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True >>> _isnumber_with_thousands_separator(".1") True >>> _isnumber_with_thousands_separator("1000") False >>> _isnumber_with_thousands_separator("1,000") True >>> _isnumber_with_thousands_separator("1,0000") False >>> _isnumber_with_thousands_separator("1,000.1234") True >>> _isnumber_with_thousands_separator(b"1,000.1234") True >>> _isnumber_with_thousands_separator("+1,000.1234") True >>> _isnumber_with_thousands_separator("-1,000.1234") True )�decode�UnicodeDecodeError�AttributeError�bool�re�match� _float_with_thousands_separators��stringr r r �"_isnumber_with_thousands_separatorW s r� c C s, z| |� W dS t tfy& Y dS 0 d S )NTF)� ValueError� TypeError)�convr� r r r �_isconvertiblex s r� c C sH t t| �sdS t| ttf�rDt�t| ��s8t�t| ��rD| �� dv S dS )z� >>> _isnumber("123.45") True >>> _isnumber("123") True >>> _isnumber("spam") False >>> _isnumber("123e45678") False >>> _isnumber("inf") True F)�infz-inf�nanT) r� �floatr r r� �math�isinf�isnan�lowerr� r r r � _isnumber� s � � r� c C s* t | �|u p(t| t�s t| t�o(t|| �S )zG >>> _isint("123") True >>> _isint("123.45") False )�typer r� r r� )r� Zinttyper r r �_isint� s �r� c C s" t | �tu p t| ttf�o | dv S )zc >>> _isbool(True) True >>> _isbool("False") True >>> _isbool(1) False )�True�False)r� � _bool_typer r� r r� r r r �_isbool� s �r� c C s� |r t | t�st | t�r t| �} | du r,tS t| d�r:tS t| �rFtS t| �rV|rVt S t| t �rh|rht S t | �rx|rxt S t | t�r�tS tS dS )a% The least generic type (type(None), int, float, str, unicode). >>> _type(None) is type(None) True >>> _type("foo") is type("") True >>> _type("1") is type(1) True >>> _type('[31m42[0m') is type(42) True >>> _type('[31m42[0m') is type(42) True N� isoformat) r r r� �_strip_invisible� _none_typer r� r� r� �int� _long_typer� r� )r� � has_invisible�numparser r r �_type� s* �� r� c C sf t | �st| �r^t| �r dS | �d�}|dk r<| �� �d�n|}|dkrXt| �| d S dS ndS dS )a Symbols after a decimal point, -1 if the string lacks the decimal point. >>> _afterpoint("123.45") 2 >>> _afterpoint("1001") -1 >>> _afterpoint("eggs") -1 >>> _afterpoint("123e45") 2 >>> _afterpoint("123,456.78") 2 ����.r �er/ N)r� r� r� �rfindr� r< )r� �posr r r � _afterpoint� s r� c C s d| }|� |�S )uL Flush right. >>> _padleft(6, 'яйца') == ' яйца' True z{0:>%ds}�rX ��width�s�fmtr r r �_padleft� s r� c C s d| }|� |�S )uL Flush left. >>> _padright(6, 'яйца') == 'яйца ' True z{0:<%ds}r� r� r r r � _padright s r� c C s d| }|� |�S )uN Center string. >>> _padboth(6, 'яйца') == ' яйца ' True z{0:^%ds}r� r� r r r �_padboth s r� c C s |S r r )Z ignore_widthr� r r r �_padnone s r� c C s8 t | t�r&t�td| �}t�td|�S t�td| �S dS )z�Remove invisible ANSI color codes. >>> str(_strip_invisible('\x1B]8;;https://example.com\x1B\\This is a link\x1B]8;;\x1B\\')) 'This is a link' z\1r N)r r r� �sub�_invisible_codes_link�_invisible_codes�_invisible_codes_bytes)r� Z links_removedr r r r� s r� c C sH t durtrt j}nt}t| t�s,t| t�r8|t| ��S |t| ��S dS )z�Visible width of a printed string. 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FTN�keysrS �__call__r )r �alwaysTr c S s g | ] }t |��qS r r �r7 r� r r r r9 z r: z+_normalize_tabular_data.<locals>.<listcomp>z7tabular data doesn't appear to be a dict or a DataFrame�dtype�names�_fields�firstrowr/ c s g | ]}� � ||��qS r rE �r7 �k)r� r r r9 � r: c s g | ]}� � ||��qS r rE r) )� firstdictr r r9 � r: z6headers for a list of dicts is not a dict or a keywordc s g | ]� � fd d��D ��qS )c s g | ]}� � |��qS r rE r) �r� r r r9 � r: z6_normalize_tabular_data.