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authordefault-303 <ajayds2001@gmail.com>2021-05-26 07:29:49 +0530
committerdefault-303 <ajayds2001@gmail.com>2021-05-26 07:29:49 +0530
commit115ed1d8d5432ff4307d1e07819fec33bb72755c (patch)
tree96819ebf197f11f6f1c2237daf2b6544a1923498 /numpy
parentb3e54cc7ea0808642829b9aa71fa8e51dcc6050e (diff)
downloadnumpy-115ed1d8d5432ff4307d1e07819fec33bb72755c.tar.gz
MAINT: Removed suitable unused variables shown in LGTM
Diffstat (limited to 'numpy')
-rw-r--r--numpy/core/code_generators/generate_numpy_api.py3
-rw-r--r--numpy/distutils/system_info.py4
-rwxr-xr-xnumpy/f2py/crackfortran.py5
-rw-r--r--numpy/lib/format.py1
-rw-r--r--numpy/lib/index_tricks.py1
-rw-r--r--numpy/linalg/lapack_lite/fortran.py2
-rw-r--r--numpy/linalg/linalg.py2
-rw-r--r--numpy/ma/core.py2
-rw-r--r--numpy/ma/extras.py1
-rw-r--r--numpy/ma/mrecords.py2
10 files changed, 2 insertions, 21 deletions
diff --git a/numpy/core/code_generators/generate_numpy_api.py b/numpy/core/code_generators/generate_numpy_api.py
index 7997135bb..37975966f 100644
--- a/numpy/core/code_generators/generate_numpy_api.py
+++ b/numpy/core/code_generators/generate_numpy_api.py
@@ -177,9 +177,6 @@ def do_generate_api(targets, sources):
numpyapi_list = genapi.get_api_functions('NUMPY_API',
multiarray_funcs)
- # FIXME: ordered_funcs_api is unused
- ordered_funcs_api = genapi.order_dict(multiarray_funcs)
-
# Create dict name -> *Api instance
api_name = 'PyArray_API'
multiarray_api_dict = {}
diff --git a/numpy/distutils/system_info.py b/numpy/distutils/system_info.py
index 82e864a5c..741959aa4 100644
--- a/numpy/distutils/system_info.py
+++ b/numpy/distutils/system_info.py
@@ -1342,8 +1342,6 @@ class atlas_info(system_info):
lapack = None
atlas_1 = None
for d in lib_dirs:
- # FIXME: lapack_atlas is unused
- lapack_atlas = self.check_libs2(d, ['lapack_atlas'], [])
atlas = self.check_libs2(d, atlas_libs, [])
if atlas is not None:
lib_dirs2 = [d] + self.combine_paths(d, ['atlas*', 'ATLAS*'])
@@ -3107,8 +3105,6 @@ def show_all(argv=None):
del show_only[show_only.index(name)]
conf = c()
conf.verbosity = 2
- # FIXME: r not used
- r = conf.get_info()
if show_only:
log.info('Info classes not defined: %s', ','.join(show_only))
diff --git a/numpy/f2py/crackfortran.py b/numpy/f2py/crackfortran.py
index 984bd642b..eb9ce3174 100755
--- a/numpy/f2py/crackfortran.py
+++ b/numpy/f2py/crackfortran.py
@@ -1127,7 +1127,6 @@ def analyzeline(m, case, line):
(m.group('this'), ll[:i]))
ll = ll + ','.join(groupcache[groupcounter]['args'])
if i < 0:
- i = 0
pl = ''
else:
pl = ll[:i].strip()
@@ -2553,8 +2552,7 @@ def get_parameters(vars, global_params={}):
elif iscomplex(vars[n]):
# FIXME complex numbers may also have exponents
if v[0] == '(' and v[-1] == ')':
- # FIXME, unused l looks like potential bug
- l = markoutercomma(v[1:-1]).split('@,@')
+ pass
try:
params[n] = eval(v, g_params, params)
@@ -2985,7 +2983,6 @@ def expr2name(a, block, args=[]):
def analyzeargs(block):
setmesstext(block)
- implicitrules, attrrules = buildimplicitrules(block)
if 'args' not in block:
block['args'] = []
args = []
diff --git a/numpy/lib/format.py b/numpy/lib/format.py
