Class: Numo::NArray
- Inherits:
-
Object
- Object
- Numo::NArray
- Defined in:
- lib/numo/narray/extra.rb,
ext/numo/narray/narray.c
Defined Under Namespace
Classes: CastError, DimensionError, OperationError, ShapeError, Step
Constant Summary collapse
- VERSION =
rb_str_new2(NARRAY_VERSION)
Class Method Summary collapse
-
.[](elements) ⇒ NArray
Generate NArray object.
- .array_type(ary) ⇒ Object
-
.byte_size ⇒ Numeric
Returns byte size of one element of NArray.
-
.concatenate(arrays, axis: 0) ⇒ Object
p a = Numo::DFloat[[1, 2], [3, 4]] # Numo::DFloat#shape= # [[1, 2], # [3, 4]].
- .debug=(flag) ⇒ Object
- .dstack(arrays) ⇒ Object
-
.eye(n) ⇒ Numo::NArray
Returns a NArray with shape=(n,n) whose diagonal elements are 1, otherwise 0.
-
.from_binary(string, [shape]) ⇒ Numo::NArray
Returns a new 1-D array initialized from binary raw data in a string.
- .hstack(arrays) ⇒ Object
-
.inspect_cols ⇒ Integer or nil
Returns the number of cols used for NArray#inspect.
-
.inspect_cols=(cols) ⇒ nil
Set the number of cols used for NArray#inspect.
-
.inspect_rows ⇒ Integer or nil
Returns the number of rows used for NArray#inspect.
-
.inspect_rows=(rows) ⇒ nil
Set the number of rows used for NArray#inspect.
-
.linspace(x1, x2, [n]) ⇒ Numo::NArray
Returns an array of N linearly spaced points between x1 and x2.
-
.logspace(a, b, [n, base]) ⇒ Numo::NArray
Returns an array of N logarithmically spaced points between 10^a and 10^b.
-
.ones(*args) ⇒ Object
Returns a one-filled narray with shape.
- .profile ⇒ Object
- .profile=(val) ⇒ Object
- .step(*args) ⇒ Object
-
.upcast(type2) ⇒ Object
———————————————————————-.
-
.vstack(arrays) ⇒ Object
# arrays = 10.times.mapDFloat.new(3,4).rand(10) # p Numo::NArray.stack(arrays, axis:0).shape # # [10, 3, 4] # p Numo::NArray.stack(arrays, axis:1).shape # # [3, 10, 4] # p Numo::NArray.stack(arrays, axis:2).shape # # [3, 4, 10] # a = Numo::NArray # b = Numo::NArray # p Numo::NArray.stack() # # Numo::Int32#shape= # # [[1, 2, 3], # # [2, 3, 4]] # p Numo::NArray.stack(,axis:-1) # # Numo::Int32#shape= # # [[1, 2], # # [2, 3], # # [3, 4]].
-
.zeros(*args) ⇒ Object
Returns a zero-filled narray with shape.
Instance Method Summary collapse
-
#==(other) ⇒ Boolean
Equality of self and other in view of numerical array.
-
#byte_size ⇒ Integer
Returns total byte size of NArray.
-
#byte_swapped? ⇒ Boolean
(also: #network_order?)
Return true if byte swapped.
-
#cast_to(datatype) ⇒ Numo::NArray
Cast self to another NArray datatype.
- #check_axis(axis) ⇒ Object
-
#coerce(other) ⇒ Array
Returns an array containing other and self, both are converted to upcasted type of NArray.
-
#column_major? ⇒ Boolean
Return true if column major.
-
#concatenate(*arrays, axis: 0) ⇒ Object
p a = Numo::DFloat[[1, 2], [3, 4]] # Numo::DFloat#shape= # [[1, 2], # [3, 4]].
- #contiguous? ⇒ Boolean
- #debug_info ⇒ Object
-
#diagonal([offset,axes]) ⇒ Numo::NArray
Returns a diagonal view of NArray.
-
#dot(other) ⇒ Object
Returns dot product.
- #dsplit(indices_or_sections) ⇒ Object
-
#empty? ⇒ Boolean
Returns true if self.size == 0.
-
#expand_dims(dim) ⇒ Numo::NArray
Expand the shape of an array.
- #flatten ⇒ Object
-
#host_order? ⇒ Boolean
(also: #little_endian?, #vacs_order?)
Return true if not byte swapped.
- #hsplit(indices_or_sections) ⇒ Object
-
#initialize(args) ⇒ Object
constructor
Constructs a narray using the given DataType and shape or sizes.
-
#initialize_copy(other) ⇒ Numo::NArray
Replaces the contents of self with the contents of other narray.
-
#inplace ⇒ Numo::NArray
Returns view of narray with inplace flagged.
-
#inplace! ⇒ Numo::NArray
Set inplace flag to self.
-
#inplace? ⇒ Boolean
Return true if inplace flagged.
-
#marshal_dump ⇒ Array
Dump marshal data.
-
#marshal_load(data) ⇒ nil
Load marshal data.
-
#ndim ⇒ Object
(also: #rank)
method: size() – returns the total number of typeents.
-
#out_of_place! ⇒ Numo::NArray
(also: #not_inplace!)
Unset inplace flag to self.
-
#repeat(arg, axis: nil) ⇒ Object
p Numo::NArray.repeat(4) # Numo::Int32#shape= # [3, 3, 3, 3].
-
#reshape(*args) ⇒ Object
private function for reshape.
-
#reverse([dim0,dim1,..]) ⇒ Object
Return reversed view along specified dimeinsion.
-
#row_major? ⇒ Boolean
Return true if row major.
-
#shape ⇒ Object
method: shape() – returns shape, array of the size of dimensions.
-
#size ⇒ Object
(also: #length, #total)
method: size() – returns the total number of typeents.
-
#split(indices_or_sections, axis: 0) ⇒ Object
p x = Numo::DFloat.new(9).seq # Numo::DFloat#shape= # [0, 1, 2, 3, 4, 5, 6, 7, 8].
-
#store_binary(string, [offset]) ⇒ Integer
Returns a new 1-D array initialized from binary raw data in a string.
- #swap_byte ⇒ Object (also: #hton)
-
#tile(*arg) ⇒ Object
p a = Numo::NArray # Numo::Int32#shape= # [0, 1, 2].
-
#to_binary ⇒ String
(also: #to_string)
Returns string containing the raw data bytes in NArray.
- #to_host ⇒ Object
- #to_network ⇒ Object
- #to_swapped ⇒ Object
- #to_vacs ⇒ Object
- #transpose(*args) ⇒ Object
-
#view ⇒ Object
Return view of NArray.
-
#vsplit(indices_or_sections) ⇒ Object
p x = Numo::DFloat.new(4,4).seq # Numo::DFloat#shape= # [[0, 1, 2, 3], # [4, 5, 6, 7], # [8, 9, 10, 11], # [12, 13, 14, 15]].
Constructor Details
#Numo::DataType.new(shape) ⇒ Object #Numo::DataType.new(size1, size2, ...) ⇒ Object
Constructs a narray using the given DataType and shape or sizes.
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# File 'ext/numo/narray/narray.c', line 316 static VALUE na_initialize(VALUE self, VALUE args) { VALUE v; size_t *shape=NULL; int ndim; if (RARRAY_LEN(args) == 1) { v = RARRAY_AREF(args,0); if (TYPE(v) != T_ARRAY) { v = args; } } else { v = args; } ndim = RARRAY_LEN(v); if (ndim > NA_MAX_DIMENSION) { rb_raise(rb_eArgError,"ndim=%d exceeds maximum dimension",ndim); } shape = ALLOCA_N(size_t, ndim); // setup size_t shape[] from VALUE shape argument na_array_to_internal_shape(self, v, shape); na_setup(self, ndim, shape); return self; } |
Class Method Details
.[](elements) ⇒ NArray
Generate NArray object. NArray datatype is automatically selected.
