Moved weave

1 files changed, 0 insertions, 157 deletions

diff --git a/weave/standard_array_spec.py b/weave/standard_array_spec.py
deleted file mode 100644
index 261aeb3a5..000000000
--- a/weave/standard_array_spec.py
+++ /dev/null
@@ -1,157 +0,0 @@
-from c_spec import common_base_converter
-from c_spec import num_to_c_types
-from scipy.base import *
-from types import *
-import os
-
-
-num_typecode = {}
-num_typecode['b'] = 'PyArray_SBYTE'
-num_typecode['B'] = 'PyArray_UBYTE'
-num_typecode['h'] = 'PyArray_SHORT'
-num_typecode['H'] = 'PyArray_USHORT'
-num_typecode['i'] = 'PyArray_INT' # PyArray_INT has troubles ?? What does this note mean ??
-num_typecode['I'] = 'PyArray_UINT'
-num_typecode['l'] = 'PyArray_LONG'
-num_typecode['f'] = 'PyArray_FLOAT'
-num_typecode['d'] = 'PyArray_DOUBLE'
-num_typecode['F'] = 'PyArray_CFLOAT'
-num_typecode['D'] = 'PyArray_CDOUBLE'
-
-type_check_code = \
-"""
-class numpy_type_handler
-{
-public:
-    void conversion_numpy_check_type(PyArrayObject* arr_obj, int numeric_type,
-                                     const char* name)
-    {
-        // Make sure input has correct numeric type.
-        // allow character and byte to match
-        // also allow int and long to match
-        int arr_type = arr_obj->descr->type_num;
-        if ( arr_type != numeric_type &&
-            !(numeric_type == PyArray_CHAR  && arr_type == PyArray_SBYTE) &&
-            !(numeric_type == PyArray_SBYTE && arr_type == PyArray_CHAR)  &&
-            !(numeric_type == PyArray_INT   && arr_type == PyArray_LONG)  &&
-            !(numeric_type == PyArray_LONG  && arr_type == PyArray_INT)) 
-        {
-
-            char* type_names[20] = {"char","unsigned byte","byte", "short", "unsigned short",
-                                    "int", "unsigned int", "long", "float", "double", 
-                                    "complex float","complex double", "object","ntype",
-                                    "unkown"};
-            char msg[500];
-            sprintf(msg,"Conversion Error: received '%s' typed array instead of '%s' typed array for variable '%s'",
-                    type_names[arr_type],type_names[numeric_type],name);
-            throw_error(PyExc_TypeError,msg);    
-        }
-    }
-    
-    void numpy_check_type(PyArrayObject* arr_obj, int numeric_type, const char* name)
-    {
-        // Make sure input has correct numeric type.
-        int arr_type = arr_obj->descr->type_num;
-        if ( arr_type != numeric_type &&
-            !(numeric_type == PyArray_CHAR  && arr_type == PyArray_SBYTE) &&
-            !(numeric_type == PyArray_SBYTE && arr_type == PyArray_CHAR)  &&
-            !(numeric_type == PyArray_INT   && arr_type == PyArray_LONG)  &&
-            !(numeric_type == PyArray_LONG  && arr_type == PyArray_INT)) 
-        {
-            char* type_names[20] = {"char","unsigned byte","byte", "short", 
-                                    "unsigned short", "int", "unsigned int",
-                                    "long", "float", "double", 
-                                    "complex float", "complex double", 
-                                    "object","ntype","unkown"};
-            char msg[500];
-            sprintf(msg,"received '%s' typed array instead of '%s' typed array for variable '%s'",
-                    type_names[arr_type],type_names[numeric_type],name);
-            throw_error(PyExc_TypeError,msg);    
-        }
-    }
-};
-
-numpy_type_handler x__numpy_type_handler = numpy_type_handler();
-#define conversion_numpy_check_type x__numpy_type_handler.conversion_numpy_check_type
-#define numpy_check_type x__numpy_type_handler.numpy_check_type
-
-"""
-
-size_check_code = \
-"""
-class numpy_size_handler
-{
-public:
-    void conversion_numpy_check_size(PyArrayObject* arr_obj, int Ndims, 
-                                     const char* name)
-    {
-        if (arr_obj->nd != Ndims)
-        {
-            char msg[500];
-            sprintf(msg,"Conversion Error: received '%d' dimensional array instead of '%d' dimensional array for variable '%s'",
-                    arr_obj->nd,Ndims,name);
-            throw_error(PyExc_TypeError,msg);
-        }    
-    }
-    
-    void numpy_check_size(PyArrayObject* arr_obj, int Ndims, const char* name)
-    {
-        if (arr_obj->nd != Ndims)
-        {
-            char msg[500];
-            sprintf(msg,"received '%d' dimensional array instead of '%d' dimensional array for variable '%s'",
-                    arr_obj->nd,Ndims,name);
-            throw_error(PyExc_TypeError,msg);
-        }    
-    }
-};
-
-numpy_size_handler x__numpy_size_handler = numpy_size_handler();
-#define conversion_numpy_check_size x__numpy_size_handler.conversion_numpy_check_size
-#define numpy_check_size x__numpy_size_handler.numpy_check_size
-
-"""
-
-numeric_init_code = \
-"""
-Py_Initialize();
-import_array();
-PyImport_ImportModule("scipy");
-""" 
-    
-class array_converter(common_base_converter):
-
-    def init_info(self):
-        common_base_converter.init_info(self)
-        self.type_name = 'numpy'
-        self.check_func = 'PyArray_Check'    
-        self.c_type = 'PyArrayObject*'
-        self.return_type = 'PyArrayObject*'
-        self.to_c_return = '(PyArrayObject*) py_obj'
-        self.matching_types = [ArrayType]
-        self.headers = ['"scipy/arrayobject.h"',
-                        '<complex>','<math.h>']
-        self.support_code = [size_check_code, type_check_code]
-        self.module_init_code = [numeric_init_code]    
-               
-    def get_var_type(self,value):
-        return value.dtypechar
-    
-    def template_vars(self,inline=0):
-        res = common_base_converter.template_vars(self,inline)    
-        if hasattr(self,'var_type'):
-            res['num_type'] = num_to_c_types[self.var_type]
-            res['num_typecode'] = num_typecode[self.var_type]
-        res['array_name'] = self.name + "_array"
-        return res
-         
-    def declaration_code(self,templatize = 0,inline=0):
-        code = '%(py_var)s = %(var_lookup)s;\n'   \
-               '%(c_type)s %(array_name)s = %(var_convert)s;\n'  \
-               'conversion_numpy_check_type(%(array_name)s,%(num_typecode)s,"%(name)s");\n' \
-               'int* N%(name)s = %(array_name)s->dimensions;\n' \
-               'int* S%(name)s = %(array_name)s->strides;\n' \
-               'int D%(name)s = %(array_name)s->nd;\n' \
-               '%(num_type)s* %(name)s = (%(num_type)s*) %(array_name)s->data;\n' 
-        code = code % self.template_vars(inline=inline)
-        return code