millejoh / emacs-ipython-notebook

Jupyter notebook client in Emacs
http://millejoh.github.io/emacs-ipython-notebook/
GNU General Public License v3.0
1.47k stars 122 forks source link

Weird error #361

Closed falematte closed 5 years ago

falematte commented 6 years ago

Since yesterday I am not able to navigate to my shared folder in Owncloud with ein interface. I got this weird error when I try to open the folder:

ein: [error] ein:content-query-contents--error http://127.0.0.1:8888/ownCloudShared REQUEST-STATUS error DATA (http 404)

dickmao commented 6 years ago

So you are running a notebook server locally on 8888 from the parent directory of ownCloudShared, then M-x notebooklist-open or M-x notebooklist-login to 8888, and trying to enter ownCloudShared from the buffer *ein:notebooklist http://127.0.0.1:8888*?

Would be helpful to see the contents of the buffer *ein:log-all*

falematte commented 6 years ago

yep! Here is the log:

09:00:22:725: [info] Starting notebook server in directory: ~/ @#<buffer *scratch*> 09:00:35:431: [info] Login to http://127.0.0.1:8888 complete. Now you can open notebook list byein:notebooklist-open @#<buffer scratch> 09:00:35:506: [verbose] Opened notebooklist at http://127.0.0.1:8888/ @#<buffer ein:notebooklist http://127.0.0.1:8888> 11:51:47:877: [info] Notebook session is already running, check the contents of ein:jupyter-server @#<buffer .emacs> 11:51:47:877: [info] Starting notebook server in directory: ~/ @#<buffer .emacs> 11:51:47:917: [info] Login to http://127.0.0.1:8888 complete. Now you can open notebook list by ein:notebooklist-open @#<buffer .emacs> 11:51:47:940: [verbose] Opened notebooklist at http://127.0.0.1:8888/ @#<buffer *ein:notebooklist http://127.0.0.1:8888*> 12:59:35:962: [verbose] Opened notebooklist at http://127.0.0.1:8888/ownCloud @#<buffer *ein:notebooklist http://127.0.0.1:8888*> 12:59:39:206: [error] ein:content-query-contents--error http://127.0.0.1:8888/ownCloudShared REQUEST-STATUS error DATA (http 404) @#<buffer *ein:notebooklist http://127.0.0.1:8888*>

millejoh commented 6 years ago

@falematte, thanks for sharing the log. Have you confirmed that you can get to the directory using the browser interface? Also, can you share the contents of the *ein:jupyter-server* buffer? Looks like ein was able to log in; the 404 says that for some reason the jupyter server doesn't think that particular directory exists. Is it a symlink?

dickmao commented 6 years ago

Thank you. It looks like ein:jupyter-server-start was run at least twice. My experience has been that EIN doesn't handle two running servers so well. Recent changes prevent that.

I will assume you already have (add-to-list 'package-archives '("melpa" . "http://melpa.org/packages/")) in your .emacs.

Then it should be M-x package-refresh-contents, then M-x package-reinstall RET ein

Edit: I didn't see millejoh's preceding remarks. Yes, you should try what he asks too.

millejoh commented 5 years ago

Maybe all is good now? Reopen if not!

EvanMath commented 3 years ago

Hello and sorry I am writing in a closed thread but my issue is almost the same here. Here is the error: ein: [error] ein:content-query-contents--error http://127.0.0.1:8888/revisions_eda_first_approach.ipynb REQUEST-STATUS timeout DATA interrupt

Some notebooks open correctly but some of them throw the above error.

I have run ein:dev-bug-report-template and the last rows are the same like this: [W 21:36:52.072 NotebookApp] Notebook revisions_eda_first_approach.ipynb is not trusted.

I have already tried the above, to reinstall the package but the problem remains.

dickmao commented 3 years ago

Add to .emacs

(with-eval-after-load 'ein-contents-api
  (ein:dev-start-debug))

Then when the error reoccurs, M-x ein:dev-bug-report-template and copy output here.

EvanMath commented 3 years ago

Hello and thank you for your reply.

Just to clarify it, should I add this to my init.el or inside the ein configuration block?

dickmao commented 3 years ago

Is an "ein configuration block" a use-package clause? Does the "ein configuration block" live outside init.el? Maybe just put the with-eval-after-load in the init.el right after package-initialize. I am assuming you don't use doom or spacemacs.

EvanMath commented 3 years ago

Is an "ein configuration block" a use-package clause? Does the "ein configuration block" live outside init.el? Maybe just put the with-eval-after-load in the init.el right after package-initialize. I am assuming you don't use doom or spacemacs.

Yes, it is a use-package clause, correct. No, I am not using doom or spacemacs. Ok, the first try gave me a too long report. But I will add this snippet as you said.

dickmao commented 3 years ago

Then something like

(use-package ein
  :config
  (with-eval-after-load 'ein-contents-api
    (ein:dev-start-debug))
  ;; other :config clauses
  )

would also work. If by "first try" you mean the error triggered, and ein:dev-bug-report-template produced too much output, then I don't see how a future trigger would produce a shorter report.

EvanMath commented 3 years ago

Correct. Should I put all this output here?

EvanMath commented 3 years ago

Problem description

Steps to reproduce the problem

System info:

("EIN system info"
 :emacs-version
 "GNU Emacs 27.1 (build 1, x86_64-pc-linux-gnu, GTK+ Version 3.24.20, cairo version 1.16.0)
 of 2020-11-30"
 :window-system x
 :emacs-variant nil
 :build
 "--prefix=/snap/emacs/current/usr --with-x-toolkit=gtk3 --without-xaw3d --with-modules --with-cairo 'CFLAGS=-isystem/build/emacs/parts/emacs/install/usr/include -O2' CPPFLAGS=-isystem/build/emacs/parts/emacs/install/usr/include 'LDFLAGS=-L/build/emacs/parts/emacs/install/lib -L/build/emacs/parts/emacs/install/usr/lib -L/build/emacs/parts/emacs/install/lib/x86_64-linux-gnu -L/build/emacs/parts/emacs/install/usr/lib/x86_64-linux-gnu'"
 :os
 (:uname
  "Linux emath 5.8.0-40-generic #45~20.04.1-Ubuntu SMP Fri Jan 15 11:35:04 UTC 2021 x86_64 x86_64 x86_64 GNU/Linux
"
  :lsb-release
  "No LSB modules are available.
Distributor ID: Ubuntu
Description:    Ubuntu 20.04.1 LTS
Release:    20.04
Codename:   focal
")
 :jupyter
 "jupyter core     : 4.7.0
jupyter-notebook : 6.2.0
qtconsole        : not installed
ipython          : 7.13.0
ipykernel        : 5.4.3
jupyter client   : 6.1.11
jupyter lab      : not installed
nbconvert        : 6.0.7
ipywidgets       : not installed
nbformat         : 5.1.2
traitlets        : 4.3.3
"
 :image-types
 (svg png gif tiff jpeg xpm xbm pbm)
 :image-types-available
 (svg png gif tiff jpeg xpm xbm pbm)
 :request-backend curl
 :ein
 (:version "20210122.2112"
           :source-dir "/home/emath/.emacs.d/elpa/ein-20210122.2112/")
 :lib
 ((:name "websocket"
         :path "~/.emacs.d/elpa/websocket-20210110.17/websocket.elc"
         :featurep t
         :version-var websocket-version
         :version "1.12")
  (:name "anaphora"
         :path "~/.emacs.d/elpa/anaphora-20180618.2200/anaphora.elc"
         :featurep t
         :version-var nil
         :version nil)
  (:name "request"
         :path "~/.emacs.d/elpa/request-20201026.2324/request.elc"
         :featurep t
         :version-var request-version
         :version "0.3.0")
  (:name "deferred"
         :path "~/.emacs.d/elpa/deferred-20170901.1330/deferred.elc"
         :featurep t
         :version-var deferred:version
         :version "0.5.0")
  (:name "polymode"
         :path "~/.emacs.d/elpa/polymode-20200606.1106/polymode.elc"
         :featurep t
         :version-var nil
         :version nil)
  (:name "dash"
         :path "~/.emacs.d/elpa/dash-20210124.1524/dash.elc"
         :featurep t
         :version-var nil
         :version nil)
  (:name "with-editor"
         :path "~/.emacs.d/elpa/with-editor-20210117.2008/with-editor.elc"
         :featurep nil
         :version-var nil
         :version nil)))

Logs:

request-log:

[debug] request--curl: curl --silent --location --cookie /home/emath/.cache/emacs/var/request/storage/curl-cookie-jar --cookie-jar /home/emath/.cache/emacs/var/request/storage/curl-cookie-jar --include --write-out \n(:num-redirects %{num_redirects} :url-effective "%{url_effective}") --trace-ascii /tmp/curl-trace --compressed --data-binary @/tmp/emacs-request2iaUoc --header User-Agent: Mozilla/5.0 --header X-XSRFTOKEN: 2|705cdbca|805d7a3552166f5f00b13fc2f2178050|1611669679 http://127.0.0.1:8888/login
[debug] request--curl-callback: event finished

[debug] request--callback: UNPARSED
HTTP/1.1 200 OK
Server: TornadoServer/6.1
Content-Type: text/html; charset=UTF-8
Date: Wed, 27 Jan 2021 14:31:52 GMT
X-Content-Type-Options: nosniff
Content-Security-Policy: frame-ancestors 'self'; report-uri /api/security/csp-report
Etag: "00fdac9f3ed4075c277ee8fc03a60a0324101cf5"
Content-Length: 18267

