semvec/pypi-packages huggingface dataset:
hikaru-model-27 1.1.1
Hikaru allows you to smoothly move between Kubernetes YAML, Python objects, and Python source, in any direction
License: MIT
Keywords: Kubernetes,modelling,YAML,JSON,modeling,translate,translator,reformatter,transform


.. |travis| image:: https://travis-ci.com/haxsaw/hikaru.svg?branch=dev
    :target: https://app.travis-ci.com/github/haxsaw/hikaru

.. |license| image:: https://img.shields.io/github/license/haxsaw/hikaru
   :alt: GitHub license   :target: https://github.com/haxsaw/hikaru/blob/main/LICENSE

.. |versions| image:: https://img.shields.io/pypi/pyversions/hikaru
   :alt: PyPI - Python Version

.. |coverage| image:: https://codecov.io/gh/haxsaw/hikaru/branch/dev/graph/badge.svg?token=QOFGNVHGNP
   :target: https://codecov.io/gh/haxsaw/hikaru
   
.. |logo| image:: hikaru-model-27-logo.png
   :alt: Hikaru

|logo|


Version 1.1.1

|travis|   |license|   |versions|   |coverage|

`Try it: see Hikaru convert your K8s YAML <http://www.incisivetech.co.uk/try-hikaru.html>`_

`Release notes <https://github.com/haxsaw/hikaru/blob/main/release_notes.rst>`_

`Full documentation at Read the Docs <https://hikaru.readthedocs.io/en/latest/index.html>`_

Hikaru is a collection of tools that allow you to work with Kubernetes resources from within Python in
a variety of ways:

- Hikaru provides type-annotated classes that model all of the Kubernetes resources in Python
  and supports CRUD operations on those classes to manage their lifecycle in your Kubernetes cluster.
- Hikaru also provides tooling to shift formats for these objects, allowing you to turn K8s YAML
  into Python objects, JSON, or Python dicts, and vice-versa. It can also generate Python source code for K8s
  objects loaded from non-Python sources.
- Hikaru also supports a number of features that aid in the management of
  your objects such as searching for specific fields or diffing two instances of a K8s resource.
- Hikaru includes support for creating 'watches' on your objects, providing a means to monitor events
  on your provisioned K8s resources.
- Hikaru provides support for creation of CRDs which support all the above features such as CRUD operations
  and watches.
- Finally, Hikaru includes a facility to specify a collection of
  resources as an 'application', similar in spirit to a Helm chart, and provides the same CRUD,
  watch, and management capabilities on the entire application as it does on single resource objects
  (full format shifting support to come).

**This package provides model classes to create resources through the Kubernetes Python client version 27.x**.
It depends on the
``hikaru-core`` package which will be installed automatically when this packages is installed. This package
will work with any version of the Kubernetes Python client >= 27.x; if you need to constrain which release
is installed then you should establish your own requirement limts on the Kubernetes Python client package.

About
~~~~~

Hikaru is Mr. Sulu’s first name, a famed fictional helmsman.
hikaru-model-26 1.1.1
Hikaru allows you to smoothly move between Kubernetes YAML, Python objects, and Python source, in any direction
License: MIT
Keywords: Kubernetes,modelling,YAML,JSON,modeling,translate,translator,reformatter,transform


.. |travis| image:: https://travis-ci.com/haxsaw/hikaru.svg?branch=dev
    :target: https://app.travis-ci.com/github/haxsaw/hikaru

.. |license| image:: https://img.shields.io/github/license/haxsaw/hikaru
   :alt: GitHub license   :target: https://github.com/haxsaw/hikaru/blob/main/LICENSE

.. |versions| image:: https://img.shields.io/pypi/pyversions/hikaru
   :alt: PyPI - Python Version

.. |coverage| image:: https://codecov.io/gh/haxsaw/hikaru/branch/dev/graph/badge.svg?token=QOFGNVHGNP
   :target: https://codecov.io/gh/haxsaw/hikaru
   
.. |logo| image:: hikaru-model-26-logo.png
   :alt: Hikaru

|logo|


Version 1.1.1

|travis|   |license|   |versions|   |coverage|

`Try it: see Hikaru convert your K8s YAML <http://www.incisivetech.co.uk/try-hikaru.html>`_

`Release notes <https://github.com/haxsaw/hikaru/blob/main/release_notes.rst>`_

`Full documentation at Read the Docs <https://hikaru.readthedocs.io/en/latest/index.html>`_

Hikaru is a collection of tools that allow you to work with Kubernetes resources from within Python in
a variety of ways:

- Hikaru provides type-annotated classes that model all of the Kubernetes resources in Python
  and supports CRUD operations on those classes to manage their lifecycle in your Kubernetes cluster.
- Hikaru also provides tooling to shift formats for these objects, allowing you to turn K8s YAML
  into Python objects, JSON, or Python dicts, and vice-versa. It can also generate Python source code for K8s
  objects loaded from non-Python sources.
- Hikaru also supports a number of features that aid in the management of
  your objects such as searching for specific fields or diffing two instances of a K8s resource.
- Hikaru includes support for creating 'watches' on your objects, providing a means to monitor events
  on your provisioned K8s resources.
- Hikaru provides support for creation of CRDs which support all the above features such as CRUD operations
  and watches.
- Finally, Hikaru includes a facility to specify a collection of
  resources as an 'application', similar in spirit to a Helm chart, and provides the same CRUD,
  watch, and management capabilities on the entire application as it does on single resource objects
  (full format shifting support to come).

**This package supports resources from the Kubernetes Python client version 26.x**. It depends on the
``hikaru-core`` package which will be installed automatically when this packages is installed. This package
will work with any version of the Kubernetes Python client >= 26.x; if you need to constrain which release
is installed then you should establish your own requirement limts on the Kubernetes Python client package.

See README-core.rst for the main README and links to overall documentation.

About
~~~~~

