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In the previous post, we copied an image into 2d canvas and extracted the underlying data. The result was an array of rgba values. Let's edit this data and draw something with it.
ImageData = width, height, and color of pixels
In previous example, we copied an image into canvas, and extracted data using getImageData()
method.
In this sample, we set it to grab entire image by calling context.getImageData(0, 0, width, height)
. If you want to extract just a part of image from canvas, you can change arguments like context.getImageData(10, 10, 50, 50)
. This will only return 50 x 50 pixel data starting from x:10 y:10 position.
Inside of data
is a series of numbers from 0 - 255. It's the color information of this image lined up in order of red, green, blue, and alpha, from top left (x:0, y:0) corner.
var imageData = context.getImageData(0, 0, width, height);
console.log(imageData.data)
//[0, 43, 125, 255, 44, 113, 193, 255, 44, 113, 193, 255, 255, ...]
Since we know width and height of this ImageData, we can calculate position of each color from the index of each element.
Edit pixel colors
Now that we know about ImageData, let's change an appearance of an image by hand manipulating it. Following loop go over each pixel data and increase red value by 30 making it warmer color.
var imageData = context.getImageData(0, 0, width, height);
var pixeldata = imageData.data;
for(var i=0; i<pixeldata.length; i+=4){
pixeldata[i] += 30 // red
// pixeldata[i+1] green
// pixeldata[i+2] blue
// pixeldata[i+3] alpha
}
Draw with edited ImageData
To load ImageData object into canvas, we use putImageData
method on context.
context.putImageData(imageData, 0, 0)
will draw an image based on edited ImageData.
Working with multiple ImageData
Instead of editing image data directly, we can also create new ImageData object by createImageData
. Creating new object allows us to preserve original data while making many edited images.
var newImageData = context.createImageData(width, height);
var newPixelData = newImageData.data;
for(var i=0; i<newPixelData.length; i+=4){
newPixelData[i] = originalPixelData[i];
newPixelData[i+1] = originalPixelData[i+1] + 30;
newPixelData[i+2] = originalPixelData[i+2];
newPixelData[i+3] = originalPixelData[i+3];
}
context.putImageData(newImageData, 0, 0);
Note on Typed Array
Data property of ImageData object use an 'Array like' object called Typed Array. While it looks like a regular JavaScript Array, it is incompatible to each other. Some methods (i.e push
and pop
) are not provided since the size of Typed Array can not be changed after it is created. This also means you can not create an regular Array and assign it to ImageData.
// !! this will not work !!
var imageData = context.getImageData(0, 0, width, height);
// assign regular Array to ImageData object
imageData.data = [0, 43, 125, 255, 44, 113, 193, 255];
context.putImageData(imageData, 0, 0);
Let's look into what Typed Array is in the next post !


--- creation_epoch:<PHONE_NUMBER> lastmod_epoch:<PHONE_NUMBER> categories: ['Computer Problems'] title: How to fix NFS (v4) not mounting /etc/fstab entries on boot --- You want to auto-mount on boot an NFS (I was using nfs4), but for some reason when you place it in /etc/fstab it just won't.
I modified some network settings on a machine, and it stopped working. Ubuntu Server 10.10 64-bit with nfs-common 1.2.2 installed. It worked fine for a while.
My /etc/fstab:
# non-nfs stuff removed <IP_ADDRESS>:/users /home nfs4 _netdev,auto 0 0
The fix:
#!/bin/bash # Have to ping the NFS server to know when the network is actually configured # This is the only way to use /etc/fstab although you may be better off using Autofs Automounter instead # It's just a limitation of NFS and Linux booting. If your network was Wifi you'd have this problem even worse # It may take a few seconds after boot (you get a login prompt on your local console) before this gets to mount too while [ ping <IP_ADDRESS> -c 2 2>/dev/null >/dev/null ] do sleep 1 done mount -a -O _netdev
See also:


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open class GrapheneObject : ByteSerializable
Represents base graphene object model
Encapsulates logic of parsing object id
Author
Dmitriy Bushuev
<init> |
Represents base graphene object model GrapheneObject(id: String) |
id |
var id: String |
instance |
var instance: Long |
space |
var space: Int |
type |
var type: Int |
getObjectId |
Returns a String containing the full object apiId in the form {space}.{type}.{instance} fun getObjectId(): String |
getObjectType |
Returns the type of this object. fun getObjectType(): ObjectType? |
toBytes |
Converts entity to byte-array representation open fun toBytes(): ByteArray |
KEY_ID |
const val KEY_ID: String |
Account |
Represents account model in blockchain class Account : GrapheneObject, GrapheneSerializable |
Asset |
Class used to represent a specific asset on the Graphene platform class Asset : GrapheneObject, ByteSerializable |
Contract |
Represents contract_object from blockchain class Contract : GrapheneObject, GrapheneSerializable |
ContractBalance |
Represents contract balance model from blockchain class ContractBalance : GrapheneObject |
ContractInfo |
Represents info object about contract from blockchain class ContractInfo : GrapheneObject |
Deposit |
Echo sidechain base deposit model sealed class Deposit : GrapheneObject |
DynamicGlobalProperties |
Represents account model in Graphene blockchain Dynamic global properties details (https://dev-doc.myecho.app/classgraphene_1_1chain_1_1dynamic__global__property__object.html) class DynamicGlobalProperties : GrapheneObject, Serializable |
ERC20Deposit |
Echo erc20 sidechain deposit model class ERC20Deposit : GrapheneObject |
ERC20Token |
Descibes model of ERC20 token in ECHO network class ERC20Token : GrapheneObject, GrapheneSerializable |
ERC20Withdrawal |
Echo sidechain withdrawal model class ERC20Withdrawal : GrapheneObject |
Withdraw |
Echo sidechain base withdraw model sealed class Withdraw : GrapheneObject |


