Commit a04c0f4e authored by Mark's avatar Mark

Merge pull request #76 from markflorisson88/arrayinstruct

Buffer format arrays, strings and alignment on first member
parents a8d81e52 e52e8771
...@@ -649,7 +649,6 @@ class GetAndReleaseBufferUtilityCode(object): ...@@ -649,7 +649,6 @@ class GetAndReleaseBufferUtilityCode(object):
""")) """))
def mangle_dtype_name(dtype): def mangle_dtype_name(dtype):
# Use prefixes to seperate user defined types from builtins # Use prefixes to seperate user defined types from builtins
# (consider "typedef float unsigned_int") # (consider "typedef float unsigned_int")
...@@ -662,16 +661,20 @@ def mangle_dtype_name(dtype): ...@@ -662,16 +661,20 @@ def mangle_dtype_name(dtype):
prefix = "nn_" prefix = "nn_"
else: else:
prefix = "" prefix = ""
return prefix + dtype.declaration_code("").replace(" ", "_") type_decl = dtype.declaration_code("")
type_decl = type_decl.replace(" ", "_")
return prefix + type_decl.replace("[", "_").replace("]", "_")
def get_type_information_cname(code, dtype, maxdepth=None): def get_type_information_cname(code, dtype, maxdepth=None):
# Output the run-time type information (__Pyx_TypeInfo) for given dtype, """
# and return the name of the type info struct. Output the run-time type information (__Pyx_TypeInfo) for given dtype,
# and return the name of the type info struct.
# Structs with two floats of the same size are encoded as complex numbers.
# One can seperate between complex numbers declared as struct or with native Structs with two floats of the same size are encoded as complex numbers.
# encoding by inspecting to see if the fields field of the type is One can seperate between complex numbers declared as struct or with native
# filled in. encoding by inspecting to see if the fields field of the type is
filled in.
"""
namesuffix = mangle_dtype_name(dtype) namesuffix = mangle_dtype_name(dtype)
name = "__Pyx_TypeInfo_%s" % namesuffix name = "__Pyx_TypeInfo_%s" % namesuffix
structinfo_name = "__Pyx_StructFields_%s" % namesuffix structinfo_name = "__Pyx_StructFields_%s" % namesuffix
...@@ -688,6 +691,12 @@ def get_type_information_cname(code, dtype, maxdepth=None): ...@@ -688,6 +691,12 @@ def get_type_information_cname(code, dtype, maxdepth=None):
code.globalstate.utility_codes.add(name) code.globalstate.utility_codes.add(name)
typecode = code.globalstate['typeinfo'] typecode = code.globalstate['typeinfo']
arraysizes = []
if dtype.is_array:
while dtype.is_array:
arraysizes.append(dtype.size)
dtype = dtype.base_type
complex_possible = dtype.is_struct_or_union and dtype.can_be_complex() complex_possible = dtype.is_struct_or_union and dtype.can_be_complex()
declcode = dtype.declaration_code("") declcode = dtype.declaration_code("")
...@@ -729,7 +738,6 @@ def get_type_information_cname(code, dtype, maxdepth=None): ...@@ -729,7 +738,6 @@ def get_type_information_cname(code, dtype, maxdepth=None):
elif dtype.is_pyobject: elif dtype.is_pyobject:
typegroup = 'O' typegroup = 'O'
else: else:
print dtype
assert False assert False
if dtype.is_int: if dtype.is_int:
...@@ -737,15 +745,13 @@ def get_type_information_cname(code, dtype, maxdepth=None): ...@@ -737,15 +745,13 @@ def get_type_information_cname(code, dtype, maxdepth=None):
else: else:
is_unsigned = "0" is_unsigned = "0"
typecode.putln(('static __Pyx_TypeInfo %s = { "%s", %s, sizeof(%s), \'%s\', %s, %s };' typeinfo = ('static __Pyx_TypeInfo %s = '
) % (name, '{ "%s", %s, sizeof(%s), { %s }, %s, \'%s\', %s, %s };')
rep, tup = (name, rep, structinfo_name, declcode,
structinfo_name, ', '.join([str(x) for x in arraysizes]), len(arraysizes),
declcode, typegroup, is_unsigned, flags)
typegroup, typecode.putln(typeinfo % tup, safe=True)
is_unsigned,
flags,
), safe=True)
return name return name
def load_buffer_utility(util_code_name, context=None, **kwargs): def load_buffer_utility(util_code_name, context=None, **kwargs):
......
