858 lines
29 KiB
Python
858 lines
29 KiB
Python
from __future__ import absolute_import
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from .Errors import CompileError, error
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from . import ExprNodes
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from .ExprNodes import IntNode, NameNode, AttributeNode
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from . import Options
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from .Code import UtilityCode, TempitaUtilityCode
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from .UtilityCode import CythonUtilityCode
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from . import Buffer
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from . import PyrexTypes
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from . import ModuleNode
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START_ERR = "Start must not be given."
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STOP_ERR = "Axis specification only allowed in the 'step' slot."
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STEP_ERR = "Step must be omitted, 1, or a valid specifier."
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BOTH_CF_ERR = "Cannot specify an array that is both C and Fortran contiguous."
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INVALID_ERR = "Invalid axis specification."
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NOT_CIMPORTED_ERR = "Variable was not cimported from cython.view"
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EXPR_ERR = "no expressions allowed in axis spec, only names and literals."
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CF_ERR = "Invalid axis specification for a C/Fortran contiguous array."
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ERR_UNINITIALIZED = ("Cannot check if memoryview %s is initialized without the "
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"GIL, consider using initializedcheck(False)")
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def concat_flags(*flags):
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return "(%s)" % "|".join(flags)
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format_flag = "PyBUF_FORMAT"
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memview_c_contiguous = "(PyBUF_C_CONTIGUOUS | PyBUF_FORMAT)"
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memview_f_contiguous = "(PyBUF_F_CONTIGUOUS | PyBUF_FORMAT)"
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memview_any_contiguous = "(PyBUF_ANY_CONTIGUOUS | PyBUF_FORMAT)"
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memview_full_access = "PyBUF_FULL_RO"
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#memview_strided_access = "PyBUF_STRIDED_RO"
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memview_strided_access = "PyBUF_RECORDS_RO"
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MEMVIEW_DIRECT = '__Pyx_MEMVIEW_DIRECT'
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MEMVIEW_PTR = '__Pyx_MEMVIEW_PTR'
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MEMVIEW_FULL = '__Pyx_MEMVIEW_FULL'
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MEMVIEW_CONTIG = '__Pyx_MEMVIEW_CONTIG'
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MEMVIEW_STRIDED= '__Pyx_MEMVIEW_STRIDED'
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MEMVIEW_FOLLOW = '__Pyx_MEMVIEW_FOLLOW'
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_spec_to_const = {
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'direct' : MEMVIEW_DIRECT,
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'ptr' : MEMVIEW_PTR,
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'full' : MEMVIEW_FULL,
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'contig' : MEMVIEW_CONTIG,
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'strided': MEMVIEW_STRIDED,
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'follow' : MEMVIEW_FOLLOW,
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}
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_spec_to_abbrev = {
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'direct' : 'd',
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'ptr' : 'p',
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'full' : 'f',
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'contig' : 'c',
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'strided' : 's',
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'follow' : '_',
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}
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memslice_entry_init = "{ 0, 0, { 0 }, { 0 }, { 0 } }"
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memview_name = u'memoryview'
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memview_typeptr_cname = '__pyx_memoryview_type'
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memview_objstruct_cname = '__pyx_memoryview_obj'
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memviewslice_cname = u'__Pyx_memviewslice'
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def put_init_entry(mv_cname, code):
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code.putln("%s.data = NULL;" % mv_cname)
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code.putln("%s.memview = NULL;" % mv_cname)
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#def axes_to_str(axes):
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# return "".join([access[0].upper()+packing[0] for (access, packing) in axes])
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def put_acquire_memoryviewslice(lhs_cname, lhs_type, lhs_pos, rhs, code,
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have_gil=False, first_assignment=True):
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"We can avoid decreffing the lhs if we know it is the first assignment"
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assert rhs.type.is_memoryviewslice
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pretty_rhs = rhs.result_in_temp() or rhs.is_simple()
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if pretty_rhs:
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rhstmp = rhs.result()
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else:
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rhstmp = code.funcstate.allocate_temp(lhs_type, manage_ref=False)
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code.putln("%s = %s;" % (rhstmp, rhs.result_as(lhs_type)))
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# Allow uninitialized assignment
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#code.putln(code.put_error_if_unbound(lhs_pos, rhs.entry))
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put_assign_to_memviewslice(lhs_cname, rhs, rhstmp, lhs_type, code,
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have_gil=have_gil, first_assignment=first_assignment)
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if not pretty_rhs:
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code.funcstate.release_temp(rhstmp)
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def put_assign_to_memviewslice(lhs_cname, rhs, rhs_cname, memviewslicetype, code,
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have_gil=False, first_assignment=False):
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if not first_assignment:
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code.put_xdecref_memoryviewslice(lhs_cname, have_gil=have_gil)
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if not rhs.result_in_temp():
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rhs.make_owned_memoryviewslice(code)
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code.putln("%s = %s;" % (lhs_cname, rhs_cname))
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def get_buf_flags(specs):
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is_c_contig, is_f_contig = is_cf_contig(specs)
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if is_c_contig:
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return memview_c_contiguous
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elif is_f_contig:
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return memview_f_contiguous
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access, packing = zip(*specs)
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if 'full' in access or 'ptr' in access:
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return memview_full_access
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else:
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return memview_strided_access
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def insert_newaxes(memoryviewtype, n):
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axes = [('direct', 'strided')] * n
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axes.extend(memoryviewtype.axes)
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return PyrexTypes.MemoryViewSliceType(memoryviewtype.dtype, axes)
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def broadcast_types(src, dst):
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n = abs(src.ndim - dst.ndim)
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if src.ndim < dst.ndim:
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return insert_newaxes(src, n), dst
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else:
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return src, insert_newaxes(dst, n)
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def valid_memslice_dtype(dtype, i=0):
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"""
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Return whether type dtype can be used as the base type of a
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memoryview slice.
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We support structs, numeric types and objects
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"""
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if dtype.is_complex and dtype.real_type.is_int:
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return False
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if dtype is PyrexTypes.c_bint_type:
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return False
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if dtype.is_struct and dtype.kind == 'struct':
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for member in dtype.scope.var_entries:
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if not valid_memslice_dtype(member.type):
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return False
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return True
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return (
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dtype.is_error or
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# Pointers are not valid (yet)
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# (dtype.is_ptr and valid_memslice_dtype(dtype.base_type)) or
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(dtype.is_array and i < 8 and
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valid_memslice_dtype(dtype.base_type, i + 1)) or
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dtype.is_numeric or
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dtype.is_pyobject or
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dtype.is_fused or # accept this as it will be replaced by specializations later
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(dtype.is_typedef and valid_memslice_dtype(dtype.typedef_base_type))
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)
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class MemoryViewSliceBufferEntry(Buffer.BufferEntry):
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"""
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May be used during code generation time to be queried for
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shape/strides/suboffsets attributes, or to perform indexing or slicing.
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"""
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def __init__(self, entry):
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self.entry = entry
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self.type = entry.type
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self.cname = entry.cname
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self.buf_ptr = "%s.data" % self.cname
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dtype = self.entry.type.dtype
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self.buf_ptr_type = PyrexTypes.CPtrType(dtype)
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self.init_attributes()
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def get_buf_suboffsetvars(self):
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return self._for_all_ndim("%s.suboffsets[%d]")
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def get_buf_stridevars(self):
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return self._for_all_ndim("%s.strides[%d]")
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def get_buf_shapevars(self):
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return self._for_all_ndim("%s.shape[%d]")
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def generate_buffer_lookup_code(self, code, index_cnames):
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axes = [(dim, index_cnames[dim], access, packing)
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for dim, (access, packing) in enumerate(self.type.axes)]
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return self._generate_buffer_lookup_code(code, axes)
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def _generate_buffer_lookup_code(self, code, axes, cast_result=True):
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"""
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Generate a single expression that indexes the memory view slice
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in each dimension.
