do you have any update on this, i am also having similar query on how to achieve this

Trying some of the methods mentioned here should help: https://github.com/orgs/community/discussions/162702

A few years later, but this guide is a great explanation of what's going on:

https://community.databricks.com/t5/technical-blog/deep-dive-streaming-deduplication/ba-p/105062

it looks like having given my answer that i can not longer comment on others ..

A shout out to @markp-fuso for setting a very high bar for quality of answer.

I had not even considered your assumption C but your additional care for my solution is appreciated .. i am, of course, going to use your code to improve my own. Thanks for that

and a harsh raspberry to whoever down voted my own solution immediately as i posted it

I have the same issue but with a UIScrollView and not a UITableView and seems that any of the suggested solution (title + largeTitle, Top constraint to 0 to the superview) is working. Is any of you having the same issue ? Any solution found ?

I am also facing this issue !!

has anybody got any solutions for this ? Still getting the same thing.

Did you manage to resolve this issue?
I’m facing the same problem — android:usesCleartextTraffic="true", but it doesn’t seem to work in a MAUI Blazor Hybrid project.

How much time does this step require? Thanks in advance

That actually worked! But I don't get why. Yes, it is correct, that I wanted to estimate a man, with the first education level, from an unknown citizen class, who is 20 years old, and his political views are "Reform". But how do the levels work here?

enter image description here

make sure uncheck this box

hey did u ever figure this out?

This issue has been fixed by Google:
https://android-review.googlesource.com/c/platform/frameworks/support/+/3794126

Wrap is a clothing brand that makes simple comfortable and stylish clothes.click

I have find this : https://guacamole.apache.org/doc/1.6.0/gug/guacamole-native.html

You have all the dependencies for fedora because amazon linux 2023 is based on !

Else, you can help you with this AMI to see the dependencies deployed : https://aws.amazon.com/marketplace/pp/prodview-ya7i5ohmfyl3e

thank you very much, I spet 1 hour thinking my localhost is somehow blocked

What are the permissions on your perl script ?

In the top part of most pages you can switch what is currently the Focused (global) Selection. If you try changing to another page after changing it, you'll notice that the selection will follow you to another page. You can always switch to <No Selection> to start over (but yes, previous selections will still be available in the combo box).

I take it that you're looking for a way to clear out all previous selections, and not just selecting the "<No Selection>"? If so, how would you want to access that functionality? A context menu with "Clear All Selections"? Something else? Please let me know what you'd prefer, and I'll open an issue and add it. :)

PostgreSQL in Astra Linux have breaking changes and not compatible with TimescaleDB.

https://wiki.astralinux.ru/kb/postgresql-rasshirenie-timescaledb-371817563.html

Open this link: https://nodejs.org/en/download/archive/v0.12.18 and scroll down to Installer Packages. Then download the package foe windows.

Note that 0.12.18 is the last version that was supported by win xp.

Hello please use our official npm package at https://www.npmjs.com/package/@bugrecorder/sdk

Are you using ControlFormat ?

Is your approach to work with shapes? Perhaps manipulate the OptionBotton sate, 'if' button inserted as a Form Control.

New here .. Curious did you modify the .value property of the OptionBotton object?

the trick is to use env variable

New here .. Curious did you modify the .value property of the OptionBotton object?

you must change getMaxCores function, roll it back to 0.25, then install package by tar.gz file . Detail in this article by me https://www.bilibili.com/opus/1126187884464832514 .

I was able to resolve this by using the "Reload Project" option from VS 2022 menu (not sure how I missed that). Thanks for the responses

fixed: turns out you cant do that in textual

rightclick -> format document ?

how do i create something like the 1 answer but for something else.. theres a website i want to scrape but i want to scrape for a specific "src="specific url ""

If your organisation permits you might be able to use LDAP to populate those field:

VBA excel Getting information from active directory with the username based in cells

https://documentation.sailpoint.com/connectors/active_directory/help/integrating_active_directory/ldap_names.html

ive acidently passed a const argument. dosent seem to be the issu in youre case tho.

Follow this inComplete guide repo to install and setup jupyter notebook on termux android 13+

I have a similar kind of issue, where the page is splitting unnecessarily.
I have three components a header, a title and a chart using chart js, the issue is the header and title is coming in the first page and chart is going to the second page keeping the first page blank, so what else I can do here it is working fine when the chart data is fit with in the first page.

