Core functionality for Pydantic validation and serialization

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 >=3.8
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 3.8+ 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 >=3.8
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

This version

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

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-2.23.2.tar.gz (401.9 kB view details)

Uploaded Source

Built Distributions

pydantic_core-2.23.2-pp310-pypy310_pp73-win_amd64.whl (1.9 MB view details)

Uploaded PyPy Windows x86-64

pydantic_core-2.23.2-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl (2.1 MB view details)

Uploaded PyPy musllinux: musl 1.1+ x86-64

pydantic_core-2.23.2-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl (2.0 MB view details)

Uploaded PyPy musllinux: musl 1.1+ ARM64

pydantic_core-2.23.2-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-2.23.2-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.8 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

pydantic_core-2.23.2-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl (1.9 MB view details)

Uploaded PyPy manylinux: glibc 2.5+ i686

pydantic_core-2.23.2-pp310-pypy310_pp73-macosx_11_0_arm64.whl (1.7 MB view details)

Uploaded PyPy macOS 11.0+ ARM64

pydantic_core-2.23.2-pp310-pypy310_pp73-macosx_10_12_x86_64.whl (1.8 MB view details)

Uploaded PyPy macOS 10.12+ x86-64

pydantic_core-2.23.2-pp39-pypy39_pp73-win_amd64.whl (1.9 MB view details)

Uploaded PyPy Windows x86-64

pydantic_core-2.23.2-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl (2.1 MB view details)

Uploaded PyPy musllinux: musl 1.1+ x86-64

pydantic_core-2.23.2-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl (2.0 MB view details)

Uploaded PyPy musllinux: musl 1.1+ ARM64

pydantic_core-2.23.2-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-2.23.2-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.8 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

pydantic_core-2.23.2-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl (1.9 MB view details)

Uploaded PyPy manylinux: glibc 2.5+ i686

pydantic_core-2.23.2-pp39-pypy39_pp73-macosx_11_0_arm64.whl (1.7 MB view details)

Uploaded PyPy macOS 11.0+ ARM64

pydantic_core-2.23.2-pp39-pypy39_pp73-macosx_10_12_x86_64.whl (1.8 MB view details)

Uploaded PyPy macOS 10.12+ x86-64

pydantic_core-2.23.2-cp313-none-win_amd64.whl (1.9 MB view details)

Uploaded CPython 3.13 Windows x86-64

pydantic_core-2.23.2-cp313-none-win32.whl (1.7 MB view details)

Uploaded CPython 3.13 Windows x86

pydantic_core-2.23.2-cp313-cp313-musllinux_1_1_x86_64.whl (2.1 MB view details)

Uploaded CPython 3.13 musllinux: musl 1.1+ x86-64

pydantic_core-2.23.2-cp313-cp313-musllinux_1_1_aarch64.whl (2.0 MB view details)

Uploaded CPython 3.13 musllinux: musl 1.1+ ARM64

pydantic_core-2.23.2-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.1 MB view details)

Uploaded CPython 3.13 manylinux: glibc 2.17+ x86-64

pydantic_core-2.23.2-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl (2.6 MB view details)

Uploaded CPython 3.13 manylinux: glibc 2.17+ s390x

pydantic_core-2.23.2-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (2.0 MB view details)

Uploaded CPython 3.13 manylinux: glibc 2.17+ ppc64le

pydantic_core-2.23.2-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.8 MB view details)

Uploaded CPython 3.13 manylinux: glibc 2.17+ ARMv7l

pydantic_core-2.23.2-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.8 MB view details)

Uploaded CPython 3.13 manylinux: glibc 2.17+ ARM64

pydantic_core-2.23.2-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.whl (1.9 MB view details)

Uploaded CPython 3.13 manylinux: glibc 2.5+ i686

pydantic_core-2.23.2-cp313-cp313-macosx_11_0_arm64.whl (1.8 MB view details)

Uploaded CPython 3.13 macOS 11.0+ ARM64

pydantic_core-2.23.2-cp313-cp313-macosx_10_12_x86_64.whl (1.8 MB view details)

Uploaded CPython 3.13 macOS 10.12+ x86-64

pydantic_core-2.23.2-cp312-none-win_amd64.whl (1.9 MB view details)

Uploaded CPython 3.12 Windows x86-64

pydantic_core-2.23.2-cp312-none-win32.whl (1.7 MB view details)

Uploaded CPython 3.12 Windows x86

pydantic_core-2.23.2-cp312-cp312-musllinux_1_1_x86_64.whl (2.1 MB view details)

Uploaded CPython 3.12 musllinux: musl 1.1+ x86-64

pydantic_core-2.23.2-cp312-cp312-musllinux_1_1_aarch64.whl (2.0 MB view details)

Uploaded CPython 3.12 musllinux: musl 1.1+ ARM64

pydantic_core-2.23.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.1 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

pydantic_core-2.23.2-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl (2.6 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ s390x

pydantic_core-2.23.2-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-2.23.2-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.8 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ARMv7l

pydantic_core-2.23.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.8 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ARM64

pydantic_core-2.23.2-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-2.23.2-cp312-cp312-macosx_11_0_arm64.whl (1.8 MB view details)

