Saravanan666/pypi-org huggingface dataset:
Package: smh
=======Spectroscopy Made Hard=======:Info: See the `GitHub repository <http://github.com/andycasey/smh/tree/master>`_ for the latest source:Author: `Andy Casey <acasey@mso.anu.edu.au>`_ (acasey@mso.anu.edu.au):License: Don't distribute. This code is only given out to good friends.This code can be used to measure the stellar parameters and detailedchemical abundances of a star from high-resolution spectroscopic data,using a traditional curve-of-growth analysis, and incorporating `MOOG<http://www.as.utexas.edu/~chris/moog.html>`_.Requirements------------- You will require the `Enthought Python Distribution<http://www.enthought.com/products/edudownload.php>`_ (use the32-bit version only). This code is free for academic use, but you mayneed to `register using your institution email address<https://www2.enthought.com/accounts/register/?next=/licenses/academic>`_.- The non-interactive version of `MOOG<http://www.as.utexas.edu/~chris/moog.html>`_, known as ``MOOGSILENT``. Aslong as you have the appropriate command line tools, you can install``MOOG`` and ``MOOGSILENT`` using ``pip``:``sudo pip install moog``(If you don't have ``pip`` installed, you can install it with``easy_install pip`` and then use ``easy_install`` any time you wouldhave used ``pip``, `see here why<http://stackoverflow.com/questions/3220404/why-use-pip-over-easy-install>`_.)Installation------------The best way to download the code is to use ``git``. If you don't have``git``, you can `download it for free <http://git-scm.com/downloads>`_.Make sure you follow the setup instructions `here <https://help.github.com/articles/set-up-git>`_to make things easier for yourself in the future. If you are asked for apassword when trying to use the ``sudo`` command, then you should enteryour administrator password for your machine, not your GitHubaccount password. Once ``git`` is set up, use the following command in aterminal:``git clone git@github.com:andycasey/smh.git smh``That will clone the entire repository into a fresh folder called ``smh``.Whenever there is a new version of the code or a bug-fix, you can downloadthe latest copy by ``cd``'ing to your ``smh`` directory then using:``git pull``And that's it! If you encounter unexpected bugs, please copy the entirestack trace (error log) you get into a new `GitHub issue<https://github.com/andycasey/smh/issues/new>`_ along witha detailed description of what you were trying to do when the erroroccurred.Usage-----Unless you've set up an alias, just ``cd`` to your ``smh`` directory then use:``python main.py``Wiki----There is an `incomplete Wiki <https://github.com/andycasey/smh/wiki>`_ (that you can contribute to) which takes youthrough all the analysis steps in SMH.
Package: smhasher
python-smhasheris a Python 2.x/3.x wrapper for theSMHashernon-cryptographic
hashing library. It currently supports the MurmurHash3 64-/128-bit and
x86/x64 variants.License: MIT LicenseUsage>>> import smhasher
>>> [k for k in dir(smhasher) if k[0] == 'm']
['murmur3_x64_128', 'murmur3_x64_64', 'murmur3_x86_128', 'murmur3_x86_64']

>>> smhasher.murmur3_x86_128('hello')
213030289162235495270783145757721615258L

>>> seed = 1138
>>> smhasher.murmur3_x86_128('hello', seed)
94758481705480737162820094006203962724L
Package: smh-data-augmentation
Data AugmentatorDescriptionThis tool allows to generate modified data while keeping the statistical invariant, also known as data augmentation. It is useful to train machine learning models that need a huge amount of data and reduce the variance in predictions, see theBias–variance tradeoff.FeaturesImagesCalculate new point positions.Recalculate bounding boxes.Command Line Interfacepython3-mdata_augmentation.img-hTODOPIP packageOther domains than images.AlternativesThis library is intented for internal uses of the lab so there could be others that fit better to your needs, see:imgaug
Package: smhi-open-data
SMHI Open Data APISimple Python interface to the Swedish Meteorological and Hydrological Institute's (SMHI)Open Data API.Weather data from Sweden are publicly available through SMHI's Open Data API. Fetch raw weather observations from all available weather stations in Sweden. Parameters available includetemperature,windspeed,humidity,pressure,precipitation_, and many more.RequirementsPython 3.6+Installation$pipinstallsmhi-open-dataExamplefromsmhi_open_dataimportSMHIOpenDataClient,Parameter# Get 10 stationsclient=SMHIOpenDataClient()# Get all stationsstations=client.get_stations()# Get closest stationclosest_station=client.get_closest_station(latitude=55.707722,longitude=12.562119)# Get available parametersparameters=client.list_parameters()# Get available parameters at stationparameters_station=client.get_station_parameters(station_id=173010)# Get temperature observations from available stations from past hourobservations=client.get_latest_observations(parameter=Parameter.TemperaturePast1h)TestsRun tests$python-munittestdiscovertests