Sorting out sorting
An introduction to computational thinking using sorting algorithms
An introduction to computational thinking using sorting algorithms
The concept of algorithms and their design can be difficult to grasp in the abstract. The purpose of this lesson is to first build out students’ understanding of how algorithms are implemented through activities and pseudocode, then apply those ideas in an exploration of commonly known sorting algorithms.
The lesson is broken into four different sections, each with a distinct goal.
Students will be able to:
In part three and four of the workshop, we will be dealing directly with coding. The examples given are written for Python 3 and will be offset in working code blocks as below:
We encounter algorithms constantly in our daily routines. In this section of the workshop, we begin our discussion on the roles of algorithms in shaping our experiences.
Working with a partner, work on the following questions/prompts.
Given the discussion from the previous task, work independently to write down a working definition of an algorithm. Once done, share your definition with your partner. When the partners are done sharing, we will come together as a class to create a single working definition.
Given this our new working definition, what do we think of the following:
Now that we have a working sense of what an algorithm is and what it does, we are going to work through three activities that require us to make our own algorithms. The goal for each of the activities is to create a sorted line of everyone based on some type of information. Sorting algorithms are good for working through understanding algorithms given that they can provide a range of complexity and demostrate lots of considerations of algorithm design in a tangible manner.
On one of the index cards that you have, write down your name. Stand up and bring your card to the front of the classroom; if other students are already there, simply stand before or after them where there is room to form a line. Once everyone is line, sort yourselves while making mental notes about the steps you take to do so.
Once everyone is sorted, you will be asked to return to your seats. Working with a partner, record the steps to the Name Sort algorithm you made as a class.
On the second index card, write down your birthday. As before, afterwards stand up and take the card with you to the front of the room; if other students are already there, stand before or after them where there is room. Once everyone is in line, sort yourselves again. You may not use the same steps you used for the Name Sort.
Once everyone is sorted, return to your seats. Again, working with a partner, record the steps to Birthday Sort.
On the third index card, write down the dominant color of your shirt (white, red, orange, yellow, green, blue, purple, brown, black). For a final time, stand up and take the card with you to the front of the room; if other students are already there, stand before or after them where there is room. Once everyone is in line, sort yourselves by color. You may not use the same steps you used for the Name Sort or Birthday Sort.
Once everyone is sorted, return to your seats. Again, working with a partner, record the steps to Color Sort.
Now that we have three examples of pseudo code, we are going to work together to implement some of them in Python. While there are many different ways to sort sets of data, included are four standard options below. Some of our sorting algorithms may map closely to these. In any case, looking across ours and those included below will help shape our understanding of algorithm design.
Bubble sort is one of the most simple sorting algorithms. It starts at the beginning of the data set and compares the first two items, sorting them. It then works through the data continuing to sort in comparisons of two items. Once it has worked through the list the first time, it will have sorted the highest item to its last place. The algorithm them starts again and works through the set, repeating this process until no swaps are made in a final pass.
Example of bubble sort code:
Insertion sort works a little differently than bubble sort, as it requires fewer passes across the items. It takes the first item and puts it into a new set. Then it works across the first set, item by item, and places it in the new set in its proper location. This method comes at the cost of being inefficient on larger data sets and sets that are not relatively sorted to begin with.
Example of insertion sort code:
Merge sort works on the premise that sorting subsets that are already sorted is effecient. It works by sorting pairs of items and them merging the sorted pairs together. It continues merging sorted sets until it merges the whole set together.
Example of merge sort code:
Of the sorting algorithms presented today, Quick Sort is the most complex. Using a pivot function, it breaks the original set up by a value and splits the items that are higher or lower than that value. It then follows the same procedure recursively through the higher and lower subsets (and subsets of subsets, etc) until the whole set is sorted.
Example of quick sort code:
We've now looked at several different comparison sorting algorithms. Here we move to a discussion around comparing across the set of them. What makes a good algorithm? What makes good algorithm design?
There are lots of different techincal considerations within algorithm design. Interesting technical issues around their design include: does performance vary across different sets of data? what happens in an already sorted set? how much space is required to run the algorithm? how many operations must be performed?
For our purposes, we are chiefly concerned with this last point. Working with your partner, rank the three algorithms we developed as a class from most technically efficient to least (Name Sort, Birthday Sort, Color Sort).
There are lots of things that are technically possible, but seemingly not practical. The notion of practicality plays out in a number of ways with regards to algorithms. What are the practical conditions necessary for an algorithm to be useful? How are those assumed or accounted for in its design?
In our exercises in creating algorithms, you will have encountered several moments that required practical consideration in order to move on to the next step. What types of practical considerations were important? How would knowing about practical considerations inform algorithm design? Design of other data on a platform or within a system?
A final consideration for thinking about algorithms and their design deals with ethics. Just because data is available does not mean that it warrants algorithm intervention, especially when it comes to security, privacy, or other social issues.
Consider platforms that you use regularly. Do the data they gather and the algorithms they run on the data follow ethics? How does someone design an ethical algorithm?
Finally, because it had to be included, here is an old-school video that hits on a lot of the points we've gone through in the workshop:


UK Government wishes to track diversity so that it can measure its performance and plan for improvement. Please answer a few questions about yourself.


{% extends "base.html" %} {% block title %}Pipeline | Contributors{% endblock%} {% block main %} A Catalyst collaboration with civil society. Our collective ambition is to create a shared, open pipeline of thoughts, research and services for civil society. We would like to thank the following for helping to deliver this platform: Stein - for providing free use of their platform during COVID-19 response Sourabh Choraria - for assistance with Google Apps Scripting {% include "fragments/secondary_cta.njk" %} {% endblock %}
Our collective ambition is to create a shared, open pipeline of thoughts, research and services for civil society.
We would like to thank the following for helping to deliver this platform:


| DOSE: |
7 hits |
inhaled |
Ether |
(liquid) |
[Erowid Warning: The “starter fluid” mentioned here is a mixture of diethyl ether and volatile hydrocarbon liquids/gases. Our understanding of the literature is that there is no such thing as safe use of volatile hydrocarbon gases: their psychoactive effects are inseparable from nerve and organ damage.]
The buzz that I get from ether feels like an air duster hit, but it feels so much better, and more clean.
This was my first time doing ether.
 I was talking about making a fire with ether, and nick mentioned how he wanted to try huffing it. So I told him to look it up online, and we did, and after I read the first story, I had made my choice; I was going to huff ether tonight. I went downstairs and got some rags and the Vehicle igniter (ether) or what ever its called. We went outside and sat down in my back yard and I soaked the two rags and handed one to nick. When I first huffed it, it felt like I pissed my pants because all of a sudden, the 30 degree weather felt like nothing, and I felt warmth spread from my head to my toes, inch by inch. I started getting a loud echo in my ears, and at this moment, about 45 seconds into my first rag, I felt EXACTLY like I had just taken a hit from a can of air duster.
I inhaled once more, and that changed right away. It got more intense, and I started laughing in a very high pitch laugh, and it echoed off of my house, and I felt like I was in a tunnel. I don't remember anything for about 10 minutes after that except for doing another rag. I got up and started marching around my back yard, not being able to feel anything other than my head. I sat back down and did another rag, and once again, my high stepped up. I was in a world of Deja-vu.
My life had become nothing but Deja-vu. I felt like everything I was doing had already been written into fate and I was watching my life from fate's perspective. Everything I did felt like a key fitting perfectly into place, and I get a strong feeling of being complete. After my 3rd rag, I started to understand it all, I finally understood life, why I was here, why everything was happening. I did 4 more rags but I don't really remember anything else, except that ether is by far the most intense drug I have ever done and at the moment I am in love with it, and also about to do up a few rags in a little bit.
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.


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Technical, engineering and mechanic texts
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Reinforcement learning in formal terms is a method of machine learning wherein the software agent learns to perform certain actions in an environment which lead it to maximum reward.
It does so by exploration and exploitation of knowledge it learns by repeated trials of maximizing the reward.
One can conclude that while supervised learning predicts continuous ranged values or discrete labels/classes based on the training it receives from examples with provided labels or values.
Unsupervised learning tries to club together samples based on their similarity and determine discrete clusters.
Reinforcement learning on the other hand, which is a subset of Unsupervised learning, performs learning very differently.
It takes up the method of "cause and effect".
Intuition to Reinforcement Learning
Let us try to understand the previously stated formal definition by means of an example -
Imagine you are supposed to cross an unknown field in the middle of a pitch black night without a torch.
There can be pits and stones in the field, the position of those are unfamiliar to you.
There's a simple rule - if you fall into a hole or hit a rock, you must start again from your initial point.
You start walking forward blindly, only counting the number of steps you take.
After x steps, you fall into a pit. Your reward was x points since you walked that many steps.
You start again from your initial position, but after x steps, you take a detour either left/right and again move forward.
You hit a stone after y steps. This time your reward was y which is greater than x.
You decide to take this path again but with more caution.
When you start again, you make a detour after x steps, another after y steps and manage to fall into another pit after z steps.
This time the reward was z points which was greater than y, and you decide that this is a good path to take again.
You restart again, make the detours after x, y and z steps to reach the other side of the field.
Thus, you've learned to cross the field without the need of light.
Basic Concept and Terminology
Insight
In the above example, you are the agent who is trying to walk across the field, which is the environment.
Walking is the action the agent performs on the environment. The distance the agent walks acts as the reward.
The agent tries to perform the action in such a way that the reward maximizes.
This is how Reinforcement Learning works in a nutshell. The following figure puts it into a simple diagram -
And in the proper technical terms, and generalizing to fit more examples into it, the diagram becomes -
Terminology
Some important terms related to reinforcement learning are
Agent: a hypothetical entity which performs actions in an environment to gain some reward.
Action (a): All the possible moves that the agent can take.
Environment (e): A scenario the agent has to face.
State (s): Current situation returned by the environment.
Reward (R): An immediate return sent back from the environment to evaluate the last action by the agent.
Policy (π): The strategy that the agent employs to determine next action based on the current state.
Value (V): The expected long-term return with discount, as opposed to the short-term reward R. Vπ(s), is defined as the expected long-term return of the current state s under policy π.
Q-value or action-value (Q): Q-value is similar to Value, except that it takes an extra parameter, the current action a. Qπ(s, a) refers to the long-term return of the current state s, taking action a under policy π.
How Reinforcement Learning Works
There are majorly three approaches to implement a reinforcement learning algorithm. They are -
Value Based: In a value-based reinforcement learning method, you try to maximize a value function V(s).
As defined in the terminology previously, Vπ(s) is the expected long-term return of the current state s under policy π.
Thus, V(s) is the value of reward which the agent expects to gain in the future upon starting at that state s.
Policy-based: in a policy-based reinforcement learning method, you try to come up with a policy such that the action performed at each state is optimal to gain maximum reward in the future.
Here, no value function is involved. We know that the policy π determines the next action a at any state s. There are two types of policy-based RL methods -
Deterministic: at any state s, the same action a is produced by the policy π.
Stochastic: each action has a certain probability, given by the equation below -
An Example: Tic-Tac-Toe
A sequence of tic-tac-toe moves.
The solid black lines represent the moves taken during a game;
the dashed lines represent moves that the agent considered but did not make.
Our second move was an exploratory move, meaning that it was taken even though another sibling move,
the one leading to e*, was ranked higher.
Exploratory moves do not result in any learning, but each of our other moves do, causing updates as
suggested by the red arrows in which estimated values are moved up the tree from later nodes to earlier.
Reinforcement Learning Approach to solve Tic-Tac-Toe:
Set up table of numbers, one for each possible state of the game.
Each number will be our latest estimate of our probability of winning from that state.
This estimate is the state’s value and the whole table is the learned value function.
Assuming we always play Xs, then for all states with 3 Xs in a row (column and diagonal) the probability of winning is 1.0
And for all states with 3 Os in a row (column and diagonal) the probability of winning is 0.0
We set the initial values of all other states to 0.5 (representing we have a 50% chance of winning.)
We then play many games against the opponent. To select our moves:
We examine the states that would result from each of our possible moves and look up their current values in the table.
Most of the time we move greedily, selecting the move that leads to the state with the greatest value. (highest probability of winning)
Occasionally, we select randomly from among the other moves instead. (Exploration)
We then play many games against the opponent. To select our moves:
After each greedy move, from A to B, we update the value of A to be more closer to the value of B.
This is achieved using the following formula
where,
V(S_t) — value of the older state, state before the greedy move (A),
V(S_t+1) — value of the new state, state after the greedy move (B),
alpha — learning rate
This update rule is an example of Temporal-Difference Learning method, so called because its changes are based on a difference, V(S_t+1) — V(S_t), between estimates at two successive times.
For better understanding of Reinforcement Learning along eith the code,
check out the jupyter notebook
here.


