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

This version

2.27.1

2.27.0

2.26.0

2.25.1

2.25.0

2.24.2

2.24.1

2.24.0

2.23.4

2.23.3

2.23.2

2.23.1

2.23.0

2.22.0

2.21.0

2.20.1

2.20.0

2.19.0

2.18.4

2.18.3

2.18.2

2.18.1

2.18.0

2.17.0

2.16.3

2.16.2

2.16.1

2.16.0

2.15.0

2.14.6

2.14.5

2.14.4

2.14.3

2.14.1

2.14.0

2.13.0

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-2.27.1.tar.gz (412.8 kB view details)

Uploaded Source

Built Distributions

pydantic_core-2.27.1-pp310-pypy310_pp73-win_amd64.whl (2.0 MB view details)

Uploaded PyPy Windows x86-64

pydantic_core-2.27.1-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl (2.1 MB view details)

Uploaded PyPy musllinux: musl 1.1+ x86-64

pydantic_core-2.27.1-pp310-pypy310_pp73-musllinux_1_1_armv7l.whl (2.1 MB view details)

Uploaded PyPy musllinux: musl 1.1+ ARMv7l

pydantic_core-2.27.1-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl (2.0 MB view details)

Uploaded PyPy musllinux: musl 1.1+ ARM64

pydantic_core-2.27.1-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-2.27.1-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.8 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

pydantic_core-2.27.1-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl (2.0 MB view details)

Uploaded PyPy manylinux: glibc 2.5+ i686

pydantic_core-2.27.1-pp310-pypy310_pp73-macosx_11_0_arm64.whl (1.8 MB view details)

Uploaded PyPy macOS 11.0+ ARM64

pydantic_core-2.27.1-pp310-pypy310_pp73-macosx_10_12_x86_64.whl (1.9 MB view details)

Uploaded PyPy macOS 10.12+ x86-64

pydantic_core-2.27.1-pp39-pypy39_pp73-win_amd64.whl (2.0 MB view details)

Uploaded PyPy Windows x86-64

pydantic_core-2.27.1-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl (2.1 MB view details)

Uploaded PyPy musllinux: musl 1.1+ x86-64

pydantic_core-2.27.1-pp39-pypy39_pp73-musllinux_1_1_armv7l.whl (2.1 MB view details)

Uploaded PyPy musllinux: musl 1.1+ ARMv7l

pydantic_core-2.27.1-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl (2.0 MB view details)

Uploaded PyPy musllinux: musl 1.1+ ARM64

pydantic_core-2.27.1-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-2.27.1-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.8 MB view details)

Uploaded PyPy manylinux: glibc 2.17+ ARM64

pydantic_core-2.27.1-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl (2.0 MB view details)

Uploaded PyPy manylinux: glibc 2.5+ i686

pydantic_core-2.27.1-pp39-pypy39_pp73-macosx_11_0_arm64.whl (1.8 MB view details)

Uploaded PyPy macOS 11.0+ ARM64

pydantic_core-2.27.1-pp39-pypy39_pp73-macosx_10_12_x86_64.whl (1.9 MB view details)

Uploaded PyPy macOS 10.12+ x86-64

pydantic_core-2.27.1-cp313-none-win_arm64.whl (1.9 MB view details)

Uploaded CPython 3.13 Windows ARM64

pydantic_core-2.27.1-cp313-none-win_amd64.whl (2.0 MB view details)

Uploaded CPython 3.13 Windows x86-64

pydantic_core-2.27.1-cp313-none-win32.whl (1.8 MB view details)

Uploaded CPython 3.13 Windows x86

pydantic_core-2.27.1-cp313-cp313-musllinux_1_1_x86_64.whl (2.2 MB view details)

Uploaded CPython 3.13 musllinux: musl 1.1+ x86-64

pydantic_core-2.27.1-cp313-cp313-musllinux_1_1_armv7l.whl (2.1 MB view details)

Uploaded CPython 3.13 musllinux: musl 1.1+ ARMv7l

pydantic_core-2.27.1-cp313-cp313-musllinux_1_1_aarch64.whl (2.0 MB view details)

Uploaded CPython 3.13 musllinux: musl 1.1+ ARM64

pydantic_core-2.27.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.2 MB view details)

Uploaded CPython 3.13 manylinux: glibc 2.17+ x86-64

pydantic_core-2.27.1-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl (2.7 MB view details)

Uploaded CPython 3.13 manylinux: glibc 2.17+ s390x

pydantic_core-2.27.1-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-2.27.1-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.9 MB view details)

Uploaded CPython 3.13 manylinux: glibc 2.17+ ARMv7l

pydantic_core-2.27.1-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-2.27.1-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-2.27.1-cp313-cp313-macosx_11_0_arm64.whl (1.8 MB view details)

Uploaded CPython 3.13 macOS 11.0+ ARM64

pydantic_core-2.27.1-cp313-cp313-macosx_10_12_x86_64.whl (1.9 MB view details)

Uploaded CPython 3.13 macOS 10.12+ x86-64

pydantic_core-2.27.1-cp312-none-win_arm64.whl (1.9 MB view details)

Uploaded CPython 3.12 Windows ARM64

pydantic_core-2.27.1-cp312-none-win_amd64.whl (2.0 MB view details)

Uploaded CPython 3.12 Windows x86-64

pydantic_core-2.27.1-cp312-none-win32.whl (1.8 MB view details)

Uploaded CPython 3.12 Windows x86

pydantic_core-2.27.1-cp312-cp312-musllinux_1_1_x86_64.whl (2.2 MB view details)

Uploaded CPython 3.12 musllinux: musl 1.1+ x86-64

pydantic_core-2.27.1-cp312-cp312-musllinux_1_1_armv7l.whl (2.1 MB view details)

