The documentation URL giving information about the error. No URL is available if
+    a [`PydanticCustomError`][pydantic_core.PydanticCustomError] is used.
+    """
+
+
+class InitErrorDetails(_TypedDict):
+    type: str | PydanticCustomError
+    """The type of error that occurred, this should be a "slug" identifier that changes rarely or never."""
+    loc: _NotRequired[tuple[int | str, ...]]
+    """Tuple of strings and ints identifying where in the schema the error occurred."""
+    input: _Any
+    """The input data at this `loc` that caused the error."""
+    ctx: _NotRequired[dict[str, _Any]]
+    """
+    Values which are required to render the error message, and could hence be useful in rendering custom error messages.
+    Also useful for passing custom error data forward.
+    """
+
+
+class ErrorTypeInfo(_TypedDict):
+    """
+    Gives information about errors.
+    """
+
+    type: ErrorType
+    """The type of error that occurred, this should be a "slug" identifier that changes rarely or never."""
+    message_template_python: str
+    """String template to render a human readable error message from using context, when the input is Python."""
+    example_message_python: str
+    """Example of a human readable error message, when the input is Python."""
+    message_template_json: _NotRequired[str]
+    """String template to render a human readable error message from using context, when the input is JSON data."""
+    example_message_json: _NotRequired[str]
+    """Example of a human readable error message, when the input is JSON data."""
+    example_context: dict[str, _Any] | None
+    """Example of context values."""
+
+
+class MultiHostHost(_TypedDict):
+    """
+    A host part of a multi-host URL.
+    """
+
+    username: str | None
+    """The username part of this host, or `None`."""
+    password: str | None
+    """The password part of this host, or `None`."""
+    host: str | None
+    """The host part of this host, or `None`."""
+    port: int | None
+    """The port part of this host, or `None`."""
+
+
+MISSING = Sentinel('MISSING')
+"""A singleton indicating a field value was not provided during validation.
+
+This singleton can be used a default value, as an alternative to `None` when it has
+an explicit meaning. During serialization, any field with `MISSING` as a value is excluded
+from the output.
+
+Example:
+    ```python
+    from pydantic import BaseModel
+
+    from pydantic_core import MISSING
+
+
+    class Configuration(BaseModel):
+        timeout: int | None | MISSING = MISSING
+
+
+    # configuration defaults, stored somewhere else:
+    defaults = {'timeout': 200}
+
+    conf = Configuration.model_validate({...})
+    timeout = conf.timeout if timeout.timeout is not MISSING else defaults['timeout']
+"""

venv/lib/python3.12/site-packages/pydantic_core/_pydantic_core.pyi

@@ -0,0 +1,1056 @@
+import datetime
+from collections.abc import Mapping
+from typing import Any, Callable, Generic, Literal, TypeVar, final
+
+from _typeshed import SupportsAllComparisons
+from typing_extensions import LiteralString, Self, TypeAlias
+
+from pydantic_core import ErrorDetails, ErrorTypeInfo, InitErrorDetails, MultiHostHost
+from pydantic_core.core_schema import CoreConfig, CoreSchema, ErrorType, ExtraBehavior
+
+__all__ = [
+    '__version__',
+    'build_profile',
+    'build_info',
+    '_recursion_limit',
+    'ArgsKwargs',
+    'SchemaValidator',
+    'SchemaSerializer',
+    'Url',
+    'MultiHostUrl',
+    'SchemaError',
+    'ValidationError',
+    'PydanticCustomError',
+    'PydanticKnownError',
+    'PydanticOmit',
+    'PydanticUseDefault',
+    'PydanticSerializationError',
+    'PydanticSerializationUnexpectedValue',
+    'PydanticUndefined',
+    'PydanticUndefinedType',
+    'Some',
+    'to_json',
+    'from_json',
+    'to_jsonable_python',
+    'list_all_errors',
+    'TzInfo',
+]
+__version__: str
+build_profile: str
+build_info: str
+_recursion_limit: int
+
+_T = TypeVar('_T', default=Any, covariant=True)
+
+_StringInput: TypeAlias = 'dict[str, _StringInput]'
+
+@final
+class Some(Generic[_T]):
+    """
+    Similar to Rust's [`Option::Some`](https://doc.rust-lang.org/std/option/enum.Option.html) type, this
+    identifies a value as being present, and provides a way to access it.
+
+    Generally used in a union with `None` to different between "some value which could be None" and no value.
+    """
+
+    __match_args__ = ('value',)
+
+    @property
+    def value(self) -> _T:
+        """
+        Returns the value wrapped by `Some`.
+        """
+    @classmethod
+    def __class_getitem__(cls, item: Any, /) -> type[Self]: ...
+
+@final
+class SchemaValidator:
+    """
+    `SchemaValidator` is the Python wrapper for `pydantic-core`'s Rust validation logic, internally it owns one
+    `CombinedValidator` which may in turn own more `CombinedValidator`s which make up the full schema validator.
+    """
+
+    # note: pyo3 currently supports __new__, but not __init__, though we include __init__ stubs
+    # and docstrings here (and in the following classes) for documentation purposes
+
+    def __init__(self, schema: CoreSchema, config: CoreConfig | None = None, _use_prebuilt: bool = True) -> None:
+        """Initializes the `SchemaValidator`.
+
+        Arguments:
+            schema: The `CoreSchema` to use for validation.
+            config: Optionally a [`CoreConfig`][pydantic_core.core_schema.CoreConfig] to configure validation.
+            _use_prebuilt: Whether to use pre-built validators (False during rebuilds to avoid stale references).
+        """
+
+    def __new__(cls, schema: CoreSchema, config: CoreConfig | None = None, _use_prebuilt: bool = True) -> Self: ...
+    @property
+    def title(self) -> str:
+        """
+        The title of the schema, as used in the heading of [`ValidationError.__str__()`][pydantic_core.ValidationError].
+        """
+    def validate_python(
+        self,
+        input: Any,
+        *,
+        strict: bool | None = None,
+        extra: ExtraBehavior | None = None,
+        from_attributes: bool | None = None,
+        context: Any | None = None,
+        self_instance: Any | None = None,
+        allow_partial: bool | Literal['off', 'on', 'trailing-strings'] = False,
+        by_alias: bool | None = None,
+        by_name: bool | None = None,
+    ) -> Any:
+        """
+        Validate a Python object against the schema and return the validated object.
+
+        Arguments:
+            input: The Python object to validate.
+            strict: Whether to validate the object in strict mode.
+                If `None`, the value of [`CoreConfig.strict`][pydantic_core.core_schema.CoreConfig] is used.
+            extra: Whether to ignore, allow, or forbid extra data during model validation.
+                If `None`, the value of [`CoreConfig.extra_fields_behavior`][pydantic_core.core_schema.CoreConfig] is used.
+            from_attributes: Whether to validate objects as inputs to models by extracting attributes.
+                If `None`, the value of [`CoreConfig.from_attributes`][pydantic_core.core_schema.CoreConfig] is used.
+            context: The context to use for validation, this is passed to functional validators as
+                [`info.context`][pydantic_core.core_schema.ValidationInfo.context].
+            self_instance: An instance of a model set attributes on from validation, this is used when running
+                validation from the `__init__` method of a model.
+            allow_partial: Whether to allow partial validation; if `True` errors in the last element of sequences
+                and mappings are ignored.
+                `'trailing-strings'` means any final unfinished JSON string is included in the result.
+            by_alias: Whether to use the field's alias when validating against the provided input data.
+            by_name: Whether to use the field's name when validating against the provided input data.
+
+        Raises:
+            ValidationError: If validation fails.
+            Exception: Other error types maybe raised if internal errors occur.
+
+        Returns:
+            The validated object.
+        """
+    def isinstance_python(
+        self,
+        input: Any,
+        *,
+        strict: bool | None = None,
+        extra: ExtraBehavior | None = None,
+        from_attributes: bool | None = None,
+        context: Any | None = None,
+        self_instance: Any | None = None,
+        by_alias: bool | None = None,
+        by_name: bool | None = None,
+    ) -> bool:
+        """
+        Similar to [`validate_python()`][pydantic_core.SchemaValidator.validate_python] but returns a boolean.
+
+        Arguments match `validate_python()`. This method will not raise `ValidationError`s but will raise internal
+        errors.
+
+        Returns:
+            `True` if validation succeeds, `False` if validation fails.
+        """
+    def validate_json(
+        self,
+        input: str | bytes | bytearray,
+        *,
+        strict: bool | None = None,
+        extra: ExtraBehavior | None = None,
+        context: Any | None = None,
+        self_instance: Any | None = None,
+        allow_partial: bool | Literal['off', 'on', 'trailing-strings'] = False,
+        by_alias: bool | None = None,
+        by_name: bool | None = None,
+    ) -> Any:
+        """
+        Validate JSON data directly against the schema and return the validated Python object.
+
+        This method should be significantly faster than `validate_python(json.loads(json_data))` as it avoids the
+        need to create intermediate Python objects
+
+        It also handles constructing the correct Python type even in strict mode, where
+        `validate_python(json.loads(json_data))` would fail validation.
+
+        Arguments:
+            input: The JSON data to validate.
+            strict: Whether to validate the object in strict mode.
+                If `None`, the value of [`CoreConfig.strict`][pydantic_core.core_schema.CoreConfig] is used.
+            extra: Whether to ignore, allow, or forbid extra data during model validation.
+                If `None`, the value of [`CoreConfig.extra_fields_behavior`][pydantic_core.core_schema.CoreConfig] is used.
+            context: The context to use for validation, this is passed to functional validators as
+                [`info.context`][pydantic_core.core_schema.ValidationInfo.context].
+            self_instance: An instance of a model set attributes on from validation.
+            allow_partial: Whether to allow partial validation; if `True` incomplete JSON will be parsed successfully
+                and errors in the last element of sequences and mappings are ignored.
+                `'trailing-strings'` means any final unfinished JSON string is included in the result.
+            by_alias: Whether to use the field's alias when validating against the provided input data.
+            by_name: Whether to use the field's name when validating against the provided input data.
+
+        Raises:
+            ValidationError: If validation fails or if the JSON data is invalid.
+            Exception: Other error types maybe raised if internal errors occur.
+
+        Returns:
+            The validated Python object.
+        """
+    def validate_strings(
+        self,
+        input: _StringInput,
+        *,
+        strict: bool | None = None,
+        extra: ExtraBehavior | None = None,
+        context: Any | None = None,
+        allow_partial: bool | Literal['off', 'on', 'trailing-strings'] = False,
+        by_alias: bool | None = None,
+        by_name: bool | None = None,
+    ) -> Any:
+        """
+        Validate a string against the schema and return the validated Python object.
+
+        This is similar to `validate_json` but applies to scenarios where the input will be a string but not
+        JSON data, e.g. URL fragments, query parameters, etc.
+
+        Arguments:
+            input: The input as a string, or bytes/bytearray if `strict=False`.
+            strict: Whether to validate the object in strict mode.
+                If `None`, the value of [`CoreConfig.strict`][pydantic_core.core_schema.CoreConfig] is used.
+            extra: Whether to ignore, allow, or forbid extra data during model validation.
+                If `None`, the value of [`CoreConfig.extra_fields_behavior`][pydantic_core.core_schema.CoreConfig] is used.
+            context: The context to use for validation, this is passed to functional validators as
+                [`info.context`][pydantic_core.core_schema.ValidationInfo.context].
+            allow_partial: Whether to allow partial validation; if `True` errors in the last element of sequences
+                and mappings are ignored.
+                `'trailing-strings'` means any final unfinished JSON string is included in the result.
+            by_alias: Whether to use the field's alias when validating against the provided input data.
+            by_name: Whether to use the field's name when validating against the provided input data.
+
+        Raises:
+            ValidationError: If validation fails or if the JSON data is invalid.
+            Exception: Other error types maybe raised if internal errors occur.
+
+        Returns:
+            The validated Python object.
+        """
+    def validate_assignment(
+        self,
+        obj: Any,
+        field_name: str,
+        field_value: Any,
+        *,
+        strict: bool | None = None,
+        extra: ExtraBehavior | None = None,
+        from_attributes: bool | None = None,
+        context: Any | None = None,
+        by_alias: bool | None = None,
+        by_name: bool | None = None,
+    ) -> dict[str, Any] | tuple[dict[str, Any], dict[str, Any] | None, set[str]]:
+        """
+        Validate an assignment to a field on a model.
+
+        Arguments:
+            obj: The model instance being assigned to.
+            field_name: The name of the field to validate assignment for.
+            field_value: The value to assign to the field.
+            strict: Whether to validate the object in strict mode.
+                If `None`, the value of [`CoreConfig.strict`][pydantic_core.core_schema.CoreConfig] is used.
+            extra: Whether to ignore, allow, or forbid extra data during model validation.
+                If `None`, the value of [`CoreConfig.extra_fields_behavior`][pydantic_core.core_schema.CoreConfig] is used.
+            from_attributes: Whether to validate objects as inputs to models by extracting attributes.
+                If `None`, the value of [`CoreConfig.from_attributes`][pydantic_core.core_schema.CoreConfig] is used.
+            context: The context to use for validation, this is passed to functional validators as
+                [`info.context`][pydantic_core.core_schema.ValidationInfo.context].
+            by_alias: Whether to use the field's alias when validating against the provided input data.
+            by_name: Whether to use the field's name when validating against the provided input data.
+
+        Raises:
+            ValidationError: If validation fails.
+            Exception: Other error types maybe raised if internal errors occur.
+
+        Returns:
+            Either the model dict or a tuple of `(model_data, model_extra, fields_set)`
+        """
+    def get_default_value(self, *, strict: bool | None = None, context: Any = None) -> Some | None:
+        """
+        Get the default value for the schema, including running default value validation.
+
+        Arguments:
+            strict: Whether to validate the default value in strict mode.
+                If `None`, the value of [`CoreConfig.strict`][pydantic_core.core_schema.CoreConfig] is used.
+            context: The context to use for validation, this is passed to functional validators as
+                [`info.context`][pydantic_core.core_schema.ValidationInfo.context].