Hikaru is Mr. Sulu’s first name, a famed fictional helmsman.
hikaru-model-24 1.1.1
Hikaru allows you to smoothly move between Kubernetes YAML, Python objects, and Python source, in any direction. This package provides support for the objects and operations in Kubernetes 24.x.
License: MIT
Keywords: Kubernetes,modelling,YAML,JSON,modeling,translate,translator,reformatter,transform


.. |travis| image:: https://travis-ci.com/haxsaw/hikaru.svg?branch=dev
    :target: https://app.travis-ci.com/github/haxsaw/hikaru

.. |license| image:: https://img.shields.io/github/license/haxsaw/hikaru
   :alt: GitHub license   :target: https://github.com/haxsaw/hikaru/blob/main/LICENSE

.. |versions| image:: https://img.shields.io/pypi/pyversions/hikaru
   :alt: PyPI - Python Version

.. |coverage| image:: https://codecov.io/gh/haxsaw/hikaru/branch/dev/graph/badge.svg?token=QOFGNVHGNP
   :target: https://codecov.io/gh/haxsaw/hikaru
   
.. |logo| image:: hikaru-model-24-logo.png
   :alt: Hikaru

|logo|


Version 1.1.1

|travis|   |license|   |versions|   |coverage|

`Try it: see Hikaru convert your K8s YAML <http://www.incisivetech.co.uk/try-hikaru.html>`_

`Release notes <https://github.com/haxsaw/hikaru/blob/main/release_notes.rst>`_

`Full documentation at Read the Docs <https://hikaru.readthedocs.io/en/latest/index.html>`_

Hikaru is a collection of tools that allow you to work with Kubernetes resources from within Python in
a variety of ways:

- Hikaru provides type-annotated classes that model all of the Kubernetes resources in Python
  and supports CRUD operations on those classes to manage their lifecycle in your Kubernetes cluster.
- Hikaru also provides tooling to shift formats for these objects, allowing you to turn K8s YAML
  into Python objects, JSON, or Python dicts, and vice-versa. It can also generate Python source code for K8s
  objects loaded from non-Python sources.
- Hikaru also supports a number of features that aid in the management of
  your objects such as searching for specific fields or diffing two instances of a K8s resource.
- Hikaru includes support for creating 'watches' on your objects, providing a means to monitor events
  on your provisioned K8s resources.
- Hikaru provides support for creation of CRDs which support all the above features such as CRUD operations
  and watches.
- Finally, Hikaru includes a facility to specify a collection of
  resources as an 'application', similar in spirit to a Helm chart, and provides the same CRUD,
  watch, and management capabilities on the entire application as it does on single resource objects
  (full format shifting support to come).

**This package provides model classes to create resources through the Kubernetes Python client version 24.x**.
It depends on the
``hikaru-core`` package which will be installed automatically when this packages is installed. This package
will work with any version of the Kubernetes Python client >= 24.x; if you need to constrain which release
is installed then you should establish your own requirement limts on the Kubernetes Python client package.

See README-core.rst for the main README and links to overall documentation.