Can somebody please help me to fix this issue

Here is the code

 <div className="chart-container">
            <div className="d-flex justify-content-between">
                <label className="chart-title m-2">{props.title}</label>
            </div>
            {data.length == 0
                ? <div className="no-data-placeholder">
                    <span>No Data Found!</span>
                </div>
                : <div id={props.elementID} style={props.style}></div>
            }

        </div>

Cant you probably just look up the JS code of the router page and see what requests it sends?

i am stuck when i have ti submet where thay aked if im a android

# compare_icon_fmt.py
import cv2
import numpy as np
from dataclasses import dataclass
from typing import Tuple, List

# ===================== T H A M  S Ố  &  C ᾳ U  H Ì N H =====================

@dataclass
class RedMaskParams:
    # Dải đỏ HSV đôi: [0..10] U [170..180]
    lower1: Tuple[int, int, int] = (0, 80, 50)
    upper1: Tuple[int, int, int] = (10, 255, 255)
    lower2: Tuple[int, int, int] = (170, 80, 50)
    upper2: Tuple[int, int, int] = (180, 255, 255)
    open_ksize: int = 3
    close_ksize: int = 5

@dataclass
class CCParams:
    dilate_ksize: int = 3
    min_area: int = 150
    max_area: int = 200000
    aspect_min: float = 0.5
    aspect_max: float = 2.5
    pad: int = 2

@dataclass
class FMTParams:
    hann: bool = True
    eps: float = 1e-3
    min_scale: float = 0.5
    max_scale: float = 2.0

@dataclass
class MatchParams:
    ncc_threshold: float = 0.45
    canny_low: int = 60
    canny_high: int = 120

# ===================== 1) LOAD & BINARIZE =====================

def load_and_binarize(path: str):
    img_bgr = cv2.imread(path, cv2.IMREAD_COLOR)
    if img_bgr is None:
        raise FileNotFoundError(f"Không thể đọc ảnh: {path}")
    rgb = cv2.cvtColor(img_bgr, cv2.COLOR_BGR2RGB)
    gray = cv2.cvtColor(img_bgr, cv2.COLOR_BGR2GRAY)
    _, binarized = cv2.threshold(gray, 0, 255, cv2.THRESH_BINARY + cv2.THRESH_OTSU)
    return img_bgr, rgb, binarized

# ===================== 2) TEMPLATE BIN + INVERT =====================

def binarize_and_invert_template(tpl_bgr):
    tpl_gray = cv2.cvtColor(tpl_bgr, cv2.COLOR_BGR2GRAY)
    _, tpl_bin = cv2.threshold(tpl_gray, 0, 255, cv2.THRESH_BINARY + cv2.THRESH_OTSU)
    tpl_inv = cv2.bitwise_not(tpl_bin)
    return tpl_bin, tpl_inv

# ===================== 3) RED MASK =====================

def red_mask_on_dashboard(dash_bgr, red_params: RedMaskParams):
    hsv = cv2.cvtColor(dash_bgr, cv2.COLOR_BGR2HSV)
    m1 = cv2.inRange(hsv, red_params.lower1, red_params.upper1)
    m2 = cv2.inRange(hsv, red_params.lower2, red_params.upper2)
    mask = cv2.bitwise_or(m1, m2)

    if red_params.open_ksize > 0:
        k = cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (red_params.open_ksize,)*2)
        mask = cv2.morphologyEx(mask, cv2.MORPH_OPEN, k)
    if red_params.close_ksize > 0:
        k = cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (red_params.close_ksize,)*2)
        mask = cv2.morphologyEx(mask, cv2.MORPH_CLOSE, k)
    return mask

def apply_mask_to_binarized(binarized, mask):
    return cv2.bitwise_and(binarized, binarized, mask=mask)

# ===================== 4) DILATE + CONNECTED COMPONENTS =====================

def find_candidate_boxes(masked_bin, cc_params: CCParams) -> List[Tuple[int,int,int,int]]:
    k = cv2.getStructuringElement(cv2.MORPH_RECT, (cc_params.dilate_ksize,)*2)
    dil = cv2.dilate(masked_bin, k, iterations=1)

    num_labels, labels, stats, _ = cv2.connectedComponentsWithStats((dil>0).astype(np.uint8), connectivity=8)
    boxes = []
    H, W = masked_bin.shape[:2]
    for i in range(1, num_labels):
        x, y, w, h, area = stats[i]
        if area < cc_params.min_area or area > cc_params.max_area:
            continue
        aspect = w / (h + 1e-6)
        if not (cc_params.aspect_min <= aspect <= cc_params.aspect_max):
            continue
        x0 = max(0, x - cc_params.pad)
        y0 = max(0, y - cc_params.pad)
        x1 = min(W, x + w + cc_params.pad)
        y1 = min(H, y + h + cc_params.pad)
        boxes.append((x0, y0, x1-x0, y1-y0))
    return boxes

# ===================== 5) CROP CHẶT TEMPLATE =====================

def tight_crop_template(tpl_inv):
    cnts, _ = cv2.findContours(tpl_inv, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
    if not cnts:
        return tpl_inv
    x, y, w, h = cv2.boundingRect(max(cnts, key=cv2.contourArea))
    return tpl_inv[y:y+h, x:x+w]

