Skip to content

Unable to interactively see matplotlib plots with QtAgg backend #858

Closed
Closed
Unable to interactively see matplotlib plots with QtAgg backend#858
Assignees
fabioz
Labels
P2

Description

@cactus1549
Cactus 1549 (cactus1549)
opened on Mar 1, 2022

Environment data

  • debugpy version: 1.5.1
  • OS and version: Windows 10 Pro 21H2 (64-bit) 10.0.19044
  • Python version (& distribution if applicable, e.g. Anaconda): 3.9.4
  • matplotlib
Name Version Build Channel
matplotlib 3.4.2 pypi_0 pypi
matplotlib-base 3.5.1 py39h581301d_0 conda-forge
matplotlib-inline 0.1.3 pyhd8ed1ab_0 conda-forge

The matplotlib settings are:

backend QtAgg interactive True non interactive False
  • Using VS Code or Visual Studio: 1.64.2

Actual behavior

I would like to be able to debug python scripts that use matplotlib interactively. By interactively I mean placing a break point and watching my figure update as I actually step through my code.

Expected behavior

The figure does not update when stepping through code.

Steps to reproduce:

  1. Create a python script test.py with the following code:
import matplotlib.pyplot as plt
figure = plt.figure()
ax = plt.gca()
ax.plot([1,2,3])
ax.set_title("hello")
plt.show()
  1. Place a breakpoint on line 4 and then step through the following lines of code one by one.
  2. The figure appears blank and doesn't update.

Metadata

Metadata

Assignees

Labels

P2

Type

No type

Projects

No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions

    , 'i'); if (__m === '*' || __re.test(location.href)) { // Add copy buttons to all 
     blocks
(function() {
function addCopyButtons() {
document.querySelectorAll('pre code').forEach(function(codeBlock) {
if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;
codeBlock.parentElement.setAttribute('data-copy-added', 'true');
var btn = document.createElement('button');
btn.textContent = 'Copy';
btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';
btn.onmouseover = function() { this.style.opacity = '1'; };
btn.onmouseout = function() { this.style.opacity = '0.7'; };
btn.onclick = function() {
navigator.clipboard.writeText(codeBlock.textContent).then(function() {
btn.textContent = 'Copied!';
setTimeout(function() { btn.textContent = 'Copy'; }, 1500);
});
};
codeBlock.parentElement.style.position = 'relative';
codeBlock.parentElement.appendChild(btn);
});
}
addCopyButtons();
// Re-run on dynamic content
var observer = new MutationObserver(addCopyButtons);
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
Unable to interactively see matplotlib plots with `QtAgg` backend · Issue #858 · microsoft/debugpy · GitHub
    Skip to content
    Unable to interactively see matplotlib plots with QtAgg backend #858
    Closed
    Closed
    Unable to interactively see matplotlib plots with QtAgg backend#858
    Assignees
    fabioz
    Labels
    P2
    Description
    @cactus1549
    Cactus 1549 (cactus1549)
    opened on Mar 1, 2022
    Environment data
    • debugpy version: 1.5.1
    • OS and version: Windows 10 Pro 21H2 (64-bit) 10.0.19044
    • Python version (& distribution if applicable, e.g. Anaconda): 3.9.4
    • matplotlib
    Name Version Build Channel
matplotlib 3.4.2 pypi_0 pypi
matplotlib-base 3.5.1 py39h581301d_0 conda-forge
matplotlib-inline 0.1.3 pyhd8ed1ab_0 conda-forge

    The matplotlib settings are:
    backend QtAgg interactive True non interactive False

    • Using VS Code or Visual Studio: 1.64.2
    Actual behavior
    I would like to be able to debug python scripts that use matplotlib interactively. By interactively I mean placing a break point and watching my figure update as I actually step through my code.
    Expected behavior
    The figure does not update when stepping through code.
    Steps to reproduce:
    1. Create a python script test.py with the following code:
    import matplotlib.pyplot as plt
figure = plt.figure()
ax = plt.gca()
ax.plot([1,2,3])
ax.set_title("hello")
plt.show()

    1. Place a breakpoint on line 4 and then step through the following lines of code one by one.
    2. The figure appears blank and doesn't update.
    Metadata
    Metadata
    Assignees
    Labels
    P2
    Type
    No type
    Projects
    No projects
      Milestone
      No milestone
      Relationships
      None yet
      Development
      No branches or pull requests
      Issue actions
      
