Saravanan666/pypi-org huggingface dataset:
Package: mixturelib
Basic informationImplementation code for a mixture of models. Thesource codefor the problem of the mixture of models and the task of the mixture of experts is presented.All methods were implemented based onpytorchfor simple parallelization by usingcuda.All information about this project can be found in thedocumentation.Requirements and InstallationA simple instruction of installation using pip is provided near thesource code.More information about installation can be found in documentationinstallationpage.Example of useA simple examples of module usage can be found in documentationexamplepage.
Package: mixturemapping
MixtureMappingTrain Gaussian Mixture MappingsProvides:Layers to build tensorflow models to map Gaussian mixturesTools to compute yield values of Gaussian mixtures in complex binning schemesExampleimport mixturemapping as mm  
import tensorflow as tf

inMeans = tf.keras.Input(shape=(mixN, inputMixM), name="Means", dtype=dataType)
inStdDevs = tf.keras.Input(shape=(mixN, inputMixM), name="StdDevs", dtype=dataType)
inWeight = tf.keras.Input(shape=(mixN), name="Weights", dtype=dataType)

mapModel = tf.keras.Sequential()
mapModel.add( tf.keras.layers.Dense(40, activation="relu", kernel_regularizer=regularizers.l2(0.001)) )
mapModel.add( tf.keras.layers.Dense(40, activation="relu", kernel_regularizer=regularizers.l2(0.001)) )
mapModel.add( tf.keras.layers.Dense(outputMixM))
y = mapModel(inMeans)

deltaModel = tf.keras.Sequential()
deltaModel.add( tf.keras.layers.Dense(40, activation="relu", kernel_regularizer=regularizers.l2(0.001)) )
deltaModel.add( tf.keras.layers.Dense(40, activation="relu", kernel_regularizer=regularizers.l2(0.001)) )
deltaModel.add( tf.keras.layers.Dense(outputMixM))
yDelta = deltaModel(inMeans)

covALayer = mm.layers.TrainableCovMatrix(outputMixM, name="CovA")
covA = covALayer(inMeans)

mapLayer = mm.layers.GeneralMapping(outputMixM, name="Mapping", dtype=dataType)
newDist = mapLayer({'means': inMeans, 'y':y, 'yDelta':yDelta, 'stdDevs': inStdDevs, 'weights': inWeight, 'covA': covA})

distLayer = mm.layers.Distribution(dtype=dataType, regularize_cov_epsilon=0.95)
dist = distLayer(newDist)Developement$ py -m venv env
$ .\env\Scripts\activate
$ pip install -r requirements.txt
Package: mixturemapping-binning
MixtureMappingTrain Gaussian Mixture MappingsProvides:Layers to build tensorflow models to map Gaussian mixturesTools to compute yield values of Gaussian mixtures in complex binning schemesExampleimport mixturemapping as mm  
import tensorflow as tf

inMeans = tf.keras.Input(shape=(mixN, inputMixM), name="Means", dtype=dataType)
inStdDevs = tf.keras.Input(shape=(mixN, inputMixM), name="StdDevs", dtype=dataType)
inWeight = tf.keras.Input(shape=(mixN), name="Weights", dtype=dataType)

mapModel = tf.keras.Sequential()
mapModel.add( tf.keras.layers.Dense(40, activation="relu", kernel_regularizer=regularizers.l2(0.001)) )
mapModel.add( tf.keras.layers.Dense(40, activation="relu", kernel_regularizer=regularizers.l2(0.001)) )
mapModel.add( tf.keras.layers.Dense(outputMixM))
y = mapModel(inMeans)

deltaModel = tf.keras.Sequential()
deltaModel.add( tf.keras.layers.Dense(40, activation="relu", kernel_regularizer=regularizers.l2(0.001)) )
deltaModel.add( tf.keras.layers.Dense(40, activation="relu", kernel_regularizer=regularizers.l2(0.001)) )
deltaModel.add( tf.keras.layers.Dense(outputMixM))
yDelta = deltaModel(inMeans)

covALayer = mm.layers.TrainableCovMatrix(outputMixM, name="CovA")
covA = covALayer(inMeans)

