Fix broken strings

pytensor/compile/function/types.py

@@ -1067,7 +1067,7 @@ def restore_defaults():
     container = property(
         lambda self: self._container,
         None,  # this property itself is not settable
-        doc=("dictionary-like access to the containers associated with " "Variables"),
+        doc=("dictionary-like access to the containers associated with Variables"),
     )
 
     def free(self):

pytensor/gradient.py

@@ -1328,7 +1328,7 @@ def try_to_copy_if_needed(var):
                 elif connected and not actually_connected:
                     msg = f"{node.op}.grad returned DisconnectedType for input {i}."
                     if hasattr(node.op, "connection_pattern"):
-                        msg += " Its connection_pattern method does not" " allow this."
+                        msg += " Its connection_pattern method does not allow this."
                         raise TypeError(msg)
                     else:
                         msg += (

pytensor/misc/check_blas.py

@@ -111,7 +111,7 @@ def test():
     action="store_true",
     dest="quiet",
     default=False,
-    help="If true, do not print the comparison table and config " "options",
+    help="If true, do not print the comparison table and config options",
 )
 parser.add_option(
     "--print_only",

pytensor/misc/elemwise_openmp_speedup.py

@@ -11,7 +11,7 @@
 console_encoding = getpreferredencoding()
 
 parser = OptionParser(
-    usage="%prog <options>\n Compute time for" " fast and slow elemwise operations"
+    usage="%prog <options>\n Compute time for fast and slow elemwise operations"
 )
 parser.add_option(
     "-N",

pytensor/misc/elemwise_time_test.py

@@ -11,7 +11,7 @@
 
 
 parser = OptionParser(
-    usage="%prog <options>\n Compute time for" " fast and slow elemwise operations"
+    usage="%prog <options>\n Compute time for fast and slow elemwise operations"
 )
 parser.add_option(
     "-N",

pytensor/misc/pkl_utils.py

@@ -12,7 +12,7 @@
 
 
 __docformat__ = "restructuredtext en"
-__authors__ = "Pascal Lamblin " "PyMC Developers " "PyTensor Developers "
+__authors__ = "Pascal Lamblin PyMC Developers PyTensor Developers "
 __copyright__ = "Copyright 2013, Universite de Montreal"
 __license__ = "3-clause BSD"
 

pytensor/tensor/elemwise.py

@@ -1563,9 +1563,7 @@ def _c_all(self, node, name, inames, onames, sub):
         elif identity is None:
             raise TypeError(f"The {self.scalar_op} does not define an identity.")
 
-        task0_decl = (
-            f"{adtype}& {aname}_i = *{aname}_iter;\n" f"{aname}_i = {identity};"
-        )
+        task0_decl = f"{adtype}& {aname}_i = *{aname}_iter;\n{aname}_i = {identity};"
 
         task1_decl = f"{idtype}& {inames[0]}_i = *{inames[0]}_iter;\n"
 

pytensor/tensor/shape.py

@@ -316,7 +316,7 @@ def grad(self, inp, grads):
                 op=self,
                 x_pos=0,
                 x=inp[0],
-                comment=("No gradient for the shape of a matrix " "is implemented."),
+                comment="No gradient for the shape of a matrix is implemented.",
             )
         ]
 

tests/sparse/test_basic.py

@@ -328,7 +328,7 @@ def f(spdata):
             iconv.append(conv_none)
     output = op(*[as_sparse_or_tensor_variable(p) for p in pt])
     if isinstance(output, list | tuple):
-        raise NotImplementedError("verify_grad can't deal with " "multiple outputs")
+        raise NotImplementedError("verify_grad can't deal with multiple outputs")
     if _is_sparse_variable(output):
         oconv = DenseFromSparse(structured=structured)
     else:

tests/tensor/test_math.py

@@ -2535,7 +2535,7 @@ def numpy_i_scalar(dtype):
                 # a float32 may result in a complex64. As
                 # of 1.9.2. this is still the case so it is
                 # probably by design
-                pytest.skip("Known issue with" "numpy see #761")
+                pytest.skip("Known issue with numpy see #761")
             # In any other situation: something wrong is
             # going on!
             raise AssertionError()