...@@ -2548,6 +2548,7 @@ class IndexNode(ExprNode): ...@@ -2548,6 +2548,7 @@ class IndexNode(ExprNode):
warning(index.pos, "Index should be typed for more " warning(index.pos, "Index should be typed for more "
"efficient access", level=2) "efficient access", level=2)
IndexNode.warned_untyped_idx = True IndexNode.warned_untyped_idx = True
self.memslice_index = True self.memslice_index = True
index = index.coerce_to(index_type, env) index = index.coerce_to(index_type, env)
indices[i] = index indices[i] = index
...@@ -6935,8 +6936,9 @@ class CythonArrayNode(ExprNode): ...@@ -6935,8 +6936,9 @@ class CythonArrayNode(ExprNode):
"n" * len(shapes), "n" * len(shapes),
", ".join(shapes))) ", ".join(shapes)))
err = "!%s || !%s || !PyBytes_Check(%s)" % (format_temp, shapes_temp, err = "!%s || !%s || !PyBytes_AsString(%s)" % (format_temp,
format_temp) shapes_temp,
format_temp)
code.putln(code.error_goto_if(err, self.pos)) code.putln(code.error_goto_if(err, self.pos))
code.put_gotref(format_temp) code.put_gotref(format_temp)
code.put_gotref(shapes_temp) code.put_gotref(shapes_temp)
......
...@@ -157,7 +157,7 @@ def src_conforms_to_dst(src, dst): ...@@ -157,7 +157,7 @@ def src_conforms_to_dst(src, dst):
return True return True
def valid_memslice_dtype(dtype): def valid_memslice_dtype(dtype, i=0):
""" """
Return whether type dtype can be used as the base type of a Return whether type dtype can be used as the base type of a
memoryview slice. memoryview slice.
...@@ -178,6 +178,8 @@ def valid_memslice_dtype(dtype): ...@@ -178,6 +178,8 @@ def valid_memslice_dtype(dtype):
dtype.is_error or dtype.is_error or
# Pointers are not valid (yet) # Pointers are not valid (yet)
# (dtype.is_ptr and valid_memslice_dtype(dtype.base_type)) or # (dtype.is_ptr and valid_memslice_dtype(dtype.base_type)) or
(dtype.is_array and i < 8 and
valid_memslice_dtype(dtype.base_type, i + 1)) or
dtype.is_numeric or dtype.is_numeric or
dtype.is_pyobject or dtype.is_pyobject or
dtype.is_fused or # accept this as it will be replaced by specializations later dtype.is_fused or # accept this as it will be replaced by specializations later
......
This diff is collapsed.
...@@ -394,7 +394,6 @@ cdef class memoryview(object): ...@@ -394,7 +394,6 @@ cdef class memoryview(object):
info.readonly = 0 info.readonly = 0
info.obj = self info.obj = self
# Some properties that have the same sematics as in NumPy # Some properties that have the same sematics as in NumPy
property T: property T:
@cname('__pyx_memoryview_transpose') @cname('__pyx_memoryview_transpose')
...@@ -920,6 +919,8 @@ cdef extern from *: ...@@ -920,6 +919,8 @@ cdef extern from *:
char* name char* name
__Pyx_StructField* fields __Pyx_StructField* fields
size_t size size_t size
size_t arraysize[8]
int ndim
char typegroup char typegroup
char is_unsigned char is_unsigned
int flags int flags
...@@ -945,6 +946,11 @@ cdef extern from *: ...@@ -945,6 +946,11 @@ cdef extern from *:
@cname('__pyx_format_from_typeinfo') @cname('__pyx_format_from_typeinfo')
cdef format_from_typeinfo(__Pyx_TypeInfo *type): cdef format_from_typeinfo(__Pyx_TypeInfo *type):
"""
We want to return bytes, but python 3 doesn't allow you to do anything
useful with bytes. So use str and convert back and forth to/from unicode.
Thank you python 3 for making bytes the most useless thing ever!
