pickle

How do I (safely) send a Python object to my Flask API?

由 前提是你 提交于 2021-02-07 09:16:04
问题 I am currently trying to build a Flask Web API that is able to receive a python object in a POST-request. I am using Python 3.7.1 for creating the request and Python 2.7 for running the API. The API is set up to run on my local machine. The object I am trying to send to my API is a RandomForestClassifier object from sklearn.ensemble , but this could be any of a wide variety of object types. So far I have tried to json.dumps() my object, but this object is not JSON serializable. I have also

How do I (safely) send a Python object to my Flask API?

由 不羁的心 提交于 2021-02-07 09:14:09
问题 I am currently trying to build a Flask Web API that is able to receive a python object in a POST-request. I am using Python 3.7.1 for creating the request and Python 2.7 for running the API. The API is set up to run on my local machine. The object I am trying to send to my API is a RandomForestClassifier object from sklearn.ensemble , but this could be any of a wide variety of object types. So far I have tried to json.dumps() my object, but this object is not JSON serializable. I have also

Python魔法方法指南

由 谁说我不能喝 提交于 2021-02-07 07:27:04
很多人想要我的一份学习笔记，所以在魔法指南之前，我放上我自己学习过程中提炼的一些知识点和自己的感悟，如果不想看我的笔记可以直接跳过。 从入门到进阶，一个很重要的点就是Python中的魔法方法，魔法方法就是可以给你的类增加魔力的特殊方法，如果你的对象实现了这些方法中的某一个，那么这个方法就会在特殊的情况下被 Python 所调用，你可以定义自己想要的行为，而这一切都是自动发生的。它们经常是两个下划线包围来命名的（比如 __init__ / __new__ 等等），Python的魔法方法是非常强大的。 如果你学习过Java，那你会发现Python中的魔法方法像是Java中的重载，Python中的魔法方法可以理解为：对类中的内置方法的重载，注意这里不是重写。 举个例子，Python中有个比较操作符 == 用来比较两个变量的大小，而这个操作符是通过内置函数 __eq__ 来实现的，所以我们只需要通过改变这个内置函数代码，就可以改变重新定义这个操作符的行为。 我们定义一个类Word，继承自str类，现需要重新定义该类的操作符==，使这个操作符用来判断两个字符串长度是否相等，而不是通过字母顺序判断两个字符串是否相等。注意该变化只适用于Word类，而不适用于其它类。 再举个例子：Python中的 __new__ 方法是对象实例化时调用的第一个方法，该方法仅读取一个 cls

save a dependecy graph in python

由 吃可爱长大的小学妹 提交于 2021-02-07 06:03:54
问题 I am using in python3 the stanford dependency parser to parse a sentence, which returns a dependency graph. import pickle from nltk.parse.stanford import StanfordDependencyParser parser = StanfordDependencyParser('stanford-parser-full-2015-12-09/stanford-parser.jar', 'stanford-parser-full-2015-12-09/stanford-parser-3.6.0-models.jar') sentences = ["I am going there","I am asking a question"] with open("save.p","wb") as f: pickle.dump(parser.raw_parse_sents(sentences),f) It gives an error :

save a dependecy graph in python

由 大憨熊 提交于 2021-02-07 06:03:32
问题 I am using in python3 the stanford dependency parser to parse a sentence, which returns a dependency graph. import pickle from nltk.parse.stanford import StanfordDependencyParser parser = StanfordDependencyParser('stanford-parser-full-2015-12-09/stanford-parser.jar', 'stanford-parser-full-2015-12-09/stanford-parser-3.6.0-models.jar') sentences = ["I am going there","I am asking a question"] with open("save.p","wb") as f: pickle.dump(parser.raw_parse_sents(sentences),f) It gives an error :

cPickle - different results pickling the same object

由 送分小仙女□ 提交于 2021-02-07 05:52:29
问题 Is anyone able to explain the comment under testLookups() in this code snippet ? I've run the code and indeed what the comment sais is true. However I'd like to understand why it's true, i.e. why is cPickle outputting different values for the same object depending on how it is referenced. Does it have anything to do with reference count? If so, isn't that some kind of a bug - i.e. the pickled and deserialized object would have an abnormally high reference count and in effect would never get

cPickle - different results pickling the same object

由 限于喜欢 提交于 2021-02-07 05:52:00
问题 Is anyone able to explain the comment under testLookups() in this code snippet ? I've run the code and indeed what the comment sais is true. However I'd like to understand why it's true, i.e. why is cPickle outputting different values for the same object depending on how it is referenced. Does it have anything to do with reference count? If so, isn't that some kind of a bug - i.e. the pickled and deserialized object would have an abnormally high reference count and in effect would never get

Can't pickle <type 'function'>: attribute lookup __builtin__.function failed

由 别来无恙 提交于 2021-02-07 05:12:52
问题 I'm receiving this error in my Django application, however, it only happens once a day or less and it's proving extremely difficult to debug. Environment: Request Method: POST Django Version: 1.3.1 Python Version: 2.6.6 Installed Applications: ['django.contrib.contenttypes', 'django.contrib.sessions', 'django.contrib.sites', 'fimedlabs', 'data', 'djcelery'] Installed Middleware: ('django.middleware.common.CommonMiddleware', 'django.contrib.sessions.middleware.SessionMiddleware', 'fimedlabs

Can't pickle <type 'function'>: attribute lookup __builtin__.function failed

由 泪湿孤枕 提交于 2021-02-07 05:11:13
问题 I'm receiving this error in my Django application, however, it only happens once a day or less and it's proving extremely difficult to debug. Environment: Request Method: POST Django Version: 1.3.1 Python Version: 2.6.6 Installed Applications: ['django.contrib.contenttypes', 'django.contrib.sessions', 'django.contrib.sites', 'fimedlabs', 'data', 'djcelery'] Installed Middleware: ('django.middleware.common.CommonMiddleware', 'django.contrib.sessions.middleware.SessionMiddleware', 'fimedlabs

Can't pickle <type 'function'>: attribute lookup __builtin__.function failed

由 牧云@^-^@ 提交于 2021-02-07 05:10:04
问题 I'm receiving this error in my Django application, however, it only happens once a day or less and it's proving extremely difficult to debug. Environment: Request Method: POST Django Version: 1.3.1 Python Version: 2.6.6 Installed Applications: ['django.contrib.contenttypes', 'django.contrib.sessions', 'django.contrib.sites', 'fimedlabs', 'data', 'djcelery'] Installed Middleware: ('django.middleware.common.CommonMiddleware', 'django.contrib.sessions.middleware.SessionMiddleware', 'fimedlabs
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