Uploaded CPython 3.12 macOS 11.0+ ARM64

pydantic_core-2.23.2-cp312-cp312-macosx_10_12_x86_64.whl (1.8 MB view details)

Uploaded CPython 3.12 macOS 10.12+ x86-64

pydantic_core-2.23.2-cp311-none-win_amd64.whl (1.9 MB view details)

Uploaded CPython 3.11 Windows x86-64

pydantic_core-2.23.2-cp311-none-win32.whl (1.7 MB view details)

Uploaded CPython 3.11 Windows x86

pydantic_core-2.23.2-cp311-cp311-musllinux_1_1_x86_64.whl (2.1 MB view details)

Uploaded CPython 3.11 musllinux: musl 1.1+ x86-64

pydantic_core-2.23.2-cp311-cp311-musllinux_1_1_aarch64.whl (2.0 MB view details)

Uploaded CPython 3.11 musllinux: musl 1.1+ ARM64

pydantic_core-2.23.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.1 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

pydantic_core-2.23.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl (2.7 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ s390x

pydantic_core-2.23.2-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-2.23.2-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.8 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARMv7l

pydantic_core-2.23.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.8 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARM64

pydantic_core-2.23.2-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-2.23.2-cp311-cp311-macosx_11_0_arm64.whl (1.8 MB view details)

Uploaded CPython 3.11 macOS 11.0+ ARM64

pydantic_core-2.23.2-cp311-cp311-macosx_10_12_x86_64.whl (1.8 MB view details)

Uploaded CPython 3.11 macOS 10.12+ x86-64

pydantic_core-2.23.2-cp310-none-win_amd64.whl (1.9 MB view details)

Uploaded CPython 3.10 Windows x86-64

pydantic_core-2.23.2-cp310-none-win32.whl (1.7 MB view details)

Uploaded CPython 3.10 Windows x86

pydantic_core-2.23.2-cp310-cp310-musllinux_1_1_x86_64.whl (2.1 MB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ x86-64

pydantic_core-2.23.2-cp310-cp310-musllinux_1_1_aarch64.whl (2.0 MB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ ARM64

pydantic_core-2.23.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.1 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

pydantic_core-2.23.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl (2.7 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ s390x

pydantic_core-2.23.2-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-2.23.2-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.8 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARMv7l

pydantic_core-2.23.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.8 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

pydantic_core-2.23.2-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-2.23.2-cp310-cp310-macosx_11_0_arm64.whl (1.8 MB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

pydantic_core-2.23.2-cp310-cp310-macosx_10_12_x86_64.whl (1.8 MB view details)

Uploaded CPython 3.10 macOS 10.12+ x86-64

pydantic_core-2.23.2-cp39-none-win_amd64.whl (1.9 MB view details)

Uploaded CPython 3.9 Windows x86-64

pydantic_core-2.23.2-cp39-none-win32.whl (1.7 MB view details)

Uploaded CPython 3.9 Windows x86

pydantic_core-2.23.2-cp39-cp39-musllinux_1_1_x86_64.whl (2.1 MB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ x86-64

pydantic_core-2.23.2-cp39-cp39-musllinux_1_1_aarch64.whl (2.0 MB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ ARM64

pydantic_core-2.23.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.1 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

pydantic_core-2.23.2-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl (2.7 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ s390x

pydantic_core-2.23.2-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-2.23.2-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.8 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARMv7l

pydantic_core-2.23.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.8 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

pydantic_core-2.23.2-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-2.23.2-cp39-cp39-macosx_11_0_arm64.whl (1.7 MB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

pydantic_core-2.23.2-cp39-cp39-macosx_10_12_x86_64.whl (1.8 MB view details)

Uploaded CPython 3.9 macOS 10.12+ x86-64

pydantic_core-2.23.2-cp38-none-win_amd64.whl (1.9 MB view details)

Uploaded CPython 3.8 Windows x86-64

pydantic_core-2.23.2-cp38-none-win32.whl (1.7 MB view details)

Uploaded CPython 3.8 Windows x86

pydantic_core-2.23.2-cp38-cp38-musllinux_1_1_x86_64.whl (2.1 MB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ x86-64

pydantic_core-2.23.2-cp38-cp38-musllinux_1_1_aarch64.whl (2.0 MB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ ARM64

pydantic_core-2.23.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.1 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

pydantic_core-2.23.2-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl (2.7 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ s390x

pydantic_core-2.23.2-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-2.23.2-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.8 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARMv7l

pydantic_core-2.23.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.8 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARM64

pydantic_core-2.23.2-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-2.23.2-cp38-cp38-macosx_11_0_arm64.whl (1.7 MB view details)

Uploaded CPython 3.8 macOS 11.0+ ARM64

pydantic_core-2.23.2-cp38-cp38-macosx_10_12_x86_64.whl (1.8 MB view details)

Uploaded CPython 3.8 macOS 10.12+ x86-64

File details

Details for the file pydantic_core-2.23.2.tar.gz.

