No project description provided

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for dmontagu from gravatar.com dmontagu Avatar for samuelcolvin from gravatar.com samuelcolvin

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT)
  • Author: Samuel Colvin
  • Requires: Python >=3.7
Classifiers

Project description

pydantic-core

CI Coverage pypi versions license

This package provides the core functionality for pydantic validation and serialization.

Pydantic-core is currently around 17x faster than pydantic V1. See 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.

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, or rust nightly if you want to generate accurate coverage.

With rust and python 3.7+ installed, compiling pydantic-core should be possible with roughly the following:

# 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 and python/pydantic_core/core_schema.py for more information on the python API, beyond that, 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. (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.):

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> "
  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-hypernode.com/project/pydantic-core/ and ensure that the latest release is published.
  10. Done 🎉

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for dmontagu from gravatar.com dmontagu Avatar for samuelcolvin from gravatar.com samuelcolvin

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT)
  • Author: Samuel Colvin
  • Requires: Python >=3.7
Classifiers

Release history Release notifications | RSS feed

2.27.0

2.26.0

2.25.1

2.25.0

2.24.2

2.24.1

2.24.0

2.23.4

2.23.3

2.23.2

2.23.1

2.23.0

2.22.0

2.21.0

2.20.1

2.20.0

2.19.0

2.18.4

2.18.3

2.18.2

2.18.1

2.18.0

2.17.0

2.16.3

2.16.2

2.16.1

2.16.0

2.15.0

2.14.6

2.14.5

2.14.4

2.14.3

2.14.1

2.14.0

2.13.0

This version

2.12.0

2.11.0

2.10.1

2.10.0

2.9.0

2.8.0

2.7.0

2.6.3

2.6.2

2.6.1

2.6.0

2.5.0

2.4.0

2.3.1

2.3.0

2.2.0

2.1.3

2.1.2

2.0.2

2.0.1

2.0.0

0.42.0

0.41.0

0.40.1

0.40.0

0.39.0

0.38.0

0.37.0

0.36.0

0.35.0

0.34.0

0.33.0

0.32.0

0.31.0

0.30.0

0.29.0

0.28.1

0.28.0

0.27.1

0.27.0

0.26.0

0.25.0

0.24.1

0.24.0

0.23.1

0.23.0

0.22.0

0.21.0

0.20.0

0.19.0

0.18.1

0.18.0

0.17.1

0.16.1

0.16.0

0.15.2

0.15.1

0.15.0

0.14.1

0.14.0

0.13.0

0.12.1

0.12.0

0.11.1

0.11.0

0.10.0

0.9.0

0.8.2

0.8.1

0.7.1

0.7.0

0.6.0

0.5.3

0.5.2

0.5.1

0.5.0

0.4.0

0.3.1

0.3.0

0.1.0

0.0.1

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pydantic_core-2.12.0.tar.gz (357.5 kB view details)

Uploaded Source

Built Distributions

pydantic_core-2.12.0-pp310-pypy310_pp73-win_amd64.whl (2.0 MB view details)

Uploaded PyPy Windows x86-64

pydantic_core-2.12.0-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl (2.2 MB view details)

Uploaded PyPy musllinux: musl 1.1+ x86-64

pydantic_core-2.12.0-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl (2.0 MB view details)

Uploaded PyPy musllinux: musl 1.1+ ARM64

pydantic_core-2.12.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.9 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

pydantic_core-2.12.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.9 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

pydantic_core-2.12.0-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl (1.9 MB view details)

Uploaded PyPy manylinux: glibc 2.5+ i686

pydantic_core-2.12.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl (1.8 MB view details)

Uploaded PyPy macOS 11.0+ ARM64

pydantic_core-2.12.0-pp310-pypy310_pp73-macosx_10_7_x86_64.whl (1.9 MB view details)

Uploaded PyPy macOS 10.7+ x86-64

pydantic_core-2.12.0-pp39-pypy39_pp73-win_amd64.whl (2.0 MB view details)

Uploaded PyPy Windows x86-64

pydantic_core-2.12.0-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl (2.2 MB view details)

Uploaded PyPy musllinux: musl 1.1+ x86-64

pydantic_core-2.12.0-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl (2.0 MB view details)

Uploaded PyPy musllinux: musl 1.1+ ARM64

pydantic_core-2.12.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.9 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

pydantic_core-2.12.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.9 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

pydantic_core-2.12.0-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl (1.9 MB view details)

Uploaded PyPy manylinux: glibc 2.5+ i686

pydantic_core-2.12.0-pp39-pypy39_pp73-macosx_11_0_arm64.whl (1.8 MB view details)

Uploaded PyPy macOS 11.0+ ARM64

pydantic_core-2.12.0-pp39-pypy39_pp73-macosx_10_7_x86_64.whl (1.9 MB view details)

Uploaded PyPy macOS 10.7+ x86-64

pydantic_core-2.12.0-pp38-pypy38_pp73-win_amd64.whl (2.0 MB view details)

Uploaded PyPy Windows x86-64

pydantic_core-2.12.0-pp38-pypy38_pp73-musllinux_1_1_x86_64.whl (2.2 MB view details)

Uploaded PyPy musllinux: musl 1.1+ x86-64

pydantic_core-2.12.0-pp38-pypy38_pp73-musllinux_1_1_aarch64.whl (2.0 MB view details)

Uploaded PyPy musllinux: musl 1.1+ ARM64

pydantic_core-2.12.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.9 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

pydantic_core-2.12.0-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.9 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

pydantic_core-2.12.0-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.whl (1.9 MB view details)

Uploaded PyPy manylinux: glibc 2.5+ i686

pydantic_core-2.12.0-pp38-pypy38_pp73-macosx_11_0_arm64.whl (1.8 MB view details)

Uploaded PyPy macOS 11.0+ ARM64

pydantic_core-2.12.0-pp38-pypy38_pp73-macosx_10_7_x86_64.whl (1.9 MB view details)

Uploaded PyPy macOS 10.7+ x86-64

pydantic_core-2.12.0-pp37-pypy37_pp73-win_amd64.whl (1.9 MB view details)

Uploaded PyPy Windows x86-64

pydantic_core-2.12.0-pp37-pypy37_pp73-musllinux_1_1_x86_64.whl (2.2 MB view details)

Uploaded PyPy musllinux: musl 1.1+ x86-64

pydantic_core-2.12.0-pp37-pypy37_pp73-musllinux_1_1_aarch64.whl (2.0 MB view details)

