import numpy as np
from ..utils import get_g, get_pair_idb, get_nbs
from tqdm import tqdm
from collections import defaultdict
[docs]def get_neighbors(N, word, k):
"""
Args:
N (dict[dict]): A dict of dict, storing the neighbours of
each word with IDB values.
word (str): The target word whose neighbours are to be
fecthed.
k (int): top `k` neighbours.
Returns:
A list of top `k` neighbours for `word`.
"""
return list(N[word].keys())[1:k+1]
[docs]def prox_bias(vals, l, thresh):
"""
Returns:
the ratio of total neighbours that have IDB above `thresh`.
"""
return len(vals[vals>thresh]) / l
[docs]def get_ns_idb(E, word, g):
"""
Args:
E (WE class object): Word embeddings object.
word (str): The word in consideration.
g (np.array): Gender direction.
Returns:
A dictionary of top 100 neighbours of `word` and the
indirect bias between `word` and each neighbour.
"""
tops = get_nbs(E, word, 101)
wv = E.v(word)
d = dict(zip([E.words[v] for v in tops], [get_pair_idb(E.vecs[v], wv, g, E) for v in tops]))
return d
[docs]def get_neighbors_idb_dict(E, words):
"""
Args:
Args:
E (WE class object): Word embeddings object.
word (str): The word in consideration.
Returns:
A dict of dicts, storing the neighbours of each word
with IDB values.
# The key of larger dict resembles the source node, its value
# is again a dict which has keys and values. These are
# respetively the target node and the weight of an edge
# that is conceptually formed between the two nodes
# (keys of two dicts).
"""
g = get_g(E)
neighbour_idb_dict = dict(zip([w for w in words],
[get_ns_idb(E, w, g) for w in words]))
return neighbour_idb_dict
[docs]def score(vals, weights):
"""
Score the values and weights.
Args:
vals (dict): A dict of words and their corresponding proximity bias.
weights (dict): The weights of an edge according to GIPE metric.
Returns:
The final computed GIPE score
"""
score = 0
sum = 0
for v in vals:
try:
score += weights[v] * vals[v]
sum += weights[v]
except:
aux_w = 1 #By default, the weight is 1 (1 is the lowest possible weight, means lowest "penalty")
score += vals[v] * aux_w
sum += aux_w
score /= sum
return score
def _gipe(biased_words, E_new, E_orig=None, g=None, thresh=0.05, n=100):
"""GIPE metric
Args:
biased_words (list[str]): A list of string of words, on
which GIPE will be computed.
E_new (WE class object): Represents the new embedding object,
which consists of the debiased embeddings.
E_orig (WE class object): Represents the old/original embedding
object, which consists of the non-debiased
embeddings.
kwargs:
g (np.array): Gender direction.
thresh (float): The minimum indirect bias threshold, above which
the association between a word and its neighbour
is considered biased.
n (int): The top `n` neighbours to be considered.
Returns:
The final computed GIPE score of a word embedding over the given
word lists, and the corresponding created BBN.
"""
total = 0
neighbours = {}
incoming_edges = defaultdict(list)
etas = {}
N = get_neighbors_idb_dict(E_new, biased_words)
# for word in tqdm(biased_words): #Creating BBN
for word in biased_words: #Creating BBN
try:
neighbours[word] = get_neighbors(N, word, n) #Neighbours according to current embedding
l = len(neighbours[word])
except:
print(f"{word} is weird.")
continue
values = []
for i, element in enumerate(neighbours[word]):
value = float(get_pair_idb(word, element, g, E_orig)) #Beta according to original (same in case of non-debiased) embedding
values.append(value)
incoming_edges[element].append(value)
etas[word] = prox_bias(np.array(values), l, thresh)
eps = np.finfo(float).eps
weights = defaultdict(int)
for key in incoming_edges:
idbs = np.array(incoming_edges[key])
weights[key] = 1 + (len(idbs[idbs>thresh])/(len(idbs) + eps))
return score(etas, weights)
[docs]class GIPE():
"""The GIPE metric class"""
def __init__(self, E_new, E_orig=None, g=None, thresh=0.05, n=100):
"""
GIPE
Args:
E_new (WE class object): Represents the new embedding object,
which consists of the debiased embeddings.
E_orig (WE class object): Represents the old/original embedding
object, which consists of the non-debiased
embeddings.
kwargs:
g (np.array): Gender direction.
thresh (float): The minimum indirect bias threshold, above which
the association between a word and its neighbour
is considered biased.
n (int): The top `n` neighbours to be considered.
"""
if not E_new.normalized:
print("Normalizing...")
E_new = E_new.normalize()
if E_orig is not None and not E_orig.normalized:
print("Normalizing...")
E_orig = E_orig.normalize()
if E_orig is None:
E_orig = E_new
if g is None:
g = get_g(E_new)
self.g = g
self.E_new = E_new
self.E_orig = E_orig
self.thresh = thresh
self.n = n
[docs] def compute(self, words):
"""
Args:
words (list[str]): A list of string of words, on
which GIPE will be computed.

assert len(words)>1, "More than one word needed to compute the graph in GIPE."
return _gipe(words, self.E_new, self.E_orig,
self.g, self.thresh, self.n)