File metadata

  • Download URL: pydantic_core-2.23.2.tar.gz
  • Upload date:
  • Size: 401.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.14

File hashes

Hashes for pydantic_core-2.23.2.tar.gz
Algorithm Hash digest
SHA256 95d6bf449a1ac81de562d65d180af5d8c19672793c81877a2eda8fde5d08f2fd
MD5 c1a45018af1ec6506614e85909597534
BLAKE2b-256 5f0354e4961dfaed4804fea0ad73e94d337f4ef88a635e73990d6e150b469594

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-pp310-pypy310_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-pp310-pypy310_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 12625e69b1199e94b0ae1c9a95d000484ce9f0182f9965a26572f054b1537e44
MD5 fa585018278948c3add1e3eb1dd75684
BLAKE2b-256 1e7d6e3a460d47dc95cb9b7337cddf90c3b431f348556711aabe633ba576808d

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 dd59638025160056687d598b054b64a79183f8065eae0d3f5ca523cde9943940
MD5 b17050d53f9a067f52c54eb1e3d57f26
BLAKE2b-256 3cdc27968c6096ece1d8fcf235da6af6d5b4d0c7a1ae3c0aef0aa2b9319e96b5

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 e64ffaf8f6e17ca15eb48344d86a7a741454526f3a3fa56bc493ad9d7ec63936
MD5 5e7f26e9ff677a1702f20723e01349cd
BLAKE2b-256 7e9bdaebf4e83e465f099d5ab34382b83c2d9a61025ef928d810e9ad651bea69

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 329a721253c7e4cbd7aad4a377745fbcc0607f9d72a3cc2102dd40519be75ed2
MD5 7b48fa4eb2d6544143b769e707fd12e7
BLAKE2b-256 6f339fc6fabe81331ae7cb049228e8477b039fc0cdabf88ee20925ce9d08f595

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 da3131ef2b940b99106f29dfbc30d9505643f766704e14c5d5e504e6a480c35e
MD5 64edabe36b14dda810b053ea0af5c520
BLAKE2b-256 508b83a0234b40d882fdbe3b37f34646f94b748ba05b7c68a189643fd263c5de

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 7706e15cdbf42f8fab1e6425247dfa98f4a6f8c63746c995d6a2017f78e619ae
MD5 f63e36774de5f6569325030f994a6b01
BLAKE2b-256 493d9ee7397d46f9ad27769642fc85ad9027651619932897d68d617911250bab

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-pp310-pypy310_pp73-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-pp310-pypy310_pp73-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 f477d26183e94eaafc60b983ab25af2a809a1b48ce4debb57b343f671b7a90b6
MD5 0425ca7cbc0509a737712675ef88d800
BLAKE2b-256 82598eef255a6c8df7656a8bf2845d3b59ee3fe118f07db20d9166d4ff27e823

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-pp310-pypy310_pp73-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-pp310-pypy310_pp73-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 e758d271ed0286d146cf7c04c539a5169a888dd0b57026be621547e756af55bc
MD5 38b2a7609c25dbc8494e77bfacdd085a
BLAKE2b-256 33e811e094b026a7c8b9289cd8b7e90eb9d6ce76a774ee67fde7300d1becbe3f

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-pp39-pypy39_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-pp39-pypy39_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 c57e493a0faea1e4c38f860d6862ba6832723396c884fbf938ff5e9b224200e2
MD5 4e5ce66a8efa920cf0d90971ca3c34ef
BLAKE2b-256 6637f1dd40032f04606da68278697b3645e0d8a02e566c4f5b3d3baaa36e8ce1

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 23af245b8f2f4ee9e2c99cb3f93d0e22fb5c16df3f2f643f5a8da5caff12a653
MD5 66cdae241d90bca19151e3cd02d7bc55
BLAKE2b-256 4ac96ce837055553ccfc1ccc495fd634518fa0e7d35d49bc00cfabfef83de52c

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 a8031074a397a5925d06b590121f8339d34a5a74cfe6970f8a1124eb8b83f4ac
MD5 d98fdb6f5e7947134bb64b2b7cf177b9
BLAKE2b-256 eab74abd0b2152490e15a2b68b4fc31bde3325819ee83be0995fb7fc44ccb109

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f087879f1ffde024dd2788a30d55acd67959dcf6c431e9d3682d1c491a0eb474
MD5 cc5372a6b44abce4cada66c6a44ebc03
BLAKE2b-256 968f31979e696fa423ae3f902ac43d46d2fe2b49590b70527f28b2a2627b41f1

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 7ce7eaf9a98680b4312b7cebcdd9352531c43db00fca586115845df388f3c465
MD5 0605d9bdfe1eda7af108a3f7691b775b
BLAKE2b-256 5a1e60cec75a4a385852c8936c867fb53e59a73bb7aac69e79c82e629c0746ec