Uploaded CPython 3.12 musllinux: musl 1.1+ ARMv7l

pydantic_core-2.27.1-cp312-cp312-musllinux_1_1_aarch64.whl (2.0 MB view details)

Uploaded CPython 3.12 musllinux: musl 1.1+ ARM64

pydantic_core-2.27.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.2 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

pydantic_core-2.27.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl (2.7 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ s390x

pydantic_core-2.27.1-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-2.27.1-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.9 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ARMv7l

pydantic_core-2.27.1-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-2.27.1-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-2.27.1-cp312-cp312-macosx_11_0_arm64.whl (1.8 MB view details)

Uploaded CPython 3.12 macOS 11.0+ ARM64

pydantic_core-2.27.1-cp312-cp312-macosx_10_12_x86_64.whl (1.9 MB view details)

Uploaded CPython 3.12 macOS 10.12+ x86-64

pydantic_core-2.27.1-cp311-none-win_arm64.whl (1.9 MB view details)

Uploaded CPython 3.11 Windows ARM64

pydantic_core-2.27.1-cp311-none-win_amd64.whl (2.0 MB view details)

Uploaded CPython 3.11 Windows x86-64

pydantic_core-2.27.1-cp311-none-win32.whl (1.8 MB view details)

Uploaded CPython 3.11 Windows x86

pydantic_core-2.27.1-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-2.27.1-cp311-cp311-musllinux_1_1_armv7l.whl (2.1 MB view details)

Uploaded CPython 3.11 musllinux: musl 1.1+ ARMv7l

pydantic_core-2.27.1-cp311-cp311-musllinux_1_1_aarch64.whl (2.0 MB view details)

Uploaded CPython 3.11 musllinux: musl 1.1+ ARM64

pydantic_core-2.27.1-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-2.27.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl (2.8 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ s390x

pydantic_core-2.27.1-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-2.27.1-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.9 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARMv7l

pydantic_core-2.27.1-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-2.27.1-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-2.27.1-cp311-cp311-macosx_11_0_arm64.whl (1.8 MB view details)

Uploaded CPython 3.11 macOS 11.0+ ARM64

pydantic_core-2.27.1-cp311-cp311-macosx_10_12_x86_64.whl (1.9 MB view details)

Uploaded CPython 3.11 macOS 10.12+ x86-64

pydantic_core-2.27.1-cp310-none-win_amd64.whl (2.0 MB view details)

Uploaded CPython 3.10 Windows x86-64

pydantic_core-2.27.1-cp310-none-win32.whl (1.8 MB view details)

Uploaded CPython 3.10 Windows x86

pydantic_core-2.27.1-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-2.27.1-cp310-cp310-musllinux_1_1_armv7l.whl (2.1 MB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ ARMv7l

pydantic_core-2.27.1-cp310-cp310-musllinux_1_1_aarch64.whl (2.0 MB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ ARM64

pydantic_core-2.27.1-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-2.27.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl (2.8 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ s390x

pydantic_core-2.27.1-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-2.27.1-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.9 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARMv7l

pydantic_core-2.27.1-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-2.27.1-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-2.27.1-cp310-cp310-macosx_11_0_arm64.whl (1.8 MB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

pydantic_core-2.27.1-cp310-cp310-macosx_10_12_x86_64.whl (1.9 MB view details)

Uploaded CPython 3.10 macOS 10.12+ x86-64

pydantic_core-2.27.1-cp39-none-win_amd64.whl (2.0 MB view details)

Uploaded CPython 3.9 Windows x86-64

pydantic_core-2.27.1-cp39-none-win32.whl (1.8 MB view details)

Uploaded CPython 3.9 Windows x86

pydantic_core-2.27.1-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-2.27.1-cp39-cp39-musllinux_1_1_armv7l.whl (2.1 MB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ ARMv7l

pydantic_core-2.27.1-cp39-cp39-musllinux_1_1_aarch64.whl (2.0 MB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ ARM64

pydantic_core-2.27.1-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-2.27.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl (2.8 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ s390x

pydantic_core-2.27.1-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-2.27.1-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.9 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARMv7l

pydantic_core-2.27.1-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-2.27.1-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-2.27.1-cp39-cp39-macosx_11_0_arm64.whl (1.8 MB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

pydantic_core-2.27.1-cp39-cp39-macosx_10_12_x86_64.whl (1.9 MB view details)

Uploaded CPython 3.9 macOS 10.12+ x86-64

pydantic_core-2.27.1-cp38-none-win_amd64.whl (2.0 MB view details)

Uploaded CPython 3.8 Windows x86-64

pydantic_core-2.27.1-cp38-none-win32.whl (1.8 MB view details)

Uploaded CPython 3.8 Windows x86

pydantic_core-2.27.1-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-2.27.1-cp38-cp38-musllinux_1_1_armv7l.whl (2.1 MB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ ARMv7l

pydantic_core-2.27.1-cp38-cp38-musllinux_1_1_aarch64.whl (2.0 MB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ ARM64

pydantic_core-2.27.1-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-2.27.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl (2.8 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ s390x

pydantic_core-2.27.1-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-2.27.1-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.9 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARMv7l

pydantic_core-2.27.1-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-2.27.1-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-2.27.1-cp38-cp38-macosx_11_0_arm64.whl (1.8 MB view details)

Uploaded CPython 3.8 macOS 11.0+ ARM64

pydantic_core-2.27.1-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-2.27.1.tar.gz.

