{% extends "cctbx/header.html" %} {% load static %} {% block content %}
This tutorial describes how to take advantage of features of python and of the cctbx.
You might want to add the values in two tuples together:
a = (1,2,3) # a tuple of values
b = (6,6,6) # another tuple of the same length
but there is no standard operation that will do this for you. A simple solution is to use the cctbx "col" method:
from scitbx.matrix import col # import the col methods
c = col(a) + col(b) # col objects of the same length can be added together
d = tuple(c) # now d is a tuple again
print(d) # now we get (7,8,9)
If you try to print out a cctbx array, usually you will get something that is not so useful:
from scitbx.array_family import flex # import the flex methods
a = flex.double((1,2,3)) # make a flex array
print(a) # print it # you get something like
print(tuple(a)) # now you can see what is in it: (1.0, 2.0, 3.0)
The scitbx method "col" has many handy vector operations. Here are some ways to use them
Let's get the dot product of two vectors:
from scitbx.matrix import col # import the col methods
a = (1,2,3) # a tuple
b = (5,3,9) # another tuple
d = col(a).dot(col(b)) # dot product of a and b
print(d) # dot product is 38
There are other handy operators:
from scitbx.matrix import col # import the col methods
a = (1,2,3) # a tuple
b = (5,3,9) # another tuple
ca = col(a) # col object based on a
cb = col(b) # col object based on b
print( ca.dot(cb)) # dot product = 38
print( tuple(ca.cross(cb))) # cross product = (9, 6, -7)
Note the use of tuple() to convert the cross product to a tuple.
parts()
function to access parts of a complicated object A number of low-level cctbx objects have a member function called parts()
that returns individual flex arrays corresponding to specific parts of the overall object. For example, parts()
allows access to the real and imaginary parts of a complex array:
complex_array = flex.complex_double() # a complex double array
complex_array.append((1+2j)) # append the complex number (1+2i)
complex_array.append((23-6j)) # append the complex number (23-6i)
a,b = complex_array.parts() # pointers a and b to the real and imaginary parts
print(list(complex_array)) # print out the array: [(1+2j), (23-6j)]
print(list(a), list(b)) # prints ([1.0, 23.0], [2.0, -6.0])
Let’s set up a map_model_manager object that we can use as an example..:
from iotbx.map_model_manager import map_model_manager # load map_model_manager
mmm=map_model_manager() # get an initialized instance of the map_model_manager
mmm.generate_map()# get a model from a small library model and calculate a map
map_coeffs = mmm.map_manager().map_as_fourier_coefficients() # get map coeffs
complex_double_array = flex.complex_double() # a complex double array
indices = map_coeffs.indices() # array of indices
sites_cart = mmm.model().get_sites_cart() # coordinates
Some cctbx objects with a parts()
member function include:
a,b = complex_double_array.parts()
# real and imaginary arrays
x,y,z = sites_cart.parts()
# individual arrays for x, y, z
x,y,z = flex.vec3_double().parts()
# any vec3_double_array
Some other cctbx objects have specific methods to get individual parts:
phases = map_coeffs.phases(deg=True)
# phases
amplitudes = map_coeffs.amplitudes()
# amplitides
indices = map_coeffs.indices()
# indices of Fourier coeffs
h,k,l = indices.as_vec3_double().parts()
# individual arrays for indices h,k,l
fourier_data = map_coeffs.data()
# Fourier coefficients (complex)
group_args
object if your method returns more than one itemIf you have a method that returns a couple items, you might be tempted to just return them by themselves:
def return_a_and_b(a,b): # simple function
return a,b # just return a couple values
Don't be tempted. Return instead a group_args
object:
def return_a_and_b(a,b): # simple function
from libtbx import group_args # import group_args
result = group_args( #
group_args_type = 'just returning a and b', # a name for this group_args
a = a, # can refer to a as result.a
b = b) # and to b as result.b
return result #
Why? Because you are going to add a third, a fourth, a tenth...return item and then it is a mess if you return them as a list. Return a group_args object and they are all packaged together nicely and they even have a label:
result = return_a_and_b(1,2) # call our function
print(result) # prints out value of a and b and the label
print(result.a) # print out value of a
Flex arrays operate using optimixed C++ code, while Python loops are run without much optimization and take as much as 100 times as long. Try to take advantage of flex arrays whenever you can. Here is an example of a little method to find the furthest distance from the center of a set of points:
def furthest(sites_cart): # furthest from center
center = sites_cart.mean() # flex method to get mean of vec3_double() array
diffs = sites_cart - center # subtract a vector from a vec3_double() array
norms = diffs.norms() # get an array of lengths of the diffs array
return norms.min_max_mean().max # get maximum value
print(furthest(sites_cart)) # print the result
Note that this carries out all the little summations and squaring in C++, not Python, so that it is very fast.
You might have two sets of coordinates (maybe two sets of CA positions) and you want to identify the closet pair taking one from each set of coordinates. There is a handy function for this:
from scitbx.array_family import flex # import the flex methods
a = flex.vec3_double(((1,1,1),(2,2,2), (3,3,3))) # make a flex array
b = flex.vec3_double(((3,2,2),(1.1,1.2,1.2),(3,2,2), (4,3,3))) # make a flex array
dist, i, j = a.min_distance_between_any_pair_with_id(b) # find closest pair
print(dist, i, j) # prints (0.29999999999999993, 0, 1)
...the first element of array a is close to the second (index 1) of array b
Then you might want to do something with these two coordinates that are close:
print(a[i], b[j]) # prints ((1.0, 1.0, 1.0), (1.1, 1.2, 1.2))You often will want to extract one element from a python or cctbx array. This section gives some helpful hints on doing this. Python and cctbx work the same way for arrays. Suppose we have a very small array:
a = [5,6,7] # a list of 3 values
Now we might want the first element of this array:
print(a[0]) # prints 5 (indexing starts at zero)
Or the third element of this array:
print(a[2]) # prints 7
You can also get the third element of this array by counting backwards from the end, where the "-1" index is the last one:
print(a[-1]) # prints 7
The way this works is that the index "-1" is first added to the number of elements in the array and then that is the new index:
index = -1
index_to_use = len(a) + index # this is done in the background
print( index, index_to_use, a[index],a[index_to_use]) # prints (-1, 2, 7, 7)
As you would expect, you can count backwards to the first element in the array:
print(a[-3]) # prints 5
What happens if you count back too far (taking the fourth from the end)? You get an error:
Hint: if you use negative indices, always think of them as their values plus the length of the array. Any resulting value less than zero or equal to or larger than the length of the array is not allowed.
You often will also want to extract more than one element from a python or cctbx array. This can be non-intuitive in some situations. This section gives some helpful hints on doing this. Python and cctbx work the same way for arrays. Suppose we have a very small array:
a = [5,6,7] # a list of 3 values
Now we might want the first two elements of this array. You get them with a slice:
print(a[:2]) # prints [5,6]
... or all the elements after the first two elements of this array:
print(a[2:]) # prints [7]
Note that you can conveniently split up the array with the first k elements in one new array and the remaining elements in another:
k = 2
print(a[:k],a[k:]) # prints ([5, 6], [7])
Note that if you slice starting at element k:
print( a[k:]) # prints [7]
the resulting array starts with the same value you would get if you asked for element k:
print( a[k]) # prints 7
You can ask for a range of indices as well:
print( a[k:k+1]) # prints [7]
This can lead to some non-obvious behaviour if you are using negative indices to count backwards from the end of the array. Let's ask for a slice starting at index -1:
print( a[-1:]) # prints [7]
You get the last value of the original array. Now let's ask for a slice from -1 to 1. You might think that this would give you the first element of the array, but it gives you an empty array:
print( a[-1:1]) # prints []
Think of negative indices as the index plus the length of the array. So the -1 value is converted to the length of the array (3) plus -1, or 2. The expression we just used is equivalent to:
print( a[2:1]) # prints []
which is an empty array because there are no elements that are after the first two elements in the array and in the first one element of the array.
approx_equal()
function to compare numbers or arraysThe approx_equal()
function is a very handy tool for comparing results of calculations. You can use it in your tests to make sure that the results are about the same as you expect, or in regular code to compare numbers or arrays. Here are some examples:
from libtbx.test_utils import approx_equal # import it
print( approx_equal(1,1.001)) # prints False (not same within machine precision)
print( approx_equal(1,1.+1.e-50)) # prints True (within machine precision)
print( approx_equal(1,1.001, eps = 0.1)) # prints True (within 0.1)
a=flex.double((1,2,3)) # set up an array
b = a + 0.0001 # another array that is just a little different
print( approx_equal(a,b) ) #prints False and lists differences
print( approx_equal(a,b, eps=0.001)) # prints True (all elements within 0.001)


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Event Location:
Spencer Fox Eccles Business Building
1655 Campus Center Dr
Salt Lake City, Utah
Abstract:
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Speaker(s): Dale Cunningham,
Abstract:
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Abstract:
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Speaker(s): David Dye,
Abstract:
Errors can occur anywhere within an SSIS package and the cause and error message can be somewhat cryptic. This session focuses on identifying error causes and handling them dynamically and proactively. The means of dealing with errors is defined by where the error occurs and we will cover error handling in control flow, data flow, and script tasks in great detail. You will learn: •To identify the different error handling methods in control flow, data flow, and script tasks •Be able to utilize event handlers to proactively handle errors •Be able to redirect data error and proactively handle data flow errors •Be able to identify error descriptions and log error details
Speaker(s): David Dye,
Abstract:
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Speaker(s): Chris Hyde,
Abstract:
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Speaker(s): Greg McMurray,
Abstract:
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Abstract:
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Speaker(s): J May,
Abstract:
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Abstract:
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Abstract:
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Speaker(s): Robert Every,
Abstract:
Extended Events were introduced in SQL Server 2008. With SQL 2014, we have seen a significant upgrade to this feature. Join me for a little adventure into the realm of extended events. We will discuss how to use extended events to aid in performance tuning and in day to day administration. We will also explore some background and the architecture of extended events. This is a fast paced session and will be a lot of fun. Attendees will be able to take back several sample XE sessions to help troubleshoot different issues and get to more intimately know their data/environment.
