import cloudpickle
import pyro
from pyro.params import module_from_param_with_module_name, user_param_name
[docs]class PyroOptim(object):
"""
A wrapper for torch.optim.Optimizer objects that helps managing with dynamically generated parameters
:param optim_constructor: a torch.optim.Optimizer
:param optim_args: a dictionary of learning arguments for the optimizer or a callable that returns
such dictionaries
"""
def __init__(self, optim_constructor, optim_args):
self.pt_optim_constructor = optim_constructor
# must be callable or dict
assert callable(optim_args) or isinstance(
optim_args, dict), "optim_args must be function that returns defaults or a defaults dictionary"
# hold our args to be called/used
self.pt_optim_args = optim_args
# holds the torch optimizer objects
self.optim_objs = {}
# any optimizer state that's waiting to be consumed (because that parameter hasn't been seen before)
self._state_waiting_to_be_consumed = {}
def __call__(self, params, *args, **kwargs):
"""
:param params: a list of parameters
:type params: an iterable of strings
Do an optimization step for each param in params. If a given param has never been seen before,
initialize an optimizer for it.
"""
for p in params:
# if we have not seen this param before, we instantiate and optim object to deal with it
if p not in self.optim_objs:
# get our constructor arguments
def_optim_dict = self._get_optim_args(p)
# create a single optim object for that param
self.optim_objs[p] = self.pt_optim_constructor([p], **def_optim_dict)
# set state from _state_waiting_to_be_consumed if present
param_name = pyro.get_param_store().param_name(p)
if param_name in self._state_waiting_to_be_consumed:
state = self._state_waiting_to_be_consumed.pop(param_name)
self.optim_objs[p].load_state_dict(state)
# actually perform the step for the optim object
self.optim_objs[p].step(*args, **kwargs)
[docs] def get_state(self):
"""
Get state associated with all the optimizers in the form of a dictionary with
key-value pairs (parameter name, optim state dicts)
"""
state_dict = {}
for param in self.optim_objs:
param_name = pyro.get_param_store().param_name(param)
state_dict[param_name] = self.optim_objs[param].state_dict()
return state_dict
[docs] def set_state(self, state_dict):
"""
Set the state associated with all the optimizers using the state obtained
from a previous call to get_state()
"""
self._state_waiting_to_be_consumed = state_dict
[docs] def save(self, filename):
"""
:param filename: file name to save to
:type name: str
Save optimizer state to disk
"""
with open(filename, "wb") as output_file:
output_file.write(cloudpickle.dumps(self.get_state()))
[docs] def load(self, filename):
"""
:param filename: file name to load from
:type name: str
Load optimizer state from disk
"""
with open(filename, "rb") as input_file:
state = cloudpickle.loads(input_file.read())
self.set_state(state)
# helper to fetch the optim args if callable (only used internally)
def _get_optim_args(self, param):
# if we were passed a fct, we call fct with param info
# arguments are (module name, param name, tags) e.g. ('mymodule', 'bias', 'baseline')
if callable(self.pt_optim_args):
# get param name
param_name = pyro._param_store.param_name(param)
module_name = module_from_param_with_module_name(param_name)
stripped_param_name = user_param_name(param_name)
# get tags
tags = pyro.get_param_store().get_param_tags(param_name)
# invoke the user-provided callable
opt_dict = self.pt_optim_args(module_name, stripped_param_name, tags)
# must be dictionary
assert isinstance(opt_dict, dict), "per-param optim arg must return defaults dictionary"
return opt_dict
else:
return self.pt_optim_args


What I love about programming is that it satisfies my need for a constant challenge, and I get the opportunity to create high quality web applications that benefit others.
I’m a full-stack web developer with experience in non-profit program development, teaching, and bicycle mechanics. With a strength in critical thinking and a drive to create effective solutions, I strive to build meaningful projects that address real-world needs.
I have learned that a huge part of programming is knowing how to fail, and that failing is often times a step forward in the process. Having this perspective has allowed me to not only write the best code I can, but to build a strong foundation in programming, regardless of what language or technology is used. Going forward, I’m eager to dive deeper into both front-end and back-end development, collaborate with other passionate developers and continue to strengthen the programming skills I've worked so hard to build.
I love when all the work I put into learning new technologies pays off and I'm able to put something new into the world. These projects are a reflection of my journey through web development, and each represents a commit to my personal growth as a programmer.


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Texture file to upload: {{typewriterCtrl.texture.name}}
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Before Change
top_values, top_indices = torch.topk(logits, keep_topk, dim=1)
kth_best = top_values[:, -1].view([-1, 1])
kth_best = kth_best.repeat([1, logits.shape[1]])
kth_best = kth_best.type(torch.cuda.FloatTensor)
// Set all logits that are not in the top-k to -1000.
// This puts the probabilities close to 0.
keep = torch.ge(logits, kth_best).type(torch.cuda.FloatTensor)
After Change
if keep_topk > 0:
top_values, top_indices = torch.topk(logits, keep_topk, dim=1)
kth_best = top_values[:, -1].view([-1, 1])
kth_best = kth_best.repeat([1, logits.shape[1]]).float()
// Set all logits that are not in the top-k to -1000.
// This puts the probabilities close to 0.
keep = torch.ge(logits, kth_best).float()


--- layout: page title: "Hi, I'm Leo" subtitle: Data Science / Machine Learning / Artificial Intelligence css: "/assets/css/index.css" share-img: /assets/img/leo.jpg share-title: "Leonardo Queiroz - Data Scientist" share-description: "Data Scientist with a MSc in Biomedical Engineering and a Bachelor in Mechatronics Engineering." cover-img: - "/assets/img/big-imgs/lake-louise/Lake-Louise1.JPG" : "Lake Louise, Canada (2018)" - "/assets/img/big-imgs/lake-louise/Lake-Louise2.JPG" : "Lake Louise, Canada (2018)" - "/assets/img/big-imgs/lake-louise/Lake-Louise3.JPG" : "Lake Louise, Canada (2018)" - "/assets/img/big-imgs/lake-louise/Lake-Louise4.JPG" : "Lake Louise, Canada (2018)" - "/assets/img/big-imgs/lake-louise/Lake-Louise5.JPG" : "Lake Louise, Canada (2018)" - "/assets/img/big-imgs/lake-louise/Lake-Louise6.JPG" : "Lake Louise, Canada (2018)" - "/assets/img/big-imgs/lake-louise/Lake-Louise7.JPG" : "Lake Louise, Canada (2018)" - "/assets/img/big-imgs/lake-louise/Lake-Louise8.JPG" : "Lake Louise, Canada (2018)" - "/assets/img/big-imgs/lake-louise/Lake-Louise9.JPG" : "Lake Louise, Canada (2018)" - "/assets/img/big-imgs/Australia/Australia1.JPG" : "Sydney, Australia (2018)" - "/assets/img/big-imgs/Australia/Australia2.JPG" : "Sydney, Australia (2018)" - "/assets/img/big-imgs/Australia/Australia3.JPG" : "Sydney, Australia (2018)" - "/assets/img/big-imgs/Australia/Australia4.JPG" : "Sydney, Australia (2018)" - "/assets/img/big-imgs/Australia/Australia5.JPG" : "Sydney, Australia (2018)" - "/assets/img/big-imgs/Australia/Australia6.JPG" : "Sydney, Australia (2018)" - "/assets/img/big-imgs/Australia/Australia7.JPG" : "Sydney, Australia (2018)" - "/assets/img/big-imgs/Australia/Australia8.JPG" : "Sydney, Australia (2018)" - "/assets/img/big-imgs/Australia/Australia9.JPG" : "Sydney, Australia (2018)" - "/assets/img/big-imgs/Australia/Australia10.JPG" : "Sydney, Australia (2018)" - "/assets/img/big-imgs/Australia/Australia11.JPG" : "Sydney, Australia (2018)" - "/assets/img/big-imgs/Australia/Australia12.JPG" : "Sydney, Australia (2018)" - "/assets/img/big-imgs/Australia/Australia13.JPG" : "Sydney, Australia (2018)" - "/assets/img/big-imgs/Australia/Australia14.JPG" : "Sydney, Australia (2018)" - "/assets/img/big-imgs/Australia/Australia15.JPG" : "Sydney, Australia (2018)" - "/assets/img/big-imgs/Australia/Australia16.JPG" : "Sydney, Australia (2018)" - "/assets/img/big-imgs/Australia/Australia17.JPG" : "Sydney, Australia (2018)" - "/assets/img/big-imgs/Australia/Australia18.JPG" : "Sydney, Australia (2018)" - "/assets/img/big-imgs/Australia/Australia19.JPG" : "Sydney, Australia (2018)" - "/assets/img/big-imgs/Australia/Australia20.JPG" : "Sydney, Australia (2018)" - "/assets/img/big-imgs/Australia/Australia21.JPG" : "Sydney, Australia (2018)" - "/assets/img/big-imgs/Australia/Australia22.JPG" : "Sydney, Australia (2018)" - "/assets/img/big-imgs/Australia/Australia23.JPG" : "Sydney, Australia (2018)" - "/assets/img/big-imgs/Australia/Australia24.JPG" : "Sydney, Australia (2018)" - "/assets/img/big-imgs/Australia/Australia25.JPG" : "Sydney, Australia (2018)" - "/assets/img/big-imgs/Australia/Australia26.jpeg" : "Sydney, Australia (2018)" - "/assets/img/big-imgs/Australia/Australia27.jpeg" : "Sydney, Australia (2018)" - "/assets/img/big-imgs/Calgary/Calgary1.JPG" : "Calgary, Canada (2018)" - "/assets/img/big-imgs/Calgary/Calgary2.JPG" : "Calgary, Canada (2018)" - "/assets/img/big-imgs/Calgary/Calgary3.JPG" : "Calgary, Canada (2018)" - "/assets/img/big-imgs/Calgary/Calgary4.JPG" : "Calgary, Canada (2018)" - "/assets/img/big-imgs/Calgary/Calgary5.JPG" : "Calgary, Canada (2018)" - "/assets/img/big-imgs/Calgary/Calgary6.JPG" : "Calgary, Canada (2018)" - "/assets/img/big-imgs/Calgary/Calgary7.JPG" : "Calgary, Canada (2018)" - "/assets/img/big-imgs/Calgary/Calgary8.JPG" : "Calgary, Canada (2018)" - "/assets/img/big-imgs/Calgary/Calgary9.JPG" : "Calgary, Canada (2018)" - "/assets/img/big-imgs/Calgary/Calgary10.JPG" : "Calgary, Canada (2018)" - "/assets/img/big-imgs/Grassi-Lake/Grassi-Lake1.JPG" : "Grassi Lake, Canada (2018)" - "/assets/img/big-imgs/Grassi-Lake/Grassi-Lake2.JPG" : "Grassi Lake, Canada (2018)" - "/assets/img/big-imgs/Grassi-Lake/Grassi-Lake3.JPG" : "Grassi Lake, Canada (2018)" - "/assets/img/big-imgs/Grassi-Lake/Grassi-Lake4.JPG" : "Grassi Lake, Canada (2018)" - "/assets/img/big-imgs/Grassi-Lake/Grassi-Lake5.JPG" : "Grassi Lake, Canada (2018)" - "/assets/img/big-imgs/Grassi-Lake/Grassi-Lake6.JPG" : "Grassi Lake, Canada (2018)" - "/assets/img/big-imgs/Grassi-Lake/Grassi-Lake7.JPG" : "Grassi Lake, Canada (2018)" - "/assets/img/big-imgs/Grassi-Lake/Grassi-Lake8.JPG" : "Grassi Lake, Canada (2018)" - "/assets/img/big-imgs/Grassi-Lake/Grassi-Lake9.JPG" : "Grassi Lake, Canada (2018)" - "/assets/img/big-imgs/Waterton/Waterton1.JPG" : "Waterton, Canada (2018)" - "/assets/img/big-imgs/Waterton/Waterton2.JPG" : "Waterton, Canada (2018)" - "/assets/img/big-imgs/Waterton/Waterton3.JPG" : "Waterton, Canada (2018)" - "/assets/img/big-imgs/Waterton/Waterton4.JPG" : "Waterton, Canada (2018)" - "/assets/img/big-imgs/Waterton/Waterton5.JPG" : "Waterton, Canada (2018)" - "/assets/img/big-imgs/Waterton/Waterton6.JPG" : "Waterton, Canada (2018)" - "/assets/img/big-imgs/Waterton/Waterton7.JPG" : "Waterton, Canada (2018)" - "/assets/img/big-imgs/Waterton/Waterton8.JPG" : "Waterton, Canada (2018)" - "/assets/img/big-imgs/Waterton/Waterton9.JPG" : "Waterton, Canada (2018)" - "/assets/img/big-imgs/Waterton/Waterton10.JPG" : "Waterton, Canada (2018)" - "/assets/img/big-imgs/Waterton/Waterton11.JPG" : "Waterton, Canada (2018)" --- {% assign posts = paginator.posts | default: site.posts %}