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public class Stats
extends java.lang.Object
| Modifier and Type | Field and Description |
|---|---|
private float |
compressedFileSize
Variable for the compressed file size
|
private float |
compressionDegree
Variable for the degree of compression
|
private float |
compressionSpeed
Variable for the speed of compression
|
private float |
compressionTime
Variable for the time of compression
|
private float |
originalFileSize
Variable for the original file size
|
| Constructor and Description |
|---|
Stats()
Main creator function of the class
|
| Modifier and Type | Method and Description |
|---|---|
float |
getCompressedFileSize()
getCompressedFileSize get the size of the compressed file
|
float |
getCompressionDegree()
getCompressionDegree get the degree of the compression
|
float |
getCompressionSpeed()
getCompressionSpeed get the speed of the compression
|
float |
getCompressionTime()
getCompressionTime get the time of the compression
|
float |
getOriginalFileSize()
getOriginalFileSize get the size of the file
|
protected void |
reset()
reset restart the variables to 0
|
void |
setCompressedFileSize(float size)
setCompressedFileSize set the size of the compressed file
|
void |
setCompressionDegree(float compressionDegree)
setCompressionDegree set the degree of the compression
|
void |
setCompressionSpeed(float compressionSpeed)
setCompressionSpeed set the speed of the compression
|
void |
setCompressionTime(float compressionTime)
setCompressionTime set the time of the compression
|
void |
setOriginalFileSize(float size)
setOriginalFileSize set the size of the file
|
private float compressionTime
private float compressionDegree
private float compressionSpeed
private float originalFileSize
private float compressedFileSize
public float getOriginalFileSize()
getOriginalFileSize get the size of the file
public void setOriginalFileSize(float size)
setOriginalFileSize set the size of the file
size
- It has the size of the filepublic float getCompressedFileSize()
getCompressedFileSize get the size of the compressed file
public void setCompressedFileSize(float size)
setCompressedFileSize set the size of the compressed file
size
- It has the size of the compressed filepublic float getCompressionTime()
getCompressionTime get the time of the compression
public void setCompressionTime(float compressionTime)
setCompressionTime set the time of the compression
compressionTime
- It has the time of the compressionpublic float getCompressionDegree()
getCompressionDegree get the degree of the compression
public void setCompressionDegree(float compressionDegree)
setCompressionDegree set the degree of the compression
compressionDegree
- It has the degree of the compressionpublic float getCompressionSpeed()
getCompressionSpeed get the speed of the compression
public void setCompressionSpeed(float compressionSpeed)
setCompressionSpeed set the speed of the compression
compressionSpeed
- It has the speed of the compressionprotected void reset()
reset restart the variables to 0


import inspect
import os
from pprint import pprint
import yaml
from cloudmesh.common.StopWatch import StopWatch
from cloudmesh.common.util import path_expand
from cloudmesh.common.variables import Variables
from pathlib import Path
# noinspection PyPep8Naming
[docs]class Benchmark(object):
[docs] @staticmethod
def debug():
"""
sets the cms shell variables
trace = True
debug = True
verbose = 10
"""
variables = Variables()
variables["trace"] = True
variables["debug"] = True
variables["verbose"] = 10
[docs] @staticmethod
def name(with_class=False):
"""
name of the calling method
:return: the name
"""
frame = inspect.getouterframes(inspect.currentframe())
method = frame[2][3]
# pprint (frame[2])
if with_class:
classname = os.path.basename(frame[2].filename).replace(".py", "")
method = classname + "/" + method
return method
[docs] @staticmethod
def Start(status=True):
"""
starts a timer while using the name of the calling method
"""
StopWatch.start(Benchmark.name(with_class=True))
[docs] @staticmethod
def Status(value):
"""
starts a timer while using the name of the calling method
"""
StopWatch.status(Benchmark.name(with_class=True), value)
[docs] @staticmethod
def Stop():
"""
stops a timer while using the name of the calling method
"""
StopWatch.stop(Benchmark.name(with_class=True))
[docs] @staticmethod
def print(sysinfo=True, csv=True, tag=None):
"""
prints the benchmark information with all timers
"""
StopWatch.start("benchmark_start_stop")
StopWatch.stop("benchmark_start_stop")
StopWatch.benchmark(sysinfo=sysinfo, csv=csv, tag=tag)
[docs] @staticmethod
def yaml(path, n):
"""
creates a cloudmesh service yaml test file
Example: BenchmarkFiles.yaml("./t.yaml", 10)
:param path: the path
:param n: number of services
:return:
"""
cm = {
"cloudmesh": {}
}
for i in range(0, n):
cm["cloudmesh"][f"service{i}"] = {
"attribute": f"service{i}"
}
pprint(cm)
location = path_expand(path)
with open(location, 'w') as yaml_file:
yaml.dump(cm, yaml_file, default_flow_style=False)
# noinspection SpellCheckingInspection
[docs] @staticmethod
def file(path, n):
"""
create a file of given size in MB, the MB here is in binary not SI
units.
e.g. 1,048,576 Bytes
Example: s = BenchmarkFiles.size("./sise.txt", 2)
print(s)
:param path: the filename and path
:type path: string
:param n: the size in binary MB
:type n: integer
:return: size in MB
:rtype: float
"""
location = path_expand(path)
size = 1048576 * n # size in bytes
with open(path, "wb") as f:
f.write(os.urandom(size))
s = os.path.getsize(location)
# try:
# os.system(f"ls -lhs {location}")
# os.system(f"du -h {location}")
# except:
# pass
return s / 1048576.0


