Flak8 refactoring. Fix minor bugs and close tags

arrayfire/algorithm.py

@@ -1,5 +1,5 @@
 #######################################################
-# Copyright (c) 2019, ArrayFire
+# Copyright (c) 2020, ArrayFire
 # All rights reserved.
 #
 # This file is distributed under 3-clause BSD license.
@@ -14,11 +14,13 @@
 from .array import Array
 from .library import backend, safe_call, BINARYOP, c_bool_t, c_double_t, c_int_t, c_pointer, c_uint_t
 
+
 def _parallel_dim(a, dim, c_func):
     out = Array()
     safe_call(c_func(c_pointer(out.arr), a.arr, c_int_t(dim)))
     return out
 
+
 def _reduce_all(a, c_func):
     real = c_double_t(0)
     imag = c_double_t(0)
@@ -29,11 +31,13 @@ def _reduce_all(a, c_func):
     imag = imag.value
     return real if imag == 0 else real + imag * 1j
 
+
 def _nan_parallel_dim(a, dim, c_func, nan_val):
     out = Array()
     safe_call(c_func(c_pointer(out.arr), a.arr, c_int_t(dim), c_double_t(nan_val)))
     return out
 
+
 def _nan_reduce_all(a, c_func, nan_val):
     real = c_double_t(0)
     imag = c_double_t(0)
@@ -44,6 +48,7 @@ def _nan_reduce_all(a, c_func, nan_val):
     imag = imag.value
     return real if imag == 0 else real + imag * 1j
 
+
 def _FNSD(dim, dims):
     if dim >= 0:
         return int(dim)
@@ -55,20 +60,26 @@ def _FNSD(dim, dims):
             break
     return int(fnsd)
 
+
 def _rbk_dim(keys, vals, dim, c_func):
     keys_out = Array()
     vals_out = Array()
     rdim = _FNSD(dim, vals.dims())
     safe_call(c_func(c_pointer(keys_out.arr), c_pointer(vals_out.arr), keys.arr, vals.arr, c_int_t(rdim)))
     return keys_out, vals_out
 
+
 def _nan_rbk_dim(a, dim, c_func, nan_val):
     keys_out = Array()
     vals_out = Array()
+    # FIXME: vals is undefined
     rdim = _FNSD(dim, vals.dims())
-    safe_call(c_func(c_pointer(keys_out.arr), c_pointer(vals_out.arr), keys.arr, vals.arr, c_int_t(rdim), c_double_t(nan_val)))
+    # FIXME: keys is undefined
+    safe_call(c_func(
+        c_pointer(keys_out.arr), c_pointer(vals_out.arr), keys.arr, vals.arr, c_int_t(rdim), c_double_t(nan_val)))
     return keys_out, vals_out
 
+
 def sum(a, dim=None, nan_val=None):
     """
     Calculate the sum of all the elements along a specified dimension.
@@ -88,18 +99,16 @@ def sum(a, dim=None, nan_val=None):
          The sum of all elements in `a` along dimension `dim`.
          If `dim` is `None`, sum of the entire Array is returned.
     """
-    if nan_val is not None:
-        if dim is not None:
+    if nan_val:
+        if dim:
             return _nan_parallel_dim(a, dim, backend.get().af_sum_nan, nan_val)
         return _nan_reduce_all(a, backend.get().af_sum_nan_all, nan_val)
 
-    if dim is not None:
+    if dim:
         return _parallel_dim(a, dim, backend.get().af_sum)
     return _reduce_all(a, backend.get().af_sum_all)
 
 
-
-
 def sumByKey(keys, vals, dim=-1, nan_val=None):
     """
     Calculate the sum of elements along a specified dimension according to a key.
@@ -122,10 +131,10 @@ def sumByKey(keys, vals, dim=-1, nan_val=None):
     values: af.Array or scalar number
          The sum of all elements in `vals` along dimension `dim` according to keys
     """
-    if (nan_val is not None):
+    if nan_val:
         return _nan_rbk_dim(keys, vals, dim, backend.get().af_sum_by_key_nan, nan_val)
-    else:
-        return _rbk_dim(keys, vals, dim, backend.get().af_sum_by_key)
+    return _rbk_dim(keys, vals, dim, backend.get().af_sum_by_key)
+
 
