{% set title = "Pani Sans - Alessio Laiso Type" %} {% set description = "Alessio Laiso Type is an independent type foundry established in 2013 and based in Lisbon, Portugal." %} {% set nav_title = "Alessio Laiso Type" %} {% extends "_layout.html" %} {% block content %}
Geometric sans - 18 styles & variable fonts
Pani Sans is a contemporary type family in 18 styles designed by Alessio Laiso. It takes inspiration from Italian rationalist and art deco typefaces, bringing them into the present with the mix of its reliable geometric structure and distinctive warm personality. The italics add to the unique character of the family by featuring distinguishing calligraphic touches. Pani Sans is fully equipped for intense professional use for both print and digital applications. It supports 219 languages, covering 100% of the Latin Plus character set, and it ships with powerful OpenType features including beautiful small caps, ligatures, stylistic alternates, fractions, tabular figures, old-style figures, and more. The variable fonts included in the family package allow you to pick the perfect weight, for unlimited design freedom.


|
| Page date Tue Mar 8 23:38:17 2011 . | Improve this page |
The class OSCPU groups all CPU related calls and functionality. Here should be defined all CPU specifics, like
The OSCPUImpl class is a portability helper for the OSCPU class.
Here are defined the non-portable methods, specific to each architecture or family.
Without having any specific functionality, the OS class is a placeholder for all µOS++ related members and methods that did not find their way in other classes.
The non-portable methods are based on the OSImpl class, where the actual implementation is defined.
The OSImpl class is a portability helper for the OS class.
Here are defined the non-portable methods, specific to each architecture or family.
The OSScheduler class implements the main µOS++ functionality, i.e. the preemptive scheduler.
The non portable methods are based on the OSSchedulerImpl class, where the actual implementation is defined.
The OSSchedulerImpl class is a portability helper for the OSScheduler class.
Here are defined the non-portable methods, specific to each architecture or family.
The OSTask class is the parent class for all tasks running in the µOS++ environment.
The OSTaskIdle class is the implementation of the µOS++ idle task, i.e. the lowest priority task that gets control when no other task is running.
It has several functionalities:
The OSTimer class is the parent class of all system timer classes.
The OSTimerTicks class implements the main timer functionality in µOS++.
As the name implies, all timing intervals of this timer are expressed in ticks, more precisely in scheduler ticks.
The OSTimerSeconds class implements the second system timer functionality, intended to measure longer intervals.
As the name implies, all timing intervals of this timer are expressed in seconds.
For systems equipped with a Real Time Clock, this timer runs completely independently, even when the device is in sleep or deep sleep mode.
For systems not equipped with a RTC, this time is derived from the existing OSTimerTicks.
The Timer class is the parent class of all custom timer classes.
The OSMutex class implements a mutual exclusion (mutex) inter-task synchronisation mechanism.
The OSEventFlags class implements an inter-task synchronisation mechanism allowing a task to wait for multiple events, defined as separate flags in a structure.
The OSDeviceDebug class is the parent class of all debug classes used for displaying trace messages.
The DeviceDebugI2C class is the implementation of OSDeviceDebug where the output device is implemented as a master I2C using two generic IP pins via bit-banging.
The main advantage of such a mechanism is independence from processor speed and from specific hardware.
The OSDeviceCharacter class is the parent class of all character devices in µOS++. A character device is defined as a device having the transfer unit as low as one ASCII character.
Example of such devices are USART, CDC USB.
The OSDeviceCharacterBuffered class is derived from OSDeviceCharacter and implements circular buffers for RX and TX.
The OSDeviceCharacterBufferedBase class is derived from OSDeviceCharacterBuffered and contain generic implementation for all USART’s.
The OSDeviceCharacterBufferedUsart0 class is derived from OSDeviceCharacterBase and contain specific implementation for USART0.
The OSDeviceCharacterBufferedUsart1 class is derived from OSDeviceCharacterBase and contain specific implementation for USART1.
The OSTimerStruct_t type definition is used in OSTimer for storing the timeout set for a certain task.
The OSTimerTicks_t type definition is used in … (TBD)
The OSEventWaitReturn_t type definition is used in … (TBD)
The OSEvent_t type definition is used in … (TBD)
The OSEventFlagsBits_t type definition is used in OSEventFlags inter-task synchronization.
The class inheritance is depicted with multilevel bulleted lists:
ASCII
CircularBlockBuffer
CircularByteBuffer
Parser
SimpleCli


Maruthi Prithivirajan
Singapore · India, Chennai ·
<EMAIL_ADDRESS>I am a Data Generalist specialising in developing and implementing large scale analytics and data driven platforms. Now getting my hands on fullstack web development. My day job involves pre-sales, technology consulting, project delivery and customer success. I enjoy learning new technologies and working on pet projects to apply and test it. Feel free to connect with me over email or LinkedIn using the links found on my home page.


Gwinnett County Cooperative Extension Services reaches over 17,000 youth through school programs.
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For court-ordered community service, please e-mail Volunteer Resources for Gwinnett County Parks and Recreation at:
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Lawrenceville, GA 30046
Primary Phone:<PHONE_NUMBER>


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I am the main container of the card I can have border too!
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Hi! My name is Jer, and I can't
wait to meet you.
I enjoy using my creativity to develop engaging,
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Portfolio
Below is a collection of various projects I've completed for clients and for my own growth as a developer. If you like what you see, I would love to discuss your needs for a custom web solution. Please feel free to drop me a line, below.
About Me
I love helping people, and I enjoy a good challenge. Being a devloper allows me to put both of them together, which means I get to tackle unique feature requests, and my clients get a web solution that fits their needs exactly.
Send me a message, and we can schedule some time to chat about how to make your dream project a reality.
In my spare time (ha!), I enjoy creating and playing music and spending quality time with my family.
Take a look at Jer's resume
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| weightsAndrews {sandwich} | R Documentation |
A set of functions implementing a class of kernel-based heteroscedasticity and autocorrelation consistent (HAC) covariance matrix estimators as introduced by Andrews (1991).
kernHAC(x, order.by = NULL, prewhite = 1, bw = bwAndrews, kernel = c("Quadratic Spectral", "Truncated", "Bartlett", "Parzen", "Tukey-Hanning"), approx = c("AR(1)", "ARMA(1,1)"), adjust = TRUE, diagnostics = FALSE, sandwich = TRUE, ar.method = "ols", tol = 1e-7, data = list(), verbose = FALSE, ...) weightsAndrews(x, order.by = NULL, bw = bwAndrews, kernel = c("Quadratic Spectral", "Truncated", "Bartlett", "Parzen", "Tukey-Hanning"), prewhite = 1, ar.method = "ols", tol = 1e-7, data = list(), verbose = FALSE, ...) bwAndrews(x, order.by = NULL, kernel = c("Quadratic Spectral", "Truncated", "Bartlett", "Parzen", "Tukey-Hanning"), approx = c("AR(1)", "ARMA(1,1)"), weights = NULL, prewhite = 1, ar.method = "ols", data = list(), ...)
x |
a fitted model object. |
order.by |
Either a vector |
prewhite |
logical or integer. Should the estimating functions
be prewhitened? If |
bw |
numeric or a function. The bandwidth of the kernel (corresponds to the
truncation lag). If set to to a function (the default is |
kernel |
a character specifying the kernel used. All kernels used are described in Andrews (1991). |
approx |
a character specifying the approximation method if the
bandwidth |
adjust |
logical. Should a finite sample adjustment be made? This amounts to multiplication with n/(n-k) where n is the number of observations and k the number of estimated parameters. |
diagnostics |
logical. Should additional model diagnostics be returned?
See |
sandwich |
logical. Should the sandwich estimator be computed?
If set to |
ar.method |
character. The |
tol |
numeric. Weights that exceed |
data |
an optional data frame containing the variables in the |
verbose |
logical. Should the bandwidth parameter used be printed? |
... |
further arguments passed to |
weights |
numeric. A vector of weights used for weighting the estimated
coefficients of the approximation model (as specified by |
kernHAC
is a convenience interface to vcovHAC
using
weightsAndrews
: first a weights function is defined and then vcovHAC
is called.
The kernel weights underlying weightsAndrews
are directly accessible via the function kweights
and require
the specification of the bandwidth parameter bw
. If this is not specified
it can be chosen adaptively by the function bwAndrews
(except for the
"Truncated"
kernel). The automatic bandwidth selection is based on
an approximation of the estimating functions by either AR(1) or ARMA(1,1) processes.
To aggregate the estimated parameters from these approximations a weighted sum
is used. The weights
in this aggregation are by default all equal to 1
except that corresponding to the intercept term which is set to 0 (unless there
is no other variable in the model) making the covariance matrix scale invariant.
Further details can be found in Andrews (1991).
The estimator of Newey & West (1987) is a special case of the class of estimators
introduced by Andrews (1991). It can be obtained using the "Bartlett"
kernel and setting bw
to lag + 1
. A convenience interface is
provided in NeweyWest
.
kernHAC
returns the same type of object as vcovHAC
which is typically just the covariance matrix.
weightsAndrews
returns a vector of weights.
bwAndrews
returns the selected bandwidth parameter.
Andrews DWK (1991). “Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimation.” Econometrica, 59, 817–858.
Newey WK & West KD (1987). “A Simple, Positive Semi-Definite, Heteroskedasticity and Autocorrelation Consistent Covariance Matrix.” Econometrica, 55, 703–708.
vcovHAC
, NeweyWest
, weightsLumley
,
weave
curve(kweights(x, kernel = "Quadratic", normalize = TRUE), from = 0, to = 3.2, xlab = "x", ylab = "k(x)") curve(kweights(x, kernel = "Bartlett", normalize = TRUE), from = 0, to = 3.2, col = 2, add = TRUE) curve(kweights(x, kernel = "Parzen", normalize = TRUE), from = 0, to = 3.2, col = 3, add = TRUE) curve(kweights(x, kernel = "Tukey", normalize = TRUE), from = 0, to = 3.2, col = 4, add = TRUE) curve(kweights(x, kernel = "Truncated", normalize = TRUE), from = 0, to = 3.2, col = 5, add = TRUE) ## fit investment equation data(Investment) fm <- lm(RealInv ~ RealGNP + RealInt, data = Investment) ## compute quadratic spectral kernel HAC estimator kernHAC(fm) kernHAC(fm, verbose = TRUE) ## use Parzen kernel instead, VAR(2) prewhitening, no finite sample ## adjustment and Newey & West (1994) bandwidth selection kernHAC(fm, kernel = "Parzen", prewhite = 2, adjust = FALSE, bw = bwNeweyWest, verbose = TRUE) ## compare with estimate under assumption of spheric errors vcov(fm)


