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

This version

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

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-2.25.0.tar.gz (407.5 kB view details)

Uploaded Source

Built Distributions

pydantic_core-2.25.0-pp310-pypy310_pp73-win_amd64.whl (2.0 MB view details)

Uploaded PyPy Windows x86-64

pydantic_core-2.25.0-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl (2.1 MB view details)

Uploaded PyPy musllinux: musl 1.1+ x86-64

pydantic_core-2.25.0-pp310-pypy310_pp73-musllinux_1_1_armv7l.whl (2.0 MB view details)

Uploaded PyPy musllinux: musl 1.1+ ARMv7l

pydantic_core-2.25.0-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl (2.0 MB view details)

Uploaded PyPy musllinux: musl 1.1+ ARM64

pydantic_core-2.25.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.0 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

pydantic_core-2.25.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.8 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

pydantic_core-2.25.0-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl (1.9 MB view details)

Uploaded PyPy manylinux: glibc 2.5+ i686

pydantic_core-2.25.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl (1.8 MB view details)

Uploaded PyPy macOS 11.0+ ARM64

pydantic_core-2.25.0-pp310-pypy310_pp73-macosx_10_12_x86_64.whl (1.9 MB view details)

Uploaded PyPy macOS 10.12+ x86-64

pydantic_core-2.25.0-pp39-pypy39_pp73-win_amd64.whl (2.0 MB view details)

Uploaded PyPy Windows x86-64

pydantic_core-2.25.0-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl (2.1 MB view details)

Uploaded PyPy musllinux: musl 1.1+ x86-64

pydantic_core-2.25.0-pp39-pypy39_pp73-musllinux_1_1_armv7l.whl (2.0 MB view details)

Uploaded PyPy musllinux: musl 1.1+ ARMv7l

pydantic_core-2.25.0-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl (2.0 MB view details)

Uploaded PyPy musllinux: musl 1.1+ ARM64

pydantic_core-2.25.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.0 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

pydantic_core-2.25.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.8 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

pydantic_core-2.25.0-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl (1.9 MB view details)

Uploaded PyPy manylinux: glibc 2.5+ i686

pydantic_core-2.25.0-pp39-pypy39_pp73-macosx_11_0_arm64.whl (1.8 MB view details)

Uploaded PyPy macOS 11.0+ ARM64

pydantic_core-2.25.0-pp39-pypy39_pp73-macosx_10_12_x86_64.whl (1.9 MB view details)

Uploaded PyPy macOS 10.12+ x86-64

pydantic_core-2.25.0-cp313-none-win_arm64.whl (1.9 MB view details)

Uploaded CPython 3.13 Windows ARM64

pydantic_core-2.25.0-cp313-none-win_amd64.whl (2.0 MB view details)

Uploaded CPython 3.13 Windows x86-64

pydantic_core-2.25.0-cp313-none-win32.whl (1.8 MB view details)

Uploaded CPython 3.13 Windows x86

pydantic_core-2.25.0-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-2.25.0-cp313-cp313-musllinux_1_1_armv7l.whl (2.1 MB view details)

Uploaded CPython 3.13 musllinux: musl 1.1+ ARMv7l

pydantic_core-2.25.0-cp313-cp313-musllinux_1_1_aarch64.whl (2.0 MB view details)

Uploaded CPython 3.13 musllinux: musl 1.1+ ARM64

pydantic_core-2.25.0-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-2.25.0-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-2.25.0-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-2.25.0-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-2.25.0-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-2.25.0-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.whl (2.0 MB view details)

Uploaded CPython 3.13 manylinux: glibc 2.5+ i686

pydantic_core-2.25.0-cp313-cp313-macosx_11_0_arm64.whl (1.8 MB view details)

Uploaded CPython 3.13 macOS 11.0+ ARM64

pydantic_core-2.25.0-cp313-cp313-macosx_10_12_x86_64.whl (1.9 MB view details)

Uploaded CPython 3.13 macOS 10.12+ x86-64

pydantic_core-2.25.0-cp312-none-win_arm64.whl (1.9 MB view details)

Uploaded CPython 3.12 Windows ARM64

pydantic_core-2.25.0-cp312-none-win_amd64.whl (2.0 MB view details)

Uploaded CPython 3.12 Windows x86-64

pydantic_core-2.25.0-cp312-none-win32.whl (1.8 MB view details)

Uploaded CPython 3.12 Windows x86

pydantic_core-2.25.0-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-2.25.0-cp312-cp312-musllinux_1_1_armv7l.whl (2.1 MB view details)

Uploaded CPython 3.12 musllinux: musl 1.1+ ARMv7l

pydantic_core-2.25.0-cp312-cp312-musllinux_1_1_aarch64.whl (2.0 MB view details)

Uploaded CPython 3.12 musllinux: musl 1.1+ ARM64

pydantic_core-2.25.0-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-2.25.0-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-2.25.0-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-2.25.0-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-2.25.0-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-2.25.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl (2.0 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.5+ i686

pydantic_core-2.25.0-cp312-cp312-macosx_11_0_arm64.whl (1.8 MB view details)

Uploaded CPython 3.12 macOS 11.0+ ARM64

pydantic_core-2.25.0-cp312-cp312-macosx_10_12_x86_64.whl (1.9 MB view details)

Uploaded CPython 3.12 macOS 10.12+ x86-64

pydantic_core-2.25.0-cp311-none-win_arm64.whl (1.8 MB view details)

Uploaded CPython 3.11 Windows ARM64

pydantic_core-2.25.0-cp311-none-win_amd64.whl (2.0 MB view details)

Uploaded CPython 3.11 Windows x86-64

pydantic_core-2.25.0-cp311-none-win32.whl (1.8 MB view details)