<!DOCTYPE HTML>
<html>

<head>
    <meta charset="utf-8">

    <title>Home Page - Select or create a notebook</title>
    <link id="favicon" rel="shortcut icon" type="image/x-icon" href="/static/base/images/favicon.ico?v=50afa725b5de8b00030139d09b38620224d4e7dba47c07ef0e86d4643f30c9bfe6bb7e1a4a1c561aa32834480909a4b6fe7cd1e17f7159330b6b5914bf45a880">
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    <script src="/static/components/requirejs/require.js?v=d37b48bb2137faa0ab98157e240c084dd5b1b5e74911723aa1d1f04c928c2a03dedf922d049e4815f7e5a369faa2e6b6a1000aae958b7953b5cc60411154f593" type="text/javascript" charset="utf-8"></script>
    <script>
      require.config({

          urlArgs: "v=20210127163151",

          baseUrl: '/static/',
          paths: {
            'auth/js/main': 'auth/js/main.min',
            custom : '/custom',
            nbextensions : '/nbextensions',
            kernelspecs : '/kernelspecs',
            underscore : 'components/underscore/underscore-min',
            backbone : 'components/backbone/backbone-min',
            jed: 'components/jed/jed',
            jquery: 'components/jquery/jquery.min',
            json: 'components/requirejs-plugins/src/json',
            text: 'components/requirejs-text/text',
            bootstrap: 'components/bootstrap/dist/js/bootstrap.min',
            bootstraptour: 'components/bootstrap-tour/build/js/bootstrap-tour.min',
            'jquery-ui': 'components/jquery-ui/jquery-ui.min',
            moment: 'components/moment/min/moment-with-locales',
            codemirror: 'components/codemirror',
            termjs: 'components/xterm.js/xterm',
            typeahead: 'components/jquery-typeahead/dist/jquery.typeahead.min',
          },
          map: { // for backward compatibility
              "*": {
                  "jqueryui": "jquery-ui",
              }
          },
          shim: {
            typeahead: {
              deps: ["jquery"],
              exports: "typeahead"
            },
            underscore: {
              exports: '_'
            },
            backbone: {
              deps: ["underscore", "jquery"],
              exports: "Backbone"
            },
            bootstrap: {
              deps: ["jquery"],
              exports: "bootstrap"
            },
            bootstraptour: {
              deps: ["bootstrap"],
              exports: "Tour"
            },
            "jquery-ui": {
              deps: ["jquery"],
              exports: "$"
            }
          },
          waitSeconds: 30,
      });

      require.config({
          map: {
              '*':{
                'contents': 'services/contents',
              }
          }
      });

      // error-catching custom.js shim.
      define("custom", function (require, exports, module) {
          try {
              var custom = require('custom/custom');
              console.debug('loaded custom.js');
              return custom;
          } catch (e) {
              console.error("error loading custom.js", e);
              return {};
          }
      })

    document.nbjs_translations = {"domain": "nbjs", "locale_data": {"nbjs": {"": {"domain": "nbjs"}}}};
    document.documentElement.lang = navigator.language.toLowerCase();
    </script>

</head>

<body class=""

    data-jupyter-api-token="2da51fc8410ec35daa276dff29cd07d1184c216b195c60e6"

data-base-url="/"
data-notebook-path=""
data-terminals-available="True"
data-server-root="~/google-drive/MSc Data Science/AI Lab-Research/Wikipedia API"

dir="ltr">

<noscript>
    <div id='noscript'>
      Jupyter Notebook requires JavaScript.<br>
      Please enable it to proceed. 
  </div>
</noscript>

<div id="header" role="navigation" aria-label="Top Menu">
  <div id="header-container" class="container">
  <div id="ipython_notebook" class="nav navbar-brand"><a href="/tree?token=2da51fc8410ec35daa276dff29cd07d1184c216b195c60e6" title='dashboard'>
      <img src='/static/base/images/logo.png?v=a2a176ee3cee251ffddf5fa21fe8e43727a9e5f87a06f9c91ad7b776d9e9d3d5e0159c16cc188a3965e00375fb4bc336c16067c688f5040c0c2d4bfdb852a9e4' alt='Jupyter Notebook'/>
  </a></div>

  <span class="flex-spacer"></span>

    <span id="shutdown_widget">
      <button id="shutdown" class="btn btn-sm navbar-btn"
              title="Stop the Jupyter server">
          Quit
      </button>
    </span>

    <span id="login_widget">

        <button id="logout" class="btn btn-sm navbar-btn">Logout</button>

    </span>

  </div>
  <div class="header-bar"></div>

</div>

<div id="site">

  <div id="ipython-main-app" class="container">
    <div id="tab_content" class="tabbable" role="main">
      <ul id="tabs" class="nav nav-tabs">
        <li class="active"><a href="#notebooks" data-toggle="tab">Files</a></li>
        <li><a href="#running" data-toggle="tab">Running</a></li>
        <li><a href="#clusters" data-toggle="tab" class="clusters_tab_link" >Clusters</a></li>
      </ul>
      <div class="tab-content">
        <div id="notebooks" class="tab-pane active">
          <div id="notebook_toolbar" class="row">
            <div class="col-sm-8 no-padding">
              <div class="dynamic-instructions">
                Select items to perform actions on them.
              </div>
              <div class="dynamic-buttons">
                  <button  title="Duplicate selected" aria-label="Duplicate selected" class="duplicate-button btn btn-default btn-xs" aria-describedby="tooltip1">Duplicate </button>
                  <div role="tooltip" id="tooltip1" >Duplicate selected</div>
                  <button title="Rename selected" aria-label="Rename selected" class="rename-button btn btn-default btn-xs" aria-describedby="tooltip2">Rename</button>
                  <div role="tooltip" id="tooltip2" >Rename selected</div> 
                  <button title="Move selected" aria-label="Move selected" class="move-button btn btn-default btn-xs" aria-describedby="tooltip3">Move</button>
                  <div role="tooltip" id="tooltip3" >Move selected</div> 
                  <button title="Download selected" aria-label="Download selected" class="download-button btn btn-default btn-xs" aria-describedby="tooltip4">Download</button>
                  <div role="tooltip" id="tooltip4" >Download selected</div>
                  <button title="Shutdown selected notebook(s)" aria-label="Shutdown selected notebook(s)" class="shutdown-button btn btn-default btn-xs btn-warning" aria-describedby="tooltip5">Shutdown</button>
                  <div role="tooltip" id="tooltip5" >Shutdown selected notebook(s)</div>  
                  <button title="View selected" aria-label="View selected" class="view-button btn btn-default btn-xs" aria-describedby="tooltip6">View</button>
                  <div role="tooltip" id="tooltip6" >View selected</div> 
                  <button title="Edit selected" aria-label="Edit selected" class="edit-button btn btn-default btn-xs" aria-describedby="tooltip7">Edit</button>
                  <div role="tooltip" id="tooltip7" >Edit selected</div>  
                  <button title="Delete selected" aria-label="Delete selected" class="delete-button btn btn-default btn-xs btn-danger" aria-describedby="tooltip8">
                    <i class="fa fa-trash"></i>
                  </button>
                  <div role="tooltip" id="tooltip8" >Delete selected</div>
              </div>
            </div>
            <div class="col-sm-4 no-padding tree-buttons">
              <div class="pull-right">
                <form id='alternate_upload'  class='alternate_upload'>
                  <span id="notebook_list_info">
                  <span id="upload_span" class="btn btn-xs btn-default btn-upload" role="button" tabindex="0">
                    <input id="upload_span_input" title="Click to browse for a file to upload." type="file" name="datafile" class="fileinput" multiple='multiple' tabindex="-1">
                    Upload
                  </span>
                  </span>
                </form>
                <div id="new-buttons" class="btn-group">
                  <button class="dropdown-toggle btn btn-default btn-xs" id="new-dropdown-button" data-toggle="dropdown">
                  <span>New</span>
                  <span class="caret"></span>
                  <span class="sr-only">Toggle Dropdown</span>
                  </button>
                  <ul id="new-menu" class="dropdown-menu" role="menu">
                    <li role="menuitem" class="dropdown-header" id="notebook-kernels">Notebook:</li>
                    <li role="presentation" class="divider"></li>
                    <li role="menuitem" class="dropdown-header" >Other:</li>
                    <li role="none" id="new-file">
                        <a role="menuitem" tabindex="-1" href="#">Text File</a>
                    </li>
                    <li role="none" id="new-folder">
                        <a role="menuitem" tabindex="-1" href="#">Folder</a>
                    </li>

                    <li role="none" id="new-terminal">
                        <a role="menuitem" tabindex="-1" href="#">Terminal</a>
                    </li>

                  </ul>
                </div>
                <div class="btn-group">
                    <button id="refresh_notebook_list" title="Refresh notebook list"  aria-label="Refresh notebook list" class="btn btn-default btn-xs"><i class="fa fa-refresh"></i></button>
                </div>
              </div>
            </div>
          </div>
          <div id="notebook_list">
            <div id="notebook_list_header" class="row list_header">
              <div class="btn-group dropdown" id="tree-selector">
                <button title="Select All / None" aria-label="Select All / None" type="button" class="btn btn-default btn-xs" id="button-select-all" role="checkbox">
                  <input type="checkbox" class="pull-left tree-selector" id="select-all" tabindex="-1"><span id="counter-select-all">&nbsp;</span></input>
                </button>
                <button title="Select Folders/All Notebooks/Running/Files" class="btn btn-default btn-xs dropdown-toggle" type="button" id="tree-selector-btn" data-toggle="dropdown" aria-expanded="true">
                  <span class="sr-only">checkbox</span>
                  <span class="caret"></span>
                  <span class="sr-only">Toggle Dropdown</span>
                </button>
                <ul id='selector-menu' class="dropdown-menu" role="menu" aria-labelledby="tree-selector-btn">
                  <li role="none"><a id="select-folders" role="menuitem" tabindex="-1" href="#" title="Select All Folders"><i class="menu_icon folder_icon icon-fixed-width"></i>&nbsp;Folders</a></li>
                  <li role="none"><a id="select-notebooks" role="menuitem" tabindex="-1" href="#" title="Select All Notebooks"><i class="menu_icon notebook_icon icon-fixed-width"></i>&nbsp;All Notebooks</a></li>
                  <li role="none"><a id="select-running-notebooks" role="menuitem" tabindex="-1" href="#" title="Select Running Notebooks"><i class="menu_icon running_notebook_icon icon-fixed-width"></i>&nbsp;Running</a></li>
                  <li role="none"><a id="select-files" role="menuitem" tabindex="-1" href="#" title="Select All Files"><i class="menu_icon file_icon icon-fixed-width"></i>&nbsp;Files</a></li>
                </ul>
              </div>
              <div id="project_name">
                <ul class="breadcrumb">
                  <li><a href="/tree"><i class="fa fa-folder" alt="folder icon"></i></a></li>

                </ul>
              </div>
              <div id="sort_buttons" class="pull-right">
                <div id="sort_name" class="sort_button">
                  <button type="button" class="btn btn-xs btn-default sort-action" id="sort-name" aria-label="Sort by name">
                        Name
                        <i class="fa fa-arrow-down"></i>
                  </button>
                </div>
                <div id="last_modified" class="sort_button">
                    <button type="button" class="btn btn-xs btn-default sort-action" id="last-modified" aria-label="Sort by last modified">
                        Last Modified
                        <i class="fa"></i>
                    </button>
                </div>
                <div id="file_size" class="sort_button">
                    <button type="button" class="btn btn-xs btn-default sort-action" id="file-size" aria-label="Sort by file size">
                        File size
                        <i class="fa"></i>
                    </button>
                </div>
              </div>
            </div>
          </div>
        </div>
        <div id="running" class="tab-pane">
          <div id="running_toolbar" class="row">
            <div class="col-sm-8 no-padding">
              <span id="running_list_info">Currently running Jupyter processes</span>
            </div>
            <div class="col-sm-4 no-padding tree-buttons">
              <span id="running_buttons" class="pull-right">
              <button id="refresh_running_list" title="Refresh running list" aria-label="Refresh running list" class="btn btn-default btn-xs"><i class="fa fa-refresh"></i></button>
              </span>
            </div>
          </div>
          <div class="panel-group" id="accordion" >
            <div class="panel panel-default">
              <div class="panel-heading">
                <a data-toggle="collapse" data-target="#collapseOne" href="#">
                  Terminals
                </a>
              </div>
              <div id="collapseOne" class=" collapse in">
                <div class="panel-body">
                  <div id="terminal_list">
                    <div id="terminal_list_header" class="row list_placeholder">

