st_relate::= ST_RELATE "(" geometry1 "," geometry2 [ "," boundaryNodeRule ] ")"Copied! ST_RELATE函数的功能是根据输入的边界值规则(boundaryNodeRule),计算用于表示输入的两个Geometry之间空间关系的DE-9IM矩阵字符串。 示例(单机HEAP表)--ST_GEOMFROMTEXT函数会根据给定的WKT和SRID返回一个ST_GEOMETRY数据SELECT ST_Relate(ST_GeomFromText('LINESTRING ------------------------- 1F100F102 SELECT ST_Relate ------------------------- FF0FFF102 SELECT ST_Relate
[ [ { "id": 0, "cont": "房顶", "pos": "n", "ne": "O", "parent": 1, "relate "semrelate": "Loc", "arg": [], "sem": [ { "id": 0, "parent": 2, "relate string `json:"relate"` Semparent int64 `json:"semparent"` Semrelate string `json:"semrelate"` string `json:"relate"` } type Arg1 struct { Id int64 `json:"id"` Type string `json:"type"` Beg ": "ATT","semparent": 2,"semrelate": "Loc","arg": [],"sem": [{"id": 0, //"parent": 2,"relate": "Loc"
pointA: " + circleA.relate(pointA)); System.out.println("circleA relate pointB: " + circleA.relate circleA: " + rectangleA.relate(circleA)); } 输出结果: circleA relate pointA:DISJOINT circleA relate pointB polygonB: " + polygonA.relate(polygonB)); } 输出结果: polygonA area:10.00 polygonA relate polygonB:INTERSECTS circleEast: " + geoCircleWest.relate(geoCircleEast)); } 输出结果: cartesian circleLeft relate circleRight : DISJOINT geodesic circleWest relate circleEast: INTERSECTS 四 解析标准数据格式 Spatial4j支持对标准空间描述语法的序列化和反序列化
更新接口 "stock_hot_rank_relate_em" # 个股人气榜-相关股票 相关股票 接口: stock_hot_rank_relate_em 目标地址: http://guba.eastmoney.com symbol="SZ000665" 输出参数 名称 类型 描述 item object - value object - 接口示例 import akshare as ak stock_hot_rank_relate_em_df = ak.stock_hot_rank_relate_em(symbol="SZ000665") print(stock_hot_rank_relate_em_df) 数据示例
=> { expect(relate.length).toBe(2); expect(relate).toEqual(datas); expect(service.getRelatedCache => { expect(relate.length).toBe(3); expect(relate).toEqual(datas2); expect(relate.length ).not.toBe(2); expect(relate).not.toEqual(datas); expect(service.getRelatedCache(0).length => { expect(relate.length).toBe(2); expect(relate).toEqual(datas); expect(service.getRelatedCache => { expect(relate.length).toBe(3); expect(relate).toEqual(datas2); expect(relate.length
": relate_courses,
})
注意:双下划线代表代表传进来的是一个可以遍历的list。
<span class="name autowrap ": relate_courses,
})
# 课程评论页面
class CourseCommentView(LoginRequiredMixin, View):
login_url ": relate_courses,
"video": video,
})
上面的代码和之前在课程章节信息里面定义的几乎一模一样,只是course的来源不一样。
graylog applications juju relate apache2:reverseproxy graylog:website juju relate graylog:elasticsearch elasticsearch:client juju relate graylog:mongodb mongodb:database juju relate filebeat:beats-host kubernetes-master :juju-info juju relate filebeat:beats-host kubernetes-worker:jujuu-info ## relate prometheus applications juju relate prometheus:grafana-source grafana:grafana-source juju relate telegraf:prometheus-client prometheus:target juju relate kubernetes-master:juju-info telegraf:juju-info juju relate kubernetes-worker
item_cnt[item] += 1 sim_item.setdefault(item, {}) for loc2, relate_item in enumerate(items): if item == relate_item: continue # 点击时间提取 t2 = user_time_dict[user][loc2] sim_item[item].setdefault(relate_item 10000) / math.log(1 + len(items)) # 逆向 else: sim_item[item][relate_item * 10000) / math.log(1 + len(items)) # 正向 else: sim_item[item][relate_item
B WHERE A.FLOW_INID = B.RELATE_FLOW_INID AND B.FLOW_INID = :1 ) OR EXISTS (SELECT 1 FROM FLOW_RELATE_INFO B WHERE A.FLOW_INID = B.FLOW_INID AND B.RELATE_FLOW_INID = :2 ) UNION FLOW_RELATE_INFO 表只有480条记录,8 blocks. 在不改写SQL的情况下,我们可以通过创建FLOW_RELATE_INFO表上 (FLOW_INID,RELATE_FLOW_INID)两字段联合索引,将sql执行效率提高到0.37秒(OA系统相对可以接受的一个响应时间 FROM FLOW_RELATE_INFO WHERE FLOW_INID = '77913' union SELECT FLOW_INID FROM FLOW_RELATE_INFO