File metadata

  • Download URL: pydantic_core-2.27.1.tar.gz
  • Upload date:
  • Size: 412.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.13.0

File hashes

Hashes for pydantic_core-2.27.1.tar.gz
Algorithm Hash digest
SHA256 62a763352879b84aa31058fc931884055fd75089cccbd9d58bb6afd01141b235
MD5 e4c770022c806b118d075418e34f54a8
BLAKE2b-256 a69f7de1f19b6aea45aeb441838782d68352e71bfa98ee6fa048d5041991b33e

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-pp310-pypy310_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-pp310-pypy310_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 981fb88516bd1ae8b0cbbd2034678a39dedc98752f264ac9bc5839d3923fa04c
MD5 5fabeed93ad3444a677ebf924ba53d55
BLAKE2b-256 3372f881b5e18fbb67cf2fb4ab253660de3c6899dbb2dba409d0b757e3559e3d

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 af52d26579b308921b73b956153066481f064875140ccd1dfd4e77db89dbb12f
MD5 37cab7d91266db85b89f3d3e4e2d4dc8
BLAKE2b-256 6571af01033d4e58484c3db1e5d13e751ba5e3d6b87cc3368533df4c50932c8b

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-pp310-pypy310_pp73-musllinux_1_1_armv7l.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-pp310-pypy310_pp73-musllinux_1_1_armv7l.whl
Algorithm Hash digest
SHA256 e173486019cc283dc9778315fa29a363579372fe67045e971e89b6365cc035ed
MD5 13dcd0e58c9c978e32325d3664e1d275
BLAKE2b-256 7ad28ce2b074d6835f3c88d85f6d8a399790043e9fdb3d0e43455e72d19df8cc

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 19910754e4cc9c63bc1c7f6d73aa1cfee82f42007e407c0f413695c2f7ed777f
MD5 6ee4bce30230dddb37cc12dd686b1abe
BLAKE2b-256 06aa6f1b2747f811a9c66b5ef39d7f02fbb200479784c75e98290d70004b1253

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 02a3d637bd387c41d46b002f0e49c52642281edacd2740e5a42f7017feea3f2c
MD5 d68e759763bd01a5367f5ccae0b41192
BLAKE2b-256 a1fffb1284a210e13a5f34c639efc54d51da136074ffbe25ec0c279cf9fbb1c4

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 0e4216e64d203e39c62df627aa882f02a2438d18a5f21d7f721621f7a5d3611d
MD5 bb5ee002d54f318905e37d3a908d9e35
BLAKE2b-256 8ffc5485cf0b0bb38da31d1d292160a4d123b5977841ddc1122c671a30b76cfd

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 161c27ccce13b6b0c8689418da3885d3220ed2eae2ea5e9b2f7f3d48f1d52c27
MD5 1869c907e966a93061caa746ac88ee38
BLAKE2b-256 f11477c1887a182d05af74f6aeac7b740da3a74155d3093ccc7ee10b900cc6b5

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-pp310-pypy310_pp73-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-pp310-pypy310_pp73-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 d950caa237bb1954f1b8c9227b5065ba6875ac9771bb8ec790d956a699b78676
MD5 4de80831b7ffc2211a729ebc611554e2
BLAKE2b-256 6120da7059855225038c1c4326a840908cc7ca72c7198cb6addb8b92ec81c1d6

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-pp310-pypy310_pp73-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-pp310-pypy310_pp73-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 3fa80ac2bd5856580e242dbc202db873c60a01b20309c8319b5c5986fbe53ce6
MD5 3b26343bd5fef03ef0b24670136cbba5
BLAKE2b-256 7c60e5eb2d462595ba1f622edbe7b1d19531e510c05c405f0b87c80c1e89d5b1

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-pp39-pypy39_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-pp39-pypy39_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 62ba45e21cf6571d7f716d903b5b7b6d2617e2d5d67c0923dc47b9d41369f840
MD5 0f88f9adf0fad18999c60b8bebc889aa
BLAKE2b-256 fdab718d9a1c41bb8d3e0e04d15b68b8afc135f8fcf552705b62f226225065c7

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 46ccfe3032b3915586e469d4972973f893c0a2bb65669194a5bdea9bacc088c2
MD5 e841818d7432a2720e6882ea69b368e3
BLAKE2b-256 f3652caf4f7ad65413a137d43cb9578c54d1abd3224be786ad840263c1bf9e0f

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-pp39-pypy39_pp73-musllinux_1_1_armv7l.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-pp39-pypy39_pp73-musllinux_1_1_armv7l.whl
Algorithm Hash digest
SHA256 1c39b07d90be6b48968ddc8c19e7585052088fd7ec8d568bb31ff64c70ae3c97
MD5 1b9f51be077ec920e542046aef6414a8
BLAKE2b-256 5b7ef7191346d1c3ac66049f618ee331359f8552a8b68a2daf916003c30b6dc8

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 7699b1df36a48169cdebda7ab5a2bac265204003f153b4bd17276153d997670a
MD5 8b50808b60097ddb46dcb5c45c8a60cc
BLAKE2b-256 f0055d09d0b0e92053d538927308ea1d35cb25ab543d9c3e2eb2d7653bc73690

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 98476c98b02c8e9b2eec76ac4156fd006628b1b2d0ef27e548ffa978393fd154
MD5 813ef078546d15e0b6fdd3feecb11fc5
BLAKE2b-256 fe0ba24d9ef762d05bebdfafd6d5d176b990728fa9ec8ea7b6040d6fb5f3caaa

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 9c10c309e18e443ddb108f0ef64e8729363adbfd92d6d57beec680f6261556f3
MD5 c869bbc779ee2fb5bb67290c52892127
BLAKE2b-256 7fee0377e9f4ca5a47e8885f670a65c0a647ddf9ce98d50bf7547cf8e1ee5771

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 c3027001c28434e7ca5a6e1e527487051136aa81803ac812be51802150d880dd
MD5 cf16cb5852c46a276c1eda2bb8902bbd
BLAKE2b-256 00bddeadc1722eb7dfdf787a3bbcd32eabbdcc36931fd48671a850e1b9f2cd77

