/////////////////////////////////////////////////////////////////////////////////////////////////// 
// Embedding CPython with JEP: USe of numpy, pandas and matpplotlib in the same process.
// Requires cpython.py to be put in the scripts folder, or else in the python path.
/////////////////////////////////////////////////////////////////////////////////////////////////// 

//Requirements to the use of JEP:
// 1- PYTHONHOME is set to the python interpreter home folder.	
// 2- jep*.so is in LD_LIBRARY_PATH (e.g. in extensions folder )
// 3- jep*.jar is in the CLASS_PATH (e.g. in extensions folder )
//JEP works with python 2 and 3.

run("jeputils")

//In order to use matplotlib we must set Tk backend before importing plt
eval_jep("import matplotlib")
eval_jep("matplotlib.use('TkAgg')")
    

//Evaluating statements
eval_jep("import sys")
eval_jep("import numpy as np")
eval_jep("a = np.array((100, 100), )")
eval_jep("print (a)")

eval_jep("\
def stderr(str):     \n\
    if sys.version_info < (3,0) :\n\
        exec(\"print >> sys.stderr, '\" + str + \"'\") \n\
    else: \n\
        exec(\"print ('\" + str + \"', file=sys.stderr)\") \n\
")

eval_jep("stderr('Testing stderr')")


//Accessing a numpy array
a=get_jep("a")
print (a.getData()
)
print (a.getDimensions()
)


//Setting numpy array with scan data
steps = [3,4]
dims = [steps[0]+1 , steps[1]+1 ]
r = ascan([m1,m2], [ai1], [0.0,0.0], [0.2,0.2], steps)
data = r.getReadable(0)
a = new_numpy_array(data, dims,'d')
print (to_array(a.getDimensions()))
print (to_array(a.getData()))
plot( Convert.reshape(a.getData(),a.getDimensions()),null, null, null, "Scan Data")


//Calling a module function
b = call_jep("numpy", "transpose", [a,])
print (to_array(b.getDimensions()))
print (to_array(b.getData()))
plot( Convert.reshape(b.getData(),b.getDimensions()),null, null, null, title="Transposed")




//More calculations calling numpy
a = call_jep("numpy", "ones", [[400,200],'d'])
for (var i=0; i<100; i++){
    b = call_jep("numpy", "ones", [[400,200],'d'])
    a = call_jep("numpy", "add", [a,b])
    s = call_jep("numpy", "sum", [a,])
    print (a.getData()[0] + " " +  s
)
    sleep(0.001)
}    

//Calling a local function
data = [1,2,3,4,5,6,7,8,9,0]
dims = [2,5] 
array = new_numpy_array(data, dims,'d') //Auxiliary function to create numpy arrays from lists or java arrays.
ret = call_jep("cpython", "calc", [array,])
print (ret.getDimensions() + " - " + ret.getData()
)


//Testing pandas
ret = call_jep("cpython", "test_pandas")


//Testing tkinter
ret = call_jep("cpython", "test_tkinter")


//Testing matplotlib
ret = call_jep("cpython", "test_matplotlib", [0.1, 4, 0.4])


//Running a modole
run_jep("cpython")