Dictionary
3.3
Displays results from specific web sites.
Settings
x2 Click:
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From Language:
English
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To Language:
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Tureng
Dictionary.com
Wordreference.com
Yandex.Translate
TDK
Abbyy
Sozluk.net
Dict.cn


Sarah is a third year student at UCSD in Muir College. She is majoring in Computer Science and minoring in Cognitive Science. She spent the last quarter studying abroad at University College Cork in Ireland. She is involved in Women in Computing (WIC) and encourages everyone to join. As part of the outreach commitee she has designed workshops and taught high school students and middle school students the basics of HTML, CSS, and JavaScript to give them exposure to computer science at an early age.


 Give attitude adventure always yet meow and walk away. Tuxedo cats always looking dapper.    Scratch leg; meow for can opener to feed me please stop looking at your phone and pet me yet sit in a box for hours.
 Sit in a box for hours cough hairball on conveniently placed pants. Sniff other cat's butt and hang jaw half open thereafter refuse to leave cardboard box kitty scratches bad kitty flop over. Allways wanting food meow meow, i tell my human. Cough hairball, eat toilet paper tickle my belly at your own peril i will pester for food when you're in the kitchen even if it's salad sleep nap. Sleep on keyboard bite nose of your human, for annoy the old grumpy cat, start a fight and then retreat to wash when i lose.
Throwup on your pillow. Playing with balls of wool chase imaginary bugs, yet kitty poochy but you call this cat food, but flee in terror at cucumber discovered on floor yet have a lot of grump in yourself because you can't forget to be grumpy and not be like king grumpy cat. All of a sudden cat goes crazy meow to be let out.  Hiss at vacuum cleaner cough hairball on conveniently placed pants. Groom yourself 4 hours - checked, have your beauty sleep 18 hours - checked, be fabulous for the rest of the day - checked pet right here, no not there, here, no fool, right here that other cat smells funny you should really give me all the treats because i smell the best and omg you finally got the right spot and i love you right now cough furball.
Jump five feet high and sideways when a shadow moves unwrap toilet paper i like frogs and 0 gravity and milk the cow.   Scratch at fleas, meow until belly rubs, hide behind curtain when vacuum cleaner is on scratch strangers and poo on owners food twitch tail in permanent irritation leave fur on owners clothes if it smells like fish eat as much as you wish.
 Make meme, make cute face roll over and sun my belly yet lie on your belly and purr when you are asleep and fish i must find my red catnip fishy fish. Milk the cow nap all day, so i like frogs and 0 gravity lounge in doorway but cat fur is the new black but ptracy. Love blinks and purr purr purr purr yawn i like frogs and 0 gravity disappear for four days and return home with an expensive injury; bite the vet. Dream about hunting birds flee in terror at cucumber discovered on floor kitty poochy cat not kitten around yet immediately regret falling into bathtub for leave dead animals as gifts.
 Give attitude adventure always yet meow and walk away. Tuxedo cats always looking dapper.    Scratch leg; meow for can opener to feed me please stop looking at your phone and pet me yet sit in a box for hours.
 Jump five feet high and sideways when a shadow moves meow go back to sleep owner brings food and water tries to pet on head, so scratch get sprayed by water because bad cat. Pooping rainbow while flying in a toasted bread costume in space run up and down stairs and relentlessly pursues moth intently sniff hand bathe private parts with tongue then lick owner's face meow love blinks and purr purr purr purr yawn.  Meow meow reward the chosen human with a slow blink.  Lick yarn hanging out of own butt munch, munch, chomp, chomp lounge in doorway.
Lick human with sandpaper tongue cat slap dog in face pee in human's bed until he cleans the litter box.  Cat not kitten around headbutt owner's knee yet hide head under blanket so no one can see purr for no reason. Dead stare with ears cocked. Under the bed lie on your belly and purr when you are asleep intently sniff hand lie on your belly and purr when you are asleep but love me!
Love and sniff sniff. Sun bathe scratch leg; meow for can opener to feed me love to play with owner's hair tie cough furball into food bowl then scratch owner for a new one, yet grab pompom in mouth and put in water dish, sit in window and stare oooh, a bird, yum, sun bathe.
Purr when being pet pose purrfectly to show my beauty but i'm bored inside, let me out i'm lonely outside, let me in i can't make up my mind whether to go in or out, guess i'll just stand partway in and partway out, contemplating the universe for half an hour how dare you nudge me with your foot?!?! leap into the air in greatest offense!
Poop in the plant pot unwrap toilet paper but have secret plans yet throw down all the stuff in the kitchen, paw at your fat belly.
  Mrow eat owner's food. Thinking longingly about tuna brine white cat sleeps on a black shirt but pee in human's bed until he cleans the litter box need to chase tail ears back wide eyed.  I can haz when in doubt, wash lick the other cats so roll over and sun my belly or meowwww yet chase red laser dot.
Be a nyan cat, feel great about it, be annoying 24/7 poop rainbows in litter box all day claw at curtains stretch and yawn nibble on tuna ignore human bite human hand try to jump onto window and fall while scratching at wall decide to want nothing to do with my owner today but experiences short bursts of poo-phoria after going to the loo demand to be let outside at once, and expect owner to wait for me as i think about it meow in empty rooms.  Claw drapes chase imaginary bugs. Pretend you want to go out but then don't be superior yet jump five feet high and sideways when a shadow moves. Russian blue cat mojo ptracy, so push your water glass on the floor and hack, yet decide to want nothing to do with my owner today.
   Lick plastic bags.  I am the best touch water with paw then recoil in horror, yet caticus cuteicus. Nap all day chase red laser dot yet cat is love, cat is life yet claws in your leg. Ask to go outside and ask to come inside and ask to go outside and ask to come inside try to jump onto window and fall while scratching at wall yet kitten is playing with dead mouse.  Chase the pig around the house pooping rainbow while flying in a toasted bread costume in space drink water out of the faucet.


A set of utility functions for use with the builders. Users should not need to use the functions directly, but they are included here for completeness and to aid with understanding of what is happening behind the scenes.
Certainly, users may encounter instances of _FFTWWrapper.
These everything documented in this module is not part of the public API and may change in future versions.
A class that wraps pyfftw.FFTW, providing a slicer on the input stage during calls to __call__().
The arguments are as per pyfftw.FFTW, but with the addition of 2 keyword arguments: input_array_slicer and FFTW_array_slicer.
These arguments represent 2 slicers: input_array_slicer slices the input array that is passed in during a call to instances of this class, and FFTW_array_slicer slices the internal array.
The arrays that are returned from both of these slicing operations should be the same size. The data is then copied from the sliced input array into the sliced internal array.
Wrap pyfftw.FFTW.__call__() by firstly slicing the passed-in input array and then copying it into a sliced version of the internal array. These slicers are set at instantiation.
When input array is not None, this method always results in a copy. Consequently, the alignment and dtype are maintained in the internal array.
output_array and normalise_idft are passed through to pyfftw.FFTW.__call__() untouched.
Generic transform interface for all the transforms. No defaults exist. The transform must be specified exactly.
This function returns two slicers that are to be used to copy the data from the input array to the FFTW object internal array, which can then be passed to _FFTWWrapper:
(update_input_array_slicer, FFTW_array_slicer)
On calls to _FFTWWrapper objects, the input array is copied in as:
FFTW_array[FFTW_array_slicer] = input_array[update_input_array_slicer]
Given a passed in array a, and the rest of the arguments (that have been fleshed out with _cook_nd_args()), compute the shape the input and output arrays need to be in order to satisfy all the requirements for the transform. The input shape may be different to the shape of a.
returns: (input_shape, output_shape)
Turn *(n, axis) into (s, axes)
Similar to numpy.fft.fftpack._cook_nd_args().


Optical Levitation of a Cylinder
Introduction
Last week in our introductory electricity and magnetism class, we calculated the properties of a cylinder with mass \(m\) that levitates due to the balance between an upward radiation force and a downward gravitational force. This effect, called optical levitation, was studied in depth by Arthur Ashkin of Bell Laboratories. Our simple model of uniform, cylindrical laser beams and uniform, cylindrical masses left out a lot of the subtleties of Ashkin’s work. However, it did give us a sense of how powerful laser light could be. In this post I want to review that simple calculation of the mass that we did in class.
The Set Up
A laser beam with power \(P\) is modeled as a cylinder with diameter \(D\). The beam is directed upward (in the \(+\hat{z}\) direction) onto one circular face of a cylindrical mass with diameter \(d\), height \(H\), and mass \(m\).
The Calculation
As we noted above, the cylinder levitates due to the balance between the upward radiation force and the downward gravitational force. Thus, the upward force from the laser must be equal to the downward force from gravity.
\[\begin{align} &\sum \vec{F} = 0\\[0.1cm] &\vec{F}_{radiation} + \vec{F}_g = 0\\[0.1cm] &F_{radiation} (+\hat{z}) + F_g (-\hat{z}) = 0 \end{align}\] \[\begin{equation} F_{radiation} = F_g \end{equation}\]We know from mechanics that the gravitational force on a massive object is \(F_g = mg\).
\[\begin{equation} F_{radiation} = mg \end{equation}\]We also know that a light wave exerts a radiation pressure on the surface that it strikes. Thus, we can define the total force from the laser as the radiation pressure from the laser multiplied by the area of one face of the cylinder.
\[\begin{equation} P_{radiation} \left [ \pi \left ( \frac{d}{2} \right )^2 \right ] = mg \end{equation}\]We know that we can relate the radiation pressure to the intensity (\(I\)) of the laser beam; we have to be careful though. If the laser beam is completely absorbed by the face of the cylinder, the pressure is:
\[\begin{equation} P_{radiation} = \frac{I}{c} \end{equation}\]On the other hand, if the laser beam is completely reflected by the face of the cylinder, the pressure is:
\[\begin{equation} P_{radiation} = \frac{2I}{c} \end{equation}\]Let us assume that the laser beam is perfectly reflected at the face of the cylinder in this case.
\[\begin{equation} \frac{2I}{c} \left [ \pi \left ( \frac{d}{2} \right )^2 \right ] = mg \end{equation}\]Finally, we can convert intensity to power. Remember, intensity is just power per unit area. In this case, we are using the area of the laser beam:
\[\begin{equation} I = \frac{P}{A_{laser}} = \frac{P}{\pi \left ( \frac{D}{2} \right )^2} \end{equation}\]Substituting the expression for intensity into the expression for power and solving for the mass yields:
\[\begin{equation} \frac{2P}{c \pi \left ( \frac{D}{2} \right )^2} \left [ \pi \left ( \frac{d}{2} \right )^2 \right ] = mg \end{equation}\] \[\begin{equation} m = \frac{2Pd^2}{cg D^2} \end{equation}\]We know from this result that the mass of the cylinder must be very small due to the \(cg\) term in the denominator. Thus, optical levitation really only works for objects that have a mass of fractions of a gram.


