pkg syscall (windows-386), const TH32CS_SNAPTHREAD ideal-int
pkg syscall (windows-386), func CreateToolhelp32Snapshot(uint32, uint32) (Handle, error)
pkg syscall (windows-386), func Process32First(Handle, *ProcessEntry32) error
pkg syscall (windows-386), func Process32Next(Handle, *ProcessEntry32) error
pkg syscall (windows-386), type ProcessEntry32 struct
pkg syscall (windows-386), type ProcessEntry32 struct, DefaultHeapID uintptr

```
Client #1596980209979 left the chat
```

/// tip

The app above is a minimal and simple example to demonstrate how to handle and broadcast messages to several WebSocket connections.

But keep in mind that, as everything is handled in memory, in a single list, it will only work while the process is running, and will only work with a single process.

  val proxies: MutableList<Proxy> = mutableListOf()

  fun addProxy(proxy: Proxy): FakeProxySelector {
    proxies.add(proxy)
    return this
  }

  override fun select(uri: URI): List<Proxy> {
    // Don't handle 'socket' schemes, which the RI's Socket class may request (for SOCKS).
    return if (uri.scheme == "http" || uri.scheme == "https") proxies else listOf(Proxy.NO_PROXY)
  }

  override fun connectFailed(
    uri: URI,

 * limitations under the License.
 */

package com.google.common.collect.testing;

import com.google.common.annotations.GwtCompatible;

/**
 * Simple derived class to verify that we handle generics correctly.
 *
 * @author Kevin Bourrillion
 */
@GwtCompatible
public class DerivedComparable extends BaseComparable {
  public DerivedComparable(String s) {
    super(s);
  }

    const TF_Operation* const* target_opers, int ntargets,
    // Output handle
    const char** handle,
    // Output status
    TF_Status*);

// Continue to run the graph with additional feeds and fetches. The
// execution state is uniquely identified by the handle.
TF_CAPI_EXPORT extern void TF_SessionPRun(
    TF_Session*, const char* handle,
    // Input tensors

    memcpy(buf, new_handle.c_str(), new_handle.size() + 1);
    *handle = buf;
  }
}

void TF_DeletePRunHandle(const char* handle) {
  delete[] handle;
  // TODO(suharshs): Free up any resources held by the partial run state.
}

void TF_SessionPRun(TF_Session* session, const char* handle,
                    const TF_Output* inputs, TF_Tensor* const* input_values,

# OpenAPI `docs`

Utilities to handle OpenAPI automatic UI documentation, including Swagger UI (by default at `/docs`) and ReDoc (by default at `/redoc`).

::: fastapi.openapi.docs.get_swagger_ui_html

::: fastapi.openapi.docs.get_redoc_html

::: fastapi.openapi.docs.get_swagger_ui_oauth2_redirect_html

                cb.query().matchAll();
                cb.query().addOrderBy_RequestedAt_Asc();
            }, new LogEntityRowHandler<SearchLog>() {
                @Override
                public void handle(final SearchLog entity) {
                    final StringBuilder buf = new StringBuilder();
                    buf.append('{');
                    appendJson("id", entity.getId(), buf).append(',');

  ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get());
  const std::vector<std::unique_ptr<ParallelTensor>>& handles = *outputs;
  std::vector<ParallelTensor*> handle_inputs;
  handle_inputs.reserve(handles.size());
  for (auto& handle : handles) {
    handle_inputs.push_back(handle.get());
  }
  std::unique_ptr<TFE_Op, decltype(&TFE_DeleteOp)> read_op(

## Create a task function

Create a function to be run as the background task.

It is just a standard function that can receive parameters.

It can be an `async def` or normal `def` function, **FastAPI** will know how to handle it correctly.

In this case, the task function will write to a file (simulating sending an email).

And as the write operation doesn't use `async` and `await`, we define the function with normal `def`: