contactId = ifnull(meeting_rec.get("Who_Id"),{"id":null}).get("id");

<div id="lottie-container">
    <lottie-player 
        id="lottie-animation" 
        src="https://euno.ai/wp-content/uploads/2024/12/lottie.json" 
        background="transparent" 
        speed="1" 
        style="width: 100%;"
    ></lottie-player>
</div>
<script src="https://unpkg.com/@lottiefiles/lottie-player@latest/dist/lottie-player.js"></script>
<script>
document.addEventListener('DOMContentLoaded', function() {
    const player = document.querySelector('#lottie-animation');
    const buttons = document.querySelectorAll('.btn[data-part]');
    
    let currentSegment = null;
    let isFirstLoad = true;
    let lottieAnim = null;
    let segments = null;
    
    // Configuration de base
    player.loop = false;
    player.autoplay = false;
    player.mode = "normal";
    
    function initSegments() {
        const totalFrames = lottieAnim.totalFrames;
        const segmentLength = Math.floor(totalFrames / 3);
        
        segments = {
            '1': { start: 0, end: segmentLength - 1 },
            '2': { start: segmentLength, end: segmentLength * 2 - 1 },
            '3': { start: segmentLength * 2, end: totalFrames - 1 }
        };
        
        console.log('Initialisation des segments:', {
            totalFrames,
            segmentLength,
            segments
        });
    }
    
    function updateProgress(segmentPart, progress) {
        const button = Array.from(buttons).find(btn => btn.dataset.part === segmentPart);
        if (!button) return;
        
        const progressBar = button.querySelector('.progress-bar');
        const btnTitle = button.querySelector('.btn-title');
        const btnText = button.querySelector('.btn-text');
        
        if (progressBar) {
            progressBar.style.height = `${progress}%`;
        }
        
        if (progress > 0) {
            if (btnTitle) btnTitle.style.color = '#0A225C';
            if (btnText) btnText.style.color = '#0A225C';
        } else {
            if (btnTitle) btnTitle.style.removeProperty('color');
            if (btnText) btnText.style.removeProperty('color');
        }
    }
    
    function playSegment(part) {
        if (!lottieAnim) {
            lottieAnim = player.getLottie();
            initSegments();
        }
        
        console.log('=== Démarrage segment ===', part);
        currentSegment = part;
        const segment = segments[part];
        
        // Reset des progress bars
        buttons.forEach(btn => {
            updateProgress(btn.dataset.part, 0);
        });
        
        // Configuration du segment
        const fromFrame = segment.start;
        const toFrame = segment.end;
        
        console.log('Lecture segment:', {
            part,
            de: fromFrame,
            à: toFrame
        });
        
        // Force l'arrêt de l'animation en cours
        player.stop();
        
        // Configure et joue le segment spécifique
        player.seek(fromFrame);
        player.setLooping(false);
        lottieAnim.playSegments([fromFrame, toFrame], true);
    }
    
    function calculateProgress(currentFrame, segment) {
        const duration = segment.end - segment.start;
        const position = currentFrame - segment.start;
        const progress = (position / duration) * 100;
        
        console.log('Calcul progression:', {
            frame: currentFrame,
            start: segment.start,
            position,
            progress: progress.toFixed(2)
        });
        
        return Math.min(100, Math.max(0, progress));
    }
    
    // Event de mise à jour des frames
    player.addEventListener('frame', () => {
        if (!currentSegment || !segments || !lottieAnim) return;
        
        const frame = lottieAnim.currentFrame;
        const segment = segments[currentSegment];
        
        if (frame >= segment.start && frame <= segment.end) {
            const progress = calculateProgress(frame, segment);
            updateProgress(currentSegment, progress);
        }
    });
    
    // Gestion des clics sur les boutons
    buttons.forEach(button => {
        button.addEventListener('click', function() {
            playSegment(this.dataset.part);
        });
    });
    
    // Gestion de la fin d'animation
    player.addEventListener('complete', () => {
        console.log('=== Fin de segment ===', currentSegment);
        updateProgress(currentSegment, 100);
        
        const nextPart = String(parseInt(currentSegment) + 1);
        if (nextPart <= 3) {
            setTimeout(() => {
                playSegment(nextPart);
            }, 100);
        }
    });
    
