Github user HyukjinKwon commented on a diff in the pull request:

    https://github.com/apache/spark/pull/18521#discussion_r125385500
  
    --- Diff: python/pyspark/sql/types.py ---
    @@ -1249,121 +1249,201 @@ def _infer_schema_type(obj, dataType):
     }
     
     
    -def _verify_type(obj, dataType, nullable=True):
    +def _make_type_verifier(dataType, nullable=True, name=None):
         """
         Verify the type of obj against dataType, raise a TypeError if they do 
not match.
     
         Also verify the value of obj against datatype, raise a ValueError if 
it's not within the allowed
         range, e.g. using 128 as ByteType will overflow. Note that, Python 
float is not checked, so it
         will become infinity when cast to Java float if it overflows.
     
    -    >>> _verify_type(None, StructType([]))
    -    >>> _verify_type("", StringType())
    -    >>> _verify_type(0, LongType())
    -    >>> _verify_type(list(range(3)), ArrayType(ShortType()))
    -    >>> _verify_type(set(), ArrayType(StringType())) # doctest: 
+IGNORE_EXCEPTION_DETAIL
    +    >>> _make_type_verifier(StructType([]))(None)
    +    >>> _make_type_verifier(StringType())("")
    +    >>> _make_type_verifier(LongType())(0)
    +    >>> _make_type_verifier(ArrayType(ShortType()))(list(range(3)))
    +    >>> _make_type_verifier(ArrayType(StringType()))(set()) # doctest: 
+IGNORE_EXCEPTION_DETAIL
         Traceback (most recent call last):
             ...
         TypeError:...
    -    >>> _verify_type({}, MapType(StringType(), IntegerType()))
    -    >>> _verify_type((), StructType([]))
    -    >>> _verify_type([], StructType([]))
    -    >>> _verify_type([1], StructType([])) # doctest: 
+IGNORE_EXCEPTION_DETAIL
    +    >>> _make_type_verifier(MapType(StringType(), IntegerType()))({})
    +    >>> _make_type_verifier(StructType([]))(())
    +    >>> _make_type_verifier(StructType([]))([])
    +    >>> _make_type_verifier(StructType([]))([1]) # doctest: 
+IGNORE_EXCEPTION_DETAIL
         Traceback (most recent call last):
             ...
         ValueError:...
         >>> # Check if numeric values are within the allowed range.
    -    >>> _verify_type(12, ByteType())
    -    >>> _verify_type(1234, ByteType()) # doctest: +IGNORE_EXCEPTION_DETAIL
    +    >>> _make_type_verifier(ByteType())(12)
    +    >>> _make_type_verifier(ByteType())(1234) # doctest: 
+IGNORE_EXCEPTION_DETAIL
         Traceback (most recent call last):
             ...
         ValueError:...
    -    >>> _verify_type(None, ByteType(), False) # doctest: 
+IGNORE_EXCEPTION_DETAIL
    +    >>> _make_type_verifier(ByteType(), False)(None) # doctest: 
+IGNORE_EXCEPTION_DETAIL
         Traceback (most recent call last):
             ...
         ValueError:...
    -    >>> _verify_type([1, None], ArrayType(ShortType(), False)) # doctest: 
+IGNORE_EXCEPTION_DETAIL
    +    >>> _make_type_verifier(
    +    ...     ArrayType(ShortType(), False))([1, None]) # doctest: 
+IGNORE_EXCEPTION_DETAIL
         Traceback (most recent call last):
             ...
         ValueError:...
    -    >>> _verify_type({None: 1}, MapType(StringType(), IntegerType()))
    +    >>> _make_type_verifier(MapType(StringType(), IntegerType()))({None: 
1})
         Traceback (most recent call last):
             ...
         ValueError:...
         >>> schema = StructType().add("a", IntegerType()).add("b", 
StringType(), False)
    -    >>> _verify_type((1, None), schema) # doctest: +IGNORE_EXCEPTION_DETAIL
    +    >>> _make_type_verifier(schema)((1, None)) # doctest: 
+IGNORE_EXCEPTION_DETAIL
         Traceback (most recent call last):
             ...
         ValueError:...
         """
    -    if obj is None:
    -        if nullable:
    -            return
    +
    +    if name is None:
    --- End diff --
    
    This looks a bit odds but I could not figure out a shorter and cleaner way 
...


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