GVSDS/TransPyC
1
0 Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

修正 main 的 import

Browse Source
This commit is contained in:
TermiNexus committed 2026-08-22 02:35:30 +08:00
1 parent 2f0ebc285b
commit b7b17e0e7b
3467 files changed
+8353 -43756
Download Patch File Download Diff File Expand all files Collapse all files

No files matched your search

Test/SimdTest/.tpv_build/temp/03/03d3ece355d95d76.deps.txt
+1 -1
View File
@@ -1 +1 @@
t c vipermath
t c vipermath _list
Test/SimdTest/.tpv_build/temp/06/067c78e9f121dce3.deps.txt
-1
View File
@@ -1 +0,0 @@
t stdint w32.win32base
Test/SimdTest/.tpv_build/temp/06/06f53cc594b4ac6c.deps.txt
-1
View File
@@ -1 +0,0 @@
t stdint w32.win32base
Test/SimdTest/.tpv_build/temp/0d/0df65b8ed15664b0.deps.txt
-1
View File
@@ -1 +0,0 @@
string t c
Test/SimdTest/.tpv_build/temp/19/19f8024d10c828e8.deps.txt
-1
View File
@@ -1 +0,0 @@
string t c
Test/SimdTest/.tpv_build/temp/1f/1f6617c02fc8899d.deps.txt
-1
View File
@@ -1 +0,0 @@
stdint string stdlib memhub t c
Test/SimdTest/.tpv_build/temp/20/20cd49775c100a38.vpi
-19
View File
@@ -1,19 +0,0 @@
"""Auto-generated Python stub file"""
import t, c
from stdint import *
import memhub
import string
from stdio import snprintf
from . import JsonValue, JSON_NULL, JSON_BOOL, JSON_INT, JSON_FLOAT, JSON_STRING, JSON_ARRAY, JSON_OBJECT
def _write_char(buf: t.CChar | t.CPtr, pos: t.CSizeT, ch: t.CChar) -> t.CSizeT: pass
def _write_str(buf: t.CChar | t.CPtr, pos: t.CSizeT, s: t.CChar | t.CPtr) -> t.CSizeT: pass
def _write_string_escaped(buf: t.CChar | t.CPtr, pos: t.CSizeT, s: t.CChar | t.CPtr) -> t.CSizeT: pass
def _write_value(buf: t.CChar | t.CPtr, pos: t.CSizeT, val: JsonValue | t.CPtr, pool: memhub.MemManager | t.CPtr) -> t.CSizeT: pass
def write(pool: memhub.MemManager | t.CPtr, val: JsonValue | t.CPtr, pretty: bool) -> t.CChar | t.CPtr: pass
Test/SimdTest/.tpv_build/temp/22/22bc0df83b3f0e62.deps.txt
-1
View File
@@ -1 +0,0 @@
t c stdint memhub string viperlib ast.tokens
Test/SimdTest/.tpv_build/temp/24/240a9a4157959a9f.vpi
-35
View File
@@ -1,35 +0,0 @@
"""Auto-generated Python stub file"""
import t, c
from stdint import *
import memhub
import string
from . import JsonValue, JSON_NULL, JSON_BOOL, JSON_INT, JSON_FLOAT, JSON_STRING, JSON_ARRAY, JSON_OBJECT, null, bool_val, int_val, float_val, string_val, array, object
class ParseState:
src: t.CChar | t.CPtr
pos: t.CSizeT
len: t.CSizeT
pool: memhub.MemManager | t.CPtr
def __init__(self, src: t.CChar | t.CPtr, pool: memhub.MemManager | t.CPtr): pass
def _peek(s: ParseState | t.CPtr) -> t.CChar: pass
def _advance(s: ParseState | t.CPtr) -> t.CChar: pass
def _skip_whitespace(s: ParseState | t.CPtr): pass
def _expect(s: ParseState | t.CPtr, ch: t.CChar) -> bool: pass
def _parse_string(s: ParseState | t.CPtr) -> t.CChar | t.CPtr: pass
def _parse_number(s: ParseState | t.CPtr) -> JsonValue | t.CPtr: pass
def _parse_value(s: ParseState | t.CPtr) -> JsonValue | t.CPtr: pass
def _parse_array(s: ParseState | t.CPtr) -> JsonValue | t.CPtr: pass
def _parse_object(s: ParseState | t.CPtr) -> JsonValue | t.CPtr: pass
def parse(pool: memhub.MemManager | t.CPtr, src: t.CChar | t.CPtr) -> JsonValue | t.CPtr: pass
Test/SimdTest/.tpv_build/temp/2b/2b77d783c41d21d1.deps.txt
-1
View File
@@ -1 +0,0 @@
t c string memhub stdint
Test/SimdTest/.tpv_build/temp/32/32cfd766982bc6e7.deps.txt
-1
View File
@@ -1 +0,0 @@
stdio t c
Test/SimdTest/.tpv_build/temp/33/33d64eeb99369a85.deps.txt
-1
View File
@@ -1 +0,0 @@
t c stdint memhub string viperlib llvmlite.__types llvmlite.__values llvmlite.__function llvmlite.__module llvmlite.__builder llvmlite.__verify
Test/SimdTest/.tpv_build/temp/34/3487a256b250bb74.deps.txt
+1 -1
View File
@@ -1 +1 @@
t c
t c _list
Test/SimdTest/.tpv_build/temp/3e/3e775aa83705b119.deps.txt
-1
View File
@@ -1 +0,0 @@
stdint zlib.zdeflate zdeflate zlib.zinflate zinflate zlib.zchecksum zchecksum zlib.zdef zdef zlib.zhuff zhuff stdlib string memhub t c
Test/SimdTest/.tpv_build/temp/3f/3f7c5e78d8652535.deps.txt
-1
View File
@@ -1 +0,0 @@
t c
Test/SimdTest/.tpv_build/temp/40/40c03bc03431ef81.deps.txt
-1
View File
@@ -1 +0,0 @@
t c stdint string stdio viperlib memhub linkedlist llvmlite.__types llvmlite.__function
Test/SimdTest/.tpv_build/temp/43/4337fb260448bbe2.deps.txt
-1
View File
@@ -1 +0,0 @@
t c stdint memhub string ast.base
Test/SimdTest/.tpv_build/temp/45/451745df21e598af.deps.txt
-1
View File
@@ -1 +0,0 @@
stdint zlib.zchecksum zchecksum zlib.zdef zdef zlib.zhuff zhuff string memhub t c
Test/SimdTest/.tpv_build/temp/4d/4dd6b3f1427d1cc5.deps.txt
-1
View File
@@ -1 +0,0 @@
t c stdint memhub string ast.base
Test/SimdTest/.tpv_build/temp/63/63d0e4548b4c4672.deps.txt
-1
View File
@@ -1 +0,0 @@
t c stdint viperlib string memhub stdio stdlib linkedlist
Test/SimdTest/.tpv_build/temp/64/6446627d4f07a1b5.deps.txt
-1
View File
@@ -1 +0,0 @@
t c stdint w32.win32base
Test/SimdTest/.tpv_build/temp/65/657e182b27c2a022.deps.txt
-1
View File
@@ -1 +0,0 @@
t c stdint memhub string ast.base
Test/SimdTest/.tpv_build/temp/6b/6b3bc463fd044545.deps.txt
-1
View File
@@ -1 +0,0 @@
t c stdint string viperlib memhub linkedlist llvmlite.__function llvmlite.__module
Test/SimdTest/.tpv_build/temp/6d/6dde8fc09b24666c.deps.txt
-1
View File
@@ -1 +0,0 @@
t c
Test/SimdTest/.tpv_build/temp/6d/6ddf430432a0e373.vpi
-65
View File
@@ -1,65 +0,0 @@
"""Auto-generated Python stub file"""
import t, c
from stdint import *
import memhub
import string
import viperio
JSON_NULL: t.CDefine = 0
JSON_BOOL: t.CDefine = 1
JSON_INT: t.CDefine = 2
JSON_FLOAT: t.CDefine = 3
JSON_STRING: t.CDefine = 4
JSON_ARRAY: t.CDefine = 5
JSON_OBJECT: t.CDefine = 6
class JsonValue:
vtype: t.CInt
bool_val: t.CInt
int_val: t.CInt64T
float_val: t.CDouble
str_val: t.CChar | t.CPtr
next: 'JsonValue' | t.CPtr
key: t.CChar | t.CPtr
child: 'JsonValue' | t.CPtr
child_count: t.CSizeT
def __new__(self, pool: memhub.MemManager | t.CPtr): pass
def type(self) -> t.CInt: pass
def is_null(self) -> bool: pass
def is_bool(self) -> bool: pass
def is_int(self) -> bool: pass
def is_float(self) -> bool: pass
def is_string(self) -> bool: pass
def is_array(self) -> bool: pass
def is_object(self) -> bool: pass
def as_bool(self) -> bool: pass
def as_int(self) -> t.CInt64T: pass
def as_float(self) -> t.CDouble: pass
def as_string(self) -> t.CChar | t.CPtr: pass
def __len__(self) -> t.CSizeT: pass
def __getitem__(self, key: t.CChar | t.CPtr) -> 'JsonValue' | t.CPtr: pass
def __setitem__(self, key: t.CChar | t.CPtr, val: 'JsonValue' | t.CPtr): pass
def get_item(self, index: t.CSizeT) -> 'JsonValue' | t.CPtr: pass
def _pool_alloc(self, size: t.CSizeT) -> t.CChar | t.CPtr: pass
def _append_child(self, child: 'JsonValue' | t.CPtr): pass
def null(pool: memhub.MemManager | t.CPtr) -> JsonValue | t.CPtr: pass
def bool_val(pool: memhub.MemManager | t.CPtr, val: bool) -> JsonValue | t.CPtr: pass
def int_val(pool: memhub.MemManager | t.CPtr, val: t.CInt64T) -> JsonValue | t.CPtr: pass
def float_val(pool: memhub.MemManager | t.CPtr, val: t.CDouble) -> JsonValue | t.CPtr: pass
def string_val(pool: memhub.MemManager | t.CPtr, val: t.CChar | t.CPtr) -> JsonValue | t.CPtr: pass
def array(pool: memhub.MemManager | t.CPtr) -> JsonValue | t.CPtr: pass
def object(pool: memhub.MemManager | t.CPtr) -> JsonValue | t.CPtr: pass
def array_append(pool: memhub.MemManager | t.CPtr, arr: JsonValue | t.CPtr, item: JsonValue | t.CPtr): pass
def object_set(pool: memhub.MemManager | t.CPtr, obj: JsonValue | t.CPtr, key: t.CChar | t.CPtr, val: JsonValue | t.CPtr): pass
from .__parser import parse
from .__writer import write
Test/SimdTest/.tpv_build/temp/6f/6ff26590374ae6fc.deps.txt
-1
View File
@@ -1 +0,0 @@
t c
Test/SimdTest/.tpv_build/temp/72/72e2d5ccb7cedcf1.deps.txt
-1
View File
@@ -1 +0,0 @@
t stdint w32.win32base
Test/SimdTest/.tpv_build/temp/74/74cd54a2cba56957.deps.txt
-1
View File
@@ -1 +0,0 @@
t c stdint w32.win32process stdlib stdio string
Test/SimdTest/.tpv_build/temp/87/874bac141c97bae9.deps.txt
-1
View File
@@ -1 +0,0 @@
t c stdint string viperlib memhub stdio linkedlist llvmlite.__types
Test/SimdTest/.tpv_build/temp/8e/8ebed83a7817fa0c.deps.txt
+1 -1
View File
@@ -1 +1 @@
stdint t c
stdint t c _list
Test/SimdTest/.tpv_build/temp/90/90921d009fdd674c.deps.txt
-1
View File
@@ -1 +0,0 @@
stdint zlib.zchecksum zchecksum zlib.zhuff zhuff zlib.zdef zdef string memhub t c
Test/SimdTest/.tpv_build/temp/99/995f884b86cf981e.deps.txt
+1 -1
View File
@@ -1 +1 @@
t stdint vqt6._types vqt6._qtcore vqt6._qtwidgets vqt6._qtgui vqt6._qtnetwork
t stdint vqt6._types vqt6._qtcore vqt6._qtwidgets vqt6._qtgui vqt6._qtnetwork _list
Test/SimdTest/.tpv_build/temp/_sha1_map.txt
+10 -12
View File
@@ -1,18 +1,16 @@
aa246c6e6aa30484:includes/atom.vp
6ddf430432a0e373:includes/json/__init__.vp
240a9a4157959a9f:includes/json/__parser.vp
20cd49775c100a38:includes/json/__writer.vp
f9d023d1df2bc9c5:includes/memhub.vp
c3a6aed1f1fb8b1e:includes/numpy/__init__.vp
ac87eb59087b9c33:includes/builtins.vp
2a61eed4abe49e06:includes/memhub.vp
185f39ff5c3b0450:includes/numpy/__init__.vp
f5522571bcce7bcb:includes/stdint.vp
285b6aa29a34754d:includes/stdio.vp
6c658cc728d0bbf4:includes/stdlib.vp
ffaf70367668b227:includes/string.vp
40b053f21c0df07c:includes/string.vp
748d0424e8976fa0:includes/testcheck.vp
c9f4be41ca1cc2b4:includes/viperio.vp
3f7c5e78d8652535:includes/vipermath.vp
6dde8fc09b24666c:includes/vipersimd.vp
fc980acec33d69a7:includes/w32/win32base.vp
bbdf3bbd4c3bc28c:includes/w32/win32console.vp
e0f0afe3caa1e486:includes/_dict.vp
2c175afd85852faf:includes/viperio.vp
0d841163d475941f:includes/vipermath.vp
71d08e9c33520cfa:includes/vipersimd.vp
e710417730391023:includes/w32/win32base.vp
db613a1bd6a3ca26:includes/w32/win32console.vp
7cadfe07e983fd90:includes/_list.vp
90f67f777f23b84b:main.vp
Test/SimdTest/.tpv_build/temp/a4/a44503977f4f5951.deps.txt
+1 -1
View File
@@ -1 +1 @@
t c
t c _list
Test/SimdTest/.tpv_build/temp/a7/a7748ef067f79205.deps.txt
-1
View File
@@ -1 +0,0 @@
t c stdint string viperlib memhub stdio linkedlist llvmlite.__types llvmlite.__values llvmlite.__function
Test/SimdTest/.tpv_build/temp/af/af37c9ab38eea99e.deps.txt
-1
View File
@@ -1 +0,0 @@
t
Test/SimdTest/.tpv_build/temp/b3/b311b47f33281389.deps.txt
+1 -1
View File
@@ -1 +1 @@
t memhub string
t memhub string _list
Test/SimdTest/.tpv_build/temp/b3/b370d93b74bf55cc.deps.txt
-1
View File
@@ -1 +0,0 @@
t c string memhub stdio hashtable
Test/SimdTest/.tpv_build/temp/b5/b543bc1dfb592119.deps.txt
-1
View File
@@ -1 +0,0 @@
t c stdint memhub string ast.base
Test/SimdTest/.tpv_build/temp/b5/b547ac4f380bddb6.deps.txt
-1
View File
@@ -1 +0,0 @@
t c stdint memhub string
Test/SimdTest/.tpv_build/temp/bb/bbdf3bbd4c3bc28c.deps.txt
-1
View File
@@ -1 +0,0 @@
t stdint w32.win32base
Test/SimdTest/.tpv_build/temp/c3/c3a6aed1f1fb8b1e.deps.txt
-1
View File
@@ -1 +0,0 @@
stdint stdlib string vipermath stdio t c memhub
Test/SimdTest/.tpv_build/temp/c3/c3a6aed1f1fb8b1e.vpi
-235
View File
@@ -1,235 +0,0 @@
"""Auto-generated Python stub file"""
from stdint import *
import stdlib
import string
import vipermath
import stdio
import t, c
import memhub
MAX_NDIM: t.CDefine = 4
float64: t.CTypedef = t.CDouble
float32: t.CTypedef = t.CFloat
int64: t.CTypedef = t.CLong
int32: t.CTypedef = t.CInt
uint8: t.CTypedef = t.CUnsignedChar
pi: t.CDefine
e: t.CDefine
@t.Object
class ndarray[T]:
data: T | t.CPtr
shape: t.CArray[t.CSizeT, MAX_NDIM]
strides: t.CArray[t.CSizeT, MAX_NDIM]
ndim: t.CInt
size: t.CSizeT
owns_data: t.CInt
pool: memhub.MemManager | t.CPtr
def __new__(self, pool: memhub.MemManager | t.CPtr, n: t.CSizeT): pass
def __add__(self, other: ndarray[T] | t.CPtr) -> ndarray[T] | t.CPtr: pass
def __sub__(self, other: ndarray[T] | t.CPtr) -> ndarray[T] | t.CPtr: pass
def __mul__(self, other: ndarray[T] | t.CPtr) -> ndarray[T] | t.CPtr: pass
def __truediv__(self, other: ndarray[T] | t.CPtr) -> ndarray[T] | t.CPtr: pass
def __floordiv__(self, other: ndarray[T] | t.CPtr) -> ndarray[T] | t.CPtr: pass
def __mod__(self, other: ndarray[T] | t.CPtr) -> ndarray[T] | t.CPtr: pass
def __neg__(self) -> ndarray[T] | t.CPtr: pass
def __len__(self) -> t.CInt: pass
def at2d(self, row: t.CSizeT, col: t.CSizeT) -> T: pass
def set2d(self, row: t.CSizeT, col: t.CSizeT, val: T): pass
def delete(self): pass
def fill(self, val: T): pass
def copy(self) -> ndarray[T] | t.CPtr: pass
def reshape(self, new_shape: INTPTR, new_ndim: t.CInt) -> ndarray[T] | t.CPtr: pass
def sum(self) -> T: pass
def mean(self) -> T: pass
def min(self) -> T: pass
def max(self) -> T: pass
def argmax(self) -> t.CInt: pass
def argmin(self) -> t.CInt: pass
def dot(self, other: ndarray[T] | t.CPtr) -> T: pass
def T(self) -> ndarray[T] | t.CPtr: pass
def print_arr(self): pass
Float64Array: t.CTypedef = ndarray[t.CDouble]
Float32Array: t.CTypedef = ndarray[t.CFloat]
Int64Array: t.CTypedef = ndarray[t.CLong]
Int32Array: t.CTypedef = ndarray[t.CInt]
Uint8Array: t.CTypedef = ndarray[t.CUnsignedChar]
def _alloc_ndarray(pool: memhub.MemManager | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def _compute_strides(a: ndarray[t.CDouble] | t.CPtr): pass
def _empty_like(a: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def array(pool: memhub.MemManager | t.CPtr, data: t.CDouble | t.CPtr, n: t.CSizeT) -> ndarray[t.CDouble] | t.CPtr: pass
def zeros(pool: memhub.MemManager | t.CPtr, n: t.CSizeT) -> ndarray[t.CDouble] | t.CPtr: pass
def ones(pool: memhub.MemManager | t.CPtr, n: t.CSizeT) -> ndarray[t.CDouble] | t.CPtr: pass
def full(pool: memhub.MemManager | t.CPtr, n: t.CSizeT, val: t.CDouble) -> ndarray[t.CDouble] | t.CPtr: pass
def arange(pool: memhub.MemManager | t.CPtr, start: t.CDouble, stop: t.CDouble, step: t.CDouble) -> ndarray[t.CDouble] | t.CPtr: pass
def linspace(pool: memhub.MemManager | t.CPtr, start: t.CDouble, stop: t.CDouble, num: t.CSizeT) -> ndarray[t.CDouble] | t.CPtr: pass
def empty2d(pool: memhub.MemManager | t.CPtr, rows: t.CSizeT, cols: t.CSizeT) -> ndarray[t.CDouble] | t.CPtr: pass
