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Files and Folders in: //opt/cloudlinux/venv/lib/python3.11/site-packages/numpy/typing/tests/data/pass/

NameTypeSizeLast ModifiedActions
__pycache__ Directory - -
arithmetic.py File 7455 bytes April 17 2025 13:10:58.
array_constructors.py File 2419 bytes April 17 2025 13:10:58.
array_like.py File 916 bytes April 17 2025 13:10:58.
arrayprint.py File 766 bytes April 17 2025 13:10:58.
arrayterator.py File 393 bytes April 17 2025 13:10:58.
bitwise_ops.py File 970 bytes April 17 2025 13:10:58.
comparisons.py File 2992 bytes April 17 2025 13:10:58.
dtype.py File 1069 bytes April 17 2025 13:10:58.
einsumfunc.py File 1370 bytes April 17 2025 13:10:58.
flatiter.py File 174 bytes April 17 2025 13:10:58.
fromnumeric.py File 3742 bytes April 17 2025 13:10:58.
index_tricks.py File 1492 bytes April 17 2025 13:10:58.
lib_utils.py File 420 bytes April 17 2025 13:10:58.
lib_version.py File 299 bytes April 17 2025 13:10:58.
literal.py File 1331 bytes April 17 2025 13:10:58.
mod.py File 1578 bytes April 17 2025 13:10:58.
modules.py File 595 bytes April 17 2025 13:10:58.
multiarray.py File 1331 bytes April 17 2025 13:10:58.
ndarray_conversion.py File 1626 bytes April 17 2025 13:10:58.
ndarray_misc.py File 2715 bytes April 17 2025 13:10:58.
ndarray_shape_manipulation.py File 640 bytes April 17 2025 13:10:58.
numeric.py File 1490 bytes April 17 2025 13:10:58.
numerictypes.py File 750 bytes April 17 2025 13:10:58.
random.py File 61881 bytes April 17 2025 13:10:58.
scalars.py File 3479 bytes April 17 2025 13:10:58.
simple.py File 2676 bytes April 17 2025 13:10:58.
simple_py3.py File 96 bytes April 17 2025 13:10:58.
ufunc_config.py File 1120 bytes April 17 2025 13:10:58.
ufunclike.py File 1039 bytes April 17 2025 13:10:58.
ufuncs.py File 462 bytes April 17 2025 13:10:58.
warnings_and_errors.py File 150 bytes April 17 2025 13:10:58.

Reading 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)

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