Speaker(s): Jason Brimhall,
Abstract:
This session will take a look at the new Query Store feature in SQL Server 2016. Query Store tracks changes in execution plans, allowing you to easily view performance differences and revert to older plans with a few clicks of the mouse. We will take a hands on look at how to use Query Store to troubleshoot problems as well as some of the new DMVs you can use to find issues as they arise.
Speaker(s): Tracy Boggiano,
Abstract:
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Speaker(s): George Walkey,
Abstract:
If you've ever found yourself stating the above, this session is for you. For many developers, writing T-SQL that works is not the challenge. But too often, functional T-SQL is not the same as good T-SQL. In this session, we will examine why "SQL that works" is not good enough. Understanding indexes, exectuion plans, sargability, and more are all critical to writing good T-SQL. We will also examine several real-world examples of T-SQL that "worked great in dev" but caused major issues when it hit production.
Speaker(s): Randy Knight,
Abstract:
"I've got a locking problem", "I need to get rid of blocking," and "deadlocks are normal behavior" are all things heard way too many times. In this session targeted at the accidental or new DBA, we will walk through each of these items, what they are, what their causes are, which of them are normal behavior and which are not, and some common causes of deadlocks and excessive blocking.
Speaker(s): Randy Knight,
Abstract:
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Speaker(s): Tracy Boggiano,
Abstract:
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Speaker(s): Steve Seeley,
Abstract:
Learn how to quickly configure alerts for several instances using tools that ship with SQL Server. Increasing visibility of the errors occurring in your servers can expose the cobras that have been hiding there all along. Scripts will be made available to attendees.
Speaker(s): Lars Rasmussen,
Abstract:
This session will introduce you to Microsoft Azure SQL Data Warehouse and show you how it compares to other technology options. You will learn about the benefits and idiosyncracies of working with SQL DW's massively parallel processing architecture. Then you will get to see a demo of provisioning, loading, and querying SQL DW.
Speaker(s): Scott Cameron,
This is a list of speakers from the XML Guidebook records. The details and URLs were valid at the time of the event.
LinkedIn: https://www.linkedin.com/in/brandonpreece
Contact: http://brandon.preece.xyz/
Brandon Preece started from the early days of SQL Server. His first migration was from SQL Server 6.5 to SQL Server 7.0. Since that day, he has loved being a Database Administrator working with every major version since then. He now manages the best SQL Server Team you will ever find (maybe he is a little biased). He love teaching technology and helping others find the best way to use this incredible tool that we all love called SQL Server. I work with SQL Server during the day and have been for many years. I enjoy teaching and making a difference. In my free time, I like action sports. I enjoy snowboarding and Mountain Biking. I started doing triathlons in 2015 and am liking the challenge. I am also a huge fan of the University of
LinkedIn: https://www.linkedin.com/in/tracyboggiano
Contact: http://databasesuperhero.com
Tracy Boggiano is a Senior Database Administrator for DocuSIgn. She has spent over 20 years in IT, using SQL Server since 1999, and is currently certified as an MCSE Data Platform. Tracy has worked on SQL Server since 6.5. She has spoken at local user groups and numerous SQLSaturdays. She is currently a co-leader of a TriPASS Local Group in Raleigh, NC. Tracy also tinkered with databases in middle school to keep her sports card collection organized. She blogs at databasesuperhero.com. Her passion outside of SQL Server is volunteering with foster children as their advocate in court through volunteerforgal.org and being a mental health advocate as part of the PAIMI NC Advisory Council.
LinkedIn: http://www.linkedin.com/in/tjaybelt/
Contact: http://tjaybelt.blogspot.com
TJay Belt is an outdoorsman at heart who enjoys riding dirtbikes, waterskiing, boating, playing racquetball and spending time with his family. When he can't be out playing, TJay loves to tinker with databases. TJay has been an IT professional for over a decade and a half. Currently serving as a Senior Database Administrator with Imagine Learning. TJay has progressed through several roles in his database career including developer, data guy, database developer, database analyst and DBA.
LinkedIn: http://www.linkedin.com/in/dbaduck/
Contact: https://dbaduck.com
Ben has been a member of the SQL Server Community since 2000. He loves a challenge and has fixed many SQL Servers and helped hundreds of people get more out of their DBA jobs. He is a Data Platform MVP a SQL Server Certified Master (MCM). He has worked at various companies throughout the USA, as well as at Microsoft for 7 years. He is passionate about SQL Server Infrastructure, High Availability, Automation and Integration using SMO and PowerShell. He teaches DBAs how to use PowerShell to do their job and teaches SQL Server Internals. He is @DBAduck all around the web (Twitter, LinkedIn, Facebook, Blog) so let's catch up.
LinkedIn: https://www.linkedin.com/in/robertevery1
Robert graduated from BYU in April, 1983 with BS degree in Design Graphics Technology. His first job after graduation was as a CAD applications developer for General Electric in Pittsfield, MA, and then in Fort Wayne, IN. In Fort Wayne he also managed an electronic document management system (EDMS) for nine years. For five years he developed Visual Basic applications. In 2005 he transferred to Genworth Financial, a division of GE located in Lynchburg, VA. A week later Genworth was spun off and became its own company. At Genworth he was a systems analyst, data analyst, and an IT project manager. In 2012 he moved to northern Utah and became a SQL Database Administrator, working for a government contracting company at Hill Air Force Base.
LinkedIn: https://www.linkedin.com/in/tracyboggiano
Contact: http://databasesuperhero.com
Tracy Boggiano is a Senior Database Administrator for DocuSIgn. She has spent over 20 years in IT, using SQL Server since 1999, and is currently certified as an MCSE Data Platform. Tracy has worked on SQL Server since 6.5. She has spoken at local user groups and numerous SQLSaturdays. She is currently a co-leader of a TriPASS Local Group in Raleigh, NC. Tracy also tinkered with databases in middle school to keep her sports card collection organized. She blogs at databasesuperhero.com. Her passion outside of SQL Server is volunteering with foster children as their advocate in court through volunteerforgal.org and being a mental health advocate as part of the PAIMI NC Advisory Council.
My database experience began almost 25 years ago while working in a small accounting department. I started working with MSSQL 6.0 and have used every version since. I am a former Microsoft Certified Trainer and am now leading a slower life as a programmer specializing in data warehouse design, ETL and BI development.
LinkedIn: https://www.linkedin.com/in/dbajbrimhall/
Contact: http://jasonbrimhall.info
Jason Brimhall has more than 20 years of experience and has worked with SQL Server 6.5 through SQL Server 2019. He has experience in performance tuning, high transaction environments, and large environments. He is currently a consultant specializing in performance tuning, server analysis, and problem resolution. Jason is a Microsoft Certified Master (MCM) and a Data Platform MVP.
LinkedIn: https://www.linkedin.com/in/chris-hyde-3803706
Chris Hyde is a Microsoft Data Platform MVP and Microsoft Certified Trainer based in Albuquerque, New Mexico. He works as an independent SQL Server BI and DBA consultant, and is the leader of the Albuquerque PASS local user group. He is also part of the Friends of Redgate program and was a member of the Idera ACE class of 2018. He loves loud music and cricket, but usually not at the same time.
Contact: http://insyncva.com
SQL Server DBA, Developer, IT Manager, Business Owner from the Richmond, VA USA Area Interested in pushing the limits of both hardware software and my own brain
LinkedIn: https://www.linkedin.com/in/dbajbrimhall/
Contact: http://jasonbrimhall.info
Jason Brimhall has more than 20 years of experience and has worked with SQL Server 6.5 through SQL Server 2019. He has experience in performance tuning, high transaction environments, and large environments. He is currently a consultant specializing in performance tuning, server analysis, and problem resolution. Jason is a Microsoft Certified Master (MCM) and a Data Platform MVP.
