A simple 'for()' with index set and table assignment

[Example Model: ProductMixTab4.json]

indexSets : {
	part", value: ['chas','tube','cone','psup','elec'] },
	{ name: "prod", value: ['tv','stereo','speaker'] }
    },

data : {
    	parts: { indexCols: ['part', 'prod'],

	     value: [['chas', 'tv', 1],
			['elec', 'stereo', 1],			
			['tube', 'tv', 1],
			['cone', 'tv', 2],
			['cone', 'stereo', 2],
			['chas', 'stereo', 1],
			['cone', 'speaker', 1],
			['psup', 'tv', 1],
			['psup', 'stereo', 1],
			['elec', 'tv', 2],
			['elec', 'speaker', 1]]
	},
     inventory: { indexCols: ['part'], value: [['chas',450], ['tube',250], 

     ['cone',800], ['psup',450], ['elec',600]] }
    },
constraints: {
  "for(p in 'part')": {

     "cons[p]": { formula: "sumproduct(parts[p,], x) - inventory[p]", 
 
     upper: 0 }
   }
}

In this example we define 5 constraints for each p in the index set 'part', then assign the evaluation values to cons[5]. Within constraints, cons[5] is defined as a table since neither the dimensions property nor the upper/lower/value properties are used to implicitly define cons[5] as an array. The variable p belongs to an index set. To reference a table element, we would use, say, cons['chas'] rather than cons[1] as the latter is a typical array reference. In practice, when defining model functions with index sets, the formula result identifier is likely a table.