def zeros2d(pool: memhub.MemManager | t.CPtr, rows: t.CSizeT, cols: t.CSizeT) -> ndarray[t.CDouble] | t.CPtr: pass
def ones2d(pool: memhub.MemManager | t.CPtr, rows: t.CSizeT, cols: t.CSizeT) -> ndarray[t.CDouble] | t.CPtr: pass
def eye(pool: memhub.MemManager | t.CPtr, n: t.CSizeT) -> ndarray[t.CDouble] | t.CPtr: pass
def diag(pool: memhub.MemManager | t.CPtr, vals: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_abs(a: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_sqrt(a: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_exp(a: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_log(a: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_sin(a: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_cos(a: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_tan(a: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_pow(a: ndarray[t.CDouble] | t.CPtr, p: t.CDouble) -> ndarray[t.CDouble] | t.CPtr: pass
def add_scalar(a: ndarray[t.CDouble] | t.CPtr, s: t.CDouble) -> ndarray[t.CDouble] | t.CPtr: pass
def mul_scalar(a: ndarray[t.CDouble] | t.CPtr, s: t.CDouble) -> ndarray[t.CDouble] | t.CPtr: pass
def sub_scalar(a: ndarray[t.CDouble] | t.CPtr, s: t.CDouble) -> ndarray[t.CDouble] | t.CPtr: pass
def div_scalar(a: ndarray[t.CDouble] | t.CPtr, s: t.CDouble) -> ndarray[t.CDouble] | t.CPtr: pass
def matmul(a: ndarray[t.CDouble] | t.CPtr, b: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def dot_product(a: ndarray[t.CDouble] | t.CPtr, b: ndarray[t.CDouble] | t.CPtr) -> t.CDouble: pass
def np_sum(a: ndarray[t.CDouble] | t.CPtr) -> t.CDouble: pass
def np_mean(a: ndarray[t.CDouble] | t.CPtr) -> t.CDouble: pass
def np_min(a: ndarray[t.CDouble] | t.CPtr) -> t.CDouble: pass
def np_max(a: ndarray[t.CDouble] | t.CPtr) -> t.CDouble: pass
def np_argmax(a: ndarray[t.CDouble] | t.CPtr) -> t.CInt: pass
def np_argmin(a: ndarray[t.CDouble] | t.CPtr) -> t.CInt: pass
def var(a: ndarray[t.CDouble] | t.CPtr) -> t.CDouble: pass
def std(a: ndarray[t.CDouble] | t.CPtr) -> t.CDouble: pass
def norm(a: ndarray[t.CDouble] | t.CPtr) -> t.CDouble: pass
def clip(a: ndarray[t.CDouble] | t.CPtr, lo: t.CDouble, hi: t.CDouble) -> ndarray[t.CDouble] | t.CPtr: pass
def concatenate(a: ndarray[t.CDouble] | t.CPtr, b: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def sort_arr(a: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def reverse(a: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_log10(a: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_log2(a: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_floor(a: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_ceil(a: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_round(a: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_sign(a: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_tanh(a: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_sinh(a: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_cosh(a: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_arcsin(a: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_arccos(a: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_arctan(a: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_arctan2(y: ndarray[t.CDouble] | t.CPtr, x: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_degrees(a: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_radians(a: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_isnan(a: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_isinf(a: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_maximum(a: ndarray[t.CDouble] | t.CPtr, b: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_minimum(a: ndarray[t.CDouble] | t.CPtr, b: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def cumsum(a: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def diff(a: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def flatten(a: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def trace(a: ndarray[t.CDouble] | t.CPtr) -> t.CDouble: pass
def outer(a: ndarray[t.CDouble] | t.CPtr, b: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_where(condition: ndarray[t.CDouble] | t.CPtr, x: ndarray[t.CDouble] | t.CPtr, y: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_count_nonzero(a: ndarray[t.CDouble] | t.CPtr) -> t.CInt: pass
def np_all(a: ndarray[t.CDouble] | t.CPtr) -> t.CInt: pass
def np_any(a: ndarray[t.CDouble] | t.CPtr) -> t.CInt: pass
def np_equal(a: ndarray[t.CDouble] | t.CPtr, b: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_not_equal(a: ndarray[t.CDouble] | t.CPtr, b: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_less(a: ndarray[t.CDouble] | t.CPtr, b: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_greater(a: ndarray[t.CDouble] | t.CPtr, b: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_less_equal(a: ndarray[t.CDouble] | t.CPtr, b: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_greater_equal(a: ndarray[t.CDouble] | t.CPtr, b: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def empty(pool: memhub.MemManager | t.CPtr, n: t.CSizeT) -> ndarray[t.CDouble] | t.CPtr: pass
def full2d(pool: memhub.MemManager | t.CPtr, rows: t.CSizeT, cols: t.CSizeT, val: t.CDouble) -> ndarray[t.CDouble] | t.CPtr: pass
def zeros_like(a: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def ones_like(a: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def arange1(pool: memhub.MemManager | t.CPtr, stop: t.CDouble) -> ndarray[t.CDouble] | t.CPtr: pass
def linspace2(pool: memhub.MemManager | t.CPtr, start: t.CDouble, stop: t.CDouble) -> ndarray[t.CDouble] | t.CPtr: pass
def meshgrid(x: ndarray[t.CDouble] | t.CPtr, y: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def det2x2(a: ndarray[t.CDouble] | t.CPtr) -> t.CDouble: pass
def inv2x2(a: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def cross3(a: ndarray[t.CDouble] | t.CPtr, b: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_interp(x: t.CDouble, xp: ndarray[t.CDouble] | t.CPtr, fp: ndarray[t.CDouble] | t.CPtr) -> t.CDouble: pass
def prod(a: ndarray[t.CDouble] | t.CPtr) -> t.CDouble: pass
def median(a: ndarray[t.CDouble] | t.CPtr) -> t.CDouble: pass
def percentile(a: ndarray[t.CDouble] | t.CPtr, q: t.CDouble) -> t.CDouble: pass
Test/SimdTest/.tpv_build/temp/c9/c9d54a4158f7f5a8.deps.txt
-1
View File
@@ -1 +0,0 @@
t c
Test/SimdTest/.tpv_build/temp/c9/c9f4be41ca1cc2b4.deps.txt
-1
View File
@@ -1 +0,0 @@
t c stdint
Test/SimdTest/.tpv_build/temp/d3/d3917d97537f703c.deps.txt
-1
View File
@@ -1 +0,0 @@
t c
Test/SimdTest/.tpv_build/temp/d5/d541ade6afb689a5.deps.txt
-1
View File
@@ -1 +0,0 @@
stdint zlib.zdef zdef memhub t c
Test/SimdTest/.tpv_build/temp/de/de3357cb9182715e.deps.txt
-1
View File
@@ -1 +0,0 @@
t c stdint memhub string ast.tokens ast.base ast.stmts ast.exprs ast.astaux ast.visitor ast.lexer ast.parser ast.parser
Test/SimdTest/.tpv_build/temp/e0/e0f0afe3caa1e486.deps.txt
+1 -1
View File
@@ -1 +1 @@
t c memhub string json stdint
t c memhub string json stdint _dict
Test/SimdTest/.tpv_build/temp/f5/f5d13f1be34f417a.deps.txt
-1
View File
@@ -1 +0,0 @@
