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env/lib/python3.11/site-packages/pydantic_core-2.27.2.dist-info/INSTALLER

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+pip

env/lib/python3.11/site-packages/pydantic_core-2.27.2.dist-info/METADATA

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+Metadata-Version: 2.4
+Name: pydantic_core
+Version: 2.27.2
+Classifier: Development Status :: 3 - Alpha
+Classifier: Programming Language :: Python
+Classifier: Programming Language :: Python :: 3
+Classifier: Programming Language :: Python :: 3 :: Only
+Classifier: Programming Language :: Python :: 3.8
+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 :: Rust
+Classifier: Framework :: Pydantic
+Classifier: Intended Audience :: Developers
+Classifier: Intended Audience :: Information Technology
+Classifier: License :: OSI Approved :: MIT License
+Classifier: Operating System :: POSIX :: Linux
+Classifier: Operating System :: Microsoft :: Windows
+Classifier: Operating System :: MacOS
+Classifier: Typing :: Typed
+Requires-Dist: typing-extensions >=4.6.0, !=4.7.0
+License-File: LICENSE
+Summary: Core functionality for Pydantic validation and serialization
+Home-Page: https://github.com/pydantic/pydantic-core
+Author-email: Samuel Colvin <s@muelcolvin.com>
+License: MIT
+Requires-Python: >=3.8
+Description-Content-Type: text/markdown; charset=UTF-8; variant=GFM
+Project-URL: Homepage, https://github.com/pydantic/pydantic-core
+Project-URL: Funding, https://github.com/sponsors/samuelcolvin
+Project-URL: Source, https://github.com/pydantic/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
+
+You'll need rust stable [installed](https://rustup.rs/), or rust nightly if you want to generate accurate coverage.
+
+With rust and python 3.8+ installed, compiling pydantic-core should be possible with roughly the following:
+
+```bash
+# clone this repo or your fork
+git clone git@github.com:pydantic/pydantic-core.git
+cd pydantic-core
+# create a new virtual env
+python3 -m venv env
+source env/bin/activate
+# install dependencies and install pydantic-core
+make install
+```
+
+That should be it, the example shown above should now run.
+
+You might find it useful to look at [`python/pydantic_core/_pydantic_core.pyi`](./python/pydantic_core/_pydantic_core.pyi) and
+[`python/pydantic_core/core_schema.py`](./python/pydantic_core/core_schema.py) for more information on the python API,
+beyond that, [`tests/`](./tests) provide a large number of examples of usage.
+
+If you want to contribute to pydantic-core, you'll want to use some other make commands:
+* `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` to run `format build-dev lint test`
+
+## 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
+
+1. Bump package version locally. Do not just edit `Cargo.toml` on Github, you need both `Cargo.toml` and `Cargo.lock` to be updated.
+2. Make a PR for the version bump and merge it.
+3. Go to https://github.com/pydantic/pydantic-core/releases and click "Draft a new release"
+4. In the "Choose a tag" dropdown enter the new tag `v<the.new.version>` and select "Create new tag on publish" when the option appears.
+5. Enter the release title in the form "v<the.new.version> <YYYY-MM-DD>"
+6. Click Generate release notes button
+7. Click Publish release
+8. Go to https://github.com/pydantic/pydantic-core/actions and ensure that all build for release are done successfully.
+9. Go to https://pypi.org/project/pydantic-core/ and ensure that the latest release is published.
+10. Done 🎉
+

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env/lib/python3.11/site-packages/pydantic_core-2.27.2.dist-info/WHEEL

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+Generator: maturin (1.7.8)
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env/lib/python3.11/site-packages/pydantic_core-2.27.2.dist-info/licenses/LICENSE

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