    // Observer pour l'autoplay
    const observer = new IntersectionObserver(
        (entries) => {
            entries.forEach(entry => {
                if (entry.isIntersecting && isFirstLoad) {
                    isFirstLoad = false;
                    setTimeout(() => {
                        playSegment('1');
                    }, 100);
                }
            });
        },
        { threshold: 0.1 }
    );
    
    observer.observe(player);
});
</script>

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​

Creating your own self-signed kernel for use with Coreboot (open-source firmware) involves building Coreboot, signing it with your own key, and ensuring it works with your target device. Below is a step-by-step breakdown to create and sign your custom kernel with Coreboot.

Prerequisites
	1.	Hardware and Firmware Understanding: Familiarity with firmware flashing, Linux terminal, and Coreboot basics.
	2.	Tools:
	•	A Linux machine (or a virtual machine).
	•	A Chromebook or a device compatible with Coreboot.
	•	cbfstool, coreboot_util, and openssl (installable on Linux systems).
	3.	Build Environment:
	•	A working Coreboot source tree (cloned from Coreboot’s GitHub).
	•	Required dependencies for building Coreboot (varies by distribution).
	4.	Private and Public Keys: You’ll generate these for signing your kernel.

Step-by-Step Instructions

Step 1: Clone Coreboot Repository

git clone https://github.com/coreboot/coreboot.git
cd coreboot

Step 2: Set Up the Build Environment

Run the Coreboot dependency script to set up your environment:

sudo apt update
sudo apt install git build-essential bison flex libncurses5-dev \
  zlib1g-dev libpci-dev libelf-dev libssl-dev bc

Use the Coreboot-provided buildgcc script:

cd util/crossgcc
make -j$(nproc)
cd ../..

Step 3: Configure Coreboot

Use make menuconfig to configure the Coreboot build:

make menuconfig

	1.	Target Device: Select your specific mainboard.
	2.	Payload: Choose a payload such as GRUB or SeaBIOS.
	3.	Signature Options: Enable support for verified boot and signing if your target supports it.

Save your configuration when done.

Step 4: Build Coreboot

Build Coreboot using:

make -j$(nproc)

The resulting firmware image will be in the build/ directory as coreboot.rom.

Step 5: Generate Keys

Generate your private and public keys using openssl:

openssl genrsa -out private_key.pem 2048
openssl rsa -in private_key.pem -pubout -out public_key.pem

Step 6: Sign the Kernel

Use cbfstool to add and sign your kernel:
	1.	Insert Your Kernel (vmlinuz) into Coreboot:
	•	Replace <path_to_kernel> with the path to your Linux kernel image.

cbfstool build/coreboot.rom add -f <path_to_kernel> -n kernel -t raw


	2.	Sign the Kernel:
	•	Create a signature:

openssl dgst -sha256 -sign private_key.pem -out kernel.sig <path_to_kernel>


	•	Add the signature to the Coreboot image:

cbfstool build/coreboot.rom add -f kernel.sig -n kernel.sig -t raw

Step 7: Flash Coreboot

Flash the firmware onto your target device. Use a supported flasher tool such as flashrom:

sudo flashrom -p internal -w build/coreboot.rom

	Note: Some devices require hardware flashing with an external programmer.

Tips and Considerations
	1.	Test on a Spare Device: Always test your Coreboot build on a non-critical device to avoid bricking your main system.
	2.	Enable Recovery Options: Ensure your Coreboot configuration includes recovery options like fallback payloads or recovery firmware.
	3.	Back Up Current Firmware: Use flashrom to back up your existing firmware before flashing Coreboot:

sudo flashrom -p internal -r backup.rom

Troubleshooting
	•	If the device doesn’t boot, check your menuconfig settings, kernel compatibility, and payload integration.
	•	Use the Coreboot IRC channel or forums for specific hardware issues.

Let me know if you need further guidance on any step!