mapLayer = mm.layers.GeneralMapping(outputMixM, name="Mapping", dtype=dataType)
newDist = mapLayer({'means': inMeans, 'y':y, 'yDelta':yDelta, 'stdDevs': inStdDevs, 'weights': inWeight, 'covA': covA})

distLayer = mm.layers.Distribution(dtype=dataType, regularize_cov_epsilon=0.95)
dist = distLayer(newDist)Developement$ py -m venv env
$ .\env\Scripts\activate
$ pip install -r requirements.txt
Package: mixxx-bisect
Mixxx BisectA small tool for finding regressions inMixxx, inspired bymozregression. The tool binary searches over a commit range and lets the user tag automatically downloaded Mixxx snapshots with good/bad to identify the commit introducing the regression.[!NOTE]
Themixxx.org downloads serveronly provides binary snapshots for macOS and Windows, thereforem1xxxis the only supported snapshot repository on Linux.UsageTo search a specific range of commits, run:mixxx-bisect-g<goodcommit>-b<badcommit>To search the entire range of available snapshots, runmixxx-bisectwithout arguments.DevelopmentTo set up a development environment, create a venv withpython3-mvenvvenv
.venv/bin/activateThen, install the package along with its dependencies in editable mode:pip3install-e.mixxx-bisectshould now be on thePATHin the venv.
Package: mixxxmap
This project contains some python tools to automate Mixxx MIDI mapping file
management. With this tool you can write well-formed XML .midi.xml files from
simple text configuration files, possibly mapping multiple channels and decks
with one configuration line.The script does also create a stub .js template file for MIDI scripts.This script was used to create controller mappings for CDJ-2000, all input files
in this project are in data directory. Only manual changes were to finish the
generated .js stub functions.Example command used to create this mapping was:mixxx-create-midimap –midi-id=’PIONEER CDJ 2000’ –name=’Pioneer CDJ-2000’–prefix=PioneerCDJ2000 –decks=2 –midi-channels=1,2 –script-template-directory=/tmp –author=”Ilkka Tuohela”–email=hile@iki.fi-D “Pioneer CDJ-2000 configuration for 2 decks on midi channels 1 and 2” data/cdj.controlsEXAMPLESSee files in data directory for examples of control and output configuration
files.CONFIGURATION FILESThe script expects two configuration files on command line:
- first argument contains configurations for controls
- second argument contains configurations for outputsInvalid lines in files are ignored, so we can keep all fields in there even if
not mapped.Control files have following syntax:
Group:Key <midicode> <hexvalue> {options} # commentIf Group is ‘Channel’, you can automatically create configuration for both
decks with flags -d2 and -c1,2 (MIDI channels 1 and 2) to the scriptKey must be valid command in mixxx, unless scripts are created, in which case
it needs to be valid js function namemidicode is a variable defined in mixxxmap.midi_constants, see
pydoc mixxxmap.midi_constants. This is combined with MIDI channel
to create mixxx config ‘status’ keyhexvalue is the MIDI code value, 0x00 to 0x7foptions can contain any of the valid control option names,separtated by comma.
You can list supported values with following command:
python -c ‘from mixxxmap.midimap import CONTROL_OPTION_NAMES;print CONTROL_OPTION_NAMES’comment is just a comment string, which is added to the .midi.xml file for
the control if defined.If the options contain ‘Script-Binding’, the script function name is parsed
from the ‘key’ field. In this case, ‘key’ doesn’t need to be valid mixxx key.Output files have following syntax:
Group:Key <midicode> <hexvalue> <on> <off>
Similar to controls, with additional required arguments for on and off values.
If both on and off are not given, values 0.0 and 1.0 are used.
Package: mixy
MixyA Highly Flexible and Customizable CLI Project TemplaterReport Bug·Request FeatureAbout the projectMixy is a CLI tool used to create projects based on one or more templates. Templates can be files, directories, git repositories, or any other supported source of content, and allow you to customize them with variables. It combines the templates into a single project directory. As a flexible tool, Mixy uses a configuration file to define a project, which can be reused since variables are replaced with values at runtime. For example, you can use Mixy to create a Flask web app project by combining multiple templates from GitHub.WarningThis project is in early development and is rapidly evolving.
This means you can expect:Missing featuresNo stability guaranteesBugsGetting StartedPrerequisitesThis project requires python 3.11 or later to be installed.InstallationIt is recommended to use a virtual environment to install Mixy and avoid conflicts with other packages. You can create and activate a virtual environment with:python -m venv envTo activate the virtual environment, you can use the following command depending on your platform:On Windows, run:env\Scripts\activate.batOn Unix or MacOS, run:source env/bin/activateInstallation can be done using pip:pip install mixyTo verify that Mixy was installed correctly, you can run:mixy --versionUsageComing soonLicenseSee theLICENSEfile.AuthorsAlexis Beaulieuback to top
Package: miyabiname
packagingclickコマンドを使ったパッケージングの練習
[必要なモジュールについて(requirements.txt Pipfile Pipfile.lockの必要性)]利用者はこのリポジトリをクローンしたらpipenvまたはvenv環境内で利用することが可能であるpipenvで使用するときはhelloName/packaging/helloNameに入り込みpipenv run [コマンド] (ここではpipenv run ./helloworld.py -n miyabi)で利用pipenvが入っていない場合は入れてあげるvenvの仮想環境を利用する場合はhelloName/packagingに入り込みpython3 -m venv venvを実行仮想環境を構築したら . ./venv/bin/activate を実行し、仮想環境内に入り込むpip install -r requirements.txtを仮想環境の中で実行し、仮想環境内に必要なモジュールをインストールするvenvで実行する場合は仮想環境に入り込んだまま ./helloworld.py -n [NAME] で実行venvは仮想環境に入り込んでいないと必要なモジュールがグローバル環境にない可能性があるため、コマンドが実行できない可能性がある
Package: miyadaiku-theme-bootstrap4
ProvidesBootstrap44.4.1 CSS and Javascript files.InstallationUse pip command to install Bootstrap 4.$ pip3 install miyadaiku_theme_bootstrap4ConfiguraionIn your config.yml file of your project, add following configuration atthemessection.themes:
  - miyadaiku_theme_bootstrap4    # <---- add this lineUsageAdd following code to your template files.<!-- include boolstrap4 -->
{{ bootstrap4.load_css(page) }}

