Пример #1
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 def _render_nb_cell_code_source(self: SelfType, token: SyntaxTreeNode) -> None:
     """Render a notebook code cell's source."""
     cell_index = token.meta["index"]
     line = token_line(token, 0) or None
     node = self.create_highlighted_code_block(
         token.content,
         self._get_nb_source_code_lexer(cell_index, line=line),
         number_lines=self.get_cell_level_config(
             "number_source_lines",
             token.meta["metadata"],
             line=line,
         ),
         source=self.document["source"],
         line=token_line(token),
     )
     self.add_line_and_source_path(node, token)
     self.current_node.append(node)
Пример #2
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 def render_nb_cell_raw(self: SelfType, token: SyntaxTreeNode) -> None:
     """Render a notebook raw cell."""
     line = token_line(token, 0)
     _nodes = self.nb_renderer.render_raw_cell(
         token.content, token.meta["metadata"], token.meta["index"], line
     )
     self.add_line_and_source_path_r(_nodes, token)
     self.current_node.extend(_nodes)
Пример #3
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    def _get_nb_code_cell_outputs(
        self, token: SyntaxTreeNode
    ) -> tuple[int | None, list[NotebookNode]]:
        """Get the outputs for a code cell and its execution count."""
        cell_index = token.meta["index"]
        line = token_line(token, 0) or None

        exec_count, outputs = self.nb_client.code_cell_outputs(cell_index)

        if self.get_cell_level_config("merge_streams", token.meta["metadata"], line):
            # TODO should this be saved on the output notebook
            outputs = coalesce_streams(outputs)

        return exec_count, outputs
Пример #4
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    def render_nb_cell_code(self: SelfType, token: SyntaxTreeNode) -> None:
        """Render a notebook code cell."""
        cell_index = token.meta["index"]
        tags = token.meta["metadata"].get("tags", [])

        exec_count, outputs = self._get_nb_code_cell_outputs(token)

        # TODO do we need this -/_ duplication of tag names, or can we deprecate one?
        remove_input = (
            self.get_cell_level_config(
                "remove_code_source",
                token.meta["metadata"],
                line=token_line(token, 0) or None,
            )
            or ("remove_input" in tags)
            or ("remove-input" in tags)
        )
        remove_output = (
            self.get_cell_level_config(
                "remove_code_outputs",
                token.meta["metadata"],
                line=token_line(token, 0) or None,
            )
            or ("remove_output" in tags)
            or ("remove-output" in tags)
        )

        # if we are remove both the input and output, we can skip the cell
        if remove_input and remove_output:
            return

        # create a container for all the input/output
        classes = ["cell"]
        for tag in tags:
            classes.append(f"tag_{tag.replace(' ', '_')}")
        cell_container = nodes.container(
            nb_element="cell_code",
            cell_index=cell_index,
            # TODO some way to use this to allow repr of count in outputs like HTML?
            exec_count=exec_count,
            cell_metadata=token.meta["metadata"],
            classes=classes,
        )
        self.add_line_and_source_path(cell_container, token)
        with self.current_node_context(cell_container, append=True):

            # render the code source code
            if not remove_input:
                cell_input = nodes.container(
                    nb_element="cell_code_source", classes=["cell_input"]
                )
                self.add_line_and_source_path(cell_input, token)
                with self.current_node_context(cell_input, append=True):
                    self._render_nb_cell_code_source(token)

            # render the execution output, if any
            if outputs and (not remove_output):
                cell_output = nodes.container(
                    nb_element="cell_code_output", classes=["cell_output"]
                )
                self.add_line_and_source_path(cell_output, token)
                with self.current_node_context(cell_output, append=True):
                    self._render_nb_cell_code_outputs(token, outputs)
Пример #5
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    def _render_nb_cell_code_outputs(
            self, token: SyntaxTreeNode,
            outputs: list[nbformat.NotebookNode]) -> None:
        """Render a notebook code cell's outputs."""
        line = token_line(token, 0)
        cell_index = token.meta["index"]
        metadata = token.meta["metadata"]
        # render the outputs
        for output_index, output in enumerate(outputs):
            if output.output_type == "stream":
                if output.name == "stdout":
                    _nodes = self.nb_renderer.render_stdout(
                        output, metadata, cell_index, line)
                    self.add_line_and_source_path_r(_nodes, token)
                    self.current_node.extend(_nodes)
                elif output.name == "stderr":
                    _nodes = self.nb_renderer.render_stderr(
                        output, metadata, cell_index, line)
                    self.add_line_and_source_path_r(_nodes, token)
                    self.current_node.extend(_nodes)
                else:
                    pass  # TODO warning
            elif output.output_type == "error":
                _nodes = self.nb_renderer.render_error(output, metadata,
                                                       cell_index, line)
                self.add_line_and_source_path_r(_nodes, token)
                self.current_node.extend(_nodes)
            elif output.output_type in ("display_data", "execute_result"):

                # Note, this is different to the docutils implementation,
                # where we directly select a single output, based on the mime_priority.
                # Here, we do not know the mime priority until we know the output format
                # so we output all the outputs during this parsing phase
                # (this is what sphinx caches as "output format agnostic" AST),
                # and replace the mime_bundle with the format specific output
                # in a post-transform (run per output format on the cached AST)

                figure_options = (self.get_cell_level_config(
                    "render_figure_options", metadata, line=line) or None)

                with create_figure_context(self, figure_options, line):
                    mime_bundle = nodes.container(nb_element="mime_bundle")
                    with self.current_node_context(mime_bundle):
                        for mime_type, data in output["data"].items():
                            mime_container = nodes.container(
                                mime_type=mime_type)
                            with self.current_node_context(mime_container):
                                _nodes = self.nb_renderer.render_mime_type(
                                    MimeData(
                                        mime_type,
                                        data,
                                        cell_metadata=metadata,
                                        output_metadata=output.get(
                                            "metadata", {}),
                                        cell_index=cell_index,
                                        output_index=output_index,
                                        line=line,
                                    ))
                                self.current_node.extend(_nodes)
                            if mime_container.children:
                                self.current_node.append(mime_container)
                    if mime_bundle.children:
                        self.add_line_and_source_path_r([mime_bundle], token)
                        self.current_node.append(mime_bundle)
            else:
                self.create_warning(
                    f"Unsupported output type: {output.output_type}",
                    line=line,
                    append_to=self.current_node,
                    wtype=DEFAULT_LOG_TYPE,
                    subtype="output_type",
                )