msampathkumar

How to connect your Gemini CLI to CopilotKit docs MCP server?

Gemini CLI

$ cat .gemini/settings.json
{
  "mcpServers": {
    "copilotkit": {
 "command": "npx",

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Gen AI Labs: Duet AI for Developers - Warsaw

Self-Link: goo.gle/3VdXvgM

Description: An interactive hands-on session where you'll experiment with Duet AI and learn how it can transform your work.
Date: March 14, 2024 13:30–18:30 CET
Location: Google Warsaw. The Warsaw Hub, rondo Daszyńskiego 2c
Landing page: https://inthecloud.withgoogle.com/duet-ai-roadshow-warsaw/register.html

Roadshow Event - Links:

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People

:bowtie:	😄 :smile:	😆 :laughing:
😊 :blush:	😃 :smiley:	☺️ :relaxed:
😏 :smirk:	😍 :heart_eyes:	😘 :kissing_heart:
😚 :kissing_closed_eyes:	😳 :flushed:	😌 :relieved:
😆 :satisfied:	😁 :grin:	😉 :wink:
😜 :stuck_out_tongue_winking_eye:	😝 :stuck_out_tongue_closed_eyes:	😀 :grinning:
😗 :kissing:	😙 :kissing_smiling_eyes:	😛 :stuck_out_tongue:

msampathkumar

Semantic Commit Messages

See how a minor change to your commit message style can make you a better programmer.

Format: <type>(<scope>): <subject>

<scope> is optional

Example

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import base64
from cryptography.hazmat.primitives.asymmetric import ed25519
from cryptography.hazmat.primitives import serialization

private_key = ed25519.Ed25519PrivateKey.generate()
public_key = private_key.public_key()

private_key_str =  private_key.private_bytes(
    encoding=serialization.Encoding.Raw,
    format=serialization.PrivateFormat.Raw,

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 #
 # Copyright 201 Google Inc. All Rights Reserved.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
 # You may obtain a copy of the License at
 #
 #      http://www.apache.org/licenses/LICENSE-2.0
 #
 # Unless required by applicable law or agreed to in writing, software

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# Testing https://github.com/GoogleCloudPlatform/magic-modules/pull/5448/files


# Step by Step - Instructions

- Step1: Download files
   
   ```
wget https://github.com/GoogleCloudPlatform/magic-modules/raw/e8d547a02b95d7a1a650b52c5968404ee57a7b14/mmv1/products/compute/terraform.yaml
wget https://github.com/GoogleCloudPlatform/magic-modules/raw/e8d547a02b95d7a1a650b52c5968404ee57a7b14/mmv1/templates/terraform/examples/external_ssl_proxy_lb_mig_backend_custom_header.tf.erb

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Setup a Spark Context

spark = SparkSession.builder.appName('Magic').getOrCreate()

File IO

df = spark.read.format("csv").option("multiline", True).option("delimiter", ",").load(file_path)

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# Extracted using: $ unzip -p lib/pycharm.jar com/jetbrains/python/PyBundle.properties | grep -B1 INSP.NAME | grep '^#' | sed 's|Inspection||g' | sed -e 's|#\s\{,1\}|# noinspection |'

# noinspection PyPep8
# noinspection PyPep8Naming
# noinspection PyTypeChecker
# noinspection PyAbstractClass
# noinspection PyArgumentEqualDefault
# noinspection PyArgumentList
# noinspection PyAssignmentToLoopOrWithParameter
# noinspection PyAttributeOutsideInit

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import io
import pandas as pd


def split_s3_name(s3_path):
    bucket, key =  s3_path.strip('s3://').split('/', 1)
    return (bucket, key)


def read_from_s3(file_name):