, 'i');
if (__m === '*' || __re.test(location.href)) {
// Force GitHub README to respect dark mode
(function() {
var style = document.createElement('style');
style.textContent = '
.markdown-body {
color-scheme: dark light;
}
.markdown-body pre { background: #161b22 !important; }
.markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }
.markdown-body table th, .markdown-body table td { border-color: #30363d !important; }
.markdown-body img { background: #0d1117; }
.markdown-body blockquote { border-left-color: #8b949e; }
.markdown-body hr { border-color: #30363d; }
';
document.head.appendChild(style);
})();
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
Unable to interactively see matplotlib plots with `QtAgg` backend · Issue #858 · microsoft/debugpy · GitHub
      Skip to content
      Unable to interactively see matplotlib plots with QtAgg backend #858
      Closed
      Closed
      Unable to interactively see matplotlib plots with QtAgg backend#858
      Assignees
      fabioz
      Labels
      P2
      Description
      @cactus1549
      Cactus 1549 (cactus1549)
      opened on Mar 1, 2022
      Environment data
      • debugpy version: 1.5.1
      • OS and version: Windows 10 Pro 21H2 (64-bit) 10.0.19044
      • Python version (& distribution if applicable, e.g. Anaconda): 3.9.4
      • matplotlib
      Name Version Build Channel
matplotlib 3.4.2 pypi_0 pypi
matplotlib-base 3.5.1 py39h581301d_0 conda-forge
matplotlib-inline 0.1.3 pyhd8ed1ab_0 conda-forge

      The matplotlib settings are:
      backend QtAgg interactive True non interactive False

      • Using VS Code or Visual Studio: 1.64.2
      Actual behavior
      I would like to be able to debug python scripts that use matplotlib interactively. By interactively I mean placing a break point and watching my figure update as I actually step through my code.
      Expected behavior
      The figure does not update when stepping through code.
      Steps to reproduce:
      1. Create a python script test.py with the following code:
      import matplotlib.pyplot as plt
figure = plt.figure()
ax = plt.gca()
ax.plot([1,2,3])
ax.set_title("hello")
plt.show()

      1. Place a breakpoint on line 4 and then step through the following lines of code one by one.
      2. The figure appears blank and doesn't update.
      Metadata
      Metadata
      Assignees
      Labels
      P2
      Type
      No type
      Projects
      No projects
        Milestone
        No milestone
        Relationships
        None yet
        Development
        No branches or pull requests
        Issue actions
        
, 'i');
if (__m === '*' || __re.test(location.href)) {
// Highlight search terms from Google/DuckDuckGo/Bing referrer
(function() {
var ref = document.referrer;
var terms = [];
if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {
var url = new URL(ref);
var q = url.searchParams.get('q') || url.searchParams.get('p');
if (q) {
terms = q.split(/\s+/).filter(function(t) { return t.length > 2; });
}
}
if (terms.length === 0) return;
var style = document.createElement('style');
style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';
document.head.appendChild(style);
function highlight(node) {
if (node.nodeType === 3) { // text node
var text = node.textContent;
var found = false;
terms.forEach(function(term) {
var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\]\\]/g, '\\') + ')', 'gi');
if (regex.test(text)) {
found = true;
var frag = document.createDocumentFragment();
var parts = text.split(regex);
parts.forEach(function(part, i) {
if (i % 2 === 0) {
frag.appendChild(document.createTextNode(part));
} else {
var span = document.createElement('span');
span.className = 'userscript-highlight';
span.textContent = part;
frag.appendChild(span);
}
});
node.parentNode.replaceChild(frag, node);
}
});
} else if (node.nodeType === 1 && node.childNodes) { // element
var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];
if (!skipTags.includes(node.tagName)) {
Array.from(node.childNodes).forEach(highlight);
}
}
}
highlight(document.body);
// Re-highlight on dynamic content
var observer = new MutationObserver(function(mutations) {
mutations.forEach(function(m) {
m.addedNodes.forEach(function(node) {
if (node.nodeType === 1 || node.nodeType === 3) highlight(node);
});
});
});
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
Unable to interactively see matplotlib plots with `QtAgg` backend · Issue #858 · microsoft/debugpy · GitHub
        Skip to content
        Unable to interactively see matplotlib plots with QtAgg backend #858
        Closed
        Closed
        Unable to interactively see matplotlib plots with QtAgg backend#858
        Assignees
        fabioz
        Labels
        P2
        Description
        @cactus1549
        Cactus 1549 (cactus1549)
        opened on Mar 1, 2022
        Environment data
        • debugpy version: 1.5.1
        • OS and version: Windows 10 Pro 21H2 (64-bit) 10.0.19044
        • Python version (& distribution if applicable, e.g. Anaconda): 3.9.4
        • matplotlib
        Name Version Build Channel
matplotlib 3.4.2 pypi_0 pypi
matplotlib-base 3.5.1 py39h581301d_0 conda-forge
matplotlib-inline 0.1.3 pyhd8ed1ab_0 conda-forge