Class SIPResponse
Represents a SIP Response.
Inherited Members
Namespace: SIPSorcery.SIP
Assembly: SIPSorcery.dll
Syntax
public class SIPResponse : SIPMessageBase
Constructors
| Improve this Doc View SourceSIPResponse(SIPResponseStatusCodesEnum, String)
SIPResponse Constructor.
Declaration
public SIPResponse(SIPResponseStatusCodesEnum responseStatus, string reasonPhrase)
Parameters
| Type | Name | Description |
|---|---|---|
| SIPResponseStatusCodesEnum | responseStatus | The status code for the response. |
| System.String | reasonPhrase | Optional description for the response. Should be kept short. |
SIPResponse(SIPResponseStatusCodesEnum, String, SIPEndPoint, SIPEndPoint)
SIPResponse Constructor.
Declaration
[Obsolete("The local and remote SIP end points are now only for recording receiving sockets. Use the new send from hint proprties.", true)]
public SIPResponse(SIPResponseStatusCodesEnum responseStatus, string reasonPhrase, SIPEndPoint localSIPEndPoint, SIPEndPoint remoteSIPEndPoint)
Parameters
| Type | Name | Description |
|---|---|---|
| SIPResponseStatusCodesEnum | responseStatus | The status code for the response. |
| System.String | reasonPhrase | Optional description for the response. Should be kept short. |
| SIPEndPoint | localSIPEndPoint | The local SIP end point the response was received on or should be sent from. |
| SIPEndPoint | remoteSIPEndPoint | Optional remote SIP end point the response came from or should be sent to. If set as null the SIP transport layer will attempt to resolve the remote end point using the response's headers. |
Fields
| Improve this Doc View SourceReasonPhrase
The optional reason phrase for the SIP response.
Declaration
public string ReasonPhrase
Field Value
| Type | Description |
|---|---|
| System.String |
SIPVersion
The version string for the SIP response.
Declaration
public string SIPVersion
Field Value
| Type | Description |
|---|---|
| System.String |
Status
The status of the SIP response, e.g OK or NotAuthorized.
Declaration
public SIPResponseStatusCodesEnum Status
Field Value
| Type | Description |
|---|---|
| SIPResponseStatusCodesEnum |
StatusCode
The status code of the SIP response, e.g. 200 for an OK response.
Declaration
public int StatusCode
Field Value
| Type | Description |
|---|---|
| System.Int32 |
Properties
| Improve this Doc View SourceShortDescription
A short one line summary of the SIP response. Useful for logging or diagnostics.
Declaration
public string ShortDescription { get; }
Property Value
| Type | Description |
|---|---|
| System.String |
Methods
| Improve this Doc View SourceCopy()
Creates an identical copy of the SIP Response for the caller.
Declaration
public SIPResponse Copy()
Returns
| Type | Description |
|---|---|
| SIPResponse | New copy of the SIPResponse. |
GetResponse(SIPEndPoint, SIPEndPoint, SIPResponseStatusCodesEnum, String)
Used to create a SIP response for a request when it was not possible to parse the incoming SIP request. The response generated by this method may or may not make it back to the requester. Because the SIP request could not be parsed there are no Via headers available and without those the return network path is missing. Instead a new Via header is generated that may get through if the requester is only one SIP hop away.
Declaration
public static SIPResponse GetResponse(SIPEndPoint localSIPEndPoint, SIPEndPoint remoteSIPEndPoint, SIPResponseStatusCodesEnum responseCode, string reasonPhrase)
Parameters
| Type | Name | Description |
|---|---|---|
| SIPEndPoint | localSIPEndPoint | The local SIP end point the request was received on. |
| SIPEndPoint | remoteSIPEndPoint | The remote SIP end point the request was received on. |
| SIPResponseStatusCodesEnum | responseCode | The response code to set on the response. |
| System.String | reasonPhrase | Optional reason phrase to set on the response (keep short). |
Returns
| Type | Description |
|---|---|
| SIPResponse |
GetResponse(SIPRequest, SIPResponseStatusCodesEnum, String)
Helper method to create a SIP response for a SIP request. This method can be thought of as creating a vanilla (or no frills) response for a request. It's suitable for generating error responses. For requests that require an action such as creating a call or registering a contact the response will require additional information and this method will not be suitable.
Declaration
public static SIPResponse GetResponse(SIPRequest sipRequest, SIPResponseStatusCodesEnum responseCode, string reasonPhrase)
Parameters
| Type | Name | Description |
|---|---|---|
| SIPRequest | sipRequest | The SIP request to create the response for. |
| SIPResponseStatusCodesEnum | responseCode | The response code. |
| System.String | reasonPhrase | Optional reason phrase to set on the response (needs to be short). |
Returns
| Type | Description |
|---|---|
| SIPResponse | A SIP response object. |
ParseSIPResponse(SIPMessageBuffer)
Parses a SIP response from a SIP message object.
Declaration
public static SIPResponse ParseSIPResponse(SIPMessageBuffer sipMessageBuffer)
Parameters
| Type | Name | Description |
|---|---|---|
| SIPMessageBuffer | sipMessageBuffer | The SIP message to parse a response from. |
Returns
| Type | Description |
|---|---|
| SIPResponse | A new SIP response object. |
ParseSIPResponse(String)
Parses a SIP response from a string.
Declaration
public static SIPResponse ParseSIPResponse(string sipMessageStr)
Parameters
| Type | Name | Description |
|---|---|---|
| System.String | sipMessageStr | The string to parse the SIP response from. |
Returns
| Type | Description |
|---|---|
| SIPResponse | A new SIP response object. |
SetSendFromHints(SIPEndPoint)
Sets the send from hints for this response based on a local SIP end point. The local SIP end point should generally be the one a related request or response was received on.
Declaration
public void SetSendFromHints(SIPEndPoint localEndPoint)
Parameters
| Type | Name | Description |
|---|---|---|
| SIPEndPoint | localEndPoint | The SIP end point to base the send from hints on. |
ToString()
Returns a string representing the full SIP response.
Declaration
public override string ToString()
Returns
| Type | Description |
|---|---|
| System.String | A string representation of the SIP response. |


