AlkantarClanX12
Current Path : /opt/cloudlinux/venv/lib/python3.11/site-packages/numpy/typing/tests/data/pass/ |
Current File : //opt/cloudlinux/venv/lib/python3.11/site-packages/numpy/typing/tests/data/pass/scalars.py |
import sys import datetime as dt import pytest import numpy as np b = np.bool_() u8 = np.uint64() i8 = np.int64() f8 = np.float64() c16 = np.complex128() U = np.str_() S = np.bytes_() # Construction class D: def __index__(self) -> int: return 0 class C: def __complex__(self) -> complex: return 3j class B: def __int__(self) -> int: return 4 class A: def __float__(self) -> float: return 4.0 np.complex64(3j) np.complex64(A()) np.complex64(C()) np.complex128(3j) np.complex128(C()) np.complex128(None) np.complex64("1.2") np.complex128(b"2j") np.int8(4) np.int16(3.4) np.int32(4) np.int64(-1) np.uint8(B()) np.uint32() np.int32("1") np.int64(b"2") np.float16(A()) np.float32(16) np.float64(3.0) np.float64(None) np.float32("1") np.float16(b"2.5") np.uint64(D()) np.float32(D()) np.complex64(D()) np.bytes_(b"hello") np.bytes_("hello", 'utf-8') np.bytes_("hello", encoding='utf-8') np.str_("hello") np.str_(b"hello", 'utf-8') np.str_(b"hello", encoding='utf-8') # Array-ish semantics np.int8().real np.int16().imag np.int32().data np.int64().flags np.uint8().itemsize * 2 np.uint16().ndim + 1 np.uint32().strides np.uint64().shape # Time structures np.datetime64() np.datetime64(0, "D") np.datetime64(0, b"D") np.datetime64(0, ('ms', 3)) np.datetime64("2019") np.datetime64(b"2019") np.datetime64("2019", "D") np.datetime64(np.datetime64()) np.datetime64(dt.datetime(2000, 5, 3)) np.datetime64(dt.date(2000, 5, 3)) np.datetime64(None) np.datetime64(None, "D") np.timedelta64() np.timedelta64(0) np.timedelta64(0, "D") np.timedelta64(0, ('ms', 3)) np.timedelta64(0, b"D") np.timedelta64("3") np.timedelta64(b"5") np.timedelta64(np.timedelta64(2)) np.timedelta64(dt.timedelta(2)) np.timedelta64(None) np.timedelta64(None, "D") np.void(1) np.void(np.int64(1)) np.void(True) np.void(np.bool_(True)) np.void(b"test") np.void(np.bytes_("test")) np.void(object(), [("a", "O"), ("b", "O")]) np.void(object(), dtype=[("a", "O"), ("b", "O")]) # Protocols i8 = np.int64() u8 = np.uint64() f8 = np.float64() c16 = np.complex128() b_ = np.bool_() td = np.timedelta64() U = np.str_("1") S = np.bytes_("1") AR = np.array(1, dtype=np.float64) int(i8) int(u8) int(f8) int(b_) int(td) int(U) int(S) int(AR) with pytest.warns(np.ComplexWarning): int(c16) float(i8) float(u8) float(f8) float(b_) float(td) float(U) float(S) float(AR) with pytest.warns(np.ComplexWarning): float(c16) complex(i8) complex(u8) complex(f8) complex(c16) complex(b_) complex(td) complex(U) complex(AR) # Misc c16.dtype c16.real c16.imag c16.real.real c16.real.imag c16.ndim c16.size c16.itemsize c16.shape c16.strides c16.squeeze() c16.byteswap() c16.transpose() # Aliases np.string_() np.byte() np.short() np.intc() np.intp() np.int_() np.longlong() np.ubyte() np.ushort() np.uintc() np.uintp() np.uint() np.ulonglong() np.half() np.single() np.double() np.float_() np.longdouble() np.longfloat() np.csingle() np.singlecomplex() np.cdouble() np.complex_() np.cfloat() np.clongdouble() np.clongfloat() np.longcomplex() b.item() i8.item() u8.item() f8.item() c16.item() U.item() S.item() b.tolist() i8.tolist() u8.tolist() f8.tolist() c16.tolist() U.tolist() S.tolist() b.ravel() i8.ravel() u8.ravel() f8.ravel() c16.ravel() U.ravel() S.ravel() b.flatten() i8.flatten() u8.flatten() f8.flatten() c16.flatten() U.flatten() S.flatten() b.reshape(1) i8.reshape(1) u8.reshape(1) f8.reshape(1) c16.reshape(1) U.reshape(1) S.reshape(1)