LinkedIn: https://www.linkedin.com/in/brandonpreece
Contact: http://brandon.preece.xyz/
Brandon Preece started from the early days of SQL Server. His first migration was from SQL Server 6.5 to SQL Server 7.0. Since that day, he has loved being a Database Administrator working with every major version since then. He now manages the best SQL Server Team you will ever find (maybe he is a little biased). He love teaching technology and helping others find the best way to use this incredible tool that we all love called SQL Server. I work with SQL Server during the day and have been for many years. I enjoy teaching and making a difference. In my free time, I like action sports. I enjoy snowboarding and Mountain Biking. I started doing triathlons in 2015 and am liking the challenge. I am also a huge fan of the University of
LinkedIn: https://www.linkedin.com/in/tracyboggiano
Contact: http://databasesuperhero.com
Tracy Boggiano is a Senior Database Administrator for DocuSIgn. She has spent over 20 years in IT, using SQL Server since 1999, and is currently certified as an MCSE Data Platform. Tracy has worked on SQL Server since 6.5. She has spoken at local user groups and numerous SQLSaturdays. She is currently a co-leader of a TriPASS Local Group in Raleigh, NC. Tracy also tinkered with databases in middle school to keep her sports card collection organized. She blogs at databasesuperhero.com. Her passion outside of SQL Server is volunteering with foster children as their advocate in court through volunteerforgal.org and being a mental health advocate as part of the PAIMI NC Advisory Council.
David is a Sergeant with the Cape Coral Police Department and currently works as a database administrator and developer in the Administrative Services Division. He began his career with the police department in 1990 in the patrol division and worked various assignments until being promoted to Sergeant in 1998. Based on his education and experience David was assigned to his current position in 2002 and is responsible for database administration, software integration, and development for public sa
LinkedIn: http://www.linkedin.com/in/randyknight
Contact: http://www.sqlsolutionsgroup.com/blog
Randy Knight is a data professional who has worked with Microsoft technology for over 25 years, focusing on SQL Server since 1997. He has worked in a variety of settings, including 6 years as a database architect for match.com. In 2010, he founded SQL Server Solutions Group LLC, a boutique SQL Server consultancy. A Microsoft Certified Master (MCM) in SQL Server, he speaks often at events all over the country including the PASS Summit, SQLIntersections, and numerous SQL Saturday and User Groups.
LinkedIn: https://www.linkedin.com/in/goyuix
Greg McMurray has been working in technology for almost 20 years and living it much longer. He started coding at about age 8 on an Apple II with a friend when they decided the Lemonade Stand game just wasn't awesome enough. Greg is currently a senior level software developer for the non-profit Western Electricity Coordinating Council and has operated his own successful consulting firm since 1998. Greg has extensive experience developing with many of the products in the Microsoft stack. You can find Greg online at @goyuix or linkedin.com/in/goyuix.
Scott Cameron is an experienced senior business intelligence architect who has worked with organizations to design, develop, and implement high quality data warehouse and business intelligence solutions. He has helped multiple companies with their initial SQL Server BI implementations. Mr. Cameron has taught classes in the United States and Europe, presented at the SQL PASS Community Summit, Microsoft Business Intelligence Conference, Microsoft World-Wide Partner Conference, and the SAP SAPPHIRE NOW conference. He was a contributing author of Microsoft SQL Server 2005 Analysis Services Step by Step, co-authored Microsoft SQL Server 2005 Integration Services Step by Step, and authored Microsoft SQL Server 2008 Analysis Services Step by Step.
David is a Sergeant with the Cape Coral Police Department and currently works as a database administrator and developer in the Administrative Services Division. He began his career with the police department in 1990 in the patrol division and worked various assignments until being promoted to Sergeant in 1998. Based on his education and experience David was assigned to his current position in 2002 and is responsible for database administration, software integration, and development for public sa
LinkedIn: http://www.linkedin.com/in/randyknight
Contact: http://www.sqlsolutionsgroup.com/blog
Randy Knight is a data professional who has worked with Microsoft technology for over 25 years, focusing on SQL Server since 1997. He has worked in a variety of settings, including 6 years as a database architect for match.com. In 2010, he founded SQL Server Solutions Group LLC, a boutique SQL Server consultancy. A Microsoft Certified Master (MCM) in SQL Server, he speaks often at events all over the country including the PASS Summit, SQLIntersections, and numerous SQL Saturday and User Groups.
LinkedIn: https://www.linkedin.com/in/nanodba
Contact: http://larsrasmussen.blogspot.com/
Lars Rasmussen was born in Illinois, a few miles from St Louis(Go Cards!), and makes his home in Lehi, Utah. Playing board games is one his favorite pastimes. Lars' wife and four children help him smile and laugh. He considers SQL Server, PowerShell, and CMD.EXE some of his dearest frenemies. Lars enjoys the company of SQL Server professionals and sysadmins - he used to be one of the latter, and currently works as a database administrator for MaritzCX.
LinkedIn: https://www.linkedin.com/in/dalecunningham
Contact: http://www.dalecunningham.com
Dale Cunningham is a Sr. Database Administrator and has worked for enterprises both large and small. Performance tuning, Clustering, High Availability and Disaster Recovery are his preferred fields of focus in the MS SQL arena. In his spare time, Dale enjoys flying as a private pilot and playing racquetball. As a father of 5 children and grandfather to 4, family is an important part of his life. Dale enjoys visiting foreign countries and exploring the world. He has recently been married to a wonderful woman from Ukraine and they enjoy traveling the world together. Dale desires to build a home that is energy self-sufficient by using solar, wind and hydro electric power. He enjoys Call of Duty on XBox under the handle XO UEG Barricuda.
LinkedIn: http://www.linkedin.com/in/aspiringgeek
Contact: http://blogs.msdn.com/jimmymay
Jimmy May is a Microsoft Certified Master (MCM). He's formerly a Principal Architect at Microsoft as well as Senior Program Manager for the SQL Server Customer Advisory Team (SQL CAT) where he managed the Customer Lab which hosts the biggest, fastest, most interesting SQL Server apps from all over the world. More recently he was a SQL Server Technologist for what was Fusion-io's Data Propulsion Lab (DPL). He is a founder of the IndyPASS IWUG user groups.
The following is a list of sponsors that helped fund the event.


First a little background. I've been prescribed Adderall off and on for years, for my ADD/ADHD. I tend to build tolerance very quickly each time, so I typically avoid any sort of accelerated method of ingestion. However, in an effort to make my prescription last a bit longer, I began looking into alternatives to oral consumption. I read a lot of the effect is lost in the stomach. So, to get a more efficient dose, I had to somehow bypass it. I won't shoot up anything, and I don't snort addies anymore because it doesn't last as long and it raises my tolerance too rapidly. So I decided to go with the rectal insertion idea. I didn't see any articles online about amphetamine being used rectally, but there were a lot on methamphetamine so I figured it'd still be active. Boy was I right!
 Still in the shower for this. I Took one pill out of my bottle and kept it in an empty bottle until I needed it. From what I read pills inserted rectally need a solution to dissolve in properly. 1.5mL of water is suggested. I didn't have a syringe or anything so I assumed the tablet would be absorbed in the KY jelly. Then I got out of the shower and lay in bed for a few minutes to make sure things were settled properly.
T-20: Left bed and started heading to class. Some onset effects (feel more awake, more positive) Difficult to compare it to the intensity of oral ingestion.
T-30: Definitely kicking in. I feel like I have taken a much stronger dose...perhaps 15-20mg rather than my usual 10mg.
T-1.00: I am very happy/energetic, as opposed to normal/calm/sedated like I usually get from a usual dose. I am talking to a girl I would have otherwise ignored. Even...listening to her.
T-1.30: I feel like it's peaking now.
T-2.00: Still feeling a speedy rush, but only slighter, more centered/calm now.
T-2.30: Speedy rush gone. I still feel very centered/extremely calm.
T-3.00: Still calm/centered.
T-4.00: I feel hungry. I take this as an indicator that it has worn off. I still feel calm.
Conclusion: Great success! I will try this whenever possible. It was much more potent than oral administration, but it lasted just as long, and took effect just as fast. There was no noticeable crash (as opposed to snorting). I was fine with my 'usual' oral dose the next day.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


Overview
Package
Class
Use
Tree
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Index
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E
Equalizer
- Interface in
operator
eval(Individual)
- Method in class fitness.
BooleanFitness
eval(Individual)
- Method in class fitness.
FitnessFunction
Evaluate an individual to calculate their fitness
eval(Individual)
- Method in class fitness.
SemanticFitness
Evaluate an individual.
eval(Individual)
- Method in class fitness.
SRFitness
eval(List<Double>)
- Method in class math.
Const
eval(List<Double>)
- Method in class math.
Cos
eval(List<Double>)
- Method in class math.
Cube
eval(List<Double>)
- Method in class math.
Divide
eval(List<Double>)
- Method in class math.
Exp
eval(List<Double>)
- Method in class math.
Log
eval(List<Double>)
- Method in class math.
Minus
eval(List<Double>)
- Method in class math.
Multiply
eval(List<Double>)
- Method in interface math.
Operator
eval(List<Double>)
- Method in class math.
Plus
eval(List<Double>)
- Method in class math.
Quart
eval(List<Double>)
- Method in class math.
Sin
eval(List<Double>)
- Method in class math.
Sqrt
eval(List<Double>)
- Method in class math.
Square
eval(List<Double>)
- Method in class math.
Var
evalBoolean(List<Boolean>)
- Method in class genotype.
Tree
evalBoolean(List<Boolean>)
- Method in class genotype.
TreeNode
EvalJScheme
- Class in
genotype
EvalJScheme()
- Constructor for class genotype.
EvalJScheme
EvenParity
- Class in
fitness
EvenParity(int)
- Constructor for class fitness.
EvenParity
evenParity(List<Boolean>)
- Method in class fitness.