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If you’re looking for a gate, one day you’re going to find it. And when you find it, you’re going to have to hold space for others trying to find you.And we’re all waking up so fast.


Research Fellow in Responsible Artificial Intelligence at Umeå Univesity
AI Ethics | AI Governance | Systems AI | HRI


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In this one, I'm going to show you how to scroll more than 1 button when pressing the up/down buttons of the menu.
Alright! There are 2 buttons that scroll the menu (more_btn and less_btn). Each of them scroll the menu with 31 pixels right now (because each menu item has that height). We need to change the amount of that. Come on! Let me show you how:
Let's open our index.fla file and let's open the AS pan. We are interested in these lines (219,221). As you can see, everytime we release the more_btn, our menu container goes up 31 pixels. Also we have another variable, n, that counts how many times we pressed the up/down buttons. That variables helps us in stoping the menu when the maximum(last XML node) is reached.
And now the fun part! Let's say we want to move up with 6 buttons. All we gotta do is multiply by 6 all these variables. Let's make all the changes neccesary. The lines are: 219,221,240,242,317,319,337,339.
contNewY -= 31; becomes contNewY -= 186; (that's 31*6)
n = n+1; becomes n = n+6; (that's 1*6)
Now test your movie! :) Cool, ain't it?
So the process is simple. It's just about multiplying correct those variables. My code will do the rest of it. I chose to multiply by 6 because the default lenght of the menu is 6 buttons. I thought you may want to scroll all of it ;) That's all! Thanks for buying my stuff! Q


You get full help with health costs
Because you are named on a NHS Tax Credit Exemption Certificate you, your partner and any young people under 20 included on your Tax Credit claim get free:
- NHS Prescriptions,
- NHS Dental treatment,
- Sight tests,
- NHS wigs and fabric supports.
You'll also:
- Get help towards the cost of glasses or contact lenses,


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In this post, I would like to cover what python generator is.
Before diving in more deeply, defining what “generator” is necessary, because the term “generator” is used to mean both “a function that generates an iterator” and “resulting iterator”.
Here, I would like to use the term generator
to mean a function which returns a generator object and generator iterator
to mean an object created by a generator. (This is the official way of distinguishing these two.)
According to the distinction, the following code snippet shows an example of generator
.
And, “gen_iterator” in the code snippet below should be generator iterator
.
“What is generator?”
With the clear distinction above, generator is a function that generates an iterator. In the previous post, I explained that there is a protocol in iterator:
1) __next__()
should be implemented.
2) At the end of a series, StopIteration
should be raised.
So, creating a custom iterator could be a cumbersome process.
In this regard, Generator
simplifies the creation of iterators. (much more convenient way of writing an iterator!)
Each time the yield
statement is executed the function generates a new value.
>>> gen_example = generator_example()
>>> gen_example
<generator object generator_example at 0x10efecf00>
>>> next(gen_example)
Example of an generator
0
>>> next(gen_example)
1
>>> next(gen_example)
2
>>> next(gen_example)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
StopIteration
What is notable here is that the function is not executed until the next
method gets called.
When next
method is called for the first time, the function starts executing until it reaches yield
statement.
The following example shows the interplay between yield
and call to next
method on generator iterator.
>>> gen_example = generator_example()
>>> next(gen_example)
before yield
0
>>> next(gen_example)
after yield
before yield
1
>>> next(gen_example)
after yield
before yield
2
>>> next(gen_example)
after yield
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
StopIteration
Generator Expressions
We can create a generator iterator
with the following expression:
>>> gen_example = (i for i in range(5))
>>> gen_example
<generator object <genexpr> at 0x10ddbff00>
The notable differences from list comprehensions are as follows:
- It does not construct a list
- Only useful purpose of it is iteration
- Once consumed, it can’t be reused
Generators vs. Iterators
A generator iterator
is different from iterator
which is not created by generator
.
To be specific,
- A generator is a one-time operation. You can iterate over the generated data once, but if you want to do it again, you have to call the generator function again.
- This is different than a list (which you can iterate over as many times as you want)
Here is the example:
>>> generator_iterator = (i for i in range(5))
>>> generator_iterator
<generator object <genexpr> at 0x10ddbfeb0>
>>> sum(generator_iterator)
10
>>> sum(generator_iterator)
0
References:
- https://docs.python.org/3/glossary.html
- https://anandology.com/python-practice-book/iterators.html
- http://www.dabeaz.com/generators/Generators.pdf


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Banashankari II stage,
Bangalore KA 560070 IN


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"Another one down!"
"Another one down!"
Collect 80 fragments of Gunpowder from
Chapter 14 - Mt. Rathscar (Heroic Difficulty)
Complete 10 times with Magnus in your party
(Extreme+ Difficulty)
Complete the stage with Magnus in your party
Requirement: Magnus must kill Ariel (Heroic Difficulty)
| Item Stats + Max Enchant | ||
|---|---|---|
| Max Health | 1500 | +1351 |
| Physical Attack | 85 | +77 |
| Magic Armor | 100 | +91 |
| Physical Crit | 40 | +35 |
| Physical Pierce | 40 | +35 |
| Forge Bonus Stats | |||
|---|---|---|---|
| P. Attack | ≥ 40 | P. Pierce | +30 |
| M. Armor | ≥ 100 | P. Crit | +70 |
| P. Armor | ≥ 200 | P. Attack | +150 |


#include <NoiseSystem.h>
Static Public Member Functions | |
| static int | getNumberOfCPUs () |
| static Pipeline1D * | createOptimalPipeline1D () |
| static Pipeline2D * | createOptimalPipeline2D () |
| static Pipeline3D * | createOptimalPipeline3D () |
| static JobQueue * | createOptimalJobQueue () |
| int noisepp::utils::System::getNumberOfCPUs | ( | ) | [static] |
Returns the number of CPU cores avaible on the running system.
| Pipeline1D * noisepp::utils::System::createOptimalPipeline1D | ( | ) | [static] |
Creates an optimal 1D pipeline using as many threads as there are CPU cores avaible.
| Pipeline2D * noisepp::utils::System::createOptimalPipeline2D | ( | ) | [static] |
Creates an optimal 2D pipeline using as many threads as there are CPU cores avaible.
| Pipeline3D * noisepp::utils::System::createOptimalPipeline3D | ( | ) | [static] |
Creates an optimal 3D pipeline using as many threads as there are CPU cores avaible.
| JobQueue * noisepp::utils::System::createOptimalJobQueue | ( | ) | [static] |
Creates an optimal job queue using as many threads as there are CPU cores avaible.


Welcome to Pavan's Board Game Reviews
Current Reviews
I'm always looking for ideas on games to review:
Any Suggestions?


Architecture¶
The architectural diagram of the tool is as above.
How it works¶
Once the tool is started , engine gets kicked off and it runs forever. The main input for this engine is the configuration file. Based on the configuration file data, engine goes ahead and probes twitter/github/reddit for matches configured in configuration file. Upon a match is found, the link of twitter/github/reddit pushed to sqlite DB and an email alert is triggered.
In case of pastie sites the logic is different. The reason being they do not support search nor streaming api’s. Hence any new pastie made by any user, the link is fetched and pushed to kafka. From kafka any new link added is picked up and searched for matches configured in configuration file. Upon a match is found, the link of pastie site is pushed to sqlite DB and an email alert is triggered.


Back to Map
Look for: Narrow corky projecting ridges on bark, bright green 2-5 inch ovate leaves
Origin: Central and northeastern North America
Common Hackberry is easily distinguished by its cork-like bark with warty protuberances and the distinctly asymmetrical base of each leaf. The orange-red to purple black fruits that are produce in September and October taste just like dates and are relished by wildlife. Too bad there is only a thin layer of edible flesh on each fruit! Hackberry is a native to the northeastern two thirds of the country and is a relative of the elms.
In earlier years, its tough, flexible wood was used for barrel hoops, and many a pioneer cabin was equipped with durable hackberry wood flooring. The tree was first cultivated in 1636. Other common names given to the hackberry include common hackberry, sugarberry, nettletree, beaverwood, northern hackberry and American hackberry.
USDA Zones 3-9


--- layout: post title: SDK Help categories: [] tags: dotnet-sdk status: publish type: post published: true meta: {} ---
To celebrate the announcement of HPE Content Manager I am having my own launch of the first phase of the new, unnoficial, online 83 .Net SDK help site.
It is made up of:
Depending on the interest levels there will be more articles to come.


