import numpy, ctypes
import julia
from julia.api import Julia
jl = Julia()
from julia import Main
jl.eval('include("alter_array.jl")')
a = numpy.array([1, 2, 3, 4, 5], 'uint32')
print(a)
addr = a.ctypes.data
length = a.shape[0]
Main.fn(a)
print(a)
Main.fn(addr, length)
print(a)
import time, gc
import numpy
from julia.api import Julia
from julia import Main
jl = Julia(compiled_modules=False)
jl.eval("""
include("return_array.jl")
""")
print('calling into Julia')
res = Main.fn(123)
print('Back in Python')
for v in res:
print(type(v))
print(v)
import numpy
print(numpy.__file__)
print(numpy.__version__)
import julia
print(julia.__file__)
print(julia.__version__)
from julia.api import Julia
print('Initializing Julia (this might take a moment the first time)...')
jl = Julia(compiled_modules=False)
print('Done!')
# Needs to come after the creation of the Julia instance above
from julia import Main
jl.eval('include("return_array.jl")')
res = Main.fn()
print(type(res))
print(res)
print('item 0 =', type(res[0]))
from julia.api import Julia
from julia import Main
jl = Julia(compiled_modules=False)
jl.eval('include("fn.jl")')
import numpy
x = numpy.array([[1, 2, 3], [4, 5, 6]], dtype=np.float32)
print(x)
res = Main.fn(x)
print(x)
include("fn.jl")
import Base.convert
""")
print('allocating')
print(gc.get_stats())
x = numpy.ones(200 * 1024 * 1024, 'float32')
#x = numpy.array([1,2,3,4,5,6], dtype=numpy.float32)
#print(x)
time.sleep(5)
print('calling into Julia')
Main.fn(x)
print('Back in Python')
time.sleep(5)
print('Attempting to clean up')
del x
print(gc.get_stats())
time.sleep(5)
#print(x)