Have a question about a product, feedback, or business inquiry for Fitness Blender?
Please note: Due to our small team and for liability reasons, we are not able to provide answers to personal health or fitness questions or custom workout plans. For all other inquiries please allow up to 24 hours for a response and please be aware that our customer service is typically closed on Saturday and Sunday. Thank you for understanding.


{% extends "base.html" %} {% block title %} Gene Search {% endblock %} {% block content %}
If you are unsure as to your official gene name search NCBI.


Created by Alex Juarez / @mralexjuarez
A pseudo filesystem that acts as an interface to the kernel. It gives us real-time access to stats as well as the abality to change some tuneables.
# watch stat /proc/cpuinfo
We all stand on the shoulders of giants.
https://www.kernel.org/doc/Documentation/filesystems/proc.txtLets find out about it.
/proc/cmdline shows us arguments passed to the kernel at boot time.
/proc/cpuinfo can show you the cpu(s) on the system.
Useful When: You need to see the flags your CPU offers up i.e. Can we do virtualization?
For each process there is a directory under /proc that corresponds to the processes PID.
This file contains the command line for the process.
Useful When: A process looks suspicious in the output of common tools.
This file contains the processes environment variables.
Useful When: You think environment variables might not be passed or available.
This directory contains symbolic links to open files.
Useful When: You need to see if a file is being used or need to attempt to recover a file.
These files report on a processes memory usage.
Both stat and status give the status of the process with status being a bit more human readable.
These files determine how likely it is a process will be killed off by OOM-Killer (Out-of-Memory Killer)
oom_adj is one of the files we can adjust per-process from the range of -1000 to 1000 with the lower numbers being the lest likely to be killed off.
# pgrep -uroot httpd
# pidof httpd
# cat /proc/self/cmdline
# cat /proc/$$/cmdline
Files under /proc/sys are unique because they expose the kernel variables which are tunable
# sysctl -a kernel.sched_child_runs_first = 0 kernel.sched_min_granularity_ns = 1000000 kernel.sched_latency_ns = 5000000 kernel.sched_wakeup_granularity_ns = 1000000 kernel.sched_tunable_scaling = 1 kernel.sched_features = 3183 kernel.sched_migration_cost = 500000 kernel.sched_nr_migrate = 32 kernel.sched_time_avg = 1000 kernel.sched_shares_window = 10000000 kernel.timer_migration = 1 kernel.sched_rt_period_us = 1000000 kernel.sched_rt_runtime_us = 950000 kernel.sched_compat_yield = 0 kernel.sched_rr_timeslice_ms = 100 kernel.sched_autogroup_enabled = 0 kernel.sched_cfs_bandwidth_slice_us = 5000 kernel.panic = 0 ...
A kernel tunable
net.ipv4.icmp_echo_ignore_all = 1
The path
cat /proc/sys/net/ipv4/icmp_echo_ignore_all
A kernel tunable
echo 1 > /proc/sys/net/ipv4/icmp_echo_ignore_all
The path
sysctl -a | grep icmp_echo_ignore_all >> /etc/sysctl.conf
You are working away on a configuration and accidently delete a number of open log files currently in use.
Idea: Use strace to deconstruct common programs reading from /proc. Use the information to re-build common tools.
This hCard created with the hCard creator.
Alex Juarez is a Principal Engineer at Rackspace, touting 8 years with the company. Alex enjoys all things Linux, especially training and mentoring others, and is incredibly qualified to do so as an RHCA/RHCI. When Alex isn't helping others he's crafting killer cocktails and finding the best spots to grub in San Antonio.
Thanks @jilljubs


Left Side
Here is the Content
Right Side
Hers is the content
can you?
Put these divs next to each other?-Make the screen smaller,still working?
Make them taller?
Afer you that can you center them under.


--- layout: home search_exclude: true image: images/banner.jpg --- With four parameters I can fit an elephant and with five I can make him wiggle his trunk. —John von Neumann, cited by Enrico Fermi in Nature 427 ![]({{site.baseurl}}/images/banner.jpg)
# Posts


--- layout: post title: Adding to the Send to command tags: [] status: publish type: post published: true meta: {} ---
One way to quickly open files is to use the send to command that you usually find by right clicking on a file. This is extremely usueful when you are developing and you quickly want to look at the content of a file. Now the only problem that exists is that most file types are not listed in there. So what you now need to do is to add the progam you wish to send the files to. In the following I will show you how to do this.
The first thing you need to do is locate the Send To folder. This can be found in your Profiles directory, e.g.: c:winntprofiles<your username>Send To. Once you have located that folder you will need to add a shortcut to the application you wich to send files to. So in this example we are going to add the Notepad application to the Send To folder.
Right click on the folder space and select New/Shortcut. Then all you need to do is locate the Notepad.exe file, which is located in the c:winnt and follow the prompts.
There you go all done, quickly check by right clicking and looking at the options available to you under Send To!


