StackExchange API：获取问题正文内容的完整指南

import requests

# 假设已设置 Stack Exchange API key
stack_exchange_api_key = 'your_stack_exchange_api_key'

stack_exchange_endpoint = 'https://api.stackexchange.com/2.3/questions'
stack_exchange_params = {
    'site': 'stackoverflow',
    'key': stack_exchange_api_key,
    'order': 'desc',
    'sort': 'creation',
    'tagged': 'python',
    'answers': 0,  # 过滤未回答的问题
}

response = requests.get(stack_exchange_endpoint, params=stack_exchange_params)

if response.status_code == 200:
    data = response.json()
    for question in data.get('items', []):
        print(f"Question Title: {question.get('title')}")
        # print(f"Question Body: {question.get('body')}") # 此时 'body' 字段可能缺失或为空
else:
    print(f"Error: {response.status_code} - {response.text}")

import requests

# 假设已设置 Stack Exchange API key
stack_exchange_api_key = 'your_stack_exchange_api_key'

stack_exchange_endpoint = 'https://api.stackexchange.com/2.3/questions'
stack_exchange_params = {
    'site': 'stackoverflow',
    'key': stack_exchange_api_key,
    'filter': 'withbody',  # 关键：添加此过滤器以获取问题正文
    'order': 'desc',
    'sort': 'creation',
    'tagged': 'python',
    'answers': 0,  # 过滤未回答的问题
}

# 发送API请求
response = requests.get(stack_exchange_endpoint, params=stack_exchange_params)

# 检查请求是否成功
if response.status_code == 200:
    # 解析响应JSON
    data = response.json()

    # 遍历问题并打印标题和正文
    for question in data.get('items', []):
        print(f"Question Title: {question.get('title')}")
        print(f"Question Body: {question.get('body')}") # 现在 'body' 字段应该存在了
        print("-" * 50) # 分隔线
else:
    print(f"Error: {response.status_code} - {response.text}")

Question Title: Is there a way to specify the initial population in optuna's NSGA-II?
Question Body: <p>I created a neural network model that predicts certain properties from coordinates.</p>
    <p>Using that model, I want to find the coordinates that minimize the properties in optuna's NSGA-II sampler.</p>
    <p>Normally, we would generate a random initial population by specifying a range of coordinates.</p>
    <p>However, I would like to include the coordinates used to construct the neural network as part of the initial population.</p>
    <p>Is there any way to do it?</p>
    <p>The following is a sample code.
    I want to include a part of the value specified by myself in the "#" part like x, y = [3, 2], [4.2, 1.4]</p>
    <code>import optuna
    import matplotlib.pyplot as plt
    %matplotlib inline

    import warnings
    warnings.simplefilter('ignore')

    def objective(trial):
        x = trial.suggest_uniform("x", 0, 5)   #This is the normal way
        y = trial.suggest_uniform("y", 0, 3)   #This is the normal way
        v0 = 4 * x ** 2 + 4 * y ** 2
        v1 = (x - 5) ** 2 + (y - 5) ** 2
        return v0, v1

    study = optuna.multi_objective.create_study(
        directions=["minimize", "minimize"],
        sampler=optuna.multi_objective.samplers.NSGAIIMultiObjectiveSampler()
    )

    study.optimize(objective, n_trials=100)
    </code>
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# ... 其他问题 ...