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 6ce883906810b4c3bd90e0ada1f9e808d9ecf1c5f0b60c6b8831d6100bcc7dd6
MD5 42be439eca03ef799b04ce660291de2e
BLAKE2b-256 b5ef96b46c84a7c6cdd6a687eec3a3c7f23548fdfdccaec93a71e15f485dd04f

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-pp39-pypy39_pp73-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-pp39-pypy39_pp73-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 1eb37f7d6a8001c0f86dc8ff2ee8d08291a536d76e49e78cda8587bb54d8b329
MD5 8ed0d04909b69c571a2e9095011f8ee3
BLAKE2b-256 0d6a505938ce8382f56e53a14fbe09725f336cfdd89d6cfc26dc6bf5f3804b1c

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-pp39-pypy39_pp73-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-pp39-pypy39_pp73-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 5d813fd871b3d5c3005157622ee102e8908ad6011ec915a18bd8fde673c4360e
MD5 2b7583a3d09bafa1c2c8b3d79d769370
BLAKE2b-256 dd1d917f8fbd85712b457ac5ace1092325b95bddf410c579e98bdbfe44548af6

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp313-none-win_amd64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp313-none-win_amd64.whl
Algorithm Hash digest
SHA256 582871902e1902b3c8e9b2c347f32a792a07094110c1bca6c2ea89b90150caac
MD5 eb9900fbda0305df75e62b6fb2fc07d1
BLAKE2b-256 431339f4b60884174a95c69e3dd196c77a1757c3857841f2567d240bcbd1cf0f

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp313-none-win32.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp313-none-win32.whl
Algorithm Hash digest
SHA256 e1a79ad49f346aa1a2921f31e8dbbab4d64484823e813a002679eaa46cba39e1
MD5 ab420d80635fc6300f2b6e876f487f5e
BLAKE2b-256 5cfc7f89094bf3a645fb5b312b6ae907f3b04b6e0d1e37f6eb4c057276d80703

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp313-cp313-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp313-cp313-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 19f1352fe4b248cae22a89268720fc74e83f008057a652894f08fa931e77dced
MD5 f78f03984f8c3554322beb375276237d
BLAKE2b-256 19e969742d9c71d08251184584c2b99d436490c78f7487840e588394b1ce97a9

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp313-cp313-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp313-cp313-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 ae579143826c6f05a361d9546446c432a165ecf1c0b720bbfd81152645cb897d
MD5 4d8a2f919ad99136ea5ae5445bfa4929
BLAKE2b-256 4bef3899865e9f2e30b79c1ed9498a71898f33b1ca2a08f3b1619eaee754aa85

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 5668b3173bb0b2e65020b60d83f5910a7224027232c9f5dc05a71a1deac9f960
MD5 7a62c37b481ffe1acf12e99b74b55e45
BLAKE2b-256 247be102b2073b08b36f78d7336859fe8d09e7483eded849cf12bd3db66f441d

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 6db09153d8438425e98cdc9a289c5fade04a5d2128faff8f227c459da21b9703
MD5 2635764593b54ebc8729700355e71dea
BLAKE2b-256 f8048be7280cf309c256bd9fa124fbe15f730b9659ee87d89a40b7da14c6818f

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 3649bd3ae6a8ebea7dc381afb7f3c6db237fc7cebd05c8ac36ca8a4187b03b30
MD5 aae7e3b2ae0dfd1f348fa0db8fdc7e6b
BLAKE2b-256 104216bee4df87a315a8ae3962e5c2251612bced849e624f850e811a2e6097da

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 043ef8469f72609c4c3a5e06a07a1f713d53df4d53112c6d49207c0bd3c3bd9b
MD5 579ce088121547ba94e87dcc1d47ed4d
BLAKE2b-256 53a9d7be95020bf6a57ada1d5d18172369ad92e9779dccf9a497b22863d77dd8

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 084414ffe9a85a52940b49631321d636dadf3576c30259607b75516d131fecd0
MD5 ed3615b58d317b56ebb3be6b4ebd301e
BLAKE2b-256 8352cc692fc65098904a6bdb13cc502b590d0597718069a8ffa8bfdea680657c

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 1c7b81beaf7c7ebde978377dc53679c6cba0e946426fc7ade54251dfe24a7604
MD5 2ca009e1404a20333b864344409bf917
BLAKE2b-256 9029ba00e3e262597203ae95c5eb81d02ce96afcda26b6960484b376a1e5ac59

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp313-cp313-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp313-cp313-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 64d094ea1aa97c6ded4748d40886076a931a8bf6f61b6e43e4a1041769c39dd2
MD5 0e49028c9041f2efed8c143e8de84f92
BLAKE2b-256 05ac3faf5fd29b221bb7c0aa4bc3fe1a763fb2d38b08d7b5961daeee96f13a8e

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp313-cp313-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp313-cp313-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 da43cbe593e3c87d07108d0ebd73771dc414488f1f91ed2e204b0370b94b37ac
MD5 ab93235265660957f17dba6dae696a44
BLAKE2b-256 9142085e27e5c32220531bbd966c2888c74a595ac35cd7e52a71d3302d041b71

