131 lines
		
	
	
		
			3.8 KiB
		
	
	
	
		
			JavaScript
		
	
	
	
	
	
			
		
		
	
	
			131 lines
		
	
	
		
			3.8 KiB
		
	
	
	
		
			JavaScript
		
	
	
	
	
	
| 
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| /*
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| * Licensed to the Apache Software Foundation (ASF) under one
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| * or more contributor license agreements.  See the NOTICE file
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| * distributed with this work for additional information
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| * regarding copyright ownership.  The ASF licenses this file
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| * to you under the Apache License, Version 2.0 (the
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| * "License"); you may not use this file except in compliance
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| * with the License.  You may obtain a copy of the License at
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| *
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| *   http://www.apache.org/licenses/LICENSE-2.0
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| *
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| * Unless required by applicable law or agreed to in writing,
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| * software distributed under the License is distributed on an
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| * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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| * KIND, either express or implied.  See the License for the
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| * specific language governing permissions and limitations
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| * under the License.
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| */
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| 
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| /*
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| * Licensed to the Apache Software Foundation (ASF) under one
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| * or more contributor license agreements.  See the NOTICE file
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| * distributed with this work for additional information
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| * regarding copyright ownership.  The ASF licenses this file
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| * to you under the Apache License, Version 2.0 (the
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| * "License"); you may not use this file except in compliance
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| * with the License.  You may obtain a copy of the License at
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| *
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| *   http://www.apache.org/licenses/LICENSE-2.0
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| *
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| * Unless required by applicable law or agreed to in writing,
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| * software distributed under the License is distributed on an
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| * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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| * KIND, either express or implied.  See the License for the
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| * specific language governing permissions and limitations
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| * under the License.
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| */
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| var samplers = {
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|   average: function (frame) {
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|     var sum = 0;
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|     var count = 0;
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| 
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|     for (var i = 0; i < frame.length; i++) {
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|       if (!isNaN(frame[i])) {
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|         sum += frame[i];
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|         count++;
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|       }
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|     } // Return NaN if count is 0
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| 
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| 
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|     return count === 0 ? NaN : sum / count;
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|   },
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|   sum: function (frame) {
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|     var sum = 0;
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| 
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|     for (var i = 0; i < frame.length; i++) {
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|       // Ignore NaN
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|       sum += frame[i] || 0;
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|     }
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| 
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|     return sum;
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|   },
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|   max: function (frame) {
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|     var max = -Infinity;
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| 
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|     for (var i = 0; i < frame.length; i++) {
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|       frame[i] > max && (max = frame[i]);
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|     } // NaN will cause illegal axis extent.
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| 
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| 
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|     return isFinite(max) ? max : NaN;
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|   },
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|   min: function (frame) {
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|     var min = Infinity;
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| 
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|     for (var i = 0; i < frame.length; i++) {
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|       frame[i] < min && (min = frame[i]);
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|     } // NaN will cause illegal axis extent.
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| 
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| 
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|     return isFinite(min) ? min : NaN;
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|   },
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|   // TODO
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|   // Median
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|   nearest: function (frame) {
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|     return frame[0];
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|   }
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| };
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| 
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| var indexSampler = function (frame, value) {
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|   return Math.round(frame.length / 2);
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| };
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| 
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| function _default(seriesType) {
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|   return {
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|     seriesType: seriesType,
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|     modifyOutputEnd: true,
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|     reset: function (seriesModel, ecModel, api) {
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|       var data = seriesModel.getData();
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|       var sampling = seriesModel.get('sampling');
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|       var coordSys = seriesModel.coordinateSystem; // Only cartesian2d support down sampling
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| 
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|       if (coordSys.type === 'cartesian2d' && sampling) {
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|         var baseAxis = coordSys.getBaseAxis();
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|         var valueAxis = coordSys.getOtherAxis(baseAxis);
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|         var extent = baseAxis.getExtent(); // Coordinste system has been resized
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| 
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|         var size = Math.abs(extent[1] - extent[0]);
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|         var rate = Math.round(data.count() / size);
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| 
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|         if (rate > 1) {
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|           var sampler;
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| 
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|           if (typeof sampling === 'string') {
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|             sampler = samplers[sampling];
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|           } else if (typeof sampling === 'function') {
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|             sampler = sampling;
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|           }
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| 
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|           if (sampler) {
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|             // Only support sample the first dim mapped from value axis.
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|             seriesModel.setData(data.downSample(data.mapDimension(valueAxis.dim), 1 / rate, sampler, indexSampler));
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|           }
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|         }
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|       }
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|     }
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|   };
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| }
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| 
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| module.exports = _default; | 
