fix strides calc

examples/numpyarrays/examply.nims

@@ -5,3 +5,4 @@
 --define:openmp
 --define:danger
 --app:lib
+--define:useMalloc

examples/numpyarrays/examply.py

@@ -18,7 +18,7 @@ def fLoop(ar):
 def main():
     print("Python => main()")
     MAX_X = int(3*1e3)
-    MAX_Y = int(3*1e3)
+    MAX_Y = int(4*1e4)
     MAX_LEN = int(MAX_X*MAX_Y)
     print("CPU COUNT=",  multiprocessing.cpu_count())
     print("MAX_X=", MAX_X)
@@ -31,7 +31,7 @@ def main():
     print(ar)
 
     print("1)")
-    timePythonLoop = False
+    timePythonLoop = True
     # Toggle - CAREFUL it takes a long time since Python is slow
     if timePythonLoop:
         start = timer()

scinim/numpyarrays.nim

@@ -136,8 +136,8 @@ proc initNumpyArray*[T](ar: sink PyObject): NumpyArray[T] =
   result.pyBuf = newSharedPtr(PyBuffer())
   let
     f = sizeof(T) div sizeof(byte)
-
-  result.strides = nimpy.getAttr(ar, "strides".cstring).to(seq[int]).map(x => (x div f))
+  # result.strides = nimpy.getAttr(ar, "strides".cstring).to(seq[int]).map(x => (x div f))
+  result.strides = ar.data.strides.to(seq[int]).map(x => (x div f))
   ar.getBuffer(result.pyBuf.raw, PyBUF_WRITABLE or PyBUF_ND)
   let shapear = cast[ptr UncheckedArray[Py_ssize_t]](result.pyBuf.raw.shape)
   for i in 0 ..< result.pyBuf.raw.ndim:

tests/config.nims

@@ -1,3 +1,4 @@
 switch("path", "$projectDir/../src")
 switch("threads", "on")
 switch("define", "openmp")
+switch("define", "useMalloc")