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp312-none-win_amd64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp312-none-win_amd64.whl
Algorithm Hash digest
SHA256 e1895e949f8849bc2757c0dbac28422a04be031204df46a56ab34bcf98507342
MD5 9fb0d5efba570cd2887cc1f0ce7a6b0b
BLAKE2b-256 e1d7ef3558714427b385f84e22a224c4641b4869f9031f733e83cea6f0eb0154

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp312-none-win32.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp312-none-win32.whl
Algorithm Hash digest
SHA256 3713dc093d5048bfaedbba7a8dbc53e74c44a140d45ede020dc347dda18daf3f
MD5 d26a18097068f3a9736e34640451b22b
BLAKE2b-256 be7d48ddf9f084b5de1d47c6bcccfeafe80900ceac975ebdf1fe374fd18654e5

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp312-cp312-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp312-cp312-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 820f6ee5c06bc868335e3b6e42d7ef41f50dfb3ea32fbd523ab679d10d8741c0
MD5 9e418147e8a39be5bd3319a120244fc6
BLAKE2b-256 f8bd0e795ea5eaf26a96d9691faae43603e00de3dbec6339e3710652f5feae12

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp312-cp312-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp312-cp312-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 5dd0ec5f514ed40e49bf961d49cf1bc2c72e9b50f29a163b2cc9030c6742aa73
MD5 5ab6a9c915edd4df21759ff3804647a8
BLAKE2b-256 83d69f41db9ab2727a050fdac5e56a9e792260aa29e29affa98b4df8a06fd588

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 2b1a195efd347ede8bcf723e932300292eb13a9d2a3c1f84eb8f37cbbc905b7f
MD5 f1d587a78a8051e1c67cc00683262afa
BLAKE2b-256 adfc6b4f95c64bbeadaa6f84cffb51f469f6fdd61215d97b4ec8d89d027e574b

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 82764c0bd697159fe9947ad59b6db6d7329e88505c8f98990eb07e84cc0a5d81
MD5 34e38f822bb124482c238cff861a83b2
BLAKE2b-256 e3bd6c98ca605130ee51438d812133d04ddb403fb1a8a93490f9a1a7e269a4a7

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 6b06c5d4e8701ac2ba99a2ef835e4e1b187d41095a9c619c5b185c9068ed2a49
MD5 d1f2bbec5eae75d85505ede35f7ab9ef
BLAKE2b-256 4a8818a541e2f9cbcef4b44b90a2ba98d85e109d91bc7f3b2210d271f66e6d8f

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 cc0c316fba3ce72ac3ab7902a888b9dc4979162d320823679da270c2d9ad0cad
MD5 088fe9fdd418af7e05ed4e22dea65a89
BLAKE2b-256 3f3b0c0377c5833093a1758e711387bbe5a5e30511fe9d4afe225be185527aa1

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 4a801c5e1e13272e0909c520708122496647d1279d252c9e6e07dac216accc41
MD5 ac26cd50894aa8a052d4a20f8a54bafa
BLAKE2b-256 79c34b003c9ed0f5f5e559823802ee7a3921de8aa50892bf179535d7695b2e76

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 b7efb12e5071ad8d5b547487bdad489fbd4a5a35a0fc36a1941517a6ad7f23e0
MD5 8dfeb0f0cf82f745e7f80690d8f90ee0
BLAKE2b-256 954cd4a355237ffa3dae28c2224bea9e09d4af69f346bf7611ebb66d8e930574

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 6294907eaaccf71c076abdd1c7954e272efa39bb043161b4b8aa1cd76a16ce43
MD5 542ecef20733160469eff5de246c5449
BLAKE2b-256 9ee35c29d8fa6dfabd7809fe623fd17959e1b672410681a8c3811eefa42b8051

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp312-cp312-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp312-cp312-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 4c83c64d05ffbbe12d4e8498ab72bdb05bcc1026340a4a597dc647a13c1605ec
MD5 c90dfd17894c62b6357cd61fa0b43913
BLAKE2b-256 8f549c202171aca4a9f6596e1e2a6572ff7d707e2383a40605533c61487714a2

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp311-none-win_amd64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp311-none-win_amd64.whl
Algorithm Hash digest
SHA256 6f80fba4af0cb1d2344869d56430e304a51396b70d46b91a55ed4959993c0589
MD5 8d6c36d0ca402520d893ba93988fe7b6
BLAKE2b-256 f357d798c53c9a115fe89f118a6b2b27d21e888eb22d4b53828344ce68035431

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp311-none-win32.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp311-none-win32.whl
Algorithm Hash digest
SHA256 caffda619099cfd4f63d48462f6aadbecee3ad9603b4b88b60cb821c1b258576
MD5 4e4c554d4596469667f8cbd1ffd3b95b
BLAKE2b-256 eb6a2885057cebaf4fe2810bb730734c5b6a4578842b6cec094852fea8513275

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp311-cp311-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp311-cp311-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 a6612c2a844043e4d10a8324c54cdff0042c558eef30bd705770793d70b224aa
MD5 d384c5234a0c5b19b39d2d7e520cfe11
BLAKE2b-256 baa78a6be2bc6e01c35a19755b100be8eaa279981e9db3fdd95afe06d4e82b87

