无法存储多项选择题的数据。 （非法字符串偏移'回答'）

Question

我在尝试存储多项选择题的结果时遇到了一些困难。所以我有2个表[问题]和[答案]。所有问题都存储在问题表中，当我想显示时，我就有了这个

{{!!Form::open(...)!!}}
@foreach ($questions as $question)

<div>{{$question->question}}</div>
     <div class="form-group">
         {!! Form::label('answer', 'Score') !!}
        {{ Form::selectRange(' answer[]', 1, 10) }}
        {{ Form::hidden('question_id[]', $question->id) }}
        {{ Form::hidden('user_id[]', $userId) }}
</div>
@endforeach
{{!!Form::submit(...)!!}}
{{!!Form::close()!!}}

好的，所以我也传递了question_id和user_id，这对所有问题都是一样的。我的控制器看起来像这样。

public function store(Request $request)
{
    $arr_answers = $request->all();

    foreach ($arr_answers as $row) {

    QuestionResults::create([
            'answer' => $row['answer'],
            'question_id' => $row['question_id'],
         'user_id' => $row['user_id'],
      ]);
 }

return "working";

$ arr_answers返回3个数组，答案，question_id和user_id，都有正确的信息，所以我的思考过程是foreach循环应该为每个值返回一个int但不幸的是它不打球并返回“非法字符串偏移量”。

请有人指出我的解决方案或更好的方法来做到这一点。

Answer 1

我不了解Laravel，但from logging import getLogger, basicConfig, INFO import numpy as np import xgboost as xgb from sklearn.datasets import load_digits from sklearn.model_selection import KFold # Some logging settings basicConfig(level=INFO) logger = getLogger(__name__) def log_evaluation(period=1, show_stdv=True): """Create a callback that logs evaluation result with logger. Parameters ---------- period : int The period to log the evaluation results show_stdv : bool, optional Whether show stdv if provided Returns ------- callback : function A callback that logs evaluation every period iterations into logger. """ def _fmt_metric(value, show_stdv=True): """format metric string""" if len(value) == 2: return '%s:%g' % (value[0], value[1]) elif len(value) == 3: if show_stdv: return '%s:%g+%g' % (value[0], value[1], value[2]) else: return '%s:%g' % (value[0], value[1]) else: raise ValueError("wrong metric value") def callback(env): if env.rank != 0 or len(env.evaluation_result_list) == 0 or period is False: return i = env.iteration if i % period == 0 or i + 1 == env.begin_iteration or i + 1 == env.end_iteration: msg = '\t'.join([_fmt_metric(x, show_stdv) for x in env.evaluation_result_list]) logger.info('[%d]\t%s\n' % (i, msg)) return callback rng = np.random.RandomState(31337) print("Zeros and Ones from the Digits dataset: binary classification") digits = load_digits(2) y = digits['target'] X = digits['data'] kf = KFold(n_splits=2, shuffle=True, random_state=rng) for train_index, test_index in kf.split(X): param = {'max_depth': 2, 'eta': 0.3, 'silent': 1, 'objective': 'binary:logistic'} dtrain = xgb.DMatrix(X[train_index], y[train_index]) dtest = xgb.DMatrix(X[test_index], y[test_index]) # specify validations set to watch performance watchlist = [(dtest, 'eval'), (dtrain, 'train')] num_round = 2 # add logger callbacks = [log_evaluation(1, True)] bst = xgb.train(param, dtrain, num_round, watchlist, callbacks=callbacks) 最有可能返回结构为$arr_answers数组作为3个子数组和提交。因此，使用相同的密钥访问3个阵列：

$_POST