+
+        Raises:
+            ValidationError: If validation fails.
+            Exception: Other error types maybe raised if internal errors occur.
+
+        Returns:
+            `None` if the schema has no default value, otherwise a [`Some`][pydantic_core.Some] containing the default.
+        """
+
+# In reality, `bool` should be replaced by `Literal[True]` but mypy fails to correctly apply bidirectional type inference
+# (e.g. when using `{'a': {'b': True}}`).
+_IncEx: TypeAlias = set[int] | set[str] | Mapping[int, _IncEx | bool] | Mapping[str, _IncEx | bool]
+
+@final
+class SchemaSerializer:
+    """
+    `SchemaSerializer` is the Python wrapper for `pydantic-core`'s Rust serialization logic, internally it owns one
+    `CombinedSerializer` which may in turn own more `CombinedSerializer`s which make up the full schema serializer.
+    """
+
+    def __init__(self, schema: CoreSchema, config: CoreConfig | None = None, _use_prebuilt: bool = True) -> None:
+        """Initializes the `SchemaSerializer`.
+
+        Arguments:
+            schema: The `CoreSchema` to use for serialization.
+            config: Optionally a [`CoreConfig`][pydantic_core.core_schema.CoreConfig] to to configure serialization.
+            _use_prebuilt: Whether to use pre-built validators (False during rebuilds to avoid stale references).
+        """
+
+    def __new__(cls, schema: CoreSchema, config: CoreConfig | None = None, _use_prebuilt: bool = True) -> Self: ...
+    def to_python(
+        self,
+        value: Any,
+        *,
+        mode: str | None = None,
+        include: _IncEx | None = None,
+        exclude: _IncEx | None = None,
+        by_alias: bool | None = None,
+        exclude_unset: bool = False,
+        exclude_defaults: bool = False,
+        exclude_none: bool = False,
+        exclude_computed_fields: bool = False,
+        round_trip: bool = False,
+        warnings: bool | Literal['none', 'warn', 'error'] = True,
+        fallback: Callable[[Any], Any] | None = None,
+        serialize_as_any: bool = False,
+        polymorphic_serialization: bool | None = None,
+        context: Any | None = None,
+    ) -> Any:
+        """
+        Serialize/marshal a Python object to a Python object including transforming and filtering data.
+
+        Arguments:
+            value: The Python object to serialize.
+            mode: The serialization mode to use, either `'python'` or `'json'`, defaults to `'python'`. In JSON mode,
+                all values are converted to JSON compatible types, e.g. `None`, `int`, `float`, `str`, `list`, `dict`.
+            include: A set of fields to include, if `None` all fields are included.
+            exclude: A set of fields to exclude, if `None` no fields are excluded.
+            by_alias: Whether to use the alias names of fields.
+            exclude_unset: Whether to exclude fields that are not set,
+                e.g. are not included in `__pydantic_fields_set__`.
+            exclude_defaults: Whether to exclude fields that are equal to their default value.
+            exclude_none: Whether to exclude fields that have a value of `None`.
+            exclude_computed_fields: Whether to exclude computed fields.
+            round_trip: Whether to enable serialization and validation round-trip support.
+            warnings: How to handle invalid fields. False/"none" ignores them, True/"warn" logs errors,
+                "error" raises a [`PydanticSerializationError`][pydantic_core.PydanticSerializationError].
+            fallback: A function to call when an unknown value is encountered,
+                if `None` a [`PydanticSerializationError`][pydantic_core.PydanticSerializationError] error is raised.
+            serialize_as_any: Whether to serialize fields with duck-typing serialization behavior.
+            polymorphic_serialization: Whether to use model and dataclass polymorphic serialization for this call.
+            context: The context to use for serialization, this is passed to functional serializers as
+                [`info.context`][pydantic_core.core_schema.SerializationInfo.context].
+
+        Raises:
+            PydanticSerializationError: If serialization fails and no `fallback` function is provided.
+
+        Returns:
+            The serialized Python object.
+        """
+    def to_json(
+        self,
+        value: Any,
+        *,
+        indent: int | None = None,
+        ensure_ascii: bool = False,
+        include: _IncEx | None = None,
+        exclude: _IncEx | None = None,
+        by_alias: bool | None = None,
+        exclude_unset: bool = False,
+        exclude_defaults: bool = False,
+        exclude_none: bool = False,
+        exclude_computed_fields: bool = False,
+        round_trip: bool = False,
+        warnings: bool | Literal['none', 'warn', 'error'] = True,
+        fallback: Callable[[Any], Any] | None = None,
+        serialize_as_any: bool = False,
+        polymorphic_serialization: bool | None = None,
+        context: Any | None = None,
+    ) -> bytes:
+        """
+        Serialize a Python object to JSON including transforming and filtering data.
+
+        Arguments:
+            value: The Python object to serialize.
+            indent: If `None`, the JSON will be compact, otherwise it will be pretty-printed with the indent provided.
+            ensure_ascii: If `True`, the output is guaranteed to have all incoming non-ASCII characters escaped.
+                If `False` (the default), these characters will be output as-is.
+            include: A set of fields to include, if `None` all fields are included.
+            exclude: A set of fields to exclude, if `None` no fields are excluded.
+            by_alias: Whether to use the alias names of fields.
+            exclude_unset: Whether to exclude fields that are not set,
+                e.g. are not included in `__pydantic_fields_set__`.
+            exclude_defaults: Whether to exclude fields that are equal to their default value.
+            exclude_none: Whether to exclude fields that have a value of `None`.
+            exclude_computed_fields: Whether to exclude computed fields.
+            round_trip: Whether to enable serialization and validation round-trip support.
+            warnings: How to handle invalid fields. False/"none" ignores them, True/"warn" logs errors,
+                "error" raises a [`PydanticSerializationError`][pydantic_core.PydanticSerializationError].
+            fallback: A function to call when an unknown value is encountered,
+                if `None` a [`PydanticSerializationError`][pydantic_core.PydanticSerializationError] error is raised.
+            serialize_as_any: Whether to serialize fields with duck-typing serialization behavior.
+            polymorphic_serialization: Whether to use model and dataclass polymorphic serialization for this call.
+            context: The context to use for serialization, this is passed to functional serializers as
+                [`info.context`][pydantic_core.core_schema.SerializationInfo.context].
+
+        Raises:
+            PydanticSerializationError: If serialization fails and no `fallback` function is provided.
+
+        Returns:
+           JSON bytes.
+        """
+
+def to_json(
+    value: Any,
+    *,
+    indent: int | None = None,
+    ensure_ascii: bool = False,
+    include: _IncEx | None = None,
+    exclude: _IncEx | None = None,
+    # Note: In Pydantic 2.11, the default value of `by_alias` on `SchemaSerializer` was changed from `True` to `None`,
+    # to be consistent with the Pydantic "dump" methods. However, the default of `True` was kept here for
+    # backwards compatibility. In Pydantic V3, `by_alias` is expected to default to `True` everywhere:
+    by_alias: bool = True,
+    exclude_none: bool = False,
+    round_trip: bool = False,
+    timedelta_mode: Literal['iso8601', 'float'] = 'iso8601',
+    temporal_mode: Literal['iso8601', 'seconds', 'milliseconds'] = 'iso8601',
+    bytes_mode: Literal['utf8', 'base64', 'hex'] = 'utf8',
+    inf_nan_mode: Literal['null', 'constants', 'strings'] = 'constants',
+    serialize_unknown: bool = False,
+    fallback: Callable[[Any], Any] | None = None,
+    serialize_as_any: bool = False,
+    polymorphic_serialization: bool | None = None,
+    context: Any | None = None,
+) -> bytes:
+    """
+    Serialize a Python object to JSON including transforming and filtering data.
+
+    This is effectively a standalone version of [`SchemaSerializer.to_json`][pydantic_core.SchemaSerializer.to_json].
+
+    Arguments:
+        value: The Python object to serialize.
+        indent: If `None`, the JSON will be compact, otherwise it will be pretty-printed with the indent provided.
+        ensure_ascii: If `True`, the output is guaranteed to have all incoming non-ASCII characters escaped.
+            If `False` (the default), these characters will be output as-is.
+        include: A set of fields to include, if `None` all fields are included.
+        exclude: A set of fields to exclude, if `None` no fields are excluded.
+        by_alias: Whether to use the alias names of fields.
+        exclude_none: Whether to exclude fields that have a value of `None`.
+        round_trip: Whether to enable serialization and validation round-trip support.
+        timedelta_mode: How to serialize `timedelta` objects, either `'iso8601'` or `'float'`.
+        temporal_mode: How to serialize datetime-like objects (`datetime`, `date`, `time`), either `'iso8601'`, `'seconds'`, or `'milliseconds'`.
+            `iso8601` returns an ISO 8601 string; `seconds` returns the Unix timestamp in seconds as a float; `milliseconds` returns the Unix timestamp in milliseconds as a float.
+
+        bytes_mode: How to serialize `bytes` objects, either `'utf8'`, `'base64'`, or `'hex'`.
+        inf_nan_mode: How to serialize `Infinity`, `-Infinity` and `NaN` values, either `'null'`, `'constants'`, or `'strings'`.
+        serialize_unknown: Attempt to serialize unknown types, `str(value)` will be used, if that fails
+            `"<Unserializable {value_type} object>"` will be used.
+        fallback: A function to call when an unknown value is encountered,
+            if `None` a [`PydanticSerializationError`][pydantic_core.PydanticSerializationError] error is raised.
+        serialize_as_any: Whether to serialize fields with duck-typing serialization behavior.
+        polymorphic_serialization: Whether to use model and dataclass polymorphic serialization for this call.
+        context: The context to use for serialization, this is passed to functional serializers as
+            [`info.context`][pydantic_core.core_schema.SerializationInfo.context].
+
+    Raises:
+        PydanticSerializationError: If serialization fails and no `fallback` function is provided.
+
+    Returns:
+       JSON bytes.
+    """
+
+def from_json(
+    data: str | bytes | bytearray,
+    *,
+    allow_inf_nan: bool = True,
+    cache_strings: bool | Literal['all', 'keys', 'none'] = True,
+    allow_partial: bool | Literal['off', 'on', 'trailing-strings'] = False,
+) -> Any:
+    """
+    Deserialize JSON data to a Python object.
+
+    This is effectively a faster version of `json.loads()`, with some extra functionality.
+
+    Arguments:
+        data: The JSON data to deserialize.
+        allow_inf_nan: Whether to allow `Infinity`, `-Infinity` and `NaN` values as `json.loads()` does by default.
+        cache_strings: Whether to cache strings to avoid constructing new Python objects,
+            this should have a significant impact on performance while increasing memory usage slightly,
+            `all/True` means cache all strings, `keys` means cache only dict keys, `none/False` means no caching.
+        allow_partial: Whether to allow partial deserialization, if `True` JSON data is returned if the end of the
+            input is reached before the full object is deserialized, e.g. `["aa", "bb", "c` would return `['aa', 'bb']`.
+            `'trailing-strings'` means any final unfinished JSON string is included in the result.
+
+    Raises:
+        ValueError: If deserialization fails.
+
+    Returns:
+        The deserialized Python object.
+    """
+
+def to_jsonable_python(
+    value: Any,
+    *,
+    include: _IncEx | None = None,
+    exclude: _IncEx | None = None,
+    # Note: In Pydantic 2.11, the default value of `by_alias` on `SchemaSerializer` was changed from `True` to `None`,
+    # to be consistent with the Pydantic "dump" methods. However, the default of `True` was kept here for
+    # backwards compatibility. In Pydantic V3, `by_alias` is expected to default to `True` everywhere:
+    by_alias: bool = True,
+    exclude_none: bool = False,
+    round_trip: bool = False,
+    timedelta_mode: Literal['iso8601', 'float'] = 'iso8601',
+    temporal_mode: Literal['iso8601', 'seconds', 'milliseconds'] = 'iso8601',
+    bytes_mode: Literal['utf8', 'base64', 'hex'] = 'utf8',
+    inf_nan_mode: Literal['null', 'constants', 'strings'] = 'constants',
+    serialize_unknown: bool = False,
+    fallback: Callable[[Any], Any] | None = None,
+    serialize_as_any: bool = False,
+    polymorphic_serialization: bool | None = None,
+    context: Any | None = None,
+) -> Any:
+    """
+    Serialize/marshal a Python object to a JSON-serializable Python object including transforming and filtering data.
+
+    This is effectively a standalone version of
+    [`SchemaSerializer.to_python(mode='json')`][pydantic_core.SchemaSerializer.to_python].
+
+    Args:
+        value: The Python object to serialize.
+        include: A set of fields to include, if `None` all fields are included.
+        exclude: A set of fields to exclude, if `None` no fields are excluded.
+        by_alias: Whether to use the alias names of fields.
+        exclude_none: Whether to exclude fields that have a value of `None`.
+        round_trip: Whether to enable serialization and validation round-trip support.
+        timedelta_mode: How to serialize `timedelta` objects, either `'iso8601'` or `'float'`.
+        temporal_mode: How to serialize datetime-like objects (`datetime`, `date`, `time`), either `'iso8601'`, `'seconds'`, or `'milliseconds'`.
+            `iso8601` returns an ISO 8601 string; `seconds` returns the Unix timestamp in seconds as a float; `milliseconds` returns the Unix timestamp in milliseconds as a float.
+
+        bytes_mode: How to serialize `bytes` objects, either `'utf8'`, `'base64'`, or `'hex'`.
+        inf_nan_mode: How to serialize `Infinity`, `-Infinity` and `NaN` values, either `'null'`, `'constants'`, or `'strings'`.
+        serialize_unknown: Attempt to serialize unknown types, `str(value)` will be used, if that fails
+            `"<Unserializable {value_type} object>"` will be used.
+        fallback: A function to call when an unknown value is encountered,
+            if `None` a [`PydanticSerializationError`][pydantic_core.PydanticSerializationError] error is raised.
+        serialize_as_any: Whether to serialize fields with duck-typing serialization behavior.