/* Hide scrollbar for Chrome, Safari, and Opera */
html::-webkit-scrollbar {
    display: none;
}

/* Hide scrollbar for IE, Edge, and Firefox */
html {
    -ms-overflow-style: none;  /* IE and Edge */
    scrollbar-width: none;  /* Firefox */
}

/* Ensure scrolling still works on Safari (iOS and macOS) */
html {
    -webkit-overflow-scrolling: touch; /* Smooth scrolling on iOS */
    overflow: auto; /* Ensure scrolling is enabled */
}

const storage = multer.diskStorage({
  destination: function (req, file, cb) {
    cb(null, '/tmp/my-uploads')
  },
  filename: function (req, file, cb) {
    const uniqueSuffix = Date.now() + '-' + Math.round(Math.random() * 1E9)
    cb(null, file.fieldname + '-' + uniqueSuffix)
  }
})

const upload = multer({ storage: storage })

import Subsonic
import SwiftUI

struct ContentView: View {
    let names = ["Jingle", "Mathys"]
    
    var body: some View {
        NavigationView {
            ScrollView{
                
                    ForEach(names, id: \.self) {name in
                        Button {
                            play(sound: "\(name).m4a")
                        } label: {
                            Image(name)
                                .resizable()
                                .scaledToFit()
                                .cornerRadius(25)
                                .padding(.horizontal)
                        }
                        
                    }
            }
            .navigationTitle("Friend Smile")
        }
        .navigationViewStyle(.stack)
    }
}

from typing import Any, Dict, List, Tuple, Union

from cachetools import TTLCache
from elasticsearch import ConnectionError, ConnectionTimeout, NotFoundError, helpers

from recs_delta_feed_processor.common.app_settings import AppSettings
from recs_delta_feed_processor.common.helpers import current_milli_time
from recs_delta_feed_processor.common.logging_config import Logger
from recs_delta_feed_processor.common.metrics import (
    elasticsearch_bulk,
    elasticsearch_bulk_res,
    elasticsearch_create_action,
    index_mapping,
)
from recs_delta_feed_processor.serDe.delta_update_builder import DatafeedsDeltaApiAction

logger = Logger(settings=AppSettings(), name=__name__).logger

mapping_cache: TTLCache[str, Any] = TTLCache(maxsize=1500, ttl=180)


class ElasticsearchManager:
    def __init__(self, connections, settings):
        self.es_client = connections.es_client
        self.settings = settings

    def update_elasticsearch(
        self, batch: List[Dict[str, Any]]
    ) -> List[Tuple[Dict[str, Any], Dict[str, Any]]]:
        response_array = []
        actions = []

        # Step 1: Prepare actions and handle exceptions during creation
        for message in batch:
            item_id = message.get("itemId")
            section_id = message.get("sectionId")
            timestamp = message.get("timestamp")
            response_key = f"{item_id}-{section_id}-{timestamp}"
            try:
                action = self.create_action(message)
                actions.append(action)
                # Map action's unique identifier (itemId) to its message
                response_array.append({"message": message})
                elasticsearch_create_action.labels("success").inc()
            except ConnectionTimeout:
                raise
            except ConnectionError:
                raise
            except NotFoundError as e:
                elasticsearch_create_action.labels("index_not_found").inc()
                response_array.append(self.build_create_action_error(
                    item_id, section_id, getattr(e, "status_code"), e.message
                ))
                logger.exception(
                    "index not found", extra={"section_id": section_id, "sku": item_id}
                )
            except Exception as e:
                elasticsearch_create_action.labels("create_action_failed").inc()
                response_array.append(self.build_create_action_error(
                    item_id, section_id, 0, str(e)
                ))
                logger.exception(
                    "Error creating action",
                    extra={"section_id": section_id, "sku": item_id},
                )

        # Step 2: Execute bulk request
        bulk_start = current_milli_time()
        try:
            logger.info("Executing ES bulk request", extra={"size": len(actions)})
            logger.debug(f"Bulk request prepared: {actions}")
            i = 0
            for success, result in helpers.streaming_bulk(
                client=self.es_client,
                actions=actions,
                initial_backoff=self.settings.es_initial_backoff,
                max_backoff=self.settings.es_max_backoff,  # maximum number of seconds a retry will wait
                retry_on_status=[408, 429, 503, 504],
                max_retries=self.settings.es_max_retries,
                raise_on_error=False,
            ):
                # Extract the document ID from the response
                update_response: Union[Dict[str, Any], Any] = next(
                    iter(result.values()), {}
                )
                item_id = update_response.get("_id")
                action_res = update_response.get("result", None)
                index = update_response.get("_index", None)
                while i < len(response_array) and response_array[i].get("response") is not None:
                    i += 1

