152 lines
4.2 KiB
JSON
152 lines
4.2 KiB
JSON
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{
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"timestamp": "2026-01-07 14:04:24",
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"job_position": "Python开发",
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"questions": [
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{
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"main_question": "请详细解释Python中的GIL（全局解释器锁）的实现机制，以及它对多线程编程的深层影响。",
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"follow_ups": [
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"GIL的存在对CPU密集型和I/O密集型任务的影响有何不同？请具体分析其原因。",
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"在Python 3.2+中，GIL的实现有哪些改进？这些改进如何影响线程切换性能？",
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"除了使用多进程，还有哪些技术可以绕过GIL的限制？请比较它们的优缺点。"
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]
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},
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{
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"main_question": "请深入分析Python中的内存管理机制，包括引用计数、垃圾回收和内存池。",
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"follow_ups": [
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"Python的循环引用问题是如何产生的？垃圾回收器如何检测和处理循环引用？",
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"Python的分代垃圾回收机制是如何工作的？各代的回收策略有什么不同？",
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"如何在Python中优化内存使用？请结合具体场景说明。"
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]
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},
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{
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"main_question": "请详细解释Python中的装饰器（Decorator）的实现原理，以及如何实现带参数的装饰器和类装饰器。",
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"follow_ups": [
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"装饰器的执行时机是什么时候？它如何影响被装饰函数的元数据？",
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"如何实现一个装饰器，使其能够保留被装饰函数的文档字符串和函数名？",
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"装饰器链的执行顺序是怎样的？请举例说明。"
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]
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},
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{
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"main_question": "请深入分析Python中的生成器（Generator）和协程（Coroutine）的工作原理，以及它们在异步编程中的应用。",
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"follow_ups": [
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"生成器表达式和列表推导式在内存使用上有什么本质区别？请结合big O表示法分析。",
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"Python 3.5+引入的async/await语法是如何基于生成器实现的？",
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"如何使用asyncio库实现高效的异步I/O操作？请给出具体示例。"
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]
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},
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{
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"main_question": "请详细解释Python中的面向对象编程高级特性，包括元类（Metaclass）、描述符（Descriptor）和混入（Mixin）。",
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"follow_ups": [
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"元类的作用是什么？如何使用元类控制类的创建过程？",
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"描述符协议的三个方法（__get__, __set__, __delete__）是如何工作的？请实现一个自定义描述符。",
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"Mixin模式在Python中的应用场景是什么？如何避免Mixin带来的方法名冲突问题？"
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]
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}
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],
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"answers": [
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"j",
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"j",
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"1",
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"1",
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"1",
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"1",
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"1"
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],
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"scores": [
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"一般",
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"需要改进",
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"一般",
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"良好",
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"需要改进",
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"需要改进",
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"需要改进"
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],
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"interviewers": [
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"严谨型"
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],
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"question_interviewers": [
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"严谨型",
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"严谨型",
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"严谨型",
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"严谨型",
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"严谨型",
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"严谨型",
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"严谨型"
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],
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"answer_timestamps": [
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{
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"question_index": 0,
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"start_time": "14:04:04",
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"end_time": "14:04:09"
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},
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{
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"question_index": 0,
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"start_time": "14:04:04",
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"end_time": "14:04:12"
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},
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{
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"question_index": 1,
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"start_time": "14:04:12",
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"end_time": "14:04:16"
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},
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{
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"question_index": 2,
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"start_time": "14:04:16",
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"end_time": "14:04:19"
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},
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{
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"question_index": 3,
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"start_time": "14:04:19",
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"end_time": "14:04:21"
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},
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{
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"question_index": 3,
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"start_time": "14:04:19",
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"end_time": "14:04:22"
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},
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{
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"question_index": 4,
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"start_time": "14:04:22",
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"end_time": "14:04:24"
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}
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],
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"answer_durations": [
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3.048585,
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1.221883,
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2.614996,
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1.84018
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],
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"answer_changes": [
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"changes": 1
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{
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"changes": 1
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"question_index": 4,
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"changes": 1
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}
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]
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}
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