Bacon ipsum dolor amet tongue tenderloin shank ball tip. Cow t-bone pastrami, jerky corned beef meatloaf swine jowl tail prosciutto meatball. Filet mignon tongue pork belly short ribs, fatback capicola hamburger cow turkey cupim. Rump cow prosciutto, landjaeger pork belly ham hock frankfurter tri-tip spare ribs sausage ground round shankle burgdoggen ribeye. Drumstick jowl picanha pork belly spare ribs. Buffalo ham andouille, chuck bacon pork chop sirloin leberkas pastrami rump meatloaf prosciutto. Pork chop biltong sirloin beef, burgdoggen chuck kevin short ribs.
Turkey spare ribs capicola tenderloin pork sausage. Cow pancetta frankfurter filet mignon tri-tip. Turducken picanha jerky corned beef, beef t-bone cupim boudin shankle hamburger. Pork loin leberkas sirloin short ribs sausage ball tip drumstick tail shoulder jerky swine t-bone tenderloin. Strip steak spare ribs jowl, short loin cow ham hock kielbasa.


In , had an average of business(es) of this kind within one mile of every resident, within two miles, and within three miles.
This makes among the census tracts in Chicago.


# Copyright The PyTorch Lightning team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import ast
import csv
import inspect
import logging
import os
from argparse import Namespace
from copy import deepcopy
from enum import Enum
from typing import Any, Callable, Dict, IO, MutableMapping, Optional, Union
from warnings import warn
import torch
import yaml
from pytorch_lightning.utilities import _OMEGACONF_AVAILABLE, AttributeDict
from pytorch_lightning.utilities.apply_func import apply_to_collection
from pytorch_lightning.utilities.cloud_io import get_filesystem
from pytorch_lightning.utilities.cloud_io import load as pl_load
from pytorch_lightning.utilities.migration import pl_legacy_patch
from pytorch_lightning.utilities.parsing import parse_class_init_keys
from pytorch_lightning.utilities.rank_zero import rank_zero_warn
log = logging.getLogger(__name__)
PRIMITIVE_TYPES = (bool, int, float, str)
ALLOWED_CONFIG_TYPES = (AttributeDict, MutableMapping, Namespace)
if _OMEGACONF_AVAILABLE:
from omegaconf import OmegaConf
from omegaconf.dictconfig import DictConfig
from omegaconf.errors import UnsupportedValueType, ValidationError
# the older shall be on the top
CHECKPOINT_PAST_HPARAMS_KEYS = ("hparams", "module_arguments") # used in 0.7.6
class ModelIO:
CHECKPOINT_HYPER_PARAMS_KEY = "hyper_parameters"
CHECKPOINT_HYPER_PARAMS_NAME = "hparams_name"
CHECKPOINT_HYPER_PARAMS_TYPE = "hparams_type"
@classmethod
def load_from_checkpoint(
cls,
checkpoint_path: Union[str, IO],
map_location: Optional[Union[Dict[str, str], str, torch.device, int, Callable]] = None,
hparams_file: Optional[str] = None,
strict: bool = True,
**kwargs,
):
r"""
Primary way of loading a model from a checkpoint. When Lightning saves a checkpoint
it stores the arguments passed to ``__init__`` in the checkpoint under ``"hyper_parameters"``.
Any arguments specified through \*\*kwargs will override args stored in ``"hyper_parameters"``.
Args:
checkpoint_path: Path to checkpoint. This can also be a URL, or file-like object
map_location:
If your checkpoint saved a GPU model and you now load on CPUs
or a different number of GPUs, use this to map to the new setup.
The behaviour is the same as in :func:`torch.load`.
hparams_file: Optional path to a .yaml file with hierarchical structure
as in this example::
drop_prob: 0.2
dataloader:
batch_size: 32
You most likely won't need this since Lightning will always save the hyperparameters
to the checkpoint.
However, if your checkpoint weights don't have the hyperparameters saved,
use this method to pass in a .yaml file with the hparams you'd like to use.
These will be converted into a :class:`~dict` and passed into your
:class:`LightningModule` for use.
If your model's ``hparams`` argument is :class:`~argparse.Namespace`
and .yaml file has hierarchical structure, you need to refactor your model to treat
``hparams`` as :class:`~dict`.
strict: Whether to strictly enforce that the keys in :attr:`checkpoint_path` match the keys
returned by this module's state dict.
kwargs: Any extra keyword args needed to init the model. Can also be used to override saved
hyperparameter values.
Return:
:class:`LightningModule` instance with loaded weights and hyperparameters (if available).
Note:
``load_from_checkpoint`` is a **class** method. You should use your :class:`LightningModule`
**class** to call it instead of the :class:`LightningModule` instance.
Example::
# load weights without mapping ...
model = MyLightningModule.load_from_checkpoint('path/to/checkpoint.ckpt')
# or load weights mapping all weights from GPU 1 to GPU 0 ...
map_location = {'cuda:1':'cuda:0'}
model = MyLightningModule.load_from_checkpoint(
'path/to/checkpoint.ckpt',
map_location=map_location
)
# or load weights and hyperparameters from separate files.
model = MyLightningModule.load_from_checkpoint(
'path/to/checkpoint.ckpt',
hparams_file='/path/to/hparams_file.yaml'
)
# override some of the params with new values
model = MyLightningModule.load_from_checkpoint(
PATH,
num_layers=128,
pretrained_ckpt_path=NEW_PATH,
)
# predict
pretrained_model.eval()
pretrained_model.freeze()
y_hat = pretrained_model(x)
"""
with pl_legacy_patch():
if map_location is not None:
checkpoint = pl_load(checkpoint_path, map_location=map_location)
else:
checkpoint = pl_load(checkpoint_path, map_location=lambda storage, loc: storage)
if hparams_file is not None:
extension = hparams_file.split(".")[-1]
if extension.lower() == "csv":
hparams = load_hparams_from_tags_csv(hparams_file)
elif extension.lower() in ("yml", "yaml"):
hparams = load_hparams_from_yaml(hparams_file)
else:
raise ValueError(".csv, .yml or .yaml is required for `hparams_file`")
hparams["on_gpu"] = False
# overwrite hparams by the given file
checkpoint[cls.CHECKPOINT_HYPER_PARAMS_KEY] = hparams
# for past checkpoint need to add the new key
if cls.CHECKPOINT_HYPER_PARAMS_KEY not in checkpoint:
checkpoint[cls.CHECKPOINT_HYPER_PARAMS_KEY] = {}
# override the hparams with values that were passed in
checkpoint[cls.CHECKPOINT_HYPER_PARAMS_KEY].update(kwargs)
model = cls._load_model_state(checkpoint, strict=strict, **kwargs)
return model
@classmethod
def _load_model_state(cls, checkpoint: Dict[str, Any], strict: bool = True, **cls_kwargs_new):
cls_spec = inspect.getfullargspec(cls.__init__)
cls_init_args_name = inspect.signature(cls.__init__).parameters.keys()
self_var, args_var, kwargs_var = parse_class_init_keys(cls)
drop_names = [n for n in (self_var, args_var, kwargs_var) if n]
cls_init_args_name = list(filter(lambda n: n not in drop_names, cls_init_args_name))
cls_kwargs_loaded = {}
# pass in the values we saved automatically
if cls.CHECKPOINT_HYPER_PARAMS_KEY in checkpoint:
# 1. (backward compatibility) Try to restore model hparams from checkpoint using old/past keys
for _old_hparam_key in CHECKPOINT_PAST_HPARAMS_KEYS:
cls_kwargs_loaded.update(checkpoint.get(_old_hparam_key, {}))
# 2. Try to restore model hparams from checkpoint using the new key
_new_hparam_key = cls.CHECKPOINT_HYPER_PARAMS_KEY
cls_kwargs_loaded.update(checkpoint.get(_new_hparam_key))
# 3. Ensure that `cls_kwargs_old` has the right type, back compatibility between dict and Namespace
cls_kwargs_loaded = _convert_loaded_hparams(
cls_kwargs_loaded, checkpoint.get(cls.CHECKPOINT_HYPER_PARAMS_TYPE)
)
# 4. Update cls_kwargs_new with cls_kwargs_old, such that new has higher priority
args_name = checkpoint.get(cls.CHECKPOINT_HYPER_PARAMS_NAME)
if args_name and args_name in cls_init_args_name:
cls_kwargs_loaded = {args_name: cls_kwargs_loaded}
_cls_kwargs = {}
_cls_kwargs.update(cls_kwargs_loaded)
_cls_kwargs.update(cls_kwargs_new)
if not cls_spec.varkw:
# filter kwargs according to class init unless it allows any argument via kwargs
_cls_kwargs = {k: v for k, v in _cls_kwargs.items() if k in cls_init_args_name}
model = cls(**_cls_kwargs)
# give model a chance to load something
model.on_load_checkpoint(checkpoint)
# load the state_dict on the model automatically
keys = model.load_state_dict(checkpoint["state_dict"], strict=strict)
if not strict:
if keys.missing_keys:
rank_zero_warn(
f"Found keys that are in the model state dict but not in the checkpoint: {keys.missing_keys}"
)
if keys.unexpected_keys:
rank_zero_warn(
f"Found keys that are not in the model state dict but in the checkpoint: {keys.unexpected_keys}"
)
return model
# -------------------------
# OPTIONAL HOOKS
# -------------------------
def on_hpc_save(self, checkpoint: Dict[str, Any]) -> None:
"""Hook to do whatever you need right before Slurm manager saves the model.
Args:
checkpoint: A dictionary in which you can save variables to save in a checkpoint.
Contents need to be pickleable.
.. deprecated:: v1.6
This method is deprecated in v1.6 and will be removed in v1.8.
Please use ``LightningModule.on_save_checkpoint`` instead.
"""
def on_hpc_load(self, checkpoint: Dict[str, Any]) -> None:
"""Hook to do whatever you need right before Slurm manager loads the model.
Args:
checkpoint: A dictionary with variables from the checkpoint.
.. deprecated:: v1.6
This method is deprecated in v1.6 and will be removed in v1.8.
Please use ``LightningModule.on_load_checkpoint`` instead.
"""
def _convert_loaded_hparams(model_args: dict, hparams_type: Optional[Union[Callable, str]] = None) -> object:
"""Convert hparams according given type in callable or string (past) format."""
# if not hparams type define
if not hparams_type:
return model_args
# if past checkpoint loaded, convert str to callable
if isinstance(hparams_type, str):
hparams_type = AttributeDict
# convert hparams
return hparams_type(model_args)
def update_hparams(hparams: dict, updates: dict) -> None:
"""Overrides hparams with new values.
>>> hparams = {'c': 4}
>>> update_hparams(hparams, {'a': {'b': 2}, 'c': 1})
>>> hparams['a']['b'], hparams['c']
(2, 1)
>>> update_hparams(hparams, {'a': {'b': 4}, 'c': 7})
>>> hparams['a']['b'], hparams['c']
(4, 7)
Args:
hparams: the original params and also target object
updates: new params to be used as update
"""
for k, v in updates.items():
# if missing, add the key
if k not in hparams:
hparams[k] = v
continue
# recurse if dictionary
if isinstance(v, dict):
update_hparams(hparams[k], updates[k])
else:
# update the value
hparams.update({k: v})
def load_hparams_from_tags_csv(tags_csv: str) -> Dict[str, Any]:
"""Load hparams from a file.
>>> hparams = Namespace(batch_size=32, learning_rate=0.001, data_root='./any/path/here')
>>> path_csv = os.path.join('.', 'testing-hparams.csv')
>>> save_hparams_to_tags_csv(path_csv, hparams)
>>> hparams_new = load_hparams_from_tags_csv(path_csv)
>>> vars(hparams) == hparams_new
True
>>> os.remove(path_csv)
"""
fs = get_filesystem(tags_csv)
if not fs.exists(tags_csv):
rank_zero_warn(f"Missing Tags: {tags_csv}.", category=RuntimeWarning)
return {}
with fs.open(tags_csv, "r", newline="") as fp:
csv_reader = csv.reader(fp, delimiter=",")
tags = {row[0]: convert(row[1]) for row in list(csv_reader)[1:]}
return tags
def save_hparams_to_tags_csv(tags_csv: str, hparams: Union[dict, Namespace]) -> None:
fs = get_filesystem(tags_csv)
if not fs.isdir(os.path.dirname(tags_csv)):
raise RuntimeError(f"Missing folder: {os.path.dirname(tags_csv)}.")
if isinstance(hparams, Namespace):
hparams = vars(hparams)
with fs.open(tags_csv, "w", newline="") as fp:
fieldnames = ["key", "value"]
writer = csv.DictWriter(fp, fieldnames=fieldnames)
writer.writerow({"key": "key", "value": "value"})
for k, v in hparams.items():
writer.writerow({"key": k, "value": v})
def load_hparams_from_yaml(config_yaml: str, use_omegaconf: bool = True) -> Dict[str, Any]:
"""Load hparams from a file.
Args:
config_yaml: Path to config yaml file
use_omegaconf: If omegaconf is available and ``use_omegaconf=True``,
the hparams will be converted to ``DictConfig`` if possible.
>>> hparams = Namespace(batch_size=32, learning_rate=0.001, data_root='./any/path/here')
>>> path_yaml = './testing-hparams.yaml'
>>> save_hparams_to_yaml(path_yaml, hparams)
>>> hparams_new = load_hparams_from_yaml(path_yaml)
>>> vars(hparams) == hparams_new
True
>>> os.remove(path_yaml)
"""
fs = get_filesystem(config_yaml)
if not fs.exists(config_yaml):
rank_zero_warn(f"Missing Tags: {config_yaml}.", category=RuntimeWarning)
return {}
with fs.open(config_yaml, "r") as fp:
hparams = yaml.full_load(fp)
if _OMEGACONF_AVAILABLE:
if use_omegaconf:
try:
return OmegaConf.create(hparams)
except (UnsupportedValueType, ValidationError):
pass
return hparams
def save_hparams_to_yaml(config_yaml, hparams: Union[dict, Namespace], use_omegaconf: bool = True) -> None:
"""
Args:
config_yaml: path to new YAML file
hparams: parameters to be saved
use_omegaconf: If omegaconf is available and ``use_omegaconf=True``,
the hparams will be converted to ``DictConfig`` if possible.
"""
fs = get_filesystem(config_yaml)
if not fs.isdir(os.path.dirname(config_yaml)):
raise RuntimeError(f"Missing folder: {os.path.dirname(config_yaml)}.")
# convert Namespace or AD to dict
if isinstance(hparams, Namespace):
hparams = vars(hparams)
elif isinstance(hparams, AttributeDict):
hparams = dict(hparams)
# saving with OmegaConf objects
if _OMEGACONF_AVAILABLE and use_omegaconf:
# deepcopy: hparams from user shouldn't be resolved
hparams = deepcopy(hparams)
hparams = apply_to_collection(hparams, DictConfig, OmegaConf.to_container, resolve=True)
with fs.open(config_yaml, "w", encoding="utf-8") as fp:
try:
OmegaConf.save(hparams, fp)
return
except (UnsupportedValueType, ValidationError):
pass
if not isinstance(hparams, dict):
raise TypeError("hparams must be dictionary")
hparams_allowed = {}
# drop parameters which contain some strange datatypes as fsspec
for k, v in hparams.items():
try:
v = v.name if isinstance(v, Enum) else v
yaml.dump(v)
except TypeError:
warn(f"Skipping '{k}' parameter because it is not possible to safely dump to YAML.")
hparams[k] = type(v).__name__
else:
hparams_allowed[k] = v
# saving the standard way
with fs.open(config_yaml, "w", newline="") as fp:
yaml.dump(hparams_allowed, fp)
def convert(val: str) -> Union[int, float, bool, str]:
try:
return ast.literal_eval(val)
except (ValueError, SyntaxError) as err:
log.debug(err)
return val