Our life of prayer falls into three natural parts. These are:
The Prayer of the Church, which is sometimes called the Divine Office and which punctuates our day with hymns, psalms and spiritual canticles, as St Paul recommended.
Our personal prayer time alone with God. There are two hours set aside for this each day though our hope is that our whole day can be filled with prayer.
Our specific intercession for the needs of the Church, of our friends and those who contact us asking us to support them with our prayer. This takes place specifically at Morning and Evening Prayer and at many private moments throughout the day.
Wednesday evening and Thursday morning there is no Office celebrated in public, the sisters have a ‘hermit’ space, each praying alone.
Weekday Mass is usually at 8.30am.
Vigil Mass for Sunday is at 6.15pm on Saturday evening.
There is no Mass on Sunday.
There is not usually Mass Saturday morning.
Sunday afternoons we usually have Exposition of the Blessed Sacrament at 4.30pm, followed by Benediction.
Fridays and Saturdays Evening Prayer is usually at 5.30pm
Christian Meditation (John Main) group: Tuesday evenings, c.7pm - 8.30pm.
Each meeting includes a short (taped) talk and 30 minutes of silent centering prayer. All are welcome, from any prayer tradition. There are usually 10 - 15 people each week.
Taize style prayer meeting: last Friday of each month (except December), c.7.15pm – 8.30pm. All are welcome.
If you would like to ask the community to pray for a special intention mail us a prayer request:
Although you may only receive a standardised reply, you can be confident that we will indeed pray.


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continents.
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Notebooks
Story: Words and sentences: Da, May 1880
Words and sentences: Da, May 1880
Title
Words and sentences: Da, May 1880
Collection
Summary
Words and sentences provided by Da in May 1880 (and added to in October 1881). The other boys have also added various explanations, corrections and notes which Lloyd has noted on the verso pages and throughout some of the text. Da has provided the names of parts of the body, details of practices and objects he encountered in his daily life, and the odd detail relating to his experiences (and capture) and his parents and relations (before he was taken away from them). Da also gives the names for parts and markings of arrows and their uses, as well as the names of other implements and weapons used by his people. Da also mentions some of the other peoples found in his country (such as the Makoba and the Damara) and some of his people's experiences with them.
Comments
1) p.10 252v: see |uma: his capture by the Makoba and his Boer masters, 2) p.10 253v: (Da, 28 October 1883) the term for 'to play', 3) p.10 256v: publication details of a book Lloyd refers to for illustrations of arrows (Wood's Natural History of Man, 1868), 4) p.10 259v: Da says that his father was marked (or cut) between his eyebrows (Da seems to have been marked in the same way), 5) This story is found in Book XIV & XIV-1
Contributors
Date
7 May (started) 1880
Categories
Words and sentences, History (personal)
Keywords
words and sentences (given by Da in May 1880) , vocabulary (!kun) , vocabulary (given by Da in May 1880) , Da (his personal history) , Da (his country) , Da (in Mowbray in May 1880) , Da (his capture) , Da (his parents and relations) , personal history (of Da's) , country (Da's) , country (the peoples of Da's) , Makoba (in Da's country) , Damara (in Da's country) , names (for arrows and weapons) , names (for things given by Da) , parents (Da's)
Story Pages
10 274-10 279, 10 282-292, 10 253-10 260


Enhances the 'R' Optimization Infrastructure ('ROI') package by registering the free 'GLPK' solver. It allows for solving mixed integer linear programming ('MILP') problems as well as all variants/combinations of 'LP', 'IP'.
| Version: | 0.3-0 |
| Imports: | methods, ROI (≥ 0.3-0), Rglpk (≥ 0.6-2) |
| Published: | 2017-10-20 |
| Author: | Stefan Theussl [aut, cre] |
| Maintainer: | Stefan Theussl <Stefan.Theussl at R-Project.org> |
| License: | GPL-3 |
| URL: | http://R-Forge.R-project.org/projects/roi |
| NeedsCompilation: | no |
| CRAN checks: | ROI.plugin.glpk results |
| Reference manual: | ROI.plugin.glpk.pdf |
| Package source: | ROI.plugin.glpk_0.3-0.tar.gz |
| Windows binaries: | r-devel: ROI.plugin.glpk_0.3-0.zip, r-release: ROI.plugin.glpk_0.3-0.zip, r-oldrel: ROI.plugin.glpk_0.3-0.zip |
| OS X binaries: | r-release: ROI.plugin.glpk_0.3-0.tgz, r-oldrel: ROI.plugin.glpk_0.3-0.tgz |
| Old sources: | ROI.plugin.glpk archive |
| Reverse depends: | modopt.matlab |
| Reverse imports: | FuzzyLP |
| Reverse suggests: | mknapsack, ompr.roi, PortfolioAnalytics, ROI, ROI.plugin.msbinlp |
Please use the canonical form https://CRAN.R-project.org/package=ROI.plugin.glpk to link to this page.


--- layout: post title: Factory design tagline: " pattern in Python3" permalink: /python3/design/patterns/creational/factory.html categories: [literate programming, emacs, Python3] tags: [OOP, design, patterns, creational, factory] ---
Hope this page could elucidate the same issue in a bit different manner.
A descriptive and unique name that helps in identifying and referring to the pattern.
A description of the goal behind the pattern and the reason for using it.
Other names for the pattern.
A scenario consisting of a problem and a context in which this pattern can be used.
Situations in which this pattern is usable; the context for the pattern.
A graphical representation of the pattern. Class diagrams and Interaction diagrams may be used for this purpose.
A listing of the classes and objects used in the pattern and their roles in the design.
A description of how classes and objects used in the pattern interact with each other.
A description of an implementation of the pattern; the solution part of the pattern.
A description of the results, side effects, and trade offs caused by using the pattern.
Examples of real usages of the pattern.
Other patterns that have some relationship with the pattern; discussion of the differences between the pattern and similar patterns.
For educational purposes it would be priceless to look at the working code sample. Exactly to achieve a stunning clarity it might be helpful to compose a test suite for testing the pattern features and collocate it nearby pattern source code.
Creates some particular animal out from arbitrary number preliminarily defined pets.
| Pattern code | Test suite |
|---|---|
#!/usr/bin/env python # -*- coding: utf-8 -*- """ A pet factory abstraction """ class Dog(object): """A simple dog class""" def __init__(self, name): self._name = name def speak(self): return "Woof!" class Cat(object): """A simple cat class""" def __init__(self, name): self._name = name def speak(self): return "Meow!" def spawn_pet(pet="dog"): """The factory method""" pets = dict(dog=Dog("Hope"), cat=Cat("Peace")) return pets[pet] d = spawn_pet("dog") print(d.speak()) c = spawn_pet("cat") print(c.speak()) Woof! Meow! |
#!/usr/bin/env python # -*- coding: utf-8 -*- """ An attempt to illustrate how pet_factory works """ import unittest from pet_factory import Dog, Cat, spawn_pet class TestPetBehavior(unittest.TestCase): def setUp(self): self.D = Dog('Hound') def test_dog_init_name(self): self.assertEqual(self.D._name, 'Hound') def test_dog_speak_ability(self): self.assertEqual(self.D.speak(), 'Woof!') |
| Pattern code | Test suite |
|---|---|
#!/usr/bin/env python # -*- coding: utf-8 -*- """ A pet factory abstraction """ from abc import ABCMeta, abstractmethod class Animal(metaclass=ABCMeta): @abstractmethod def do_say(self): pass class Dog(Animal): def do_say(self): return "Bhow Bhow!!" class Cat(Animal): def do_say(self): return "Meow Meow!!" class PetFactory(object): def make_clamor(self, object_type): return eval(object_type)().do_say() |
#!/usr/bin/env python # -*- coding: utf-8 -*- """ Discover how it works """ import unittest from sophisticated_pet_factory import Dog, \ Cat, PetFactory class TestPetBehavior(unittest.TestCase): def setUp(self): self.pet_factory = PetFactory() def test_dog_speak_ability(self): self.assertEqual( self.pet_factory.make_clamor('Dog'), 'Bhow Bhow!!') def test_cat_speak_ability(self): self.assertEqual( self.pet_factory.make_clamor('Cat'), 'Meow Meow!!') def tearDown(self): del self.pet_factory |
| Pattern code | Test suite |
|---|---|
#!/usr/bin/env python # -*- coding: utf-8 -*- """ How to choose an arbitrary weapon """ from random import randrange class Weapon(object): name = None cost = None @staticmethod def get_weapon(x): if x == 0: return Knife() if x == 1: return Gun() class Knife(Weapon): name = 'Knife' cost = 20.00 class Gun(Weapon): name = 'Gun' cost = 300.00 # Create 5 random weapons for _ in range(5): w = Weapon.get_weapon(randrange(2)) print(w.name, w.cost) Gun 300.0 Gun 300.0 Knife 20.0 Knife 20.0 Knife 20.0 |
#!/usr/bin/env python # -*- coding: utf-8 -*- """ An attempt to illustrate how sample_code works """ import unittest |