Uploaded PyPy musllinux: musl 1.1+ ARM64

pydantic_core-2.12.0-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.9 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

pydantic_core-2.12.0-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.9 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

pydantic_core-2.12.0-pp37-pypy37_pp73-manylinux_2_5_i686.manylinux1_i686.whl (1.9 MB view details)

Uploaded PyPy manylinux: glibc 2.5+ i686

pydantic_core-2.12.0-pp37-pypy37_pp73-macosx_10_7_x86_64.whl (1.9 MB view details)

Uploaded PyPy macOS 10.7+ x86-64

pydantic_core-2.12.0-cp312-none-win_arm64.whl (1.9 MB view details)

Uploaded CPython 3.12 Windows ARM64

pydantic_core-2.12.0-cp312-none-win_amd64.whl (2.0 MB view details)

Uploaded CPython 3.12 Windows x86-64

pydantic_core-2.12.0-cp312-none-win32.whl (1.8 MB view details)

Uploaded CPython 3.12 Windows x86

pydantic_core-2.12.0-cp312-cp312-musllinux_1_1_x86_64.whl (2.2 MB view details)

Uploaded CPython 3.12 musllinux: musl 1.1+ x86-64

pydantic_core-2.12.0-cp312-cp312-musllinux_1_1_aarch64.whl (2.0 MB view details)

Uploaded CPython 3.12 musllinux: musl 1.1+ ARM64

pydantic_core-2.12.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.9 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

pydantic_core-2.12.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl (3.0 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ s390x

pydantic_core-2.12.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (2.0 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ppc64le

pydantic_core-2.12.0-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.9 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ARMv7l

pydantic_core-2.12.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.9 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ARM64

pydantic_core-2.12.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl (1.9 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.5+ i686

pydantic_core-2.12.0-cp312-cp312-macosx_11_0_arm64.whl (1.8 MB view details)

Uploaded CPython 3.12 macOS 11.0+ ARM64

pydantic_core-2.12.0-cp312-cp312-macosx_10_7_x86_64.whl (1.9 MB view details)

Uploaded CPython 3.12 macOS 10.7+ x86-64

pydantic_core-2.12.0-cp311-none-win_arm64.whl (1.9 MB view details)

Uploaded CPython 3.11 Windows ARM64

pydantic_core-2.12.0-cp311-none-win_amd64.whl (2.0 MB view details)

Uploaded CPython 3.11 Windows x86-64

pydantic_core-2.12.0-cp311-none-win32.whl (1.8 MB view details)

Uploaded CPython 3.11 Windows x86

pydantic_core-2.12.0-cp311-cp311-musllinux_1_1_x86_64.whl (2.2 MB view details)

Uploaded CPython 3.11 musllinux: musl 1.1+ x86-64

pydantic_core-2.12.0-cp311-cp311-musllinux_1_1_aarch64.whl (2.0 MB view details)

Uploaded CPython 3.11 musllinux: musl 1.1+ ARM64

pydantic_core-2.12.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.9 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

pydantic_core-2.12.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl (2.9 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ s390x

pydantic_core-2.12.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (2.0 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ppc64le

pydantic_core-2.12.0-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.9 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARMv7l

pydantic_core-2.12.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.9 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARM64

pydantic_core-2.12.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl (1.9 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.5+ i686

pydantic_core-2.12.0-cp311-cp311-macosx_11_0_arm64.whl (1.8 MB view details)

Uploaded CPython 3.11 macOS 11.0+ ARM64

pydantic_core-2.12.0-cp311-cp311-macosx_10_7_x86_64.whl (1.9 MB view details)

Uploaded CPython 3.11 macOS 10.7+ x86-64

pydantic_core-2.12.0-cp310-none-win_amd64.whl (2.0 MB view details)

Uploaded CPython 3.10 Windows x86-64

pydantic_core-2.12.0-cp310-none-win32.whl (1.8 MB view details)

Uploaded CPython 3.10 Windows x86

pydantic_core-2.12.0-cp310-cp310-musllinux_1_1_x86_64.whl (2.2 MB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ x86-64

pydantic_core-2.12.0-cp310-cp310-musllinux_1_1_aarch64.whl (2.0 MB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ ARM64

pydantic_core-2.12.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.9 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

pydantic_core-2.12.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl (2.9 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ s390x

pydantic_core-2.12.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (2.0 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ppc64le

pydantic_core-2.12.0-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.9 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARMv7l

pydantic_core-2.12.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.9 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

pydantic_core-2.12.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl (1.9 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.5+ i686

pydantic_core-2.12.0-cp310-cp310-macosx_11_0_arm64.whl (1.8 MB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

pydantic_core-2.12.0-cp310-cp310-macosx_10_7_x86_64.whl (1.9 MB view details)

Uploaded CPython 3.10 macOS 10.7+ x86-64

pydantic_core-2.12.0-cp39-none-win_amd64.whl (2.0 MB view details)

Uploaded CPython 3.9 Windows x86-64

pydantic_core-2.12.0-cp39-none-win32.whl (1.8 MB view details)

Uploaded CPython 3.9 Windows x86

pydantic_core-2.12.0-cp39-cp39-musllinux_1_1_x86_64.whl (2.2 MB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ x86-64

pydantic_core-2.12.0-cp39-cp39-musllinux_1_1_aarch64.whl (2.0 MB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ ARM64

pydantic_core-2.12.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.9 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

pydantic_core-2.12.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl (3.0 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ s390x

pydantic_core-2.12.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (2.0 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ppc64le

pydantic_core-2.12.0-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.9 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARMv7l

pydantic_core-2.12.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.9 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

pydantic_core-2.12.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl (1.9 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.5+ i686

pydantic_core-2.12.0-cp39-cp39-macosx_11_0_arm64.whl (1.8 MB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

pydantic_core-2.12.0-cp39-cp39-macosx_10_7_x86_64.whl (1.9 MB view details)

Uploaded CPython 3.9 macOS 10.7+ x86-64

pydantic_core-2.12.0-cp38-none-win_amd64.whl (2.0 MB view details)

Uploaded CPython 3.8 Windows x86-64

pydantic_core-2.12.0-cp38-none-win32.whl (1.8 MB view details)