UPDATE: Mara just got promoted to head barista! Congratulate her @marasinclair
54% Compared Last Month
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UPDATE: Mara just got promoted to head barista! Congratulate her @marasinclair
Margaret Woods
Block Dashboard created by Basicoh.
Special Thanks to Highcharts, Linecons and Bootstrap for their amazing tools.


Health App
Heart Disease
Diabetes
Breast Cancer
Liver Disease
Know your DIABETES situation..from here
No. of Pregnencies
Glucose Level
Current Blood Pressure
Enter the Body Mass Index
Diabetes Pedigree Function
Age
Predict


You can mass upload contracts here. All previous contracts will be deleted when you upload. The columns of the CSV you upload must be the following: Company, Plan Name, Coin, Algorithm, Hashrate, Units, Contract Period (Months), Payout Currency, Maintenance Fee (USD), Price (USD), Price (Other), Feature 1, Feature 2, Feature 3, Feature 4, Location, Payment Methods, Referral URL, Referral Code, Promotion.


@(params: Map[String, Any]) @uk.gov.hmrc.hmrcemailrenderer.templates.helpers.html.template_main(params, "A team member has been removed from your application") {
@{params("email")} has been removed from @{params("applicationName")} by another admin.
They can no longer access this application.
From HMRC @{params.getOrElse("developerHubTitle", "Developer Hub")}
}


Theme of Ludum Dare 40 was The More you Have, the Worse it Is, my entry is a fishing game.
Using mouse or touch input, you have to catch as many fishes as possible.
Catching endangered species like turtles or tuna clutters your net, making the ship slower.
Somefin In The Way ranked 64th in Graphics, among 2800 contestants.


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---
layout: post
title: "My Priorities When Choosing What to Eat"
---
In the order of vital to barely a factor.
- How much and how long it will take to wash up kitchenware used to prepare and consume the meal. Ideally the meal can be prepared and consumed with a single dish.
- How long it will take to prepare.
- If it requires cooking, how much attention does it require while cooking.
- Taste.
- Nutritional value.
- Variety. Both within a single meal and between meals I’ve eaten recently.