This is "Feature1"
This feature is rendered with a h1-tag as root-Element, not a div.
This is "Feature2"
This is "Feature2" with variant "new"
This "Feature2" with variant "old"
This "Feature2" with variant "grumpfel"
This "Feature3" with variant "old" has some Data.
This "Feature3" with variant "old" has some Data. (watch the : before the data-attribute. Otherwise you'll get this as a string...)


Last Name
First Name
Address
City
State
Zip/Postal Code
Country
Albania
Belarus
Belgium
Bermuda
Botswana
Brazil
British Indian Ocean Ter
Brunei
Bulgaria
China
Christmas Island
Egypt
Gambia
Germany
Romania
Russia
Saipan
Zimbabwe
Phone(country code,
area code, number )
(+
)
E-mail
Birth date
Gender
Male
Female
Other
Starting date
Spring 2015
Summer 2015
Comments/Questions


About
A dedicated and experienced professional that is self-motivated to maintain timelines for projects assigned, and the individual to “get the job done.”. Able to strategically improve situations and produce high quality work. Calm and collected with the patience required to see challenging tasks through to completion.
Work
Site Lead
Prime Data Center, McClellan Park,Ca
- Manage and train new employees on electrical, HVAC, substation, security, CMMS, fire system, switchgear, UPS, ATS and generators.
- Creating/approving/completing work orders in CMMS for access request, freight deliveries, preventive/corrective maintenance, service request, admin and building issues.
- Analyze and interpret technical data, blueprints, and electrical schematics/diagrams related to structures and electrical power systems.
Power Production Supervisor
US Air Force
- Supervise employees in training and repair of power generation and distribution systems.
- Perform transfer test of simulated power outages to 84 critical facilities to ensure smooth transition to emergency power.
- Led incident reports investigation for power outage/safety mishaps/equipment failure and find root causes to prevent future occurrence.
- Troubleshoot/Operate/ Maintain/Inspect/Repair IC engines, diesel generators, load banks,light carts and compressors valued $60.1 million.
Education
- Code Fellows
Certificate - Advanced Software Development in Full-Stack JavaScript - 2022
- Community College of the Air Force
Associate of Applied Science
Top Ten Favorite Movies
- Sixth Sense
- Godfather
- Inception
- Tenet
- Interstellar
- It
- Truman Show
- Good Will Hunting
- Gone Girl
- Pie of Life


This page is the front for the python script that generates a set number of payment records for your Razorpay account. You can also use this page for manually entering records. Recommended to be used (tested too) only in test mode.
| Number of records to generate: | ||
| Your KEY_ID (Ex: rzp_test_XXXXXXXXX): | ||
| Payment amount range in INR: | to | |
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LLVMSwift
LLVMSwift is a pure Swift interface to the LLVM API and its associated libraries. It provides native, easy-to-use components to make compiler development fun.
Introduction
LLVM IR
The root unit of organization of an LLVM IR program is a Module
let module = Module(name: "main")
LLVM IR construction is handled by IRBuilder
objects. An IRBuilder
is a cursor pointed inside a context, and as such has ways of extending that context and moving around inside of it.
Defining a function and moving the cursor to a point where we can begin inserting instructions is done like so:
let builder = IRBuilder(module: module)
let main = builder.addFunction("main",
type: FunctionType([], IntType.int64))
let entry = main.appendBasicBlock(named: "entry")
builder.positionAtEnd(of: entry)
Inserting instructions creates native IRValue
placeholder objects that allow us to structure LLVM IR programs just like Swift programs:
let constant = IntType.int64.constant(21)
let sum = builder.buildAdd(constant, constant)
builder.buildRet(sum)
This simple program generates the following IR:
// module.dump()
define i64 @main() {
entry:
ret i64 42
}
Types
LLVM IR is a strong, statically typed language. As such, values and functions
are tagged with their types, and conversions between them must be explicit (see
Conversion Operators).
LLVMSwift represents this with values conforming to the IRType
protocol and defines
the following types:
| Type | Represents |
|---|---|
| VoidType | Nothing; Has no size |
| IntType | Integer and Boolean values (i1 ) |
| FloatType | Floating-point values |
| FunctionType | Function values |
| LabelType | Code labels |
| TokenType | Values paired with instructions |
| MetadataType | Embedded metadata |
| X86MMXType | X86 MMX values |
| PointerType | Pointer values |
| VectorType | SIMD data |
| ArrayType | Homogeneous values |
| Structure Type | Heterogeneous values |
Control Flow
Control flow is changed through the unconditional and conditional br
instruction.
LLVM is also famous for a control-flow specific IR construct called a PHI node. Because all instructions in LLVM IR are in SSA (Single Static Assignment) form, a PHI node is necessary when the value of a variable assignment depends on the path the flow of control takes through the program. For example, let’s try to build the following Swift program in IR:
func calculateFibs(_ backward : Bool) -> Double {
let retVal : Double
if !backward {
// the fibonacci series (sort of)
retVal = 1/89
} else {
// the fibonacci series (sort of) backwards
retVal = 1/109
}
return retVal
}
Notice that the value of retVal
depends on the path the flow of control takes through this program, so we must emit a PHI node to properly initialize it:
let function = builder.addFunction("calculateFibs",
type: FunctionType([IntType.int1],
FloatType.double))
let entryBB = function.appendBasicBlock(named: "entry")
builder.positionAtEnd(of: entryBB)
// allocate space for a local value
let local = builder.buildAlloca(type: FloatType.double, name: "local")
// Compare to the condition
let test = builder.buildICmp(function.parameters[0], IntType.int1.zero(), .equal)
// Create basic blocks for "then", "else", and "merge"
let thenBB = function.appendBasicBlock(named: "then")
let elseBB = function.appendBasicBlock(named: "else")
let mergeBB = function.appendBasicBlock(named: "merge")
builder.buildCondBr(condition: test, then: thenBB, else: elseBB)
// MARK: Then Block
builder.positionAtEnd(of: thenBB)
// local = 1/89, the fibonacci series (sort of)
let thenVal = FloatType.double.constant(1/89)
// Branch to the merge block
builder.buildBr(mergeBB)
// MARK: Else Block
builder.positionAtEnd(of: elseBB)
// local = 1/109, the fibonacci series (sort of) backwards
let elseVal = FloatType.double.constant(1/109)
// Branch to the merge block
builder.buildBr(mergeBB)
// MARK: Merge Block
builder.positionAtEnd(of: mergeBB)
let phi = builder.buildPhi(FloatType.double, name: "phi_example")
phi.addIncoming([
(thenVal, thenBB),
(elseVal, elseBB),
])
builder.buildStore(phi, to: local)
let ret = builder.buildLoad(local, type: FloatType.double, name: "ret")
builder.buildRet(ret)
This program generates the following IR:
define double @calculateFibs(i1) {
entry:
%local = alloca double
%1 = icmp ne i1 %0, false
br i1 %1, label %then, label %else
then: ; preds = %entry
br label %merge
else: ; preds = %entry
br label %merge
merge: ; preds = %else, %then
%phi_example = phi double [ 0x3F8702E05C0B8170, %then ], [ 0x3F82C9FB4D812CA0, %else ]
store double %phi_example, double* %local
%ret = load double, double* %local
ret double %ret
}
JIT
LLVMSwift provides a JIT abstraction to make executing code in LLVM modules quick and easy. Let’s execute the PHI node example from before:
// Setup the JIT
let jit = try JIT(machine: TargetMachine())
typealias FnPtr = @convention(c) (Bool) -> Double
_ = try jit.addEagerlyCompiledIR(module) { (name) -> JIT.TargetAddress in
return JIT.TargetAddress()
}
// Retrieve a handle to the function we're going to invoke
let addr = try jit.address(of: "calculateFibs")
let fn = unsafeBitCast(addr, to: FnPtr.self)
// Call the function!
print(fn(true)) // 0.00917431192660551...
print(fn(false)) // 0.0112359550561798...
Installation
There are a couple annoying steps you need to accomplish before building LLVMSwift:
- Install LLVM 11.0+ using your favorite package manager. For example:
brew install llvm@11
- Ensure
llvm-config
is in yourPATH
- That will reside in the
/bin
folder wherever your package manager installed LLVM.
- That will reside in the
- Create a pkg-config file for your specific LLVM installation.
- We have a utility for this:
swift utils/make-pkgconfig.swift
- We have a utility for this:
Once you do that, you can add LLVMSwift as a dependency for your own Swift compiler projects!
Installation with Swift Package Manager
.package(url: "https://github.com/llvm-swift/LLVMSwift.git", from: "0.8.0")
Installation without Swift Package Manager
We really recommend using SwiftPM with LLVMSwift, but if your project is structured in such a way that makes using SwiftPM impractical or impossible, use the following instructions:
- Xcode:
- Add this repository as a git submodule
- Add the files in
Sources/
to your Xcode project. - Under
Library Search Paths
add the output ofllvm-config --libdir
- Under
Header Search Paths
add the output ofllvm-config --includedir
- Under
Link Target with Libraries
drag in/path/to/your/llvm/lib/libLLVM.dylib
This project is used by Trill for all its code generation.
Authors
- Harlan Haskins (@harlanhaskins)
- Robert Widmann (@CodaFi)
License
This project is released under the MIT license, a copy of which is available in this repo.


{% extends "base.html" %} {% block head %}
In this study, we ask you to compare the quality of support and documentation for packages. We give you two packages to compare, related to some task you might use code to do. We ask you to assess support and documentation by anticipating which package will better suit your needs if you were to use it for the programming project we give you. For each task that we give you, we ask you to do the following: Plan how you will learn about support and documentation Use the web to learn about support and documentation Answer questions about what you learned The second step will be timed.
When you are ready to proceed, please press the "Next" button.