t c stdint memhub string ast.tokens
Test/SimdTest/.tpv_build/temp/f6/f6ab8989f3545e83.deps.txt
-1
View File
@@ -1 +0,0 @@
t c viperio stdarg
Test/SimdTest/.tpv_build/temp/f6/f6b51804a0ba8ff0.deps.txt
-1
View File
@@ -1 +0,0 @@
t stdint w32.win32base
Test/SimdTest/.tpv_build/temp/f9/f9d023d1df2bc9c5.deps.txt
-1
View File
@@ -1 +0,0 @@
t c stdint string atom viperio stdio stdlib
Test/SimdTest/.tpv_build/temp/f9/f9d023d1df2bc9c5.vpi
-97
View File
@@ -1,97 +0,0 @@
"""Auto-generated Python stub file"""
import t, c
from stdint import *
import string
import atom
import viperio
import stdio
import stdlib
MEMHUB_ALIGN: t.CDefine = 8
MEMSLAB_MIN_BLOCK: t.CDefine = 16
MEMSLAB_BITMAP_BYTES: t.CDefine = 256
MEMBUDDY_MIN_BLOCK: t.CDefine = 32
MEMBUDDY_MAX_ORDERS: t.CDefine = 32
MEMBUDDY_HEADER_SIZE: t.CDefine = 8
def _align_up(val: t.CSizeT, align: t.CSizeT) -> t.CSizeT: pass
def _largest_pow2_le(val: t.CSizeT) -> t.CSizeT: pass
def _block_size_at_order(order: t.CInt) -> t.CSizeT: pass
@t.CVTable
class MemManager:
__provides__: list[str]
base: t.CVoid | t.CPtr
size: t.CSizeT
def __init__(self, base: t.CVoid | t.CPtr, size: t.CSizeT): pass
def alloc(self, size: t.CSizeT) -> t.CVoid | t.CPtr: pass
def free(self, ptr: t.CVoid | t.CPtr) -> t.CInt: pass
def reset(self) -> t.CInt: pass
def calloc(self, count: t.CSizeT, size: t.CSizeT) -> t.CVoid | t.CPtr: pass
def realloc(self, ptr: t.CVoid | t.CPtr, new_size: t.CSizeT) -> t.CVoid | t.CPtr: pass
def __enter__(self) -> 'MemManager' | t.CPtr: pass
def __exit__(self): pass
def alloc_buf(self, capacity: t.CSizeT) -> viperio.Buf | t.CPtr: pass
class MemPool(MemManager):
offset: t.CSizeT
high_water: t.CSizeT
def __init__(self, base: t.CVoid | t.CPtr, size: t.CSizeT): pass
def alloc(self, size: t.CSizeT) -> t.CVoid | t.CPtr: pass
def free(self, ptr: t.CVoid | t.CPtr) -> t.CInt: pass
def reset(self) -> t.CInt: pass
class MemSlab(MemManager):
block_size: t.CSizeT
block_count: t.CSizeT
used_count: t.CSizeT
free_list: t.CVoid | t.CPtr
alloc_map: t.CUInt8T | t.CPtr
alloc_map_size: t.CSizeT
usable: t.CVoid | t.CPtr
usable_size: t.CSizeT
def __init__(self, base: t.CVoid | t.CPtr, size: t.CSizeT, block_size: t.CSizeT): pass
def alloc(self, size: t.CSizeT) -> t.CVoid | t.CPtr: pass
def free(self, ptr: t.CVoid | t.CPtr) -> t.CInt: pass
def reset(self) -> t.CInt: pass
class MemBuddy(MemManager):
__provides__: list[str]
max_order: t.CInt
free_lists: t.CUInt64T | t.CPtr
lock_val: t.CVolatile | t.CInt
usable: t.CVoid | t.CPtr
usable_size: t.CSizeT
chk_stack: t.CUInt64T | t.CPtr
chk_cap: t.CSizeT
chk_depth: t.CSizeT
chk_base: t.CVoid | t.CPtr
def __init__(self, base: t.CVoid | t.CPtr, size: t.CSizeT): pass
def mark(self) -> t.CSizeT: pass
def reset_to(self, mark: t.CSizeT): pass
def reset_all(self): pass
def _fl_push(self, order: t.CInt, block: t.CVoid | t.CPtr): pass
def _fl_pop(self, order: t.CInt) -> t.CVoid | t.CPtr: pass
def _fl_find_and_remove(self, order: t.CInt, target: t.CVoid | t.CPtr) -> t.CInt: pass
def _buddy_of(self, block: t.CVoid | t.CPtr, order: t.CInt) -> t.CVoid | t.CPtr: pass
def _order_for_size(self, size: t.CSizeT) -> t.CInt: pass
def _split_to_order(self, to_order: t.CInt) -> t.CVoid | t.CPtr: pass
def _coalesce(self, block: t.CVoid | t.CPtr, order: t.CInt): pass
def _is_valid_ptr(self, ptr: t.CVoid | t.CPtr) -> t.CInt: pass
def _lock(self): pass
def _unlock(self): pass
def alloc(self, size: t.CSizeT) -> t.CVoid | t.CPtr: pass
def free(self, ptr: t.CVoid | t.CPtr) -> t.CInt: pass
def reset(self) -> t.CInt: pass
def realloc(self, ptr: t.CVoid | t.CPtr, new_size: t.CSizeT) -> t.CVoid | t.CPtr: pass
@property
def mem_size(self) -> t.CSizeT: pass
def stats(self) -> t.CSizeT: pass
def free_count(self) -> t.CSizeT: pass
def free_bytes(self) -> t.CSizeT: pass
def used_bytes(self) -> t.CSizeT: pass
def dump_stats(self, label: t.CChar | t.CPtr): pass
def self_check(self) -> t.CInt: pass
Test/SimdTest/.tpv_build/temp/f9/f9e36e2cd6fa659f.deps.txt
-1
View File
@@ -1 +0,0 @@
t c stdint string viperlib memhub linkedlist llvmlite.__types
Test/SimdTest/.tpv_build/temp/fc/fc980acec33d69a7.deps.txt
-1
View File
@@ -1 +0,0 @@
t stdint
Test/SimdTest/.tpv_build/temp/fd/fde6db0747bdd959.deps.txt
-1
View File
@@ -1 +0,0 @@
t c stdint memhub string ast.tokens ast.base ast.exprs ast.stmts ast.astaux ast.lexer
Test/SimdTest/.tpv_build/temp/ff/ffaf70367668b227.deps.txt
-1
View File
@@ -1 +0,0 @@
stdint t c
Test/SimdTest/output/3f7c5e78d8652535.deps.json
-1
View File
@@ -1 +0,0 @@
{"memhub": "04e5fe47ff2af528", "stdio": "285b6aa29a34754d", "vipermath": "3f7c5e78d8652535", "stdlib": "6c658cc728d0bbf4", "vipersimd": "6dde8fc09b24666c", "testcheck": "748d0424e8976fa0", "main": "90f67f777f23b84b", "string": "928c0ff6d8c69ec9", "atom": "aa246c6e6aa30484", "w32.win32console": "bbdf3bbd4c3bc28c", "win32console": "bbdf3bbd4c3bc28c", "numpy.__init__": "c3a6aed1f1fb8b1e", "__init__": "c3a6aed1f1fb8b1e", "numpy": "c3a6aed1f1fb8b1e", "viperio": "c9f4be41ca1cc2b4", "stdint": "f5522571bcce7bcb", "w32.win32base": "fc980acec33d69a7", "win32base": "fc980acec33d69a7"}
Test/SimdTest/output/6dde8fc09b24666c.deps.json
-1
View File
@@ -1 +0,0 @@
{"memhub": "04e5fe47ff2af528", "stdio": "285b6aa29a34754d", "vipermath": "3f7c5e78d8652535", "stdlib": "6c658cc728d0bbf4", "vipersimd": "6dde8fc09b24666c", "testcheck": "748d0424e8976fa0", "main": "90f67f777f23b84b", "string": "928c0ff6d8c69ec9", "atom": "aa246c6e6aa30484", "w32.win32console": "bbdf3bbd4c3bc28c", "win32console": "bbdf3bbd4c3bc28c", "numpy.__init__": "c3a6aed1f1fb8b1e", "__init__": "c3a6aed1f1fb8b1e", "numpy": "c3a6aed1f1fb8b1e", "viperio": "c9f4be41ca1cc2b4", "stdint": "f5522571bcce7bcb", "w32.win32base": "fc980acec33d69a7", "win32base": "fc980acec33d69a7"}
Test/SimdTest/output/90f67f777f23b84b.deps.json
+1 -1
View File
@@ -1 +1 @@
{"memhub": "04e5fe47ff2af528", "stdio": "285b6aa29a34754d", "vipermath": "3f7c5e78d8652535", "stdlib": "6c658cc728d0bbf4", "vipersimd": "6dde8fc09b24666c", "testcheck": "748d0424e8976fa0", "string": "928c0ff6d8c69ec9", "atom": "aa246c6e6aa30484", "w32.win32console": "bbdf3bbd4c3bc28c", "win32console": "bbdf3bbd4c3bc28c", "numpy.__init__": "c3a6aed1f1fb8b1e", "__init__": "c3a6aed1f1fb8b1e", "numpy": "c3a6aed1f1fb8b1e", "viperio": "c9f4be41ca1cc2b4", "stdint": "f5522571bcce7bcb", "w32.win32base": "fc980acec33d69a7", "win32base": "fc980acec33d69a7"}
{"vipermath": "0d841163d475941f", "numpy.__init__": "185f39ff5c3b0450", "__init__": "185f39ff5c3b0450", "numpy": "185f39ff5c3b0450", "memhub": "2408ce147bac090b", "stdio": "285b6aa29a34754d", "viperio": "2c175afd85852faf", "string": "4c39369ffedaddac", "stdlib": "6c658cc728d0bbf4", "vipersimd": "71d08e9c33520cfa", "testcheck": "748d0424e8976fa0", "atom": "aa246c6e6aa30484", "w32.win32console": "bbdf3bbd4c3bc28c", "win32console": "bbdf3bbd4c3bc28c", "stdint": "f5522571bcce7bcb", "w32.win32base": "fc980acec33d69a7", "win32base": "fc980acec33d69a7"}
Test/SimdTest/output/_shared_sym_includes.pickle
BIN
View File
Binary file not shown.
