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Orc V[[U[R"SU555$r+)r/rrr.r/s rrHrHAs M288Hk#BC DDrc/nUHEn[U[5(aUHnURU5 M M4URU5 MG U$r )r r/r) nested_listretitemsubitems r _flat_listrQFsI C dD ! ! 7#  JJt   Jrc[XU5up[X4U5n[[Xp55n[ [ [ U55U5n U(GaVU(dPU(dIUV V s/sH8n SR U R5V s/sH o"X5PM sn 5PM: n n n U $UV V s/sH4n [R"SU 5V s/sHn [U 5PM sn PM6 n n n [X5VVVVs/sH,up[X5VVs/sHunnU UU- - PM snnPM. nnnnn[UU5V VV Vs/sHTupSR [U R5=(d U U5V Vs/sHun nU"UU 5PM snn 5PMV n n nn nU $U(d U(dUV s/sH o"X5PM n n U $[[[U55n [X5VVs/sHunnU UU- - PM nnn[UU5V Vs/sHun nU"UU 5PM n n nU $s sn fs sn n fs sn fs sn n fs snnfs snnnnfs snn fs snn nn fs sn fs snnfs snn f)ztring] -> [padded_string]rtr,) rErJr/rr-rQrF splitlinesrr.r1rE)r@rSminwidthrr:r;rAr<s_widthsmaxwidthmsrpadded_stringss_lensmwmlrArrvisible_widthss r _align_columnr]QsT0MRNG,HC*+H3z(+,h7H "!B r}}G!5-GH! 6 +JQQ2rxx"'=>'=!s1v'=>FQ"(33FB14B < 1QU# <3 "'>::FB 3 8M2PR3ST3S41a5A;3STU: N  :AB'QeH0'NB  #c7+,F=@=RS=RTQh!a%0=RNS7:'>6RS6RdaeAqk6RNS 5H ?Q<U CTTsr(#I H; I1I I %I ?I I*I 9I% I I% =I-9I2 I8;II I I% c [S5S[S[S[S[S[ S0n[ [[[[[S5S.n[ URUS5URUS55nX4$)Nrrrr)r`r_rrrr)r.rrrrr0r-rO)type1type2typesinvtypes moregenerics r _more_genericrfsw T A a Q q q Q  E      : Heiiq)599UA+>?K   rcnUVs/sHn[X1U5PM nn[[U[5$s snf)uThe least generic type all column values are convertible to. >>> _column_type([True, False]) is bool True >>> _column_type(["1", "2"]) is int True >>> _column_type(["1", "2.3"]) is float True >>> _column_type(["1", "2.3", "four"]) is str True >>> _column_type(["four", 'пять']) is str True >>> _column_type([None, "brux"]) is str True >>> _column_type([1, 2, None]) is int True >>> import datetime as dt >>> _column_type([dt.datetime(1991,2,19), dt.time(17,35)]) is str True )rr rfr)r@rrrrcs r _column_typerhs5,9@ @1U1X .E @ - -- As2cUcU$U[LaU$U[La [X5$U[La [US5$U[ LalU=(a [U[[45nU(a1[U5n[[ U5U5nURXx5$[[ U5U5$U$![[ 4a [U5s$f=f)uFormat a value according to its type. Unicode is supported: >>> hrow = ['буква', 'цифра'] ; tbl = [['аз', 2], ['буки', 4]] ; good_result = '\u0431\u0443\u043a\u0432\u0430 \u0446\u0438\u0444\u0440\u0430\n------- -------\n\u0430\u0437 2\n\u0431\u0443\u043a\u0438 4' ; tabulate(tbl, headers=hrow) == good_result True ascii) r0rrgrrrrr rreplace) rvaltypefloatfmtintfmt missingvalris_a_colored_numberraw_val formatted_vals r_formatrss {#~ Cc"" E  sG$ $ E +M 3e 0M !#&G"5>84;nUS:XaUb [AXd5nO[U[B5(aU(d[AU[U55nO[U[D5(aU(d [AXb5nOgUS:Xd[GU5(a3U(d,Uc[[;[U555n[AXd5nOUS:Xd[GU5(dU(dU(a:[U5S :a+[U5n[US 5nUU:a S/UU- -U-nXa4$![a Sn[U5nGN!f=fs snfs sn fs sn fs sn fs sn nfs sn fs sn fs snfs snnf)aTransform a supported data type to a list of lists, and a list of headers. Supported tabular data types: * list-of-lists or another iterable of iterables * list of named tuples (usually used with headers="keys") * list of dicts (usually used with headers="keys") * list of OrderedDicts (usually used with headers="keys") * list of dataclasses (Python 3.7+ only, usually used with headers="keys") * 2D NumPy arrays * NumPy record arrays (usually used with headers="keys") * dict of iterables (usually used with headers="keys") * pandas.DataFrame (usually used with headers="keys") The first row can be used as headers if headers="firstrow", column indices can be used as headers if headers="keys". If showindex="default", show row indices of the pandas.DataFrame. If showindex="always", show row indices for all types of data. If