https://bugzilla.redhat.com/show_bug.cgi?id=2282778
Bug ID: 2282778
Summary: Review Request: python-pybbi - Python bindings to the
UCSC source for Big Binary Indexed (bigWig/bigBed)
files
Product: Fedora
Version: rawhide
Hardware: All
OS: Linux
Status: NEW
Component: Package Review
Severity: medium
Priority: medium
Assignee: nobody(a)fedoraproject.org
Reporter: gui1ty(a)penguinpee.nl
QA Contact: extras-qa(a)fedoraproject.org
CC: package-review(a)lists.fedoraproject.org
Target Milestone: ---
Classification: Fedora
Spec URL: https://gui1ty.fedorapeople.org/review/python-pybbi.spec
SRPM URL:
https://gui1ty.fedorapeople.org/review/python-pybbi-0.4.0-1.fc41.src.rpm
Description:
Python interface to Jim Kent's Big Binary Indexed file (BBI) library
from the UCSC Genome Browser source tree using Cython.
This provides read-level access to local and remote bigWig and bigBed
files but no write capabilitites. The main feature is fast retrieval of
range queries into numpy arrays.
Fedora Account System Username: gui1ty
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https://bugzilla.redhat.com/show_bug.cgi?id=2292665
Bug ID: 2292665
Summary: Review Request: python-huggingface-hub - Client
library to handle repos on the huggingface.co hub
Product: Fedora
Version: rawhide
Hardware: All
OS: Linux
Status: NEW
Component: Package Review
Severity: medium
Priority: medium
Assignee: nobody(a)fedoraproject.org
Reporter: msuchy(a)redhat.com
QA Contact: extras-qa(a)fedoraproject.org
CC: package-review(a)lists.fedoraproject.org
Target Milestone: ---
Classification: Fedora
Spec URL:
https://download.copr.fedorainfracloud.org/results/msuchy/package-review/fe…
SRPM URL:
https://download.copr.fedorainfracloud.org/results/msuchy/package-review/fe…
Description:
The huggingface_hub library allows you to interact with the Hugging Face Hub, a
machine learning platform for creators and collaborators. Discover pre-trained
models and datasets for your projects or play with the hundreds of machine
learning apps hosted on the Hub. You can also create and share your own models
and datasets with the community. The huggingface_hub library provides a simple
way to do all these things with Python.
Fedora Account System Username: msuchy
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https://bugzilla.redhat.com/show_bug.cgi?id=1020292
LinkAiris <ficoke1170(a)fresec.com> changed:
What |Removed |Added
----------------------------------------------------------------------------
CC| |ficoke1170(a)fresec.com
--- Comment #63 from LinkAiris <ficoke1170(a)fresec.com> ---
Digital world of bitcoin is really bad. I really hate how it turned out due to
a lot of problems that connected with them, I hate that you can’t track it and
you can’t have it in physical shape. I tried a lot of time using them but I
stopped and now I have a credit card. So I started getting money from banks or
from different services that I get from reviews here
https://www.linkedin.com/pulse/get-2000-fast-when-youre-pinch-best-10-creat…
. Bitcoin will fall after a few years of greatness because you never know when
one person like Elon Musk will say something wrong about it. It is really scary
for me.
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https://bugzilla.redhat.com/show_bug.cgi?id=2214280
Bug ID: 2214280
Summary: Review Request: intel-qpl - Intel Query Processing
Library
Product: Fedora
Version: rawhide
OS: Linux
Status: NEW
Component: Package Review
Severity: medium
Assignee: nobody(a)fedoraproject.org
Reporter: aekoroglu(a)linux.intel.com
QA Contact: extras-qa(a)fedoraproject.org
CC: package-review(a)lists.fedoraproject.org
Target Milestone: ---
Classification: Fedora
SPEC Url:
https://download.copr.fedorainfracloud.org/results/aekoroglu/fedora/fedora-…
SRPM Url:
https://download.copr.fedorainfracloud.org/results/aekoroglu/fedora/fedora-…
Description:
The Intel Query Processing Library (Intel QPL) is an open-source library to
provide high-performance query processing operations on Intel CPUs. Intel QPL
is aimed to support capabilities of the new Intel In-Memory Analytics
Accelerator (Intel IAA) available on Next Generation Intel Xeon Scalable
processors, codenamed Sapphire Rapids processor, such as very high throughput
compression and decompression combined with primitive analytic functions, as
well as to provide highly-optimized SW fallback on other Intel CPUs. Intel QPL
primarily targets applications such as big-data and in-memory analytic
databases.
Reproducible: Always
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