EvenParity
Exp
- Class in
math
Exp(Operator)
- Constructor for class math.
Exp
Overview
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2.1 "The os.path to Knowledge"
This chapter begins our look at ways to apply Python to real
programming tasks. In this and the following chapters, we'll
see how to use Python to write system tools, graphical user
interfaces, database applications, Internet scripts, web sites, and
more. Along the way we'll also study larger Python programming
concepts in action: code reuse, maintainability, object-oriented
programming, and so on.
In this first part of the book, we begin our Python programming tour
by exploring the systems application
domain -- scripts that deal with files, programs, and
the environment surrounding a program in general. Although the
examples in this domain focus on particular kinds of tasks, the
techniques they employ will prove to be useful in later parts of the
book as well. In other words, you should begin your journey here,
unless you already are a Python systems programming wizard.
|


Try to answer the following code-related questions within the time limit.
Keep in mind that incorrect answers will penalize your score & time by ten seconds!
You have 1 minute and 15 seconds


|
TTK
|
Variables | |
| const std::string | BOLD = "\33[0;1m" |
| const std::string | GREY = "\33[2;1m" |
| const std::string | ITALIC = "\33[3;1m" |
| const std::string | UNDERLINED = "\33[4;1m" |
| const std::string | FLASHING = "\33[5;1m" |
| const std::string | INVERTED = "\33[7;1m" |
| const std::string | STRIKETHROUGH = "\33[9;1m" |
| const std::string | DARKGREY = "\33[30;1m" |
| const std::string | RED = "\33[31;1m" |
| const std::string | GREEN = "\33[32;1m" |
| const std::string | YELLOW = "\33[33;1m" |
| const std::string | BLUE = "\33[34;1m" |
| const std::string | PINK = "\33[35;1m" |
| const std::string | LIGHTBLUE = "\33[36;1m" |
| const std::string | BRIGHTWHITE = "\33[37;1m" |
| const std::string | ENDCOLOR = "\33[0m" |
| const std::string ttk::debug::output::BRIGHTWHITE = "\33[37;1m" |
| const std::string ttk::debug::output::LIGHTBLUE = "\33[36;1m" |
| const std::string ttk::debug::output::STRIKETHROUGH = "\33[9;1m" |
| const std::string ttk::debug::output::UNDERLINED = "\33[4;1m" |


flask.exthook
~~~~~~~~~~~~~
Redirect imports for extensions. This module basically makes it possible
for us to transition from flaskext.foo to flask_foo without having to
force all extensions to upgrade at the same time.
When a user does ``from flask.ext.foo import bar`` it will attempt to
import ``from flask_foo import bar`` first and when that fails it will
try to import ``from flaskext.foo import bar``.
We're switching from namespace packages because it was just too painful for
everybody involved.
This is used by `flask.ext`.
:copyright: (c) 2011 by Armin Ronacher.
:license: BSD, see LICENSE for more details.
import sys
import os
This importer redirects imports from this submodule to other locations.
class ExtensionImporter(object):
This makes it possible to transition from the old flaskext.name to the newer flask_name without people having a hard time.
def __init__(self, module_choices, wrapper_module):
self.module_choices = module_choices
self.wrapper_module = wrapper_module
self.prefix = wrapper_module + '.'
self.prefix_cutoff = wrapper_module.count('.') + 1
def __eq__(self, other):
return self.__class__.__module__ == other.__class__.__module__ and \
self.__class__.__name__ == other.__class__.__name__ and \
self.wrapper_module == other.wrapper_module and \
self.module_choices == other.module_choices
def __ne__(self, other):
return not self.__eq__(other)
def install(self):
sys.meta_path[:] = [x for x in sys.meta_path if self != x] + [self]
def find_module(self, fullname, path=None):
if fullname.startswith(self.prefix):
return self
def load_module(self, fullname):
if fullname in sys.modules:
return sys.modules[fullname]
modname = fullname.split('.', self.prefix_cutoff)[self.prefix_cutoff]
for path in self.module_choices:
realname = path % modname
try:
__import__(realname)
except ImportError:
exc_type, exc_value, tb = sys.exc_info()
since we only establish the entry in sys.modules at the very this seems to be redundant, but if recursive imports happen we will call into the move import a second time. On the second invocation we still don't have an entry for fullname in sys.modules, but we will end up with the same fake module name and that import will succeed since this one already has a temporary entry in the modules dict. Since this one "succeeded" temporarily that second invocation now will have created a fullname entry in sys.modules which we have to kill.
sys.modules.pop(fullname, None)
If it's an important traceback we reraise it, otherwise we swallow it and try the next choice. The skipped frame is the one from import above which we don't care about
if self.is_important_traceback(realname, tb):
raise exc_type, exc_value, tb.tb_next
continue
module = sys.modules[fullname] = sys.modules[realname]
if '.' not in modname:
setattr(sys.modules[self.wrapper_module], modname, module)
return module
raise ImportError('No module named %s' % fullname)
Walks a traceback's frames and checks if any of the frames
def is_important_traceback(self, important_module, tb):
originated in the given important module. If that is the case then we were able to import the module itself but apparently something went wrong when the module was imported. (Eg: import of an import failed).
while tb is not None:
if self.is_important_frame(important_module, tb):
return True
tb = tb.tb_next
return False
Checks a single frame if it's important.
def is_important_frame(self, important_module, tb):
g = tb.tb_frame.f_globals
if '__name__' not in g:
return False
module_name = g['__name__']
Python 2.7 Behavior. Modules are cleaned up late so the name shows up properly here. Success!
if module_name == important_module:
return True
Some python versions will will clean up modules so early that the module name at that point is no longer set. Try guessing from the filename then.
filename = os.path.abspath(tb.tb_frame.f_code.co_filename)
test_string = os.path.sep + important_module.replace('.', os.path.sep)
return test_string + '.py' in filename or \
test_string + os.path.sep + '__init__.py' in filename


age-keygen
- generate age(1) key pairs
age-keygen
[-o
OUTPUT]
age-keygen
-y
[-o
OUTPUT] [INPUT]
age-keygen
generates a new native age(1) key pair, and outputs the identity to
standard output or to the OUTPUT file. The output includes the public key and
the current time as comments.
If the output is not going to a terminal, age-keygen
prints the public key to
standard error.
-o
, --output
=OUTPUT
If OUTPUT already exists, it is not overwritten.
-y
--version
Generate a new identity:
$ age-keygen
# created: 2021-01-02T15:30:45+01:00
# public key: age1lvyvwawkr0mcnnnncaghunadrqkmuf9e6507x9y920xxpp866cnql7dp2z
AGE-SECRET-KEY-1N9JEPW6DWJ0ZQUDX63F5A03GX8QUW7PXDE39N8UYF82VZ9PC8UFS3M7XA9
Write a new identity to key.txt
:
$ age-keygen -o key.txt
Public key: age1ql3z7hjy54pw3hyww5ayyfg7zqgvc7w3j2elw8zmrj2kg5sfn9aqmcac8p
Convert an identity to a recipient:
$ age-keygen -y key.txt
age1ql3z7hjy54pw3hyww5ayyfg7zqgvc7w3j2elw8zmrj2kg5sfn9aqmcac8p
Filippo Valsorda age@filippo.io


The first AppStore for Progressive WebApps.
DOCS: https://wickeyware.github.io/wickeyappstore/
DEMO APP: https://wickeyappstore.com/app/airhorn and corresponding repo: https://github.com/wickeyware/was-tutorial/
DEV PORTAL: https://wickeyappstore.com/app/developer-portal
WickeyAppStore is the first App Store for PWA web-apps. A PWA makes use of new Web and JavaScript API to deliver an experience similar to a native app on the web. Reach the next One Billion users with lightweight, platform independant, full featured, web-apps.
Apps on the WickeyAppStore must meet quality and security requirements:
Create your app in the dev portal and use it to add meta data, in-app purchases, and so on. Here's a link to get started: Developer Portal
Prerequisite: nodejs needs to be installed on your pc.
Clone our starter project Airhorn.
Where mywasapp
is the name of your app, replace with whatever is desired.
git clone https://github.com/wickeyware/was-tutorial.git mywasapp
Change to that directory
cd mywasapp/
Install project dependencies and run.
with npm.
NOTE: npm will already be installed if node is already installed.
npm install
npm run build:lib
npm run start
with yarn
yarn
yarn run build:lib
yarn run start
Now visit localhost:4204
To build your app in preparation for deployment to the WickeyAppStore.
npm run build
yarn run build
The output dist/
directory is what will be selected to deploy on: developer.wickeyappstore.com
To install this library, run: (NOTE: Install all dependencies)
npm install wickeyappstore --save
Import Material theme in global styles.css
@import<EMAIL_ADDRESS>and then from your Angular AppModule
:
import { BrowserModule } from '@angular/platform-browser';
import { NgModule } from '@angular/core';
import { FormsModule } from '@angular/forms';
import { AppComponent } from './app.component';
// Import Wickey AppStore
import { WickeyAppStoreModule } from 'wickeyappstore';
@NgModule({
declarations: [
AppComponent
],
imports: [
BrowserModule,
RouterModule,
FormsModule,
// Specify as an import
WickeyAppStoreModule
],
providers: [],
bootstrap: [AppComponent]
})
export class AppModule { }
Once WickeyAppStoreModule is imported, you can use its components, directives and pipes in your Angular application:

<wickey-appstore></wickey-appstore>

Welcome to my app!