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-pp39-pypy39_pp73-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-pp39-pypy39_pp73-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 816f5aa087094099fff7edabb5e01cc370eb21aa1a1d44fe2d2aefdfb5599b31
MD5 b340ebb205674a740f7d3f349d313297
BLAKE2b-256 d32da40578918e2eb5b4ee0d206a4fb6c4040c2bf14e28d29fba9bd7e7659d16

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-pp39-pypy39_pp73-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-pp39-pypy39_pp73-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 5fde892e6c697ce3e30c61b239330fc5d569a71fefd4eb6512fc6caec9dd9e2f
MD5 6da1d0ada5003ab4e5e2547616ea301d
BLAKE2b-256 853ef6f75ba36678fee11dd07a7729e9ed172ecf31e3f50a5d636e9605eee2af

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp313-none-win_arm64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp313-none-win_arm64.whl
Algorithm Hash digest
SHA256 45cf8588c066860b623cd11c4ba687f8d7175d5f7ef65f7129df8a394c502de5
MD5 84b23e3217c973cda9832e14d14ac803
BLAKE2b-256 dfc3b15fb833926d91d982fde29c0624c9f225da743c7af801dace0d4e187e71

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp313-none-win_amd64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp313-none-win_amd64.whl
Algorithm Hash digest
SHA256 ba630d5e3db74c79300d9a5bdaaf6200172b107f263c98a0539eeecb857b2337
MD5 cd548299364814345d777382d3452fda
BLAKE2b-256 83845ab82a9ee2538ac95a66e51f6838d6aba6e0a03a42aa185ad2fe404a4e8f

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp313-none-win32.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp313-none-win32.whl
Algorithm Hash digest
SHA256 8065914ff79f7eab1599bd80406681f0ad08f8e47c880f17b416c9f8f7a26d05
MD5 a96a33e712955b3ab4e9b14545e044e4
BLAKE2b-256 78d8c080592d80edd3441ab7f88f865f51dae94a157fc64283c680e9f32cf6da

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp313-cp313-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp313-cp313-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 58ca98a950171f3151c603aeea9303ef6c235f692fe555e883591103da709b23
MD5 c5d20661ee4b76651cc9bf731b79e492
BLAKE2b-256 bacc8491fff5b608b3862eb36e7d29d36a1af1c945463ca4c5040bf46cc73f40

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp313-cp313-musllinux_1_1_armv7l.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp313-cp313-musllinux_1_1_armv7l.whl
Algorithm Hash digest
SHA256 a0697803ed7d4af5e4c1adf1670af078f8fcab7a86350e969f454daf598c4960
MD5 dd597b8abf071db318868b2a96b9d570
BLAKE2b-256 55b7e26adf48c2f943092ce54ae14c3c08d0d221ad34ce80b18a50de8ed2cba8

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp313-cp313-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp313-cp313-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 062f60e512fc7fff8b8a9d680ff0ddaaef0193dba9fa83e679c0c5f5fbd018bc
MD5 2b7b7a6ec14fdff08952cdde484bcfdf
BLAKE2b-256 bfbaae4480bc0292d54b85cfb954e9d6bd226982949f8316338677d56541b85f

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c65af9088ac534313e1963443d0ec360bb2b9cba6c2909478d22c2e363d98a51
MD5 a6b6a21084fc648766b8723499318743
BLAKE2b-256 9da0cd8e9c940ead89cc37812a1a9f310fef59ba2f0b22b4e417d84ab09fa970

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 3ccaa88b24eebc0f849ce0a4d09e8a408ec5a94afff395eb69baf868f5183107
MD5 f08cebaf503192c4a4a68f17443784ee
BLAKE2b-256 4201295f0bd4abf58902917e342ddfe5f76cf66ffabfc57c2e23c7681a1a1197

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 1c00666a3bd2f84920a4e94434f5974d7bbc57e461318d6bb34ce9cdbbc1f6b2
MD5 730b6f48f0ed8e00d3e97a5a36718bf9
BLAKE2b-256 5f97be804aed6b479af5a945daec7538d8bf358d668bdadde4c7888a2506bdfb

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 764be71193f87d460a03f1f7385a82e226639732214b402f9aa61f0d025f0737
MD5 f2f9485fa1ffcad08cbe267faaf6d1ed
BLAKE2b-256 e3f3363652651779113189cefdbbb619b7b07b7a67ebb6840325117cc8cc3460

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 42b0e23f119b2b456d07ca91b307ae167cc3f6c846a7b169fca5326e32fdc6cf
MD5 c876fdd412b0d14d9432501c59fb7682
BLAKE2b-256 41c2491b59e222ec7e72236e512108ecad532c7f4391a14e971c963f624f7569

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 206b5cf6f0c513baffaeae7bd817717140770c74528f3e4c3e1cec7871ddd61a
MD5 bcfbc357d87fabda87f7faa5ae2a166a
BLAKE2b-256 73ae9d0980e286627e0aeca4c352a60bd760331622c12d576e5ea4441ac7e15e

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp313-cp313-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp313-cp313-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 a2e02889071850bbfd36b56fd6bc98945e23670773bc7a76657e90e6b6603c08
MD5 e922d6c37eb6ddeaf6ff01ed82e94434
BLAKE2b-256 0742d35033f81a28b27dedcade9e967e8a40981a765795c9ebae2045bcef05d3

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp313-cp313-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp313-cp313-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 f216dbce0e60e4d03e0c4353c7023b202d95cbaeff12e5fd2e82ea0a66905073
MD5 d1c0e396574c369943a2fdc1a33a970c
BLAKE2b-256 0fd691cb99a3c59d7b072bded9959fbeab0a9613d5a4935773c0801f1764c156