+        polymorphic_serialization: Whether to use model and dataclass polymorphic serialization for this call.
+        context: The context to use for serialization, this is passed to functional serializers as
+            [`info.context`][pydantic_core.core_schema.SerializationInfo.context].
+
+    Raises:
+        PydanticSerializationError: If serialization fails and no `fallback` function is provided.
+
+    Returns:
+        The serialized Python object.
+    """
+
+class Url(SupportsAllComparisons):
+    """
+    A URL type, internal logic uses the [url rust crate](https://docs.rs/url/latest/url/) originally developed
+    by Mozilla.
+    """
+
+    def __init__(self, url: str) -> None: ...
+    def __new__(cls, url: str) -> Self: ...
+    @property
+    def scheme(self) -> str: ...
+    @property
+    def username(self) -> str | None: ...
+    @property
+    def password(self) -> str | None: ...
+    @property
+    def host(self) -> str | None: ...
+    def unicode_host(self) -> str | None: ...
+    @property
+    def port(self) -> int | None: ...
+    @property
+    def path(self) -> str | None: ...
+    @property
+    def query(self) -> str | None: ...
+    def query_params(self) -> list[tuple[str, str]]: ...
+    @property
+    def fragment(self) -> str | None: ...
+    def unicode_string(self) -> str: ...
+    def __repr__(self) -> str: ...
+    def __str__(self) -> str: ...
+    def __deepcopy__(self, memo: dict) -> str: ...
+    @classmethod
+    def build(
+        cls,
+        *,
+        scheme: str,
+        username: str | None = None,
+        password: str | None = None,
+        host: str,
+        port: int | None = None,
+        path: str | None = None,
+        query: str | None = None,
+        fragment: str | None = None,
+    ) -> Self: ...
+
+class MultiHostUrl(SupportsAllComparisons):
+    """
+    A URL type with support for multiple hosts, as used by some databases for DSNs, e.g. `https://foo.com,bar.com/path`.
+
+    Internal URL logic uses the [url rust crate](https://docs.rs/url/latest/url/) originally developed
+    by Mozilla.
+    """
+
+    def __init__(self, url: str) -> None: ...
+    def __new__(cls, url: str) -> Self: ...
+    @property
+    def scheme(self) -> str: ...
+    @property
+    def path(self) -> str | None: ...
+    @property
+    def query(self) -> str | None: ...
+    def query_params(self) -> list[tuple[str, str]]: ...
+    @property
+    def fragment(self) -> str | None: ...
+    def hosts(self) -> list[MultiHostHost]: ...
+    def unicode_string(self) -> str: ...
+    def __repr__(self) -> str: ...
+    def __str__(self) -> str: ...
+    def __deepcopy__(self, memo: dict) -> Self: ...
+    @classmethod
+    def build(
+        cls,
+        *,
+        scheme: str,
+        hosts: list[MultiHostHost] | None = None,
+        username: str | None = None,
+        password: str | None = None,
+        host: str | None = None,
+        port: int | None = None,
+        path: str | None = None,
+        query: str | None = None,
+        fragment: str | None = None,
+    ) -> Self: ...
+
+@final
+class SchemaError(Exception):
+    """
+    Information about errors that occur while building a [`SchemaValidator`][pydantic_core.SchemaValidator]
+    or [`SchemaSerializer`][pydantic_core.SchemaSerializer].
+    """
+
+    def error_count(self) -> int:
+        """
+        Returns:
+            The number of errors in the schema.
+        """
+    def errors(self) -> list[ErrorDetails]:
+        """
+        Returns:
+            A list of [`ErrorDetails`][pydantic_core.ErrorDetails] for each error in the schema.
+        """
+
+class ValidationError(ValueError):
+    """
+    `ValidationError` is the exception raised by `pydantic-core` when validation fails, it contains a list of errors
+    which detail why validation failed.
+    """
+    @classmethod
+    def from_exception_data(
+        cls,
+        title: str,
+        line_errors: list[InitErrorDetails],
+        input_type: Literal['python', 'json'] = 'python',
+        hide_input: bool = False,
+    ) -> Self:
+        """
+        Python constructor for a Validation Error.
+
+        Arguments:
+            title: The title of the error, as used in the heading of `str(validation_error)`
+            line_errors: A list of [`InitErrorDetails`][pydantic_core.InitErrorDetails] which contain information
+                about errors that occurred during validation.
+            input_type: Whether the error is for a Python object or JSON.
+            hide_input: Whether to hide the input value in the error message.
+        """
+    @property
+    def title(self) -> str:
+        """
+        The title of the error, as used in the heading of `str(validation_error)`.
+        """
+    def error_count(self) -> int:
+        """
+        Returns:
+            The number of errors in the validation error.
+        """
+    def errors(
+        self, *, include_url: bool = True, include_context: bool = True, include_input: bool = True
+    ) -> list[ErrorDetails]:
+        """
+        Details about each error in the validation error.
+
+        Args:
+            include_url: Whether to include a URL to documentation on the error each error.
+            include_context: Whether to include the context of each error.
+            include_input: Whether to include the input value of each error.
+
+        Returns:
+            A list of [`ErrorDetails`][pydantic_core.ErrorDetails] for each error in the validation error.
+        """
+    def json(
+        self,
+        *,
+        indent: int | None = None,
+        include_url: bool = True,
+        include_context: bool = True,
+        include_input: bool = True,
+    ) -> str:
+        """
+        Same as [`errors()`][pydantic_core.ValidationError.errors] but returns a JSON string.
+
+        Args:
+            indent: The number of spaces to indent the JSON by, or `None` for no indentation - compact JSON.
+            include_url: Whether to include a URL to documentation on the error each error.
+            include_context: Whether to include the context of each error.
+            include_input: Whether to include the input value of each error.
+
+        Returns:
+            a JSON string.
+        """
+
+    def __repr__(self) -> str:
+        """
+        A string representation of the validation error.
+
+        Whether or not documentation URLs are included in the repr is controlled by the
+        environment variable `PYDANTIC_ERRORS_INCLUDE_URL` being set to `1` or
+        `true`; by default, URLs are shown.
+
+        Due to implementation details, this environment variable can only be set once,
+        before the first validation error is created.
+        """
+
+class PydanticCustomError(ValueError):
+    """A custom exception providing flexible error handling for Pydantic validators.
+
+    You can raise this error in custom validators when you'd like flexibility in regards to the error type, message, and context.
+
+    Example:
+        ```py
+        from pydantic_core import PydanticCustomError
+
+        def custom_validator(v) -> None:
+            if v <= 10:
+                raise PydanticCustomError('custom_value_error', 'Value must be greater than {value}', {'value': 10, 'extra_context': 'extra_data'})
+            return v
+        ```
+
+    Arguments:
+        error_type: The error type.
+        message_template: The message template.
+        context: The data to inject into the message template.
+    """
+
+    def __init__(
+        self, error_type: LiteralString, message_template: LiteralString, context: dict[str, Any] | None = None, /
+    ) -> None: ...
+    @property
+    def context(self) -> dict[str, Any] | None:
+        """Values which are required to render the error message, and could hence be useful in passing error data forward."""
+
+    @property
+    def type(self) -> str:
+        """The error type associated with the error. For consistency with Pydantic, this is typically a snake_case string."""
+
+    @property
+    def message_template(self) -> str:
+        """The message template associated with the error. This is a string that can be formatted with context variables in `{curly_braces}`."""
+
+    def message(self) -> str:
+        """The formatted message associated with the error. This presents as the message template with context variables appropriately injected."""
+
+@final
+class PydanticKnownError(ValueError):
+    """A helper class for raising exceptions that mimic Pydantic's built-in exceptions, with more flexibility in regards to context.
+
+    Unlike [`PydanticCustomError`][pydantic_core.PydanticCustomError], the `error_type` argument must be a known `ErrorType`.
+
+    Example:
+        ```py
+        from pydantic_core import PydanticKnownError
+
+        def custom_validator(v) -> None:
+            if v <= 10:
+                raise PydanticKnownError('greater_than', {'gt': 10})
+            return v
+        ```
+
+    Arguments:
+        error_type: The error type.
+        context: The data to inject into the message template.
+    """
+
+    def __init__(self, error_type: ErrorType, context: dict[str, Any] | None = None, /) -> None: ...
+    @property
+    def context(self) -> dict[str, Any] | None:
+        """Values which are required to render the error message, and could hence be useful in passing error data forward."""
+
+    @property
+    def type(self) -> ErrorType:
+        """The type of the error."""
+
+    @property
+    def message_template(self) -> str:
+        """The message template associated with the provided error type. This is a string that can be formatted with context variables in `{curly_braces}`."""
+
+    def message(self) -> str:
+        """The formatted message associated with the error. This presents as the message template with context variables appropriately injected."""
+
+@final
+class PydanticOmit(Exception):
+    """An exception to signal that a field should be omitted from a generated result.
+
+    This could span from omitting a field from a JSON Schema to omitting a field from a serialized result.
+    Upcoming: more robust support for using PydanticOmit in custom serializers is still in development.
+    Right now, this is primarily used in the JSON Schema generation process.
+
+    Example:
+        ```py
+        from typing import Callable
+
+        from pydantic_core import PydanticOmit
+
+        from pydantic import BaseModel
+        from pydantic.json_schema import GenerateJsonSchema, JsonSchemaValue
+
+
+        class MyGenerateJsonSchema(GenerateJsonSchema):
+            def handle_invalid_for_json_schema(self, schema, error_info) -> JsonSchemaValue:
+                raise PydanticOmit
+
+
+        class Predicate(BaseModel):
+            name: str = 'no-op'
+            func: Callable = lambda x: x
+
+
+        instance_example = Predicate()
+
+        validation_schema = instance_example.model_json_schema(schema_generator=MyGenerateJsonSchema, mode='validation')
+        print(validation_schema)
+        '''
+        {'properties': {'name': {'default': 'no-op', 'title': 'Name', 'type': 'string'}}, 'title': 'Predicate', 'type': 'object'}
+        '''
+        ```
+
+    For a more in depth example / explanation, see the [customizing JSON schema](../concepts/json_schema.md#customizing-the-json-schema-generation-process) docs.
+    """
+
+    def __new__(cls) -> Self: ...
+
+@final
+class PydanticUseDefault(Exception):
+    """An exception to signal that standard validation either failed or should be skipped, and the default value should be used instead.
+
+    This warning can be raised in custom validation functions to redirect the flow of validation.
+
+    Example:
+        ```py
+        from pydantic_core import PydanticUseDefault
+        from datetime import datetime
+        from pydantic import BaseModel, field_validator
+
+
+        class Event(BaseModel):
+            name: str = 'meeting'
+            time: datetime
+
+            @field_validator('name', mode='plain')
+            def name_must_be_present(cls, v) -> str:
+                if not v or not isinstance(v, str):
+                    raise PydanticUseDefault()
+                return v
+
+
+        event1 = Event(name='party', time=datetime(2024, 1, 1, 12, 0, 0))
+        print(repr(event1))
+        # > Event(name='party', time=datetime.datetime(2024, 1, 1, 12, 0))
+        event2 = Event(time=datetime(2024, 1, 1, 12, 0, 0))
+        print(repr(event2))
+        # > Event(name='meeting', time=datetime.datetime(2024, 1, 1, 12, 0))
+        ```
+
+    For an additional example, see the [validating partial json data](../concepts/json.md#partial-json-parsing) section of the Pydantic documentation.
+    """
+
+    def __new__(cls) -> Self: ...
+
+@final
+class PydanticSerializationError(ValueError):
+    """An error raised when an issue occurs during serialization.
+
+    In custom serializers, this error can be used to indicate that serialization has failed.
+
+    Arguments:
+        message: The message associated with the error.
+    """
+
+    def __init__(self, message: str, /) -> None: ...
+
+@final
+class PydanticSerializationUnexpectedValue(ValueError):
+    """An error raised when an unexpected value is encountered during serialization.
+
+    This error is often caught and coerced into a warning, as `pydantic-core` generally makes a best attempt
+    at serializing values, in contrast with validation where errors are eagerly raised.
+
+    Example:
+        ```py
+        from pydantic import BaseModel, field_serializer
+        from pydantic_core import PydanticSerializationUnexpectedValue
+
+        class BasicPoint(BaseModel):
+            x: int
+            y: int
+
+            @field_serializer('*')
+            def serialize(self, v):
+                if not isinstance(v, int):
+                    raise PydanticSerializationUnexpectedValue(f'Expected type `int`, got {type(v)} with value {v}')
+                return v
+
+        point = BasicPoint(x=1, y=2)
+        # some sort of mutation
+        point.x = 'a'
+
+        print(point.model_dump())
+        '''
+        UserWarning: Pydantic serializer warnings:
+        PydanticSerializationUnexpectedValue(Expected type `int`, got <class 'str'> with value a)
+        return self.__pydantic_serializer__.to_python(
+        {'x': 'a', 'y': 2}
+        '''
+        ```
+
+    This is often used internally in `pydantic-core` when unexpected types are encountered during serialization,
+    but it can also be used by users in custom serializers, as seen above.
+
+    Arguments:
+        message: The message associated with the unexpected value.
+    """
+
+    def __init__(self, message: str, /) -> None: ...
+
+@final
+class ArgsKwargs:
+    """A construct used to store arguments and keyword arguments for a function call.
+
+    This data structure is generally used to store information for core schemas associated with functions (like in an arguments schema).
+    This data structure is also currently used for some validation against dataclasses.
+
+    Example:
+        ```py
+        from pydantic.dataclasses import dataclass
+        from pydantic import model_validator
+
+
+        @dataclass
+        class Model:
+            a: int
+            b: int
+
+            @model_validator(mode="before")
+            @classmethod
+            def no_op_validator(cls, values):
+                print(values)
+                return values
+
+        Model(1, b=2)
+        #> ArgsKwargs((1,), {"b": 2})
+
+        Model(1, 2)
+        #> ArgsKwargs((1, 2), {})
+
+        Model(a=1, b=2)
+        #> ArgsKwargs((), {"a": 1, "b": 2})
+        ```
+    """
+
+    def __init__(self, args: tuple[Any, ...], kwargs: dict[str, Any] | None = None) -> None:
+        """Initializes the `ArgsKwargs`.