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# File 'ext/numo/narray/array.c', line 388 static VALUE nary_s_bracket(VALUE klass, VALUE ary) { VALUE dtype=Qnil; if (TYPE(ary)!=T_ARRAY) { rb_bug("Argument is not array"); } dtype = na_ary_composition_dtype(ary); if (RTEST(rb_obj_is_kind_of(dtype,rb_cClass))) { if (RTEST(rb_funcall(dtype,rb_intern("<="),1,cNArray))) { return rb_funcall(dtype,rb_intern("cast"),1,ary); } } rb_raise(nary_eCastError, "cannot convert to NArray"); return Qnil; } |
.array_type(ary) ⇒ Object
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# File 'ext/numo/narray/array.c', line 374 static VALUE na_s_array_type(VALUE mod, VALUE ary) { return na_ary_composition_dtype(ary); } |
.byte_size ⇒ Numeric
Returns byte size of one element of NArray.
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# File 'ext/numo/narray/narray.c', line 1174 static VALUE nary_s_byte_size(VALUE type) { return rb_const_get(type, rb_intern(ELEMENT_BYTE_SIZE)); } |
.concatenate(arrays, axis: 0) ⇒ Object
p a = Numo::DFloat[[1, 2], [3, 4]] # Numo::DFloat#shape= # [[1, 2], # [3, 4]]
p b = Numo::DFloat[[5, 6]] # Numo::DFloat#shape= # [[5, 6]]
p Numo::NArray.concatenate(,axis:0) # Numo::DFloat#shape= # [[1, 2], # [3, 4], # [5, 6]]
p Numo::NArray.concatenate(, axis:1) # Numo::DFloat#shape= # [[1, 2, 5], # [3, 4, 6]]
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# File 'lib/numo/narray/extra.rb', line 24 def self.concatenate(arrays,axis:0) klass = (self==NArray) ? NArray.array_type(arrays) : self nd = 0 arrays.map! do |a| case a when NArray # ok when Numeric a = klass.new(1).store(a) when Array a = klass.cast(a) else raise TypeError,"not Numo::NArray" end if a.ndim > nd nd = a.ndim end a end if axis < 0 axis += nd end if axis < 0 || axis >= nd raise ArgumentError,"axis is out of range" end new_shape = nil sum_size = 0 arrays.each do |a| a_shape = a.shape if nd != a_shape.size a_shape = [1]*(nd-a_shape.size) + a_shape end sum_size += a_shape.delete_at(axis) if new_shape if new_shape != a_shape raise ShapeError,"shape mismatch" end else new_shape = a_shape end end new_shape.insert(axis,sum_size) result = klass.zeros(*new_shape) lst = 0 refs = [true] * nd arrays.each do |a| fst = lst lst = fst + (a.shape[axis-nd]||1) refs[axis] = fst...lst result[*refs] = a end result end |
.debug=(flag) ⇒ Object
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# File 'ext/numo/narray/narray.c', line 1664 VALUE na_debug_set(VALUE mod, VALUE flag) { na_debug_flag = RTEST(flag); return Qnil; } |
.dstack(arrays) ⇒ Object
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# File 'lib/numo/narray/extra.rb', line 145 def self.dstack(arrays) self.concatenate(arrays,axis:2) end |
.eye(n) ⇒ Numo::NArray
Returns a NArray with shape=(n,n) whose diagonal elements are 1, otherwise 0.
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# File 'ext/numo/narray/narray.c', line 529 static VALUE na_s_eye(int argc, VALUE *argv, VALUE klass) { VALUE obj; VALUE tmp[2]; if (argc==0) { rb_raise(rb_eArgError,"No argument"); } else if (argc==1) { tmp[0] = tmp[1] = argv[0]; argv = tmp; argc = 2; } obj = rb_class_new_instance(argc, argv, klass); return rb_funcall(obj, rb_intern("eye"), 0); } |
.from_binary(string, [shape]) ⇒ Numo::NArray
Returns a new 1-D array initialized from binary raw data in a string.
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# File 'ext/numo/narray/narray.c', line 1188 static VALUE nary_s_from_binary(int argc, VALUE *argv, VALUE type) { size_t len, str_len, byte_size; size_t *shape; char *ptr; int i, nd, narg; VALUE vstr, vshape, vna; VALUE velmsz; narg = rb_scan_args(argc,argv,"11",&vstr,&vshape); Check_Type(vstr,T_STRING); str_len = RSTRING_LEN(vstr); velmsz = rb_const_get(type, rb_intern(ELEMENT_BYTE_SIZE)); if (narg==2) { switch(TYPE(vshape)) { case T_FIXNUM: nd = 1; len = NUM2SIZET(vshape); shape = &len; break; case T_ARRAY: nd = RARRAY_LEN(vshape); if (nd == 0 || nd > NA_MAX_DIMENSION) { rb_raise(nary_eDimensionError,"too long or empty shape (%d)", nd); } shape = ALLOCA_N(size_t,nd); len = 1; for (i=0; i<nd; ++i) { len *= shape[i] = NUM2SIZET(RARRAY_AREF(vshape,i)); } break; default: rb_raise(rb_eArgError,"second argument must be size or shape"); } if (FIXNUM_P(velmsz)) { byte_size = len * NUM2SIZET(velmsz); } else { byte_size = ceil(len * NUM2DBL(velmsz)); } if (byte_size > str_len) { rb_raise(rb_eArgError, "specified size is too large"); } } else { nd = 1; if (FIXNUM_P(velmsz)) { len = str_len / NUM2SIZET(velmsz); byte_size = len * NUM2SIZET(velmsz); } else { len = floor(str_len / NUM2DBL(velmsz)); byte_size = str_len; } if (len == 0) { rb_raise(rb_eArgError, "string is empty or too short"); } shape = ALLOCA_N(size_t,nd); shape[0] = len; } vna = rb_narray_new(type, nd, shape); ptr = na_get_pointer_for_write(vna); memcpy(ptr, RSTRING_PTR(vstr), byte_size); return vna; } |
.hstack(arrays) ⇒ Object
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# File 'lib/numo/narray/extra.rb', line 141 def self.hstack(arrays) self.concatenate(arrays,axis:1) end |
.inspect_cols ⇒ Integer or nil
Returns the number of cols used for NArray#inspect
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# File 'ext/numo/narray/narray.c', line 1719 static VALUE na_inspect_cols(VALUE mod) { if (numo_na_inspect_cols > 0) { return INT2NUM(numo_na_inspect_cols); } else { return Qnil; } } |
.inspect_cols=(cols) ⇒ nil
Set the number of cols used for NArray#inspect
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# File 'ext/numo/narray/narray.c', line 1734 static VALUE na_inspect_cols_set(VALUE mod, VALUE num) { if (RTEST(num)) { numo_na_inspect_cols = NUM2INT(num); } else { numo_na_inspect_cols = 0; } return Qnil; } |
.inspect_rows ⇒ Integer or nil
Returns the number of rows used for NArray#inspect
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# File 'ext/numo/narray/narray.c', line 1689 static VALUE na_inspect_rows(VALUE mod) { if (numo_na_inspect_rows > 0) { return INT2NUM(numo_na_inspect_rows); } else { return Qnil; } } |
.inspect_rows=(rows) ⇒ nil
Set the number of rows used for NArray#inspect
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# File 'ext/numo/narray/narray.c', line 1704 static VALUE na_inspect_rows_set(VALUE mod, VALUE num) { if (RTEST(num)) { numo_na_inspect_rows = NUM2INT(num); } else { numo_na_inspect_rows = 0; } return Qnil; } |
.linspace(x1, x2, [n]) ⇒ Numo::NArray
Returns an array of N linearly spaced points between x1 and x2. This singleton method is valid not for NArray class itself but for typed NArray subclasses, e.g., DFloat, Int64.