Uploaded CPython 3.11 Windows x86

pydantic_core-2.25.0-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-2.25.0-cp311-cp311-musllinux_1_1_armv7l.whl (2.1 MB view details)

Uploaded CPython 3.11 musllinux: musl 1.1+ ARMv7l

pydantic_core-2.25.0-cp311-cp311-musllinux_1_1_aarch64.whl (2.0 MB view details)

Uploaded CPython 3.11 musllinux: musl 1.1+ ARM64

pydantic_core-2.25.0-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-2.25.0-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-2.25.0-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-2.25.0-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-2.25.0-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-2.25.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl (2.0 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.5+ i686

pydantic_core-2.25.0-cp311-cp311-macosx_11_0_arm64.whl (1.8 MB view details)

Uploaded CPython 3.11 macOS 11.0+ ARM64

pydantic_core-2.25.0-cp311-cp311-macosx_10_12_x86_64.whl (1.9 MB view details)

Uploaded CPython 3.11 macOS 10.12+ x86-64

pydantic_core-2.25.0-cp310-none-win_amd64.whl (2.0 MB view details)

Uploaded CPython 3.10 Windows x86-64

pydantic_core-2.25.0-cp310-none-win32.whl (1.8 MB view details)

Uploaded CPython 3.10 Windows x86

pydantic_core-2.25.0-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-2.25.0-cp310-cp310-musllinux_1_1_armv7l.whl (2.1 MB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ ARMv7l

pydantic_core-2.25.0-cp310-cp310-musllinux_1_1_aarch64.whl (2.0 MB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ ARM64

pydantic_core-2.25.0-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-2.25.0-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-2.25.0-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-2.25.0-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-2.25.0-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-2.25.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl (2.0 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.5+ i686

pydantic_core-2.25.0-cp310-cp310-macosx_11_0_arm64.whl (1.8 MB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

pydantic_core-2.25.0-cp310-cp310-macosx_10_12_x86_64.whl (1.9 MB view details)

Uploaded CPython 3.10 macOS 10.12+ x86-64

pydantic_core-2.25.0-cp39-none-win_amd64.whl (2.0 MB view details)

Uploaded CPython 3.9 Windows x86-64

pydantic_core-2.25.0-cp39-none-win32.whl (1.8 MB view details)

Uploaded CPython 3.9 Windows x86

pydantic_core-2.25.0-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-2.25.0-cp39-cp39-musllinux_1_1_armv7l.whl (2.1 MB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ ARMv7l

pydantic_core-2.25.0-cp39-cp39-musllinux_1_1_aarch64.whl (2.0 MB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ ARM64

pydantic_core-2.25.0-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-2.25.0-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-2.25.0-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-2.25.0-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-2.25.0-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-2.25.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl (2.0 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.5+ i686

pydantic_core-2.25.0-cp39-cp39-macosx_11_0_arm64.whl (1.8 MB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

pydantic_core-2.25.0-cp39-cp39-macosx_10_12_x86_64.whl (1.9 MB view details)

Uploaded CPython 3.9 macOS 10.12+ x86-64

pydantic_core-2.25.0-cp38-none-win_amd64.whl (2.0 MB view details)

Uploaded CPython 3.8 Windows x86-64

pydantic_core-2.25.0-cp38-none-win32.whl (1.8 MB view details)

Uploaded CPython 3.8 Windows x86

pydantic_core-2.25.0-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-2.25.0-cp38-cp38-musllinux_1_1_armv7l.whl (2.1 MB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ ARMv7l

pydantic_core-2.25.0-cp38-cp38-musllinux_1_1_aarch64.whl (2.0 MB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ ARM64

pydantic_core-2.25.0-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-2.25.0-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-2.25.0-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-2.25.0-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-2.25.0-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-2.25.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl (2.0 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.5+ i686

pydantic_core-2.25.0-cp38-cp38-macosx_11_0_arm64.whl (1.8 MB view details)

Uploaded CPython 3.8 macOS 11.0+ ARM64

pydantic_core-2.25.0-cp38-cp38-macosx_10_12_x86_64.whl (1.9 MB view details)

Uploaded CPython 3.8 macOS 10.12+ x86-64

File details

Details for the file pydantic_core-2.25.0.tar.gz.

File metadata

  • Download URL: pydantic_core-2.25.0.tar.gz
  • Upload date:
  • Size: 407.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.13.0

File hashes

Hashes for pydantic_core-2.25.0.tar.gz
Algorithm Hash digest
SHA256 f19d3a1d8998cc2bdab9190cead6becbb3c88d10bdfad947266132f077ce349e
MD5 f516f544421110885cb4cad20909b914
BLAKE2b-256 b5fc4e4d9ac36c99c2bbb5a87885abc508f7d274706a571e3be253dc570943eb

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-pp310-pypy310_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-pp310-pypy310_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 b22a3c1cf5f0dd88748233baf2df0b3bd7afefe581c8c95b519f7163fff231b6
MD5 c7f195790520ce36f7ed4ededea77c74
BLAKE2b-256 d0996040a678cc104b556698014d3cad2860c1352a5d6eba97004cbead28d545

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 5ac4c6d242cd75e43b24b5cca9fe8d3ad5ab7e95fc5a0e391fd730a2a7f9ad98
MD5 7407769b0ffe74fdc405ad7453c59063
BLAKE2b-256 081f1fbd78d3356948c08c96c4a3b9153e2bec5a99df7f8e39e6f94911a7a1ec