# ===================== 6) FOURIER–MELLIN (scale, rotation) =====================

def _fft_magnitude(img: np.ndarray, use_hann=True, eps=1e-3) -> np.ndarray:
    if use_hann:
        hann_y = cv2.createHanningWindow((img.shape[1], 1), cv2.CV_32F)
        hann_x = cv2.createHanningWindow((1, img.shape[0]), cv2.CV_32F)
        window = hann_x @ hann_y
        img = img * window
    dft = cv2.dft(img, flags=cv2.DFT_COMPLEX_OUTPUT)
    dft_shift = np.fft.fftshift(dft, axes=(0,1))
    mag = cv2.magnitude(dft_shift[:,:,0], dft_shift[:,:,1])
    mag = np.log(mag + eps)
    mag = cv2.normalize(mag, None, 0, 1, cv2.NORM_MINMAX)
    return mag

def _log_polar(mag: np.ndarray) -> Tuple[np.ndarray, float]:
    center = (mag.shape[1]//2, mag.shape[0]//2)
    max_radius = min(center[0], center[1])
    M = mag.shape[1] / np.log(max_radius + 1e-6)
    lp = cv2.logPolar(mag, center, M, cv2.WARP_FILL_OUTLIERS + cv2.INTER_LINEAR)
    return lp, M

def fourier_mellin_register(img_ref: np.ndarray, img_mov: np.ndarray, fmt_params: FMTParams):
    a = cv2.normalize(img_ref.astype(np.float32), None, 0, 1, cv2.NORM_MINMAX)
    b = cv2.normalize(img_mov.astype(np.float32), None, 0, 1, cv2.NORM_MINMAX)

    amag = _fft_magnitude(a, use_hann=fmt_params.hann, eps=fmt_params.eps)
    bmag = _fft_magnitude(b, use_hann=fmt_params.hann, eps=fmt_params.eps)

    alp, M = _log_polar(amag)
    blp, _ = _log_polar(bmag)

    shift, response = cv2.phaseCorrelate(alp, blp)
    # phaseCorrelate trả (shiftX, shiftY)
    shiftX, shiftY = shift

    cols = alp.shape[1]
    scale = np.exp(shiftY / (M + 1e-9))
    rotation = -360.0 * (shiftX / (cols + 1e-9))
    scale = float(np.clip(scale, fmt_params.min_scale, fmt_params.max_scale))
    rotation = float(((rotation + 180) % 360) - 180)
    return scale, rotation, float(response)

def warp_template_by(scale: float, rotation_deg: float, tpl_gray: np.ndarray, target_size: Tuple[int, int]):
    h, w = tpl_gray.shape[:2]
    center = (w/2, h/2)
    M = cv2.getRotationMatrix2D(center, rotation_deg, scale)
    warped = cv2.warpAffine(tpl_gray, M, (w, h), flags=cv2.INTER_LINEAR, borderMode=cv2.BORDER_CONSTANT, borderValue=0)
    warped = cv2.resize(warped, (target_size[0], target_size[1]), interpolation=cv2.INTER_LINEAR)
    return warped

# ===================== 7) MATCH SCORE (robust) =====================

def edge_preprocess(img_gray: np.ndarray, mp: MatchParams):
    # CLAHE để chống ảnh phẳng
    clahe = cv2.createCLAHE(clipLimit=2.0, tileGridSize=(8,8))
    g = clahe.apply(img_gray)

    edges = cv2.Canny(g, mp.canny_low, mp.canny_high)

    # Nếu cạnh quá ít → dùng gradient magnitude
    if np.count_nonzero(edges) < 0.001 * edges.size:
        gx = cv2.Sobel(g, cv2.CV_32F, 1, 0, ksize=3)
        gy = cv2.Sobel(g, cv2.CV_32F, 0, 1, ksize=3)
        mag = cv2.magnitude(gx, gy)
        mag = cv2.normalize(mag, None, 0, 255, cv2.NORM_MINMAX).astype(np.uint8)
        return mag

    # Dãn cạnh nhẹ
    k = cv2.getStructuringElement(cv2.MORPH_RECT, (3,3))
    edges = cv2.dilate(edges, k, iterations=1)
    return edges

def _nan_to_val(x: float, val: float = -1.0) -> float:
    return float(val) if (x is None or (isinstance(x, float) and (x != x))) else float(x)

def ncc_score(scene: np.ndarray, templ: np.ndarray) -> float:
    Hs, Ws = scene.shape[:2]
    Ht, Wt = templ.shape[:2]
    if Hs < Ht or Ws < Wt:
        pad = np.zeros((max(Hs,Ht), max(Ws,Wt)), dtype=scene.dtype)
        pad[:Hs,:Ws] = scene
        scene = pad

    # 1) TM_CCOEFF_NORMED
    res = cv2.matchTemplate(scene, templ, cv2.TM_CCOEFF_NORMED)
    s1 = _nan_to_val(res.max())

    # 2) Fallback: TM_CCORR_NORMED
    s2 = -1.0
    if s1 <= -0.5:
        res2 = cv2.matchTemplate(scene, templ, cv2.TM_CCORR_NORMED)
        s2 = _nan_to_val(res2.max())

