refactor: Replaced lambda expressions with def functions (ivy-llc…

…#27738)

ivy/__init__.py

@@ -1213,7 +1213,10 @@ def dynamic_backend_as(value):
 downcast_dtypes = False
 upcast_dtypes = False
 crosscast_dtypes = False
-cast_dtypes = lambda: downcast_dtypes and upcast_dtypes and crosscast_dtypes
+
+
+def cast_dtypes():
+    return downcast_dtypes and upcast_dtypes and crosscast_dtypes
 
 
 def downcast_data_types(val=True):

ivy/func_wrapper.py

@@ -174,9 +174,13 @@ def try_array_function_override(func, overloaded_args, types, args, kwargs):
 
 def _get_first_array(*args, **kwargs):
     # ToDo: make this more efficient, with function ivy.nested_nth_index_where
-    array_fn = lambda x: (
-        ivy.is_array(x) if not hasattr(x, "_ivy_array") else ivy.is_array(x.ivy_array)
-    )
+    def array_fn(x):
+        return (
+            ivy.is_array(x)
+            if not hasattr(x, "_ivy_array")
+            else ivy.is_array(x.ivy_array)
+        )
+
     array_fn = array_fn if "array_fn" not in kwargs else kwargs["array_fn"]
     arr = None
     if args:

ivy/functional/frontends/jax/numpy/statistical.py

@@ -404,7 +404,9 @@ def apply_along_axis(func1d, axis, arr, *args, **kwargs):
         if axis < 0:
             axis = axis + ndim
 
-        func = lambda elem: func1d(elem, *args, **kwargs)
+        def func(elem):
+            return func1d(elem, *args, **kwargs)
+
         for i in range(1, ndim - axis):
             func = ivy.vmap(func, in_axes=i, out_axes=-1)
         for i in range(axis):

ivy/functional/frontends/numpy/func_wrapper.py

@@ -30,7 +30,10 @@ def _assert_array(args, dtype, scalar_check=False, casting="safe"):
             if ivy.is_bool_dtype(dtype):
                 assert_fn = ivy.is_bool_dtype
             if ivy.is_int_dtype(dtype):
-                assert_fn = lambda x: not ivy.is_float_dtype(x)
+
+                def assert_fn(x):  # noqa F811
+                    return not ivy.is_float_dtype(x)
+
             if assert_fn:
                 ivy.utils.assertions.check_all_or_any_fn(
                     *args,
@@ -51,13 +54,19 @@ def _assert_no_array(args, dtype, scalar_check=False, none=False):
     if args:
         first_arg = args[0]
         fn_func = ivy.as_ivy_dtype(dtype) if ivy.exists(dtype) else ivy.dtype(first_arg)
-        assert_fn = lambda x: ivy.dtype(x) == fn_func
+
+        def assert_fn(x):
+            return ivy.dtype(x) == fn_func
+
         if scalar_check:
-            assert_fn = lambda x: (
-                ivy.dtype(x) == fn_func
-                if ivy.shape(x) != ()
-                else _casting_no_special_case(ivy.dtype(x), fn_func, none)
-            )
+
+            def assert_fn(x):  # noqa F811
+                return (
+                    ivy.dtype(x) == fn_func
+                    if ivy.shape(x) != ()
+                    else _casting_no_special_case(ivy.dtype(x), fn_func, none)
+                )
+
         ivy.utils.assertions.check_all_or_any_fn(
             *args,
             fn=assert_fn,
@@ -105,9 +114,15 @@ def _assert_scalar(args, dtype):
     if args and dtype:
         assert_fn = None
         if ivy.is_int_dtype(dtype):
-            assert_fn = lambda x: not isinstance(x, float)
+
+            def assert_fn(x):  # noqa F811
+                return not isinstance(x, float)
+
         elif ivy.is_bool_dtype(dtype):
-            assert_fn = lambda x: isinstance(x, bool)
+
+            def assert_fn(x):
+                return isinstance(x, bool)
+
         if assert_fn:
             ivy.utils.assertions.check_all_or_any_fn(
                 *args,

ivy/functional/ivy/experimental/layers.py

@@ -1689,11 +1689,20 @@ def area_interpolate(x, dims, size, scale):
 def get_interpolate_kernel(mode):
     kernel_func = _triangle_kernel
     if mode == "tf_bicubic":
-        kernel_func = lambda inputs: _cubic_kernel(inputs)
+
+        def kernel_func(inputs):  # noqa F811
+            return _cubic_kernel(inputs)
+
     elif mode == "lanczos3":
-        kernel_func = lambda inputs: _lanczos_kernel(3, inputs)
+
+        def kernel_func(inputs):
+            return _lanczos_kernel(3, inputs)
+
     elif mode == "lanczos5":
-        kernel_func = lambda inputs: _lanczos_kernel(5, inputs)
+
+        def kernel_func(inputs):
+            return _lanczos_kernel(5, inputs)
+
     return kernel_func
 