Uploaded CPython 3.8 Windows x86

pydantic_core-2.12.0-cp38-cp38-musllinux_1_1_x86_64.whl (2.2 MB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ x86-64

pydantic_core-2.12.0-cp38-cp38-musllinux_1_1_aarch64.whl (2.0 MB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ ARM64

pydantic_core-2.12.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.9 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

pydantic_core-2.12.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl (2.9 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ s390x

pydantic_core-2.12.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (2.0 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ppc64le

pydantic_core-2.12.0-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.9 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARMv7l

pydantic_core-2.12.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.9 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARM64

pydantic_core-2.12.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl (1.9 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.5+ i686

pydantic_core-2.12.0-cp38-cp38-macosx_11_0_arm64.whl (1.8 MB view details)

Uploaded CPython 3.8 macOS 11.0+ ARM64

pydantic_core-2.12.0-cp38-cp38-macosx_10_7_x86_64.whl (1.9 MB view details)

Uploaded CPython 3.8 macOS 10.7+ x86-64

pydantic_core-2.12.0-cp37-none-win_amd64.whl (2.0 MB view details)

Uploaded CPython 3.7 Windows x86-64

pydantic_core-2.12.0-cp37-none-win32.whl (1.8 MB view details)

Uploaded CPython 3.7 Windows x86

pydantic_core-2.12.0-cp37-cp37m-musllinux_1_1_x86_64.whl (2.2 MB view details)

Uploaded CPython 3.7m musllinux: musl 1.1+ x86-64

pydantic_core-2.12.0-cp37-cp37m-musllinux_1_1_aarch64.whl (2.0 MB view details)

Uploaded CPython 3.7m musllinux: musl 1.1+ ARM64

pydantic_core-2.12.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.9 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ x86-64

pydantic_core-2.12.0-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl (2.9 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ s390x

pydantic_core-2.12.0-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (2.0 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ ppc64le

pydantic_core-2.12.0-cp37-cp37m-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.9 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ ARMv7l

pydantic_core-2.12.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.9 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ ARM64

pydantic_core-2.12.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl (1.9 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.5+ i686

pydantic_core-2.12.0-cp37-cp37m-macosx_11_0_arm64.whl (1.8 MB view details)

Uploaded CPython 3.7m macOS 11.0+ ARM64

pydantic_core-2.12.0-cp37-cp37m-macosx_10_7_x86_64.whl (1.9 MB view details)

Uploaded CPython 3.7m macOS 10.7+ x86-64

File details

Details for the file pydantic_core-2.12.0.tar.gz.

File metadata

  • Download URL: pydantic_core-2.12.0.tar.gz
  • Upload date:
  • Size: 357.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.13

File hashes

Hashes for pydantic_core-2.12.0.tar.gz
Algorithm Hash digest
SHA256 ed3600c6000f9e1548e37b090f3d5559add7219958eee60a9a187b6dbdf53ed6
MD5 95b01762b8dd6ad9851703d6175cd513
BLAKE2b-256 369d047ea5112a620b78bf8a9cdb30e39aaf8533499db816f446f19f8f752f39

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-pp310-pypy310_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-pp310-pypy310_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 8c6eb46fb827e8c04e15426029a8ceb7c7138e1a975211fb00593c8bde42e60b
MD5 658fe6f20bb34f5f9025696478206e01
BLAKE2b-256 616c3eded69a7422ec4be0ff8b7869121280b23573bba96a4d5ccb3259e3e7c4

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 1092ab81e35c0d95cf54643509c0ac3ebd70d1b56aa8d07e7b92b0122bfc1c21
MD5 9e2e0535aa1366e49a14784b6a777bd7
BLAKE2b-256 a5cc3f31c31e148c33053025d609f424ad56b11e1b601b3646cd57763f6576c3

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 055dcc8d7fabc3a8c664421d49c4aa3d5ba0e7c200685b82ed3333940a6d9f6f
MD5 f44cf38129969962cb38f3448107462e
BLAKE2b-256 705aeaa829181dc8aca625e307a4c61cda2d9e41b9b72c73520e89cface94834

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 bd0d111e962589613da94eecdb44653c1d6b00802f091b4f2c987bfb602e3fdb
MD5 c612681fa74ee33e6d477b91b37af9e6
BLAKE2b-256 8bc4ccca2dacde7ec44a2a9f142c8f3757661b741f491cd6b20b46f450ed4345

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 c4e94bf759d3813c6edeb0f3aba0f2af73e4f275da21659823f2d50883160bb0
MD5 e5d16c67a2e6c52a46d11cb9c92a9a49
BLAKE2b-256 407224db2d267ff08039dcb0ebe15846dfa00c84043101f422f1dbb0cae25145

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 199b89b8676b44ab2e41be7d0a824d482dfe28ddc380d441959530c1523fdf99
MD5 c9c9e27c64567fed537070a01f52c67b
BLAKE2b-256 8d5b8649247d651eb3e08eafa00f4c9ac243a9fb227f34972be7ceda247fe4a4

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 086c30e9b030a08ec5939b40611a04a878b22bcfe33fee6ec1de31d0fdfb49c6
MD5 1db618dfcbffbbbab1bd15a28bb3ade1
BLAKE2b-256 b8c3b7cd24710b7473f48bbeb047d8c983b6fc8842faf79612cc136846f1ed54

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-pp310-pypy310_pp73-macosx_10_7_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-pp310-pypy310_pp73-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 ef2e0643917cc14c5261b417e582a0ee3d4efd7ad517dcaaf62924534c355b47
MD5 072aabd95820658e9cde82d33aa9cfe4
BLAKE2b-256 9ec8bc2bd5c3a4781b5ddc62ed16f055029ca429bfdfad0bbad819adac99b6a6

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-pp39-pypy39_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-pp39-pypy39_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 a25d1ea197d8f1eb89579bc270ce470c2d88f1e44083471a4c7d4156b99254f4
MD5 e130a6c0c0711b40b1f84bf0301c9f24
BLAKE2b-256 604ec0e245232d7348150c393dccfadbf33972eec13cf4acb8ea548b10ccae6f

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 78ae5720fa40516caf0e153adac43a1d0c061ef54581dde1f24d4bdabdcbe541
MD5 f96ff58e48563fdc6f1059ff24b401b2
BLAKE2b-256 c9e787f48fdf56bc62505c704c89293a52b3f4a5f76d3cd969f7cd3a59f6a52f

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 63f3cbd2a2f5e4517ccd961009f612d01c69c335e8891d656f0228744dd31d2b
MD5 43280fc3054fcb5d241572b57af32929
BLAKE2b-256 4bc6ae06eb6ab2b1acd527db9fce630612e1503212699c44443d1214ac7310a5

