I use cyrillic symbols in my IPython notebooks. It works fine when I work in ML studio.
But when I download notebooks and open them (for example on http://try.jupyter.org ), I see strange characters.
Bad notebook (created on Azure ML Studio):
{"nbformat_minor": 0, "cells": [{"source": "\u00d1\u0082\u00d0\u00b5\u00d1\u0081\u00d1\u0082", "cell_type": "markdown", "metadata": {"collapsed": true}}], "nbformat": 4, "metadata": {"kernelspec": {"display_name": "Python 2", "name": "python2", "language": "python"}, "language_info": {"mimetype": "text/x-python", "nbconvert_exporter": "python", "version": "2.7.11", "name": "python", "file_extension": ".py", "pygments_lexer": "ipython2", "codemirror_mode": {"version": 2, "name": "ipython"}}}}
$ file bad.ipynb
bad.ipynb: ASCII text, with very long lines, with no line terminators
"Good" version, created on http://try.jupyter.org:
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"тест"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 2",
"language": "python",
"name": "python2"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 2
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.10"
}
},
"nbformat": 4,
"nbformat_minor": 0
}
$ file good.ipynb
good.ipynb: UTF-8 Unicode text
I have done some lab, and found out that your json is encoded into utf-8. For your case, it's simple to get the real content back. See the code below:
Python 3.x
a = '{"nbformat_minor": 0, "cells": [{"source": "\u00d1\u0082\u00d0\u00b5\u00d1\u0081\u00d1\u0082", "cell_type": "markdown", "metadata": {"collapsed": true}}], "nbformat": 4, "metadata": {"kernelspec": {"display_name": "Python 2", "name": "python2", "language": "python"}, "language_info": {"mimetype": "text/x-python", "nbconvert_exporter": "python", "version": "2.7.11", "name": "python", "file_extension": ".py", "pygments_lexer": "ipython2", "codemirror_mode": {"version": 2, "name": "ipython"}}}}'
result = a.encode('latin-1').decode("utf-8")
Python 2.x
a = '{"nbformat_minor": 0, "cells": [{"source": "\u00d1\u0082\u00d0\u00b5\u00d1\u0081\u00d1\u0082", "cell_type": "markdown", "metadata": {"collapsed": true}}], "nbformat": 4, "metadata": {"kernelspec": {"display_name": "Python 2", "name": "python2", "language": "python"}, "language_info": {"mimetype": "text/x-python", "nbconvert_exporter": "python", "version": "2.7.11", "name": "python", "file_extension": ".py", "pygments_lexer": "ipython2", "codemirror_mode": {"version": 2, "name": "ipython"}}}}'
result = a.decode('unicode-escape').encode("latin-1")
This piece of code may not work for some other cases, because 'latin-1' does not cover all 0-255 characters. Hence, I am still looking for a better encoding for this kind of things.
Related
I compiled v8 on Linux Min 20.2 using VsCode.
My build tasks.json task looks like this
"tasks": [
{
"label": "gm x64.debug all",
"type": "shell",
"command": "tools/dev/gm.py x64.debug all",
"group": {
"kind": "build",
"isDefault": true
},
"presentation": {
"reveal": "always",
"panel": "dedicated",
"clear": true
},
"problemMatcher": {
"fileLocation": [
"relative",
"${workspaceFolder}out/x64.debug/"
],
"pattern": {
"regexp": "^(.*):(\\d+):(\\d+):\\s+(warning|error):\\s+(.*)$",
"file": 1,
"line": 2,
"column": 3,
"severity": 4,
"message": 5
}
}
}
launch.json config
{
"name": "(gdb) launch hello_world",
"type": "cppdbg",
"request": "launch",
"program": "${workspaceFolder}/out/x64.debug/v8_hello_world",
"args": [],
"stopAtEntry": false,
"cwd": "${fileDirname}",
"environment": [],
"externalConsole": false,
"MIMode": "gdb",
"setupCommands": [
{
"description": "Enable pretty-printing for gdb",
"text": "-enable-pretty-printing",
"ignoreFailures": true
}
]
},
Breakpoints working well also callstack is available but there is no local variables.