Test/SimdTest/output/aa246c6e6aa30484.deps.json
+1 -1
View File
@@ -1 +1 @@
{"memhub": "04e5fe47ff2af528", "stdio": "285b6aa29a34754d", "vipermath": "3f7c5e78d8652535", "stdlib": "6c658cc728d0bbf4", "vipersimd": "6dde8fc09b24666c", "testcheck": "748d0424e8976fa0", "main": "90f67f777f23b84b", "string": "928c0ff6d8c69ec9", "atom": "aa246c6e6aa30484", "w32.win32console": "bbdf3bbd4c3bc28c", "win32console": "bbdf3bbd4c3bc28c", "numpy.__init__": "c3a6aed1f1fb8b1e", "__init__": "c3a6aed1f1fb8b1e", "numpy": "c3a6aed1f1fb8b1e", "viperio": "c9f4be41ca1cc2b4", "stdint": "f5522571bcce7bcb", "w32.win32base": "fc980acec33d69a7", "win32base": "fc980acec33d69a7"}
{"vipermath": "0d841163d475941f", "numpy.__init__": "185f39ff5c3b0450", "__init__": "185f39ff5c3b0450", "numpy": "185f39ff5c3b0450", "memhub": "2408ce147bac090b", "stdio": "285b6aa29a34754d", "viperio": "2c175afd85852faf", "string": "4c39369ffedaddac", "stdlib": "6c658cc728d0bbf4", "vipersimd": "71d08e9c33520cfa", "testcheck": "748d0424e8976fa0", "main": "90f67f777f23b84b", "atom": "aa246c6e6aa30484", "w32.win32console": "bbdf3bbd4c3bc28c", "win32console": "bbdf3bbd4c3bc28c", "stdint": "f5522571bcce7bcb", "w32.win32base": "fc980acec33d69a7", "win32base": "fc980acec33d69a7"}
Test/SimdTest/output/c3a6aed1f1fb8b1e.deps.json
-1
View File
@@ -1 +0,0 @@
{"memhub": "04e5fe47ff2af528", "stdio": "285b6aa29a34754d", "vipermath": "3f7c5e78d8652535", "stdlib": "6c658cc728d0bbf4", "vipersimd": "6dde8fc09b24666c", "testcheck": "748d0424e8976fa0", "main": "90f67f777f23b84b", "string": "928c0ff6d8c69ec9", "atom": "aa246c6e6aa30484", "w32.win32console": "bbdf3bbd4c3bc28c", "win32console": "bbdf3bbd4c3bc28c", "numpy.__init__": "c3a6aed1f1fb8b1e", "__init__": "c3a6aed1f1fb8b1e", "numpy": "c3a6aed1f1fb8b1e", "viperio": "c9f4be41ca1cc2b4", "stdint": "f5522571bcce7bcb", "w32.win32base": "fc980acec33d69a7", "win32base": "fc980acec33d69a7"}
Test/SimdTest/output/c9f4be41ca1cc2b4.deps.json
-1
View File
@@ -1 +0,0 @@
{"memhub": "04e5fe47ff2af528", "stdio": "285b6aa29a34754d", "vipermath": "3f7c5e78d8652535", "stdlib": "6c658cc728d0bbf4", "vipersimd": "6dde8fc09b24666c", "testcheck": "748d0424e8976fa0", "main": "90f67f777f23b84b", "string": "928c0ff6d8c69ec9", "atom": "aa246c6e6aa30484", "w32.win32console": "bbdf3bbd4c3bc28c", "win32console": "bbdf3bbd4c3bc28c", "numpy.__init__": "c3a6aed1f1fb8b1e", "__init__": "c3a6aed1f1fb8b1e", "numpy": "c3a6aed1f1fb8b1e", "viperio": "c9f4be41ca1cc2b4", "stdint": "f5522571bcce7bcb", "w32.win32base": "fc980acec33d69a7", "win32base": "fc980acec33d69a7"}
Test/SimdTest/temp/3f7c5e78d8652535.stub.ll.dep
View File
Whitespace-only changes.
