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Project description
pydantic-core
This package provides the core functionality for pydantic validation and serialization.
Pydantic-core is currently around 17x faster than pydantic V1.
See tests/benchmarks/
for details.
Example of direct usage
NOTE: You should not need to use pydantic-core directly; instead, use pydantic, which in turn uses pydantic-core.
from pydantic_core import SchemaValidator, ValidationError
v = SchemaValidator(
{
'type': 'typed-dict',
'fields': {
'name': {
'type': 'typed-dict-field',
'schema': {
'type': 'str',
},
},
'age': {
'type': 'typed-dict-field',
'schema': {
'type': 'int',
'ge': 18,
},
},
'is_developer': {
'type': 'typed-dict-field',
'schema': {
'type': 'default',
'schema': {'type': 'bool'},
'default': True,
},
},
},
}
)
r1 = v.validate_python({'name': 'Samuel', 'age': 35})
assert r1 == {'name': 'Samuel', 'age': 35, 'is_developer': True}
# pydantic-core can also validate JSON directly
r2 = v.validate_json('{"name": "Samuel", "age": 35}')
assert r1 == r2
try:
v.validate_python({'name': 'Samuel', 'age': 11})
except ValidationError as e:
print(e)
"""
1 validation error for model
age
Input should be greater than or equal to 18
[type=greater_than_equal, context={ge: 18}, input_value=11, input_type=int]
"""
Getting Started
You'll need rust stable installed, or rust nightly if you want to generate accurate coverage.
With rust and python 3.7+ installed, compiling pydantic-core should be possible with roughly the following:
# clone this repo or your fork
git clone git@github.com:pydantic/pydantic-core.git
cd pydantic-core
# create a new virtual env
python3 -m venv env
source env/bin/activate
# install dependencies and install pydantic-core
make install
That should be it, the example shown above should now run.
You might find it useful to look at python/pydantic_core/_pydantic_core.pyi
and
python/pydantic_core/core_schema.py
for more information on the python API,
beyond that, tests/
provide a large number of examples of usage.
If you want to contribute to pydantic-core, you'll want to use some other make commands:
make build-dev
to build the package during developmentmake build-prod
to perform an optimised build for benchmarkingmake test
to run the testsmake testcov
to run the tests and generate a coverage reportmake lint
to run the lintermake format
to format python and rust codemake
to runformat 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
- Bump package version locally. Do not just edit
Cargo.toml
on Github, you need bothCargo.toml
andCargo.lock
to be updated. - Make a PR for the version bump and merge it.
- Go to https://github.com/pydantic/pydantic-core/releases and click "Draft a new release"
- 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. - Enter the release title in the form "v<the.new.version> "
- Click Generate release notes button
- Click Publish release
- Go to https://github.com/pydantic/pydantic-core/actions and ensure that all build for release are done successfully.
- Go to https://pypi.org/project/pydantic-core/ and ensure that the latest release is published.
- Done 🎉
Project details
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MD5 | 9f9da20c095ce708a7d229f7bb7a0fbb |
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BLAKE2b-256 | 28e1a590c9cfadd82427411809ffc5f864667c1523227462f60a83b338886b75 |
Hashes for pydantic_core-2.5.0-cp312-cp312-macosx_11_0_arm64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 8ab23c49d46473938bb8c01dee6378fd1f6c49bf43b75d5537af3e8135e55488 |
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MD5 | 4b919a293cd9e64c061cd1cf20dc3f2b |
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BLAKE2b-256 | d07b11a4ebc8b962beb08bbe4dd4c5785edc5e18036b34e6ab4dfbd3486b7e07 |
Hashes for pydantic_core-2.5.0-cp312-cp312-macosx_10_7_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | bd8abcb45436b75bf8d343314f6e73798d3de048b23bbb54c58c32019be21d62 |
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MD5 | bae444d9a6c2ebbd389c278cc7577017 |
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BLAKE2b-256 | ad107d979085a56bfc0511b8d6ee2d746eff0f890a503a003b59d4abd10e562c |
Hashes for pydantic_core-2.5.0-cp311-none-win_arm64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | a9e22b00c131477e50ec2c8c348c21855b4b151a04278635ed7c12b295917ccd |
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MD5 | 49ffc89900cd4dd540f82a0cc321f1dc |
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BLAKE2b-256 | 2721ed928fb41d194b72f2879c4002b25b4c51dec118342a5e2f98b2812c2592 |
Hashes for pydantic_core-2.5.0-cp311-none-win_amd64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 3ac8bd24ddfab484951d0139fb7b4ed4012e4c07bf3f725a38e9ab8a53a4c39e |
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MD5 | 4fcfb13d55aabdaa30f1960a8e677677 |
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BLAKE2b-256 | 299ca0ba345d591a7b007c5fecfd3e3a228d111281ec3cd5fdb06478471b2127 |
Hashes for pydantic_core-2.5.0-cp311-none-win32.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | b9ab6d078f8096a6a8396ffbccb34aa24cc4082d58c1ed2a65e3bc7c9e70cf98 |
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MD5 | 0175551646380a385aa19876924d20bc |
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BLAKE2b-256 | 1524c1cd0cd37d93b24458942c7cc33453f10002af37483ce0dea514b404bf1c |
Hashes for pydantic_core-2.5.0-cp311-cp311-musllinux_1_1_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 5b019b2d328911fb423a4f0f7d3c1819cc41a20a166c05352ee2980d8a1ea5f5 |
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MD5 | e52db5a265a778423310f73786b14b8d |
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BLAKE2b-256 | 43c5e0295bec923c517ce90702bfce322d1032aff3569b3eb20a0a2b2b93ef49 |
Hashes for pydantic_core-2.5.0-cp311-cp311-musllinux_1_1_aarch64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 551fdfb76648fb87b33bb24296b265581c2a00a6ae59d937bbda72db5aa469f1 |
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MD5 | a409d974c6823b9fe37bcd2fc3824659 |
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BLAKE2b-256 | 5c96d2548af7957f49995d23dbd4a8c7a0623f4ad7121710c99f96d8cbda26e1 |
Hashes for pydantic_core-2.5.0-cp311-cp311-manylinux_2_24_s390x.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 0f3a6deda373e1d8441a9923ca706cf6b1ff7d1b7c6d6ceef4ba40fe79452b4b |
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MD5 | 86aeab4381630ee431f67e20f967f5f7 |
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BLAKE2b-256 | 82acba23294ac601615396852806cba4279bd4e7d63d7430921258a4b60e00df |
Hashes for pydantic_core-2.5.0-cp311-cp311-manylinux_2_24_ppc64le.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | b7e08e5ebfe69f9763a9a5d046f34304acad7859fe43741eff4e0a0211b68b7b |
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MD5 | 34591768d8584c1f08fc6d1aeee088a3 |
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BLAKE2b-256 | 7dd342c3162d6b0890694245a893f076eccc81ed011d50b1c0765e9c60be9552 |
Hashes for pydantic_core-2.5.0-cp311-cp311-manylinux_2_24_armv7l.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | d2067edc02c34554b63beb5523044f899ad19447ac2804909bdb691a50e8c0d6 |
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MD5 | 3218075c149a0ef82da0a26095535bc1 |
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BLAKE2b-256 | d8a53d780c8eac1b2ea62fe07c7f42d1327975139343c1016f050d823aab3593 |
Hashes for pydantic_core-2.5.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 943a4cc2fa14c46544b3ba80cb918434bf68fff65843e42deed75dc6b1e38fec |
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MD5 | 9877f95898d284b75b2f35982591c843 |
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BLAKE2b-256 | 55558e08b2811ddf90c9f98bd03b3353c9ad72b485c6f53a199168e1f56a2b20 |
Hashes for pydantic_core-2.5.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 67b169ddcb6e1b1bf3a05ff28c2cd734b1b201319d52b34a4bc91196d90d9a89 |
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MD5 | 5046161905f7bcb8732d73b8e027424a |
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BLAKE2b-256 | 3415970d6ea08f8957907689e4b847f5b2efc4d1680634c2f23ed4ad4fd5b061 |
Hashes for pydantic_core-2.5.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 50a62db6030faad97cde733518828279dd3f70df6e2e28b672105524bcdc9d5d |
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MD5 | 5581dc45893e6dbd55546ada38d88fcb |
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BLAKE2b-256 | 1e0ce854db9e5255f15737a7e0fa02212f42718a7a619ea3c9c5fd282a476bef |
Hashes for pydantic_core-2.5.0-cp311-cp311-macosx_11_0_arm64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 01b3c53ee1e5f2ab72cd23c8fbf803abeb322521822d722e0dbcb0717f17ee34 |
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MD5 | 83f92db324cbc9d00e82a2ed46bf511e |
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BLAKE2b-256 | 4dc58dce30e570682b5a08fb50ba01441ee656f10e7dbece1c7cc11d88615216 |
Hashes for pydantic_core-2.5.0-cp311-cp311-macosx_10_7_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4b38b49dac37f75b7ac07fe33f10b5cb78316fb8ceff0f2f122d7a60f4cdbee1 |
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MD5 | e4d7a49bb3799e0a2f6c202a891146bb |
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BLAKE2b-256 | a14f667bcab0f978ad152964683e23fc2d975bfd6f5a7e017041933c8c49f8fc |
Hashes for pydantic_core-2.5.0-cp310-none-win_amd64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 90cc76846975ef3910b7921c730a96a52e0fcbee0f6a1f1ab610b415ed731f88 |
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MD5 | 9a91abbbeae8e1ec971a10c1a79dea6c |
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BLAKE2b-256 | 96c548c4882d4b1b347a712a0e95e4df6723eee33385d99829eee5c5f6ccaccc |
Hashes for pydantic_core-2.5.0-cp310-none-win32.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4439cb8263ad9c80762018d516f0360ef751411a2787e77563232fd1bda08e82 |
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MD5 | c4bbb132e16862e2dc62dc65bd991862 |
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BLAKE2b-256 | dd76759e0489663f588d373617f955e95c6d9562ec01607e38501a09147bc6e0 |
Hashes for pydantic_core-2.5.0-cp310-cp310-musllinux_1_1_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7914963a6de4d42062b72ad829794870a78146363616b31ec92139d237add6b3 |
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MD5 | 66956603b89ddfb67a869d6283ab1211 |
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BLAKE2b-256 | 0db35d129150d8ab92de30af3c2e94d2bd419a625eedf49d103230d8d5802e31 |
Hashes for pydantic_core-2.5.0-cp310-cp310-musllinux_1_1_aarch64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6f628e15761e8826c07bd8b36c10b052d9cbf24214f805ffc6ee59617435c212 |
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MD5 | 5e567463ffe0a8334421afc8c876762f |
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BLAKE2b-256 | 488bf63a60b30cc18d327c23521084af5035a4f47d9b304516c14841acaa4ce9 |
Hashes for pydantic_core-2.5.0-cp310-cp310-manylinux_2_24_s390x.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | dde9cce9cabbc367449befc997e6c85ec067d4c7f594e03799128c2310e2b008 |
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MD5 | f85a696d21f69201c51f6fee8213e5e5 |
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BLAKE2b-256 | 8ae81ddaf6ac317ef82c18774077bc45d9a2c8d331495104f2f24669f13a3bdf |
Hashes for pydantic_core-2.5.0-cp310-cp310-manylinux_2_24_ppc64le.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 971b46b4c592d449d652e10ae25b7bfc93606998a2d1fe7e3079e13558d87560 |
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MD5 | e9fbfa50fabddec80b21773f17f41ecb |
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BLAKE2b-256 | 4b178ff871b8c71ebfc14cd10c0761e208b63f7ded3b2962bde849706f22826d |
Hashes for pydantic_core-2.5.0-cp310-cp310-manylinux_2_24_armv7l.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1112ace240bdf19b1ce633d1ef27687d81a45caf362c0faad48584f357a8e8d3 |
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MD5 | baf052e2caaa15a9e4a66e67049e19b9 |
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BLAKE2b-256 | 1aed178c902bb10d5425f63634536ab5001ee4120c1eb926ee89179084c737a1 |
Hashes for pydantic_core-2.5.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | aa0e9cdd1a02e3934db730a49434d7d3fa8474b409ab9cb420dd8bad40cb02d5 |
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MD5 | 82841c068eb558aed54219f135083f2f |
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BLAKE2b-256 | 8cda0da79735e17004097d3f744d603d29897eeb9ddf8af69644de10ba598633 |
Hashes for pydantic_core-2.5.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1bf31cb9563bc7958d8ce95d0dfc9c3540b730fbba2d0e07546f6ce7db845ca3 |
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MD5 | 4fa430e882043ae1a83f35befb229495 |
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BLAKE2b-256 | 2fc9c444b58e7ce0ba64df7639d94ff9f49e5f0c5ada9b07de7291a9fa0f99f8 |
Hashes for pydantic_core-2.5.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 38083af9002ff9fda8c9576c1e816095eb3838249607d30174e47a224d9b0a9d |
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MD5 | f8f6af512463c03104347e6888bca952 |
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BLAKE2b-256 | 358a4e9a62e558791e73daf5425a452ba60b40cf8f222ada6f3b9d4217af3233 |
Hashes for pydantic_core-2.5.0-cp310-cp310-macosx_11_0_arm64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 3df387f7bdc186e99816d8c5b128548f4f2f8b08f3e20d813d17f649954f643e |
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MD5 | eba45774542f7733b8a62b4eaa33c737 |
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BLAKE2b-256 | 01e2a5204fb26cd3a03698ab94eea635e23121fbbf051c849444e9457cbabd74 |
Hashes for pydantic_core-2.5.0-cp310-cp310-macosx_10_7_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 8e9a5816dd0608454fbf55e67494c7c9418e110f55c4f31c111550dba435cb42 |
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MD5 | d8f40de6509bad3e55bfa52ffcd0e2b0 |
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BLAKE2b-256 | af32ea89ed4be7fff4e19c3238a73f8ff6859b11413c0c4f595ee7f15ff9e267 |
Hashes for pydantic_core-2.5.0-cp39-none-win_amd64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 872815f3d574cca652c3b4bceebc979e4d64e023f91e4d5610e13de91c6aa640 |
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MD5 | cc501d81b58bfe0d176edf2b6472ca51 |
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BLAKE2b-256 | ce9287ce012eb16f3ba2467f71df2403090579e978c25efa23804cbd27c194cd |
Hashes for pydantic_core-2.5.0-cp39-none-win32.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1680509a8d9e01312ae108cf653746b491e3a97bd52afab1eb5e48e8b4fc89cf |
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MD5 | 473ab14efa5b642169dd8ee7b484776c |
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BLAKE2b-256 | 2998021196af926c826187f16ae8c3a022f59e801bda56e0d8b8c5933e22a0a3 |
Hashes for pydantic_core-2.5.0-cp39-cp39-musllinux_1_1_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | f275d05229ec580cea7aff556036a2f3ad8df31f8d7a0a431cad579f0c7313c1 |
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MD5 | 80b07aaad2ff0b5f90b85cb0e2bc5250 |
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BLAKE2b-256 | ad66d1bd88108ec129af9d29e8d517f3000d66cfb18bada2b6831e53bb48d364 |
Hashes for pydantic_core-2.5.0-cp39-cp39-musllinux_1_1_aarch64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | d93fc619b2886098ed3d1732434b680d4137305f14b47476c0ba7f9a31c21889 |
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MD5 | 9a62da56a49245590169953ec6ef0b72 |
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BLAKE2b-256 | d9dddfeffa32c5b3f0ffc79933973262f79747e2ebf7803e57acacabc7992fd9 |
Hashes for pydantic_core-2.5.0-cp39-cp39-manylinux_2_24_s390x.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 56ea72c1c4d496fd37a454b6733006609736fbf075e5a99962d73527e044a69f |
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MD5 | dc616ea0c5913353f3ef33c07f42fbc1 |
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BLAKE2b-256 | 41cb0cb926c4a8e06141ac79163c38c373899fd86ccd6177bcdbf7417f5e68da |
Hashes for pydantic_core-2.5.0-cp39-cp39-manylinux_2_24_ppc64le.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 900309272068ed8733f70373308b18146982ba1db2ef2b591674364d5eb7b723 |
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MD5 | 5bed09d761b2b4caa3194c4c6f4f4926 |
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BLAKE2b-256 | 86ed71850d467eb334cdf20d1ef753b8e76adaee918c970df77914b15c5d75b9 |
Hashes for pydantic_core-2.5.0-cp39-cp39-manylinux_2_24_armv7l.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 69ff9699033da77aae17a9ee13c604d8591227a16902a954ed9799604f7e9496 |
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MD5 | cc359aa8ef24beba20b0ce44a3af0a3c |
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BLAKE2b-256 | e465cbe15e21c9571d6b822b1304c3ca6c52edfa00e2c0e71a103acb5d5c42d2 |
Hashes for pydantic_core-2.5.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 68ab5a4e714930b08517c28ec31760b70e6b2362e78459de4b99c932b71f2038 |
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MD5 | dcb2a4f2f50d43b547751e5fd1746044 |
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BLAKE2b-256 | bfbc10def428fbf42e143dad5d10b1627073082efe01921422cf3eb6e13447a0 |
Hashes for pydantic_core-2.5.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 020a2f19a9b9354e9a5e482dd471e835a2389dbf604dae7725cc0eb551906286 |
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MD5 | 30c9eea669fc687d0faa8f489032a141 |
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BLAKE2b-256 | 2d3ec75b4258a8e3105c0eb65cdd5312b3fc107064aaeefc9c4980915162fe3c |
Hashes for pydantic_core-2.5.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7038b427994fe2fa2ed5d70f8c3fd14ead630e7d6f0a808c6ba3a2cb310fe661 |
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MD5 | eda48c6d3be79f8dfd7623ff14c56746 |
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BLAKE2b-256 | 2865cd6be831b1f6dd77c67b80b827ce5b4737176a35dcc3e9b7c0ef60a7e42b |
Hashes for pydantic_core-2.5.0-cp39-cp39-macosx_11_0_arm64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 08bcc84daa4eab2b3014145bced7137335ada522d00417a6ce3d991733dbdf5e |
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MD5 | d498013dcf1b009287221b6dd89378ce |
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BLAKE2b-256 | f2f871c3a9a3c301b60e18c90970ba63ebe0a287c6058ec762d9d9fffee0f97b |
Hashes for pydantic_core-2.5.0-cp39-cp39-macosx_10_7_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | d5a8520eb7bc4431b086407ed9f4fbefc91f00704d7923fff3247906b65eb12a |
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MD5 | ac59e74a9e647ee92db93246cb962588 |
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BLAKE2b-256 | 325b7bf678db8d7fba9385953175b888e5b23eb03de569a3b1a7eddbcc49105d |
Hashes for pydantic_core-2.5.0-cp38-none-win_amd64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 8f4a987849e608114444b0de5facf37cfcaf98fdfe90ac84793043d16580a500 |
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MD5 | 44abe8a94b43bf2aede1cfce89aa14b7 |
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BLAKE2b-256 | df104f19a1cc14f999c430d8d7c1575b4d6a9877417dc858c48cdd92c0d0501a |
Hashes for pydantic_core-2.5.0-cp38-none-win32.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 30218817661d815a5062c640074ae6329c51ee53c2796cce4be78bc1b0a40a15 |
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MD5 | cd3eeddad9065afc24660cd28280d65d |
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BLAKE2b-256 | 7eaa11774b8e1da345940d243db44a09cf83c6d25a4e1486f948b53e0d5f8d76 |
Hashes for pydantic_core-2.5.0-cp38-cp38-musllinux_1_1_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 002125901a4c735d06f4d5209ba6d7c355b88b49f8dfdda49ad14bd83898dd06 |
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MD5 | f9d58e679cac7a82e7e504ed47e209a6 |
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BLAKE2b-256 | bbd954012fef3262ff14e9e6cd1a06b065708cd43da86ded1869b618ed0a59f0 |
Hashes for pydantic_core-2.5.0-cp38-cp38-musllinux_1_1_aarch64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | e58d45cd248ba28f93c490c3054b2978b8f0a841639399653976211bef65ad08 |
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MD5 | e061b619ffbac8d89c9942a571350691 |
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BLAKE2b-256 | 50c92b6f780441e5a2031d1181089dfac290c985fd79803ad5d2d40e8c6f57f5 |