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-pp310-pypy310_pp73-musllinux_1_1_armv7l.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-pp310-pypy310_pp73-musllinux_1_1_armv7l.whl
Algorithm Hash digest
SHA256 41faad7657fd2283e478fb66e0b9bed342f921a56cf2e9fbd07d901119ad1888
MD5 b41cab90fa4f7c9f005ef612795f2e85
BLAKE2b-256 1e5f9f9794b6f8857279386cd65a615073d69428a4d3bd7a688d6f2e3f735879

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 400a9edb99a0ee4cae2855eeadbd4a9c3324be5d2d7325017d23b2402469f385
MD5 190f40a12e8bbcdab5b666576074e765
BLAKE2b-256 c9bcb0fdc63af1cbb6ce3cdd3681452b0533722bc82764648fdcbbe69589cd81

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 7a07e4186b30d82c392933366b4265240829a9de8356f664e9c3b4f48ef71d30
MD5 d6be78b444460d63584881491e7f0ca6
BLAKE2b-256 a9a19d67ad7c7b95455ce5bdaeda92089fc6fe967aafdc303a8f92bea0245789

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 d431e4e384e7088440bb2eb259144e7a2e98e2f77835cd485a1bfcd7887706c5
MD5 157d8235f37b55a16af257eca1d69d05
BLAKE2b-256 0f9cf281211fbd55b9584f5aecd8e99fea238b4a09ed4cdf552e48f2537f40ab

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 defe57813573c321702a6427a00d96b833dd2ca65c43b953da4999a9996c5620
MD5 70072eb13034e5d8ac19c233744bde97
BLAKE2b-256 76ee83cbbd769982f5dc1dc7f4f193837b2cc6a837ac710e0eb01074c7eaa3d7

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 07bdb07c927164eea0b26cb4fb11530ae953ee17a7617fa52255aba497dcfa65
MD5 d12a5f14c908b2d65e4bc7ccbe9ad963
BLAKE2b-256 6d32bb7ccd412e129dcbc0e4b17066a80cf11fe04a8be86e4a6f36027c7b4454

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-pp310-pypy310_pp73-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-pp310-pypy310_pp73-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 31beb53eb7a67444f5d7d85daedccdf6aae1571215ef6fbbbf21205a3fd7e4ea
MD5 c081220da65207c8861183628ab2cde1
BLAKE2b-256 fbf2633c4945aa514aed581a35fea74e3e8a6e65b050b5f00cdfdd270005fa9b

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-pp39-pypy39_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-pp39-pypy39_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 b6f0f8ef4a1b43715597ea75ea01291f0175f00ec93198b18d53c239d2824c98
MD5 6dbb4e96eb5ede451081ee3a8e3506c9
BLAKE2b-256 e6c08910075033bf0271165d98420501af5c0307ce9a3db25e22206c3220786e

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 d28d4300389f27aff23c637b90cf7d1ee1245d19cc5e21f6df98723b4664d556
MD5 9da088134b1214665520209f3033322b
BLAKE2b-256 b34aa064f4516223b953987c63186eafb534c850188008cd2f5e7a57b18f831a

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-pp39-pypy39_pp73-musllinux_1_1_armv7l.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-pp39-pypy39_pp73-musllinux_1_1_armv7l.whl
Algorithm Hash digest
SHA256 6c1ae40ee33f32a074f8cfd791f13ea1460002cf0bfa8492c140d631fad18d82
MD5 dddec99d78e50f8694e09958a5e47f6c
BLAKE2b-256 d9b6bcadb0bad21a463239d13e62e99e5ba41d324d9fedaff2f5486deb3ed360

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 e10192eaf4ba8620ed17470aa0885e857e0b59ab844550e0d10e26e3b63bac61
MD5 3b62d9a751e323433be73904bd60d534
BLAKE2b-256 3afdd6daccaff297894d8907fc306b967fa39d786647131bde099e25959222cc

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 7b41767fd64ecd303d01d90a79686b96739ed00e8cf5d6dc1cb5108d7ddde7e2
MD5 65a3739e77c4256e8cdfdcd27431d08a
BLAKE2b-256 586c4adfc782d099b1d5886848c3e9541cf0b5bdda26f91d134e348e1e6c37a1

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 04611b0c0310f9714e379bd8915a8d91dd7d1c06e068e1cc85f7defd04578a76
MD5 c627f8d2ca8f5297f6fbebafd10e43d0
BLAKE2b-256 d57521a2d213b3a3720dece606b0c2975493b801c53d7205dac66b70347fc385

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 c527277412ae5dd8519ccae80307fff7ce6bbdadaad9b3f58babcf33314f1d36
MD5 2b5ef41eb2b36a8f1ae687c1fd55aba0
BLAKE2b-256 7427df8ba986b01d939079875d56112b6345d535891925115a985c16bc73bb6a

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-pp39-pypy39_pp73-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-pp39-pypy39_pp73-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 aa9b52273e8027b9e04f2fe4b6daf7e4d042a106623122d281dc1fccc4dc0f1d
MD5 30413ea05e601583d74454ce1b1e03bd
BLAKE2b-256 b4ae8cd57b3d449af958e2a4401308d4327405be1e92c1a410004933a9664e8e

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-pp39-pypy39_pp73-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-pp39-pypy39_pp73-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 d47cbf9a47cbaa36261388805779af905fff7704f6edd0c32c1ff4ce883185ab
MD5 3d89dc8ea8a968369d763d2f05113000
BLAKE2b-256 a47fccc309801f5b48b3462d7aabe55b1cb1c865a9355a298dcef062c02e1681