    # 3) Fallback cuối: IoU giữa 2 mask nhị phân
    if s1 <= -0.5 and s2 <= 0:
        t = templ
        sc = scene
        if sc.shape != t.shape:
            sc = cv2.resize(sc, (t.shape[1], t.shape[0]), interpolation=cv2.INTER_NEAREST)
        _, tb = cv2.threshold(t, 0, 255, cv2.THRESH_BINARY+cv2.THRESH_OTSU)
        _, sb = cv2.threshold(sc, 0, 255, cv2.THRESH_BINARY+cv2.THRESH_OTSU)
        inter = np.count_nonzero(cv2.bitwise_and(tb, sb))
        union = np.count_nonzero(cv2.bitwise_or(tb, sb))
        iou = inter / union if union > 0 else 0.0
        return float(iou)

    return max(s1, s2)

def thicken_binary(img: np.ndarray, ksize: int = 3, iters: int = 1) -> np.ndarray:
    k = cv2.getStructuringElement(cv2.MORPH_RECT, (ksize,ksize))
    return cv2.dilate(img, k, iterations=iters)

# ===================== P I P E L I N E  C H Í N H =====================

def find_icon_with_fmt(
    dashboard_path: str,
    template_path: str,
    red_params=RedMaskParams(),
    cc_params=CCParams(),
    fmt_params=FMTParams(),
    match_params=MatchParams(),
):
    # 1) Dashboard: RGB + bin
    dash_bgr, dash_rgb, dash_bin = load_and_binarize(dashboard_path)

    # 2) Template: bin + invert
    tpl_bgr = cv2.imread(template_path, cv2.IMREAD_COLOR)
    if tpl_bgr is None:
        raise FileNotFoundError(f"Không thể đọc template: {template_path}")
    tpl_bin, tpl_inv = binarize_and_invert_template(tpl_bgr)

    # 3) Lọc đỏ & áp mask lên ảnh nhị phân dashboard
    redmask = red_mask_on_dashboard(dash_bgr, red_params)
    dash_masked = apply_mask_to_binarized(dash_bin, redmask)

    # 4) Dãn + tìm CC để lấy candidate boxes
    boxes = find_candidate_boxes(dash_masked, cc_params)

    # 5) Cắt chặt template & chuẩn bị phiên bản grayscale
    tpl_tight = tight_crop_template(tpl_inv)
    tpl_tight_gray = cv2.GaussianBlur(tpl_tight, (3,3), 0)

    # Tiền xử lý cạnh cho template
    tpl_edges = edge_preprocess(tpl_tight_gray, match_params)

    best = {
        "score": -1.0,
        "box": None,
        "scale": None,
        "rotation": None
    }

    dash_gray = cv2.cvtColor(dash_bgr, cv2.COLOR_BGR2GRAY)

    for (x, y, w, h) in boxes:
        roi = dash_gray[y:y+h, x:x+w]
        if roi.size == 0 or w < 8 or h < 8:
            continue

        # Resize tạm cho FMT
        tpl_norm = cv2.resize(tpl_tight_gray, (w, h), interpolation=cv2.INTER_LINEAR)
        roi_norm  = cv2.resize(roi, (w, h), interpolation=cv2.INTER_LINEAR)

        # 6) FMT ước lượng scale/rotation (có fallback)
        try:
            scale, rotation, resp = fourier_mellin_register(tpl_norm, roi_norm, fmt_params)
        except Exception:
            scale, rotation, resp = 1.0, 0.0, 0.0

        warped = warp_template_by(scale, rotation, tpl_tight_gray, target_size=(w, h))

        # (tuỳ chọn) làm dày biên template
        warped = thicken_binary(warped, ksize=3, iters=1)

        # 7) Tính điểm khớp trên đặc trưng robust
        roi_feat    = edge_preprocess(roi, match_params)
        warped_feat = edge_preprocess(warped, match_params)
        score = ncc_score(roi_feat, warped_feat)

        if score > best["score"]:
            best.update({
                "score": score,
                "box": (x, y, w, h),
                "scale": scale,
                "rotation": rotation
            })

    return {
        "best_score": best["score"],
        "best_box": best["box"],              # (x, y, w, h) trên dashboard
        "best_scale": best["scale"],
        "best_rotation_deg": best["rotation"],
        "pass": (best["score"] is not None and best["score"] >= match_params.ncc_threshold),
        "num_candidates": len(boxes),
    }

# ===================== V Í  D Ụ  C H Ạ Y =====================

if __name__ == "__main__":
    # ĐỔI 2 ĐƯỜNG DẪN NÀY THEO MÁY BẠN
    DASHBOARD = r"\Icon\dashboard.jpg"
    TEMPLATE  = r"\Icon\ID01.jpg"

    result = find_icon_with_fmt(
        dashboard_path=DASHBOARD,
        template_path=TEMPLATE,
        red_params=RedMaskParams(),                      # nới dải đỏ nếu cần
        cc_params=CCParams(min_area=60, max_area=120000, pad=3),
        fmt_params=FMTParams(min_scale=0.6, max_scale=1.8),
        match_params=MatchParams(ncc_threshold=0.55, canny_low=50, canny_high=130)
    )

    print("=== KẾT QUẢ ===")
    for k, v in result.items():
        print(f"{k}: {v}")