                if success or action_res == "noop" or action_res == "not_found":
                    response_array[i]["response"] = update_response
                else:
                    response_array[i]["response"] = {
                        "error": f"Failed transaction occurred for event {update_response.get("itemAction")}"
                    }
                elasticsearch_bulk_res.labels(index, action_res).inc()
            elasticsearch_bulk.labels("success").observe(
                current_milli_time() - bulk_start
            )
            logger.info("finished indexing ES", extra={"size": len(actions)})

        except ConnectionError as _ce:
            elasticsearch_bulk.labels("connection_error").observe(
                current_milli_time() - bulk_start
            )
            logger.exception("Connection error with Elasticsearch during bulk request")
            raise

        # # Step 3: Pair original messages with responses
        result = []
        for row in response_array:
            result.append((row["message"], row["response"]))

        return result

    def create_action(self, message: Dict[str, Any]) -> DatafeedsDeltaApiAction:
        action = DatafeedsDeltaApiAction.convert_message(message)
        mapping = self.get_index_mapping(action.build_index_name(action.section_id))
        return action.build_request(mapping)

    @staticmethod
    def build_create_action_error(item_id, section_id, status, error_message):
        return {
            "response": {
                "id_": item_id,
                "_index": f"products_{section_id}_sync",
                "status": status,
                "result": error_message or "",
            }
        }

    def get_index_mapping(self, index_alias: str) -> Dict[str, Any]:
        """
        Get the index mapping for a given index alias, using the cache to store mappings.

        :param index_alias: The alias of the index to get the mapping for.
        :return: The index mapping as a dictionary.
        """
        logger.info(
            "Getting index mapping for alias", extra={"index_alias": index_alias}
        )
        if index_alias in mapping_cache:
            logger.debug(f"Returning cached mapping for alias: {index_alias}")
            index_mapping.labels("cache_hit").inc()
            return mapping_cache[index_alias]

        logger.debug(f"Fetching mapping for alias: {index_alias} from Elasticsearch")
        try:
            response = self.es_client.indices.get_mapping(index=index_alias)
            logger.debug(f"ES mapping response: {response}")
            mapping = self.parse_es_mapping_response(response)
            mapping_cache[index_alias] = mapping
            index_mapping.labels("cache_miss").inc()
            return mapping
        except ConnectionError as _ce:
            logger.exception(
                "Connection error with Elasticsearch",
                extra={"index_alias": index_alias},
            )
            index_mapping.labels("connection_error").inc()
            raise
        except Exception:
            logger.exception(
                "Error fetching mapping for alias", extra={"index_alias": index_alias}
            )
            index_mapping.labels("error").inc()
            raise

    @staticmethod
    def parse_es_mapping_response(response: dict) -> dict:
        try:
            index_name = next(iter(response))

            mappings = response[index_name].get("mappings")
            if not mappings:
                logger.error(
                    "No mappings found for index", extra={"index_name": index_name}
                )
                return {}

            return mappings
        except StopIteration:
            logger.exception("The mapping response is empty")
            return {}
        except KeyError:
            logger.exception("Key error")
            return {}
        except Exception:
            logger.exception("An unexpected error occurred")
            return {}

[ExtensionOf(classStr(LedgerFiscalJournalController_IT))]
final class DVLedgerFiscalJournalController_IT_Extension
{
    public SRSCatalogItemName parmReportName(SRSCatalogItemName _reportName)
    {
        SRSCatalogItemName ret = next parmReportName(_reportName);
        
        //Report name fixed to custom report
        reportName = ssrsReportStr(DVLedgerFiscalJournal_IT, Report); //Thid code override the standard report with the new custom report "DVLedgerFiscalJournal_IT"
        return reportName;
    }
}

<!-- Include Splide CSS -->
<link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/@splidejs/splide@4.1.4/dist/css/splide.min.css">

<!-- Splide JS Markup -->
  
<div class="splide">
    <div class="splide__track">
        <div class="splide__list">
            <div class="splide__slide"></div>
        </div>
    </div>
</div>
<!-- Include Splide JS -->
<script src="https://cdn.jsdelivr.net/npm/@splidejs/splide@4.1.4/dist/js/splide.min.js"></script>

