* The **file** that can be **executed** by the operating system, for example: `python`, `python.exe` or `uvicorn`.
* A particular program while it is **running** on the operating system, using the CPU, and storing things on memory. This is also called a **process**.

### What is a Process

The word **process** is normally used in a more specific way, only referring to the thing that is running in the operating system (like in the last point above):

    )
    val startNanos = System.nanoTime()
    val connection = server.url("/").toUrl().openConnection()
    connection.setDoOutput(true)
    connection.getOutputStream().write("ABCDEF".toByteArray(StandardCharsets.UTF_8))
    val inputStream = connection.getInputStream()
    assertThat(inputStream.read()).isEqualTo(-1)
    val elapsedNanos = System.nanoTime() - startNanos

    using a job called "copybara".

**5. Copy to Google Internal codebase and run internal CI**

-   Once the PR is in the Google codebase, we make sure it integrates well with
    its dependencies and the rest of the system.
-   Rarely, If the tests fail at this stage, we cannot merge the code.
-   If needed, we may come to you to make some changes. At times, it may not be
    you, it may be us who may have hit a snag. Please be patient while we work

      val headers = response.headers
      for ((name, value) in headers) {
        println("$name: $value")
      }
      println()
    }

    // Stream the response to the System.out as it is returned from the server.
    val out = System.out.sink()
    val source = response.body.source()
    while (!source.exhausted()) {
      out.write(source.buffer, source.buffer.size)
      out.flush()
    }

    Request request = chain.request();

    long t1 = System.nanoTime();
    logger.info(String.format("Sending request %s on %s%n%s",
        request.url(), chain.connection(), request.headers()));

    Response response = chain.proceed(request);

    long t2 = System.nanoTime();
    logger.info(String.format("Received response for %s in %.1fms%n%s",

And it will save the returned value in a <abbr title="A utility/system to store computed/generated values, to re-use them instead of computing them again.">"cache"</abbr> and pass it to all the "dependants" that need it in that specific request, instead of calling the dependency multiple times for the same request.

---
name: TensorFlow Lite Converter Issue
about: Use this template for reporting issues during model conversion to TFLite
labels: 'TFLiteConverter'

---

### 1. System information

- OS Platform and Distribution (e.g., Linux Ubuntu 16.04):
- TensorFlow installation (pip package or built from source):
- TensorFlow library (version, if pip package or github SHA, if built from source):

### 2. Code

* the data from the client to be sent through the network
* the data sent by your program to be received by the client through the network
* the contents of a file in the disk to be read by the system and given to your program
* the contents your program gave to the system to be written to disk
* a remote API operation
* a database operation to finish
* a database query to return the results
* etc.

# Install needed gcloud components
RUN Add-Type -AssemblyName "System.IO.Compression.FileSystem"; \
    $pkg_url = \"https://dl.google.com/dl/cloudsdk/channels/rapid/downloads/google-cloud-cli-396.0.0-windows-x86_64.zip\"; \
    $pkg_zip = \"c:/temp/gcloud.zip\"; \
    $pkg_extracted_path = \"c:/google-cloud-sdk\"; \
    (New-Object Net.WebClient).DownloadFile($pkg_url, $pkg_zip); \
    [System.IO.Compression.ZipFile]::ExtractToDirectory($pkg_zip, \"c:/\"); \

Da es sich stattdessen um ein „asynchrones“ System handelt, kann die Aufgabe nach Abschluss ein wenig (einige Mikrosekunden) in der Schlange warten, bis das System / Programm seine anderen Dinge erledigt hat und zurückkommt, um die Ergebnisse entgegenzunehmen und mit ihnen weiterzuarbeiten.