    # Vẽ khung best match để kiểm tra nhanh
    if result["best_box"] is not None:
        img = cv2.imread(DASHBOARD)
        x, y, w, h = result["best_box"]
        cv2.rectangle(img, (x,y), (x+w, y+h), (0,255,0), 2)
        cv2.putText(img, f"NCC={result['best_score']:.2f}", (x, max(0,y-8)),
                    cv2.FONT_HERSHEY_SIMPLEX, 0.6, (0,255,0), 2, cv2.LINE_AA)
        cv2.imshow("Best match", img)
        cv2.waitKey(0)
        cv2.destroyAllWindows()
 Hi i am using but it don't find correct image. Please help me check 

code not run

import { Directive, ElementRef, HostListener } from '@angular/core';

@Directive({
  selector: '[formatDate]', // Este é o seletor que você usará no HTML
  standalone: true // Torna a diretiva autônoma (não precisa ser declarada em um módulo)
})
export class FormataDateDirective {

  constructor(private el: ElementRef) {}

  /**
   * O HostListener escuta eventos no elemento hospedeiro (o <input>).
   * Usamos o evento 'input' porque ele captura cada alteração,
   * incluindo digitação, colagem e exclusão de texto.
   * @param event O evento de entrada disparado.
   */
  @HostListener('input', ['$event'])
  onInputChange(event: Event): void {
    const inputElement = event.target as HTMLInputElement;
    let inputValue = inputElement.value.replace(/\D/g, ''); // Remove tudo que não for dígito

    // Limita a entrada a 8 caracteres (DDMMAAAA)
    if (inputValue.length > 8) {
      inputValue = inputValue.slice(0, 8);
    }

    let formattedValue = '';

    // Aplica a formatação DD/MM/AAAA conforme o usuário digita
    if (inputValue.length > 0) {
      formattedValue = inputValue.slice(0, 2);
    }
    if (inputValue.length > 2) {
      formattedValue = `${inputValue.slice(0, 2)}/${inputValue.slice(2, 4)}`;
    }
    if (inputValue.length > 4) {
      formattedValue = `${inputValue.slice(0, 2)}/${inputValue.slice(2, 4)}/${inputValue.slice(4, 8)}`;
    }

    // Atualiza o valor do campo de entrada
    inputElement.value = formattedValue;
  }

  /**
   * Este listener lida com o pressionamento da tecla Backspace.
   * Ele garante que a barra (/) seja removida junto com o número anterior,
   * proporcionando uma experiência de usuário mais fluida.
   */
  @HostListener('keydown.backspace', ['$event'])
  onBackspace(event: KeyboardEvent): void {
    const inputElement = event.target as HTMLInputElement;
    const currentValue = inputElement.value;

    if (currentValue.endsWith('/') && currentValue.length > 0) {
      // Remove a barra e o número anterior de uma vez
      inputElement.value = currentValue.slice(0, currentValue.length - 2);
      // Previne o comportamento padrão do backspace para não apagar duas vezes
      event.preventDefault();
    }
  }
}

<main class="center"> <router-outlet></router-outlet> <input type="text" placeholder="DD/MM/AAAA" [formControl]="dateControl" formatDate maxlength="10"


</main>

Seems that it is a common issue, so please vote at https://github.com/angular/angular/issues/64553

As of 9/29/25, this is now part of VSCode.

this was so helpful, I finally got my toaster to cook a pizza in the morning

And how would I go about this when I want this to work with CUDA.jl CuArrays as well?

Ever solved this?

Tried everything I could find on this topic. Works on all my devices except Android.
Eventually tried 192,0,2,1 instead and this works on my Android just fine.

Encountered same issue where the latest chromium doesn't work on Vercel. Has anyone fix this similar problem? Would've been so helpful.

SonarQube now officially supports Rust:

https://www.sonarsource.com/blog/introducing-rust-in-sonarqube/

i have some issue to validate

C:\Users\grigore.ionescu\WORK\ITC\2025-05-SAFT-Stock-Baan-5\duk_SAFT_2025_10\dist>java -jar DUKIntegrator_AnLunaUI.jar -v D406T C:\Users\grigore.ionescu\WORK\ITC\2025-05-SAFT-Stock-Baan-5\D406\D406\DECLR_2009_1_D406T_I0_20250807.xml      $ $ an=2025 luna=10
an:2025
luna:10
an:2025
luna:10
mode=1
XXXXX   C:\Users\grigore.ionescu\WORK\ITC\2025-05-SAFT-Stock-Baan-5\duk_SAFT_2025_10\dist\saft_counter.csv
in parseXml
inainte an si luna:2025...10
an:2025  luna:10
VALIDATION FOR TYPE [T]
EXPECTED SECTIONS: [Sections{name=Account, elements=[SECTION_ELEMENTS{nodeStruct=min:0, max:2147483647, cnt:0, parent:71, right:-1, firstCh:73, id:16450,id=72, absPath=AuditFile/MasterFiles/GeneralLedgerAccounts/Account}]}, Sections{name=Customer, elements=[SECTION_ELEMENTS{nodeStruct=min:0, max:2147483647, cnt:0, parent:94, right:-1, firstCh:96, id:16470,id=95, absPath=AuditFile/MasterFiles/Customers/Customer}]}, Sections{name=Supplier, elements=[SECTION_ELEMENTS{nodeStruct=min:0, max:2147483647, cnt:0, parent:145, right:-1, firstCh:147, id:16475,id=146, absPath=AuditFile/MasterFiles/Suppliers/Supplier}]}, Sections{name=TaxTableEntry, elements=[SECTION_ELEMENTS{nodeStruct=min:0, max:2147483647, cnt:0, parent:196, right:-1, firstCh:198, id:94,id=197, absPath=AuditFile/MasterFiles/TaxTable/TaxTableEntry}]}, Sections{name=UOMTableEntry, elements=[SECTION_ELEMENTS{nodeStruct=min:0, max:2147483647, cnt:0, parent:215, right:-1, firstCh:217, id:108,id=216, absPath=AuditFile/MasterFiles/UOMTable/UOMTableEntry}]}, Sections{name=AnalysisTypeTableEntry, elements=[SECTION_ELEMENTS{nodeStruct=min:0, max:2147483647, cnt:0, parent:219, right:-1, firstCh:221, id:111,id=220, absPath=AuditFile/MasterFiles/AnalysisTypeTable/AnalysisTypeTableEntry}]}, Sections{name=Product, elements=[SECTION_ELEMENTS{nodeStruct=min:0, max:2147483647, cnt:0, parent:229, right:-1, firstCh:231, id:120,id=230, absPath=AuditFile/MasterFiles/Products/Product}]}, Sections{name=GeneralLedgerEntries, elements=[SECTION_ELEMENTS{nodeStruct=min:0, max:1, cnt:0, parent:354, right:356, firstCh:-1, id:184,id=355, absPath=AuditFile/GeneralLedgerEntries/NumberOfEntries}, SECTION_ELEMENTS{nodeStruct=min:0, max:1, cnt:0, parent:354, right:357, firstCh:-1, id:185,id=356, absPath=AuditFile/GeneralLedgerEntries/TotalDebit}, SECTION_ELEMENTS{nodeStruct=min:0, max:1, cnt:0, parent:354, right:358, firstCh:-1, id:186,id=357, absPath=AuditFile/GeneralLedgerEntries/TotalCredit}, SECTION_ELEMENTS{nodeStruct=min:0, max:2147483647, cnt:0, parent:354, right:-1, firstCh:359, id:187,id=358, absPath=AuditFile/GeneralLedgerEntries/Journal}]}, Sections{name=SalesInvoices, elements=[SECTION_ELEMENTS{nodeStruct=min:0, max:1, cnt:0, parent:417, right:419, firstCh:-1, id:184,id=418, absPath=AuditFile/SourceDocuments/SalesInvoices/NumberOfEntries}, SECTION_ELEMENTS{nodeStruct=min:0, max:1, cnt:0, parent:417, right:420, firstCh:-1, id:185,id=419, absPath=AuditFile/SourceDocuments/SalesInvoices/TotalDebit}, SECTION_ELEMENTS{nodeStruct=min:0, max:1, cnt:0, parent:417, right:421, firstCh:-1, id:186,id=420, absPath=AuditFile/SourceDocuments/SalesInvoices/TotalCredit}, SECTION_ELEMENTS{nodeStruct=min:0, max:2147483647, cnt:0, parent:417, right:-1, firstCh:422, id:16601,id=421, absPath=AuditFile/SourceDocuments/SalesInvoices/Invoice}]}, Sections{name=PurchaseInvoices, elements=[SECTION_ELEMENTS{nodeStruct=min:0, max:1, cnt:0, parent:614, right:616, firstCh:-1, id:184,id=615, absPath=AuditFile/SourceDocuments/PurchaseInvoices/NumberOfEntries}, SECTION_ELEMENTS{nodeStruct=min:0, max:1, cnt:0, parent:614, right:617, firstCh:-1, id:185,id=616, absPath=AuditFile/SourceDocuments/PurchaseInvoices/TotalDebit}, SECTION_ELEMENTS{nodeStruct=min:0, max:1, cnt:0, parent:614, right:618, firstCh:-1, id:186,id=617, absPath=AuditFile/SourceDocuments/PurchaseInvoices/TotalCredit}, SECTION_ELEMENTS{nodeStruct=min:0, max:2147483647, cnt:0, parent:614, right:-1, firstCh:619, id:16601,id=618, absPath=AuditFile/SourceDocuments/PurchaseInvoices/Invoice}]}, Sections{name=Payments, elements=[SECTION_ELEMENTS{nodeStruct=min:0, max:1, cnt:0, parent:811, right:813, firstCh:-1, id:184,id=812, absPath=AuditFile/SourceDocuments/Payments/NumberOfEntries}, SECTION_ELEMENTS{nodeStruct=min:0, max:1, cnt:0, parent:811, right:814, firstCh:-1, id:185,id=813, absPath=AuditFile/SourceDocuments/Payments/TotalDebit}, SECTION_ELEMENTS{nodeStruct=min:0, max:1, cnt:0, parent:811, right:815, firstCh:-1, id:186,id=814, absPath=AuditFile/SourceDocuments/Payments/TotalCredit}, SECTION_ELEMENTS{nodeStruct=min:0, max:2147483647, cnt:0, parent:811, right:-1, firstCh:816, id:265,id=815, absPath=AuditFile/SourceDocuments/Payments/Payment}]}]
SECTION DETECTED: Sections{name=TaxTableEntry, elements=[SECTION_ELEMENTS{nodeStruct=min:1, max:2147483647, cnt:1, parent:196, right:-1, firstCh:198, id:94,id=197, absPath=AuditFile/MasterFiles/TaxTable/TaxTableEntry}]}
SECTION DETECTED: Sections{name=UOMTableEntry, elements=[SECTION_ELEMENTS{nodeStruct=min:1, max:2147483647, cnt:1, parent:215, right:-1, firstCh:217, id:108,id=216, absPath=AuditFile/MasterFiles/UOMTable/UOMTableEntry}]}
SECTION DETECTED: Sections{name=MovementTypeTableEntry, elements=[SECTION_ELEMENTS{nodeStruct=min:0, max:0, cnt:1, parent:225, right:-1, firstCh:227, id:117,id=226, absPath=AuditFile/MasterFiles/MovementTypeTable/MovementTypeTableEntry}]}
1.
Erori la validare fisier: C:\Users\grigore.ionescu\WORK\ITC\2025-05-SAFT-Stock-Baan-5\D406\D406\DECLR_2009_1_D406T_I0_20250807.xml
       Erorile au fost scrise in fisierul: C:\Users\grigore.ionescu\WORK\ITC\2025-05-SAFT-Stock-Baan-5\D406\D406\DECLR_2009_1_D406T_I0_20250807.xml.err.txt

