Travis build: 187

README.md

@@ -1176,7 +1176,7 @@ Loop for `max_length` times grouping elements.
 If lengths of `lists` vary, use `fill_value` (defaults to `None`). 
 
 ```py
-def zip(*args, fillvalue=None):
+def zip(*args, fill_value=None):
   max_length = max([len(lst) for lst in args])
   result = []
   for i in range(max_length):

snippet_data/snippetList.json

@@ -1221,7 +1221,7 @@
         ]
       },
       "meta": {
-        "hash": "8c0dea46f260c7edfa363a0a295683d858c2011c9220b2d4fc53025a684388f0"
+        "hash": "7741a05775275c2b463f0a110d70b130393857f2c391e571ecc1dcd4c0e94809"
       }
     }
   ],

snippet_data/snippets.json

@@ -1606,7 +1606,7 @@
         "fileName": "zip.md",
         "text": "Creates a list of elements, grouped based on the position in the original lists.\n\n\nUse `max` combined with `list comprehension` to get the length of the longest list in the arguments. \nLoop for `max_length` times grouping elements. \nIf lengths of `lists` vary, use `fill_value` (defaults to `None`). \n\n",
         "codeBlocks": {
-          "code": "def zip(*args, fillvalue=None):\n  max_length = max([len(lst) for lst in args])\n  result = []\n  for i in range(max_length):\n    result.append([\n      args[k][i] if i < len(args[k]) else fillvalue for k in range(len(args))\n    ])\n  return result",
+          "code": "def zip(*args, fill_value=None):\n  max_length = max([len(lst) for lst in args])\n  result = []\n  for i in range(max_length):\n    result.append([\n      args[k][i] if i < len(args[k]) else fillvalue for k in range(len(args))\n    ])\n  return result",
           "example": "zip(['a', 'b'], [1, 2], [True, False]) # [['a', 1, True], ['b', 2, False]]\nzip(['a'], [1, 2], [True, False]) # [['a', 1, True], [None, 2, False]]\nzip(['a'], [1, 2], [True, False], fill_value = '_') # [['a', 1, True], ['_', 2, False]]"
         },
         "tags": [
@@ -1616,7 +1616,7 @@
         ]
       },
       "meta": {
-        "hash": "8c0dea46f260c7edfa363a0a295683d858c2011c9220b2d4fc53025a684388f0"
+        "hash": "7741a05775275c2b463f0a110d70b130393857f2c391e571ecc1dcd4c0e94809"
       }
     }
   ],