—Mark Twain
In a code review recently, I asked the author to change some of their asserts to requires. Functions in testify’s assert package allow the test to continue, whereas those in the require package end the test immediately. Thus, you use require to avoid trying to continue running a test when we know it’ll be in a bad state. (side note: don’t use an assert package, but that’s another post) Since testify’s assert and require packages have the same interface, the author’s solution was to simply change the import thusly:
import (
assert "github.com/stretchr/testify/require"
)
Bam, now all the assert.Foo calls would stop the test immediately, and we didn’t need a big changelist changing every use of assert to require. All good, right?
No.
Hell No.
Why? Because it makes the code lie. Anyone familiar with the testify package understands the difference between assert and require. But we’ve now made code that looks like an assert, but is actually a require. People who are 200 lines down in a test file may well not realize that those asserts are actually requires. They’ll assume the test function will continue processing after an assert fails. They’ll be wrong, and they could accidentally write incorrect tests because of it - tests that fail with confusing error messages.
This is true in general - code must never lie. This is a cardinal sin amongst programmers. This is an extension of the mantra that code should be written to be read. If code looks like it’s doing one thing when it’s actually doing something else, someone down the road will read that code and misunderstand it, and use it or alter it in a way that causes bugs. If they’re lucky, the bugs will be immediate and obvious. If they’re unlucky, they’ll be subtle and only be figured out after a long debugging session and much head banging on keyboard. That someone might be you, even if it was your code in the first place.
 Giant yelling comments that can’t be missed during a 2am debugging session. Because chances are, that’s when you’re going to look at this code next, and you might forget that saveToMemory() function actually saves to a database in AWS’s Antarctica region.
So, don’t lie. Furthermore, try not to even mislead. Humans make assumptions all the time, it’s built into how we perceive the world. As a coder, it’s your job to anticipate what assumptions a reader may have, and ensure that they are not incorrect, or if they are, do your best to disabuse them of their incorrect assumptions.
If possible, don’t resort to comments to inform the reader, but instead,
structure the code itself in such a way as to indicate it’s not going to behave
the way one might expect. For example, if your type has a Write(b []byte)
(int, error)
method that is not compatible with io.Writer, consider calling it
something other than Write… because everyone seeing foo.Write
is going to
assume that function will work like an io.Write. Instead maybe call it WriteOut
or PrintOut or anything but Write.
Misleading code can be even more subtle than this. In a recent code review, the author wrapped a single DB update in a transaction. This set off alarm bells for me as a reviewer. As a reader, I assumed that the code must be saving related data in multiple tables, and that’s why a transaction was needed. Turned out, the code didn’t actually need the transaction, it was just written that way to be consistent with some other code we had. Unfortunately, in this case, being consistent was actually confusing… because it caused the reader to make assumptions that were ultimately incorrect.
Do the poor sap that has to maintain your code 6 months or two years down the road a favor - don’t lie. Try not to mislead.


{% extends "base.html" %} {% block title %}FAQ{% endblock %} {% block styles %} {% endblock %} {% block body %} {% block nav %} {% endblock %}
TigerPlace is a way for RIT students to securely buy and sell their used goods. We also allow for students to list their services such as private tutoring.
We have built our platform specific to an RIT student needs. We aim to provide campus specific features and ensure that all transactions going through TigerPlace are secure and reasonably priced.
Yes, currently TigerPlace is only available to RIT students.
Currently TigerPlace does not handle transactions as we are expecting the buyer and seller to find a payment medium. However, we are planning on releasing an in app payment method in the near future!
The expected full launch will take place in early 2021, we are so excited!


