Remove invisible ANSI color codes.

Return a string which represents a horizontal line.

Return a string which represents a row of data cells.

Format row according to DataRow format without padding.

>>> _isint("123") True >>> _isint("123.45") False

>>> _isnumber("123.45") True >>> _isnumber("123") True >>> _isnumber("spam") False

Format a fixed width table for pretty printing. >>> print(tabulate([[1, 2.34], [-56, "8.999"], ["2", "10001"]])) --- --------- 1

Symbols after a decimal point, -1 if the string lacks the decimal point. >>> _afterpoint("123.45") 2 >>> _afterpoint("1001") -1 >

[string] -> [padded_string] >>> list(map(str,_align_column(["12.345", "-1234.5", "1.23", "1234.5", "1e+234", "1.0e234"], "decimal"))) [' 12

Format a value accoding to its type. Unicode is supported: >>> hrow = ['\u0431\u0443\u043a\u0432\u0430', '\u0446\u0438\u0444\u0440\u0430'] ;

Produce a plain-text representation of the table.

Transform a supported data type to a list of lists, and a list of headers. Supported tabular data types: * list-of-lists or another iterable

Center string. >>> _padboth(6, '\u044f\u0439\u0446\u0430') == ' \u044f\u0439\u0446\u0430 ' True

Flush right. >>> _padleft(6, '\u044f\u0439\u0446\u0430') == ' \u044f\u0439\u0446\u0430' True

Flush left. >>> _padright(6, '\u044f\u0439\u0446\u0430') == '\u044f\u0439\u0446\u0430 ' True

Return a segment of a horizontal line with optional colons which indicate column's alignment (as in `pipe` output format).

The least generic type (type(None), int, float, str, unicode). >>> _type(None) is type(None) True >>> _type("foo") is type("") True

Create a semi-unique experiment name that has a timestamp :param exp_prefix: :param exp_id: :return:

Creates and returns a unique log directory. :param exp_prefix: All experiments with this prefix will have log directories be under this d

Convert each value in the dictionary into a JSON'able primitive. :param d: :return:

Set up logger to have some reasonable default settings. Will save log output to based_log_dir/exp_prefix/exp_name. exp_name will

Train the model for one step states: (batch_size, max_len, state_dim)

The least generic type all column values are convertible to. >>> _column_type(["1", "2"]) is _int_type True >>> _column_type(["1", "2.3"]

Initialize the weights.

Return a horizontal line with optional colons to indicate column's alignment (as in `pipe` output format).

Prunes heads of the model. heads_to_prune: dict of {layer_num: list of heads to prune in this layer}

Visible width of a printed string. ANSI color codes are removed. >>> _visible_width('\x1b[31mhello\x1b[0m'), _visible_width("world") (5, 5)