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 923382f6b3ac18a307de0103fc5a1c5ff5bc2cfbffbb879c0a3bf693c0752bfc
MD5 8f16e5361afa77f747c890e0d3fc4c11
BLAKE2b-256 3750903df39c678be18085ac05d1606f99e0f84902583d2782f2e4a44f3657d5

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 547d892a55e72fa02d832f1fbd54cbd4d7231d0d05e848cc80580df269b5091e
MD5 4ac1509c9b03cc31ede4776be32925ba
BLAKE2b-256 02ba2aaafacd23220dee9981595a93e38c7efac0758bc2973cd19078cdfab87f

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 2edc60b919b432fd0c851e3ceba29e207d7a5bc6596877cc4ad1480c6a73a4a3
MD5 9731ffddf4bf77cf5c64817bb99acc62
BLAKE2b-256 af186d7a8955256e3af98eda7960f0862f9978030e999512ef2bed105d27aef4

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-pp39-pypy39_pp73-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-pp39-pypy39_pp73-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 7c7040c4ddfa57652bbeafb809139ba64311a041be9bd1ba201cd2a6da903a13
MD5 c3882da2f868bb92bc13a9e224270efb
BLAKE2b-256 2d1a2bcb34529ea13532af1dd82728e66bdcea1c276f18cbe568cf371f939d03

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-pp39-pypy39_pp73-macosx_10_7_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-pp39-pypy39_pp73-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 009af4e306d7e91a6a90189ba76af02efb4e94c235eb2c8387b6d749ac3e3560
MD5 c9e4379b89e047f414c4ba81aa8513d6
BLAKE2b-256 3ff6b80ef3116006ec16d7b98d6804c109638d0768054c95c6cfcc9dc825a2fa

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-pp38-pypy38_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-pp38-pypy38_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 17c22cd9b448add2a7b8b3d9056372141536cc428f149ed4e6a7e11118e6f962
MD5 d9c80c0095e5562c6931a756c6a654f1
BLAKE2b-256 5c41a342ea247275d53807c8068b92489ab936cd29ad08e07725c61b404dde0a

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-pp38-pypy38_pp73-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-pp38-pypy38_pp73-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 626de4fe78c1137a03576e51e4e38fbfb573879d3e3bdcd129682137515cdfde
MD5 08ce9bcd13234da33d8e1409264636cf
BLAKE2b-256 4d822228c5e297a5a73ea9281e43056ef75bb0d4cd05c3577d34750ad4096afd

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-pp38-pypy38_pp73-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-pp38-pypy38_pp73-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 cfa914405f69d4082d81e240dc78ec870104e3520e6fcc57958ff598992f04c5
MD5 1e8f6a042606145149e3c64da6196021
BLAKE2b-256 cbb0730e497694e0bc41c6831d49cc0f9dd13c715754417ca4ffbc4b097b6b5a

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 d7dbb7d32247c233de0814453824d6452a805cb7c1619616fb07ba00268de500
MD5 22b9382705ce5895d933db5925ae6c44
BLAKE2b-256 081dea7fcd3836cbbaf93cbb883973cd2c2754eac979bb2bd65113c64cb0037a

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 f8137281920fb5dd6283af721092500b203c596d307056ac8890591c9b9a4571
MD5 aefd7bf809e9f066bd8084fa8d3d3795
BLAKE2b-256 bdac07a871edf79736c6a41b9fa014a0046c41b99ba11db530efac01f71b52e3

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 ff786c37c7ae9ed9c72c766644476e310091f39ac60983ccd9eaa82a1e15b886
MD5 abdfeebd4db35e7f00128c9af9734c68
BLAKE2b-256 200ac68f8eb6e0c0c16b74f0a078e4aff0603f5a7e31110b148b5b7797b3d302

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-pp38-pypy38_pp73-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-pp38-pypy38_pp73-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 b73b601fe67f168f4165913d6a98fc9d9a7d9c75b31c67aa968cff2e4a0ef42f
MD5 cf4a46eaa07b8e51224eb61c1a6d091a
BLAKE2b-256 3c2fd95bd328f21f82d662e0dfae98dd11c56f82019ee733c2c9b48293f506da

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-pp38-pypy38_pp73-macosx_10_7_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-pp38-pypy38_pp73-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 0f293a4ee9483b78eeb27328d5b6d3848b6528b1224a36973197bd6cd1e74471
MD5 11e3f175c8f797d92f0f3952ca75ff07
BLAKE2b-256 b3a1c5126fb463eb4fee0d5404564df4c3e6f611e3b06ccb877fcfc0099686a8

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-pp37-pypy37_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-pp37-pypy37_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 7dd48cbed9586a65103cf49edd14ea6aa5112e242ee01ee405a50f596f0f0f5b
MD5 a80cfbd891403513c157d8ed8530b522
BLAKE2b-256 bd0752239aade451f269690a85f9e6381b6499fd0a93080e846c1edb6ebc3e80

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-pp37-pypy37_pp73-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-pp37-pypy37_pp73-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 f046853bc8ba37132b2d1b66a4f8ed7a4d447418d8e0b5ee85ee0a574fc630c7
MD5 6758ff43134f9ecfd27acc95469d72af
BLAKE2b-256 2dc015fa5aded5e53b33e90c2e7383e35fd8d0b4a9e1a3dc1e01bda3fc71d0d0

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-pp37-pypy37_pp73-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-pp37-pypy37_pp73-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 1f3782130ba0d96e2911e2d4d02a2324fd29c2a439ca329e672cad6ac9f52e92
MD5 17939cf649ed4ba3ae213a7bf8f4dbf9
BLAKE2b-256 de8fd47e42e82b3c58410f99ff3fa952f11ebb4cec90859bf752fae48f7b3d3e

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 6ccaaff9bead2285a0ce210113468673b39968d0d83de0187930f442948d641b
MD5 d026f20df570915a350478a7b63a8f29
BLAKE2b-256 c4e90a6be37d1c220e4778b1b2c8a057b7f91817e1eb7a5f775e79e69a81e90a

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 b63b1af437dc40fbccca9466baa3e27594666839290d22a7969aa67665207527
MD5 33505ea914257ee17b629c313db226cd
BLAKE2b-256 332b6f67128cd564406d9c2664632c8fc382a1f779014df032358c3344d889b5

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-pp37-pypy37_pp73-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-pp37-pypy37_pp73-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 ca9b020d37503078b562add6ad574777fdb45dfa63855981689bd41e08b394af
MD5 30249dc77e8c5a4c9a97903e6c649c01
BLAKE2b-256 c4967f9df18c406ca786c5037cb05f7ffd7cd2a8a2c41dce8fee092e12df8f4a