|
Panda3D
|
Directories | |
| directory | actor |
| directory | cluster |
| directory | controls |
| directory | directbase |
| directory | directdevices |
| directory | directnotify |
| directory | directtools |
| directory | directutil |
| directory | dist |
| directory | distributed |
| directory | filter |
| directory | fsm |
| directory | gui |
| directory | interval |
| directory | leveleditor |
| directory | motiontrail |
| directory | p3d |
| directory | particles |
| directory | physics |
| directory | showbase |
| directory | showutil |
| directory | stdpy |
| directory | task |
| directory | tkpanels |
| directory | tkwidgets |
| directory | wxwidgets |
Files | |
| file | __init__.py |


Functions for accessing Moodle data or data in the local cache of Moodle tables.
mdl_config()
Moodle Configuration Table
mdl_courses()
Get Courses
mdl_forum_posts()
Get Forum Posts
mdl_grades()
Get Grades
mdl_log()
Access Moodle's Logs
mdl_users()
Get Moodle Users
Functions for configuring database access, downloading dataand setting up a local cache.
mdl_get_connection()
Connect to Moodle Data
mdl_get_cache_connection()
Connection to Cached Moodle Data
mdl_create_cache()
Creates a Local Cache
Summary functions with sensible defaults for the domain in question.
summary(<mdl_courses>)
Summary of mdl_courses Object
summary(<mdl_forum_posts>)
Summary of mdl_forum_posts Object
summary(<mdl_grades>)
Summary of mdl_grades Object
summary(<mdl_users>)
Summary of mdl_users Object
Plot functions with sensible defaults for the domain in question.
plot(<mdl_forum_posts>)
Wordcloud Plot
plot(<mdl_grades>)
Plot Moodle Grades
Print functions with sensible defaults for the domain in question.
print(<mdl_courses_summary>)
Print Moodle Courses Summary
print(<mdl_grades_summary>)
Print Moodle Grades Summary
print(<mdl_post_summary>)
Print Moodle Forum Post Summary
print(<mdl_users_summary>)
Print Moodle Users Summary
Checks if cache has been created correctly.
check_mdl_cache()
Check Cached Data
Gets the cache directory and filename.
mdl_get_cache_dir()
Get the Cache Directory
mdl_get_cache_filename()
Get the Cache Filename
Creates an example config.yml file and opens it for editing.
example_config_yml()
Example Config yml File


Grains & Cereals
At Conscious food we try to make the culinary journey as varied as possible. Which is why our range of organic flours and grains extends a step further than your usual grocery stock. We’ve got mixes of power-packed Green Gram, Soyabean, Moth Bean, Whole Black Gram,Whole Pigeon Pea, Kidney Bean, Bengal Gram Horse Gram, Black Eyed Bean, White Beans, Bhatt and Chickpeas. We’ve got organic grains and cereals from millets to black rice to dalia.


Category
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Repeat Password
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Swop all or part of your current Electricity Bill for the usage of Solar Equipment and own the equipment within 10 years. Making savings in the process and switch a Living Expense into an Investment
SolarSwop is using Distributed Ledger Technology (DLT) to launch a Renewable Energy Fund via an ICO / ITO (Initial Token Offering) to fund the development of DLT Energy Trading Platform, a market place for energy providers, investors, end user finance, and project developer finance
Free Energy while the sun shines
Protect yourself againts
Electricity price hikes
Hot water and Electricity during
load shedding and Power Outages
Save money and Create an
Investment
(Founder)
SolarSwop Project
Leader and Platform
Development
(Co-Founder)
Commercial & Residential
EPC Director
(Co-Founder)
Field Operations
Director
EPC and Global
Developments
Electrical Engineering
Projects Director


{{eventDetail.Name}}
{{eventDetail.StartDate | date: 'dd/MM/yyyy'}}
{{eventDetail.EndDate | date: 'dd/MM/yyyy'}}
{{eventDetail.RegistrationCloseDate | date: 'dd/MM/yyyy'}}
0.00
{{eventDetail.KitCount}}
{{eventDetail.Venue}}
{{eventDetail.organiser_detail.Name || 'NA' }}
{{eventDetail.organiser_detail.Email || 'NA'}}
{{eventDetail.organiser_detail.Phone || 'NA'}}
{{eventDetail.organiser_detail.Phone1 || 'NA'}}
{{eventDetail.organiser_detail.GSTIN || 'NA'}}
{{eventDetail.organiser_detail.PAN || 'NA'}}
{{eventDetail.organiser_detail.CIN || 'NA'}}
{{eventDetail.organiser_detail.CGST || 'NA'}}
{{eventDetail.organiser_detail.SGST || 'NA'}}
{{eventDetail.organiser_detail.Address || 'NA'}}
{{eventDetail.EarlyBirdDate | date: 'dd/MM/yyyy'}}
{{eventDetail.EarlyBirdPrice | number: '1.2-2'}}
{{eventDetail.PostEarlyBirdPrice | number: '1.2-2'}}
{{eventDetail.CMEPoints}}
| Date | Breakfast | Lunch | Dinner |
|---|---|---|---|
| 08/01/2020 |
|
|
|
| 09/01/2020 |
|
|
|
| 10/01/2020 |
|
|
|
| Question | Answer1 | Answer2 | Answer3 | Answer4 | Action |
|---|---|---|---|---|---|
| What is your favourite film industry? | Hollywood | Bollywood | Kollywood | Tollywood | |
| What is your first programming language? | Java | C++ | Python | Go | |
| What is your mother tounge? | Tamil | English | Japanse | Chinease | |
| What is your favourite film industry? | Hollywood | Bollywood | Kollywood | Tollywood |
| Date | Breakfast | Lunch | Dinner |
|---|---|---|---|
| 08/01/2020 | |||
| 09/01/2020 | |||
| 10/01/2020 |