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp311-cp311-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp311-cp311-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 0102e49ac7d2df3379ef8d658d3bc59d3d769b0bdb17da189b75efa861fc07b4
MD5 cbcbcfb066547f4527a1dcb798bf867e
BLAKE2b-256 61427323144ec46a6141d13ee0536eda7bcde1d7c1ba0d1a551d49967dde278a

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 8d5b0ff3218858859910295df6953d7bafac3a48d5cd18f4e3ed9999efd2245f
MD5 af3a68ac0ac63618e0b14408947d5df5
BLAKE2b-256 9bdfd58a06e2dec5abd54167537edee959d2f8f795c44f028a205c7de47c49fe

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 7a05c0240f6c711eb381ac392de987ee974fa9336071fb697768dfdb151345ce
MD5 09f703d909740ea24a27f601b1e14a62
BLAKE2b-256 80d25f3a40c0786bcc9b5bd16c2d5157dde2cf4dd7cf1c5827d82c78b935c1d3

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 c8319e0bd6a7b45ad76166cc3d5d6a36c97d0c82a196f478c3ee5346566eebfd
MD5 93294e2a196c82fe1f688c97248f0934
BLAKE2b-256 d2f08dbf5b3a78e2dbe0b4ed8e0ac1e0de53cd8bae82800b634680c8e69a3837

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 257d6a410a0d8aeb50b4283dea39bb79b14303e0fab0f2b9d617701331ed1515
MD5 c35564bade9592782f0c0412bf2eae4b
BLAKE2b-256 38053a7e8682baddd5e06d9f54dadd67e2d66b8f71f79f5b46ec466fd8d110e4

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 753294d42fb072aa1775bfe1a2ba1012427376718fa4c72de52005a3d2a22178
MD5 721877edfeac6f499388edf8724591e5
BLAKE2b-256 c0e28b93dffd8ebca299924bfe119896179be965c9dada4fcc81bb63bb49dad0

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 96ef39add33ff58cd4c112cbac076726b96b98bb8f1e7f7595288dcfb2f10b57
MD5 022f872cad2d3399e92eee440208fa34
BLAKE2b-256 db3271f1042a1ebfa5bb74a9d0242ff1c79dba04d0080d69f7d49e96b1a72163

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 7e9b24cca4037a561422bf5dc52b38d390fb61f7bfff64053ce1b72f6938e6b2
MD5 de808b79f31d731da4d6cc0464dab127
BLAKE2b-256 200ef8cee28755de3cd50ba92e1daf06aac32ec949ecb072afcb49d61221d146

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp311-cp311-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp311-cp311-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 7ce8e26b86a91e305858e018afc7a6e932f17428b1eaa60154bd1f7ee888b5f8
MD5 02eebc3d608cf48971cce1fc60ae4724
BLAKE2b-256 0622ab062eefe57579e186c1aad47d1064bf9f710717c8b35817daa94617c1f6

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp310-none-win_amd64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp310-none-win_amd64.whl
Algorithm Hash digest
SHA256 5f3cf3721eaf8741cffaf092487f1ca80831202ce91672776b02b875580e174a
MD5 39d3b43e2ef3478c754fe9de802fb1db
BLAKE2b-256 02239740be7f352ed3e29e9173758ad9c1471a344b54b8e38b8abae4174219ab

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp310-none-win32.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp310-none-win32.whl
Algorithm Hash digest
SHA256 e460475719721d59cd54a350c1f71c797c763212c836bf48585478c5514d2854
MD5 4a1d0094e4cc92f9a030913104105ab7
BLAKE2b-256 f9ffb4bb13a7ec2666a73c936a7675001a3f032f35189711bb51ee38c0756a70

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp310-cp310-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp310-cp310-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 b18cf68255a476b927910c6873d9ed00da692bb293c5b10b282bd48a0afe3ae2
MD5 73a70477752ba19e3895694887293e9a
BLAKE2b-256 0c5a91f67eaeccb061b22bd01e65ef8dda9d35953020605a7f07b884c1969ab8

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp310-cp310-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp310-cp310-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 d6b9dd6aa03c812017411734e496c44fef29b43dba1e3dd1fa7361bbacfc1354
MD5 fca063d40ce36d9ff0532f6b0af66387
BLAKE2b-256 20a5720d0cebf34da0b26d184c71642b21facb3c18302e9e410fb17f3d66956f

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 5c8aa40f6ca803f95b1c1c5aeaee6237b9e879e4dfb46ad713229a63651a95fb
MD5 8f812e328f50cbf8d1713bf00c6581fd
BLAKE2b-256 9060ce282e9f8cf383c73c1b3234835b1aa6e518aa947b162c4e86c2dcffd281

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 8ae65fdfb8a841556b52935dfd4c3f79132dc5253b12c0061b96415208f4d622
MD5 8a9297dbafe5181d51029675b5bac074
BLAKE2b-256 5767af3fa1cf5ef6288dbac450bfd264372651ae0bf6d683aebf3cb0fafa3a51

