merge_machine/preprocess_fields_v3.py
def infer_types(tab, params = None):
	'''  Infers column types for the input array and produces a dictionary of column name to likeliest types. '''
	fields = parse_fields_from_Panda(tab)
	return { 
		'column_types': fields.infer_types(), 
		'all_types': all_data_types(),
		'type_tags': type_tags() }
  Infers column types for the input array and produces a dictionary of column name to likeliest types. 
Infers column types for the input array and produces a dictionary of column name to likeliest types.
Infers column types for the input array and produces a dictionary of column name to likeliest types .
def infer_types(tab, params = None):
	fields = parse_fields_from_Panda(tab)
	return { 
		'column_types': fields.infer_types(), 
		'all_types': all_data_types(),
		'type_tags': type_tags() }
def infer_types ( tab , params = None ) : fields = parse_fields_from_Panda ( tab ) return { 'column_types' : fields . infer_types ( ) , 'all_types' : all_data_types ( ) , 'type_tags' : type_tags ( ) }
Infers column types for the input array and produces a dictionary of column name to likeliest types.
Infers column types for the input array and produces a dictionary of column name to likeliest types .
'''  Infers column types for the input array and produces a dictionary of column name to likeliest types. '''
tab
params