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp312-none-win_arm64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp312-none-win_arm64.whl
Algorithm Hash digest
SHA256 9a3b0793b1bbfd4146304e23d90045f2a9b5fd5823aa682665fbdaf2a6c28f3e
MD5 95f9ea6a29f66887770503c0dfdcf383
BLAKE2b-256 dfa6e3f12ff25f250b02f7c51be89a294689d175ac76e1096c32bf278f29ca1e

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp312-none-win_amd64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp312-none-win_amd64.whl
Algorithm Hash digest
SHA256 66ff044fd0bb1768688aecbe28b6190f6e799349221fb0de0e6f4048eca14c16
MD5 317a3bf677b40481f2c8e83071489bc4
BLAKE2b-256 eef2c61486eee27cae5ac781305658779b4a6b45f9cc9d02c90cb21b940e82cc

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp312-none-win32.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp312-none-win32.whl
Algorithm Hash digest
SHA256 672ebbe820bb37988c4d136eca2652ee114992d5d41c7e4858cdd90ea94ffe5c
MD5 b6f6b4f1ace763af67b5f265f7a90c1d
BLAKE2b-256 52e54f0fbd5c5995cc70d3afed1b5c754055bb67908f55b5cb8000f7112749bf

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp312-cp312-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp312-cp312-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 f4e5658dbffe8843a0f12366a4c2d1c316dbe09bb4dfbdc9d2d9cd6031de8aae
MD5 b4bf316cc38230b7cd02b7a08e063d8f
BLAKE2b-256 d836eb8697729725bc610fd73940f0d860d791dc2ad557faaefcbb3edbd2b349

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp312-cp312-musllinux_1_1_armv7l.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp312-cp312-musllinux_1_1_armv7l.whl
Algorithm Hash digest
SHA256 e1f735dc43da318cad19b4173dd1ffce1d84aafd6c9b782b3abc04a0d5a6f5bb
MD5 56bca40f8130d9293ceeb2ae52acaecc
BLAKE2b-256 f2a90eaceeba41b9fad851a4107e0cf999a34ae8f0d0d1f829e2574f3d8897b0

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp312-cp312-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp312-cp312-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 dc61505e73298a84a2f317255fcc72b710b72980f3a1f670447a21efc88f8381
MD5 5de659f687a6a3c4d68c3337288f1bc9
BLAKE2b-256 77294bb008823a7f4cc05828198153f9753b3bd4c104d93b8e0b1bfe4e187540

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 7597c07fbd11515f654d6ece3d0e4e5093edc30a436c63142d9a4b8e22f19c35
MD5 6833a96fe9864c9980384a644a20a178
BLAKE2b-256 8ac68ae0831bf77f356bb73127ce5a95fe115b10f820ea480abbd72d3cc7ccf3

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 0325336f348dbee6550d129b1627cb8f5351a9dc91aad141ffb96d4937bd9529
MD5 9fa9fd1147f07b56ba0928f4dd2b3561
BLAKE2b-256 b1e24ab72d93367194317b99d051947c071aef6e3eb95f7553eaa4208ecf9ba4

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 992cea5f4f3b29d6b4f7f1726ed8ee46c8331c6b4eed6db5b40134c6fe1768bb
MD5 6bfee9160e7f45b9dbed39e749ee4e77
BLAKE2b-256 d5ca3370074ad758b04d9562b12ecdb088597f4d9d13893a48a583fb47682cdf

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 1ba5e3963344ff25fc8c40da90f44b0afca8cfd89d12964feb79ac1411a260ac
MD5 dc63d1f9c93a7a86bdfb8b7eb03451e6
BLAKE2b-256 be6580ff46de4266560baa4332ae3181fffc4488ea7d37282da1a62d10ab89a4

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 15aae984e46de8d376df515f00450d1522077254ef6b7ce189b38ecee7c9677c
MD5 5abd463f80d28b41e046dcb22d9165c8
BLAKE2b-256 2c9de1d6c4561d262b52e41b17a7ef8301e2ba80b61e32e94520271029feb5d8

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 3bbd5d8cc692616d5ef6fbbbd50dbec142c7e6ad9beb66b78a96e9c16729b089
MD5 b7e78f6fe0c0058d21c515ebd768e1a4
BLAKE2b-256 f1f4b2fe73241da2429400fc27ddeaa43e35562f96cf5b67499b2de52b528cad

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 5f8c4718cd44ec1580e180cb739713ecda2bdee1341084c1467802a417fe0f02
MD5 c889bc3330027d58b725f76d7c4a69dd
BLAKE2b-256 7b9ef8063952e4a7d0127f5d1181addef9377505dcce3be224263b25c4f0bfd9

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp312-cp312-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp312-cp312-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 9cbd94fc661d2bab2bc702cddd2d3370bbdcc4cd0f8f57488a81bcce90c7a54f
MD5 6137f9b3199e99483958aa04d7d3fc35
BLAKE2b-256 be512e9b3788feb2aebff2aa9dfbf060ec739b38c05c46847601134cc1fed2ea

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp311-none-win_arm64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp311-none-win_arm64.whl
Algorithm Hash digest
SHA256 81f2ec23ddc1b476ff96563f2e8d723830b06dceae348ce02914a37cb4e74b89
MD5 c09d219c1fe4d3e12f5a066003e0fc9a
BLAKE2b-256 50fc93f7238a514c155a8ec02fc7ac6376177d449848115e4519b853820436c5

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp311-none-win_amd64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp311-none-win_amd64.whl
Algorithm Hash digest
SHA256 3af385b0cee8df3746c3f406f38bcbfdc9041b5c2d5ce3e5fc6637256e60bbc5
MD5 a333e070656384678c37cab5ec864794
BLAKE2b-256 6afe4e0e63c418c1c76e33974a05266e5633e879d4061f9533b1706a86f77d5b