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"""
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bufp = self.buf_ptr
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type_decl = self.type.dtype.empty_declaration_code()
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for dim, index, access, packing in axes:
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shape = "%s.shape[%d]" % (self.cname, dim)
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stride = "%s.strides[%d]" % (self.cname, dim)
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suboffset = "%s.suboffsets[%d]" % (self.cname, dim)
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flag = get_memoryview_flag(access, packing)
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if flag in ("generic", "generic_contiguous"):
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# Note: we cannot do cast tricks to avoid stride multiplication
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# for generic_contiguous, as we may have to do (dtype *)
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# or (dtype **) arithmetic, we won't know which unless
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# we check suboffsets
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code.globalstate.use_utility_code(memviewslice_index_helpers)
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bufp = ('__pyx_memviewslice_index_full(%s, %s, %s, %s)' %
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(bufp, index, stride, suboffset))
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elif flag == "indirect":
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bufp = "(%s + %s * %s)" % (bufp, index, stride)
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bufp = ("(*((char **) %s) + %s)" % (bufp, suboffset))
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elif flag == "indirect_contiguous":
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# Note: we do char ** arithmetic
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bufp = "(*((char **) %s + %s) + %s)" % (bufp, index, suboffset)
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elif flag == "strided":
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bufp = "(%s + %s * %s)" % (bufp, index, stride)
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else:
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assert flag == 'contiguous', flag
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bufp = '((char *) (((%s *) %s) + %s))' % (type_decl, bufp, index)
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bufp = '( /* dim=%d */ %s )' % (dim, bufp)
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if cast_result:
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return "((%s *) %s)" % (type_decl, bufp)
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return bufp
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def generate_buffer_slice_code(self, code, indices, dst, have_gil,
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have_slices, directives):
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"""
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Slice a memoryviewslice.
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indices - list of index nodes. If not a SliceNode, or NoneNode,
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then it must be coercible to Py_ssize_t
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Simply call __pyx_memoryview_slice_memviewslice with the right
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arguments, unless the dimension is omitted or a bare ':', in which
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case we copy over the shape/strides/suboffsets attributes directly
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for that dimension.
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"""
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src = self.cname
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code.putln("%(dst)s.data = %(src)s.data;" % locals())
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code.putln("%(dst)s.memview = %(src)s.memview;" % locals())
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code.put_incref_memoryviewslice(dst)
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all_dimensions_direct = all(access == 'direct' for access, packing in self.type.axes)
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suboffset_dim_temp = []
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def get_suboffset_dim():
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# create global temp variable at request
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if not suboffset_dim_temp:
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suboffset_dim = code.funcstate.allocate_temp(PyrexTypes.c_int_type, manage_ref=False)
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code.putln("%s = -1;" % suboffset_dim)
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suboffset_dim_temp.append(suboffset_dim)
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return suboffset_dim_temp[0]
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dim = -1
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new_ndim = 0
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for index in indices:
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if index.is_none:
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# newaxis
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for attrib, value in [('shape', 1), ('strides', 0), ('suboffsets', -1)]:
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code.putln("%s.%s[%d] = %d;" % (dst, attrib, new_ndim, value))
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new_ndim += 1
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continue
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dim += 1
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access, packing = self.type.axes[dim]
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if isinstance(index, ExprNodes.SliceNode):
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# slice, unspecified dimension, or part of ellipsis
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d = dict(locals())
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for s in "start stop step".split():
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idx = getattr(index, s)
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have_idx = d['have_' + s] = not idx.is_none
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d[s] = idx.result() if have_idx else "0"
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if not (d['have_start'] or d['have_stop'] or d['have_step']):
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# full slice (:), simply copy over the extent, stride
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# and suboffset. Also update suboffset_dim if needed
