request css

Dokerfile-NodeJs

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+#LTS version boron of node available from the Docker Hub
+FROM node:boron
+
+#Create app directory
+RUN mkdir -p /usr/src/app
+WORKDIR /usr/src/app
+
+#Install app dependencies
+COPY package.json /usr/src/app/
+RUN npm install
+
+#Bundle app source
+COPY . /usr/src/app
+
+EXPOSE 8080
+
+
+CMD [ "npm", "start" ]

Untitled-2

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+Procedure installation LeaderBoard
+
+

echopen-leaderboard/Dockerfile

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+#Download base image leaderboard
+FROM python:2.7
+
+
+ADD ./requirements.txt /requirements.txt
+ADD ./manage.py /manage.py
+ADD ./bootcamp/settings.py /settings.py
+ADD ./uploaded_custom.py /uploaded_custom.py
+ADD ./bootcamp/urls.py /urls.py
+ADD ./bootcamp/wsgi.py /wsgi.py
+ADD ./bootcamp/demo.db /demo.db
+ADD ./Procfile /Procfile
+ADD ./bootcamp/decorators.py /decorators.py
+
+ADD ./bootcamp /bootcamp
+#ADD ./processor_node /processor
+
+RUN pip install cython
+RUN pip install numpy
+RUN pip install scikit-image
+RUN pip install -r requirements.txt
+RUN pip install kombu
+RUN pip install Unipath
+RUN pip install callme
+RUN pip install mongoengine
+RUN pip install requests
+RUN python django-admin runserver &
+EXPOSE 8888
+

echopen-leaderboard/ENV/include/python2.7

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+/usr/include/python2.7

echopen-leaderboard/ENV/local/bin

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+/home/risselin/EchOpen/PRJ-medtec_sigproc/echopen-leaderboard/ENV/bin

echopen-leaderboard/ENV/local/include

@@ -0,0 +1 @@
+/home/risselin/EchOpen/PRJ-medtec_sigproc/echopen-leaderboard/ENV/include

echopen-leaderboard/ENV/local/lib

@@ -0,0 +1 @@
+/home/risselin/EchOpen/PRJ-medtec_sigproc/echopen-leaderboard/ENV/lib

echopen-leaderboard/ENV/pip-selfcheck.json

@@ -0,0 +1 @@
+{"last_check":"2017-02-23T15:34:09Z","pypi_version":"9.0.1"}

echopen-leaderboard/ENV/share/doc/networkx-1.11/INSTALL.txt

@@ -0,0 +1,3 @@
+See doc/source/install.rst
+or
+http://networkx.github.io/documentation/latest/install.html

echopen-leaderboard/ENV/share/doc/networkx-1.11/LICENSE.txt

@@ -0,0 +1,40 @@
+License
+=======
+NetworkX is distributed with the BSD license.
+
+::
+
+   Copyright (C) 2004-2016, NetworkX Developers
+   Aric Hagberg <hagberg@lanl.gov>
+   Dan Schult <dschult@colgate.edu>
+   Pieter Swart <swart@lanl.gov>
+   All rights reserved.
+
+   Redistribution and use in source and binary forms, with or without
+   modification, are permitted provided that the following conditions are
+   met:
+
+     * Redistributions of source code must retain the above copyright
+       notice, this list of conditions and the following disclaimer.
+
+     * Redistributions in binary form must reproduce the above
+       copyright notice, this list of conditions and the following
+       disclaimer in the documentation and/or other materials provided
+       with the distribution.
+
+     * Neither the name of the NetworkX Developers nor the names of its
+       contributors may be used to endorse or promote products derived
+       from this software without specific prior written permission.
+
+
+   THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+   "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+   LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+   A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
+   OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
+   SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
+   LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
+   DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
+   THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+   (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+   OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

echopen-leaderboard/ENV/share/doc/networkx-1.11/examples/3d_drawing/mayavi2_spring.py

