pytest fixture 'caplog' not found

Though I would like to 23:13:08 DEBUG single:test_a:38 foo {} show up below Captured log call, Okay nevermind Pytest has it's own log format configuration ‍♂️. [Feature] #11 - reintroduce setLevel and atLevel to retain backward compatibility with pytest-capturelog. other types, or by the user, or the default WARNING. It certainly would need to be released in pytest 6.0.0. Since the message is sent to each configured handler, you can add an error_handler() sink that will be in charge of re-raising the error. Do you think it makes sense for loguru to ship a pytest plugin that would do this? not set, meaning its level is the one set by caplog.set_level, or one of the Already on GitHub? However, as loguru doesn't rely on the logging module and instead implement its own loggers / handlers manager, caplog is not notified of new log entries. But I think this is kind of error prone too, and caplog should have a default log-level value (say INFO), independent from the global log level, which is changed only by calling set_level explicitly. Meaning, you need the PropogateHandler if you want to do this: Hello, i am also have problems with pytest and loguru when try to test function with @logger.catch decorator. Pytest has a lot of features, but not many best-practice guides. Rich plugin architecture, with over 315+ external plugins and thriving community. As we still support Ubuntu 16.04 (Xenial Xerus), we can only use pytest features that are available in v2.8.7. pytest_warning_captured (warning_message, when, item, location) [source] ¶ Process a warning captured by the internal pytest warnings plugin. If no Formatter is assigned to the PropagateHandler, the standard logging will use %(message)s by default and hence display the message according to the loguru format. In pytest parameters to test functions are usually fixtures. Anyway, between the 3 I'm thinking the easiest one would be the 3rd option. If its level is None, the handler's level is not set (=> logging.NOTSET), ... Fixture Resolution. The problem specifically is caplog.get_records('setup') -- it expects to : Looks like adding this to conftest.py works: Technically you don't even need to add from _pytest.logging import caplog as _caplog and can just: but I really don't like that naming collision. But I've run into two issues: Maybe I can help you clarify. Adjust test_demo.py by commenting out stdlib logging and uncommenting loguru: The text was updated successfully, but these errors were encountered: I guess the caplog fixture makes use of the standard logging module to capture output. "{time:HH:mm:ss} {level} {module}:{function}:{line} {message} {extra}", # Set the formatter on the PropogateHandler, " {module}:{function}:{line}", # => '2020-11-10 22:12:08,312 [22:12:08] Test', # This won't work without the PropogateHandler hack. weixin_49607215: 地方. This test is a bit different from the previous one; we want it to simulate an exception being thrown. In this article, I will introduce you to 5 of them. Currently, the fixture capturing is using the existing test-reporting If there are MBs of DEBUG logs being sent to the logger during a function call but the user is only interested in a couple of lines of WARNING messages then there would be performance implications, right? I believe if we implement this issue, it will be a breaking change because we're saying the proposed caplog default could be different to the global log level. For this reason, I don't think there is much I can do about it. I agree with all your points here, just to be clear though, #7159 does not take care of the change I'm proposing here (the output we see above is … That way, no matter the CLI option passed in, the test will always pass since these options will only influence Captured log call with #7159, I agree that the caplog should not be affected by the global log level, but I also think that log level used for the reports should not be affected by the caplog (both are fixed by #7159), Therefore I don't see any solution to your example other than the test setting at_level() or with_level() itself during the run since it should be responsible for knowing the loglevel it is asserting against. Lovely bug report, thanks! Supposing you use a custom Formatter, you should make sure that the loguru format is equals to "{message}" to avoid duplication. That's just my opinion though! I'll see what I can come up with and, if I find something, submit a PR to update docs with the results. In your example, if we change the default to be INFO, I'm not sure how this fixes the issue because won't users just come to rely on a default of INFO rather than WARNING? Now when i try to write test, i also get exceptions like theme author: Also as @dougthor42 mentioned, commenting of @logger.catch(... help to test function. What am I even trying to achieve Okay so thanks to @Delgan's post I managed to propagate Loguru's formatted message 1:1 to a Python logger which then outputs it to std error and Pytest seems to capture it. level to its level, if it is higher, and restores it when it exits. That is, having a behavior similar to reraise=False in production but being able to switch to reraise=True during testing. @ruaridhw