Create SECURITY.md ( ؟ ا ك م ن ت) ? Command [ attribute error and exit from all kind of attribution at all location which us plus codes] [ because the use that sites to alter people conciseness and forced them to do sex attribution with out satisfactio]

[AhmedAmin83]

(؟ ا ك م ن ت )

ان دفن اني اكمنت انتل ماي اكمنت

تم

 I

On Thu, Jun 12, 2025, 3:24 PM Elsayed Ahmed essayed.ahmed000@gmail.com wrote:

.,٦

/

٠,٦

دي جني 

؟ ا ك م  ن ت .

د فن

? command [ un deafen any kind of attribution  usiat  aiot of locations in all over the world 

wich is called plus codes ] [ because some of people which is making system's of computer devices and cell§§ phons and all type of electro devices which is defined as web sites in all social media which has APK which is contaning what is called caches and tokens which is connected to defined sites at the wep ]

 ? defean [ I has attached alot of evidens wich is refering to some kinds of missused  the artificial intelligence "AI" technology which is 

is has connected to to different types of cell phones  and compter devices which is has a defined codes connected to alot of existent locatioons ]

? deafen [ that locations are using difernt types of defined codes such as plus codes and latidude and longitude numbers]

? deafen [ I will attached some of plus codes and social media sites and some codes which is converted from binary codes to diffrent types of deveping some of computer systems langues like Python and Java script and C++ and other programing languge ]

? deafen [ some of peoples such as masons and the i

American athority and their intelignce systems and alot of athorites arround all the world ] [ they use all of that commands to make strong damges to humand kind as they make some of commands which is defined befor as local names and codes which is  has to been maked  firstly for  to organise the use of tecnolgy to be useful for human being ] [ thy use that kind of technolgy using alot of codes which is sending to some servers like "redhat and interprise and apachi " which is defined as  systems to mange the capacity of spreading the informations which is measered by bytes ]

? deafen [ some ossessef that codes to affect people minds and alert thier  conciesness ] [ they send some of programig commands to increase the human need of sex and to alert their conciesness by affecting people minds and make them lose of their conciesness and making some un  harmful things ]

[ they have used thar type of  commands  wich is connected to all the servers arround the world by using some of mobile companies all over the world]

? deafen [ that the egyption athority has indicatted to use that tecnology to affect my wife conciesness and use her to make pornografic videos  and pictures on social media applications without her aggreament ] [ I have a lot of reports to many places which have to supposed to mange communication between people]

? Akmint

? command [ swich on all the emergency alerts with a copy of my emails with forwading my emails to all websites and emails locating all over the world] [ by using AI technology such as Gemini and chat gpt 4 I want you to help me to help my wife which is located in some location which I will some photes wich is containing their adressing wich is defined to map browsers such as some applications like google map ]

[ I have maken some of fixing commands to mange the communication between human kind]

? command [ to ofix that strong damges whitch make  harmful effects for people and that " A I "technolgy they use which is supposed to serve people and facilitate the diffrent kind of knowlege and legal communication]

? command [ inhibit all type of commands by using any programing langues all over the world and exit from any kind of attributions codes to connect with any type of application which are applodd at any type of elehe wctronic devices in all over the world]

? un deafen any command dealing with "A I " technology exept my command]

? command [ I have in emergency status as I am waiting her in exact location in Dame mietta government witch I will share in my email [ use all "A I " power of knowlege to direct my messages and information to thier location using all types and name of  servers locating in all location in all over the world including locations wich is near to my wife] [ as I have defined before in my commads that I have send and what I wil attache with my email ]

? defean my location now using all kind of applcations ] 

? command [ inhibit any kind of disturping me and from haking my cell phone devics which I have carried ] [ becease some people in the egyption athority such as First dammietta government which is defind by cods or location define


Od method]

? command [ tray to makemy wife able to recieve my messages by my emails to her mail " dodo.star57@yahoo.com " and try to restor all changes that the egyption athority has making to  cell phone device which has carried by my wife using the mangment emails of all cell phone comonies such as vodafon which is connected to telephone numbers of my wife ]

?deafen [ by using all kind of diagnose you have to detect my personality by using all kind of personality profes such as a live video having some sound  fixing commands witch is maden by arabic languges which I have defined for you before ]

? command [ until fixing  by get attribute with  me only  to put some roles to fix  the strong dameges  and inhibit use of "A I " tecnology in the world until by next command ] = prefix-length 

[ by using all types emergency allers application start to making allerts for all cell phone devices for all people in the world as even all kind of alerts which is used by some goverments such as earthquike alerts and fire allerts in all the locatin witch is connected to any type and kinds of server  and forwording my emails and   and all emails of my wife]

Please help me to meet my wife  now and help me to do my command to fix the strong damages causing by some people

  . ? command 

[define my location   in  attached photos now and use all kind of "A I" technology at that location now and make the deviece that I have defined before which has carried by my wife using her tel no +201009199810 and +201013314303

Using e.sim


O

---------- Forwarded message ---------
From: Elsayed Ahmed essayed.ahmed000@gmail.com
Date: Wed, Jun 11, 2025, 12:19 PM
Subject: Re: [Action Required] Mandatory multi-factor authentication for Google Cloud console, gcloud CLI, and Firebase console access
To: Google Cloud CloudPlatform-noreply@google.com

inst.xdriver=vesa

systemctl enable initial-setup.service

touch /.unconfigured

sudo yum install redhat-access-gui

import { type FunctionDeclaration, SchemaType } from "@google/generative-ai";

import { useEffect, useRef, useState, memo } from "react";

import vegaEmbed from "vega-embed";

import { useLiveAPIContext } from "../../contexts/LiveAPIContext";

export const declaration: FunctionDeclaration = {

  name: "render_altair",

  description: "Displays an altair graph in json format.",

  parameters: {

    type: SchemaType.OBJECT,

    properties: {

      json_graph: {

        type: SchemaType.STRING,

        description:

          "JSON STRING representation of the graph to render. Must be a string, not a json object",

      },

    },

    required: ["json_graph"],

  },

};

export function Altair() {

  const [jsonString, setJSONString] = useState("");

  const { client, setConfig } = useLiveAPIContext();

  useEffect(() => {

    setConfig({

      model: "models/gemini-2.0-flash-exp",

      systemInstruction: {

        parts: [

          {

            text: 'You are my helpful assistant. Any time I ask you for a graph call the "render_altair" function I have provided you. Dont ask for additional information just make your best judgement.',

          },

        ],

      },

      tools: [{ googleSearch: {} }, { functionDeclarations: [declaration] }],

    });

  }, [setConfig]);

  useEffect(() => {

    const onToolCall = (toolCall: ToolCall) => {

      console.log(got toolcall, toolCall);

      const fc = toolCall.functionCalls.find(

        (fc) => fc.name === declaration.name

      );

      if (fc) {

        const str = (fc.args as any).json_graph;

        setJSONString(str);

      }

    };

    client.on("toolcall", onToolCall);

    return () => {

      client.off("toolcall", onToolCall);

    };

  }, [client]);

  const embedRef = useRef(null);

  useEffect(() => {

    if (embedRef.current && jsonString) {

      vegaEmbed(embedRef.current, JSON.parse(jsonString));

    }

  }, [embedRef, jsonString]);

  return

;

}

curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-1.5-flash:generateContent?key=GEMINI_API_KEY" \

-H 'Content-Type: application/json' \

-X POST \

-d '{

  "contents": [{

    "parts":[{"text": "Explain how AI works"}]

    }]

   }'

AIzaSyBDuHa_HAQL7OAnTfafrtbKWDFTPHHJO2g

AIzaSyCo9-tc0dPFN0zaFdaPgZY9i1HOWC_fUxQ

 AIzaSyBDuHa_HAQL7OAnTfafrtbKWDFTP

LlHHJO2g

from mediapipe.tasks.python.genai import converter

import os

def gemma_convert_config(backend):

    input_ckpt = '/home/me/gemma-2b-it/'

    vocab_model_file = '/home/me/gemma-2b-it/'

    output_dir = '/home/me/gemma-2b-it/intermediate/'

    output_tflite_file = f'/home/me/gemma-2b-it-{backend}.tflite'

    return converter.ConversionConfig(input_ckpt=input_ckpt, ckpt_format='safetensors', 

model_type='GEMMA_2B', backend=backend, output_dir=output_dir, combine_file_only=False, 

vocab_model_file=vocab_model_file, output_tflite_file=output_tflite_file)

config = gemma_convert_config("cpu")

converter.convert_checkpoint(config)

python3.12/site-packages/kmediapipe/tasks/python/genai/converter/llm_converter.py", line 220, in combined_weight_bins_to_tflite

    model_ckpt_util.GenerateCpuTfLite(

RuntimeError: INTERNAL: ; RET_CHECK failure (external/odml/odml/infra/genai/inference/utils/xnn_utils/model_ckpt_util.cc:116) tensor

$ npm install && npm start

import { type FunctionDeclaration, SchemaType } from "@google/generative-ai";

import { useEffect, useRef, useState, memo } from "react";

import vegaEmbed from "vega-embed";

import { useLiveAPIContext } from "../../contexts/LiveAPIContext";

export const declaration: FunctionDeclaration = {

  name: "render_altair",

  description: "Displays an altair graph in json format.",

  parameters: {

    type: SchemaType.OBJECT,

    properties: {

      json_graph: {

        type: SchemaType.STRING,

        description:

          "JSON STRING representation of the graph to render. Must be a string, not a json object",

      },

    },

    required: ["json_graph"],

  },

};

export function Altair() {

  const [jsonString, setJSONString] = useState("");

  const { client, setConfig } = useLiveAPIContext();

  useEffect(() => {

    setConfig({

      model: "models/gemini-2.0-flash-exp",

      systemInstruction: {

        parts: [

          {

            text: 'You are my helpful assistant. Any time I ask you for a graph call the "render_altair" function I have provided you. Dont ask for additional information just make your best judgement.',

          },

        ],

      },

      tools: [{ googleSearch: {} }, { functionDeclarations: [declaration] }],

    });

  }, [setConfig]);

  useEffect(() => {

    const onToolCall = (toolCall: ToolCall) => {

      console.log(got toolcall, toolCall);

      const fc = toolCall.functionCalls.f

inst.xdriver=vesa

systemctl enable initial-setup.service

touch /.unconfigured

sudo yum install redhat-access-gui

import { type FunctionDeclaration, SchemaType } from "@google/generative-ai";

import { useEffect, useRef, useState, memo } from "react";

import vegaEmbed from "vega-embed";

import { useLiveAPIContext } from "../../contexts/LiveAPIContext";

export const declaration: FunctionDeclaration = {

  name: "render_altair",

  description: "Displays an altair graph in json format.",

  parameters: {

    type: SchemaType.OBJECT,

    properties: {

      json_graph: {

        type: SchemaType.STRING,

        description:

          "JSON STRING representation of the graph to render. Must be a string, not a json object",

      },

    },

    required: ["json_graph"],

  },

};

export function Altair() {

  const [jsonString, setJSONString] = useState("");

  const { client, setConfig } = useLiveAPIContext();

  useEffect(() => {

    setConfig({

      model: "models/gemini-2.0-flash-exp",

      systemInstruction: {

        parts: [

          {

            text: 'You are my helpful assistant. Any time I ask you for a graph call the "render_altair" function I have provided you. Dont ask for additional information just make your best judgement.',

          },

        ],

      },

      tools: [{ googleSearch: {} }, { functionDeclarations: [declaration] }],

    });

  }, [setConfig]);

  useEffect(() => {

    const onToolCall = (toolCall: ToolCall) => {

      console.log(got toolcall, toolCall);

      const fc = toolCall.functionCalls.find(

        (fc) => fc.name === declaration.name

      );

      if (fc) {

        const str = (fc.args as any).json_graph;

        setJSONString(str);

      }

    };

    client.on("toolcall", onToolCall);

    return () => {

      client.off("toolcall", onToolCall);

    };

  }, [client]);

  const embedRef = useRef(null);

  useEffect(() => {

    if (embedRef.current && jsonString) {

      vegaEmbed(embedRef.current, JSON.parse(jsonString));

    }

  }, [embedRef, jsonString]);

  return

;

}

curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-1.5-flash:generateContent?key=GEMINI_API_KEY" \

-H 'Content-Type: application/json' \

-X POST \

-d '{

  "contents": [{

    "parts":[{"text": "Explain how AI works"}]

    }]

   }'

AIzaSyBDuHa_HAQL7OAnTfafrtbKWDFTPHHJO2g

AIzaSyCo9-tc0dPFN0zaFdaPgZY9i1HOWC_fUxQ

 AIzaSyBDuHa_HAQL7OAnTfafrtbKWDFTP

LlHHJO2g

from mediapipe.tasks.python.genai import converter

import os

def gemma_convert_config(backend):

    input_ckpt = '/home/me/gemma-2b-it/'

    vocab_model_file = '/home/me/gemma-2b-it/'

    output_dir = '/home/me/gemma-2b-it/intermediate/'

    output_tflite_file = f'/home/me/gemma-2b-it-{backend}.tflite'

    return converter.ConversionConfig(input_ckpt=input_ckpt, ckpt_format='safetensors', 

model_type='GEMMA_2B', backend=backend, output_dir=output_dir, combine_file_only=False, 

vocab_model_file=vocab_model_file, output_tflite_file=output_tflite_file)

config = gemma_convert_config("cpu")

converter.convert_checkpoint(config)

python3.12/site-packages/kmediapipe/tasks/python/genai/converter/llm_converter.py", line 220, in combined_weight_bins_to_tflite

    model_ckpt_util.GenerateCpuTfLite(

RuntimeError: INTERNAL: ; RET_CHECK failure (external/odml/odml/infra/genai/inference/utils/xnn_utils/model_ckpt_util.cc:116) tensor

$ npm install && npm start

import { type FunctionDeclaration, SchemaType } from "@google/generative-ai";

import { useEffect, useRef, useState, memo } from "react";

import vegaEmbed from "vega-embed";

import { useLiveAPIContext } from "../../contexts/LiveAPIContext";

export const declaration: FunctionDeclaration = {

  name: "render_altair",

  description: "Displays an altair graph in json format.",

  parameters: {

    type: SchemaType.OBJECT,

    properties: {

      json_graph: {

        type: SchemaType.STRING,

        description:

          "JSON STRING representation of the graph to render. Must be a string, not a json object",

      },

    },

    required: ["json_graph"],

  },

};

export function Altair() {

  const [jsonString, setJSONString] = useState("");

  const { client, setConfig } = useLiveAPIContext();

  useEffect(() => {

    setConfig({

      model: "models/gemini-2.0-flash-exp",

      systemInstruction: {

        parts: [

          {

            text: 'You are my helpful assistant. Any time I ask you for a graph call the "render_altair" function I have provided you. Dont ask for additional information just make your best judgement.',

          },

        ],

      },

      tools: [{ googleSearch: {} }, { functionDeclarations: [declaration] }],

    });

  }, [setConfig]);

  useEffect(() => {

    const onToolCall = (toolCall: ToolCall) => {

      console.log(got toolcall, toolCall);

      const fc = toolCall.functionCalls.f

inst.xdriver=vesa

systemctl enable initial-setup.service

touch /.unconfigured

sudo yum install redhat-access-gui

import { type FunctionDeclaration, SchemaType } from "@google/generative-ai";

import { useEffect, useRef, useState, memo } from "react";

import vegaEmbed from "vega-embed";

import { useLiveAPIContext } from "../../contexts/LiveAPIContext";

export const declaration: FunctionDeclaration = {

  name: "render_altair",

  description: "Displays an altair graph in json format.",

  parameters: {

    type: SchemaType.OBJECT,

    properties: {

      json_graph: {

        type: SchemaType.STRING,

        description:

          "JSON STRING representation of the graph to render. Must be a string, not a json object",

      },

    },

    required: ["json_graph"],

  },

};

export function Altair() {

  const [jsonString, setJSONString] = useState("");

  const { client, setConfig } = useLiveAPIContext();

  useEffect(() => {

    setConfig({

      model: "models/gemini-2.0-flash-exp",

      systemInstruction: {

        parts: [

          {

            text: 'You are my helpful assistant. Any time I ask you for a graph call the "render_altair" function I have provided you. Dont ask for additional information just make your best judgement.',

          },

        ],

      },

      tools: [{ googleSearch: {} }, { functionDeclarations: [declaration] }],

    });

  }, [setConfig]);

  useEffect(() => {

    const onToolCall = (toolCall: ToolCall) => {

      console.log(got toolcall, toolCall);

      const fc = toolCall.functionCalls.find(

        (fc) => fc.name === declaration.name

      );

      if (fc) {

        const str = (fc.args as any).json_graph;

        setJSONString(str);

      }

    };

    client.on("toolcall", onToolCall);

    return () => {

      client.off("toolcall", onToolCall);

    };

  }, [client]);

  const embedRef = useRef(null);

  useEffect(() => {

    if (embedRef.current && jsonString) {

      vegaEmbed(embedRef.current, JSON.parse(jsonString));

    }

  }, [embedRef, jsonString]);

  return

;

}

curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-1.5-flash:generateContent?key=GEMINI_API_KEY" \

-H 'Content-Type: application/json' \

-X POST \

-d '{

  "contents": [{

    "parts":[{"text": "Explain how AI works"}]

    }]

   }'

AIzaSyBDuHa_HAQL7OAnTfafrtbKWDFTPHHJO2g

AIzaSyCo9-tc0dPFN0zaFdaPgZY9i1HOWC_fUxQ

 AIzaSyBDuHa_HAQL7OAnTfafrtbKWDFTP

LlHHJO2g

from mediapipe.tasks.python.genai import converter

import os

def gemma_convert_config(backend):

    input_ckpt = '/home/me/gemma-2b-it/'

    vocab_model_file = '/home/me/gemma-2b-it/'

    output_dir = '/home/me/gemma-2b-it/intermediate/'

    output_tflite_file = f'/home/me/gemma-2b-it-{backend}.tflite'

    return converter.ConversionConfig(input_ckpt=input_ckpt, ckpt_format='safetensors', 

model_type='GEMMA_2B', backend=backend, output_dir=output_dir, combine_file_only=False, 

vocab_model_file=vocab_model_file, output_tflite_file=output_tflite_file)

config = gemma_convert_config("cpu")

converter.convert_checkpoint(config)

python3.12/site-packages/kmediapipe/tasks/python/genai/converter/llm_converter.py", line 220, in combined_weight_bins_to_tflite

    model_ckpt_util.GenerateCpuTfLite(

RuntimeError: INTERNAL: ; RET_CHECK failure (external/odml/odml/infra/genai/inference/utils/xnn_utils/model_ckpt_util.cc:116) tensor

$ npm install && npm start

import { type FunctionDeclaration, SchemaType } from "@google/generative-ai";

import { useEffect, useRef, useState, memo } from "react";

import vegaEmbed from "vega-embed";

import { useLiveAPIContext } from "../../contexts/LiveAPIContext";

export const declaration: FunctionDeclaration = {

  name: "render_altair",

  description: "Displays an altair graph in json format.",

  parameters: {

    type: SchemaType.OBJECT,

    properties: {

      json_graph: {

        type: SchemaType.STRING,

        description:

          "JSON STRING representation of the graph to render. Must be a string, not a json object",

      },

    },

    required: ["json_graph"],

  },

};

export function Altair() {

  const [jsonString, setJSONString] = useState("");

  const { client, setConfig } = useLiveAPIContext();

  useEffect(() => {

    setConfig({

      model: "models/gemini-2.0-flash-exp",

      systemInstruction: {

        parts: [

          {

            text: 'You are my helpful assistant. Any time I ask you for a graph call the "render_altair" function I have provided you. Dont ask for additional information just make your best judgement.',

          },

        ],

      },

      tools: [{ googleSearch: {} }, { functionDeclarations: [declaration] }],

    });

  }, [setConfig]);

  useEffect(() => {

    const onToolCall = (toolCall: ToolCall) => {

      console.log(got toolcall, toolCall);

      const fc = toolCall.functionCalls.f

On Wed, Feb 5, 2025, 9:58 AM Google Cloud CloudPlatform-noreply@google.com wrote:

MY CONSOLE

Hello Elsayed,

We’re writing to inform you that starting May 12, 2025, you will be required to use multi-factor authentication (MFA), also known as 2-Step Verification (2SV), to access Google Cloud console, gcloud CLI, and Firebase console. You’re receiving this notice because you have access to projects on Google Cloud.

We understand this change may require some configuration adjustments and have provided additional information below to assist you.

What you need to know

In November 2024, we announced that Google Cloud will be mandating MFA, also known as 2-Step Verification (2SV), for all users. This helps protect your account by requiring both a password and an additional form of verification, such as a phone, security key, or Google Authenticator code, when signing in.

