v1.7-0

• Added faster torch.Tensor functions to fill/stat functions for speed
• Added mutate function to Dataseries
• __index__ access for Df_Array
• More complete documentation for Df_Array and specs
• Df_Dict elements can be accessed using myDict[index] or myDict["$colname"]
• Df_Dict key property available. It list the Df_Dict's keys
• Df_Dict length property available. It list by key, the length of its content
• Df_Dict check_length() checks if all elements have the same length
• Df_Dict set_keys(table) replaces every keys by the given table (must be the same size)
• More complete documentation for Df_Dict and specs
• More complete documentation for Df_Tbl and specs
• Internal methods _infer_csvigo_schema() and _infer_data_schema() renamed to _infer_schema()
• Type inference is now based on type frequences but if it encounter a single double/float in a integer column it will consider the column as double/float
• it is now possible to directly set a schema for a Dataframe without any checks with set_schema(). Use it wisely
• Possibility to init a Dataframe with a schema, a column order and a number of rows with internal method _init_with_schema()
• Added bulk_load_csv() method wich loads large CSVs files using threads but without checking missing values or data integrity. To use with caution. See #28
• Added load_threadcsv()
• Added the possiblity to create empty Dataseries
• Added Dataseries load() method to directly load a tensor or tds.Vec in memory without any check
• Added iris dataset in /specs/data
• New specs structure
• Fixed csv loading when no header and test case according to it
• Changed assert_is_index return value to true on success instead of self