<!-- include jquery.js -->
{{ jquery.load_js(page) }}

<!-- include popper.js -->
{{ popper_js.load_js(page) }}

<!-- include boolstrap4 js -->
{{ bootstrap4.load_js(page) }}Examplehttps://github.com/miyadaiku/miyadaiku-docs/tree/master/samples/bootstrap4
Package: miyadaiku-theme-fontawesome
Provides Font Awesome files.InstallationUse pip command to install Font Awesome.$ pip install miyadaiku_theme_fontawesomeConfiguraionIn your config.yml file of your project, add following configuration atthemessection.themes:
  - miyadaiku_theme_fontawesome    # <---- add this lineUsageAdd following code to your template files.<!-- include fontawesome -->
{{ fontawesome.load_css(page) }}
Package: miyadaiku-theme-jquery
Provides jQuery files.InstallationUse pip command to install jQuery.$ pip install miyadaiku_theme_jqueryConfiguraionIn your config.yml file of your project, add following configuration atthemessection.themes:
  - miyadaiku_theme_jquery    # <---- add this lineUsageAdd following code to your template files.<!-- include jquery.js -->
{{ jquery.load_js(page) }}
Package: miyadaiku-theme-newblog
Newly designed blog theme for miyadaiku static site generator.Installation$ pip install miyadaiku_theme_newblogConfiguraionIn your config.yml file of your project, add following configuration atthemessection.themes:
  - miyadaiku_theme_newblog   # <---- add this lineHistory1.13.0Add block to sidebar.1.12.1Support miyadaiku 1.16.0.1.12.0Add TOC to sidebar.Rename index_tags.yml to index_tag.yml to override tags index provided by miyadaiku.themes.sample.blog.Adjust CSS.1.11.0Use site_title for the title of index.html page.Adjust CSS.1.10.0Minimize CSS.
Package: miyadaiku-theme-popper-js
ProvidesPopper.js 1.16.1files.InstallationUse pip command to install Popper.js.$ pip3 install miyadaiku_theme_popper_jsConfiguraionIn your config.yml file of your project, add following configuration atthemessection.themes:
  - miyadaiku_theme_popper_js    # <---- add this lineUsageAdd following code to your template files.<!-- include Popper.js -->
{{ popper_js.load_js(page) }}
Package: miyadaiku.themes.bootstrap4
ProvidesBootstrap44.2.1 CSS and Javascript files.InstallationUse pip command to install Bootstrap 4.$ pip3 install miyadaiku.themes.bootstrap4miyadaiku.themes.jqueryandmiyadaiku.themes.popper_jsare also installed automatically.ConfiguraionIn your config.yml file of your project, add following configuration atthemessection.themes:
  - miyadaiku.themes.bootstrap4    # <---- add this lineUsageAdd following code to your template files.<!-- include boolstrap4 -->
{{ bootstrap4.load_css(page) }}

