1VhC( d Z ddlZddlZddlmZ ddlmZ ddlm Z ddl
m Z ddl m
Z
ddlmZ d Zd
Z ej$ d Zd Zdd
ZddZd Zd Zd Z G d de
j4 Zy)z The TensorBoard Text plugin. N)wrappers) plugin_util) http_util)provider) base_plugin)metadataz/tagsz/textz **Warning:** This text summary contained data of dimensionality %d, but only 2d tables are supported. Showing a 2d slice of the data instead.d c H fd| D }ddj | z dz S )a Given an iterable of string contents, make a table row.
Args:
contents: An iterable yielding strings.
tag: The tag to place contents in. Defaults to 'td', you might want 'th'.
Returns:
A string containing the content strings, organized into a table row.
Example: make_table_row(['one', 'two', 'three']) == '''
| one |
two |
three |
'''
c 3 6 K | ] }d d|dd yw)<>z
N ).0stags T/home/dcms/DCMS/lib/python3.12/site-packages/tensorboard/plugins/text/text_plugin.py z!make_table_row..A s A1#q#.As z
z
)join)contentsr columnss ` r make_table_rowr 0 s) " BAG bggg& & 22 c t t j s t d j dvrt d j z |rt |t
t f rt j | }t |t j st d|z |j dk7 rt d|j z j dk( r j d nd}|j d |k7 r t d |j d |fz d
t |d z }nd
} j d } j dk( r fdt | D }n fdt | D }d|dd
j | dS )a Given a numpy ndarray of strings, concatenate them into a html table.
Args:
contents: A np.ndarray of strings. May be 1d or 2d. In the 1d case, the
table is laid out vertically (i.e. row-major).
headers: A np.ndarray or list of string header names for the table.
Returns:
A string containing all of the content strings, organized into a table.
Raises:
ValueError: If contents is not a np.ndarray.
ValueError: If contents is not 1d or 2d.
ValueError: If contents is empty.
ValueError: If headers is present and not a list, tuple, or ndarray.
ValueError: If headers is not 1d.
ValueError: If number of elements in headers does not correspond to number
of columns in contents.
z+make_table contents must be a numpy ndarray) z3make_table requires a 1d or 2d numpy array, was %ddz,Could not convert headers %s into np.ndarrayr zHeaders must be 1d, is %ddr r z4Number of headers %d must match number of columns %dz
%s
th)r r c 3 < K | ] }t | g y wNr r ir s r r z make_table..y s E! }-Es c 3 B K | ] }t |d d f y wr r r! s r r z make_table..{ s F1x1~.Fs z)
isinstancenpndarray
ValueErrorndimlisttuplearrayshaper ranger )r headersexpected_n_columnsheadern_rowsrowss ` r
make_tabler3 E sh ( h
+FGG}}F" Amm
ge} -hhw'G'2::. >H
<<1 9GLL HI I2:--12DX^^A .! == 1 1 F==#%789
)>'t+LL
^^A
F}} FuV}EFf
F9? OOr c t | t j s t d t | j
}|dk r t d dg|dz
z t
d t
d gz }| t | S )a Given a np.npdarray with nDims > 2, reduce it to 2d.
It does this by selecting the zeroth coordinate for every dimension greater
than two.
Args:
arr: a numpy ndarray of dimension at least 2.
Returns:
A two-dimensional subarray from the input array.
Raises:
ValueError: If the argument is not a numpy ndarray, or the dimensionality
is too low.
z%reduce_to_2d requires a numpy.ndarrayr z4reduce_to_2d requires an array of dimensionality >=2r N)r$ r% r& r' lenr, slicer* )arrndimsslicess r reduce_to_2dr: so c2:: &@AA NE qyOPPcUQY E$Kt#=
=F uV} r c j sH|r#t j j S t j j S d}t j dkD r:t j t t j z }t |r-t j j d fd }||z S d }t j j d D cg c]
} || c} j j }t j t | }||z S c c}w )a Take a numpy.ndarray containing strings, and convert it into html.
If the ndarray contains a single scalar string, that string is converted to
html via our sanitized markdown parser. If it contains an array of strings,
the strings are individually converted to html and then composed into a table
using make_table. If the array contains dimensionality greater than 2,
all but two of the dimensions are removed, and a warning message is prefixed
to the table.