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 ae90b9e50fe1bd115b24785e962b51130340408156d34d67b5f8f3fa6540938e
MD5 1fb1e868bcff45f0a3b95d1dae0135ca
BLAKE2b-256 17d276af5e05a9ccad46a139366f53cb2dbaf237b7389bfdb7d7fd0c36eedaf4

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 1cf842265a3a820ebc6388b963ead065f5ce8f2068ac4e1c713ef77a67b71f7c
MD5 ff2e81051d49ec413ae3bf9abf3ecd4e
BLAKE2b-256 c96af5a8b2a1f869fff2fcd41cf37f0ce611004a1ece335427a31867707bb25e

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 964c7aa318da542cdcc60d4a648377ffe1a2ef0eb1e996026c7f74507b720a78
MD5 95c7eb71e266355b805a17e0f1664ce8
BLAKE2b-256 aaf9a0b2d02aa618ea55140d77c72d8a69c036d1f14f8d2e95760fd653e1f75a

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 c53100c8ee5a1e102766abde2158077d8c374bee0639201f11d3032e3555dfbc
MD5 dad584f4df306784a2d97ed356003e1d
BLAKE2b-256 6f81d93a2ca9418f610341339bc2c68d705be21d902f71f8ba2af6801f584751

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 276ae78153a94b664e700ac362587c73b84399bd1145e135287513442e7dfbc7
MD5 6d58bc94f06717e763af123a20a8063d
BLAKE2b-256 05d2b5c65bcf82537957686959339d1d4440bdf2b71ff0dbee46bf1f6de43841

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp310-cp310-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp310-cp310-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 7d0324a35ab436c9d768753cbc3c47a865a2cbc0757066cb864747baa61f6ece
MD5 9b96bf620ce97d944599565e950456ff
BLAKE2b-256 323bcf2605095ebf48dff52463b269dfccdb4a225b430d9b3c0c11a7ca094dab

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp39-none-win_amd64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp39-none-win_amd64.whl
Algorithm Hash digest
SHA256 4cebb9794f67266d65e7e4cbe5dcf063e29fc7b81c79dc9475bd476d9534150e
MD5 0d10be17ab2f915c71cd1ee41d6cd838
BLAKE2b-256 36a6da95007bf15e80bc11961c8d14307ae9b3a353a4dd4396da741c76ba4357

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp39-none-win32.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp39-none-win32.whl
Algorithm Hash digest
SHA256 0448b81c3dfcde439551bb04a9f41d7627f676b12701865c8a2574bcea034437
MD5 a02afa7ee96480ab8fffa5d8e4b8a340
BLAKE2b-256 ab68708503919bf048d0301a0ea58472ee8c72ce7b5f33e8d80c73d180fa8289

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp39-cp39-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp39-cp39-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 1a2ab4f410f4b886de53b6bddf5dd6f337915a29dd9f22f20f3099659536b2f6
MD5 831213f986090080032ced9583b73120
BLAKE2b-256 3a3913ddadba16f285400a779715cdac97dbfdbc488940708f513808c6ac0274

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp39-cp39-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp39-cp39-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 cdd02a08205dc90238669f082747612cb3c82bd2c717adc60f9b9ecadb540f80
MD5 7ad30131f901a912cb16dc2976fbaa9c
BLAKE2b-256 1c5d96fae9ead7462b535e8bda7431948b360491da684299b7538e00e2a62039

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 05b366fb8fe3d8683b11ac35fa08947d7b92be78ec64e3277d03bd7f9b7cda79
MD5 66226d7860e50835adfe095887b963fc
BLAKE2b-256 96220c704ebeebfe744db499a783642adf00dd11d937828ad8df3c68c169ea45

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 aab9e522efff3993a9e98ab14263d4e20211e62da088298089a03056980a3e69
MD5 ba827e13519550af3aff412bc41c5f09
BLAKE2b-256 2035c5f6979920512f95b994a3a7b10487bc4d97f6dc764fd28d22ed3e641f11

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 fc535cb898ef88333cf317777ecdfe0faac1c2a3187ef7eb061b6f7ecf7e6bae
MD5 e7d239d7f934f27cb17d062ec840411c
BLAKE2b-256 809211e5b7335cae6db8b8821d7bced7285a942c7f993b0cbd0d8f2a0cb87701

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 e6e3ccebdbd6e53474b0bb7ab8b88e83c0cfe91484b25e058e581348ee5a01a5
MD5 7b964095ee188c0406c41a7f2bc2fe35
BLAKE2b-256 01a30f79cc0b20293f377d9d9e20cb4aac2b0fbae05265c8b5a9efa54ad59470

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 0123655fedacf035ab10c23450163c2f65a4174f2bb034b188240a6cf06bb123
MD5 e109007cf47f3bd0c5306f93f74b0f54
BLAKE2b-256 5fc05a73650c8313fac0bf061e92322c16d518b1f40ca4ab4aa7ca3a1c293d27

