Modified items

All recently modified items, latest first.

groonga-plugin-tokenizer-h3-14.0.7-3.lbn36.x86_64: This package contains h3 tokenizer for Groonga.

groonga-plugin-token-filters-14.0.7-3.lbn36.x86_64: Token filters plugins for Groonga, which provides stop word and stemming features.

groonga-plugin-suggest-14.0.7-3.lbn36.x86_64: This package contains suggest plugin for Groonga.

groonga-libs-14.0.7-3.lbn36.x86_64: This package contains the libraries for Groonga.

groonga-14.0.7-3.lbn36.x86_64: Groonga is an embeddable full-text search engine library. It can integrate with DBMS and scripting languages to enhance their search functionality. It also provides a standalone data store server based on relational data model.

firebird-utils-4.0.0.2496-6.fc36.x86_64: Firebird SQL user utilities. Firebird is a relational database offering many ANSI SQL standard features that runs on Linux, Windows, and a variety of Unix platforms. Firebird offers excellent concurrency, high performance, and powerful language support for stored procedures and triggers. It has been used in production systems, under a variety of names, since 1981.

firebird-4.0.0.2496-6.fc36.x86_64: Firebird is a relational database offering many ANSI SQL standard features that runs on Linux, Windows, and a variety of Unix platforms. Firebird offers excellent concurrency, high performance, and powerful language support for stored procedures and triggers. It has been used in production systems, under a variety of names, since 1981.

cockroachdb-25.2.0-0.1.lbn36.x86_64: CockroachDB is a distributed SQL database built on a transactional and strongly-consistent key-value store. It scales horizontally; survives disk, machine, rack, and even datacenter failures with minimal latency disruption and no manual intervention; supports strongly-consistent ACID transactions; and provides a familiar SQL API for structuring, manipulating, and querying data.

clucene-core-2.3.3.4-42.20130812.e8e3d20git.fc36.x86_64: CLucene is a C++ port of the popular Apache Lucene search engine (http://lucene.apache.org/java). CLucene aims to be a high-speed alternative to Java Lucene, its API is very similar to that of the Java version. CLucene has recently been brought up to date with Lucene 2.3.2. It contains most of the same functionality as the Java version.

clucene-contribs-lib-2.3.3.4-42.20130812.e8e3d20git.fc36.x86_64: Language specific text analyzers for clucene.

alembic-libs-1.8.5-2.lbn36.x86_64: Alembic is an open computer graphics interchange framework. Alembic distills complex, animated scenes into a non-procedural, application-independent set of baked geometric results. This 'distillation' of scenes into baked geometry is exactly analogous to the distillation of lighting and rendering scenes into rendered image data.

alembic-1.8.5-2.lbn36.x86_64: Alembic is an open computer graphics interchange framework. Alembic distills complex, animated scenes into a non-procedural, application-independent set of baked geometric results. This 'distillation' of scenes into baked geometry is exactly analogous to the distillation of lighting and rendering scenes into rendered image data.

python3-apache-airflow+ydb-2.10.5-1.lbn36.noarch: This is a metapackage bringing in ydb extras requires for python3-apache-airflow. It makes sure the dependencies are installed.

python3-apache-airflow+common-compat-2.10.5-1.lbn36.noarch: This is a metapackage bringing in common-compat extras requires for python3-apache-airflow. It makes sure the dependencies are installed.

python3-apache-airflow+cloudpickle-2.10.5-1.lbn36.noarch: This is a metapackage bringing in cloudpickle extras requires for python3-apache-airflow. It makes sure the dependencies are installed.

python3-apache-airflow+apache-iceberg-2.10.5-1.lbn36.noarch: This is a metapackage bringing in apache-iceberg extras requires for python3-apache-airflow. It makes sure the dependencies are installed.

python3-best-ec2-1.1.4-1.lbn36.noarch: Best EC2 Best EC2, the smart solution designed to optimize your Amazon EC2 instance type selection process. The app simplifies the challenge of choosing the optimal EC2 instance type that matches your specific requirements, balancing performance, cost, and computing needs. Prerequisites python >=3.8.0 AWS Credentials Install pip install best-ec2 The IAM policy grants minimal permissions necessary for the application { "Version": "2012-10-17", "Statement": [ { "Sid": "General", "Effect": "Allow", "Action": [ "ec2:DescribeInstanceTypes" ], "Resource": "*" }, { "Sid": "OnDemand", "Effect": "Allow", "Action": [ "pricing:GetProducts" ], "Resource": "*" }, { "Sid": "Spot", "Effect": "Allow", "Action": [ "ec2:DescribeAvailabilityZones",

python3-flower-1.2.0-1.lbn36.noarch: Flower is a web based tool for monitoring and administrating Celery clusters Features Real-time monitoring using Celery Events Task progress and history Ability to show task details (arguments, start time, runtime, and more) Graphs and statistics Remote Control View worker status and statistics Shutdown and restart worker instances Control worker pool size and autoscale settings View and modify the queues a worker instance consumes from View currently running tasks View scheduled tasks (ETA/countdown) View reserved and revoked tasks Apply time and rate limits Configuration viewer Revoke or terminate tasks Broker monitoring View statistics for all Celery queues Queue length graphs HTTP API Basic Auth, GitHub OAuth2 and Google OpenID authentication

python3-flask-xml-rpc-0.1.2-25.fc36.noarch: Flask-XML-RPC adds XML-RPC support to Flask. This way, you can provide simple APIs easily accessible from almost any programming language. documentation: http://packages.python.org/Flask-XML-RPC development version: http://bitbucket.org/leafstorm/flask-xml-rpc/get/tip.gz#egg=Flask-XML-RPC-dev

python3-flask-wtf-decorators-0.1.2-0.7.20200715.7fa5a26.fc36.noarch: Flask-WTF-Decorators is easy to use. You can define a view that requires validation. from flask-wtf-decorators import FormValidator form_validator = FormValidator() @form_validator.validate_form(TestForm) @app.route('/', methods=['GET', 'POST']) def index(form): pass You can tell Flask-WTF-Decorators what to do when a form is illegal. To do this you should provide a callback for error_handler. @form_validator.error_handler def error_handler(errors): return jsonify({'errors': errors}), 400


	Copyright © 2000-2025 Corporation of Balclutha Inc. All rights reserved.