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp313-none-win_arm64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp313-none-win_arm64.whl
Algorithm Hash digest
SHA256 69216f411cf00c92746bb4205b9914cfdaef9cc829234691eef790d42d65bf5c
MD5 f2a83ebca774ae77f346e5a85a250cf5
BLAKE2b-256 a9d340cd581521b6cddfa0c531b636390e1db131589a59dbeacd4d58882620fc

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp313-none-win_amd64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp313-none-win_amd64.whl
Algorithm Hash digest
SHA256 74947a40eb16f3ec0b2b3e0653f2b4bee03cebc002ffe0d2ab13c5067a072d2c
MD5 5fb7a4de401c52d2f143c6c7e85e3c83
BLAKE2b-256 039baebaee49ebfaa73c0517cfd68b9f15ebae468da8b4bdd7b1d2bf337997b0

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp313-none-win32.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp313-none-win32.whl
Algorithm Hash digest
SHA256 7a1187bfa1ecd3ae9341ce53603f336b8520af0928f013576ab24df093bb40dd
MD5 aad64a554d6142be9896d8828bc01c7f
BLAKE2b-256 8fe25456039aaf1aa3c045f51ffb45f063dd32dea6d077a0918671ea198f36ce

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp313-cp313-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp313-cp313-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 35e6f563bb9962143350a380fc36cc7777109fcfcef22f6f56164fb6cce033be
MD5 4c82e4988b02b20c90de4c68b0773de1
BLAKE2b-256 d7474254aff587f5bcc3d317ee206ecee632c44f15800e136d24b7885060d230

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp313-cp313-musllinux_1_1_armv7l.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp313-cp313-musllinux_1_1_armv7l.whl
Algorithm Hash digest
SHA256 24651b7f33c1cffd5aa8a5dd278d88924de75bbce0a89bc4fff4fbcf44d06adf
MD5 d5e3989b78362674b60f0b2734b65c7c
BLAKE2b-256 d0abb5e220f45c70991fc418e5ef8036f44f2cf95fb4120cced820f18244a4ab

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp313-cp313-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp313-cp313-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 16aaf478b672d1f90b05431cb7429d4d86e5124ea7043f70f339eef3ef43e8a8
MD5 8e343a707cf2befcafcf7ec17a580449
BLAKE2b-256 3e61fba7a61ccba7ec9a68788b2d919ed712906d0f99bd74bb542859d2cfdb6a

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c9be731eefcab8b2cf21eb9afd198b244402c5fce26f16d9af8020b7dca58455
MD5 8fe2c8229dc4ae3c364c7a88bd357993
BLAKE2b-256 ff5859d0509aa43b54c8dea6fb71d60717bc10c5102690be3fda2ebebcc36f8b

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 afb61e7c19c1dd40442d069bc10e81af9fb6523218c73835fbb21479e208eeb4
MD5 ec3382d141192946218c096696397269
BLAKE2b-256 bf9fa75a22fb0b60bbecbf05a61bb96956fe48ba476b9738b9593f2eb69b7296

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 fc353ce52f885756c2515cb6729433766fcc2ca839591069f34debf08075fc7e
MD5 af1c7ecaea77b42afec056328132f8aa
BLAKE2b-256 7d710cfc61cda9531a66faa0a7563726b6b8e7ebb2d969ab123aff63e210298f

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 47f981d5da439bf5b4a38fdf0888b04a1465990f9af19c48cb82c9b44cf049f9
MD5 0f365de962f5d178146d3345c9e87aab
BLAKE2b-256 06131f084c06d2fc918e60ecbeca7f0a186ea69590c91d0dc701548cfdcdd2d6

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 f9b8bd6c8f4b9b2e202cff3d194807a9c04b5b24684d425032f08ebd8f7d7938
MD5 95988e6764df491024b139d6695d1bbb
BLAKE2b-256 62dcc5d5253f2c82cc3f32179b76f6548b74e37640c7becac5b81947abdea417

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 328db7f0247438aaa3cbad4bcbabcf17615db14e33a028b735f305901a6f6e03
MD5 7c575bd1e12e5e227435d54d01b6f4a1
BLAKE2b-256 3307acfa22a014a994c339d264a3e446a80845b5e7ede72867a93e6eef592ca2

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp313-cp313-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp313-cp313-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 00328de3f4a0cd0a6b8ae2414eae0db9e55747b211301d4b6a84e99f64a45dae
MD5 05cb7980f88cc10eeeb0cbf4ff045ef3
BLAKE2b-256 406e87e17062b32f96e10806f307976ee20da319548429ba71fa73dcfbbc7f48

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp313-cp313-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp313-cp313-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 758176e9c5e9c7943dd4bd2ea3bc095eae0abdea132876e6c278b2e884a82b46
MD5 087e4aa5454e067cd86be24f26f1159f
BLAKE2b-256 3265e8fb03798ccbd7ddf156455d976f96498e5b3f336db4a95fdd4e233aec23

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp312-none-win_arm64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp312-none-win_arm64.whl
Algorithm Hash digest
SHA256 2f096bbd54ea0dafad015ca9efd056f513d4d9b1edb7da3104733af875ac7e12
MD5 8ec6f3435c7599e40dbda668f35245a3
BLAKE2b-256 83896497f4a39c5894d03959bcaa63d69b759578645c9ae273a1fec180978dd3

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp312-none-win_amd64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp312-none-win_amd64.whl
Algorithm Hash digest
SHA256 e20e9c966691155e2d6ea978b3e24f6951683b8f7797d08db40aedada3d22fd5
MD5 ce3576a40a398ca1fefd1202480f7555
BLAKE2b-256 fecf004e2e3a05f5b2f0f8c09e3a7d498ac50ac4cfe66c47aff4192a0eece9bc