showindex="never", don't show row indices for all types of data. If showindex is an iterable, show its values as row indices. FTNkeysr___call__r)ralwaysTrz7tabular data doesn't appear to be a dict or a DataFramedtypenames_fieldsfirstrowrz6headers for a list of dicts is not a dict or a keyword descriptionfetchonerowcountc<[U5(aU$[U5$r )r6r/)rss rr6)_normalize_tabular_data..s#6q#9#9aFtAwFrrrneverr)$rrr/rr_r izip_longestrnamer rr0getattrrrr1tuplersetextendupdateradddictrOr dataclasses is_dataclassfieldsranger.rrrrr) tabular_datar showindexis_headers2bool_brokenrrrvalsr3 uniq_keys firstdictkcolumnfield field_namesrshowindex_is_a_strnhsncolss r_normalize_tabular_datars[B  W !& E|V$$x)H)H <&& 3 3$$&Dl1134D\7 + + %D88 &&++7l0055t<<+1166D!H , 2 2 7 78D!H&&D++,E)-.#DID.DVW W f 3sD>*GL! f TG v  g.. **G44#((..G v D A 47E**Q++3sDGOO45G Y]wtAw77GDGX0 ]9] ]&]]* ]3] ]\10\1]]c[U[US5S5n/nUHn/n[XAU5Hupgn[U5(aU(aUR U5 M0Ubh[ US9n [U5(a [ U5O[Xh5"U5n U RU 5n UR SRU 55 MUR U5 M UR U5 M U$)NrT)rrt) _expand_iterabler1rErr_CustomTextWrapr0rwraprF) list_of_listsrG numparsesresultr3rrrrwrapper casted_cellwrappeds r_wrap_text_to_colwidthsrs C a0@,A4HI F%(%C !D8t$ )6 "+4CIeD6KD6Q",,{3tyy12t$!&D"  g'* Mrc`[U[5(aURXS9$[U5$)a A type safe wrapper for converting a bytestring to str. This is essentially just a wrapper around .decode() intended for use with things like map(), but with some specific behavior: 1. if the given parameter is not a bytestring, it is returned unmodified 2. decode() is called for the given parameter and assumes utf8 encoding, but the default error behavior is changed from 'strict' to 'ignore' >>> repr(_to_str(b'foo')) "'foo'" >>> repr(_to_str('foo')) "'foo'" >>> repr(_to_str(42)) "'42'" )encodingerrors)r rrr0)rrrs r_to_strrs+(!Uxxx99 q6Mrr>c ^0Uc/n[XUS9up[U5upU bT[US5n[U [5(a[ U UU 5n O [ U US5n [ U U5n[XUS9nU bY[US5n[U [5(a[ U UU 5n O [ U US5n [ U U5n[U/U US9SnUS:Xa [X5up[nUS:Xa!SnSn U[:XaSOUnU[:XaSOUnOU[:XaS OUnU[:XaS OUnS R[[[U5[R"S U5555n[ R#U5SLn[$SL=(a [&n[U[(5(d2U[*;a([-U5(a[*R/X"5nSnOS n[1UUU5m0[3[5U65n[ U [U55n[7UU5VVs/sHunn[9UUS9PM nnn[U[:5(a[U5U/-nOQ[3U5n[U5[U5:a.UR=[U5[U5- [>/-5 [U[:5(a[U5U/-nOQ[3U5n[U5[U5:a.UR=[U5[U5- [@/-5 [U[:5(a[U5U/-nOQ[3U5n[U5[U5:a.UR=[U5[U5- [B/-5 [7UUUUU5VVV V!V"V#s/sH*unnn n!n"UV#s/sHn#[EU#UU U!U"U5PM sn#PM, nn"n!n nnn#UVs/sHnU[[F4;aUOUPM n$nU b1[U [H5(de[KU 5H un%n&U&U$U%'M U(aUV's/sHn'T0"U'5U-PM sn'OS/[U5-n([7UU$U(5VV)V*s/sHunn)n*[MUU)U*UUU5PM nn)nn*U(aU=(d S//[U5-n+U$=(d U/[U5-n,[7U(U+5V*Vs/sH%un*n[OU*[OU04SjU555PM' n(n*n[7UU,U(5V'V)V*s/sHun'n)n*[QU'U)U*T0"U'5UT05PM nn)n'n*[3[7U65n-O6UVs/sHn[OU04SjU55PM n(n[3[7U65n-[U[(5(d[RR/U[RS5n[U [:5(aU OSn.[ U [U-5U.5n/[UU-U5 [WX!U-U(U$UU/S9$s snnfs sn#fs sn#n"n!n nnfs snfs sn'fs sn*n)nfs snn*fs sn*n)n'fs snf)uDFormat a fixed width table for pretty printing. >>> print(tabulate([[1, 2.34], [-56, "8.999"], ["2", "10001"]])) --- --------- 1 2.34 -56 8.999 2 10001 --- --------- The first required argument (`tabular_data`) can be a list-of-lists (or another iterable of iterables), a list of named tuples, a dictionary of iterables, an iterable of dictionaries, an iterable of dataclasses (Python 3.7+), a two-dimensional NumPy array, NumPy record array, or a Pandas' dataframe. Table headers ------------- To print nice column headers, supply the second argument (`headers`): - `headers` can be an explicit list of column headers - if `headers="firstrow"`, then the first row of data is used - if `headers="keys"`, then dictionary keys or column indices are used Otherwise a headerless table is produced. If the number of headers is less than the number of columns, they are supposed to be names of the last columns. This is consistent with the plain-text format of R and Pandas' dataframes. >>> print(tabulate([["sex","age"],["Alice","F",24],["Bob","M",19]], ... headers="firstrow")) sex age ----- ----- ----- Alice F 24 Bob M 19 By default, pandas.DataFrame data have an additional column called row index. To add a similar column to all other types of data, use `showindex="always"` or `showindex=True`. To suppress row indices for all types of data, pass `showindex="never" or `showindex=False`. To add a custom row index column, pass `showindex=some_iterable`. >>> print(tabulate([["F",24],["M",19]], showindex="always")) - - -- 0 F 24 1 M 19 - - -- Column alignment ---------------- `tabulate` tries to detect column types automatically, and aligns the values properly. By default it aligns decimal points of the numbers (or flushes integer numbers to the right), and flushes everything else to the left. Possible column alignments (`numalign`, `stralign`) are: "right", "center", "left", "decimal" (only for `numalign`), and None (to disable alignment). Table formats ------------- `intfmt` is a format specification used for columns which contain numeric data without a decimal point. This can also be a list or tuple of format strings, one per column. `floatfmt` is a format specification used for columns which contain numeric data with a decimal point. This can also be a list or tuple of format strings, one per column. `None` values are replaced with a `missingval` string (like `floatfmt`, this can also be a list of values for different columns): >>> print(tabulate([["spam", 1, None], ... ["eggs", 42, 3.14], ... ["other", None, 2.7]], missingval="?")) ----- -- ---- spam 1 ? eggs 42 3.14 other ? 2.7 ----- -- ---- Various plain-text table formats (`tablefmt`) are supported: 'plain', 'simple', 'grid', 'pipe', 'orgtbl', 'rst', 'mediawiki', 'latex', 'latex_raw', 'latex_booktabs', 'latex_longtable' and tsv. Variable `tabulate_formats`contains the list of currently supported formats. "plain" format doesn't use any pseudographics to draw tables, it separates columns with a double space: >>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], ... ["strings", "numbers"], "plain")) strings numbers spam 41.9999 eggs 451 >>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], tablefmt="plain")) spam 41.9999 eggs 451 "simple" format is like Pandoc simple_tables: >>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], ... ["strings", "numbers"], "simple")) strings numbers --------- --------- spam 41.9999 eggs 451 >>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], tablefmt="simple")) ---- -------- spam 41.9999 eggs 451 ---- -------- "grid" is similar to tables produced by Emacs table.el package or Pandoc grid_tables: >>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], ... ["strings", "numbers"], "grid")) +-----------+-----------+ | strings | numbers | +===========+===========+ | spam | 41.9999 | +-----------+-----------+ | eggs | 451 | +-----------+-----------+ >>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], tablefmt="grid")) +------+----------+ | spam | 41.9999 | +------+----------+ | eggs | 451 | +------+----------+ "simple_grid" draws a grid using single-line