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d['access'] = access
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util_name = "SimpleSlice"
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else:
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util_name = "ToughSlice"
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d['error_goto'] = code.error_goto(index.pos)
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new_ndim += 1
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else:
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# normal index
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idx = index.result()
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indirect = access != 'direct'
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if indirect:
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generic = access == 'full'
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if new_ndim != 0:
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return error(index.pos,
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"All preceding dimensions must be "
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"indexed and not sliced")
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d = dict(
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locals(),
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wraparound=int(directives['wraparound']),
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boundscheck=int(directives['boundscheck']),
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)
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if d['boundscheck']:
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d['error_goto'] = code.error_goto(index.pos)
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util_name = "SliceIndex"
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_, impl = TempitaUtilityCode.load_as_string(util_name, "MemoryView_C.c", context=d)
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code.put(impl)
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if suboffset_dim_temp:
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code.funcstate.release_temp(suboffset_dim_temp[0])
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def empty_slice(pos):
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none = ExprNodes.NoneNode(pos)
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return ExprNodes.SliceNode(pos, start=none,
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stop=none, step=none)
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def unellipsify(indices, ndim):
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result = []
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seen_ellipsis = False
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have_slices = False
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newaxes = [newaxis for newaxis in indices if newaxis.is_none]
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n_indices = len(indices) - len(newaxes)
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for index in indices:
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if isinstance(index, ExprNodes.EllipsisNode):
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have_slices = True
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full_slice = empty_slice(index.pos)
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if seen_ellipsis:
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result.append(full_slice)
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else:
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nslices = ndim - n_indices + 1
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result.extend([full_slice] * nslices)
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seen_ellipsis = True
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else:
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have_slices = have_slices or index.is_slice or index.is_none
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result.append(index)
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result_length = len(result) - len(newaxes)
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if result_length < ndim:
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have_slices = True
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nslices = ndim - result_length
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result.extend([empty_slice(indices[-1].pos)] * nslices)
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return have_slices, result, newaxes
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def get_memoryview_flag(access, packing):
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if access == 'full' and packing in ('strided', 'follow'):
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return 'generic'
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elif access == 'full' and packing == 'contig':
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return 'generic_contiguous'
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elif access == 'ptr' and packing in ('strided', 'follow'):
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return 'indirect'
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elif access == 'ptr' and packing == 'contig':
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return 'indirect_contiguous'
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elif access == 'direct' and packing in ('strided', 'follow'):
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return 'strided'
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else:
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assert (access, packing) == ('direct', 'contig'), (access, packing)
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return 'contiguous'
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def get_is_contig_func_name(contig_type, ndim):
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assert contig_type in ('C', 'F')
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return "__pyx_memviewslice_is_contig_%s%d" % (contig_type, ndim)
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def get_is_contig_utility(contig_type, ndim):
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assert contig_type in ('C', 'F')
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C = dict(context, ndim=ndim, contig_type=contig_type)
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utility = load_memview_c_utility("MemviewSliceCheckContig", C, requires=[is_contig_utility])
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return utility
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def slice_iter(slice_type, slice_result, ndim, code):
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if slice_type.is_c_contig or slice_type.is_f_contig:
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return ContigSliceIter(slice_type, slice_result, ndim, code)