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp312-none-win32.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp312-none-win32.whl
Algorithm Hash digest
SHA256 43004d86449d54f0fa1d165372eddb7917e3adf8ae27bbfc8610d205a2e58ecf
MD5 b86cd848a51c8e7128e793d6d7797a9f
BLAKE2b-256 09fa72009cb6e3fbef73ecc539e6332f85af1f99544d963c993df056f36b1ef3

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp312-cp312-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp312-cp312-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 c3ee91cadad7061a6c14ac16bef28c6c30cef92e6e4a1d5e0f15c9a578cf92c9
MD5 43e9156605a04b43dd7c837f5f70f5ac
BLAKE2b-256 b6d36a1351017fc31d8c952cd8d4706f9ee36ef1b5098834964fb70109f92339

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp312-cp312-musllinux_1_1_armv7l.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp312-cp312-musllinux_1_1_armv7l.whl
Algorithm Hash digest
SHA256 e91441a36550007b133c1d6f945a8700271fab578866bd3fca99c55bee7f62d5
MD5 6e71cb37e4f2ea914a17f518ad2c4062
BLAKE2b-256 cd69fb5bd8a11c4f6a1315c394d9966d1aab97e5a04e03a6c97fa8edd82f3548

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp312-cp312-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp312-cp312-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 88fe8b9cbde538ff883105fd1f34289244e619bcf03e6a39cf9bd7d74c4039d6
MD5 bc6ae51b77519d768c0aee885d204edc
BLAKE2b-256 a0d497adca315466c9c7c311f1ba5166721279c24a7751e7b902e37c772a444b

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 cc4c45fd3d7d43ad17d2c1791541c8e18933d2366142410094b31cc976de777d
MD5 6b68244de3660e278f30f3336460a8b0
BLAKE2b-256 d8cfeb4e2aad9e3964d4db87209126e760635f882e5a72ade4de3a34b2a24488

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 2043c4e7525f3b21805c378379f223618e992b1600ffa3d02e757d88ed91c11f
MD5 ddf72acc92c50b8aa4e7b854b5e14e5c
BLAKE2b-256 d0b6eafd9872f275b57772849ac4c237df179643e2150647a72e5d460939c469

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 93f1b60b615f6e2d564fb7d1d3e6d21efc6aae7430f4059c848b52505d39fe9f
MD5 d47b6b9130c4f18f9c03e961ba658c59
BLAKE2b-256 f40c764866cc3757a5c67e25a49fa7d67ff26c1e5e1c73726e19aeb42e883c96

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 525cea6ff769a6012a14b89a8a6c01230224c8d9e230f20a1bd9bd714620fb55
MD5 07c1e2949e43adff2cc4cfc63b62cb59
BLAKE2b-256 5439583f47436c1dc1796ec4e8e5ea52446f7b483d0478dd5b0844f9505f0299

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 441749573ef01d9c5193e0ebb476334644864d5cbf03ebddfc8231ee46fdf71d
MD5 71dad60faf9a1b17c2f6b28763c5864f
BLAKE2b-256 55c98e36cbae25ca14db89d4168fca4caefa97cc5f07865f7bd80f2f97a17916

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 46c53760be7da0e6d5ec59bebdd220862021df516397b05b3322488505959172
MD5 c5530706f3b45afa9c5e53af1175d90d
BLAKE2b-256 be0f950b05c929841fc3fc4067075f5fc16f3b19cb0fda3885dd5d843b0a2518

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 12eb24c33d864a6a4da6d14b2a724854cae7b7adec2e46d71dc83212fafcb154
MD5 0dae860d3cda28748a9fc2e807049b85
BLAKE2b-256 96613502c5e8d356542be8ba6b2a1eb87293bb971a36f1498f3549e0e9f3dfd3

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp312-cp312-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp312-cp312-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 a889cdd9b397b7c4e3b9b6c3348468cbc1c4c922af6a9c43b4fe5e26cb7fe9b1
MD5 c525b70940544d5e34fd3630004100c4
BLAKE2b-256 0d6deaf28cd9e8f447b1a92cc264191786356ef45d612cfcddfed9ae6b532c05

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp311-none-win_arm64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp311-none-win_arm64.whl
Algorithm Hash digest
SHA256 db4421f5ec2f7e242be7734f2b238115c8dc750649d21022810a83205944055d
MD5 5bc8f7930805f9dbf90020b11c53ba38
BLAKE2b-256 57e8ed9bf94b3a33993d8932a9f4d04f1852346c3119f30ef98988798973bcb5

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp311-none-win_amd64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp311-none-win_amd64.whl
Algorithm Hash digest
SHA256 bab176dc1f8ead7b26f19c98c8a1830b9332981fe83290f1e80f7366cf66d7df
MD5 cf0e987166a40556a69efad925108e9e
BLAKE2b-256 44ea2c5d3da617fdbf3cc0a668f021000a9692a27ed2063dd2889cacdc8af627

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp311-none-win32.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp311-none-win32.whl
Algorithm Hash digest
SHA256 716435e10894d3505e63ecb247b6d4f104772d859440de3cc33add76b8161ead
MD5 5e94326013c0732b12add94c492dae4b
BLAKE2b-256 0bf3660a83df9b6817310f3743c2b4be04c2b72915c1f1cf6691308b4ed07637

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp311-cp311-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp311-cp311-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 5254d70ef7412e04bf36b663d9cdea66aeeb5df8e842d616757565e55a48f6a4
MD5 56457f61c4e188f6c710e82dc9bed6c2
BLAKE2b-256 c105b522a3a5928c8ccf44cf8a4bfa6db56ab9eda7b710cb89c39aeae86f9b59

