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1. Top results related to what is python's logging module in eclipse c language

   • What is Python's default logging formatter?

     Top Answer

     Answered Jul 18, 2024 · 91 votes

     The default format is located here which is:

     BASIC_FORMAT = "%(levelname)s:%(name)s:%(message)s" -

     The section on formatting in the python docs will tell you how you can customize it. Here is one example on how you can customize it.

     import sysimport logging-logging.basicConfig( level=logging.DEBUG, format="[%(asctime)s] %(levelname)s [%(name)s.%(funcName)s:%(lineno)d] %(message)s", datefmt="%d/%b/%Y %H:%M:%S", stream=sys.stdout)-logging.info("HEY")-

     Which results in:

     [26/May/2013 06:41:40] INFO [root.<module>:1] HEY-

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     1/5

   • What is the significance of condition.notify() in python's threading module?

     Top Answer

     Answered Aug 06, 2018 · 0 votes

     1) It signals thread waiting for a lock release it can continue execution.

     2) Condition.notify(n) takes up to n threads from the internal queue and calls release on the locks they are waiting for - thus waking them up. If the internal queue is empty, there is no one to wake up and the notify call has no effect. That's why from the beginning, removing notify had no effect, but once consumer threads called wait, there was no one to wake them up and they were waiting for ever.

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     2/5

   • What is the equivalent of Python's list[:x] in C++?

     Top Answer

     Answered Apr 01, 2015 · 3 votes

     There are several ways:

     1) Create a vector v consisting of first x elements as:

     std::vector<T> v { begin(L), begin(L) + x };-

     2) Pass first x elements to a function, as pair of iterators:

     f(begin(L), begin(L) + x);-

     where f accepts two iterators as arguments — explore the standard algorithms from <algorithm>, as almost all of them work on pair of iterators.

     Depending on your use case, you could use any of them.

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     3/5

   • What is the C++ equivalent of Python's "in" operator?

     Top Answer

     Answered Oct 06, 2020 · 63 votes

     The time complexity of Python's in operator varies depending on the data structure it is actually called with. When you use it with a list, complexity is linear (as one would expect from an unsorted array without an index). When you use it to look up set membership or presence of a dictionary key complexity is constant on average (as one would expect from a hash table based implementation):

     • https://wiki.python.org/moin/TimeComplexity

     In C++ you can use std::find to determine whether or not an item is contained in a std::vector. Complexity is said to be linear (as one would expect from an unsorted array without an index). If you make sure the vector is sorted, you can also use std::binary_search to achieve the same in logarithmic time.

     • http://en.cppreference.com/w/cpp/algorithm/find
     • Check if element is in the list (contains)
     • Check if element found in array c++
     • http://en.cppreference.com/w/cpp/algorithm/binary_search

     The associative containers provided by the standard library (std::set, std::unordered_set, std::map, ...) provide the member functions find() and count() and contains() (C++20) for this. These will perform better than linear search, i.e., logarithmic or constant time depending on whether you have picked the ordered or the unordered alternative. Which one of these functions to prefer largely depends on what you want to achieve with that info afterwards, but also a bit on personal preference. (Lookup the documentation for details and examples.)

     • How to check that an element is in a std::set?
     • How to check if std::map contains a key without doing insert?
     • https://en.wikipedia.org/wiki/Associative_containers
     • http://en.cppreference.com/w/cpp/container

     If you want to, you can use some template magic to write a wrapper function that picks the correct method for the container at hand, e.g., as presented in this answer.

     Other Answers

     Answered Jun 19, 2017 · 18 votes

     You can approach this in two ways:

     You can use std::find

     from <algorithm>:

     auto it = std::find(container.begin(), container.end(), value);if (it != container.end()) return it; -

     or you can iterate through every element in your containers with for ranged loops:

     for(const auto& it : container){ if(it == value) return it;} -

     Other Answers

     Answered Jun 19, 2017 · 14 votes

     Python does different things for in depending on what kind of container it is. In C++, you'd want the same mechanism. Rule of thumb for the standard containers is that if they provide a find(), it's going to be a better algorithm than std::find() (e.g. find() for std::unordered_map is O(1), but std::find() is always O(N)).

     So we can write something to do that check ourselves. The most concise would be to take advantage of C++17's if constexpr and use something like Yakk's can_apply

     :

     template <class C, class K>using find_t = decltype(std::declval<C const&>().find(std::declval<K const&>()));-template <class Container, class Key>bool in(Container const& c, Key const& key) { if constexpr (can_apply<find_t, Container, Key>{}) { // the specialized case return c.find(key) != c.end(); } else { // the general case using std::begin; using std::end; return std::find(begin(c), end(c), key) != end(c); }}-

     In C++11, we can take advantage of expression SFINAE:

     namespace details { // the specialized case template <class C, class K> auto in_impl(C const& c, K const& key, int ) -> decltype(c.find(key), true) { return c.find(key) != c.end(); }- // the general case template <class C, class K> bool in_impl(C const& c, K const& key, ...) { using std::begin; using std::end; return std::find(begin(c), end(c), key) != end(c); }}-template <class Container, class Key>bool in(Container const& c, Key const& key) { return details::in_impl(c, key, 0);}-

     Note that in both cases we have the using std::begin; using std::end; two-step in order to handle all the standard containers, raw arrays, and any use-provided/adapted containers.

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     4/5

   • What is Python's heapq module?

     Top Answer

     Answered Jan 08, 2019 · 113 votes

     The heapq module maintains the heap invariant, which is not the same thing as maintaining the actual list object in sorted order.