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+# needs mayavi2 
+# run with ipython -wthread
+import networkx as nx
+import numpy as np
+from enthought.mayavi import mlab
+
+# some graphs to try
+#H=nx.krackhardt_kite_graph()
+#H=nx.Graph();H.add_edge('a','b');H.add_edge('a','c');H.add_edge('a','d')
+#H=nx.grid_2d_graph(4,5)
+H=nx.cycle_graph(20)
+
+# reorder nodes from 0,len(G)-1
+G=nx.convert_node_labels_to_integers(H)
+# 3d spring layout
+pos=nx.spring_layout(G,dim=3)
+# numpy array of x,y,z positions in sorted node order
+xyz=np.array([pos[v] for v in sorted(G)])  
+# scalar colors
+scalars=np.array(G.nodes())+5
+
+mlab.figure(1, bgcolor=(0, 0, 0))
+mlab.clf()
+
+pts = mlab.points3d(xyz[:,0], xyz[:,1], xyz[:,2], 
+                    scalars,
+                    scale_factor=0.1,
+                    scale_mode='none',
+                    colormap='Blues',
+                    resolution=20) 
+
+pts.mlab_source.dataset.lines = np.array(G.edges())
+tube = mlab.pipeline.tube(pts, tube_radius=0.01)
+mlab.pipeline.surface(tube, color=(0.8, 0.8, 0.8))
+
+mlab.savefig('mayavi2_spring.png')
+# mlab.show() # interactive window

echopen-leaderboard/ENV/share/doc/networkx-1.11/examples/advanced/eigenvalues.py

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+#!/usr/bin/env python
+"""
+Create an G{n,m} random graph and compute the eigenvalues.
+Requires numpy and matplotlib.
+"""
+import networkx as nx
+import numpy.linalg
+import matplotlib.pyplot as plt
+
+n = 1000 # 1000 nodes
+m = 5000 # 5000 edges
+G = nx.gnm_random_graph(n,m)
+
+L = nx.normalized_laplacian_matrix(G)
+e = numpy.linalg.eigvals(L.A)
+print("Largest eigenvalue:", max(e))
+print("Smallest eigenvalue:", min(e))
+plt.hist(e,bins=100) # histogram with 100 bins
+plt.xlim(0,2)  # eigenvalues between 0 and 2
+plt.show()

echopen-leaderboard/ENV/share/doc/networkx-1.11/examples/advanced/heavy_metal_umlaut.py

@@ -0,0 +1,77 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+"""
+Example using unicode strings as graph labels.
+
+Also shows creative use of the Heavy Metal Umlaut:
+http://en.wikipedia.org/wiki/Heavy_metal_umlaut
+
+"""
+# Author: Aric Hagberg (hagberg@lanl.gov)
+
+#    Copyright (C) 2006-2016 by
+#    Aric Hagberg <hagberg@lanl.gov>
+#    Dan Schult <dschult@colgate.edu>
+#    Pieter Swart <swart@lanl.gov>
+#    All rights reserved.
+#    BSD license.
+
+import networkx as NX
+try:
+    import pylab as P
+except ImportError:
+    pass
+
+try:
+    hd='H' + unichr(252) + 'sker D' + unichr(252)
+    mh='Mot' + unichr(246) + 'rhead'
+    mc='M' + unichr(246) + 'tley Cr' + unichr(252) + 'e'
+    st='Sp' + unichr(305) + 'n' + unichr(776) + 'al Tap'
+    q='Queensr' + unichr(255) + 'che'
+    boc='Blue ' + unichr(214) +'yster Cult'
+    dt='Deatht' + unichr(246) + 'ngue'
+except NameError:
+    hd='H' + chr(252) + 'sker D' + chr(252)
+    mh='Mot' + chr(246) + 'rhead'
+    mc='M' + chr(246) + 'tley Cr' + chr(252) + 'e'
+    st='Sp' + chr(305) + 'n' + chr(776) + 'al Tap'
+    q='Queensr' + chr(255) + 'che'
+    boc='Blue ' + chr(214) +'yster Cult'
+    dt='Deatht' + chr(246) + 'ngue'
+
+G=NX.Graph()
+G.add_edge(hd,mh)
+G.add_edge(mc,st)
+G.add_edge(boc,mc)
+G.add_edge(boc,dt)
+G.add_edge(st,dt)
+G.add_edge(q,st)
+G.add_edge(dt,mh)
+G.add_edge(st,mh)
+
+# write in UTF-8 encoding
+fh=open('edgelist.utf-8','wb')
+fh.write('# -*- coding: utf-8 -*-\n'.encode('utf-8')) # encoding hint for emacs
+NX.write_multiline_adjlist(G,fh,delimiter='\t', encoding = 'utf-8')
+
+# read and store in UTF-8
+fh=open('edgelist.utf-8','rb')
+H=NX.read_multiline_adjlist(fh,delimiter='\t', encoding = 'utf-8')
+
+for n in G.nodes():
+    if n not in H:
+        print(False)
+
+print(G.nodes())
+
+try:
+    pos=NX.spring_layout(G)
+    NX.draw(G,pos,font_size=16,with_labels=False)
+    for p in pos: # raise text positions
+        pos[p][1]+=0.07
+    NX.draw_networkx_labels(G,pos)
+    P.show()
+except:
+    pass
+
+