 

ivy/utils/assertions.py

@@ -22,13 +22,19 @@ def _broadcast_inputs(x1, x2):
 
 
 def check_less(x1, x2, allow_equal=False, message="", as_array=True):
-    comp_fn = lambda x1, x2: (ivy.any(x1 > x2), ivy.any(x1 >= x2))
+    def comp_fn(x1, x2):
+        return ivy.any(x1 > x2), ivy.any(x1 >= x2)
+
     if not as_array:
-        iter_comp_fn = lambda x1_, x2_: (
-            any(x1 > x2 for x1, x2 in zip(x1_, x2_)),
-            any(x1 >= x2 for x1, x2 in zip(x1_, x2_)),
-        )
-        comp_fn = lambda x1, x2: iter_comp_fn(*_broadcast_inputs(x1, x2))
+
+        def iter_comp_fn(x1_, x2_):
+            return any(x1 > x2 for x1, x2 in zip(x1_, x2_)), any(
+                x1 >= x2 for x1, x2 in zip(x1_, x2_)
+            )
+
+        def comp_fn(x1, x2):  # noqa F811
+            return iter_comp_fn(*_broadcast_inputs(x1, x2))
+
     gt, gt_eq = comp_fn(x1, x2)
     # less_equal
     if allow_equal and gt:
@@ -42,13 +48,19 @@ def check_less(x1, x2, allow_equal=False, message="", as_array=True):
 
 
 def check_greater(x1, x2, allow_equal=False, message="", as_array=True):
-    comp_fn = lambda x1, x2: (ivy.any(x1 < x2), ivy.any(x1 <= x2))
+    def comp_fn(x1, x2):
+        return ivy.any(x1 < x2), ivy.any(x1 <= x2)
+
     if not as_array:
-        iter_comp_fn = lambda x1_, x2_: (
-            any(x1 < x2 for x1, x2 in zip(x1_, x2_)),
-            any(x1 <= x2 for x1, x2 in zip(x1_, x2_)),
-        )
-        comp_fn = lambda x1, x2: iter_comp_fn(*_broadcast_inputs(x1, x2))
+
+        def iter_comp_fn(x1_, x2_):
+            return any(x1 < x2 for x1, x2 in zip(x1_, x2_)), any(
+                x1 <= x2 for x1, x2 in zip(x1_, x2_)
+            )
+
+        def comp_fn(x1, x2):  # noqa F811
+            return iter_comp_fn(*_broadcast_inputs(x1, x2))
+
     lt, lt_eq = comp_fn(x1, x2)
     # greater_equal
     if allow_equal and lt:
@@ -63,11 +75,20 @@ def check_greater(x1, x2, allow_equal=False, message="", as_array=True):
 
 def check_equal(x1, x2, inverse=False, message="", as_array=True):
     # not_equal
-    eq_fn = lambda x1, x2: (x1 == x2 if inverse else x1 != x2)
-    comp_fn = lambda x1, x2: ivy.any(eq_fn(x1, x2))
+    def eq_fn(x1, x2):
+        return x1 == x2 if inverse else x1 != x2
+
+    def comp_fn(x1, x2):
+        return ivy.any(eq_fn(x1, x2))
+
     if not as_array:
-        iter_comp_fn = lambda x1_, x2_: any(eq_fn(x1, x2) for x1, x2 in zip(x1_, x2_))
-        comp_fn = lambda x1, x2: iter_comp_fn(*_broadcast_inputs(x1, x2))
+
+        def iter_comp_fn(x1_, x2_):
+            return any(eq_fn(x1, x2) for x1, x2 in zip(x1_, x2_))
+
+        def comp_fn(x1, x2):  # noqa F811
+            return iter_comp_fn(*_broadcast_inputs(x1, x2))
+
     eq = comp_fn(x1, x2)
     if inverse and eq:
         raise ivy.utils.exceptions.IvyException(