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 7568f682c06f10f30ef643a1e8eec4afeecdafde5c4af1b574c6df079e96f96c
MD5 fba6084d8a5edaa7134fbb6d81043e93
BLAKE2b-256 878dfb14d6b67d36afdf33359e2b8488ac4e3104187da81cbac591dba7952ba5

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 c4d9f15ffe68bcd3898b0ad7233af01b15c57d91cd1667f8d868e0eacbfe3f87
MD5 1d9939cfb90503fd56ee0143f5e7963f
BLAKE2b-256 3e5bc95ab67c0f6f483f8620ae6e3c891a4477cd3986ef3a57ce247fee391298

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp39-cp39-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp39-cp39-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 358331e21a897151e54d58e08d0219acf98ebb14c567267a87e971f3d2a3be59
MD5 2ba7643eba5930ae4a9c73b6d78fa7cf
BLAKE2b-256 9222ec5bd81d9e526c6cf61f0db36adbec525cf82de502d46c47d1c01e88d1ea

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp38-none-win_amd64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp38-none-win_amd64.whl
Algorithm Hash digest
SHA256 67b6655311b00581914aba481729971b88bb8bc7996206590700a3ac85e457b8
MD5 91d78cf7e3bdba4c709afde0f93c97ba
BLAKE2b-256 f6824bc70450e71b0d3008a7d16d1023d75c7d17abe8623ed84bc01b51f13272

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp38-none-win32.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp38-none-win32.whl
Algorithm Hash digest
SHA256 086c5db95157dc84c63ff9d96ebb8856f47ce113c86b61065a066f8efbe80acf
MD5 8e3b63cc226238f896de2bdd7de02ea7
BLAKE2b-256 28a20752827ccd692596eb2fe4f759622c678c06c0e7b597eb64c7945a0a8541

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp38-cp38-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp38-cp38-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 07049ec9306ec64e955b2e7c40c8d77dd78ea89adb97a2013d0b6e055c5ee4c5
MD5 db2ec4d526f57310e09301c68277be7f
BLAKE2b-256 c457989d11bfc5d1ddb7bfc83362316e9f01832bc515d9735178d8895920dcbe

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp38-cp38-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp38-cp38-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 41ae8537ad371ec018e3c5da0eb3f3e40ee1011eb9be1da7f965357c4623c501
MD5 c2be7ec625214e74208c8d3bfee2ce2f
BLAKE2b-256 408fa994167e681a42f4c302ec64f58f6126743825a525a36b1dcf156cbe6128

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 d50ac34835c6a4a0d456b5db559b82047403c4317b3bc73b3455fefdbdc54b0a
MD5 ccafacde576a7408ec8851c466eae20a
BLAKE2b-256 320fdcdd94cbc4c25243e8bed3b891bda22aad126444d9e143d931ce635c9e81

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 3ef71ec876fcc4d3bbf2ae81961959e8d62f8d74a83d116668409c224012e3af
MD5 7d289508aa0a29b977a7266a240a5304
BLAKE2b-256 30f4afb1c8212787cf848e2e41c176650f5fbedef61eb3cb39cdbb3e59060780

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 785e7f517ebb9890813d31cb5d328fa5eda825bb205065cde760b3150e4de1f7
MD5 c3d08299eadf4fe76d010fd489acd1b7
BLAKE2b-256 c80d9cfd9237c5751d01836075c2bb43faa3cf8051c841fdb6669b5feeb7d9b5

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 810ca06cca91de9107718dc83d9ac4d2e86efd6c02cba49a190abcaf33fb0472
MD5 4bac82da5698af2d032acdd04a6c42eb
BLAKE2b-256 4c8db964f360a1744675589d2f2c8772629c16dd0b69bf0450564eaa6f6c1763

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 56e6a12ec8d7679f41b3750ffa426d22b44ef97be226a9bab00a03365f217b2b
MD5 5f017917cfe838ad43d10a9961a1e8bf
BLAKE2b-256 3f7e46d5bccfdc10b40ff9d6c0314975965531344d855af418e144503eae4b5c

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 16b25a4a120a2bb7dab51b81e3d9f3cde4f9a4456566c403ed29ac81bf49744f
MD5 abd0b1f862f5fcf2e3089fe3c7b9056d
BLAKE2b-256 8e55ccb281d9173e347fbf5519203148c8ffe2afc82659580ea8f1c1674a1ee8

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 6650a7bbe17a2717167e3e23c186849bae5cef35d38949549f1c116031b2b3aa
MD5 81032129c65ebe3d79cc6dde3a8b81c7
BLAKE2b-256 316cc1be668afe9b968a5363abd3e67a41a2c079f413ff4f682bab3ccfaa7611

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.23.2-cp38-cp38-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.23.2-cp38-cp38-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 743e5811b0c377eb830150d675b0847a74a44d4ad5ab8845923d5b3a756d8100
MD5 ab3fa99c96a61e248a2c935f0643456e
BLAKE2b-256 169b53b02fbcf95a76dd415530028c2d4cddc870acfe06dc0c4c5c9d76f35aaf

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