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# File 'ext/numo/narray/narray.c', line 450 static VALUE na_s_linspace(int argc, VALUE *argv, VALUE klass) { VALUE obj, vx1, vx2, vstep, vsize; double n; int narg; narg = rb_scan_args(argc,argv,"21",&vx1,&vx2,&vsize); if (narg==3) { n = NUM2DBL(vsize); } else { n = 100; vsize = INT2FIX(100); } obj = rb_funcall(vx2, '-', 1, vx1); vstep = rb_funcall(obj, '/', 1, DBL2NUM(n-1)); obj = rb_class_new_instance(1, &vsize, klass); return rb_funcall(obj, rb_intern("seq"), 2, vx1, vstep); } |
.logspace(a, b, [n, base]) ⇒ Numo::NArray
Returns an array of N logarithmically spaced points between 10^a and 10^b. This singleton method is valid not for NArray having logseq method, i.e., DFloat, SFloat, DComplex, and SComplex.
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# File 'ext/numo/narray/narray.c', line 492 static VALUE na_s_logspace(int argc, VALUE *argv, VALUE klass) { VALUE obj, vx1, vx2, vstep, vsize, vbase; double n; rb_scan_args(argc,argv,"22",&vx1,&vx2,&vsize,&vbase); if (vsize == Qnil) { vsize = INT2FIX(50); n = 50; } else { n = NUM2DBL(vsize); } if (vbase == Qnil) { vbase = DBL2NUM(10); } obj = rb_funcall(vx2, '-', 1, vx1); vstep = rb_funcall(obj, '/', 1, DBL2NUM(n-1)); obj = rb_class_new_instance(1, &vsize, klass); return rb_funcall(obj, rb_intern("logseq"), 3, vx1, vstep, vbase); } |
.ones(shape) ⇒ Object .ones(size1, size2, ...) ⇒ Object
Returns a one-filled narray with shape. This singleton method is valid not for NArray class itself but for typed NArray subclasses, e.g., DFloat, Int64.
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# File 'ext/numo/narray/narray.c', line 425 static VALUE na_s_ones(int argc, VALUE *argv, VALUE klass) { VALUE obj; obj = rb_class_new_instance(argc, argv, klass); return rb_funcall(obj, rb_intern("fill"), 1, INT2FIX(1)); } |
.profile ⇒ Object
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# File 'ext/numo/narray/narray.c', line 1672 VALUE na_profile(VALUE mod) { return rb_float_new(na_profile_value); } |
.profile=(val) ⇒ Object
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# File 'ext/numo/narray/narray.c', line 1677 VALUE na_profile_set(VALUE mod, VALUE val) { na_profile_value = NUM2DBL(val); return val; } |
.step(*args) ⇒ Object
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# File 'ext/numo/narray/step.c', line 449 static VALUE nary_s_step( int argc, VALUE *argv, VALUE mod ) { VALUE self = rb_obj_alloc(na_cStep); step_initialize(argc, argv, self); return self; } |
.upcast(type2) ⇒ Object
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# File 'ext/numo/narray/narray.c', line 1110 VALUE numo_na_upcast(VALUE type1, VALUE type2) { VALUE upcast_hash; VALUE result_type; if (type1==type2) { return type1; } upcast_hash = rb_const_get(type1, rb_intern("UPCAST")); result_type = rb_hash_aref(upcast_hash, type2); if (NIL_P(result_type)) { if (TYPE(type2)==T_CLASS) { if (RTEST(rb_class_inherited_p(type2,cNArray))) { upcast_hash = rb_const_get(type2, rb_intern("UPCAST")); result_type = rb_hash_aref(upcast_hash, type1); } } } return result_type; } |
.vstack(arrays) ⇒ Object
# arrays = 10.times.mapDFloat.new(3,4).rand(10)
# p Numo::NArray.stack(arrays, axis:0).shape
# # [10, 3, 4]
# p Numo::NArray.stack(arrays, axis:1).shape
# # [3, 10, 4]
# p Numo::NArray.stack(arrays, axis:2).shape
# # [3, 4, 10]
# a = Numo::NArray[1,2,3]
# b = Numo::NArray[2,3,4]
# p Numo::NArray.stack([a,b])
# # Numo::Int32#shape=[2,3]
# # [[1, 2, 3],
# # [2, 3, 4]]
# p Numo::NArray.stack([a,b],axis:-1)
# # Numo::Int32#shape=[3,2]
# # [[1, 2],
# # [2, 3],
# # [3, 4]]
def self.stack(arrays,axis:0)
if !arrays.kind_of?(Array)
raise TypeError, "argument should be array"
end
if self == NArray
klass = self.array_type(arrays)
else
klass = self
end
new_shape = self.array_shape(arrays)[1..-1]
nd = new_shape.length + 1
if axis < 0
axis += nd
end
if axis < 0 || axis >= nd
raise ArgumentError,"axis is out of range"
end
new_shape.insert(axis, arrays.length)
result = klass.zeros(*new_shape)
refs = [true] * nd
arrays.each_with_index do |a,i|
refs[axis] = i
result[*refs] = a
end
result
end
def self.vstack(arrays)
self.stack(arrays,axis:0)
end
def self.hstack(arrays)
self.stack(arrays,axis:1)
end
def self.dstack(arrays)
self.stack(arrays,axis:2)
end
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# File 'lib/numo/narray/extra.rb', line 137 def self.vstack(arrays) self.concatenate(arrays,axis:0) end |
.zeros(shape) ⇒ Object .zeros(size1, size2, ...) ⇒ Object
Returns a zero-filled narray with shape. This singleton method is valid not for NArray class itself but for typed NArray subclasses, e.g., DFloat, Int64.
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# File 'ext/numo/narray/narray.c', line 401 static VALUE na_s_zeros(int argc, VALUE *argv, VALUE klass) { VALUE obj; obj = rb_class_new_instance(argc, argv, klass); return rb_funcall(obj, rb_intern("fill"), 1, INT2FIX(0)); } |
Instance Method Details
#==(other) ⇒ Boolean
Equality of self and other in view of numerical array. i.e., both arrays have same shape and corresponding elements are equal.
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# File 'ext/numo/narray/narray.c', line 1752 VALUE na_equal(VALUE self, volatile VALUE other) { volatile VALUE vbool; narray_t *na1, *na2; int i; GetNArray(self,na1); if (!rb_obj_is_kind_of(other,cNArray)) { other = rb_funcall(CLASS_OF(self), rb_intern("cast"), 1, other); } GetNArray(other,na2); if (na1->ndim != na2->ndim) { return Qfalse; } for (i=0; i<na1->ndim; i++) { if (na1->shape[i] != na2->shape[i]) { return Qfalse; } } vbool = rb_funcall(self, rb_intern("eq"), 1, other); return (rb_funcall(vbool, rb_intern("count_false"), 0)==INT2FIX(0)) ? Qtrue : Qfalse; } |
#byte_size ⇒ Integer
Returns total byte size of NArray.