| DOSE: T+ 0:00 |
3.0 mg |
insufflated |
MDPV |
(liquid) |
| T+ 0:45 |
1.0 mg |
insufflated |
MDPV |
(liquid) |
| T+ 1:00 |
0.5 mg |
insufflated |
MDPV |
(liquid) |
| T+ 2:05 |
1.0 mg |
insufflated |
MDPV |
(liquid) |
| T+ 3:15 |
2.5 mg |
rectal |
Pharms - Zolpidem |
(pill / tablet) |
| T+ 3:15 |
0.75 mg |
rectal |
Pharms - Clonazepam |
(pill / tablet) |
| T+ 5:00 |
4.0 mg |
insufflated |
MDPV |
(liquid) |
| T+ 7:45 |
1.0 mg |
insufflated |
MDPV |
(liquid) |
Substance: MDPV (1-(3,4-methylenedioxyphenyl)-2-(pyrrolidin-1-yl)-1-pentanone HCl).
Structural similarities: Methylphenidate (Ritalin), cocaine.
Nature: Potent stimulant, dopamine (DA) reuptake inhibitor in humans.
Form used: Dissolved in distilled water, 1ml per mg of powder supplied.
Anticipated methods of admin: Intranasal (via atomizer), oral or rectal.
Anticipated after-effects: Mild depression/anhedonia (dopamine depletion).
Harm reduction (during): Antioxidants, beta blocker, sedative, food, continuous fluids.
Harm reduction (between): L-tyrosine, vitamins, minerals, hydration, food, sleep, time.
Experience Report #1 -- 10-30-2006
After a decent stretch of sleep (and some food) I feel much better today and got the urge to experience this reputed 'clear headed stimulation' fully, so I loaded 3ml (=3mg) into my nasal pump atomizer. After around 2mg intranasal, I noticed some irregular heartbeats consistent with mild stimulation, plus a sudden urge to empty my bowels. I'm at around 2.5ml (=mg) and once again it feels like a couple cups of coffee. I have decided to take it up to 5mg and will load another couple ml into my nasal pump. I feels that <=5mg of this drug represents a low dose and is probably pretty safe, at least given the way I feel on it.>
I like this technique of administering small amounts at a time and watching as it takes effect. I am not going to tangle with either >5mg doses or rectal admin until more experience reports have been posted, nor do I plan to use this stuff regularly (particularly if I'm still awake in 12 hours!). Note that I have something of a general stimulant tolerance, if there is such a thing.
+ ~00:30 - solid 3mg ingested, I finally notice a little euphoria! This is much better... I will go slow on the last 2mg.
+ ~00:45 - (~4mg) feels something like a couple solid lines of coke in terms of both degree of stimulation and general enjoyment. I should probably just stop here, but dunno. In any case, I am much happier with this stuff today and highly recommend that it's used when the body is well fed and rested, which is a good general reco. for enjoying oneself on any stim.
+ ~01:00 - I have slowed down/backed off at ~4.5mg... except for the degree of intestinal activation I'm very, very happy with this substance. Final post here will be when it appears to be wearing off, barring any unforseen events.
+ ~02:05 - I am craving a boost and will give into it ONCE, as in 1mg. Note that I consider it a duty to report any fiending and subsequent 'giving in' where dopamine reuptake inhibition is concerned.
+ ~02:35 - That's enough... although fiendish, the substance gives a clear warning sign I have learned to heed/obey or pay the price (propylhexedrine gives this too, strangely methylone does not and I could abuse myself to death on it).
+ ~02:45 - Peak seems to have come/gone, last 1mg didn't do much and was a waste of time. I will (with some regret) let this go.
+ ~03:00 - Main effects are gone (and badly missed), aside from some residual energy. I won't sleep for another 8 hours or so, hopefully I'll have no problem then. Great, 8 hours to mull over how nice it would feel to do more. Resisting must be a rite of passage into the official RC-er's club... next I'll get a scale and join all the way .
+ ~03:15 - 2.5mg zolpidem + 0.75mg clonazepam taken rectally as a relaxant. An antidepressant is really what was needed. Doing/coming off of MDPV is like winning a Mercedes and being told at the last minute they got your name wrong. Uggh. In the future I will have to reserve kratom for the aftermath, but being so close to my recent 'O.D.' + severe stomach issues I don't dare use any for at least a couple days... that was far too traumatic to risk again so soon.
+ ~05:00 - Ahh! I am craving a redose and is this close --> <-- to giving in. I think I will redose once with 4mg (intranasal atomizer again), as I have to find out if it can be done without the 'panic attacks' others have noted. Total dosage is still><10 mg so it should be possible. Given the brevity of effects, I should still get to bed more or less on time tonight as well.>
+00:30 since redose - on the way back up, bowel stimulation noted right away. If same level is not reached at ~4mg as last time, I will give up completely and absolutely not push the bounds of this stuff (and next time I'll go rectal for improved bioavailability, and probably duration of effects too). I likely have yet to find the optimal (for me) way to administer this stuff.
+00:38 since redose - Entire 4mg administered, I will wait and see if peak occurs at 60-90 min. as before, and what that peak looks like. Still nothing even remotely resembling anxiety/panic, just an obvious energy boost.
+01:00 since redose - High is not comparable to the first time. Feels much more jittery and less pleasant. If this changes, I will say so and I'll post about it.
+02:45 since redose - Added a mg or so to nasal atomizer somewhere in there (sigh... at least it's not hit after hit like smoking would be). Nearly at or over personal dosage limit (fingers tingling slightly), but things are currently good. Peak has likely been hit, but no sign of downslide in effects yet. I am frankly about ready for it at this point. A sedative has been prepared on the side in case it's needed.
+03:15 since redose - Very interesting... substance appears to still be fully active, albeit still jitterier than the first dose. Let's hope this doesn't turn into some 6+ hour thing, or whatever. This was unexpected, but if there's a 'build up in the system' effect then in retrospect it's not surprising. Others have noted 'anxiety attacks' after a couple redoses (despite feeling like they came down in between) and attributed it to overdosage. It appears re-dosing once may be 'necessary' with this substance to fully enjoy it, unless brief effects are wanted for some specific reason (such as a sexual encounter, followed by sleep).
+04:15 since redose - Substance is still fully active in my system, no sign of comedown yet.  I am going to pre-emptively go with the sedative, there should still be enough MDPV effect to tell when it's wearing off (and the stimulation is becoming annoying).
+06:00 since redose - Effects definitely on the downswing (I can instantly check sexual responsiveness to see what dopamine's doing in my brain). It may still be a while until I'm 'completely' down. Feels like the crash is gonna be worse this time, but nothing twisted or evil after this short a period of dopamine depletion. I have been to coke parties where a friend begs me piteously for a single small line, knowing it's the last anyone has for the night.  Better than most stimulants, frankly. Better than anything but a short methylone run, better than propylhexedrine, *far* better than coke. I ate something and had a cup of black tea (brand contains only a small amount of caffeine). I feel back to baseline now, no depression and no cravings unless he purposely thinks about the drug. Another hour and a half or so browsing the web, then off to bed. Hope you have enjoyed reading this first report... MDPV requires caution, but appears to reward patience and experience (anyone can get there, but the latter requires the former).
Notes on the high: My appetite is killed by this stuff, but I managed to force 1/2 a protein bar no problem. Constant fluid intake maintained, as is my practice on stims. Increased stomach acid (as noted below with snapper's monkey). Periodic muscle spasms (mainly in face and legs) minor but evident. Some lower back pain/strain, as with any stimulant. Heart rate seems to be boosted very little, likely BP too (minimal peripheral sympathomimetic effects) although he's on a low dose of beta blockers. Boost in sexual interest present = telltale sign of increased dopamine. Periodic 'standalone' euphoria noted, but it's mild compared to some other stimulant substances.
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.