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-pp37-pypy37_pp73-macosx_10_7_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-pp37-pypy37_pp73-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 4110b0ddc9ccd76f677a02f7eea6a90e1fbbc7a094dcf8d9e19574b97e491eb4
MD5 33a8aafe248d64ea6e32a89d00b4eeed
BLAKE2b-256 c956c19c3f65b4aa65079ca02c2c02e6b4fabc34a7af536c89bb93d48ab8795d

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp312-none-win_arm64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp312-none-win_arm64.whl
Algorithm Hash digest
SHA256 b33a142660b4b94f07c12a5c23dc44622562878715cb4eb5973e00aa579e4f4c
MD5 a3d993caf01b09a54be9e64d89d9bcde
BLAKE2b-256 a9e7a9d59eca0aeb820834d730cffe24bd8b31a11c33b70c271484f333bd62f4

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp312-none-win_amd64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp312-none-win_amd64.whl
Algorithm Hash digest
SHA256 08ace19ea2a3c31940a997c29aa14737d1ab1998ced7b739080ac57efbfd0307
MD5 0e481cdcb7c31d2c868208b85cdb17f3
BLAKE2b-256 2605d6dbb220c5a71a0770c52e295ca2c8ffc40bfe0aae2381a40010cb99213f

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp312-none-win32.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp312-none-win32.whl
Algorithm Hash digest
SHA256 ca6fd36e6c80689b911dd33b72625165344b5fe81fd324c738c593e033e78c3e
MD5 b2dac40e10e5fadb1ccf39cc3c1ff5d2
BLAKE2b-256 eb930d72fba9e2b0563c34948bc1f0d532b284dddff0bac7c00d8d61a733d4b7

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp312-cp312-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp312-cp312-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 350e137a967df18643cf56153c4da36a0bca67217175f02d443a2b300f8f602f
MD5 85f963da2726ad407df8479c809798a2
BLAKE2b-256 d214beadeb387a37689a01724991ae190b532d93df65c50cb49acf4b5ac0d23c

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp312-cp312-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp312-cp312-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 573900051536d035d956fe34513570b248c291ffe21da3a70105280f5bcf2f0b
MD5 aed6b163924e57f28552d55faff53676
BLAKE2b-256 af5df9e6020bb5d98088cf4db3ebecd1a7899560b8706682fbf8da0f27c1c0f4

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 a22a94e891af4ee8175a67bb2fa314c618cff7502911b911c5d06e13bfe9e5dd
MD5 09f7fdb8a39abae3a505d0fc6c5f1570
BLAKE2b-256 503a5ec4e1befd87ef29ce0b13a92465c843416afbd17350178726a1b7e85a3b

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 49acae7cefd5527452b52796cd7080db16500c63a94f1dafa3000e37656ad3f1
MD5 14de3820b359ff640614fcb526d24e96
BLAKE2b-256 377e6214e0e23b3858a047986393c4104aff6509fef20c0e4f3b429208f1f3b3

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 28b9aea07f4be202d2bb4d5129fe9bb908579d1e7de357ad7a59cc67d97b3100
MD5 9832ff6556306f9fb9f4dd1d465db239
BLAKE2b-256 9500f9f9aadd3015e166cd52de1b160d0ced70fdda79662f1e14058cd221d21b

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 ab1da966625f018fd5f10c566ed49113ea05b37a197d8e79ca997982d7e9b9a2
MD5 9eafc7237592137e0fa8e5e3383836f0
BLAKE2b-256 ab609e03377cc2f4e9ad9a074630af57a7ca4663853b9de2b1c9e1ed6ea6647b

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 992ed1cc3b0bbdce0bf775cce3a55029bdca6a512f97bc6f049a36a4b26bb468
MD5 89c770e7843011b8294e424d9d0f986d
BLAKE2b-256 f3be0c667c29aa3b48cf47b38fe8b36f33c407f3caa47c652626c47115901dad

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 c51b42b218892c304ffed90a9f84e00f1e34f9ae31dab105f13a1607139b3112
MD5 0d37ffaccb61fa417ab3b4b762b8ece7
BLAKE2b-256 eac14d758cf690e6ca423c0b10c72ef77808740a8f4c95860a2cc3ebdb6910f3

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 24c797a056290d675e5996f92f8c9df6d12bc7382b7572953cf376d46f5296ab
MD5 904f51e48ea4ddbbfc2602c240e9869b
BLAKE2b-256 a2efd8d1300cc8716f681bba75ba8f9627d24254f28c5bb6319b0eb233b4a711

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp312-cp312-macosx_10_7_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp312-cp312-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 b1b10ab5f5445c84725a3ecfbabeebf9d146fc9228c303cce8028097d09e13c7
MD5 abcca31021c2a871bfb43540178fa4fb
BLAKE2b-256 d62d905361669abfbd2777d7981d2365342e480d85f622725927672746c69f79

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp311-none-win_arm64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp311-none-win_arm64.whl
Algorithm Hash digest
SHA256 a27c97318b02ce75d02bb3d78a2a465eb536d1b6db910863a039ef7f1d93b13a
MD5 dc23e48ed9ba578eedc7e1083baf77e8
BLAKE2b-256 5840637a7c17d1f1d9215339e68188140afc172fcd205f89f76f615fb058309f

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp311-none-win_amd64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp311-none-win_amd64.whl
Algorithm Hash digest
SHA256 0321607b585db728e16f10b5bf0680afc16003248e01c094e7d30519d04214cf
MD5 373753968ebff41023657024d4276a8d
BLAKE2b-256 4677ed58d908c177ef3e02ef475ec655e41271932ddde904b08035949029ab59

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp311-none-win32.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp311-none-win32.whl
Algorithm Hash digest
SHA256 878044e22205c9c07c79f9491e1b1968a4429d5af3b7ab42a0be026776024163
MD5 05d27742392de5f5a379c71dd9c8f6b0
BLAKE2b-256 3aaba883c62daf8ef907ba570f781f3be51c0b6aba05c28d607970b0141d6847

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp311-cp311-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp311-cp311-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 f9a8dedb1453e95efd7283645e2885def5ce83a16f04c84baeb61e6c67e9a634
MD5 4eeab1d8bc97d82af82f4061c68db24e
BLAKE2b-256 c5b1f303e07fc341a18774dd5b8091b9becbd5f7efb29ccf57327d2b6ddae45f