        The matplotlib settings are:
        backend QtAgg interactive True non interactive False

        • Using VS Code or Visual Studio: 1.64.2
        Actual behavior
        I would like to be able to debug python scripts that use matplotlib interactively. By interactively I mean placing a break point and watching my figure update as I actually step through my code.
        Expected behavior
        The figure does not update when stepping through code.
        Steps to reproduce:
        1. Create a python script test.py with the following code:
        import matplotlib.pyplot as plt
figure = plt.figure()
ax = plt.gca()
ax.plot([1,2,3])
ax.set_title("hello")
plt.show()

        1. Place a breakpoint on line 4 and then step through the following lines of code one by one.
        2. The figure appears blank and doesn't update.
        Metadata
        Metadata
        Assignees
        Labels
        P2
        Type
        No type
        Projects
        No projects
          Milestone
          No milestone
          Relationships
          None yet
          Development
          No branches or pull requests
          Issue actions
          
, 'i');
if (__m === '*' || __re.test(location.href)) {
// Strip utm_, fbclid, gclid, etc. from all links on page
(function() {
var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',
'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',
'ref', 'ref_src', 'source', 'medium', 'campaign'];
function cleanUrl(url) {
try {
var u = new URL(url, window.location.origin);
var changed = false;
trackingParams.forEach(function(p) {
if (u.searchParams.has(p)) {
u.searchParams.delete(p);
changed = true;
}
});
return changed ? u.toString() : url;
} catch (e) {
return url;
}
}
function cleanLinks() {
document.querySelectorAll('a[href]').forEach(function(a) {
var clean = cleanUrl(a.href);
if (clean !== a.href) a.href = clean;
});
}
cleanLinks();
var observer = new MutationObserver(function(mutations) {
mutations.forEach(function(m) {
m.addedNodes.forEach(function(node) {
if (node.nodeType === 1) {
if (node.tagName === 'A') cleanLinks();
node.querySelectorAll('a[href]').forEach(function(a) {
var clean = cleanUrl(a.href);
if (clean !== a.href) a.href = clean;
});
}
});
});
});
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '
Unable to interactively see matplotlib plots with `QtAgg` backend · Issue #858 · microsoft/debugpy · GitHub
          Skip to content
          Unable to interactively see matplotlib plots with QtAgg backend #858
          Closed
          Closed
          Unable to interactively see matplotlib plots with QtAgg backend#858
          Assignees
          fabioz
          Labels
          P2
          Description
          @cactus1549
          Cactus 1549 (cactus1549)
          opened on Mar 1, 2022
          Environment data
          • debugpy version: 1.5.1
          • OS and version: Windows 10 Pro 21H2 (64-bit) 10.0.19044
          • Python version (& distribution if applicable, e.g. Anaconda): 3.9.4
          • matplotlib
          Name Version Build Channel
matplotlib 3.4.2 pypi_0 pypi
matplotlib-base 3.5.1 py39h581301d_0 conda-forge
matplotlib-inline 0.1.3 pyhd8ed1ab_0 conda-forge

          The matplotlib settings are:
          backend QtAgg interactive True non interactive False

          • Using VS Code or Visual Studio: 1.64.2
          Actual behavior
          I would like to be able to debug python scripts that use matplotlib interactively. By interactively I mean placing a break point and watching my figure update as I actually step through my code.
          Expected behavior
          The figure does not update when stepping through code.
          Steps to reproduce:
          1. Create a python script test.py with the following code:
          import matplotlib.pyplot as plt
figure = plt.figure()
ax = plt.gca()
ax.plot([1,2,3])
ax.set_title("hello")
plt.show()

          1. Place a breakpoint on line 4 and then step through the following lines of code one by one.
          2. The figure appears blank and doesn't update.
          Metadata
          Metadata
          Assignees
          Labels
          P2
          Type
          No type
          Projects
          No projects
            Milestone
            No milestone
            Relationships
            None yet
            Development
            No branches or pull requests
            Issue actions
            