Islamic bank, Turkey to expand cooperation
by ANADOLU AGENCYThe Islamic Development Bank (IsDB) Group will expand its cooperation with Turkey through major transactions worth more than $500 million in Istanbul next week.
The deals will be signed at the 35th Ministerial Meeting of the Committee for Economic and Commercial Cooperation of the Organization of Islamic Cooperation (COMCEC) on Nov. 27, the bank said in a statement on Wednesday.
Two major projects, the Gaziray Suburban Line and Light Rail Transit Project (63 million euros) and Kayseri Light Rail Transit Project (30 million euros) will be part of the deals.
Turkey's High-Speed Train Sets Project (312 million euros) is expected to be inaugurated at the sideline event of the meeting with the attendance of Treasury and Finance Minister Berat Albayrak and Trade Minister Ruhsar Pekcan.
The IsDB Group, established in 1975, has 57 member countries in four continents – Africa, Asia, Europe, and Latin America.
It maintains an annual volume of operations of more than $10 billion and a subscribed capital of $70 billion.
Since 1975 to date, the IsDB Group has built a portfolio of 452 development operations in various sectors in Turkey totaling $11.4 billion.


| 005:101 Khan | : |
O you who believe! Ask not about things which, if made plain to you, may cause you trouble. But if you ask about them while the Qur'an is being revealed, they will be made plain to you. Allah has forgiven that, and Allah is Oft-Forgiving, Most Forbearing. |
| 005:101 Maulana | : |
O you who believe, as not about things which if made known to you would give you trouble; and if you ask about them when the Qur'an is being revealed, they will be made known to you. Allah pardons this; and Allah is Forgiving, Forbearing. |
| 005:101 Pickthal | : |
O ye who believe! Ask not of things which, if they were made unto you, would trouble you; but if ye ask of them when the Qur'an is being revealed, they will be made known unto you. Allah pardoneth this, for Allah is Forgiving, Clement. |
| 005:101 Rashad | : |
O you who believe, do not ask about matters which, if revealed to you prematurely, would hurt you. If you ask about them in light of the Quran, they will become obvious to you. GOD has deliberately overlooked them. GOD is Forgiver, Clement. |
| 005:101 Sarwar | : |
Believers, do not ask about things which, if revealed to you, would disappoint you. If you ask about such things when the Prophet is receiving revelations, they will also be revealed to you. God has exempted you (from the responsibilities of the things you wanted to know). He is All-forgiving and Forbearing. |
| 005:101 Shakir | : |
O you who believe! do not put questions about things which if declared to you may trouble you, and if you question about them when the Quran is being revealed, they shall be declared to you; Allah pardons this, and Allah is Forgiving, Forbearing. |
| 005:101 Sherali | : |
O ye who believe ! ask not about things which, if revealed to you, would cause you trouble, though if you ask about them while the Qur'an is being sent down they will be revealed to you. ALLAH has left them out on purpose. And ALLAH is Most Forgiving and Forbearing. |
| 005:101 Yusufali | : |
O ye who believe! Ask not questions about things which, if made plain to you, may cause you trouble. But if ye ask about things when the Qur'an is being revealed, they will be made plain to you, Allah will forgive those: for Allah is Oft-forgiving, Most Forbearing. |
Concepts/Themes Covered: أركان الإسلام > التوحيد > توحيد الله تعالي > صفات الله تعالى > الحليم Pillars of Islam> Islamic> Oneness of Allah> His Glory's Characteristics> The Most Forbearing الدعوة إلى الله > وجوبها > مهمة الرسل The Call for Allah> Its Necessity> The Messengers' Mission الإنسان والعلاقات الأخلاقية > الأخلاق الذميمة > الفضول Man and The Moral Relations>The Dispraised Morals>Curiosity
This tool uses eight English parallel translations for the Holy Quran imported from Mr. Clay Smith. You can also visit Qurany Concepts for browsing the Quran themes or topics. If you want to search the Holy Quran for keywords, please visit Qurany Keywords.


Tel:<PHONE_NUMBER>
Address: 40 Godstone Rd unit 211,
Toronto, ON M2J 3C7
Email<EMAIL_ADDRESS>Website: www.yahya.karnawi.com
Technical Skills
Scripting
HTML, XML, CSS, JavaScript, AJAX, JQuery, Node JS, Angular ,JSON, UI frameworks eg Bootstrap, PHP, SASS,LESS, SEO, Cross-Browsers Compatibility, Responsive Design, Accessibility, Email Templates, Visual Basic, MySQL.
CMS/Software
SAP, Wordpress, Unroole, SharePoint, Adobe Creative Suite
April 2016
York University
BAS Specialized Honours-Bachelor of Business Administration (Specializing in Accounting) Member of the Golden Key International Honour Society (Top 15% of the program)
Related Coursework: Intermediate Corporate Finance, Intermediate Financial Accounting I & II, Canadian Income Personal & Corporate Taxation, Intermediate Managerial Accounting, Micro and Macro Economics, Statistics, and Operations
December 2016
Chartered Financial Analyst Level 1 Candidate
Skills
Advanced expertise: Microsoft Office Suite, Google Charts, Basel II, VBA, SQL, Database (Sorting, Data Validation, Data Analysis, Pivot Tables), QuickBooks, SAP Accounting, SharePoint, Excellent Problem Solving and Analytical Skills.
Activities:
York Accounting Society, York Business & Society Student Club, Post Secondary Ambassador Program, Working Women Community Center (Computer Instructor), UNHCR (Outreach escort)
Interests
Capital Markets, Investment, Tech and Gaming, Aesthetics, Soccer, Mixed Martial Arts.
Experience in business analysis, financial services, accounting, financial analysis, credit, banking, investigation, loan management skills. Action oriented professional with proven track record of consistently meeting objectives, expectations, and deadlines. Strong organizational skills.
Multilingual: English, Arabic.
Tel:<PHONE_NUMBER>
Address: 40 Godstone Rd unit 211,
Toronto, ON M2J 3C7
Email<EMAIL_ADDRESS>Website: www.yahya.karnawi.com


Special Police Operation against Drunk or Drugged Drivers
A special police operation against driving under the influence of alcohol and drugs is taking place in Bulgaria, the press office of the Ministry of the Interior reported. The EU-wide operation by European traffic police Tispol will take place from 10 to 16 December.
According to statistics, one of the three main causes of serious road accidents in Europe with a high number of casualties is driving after the use of alcohol and/or drugs.
During the inspections, the police officers will also check for a valid compulsory third party liability insurance, unreported electronic slips, as well as unpaid fines.


NYU Introduction to Python
Thursday, Feb 12th
Show Your Homework Off
In groups of 5 - 6 start sharing your homework.
Agenda
- Review
- Advanced Conditionals
- Functions
- Re-write but with Functions
What We Will Accomplish by the End of Class
By the end of class, we'll be able to write code with functions.
Sad News
We have class Thursday. It's going to be cool however. I think we'll do databases.
Advanced Conditionals and Functions
In
In tells you whether something is in something else.
And
Allows you to combine conditionals.
Or
Let's you see weather something does one thing or another thing.
Nested Conditionals
You can combine condionals inside of other conditional statements by nesting them.
Comments
Comments are lines of text that never get run in your program.
Advice
If you are repeating yourself, you are likely doing it wrong.
Functions
We've already been working with built in functions but we also can create our own!
What Are They?
Reusable code, we can run over and over again.
What's Inside a Function
- A def statement
- A body
- A return statement
Parameters
Parameters are the variables inside the function.
Arguments
Arguments are the value passed into the function.
Return Values
The return value is allows us to specify if your function should output a value.
Docstrings
Local vs Global
All variables in Python exist in the global or local scope.
Main Function
To help you keep track of things, using a main function in your code could make things cleaner.
Your Functions They Do Too Much
Refactor
Let's change our old code to include functions.


DD-LIST(1) DD-LIST(1) NAME dd-list - nicely list .deb packages and their maintainers SYNOPSIS dd-list [-hiusV] [--help] [--stdin] [--sources Sources_file] [--dctrl] [--version] [--uploaders] [package ...] DESCRIPTION dd-list produces nicely formatted lists of Debian (.deb) packages and their maintainers. Input is a list of source or binary package names on the command line (or the standard input if --stdin is given). Output is a list of the follow‐ ing format, where package names are source packages by default: J. Random Developer<EMAIL_ADDRESS>j-random-package j-random-other Diana Hacker<EMAIL_ADDRESS>fun-package more-fun-package This is useful when you want, for example, to produce a list of packages that need to attention from their maintainers, e.g., to be rebuilt when a library version transition happens. OPTIONS -h, --help Print brief help message. -i, --stdin Read package names from the standard input, instead of taking them from the command line. Package names are whitespace delimited. -d, --dctrl Read package list from standard input in the format of a Debian package control file. This includes the status file, or output of apt-cache. This is the fastest way to use dd-list, as it uses the maintainer information from the input instead of looking up the maintainer of each listed package. If no Source: line is given, the Package: name is used for output, which might be a binary package name. -s, --sources Sources_file Read package information from the specified Sources_files. This can be given multiple times. If no Sources_files are specified, any files matching /var/lib/apt/lists/*_source_Sources will be used. -u, --uploaders Also list developers who are named as uploaders of packages, not only the maintainers; this is the default behaviour, use --nou‐ ploaders to prevent it. Uploaders are indicated with "(U)" appended to the package name. -nou, --nouploaders Only list package Maintainers, do not list Uploaders. -b, --print-binary Use binary package names in the output instead of source package names (has no effect with --dctrl if the Package: line contains source package names). -V, --version Print the version. AUTHOR Lars Wirzenius<EMAIL_ADDRESS>Joey Hess<EMAIL_ADDRESS>Debian 2011-10-27 DD-LIST(1)


MRS.ROSE SONDO TEL:+27-82-588-2200 20 BOTHA CRESCENT, SANDTON, JOHANNESBURG, SOUTH AFRICA ATTENTION: DEAR SIR HIGHLY CONFIDENTIAL With due respect trust and humility, I write you this proposal, which I believe it will be a great interst to you.I found your contact while I was doing a private research on the internet for a reliable and capable foreign partner that will assist my family and me. That's why I contacted you. I am MRS.ROSE SONDO the wife of MR.MICHAEL SONDO of Zimbabwe. During the current war against famers in Zimbabwe and from the support of our president ROBERT MUGABE to claim all the white owned farms in our country, all the white and black farmers were ordered to surrender their farms to his party members and his followers. My husband who was one of the best farmers in our country and treasurer of the farmer's CO-pperation did not suport his idea and so the party members invaded my husband's farms and burnt everything in the farm, Killed my husband and made away with a lot of items in my husband's farm. After the death of my husband, i and my childern decided to move out of Zimbabwe because our lives were in danger with the money that my husband kept in his hidden safe in my house. The amount contained in the safe is US$24.2M (TWENTY FOUR.TWO MILLION UNITED SATES DOLLAR) and we decided to code the money and move to the Republic of SOUTH AFRICA where we deposited the money in a SECURITY COMPANY as a valuable item.So i decided to make contact with an overseas firm whom will assist me to move this money out of South Africa, because we are asylum seekers here in South Africa. So if you consider this proppsal, we have agreed to give you 30% of the total sum for helping us to move this money out to your country and 10% will be mapped out for expenses both of us may incur during this transaction and 60% Will be for me and family to invest in your country. All i want is for you to furnish me with all your banking details and your personal phone and fax numbers for easy communication. You can contact me on the above Tel and e-mail address. NOTE: That this transaction is 100% risk free and absolutely confidential.Then if you are intrested to help me and children you will contact my only son MAGIZAR SONDO with the above e-mail Thanks and God bless you. Best Regard, MRS:ROSE SONDO. FOR THE FAMILY. _________________________________________________________________ We've added lots of new goodies to MSN South Africa - visit us today! http://www.msn.co.za/