class: center, middle, inverse, title-slide # Data Visualization ##
with R ### David Meza ### 2017/05/17 --- background-image: url(../images/JSCDSD_GradedTrans.png) ??? Image credit: NASA Johnson Space Center Data Science Day --- class: center, middle # Introduction You will learn how to visualise your data using ggplot2. R has several systems for making graphs, but [ggplot2](http://ggplot2.tidyverse.org/) is one of the most elegant and most versatile. ggplot2 implements the grammar of graphics, a coherent system for describing and building graphs. With ggplot2, you can do more faster by learning one system and applying it in many places. --- class: inverse, center, middle # Get Started --- # Prerequisites ```r # install.packages("tidyverse") library(tidyverse) ``` ``` ## Warning: package 'tidyverse' was built under R version 3.4.2 ``` ``` ## ── Attaching packages ─────────────────────────────────────────────────────────────────────────────────────────── tidyverse 1.2.1 ── ``` ``` ## ✔ ggplot2 2.2.1 ✔ purrr <IP_ADDRESS>00 ## ✔ tibble 1.4.2 ✔ dplyr 0.7.4 ## ✔ tidyr 0.8.0 ✔ stringr 1.2.0 ## ✔ readr 1.1.1 ✔ forcats 0.2.0 ``` ``` ## Warning: package 'tibble' was built under R version 3.4.3 ``` ``` ## Warning: package 'tidyr' was built under R version 3.4.3 ``` ``` ## Warning: package 'dplyr' was built under R version 3.4.2 ``` ``` ## ── Conflicts ────────────────────────────────────────────────────────────────────────────────────────────── tidyverse_conflicts() ── ## ✖ dplyr::filter() masks stats::filter() ## ✖ dplyr::lag() masks stats::lag() ``` --- # mpg data frame Let’s use our first graph to answer a question: Do cars with big engines use more fuel than cars with small engines? You probably already have an answer, but try to make your answer precise. What does the relationship between engine size and fuel efficiency look like? Is it positive? Negative? Linear? Nonlinear? --- ```r mpg ``` ``` ## # A tibble: 234 x 11 ## manufacturer model displ year cyl trans drv cty hwy fl ## <chr> <chr> <dbl> <int> <int> <chr> <chr> <int> <int> <chr> ## 1 audi a4 1.80 1999 4 auto(l… f 18 29 p ## 2 audi a4 1.80 1999 4 manual… f 21 29 p ## 3 audi a4 2.00 2008 4 manual… f 20 31 p ## 4 audi a4 2.00 2008 4 auto(a… f 21 30 p ## 5 audi a4 2.80 1999 6 auto(l… f 16 26 p ## 6 audi a4 2.80 1999 6 manual… f 18 26 p ## 7 audi a4 3.10 2008 6 auto(a… f 18 27 p ## 8 audi a4 quat… 1.80 1999 4 manual… 4 18 26 p ## 9 audi a4 quat… 1.80 1999 4 auto(l… 4 16 25 p ## 10 audi a4 quat… 2.00 2008 4 manual… 4 20 28 p ## # ... with 224 more rows, and 1 more variable: class <chr> ``` Among the variables in mpg are: 1. **displ**, a car’s engine size, in litres. 2. **hwy**, a car’s fuel efficiency on the highway, in miles per gallon (mpg). A car with a low fuel efficiency consumes more fuel than a car with a high fuel efficiency when they travel the same distance. --- # Creating a ggplot To plot run this code to put the displ on the x-axis and hwy on the y-axis: ```r ggplot(data = mpg) + geom_point(mapping = aes(x = displ, y = hwy)) ``` --- It should look like this: ![](1_DataVisualization_Slides_files/figure-html/unnamed-chunk-4-1.png) --- # ggplot graphing template ```r ggplot(data = <DATA>) + <GEOM_FUNCTION>(mapping = aes(<MAPPINGS>)) ``` The rest of this presentation will show you how to complete and extend this template to make different types of graphs. We will begin with the **<MAPPINGS>** component. --- # Aesthetic Mappings In the plot below, one group of points (highlighted in red) seems to fall outside of the linear trend. These cars have a higher mileage than you might expect. How can you explain these cars? ![](1_DataVisualization_Slides_files/figure-html/unnamed-chunk-6-1.png) --- # Adding aesthics to enhance plot You can add a third variable, like `class`, to a two dimensional scatterplot by mapping it to an __aesthetic__. An aesthetic is a visual property of the objects in your plot.  --- You can convey information about your data by mapping the aesthetics in the plot to variables in your dataset. ```r ggplot(data = mpg) + geom_point(mapping = aes(x = displ, y = hwy, color = class)) ``` ![](1_DataVisualization_Slides_files/figure-html/unnamed-chunk-8-1.png) --- In the above example, we mapped **class** to the color aesthetic, but we could have mapped **class** to the size aesthetic in the same way. In this case, the exact size of each point would reveal its class affiliation. We get a _warning_ here, because mapping an unordered variable (`class`) to an ordered aesthetic (`size`) is not a good idea. ```r ggplot(data = mpg) + geom_point(mapping = aes(x = displ, y = hwy, size = class)) ``` ``` ## Warning: Using size for a discrete variable is not advised. ``` ![](1_DataVisualization_Slides_files/figure-html/unnamed-chunk-9-1.png) --- Or we could have mapped **class** to the **_alpha_** aesthetic, which controls the transparency of the points or the shape of the points. ```r ggplot(data = mpg) + geom_point(mapping = aes(x = displ, y = hwy, alpha = class)) ``` ![](1_DataVisualization_Slides_files/figure-html/unnamed-chunk-10-1.png) --- Or the shape of the points. ```r ggplot(data = mpg) + geom_point(mapping = aes(x = displ, y = hwy, shape = class)) ``` ``` ## Warning: The shape palette can deal with a maximum of 6 discrete values ## because more than 6 becomes difficult to discriminate; you have 7. ## Consider specifying shapes manually if you must have them. ``` ``` ## Warning: Removed 62 rows containing missing values (geom_point). ``` ![](1_DataVisualization_Slides_files/figure-html/unnamed-chunk-11-1.png) --- class: inverse, center, middle For each aesthetic, you use aes() to associate the name of the aesthetic with a variable to display. The aes() function gathers together each of the aesthetic mappings used by a layer and passes them to the layer’s mapping argument. The syntax highlights a useful insight about x and y: the x and y locations of a point are themselves aesthetics, visual properties that you can map to variables to display information about the data. --- You can also set the aesthetic properties of your geom manually. For example, we can make all of the points in our plot blue: ```r ggplot(data = mpg) + geom_point(mapping = aes(x = displ, y = hwy), color = "blue") ``` ![](1_DataVisualization_Slides_files/figure-html/unnamed-chunk-12-1.png) --- What is the difference between these two groups of code? ```R ggplot(data = mpg) + geom_point(mapping = aes(x = displ, y = hwy, color = class)) ``` ```R ggplot(data = mpg) + geom_point(mapping = aes(x = displ, y = hwy), color = "blue") ``` --- # Common Problems One common problem when creating ggplot2 graphics is to put the `+` in the wrong place: it has to come at the end of the line, not the start. In other words, make sure you haven't accidentally written code like this: ```R ggplot(data = mpg) + geom_point(mapping = aes(x = displ, y = hwy)) ``` --- # Facets One way to add additional variables is with aesthetics. Another way, particularly useful for categorical variables, is to split your plot into **__facets__**, subplots that each display one subset of the data. To facet your plot by a single variable, use **`facet_wrap()`**. The first argument of **`facet_wrap()`** should be a formula, which you create with **`~`** followed by a variable name (here *"formula"* is the name of a data structure in R, not a synonym for *"equation"*). The variable that you pass to **`facet_wrap()`** should be discrete. ```R ggplot(data = mpg) + geom_point(mapping = aes(x = displ, y = hwy)) + facet_wrap(~ class, nrow = 2) ``` --- ```r ggplot(data = mpg) + geom_point(mapping = aes(x = displ, y = hwy)) + facet_wrap(~ class, nrow = 2) ``` ![](1_DataVisualization_Slides_files/figure-html/unnamed-chunk-13-1.png) --- To facet your plot on the combination of two variables, add **`facet_grid()`** to your plot call. The first argument of **`facet_grid()`** is also a formula. This time the formula should contain two variable names separated by a **`~`**. ```r ggplot(data = mpg) + geom_point(mapping = aes(x = displ, y = hwy)) + facet_grid(drv ~ cyl) ``` ![](1_DataVisualization_Slides_files/figure-html/unnamed-chunk-14-1.png) If you prefer to not facet in the rows or columns dimension, use a **`.`** instead of a variable name, e.g. **`+ facet_grid(. ~ cyl)`**. --- How are these two plots similar?  -- Both plots contain the same x variable, the same y variable, and both describe the same data. But the plots are not identical. Each plot uses a different visual object to represent the data. In ggplot2 syntax, we say that they use different __geoms__. --- A __geom__ is the geometrical object that a plot uses to represent data. People often describe plots by the type of geom that the plot uses. For example, bar charts use bar geoms, line charts use line geoms, boxplots use boxplot geoms, and so on. Scatterplots break the trend; they use the point geom. To change the geom in your plot, change the geom function that you add to **`ggplot()`**. For instance, to make the plots above, you can use this code: ```r ggplot(data = mpg) + geom_point(mapping = aes(x = displ, y = hwy)) ggplot(data = mpg) + geom_smooth(mapping = aes(x = displ, y = hwy)) ``` --- Every geom function in ggplot2 takes a `mapping` argument. However, not every aesthetic works with every geom. You could set the shape of a point, but you couldn't set the "shape" of a line. On the other hand, you _could_ set the linetype of a line. `geom_smooth()` will draw a different line, with a different linetype, for each unique value of the variable that you map to linetype. ```r ggplot(data = mpg) + geom_smooth(mapping = aes(x = displ, y = hwy, linetype = drv)) ``` ![](1_DataVisualization_Slides_files/figure-html/unnamed-chunk-17-1.png) ??? Here `geom_smooth()` separates the cars into three lines based on their `drv` value, which describes a car's drivetrain. One line describes all of the points with a `4` value, one line describes all of the points with an `f` value, and one line describes all of the points with an `r` value. Here, `4` stands for four-wheel drive, `f` for front-wheel drive, and `r` for rear-wheel drive. If this sounds strange, we can make it more clear by overlaying the lines on top of the raw data and then coloring everything according to `drv`. --- Many geoms, like `geom_smooth()`, use a single geometric object to display multiple rows of data. For these geoms, you can set the `group` aesthetic to a categorical variable to draw multiple objects. ggplot2 will draw a separate object for each unique value of the grouping variable. In practice, ggplot2 will automatically group the data for these geoms whenever you map an aesthetic to a discrete variable (as in the `linetype` example). It is convenient to rely on this feature because the group aesthetic by itself does not add a legend or distinguishing features to the geoms. --- ```R ggplot(data = mpg) + geom_smooth(mapping = aes(x = displ, y = hwy)) ggplot(data = mpg) + geom_smooth(mapping = aes(x = displ, y = hwy, group = drv)) ggplot(data = mpg) + geom_smooth( mapping = aes(x = displ, y = hwy, color = drv), show.legend = FALSE ```  --- To display multiple geoms in the same plot, add multiple geom functions to `ggplot()`: ```r ggplot(data = mpg) + geom_point(mapping = aes(x = displ, y = hwy)) + geom_smooth(mapping = aes(x = displ, y = hwy)) ``` ![](1_DataVisualization_Slides_files/figure-html/unnamed-chunk-19-1.png) --- This, however, introduces some duplication in our code. Imagine if you wanted to change the y-axis to display `cty` instead of `hwy`. You'd need to change the variable in two places, and you might forget to update one. You can avoid this type of repetition by passing a set of mappings to `ggplot()`. ggplot2 will treat these mappings as global mappings that apply to each geom in the graph. In other words, this code will produce the same plot as the previous code: ```r ggplot(data = mpg, mapping = aes(x = displ, y = hwy)) + geom_point() + geom_smooth() ``` ``` ## `geom_smooth()` using method = 'loess' ``` ![](1_DataVisualization_Slides_files/figure-html/unnamed-chunk-20-1.png) --- If you place mappings in a geom function, ggplot2 will treat them as local mappings for the layer. It will use these mappings to extend or overwrite the global mappings _for that layer only_. This makes it possible to display different aesthetics in different layers. ```r ggplot(data = mpg, mapping = aes(x = displ, y = hwy)) + geom_point(mapping = aes(color = class)) + geom_smooth() ``` ![](1_DataVisualization_Slides_files/figure-html/unnamed-chunk-21-1.png) --- You can use the same idea to specify different `data` for each layer. Here, our smooth line displays just a subset of the `mpg` dataset, the subcompact cars. The local data argument in `geom_smooth()` overrides the global data argument in `ggplot()` for that layer only. ```r ggplot(data = mpg, mapping = aes(x = displ, y = hwy)) + geom_point(mapping = aes(color = class)) + geom_smooth(data = filter(mpg, class == "subcompact"), se = FALSE) ``` ![](1_DataVisualization_Slides_files/figure-html/unnamed-chunk-22-1.png)