+
+        Arguments:
+            args: The arguments (inherently ordered) for a function call.
+            kwargs: The keyword arguments for a function call
+        """
+
+    def __new__(cls, args: tuple[Any, ...], kwargs: dict[str, Any] | None = None) -> Self: ...
+    @property
+    def args(self) -> tuple[Any, ...]:
+        """The arguments (inherently ordered) for a function call."""
+
+    @property
+    def kwargs(self) -> dict[str, Any] | None:
+        """The keyword arguments for a function call."""
+
+@final
+class PydanticUndefinedType:
+    """A type used as a sentinel for undefined values."""
+
+    def __copy__(self) -> Self: ...
+    def __deepcopy__(self, memo: Any) -> Self: ...
+
+PydanticUndefined: PydanticUndefinedType
+
+def list_all_errors() -> list[ErrorTypeInfo]:
+    """
+    Get information about all built-in errors.
+
+    Returns:
+        A list of `ErrorTypeInfo` typed dicts.
+    """
+@final
+class TzInfo(datetime.tzinfo):
+    """An `pydantic-core` implementation of the abstract [`datetime.tzinfo`][] class."""
+
+    def __init__(self, seconds: float = 0.0) -> None:
+        """Initializes the `TzInfo`.
+
+        Arguments:
+            seconds: The offset from UTC in seconds. Defaults to 0.0 (UTC).
+        """
+
+    def __new__(cls, seconds: float = 0.0) -> Self: ...
+
+    # Docstrings for attributes sourced from the abstract base class, [`datetime.tzinfo`](https://docs.python.org/3/library/datetime.html#datetime.tzinfo).
+
+    def tzname(self, dt: datetime.datetime | None) -> str | None:
+        """Return the time zone name corresponding to the [`datetime`][datetime.datetime] object _dt_, as a string.
+
+        For more info, see [`tzinfo.tzname`][datetime.tzinfo.tzname].
+        """
+
+    def utcoffset(self, dt: datetime.datetime | None) -> datetime.timedelta | None:
+        """Return offset of local time from UTC, as a [`timedelta`][datetime.timedelta] object that is positive east of UTC. If local time is west of UTC, this should be negative.
+
+        More info can be found at [`tzinfo.utcoffset`][datetime.tzinfo.utcoffset].
+        """
+
+    def dst(self, dt: datetime.datetime | None) -> datetime.timedelta | None:
+        """Return the daylight saving time (DST) adjustment, as a [`timedelta`][datetime.timedelta] object or `None` if DST information isn’t known.
+
+        More info can be found at[`tzinfo.dst`][datetime.tzinfo.dst]."""
+
+    def fromutc(self, dt: datetime.datetime) -> datetime.datetime:
+        """Adjust the date and time data associated datetime object _dt_, returning an equivalent datetime in self’s local time.
+
+        More info can be found at [`tzinfo.fromutc`][datetime.tzinfo.fromutc]."""
+
+    def __deepcopy__(self, _memo: dict[Any, Any]) -> TzInfo: ...

venv/lib/python3.12/site-packages/typing_extensions-4.15.0.dist-info/INSTALLER

@@ -0,0 +1 @@
+pip

venv/lib/python3.12/site-packages/typing_extensions-4.15.0.dist-info/METADATA

@@ -0,0 +1,72 @@
+Metadata-Version: 2.4
+Name: typing_extensions
+Version: 4.15.0
+Summary: Backported and Experimental Type Hints for Python 3.9+
+Keywords: annotations,backport,checker,checking,function,hinting,hints,type,typechecking,typehinting,typehints,typing
+Author-email: "Guido van Rossum, Jukka Lehtosalo, Łukasz Langa, Michael Lee" <levkivskyi@gmail.com>
+Requires-Python: >=3.9
+Description-Content-Type: text/markdown
+License-Expression: PSF-2.0
+Classifier: Development Status :: 5 - Production/Stable
+Classifier: Environment :: Console
+Classifier: Intended Audience :: Developers
+Classifier: Operating System :: OS Independent
+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: Programming Language :: Python :: 3.14
+Classifier: Topic :: Software Development
+License-File: LICENSE
+Project-URL: Bug Tracker, https://github.com/python/typing_extensions/issues
+Project-URL: Changes, https://github.com/python/typing_extensions/blob/main/CHANGELOG.md
+Project-URL: Documentation, https://typing-extensions.readthedocs.io/
+Project-URL: Home, https://github.com/python/typing_extensions
+Project-URL: Q & A, https://github.com/python/typing/discussions
+Project-URL: Repository, https://github.com/python/typing_extensions
+
+# Typing Extensions
+
+[![Chat at https://gitter.im/python/typing](https://badges.gitter.im/python/typing.svg)](https://gitter.im/python/typing)
+
+[Documentation](https://typing-extensions.readthedocs.io/en/latest/#) –
+[PyPI](https://pypi.org/project/typing-extensions/)
+
+## Overview
+
+The `typing_extensions` module serves two related purposes:
+
+- Enable use of new type system features on older Python versions. For example,
+  `typing.TypeGuard` is new in Python 3.10, but `typing_extensions` allows
+  users on previous Python versions to use it too.
+- Enable experimentation with new type system PEPs before they are accepted and
+  added to the `typing` module.
+
+`typing_extensions` is treated specially by static type checkers such as
+mypy and pyright. Objects defined in `typing_extensions` are treated the same
+way as equivalent forms in `typing`.
+
+`typing_extensions` uses
+[Semantic Versioning](https://semver.org/). The
+major version will be incremented only for backwards-incompatible changes.
+Therefore, it's safe to depend
+on `typing_extensions` like this: `typing_extensions ~=x.y`,
+where `x.y` is the first version that includes all features you need.
+[This](https://packaging.python.org/en/latest/specifications/version-specifiers/#compatible-release)
+is equivalent to `typing_extensions >=x.y, <(x+1)`. Do not depend on `~= x.y.z`
+unless you really know what you're doing; that defeats the purpose of
+semantic versioning.
+
+## Included items
+
+See [the documentation](https://typing-extensions.readthedocs.io/en/latest/#) for a
+complete listing of module contents.
+
+## Contributing
+
+See [CONTRIBUTING.md](https://github.com/python/typing_extensions/blob/main/CONTRIBUTING.md)
+for how to contribute to `typing_extensions`.
+

venv/lib/python3.12/site-packages/typing_extensions-4.15.0.dist-info/RECORD

@@ -0,0 +1,7 @@
+__pycache__/typing_extensions.cpython-312.pyc,,
+typing_extensions-4.15.0.dist-info/INSTALLER,sha256=zuuue4knoyJ-UwPPXg8fezS7VCrXJQrAP7zeNuwvFQg,4
+typing_extensions-4.15.0.dist-info/METADATA,sha256=wTg3j-jxiTSsmd4GBTXFPsbBOu7WXpTDJkHafuMZKnI,3259
+typing_extensions-4.15.0.dist-info/RECORD,,
+typing_extensions-4.15.0.dist-info/WHEEL,sha256=G2gURzTEtmeR8nrdXUJfNiB3VYVxigPQ-bEQujpNiNs,82
+typing_extensions-4.15.0.dist-info/licenses/LICENSE,sha256=Oy-B_iHRgcSZxZolbI4ZaEVdZonSaaqFNzv7avQdo78,13936
+typing_extensions.py,sha256=Qz0R0XDTok0usGXrwb_oSM6n49fOaFZ6tSvqLUwvftg,160429

venv/lib/python3.12/site-packages/typing_extensions-4.15.0.dist-info/WHEEL

@@ -0,0 +1,4 @@
+Wheel-Version: 1.0
+Generator: flit 3.12.0
+Root-Is-Purelib: true
+Tag: py3-none-any

venv/lib/python3.12/site-packages/typing_inspection/introspection.py

@@ -0,0 +1,587 @@
+"""High-level introspection utilities, used to inspect type annotations."""
+
+from __future__ import annotations
+
+import sys
+import types
+from collections.abc import Generator
+from dataclasses import InitVar
+from enum import Enum, IntEnum, auto
+from typing import Any, Literal, NamedTuple, cast
+
+from typing_extensions import TypeAlias, assert_never, get_args, get_origin
+
+from . import typing_objects
+
+__all__ = (
+    'AnnotationSource',
+    'ForbiddenQualifier',
+    'InspectedAnnotation',
+    'Qualifier',
+    'get_literal_values',
+    'inspect_annotation',
+    'is_union_origin',
+)
+
+if sys.version_info >= (3, 14) or sys.version_info < (3, 10):
+
+    def is_union_origin(obj: Any, /) -> bool:
+        """Return whether the provided origin is the union form.
+
+        ```pycon
+        >>> is_union_origin(typing.Union)
+        True
+        >>> is_union_origin(get_origin(int | str))
+        True
+        >>> is_union_origin(types.UnionType)
+        True
+        ```
+
+        !!! note
+            Since Python 3.14, both `Union[<t1>, <t2>, ...]` and `<t1> | <t2> | ...` forms create instances
+            of the same [`typing.Union`][] class. As such, it is recommended to not use this function
+            anymore (provided that you only support Python 3.14 or greater), and instead use the
+            [`typing_objects.is_union()`][typing_inspection.typing_objects.is_union] function directly:
+
+            ```python
+            from typing import Union, get_origin
+
+            from typing_inspection import typing_objects
+
+            typ = int | str  # Or Union[int, str]
+            origin = get_origin(typ)
+            if typing_objects.is_union(origin):
+                ...
+            ```
+        """
+        return typing_objects.is_union(obj)
+
+
+else:
+
+    def is_union_origin(obj: Any, /) -> bool:
+        """Return whether the provided origin is the union form.
+
+        ```pycon
+        >>> is_union_origin(typing.Union)
+        True
+        >>> is_union_origin(get_origin(int | str))
+        True
+        >>> is_union_origin(types.UnionType)
+        True
+        ```
+
+        !!! note
+            Since Python 3.14, both `Union[<t1>, <t2>, ...]` and `<t1> | <t2> | ...` forms create instances
+            of the same [`typing.Union`][] class. As such, it is recommended to not use this function
+            anymore (provided that you only support Python 3.14 or greater), and instead use the
+            [`typing_objects.is_union()`][typing_inspection.typing_objects.is_union] function directly:
+
+            ```python
+            from typing import Union, get_origin
+
+            from typing_inspection import typing_objects
+
+            typ = int | str  # Or Union[int, str]
+            origin = get_origin(typ)
+            if typing_objects.is_union(origin):
+                ...
+            ```
+        """
+        return typing_objects.is_union(obj) or obj is types.UnionType
+
+
+def _literal_type_check(value: Any, /) -> None:
+    """Type check the provided literal value against the legal parameters."""
+    if (
+        not isinstance(value, (int, bytes, str, bool, Enum, typing_objects.NoneType))
+        and value is not typing_objects.NoneType
+    ):
+        raise TypeError(f'{value} is not a valid literal value, must be one of: int, bytes, str, Enum, None.')
+
+
+def get_literal_values(
+    annotation: Any,
+    /,
+    *,
+    type_check: bool = False,
+    unpack_type_aliases: Literal['skip', 'lenient', 'eager'] = 'eager',
+) -> Generator[Any]:
+    """Yield the values contained in the provided [`Literal`][typing.Literal] [special form][].
+
+    Args:
+        annotation: The [`Literal`][typing.Literal] [special form][] to unpack.
+        type_check: Whether to check if the literal values are [legal parameters][literal-legal-parameters].
+            Raises a [`TypeError`][] otherwise.
+        unpack_type_aliases: What to do when encountering [PEP 695](https://peps.python.org/pep-0695/)
+            [type aliases][type-aliases]. Can be one of:
+
+            - `'skip'`: Do not try to parse type aliases. Note that this can lead to incorrect results:
+              ```pycon
+              >>> type MyAlias = Literal[1, 2]
+              >>> list(get_literal_values(Literal[MyAlias, 3], unpack_type_aliases="skip"))
+              [MyAlias, 3]
+              ```
+
+            - `'lenient'`: Try to parse type aliases, and fallback to `'skip'` if the type alias can't be inspected
+              (because of an undefined forward reference).
+
+            - `'eager'`: Parse type aliases and raise any encountered [`NameError`][] exceptions (the default):
+              ```pycon
+              >>> type MyAlias = Literal[1, 2]
+              >>> list(get_literal_values(Literal[MyAlias, 3], unpack_type_aliases="eager"))
+              [1, 2, 3]
+              ```
+
+    Note:
+        While `None` is [equivalent to][none] `type(None)`, the runtime implementation of [`Literal`][typing.Literal]
+        does not de-duplicate them. This function makes sure this de-duplication is applied:
+
+        ```pycon
+        >>> list(get_literal_values(Literal[NoneType, None]))
+        [None]
+        ```
+
+    Example:
+        ```pycon
+        >>> type Ints = Literal[1, 2]
+        >>> list(get_literal_values(Literal[1, Ints], unpack_type_alias="skip"))
+        ["a", Ints]
+        >>> list(get_literal_values(Literal[1, Ints]))
+        [1, 2]
+        >>> list(get_literal_values(Literal[1.0], type_check=True))
+        Traceback (most recent call last):
+        ...
+        TypeError: 1.0 is not a valid literal value, must be one of: int, bytes, str, Enum, None.
+        ```
+    """
+    # `literal` is guaranteed to be a `Literal[...]` special form, so use
+    # `__args__` directly instead of calling `get_args()`.
+
+    if unpack_type_aliases == 'skip':
+        _has_none = False
+        # `Literal` parameters are already deduplicated, no need to do it ourselves.
+        # (we only check for `None` and `NoneType`, which should be considered as duplicates).
