guanlan-src/app_frontEnd/web/node_modules/echarts/lib/coord/axisStatisticsMetricsImpl.js

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* distributed with this work for additional information
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* to you under the Apache License, Version 2.0 (the
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* with the License.  You may obtain a copy of the License at
*
*   http://www.apache.org/licenses/LICENSE-2.0
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* Unless required by applicable law or agreed to in writing,
* software distributed under the License is distributed on an
* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
* KIND, either express or implied.  See the License for the
* specific language governing permissions and limitations
* under the License.
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/**
 * AUTO-GENERATED FILE. DO NOT MODIFY.
 */

/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements.  See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership.  The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License.  You may obtain a copy of the License at
*
*   http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing,
* software distributed under the License is distributed on an
* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
* KIND, either express or implied.  See the License for the
* specific language governing permissions and limitations
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import { createHashMap } from 'zrender/lib/core/util.js';
import { asc, isNullableNumberFinite } from '../util/number.js';
import { parseSanitizationFilter, passesSanitizationFilter } from '../data/helper/dataValueHelper.js';
import { tryEnsureTypedArray, Float64ArrayCtor } from '../util/vendor.js';
import { eachSeriesDealForAxisStat, LINEAR_POSITIVE_MIN_GAP_NO_VALID_VALUE, LINEAR_POSITIVE_MIN_GAP_SINGLE_VALID_VALUE, registerMetricImpl } from './axisStatistics.js';
export function registerMetricImplLiPosMinGap() {
  registerMetricImpl('liPosMinGap', metricLiPosMinGapImpl);
}
function metricLiPosMinGapImpl(ecModel, perKeyPerAxis, ecPreparePerKeyPerAxis) {
  var newSerUids = createHashMap();
  var ecPrepareSerUids = ecPreparePerKeyPerAxis.serUids;
  var ecPrepareLiPosMinGap = ecPreparePerKeyPerAxis.liPosMinGap;
  var ecPrepareCacheMiss;
  var axis = perKeyPerAxis.axis;
  var scale = axis.scale;
  // const linearValueExtent = initExtentForUnion();
  var needTransform = scale.needTransform();
  var filter = scale.getFilter ? scale.getFilter() : null;
  var filterParsed = parseSanitizationFilter(filter);
  // const timeRetrieve: number[] = []; // _EC_PERF_
  // const timeSort: number[] = []; // _EC_PERF_
  // const timeAll: number[] = []; // _EC_PERF_
  // timeAll[0] = Date.now(); // _EC_PERF_
  function eachSeries(cb) {
    eachSeriesDealForAxisStat(ecModel, perKeyPerAxis.sers, function (seriesModel) {
      var rawData = seriesModel.getRawData();
      // NOTE: Currently there is no series that a "base axis" can map to multiple dimensions.
      var dimStoreIdx = rawData.getDimensionIndex(rawData.mapDimension(axis.dim));
      if (dimStoreIdx >= 0) {
        cb(dimStoreIdx, seriesModel, rawData.getStore());
      }
    });
  }
  var bufferCapacity = 0;
  eachSeries(function (dimStoreIdx, seriesModel, rawDataStore) {
    newSerUids.set(seriesModel.uid, 1);
    if (!ecPrepareSerUids || !ecPrepareSerUids.hasKey(seriesModel.uid)) {
      ecPrepareCacheMiss = true;
    }
    bufferCapacity += rawDataStore.count();
  });
  if (!ecPrepareSerUids || ecPrepareSerUids.keys().length !== newSerUids.keys().length) {
    ecPrepareCacheMiss = true;
  }
  if (!ecPrepareCacheMiss && ecPrepareLiPosMinGap != null) {
    // Consider the fact in practice:
    //  - Series data can only be changed in EC_PREPARE.
    //  - The relationship between series and axes can only be changed in EC_PREPARE and
    //    SERIES_FILTER.
    //  (See EC_CYCLE for more info)
    // Therefore, some statistics results can be cached in `GlobalModelCachePerECPrepare` to avoid
    // repeated time-consuming calculation for large data (e.g., over 1e5 data items).
    perKeyPerAxis.liPosMinGap = ecPrepareLiPosMinGap;
    return;
  }
  tryEnsureTypedArray(tmpValueBuffer, bufferCapacity);
  // timeRetrieve[0] = Date.now(); // _EC_PERF_
  var writeIdx = 0;
  eachSeries(function (dimStoreIdx, seriesModel, store) {
    // NOTE: It appears to be optimized by traveling only in a specific window (e.g., the current window)
    // instead of the entire data, but that would likely generate inconsistent result and bring
    // jitter when dataZoom roaming.
    for (var i = 0, cnt = store.count(); i < cnt; ++i) {
      // Manually inline some code for performance, since no other optimization
      // (such as, progressive) can be applied here.
      var val = store.get(dimStoreIdx, i);
      // NOTE: in most cases, filter does not exist.
      if (isFinite(val) && (!filter || passesSanitizationFilter(filterParsed, val))) {
        if (needTransform) {
          // PENDING: time-consuming if axis break is applied.
          val = scale.transformIn(val, null);
        }
        tmpValueBuffer.arr[writeIdx++] = val;
        // val < linearValueExtent[0] && (linearValueExtent[0] = val);
        // val > linearValueExtent[1] && (linearValueExtent[1] = val);
      }
    }
  });
  // Indicatively, retrieving values above costs 40ms for 1e6 values in a certain platform.
  // timeRetrieve[1] = Date.now(); // _EC_PERF_
  var tmpValueBufferView = tmpValueBuffer.typed ? tmpValueBuffer.arr.subarray(0, writeIdx) : (tmpValueBuffer.arr.length = writeIdx, tmpValueBuffer.arr);
  // timeSort[0] = Date.now(); // _EC_PERF_
  // Sort axis values into ascending order to calculate gaps.
  if (tmpValueBuffer.typed) {
    // Indicatively, 5ms for 1e6 values in a certain platform.
    tmpValueBufferView.sort();
  } else {
    asc(tmpValueBufferView);
  }
  // timeAll[1] = timeSort[1] = Date.now(); // _EC_PERF_
  // console.log('axisStatistics_minGap_retrieve', timeRetrieve[1] - timeRetrieve[0]); // _EC_PERF_
  // console.log('axisStatistics_minGap_sort', timeSort[1] - timeSort[0]); // _EC_PERF_
  // console.log('axisStatistics_minGap_all', timeAll[1] - timeAll[0]); // _EC_PERF_
  var min = Infinity;
  for (var j = 1; j < writeIdx; ++j) {
    var delta = tmpValueBufferView[j] - tmpValueBufferView[j - 1];
    if (
    // - Different series normally have the same values (e.g., barA, barB, barC),
    //   which should be ignored.
    // - A single series with multiple same values is often not meaningful to
    //   create `bandWidth`, so it is also ignored.
    delta > 0 && delta < min) {
      min = delta;
    }
  }
  ecPreparePerKeyPerAxis.liPosMinGap = perKeyPerAxis.liPosMinGap = isNullableNumberFinite(min) ? min : writeIdx > 0 ? LINEAR_POSITIVE_MIN_GAP_SINGLE_VALID_VALUE : LINEAR_POSITIVE_MIN_GAP_NO_VALID_VALUE;
  ecPreparePerKeyPerAxis.serUids = newSerUids;
}
// For performance optimization.
var tmpValueBuffer = tryEnsureTypedArray({
  ctor: Float64ArrayCtor
}, 50 // An arbitrary initial capability.
);