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp311-cp311-musllinux_1_1_armv7l.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp311-cp311-musllinux_1_1_armv7l.whl
Algorithm Hash digest
SHA256 19eb52753c780316d29303b1e3383828eac88e20bc33c674a6bbda697d47a781
MD5 ba028398b08f66d823fc6c53b1b33f78
BLAKE2b-256 19cf674bc9db25da5a3f51e2bccc51b24624722d95edddabe2e26d8dd7ae5a0f

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp311-cp311-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp311-cp311-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 161736229d9805fe21dbff8314f81374a0c3416d8d978a94aaecf085d194f318
MD5 aad6e4865df83d5dc275f5b16a1e1f68
BLAKE2b-256 fb59d99251d8af52bb0e1c33170849b7ac520b771ff34bdf6223e41cb77ce65e

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 575774c06a7a63db80cc9fd4b2092b5372f9463e87c85b0dd3a03fdf178f8d69
MD5 d7b6b84c0be5e13819021ec355228ab5
BLAKE2b-256 2dbf4dff58efa077aee72f14f4baa84b5277ec5f4c0a52e245577f0d97215e4e

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 3f8dd4193266da3349ce80f4f0a2d3c35004b2ef8f108a6b6aa0cc596a8cbc71
MD5 ad9777782a5eb1c5fa540a4ea4e76829
BLAKE2b-256 284e8bed4236b0ad4a62c55b1d89c87b60a63a996c3730482d463958a89eefae

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 6ddaf57f2bb389a7221ed14c90e89ba2e4a82f75aeb01a36e02564f14611f195
MD5 2bd5bde55b4948af879898fce3c60aae
BLAKE2b-256 ca253a33cbb3fe773d800ca667b8f0f3238638f66e4b0c1ae1d25408527a53fd

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 ea7463a4672d8bcafda7af669b46aba09bcfdf90ccf0491371b932121938deb0
MD5 2325c23fcd7bae579c52dac59ff3eed7
BLAKE2b-256 1601120126a30c28767114c5c3db711ba3dd6d0d3b3cb3bf6ff28fb9d07b1959

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 e4fde3796c5e6d8704211cd8b2def74eedf3809e1f120bd0c7dd6780c57fb7e3
MD5 8815b962d5c771a997849969e6605a0a
BLAKE2b-256 52baa76c47b8bee75b673f87a65e8c5588eb0d443d4d24fa322115849ef59e5f

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 a99a21c1ecf04730152cdb0cb553a8ec2355bce14964506bff3938d2e38cb007
MD5 4491cf5207869eb566fe9fd84f2accb5
BLAKE2b-256 9b98680e6de1fd49c334d783a4695f78dcff4841aab67a9fea5437127ede8292

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 35539b7159d11b2cb19309c33b350aafbc0e7f9a2c74ac85803e422bb2627746
MD5 ea886cb80029f9344a3afcb4db1e2d43
BLAKE2b-256 7695ae258d4a259e8ca609855efe9d9de14076e5a97984d2727b0b41d88343a1

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp311-cp311-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp311-cp311-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 809f03ec1a75fa71482a3e050df5e65f17749f9178744d2ed10cf3da639ff5f0
MD5 cee1cd693f97e37eddfe81393470140a
BLAKE2b-256 5eebc1ab4d7a54a1ccb7e878c89f0d11e3a65577720097e704e57f269763104c

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp310-none-win_amd64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp310-none-win_amd64.whl
Algorithm Hash digest
SHA256 76f09f87c15913345e3c7bb7149dd9d182a0f3f0b9075c1a66ee94165c769951
MD5 281bc14e27f6d611acf4ef23e350c0b4
BLAKE2b-256 39b5593e1853238f3b876c88bbf159c49891c28a52d05e94ef0b465c4098f64b

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp310-none-win32.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp310-none-win32.whl
Algorithm Hash digest
SHA256 993012555c1810284eeddec0724e4b93db5fe8eea7701f176436596faad8162d
MD5 262545f2124c90324185f5d6e9a2d0d5
BLAKE2b-256 93069624f7e1d2c1d9f9cb426900615d331989ed164f3190c7e0b4525e9989c1

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp310-cp310-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp310-cp310-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 a2d12fa1bb579266a6e9a3dc205c8169f6103df6c884dd02d0dd9b791a61e3d6
MD5 138034ffc568cfcbae86973b2530760a
BLAKE2b-256 902b19c9987e248158a96b61dbe059bff27d4bfadce2e3b522364a11b40f4181

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp310-cp310-musllinux_1_1_armv7l.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp310-cp310-musllinux_1_1_armv7l.whl
Algorithm Hash digest
SHA256 06a50e1eb04ac7e7a8d29124b3797dcc9a0328f1354f55934eed72ed2b33776d
MD5 de48f2137767c2f81ae11c13deac07e9
BLAKE2b-256 8c24f4d031fe3d197dc1eae2094e8f906dc041b79c6362b7bf8ac1a12bee6b51

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp310-cp310-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp310-cp310-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 5ae0c61832ca8de44c48e0a9b5525f7562395e1fe56c5a2f75fe192f5b5a735b
MD5 75be4216102cee4cac24c5bdbea69d13
BLAKE2b-256 3db2c2999e2e29b51f658d02d068ae702e175b5a771ba76cf316f6a60db3c452

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 fdd5e12281946c9cd841e443189c294e414f6f065918e8e7b42eba6ad75497c9
MD5 865e061afc2a4ea46526ef0a06a97d20
BLAKE2b-256 93a686530c3c912788f49b89104270cc2a0815a4fc2ddbaf65699a8361416158