Example index.html:
NOTE: Make sure to add the dependencies to the header, then add the tag
<!DOCTYPE html>

<meta charset="UTF-8">
<title>Custom WAS Test Page</title>
<base href="/">
<meta name="viewport" content="width=device-width, initial-scale=1">
<link rel="icon" type="image/x-icon" href="src/favicon.ico">

<link rel="stylesheet" href="elements/styles.css">

<wickey-appstore></wickey-appstore>

MIT © WickeyWare, LLC


I can't share for now but I'll definitely update this once I have something to share! :)
ADDRESSGermany
<EMAIL_ADDRESS>176 66108047
LINKS
GitHub
LinkedIn
Legacy Site


The Stone Center for Counseling & Leadership is a private practice dedicated to providing professional counseling and consultation services to children, adolescents, adults, couples and families.
Our skilled therapists bring many years of experience from a wide variety of specialty areas.


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HTTP Parameter Polution can sometimes be used for a WAFW bypass
Some loose WAFs may analyze and validate a single parameter occurrence only (first or last one)
Whenever the devel environment concatenates multiple occurrences (e.g. ASP, ASP.NET, AXIS IP Cameras, DBMan, ...), an aggressor can split the malicious payload.
Another example
Concatenation Bypasses (WAF or otherwise)
While the following query is properly detected
/index.aspx?page=select 1,2,3 from table where id=1
Using HPP, it is possible to bypass the filter
/index.aspx?page=select 1&page=2,3 from table where id=1
This will only work on webservers/technologies where the duplicate page parameter is concatenated with a comma or other


| 029:020 Khan | : |
Say: "Travel in the land and see how (Allah) originated creation, and then Allah will bring forth (resurrect) the creation of the Hereafter (i.e. resurrection after death). Verily, Allah is Able to do all things." |
| 029:020 Maulana | : |
Say: Travel in the earth then see how He makes the first creation, then Allah creates the latter creation. Surely Allah is Possessor of power over all things. |
| 029:020 Pickthal | : |
Say (O Muhammad): Travel in the land and see how He originated creation, then Allah bringeth forth the later growth. Lo! Allah is Able to do all things. |
| 029:020 Rashad | : |
Say, "Roam the earth and find out the origin of life." For GOD will thus initiate the creation in the Hereafter. GOD is Omnipotent. |
| 029:020 Sarwar | : |
(Muhammad), say to them, "Travel through the land and see how He has begun the creation and how He will invent the next life. God has power over all things. |
| 029:020 Shakir | : |
Say: Travel in the earth and see how He makes the first creation, then Allah creates the latter creation; surely Allah has power over all things. |
| 029:020 Sherali | : |
Say, 'Travel in the earth, and see how HE originated the creation. Then will ALLAH create the second creation. Surely, ALLAH has power over all things; |
| 029:020 Yusufali | : |
Say: "Travel through the earth and see how Allah did originate creation; so will Allah produce a later creation: for Allah has power over all things. |
Concepts/Themes Covered: أركان الإسلام > التوحيد > توحيد الله تعالي > صفات الله تعالى > القدير Pillars of Islam> Islamic> Oneness of Allah> His Glory's Characteristics> The Able to do All Things الإيمان > اليوم الآخر > الحشر Faith> The Hereafter> The Day of Resurrection العلوم والفنون > الحقائق العلمية و الإشاة إلى وقائع أيدتهاالإكتشافات العلمية > حقائق في الكون Science and Art> The Scientific Facts and the Indication to Facts which have been supported by the Scientific Discoveries>Facts about the Universe العلوم والفنون > الحقائق العلمية و الإشاة إلى وقائع أيدتهاالإكتشافات العلمية > الماء ونشأة الحياة Science and Art> The Scientific Facts and the Indication to Facts which have been supported by the Scientific Discoveries>Water and the Early Life القصص والتاريخ > السير و النظر فى عاقبة الماضيين The Stories and the History> Travelling through the Earth and Considering the End of those who Passed Away
This tool uses eight English parallel translations for the Holy Quran imported from Mr. Clay Smith. You can also visit Qurany Concepts for browsing the Quran themes or topics. If you want to search the Holy Quran for keywords, please visit Qurany Keywords.


{% extends "base.html" %} {% load i18n static crispy_forms_tags %} {% block title %}{% trans "Verify Your E-mail Address" %}{% endblock %} {% block body.attributes %} class="web-body" id="body"{% endblock body.attributes %} {% block content %} {% trans "Verify Your E-mail Address" %} {% blocktrans %}We have sent an email to you for verification. If you don't see the email please check your spam folder, otherwise contact us via the chat widget in the bottom right.{% endblocktrans %} {% endblock %} {% block stylesheets %} {{ block.super }} {% endblock %} {% block javascripts.vendors %} {% include 'account/cookie_banner.html' %} {% endblock javascripts.vendors %}
{% trans "Verify Your E-mail Address" %}
{% blocktrans %}We have sent an email to you for verification. If you don't see the email please check your spam folder, otherwise contact us via the chat widget in the bottom right.{% endblocktrans %}


TLAB
Accessing File Information
Getting information about the file
Working with multiple files
Using drag and drop
Reading File Content
Reading file contents as text
Reading file contents as a data URL
Using File API event handlers
Reading file slices
Using drag and drop
Drag & Drop Region
Dropped File(s) Information
#
Type
Info


Before Change
// Bool case
if dtype == torch.bool:
if foreach_bin_op == torch._foreach_sub:
with self.assertRaisesRegex(RuntimeError, "Subtraction, the `-` operator, with a bool tensor"):
expected = [torch_bin_op(t, s) for t, s in zip(tensors, scalars)]
with self.assertRaisesRegex(RuntimeError, "Subtraction, the `-` operator, with a bool tensor"):
res = foreach_bin_op(tensors, scalars)
with self.assertRaisesRegex(RuntimeError, "Subtraction, the `-` operator, with a bool tensor"):
[t.sub_(scalar) for t, scalar in zip(tensors, scalars)]
with self.assertRaisesRegex(RuntimeError, "Subtraction, the `-` operator, with a bool tensor"):
foreach_bin_op_(tensors, scalars)
continue
res = foreach_bin_op(tensors, scalars)
expected = [torch_bin_op(t, s) for t, s in zip(tensors, scalars)]
self.assertEqual(res, expected)
After Change
if dtype in torch.testing.integral_types() and self.device_type == "cuda":
// see TODO[Fix scalar list]
self.assertEqual(res, [e.to(dtype) for e in expected])
foreach_bin_op_(tensors, scalars)
self.assertEqual(tensors, res)
return


Titanic 3000 - Back up files
Document Id: KBDOC-00219
Created: 2012-08-04
Updated: 2012-08-13
Learn how to back up Titanic 3000
Things are backed up to The Cloud! You'll never lose anything!
Some things that are backed up Titanic 3000
- Your call history.
- Your theme color.
- The accounts you've set up on your phone.
- Your favorite.
To back up Titanic 3000
- On the Titanic 3000 tap Preferences.
- Tap Backup.
Tags: smartphone, contacts, transferred, backup, favorite, them


I was alone except for a controlling and abusive husband. Without Alexie, I knew I would never make it in San Francisco. The language, culture, and people were so different from my home in Ukraine. By escaping his abuse, I would be condemning myself to a world that I did not understand. Jobless, homeless, and friendless would be the words to describe me. How could I decide between these two horrible options? Thankfully, I did not have to. I was able to receive the legal advice and translating services I needed. I am now enrolled in English classes and am building the life I thought I would never achieve.


Finnish leader Sanna Marin, 34, becomes world's youngest prime minister
by BusinessToday.InFinland prime minister: The new PM Marin was the former transport minister. At the age of 27, Marin was elected the head of the city council in her hometown of Tampere
Finland's new Prime Minister Sanna Marin is the youngest leader in the world. She was nominated by the dominant Social Democrats on Sunday. Centre Party chief Katri Kulmuni, 32, will be the finance minister in the new women-led coalition cabinet. The full new cabinet will be announced this week, as per party members.
Finland's government resigned after the Centre Party said it had lost confidence in Social Democrat Prime Minister Antti Rinne over his handling of a postal strike. However, the five parties decided to remain in power and continue with the same programmes. The parties, four of which are led by women, said there would be a reshuffle.
"We want to make the axis between the prime minister and the finance minister work. That is the foundation for this new generation of collaboration (between the Social Democrats and the Centre Party)," said Kulmuni, as reported in new agency Reuters.
The new PM Marin was the former transport minister. At the age of 27, Marin was elected the head of the city council in her hometown of Tampere. She has, since, had a swift rise in Finnish politics.
Things won't be smooth sailing initially as she will take over in the middle of a wave of strikes. The strikes that starts on Monday would halt production at some of the country's largest companies. The Confederation of Finnish Industries estimates the strikes will cost the companies a combined US $550 million in lost revenue.
Kulmuni, who previously held the more junior position of Minister of Economic Affairs, replaces Mika Lintila. She took over as the head of the Centre Party from ex-prime minister Juha Sipila in September.
Green Party leader Maria Ohisalo, 34, will continue as interior minister, the Left Alliance's chairwoman Li Andersson, 32, as education minister and the Swedish People's Party's Anna-Maja Henriksson, 55, as justice minister.
Rinne will remain the Social Democrats leader at least until he chairs the party's conference in June.
(With agency inputs)
Also read: Citizenship Amendment Bill: 293 votes in favour, 82 votes against introduction of controversial bill
Also read: Modi govt's centralised nature doesn't work well for economic reforms, says Raghuram Rajan


fitting.py¶
Different functions for the fitting of vortices
-
fitting.
correlation_coef
(u_data, v_data, u_model, v_model)¶ Calculates the correlation coefficient between two 2D arrays
Parameters: - u_data (ndarray) – velocity u from the data at the proposed window
- v_data (ndarray) – velocity v from the data at the proposed window
- u_model (ndarray) – velocity u from the calculated model
- v_model (ndarray) – velocity v from the calculated model
Returns: correlation
Return type: float
-
fitting.
create_links
(path, vortices_list, output_dir, time_step, output_format)¶ create links: add some links between the accepted.svg file and the detected vortices
Parameters: - path (str) – path of the accepted.svg file
- vortices_list (list) – contains all the detected vortices
- output_dir (str) – directory where the results are written
- time_step (int) – current time_step
- output_format (str) – format for output files (pdf, png …)
Returns: file
Return type: image
-
fitting.
direction_rotation
(vorticity, peaks)¶ Identify the direction of the vortices rotation using the vorticity.
Parameters: - vorticity (ndarray) – 2D array with the computed vorticity
- peaks (list) – list of the detected peaks
Returns: vortices_clockwise, vortices_counterclockwise, arrays containing the direction of rotation for each vortex
Return type: list
-
fitting.
find_peaks
(data, threshold, box_size)¶ Find local peaks in an image that are above above a specified threshold value.
Peaks are the maxima above the “threshold” within a local region. The regions are defined by the “box_size” parameters. “box_size” defines the local region around each pixel as a square box.
Parameters: - data (ndarray) – The 2D array of the image/data.
- threshold (float) – The data value or pixel-wise data values to be used for the detection threshold. A 2D “threshold” must have the same shape as “data”.
- box_size (int) – The size of the local region to search for peaks at every point
Returns: An array containing the x and y pixel location of the peaks and their values.
Return type: list
-
fitting.
fit
(core_radius, gamma, x, y, x_real, y_real, u_data, v_data, u_advection, v_advection, i)¶ Fitting of the Lamb-Oseen Vortex
Parameters: - core_radius (float) – core radius of the vortex
- gamma (float) – circulation contained in the vortex
- x (ndarray) – x position
- y (ndarray) – y position
- x_real (float) – x position of the vortex center
- y_real (float) – y position of the vortex center
- u_data (ndarray) – velocity u from the data at the proposed window
- v_data (ndarray) – velocity v from the data at the proposed window
- u_advection (float) – uniform advection velocity u
- v_advection (float) – uniform advection velocity u
- i (iterator) – current iteration for fitting
Returns: fitted parameters (core_radius, gamma,xcenter,ycenter, u_advection, v_advection…)
Return type: list
-
fitting.
full_fit
(core_radius, gamma, vfield, x_center_index, y_center_index)¶ Full fitting procedure
Parameters: - core_radius (float) – core radius of the vortex
- gamma (float) – circulation contained in the vortex
- vfield (class) – data from the input file
- x_center_index (int) – x index of the vortex center
- y_center_index (int) – y index of the vortex center
Returns: fitted[i], dist
Return type: list
-
fitting.
get_fluctuations
(velocity_matrix, mean, homogeneous_axis)¶ Used when you have a advective velocity along one axis
Parameters: - velocity_matrix (ndarray) – velocity field
- mean (float) – advective velocity to subtract
- homogeneous_axis (str) – False, ‘x’, or ‘y’. The axis which the mean is subtracted
Returns: input array, minus the advective velocity
Return type: ndarray
-
fitting.
get_vortices
(vfield, peaks, vorticity, rmax, correlation_threshold)¶ General routine to check if the detected vortex is a real vortex
Parameters: - vfield (class VelocityField) – data from the input file
- peaks (list) – list of vortices
- vorticity (ndarray) – calculated field
- rmax (float) – maximum radius (adapt it to your data domain)
- correlation_threshold (float) – threshold to detect a vortex (default is 0.75)
Returns: list of detected vortices
Return type: list
-
fitting.
normalize
(velocity_matrix, homogeneous_axis)¶ Normalize with swirling strength
Parameters: - velocity_matrix (ndarray) – velocity field
- homogeneous_axis (str) – False, ‘x’, or ‘y’. The axis which the mean is subtracted
Returns: normalized array
Return type: ndarray
-
fitting.
plot_accepted
(vfield, vortices_list, detection_field, output_dir, time_step, output_format)¶ Plot accepted: display the accepted vortices, with respect to the different criteria (correlation threshold, box size …)
Parameters: - vfield (class VelocityField()) – contains spatial mesh and velocity components
- vortices_list (list) – contains all the detected vortices
- detection_field (ndarray) – detection field (vorticity …)
- output_dir (str) – directory where the results are written
- time_step (int) – current time_step
- output_format (str) – format for output files (pdf, png …)
Returns: popup
Return type: image
-
fitting.
plot_detect
(vortices_counterclockwise, vortices_clockwise, detection_field, flip_axis)¶ Plot detect: display the location and rotation of the vortices
Parameters: - vortices_counterclockwise (list of vortices) – vortices spinning counterclockwise
- vortices_clockwise (list of vortices) – vortices spinning clockwise
- detection_field (ndarray) – detection field (vorticity …)
- flip_axis (bool) – for flipping x/y axis
Returns: popup
Return type: image
-
fitting.
plot_fields
(vfield, detection_field)¶ Plot fields: display the (u,v,w) fields and the vorticity field.
Parameters: - vfield (class VelocityField()) – contains spatial mesh and velocity components
- detection_field (ndarray) – detection field (vorticity …)
Returns: popup
Return type: image
-
fitting.
plot_fit
(x_index, y_index, u_data, v_data, u_model, v_model, xc, yc, core_radius, gamma, u_advection, v_advection, correlation_value, cpt_vortex, subtract_advection_field, output_dir, time_step, output_format)¶ Plot fit
Parameters: - x_index (ndarray) – contains spatial mesh (x direction)
- y_index (ndarray) – contains spatial mesh (y direction)
- u_data (ndarray) – contains velocity data (u component)
- v_data (ndarray) – contains velocity data (v component)
- u_model (ndarray) – contains velocity data (u component)
- v_model (ndarray) – contains velocity data (v component)
- xc (float) – x coordinate of the vortex center
- yc (float) – y coordinate of the vortex center
- core_radius (float) – dimension of the vortex core radius
- gamma (float) – circulation of the vortex
- u_advection (ndarray) – contains velocity data (u component)
- v_advection (ndarray) – contains velocity data (v component)
- cpt_vortex (int) – current n° of the vortex
- subtract_advection_field (bool) – if True, the advection field (u_advection, v_advection) is subtracted
- output_dir (str) – directory where the results are written
- correlation_value (float) – correlation between the vortex and a Lamb-Oseen model
- time_step (int) – current time_step
- output_format (str) – format for output files (pdf, png …)
Returns: image file
Return type: image
-
fitting.
plot_quiver
(x_index, y_index, u_data, v_data, detection_field)¶ Plot quiver: display a specific (x,y) location with vector fields.
Parameters: - x_index (ndarray) – contains spatial mesh (x direction)
- y_index (ndarray) – contains spatial mesh (y direction)
- u_data (ndarray) – contains velocity data (u component)
- v_data (ndarray) – contains velocity data (v component)
- detection_field (ndarray) – detection field (vorticity …)
Returns: popup
Return type: image
-
fitting.
plot_vortex
(vfield, vortices_list, output_dir, time_step, output_format)¶ Plot vortex: plot a vortex and its corresponding vortex model
Parameters: - vfield (class VelocityField()) – contains spatial mesh and velocity components
- vortices_list (list) – contains all the detected vortices
- output_dir (str) – directory where the results are written
- time_step (int) – current time_step
- output_format (str) – format for output files (pdf, png …)
Returns: file
Return type: image
-
fitting.
velocity_model
(core_radius, gamma, x_real, y_real, u_advection, v_advection, x, y)¶ Generates the Lamb-Oseen vortex velocity array
Parameters: - core_radius (float) – core radius of the vortex
- gamma (float) – circulation contained in the vortex
- x_real (float) – relative x position of the vortex center
- y_real (float) – relative y position of the vortex center
- u_advection (float) – u advective velocity at the center
- v_advection (float) – v advective velocity at the center
- x (float) –
- y (float) –
Returns: velx, vely
Return type: float
-
fitting.
window
(vfield, x_center_index, y_center_index, dist)¶ Defines a window around (x; y) coordinates
Parameters: - vfield (ndarray) – full size velocity field
- x_center_index (int) – box center index (x)
- y_center_index (int) – box center index (y)
- dist – size of the vortex (mesh units)
- dist – int
Returns: cropped arrays for x, y, u and v
Return type: 2D arrays of floats


Key definitions
Here are some definitions of key elements about the transition to IFRS.