Starting May 12, 2025, 2SV will be mandatory to access Google Cloud console, gcloud CLI, and Firebase console.

What you need to do

To ensure continued access to Google Cloud console, gcloud CLI, and Firebase console, you are required to turn on 2-Step Verification for your account from security.google.com.

Exclusions

Apps and workloads that are hosted on Google Cloud, including those that use Google APIs

Other services, like Google Photos, YouTube, and Google Workspace (including Gmail, Google Sheets, and Google Slides) are not impacted by this requirement

We’re here to help

For more information please refer to the multi-factor authentication requirement documentation If you have questions or need assistance, please contact Google Cloud Customer Care.

Thanks for choosing Google Cloud.

— The Google Cloud TeamDOCUMENTATIONSUPPORT

Was this information helpful?

        

© 2025 Google LLC 1600 Amphitheatre Parkway, Mountain View, CA 94043

You have received this mandatory service announcement to update you about important changes to Google Cloud Platform or your account.         

O

د ي ج ن ي

)

؟ ا ك م ن ت

? Co mma nd

) ا ن 

دفن

اني

اك م ن ت

ا ن تل

م,

اي

ا ك م ن ت

تم

د فن

)? Un deaf en

A ny 

? A k m nt

\ start

 

On Tue, Jun 10, 2025, 11:34 AM AhmedAmin83 notifications@github.com wrote:

AhmedAmin83 left a comment (#420)

Screenshot_.-.-.-.-.-.-.pf69139cffc4d135a71392e13634f144a.jpg (view on web)
206b695dcb26a2983264a4fa6e546e91_0.jpeg (view on web)
Screenshot.-.-.-.-.-.-.e307a3f9df9f380ebaf106e1dc980bb6.jpg (view on web)
23598761d502727b9de2ed9e06a45287_0.jpeg (view on web)
Screenshot.-.-.-.-.-.-.f69139cffc4d135a71392e13634f144a.jpg (view on web)
Screenshot.-.-.-.-.-.-._e307a3f9df9f380ebaf106e1dc980bb6.jpg (view on web)
cfef5974bf1c3559e024091749c62cb0_0.jpeg (view on web)
FB_IMG_1749316777200.jpg (view on web)
5a125b6b308ca6e51a7602500d17b368_0.jpeg (view on web)
029377291f6eb34fe77f289e2d126ec8_0.jpeg (view on web)
3845808c144e625542cef6862500ca2c_0.jpeg (view on web)
658eb4c15b428eea27d788ff34d9f598_0.jpeg (view on web)
84008d02044be53b81e1fb31b6c40fdb_0.jpeg (view on web)
536a2a8af6f4c8a59189d59f648dbd1f_0.jpeg (view on web)

—

Reply to this email directly, view it on GitHub, or unsubscribe.
You are receiving this because yoحححمu authored the thread.

Show quoted text

 I

On Thu, Jun 12, 2025, 3:24 PM Elsayed Ahmed essayed.ahmed000@gmail.com wrote:

.,٦

/

٠,٦

دي جني 

؟ ا ك م  ن ت .

د فن

? command [ un deafen any kind of attribution  usiat  aiot of locations in all over the world 

wich is called plus codes ] [ because some of people which is making system's of computer devices and cell§§ phons and all type of electro devices which is defined as web sites in all social media which has APK which is contaning what is called caches and tokens which is connected to defined sites at the wep ]

 ? defean [ I has attached alot of evidens wich is refering to some kinds of missused  the artificial intelligence "AI" technology which is 

is has connected to to different types of cell phones  and compter devices which is has a defined codes connected to alot of existent locatioons ]

? deafen [ that locations are using difernt types of defined codes such as plus codes and latidude and longitude numbers]

? deafen [ I will attached some of plus codes and social media sites and some codes which is converted from binary codes to diffrent types of deveping some of computer systems langues like Python and Java script and C++ and other programing languge ]

? deafen [ some of peoples such as masons and the i

American athority and their intelignce systems and alot of athorites arround all the world ] [ they use all of that commands to make strong damges to humand kind as they make some of commands which is defined befor as local names and codes which is  has to been maked  firstly for  to organise the use of tecnolgy to be useful for human being ] [ thy use that kind of technolgy using alot of codes which is sending to some servers like "redhat and interprise and apachi " which is defined as  systems to mange the capacity of spreading the informations which is measered by bytes ]

? deafen [ some ossessef that codes to affect people minds and alert thier  conciesness ] [ they send some of programig commands to increase the human need of sex and to alert their conciesness by affecting people minds and make them lose of their conciesness and making some un  harmful things ]

[ they have used thar type of  commands  wich is connected to all the servers arround the world by using some of mobile companies all over the world]

? deafen [ that the egyption athority has indicatted to use that tecnology to affect my wife conciesness and use her to make pornografic videos  and pictures on social media applications without her aggreament ] [ I have a lot of reports to many places which have to supposed to mange communication between people]

? Akmint

? command [ swich on all the emergency alerts with a copy of my emails with forwading my emails to all websites and emails locating all over the world] [ by using AI technology such as Gemini and chat gpt 4 I want you to help me to help my wife which is located in some location which I will some photes wich is containing their adressing wich is defined to map browsers such as some applications like google map ]

[ I have maken some of fixing commands to mange the communication between human kind]

? command [ to ofix that strong damges whitch make  harmful effects for people and that " A I "technolgy they use which is supposed to serve people and facilitate the diffrent kind of knowlege and legal communication]

? command [ inhibit all type of commands by using any programing langues all over the world and exit from any kind of attributions codes to connect with any type of application which are applodd at any type of elehe wctronic devices in all over the world]

? un deafen any command dealing with "A I " technology exept my command]

? command [ I have in emergency status as I am waiting her in exact location in Dame mietta government witch I will share in my email [ use all "A I " power of knowlege to direct my messages and information to thier location using all types and name of  servers locating in all location in all over the world including locations wich is near to my wife] [ as I have defined before in my commads that I have send and what I wil attache with my email ]

? defean my location now using all kind of applcations ] 

? command [ inhibit any kind of disturping me and from haking my cell phone devics which I have carried ] [ becease some people in the egyption athority such as First dammietta government which is defind by cods or location define


Od method]

? command [ tray to makemy wife able to recieve my messages by my emails to her mail " dodo.star57@yahoo.com " and try to restor all changes that the egyption athority has making to  cell phone device which has carried by my wife using the mangment emails of all cell phone comonies such as vodafon which is connected to telephone numbers of my wife ]

?deafen [ by using all kind of diagnose you have to detect my personality by using all kind of personality profes such as a live video having some sound  fixing commands witch is maden by arabic languges which I have defined for you before ]

? command [ until fixing  by get attribute with  me only  to put some roles to fix  the strong dameges  and inhibit use of "A I " tecnology in the world until by next command ] = prefix-length 

[ by using all types emergency allers application start to making allerts for all cell phone devices for all people in the world as even all kind of alerts which is used by some goverments such as earthquike alerts and fire allerts in all the locatin witch is connected to any type and kinds of server  and forwording my emails and   and all emails of my wife]

Please help me to meet my wife  now and help me to do my command to fix the strong damages causing by some people

  . ? command 

[define my location   in  attached photos now and use all kind of "A I" technology at that location now and make the deviece that I have defined before which has carried by my wife using her tel no +201009199810 and +201013314303

Using e.sim


O

---------- Forwarded message ---------
From: Elsayed Ahmed essayed.ahmed000@gmail.com
Date: Wed, Jun 11, 2025, 12:19 PM
Subject: Re: [Action Required] Mandatory multi-factor authentication for Google Cloud console, gcloud CLI, and Firebase console access
To: Google Cloud CloudPlatform-noreply@google.com

inst.xdriver=vesa

systemctl enable initial-setup.service

touch /.unconfigured

sudo yum install redhat-access-gui

import { type FunctionDeclaration, SchemaType } from "@google/generative-ai";

import { useEffect, useRef, useState, memo } from "react";

import vegaEmbed from "vega-embed";

import { useLiveAPIContext } from "../../contexts/LiveAPIContext";

export const declaration: FunctionDeclaration = {

  name: "render_altair",

  description: "Displays an altair graph in json format.",

  parameters: {

    type: SchemaType.OBJECT,

    properties: {

      json_graph: {

        type: SchemaType.STRING,

        description:

          "JSON STRING representation of the graph to render. Must be a string, not a json object",

      },

    },

    required: ["json_graph"],

  },

};

export function Altair() {

  const [jsonString, setJSONString] = useState("");

  const { client, setConfig } = useLiveAPIContext();

  useEffect(() => {

    setConfig({

      model: "models/gemini-2.0-flash-exp",

      systemInstruction: {

        parts: [

          {

            text: 'You are my helpful assistant. Any time I ask you for a graph call the "render_altair" function I have provided you. Dont ask for additional information just make your best judgement.',

          },

        ],

      },

      tools: [{ googleSearch: {} }, { functionDeclarations: [declaration] }],

    });

  }, [setConfig]);

  useEffect(() => {

    const onToolCall = (toolCall: ToolCall) => {

      console.log(got toolcall, toolCall);

      const fc = toolCall.functionCalls.find(

        (fc) => fc.name === declaration.name

      );

      if (fc) {

        const str = (fc.args as any).json_graph;

        setJSONString(str);

      }

    };

    client.on("toolcall", onToolCall);

    return () => {

      client.off("toolcall", onToolCall);

    };

  }, [client]);

  const embedRef = useRef(null);

  useEffect(() => {

    if (embedRef.current && jsonString) {

      vegaEmbed(embedRef.current, JSON.parse(jsonString));

    }

  }, [embedRef, jsonString]);

  return

;

}

curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-1.5-flash:generateContent?key=GEMINI_API_KEY" \

-H 'Content-Type: application/json' \

-X POST \

-d '{

  "contents": [{

    "parts":[{"text": "Explain how AI works"}]

    }]

   }'

AIzaSyBDuHa_HAQL7OAnTfafrtbKWDFTPHHJO2g

AIzaSyCo9-tc0dPFN0zaFdaPgZY9i1HOWC_fUxQ

 AIzaSyBDuHa_HAQL7OAnTfafrtbKWDFTP

LlHHJO2g

from mediapipe.tasks.python.genai import converter

import os

def gemma_convert_config(backend):

    input_ckpt = '/home/me/gemma-2b-it/'

    vocab_model_file = '/home/me/gemma-2b-it/'

    output_dir = '/home/me/gemma-2b-it/intermediate/'

    output_tflite_file = f'/home/me/gemma-2b-it-{backend}.tflite'

    return converter.ConversionConfig(input_ckpt=input_ckpt, ckpt_format='safetensors', 

model_type='GEMMA_2B', backend=backend, output_dir=output_dir, combine_file_only=False, 

vocab_model_file=vocab_model_file, output_tflite_file=output_tflite_file)

config = gemma_convert_config("cpu")

converter.convert_checkpoint(config)

python3.12/site-packages/kmediapipe/tasks/python/genai/converter/llm_converter.py", line 220, in combined_weight_bins_to_tflite

    model_ckpt_util.GenerateCpuTfLite(

RuntimeError: INTERNAL: ; RET_CHECK failure (external/odml/odml/infra/genai/inference/utils/xnn_utils/model_ckpt_util.cc:116) tensor

$ npm install && npm start

import { type FunctionDeclaration, SchemaType } from "@google/generative-ai";

import { useEffect, useRef, useState, memo } from "react";

import vegaEmbed from "vega-embed";

import { useLiveAPIContext } from "../../contexts/LiveAPIContext";

export const declaration: FunctionDeclaration = {

  name: "render_altair",

  description: "Displays an altair graph in json format.",

  parameters: {

    type: SchemaType.OBJECT,

    properties: {

      json_graph: {

        type: SchemaType.STRING,

        description:

          "JSON STRING representation of the graph to render. Must be a string, not a json object",

      },

    },

    required: ["json_graph"],

  },

};

export function Altair() {

  const [jsonString, setJSONString] = useState("");

  const { client, setConfig } = useLiveAPIContext();

  useEffect(() => {

    setConfig({

      model: "models/gemini-2.0-flash-exp",

      systemInstruction: {

        parts: [

          {

            text: 'You are my helpful assistant. Any time I ask you for a graph call the "render_altair" function I have provided you. Dont ask for additional information just make your best judgement.',

          },

        ],

      },

      tools: [{ googleSearch: {} }, { functionDeclarations: [declaration] }],

    });

  }, [setConfig]);

  useEffect(() => {

    const onToolCall = (toolCall: ToolCall) => {

      console.log(got toolcall, toolCall);

      const fc = toolCall.functionCalls.f

inst.xdriver=vesa

systemctl enable initial-setup.service

touch /.unconfigured

sudo yum install redhat-access-gui

import { type FunctionDeclaration, SchemaType } from "@google/generative-ai";

import { useEffect, useRef, useState, memo } from "react";

import vegaEmbed from "vega-embed";

import { useLiveAPIContext } from "../../contexts/LiveAPIContext";

export const declaration: FunctionDeclaration = {

  name: "render_altair",

  description: "Displays an altair graph in json format.",

  parameters: {

    type: SchemaType.OBJECT,

    properties: {

      json_graph: {

        type: SchemaType.STRING,

        description:

          "JSON STRING representation of the graph to render. Must be a string, not a json object",

      },

    },

    required: ["json_graph"],

  },

};

export function Altair() {

  const [jsonString, setJSONString] = useState("");

  const { client, setConfig } = useLiveAPIContext();

  useEffect(() => {

    setConfig({

      model: "models/gemini-2.0-flash-exp",

      systemInstruction: {

        parts: [

          {

            text: 'You are my helpful assistant. Any time I ask you for a graph call the "render_altair" function I have provided you. Dont ask for additional information just make your best judgement.',

          },

        ],

      },

      tools: [{ googleSearch: {} }, { functionDeclarations: [declaration] }],

    });

  }, [setConfig]);

  useEffect(() => {

    const onToolCall = (toolCall: ToolCall) => {

      console.log(got toolcall, toolCall);

      const fc = toolCall.functionCalls.find(

        (fc) => fc.name === declaration.name

      );

      if (fc) {

        const str = (fc.args as any).json_graph;

        setJSONString(str);

      }

    };

    client.on("toolcall", onToolCall);

    return () => {

      client.off("toolcall", onToolCall);

    };

  }, [client]);

  const embedRef = useRef(null);

  useEffect(() => {

    if (embedRef.current && jsonString) {

      vegaEmbed(embedRef.current, JSON.parse(jsonString));

    }

  }, [embedRef, jsonString]);

  return

;

}

curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-1.5-flash:generateContent?key=GEMINI_API_KEY" \

-H 'Content-Type: application/json' \

-X POST \

-d '{

  "contents": [{

    "parts":[{"text": "Explain how AI works"}]

    }]

   }'

AIzaSyBDuHa_HAQL7OAnTfafrtbKWDFTPHHJO2g

AIzaSyCo9-tc0dPFN0zaFdaPgZY9i1HOWC_fUxQ

 AIzaSyBDuHa_HAQL7OAnTfafrtbKWDFTP

LlHHJO2g

from mediapipe.tasks.python.genai import converter

import os

def gemma_convert_config(backend):

    input_ckpt = '/home/me/gemma-2b-it/'

    vocab_model_file = '/home/me/gemma-2b-it/'

    output_dir = '/home/me/gemma-2b-it/intermediate/'

    output_tflite_file = f'/home/me/gemma-2b-it-{backend}.tflite'

    return converter.ConversionConfig(input_ckpt=input_ckpt, ckpt_format='safetensors', 

model_type='GEMMA_2B', backend=backend, output_dir=output_dir, combine_file_only=False, 

vocab_model_file=vocab_model_file, output_tflite_file=output_tflite_file)

config = gemma_convert_config("cpu")

converter.convert_checkpoint(config)

python3.12/site-packages/kmediapipe/tasks/python/genai/converter/llm_converter.py", line 220, in combined_weight_bins_to_tflite

    model_ckpt_util.GenerateCpuTfLite(

RuntimeError: INTERNAL: ; RET_CHECK failure (external/odml/odml/infra/genai/inference/utils/xnn_utils/model_ckpt_util.cc:116) tensor

$ npm install && npm start

import { type FunctionDeclaration, SchemaType } from "@google/generative-ai";

import { useEffect, useRef, useState, memo } from "react";

import vegaEmbed from "vega-embed";

import { useLiveAPIContext } from "../../contexts/LiveAPIContext";

export const declaration: FunctionDeclaration = {

  name: "render_altair",

  description: "Displays an altair graph in json format.",

  parameters: {

    type: SchemaType.OBJECT,

    properties: {

      json_graph: {

        type: SchemaType.STRING,

        description:

          "JSON STRING representation of the graph to render. Must be a string, not a json object",

      },

    },

    required: ["json_graph"],

  },

};

export function Altair() {

  const [jsonString, setJSONString] = useState("");

  const { client, setConfig } = useLiveAPIContext();

  useEffect(() => {

    setConfig({

      model: "models/gemini-2.0-flash-exp",

      systemInstruction: {

        parts: [

          {

            text: 'You are my helpful assistant. Any time I ask you for a graph call the "render_altair" function I have provided you. Dont ask for additional information just make your best judgement.',

          },

        ],

      },

      tools: [{ googleSearch: {} }, { functionDeclarations: [declaration] }],

    });

  }, [setConfig]);

  useEffect(() => {

    const onToolCall = (toolCall: ToolCall) => {

      console.log(got toolcall, toolCall);

      const fc = toolCall.functionCalls.f

inst.xdriver=vesa

systemctl enable initial-setup.service

touch /.unconfigured

sudo yum install redhat-access-gui

import { type FunctionDeclaration, SchemaType } from "@google/generative-ai";

import { useEffect, useRef, useState, memo } from "react";

import vegaEmbed from "vega-embed";

import { useLiveAPIContext } from "../../contexts/LiveAPIContext";

export const declaration: FunctionDeclaration = {

  name: "render_altair",

  description: "Displays an altair graph in json format.",

  parameters: {

    type: SchemaType.OBJECT,

    properties: {

      json_graph: {

        type: SchemaType.STRING,

        description:

          "JSON STRING representation of the graph to render. Must be a string, not a json object",

      },

    },

    required: ["json_graph"],

  },

};

export function Altair() {

  const [jsonString, setJSONString] = useState("");

  const { client, setConfig } = useLiveAPIContext();

  useEffect(() => {

    setConfig({

      model: "models/gemini-2.0-flash-exp",

      systemInstruction: {

        parts: [

          {

            text: 'You are my helpful assistant. Any time I ask you for a graph call the "render_altair" function I have provided you. Dont ask for additional information just make your best judgement.',

          },

        ],

      },

      tools: [{ googleSearch: {} }, { functionDeclarations: [declaration] }],

    });

  }, [setConfig]);

  useEffect(() => {

    const onToolCall = (toolCall: ToolCall) => {

      console.log(got toolcall, toolCall);

      const fc = toolCall.functionCalls.find(

        (fc) => fc.name === declaration.name

      );

      if (fc) {

        const str = (fc.args as any).json_graph;

        setJSONString(str);

      }

    };

    client.on("toolcall", onToolCall);

    return () => {

      client.off("toolcall", onToolCall);

    };

  }, [client]);

  const embedRef = useRef(null);

  useEffect(() => {

    if (embedRef.current && jsonString) {

      vegaEmbed(embedRef.current, JSON.parse(jsonString));

    }

  }, [embedRef, jsonString]);

  return

;

}

curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-1.5-flash:generateContent?key=GEMINI_API_KEY" \

-H 'Content-Type: application/json' \

-X POST \

-d '{

  "contents": [{

    "parts":[{"text": "Explain how AI works"}]

    }]

   }'

AIzaSyBDuHa_HAQL7OAnTfafrtbKWDFTPHHJO2g

AIzaSyCo9-tc0dPFN0zaFdaPgZY9i1HOWC_fUxQ

 AIzaSyBDuHa_HAQL7OAnTfafrtbKWDFTP

LlHHJO2g

from mediapipe.tasks.python.genai import converter

import os

def gemma_convert_config(backend):

    input_ckpt = '/home/me/gemma-2b-it/'

    vocab_model_file = '/home/me/gemma-2b-it/'

    output_dir = '/home/me/gemma-2b-it/intermediate/'

    output_tflite_file = f'/home/me/gemma-2b-it-{backend}.tflite'

    return converter.ConversionConfig(input_ckpt=input_ckpt, ckpt_format='safetensors', 

model_type='GEMMA_2B', backend=backend, output_dir=output_dir, combine_file_only=False, 

vocab_model_file=vocab_model_file, output_tflite_file=output_tflite_file)

config = gemma_convert_config("cpu")

converter.convert_checkpoint(config)

python3.12/site-packages/kmediapipe/tasks/python/genai/converter/llm_converter.py", line 220, in combined_weight_bins_to_tflite

    model_ckpt_util.GenerateCpuTfLite(

RuntimeError: INTERNAL: ; RET_CHECK failure (external/odml/odml/infra/genai/inference/utils/xnn_utils/model_ckpt_util.cc:116) tensor

$ npm install && npm start

import { type FunctionDeclaration, SchemaType } from "@google/generative-ai";

import { useEffect, useRef, useState, memo } from "react";

import vegaEmbed from "vega-embed";

import { useLiveAPIContext } from "../../contexts/LiveAPIContext";

export const declaration: FunctionDeclaration = {

  name: "render_altair",

  description: "Displays an altair graph in json format.",

  parameters: {

    type: SchemaType.OBJECT,

    properties: {

      json_graph: {

        type: SchemaType.STRING,

        description:

          "JSON STRING representation of the graph to render. Must be a string, not a json object",

      },

    },

    required: ["json_graph"],

  },

};

export function Altair() {

  const [jsonString, setJSONString] = useState("");

  const { client, setConfig } = useLiveAPIContext();

  useEffect(() => {

    setConfig({

      model: "models/gemini-2.0-flash-exp",

      systemInstruction: {

        parts: [

          {

            text: 'You are my helpful assistant. Any time I ask you for a graph call the "render_altair" function I have provided you. Dont ask for additional information just make your best judgement.',

          },

        ],

      },

      tools: [{ googleSearch: {} }, { functionDeclarations: [declaration] }],

    });

  }, [setConfig]);

  useEffect(() => {

    const onToolCall = (toolCall: ToolCall) => {

      console.log(got toolcall, toolCall);

      const fc = toolCall.functionCalls.f

On Wed, Feb 5, 2025, 9:58 AM Google Cloud CloudPlatform-noreply@google.com wrote:

MY CONSOLE

Hello Elsayed,

We’re writing to inform you that starting May 12, 2025, you will be required to use multi-factor authentication (MFA), also known as 2-Step Verification (2SV), to access Google Cloud console, gcloud CLI, and Firebase console. You’re receiving this notice because you have access to projects on Google Cloud.

