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guava-tests/test/com/google/common/io/testdata/alice_in_wonderland.txt
going to shrink any further: she felt a little nervous about this; `for it might end, you know,' said Alice to herself, `in my going out altogether, like a candle. I wonder what I should be like then?' And she tried to fancy what the flame of a candle is like after the candle is blown out, for she could not remember ever having seen such a thing. After a while, finding that nothing more happened, she decided
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docs/en/docs/async.md
## In a hurry? <abbr title="too long; didn't read"><strong>TL;DR:</strong></abbr> If you are using third party libraries that tell you to call them with `await`, like: ```Python results = await some_library() ``` Then, declare your *path operation functions* with `async def` like: ```Python hl_lines="2" @app.get('/') async def read_results(): results = await some_library() return results ``` !!! note
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docs/en/docs/how-to/sql-databases-peewee.md
Aso, when returning several objects, like in `get_users`, we directly call `list`, like in: ```Python list(models.User.select()) ```
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docs/en/docs/tutorial/request-files.md
* This means that it will work well for large files like images, videos, large binaries, etc. without consuming all the memory. * You can get metadata from the uploaded file. * It has a <a href="https://docs.python.org/3/glossary.html#term-file-like-object" class="external-link" target="_blank">file-like</a> `async` interface.
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docs/en/docs/tutorial/security/simple-oauth2.md
Password: `secret` <img src="/img/tutorial/security/image04.png"> After authenticating in the system, you will see it like: <img src="/img/tutorial/security/image05.png"> ### Get your own user data Now use the operation `GET` with the path `/users/me`. You will get your user's data, like: ```JSON { "username": "johndoe", "email": "******@****.***", "full_name": "John Doe",
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docs/en/docs/tutorial/extra-models.md
#### Unwrapping a `dict` and extra keywords And then adding the extra keyword argument `hashed_password=hashed_password`, like in: ```Python UserInDB(**user_in.dict(), hashed_password=hashed_password) ``` ...ends up being like: ```Python UserInDB( username = user_dict["username"], password = user_dict["password"], email = user_dict["email"],
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docs/en/docs/advanced/security/http-basic-auth.md
`secrets.compare_digest()` needs to take `bytes` or a `str` that only contains ASCII characters (the ones in English), this means it wouldn't work with characters like `á`, as in `Sebastián`. To handle that, we first convert the `username` and `password` to `bytes` encoding them with UTF-8.
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docs/en/docs/advanced/websockets.md
```console $ pip install websockets ---> 100% ``` </div> ## WebSockets client ### In production In your production system, you probably have a frontend created with a modern framework like React, Vue.js or Angular. And to communicate using WebSockets with your backend you would probably use your frontend's utilities.
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analysis/analysis-api-fir/src/org/jetbrains/kotlin/analysis/api/fir/components/KtFirSmartcastProvider.kt
if (parent is KtParenthesizedExpression) return false // expressions like `|foo.bar()|` or `|foo?.baz()|` are ignored if (this is KtQualifiedExpression && selectorExpression is KtCallExpression) return false // expressions like `foo.|bar|` or `foo?.|baz|` are ignored
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ci/official/README.md
# and will also try using public build cache results to speed up # your builds. This usually saves a lot of time, especially when # re-running tests. However, note that: # # - New environments like new CUDA versions, changes to manylinux, # compilers, etc. can cause undefined behavior such as build failures # or tests passing incorrectly. # - Automatic LLVM updates are known to extend build time even with
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