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技术002KNToolsTCPDUMP
技术002KNToolsTCPDUMP¶
tcpdump http://bencane.com/2014/10/13/quick-and-practical-reference-for-tcpdump/ A Quick and Practical Reference for tcpdump tcpdump -n 不带hostname tcpdump -vvv -vvv显示更多的ip packets信息 tcpdump -vvvv -c 1 -c显示的行数 tcpdump -i eth0 -i 指定监控的网卡信息，默认是取eth0， tcpdump -i any any是监控服务器上的所有的网卡 tcpdump -w /path/to/file -w保存到文件中 tcpdump -r /path/to/file -r从文件中读取 tcpdump -s 100 -s指定packet的长度，默认是65535 bytes filter tcpdump -nvvv -i any -c 3 host <IP_ADDRESS> 过滤host=<IP_ADDRESS>的流量 tcpdump -nvvv -i any -c 3 src host <IP_ADDRESS> 只显示source host的流量
tcpdump -nvvv -i any -c 3 port 22 and port 60738 比较有用，只抓取port22和60738之间的流量，或者tcpdump -nvvv -i any -c 3 ‘port 22 && port 60738’
tcpdump -nvvv -i any -c 20 ‘port 80 or port 443’ 或 tcpdump -nvvv -i any -c 20 ‘port 80 or port 443’
tcpdump -nvvv -i any -c 20 ‘(port 80 or port 443) and host <IP_ADDRESS>’
tcpdump -nvvv -i any -c 20 ‘((port 80 or port 443) and (host <IP_ADDRESS> or host <IP_ADDRESS>)) and dst host <IP_ADDRESS>’ 通过括号来实现运算的优先级别
抓取其他协议ICMP, UDP, and ARP 的包 观察 1.srcip和port dstip和port
<IP_ADDRESS>.56894 > <IP_ADDRESS>.22: Flags [S], cksum 0xcf28 (incorrect -> 0x0388), seq 682725222, win 29200, options [mss 1460,sackOK,TS val 619989005 ecr 0,nop,wscale 7], length 0
Given the above output we can see that the source ip is <IP_ADDRESS> the source port is 56894 and the destination ip is <IP_ADDRESS> with a destination port of 22. This is pretty easy to identify once you understand the format of tcpdump. If you haven’t guessed the format yet you can break it down as follows src-ip.src-port > dest-ip.dest-port: Flags[S] the source is in front of the > and the destination is behind. You can think of the > as an arrow pointing to the destination.
2.packet的类型 以及packet观察
<IP_ADDRESS>.56894 > <IP_ADDRESS>.22: Flags [S], cksum 0xcf28 (incorrect -> 0x0388), seq 682725222, win 29200, options [mss 1460,sackOK,TS val 619989005 ecr 0,nop,wscale 7], length 0
From the sample above we can tell that the packet is a single SYN packet. We can identify this by the Flags [S] section of the tcpdump output, different types of packets have different types of flags. Without going too deep into what types of packets exist within TCP you can use the below as a cheat sheet for identifying packet types.
[S] - SYN (Start Connection) [.] - No Flag Set [P] - PSH (Push Data) [F] - FIN (Finish Connection) [R] - RST (Reset Connection)
Depending on the version and output of tcpdump you may also see flags such as [S.] this is used to indicate a SYN-ACK packet.
An unhealthy example
15:15:43.323412 IP (tos 0x0, ttl 64, id 51051, offset 0, flags [DF], proto TCP (6), length 60)
<IP_ADDRESS>.56894 > <IP_ADDRESS>.22: Flags [S], cksum 0xcf28 (incorrect -> 0x0388), seq 682725222, win 29200, options [mss 1460,sackOK,TS val 619989005 ecr 0,nop,wscale 7], length 0
15:15:44.321444 IP (tos 0x0, ttl 64, id 51052, offset 0, flags [DF], proto TCP (6), length 60)
<IP_ADDRESS>.56894 > <IP_ADDRESS>.22: Flags [S], cksum 0xcf28 (incorrect -> 0x028e), seq 682725222, win 29200, options [mss 1460,sackOK,TS val 619989255 ecr 0,nop,wscale 7], length 0
15:15:46.321610 IP (tos 0x0, ttl 64, id 51053, offset 0, flags [DF], proto TCP (6), length 60)
<IP_ADDRESS>.56894 > <IP_ADDRESS>.22: Flags [S], cksum 0xcf28 (incorrect -> 0x009a), seq 682725
The above sampling shows an example of an unhealthy exchange, and by unhealthy exchange for this example that means no exchange. In the above sample we can see that <IP_ADDRESS> is sending a SYN packet to host <IP_ADDRESS> however we never see a response from host <IP_ADDRESS>.
A healthy example
15:18:25.716453 IP (tos 0x10, ttl 64, id 53344, offset 0, flags [DF], proto TCP (6), length 60)
<IP_ADDRESS>.34908 > <IP_ADDRESS>.22: Flags [S], cksum 0xcf3a (incorrect -> 0xc838), seq<PHONE_NUMBER>, win 29200, options [mss 1460,sackOK,TS val 620029603 ecr 0,nop,wscale 7], length 0
15:18:25.716777 IP (tos 0x0, ttl 63, id 0, offset 0, flags [DF], proto TCP (6), length 60)
<IP_ADDRESS>.22 > <IP_ADDRESS>.34908: Flags [S.], cksum 0x594a (correct), seq<PHONE_NUMBER>, ack<PHONE_NUMBER>, win 5792, options [mss 1460,sackOK,TS val 18495104 ecr 620029603,nop,wscale 2], length 0
15:18:25.716899 IP (tos 0x10, ttl 64, id 53345, offset 0, flags [DF], proto TCP (6), length 52)
<IP_ADDRESS>.34908 > <IP_ADDRESS>.22: Flags [.], cksum 0xcf32 (incorrect -> 0x9dcc), ack 1, win 229, options [nop,nop,TS val 620029603 ecr 18495104], length 0
A healthy example would look like the above, in the above we can see a standard TCP 3-way handshake. The first packet above is a SYN packet from host <IP_ADDRESS> to host <IP_ADDRESS>, the second packet is a SYN-ACK from host <IP_ADDRESS> acknowledging the SYN. The final packet is a ACK or rather a SYN-ACK-ACK from host <IP_ADDRESS> acknowledging that it has received the SYN-ACK. From this point on there is an established TCP/IP connection.
3.用Hex和ASCII 查看数据包
tcpdump -nvvv -i any -c 1 -XX ‘port 80 and host <IP_ADDRESS>’ -XX flag to print the packet data in hex and ascii
tcpdump -nvvv -i any -c 1 -A ‘port 80 and host <IP_ADDRESS>’ -A Printing packet data in ASCII only
通过这种人可读取的格式方便排查问题，如果对于加密的数据， 可以通过ssldump和wireshark。However, if you use have the certificates in use you could use commands such as ssldump or even wireshark.
tcpdump http://bencane.com/2014/10/13/quick-and-practical-reference-for-tcpdump/ A Quick and Practical Reference for tcpdump tcpdump -n 不带hostname tcpdump -vvv -vvv显示更多的ip packets信息 tcpdump -vvvv -c 1 -c显示的行数 tcpdump -i eth0 -i 指定监控的网卡信息，默认是取eth0， tcpdump -i any any是监控服务器上的所有的网卡 tcpdump -w /path/to/file -w保存到文件中 tcpdump -r /path/to/file -r从文件中读取 tcpdump -s 100 -s指定packet的长度，默认是65535 bytes filter tcpdump -nvvv -i any -c 3 host <IP_ADDRESS> 过滤host=<IP_ADDRESS>的流量 tcpdump -nvvv -i any -c 3 src host <IP_ADDRESS> 只显示source host的流量
tcpdump -nvvv -i any -c 3 port 22 and port 60738 比较有用，只抓取port22和60738之间的流量，或者tcpdump -nvvv -i any -c 3 ‘port 22 && port 60738’
tcpdump -nvvv -i any -c 20 ‘port 80 or port 443’ 或 tcpdump -nvvv -i any -c 20 ‘port 80 or port 443’
tcpdump -nvvv -i any -c 20 ‘(port 80 or port 443) and host <IP_ADDRESS>’
tcpdump -nvvv -i any -c 20 ‘((port 80 or port 443) and (host <IP_ADDRESS> or host <IP_ADDRESS>)) and dst host <IP_ADDRESS>’ 通过括号来实现运算的优先级别
抓取其他协议ICMP, UDP, and ARP 的包 观察 1.srcip和port dstip和port
<IP_ADDRESS>.56894 > <IP_ADDRESS>.22: Flags [S], cksum 0xcf28 (incorrect -> 0x0388), seq 682725222, win 29200, options [mss 1460,sackOK,TS val 619989005 ecr 0,nop,wscale 7], length 0
Given the above output we can see that the source ip is <IP_ADDRESS> the source port is 56894 and the destination ip is <IP_ADDRESS> with a destination port of 22. This is pretty easy to identify once you understand the format of tcpdump. If you haven’t guessed the format yet you can break it down as follows src-ip.src-port > dest-ip.dest-port: Flags[S] the source is in front of the > and the destination is behind. You can think of the > as an arrow pointing to the destination.
2.packet的类型 以及packet观察
<IP_ADDRESS>.56894 > <IP_ADDRESS>.22: Flags [S], cksum 0xcf28 (incorrect -> 0x0388), seq 682725222, win 29200, options [mss 1460,sackOK,TS val 619989005 ecr 0,nop,wscale 7], length 0
From the sample above we can tell that the packet is a single SYN packet. We can identify this by the Flags [S] section of the tcpdump output, different types of packets have different types of flags. Without going too deep into what types of packets exist within TCP you can use the below as a cheat sheet for identifying packet types.
[S] - SYN (Start Connection) [.] - No Flag Set [P] - PSH (Push Data) [F] - FIN (Finish Connection) [R] - RST (Reset Connection)
Depending on the version and output of tcpdump you may also see flags such as [S.] this is used to indicate a SYN-ACK packet.
An unhealthy example
15:15:43.323412 IP (tos 0x0, ttl 64, id 51051, offset 0, flags [DF], proto TCP (6), length 60)
<IP_ADDRESS>.56894 > <IP_ADDRESS>.22: Flags [S], cksum 0xcf28 (incorrect -> 0x0388), seq 682725222, win 29200, options [mss 1460,sackOK,TS val 619989005 ecr 0,nop,wscale 7], length 0
15:15:44.321444 IP (tos 0x0, ttl 64, id 51052, offset 0, flags [DF], proto TCP (6), length 60)
<IP_ADDRESS>.56894 > <IP_ADDRESS>.22: Flags [S], cksum 0xcf28 (incorrect -> 0x028e), seq 682725222, win 29200, options [mss 1460,sackOK,TS val 619989255 ecr 0,nop,wscale 7], length 0
15:15:46.321610 IP (tos 0x0, ttl 64, id 51053, offset 0, flags [DF], proto TCP (6), length 60)
<IP_ADDRESS>.56894 > <IP_ADDRESS>.22: Flags [S], cksum 0xcf28 (incorrect -> 0x009a), seq 682725
The above sampling shows an example of an unhealthy exchange, and by unhealthy exchange for this example that means no exchange. In the above sample we can see that <IP_ADDRESS> is sending a SYN packet to host <IP_ADDRESS> however we never see a response from host <IP_ADDRESS>.
A healthy example
15:18:25.716453 IP (tos 0x10, ttl 64, id 53344, offset 0, flags [DF], proto TCP (6), length 60)
<IP_ADDRESS>.34908 > <IP_ADDRESS>.22: Flags [S], cksum 0xcf3a (incorrect -> 0xc838), seq<PHONE_NUMBER>, win 29200, options [mss 1460,sackOK,TS val 620029603 ecr 0,nop,wscale 7], length 0
15:18:25.716777 IP (tos 0x0, ttl 63, id 0, offset 0, flags [DF], proto TCP (6), length 60)
<IP_ADDRESS>.22 > <IP_ADDRESS>.34908: Flags [S.], cksum 0x594a (correct), seq<PHONE_NUMBER>, ack<PHONE_NUMBER>, win 5792, options [mss 1460,sackOK,TS val 18495104 ecr 620029603,nop,wscale 2], length 0
15:18:25.716899 IP (tos 0x10, ttl 64, id 53345, offset 0, flags [DF], proto TCP (6), length 52)
<IP_ADDRESS>.34908 > <IP_ADDRESS>.22: Flags [.], cksum 0xcf32 (incorrect -> 0x9dcc), ack 1, win 229, options [nop,nop,TS val 620029603 ecr 18495104], length 0
A healthy example would look like the above, in the above we can see a standard TCP 3-way handshake. The first packet above is a SYN packet from host <IP_ADDRESS> to host <IP_ADDRESS>, the second packet is a SYN-ACK from host <IP_ADDRESS> acknowledging the SYN. The final packet is a ACK or rather a SYN-ACK-ACK from host <IP_ADDRESS> acknowledging that it has received the SYN-ACK. From this point on there is an established TCP/IP connection.
3.用Hex和ASCII 查看数据包
tcpdump -nvvv -i any -c 1 -XX ‘port 80 and host <IP_ADDRESS>’ -XX flag to print the packet data in hex and ascii
tcpdump -nvvv -i any -c 1 -A ‘port 80 and host <IP_ADDRESS>’ -A Printing packet data in ASCII only
通过这种人可读取的格式方便排查问题，如果对于加密的数据， 可以通过ssldump和wireshark。However, if you use have the certificates in use you could use commands such as ssldump or even wireshark.


We make things. We get curious and make things to work out ideas. Or we make things for clients. Or we make things just for fun. A lot of the things we've made are pretty useful. And they're openly licensed, so here you go!
Mozilla, Greenpeace, Co-ops, conferences near and far - over the course of her career, Laura has made tons of agendas for in-person events. She pulls her agendas together at lightening speed, with the help of her personal activity library.
Some people love to draw and tinker. Lately Bryan has been drawing and tinkering with remixable SVGs. His library of remix tools will let you meme and build t-shirts, export PNGs and share feedback.


https://www.cyberciti.biz/tips/what-is-devshm-and-its-practical-usage.html
Use /dev/shm instead of tmp to avoid touching disk!
shm / shmfs is also known as tmpfs, which is a common name for a temporary file storage facility on many Unix-like operating systems. It is intended to appear as a mounted file system, but one which uses virtual memory instead of a persistent storage device.
If you type the mount command you will see /dev/shm as a tempfs file system. Therefore, it is a file system, which keeps all files in virtual memory. Everything in tmpfs is temporary in the sense that no files will be created on your hard drive. If you unmount a tmpfs instance, everything stored therein is lost. By default almost all Linux distros configured to use /dev/shm:
Filesystem Size Used Avail Use% Mounted on
/dev/mapper/wks01-root
444G 70G 351G 17% /
tmpfs 3.9G 0 3.9G 0% /lib/init/rw
udev 3.9G 332K 3.9G 1% /dev
tmpfs 3.9G 168K 3.9G 1% /dev/shm
/dev/sda1 228M 32M 184M 15% /boot


Release Date: {{results.data.release_date | date:'longDate'}}
Rating: {{results.data.vote_average}} of 10.0
HOMEPAGE


{% extends "bootstrap_responsive.html" %} {% import "bootstrap_wtf.html" as wtf %} {% block body_content %}
This tool provides web based interactive interfaces for learning Python and the shell
Each email that logs in will create a completely sandboxed environment for you to experiment with
no container available
{% endif %}no container available
{% endif %}


{% extends "base.html" %}
{% block title %}Complete registration {{ super() }}{% endblock %}
{% block body %}
{{ super() }}
Thank you for verifying the email address*! At this point, we need just a bit more information before we can complete your account.


--- layout: post title: greetings date: '2012-01-19T12:18:19+01:00' tags: - found tumblr_url: http://dotmr.tumblr.com/post/16120731757/greetings ---
Greetings


A Visual Studio extension to automate code authoring for the Microsoft Dynamics AX Commerce Runtime framework.
Please report any issues here.
Currently supporting:
You can install it:
For this snippet:
/// <summary>
/// Gets a product.
/// </summary>
/// <param name="productId">The product id.</param>
/// <param name="someOtherResponseData">The first result.</param>
/// <returns>The found product.</returns>
public Product GetProducts(long productId, out string someOtherResponseData)
{
someOtherResponseData = "I will be on the response definition as well";
return new Product();
}
The following request will be generated:
/// <summary>
/// Gets a product.
/// </summary>
public class GetProductsRequest : IRequest
{
/// <summary>
/// Initializes a new instance of the <see cref="GetProductsRequest"/> class.
/// </summary>
/// <param name="productId">The product id.</param>
public GetProductsRequest(long productId)
{
this.ProductId = productId;
}
/// <summary>
/// Gets the product id.
/// </summary>
public long ProductId { get; private set; }
}
And following response will be generated:
/// <summary>
/// The response for <see cref="{GetProductsRequest}" />.
/// </summary>
public class GetProductsResponse : IResponse
{
/// <summary>
/// Initializes a new instance of the <see cref="GetProductsResponse"/> class.
/// </summary>
/// <param name="Product">The found product.</param>
/// <param name="someOtherResponseData">The first result.</param>
public GetProductsResponse(Product product, string someOtherResponseData)
{
this.Product = product;
this.SomeOtherResponseData = someOtherResponseData;
}
/// <summary>
/// Gets the found product.
/// </summary>
public Product Product { get; private set; }
/// <summary>
/// Gets the first result.
/// </summary>
public string SomeOtherResponseData { get; private set; }
}
You can configure the extension settings at Tools -> Options -> Commerce Runtime Handyman
Contributions are welcomed! Please report issues and submit pull requests here.
To build and run the extension, you will need to install Visual Studio SDK.


Admin Roles¶
The jobs done by the admin involve modifying the database. This can be done through the admin panel.
Periodically, after every semester, the admin needs scrape the new papers posted in the library website.
This can be done using scripts/pdfFinder.py
script in the repo.
To automate the process in production, cron jobs
can be scheduled.
The JSON file generated by this process should be uploaded via the bulk upload option as said in the Usage section.
The admin also needs to generate keywords metadata for the files.
To ease its automation scripts/keywordProcessor.py
is given.
THIS SCRIPT MUST BE RUN LOCALLY.
Running this in the server creates excess overload unless the server has GPUs.


Public Types | |
| enum | LiteralType { NegINF, PosINF, NaN, SpecialTypeNum, Normal } |
Public Member Functions | |
| virtual | ~XMLAbstractDoubleFloat () |
| virtual XMLCh * | getRawData () const |
| Return string representation of the decimal value. | |
| virtual const XMLCh * | getFormattedString () const |
| Return the original and converted value of the original data. | |
| virtual int | getSign () const |
| Returns the sign of this number. | |
| MemoryManager * | getMemoryManager () const |
| bool | isDataConverted () const |
| bool | isDataOverflowed () const |
| double | getValue () const |
| LiteralType | getType () const |
Static Public Member Functions | |
| static XMLCh * | getCanonicalRepresentation (const XMLCh *const rawData, MemoryManager *const memMgr=XMLPlatformUtils::fgMemoryManager) |
| static void | normalizeDecimalPoint (char *const toNormal) |
Protected Member Functions | |
| XMLAbstractDoubleFloat (MemoryManager *const manager=XMLPlatformUtils::fgMemoryManager) | |
| void | init (const XMLCh *const strValue) |
| virtual void | checkBoundary (char *const strValue)=0 |
| void | convert (char *const strValue) |
Static Protected Member Functions | |
| static int | compareValues (const XMLAbstractDoubleFloat *const lValue, const XMLAbstractDoubleFloat *const rValue, MemoryManager *const manager) |
| Compares this object to the specified object. | |
Protected Attributes | |
| double | fValue |
| LiteralType | fType |
| bool | fDataConverted |
| bool | fDataOverflowed |
| virtual XMLAbstractDoubleFloat::~XMLAbstractDoubleFloat | ( | ) | [virtual] |
| XMLAbstractDoubleFloat::XMLAbstractDoubleFloat | ( | MemoryManager *const | manager = XMLPlatformUtils::fgMemoryManager |
) | [protected] |
| static XMLCh* XMLAbstractDoubleFloat::getCanonicalRepresentation | ( | const XMLCh *const | rawData, | |
| MemoryManager *const | memMgr = XMLPlatformUtils::fgMemoryManager | |||
| ) | [static] |
| virtual XMLCh* XMLAbstractDoubleFloat::getRawData | ( | ) | const [virtual] |
Return string representation of the decimal value.
A decimal point will be included as necessary. Similar to toString above, but the internal buffer is returned directly, user is not required to delete the returned buffer
Implements XMLNumber.
| virtual const XMLCh* XMLAbstractDoubleFloat::getFormattedString | ( | ) | const [virtual] |
Return the original and converted value of the original data.
(applicable to double/float)
The internal buffer is returned directly, user is not required to delete the returned buffer
Implements XMLNumber.
| virtual int XMLAbstractDoubleFloat::getSign | ( | ) | const [virtual] |
| MemoryManager * XMLAbstractDoubleFloat::getMemoryManager | ( | ) | const |
Referenced by XMLFloat::compareValues(), and XMLDouble::compareValues().
| bool XMLAbstractDoubleFloat::isDataConverted | ( | ) | const |
References fDataConverted.
| bool XMLAbstractDoubleFloat::isDataOverflowed | ( | ) | const |
References fDataOverflowed.
| double XMLAbstractDoubleFloat::getValue | ( | ) | const |
References fValue.
| XMLAbstractDoubleFloat::LiteralType XMLAbstractDoubleFloat::getType | ( | ) | const |
References fType.
| static void XMLAbstractDoubleFloat::normalizeDecimalPoint | ( | char *const | toNormal | ) | [static] |
| void XMLAbstractDoubleFloat::init | ( | const XMLCh *const | strValue | ) | [protected] |
| static int XMLAbstractDoubleFloat::compareValues | ( | const XMLAbstractDoubleFloat *const | lValue, | |
| const XMLAbstractDoubleFloat *const | rValue, | |||
| MemoryManager *const | manager | |||
| ) | [static, protected] |
Compares this object to the specified object.
The result is true
if and only if the argument is not null
and is an XMLAbstractDoubleFloat
object that contains the same int
value as this object.
| lValue | the object to compare with. | |
| rValue | the object to compare against. | |
| manager | The MemoryManager to use to allocate objects |
true
if the objects are the same; false
otherwise. Referenced by XMLFloat::compareValues(), and XMLDouble::compareValues().
| virtual void XMLAbstractDoubleFloat::checkBoundary | ( | char *const | strValue | ) | [protected, pure virtual] |
| void XMLAbstractDoubleFloat::convert | ( | char *const | strValue | ) | [protected] |
double XMLAbstractDoubleFloat::fValue [protected] |
Referenced by getValue().
LiteralType XMLAbstractDoubleFloat::fType [protected] |
Referenced by getType().
bool XMLAbstractDoubleFloat::fDataConverted [protected] |
Referenced by isDataConverted().
bool XMLAbstractDoubleFloat::fDataOverflowed [protected] |
Referenced by isDataOverflowed().


2004
Montana Women’s Cycling Series
"The races to try if you have ever considered
racing"
A race series specifically geared toward the entry level Category 4 Rider
RACE
DATES: May 1
(Sat) Highlands Road Race Butte May 8
(Sat) Flathead Road Race Whitefish June 20
(Sun) Rapelje Road Race Billings July 25
(Sun) Cow
Country Classic Helena
Sponsored by:
Great Divide Cyclery
Great Divide Cycling Team
Montana Bicycle Racing Association
Flathead Cycling Team
Questions:
Call Gwen Sensenig, Great Divide Cycling Team<PHONE_NUMBER>


Resource Cost
Development Team
| Name | Position | Annual Salary | Months | Cost |
|---|---|---|---|---|
| Grand Total Cost | $N/Ak | |||
| N/A | Tech & Art Director | $N/Ak | N/A | $N/Ak |
| N/A | Producer/ Designer | $N/Ak | N/A | $N/Ak |
| N/A | Product Manager/ Lead Tester | $N/Ak | N/A | $N/Ak |
Hardware
| Item | Number | Cost | Combined |
|---|---|---|---|
| Total Cost | $N/A | ||
| Workstation | 3 | $N/A | $N/A |
Software
| Item | Number | Cost | Combined |
|---|---|---|---|
| Total Cost | $N/A | ||
| Unity 3D | ? | $N/A | $N/A |
| 3DS Max | ? | $N/A | $N/A |


Interesting links¶
This page is a compilation of links I found interesting while learning Python and while solving everyday problems in project management and maintenance, and of course scientific computing. As I keep on learning this list evolves continuously :-)
“the most dangerous thought you can have as a creative person, is that you know what you are doing.” Bret Victor - The Future of Programming.
For Beginners¶
Python as a language¶
Python is known for being a language that’s easy to read, quick to develop in, and applicable to a wide range of scenarios
How long did it take you to learn Python Wait, don’t answer that. It doesn’t matter. Ned Batchelder
Software engineering¶
What scientists must know about hardware to write fast code A simplified view - but not over-simplified - on how hardware affects performance. Written with Julia in mind rather than Python, but the principles remain valid.
Python for HPC¶
Here’s a list of approaches that rely on low-lever programming languages, as C, C++ and Fortran, for speeding up Python (sequential) code. Some of these approaches, e.g. Numba rely on automatic code transformation from Python, so there is no need to write low-level code yourself.
Approaches mimicking or wrapping OpenMP and MPI:
Pymp – OpenMP-like Python Programming A really interesting concept, not as efficient as OpenMP itself (which incurs quite a bit of overhead itself), and, of course, limited to a single node. As the number of cores per node keeps increasing, pymp may be a good solution for problems that can do with a single node.
High performance Python 4 Mpi4py, doing mpi from Python.
Other parallel processing approaches:
GPU
Concepts and ideas:
Does it ever make sense to use more concurrent processes than processor cores? You can have as many threads as you want as long as they’re doing nothing.
Code modernization¶
Profiling¶
Resource monitoring¶
Python idioms and readability¶
Practical decorators Reuven Lerner
Passing Exceptions 101 Paradigms in Error Handling - PyCon 2017
Modern Python Dictionaries: A confluence of a dozen great ideas - PyCon 2017
When Python Practices Go Wrong About the use of exec() and eval(). A presentation, so, the logic isn`t always obvious, but definitely an interesting topic. Here’s the corresponding video When Python Practices Go Wrong - Brandon Rhodes - code::dive 2019
Learn something new about Python every day in less than 1 minute
Useful packages¶
Exceptions¶
Type checking in Python¶
Design patterns¶
Testing¶
tox nox and invoke Break the Cycle: Three excellent Python tools to automate repetitive tasks
Beyond Unit Tests: Taking Your Testing to the Next Level - PyCon 2018
“WHAT IS THIS MESS?” - Writing tests for pre-existing code bases - PyCon 2018
Property-based tests for the Python standard library (and builtins)
The Clean Architecture in Python - How to write testable and flexible code
15 amazing pytest plugins and more (an episode on an interesting blog).
Property-Based Testing with hypothesis, and associated use cases
Learning Python Test Automation These days, there’s a wealth of great content on Python testing. Here’s a brief reference to help you get started.
Logging¶
Profiling¶
Scientific Python¶
Machine learning and datascience¶
CLIs and scripting¶
Packaging¶
Graphics¶
Installing packages¶
Tools¶
IPython and Jupyter in Depth: High productivity, interactive Python Matthias Bussonier
Life Is Better Painted Black, or: How to Stop Worrying and Embrace Auto-Formatting
Using GitHub, Travis CI, and Python to Introduce Collaborative Software Development - PyCon 2018
Understanding Best Practice Python Tooling by Comparing Popular Project Templates
Deep dive into how pyenv actually works by leveraging the shim design pattern
How to automatically set up a development machine with Ansible
git and other VCS
Development environment, developement workflow¶
pyenv+poetry+pipx <https://jacobian.org/2019/nov/11/python-environment-2020/>
https://pypi.org/project/create-python-package/ a micc ‘light’
How to Set Up a Python Project For Automation and Collaboration
Blazing fast CI with GitHub Actions, Poetry, Black and Pytest
Rewriting your git history, removing files permanently - cheatsheet & guide
How to Set Environment Variables in Linux and Mac: The Missing Manual
Problem solving¶
Documentation¶
Django¶
Fortran/C/C++ Syntax¶
Compilers¶
Notebooks¶
Windows¶
Using WSL to Build a Python Development Environment on Windows This is promising: maybe we finally have a an environment on Windows with a minimal difference from Linux an MacOSX.
Programming blogs¶
QUOTES¶
“The code you write makes you a programmer. The code you delete makes you a good one. The code you don’t have to write makes you a great one.” - Mario Fusco
“It’s hard enough to find an error in your code when you’re looking for it; it’s even harder when you’ve assumed your code is error-free.” - Steve McConnell


About
ValPHL explores Philadelphia property data organized by block using the Philadelphia Property Data API.
Usage
Press on the map to drop a pin or type an address in the search bar to look for property data from that block.
Tap the folder icon to browse through a list of blocks you've saved; tap the + icon to search more blocks.
License
I am not affiliated with the Office of Property Assessment or the City of Philadelphia. The Property Data API license requires the following attribution:
This product uses a City of Philadelphia Data API but is not endorsed or certified by the City of Philadelphia.
More
Visit www.kellyinnes.com/valphl for additional info and technical support!


Video.js plugin integration examples.
This video should autoplay based on plugin.
Video Playback Not Supported
This video should not autoplay based on plugin.


Cache Valley Simulator
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Bootstrap starter template
<<<<<<< HEAD
Option 1
Option 2
=======
Should never see me.
Option 1
Option 2
>>>>>>> 465fab4a5cb5b9d3b7e14bdbbf7fa7f638486bdd


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Before Change
raise
try:
distance_sensor.DistanceSensor.__init__(self)
except Exception as e:
print(e)
raise IOError("Distance Sensor not found")
self.mutex = None
if use_mutex is True:
self.mutex = Mutex()
self.set_descriptor("Distance Sensor")
// Returns the values in cms
After Change
All imports are done internally so it"s done on a as needed basis only
as in many cases the DHT sensor is not connected.
"""
def __init__(self, port="SERIAL",gpg=None, sensor_type=0):
try:
Sensor.__init__(self,port,"INPUT",gpg)
except:
raise
try:
import threading
self.sensor_type = sensor_type
// here we keep the temperature values after removing outliers
self.filtered_temperature = []
// here we keep the filtered humidity values after removing the outliers
self.filtered_humidity = []
// we are using an event so we can close the thread as soon as KeyboardInterrupt is raised
self.event = threading.Event()
if self.sensor_type == 0:
self.set_descriptor("Blue DHT Sensor")
else:
self.set_descriptor("White DHT Sensor")


| /// File Name: |
webcalendar.txt |
Description:
|
The PHP application WebCalendar is susceptible to cross site scripting, http response splitting, code execution, path disclosure, and privilege escalation vulnerabilities.
| | Author: | Joxean Koret | | File Size: | 6010 | | Last Modified: | Nov 12 04:39:06 2004 |
| MD5 Checksum: | f852aff719048217be25181fe7b04d22 |
|


SleepZone
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Marseille Marathon
Marseille FRA
Website: www.marseillemarathon.fr
Race Winners
(27 runnings)
25 Mar
2012 2:15:10 3:11:14
17
Apr 2011 2:19:39 2:54:18 18
Apr 2010 2:35:41 3:15:34 26
Apr 2009 2:25:57 3:10:37 2004-2008
---
---
23 Mar 2003
2:12:06
2:37:52
2001-2002
---
---
01 Jun
2000
2:30:26
3:01:15
16 May
1999
2:18:38
2:40:27
1994-1998
---
---
11 Apr
1993
2:38:39
3:19:41
26 Apr
1992
2:36:00 ---
28 Apr
1991
2:19:10
2:55:24 29 Apr
1990
2:17:45
2:53:41
30 Apr
1989
2:15:20
2:43:12
17 Apr
1988
2:14:32
2:45:38
26 Apr 1987
2:23:46
2:46:58
13 Apr 1986
2:18:50
2:38:01
14 Apr 1985
2:14:22
2:37:56
11 Mar 1984
2:17:50
3:07:25
1979-1983
---
---
23 Apr 1978
2:28:51
4:03:00
24 Apr 1977
2:29:25
3:35:18
25 Apr 1976
2:30:06
3:38:16
27 Apr 1975
2:30:18
n/a
14 Apr 1974
2:26:42.8
4:26:50
Notes: 1974 was the inaugural year. This race was known as the Marathon de Provence for 1974-1978.
19 Mar
2017
2:24:21
James Emuria (KEN)
2:50:36
Aline Camboulives (FRA)
20 Mar
2016
2:51:29
Laurant Rachard (FRA)
3:17:24
Viola-Veronique Walther
(FRA)
15 Mar
2015
2:16:14
Stanley Bett Kiprotich
(KEN)
3:18:55
Pauline Purro (SUI)
14 Sep
2014
2:13:50
Bellor Yator (QAT)
3:26:33
Nihama Sitruk (FRA)
24 Mar
2013
2:19:22
Martin Kiprugut Kosgei
(KEN)
3:02:49
Elaine Coburn (CAN)
Desta Beriso Morhama (ETH)
Alice Olivier (FRA)
Benoit Zwierzchiewski-2
Léopoldina Silvera (FRA)
Dan Karibou Malam (NIG)
Doris Brettmann (GER)
Benoit Zwierzchiewski (FRA)
Aude Kienzler (FRA)
not held
not held
Patrick Chumba (KEN)
Tatyana Hladyr (UKR)
probably not held
probably not held
Ruslan Suhodolschi (RUS)
Helena Masseva (RUS)
Said Belaout (ALG)
Natalia Solominskaya (RUS)
probably not held
probably not held
nfn Ferrin (FRA)
nfn Ugazzi (FRA)
Jacques Guerin (FRA)
n/a
Daniel Herlem-2
Sylvie Laville (FRA)
Daniel Herlem (FRA)
Eniko Feher-2
Mohamed Salmi (MAR)
Brigitte Olive (FRA)
Patrick Clabaut (FRA)
Eniko Feher (HUN)
Jean-Louis Alcaide (FRA)
Dominique Rembert (FRA)
Renè Devos (BEL)
Agnes Pardaens (BEL)
José Revejin (BEL)
Jocelyne Villeton (FRA)
Christian Geffray (FRA)
Fabienne Berenger (FRA)
not held
not held
Sylvain Cacciatore-2
R Herraiz (FRA)
Renato Graca (POR)
Josiane Valenti-4
Guy Laugier (FRA)
Josiane Valenti-3
Sylvain Cacciatore (FRA)
Josiane Valenti-2
Luciano Acquarone (ITA)
Josiane Valenti (FRA)
Most Wins (1974/date)
Men 2
Sylvain Cacciatore (FRA)
1975,1978
.
Daniel Herlem (FRA)
1990-91
Benoit Zwierzchiewski (FRA)
2009,2011
Women
4
Josiane Valenti (FRA)
1974-77
Prize Money
(ARRS qualified runners)
Year Men Women Total 2003 $16,145 $12,915 $29,060 Race Time Bias (sec/km)
Year Men Women 2003 +0.3 +6.0
Competitive Level (1990-date)
Year Men Women 2013 109 n/c .... 2003 275 269
Quality Performances
Men <2:13 3 <2:14 4 <2:15 7 <2:16 13 <2:17 20 <2:18 31 <2:19 36 <2:20 49
Women <2:38 2 <2:40 3 <2:42 6 <2:44 9 <2:46 15 <2:48 19 <2:50 20
Last Updated on 21 Mar 2017
Contributors: Franco Civai (23), Thierry Lefeuvre (24), Klaas Loonstra (12)


QuickBox:
Development:
Maintenance:
Geodata:
Server Software:
Running L2J created by L2Chef and the L2J team.
www.l2jserver.com
for details.


freedom mode is when enemies are in the game. there are bosses and there is a big space to play on. arena mode is when there is a very limited space,you can toggle enemies on/off and bosses. it is made for multiplayer mini-games. challenge mode is a lot what it sounds like.loads of bosses,it is made for experts.there are a lot of enemies,and cool drops can be common.(you will be able to toggle it off/on)practice is basically the opposite.made for people who find the game hard. you can also toggle stuff like enimies on/off
beginner (1) is easiest. infinity(8)is hardest. enemies get stronger and smarter as the difficulty increases.this is a list. 1=beginner 2=apprentice 3=intermediate 4=advanced 5=expert 6=master 7=hardcore and 8+=infinity
more levels will appear, but the first 2 will be the start, and the plains will appear in 1.0.0 there will be more levels in 1.1.0
| level | description | version |
|---|---|---|
| the start | easiest level.this should be the first level you do. | 1.0.0 |
| the plains | explore the grassland! | 1.0.5 |
| the mountains | climb the mountains! | 1.1.0 (coming soon) |
| The elder's tale | be in the fairy tale! | 1.1.1 (coming soon) |
| the city | welcome to town! | 1.1.2 (coming soon) |
| christmas | merry christmas! | 1.1.4 (coming soon) |
| the volcanoes | watch out for the lava! | 1.1.5 (coming soon) |
| The tropics | enjoy a tropical climate | 1.1.7 (coming soon) |
| The jungle | Find the jungle temple | 1.1.8 |


Nesciunt tofu stumptown aliqua, retro synth master cleanse. Reprehenderit butcher retro keffiyeh dreamcatcher synth terry richardsoAustin.
Nesciunt tofu stumptown aliqua, retro synth master cleanse. Mustache cliche tempor, williamsburg carles vegan helvetica.prehenderit butcher retro keffiyeh dreamcatcher synth. Cosby Reprehenderit butcher retro keffiyeh dreamcatcher synth. Cosby sweater eu banh mi, qui irure squid.Raw denim you probably haven't heard of them jean shorts Austin.
Raw denim you probably haven't heard of them jean shorts Austin. Nesciunt tofu stumptown aliqua, retro synth master cleanse. Reprehenderit butcher retro keffiyeh dreamcatcher synth terry richardsoAustin. Nesciunt tofu stumptown aliqua, retro synth master cleanse.
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Cosby Reprehenderit butcher retro keffiyeh dreamcatcher synth. Cosby sweater eu banh mi, qui irure terry richardson ex squid.Raw denim you probably haven't heard of them jean shorts Austin. Nesciunt tofu stumptown aliqua, retro synth master cleanse.
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Tight pants next level keffiyeh you probably haven't heard of fixie sustainable quinoa 8-bit american apparel have a terry richardson vinyl chambray. Beard stumptown, cardigans banh mi lomo thundercats. whatever keytar , scenester farm-to-table banksy Austin twitter handle freegan cred raw denim single-origin coffee viral.
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SUV |
|||
|
A sport utility vehicle or suburban utility vehicle (SUV) is a vehicle classified as a light truck, but operated as a family vehicle. They are similar to a large station wagon or estate car, usually equipped with four-wheel drive for on- or off-road ability. Some SUVs include the towing capacity of a pickup truck with the passenger-carrying space of a minivan or large sedan. Popular in the late-1990s and early–mid-2000s, SUVs sales temporarily declined due to high oil prices and a declining economy. The traditional truck-based SUV is gradually being supplanted by the crossover SUV, which uses an automobile platform for lighter weight and better fuel efficiency. By 2010, SUV sales around the world were growing, in spite of high gas prices. |
|||
Seat Availability4-8 people |
Number of Doors5 |
IIHS Crashworthiness RatingExcellent |


Home
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{"Important: Only install apps or themes from trusted sources."}
{"Also note that Github limits you to installing one app per hour."}
{"Note: Installing from links has been disabled because the PHP cURL extension is missing."}
{% else %}{"Link to a zip file or Github repository"} (ex: https://github.com/user/project.git):
{" The link appears to be invalid. "}
- {"or"} -
{% end %}{"Upload a zip file"}:
{" Please upload a zip file. "}
{" Please enter a link or upload a file. "}
{% if page.installer_error %}{"Github installation failed"}: {{ page.installer_error }}
{"Zip file installation failed"}: {{ page.installer_error }}
{% else %}{"Github installation failed"}.
{"Zip file was invalid or could not be installed."}
{% end %}{"Please wait, this may take a minute..."}


Usage Summary Graph: 27 Oct 2008 - Today for your current monthly billing period which ends on: 26 Nov 2008
0
4
8
12
16
20
24
28
32
36
40
44
48
52
56
60
64
68
72
76
80
total GB used
You have used 22.43 GB
which is 56% of your monthly traffic allocation. You have 17.57 GB left in your current monthly usage cycle.
Email Notification Address -<EMAIL_ADDRESS>This is the email address that you provided us, to send plan or usage type email notifications. If this address is not correct, please notify us.
Call TelstraClear to upgrade your plan.
Residential customers call 0508 888-800 and Business customers call 0508 555-500.
Please have your account number ready.
This usage meter provides an estimate of your usage only and may be running up to 6 hours behind. This meter includes your upstream and downstream traffic but will not include any usage via any ISP other than your TelstraClear ISP.


jQuery Wheel Menu by Pete R.
Add a fully customisable Path-like wheel menu button to your website
Created by
Pete R.
, Founder of
BucketListly
+
Hover me
A
B
C
D
E
F
G
H
I
J
Download on Github
+
A
B
C
D
+
A
B
C
D


About...
Hello' I'm an extremely driven and creative Full Stack Developer who is currently open for career opportunities as a front-end or back-end web developer in the Greater Seattle Area
I'm a recent graduate of Coding Dojo, a coding school located in Bellevue; WA that teaches 3 full stacks in 3 months I'm capable of learning new technologies very quickly, and am always looking for opportunities to further expand my skills and grow as a developer.
Continue reading...


Week 12 NFL best bets: A number we like on each game
by ESPN Betting InsidersEach Friday during the NFL season, ESPN betting analysts Joe Fortenbaugh and Doug Kezirian, sports betting deputy editor David Bearman, Fantasy's Mike Clay and Matt Youmans of the Vegas Stats & Information Network will tell us what they like from Sunday's NFL slate.
Season ATS (against the spread) records:
Fortenbaugh 2-2 (23-21-1 on season)
Youmans 2-1 (22-16-1)
Kezirian 0-2 (11-17-1)
Bearman 2-0 (11-11-1)
Clay 3-0 (17-7)
Preston Johnson 1-2 (14-20-1)
Note: Caesars Sportsbook lines displayed as of Thursday; all times Eastern. Picks on lines available at time of posting.
1 p.m. games
Carolina Panthers at New Orleans Saints (-9.5, 47)
Bearman: With their pasting of the Buccaneers last week, the Saints proved the Week 10 loss to Atlanta was an aberration. After struggling to come up with any offense in the loss to the Falcons, Drew Brees and company had no issues in Tampa, jumping out to a 20-0 lead 25 minutes into the game. In all, the Saints have covered seven of the past eight games, and their past three wins were by double figures.


$recipe.getName()
You can make $maxservings servings, at a cost of $ $drinkcost per drink. Don't forget an extra one for me, I'm definitely coming over!
#if($notenough)
Hey, you don't have enough ingredients!
Go and buy more $limitingItem.getName() to make these.
Update Inventory
#end


About the author¶
The Algo Trading Learning Repo was primarily developed by Angel Woo, Lee Kwanyoung
and Snow Wu, who are undergraduate students majoring in Computer Science
at the University of Hong Kong, under the supervision of Dr. Ruibang Luo.
Visit this website to learn more about the project.
Being a group of female undergraduate students 👩🏻, we advocate the initiative of #WomenInTech,
and we create resources in hopes of assisting other females to too get a tech career opportunity
in finance companies.
Are you also a female who is interested in working on Tech & Finance? Here are some
good articles to understand more and get yourself involved in the community:
And more to be updated…


This is sfxr.js, a sound effects generator for video games. The code was originally http://www.drpetter.se/project_sfxr.html and was ported to JavaScript using the Web Audio API for Everything but Internet Explorer. The UI is just a quick hack, and if you'd like to make it look better, we'd be happy for the patch!
You can choose a predefined sound below, then play it, mutate it (change it just a bit), or generate a .wav file from it. You can also alter the various aspects of the sound using the advanced settings below. The current sound will be "saved" on the URL as a string in the form sound=..., and you can share this or bookmark it for later.


Wiki¶
A Wiki page requires a title, markdown and an owner object and can also include images.
Creating a Wiki¶
from synapseclient import Wiki
entity = syn.get('syn123456')
content = """
# My Wiki Page
Here is a description of my **fantastic** project!
An attached image:
${image?fileName=logo.png&align=none}
"""
wiki = Wiki(title='My Wiki Page',
owner=entity,
markdown=content,
attachments=['/path/to/logo.png'])
wiki = syn.store(wiki)
Embedding images¶
Note that in the above example, we’ve attached a logo graphic and embedded it in the web page.
Figures that are more than just decoration can be stored as Synapse entities allowing versioning and provenance information to be recorded. This is a better choice for figures with data behind them.
Updating a Wiki¶
entity = syn.get('syn123456')
wiki = syn.getWiki(entity)
wiki.markdown = """
# My Wiki Page
Here is a description of my **fantastic** project! Let's
*emphasize* the important stuff.
An embedded image that is also a Synapse entity:
${image?synapseId=syn1824434&align=None&scale=66}
Now we can track it's provenance and keep multiple versions.
"""
wiki = syn.store(wiki)
Wiki Class¶
- class synapseclient.wiki.Wiki(**kwargs)¶
Represents a wiki page in Synapse with content specified in markdown.
- Parameters
title – Title of the Wiki
owner – Parent Entity that the Wiki will belong to
markdown – Content of the Wiki (cannot be defined if markdownFile is defined)
markdownFile – Path to file which contains the Content of Wiki (cannot be defined if markdown is defined)
attachments – List of paths to files to attach
fileHandles – List of file handle IDs representing files to be attached
parentWikiId – (optional) For sub-pages, specify parent wiki page
- __init__(**kwargs)¶


Education
Master of Science in Robotics at Northwestern University
Bachelor of Science in Mechanical Engineering in Purdue University
Bachelor of Science in Theoretical and Applied Mechanics at Sun Yat-sen University
Skills
C/C++, Python, HTML, ROS, Linux OS, OpenCV, PCL, etc.
Research Interest
Visual SLAM, human motion capture and planning, 3D model reconstruction
Work Experience
Algorithm Engineer for AGV SLAM
Hobbies
Animation, Comics, Cosplay


WITNESS LIST
Health Care Education & Training, Select Committee
September 16, 2014 - 10:00 AM
The mental health care workforce in Texas
On:
Brazeal, Kaye (Coalition of Nurses in Advanced Practice and the Houston area association of
Psychiatric Nurse Practitioner)
Clearman, Robin (Texas Occupational Therapy Association)
Cline, Christie (Meadows Mental Health Policy Institute)
Dang, Vivian (DeBakey High School)
Dawson, Betty (Texas Association of Psychological Associates)
De Los Santos, Florence (Houston Community College-Coleman)
Edwards, Michael (Houston Community College Coleman College for Health Sciences)
Endley, Shubhra (National Association of Social Workers-TX Chapter)
Friese, Jan (Texas Counseling Association)
Gaines, Sonja (Sonja Gaines-HHSC)
Glaser, Robert (Houston Community College System)
Harper, Andrew (Federation of Texas Psychiatry + Texas Medical Assoc.)
Herfarth, Wanda (Self; Registered Nurse; CNA Director)
Horton, Colleen (Hogg Foundation for Mental Health)
Hunter, Judith (Metrocare Services)
Kelly, Bill (Mental Health America of Greater Houston)
Lacefield, Lauren (Dept of State Health Services)
Mitra-Behura, Simantini (DeBakey HSHP)
Mooney, Megan (Texas Pyschological Association)
Muzquiz-Drummond, Sylvia (TX Council for CMHC)
Rosing, Richard (Houston Community College Human Service Technology Program)
Scott, Mark (Texas AHEC East-Piney Woods Region)
Shenoi, Rachel (Debakey High School for Health Professions)
Walts, Taylor (DeBakey High School for Health Professions)
Wilson, Dave (Houston Community College Dist 2)
Registering, but not testifying:
On:
Noble, Arthur (Houston Community College)
1


RAM Hacks has a new website! Please visit
uri.edu/ramhacks for updated information starting Fall 2020. This website will be retired soon.
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News and Events
Growing Asian Businesses, Developing Asian Markets
Monday, 30th March 2015
Asia Triennial presents “Growing Asian Businesses, Developing Asian Markets” a keynote speech by entrepreneur and philanthropist Peter Virdee. This event will focus on celebrating the Asian business community within Manchester along with inspiring those within the community.
Postgraduate Course Fair
Wednesday, 3rd June 2015
Asia Triennial presents “Growing Asian Businesses, Developing Asian Markets” a keynote speech by entrepreneur and philanthropist Peter Virdee. This event will focus on celebrating the Asian business community within Manchester along with inspiring those within the community.
Undergraduate Open Day
Wednesday, 24th June 2015
If you are interested in studying a course within our department then open days are the perfect way to find information on courses; meet current students and staff and take tours of the facilities, you will have access to if you choose to study with us. Along with this, you will also have the ability to find information on how to apply; personal statement issues and student finance.
Metadata and Semantics Research Conference (9th)
Wednesday, 9th September 2015 – Friday, 11th September 2015
The Metadata and Semantics Research Conference will continue its previous success for its ninth instalment. This conference focuses on combining scholars and practitioners that share common interests in the field of metadata, semantics, linked data and ontologies. The participants of this event will share knowledge and best practises regarding information environments and applications. Such systems include Cultural Informatics; Open Access Repositories & Digital Libraries; E-learning applications; Search Engine Optimization & Information Retrieval; Research Information Systems and Infrastructures; e-Science and e-Social Science applications; Agriculture, Food and Environment; Bio-Health & Medical Information Systems.


I love cheese, especially airedale rubber cheese. Cottage cheese cheese triangles caerphilly edam squirty cheese danish fontina danish fontina goat. Cheese and wine manchego cheese and biscuits cow macaroni cheese parmesan squirty cheese taleggio. Cheddar cottage cheese gouda babybel mozzarella cheese and biscuits squirty cheese macaroni cheese. Cheesy grin cheesy grin fondue halloumi fromage edam cut the cheese the big cheese. Babybel monterey jack cheese strings cheese and biscuits monterey jack cheese strings swiss st. agur blue cheese. Camembert de normandie swiss pepper jack cheese and wine cheesy grin roquefort taleggio red leicester. Cheesecake.
Feta ricotta the big cheese. Fromage frais pecorino feta who moved my cheese bavarian bergkase bavarian bergkase melted cheese caerphilly. Lancashire melted cheese everyone loves fromage frais squirty cheese goat stilton parmesan. Jarlsberg cheese and biscuits the big cheese cauliflower cheese halloumi.
Fondue roquefort babybel. Cow stilton chalk and cheese macaroni cheese croque monsieur cheeseburger lancashire when the cheese comes out everybody's happy. Camembert de normandie emmental st. agur blue cheese smelly cheese cheese triangles cheese strings halloumi cut the cheese. Brie red leicester jarlsberg.
Cheesy grin cottage cheese dolcelatte. Cheese strings who moved my cheese fondue the big cheese bavarian bergkase cheesy feet everyone loves bocconcini. Boursin cheese triangles cheese slices stilton caerphilly monterey jack smelly cheese cheesy feet. St. agur blue cheese taleggio red leicester goat monterey jack swiss cottage cheese roquefort. Who moved my cheese fromage everyone loves fondue.
Taleggio monterey jack brie. Say cheese queso jarlsberg airedale st. agur blue cheese boursin cheesy feet st. agur blue cheese. Ricotta say cheese cheese and wine monterey jack blue castello pepper jack fromage frais the big cheese.  Boursin when the cheese comes out everybody's happy port-salut dolcelatte pepper jack edam cream cheese ricotta. Manchego pepper jack fromage frais pepper jack airedale cut the cheese cheddar taleggio. Cheddar mozzarella cheese and wine cheesy feet red leicester dolcelatte lancashire macaroni cheese. Lancashire pepper jack jarlsberg cheese strings gouda croque monsieur cheesecake.
Rubber cheese taleggio cheese and biscuits. Dolcelatte boursin macaroni cheese boursin fromage frais taleggio red leicester fondue. Camembert de normandie edam cheese triangles manchego hard cheese cauliflower cheese blue castello mozzarella. Blue castello mascarpone cheese slices danish fontina chalk and cheese queso brie mozzarella. Gouda say cheese croque monsieur.
Cheese strings goat croque monsieur. St. agur blue cheese cow boursin chalk and cheese feta airedale red leicester everyone loves. Say cheese edam stilton stinking bishop cheese slices cheese and biscuits bocconcini the big cheese. Fondue chalk and cheese cheeseburger jarlsberg croque monsieur bavarian bergkase.
Cheesy grin fromage frais dolcelatte. Chalk and cheese camembert de normandie cheesy grin red leicester pepper jack red leicester jarlsberg mozzarella. Hard cheese bavarian bergkase brie bocconcini blue castello jarlsberg squirty cheese cow. Cut the cheese when the cheese comes out everybody's happy bavarian bergkase dolcelatte.
Manchego fondue cottage cheese. Airedale melted cheese blue castello emmental squirty cheese cheesy feet lancashire bavarian bergkase. Cheese triangles macaroni cheese cow cheeseburger parmesan feta taleggio chalk and cheese. Pepper jack cheeseburger paneer squirty cheese babybel goat queso ricotta. Port-salut red leicester.
Who moved my cheese roquefort danish fontina. Chalk and cheese pecorino blue castello cottage cheese edam croque monsieur monterey jack melted cheese. Bocconcini cottage cheese croque monsieur danish fontina fromage say cheese stinking bishop taleggio. Cheeseburger cheddar taleggio monterey jack mozzarella cheeseburger smelly cheese hard cheese. Cheesecake gouda melted cheese macaroni cheese monterey jack rubber cheese smelly cheese babybel. Who moved my cheese pepper jack st. agur blue cheese parmesan cauliflower cheese the big cheese squirty cheese fondue. Cottage cheese ricotta ricotta squirty cheese swiss squirty cheese croque monsieur mascarpone. Cheese triangles camembert de normandie fromage frais.
Boursin dolcelatte lancashire. Halloumi hard cheese roquefort the big cheese dolcelatte cheesecake croque monsieur say cheese. Cheesy feet cheese on toast cheese on toast cauliflower cheese babybel say cheese cheese slices mascarpone. Cheesy grin emmental.
Cheesy feet cheese triangles camembert de normandie. Brie boursin stinking bishop cream cheese cottage cheese croque monsieur bocconcini gouda. Manchego bocconcini cream cheese blue castello cheese slices cheese on toast taleggio everyone loves. Lancashire gouda cheesy grin manchego.
Chalk and cheese macaroni cheese babybel. Danish fontina cow edam edam roquefort cheesecake bavarian bergkase cheesecake. Queso cheeseburger caerphilly the big cheese when the cheese comes out everybody's happy cream cheese mascarpone bavarian bergkase. Cheesy grin cow mozzarella port-salut cheese strings pepper jack.
Cheese slices macaroni cheese cheese and biscuits. Edam taleggio feta swiss parmesan the big cheese danish fontina lancashire. Paneer the big cheese cottage cheese stilton dolcelatte macaroni cheese fromage frais gouda. Feta cottage cheese st. agur blue cheese chalk and cheese port-salut babybel cheese triangles smelly cheese. Gouda cheddar chalk and cheese feta stilton babybel fromage frais edam. Cheese and biscuits croque monsieur fromage frais the big cheese port-salut danish fontina manchego queso. Melted cheese dolcelatte feta cut the cheese edam rubber cheese.
Blue castello everyone loves cheesy feet. St. agur blue cheese cut the cheese stinking bishop swiss bocconcini lancashire cheese triangles dolcelatte. Cauliflower cheese cheesecake melted cheese swiss mozzarella cottage cheese caerphilly cheddar. Fondue.
Bocconcini queso fromage. When the cheese comes out everybody's happy bavarian bergkase roquefort cauliflower cheese cheddar goat cheese slices dolcelatte. Manchego cheeseburger fromage frais airedale cow everyone loves taleggio cheesy feet. Bocconcini halloumi fromage frais.
Cheese slices macaroni cheese cheese and biscuits. Edam taleggio feta swiss parmesan the big cheese danish fontina lancashire. Paneer the big cheese cottage cheese stilton dolcelatte macaroni cheese fromage frais gouda. Feta cottage cheese st. agur blue cheese chalk and cheese port-salut babybel cheese triangles smelly cheese. Gouda cheddar chalk and cheese feta stilton babybel fromage frais edam. Cheese and biscuits croque monsieur fromage frais the big cheese port-salut danish fontina manchego queso. Melted cheese dolcelatte feta cut the cheese edam rubber cheese.
Cottage cheese dolcelatte macaroni cheese. Port-salut squirty cheese ricotta cheese and biscuits cheesecake mozzarella blue castello dolcelatte. Queso rubber cheese stinking bishop paneer cheese and biscuits boursin who moved my cheese cheeseburger. Cauliflower cheese queso melted cheese cheeseburger.
Queso hard cheese jarlsberg. Rubber cheese cheese on toast paneer babybel say cheese cheeseburger halloumi when the cheese comes out everybody's happy. Camembert de normandie st. agur blue cheese blue castello monterey jack ricotta babybel manchego pepper jack. Cheese triangles halloumi cheesecake cheese and wine lancashire cheese on toast cheesy grin everyone loves. Cheesy feet.
Boursin fromage squirty cheese.  Macaroni cheese paneer babybel paneer everyone loves edam cut the cheese manchego. Cheese triangles brie lancashire cheese triangles halloumi say cheese taleggio gouda. Say cheese fromage cottage cheese.


Using Boundaries
Position matching is used to specify where within a string of text a match should occur. To understand the need for position matching, consider the following example:
The cat scattered his food all over the room.
cat
The cat scattered his food all over the room.
The pattern cat matches all occurrences of cat, even cat within the word scattered. This may, in fact, be the desired outcome, but more than likely it is not. If you were performing the search to replace all occurrences of cat with dog, you would end up with the following nonsense:
The dog sdogtered his food all over the room.
That brings us to the use of boundaries, or special metacharacters used to specify the position (or boundary) before or after a pattern.
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The PCMCIA Smart Card
Driver is used for the SCM PCMCIA smart card reader.
This driver implements
Plug and Play and Power Management and is compliant with 64-bit versions of
Microsoft® Windows®.
To build the Pscr.sys
driver, select either the checked or free DDK environment, navigate to the
Bulltlp3 directory, and type build. This driver uses services
provided by the smart card driver library (Smclib.sys), which are explained in
detail in the accompanying documentation.
To install the driver,
simply insert the smart card reader into a PCMCIA slot. The Found New Hardware
wizard will appear. You will need to provide the INF file (on a disk) and the
driver file, which will be copied to your System32\Drivers directory. The
driver will start automatically. To stop the driver, either eject the reader or
select the appropriate taskbar icon. The driver will not unload as long as you
have Ifdtest.exe running and connected to the driver.
Microsoft offers a test
tool (Ifdtest.exe) that allows you to use a smart card reader directly from the
command line. Normally, the smart card resource manager is connected to a
reader. To use Ifdtest.exe, you must stop the smart card resource manager
(Scardsvr.exe) by typing net stop scardsvr at the command line.
Ifdtest.exe is also used for the smart card reader logo test.
You can download
Ifdtest.exe from http://www.microsoft.com/whdc/whql/default.mspx by following the links for smart
cards. You need to order special test smart cards to have your smart card
reader qualify for the "Designed for Windows" logo. You can find
ordering information at http://www.microsoft.com/whdc/whql/default.mspx.
ISO 7816 Part 3 describes
smart cards and smart card protocols in detail. Refer to the PC99 Handbook for
smart card reader requirements.
Files Description
PSCR.HTM The documentation for this sample (this file).
PSCR.RC Resource definition file for driver.
SOURCES The generic file for building the code sample.
MAKEFILE Makefile required to build the driver.
PSCR.INF The INF file for installing the code sample.
PSCRCB.C Source file that contains the callback functions for the smart card library.
PSCRCB.H Function prototypes for the previous file.
PSCRCMD.C Implements the reader commands.
PSCRCMD.H Function prototypes for the previous file.
PSCRLOG.MC Error messages for this driver.
PSCRNT.C The main source file (load, unload, Plug and Play, Power Management).
PSCRNT.H Data definitions and prototypes for the previous file.
PSCRRDWR.C Implements read/write operations.
PSCRRDWR.H Data definitions and constant definitions for this reader.
PSCRVERS.H Driver-specific version information.
The major topics covered in this
tour are:
Plug and Play
With PCMCIA, Plug and Play is
fairly easy to implement, because the PCMCIA bus supports device insertion and
removal detection by design. However, when a user removes a PCMCIA card from
the slot, an application may still be connected to the device. You should fail
all subsequent requests, but you need to prevent the driver from unloading
while the connection still exists. Defer unloading of the driver until the
connection has been closed.
Power Management
Power Management is described in
detail in the DDK documentation. There is, however, one situation that is
specific to smart card readers: how to deal with smart card insertions and
removals while the system is in standby or hibernation mode.
Your reader will not see any card
insertion or removal events in these modes, because the bus might not even have
power. You must save the card state before your reader goes into standby or
hibernation mode. After the system returns from these modes, you need to determine
what the state of the card is. You must complete card tracking calls whenever
there was a card in the reader before standby or hibernation mode or
whenever there is a card in the reader after these modes. This step is
necessary because the user could have changed the card while the system was in
a low-power mode.
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© 2004 Microsoft
Corporation