     Quoting from the heapq

     documentation:

     Heaps are binary trees for which every parent node has a value less than or equal to any of its children. This implementation uses arrays for which heap[k] <= heap[2*k+1] and heap[k] <= heap[2*k+2] for all k, counting elements from zero. For the sake of comparison, non-existing elements are considered to be infinite. The interesting property of a heap is that its smallest element is always the root, heap[0].

     This means that it is very efficient to find the smallest element (just take heap[0]), which is great for a priority queue. After that, the next 2 values will be larger (or equal) than the 1st, and the next 4 after that are going to be larger than their 'parent' node, then the next 8 are larger, etc.

     You can read more about the theory behind the datastructure in the Theory section of the documentation. You can also watch this lecture from the MIT OpenCourseWare Introduction to Algorithms course, which explains the algorithm in general terms.

     A heap can be turned back into a sorted list very efficiently:

     def heapsort(heap): return [heapq.heappop(heap) for _ in range(len(heap))]-

     by just popping the next element from the heap. Using sorted(heap) should be faster still, however, as the TimSort algorithm used by Python’s sort will take advantage of the partial ordering already present in a heap.

     You'd use a heap if you are only interested in the smallest value, or the first n smallest values, especially if you are interested in those values on an ongoing basis; adding new items and removing the smallest is very efficient indeed, more so than resorting the list each time you added a value.

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     5/5

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2. stackoverflow.com · questions · 19438611Using Python logging module in C - Stack Overflow

   stackoverflow.com · questions · 19438611

   

   Oct 18, 2013 · I am interested in using the Python logging module in a C program. I've tried reading over the documentation at http://docs.python.org/2/extending/embedding.html , but I'm rather stuck. This is what I want to accomplish (Python equivalent): import logging, logging.handlers. logger = logging.getLogger('')

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4. stackoverflow.com · questions · 6044443Python logging module on Eclipse - Stack Overflow

   stackoverflow.com · questions · 6044443

   

   May 18, 2011 · It will depends on how you configure your logging system. If you use only print statement, it should be shown in the console view of eclipse. If you use logging and you configured a Console handler it should also be displayed in the console eclipse view.

   Code sample

   log = logging.getLogger("appname")

   log.setLevel(logging.DEBUG)

   ch = logging.StreamHandler()

   ch.setLevel(logging.DEBUG)

   fmt = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')...

   See more on stackoverflow

5. docs.python.org · 3 · librarylogging — Logging facility for Python — Python 3.12.6 ...

   docs.python.org · 3 · library

   

   This module defines functions and classes which implement a flexible event logging system for applications and libraries.

6. ics.uci.edu · handouts · introtopythonineclipsePython Programming in the Eclipse IDE - Donald Bren School of ...

   ics.uci.edu · handouts · introtopythonineclipse

   

   This handout introduces Python programming in the Eclipse Integrated Development Environment (IDE).

7. medium.com · @alains · from-beginners-to-pros-pythonFrom Beginners to Pros: Python Logging Explained in Detail

   medium.com · @alains · from-beginners-to-pros-python

   

   Jun 3, 2022 · In this tutorial, we’ll take a look at the Python logging module and how it can be used to track events in your code. We’ll cover both the basic use case; logging messages to a file and more ...

8. www.vogella.com · tutorials · PythonPython Development with PyDev and Eclipse - Tutorial - vogella

   www.vogella.com · tutorials · Python

   

   Jun 10, 2016 · This tutorial will first explain how to install Python and the Python plugins for Eclipse. It will then create a small Python project to show the usage of the plugin. Afterwards the general constructs of Python are explained.

9. People also ask

   Why should I use a Python logging API?

   • The key benefit of having the logging API provided by a standard library module is that all Python modules can participate in logging, so your application log can include your own messages integrated with messages from third-party modules. Here’s a simple example of idiomatic usage: If you run myapp.py, you should see this in myapp.log:

   logging — Logging facility for Python — Python 3.12.5 documentation

   docs.python.org/3/library/logging.html

   See all results for this question

   What is a configuration API for the logging module?

   • Configuration API for the logging module. Useful handlers included with the logging module. The proposal which described this feature for inclusion in the Python standard library. This is the original source for the logging package.

   logging — Logging facility for Python — Python 3.12.5 documentation

   docs.python.org/3/library/logging.html

   See all results for this question

   What is a logging module?

   • The most basic use case for the logging module is to log messages to a file. To do this, we’ll need to create a logger and a handler. The logger is responsible for tracking events that happen in your code, and the handler decides what to do with those events (in this case, we’ll just write them to a file). First, let’s import the logging module:

   From Beginners to Pros: Python Logging Explained in Detail - Medium

   medium.com/@alains/from-beginners-to-pros-python-logging-explained-in-detail-a312c39bcdb8

   See all results for this question

   Is logging included in the Python standard library?

   • The proposal which described this feature for inclusion in the Python standard library. This is the original source for the logging package. The version of the package available from this site is suitable for use with Python 1.5.2, 2.1.x and 2.2.x, which do not include the logging package in the standard library.

   logging — Logging facility for Python — Python 3.12.5 documentation

   docs.python.org/3/library/logging.html

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10. www.machinelearningplus.com · python-logging-guidePython Logging – Simplest Guide with Full Code and Examples

    www.machinelearningplus.com · python-logging-guide

    

    The logging module lets you track events when your code runs so that when the code crashes you can check the logs and identify what caused it. Log messages have a built-in hierarchy – starting from debugging, informational, warnings, error and critical messages. You can include traceback information as well.