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#!/usr/bin/python3
r'''generate broadcast-aware python wrapping to testlib
The test suite runs this script to python-wrap the testlib C library, then
the test suite builds this python extension module, and then the test suite
validates this module's behavior
'''
import sys
import os
dir_path = os.path.dirname(os.path.realpath(__file__))
sys.path[:0] = dir_path + '/..',
import numpy as np
import numpysane as nps
import numpysane_pywrap as npsp
docstring_module = r"""Some functions to test the python wrapping
multiline docstring to stress-test this thing
line
line
line
"""
m = npsp.module( name = "testlib",
docstring = docstring_module,
header = '''
#include <stdlib.h>
#include "testlib.h"
''')
m.function( "identity3",
r"""Generates a 3x3 identity matrix
multi-line docstring to make sure it works
""",
args_input = (),
prototype_input = (),
prototype_output = (3,3),
Ccode_slice_eval = \
{np.float64:
r'''
for(int i=0; i<3; i++)
for(int j=0; j<3; j++)
item__output(i,j) = (i==j) ? 1.0 : 0.0;
return true;
'''})
m.function( "identity",
'''Generates an NxN identity matrix. Output matrices must be passed-in to define N''',
args_input = (),
prototype_input = (),
prototype_output = ('N', 'N'),
Ccode_slice_eval = \
{np.float64:
r'''
int N = dims_slice__output[0];
for(int i=0; i<N; i++)
for(int j=0; j<N; j++)
item__output(i,j) = (i==j) ? 1.0 : 0.0;
return true;
'''},)
m.function( "sum_Nrows_Ncols",
'''Nrows + Ncols''',
args_input = ('A',),
prototype_input = (('N', 'M'),),
prototype_output = (),
Ccode_validate = r'''
return CHECK_CONTIGUOUS_AND_SETERROR_ALL();
''',
Ccode_slice_eval = \
{np.float64:
r'''
const int N = dims_slice__A[0];
const int M = dims_slice__A[1];
item__output() = (double)(N+M);
return true;
'''},)
m.function( "inner",
"Inner-product pywrapped with npsp",
args_input = ('a', 'b'),
prototype_input = (('n',), ('n',)),
prototype_output = (),
Ccode_slice_eval = \
{np.float64:
r'''
const int N = dims_slice__a[0];
item__output() =
inner_double((double*)data_slice__a,
(double*)data_slice__b,
strides_slice__a[0],
strides_slice__b[0],
N);
return true;
''',
np.int64:
r'''
const int N = dims_slice__a[0];
item__output() =
inner_int64_t((int64_t*)data_slice__a,
(int64_t*)data_slice__b,
strides_slice__a[0],
strides_slice__b[0],
N);
return true;
''',
np.int32:
r'''
const int N = dims_slice__a[0];
item__output() =
inner_int32_t((int32_t*)data_slice__a,
(int32_t*)data_slice__b,
strides_slice__a[0],
strides_slice__b[0],
N);
return true;
'''})
m.function( "outer",
"Outer-product pywrapped with npsp",
args_input = ('a', 'b'),
prototype_input = (('n',), ('n',)),
prototype_output = ('n', 'n'),
Ccode_slice_eval = \
{np.float64:
r'''
int N = dims_slice__a[0];
outer((double*)data_slice__output,
strides_slice__output[0],
strides_slice__output[1],
(double*)data_slice__a,
(double*)data_slice__b,
strides_slice__a[0],
strides_slice__b[0],
N);
return true;
'''})
m.function( "innerouter",
"Inner and outer products pywrapped with npsp",
args_input = ('a', 'b'),
prototype_input = (('n',), ('n',)),
prototype_output = ((), ('n', 'n')),
Ccode_cookie_struct = '''
double scale; /* from BOTH scale arguments: "scale", "scale_string" */
char* ptr; /* to demo resource allocation/release */
''',
extra_args = (("double", "scale", "1", "d"),
("const char*", "scale_string", "NULL", "s")),
Ccode_validate = r'''
if(! (*scale > 0.0 &&
CHECK_CONTIGUOUS_AND_SETERROR_ALL() ) )
return false;
cookie->scale = *scale * (scale_string ? atof(scale_string) : 1.0);
cookie->ptr = malloc(1000);
return cookie->ptr != NULL;
''',
Ccode_slice_eval = \
{np.float64:
r'''
int N = dims_slice__a[0];
item__output0() =
innerouter((double*)data_slice__output1,
(double*)data_slice__a,
(double*)data_slice__b,
cookie->scale,
N);
return true;
'''},
Ccode_cookie_cleanup = 'if(cookie->ptr != NULL) free(cookie->ptr);'
)
m.function( "sorted_indices",
"Return the sorted element indices",
args_input = ('x',),
