Description:
I encountered an error in the to_cstyle function due to the deprecated usage of np.int, which is no longer supported since NumPy 1.20. Below are the details of the issue:
Code Snippet:
def to_cstyle(data, integer=True):
#Convert an array to C style basket, not to be used for very large array. size > options['threshold'] will lead to ...
if(integer):
data = np.array(data, dtype=np.int).flatten()
else:
data = np.array(data).flatten()
s = np.array2string(data, separator=',')
s = s.replace("\n","").replace("\r","").replace(' ','')
s = s.replace(',', ', ')
s = s.replace('(', '[').replace(')', ']')
return s.replace('[', '{').replace(']', '}')
Error Message:
"`np.int` was a deprecated alias for the builtin `int`. To avoid this error in existing code, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. The aliases was originally deprecated in NumPy 1.20;"
Proposed Solution:
def to_cstyle(data, integer=True):
#Convert an array to C style basket, not to be used for very large array. size > options['threshold'] will lead to ...
if(integer):
data = np.array(data, dtype=np.int32).flatten()
else:
data = np.array(data).flatten()
s = np.array2string(data, separator=',')
s = s.replace("\n","").replace("\r","").replace(' ','')
s = s.replace(',', ', ')
s = s.replace('(', '[').replace(')', ']')
return s.replace('[', '{').replace(']', '}')
Description: I encountered an error in the
to_cstyle
function due to the deprecated usage ofnp.int
, which is no longer supported since NumPy 1.20. Below are the details of the issue:Code Snippet:
Error Message:
Proposed Solution: