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def render_chart_to_notebook(self, template_name: str, **kwargs) -> str: tpl = self.env.get_template(template_name) return utils.replace_placeholder(tpl.render(**kwargs)) def render( chart, path: str, template_name: str, env: Optional[Environment], **kwargs ) -> str: RenderEngine...
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To count the number of all matching stars, all stars in the chart need to be transformed using the rough transformation matrix 𝐓T, as shown in Equation (16). After that, the number of matching stars is counted by calculating whether the angle between the transformed vector in the star ...
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self.last_value = value # borrowed ref self.last_tstate_id = tstate.unique_id self.last_ver = tstate.execution_context_ver self.last_deallocs = tstate.interp.context_item_deallocs self.last_version = self.versionreturn valueNote that ``last_value`` is a borrowed reference. The assumption...
# The default value is: NO. TYPEDEF_HIDES_STRUCT = NO # The size of the symbol lookup cache can be set using LOOKUP_CACHE_SIZE. This # cache is used to resolve symbols given their name and scope. Since this can be # an expensive process and often the same symbol appears multiple ...
def render_chart_to_notebook(self, template_name: str, **kwargs) -> str: tpl = self.env.get_template(template_name) return utils.replace_placeholder(tpl.render(**kwargs)) def render( chart, path: str, template_name: str, env: Optional[Environment], **kwargs ) -> str: RenderEngine...