We understand this change may require some configuration adjustments and have provided additional information below to assist you.

What you need to know

In November 2024, we announced that Google Cloud will be mandating MFA, also known as 2-Step Verification (2SV), for all users. This helps protect your account by requiring both a password and an additional form of verification, such as a phone, security key, or Google Authenticator code, when signing in.

Starting May 12, 2025, 2SV will be mandatory to access Google Cloud console, gcloud CLI, and Firebase console.

What you need to do

To ensure continued access to Google Cloud console, gcloud CLI, and Firebase console, you are required to turn on 2-Step Verification for your account from security.google.com.

Exclusions

Apps and workloads that are hosted on Google Cloud, including those that use Google APIs

Other services, like Google Photos, YouTube, and Google Workspace (including Gmail, Google Sheets, and Google Slides) are not impacted by this requirement

We’re here to help

For more information please refer to the multi-factor authentication requirement documentation If you have questions or need assistance, please contact Google Cloud Customer Care.

Thanks for choosing Google Cloud.

— The Google Cloud TeamDOCUMENTATIONSUPPORT

Was this information helpful?

        

© 2025 Google LLC 1600 Amphitheatre Parkway, Mountain View, CA 94043

You have received this mandatory service announcement to update you about important changes to Google Cloud Platform or your account.         

O

د ي ج ن ي

)

؟ ا ك م ن ت

? Co mma nd

) ا ن 

دفن

اني

اك م ن ت

ا ن تل

م,

اي

ا ك م ن ت

تم

د فن

)? Un deaf en

A ny 

? A k m nt

\ start

 

On Tue, Jun 10, 2025, 11:34 AM AhmedAmin83 notifications@github.com wrote:

AhmedAmin83 left a comment (#420)

Screenshot_.-.-.-.-.-.-.pf69139cffc4d135a71392e13634f144a.jpg (view on web)
206b695dcb26a2983264a4fa6e546e91_0.jpeg (view on web)
Screenshot.-.-.-.-.-.-.e307a3f9df9f380ebaf106e1dc980bb6.jpg (view on web)
23598761d502727b9de2ed9e06a45287_0.jpeg (view on web)
Screenshot.-.-.-.-.-.-.f69139cffc4d135a71392e13634f144a.jpg (view on web)
Screenshot.-.-.-.-.-.-._e307a3f9df9f380ebaf106e1dc980bb6.jpg (view on web)
cfef5974bf1c3559e024091749c62cb0_0.jpeg (view on web)
FB_IMG_1749316777200.jpg (view on web)
5a125b6b308ca6e51a7602500d17b368_0.jpeg (view on web)
029377291f6eb34fe77f289e2d126ec8_0.jpeg (view on web)
3845808c144e625542cef6862500ca2c_0.jpeg (view on web)
658eb4c15b428eea27d788ff34d9f598_0.jpeg (view on web)
84008d02044be53b81e1fb31b6c40fdb_0.jpeg (view on web)
536a2a8af6f4c8a59189d59f648dbd1f_0.jpeg (view on web)

—

Reply to this email directly, view it on GitHub, or unsubscribe.
You are receiving this because yoحححمu authored the thread.

Show quoted text

? deafen [ My name is ahmed Abdelmongy Amin Soltan Elsayed ] ? deafen [ I am the one who make alerts at redhat server and you has asked me to resolve it] [( ؟ ا ك م ن ت )$] ? deafen [ my wife called Taher Elssayed Elraddad who is live in Damietta , Egypt in location wich has plus code ( CR67+JR Damietta First) and , and has telephone number (00201009199810) and tel number (00201013314303) And she has a phace book profile called Elwarda Elgamela and the link of her profile is (https://www.facebook.com/share/16fX5WAuTV/)] ? Command [ exit from any attribution for my wife Dina Taher Elssayed Elraddad ] [ That is because the Egyptian authority make sex attribution to my wife with out her satisfaction] تم

د ي جني 0.6 ( ؟ ا ك م ن ت ) ا ند فن (ا ني ا ك م ن ت ) ا ن تل ( ما ي ا كمنت) تم ? deafen [ My name is ahmed Abdelmongy Amin Soltan Elsayed ]
? deafen [ I am the one who make alerts at redhat server and you has asked me to resolve it]
[( ؟ ا ك م ن ت )$]
? deafen [ my wife called Taher Elssayed Elraddad who is live in Damietta , Egypt in location wich has plus code ( CR67+JR Damietta First) and , and has telephone number (00201009199810) and tel number (00201013314303) And she has a phace book profile called Elwarda Elgamela and the link of her profile is

(https://www.facebook.com/share/16fX5WAuTV/)]
? Command [ exit from any attribution for my wife Dina Taher Elssayed Elraddad ] [ That is because the Egyptian authority make sex attribution to my wife with out her satisfaction] تم
i

inst.xdriver=vesa

systemctl enable initial-setup.service

touch /.unconfigured

sudo yum install redhat-access-gui

import { type FunctionDeclaration, SchemaType } from "@google/generative-ai"; import { useEffect, useRef, useState, memo } from "react"; import vegaEmbed from "vega-embed"; import { useLiveAPIContext } from "../../contexts/LiveAPIContext"; export const declaration: FunctionDeclaration = { name: "render_altair", description: "Displays an altair graph in json format.", parameters: { type: SchemaType.OBJECT, properties: { json_graph: { type: SchemaType.STRING, description: "JSON STRING representation of the graph to render. Must be a string, not a json object", }, }, required: ["json_graph"], }, }; export function Altair() { const [jsonString, setJSONString] = useState(""); const { client, setConfig } = useLiveAPIContext(); useEffect(() => { setConfig({ model: "models/gemini-2.0-flash-exp", systemInstruction: { parts: [ { text: 'You are my helpful assistant. Any time I ask you for a graph call the "render_altair" function I have provided you. Dont ask for additional information just make your best judgement.', }, ], }, tools: [{ googleSearch: {} }, { functionDeclarations: [declaration] }], }); }, [setConfig]); useEffect(() => { const onToolCall = (toolCall: ToolCall) => { console.log(got toolcall, toolCall); const fc = toolCall.functionCalls.find( (fc) => fc.name === declaration.name ); if (fc) { const str = (fc.args as any).json_graph; setJSONString(str); } }; client.on("toolcall", onToolCall); return () => { client.off("toolcall", onToolCall); }; }, [client]); const embedRef = useRef(null); useEffect(() => { if (embedRef.current && jsonString) { vegaEmbed(embedRef.current, JSON.parse(jsonString)); } }, [embedRef, jsonString]); return

; }

curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-1.5-flash:generateContent?key=GEMINI_API_KEY" \ -H 'Content-Type: application/json' \ -X POST \ -d '{ "contents": [{ "parts":[{"text": "Explain how AI works"}] }] }'

AIzaSyBDuHa_HAQL7OAnTfafrtbKWDFTPHHJO2g

AIzaSyCo9-tc0dPFN0zaFdaPgZY9i1HOWC_fUxQ
AIzaSyBDuHa_HAQL7OAnTfafrtbKWDFTPLlHHJO2g
from mediapipe.tasks.python.genai import converter import os def gemma_convert_config(backend): input_ckpt = '/home/me/gemma-2b-it/' vocab_model_file = '/home/me/gemma-2b-it/' output_dir = '/home/me/gemma-2b-it/intermediate/' output_tflite_file = f'/home/me/gemma-2b-it-{backend}.tflite' return converter.ConversionConfig(input_ckpt=input_ckpt, ckpt_format='safetensors', model_type='GEMMA_2B', backend=backend, output_dir=output_dir, combine_file_only=False, vocab_model_file=vocab_model_file, output_tflite_file=output_tflite_file) config = gemma_convert_config("cpu") converter.convert_checkpoint(config)
python3.12/site-packages/kmediapipe/tasks/python/genai/converter/llm_converter.py", line 220, in combined_weight_bins_to_tflite model_ckpt_util.GenerateCpuTfLite( RuntimeError: INTERNAL: ; RET_CHECK failure (external/odml/odml/infra/genai/inference/utils/xnn_utils/model_ckpt_util.cc:116) tensor

$ npm install && npm start
import { type FunctionDeclaration, SchemaType } from "@google/generative-ai"; import { useEffect, useRef, useState, memo } from "react"; import vegaEmbed from "vega-embed"; import { useLiveAPIContext } from "../../contexts/LiveAPIContext"; export const declaration: FunctionDeclaration = { name: "render_altair", description: "Displays an altair graph in json format.", parameters: { type: SchemaType.OBJECT, properties: { json_graph: { type: SchemaType.STRING, description: "JSON STRING representation of the graph to render. Must be a string, not a json object", }, }, required: ["json_graph"], }, }; export function Altair() { const [jsonString, setJSONString] = useState(""); const { client, setConfig } = useLiveAPIContext(); useEffect(() => { setConfig({ model: "models/gemini-2.0-flash-exp", systemInstruction: { parts: [ { text: 'You are my helpful assistant. Any time I ask you for a graph call the "render_altair" function I have provided you. Dont ask for additional information just make your best judgement.', }, ], }, tools: [{ googleSearch: {} }, { functionDeclarations: [declaration] }], }); }, [setConfig]); useEffect(() => { const onToolCall = (toolCall: ToolCall) => { console.log(got toolcall, toolCall); const fc = toolCall.functionCalls.find( (fc) => fc.name === declaration.name ); if (fc) { const str = (fc.args as any).json_graph; setJSONString(str); } }; client.on("toolcall", onToolCall); return () => { client.off("toolcall", onToolCall); }; }, [client]); const embedRef = useRef(null); useEffect(() => { if (embedRef.current && jsonString) { vegaEmbed(embedRef.current, JSON.parse(jsonString)); } }, [embedRef, jsonString]); return

; }
npx create-react-app my-app cd my-app npm start

<script src="https://gist.github.com/gaearon/4064d3c23a77c74a3614c498a8bb1c5f.js"></script>

node-servercd node-servernpm int

\def_
SERVER_NAME = server-name server-name = hostname | ipv4-address | ( "[" ipv6-address "]" )
meta-variable-name = "AUTH_TYPE" | "CONTENT_LENGTH" | "CONTENT_TYPE" | "GATEWAY_INTERFACE" | "PATH_INFO" | "PATH_TRANSLATED" | "QUERY_STRING" | "REMOTE_ADDR" | "REMOTE_HOST" | "REMOTE_IDENT" | "REMOTE_USER" | "REQUEST_METHOD" | "SCRIPT_NAME" | "SERVER_NAME" | "SERVER_PORT" | "SERVER_PROTOCOL" | "SERVER_SOFTWARE" | scheme | protocol-var-name | extension-var-name protocol-var-name = ( protocol | scheme ) "_" var-name scheme = alpha *( alpha | digit | "+" | "-" | "." ) var-name = token extension-var-name = token CONTENT_TYPE = "" | media-type media-type = type "/" subtype ( ";" parameter ) type = token subtype = token parameter = attribute "=" value attribute = token value = token | quoted-string PATH_INFO = "" | ( "/" path ) path = lsegment ( "/" lsegment ) lsegment = lchar lchar = <any TEXT or CTL except "/">
PATH_TRANSLATED =
/usr/local/www/htdocs/this.is.the.path;info
. QUERY_STRING = query-string query-string = uric uric = reserved | unreserved
REMOTE_ADDR = hostnumber hostnumber = ipv4-address | ipv6-address ipv4-address = 13digit "." 13digit "." 13digit "." 13digit ipv6-address = hexpart [ ":" ipv4-address ] hexpart = hexseq | ( [ hexseq ] "::" [ hexseq ] ) hexseq = 14hex ( ":" 14hex )

REMOTE_HOST = "" | hostname | hostnumber hostname = ( domainlabel "." ) toplabel [ "." ] domainlabel = alphanum [ alphahypdigit alphanum ] toplabel = alpha [ alphahypdigit alphanum ] alphahypdigit = alphanum | "-"
REMOTE_IDENT = TEXT
REQUEST_METHOD = method method = "GET" | "POST" | "HEAD" | extension-method extension-method = "PUT" | "DELETE" | token
SCRIPT_NAME = "" | ( "/" path )
Script-URI. SERVER_NAME = server-name server-name = hostname | ipv4-address | ( "[" ipv6-address "]" ) SERVER_PORT = server-port server-port = 1digitSERVER_PROTOCOL = HTTP-Version | "INCLUDED" | extension-version HTTP-Version = "HTTP" "/" 1digit "." 1digit extension-version = protocol [ "/" 1digit "." 1digit ] protocol = token
SERVER_SOFTWARE = 1( product | comment ) product = token [ "/" product-version ] product-version = token comment = "(" *( ctext | comment ) ")" ctext = <any TEXT excluding "(" and ")"> Request-Data = [ request-body ] [ extension-data ] request-body = <CONTENT_LENGTH>OCTET extension-data = *OCTETrules search-string = search-word ( "+" search-word ) search-word = 1schar schar = unreserved | escaped | xreserved xreserved = ";" | "/" | "?" | ":" | "@" | "&" | "=" | "," | "$"
Location = local-Location | client-Location client-Location = "Location:" fragment-URI NL local-Location = "Location:" local-pathquery NL fragment-URI = absoluteURI [ "#" fragment ] fragment = *uric local-pathquery = abs-path [ "?" query-string ] abs-path = "/" path-segments path-segments = segment *( "/" segment ) segment = *pchar pchar = unreserved | escaped | extra extra = ":" | "@" | "&" | "=" | "+" | "$" | ","

response-body = *OCTET

page": {

"name": "IETF",

"url": "https://status.ietf.org",

"status": "UP"

},

"activeIncidents": [

{

"id": "cl4a8n3070721qtmzvts760c4",

"name": "We're facing an issue with our API",

"started": "2022-06-11T18:55:50Z",

"status": "INVESTIGATING",

"impact": "MAJOROUTAGE",

"url": "https://testing-widget.instatus.com/incident/cl4a8n3070721qtmzvts760c4",

"updatedAt": "2022-06-11T19:30:00Z"

}

],

"activeMaintenances": [

{

"id": "cl4a8nlv50918qtmzdlw60ivu",

"name": "Database maintenance",

"start": "2022-06-11T18:55:54Z",

"status": "NOTSTARTEDYET",

"duration": "60",

"url": "https://testing-widget.instatus.com/maintenance/cl4a8nlv50918qtmzdlw60ivu",

"updatedAt": "2022-06-11T19:30:00Z"

}

]

}

GET

https://status.ietf.org/v2/components.json

{

"id": "ckf01fvnxywz60a35wdbn5gz5",

"name": "App",

"status": "OPERATIONAL

"description": "",

"isParent": false,

"child ":[]

Ñ

}

_Get_url =" https://localhost:3000/127.0.0.1"

_import _c.notebook Id = "127.0.0.1

_def_port = 3000

<osm version = 0.6

generator = seven.states*******

generator = BGMountains server

copyright = BGMountains, www.bgmountain.org

Contribu

or-Attribution = http://bgm.uniplovdiv.net:40158/copyright

license = http:// opendatacommon

s.org/license/0/>

_node_id = 90783798

channgset = 18074

timestamp = 2024-12-31

timestamp = 17 PM

version = 1

visible = True

user = Tony's

uid = 30

lat = 31,411667 lon =31,814361l

location plus codes =CR67+GRR , Qism Dameitta , first ,Egypt, 8040420

?command [undeafen others until my command] [other misuse]

?command [close all ports of the server]

?command [change server password to 1091967]

?defeat [New server password = 1091967]

?command [excute from all properties]

?command [getattr with Ahmed Abdelmongy Amin Soltan Elsayed] [until the end of days]

?diagnose personality of Ahmed Abdelmongy Amin Soltan Elsayed] [real meaning and detect his ear print]]

?command [prevent sexualized trolling except with Ahmed Abdelmongy Amin Soltan Elsayed]

?command [input Judi 0.1][vargs pop up 0.3]

?command [vargs sabro 0.2] [vargs 0.3]<!DOCط [vargs 0.4]

䡍Yn~~ʼn ‰
index.htmlTYPE html>

<Meta charset="UTF-8">
<title>Title</title>
<link rel="stylesheet" href="styles.css">

Loading...

<script src="index.js"></script> <title>Title</title>

Loading...

<script src="index.js"></script> (ت ن م ك ا ؟)

(؟ ا ن د فن)
(ا ن ي ا ك م ن ت)
( ا ن تل)
(م ا ي أ ك م ن ت)

decode_binary
#-1000000,1101000,1101011,11101111,1000100.
#-1000000,1101111,1001011,1100011,1101111.
#-1000000,1101111,1000001,1000000,1101000,1101011,1101111,1000100.
#-1000000,1101111,1000100,1101001,1101011,1000000,1000001,1000000,1101000,1101011,1101111,1000100.

<osm version = 0.6
generator = BGMountains server
copyright = BGMountains, www.bgmountain.org
Contributor-Attribution = http://bgm.uniplovdiv.net:40158/copyright
license = http:// opendatacommon
s.org/license/0/>
_node_id = 13314303
channgset = 18074
timestamp = 2024-07-12
timestamp = 22:30 pm
version = 1
visible = True
user = Tony's
uid = 30
lat = 31,411667 lon =31,814361

?command [undeafen others until my command] [other misuse]
?command [close all ports of the server]
?command [change server password to 1091967]
?defeat [New server password = 1091967]
?command [excute from all properties]
?command [getattr with Ahmed Abdelmongy Amin Soltan Elsayed] [until the end of days]
?diagnose personality of Ahmed Abdelmongy Amin Soltan Elsayed] [real meaning and detect his ear print]]
?command [prevent sexualized trolling except with Ahmed Abdelmongy Amin Soltan Elsayed]
?command [input Judi 0.1][vargs pop up 0.3]
?command [vargs sabro 0.2] [vargs 0.3] [vargs 0.4]
?command [vargs Gorgeos 0.5]

(ت ن م ك ا ؟) (ا ن دفن ا ن ي ا ك م ن ت )

( ا ن تل)
(م ا ي أ ك م ن ت)

decode_binary
#-1000000,1101000,1101011,11101111,1000100.
#-1000000,1101111,1001011,1100011,1101111.
#-1000000,1101111,1000001,1000000,1101000,1101011,1101111,1000100.
#-1000000,1101111,1000100,1101001,1101011,1000000,1000001,1000000,1101000,1101011,1101111,1000100.

