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python3-atlasclient-1.0.0-1.lbn36.noarch
Apache Atlas Client in Python :target:
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python3-cgroupspy-0.2.2-1.lbn36.noarch
[
Out[1]: ['1.json', '2.json']In [2]: CLIENT.status('models/2.json') Out[2]: {
'accessTime': 1439743128690, 'blockSize': 134217728,
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python3-hdfs+avro-2.7.3-1.lbn36.noarch
This is a metapackage bringing in avro extras requires for python3-hdfs.
It makes sure the dependencies are installed.
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python3-hdfs+dataframe-2.7.3-1.lbn36.noarch
This is a metapackage bringing in dataframe extras requires for python3-hdfs.
It makes sure the dependencies are installed.
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python3-plyvel-1.5.1-1.lbn36.x86_64
Plyvel is a fast and feature-rich Python interface to the LevelDB embedded
database library. It has a rich feature set, high performance, and a friendly
Pythonic API.
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python3-pydantic-2.0.2-1.lbn36.noarch
Data validation and settings management using python type hinting.
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python3-pydantic-core-2.1.2-1.lbn36.x86_64
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',
'sc
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python3-pydantic-extra-types-2.4.1-1.lbn36.noarch
Pydantic Extra Types
A place for pydantic types that probably shouldn't exist in the main pydantic lib.
See pydantic/pydantic#5012 for more info.
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