Ti%)SrSSKJr SSKJr SSKJrJrJr Sr Sr Sr Sr S r S rS rS rS rSrSrSrSrSrSrSrSrSr/SQrSrSrSrSSS.Sjrg)zModule to generate ascii charts. This module provides a single function `plot` that can be used to generate an ascii chart from a series of numbers. The chart can be configured via several options to tune the output. ) annotations)Mapping)ceilfloorisnanzzzzzzzzzzzzzzzzzz)plotblackredgreenyellowbluemagentacyan lightgraydefaultdarkgraylightred lightgreen lightyellow lightblue lightmagenta lightcyanwhiteresetc"[U5(+$Nr)ns _/var/www/html/ai-image-ml/venv/lib/python3.13/site-packages/onnx_ir/_thirdparty/asciichartpy.py_isnumr RsQx<c*U(dU$X-[-$r)r)charcolors rcoloredr%Vs  |e##r!) u┼u┤u╶u╴u─u╰u╭u╮u╯u│N) bin_edgescfgc ^-^.^/^0^1[U5S:Xag[US[5(d[SU55(agU/nUb [U[5(d [ S5eU=(d 0nUR SS/5nUR S[[[UVVs/sH oDHoUPM M snn555m0UR S[[[UVVs/sH oDHoUPM M snn555m.UR S [5nT0T.:a [S 5eT.T0- nUR S S 5nUR S U5n US:aX- OSm1[T0T1-5m/[T.T1-5n U.U04Sjm-U-U/U14Sjn U T/- n Sn UHn[U [U55n M X- n UR SS5nUR SS5n[U S-5Vs/sH nS/U -PM nn[T/U S-5HfnUR!T.UT/- U-U (aU OS- - 5nUUUT/- [U[U5- S5'US:XaUSOUSUUT/- US- 'Mh USSn[U5(aUSUX"U5- US- '[#U5GHupNX4[U5-n[[U5S- 5GHnUUS-nUUS-n[%U5(a[%U5(aM6[%U5(a2[U5(a"['USU5UX"U5- UU-'Mx[U5(a2[%U5(a"['US U5UX"U5- UU-'MU "U5nU "U5nUU:Xa['USU5UU U- UU-'MUU:a['USU5O['USU5UU U- UU-'UU:a['USU5O['USU5UU U- UU-'[UU5S-n[UU5n[UU5Hn['USU5UU U- UU-'M GM GM SR)UVs/sH"nSR)U5R+5PM$ sn5nUb[U5S:XaU$SnU[W5-nUR!US5n [U 5n![SUU!- 5n"/n#U U!S--n$Sn%U U!U%--n&[U5n'[U'U&5n(U(S- n)[U%U$U(U!-- U)-5n*UU$:aO[-UU$- U'-5n+UR!UU+5n U#R/U 5 U[U 5U*-- nUU$:aMOSU"-SU*-R)U#5-n,US-U,-$s snnfs snnfs snfs snf)u0 Generate an ascii chart for a series of numbers. `series` should be a list of ints or floats. Missing data values in the series can be specified as a NaN. In Python versions less than 3.5, use float("nan") to specify an NaN. With 3.5 onwards, use math.nan to specify a NaN. >>> series = [1,2,3,4,float("nan"),4,3,2,1] >>> print(plot(series)) 4.00 ┤ ╭╴╶╮ 3.00 ┤ ╭╯ ╰╮ 2.00 ┤╭╯ ╰╮ 1.00 ┼╯ ╰ `series` can also be a list of lists to support multiple data series. >>> series = [[10,20,30,40,30,20,10], [40,30,20,10,20,30,40]] >>> print(plot(series, cfg={'height': 3})) 40.00 ┤╮ ╭╮ ╭ 30.00 ┤╰╮╯╰╭╯ 20.00 ┤╭╰╮╭╯╮ 10.00 ┼╯ ╰╯ ╰ `bin_edges` is an optional list of bin edges to display on the x-axis. If provided, the x-axis will be labeled with the bin edges. If there are too many bin edges to fit on the x-axis, some labels will be dropped and they will be spaced out evenly to fit the width of the chart. The labels