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 ecf7776c70e8dd243b1e3b9b067ee41be22a504aea972a2249fccc89c8e61f69
MD5 c22ffe688d90846d6243c05e2e181a8d
BLAKE2b-256 bbfc4eb80896c4eb83bcbdb23cf458dab93b0173844ed40b232ee2e985371b3a

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 d9782889a4df90c6fe5b077f1ceda4e8d34a88116aca705f7c5f51a4bc57a67c
MD5 2e75c078f8ac142ec942d291545f4a1f
BLAKE2b-256 2a93dc94a0ce39d9580a7d2e5bbdb364057f2c926138b7b3ff4239aa4126fbdb

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 8ecefd50a2c735af60d98d6017a308718fa30653ea2ae7dc155877894442ad14
MD5 931fc8d90cb98cdaec17aa0b084f355c
BLAKE2b-256 7962dbd04e23145ea8ac1da9a52e013de253a4e73778d24a8f18f9fa061bace5

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 1d227ded20052fc2e63412361bed28cd0b974bef499b44dba5c6f1db3af1d674
MD5 38a3ec859c991ec366a19b7c88fe6781
BLAKE2b-256 9f3b1b417e1799fd041f4f1db73f5a29f8bb63f6c9e1c705dba04269c36f76d9

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 bffe497d0dbd2ea6a7d2029b932971c41cf3868fcc9cebd03d067b59a8c7fa5c
MD5 f8e7223cebe7ecd716fc5022f6e2ca2d
BLAKE2b-256 f44e235a9fb6e9e4b4410b04d02a88365e79d26722d027179dabae2b13f9839c

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 74f52508d3bf6b60691338e204f49803d0dc42c4f163bf724c1315ffba37e082
MD5 d10ff308c07c0d21ee80bcb85e6bf74c
BLAKE2b-256 42eb976593f410fd8b06bdc7e5887dc2b6b98a082c6d315666ef5c0c2e4dcffe

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp310-cp310-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp310-cp310-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 910044b1bdd8070fa18cba4771feaaea5cc0ebbf425ca6b87b1c84660f237ad1
MD5 48a4bec7e8e848d44c94c7656432e036
BLAKE2b-256 36e92ae216c23de360b7a90954ab1036253374c59f3e097f6dc192d50810016a

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp39-none-win_amd64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp39-none-win_amd64.whl
Algorithm Hash digest
SHA256 6c1a528d7fbb8efb448df1851ab190eae8cc85ee1ed742ccc30c03a0b8370d25
MD5 ee8622f2deacf51e0edb91d4d3d5498a
BLAKE2b-256 b3aa85379ea33b95de6098f47643af9cb8030de6fc9613358baae12c1279a047

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp39-none-win32.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp39-none-win32.whl
Algorithm Hash digest
SHA256 b2ef46407b2e447c094348865cf18e1d6cdd539c87426a2e1c9d295075507501
MD5 c043186f3047a39ff16a154fc3301d19
BLAKE2b-256 4178d4283090d0b6b31e60755023e22c8363036d07c042778665c73858f1995c

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp39-cp39-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp39-cp39-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 5cb971a3aac7a9744bf10cd9412f6fd854da8dd91662c65ad73a7dc0ff18205b
MD5 8c17ab0074f04729a4fda16d8c8dc680
BLAKE2b-256 4ab0e964c426e29cb8048bc700103e87a9fbd46d0fcc9d5cd8b51fca4d7129e5

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp39-cp39-musllinux_1_1_armv7l.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp39-cp39-musllinux_1_1_armv7l.whl
Algorithm Hash digest
SHA256 b42b4f754b344a3cf955222cb4a2f1999a7a20127230d400b59efb4db4ea7492
MD5 b528c8ae0615c1e10bb82862d2253212
BLAKE2b-256 289d6bf77500121ade74355fee93a7bbd0af0235b39a675c6e9b1fd29f135bbf

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp39-cp39-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp39-cp39-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 b6c5482ee9908b56446679eebd08aff7828d0680c0b243251f456cdc4b76aac0
MD5 61c8433b081eed3838acbb9a76ac0d28
BLAKE2b-256 743a765340851c7a136d7482f4bcf71fdc4eb1f801ffe50bc56e4db5b7ceec47

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 20ea436a434ed9c9357131738603c331b7b73b7b21f0c43e07812c8c1147d581
MD5 180095197b258faa65009734899fb23b
BLAKE2b-256 37ebe5d68c210bd5b01f59d4e4c63d2e6d0c9548a8922cdb9529b10d1b51faff

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 80ca3f87249be40025faa8b1a8c7f2a7057e4bff7b465b0392047cea0395440b
MD5 42e71f175f91c5ec4960208642431f44
BLAKE2b-256 873d60d91f288a43133aa992eba6a5b36243074994d1add09808f3c36e755e11

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 f73f2b4a2f2b3e8ec393541d07a2c8268c55558f19fbbc91bb56a7533d19ee2a
MD5 2b9ea9cdb0dac6981ba3e57c413cfe5e
BLAKE2b-256 fb11b8cc28efec83f54d8e08732851205ab7e06ef24c37938d15e1562ff6b8ca

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 c44bd3e0f7c46ea7f108aaac0efc25265fea2dde7e42e91a74dc42e06bec4996
MD5 23ae6c97597a11a976dc6f986e089934
BLAKE2b-256 c422e17daefb3b36a50cc6caa9d5e4b4c65a8154cf6368f28a3b5f32dac49d35

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 688ad6c433db5298092505ee9e4314b97ad63064958efce1102ff6472adc7bc2
MD5 8dff5a2f816e9c2d2e2f003d26f9641d
BLAKE2b-256 9be0214ebe2f2e3bbac925f85b512a0a08e33acef860a9a2488bd1ec3b3d6fde