box-drawing characters: >>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], ... ["strings", "numbers"], "simple_grid")) ┌───────────┬───────────┐ │ strings │ numbers │ ├───────────┼───────────┤ │ spam │ 41.9999 │ ├───────────┼───────────┤ │ eggs │ 451 │ └───────────┴───────────┘ "rounded_grid" draws a grid using single-line box-drawing characters with rounded corners: >>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], ... ["strings", "numbers"], "rounded_grid")) ╭───────────┬───────────╮ │ strings │ numbers │ ├───────────┼───────────┤ │ spam │ 41.9999 │ ├───────────┼───────────┤ │ eggs │ 451 │ ╰───────────┴───────────╯ "heavy_grid" draws a grid using bold (thick) single-line box-drawing characters: >>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], ... ["strings", "numbers"], "heavy_grid")) ┏━━━━━━━━━━━┳━━━━━━━━━━━┓ ┃ strings ┃ numbers ┃ ┣━━━━━━━━━━━╋━━━━━━━━━━━┫ ┃ spam ┃ 41.9999 ┃ ┣━━━━━━━━━━━╋━━━━━━━━━━━┫ ┃ eggs ┃ 451 ┃ ┗━━━━━━━━━━━┻━━━━━━━━━━━┛ "mixed_grid" draws a grid using a mix of light (thin) and heavy (thick) lines box-drawing characters: >>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], ... ["strings", "numbers"], "mixed_grid")) ┍━━━━━━━━━━━┯━━━━━━━━━━━┑ │ strings │ numbers │ ┝━━━━━━━━━━━┿━━━━━━━━━━━┥ │ spam │ 41.9999 │ ├───────────┼───────────┤ │ eggs │ 451 │ ┕━━━━━━━━━━━┷━━━━━━━━━━━┙ "double_grid" draws a grid using double-line box-drawing characters: >>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], ... ["strings", "numbers"], "double_grid")) ╔═══════════╦═══════════╗ ║ strings ║ numbers ║ ╠═══════════╬═══════════╣ ║ spam ║ 41.9999 ║ ╠═══════════╬═══════════╣ ║ eggs ║ 451 ║ ╚═══════════╩═══════════╝ "fancy_grid" draws a grid using a mix of single and double-line box-drawing characters: >>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], ... ["strings", "numbers"], "fancy_grid")) ╒═══════════╤═══════════╕ │ strings │ numbers │ ╞═══════════╪═══════════╡ │ spam │ 41.9999 │ ├───────────┼───────────┤ │ eggs │ 451 │ ╘═══════════╧═══════════╛ "outline" is the same as the "grid" format but doesn't draw lines between rows: >>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], ... ["strings", "numbers"], "outline")) +-----------+-----------+ | strings | numbers | +===========+===========+ | spam | 41.9999 | | eggs | 451 | +-----------+-----------+ >>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], tablefmt="outline")) +------+----------+ | spam | 41.9999 | | eggs | 451 | +------+----------+ "simple_outline" is the same as the "simple_grid" format but doesn't draw lines between rows: >>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], ... ["strings", "numbers"], "simple_outline")) ┌───────────┬───────────┐ │ strings │ numbers │ ├───────────┼───────────┤ │ spam │ 41.9999 │ │ eggs │ 451 │ └───────────┴───────────┘ "rounded_outline" is the same as the "rounded_grid" format but doesn't draw lines between rows: >>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], ... ["strings", "numbers"], "rounded_outline")) ╭───────────┬───────────╮ │ strings │ numbers │ ├───────────┼───────────┤ │ spam │ 41.9999 │ │ eggs │ 451 │ ╰───────────┴───────────╯ "heavy_outline" is the same as the "heavy_grid" format but doesn't draw lines between rows: >>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], ... ["strings", "numbers"], "heavy_outline")) ┏━━━━━━━━━━━┳━━━━━━━━━━━┓ ┃ strings ┃ numbers ┃ ┣━━━━━━━━━━━╋━━━━━━━━━━━┫ ┃ spam ┃ 41.9999 ┃ ┃ eggs ┃ 451 ┃ ┗━━━━━━━━━━━┻━━━━━━━━━━━┛ "mixed_outline" is the same as the "mixed_grid" format but doesn't draw lines between rows: >>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], ... ["strings", "numbers"], "mixed_outline")) ┍━━━━━━━━━━━┯━━━━━━━━━━━┑ │ strings │ numbers │ ┝━━━━━━━━━━━┿━━━━━━━━━━━┥ │ spam │ 41.9999 │ │ eggs │ 451 │ ┕━━━━━━━━━━━┷━━━━━━━━━━━┙ "double_outline" is the same as the "double_grid" format but doesn't draw lines between rows: >>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], ... ["strings", "numbers"], "double_outline")) ╔═══════════╦═══════════╗ ║ strings ║ numbers ║ ╠═══════════╬═══════════╣ ║ spam ║ 41.9999 ║ ║ eggs ║ 451 ║ ╚═══════════╩═══════════╝ "fancy_outline" is the same as the "fancy_grid" format but doesn't draw lines between rows: >>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], ... ["strings", "numbers"], "fancy_outline")) ╒═══════════╤═══════════╕ │ strings │ numbers │ ╞═══════════╪═══════════╡ │ spam │ 41.9999 │ │ eggs │ 451 │ ╘═══════════╧═══════════╛ "pipe" is like tables in PHP Markdown Extra extension or Pandoc pipe_tables: >>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], ... ["strings", "numbers"], "pipe")) | strings | numbers | |:----------|----------:| | spam | 41.9999 | | eggs | 451 | "presto" is like tables produce by the Presto CLI: >>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], ... ["strings", "numbers"], "presto")) strings | numbers -----------+----------- spam | 41.9999 eggs | 451 >>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], tablefmt="pipe")) |:-----|---------:| | spam | 41.9999 | | eggs | 451 | "orgtbl" is like tables in Emacs org-mode and orgtbl-mode. They are slightly different from "pipe" format by not using colons to define column alignment, and using a "+" sign to indicate line intersections: >>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], ... ["strings", "numbers"], "orgtbl")) | strings | numbers | |-----------+-----------| | spam | 41.9999 | | eggs | 451 | >>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], tablefmt="orgtbl")) | spam | 41.9999 | | eggs | 451 | "rst" is like a simple table format from reStructuredText; please note that reStructuredText accepts also "grid" tables: >>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], ... ["strings", "numbers"], "rst")) ========= ========= strings numbers ========= ========= spam 41.9999 eggs 451 ========= ========= >>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], tablefmt="rst")) ==== ======== spam 41.9999 eggs 451 ==== ======== "mediawiki" produces a table markup used in Wikipedia and on other MediaWiki-based sites: >>> print(tabulate([["strings", "numbers"], ["spam", 41.9999], ["eggs", "451.0"]], ... headers="firstrow", tablefmt="mediawiki")) {| class="wikitable" style="text-align: left;" |+ |- ! strings !! align="right"| numbers |- | spam || align="right"| 41.9999 |- | eggs || align="right"| 451 |} "html" produces HTML markup as an html.escape'd str with a ._repr_html_ method so that Jupyter Lab and Notebook display the HTML and a .str property so that the raw HTML remains accessible the unsafehtml table format can be used if an unescaped HTML format is required: >>> print(tabulate([["strings", "numbers"], ["spam", 41.9999], ["eggs", "451.0"]], ... headers="firstrow", tablefmt="html"))
strings numbers
spam 41.9999
eggs 451