 def product(a, dim=None, nan_val=None):
     """
@@ -178,10 +187,10 @@ def productByKey(keys, vals, dim=-1, nan_val=None):
     values: af.Array or scalar number
          The product of all elements in `vals` along dimension `dim` according to keys
     """
-    if (nan_val is not None):
+    if nan_val is not None:
         return _nan_rbk_dim(keys, vals, dim, backend.get().af_product_by_key_nan, nan_val)
-    else:
-        return _rbk_dim(keys, vals, dim, backend.get().af_product_by_key)
+    return _rbk_dim(keys, vals, dim, backend.get().af_product_by_key)
+
 
 def min(a, dim=None):
     """
@@ -227,6 +236,7 @@ def minByKey(keys, vals, dim=-1):
     """
     return _rbk_dim(keys, vals, dim, backend.get().af_min_by_key)
 
+
 def max(a, dim=None):
     """
     Find the maximum value of all the elements along a specified dimension.
@@ -271,6 +281,7 @@ def maxByKey(keys, vals, dim=-1):
     """
     return _rbk_dim(keys, vals, dim, backend.get().af_max_by_key)
 
+
 def all_true(a, dim=None):
     """
     Check if all the elements along a specified dimension are true.
@@ -315,6 +326,7 @@ def allTrueByKey(keys, vals, dim=-1):
     """
     return _rbk_dim(keys, vals, dim, backend.get().af_all_true_by_key)
 
+
 def any_true(a, dim=None):
     """
     Check if any the elements along a specified dimension are true.
@@ -334,8 +346,8 @@ def any_true(a, dim=None):
     """
     if dim is not None:
         return _parallel_dim(a, dim, backend.get().af_any_true)
-    else:
-        return _reduce_all(a, backend.get().af_any_true_all)
+    return _reduce_all(a, backend.get().af_any_true_all)
+
 
 def anyTrueByKey(keys, vals, dim=-1):
     """
@@ -359,6 +371,7 @@ def anyTrueByKey(keys, vals, dim=-1):
     """
     return _rbk_dim(keys, vals, dim, backend.get().af_any_true_by_key)
 
+
 def count(a, dim=None):
     """
     Count the number of non zero elements in an array along a specified dimension.
@@ -378,8 +391,7 @@ def count(a, dim=None):
     """
     if dim is not None:
         return _parallel_dim(a, dim, backend.get().af_count)
-    else:
-        return _reduce_all(a, backend.get().af_count_all)
+    return _reduce_all(a, backend.get().af_count_all)
 
 
 def countByKey(keys, vals, dim=-1):
@@ -404,6 +416,7 @@ def countByKey(keys, vals, dim=-1):
     """
     return _rbk_dim(keys, vals, dim, backend.get().af_count_by_key)
 
+
 def imin(a, dim=None):
     """
     Find the value and location of the minimum value along a specified dimension

arrayfire/arith.py

@@ -77,7 +77,7 @@ def cast(a, dtype):
     out  : af.Array
            array containing the values from `a` after converting to `dtype`.
     """
-    out=Array()
+    out = Array()
     safe_call(backend.get().af_cast(c_pointer(out.arr), a.arr, dtype.value))
     return out
 
@@ -156,15 +156,8 @@ def clamp(val, low, high):
     vdims = dim4_to_tuple(val.dims())
     vty = val.type()
 
-    if not is_low_array:
-        low_arr = constant_array(low, vdims[0], vdims[1], vdims[2], vdims[3], vty)
-    else:
-        low_arr = low.arr
-
-    if not is_high_array:
-        high_arr = constant_array(high, vdims[0], vdims[1], vdims[2], vdims[3], vty)
-    else:
-        high_arr = high.arr
+    low_arr = low.arr if is_low_array else constant_array(low, vdims[0], vdims[1], vdims[2], vdims[3], vty)
+    high_arr = high.arr if is_high_array else constant_array(high, vdims[0], vdims[1], vdims[2], vdims[3], vty)
 
     safe_call(backend.get().af_clamp(c_pointer(out.arr), val.arr, low_arr, high_arr, _bcast_var.get()))
 
@@ -1003,6 +996,7 @@ def sqrt(a):
     """
     return _arith_unary_func(a, backend.get().af_sqrt)
 
+
 def rsqrt(a):
     """
     Reciprocal or inverse square root of each element in the array.