<!-- Initialize Splide -->
<script>
document.addEventListener('DOMContentLoaded', function() {
  new Splide('.splide', {
    type: 'slide',
    perPage: 4,
    //perMove: 1,
    gap: '0',
    pagination: false,
    arrows: false,
    drag: true,
    breakpoints: {
      1024: {
        perPage: 3,
      },
      768: {
        perPage: 2,
      },
      480: {
        perPage: 1,
      }
    }
  }).mount();
});
</script>

1 node(s) had untolerated taint {component: ma-access}, 2 node(s) had untolerated taint {component: karpenter},  │
│ 2 node(s) had untolerated taint {component: kube-system}, 2 node(s) had untolerated taint {component: spark}, 3 node(s) had untolerated taint {component: cassandra-ucp}, 3 node(s) had untolerated taint {comp │
│ onent: default-arm64}, 3 node(s) had untolerated taint {component: tracing}, 4 node(s) had untolerated taint {component: on-demand}, 5 node(s) had untolerated taint {component: gpu}, 62 node(s) didn't match  │
│ Pod's node affinity/selector. preemption: 0/87 nodes are available: 87 Preemption is not helpful for scheduling..                                                                                               │
│   Warning  FailedScheduling  2m26s (x5 over 22m)  karpenter          Failed to schedule pod, incompatible with nodepool "tracing", daemonset overhead={"cpu":"379m","memory":"509Mi","pods":"6"}, did not toler │
│ ate component=tracing:NoExecute; incompatible with nodepool "spark-audience-with-storage", daemonset overhead={"cpu":"379m","memory":"509Mi","pods":"6"}, did not tolerate component=spark-audience-with-storag │
│ e:NoExecute; incompatible with nodepool "spark-audience", daemonset overhead={"cpu":"379m","memory":"509Mi","pods":"6"}, did not tolerate component=spark-audience:NoExecute; incompatible with nodepool "spark │
│ ", daemonset overhead={"cpu":"379m","memory":"509Mi","pods":"6"}, did not tolerate component=spark:NoExecute; incompatible with nodepool "prometheus-ec2", daemonset overhead={"cpu":"379m","memory":"509Mi","p │
│ ods":"6"}, did not tolerate component=prometheus-ec2:NoExecute; incompatible with nodepool "prometheus", daemonset overhead={"cpu":"379m","memory":"509Mi","pods":"6"}, did not tolerate component=prometheus:N │
│ oExecute; incompatible with nodepool "on-demand-jobs", daemonset overhead={"cpu":"379m","memory":"509Mi","pods":"6"}, did not tolerate component=on-demand-jobs:NoExecute; incompatible with nodepool "on-deman │
│ d", daemonset overhead={"cpu":"379m","memory":"509Mi","pods":"6"}, did not tolerate component=on-demand:NoExecute; incompatible with nodepool "ma-access", daemonset overhead={"cpu":"379m","memory":"509Mi","p │
│ ods":"6"}, did not tolerate component=ma-access:NoExecute; incompatible with nodepool "kube-system", daemonset overhead={"cpu":"379m","memory":"509Mi","pods":"6"}, did not tolerate component=kube-system:NoEx │
│ ecute; incompatible with nodepool "gpu", daemonset overhead={"cpu":"479m","memory":"637Mi","pods":"7"}, did not tolerate component=gpu:NoExecute; incompatible with nodepool "elasticsearch", daemonset overhea │
│ d={"cpu":"379m","memory":"509Mi","pods":"6"}, no instance type satisfied resources {"cpu":"15479m","memory":"27901Mi","pods":"7"} and requirements component In [elasticsearch], karpenter.k8s.aws/instance-fam │
│ ily In [c5 c5a c5ad c5d c5n and 20 others], karpenter.k8s.aws/instance-size In [10xlarge 2xlarge 4xlarge 8xlarge 9xlarge and 1 others], karpenter.sh/capacity-type In [on-demand spot], karpenter.sh/nodepool I │
│ n [elasticsearch], kubernetes.io/arch In [amd64], kubernetes.io/os In [linux], node.kubernetes.io/instance-type In [c5.4xlarge c5a.4xlarge c6i.4xlarge], topology.kubernetes.io/zone In [us-east-1c] (no instan │
│ ce type which had enough resources and the required offering met the scheduling requirements); incompatible with nodepool "default-arm64", daemonset overhead={"cpu":"379m","memory":"509Mi","pods":"6"}, did n │
│ ot tolerate component=default-arm64:NoExecute; incompatible with nodepool "default", daemonset overhead={"cpu":"414m","memory":"629Mi","pods":"7"}, incompatible requirements, key component, component In [ela │
│ ticsearch[] not in component In [default]; incompatible with nodepool "cassandra-ucp", daemonset overhead={"cpu":"379m","memory":"509Mi","pods":"6"}, did not tolerate component=cassandra-ucp:NoExecute

