rem Check JVM server dll first
if exist "%JAVA_HOME%"\jre\bin\server\jvm.dll (
	set JVM_DLL=\jre\bin\server\jvm.dll
	goto foundJVM
)

rem Check 'server' JRE (JRE installed on Windows Server)
if exist "%JAVA_HOME%"\bin\server\jvm.dll (
	set JVM_DLL=\bin\server\jvm.dll
	goto foundJVM
)

rem Fallback to 'client' JRE
if exist "%JAVA_HOME%"\bin\client\jvm.dll (
	set JVM_DLL=\bin\client\jvm.dll

)

# The interface library (tensorflow.dll.if.lib) for linking tensorflow DLL library (tensorflow.dll) on Windows.
# To learn more about import library (called interface library in Bazel):
#     https://docs.microsoft.com/en-us/cpp/build/linking-an-executable-to-a-dll?view=vs-2017#linking-implicitly
filegroup(
    name = "get_tensorflow_dll_import_lib",
    srcs = ["//tensorflow:tensorflow.dll"],
    output_group = "interface_library",

Dengan menggunakannya di dalam editor, benar-benar memperlihatkan manfaat dari FastAPI, melihat bagaimana sedikitnya kode yang harus kamu tulis, semua pengecekan tipe, pelengkapan otomatis, dll.

---

## Install FastAPI

Langkah pertama adalah dengan meng-install FastAPI.

Untuk tutorial, kamu mungkin hendak meng-installnya dengan semua pilihan fitur dan dependensinya:

<div class="termy">

      <outputDirectory>lib/jline-native</outputDirectory>
      <includes>
        <include>**/*.so</include>
        <include>**/*.jnilib</include>
        <include>**/*.dll</include>
      </includes>
    </fileSet>
	<fileSet>
      <directory>src/assembly/maven/bin</directory>
      <outputDirectory>bin</outputDirectory>
      <includes>
        <include>mvn</include>

package disk

import (
	"errors"
	"fmt"
	"os"
	"syscall"
	"unsafe"

	"golang.org/x/sys/windows"
)

var (
	kernel32 = windows.NewLazySystemDLL("kernel32.dll")

	// GetDiskFreeSpaceEx - https://msdn.microsoft.com/en-us/library/windows/desktop/aa364937(v=vs.85).aspx
	// Retrieves information about the amount of space that is available on a disk volume,

package lock

import (
	"fmt"
	"os"
	"path/filepath"
	"syscall"
	"unsafe"

	"golang.org/x/sys/windows"
)

var (
	modkernel32    = windows.NewLazySystemDLL("kernel32.dll")
	procLockFileEx = modkernel32.NewProc("LockFileEx")
)

const (
	// https://msdn.microsoft.com/en-us/library/windows/desktop/aa365203(v=vs.85).aspx
	lockFileExclusiveLock   = 2
	lockFileFailImmediately = 1

		fmt.Fprint(writer, "skipping opening a browser")
		return
	}

	switch runtime.GOOS {
	case "linux":
		err = exec.Command("xdg-open", url).Start()
	case "windows":
		err = exec.Command("rundll32", "url.dll,FileProtocolHandler", url).Start()
	case "darwin":
		err = exec.Command("open", url).Start()
	default:
		fmt.Fprintf(writer, "Unsupported platform %q; open %s in your browser.\n", runtime.GOOS, url)
	}

build:macos --cxxopt=-std=c++17
build:macos --host_cxxopt=-std=c++17
build:windows --cxxopt=/std:c++17
build:windows --host_cxxopt=/std:c++17

# On windows, we still link everything into a single DLL.
build:windows --config=monolithic

# On linux, we dynamically link small amount of kernels
build:linux --config=dynamic_kernels

# Make sure to include as little of windows.h as possible

        flag. Refer to `configure.py` for more information about
        `EIGEN_STRONG_INLINE` and `/d2ReducedOptimizeHugeFunctions`.
    *   If either of the required DLLs, `msvcp140.dll` (old) or `msvcp140_1.dll`
        (new), are missing on your machine, `import tensorflow` will print a
        warning message.
*   The `tensorflow` pip package is built with CUDA 10.1 and cuDNN 7.6.
*   `tf.keras`

    <glob pattern="*.crd"/>
  </mime-type>
  <mime-type type="application/x-msclip">
    <glob pattern="*.clp"/>
  </mime-type>

  <mime-type type="application/x-msdownload">
    <glob pattern="*.dll"/>
    <glob pattern="*.com"/>
    <magic priority="50">
      <match value="MZ" type="string" offset="0"/>
    </magic>
  </mime-type>

  <mime-type type="application/x-ms-installer">