I use extension "C/C++ (by Microsoft)".
How I can enable them?
(V8 developer here.)
Inspecting local variables should work by default. You could try running the compiled binary in GDB to see if something is missing from the binaries, or it's an issue with VSCode's integrated debugger or its configuration.
One thing to keep in mind is that tools/dev/gm.py will not overwrite existing build settings. If you e.g. manually put symbol_level = 1 or v8_optimized_debug = true (two examples for settings that will break your debugging experience) into out/x64.debug/args.gn, then gm.py will maintain these settings, assuming that you put them there on purpose. To get back to the defaults, you can rm -rf out/x64.debug. You can also look up the default settings in gm.py's source.
I'm scraping a JS loaded website using requests. In order to do so, I go to inspect website, network console and look for the XHR calls to know where is the website calling for the data and how. Process would be as follows
Go to the link https://www.888sport.es/futbol/#/event/1006276426 in Chrome. Once that is loaded, you can click on many items with an unique ID. After doing so, a pop up window with information appears. In the XHR call I mentioned above you get a direct link to get this information as follows:
import requests
url='https://eu-offering.kambicdn.org/offering/v2018/888es/betoffer/outcome.json?lang=es_ES&market=ES&client_id=2&channel_id=1&ncid=1586874367958&id=2740660278'
#ncid is the date in timestamp format, and id is the unique id of the node clicked
response=requests.get(url=url,headers=headers)
Problem is, this isn't user friendly and require python. If I put this last url in the Chrome driver, I get the information but in plain text, and I can't interact with it. Is there any way to get a workable link from the request so that manually inserting it in a Chrome driver it loads that pop up window directly, as a regular website?
You've to make the requests as .json() so you receive a json dict, which you can access it with keys.
import requests
import json
def main(url):
r = requests.get(url).json()
print(r.keys())
hview = json.dumps(r, indent=4)
print(hview) # here to see it in nice view.
main("https://eu-offering.kambicdn.org/offering/v2018/888es/betoffer/outcome.json?lang=es_ES&market=ES&client_id=2&channel_id=1&ncid=1586874367958&id=2740660278")
Output:
dict_keys(['betOffers', 'events', 'prePacks'])
{
"betOffers": [
{
"id": 2210856430,
"closed": "2020-04-17T14:30:00Z",
"criterion": {
"id": 1001159858,
"label": "Final del partido",
"englishLabel": "Full Time",
"order": [],
"occurrenceType": "GOALS",
"lifetime": "FULL_TIME"
},
"betOfferType": {
"id": 2,
"name": "Partido",
"englishName": "Match"
},
"eventId": 1006276426,
"outcomes": [
{
"id": 2740660278,
"label": "1",
"englishLabel": "1",
"odds": 1150,
"participant": "FC Lokomotiv Gomel",
"type": "OT_ONE",
"betOfferId": 2210856430,
"changedDate": "2020-04-14T09:11:55Z",
"participantId": 1003789012,
"oddsFractional": "1/7",
"oddsAmerican": "-670",
"status": "OPEN",
"cashOutStatus": "ENABLED"
},
{
"id": 2740660284,
"label": "X",
"englishLabel": "X",
"odds": 6750,
"type": "OT_CROSS",
"betOfferId": 2210856430,
"changedDate": "2020-04-14T09:11:55Z",
"oddsFractional": "23/4",
"oddsAmerican": "575",
"status": "OPEN",
"cashOutStatus": "ENABLED"
},
{
"id": 2740660286,
"label": "2",
"englishLabel": "2",