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else:
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return StridedSliceIter(slice_type, slice_result, ndim, code)
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class SliceIter(object):
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def __init__(self, slice_type, slice_result, ndim, code):
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self.slice_type = slice_type
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self.slice_result = slice_result
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self.code = code
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self.ndim = ndim
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class ContigSliceIter(SliceIter):
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def start_loops(self):
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code = self.code
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code.begin_block()
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type_decl = self.slice_type.dtype.empty_declaration_code()
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total_size = ' * '.join("%s.shape[%d]" % (self.slice_result, i)
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for i in range(self.ndim))
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code.putln("Py_ssize_t __pyx_temp_extent = %s;" % total_size)
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code.putln("Py_ssize_t __pyx_temp_idx;")
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code.putln("%s *__pyx_temp_pointer = (%s *) %s.data;" % (
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type_decl, type_decl, self.slice_result))
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code.putln("for (__pyx_temp_idx = 0; "
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"__pyx_temp_idx < __pyx_temp_extent; "
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"__pyx_temp_idx++) {")
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return "__pyx_temp_pointer"
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def end_loops(self):
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self.code.putln("__pyx_temp_pointer += 1;")
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self.code.putln("}")
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self.code.end_block()
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class StridedSliceIter(SliceIter):
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def start_loops(self):
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code = self.code
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code.begin_block()
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for i in range(self.ndim):
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t = i, self.slice_result, i
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code.putln("Py_ssize_t __pyx_temp_extent_%d = %s.shape[%d];" % t)
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code.putln("Py_ssize_t __pyx_temp_stride_%d = %s.strides[%d];" % t)
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code.putln("char *__pyx_temp_pointer_%d;" % i)
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code.putln("Py_ssize_t __pyx_temp_idx_%d;" % i)
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code.putln("__pyx_temp_pointer_0 = %s.data;" % self.slice_result)
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for i in range(self.ndim):
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if i > 0:
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code.putln("__pyx_temp_pointer_%d = __pyx_temp_pointer_%d;" % (i, i - 1))
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code.putln("for (__pyx_temp_idx_%d = 0; "
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"__pyx_temp_idx_%d < __pyx_temp_extent_%d; "
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"__pyx_temp_idx_%d++) {" % (i, i, i, i))
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return "__pyx_temp_pointer_%d" % (self.ndim - 1)
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def end_loops(self):
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code = self.code
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for i in range(self.ndim - 1, -1, -1):
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code.putln("__pyx_temp_pointer_%d += __pyx_temp_stride_%d;" % (i, i))
|
|
code.putln("}")
|
|
|
|
code.end_block()
|
|
|
|
|
|
def copy_c_or_fortran_cname(memview):
|
|
if memview.is_c_contig:
|
|
c_or_f = 'c'
|
|
else:
|
|
c_or_f = 'f'
|
|
|
|
return "__pyx_memoryview_copy_slice_%s_%s" % (
|
|
memview.specialization_suffix(), c_or_f)
|
|
|
|
|
|
def get_copy_new_utility(pos, from_memview, to_memview):
|
|
if (from_memview.dtype != to_memview.dtype and
|
|
not (from_memview.dtype.is_const and from_memview.dtype.const_base_type == to_memview.dtype)):
|
|
error(pos, "dtypes must be the same!")
|
|
return
|
|
if len(from_memview.axes) != len(to_memview.axes):
|
|
error(pos, "number of dimensions must be same")
|
|
return
|
|
if not (to_memview.is_c_contig or to_memview.is_f_contig):
|
|
error(pos, "to_memview must be c or f contiguous.")
|
|
return
|
|
|
|
for (access, packing) in from_memview.axes:
|
|
if access != 'direct':
|
|
error(pos, "cannot handle 'full' or 'ptr' access at this time.")
|
|
return
|
|
|
|
if to_memview.is_c_contig:
|
|
mode = 'c'
|
|
contig_flag = memview_c_contiguous
|
|
elif to_memview.is_f_contig:
|
|
mode = 'fortran'
|
|
contig_flag = memview_f_contiguous
|
|
|
|
return load_memview_c_utility(
|
|
"CopyContentsUtility",
|
|
context=dict(
|
|
context,
|
|
mode=mode,
|
|
dtype_decl=to_memview.dtype.empty_declaration_code(),
|
|
contig_flag=contig_flag,
|
|
ndim=to_memview.ndim,
|
|
func_cname=copy_c_or_fortran_cname(to_memview),
|
|
dtype_is_object=int(to_memview.dtype.is_pyobject)),
|
|
requires=[copy_contents_new_utility])
|
|
|
|
|
|
def get_axes_specs(env, axes):
|
|
'''
|
|
get_axes_specs(env, axes) -> list of (access, packing) specs for each axis.
|
|
access is one of 'full', 'ptr' or 'direct'
|
|
packing is one of 'contig', 'strided' or 'follow'
|
|
'''
|
|
|
|
cythonscope = env.global_scope().context.cython_scope
|
|
cythonscope.load_cythonscope()
|
|
viewscope = cythonscope.viewscope
|
|
|
|
access_specs = tuple([viewscope.lookup(name)
|
|
for name in ('full', 'direct', 'ptr')])
|
|
packing_specs = tuple([viewscope.lookup(name)
|
|
for name in ('contig', 'strided', 'follow')])
|
|
|
|
is_f_contig, is_c_contig = False, False
|
|
default_access, default_packing = 'direct', 'strided'
|
|
cf_access, cf_packing = default_access, 'follow'
|
|
|
|
axes_specs = []
|
|
# analyse all axes.
|
|
for idx, axis in enumerate(axes):
|
|
if not axis.start.is_none:
|
|
raise CompileError(axis.start.pos, START_ERR)
|
|
|
|
if not axis.stop.is_none:
|
|
raise CompileError(axis.stop.pos, STOP_ERR)
|
|
|
|
if axis.step.is_none:
|
|
axes_specs.append((default_access, default_packing))
|
|
|
|
elif isinstance(axis.step, IntNode):