+        for arg in annotation.__args__:
+            if type_check:
+                _literal_type_check(arg)
+            if arg is None or arg is typing_objects.NoneType:
+                if not _has_none:
+                    yield None
+                _has_none = True
+            else:
+                yield arg
+    else:
+        # We'll need to manually deduplicate parameters, see the `Literal` implementation in `typing`.
+        values_and_type: list[tuple[Any, type[Any]]] = []
+
+        for arg in annotation.__args__:
+            # Note: we could also check for generic aliases with a type alias as an origin.
+            # However, it is very unlikely that this happens as type variables can't appear in
+            # `Literal` forms, so the only valid (but unnecessary) use case would be something like:
+            # `type Test[T] = Literal['a']` (and then use `Test[SomeType]`).
+            if typing_objects.is_typealiastype(arg):
+                try:
+                    alias_value = arg.__value__
+                except NameError:
+                    if unpack_type_aliases == 'eager':
+                        raise
+                    # unpack_type_aliases == "lenient":
+                    if type_check:
+                        _literal_type_check(arg)
+                    values_and_type.append((arg, type(arg)))
+                else:
+                    sub_args = get_literal_values(
+                        alias_value, type_check=type_check, unpack_type_aliases=unpack_type_aliases
+                    )
+                    values_and_type.extend((a, type(a)) for a in sub_args)  # pyright: ignore[reportUnknownArgumentType]
+            else:
+                if type_check:
+                    _literal_type_check(arg)
+                if arg is typing_objects.NoneType:
+                    values_and_type.append((None, typing_objects.NoneType))
+                else:
+                    values_and_type.append((arg, type(arg)))  # pyright: ignore[reportUnknownArgumentType]
+
+        try:
+            dct = dict.fromkeys(values_and_type)
+        except TypeError:
+            # Unhashable parameters, the Python implementation allows them
+            yield from (p for p, _ in values_and_type)
+        else:
+            yield from (p for p, _ in dct)
+
+
+Qualifier: TypeAlias = Literal['required', 'not_required', 'read_only', 'class_var', 'init_var', 'final']
+"""A [type qualifier][]."""
+
+_all_qualifiers: set[Qualifier] = set(get_args(Qualifier))
+
+
+# TODO at some point, we could switch to an enum flag, so that multiple sources
+# can be combined. However, is there a need for this?
+class AnnotationSource(IntEnum):
+    # TODO if/when https://peps.python.org/pep-0767/ is accepted, add 'read_only'
+    # to CLASS and NAMED_TUPLE (even though for named tuples it is redundant).
+
+    """The source of an annotation, e.g. a class or a function.
+
+    Depending on the source, different [type qualifiers][type qualifier] may be (dis)allowed.
+    """
+
+    ASSIGNMENT_OR_VARIABLE = auto()
+    """An annotation used in an assignment or variable annotation:
+
+    ```python
+    x: Final[int] = 1
+    y: Final[str]
+    ```
+
+    **Allowed type qualifiers:** [`Final`][typing.Final].
+    """
+
+    CLASS = auto()
+    """An annotation used in the body of a class:
+
+    ```python
+    class Test:
+        x: Final[int] = 1
+        y: ClassVar[str]
+    ```
+
+    **Allowed type qualifiers:** [`ClassVar`][typing.ClassVar], [`Final`][typing.Final].
+    """
+
+    DATACLASS = auto()
+    """An annotation used in the body of a dataclass:
+
+    ```python
+    @dataclass
+    class Test:
+        x: Final[int] = 1
+        y: InitVar[str] = 'test'
+    ```
+
+    **Allowed type qualifiers:** [`ClassVar`][typing.ClassVar], [`Final`][typing.Final], [`InitVar`][dataclasses.InitVar].
+    """  # noqa: E501
+
+    TYPED_DICT = auto()
+    """An annotation used in the body of a [`TypedDict`][typing.TypedDict]:
+
+    ```python
+    class TD(TypedDict):
+        x: Required[ReadOnly[int]]
+        y: ReadOnly[NotRequired[str]]
+    ```
+
+    **Allowed type qualifiers:** [`ReadOnly`][typing.ReadOnly], [`Required`][typing.Required],
+    [`NotRequired`][typing.NotRequired].
+    """
+
+    NAMED_TUPLE = auto()
+    """An annotation used in the body of a [`NamedTuple`][typing.NamedTuple].
+
+    ```python
+    class NT(NamedTuple):
+        x: int
+        y: str
+    ```
+
+    **Allowed type qualifiers:** none.
+    """
+
+    FUNCTION = auto()
+    """An annotation used in a function, either for a parameter or the return value.
+
+    ```python
+    def func(a: int) -> str:
+        ...
+    ```
+
+    **Allowed type qualifiers:** none.
+    """
+
+    ANY = auto()
+    """An annotation that might come from any source.
+
+    **Allowed type qualifiers:** all.
+    """
+
+    BARE = auto()
+    """An annotation that is inspected as is.
+
+    **Allowed type qualifiers:** none.
+    """
+
+    @property
+    def allowed_qualifiers(self) -> set[Qualifier]:
+        """The allowed [type qualifiers][type qualifier] for this annotation source."""
+        # TODO use a match statement when Python 3.9 support is dropped.
+        if self is AnnotationSource.ASSIGNMENT_OR_VARIABLE:
+            return {'final'}
+        elif self is AnnotationSource.CLASS:
+            return {'final', 'class_var'}
+        elif self is AnnotationSource.DATACLASS:
+            return {'final', 'class_var', 'init_var'}
+        elif self is AnnotationSource.TYPED_DICT:
+            return {'required', 'not_required', 'read_only'}
+        elif self in (AnnotationSource.NAMED_TUPLE, AnnotationSource.FUNCTION, AnnotationSource.BARE):
+            return set()
+        elif self is AnnotationSource.ANY:
+            return _all_qualifiers
+        else:  # pragma: no cover
+            assert_never(self)
+
+
+class ForbiddenQualifier(Exception):
+    """The provided [type qualifier][] is forbidden."""
+
+    qualifier: Qualifier
+    """The forbidden qualifier."""
+
+    def __init__(self, qualifier: Qualifier, /) -> None:
+        self.qualifier = qualifier
+
+
+class _UnknownTypeEnum(Enum):
+    UNKNOWN = auto()
+
+    def __str__(self) -> str:
+        return 'UNKNOWN'
+
+    def __repr__(self) -> str:
+        return '<UNKNOWN>'
+
+
+UNKNOWN = _UnknownTypeEnum.UNKNOWN
+"""A sentinel value used when no [type expression][] is present."""
+
+_UnkownType: TypeAlias = Literal[_UnknownTypeEnum.UNKNOWN]
+"""The type of the [`UNKNOWN`][typing_inspection.introspection.UNKNOWN] sentinel value."""
+
+
+class InspectedAnnotation(NamedTuple):
+    """The result of the inspected annotation."""
+
+    type: Any | _UnkownType
+    """The final [type expression][], with [type qualifiers][type qualifier] and annotated metadata stripped.
+
+    If no type expression is available, the [`UNKNOWN`][typing_inspection.introspection.UNKNOWN] sentinel
+    value is used instead. This is the case when a [type qualifier][] is used with no type annotation:
+
+    ```python
+    ID: Final = 1
+
+    class C:
+        x: ClassVar = 'test'
+    ```
+    """
+
+    qualifiers: set[Qualifier]
+    """The [type qualifiers][type qualifier] present on the annotation."""
+
+    metadata: list[Any]
+    """The annotated metadata."""
+
+
+def inspect_annotation(  # noqa: PLR0915
+    annotation: Any,
+    /,
+    *,
+    annotation_source: AnnotationSource,
+    unpack_type_aliases: Literal['skip', 'lenient', 'eager'] = 'skip',
+) -> InspectedAnnotation:
+    """Inspect an [annotation expression][], extracting any [type qualifier][] and metadata.
+
+    An [annotation expression][] is a [type expression][] optionally surrounded by one or more
+    [type qualifiers][type qualifier] or by [`Annotated`][typing.Annotated]. This function will:
+
+    - Unwrap the type expression, keeping track of the type qualifiers.
+    - Unwrap [`Annotated`][typing.Annotated] forms, keeping track of the annotated metadata.
+
+    Args:
+        annotation: The annotation expression to be inspected.
+        annotation_source: The source of the annotation. Depending on the source (e.g. a class), different type
+            qualifiers may be (dis)allowed. To allow any type qualifier, use
+            [`AnnotationSource.ANY`][typing_inspection.introspection.AnnotationSource.ANY].
+        unpack_type_aliases: What to do when encountering [PEP 695](https://peps.python.org/pep-0695/)
+            [type aliases][type-aliases]. Can be one of:
+
+            - `'skip'`: Do not try to parse type aliases (the default):
+              ```pycon
+              >>> type MyInt = Annotated[int, 'meta']
+              >>> inspect_annotation(MyInt, annotation_source=AnnotationSource.BARE, unpack_type_aliases='skip')
+              InspectedAnnotation(type=MyInt, qualifiers={}, metadata=[])
+              ```
+
+            - `'lenient'`: Try to parse type aliases, and fallback to `'skip'` if the type alias
+              can't be inspected (because of an undefined forward reference):
+              ```pycon
+              >>> type MyInt = Annotated[Undefined, 'meta']
+              >>> inspect_annotation(MyInt, annotation_source=AnnotationSource.BARE, unpack_type_aliases='lenient')
+              InspectedAnnotation(type=MyInt, qualifiers={}, metadata=[])
+              >>> Undefined = int
+              >>> inspect_annotation(MyInt, annotation_source=AnnotationSource.BARE, unpack_type_aliases='lenient')
+              InspectedAnnotation(type=int, qualifiers={}, metadata=['meta'])
+              ```
+
+            - `'eager'`: Parse type aliases and raise any encountered [`NameError`][] exceptions.
+
+    Returns:
+        The result of the inspected annotation, where the type expression, used qualifiers and metadata is stored.
+
+    Example:
+        ```pycon
+        >>> inspect_annotation(
+        ...     Final[Annotated[ClassVar[Annotated[int, 'meta_1']], 'meta_2']],
+        ...     annotation_source=AnnotationSource.CLASS,
+        ... )
+        ...
+        InspectedAnnotation(type=int, qualifiers={'class_var', 'final'}, metadata=['meta_1', 'meta_2'])
+        ```
+    """
+    allowed_qualifiers = annotation_source.allowed_qualifiers
+    qualifiers: set[Qualifier] = set()
+    metadata: list[Any] = []
+
+    while True:
+        annotation, _meta = _unpack_annotated(annotation, unpack_type_aliases=unpack_type_aliases)
+        if _meta:
+            metadata = _meta + metadata
+            continue
+
+        origin = get_origin(annotation)
+        if origin is not None:
+            if typing_objects.is_classvar(origin):
+                if 'class_var' not in allowed_qualifiers:
+                    raise ForbiddenQualifier('class_var')
+                qualifiers.add('class_var')
+                annotation = annotation.__args__[0]
+            elif typing_objects.is_final(origin):
+                if 'final' not in allowed_qualifiers:
+                    raise ForbiddenQualifier('final')
+                qualifiers.add('final')
+                annotation = annotation.__args__[0]
+            elif typing_objects.is_required(origin):
+                if 'required' not in allowed_qualifiers:
+                    raise ForbiddenQualifier('required')
+                qualifiers.add('required')
+                annotation = annotation.__args__[0]
+            elif typing_objects.is_notrequired(origin):
+                if 'not_required' not in allowed_qualifiers:
+                    raise ForbiddenQualifier('not_required')
+                qualifiers.add('not_required')
+                annotation = annotation.__args__[0]
+            elif typing_objects.is_readonly(origin):
+                if 'read_only' not in allowed_qualifiers:
+                    raise ForbiddenQualifier('not_required')
+                qualifiers.add('read_only')
+                annotation = annotation.__args__[0]
+            else:
+                # origin is not None but not a type qualifier nor `Annotated` (e.g. `list[int]`):
+                break
+        elif isinstance(annotation, InitVar):
+            if 'init_var' not in allowed_qualifiers:
+                raise ForbiddenQualifier('init_var')
+            qualifiers.add('init_var')
+            annotation = cast(Any, annotation.type)
+        else:
+            break
+
+    # `Final`, `ClassVar` and `InitVar` are type qualifiers allowed to be used as a bare annotation:
+    if typing_objects.is_final(annotation):
+        if 'final' not in allowed_qualifiers:
+            raise ForbiddenQualifier('final')
+        qualifiers.add('final')
+        annotation = UNKNOWN
+    elif typing_objects.is_classvar(annotation):
+        if 'class_var' not in allowed_qualifiers:
+            raise ForbiddenQualifier('class_var')
+        qualifiers.add('class_var')
+        annotation = UNKNOWN
+    elif annotation is InitVar:
+        if 'init_var' not in allowed_qualifiers:
+            raise ForbiddenQualifier('init_var')
+        qualifiers.add('init_var')
+        annotation = UNKNOWN
+
+    return InspectedAnnotation(annotation, qualifiers, metadata)
+
+
+def _unpack_annotated_inner(
+    annotation: Any, unpack_type_aliases: Literal['lenient', 'eager'], check_annotated: bool
+) -> tuple[Any, list[Any]]:
+    origin = get_origin(annotation)
+    if check_annotated and typing_objects.is_annotated(origin):
+        annotated_type = annotation.__origin__
+        metadata = list(annotation.__metadata__)
+
+        # The annotated type might be a PEP 695 type alias, so we need to recursively
+        # unpack it. Because Python already flattens `Annotated[Annotated[<type>, ...], ...]` forms,
+        # we can skip the `is_annotated()` check in the next call:
+        annotated_type, sub_meta = _unpack_annotated_inner(
+            annotated_type, unpack_type_aliases=unpack_type_aliases, check_annotated=False
+        )
+        metadata = sub_meta + metadata
+        return annotated_type, metadata
+    elif typing_objects.is_typealiastype(annotation):
+        try:
+            value = annotation.__value__
+        except NameError:
+            if unpack_type_aliases == 'eager':
+                raise
+        else:
+            typ, metadata = _unpack_annotated_inner(
+                value, unpack_type_aliases=unpack_type_aliases, check_annotated=True
+            )
+            if metadata:
+                # Having metadata means the type alias' `__value__` was an `Annotated` form
+                # (or, recursively, a type alias to an `Annotated` form). It is important to check
+                # for this, as we don't want to unpack other type aliases (e.g. `type MyInt = int`).