prototype_input = (('n',),),
prototype_output = ('n',),
Ccode_slice_eval = \
{(np.float32, np.int32):
r'''
sorted_indices_float((int*)data_slice__output,
(float*)data_slice__x,
dims_slice__x[0]);
return true;
''',
(np.float64, np.int32):
r'''
sorted_indices_double((int*)data_slice__output,
(double*)data_slice__x,
dims_slice__x[0]);
return true;
'''},
Ccode_validate = 'return CHECK_CONTIGUOUS_AND_SETERROR__x();' )
# Tests. Try to wrap functions using illegal output prototypes. The wrapper code
# should barf
try:
m.function( "outer_broken",
"Outer-product pywrapped with npsp",
args_input = ('a', 'b'),
prototype_input = (('n',), ('n',)),
prototype_output = ('n', -1),
Ccode_slice_eval = {np.float64: 'return true;'})
except: pass # known error
else: raise Exception("Expected error didn't happen")
try:
m.function( "outer_broken",
"Outer-product pywrapped with npsp",
args_input = ('a', 'b'),
prototype_input = (('n',), (-1,)),
prototype_output = ('n', 'n'),
Ccode_slice_eval = {np.float64: 'return true;'})
except: pass # known error
else: raise Exception("Expected error didn't happen")
try:
m.function( "outer_broken",
"Outer-product pywrapped with npsp",
args_input = ('a', 'b'),
prototype_input = (('n',), ('n',-1)),
prototype_output = (),
Ccode_slice_eval = {np.float64: 'return true;'})
except: pass # known error
else: raise Exception("Expected error didn't happen: input dims must >=0")
try:
m.function( "outer_broken",
"Outer-product pywrapped with npsp",
args_input = ('a', 'b'),
prototype_input = (('n',), ('n',)),
prototype_output = (-1,),
Ccode_slice_eval = {np.float64: 'return true;'})
except: pass # known error
else: raise Exception("Expected error didn't happen: output dims must >=0")
try:
m.function( "outer_broken",
"Outer-product pywrapped with npsp",
args_input = ('a', 'b'),
prototype_input = (('n',), ('n',)),
prototype_output = ('m', ()),
Ccode_slice_eval = {np.float64: 'return true;'})
except: pass # known error
else: raise Exception("Expected error didn't happen: output dims must be integers or strings")
try:
m.function( "outer_broken",
"Outer-product pywrapped with npsp",
args_input = ('a', 'b'),
prototype_input = (('n',), ('n',)),
prototype_output = 'n',
Ccode_slice_eval = {np.float64: 'return true;'})
except: pass # known error
else: raise Exception("Expected error didn't happen: output dims must be a tuple")
try:
m.function( "outer_broken",
"Outer-product pywrapped with npsp",
args_input = ('a', 'b'),
prototype_input = (('n',), 'n'),
prototype_output = 'n',
Ccode_slice_eval = {np.float64: 'return true;'})
except: pass # known error
else: raise Exception("Expected error didn't happen: output dims must be a tuple")
try:
m.function( "sorted_indices_broken",
"Return the sorted element indices",
args_input = ('x',),
prototype_input = (('n',),),
prototype_output = ('n',),
Ccode_slice_eval = { np.float64: 'return true;' })
except: raise Exception("Valid usage of Ccode_slice_eval keys failed")
try:
m.function( "sorted_indices_broken2",
"Return the sorted element indices",
args_input = ('x',),
prototype_input = (('n',),),
prototype_output = ('n',),
Ccode_slice_eval = { np.float64: 'return true;', np.int32: 'return true;' })
except: raise Exception("Valid usage of Ccode_slice_eval keys failed")
try:
m.function( "sorted_indices_broken3",
"Return the sorted element indices",
args_input = ('x',),
prototype_input = (('n',),),
prototype_output = ('n',),
Ccode_slice_eval = { (np.float64, np.int32): 'return true;', np.int32: 'return true;' })
except: raise Exception("Valid usage of Ccode_slice_eval keys failed")
try:
m.function( "sorted_indices_broken4",
"Return the sorted element indices",
args_input = ('x',),
prototype_input = (('n',),),
prototype_output = ('n',),
Ccode_slice_eval = { (np.float64, np.int32, np.int32): 'return true;', np.int32: 'return true;' })
except: pass # known error
else: raise Exception("Expected invalid usage of Ccode_slice_eval keys didn't fail!")
m.write()
|
