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docs/fr/docs/deployment/manually.md
Lorsqu'on se réfère à la machine distante, il est courant de l'appeler **serveur**, mais aussi **machine**, **VM** (machine virtuelle), **nœud**. Tout cela fait référence à un type de machine distante, exécutant Linux, en règle générale, sur laquelle vous exécutez des programmes. ## Installer le programme serveur Vous pouvez installer un serveur compatible ASGI avec : === "Uvicorn"
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android/guava/src/com/google/common/base/StandardSystemProperty.java
JAVA_HOME("java.home"), /** Java Virtual Machine specification version. */ JAVA_VM_SPECIFICATION_VERSION("java.vm.specification.version"), /** Java Virtual Machine specification vendor. */ JAVA_VM_SPECIFICATION_VENDOR("java.vm.specification.vendor"), /** Java Virtual Machine specification name. */ JAVA_VM_SPECIFICATION_NAME("java.vm.specification.name"), /** Java Virtual Machine implementation version. */
Java - Registered: Fri May 03 12:43:13 GMT 2024 - Last Modified: Thu Feb 23 15:09:35 GMT 2023 - 5K bytes - Viewed (0) -
guava/src/com/google/common/base/StandardSystemProperty.java
JAVA_HOME("java.home"), /** Java Virtual Machine specification version. */ JAVA_VM_SPECIFICATION_VERSION("java.vm.specification.version"), /** Java Virtual Machine specification vendor. */ JAVA_VM_SPECIFICATION_VENDOR("java.vm.specification.vendor"), /** Java Virtual Machine specification name. */ JAVA_VM_SPECIFICATION_NAME("java.vm.specification.name"), /** Java Virtual Machine implementation version. */
Java - Registered: Fri Apr 05 12:43:09 GMT 2024 - Last Modified: Thu Feb 23 15:09:35 GMT 2023 - 5K bytes - Viewed (0) -
docs/en/docs/deployment/manually.md
When referring to the remote machine, it's common to call it **server**, but also **machine**, **VM** (virtual machine), **node**. Those all refer to some type of remote machine, normally running Linux, where you run programs. ## Install the Server Program When you install FastAPI, it comes with a production server, Uvicorn, and you can start it with the `fastapi run` command. But you can also install an ASGI server manually: === "Uvicorn"
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ci/official/containers/linux_arm64/builder.devtoolset/gcc9-fixups.patch
+ __attribute__ ((__alloc_size__ params)) + #include <iostream> using namespace std; diff --git a/sysdeps/aarch64/dl-machine.h b/sysdeps/aarch64/dl-machine.h index 185402f..bbdeae0 100644 --- a/sysdeps/aarch64/dl-machine.h +++ b/sysdeps/aarch64/dl-machine.h @@ -49,23 +49,11 @@ elf_machine_load_address (void) /* To figure out the load address we use the definition that for any symbol:
Others - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Mon Sep 18 14:52:45 GMT 2023 - 8.9K bytes - Viewed (0) -
cmd/net.go
} } return host, port, nil } // isLocalHost - checks if the given parameter // correspond to one of the local IP of the // current machine func isLocalHost(host string, port string, localPort string) (bool, error) { hostIPs, err := getHostIP(host) if err != nil { return false, err } nonInterIPV4s := mustGetLocalIP4().Intersection(hostIPs)
Go - Registered: Sun May 05 19:28:20 GMT 2024 - Last Modified: Tue Mar 26 15:00:38 GMT 2024 - 9.3K bytes - Viewed (0) -
.github/ISSUE_TEMPLATE/feature_request.md
[ ] Extensions and Telemetry [ ] Security [ ] Test and Release [ ] User Experience [ ] Developer Infrastructure **Affected features (please put an X in all that apply)** [ ] Multi Cluster [ ] Virtual Machine [ ] Multi Control Plane
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docs/en/docs/advanced/events.md
## Use Case Let's start with an example **use case** and then see how to solve it with this. Let's imagine that you have some **machine learning models** that you want to use to handle requests. 🤖
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src/cmd/cgo/internal/test/callstub_linux_ppc64le.go
// extern int notoc_func(void); // int TestPPC64Stubs(void) { // return notoc_func(); // } import "C" import "testing" func testPPC64CallStubs(t *testing.T) { // Verify the trampolines run on the testing machine. If they // do not, or are missing, a crash is expected. if C.TestPPC64Stubs() != 0 { t.Skipf("This test requires binutils 2.35 or newer.") }
Go - Registered: Tue Apr 23 11:13:09 GMT 2024 - Last Modified: Fri Sep 22 15:06:17 GMT 2023 - 540 bytes - Viewed (0) -
docs/pt/docs/advanced/events.md
## Caso de uso Vamos iniciar com um exemplo de **caso de uso** e então ver como resolvê-lo com isso. Vamos imaginar que você tem alguns **modelos de _machine learning_** que deseja usar para lidar com as requisições. 🤖
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