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp311-none-win32.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp311-none-win32.whl
Algorithm Hash digest
SHA256 2cdf7d86886bc6982354862204ae3b2f7f96f21a3eb0ba5ca0ac42c7b38598b9
MD5 9f79f75b40ad2dd5dd129bd69faa6201
BLAKE2b-256 3ef8171a03e97eb36c0b51981efe0f78460554a1d8311773d3d30e20c005164e

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp311-cp311-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp311-cp311-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 d1b26e1dff225c31897696cab7d4f0a315d4c0d9e8666dbffdb28216f3b17fdc
MD5 6c074bfcc70e52d5f5f69104fcf3afbf
BLAKE2b-256 8dc8b4139b2f78579960353c4cd987e035108c93a78371bb19ba0dc1ac3b3220

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp311-cp311-musllinux_1_1_armv7l.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp311-cp311-musllinux_1_1_armv7l.whl
Algorithm Hash digest
SHA256 35c14ac45fcfdf7167ca76cc80b2001205a8d5d16d80524e13508371fb8cdd9c
MD5 0a018d4b7792fead80b034a307aa06d4
BLAKE2b-256 73c378ed6b7f3278a36589bcdd01243189ade7fc9b26852844938b4d7693895b

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp311-cp311-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp311-cp311-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 258c57abf1188926c774a4c94dd29237e77eda19462e5bb901d88adcab6af919
MD5 289d644682b6ee83bdc508d04772efa5
BLAKE2b-256 0572257b5824d7988af43460c4e22b63932ed651fe98804cc2793068de7ec554

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 acc07b2cfc5b835444b44a9956846b578d27beeacd4b52e45489e93276241025
MD5 a43bd1597a9ab86e18830dca078141c4
BLAKE2b-256 4ac13e38cd777ef832c4fdce11d204592e135ddeedb6c6f525478a53d1c7d3e5

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 84286494f6c5d05243456e04223d5a9417d7f443c3b76065e75001beb26f88de
MD5 f79e18d0f9cc7740cd5494609730fda1
BLAKE2b-256 34aca2537958db8299fbabed81167d58cc1506049dba4163433524e06a7d9f4c

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 a3cb37038123447cf0f3ea4c74751f6a9d7afef0eb71aa07bf5f652b5e6a132c
MD5 bb69640630f83b040996c091c7f1f0e2
BLAKE2b-256 5f847db66eb12a0dc88c006abd6f3cbbf4232d26adfd827a28638c540d8f871d

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 bed0f8a0eeea9fb72937ba118f9db0cb7e90773462af7962d382445f3005e5a4
MD5 d5783c2d6e528af556b75a2e1b08c203
BLAKE2b-256 5fd9c01d19da8f9e9fbdb2bf99f8358d145a312590374d0dc9dd8dbe484a9cde

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 7f7059ca8d64fea7f238994c97d91f75965216bcbe5f695bb44f354893f11d52
MD5 3992f447246c499c6ed37ec7df65d304
BLAKE2b-256 01dedf51b3bac9820d38371f5a261020f505025df732ce566c2a2e7970b84c8c

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 4fefee876e07a6e9aad7a8c8c9f85b0cdbe7df52b8a9552307b09050f7512c7e
MD5 ee16179b41bc1d85187764345e117935
BLAKE2b-256 7a69b9952829f80fd555fe04340539d90e000a146f2a003d3fcd1e7077c06c71

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 a5a8e19d7c707c4cadb8c18f5f60c843052ae83c20fa7d44f41594c644a1d330
MD5 1aedb59fb41d6235bb657f19ac3b3499
BLAKE2b-256 1c000804e84a78b7fdb394fff4c4f429815a10e5e0993e6ae0e0b27dd20379ee

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp311-cp311-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp311-cp311-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 ac3b20653bdbe160febbea8aa6c079d3df19310d50ac314911ed8cc4eb7f8cb8
MD5 9c7ccbff06541fcb6dea0a7180a988e6
BLAKE2b-256 273946fe47f2ad4746b478ba89c561cafe4428e02b3573df882334bd2964f9cb

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp310-none-win_amd64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp310-none-win_amd64.whl
Algorithm Hash digest
SHA256 57866a76e0b3823e0b56692d1a0bf722bffb324839bb5b7226a7dbd6c9a40b17
MD5 920849f5c9e5da8640a9bdfb2bca5e0e
BLAKE2b-256 d74155a117acaeda25ceae51030b518032934f251b1dac3704a53781383e3491

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp310-none-win32.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp310-none-win32.whl
Algorithm Hash digest
SHA256 f5a823165e6d04ccea61a9f0576f345f8ce40ed533013580e087bd4d7442b52c
MD5 fd4d60344509f0920a0163bc1e4aa18f
BLAKE2b-256 1f1c875ac7139c958f4390f23656fe696d1acc8edf45fb81e4831960f12cd6e4

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp310-cp310-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp310-cp310-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 f69ed81ab24d5a3bd93861c8c4436f54afdf8e8cc421562b0c7504cf3be58206
MD5 7c27738783a172e927f5cbacdeff2d53
BLAKE2b-256 8c7f4bf8e9d26a9118521c80b229291fa9558a07cdd9a968ec2d5c1026f14fbc

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp310-cp310-musllinux_1_1_armv7l.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp310-cp310-musllinux_1_1_armv7l.whl
Algorithm Hash digest
SHA256 5556470f1a2157031e676f776c2bc20acd34c1990ca5f7e56f1ebf938b9ab57c
MD5 7f3b93b1241d06346fa65778f3d4c56b
BLAKE2b-256 6eb2610dbeb74d8d43921a7234555e4c091cb050a2bdb8cfea86d07791ce01c5

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp310-cp310-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp310-cp310-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 655d7dd86f26cb15ce8a431036f66ce0318648f8853d709b4167786ec2fa4807
MD5 68f4a1bb5b4f876930dba27680790d9a
BLAKE2b-256 49ec557dd4ff5287ffffdf16a31d08d723de6762bb1b691879dc4423392309bc

