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def hello():
  print("Hello Cloud")

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import time
from locust import HttpUser, task, between

class QuickstartUser(HttpUser):
    wait_time = between(1, 5)

    @task
    def hello_world(self):
        self.client.get("/")
        self.client.get("/fruit")

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# Amazon Forecast Example

[source, python]
----
import boto3

forecast = boto3.client('forecast')
response = forecast.create_dataset_group(
    DatasetGroupName='forecast_dataset_group',
    Domain='CUSTOM',

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2022-12-10 20:25:31.078Z: docker: Error response from daemon: failed to create shim: OCI runtime create failed: runc create failed: unable to start container process: error during container init: error running hook #1: error running hook: exit status 1, stdout: , stderr: Auto-detected mode as 'legacy'
2022-12-10 20:25:31.078Z: nvidia-container-cli: mount error: file creation failed: /var/lib/docker/overlay2/a77bbe6b76ade0966f66dc9df640032701292b1b70546365b6457b9054c67457/merged/run/nvidia-persistenced/socket: no such device or address: unknown.
2022-12-10 20:25:31.078Z: Stop (743 ms): Run: docker run --sig-proxy=false -a STDOUT -a STDERR --mount type=bind,src=/var/lib/docker/codespacemount/workspace,dst=/workspaces --mount type=volume,src=minikube-config,dst=/home/vscode/.minikube --mount source=codespaces-linux-var-lib-docker,target=/var/lib/docker,type=volume --mount source=/root/.codespaces/shared,target=/workspaces/.codespaces/shared,type=bind --mount source=/var/lib/docker/codespacemount/.persistedshare,

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#!/bin/bash

set -e

# This script installs a pip package in compute instance azureml_py38 environment.

sudo -u azureuser -i <<'EOF'

PACKAGE=numpy
ENVIRONMENT=azureml_py38 

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FROM mcr.microsoft.com/azureml/openmpi4.1.0-cuda11.1-cudnn8-ubuntu18.04:20221010.v1

ENV AZUREML_CONDA_ENVIRONMENT_PATH /azureml-envs/pytorch-1.10
# Create conda environment
RUN conda create -p $AZUREML_CONDA_ENVIRONMENT_PATH \
    python=3.8 \
    pip=22.1.2 \
    pytorch=1.10.0 \
    torchvision=0.11.1 \
    torchaudio=0.10.0 \

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def lambda_handler(event, context):
    if event["name"] == "Marco":
        return {"name":"Polo"}
    return {"name":"No"}

aws lambda invoke \
 --cli-binary-format raw-in-base64-out \

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2022-10-13 18:26:47.494Z: Configuration starting...
2022-10-13 18:26:48.368Z: @microsoft/vscode-dev-containers-cli 0.71.0.
2022-10-13 18:26:48.396Z: Start: Resolving Remote
2022-10-13 18:26:48.396Z: $ docker ps -q -a --filter label=Type=codespaces
2022-10-13 18:26:48.424Z: Stop (37 ms): Run: docker ps -q -a --filter label=Type=codespaces
2022-10-13 18:26:48.424Z: $ /usr/bin/node /usr/lib/node_modules/@microsoft/vscode-dev-containers-cli/dist/spec-node/devContainersSpecCLI.js up --user-data-folder /var/lib/docker/codespacemount/.persistedshare --container-data-folder .vscode-remote/data/Machine --container-system-data-folder /var/vscode-remote --workspace-folder /var/lib/docker/codespacemount/workspace/mlops-template --id-label Type=codespaces --log-level info --log-format json --config /var/lib/docker/codespacemount/workspace/mlops-template/.devcontainer/devcontainer.json --override-config /root/.codespaces/shared/merged_devcontainer.json --default-user-env-probe loginInteractiveShell --remove-existing-contai

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USER root
RUN apt update \ 
    && apt install python3-pip -y     && apt install python3-venv -y     
USER coder

ENV VIRTUAL_ENV=/home/coder/venv
RUN python3 -m venv $VIRTUAL_ENV
ENV PATH="$VIRTUAL_ENV/bin:$PATH"
RUN pip install --no-cache-dir --upgrade pip \ 
    && pip install --no-cache-dir     black==22.3.0 click==8.1.3     pytest==7.1.3 \

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lynx -dump https://en.wikipedia.org/wiki/Albert_Einstein | wc \
 --bytes

The result shows:

432232