+                return typ, metadata
+            return annotation, []
+    elif typing_objects.is_typealiastype(origin):
+        # When parameterized, PEP 695 type aliases become generic aliases
+        # (e.g. with `type MyList[T] = Annotated[list[T], ...]`, `MyList[int]`
+        # is a generic alias).
+        try:
+            value = origin.__value__
+        except NameError:
+            if unpack_type_aliases == 'eager':
+                raise
+        else:
+            # While Python already handles type variable replacement for simple `Annotated` forms,
+            # we need to manually apply the same logic for PEP 695 type aliases:
+            # - With `MyList = Annotated[list[T], ...]`, `MyList[int] == Annotated[list[int], ...]`
+            # - With `type MyList[T] = Annotated[list[T], ...]`, `MyList[int].__value__ == Annotated[list[T], ...]`.
+
+            try:
+                # To do so, we emulate the parameterization of the value with the arguments:
+                # with `type MyList[T] = Annotated[list[T], ...]`, to emulate `MyList[int]`,
+                # we do `Annotated[list[T], ...][int]` (which gives `Annotated[list[T], ...]`):
+                value = value[annotation.__args__]
+            except TypeError:
+                # Might happen if the type alias is parameterized, but its value doesn't have any
+                # type variables, e.g. `type MyInt[T] = int`.
+                pass
+            typ, metadata = _unpack_annotated_inner(
+                value, unpack_type_aliases=unpack_type_aliases, check_annotated=True
+            )
+            if metadata:
+                return typ, metadata
+            return annotation, []
+
+    return annotation, []
+
+
+# This could eventually be made public:
+def _unpack_annotated(
+    annotation: Any, /, *, unpack_type_aliases: Literal['skip', 'lenient', 'eager'] = 'eager'
+) -> tuple[Any, list[Any]]:
+    if unpack_type_aliases == 'skip':
+        if typing_objects.is_annotated(get_origin(annotation)):
+            return annotation.__origin__, list(annotation.__metadata__)
+        else:
+            return annotation, []
+
+    return _unpack_annotated_inner(annotation, unpack_type_aliases=unpack_type_aliases, check_annotated=True)

venv/lib/python3.12/site-packages/typing_inspection/typing_objects.py

@@ -0,0 +1,607 @@
+"""Low-level introspection utilities for [`typing`][] members.
+
+The provided functions in this module check against both the [`typing`][] and [`typing_extensions`][]
+variants, if they exists and are different.
+"""
+# ruff: noqa: UP006
+
+import collections.abc
+import contextlib
+import re
+import sys
+import typing
+import warnings
+from textwrap import dedent
+from types import FunctionType, GenericAlias
+from typing import Any, Final
+
+import typing_extensions
+from typing_extensions import LiteralString, TypeAliasType, TypeIs, deprecated
+
+__all__ = (
+    'DEPRECATED_ALIASES',
+    'NoneType',
+    'is_annotated',
+    'is_any',
+    'is_classvar',
+    'is_concatenate',
+    'is_deprecated',
+    'is_final',
+    'is_forwardref',
+    'is_generic',
+    'is_literal',
+    'is_literalstring',
+    'is_namedtuple',
+    'is_never',
+    'is_newtype',
+    'is_nodefault',
+    'is_noextraitems',
+    'is_noreturn',
+    'is_notrequired',
+    'is_paramspec',
+    'is_paramspecargs',
+    'is_paramspeckwargs',
+    'is_readonly',
+    'is_required',
+    'is_self',
+    'is_typealias',
+    'is_typealiastype',
+    'is_typeguard',
+    'is_typeis',
+    'is_typevar',
+    'is_typevartuple',
+    'is_union',
+    'is_unpack',
+)
+
+_IS_PY310 = sys.version_info[:2] == (3, 10)
+
+
+def _compile_identity_check_function(member: LiteralString, function_name: LiteralString) -> FunctionType:
+    """Create a function checking that the function argument is the (unparameterized) typing `member`.
+
+    The function will make sure to check against both the `typing` and `typing_extensions`
+    variants as depending on the Python version, the `typing_extensions` variant might be different.
+    For instance, on Python 3.9:
+
+    ```pycon
+    >>> from typing import Literal as t_Literal
+    >>> from typing_extensions import Literal as te_Literal, get_origin
+
+    >>> t_Literal is te_Literal
+    False
+    >>> get_origin(t_Literal[1])
+    typing.Literal
+    >>> get_origin(te_Literal[1])
+    typing_extensions.Literal
+    ```
+    """
+    in_typing = hasattr(typing, member)
+    in_typing_extensions = hasattr(typing_extensions, member)
+
+    if in_typing and in_typing_extensions:
+        if getattr(typing, member) is getattr(typing_extensions, member):
+            check_code = f'obj is typing.{member}'
+        else:
+            check_code = f'obj is typing.{member} or obj is typing_extensions.{member}'
+    elif in_typing and not in_typing_extensions:
+        check_code = f'obj is typing.{member}'
+    elif not in_typing and in_typing_extensions:
+        check_code = f'obj is typing_extensions.{member}'
+    else:
+        check_code = 'False'
+
+    func_code = dedent(f"""
+    def {function_name}(obj: Any, /) -> bool:
+        return {check_code}
+    """)
+
+    locals_: dict[str, Any] = {}
+    globals_: dict[str, Any] = {'Any': Any, 'typing': typing, 'typing_extensions': typing_extensions}
+    exec(func_code, globals_, locals_)
+    return locals_[function_name]
+
+
+def _compile_isinstance_check_function(member: LiteralString, function_name: LiteralString) -> FunctionType:
+    """Create a function checking that the function is an instance of the typing `member`.
+
+    The function will make sure to check against both the `typing` and `typing_extensions`
+    variants as depending on the Python version, the `typing_extensions` variant might be different.
+    """
+    in_typing = hasattr(typing, member)
+    in_typing_extensions = hasattr(typing_extensions, member)
+
+    if in_typing and in_typing_extensions:
+        if getattr(typing, member) is getattr(typing_extensions, member):
+            check_code = f'isinstance(obj, typing.{member})'
+        else:
+            check_code = f'isinstance(obj, (typing.{member}, typing_extensions.{member}))'
+    elif in_typing and not in_typing_extensions:
+        check_code = f'isinstance(obj, typing.{member})'
+    elif not in_typing and in_typing_extensions:
+        check_code = f'isinstance(obj, typing_extensions.{member})'
+    else:
+        check_code = 'False'
+
+    func_code = dedent(f"""
+    def {function_name}(obj: Any, /) -> 'TypeIs[{member}]':
+        return {check_code}
+    """)
+
+    locals_: dict[str, Any] = {}
+    globals_: dict[str, Any] = {'Any': Any, 'typing': typing, 'typing_extensions': typing_extensions}
+    exec(func_code, globals_, locals_)
+    return locals_[function_name]
+
+
+if sys.version_info >= (3, 10):
+    from types import NoneType
+else:
+    NoneType = type(None)
+
+# Keep this ordered, as per `typing.__all__`:
+
+is_annotated = _compile_identity_check_function('Annotated', 'is_annotated')
+is_annotated.__doc__ = """
+Return whether the argument is the [`Annotated`][typing.Annotated] [special form][].
+
+```pycon
+>>> is_annotated(Annotated)
+True
+>>> is_annotated(Annotated[int, ...])
+False
+```
+"""
+
+is_any = _compile_identity_check_function('Any', 'is_any')
+is_any.__doc__ = """
+Return whether the argument is the [`Any`][typing.Any] [special form][].
+
+```pycon
+>>> is_any(Any)
+True
+```
+"""
+
+is_classvar = _compile_identity_check_function('ClassVar', 'is_classvar')
+is_classvar.__doc__ = """
+Return whether the argument is the [`ClassVar`][typing.ClassVar] [type qualifier][].
+
+```pycon
+>>> is_classvar(ClassVar)
+True
+>>> is_classvar(ClassVar[int])
+>>> False
+```
+"""
+
+is_concatenate = _compile_identity_check_function('Concatenate', 'is_concatenate')
+is_concatenate.__doc__ = """
+Return whether the argument is the [`Concatenate`][typing.Concatenate] [special form][].
+
+```pycon
+>>> is_concatenate(Concatenate)
+True
+>>> is_concatenate(Concatenate[int, P])
+False
+```
+"""
+
+is_final = _compile_identity_check_function('Final', 'is_final')
+is_final.__doc__ = """
+Return whether the argument is the [`Final`][typing.Final] [type qualifier][].
+
+```pycon
+>>> is_final(Final)
+True
+>>> is_final(Final[int])
+False
+```
+"""
+
+
+# Unlikely to have a different version in `typing-extensions`, but keep it consistent.
+# Also note that starting in 3.14, this is an alias to `annotationlib.ForwardRef`, but
+# accessing it from `typing` doesn't seem to be deprecated.
+is_forwardref = _compile_isinstance_check_function('ForwardRef', 'is_forwardref')
+is_forwardref.__doc__ = """
+Return whether the argument is an instance of [`ForwardRef`][typing.ForwardRef].
+
+```pycon
+>>> is_forwardref(ForwardRef('T'))
+True
+```
+"""
+
+
+is_generic = _compile_identity_check_function('Generic', 'is_generic')
+is_generic.__doc__ = """
+Return whether the argument is the [`Generic`][typing.Generic] [special form][].
+
+```pycon
+>>> is_generic(Generic)
+True
+>>> is_generic(Generic[T])
+False
+```
+"""
+
+is_literal = _compile_identity_check_function('Literal', 'is_literal')
+is_literal.__doc__ = """
+Return whether the argument is the [`Literal`][typing.Literal] [special form][].
+
+```pycon
+>>> is_literal(Literal)
+True
+>>> is_literal(Literal["a"])
+False
+```
+"""
+
+
+# `get_origin(Optional[int]) is Union`, so `is_optional()` isn't implemented.
+
+is_paramspec = _compile_isinstance_check_function('ParamSpec', 'is_paramspec')
+is_paramspec.__doc__ = """
+Return whether the argument is an instance of [`ParamSpec`][typing.ParamSpec].
+
+```pycon
+>>> P = ParamSpec('P')
+>>> is_paramspec(P)
+True
+```
+"""
+
+# Protocol?
+
+is_typevar = _compile_isinstance_check_function('TypeVar', 'is_typevar')
+is_typevar.__doc__ = """
+Return whether the argument is an instance of [`TypeVar`][typing.TypeVar].
+
+```pycon
+>>> T = TypeVar('T')
+>>> is_typevar(T)
+True
+```
+"""
+
+is_typevartuple = _compile_isinstance_check_function('TypeVarTuple', 'is_typevartuple')
+is_typevartuple.__doc__ = """
+Return whether the argument is an instance of [`TypeVarTuple`][typing.TypeVarTuple].
+
+```pycon
+>>> Ts = TypeVarTuple('Ts')
+>>> is_typevartuple(Ts)
+True
+```
+"""
+
+is_union = _compile_identity_check_function('Union', 'is_union')
+is_union.__doc__ = """
+Return whether the argument is the [`Union`][typing.Union] [special form][].
+
+This function can also be used to check for the [`Optional`][typing.Optional] [special form][],
+as at runtime, `Optional[int]` is equivalent to `Union[int, None]`.
+
+```pycon
+>>> is_union(Union)
+True
+>>> is_union(Union[int, str])
+False
+```
+
+!!! warning
+    This does not check for unions using the [new syntax][types-union] (e.g. `int | str`).
+"""
+
+
+def is_namedtuple(obj: Any, /) -> bool:
+    """Return whether the argument is a named tuple type.
+
+    This includes [`NamedTuple`][typing.NamedTuple] subclasses and classes created from the
+    [`collections.namedtuple`][] factory function.
+
+    ```pycon
+    >>> class User(NamedTuple):
+    ...     name: str
+    ...
+    >>> is_namedtuple(User)
+    True
+    >>> City = collections.namedtuple('City', [])
+    >>> is_namedtuple(City)
+    True
+    >>> is_namedtuple(NamedTuple)
+    False
+    ```
+    """
+    return isinstance(obj, type) and issubclass(obj, tuple) and hasattr(obj, '_fields')  # pyright: ignore[reportUnknownArgumentType]
+
+
+# TypedDict?
+
+# BinaryIO? IO? TextIO?
+
+is_literalstring = _compile_identity_check_function('LiteralString', 'is_literalstring')
+is_literalstring.__doc__ = """
+Return whether the argument is the [`LiteralString`][typing.LiteralString] [special form][].
+
+```pycon
+>>> is_literalstring(LiteralString)
+True
+```
+"""
+
+is_never = _compile_identity_check_function('Never', 'is_never')
+is_never.__doc__ = """
+Return whether the argument is the [`Never`][typing.Never] [special form][].
+
+```pycon
+>>> is_never(Never)
+True
+```
+"""
+
+if sys.version_info >= (3, 10):
+    is_newtype = _compile_isinstance_check_function('NewType', 'is_newtype')
+else:  # On Python 3.10, `NewType` is a function.
+
+    def is_newtype(obj: Any, /) -> bool:
+        return hasattr(obj, '__supertype__')
+
+
+is_newtype.__doc__ = """
+Return whether the argument is a [`NewType`][typing.NewType].
+
+```pycon
+>>> UserId = NewType("UserId", int)
+>>> is_newtype(UserId)
+True
+```
+"""
+
+is_nodefault = _compile_identity_check_function('NoDefault', 'is_nodefault')
+is_nodefault.__doc__ = """
+Return whether the argument is the [`NoDefault`][typing.NoDefault] sentinel object.