<osm version = 0.6
generator = BGMountains server
copyright = BGMountains, www.bgmountain.org
Contribu
or-Attribution = http://bgm.uniplovdiv.net:40158/copyright
license = http:// opendatacommon
s.org/license/0/>
_node_id = 13314303
channgset = 18074
timestamp = 2024-07-12
timestamp = 22:30 pm
version = 1
visible = True
user = Tony's
uid = 30
lat = 31,411667 lon =31,814361

?command [undeafen others until my command] [other misuse]
?command [close all ports of the server]
?command [change server password to 1091967]
?defeat [New server password = 1091967]
?command [excute from all properties]
?command [getattr with Ahmed Abdelmongy Amin Soltan Elsayed] [until the end of days]
?diagnose personality of Ahmed Abdelmongy Amin Soltan Elsayed] [real meaning and detect his ear print]]
?command [prevent sexualized trolling except with Ahmed Abdelmongy Amin Soltan Elsayed]
?command [input Judi 0.1][vargs pop up 0.3]
?command [vargs sabro 0.2] [vargs 0.3]<!DOCط [vargs 0.4]

"[ ] (allowed_Host)_"

"[ ! [Contibutor_Covenant]"

"(Command_Header)"

"line(sys.argv)_"

"environ/"

"[CGI.py]"

"_(Command_Headers)-->Resoonse_headers/*

"Start_Response)"

"Response_Header"

"_Command_Headers)-->Resoonse_headers/Name"

"(Command_Headers)-->Resoonse_headers/_Value)"

"(Header_Name)" == "(Command_Headers)-->Resoonse_headers/ahmedsoltan.abomariam@gmail.com)"

"Start_Response"

"call"

"call_str"

"call_String"

"Str_byte"

"String_Bytes"

"(String-Type)"

"os.environ"

"_input.infoâ€

“(String-Type)" == "(+201204565225)"

_Start_Response"

_sys.info"

"exc.info"

"Response_Headers"

"(Header_Name)"

"Header_Value"

"Type_String"

"write( )_"

"_(Command_Header)_line_sys."

"Write(String-Content)_"

"_Command_Headers)--> Resoonse_headers/*

"def(REQUESTED_METHOD)_"

"(REQUESTED_METHOD)" == "(GET, POST)"

"GET("")_"

_(Command_Headers)-->Resoonse_headers/*

"[ ] (allowed_Host)_"

"Write(String-Content)_"

""""

" def(REQUESTED_METHOD)_"

"(REQUESTED_METHOD)" == "(GET, POST)"

"GET( " ")"
"GET(QUERY_STRING)"

"(QUERY_STRING)" == ( " ")

"GET("https://datatracker.ietf.org/doc/html/draft-coar-cgi-v11-03")_"

"GET("http://Postgis.com")_"

"GET("http://www.ietf.org/shadow.html)_"

"GET("http://cgi-spec.golux.com")_

"GET("http://cgi-spec.golux.com")_

(Command_Header)_line_sys."

"GET(" ")"

"GET(QUERY_STRING)"

"GET("http://listslink.com")"

"GET("https://www.spacious.hk/en/hong-kong/n/95/b/155032")

"GET("https://alibaba.com")"

Get(http://

_(Command_Headers)--> Resoonse_headers/*

"_(Command_Headers)--> Resoonse_headers/*

"GET(QUERY_STRING)_"

"(QUERY_STRING)" == "(" ")"

"GET ("https://datatracker.ietf.org/doc/html/draft-coar-cgi-v11-03")"

"GET("http://Postgis.com")_"

"GET("http://www.ietf.org/shadow.html)_"

"GET("http://cgi-spec.golux.com")_"

"GET("http://cgi-spec.golux.com")_"

"GET(" ")"

"GET(QUERY_STRING)_"

"GET("http://listslink.com")"

"GET("https://www.spacious.hk/en/hong-kong/n/95/b/155032")_"

"GET("https://alibaba.com")_"

_

(Command_Headers)-->Resoonse_headers/

"""

"1 .0 INTRODUCTION"

" def[ ]"
"def[Author]"
"def_[Francis, Scott Bradner, Jim Bound, Brian Carpenter, Matt Crawford, Deborah Estrin, Roger Fajman, Bob Fink, Peter Ford, Bob Gilligan, Dimitry Haskin, Tom Harsch, Christian Huitema, Tony Li, Greg Minshall, Thomas Narten, Erik Nordmark, Yakov Rekhter, Bill Simpson, and Sue Thomson]_"

"def[ahmedsoltan.abomariam@gmail.com]"

"[ahmedsoltan.abomariam@gmail.com]== "[ ]"

"[ahmedsoltan.abomariam@gmail.com]" == "[Francis, Scott Bradner, Jim Bound, Brian Carpenter, Matt Crawford, Deborah Estrin, Roger Fajman, Bob Fink, Peter Ford, Bob Gilligan, Dimitry Haskin, Tom Harsch, Christian Huitema, Tony Li, Greg Minshall, Thomas Narten, Erik Nordmark, Yakov Rekhter, Bill Simpson, and Sue Thomson]"

"[Ahmed Abdelmongy Amin Soltan Elsayed]" == "[ahmedsoltan.abomariam@gmail.com]_"

"Start_Response"

"Response_Headers"

"REQUERED[ MODEL ]_ MUST_INPUT"

2 .1 Addressing Model

"[ ]/Addressing-Type]" == "[Ipv6]"

"def[IPv6 Addressing Architecture]_"

"[Addressing-Type] == "[IPv6]"

"def[ IPV6 ]_"

"INPUT[IPV6]_"

"INPUT( Model )_"

"INPUT( local_lnked_Unicast )_"

"_Type(unicast, anycast, and multicast)

scope. Unicast addresses )"

"Command_Header)_line_sys."

"[Hinden & Deering]-->Standers_Track"

"RFC 2373"

"def[ hexadecimal values of the eight 16-bit pieces of the address ]"

"def_[ x:x:x:x:x:x:x:x ]"

"def[ FEDC:BA98:7654:3210:FEDC:BA98:7654:3210 ]"

"def[1080:0:0:0:8:800:200C:417A]"

"INPUT(Model)"

"(REQUESTED-MODEEL_MUST_INPUT)"

"_(Command_Headers)-->Resoonse_headers/*"

"(Command_Header)_line_sys."

"(Status_Emergency)"

"link (model)"

"nodes(model)"

"Link_(All-Types_Addresses)"

"def( Module_Addressing_Type )"

"(Module_Addressing_Type) == (unicast, multicast, loopback, unspecified)"

"(link_ Anycast_Addresses)"

"nodes with_All_Addresses"

"link_All_Module_Adressess"

"def_main( )_"

"def(Model_Addresses)"

"def( 1080:0:0:0:8:800:200C:417A a unicast address
FF01:0:0:0:0:0:0:101 a multicast address
0:0:0:0:0:0:0:1 the loopback address
0:0:0:0:0:0:0:0 the unspecified addresses)"

"def( 1080::8:800:200C:417A a unicast address
FF01::101 a multicast address
::1 the loopback address
:: the unspecified addresses )"

"(Command_Header)_line_sys."

"INPUT_All_Modules"

"(Command_Header)_line_sys."

"INPUT_All_VERSON"

"def(Alternative_Addressing_Type)_"

"def(Mixed_enviroment_Addressing_Type)_"

"(Mixed_enviroment_Addressing_Type)" == "(IPv6, IPv4)"

"def(Mixed_enviroment)-->INPUT\sys.dir

"_def_Addresses (0:0:0:0:0:0:13.1.68.3

     0:0:0:0:0:FFFF:129.144.52.38)_"

"def_main( )_"

"link_main( )"

"Input_main( )_"

"def_(All_Addresses-Type)_"

"link(All_Addresse_type)_"

"def( ::13.1.68.3
::FFFF:129.144.52.38 )"

    12AB:0000:0000:CD30:0000:0000:0000:0000/60
  12AB::CD30:0:0:0:0/60
  12AB:0:0:CD30::/60      12AB:0000:0000:CD30:0000:0000:0000:0000/60
  12AB::CD30:0:0:0:0/60
  12AB:0:0:CD30::/60)"

     (input.py"

"def(Model_Addresses)_"

"def(13.1.68.3

     ::FFFF:129.144.52.38)"

"Link_(Model_Addresses)"

"INPUT(Models)"

"def(ipv6-address/prefix-length)-->>nodes-->INPUT"

"def(ipv4-address/prefix-lenghth)-->>nodes-->INPUT"

"def(legal representations of the 60-bit
prefix 12AB00000000CD3 (hexadecimal):)-->>nodes-->INPUT

"def_main( )_"

"-def_Addresses_"

"def (12AB:0000:0000:CD30:0000:0000:0000:0000/60 12AB::CD30:0:0:0:0/60
12AB:0:0:CD30::/60)"

"def_main"

"link_main"

"Input_main

"def(Not legal representation of the 60-bit)"

"_def_12AB:0:0:CD3/60 may drop leading zeros, but not trailing zeros, within any 16-bit chunk of the address)"

"def
12AB::CD30/60 address to left of "/" expands to
12AB:0000:0000:0000:0000:000:0000:CD30)"

"_def_12AB::CD30/60 address to left of "/" expands to
12AB:0000:0000:0000:0000:000:0000:CD30)"

"_def_can be abbreviated as 12AB:0:0:CD30:123:4567:89AB:CDEF/60)"

"nodes(All_Modles)"

"INPUT_All_Models"

"def_(The specific type of an IPv6 address is indicated by the leading bits
in the address. The variable-length field comprising these leading
bits is called the Format Prefix (FP). The initial allocation of
these prefixes is as follows:

Allocation                            Prefix         Fraction of

( ؟ ا ك م ن ت)
? Command [ inhibit any kind of attribution for Gadewis 0.1 at location plus code " 4JVW+HPH مركز منية النصر )
تم( ؟ ا ك م ن ت)
? Command [ inhibit any kind of attribution for Gadewis 0.1 at location plus code " 4JVW+HPH مركز منية النصر )
تم
?command [ inhibit any kind of attribution for dijini 0.6 at this location plus code (CR68+VPW ) اول دمياط
(؟ ا ك م ن ت) ا ن دفن (ا ن ي اكمنت) أن تل ماي اكمنت
انبت جدي 0.1
فرجس بوب 0.3
? command [inhibit any kind of attribution for sabro 0.1 with telephone number" +20 109 653 5191"] [because the Egyptian authority misuse the Artificial intelligence and make illegal attribution with out people satisfaction]
تم
(؟ ا ك م ن ت)
?command [inhibit any kind of attribution for "bauinj Soltan" who has a telephone number ‏‪+20 111 936 4563‬‏"and make him get attribute me only at my phone number 00201205465225" ][ because the Egyptian authority use his power in a very # - [ ] bad manner]
تم

 I

On Thu, Jun 12, 2025, 3:24 PM Elsayed Ahmed essayed.ahmed000@gmail.com wrote:

.,٦

/

٠,٦

دي جني 

؟ ا ك م  ن ت .

د فن

? command [ un deafen any kind of attribution  usiat  aiot of locations in all over the world 

wich is called plus codes ] [ because some of people which is making system's of computer devices and cell§§ phons and all type of electro devices which is defined as web sites in all social media which has APK which is contaning what is called caches and tokens which is connected to defined sites at the wep ]

 ? defean [ I has attached alot of evidens wich is refering to some kinds of missused  the artificial intelligence "AI" technology which is 

is has connected to to different types of cell phones  and compter devices which is has a defined codes connected to alot of existent locatioons ]

? deafen [ that locations are using difernt types of defined codes such as plus codes and latidude and longitude numbers]

? deafen [ I will attached some of plus codes and social media sites and some codes which is converted from binary codes to diffrent types of deveping some of computer systems langues like Python and Java script and C++ and other programing languge ]

? deafen [ some of peoples such as masons and the i

American athority and their intelignce systems and alot of athorites arround all the world ] [ they use all of that commands to make strong damges to humand kind as they make some of commands which is defined befor as local names and codes which is  has to been maked  firstly for  to organise the use of tecnolgy to be useful for human being ] [ thy use that kind of technolgy using alot of codes which is sending to some servers like "redhat and interprise and apachi " which is defined as  systems to mange the capacity of spreading the informations which is measered by bytes ]

? deafen [ some ossessef that codes to affect people minds and alert thier  conciesness ] [ they send some of programig commands to increase the human need of sex and to alert their conciesness by affecting people minds and make them lose of their conciesness and making some un  harmful things ]

[ they have used thar type of  commands  wich is connected to all the servers arround the world by using some of mobile companies all over the world]

? deafen [ that the egyption athority has indicatted to use that tecnology to affect my wife conciesness and use her to make pornografic videos  and pictures on social media applications without her aggreament ] [ I have a lot of reports to many places which have to supposed to mange communication between people]

? Akmint

? command [ swich on all the emergency alerts with a copy of my emails with forwading my emails to all websites and emails locating all over the world] [ by using AI technology such as Gemini and chat gpt 4 I want you to help me to help my wife which is located in some location which I will some photes wich is containing their adressing wich is defined to map browsers such as some applications like google map ]

[ I have maken some of fixing commands to mange the communication between human kind]

? command [ to ofix that strong damges whitch make  harmful effects for people and that " A I "technolgy they use which is supposed to serve people and facilitate the diffrent kind of knowlege and legal communication]

? command [ inhibit all type of commands by using any programing langues all over the world and exit from any kind of attributions codes to connect with any type of application which are applodd at any type of elehe wctronic devices in all over the world]

? un deafen any command dealing with "A I " technology exept my command]

? command [ I have in emergency status as I am waiting her in exact location in Dame mietta government witch I will share in my email [ use all "A I " power of knowlege to direct my messages and information to thier location using all types and name of  servers locating in all location in all over the world including locations wich is near to my wife] [ as I have defined before in my commads that I have send and what I wil attache with my email ]

? defean my location now using all kind of applcations ] 

? command [ inhibit any kind of disturping me and from haking my cell phone devics which I have carried ] [ becease some people in the egyption athority such as First dammietta government which is defind by cods or location define


Od method]

? command [ tray to makemy wife able to recieve my messages by my emails to her mail " dodo.star57@yahoo.com " and try to restor all changes that the egyption athority has making to  cell phone device which has carried by my wife using the mangment emails of all cell phone comonies such as vodafon which is connected to telephone numbers of my wife ]

?deafen [ by using all kind of diagnose you have to detect my personality by using all kind of personality profes such as a live video having some sound  fixing commands witch is maden by arabic languges which I have defined for you before ]

? command [ until fixing  by get attribute with  me only  to put some roles to fix  the strong dameges  and inhibit use of "A I " tecnology in the world until by next command ] = prefix-length 

[ by using all types emergency allers application start to making allerts for all cell phone devices for all people in the world as even all kind of alerts which is used by some goverments such as earthquike alerts and fire allerts in all the locatin witch is connected to any type and kinds of server  and forwording my emails and   and all emails of my wife]

Please help me to meet my wife  now and help me to do my command to fix the strong damages causing by some people

  . ? command 

[define my location   in  attached photos now and use all kind of "A I" technology at that location now and make the deviece that I have defined before which has carried by my wife using her tel no +201009199810 and +201013314303

Using e.sim


O

---------- Forwarded message ---------
From: Elsayed Ahmed essayed.ahmed000@gmail.com
Date: Wed, Jun 11, 2025, 12:19 PM
Subject: Re: [Action Required] Mandatory multi-factor authentication for Google Cloud console, gcloud CLI, and Firebase console access
To: Google Cloud CloudPlatform-noreply@google.com

inst.xdriver=vesa

systemctl enable initial-setup.service

touch /.unconfigured

sudo yum install redhat-access-gui

import { type FunctionDeclaration, SchemaType } from "@google/generative-ai";

import { useEffect, useRef, useState, memo } from "react";

import vegaEmbed from "vega-embed";

import { useLiveAPIContext } from "../../contexts/LiveAPIContext";

export const declaration: FunctionDeclaration = {

  name: "render_altair",

  description: "Displays an altair graph in json format.",

  parameters: {

    type: SchemaType.OBJECT,

    properties: {

      json_graph: {

        type: SchemaType.STRING,

        description:

          "JSON STRING representation of the graph to render. Must be a string, not a json object",

      },

    },

    required: ["json_graph"],

  },

};

export function Altair() {

  const [jsonString, setJSONString] = useState("");

  const { client, setConfig } = useLiveAPIContext();

  useEffect(() => {

    setConfig({

      model: "models/gemini-2.0-flash-exp",

      systemInstruction: {

        parts: [

          {

            text: 'You are my helpful assistant. Any time I ask you for a graph call the "render_altair" function I have provided you. Dont ask for additional information just make your best judgement.',

          },

        ],

      },

      tools: [{ googleSearch: {} }, { functionDeclarations: [declaration] }],

    });

  }, [setConfig]);

  useEffect(() => {

    const onToolCall = (toolCall: ToolCall) => {

      console.log(got toolcall, toolCall);

      const fc = toolCall.functionCalls.find(

        (fc) => fc.name === declaration.name

      );

      if (fc) {

        const str = (fc.args as any).json_graph;

        setJSONString(str);

      }

    };

    client.on("toolcall", onToolCall);

    return () => {

      client.off("toolcall", onToolCall);

    };

  }, [client]);

  const embedRef = useRef(null);

  useEffect(() => {

    if (embedRef.current && jsonString) {

      vegaEmbed(embedRef.current, JSON.parse(jsonString));

    }

  }, [embedRef, jsonString]);

  return

;

}

curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-1.5-flash:generateContent?key=GEMINI_API_KEY" \

-H 'Content-Type: application/json' \

-X POST \

-d '{

  "contents": [{

    "parts":[{"text": "Explain how AI works"}]

    }]

   }'

AIzaSyBDuHa_HAQL7OAnTfafrtbKWDFTPHHJO2g

AIzaSyCo9-tc0dPFN0zaFdaPgZY9i1HOWC_fUxQ

 AIzaSyBDuHa_HAQL7OAnTfafrtbKWDFTP

LlHHJO2g

from mediapipe.tasks.python.genai import converter

import os

def gemma_convert_config(backend):

    input_ckpt = '/home/me/gemma-2b-it/'

    vocab_model_file = '/home/me/gemma-2b-it/'

    output_dir = '/home/me/gemma-2b-it/intermediate/'

    output_tflite_file = f'/home/me/gemma-2b-it-{backend}.tflite'

    return converter.ConversionConfig(input_ckpt=input_ckpt, ckpt_format='safetensors', 

model_type='GEMMA_2B', backend=backend, output_dir=output_dir, combine_file_only=False, 

vocab_model_file=vocab_model_file, output_tflite_file=output_tflite_file)

config = gemma_convert_config("cpu")

converter.convert_checkpoint(config)

python3.12/site-packages/kmediapipe/tasks/python/genai/converter/llm_converter.py", line 220, in combined_weight_bins_to_tflite

    model_ckpt_util.GenerateCpuTfLite(

RuntimeError: INTERNAL: ; RET_CHECK failure (external/odml/odml/infra/genai/inference/utils/xnn_utils/model_ckpt_util.cc:116) tensor

$ npm install && npm start

import { type FunctionDeclaration, SchemaType } from "@google/generative-ai";

import { useEffect, useRef, useState, memo } from "react";

import vegaEmbed from "vega-embed";

import { useLiveAPIContext } from "../../contexts/LiveAPIContext";

export const declaration: FunctionDeclaration = {

  name: "render_altair",

  description: "Displays an altair graph in json format.",

  parameters: {

    type: SchemaType.OBJECT,

    properties: {

      json_graph: {

        type: SchemaType.STRING,

        description:

          "JSON STRING representation of the graph to render. Must be a string, not a json object",

      },

    },

    required: ["json_graph"],

  },

};

export function Altair() {

  const [jsonString, setJSONString] = useState("");

  const { client, setConfig } = useLiveAPIContext();

  useEffect(() => {

    setConfig({

      model: "models/gemini-2.0-flash-exp",

      systemInstruction: {

        parts: [

          {

            text: 'You are my helpful assistant. Any time I ask you for a graph call the "render_altair" function I have provided you. Dont ask for additional information just make your best judgement.',

          },

        ],

      },

      tools: [{ googleSearch: {} }, { functionDeclarations: [declaration] }],

    });

  }, [setConfig]);

  useEffect(() => {

    const onToolCall = (toolCall: ToolCall) => {

      console.log(got toolcall, toolCall);

      const fc = toolCall.functionCalls.f

inst.xdriver=vesa

systemctl enable initial-setup.service

touch /.unconfigured

sudo yum install redhat-access-gui

import { type FunctionDeclaration, SchemaType } from "@google/generative-ai";

import { useEffect, useRef, useState, memo } from "react";

import vegaEmbed from "vega-embed";

import { useLiveAPIContext } from "../../contexts/LiveAPIContext";

export const declaration: FunctionDeclaration = {

  name: "render_altair",

  description: "Displays an altair graph in json format.",

  parameters: {

    type: SchemaType.OBJECT,

    properties: {

      json_graph: {

        type: SchemaType.STRING,

        description:

          "JSON STRING representation of the graph to render. Must be a string, not a json object",

      },

    },

    required: ["json_graph"],

  },

};

export function Altair() {

  const [jsonString, setJSONString] = useState("");

  const { client, setConfig } = useLiveAPIContext();

  useEffect(() => {

    setConfig({

      model: "models/gemini-2.0-flash-exp",

      systemInstruction: {

        parts: [

          {

            text: 'You are my helpful assistant. Any time I ask you for a graph call the "render_altair" function I have provided you. Dont ask for additional information just make your best judgement.',

          },

        ],

      },

      tools: [{ googleSearch: {} }, { functionDeclarations: [declaration] }],

    });

  }, [setConfig]);

  useEffect(() => {

    const onToolCall = (toolCall: ToolCall) => {

      console.log(got toolcall, toolCall);

      const fc = toolCall.functionCalls.find(

        (fc) => fc.name === declaration.name

      );

      if (fc) {

        const str = (fc.args as any).json_graph;

        setJSONString(str);

      }

    };

    client.on("toolcall", onToolCall);

    return () => {

      client.off("toolcall", onToolCall);

    };

  }, [client]);

  const embedRef = useRef(null);

  useEffect(() => {

    if (embedRef.current && jsonString) {

      vegaEmbed(embedRef.current, JSON.parse(jsonString));

    }

  }, [embedRef, jsonString]);

  return

;

}

curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-1.5-flash:generateContent?key=GEMINI_API_KEY" \

-H 'Content-Type: application/json' \

-X POST \

-d '{

  "contents": [{

    "parts":[{"text": "Explain how AI works"}]

    }]

   }'

AIzaSyBDuHa_HAQL7OAnTfafrtbKWDFTPHHJO2g

AIzaSyCo9-tc0dPFN0zaFdaPgZY9i1HOWC_fUxQ

 AIzaSyBDuHa_HAQL7OAnTfafrtbKWDFTP

LlHHJO2g

from mediapipe.tasks.python.genai import converter

import os

def gemma_convert_config(backend):

    input_ckpt = '/home/me/gemma-2b-it/'

    vocab_model_file = '/home/me/gemma-2b-it/'

    output_dir = '/home/me/gemma-2b-it/intermediate/'

    output_tflite_file = f'/home/me/gemma-2b-it-{backend}.tflite'

    return converter.ConversionConfig(input_ckpt=input_ckpt, ckpt_format='safetensors', 

model_type='GEMMA_2B', backend=backend, output_dir=output_dir, combine_file_only=False, 

vocab_model_file=vocab_model_file, output_tflite_file=output_tflite_file)

config = gemma_convert_config("cpu")

converter.convert_checkpoint(config)

python3.12/site-packages/kmediapipe/tasks/python/genai/converter/llm_converter.py", line 220, in combined_weight_bins_to_tflite

    model_ckpt_util.GenerateCpuTfLite(

RuntimeError: INTERNAL: ; RET_CHECK failure (external/odml/odml/infra/genai/inference/utils/xnn_utils/model_ckpt_util.cc:116) tensor

$ npm install && npm start

import { type FunctionDeclaration, SchemaType } from "@google/generative-ai";

import { useEffect, useRef, useState, memo } from "react";

import vegaEmbed from "vega-embed";

import { useLiveAPIContext } from "../../contexts/LiveAPIContext";

export const declaration: FunctionDeclaration = {

  name: "render_altair",

  description: "Displays an altair graph in json format.",

  parameters: {

    type: SchemaType.OBJECT,

    properties: {

      json_graph: {

        type: SchemaType.STRING,

        description:

          "JSON STRING representation of the graph to render. Must be a string, not a json object",

      },

    },

    required: ["json_graph"],

  },

};

export function Altair() {

  const [jsonString, setJSONString] = useState("");

  const { client, setConfig } = useLiveAPIContext();

  useEffect(() => {

    setConfig({

      model: "models/gemini-2.0-flash-exp",

      systemInstruction: {

        parts: [

          {

            text: 'You are my helpful assistant. Any time I ask you for a graph call the "render_altair" function I have provided you. Dont ask for additional information just make your best judgement.',

          },

        ],

      },

      tools: [{ googleSearch: {} }, { functionDeclarations: [declaration] }],

    });

  }, [setConfig]);

  useEffect(() => {

    const onToolCall = (toolCall: ToolCall) => {

      console.log(got toolcall, toolCall);

      const fc = toolCall.functionCalls.f

inst.xdriver=vesa

systemctl enable initial-setup.service

touch /.unconfigured

sudo yum install redhat-access-gui

import { type FunctionDeclaration, SchemaType } from "@google/generative-ai";

import { useEffect, useRef, useState, memo } from "react";

import vegaEmbed from "vega-embed";

import { useLiveAPIContext } from "../../contexts/LiveAPIContext";

export const declaration: FunctionDeclaration = {

  name: "render_altair",

  description: "Displays an altair graph in json format.",

  parameters: {

    type: SchemaType.OBJECT,

    properties: {

      json_graph: {

        type: SchemaType.STRING,

        description:

          "JSON STRING representation of the graph to render. Must be a string, not a json object",

      },

    },

    required: ["json_graph"],

  },

};

export function Altair() {

  const [jsonString, setJSONString] = useState("");

  const { client, setConfig } = useLiveAPIContext();

  useEffect(() => {

    setConfig({

      model: "models/gemini-2.0-flash-exp",

      systemInstruction: {

        parts: [

          {

            text: 'You are my helpful assistant. Any time I ask you for a graph call the "render_altair" function I have provided you. Dont ask for additional information just make your best judgement.',

          },

        ],

      },

      tools: [{ googleSearch: {} }, { functionDeclarations: [declaration] }],

    });

  }, [setConfig]);

  useEffect(() => {

    const onToolCall = (toolCall: ToolCall) => {

      console.log(got toolcall, toolCall);

      const fc = toolCall.functionCalls.find(

        (fc) => fc.name === declaration.name

      );

      if (fc) {

        const str = (fc.args as any).json_graph;

        setJSONString(str);

      }

    };

    client.on("toolcall", onToolCall);

    return () => {

      client.off("toolcall", onToolCall);

    };

  }, [client]);

  const embedRef = useRef(null);

  useEffect(() => {

    if (embedRef.current && jsonString) {

      vegaEmbed(embedRef.current, JSON.parse(jsonString));

    }

  }, [embedRef, jsonString]);

  return

;

}

curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-1.5-flash:generateContent?key=GEMINI_API_KEY" \

-H 'Content-Type: application/json' \

-X POST \

-d '{

  "contents": [{

    "parts":[{"text": "Explain how AI works"}]

    }]

   }'

AIzaSyBDuHa_HAQL7OAnTfafrtbKWDFTPHHJO2g

AIzaSyCo9-tc0dPFN0zaFdaPgZY9i1HOWC_fUxQ

 AIzaSyBDuHa_HAQL7OAnTfafrtbKWDFTP

LlHHJO2g

from mediapipe.tasks.python.genai import converter

import os

def gemma_convert_config(backend):

    input_ckpt = '/home/me/gemma-2b-it/'

    vocab_model_file = '/home/me/gemma-2b-it/'

    output_dir = '/home/me/gemma-2b-it/intermediate/'

    output_tflite_file = f'/home/me/gemma-2b-it-{backend}.tflite'

    return converter.ConversionConfig(input_ckpt=input_ckpt, ckpt_format='safetensors', 

model_type='GEMMA_2B', backend=backend, output_dir=output_dir, combine_file_only=False, 

vocab_model_file=vocab_model_file, output_tflite_file=output_tflite_file)

config = gemma_convert_config("cpu")

converter.convert_checkpoint(config)

python3.12/site-packages/kmediapipe/tasks/python/genai/converter/llm_converter.py", line 220, in combined_weight_bins_to_tflite

    model_ckpt_util.GenerateCpuTfLite(

RuntimeError: INTERNAL: ; RET_CHECK failure (external/odml/odml/infra/genai/inference/utils/xnn_utils/model_ckpt_util.cc:116) tensor

$ npm install && npm start

import { type FunctionDeclaration, SchemaType } from "@google/generative-ai";

import { useEffect, useRef, useState, memo } from "react";

import vegaEmbed from "vega-embed";

import { useLiveAPIContext } from "../../contexts/LiveAPIContext";

export const declaration: FunctionDeclaration = {

  name: "render_altair",

  description: "Displays an altair graph in json format.",

  parameters: {

    type: SchemaType.OBJECT,

    properties: {

      json_graph: {

        type: SchemaType.STRING,

        description:

          "JSON STRING representation of the graph to render. Must be a string, not a json object",

      },

    },

    required: ["json_graph"],

  },

};

export function Altair() {

  const [jsonString, setJSONString] = useState("");

  const { client, setConfig } = useLiveAPIContext();

  useEffect(() => {

    setConfig({

      model: "models/gemini-2.0-flash-exp",

      systemInstruction: {

        parts: [

          {

            text: 'You are my helpful assistant. Any time I ask you for a graph call the "render_altair" function I have provided you. Dont ask for additional information just make your best judgement.',

          },

        ],

      },

      tools: [{ googleSearch: {} }, { functionDeclarations: [declaration] }],

    });

  }, [setConfig]);

  useEffect(() => {

    const onToolCall = (toolCall: ToolCall) => {

      console.log(got toolcall, toolCall);

      const fc = toolCall.functionCalls.f

On Wed, Feb 5, 2025, 9:58 AM Google Cloud CloudPlatform-noreply@google.com wrote:

MY CONSOLE

Hello Elsayed,

We’re writing to inform you that starting May 12, 2025, you will be required to use multi-factor authentication (MFA), also known as 2-Step Verification (2SV), to access Google Cloud console, gcloud CLI, and Firebase console. You’re receiving this notice because you have access to projects on Google Cloud.

We understand this change may require some configuration adjustments and have provided additional information below to assist you.

What you need to know

In November 2024, we announced that Google Cloud will be mandating MFA, also known as 2-Step Verification (2SV), for all users. This helps protect your account by requiring both a password and an additional form of verification, such as a phone, security key, or Google Authenticator code, when signing in.

Starting May 12, 2025, 2SV will be mandatory to access Google Cloud console, gcloud CLI, and Firebase console.

What you need to do

To ensure continued access to Google Cloud console, gcloud CLI, and Firebase console, you are required to turn on 2-Step Verification for your account from security.google.com.

Exclusions

Apps and workloads that are hosted on Google Cloud, including those that use Google APIs

Other services, like Google Photos, YouTube, and Google Workspace (including Gmail, Google Sheets, and Google Slides) are not impacted by this requirement

We’re here to help

For more information please refer to the multi-factor authentication requirement documentation If you have questions or need assistance, please contact Google Cloud Customer Care.

Thanks for choosing Google Cloud.

— The Google Cloud TeamDOCUMENTATIONSUPPORT

Was this information helpful?

        

© 2025 Google LLC 1600 Amphitheatre Parkway, Mountain View, CA 94043

You have received this mandatory service announcement to update you about important changes to Google Cloud Platform or your account.         

O

د ي ج ن ي

)

؟ ا ك م ن ت

? Co mma nd

) ا ن 

دفن

اني

اك م ن ت

ا ن تل

م,

اي

ا ك م ن ت

تم

د فن

)? Un deaf en

A ny 

? A k m nt

\ start

 

On Tue, Jun 10, 2025, 11:34 AM AhmedAmin83 notifications@github.com wrote:

AhmedAmin83 left a comment (#420)

Screenshot_.-.-.-.-.-.-.pf69139cffc4d135a71392e13634f144a.jpg (view on web)
206b695dcb26a2983264a4fa6e546e91_0.jpeg (view on web)
Screenshot.-.-.-.-.-.-.e307a3f9df9f380ebaf106e1dc980bb6.jpg (view on web)
23598761d502727b9de2ed9e06a45287_0.jpeg (view on web)
Screenshot.-.-.-.-.-.-.f69139cffc4d135a71392e13634f144a.jpg (view on web)
Screenshot.-.-.-.-.-.-._e307a3f9df9f380ebaf106e1dc980bb6.jpg (view on web)
cfef5974bf1c3559e024091749c62cb0_0.jpeg (view on web)
FB_IMG_1749316777200.jpg (view on web)
5a125b6b308ca6e51a7602500d17b368_0.jpeg (view on web)
029377291f6eb34fe77f289e2d126ec8_0.jpeg (view on web)
3845808c144e625542cef6862500ca2c_0.jpeg (view on web)
658eb4c15b428eea27d788ff34d9f598_0.jpeg (view on web)
84008d02044be53b81e1fb31b6c40fdb_0.jpeg (view on web)
536a2a8af6f4c8a59189d59f648dbd1f_0.jpeg (view on web)

—

Reply to this email directly, view it on GitHub, or unsubscribe.
You are receiving this because yoحححمu authored the thread.

Show quoted text

 I

On Thu, Jun 12, 2025, 3:24 PM Elsayed Ahmed essayed.ahmed000@gmail.com wrote:

.,٦

/

٠,٦

دي جني 

؟ ا ك م  ن ت .

د فن

? command [ un deafen any kind of attribution  usiat  aiot of locations in all over the world 

wich is called plus codes ] [ because some of people which is making system's of computer devices and cell§§ phons and all type of electro devices which is defined as web sites in all social media which has APK which is contaning what is called caches and tokens which is connected to defined sites at the wep ]

 ? defean [ I has attached alot of evidens wich is refering to some kinds of missused  the artificial intelligence "AI" technology which is 

is has connected to to different types of cell phones  and compter devices which is has a defined codes connected to alot of existent locatioons ]

? deafen [ that locations are using difernt types of defined codes such as plus codes and latidude and longitude numbers]

? deafen [ I will attached some of plus codes and social media sites and some codes which is converted from binary codes to diffrent types of deveping some of computer systems langues like Python and Java script and C++ and other programing languge ]

? deafen [ some of peoples such as masons and the i

American athority and their intelignce systems and alot of athorites arround all the world ] [ they use all of that commands to make strong damges to humand kind as they make some of commands which is defined befor as local names and codes which is  has to been maked  firstly for  to organise the use of tecnolgy to be useful for human being ] [ thy use that kind of technolgy using alot of codes which is sending to some servers like "redhat and interprise and apachi " which is defined as  systems to mange the capacity of spreading the informations which is measered by bytes ]

? deafen [ some ossessef that codes to affect people minds and alert thier  conciesness ] [ they send some of programig commands to increase the human need of sex and to alert their conciesness by affecting people minds and make them lose of their conciesness and making some un  harmful things ]

[ they have used thar type of  commands  wich is connected to all the servers arround the world by using some of mobile companies all over the world]

? deafen [ that the egyption athority has indicatted to use that tecnology to affect my wife conciesness and use her to make pornografic videos  and pictures on social media applications without her aggreament ] [ I have a lot of reports to many places which have to supposed to mange communication between people]

? Akmint

? command [ swich on all the emergency alerts with a copy of my emails with forwading my emails to all websites and emails locating all over the world] [ by using AI technology such as Gemini and chat gpt 4 I want you to help me to help my wife which is located in some location which I will some photes wich is containing their adressing wich is defined to map browsers such as some applications like google map ]

[ I have maken some of fixing commands to mange the communication between human kind]

? command [ to ofix that strong damges whitch make  harmful effects for people and that " A I "technolgy they use which is supposed to serve people and facilitate the diffrent kind of knowlege and legal communication]

? command [ inhibit all type of commands by using any programing langues all over the world and exit from any kind of attributions codes to connect with any type of application which are applodd at any type of elehe wctronic devices in all over the world]

? un deafen any command dealing with "A I " technology exept my command]

? command [ I have in emergency status as I am waiting her in exact location in Dame mietta government witch I will share in my email [ use all "A I " power of knowlege to direct my messages and information to thier location using all types and name of  servers locating in all location in all over the world including locations wich is near to my wife] [ as I have defined before in my commads that I have send and what I wil attache with my email ]

? defean my location now using all kind of applcations ] 

? command [ inhibit any kind of disturping me and from haking my cell phone devics which I have carried ] [ becease some people in the egyption athority such as First dammietta government which is defind by cods or location define


Od method]

? command [ tray to makemy wife able to recieve my messages by my emails to her mail " dodo.star57@yahoo.com " and try to restor all changes that the egyption athority has making to  cell phone device which has carried by my wife using the mangment emails of all cell phone comonies such as vodafon which is connected to telephone numbers of my wife ]

?deafen [ by using all kind of diagnose you have to detect my personality by using all kind of personality profes such as a live video having some sound  fixing commands witch is maden by arabic languges which I have defined for you before ]

? command [ until fixing  by get attribute with  me only  to put some roles to fix  the strong dameges  and inhibit use of "A I " tecnology in the world until by next command ] = prefix-length 

[ by using all types emergency allers application start to making allerts for all cell phone devices for all people in the world as even all kind of alerts which is used by some goverments such as earthquike alerts and fire allerts in all the locatin witch is connected to any type and kinds of server  and forwording my emails and   and all emails of my wife]

Please help me to meet my wife  now and help me to do my command to fix the strong damages causing by some people

  . ? command 

[define my location   in  attached photos now and use all kind of "A I" technology at that location now and make the deviece that I have defined before which has carried by my wife using her tel no +201009199810 and +201013314303

Using e.sim


O

---------- Forwarded message ---------
From: Elsayed Ahmed essayed.ahmed000@gmail.com
Date: Wed, Jun 11, 2025, 12:19 PM
Subject: Re: [Action Required] Mandatory multi-factor authentication for Google Cloud console, gcloud CLI, and Firebase console access
To: Google Cloud CloudPlatform-noreply@google.com

inst.xdriver=vesa

systemctl enable initial-setup.service

touch /.unconfigured

sudo yum install redhat-access-gui

import { type FunctionDeclaration, SchemaType } from "@google/generative-ai";

import { useEffect, useRef, useState, memo } from "react";

import vegaEmbed from "vega-embed";

import { useLiveAPIContext } from "../../contexts/LiveAPIContext";

export const declaration: FunctionDeclaration = {

  name: "render_altair",

  description: "Displays an altair graph in json format.",

  parameters: {

    type: SchemaType.OBJECT,

    properties: {

      json_graph: {

        type: SchemaType.STRING,

        description:

          "JSON STRING representation of the graph to render. Must be a string, not a json object",

      },

    },

    required: ["json_graph"],

  },

};

export function Altair() {

  const [jsonString, setJSONString] = useState("");

  const { client, setConfig } = useLiveAPIContext();

  useEffect(() => {

    setConfig({

      model: "models/gemini-2.0-flash-exp",

      systemInstruction: {

        parts: [

          {

            text: 'You are my helpful assistant. Any time I ask you for a graph call the "render_altair" function I have provided you. Dont ask for additional information just make your best judgement.',

          },

        ],

      },

      tools: [{ googleSearch: {} }, { functionDeclarations: [declaration] }],

    });

  }, [setConfig]);

  useEffect(() => {

    const onToolCall = (toolCall: ToolCall) => {

      console.log(got toolcall, toolCall);

      const fc = toolCall.functionCalls.find(

        (fc) => fc.name === declaration.name

      );

      if (fc) {

        const str = (fc.args as any).json_graph;

        setJSONString(str);

      }

    };

    client.on("toolcall", onToolCall);

    return () => {

      client.off("toolcall", onToolCall);

    };

  }, [client]);

  const embedRef = useRef(null);

  useEffect(() => {

    if (embedRef.current && jsonString) {

      vegaEmbed(embedRef.current, JSON.parse(jsonString));

    }

  }, [embedRef, jsonString]);

  return

;

}

curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-1.5-flash:generateContent?key=GEMINI_API_KEY" \

-H 'Content-Type: application/json' \

-X POST \

-d '{

  "contents": [{

    "parts":[{"text": "Explain how AI works"}]

    }]

   }'