"latex" produces a tabular environment of LaTeX document markup: >>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], tablefmt="latex")) \begin{tabular}{lr} \hline spam & 41.9999 \\ eggs & 451 \\ \hline \end{tabular} "latex_raw" is similar to "latex", but doesn't escape special characters, such as backslash and underscore, so LaTeX commands may embedded into cells' values: >>> print(tabulate([["spam$_9$", 41.9999], ["\\emph{eggs}", "451.0"]], tablefmt="latex_raw")) \begin{tabular}{lr} \hline spam$_9$ & 41.9999 \\ \emph{eggs} & 451 \\ \hline \end{tabular} "latex_booktabs" produces a tabular environment of LaTeX document markup using the booktabs.sty package: >>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], tablefmt="latex_booktabs")) \begin{tabular}{lr} \toprule spam & 41.9999 \\ eggs & 451 \\ \bottomrule \end{tabular} "latex_longtable" produces a tabular environment that can stretch along multiple pages, using the longtable package for LaTeX. >>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], tablefmt="latex_longtable")) \begin{longtable}{lr} \hline spam & 41.9999 \\ eggs & 451 \\ \hline \end{longtable} Number parsing -------------- By default, anything which can be parsed as a number is a number. This ensures numbers represented as strings are aligned properly. This can lead to weird results for particular strings such as specific git SHAs e.g. "42992e1" will be parsed into the number 429920 and aligned as such. To completely disable number parsing (and alignment), use `disable_numparse=True`. For more fine grained control, a list column indices is used to disable number parsing only on those columns e.g. `disable_numparse=[0, 2]` would disable number parsing only on the first and third columns. Column Widths and Auto Line Wrapping ------------------------------------ Tabulate will, by default, set the width of each column to the length of the longest element in that column. However, in situations where fields are expected to reasonably be too long to look good as a single line, tabulate can help automate word wrapping long fields for you. Use the parameter `maxcolwidth` to provide a list of maximal column widths >>> print(tabulate( [('1', 'John Smith', 'This is a rather long description that might look better if it is wrapped a bit')], headers=("Issue Id", "Author", "Description"), maxcolwidths=[None, None, 30], tablefmt="grid" )) +------------+------------+-------------------------------+ | Issue Id | Author | Description | +============+============+===============================+ | 1 | John Smith | This is a rather long | | | | description that might look | | | | better if it is wrapped a bit | +------------+------------+-------------------------------+ Header column width can be specified in a similar way using `maxheadercolwidth` N)rr)rrrTr<r9r=rc3B# UHn[[U5v M g7fr )rr)r[r3s rr]tabulate..=sK]cGS 1 1]sF)rrc34># UH nT"U5v M g7fr r>r[clr<s rr]rs32(2,,c34># UH nT"U5v M g7fr r>rs rr]rs2""rr) rowaligns),rrr1r rr_expand_numparserr MIN_PADDING_DEFAULT_ALIGNrFrrr from_iterablerr&r r!r$multiline_formatsr)rOr=r/rrErhr0r_DEFAULT_FLOATFMT_DEFAULT_INTFMT_DEFAULT_MISSINGVALrsrrr|r]r-ru_table_formatsr _format_table)1rrtablefmtrmrnnumalignstralignrordisable_numparser maxcolwidthsrowalignmaxheadercolwidthsrr}num_colsr min_padding plain_textrr:r;colscolnpcoltypes float_formats int_formats missing_valsrTctfl_fmtint_fmtmiss_vr\alignsidxr?rx minwidthsrIminwt_colst_alignsr ra_defaultrr<s1 @rrrsFZ 4M'?