RuleConstant#STRATEGY_DIRECT} for direct flow control (by origin); * {@link RuleConstant#STRATEGY_RELATE refResource)) { return null; } if (strategy == RuleConstant.STRATEGY_RELATE refResource)) { return null; } if (strategy == RuleConstant.STRATEGY_RELATE refResource)) { return null; } if (strategy == RuleConstant.STRATEGY_RELATE
= Course.objects.filter(tag=tag)[:3] else: relate_courses = [] return render (request, "course-detail.html", { 'course':course, 'relate_courses':relate_courses }} 学习时长:{{ relate_course.learn_times = Course.objects.filter(tag=tag)[:2] else: relate_courses = [] return render (request, "course-detail.html", { 'course':course, 'relate_courses':relate_courses
$_SERVER['PATH_INFO'] : ''; $relate_url = isset($_SERVER['REQUEST_URI']) ? $relate_url; }
INNER JOIN wx_element_info as C on C.element_id = B.element_id INNER JOIN wx_resource_v2 as D on D.relate_id = C.id WHERE D.is_del = 0 AND D.relate_type = 2 AND A.name LIKE '%Why_Do_We_Celebrate_Thanksgiving = C.id WHERE D.is_del = 0 AND D.relate_type = 2 AND A.name LIKE '%Why_Do_We_Celebrate_Thanksgiving empty($label)) { $whereLabel['D.is_del'] = 0; $whereLabel['D.relate_type'] = 2; $whereLabel ' => ResourceV2Model::RELATE_TYPE_ELEMENT_INFO, 'relate_id' => ['in', $eleInfoIds],
node.end = true; } } } 构建完之后就是自动补全了,核心是深度优先的递归算法 //自动补全 relate let node = this.root; let arr = []; let word = ""; $("#relate arr, value, node); console.log(arr) for (let w of arr) { $("#relate
Author:cyw0413 * @param $user * @param $coupon */ public function insertUserCoupon($user,$coupon) { $relate quantity']; $couponConfig->save(); }else{ throw new \Exception("优惠券剩余数量不够扣减"); } } $relate config_id'], 'activity_id' => $item['activity_id'] ]; ActivityCouponUserRelateBaseModel::create($relate ); $relate[] = $this->getUserCouponRate($user['user_id'],$item['activity_id']); } return $relate
False) authorid = db.Column(db.Integer, db.ForeignKey('authorinfo.authorid'), nullable=False) relate_book = db.relationship('BookInfo', backref=db.backref('bookauthorinfo1', lazy='dynamic')) relate_author db.Column(db.Date) returndate = db.Column(db.Date) returnflag = db.Column(db.String(2)) relate_borrower = db.relationship('BorrowerInfo', backref=db.backref('borrowerbook', lazy='dynamic')) relate_book bookstock.stocknum) # db.relationship应用 # 查询isbnno == 'ISBN0008'的库存,返回BookStockInfo对象值 # 可relate_book
{{ relate_course.name }}
< ':relate_courses,
})
现在你点“开始学习”其它课程后,在“该课的同学好学过”下面能看到,说明没问题
? (request, "course-detail.html", {
'course':course,
'relate_courses':relate_courses ':relate_courses,
'video':video,
})
{% extends 'base.html' %}
{% block titile %}
RELATE_TO_SHORTER关键字会将其更改为缩放到较短的输入字符串。 select col1, col2, fuzzy_match(levenshtein, col1, col2, relate_to_shorter) as levenshtein , fuzzy_match(jaro_winkler, col1, col2, relate_to_shorter) as jaro_winkler, fuzzy_match (bigram, col1, col2, relate_to_shorter) as bigram, fuzzy_match(trigram, col1, col2, relate_to_shorter (longest_common_substring, col1, col2, relate_to_shorter) as lcs from match_tab; COL1 COL2
对应 SQL: SELECT sum(p.exempt_amount) exempt_amount FROM table1 p JOIN table2 c ONp.relate_id=c.id AND c.privilege_amount,c.trade_amount,c.trade_amount_before FROM table1p JOIN table2c ON p.relate_id ANDp.payment_type not in(4,5,6,8,9,10,11,12) GROUP BY p.relate_id pi.useful_amount, 0) -IFNULL(pi.change_amount, 0))) redundant FROM table2c JOIN table1 p ON c.id = p.relate_id t.trade_amount_before) AS roundAmount, sum(-p.exempt_amount) AS exemptAmount FROM table2t LEFT JOINtable1 p ON p.relate_id
qbl=relate_question_1 只根据图片内存大小是没法确定图片尺寸的,200kb是说的图片实际内存,像素用来描述图片清晰度。 qbl=relate_question_0 ================ 据资料记载,1958年,生活在这里的纳瓦霍部落印第安人建立了这个公园,将这里的一座座纪念碑,按岩石所处的不同侵蚀阶段,分为三种