Test/SimdTest/temp/3f7c5e78d8652535.vpi
-128
View File
@@ -1,128 +0,0 @@
"""
Auto-generated Python stub file from vipermath.vp
Module: vipermath
"""
import t, c
U_M_PI: t.CDefine = 3.14159265358979323846
U_M_E: t.CDefine = 2.71828182845904523536
U_M_PI_2: t.CDefine = 1.57079632679489661923
U_M_PI_4: t.CDefine = 0.78539816339744830962
U_M_1_PI: t.CDefine = 0.31830988618379067154
U_M_2_PI: t.CDefine = 0.63661977236758134308
U_M_LN2: t.CDefine = 0.69314718055994530942
U_M_LN10: t.CDefine = 2.30258509299404568402
U_M_2_SQRT_PI: t.CDefine = 1.77245385090551602730
def radians(degrees: t.CDouble) -> t.CDouble: pass
def degrees(radians: t.CDouble) -> t.CDouble: pass
def sin(x: t.CDouble) -> t.CDouble: pass
def cos(x: t.CDouble) -> t.CDouble: pass
def tan(x: t.CDouble) -> t.CDouble: pass
def asin(x: t.CDouble) -> t.CDouble: pass
def acos(x: t.CDouble) -> t.CDouble: pass
def _atan_core(x: t.CDouble) -> t.CDouble: pass
def atan(x: t.CDouble) -> t.CDouble: pass
def atan2(y: t.CDouble, x: t.CDouble) -> t.CDouble: pass
def sinh(x: t.CDouble) -> t.CDouble: pass
def cosh(x: t.CDouble) -> t.CDouble: pass
def tanh(x: t.CDouble) -> t.CDouble: pass
def exp(x: t.CDouble) -> t.CDouble: pass
def log(x: t.CDouble) -> t.CDouble: pass
def sqrt(x: t.CDouble) -> t.CDouble: pass
def abs(x: t.CInt) -> t.CInt: pass
def fabs(x: t.CDouble) -> t.CDouble: pass
def labs(x: t.CLong) -> t.CLong: pass
def factorial(n: t.CInt) -> t.CDouble: pass
def combination(n: t.CInt, k: t.CInt) -> t.CDouble: pass
def permutation(n: t.CInt, k: t.CInt) -> t.CDouble: pass
def pow(x: t.CDouble, y: t.CDouble) -> t.CDouble: pass
def powf(x: t.CDouble, y: t.CDouble) -> t.CDouble: pass
def cbrt(x: t.CDouble) -> t.CDouble: pass
def hypot(x: t.CDouble, y: t.CDouble) -> t.CDouble: pass
def floor(x: t.CDouble) -> t.CDouble: pass
def ceil(x: t.CDouble) -> t.CDouble: pass
def round(x: t.CDouble) -> t.CDouble: pass
def trunc(x: t.CDouble) -> t.CDouble: pass
def fmod(x: t.CDouble, y: t.CDouble) -> t.CDouble: pass
def fmodf(x: float, y: float) -> float: pass
def modf(x: t.CDouble, iptr: t.CDouble | t.CPtr) -> t.CDouble: pass
def log10(x: t.CDouble) -> t.CDouble: pass
def log2(x: t.CDouble) -> t.CDouble: pass
def exp2(x: t.CDouble) -> t.CDouble: pass
def expm1(x: t.CDouble) -> t.CDouble: pass
def log1p(x: t.CDouble) -> t.CDouble: pass
def asinh(x: t.CDouble) -> t.CDouble: pass
def acosh(x: t.CDouble) -> t.CDouble: pass
def atanh(x: t.CDouble) -> t.CDouble: pass
def gamma(x: t.CDouble) -> t.CDouble: pass
def erf(x: t.CDouble) -> t.CDouble: pass
def erfc(x: t.CDouble) -> t.CDouble: pass
def sqrtf(x: t.CFloat) -> t.CFloat: pass
def sinf(x: t.CFloat) -> t.CFloat: pass
def cosf(x: t.CFloat) -> t.CFloat: pass
def tanf(x: t.CFloat) -> t.CFloat: pass
def fabsf(x: t.CFloat) -> t.CFloat: pass
def floorf(x: t.CFloat) -> t.CFloat: pass
def ceilf(x: t.CFloat) -> t.CFloat: pass
class _U(t.CUnion):
d: t.CDouble
u: t.CUInt64T
def isnan(x: t.CDouble) -> t.CStatic | t.CInt: pass
def isinf(x: t.CDouble) -> t.CStatic | t.CInt: pass
Test/SimdTest/temp/6dde8fc09b24666c.stub.ll.dep
View File
Whitespace-only changes.
Test/SimdTest/temp/6dde8fc09b24666c.vpi
-91
View File
@@ -1,91 +0,0 @@
"""
Auto-generated Python stub file from vipersimd.vp
Module: vipersimd
"""
import t, c
def simd_add4d(a: t.CPtr, b: t.CPtr, out: t.CPtr) -> t.CVoid: pass
def simd_sub4d(a: t.CPtr, b: t.CPtr, out: t.CPtr) -> t.CVoid: pass
def simd_mul4d(a: t.CPtr, b: t.CPtr, out: t.CPtr) -> t.CVoid: pass
def simd_div4d(a: t.CPtr, b: t.CPtr, out: t.CPtr) -> t.CVoid: pass
def simd_sqrt4d(a: t.CPtr, out: t.CPtr) -> t.CVoid: pass
def simd_neg4d(a: t.CPtr, out: t.CPtr) -> t.CVoid: pass
def simd_abs4d(a: t.CPtr, out: t.CPtr) -> t.CVoid: pass
def simd_max4d(a: t.CPtr, b: t.CPtr, out: t.CPtr) -> t.CVoid: pass
def simd_min4d(a: t.CPtr, b: t.CPtr, out: t.CPtr) -> t.CVoid: pass
def simd_mul_scalar4d(a: t.CPtr, scalar: t.CPtr, out: t.CPtr) -> t.CVoid: pass
def simd_add_scalar4d(a: t.CPtr, scalar: t.CPtr, out: t.CPtr) -> t.CVoid: pass
def simd_hsum4d(a: t.CPtr, out: t.CPtr) -> t.CVoid: pass
def simd_dot4d(a: t.CPtr, b: t.CPtr, out: t.CPtr) -> t.CVoid: pass
def simd_fma4d(a: t.CPtr, b: t.CPtr, c_val: t.CPtr, out: t.CPtr) -> t.CVoid: pass
def simd_add4f(a: t.CPtr, b: t.CPtr, out: t.CPtr) -> t.CVoid: pass
def simd_sub4f(a: t.CPtr, b: t.CPtr, out: t.CPtr) -> t.CVoid: pass
def simd_mul4f(a: t.CPtr, b: t.CPtr, out: t.CPtr) -> t.CVoid: pass
def simd_div4f(a: t.CPtr, b: t.CPtr, out: t.CPtr) -> t.CVoid: pass
def simd_add_array(a: t.CPtr, b: t.CPtr, out: t.CPtr, n: t.CSizeT) -> t.CVoid: pass
def simd_sub_array(a: t.CPtr, b: t.CPtr, out: t.CPtr, n: t.CSizeT) -> t.CVoid: pass
def simd_mul_array(a: t.CPtr, b: t.CPtr, out: t.CPtr, n: t.CSizeT) -> t.CVoid: pass
def simd_div_array(a: t.CPtr, b: t.CPtr, out: t.CPtr, n: t.CSizeT) -> t.CVoid: pass
def simd_sqrt_array(a: t.CPtr, out: t.CPtr, n: t.CSizeT) -> t.CVoid: pass
def simd_abs_array(a: t.CPtr, out: t.CPtr, n: t.CSizeT) -> t.CVoid: pass
def simd_neg_array(a: t.CPtr, out: t.CPtr, n: t.CSizeT) -> t.CVoid: pass
def simd_dot_array(a: t.CPtr, b: t.CPtr, n: t.CSizeT, out: t.CPtr) -> t.CVoid: pass
def simd_sqrt(x: t.CDouble) -> t.CDouble: pass
def simd_fabs(x: t.CDouble) -> t.CDouble: pass
def simd_floor(x: t.CDouble) -> t.CDouble: pass
def simd_ceil(x: t.CDouble) -> t.CDouble: pass
def simd_round(x: t.CDouble) -> t.CDouble: pass
def simd_trunc(x: t.CDouble) -> t.CDouble: pass
def simd_fma(a: t.CDouble, b: t.CDouble, c_val: t.CDouble) -> t.CDouble: pass
def simd_copysign(mag: t.CDouble, sign: t.CDouble) -> t.CDouble: pass
def simd_neg(x: t.CDouble) -> t.CDouble: pass
def simd_minnum(a: t.CDouble, b: t.CDouble) -> t.CDouble: pass
def simd_maxnum(a: t.CDouble, b: t.CDouble) -> t.CDouble: pass
def simd_exp(x: t.CDouble) -> t.CDouble: pass
def simd_log(x: t.CDouble) -> t.CDouble: pass
def simd_sin(x: t.CDouble) -> t.CDouble: pass
def simd_cos(x: t.CDouble) -> t.CDouble: pass
def simd_pow(x: t.CDouble, y: t.CDouble) -> t.CDouble: pass
Test/SimdTest/temp/_phase1_manifest.json
+1 -1
View File
@@ -1 +1 @@
{"d:\\Users\\TermiNexus\\Desktop\\TransPyC\\Test\\SimdTest\\App\\main.vp": {"sha1": "90f67f777f23b84b", "mtime": 1784566611.8616376, "size": 17408}, "d:\\Users\\TermiNexus\\Desktop\\TransPyC\\includes\\atom.vp": {"sha1": "aa246c6e6aa30484", "mtime": 1785389628.701967, "size": 1198}, "d:\\Users\\TermiNexus\\Desktop\\TransPyC\\includes\\memhub.vp": {"sha1": "04e5fe47ff2af528", "mtime": 1786093335.1900027, "size": 27855}, "d:\\Users\\TermiNexus\\Desktop\\TransPyC\\includes\\numpy\\__init__.vp": {"sha1": "c3a6aed1f1fb8b1e", "mtime": 1784446436.2910569, "size": 39111}, "d:\\Users\\TermiNexus\\Desktop\\TransPyC\\includes\\stdint.vp": {"sha1": "f5522571bcce7bcb", "mtime": 1785563642.3805652, "size": 4356}, "d:\\Users\\TermiNexus\\Desktop\\TransPyC\\includes\\stdio.vp": {"sha1": "285b6aa29a34754d", "mtime": 1785332415.1829746, "size": 561}, "d:\\Users\\TermiNexus\\Desktop\\TransPyC\\includes\\stdlib.vp": {"sha1": "6c658cc728d0bbf4", "mtime": 1785750602.5446548, "size": 413}, "d:\\Users\\TermiNexus\\Desktop\\TransPyC\\includes\\string.vp": {"sha1": "928c0ff6d8c69ec9", "mtime": 1786032947.9330952, "size": 11557}, "d:\\Users\\TermiNexus\\Desktop\\TransPyC\\includes\\testcheck.vp": {"sha1": "748d0424e8976fa0", "mtime": 1785332415.20287, "size": 1919}, "d:\\Users\\TermiNexus\\Desktop\\TransPyC\\includes\\viperio.vp": {"sha1": "c9f4be41ca1cc2b4", "mtime": 1782812279.506002, "size": 1556}, "d:\\Users\\TermiNexus\\Desktop\\TransPyC\\includes\\vipermath.vp": {"sha1": "3f7c5e78d8652535", "mtime": 1781532528.2518907, "size": 15412}, "d:\\Users\\TermiNexus\\Desktop\\TransPyC\\includes\\vipersimd.vp": {"sha1": "6dde8fc09b24666c", "mtime": 1785318562.31538, "size": 15568}, "d:\\Users\\TermiNexus\\Desktop\\TransPyC\\includes\\w32\\win32base.vp": {"sha1": "fc980acec33d69a7", "mtime": 1785332415.2228394, "size": 2653}, "d:\\Users\\TermiNexus\\Desktop\\TransPyC\\includes\\w32\\win32console.vp": {"sha1": "bbdf3bbd4c3bc28c", "mtime": 1781200703.5338137, "size": 5604}}