<!-- include jquery.js -->
{{ jquery.load_js(page) }}

<!-- include popper.js -->
{{ popper_js.load_js(page) }}

<!-- include boolstrap4 js -->
{{ bootstrap4.load_js(page) }}Examplehttps://github.com/miyadaiku/miyadaiku-docs/tree/master/samples/bootstrap4
Package: miyadaiku.themes.fontawesome
Provides Font Awesome files.InstallationUse pip command to install Font Awesome.$ pip install miyadaiku.themes.fontawesomeConfiguraionIn your config.yml file of your project, add following configuration atthemessection.themes:
  - miyadaiku.themes.fontawesome    # <---- add this lineUsageAdd following code to your template files.<!-- include fontawesome -->
{{ fontawesome.load_css(page) }}
Package: miyadaiku.themes.fullpagejs
ProvidesfullPage.jsfiles.InstallationUse pip command to install fullPage.js$ pip install miyadaiku.themes.fullpagejsConfiguraionIn your config.yml file of your project, add following configuration atthemessection.themes:
  - miyadaiku.themes.fullpagejs # <---- add this lineUsageAdd following code to your template files.<!-- include jquery.js -->
{{ jquery.load_js(page) }}

<!-- include fullPage.js -->
{{ fullpagejs.load(page) }}
Package: miyadaiku.themes.jquery
Provides jQuery files.InstallationUse pip command to install jQuery.$ pip install miyadaiku.themes.jqueryConfiguraionIn your config.yml file of your project, add following configuration atthemessection.themes:
  - miyadaiku.themes.jquery    # <---- add this lineUsageAdd following code to your template files.<!-- include jquery.js -->
{{ jquery.load_js(page) }}
Package: miyadaiku.themes.popper-js
ProvidesPopper.js 1.14.7files.InstallationUse pip command to install Popper.js.$ pip3 install miyadaiku.themes.popper_jsConfiguraionIn your config.yml file of your project, add following configuration atthemessection.themes:
  - miyadaiku.themes.popper_js    # <---- add this lineUsageAdd following code to your template files.<!-- include Popper.js -->
{{ popper_js.load_js(page) }}
Package: miyadaiku.themes.tether
Providestether 1.4.5files.InstallationUse pip command to install tether.$ pip install miyadaiku.themes.tetherConfiguraionIn your config.yml file of your project, add following configuration atthemessection.themes:
  - miyadaiku.themes.tether    # <---- add this lineUsageAdd following code to your template files.<!-- include tether.js -->
{{ tether.load_js(page) }}
Package: miyadaiku-theme-tether
Providestether 1.4.7files.InstallationUse pip command to install tether.$ pip install miyadaiku_theme_tetherConfiguraionIn your config.yml file of your project, add following configuration atthemessection.themes:
  - miyadaiku_theme_tether    # <---- add this lineUsageAdd following code to your template files.<!-- include tether.js -->
{{ tether.load_js(page) }}
Package: mizar
The MizarAI Platform APIWelcome to the MizarAI platform API! This package enables the user to interact
with theMizarAIplatform.InstallationTo install the package please run:pipinstallmizarMizarMizar is building a marketplace for algo-traders to deploy and share their trading strategies with investors. Please visit the websitemizar.aito learn more.LinksWebsite:https://mizar.ai/PyPi Releases:https://pypi.org/project/mizar/Source Code:https://github.com/MizarAI/mizar/
Package: mizar-labs