About
~~~~~

Hikaru is Mr. Sulu’s first name, a famed fictional helmsman.
hikaru-model-23 1.1.1
Hikaru allows you to smoothly move between Kubernetes YAML, Python objects, and Python source, in any direction. This package provides support for the objects and operations in Kubernetes 23.x.
License: MIT
Keywords: Kubernetes,modelling,YAML,JSON,modeling,translate,translator,reformatter,transform


.. |travis| image:: https://travis-ci.com/haxsaw/hikaru.svg?branch=dev
    :target: https://app.travis-ci.com/github/haxsaw/hikaru

.. |license| image:: https://img.shields.io/github/license/haxsaw/hikaru
   :alt: GitHub license   :target: https://github.com/haxsaw/hikaru/blob/main/LICENSE

.. |versions| image:: https://img.shields.io/pypi/pyversions/hikaru
   :alt: PyPI - Python Version

.. |coverage| image:: https://codecov.io/gh/haxsaw/hikaru/branch/dev/graph/badge.svg?token=QOFGNVHGNP
   :target: https://codecov.io/gh/haxsaw/hikaru
   
.. |logo| image:: hikaru-model-23-logo.png
   :alt: Hikaru

|logo|


Version 1.1.1

|travis|   |license|   |versions|   |coverage|

`Try it: see Hikaru convert your K8s YAML <http://www.incisivetech.co.uk/try-hikaru.html>`_

`Release notes <https://github.com/haxsaw/hikaru/blob/main/release_notes.rst>`_

`Full documentation at Read the Docs <https://hikaru.readthedocs.io/en/latest/index.html>`_

Hikaru is a collection of tools that allow you to work with Kubernetes resources from within Python in
a variety of ways:

- Hikaru provides type-annotated classes that model all of the Kubernetes resources in Python
  and supports CRUD operations on those classes to manage their lifecycle in your Kubernetes cluster.
- Hikaru also provides tooling to shift formats for these objects, allowing you to turn K8s YAML
  into Python objects, JSON, or Python dicts, and vice-versa. It can also generate Python source code for K8s
  objects loaded from non-Python sources.
- Hikaru also supports a number of features that aid in the management of
  your objects such as searching for specific fields or diffing two instances of a K8s resource.
- Hikaru includes support for creating 'watches' on your objects, providing a means to monitor events
  on your provisioned K8s resources.
- Hikaru provides support for creation of CRDs which support all the above features such as CRUD operations
  and watches.
- Finally, Hikaru includes a facility to specify a collection of
  resources as an 'application', similar in spirit to a Helm chart, and provides the same CRUD,
  watch, and management capabilities on the entire application as it does on single resource objects
  (full format shifting support to come).

**This package provides model classes to create resources through the Kubernetes Python client version 23.x**.
It depends on the
``hikaru-core`` package which will be installed automatically when this packages is installed. This package
will work with any version of the Kubernetes Python client >= 23.x; if you need to constrain which release
is installed then you should establish your own requirement limits on the Kubernetes Python client package.

See README-core.rst for the main README and links to overall documentation.

About
~~~~~

Hikaru is Mr. Sulu’s first name, a famed fictional helmsman.
pretty-confusion-matrix-for-kaggle 1.0.0
Este pacote é um clone praticamente idêntico da biblioteca pretty-confusion-matrix
License: MIT
Keywords: confusion matrix,confusion matrix matlab

Ao tentar instalar a lib pretty-confusion-matrix no kaggle, foi gerado um erro de dependencia do 'sklearn'. 
    Para resolver apenas clonei o repo inteiro e alterei para o nome da dependencia para 'scikit-learn' que é mais atual. Portanto,
    os créditos deste pacote são inteiramente dos criadores do pacote original pretty-confusion-matrix.
promptimizer 0.1.0
An elegant LLM prompt optimizer and prompt builder.
License: MIT
Requires Python: >=3.8

# Promptimizer

Promptimizer is "prompt" + "optimizer", which is a prompt optimizer. It aims to build the high-quality LLM prompts for everyone. It can build and optimize an elegant prompt for you.

We use structured prompt templates to guide LLM in building an efficient prompt that can more accurately output the answers users want.

![usage.png](./docs%2Fimages%2Fusage.png)

# Setup

## Pip (Method1 Recommend)

Open terminal and enter the following command.

```shell
pip install promptimizer
```

Using following command to open client.

```text
promptimizer
```

## Git Clone (Method2)

Clone repo to local.

```shell
git clone https://github.com/Undertone0809/promptimizer
```

Install all relevant packages.

```shell
pip install poetry
poetry install 
```

Copy `.env.example` rename it as `.env`, saving it to the root directory of the current project. Fill in your openai key in `.env`.

```text
OPENAI_API_KEY=your-key
```

Run the script.

```shell
python main.py
```