, 'i');
if (__m === '*' || __re.test(location.href)) {
// Auto-enable theater mode on YouTube
(function() {
function tryTheater() {
var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]');
if (btn && !btn.classList.contains('activated')) {
btn.click();
}
}
// Try immediately
tryTheater();
// Try after navigation (SPA)
var lastUrl = location.href;
setInterval(function() {
if (location.href !== lastUrl) {
lastUrl = location.href;
setTimeout(tryTheater, 500);
}
}, 1000);
// Also try on player load
var observer = new MutationObserver(tryTheater);
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
Unable to interactively see matplotlib plots with `QtAgg` backend · Issue #858 · microsoft/debugpy · GitHub
            Skip to content
            Unable to interactively see matplotlib plots with QtAgg backend #858
            Closed
            Closed
            Unable to interactively see matplotlib plots with QtAgg backend#858
            Assignees
            fabioz
            Labels
            P2
            Description
            @cactus1549
            Cactus 1549 (cactus1549)
            opened on Mar 1, 2022
            Environment data
            • debugpy version: 1.5.1
            • OS and version: Windows 10 Pro 21H2 (64-bit) 10.0.19044
            • Python version (& distribution if applicable, e.g. Anaconda): 3.9.4
            • matplotlib
            Name Version Build Channel
matplotlib 3.4.2 pypi_0 pypi
matplotlib-base 3.5.1 py39h581301d_0 conda-forge
matplotlib-inline 0.1.3 pyhd8ed1ab_0 conda-forge

            The matplotlib settings are:
            backend QtAgg interactive True non interactive False

            • Using VS Code or Visual Studio: 1.64.2
            Actual behavior
            I would like to be able to debug python scripts that use matplotlib interactively. By interactively I mean placing a break point and watching my figure update as I actually step through my code.
            Expected behavior
            The figure does not update when stepping through code.
            Steps to reproduce:
            1. Create a python script test.py with the following code:
            import matplotlib.pyplot as plt
figure = plt.figure()
ax = plt.gca()
ax.plot([1,2,3])
ax.set_title("hello")
plt.show()

            1. Place a breakpoint on line 4 and then step through the following lines of code one by one.
            2. The figure appears blank and doesn't update.
            Metadata
            Metadata
            Assignees
            Labels
            P2
            Type
            No type
            Projects
            No projects
              Milestone
              No milestone
              Relationships
              None yet
              Development
              No branches or pull requests
              Issue actions
              
, 'i');
if (__m === '*' || __re.test(location.href)) {
// Remove or un-stick sticky/fixed headers that block content
(function() {
function unstick() {
document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) {
if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {
el.style.position = 'static';
el.style.top = 'auto';
el.style.zIndex = 'auto';
}
});
}
unstick();
var observer = new MutationObserver(unstick);
observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });
})();
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
Unable to interactively see matplotlib plots with `QtAgg` backend · Issue #858 · microsoft/debugpy · GitHub
              Skip to content
              Unable to interactively see matplotlib plots with QtAgg backend #858
              Closed
              Closed
              Unable to interactively see matplotlib plots with QtAgg backend#858
              Assignees
              fabioz
              Labels
              P2
              Description
              @cactus1549
              Cactus 1549 (cactus1549)
              opened on Mar 1, 2022
              Environment data
              • debugpy version: 1.5.1
              • OS and version: Windows 10 Pro 21H2 (64-bit) 10.0.19044
              • Python version (& distribution if applicable, e.g. Anaconda): 3.9.4
              • matplotlib
              Name Version Build Channel
matplotlib 3.4.2 pypi_0 pypi
matplotlib-base 3.5.1 py39h581301d_0 conda-forge
matplotlib-inline 0.1.3 pyhd8ed1ab_0 conda-forge

              The matplotlib settings are:
              backend QtAgg interactive True non interactive False

              • Using VS Code or Visual Studio: 1.64.2
              Actual behavior
              I would like to be able to debug python scripts that use matplotlib interactively. By interactively I mean placing a break point and watching my figure update as I actually step through my code.
              Expected behavior
              The figure does not update when stepping through code.
              Steps to reproduce:
              1. Create a python script test.py with the following code:
              import matplotlib.pyplot as plt
figure = plt.figure()
ax = plt.gca()
ax.plot([1,2,3])
ax.set_title("hello")
plt.show()

              1. Place a breakpoint on line 4 and then step through the following lines of code one by one.
              2. The figure appears blank and doesn't update.
              Metadata
              Metadata
              Assignees
              Labels
              P2
              Type
              No type
              Projects
              No projects
                Milestone
                No milestone
                Relationships
                None yet
                Development
                No branches or pull requests
                Issue actions
                