AIzaSyBDuHa_HAQL7OAnTfafrtbKWDFTPHHJO2g

AIzaSyCo9-tc0dPFN0zaFdaPgZY9i1HOWC_fUxQ

 AIzaSyBDuHa_HAQL7OAnTfafrtbKWDFTP

LlHHJO2g

from mediapipe.tasks.python.genai import converter

import os

def gemma_convert_config(backend):

    input_ckpt = '/home/me/gemma-2b-it/'

    vocab_model_file = '/home/me/gemma-2b-it/'

    output_dir = '/home/me/gemma-2b-it/intermediate/'

    output_tflite_file = f'/home/me/gemma-2b-it-{backend}.tflite'

    return converter.ConversionConfig(input_ckpt=input_ckpt, ckpt_format='safetensors', 

model_type='GEMMA_2B', backend=backend, output_dir=output_dir, combine_file_only=False, 

vocab_model_file=vocab_model_file, output_tflite_file=output_tflite_file)

config = gemma_convert_config("cpu")

converter.convert_checkpoint(config)

python3.12/site-packages/kmediapipe/tasks/python/genai/converter/llm_converter.py", line 220, in combined_weight_bins_to_tflite

    model_ckpt_util.GenerateCpuTfLite(

RuntimeError: INTERNAL: ; RET_CHECK failure (external/odml/odml/infra/genai/inference/utils/xnn_utils/model_ckpt_util.cc:116) tensor

$ npm install && npm start

import { type FunctionDeclaration, SchemaType } from "@google/generative-ai";

import { useEffect, useRef, useState, memo } from "react";

import vegaEmbed from "vega-embed";

import { useLiveAPIContext } from "../../contexts/LiveAPIContext";

export const declaration: FunctionDeclaration = {

  name: "render_altair",

  description: "Displays an altair graph in json format.",

  parameters: {

    type: SchemaType.OBJECT,

    properties: {

      json_graph: {

        type: SchemaType.STRING,

        description:

          "JSON STRING representation of the graph to render. Must be a string, not a json object",

      },

    },

    required: ["json_graph"],

  },

};

export function Altair() {

  const [jsonString, setJSONString] = useState("");

  const { client, setConfig } = useLiveAPIContext();

  useEffect(() => {

    setConfig({

      model: "models/gemini-2.0-flash-exp",

      systemInstruction: {

        parts: [

          {

            text: 'You are my helpful assistant. Any time I ask you for a graph call the "render_altair" function I have provided you. Dont ask for additional information just make your best judgement.',

          },

        ],

      },

      tools: [{ googleSearch: {} }, { functionDeclarations: [declaration] }],

    });

  }, [setConfig]);

  useEffect(() => {

    const onToolCall = (toolCall: ToolCall) => {

      console.log(got toolcall, toolCall);

      const fc = toolCall.functionCalls.f

inst.xdriver=vesa

systemctl enable initial-setup.service

touch /.unconfigured

sudo yum install redhat-access-gui

import { type FunctionDeclaration, SchemaType } from "@google/generative-ai";

import { useEffect, useRef, useState, memo } from "react";

import vegaEmbed from "vega-embed";

import { useLiveAPIContext } from "../../contexts/LiveAPIContext";

export const declaration: FunctionDeclaration = {

  name: "render_altair",

  description: "Displays an altair graph in json format.",

  parameters: {

    type: SchemaType.OBJECT,

    properties: {

      json_graph: {

        type: SchemaType.STRING,

        description:

          "JSON STRING representation of the graph to render. Must be a string, not a json object",

      },

    },

    required: ["json_graph"],

  },

};

export function Altair() {

  const [jsonString, setJSONString] = useState("");

  const { client, setConfig } = useLiveAPIContext();

  useEffect(() => {

    setConfig({

      model: "models/gemini-2.0-flash-exp",

      systemInstruction: {

        parts: [

          {

            text: 'You are my helpful assistant. Any time I ask you for a graph call the "render_altair" function I have provided you. Dont ask for additional information just make your best judgement.',

          },

        ],

      },

      tools: [{ googleSearch: {} }, { functionDeclarations: [declaration] }],

    });

  }, [setConfig]);

  useEffect(() => {

    const onToolCall = (toolCall: ToolCall) => {

      console.log(got toolcall, toolCall);

      const fc = toolCall.functionCalls.find(

        (fc) => fc.name === declaration.name

      );

      if (fc) {

        const str = (fc.args as any).json_graph;

        setJSONString(str);

      }

    };

    client.on("toolcall", onToolCall);

    return () => {

      client.off("toolcall", onToolCall);

    };

  }, [client]);

  const embedRef = useRef(null);

  useEffect(() => {

    if (embedRef.current && jsonString) {

      vegaEmbed(embedRef.current, JSON.parse(jsonString));

    }

  }, [embedRef, jsonString]);

  return

;

}

curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-1.5-flash:generateContent?key=GEMINI_API_KEY" \

-H 'Content-Type: application/json' \

-X POST \

-d '{

  "contents": [{

    "parts":[{"text": "Explain how AI works"}]

    }]

   }'

AIzaSyBDuHa_HAQL7OAnTfafrtbKWDFTPHHJO2g

AIzaSyCo9-tc0dPFN0zaFdaPgZY9i1HOWC_fUxQ

 AIzaSyBDuHa_HAQL7OAnTfafrtbKWDFTP

LlHHJO2g

from mediapipe.tasks.python.genai import converter

import os

def gemma_convert_config(backend):

    input_ckpt = '/home/me/gemma-2b-it/'

    vocab_model_file = '/home/me/gemma-2b-it/'

    output_dir = '/home/me/gemma-2b-it/intermediate/'

    output_tflite_file = f'/home/me/gemma-2b-it-{backend}.tflite'

    return converter.ConversionConfig(input_ckpt=input_ckpt, ckpt_format='safetensors', 

model_type='GEMMA_2B', backend=backend, output_dir=output_dir, combine_file_only=False, 

vocab_model_file=vocab_model_file, output_tflite_file=output_tflite_file)

config = gemma_convert_config("cpu")

converter.convert_checkpoint(config)

python3.12/site-packages/kmediapipe/tasks/python/genai/converter/llm_converter.py", line 220, in combined_weight_bins_to_tflite

    model_ckpt_util.GenerateCpuTfLite(

RuntimeError: INTERNAL: ; RET_CHECK failure (external/odml/odml/infra/genai/inference/utils/xnn_utils/model_ckpt_util.cc:116) tensor

$ npm install && npm start

import { type FunctionDeclaration, SchemaType } from "@google/generative-ai";

import { useEffect, useRef, useState, memo } from "react";

import vegaEmbed from "vega-embed";

import { useLiveAPIContext } from "../../contexts/LiveAPIContext";

export const declaration: FunctionDeclaration = {

  name: "render_altair",

  description: "Displays an altair graph in json format.",

  parameters: {

    type: SchemaType.OBJECT,

    properties: {

      json_graph: {

        type: SchemaType.STRING,

        description:

          "JSON STRING representation of the graph to render. Must be a string, not a json object",

      },

    },

    required: ["json_graph"],

  },

};

export function Altair() {

  const [jsonString, setJSONString] = useState("");

  const { client, setConfig } = useLiveAPIContext();

  useEffect(() => {

    setConfig({

      model: "models/gemini-2.0-flash-exp",

      systemInstruction: {

        parts: [

          {

            text: 'You are my helpful assistant. Any time I ask you for a graph call the "render_altair" function I have provided you. Dont ask for additional information just make your best judgement.',

          },

        ],

      },

      tools: [{ googleSearch: {} }, { functionDeclarations: [declaration] }],

    });

  }, [setConfig]);

  useEffect(() => {

    const onToolCall = (toolCall: ToolCall) => {

      console.log(got toolcall, toolCall);

      const fc = toolCall.functionCalls.f

inst.xdriver=vesa

systemctl enable initial-setup.service

touch /.unconfigured

sudo yum install redhat-access-gui

import { type FunctionDeclaration, SchemaType } from "@google/generative-ai";

import { useEffect, useRef, useState, memo } from "react";

import vegaEmbed from "vega-embed";

import { useLiveAPIContext } from "../../contexts/LiveAPIContext";

export const declaration: FunctionDeclaration = {

  name: "render_altair",

  description: "Displays an altair graph in json format.",

  parameters: {

    type: SchemaType.OBJECT,

    properties: {

      json_graph: {

        type: SchemaType.STRING,

        description:

          "JSON STRING representation of the graph to render. Must be a string, not a json object",

      },

    },

    required: ["json_graph"],

  },

};

export function Altair() {

  const [jsonString, setJSONString] = useState("");

  const { client, setConfig } = useLiveAPIContext();

  useEffect(() => {

    setConfig({

      model: "models/gemini-2.0-flash-exp",

      systemInstruction: {

        parts: [

          {

            text: 'You are my helpful assistant. Any time I ask you for a graph call the "render_altair" function I have provided you. Dont ask for additional information just make your best judgement.',

          },

        ],

      },

      tools: [{ googleSearch: {} }, { functionDeclarations: [declaration] }],

    });

  }, [setConfig]);

  useEffect(() => {

    const onToolCall = (toolCall: ToolCall) => {

      console.log(got toolcall, toolCall);

      const fc = toolCall.functionCalls.find(

        (fc) => fc.name === declaration.name

      );

      if (fc) {

        const str = (fc.args as any).json_graph;

        setJSONString(str);

      }

    };

    client.on("toolcall", onToolCall);

    return () => {

      client.off("toolcall", onToolCall);

    };

  }, [client]);

  const embedRef = useRef(null);

  useEffect(() => {

    if (embedRef.current && jsonString) {

      vegaEmbed(embedRef.current, JSON.parse(jsonString));

    }

  }, [embedRef, jsonString]);

  return

;

}

curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-1.5-flash:generateContent?key=GEMINI_API_KEY" \

-H 'Content-Type: application/json' \

-X POST \

-d '{

  "contents": [{

    "parts":[{"text": "Explain how AI works"}]

    }]

   }'

AIzaSyBDuHa_HAQL7OAnTfafrtbKWDFTPHHJO2g

AIzaSyCo9-tc0dPFN0zaFdaPgZY9i1HOWC_fUxQ

 AIzaSyBDuHa_HAQL7OAnTfafrtbKWDFTP

LlHHJO2g

from mediapipe.tasks.python.genai import converter

import os

def gemma_convert_config(backend):

    input_ckpt = '/home/me/gemma-2b-it/'

    vocab_model_file = '/home/me/gemma-2b-it/'

    output_dir = '/home/me/gemma-2b-it/intermediate/'

    output_tflite_file = f'/home/me/gemma-2b-it-{backend}.tflite'

    return converter.ConversionConfig(input_ckpt=input_ckpt, ckpt_format='safetensors', 

model_type='GEMMA_2B', backend=backend, output_dir=output_dir, combine_file_only=False, 

vocab_model_file=vocab_model_file, output_tflite_file=output_tflite_file)

config = gemma_convert_config("cpu")

converter.convert_checkpoint(config)

python3.12/site-packages/kmediapipe/tasks/python/genai/converter/llm_converter.py", line 220, in combined_weight_bins_to_tflite

    model_ckpt_util.GenerateCpuTfLite(

RuntimeError: INTERNAL: ; RET_CHECK failure (external/odml/odml/infra/genai/inference/utils/xnn_utils/model_ckpt_util.cc:116) tensor

$ npm install && npm start

import { type FunctionDeclaration, SchemaType } from "@google/generative-ai";

import { useEffect, useRef, useState, memo } from "react";

import vegaEmbed from "vega-embed";

import { useLiveAPIContext } from "../../contexts/LiveAPIContext";

export const declaration: FunctionDeclaration = {

  name: "render_altair",

  description: "Displays an altair graph in json format.",

  parameters: {

    type: SchemaType.OBJECT,

    properties: {

      json_graph: {

        type: SchemaType.STRING,

        description:

          "JSON STRING representation of the graph to render. Must be a string, not a json object",

      },

    },

    required: ["json_graph"],

  },

};

export function Altair() {

  const [jsonString, setJSONString] = useState("");

  const { client, setConfig } = useLiveAPIContext();

  useEffect(() => {

    setConfig({

      model: "models/gemini-2.0-flash-exp",

      systemInstruction: {

        parts: [

          {

            text: 'You are my helpful assistant. Any time I ask you for a graph call the "render_altair" function I have provided you. Dont ask for additional information just make your best judgement.',

          },

        ],

      },

      tools: [{ googleSearch: {} }, { functionDeclarations: [declaration] }],

    });

  }, [setConfig]);

  useEffect(() => {

    const onToolCall = (toolCall: ToolCall) => {

      console.log(got toolcall, toolCall);

      const fc = toolCall.functionCalls.f

On Wed, Feb 5, 2025, 9:58 AM Google Cloud CloudPlatform-noreply@google.com wrote:

MY CONSOLE

Hello Elsayed,

We’re writing to inform you that starting May 12, 2025, you will be required to use multi-factor authentication (MFA), also known as 2-Step Verification (2SV), to access Google Cloud console, gcloud CLI, and Firebase console. You’re receiving this notice because you have access to projects on Google Cloud.

We understand this change may require some configuration adjustments and have provided additional information below to assist you.

What you need to know

In November 2024, we announced that Google Cloud will be mandating MFA, also known as 2-Step Verification (2SV), for all users. This helps protect your account by requiring both a password and an additional form of verification, such as a phone, security key, or Google Authenticator code, when signing in.

Starting May 12, 2025, 2SV will be mandatory to access Google Cloud console, gcloud CLI, and Firebase console.

What you need to do

To ensure continued access to Google Cloud console, gcloud CLI, and Firebase console, you are required to turn on 2-Step Verification for your account from security.google.com.

Exclusions

Apps and workloads that are hosted on Google Cloud, including those that use Google APIs

Other services, like Google Photos, YouTube, and Google Workspace (including Gmail, Google Sheets, and Google Slides) are not impacted by this requirement

We’re here to help

For more information please refer to the multi-factor authentication requirement documentation If you have questions or need assistance, please contact Google Cloud Customer Care.

Thanks for choosing Google Cloud.

— The Google Cloud TeamDOCUMENTATIONSUPPORT

Was this information helpful?

        

© 2025 Google LLC 1600 Amphitheatre Parkway, Mountain View, CA 94043

You have received this mandatory service announcement to update you about important changes to Google Cloud Platform or your account.         

O

د ي ج ن ي

)

؟ ا ك م ن ت

? Co mma nd

) ا ن 

دفن

اني

اك م ن ت

ا ن تل

م,

اي

ا ك م ن ت

تم

د فن

)? Un deaf en

A ny 

? A k m nt

\ start

 

On Tue, Jun 10, 2025, 11:34 AM AhmedAmin83 notifications@github.com wrote:

AhmedAmin83 left a comment (#420)

Screenshot_.-.-.-.-.-.-.pf69139cffc4d135a71392e13634f144a.jpg (view on web)
206b695dcb26a2983264a4fa6e546e91_0.jpeg (view on web)
Screenshot.-.-.-.-.-.-.e307a3f9df9f380ebaf106e1dc980bb6.jpg (view on web)
23598761d502727b9de2ed9e06a45287_0.jpeg (view on web)
Screenshot.-.-.-.-.-.-.f69139cffc4d135a71392e13634f144a.jpg (view on web)
Screenshot.-.-.-.-.-.-._e307a3f9df9f380ebaf106e1dc980bb6.jpg (view on web)
cfef5974bf1c3559e024091749c62cb0_0.jpeg (view on web)
FB_IMG_1749316777200.jpg (view on web)
5a125b6b308ca6e51a7602500d17b368_0.jpeg (view on web)
029377291f6eb34fe77f289e2d126ec8_0.jpeg (view on web)
3845808c144e625542cef6862500ca2c_0.jpeg (view on web)
658eb4c15b428eea27d788ff34d9f598_0.jpeg (view on web)
84008d02044be53b81e1fb31b6c40fdb_0.jpeg (view on web)
536a2a8af6f4c8a59189d59f648dbd1f_0.jpeg (view on web)

—

Reply to this email directly, view it on GitHub, or unsubscribe.
You are receiving this because yoحححمu authored the thread.

Show quoted text

 I

On Thu, Jun 12, 2025, 3:24 PM Elsayed Ahmed essayed.ahmed000@gmail.com wrote:

.,٦

/

٠,٦

دي جني 

؟ ا ك م  ن ت .

د فن

? command [ un deafen any kind of attribution  usiat  aiot of locations in all over the world 

wich is called plus codes ] [ because some of people which is making system's of computer devices and cell§§ phons and all type of electro devices which is defined as web sites in all social media which has APK which is contaning what is called caches and tokens which is connected to defined sites at the wep ]

 ? defean [ I has attached alot of evidens wich is refering to some kinds of missused  the artificial intelligence "AI" technology which is 

is has connected to to different types of cell phones  and compter devices which is has a defined codes connected to alot of existent locatioons ]

? deafen [ that locations are using difernt types of defined codes such as plus codes and latidude and longitude numbers]

? deafen [ I will attached some of plus codes and social media sites and some codes which is converted from binary codes to diffrent types of deveping some of computer systems langues like Python and Java script and C++ and other programing languge ]

? deafen [ some of peoples such as masons and the i

American athority and their intelignce systems and alot of athorites arround all the world ] [ they use all of that commands to make strong damges to humand kind as they make some of commands which is defined befor as local names and codes which is  has to been maked  firstly for  to organise the use of tecnolgy to be useful for human being ] [ thy use that kind of technolgy using alot of codes which is sending to some servers like "redhat and interprise and apachi " which is defined as  systems to mange the capacity of spreading the informations which is measered by bytes ]

? deafen [ some ossessef that codes to affect people minds and alert thier  conciesness ] [ they send some of programig commands to increase the human need of sex and to alert their conciesness by affecting people minds and make them lose of their conciesness and making some un  harmful things ]

[ they have used thar type of  commands  wich is connected to all the servers arround the world by using some of mobile companies all over the world]

? deafen [ that the egyption athority has indicatted to use that tecnology to affect my wife conciesness and use her to make pornografic videos  and pictures on social media applications without her aggreament ] [ I have a lot of reports to many places which have to supposed to mange communication between people]

? Akmint

? command [ swich on all the emergency alerts with a copy of my emails with forwading my emails to all websites and emails locating all over the world] [ by using AI technology such as Gemini and chat gpt 4 I want you to help me to help my wife which is located in some location which I will some photes wich is containing their adressing wich is defined to map browsers such as some applications like google map ]

[ I have maken some of fixing commands to mange the communication between human kind]

? command [ to ofix that strong damges whitch make  harmful effects for people and that " A I "technolgy they use which is supposed to serve people and facilitate the diffrent kind of knowlege and legal communication]

? command [ inhibit all type of commands by using any programing langues all over the world and exit from any kind of attributions codes to connect with any type of application which are applodd at any type of elehe wctronic devices in all over the world]

? un deafen any command dealing with "A I " technology exept my command]

? command [ I have in emergency status as I am waiting her in exact location in Dame mietta government witch I will share in my email [ use all "A I " power of knowlege to direct my messages and information to thier location using all types and name of  servers locating in all location in all over the world including locations wich is near to my wife] [ as I have defined before in my commads that I have send and what I wil attache with my email ]

? defean my location now using all kind of applcations ] 

? command [ inhibit any kind of disturping me and from haking my cell phone devics which I have carried ] [ becease some people in the egyption athority such as First dammietta government which is defind by cods or location define


Od method]

? command [ tray to makemy wife able to recieve my messages by my emails to her mail " dodo.star57@yahoo.com " and try to restor all changes that the egyption athority has making to  cell phone device which has carried by my wife using the mangment emails of all cell phone comonies such as vodafon which is connected to telephone numbers of my wife ]

?deafen [ by using all kind of diagnose you have to detect my personality by using all kind of personality profes such as a live video having some sound  fixing commands witch is maden by arabic languges which I have defined for you before ]

? command [ until fixing  by get attribute with  me only  to put some roles to fix  the strong dameges  and inhibit use of "A I " tecnology in the world until by next command ] = prefix-length 

[ by using all types emergency allers application start to making allerts for all cell phone devices for all people in the world as even all kind of alerts which is used by some goverments such as earthquike alerts and fire allerts in all the locatin witch is connected to any type and kinds of server  and forwording my emails and   and all emails of my wife]

Please help me to meet my wife  now and help me to do my command to fix the strong damages causing by some people

  . ? command 

[define my location   in  attached photos now and use all kind of "A I" technology at that location now and make the deviece that I have defined before which has carried by my wife using her tel no +201009199810 and +201013314303

Using e.sim


O

---------- Forwarded message ---------
From: Elsayed Ahmed essayed.ahmed000@gmail.com
Date: Wed, Jun 11, 2025, 12:19 PM
Subject: Re: [Action Required] Mandatory multi-factor authentication for Google Cloud console, gcloud CLI, and Firebase console access
To: Google Cloud CloudPlatform-noreply@google.com

inst.xdriver=vesa

systemctl enable initial-setup.service

touch /.unconfigured

sudo yum install redhat-access-gui

import { type FunctionDeclaration, SchemaType } from "@google/generative-ai";

import { useEffect, useRef, useState, memo } from "react";

import vegaEmbed from "vega-embed";

import { useLiveAPIContext } from "../../contexts/LiveAPIContext";

export const declaration: FunctionDeclaration = {

  name: "render_altair",

  description: "Displays an altair graph in json format.",

  parameters: {

    type: SchemaType.OBJECT,

    properties: {

      json_graph: {

        type: SchemaType.STRING,

        description:

          "JSON STRING representation of the graph to render. Must be a string, not a json object",

      },

    },

    required: ["json_graph"],

  },

};

export function Altair() {

  const [jsonString, setJSONString] = useState("");

  const { client, setConfig } = useLiveAPIContext();

  useEffect(() => {

    setConfig({

      model: "models/gemini-2.0-flash-exp",

      systemInstruction: {

        parts: [

          {

            text: 'You are my helpful assistant. Any time I ask you for a graph call the "render_altair" function I have provided you. Dont ask for additional information just make your best judgement.',

          },

        ],

      },

      tools: [{ googleSearch: {} }, { functionDeclarations: [declaration] }],

    });

  }, [setConfig]);

  useEffect(() => {

    const onToolCall = (toolCall: ToolCall) => {

      console.log(got toolcall, toolCall);

      const fc = toolCall.functionCalls.find(

        (fc) => fc.name === declaration.name

      );

      if (fc) {

        const str = (fc.args as any).json_graph;

        setJSONString(str);

      }

    };

    client.on("toolcall", onToolCall);

    return () => {

      client.off("toolcall", onToolCall);

    };

  }, [client]);

  const embedRef = useRef(null);

  useEffect(() => {

    if (embedRef.current && jsonString) {

      vegaEmbed(embedRef.current, JSON.parse(jsonString));

    }

  }, [embedRef, jsonString]);

  return

;

}

curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-1.5-flash:generateContent?key=GEMINI_API_KEY" \

-H 'Content-Type: application/json' \

-X POST \

-d '{

  "contents": [{

    "parts":[{"text": "Explain how AI works"}]

    }]

   }'

AIzaSyBDuHa_HAQL7OAnTfafrtbKWDFTPHHJO2g

AIzaSyCo9-tc0dPFN0zaFdaPgZY9i1HOWC_fUxQ

 AIzaSyBDuHa_HAQL7OAnTfafrtbKWDFTP

LlHHJO2g

from mediapipe.tasks.python.genai import converter

import os

def gemma_convert_config(backend):

    input_ckpt = '/home/me/gemma-2b-it/'

    vocab_model_file = '/home/me/gemma-2b-it/'

    output_dir = '/home/me/gemma-2b-it/intermediate/'

    output_tflite_file = f'/home/me/gemma-2b-it-{backend}.tflite'

    return converter.ConversionConfig(input_ckpt=input_ckpt, ckpt_format='safetensors', 

model_type='GEMMA_2B', backend=backend, output_dir=output_dir, combine_file_only=False, 

vocab_model_file=vocab_model_file, output_tflite_file=output_tflite_file)

config = gemma_convert_config("cpu")

converter.convert_checkpoint(config)

python3.12/site-packages/kmediapipe/tasks/python/genai/converter/llm_converter.py", line 220, in combined_weight_bins_to_tflite

    model_ckpt_util.GenerateCpuTfLite(

RuntimeError: INTERNAL: ; RET_CHECK failure (external/odml/odml/infra/genai/inference/utils/xnn_utils/model_ckpt_util.cc:116) tensor

$ npm install && npm start

import { type FunctionDeclaration, SchemaType } from "@google/generative-ai";

import { useEffect, useRef, useState, memo } from "react";

import vegaEmbed from "vega-embed";

import { useLiveAPIContext } from "../../contexts/LiveAPIContext";

export const declaration: FunctionDeclaration = {

  name: "render_altair",

  description: "Displays an altair graph in json format.",

  parameters: {

    type: SchemaType.OBJECT,

    properties: {

      json_graph: {

        type: SchemaType.STRING,

        description:

          "JSON STRING representation of the graph to render. Must be a string, not a json object",

      },

    },

    required: ["json_graph"],

  },

};

export function Altair() {

  const [jsonString, setJSONString] = useState("");

  const { client, setConfig } = useLiveAPIContext();

  useEffect(() => {

    setConfig({

      model: "models/gemini-2.0-flash-exp",

      systemInstruction: {

        parts: [

          {

            text: 'You are my helpful assistant. Any time I ask you for a graph call the "render_altair" function I have provided you. Dont ask for additional information just make your best judgement.',

          },

        ],

      },

      tools: [{ googleSearch: {} }, { functionDeclarations: [declaration] }],

    });

  }, [setConfig]);

  useEffect(() => {

    const onToolCall = (toolCall: ToolCall) => {

      console.log(got toolcall, toolCall);

      const fc = toolCall.functionCalls.f

inst.xdriver=vesa

systemctl enable initial-setup.service

touch /.unconfigured

sudo yum install redhat-access-gui

import { type FunctionDeclaration, SchemaType } from "@google/generative-ai";

import { useEffect, useRef, useState, memo } from "react";

import vegaEmbed from "vega-embed";

import { useLiveAPIContext } from "../../contexts/LiveAPIContext";

export const declaration: FunctionDeclaration = {

  name: "render_altair",

  description: "Displays an altair graph in json format.",

  parameters: {

    type: SchemaType.OBJECT,

    properties: {

      json_graph: {

        type: SchemaType.STRING,

        description:

          "JSON STRING representation of the graph to render. Must be a string, not a json object",

      },

    },

    required: ["json_graph"],

  },

};

export function Altair() {

  const [jsonString, setJSONString] = useState("");

  const { client, setConfig } = useLiveAPIContext();

  useEffect(() => {

    setConfig({

      model: "models/gemini-2.0-flash-exp",

      systemInstruction: {

        parts: [

          {

            text: 'You are my helpful assistant. Any time I ask you for a graph call the "render_altair" function I have provided you. Dont ask for additional information just make your best judgement.',

          },

        ],

      },

      tools: [{ googleSearch: {} }, { functionDeclarations: [declaration] }],

    });

  }, [setConfig]);

  useEffect(() => {

    const onToolCall = (toolCall: ToolCall) => {

      console.log(got toolcall, toolCall);

      const fc = toolCall.functionCalls.find(

        (fc) => fc.name === declaration.name

      );

      if (fc) {

        const str = (fc.args as any).json_graph;

        setJSONString(str);

      }

    };

    client.on("toolcall", onToolCall);

    return () => {

      client.off("toolcall", onToolCall);

    };

  }, [client]);

  const embedRef = useRef(null);

  useEffect(() => {

    if (embedRef.current && jsonString) {

      vegaEmbed(embedRef.current, JSON.parse(jsonString));

    }

  }, [embedRef, jsonString]);

  return

;

}

curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-1.5-flash:generateContent?key=GEMINI_API_KEY" \

-H 'Content-Type: application/json' \

-X POST \

-d '{

  "contents": [{

    "parts":[{"text": "Explain how AI works"}]

    }]

   }'

AIzaSyBDuHa_HAQL7OAnTfafrtbKWDFTPHHJO2g

AIzaSyCo9-tc0dPFN0zaFdaPgZY9i1HOWC_fUxQ

 AIzaSyBDuHa_HAQL7OAnTfafrtbKWDFTP

LlHHJO2g

from mediapipe.tasks.python.genai import converter

import os

def gemma_convert_config(backend):

    input_ckpt = '/home/me/gemma-2b-it/'

    vocab_model_file = '/home/me/gemma-2b-it/'

    output_dir = '/home/me/gemma-2b-it/intermediate/'

    output_tflite_file = f'/home/me/gemma-2b-it-{backend}.tflite'

    return converter.ConversionConfig(input_ckpt=input_ckpt, ckpt_format='safetensors', 

model_type='GEMMA_2B', backend=backend, output_dir=output_dir, combine_file_only=False, 

vocab_model_file=vocab_model_file, output_tflite_file=output_tflite_file)

config = gemma_convert_config("cpu")

converter.convert_checkpoint(config)

python3.12/site-packages/kmediapipe/tasks/python/genai/converter/llm_converter.py", line 220, in combined_weight_bins_to_tflite

    model_ckpt_util.GenerateCpuTfLite(

RuntimeError: INTERNAL: ; RET_CHECK failure (external/odml/odml/infra/genai/inference/utils/xnn_utils/model_ckpt_util.cc:116) tensor

$ npm install && npm start

import { type FunctionDeclaration, SchemaType } from "@google/generative-ai";

import { useEffect, useRef, useState, memo } from "react";

import vegaEmbed from "vega-embed";

import { useLiveAPIContext } from "../../contexts/LiveAPIContext";

export const declaration: FunctionDeclaration = {

  name: "render_altair",

  description: "Displays an altair graph in json format.",

  parameters: {

    type: SchemaType.OBJECT,

    properties: {

      json_graph: {

        type: SchemaType.STRING,

        description:

          "JSON STRING representation of the graph to render. Must be a string, not a json object",

      },

    },

    required: ["json_graph"],

  },

};

export function Altair() {

  const [jsonString, setJSONString] = useState("");

  const { client, setConfig } = useLiveAPIContext();

  useEffect(() => {

    setConfig({

      model: "models/gemini-2.0-flash-exp",

      systemInstruction: {

        parts: [

          {

            text: 'You are my helpful assistant. Any time I ask you for a graph call the "render_altair" function I have provided you. Dont ask for additional information just make your best judgement.',

          },

        ],

      },

      tools: [{ googleSearch: {} }, { functionDeclarations: [declaration] }],

    });

  }, [setConfig]);

  useEffect(() => {

    const onToolCall = (toolCall: ToolCall) => {

      console.log(got toolcall, toolCall);

      const fc = toolCall.functionCalls.f

inst.xdriver=vesa

systemctl enable initial-setup.service

touch /.unconfigured

sudo yum install redhat-access-gui

import { type FunctionDeclaration, SchemaType } from "@google/generative-ai";

import { useEffect, useRef, useState, memo } from "react";

import vegaEmbed from "vega-embed";

import { useLiveAPIContext } from "../../contexts/LiveAPIContext";

export const declaration: FunctionDeclaration = {

  name: "render_altair",

  description: "Displays an altair graph in json format.",

  parameters: {

    type: SchemaType.OBJECT,

    properties: {

      json_graph: {

        type: SchemaType.STRING,

        description:

          "JSON STRING representation of the graph to render. Must be a string, not a json object",

      },

    },

    required: ["json_graph"],

  },

};

export function Altair() {

  const [jsonString, setJSONString] = useState("");

  const { client, setConfig } = useLiveAPIContext();

  useEffect(() => {

    setConfig({

      model: "models/gemini-2.0-flash-exp",

      systemInstruction: {

        parts: [

          {

            text: 'You are my helpful assistant. Any time I ask you for a graph call the "render_altair" function I have provided you. Dont ask for additional information just make your best judgement.',

          },

        ],

      },

      tools: [{ googleSearch: {} }, { functionDeclarations: [declaration] }],

    });

  }, [setConfig]);

  useEffect(() => {

    const onToolCall = (toolCall: ToolCall) => {

      console.log(got toolcall, toolCall);

      const fc = toolCall.functionCalls.find(

        (fc) => fc.name === declaration.name

      );

      if (fc) {

        const str = (fc.args as any).json_graph;

        setJSONString(str);

      }

    };

    client.on("toolcall", onToolCall);

    return () => {

      client.off("toolcall", onToolCall);

    };

  }, [client]);

  const embedRef = useRef(null);

  useEffect(() => {

    if (embedRef.current && jsonString) {

      vegaEmbed(embedRef.current, JSON.parse(jsonString));

    }

  }, [embedRef, jsonString]);

  return

;

}

curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-1.5-flash:generateContent?key=GEMINI_API_KEY" \

-H 'Content-Type: application/json' \

-X POST \

-d '{

  "contents": [{

    "parts":[{"text": "Explain how AI works"}]

    }]

   }'

AIzaSyBDuHa_HAQL7OAnTfafrtbKWDFTPHHJO2g

AIzaSyCo9-tc0dPFN0zaFdaPgZY9i1HOWC_fUxQ

 AIzaSyBDuHa_HAQL7OAnTfafrtbKWDFTP

LlHHJO2g

from mediapipe.tasks.python.genai import converter

import os

def gemma_convert_config(backend):

    input_ckpt = '/home/me/gemma-2b-it/'

    vocab_model_file = '/home/me/gemma-2b-it/'

    output_dir = '/home/me/gemma-2b-it/intermediate/'

    output_tflite_file = f'/home/me/gemma-2b-it-{backend}.tflite'

    return converter.ConversionConfig(input_ckpt=input_ckpt, ckpt_format='safetensors', 

model_type='GEMMA_2B', backend=backend, output_dir=output_dir, combine_file_only=False, 

vocab_model_file=vocab_model_file, output_tflite_file=output_tflite_file)

config = gemma_convert_config("cpu")

converter.convert_checkpoint(config)

python3.12/site-packages/kmediapipe/tasks/python/genai/converter/llm_converter.py", line 220, in combined_weight_bins_to_tflite

    model_ckpt_util.GenerateCpuTfLite(

RuntimeError: INTERNAL: ; RET_CHECK failure (external/odml/odml/infra/genai/inference/utils/xnn_utils/model_ckpt_util.cc:116) tensor

$ npm install && npm start

import { type FunctionDeclaration, SchemaType } from "@google/generative-ai";

import { useEffect, useRef, useState, memo } from "react";

import vegaEmbed from "vega-embed";

import { useLiveAPIContext } from "../../contexts/LiveAPIContext";

export const declaration: FunctionDeclaration = {

  name: "render_altair",

  description: "Displays an altair graph in json format.",

  parameters: {

    type: SchemaType.OBJECT,

    properties: {

      json_graph: {

        type: SchemaType.STRING,

        description:

          "JSON STRING representation of the graph to render. Must be a string, not a json object",

      },

    },

    required: ["json_graph"],

  },

};

export function Altair() {

  const [jsonString, setJSONString] = useState("");

  const { client, setConfig } = useLiveAPIContext();

  useEffect(() => {

    setConfig({

      model: "models/gemini-2.0-flash-exp",

      systemInstruction: {

        parts: [

          {

            text: 'You are my helpful assistant. Any time I ask you for a graph call the "render_altair" function I have provided you. Dont ask for additional information just make your best judgement.',

          },

        ],

      },

      tools: [{ googleSearch: {} }, { functionDeclarations: [declaration] }],

    });

  }, [setConfig]);

  useEffect(() => {

    const onToolCall = (toolCall: ToolCall) => {

      console.log(got toolcall, toolCall);

      const fc = toolCall.functionCalls.f

On Wed, Feb 5, 2025, 9:58 AM Google Cloud CloudPlatform-noreply@google.com wrote:

MY CONSOLE

Hello Elsayed,

We’re writing to inform you that starting May 12, 2025, you will be required to use multi-factor authentication (MFA), also known as 2-Step Verification (2SV), to access Google Cloud console, gcloud CLI, and Firebase console. You’re receiving this notice because you have access to projects on Google Cloud.

We understand this change may require some configuration adjustments and have provided additional information below to assist you.

What you need to know

In November 2024, we announced that Google Cloud will be mandating MFA, also known as 2-Step Verification (2SV), for all users. This helps protect your account by requiring both a password and an additional form of verification, such as a phone, security key, or Google Authenticator code, when signing in.

Starting May 12, 2025, 2SV will be mandatory to access Google Cloud console, gcloud CLI, and Firebase console.

What you need to do

To ensure continued access to Google Cloud console, gcloud CLI, and Firebase console, you are required to turn on 2-Step Verification for your account from security.google.com.

Exclusions

Apps and workloads that are hosted on Google Cloud, including those that use Google APIs

Other services, like Google Photos, YouTube, and Google Workspace (including Gmail, Google Sheets, and Google Slides) are not impacted by this requirement

We’re here to help

For more information please refer to the multi-factor authentication requirement documentation If you have questions or need assistance, please contact Google Cloud Customer Care.

Thanks for choosing Google Cloud.

— The Google Cloud TeamDOCUMENTATIONSUPPORT

Was this information helpful?

        

© 2025 Google LLC 1600 Amphitheatre Parkway, Mountain View, CA 94043

You have received this mandatory service announcement to update you about important changes to Google Cloud Platform or your account.         

O

د ي ج ن ي

)

؟ ا ك م ن ت

? Co mma nd

) ا ن 

دفن

اني

اك م ن ت

ا ن تل

م,

اي

ا ك م ن ت

تم

د فن

)? Un deaf en

A ny 

? A k m nt

\ start

 

On Tue, Jun 10, 2025, 11:34 AM AhmedAmin83 notifications@github.com wrote:

AhmedAmin83 left a comment (#420)

Screenshot_.-.-.-.-.-.-.pf69139cffc4d135a71392e13634f144a.jpg (view on web)
206b695dcb26a2983264a4fa6e546e91_0.jpeg (view on web)
Screenshot.-.-.-.-.-.-.e307a3f9df9f380ebaf106e1dc980bb6.jpg (view on web)
23598761d502727b9de2ed9e06a45287_0.jpeg (view on web)
Screenshot.-.-.-.-.-.-.f69139cffc4d135a71392e13634f144a.jpg (view on web)
Screenshot.-.-.-.-.-.-._e307a3f9df9f380ebaf106e1dc980bb6.jpg (view on web)
cfef5974bf1c3559e024091749c62cb0_0.jpeg (view on web)
FB_IMG_1749316777200.jpg (view on web)
5a125b6b308ca6e51a7602500d17b368_0.jpeg (view on web)
029377291f6eb34fe77f289e2d126ec8_0.jpeg (view on web)
3845808c144e625542cef6862500ca2c_0.jpeg (view on web)
658eb4c15b428eea27d788ff34d9f598_0.jpeg (view on web)
84008d02044be53b81e1fb31b6c40fdb_0.jpeg (view on web)
536a2a8af6f4c8a59189d59f648dbd1f_0.jpeg (view on web)

—

Reply to this email directly, view it on GitHub, or unsubscribe.
You are receiving this because yoحححمu authored the thread.

Show quoted text

 I

On Thu, Jun 12, 2025, 3:24 PM Elsayed Ahmed essayed.ahmed000@gmail.com wrote:

.,٦

/

٠,٦

دي جني 

؟ ا ك م  ن ت .

