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RELEASE.md
`tf.quantization.dequantize`, `tf.quantization.fake_quant_with_min_max_args`, `tf.quantization.fake_quant_with_min_max_args_gradient`, `tf.quantization.fake_quant_with_min_max_vars`, `tf.quantization.fake_quant_with_min_max_vars_gradient`, `tf.quantization.fake_quant_with_min_max_vars_per_channel`, `tf.quantization.fake_quant_with_min_max_vars_per_channel_gradient`.
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docs/en/docs/advanced/index.md
Or it might be the case that you just prefer to take other courses because they adapt better to your learning style.
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CONTRIBUTING.md
checks if the PR looks good or needs additional changes. - If all looks good, the reviewer will approve the PR. - If a change is needed, the contributor is requested to make the suggested change. - You make the change and submit it for the review again. - This cycle repeats itself until the PR gets approved. - Note: As a friendly reminder, we may reach out to you if the PR is awaiting
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docs/en/docs/advanced/security/http-basic-auth.md
For this, use the Python standard module <a href="https://docs.python.org/3/library/secrets.html" class="external-link" target="_blank">`secrets`</a> to check the username and password. `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`.
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docs/en/docs/async.md
Instead of that, by being an "asynchronous" system, once finished, the task can wait in line a little bit (some microseconds) for the computer / program to finish whatever it went to do, and then come back to take the results and continue working with them.
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okhttp/src/test/java/okhttp3/internal/http2/HttpOverHttp2Test.kt
} } // Make the first request waiting until we get our auth challenge. val request = Request(server.url("/")) blockingAuthClient.newCall(request).enqueue(callback) val response1 = responses.take() assertThat(response1).isEqualTo("") assertThat(server.takeRequest().sequenceNumber).isEqualTo(0)
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docs/en/docs/tutorial/security/simple-oauth2.md
But as it's a common use case, it is provided by **FastAPI** directly, just to make it easier. ### Use the form data !!! tip
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okhttp-testing-support/src/main/kotlin/okhttp3/internal/concurrent/TaskFaker.kt
private var contextSwitchCount = 0 /** Guarded by [TaskRunner.lock]. */ private var activeThreads = 0 /** A task runner that posts tasks to this fake. Tasks won't be executed until requested. */ val taskRunner: TaskRunner = TaskRunner( object : TaskRunner.Backend { override fun execute( taskRunner: TaskRunner, runnable: Runnable,
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analysis/analysis-api-fir/src/org/jetbrains/kotlin/analysis/api/fir/components/KtFirDataFlowInfoProvider.kt
} return false } private class FirElementPathSearcher(statements: Collection<FirElement>) : FirDefaultVisitorVoid() { private companion object { val FORBIDDEN_FAKE_SOURCE_KINDS: Set<KtFakeSourceElementKind> = setOf( KtFakeSourceElementKind.WhenCondition, KtFakeSourceElementKind.SingleExpressionBlock ) }
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docs/en/docs/advanced/custom-response.md
For large responses, returning a `Response` directly is much faster than returning a dictionary. This is because by default, FastAPI will inspect every item inside and make sure it is serializable as JSON, using the same [JSON Compatible Encoder](../tutorial/encoder.md){.internal-link target=_blank} explained in the tutorial. This is what allows you to return **arbitrary objects**, for example database models.
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