}&M#M}Q'( lC ( (+L(LQL+L(DIL$%5x@ / 9 %}Q'( (# . .!1"H.@" "22DhPT!U $%5x@ ) I)Y   5!9-!Q K8 '>98x'>98x (N :9%76X  !   K]K K  J &&z2$>Md*> x - - ) ) * % %$((<   /?NH  m, -D !13t9=I>A$ >RS>R73 S2.>RHS(C  D %  X } D )  #d)c-.@"@EVDW!W X&#$i #  6l { c$i '   D C ,< <@QQ R*c""4yJ</ J' | s4y (   TS->!>CVBW W X/2 (M; /   / *Ar67FJKKAB ?K/   FN NXr"e ,h(:XF N(H----#H-JCF3K.9@G4Gq!{ "G4aS3t9_ dFI6 6JAq$ aD-1A<P6   .2$#g,.6hZ#g,6y&1 1a c333 41  "'8Y? ? 1d !Qhqk< J?  CJ<@ADqS222D ACJ h , ,!%%hx0HI'#66DJ 3t9jAIt%56 4FLI IT0 L O 5   BsB*X#<X. X)&X.8X8X=Y8,Y 8$Y6Y)X.cl[U[5(aS/U-nUHnSX#'M U$U(+/U-$)a* Return a list of bools of length `column_count` which indicates whether number parsing should be used on each column. If `disable_numparse` is a list of indices, each of those indices are False, and everything else is True. If `disable_numparse` is a bool, then the returned list is all the same. TF)r r)r column_countrrs rrrsG"H--F\) %E$I &$$% 44rc[U[5(a)[U[5(dX/U[U5- --$U/U-$)aA Expands the `original` argument to return a return a list of length `num_desired`. If `original` is shorter than `num_desired`, it will be padded with the value in `default`. 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UR=(d [S S S S 5nUH7n[U5(a[X|UU5 M"U"UUXUR5 M9 UR(aS U;a[X|X@R5 U(dU(a2S R!U5nUR[":Xa [%U5$U$g s sn fs snf) z1Produce a plain-text representation of the table.rcU$r r>)r3rs rr6_format_table..# sr)rr%r&r'Nr)rrr(rt)r,r+r)r rrrr%rr&r'rEr*r(rr6rFrdr )rrrrGrHr;rrhiddenrr)rArpad_row append_rowpadded_headersr3 padded_rowsralignseparating_lineoutputs rrr s: E&-#2F2FS ! !RF ++C I,56Iq!c'kIM6$2< & W*N04573$K5 }}F2U9mmD5-IN   #4F#B y:M:M Ns**/@/N{3B/;KC sMckkF  y:M:M N <   O   KKr]      $"" $}} $}} $BB# C#3''U9oN5#}M  }}F2U9mmD$5! ==< <!&) )M{76s J  Jc@\rSrSrSrSr\S5rSrSr Sr Sr g ) ria aGA custom implementation of CPython's textwrap.TextWrapper. This supports both wide characters (Korea, Japanese, Chinese) - including mixed string. 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Options: -h, --help show this message -1, --header use the first row of data as a table header -o FILE, --output FILE print table to FILE (default: stdout) -s REGEXP, --sep REGEXP use a custom column separator (default: whitespace) -F FPFMT, --float FPFMT floating point number format (default: g) -I INTFMT, --int INTFMT integer point number format (default: "") -f FMT, --format FMT set output table format; supported formats: plain, simple, grid, fancy_grid, pipe, orgtbl, rst, mediawiki, html, latex, latex_raw, latex_booktabs, latex_longtable, tsv (default: simple) rNrz h1o:s:F:A:f:)helpror9zsep=zfloat=zint=zalign=zformat=rrz\s+r:)z-1z--headerr)z-oz--output)z-Fz--float)z-Iz--int)z-Cz --colalign)z-fz--formatz"%s is not a supported table formatr)z-sz--sep)z-hz--helprA)rrr!rmrnfiler)getoptsysr>dedent_mainr,argv GetoptErrorprintexitrrr.rstdinstdoutopenr _pprint_file)rnror>usageoptsrrrrmrnrrr!outfileoptvaluefilesoutrfobjs rrqrq) s0 OOEMM *E ]] HHQRL  W G H FHH CG  $ $ G & &G % %H O #F ( ({{}H & &,,:UBCe  H O #C $ $ %L HHQK+, $SYYKE3#**D#,> >3ACxII{{#%%!% !W  '!)!)% !) 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M n`  ;"dB'D"% a nt &%-' -/wB+-. u-% I nb ~22456  W h F=  N  , ,=, F h F h h F  5!:::m,M22 &| &| rl     6  6 c#$jj)2::6 JJ/66v> K"#%::E$ (DB,   F: /($:14D 4 >AE  .b!*.4!JKO'. 0 ({|:6      "  H V5" '; 7 0TX, ; S DNEh**EP_D   z GWTG  s#e?f?f  f ff