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| MATLAB 文件帮助: cv.BOWKMeansTrainer/add | 查看 cv.BOWKMeansTrainer/add 的代码 | Index |
add Adds descriptors to a training set
trainer.add(descs)
The training set is clustered using cluster method to construct the vocabulary.
| Access | public |
| Sealed | false |
| Static | false |


Anime is a hand-drawn and computer animation originating from Japan.The earliest commercial Japanese animations date to 1917.A characteristic art style emerged in the 1960s with the works of cartoonist Osamu Tezuka. Anime is distributed theatrically,through television broadcasts,directly to home media, and over the internet.Anime are often adaptations of Japanese comics(manga),light novels or video games.It is classified into numerous genre targeting various audiences.
Death Note is an anime series based on the manga series of the same name written by Tsugumi Ohba . The plot of the series primarily revolves around high school student Light Yagami, who decides to rid the world of evil with the help of a supernatural notebook called a Death Note.
Attack on Titan revolves inthe story of a boy called Eren Yeager , who vows to exterminate the Titans after a Titan brings about the destruction of his hometown and the death of his mother.
It tells the story of Saitama,a superhero who can defeat any opponent with a single punch but seeks to find a worthy opponent after growing bored by a lack of challenge due to his overwhelming strength. ONE wrote the original webcomic version in early 2009.
It tells the story of Naruto Uzumaki , a young ninja who seeks recognition from his peers and dreams of becoming the Hokage, the leader of his village. The story is told in two parts – the first set in Naruto's pre-teen years, and the second in his teens.
Set in the early 20th century, a fictional universe in which alchemy is a widely practiced science , the series follows the journey of two alchemist brothers, Edward and Alphonse Elric, who are searching for the philosopher's stone to restore their bodies after a failed attempt to bring their mother back to life using alchemy.
My name is Derrick and I am an upcoming programmer. This is my first website and I am looking foward to building better and more in the future. You can contact me on: +254791019005


CodeMirror Example
Linting, Autosize, and Bootstrap
Field 1
Handlebars
Toolbar
{{#each foobars extraThing}}
{{echo 'hello world'}
{{/if}}
Save
Full Screen
Full Viewport


--- layout: page title: Bars lead: Render the waveform in "bars". excerpt: Basic web audio single track mono display waveform editor. Play, stop, pause audio. Live seeking enabled. permalink: bars.html javascript: bars.js audio_title: Sonnet audio_artist: LibriVox ---


All awesome Books
Contact information
Do you have any questions or just want to say "hello"?
You can reach out to us!
• Our email<EMAIL_ADDRESS>• Our phone number:<PHONE_NUMBER>422
• Our adress: Streetname 22, 84503 City, Country
• Our email<EMAIL_ADDRESS>• Our phone number:<PHONE_NUMBER>422
• Our adress: Streetname 22, 84503 City, Country


{% extends 'consciousApp/index.html' %} {% load static %} {% block body_block%}
Braille is a tactile writing system used by people who are visually impaired. It is traditionally written with embossed paper.
Braille users can read computer screens and other electronic supports using refreshable braille displays.
Braille is named after its creator, Louis Braille, a Frenchman who lost his sight as a result of a childhood accident.
Louis Braille developed a code for the French alphabet as an improvement on night writing.


Scope refers to the accessibility of different variables declared in a document. For example, we might have a variable called 'score' that tracks how many points you've scored in a match of insert name of your preferred sport
. Scope refers to what other parts of the code are capable of interacting with this 'score' variable. In Javascript, the rules for this are very simple. Either the variable is 'global', accesible to any other code; Or the variable is 'local', only 'seen' by code within a function. Another way to put it is: either your score sheet is right on top of the dresser where it's visible to everyone (global scope); Or, it's in one of the drawers (a function) where it will only be visible when you open that particular drawer (local scope).


To play, move your mouse or touch the screen to move your paddle up or down. You can also use W and S. Your paddle is on the left, the computer is on the right.
To win, be the first to get 10 points.


Dear {{ user.username }},
We would like to notice you that a new house was added to your account.
You can check your account now by clicking on the link below. {{ url_for('auth.login', _external=True) }}
Sincerely,
The Houserent Team


The story of John Bunyan, Nathaniel Crouch, and what their books meant to Franklin reveals an important aspect of his library. At any given moment the books shelved within it mirrored his personality. Once he could no longer identify with the ideas "Pilgrim's Progress" represented, he neither needed nor wanted the book in his library. Instead, he turned it and his other Bunyan volumes into capital, which he used to acquire new books more closely reflecting his state of mind. He would often repeat the process. His library was a dynamic collection. Once he exhausted a book's usefulness, he sometimes got rid of it. If he thought someone else might benefit from one of his books, he might give it to that person. Not until the end of his life, when he started thinking about the permanence of his library, did he hesitate to remove books from his collection.
Bacon ipsum dolor sit amet jowl leberkas ball tip venison ground round beef ribs turducken. Brisket short loin flank, doner pork loin andouille frankfurter capicola tri-tip tail. Jerky pig sausage shankle.   Short ribs turkey shoulder jowl. Short loin pork chop flank, strip steak andouille boudin venison fatback.
Short loin capicola short ribs jerky leberkas ground round, jowl shank ball tip strip steak pig. Boudin pork belly swine capicola chicken fatback, andouille beef ribs. Turducken pork chop swine, chicken turkey short ribs flank capicola. Brisket shank jerky, t-bone frankfurter spare ribs strip steak prosciutto tail sausage tri-tip. Kielbasa drumstick capicola filet mignon beef ribs frankfurter.
Pastrami filet mignon pork chop pancetta short loin. Ball tip frankfurter flank, ribeye bacon spare ribs jerky ground round meatloaf pancetta. Rump shankle ground round, cow beef shoulder drumstick pork salami venison beef ribs short ribs pancetta. Ground round filet mignon pork loin, sirloin shoulder jowl pork chop spare ribs t-bone capicola. Rump chicken beef ribs venison doner shankle.