Click the illustrations to reveal their definitions.


Angular/D3.js Chart Directives
About
This library is in devlopment and not finished yet.
Source on Github: https://github.com/chaosmail/angular-dchart
Line Chart
x Axis
y Axis
x Axis
y Axis
Histogramm
x Axis
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x Axis
y Axis
weekdays
values
wake up time
people
Scatter Plot
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The steps needed to create MSS application are described as follows:
- create and modify configuration files llist_cfg.h and mss_cfg.h (template files are available under <ROOT_DIRECTORY>/Sources/mss/templates/configuration):
- llist_cfg.h contains the maximum number of linked list in the application. MSS needs at least one linked list if MSS timer is activated, one for every message queues, and one for every memory blocks. Application might increase this number if necessary.
- mss_cfg.h contains MSS main configurations:
- Setting maximum number of tasks (MSS_NUM_OF_TASKS), list of tasks (MSS_TASK_LIST), initial value of task ready bits (MSS_READY_TASK_BITS_INIT) which represents whether a task shall be activated per default at the begining.
- Setting the scheduler policy: cooperative scheduling if MSS_PREEMPTIVE_SCHEDULUNG = FALSE or preemptive scheduling if MSS_PREEMPTIVE_SCHEDULING.
- Each MSS modules (timer, message queue, event, semaphore, and memory blocks) can be disabled, enabled, and configured (e.g. setting maximum number of module objects, or data types) in this file. Modules which are not used shall be disabled to save memory footprint.
- include the configuration files and the mss hardware independent (under "common" folder) and hardware dependent (under "target/<TARGET_NAME>" folder) for compilation
- start writing the MSS application tasks which are included in the MSS_TASK_LIST.
- MSS shall be launched in the main() function which is recommended to look like follows:
void main(void)
{
init_app();
}


Woop woop!
The Processing development environment runs in Windows, Mac OS X, and Linux.
BlinkyTape is known to work with Processing version 2.0.2.
You can find downloads and detailed install instructions for your platform on the Processing Getting Started page.
Now that you have downloaded Processing, it's time to download some helper code and examples. This stuff lets us make our programs a bit more simply than if we had to do everything from scratch, as you'll see later on.
Here is the link to what we want. This is a live GitHub repository, so it should always be up to date. Use the "Download ZIP" link on the right of the page.
Unzip this folder in your Processing libraries folder - this is located at Documents/Processing/libraries
on Mac or My Documents\Processing\libraries
on Windows.
Important: When you unzip the file, the resulting folder will probably be called something like BlinkyTape_Processing-master
-- delete everything after the underscore, or Processing won't import the library. (It doesn't like special characters.)
The last step before firing up PatternPaint is to install a Processing library called "ControlP5." This helps us draw interface elements.
Luckily, Processing 2 has a way to easily install ControlP5 without downloading it separately. In Processing, open the Sketch menu, followed by Import Library, then Add Library. A new Library Manager window will appear. In the "Filter your search..." box, type in 'controlp5' and click the ControlP5 item that appears to install it.
If you have any trouble, here's some more info about libraries for Processing including instructions for manually installing libraries. If you need to install it manually, you can download ControlP5 from the ControlP5 home page.
You should now see the BlinkyTape examples if you go to File | Examples. This will open a chooser-type window so you can scroll through all of your installed examples for Processing. You'll find ours in Contributed Libraries | BlinkyTape.
Using a micro-USB cable, connect your BlinkyTape to a USB port on your computer. If this is the first time, prepare to be wowed by an epically awesome rainbow.
When PatternPaint starts, it should automatically detect and connect to your BlinkyTape. You will see all of the LEDs turn off.
(picture)
What is it?
How does it work?
...
...
...
...
...
...


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jQuery.fullscreen
jQuery.fullscreen allows you to open any element on the page in fullscreen mode without using Flash in all modern browsers (Firefox, Chrome, Safari, Opera). If this feature is not supported by the browser then element will be just stretched to fill the screen without switching to fullscreen.
Example
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Amazon Australia Black Friday 2019 sales are starting to go live
by Steve WrightWe'll add deals as they're announced.
Another minute has passed, so of course we have more details of yet another Black Friday 2019 sale — this time, it’s Amazon Australia.
While a host of sales will go live here on Friday, here are details of early offers on now. All prices are in AUD.
- NBA 2K19: $15
- Wolfenstein II: The New Colossus: $18
- AFL Evolution and Season Pack 2018: $29
-
$5 AUD off pre-orders and new release games via Amazon Prime
- Pokemon Sword and Shield: $61
- Death Stranding: $61
- Luigi’s Mansion 3: $63
- Mario and Sonic at the Olympic Games Tokyo 2020: $63
- Cyberpunk 2077: $63
- The Last of Us Part 2: $64
- Final Fantasy 7 Remake: $73
- Ring Fit Adventure: $116
We’ll add choice deals as they’re added.
Check out other Black Friday 2019 sales are via Sony, Microsoft, Big W and JB Hi-Fi.


@* * This template is called from the `index` template. This template * handles the rendering of the page header and body tags. It takes * two arguments, a `String` for the title of the page and an `Html` * object to insert into the body of the page. *@ @(title: String, scripts: Html = Html(""), webJarAssets: WebJarAssets)(content: Html)


HCOMP's annual Doctoral Consortium provides doctoral students with a unique opportunity to meet each other and experienced researchers in the field. Students will be mentored by a group of faculty who are leaders in the diverse specialties that make up the HCOMP field. The objectives of the Doctoral Consortium are to provide students with an opportunity:
Areas of Interest. HCOMP is unique in the diversity of disciplines it draws upon, and contributes to, ranging from human-centered qualitative studies and HCI design, to computer science and artificial intelligence, economics and the social sciences, all the way to cultural heritage, digital humanities, ethics, and policy. For more information about HCOMP areas of interest, please refer to the main conference's Call for Papers.
Mentors. Senior HCOMP researchers regularly participate as mentors each year. Past mentors include: Jeff Bigham, Laura Dabbish, Elizabeth Gerber, Brent Hecht, Eric Horvitz, Lilly Irani, Henry Kautz, Matthew Lease, Siddarth Suri, Loren Terveen, Haoqi Zhang. A list of HCOMP 2016 DC mentors is forthcoming.
Status in Program: Applicants must be currently enrolled in a full-time PhD program and have written, or be close to completing, a thesis proposal (or equivalent). We will give preference to students who have proposed or are about to propose but are far enough from completing their thesis that the feedback they receive at the event can impact their work. Before submitting, students should discuss this criterion with their advisor or supervisor.
Attendance: Those accepted are required to attend the DC in person, and to present a poster on their work during the poster session at the main conference.
Selection: Submissions will be reviewed by a Program Committee of Doctoral Committee Mentors, with selection based upon the expected potential of both the student and their proposed work, as well as the expected benefit to the student from participation. Priority will be given to students whose research goes beyond locally available expertise at their home institutions.
Thanks to generous funding from the the National Science Foundation (NSF) and the Artificial Intelligence Journal (AIJ), we expect to be able to support most expenses associated with attendance (e.g., airfare, one night of accommodation, conference registration, and meals on the day of the DC) for all accepted students. Additional details are forthcoming.
Applicants must submit a solely-authored paper in English containing: 1) a Doctoral Research Overview; and 2) a Supplemental Paragraph.
Doctoral Research Overview: Please summarize your doctoral research, including the following sections:
Supplemental Paragraph. Please write a paragraph explaining
Length and Organization: Your paper should be no more than 4 pages in total: 3 pages for the Doctoral Research Overview (including all figures and references), and the 4th page being the Supplemental Paragraph. The first page must contain the title of the paper, full author name, affiliation and contact details, an abstract of up to 250 words, and up to 3 keywords describing the research topic areas.
Formatting. Submissions must be formatted according to the conference's style guidelines. An Author Kit is available for getting started with LaTeX or Word. Please submit a single PDF file (embedding all required fonts). It is the responsibility of the student to ensure that their submissions uses no unusual formatting and are printable on a standard printer.
Submission. Papers should be submitted via EasyChair, selecting the Doctoral Consortium track.
Dissemination. Submissions will be distributed only to mentors and other attendees of the doctoral consortium. Proceedings of the Doctoral Consortium will NOT be archived. As such, students may freely submit their research contributions for official publication in other venues. Participant names and university affiliations, as well as paper titles and abstracts, will be publicized on the conference website and in the conference program for the poster session.
The Doctoral Consortium will be held at the School of Information (rather than the conference hotel), on campus at the University of Texas at Austin. See location & directions.
| Name | Affiliation |
|---|---|
| Jeff Bigham | Carnegie Mellon University |
| James Howison | University of Texas at Austin |
| Name | Affiliation |
|---|---|
| Markus Krause | ICSI, UC Berkeley |
| Andres Monroy-Hernandez | Microsoft Research |


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Fall 2020
Due to the ongoing COVID-19 pandemic, the AGNT seminar will not be meeting regularly.
En lieu of the regular seminar, we encourage you to participate in the many related online-only seminars being run during this time:
Watch this space for occasional online-only events throughout the semester:
Abstract: The essential dimension of an algebraic group is an interesting numerical invariant that ties together problems in representation theory, algebraic geometry, and number theory. The essential dimension of finite groups is especially relevant and work to classify finite groups of small essential dimension has been an ongoing project in the literature.
