semvec/pypi-packages huggingface dataset:
montague_mako 0.1.0
Adds Mako template support to the Montague config loading system.
License: MIT

===============================
montague_mako
===============================

| |docs| |travis| |appveyor| |coveralls|
| |version|

.. |docs| image:: https://readthedocs.org/projects/montague_mako/badge/?style=flat
    :target: https://readthedocs.org/projects/montague_mako
    :alt: Documentation Status

.. |travis| image:: http://img.shields.io/travis/inklesspen/montague_mako/master.png?style=flat
    :alt: Travis-CI Build Status
    :target: https://travis-ci.org/inklesspen/montague_mako

.. |appveyor| image:: https://ci.appveyor.com/api/projects/status/github/inklesspen/montague_mako?branch=master
    :alt: AppVeyor Build Status
    :target: https://ci.appveyor.com/project/inklesspen/montague_mako

.. |coveralls| image:: http://img.shields.io/coveralls/inklesspen/montague_mako/master.png?style=flat
    :alt: Coverage Status
    :target: https://coveralls.io/r/inklesspen/montague_mako

.. |version| image:: http://img.shields.io/pypi/v/montague_mako.png?style=flat
    :alt: PyPI Package latest release
    :target: https://pypi.python.org/pypi/montague_mako


Adds Mako template support to the Montague config loading system.

* Free software: BSD license

Installation
============

::

    pip install montague_mako

Documentation
=============

https://montague_mako.readthedocs.org/

Development
===========

To run the all tests run::

    tox


Changelog
=========

0.1.0 (2015-06-16)
-----------------------------------------

* First release on PyPI.
flimfret 0.3
Pipeline for FLIM FRET analysis
License: MIT

flimfret
--------

First, you will need to setup your data folder.
It should look something like this:

yourfolder/
	dateofdatacollection/
		celltype1/
			1.dat
			2.dat
			3.dat
		celltype2/
			1.dat
			2.dat
			3.dat
		celltype3/
			1.dat
			2.dat
			3.dat
etc.

The *.dat files are the lifetime curve output w/fitted models from SymPhoTime (in development: other formats) and MUST be a number and then .dat.

To use (with caution), simply navigate to yourfolder (seen above) and run the following after starting the python interpreter::

    >>> import flimfret
    >>> print flimfret.pipeline()
    
You will be prompted to enter the names of your celltypes--make sure these are spelled correctly!

This will create 
1) a new folder in each celltype folder containing normalized data
2) files with the averages for fit and decay of each celltype
3) files with compiled data for residuals, fit, and decay of each celltype
4) files with long format (suitable for downstream R analysis) compiled data for residuals, fit, and decay of each celltype
5) files with long format (suitable for downstream R analysis) compiled AVERAGES data for fit, and decay of ALL celltypes
microscopestitching 0.2.0
Automatic merge/stitching of regular spaced images
License: MIT
Keywords: microscopestitching

microscopestitching
===================

|build-status-image| |pypi-version| |wheel|

Overview
--------

This software aims to be a reliable way to stitch your microscope
images. To get good results, a couple of assumptions should be true
about your dataset:

-  images are regular spaced
-  images are of same size
-  side by side images have translation only in one dimension
-  (if not, check your scanning mirror rotation)
-  scale in edge of images are constant

Installation
------------

Install using ``pip``...

.. code:: bash

    pip install microscopestitching

Example
-------

.. code:: python

    from microscopestitching import stitch
    from skimage.io import imsave

    images = []
    for i in range(50):
        row = i // 10
        col = i % 10
        images.append(('%d.png' % i, row, col))

    merged = stitch(images)
    imsave('merged.png', merged)

See also `notebook
examples <http://nbviewer.ipython.org/github/arve0/microscopestitching/blob/master/notebooks/>`__.

API reference
-------------

API reference is at http://microscopestitching.rtfd.org.

Development
-----------

Install dependencies and link development version of microscopestitching
to pip:

.. code:: bash

    git clone https://github.com/arve0/microscopestitching
    cd microscopestitching
    pip install -r requirements.txt # install dependencies and microscopestitching-package

Testing
~~~~~~~

.. code:: bash

    tox

Build documentation locally
~~~~~~~~~~~~~~~~~~~~~~~~~~~

To build the documentation:

.. code:: bash

    pip install -r docs/requirements.txt
    make docs

.. |build-status-image| image:: https://secure.travis-ci.org/arve0/microscopestitching.png?branch=master
   :target: http://travis-ci.org/arve0/microscopestitching?branch=master
.. |pypi-version| image:: https://pypip.in/version/microscopestitching/badge.svg
   :target: https://pypi.python.org/pypi/microscopestitching
.. |wheel| image:: https://pypip.in/wheel/microscopestitching/badge.svg
   :target: https://pypi.python.org/pypi/microscopestitching
montague_testapps 0.1.3
Test applications for Montague (mostly extracted from the PasteDeploy test suite)
License: MIT

===============================
montague_testapps
===============================

These are test applications and other entry points for the
`Montague <https://pypi.python.org/pypi/montague>`__ configuration
loading library. Most of them were extracted from the PasteDeploy test
suite.

They are a separate package so they can be used by multiple Montague
packages.


Changelog
=========

0.1.3 (2015-06-17)
-----------------------------------------

* Removed unused zope.interface requirement
* Added some 'main' entrypoints (using existing objects)
* Imported the submodules into the main namespace

0.1.2 (2015-06-14)
-----------------------------------------

* Removed testjson config loader; it's been merged into montague

0.1.1 (2015-05-23)
-----------------------------------------

* Fixed entry point syntax

0.1.0 (2014-06-10)
-----------------------------------------

* First release on PyPI.