SyntaxError：在多个过滤器元素查询中，位置参数跟随关键字参数

Question

保持低于错误状态。

.bg1 {
  background-color: lightgrey;
}

.bg2 {
  background-color: lightblue;
}

在视图内的这一行代码（views.py）。

<link rel="stylesheet" href="https://stackpath.bootstrapcdn.com/bootstrap/4.3.1/css/bootstrap.min.css" integrity="sha384-ggOyR0iXCbMQv3Xipma34MD+dH/1fQ784/j6cY/iJTQUOhcWr7x9JvoRxT2MZw1T" crossorigin="anonymous">

<div class="container mt-5">
  <div class="row">
    <div class="col-6 bg1">
      <div class="row">
        <div class="col-6 mx-auto ml-md-0">
          <select class="form-control mt-5 mb-5">
            <option>select one</option>
            <option>select two</option>
          </select>
        </div>
      </div>
    </div>
    <div class="col-6 bg2">
      <div class="row">
        <div class="col-6 col-sm-6">
          &nbsp;
        </div>
      </div>
    </div>
  </div>
</div>

我正在使用的模型是：

event <- c(664,  677,  295 , 407, 2255, 2435,  717,  831,  130,  130,  864,  849,  231,  178, 1222,  632,   76,   51,
           177,  202, 1825, 1943,  723, 815,  188,  186, 175,  154,  124,  116,  542,  578,  
           103,   86,  942,  918,  149,  160,  276,  269,  404,  427,  789,  892)
n <- c(7802,  7801,  1752,  1739, 22961, 22891,  6259,  6303,   713,   730,  6930,  6955,  2012,  2006, 14095,
       7067,   401,   400,   819, 812,  9333,  9291,  3820,  3825,   621,   616,   707,   706,   641,   628,  2725,  
       2704, 502,   501,  9619,  9601,  1913,  1886, 1043,  1040,  3620,  3623,  6813,  6795)

studlab <- rep(LETTERS[1:22], each=2)
treatment <- c("C",  "Pl", "C",  "Pl", "C",  "Pl", "C",  "Pl", "Pr", "C",  "T",  "C",  "T",  "Pr", "T",  "Pl", "T",  
               "C",  "T",  "C",  "T",  "C",  "T",  "C",  "T",  "C",  "T",  "C",  "T",  "C",  "T",  "C",  
               "T",  "C",  "T",  "Pl", "T",  "C", "Pr", "C",  "Pr", "C",  "Pr", "C")

temp <- data.frame(studlab = studlab, event = event, n = n, treatment = treatment)

library(gemtc)
library(netmeta)

temp <- pairwise(treatment, event = event, n = n, studlab = studlab, data = temp, sm ="OR" )

network_bin_re <- netmeta(TE, seTE, treat1, treat2, studlab, data=temp, sm="OR", reference="Pl",
                            comb.fixed=FALSE, comb.random=TRUE)

forest(network_bin_re, ref = "Pl", digits=3, xlab = "Odds Raio")