"""
cdef __Pyx_StructField *field cdef __Pyx_StructField *field
cdef __pyx_typeinfo_string fmt cdef __pyx_typeinfo_string fmt
...@@ -960,12 +966,16 @@ cdef format_from_typeinfo(__Pyx_TypeInfo *type): ...@@ -960,12 +966,16 @@ cdef format_from_typeinfo(__Pyx_TypeInfo *type):
field = type.fields field = type.fields
while field.type: while field.type:
parts.append(format_from_typeinfo(field.type)) parts.append(format_from_typeinfo(field.type).decode('ascii'))
field += 1 field += 1
result = alignment.join(parts) + '}' result = alignment.join(parts) + '}'
else: else:
fmt = __Pyx_TypeInfoToFormat(type) fmt = __Pyx_TypeInfoToFormat(type)
result = fmt.string if type.arraysize[0]:
extents = [str(type.arraysize[i]) for i in range(type.ndim)]
result = "(%s)%s" % (','.join(extents), fmt.string.decode('ascii'))
else:
result = fmt.string.decode('ascii')
return result return result.encode('ascii')
...@@ -46,6 +46,14 @@ cdef intp[:, :] myarray ...@@ -46,6 +46,14 @@ cdef intp[:, :] myarray
cdef int[:] a10 = <int[:10]> object() cdef int[:] a10 = <int[:10]> object()
cdef int[:] a11 = <int[:5.4]> <int *> 1 cdef int[:] a11 = <int[:5.4]> <int *> 1
cdef struct Valid:
int array[1][2][3][4][5][6][7][8]
cdef struct Invalid:
int array[1][2][3][4][5][6][7][8][9]
cdef Valid[:] validslice
cdef Invalid[:] invalidslice
# These are VALID # These are VALID
cdef int[::view.indirect_contiguous, ::view.contiguous] a9 cdef int[::view.indirect_contiguous, ::view.contiguous] a9
...@@ -70,4 +78,5 @@ _ERRORS = u''' ...@@ -70,4 +78,5 @@ _ERRORS = u'''
44:10: Invalid base type for memoryview slice: intp 44:10: Invalid base type for memoryview slice: intp
46:35: Can only create cython.array from pointer or array 46:35: Can only create cython.array from pointer or array
47:24: Cannot assign type 'double' to 'Py_ssize_t' 47:24: Cannot assign type 'double' to 'Py_ssize_t'
55:13: Invalid base type for memoryview slice: Invalid
''' '''
...@@ -1456,6 +1456,151 @@ def test_memslice_prange(arg): ...@@ -1456,6 +1456,151 @@ def test_memslice_prange(arg):
for k in range(src.shape[2]): for k in range(src.shape[2]):
assert src[i, j, k] == dst[i, j, k], (src[i, j, k] == dst[i, j, k]) assert src[i, j, k] == dst[i, j, k], (src[i, j, k] == dst[i, j, k])
# Test arrays in structs
cdef struct ArrayStruct:
int ints[10]
char chars[3]
cdef packed struct PackedArrayStruct:
int ints[10]
char chars[3]
cdef fused FusedStruct:
ArrayStruct
PackedArrayStruct
@testcase
def test_memslice_struct_with_arrays():
"""
>>> test_memslice_struct_with_arrays()
abc
abc
"""
cdef ArrayStruct a1[10]
cdef PackedArrayStruct a2[10]
test_structs_with_arr(a1)
test_structs_with_arr(a2)
cdef test_structs_with_arr(FusedStruct array[10]):
cdef FusedStruct[:] myslice1, myslice2, myslice3, myslice4
cdef int i, j
myslice1 = <FusedStruct[:10]> array
for i in range(10):
for j in range(10):
myslice1[i].ints[j] = i
for j in range(3):
myslice1[i].chars[j] = 97 + j
if sys.version_info[:2] >= (2, 7):
if sys.version_info[0] < 3:
import __builtin__ as builtins
else:
import builtins
size1 = sizeof(FusedStruct)
size2 = len(builtins.memoryview(myslice1)[0])
assert size1 == size2, (size1, size2, builtins.memoryview(myslice1).format)
myslice2 = builtins.memoryview(myslice1)
for i in range(10):
assert myslice2[i].ints[i] == myslice1[i].ints[i]
assert myslice2[i].chars[i] == myslice1[i].chars[i]
myslice3 = <object> myslice1
myslice4 = myslice1
for i in range(10):
for j in range(10):
assert myslice3[i].ints[j] == myslice4[i].ints[j] == myslice1[i].ints[j]
for j in range(3):
assert myslice3[i].chars[j] == myslice4[i].chars[j] == myslice1[i].chars[j]
print myslice1[0].chars[:3].decode('ascii')
# Test padding at the end of structs in the buffer support
cdef struct PaddedAtEnd:
int a[3]
char b[3]
cdef struct AlignedNested:
PaddedAtEnd a
char chars[1]
cdef struct PaddedAtEndNormal:
int a
char b
char c
char d
cdef struct AlignedNestedNormal:
PaddedAtEndNormal a
char chars
# Test nested structs in a struct, make sure we compute padding each time
# accordingly. If the first struct member is a struct, align on the first
# member of that struct (recursively)
cdef struct A:
double d
char c
cdef struct B:
char c1
A a
char c2
cdef struct C:
A a
char c1
cdef struct D:
B b
C cstruct
int a[2]
char c
cdef fused FusedPadded:
ArrayStruct
PackedArrayStruct
AlignedNested
AlignedNestedNormal
A
B
C
D
@testcase
def test_padded_structs():
"""
>>> test_padded_structs()
"""
cdef ArrayStruct a1[10]
cdef PackedArrayStruct a2[10]
cdef AlignedNested a3[10]
cdef AlignedNestedNormal a4[10]
cdef A a5[10]
cdef B a6[10]
cdef C a7[10]
cdef D a8[10]
_test_padded(a1)
_test_padded(a2)
_test_padded(a3)
_test_padded(a4)
_test_padded(a5)
_test_padded(a6)
_test_padded(a7)
# There is a pre-existing bug that doesn't parse the format for this
# struct properly -- fix this
#_test_padded(a8)
cdef _test_padded(FusedPadded myarray[10]):