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# File 'ext/numo/narray/narray.c', line 1156 static VALUE nary_byte_size(VALUE self) { VALUE velmsz; narray_t *na; GetNArray(self,na); velmsz = rb_const_get(CLASS_OF(self), rb_intern(ELEMENT_BYTE_SIZE)); if (FIXNUM_P(velmsz)) { return SIZET2NUM(NUM2SIZET(velmsz) * na->size); } return SIZET2NUM(ceil(NUM2DBL(velmsz) * na->size)); } |
#byte_swapped? ⇒ Boolean Also known as: network_order?
Return true if byte swapped.
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# File 'ext/numo/narray/narray.c', line 1593 VALUE na_byte_swapped_p( VALUE self ) { if (TEST_BYTE_SWAPPED(self)) return Qtrue; return Qfalse; } |
#cast_to(datatype) ⇒ Numo::NArray
Cast self to another NArray datatype.
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# File 'ext/numo/narray/narray.c', line 1420 static VALUE nary_cast_to(VALUE obj, VALUE type) { return rb_funcall(type, rb_intern("cast"), 1, obj); } |
#check_axis(axis) ⇒ Object
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# File 'lib/numo/narray/extra.rb', line 454 def check_axis(axis) if axis < 0 axis += ndim end if axis < 0 || axis >= ndim raise ArgumentError,"invalid axis" end axis end |
#coerce(other) ⇒ Array
Returns an array containing other and self, both are converted to upcasted type of NArray. Note that NArray has distinct UPCAST mechanism. Coerce is used for operation between non-NArray and NArray.
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# File 'ext/numo/narray/narray.c', line 1141 static VALUE nary_coerce(VALUE x, VALUE y) { VALUE type; type = numo_na_upcast(CLASS_OF(x), CLASS_OF(y)); y = rb_funcall(type,rb_intern("cast"),1,y); return rb_assoc_new(y , x); } |
#column_major? ⇒ Boolean
Return true if column major.
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# File 'ext/numo/narray/narray.c', line 1570 VALUE na_column_major_p( VALUE self ) { if (TEST_COLUMN_MAJOR(self)) return Qtrue; else return Qfalse; } |
#concatenate(*arrays, axis: 0) ⇒ Object
p a = Numo::DFloat[[1, 2], [3, 4]] # Numo::DFloat#shape= # [[1, 2], # [3, 4]]
p b = Numo::DFloat[[5, 6]] # Numo::DFloat#shape= # [[5, 6]]
p a.concatenate(b,axis:0) # Numo::DFloat#shape= # [[1, 2], # [3, 4], # [5, 6]]
p a.concatenate(b.transpose, axis:1) # Numo::DFloat#shape= # [[1, 2, 5], # [3, 4, 6]]
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# File 'lib/numo/narray/extra.rb', line 169 def concatenate(*arrays,axis:0) axis = check_axis(axis) self_shape = shape self_shape.delete_at(axis) sum_size = shape[axis] arrays.map! do |a| case a when NArray # ok when Numeric a = self.class.new(1).store(a) when Array a = self.class.cast(a) else raise TypeError,"not Numo::NArray" end if a.ndim > ndim raise ShapeError,"dimension mismatch" end a_shape = a.shape sum_size += a_shape.delete_at(axis-ndim) || 1 if self_shape != a_shape raise ShapeError,"shape mismatch" end a end self_shape.insert(axis,sum_size) result = self.class.zeros(*self_shape) lst = shape[axis] refs = [true] * ndim refs[axis] = 0...lst result[*refs] = self arrays.each do |a| fst = lst lst = fst + (a.shape[axis-ndim] || 1) refs[axis] = fst...lst result[*refs] = a end result end |
#contiguous? ⇒ Boolean
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# File 'ext/numo/narray/narray.c', line 868 VALUE na_check_contiguous(VALUE self) { ssize_t elmsz; narray_t *na; GetNArray(self,na); switch(na->type) { case NARRAY_DATA_T: case NARRAY_FILEMAP_T: return Qtrue; case NARRAY_VIEW_T: if (NA_VIEW_STRIDX(na)==0) { return Qtrue; } if (na_check_ladder(self,0)==Qtrue) { elmsz = na_get_elmsz(self); if (elmsz == NA_STRIDE_AT(na,NA_NDIM(na)-1)) { return Qtrue; } } } return Qfalse; } |
#debug_info ⇒ Object
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# File 'ext/numo/narray/narray.c', line 108 VALUE rb_narray_debug_info(VALUE self) { int i; narray_t *na; GetNArray(self,na); printf("%s:\n",rb_class2name(CLASS_OF(self))); printf(" id = 0x%"PRI_VALUE_PREFIX"x\n", self); printf(" type = %d\n", na->type); printf(" flag = [%d,%d]\n", na->flag[0], na->flag[1]); printf(" size = %"SZF"d\n", na->size); printf(" ndim = %d\n", na->ndim); printf(" shape = 0x%"SZF"x\n", (size_t)na->shape); if (na->shape) { printf(" shape = ["); for (i=0;i<na->ndim;i++) printf(" %"SZF"d", na->shape[i]); printf(" ]\n"); } switch(na->type) { case NARRAY_DATA_T: case NARRAY_FILEMAP_T: rb_narray_debug_info_nadata(self); break; case NARRAY_VIEW_T: rb_narray_debug_info_naview(self); break; } return Qnil; } |
#diagonal([offset,axes]) ⇒ Numo::NArray
Returns a diagonal view of NArray
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# File 'ext/numo/narray/data.c', line 556 VALUE na_diagonal(int argc, VALUE *argv, VALUE self) { int i, k, nd; size_t j; size_t *idx0, *idx1, *diag_idx; size_t *shape; size_t diag_size; ssize_t stride, stride0, stride1; narray_t *na; narray_view_t *na1, *na2; VALUE view; VALUE vofs=0, vaxes=0; ssize_t kofs; size_t k0, k1; int ax[2]; // check arguments if (argc>2) { rb_raise(rb_eArgError,"too many arguments (%d for 0..2)",argc); } for (i=0; i<argc; i++) { switch(TYPE(argv[i])) { case T_FIXNUM: if (vofs) { rb_raise(rb_eArgError,"offset is given twice"); } vofs = argv[i]; break; case T_ARRAY: if (vaxes) { rb_raise(rb_eArgError,"axes-array is given twice"); } vaxes = argv[i]; break; } } if (vofs) { kofs = NUM2SSIZET(vofs); } else { kofs = 0; } GetNArray(self,na); nd = na->ndim; if (nd < 2) { rb_raise(nary_eDimensionError,"less than 2-d array"); } if (vaxes) { if (RARRAY_LEN(vaxes) != 2) { rb_raise(rb_eArgError,"axes must be 2-element array"); } ax[0] = NUM2INT(RARRAY_AREF(vaxes,0)); ax[1] = NUM2INT(RARRAY_AREF(vaxes,1)); if (ax[0]<-nd || ax[0]>=nd || ax[1]<-nd || ax[1]>=nd) { rb_raise(rb_eArgError,"axis out of range:[%d,%d]",ax[0],ax[1]); } if (ax[0]<0) {ax[0] += nd;} if (ax[1]<0) {ax[1] += nd;} if (ax[0]==ax[1]) { rb_raise(rb_eArgError,"same axes:[%d,%d]",ax[0],ax[1]); } } else { ax[0] = nd-2; ax[1] = nd-1; } // Diagonal offset from the main diagonal. if (kofs >= 0) { k0 = 0; k1 = kofs; if (k1 >= na->shape[ax[1]]) { rb_raise(rb_eArgError,"invalid diagonal offset(%"SZF"d) for " "last dimension size(%"SZF"d)",kofs,na->shape[ax[1]]); } } else { k0 = -kofs; k1 = 0; if (k0 >= na->shape[ax[0]]) { rb_raise(rb_eArgError,"invalid diagonal offset(=%"SZF"d) for " "last-1 dimension size(%"SZF"d)",kofs,na->shape[ax[0]]); } } diag_size = MIN(na->shape[ax[0]]-k0,na->shape[ax[1]]-k1); // new shape shape = ALLOCA_N(size_t,nd-1); for (i=k=0; i<nd; i++) { if (i != ax[0] && i != ax[1]) { shape[k++] = na->shape[i]; } } shape[k] = diag_size; // new object view = na_s_allocate_view(CLASS_OF(self)); na_copy_flags(self, view); GetNArrayView(view, na2); // new stride na_setup_shape((narray_t*)na2, nd-1, shape); na2->stridx = ALLOC_N(stridx_t, nd-1); switch(na->type) { case NARRAY_DATA_T: case NARRAY_FILEMAP_T: na2->offset = 0; na2->data = self; stride = stride0 = stride1 = na_get_elmsz(self); for (i=nd,k=nd-2; i--; ) { if (i==ax[1]) { stride1 = stride; if (kofs > 0) { na2->offset = kofs*stride; } } else if (i==ax[0]) { stride0 = stride; if (kofs < 0) { na2->offset = (-kofs)*stride; } } else { SDX_SET_STRIDE(na2->stridx[--k],stride); } stride *= na->shape[i]; } SDX_SET_STRIDE(na2->stridx[nd-2],stride0+stride1); break; case NARRAY_VIEW_T: GetNArrayView(self, na1); na2->data = na1->data; na2->offset = na1->offset; for (i=k=0; i<nd; i++) { if (i != ax[0] && i != ax[1]) { if (SDX_IS_INDEX(na1->stridx[i])) { idx0 = SDX_GET_INDEX(na1->stridx[i]); idx1 = ALLOC_N(size_t, na->shape[i]); for (j=0; j<na->shape[i]; j++) { idx1[j] = idx0[j]; } SDX_SET_INDEX(na2->stridx[k],idx1); } else { na2->stridx[k] = na1->stridx[i]; } k++; } } if (SDX_IS_INDEX(na1->stridx[ax[0]])) { idx0 = SDX_GET_INDEX(na1->stridx[ax[0]]); diag_idx = ALLOC_N(size_t, diag_size); if (SDX_IS_INDEX(na1->stridx[ax[1]])) { idx1 = SDX_GET_INDEX(na1->stridx[ax[1]]); for (j=0; j<diag_size; j++) { diag_idx[j] = idx0[j+k0] + idx1[j+k1]; } } else { stride1 = SDX_GET_STRIDE(na1->stridx[ax[1]]); for (j=0; j<diag_size; j++) { diag_idx[j] = idx0[j+k0] + stride1*(j+k1); } } SDX_SET_INDEX(na2->stridx[nd-2],diag_idx); } else { stride0 = SDX_GET_STRIDE(na1->stridx[ax[0]]); if (SDX_IS_INDEX(na1->stridx[ax[1]])) { idx1 = SDX_GET_INDEX(na1->stridx[ax[1]]); diag_idx = ALLOC_N(size_t, diag_size); for (j=0; j<diag_size; j++) { diag_idx[j] = stride0*(j+k0) + idx1[j+k1]; } SDX_SET_INDEX(na2->stridx[nd-2],diag_idx); } else { stride1 = SDX_GET_STRIDE(na1->stridx[ax[1]]); na2->offset += stride0*k0 + stride1*k1; SDX_SET_STRIDE(na2->stridx[nd-2],stride0+stride1); } } break; } return view; } |
#dot(other) ⇒ Object
Returns dot product.
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# File 'ext/numo/narray/data.c', line 858 static VALUE numo_na_dot(VALUE self, VALUE other) { VALUE test, sym_mulsum; volatile VALUE a1=self, a2=other; ID id_mulsum; narray_t *na1, *na2; id_mulsum = rb_intern("mulsum"); sym_mulsum = ID2SYM(id_mulsum); test = rb_funcall(a1, rb_intern("respond_to?"), 1, sym_mulsum); if (!RTEST(test)) { rb_raise(rb_eNoMethodError,"requires mulsum method for dot method"); } GetNArray(a1,na1); GetNArray(a2,na2); if (na2->ndim > 1) { // insert new axis [ ..., last-1-dim, newaxis*other.ndim, last-dim ] a1 = na_new_dimension_for_dot(a1, na1->ndim-1, na2->ndim-1, 0); // insert & transpose [ newaxis*self.ndim, ..., last-dim, last-1-dim ] a2 = na_new_dimension_for_dot(a2, 0, na1->ndim-1, 1); } return rb_funcall(a1,rb_intern("mulsum"),2,a2,INT2FIX(-1)); } |
#dsplit(indices_or_sections) ⇒ Object
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# File 'lib/numo/narray/extra.rb', line 307 def dsplit(indices_or_sections) split(indices_or_sections, axis:2) end |
#empty? ⇒ Boolean
Returns true if self.size == 0.
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# File 'ext/numo/narray/narray.c', line 715 static VALUE na_empty_p(VALUE self) { narray_t *na; GetNArray(self,na); if (NA_SIZE(na)==0) { return Qtrue; } return Qfalse; } |
#expand_dims(dim) ⇒ Numo::NArray
Expand the shape of an array. Insert a new axis with size=1 at a given dimension.
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# File 'ext/numo/narray/narray.c', line 968 VALUE (VALUE self, VALUE vdim) { int i, j, nd, dim; size_t *shape, *na_shape; stridx_t *stridx, *na_stridx; narray_t *na; narray_view_t *na2; VALUE view; GetNArray(self,na); nd = na->ndim; dim = NUM2INT(vdim); if (dim < -nd-1 || dim > nd) { rb_raise(nary_eDimensionError,"invalid axis (%d for %dD NArray)", dim,nd); } if (dim < 0) { dim += nd+1; } view = na_make_view(self); GetNArrayView(view, na2); shape = ALLOC_N(size_t,nd+1); stridx = ALLOC_N(stridx_t,nd+1); na_shape = na2->base.shape; na_stridx = na2->stridx; for (i=j=0; i<=nd; i++) { if (i==dim) { shape[i] = 1; SDX_SET_STRIDE(stridx[i],0); } else { shape[i] = na_shape[j]; stridx[i] = na_stridx[j]; j++; } } na2->stridx = stridx; xfree(na_stridx); na2->base.shape = shape; if (na_shape != &(na2->base.size)) { xfree(na_shape); } na2->base.ndim++; return view; } |
#flatten ⇒ Object
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# File 'ext/numo/narray/data.c', line 432 VALUE na_flatten(VALUE self) { return na_flatten_dim(self,0); } |
#host_order? ⇒ Boolean Also known as: little_endian?, vacs_order?
Return true if not byte swapped.
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# File 'ext/numo/narray/narray.c', line 1603 VALUE na_host_order_p( VALUE self ) { if (TEST_BYTE_SWAPPED(self)) return Qfalse; return Qtrue; } |
#hsplit(indices_or_sections) ⇒ Object
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# File 'lib/numo/narray/extra.rb', line 303 def hsplit(indices_or_sections) split(indices_or_sections, axis:1) end |
#initialize_copy(other) ⇒ Numo::NArray
Replaces the contents of self with the contents of other narray. Used in dup and clone method.
