如果我打算通过f2py将它们传递给布尔NumPy数组，应该如何键入Fortran变量？我已经尝试了integer*1和logical*1，但是它们都表明该数组已复制。
例如，如果我编译文件foo.f95，其中包含：
subroutine foo(x, n)
logical*1 x(n)
!f2py intent(in) x
!f2py intent(hide), depend(x) :: n=shape(x,0)
...
end subroutine
使用
f2py -c -m foo foo.f90 -DF2PY_REPORT_ON_ARRAY_COPY=1并运行类似的内容：import numpy as np
import foo
x = np.random.randn(100) < 0
foo.foo(x)
它打印
copied an array: size=100, elsize=1
如果将
logical*1更改为integer*1，则会得到相同的结果。 Fortran文件中布尔数组的正确类型是什么，以便不复制该数组？请注意，这不是内存连续性的问题，因为数组是一维的-
foo.foo(np.asfortranarray(x))打印相同的复制消息。 最佳答案
从一些实验（*）来看，似乎Python / f2py将np.int8视为与logical*1兼容，而np.bool或np.bool8出于某种原因。将print *, "(fort) x = ", x插入foo.f90后，我们得到：
>>> foo.foo( np.array( [ True, False, False ], dtype=np.bool ) )
copied an array: size=3, elsize=1
(fort) x = T F F
>>> foo.foo( np.array( [ False, True, False ], dtype=np.bool8 ) )
copied an array: size=3, elsize=1
(fort) x = F T F
>>> foo.foo( np.array( [ False, False, True ], dtype=np.int8 ) ) # no copy
(fort) x = F F T
由于
True和False只是映射为1和0，因此在Python端使用int8数组可能会很方便。（*）一些实验
在这里，我将f2py意向注释更改为
inout，以查看是否可以从Fortran端修改数组。foo.f90：
subroutine foo(x, n)
use iso_c_binding
implicit none
integer n
logical*1 x( n )
! logical x( n )
! logical(c_bool) x( n )
!f2py intent(inout) x
!f2py intent(hide), depend(x) :: n=shape(x,0)
print *, "(fort) x = ", x
print *, "(fort) sizeof(x(1)) = ", sizeof(x(1))
print *, "(fort) resetting x(:) to true"
x(:) = .true.
end subroutine
test.py：
import numpy as np
import foo
for T in [ np.bool, np.bool8,
np.int, np.int8, np.int32, np.int64,
np.uint, np.uint8, np.uint32, np.uint64,
np.dtype('b'), np.dtype('int8'), np.dtype('int32') ]:
print( "-------------------------" )
print( "dtype =", T )
x = np.array( [ True, False, True ], dtype=T )
print( "input x =", x )
try:
foo.foo( x )
print( "output x =", x )
except:
print( "failed" )
logical*1结果：-------------------------
dtype = <class 'bool'>
input x = [ True False True]
failed
-------------------------
dtype = <class 'numpy.bool_'>
input x = [ True False True]
failed
-------------------------
dtype = <class 'int'>
input x = [1 0 1]
failed
-------------------------
dtype = <class 'numpy.int8'>
input x = [1 0 1]
(fort) x = T F T
(fort) sizeof(x(1)) = 1
(fort) resetting x(:) to true
output x = [1 1 1]
-------------------------
dtype = <class 'numpy.int32'>
input x = [1 0 1]
failed
-------------------------
dtype = <class 'numpy.int64'>
input x = [1 0 1]
failed
-------------------------
dtype = <class 'numpy.uint64'>
input x = [1 0 1]
failed
-------------------------
dtype = <class 'numpy.uint8'>
input x = [1 0 1]
(fort) x = T F T
(fort) sizeof(x(1)) = 1
(fort) resetting x(:) to true
output x = [1 1 1]
-------------------------
dtype = <class 'numpy.uint32'>
input x = [1 0 1]
failed
-------------------------
dtype = <class 'numpy.uint64'>
input x = [1 0 1]
failed
-------------------------
dtype = int8
input x = [1 0 1]
(fort) x = T F T
(fort) sizeof(x(1)) = 1
(fort) resetting x(:) to true
output x = [1 1 1]
-------------------------
dtype = int8
input x = [1 0 1]
(fort) x = T F T
(fort) sizeof(x(1)) = 1
(fort) resetting x(:) to true
output x = [1 1 1]
-------------------------
dtype = int32
input x = [1 0 1]
failed
logical的结果（默认种类）：-------------------------
dtype = <class 'bool'>
input x = [ True False True]
failed
-------------------------
dtype = <class 'numpy.bool_'>
input x = [ True False True]
failed
-------------------------
dtype = <class 'int'>
input x = [1 0 1]
failed
-------------------------
dtype = <class 'numpy.int8'>
input x = [1 0 1]
failed
-------------------------
dtype = <class 'numpy.int32'>
input x = [1 0 1]
(fort) x = T F T
(fort) sizeof(x(1)) = 4
(fort) resetting x(:) to true
output x = [1 1 1]
-------------------------
dtype = <class 'numpy.int64'>
input x = [1 0 1]
failed
-------------------------
dtype = <class 'numpy.uint64'>
input x = [1 0 1]
failed
-------------------------
dtype = <class 'numpy.uint8'>
input x = [1 0 1]
failed
-------------------------
dtype = <class 'numpy.uint32'>
input x = [1 0 1]
(fort) x = T F T
(fort) sizeof(x(1)) = 4
(fort) resetting x(:) to true
output x = [1 1 1]
-------------------------
dtype = <class 'numpy.uint64'>
input x = [1 0 1]
failed
-------------------------
dtype = int8
input x = [1 0 1]
failed
-------------------------
dtype = int8
input x = [1 0 1]
failed
-------------------------
dtype = int32
input x = [1 0 1]
(fort) x = T F T
(fort) sizeof(x(1)) = 4
(fort) resetting x(:) to true
output x = [1 1 1]
logical(c_bool)的结果（通过iso_c_binding）：-------------------------
dtype = <class 'bool'>
input x = [ True False True]
failed
-------------------------
dtype = <class 'numpy.bool_'>
input x = [ True False True]
failed
-------------------------
dtype = <class 'int'>
input x = [1 0 1]
failed
-------------------------
dtype = <class 'numpy.int8'>
input x = [1 0 1]
failed
-------------------------
dtype = <class 'numpy.int32'>
input x = [1 0 1]
(fort) x = T F F
(fort) sizeof(x(1)) = 1
(fort) resetting x(:) to true
output x = [65793 0 1]
-------------------------
dtype = <class 'numpy.int64'>
input x = [1 0 1]
failed
-------------------------
dtype = <class 'numpy.uint64'>
input x = [1 0 1]
failed
-------------------------
dtype = <class 'numpy.uint8'>
input x = [1 0 1]
failed
-------------------------
dtype = <class 'numpy.uint32'>
input x = [1 0 1]
(fort) x = T F F
(fort) sizeof(x(1)) = 1
(fort) resetting x(:) to true
output x = [65793 0 1]
-------------------------
dtype = <class 'numpy.uint64'>
input x = [1 0 1]
failed
-------------------------
dtype = int8
input x = [1 0 1]
failed
-------------------------
dtype = int8
input x = [1 0 1]
failed
-------------------------
dtype = int32
input x = [1 0 1]
(fort) x = T F F
(fort) sizeof(x(1)) = 1
(fort) resetting x(:) to true
output x = [65793 0 1]
由于某种原因，最后一个
logical(c_bool)不能与上述用法一起使用...（f2py似乎将logical(c_bool)视为4个字节，而gfortran则将其视为1个字节，因此有些不一致...）