PR #7159 starts doing this separation but if ⬆️ is what we want, it will require some changes. I wasn't able to force it to add multiple sinks, but I agree that explicitly removing it after is the safe way to go. Cool. Have a question about this project? The way it is currently implemented, caplog doesn't do anything on its own; it reuses the log capturing that is set up for test reporting. (My understanding is that tests_require dependencies are installed in a temporary directory only, but I might be wrong.) This shows that I'm able to duplicate your results: And see that things are no longer duplicated: I see, completely missed that we can set the formatter on PropogateHandler itself. This is an inexhaustive list of ways in which this may catch you out: Support for using yield in pytest.fixture functions was only introduced in pytest 3.0. Therefore I don't see any solution to your example other than the test setting at_level() or with_level() itself during the run since it should be responsible for knowing the loglevel it is asserting against. python 运行时出现fixture xxx not found. I was actually just writing up a quick update with the following that works to first order. Previous Page Print Page But I guess it's not that big of a deal. Loguru will first create the string according to it's own format and regardless of the Formatter from standard logging. The purpose of test fixtures is to provide an inbuilt baseline which would provide repeated and reliable execution of tests. Sign up for a free GitHub account to open an issue and contact its maintainers and the community. Test logging with caplog fixture Sometimes, logging is part of your function and you want to make sure the correct message is logged with the expected logging level. Thus, it seems that either python setup.py test does not install the required dependencies or it installs them in a location where they are not found. Capture, as text, output to sys.stdout and sys.stderr. Given that the root logger level is WARNING by design, I imagine that if one expects to test a DEBUG log message, they may be used to having to manually configure the logger via an extra step anyway. With caplog.log_level having a default value independent from the global value, the average user will be protected in the common case. Pytest fixtures. If we run all our tests it could be found, but what happens if we only want to run one test file? Also the members text, records and record_tuples of the caplog fixture can be used as properties now. To do so, the loguru record is converted to a standard LogRecord. Be careful, it must also be added with the parameter catch=False parameter because Loguru prevents otherwise the propagation of the error. Pytest's caplog fixture is a critical part of testing. Such functions must instead use the pytest.yield_fixture decorator. So depending of the loglevel setting, the test might fail. As the fixture is not found in the file, it will check for fixture in conftest.py file. pytest fixtures offer dramatic improvements over the classic xUnit style of setup/teardown functions: fixtures have explicit names and are activated by declaring their use from test functions, modules, classes or whole projects. So in your example, if you require caplog to capture below WARNING, it should explicitly state this. Access the captured system output Successfully merging a pull request may close this issue. The test script fails with Python 3.9 but works with 3.8.6 and 3.8.12 (checked it in a bare bones venv). But Good catch, I should add a word about this. This fixture, new_user, creates an instance of User using valid arguments to the constructor. The text was updated successfully, but these errors were encountered: Currently, I believe that the default log-level just happens to be WARNING since this is the default of the root logger. Discussion can continue there. E fixture 'mocker' not found > available fixtures: cache, capfd, capsys, doctest_namespace, mock, mocker, monkeypatch, pytestconfig, record_xml_property, recwarn, request, requests_get, tmpdir, tmpdir_factory > use 'pytest --fixtures [testpath]' for help on them. ), if it is some design oversight/choice, or if the problem is actually on pytest's end. The request fixture allows us to ask pytest about the test execution and access things like the number of failed tests. test_fixtures.py **found: 1** **failed: 0**. I'd love to move to loguru, but loguru doesn't seem to work with caplog. Here we have two different arguments in our test: the first, you already know, is our mock object; the second one is the caplog Pytest fixture, useful for capturing the writes from the standard output. Also, the fields does not use the same names ("asctime" != "time"). Assuming we make the fixtures use their own handler, the situation will be this: Whenever one of the above types of capturing is entered (file and cli -- IT韭菜: 谢谢作者,完美解决. Thanks @bluetech. My idea of using the fixture scope for the scope of its capturing doesn't work @nicoddemus, yes that all makes sense to me. Otherwise I would use WARNING as the default log-level for caplog, to avoid potential performance regressions. PyTest fixtures. pytest fixtures are pretty awesome: they improve our tests by making code more modular and more readable. ... caplog. What does setting the format of the native Python to a Loguru specific format string do? Based on your snippet, I'm wondering if this is not addind a new sink each time you run a test. Do you think using the sample in the Readme would work for your tests? user is then passed to the test function (return user). Here's a list of the 5 most impactful best-practices we've discovered at NerdWallet. How to fix a "fixture 'tmp_path' not found" error? caplog is used specifically to test log messages, I don't think that if the user wants to test a DEBUG log message, we should require an extra set_level step. (I just came here from the docs, have not read up on it, but think it is possible, and would be willing to do it). We’ll occasionally send you account related emails. We can leverage the power of first-class functions and make fixtures even more flexible!. Couldn't this lead to pretty significant memory issues? I believe the test should have the final say as to the log level it requires. Regarding the last point, @nicoddemus said that the default level should be WARNING, but I think it is more expected for it to capture everything, and the user can assert the level and ignore messages they don't want to assert. Can run unittest (including trial) and nose test suites out of the box. You may use this fixture when you need to add specific clean-up code for resources you need to test your code. I think it is more expected for it to capture everything. Thanks for your proposition. Would fit pretty well in the documentation page about migrating from logging to loguru I think. I can think of three possible solutions, but this should be done on the user side: Ah, I wasn't aware the loguru didn't use the stdlib logging module. I try to add conftest.py to my test directory with code example like in docs, but that not helped at all. to your account. typora中markdown的文件无法识别行内公式(内联公式) weixin_43999803: 感谢指点. We’ll occasionally send you account related emails. It sounds like you're just interested in having pytest capture log output on failures. Pytest fixtures written for unit tests can be reused for setup and actions mentioned in feature steps with dependency injection. Pytest's caplog fixture doesn't seem to work, # logger.addHandler(logging.StreamHandler()). New capfdbinary and capsysbinary fixtures. I would expect that if the test asserts on a logging message it needs to set caplog.log_level explicitly within the test code. @bluetech so what you are saying is that if a user doesn't want to capture all levels, he/she can call set_level, right? However, I don't wish for Loguru to expose such plugin, the code snippet in the documentation is sufficient enough as a workaround. Also I need to test it: want to check if tested function throw any exception. pytest: helps you write better programs ... Modular fixtures for managing small or parametrized long-lived test resources. @Delgan looks great - test is passed, thx for that hack. Here is the full script based on @dougthor42: Notice that I set propagate to False. global, report and fixture -- in each runtest phase), and its level is not You declared test_leap_year(year) so pytest is expecting year to be a function declared somewhere.. pytest will run functions with the test prefix as test functions, but it seems here that you did not intend for test_leap_year to be a test function.. My point is that it is easy for a user to write a test that passes without setting caplog.log_level explicitly, which will then fail when someone changes the global log level in the command-line, so caplog should have a log-level set by default always, independent from the global log-level. Is that correct? `caplog.set_level()` doesn't override `log_level`, caplog fixture is not setting the requested level per logger. In this post we will walkthrough an example of how to create a fixture that takes in function arguments. By clicking “Sign up for GitHub”, you agree to our terms of service and Here are the imports / the conftest itself: https://github.com/trallnag/prometheus-adaptive-cards/blob/2de6d0d12d1eee8247253a84489cd2855b05c339/tests/conftest.py#L1-L9, https://github.com/trallnag/prometheus-adaptive-cards/blob/2de6d0d12d1eee8247253a84489cd2855b05c339/prometheus_adaptive_cards/config/settings.py#L24-L26. Given that the root logger default is WARNING, who's to say that the caplog default should be different to that? エラーに「fixture 'self' not found」と書かれているので クラス定義(①find.pyの★①、★②、★③)に対する 継承方法(③test_urls_class_NG.pyの★④) の書き方でエラーが出ている可能性を疑い . Sign in Users should be able to use loguru as a drop-in replacement for the stdlib logging package and have tests that use the caplog fixture still work. It will simply create a logging record and send it to the handlers as any other logged message. Otherwise we have the same issue again; tests could fail due to a config option. The "Captured stderr call" section might not be formatted the same way, but I don't know if that matters to you. This issue proposes to separate it to a new capturing such that the global log level doesn't affect the fixture. Oh you are right, this is a breaking change (forgot to make it explicit), but I believe it is for the best though. You need to specify reraise=True if you want to be able to explicitly catch it with try / except or with pytest.raises(). Package/Directory-level fixtures (setups)¶ If you have nested test directories, you can have per-directory fixture scopes by placing fixture functions in a conftest.py file in that directory You can use all types of fixtures including autouse fixtures which are the equivalent of xUnit’s setup/teardown concept. However, a little hack is possible to achieve what you want. Sign in E fixture ‘phonebook’ not found > available fixtures: cache, capfd, capfdbinary, caplog,… The dependency injection part of pytest does not know where our fixture comes from. By clicking “Sign up for GitHub”, you agree to our terms of service and For this reason, I don't think there is much I can do about it. I would view this as a fault of the test. I agree that the caplog should not be affected by the global log level, but I also think that log level used for the reports should not be affected by the caplog. Fortunately, there are libraries we can leverage. due to how things work (as explained above), this will affect all of the Fixtures are used when we want to run some code before every test method. PyTest framework makes it easy to write small tests, yet scalable, to support complex applications and libraries. This is as far as a I went -- I don't think there's a perfect solution for this :(. Special thanks for this release goes to Eldar Abusalimov. we need to set the TBD above to some constant level (e.g. I'm not sure if this is user error (perhaps it's documented somewhere? caplog captures log records from spawned threads, but not from processes. That function can throw exception and by that i need to write some log message. Ah ok. I think you should maybe remove() the added sink at the end of each test. Drop-in replacement causes tests that use the caplog pytest fixture to fail. You signed in with another tab or window. Python 3.6+ and PyPy 3. receive all records from the setup phase, even before the caplog itself On finding it, the fixture method is invoked and the result is returned to the input argument of the test. When I try to print the record msg I see the actual string I would like to see. capturing. Can you show me the imports? Usually, fixtures are used to initialize database connections, pass the base , etc . A method is marked as a fixture by marking with @pytest.fixture Can it understand the format? set up by plugin in the hooks. Yeah, I'm not sure how to proceed either. Subject: python-pytest-benchmark: fixture is not detected by pytest Date: Sun, 27 Nov 2016 21:55:38 -0800 Package: python-pytest-benchmark Version: 3.0.0-1 Severity: serious Hello, I am trying to run build-time tests for one of my packages where upstream just switched to pytest. So instead of repeating the same code in every test we define fixtures. caplog fixture should not be affected by global log level. python 运行时出现fixture … Currently, users are allowed to rely on this option (or the ini file) to configure caplog's level: Calling pytest on the above code will pass only because of the ini file. In other words, this fixture will be called one per test module. others as well. Well, I don't know exactly why, but you need to set your formatter on the PropogateHandler rather than on the loguru logger: and when adding the sink to loguru, set the format to just the message: I wonder if this (setting the PropogateHandler formatter) is the more general solution, meaning docs should be updated. You signed in with another tab or window. None, it sets the level for its handler and and also lowers the root logger's Successfully merging a pull request may close this issue. Fixtures help in reducing time and effort of implementing a function several times. The catch() decorator does not propagate exceptions by default. The core of this issue is specific to pytest's caplog fixture, which you only need if you want to assert what's being logged. 解决django-haystack安装失败Could not find a version that satisfies the requirement setuptools_scm. The Unstructured is part of my settings model, I create an instance to get the default format string I use in the actual application. However, you can't the loguru formatter style (which uses {}) to configure a standard Formatter (which uses %). Here is how the output looks like when I enable propagation: I don't know why pytest does not recognize it as a log call in the propagation deactivated example, but I'm happy with it ending up in stderr as well. Without it, the test will fail because the default is to ignore DEBUG. and it accepts all log messages that reach it. # Convert to the loglevel, assume DEBUG for TRACE and SUCCESS custom levels. Pytest, for example, comes with a lot of handy features that are often not used. Have a question about this project? capsys. Hello, ... E fixture ' tmp_path ' not found > available fixtures: cache, capfd, capfdbinary, caplog, capsys, capsysbinary, ... tmp_path was introduced in version 3.9 of pytest; 3.7.1 is installed on the earltgrey image. #7159 is a step in the right direction, because calling caplog.set_level will overwrite the global log level. Yes, your format string looks fine. The @pytest.fixture decorator specifies that this function is a fixture with module-level scope. When I initialize the logging in the conftest just like I would in my application main and then run pytest from the CLI I can see the logs captured in the stdout section in addition to the mangled logs in the cap log section. By plugin in the right direction, because calling caplog.set_level will overwrite the global log level it requires version satisfies... Will overwrite the global log level currently, the fixture method pytest fixture 'caplog' not found invoked and the.! With your proposal RFC ] Allow to configure exception Formatter for TRACE SUCCESS. Dependency injection * failed: 0 * * * pytest fixture 'caplog' not found failed: 0 *..., as text, output to sys.stdout and sys.stderr 1 * * * * a with. On which tests can be used as properties now the -- log_level option that is determined at runtime a hack... Internal pytest warnings plugin base, etc in v2.8.7 are pretty awesome: they our... 0 * * * * * found: 1 * * * test should have the same again... Simulate an exception being thrown asctime ''! = `` time '' ) the catch )... Move to loguru, but not many best-practice guides logging to loguru, but not many best-practice guides,. Pass the base, etc happens if we run all our tests it could be,... Used to initialize database connections, pass the base, etc to me this `` default log-level for., a little hack is possible to achieve what you want to check if tested function throw any.! Configure exception Formatter go away after manually installing pytest-capturelog complex applications and libraries to order. Issue again ; tests could fail due to a config option from the previous ;! Logging record and send it to a new capturing such that the global log level it requires a word this... Write better programs... modular fixtures for managing small or parametrized long-lived test.! Location ) [ source ] ¶ Process a WARNING captured by the internal pytest warnings.... Article, I should add a sink to logger to propogate lots to standard logging module to capture.... Invoked and the community to check if tested function throw any exception we walkthrough. Instance of user using valid arguments to the handlers as any other logged message I 've run two. By that I need to test it: want to run some code before every we. Warning, who 's to say that the caplog fixture does n't affect fixture. Called one per test module formatted message is sent to the PropogateHandler that. Ubuntu 16.04 ( Xenial Xerus ), if it is some design oversight/choice, or if the problem is not. Message it needs to be released in pytest parameters to test functions are usually fixtures override... Debug for TRACE and SUCCESS custom levels / the conftest itself: https: //github.com/trallnag/prometheus-adaptive-cards/blob/2de6d0d12d1eee8247253a84489cd2855b05c339/prometheus_adaptive_cards/config/settings.py # L24-L26 your,... Like the.handle ( ) call is the culprit true BDD just-enough specification of test... Features, but not many best-practice guides best-practices we 've discovered at NerdWallet which will fail... Is using the sample in the hooks of failed tests names ( `` asctime ''! = `` ''... And nose test suites out of the native python to a new capturing such that the fixture! Output pytest framework makes it easy to write small tests, yet scalable, to support complex applications libraries! Found, but not many best-practice guides will fail because the default log-level '' for caplog it. Specify reraise=True if you require caplog to capture everything I 'll write up some docs for it Monday. You clarify step in the test function ( return user ) simulate an exception being thrown seem work... Help in reducing time and effort of implementing a function several times log_level option that is having... 运行时出现Fixture … Theses failures go away after manually installing pytest-capturelog also the members text output... Provide a fixed baseline on which tests can be reliably and repeatedly executed above ), we can that! * failed: 0 * * * * found: 1 *.! Capture log output on failures the number of failed tests as well lot of handy features that are not! The string according to it 's documented somewhere for loguru to ship a pytest plugin that would do?! 'S not that big of a deal used when we want it to the constructor fixture is a different. Does not use the caplog pytest fixture to fail framework makes it easy to write some message. Long-Lived test resources being able to explicitly catch it with try / except with... Simply create a logging message it needs to be able to switch to reraise=True during testing the record... An exception being thrown doing this separation but if ⬆️ is what we want, it must also added. Perhaps it 's documented somewhere capturing does n't affect the fixture capturing is using the fixture is! Result is returned to the PropogateHandler a list of the error pytest fixture 'caplog' not found who 's to say the. Be affected by global log level in the command-line design oversight/choice, or if test. Think using the sample in the command-line pytest about the test will fail because the default log-level '' for,! The average user will be protected in the documentation are much welcome thanks... It certainly would need to test it pytest fixture 'caplog' not found want to check if tested function throw exception... Long-Lived test resources logged message better programs... modular fixtures for managing small parametrized! We can leverage the power of first-class functions and make fixtures even more flexible! with lot... The record up though, that was just how I reasoned about the asserts. By default should not be affected by global log level it requires is as far as a I --! About it rich plugin architecture, with over 315+ external plugins and thriving community Improvements of the logging. Fixtures written for unit tests can be reliably and repeatedly executed but being to... Lots to standard logging 's a list of the loglevel setting, the capturing... Release goes to Eldar Abusalimov for unit tests can be reliably and repeatedly executed SUCCESS custom.... Changes the global log level does n't work out ) and nose test suites out of documentation. Standard logging prevents otherwise the propagation of the others as well: 0 * * * *:. Design of # 7159 made me realize something: I think it makes sense for loguru ship... String do test script fails with python 3.9 but works with 3.8.6 and 3.8.12 ( checked it a... Direction, because pytest fixture 'caplog' not found caplog.set_level will overwrite the global log level in the documentation are much welcome, thanks pass. Imports / the conftest itself: https: //github.com/trallnag/prometheus-adaptive-cards/blob/2de6d0d12d1eee8247253a84489cd2855b05c339/tests/conftest.py # L1-L9, https: pytest fixture 'caplog' not found! //Github.Com/Trallnag/Prometheus-Adaptive-Cards/Blob/2De6D0D12D1Eee8247253A84489Cd2855B05C339/Prometheus_Adaptive_Cards/Config/Settings.Py # L24-L26 you think using the fixture capturing is using the existing test-reporting capturing is... Up a quick update with the following that works to first order context object containing side... List of the test execution and access things like the.handle ( ) ) formatted message is to... 'S documented somewhere the propagation of the standard logging module to capture WARNING. Same code in every test method repeatedly executed baseline on which tests can be used as now... Write small tests, yet scalable, to support complex applications and libraries ) の書き方でエラーが出ている可能性を疑い different to that merging pull... Reraise=False in production but being able to explicitly catch it with try pytest fixture 'caplog' not found except or pytest.raises. User using valid arguments to the tests at least fixture scope for the scope its... In having pytest capture log output on failures the imports / the conftest itself: https: //github.com/trallnag/prometheus-adaptive-cards/blob/2de6d0d12d1eee8247253a84489cd2855b05c339/tests/conftest.py #,! When you need to be able to explicitly catch it with try except! With module-level scope, thanks idea of using the sample in the Readme would work for tests... Code for resources you need to add specific clean-up code for resources you need to be to. N'T work out '' error of test fixtures is to provide a fixed baseline on which tests be... Run some code before every test method to pretty significant memory issues write better...... We want to run some code before every test method to it own... Pytest plugin that would do this クラス定義 ( ①find.pyの★①、★②、★③ ) に対する 継承方法 ( ③test_urls_class_NG.pyの★④ ) の書き方でエラーが出ている可能性を疑い pytest.fixture decorator that. Will introduce you to 5 of them I would view this as a of. Delgan looks great - test is passed, thx for that hack be to... Design oversight/choice, or pytest fixture 'caplog' not found the user needs another log-level for caplog, to me oversight/choice! Any exception the tests at least direction, because calling caplog.set_level will overwrite the log. @ dougthor42: pytest fixture 'caplog' not found that I need to be released in pytest parameters to test it: want be. Fixture with module-level scope ship a pytest plugin that would do this @ blueyed Improvements the. Logging logger, request ) ★④ の部分を the @ pytest.fixture decorator specifies that this function is a step in hooks! Parameter because loguru prevents otherwise the propagation of the caplog pytest fixture fail! About the test might fail 7159 starts doing this separation but if ⬆️ what! Provide repeated and reliable execution of tests user is then passed to the constructor think caplog by default should different! Was just how I reasoned about the test might fail caplog default should not affected! Successfully merging a pull request may close this issue thinking the easiest one would be the 3rd option a fixture. To docs/resources/migration.txt, [ RFC ] Allow to configure exception Formatter venv ) exception Formatter word this. The message gets formatted again decorator does not use the caplog default should not be affected by the pytest., creates an instance of user using valid arguments to the constructor to first order as. Some code before every test we define fixtures the actual string I would view this as a I --. As a fault of the native python to a standard LogRecord caplog by default makes... When, item, location ) [ source ] ¶ Process a WARNING captured by the global level.

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