"odds": 11000,
"participant": "Khimik Svetlogorsk",
"type": "OT_TWO",
"betOfferId": 2210856430,
"changedDate": "2020-04-14T09:11:55Z",
"participantId": 1001024009,
"oddsFractional": "10/1",
"oddsAmerican": "1000",
"status": "OPEN",
"cashOutStatus": "ENABLED"
}
],
"tags": [
"OFFERED_PREMATCH",
"MAIN"
],
"cashOutStatus": "ENABLED"
}
],
"events": [
{
"id": 1006276426,
"name": "FC Lokomotiv Gomel - Khimik Svetlogorsk",
"nameDelimiter": "-",
"englishName": "FC Lokomotiv Gomel - Khimik Svetlogorsk",
"homeName": "FC Lokomotiv Gomel",
"awayName": "Khimik Svetlogorsk",
"start": "2020-04-17T14:30:00Z",
"group": "1\u00aa Divisi\u00f3n",
"groupId": 2000053499,
"path": [
{
"id": 1000093190,
"name": "F\u00fatbol",
"englishName": "Football",
"termKey": "football"
},
{
"id": 2000051379,
"name": "Bielorrusa",
"englishName": "Belarus",
"termKey": "belarus"
},
{
"id": 2000053499,
"name": "1\u00aa Divisi\u00f3n",
"englishName": "1st Division",
"termKey": "1st_division"
}
],
"nonLiveBoCount": 6,
"sport": "FOOTBALL",
"tags": [
"MATCH"
],
"state": "NOT_STARTED",
"groupSortOrder": 1999999000000000000
}
],
"prePacks": []
}
I have update my sublime3 to newest version, then I can't use hotkey to run my py files. Here is my hot key configuration:
[
{
"caption": "Tmpl: Create python",
"command": "sublime_tmpl",
"keys": ["ctrl+alt+p"], "args": {"type": "python"}
},
{
"keys":["f1"],
"caption": "SublimeREPL: Python",
"command": "run_existing_window_command", "args":
{
"id": "repl_python",
"file": "config/Python/Main.sublime-menu"
}
},
{
"keys":["f2"],
"caption": "SublimeREPL: Python - RUN current file",
"command": "run_existing_window_command", "args":
{
"id": "repl_python_run",
"file": "config/Python/Main.sublime-menu"
}
},
]
When I press F2 or F1, there is nothing happened.
It appears that Sublime Text 3 build 3200 has broken the run_existing_window_command command. As alluded to in this answer the solution is to instead invoke the command that the SublimeREPL menu item is using.
If you navigate to your Sublime Text 3 packages directory (AppData/Roaming/Sublime Text 3/ by default on Windows), you can see the packages you have installed. From this directory, if you open SublimeREPL/config/Python/Main.sublime-menu, you'll see a big ole json file that looks something like this:
[
{
"id": "tools",
"children":
[{
"caption": "SublimeREPL",
"mnemonic": "R",
"id": "SublimeREPL",
"children":
[
{"caption": "Python",
"id": "Python",
"children":[
{"command": "repl_open",
"caption": "Python",
"id": "repl_python",
"mnemonic": "P",
"args": {
"type": "subprocess",
"encoding": "utf8",
"cmd": ["python", "-i", "-u"],
"cwd": "$file_path",
"syntax": "Packages/Python/Python.tmLanguage",
"external_id": "python",
"extend_env": {"PYTHONIOENCODING": "utf-8"}
}
}
<---snip--->
]}
]
}]
}
]
Notice that the innermost children key is a list of dictionaries with commands and args. We're going to copy those into the sublime-keymap file and replace the command and args that are already there. For example, your shortcut to open a python REPL would now look like:
"keys": ["f1"],
"command": "repl_open",
"args": {
"type": "subprocess",
"encoding": "utf8",
"cmd": ["python", "-u", "$file_basename"],
"cwd": "$file_path",
"syntax": "Packages/Python/Python.tmLanguage",
"external_id": "python",
"extend_env": {"PYTHONIOENCODING": "utf-8"}
}
Hitting F1 should now work like it used to.
I'm writing some IPython / Jupyter Notebooks which calculate and display a lot of SVG figures. As a minimal example, consider the following:
Almost every time I reopen such notebooks (especially the big ones), their figures are replaced by a textual output:
Of course, I could recalculate them by running all cells. But it is quite long, and the data are actually present in the JSON .ipynb file:
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/svg+xml": [
"<svg baseProfile=\"full\" height=\"200\" version=\"1.1\" width=\"300\" xmlns=\"http://www.w3.org/2000/svg\">\n",
"\n",
" <rect fill=\"red\" height=\"100%\" width=\"100%\"/>\n",
"\n",
" <circle cx=\"150\" cy=\"100\" fill=\"green\" r=\"80\"/>\n",
"\n",
" <text fill=\"white\" font-size=\"60\" text-anchor=\"middle\" x=\"150\" y=\"125\">SVG</text>\n",
"\n",
"</svg>"
],
"text/plain": [
"<IPython.core.display.SVG object>"
]
},
"execution_count": 1,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from IPython.core.display import SVG\n",
"SVG(url=\"https://mdn.mozillademos.org/files/3075/svgdemo1.xml\")"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 2",
"language": "python",
"name": "python2"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 2
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.10"
}
},
"nbformat": 4,
"nbformat_minor": 0
}
Am I doing anything wrong? Is this a known bug? Can you reproduce this behaviour on the same notebook? How to ensure that the SVG outputs is correctly shown each time I reopen a notebook?
Configuration: Fresh Mac OS X 10.10.4 installation of the latest IPython Notebook Anaconda package, but without any subsequent manual updates (i.e., this is still IPython 3.2.0-py27_0).
While running SublimeREPL: SBT for opened folder, I have the exact same problem as in The similar question asked before (OSError(2, 'No such file or directory')).
Unofrtunately, the solution provided there did not help much.
Would anybody be kind enough to give some clues as to what might still be wrong here?
I'm currently running Ubuntu 12.04.
My Main.sublime-menu config is as follows:
[
{
"id": "tools",
"children":
[{
"caption": "SublimeREPL",
"mnemonic": "r",
"id": "SublimeREPL",
"children":
[
{"caption": "Scala",
"id": "Scala",
"children":[
{"command": "repl_open",
"caption": "scala REPL",
"id": "repl_scala",
"mnemonic": "s",
"args": {
"type": "subprocess",
"encoding": "utf8",
"external_id": "scala",
"cmd": {"linux": ["scala"],
"osx": ["scala"],
"windows": ["scala.bat", "-i"]},
"soft_quit": "\nexit\n",
"cwd": "$file_path",
"cmd_postfix": "\n",
"extend_env": {"osx": {"EMACS": "1", "PATH": "{PATH}:/home/helluin/apps/sbt/bin"},
"linux": {"EMACS": "1", "PATH": "{PATH}:/home/helluin/apps/sbt/bin/"},
"windows": {"EMACS": "1"}},
"suppress_echo": false,
"syntax": "Packages/Scala/Scala.tmLanguage"
}
},
{"command": "repl_open",
"caption": "SBT for opened folder",
"id": "repl_sbt",
"mnemonic": "b",
"args": {
"type": "subprocess",
"encoding": "utf8",
"external_id": "scala",
"cmd": {"linux": ["sbt"],
"osx": ["sbt"],
"windows": ["sbt"]},
"soft_quit": "\nexit\n",
"cwd": "$folder",
"cmd_postfix": "\n",
"extend_env": {"osx": {"EMACS": "1", "PATH": "{PATH}:/usr/bin"},
"linux": {"EMACS": "1", "PATH": "{PATH}:/usr/bin"},
"windows": {"EMACS": "1"}},
"suppress_echo": false,
"syntax": "Packages/Scala/Scala.tmLanguage"
}
}
]}
]
}]
}
]
Also, the scala and sbt system paths are defined thusly
λ → which scala
/usr/bin/scala
λ → which sbt
/home/helluin/apps/sbt/bin/sbt
You have your paths mixed up. The "caption": "scala REPL" menu item has scala as its command, but the extended PATH is /home/helluin/apps/sbt/bin. The "caption": "SBT for opened folder" item has sbt as its command, yet the extended PATH is /usr/bin. You should switch them.
Alternatively, for the Scala REPL, make the first line of the command:
"cmd": {"linux": ["/usr/bin/scala"],
(although /usr/bin should already be in the system PATH). For the sbt REPL, make the first line of the command:
"cmd": {"linux": ["/home/helluin/apps/sbt/bin/sbt"],
and then you don't need to worry about extending that particular environment variable.