There are two C libraries which provide a socket interface to the
pigpio daemon. They provide an interface very similar to the
pigpio Python module.
- The original pigpiod_if library is
now deprecated and will no longer be updated. This library is
limited to controlling one Pi at a time.
- The new pigpiod_if2 library which
should be used for new code. This library allows multiple Pis
to be controlled at one time.
Additional details of the pigpio socket
interface.
Additional details of the pigpio pipe
interface.
pig2vcd is a utility which converts
pigpio notifications into the VCD (Value Change Dump) format.
VCD can be read by many programs, in particular GTKWave.


2018-2019 CS Club Officer Positions For Election
-
2 Vice Presidents
Vice presidents, please help the president improving the community and implementing new ideas.
-
1 Treasure
Treasure, we need to have enough funds for our activities, but it doesn’t mean that people who don’t pay the dues/donations
are not part of the community.
-
1 Secretary
Secretary, I suggests you to keep the attendance, meeting recaps, and assist the other officers.
-
1 Public Relationships & Marketing
Public & Mark, do you still remember the flyers we have around the school? Our morning announcements, emails, facebook posts,
discord chats, etc.?
-
1 Webmaster
Webmaster, we need a better website than the one we have right now. Look at this page… And we need https.
-
Any other positions that you think we should have.
Just to make it clear, supporting the other officers is not only the Secretary's job.
And you are welcome to campaign for the president, as long as the computer science club will be a friendly and welcoming
community for all.
For the last and very interesting position, results will be determined by the current officers through internal selection.
The rest of the above positions will be elected. However, I, the current Vice President Troy, and Mr. Lau reserve the
right to make the final decision.
To be elected, we suggest you prepare a 3-minute speech or anything that demonstrates that you are qualified as an officer
of the CS club. However, you cannot attack any other candidates. We don’t want another
Eric v. Dhruv case 2 years ago, if you know what that is.
- Apollo, 2017-2018 Oakton CS Club President


Target Group:
Wheelchair users with mobility in their upper body with paralysis/limitations from the waist down.
The Problem:
Through user research, we uncovered how discouraged wheelchair users are from traveling to new places. Airlines often damage their $2,000+ wheelchairs, they have to wait around for days for wheelchair replacements. Also,loading a wheelchair on and off a plane can be time consuming. Going through security at the airport can also be degrading as they have to be lifted from their chairs and patted down extensively.
Wheelchair users develop an “I can’t” mentality due to the limited and inconsistent accessibility infrastructure around them.
Our primary method used for design research was interviews. We felt that interviews were the best way to design for real people, who have insight into how they perceive travel. These participants revealed pain points, and attitudes, that guided our design and allowed us to focus on a more specific goal. The personalized focus in the interviews allowed us to hone in on the focus of our project: encouraging wheelchair users to break out of an “I can’t” mentality. In addition to interviews, we also made use of other methods on the side such as participant observation (i.e how wheelchair users board a bus: what are pain points there) and directed stories (i.e through wheelchair travel blogs).