<locals>.<listcomp>.<listcomp>r �r7 )r! r, r r9 � r: � descriptionZfetchoneZrowcountc S s g | ] }|d �qS )r r )r7 �columnr r r r9 � r: r r# �neverr ) r� r� r� r rS r! r r �namer ry r �getattrr% r& r< �tupler' �set�extend�updater� �add�dictr. �ranger� r� r r r ) � tabular_datar� � showindexZis_headers2bool_brokenr r� �valsZ uniq_keysr� r* Zshowindex_is_a_strZnhsZncolsr )r+ r� r! r �_normalize_tabular_data= s� � � � �� � � � � �. ����� r= c C s� t |t| d �d�}g }| D ]z}g }t|||�D ]Z\}}}t|�rR|rR|�|� q0|d ur�t|d�} | �|�} |�d�| �� q0|�|� q0|�|� q |S )Nr T)r� re )�_expand_iterabler< r= r� r� �_CustomTextWrap�wrapr> ) � list_of_listsr? � numparses�resultr� r� r{ r� r� �wrapper�wrappedr r r �_wrap_text_to_colwidths� s rF r c s� | du r g } t | ||d�\} }| durnt| d �} t| t�rJt| | | �} n t| | d�} t|| �} t| | | d�} |dkr�t| |�\} }t�|dkr�d�d}�t kr�dn���t kr�dn��n �t kr�d n���t kr�d n��d � d � t t |��gd d � | D � �}t �t|����s t �t|��tdu�o*t� t|t��s^|tv �r^t|��r^t�||�}d�nd�t�� ���tt| � �}t|t|��} dd � t|| �D �}t|t��r�t|�|g }n6t|�}t|�t|�k �r�|� t|�t|� t g � t|t��r t|�|g }n6t|�}t|�t|�k �r@|� t|�t|� t g � �fdd �t||||�D �}��fdd �|D �}| du�r�t| t ��s�J �t | �D ]\}}|||< �q�|�r���fdd �|D �n dgt|� }� ��fdd �t|||�D �}|�r^|�pdggt|� }|�p�gt|� }�fdd �t||�D �}��fdd �t|||�D �}tt|� �}n �fdd �|D �}tt|� �}t|t��s�t!�|t!d �}t"|||||��S )u�, Format 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, 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 ------------- `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 | +------+----------+ "fancy_grid" draws a grid using box-drawing characters: >>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], ... ["strings", "numbers"], "fancy_grid")) ╒═══════════╤═══════════╕ │ 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;" |+ <!-- caption --> |- ! 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")) <table> <thead> <tr><th>strings </th><th style="text-align: right;"> numbers</th></tr> </thead> <tbody> <tr><td>spam </td><td style="text-align: right;"> 41.9999</td></tr> <tr><td>eggs </td><td style="text-align: right;"> 451 </td></tr> </tbody> </table> "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 | +------------+------------+-------------------------------+ N)r; r )rB r� r� Tr1 r- r2 r� c S s g | ]}d � tt|���qS )r� )r> ry r r$ r r r r9 y r: z tabulate.<locals>.<listcomp>Fc S s g | ]\}}t ||d ��qS ))r� )r )r7 �col�npr r r r9 � r: c s, g | ]$\}� ��� ���fd d�|D ��qS )c s g | ]}t |� �����qS r )r )r7 rP )�ct�fl_fmtr� �miss_vr r r9 � r: z'tabulate.<locals>.<listcomp>.<listcomp>r �r7 rH )r� )rI rJ rK r r9 � s �c s g | ]}|t tfv r� n��qS r )r� r� )r7 rI )�numalign�stralignr r r9 � r: c s g | ]}�|�� �qS r r r )� min_paddingr� r r r9 � r: c s$ g | ] \}}}t |||�� ���qS r )r )r7 rH r8 �minw)r� r� r� r r r9 � s �r c s, g | ]$\}}t |t � fd d�|D ����qS )c 3 s | ]}� |�V qd S r r �r7 �cl�r� r r rQ � r: �&tabulate.<locals>.<listcomp>.<genexpr>�r� )r7 rP rH rS r r r9 � s �c s( g | ] \}}}t |||�|�� ���qS r r )r7 r r8 rP )r� r� r r r9 � s �c s" g | ]}t � fd d�|D ���qS )c 3 s | ]}� |�V qd S r r rQ rS r r rQ � r: rT rU rL rS r r r9 � r: r� )#r= r< r r� r> �_expand_numparserF r� � MIN_PADDING�_DEFAULT_ALIGNr> ry r r� r� r� r� r� r� r# �multiline_formatsr� rF r� r� r r= � basestringr5 �_DEFAULT_FLOATFMT�_DEFAULT_MISSINGVALr � enumerate�_table_formats� _format_table)r: r� �tablefmtr rM rN r r; �disable_numparse�colalignZ maxcolwidthsrA Znum_colsrB � plain_text�colsZcoltypesZ float_formatsZ missing_valsZaligns�idxr3 Z minwidthsZt_colsZt_alignsr� r )r� r� r� rO rM rN r� r r s� R� � �� ��� � � &� � � � r c C s: t | t�r*dg| }| D ] }d||< q|S | g| S dS )aB 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. TFN)r r )ra � column_countrB r r r r rV � s rV c C s. t | t�r | |g|t| � S |g| S dS )aY 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`. If `original` is not a list to begin with (i.e. scalar value) a list of length `num_desired` completely populated with `default will be returned N)r r r< )�originalZ num_desiredr r r r r> � s r> c s* | r"d| � � fdd�| D �}|S | S d S )NrD c s g | ]}� | � �qS r r rz ��padr r r9 � r: z _pad_row.<locals>.<listcomp>r )�cellsr* � padded_cellsr rh r �_pad_row� s rl c C s |\}}}||� | � | �� S )z7Format row according to DataRow format without padding.)r> rK )rk r} r r r! r r r r| � s r| c C s, |sdS t |d�r || ||�S t| |�S dS )z5Return a string which represents a row of data cells.Nr" �r r| )rk r? r@ r} r r r � _build_row� s rn c C s | � t||||�� | S r )r� rn )�linesrk r? r@ r} r r r �_append_basic_row� s rp c s� �fdd�|D �}dd� |D �� t tt� ����fdd�t� |�D �� � fdd�t��D �}|D ] }t|��} t| | |||� q`| S )Nc s g | ]}|d � �qS �r r �r7 r5 rh r r r9 r: z)_append_multiline_row.<locals>.<listcomp>c S s g | ] }|� � �qS r )r rL r r r r9 r: c s* g | ]"\}}|d | g� t |� �qS r� r )r7 rR r5 )�nlinesr r r9 s c s g | ]� � fd d��D ��qS )c s g | ] }|� �qS r r rQ ��ir r r9 r: z4_append_multiline_row.<locals>.<listcomp>.<listcomp>r r- )� cells_linesrt r r9 r: )r� ry r< r= r9 rl rp ) ro Zpadded_multiline_cells� padded_widthsr@ r} ri r? Z lines_cells�lnZ padded_lnr )rv rs ri r �_append_multiline_row s � ry c sN |sdS t |d�r || |�S |\}� }}� fdd�| D �}t||||f�S dS )z3Return a string which represents a horizontal line.Nr" c s g | ] }� | �qS r r rr ��fillr r r9 r: z _build_line.<locals>.<listcomp>rm )r? r@ �linefmtr r r! rj r rz r � _build_line s r} c C s | � t|||�� | S r )r� r} )ro r? r@ r| r r r � _append_line! s r~ c @ s$ e Zd ZdZdd� Zedd� �ZdS )�JupyterHTMLStrzUWrap the string with a _repr_html_ method so that Jupyter displays the HTML tablec C s | S r r ��selfr r r � _repr_html_* s zJupyterHTMLStr._repr_html_c C s | S )z>add a .str property so that the raw string is still accessibler r� r r r �str- s zJupyterHTMLStr.strN)�__name__� __module__� __qualname__�__doc__r� �propertyr� r r r r r & s r c s� g }|r| j r| j ng }| j� | j}� fdd�|D �} |rPdd� �tt� d�} nt�t} �|� �} � �fdd�|D �} | jr�d|vr�t|| || j� | r�| || | ||� | j r�d|vr�t|| || j � | �r*| j �r*d |v�r*| d d � D ]&} | || | || j � t|| || j � q�| || d | || j � n | D ]} | || | || j � �q.| j �rjd |v�rjt|| || j � |�sv|�r�d � |�}| jtk�r�t|�S |S ndS d S )z1Produce a plain-text representation of the table.c s g | ]}|d � �qS rq r rr rh r r r9 : r: z!_format_table.<locals>.<listcomp>c S s | S r r )r� ro r r r r� < r: z _format_table.<locals>.<lambda>rh c s g | ]}�|� ��qS r r r$ �ri Zpad_rowr r r9 C r: r$ r% r& Nr� r' re r )r+ r* r( r ry rl rp r$ r~ r% r& r) r' r> rU r )r� r� r� r? r@ r� ro Zhiddenr( rw Z append_rowZpadded_headersZ padded_rowsr� �outputr r� r r_ 3 sB r_ c @ s< e Zd ZdZdd� Zedd� �Zdd� Zdd � Zd d � Z d S ) r? a[ A custom implementation of CPython's textwrap.TextWrapper. This supports both wide characters (Korea, Japanese, Chinese) - including mixed string. For the most part, the `_handle_long_word` and `_wrap_chunks` functions were copy pasted out of the CPython baseline, and updated with our custom length and line appending logic. c O s* g | _ d | _tjj| g|�R i |�� d S r )� _active_codes� max_lines�textwrap� TextWrapper�__init__)r� �args�kwargsr r r r� m s z_CustomTextWrap.