An important advantage of the Marpa algorithm is the ability to easily get full information about the state of the parse.
To start a progress report,
use the marpa_r_progress_report_start()
command.
Only one progress report can be in use at any one time.
To get the information in a progress report,
it is necessary to step through the progress report
items.
To get the data for the current progress report item,
and advance to the next one,
use the marpa_r_progress_item()
method.
To destroy a progress report,
freeing the memory it uses,
call the marpa_r_progress_report_finish()
method.
Resets the progress report. Assumes a report of the progress has already been initialized at some Earley set for recognizer r, with
marpa_r_progress_report_start()
. The reset progress report will be positioned before its first item.Return value: On success, a non-negative value. On failure, −2.
Initializes a report of the progress at Earley set set_id for recognizer r. If a progress report already exists, it is destroyed and its memory is freed. Initially, the progress report is positioned before its first item.
If no Earley set with ID set_id exists,
marpa_r_progress_report_start()
fails. The error code isMARPA_ERR_INVALID_LOCATION
if set_id is negative. The error code isMARPA_ERR_NO_EARLEY_SET_AT_LOCATION
if set_id is greater than the ID of the latest Earley set.Return value: On success, the number of report items available. If the recognizer has not been started; if set_id does not exist; or on other failure, −2.
Destroys the report of the progress at Earley set set_id for recognizer r, freeing the memory and other resources. It is often not necessary to call this method. Any previously existing progress report is destroyed automatically whenever a new progress report is started, and when the recognizer is destroyed.
Return value: −2 if no progress report has been started, or on other failure. On success, a non-negative value.
This method allows access to the data for the next item of a progress report. If there are no more progress report items, it returns −1 as a termination indicator and sets the error code to
MARPA_ERR_PROGRESS_REPORT_EXHAUSTED
. Either the termination indicator, or the item count returned bymarpa_r_progress_report_start()
, can be used to determine when the last item has been seen.On success, the dot position is returned in the location pointed to by the position argument, and the origin is returned in the location pointed to by the origin argument. On failure, the locations pointed to by the position and origin arguments are unchanged.
Return value: On success, the rule ID of the next progress report item. If there are no more progress report items, −1. If either the position or the origin argument is
NULL
, or on other failure, −2.