                      <div> There are no terminals running. </div>

                    </div>
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[debug] request--callback: PARSED
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[debug] request--callback: executing success
[debug] request--callback: executing complete
[debug] request--curl-callback: event finished

[debug] request--callback: UNPARSED
HTTP/1.1 200 OK
Server: TornadoServer/6.1
Content-Type: application/json
Date: Wed, 27 Jan 2021 14:31:52 GMT
X-Content-Type-Options: nosniff
Content-Security-Policy: frame-ancestors 'self'; report-uri /api/security/csp-report; default-src 'none'
Last-Modified: Wed, 16 Dec 2020 19:46:13 GMT
Etag: "5312d475841c50a91cf0b66719478a0342a15bb8"
Content-Length: 4173

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[debug] request--callback: PARSED
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[debug] request--callback: executing success
[debug] request--callback: executing complete
[debug] request--curl: curl --silent --location --cookie /home/emath/.cache/emacs/var/request/storage/curl-cookie-jar --cookie-jar /home/emath/.cache/emacs/var/request/storage/curl-cookie-jar --include --write-out \n(:num-redirects %{num_redirects} :url-effective "%{url_effective}") --trace-ascii /tmp/curl-trace --compressed --request GET --header User-Agent: Mozilla/5.0 --header X-XSRFTOKEN: 2|705cdbca|805d7a3552166f5f00b13fc2f2178050|1611669679 http://127.0.0.1:8888/api/contents/revisions_eda_first_approach.ipynb
[debug] request--curl-callback: event interrupt

[debug] request--callback: UNPARSED
HTTP/1.1 200 OK
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Date: Wed, 27 Jan 2021 14:31:56 GMT
X-Content-Type-Options: nosniff
Content-Security-Policy: frame-ancestors 'self'; report-uri /api/security/csp-report; default-src 'none'
Last-Modified: Wed, 20 Jan 2021 14:00:36 GMT
Etag: "e0ddc7a2a578b9b6ca1fcc5023607c83bfc621ea"
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ein:log-all:

16:31:50:738: [info] ein:jupyter-server--run: /home/emath/anaconda3/bin/jupyter notebook --notebook-dir=/home/emath/google-drive/MSc Data Science/AI Lab-Research/Wikipedia API/ --debug --no-browser @#<buffer *scratch*>
16:31:52:198: [debug] Login attempt #0 in response to nil from http://127.0.0.1:8888. @#<buffer *scratch*>
16:31:52:199: [debug] EIN:QUERY-PREPARE-HEADER: Found xsrf: 2|705cdbca|805d7a3552166f5f00b13fc2f2178050|1611669679 @#<buffer *scratch*>
16:31:52:283: [info] Login to http://127.0.0.1:8888 complete. @#<buffer *scratch*>
16:31:52:285: [debug] EIN:QUERY-PREPARE-HEADER: Found xsrf: 2|705cdbca|805d7a3552166f5f00b13fc2f2178050|1611669679 @#<buffer *scratch*>
16:31:52:287: [debug] ein:notebooklist-login--complete STATUS: 200 DATA: (:bad-page nil) @#<buffer *scratch*>
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16:31:52:318: [debug] EIN:QUERY-PREPARE-HEADER: Found xsrf: 2|705cdbca|805d7a3552166f5f00b13fc2f2178050|1611669679 @#<buffer *scratch*>
16:31:52:351: [debug] EIN:QUERY-PREPARE-HEADER: Found xsrf: 2|705cdbca|805d7a3552166f5f00b13fc2f2178050|1611669679 @#<buffer *scratch*>
16:31:52:352: [debug] ein:query-kernelspecs--complete STATUS: 200 DATA: (:default python3 :kernelspecs (:python3 (:name python3 :spec (:argv [python -m ipykernel_launcher -f {connection_file}] :env nil :display_name Python 3 :language python :interrupt_mode signal :metadata nil) :resources (:logo-32x32 /kernelspecs/python3/logo-32x32.png :logo-64x64 /kernelspecs/python3/logo-64x64.png)))) @#<buffer *scratch*>
16:31:52:359: [debug] EIN:QUERY-PREPARE-HEADER: Found xsrf: 2|705cdbca|805d7a3552166f5f00b13fc2f2178050|1611669679 @#<buffer *scratch*>
16:31:52:390: [debug] EIN:QUERY-PREPARE-HEADER: Found xsrf: 2|705cdbca|805d7a3552166f5f00b13fc2f2178050|1611669679 @#<buffer *scratch*>
16:31:52:392: [debug] ein:query-sessions--complete STATUS: 200 DATA: [] @#<buffer *scratch*>
16:31:52:393: [verbose] Opening notebooklist at http://127.0.0.1:8888 @#<buffer *scratch*>
16:31:52:403: [debug] EIN:QUERY-PREPARE-HEADER: Found xsrf: 2|705cdbca|805d7a3552166f5f00b13fc2f2178050|1611669679 @#<buffer *ein:notebooklist http://127.0.0.1:8888*>
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16:31:52:548: [debug] EIN:QUERY-PREPARE-HEADER: Found xsrf: 2|705cdbca|805d7a3552166f5f00b13fc2f2178050|1611669679 @#<buffer *ein:notebooklist http://127.0.0.1:8888*>
16:31:52:549: [debug] EIN:QUERY-PREPARE-HEADER: Found xsrf: 2|705cdbca|805d7a3552166f5f00b13fc2f2178050|1611669679 @#<buffer *ein:notebooklist http://127.0.0.1:8888*>
16:31:52:550: [debug] ein:query-contents--complete STATUS: 200 DATA: (:name  :path  :last_modified 2020-11-06T09:10:04Z :created 2020-11-06T09:10:04Z :content [(:name Sentiment_Analysis.ipynb :path Sentiment_Analysis.ipynb :last_modified 2020-11-25T19:50:33Z :created 2020-11-25T19:50:33Z :content nil :format nil :mimetype nil :size 41747 :writable t :type notebook) (:name download_revisions.ipynb :path download_revisions.ipynb :last_modified 2021-01-20T14:06:10Z :created 2021-01-20T14:06:10Z :content nil :format nil :mimetype nil :size 30298 :writable t :type notebook) (:name Images :path Images :last_modified 2020-12-16T19:46:13Z :created 2020-12-16T19:46:13Z :content nil :format nil :mimetype nil :size nil :writable t :type directory) (:name LingBiasWiki.pdf :path LingBiasWiki.pdf :last_modified 2021-01-23T14:53:33Z :created 2021-01-23T14:53:33Z :content nil :format nil :mimetype application/pdf :size 512193 :writable t :type file) (:name eda_timeseries_analysis.ipynb :path eda_times @#<buffer *ein:notebooklist http://127.0.0.1:8888*>
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16:31:56:903: [debug] EIN:QUERY-PREPARE-HEADER: Found xsrf: 2|705cdbca|805d7a3552166f5f00b13fc2f2178050|1611669679 @#<buffer *ein:notebooklist http://127.0.0.1:8888*>
16:31:57:994: [verbose] Retry content-query-contents #0 in response to nil @#<buffer *ein:notebooklist http://127.0.0.1:8888*>
16:31:58:499: [debug] EIN:QUERY-PREPARE-HEADER: Found xsrf: 2|705cdbca|805d7a3552166f5f00b13fc2f2178050|1611669679 @#<buffer *ein:notebooklist http://127.0.0.1:8888*>
16:31:58:502: [debug] ein:query-contents--complete STATUS: nil DATA: nil @#<buffer *ein:notebooklist http://127.0.0.1:8888*>
16:31:59:531: [verbose] Retry content-query-contents #1 in response to nil @#<buffer *ein:notebooklist http://127.0.0.1:8888*>
16:32:00:534: [debug] EIN:QUERY-PREPARE-HEADER: Found xsrf: 2|705cdbca|805d7a3552166f5f00b13fc2f2178050|1611669679 @#<buffer *ein:notebooklist http://127.0.0.1:8888*>
16:32:00:538: [debug] ein:query-contents--complete STATUS: nil DATA: nil @#<buffer *ein:notebooklist http://127.0.0.1:8888*>
16:32:01:618: [verbose] Retry content-query-contents #2 in response to nil @#<buffer *ein:notebooklist http://127.0.0.1:8888*>
16:32:03:123: [debug] EIN:QUERY-PREPARE-HEADER: Found xsrf: 2|705cdbca|805d7a3552166f5f00b13fc2f2178050|1611669679 @#<buffer *ein:notebooklist http://127.0.0.1:8888*>
16:32:03:126: [debug] ein:query-contents--complete STATUS: nil DATA: nil @#<buffer *ein:notebooklist http://127.0.0.1:8888*>
16:32:04:153: [error] ein:content-query-contents--error http://127.0.0.1:8888/revisions_eda_first_approach.ipynb REQUEST-STATUS timeout DATA interrupt
 @#<buffer *ein:notebooklist http://127.0.0.1:8888*>
16:32:04:163: [debug] ein:query-contents--complete STATUS: nil DATA: nil @#<buffer *ein:notebooklist http://127.0.0.1:8888*>
16:32:10:320: [warn] ein:dev-packages: Don’t call me! @#<buffer  *temp*>

ein server:

[D 16:31:51.026 NotebookApp] Searching ['/home/emath', '/home/emath/.jupyter', '/home/emath/anaconda3/etc/jupyter', '/usr/local/etc/jupyter', '/etc/jupyter'] for config files
[D 16:31:51.027 NotebookApp] Looking for jupyter_config in /etc/jupyter
[D 16:31:51.027 NotebookApp] Looking for jupyter_config in /usr/local/etc/jupyter
[D 16:31:51.027 NotebookApp] Looking for jupyter_config in /home/emath/anaconda3/etc/jupyter
[D 16:31:51.027 NotebookApp] Looking for jupyter_config in /home/emath/.jupyter
[D 16:31:51.027 NotebookApp] Looking for jupyter_config in /home/emath
[D 16:31:51.028 NotebookApp] Looking for jupyter_notebook_config in /etc/jupyter
[D 16:31:51.028 NotebookApp] Looking for jupyter_notebook_config in /usr/local/etc/jupyter
[D 16:31:51.028 NotebookApp] Looking for jupyter_notebook_config in /home/emath/anaconda3/etc/jupyter
[D 16:31:51.028 NotebookApp] Loaded config file: /home/emath/anaconda3/etc/jupyter/jupyter_notebook_config.json
[D 16:31:51.028 NotebookApp] Looking for jupyter_notebook_config in /home/emath/.jupyter
[D 16:31:51.029 NotebookApp] Looking for jupyter_notebook_config in /home/emath
[D 16:31:51.029 NotebookApp] Raising open file limit: soft 1024->4096; hard 1048576->1048576
[D 16:31:51.032 NotebookApp] Paths used for configuration of jupyter_notebook_config: 
        /etc/jupyter/jupyter_notebook_config.json
[D 16:31:51.033 NotebookApp] Paths used for configuration of jupyter_notebook_config: 
        /usr/local/etc/jupyter/jupyter_notebook_config.json
[D 16:31:51.033 NotebookApp] Paths used for configuration of jupyter_notebook_config: 
        /home/emath/anaconda3/etc/jupyter/jupyter_notebook_config.d/jupyterlab.json
        /home/emath/anaconda3/etc/jupyter/jupyter_notebook_config.json
[D 16:31:51.034 NotebookApp] Paths used for configuration of jupyter_notebook_config: 
        /home/emath/.jupyter/jupyter_notebook_config.json
[I 16:31:51.308 NotebookApp] JupyterLab extension loaded from /home/emath/anaconda3/lib/python3.8/site-packages/jupyterlab
[I 16:31:51.308 NotebookApp] JupyterLab application directory is /home/emath/anaconda3/share/jupyter/lab
[I 16:31:51.310 NotebookApp] Serving notebooks from local directory: /home/emath/google-drive/MSc Data Science/AI Lab-Research/Wikipedia API
[I 16:31:51.310 NotebookApp] Jupyter Notebook 6.2.0 is running at:
[I 16:31:51.310 NotebookApp] http://localhost:8888/?
[I 16:31:51.310 NotebookApp]  or http://127.0.0.1:8888/?
[I 16:31:51.310 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
[C 16:31:51.313 NotebookApp] 

    To access the notebook, open this file in a browser:
        file:///home/emath/.local/share/jupyter/runtime/nbserver-4410-open.html
    Or copy and paste one of these URLs:
        http://localhost:8888/?
[I 16:31:52.220 NotebookApp] 302 POST /login (127.0.0.1) 1.540000ms
[I 16:31:52.221 NotebookApp] 302 GET / (127.0.0.1) 0.410000ms
[D 16:31:52.223 NotebookApp] Using contents: services/contents
[D 16:31:52.262 NotebookApp] Path base/images/favicon.ico served from /home/emath/.local/lib/python3.8/site-packages/notebook/static/base/images/favicon.ico
[D 16:31:52.262 NotebookApp] Path components/jquery-ui/themes/smoothness/jquery-ui.min.css served from /home/emath/.local/lib/python3.8/site-packages/notebook/static/components/jquery-ui/themes/smoothness/jquery-ui.min.css
[D 16:31:52.263 NotebookApp] Path components/jquery-typeahead/dist/jquery.typeahead.min.css served from /home/emath/.local/lib/python3.8/site-packages/notebook/static/components/jquery-typeahead/dist/jquery.typeahead.min.css
[D 16:31:52.263 NotebookApp] Path style/style.min.css served from /home/emath/.local/lib/python3.8/site-packages/notebook/static/style/style.min.css
[D 16:31:52.263 NotebookApp] Path components/es6-promise/promise.min.js served from /home/emath/.local/lib/python3.8/site-packages/notebook/static/components/es6-promise/promise.min.js
[D 16:31:52.264 NotebookApp] Path components/react/react.production.min.js served from /home/emath/.local/lib/python3.8/site-packages/notebook/static/components/react/react.production.min.js
[D 16:31:52.264 NotebookApp] Path components/react/react-dom.production.min.js served from /home/emath/.local/lib/python3.8/site-packages/notebook/static/components/react/react-dom.production.min.js
[D 16:31:52.264 NotebookApp] Path components/create-react-class/index.js served from /home/emath/.local/lib/python3.8/site-packages/notebook/static/components/create-react-class/index.js
[D 16:31:52.264 NotebookApp] Path components/requirejs/require.js served from /home/emath/.local/lib/python3.8/site-packages/notebook/static/components/requirejs/require.js
[D 16:31:52.265 NotebookApp] Path base/images/logo.png served from /home/emath/.local/lib/python3.8/site-packages/notebook/static/base/images/logo.png
[D 16:31:52.265 NotebookApp] Path tree/js/main.min.js served from /home/emath/.local/lib/python3.8/site-packages/notebook/static/tree/js/main.min.js
[D 16:31:52.268 NotebookApp] 200 GET /tree (127.0.0.1) 46.590000ms
[D 16:31:52.298 NotebookApp] 200 GET /api (127.0.0.1) 1.460000ms
[D 16:31:52.337 NotebookApp] Found kernel python3 in /home/emath/.local/share/jupyter/kernels
[D 16:31:52.341 NotebookApp] 200 GET /api/kernelspecs (127.0.0.1) 4.790000ms
[D 16:31:52.375 NotebookApp] 200 GET /api/contents (127.0.0.1) 9.040000ms
[D 16:31:52.380 NotebookApp] 200 GET /api/sessions (127.0.0.1) 2.300000ms
[D 16:31:52.409 NotebookApp] 200 GET /api/contents (127.0.0.1) 4.930000ms
[D 16:31:52.416 NotebookApp] 200 GET /api/sessions (127.0.0.1) 0.900000ms
[D 16:31:52.563 NotebookApp] 200 GET /api/contents/Images (127.0.0.1) 6.950000ms
[D 16:31:52.567 NotebookApp] 200 GET /api/contents/Data (127.0.0.1) 3.580000ms
[W 16:31:56.952 NotebookApp] Notebook revisions_eda_first_approach.ipynb is not trusted
[D 16:31:56.975 NotebookApp] 200 GET /api/contents/revisions_eda_first_approach.ipynb (127.0.0.1) 60.630000ms
[W 16:31:58.575 NotebookApp] Notebook revisions_eda_first_approach.ipynb is not trusted
[D 16:31:58.597 NotebookApp] 200 GET /api/contents/revisions_eda_first_approach.ipynb (127.0.0.1) 73.720000ms
[W 16:32:00.603 NotebookApp] Notebook revisions_eda_first_approach.ipynb is not trusted
[D 16:32:00.624 NotebookApp] 200 GET /api/contents/revisions_eda_first_approach.ipynb (127.0.0.1) 61.040000ms
[W 16:32:03.204 NotebookApp] Notebook revisions_eda_first_approach.ipynb is not trusted
[D 16:32:03.227 NotebookApp] 200 GET /api/contents/revisions_eda_first_approach.ipynb (127.0.0.1) 73.560000ms
EvanMath commented 3 years ago

It has a lot more stuff.

dickmao commented 3 years ago

Maybe this is not going to work, in which case I apologize and thank you for your interest.

I saw no mention of ein:content-query-contents--error http://127.0.0.1:8888/revisions_eda_first_approach.ipynb REQUEST-STATUS timeout DATA interrupt, and I saw no commentary for "the steps to reproduce the problem." Here is how I'd like to report to look:

Problem description

No problem found.

Steps to reproduce the problem

emacs -Q -f package-initialize C-x C-f foo.ipynb C-c C-o

System info:

("EIN system info"
 :emacs-version
 "GNU Emacs 27.1.90 (build 3, x86_64-pc-linux-gnu, GTK+ Version 3.22.30)
 of 2021-01-15"
 :window-system x
 :emacs-variant nil
 :build
 "--prefix=/home/dick/.local --with-rsvg=yes --with-xml2=yes PKG_CONFIG_PATH=/home/dick/.local/lib/pkgconfig"
 :os
 (:uname
  "Linux dick 4.15.0-99-generic #100-Ubuntu SMP Wed Apr 22 20:32:56 UTC 2020 x86_64 x86_64 x86_64 GNU/Linux
"
  :lsb-release
  "No LSB modules are available.
Distributor ID: Ubuntu
Description:    Ubuntu 18.04.4 LTS
Release:    18.04
Codename:   bionic
")
 :jupyter
 "jupyter core     : 4.6.3
jupyter-notebook : 6.1.5
qtconsole        : 4.7.3
ipython          : 7.14.0
ipykernel        : 5.2.1
jupyter client   : 6.1.3
jupyter lab      : not installed
nbconvert        : 5.6.1
ipywidgets       : 7.5.1
nbformat         : 5.0.6
traitlets        : 4.3.3
"
 :image-types
 (svg png gif tiff jpeg xpm xbm pbm postscript)
 :image-types-available
 (svg png gif tiff jpeg xpm xbm pbm postscript)
 :request-backend curl
 :ein
 (:version "0.17.0"
           :source-dir "/home/dick/.emacs.d/elpa/ein-0.17.0/")
 :lib
 ((:name "websocket"
         :path "~/.emacs.d/elpa/websocket-20200102.637/websocket.elc"
         :featurep t
         :version-var websocket-version
         :version "1.12")
  (:name "anaphora"
         :path "~/.emacs.d/elpa/anaphora-20180618.1800/anaphora.elc"
         :featurep t
         :version-var nil
         :version nil)
  (:name "request"
         :path "~/.emacs.d/elpa/request-20200517.1305/request.elc"
         :featurep t
         :version-var request-version
         :version "0.3.0")
  (:name "deferred"
         :path "~/.emacs.d/elpa/deferred-20170901.630/deferred.elc"
         :featurep t
         :version-var deferred:version
         :version "0.5.0")
  (:name "polymode"
         :path "~/.emacs.d/elpa/polymode-20200606.1106/polymode.elc"
         :featurep t
         :version-var nil
         :version nil)
  (:name "dash"
         :path "~/.emacs.d/elpa/dash-20200524.1947/dash.elc"
         :featurep t
         :version-var nil
         :version nil)
  (:name "with-editor"
         :path "~/.emacs.d/elpa/with-editor-20200522.1112/with-editor.elc"
         :featurep t
         :version-var nil
         :version nil)))

Logs:

http://127.0.0.1:8888/pytorch-fcn-resnet50-in-20-minute.ipynb:

[WS] Sending handshake, key: znU9WVoRJPrPWn3iu1m/PQ==, acceptance: lzqveT9jxLsN0CmiPbTjeY76M44=
[WS] Received: HTTP/1.1 101 Switching Protocols
Server: TornadoServer/6.0.4
Date: Wed, 27 Jan 2021 13:54:46 GMT
Upgrade: websocket
Connection: Upgrade
Sec-Websocket-Accept: lzqveT9jxLsN0CmiPbTjeY76M44=