Welcome to Mizar LabsMizar Labs is an open source repository containing state of the art machine learning modules specifically designed for working with financial time series. These modules aim to assist the user with building financial machine learning models by taking into account the caveats that arise when dealing with financial time series. A lot of the concepts are inspired byMarcos Lopez de Pradoand his bookAdvances in Financial Machine Learning (2018).Most of the modules follow thescikit-learnAPI and work with methods likefitandtransform.Please read thedocumentationfor further explanation of the modules.InstallingBefore installing the package please installTA-Lib dependenciesInstall and update withpip:$pipinstallmizar-labsTutorialsIn the future this section will have links to Jupyter Notebooks explaining how to use the modules.MizarMizar is building a marketplace for algo-traders to deploy and share their trading strategies with investors. Please visit the websitemizar.aito learn more.LinksDocumentation:https://mizarlabs.readthedocs.io/Website:https://mizar.ai/PyPi Releases:https://pypi.org/project/mizar-labs/Source Code:https://github.com/MizarAI/mizar-labs
Package: mizcore
# mizcoreMizar Core Library## EnvironmentOS
- Linux (Tested on Ubuntu 20.04 LTS)Compiler
- GCC (Tested on GCC 9.3.0)## Build`bash sudo apt installbuild-essentialcmake flex bisonclang-tidyclang-formatgit clonehttps://github.com/mimosa-project/mizcore.git--recursivecd mizcore mkdir build cd build cmake .. make `### Build with clang` cmake-C../clang-cmakeinit.cmake.. make `### Cross compile for windows`bash docker build-tllvm-mingw./x86_64-w64-mingw/docker run--rm-v$(pwd):/mizcorellvm-mingwsh/mizcore/x86_64-w64-mingw/build.sh`Note: You need to putlibc++.dll,libunwind.dllin the same directory as the executable. Refer to/x86_64-w64-mingw/build.sh### Cross compile for mac`bash docker build-tosxcross./x86_64-apple-darwin/docker run--rm-v$(pwd):/mizcoreosxcross sh/mizcore/x86_64-apple-darwin/build.sh`## Test`bash cd build ctest `## build python` python setup.py build `## Development### InstallationAll developers are supposed to inspect the source code with clang-tidy and clang-format before committing.`bash sudo apt installclang-tidyclang-format`It is also recommended that VSCode users install the following extensions for on-the-fly inspection.[Clang-Format](https://marketplace.visualstudio.com/items?itemName=xaver.clang-format)[Clang-Tidy](https://marketplace.visualstudio.com/items?itemName=notskm.clang-tidy)## TODOPython binding (in another project).JavaScript binding (in another project).Support GitHub Actions.
Package: mizdb-inlines
mizdb-inlinesDjango inline formsets with bootstrap for the MIZDB app.Requiresdjango_bootstrap5.Formsets will be rendered in a layout with two columns. One column is for the formset
form, and the other column is for the delete button of a given formset form.InstallationInstall using pip:pipinstallmizdb-inlinesAdd to yourINSTALLED_APPSin yoursettings.py:INSTALLED_APPS=[...,"mizdb_inlines",]UsageAddmizdb_inlines/js/mizdb_inlines.jsjavascript and render the formset using theinline_formsettemplate tag from themizdb_inlinestemplate tag library:<!DOCTYPE html>{% load static mizdb_inlines django_bootstrap5 %}<htmllang="en"><head><metacharset="UTF-8"><title>My Awesome Form</title>{{ combined_media }}<scriptsrc="{% static 'mizdb_inlines/js/mizdb_inlines.js' %}"></script>{% bootstrap_css %}
    {% bootstrap_javascript %}</head><body><formclass="container mt-3"method="post">{% csrf_token %}

