Remove noqas that are already taken care of

pytensor/graph/destroyhandler.py

@@ -249,7 +249,7 @@ def fast_inplace_check(fgraph, inputs):
     return inputs
 
 
-class DestroyHandler(Bookkeeper):  # noqa
+class DestroyHandler(Bookkeeper):
     """
     The DestroyHandler class detects when a graph is impossible to evaluate
     because of aliasing and destructive operations.

pytensor/link/c/basic.py

@@ -1718,7 +1718,7 @@ class _CThunk:
 
     def __init__(self, cthunk, init_tasks, tasks, error_storage, module):
         # Lazy import to avoid compilation when importing pytensor.
-        from pytensor.link.c.cutils import run_cthunk  # noqa
+        from pytensor.link.c.cutils import run_cthunk
 
         self.run_cthunk = run_cthunk
         self.cthunk = cthunk

pytensor/link/c/lazylinker_c.py

@@ -23,7 +23,7 @@ lazylinker_ext: Optional[ModuleType] = None
 def try_import():
     global lazylinker_ext
     sys.path[0:0] = [config.compiledir]
-    import lazylinker_ext  # noqa
+    import lazylinker_ext
 
     del sys.path[0]
 
@@ -167,4 +167,4 @@ except ImportError:
 from lazylinker_ext.lazylinker_ext import CLazyLinker, get_version  # noqa
 from lazylinker_ext.lazylinker_ext import *  # noqa
 
-assert force_compile or (version == get_version())  # noqa
+assert force_compile or (version == get_version())

pytensor/scan/op.py

@@ -3395,7 +3395,7 @@ def profile_printer(
             )
 
 
-@op_debug_information.register(Scan)  # noqa
+@op_debug_information.register(Scan)
 def _op_debug_information_Scan(op: Scan, node: Apply):
     from collections.abc import Sequence
 

pytensor/scan/scan_perform_ext.py

@@ -5,7 +5,7 @@ To update the `Scan` Cython code you must
 - update the version value in this file and in `scan_perform.pyx`
 
 """
-from pytensor.scan.scan_perform import get_version, perform  # noqa: F401, E402
+from pytensor.scan.scan_perform import get_version, perform  # noqa: F401
 
 
 version = 0.326  # must match constant returned in function get_version()

pytensor/sparse/sandbox/sp.py

@@ -158,7 +158,7 @@ class ConvolutionIndices(Op):
                     for ox in np.arange(lbound[1], ubound[1], dx, dtype=int):
                         # kern[l] is filter value to apply at (oj,oi)
                         # for (iy,ix)
-                        l = 0  # noqa: E741
+                        l = 0
 
                         # ... ITERATE OVER INPUT UNITS IN RECEPTIVE FIELD
                         for ky in oy + np.arange(kshp[0], dtype=int):

pytensor/tensor/__init__.py

@@ -99,35 +99,38 @@ def _get_vector_length_Constant(op: Union[Op, Variable], var: Constant) -> int:
     return len(var.data)
 
 
-import pytensor.tensor.exceptions  # noqa
-from pytensor.gradient import grad, hessian, jacobian  # noqa
+import pytensor.tensor.exceptions
+import pytensor.tensor.rewriting
+from pytensor.gradient import grad, hessian, jacobian
 
 # adds shared-variable constructors
-from pytensor.tensor import sharedvar  # noqa
-from pytensor.tensor import (  # noqa
+from pytensor.tensor import (
     blas,
     blas_c,
     blas_scipy,
+    sharedvar,
     xlogx,
 )
-import pytensor.tensor.rewriting
 
 
 # isort: off
-from pytensor.tensor import linalg  # noqa
+from pytensor.tensor import linalg
 from pytensor.tensor import special
 
 # For backward compatibility
-from pytensor.tensor import nlinalg  # noqa
-from pytensor.tensor import slinalg  # noqa
+from pytensor.tensor import nlinalg
+from pytensor.tensor import slinalg
 
 # isort: on
-from pytensor.tensor.basic import *  # noqa
-from pytensor.tensor.blas import batched_dot, batched_tensordot  # noqa
-from pytensor.tensor.extra_ops import *
-
+# Allow accessing numpy constants from pytensor.tensor
+from numpy import e, euler_gamma, inf, infty, nan, newaxis, pi
 
-from pytensor.tensor.shape import (  # noqa
+from pytensor.tensor.basic import *
+from pytensor.tensor.blas import batched_dot, batched_tensordot
+from pytensor.tensor.extra_ops import *
+from pytensor.tensor.io import *
+from pytensor.tensor.math import *
+from pytensor.tensor.shape import (
     reshape,
     shape,
     shape_padaxis,
@@ -137,21 +140,18 @@ from pytensor.tensor.shape import (  # noqa
     specify_shape,
 )
 
-
-from pytensor.tensor.io import *  # noqa
-from pytensor.tensor.math import *  # noqa
-
 # We import as `_shared` instead of `shared` to avoid confusion between
 # `pytensor.shared` and `tensor._shared`.
-from pytensor.tensor.sort import argsort, argtopk, sort, topk, topk_and_argtopk  # noqa
-from pytensor.tensor.subtensor import *  # noqa
-from pytensor.tensor.type import *  # noqa
-from pytensor.tensor.type_other import *  # noqa
-from pytensor.tensor.variable import TensorConstant, TensorVariable  # noqa
-from pytensor.tensor.functional import vectorize  # noqa
+from pytensor.tensor.sort import argsort, argtopk, sort, topk, topk_and_argtopk
+from pytensor.tensor.subtensor import *
+from pytensor.tensor.type import *
+from pytensor.tensor.type_other import *
+from pytensor.tensor.variable import TensorConstant, TensorVariable
 
-# Allow accessing numpy constants from pytensor.tensor
-from numpy import e, euler_gamma, inf, infty, nan, newaxis, pi  # noqa
+
+# isort: off
+from pytensor.tensor.functional import vectorize
+# isort: on
 
 
 __all__ = ["random"]  # noqa: F405

pytensor/tensor/blas.py

@@ -83,7 +83,7 @@ import numpy as np
 
 
 try:
-    import numpy.__config__  # noqa
+    import numpy.__config__
 except ImportError:
     pass
 

pytensor/tensor/rewriting/blas.py

@@ -63,7 +63,7 @@ from pytensor.tensor.rewriting.basic import register_specialize
 
 
 try:
-    import numpy.__config__  # noqa
+    import numpy.__config__
 except ImportError:
     pass