+
+```pycon
+>>> is_nodefault(NoDefault)
+True
+```
+"""
+
+is_noextraitems = _compile_identity_check_function('NoExtraItems', 'is_noextraitems')
+is_noextraitems.__doc__ = """
+Return whether the argument is the `NoExtraItems` sentinel object.
+
+```pycon
+>>> is_noextraitems(NoExtraItems)
+True
+```
+"""
+
+is_noreturn = _compile_identity_check_function('NoReturn', 'is_noreturn')
+is_noreturn.__doc__ = """
+Return whether the argument is the [`NoReturn`][typing.NoReturn] [special form][].
+
+```pycon
+>>> is_noreturn(NoReturn)
+True
+>>> is_noreturn(Never)
+False
+```
+"""
+
+is_notrequired = _compile_identity_check_function('NotRequired', 'is_notrequired')
+is_notrequired.__doc__ = """
+Return whether the argument is the [`NotRequired`][typing.NotRequired] [special form][].
+
+```pycon
+>>> is_notrequired(NotRequired)
+True
+```
+"""
+
+is_paramspecargs = _compile_isinstance_check_function('ParamSpecArgs', 'is_paramspecargs')
+is_paramspecargs.__doc__ = """
+Return whether the argument is an instance of [`ParamSpecArgs`][typing.ParamSpecArgs].
+
+```pycon
+>>> P = ParamSpec('P')
+>>> is_paramspecargs(P.args)
+True
+```
+"""
+
+is_paramspeckwargs = _compile_isinstance_check_function('ParamSpecKwargs', 'is_paramspeckwargs')
+is_paramspeckwargs.__doc__ = """
+Return whether the argument is an instance of [`ParamSpecKwargs`][typing.ParamSpecKwargs].
+
+```pycon
+>>> P = ParamSpec('P')
+>>> is_paramspeckwargs(P.kwargs)
+True
+```
+"""
+
+is_readonly = _compile_identity_check_function('ReadOnly', 'is_readonly')
+is_readonly.__doc__ = """
+Return whether the argument is the [`ReadOnly`][typing.ReadOnly] [special form][].
+
+```pycon
+>>> is_readonly(ReadOnly)
+True
+```
+"""
+
+is_required = _compile_identity_check_function('Required', 'is_required')
+is_required.__doc__ = """
+Return whether the argument is the [`Required`][typing.Required] [special form][].
+
+```pycon
+>>> is_required(Required)
+True
+```
+"""
+
+is_self = _compile_identity_check_function('Self', 'is_self')
+is_self.__doc__ = """
+Return whether the argument is the [`Self`][typing.Self] [special form][].
+
+```pycon
+>>> is_self(Self)
+True
+```
+"""
+
+# TYPE_CHECKING?
+
+is_typealias = _compile_identity_check_function('TypeAlias', 'is_typealias')
+is_typealias.__doc__ = """
+Return whether the argument is the [`TypeAlias`][typing.TypeAlias] [special form][].
+
+```pycon
+>>> is_typealias(TypeAlias)
+True
+```
+"""
+
+is_typeguard = _compile_identity_check_function('TypeGuard', 'is_typeguard')
+is_typeguard.__doc__ = """
+Return whether the argument is the [`TypeGuard`][typing.TypeGuard] [special form][].
+
+```pycon
+>>> is_typeguard(TypeGuard)
+True
+```
+"""
+
+is_typeis = _compile_identity_check_function('TypeIs', 'is_typeis')
+is_typeis.__doc__ = """
+Return whether the argument is the [`TypeIs`][typing.TypeIs] [special form][].
+
+```pycon
+>>> is_typeis(TypeIs)
+True
+```
+"""
+
+_is_typealiastype_inner = _compile_isinstance_check_function('TypeAliasType', '_is_typealiastype_inner')
+
+
+if _IS_PY310:
+    # Parameterized PEP 695 type aliases are instances of `types.GenericAlias` in typing_extensions>=4.13.0.
+    # On Python 3.10, with `Alias[int]` being such an instance of `GenericAlias`,
+    # `isinstance(Alias[int], TypeAliasType)` returns `True`.
+    # See https://github.com/python/cpython/issues/89828.
+    def is_typealiastype(obj: Any, /) -> 'TypeIs[TypeAliasType]':
+        return type(obj) is not GenericAlias and _is_typealiastype_inner(obj)
+else:
+    is_typealiastype = _compile_isinstance_check_function('TypeAliasType', 'is_typealiastype')
+
+is_typealiastype.__doc__ = """
+Return whether the argument is a [`TypeAliasType`][typing.TypeAliasType] instance.
+
+```pycon
+>>> type MyInt = int
+>>> is_typealiastype(MyInt)
+True
+>>> MyStr = TypeAliasType("MyStr", str)
+>>> is_typealiastype(MyStr):
+True
+>>> type MyList[T] = list[T]
+>>> is_typealiastype(MyList[int])
+False
+```
+"""
+
+is_unpack = _compile_identity_check_function('Unpack', 'is_unpack')
+is_unpack.__doc__ = """
+Return whether the argument is the [`Unpack`][typing.Unpack] [special form][].
+
+```pycon
+>>> is_unpack(Unpack)
+True
+>>> is_unpack(Unpack[Ts])
+False
+```
+"""
+
+
+if sys.version_info >= (3, 13):
+
+    def is_deprecated(obj: Any, /) -> 'TypeIs[deprecated]':
+        return isinstance(obj, (warnings.deprecated, typing_extensions.deprecated))
+
+else:
+
+    def is_deprecated(obj: Any, /) -> 'TypeIs[deprecated]':
+        return isinstance(obj, typing_extensions.deprecated)
+
+
+is_deprecated.__doc__ = """
+Return whether the argument is a [`deprecated`][warnings.deprecated] instance.
+
+This also includes the [`typing_extensions` backport][typing_extensions.deprecated].
+
+```pycon
+>>> is_deprecated(warnings.deprecated('message'))
+True
+>>> is_deprecated(typing_extensions.deprecated('message'))
+True
+```
+"""
+
+
+# Aliases defined in the `typing` module using `typing._SpecialGenericAlias` (itself aliased as `alias()`):
+DEPRECATED_ALIASES: Final[dict[Any, type[Any]]] = {
+    typing.Hashable: collections.abc.Hashable,
+    typing.Awaitable: collections.abc.Awaitable,
+    typing.Coroutine: collections.abc.Coroutine,
+    typing.AsyncIterable: collections.abc.AsyncIterable,
+    typing.AsyncIterator: collections.abc.AsyncIterator,
+    typing.Iterable: collections.abc.Iterable,
+    typing.Iterator: collections.abc.Iterator,
+    typing.Reversible: collections.abc.Reversible,
+    typing.Sized: collections.abc.Sized,
+    typing.Container: collections.abc.Container,
+    typing.Collection: collections.abc.Collection,
+    # type ignore reason: https://github.com/python/typeshed/issues/6257:
+    typing.Callable: collections.abc.Callable,  # pyright: ignore[reportAssignmentType, reportUnknownMemberType]
+    typing.AbstractSet: collections.abc.Set,
+    typing.MutableSet: collections.abc.MutableSet,
+    typing.Mapping: collections.abc.Mapping,
+    typing.MutableMapping: collections.abc.MutableMapping,
+    typing.Sequence: collections.abc.Sequence,
+    typing.MutableSequence: collections.abc.MutableSequence,
+    typing.Tuple: tuple,
+    typing.List: list,
+    typing.Deque: collections.deque,
+    typing.Set: set,
+    typing.FrozenSet: frozenset,
+    typing.MappingView: collections.abc.MappingView,
+    typing.KeysView: collections.abc.KeysView,
+    typing.ItemsView: collections.abc.ItemsView,
+    typing.ValuesView: collections.abc.ValuesView,
+    typing.Dict: dict,
+    typing.DefaultDict: collections.defaultdict,
+    typing.OrderedDict: collections.OrderedDict,
+    typing.Counter: collections.Counter,
+    typing.ChainMap: collections.ChainMap,
+    typing.Generator: collections.abc.Generator,
+    typing.AsyncGenerator: collections.abc.AsyncGenerator,
+    typing.Type: type,
+    # Defined in `typing.__getattr__`:
+    typing.Pattern: re.Pattern,
+    typing.Match: re.Match,
+    typing.ContextManager: contextlib.AbstractContextManager,
+    typing.AsyncContextManager: contextlib.AbstractAsyncContextManager,
+    # Skipped: `ByteString` (deprecated, removed in 3.14)
+}
+"""A mapping between the deprecated typing aliases to their replacement, as per [PEP 585](https://peps.python.org/pep-0585/)."""
+
+
+# Add the `typing_extensions` aliases:
+for alias, target in list(DEPRECATED_ALIASES.items()):
+    # Use `alias.__name__` when we drop support for Python 3.9
+    if (te_alias := getattr(typing_extensions, alias._name, None)) is not None:
+        DEPRECATED_ALIASES[te_alias] = target

venv/lib/python3.12/site-packages/typing_inspection/typing_objects.pyi

@@ -0,0 +1,417 @@
+# Stub file generated using:
+# `stubgen --inspect-mode --include-docstrings -m typing_inspection.typing_objects`
+# (manual edits need to be applied).
+"""Low-level introspection utilities for [`typing`][] members.
+
+The provided functions in this module check against both the [`typing`][] and [`typing_extensions`][]
+variants, if they exists and are different.
+"""
+
+import sys
+from typing import Any, Final, ForwardRef, NewType, TypeVar
+
+from typing_extensions import ParamSpec, ParamSpecArgs, ParamSpecKwargs, TypeAliasType, TypeIs, TypeVarTuple, deprecated
+
+__all__ = [
+    'DEPRECATED_ALIASES',
+    'NoneType',
+    'is_annotated',
+    'is_any',
+    'is_classvar',
+    'is_concatenate',
+    'is_deprecated',
+    'is_final',
+    'is_generic',
+    'is_literal',
+    'is_literalstring',
+    'is_namedtuple',
+    'is_never',
+    'is_newtype',
+    'is_nodefault',
+    'is_noextraitems',
+    'is_noreturn',
+    'is_notrequired',
+    'is_paramspec',
+    'is_paramspecargs',
+    'is_paramspeckwargs',
+    'is_readonly',
+    'is_required',
+    'is_self',
+    'is_typealias',
+    'is_typealiastype',
+    'is_typeguard',
+    'is_typeis',
+    'is_typevar',
+    'is_typevartuple',
+    'is_union',
+    'is_unpack',
+]
+
+if sys.version_info >= (3, 10):
+    from types import NoneType
+else:
+    NoneType = type(None)
+
+def is_annotated(obj: Any, /) -> bool:
+    """
+    Return whether the argument is the [`Annotated`][typing.Annotated] [special form][].
+
+    ```pycon
+    >>> is_annotated(Annotated)
+    True
+    >>> is_annotated(Annotated[int, ...])
+    False
+    ```
+    """
+
+def is_any(obj: Any, /) -> bool:
+    """
+    Return whether the argument is the [`Any`][typing.Any] [special form][].
+
+    ```pycon
+    >>> is_any(Any)
+    True
+    ```
+    """
+
+def is_classvar(obj: Any, /) -> bool:
+    """
+    Return whether the argument is the [`ClassVar`][typing.ClassVar] [type qualifier][].
+
+    ```pycon
+    >>> is_classvar(ClassVar)
+    True
+    >>> is_classvar(ClassVar[int])
+    >>> False
+    ```
+    """
+
+def is_concatenate(obj: Any, /) -> bool:
+    """
+    Return whether the argument is the [`Concatenate`][typing.Concatenate] [special form][].
+
+    ```pycon
+    >>> is_concatenate(Concatenate)
+    True
+    >>> is_concatenate(Concatenate[int, P])
+    False
+    ```
+    """
+
+def is_final(obj: Any, /) -> bool:
+    """
+    Return whether the argument is the [`Final`][typing.Final] [type qualifier][].
+
+    ```pycon
+    >>> is_final(Final)
+    True
+    >>> is_final(Final[int])
+    False
+    ```
+    """
+
+def is_forwardref(obj: Any, /) -> TypeIs[ForwardRef]:
+    """
+    Return whether the argument is an instance of [`ForwardRef`][typing.ForwardRef].
+
+    ```pycon
+    >>> is_forwardref(ForwardRef('T'))
+    True
+    ```
+    """
+
+def is_generic(obj: Any, /) -> bool:
+    """
+    Return whether the argument is the [`Generic`][typing.Generic] [special form][].
+
+    ```pycon
+    >>> is_generic(Generic)
+    True
+    >>> is_generic(Generic[T])
+    False
+    ```
+    """
+
+def is_literal(obj: Any, /) -> bool:
+    """
+    Return whether the argument is the [`Literal`][typing.Literal] [special form][].
+
+    ```pycon
+    >>> is_literal(Literal)
+    True
+    >>> is_literal(Literal["a"])
+    False
+    ```
+    """
+
+def is_paramspec(obj: Any, /) -> TypeIs[ParamSpec]:
+    """
+    Return whether the argument is an instance of [`ParamSpec`][typing.ParamSpec].
+
+    ```pycon
+    >>> P = ParamSpec('P')
+    >>> is_paramspec(P)
+    True
+    ```
+    """
+
+def is_typevar(obj: Any, /) -> TypeIs[TypeVar]:
+    """
+    Return whether the argument is an instance of [`TypeVar`][typing.TypeVar].
+
+    ```pycon
+    >>> T = TypeVar('T')
+    >>> is_typevar(T)
+    True
+    ```
+    """
+
+def is_typevartuple(obj: Any, /) -> TypeIs[TypeVarTuple]:
+    """
+    Return whether the argument is an instance of [`TypeVarTuple`][typing.TypeVarTuple].
+
+    ```pycon
+    >>> Ts = TypeVarTuple('Ts')
+    >>> is_typevartuple(Ts)
+    True
+    ```
+    """
+
+def is_union(obj: Any, /) -> bool:
+    """
+    Return whether the argument is the [`Union`][typing.Union] [special form][].
+
+    This function can also be used to check for the [`Optional`][typing.Optional] [special form][],
+    as at runtime, `Optional[int]` is equivalent to `Union[int, None]`.
+
+    ```pycon
+    >>> is_union(Union)
+    True
+    >>> is_union(Union[int, str])
+    False
+    ```
+
+    !!! warning
+        This does not check for unions using the [new syntax][types-union] (e.g. `int | str`).
+    """
+
+def is_namedtuple(obj: Any, /) -> bool:
+    """Return whether the argument is a named tuple type.
+
+    This includes [`NamedTuple`][typing.NamedTuple] subclasses and classes created from the
+    [`collections.namedtuple`][] factory function.
+
+    ```pycon
+    >>> class User(NamedTuple):
+    ...     name: str
+    ...
+    >>> is_namedtuple(User)
+    True
+    >>> City = collections.namedtuple('City', [])
+    >>> is_namedtuple(City)
+    True
+    >>> is_namedtuple(NamedTuple)
+    False
+    ```
+    """
+
+def is_literalstring(obj: Any, /) -> bool:
+    """
+    Return whether the argument is the [`LiteralString`][typing.LiteralString] [special form][].
+
+    ```pycon
+    >>> is_literalstring(LiteralString)
+    True
+    ```
+    """
+
+def is_never(obj: Any, /) -> bool:
+    """
+    Return whether the argument is the [`Never`][typing.Never] [special form][].
+
+    ```pycon
+    >>> is_never(Never)
+    True
+    ```
+    """
+
+def is_newtype(obj: Any, /) -> TypeIs[NewType]:
+    """
+    Return whether the argument is a [`NewType`][typing.NewType].
+
+    ```pycon
+    >>> UserId = NewType("UserId", int)
+    >>> is_newtype(UserId)
+    True
+    ```
+    """
+
+def is_nodefault(obj: Any, /) -> bool:
+    """
+    Return whether the argument is the [`NoDefault`][typing.NoDefault] sentinel object.
+
+    ```pycon
+    >>> is_nodefault(NoDefault)
+    True
+    ```
+    """
+
+def is_noextraitems(obj: Any, /) -> bool:
+    """
+    Return whether the argument is the `NoExtraItems` sentinel object.
+
+    ```pycon
+    >>> is_noextraitems(NoExtraItems)
+    True
+    ```
+    """
+
+def is_noreturn(obj: Any, /) -> bool:
+    """
+    Return whether the argument is the [`NoReturn`][typing.NoReturn] [special form][].
+
+    ```pycon
+    >>> is_noreturn(NoReturn)
+    True
+    >>> is_noreturn(Never)
+    False
+    ```
+    """
+
+def is_notrequired(obj: Any, /) -> bool:
+    """
+    Return whether the argument is the [`NotRequired`][typing.NotRequired] [special form][].
+
+    ```pycon
+    >>> is_notrequired(NotRequired)
+    True
+    ```
+    """
+
+def is_paramspecargs(obj: Any, /) -> TypeIs[ParamSpecArgs]:
+    """
+    Return whether the argument is an instance of [`ParamSpecArgs`][typing.ParamSpecArgs].
+
+    ```pycon
+    >>> P = ParamSpec('P')
+    >>> is_paramspecargs(P.args)
+    True
+    ```
+    """
+
+def is_paramspeckwargs(obj: Any, /) -> TypeIs[ParamSpecKwargs]:
+    """
+    Return whether the argument is an instance of [`ParamSpecKwargs`][typing.ParamSpecKwargs].
+
+    ```pycon
+    >>> P = ParamSpec('P')
+    >>> is_paramspeckwargs(P.kwargs)
+    True
+    ```
+    """
+
+def is_readonly(obj: Any, /) -> bool:
+    """
+    Return whether the argument is the [`ReadOnly`][typing.ReadOnly] [special form][].
+
+    ```pycon
+    >>> is_readonly(ReadOnly)
+    True
+    ```
+    """
+
+def is_required(obj: Any, /) -> bool:
+    """
+    Return whether the argument is the [`Required`][typing.Required] [special form][].
+
+    ```pycon
+    >>> is_required(Required)
+    True
+    ```
+    """
+
+def is_self(obj: Any, /) -> bool:
+    """
+    Return whether the argument is the [`Self`][typing.Self] [special form][].
+
+    ```pycon
+    >>> is_self(Self)
+    True
+    ```
+    """
+
+def is_typealias(obj: Any, /) -> bool:
+    """
+    Return whether the argument is the [`TypeAlias`][typing.TypeAlias] [special form][].
+
+    ```pycon
+    >>> is_typealias(TypeAlias)
+    True
+    ```
+    """
+
+def is_typeguard(obj: Any, /) -> bool:
+    """
+    Return whether the argument is the [`TypeGuard`][typing.TypeGuard] [special form][].
+
+    ```pycon
+    >>> is_typeguard(TypeGuard)
+    True
+    ```
+    """
+
+def is_typeis(obj: Any, /) -> bool:
+    """
+    Return whether the argument is the [`TypeIs`][typing.TypeIs] [special form][].
+
+    ```pycon
+    >>> is_typeis(TypeIs)
+    True
+    ```
+    """
+
+def is_typealiastype(obj: Any, /) -> TypeIs[TypeAliasType]:
+    """
+    Return whether the argument is a [`TypeAliasType`][typing.TypeAliasType] instance.
+
+    ```pycon
+    >>> type MyInt = int
+    >>> is_typealiastype(MyInt)
+    True
+    >>> MyStr = TypeAliasType("MyStr", str)
+    >>> is_typealiastype(MyStr):
+    True
+    >>> type MyList[T] = list[T]
+    >>> is_typealiastype(MyList[int])
+    False
+    ```
+    """
+
+def is_unpack(obj: Any, /) -> bool:
+    """
+    Return whether the argument is the [`Unpack`][typing.Unpack] [special form][].
+
+    ```pycon
+    >>> is_unpack(Unpack)
+    True
+    >>> is_unpack(Unpack[Ts])
+    False
+    ```
+    """
+
+def is_deprecated(obj: Any, /) -> TypeIs[deprecated]:
+    """
+    Return whether the argument is a [`deprecated`][warnings.deprecated] instance.
+
+    This also includes the [`typing_extensions` backport][typing_extensions.deprecated].
+
+    ```pycon
+    >>> is_deprecated(warnings.deprecated('message'))
+    True
+    >>> is_deprecated(typing_extensions.deprecated('deprecated'))
+    True
+    ```
+    """
+
+DEPRECATED_ALIASES: Final[dict[Any, type[Any]]]
+"""A mapping between the deprecated typing aliases to their replacement, as per [PEP 585](https://peps.python.org/pep-0585/)."""

venv/lib/python3.12/site-packages/websockets-16.0.dist-info/INSTALLER

@@ -0,0 +1 @@
+pip

venv/lib/python3.12/site-packages/websockets-16.0.dist-info/METADATA

@@ -0,0 +1,179 @@
+Metadata-Version: 2.4
+Name: websockets
+Version: 16.0
+Summary: An implementation of the WebSocket Protocol (RFC 6455 & 7692)
+Author-email: Aymeric Augustin <aymeric.augustin@m4x.org>
+License-Expression: BSD-3-Clause
+Project-URL: Homepage, https://github.com/python-websockets/websockets
+Project-URL: Changelog, https://websockets.readthedocs.io/en/stable/project/changelog.html
+Project-URL: Documentation, https://websockets.readthedocs.io/
+Project-URL: Funding, https://tidelift.com/subscription/pkg/pypi-websockets?utm_source=pypi-websockets&utm_medium=referral&utm_campaign=readme
+Project-URL: Tracker, https://github.com/python-websockets/websockets/issues
+Keywords: WebSocket
+Classifier: Development Status :: 5 - Production/Stable
+Classifier: Environment :: Web Environment
+Classifier: Intended Audience :: Developers
+Classifier: Operating System :: OS Independent
+Classifier: Programming Language :: Python
+Classifier: Programming Language :: Python :: 3
+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: >=3.10
+Description-Content-Type: text/x-rst
+License-File: LICENSE
+Dynamic: description
+Dynamic: description-content-type
+Dynamic: license-file
+
+.. image:: logo/horizontal.svg
+   :width: 480px
+   :alt: websockets
+
+|licence| |version| |pyversions| |tests| |docs| |openssf|
+
+.. |licence| image:: https://img.shields.io/pypi/l/websockets.svg
+    :target: https://pypi.python.org/pypi/websockets
+
+.. |version| image:: https://img.shields.io/pypi/v/websockets.svg
+    :target: https://pypi.python.org/pypi/websockets
+
+.. |pyversions| image:: https://img.shields.io/pypi/pyversions/websockets.svg
+    :target: https://pypi.python.org/pypi/websockets
+
+.. |tests| image:: https://img.shields.io/github/checks-status/python-websockets/websockets/main?label=tests
+   :target: https://github.com/python-websockets/websockets/actions/workflows/tests.yml
+
+.. |docs| image:: https://img.shields.io/readthedocs/websockets.svg
+   :target: https://websockets.readthedocs.io/
+
+.. |openssf| image:: https://bestpractices.coreinfrastructure.org/projects/6475/badge
+   :target: https://bestpractices.coreinfrastructure.org/projects/6475
+
+What is ``websockets``?
+-----------------------
+
+websockets is a library for building WebSocket_ servers and clients in Python
+with a focus on correctness, simplicity, robustness, and performance.
+
+.. _WebSocket: https://developer.mozilla.org/en-US/docs/Web/API/WebSockets_API
+
+Built on top of ``asyncio``, Python's standard asynchronous I/O framework, the
+default implementation provides an elegant coroutine-based API.
+
+An implementation on top of ``threading`` and a Sans-I/O implementation are also
+available.
+
+`Documentation is available on Read the Docs. <https://websockets.readthedocs.io/>`_
+
+.. copy-pasted because GitHub doesn't support the include directive
+
+Here's an echo server with the ``asyncio`` API:
+
+.. code:: python
+
+    #!/usr/bin/env python
+
+    import asyncio
+    from websockets.asyncio.server import serve
+
+    async def echo(websocket):
+        async for message in websocket:
+            await websocket.send(message)
+
+    async def main():
+        async with serve(echo, "localhost", 8765) as server:
+            await server.serve_forever()
+
+    asyncio.run(main())
+
+Here's how a client sends and receives messages with the ``threading`` API:
+
+.. code:: python
+
+    #!/usr/bin/env python
+
+    from websockets.sync.client import connect
+
+    def hello():
+        with connect("ws://localhost:8765") as websocket:
+            websocket.send("Hello world!")
+            message = websocket.recv()
+            print(f"Received: {message}")
+
+    hello()
+
+
+Does that look good?
+
+`Get started with the tutorial! <https://websockets.readthedocs.io/en/stable/intro/index.html>`_
+
+Why should I use ``websockets``?
+--------------------------------
+
+The development of ``websockets`` is shaped by four principles:
+
+1. **Correctness**: ``websockets`` is heavily tested for compliance with
+   :rfc:`6455`. Continuous integration fails under 100% branch coverage.
+
+2. **Simplicity**: all you need to understand is ``msg = await ws.recv()`` and
+   ``await ws.send(msg)``. ``websockets`` takes care of managing connections
+   so you can focus on your application.
+
+3. **Robustness**: ``websockets`` is built for production. For example, it was
+   the only library to `handle backpressure correctly`_ before the issue
+   became widely known in the Python community.
+
+4. **Performance**: memory usage is optimized and configurable. A C extension
+   accelerates expensive operations. It's pre-compiled for Linux, macOS and
+   Windows and packaged in the wheel format for each system and Python version.
+
+Documentation is a first class concern in the project. Head over to `Read the
+Docs`_ and see for yourself.
+
+.. _Read the Docs: https://websockets.readthedocs.io/
+.. _handle backpressure correctly: https://vorpus.org/blog/some-thoughts-on-asynchronous-api-design-in-a-post-asyncawait-world/#websocket-servers
+
+Why shouldn't I use ``websockets``?
+-----------------------------------
+
+* If you prefer callbacks over coroutines: ``websockets`` was created to
+  provide the best coroutine-based API to manage WebSocket connections in
+  Python. Pick another library for a callback-based API.
+
+* If you're looking for a mixed HTTP / WebSocket library: ``websockets`` aims
+  at being an excellent implementation of :rfc:`6455`: The WebSocket Protocol
+  and :rfc:`7692`: Compression Extensions for WebSocket. Its support for HTTP
+  is minimal — just enough for an HTTP health check.
+
+  If you want to do both in the same server, look at HTTP + WebSocket servers
+  that build on top of ``websockets`` to support WebSocket connections, like
+  uvicorn_ or Sanic_.
+
+.. _uvicorn: https://www.uvicorn.org/
+.. _Sanic: https://sanic.dev/en/
+
+What else?
+----------
+
+Bug reports, patches and suggestions are welcome!
+
+To report a security vulnerability, please use the `Tidelift security
+contact`_. Tidelift will coordinate the fix and disclosure.
+
+.. _Tidelift security contact: https://tidelift.com/security
+
+For anything else, please open an issue_ or send a `pull request`_.
+
+.. _issue: https://github.com/python-websockets/websockets/issues/new
+.. _pull request: https://github.com/python-websockets/websockets/compare/
+
+Participants must uphold the `Contributor Covenant code of conduct`_.
+
+.. _Contributor Covenant code of conduct: https://github.com/python-websockets/websockets/blob/main/CODE_OF_CONDUCT.md
+
+``websockets`` is released under the `BSD license`_.
+
+.. _BSD license: https://github.com/python-websockets/websockets/blob/main/LICENSE

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+Generator: setuptools (80.9.0)
+Root-Is-Purelib: false
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+Tag: cp312-cp312-manylinux1_x86_64
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venv/lib/python3.12/site-packages/websockets-16.0.dist-info/entry_points.txt

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+[console_scripts]
+websockets = websockets.cli:main

venv/lib/python3.12/site-packages/websockets-16.0.dist-info/top_level.txt

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+websockets