I present a conjectural classification of finite groups of essential dimension 2 over $\mathbb{Q}$ and the current state of progress on this problem.
(Zoom meeting details sent by department-wide email or contact Alex Duncan.)
Abstract: There is a so-called vertical Sato-Tate conjecture for GL(2), which describes an equidistribution of Hecke eigenvalues of classical modular forms with respect to certain measure. In this talk, we will discuss a similar equidistribution result for a family of cuspidal automorphic representations of GSp(4). We formulate our theorem explicitly in terms of the number of cuspidal automorphic representations of GSp(4) satisfying certain conditions. To count the number of these cuspidal automorphic representations, we will explore the connection between Siegel cusp forms and cuspidal automorphic representations of GSp(4). This is a joint work with Manami Roy and Ralf Schmidt.
(Zoom meeting details sent by department-wide email or contact Alex Duncan.)


Arrays in Ruby are an ordered set of objects that are indexed by integers starting with 0. When indexing an array using negative integers, the indices begin at the end of the array (ie -1 would index the last item of the array).
We can create an array using a variable and assigning it to object within a set of brackets using the following syntax:
Besides the aforementioned way, another way to make an array is by defining each characteristic of the array. First defining the array name, then telling it how many objects will be within the array, and lastly what those objects are, using the following syntax:
Arrays are a great way to store information that we want to call on using integers as our index. The tricky thing, however, is to remember that the first object in an array is always considered the zeroeth element, called on from the 0 position. For example:
array = ["cat", 'dog", "monkey", "elephant"]
to call on the "cat" string I can use
array [0] #=> "cat"
and using other integer indices I can call on other objects in the array
array [1] #=>"dog"
array [2] #=> "monkey"
array [3] #=> "elephant"
But what if we didn't want to use integers as our index? What if we wanted to assign each position in the array to a specific key...
Hashes are very similar to arrays, but instead of using integers as our index, we are able to assign specific keys to each value. We are able to use several methods to create hashes.
We can use brackets to create a hash using its, implicit form:
Another way to create hashes is:
And yet ANOTHER way to create hashes is:
We can then call on different values from each key using
Ultimately, we can think of hashes as a more refined version of arrays where we can be more specific with the keys which we use to call the values.


Lorem
It is a long established fact that a reader will be distracted by the readable content of a page when looking at its layout. The point of using Lorem Ipsum is that it has a more-or-less normal distribution of letters,
Lorem
It is a long established fact that a reader will be distracted by the readable content of a page when looking at its layout. The point of using Lorem Ipsum is that it has a more-or-less normal distribution of letters,
Lorem
It is a long established fact that a reader will be distracted by the readable content of a page when looking at its layout. The point of using Lorem Ipsum is that it has a more-or-less normal distribution of letters,


Documentation for Organizations
Index
- Introduction
- Module contents
- Import this module
- Storage engine
- Customizing membership profiles
- Access the API
- Github repository
- NPM package
Introduction
Dashboard bundles everything a web app needs, all the "boilerplate" like signing in and changing passwords, into a parallel server so you can write a much smaller web app.
The Organizations module allows users to create organizations and invitations other users can accept to join. Users must share the invitations themselves with the recipients. Your application server can use the Organizations module's API to fetch what organizations a user is in and use that data to allow shared access or assign ownership or whatever other purpose. A complete UI is provided for users to create and manage their organizations and memberships, and a basic administrator UI is provided for oversight.
Module contents
Dashboard modules can add pages and API routes. For more details check the sitemap.txt
and api.txt
or env.txt
also contained in the online documentation.
| Content type | |
|---|---|
| Proxy scripts | |
| Server scripts | |
| Content scripts | |
| User pages | Yes |
| User API routes | Yes |
| Administrator pages | Yes |
| Administrator API routes | Yes |
Import this module
On your Dashboard server you need to install this module with NPM:
$ npm install @userdashboard/organizations
Edit your package.json
to activate the module:
"dashboard": {
"modules": [
"@userdashboard/organizations"
]
}
Storage engine
By default this module will share whatever storage you use for Dashboard. You can specify an alternate storage module to use instead, or the same module with a separate database.
 You specify the fields you want in an environment variable:
MEMBERSHIP_PROFILE_FIELDS="any,of,the,below"
| Field |
|---|
| display-name |
| display-email |
| contact-email |
| full-name |
| dob |
| phone |
| occupation |
| location |
| location |
| company-name |
| website |
Access the API
Dashboard and official modules are completely API-driven and you can access the same APIs on behalf of the user making requests. You perform GET
, POST
, PATCH
, and DELETE
HTTP requests against the API endpoints to fetch or modify data. This example fetches the user's country information using NodeJS, you can do this with any language:
You can view API documentation within the NodeJS modules' api.txt
files, or on the documentation site.
const memberships = await proxy(`/api/user/organizations/memberships?accountid=${accountid}&all=true`, accountid, sessionid)
const proxy = util.promisify((path, accountid, sessionid, callback) => {
const requestOptions = {
host: 'dashboard.example.com',
path: path,
port: '443',
method: 'GET',
headers: {
'x-application-server': 'application.example.com',
'x-application-server-token': process.env.APPLICATION_SERVER_TOKEN,
'x-accountid': accountid,
'x-sessionid': sessionid
}
}
const proxyRequest = require('https').request(requestOptions, (proxyResponse) => {
let body = ''
proxyResponse.on('data', (chunk) => {
body += chunk
})
return proxyResponse.on('end', () => {
return callback(null, JSON.parse(body))
})
})
proxyRequest.on('error', (error) => {
return callback(error)
})
return proxyRequest.end()
})
}


This chapter wants to provide users with detailed information about logger settings. Below find the list of each of the settings related sections.


Points which all lie on the same circle are called concyclic. (Every set of three points is concyclic.)
A polygon with all its vertices on a circle is called cyclic.


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'To Be' Phrases
Adjectives 1
Adjectives 2
Adjectives 3
Animals 1
Animals 2
Around Town 1
Around Town 2
Around Town 3
Around Town 4
Around Town 5
At Home
At the Beach
At the Department Store
At the Pharmacist 1
At the Pharmacist 2
At the Restaurant
At the Thai Train Station
At the Thai Travel Agent
Beginner Verbs
Body
Clothes
Colors
Commands
Common Words and Phrases 1
Common Words and Phrases 2
Common Words and Phrases 3
Countries Asia
Countries Eastern Europe
Countries North and Central America
Countries South America
Countries Western Europe
Days and Months
Family
First Conversation
Food
Food 2
Fun
In the Bathroom
In the Bedroom
In the Classroom
In the Kitchen
Insects
Jobs 1
Jobs 2
Marine Life
Meat
Numbers 1
Numbers 2
On the Airplane
Seafood
Sports
Thai Locations and Prepositions
Thai Words for Fruit 1
Thai Words for Fruit 2
Thai words for Geography
Thai Words for School Subjects
Thai Words for Vegetables 1
Thai Words for Vegetables 2
Time
Transportation
Weather
Weather Phrases


How a Clayton-le-Woods boy was given the best job ever - as a toy tester for VARTA
by Natalie WalkerAn eight-year-old boy has been given the ultimate child’s dream - a job playing with toys all day.
Joseph McGarry, of Clayton-le-Woods, beat more than 400 applicants to be selected as one of six youngsters to try out VARTA’s new toys ahead of Christmas at The Broadway Shopping Centre, in Bradford.
The Clayton-le-Woods Primary School pupil spent the day playing with 10 products from the leading German battery range,
His mum, Laura, said: “I saw the ‘job’ through an online article with the Post and I applied for Joseph. I didn’t tell him as I didn’t expect him to get it. But when I told him he had been invited, he was really excited.
“He absolutely loved it, as he got to play with a lot of toys he had never seen before, He also got to meet Santa, which was really special.
“Joseph now wants to be a toy reviewer on YouTube when he grows up.”
The toys were put to the test and the children carefully judged them against six key categories: Fun-factor, usability factor, cool-factor, excitement-factor, breakability-factor and finally, if they would put the toy on their own Christmas list.
Joseph’s favourite toy, which topped the list, was Juno the Elephant, as he was impressed with how funny it was when she threw her peanuts, as well as how cute and naughty she was. He said: “Juno is really cute and colourful and I think lots of people would like to play with her.”
Coming in second was the popular DC Transforming Remote Control Batmobile, with Joseph confirming: “You can do a lot with this toy – it’s fun.”
The children’s VARTA toys top 10 list:
1. 1. Juno the Elephant
2. DC Transforming Remote Control Batmobile
3. Boppi The Booty Shakin’ Llama
4. L.O.L Surprise! 2-in-1 Glamper
5. Paw Patrol Mighty Pups Super Paw Jet + figures
6. Walking Buzz Lightyear
7. Power Tracks
8. Pictionary Air
9. Electro Dough Kit
10. Artie 3000


Principles and advantages of a SEB versus a conventional LIB. DCR is shown to vary with the inverse of temperature for both batteries, where the upper curve for the passivated SEB is always safer due to higher DCR. The SEB can, however, achieve a similar power output to the LIB by thermal stimulation before operation, shown as going from point b to c.


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