晋太元中,武陵人捕鱼为业。缘溪行,忘路之远近。忽逢桃花林,夹岸数百步,中无杂树,芳草鲜美,落英缤纷。渔人甚异之,复前行,欲穷其林。 林尽水源,便得一山,山有小口,仿佛若有光。便舍船,从口入。初极狭,才通人。复行数十步,豁然开朗。土地平旷,屋舍俨然,有良田、美池、桑竹之属。阡陌交通,鸡犬相闻。其中往来种作,男女衣着,悉如外人。黄发垂髫,并怡然自乐。 见渔人,乃大惊,问所从来。具答之。便要还家,设酒杀鸡作食。村中闻有此人,咸来问讯。自云先世避秦时乱,率妻子邑人来此绝境,不复出焉,遂与外人间隔。问今是何世,乃不知有汉,无论魏晋。此人一一为具言所闻,皆叹惋。余人各复延至其家,皆出酒食。停数日,辞去。此中人语云:“不足为外人道也。”(间隔 一作:隔绝) 既出,得其船,便扶向路,处处志之。及郡下,诣太守,说如此。太守即遣人随其往,寻向所志,遂迷,不复得路。 南阳刘子骥,高尚士也,闻之,欣然规往。未果,寻病终。后遂无问津者。
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/*
Copyright 2013 Uniclau S.L. (www.uniclau.com)
This file is part of jbPivot.
jbPivot is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
jbPivot is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with jbPivot. If not, see <http://www.gnu.org/licenses/>.
*/
function grp_distinct(options) {
"use strict";
var self = {};
self.values = [];
self.names = {};
self.fieldtype = "number";
self.field = options.field;
if (typeof options.sort === "undefined") {
self.sort = "ASC";
} else {
self.sort = options.sort.toUpperCase();
}
if (typeof options.params !== "undefined") {
self.params = options.params;
} else {
self.params = null;
}
if (typeof options.showAll !== "undefined") {
self.showAll = options.showAll;
} else {
self.showAll = false;
}
self.CalculateValue = function (R) {
var V = "";
var res;
if (typeof R[this.field] === "function") {
V = R[this.field](this.params);
} else if (typeof R[this.field] === "number") {
V = R[this.field].toString();
} else if (typeof R[this.field] === "string") {
V = R[this.field];
this.fieldtype = "string";
}
if (typeof V !== "string") {
V = "";
}
if (typeof this.names[V] !== "undefined") {
res = this.names[V];
} else {
res = this.values.push(V) - 1;
this.names[V] = res;
}
if(this.sort === "MONTH_ORDER" || this.sort === "WEEK_ORDER") {
var mOrder = [];
if(this.sort === "MONTH_ORDER")
mOrder = ["January","February","March", "April", "May", "June","July","August","September","October","November","December",""];
else if(this.sort === "WEEK_ORDER") {
for(var i =1; i <= 53; i++) {
mOrder.push('Week '+i);
}
mOrder.push('');
}
var sortedArray = new Object();
var count = 0;
var objectKeys = Object.keys(this.names);
for (var i = 0; i < mOrder.length; i++) {
if ($.inArray(mOrder[i], objectKeys) != -1) {
sortedArray[mOrder[i]] = count;
count++;
}
}
this.names = sortedArray;
}
return res;
};
self.getStringValue = function (idx) {
return this.values[idx];
};
self.DisplayValues = function (UsedValues) {
var res;
var i;
if (this.showAll) {
res = [];
for (i = 0; i < this.values.length; i++) {
res.push(i.toString());
}
} else {
res = UsedValues.slice(0);
}
var self = this;
if(self.sort === "MONTH_ORDER" || self.sort === "WEEK_ORDER") {
var mOrder = [];
if(self.sort === "MONTH_ORDER")
mOrder = ["January","February","March", "April", "May", "June","July","August","September","October","November","December",""];
else if(self.sort === "WEEK_ORDER") {
for(var i = 1; i <= 53; i++) {
mOrder.push('Week '+i);
}
mOrder.push('');
}
var sortedArray = new Array();
for (var i = 0; i < mOrder.length; i++) {
if ($.inArray(mOrder[i], self.values) != -1) {
sortedArray.push(mOrder[i]);
}
}
self.values = sortedArray;
}
if(self.sort !== "DATE_ORDER") {
if (this.fieldtype === "string") {
res = res.sort(function (a, b) {
var res = 0;
if(self.sort !== "MONTH_ORDER" && self.sort !== "WEEK_ORDER") {
if (self.values[a] < self.values[b]) {
res = -1;
}
if (self.values[a] > self.values[b]) {
res = 1;
}
} else {
res = a-b;
}
return res;
});
} else {
res = res.sort(function (a, b) {
var aa = parseFloat(self.values[a]);
var bb = parseFloat(self.values[b]);
var res = 0;
if (aa < bb) {
res = -1;
}
if (aa > bb) {
res = 1;
}
return res;
});
}
}
if (this.sort === "DESC") {
res = res.reverse();
}
return res;
};
return self;
}
$.unc.plugins.addGrouper('distinct', grp_distinct);