//Write a program to reverse an array using pointers.
#include <stdio.h>

void reverseArray(int *arr, int size) {
    int *start = arr;
    int *end = arr + size - 1;
    int temp;

    // Swap elements using pointers
    while (start < end) {
        temp = *start;
        *start = *end;
        *end = temp;

        start++;
        end--;
    }
}

int main() {
    int arr[] = {1, 2, 3, 4, 5};
    int size = sizeof(arr) / sizeof(arr[0]);

    printf("Original Array: ");
    for (int i = 0; i < size; i++) {
        printf("%d ", arr[i]);
    }
    printf("\n");

    reverseArray(arr, size);

    printf("Reversed Array: ");
    for (int i = 0; i < size; i++) {
        printf("%d ", arr[i]);
    }
    printf("\n");

    return 0;
}

}
justify-content: flex-end

}
justify-content: center

}
justify-content: space-around

}
justify-content:space-between

}
align-items: flex-end

}
justify-content: center;
align-items: center

}
justify-content: space-around;
align-items: flex-end

}
flex-direction:row-reverse

}
flex-direction: column

}
flex-direction: row-reverse;
justify-content:flex-end

}
flex-direction: column;
justify-content:flex-end

}
flex-direction:column-reverse;
justify-content:space-between

}
flex-direction:row-reverse;
justify-content: center;
align-items:flex-end;

}
order:2

}
order:-1

}
align-self:flex-end

#pond {
  display: flex;
order:3;
align-self:flex-end

}
flex-wrap: wrap

#include <stdio.h>
#include <stdlib.h>

int main() {
    int rows = 3, cols = 3;

    // Allocate memory for a 2D array using a pointer to an array
    int (*arr)[cols] = (int (*)[cols])malloc(rows * cols * sizeof(int));

    if (arr == NULL) {
        printf("Memory allocation failed\n");
        return 1;
    }

    // Initialize the array
    int value = 1;
    for (int i = 0; i < rows; i++) {
        for (int j = 0; j < cols; j++) {
            arr[i][j] = value++;
        }
    }

    // Access elements
    printf("Accessing dynamically allocated 2D array using pointer to an array:\n");
    for (int i = 0; i < rows; i++) {
        for (int j = 0; j < cols; j++) {
            printf("%d ", arr[i][j]);
        }
        printf("\n");
    }

    // Free memory
    free(arr);

    return 0;
}

Please start the Screaming Frog SEO Spider, then in the top navigation click on 'Licence', followed by 'Enter Licence...' and insert the following details:
 
Username: fhsites15
Licence Key: 584BEBD129-1763856000-9E287F165A
 
Click OK.  You will then need to close and reopen the Screaming Frog SEO Spider before the crawl limits are removed and the configuration options are accessible.
 
Please note your licence key will expire on: 23 November 2025 GMT.

<FilesMatch "xmlrpc\.php$">
    <IfModule mod_authz_core.c>
        Require all denied
    </IfModule>
    <IfModule !mod_authz_core.c>
        Deny from all
    </IfModule>
</FilesMatch>

# BEGIN LSCACHE
## LITESPEED WP CACHE PLUGIN - Do not edit the contents of this block! ##
<IfModule LiteSpeed>
RewriteEngine on
CacheLookup on
RewriteRule .* - [E=Cache-Control:no-autoflush]
RewriteRule litespeed/debug/.*\.log$ - [F,L]
RewriteRule \.litespeed_conf\.dat - [F,L]
RewriteRule ^xmlrpc\.php$ - [F,L]