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp311-cp311-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp311-cp311-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 0dd26c650744609a76a28ffd37fedd3c486a050c4afbb9c703a01a054acb8e03
MD5 e37f7b3bf085aaf88f8167f5e4e4ddfb
BLAKE2b-256 ab30295046a76f2cecd16f97a3f9733395841359bac5bc8108c5166339122fe3

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 595d3f868e6a35b74d05fe24a9acd67f79fea7dc1c571b9290ea1654d3cc02ec
MD5 34e3464227db4fa8ec5d131ef50b4a7c
BLAKE2b-256 ad3dbb5423d5df15e6669f1848419e3d1772d20f216bdad492fe55f54092dae6

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 6f66fd7587b96e16872a41de2cbfe67fc4db0458970a672b6ec729f10e25fa16
MD5 fef4d7c08b5c90ca60fd1db6e9ea5a1d
BLAKE2b-256 68cc2e613ac7f20b4f79c4bc0a64523c1ce14fd585daca2cd72a835b92f33e74

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 56f547ceef92fd78f18335b4bec5a83410c0bd61ec29acc71a298e55cb9b9ad5
MD5 44cd9b525bafa7f085e39618bfddcc44
BLAKE2b-256 d14495c74958af6808a2c2b148421dd300598ac0c2edd71fc9c4cf58f142655e

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 bf5fa9b4f184869aecc06631bdfc37011fb4536fe4f750fab2824bac5d1301b7
MD5 a548037f6cf30e55ce6e2df2c46e34ce
BLAKE2b-256 a3b2deea5c5f9523cfbae7ff7bd74830506162e3a014304fe0fdb5f492e05759

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 a922b863d74f2f23ab2f7a1e4bbc29e4966f8e8352e6f13e8d22c7308d3cb627
MD5 095ee2e51caaa34673422c67f2e82b86
BLAKE2b-256 a1a296cbea8f84d51c8b7a0a49636003fe0889ead036aa16397093a3e873eec6

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 55391e843e6e902eebd99a1d5f079edee54762095695826ba21237971419d699
MD5 5a2c5ff9356a4a35eb8beec2fdd32a73
BLAKE2b-256 0078c033a38ed9604a2046a03730508f8562304eb445758d53dbca0aa4d1f45f

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 6331dfc56dbe91299c91b1ee473196b22e3e5ea3118d1ea9202c3774a8dd565b
MD5 5723e23bc755d082480ad45db9253e08
BLAKE2b-256 cce988b5288293e429af91efaa131780e3cc94b2d2d3aa0ec4eb51846db73eb3

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp311-cp311-macosx_10_7_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp311-cp311-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 5cb5b77fbdd0cdf39c48f7ed32ea8b02d77af1a949ed319b10c71c4f1b9c1e30
MD5 45d397c19ca5665feab68f945e203141
BLAKE2b-256 5a96cde23441ba0afcb88a5684adf9eb135a9e69712cd81d7bd4b4407430a7d5

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp310-none-win_amd64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp310-none-win_amd64.whl
Algorithm Hash digest
SHA256 e6f95ab27277866558359c89ce950a99217a5b7eb0f86cb4063c3727b9e7e22b
MD5 bdc877f456ae156aa696795e44e1c6a2
BLAKE2b-256 309acfca1663b1ce7929da7c1275b501a8845eac9ffaafb0af001e65fb9f2c71

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp310-none-win32.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp310-none-win32.whl
Algorithm Hash digest
SHA256 69975948eb9c9ddae65afbb78846cf0a2c9b476af84a05d3ad1e451ac091a5f9
MD5 83c722762cf256fe81c89cee5dfb0826
BLAKE2b-256 87f60496db46bdcd5e00097fcfccfa44ab15520783bed9f1a429f8c755481808

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp310-cp310-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp310-cp310-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 b980470ce80709c8db6cd21cf20ae03ee0c152a4d8e69cf07eb0dde714ad9d96
MD5 5e76fc9c6ba7c0c2ee009bb02473ef70
BLAKE2b-256 f5013fd62969a9550e1d58526dbb4eaf44682a6722096ae197dc60ef02b38cd2

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp310-cp310-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp310-cp310-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 7bb567315b82c66a2fe47accc61b5ec8842627e8dce027c56783c3152ae556dc
MD5 3ff5e5a90861dd27f77520e7e20ab512
BLAKE2b-256 1fcb107dcd61294a7ad6534e871d87b0e3df74594d58f4fd724289aec7981ad5

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 8182028c05739c60edc2b93927daf1d96c0f53f3175e247bc20d2bed1967a445
MD5 36e70bd505febd0e8c68e17798a099bb
BLAKE2b-256 10ddc705ec5403a2dbd9a7928ed3c83d5a7dc50d765e700701bf0579920a2a96

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 7dea4b9856d69a0d84cff98b5c4898387e3f1df3d15210b8ddfb785ddf29b1c8
MD5 f3d2a29281c0dc021952e342f354e08c
BLAKE2b-256 f308ed4dcda3d82b06bf48617ee77602a77e6f79fb74adb44490b0becae750d5

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 ba8af89328b7d89e1a637b8cc9b79911a4ac57d6d29f3882211a4f5b5923eb26
MD5 e71cc4176c789d6c6d9ced906247ed24
BLAKE2b-256 3869872767fd1c3b031a9b66e67a375b6d16375bc2ac5b500d3c8a64df8c8c90

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 a866adfaa572f5c506f93e55f9ec055f9c131a64ad892a48f3e0a6de594b95cc
MD5 08cd21e63a0f050a9ac13034530f8c89
BLAKE2b-256 c9c5d2231ea11843f81f772c17dfbe0ae0f427ddad62e58600e4423136c8a82a

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 2e9078527cf5a39d834a1b2d7698581995d3b9dd0e805bd08ec73d6d3a60a23d
MD5 c2250b8f7a46d72ac9f592b202e8cfe8
BLAKE2b-256 84d2bec65675d635d59144105fe29903ae91f2225f618ae186413eb433fd71c8

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 794ed20efa7688375920fbaf7927a8e37c794c4532266b693e7958669401f7b1
MD5 a87e11ebec5c69f36237ccf8e75b1e3f
BLAKE2b-256 751b3e2ffc619a694cea25bdbc56bc2ed52ca315c9ebc621aff4b68658fe4543