Args:
text_arr: A numpy.ndarray containing strings.
enable_markdown: boolean, whether to enable Markdown
Returns:
The array converted to html.
r r c r t t j | j j S r )r3 r% r+ reshaper, )xstext_arrs r z$text_array_to_html.. s# z"((2,"6"6x~~"FG r c H t | t r| j d S | S )Nzutf-8)r$ bytesdecode)bss r rA z$text_array_to_html.. s *R2GBIIg . R r )
r, r markdown_to_safe_htmlitem safe_htmlr5 WARNING_TEMPLATEr: markdowns_to_safe_htmlr> r% r+ r3 )r@ enable_markdownwarningtablerD rE text_arr_strs ` r text_array_to_htmlrO s " >> 44X]]_E E (( 9 9G
8>>Q 33 s8>> 2 2
)22 R G
U? Pxx"*"2"22"6 7BVBZ 7
'(..
! %%j &>? U?
8s >Ec & t || }| ||dS )z5Convert a text event into a JSON-compatible response.) wall_timesteptext)rO )rQ rR string_ndarrayrK htmls r
process_eventrV s! no >D r c e Zd ZdZej
Zd Zd Zd Z d Z
e j j d Zd Ze j j d Zd Zy
)
TextPluginz Text Plugin for TensorBoard.c |j xs i j | j t | _ |j
| _ t j dd | _ y)zzInstantiates TextPlugin via TensorBoard core.
Args:
context: A base_plugin.TBContext instance.
rS r ) data_kindlatest_known_versionN)
sampling_hintsget plugin_name_DEFAULT_DOWNSAMPLING_downsample_to
data_provider_data_providerr _MetadataVersionChecker_version_checker)selfcontexts r __init__zTextPlugin.__init__ sW ' 5 5 ; @ @ 3
& 3 3 + C C !"!
r c y)NFr re s r is_activezTextPlugin.is_active s r c . t j d S )Nztf-text-dashboard) element_name)r FrontendMetadatari s r frontend_metadataz TextPlugin.frontend_metadata s ++9LMMr c | j j ||t j }|D ci c] }|g }}|j D ]x \ }}|j D ]` \ }}t j
|j } | j j | j || sM|| j | b z |S c c}w )N)
experiment_idr^ ) rb list_tensorsr PLUGIN_NAMEitemsparse_plugin_metadataplugin_contentrd okversionappend)
re ctx
experimentmappingrunresulttag_to_contentr metadatummds
r
index_implzTextPlugin.index_impl s %%22 $ ,, 3
&--c#r'--#*==? ( C "0"6"6"8
(Y 33I4L4LM,,//
CE s ""3'
( (
.s
C
c t j |j }t j |j }| j || }t j ||d S )Napplication/json)r rf environrp r r Respond)re requestry rz indexs r
tags_routezTextPlugin.tags_route sP !!'//2 ..w?
Z0 %1CDDr c
j | j j ||t j | j t j |g|g }|j |i j |d }|g S |D cg c]. }t |j |j |j | 0 c}S c c}w )N)runstags)rp r^
downsamplerun_tag_filter) rb read_tensorsr rr r` r RunTagFilterr] rV rQ rR numpy) re ry r| r rz rK all_textrS ds r text_implzTextPlugin.text_impl s &&33 $ ,,**#00se3%H 4
||C$((d3 <I
!++qvvqww H
s :3B0c t j |j }t j |j }|j j d }|j j d }|j j d }|dk7 }| j
||||| }t j ||d S )Nr| r markdownfalser ) r rf r rp argsr] r r r ) re r ry rz r| r markdown_argrK responses r
text_routezTextPlugin.text_route s !!'//2 ..w?
ll u%ll u% ||''
3 &'1>>#sC_M (4FGGr c F t | j t | j iS r )
TAGS_ROUTEr
TEXT_ROUTEr ri s r get_plugin_appszTextPlugin.get_plugin_apps s
r N)__name__
__module__ __qualname____doc__r rr r^ rg rj rn r r Request applicationr r r r r r r rX rX ss &&&K
N
!!E "E
!!H "H
r rX )tdr ) r textwrapr r% werkzeugr tensorboardr tensorboard.backendr tensorboard.datar tensorboard.pluginsr tensorboard.plugins.textr r r dedentrI r_ r r3 r: rO rV TBPluginrX r r r r s # # ) % + -
#8??F 3*8Pv 6*ZO
%% O
r