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com.mway.bluerange.android.sdk.common
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com.mway.bluerange.android.sdk.core.aggregating
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com.mway.bluerange.android.sdk.core.reporting
com.mway.bluerange.android.sdk.core.scanning
com.mway.bluerange.android.sdk.core.scanning.messages
com.mway.bluerange.android.sdk.core.streaming
com.mway.bluerange.android.sdk.core.triggering
com.mway.bluerange.android.sdk.core.triggering.rules
com.mway.bluerange.android.sdk.core.triggering.rules.locking
com.mway.bluerange.android.sdk.services
com.mway.bluerange.android.sdk.services.analytics
com.mway.bluerange.android.sdk.services.campaigns
com.mway.bluerange.android.sdk.services.campaigns.trigger
com.mway.bluerange.android.sdk.services.campaigns.trigger.actions.content
com.mway.bluerange.android.sdk.services.campaigns.trigger.actions.notification
com.mway.bluerange.android.sdk.services.campaigns.trigger.actions.tag
com.mway.bluerange.android.sdk.services.campaigns.trigger.registry
com.mway.bluerange.android.sdk.services.configuration
com.mway.bluerange.android.sdk.services.relution
com.mway.bluerange.android.sdk.services.relution.filter
com.mway.bluerange.android.sdk.services.relution.model
com.mway.bluerange.android.sdk.services.tags
com.mway.bluerange.android.sdk.services.trigger
com.mway.bluerange.android.sdk.services.utils
com.mway.bluerange.android.sdk.utils.io
com.mway.bluerange.android.sdk.utils.logging
com.mway.bluerange.android.sdk.utils.network
com.mway.bluerange.android.sdk.utils.platform
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{% extends "base.html" %} {% block title %}Watermark{% endblock %} {% block page_content %}
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Control Blocks have a strip of LEDs which can be controlled via an LEDRow object.
A pointer to an LEDRow object can be obtained from the Block::getLEDRow() method of a Block — see the Discovering BLOCKS section for details of how to obtain a Block object. Once you have an LEDRow there are a few functions that you can use to interact with the strip of LEDs on a device. A code snippet showing how to turn the whole strip of LEDs on a Block yellow is shown below.
class BlockLEDExample
{
public:
void setWholeLEDRowYellow (
Block& block)
{
for (int i = 0; i < ledRow->getNumLEDs(); ++i)
ledRow->setLEDColour (i,
LEDColour (0xffffff00));
}
};
Represents an individual BLOCKS device.
Definition: roli_Block.h:31
virtual LEDRow * getLEDRow()=0
If this block has a row of LEDs, this will return an object to control it.
A simple ARGB colour class for setting LEDs.
Definition: roli_LEDGrid.h:31
Example usage
To add this functionality to the BlockFinder example project, add the above function to the BlockFinder class implementation. Then in the topologyChanged()
callback, check if the connected Block is a Control Block and call the above function as shown below:
void topologyChanged() override
{
for (auto& block : currentTopology.blocks)
{
{
setWholeLEDRowYellow (*block);
}
}
}
@ loopBlock
Loop control block type.
Definition: roli_Block.h:45
@ liveBlock
Live control block type.
Definition: roli_Block.h:44
@ touchBlock
Touch control block type.
Definition: roli_Block.h:47
@ developerControlBlock
Developer control block type.
Definition: roli_Block.h:46
virtual Type getType() const =0
Returns the type of this device.
If you run the application now and connect a Control Block, you should see the LEDs in the strip turn yellow.
The LED strip on a Control Block
Learn more about other Block methods from the following pages:
Getting touch events
Getting control button events
Controlling LED grids
Controlling control buttons


Chemistry 104A is the first of two classes in the canonical inorganic chemistry series that is offered at the undergraduate level. Students will build upon concepts mentioned in Chem 4A, although that class is not absolutely necessary (some sort of general chemistry knowledge is fine). Chemistry 104A is focused more towards atomic structure and bonding (without using any quantum mechanics), while Chemistry 104B is organometallic chemistry. Chemistry 104B directly builds off of the group theory concepts learned in Chemistry 104A.
The course looks at a broad spectrum of organic compounds, and typically 2-5 lecture days are spent on each topic (see below). The course also includes a weekly 5-hour lab that closely supplements the material learned in lecture. The lab requires the usage and interpretation of spectra from commonly utilized instrumentation such as mass spectrometry, HPLC, and NMR. Programs such as MestReNova and ChemDraw will also be utilized to interpret data. An analysis of your sample-derived NMR will typically be required every week.
CHEM 1B, 4B, or 3A (Required) with grade of C- or higher
Course is only offered in the fall
3 hours of lecture per week, 5 hours per problem set.
The class is predominantly juniors and seniors, with a noticeable chunk of sophomores. This class is not time-intensive, so feel free to take during a harder semester.
Quantum mechanics is not a prerequisite. Having previously taken quantum will not give you any sort of advantage here. Bonding concepts in this course are taught from a qualitative symmetry perspective, not a mathematical one.
You will likely have to do some readings to keep up with the course material, but the textbook (Miessler and Tarr) is very good. This class is not time-intensive.
The “topics covered” section above, lists some topics which you may have encountered in general chemistry (i.e. Chem 4A or others) before. However, Chem 104A delves into those topics in greater depth than before.
The last third of the class (solid state chemistry) is a repeat of concepts learned in MSE 45. Everything then will thus be a review for you, if you’ve previously taken MSE 45. But this class (Chem 104A) assumes you haven’t taken MSE 45, and teaches you from the basics.
This class may get dry at some points, but is necessary to learn before Chem 104B. This class is more on theory, whereas Chem 104B, its counterpart, is more on applications in understanding organometallic chemistry from a synthetic chemist’s perspective.
Written by: Alex Oanta
Last edited: Spring 2018


Select to detect the indentation style in the current file and use this style instead of the indents specified in
the Code Style settings for the specific language.
IntelliJ IDEA displays the indentation information in the status bar of the editor. You can click the indentation
information to see the available actions, such as enable or disable this option, and change the current indentation
to the ones specified in the Code Style settings for the specific language.


The following code allows a user to change their credentials. Unfortunately, the code enters the new credentials into the credentials repository without verifying that it is the actual user changing the credentials.
public boolean changePassword(String user, char[] newPass)
{
// The application fails to re-authenticate the user
// Verify that new password meets password requirements
// Update the credential store with the new password
}
The following code allows a user to change their credentials. Before entering the new credentials into the credentials repository, the code verifies that it is the actual user doing the credentials change.
public boolean changePassword(String user, char[] oldPass, char[] newPass)
{
// The application forces re-authentication
if(!validateUser(user, oldPass))
{
return false;
}
// Verify that new password meets password requirements
// Update the credential store with the new password
}


In most African countries, there is no free source of high quality, up-to-date legislation. Millions of Africans do not have access to the laws that govern them.
Laws.Africa makes African law more accessible and usable. We provide digital, high-quality and accurate African law to audiences in Africa and the world, in support of the rule of law and development.
Access to the law supports human rights and access to justice and helps businesses and communities to thrive.
Human rights, good governance and access to justice
Increased availability of up-to-date legislation makes judicial systems more efficient, improves access to justice and supports human rights.
An Africa of good governance, democracy, respect for human rights, justice and the rule of law
Good governance and efficient legal systems
Legal systems cannot function fairly or effectively without shared agreement on what the law says. Both the public and private sectors must have equal access to the text of the law.
Through our publication partners, Laws.Africa provides current and reliable digital legislation to judges, magistrates, advocates, attorneys, researchers, students and governments.
- Legal practitioners have up-to-date access to the latest legislation.
- Acts are updated within days, not years.
- Sole practitioners, and both small and large law firms, all have equal access, for free.
- Together with AfricanLII.org, we save the African legal community millions of dollars in subscription fees every year.
We conduct ongoing user research to understand the needs of a wide range of legal information users and stakeholders across Africa, and use this to continually improve the availability and accessibility of this information.
{% assign case_study = site.case-studies | where: 'id', '/case-studies/aga' | first %} {% include case_study_mini_card.html case_study=case_study %}Respect for the law
Everyone has the right to know the laws that govern them, and the responsibility to act within those laws. Free and equal access to the law provides a foundation for equality, conflict-resolution and empowerment, and helps communities to cooperate and function effectively.
Laws.Africa works with publishing partners to take the law to those who need it. Our technology underpins and enables AfricanLII.org, the largest collection of freely available African legal information in the world, serving hundreds of thousands of users every month.
I am [a] resident in deep rural vicinity Sekhukhuneland Central, aged 73.
May I be supplied with: Magistrates Court Act; Public Prosecutors' Act; Attorneys' Act; South African Statute books; Gender violance Act; Land reform, restitution and redistribution Act.
Capacity building within African governments
Many African governments lack the capacity to manage their own legislation and are forced to delegate the consolidation and publication of their laws to private companies. They must then buy back their own laws with restrictive licensing that limits the re-use.
Laws.Africa re-capacitates African governments to modernise their legislation publication processes and make foundational legal information available to the public. We believe in open access and ensuring that governments have full ownership of their legislation.
We offer our platforms, knowledge base and training to Attorneys General’s offices, Law Reform Commissions, Government Printers, Parliaments and Judiciaries across the continent in support of their work and mandates.
{% assign case_study = site.case-studies | where: 'id', '/case-studies/kenyalaw' | first %} {% include case_study_mini_card.html case_study=case_study %}Supporting civil society organisations
Laws.Africa works with funders, the legal and justice sectors, and non-profit organisations to help them incorporate primary legal information from our openly licensed collections into their access to justice activities. This enables more efficient, higher-impact outreach and programming.
{% assign case_study = site.case-studies | where: 'id', '/case-studies/c4ads' | first %} {% include case_study_mini_card.html case_study=case_study %}Supporting business and development
Improving access to the law lowers the cost of doing business and improves investment.
Enhancing the efficiency of the judicial system can improve the business climate, foster innovation, attract foreign direct investment and secure tax revenues.
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Businesses of all sizes are faced with an ever-greater need for regulatory compliance. Small and medium businesses in particular are negatively affected if they do not have access to up-to-date regulations, placing their businesses, customers and employees at risk.
Regional, national and municipal regulations are all important parts of the regulatory landscape. From cross-border trade to waste disposal for small hair salons, Laws.Africa’s growing collection of African acts and regulations evens the playing field for businesses of all sizes.
{% assign case_study = site.case-studies | where: 'id', '/case-studies/spoton' | first %} {% include case_study_mini_card.html id='/case-studies/spoton' %}Women-owned business, small business and informal traders
Small businesses and the informal sector are an essential part of African economies, yet they have limited access to professional legal advice and resources. Free access to basic legal information helps these businesses to grow and support families and communities.
Use of law to enforce land rights and ensure that women can access loans often means more equal power for women within the home and broader community, as well as enabling them to realize economic opportunities and safeguard their family's future if they become the sole provider.
Enabling innovation
Our machine-readable legislation data is a building block for innovators and entrepreneurs. Traditional Word and PDF files lock in value and prevent re-use. Laws.Africa uses the open Akoma Ntoso XML standard for legislative documents, which separates content, structure and presentation and supports analysis, machine learning and app development.
Our legislation content is available for free for non-profit use, and under flexible licensing terms for commercial applications.
We keep the law up to date so you don’t have to, letting you focus on what makes your business unique.
→ Use Laws.Africa content to power your business and research