and the error file contains:

F: MasterFiles (1) sectiune MovementTypeTable (1) sectiune MovementTypeTableEntry (1) sectiune Description (1)

eroare structura: elementul 'MovementType' a depasit numarul maxim de aparitii (0); a aparut de 1 ori

That somehow implies that the DUKE validatpr does not take in consideration is to validate a D406T declaration for move of goods and stock.

Can anyone help with some insights ?

The --repl option is no longer supported. See https://issues.chromium.org/issues/40257772#comment2

I found interesting answer. May be helpful: https://nmmhelp.getnerdio.com/hc/en-us/community/posts/35207061281549-In-Place-Upgrade-Win11-to-24h2

I am also having the same issue, inside the github the graph is visible however after pushing the code into the github, the github is unbale to render this graphs . Don't no what exactly issue is ?

I'm using springboot 3.4.1

I want to capture http request body and http response body but opentelemetry does not offer this out of the box.

does creating an extension is the best way to do this?

anyone has created this before ?

My issue was that in the raw query I was using the @parameters (that were strings) surrounded with single quotes. Removing the single quotes solved my problem.

05.11.1993

> ----------

05.11.1993

Yes, this can likely be done with a Docusign CLM Document Smart Rule, but it requires a more advanced configuration using XPath within the Rename action to dynamically capture the parent folder name and retain the original document name.

Your previous attempt failed because the "Rename" action, when used with a literal value, completely replaces the document name instead of appending or prepending to it.

You can refer to this link for an example: https://community.docusign.com/clm-112/rename-documents-using-attributes-2845

Thanks and regards,

Mahmoud

I noticed when I started debugging, at 53 seconds the error was like this

I hope you’re doing well. I just wanted to check if you were able to find any solution yet?

I just used PG Admin to create snapshot and restore it in new database in new AWS Lightsail account.enter image description here

May God keep you in good health my friend! Thank you!

Editing x32, x64, etc. in the end of the URLs gives better quality icons if needed
https://ssl.gstatic.com/docs/doclist/images/mediatype/icon_1_spreadsheet_x32.png
https://ssl.gstatic.com/docs/doclist/images/mediatype/icon_1_spreadsheet_x64.png

I think it's the file name. try removing the space before the dot.

enter image description here

Kindly take a look at my recent blog to learn how this can be achieved.

https://pothiarunmca.blogspot.com/2025/10/reusable-javascript-function-to.html

hmm, nice. Its working or not? I am curious about it.

From the introduction and illustration you seem to be describing representing data in triplets. This is common in graph databases (specifically property graphs). Have you considered a property graph, and the openCypher query language which is tailored to it?

Ok, thank you President Jam for your help

http://192.168.0.1.comSM-A556E - samsung/a55xnsxx/a55x:16/BP2A.250605.031.A3/A556EXXUACYIA:user/release-keys

Cool post, great instructions, thanks.

Does anyone know if this can be done with WSA (Subsystem for Android) too?

Me encontré con el mismo problema y logré resolverlo utilizando Java 21 junto con JJWT 0.12.5 y 0.13.0.
La solución fue actualizar el método de parsing del token de la siguiente forma:

/**
 * Devuelve todos los claims (payload) del token JWT.
 */
public Claims parseClaims(String token) {
    return Jwts.parser()
            .verifyWith(secretKey)
            .build()
            .parseSignedClaims(token)
            .getPayload();
}

I created a separate bundle for it: https://github.com/savinmikhail/symfony-profiler-response-bundle, see also https://github.com/symfony/symfony/issues/21168

For people who have the same problem while editing an css file in vs. I have used the answer in this link and that worked for me.