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 1536fad5dcdb63800bfc891671861068d6fbff1c4e6365ba955626453864ce09
MD5 9e6d5fbe74691e3e1814f5b0fb2a0c57
BLAKE2b-256 1f6790459742b08f90586c5e66bd2be6714bf78b5188aac55fa74d713f1130b6

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp310-cp310-macosx_10_7_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp310-cp310-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 9bd851ff21e790dcb0b764d79b67bee68165c9f01c9bc445b1e809d491dfc762
MD5 97ea21ff99ef730ea539fe55f4f041b0
BLAKE2b-256 deb3c061960a896132d1aba1bdce1e10856689186353a72110a9f3689f639c8f

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp39-none-win_amd64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp39-none-win_amd64.whl
Algorithm Hash digest
SHA256 568e8fb41b85789a8363a3df4523ce8e45e7f9ebc55a1a08e578c9e9c1cc5b55
MD5 fc2e277e884635cfbeb58f8cfe959d97
BLAKE2b-256 2d607cf0c2571e213d3bfc220b6631ec078a4d1708e9aeacb5e332630239f783

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp39-none-win32.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp39-none-win32.whl
Algorithm Hash digest
SHA256 774ade2eeaa6711ec59f68e7c04b599713808cb701848b1d93a8cdf7bb853d44
MD5 71fdf2c3cb223ba2df50dce757d99fce
BLAKE2b-256 69261a547d98e07d9a9ac4cb4291dd3abbfb6a600da9fc4394290b57abf05178

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp39-cp39-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp39-cp39-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 686a1e2148e52ecdfee11ed6fbccc428298df5910f03fa9c246a659840064366
MD5 c15d8d40bfa79856244e85952ffa7ff0
BLAKE2b-256 160ce4445b9a181ef575cc93fcd9b3031156095cb386c90b2b141096438bfaf1

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp39-cp39-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp39-cp39-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 cc560a95683a535b17f7b551035e0c3fc5f0b1f033dffce23a4dbd55c665d7be
MD5 f6c2ac2fea7e759a0fc85c7c95257309
BLAKE2b-256 d297272d68dba04124e4a3835cf0bc1cfbf57ec0635eaea9201cba1ae7c42219

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 312b703d6e943a48ef21894514c165e6f69875e4c73cf4051cb7f8e5b41749b1
MD5 edc5c8b0e7a6e94d12e9f7be2cc5ff78
BLAKE2b-256 6628be9a21d38dab4d94ccd89253b11807a755ecc594b032d97a5cbb6e396005

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 b0b070040da74a0d2af2a8136f57159deab9b4fdc69e25189fe680c5de208dc6
MD5 07242a64a245907834f75b1bb8637d81
BLAKE2b-256 90fac5264e2c1131f521813247c46caaaf1c55ec068aa150bf8af4ecb514e963

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 01faff90ded5dd6f8c4d165b9ac574aa8dd0f11b0942ed6fac980125766d9d0f
MD5 3a0f89885837302fb6bcdbb1727dcffd
BLAKE2b-256 c2d74dbac5129ba0b1851a4f7f18efa3bf8736a5ecf3af565e870ee32b065664

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 4830dc50cd6366ab956ea895041a69416b9fe39e573894d062cd1dee3483c9c0
MD5 3973aa2af76e044cab02b0185cdbc6f1
BLAKE2b-256 ac48a4f8ccc7200deb83f58f9975c37eb5ccee06b82acacac172db2f37ee9ed4

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 7dff3f8a2b7ad001a88e378632548beac014827c0167393b9bf63fae69353aff
MD5 072b2552c2cd9e03d4d48c7910a7e3c3
BLAKE2b-256 0f14ac4255c94d93e987ac89ea5a09e71122339e63d485ff7d02abbb789eeaeb

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 3b7c8a2f31fb4077ffbf0680fcb6f51b4ba39870a0ef8f2182f8094396c0d2dd
MD5 2c997d518e7b86918aea4745b2ed94a5
BLAKE2b-256 9c387045bdcd0fd490de5559faa35da6f0a005b9390192b9346dc0e14b0dc89f

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 63f351d57e98c765504deb5f1e19e9b8f3d9a995dc205be3c5f27e008ba41f2d
MD5 f4acf7041747b48e69b44a923b86648a
BLAKE2b-256 37c9cc189c1ed96765de3643fe1acf5bcc1444cd4da415cb794357dea5fe65d4

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp39-cp39-macosx_10_7_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp39-cp39-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 08b548f6db2a9bf73159c8dc33f8f66af68596e11ce5547976cedc3c21762380
MD5 5651909962928fbe4ab62bdd6331e2d9
BLAKE2b-256 d64f894d7d602cb74449e5d1f669782ef2509eb7d96a749baf17cf32543de7b3

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp38-none-win_amd64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp38-none-win_amd64.whl
Algorithm Hash digest
SHA256 b709e7c0bec8fdb311d4dced8644b080e5049b918c37a9b81857e250a0dcbea8
MD5 1bfb92dab52438c25fa8909bb92a2974
BLAKE2b-256 08f34e1174b6de37766e0f303c0ea3ab257ea6d5dc4e1c1e4ebae9ede1581298

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp38-none-win32.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp38-none-win32.whl
Algorithm Hash digest
SHA256 b14ed390bb7b3ec732ebda6fec56d2c4abad63ac33743aaba764b966848bb440
MD5 c7c91afda6b045333ded534f5d09888a
BLAKE2b-256 0e3320351826bd249ea28d989a55fed7650cbe5d8a5c24fe1bcf3906ddf24378

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp38-cp38-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp38-cp38-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 bc69418fd403752baec9689c39997d5cf65e2fe89075625a2506cea7651401f3
MD5 033b9e71d9507ad154a3f5ebc331fe9d
BLAKE2b-256 8ce844f187be8a93da4f0bbefc7c83483c40fec13ad9c8cbc9d2b38c2ece011c

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp38-cp38-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp38-cp38-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 1ae7d15ce96ae26caa0fc7fe47ad2e36f7a4c0d051031238734b564d90005611
MD5 b780cd3912a70f0ecfdae9fb6e09a693
BLAKE2b-256 fb0bf59f943f0380108bc45758bfc96f5018896247f0360fca90a2c93a8783b2

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 5c21d6364f2ce158aacf655419ab2df226134534d45e71dd302dc64e77c56d73
MD5 00d496cfd43f853c9f01a7f40f70024d
BLAKE2b-256 1062100f96cc368e075e81fd2d959447fd341135b58fa0935d2ad6dd8b048f68