|
|
# the packing for the ::1 axis is contiguous,
|
|
# all others are cf_packing.
|
|
if axis.step.compile_time_value(env) != 1:
|
|
raise CompileError(axis.step.pos, STEP_ERR)
|
|
|
|
axes_specs.append((cf_access, 'cfcontig'))
|
|
|
|
elif isinstance(axis.step, (NameNode, AttributeNode)):
|
|
entry = _get_resolved_spec(env, axis.step)
|
|
if entry.name in view_constant_to_access_packing:
|
|
axes_specs.append(view_constant_to_access_packing[entry.name])
|
|
else:
|
|
raise CompileError(axis.step.pos, INVALID_ERR)
|
|
|
|
else:
|
|
raise CompileError(axis.step.pos, INVALID_ERR)
|
|
|
|
# First, find out if we have a ::1 somewhere
|
|
contig_dim = 0
|
|
is_contig = False
|
|
for idx, (access, packing) in enumerate(axes_specs):
|
|
if packing == 'cfcontig':
|
|
if is_contig:
|
|
raise CompileError(axis.step.pos, BOTH_CF_ERR)
|
|
|
|
contig_dim = idx
|
|
axes_specs[idx] = (access, 'contig')
|
|
is_contig = True
|
|
|
|
if is_contig:
|
|
# We have a ::1 somewhere, see if we're C or Fortran contiguous
|
|
if contig_dim == len(axes) - 1:
|
|
is_c_contig = True
|
|
else:
|
|
is_f_contig = True
|
|
|
|
if contig_dim and not axes_specs[contig_dim - 1][0] in ('full', 'ptr'):
|
|
raise CompileError(axes[contig_dim].pos,
|
|
"Fortran contiguous specifier must follow an indirect dimension")
|
|
|
|
if is_c_contig:
|
|
# Contiguous in the last dimension, find the last indirect dimension
|
|
contig_dim = -1
|
|
for idx, (access, packing) in enumerate(reversed(axes_specs)):
|
|
if access in ('ptr', 'full'):
|
|
contig_dim = len(axes) - idx - 1
|
|
|
|
# Replace 'strided' with 'follow' for any dimension following the last
|
|
# indirect dimension, the first dimension or the dimension following
|
|
# the ::1.
|
|
# int[::indirect, ::1, :, :]
|
|
# ^ ^
|
|
# int[::indirect, :, :, ::1]
|
|
# ^ ^
|
|
start = contig_dim + 1
|
|
stop = len(axes) - is_c_contig
|
|
for idx, (access, packing) in enumerate(axes_specs[start:stop]):
|
|
idx = contig_dim + 1 + idx
|
|
if access != 'direct':
|
|
raise CompileError(axes[idx].pos,
|
|
"Indirect dimension may not follow "
|
|
"Fortran contiguous dimension")
|
|
if packing == 'contig':
|
|
raise CompileError(axes[idx].pos,
|
|
"Dimension may not be contiguous")
|
|
axes_specs[idx] = (access, cf_packing)
|
|
|
|
if is_c_contig:
|
|
# For C contiguity, we need to fix the 'contig' dimension
|
|
# after the loop
|
|
a, p = axes_specs[-1]
|
|
axes_specs[-1] = a, 'contig'
|
|
|
|
validate_axes_specs([axis.start.pos for axis in axes],
|
|
axes_specs,
|
|
is_c_contig,
|
|
is_f_contig)
|
|
|
|
return axes_specs
|
|
|
|
|
|
def validate_axes(pos, axes):
|
|
if len(axes) >= Options.buffer_max_dims:
|
|
error(pos, "More dimensions than the maximum number"
|
|
" of buffer dimensions were used.")