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# File 'ext/numo/narray/narray.c', line 373 static VALUE na_initialize_copy(VALUE self, VALUE orig) { narray_t *na; GetNArray(orig,na); na_setup(self,NA_NDIM(na),NA_SHAPE(na)); na_store(self,orig); na_copy_flags(orig,self); return self; } |
#inplace ⇒ Numo::NArray
Returns view of narray with inplace flagged.
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# File 'ext/numo/narray/narray.c', line 1615 VALUE na_inplace( VALUE self ) { VALUE view = self; view = na_make_view(self); SET_INPLACE(view); return view; } |
#inplace! ⇒ Numo::NArray
Set inplace flag to self.
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# File 'ext/numo/narray/narray.c', line 1627 VALUE na_inplace_bang( VALUE self ) { SET_INPLACE(self); return self; } |
#inplace? ⇒ Boolean
Return true if inplace flagged.
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# File 'ext/numo/narray/narray.c', line 1644 VALUE na_inplace_p( VALUE self ) { if (TEST_INPLACE(self)) return Qtrue; else return Qfalse; } |
#marshal_dump ⇒ Array
Dump marshal data.
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# File 'ext/numo/narray/narray.c', line 1335 static VALUE nary_marshal_dump(VALUE self) { VALUE a; a = rb_ary_new(); rb_ary_push(a, INT2FIX(1)); // version rb_ary_push(a, na_shape(self)); rb_ary_push(a, INT2FIX(NA_FLAG0(self))); if (CLASS_OF(self) == numo_cRObject) { narray_t *na; VALUE *ptr; size_t offset=0; GetNArray(self,na); if (na->type == NARRAY_VIEW_T) { if (na_check_contiguous(self)==Qtrue) { offset = NA_VIEW_OFFSET(na); } else { self = rb_funcall(self,rb_intern("copy"),0); } } ptr = (VALUE*)na_get_pointer_for_read(self); rb_ary_push(a, rb_ary_new4(NA_SIZE(na), ptr+offset)); } else { rb_ary_push(a, nary_to_binary(self)); } RB_GC_GUARD(self); return a; } |
#marshal_load(data) ⇒ nil
Load marshal data.
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# File 'ext/numo/narray/narray.c', line 1372 static VALUE nary_marshal_load(VALUE self, VALUE a) { VALUE v; if (TYPE(a) != T_ARRAY) { rb_raise(rb_eArgError,"marshal argument should be array"); } if (RARRAY_LEN(a) != 4) { rb_raise(rb_eArgError,"marshal array size should be 4"); } if (RARRAY_AREF(a,0) != INT2FIX(1)) { rb_raise(rb_eArgError,"NArray marshal version %d is not supported " "(only version 1)", NUM2INT(RARRAY_AREF(a,0))); } na_initialize(self,RARRAY_AREF(a,1)); NA_FL0_SET(self,FIX2INT(RARRAY_AREF(a,2))); v = RARRAY_AREF(a,3); if (CLASS_OF(self) == numo_cRObject) { narray_t *na; char *ptr; if (TYPE(v) != T_ARRAY) { rb_raise(rb_eArgError,"RObject content should be array"); } GetNArray(self,na); if (RARRAY_LEN(v) != (long)NA_SIZE(na)) { rb_raise(rb_eArgError,"RObject content size mismatch"); } ptr = na_get_pointer_for_write(self); memcpy(ptr, RARRAY_PTR(v), NA_SIZE(na)*sizeof(VALUE)); } else { nary_store_binary(1,&v,self); if (TEST_BYTE_SWAPPED(self)) { rb_funcall(na_inplace(self),rb_intern("to_host"),0); REVERSE_ENDIAN(self); // correct behavior?? } } RB_GC_GUARD(a); return self; } |
#ndim ⇒ Object Also known as: rank
method: size() – returns the total number of typeents
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# File 'ext/numo/narray/narray.c', line 702 static VALUE na_ndim(VALUE self) { narray_t *na; GetNArray(self,na); return INT2NUM(na->ndim); } |
#out_of_place! ⇒ Numo::NArray Also known as: not_inplace!
Unset inplace flag to self.
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# File 'ext/numo/narray/narray.c', line 1656 VALUE na_out_of_place_bang( VALUE self ) { UNSET_INPLACE(self); return self; } |
#repeat(arg, axis: nil) ⇒ Object
p Numo::NArray.repeat(4) # Numo::Int32#shape= # [3, 3, 3, 3]
p x = Numo::NArray[,[3,4]] # Numo::Int32#shape= # [[1, 2], # [3, 4]]
p x.repeat(2) # Numo::Int32#shape= # [1, 1, 2, 2, 3, 3, 4, 4]
p x.repeat(3,axis:1) # Numo::Int32#shape= # [[1, 1, 1, 2, 2, 2], # [3, 3, 3, 4, 4, 4]]
p x.repeat(,axis:0) # Numo::Int32#shape= # [[1, 2], # [3, 4], # [3, 4]]
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# File 'lib/numo/narray/extra.rb', line 419 def repeat(arg,axis:nil) case axis when Integer axis = check_axis(axis) c = self when NilClass c = self.flatten axis = 0 else raise ArgumentError,"invalid axis" end case arg when Integer if !arg.kind_of?(Integer) || arg<1 raise ArgumentError,"argument should be positive integer" end idx = c.shape[axis].times.map{|i| [i]*arg}.flatten else arg = arg.to_a if arg.size != c.shape[axis] raise ArgumentError,"repeat size shoud be equal to size along axis" end arg.each do |i| if !i.kind_of?(Integer) || i<0 raise ArgumentError,"argument should be non-negative integer" end end idx = arg.each_with_index.map{|a,i| [i]*a}.flatten end ref = [true] * c.ndim ref[axis] = idx c[*ref].copy end |
#reshape(*args) ⇒ Object
private function for reshape
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# File 'ext/numo/narray/data.c', line 266 static VALUE na_reshape(int argc, VALUE *argv, VALUE self) { int i, unfixed=-1; size_t total=1; size_t *shape; //, *shape_save; narray_t *na; VALUE copy; if (argc == 0) { rb_raise(rb_eRuntimeError, "No argrument"); } GetNArray(self,na); if (NA_SIZE(na) == 0) { rb_raise(rb_eRuntimeError, "cannot reshape empty array"); } /* get shape from argument */ shape = ALLOCA_N(size_t,argc); for (i=0; i<argc; ++i) { switch(TYPE(argv[i])) { case T_FIXNUM: total *= shape[i] = NUM2INT(argv[i]); break; case T_NIL: case T_TRUE: unfixed = i; break; default: rb_raise(rb_eArgError,"illegal type"); } } if (unfixed>=0) { if (NA_SIZE(na) % total != 0) rb_raise(rb_eArgError, "Total size size must be divisor"); shape[unfixed] = NA_SIZE(na) / total; } else if (total != NA_SIZE(na)) { rb_raise(rb_eArgError, "Total size must be same"); } copy = rb_funcall(self,rb_intern("copy"),0); GetNArray(copy,na); //shape_save = NA_SHAPE(na); na_setup_shape(na,argc,shape); //if (NA_SHAPE(na) != shape_save) { // xfree(shape_save); //} return copy; } |
#reverse([dim0,dim1,..]) ⇒ Object
Return reversed view along specified dimeinsion
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# File 'ext/numo/narray/narray.c', line 1027 VALUE nary_reverse(int argc, VALUE *argv, VALUE self) { int i, nd; size_t j, n; size_t offset; size_t *idx1, *idx2; ssize_t stride; ssize_t sign; narray_t *na; narray_view_t *na1, *na2; VALUE view; VALUE reduce; reduce = na_reduce_dimension(argc, argv, 1, &self); GetNArray(self,na); nd = na->ndim; view = na_s_allocate_view(CLASS_OF(self)); na_copy_flags(self, view); GetNArrayView(view, na2); na_setup_shape((narray_t*)na2, nd, na->shape); na2->stridx = ALLOC_N(stridx_t,nd); switch(na->type) { case NARRAY_DATA_T: case NARRAY_FILEMAP_T: stride = na_get_elmsz(self); offset = 0; for (i=nd; i--;) { if (na_test_reduce(reduce,i)) { offset += (na->shape[i]-1)*stride; sign = -1; } else { sign = 1; } SDX_SET_STRIDE(na2->stridx[i],stride*sign); stride *= na->shape[i]; } na2->offset = offset; na2->data = self; break; case NARRAY_VIEW_T: GetNArrayView(self, na1); offset = na1->offset; for (i=0; i<nd; i++) { n = na1->base.shape[i]; if (SDX_IS_INDEX(na1->stridx[i])) { idx1 = SDX_GET_INDEX(na1->stridx[i]); idx2 = ALLOC_N(size_t,n); if (na_test_reduce(reduce,i)) { for (j=0; j<n; j++) { idx2[n-1-j] = idx1[j]; } } else { for (j=0; j<n; j++) { idx2[j] = idx1[j]; } } SDX_SET_INDEX(na2->stridx[i],idx2); } else { stride = SDX_GET_STRIDE(na1->stridx[i]); if (na_test_reduce(reduce,i)) { offset += (n-1)*stride; SDX_SET_STRIDE(na2->stridx[i],-stride); } else { na2->stridx[i] = na1->stridx[i]; } } } na2->offset = offset; na2->data = na1->data; break; } return view; } |
#row_major? ⇒ Boolean
Return true if row major.