Hashes for pydantic_core-2.5.0-cp38-cp38-manylinux_2_24_s390x.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | f0506b3aca0a4575fbab8602d5223337b4a048c7f0babd5e7adbf4f9e9bd3737 |
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MD5 | 9edda7ed967dbc19c3219e9af0e2e120 |
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BLAKE2b-256 | 1f4b6552de2989083c6d8849ac739928f902279543fc7f1e5ea27efd9534d58c |
Hashes for pydantic_core-2.5.0-cp38-cp38-manylinux_2_24_ppc64le.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 8ecb4e591fdf374cd3234660132d2a540f45ddfa946998bc8f1552d7cac9a1af |
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MD5 | be6bb2d28acf3da3e9bf8aa3a8d06cbb |
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BLAKE2b-256 | 30089547fca059c0cc4f4cf6c9d5a879d0d534da3dd43163488bfd3bbc7c13d5 |
Hashes for pydantic_core-2.5.0-cp38-cp38-manylinux_2_24_armv7l.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 224a102c694003aa510ab1b922ae311999f2cffbb5be6968ba6fa549817ba702 |
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MD5 | 5d5572bccdfe18423a6a7c28a45ef876 |
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BLAKE2b-256 | f6947bfc012463fda6cb0be364246f1bb079d0c999aa2c46cc6c7b6309c9f271 |
Hashes for pydantic_core-2.5.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
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Hashes for pydantic_core-2.5.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
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MD5 | 2a87cd8a628f2ba3ff8792c060d6da07 |
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MD5 | 47eba4658f6f3f29fc306eba6b77f571 |
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Hashes for pydantic_core-2.5.0-cp38-cp38-macosx_11_0_arm64.whl
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MD5 | de4d1b7838b9677787a492a99f3d0975 |
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Hashes for pydantic_core-2.5.0-cp38-cp38-macosx_10_7_x86_64.whl
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Hashes for pydantic_core-2.5.0-cp37-none-win_amd64.whl
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MD5 | 3ab490843e47240cfefe68decc825af2 |
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MD5 | 33908e7233b65cba631aa1891a71cfba |
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Hashes for pydantic_core-2.5.0-cp37-cp37m-musllinux_1_1_x86_64.whl
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MD5 | 085751a48f8ca94e068f89b677dd9d42 |
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Hashes for pydantic_core-2.5.0-cp37-cp37m-musllinux_1_1_aarch64.whl
Algorithm | Hash digest | |
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MD5 | a5278d771d809020e1fb111aa23dfbe0 |
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MD5 | 99878b3f494c8e8a0b0aec4fa7d8a4bc |
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Hashes for pydantic_core-2.5.0-cp37-cp37m-manylinux_2_24_ppc64le.whl
Algorithm | Hash digest | |
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Hashes for pydantic_core-2.5.0-cp37-cp37m-manylinux_2_24_armv7l.whl
Algorithm | Hash digest | |
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MD5 | 07a09ee3362a4286e23e323f94ebc86b |
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Hashes for pydantic_core-2.5.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm | Hash digest | |
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MD5 | b013b88914f7be98d364577a748aa5f0 |
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BLAKE2b-256 | 326b556ea52c0b9e5d9468b3d0575a32054c859f01b371114b3fbb4e97b2c84e |
Hashes for pydantic_core-2.5.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm | Hash digest | |
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MD5 | 851a967a9cd33e505a0e021ad86a39f1 |
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Hashes for pydantic_core-2.5.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl
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Hashes for pydantic_core-2.5.0-cp37-cp37m-macosx_11_0_arm64.whl
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MD5 | 1c8fd2f5f486309d123fce313dd84645 |
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Hashes for pydantic_core-2.5.0-cp37-cp37m-macosx_10_7_x86_64.whl
Algorithm | Hash digest | |
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MD5 | 93f48b2939aae4866382b9276e2fb3eb |
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