{"d:\\Users\\TermiNexus\\Desktop\\TransPyC\\Test\\SimdTest\\App\\main.vp": {"sha1": "90f67f777f23b84b", "mtime": 1786196139.8334105, "size": 17408}, "d:\\Users\\TermiNexus\\Desktop\\TransPyC\\includes\\atom.vp": {"sha1": "aa246c6e6aa30484", "mtime": 1785389628.701967, "size": 1198}, "d:\\Users\\TermiNexus\\Desktop\\TransPyC\\includes\\memhub.vp": {"sha1": "2408ce147bac090b", "mtime": 1786323167.9697752, "size": 33121}, "d:\\Users\\TermiNexus\\Desktop\\TransPyC\\includes\\numpy\\__init__.vp": {"sha1": "185f39ff5c3b0450", "mtime": 1786178582.3689485, "size": 39247}, "d:\\Users\\TermiNexus\\Desktop\\TransPyC\\includes\\stdint.vp": {"sha1": "f5522571bcce7bcb", "mtime": 1785563642.3805652, "size": 4356}, "d:\\Users\\TermiNexus\\Desktop\\TransPyC\\includes\\stdio.vp": {"sha1": "285b6aa29a34754d", "mtime": 1785332415.1829746, "size": 561}, "d:\\Users\\TermiNexus\\Desktop\\TransPyC\\includes\\stdlib.vp": {"sha1": "6c658cc728d0bbf4", "mtime": 1785750602.5446548, "size": 413}, "d:\\Users\\TermiNexus\\Desktop\\TransPyC\\includes\\string.vp": {"sha1": "4c39369ffedaddac", "mtime": 1786188859.6154988, "size": 12277}, "d:\\Users\\TermiNexus\\Desktop\\TransPyC\\includes\\testcheck.vp": {"sha1": "748d0424e8976fa0", "mtime": 1785332415.20287, "size": 1919}, "d:\\Users\\TermiNexus\\Desktop\\TransPyC\\includes\\viperio.vp": {"sha1": "2c175afd85852faf", "mtime": 1786320035.0415876, "size": 1685}, "d:\\Users\\TermiNexus\\Desktop\\TransPyC\\includes\\vipermath.vp": {"sha1": "0d841163d475941f", "mtime": 1786193728.6869502, "size": 15615}, "d:\\Users\\TermiNexus\\Desktop\\TransPyC\\includes\\vipersimd.vp": {"sha1": "71d08e9c33520cfa", "mtime": 1786176404.994234, "size": 16080}, "d:\\Users\\TermiNexus\\Desktop\\TransPyC\\includes\\w32\\win32base.vp": {"sha1": "fc980acec33d69a7", "mtime": 1785332415.2228394, "size": 2653}, "d:\\Users\\TermiNexus\\Desktop\\TransPyC\\includes\\w32\\win32console.vp": {"sha1": "bbdf3bbd4c3bc28c", "mtime": 1781200703.5338137, "size": 5604}}
Test/SimdTest/temp/_sha1_map.txt
+6 -6
View File
@@ -1,14 +1,14 @@
04e5fe47ff2af528:includes/memhub.vp
0d841163d475941f:includes/vipermath.vp
185f39ff5c3b0450:includes/numpy\__init__.vp
2408ce147bac090b:includes/memhub.vp
285b6aa29a34754d:includes/stdio.vp
3f7c5e78d8652535:includes/vipermath.vp
2c175afd85852faf:includes/viperio.vp
4c39369ffedaddac:includes/string.vp
6c658cc728d0bbf4:includes/stdlib.vp
6dde8fc09b24666c:includes/vipersimd.vp
71d08e9c33520cfa:includes/vipersimd.vp
748d0424e8976fa0:includes/testcheck.vp
90f67f777f23b84b:main.vp
928c0ff6d8c69ec9:includes/string.vp
aa246c6e6aa30484:includes/atom.vp
bbdf3bbd4c3bc28c:includes/w32\win32console.vp
c3a6aed1f1fb8b1e:includes/numpy\__init__.vp
c9f4be41ca1cc2b4:includes/viperio.vp
f5522571bcce7bcb:includes/stdint.vp
fc980acec33d69a7:includes/w32\win32base.vp
Test/SimdTest/temp/c3a6aed1f1fb8b1e.stub.ll.dep
View File
Whitespace-only changes.
Test/SimdTest/temp/c3a6aed1f1fb8b1e.vpi
-240
View File
@@ -1,240 +0,0 @@
"""
Auto-generated Python stub file from numpy.__init__.vp
Module: numpy.__init__
"""
from stdint import *
import stdlib
import string
import vipermath
import stdio
import t, c
import memhub
MAX_NDIM: t.CDefine = 4
float64: t.CTypedef = t.CDouble
float32: t.CTypedef = t.CFloat
int64: t.CTypedef = t.CLong
int32: t.CTypedef = t.CInt
uint8: t.CTypedef = t.CUnsignedChar
pi: t.CDefine = 3.14159265358979323846
e: t.CDefine = 2.71828182845904523536
@t.Object
class ndarray[T]:
data: T | t.CPtr
shape: t.CArray[t.CSizeT, MAX_NDIM]
strides: t.CArray[t.CSizeT, MAX_NDIM]
ndim: t.CInt
size: t.CSizeT
owns_data: t.CInt
pool: memhub.MemManager | t.CPtr
def __new__(self: ndarray, pool: memhub.MemManager | t.CPtr, n: t.CSizeT) -> t.CInt: pass
def __add__(self: ndarray, other: ndarray[T] | t.CPtr) -> ndarray[T] | t.CPtr: pass
def __sub__(self: ndarray, other: ndarray[T] | t.CPtr) -> ndarray[T] | t.CPtr: pass
def __mul__(self: ndarray, other: ndarray[T] | t.CPtr) -> ndarray[T] | t.CPtr: pass
def __truediv__(self: ndarray, other: ndarray[T] | t.CPtr) -> ndarray[T] | t.CPtr: pass
def __floordiv__(self: ndarray, other: ndarray[T] | t.CPtr) -> ndarray[T] | t.CPtr: pass
def __mod__(self: ndarray, other: ndarray[T] | t.CPtr) -> ndarray[T] | t.CPtr: pass
def __neg__(self: ndarray) -> ndarray[T] | t.CPtr: pass
def __len__(self: ndarray) -> t.CInt: pass
def at2d(self: ndarray, row: t.CSizeT, col: t.CSizeT) -> T: pass
def set2d(self: ndarray, row: t.CSizeT, col: t.CSizeT, val: T) -> t.CInt: pass
def delete(self: ndarray) -> t.CInt: pass
def fill(self: ndarray, val: T) -> t.CInt: pass
def copy(self: ndarray) -> ndarray[T] | t.CPtr: pass
def reshape(self: ndarray, new_shape: INTPTR, new_ndim: t.CInt) -> ndarray[T] | t.CPtr: pass
def sum(self: ndarray) -> T: pass
def mean(self: ndarray) -> T: pass
def min(self: ndarray) -> T: pass
def max(self: ndarray) -> T: pass
def argmax(self: ndarray) -> t.CInt: pass
def argmin(self: ndarray) -> t.CInt: pass
def dot(self: ndarray, other: ndarray[T] | t.CPtr) -> T: pass
def T(self: ndarray) -> ndarray[T] | t.CPtr: pass
def print_arr(self: ndarray) -> t.CInt: pass
Float64Array: t.CTypedef = ndarray[t.CDouble]
Float32Array: t.CTypedef = ndarray[t.CFloat]
Int64Array: t.CTypedef = ndarray[t.CLong]
Int32Array: t.CTypedef = ndarray[t.CInt]
Uint8Array: t.CTypedef = ndarray[t.CUnsignedChar]
def _alloc_ndarray(pool: memhub.MemManager | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def _compute_strides(a: ndarray[t.CDouble] | t.CPtr) -> t.CInt: pass
def _empty_like(a: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def array(pool: memhub.MemManager | t.CPtr, data: t.CDouble | t.CPtr, n: t.CSizeT) -> ndarray[t.CDouble] | t.CPtr: pass
def zeros(pool: memhub.MemManager | t.CPtr, n: t.CSizeT) -> ndarray[t.CDouble] | t.CPtr: pass
def ones(pool: memhub.MemManager | t.CPtr, n: t.CSizeT) -> ndarray[t.CDouble] | t.CPtr: pass
def full(pool: memhub.MemManager | t.CPtr, n: t.CSizeT, val: t.CDouble) -> ndarray[t.CDouble] | t.CPtr: pass
def arange(pool: memhub.MemManager | t.CPtr, start: t.CDouble, stop: t.CDouble, step: t.CDouble) -> ndarray[t.CDouble] | t.CPtr: pass
def linspace(pool: memhub.MemManager | t.CPtr, start: t.CDouble, stop: t.CDouble, num: t.CSizeT) -> ndarray[t.CDouble] | t.CPtr: pass