Reports any usages of
System.out
or
System.err
. These are often temporary debugging statements, and should probably be either removed from production code, or replaced by a more robust logging facility.


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Regular Mortgage
- Owning a home can be one of the most rewarding experiences of your life. It can also be one of the most expensive purchases you'll make. Having the right mortgage will not only make the dream a reality but can also ensure you don't go broke living it.
- We offer the best rate on regular mortgages to qualified individuals on their residences. Fill in our application, credit report, and permission for inspection, and you are on your way!
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A struct describing a rectangle
Create a Rectangle
- (instancetype)initWithX:(float)x
y:(float)y
width:(float)width
height:(float)height;
init!(x: Float, y: Float, width: Float, height: Float)
The top-left x value
The top-left y value
The width
The height
An new SDLRectangle object
Create a Rectangle from a CGRect
- (instancetype)initWithCGRect:(CGRect)rect;
init!(cgRect rect: CGRect)
The rectangle to use
An new SDLRectangle object
The X-coordinate of the user control
Required, Float
@property (readwrite, strong, nonatomic) NSNumber<SDLFloat> *x;
var x: (NSNumber & SDLFloat)! { get set }
The Y-coordinate of the user control
Required, Float
@property (readwrite, strong, nonatomic) NSNumber<SDLFloat> *y;
var y: (NSNumber & SDLFloat)! { get set }
The width of the user control’s bounding rectangle
Required, Float
@property (readwrite, strong, nonatomic) NSNumber<SDLFloat> *width;
var width: (NSNumber & SDLFloat)! { get set }
The height of the user control’s bounding rectangle
Required, Float
@property (readwrite, strong, nonatomic) NSNumber<SDLFloat> *height;
var height: (NSNumber & SDLFloat)! { get set }


sienna
indianred
orangered
darkcyan
darkgoldenrod
limegreen
gold
mediumturquoise
skyblue
hotpink
indianred
lightskyblue
cornflowerblue
crimson
darkorange
mediumvioletred
black
set by color (#008B8B)
set by value (18)


{% extends "rostr/_base.html" %} {% block bodyclass %} wrapper--stats {% endblock %} {% block content %}
Roster Genius lets you download your work schedule into a Mac and iOS compatible .ics file. Simply navigate to your myPage schedule and copy from 'Schedule begins' down to the last time. If you have difficulty with this, just use ⌘ A to select everything.
Paste your schedule into the field. You can set the calendar event title and location fields to customise how they appear in your calendar. Enter your store number (e.g. R095) in the location field and it will be replaced with the store name and address. These will be remembered locally on your computer for next time you visit Roster Genius.


Spanish
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You are developing a web application that uses web workers to process images extracted from an HTML5 CANVAS object on a web page.
You need to pass messages between the web workers and the web page.
Which three types of objects should you use?
(Each correct answer presents a complete solution. Choose three.)


Overall Summary
Selections and answers from the board and slider
Number
Entity
Account
Entity Status
DR or CR
1
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PREVIOUS
FINISH


Tag
Usage
Displays when tags can be associated to content.
Behavior
Click to select and deselect
<ui-tag>your label here</ui-tag>
your label here
Options
Set as selected by default by providing the input 'selected' with a value of true
<ui-tag [selected]="true">selected by default</ui-tag>
selected by default


Cities - Connecting Cells
City Name
placeholder
Is NYC Cold?
New York Temperature
Make this message conditional:
Go play in the snow!
Cities - Table
City Name
Temperature
Add a new City!
City Name:
Add


Computing Machinery and Intelligence
This paper laid foundations of the highly influential Turing test by exploring the question “Can machines think?”. To answer this question unambiguously, it is replaced by yet another question, “Are there imaginable digital computers which would do well in the imitation game”?
The proposed imitation game has 3 subjects - A and B being a machine and a human, and C being the interrogator who is tasked to make the correct identification. This has to be done without sight, touch, voice, or any demands of practical demonstration. It is argued that this test shouldn’t be critiqued as the odds are heavily against the machine.
The paper discusses the meaning of the words ‘machine’ and ‘think’, followed by the remainder of the paper refuting and arguing against plausible objections that can be made to both the question and the proposition. These objections vary widely from theological to mathematical views. Few riveting defenses from the various contrary views dealt with -
-
The argument from consciousness is tackled by explaining how to be sure if a machine thinks is to be the machine and feel oneself thinking in it. Hence, what a man feels/thinks cannot be justified by any notice and similar is the case of a machine. Lady Lovelace’s objection implying that a machine can never do anything really new is argued by saying that there is no original work, but simply understanding what it is by virtue of growth through teaching.
-
It is interesting how a digital computer is explained to be a ‘human computer’. In the extrasensory perception argument, the clause of using telepathy-proof rooms are added, if it is ever to be possible!
-
The skin of the onion analogy describes how the whole human mind might just be mechanical, where the “real” mind does not exist and might merely be just another skin/layer.
It’s nice to see how the idea of discrete-state machines is connected to both neurology and Laplace’s view of the universe as a whole. In trying to build a thinking machine and taking ideas from a human mind to do so, it is also explored how this can be done using the initial state of a child, and applying education and experiences to make it an adult one. Hence, instead of trying to stimulate an adult’s mind, why not replace it with a child’s? Other parameters of evolution like heredity and mutation are also considered.
I appreciate how the paper was so ahead of its time. It makes me appreciate the brilliant people that laid the foundations of computing and intelligence even more. It is also noteworthy that importance is given to the fact that the main question is set to be asked for an imaginable computer that would do well in the test in the future, both while designing the test and during the discussion.
This paper is a very different read than the usual academic papers. Through the paper, it can also be seen how socially aware Alan Turing was as a human. The paper shows his views on sexuality, religion, god, and human supremacy. Few quotes from the paper that made me smirk/applaud -
-
“The game may perhaps be criticized on the ground that the odds are weighted too heavily against the machine. If the man were to try and pretend to be the machine he would clearly make a very poor showing. He would be given away at once by slowness and inaccuracy in arithmetic. “
-
The “Heads in the Sand” objection - “The consequences of machines thinking would be too dreadful. Let us hope and believe that they cannot do so.”, is responded by - “I do not think that this argument is sufficiently substantial to require refutation. Consolation would be more appropriate: perhaps this should be sought in the transmigration of souls. “
-
“Those who believe in the two previous objections would probably not be interested in any criteria”. The two previous objections being referred to here are theological and “hands in the sand”.
-
“The rules are thus quite time-invariant. This is quite true. The explanation of the paradox is that the rules which get changed in the learning process are of a rather less pretentious kind, claiming only an ephemeral validity. The reader may draw a parallel with the Constitution of the United States.”


Other Functions
The following functions are available globally.
-
Equatable.
-
Product.
-
Product (in place).
-
Quotient
-
Quotient (in place).
-
Sum.
-
Sum (in place).
-
Difference.
-
Difference (in place).
-
Scalar-Vector product.
-
Equatable.
Declaration
Swift
public func ==(lhs: UnitBezier, rhs: UnitBezier) -> Bool
-
Equatable.
-
Product.
-
Product (in place).
-
Quotient.
-
Quotient (in place).
-
Sum.
-
Sum (in place).
-
Difference.
-
Difference (in place).
-
Scalar-Vector product.
-
Equatable.
-
Product.
-
Product (in place).
-
Quotient
-
Quotient (in place).
-
Sum.
-
Sum (in place).
-
Difference.
-
Difference (in place).
-
Scalar-Vector product.
-
Equatable.
Declaration
Swift
public func ==(lhs: AnimatorState, rhs: AnimatorState) -> Bool


Unique identifier (uid)
The unique identifier (uid) of a dashboard can be used for uniquely identify a dashboard between multiple
Grafana installs.
The uid allows having consistent URL’s for accessing dashboards so changing the title of a dashboard will
not break any
bookmarked links to that dashboard.
change


{% extends "layout.html" %} {% block content %}
You need tolog in and the creator of an item to edit it.