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 45d9c5eb9273aa50999ad6adc6be5e0ecea7e09dbd0d31bd0c65a55a2592ca08
MD5 f69e32f5975d68c48e7b1c2b60d32540
BLAKE2b-256 021d00f2e4626565b3b6d3690dab4d4fe1a26edd6a20e53749eb21ca892ef2df

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 15cc53a3179ba0fcefe1e3ae50beb2784dede4003ad2dfd24f81bba4b23a454f
MD5 a5f9caf9063c5425486e8996b8d6fbb4
BLAKE2b-256 e48f979ab3eccd118b638cd6d8f980fea8794f45018255a36044dea40fe579d4

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 a33cd6ad9017bbeaa9ed78a2e0752c5e250eafb9534f308e7a5f7849b0b1bfb4
MD5 d6e9b3dcb9035690c4c6b9d38b6c6f5a
BLAKE2b-256 535ec32957a09cceb2af10d7642df45d1e3dbd8596061f700eac93b801de53c0

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 4603137322c18eaf2e06a4495f426aa8d8388940f3c457e7548145011bb68e05
MD5 85e7009148e1b93b2e625ee2c084adc8
BLAKE2b-256 7c0c24841136476adafd26f94b45bb718a78cb0500bd7b4f8d667b67c29d7b0d

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 121ceb0e822f79163dd4699e4c54f5ad38b157084d97b34de8b232bcaad70278
MD5 a6fdbf0ec923f6c9577e3d2f43819208
BLAKE2b-256 017259a70165eabbc93b1111d42df9ca016a4aa109409db04304829377947028

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 8bf7b66ce12a2ac52d16f776b31d16d91033150266eb796967a7e4621707e4f6
MD5 65ddcd5e43d5a19b340c36e59bcb2ae0
BLAKE2b-256 9d463112621204128b90898adc2e721a3cd6cf5626504178d6f32c33b5a43b79

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 f82d068a2d6ecfc6e054726080af69a6764a10015467d7d7b9f66d6ed5afa23b
MD5 55578e784876997829c40c617b34e61e
BLAKE2b-256 fdb984623d6b6be98cc209b06687d9bca5a7b966ffed008d15225dd0d20cce2e

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp310-cp310-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp310-cp310-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 71a5e35c75c021aaf400ac048dacc855f000bdfed91614b4a726f7432f1f3d6a
MD5 6a55f223aa4a49143c4efbb6a9961fff
BLAKE2b-256 6ece60fd96895c09738648c83f3f00f595c807cb6735c70d3306b548cc96dd49

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp39-none-win_amd64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp39-none-win_amd64.whl
Algorithm Hash digest
SHA256 a57847b090d7892f123726202b7daa20df6694cbd583b67a592e856bff603d6c
MD5 d79a0271e98bc9775355d3f1de6e81b0
BLAKE2b-256 f79ce83f08adc8e222b43c7f11d98b27eba08f21bcb259bcbf74743ce903c49c

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp39-none-win32.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp39-none-win32.whl
Algorithm Hash digest
SHA256 7ccebf51efc61634f6c2344da73e366c75e735960b5654b63d7e6f69a5885fa3
MD5 0813f8ac0464e3da1bdba67b6c03d50f
BLAKE2b-256 545823caa58c35d36627156789c0fb562264c12cfdb451c75eb275535188a96f

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp39-cp39-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp39-cp39-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 38de0a70160dd97540335b7ad3a74571b24f1dc3ed33f815f0880682e6880131
MD5 16e25072a1dbe0f6191a1f69453f8546
BLAKE2b-256 06845a332345b7efb5ab361f916eaf7316ef010e72417e8c7dd3d34462ee9840

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp39-cp39-musllinux_1_1_armv7l.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp39-cp39-musllinux_1_1_armv7l.whl
Algorithm Hash digest
SHA256 00e6424f4b26fe82d44577b4c842d7df97c20be6439e8e685d0d715feceb9fb9
MD5 6f88885d6d6fa41f98aff8163846156a
BLAKE2b-256 dd044e18f2c42b29929882f30e4c09a3a039555158995a4ac730a73585198a66

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp39-cp39-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp39-cp39-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 b94d4ba43739bbe8b0ce4262bcc3b7b9f31459ad120fb595627eaeb7f9b9ca01
MD5 3f390474c3b1c398985f7f2033663664
BLAKE2b-256 ce5cb1c417a5fd67ce132d78d16a6ba7629dc7f188dbd4f7c30ef58111ee5147

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 6e0bd57539da59a3e4671b90a502da9a28c72322a4f17866ba3ac63a82c4498e
MD5 e50e1a509aa6ea3527895f44c18826f5
BLAKE2b-256 85d7936846087424c882d89c853711687230cd60179a67c79c34c99b64f92625

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 5ca038c7f6a0afd0b2448941b6ef9d5e1949e999f9e5517692eb6da58e9d44be
MD5 cc315e80fe357f76dd4f2c88228c6afe
BLAKE2b-256 5ebb5e912d02dcf29aebb2da35e5a1a26088c39ffc0b1ea81242ee9db6f1f730

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 3b748c44bb9f53031c8cbc99a8a061bc181c1000c60a30f55393b6e9c45cc5bd
MD5 6091057278eeac2ce9db0259d7bba4a7
BLAKE2b-256 72e9974e6c73f59627c446833ecc306cadd199edab40abcfa093372a5a5c0156

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 aee66be87825cdf72ac64cb03ad4c15ffef4143dbf5c113f64a5ff4f81477bf9
MD5 a167a8a0f85d5645e3786c85f906a72d
BLAKE2b-256 d98383ff64d599847f080a93df119e856e3bd93063cced04b9a27eb66d863831