[WS] Checking for accept header regexp: Sec-Web[Ss]ocket-Accept: lzqveT9jxLsN0CmiPbTjeY76M44=
[WS] Checking for upgrade header
[WS] Checking for connection header

request-log:

[debug] request--curl: curl --silent --location --cookie /home/dick/.emacs.d/request/curl-cookie-jar --cookie-jar /home/dick/.emacs.d/request/curl-cookie-jar --include --write-out \n(:num-redirects %{num_redirects} :url-effective "%{url_effective}") --trace-ascii /tmp/curl-trace --compressed --header User-Agent: Mozilla/5.0 --header X-XSRFTOKEN: 2|44521dd7|26335ed7314979bf657d29ae512830c0|1605672558 http://127.0.0.1:8888/api
[debug] request--curl-callback: event finished

[debug] request--callback: UNPARSED
HTTP/1.1 200 OK
Server: TornadoServer/6.0.4
Content-Type: application/json
Date: Wed, 27 Jan 2021 13:54:45 GMT
X-Content-Type-Options: nosniff
Content-Security-Policy: frame-ancestors 'self'; report-uri /api/security/csp-report; default-src 'none'
Etag: "7cfb06929dd1058529bc973b5170ef0bee204d78"
Content-Length: 20

{"version": "6.1.5"}
[debug] request--callback: PARSED
(:version 6.1.5)
[debug] request--callback: executing complete
[debug] request--curl: curl --silent --location --cookie /home/dick/.emacs.d/request/curl-cookie-jar --cookie-jar /home/dick/.emacs.d/request/curl-cookie-jar --include --write-out \n(:num-redirects %{num_redirects} :url-effective "%{url_effective}") --trace-ascii /tmp/curl-trace --compressed --request GET --header User-Agent: Mozilla/5.0 --header X-XSRFTOKEN: 2|44521dd7|26335ed7314979bf657d29ae512830c0|1605672558 http://127.0.0.1:8888/api/kernelspecs
[debug] request--curl-callback: event finished

[debug] request--callback: UNPARSED
HTTP/1.1 200 OK
Server: TornadoServer/6.0.4
Content-Type: application/json
Date: Wed, 27 Jan 2021 13:54:45 GMT
X-Content-Type-Options: nosniff
Content-Security-Policy: frame-ancestors 'self'; report-uri /api/security/csp-report; default-src 'none'
Etag: "82302e34cb2b4dca8cdb88d818af443c8822eb93"
Content-Length: 2772

{"default": "python3", "kernelspecs": {"haskell": {"name": "haskell", "spec": {"argv": ["/home/dick/.local/bin/ihaskell", "kernel", "{connection_file}", "--ghclib", "/home/dick/.stack/programs/x86_64-linux/ghc-8.6.5/lib/ghc-8.6.5", "+RTS", "-M3g", "-N2", "-RTS", "--stack"], "env": {}, "display_name": "Haskell", "language": "haskell", "interrupt_mode": "signal", "metadata": {}}, "resources": {"kernel.js": "/kernelspecs/haskell/kernel.js", "logo-64x64": "/kernelspecs/haskell/logo-64x64.svg"}}, "xcpp17": {"name": "xcpp17", "spec": {"argv": ["/home/dick/miniconda3/envs/cling/bin/xcpp", "-f", "{connection_file}", "-std=c++17"], "env": {}, "display_name": "C++17", "language": "C++17", "interrupt_mode": "signal", "metadata": {}}, "resources": {"logo-32x32": "/kernelspecs/xcpp17/logo-32x32.png", "logo-64x64": "/kernelspecs/xcpp17/logo-64x64.png"}}, "ir": {"name": "ir", "spec": {"argv": ["/usr/lib/R/bin/R", "--slave", "-e", "IRkernel::main()", "--args", "{connection_file}"], "env": {}, "display_name": "R", "language": "R", "interrupt_mode": "signal", "metadata": {}}, "resources": {"kernel.js": "/kernelspecs/ir/kernel.js", "logo-64x64": "/kernelspecs/ir/logo-64x64.png"}}, "julia-1.4": {"name": "julia-1.4", "spec": {"argv": ["/home/dick/.local/share/julia-1.4.1/bin/julia", "-i", "--startup-file=yes", "--color=yes", "--project=@.", "/home/dick/.julia/packages/IJulia/DrVMH/src/kernel.jl", "{connection_file}"], "env": {}, "display_name": "Julia 1.4.1", "language": "julia", "interrupt_mode": "signal", "metadata": {}}, "resources": {"logo-32x32": "/kernelspecs/julia-1.4/logo-32x32.png", "logo-64x64": "/kernelspecs/julia-1.4/logo-64x64.png"}}, "python3": {"name": "python3", "spec": {"argv": ["python3", "-m", "ipykernel_launcher", "-f", "{connection_file}"], "env": {}, "display_name": "Python 3", "language": "python", "interrupt_mode": "signal", "metadata": {}}, "resources": {"logo-32x32": "/kernelspecs/python3/logo-32x32.png", "logo-64x64": "/kernelspecs/python3/logo-64x64.png"}}, "wolframlanguage12.1": {"name": "wolframlanguage12.1", "spec": {"argv": ["/usr/local/Wolfram/WolframEngine/12.1/Executables/WolframKernel", "-script", "/home/dick/WolframLanguageForJupyter/WolframLanguageForJupyter/Resources/KernelForWolframLanguageForJupyter.wl", "{connection_file}", "ScriptInstall"], "env": {}, "display_name": "Wolfram Language 12.1", "language": "Wolfram Language", "interrupt_mode": "signal", "metadata": {}}, "resources": {}}, "lisp": {"name": "lisp", "spec": {"argv": ["sbcl", "--non-interactive", "--load", "/home/dick/cl-jupyter/cl-jupyter.lisp", "/home/dick/cl-jupyter/src", "/home/dick/cl-jupyter", "{connection_file}"], "env": {}, "display_name": "SBCL Lisp", "language": "lisp", "interrupt_mode": "signal", "metadata": {}}, "resources": {}}}}
[debug] request--callback: PARSED
(:default python3 :kernelspecs (:haskell (:name haskell :spec (:argv [/home/dick/.local/bin/ihaskell kernel {connection_file} --ghclib /home/dick/.stack/programs/x86_64-linux/ghc-8.6.5/lib/ghc-8.6.5 +RTS -M3g -N2 -RTS --stack] :env nil :display_name Haskell :language haskell :interrupt_mode signal :metadata nil) :resources (:kernel.js /kernelspecs/haskell/kernel.js :logo-64x64 /kernelspecs/haskell/logo-64x64.svg)) :xcpp17 (:name xcpp17 :spec (:argv [/home/dick/miniconda3/envs/cling/bin/xcpp -f {connection_file} -std=c++17] :env nil :display_name C++17 :language C++17 :interrupt_mode signal :metadata nil) :resources (:logo-32x32 /kernelspecs/xcpp17/logo-32x32.png :logo-64x64 /kernelspecs/xcpp17/logo-64x64.png)) :ir (:name ir :spec (:argv [/usr/lib/R/bin/R --slave -e IRkernel::main() --args {connection_file}] :env nil :display_name R :language R :interrupt_mode signal :metadata nil) :resources (:kernel.js /kernelspecs/ir/kernel.js :logo-64x64 /kernelspecs/ir/logo-64x64.png)) :julia-1.4 (:name julia-1.4 :spec (:argv [/home/dick/.local/share/julia-1.4.1/bin/julia -i --startup-file=yes --color=yes --project=@. /home/dick/.julia/packages/IJulia/DrVMH/src/kernel.jl {connection_file}] :env nil :display_name Julia 1.4.1 :language julia :interrupt_mode signal :metadata nil) :resources (:logo-32x32 /kernelspecs/julia-1.4/logo-32x32.png :logo-64x64 /kernelspecs/julia-1.4/logo-64x64.png)) :python3 (:name python3 :spec (:argv [python3 -m ipykernel_launcher -f {connection_file}] :env nil :display_name Python 3 :language python :interrupt_mode signal :metadata nil) :resources (:logo-32x32 /kernelspecs/python3/logo-32x32.png :logo-64x64 /kernelspecs/python3/logo-64x64.png)) :wolframlanguage12.1 (:name wolframlanguage12.1 :spec (:argv [/usr/local/Wolfram/WolframEngine/12.1/Executables/WolframKernel -script /home/dick/WolframLanguageForJupyter/WolframLanguageForJupyter/Resources/KernelForWolframLanguageForJupyter.wl {connection_file} ScriptInstall] :env nil :display_name Wolfram Language 12.1 :language Wolfram Language :interrupt_mode signal :metadata nil) :resources nil) :lisp (:name lisp :spec (:argv [sbcl --non-interactive --load /home/dick/cl-jupyter/cl-jupyter.lisp /home/dick/cl-jupyter/src /home/dick/cl-jupyter {connection_file}] :env nil :display_name SBCL Lisp :language lisp :interrupt_mode signal :metadata nil) :resources nil)))
[debug] request--callback: executing success
[debug] request--curl: curl --silent --location --cookie /home/dick/.emacs.d/request/curl-cookie-jar --cookie-jar /home/dick/.emacs.d/request/curl-cookie-jar --include --write-out \n(:num-redirects %{num_redirects} :url-effective "%{url_effective}") --trace-ascii /tmp/curl-trace --compressed --request GET --header User-Agent: Mozilla/5.0 --header X-XSRFTOKEN: 2|44521dd7|26335ed7314979bf657d29ae512830c0|1605672558 http://127.0.0.1:8888/api/contents
[debug] request--callback: executing complete
[debug] request--curl: curl --silent --location --cookie /home/dick/.emacs.d/request/curl-cookie-jar --cookie-jar /home/dick/.emacs.d/request/curl-cookie-jar --include --write-out \n(:num-redirects %{num_redirects} :url-effective "%{url_effective}") --trace-ascii /tmp/curl-trace --compressed --request GET --header User-Agent: Mozilla/5.0 --header X-XSRFTOKEN: 2|44521dd7|26335ed7314979bf657d29ae512830c0|1605672558 http://127.0.0.1:8888/api/sessions
[debug] request--curl-callback: event finished

[debug] request--callback: UNPARSED
HTTP/1.1 200 OK
Server: TornadoServer/6.0.4
Content-Type: application/json
Date: Wed, 27 Jan 2021 13:54:45 GMT
X-Content-Type-Options: nosniff
Content-Security-Policy: frame-ancestors 'self'; report-uri /api/security/csp-report; default-src 'none'
Etag: "97d170e1550eee4afc0af065b78cda302a97674c"
Content-Length: 2

