ꦫꦣꦺꦤ꧀ꦄꦤ꧀ꦠꦱꦺꦤ

PATH: opt / cloudlinux / venv / lib / python3.11 / site-packages / numpy / typing / tests / data / pass

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)

[-] dtype.py [open]
[-] ndarray_misc.py [open]
[+] ..
[-] multiarray.py [open]
[-] literal.py [open]
[-] arrayprint.py [open]
[-] index_tricks.py [open]
[+] __pycache__
[-] arrayterator.py [open]
[-] lib_utils.py [open]
[-] ufunc_config.py [open]
[-] flatiter.py [open]
[-] fromnumeric.py [open]
[-] array_like.py [open]
[-] random.py [open]
[-] ufuncs.py [open]
[-] simple_py3.py [open]
[-] mod.py [open]
[-] einsumfunc.py [open]
[-] arithmetic.py [open]
[-] ufunclike.py [open]
[-] numerictypes.py [open]
[-] warnings_and_errors.py [open]
[-] array_constructors.py [open]
[-] bitwise_ops.py [open]
[-] numeric.py [open]
[-] modules.py [open]
[-] simple.py [open]
[-] scalars.py [open]
[-] ndarray_shape_manipulation.py [open]
[-] comparisons.py [open]
[-] lib_version.py [open]
[-] ndarray_conversion.py [open]