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# File 'ext/numo/narray/narray.c', line 1581 VALUE na_row_major_p( VALUE self ) { if (TEST_ROW_MAJOR(self)) return Qtrue; else return Qfalse; } |
#shape ⇒ Object
method: shape() – returns shape, array of the size of dimensions
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# File 'ext/numo/narray/narray.c', line 728 static VALUE na_shape(VALUE self) { volatile VALUE v; narray_t *na; size_t i, n, c, s; GetNArray(self,na); n = NA_NDIM(na); if (TEST_COLUMN_MAJOR(self)) { c = n-1; s = -1; } else { c = 0; s = 1; } v = rb_ary_new2(n); for (i=0; i<n; i++) { rb_ary_push(v, SIZET2NUM(na->shape[c])); c += s; } return v; } |
#size ⇒ Object Also known as: length, total
method: size() – returns the total number of typeents
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# File 'ext/numo/narray/narray.c', line 692 static VALUE na_size(VALUE self) { narray_t *na; GetNArray(self,na); return SIZET2NUM(na->size); } |
#split(indices_or_sections, axis: 0) ⇒ Object
p x = Numo::DFloat.new(9).seq # Numo::DFloat#shape= # [0, 1, 2, 3, 4, 5, 6, 7, 8]
pp x.split(3) # [Numo::DFloat(view)#shape= # [0, 1, 2], # Numo::DFloat(view)#shape= # [3, 4, 5], # Numo::DFloat(view)#shape= # [6, 7, 8]]
p x = Numo::DFloat.new(8).seq # Numo::DFloat#shape= # [0, 1, 2, 3, 4, 5, 6, 7]
pp x.split([3, 5, 6, 10]) # [Numo::DFloat(view)#shape= # [0, 1, 2], # Numo::DFloat(view)#shape= # [3, 4], # Numo::DFloat(view)#shape= # [5], # Numo::DFloat(view)#shape= # [6, 7], # Numo::DFloat(view)#shape=[]]
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# File 'lib/numo/narray/extra.rb', line 237 def split(indices_or_sections, axis:0) axis = check_axis(axis) size_axis = shape[axis] case indices_or_sections when Integer div_axis, mod_axis = size_axis.divmod(indices_or_sections) if mod_axis != 0 raise "not equally divide the axis" end refs = [true]*ndim indices_or_sections.times.map do |i| refs[axis] = i*div_axis ... (i+1)*div_axis self[*refs] end when NArray split(indices_or_sections.to_a,axis:axis) when Array refs = [true]*ndim fst = 0 (indices_or_sections + [size_axis]).map do |lst| lst = size_axis if lst > size_axis refs[axis] = (fst < size_axis) ? fst...lst : -1...-1 fst = lst self[*refs] end else raise TypeError,"argument must be Integer or Array" end end |
#store_binary(string, [offset]) ⇒ Integer
Returns a new 1-D array initialized from binary raw data in a string.
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# File 'ext/numo/narray/narray.c', line 1262 static VALUE nary_store_binary(int argc, VALUE *argv, VALUE self) { size_t size, str_len, byte_size, offset; char *ptr; int narg; VALUE vstr, voffset; VALUE velmsz; narray_t *na; narg = rb_scan_args(argc,argv,"11",&vstr,&voffset); str_len = RSTRING_LEN(vstr); if (narg==2) { offset = NUM2SIZET(voffset); if (str_len < offset) { rb_raise(rb_eArgError, "offset is larger than string length"); } str_len -= offset; } else { offset = 0; } GetNArray(self,na); size = NA_SIZE(na); velmsz = rb_const_get(CLASS_OF(self), rb_intern(ELEMENT_BYTE_SIZE)); if (FIXNUM_P(velmsz)) { byte_size = size * NUM2SIZET(velmsz); } else { byte_size = ceil(size * NUM2DBL(velmsz)); } if (byte_size > str_len) { rb_raise(rb_eArgError, "string is too short to store"); } ptr = na_get_pointer_for_write(self); memcpy(ptr, RSTRING_PTR(vstr)+offset, byte_size); return SIZET2NUM(byte_size); } |
#swap_byte ⇒ Object Also known as: hton
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# File 'ext/numo/narray/data.c', line 104 static VALUE nary_swap_byte(VALUE self) { VALUE v; ndfunc_arg_in_t ain[1] = {{Qnil,0}}; ndfunc_arg_out_t aout[1] = {{INT2FIX(0),0}}; ndfunc_t ndf = { iter_swap_byte, FULL_LOOP|NDF_ACCEPT_BYTESWAP, 1, 1, ain, aout }; v = na_ndloop(&ndf, 1, self); if (self!=v) { na_copy_flags(self, v); } REVERSE_ENDIAN(v); return v; } |
#tile(*arg) ⇒ Object
p a = Numo::NArray # Numo::Int32#shape= # [0, 1, 2]
p a.tile(2) # Numo::Int32#shape= # [0, 1, 2, 0, 1, 2]
p a.tile(2,2) # Numo::Int32#shape= # [[0, 1, 2, 0, 1, 2], # [0, 1, 2, 0, 1, 2]]
p a.tile(2,1,2) # Numo::Int32#shape= # [[[0, 1, 2, 0, 1, 2]], # [[0, 1, 2, 0, 1, 2]]]
p b = Numo::NArray[[1, 2], [3, 4]] # Numo::Int32#shape= # [[1, 2], # [3, 4]]
p b.tile(2) # Numo::Int32#shape= # [[1, 2, 1, 2], # [3, 4, 3, 4]]
p b.tile(2,1) # Numo::Int32#shape= # [[1, 2], # [3, 4], # [1, 2], # [3, 4]]
p c = Numo::NArray # Numo::Int32#shape= # [1, 2, 3, 4]
p c.tile(4,1) # Numo::Int32#shape= # [[1, 2, 3, 4], # [1, 2, 3, 4], # [1, 2, 3, 4], # [1, 2, 3, 4]]
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# File 'lib/numo/narray/extra.rb', line 358 def tile(*arg) arg.each do |i| if !i.kind_of?(Integer) || i<1 raise ArgumentError,"argument should be positive integer" end end ns = arg.size nd = self.ndim shp = self.shape new_shp = [] src_shp = [] res_shp = [] (nd-ns).times do new_shp << 1 new_shp << (n = shp.shift) src_shp << :new src_shp << true res_shp << n end (ns-nd).times do new_shp << (m = arg.shift) new_shp << 1 src_shp << :new src_shp << :new res_shp << m end [nd,ns].min.times do new_shp << (m = arg.shift) new_shp << (n = shp.shift) src_shp << :new src_shp << true res_shp << n*m end self.class.new(*new_shp).store(self[*src_shp]).reshape(*res_shp) end |
#to_binary ⇒ String Also known as: to_string
Returns string containing the raw data bytes in NArray.