will be formatted using the `x_format` option in `cfg`. `cfg` is an optional dictionary of various parameters to tune the appearance of the chart. `min` and `max` will clamp the y-axis and all values: >>> series = [1,2,3,4,float("nan"),4,3,2,1] >>> print(plot(series, cfg={'min': 0})) 4.00 ┼ ╭╴╶╮ 3.00 ┤ ╭╯ ╰╮ 2.00 ┤╭╯ ╰╮ 1.00 ┼╯ ╰ 0.00 ┤ >>> print(plot(series, cfg={'min': 2})) 4.00 ┤ ╭╴╶╮ 3.00 ┤ ╭╯ ╰╮ 2.00 ┼─╯ ╰─ >>> print(plot(series, cfg={'min': 2, 'max': 3})) 3.00 ┤ ╭─╴╶─╮ 2.00 ┼─╯ ╰─ `height` specifies the number of rows the graph should occupy. It can be used to scale down a graph with large data values: >>> series = [10,20,30,40,50,40,30,20,10] >>> print(plot(series, cfg={'height': 4})) 50.00 ┤ ╭╮ 40.00 ┤ ╭╯╰╮ 30.00 ┤ ╭╯ ╰╮ 20.00 ┤╭╯ ╰╮ 10.00 ┼╯ ╰ `format` specifies a Python format string used to format the labels on the y-axis. The default value is "{:8.2f} ". This can be used to remove the decimal point: >>> series = [10,20,30,40,50,40,30,20,10] >>> print(plot(series, cfg={'height': 4, 'format':'{:8.0f}'})) 50 ┤ ╭╮ 40 ┤ ╭╯╰╮ 30 ┤ ╭╯ ╰╮ 20 ┤╭╯ ╰╮ 10 ┼╯ ╰ rc38# UHn[U5v M g7frr).0rs r plot..s(AuQxxsNz cfg must be a dictionary or Nonecolorsminmaxsymbolsz*The min value cannot exceed the max value.offsetheightc0>[[UT5T5$r)r/r0)rmaximumminimums rclampplot..clamps3q'?G,,r!cD>[[T"U5T-5T- 5$r)intround)yr9min2ratios rscaledplot..scaleds!5qE)*T122r!formatz{:8.2f} x_formatz{:4.4f}   )len isinstancelistallr TypeErrorgetr/filterr r0_DEFAULT_SYMBOLS ValueErrorrrrangerC enumeraterr%joinrstripr<append)2seriesr&r'r.ijr1intervalr2r4max2rArowswidthseries_i placeholder x_placeholderresultr>labeld0r$xd1y0y1startendrowthe_plotcurrent_location leading_spacex_label x_label_sizex_leading_spacex_labelsworkable_width min_spacingnum_labels_can_fit labels_countnum_labels_to_display num_spacesspacing bin_index x_labels_textr9r7r?r8r@s2 @@@@@rrr`sR 6{a fQi & & (( ( (XF z#w77:;; )C WWXv &FggeSF0NFqAqAF0N!OPQGggeSF0NFqAqAF0N!OPQGggi!12GEFF H WWXq !F WWXx (F!)AF 1E 5 !D % D-3 $;D EE3x=) OE''(J/KGGJ 2M%*4!8_ 5_seem_F 54 """7q4x8.CttYZ.[#\]8=q4xVc%j0!4556!Vwqzq4x!$# 1B bzz07 tfRj !&1*- ( 3v;'s8}q()A!a%B!a%BRyyU2YYRyyVBZZ8? E8RtfRj()!f*5bzzeBii8? E8RtfRj()!f*5BBRx07 E0Jtby!!f*-/12g E*771:u;U 4"9 a&j )/12g E*771:u;U 4"9 a&j )BK!OEb"+C5#&/6wqz5/Itax V,'=* )Jyy6B6C"''#,--/6BCHC Na/SZ'M""9Q<0Gwy>L .@A&*J /,> >:MG ^ +)N:lJK &&y';< CL722 ^ +/)S7],@,@,JJM d?] **{1O0N>6dCs*W.W6W )W%) __doc__ __future__rcollections.abcrmathrrrr r r r r rrrrrrrrrrrrr__all__r r%rUrr!rrs.####             6$Z#V+r!