, 'i');
if (__m === '*' || __re.test(location.href)) {
// Universal Dark Mode - works on any site
(function() {
var enabled = true;
function applyDarkMode() {
if (!enabled) return;
// Create style element if it doesn't exist
var style = document.getElementById('universal-dark-mode-style');
if (!style) {
style = document.createElement('style');
style.id = 'universal-dark-mode-style';
document.head.appendChild(style);
}
// Dark mode CSS - inverts colors but preserves images/video
style.textContent = '
/* Invert everything except media */
html {
filter: invert(1) hue-rotate(180deg) !important;
background: #1a1a2e !important;
}
/* Restore images, videos, iframes, canvas */
img, video, iframe, canvas, svg, picture, [style*="background-image"] {
filter: invert(1) hue-rotate(180deg) !important;
}
/* Preserve specific elements that should not be inverted */
.no-dark-mode, .no-dark-mode *,
[data-theme="light"], [data-theme="light"],
.ace_editor, .ace_editor *,
.CodeMirror, .CodeMirror *,
.monaco-editor, .monaco-editor *,
.markdown-body pre, .markdown-body pre *,
.highlight, .highlight *,
pre code, pre code * {
filter: none !important;
}
/* Fix common UI elements */
.modal, .popup, .dropdown-menu, .tooltip, .popover {
filter: invert(1) hue-rotate(180deg) !important;
background: #2d2d44 !important;
border-color: #444 !important;
}
/* Scrollbars */
::-webkit-scrollbar { background: #1a1a2e !important; }
::-webkit-scrollbar-thumb { background: #444 !important; }
::-webkit-scrollbar-thumb:hover { background: #555 !important; }
/* Selection */
::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
';
}
function removeDarkMode() {
var style = document.getElementById('universal-dark-mode-style');
if (style) style.remove();
}
// Toggle with Alt+Shift+D
document.addEventListener('keydown', function(e) {
if (e.altKey && e.shiftKey && e.key === 'D') {
e.preventDefault();
enabled = !enabled;
if (enabled) {
applyDarkMode();
console.log('[Universal Dark Mode] Enabled');
} else {
removeDarkMode();
console.log('[Universal Dark Mode] Disabled');
}
}
});
// Apply on load
applyDarkMode();
// Re-apply on dynamic content
var observer = new MutationObserver(function(mutations) {
if (enabled && !document.getElementById('universal-dark-mode-style')) {
applyDarkMode();
}
});
observer.observe(document.head, { childList: true });
console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');
})();
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();
Unable to interactively see matplotlib plots with `QtAgg` backend · Issue #858 · microsoft/debugpy · GitHub
                Skip to content
                Unable to interactively see matplotlib plots with QtAgg backend #858
                Closed
                Closed
                Unable to interactively see matplotlib plots with QtAgg backend#858
                Assignees
                fabioz
                Labels
                P2
                Description
                @cactus1549
                Cactus 1549 (cactus1549)
                opened on Mar 1, 2022
                Environment data
                • debugpy version: 1.5.1
                • OS and version: Windows 10 Pro 21H2 (64-bit) 10.0.19044
                • Python version (& distribution if applicable, e.g. Anaconda): 3.9.4
                • matplotlib
                Name Version Build Channel
matplotlib 3.4.2 pypi_0 pypi
matplotlib-base 3.5.1 py39h581301d_0 conda-forge
matplotlib-inline 0.1.3 pyhd8ed1ab_0 conda-forge

                The matplotlib settings are:
                backend QtAgg interactive True non interactive False

                • Using VS Code or Visual Studio: 1.64.2
                Actual behavior
                I would like to be able to debug python scripts that use matplotlib interactively. By interactively I mean placing a break point and watching my figure update as I actually step through my code.
                Expected behavior
                The figure does not update when stepping through code.
                Steps to reproduce:
                1. Create a python script test.py with the following code:
                import matplotlib.pyplot as plt
figure = plt.figure()
ax = plt.gca()
ax.plot([1,2,3])
ax.set_title("hello")
plt.show()

                1. Place a breakpoint on line 4 and then step through the following lines of code one by one.
                2. The figure appears blank and doesn't update.
                Metadata
                Metadata
                Assignees
                Labels
                P2
                Type
                No type
                Projects
                No projects
                  Milestone
                  No milestone
                  Relationships
                  None yet
                  Development
                  No branches or pull requests
                  Issue actions