{% extends "base.html" %} {% load i18n %}{% load bootstrap %} {% block content %}
{% blocktrans trimmed %} Host {{ hostname }} will get automatically updated as long as you keep this window open. {% endblocktrans %}
{% trans "The browser based updater only works if javascript is enabled." %}


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Amelia
Dami
Morgan
Line Control
Dani
Dealer's Room
Chynna


good condition - minor intervention
poor condition - medium intervention
bad condition - major intervention
Detailed research on abandoned buildings that pose a potential threat to safety and general health for humans, animals and the environment; their restoration or conversion and reuse for the common good; recording, locating, mapping and documenting from a technical, academic and humanist perspective.
For these buildings we plan to conduct research and list information regarding: ownership, current state, degree of endangerment, impact on local environment, possible conceptual solutions to problems and reevaluate and redefine city infrastructure.
In accordance with the above, the primary goal of this project is to develop an application - interactive map that records the current state of targeted buildings through visual display and documentation. The application will be educational and freely accessible to all citizens.


This Template Is Awesome
Cheese, tomato, mushrooms, onions.
Chicken, mozzarella cheese, onions.
Tuna, Sweetcorn, Cheese.
Pineapple, Minced Beef, Cheese.


{% load markdown_deux_tags %}
Your proof should be a direct link to an uncropped image (or link to youtube.com or just an imgur-link).


Arizona grassland may be landing site for Boeing spacecraft
WILLCOX, Ariz. (AP) - A flat desert grassland in southeastern Arizona is being considered as a potential landing site for a new reusable spacecraft.
Boeing representatives plan a public meeting Wednesday evening at the Willcox Community Center to discuss the Starliner spacecraft potentially touching down in the Willcox Playa area.
Other possible landing sites include White Sands Missile Range in New Mexico, Dugway Proving Ground in Utah and Edwards Air Force Base in California.
About 65 miles (105 kilometers) east of Tucson, Willcox Playa is winter habitat for thousands of migratory sandhill cranes.
The Starliner capsule made a safety test flight Monday at White Sands.
The capsule is due for a test flight next month to the International Space Station with a dummy and some cargo on board.
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MAN ON THE MOON RATING: 6 /10 --> Barely recommendable
For more reviews and movie screensavers, visit http://www.joblo.com/
Are you sick of hearing about hoooow much Jim Carrey acts like Andy Kaufman in this movie?!  Well, I am, and God knows he is really good in this movie, but lest we all forget what Jim Carrey does for a profession. He is an actor. It is his job to act. The fact that he does it so well in this film is really great and all, but why isn't anyone talking about the actual film? Helllloooo? Is it good? Is it entertaining? Does it have something to say? Well...allow me.
PLOT: Based on the real life of comedian/singer/bongo drummer Andy Kaufman, this film takes us through the early part of his career in Hollywood, his sudden rise to fame on TV's "Taxi", his manufactured multiple personalities and all the goofy stuff in between.
CRITIQUE: This film wasn't really all that funny, wasn't really all that interesting and wasn't really all that dramatic. In fact, if it wasn't for Jim Carrey's strong showing as the lead character of Kaufman, I doubt I would even recommend this film to anyone who didn't really care or know this man named Andy. I personally knew very little about the man before this film, other than his Latka performances on "Taxi", but I had the impression that he was weird, controversial and kinda "out there". After this film, I know much more about his performances (In fact, I think I know ALL of them, since it felt like every one of his acts was basically played out on the big screen), but little more about the man himself. In fact, all it did was confirm the fact that he was weird, controversial and kinda "out there". Did it address the man's upbringing, formative or high school years to get some kind of feel as to why he may have acted the way he did? Nope. In fact, besides admiring the man for his raw courage and debatable talent, I found very little of significant value in this film.
Some might enjoy Carrey's (Kaufman's) routines in the movie, but I personally didn't care much for most of them. Sure he was over-the-top, loud, different and obnoxious, but is that supposed to be entertaining? Well, I suppose it would be to some (Admittedly, Howard Stern is cut from the same fabric and I do dig him...), but considering that this film is little more than a showpiece for many of Kaufman's goofy shticks, I think that you actually have to enjoy many of them to truly appreciate the movie as a whole. And if you are thinking of seeing this movie because of the Courtney Love "romance" factor, stop dead in your tracks right now, cause this has got to be one of the weakest "love affairs" ever put to film. In fact, why was she even in the movie? She didn't appear to make one iota of difference in the man's life one way or the other. Anyway, if it feels as though I'm complaining too much, you're probably right, but it's Christmas time dammit, and I haven't even begun my stinky shopping!
Harumph...but with that bit of ugliness aside, I would recommend this film on video to most who are interested in seeing how some people in showbiz get started and how one goofy, really strange man made something of himself. On the big screen, it really isn't worth it, unless you truly like the Jim Carrey, who should definitely get an Oscar nod for his performance, or just want to see Andy's performances all over again. Oh and by the way, when I say that Carrey was excellent in his role as Andy, I don't pretend to know whether or not he was EXACTLY like the man himself (I didn't know Andy much). But what I am saying is that by the end of the movie, I no longer saw Jim Carrey playing a part...I saw a person named Andy. And that, to any actor, should be the highest praise indeed.
Little Known Facts about this film and its stars: According to good buddy Bob Zmuda's recent book about Andy entitled "Andy Kaufman Revealed! Best Friend Tells All", Andy was "so in love with prostitutes - he admired their "purity" - that if he'd been female he would have wanted to be one himself." As it was, he had to settle with being a one-man orgy at the notorious Mustang Ranch brothel in Reno. In fact, in 1979 he was in Reno for a week of shows and decided to have sex with every prostitute at the brothel. Not only did he bed six hookers per day, he paid $100 per prostitute - twice the going rate. By the end of the week, writes Zmuda, his friend was sore from all the activity. He did also like to keep in touch with many of the Mustangers and would, on occasion, fly one of them out to stay with him in Laurel Canyon for a few days at a time. Besides the numerous real life cameos by stars from TV's "Taxi", David Letterman and Lorne Michaels playing themselves, it's interesting to note the small role by Norm McDonald in one particularly awkward scene, and the real Bob Zmuda as an angry man in another. According to Jim Carrey, he and his-then wife, Melissa, were in attendance the night of Andy's last big show at the Carnegie Hall. Melissa also has a small role in this film as the waitress in the Comedy Store. The IMDb reports that the title of the film is a reference to an R.E.M. song about the late comedian, and that director Forman could not decide between Edward Norton (who was reportedly dating the overrated Courtney Love at the time) and Jim Carrey for the lead role. He eventually left it up to the studio, and they obviously went with the more bankable Carrey. And for all you who believe in the superstitious fodder, please note that both Jim and Andy were born on the same date of January 17 (though 13 years apart), and while on the set of this film, Jim apparently suffered the a similar minor neck injury while filming a scene with the same professional wrestler who once put Andy in a neck brace (Jerry Lawler, who incidentally plays himself in this film).
Review Date: December 22, 1999 Director: Milos Forman Writers: Scott Alexander and Larry Karaszewski Producers: Danny DeVito, Stacey Sher and Michael Shamberg Actors: Jim Carrey is Andy Kaufman Danny DeVito as George Shapiro Genre: Drama Year of Release: 1999 ------------------------------ http://www.joblo.com/ ------------------------------ (c) 1999 Berge Garabedian
The review above was posted to the
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SChartDonutSeriesStyle Class Reference
| Inherits from | SChartSeriesStyle : NSObject |
| Declared in | SChartDonutSeriesStyle.h |
| Availability | Standard Premium |
| Related samples | PieChart |
Overview
SChartDonutSeriesStyle
manages the appearance of donut series on a ShinobiChart
. The API for donut series is defined in SChartDonutSeries
.
Donut slices (and also pie slices, as SChartPieSeriesStyle
inherits its behavior from this class) are made up of an outline (or ‘crust’) and a filled area (or ‘flavour’). This style object allows you to manage the following properties of a donut series:
- The color and thickness of the crust around the slices. You can also configure whether the crust is shown. See
showCrust
,crustThickness
andcrustColors
for more information. - The fill colors of the slices, and whether slices are filled at all. See
showFlavour
andflavourColors
for more information.
When a donut series is drawn, it calls the crustColorAtIndex:
and flavourColorAtIndex:
methods on the style to get the crust and flavour colors for each slice.
You can configure whether labels are drawn on a donut series. By default, they will be. The labels annotate each slice in the series. See showLabels
, labelFont
, labelFontColor
and labelBackgroundColor
for more information.
When a slice in a donut series is selected, it protrudes out from the rest of the series. You can control how much it protrudes using the protrusion
property.
Tasks
General properties
-
showFlavour
Defines whether the inside of the donut is filled or ‘flavoured’.
property -
showCrust
Defines whether the outline or ‘crust’ of the donut is to be shown.
property -
showLabels
Defines whether the slices of the series are annotated with labels.
property -
chartEffect
The appearance of the series, which can be either flat, bevelled, or rounded.
property -
initialRotation
The initial rotation of the series in radians.
property
Spoke methods and properties
-
spokeStyle
Styling for spoke lines
property
Slice properties
-
crustColors
An array containing the ‘crust’ colors of the slices in the series.
property -
crustThickness
The thickness of the outline or ‘crust’ of the series, in points.
property -
flavourColors
An array containing the ‘flavour’ colors of the slices in the series.
property
Protrusion
-
protrusion
The amount by which the slice slides out from the centre when selected, in points.
property
Labels
-
labelFont
The font used in the labels which annotate the series.
property -
labelFontColor
The font color used in the labels which annotate the series.
property -
labelBackgroundColor
The background color of the labels which annotate the series.
property
Update style
-
– supplementStyleFromStyle:
Updates this style object using the settings from the passed-in style.
Series colors
-
– crustColorAtIndex:
Returns the outline or ‘crust’ color for the given slice in the series.
-
– flavourColorAtIndex:
Returns the fill or ‘flavour’ color for the given slice in the series.
Properties
chartEffect
The appearance of the series, which can be either flat, bevelled, or rounded.
@property (nonatomic) SChartRadialChartEffect chartEffect
Discussion
The complete list of options is:
- SChartRadialChartEffectFlat: Configures the appearance of the series to be flat.
- SChartRadialChartEffectBevelled: Configures the appearance of the series to be bevelled.
- SChartRadialChartEffectBevelledLight: Configures the appearance of the series to be bevelled. Has the same shadowing applied as the normal effect but the the shadow color is lighter.
- SChartRadialChartEffectRounded: Configures the appearance of the series to be rounded.
- SChartRadialChartEffectRoundedLight: Configures the appearance of the series to be rounded. Has the same shadowing applied as the normal effect but the the shadow color is lighter.
- SChartRadialChartEffectChiselled: Configures the appearance of the series to be chiselled.
- SChartRadialChartEffectDefault: Is provided for backwards compatibility. It will be removed in future releases.
In iOS7, the flat effect is the default. In earlier versions of iOS, the chiselled effect is the default.
Declared In
SChartDonutSeriesStyle.h
crustColors
An array containing the ‘crust’ colors of the slices in the series.
@property (nonatomic, retain) NSMutableArray *crustColors
Discussion
The order of the colors in the array corresponds to the order of the slices in the series.
Declared In
SChartDonutSeriesStyle.h
crustThickness
The thickness of the outline or ‘crust’ of the series, in points.
@property (nonatomic, retain) NSNumber *crustThickness
Declared In
SChartDonutSeriesStyle.h
flavourColors
An array containing the ‘flavour’ colors of the slices in the series.
@property (nonatomic, retain) NSMutableArray *flavourColors
Discussion
The order of the colors in the array corresponds to the order of the slices in the series.
Declared In
SChartDonutSeriesStyle.h
initialRotation
The initial rotation of the series in radians.
@property (nonatomic, retain) NSNumber *initialRotation
Declared In
SChartDonutSeriesStyle.h
labelBackgroundColor
The background color of the labels which annotate the series.
@property (nonatomic, retain) UIColor *labelBackgroundColor
Declared In
SChartDonutSeriesStyle.h
labelFont
The font used in the labels which annotate the series.
@property (nonatomic, retain) UIFont *labelFont
Declared In
SChartDonutSeriesStyle.h
labelFontColor
The font color used in the labels which annotate the series.
@property (nonatomic, retain) UIColor *labelFontColor
Declared In
SChartDonutSeriesStyle.h
protrusion
The amount by which the slice slides out from the centre when selected, in points.
@property (nonatomic) CGFloat protrusion
Discussion
A zero value means that no protrusion effect is seen when a slice is selected.
Declared In
SChartDonutSeriesStyle.h
showCrust
Defines whether the outline or ‘crust’ of the donut is to be shown.
@property (nonatomic) BOOL showCrust
Declared In
SChartDonutSeriesStyle.h
showFlavour
Defines whether the inside of the donut is filled or ‘flavoured’.
@property (nonatomic) BOOL showFlavour
Declared In
SChartDonutSeriesStyle.h
Instance Methods
crustColorAtIndex:
Returns the outline or ‘crust’ color for the given slice in the series.
- (UIColor *)crustColorAtIndex:(NSInteger)index
Parameters
- index
The index of the slice in the series for which to get the crust color.
Declared In
SChartDonutSeriesStyle.h