def empty2d(pool: memhub.MemManager | t.CPtr, rows: t.CSizeT, cols: t.CSizeT) -> ndarray[t.CDouble] | t.CPtr: pass
def zeros2d(pool: memhub.MemManager | t.CPtr, rows: t.CSizeT, cols: t.CSizeT) -> ndarray[t.CDouble] | t.CPtr: pass
def ones2d(pool: memhub.MemManager | t.CPtr, rows: t.CSizeT, cols: t.CSizeT) -> ndarray[t.CDouble] | t.CPtr: pass
def eye(pool: memhub.MemManager | t.CPtr, n: t.CSizeT) -> ndarray[t.CDouble] | t.CPtr: pass
def diag(pool: memhub.MemManager | t.CPtr, vals: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_abs(a: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_sqrt(a: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_exp(a: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_log(a: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_sin(a: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_cos(a: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_tan(a: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_pow(a: ndarray[t.CDouble] | t.CPtr, p: t.CDouble) -> ndarray[t.CDouble] | t.CPtr: pass
def add_scalar(a: ndarray[t.CDouble] | t.CPtr, s: t.CDouble) -> ndarray[t.CDouble] | t.CPtr: pass
def mul_scalar(a: ndarray[t.CDouble] | t.CPtr, s: t.CDouble) -> ndarray[t.CDouble] | t.CPtr: pass
def sub_scalar(a: ndarray[t.CDouble] | t.CPtr, s: t.CDouble) -> ndarray[t.CDouble] | t.CPtr: pass
def div_scalar(a: ndarray[t.CDouble] | t.CPtr, s: t.CDouble) -> ndarray[t.CDouble] | t.CPtr: pass
def matmul(a: ndarray[t.CDouble] | t.CPtr, b: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def dot_product(a: ndarray[t.CDouble] | t.CPtr, b: ndarray[t.CDouble] | t.CPtr) -> t.CDouble: pass
def np_sum(a: ndarray[t.CDouble] | t.CPtr) -> t.CDouble: pass
def np_mean(a: ndarray[t.CDouble] | t.CPtr) -> t.CDouble: pass
def np_min(a: ndarray[t.CDouble] | t.CPtr) -> t.CDouble: pass
def np_max(a: ndarray[t.CDouble] | t.CPtr) -> t.CDouble: pass
def np_argmax(a: ndarray[t.CDouble] | t.CPtr) -> t.CInt: pass
def np_argmin(a: ndarray[t.CDouble] | t.CPtr) -> t.CInt: pass
def var(a: ndarray[t.CDouble] | t.CPtr) -> t.CDouble: pass
def std(a: ndarray[t.CDouble] | t.CPtr) -> t.CDouble: pass
def norm(a: ndarray[t.CDouble] | t.CPtr) -> t.CDouble: pass
def clip(a: ndarray[t.CDouble] | t.CPtr, lo: t.CDouble, hi: t.CDouble) -> ndarray[t.CDouble] | t.CPtr: pass
def concatenate(a: ndarray[t.CDouble] | t.CPtr, b: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def sort_arr(a: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def reverse(a: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_log10(a: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_log2(a: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_floor(a: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_ceil(a: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_round(a: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_sign(a: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_tanh(a: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_sinh(a: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_cosh(a: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_arcsin(a: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_arccos(a: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_arctan(a: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_arctan2(y: ndarray[t.CDouble] | t.CPtr, x: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_degrees(a: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_radians(a: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_isnan(a: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_isinf(a: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_maximum(a: ndarray[t.CDouble] | t.CPtr, b: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_minimum(a: ndarray[t.CDouble] | t.CPtr, b: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def cumsum(a: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def diff(a: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def flatten(a: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def trace(a: ndarray[t.CDouble] | t.CPtr) -> t.CDouble: pass
def outer(a: ndarray[t.CDouble] | t.CPtr, b: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_where(condition: ndarray[t.CDouble] | t.CPtr, x: ndarray[t.CDouble] | t.CPtr, y: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_count_nonzero(a: ndarray[t.CDouble] | t.CPtr) -> t.CInt: pass
def np_all(a: ndarray[t.CDouble] | t.CPtr) -> t.CInt: pass
def np_any(a: ndarray[t.CDouble] | t.CPtr) -> t.CInt: pass
def np_equal(a: ndarray[t.CDouble] | t.CPtr, b: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_not_equal(a: ndarray[t.CDouble] | t.CPtr, b: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_less(a: ndarray[t.CDouble] | t.CPtr, b: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_greater(a: ndarray[t.CDouble] | t.CPtr, b: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_less_equal(a: ndarray[t.CDouble] | t.CPtr, b: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_greater_equal(a: ndarray[t.CDouble] | t.CPtr, b: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def empty(pool: memhub.MemManager | t.CPtr, n: t.CSizeT) -> ndarray[t.CDouble] | t.CPtr: pass
def full2d(pool: memhub.MemManager | t.CPtr, rows: t.CSizeT, cols: t.CSizeT, val: t.CDouble) -> ndarray[t.CDouble] | t.CPtr: pass
def zeros_like(a: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def ones_like(a: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def arange1(pool: memhub.MemManager | t.CPtr, stop: t.CDouble) -> ndarray[t.CDouble] | t.CPtr: pass
def linspace2(pool: memhub.MemManager | t.CPtr, start: t.CDouble, stop: t.CDouble) -> ndarray[t.CDouble] | t.CPtr: pass
def meshgrid(x: ndarray[t.CDouble] | t.CPtr, y: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def det2x2(a: ndarray[t.CDouble] | t.CPtr) -> t.CDouble: pass
def inv2x2(a: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def cross3(a: ndarray[t.CDouble] | t.CPtr, b: ndarray[t.CDouble] | t.CPtr) -> ndarray[t.CDouble] | t.CPtr: pass
def np_interp(x: t.CDouble, xp: ndarray[t.CDouble] | t.CPtr, fp: ndarray[t.CDouble] | t.CPtr) -> t.CDouble: pass
def prod(a: ndarray[t.CDouble] | t.CPtr) -> t.CDouble: pass
def median(a: ndarray[t.CDouble] | t.CPtr) -> t.CDouble: pass
def percentile(a: ndarray[t.CDouble] | t.CPtr, q: t.CDouble) -> t.CDouble: pass
Test/SimdTest/temp/c9f4be41ca1cc2b4.stub.ll.dep
-1
View File
@@ -1 +0,0 @@
f5522571bcce7bcb
Test/SimdTest/temp/c9f4be41ca1cc2b4.vpi
-22
View File
@@ -1,22 +0,0 @@
"""
Auto-generated Python stub file from viperio.vp
Module: viperio
"""
import t, c
from stdint import *
class Buf:
data: t.CChar | t.CPtr
length: t.CSizeT
capacity: t.CSizeT
owned: bool
def __init__(self: Buf, data: t.CChar | t.CPtr, capacity: t.CSizeT, length: t.CSizeT = 0, owned: bool = False) -> t.CInt: pass
def clear(self: Buf) -> t.CInt: pass
def write(self: Buf, src: t.CChar | t.CPtr, count: t.CSizeT) -> t.CSizeT: pass
def cstr(self: Buf) -> t.CChar | t.CPtr: pass
def reset(self: Buf) -> t.CInt: pass
def __enter__(self: Buf) -> 'Buf' | t.CPtr: pass
def __exit__(self: Buf) -> t.CInt: pass
def free(self: Buf) -> t.CInt: pass