auto-lint code

binaries.json

@@ -151,4 +151,4 @@
             }
         ]
     }
-}
+}

ivy/compiler/compiler.py

@@ -2,15 +2,15 @@
 
 
 def clear_graph_cache():
-    """Clears the graph cache which gets populated if `graph_caching` is set
-    to `True` in `ivy.trace_graph`, `ivy.transpile` or `ivy.unify`. Use this to
+    """Clears the graph cache which gets populated if `graph_caching` is set to
+    `True` in `ivy.trace_graph`, `ivy.transpile` or `ivy.unify`. Use this to
     reset or clear the graph cache if needed.
 
     Examples
     --------
     >>> import ivy
-    >>> ivy.clear_graph_cache()"""
-
+    >>> ivy.clear_graph_cache()
+    """
     from ._compiler import clear_graph_cache as _clear_graph_cache
 
     return _clear_graph_cache()
@@ -55,8 +55,8 @@ def graph_transpile(
 
     Returns
     -------
-    Either a transpiled Graph or a non-initialized LazyGraph."""
-
+    Either a transpiled Graph or a non-initialized LazyGraph.
+    """
     from ._compiler import graph_transpile as _graph_transpile
 
     return _graph_transpile(
@@ -96,6 +96,7 @@ def source_to_source(
     e.g. (source="torch_frontend", target="ivy") or (source="torch_frontend", target="tensorflow") etc.
 
     Args:
+    ----
         object: The object (class/function) to be translated.
         source (str, optional): The source framework. Defaults to 'torch'.
         target (str, optional): The target framework. Defaults to 'tensorflow'.
@@ -106,8 +107,9 @@ def source_to_source(
                                          the old implementation. Defaults to 'True'.
 
     Returns:
-        The translated object."""
-
+    -------
+    The translated object.
+    """
     from ._compiler import source_to_source as _source_to_source
 
     return _source_to_source(
@@ -138,7 +140,8 @@ def trace_graph(
     params_v=None,
     v=None
 ):
-    """Takes `fn` and traces it into a more efficient composition of backend operations.
+    """Takes `fn` and traces it into a more efficient composition of backend
+    operations.
 
     Parameters
     ----------
@@ -208,8 +211,8 @@ def trace_graph(
     >>> start = time.time()
     >>> graph(x)
     >>> print(time.time() - start)
-    0.0001785755157470703"""
-
+    0.0001785755157470703
+    """
     from ._compiler import trace_graph as _trace_graph
 
     return _trace_graph(
@@ -249,6 +252,7 @@ def transpile(
     e.g. (source="torch_frontend", target="ivy") or (source="torch_frontend", target="tensorflow") etc.
 
     Args:
+    ----
         object: The object (class/function) to be translated.
         source (str, optional): The source framework. Defaults to 'torch'.
         target (str, optional): The target framework. Defaults to 'tensorflow'.
@@ -259,8 +263,9 @@ def transpile(
                                          the old implementation. Defaults to 'True'.
 
     Returns:
-        The translated object."""
-
+    -------
+    The translated object.
+    """
     from ._compiler import transpile as _transpile
 
     return _transpile(

ivy/functional/backends/tensorflow/general.py

@@ -70,7 +70,9 @@ def get_item(
     else:
         if any([isinstance(q, slice) for q in query]):
             # convert any lists/tuples within the query to slices
-            query = tuple([slice(*q) if isinstance(q, (list, tuple)) else q for q in query])
+            query = tuple(
+                [slice(*q) if isinstance(q, (list, tuple)) else q for q in query]
+            )
         # for slices and other basic indexing, use __getitem__
         return x[query]
 
@@ -95,8 +97,7 @@ def set_item(
         query = query.numpy()
     elif isinstance(query, tuple):
         query = tuple(
-            q.numpy() if isinstance(q, (tf.Tensor, tf.Variable)) else q
-            for q in query
+            q.numpy() if isinstance(q, (tf.Tensor, tf.Variable)) else q for q in query
         )
 
     x[query] = val