diff --git a/tinygrad/shape/view.py b/tinygrad/shape/view.py
index 101bb2e669..ab60a52332 100644
--- a/tinygrad/shape/view.py
+++ b/tinygrad/shape/view.py
@@ -76,13 +76,13 @@ def _reshape_mask(_mask:Optional[Tuple[Tuple[sint, sint], ...]], old_shape:Tuple
 
   return tuple(reversed(new_mask))
 
-def un1d(shape:Tuple[sint, ...], offs:sint) -> List[sint]:
-  result = []
+def un1d(shape:Tuple[sint, ...], offset:sint) -> List[sint]:
+  # find the position of offset on each dimension based on shape
+  ret = []
   for stride in strides_for_shape(shape):
-    here = offs // stride if stride != 0 else 0
-    result.append(here)
-    offs -= here * stride
-  return result
+    ret.append(offset // stride if stride != 0 else 0)
+    offset -= ret[-1] * stride
+  return ret
 
 @dataclass(frozen=True)
 class View:
@@ -123,7 +123,7 @@ class View:
     strides = canonicalize_strides(shape, strides) if strides else strides_for_shape(shape)
     # canonicalize 0 in shape
     if 0 in shape: return View(shape, (0,) * len(shape), offset=0, mask=None, contiguous=True)
-    # canonicalize empty mask
+    # canonicalize no-op mask
     if mask is not None and all(m == (0,s) for m,s in zip(mask, shape)): mask = None
     # if any dimension has size >1, but is masked such that only one index in the dimension is unmasked
     # then its stride can also be set to 0, albeit with a corresponding adjustment required to the offset
@@ -167,12 +167,12 @@ class View:
     if vm1.contiguous and vm1.size() == vm2.size() and (ret := vm2.reshape(vm1.shape)) is not None: return ret
     if vm1.mask:
       for b,e in vm1.mask:
-        if resolve(b >= e, False): return View.create(vm1.shape, (0,) * len(vm1.shape), 0, ((0,0),) * len(vm1.shape))
+        if not resolve(b < e): return View.create(vm1.shape, (0,) * len(vm1.shape), 0, ((0,0),) * len(vm1.shape))
       return (merged := vm2 + vm1.shrink(vm1.mask)) and merged.pad(tuple((b,s-e) for (b,e),s in zip(vm1.mask, vm1.shape)))
 
     # Project vm1's offset and strides on to vm2.
     origin = un1d(vm2.shape, vm1.offset)
-    terms: List[List[Tuple[int, sint]]] = [[] for _ in origin]
+    terms: List[List[Tuple[int, sint]]] = [[] for _ in vm2.shape]
     strides: List[sint] = [0] * len(vm1.shape)
     for d1, st in enumerate(vm1.strides):
       if st == 0: continue
@@ -195,8 +195,7 @@ class View:
         merged_size, merged_term = 1, UOp.const(dtypes.int, 0)
     if resolve(merged_term != 0): return None
     if (vm2_shape := tuple(s for s,_ in reversed(extents))) != vm2.shape:
-      reshaped_vm2 = vm2.reshape(vm2_shape)
-      if reshaped_vm2 is None: return None
+      if (reshaped_vm2 := vm2.reshape(vm2_shape)) is None: return None
       if reshaped_vm2.shape != vm2.shape: return reshaped_vm2 + vm1
 
     if vm2.mask:
@@ -212,7 +211,7 @@ class View:
           else: bad = True
           continue
         d1, s1 = term[0]
-        if not isinstance(s1, int) or not isinstance(newe[d1], int):
+        if not all_int([s1, newe[d1]]):
           bad = True
           continue
         newb[d1] = max(newb[d1], math.ceil((b - o if s1 > 0 else e - o - 1) / s1))