numpy · mattip · Jul 9, 2021 · May 26, 2021 · May 26, 2021 · May 26, 2021
diff --git 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
@@ -1342,8 +1342,6 @@ def calc_info(self):
         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 +3105,9 @@ 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()
+        # we don't need the result, but we want
+        # the side effect of printing diagnostics
+        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
@@ -2551,10 +2551,8 @@ def get_parameters(vars, global_params={}):
                 v = ''.join(tt)
 
             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('@,@')
+                outmess(f'get_parameters[TODO]: '
+                        f'implement evaluation of complex expression {v}')
 
             try:
                 params[n] = eval(v, g_params, params)
@@ -2985,7 +2983,7 @@ def expr2name(a, block, args=[]):
 
 def analyzeargs(block):
     setmesstext(block)
-    implicitrules, attrrules = buildimplicitrules(block)
+    implicitrules, _ = buildimplicitrules(block)
     if 'args' not in block:
         block['args'] = []
     args = []

diff --git a/numpy/lib/format.py b/numpy/lib/format.py
@@ -606,7 +606,7 @@ def _read_array_header(fp, version):
     if EXPECTED_KEYS != d.keys():
            keys = sorted(d.keys())
         msg = "Header does not contain the correct keys: {!r}"
-        raise ValueError(msg.format(d.keys()))
+        raise ValueError(msg.format(keys))
 
     # Sanity-check the values.
     if (not isinstance(d['shape'], tuple) or

diff --git a/numpy/lib/index_tricks.py b/numpy/lib/index_tricks.py
@@ -201,7 +201,6 @@ def __getitem__(self, key):
                 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
@@ -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
@@ -128,10 +128,6 @@ def _realType(t, default=double):
 def _complexType(t, default=cdouble):
     return _complex_types_map.get(t, default)
 
-def _linalgRealType(t):
-    """Cast the type t to either double or cdouble."""
-    return double
-
 def _commonType(*arrays):
     # in lite version, use higher precision (always double or cdouble)
     result_type = single
@@ -2275,8 +2271,6 @@ 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
@@ -2839,11 +2839,6 @@ def __new__(cls, data=None, mask=nomask, dtype=None, copy=False,
             _data = ndarray.view(_data, type(data))
         else:
             _data = ndarray.view(_data, cls)
-        # 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
@@ -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
@@ -129,7 +129,6 @@ def __new__(cls, shape, dtype=None, buf=None, offset=0, strides=None,
                     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 @@ def view(self, dtype=None, type=None):
             try:
                 if issubclass(dtype, ndarray):
                     output = ndarray.view(self, dtype)
-                    dtype = None
                 else:
                     output = ndarray.view(self, dtype)
             # OK, there's the change