|
|
return False
|
|
|
|
return True
|
|
|
|
|
|
def is_cf_contig(specs):
|
|
is_c_contig = is_f_contig = False
|
|
|
|
if len(specs) == 1 and specs == [('direct', 'contig')]:
|
|
is_c_contig = True
|
|
|
|
elif (specs[-1] == ('direct','contig') and
|
|
all(axis == ('direct','follow') for axis in specs[:-1])):
|
|
# c_contiguous: 'follow', 'follow', ..., 'follow', 'contig'
|
|
is_c_contig = True
|
|
|
|
elif (len(specs) > 1 and
|
|
specs[0] == ('direct','contig') and
|
|
all(axis == ('direct','follow') for axis in specs[1:])):
|
|
# f_contiguous: 'contig', 'follow', 'follow', ..., 'follow'
|
|
is_f_contig = True
|
|
|
|
return is_c_contig, is_f_contig
|
|
|
|
|
|
def get_mode(specs):
|
|
is_c_contig, is_f_contig = is_cf_contig(specs)
|
|
|
|
if is_c_contig:
|
|
return 'c'
|
|
elif is_f_contig:
|
|
return 'fortran'
|
|
|
|
for access, packing in specs:
|
|
if access in ('ptr', 'full'):
|
|
return 'full'
|
|
|
|
return 'strided'
|
|
|
|
view_constant_to_access_packing = {
|
|
'generic': ('full', 'strided'),
|
|
'strided': ('direct', 'strided'),
|
|
'indirect': ('ptr', 'strided'),
|
|
'generic_contiguous': ('full', 'contig'),
|
|
'contiguous': ('direct', 'contig'),
|
|
'indirect_contiguous': ('ptr', 'contig'),
|
|
}
|
|
|
|
def validate_axes_specs(positions, specs, is_c_contig, is_f_contig):
|
|
|
|
packing_specs = ('contig', 'strided', 'follow')
|
|
access_specs = ('direct', 'ptr', 'full')
|
|
|
|
# is_c_contig, is_f_contig = is_cf_contig(specs)
|
|
|
|
has_contig = has_follow = has_strided = has_generic_contig = False
|
|
|
|
last_indirect_dimension = -1
|
|
for idx, (access, packing) in enumerate(specs):
|
|
if access == 'ptr':
|
|
last_indirect_dimension = idx
|
|
|
|
for idx, (pos, (access, packing)) in enumerate(zip(positions, specs)):
|
|
|
|
if not (access in access_specs and
|
|
packing in packing_specs):
|
|
raise CompileError(pos, "Invalid axes specification.")
|
|
|
|
if packing == 'strided':
|
|
has_strided = True
|
|
elif packing == 'contig':
|
|
if has_contig:
|
|
raise CompileError(pos, "Only one direct contiguous "
|
|
"axis may be specified.")
|
|
|
|
valid_contig_dims = last_indirect_dimension + 1, len(specs) - 1
|
|
if idx not in valid_contig_dims and access != 'ptr':
|
|
if last_indirect_dimension + 1 != len(specs) - 1:
|
|
dims = "dimensions %d and %d" % valid_contig_dims
|
|
else:
|
|
dims = "dimension %d" % valid_contig_dims[0]
|
|
|
|
raise CompileError(pos, "Only %s may be contiguous and direct" % dims)
|
|
|
|
has_contig = access != 'ptr'
|
|
elif packing == 'follow':
|
|
if has_strided:
|
|
raise CompileError(pos, "A memoryview cannot have both follow and strided axis specifiers.")
|
|
if not (is_c_contig or is_f_contig):
|
|
raise CompileError(pos, "Invalid use of the follow specifier.")
|
|
|
|
if access in ('ptr', 'full'):
|
|
has_strided = False
|
|
|
|
def _get_resolved_spec(env, spec):
|
|
# spec must be a NameNode or an AttributeNode
|
|
if isinstance(spec, NameNode):
|
|
return _resolve_NameNode(env, spec)
|
|
elif isinstance(spec, AttributeNode):
|
|
return _resolve_AttributeNode(env, spec)
|
|
else:
|
|
raise CompileError(spec.pos, INVALID_ERR)
|
|
|
|
def _resolve_NameNode(env, node):
|
|
try:
|
|
resolved_name = env.lookup(node.name).name
|
|
except AttributeError:
|
|
raise CompileError(node.pos, INVALID_ERR)
|
|
|
|
viewscope = env.global_scope().context.cython_scope.viewscope
|
|
entry = viewscope.lookup(resolved_name)
|
|
if entry is None:
|
|
raise CompileError(node.pos, NOT_CIMPORTED_ERR)
|
|
|
|
return entry
|
|
|
|
def _resolve_AttributeNode(env, node):
|
|
path = []
|
|
while isinstance(node, AttributeNode):
|
|
path.insert(0, node.attribute)
|
|
node = node.obj
|
|
if isinstance(node, NameNode):
|
|
path.insert(0, node.name)
|
|
else:
|
|
raise CompileError(node.pos, EXPR_ERR)
|
|
modnames = path[:-1]