Connect to #jquery-meeting
The jQuery team hosts all of its meeting in the #jquery-meeting IRC channel on Freenode.net. Normally everyone in the channel is muted unless a meeting is going on. Please be respectful to those participating. You can connect to the channel using an IRC client or through the web form below:


HeartPinePhone
HeartPinePhone is a project of mine. I could give you the fancy pitch, but that's all in [the README] anyway, if you really care. Long story short: HPP is an OS for PinePhone that you can trust. It's also, admittedly, mostly just a pet project, because I like writing low-level code. What you'll read here are the posts chronicling my journey through developing it. I'm hoping this eventually becomes a roughly weekly thing, but we'll see how life treats me.
I want to be clear that these blogposts are meant to be part educational, part insightful, but mostly just for me to keep track of my progress. You may find value in reading them. You may learn something! But mostly, I just want to have a history so I can look back on this in six months and feel pride at how far I've come. Or shame at having abandoned the project. We'll see.
You may also be interested in some resources about the PinePhone:
- The HeartPinePhone repo
- The phone's schematic -- though note that's for the v1.2a revision, which may not match your phone!
- The microcontroller's manual
- The PMIC's manual
- The ArmV8-A reference manual
You may want them as you read along with the blogs. I reference them a lot and if you don't, some connections might not be obvious.
Posts
- Compiling Bare-Metal Rust for PinePhone (2020-10-30)
- Exploring, Part 1: Firmware (2020-09-29)


Recipe: Pumpkin Chiffon Pie
by CBS NewsFrom Bon Appétit's November 2019 issue, a Thanksgiving dessert recipe from Adam Rapoport:
"This light-as-can-be pumpkin chiffon pie gets its cloudlike texture from the addition of beaten raw egg whites. (If that's not your thing, try our Pecan Rye Pumpkin Pie.) Be sure to take them all the way to stiff peaks for a slice of pie that can hold its shape.
"Parbaking the graham cracker crust at a relatively low temperature for a longer period of time ensures a crisp and deeply fragrant crust that won't become soggy once the pumpkin filling is added."
Pumpkin Chiffon Pie
Recipe by Adam Rapoport
Makes one 9" deep-dish pie
Ingredients:
Crust:
12 graham crackers
2 Tbsp. sugar
¼ tsp. kosher salt
6 Tbsp. unsalted butter, melted, slightly cooled
Filling and Assembly:
1 envelope unflavored gelatin (2½ tsp.)
1 tsp. ground cinnamon
¼ tsp. ground nutmeg
¾ (scant) cup plus 2 Tbsp. sugar, divided
¾ tsp. kosher salt, divided
3 large egg yolks
¾ cup whole milk
1¼ cups unsweetened pumpkin purée (from one 15-oz. can)
3 large egg whites
¾ cup heavy cream
¼ cup sour cream
Preparation:
Crust:
- Preheat oven to 325°. Pulse graham crackers in a food processor until broken down into fine crumbs (you should have about 2 cups). Set aside 2 Tbsp. graham cracker crumbs for serving. Add sugar and salt and pulse just to combine. Add butter and pulse until mixture is the consistency of wet sand.
- Transfer to a 9½"-diameter deep pie dish. Using a measuring cup, press crumbs firmly onto bottom and up sides of dish. Bake crust until fragrant and edges just start to take on color, 20–25 minutes. Transfer to a wire rack and let cool.
Filling and Assembly:
- Stir gelatin, cinnamon, nutmeg, a scant ½ cup sugar, and ½ tsp. salt in a small saucepan. Whisk egg yolks and milk in a small bowl to combine, then whisk into sugar mixture. Cook over medium heat, stirring frequently, until mixture begins to thicken and coats the back of a spoon (but do not let it boil), about 5 minutes. Stir in pumpkin purée and remove from heat. Transfer to a large bowl and chill until cool, about 10 minutes.
- Meanwhile, using an electric mixer on medium-high speed, beat egg whites in a large bowl until soft peaks form. With the motor running, gradually add a scant ¼ cup sugar and continue to beat until stiff peaks form, 5–7 minutes.
- Mix one-third of egg white mixture into chilled pumpkin mixture until smooth. Gently fold remaining egg white mixture into pumpkin mixture in 2 additions until incorporated, but don't overmix.
- Pour filling into graham cracker crust; smooth top. Cover and chill overnight.
- Vigorously whisk cream in a large bowl until soft peaks form. Fold in sour cream and remaining 2 Tbsp. sugar and ¼ tsp. salt just to combine. Using a large spoon, dollop a generous amount of whipped cream in the center of pie. Sprinkle with reserved graham cracker crumbs. Slice and serve with any remaining whipped cream alongside.
To watch Molly Baz and Adam Rapoport make a Pumpkin Chiffon Pie click on the video player below:
For more info: