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  1. okhttp/src/main/kotlin/okhttp3/internal/connection/RealConnection.kt

        lock.assertHeld()
    
        // If this connection is not accepting new exchanges, we're done.
        if (calls.size >= allocationLimit || noNewExchanges) return false
    
        // If the non-host fields of the address don't overlap, we're done.
        if (!this.route.address.equalsNonHost(address)) return false
    
        // If the host exactly matches, we're done: this connection can carry the address.
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  2. docs/en/docs/async.md

    In this scenario, each one of the cleaners (including you) would be a processor, doing their part of the job.
    
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    - Registered: Sun May 05 07:19:11 GMT 2024
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  3. docs/en/docs/advanced/settings.md

    !!! info
        In Pydantic version 1 the configuration was done in an internal class `Config`, in Pydantic version 2 it's done in an attribute `model_config`. This attribute takes a `dict`, and to get autocompletion and inline errors you can import and use `SettingsConfigDict` to define that `dict`.
    
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  4. architecture/ambient/ztunnel.md

        Client--Plain-->CZ
        CZ-."HBONE (target)".->Server
        CZ--"HBONE (actual)"-->SZ
        SZ--Plain-->Server
    ```
    
    ### Pooling
    
    User connections can be multiplexed over shared HBONE connections.
    This is done through standard HTTP/2 pooling.
    The pooling is keyed off the `{source identity, destination identity, destination ip}`.
    
    ### Headers
    
    Ztunnel uses the following well-known headers in HBONE:
    
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    - Last Modified: Thu Apr 25 22:35:16 GMT 2024
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  5. docs/en/docs/advanced/openapi-callbacks.md

    ## Documenting the callback
    
    The actual callback code will depend heavily on your own API app.
    
    And it will probably vary a lot from one app to the next.
    
    It could be just one or two lines of code, like:
    
    ```Python
    callback_url = "https://example.com/api/v1/invoices/events/"
    httpx.post(callback_url, json={"description": "Invoice paid", "paid": True})
    ```
    
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  6. docs/en/docs/advanced/custom-response.md

    ```
    
    1. This is the generator function. It's a "generator function" because it contains `yield` statements inside.
    2. By using a `with` block, we make sure that the file-like object is closed after the generator function is done. So, after it finishes sending the response.
    3. This `yield from` tells the function to iterate over that thing named `file_like`. And then, for each part iterated, yield that part as coming from this generator function.
    
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  7. docs/en/docs/alternatives.md

    It is designed to have functions that receive two parameters, one "request" and one "response". Then you "read" parts from the request, and "write" parts to the response. Because of this design, it is not possible to declare request parameters and bodies with standard Python type hints as function parameters.
    
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  8. okhttp/src/main/kotlin/okhttp3/internal/connection/RealConnectionPool.kt

        val toEvictIdleAtNs: Long
        when {
          // We had at least one OLD connection. Close the oldest one.
          earliestOldConnection != null -> {
            toEvict = earliestOldConnection
            toEvictIdleAtNs = earliestOldIdleAtNs
          }
    
          // We have too many EVICTABLE connections. Close the oldest one.
          evictableConnectionCount > maxIdleConnections -> {
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  9. Makefile.core.mk

    		for profile in manifests/helm-profiles/*.yaml ; do \
    			sed "1s|^|$${warning}\n\n|" $$profile > manifests/charts/$$chart/files/profile-$$(basename $$profile) ; \
    		done; \
    		cp manifests/zzz_profile.yaml manifests/charts/$$chart/templates ; \
    	done
    
    #-----------------------------------------------------------------------------
    # Target: go build
    #-----------------------------------------------------------------------------
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  10. CONTRIBUTING.md

    For any non-trivial change, we need to be able to answer these questions:
    
    * Why is this change done? What's the use case?
    * For user facing features, what will the API look like?
    * What test cases should it have? What could go wrong?
    * How will it roughly be implemented? We'll happily provide code pointers to save you time.
    
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