• Hi, please tell me, I have an INVALID AUTH KEY. What can I do? I replenished my wallet, now I can't withdraw money

did you find the omnik register list.

regards

marc

https://www.youtube.com/watch?v=FxeeCxQGW9U&feature=youtu.be.

https://www.youtube.com/watch?v=FxeeCxQGW9U.

Can someone please tell me what name this YouTube channel is?

I have the Same Problem.

I solve it by using an observable.

toObservable(mySignalFromStore).subscribe(...)

I dont know If this is THE solution.

When using the tiffsep1 driver, how can I set the independent color separation plate angles C=15, M=75, Y=0, K=45? I have tried many methods but none of them worked. The converted color separation plate images all have dots at the same Angle

Found the Fix to it. Go to Disk Utility when screen loads up and format the disk with supported Apple File Format System!

Refer here: https://support.apple.com/guide/disk-utility/file-system-formats-dsku19ed921c/22.7/mac/26

i having the same problem if you find the solution can you help me out with it

You can find the solution for device targeting API level >=36 in here - https://github.com/flutter/flutter/issues/168635#issuecomment-3417866156

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just use winboat, its a windows in a linux

I recently wrote a C-to-Brainfuck compiler. Here's my write-up on how it works.

Top Thanks for the code it finally works fine :)

Look at the migration guide info: https://docs.aws.amazon.com/sdk-for-java/latest/developer-guide/client-configuration.html#client-configuration-http

I hope you’re doing well. I’m currently encountering the same issue with Angular 17 and AngularFire when running unit tests using Jasmine + Karma. The error message says: “AngularFireModule is not provided in AppModule”, even though I’m properly configuring the Firebase providers inside the test setup.

I was wondering if you eventually found a reliable solution or workaround for this? Any insights or updated configuration examples for Angular 17 would be greatly appreciated. Thanks in advance for your help!

My tag is Gael_et_co sry about that ^^

It looks like url rewrite has been added:
https://aws.amazon.com/blogs/networking-and-content-delivery/introducing-url-and-host-header-rewrite-with-aws-application-load-balancers/

but I can't get it to work :(

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Jsjsjshshshshshshshshshshhshshs

what is this for I wanna learned

I see that this is an older problem, but to log in to the vault through C# do I need to have an API license or is it enough to have a classic M-files license? And what is the exact address for logging in to the vault please? I am stuck on this problem.

Can we embede public facebook profile into iframe ?

The client credentials flow iss : "https://sts.windows.net/ instead "https://login.microsoftonline.com which is the case for login flow even though i set API version 2 , in client credentials it always get version 1 i am missing something in configuration ?

I had this same issue with my installation -- did you grab the code signing cert? That fixed it for me, and it doesn't automatically download to the certs folder in the layout.

https://learn.microsoft.com/en-us/visualstudio/install/install-certificates-for-visual-studio-offline?view=vs-2022#maintaining-an-offline-machine

Which certificate broker did you use? I have the same issue with a Sectigo certificate and might try LetsEncrypt to see if the certificate itself is related in one way or another.

Have you solved it? I am also looking for a solution.

I encountered the same problem.

I hope you are doing well. My name is Amina, and I am reaching out to discuss the possibility of publishing a guest post on your website. I would be grateful if you could kindly provide details regarding your guest posting requirements.

Specifically, I would like to know about the following:

1. Guest Post Policy

   • Do you accept guest posts on your website?

   • What are your content quality and niche requirements?

2. Links & SEO

   • Do you allow dofollow or nofollow backlinks?

   • How many backlinks are allowed in a single guest post?

   • Do you allow link insertion in existing articles?

3. Publishing & Duration

   • How many days does it usually take to review and publish a guest post?

   • For how long will the post remain live?

     • 3 months

     • 6 months

     • 1 year

     • Lifetime

4. Other Details

   • Do you charge any publishing fees or is it free?

   • Any formatting or style guidelines that I should follow?

I am happy to provide unique, high-quality, and well-researched content that aligns with your website’s audience and standards.

Looking forward to your response.

Best Regards,
Amina

I have tried all the solutions mentioned above, but I am still getting the error below in the SMTP server logs. Any suggestion would be appreciated.

Java 1.8
SMTP Port: 25 (as provided by our SMTP team)
Javax.mail: 1.6.2

TLS negotiation failed with error SocketError
Remote(SocketError)

If I have one templete and 1 icon but Icon is similar, not cut from templete. Do we find it in templete?

fig.savefig('test.png', bbox_inches='tight') works.

Yeah, Have the same issue. After I scan NFC tag, the phone vibrates, OnNewIntent function starts and passes by this condition(so it is false). I really hope someone to answer

Bro, same issue, did u solve it?

None of this worked in case of Large and Medium Top App Bar.

Do you have any other solution?

Model Derivative POST {urn}/references doesn't support RVT files as per @eason-kang comment. The ZIP file is the only option.