|
|
# must be at least 1 module name, o/w not an AttributeNode.
|
|
assert modnames
|
|
|
|
scope = env
|
|
for modname in modnames:
|
|
mod = scope.lookup(modname)
|
|
if not mod or not mod.as_module:
|
|
raise CompileError(
|
|
node.pos, "undeclared name not builtin: %s" % modname)
|
|
scope = mod.as_module
|
|
|
|
entry = scope.lookup(path[-1])
|
|
if not entry:
|
|
raise CompileError(node.pos, "No such attribute '%s'" % path[-1])
|
|
|
|
return entry
|
|
|
|
#
|
|
### Utility loading
|
|
#
|
|
|
|
def load_memview_cy_utility(util_code_name, context=None, **kwargs):
|
|
return CythonUtilityCode.load(util_code_name, "MemoryView.pyx",
|
|
context=context, **kwargs)
|
|
|
|
def load_memview_c_utility(util_code_name, context=None, **kwargs):
|
|
if context is None:
|
|
return UtilityCode.load(util_code_name, "MemoryView_C.c", **kwargs)
|
|
else:
|
|
return TempitaUtilityCode.load(util_code_name, "MemoryView_C.c",
|
|
context=context, **kwargs)
|
|
|
|
def use_cython_array_utility_code(env):
|
|
cython_scope = env.global_scope().context.cython_scope
|
|
cython_scope.load_cythonscope()
|
|
cython_scope.viewscope.lookup('array_cwrapper').used = True
|
|
|
|
context = {
|
|
'memview_struct_name': memview_objstruct_cname,
|
|
'max_dims': Options.buffer_max_dims,
|
|
'memviewslice_name': memviewslice_cname,
|
|
'memslice_init': memslice_entry_init,
|
|
}
|
|
memviewslice_declare_code = load_memview_c_utility(
|
|
"MemviewSliceStruct",
|
|
context=context,
|
|
requires=[])
|
|
|
|
atomic_utility = load_memview_c_utility("Atomics", context)
|
|
|
|
memviewslice_init_code = load_memview_c_utility(
|
|
"MemviewSliceInit",
|
|
context=dict(context, BUF_MAX_NDIMS=Options.buffer_max_dims),
|
|
requires=[memviewslice_declare_code,
|
|
atomic_utility],
|
|
)
|
|
|
|
memviewslice_index_helpers = load_memview_c_utility("MemviewSliceIndex")
|
|
|
|
typeinfo_to_format_code = load_memview_cy_utility(
|
|
"BufferFormatFromTypeInfo", requires=[Buffer._typeinfo_to_format_code])
|
|
|
|
is_contig_utility = load_memview_c_utility("MemviewSliceIsContig", context)
|
|
overlapping_utility = load_memview_c_utility("OverlappingSlices", context)
|
|
copy_contents_new_utility = load_memview_c_utility(
|
|
"MemviewSliceCopyTemplate",
|
|
context,
|
|
requires=[], # require cython_array_utility_code
|
|
)
|
|
|
|
view_utility_code = load_memview_cy_utility(
|
|
"View.MemoryView",
|
|
context=context,
|
|
requires=[Buffer.GetAndReleaseBufferUtilityCode(),
|
|
Buffer.buffer_struct_declare_code,
|
|
Buffer.buffer_formats_declare_code,
|
|
memviewslice_init_code,
|
|
is_contig_utility,
|
|
overlapping_utility,
|
|
copy_contents_new_utility,
|
|
ModuleNode.capsule_utility_code],
|
|
)
|
|
view_utility_whitelist = ('array', 'memoryview', 'array_cwrapper',
|
|
'generic', 'strided', 'indirect', 'contiguous',
|
|
'indirect_contiguous')
|
|
|
|
memviewslice_declare_code.requires.append(view_utility_code)
|
|
copy_contents_new_utility.requires.append(view_utility_code)
|