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 39a7432cbe32e416b169275a51dcbaffd69a3ca1e0bb802c1140796730416282
MD5 742b26cca63f07514cb10b442bc0fc69
BLAKE2b-256 b9a0b74c81758b0c372db2d5854d89d38acb4b81d507fcfa21e82d5a3dcfd077

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 6359b042b21d6744bcf389af17dff839f7cb1d826ac3de42fb441d8733cead7f
MD5 22e86cbc7fc0c4500012b3755ffdd903
BLAKE2b-256 3bc2374f6379e1c95c43a089011f2cb5c4ba4a4c2f1c46ea073c55561c01dd39

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 b3489699e0b6b16ca885a9f14a0199666163b25ce305e9ce74dee5c8bc9b7ab1
MD5 45e384a7ad6a1a3e37bdbdab0e013128
BLAKE2b-256 c9ff3f3ebb663fd6ec2e74bf557a7186caaba84afd1524b8dab6b4d6911607ed

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 8afcc77ddf11cf433c5aacd6cf31e1a8a85afef67a279efcbaa6c9df7eb6eb80
MD5 c6f16cde319fb80be8089bf60c2306a3
BLAKE2b-256 300ffe2492f52f76ed22193bcf784b0df46c3e38fe081c4f57c043843e0bdf3c

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 9369c9a6207da0d72fc1d20c91abd9f8991ca3e9ca55774b611cc9e451191633
MD5 861c50c7beb877ca4f7e27cc4dc6c474
BLAKE2b-256 64847c84055f54ef1fadd10332c374f0f697233148ea5e3b64b96148f1c735a3

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 5c1e66155f7a6a0242939e7f31fe7ca97a3ae03f4f45cf5aaa87380a4b98d05c
MD5 d70068b222ff91461fd59a17c49cfa71
BLAKE2b-256 f930009672ffb7fcc364b2e7d8daaabde9dd732ef6131062e9d31d36cc28864f

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp38-cp38-macosx_10_7_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp38-cp38-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 1065546e9c3b756fa11588556adbf518e3f09302f6a503b7f769e5a8056479c0
MD5 7917eaf267dbe09772d6644f1f489d74
BLAKE2b-256 fb5f32817c52a9707104623c92cacf2dc0a36fe10f0f0405cd5ca84da0bbfc74

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp37-none-win_amd64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp37-none-win_amd64.whl
Algorithm Hash digest
SHA256 83f6b84ebc35db7ef76379abadfa973ef06f847ddda0329269e40376e3a9392c
MD5 4be2b77abda54ff161502c3c9b4d42e8
BLAKE2b-256 32f9897813570ebdc70c51e1222b11b8eebeb8b35800a216959bdb07ebed716c

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp37-none-win32.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp37-none-win32.whl
Algorithm Hash digest
SHA256 c6119b542379d01392e74f2e1502e5d5091ecaab05a510905607eb549a36441a
MD5 9c79e05b4e657d817761420bfa45039d
BLAKE2b-256 ee1e405a178f9c940bb4ad275dfd52a93560b45e1962c59e6e29905c0392a939

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp37-cp37m-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp37-cp37m-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 dcb9a7c784a2c60e3432b31fa2e0d4901ba0c2bb10f96b90aaaf72431d74e269
MD5 69987039ecba7f5dd0c08d5743784484
BLAKE2b-256 b813feebf4b755fc19799fbc3bcb142cf5c395cf8dd47251b951883ebc8f21db

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp37-cp37m-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp37-cp37m-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 ce03e58c964d43e7eb9b8e162c09f383448deb9f47b173264e4b467c470f954c
MD5 6f14d8edc21eaf1d7dcff7f6a8e53395
BLAKE2b-256 99aeddf4d16b0ec9ffb00457ec7059125534d070ce6548315d0924d65787b826

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 795bca6d2dc418ba7c216f267f7fbd193a553e48d88e146e65128e3a81226e9a
MD5 2d09a2af267445ab970658b3db1f091d
BLAKE2b-256 210f9665f98171c6b722e089fcc66f502a09e5587113133a9327e1dcbb98fd59

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 e49bfc67555d9de6e6ec30be4c8dbc43e84e2c1fed9cb9f10bdc495620796330
MD5 96087ff2b61885aebe88628977f70d85
BLAKE2b-256 57e029c04058318a8f6c72bf7b5eb6e9d817736fa0aee24f25cf5f14983f4c1f

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 f69e839cc026221f8ca36bc620ee7d8be4e91d7ea8ea15180dcb83badae16332
MD5 ee5009a9be0cbfda5dd1745a84fdc2b6
BLAKE2b-256 e7b15fbf106f5510c86c8f947bd4d3fa1931e71ceb7f992d0a9c1889f6f70142

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp37-cp37m-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp37-cp37m-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 c7be3d065dfd1b023255e220ed8fcbed59887826d41d30fe88bcfbf05a4e4e19
MD5 c12c98a20320c9f585ff78123668f2ae
BLAKE2b-256 fae2b5fd819ab8d47e42ed1ceb30a82206cc1acc2fbde89b0d482c902a4a01b2

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 12d4c2458d5dd45ae62f2128a118b269776e321e373e1f430f9b662f97ca7a56
MD5 90f5946a1aae6fcc27abb4d4e057ad10
BLAKE2b-256 822d80ab6d309b76e7b7eceb512fcc8131b35e56400dd9d1cae2414b10c3b2c7

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 9a21c6db34121a507fecd1aa7d16ab18eb8a21c086ddcb956c70acf2c2a8f760
MD5 4f1a984433f47da82742549828f3203f
BLAKE2b-256 7565615b2c6f007d862af9e69cd09574cb7b270a5ca8adf63475ccdf9a555a81

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp37-cp37m-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp37-cp37m-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 7b93d33da7cb64d7456654497f21bb18e54b9fff3c1824a73e0799c9f805dfc4
MD5 9d9314ae1155fa15a13266aafab36ad5
BLAKE2b-256 6db035591424a923d03e6afca0452808f890857a1b8034ff7113b523fe7a7694

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.12.0-cp37-cp37m-macosx_10_7_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.12.0-cp37-cp37m-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 872ba067ce1e15103bb6705aff349e9f3a962fb3e9c3536ff2d20d340569b1cd
MD5 f91d82cb3d3c43a4193009e675bcea6a
BLAKE2b-256 f19e98bdb7c016e6eb5540d242a11eb5ca0ab2a71d45b6a3a5d34c1e49503cd7

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page