8000 MAINT: Chain exceptions in npyio.py by smitgajjar · Pull Request #16218 · numpy/numpy · GitHub
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MAINT: Chain exceptions in npyio.py #16218

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MAINT: Chain exceptions in npyio.py #16218

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25 changes: 15 additions & 10 deletions numpy/lib/npyio.py
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Original file line number Diff line number Diff line change
Expand Up @@ -445,9 +445,10 @@ def load(file, mmap_mode=None, allow_pickle=False, fix_imports=True,
"when allow_pickle=False")
try:
return pickle.load(fid, **pickle_kwargs)
except Exception:
except Exception as e:
raise IOError(
"Failed to interpret file %s as a pickle" % repr(file))
"Failed to interpret file %s as a pickle" % repr(file)
) from None


def _save_dispatcher(file, arr, allow_pickle=None, fix_imports=None):
Expand Down Expand Up @@ -965,8 +966,10 @@ def loadtxt(fname, dtype=float, comments='#', delimiter=None,
else:
fh = iter(fname)
fencoding = getattr(fname, 'encoding', 'latin1')
except TypeError:
raise ValueError('fname must be a string, file handle, or generator')
except TypeError as e:
raise ValueError(
'fname must be a string, file handle, or generator'
) from None

# input may be a python2 io stream
if encoding is not None:
Expand Down Expand Up @@ -1422,10 +1425,11 @@ def first_write(self, v):
for row in X:
try:
v = format % tuple(row) + newline
except TypeError:
except TypeError as e:
raise TypeError("Mismatch between array dtype ('%s') and "
"format specifier ('%s')"
% (str(X.dtype), format))
% (str(X.dtype), format)
) from None
fh.write(v)

if len(footer) > 0:
Expand Down Expand Up @@ -1752,10 +1756,11 @@ def genfromtxt(fname, dtype=float, comments='#', delimiter=None,
fid = fname
fid_ctx = contextlib_nullcontext(fid)
fhd = iter(fid)
except TypeError:
except TypeError as e:
raise TypeError(
"fname must be a string, filehandle, list of strings, "
"or generator. Got %s instead." % type(fname))
"or generator. Got %s instead." % type(fname)
) from None

with fid_ctx:
split_line = LineSplitter(delimiter=delimiter, comments=comments,
Expand Down Expand Up @@ -2049,10 +2054,10 @@ def tobytes_first(x, conv):
for (j, value) in enumerate(current_column):
try:
converter.upgrade(value)
except (ConverterError, ValueError):
except (ConverterError, ValueError) as e:
errmsg += "(occurred line #%i for value '%s')"
errmsg %= (j + 1 + skip_header, value)
raise ConverterError(errmsg)
raise ConverterError(errmsg) from None

# Check that we don't have invalid values
nbinvalid = len(invalid)
Expand Down
0