Shoot
Left
Right
Up
Down
You are Dead by fire!
Respawn
You are Dead by stomp!
Respawn
Join Game
Hold On! Game is about to begin!
Can't find yourself? Click the Profile picture to show it over your Gnome.
[Here: Thank Heroes or encourage going Hero]
When Ready, Start The Game
Start Game with Keyboard Dragon
Start Game as Dragon
(Coming Soon)Play With AI Dragon
Hurray! The Day is saved!
Return to Main Menu


Huawei rewards staff with $286m in bonuses as it fights US sanctions
by James WarringtonHuawei is set to pay its employees ¥2bn ($286m) in bonuses and double almost all October salaries as a reward for helping to fight US sanctions.
The Chinese telecoms giant has been banned from doing business with American companies amid concerns its technology could be used for spying – accusations it has denied.
Read more: UK set to delay Huawei 5G decision until after election
The firm is set to distribute the $286m packet to staff working in a team focused on minimising the impact of the sanctions through research and development, as well as finding new supply chains.
The tough sanctions have forced Huawei to reduce its reliance on international suppliers such as Qualcomm and Arm. The company has also developed its own operating system, named Harmony, after it was banned from using Google’s Android.
Huawei employs roughly 190,000 people worldwide, almost half of whom work in its research and development division.
One source told City A.M. that Huawei staff had been working round-the-clock shifts in order to counter the impact of the sanctions.
In addition, the company will also pay most employees a bonus of one month’s extra salary, according to an internal email seen by the Financial Times.
The bonuses, set to be distributed on Friday, come after Singles Day, a 24-hour e-commerce sale pioneered by Chinese retail giant Alibaba. This year’s bonanza generated a record $38bn in sales.
Huawei has so far weathered the sanctions storm, posting a revenue increase of almost 25 per cent in the third quarter, though analysts have questioned whether the company is yet to feel the full effect of the ban.
Nevertheless, founder Ren Zhengfei has played down the impact of US measures and has insisted his firm can continue to grow its smartphone sales, boosted by strong trading in its home market.
Read more: Huawei posts revenue rise as US crackdown fails to halt growth
The UK government last month delayed its decision on whether to ban Huawei products from telecoms infrastructure until after the General Election in December. A decision was originally due in the spring.
While no official verdict has been given, a national security leak in April suggested the UK will allow Huawei to build non-core parts of the country’s 5G network, and all four major mobile providers have now launched their networks using the Chinese firm’s kit.
Main image credit: Getty


Preparation time
less than 30 mins
Cooking time
30 mins to 1 hour
Serves
Serves 6-8
Try serving this warming gratin of potatoes, bacon, onions and cheese on a chilly day. It's quite rich, so best accompanied by a simple green salad.
Preheat the oven to 200C/400F/Gas 6.
Place the whole potatoes in a large pan, cover with water and bring to the boil. Cook for 10 minutes.
While cooking, heat a frying pan until medium-hot, add a knob of the butter, onion and thyme and gently fry for 5-8 minutes, or until softened, but not coloured.
Drain the potatoes and, when they are cool enough to handle, scrape the skins off using a table knife and cut them into thick slices (about 5mm thick).
Rub the cut side of the garlic all over the inside of an ovenproof dish, then smear on some butter.
Place the sliced onions into the dish and spread out over the base, then lay six slices of bacon across the top. Lay the potatoes in concentric circles over the top, then place the cheese in the centre. Top with half the remaining butter and season with freshly ground black pepper and a touch of salt.
Bake in the oven for 45 minutes, or until the potatoes are lovely and crisp around the edges and the cheese is totally melted.
While the tartiflette is cooking, melt the remaining butter and chop the remaining slices of bacon into small pieces. Heat a frying pan, add the bacon and cook over a medium heat until the fat starts to render out, then turn the heat up and cook until crisp and browned.
To make the dressing, whisk the Dijon mustard, vinegar and egg yolk together until pale then very slowly add the vegetable oil, whisking all the time until the mixture emulsifies. Pour the mixture into the hot fat from the bacon pan and whisk to combine. Season to taste with salt and pepper.
Toss the crisp bacon with the salad leaves and toss with a little of the dressing.
Remove the tartiflette from the oven and brush with a little melted butter. Serve in slices with the dressed salad.


Find Your Flow, Below.
This is where my historical data is saved
This app was made with the free Bootstrap template Grayscale
Feel free to email us to provide some feedback on our app, or fork and clone this on github.
circleR@gmail.com


VeriBlock, a sidechain leveraging Bitcoin’s safety, costs mines between 6. 7 and 8. 3 BTC every single 24 hours, Cripto Noticias reports, whilst block rewards generate roughly five BTC. VeriBlock launched an Initial Trade Offering through Bittrex earlier this year.