# test that the buffer format parser accepts our format string...
cdef FusedPadded[:] myslice = <FusedPadded[:10]> myarray
obj = myslice
cdef FusedPadded[:] myotherslice = obj
@testcase @testcase
def test_object_indices(): def test_object_indices():
""" """
......
...@@ -391,3 +391,120 @@ def acquire_release_cycle(obj): ...@@ -391,3 +391,120 @@ def acquire_release_cycle(obj):
del buf del buf
gc.collect() gc.collect()
cdef packed struct StructArray:
int a[4]
char b[5]
@testcase_numpy_1_5
def test_memslice_structarray(data, dtype):
"""
>>> data = [(range(4), 'spam\\0'), (range(4, 8), 'ham\\0\\0'), (range(8, 12), 'eggs\\0')]
>>> dtype = np.dtype([('a', '4i'), ('b', '5b')])
>>> test_memslice_structarray([(L, map(ord, s)) for L, s in data], dtype)
0
1
2
3
spam
4
5
6
7
ham
8
9
10
11
eggs
Test the same thing with the string format specifier
>>> dtype = np.dtype([('a', '4i'), ('b', 'S5')])
>>> test_memslice_structarray(data, dtype)
0
1
2
3
spam
4
5
6
7
ham
8
9
10
11
eggs
"""
a = np.empty((3,), dtype=dtype)
a[:] = data
cdef StructArray[:] myslice = a
cdef int i, j
for i in range(3):
for j in range(4):
print myslice[i].a[j]
print myslice[i].b
@testcase_numpy_1_5
def test_structarray_errors(StructArray[:] a):
"""
>>> dtype = np.dtype([('a', '4i'), ('b', '5b')])
>>> test_structarray_errors(np.empty((5,), dtype=dtype))
>>> dtype = np.dtype([('a', '6i'), ('b', '5b')])
>>> test_structarray_errors(np.empty((5,), dtype=dtype))
Traceback (most recent call last):
...
ValueError: Expected a dimension of size 4, got 6
>>> dtype = np.dtype([('a', '(4,4)i'), ('b', '5b')])
>>> test_structarray_errors(np.empty((5,), dtype=dtype))
Traceback (most recent call last):
...
ValueError: Expected 1 dimension(s), got 2
Test the same thing with the string format specifier
>>> dtype = np.dtype([('a', '4i'), ('b', 'S5')])
>>> test_structarray_errors(np.empty((5,), dtype=dtype))
>>> dtype = np.dtype([('a', '6i'), ('b', 'S5')])
>>> test_structarray_errors(np.empty((5,), dtype=dtype))
Traceback (most recent call last):
...
ValueError: Expected a dimension of size 4, got 6
>>> dtype = np.dtype([('a', '(4,4)i'), ('b', 'S5')])
>>> test_structarray_errors(np.empty((5,), dtype=dtype))
Traceback (most recent call last):
...
ValueError: Expected 1 dimension(s), got 2
"""
cdef struct StringStruct:
char c[4][4]
ctypedef char String[4][4]
def stringstructtest(StringStruct[:] view):
pass
def stringtest(String[:] view):
pass
@testcase_numpy_1_5
def test_string_invalid_dims():
"""
>>> dtype = np.dtype([('a', 'S4')])
>>> data = ['spam', 'eggs']
>>> stringstructtest(np.array(data, dtype=dtype))
Traceback (most recent call last):
...
ValueError: Expected 2 dimensions, got 1
>>> stringtest(np.array(data, dtype='S4'))
Traceback (most recent call last):
...
ValueError: Expected 2 dimensions, got 1
"""
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