index ead6a0420..926fc2328 100644
--- a/numpy/lib/format.py
+++ b/numpy/lib/format.py
@@ -604,7 +604,6 @@ def _read_array_header(fp, version):
raise ValueError(msg.format(d))
if EXPECTED_KEYS != d.keys():
- keys = sorted(d.keys())
msg = "Header does not contain the correct keys: {!r}"
raise ValueError(msg.format(d.keys()))
diff --git a/numpy/lib/index_tricks.py b/numpy/lib/index_tricks.py
index 72d8e9de4..166d8677c 100644
--- a/numpy/lib/index_tricks.py
+++ b/numpy/lib/index_tricks.py
@@ -201,7 +201,6 @@ class nd_grid:
length = int(step)
if step != 1:
step = (key.stop-start)/float(step-1)
- stop = key.stop + step
return _nx.arange(0, length, 1, float)*step + start
else:
return _nx.arange(start, stop, step)
diff --git a/numpy/linalg/lapack_lite/fortran.py b/numpy/linalg/lapack_lite/fortran.py
index 3aaefb92f..fc09f0808 100644
--- a/numpy/linalg/lapack_lite/fortran.py
+++ b/numpy/linalg/lapack_lite/fortran.py
@@ -110,7 +110,7 @@ def getDependencies(filename):
for lineno, line in fortranSourceLines(fo):
m = external_pat.match(line)
if m:
- names = line = line[m.end():].strip().split(',')
+ names = line[m.end():].strip().split(',')
names = [n.strip().lower() for n in names]
names = [n for n in names if n]
routines.extend(names)
diff --git a/numpy/linalg/linalg.py b/numpy/linalg/linalg.py
index 46fb2502e..37237ab19 100644
--- a/numpy/linalg/linalg.py
+++ b/numpy/linalg/linalg.py
@@ -2275,8 +2275,6 @@ def lstsq(a, b, rcond="warn"):
raise LinAlgError('Incompatible dimensions')
t, result_t = _commonType(a, b)
- # FIXME: real_t is unused
- real_t = _linalgRealType(t)
result_real_t = _realType(result_t)
# Determine default rcond value
diff --git a/numpy/ma/core.py b/numpy/ma/core.py
index 4c204cac2..fdc7f9e83 100644
--- a/numpy/ma/core.py
+++ b/numpy/ma/core.py
@@ -2842,8 +2842,6 @@ class MaskedArray(ndarray):
# Backwards compatibility w/ numpy.core.ma.
if hasattr(data, '_mask') and not isinstance(data, ndarray):
_data._mask = data._mask
- # FIXME _sharedmask is never used.
- _sharedmask = True
# Process mask.
# Type of the mask
mdtype = make_mask_descr(_data.dtype)
diff --git a/numpy/ma/extras.py b/numpy/ma/extras.py
index c139f4640..73abfc296 100644
--- a/numpy/ma/extras.py
+++ b/numpy/ma/extras.py
@@ -743,7 +743,6 @@ def _median(a, axis=None, out=None, overwrite_input=False):
return np.ma.mean(asorted[indexer], axis=axis, out=out)
if asorted.ndim == 1:
- counts = count(asorted)
idx, odd = divmod(count(asorted), 2)
mid = asorted[idx + odd - 1:idx + 1]
if np.issubdtype(asorted.dtype, np.inexact) and asorted.size > 0:
diff --git a/numpy/ma/mrecords.py b/numpy/ma/mrecords.py
index 9ea4e4e36..6814931b0 100644
--- a/numpy/ma/mrecords.py
+++ b/numpy/ma/mrecords.py
@@ -129,7 +129,6 @@ class MaskedRecords(MaskedArray):
msg = "Mask and data not compatible: data size is %i, " + \
"mask size is %i."
raise MAError(msg % (nd, nm))
- copy = True
if not keep_mask:
self.__setmask__(mask)
self._sharedmask = True
@@ -376,7 +375,6 @@ class MaskedRecords(MaskedArray):
try:
if issubclass(dtype, ndarray):
output = ndarray.view(self, dtype)
- dtype = None
else:
output = ndarray.view(self, dtype)
# OK, there's the change