{
	"cells" : 
	[
		
		{
			"cell_origin" : "client",
			"cell_type" : "latex",
			"cells" : 
			[
				
				{
					"cell_origin" : "client",
					"cell_type" : "latex_view",
					"source" : "\\property{Metric}{Makes a two-tensor a metric.}\n\nLabels the object as a symmetric tensor, and optionally gives it the\nindicated signature through the {\\tt signature} parameter."
				}
			],
			"hidden" : true,
			"source" : "\\property{Metric}{Makes a two-tensor a metric.}\n\nLabels the object as a symmetric tensor, and optionally gives it the\nindicated signature through the {\\tt signature} parameter."
		},
		
		{
			"cell_origin" : "client",
			"cell_type" : "input",
			"cells" : 
			[
				
				{
					"cell_origin" : "server",
					"cell_type" : "latex_view",
					"source" : "\\begin{dmath*}{}g_{m n} A^{n p}\\end{dmath*}"
				},
				
				{
					"cell_origin" : "server",
					"cell_type" : "error",
					"source" : "{\\color{red}{\\begin{verbatim}Traceback (most recent call last):\n  File \"<string>\", line 3, in <module>\nNameError: name 'eliminate_metric' is not defined\n\\end{verbatim}}}"
				}
			],
			"source" : "g_{m n}::Metric(signature=1).\nex:= g_{m n} A^{n p};\neliminate_metric(_);"
		},
		
		{
			"cell_origin" : "client",
			"cell_type" : "latex",
			"cells" : 
			[
				
				{
					"cell_origin" : "client",
					"cell_type" : "latex_view",
					"source" : "Objects declared as \\prop{Metric} can be used to automatically\nraise or lower indices using the\n\\algo{eliminate_metric} algorithm, as above.\n"
				}
			],
			"hidden" : true,
			"source" : "Objects declared as \\prop{Metric} can be used to automatically\nraise or lower indices using the\n\\algo{eliminate_metric} algorithm, as above.\n"
		},
		
		{
			"cell_origin" : "client",
			"cell_type" : "input",
			"source" : ""
		}
	],
	"description" : "Cadabra JSON notebook format",
	"version" : 1.0
}