[]
[debug] request--callback: PARSED
[]
[debug] request--callback: executing success
[debug] request--curl: curl --silent --location --cookie /home/dick/.emacs.d/request/curl-cookie-jar --cookie-jar /home/dick/.emacs.d/request/curl-cookie-jar --include --write-out \n(:num-redirects %{num_redirects} :url-effective "%{url_effective}") --trace-ascii /tmp/curl-trace --compressed --request GET --header User-Agent: Mozilla/5.0 --header X-XSRFTOKEN: 2|44521dd7|26335ed7314979bf657d29ae512830c0|1605672558 http://127.0.0.1:8888/api/contents
[debug] request--callback: executing complete
[debug] request--curl-callback: event finished

[debug] request--callback: UNPARSED
HTTP/1.1 200 OK
Server: TornadoServer/6.0.4
Content-Type: application/json
Date: Wed, 27 Jan 2021 13:54:45 GMT
X-Content-Type-Options: nosniff
Content-Security-Policy: frame-ancestors 'self'; report-uri /api/security/csp-report; default-src 'none'
Last-Modified: Tue, 26 Jan 2021 23:19:09 GMT
Etag: "666de50f8ce9471571d102d155af9ff129325d36"
Content-Length: 1042

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[debug] request--callback: PARSED
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(:name pytorch-fcn-resnet50-in-20-minute.ipynb :path pytorch-fcn-resnet50-in-20-minute.ipynb :last_modified 2021-01-26T23:19:09.600415Z :created 2021-01-26T23:19:09.600415Z :content (:cells [(:metadata (:_uuid 8f2839f25d086af736a60e9eeb907d3b93b6e0e5 :_cell_guid b1076dfc-b9ad-4769-8c92-a6c4dae69d19 :trusted :json-false) :cell_type code :source import numpy as np
import pandas as pd
import pathlib, sys, os, random, time
import numba, cv2, gc

import matplotlib.pyplot as plt
%matplotlib inline

import warnings
warnings.filterwarnings('ignore')

from tqdm.notebook import tqdm

import albumentations as A :execution_count nil :outputs []) (:metadata (:trusted :json-false) :cell_type code :source import rasterio
from rasterio.windows import Window :execution_count nil :outputs []) (:metadata (:trusted :json-false) :cell_type code :source import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.utils.data as D

import torchvision
from torchvision import transforms as T :execution_count nil :outputs []) (:metadata (:_uuid d629ff2d2480ee46fbb7e2d37f6b5fab8052498a :_cell_guid 79c7e3d0-c299-4dcb-8224-4455121ee9b0 :trusted :json-false) :cell_type code :source def set_seeds(seed=42):
    random.seed(seed)
    os.environ['PYTHONHASHSEED'] = str(seed)
    np.random.seed(seed)
    torch.manual_seed(seed)
    torch.cuda.manual_seed(seed)
    torch.cuda.manual_seed_all(seed)
    torch.backends.cudnn.deterministic = True

set_seeds(); :execution_count nil :outputs []) (:metadata (:trusted :json-false) :cell_type code :source DATA_PATH = '../input/hubmap-kidney-segmentation'
EPOCHES = 5
BATCH_SIZE = 32
DEVICE = 'cuda' if torch.cuda.is_available() else 'cpu'  :execution_count nil :outputs []) (:metadata (:trusted :json-false) :cell_type code :source # used for converting the decoded image to rle mask
def rle_encode(im):
    '''
    im: numpy array, 1 - mask, 0 - background
    Returns run length as string formated
    '''
    pixels = im.flatten(order = 'F')
    pixels = np.concatenate([[0], pixels, [0]])
    runs = np.where(pixels[1:] != pixels[:-1])[0] + 1
    runs[1::2] -= runs[::2]
    return ' '.join(str(x) for x in runs)

def rle_decode(mask_rle, shape=(256, 256)):
    '''
    mask_rle: run-length as string formated (start length)
    shape: (height,width) of array to return 
    Returns numpy array, 1 - mask, 0 - background

    '''
    s = mask_rle.split()
    starts, lengths = [np.asarray(x, dtype=int) for x in (s[0:][::2], s[1:][::2])]
    starts -= 1
    ends = starts + lengths
    img = np.zeros(shape[0]*shape[1], dtype=np.uint8)
    for lo, hi in zip(starts, ends):
        img[lo:hi] = 1
    return img.reshape(shape, order='F')

@numba.njit()
def rle_numba(pixels):
    size = len(pixels)
    points = []
    if pixels[0] == 1: points.append(0)
    flag = True
    for i in range(1, size):
        if pixels[i] != pixels[i-1]:
            if flag:
                points.append(i+1)
                flag = False
            else:
                points.append(i+1 - points[-1])
                flag = True
    if pixels[-1] == 1: points.append(size-points[-1]+1)    
    return points

def rle_numba_encode(image):
    pixels = image.flatten(order = 'F')
    points = rle_numba(pixels)
    return ' '.join(str(x) for x in points)

def make_grid(shape, window=256, min_overlap=32):
    """
        Return Array of size (N,4), where N - number of tiles,
        2nd axis represente slices: x1,x2,y1,y2 
    """
    x, y = shape
    nx = x // (window - min_overlap) + 1
    x1 = np.linspace(0, x, num=nx, endpoint=False, dtype=np.int64)
    x1[-1] = x - window
    x2 = (x1 + window).clip(0, x)
    ny = y // (window - min_overlap) + 1
    y1 = np.linspace(0, y, num=ny, endpoint=False, dtype=np.int64)
    y1[-1] = y - window
    y2 = (y1 + window).clip(0, y)
    slices = np.zeros((nx,ny, 4), dtype=np.int64)

    for i in range(nx):
        for j in range(ny):
            slices[i,j] = x1[i], x2[i], y1[j], y2[j]    
    return slices.reshape(nx*ny,4) :execution_count nil :outputs []) (:metadata (:trusted :json-false) :cell_type code :source identity = rasterio.Affine(1, 0, 0, 0, 1, 0)

class HubDataset(D.Dataset):

    def __init__(self, root_dir, transform,
                 window=256, overlap=32, threshold = 100):
        self.path = pathlib.Path(root_dir)
        self.overlap = overlap
        self.window = window
        self.transform = transform
        self.csv = pd.read_csv((self.path / 'train.csv').as_posix(),
                               index_col=[0])
        self.threshold = threshold

        self.x, self.y = [], []
        self.build_slices()
        self.len = len(self.x)
        self.as_tensor = T.Compose([
            T.ToTensor(),
            T.Normalize([0.625, 0.448, 0.688],
                        [0.131, 0.177, 0.101]),
        ])

    def build_slices(self):
        self.masks = []
        self.files = []
        self.slices = []
        for i, filename in enumerate(self.csv.index.values):
            filepath = (self.path /'train'/(filename+'.tiff')).as_posix()
            self.files.append(filepath)

            print('Transform', filename)
            with rasterio.open(filepath, transform = identity) as dataset:
                self.masks.append(rle_decode(self.csv.loc[filename, 'encoding'], dataset.shape))
                slices = make_grid(dataset.shape, window=self.window, min_overlap=self.overlap)

                for slc in tqdm(slices):
                    x1,x2,y1,y2 = slc
                    if self.masks[-1][x1:x2,y1:y2].sum() > self.threshold or np.random.randint(100) > 120:
                        self.slices.append([i,x1,x2,y1,y2])

                        image = dataset.read([1,2,3],
                            window=Window.from_slices((x1,x2),(y1,y2)))

#                         if image.std().mean() < 10:
#                             continue

                        # print(image.std().mean(), self.masks[-1][x1:x2,y1:y2].sum())
                        image = np.moveaxis(image, 0, -1)
                        self.x.append(image)
                        self.y.append(self.masks[-1][x1:x2,y1:y2])

    # get data operation
    def __getitem__(self, index):
        image, mask = self.x[index], self.y[index]
        augments = self.transform(image=image, mask=mask)
        return self.as_tensor(augments['image']), augments['mask'][None]

    def __len__(self):
        """
        Total number of samples in the dataset
        """
        return self.len
 :execution_count nil :outputs []) (:metadata (:trusted :json-false) :cell_type code :source WINDOW=1024
MIN_OVERLAP=32
NEW_SIZE=256

trfm = A.Compose([
    A.Resize(NEW_SIZE,NEW_SIZE),
    A.HorizontalFlip(p=0.5),
    A.VerticalFlip(p=0.5),

    A.OneOf([
        A.RandomContrast(),
        A.RandomGamma(),
        A.RandomBrightness(),
        A.ColorJitter(brightness=0.07, contrast=0.07,
                   saturation=0.1, hue=0.1, always_apply=False, p=0.3),
        ], p=0.3),
    A.OneOf([
        A.ElasticTransform(alpha=120, sigma=120 * 0.05, alpha_affine=120 * 0.03),
        A.GridDistortion(),
        A.OpticalDistortion(distort_limit=2, shift_limit=0.5),
        ], p=0.0),
    A.ShiftScaleRotate(),
])

ds = HubDataset(DATA_PATH, window=WINDOW, overlap=MIN_OVERLAP, transform=trfm) :execution_count nil :outputs []) (:metadata (:trusted :json-false) :cell_type code :source image, mask = ds[2]
plt.figure(figsize=(16,8))
plt.subplot(121)
plt.imshow(mask[0], cmap='gray')
plt.subplot(122)
plt.imshow(image[0]);

_ = rle_numba_encode(mask[0]) # compile function with numba :execution_count nil :outputs []) (:metadata (:trusted :json-false) :cell_type code :source valid_idx, train_idx = [], []
for i in range(len(ds)):
    if ds.slices[i][0] == 7:
        valid_idx.append(i)
    else:
        train_idx.append(i) :execution_count nil :outputs []) (:metadata (:trusted :json-false) :cell_type code :source train_ds = D.Subset(ds, train_idx)
valid_ds = D.Subset(ds, valid_idx)

