prepare for v0.4.0 and conda package

Author: TjarkMiener

README.md

@@ -50,25 +50,9 @@ Run LikelihoodCombiner from the command line:
 
 ```bash
 LikelihoodCombiner_dir=</installation/path>/likelihood_combiner
-python $LikelihoodCombiner_dir/likelihood_combiner/combiner.py $LikelihoodCombiner_dir/config/example_config.yml 
+python $LikelihoodCombiner_dir/scripts/{local|cluster}.py $LikelihoodCombiner_dir/config/example_config.yml 
 ```
 
-Alternatively, import LikelihoodCombiner as a module in a Python script:
-  
-```python
-import yaml
-from likelihood_combiner.combiner import run_combiner
- 
-with open('</installation/path>/config/example_config.yml', 'r') as myconfig:
-    config = yaml.safe_load(myconfig)
-
-# Combining limits
-sigmavULs = {}
-sigmavULs_Jnuisance = {}
-for channel in config['Configuration']['channels']: 
-    run_combiner(config, channel, sigmavULs, sigmavULs_Jnuisance)
-```
-
 ### Mock data 
 
 The data you can find in the LikelihoodCombiner, where produced with [gLike](https://github.com/javierrico/gLike/) using the [mock data](https://github.com/javierrico/gLike/tree/master/data). These txt files **don't** correspond to IACT observations of Segue 1 or Ursa Major II and are only included for testing the code framework.

bld.bat

@@ -0,0 +1,2 @@
+"%PYTHON%" setup.py install
+if errorlevel 1 exit 1

build.sh

@@ -0,0 +1,2 @@
+#!/bin/bash
+$PYTHON setup.py install

config/gloryduck_config.yml

@@ -1,20 +1,23 @@
 Hardware:
-  cpu_counts: all
+  cpu_counts: 30
 Data:
-  data_directory: /Users/tmiener/Documents/likelihood_combiner/data/
-  cl_bands: true
+  data_directory: /data2/users/tjark/likelihood_combiner/data/
   simulations: 300
-  J_nuisance: true
-  JFactor_table: /Users/tmiener/Documents/likelihood_combiner/data/Jfactor_Geringer-SamethTable.txt
+  j_nuisance: true
+  j_factors: 'GeringerSameth'
+  #j_factors: 'Bonnivard'
   # Define the sigma ranges
   sigmaV_min: 1e-28
   sigmaV_max: 1e-18
   sigmaV_nPoints: 1001
 Configuration:
-  channels: ['bb', 'ee', 'mumu', 'tautau', 'tt', 'hh', 'gammagamma', 'WW', 'ZZ']
+  channels: ['bb', 'tautau', 'ee', 'mumu', 'tt', 'gammagamma', 'WW', 'ZZ']
   sources: ['BootesI', 'CanesVenaticiI', 'CanesVenaticiII', 'Carina', 'ComaBerenices', 'Draco', 'Fornax', 'Hercules', 'LeoI', 'LeoII', 'LeoIV', 'LeoT', 'LeoV', 'Sculptor', 'Segue1', 'Segue2', 'Sextans', 'UrsaMajorI', 'UrsaMajorII', 'UrsaMinor']
-  collaborations: ['HAWC', 'FermiLAT', 'HESS', 'MAGIC', 'VERITAS']
+  collaborations: {'HAWC': 2.6, 'Fermi-LAT': 2.6, 'MAGIC': 2.6, 'VERITAS': 2.6, 'HESS': 0.1}
+  #collaborations: {'HAWC': 9.9, 'Fermi-LAT': 9.9, 'MAGIC': 9.9, 'VERITAS': 9.9, 'HESS': 0.1}
 Output:
-  output_directory: /Users/tmiener/Documents/likelihood_combiner/gloryduck_output/
+  output_directory: /data2/users/tjark/likelihood_combiner/GloryDuck/
   hdf5_dataset: gloryduck_lklcom.h5
   collaboration_plot: true
+
+

meta.yml

@@ -0,0 +1,49 @@
+package:
+  name: likelihood_combiner
+  version: "0.4.0"
+
+source:
+  git_url: https://github.com/TjarkMiener/likelihood_combiner
+  git_rev: v0.4.0
+
+build:
+  number: 0
+
+requirements:
+  build:
+    - python        
+    - matplotlib
+    - numpy
+    - scipy
+    - pandas
+    - pyyaml
+    - pytables
+  host:
+    - python
+    - matplotlib
+    - numpy
+    - scipy
+    - pandas
+    - pyyaml
+    - pytables
+  run:
+    - python
+    - matplotlib
+    - numpy
+    - scipy
+    - pandas
+    - pyyaml
+    - pytables
+  test:
+    imports:
+      - likelihood_combiner
+
+about:
+  home: https://github.com/TjarkMiener/likelihood_combiner
+  license: GPL-3.0 License
+  license_file: LICENSE
+  summary: LikelihoodCombiner combines likelihoods from different experiments.
+extra:
+  recipe-maintainers:
+    - TjarkMiener
+    - nietootein

setup.py

@@ -1,7 +1,7 @@
 from setuptools import setup, find_packages
 
 setup(name='lklcom',
-      version='0.3.0',
+      version='0.4.0',
       description='LikelihoodCombiner combines likelihoods from different experiments.',
       url='https://github.com/TjarkMiener/likelihood_combiner',
       license='BSD-3-Clause',