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# File 'ext/numo/narray/narray.c', line 1307 static VALUE nary_to_binary(VALUE self) { size_t len, offset=0; char *ptr; VALUE str; narray_t *na; GetNArray(self,na); if (na->type == NARRAY_VIEW_T) { if (na_check_contiguous(self)==Qtrue) { offset = NA_VIEW_OFFSET(na); } else { self = rb_funcall(self,rb_intern("copy"),0); } } len = NUM2SIZET(nary_byte_size(self)); ptr = na_get_pointer_for_read(self); str = rb_usascii_str_new(ptr+offset,len); RB_GC_GUARD(self); return str; } |
#to_host ⇒ Object
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# File 'ext/numo/narray/data.c', line 140 static VALUE nary_to_host(VALUE self) { if (TEST_HOST_ORDER(self)) { return self; } return rb_funcall(self, rb_intern("swap_byte"), 0); } |
#to_network ⇒ Object
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# File 'ext/numo/narray/data.c', line 122 static VALUE nary_to_network(VALUE self) { if (TEST_BIG_ENDIAN(self)) { return self; } return rb_funcall(self, rb_intern("swap_byte"), 0); } |
#to_swapped ⇒ Object
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# File 'ext/numo/narray/data.c', line 149 static VALUE nary_to_swapped(VALUE self) { if (TEST_BYTE_SWAPPED(self)) { return self; } return rb_funcall(self, rb_intern("swap_byte"), 0); } |
#to_vacs ⇒ Object
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# File 'ext/numo/narray/data.c', line 131 static VALUE nary_to_vacs(VALUE self) { if (TEST_LITTLE_ENDIAN(self)) { return self; } return rb_funcall(self, rb_intern("swap_byte"), 0); } |
#transpose(*args) ⇒ Object
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# File 'ext/numo/narray/data.c', line 192 VALUE na_transpose(int argc, VALUE *argv, VALUE self) { int ndim, *map, *permute; int i, d; bool is_positive, is_negative; narray_t *na1; GetNArray(self,na1); ndim = na1->ndim; if (ndim < 2) { if (argc > 0) { rb_raise(rb_eArgError, "unnecessary argument for 1-d array"); } return na_make_view(self); } map = ALLOCA_N(int,ndim); if (argc == 0) { for (i=0; i < ndim; i++) { map[i] = ndim-1-i; } return na_transpose_map(self,map); } // with argument if (argc > ndim) { rb_raise(rb_eArgError, "more arguments than ndim"); } for (i=0; i < ndim; i++) { map[i] = i; } permute = ALLOCA_N(int,argc); for (i=0; i < argc; i++) { permute[i] = 0; } is_positive = is_negative = 0; for (i=0; i < argc; i++) { if (TYPE(argv[i]) != T_FIXNUM) { rb_raise(rb_eArgError, "invalid argument"); } d = FIX2INT(argv[i]); if (d >= 0) { if (d >= argc) { rb_raise(rb_eArgError, "out of dimension range"); } if (is_negative) { rb_raise(rb_eArgError, "dimension must be non-negative only or negative only"); } if (permute[d]) { rb_raise(rb_eArgError, "not permutation"); } map[i] = d; permute[d] = 1; is_positive = 1; } else { if (d < -argc) { rb_raise(rb_eArgError, "out of dimension range"); } if (is_positive) { rb_raise(rb_eArgError, "dimension must be non-negative only or negative only"); } if (permute[argc+d]) { rb_raise(rb_eArgError, "not permutation"); } map[ndim-argc+i] = ndim+d; permute[argc+d] = 1; is_negative = 1; } } return na_transpose_map(self,map); } |
#view ⇒ Object
Return view of NArray
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# File 'ext/numo/narray/narray.c', line 901 VALUE na_make_view(VALUE self) { int i, nd; size_t j; size_t *idx1, *idx2; ssize_t stride; narray_t *na; narray_view_t *na1, *na2; volatile VALUE view; GetNArray(self,na); nd = na->ndim; view = na_s_allocate_view(CLASS_OF(self)); na_copy_flags(self, view); GetNArrayView(view, na2); na_setup_shape((narray_t*)na2, nd, na->shape); na2->stridx = ALLOC_N(stridx_t,nd); switch(na->type) { case NARRAY_DATA_T: case NARRAY_FILEMAP_T: stride = na_get_elmsz(self); for (i=nd; i--;) { SDX_SET_STRIDE(na2->stridx[i],stride); stride *= na->shape[i]; } na2->offset = 0; na2->data = self; break; case NARRAY_VIEW_T: GetNArrayView(self, na1); for (i=0; i<nd; i++) { if (SDX_IS_INDEX(na1->stridx[i])) { idx1 = SDX_GET_INDEX(na1->stridx[i]); idx2 = ALLOC_N(size_t,na1->base.shape[i]); for (j=0; j<na1->base.shape[i]; j++) { idx2[j] = idx1[j]; } SDX_SET_INDEX(na2->stridx[i],idx2); } else { na2->stridx[i] = na1->stridx[i]; } } na2->offset = na1->offset; na2->data = na1->data; break; } return view; } |
#vsplit(indices_or_sections) ⇒ Object
p x = Numo::DFloat.new(4,4).seq # Numo::DFloat#shape= # [[0, 1, 2, 3], # [4, 5, 6, 7], # [8, 9, 10, 11], # [12, 13, 14, 15]]
pp x.hsplit(2) # [Numo::DFloat(view)#shape= # [[0, 1], # [4, 5], # [8, 9], # [12, 13]], # Numo::DFloat(view)#shape= # [[2, 3], # [6, 7], # [10, 11], # [14, 15]]]
pp x.hsplit([3, 6]) # [Numo::DFloat(view)#shape= # [[0, 1, 2], # [4, 5, 6], # [8, 9, 10], # [12, 13, 14]], # Numo::DFloat(view)#shape= # [[3], # [7], # [11], # [15]], # Numo::DFloat(view)#shape=[]]
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# File 'lib/numo/narray/extra.rb', line 299 def vsplit(indices_or_sections) split(indices_or_sections, axis:0) end |