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mlrun-pipelines-kfp-v2

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0.2.1

mlrun_pipelines_kfp_v2-0.2.1-py3-none-any.whl

Wheel Details

Project:	mlrun-pipelines-kfp-v2
Version:	0.2.1
Filename:	mlrun_pipelines_kfp_v2-0.2.1-py3-none-any.whl
Download:	[link]
Size:	14035
MD5:	`588ad5bbdfe2b8d313481cc98bf162e7`
SHA256:	`0bdb6bb8150b676062ed62e30f401ae2ce7ea88cfa72b1b7267eda084e27fec8`
Uploaded:	2024-11-20 13:58:43 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version:	2.1
Name:	mlrun-pipelines-kfp-v2
Version:	0.2.1
Summary:	MLRun Pipelines package for providing KFP 2.* compatibility
Author:	Yaron Haviv
Author-Email:	yaronh[at]iguazio.com
Home-Page:	https://github.com/mlrun/mlrun
License:	Apache License 2.0
Keywords:	mlrun,kfp
Requires-Python:	>=3.9, <3.12
Requires-Dist:	kfp-server-api (~=2.0.0)
Requires-Dist:	kfp[kubernetes] (~=2.5.0)
Description-Content-Type:	text/markdown

[Description omitted; length: 60 characters]

WHEEL

Wheel-Version:	1.0
Generator:	setuptools (75.5.0)
Root-Is-Purelib:	true
Tag:	py3-none-any

RECORD

Path	Digest	Size
mlrun_pipelines/helpers.py	sha256=eOvkZts-QVbbNfpx8NfMC5jB_1DDnPv18ku_eQF9dMo	923
mlrun_pipelines/imports.py	sha256=RlrS8GAwpBq6ZjQkADC-FEF4tkPgvhy1wQNYomvp1T0	2520
mlrun_pipelines/mixins.py	sha256=JWVnKY5eIKphvmFZ5sQTTqbBZNeFAIZhFgHxoIfVhB0	3890
mlrun_pipelines/models.py	sha256=C5MxHE7th27JnCNiibki5MY4VO16iSUmWJxUfnfrX6c	3891
mlrun_pipelines/mounts.py	sha256=g7vonX3QwL6ozWspgg5-ryDjTaH_kjAAiKNlKIkhHZA	10700
mlrun_pipelines/ops.py	sha256=rd3a_HYGRmfoDLiSLiY7vsgHmQUevIDkX6XoQNNmzWk	13047
mlrun_pipelines/patcher.py	sha256=sOBwPJ0KuM6LMolYEwR4tPiJhlgFsla5_0gIdyxONlw	571
mlrun_pipelines/utils.py	sha256=2xPU8VXC9Z2V_TICu_apjD3dUpWbWGYCBaTcFKm842w	1180
mlrun_pipelines_kfp_v2-0.2.1.dist-info/METADATA	sha256=oGELWysxOwGrs9UQMbEQOLy8jwDAhIdJ5GcqWTxHyq4	486
mlrun_pipelines_kfp_v2-0.2.1.dist-info/WHEEL	sha256=R06PA3UVYHThwHvxuRWMqaGcr-PuniXahwjmQRFMEkY	91
mlrun_pipelines_kfp_v2-0.2.1.dist-info/top_level.txt	sha256=nLog7d6Z7sH90lLPiJHgM1Q2hqwiKlkc8MtKtltFJvE	16
mlrun_pipelines_kfp_v2-0.2.1.dist-info/RECORD	—	—

top_level.txt

mlrun_pipelines