__init__c C s" t | �}trt�|�S t|�S dS )zqCustom len that gets console column width for wide and non-wide characters as well as ignores color codesN)r� r� r� r< )r� �strippedr r r �_lenr s z_CustomTextWrap._lenc C s~ dd� t �t|�D �}dd� |D �}d�| j�| }|D ] }|tkrR| j�|� q8g | _q8t| j�dkrp|t }|�|� dS )a Adds a new line to the list of lines the text is being wrapped into This function will also track any ANSI color codes in this string as well as add any colors from previous lines order to preserve the same formatting as a single unwrapped string. c S s g | ]}|�qS r r )r7 �xr r r r9 � r: z1_CustomTextWrap._update_lines.<locals>.<listcomp>c S s* g | ]"}|j |�� d |�� d � �qS )r r/ )r� �span)r7 �coder r r r9 � s r r N)r� �finditerr� r> r� �_ansi_color_reset_coder� r< )r� ro �new_lineZ code_matchesZ color_codesr� r r r � _update_lines| s �z _CustomTextWrap._update_linesc C s� |dk rd}n|| }| j rt|d }d}| �|d|� �|krH|d }q(|�|d|d � � ||d d� |d< n|s�|�|�� � dS )a _handle_long_word(chunks : [string], cur_line : [string], cur_len : int, width : int) Handle a chunk of text (most likely a word, not whitespace) that is too long to fit in any line. r/ r� N)�break_long_wordsr� r� �pop)r� �reversed_chunks�cur_line�cur_lenr� � space_left�chunkru r r r �_handle_long_word� s z!_CustomTextWrap._handle_long_wordc C s� g }| j dkr td| j ��| jdurf| jdkr8| j}n| j}| �|�| �| j�� � | j krftd��|�� |�r�g }d}|r�| j}n| j}| j | �|� }| j r�|d � � dkr�|r�|d= |r�| �|d �}|| |kr�|� |� � � ||7 }q�q�q�|�r2| �|d �|k�r2| � ||||� tt| j|��}| j �rj|�rj|d � � dk�rj|| �|d �8 }|d= |rn| jdu �s�t|�d | jk �s�|�r�| j �r�t|�dk�r�|d � � �s�||k�r�| �||d�|� � qn|�rF|d � � �r*|| �| j� |k�r*|� | j� | �||d�|� � �q�|| �|d �8 }|d= �q�|�r�|d �� }| �|�| �| j� | j k�r�|| j |d< �q�| �||| j�� � �q�qn|S )a� _wrap_chunks(chunks : [string]) -> [string] Wrap a sequence of text chunks and return a list of lines of length 'self.width' or less. 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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) -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) r Nr/ z h1o:s:F:A:f:)�helpr` r� zsep=zfloat=zalign=zformat=r r� z\s+r. )z-1z--headerr( )z-oz--output)z-Fz--float)z-Cz --colalign)z-fz--formatz"%s is not a supported table formatr )z-sz--sep)z-hz--helpr5 )r� r` r r �filerb )�getopt�sysr� �dedent�_mainr� �argv� GetoptErrorr �exitr[ r� r �stdin�stdout�openr � _pprint_file)r� r� r� �usage�optsr� r� r� r rb r` r �outfile�opt�value�files�outr Zfobjr r r r� - s� � � �r� c s8 | � � }� fdd�|D �}tt|||||d�|d� d S )Nc s$ g | ] }|� � rt�� |�� ��qS r )r� r� r� rK )r7 rd �r r r r9 � r: z _pprint_file.<locals>.<listcomp>)r rb )r� )� readlinesr r ) Zfobjectr� r` r r r� rb r� �tabler r� r r� � s �r� �__main__)r )FF)TT)r TFF)TT)r T)FN)r )T)r� � __future__r r � collectionsr r� r� r� r� � version_info�collections.abcr � itertoolsr � functoolsr r� r� r� r� r� Z _int_type�longr� r� Z _float_type�unicoder r� r� r r r �bytesrZ r r� � ImportErrorr� r r[ �cgi�__all__� __version__rW r� r[ r\ rX r� r r" r# r6 rB rO rT rU r^ rb rj ZLATEX_ESCAPE_RULESr~ r� r^ r� �sortedr! r rY �compiler� r� r� r� r� r� r� r r� r� r� r� r� r� r� r� r� r� r� r� r� r� r< r� r� r� r� r� r� r r r r r r r r= rF r rV r> rl r| rn rp ry r} r~ r r_ r� r? r� r� r� r r r r �<module> sJ "� � � � � � � � � � � � � � � � � � � � � � � � � � �� � z� ����! 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