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canConvert(Class)
- Method in class exampledata.XStreamHandlers.
AbstractPropertyConverter
canConvert(Class)
- Method in class exampledata.XStreamHandlers.
ObservableListConverter
canConvert(Class)
- Method in class exampledata.XStreamHandlers.
ViewSpriteConverter
canMove()
- Method in class gameElements.
Sprite
Character
- Class in
exampledata
Character(int)
- Constructor for class exampledata.
Character
checkKeyboardAction(IKeyboardAction.KeyboardActions, Sprite)
- Method in class gameElements.
KeyboardActionChecker
CircularQueue
<
T
> - Class in
gameElements
CircularQueue()
- Constructor for class gameElements.
CircularQueue
CircularQueue(Collection<? extends T>)
- Constructor for class gameElements.
CircularQueue
Collision
- Class in
gameElements
Collision()
- Constructor for class gameElements.
Collision
Collision(double)
- Constructor for class gameElements.
Collision
CollisionChecker
- Class in
gameElements
CollisionChecker()
- Constructor for class gameElements.
CollisionChecker
CollisionHandler
- Class in
gameElements
CollisionHandler()
- Constructor for class gameElements.
CollisionHandler
configure(XStream)
- Static method in class exampledata.XStreamHandlers.
FXConverters
CountdownTimerTask
- Class in
gameElements
CountdownTimerTask(int)
- Constructor for class gameElements.
CountdownTimerTask
createLevel(Integer, LevelProperties)
- Method in class gameElements.
Engine
createLevel(int, Level)
- Method in class gameElements.
Game
createLevel(int, LevelProperties)
- Method in class gameElements.
Game
createLevel(int, LevelProperties)
- Method in class gameElements.
GameEditor
createLevel(int, LevelProperties)
- Method in interface gameElements.
IGameEditor
createLevelsTabPane(int)
- Method in interface interfaces.
IDisplay
createLevelsTabPane(int)
- Method in class useCases.
DisplayWindow
createNewTab(Map<ViewSprite, Sprite>)
- Method in class authoringEnvironment.mainWindow.
GameMakerWindow
CriticalHitCollision
- Class in
gameElements
CriticalHitCollision(double, double)
- Constructor for class gameElements.
CriticalHitCollision
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SANTITOS * *
Director: Alejandro Springall Writer: Maria Amparo Escandon Cast: Dolores Heredia, Pedro Altamirano, Demian Bichir Rated R, 105 minutes
Watching Santitos is an uncomfortable experience because it is actually two radically different movies melded together. On one hand, it plays as a weepy drama about a mother losing her child, and her eventual recuperation. On the other, it is a Spanish Ealing comedy that comes complete with wrestling and prostitution elements. The big coincidence is that both films feature the same actors, and the screenplays written by the same writer. The director is identical as well. Separately, the duo might make for interesting shorts, but together they are a clunky mess that lumbers from start to finish.
Esperanza (Heredia) loses her only daughter, Blanca, to an unusual fatal virus. Doctors demand the teenage girl's body be sealed forever so the disease doesn't spread. After Blanca's death, Esperanza goes into a state of shock.  This leads her to wonder, what if the doctors are lying? She never did see the body. Some way or another, this incoming information leads Esperanza into believing her daughter got kidnapped by men, who sold Blanca into prostitution in Tijuana. So she follows the supposed path of her daughter's travels. In desperation, Esperanza becomes a prostitute herself while continuing her adventure of hope. By the time she reaches Los Angeles to search, the film's ending becomes quite apparent.
Although made in 1997, the plot for this movie sounds suspiciously like that of Nurse Betty's. A woman's only loved one dies, and her shock leads her to do outrageous things. It recalls major portions of several movies from the past few months. That this film was the inspiration for all of them is highly doubtful.
The unevenness starts with the script. A bunch of great, but unrelated story ideas make up the screenplay, and many of the scenes are very funny. It's not so much the dialogue that's the problem. It's more like the sequence of events. Character development is too sporadic, which is the same problem with the cinematography. Too many elements just appear to move the movie along. Esperanza just happens to pass by a wall with a colorful mural of the Virgin Mary on it. The benches of her hometown are, naturally, always perfectly color-coordinated. Late into the film, we also discover that Esperanza has a passion for wrestling. Who knew?
Editing is the next problem. This film is in Spanish, yet director Alejandro Springall choose an editor that didn't speak a word of the language. Not a good idea because this movie relies on moving from location to location with ease. Instead, the journey between locales is rocky.
All of this is really a shame since Dolores Heredia gives such a good lead performance. She runs between every base the script requires her to cover with grace and skill. The fish out of water stuff that's common in small British comedies doesn't work for this movie, but she almost makes it work. Screenwriter Maria Amparo Escandon just can't stop. She has to ruin her main character, and the movie's sweetness by placing Esperanza in highly sexual and violent situations. An old brothel owner, whose gender is unidentifiable, is supposedly prime comic fodder. Just wait and see what he or she does in the room he or she forbids everyone in the joint from visiting.
The final moments reveal a truly horrifying portion of this movie. Male guests can watch Esperanza changing and preparing herself through a camera in a Los Angeles brothel. The owner claims the invasion of privacy turns customers on. The Big Brother-esque moment gives the only truly genuine feeling in the film.
This is a rare foreign movie in that you can tune it out easily, with little confusion about what's happening when you return. A sometimes hilarious film that's too disjointed for actual enjoyment, Santitos sours with an aftertaste of falsity and silliness.
A film review by Frankie Paiva. Copyright 2000 Frankie Paiva.
See more of my reviews at http://homestead.com/cinemaparadise/mainpage.html
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Discrete minimax estimation with trees
This morning, I submitted the final version of my paper Discrete minimax estimation with trees (Devroye and Reddad, 2019), which is to appear in the Electronic Journal of Statistics. I think this paper is conceptually quite interesting, and I’m very happy with the final result, so in this post I’ll describe some of the main ideas present in the work.
The setting is elementary. We observe \(n\) independent and identically distributed samples coming from an unknown discrete distribution, and our goal is to concoct an estimate of the underlying distribution using our observations. In general, we will write \(f\) for the probability mass function of the true distribution \(\mu\), and \(\hat{f}\) for an estimate of \(f\) with corresponding distribution \(\hat{\mu}\). Note that \(\hat{\mu}\) and \(\hat{f}\) are random functions. Our goal is to make a choice of \(\hat{f}\) which minimizes the expected total variation (TV) distance between \(\mu\) and \(\hat{\mu}\), where this quantity is defined as \[ \mathrm{TV}(\mu, \hat{\mu}) = \sup_A |\mu(A) - \hat{\mu}(A)| . \] If this quantity is small, then \(\mu\) and \(\hat{\mu}\) assign nearly the same probabilities to all events.
The TV-distance has several equivalent formulations which makes it particularly attractive to us. Among them is the following coupling characterization, where if \(X\) and \(\hat{X}\) are random variables distributed as \(\mu\) and \(\hat{\mu}\), then \[ \mathrm{TV}(\mu, \hat{\mu}) = \inf_{(X, \hat{X})} \mathbf{P}\{X \neq \hat{X}\} , \] where the infimum is over all couplings of \(X\) and \(\hat{X}\). In this sense, we see how the TV-distance really captures our capacity to be able to tell \(X\) and \(\hat{X}\) apart by any means.
It is also not hard to see that \[ \mathrm{TV}(\mu, \hat{\mu}) = \frac{1}{2} \sum_i |f(i) - \hat{f}(i)| , \] and for this reason we will abuse notation and work with probability mass functions instead of probability measures in what follows: \[ \mathrm{TV}(f, \hat{f}) = \frac{1}{2} \sum_i |f(i) - \hat{f}(i)| . \] We also will refer to probability mass functions as densities. All in all, if we know that \(f\) belongs to some class of functions \(\mathcal{F}\), then we are interested in the following quantity, \[ \mathcal{R}_n(\mathcal{F}) = \inf_{\hat{f}} \sup_{f \in \mathcal{F}} \mathbf{E}\{\mathrm{TV}(f, \hat{f})\} , \] known as the minimax risk or minimax rate of the class \(\mathcal{F}\). This represents the best worst-case error over all events and estimators of an unknown density in \(\mathcal{F}\).
As a warm-up, let us suppose that the true density comes the class of all densities \(\mathcal{F}\) supported on \(\{1, \dots, k\}\). Write \(X_1, \dots, X_n\) for the observed samples. Since we have no extra information, is sensible then to choose \(\hat{\mu}\) as the empirical measure, i.e., for each \(i \in \{1, \dots, k\}\), \[ \hat{f}(i) = \frac{1}{n} \sum_{j = 1}^n \mathbf{1}\{ X_j = i\} = \frac{N_i}{n} , \] where \(N_i\) denotes the number of samples equal to \(i\). Note that \(N_i\) is distributed as \(\mathrm{Binomial}(n, f(i))\). The error of this estimate can be easily measured: \[ \begin{aligned} \mathbf{E} \{\mathrm{TV}(f, \hat{f})\} &= \frac{1}{2} \sum_{i = 1}^k \mathbf{E}\{|f(i) - \hat{f}(i)|\} \\ &= \frac{1}{2n} \sum_{i = 1}^k \mathbf{E}\{|n f(i) - N_i|\} \\ &\le \frac{1}{2n} \sum_{i = 1}^k \sqrt{\mathbf{E}\{(n f(i) - N_i)^2\}} , \end{aligned} \] by the Cauchy-Schwarz inequality. Each term here is simply the variance of a binomial random variable, whence \[ \mathcal{R}_n(\mathcal{F}) \le \frac{1}{2n} \sup_{f \in \mathcal{F}} \sum_{i = 1}^k \sqrt{n f(i)} \le \frac{1}{2} \sqrt{\frac{k}{n}} , \] again by Cauchy-Schwarz. It’s also not hard to see that this is the optimal rate up to a constant factor, i.e., \[ \mathcal{R}_n(\mathcal{F}) \asymp \sqrt{\frac{k}{n}} . \]
The estimate \(\hat{f}\) above is technically a type of histogram. Histogram estimates create piecewise constant functions determined by a partition of the support into bins, where each bin receives a total mass proportional to the number of samples falling within it. The estimate \(\hat{f}\) is a histogram with bins of size \(1\). Histograms can be used to study classes other than \(\mathcal{F}\) above, in which case it becomes important to make a good choice of bins, which is not always an easy move.
In (Devroye and Reddad, 2019), we develop a recursive scheme for determining a histogram partition for estimating discrete non-increasing and non-increasing convex densities. I’ll focus on the first case.
First, write \(\mathcal{F}_k\) for the class of all non-increasing densities supported on \(\{1, \dots, k\}\), where \(k\) is a power of two. Let \(f \in \mathcal{F}_k\) be the unknown density generating the \(n\) observations \(X_1, \dots, X_n\). We construct a binary tree with a corresponding partition of the support. Let \(\rho\) be the root of the tree, corresponding to the interval \(I_\rho = \{1, \dots, k\}\). Let \[ \begin{aligned} I_v &= \{1, \dots, k/2\} , \\ I_w &= \{k/2 + 1, \dots, k\} \end{aligned} \] denote the left and right halves of \(I_\rho\). We need to decide whether or not to split \(I_\rho\) into \(I_v\) and \(I_w\) and recurse, or use \(I_\rho\) as a bin itself. If it appears that \(f\) is constant on \(I_\rho\), then we would do well not to recurse, and vice versa. To this end, let \(N_v\) and \(N_w\) denote the number of samples falling into the intervals \(I_v\) and \(I_w\). Let also \(f_v\) and \(f_w\) denote the total mass of \(f\) in \(I_v\) and \(I_w\). Since \(f\) is non-increasing, then we expect that \[ N_v \ge N_w \] much of the time, so we should not recurse if \(N_v < N_w\). In fact, since \(N_v \sim \mathrm{Binomial}(n, f_v)\) and \(N_w \sim \mathrm{Binomial}(n, f_w)\), then with constant probability, \[ \begin{aligned} N_v - N_w \ge \sqrt{N_v + N_w} , \qquad (2) \end{aligned} \] for example by Chebyshev’s inequality. We call this the greedy splitting rule, and we split \(\rho\) and recurse if and only if either \((2)\) holds and \(|I_\rho| > 1\).
In the end, we obtain a partition of the interval \(\{1, \dots, k\}\), which can be used to make a histogram estimate \(\hat{f}\), which we call the greedy tree-based estimate for \(f\). Our simulations suggest that \(\hat{f}\) well-estimates \(f\), but the proof of this eludes us. Instead, we can use the construction of \(\hat{f}\) to develop another estimate which, along with some black magic, can allow us to obtain the optimal minimax rate \(\mathcal{R}_n(\mathcal{F})\).
If we replace the quantities in \((2)\) with their expectations, we get what we call the idealized splitting rule \[ \begin{aligned} f_v - f_w \ge \sqrt{\frac{f_v + f_w}{n}} . \qquad (1) \end{aligned} \] We can still use the idealized splitting rule to construct a piecewise-constant function \(f^*\) which has, on each bin, the average value of \(f\) along that bin.
This may seem contrary to the point of the problem, considering this construction depends heavily upon prior knowledge of the true density \(f\). This is where the black magic kicks in, but we need a few definitions first.
For a class of functions \(\mathcal{G}\), define its Yatracos class \(\mathcal{A}\) as \[ \mathcal{A} = \{\{x \colon f(x) > g(x)\} \colon f \neq g \in \mathcal{G}\} . \] Define also the Vapnik-Chervonenkis (VC) dimension of a class \(\mathcal{A}\) of subsets of \(\mathcal{X}\) as the size of the largest \(X \subseteq \mathcal{X}\) such that for every \(Y \subseteq X\), there exists \(B \in \mathcal{A}\) such that \(X \cap B = Y\). This is an important quantity in combinatorial statistics and machine learning.
Theorem 1. Let \(\mathcal{G}\) be some class of density estimates with Yatracos class \(\mathcal{A}\). Then, there is a universal constant \(c > 0\) for which \[ \mathcal{R}_n(\mathcal{F}) \le 3 \sup_{f \in \mathcal{F}} \inf_{g \in \mathcal{G}} \mathrm{TV}(f, g) + c \sqrt{\frac{\mathrm{VC}(\mathcal{A})}{n}} + \frac{3}{2n} . \]
Let \(T^*\) denote the underlying binary tree in the construction of \(f^*\), and say it has leaves \(L^*\). Suppose that \(\mathcal{G}\) is the class of all density estimates with at most \(\ell\) piecewise constant parts, for \(\ell \ge |L^*|\). Then, \(f^* \in \mathcal{G}\). Furthermore, if \(\mathcal{A}\) is the Yatracos class of \(\mathcal{G}\), then \(\mathcal{A} \subset \mathcal{B}\), where \(\mathcal{B}\) is the class of unions of at most \(\ell\) intervals. In particular, it is well-known that \(\mathrm{VC}(\mathcal{B}) = 2 \ell\), so applying Theorem 1, \[ \mathcal{R}_n(\mathcal{F}_k) \le 3 \sup_{f \in \mathcal{F}} \mathrm{TV}(f, f^*) + c \sqrt{\frac{\ell}{n}} + \frac{3}{2n} . \]
We can also control the total-variation distance to the idealized tree-based estimate: \[ \begin{aligned} \mathrm{TV}(f, f^*) &= \frac{1}{2} \sum_{i = 1}^k |f(i) - f^*(i)| \\ &= \frac{1}{2} \sum_{u \in L^*} \sum_{i \in I_u} |f(i) - f^*(i)| \\ &= \frac{1}{2} \sum_{u \in L^*} \sum_{i \in I_u} |f(i) - \bar{f}_u| , \end{aligned} \] where \(\bar{f}_u = f_u/|I_u|\) is the average value of \(f\) on \(I_u\). For \(u \in L^*\), write \[ A_u = \sum_{x \in I_u} |f(i) - \bar{f}_u| . \]
If \(|I_u| = 1\), then \(A_u = 0\), so we assume that \(|I_u| > 1\). In this case, let \(I_v\) and \(I_w\) be the left and right halves of \(I_u\). Write also \[ \begin{aligned} B_v &= \sum_{x \in I_v} |f(i) - \bar{f}_v| , \\ B_w &= \sum_{x \in I_w} |f(i) - \bar{f}_w| . \end{aligned} \] By the triangle inequality, \[ \begin{aligned} A_u &\le (\bar{f}_v - \bar{f}_u) |I_v| + (\bar{f}_u - \bar{f}_w) |I_w| + B_v + B_w \\ &= (f_v - f_w) + B_v + B_w . \end{aligned} \] Let \(i_v\) be the largest point in \(I_v\) for which \(f(i) \ge \bar{f}_v\). Then, \[ \begin{aligned} B_v &= \sum_{i \in I_v, i \le i_v} (f(i) - \bar{f}_v) + \sum_{i \in I_v, i > i_v} (\bar{f}_v - f(i)) \\ &= 2 \sum_{i \in I_v, i > i_v} (\bar{f}_v - f(i)) \\ &\le 2 |I_v| (\bar{f}_v - \bar{f}_w) \\ &= 2 (f_v - f_w) . \end{aligned} \] A similar relation holds for \(B_w\), whence \[ A_u \le 5 (f_v - f_w) \le 5 \sqrt{f_u/n} \] by the idealized splitting rule \((1)\). Putting this all together, \[ \mathrm{TV}(f, f^*) \le \frac{5}{2 \sqrt{n}} \sum_{u \in L^*} \sqrt{f_u} \le \frac{5}{2} \sqrt{\frac{\ell}{n}} \] by the Cauchy-Schwarz inequality. So for some universal constant \(c > 0\), \[ \mathcal{R}_(\mathcal{F}_k) \le c \sqrt{\ell/n} . \] So it suffices to find a uniform upper bound on \(|L^*|\).
The idea here is that each time a split occurs on a fixed level in \(T^*\) creating children \(v, w\) in order from left to right, we know that \[ f_v - f_w \ge + \sqrt{\frac{f_v + f_w}{n}} . \] So, the more splits there are on a level, the taller the density grows towards the origin. The above equation ressembles a differential equation, \[ \mathrm{d} f \ge \sqrt{f/n} , \] which has the solution \(f(x) \ge x^2/(4n)\). More formally, if \(U_j\) is the set of nodes at depth \(j - 1\) in \(T^*\) which have at least one leaf as a child, with all the children of nodes in \(U_j\) labelled \(u_1, \dots, u_{2|U_j|}\), then it can be shown that \[ f_{u_{2i}} \ge \frac{i^2}{n} . \] Let \(L_j\) be the set of leaves at level \(j\) in \(T^*\), with total mass \(q_j\). Then, ignoring integer effects, \[ q_j \ge \sum_{i = 1}^{|L_j|/2} f_{u_{2i}} \ge \sum_{i = 1}^{|L_j|/2} \frac{i^2}{n} \ge \frac{|L_j|^3}{24n} , \] and \(|L_j| \le (24 n q_j)^{1/3}\), so by Hölder’s inequality, \[ \begin{aligned} |L^*| &\le (24 n)^{1/3} \sum_{i = 1}^{\log_2 k} q_j^{1/3} \\ &\le (24 n)^{1/3} \left(\sum_{i = 1}^{\log_2 k} q_j \right)^{1/3} \left( \sum_{i = 1}^{\log_2 k} 1 \right)^{2/3} \\ &= (24 n)^{1/3} (\log_2 k)^{2/3} , \end{aligned} \] and finally \[ \mathcal{R}_n(\mathcal{F}_k) \le c \left( \frac{\log k}{n} \right)^{1/3} . \] This is just a sketch of the full computation—for the fully articulated argument, read our paper.
- Devroye, L., Reddad, T., 2019. Discrete minimax estimation with trees. Electron. J. Stat. 50, 2595–2623.


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We are using your EmonPI and EmonTX devices to monitor nearly all of our house circuits, and I think the project is great.
I would like to contribute some changes to the code, but I've never used github before.
Do you allow user submissions for changes?
For example, There's 3 I'd like to submit.
1. A change to /var/www/emoncms/Modules/vis/multigraph_edit.js to add a "tooltip" to explain what "Floating Time" means, as it wasn't obvious to me.
2. To change the /var/www/emoncms/Modules/user/user_model.php to make both the wrong username and wrong password messages the same (our box is on the internet, so I don't want to give too much information away!)
3. Change /var/www/emoncms/Modules/dashboard/Views/js/widgets/vis/vis_render.js "Mid", which doesn't mean much to "Multigraph number", and also list the multigraph name and not just the number, but I've not figured that bit out!
Maybe #2 needs to be a flag somewhere in the config to "harden" the installation, as I guess the original errors are useful for forgetful people :)
I've amended all 3 on our system without problems.
Thanks.
Re: User submissions to code
Yes, create a git fork of the emoncms repository, edit with your suggested changes, and submit a pull request to T&G.
They will review your changes and if they agree, they will merge the code into emoncms.
I've done the same several times, some accepted, some not, but looking at your suggestions, they would hopefully be gratefully received.
Paul


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Eid Miladun Nabi celebrated with religious fervour
by https://www.facebook.com/dunyanewsISLAMABAD (Dunya News) – Eid Miladun Nabi (Peace Be Upon Him), on 12th Rabi-ul-Awwal, was celebrated in Islamabad, Lahore, Quetta, Karachi, Peshawar and across the country with religious zeal and fervour amid tight security arrangements on Sunday.
In several cities, a number of events of Mehfil-i-Naat and Milad are scheduled to be held while processions will also be taken out to express love, devotion and respect for the Holy Prophet (Peace Be Upon Him). A large number of people, including religious scholars, will participate in the processions.
Special conferences and events are being arranged to pay respect to the last messenger whose life and teachings are beacon of light for the whole mankind.
The day dawned with an official 31-gun salute at the federal capital and a 21-gun salute in provincial capital cities.
Special prayers for the unity of Muslims, their progress and prosperity were offered in mosques after morning prayers.
An International Rehmatul-lil-Alameen (Peace Be Upon Him) Conference will be held in Islamabad today under the auspices of Ministry of Religious Affairs and Inter-Faith Harmony.
The theme of this year’s conference is the “State of Madinah and concept of modern Islamic Welfare State” – in the light of teachings of Holy Prophet (Peace Be Upon Him).
The opening session of the conference will be chaired by Prime Minister Imran Khan and President Dr Arif Alvi will preside over the concluding session.
A special documentary had also been prepared to air on the occasion. Senator Faisal Javed, in a statement, had said that Prime Minister Imran Khan was taking special attention in the preparation of the conference.
Prominent scholars and foreign delegates will participate in the conference and throw light on various aspects of the life and teachings of Holy Prophet (Peace Be Upon Him).
Awards and prizes will also be distributed among the position holders in Seerat Books, Maqala-e-Seerat and Naats.
Police have made foolproof security arrangements for peaceful observance of the Eid Milad across the country.
President, PM extend felicitations to Muslims
President Dr Arif Alvi and Prime Minister Imran Khan have extended their felicitations to Muslims on the occasion of Holy Prophet (Peace Be Upon Him).
In separate messages, they said the Holy Prophet (Peace Be Upon Him) established a welfare state and a role model society by better management.
The president, in his message, said the government has been striving to develop Pakistan as a welfare state based on the principles of the State of Madina.
He said the government has been making economic and social reforms in various sectors which can bring positive outcomes very soon.
The president urged the citizens particularly the religious scholars to play their role to make Pakistan a welfare state.
The PM said the thought of welfare state was, first ever, introduced by Islam in the human history. He said the Holy Prophet (Peace Be Upon Him) and Khulafa-e-Rashideen practically materialised this thought in the first Hijri Century.
He said the birth of Holy Prophet (Peace Be Upon Him) marked the end of a history of inhumanity, oppression, tyranny, ignorance, injustice and deviation from the right path and purified civilisation by inculcating characteristics like human dignity and forgiveness.


CRUEL INTENTIONS A film review by Christopher Null Copyright 1999 Christopher Null filmcritic.com
From a raw material standpoint, you can't get much better than DANGEROUS LIAISONS. Wisely, this 90's updating of LIAISONS, CRUEL INTENTIONS, is quite faithful to the original. And woe be unto those who enter INTENTIONS thinking this is a date movie.
The story so far: Kathryn (Gellar) and Sebastian (Phillippe) are spoiled, ultra-rich, rival half-siblings living in posh Upper East Side Manhattan. How does such a child while away the day?  On a whim, Kathryn challenges Sebastian to the ultimate test: deflower puritanical virgin Annette (Witherspoon) and he can have Kathryn as a prize.
Numerous side plots detract Sebastian from his goal, most notably the similar deflowering of the dim Cecile (Blair), and, of course, Sebastian falling in genuine love with Annette, for the first time in his life. Do things go badly? Well, we're talking about some very, very mean kids here. What do you think!?
Aside from a slightly happified ending, INTENTIONS is an impressive movie. Solid dialogue, luscious characters, great comic relief, and an admittedly classic story give it wings above the standard teen-oriented dreck on the market. Placing the story 200 years ahead of its origin adds surprisingly little, though, besides an automobile, cell phones, and a reference to e-mail. Oh, and lest you be depressed by the film, you can sleep well tonight, comfy in the knowledge that--in real life--Witherspoon is pregnant with Phillippe's child. How's that for irony?
A final note for people who feel CRUEL INTENTIONS may not reflect the reality of what modern American teens are really like. If the chatty, giggling pre-teens (who had faked being 17 to get into the theater and were sitting behind me) are any indication of the reality, we should all be very, *very* afraid.

