NumPy Using Cython

Numpy using Cython Source code/BoundCheck_Indices_Source code/array5.pyx

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+import array5_boundCheck
+import numpy
+arr = numpy.arange(1000000000, dtype=numpy.int)
+array5_boundCheck.do_calc(arr)

Numpy using Cython Source code/BoundCheck_Indices_Source code/array5_boundCheck.pyx

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+import time
+import numpy
+cimport numpy
+cimport cython
+
+ctypedef numpy.int_t DTYPE_t
+
+@cython.boundscheck(False) # turn of bound cehking for entire function
+@cython.wraparound(False) # turn off negative index wrapping for entire function
+
+def do_calc(numpy.ndarray[DTYPE_t, ndim=1] arr):
+  cdef int maxval
+  cdef unsigned long long int total
+  cdef int k
+  cdef double t1, t2, t
+  cdef int arr_shape = arr.shape[0]
+
+  t1 = time.time()
+
+  for k in range(arr_shape):
+      total = total + arr[k]
+  print "Total = ", total
+
+  t2 = time.time()
+  t =  t2 - t1
+  print("%.10f" % t)

Numpy using Cython Source code/BoundCheck_Indices_Source code/setup.py

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+from distutils.core import setup, Extension
+from Cython.Build import cythonize
+import numpy
+
+setup(
+      ext_modules = cythonize("array5.pyx"),
+      include_dirs=[numpy.get_include()]
+      )

Numpy using Cython Source code/Indexing Source code/array4.pyx

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+import array4_indexing
+import numpy
+arr = numpy.arange(1000000000, dtype=numpy.int)
+array4_indexing.do_calc(arr)

Numpy using Cython Source code/Indexing Source code/array4_indexing.pyx

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+import time
+import numpy
+cimport numpy
+
+ctypedef numpy.int_t DTYPE_t
+
+def do_calc(numpy.ndarray[DTYPE_t, ndim=1] arr):
+    cdef int maxval
+    cdef unsigned long long int total
+    cdef int k
+    cdef double t1, t2, t
+    cdef int arr_shape = arr.shape[0]
+
+    t1=time.time()
+    for k in range(arr_shape):
+        total = total + arr[k]
+    print "Total =", total
+    t2=time.time()
+    t = t2-t1
+    print("%.20f" % t)

Numpy using Cython Source code/Indexing Source code/setup.py

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+from distutils.core import setup, Extension
+from Cython.Build import cythonize
+import numpy
+
+setup(
+      ext_modules = cythonize("array4.pyx"),
+      include_dirs=[numpy.get_include()]
+      )

Numpy using Cython Source code/NumPy with cython Source code/numAddCDType.pyx

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+import time
+import numpy
+cimport numpy
+
+cdef unsigned long long int maxval
+cdef unsigned long long int total
+cdef int k
+cdef double t1, t2, t
+cdef numpy.ndarray arr
+
+maxval = 1000000000
+arr = numpy.arange(maxval)
+
+t1 = time.time()
+
+for k in arr:
+    total = total + k
+print "Total =", total
+
+t2 = time.time()
+t = t2 - t1
+print("%.20f" % t)

Numpy using Cython Source code/NumPy with cython Source code/setup.py

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+from distutils.core import setup, Extension
+from Cython.Build import cythonize
+import numpy
+
+setup(
+      ext_modules = cythonize("numAddCDType.pyx"),
+      include_dirs=[numpy.get_include()]
+      )

Numpy using Cython Source code/PythonNumpy Source code/numAddition.py

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+import time
+import numpy
+
+total = 0
+num1 = 1000000000
+arr = numpy.arange(num1, dtype=numpy.int64)
+
+t1 = time.time()
+
+for k in arr:
+    total = total + k
+print("Total = ", total)
+
+t2 = time.time()
+t = t2 - t1
+print("%.20f" % t)