a d=icC@sdZddlZddlmZddlZddlmZddlm Z ddl m Z e Zddggd d Zgd ZGd d d ejZeZGdddejZeZddZddZddZddZddZ GdddZdS)zwz'markdown_to_safe_html..)markdowns_to_safe_html)Zmarkdown_stringrrrmarkdown_to_safe_htmlms r5c Csg}d}|D]N}t|trD|d}|dd}|t|t|7}tj|}||q ||}t j |}d} |rd|} | |S)aConvert multiple Markdown documents to one safe HTML document. One could also achieve this by calling `markdown_to_safe_html` multiple times and combining the results. Compared to that approach, this function may be faster, because HTML sanitization (which can be expensive) is performed only once rather than once per input. It may also be less precise: if one of the input documents has unsafe HTML that is sanitized away, that sanitization might affect other documents, even if those documents are safe. Args: markdown_strings: List of Markdown source strings to convert, as Unicode strings or UTF-8--encoded bytestrings. Markdown tables are supported. combine: Callback function that takes a list of unsafe HTML strings of the same shape as `markdown_strings` and combines them into a single unsafe HTML string, which will be sanitized and returned. Returns: A string containing safe HTML. rr)zR ) r*r+r,replacelen_MARKDOWN_STORErconvertappendr-r(r.) Zmarkdown_stringscombineZ unsafe_htmlsr0sourceZsource_decodedZ unsafe_htmlZunsafe_combinedZsanitized_combinedwarningrrrr4zs"      r4cCs t|S)znGet a TensorBoard `RequestContext` from a WSGI environment. Returns: A `RequestContext` value. )_contextZ from_environenvironrrrrsrcCs|tjdS)aDetermine the experiment ID associated with a WSGI request. Each request to TensorBoard has an associated experiment ID, which is always a string and may be empty. This experiment ID should be passed to data providers. Args: environ: A WSGI environment `dict`. For a Werkzeug request, this is `request.environ`. Returns: A experiment ID, as a possibly-empty `str`. r7)get_experiment_idZWSGI_ENVIRON_KEYrArrrrsrc@s(eZdZdZddZddZddZdS) _MetadataVersionCheckeraTensorBoard-internal utility for warning when data is too new. Specify a maximum known `version` number as stored in summary metadata, and automatically reject and warn on data from newer versions. This keeps a (single) bit of internal state to handle logging a warning to the user at most once. This should only be used by plugins bundled with TensorBoard, since it may instruct users to upgrade their copy of TensorBoard. cCs||_||_d|_dS)a%Initialize a `_MetadataVersionChecker`. Args: data_kind: A human-readable description of the kind of data being read, like "scalar" or "histogram" or "PR curve". latest_known_version: Highest tolerated value of `version`, like `0`. FN) _data_kind_latest_known_version_warned)rZ data_kindZlatest_known_versionrrrrs z _MetadataVersionChecker.__init__cCs0d|kr|jkrnndS||||dS)z3Test whether `version` is permitted, else complain.rTF)rG _maybe_warnrversionruntagrrroksz_MetadataVersionChecker.okcCs(|jr dSd|_td|j|||dS)NTzSome %s data is too new to be read by this version of TensorBoard. Upgrading TensorBoard may fix this. (sample: run %r, tag %r, data version %r))rHloggerr?rFrJrrrrIsz#_MetadataVersionChecker._maybe_warnN)r r!r"__doc__rrNrIrrrrrEs  rE)rP threadingZ$tensorboard._vendor.bleach.sanitizerrrZ tensorboardrr@Ztensorboard.backendrrDZtensorboard.utilrZ get_loggerrOr'r&localrr:r#r-r1r5r4rErrrrs*      2