    {% bootstrap_form form %}
    {% inline_formset formset layout="horizontal" %}
    {% bootstrap_button button_type="submit" button_class="btn-success" content="Save" %}
    {% bootstrap_button button_type="reset" button_class="btn-warning" content="Reset" %}</form></body></html>The template tag instantiates anInlineFormsetRendererand returns the renderersrender()output.
The template tag passes all keyword arguments along to the renderer.
The renderer takes an additional keyword argumentadd_textwith which you can set the text of the add button (defaults to the verbose name of the inline formset model).
For example, in a template:{% inline_formset formset layout="horizontal" add_text="Add another delicious Topping" %}View mixin for inline formsetsUse theInlineFormsetMixinview mixin to remove some of the boilerplate from handling inline formsets.
Simply declare the formset classes to use in theformset_classesattribute.frommizdb_inlines.viewsimportInlineFormsetMixinclassMyView(InlineFormsetMixin,UpdateView):model=Pizzafields="__all__"template_name="pizza.html"success_url="/"formset_classes=(inlineformset_factory(Pizza,Toppings,fields="__all__",extra=1),MyAwesomeFormset,)This will add formset instances to the template context with the context variableformsets.
The combined media of the formsets and the view's model form is available with the variablecombined_media:{{ combined_media }}

{% for formset in formsets %}
    {% inline_formset formset %}
{% endfor %}To perform additional actions after the form and formsets have been saved, you can use
thepost_savehook:classMyView(InlineFormsetMixin,UpdateView):...defpost_save(self,form,formsets):# Log that the form was saved:create_logentry(form,formsets)Development & Demopython3-mvenvvenvsourcevenv/bin/activate
makeinitSee the demo for a preview: runmake init-demoand then start the demo serverpython demo/manage.py runserver.Run tests withmake test. To install required browsers for playwright:playwright install.
Package: mizu
mizu 💧DocumentationMizu written by rust and usedpulldown-cmark.InstallationpipinstallmizuOrpipinstall"mizu @ git+https://github.com/tuna2134/mizu"PerformanceThese performance test codes are in tests.3.10:26ms3.11:0.32msExampleBasic:frommizuimportMizumd=Mizu()md.parse("# Hello tuna2134")Extension:frommizuimportMizu,Optionsmd=Mizu(Options(tasklists=True))md.parse("""[ ] - hello[ ] - hi""")
Package: mja-graphene-sqlalchemy
Please readUPGRADE-v2.0.mdto learn how to upgrade to Graphene2.0.Graphene-SQLAlchemyASQLAlchemyintegration forGraphene.InstallationFor instaling graphene, just run this command in your shellpipinstall"graphene-sqlalchemy>=2.0"ExamplesHere is a simple SQLAlchemy model:fromsqlalchemyimportColumn,Integer,Stringfromsqlalchemy.ormimportbackref,relationshipfromsqlalchemy.ext.declarativeimportdeclarative_baseBase=declarative_base()classUserModel(Base):__tablename__='department'id=Column(Integer,primary_key=True)name=Column(String)last_name=Column(String)To create a GraphQL schema for it you simply have to write the
following:fromgraphene_sqlalchemyimportSQLAlchemyObjectTypeclassUser(SQLAlchemyObjectType):classMeta:model=UserModelclassQuery(graphene.ObjectType):users=graphene.List(User)defresolve_users(self,info):query=User.get_query(info)# SQLAlchemy queryreturnquery.all()schema=graphene.Schema(query=Query)Then you can simply query the schema:query='''
    query {
      users {
        name,
        lastName
      }
    }
'''result=schema.execute(query,context_value={'session':db_session})To learn more check out the followingexamples:Full example:Flask SQLAlchemy
exampleContributingAfter cloning this repo, ensure dependencies are installed by running:pythonsetup.pyinstallAfter developing, the full test suite can be evaluated by running:pythonsetup.pytest# Use --pytest-args="-v -s" for verbose mode