Function.php

// Disable XML-RPC functionality
add_filter('xmlrpc_enabled', '__return_false');

// Disable X-Pingback HTTP Header
add_filter('wp_headers', function($headers) {
    unset($headers['X-Pingback']);
    return $headers;
});

// Disable XML-RPC methods from being accessible
add_filter('xmlrpc_methods', function($methods) {
    return [];
});

// Prevent direct access to xmlrpc.php
add_action('init', function() {
    if (isset($_SERVER['REQUEST_URI']) && strpos($_SERVER['REQUEST_URI'], 'xmlrpc.php') !== false) {
        wp_die('Access denied', 'Error', ['response' => 403]);
    }
});

// Disable WP REST API by users - hide user names
add_filter( 'rest_endpoints', function( $endpoints ){
    if ( isset( $endpoints['/wp/v2/users'] ) ) {
        unset( $endpoints['/wp/v2/users'] );
    }
    if ( isset( $endpoints['/wp/v2/users/(?P<id>[\d]+)'] ) ) {
        unset( $endpoints['/wp/v2/users/(?P<id>[\d]+)'] );
    }
    return $endpoints;
});

<script type="text/javascript">
  jQuery(document).ready(function($){
    fhScript= document.createElement('script');
    fhScript.src = "https://fareharbor.com/embeds/api/v1/?autolightframe=yes";
    $('body').append(fhScript);
  });
</script>

This does not fall under the responsibilities of the FH integration team, as it is unrelated to our integration and it's up to the client to keep content updated on their website. 
I’ve made the updates; please inform the client that this is an exception.

CODA LICENSE NUMBER


PEGA-LATA-M5PV-FFFD-CLAT-A

{if isset($product_manufacturer->id)}
    <div class="prod-manufacturer">
      {if isset($manufacturer_image_url)}
        <a href="{$product_brand_url}">
          <img src="{$manufacturer_image_url}" class="img img-fluid manufacturer-logo" alt="{$product_manufacturer->name}" loading="lazy">
            </a>
    {else}                
      <span>
        <a href="{$product_brand_url}">{$product_manufacturer->name}</a>
     </span>
     {/if}
      </div>
{/if}

import speech_recognition as sr
from googletrans import Translator
from gtts import gTTS
import os

The Kumbh Mela is one of the largest religious gatherings in the world, held in India. It is a major Hindu pilgrimage and festival where crores of devotees gather to bathe in sacred rivers, believing it will cleanse them of sins and lead to salvation.

The festival takes place every 12 years, rotating among four locations:

Prayagraj .

Haridwar .

Nashik .

Ujjain .

Purna Kumbh Mela: Held every 12 years at one of the four locations.

Ardh Kumbh Mela: Held every 6 years at Haridwar and Prayagraj.

Maha Kumbh Mela: Held every 144 years (12 Purna Kumbhs) at Prayagraj.

40 crore people are expected to visit over the period of 45 days.

and the gov is spending 7000crores and is expected to earn 25000crores from hosting mahakhumb mela

Kumbh Mela attracts not only pilgrims but also tourists and photographers from across the globe, making it a significant event culturally, spiritually, and economically.

It is mythologically believed that churning of the ocean (Samudra Manthan) by gods and demons. During this event, drops of the nectar of immortality fell at the four locations.

try:
    package = "zarr"
    package_version = version(package)
    major_version = int(package_version.split(".")[0])  # Extract the major version
    if major_version == 3:
        print(f"The package major version is {major_version}.")
        import zarr
        import fsspec
        # strip leading 's3://' from url
        url1 = url1[5:]
        url2 = url2[5:]
        fs = fsspec.filesystem("s3", asynchronous=True)
        store1 = zarr.storage.FsspecStore(fs, path=url1)
        store2 = zarr.storage.FsspecStore(fs, path=url2)
        file1 = zarr.open(store=store1)
        file2 = zarr.open(store=store2)
    else:
        print(f"The package major version is {major_version}.")
        import s3fs
        fs = s3fs.S3FileSystem(anon=True)
        file1 = s3fs.S3Map(url1, s3=fs)
        file2 = s3fs.S3Map(url2, s3=fs)
        
except PackageNotFoundError:
    print(f"{package} is not installed")