Via:
think iter(lnum(0,255),"%i0" => "[colors(xterm%i0,c)]",%b,%,%r)
We get Rhost’s downgrade mapping. (The ‘c’ argument to colors says use-this-named-color and give me its ansi downgrade value)
{
"0" => "x",
"1" => "r",
"2" => "g",
"3" => "y",
"4" => "b",
"5" => "m",
"6" => "c",
"7" => "w",
"8" => "xh",
"9" => "rh",
"10" => "gh",
"11" => "yh",
"12" => "bh",
"13" => "mh",
"14" => "ch",
"15" => "wh",
"16" => "x",
"17" => "b",
"18" => "b",
"19" => "b",
"20" => "bh",
"21" => "bh",
"22" => "g",
"23" => "c",
"24" => "b",
"25" => "bh",
"26" => "bh",
"27" => "bh",
"28" => "gh",
"29" => "g",
"30" => "c",
"31" => "bh",
"32" => "bh",
"33" => "bh",
"34" => "gh",
"35" => "gh",
"36" => "ch",
"37" => "ch",
"38" => "bh",
"39" => "bh",
"40" => "gh",
"41" => "gh",
"42" => "gh",
"43" => "ch",
"44" => "ch",
"45" => "ch",
"46" => "gh",
"47" => "gh",
"48" => "gh",
"49" => "ch",
"50" => "ch",
"51" => "ch",
"52" => "r",
"53" => "m",
"54" => "m",
"55" => "mh",
"56" => "bh",
"57" => "bh",
"58" => "g",
"59" => "g",
"60" => "c",
"61" => "bh",
"62" => "bh",
"63" => "bh",
"64" => "g",
"65" => "g",
"66" => "g",
"67" => "c",
"68" => "c",
"69" => "bh",
"70" => "gh",
"71" => "g",
"72" => "g",
"73" => "c",
"74" => "ch",
"75" => "ch",
"76" => "gh",
"77" => "gh",
"78" => "gh",
"79" => "ch",
"80" => "ch",
"81" => "ch",
"82" => "gh",
"83" => "gh",
"84" => "gh",
"85" => "gh",
"86" => "ch",
"87" => "ch",
"88" => "r",
"89" => "r",
"90" => "m",
"91" => "m",
"92" => "mh",
"93" => "mh",
"94" => "r",
"95" => "r",
"96" => "m",
"97" => "m",
"98" => "mh",
"99" => "mh",
"100" => "y",
"101" => "y",
"102" => "g",
"103" => "c",
"104" => "bh",
"105" => "bh",
"106" => "g",
"107" => "g",
"108" => "g",
"109" => "c",
"110" => "ch",
"111" => "ch",
"112" => "gh",
"113" => "gh",
"114" => "gh",
"115" => "gh",
"116" => "ch",
"117" => "ch",
"118" => "gh",
"119" => "gh",
"120" => "gh",
"121" => "gh",
"122" => "wh",
"123" => "wh",
"124" => "r",
"125" => "m",
"126" => "m",
"127" => "mh",
"128" => "mh",
"129" => "mh",
"130" => "rh",
"131" => "rh",
"132" => "rh",
"133" => "mh",
"134" => "mh",
"135" => "mh",
"136" => "y",
"137" => "y",
"138" => "mh",
"139" => "mh",
"140" => "mh",
"141" => "mh",
"142" => "y",
"143" => "y",
"144" => "y",
"145" => "mh",
"146" => "mh",
"147" => "mh",
"148" => "yh",
"149" => "yh",
"150" => "gh",
"151" => "wh",
"152" => "wh",
"153" => "wh",
"154" => "yh",
"155" => "yh",
"156" => "yh",
"157" => "yh",
"158" => "wh",
"159" => "wh",
"160" => "r",
"161" => "rh",
"162" => "mh",
"163" => "mh",
"164" => "mh",
"165" => "mh",
"166" => "rh",
"167" => "rh",
"168" => "rh",
"169" => "mh",
"170" => "mh",
"171" => "mh",
"172" => "y",
"173" => "y",
"174" => "y",
"175" => "mh",
"176" => "mh",
"177" => "mh",
"178" => "y",
"179" => "y",
"180" => "yh",
"181" => "mh",
"182" => "mh",
"183" => "mh",
"184" => "y",
"185" => "y",
"186" => "yh",
"187" => "wh",
"188" => "wh",
"189" => "wh",
"190" => "yw",
"191" => "yw",
"192" => "yh",
"193" => "wh",
"194" => "wh",
"195" => "wh",
"196" => "rh",
"197" => "rh",
"198" => "rh",
"199" => "mh",
"200" => "mh",
"201" => "mh",
"202" => "rh",
"203" => "rh",
"204" => "rh",
"205" => "mh",
"206" => "mh",
"207" => "mh",
"208" => "rh",
"209" => "rh",
"210" => "mh",
"211" => "mh",
"212" => "mh",
"213" => "mh",
"214" => "yh",
"215" => "yh",
"216" => "wh",
"217" => "wh",
"218" => "wh",
"219" => "wh",
"220" => "yh",
"221" => "yh",
"222" => "yh",
"223" => "wh",
"224" => "wh",
"225" => "wh",
"226" => "yh",
"227" => "yh",
"228" => "yh",
"229" => "yh",
"230" => "wh",
"231" => "wh",
"232" => "x",
"233" => "x",
"234" => "xh",
"235" => "xh",
"236" => "xh",
"237" => "xh",
"238" => "xh",
"239" => "xh",
"240" => "xh",
"241" => "w",
"242" => "w",
"243" => "w",
"244" => "w",
"245" => "w",
"246" => "w",
"247" => "w",
"248" => "wh",
"249" => "wh",
"250" => "wh",
"251" => "wh",
"252" => "wh",
"253" => "wh",
"254" => "wh",
"255" => "wh"
}