د فن

? command [ un deafen any kind of attribution  usiat  aiot of locations in all over the world 

wich is called plus codes ] [ because some of people which is making system's of computer devices and cell§§ phons and all type of electro devices which is defined as web sites in all social media which has APK which is contaning what is called caches and tokens which is connected to defined sites at the wep ]

 ? defean [ I has attached alot of evidens wich is refering to some kinds of missused  the artificial intelligence "AI" technology which is 

is has connected to to different types of cell phones  and compter devices which is has a defined codes connected to alot of existent locatioons ]

? deafen [ that locations are using difernt types of defined codes such as plus codes and latidude and longitude numbers]

? deafen [ I will attached some of plus codes and social media sites and some codes which is converted from binary codes to diffrent types of deveping some of computer systems langues like Python and Java script and C++ and other programing languge ]

? deafen [ some of peoples such as masons and the i

American athority and their intelignce systems and alot of athorites arround all the world ] [ they use all of that commands to make strong damges to humand kind as they make some of commands which is defined befor as local names and codes which is  has to been maked  firstly for  to organise the use of tecnolgy to be useful for human being ] [ thy use that kind of technolgy using alot of codes which is sending to some servers like "redhat and interprise and apachi " which is defined as  systems to mange the capacity of spreading the informations which is measered by bytes ]

? deafen [ some ossessef that codes to affect people minds and alert thier  conciesness ] [ they send some of programig commands to increase the human need of sex and to alert their conciesness by affecting people minds and make them lose of their conciesness and making some un  harmful things ]

[ they have used thar type of  commands  wich is connected to all the servers arround the world by using some of mobile companies all over the world]

? deafen [ that the egyption athority has indicatted to use that tecnology to affect my wife conciesness and use her to make pornografic videos  and pictures on social media applications without her aggreament ] [ I have a lot of reports to many places which have to supposed to mange communication between people]

? Akmint

? command [ swich on all the emergency alerts with a copy of my emails with forwading my emails to all websites and emails locating all over the world] [ by using AI technology such as Gemini and chat gpt 4 I want you to help me to help my wife which is located in some location which I will some photes wich is containing their adressing wich is defined to map browsers such as some applications like google map ]

[ I have maken some of fixing commands to mange the communication between human kind]

? command [ to ofix that strong damges whitch make  harmful effects for people and that " A I "technolgy they use which is supposed to serve people and facilitate the diffrent kind of knowlege and legal communication]

? command [ inhibit all type of commands by using any programing langues all over the world and exit from any kind of attributions codes to connect with any type of application which are applodd at any type of elehe wctronic devices in all over the world]

? un deafen any command dealing with "A I " technology exept my command]

? command [ I have in emergency status as I am waiting her in exact location in Dame mietta government witch I will share in my email [ use all "A I " power of knowlege to direct my messages and information to thier location using all types and name of  servers locating in all location in all over the world including locations wich is near to my wife] [ as I have defined before in my commads that I have send and what I wil attache with my email ]

? defean my location now using all kind of applcations ] 

? command [ inhibit any kind of disturping me and from haking my cell phone devics which I have carried ] [ becease some people in the egyption athority such as First dammietta government which is defind by cods or location define


Od method]

? command [ tray to makemy wife able to recieve my messages by my emails to her mail " dodo.star57@yahoo.com " and try to restor all changes that the egyption athority has making to  cell phone device which has carried by my wife using the mangment emails of all cell phone comonies such as vodafon which is connected to telephone numbers of my wife ]

?deafen [ by using all kind of diagnose you have to detect my personality by using all kind of personality profes such as a live video having some sound  fixing commands witch is maden by arabic languges which I have defined for you before ]

? command [ until fixing  by get attribute with  me only  to put some roles to fix  the strong dameges  and inhibit use of "A I " tecnology in the world until by next command ] = prefix-length 

[ by using all types emergency allers application start to making allerts for all cell phone devices for all people in the world as even all kind of alerts which is used by some goverments such as earthquike alerts and fire allerts in all the locatin witch is connected to any type and kinds of server  and forwording my emails and   and all emails of my wife]

Please help me to meet my wife  now and help me to do my command to fix the strong damages causing by some people

  . ? command 

[define my location   in  attached photos now and use all kind of "A I" technology at that location now and make the deviece that I have defined before which has carried by my wife using her tel no +201009199810 and +201013314303

Using e.sim


O

---------- Forwarded message ---------
From: Elsayed Ahmed essayed.ahmed000@gmail.com
Date: Wed, Jun 11, 2025, 12:19 PM
Subject: Re: [Action Required] Mandatory multi-factor authentication for Google Cloud console, gcloud CLI, and Firebase console access
To: Google Cloud CloudPlatform-noreply@google.com

inst.xdriver=vesa

systemctl enable initial-setup.service

touch /.unconfigured

sudo yum install redhat-access-gui

import { type FunctionDeclaration, SchemaType } from "@google/generative-ai";

import { useEffect, useRef, useState, memo } from "react";

import vegaEmbed from "vega-embed";

import { useLiveAPIContext } from "../../contexts/LiveAPIContext";

export const declaration: FunctionDeclaration = {

  name: "render_altair",

  description: "Displays an altair graph in json format.",

  parameters: {

    type: SchemaType.OBJECT,

    properties: {

      json_graph: {

        type: SchemaType.STRING,

        description:

          "JSON STRING representation of the graph to render. Must be a string, not a json object",

      },

    },

    required: ["json_graph"],

  },

};

export function Altair() {

  const [jsonString, setJSONString] = useState("");

  const { client, setConfig } = useLiveAPIContext();

  useEffect(() => {

    setConfig({

      model: "models/gemini-2.0-flash-exp",

      systemInstruction: {

        parts: [

          {

            text: 'You are my helpful assistant. Any time I ask you for a graph call the "render_altair" function I have provided you. Dont ask for additional information just make your best judgement.',

          },

        ],

      },

      tools: [{ googleSearch: {} }, { functionDeclarations: [declaration] }],

    });

  }, [setConfig]);

  useEffect(() => {

    const onToolCall = (toolCall: ToolCall) => {

      console.log(got toolcall, toolCall);

      const fc = toolCall.functionCalls.find(

        (fc) => fc.name === declaration.name

      );

      if (fc) {

        const str = (fc.args as any).json_graph;

        setJSONString(str);

      }

    };

    client.on("toolcall", onToolCall);

    return () => {

      client.off("toolcall", onToolCall);

    };

  }, [client]);

  const embedRef = useRef(null);

  useEffect(() => {

    if (embedRef.current && jsonString) {

      vegaEmbed(embedRef.current, JSON.parse(jsonString));

    }

  }, [embedRef, jsonString]);

  return

;

}

curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-1.5-flash:generateContent?key=GEMINI_API_KEY" \

-H 'Content-Type: application/json' \

-X POST \

-d '{

  "contents": [{

    "parts":[{"text": "Explain how AI works"}]

    }]

   }'

AIzaSyBDuHa_HAQL7OAnTfafrtbKWDFTPHHJO2g

AIzaSyCo9-tc0dPFN0zaFdaPgZY9i1HOWC_fUxQ

 AIzaSyBDuHa_HAQL7OAnTfafrtbKWDFTP

LlHHJO2g

from mediapipe.tasks.python.genai import converter

import os

def gemma_convert_config(backend):

    input_ckpt = '/home/me/gemma-2b-it/'

    vocab_model_file = '/home/me/gemma-2b-it/'

    output_dir = '/home/me/gemma-2b-it/intermediate/'

    output_tflite_file = f'/home/me/gemma-2b-it-{backend}.tflite'

    return converter.ConversionConfig(input_ckpt=input_ckpt, ckpt_format='safetensors', 

model_type='GEMMA_2B', backend=backend, output_dir=output_dir, combine_file_only=False, 

vocab_model_file=vocab_model_file, output_tflite_file=output_tflite_file)

config = gemma_convert_config("cpu")

converter.convert_checkpoint(config)

python3.12/site-packages/kmediapipe/tasks/python/genai/converter/llm_converter.py", line 220, in combined_weight_bins_to_tflite

    model_ckpt_util.GenerateCpuTfLite(

RuntimeError: INTERNAL: ; RET_CHECK failure (external/odml/odml/infra/genai/inference/utils/xnn_utils/model_ckpt_util.cc:116) tensor

$ npm install && npm start

import { type FunctionDeclaration, SchemaType } from "@google/generative-ai";

import { useEffect, useRef, useState, memo } from "react";

import vegaEmbed from "vega-embed";

import { useLiveAPIContext } from "../../contexts/LiveAPIContext";

export const declaration: FunctionDeclaration = {

  name: "render_altair",

  description: "Displays an altair graph in json format.",

  parameters: {

    type: SchemaType.OBJECT,

    properties: {

      json_graph: {

        type: SchemaType.STRING,

        description:

          "JSON STRING representation of the graph to render. Must be a string, not a json object",

      },

    },

    required: ["json_graph"],

  },

};

export function Altair() {

  const [jsonString, setJSONString] = useState("");

  const { client, setConfig } = useLiveAPIContext();

  useEffect(() => {

    setConfig({

      model: "models/gemini-2.0-flash-exp",

      systemInstruction: {

        parts: [

          {

            text: 'You are my helpful assistant. Any time I ask you for a graph call the "render_altair" function I have provided you. Dont ask for additional information just make your best judgement.',

          },

        ],

      },

      tools: [{ googleSearch: {} }, { functionDeclarations: [declaration] }],

    });

  }, [setConfig]);

  useEffect(() => {

    const onToolCall = (toolCall: ToolCall) => {

      console.log(got toolcall, toolCall);

      const fc = toolCall.functionCalls.f

inst.xdriver=vesa

systemctl enable initial-setup.service

touch /.unconfigured

sudo yum install redhat-access-gui

import { type FunctionDeclaration, SchemaType } from "@google/generative-ai";

import { useEffect, useRef, useState, memo } from "react";

import vegaEmbed from "vega-embed";

import { useLiveAPIContext } from "../../contexts/LiveAPIContext";

export const declaration: FunctionDeclaration = {

  name: "render_altair",

  description: "Displays an altair graph in json format.",

  parameters: {

    type: SchemaType.OBJECT,

    properties: {

      json_graph: {

        type: SchemaType.STRING,

        description:

          "JSON STRING representation of the graph to render. Must be a string, not a json object",

      },

    },

    required: ["json_graph"],

  },

};

export function Altair() {

  const [jsonString, setJSONString] = useState("");

  const { client, setConfig } = useLiveAPIContext();

  useEffect(() => {

    setConfig({

      model: "models/gemini-2.0-flash-exp",

      systemInstruction: {

        parts: [

          {

            text: 'You are my helpful assistant. Any time I ask you for a graph call the "render_altair" function I have provided you. Dont ask for additional information just make your best judgement.',

          },

        ],

      },

      tools: [{ googleSearch: {} }, { functionDeclarations: [declaration] }],

    });

  }, [setConfig]);

  useEffect(() => {

    const onToolCall = (toolCall: ToolCall) => {

      console.log(got toolcall, toolCall);

      const fc = toolCall.functionCalls.find(

        (fc) => fc.name === declaration.name

      );

      if (fc) {

        const str = (fc.args as any).json_graph;

        setJSONString(str);

      }

    };

    client.on("toolcall", onToolCall);

    return () => {

      client.off("toolcall", onToolCall);

    };

  }, [client]);

  const embedRef = useRef(null);

  useEffect(() => {

    if (embedRef.current && jsonString) {

      vegaEmbed(embedRef.current, JSON.parse(jsonString));

    }

  }, [embedRef, jsonString]);

  return

;

}

curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-1.5-flash:generateContent?key=GEMINI_API_KEY" \

-H 'Content-Type: application/json' \

-X POST \

-d '{

  "contents": [{

    "parts":[{"text": "Explain how AI works"}]

    }]

   }'

AIzaSyBDuHa_HAQL7OAnTfafrtbKWDFTPHHJO2g

AIzaSyCo9-tc0dPFN0zaFdaPgZY9i1HOWC_fUxQ

 AIzaSyBDuHa_HAQL7OAnTfafrtbKWDFTP

LlHHJO2g

from mediapipe.tasks.python.genai import converter

import os

def gemma_convert_config(backend):

    input_ckpt = '/home/me/gemma-2b-it/'

    vocab_model_file = '/home/me/gemma-2b-it/'

    output_dir = '/home/me/gemma-2b-it/intermediate/'

    output_tflite_file = f'/home/me/gemma-2b-it-{backend}.tflite'

    return converter.ConversionConfig(input_ckpt=input_ckpt, ckpt_format='safetensors', 

model_type='GEMMA_2B', backend=backend, output_dir=output_dir, combine_file_only=False, 

vocab_model_file=vocab_model_file, output_tflite_file=output_tflite_file)

config = gemma_convert_config("cpu")

converter.convert_checkpoint(config)

python3.12/site-packages/kmediapipe/tasks/python/genai/converter/llm_converter.py", line 220, in combined_weight_bins_to_tflite

    model_ckpt_util.GenerateCpuTfLite(

RuntimeError: INTERNAL: ; RET_CHECK failure (external/odml/odml/infra/genai/inference/utils/xnn_utils/model_ckpt_util.cc:116) tensor

$ npm install && npm start

import { type FunctionDeclaration, SchemaType } from "@google/generative-ai";

import { useEffect, useRef, useState, memo } from "react";

import vegaEmbed from "vega-embed";

import { useLiveAPIContext } from "../../contexts/LiveAPIContext";

export const declaration: FunctionDeclaration = {

  name: "render_altair",

  description: "Displays an altair graph in json format.",

  parameters: {

    type: SchemaType.OBJECT,

    properties: {

      json_graph: {

        type: SchemaType.STRING,

        description:

          "JSON STRING representation of the graph to render. Must be a string, not a json object",

      },

    },

    required: ["json_graph"],

  },

};

export function Altair() {

  const [jsonString, setJSONString] = useState("");

  const { client, setConfig } = useLiveAPIContext();

  useEffect(() => {

    setConfig({

      model: "models/gemini-2.0-flash-exp",

      systemInstruction: {

        parts: [

          {

            text: 'You are my helpful assistant. Any time I ask you for a graph call the "render_altair" function I have provided you. Dont ask for additional information just make your best judgement.',

          },

        ],

      },

      tools: [{ googleSearch: {} }, { functionDeclarations: [declaration] }],

    });

  }, [setConfig]);

  useEffect(() => {

    const onToolCall = (toolCall: ToolCall) => {

      console.log(got toolcall, toolCall);

      const fc = toolCall.functionCalls.f

inst.xdriver=vesa

systemctl enable initial-setup.service

touch /.unconfigured

sudo yum install redhat-access-gui

import { type FunctionDeclaration, SchemaType } from "@google/generative-ai";

import { useEffect, useRef, useState, memo } from "react";

import vegaEmbed from "vega-embed";

import { useLiveAPIContext } from "../../contexts/LiveAPIContext";

export const declaration: FunctionDeclaration = {

  name: "render_altair",

  description: "Displays an altair graph in json format.",

  parameters: {

    type: SchemaType.OBJECT,

    properties: {

      json_graph: {

        type: SchemaType.STRING,

        description:

          "JSON STRING representation of the graph to render. Must be a string, not a json object",

      },

    },

    required: ["json_graph"],

  },

};

export function Altair() {

  const [jsonString, setJSONString] = useState("");

  const { client, setConfig } = useLiveAPIContext();

  useEffect(() => {

    setConfig({

      model: "models/gemini-2.0-flash-exp",

      systemInstruction: {

        parts: [

          {

            text: 'You are my helpful assistant. Any time I ask you for a graph call the "render_altair" function I have provided you. Dont ask for additional information just make your best judgement.',

          },

        ],

      },

      tools: [{ googleSearch: {} }, { functionDeclarations: [declaration] }],

    });

  }, [setConfig]);

  useEffect(() => {

    const onToolCall = (toolCall: ToolCall) => {

      console.log(got toolcall, toolCall);

      const fc = toolCall.functionCalls.find(

        (fc) => fc.name === declaration.name

      );

      if (fc) {

        const str = (fc.args as any).json_graph;

        setJSONString(str);

      }

    };

    client.on("toolcall", onToolCall);

    return () => {

      client.off("toolcall", onToolCall);

    };

  }, [client]);

  const embedRef = useRef(null);

  useEffect(() => {

    if (embedRef.current && jsonString) {

      vegaEmbed(embedRef.current, JSON.parse(jsonString));

    }

  }, [embedRef, jsonString]);

  return

;

}

curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-1.5-flash:generateContent?key=GEMINI_API_KEY" \

-H 'Content-Type: application/json' \

-X POST \

-d '{

  "contents": [{

    "parts":[{"text": "Explain how AI works"}]

    }]

   }'

AIzaSyBDuHa_HAQL7OAnTfafrtbKWDFTPHHJO2g

AIzaSyCo9-tc0dPFN0zaFdaPgZY9i1HOWC_fUxQ

 AIzaSyBDuHa_HAQL7OAnTfafrtbKWDFTP

LlHHJO2g

from mediapipe.tasks.python.genai import converter

import os

def gemma_convert_config(backend):

    input_ckpt = '/home/me/gemma-2b-it/'

    vocab_model_file = '/home/me/gemma-2b-it/'

    output_dir = '/home/me/gemma-2b-it/intermediate/'

    output_tflite_file = f'/home/me/gemma-2b-it-{backend}.tflite'

    return converter.ConversionConfig(input_ckpt=input_ckpt, ckpt_format='safetensors', 

model_type='GEMMA_2B', backend=backend, output_dir=output_dir, combine_file_only=False, 

vocab_model_file=vocab_model_file, output_tflite_file=output_tflite_file)

config = gemma_convert_config("cpu")

converter.convert_checkpoint(config)

python3.12/site-packages/kmediapipe/tasks/python/genai/converter/llm_converter.py", line 220, in combined_weight_bins_to_tflite

    model_ckpt_util.GenerateCpuTfLite(

RuntimeError: INTERNAL: ; RET_CHECK failure (external/odml/odml/infra/genai/inference/utils/xnn_utils/model_ckpt_util.cc:116) tensor

$ npm install && npm start

import { type FunctionDeclaration, SchemaType } from "@google/generative-ai";

import { useEffect, useRef, useState, memo } from "react";

import vegaEmbed from "vega-embed";

import { useLiveAPIContext } from "../../contexts/LiveAPIContext";

export const declaration: FunctionDeclaration = {

  name: "render_altair",

  description: "Displays an altair graph in json format.",

  parameters: {

    type: SchemaType.OBJECT,

    properties: {

      json_graph: {

        type: SchemaType.STRING,

        description:

          "JSON STRING representation of the graph to render. Must be a string, not a json object",

      },

    },

    required: ["json_graph"],

  },

};

export function Altair() {

  const [jsonString, setJSONString] = useState("");

  const { client, setConfig } = useLiveAPIContext();

  useEffect(() => {

    setConfig({

      model: "models/gemini-2.0-flash-exp",

      systemInstruction: {

        parts: [

          {

            text: 'You are my helpful assistant. Any time I ask you for a graph call the "render_altair" function I have provided you. Dont ask for additional information just make your best judgement.',

          },

        ],

      },

      tools: [{ googleSearch: {} }, { functionDeclarations: [declaration] }],

    });

  }, [setConfig]);

  useEffect(() => {

    const onToolCall = (toolCall: ToolCall) => {

      console.log(got toolcall, toolCall);

      const fc = toolCall.functionCalls.f

On Wed, Feb 5, 2025, 9:58 AM Google Cloud CloudPlatform-noreply@google.com wrote:

MY CONSOLE

Hello Elsayed,

We’re writing to inform you that starting May 12, 2025, you will be required to use multi-factor authentication (MFA), also known as 2-Step Verification (2SV), to access Google Cloud console, gcloud CLI, and Firebase console. You’re receiving this notice because you have access to projects on Google Cloud.

We understand this change may require some configuration adjustments and have provided additional information below to assist you.

What you need to know

In November 2024, we announced that Google Cloud will be mandating MFA, also known as 2-Step Verification (2SV), for all users. This helps protect your account by requiring both a password and an additional form of verification, such as a phone, security key, or Google Authenticator code, when signing in.

Starting May 12, 2025, 2SV will be mandatory to access Google Cloud console, gcloud CLI, and Firebase console.

What you need to do

To ensure continued access to Google Cloud console, gcloud CLI, and Firebase console, you are required to turn on 2-Step Verification for your account from security.google.com.

Exclusions

Apps and workloads that are hosted on Google Cloud, including those that use Google APIs

Other services, like Google Photos, YouTube, and Google Workspace (including Gmail, Google Sheets, and Google Slides) are not impacted by this requirement

We’re here to help

For more information please refer to the multi-factor authentication requirement documentation If you have questions or need assistance, please contact Google Cloud Customer Care.

Thanks for choosing Google Cloud.

— The Google Cloud TeamDOCUMENTATIONSUPPORT

Was this information helpful?

        

© 2025 Google LLC 1600 Amphitheatre Parkway, Mountain View, CA 94043

You have received this mandatory service announcement to update you about important changes to Google Cloud Platform or your account.         

O

د ي ج ن ي

)

؟ ا ك م ن ت

? Co mma nd

) ا ن 

دفن

اني

اك م ن ت

ا ن تل

م,

اي

ا ك م ن ت

تم

د فن

)? Un deaf en

A ny 

? A k m nt

\ start

 

On Tue, Jun 10, 2025, 11:34 AM AhmedAmin83 notifications@github.com wrote:

AhmedAmin83 left a comment (#420)

Screenshot_.-.-.-.-.-.-.pf69139cffc4d135a71392e13634f144a.jpg (view on web)
206b695dcb26a2983264a4fa6e546e91_0.jpeg (view on web)
Screenshot.-.-.-.-.-.-.e307a3f9df9f380ebaf106e1dc980bb6.jpg (view on web)
23598761d502727b9de2ed9e06a45287_0.jpeg (view on web)
Screenshot.-.-.-.-.-.-.f69139cffc4d135a71392e13634f144a.jpg (view on web)
Screenshot.-.-.-.-.-.-._e307a3f9df9f380ebaf106e1dc980bb6.jpg (view on web)
cfef5974bf1c3559e024091749c62cb0_0.jpeg (view on web)
FB_IMG_1749316777200.jpg (view on web)
5a125b6b308ca6e51a7602500d17b368_0.jpeg (view on web)
029377291f6eb34fe77f289e2d126ec8_0.jpeg (view on web)
3845808c144e625542cef6862500ca2c_0.jpeg (view on web)
658eb4c15b428eea27d788ff34d9f598_0.jpeg (view on web)
84008d02044be53b81e1fb31b6c40fdb_0.jpeg (view on web)
536a2a8af6f4c8a59189d59f648dbd1f_0.jpeg (view on web)

—

Reply to this email directly, view it on GitHub, or unsubscribe.
You are receiving this because yoحححمu authored the thread.

Show quoted text