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 0b3dfe500de26c52abe0477dde16192ac39c98f05bf2d80e76102d394bd13854
MD5 8f8a7a48c252801af0b3251afe5ef2ff
BLAKE2b-256 36b86f1b7c5f068c00dfe179b8762bc1d32c75c0e9f62c9372174b1b64a74aa8

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 ac6c2c45c847bbf8f91930d88716a0fb924b51e0c6dad329b793d670ec5db792
MD5 964967a9ffde929d2dec48ff608b69e2
BLAKE2b-256 82725a386e5ce8d3e933c3f283e61357474181c39383f38afffc15a6152fa1c5

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 4228b5b646caa73f119b1ae756216b59cc6e2267201c27d3912b592c5e323b60
MD5 765046e36cc5ceeadeddd1d2286d1c72
BLAKE2b-256 bd686ba18e30f10c7051bc55f1dffeadbee51454b381c91846104892a6d3b9cd

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp39-cp39-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp39-cp39-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 e9386266798d64eeb19dd3677051f5705bf873e98e15897ddb7d76f477131967
MD5 3ecd35a0901141d7809608b78e5377f9
BLAKE2b-256 bc6ad741ce0c7da75ce9b394636a406aace00ad992ae417935ef2ad2e67fb970

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp38-none-win_amd64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp38-none-win_amd64.whl
Algorithm Hash digest
SHA256 2d4567c850905d5eaaed2f7a404e61012a51caf288292e016360aa2b96ff38d4
MD5 44083a68688747384096dc15c2dab5d9
BLAKE2b-256 6e8926816cad528ca5d4af9be33aa91507504c4576100e53b371b5bc6d3c797b

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp38-none-win32.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp38-none-win32.whl
Algorithm Hash digest
SHA256 a28af0695a45f7060e6f9b7092558a928a28553366519f64083c63a44f70e618
MD5 f2b6615b91c1f400f9bad07e248b6a0b
BLAKE2b-256 7282e236d762052d24949aabad3952bc2c8635a470d6f3cbdd69498692afa679

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp38-cp38-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp38-cp38-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 029d9757eb621cc6e1848fa0b0310310de7301057f623985698ed7ebb014391b
MD5 b8f1999aec825b8156dc538b224caea0
BLAKE2b-256 8f6103576dac806c49e76a714c23f501420b0aeee80f97b995fc4b28fe63a010

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp38-cp38-musllinux_1_1_armv7l.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp38-cp38-musllinux_1_1_armv7l.whl
Algorithm Hash digest
SHA256 159cac0a3d096f79ab6a44d77a961917219707e2a130739c64d4dd46281f5c2a
MD5 a9d7cd8e5ebb3daef2a4d34b5adfbe58
BLAKE2b-256 332a9a1cd4c8aca242816be431583a3250797f2932fad32d35ad5aefcea179bc

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp38-cp38-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp38-cp38-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 8f1edcea27918d748c7e5e4d917297b2a0ab80cad10f86631e488b7cddf76a36
MD5 bef5ece6152e6370f6eaf6d11743b4f2
BLAKE2b-256 5d4c486d8ddd595892e7d791f26dfd3e51bd8abea478eb7747fe2bbe890a2177

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 9fdcf339322a3fae5cbd504edcefddd5a50d9ee00d968696846f089b4432cf78
MD5 0e2a4739e57f7ec50ba4c56c8defd13c
BLAKE2b-256 9ab1f164d05be347b99b91327ea9dd1118562951d2c86e1ea943ef73636b0810

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 64c65f40b4cd8b0e049a8edde07e38b476da7e3aaebe63287c899d2cff253fa5
MD5 0b6f689451e0724c398150d9eb2aa1fb
BLAKE2b-256 1d0e73e0d1dff37a29c31e5b3e8587d228ced736cc7af9f81f6d7d06aa47576c

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 9a42d6a8156ff78981f8aa56eb6394114e0dedb217cf8b729f438f643608cbcd
MD5 c8a19e9ae69c02dde8b9efbb10d23049
BLAKE2b-256 6b4ecdee588a7440bc58b6351e8b8dc2432e38b1144b5ae6625bfbdfb7fa76d9

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 5f6c8a66741c5f5447e047ab0ba7a1c61d1e95580d64bce852e3df1f895c4067
MD5 e03708517b8efdd042d0aea8d269e931
BLAKE2b-256 fe1682e0849b3c6deb0330c07f1a8d55708d003ec8b1fd38ac84c7a830e25252

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 6b9af86e1d8e4cfc82c2022bfaa6f459381a50b94a29e95dcdda8442d6d83864
MD5 390caa477cc9d46e27544e69988f2de1
BLAKE2b-256 11e233629134e577543b9335c5ca9bbfd2348f5023fda956737777a7a3b86788

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 bf99c8404f008750c846cb4ac4667b798a9f7de673ff719d705d9b2d6de49c5f
MD5 0330a17d5ddd955a3e18010e5a5018b8
BLAKE2b-256 7244cf1f20d3036d7e1545eafde0af4f3172075573a407a3a20313115c8990ff

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 d0165ab2914379bd56908c02294ed8405c252250668ebcb438a55494c69f44ab
MD5 a2c2573c2ad8340fca35fed39c40c22c
BLAKE2b-256 9b59e224c93f95ffd4f5d37f1d148c569eda8ae23446ab8daf3a211ac0533e08

See more details on using hashes here.

File details

Details for the file pydantic_core-2.27.1-cp38-cp38-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for pydantic_core-2.27.1-cp38-cp38-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 5897bec80a09b4084aee23f9b73a9477a46c3304ad1d2d07acca19723fb1de62
MD5 2f5d12c72f64e49dfe82081d9beea603
BLAKE2b-256 97bbc62074a65a32ed279bef44862e89fabb5ab1a81df8a9d383bddb4f49a1e0

See more details on using hashes here.

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