# define training and validation data loaders
loader = D.DataLoader(
    train_ds, batch_size=BATCH_SIZE, shuffle=True, num_workers=0)

vloader = D.DataLoader(
    valid_ds, batch_size=BATCH_SIZE, shuffle=False, num_workers=0) :execution_count nil :outputs []) (:metadata (:trusted :json-false) :cell_type code :source def get_model():
    model = torchvision.models.segmentation.fcn_resnet50(False)

    pth = torch.load("../input/pretrain-coco-weights-pytorch/fcn_resnet50_coco-1167a1af.pth")
    for key in ["aux_classifier.0.weight", "aux_classifier.1.weight", "aux_classifier.1.bias", "aux_classifier.1.running_mean", "aux_classifier.1.running_var", "aux_classifier.1.num_batches_tracked", "aux_classifier.4.weight", "aux_classifier.4.bias"]:
        del pth[key]

    model.classifier[4] = nn.Conv2d(512, 1, kernel_size=(1, 1), stride=(1, 1))
    return model :execution_count nil :outputs []) (:metadata (:trusted :json-false) :cell_type code :source @torch.no_grad()
def validation(model, loader, loss_fn):
    losses = []
    model.eval()
    for image, target in loader:
        image, target = image.to(DEVICE), target.float().to(DEVICE)
        output = model(image)['out']
        loss = loss_fn(output, target)
        losses.append(loss.item())

    return np.array(losses).mean() :execution_count nil :outputs []) (:metadata (:trusted :json-false) :cell_type code :source # deeplabv3_resnet101_coco-586e9e4e.pth  fcn_resnet50_coco-1167a1af.pth
# deeplabv3_resnet50_coco-cd0a2569.pth   resnet101-5d3b4d8f.pth
# fcn_resnet101_coco-7ecb50ca.pth        resnet50-19c8e357.pth
# Copy pretrain weight for model to cache dir
!mkdir -p /root/.cache/torch/hub/checkpoints/
!cp ../input/pytorch-pretrained-models/resnet50-19c8e357.pth /root/.cache/torch/hub/checkpoints/
!cp ../input/pretrain-coco-weights-pytorch/fcn_resnet50_coco-1167a1af.pth /root/.cache/torch/hub/checkpoints/ :execution_count nil :outputs []) (:metadata (:trusted :json-false) :cell_type code :source model = get_model()

model.to(DEVICE);

optimizer = torch.optim.AdamW(model.parameters(),
                  lr=1e-4, weight_decay=1e-3) :execution_count nil :outputs []) (:metadata (:trusted :json-false) :cell_type code :source ### Table for results
header = r'''
        Train | Valid
Epoch |  Loss |  Loss | Time, m
'''
#          Epoch         metrics            time
raw_line = '{:6d}' + '\u2502{:7.3f}'*2 + '\u2502{:6.2f}' :execution_count nil :outputs []) (:metadata (:trusted :json-false) :cell_type code :source class SoftDiceLoss(nn.Module):
    def __init__(self, smooth=1., dims=(-2,-1)):

        super(SoftDiceLoss, self).__init__()
        self.smooth = smooth
        self.dims = dims

    def forward(self, x, y):

        tp = (x * y).sum(self.dims)
        fp = (x * (1 - y)).sum(self.dims)
        fn = ((1 - x) * y).sum(self.dims)

        dc = (2 * tp + self.smooth) / (2 * tp + fp + fn + self.smooth)
        dc = dc.mean()

        return 1 - dc :execution_count nil :outputs []) (:metadata (:trusted :json-false) :cell_type code :source bce_fn = nn.BCEWithLogitsLoss()
dice_fn = SoftDiceLoss()

def loss_fn(y_pred, y_true):
    bce = bce_fn(y_pred, y_true)
    dice = dice_fn(y_pred.sigmoid(), y_true)
    return 0.8*bce+ 0.2*dice

print(header)

best_loss = 10
EPOCHES = 25
for epoch in range(1, EPOCHES+1):
    losses = []
    start_time = time.time()
    model.train()
    for image, target in loader:

        image, target = image.to(DEVICE), target.float().to(DEVICE)
        optimizer.zero_grad()
        output = model(image)['out']
        loss = loss_fn(output, target)
        loss.backward()
        optimizer.step()
        losses.append(loss.item())
    vloss = validation(model, vloader, loss_fn)
    print(raw_line.format(epoch, np.array(losses).mean(), vloss,
                              (time.time()-start_time)/60**1))
    losses = []

    if vloss < best_loss:
        best_loss = vloss
        torch.save(model.state_dict(), 'model_best.pth') :execution_count nil :outputs []) (:metadata (:trusted :json-false) :cell_type code :source # del train set
del loader, vloader, train_ds, valid_ds, ds
gc.collect(); :execution_count nil :outputs []) (:metadata (:trusted :json-false) :cell_type code :source trfm = T.Compose([
    T.ToPILImage(),
    T.Resize(NEW_SIZE),
    T.ToTensor(),
    T.Normalize([0.625, 0.448, 0.688],
                [0.131, 0.177, 0.101]),
])

p = pathlib.Path(DATA_PATH)

subm = {}

model.load_state_dict(torch.load("./model_best.pth"))
model.eval()

for i, filename in enumerate(p.glob('test/*.tiff')):
    dataset = rasterio.open(filename.as_posix(), transform = identity)
    slices = make_grid(dataset.shape, window=WINDOW, min_overlap=MIN_OVERLAP)
    preds = np.zeros(dataset.shape, dtype=np.uint8)
    for (x1,x2,y1,y2) in slices:
        image = dataset.read([1,2,3],
                    window=Window.from_slices((x1,x2),(y1,y2)))
        image = np.moveaxis(image, 0, -1)
        image = trfm(image)
        with torch.no_grad():
            image = image.to(DEVICE)[None]
            score = model(image)['out'][0][0]

            score2 = model(torch.flip(image, [0, 3]))['out']
            score2 = torch.flip(score2, [3, 0])[0][0]

            score3 = model(torch.flip(image, [1, 2]))['out']
            score3 = torch.flip(score3, [2, 1])[0][0]

            score_mean = (score + score2 + score3) / 3.0
            score_sigmoid = score_mean.sigmoid().cpu().numpy()
            score_sigmoid = cv2.resize(score_sigmoid, (WINDOW, WINDOW))

            preds[x1:x2,y1:y2] = (score_sigmoid > 0.5).astype(np.uint8)

    subm[i] = {'id':filename.stem, 'predicted': rle_numba_encode(preds)}
    del preds
    gc.collect(); :execution_count nil :outputs []) (:metadata (:trusted :json-false) :cell_type code :source submission = pd.DataFrame.from_dict(subm, orient='index')
submission.to_csv('submission.csv', index=False) :execution_count nil :outputs []) (:metadata (:trusted :json-false) :cell_type code :source  :execution_count nil :outputs [])] :metadata (:kernelspec (:language python :display_name Python 3 :name python3) :language_info (:pygments_lexer ipython3 :nbconvert_exporter python :version 3.6.4 :file_extension .py :codemirror_mode (:name ipython :version 3) :name python :mimetype text/x-python)) :nbformat 4 :nbformat_minor 4) :format json :mimetype nil :size 14836 :writable t :type notebook)
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08:54:46:783: [debug] ein:query-contents--complete STATUS: 200 DATA: (:name run-remote :path run-remote :last_modified 1970-01-01T00:00:00Z :created 1970-01-01T00:00:00Z :content [(:name gat.1611170609 :path run-remote/gat.1611170609 :last_modified 2021-01-20T19:23:31Z :created 2021-01-20T19:23:31Z :content nil :format nil :mimetype nil :size 3920 :writable t :type file) (:name gat.1611173836 :path run-remote/gat.1611173836 :last_modified 2021-01-20T20:17:18Z :created 2021-01-20T20:17:18Z :content nil :format nil :mimetype nil :size 3582 :writable t :type file) (:name gat.1611180787 :path run-remote/gat.1611180787 :last_modified 2021-01-20T22:13:08Z :created 2021-01-20T22:13:08Z :content nil :format nil :mimetype nil :size 3421 :writable t :type file) (:name gat.1611194573 :path run-remote/gat.1611194573 :last_modified 2021-01-21T02:02:55Z :created 2021-01-21T02:02:55Z :content nil :format nil :mimetype nil :size 4348 :writable t :type file) (:name gat.1611194848 :path run-remote/gat.1 @#<buffer *ein:notebooklist http://127.0.0.1:8888*>
08:54:46:783: [verbose] ein:kernel-retrieve-session--success: kernel-id=3547d2c7-00b5-41a8-876b-9477fd403861 session-id=7fe33e05-ff84-4f56-a8ff-ac0002491795 @#<buffer *ein:notebooklist http://127.0.0.1:8888*>
08:54:46:810: [verbose] WS start: ws://127.0.0.1:8888/api/kernels/3547d2c7-00b5-41a8-876b-9477fd403861/channels?session_id=7fe33e05-ff84-4f56-a8ff-ac0002491795 @#<buffer *ein:notebooklist http://127.0.0.1:8888*>
08:54:46:852: [debug] ein:kernel-retrieve-session--complete STATUS: 201 DATA: (:id 7fe33e05-ff84-4f56-a8ff-ac0002491795 :path pytorch-fcn-resnet50-in-20-minute.ipynb :name nil :type notebook :kernel (:id 3547d2c7-00b5-41a8-876b-9477fd403861 :name python3 :last_activity 2021-01-27T13:54:46.686284Z :execution_state starting :connections 0) :notebook (:path pytorch-fcn-resnet50-in-20-minute.ipynb :name nil)) @#<buffer *ein:notebooklist http://127.0.0.1:8888*>
08:54:47:235: [debug] EIN:QUERY-PREPARE-HEADER: Found xsrf: 2|44521dd7|26335ed7314979bf657d29ae512830c0|1605672558 @#<buffer *ein:notebooklist http://127.0.0.1:8888*>
08:54:47:236: [info] Notebook pytorch-fcn-resnet50-in-20-minute.ipynb is ready @#<buffer *ein:notebooklist http://127.0.0.1:8888*>
08:54:47:236: [verbose] WS opened: ws://127.0.0.1:8888/api/kernels/3547d2c7-00b5-41a8-876b-9477fd403861/channels?session_id=7fe33e05-ff84-4f56-a8ff-ac0002491795 @#<buffer *ein:notebooklist http://127.0.0.1:8888*>
08:54:47:256: [verbose] Opening notebooklist at http://127.0.0.1:8888 @#<buffer  *ein: http://127.0.0.1:8888/pytorch-fcn-resnet50-in-20-minute.ipynb*[python]>
08:54:47:257: [debug] EIN:QUERY-PREPARE-HEADER: Found xsrf: 2|44521dd7|26335ed7314979bf657d29ae512830c0|1605672558 @#<buffer *ein:notebooklist http://127.0.0.1:8888*>
08:54:47:257: [debug] ein:query-contents--complete STATUS: 200 DATA: (:name  :path  :last_modified 2021-01-26T23:19:09.600415Z :created 2021-01-26T23:19:09.600415Z :content [(:name pytorch-fcn-resnet50-in-20-minute.ipynb :path pytorch-fcn-resnet50-in-20-minute.ipynb :last_modified 2021-01-26T23:19:09.600415Z :created 2021-01-26T23:19:09.600415Z :content nil :format nil :mimetype nil :size 14836 :writable t :type notebook) (:name Dockerfile.pytorch-fcn-resnet50-in-20-minute :path Dockerfile.pytorch-fcn-resnet50-in-20-minute :last_modified 2021-01-26T23:18:48.888165Z :created 2021-01-26T23:18:48.888165Z :content nil :format nil :mimetype nil :size 149 :writable t :type file) (:name run-remote :path run-remote :last_modified 1970-01-01T00:00:00Z :created 1970-01-01T00:00:00Z :content nil :format nil :mimetype nil :size nil :writable t :type directory)] :format json :mimetype nil :size nil :writable t :type directory) @#<buffer  *ein: http://127.0.0.1:8888/pytorch-fcn-resnet50-in-20-minute.ipynb*[python]>
08:54:47:888: [debug] ein:query-sessions--complete STATUS: 200 DATA: [(:id 7fe33e05-ff84-4f56-a8ff-ac0002491795 :path pytorch-fcn-resnet50-in-20-minute.ipynb :name nil :type notebook :kernel (:id 3547d2c7-00b5-41a8-876b-9477fd403861 :name python3 :last_activity 2021-01-27T13:54:46.686284Z :execution_state starting :connections 1) :notebook (:path pytorch-fcn-resnet50-in-20-minute.ipynb :name nil))] @#<buffer  *ein: http://127.0.0.1:8888/pytorch-fcn-resnet50-in-20-minute.ipynb*[python]>
08:54:54:011: [warn] ein:dev-packages: Invalid function: "jupyter" @#<buffer  *temp*>

ein server:

[D 08:54:44.378 NotebookApp] Searching ['/home/dick/hubmap', '/home/dick/.jupyter', '/usr/etc/jupyter', '/usr/local/etc/jupyter', '/etc/jupyter'] for config files
[D 08:54:44.378 NotebookApp] Looking for jupyter_config in /etc/jupyter
[D 08:54:44.379 NotebookApp] Looking for jupyter_config in /usr/local/etc/jupyter
[D 08:54:44.379 NotebookApp] Looking for jupyter_config in /usr/etc/jupyter
[D 08:54:44.379 NotebookApp] Looking for jupyter_config in /home/dick/.jupyter
[D 08:54:44.379 NotebookApp] Looking for jupyter_config in /home/dick/hubmap
[D 08:54:44.380 NotebookApp] Looking for jupyter_notebook_config in /etc/jupyter
[D 08:54:44.380 NotebookApp] Looking for jupyter_notebook_config in /usr/local/etc/jupyter
[D 08:54:44.380 NotebookApp] Looking for jupyter_notebook_config in /usr/etc/jupyter
[D 08:54:44.380 NotebookApp] Loaded config file: /usr/etc/jupyter/jupyter_notebook_config.json
[D 08:54:44.380 NotebookApp] Looking for jupyter_notebook_config in /home/dick/.jupyter
[D 08:54:44.380 NotebookApp] Loaded config file: /home/dick/.jupyter/jupyter_notebook_config.py
[D 08:54:44.381 NotebookApp] Looking for jupyter_notebook_config in /home/dick/hubmap
[D 08:54:44.382 NotebookApp] Raising open file limit: soft 1024->4096; hard 1048576->1048576
[D 08:54:44.385 NotebookApp] Paths used for configuration of jupyter_notebook_config: 
        /etc/jupyter/jupyter_notebook_config.json
[D 08:54:44.386 NotebookApp] Paths used for configuration of jupyter_notebook_config: 
        /usr/local/etc/jupyter/jupyter_notebook_config.json
[D 08:54:44.386 NotebookApp] Paths used for configuration of jupyter_notebook_config: 
        /usr/etc/jupyter/jupyter_notebook_config.json
[D 08:54:44.386 NotebookApp] Paths used for configuration of jupyter_notebook_config: 
        /home/dick/.jupyter/jupyter_notebook_config.json
[W 08:54:44.573 NotebookApp] All authentication is disabled.  Anyone who can connect to this server will be able to run code.
[I 08:54:44.575 NotebookApp] Serving notebooks from local directory: /home/dick/hubmap
[I 08:54:44.575 NotebookApp] Jupyter Notebook 6.1.5 is running at:
[I 08:54:44.575 NotebookApp] http://localhost:8888/
[I 08:54:44.575 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
[D 08:54:45.607 NotebookApp] 200 GET /api (127.0.0.1) 2.71ms
[D 08:54:45.669 NotebookApp] Found kernel haskell in /home/dick/.local/share/jupyter/kernels
[D 08:54:45.669 NotebookApp] Found kernel xcpp17 in /home/dick/.local/share/jupyter/kernels
[D 08:54:45.669 NotebookApp] Found kernel ir in /home/dick/.local/share/jupyter/kernels
[D 08:54:45.669 NotebookApp] Found kernel julia-1.4 in /home/dick/.local/share/jupyter/kernels
[D 08:54:45.669 NotebookApp] Found kernel python3 in /home/dick/.local/share/jupyter/kernels
[D 08:54:45.669 NotebookApp] Found kernel wolframlanguage12.1 in /home/dick/.local/share/jupyter/kernels
[D 08:54:45.669 NotebookApp] Found kernel lisp in /home/dick/.ipython/kernels
[D 08:54:45.673 NotebookApp] 200 GET /api/kernelspecs (127.0.0.1) 5.72ms
[D 08:54:45.732 NotebookApp] 200 GET /api/contents (127.0.0.1) 2.96ms
[D 08:54:45.762 NotebookApp] 200 GET /api/sessions (127.0.0.1) 1.33ms
[D 08:54:45.852 NotebookApp] 200 GET /api/contents (127.0.0.1) 1.93ms
[W 08:54:45.867 NotebookApp] Notebook pytorch-fcn-resnet50-in-20-minute.ipynb is not trusted
[D 08:54:45.876 NotebookApp] 200 GET /api/contents/pytorch-fcn-resnet50-in-20-minute.ipynb (127.0.0.1) 21.25ms
[D 08:54:45.877 NotebookApp] 200 GET /api/sessions (127.0.0.1) 0.96ms
[D 08:54:46.679 NotebookApp] Starting kernel: ['/usr/bin/python3', '-m', 'ipykernel_launcher', '-f', '/home/dick/.local/share/jupyter/runtime/kernel-3547d2c7-00b5-41a8-876b-9477fd403861.json']
[D 08:54:46.684 NotebookApp] Connecting to: tcp://127.0.0.1:50037
[D 08:54:46.686 NotebookApp] Connecting to: tcp://127.0.0.1:41455
[I 08:54:46.688 NotebookApp] Kernel started: 3547d2c7-00b5-41a8-876b-9477fd403861, name: python3
[D 08:54:46.688 NotebookApp] Kernel args: {'kernel_name': 'python3', 'cwd': '/home/dick/hubmap'}
[D 08:54:46.691 NotebookApp] 201 POST /api/sessions (127.0.0.1) 29.95ms
[D 08:54:46.732 NotebookApp] 200 GET /api/contents/run-remote (127.0.0.1) 42.46ms
[D 08:54:46.853 NotebookApp] Initializing websocket connection /api/kernels/3547d2c7-00b5-41a8-876b-9477fd403861/channels
[D 08:54:46.855 NotebookApp] Requesting kernel info from 3547d2c7-00b5-41a8-876b-9477fd403861
[D 08:54:46.855 NotebookApp] Connecting to: tcp://127.0.0.1:49785
[D 08:54:47.189 NotebookApp] Received kernel info: {'status': 'ok', 'protocol_version': '5.3', 'implementation': 'ipython', 'implementation_version': '7.14.0', 'language_info': {'name': 'python', 'version': '3.6.9', 'mimetype': 'text/x-python', 'codemirror_mode': {'name': 'ipython', 'version': 3}, 'pygments_lexer': 'ipython3', 'nbconvert_exporter': 'python', 'file_extension': '.py'}, 'banner': "Python 3.6.9 (default, Apr 18 2020, 01:56:04) \nType 'copyright', 'credits' or 'license' for more information\nIPython 7.14.0 -- An enhanced Interactive Python. Type '?' for help.\n", 'help_links': [{'text': 'Python Reference', 'url': 'https://docs.python.org/3.6'}, {'text': 'IPython Reference', 'url': 'https://ipython.org/documentation.html'}, {'text': 'NumPy Reference', 'url': 'https://docs.scipy.org/doc/numpy/reference/'}, {'text': 'SciPy Reference', 'url': 'https://docs.scipy.org/doc/scipy/reference/'}, {'text': 'Matplotlib Reference', 'url': 'https://matplotlib.org/contents.html'}, {'text': 'SymPy Reference', 'url': 'http://docs.sympy.org/latest/index.html'}, {'text': 'pandas Reference', 'url': 'https://pandas.pydata.org/pandas-docs/stable/'}]}
[D 08:54:47.190 NotebookApp] 101 GET /api/kernels/3547d2c7-00b5-41a8-876b-9477fd403861/channels?session_id=7fe33e05-ff84-4f56-a8ff-ac0002491795 (127.0.0.1) 337.58ms
[D 08:54:47.190 NotebookApp] Opening websocket /api/kernels/3547d2c7-00b5-41a8-876b-9477fd403861/channels
[D 08:54:47.190 NotebookApp] Getting buffer for 3547d2c7-00b5-41a8-876b-9477fd403861
[D 08:54:47.191 NotebookApp] Connecting to: tcp://127.0.0.1:49785
[D 08:54:47.191 NotebookApp] Connecting to: tcp://127.0.0.1:50037
[D 08:54:47.191 NotebookApp] Connecting to: tcp://127.0.0.1:41455
[D 08:54:47.192 NotebookApp] Connecting to: tcp://127.0.0.1:47391
[D 08:54:47.250 NotebookApp] 200 GET /api/contents (127.0.0.1) 2.89ms
[D 08:54:47.268 NotebookApp] 200 GET /api/sessions (127.0.0.1) 1.68ms
EvanMath commented 3 years ago

I have updated the above comment.

dickmao commented 3 years ago

Have you tried:

jupyter trust '/home/emath/google-drive/MSc Data Science/AI Lab-Research/Wikipedia API/revisions_eda_first_approach.ipynb'

I don't know precisely what property of a notebook elicits the need for "explicit trusting." I know my notebooks never require this, but I don't know why.

EvanMath commented 3 years ago

Where should I use this? The thing is that other notebooks run fine. And in browser run all fine.

dickmao commented 3 years ago

Where should I use this?

At a shell prompt.

dickmao commented 3 years ago

Content-Length: 578165

Ah wait, it's getting data for revisions_eda_first_approach.ipynb but there is a control character triggering an interrupt signal to the curl process. Try editing the notebook first in the browser to remove all the outputs or suspect inputs that might cause this.

EvanMath commented 3 years ago

Thanks a ton! I use the jupyter trust part and worked fine. Any ideas why is this happening?

dickmao commented 3 years ago

Any ideas why is this happening?

No, I personally think the jupyter ecosystem with all its hanging chads is more trouble than it's worth.

EvanMath commented 3 years ago

Thank you for your help!