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 1bef53a6440816f69aeba7dc935517331bffa3170d1e33bc28adb6d0df2e4ec5
MD5 d16106b2f14f39e3f07de2604579a586
BLAKE2b-256 2f5122396f089a7b17106c25ca8a6d044640a94fd6fcb869bf04a36a0ba7ea4f

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 8fb42f3e72f30500b13854fd5e40bcdaa1dcc861618650f2ad98ec24c771cc86
MD5 d60fa660709f01884d65c7d401d36d30
BLAKE2b-256 d9cea093d3637dea5bbbda25afa64cabdb3ed1d4a588f7ccacef17e750c87cee

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp39-cp39-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp39-cp39-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 f8183c29e73d74df12cb430785afc2935160e3b865d9e73bab6f568e584726fa
MD5 eeb770c767d90a3d623f4c9b23902f61
BLAKE2b-256 b27d9c84e423ad2c586cf7b3e954a8bf7fcaabd87a606969a267470aa420ca35

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp38-none-win_amd64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp38-none-win_amd64.whl
Algorithm Hash digest
SHA256 ebf7f03b9f9420767c21434631df793cbf16896be932f43e47ff4d2153a62f0e
MD5 b11a1b309787524375cb878800e37c52
BLAKE2b-256 d44b55ea25a7a7890f94fcfde52879fc860be2d573d38cc94db7955e8ff6ee61

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp38-none-win32.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp38-none-win32.whl
Algorithm Hash digest
SHA256 99ed2a6a9937d8103e65a51046b1ff30a890c02bc6a9533ccf1fd8c9dc5bb67d
MD5 94f60b1441c3ba8b2286ec5715272d17
BLAKE2b-256 b945e7d06d9924ee320aa9f3f7631cab3d3c3be72190ed582f20a28b38bff97a

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp38-cp38-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp38-cp38-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 3ece855ffbbfec4807c17dd415b8d94edd5d577bdd69170e41f1cb4886f3651c
MD5 571b6a823a02c5b3b54115514d3ba0c7
BLAKE2b-256 e5138a73417f34e96d182323023b62b150f00da8f272f42f1b55015953edc4b3

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp38-cp38-musllinux_1_1_armv7l.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp38-cp38-musllinux_1_1_armv7l.whl
Algorithm Hash digest
SHA256 6183904410b2e71187c7ae76f219b77a59f713a19ed912fd73164bbfbd6466ae
MD5 f72f315f7d2bb8025d0c76bd0de6fc82
BLAKE2b-256 b468703cfdbc56a06f9155e1dd3c98748f7279b2ebc8f935e3417c37f3ba6be7

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp38-cp38-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp38-cp38-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 a851e3333b85927238b9d9f8a0d56d9478c1db2c0dc56e80b37d427b36a279e7
MD5 b278d7abd989632eb4c1d4413647a38c
BLAKE2b-256 094a4c19247811cb35e1e559e95a386f2698e2bd6cc916eab503581a94947dcb

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 0c4ae72eef216030ef24872384a730d4616594349053393a3da00356f628e315
MD5 fb0d04d0ca8f0a6f4c69a1033f2b1a1e
BLAKE2b-256 d157ba02778bb6b4b92477721ef83e8677fdc551d0b5a008375f94c44bcc81a2

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 b5f0176aa4e1ec2a85a7a1c5fd60ff07eb7af712c144b319977641c287430b49
MD5 20ee13427c3304d0257d9795606b771c
BLAKE2b-256 7449e44663eb248335d346aff4a1454b7eaa2c43cf5066b99b2281fa751d86de

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 31d0c4d39a1f485759adb0edbac77ad9529d04e0d99433a429eda2bef5869664
MD5 002cbca1173a801ab9eef6fedeb95249
BLAKE2b-256 78a76c48685ff3dc7ba1dfb74d3fd7548c055a31bd06aa951a50c1e55678f38c

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 23f603c6e0ebd02fd49a98e38fa625f3f7a4b6ee4f28c9eae2694427ec2ad8f0
MD5 5c1976819c91dbb6b9cf64b0d932dfef
BLAKE2b-256 c3e544d0375aa5288756127272cfef23f7aa570322b312e3bc7b402069cc9d24

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 a0c238445b61b0cb65b71d0ce371b48d6b83dc66c5d8992a7189034bd350233a
MD5 e245e996ac8ba1eceb3efac7849a443e
BLAKE2b-256 c8dbb9c5dadf863f196b0b58d935ee8cdbf7e36abf80cac964788d6c7cf8a7e6

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 ff44f1301302b87796910c8aa8f4718834b116bb8428963593e0e4267c9214fc
MD5 836ac8697cb6a1dd4ff18a29e59d72ed
BLAKE2b-256 1f9d8df214be794209b6622b58039579077b0dbc61f07ef4bb976e42e3793bc6

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 0cf9f11f78ac9d7988778f75bc97759ece3d2c4c600daeba385b204cee5d46eb
MD5 a0aad007ace8bfc5e33691731bda9b1e
BLAKE2b-256 cf2627ba64c54ce4761497066fff2fd2dd509795a2e83efbd6562dc5a24f6131

See more details on using hashes here.

Provenance

File details

Details for the file pydantic_core-2.25.0-cp38-cp38-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.25.0-cp38-cp38-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 599647964f620e596378bfae93aeab0089eebb866f5b6c754c15fa2f7b077c5e
MD5 cc0dc7440283f34a4049ca0e39aff03c
BLAKE2b-256 f096280849b0ef0580e7fe4eb844c83ef3a4a58334ce79fb194c6ca38171e0b7

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