from herschelhelp_internal import git_version
print("This notebook was run with herschelhelp_internal version: \n{}".format(git_version()))
%matplotlib inline
#%config InlineBackend.figure_format = 'svg'
import matplotlib.pyplot as plt
plt.rc('figure', figsize=(10, 6))
plt.style.use('ggplot')
import locale
locale.setlocale(locale.LC_ALL, 'en_GB')
import os
import time
import itertools
from astropy.coordinates import SkyCoord
from astropy.table import Table
from astropy import units as u
from astropy import visualization as vis
import numpy as np
from matplotlib_venn import venn3
from herschelhelp_internal.masterlist import nb_compare_mags, nb_ccplots, nb_histograms, find_last_ml_suffix
OUT_DIR = os.environ.get('OUT_DIR', "./data")
SUFFIX = find_last_ml_suffix()
#SUFFIX = "20171016"
master_catalogue_filename = "master_catalogue_egs_{}.fits".format(SUFFIX)
master_catalogue = Table.read("{}/{}".format(OUT_DIR, master_catalogue_filename))
print("Diagnostics done using: {}".format(master_catalogue_filename))
flag_obs = master_catalogue['flag_optnir_obs']
flag_det = master_catalogue['flag_optnir_det']
venn3(
[
np.sum(flag_obs == 4),
np.sum(flag_obs == 2),
np.sum(flag_obs == 6),
np.sum(flag_obs == 1),
np.sum(flag_obs == 5),
np.sum(flag_obs == 3),
np.sum(flag_obs == 7)
],
set_labels=('mid-IR', 'near-IR', 'Optical' ),
subset_label_formatter=lambda x: "{}%".format(int(100*x/len(flag_obs)))
)
plt.title("Wavelength domain observations");
venn3(
[
np.sum(flag_det[flag_obs == 7] == 4),
np.sum(flag_det[flag_obs == 7] == 2),
np.sum(flag_det[flag_obs == 7] == 6),
np.sum(flag_det[flag_obs == 7] == 1),
np.sum(flag_det[flag_obs == 7] == 5),
np.sum(flag_det[flag_obs == 7] == 3),
np.sum(flag_det[flag_obs == 7] == 7)
],
set_labels=('mid-IR', 'near-IR', 'Optical'),
subset_label_formatter=lambda x: "{}%".format(int(100*x/np.sum(flag_det[flag_obs == 7] != 0)))
)
plt.title("Detection of the {} sources detected\n in any wavelength domains\n in regions observed in all domains "
"(among {} total sources)".format(
locale.format('%d', np.sum(flag_det != 0), grouping=True),
locale.format('%d', len(flag_det), grouping=True)));
The master list if composed of several catalogues containing magnitudes in similar filters on different instruments. We are comparing the magnitudes in these corresponding filters.
u_bands = ["Megacam u"]
g_bands = ["Megacam g", "GPC1 g"] #No Suprime g?
r_bands = ["Megacam r", "SUPRIME r", "GPC1 r"]
i_bands = ["Megacam i", "SUPRIME i", "GPC1 i"]
z_bands = ["Megacam z", "SUPRIME z", "GPC1 z"]
y_bands = [ "SUPRIME y", "GPC1 y"]
#TODO look at narrow hst bands. Also many other ugrizy bands
We compare the histograms of the total aperture magnitudes of similar bands.
for bands in [u_bands, g_bands, r_bands, i_bands, z_bands, y_bands]:
colnames = ["m_{}".format(band.replace(" ", "_").lower()) for band in bands]
nb_histograms(master_catalogue, colnames, bands)
We compare one to one each magnitude in similar bands.
for band_of_a_kind in [u_bands, g_bands, r_bands, i_bands, z_bands, y_bands]:
for band1, band2 in itertools.combinations(band_of_a_kind, 2):
basecol1, basecol2 = band1.replace(" ", "_").lower(), band2.replace(" ", "_").lower()
col1, col2 = "m_ap_{}".format(basecol1), "m_ap_{}".format(basecol2)
nb_compare_mags(master_catalogue[col1], master_catalogue[col2],
labels=("{} (aperture)".format(band1), "{} (aperture)".format(band2)))
col1, col2 = "m_{}".format(basecol1), "m_{}".format(basecol2)
nb_compare_mags(master_catalogue[col1], master_catalogue[col2],
labels=("{} (total)".format(band1), "{} (total)".format(band2)))
Cross-match the master list to SDSS and 2MASS to compare its magnitudes to SDSS and 2MASS ones.
master_catalogue_coords = SkyCoord(master_catalogue['ra'], master_catalogue['dec'])
The catalogue is cross-matched to SDSS-DR13 withing 0.2 arcsecond.
We compare the u, g, r, i, and z magnitudes to those from SDSS using fiberMag
for the aperture magnitude and petroMag
for the total magnitude.
sdss = Table.read("../../dmu0/dmu0_SDSS-DR13/data/SDSS-DR13_EGS.fits")
sdss_coords = SkyCoord(sdss['ra'] * u.deg, sdss['dec'] * u.deg)
idx, d2d, _ = sdss_coords.match_to_catalog_sky(master_catalogue_coords)
mask = (d2d < 0.2 * u.arcsec)
sdss = sdss[mask]
ml_sdss_idx = idx[mask]
for band_of_a_kind in [u_bands, g_bands, r_bands, i_bands, z_bands]:
for band in band_of_a_kind:
sdss_mag_ap = sdss["fiberMag_{}".format(band[-1])]
master_cat_mag_ap = master_catalogue["m_ap_{}".format(band.replace(" ", "_").lower())][ml_sdss_idx]
nb_compare_mags(sdss_mag_ap, master_cat_mag_ap,
labels=("SDSS {} (fiberMag)".format(band[-1]), "{} (aperture)".format(band)))
sdss_mag_tot = sdss["petroMag_{}".format(band[-1])]
master_cat_mag_tot = master_catalogue["m_ap_{}".format(band.replace(" ", "_").lower())][ml_sdss_idx]
nb_compare_mags(sdss_mag_ap, master_cat_mag_ap,
labels=("SDSS {} (petroMag)".format(band[-1]), "{} (total)".format(band)))
The catalogue is cross-matched to 2MASS-PSC withing 0.2 arcsecond. We compare the WIRCAM total J and K magnitudes to those from 2MASS.
The 2MASS magnitudes are “Vega-like” and we have to convert them to AB magnitudes using the zero points provided on this page:
| Band | Fν - 0 mag (Jy) |
|---|---|
| J | 1594 |
| H | 1024 |
| Ks | 666.7 |
2MASS and WIRCAM both use Ks so no conversion is required.
# The AB zero point is 3631 Jy
j_2mass_to_ab = 2.5 * np.log10(3631/1595)
k_2mass_to_ab = 2.5 * np.log10(3631/666.7)
twomass = Table.read("../../dmu0/dmu0_2MASS-point-sources/data/2MASS-PSC_EGS.fits")
twomass_coords = SkyCoord(twomass['raj2000'], twomass['dej2000'])
idx, d2d, _ = twomass_coords.match_to_catalog_sky(master_catalogue_coords)
mask = (d2d < 0.2 * u.arcsec)
twomass = twomass[mask]
ml_twomass_idx = idx[mask]
nb_compare_mags(twomass['jmag'] + j_2mass_to_ab, master_catalogue['m_wircam_j'][ml_twomass_idx],
labels=("2MASS J", "WIRCAM J (total)"))
nb_compare_mags(twomass['kmag'] + k_2mass_to_ab, master_catalogue['m_wircam_k'][ml_twomass_idx],
labels=("2MASS Ks", "WIRCAM Ks (total)"))
From here, we are only comparing sources with a signal to noise ratio above 3, i.e. roughly we a magnitude error below 0.3.
To make it easier, we are setting to NaN in the catalogue the magnitudes associated with an error above 0.3 so we can't use these magnitudes after the next cell.
for error_column in [_ for _ in master_catalogue.colnames if _.startswith('merr_')]:
column = error_column.replace("merr", "m")
keep_mask = np.isfinite(master_catalogue[error_column])
keep_mask[keep_mask] &= master_catalogue[keep_mask][error_column] <= 0.3
master_catalogue[column][~keep_mask] = np.nan
nb_ccplots(
master_catalogue['m_megacam_r'],
master_catalogue['m_ap_megacam_r'] - master_catalogue['m_megacam_r'],
"r total magnitude (CFHT)", "r aperture mag - total mag (CFHT)",
master_catalogue["stellarity"],
invert_x=True
)
nb_ccplots(
master_catalogue['m_suprime_g'] - master_catalogue['m_suprime_i'],
master_catalogue['m_wircam_j'] - master_catalogue['m_wircam_k'],
"g - i (HSC)", "J - Ks (WIRCAM)",
master_catalogue["stellarity"]
)
nb_ccplots(
master_catalogue['m_suprime_i'] - master_catalogue['m_irac-egs_i1'],
master_catalogue['m_suprime_g'] - master_catalogue['m_suprime_i'],
"HSC i - IRAC1", "g - i (HSC)",
master_catalogue["stellarity"]
)
nb_ccplots(
master_catalogue['m_megacam_u'] - master_catalogue['m_megacam_g'],
master_catalogue['m_megacam_g'] - master_catalogue['m_megacam_r'],
"u - g (CFHT)", "g - r (CFHT)",
master_catalogue["stellarity"]
)
nb_ccplots(
master_catalogue['m_wircam_j'] - master_catalogue['m_wircam_k'],
master_catalogue['m_suprime_g'] - master_catalogue['m_wircam_j'],
"J - K (WIRCAM)", "g - J (HSC, WIRCAM)",
master_catalogue["stellarity"]
)
nb_ccplots(
master_catalogue['m_megacam_i'] - master_catalogue['m_megacam_z'],
master_catalogue['m_megacam_z'] - master_catalogue['m_wircam_j'],
"i - z (Megacam)", "z - J (Megacam, Wircam)",
master_catalogue["stellarity"]
)
nb_ccplots(
master_catalogue['m_irac-egs_i3'] - master_catalogue['m_irac-egs_i4'],
master_catalogue['m_irac-egs_i1'] - master_catalogue['m_irac-egs_i2'],
"IRAC3 - IRAC4", "IRAC1 - IRAC2",
master_catalogue["stellarity"]
)


Before writing anything, make sure you know the answers to these questions:
How can we expect a user to know what’s going on and how to fix something if we don’t?
A good error message structure explains what happened and what can be done about it. A good error message has the following structure:
Here’s an example of an inline form error message:
If we can’t place the specific error, we’re deliberately vague. The best we can do is tell the user how they might fix it.
We want to help folks fix errors quickly, so error messages should be concise. Strip out unnecessary words. Keep detail only when it’s relevant.
| {% icon "Clear", "mtn1 mbn1" %} Don’t | {% icon "Checkmark", "mtn1 mbn1" %} Do |
|---|---|
| “Can’t create ‘Engineering’ because a team with that name already exists. Specify a different name.” | “‘Engineering’ already exists. Try another team name.” |
| “Your notification failed and needs to be re-authorized.” | “Notification failed, please re-authorize it.” |
Apologize when it’s the system’s fault and let the user know it’s not their fault. Use an active voice to accept responsibility. For example:
| {% icon "Clear", "mtn1 mbn1" %} Don’t | {% icon "Checkmark", "mtn1 mbn1" %} Do |
|---|---|
| “Your changes couldn’t be saved.” | “We couldn’t save your changes.” |
Sometimes it’s the user’s fault, but there are ways to tell them without sounding like we’re pointing the finger. For example, we can focus on the desired action rather than telling the user they’ve messed up:
| {% icon "Clear", "mtn1 mbn1" %} Don’t | {% icon "Checkmark", "mtn1 mbn1" %} Do |
|---|---|
| “You’ve missed your name.” | “Please enter your name.” |
| “You can’t leave this blank.” | “Please enter a team name.” |
A passive voice can work for more serious user errors, such as “This card was declined”.
Tone is how you say something. A message’s tone should depend on how serious the error is. Warmth is great for less serious errors, but avoid anything too lighthearted for serious errors.
Avoid mechanical language and jargon, opting for plain language at all times. The aim is to make a user feel like you’re there, helping them solve the error.
| {% icon "Clear", "mtn1 mbn1" %} Don’t | {% icon "Checkmark", "mtn1 mbn1" %} Do |
|---|---|
| “The password entered does not match our records. Please re-enter your password.” | “That password’s not right. Try again.” |
At the same time, error messages are not the place to be clever or make jokes. This will only muddy your message and add to your user’s frustration.
| {% icon "Clear", "mtn1 mbn1" %} Don’t | {% icon "Checkmark", "mtn1 mbn1" %} Do |
|---|---|
| “Whoops! Looks like your card was declined. Better ask Mom for another one.” | “This card was declined. Try another payment method.” |
Some errors might need a button or link to fix or dismiss the message.
Always say what happens next. Buttons and links should make sense when read in isolation. Avoid just using things like “OK”. “OK” can be used to dismiss a message or take an action. Be clear to the user what they’re saying “OK” to.
| {% icon "Clear", "mtn1 mbn1" %} Don’t | {% icon "Checkmark", "mtn1 mbn1" %} Do |
|---|---|
Can’t display metricsYou need to restart your data sync. |
Can’t display metricsYou need to restart your data sync. |
Error messages should take the whole user experience into consideration. It should be clear what triggers an error message and what it’s related to.
Toast notifications are best for confirming that an action someone performed is taking place or successfully completed. Since they appear away from the layout and disappear after a few seconds, toast notifications aren’t recommended for error messages.


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Abyssal Saintess Elcadia:
What happened? Don't you think it's best to get rid of them quickly? I won't wait all day, but if you have something else to do right now you may as well get it done and come back.


PECKER
Reviewed by Harvey Karten, Ph.D. Fine Line Features Director: John Waters Writer: John Waters Cast: Edward Furlong, Christina Ricci, Martha Plimpton, Brendan Sexton III, Lili Taylor, Mary Kay Place
Mary Kay Place, an accomplished performer who attended a recent invitational screening of the film "Pecker" (in which she plays the mother of the title character), was stopped on the way out by two enthusiastic women in the audience. "Oh, you're Mary Kay Place, my favorite actress!" one cried out, in a manner befitting a wide-eyed tourist more than a New York cineaste. Do actors really like receiving this notice wherever they go? More likely they're embarrassed. If not, why would they walk the streets with dark shades, false moustaches, and baseball hats with low-slung peaks? You spend years working for public recognition and the rest of your career trying to avoid it. This invasion of Ms. Place's privacy--which probably echoes a hundred-fold each year for actors everywhere--is the price that celebrities pay for their status and ironically enough is one of two central themes of John Waters's latest picture, "Pecker." Waters unfolds a palette of colorful, blue-collar folks in his native Baltimore who gain their fifteen minutes of national fame. Like any who at one time put on a middle-school show and later achieve renown, they like the attention at first. They soon realize that prominence has its price. In "Pecker" each character in turn is deprived of his privacy and suffers a pitiful loss. In showing us this cycle of happy, homespun lives ruined by the limelight, Waters also sends up New York's pseudo-sophisticated set of fashion fixated gallery hoppers, comparing them unfavorably with the working-class people he apparently relishes in the unacclaimed stretches of backwater Baltimore.
Adventurous moviegoers remember John Waters as the creator of outrageous but accessible comedies like "Hairspray" (a fun story featuring Sonny Bono in a nostalgic satire about the a TV teen dance program in 1962 Baltimore); "Polyester," (a more mainstream feature about a housewife driven to he brink by her nightmarish family); and "Serial Mom" (a satire of Marin County, California and its residents' obsession with sexual trends and psychological cant). With "Pecker," Waters is aiming for an audience with just slightly more commercial tastes as he contrasts the earthy, though not quite bland, residents of Baltimore's Hampden neighborhood with the bogus Manhattan sophisticates who, to their credit, keep museums and art galleries flourishing but who cannot resist trendy schlock.
The schlockmeister this time is actually a nice 18-year-old kid, Pecker (Edward Furlong), who compulsively takes photos of the oddballs of the vicinity and who makes no pretense that his glossies are art.
When Pecker's grainy photos come to the attention of a New York art mavin, he is propelled into luminary status and is given a gallery show that attracts the city's fashionable community. The notice placed on him and the members of his photographed circle draw some unwanted attention. Chrissy is visited by a medical social worker who puts the chocoholic on Ritalin, turning her into a zombie-like carrot- lover. Joyce and her husband are written up in the fashionable journals as "culturally challenged." Others in his circle lose their jobs, and that's just the starter.
Essentially, though, Waters appears to focus more on the one-liners than on a story with a robust center, and the film must be judged on the success of these quick gags. Here is one movie, believe-it-or-not, that could profit from one of those obnoxious laugh-tracks popular with TV sitcoms. Each time a pompous New Yorker exposes himself for the fraud he is, he appears to pause as if waiting for the obligatory giggle. Whenever a white-trash Baltimorian shows himself for the hayseed he is, he looks almost embarrassed as if he has come onstage to do a neophytes improvisations rather than a professional's prepared shtick. A good example of a physical gag that falls flat is Matt's secretly piling up the shopping carts of supermarket patrons with inappropriate stuff: a muscular health nut is tossed Preparation H without his knowledge, another man is given a box of Tampax. As they reach the checkout counter simultaneously complaining that they had not selected the items, Matt goes to work on the shelves lifting every product in sight.
 Christina Ricci stands out in this crowd as the acid-tongued overseer of the neighborhood laundromat laying down the law to a clientele of weirdos who do everything from pouring strong dye down the mouth of a washer to using a vibrating machine as a sex doll. The New York world of art cognescenti parody themselves in that city's museums and galleries quite well without needing a filmed lampoon, and the Baltimore working-class community are too close to normal to evoke more than a chuckle.
Rated R. Running time: 87 minutes. (C) Harvey Karten 1998
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