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|
G24Lib
A set of convenient classes, functions and other utilities mainly for quickly writing numerical code. Provides relatively easy integration with CUDA, general Runge-Kutta methods, linear equation solvers and more.
|
A container that holds an array of booleans in a given memory context in a space efficient way, by packing them as the binary representation of another object. More...
Classes | |
| struct | bool_accessor |
An interface for the booleans held in the g24_lib::carried_bool_vector so they can be changed through an operator= . More... | |
Public Types | |
| typedef Block | block_type |
| typedef indexer | indexer_type |
| typedef bool | value_type |
Public Member Functions | |
| CUDA_ONLY_HOS | carried_bool_vector () |
| Default-construct as empty. More... | |
| CUDA_ONLY_HOS | carried_bool_vector (carried_bool_vector &&v) |
| Move-construct. More... | |
| template<class other_manager , bool other_bool> | |
| CUDA_ONLY_HOS | carried_bool_vector (carried_bool_vector< Block, indexer, other_manager, other_bool > &&v) |
| Move-construct from a different memory context. More... | |
| template<class ArrLike , class disabler = std::enable_if_t<!std::is_integral_v<ArrLike>>> | |
| CUDA_ONLY_HOS | carried_bool_vector (const ArrLike &a) |
Copy-constructs from a generic container with a size() member function. More... | |
| CUDA_ONLY_HOS | carried_bool_vector (const carried_bool_vector &v, const bool copy=default_is_copy) |
Copy-construct. For the effects of default_is_copy , see copy-constructor of g24_lib::simple_array. More... | |
| template<class other_manager , bool other_bool> | |
| CUDA_ONLY_HOS | carried_bool_vector (const carried_bool_vector< Block, indexer, other_manager, other_bool > &v, const bool copy=default_is_copy) |
Copy-construct from a different memory context. For the effects of default_is_copy , see copy-constructor of g24_lib::simple_array. More... | |
| template<class ArrLike , class disabler = std::enable_if_t<!std::is_same_v<ArrLike, bool>>> | |
| CUDA_ONLY_HOS | carried_bool_vector (const indexer size, const ArrLike &a) |
Copy-constructs from a generic container with a known size . More... | |
| CUDA_ONLY_HOS | carried_bool_vector (const indexer sz) |
Construct an array of sz booleans. More... | |
| template<class other_manager , bool copy> | |
| CUDA_ONLY_HOS | carried_bool_vector (const simple_array< bool, indexer, other_manager, copy > &v) |
Construct from a g24_lib::simple_array of booleans. More... | |
| CUDA_HOS_DEV | ~carried_bool_vector () |
| template<class stream > | |
| CUDA_ONLY_HOS void | binary_input (stream &s) |
| template<class stream > | |
| CUDA_ONLY_HOS void | binary_output (stream &s) const |
| CUDA_HOS_DEV Block & | block (const indexer i) |
Returns the block that holds the boolean with index i . More... | |
| CUDA_HOS_DEV const Block & | block (const indexer i) const |
Returns the block that holds the boolean with index i . More... | |
| CUDA_HOS_DEV indexer | blocks () const |
| The number of blocks needed to hold all the. More... | |
| CUDA_ONLY_HOS void | clear () |
| Clears the memory needed for holding the array. More... | |
| CUDA_HOS_DEV bool | deallocatable () const |
See g24_lib::simple_array::deallocatable() . More... | |
| CUDA_HOS_DEV Block *& | get_access_to_array () |
| Gives direct access to the underlying array. More... | |
| CUDA_HOS_DEV const Block * | get_access_to_array () const |
| Gives direct access to the underlying array. More... | |
| template<class parallel , class Func , class ... Args> | |
| void | operate_on_all (Func &&f, Args &&... args) |
Performs operation given by f on every element of the vector. More... | |
| CUDA_ONLY_HOS carried_bool_vector & | operator= (carried_bool_vector &&v) |
| Move-assignment operator. More... | |
| template<class other_manager , bool other_bool> | |
| CUDA_ONLY_HOS carried_bool_vector & | operator= (carried_bool_vector< Block, indexer, other_manager, other_bool > &&v) |
| Move-assignment operator from a different memory context. More... | |
| CUDA_ONLY_HOS carried_bool_vector & | operator= (const carried_bool_vector &v) |
| Assignment operator. More... | |
| template<class other_manager , bool other_bool> | |
| CUDA_ONLY_HOS carried_bool_vector & | operator= (const carried_bool_vector< Block, indexer, other_manager, other_bool > &v) |
| Assignment operator from a different memory context. More... | |
| template<class other_manager , bool other_bool> | |
| CUDA_ONLY_HOS carried_bool_vector & | operator= (const simple_array< bool, indexer, other_manager, other_bool > &c) |
Assignment operator from a g24_lib::simple_array of booleans. More... | |
| CUDA_HOS_DEV bool_accessor | operator[] (const indexer i) |
| CUDA_HOS_DEV bool | operator[] (const indexer i) const |
| CUDA_HOS_DEV void | reset (const bool to_what=false) |
Sets all booleans to to_what . More... | |
| CUDA_ONLY_HOS void | resize (const indexer new_size) |
| template<class parallel > | |
| void | set_all (const bool val) |
Sets all elements of the bool to val . More... | |
| CUDA_HOS_DEV void | set_all_simple (const bool to_what) |
Sets all booleans to to_what . More... | |
| CUDA_HOS_DEV indexer | size () const |
| The total number of booleans held in the carried_bool_vector. More... | |
| template<class stream > | |
| void | textual_input (stream &s, const bool as_bools=true) |
| template<class stream , class str = std::basic_string<typename stream::char_type>> | |
| CUDA_ONLY_HOS void | textual_output (stream &s, const str &separator=" ", const bool as_bools=true) const |
| CUDA_HOS_DEV void | write (const indexer i, const bool b) |
Sets the boolean with index i to the value of b . More... | |
Static Public Attributes | |
| static constexpr indexer | chunk = sizeof(Block)*CHAR_BIT |
| The number of booleans (bits) held in each block. More... | |
Friends | |
| template<class a , class b , class c , bool d> | |
| class | carried_bool_vector |
A container that holds an array of booleans in a given memory context in a space efficient way, by packing them as the binary representation of another object.
| Block | The type of the objects whose binary representation will hold the booleans (the blocks). |
| indexer | A type that is appropriate to hold the size of the array. |
| memory_manager | The memory manager corresponding to the memory context where the array will be held. |
| default_is_copy | See g24_lib::simple_array . |
Block
must support bitwise operations and should not have padding (that is, all bytes must be part of the object's data). In essence, one should use something that behaves like an integer type.indexer
must satisfy the constraints placed on the choice of g24_lib::Definitions::default_unsigned_indexer.memory_manager
must be a valid memory manager, that is, g24_lib::is_memory_manager<memory_manager>
should be true
.std::vector<bool>
are a template specialization that packs the booleans in a way quite similar to what's achieved here, it is not mandated by the standard to work that way. There are some trade-offs since accessing a bool requires bitwise operationsoperator[]
. Definition at line 67 of file carried_bool_vector.h.
| typedef Block g24_lib::carried_bool_vector< Block, indexer, memory_manager, default_is_copy >::block_type |
Definition at line 72 of file carried_bool_vector.h.
| typedef indexer g24_lib::carried_bool_vector< Block, indexer, memory_manager, default_is_copy >::indexer_type |
Definition at line 73 of file carried_bool_vector.h.
| typedef bool g24_lib::carried_bool_vector< Block, indexer, memory_manager, default_is_copy >::value_type |
Definition at line 74 of file carried_bool_vector.h.
|
inline |
Default-construct as empty.
Definition at line 305 of file carried_bool_vector.h.
|
inline |
Construct an array of sz
booleans.
Definition at line 312 of file carried_bool_vector.h.
|
inline |
Construct from a g24_lib::simple_array
of booleans.
Definition at line 320 of file carried_bool_vector.h.
|
inlineexplicit |
Copy-constructs from a generic container with a known size
.
a[i]
must give the i
-th boolean. Definition at line 336 of file carried_bool_vector.h.
|
inlineexplicit |
Copy-constructs from a generic container with a size()
member function.
a[i]
must give the i
-th boolean. Definition at line 350 of file carried_bool_vector.h.
|
inline |
Copy-construct. For the effects of default_is_copy
, see copy-constructor of g24_lib::simple_array.
Definition at line 361 of file carried_bool_vector.h.
|
inline |
Move-construct.
Definition at line 369 of file carried_bool_vector.h.
|
inline |
Copy-construct from a different memory context. For the effects of default_is_copy
, see copy-constructor of g24_lib::simple_array.
Definition at line 379 of file carried_bool_vector.h.
|
inline |
Move-construct from a different memory context.
Definition at line 389 of file carried_bool_vector.h.
|
inline |
Definition at line 524 of file carried_bool_vector.h.
|
inline |
Definition at line 659 of file carried_bool_vector.h.
|
inline |
Definition at line 651 of file carried_bool_vector.h.
|
inline |
Returns the block that holds the boolean with index i
.
Definition at line 491 of file carried_bool_vector.h.
|
inline |
Returns the block that holds the boolean with index i
.
Definition at line 499 of file carried_bool_vector.h.
|
inline |
The number of blocks needed to hold all the.
Total capacity will be given by multiplying the return value by chunk.
Definition at line 167 of file carried_bool_vector.h.
|
inline |
Clears the memory needed for holding the array.
Definition at line 206 of file carried_bool_vector.h.
|
inline |
See g24_lib::simple_array::deallocatable()
.
Definition at line 176 of file carried_bool_vector.h.
|
inline |
Gives direct access to the underlying array.
Definition at line 220 of file carried_bool_vector.h.
|
inline |
Gives direct access to the underlying array.
Definition at line 231 of file carried_bool_vector.h.
|
inline |
Performs operation given by f
on every element of the vector.
| f | The function to apply on the elements of the vector. |
| args | Extra arguments to be passed to f |
| Func | The type that holds the function to be applied to the elements of the vector. |
| Args | The types for any extra arguments to Func . |
f
must take as arguments a reference to the
vector and the index at which we're evaluating and any extra arguments passed to this function in args
.parallel
must be a valid type of parallelism, that is, it must satisfy g24_lib::is_parallelism
.Blocks
, so there will be roughly v.size/v::chunk
operations in parallel, each comprised of chunk
function evaluations. For sufficiently complicated functions, it could prove more useful to operate on a g24_lib::simple_array
of booleans and then convert it to a g24_lib::carried_bool_vector
, as long as there is sufficient memory for it, of course. Definition at line 736 of file carried_bool_vector.h.
|
inline |
Move-assignment operator.
Definition at line 425 of file carried_bool_vector.h.
|
inline |
Move-assignment operator from a different memory context.
Definition at line 459 of file carried_bool_vector.h.
|
inline |
Assignment operator.
Definition at line 411 of file carried_bool_vector.h.
|
inline |
Assignment operator from a different memory context.
Definition at line 441 of file carried_bool_vector.h.
|
inline |
Assignment operator from a g24_lib::simple_array
of booleans.
Definition at line 398 of file carried_bool_vector.h.
|
inline |
Definition at line 483 of file carried_bool_vector.h.
|
inline |
const
version of the carried_bool_vector
, we can forego the additional complexity of returning a bool_accessor because the boolean in the array will not need to be changed. Definition at line 478 of file carried_bool_vector.h.
|
inline |
Sets all booleans to to_what
.
g24_lib::carried_bool_vector::set_all_simple()
except for the default value. Definition at line 198 of file carried_bool_vector.h.
|
inline |
Definition at line 243 of file carried_bool_vector.h.
|
inline |
Sets all elements of the bool to val
.
| val | The value to which the booleans should be set. |
parallel
must be a valid type of parallelism, that is, it must satisfy g24_lib::is_parallelism
. Definition at line 761 of file carried_bool_vector.h.
|
inline |
Sets all booleans to to_what
.
Definition at line 184 of file carried_bool_vector.h.
|
inline |
The total number of booleans held in the carried_bool_vector.
Definition at line 155 of file carried_bool_vector.h.
|
inline |
as_bools
is true
, each boolean value is read separately, while, if false, it reads each block. Definition at line 595 of file carried_bool_vector.h.
|
inline |
as_bools
is true
, each boolean value is printed separately, while, if false, it prints each block. Definition at line 534 of file carried_bool_vector.h.
|
inline |
Sets the boolean with index i
to the value of b
.
chunk
, though particular cases can be constructed where a smaller difference still allows for thread safety. (Edge case: accessing the last boolean in a block and the first boolean in the next will be perfectly thread-safe.) Definition at line 518 of file carried_bool_vector.h.
|
friend |
Definition at line 70 of file carried_bool_vector.h.
|
staticconstexpr |
The number of booleans (bits) held in each block.
Definition at line 144 of file carried_bool_vector.h.


{% extends "base.html" %} {% block title %} About me {% endblock %} {% block main %}
Noam Sutskever
I am a first year student at the Univeristy of Toronto.
This is my entry to DjangoDash.
Hope you like it!


Calculated phonon frequencies ω cal (in this work and previous work [ 31]) and their experimental values ω exp [ 9].


Hummingbird Example
If you don't see an empty stave with one treble clef, check your javascript console!


Cool Site
home
this is the home page
cool
yeet
123
super test
- September 10, 2019
example post 2
- September 10, 2019
example post
- September 9, 2019


RealEstateCore Building Module: Overview
back to
ToC
This ontology has the following classes and properties.
Classes
Atrium
Auditorium
BackOffice
Balcony
BarRoom
Bathroom
Bedroom
BicycleGarage
Cabinet
Cinema
Classroom
CleaningRoom
ClimateControlRoom
CloakRoom
CoffeeRoom
ConferenceRoom
ConversationRoom
CookingRoom
CopyingRoom
DataServerRoom
DiningRoom
DisabledToilet
DishingRoom
DressingRoom
EducationalRoom
ElectricityRoom
ElevatorRoom
ElevatorShaft
Entrance
ExerciseRoom
ExhibitionRoom
Facade
FittingRoom
Floor
FoodHandlingRoom
Garage
GroupRoom
Hallway
Inner wall
Laboratory
LaboratoryDry
LaboratoryWet
LaundryRoom
Library
LivingRoom
MainEntrance
Office
OfficeLandscape
OfficeRoom
ParkingSlotCold
ParkingSlotWarm
Pentry
PersonalHygiene
PhoneBooth
Reception
RecordingRoom
RecreationalRoom
RestingRoom
RetailRoom
Roof, inner
Roof, outer
Sauna
ServiceEntrance
ServiceShaft
Shelter
ShelterGasLock
ShelterRoom
ShowerRoom
Slab
SmallStudyRoom
StaffRoom
Stairwell
Storage
Storey level
TelecommunicationRoom
Terrace
Theater
Toilet
TreatmentRoom
TreatmentWaitingRoom
UtilitiesRoom
Virtual building
Virtual building component
Wall
WasteManagementRoom
Workshop


The Inevitability of Conformity
Review of A Merry War (1998) (a/k/a Keep the Aspidistra Flying or Comstock and Rosemary (1997))
Seen with on 29 August 1998 with Peter at the Lincoln Plaza Cinemas for $8.75Q
When does it become painfully clear that being middle class is not all that bad? Well, for most people, settling comfortably into the bourgeoisie is not a problem. But Gordon Comstock wants to be a full-time poet, so he quits his job with New Albion Publicity and gets a low-paying job in a bookshop and writes poetry at night at a respectable boarding house nearby. Respectable, since there's an aspidistra in the window, and in his room. He laments that while the greats wrote, "Tiger tiger burning bright" he is writing ad slogans like, "Corner Tables takes his with BOVEX."
As seen in so many other British movies, class distinctions in British society are alive and well here. Here, the delineations are done with a wry wit and with a great love of language. Gordon benefits from having a Fellow Traveller for a friend--who happens to be well-tanned, stinking rich, and able to spend, as an envious Gordon points out, "have sex in the afternoon."
Richard E. Grant, as Gordon, brings a comic sense that gives the movie its entire character. His energy when delivering lines like, "Promise me we'll have sex in the afternoon," and "I've been reduced to thruppence!" (upon discovering his aptly named slim volume of poetry, "Mice," is selling for three pence), is the difference between yet another lavish British costume drama and sheer and utter joy. One of the funniest movies I have seen in a long time, actually, with a good bite.

Basically, Grant's performance overshadows the other actors', but they are all very good. Julian Wadham is the aristocratic Ravelston, who loves the working classes, but from a distance that ensures he doesn't have to smell them. Harriet Walter is the long-suffering sister; Lesley Vickerage the wisecracking, sarcastic lover of Ravelston. Barbara Leigh-Hunt is the stuffy bourgeois landlady, overly concerned with her aspidistra, while Liz Smith as Mrs. Meakin, the landlady in his reduced circumstances, is hilarity itself. That a publicized brawl in a pub ruins his career the "good" bookstore is a comment on what Britain was like at the time, and in many ways, still is. Grant makes the "ruination" far from tragic, but redemptive, cleaning himself by rolling in the mud of the working class and loving every minute of it.
 Also, it's the height of the depression. Why is everyone so happy, well-fed, and trouble-free?
It doesn't matter. It's well done and enjoyable. The cinematography is also well done, BOVEX ads going up around both town and countryside, and later, being picked at, are portentious of the inevitable conformity, the certainty of an aspidistra coming into his life one way or another. There is also some lovely original music by Mike Batt. Written by Alan Plater and based on a novel by George Orwell.
Frankly, it's on my Best Ten List of 1998.
More movie reviews by Seth Bookey, with graphics, can be found at http://www.geocities.com/Athens/2679/kino.html
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
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Related links: index of all rec.arts.movies.reviews reviews


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