Esempio n. 1
0
# -*- coding: utf-8 -*-

# <codecell>

import ipykee

ipykee.create_project(
    "Articles",
    repository="[email protected]:hushchyn-mikhail/CERN_Time_Series.git")
session = ipykee.Session(project_name="Articles")

# <codecell>

session.commit("First commit")
print "Ratio is ", float(memory)/float(total)*100

# <codecell>

#Total released memory
memory = memory1+memory23+memory3

print "memory is ", memory
print "total memory is ", total
print "memory can be released is ", can_released
print "Ratio is ", float(memory)/float(total)*100

# <codecell>

import ipykee
ipykee.create_project("A._TimeSeriesAnalysis", internal_path="A._TimeSeriesAnalysis", repository="[email protected]:hushchyn-mikhail/CERN_Time_Series.git")
session = ipykee.Session(project_name="A._TimeSeriesAnalysis")

# <codecell>

session.commit("First commit")

# <codecell>

session.add(report, "report")
session.add(report2, "report2")
session.add(report_train, "report_train")
session.add(report_train2, "report_train2")

# <codecell>
Esempio n. 3
0
# -*- coding: utf-8 -*-

# <codecell>

variable = 136123
string_variable = "foo bar"
dict_variable = {"foo": 123, "bar": 146}

# <codecell>

import ipykee
ipykee.create_project("tutorial_remote",
                      internal_path="ipykee-storage",
                      repository="[email protected]:anaderi/ipykee_test.git")
session = ipykee.Session(project_name="tutorial_remote")

# <codecell>

session.add(value=variable, key="variable")
session.add(value=string_variable, key="string")
session.add(value=dict_variable, key="dict")
session.show_added()

# <codecell>

session.commit("Our first commit!")

# <codecell>

session.show_added()
# -*- coding: utf-8 -*-


# <codecell>

import ipykee
ipykee.create_project("Articles", repository="[email protected]:hushchyn-mikhail/CERN_Time_Series.git")
session = ipykee.Session(project_name="Articles")

# <codecell>

session.commit("First commit")
    plt.plot(cuts, good_memory, 'r', label = 'good memory')
    plt.legend(loc = 'best')
    plt.show()
    
    plt.subplot(1,1,1)
    plt.plot(cuts, part_of_good_memory, 'r', label = 'part of good memory')
    plt.legend(loc = 'best')
    plt.show()
       
        
ReleaseMemoryPlot2(mincut = 0.5, maxcut = 1, N = 100)

# <codecell>

import ipykee
ipykee.create_project("B._Classification", internal_path="B._Classification", repository="[email protected]:hushchyn-mikhail/CERN_Time_Series.git")
session = ipykee.Session(project_name="B._Classification")

# <codecell>

import ipykee
ipykee.create_project("B._Classification", internal_path="B._Classification", repository="[email protected]:hushchyn-mikhail/CERN_Time_Series.git")
session = ipykee.Session(project_name="B._Classification")

# <codecell>

import ipykee
#ipykee.create_project("B._Classification", internal_path="B._Classification", repository="[email protected]:hushchyn-mikhail/CERN_Time_Series.git")
session = ipykee.Session(project_name="B._Classification")

# <codecell>