Christian comedian John Crist cancels tour
NASHVILLE, Tenn. (AP) - Christian comedian John Crist has canceled his tour and a planned Netflix special is on hold after he acknowledged mistreating women.
Crist, who often skewers evangelical Christian culture in his skits and online videos, apologized in a statement released Thursday for treating “relationships with women far too casually, in some cases recklessly.” He said he has sinned against God and women and hurt many people in the process.
In an article posted on the website for the Christian magazine “Charisma,” anonymous women accused Crist of trying to kiss them and sending sexually explicit messages.
A Netflix spokesperson said Crist’s special “I Ain’t Prayin’ For That,” is on hold.
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THE GOVERNESS (Sony Classics) Starring: Minnie Driver, Tom Wilkinson, Florence Hoath, Harriet Walter, Jonathan Rhys-Meyers. Screenplay: Sandra Goldbacher. Producer: Sarah Curtis. Director: Sandra Goldbacher.  Reviewed by Scott Renshaw.
Here's the faint praise with which I ultimately damn THE GOVERNESS: while I was consistently interested in the film, I'm not sure I could tell you what the point of it all was. Certainly I could outline the plot, which centers around a young Sephardic Jewish woman named Rosina Da Silva (Minnie Driver) in 1840s London. When her father dies suddenly, leaving a mountain of debt, Rosina is obliged either to marry or find employment of her own. The high-spirited girl opts for the latter course, posing as a Gentile named Mary Blackchurch in order to work as a governess for a Christian family called Cavendish on Scotland's Isle of Skye. There she finds herself drawn to patriarch Charles (Tom Wilkinson), a reclusive scientist, even as his son Henry (Jonathan Rhys-Meyers) becomes fascinated with Rosina/Mary.
From there, however, things start to get a little murky. We know that Rosina is a stranger in a strange land; will the central conflict be a clash of cultures? We know her young charge Clementina (Florence Hoath) is a trouble-maker; will the story follow their growing mutual affection? We know that Rosina has dreams of performing on the stage; will we find her getting lost in the real-life performance she is forced to undertake? We know that Mrs. Cavendish (Harriet Walter) feels suffocated by her isolated country life; will she and Rosina act as counterpoints in a study of acceptable female roles, or bond over their shared pining for the city?
The answer to these questions and more is a resounding "sort of." The bulk of the narrative is devoted to the developing relationship between Charles and Rosina, a relationship hinged on a provocative irony: though Rosina loves Charles for his ability to appreciate her mind (when he invites her to assist in his research), he only knows her as the fiction she has created. Yet all the rich background provided by writer/director Sandra Goldbacher teases without adding up to enough. In the long run, it's virtually irrelevant that Rosina is Jewish; all she really needs is some sort of dark secret to hide from the Cavendish family. The Rosina-as-actress angle disappears after the first act, shortly followed by the conflict between Rosina and Clementina (dismissed in one threatening tug of the pigtails).
Most disappointing of all is the lack of interest Goldbacher shows in developing her secondary characters. Mrs. Cavendish, a potentially touching portrait of repressed longing, instead becomes comic relief described as though "she had a lemon stuck up her bottom." Even more mysterious is young Henry, whose obsession with Rosina may be an act of rebellion, or perhaps a fleeting adolescent crush, or perhaps some mixture of the two. In any case, it certainly doesn't mean enough for a lingering scene of Henry writhing naked in the surf to provide anything more than the film's _second_ gratuitous penis shot. Driver's strong, sensual performance as Rosina and Wilkinson's turn as the conflicted Charles do fill in plenty of gaps, but it's tough to get caught up in a romantic square composed of one real woman, half an identifiable man, a pale and petulant enigma, and a stick figure wrapped in a shawl.
All the time that might have been spent sorting out their motivations is spent instead on a metaphor so massively obvious you might trip over it on your way out into the lobby. Charles' major scientific investigation involves photography, particularly how to hold the transient images which fade over several hours. Leaving aside Rosina's Forrest Gump-like discovery of the darkroom and the concept of saline solution developing, the entire photography angle feels like one long attempt to distinguish between our two principal characters -- she wants to capture human faces (i.e. she's vibrant and alive), he is interested only in inanimate objects (i.e., he's cold and reserved). What we don't see is what this has to do with any of the other cultural or sociological tidbits Goldbacher drops along the way. Driver's Rosina is a compelling enough presence that you'll want to put the pieces together, but you'll find far more ambition than resolution. THE GOVERNESS fairly drowns in context desperately seeking some content.
On the Renshaw scale of 0 to 10 blue Skyes: 5.
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Please copy C:\siglib\lib\Microsoft\dynamic_library\Debug\siglib.dll to C:\Windows\System32 before executing these examples.
Microsoft Visual C/C++ Examples -
FFT
IIR Filtering
IIR Filter Cut-off Frequency Shifting
Zoom FFT
Matrix Processing
DTMF Detection
Visual
Basic Example
Agilent
VEE Example
Excel
Example
| For
further information, please contact : Email<EMAIL_ADDRESS>|
|
Copyright © 2020, Sigma Numerix Ltd.
SigLib and Digital Filter Plus are trademarks of Sigma Numerix Ltd. All
other trademarks acknowledged.
Sigma Numerix are continuously increasing the functionality of SigLib
and reserve the right to alter the product at any time.


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LPlumeria (common name Frangipani) is a small genus of 7-8 species that grow in tropical and subtropical Americas. The genus consists of mainly deciduous shrubs and trees. P. rubra (Common Frangipani, Red Frangipani), that grows in Mexico, Central America, and Venezuela, produces flowers ranging from yellow to pink. From Mexico and Central America, Plumeria has spread to all tropical areas of the world, especially Hawaii, where it grows so abundantly that many people think that it is native there.
Learn MoreIn several Pacific islands, such as Tahiti, Fiji, Samoa, Hawaii, New Zealand, Tonga, and the Cook Islands Plumeria species are used for making leis.[13] In modern Polynesian culture, the flower can be worn by women to indicate their relationship status - over the right ear if seeking a relationship, and over the left if taken. In the Philippines and Indonesia, Plumeria, which is known in Tagalog as Kalachuchi, often is associated with ghosts and graveyards.[15] Plumerias often are planted on cemetery grounds in both countries. They are also common ornamental plants in houses, parks, parking lots, etc. in the Philippines. Balinese Hindus use the flowers in their temple offerings.
Learn MorePlumeria is related to the Oleander, Nerium oleander, and both possess an irritant, rather similar to that of Euphorbia. Contact with the sap may irritate eyes and skin.[8] Each of the separate species of Plumeria bears differently shaped alternate leaves with distinct form and growth habits. The leaves of P. alba are narrow and corrugated, whereas leaves of P. pudica have an elongated shape and glossy, dark-green color. P. pudica is one of the everblooming types with non-deciduous, evergreen leaves. Another species that retains leaves and flowers in winter is P. obtusa; though its common name is "Singapore," it is originally from Colombia. Plumeria flowers are most fragrant at night in order to lure sphinx moths to pollinate them. The flowers have no nectar, however, and simply dupe their pollinators. The moths inadvertently pollinate them by transferring pollen from flower to flower in their fruitless search for nectar.
Learn MoreDo you Remember by J Boog:
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Lorem ipsum dolor sit amet, consectetur adipisicing elit. Molestias, expedita, saepe, vero rerum deleniti beatae veniam harum neque nemo praesentium cum alias asperiores commodi.


FastCGI process manager for Apache web server.
What is the process manager?
The process manager is an
executable program that is responsible for controlling the execution of
the FastCGI applications. The control is accomplished through starting
the applications, restarting them if they have terminated for some reason
and deciding when the FastCGI application should no longer run, as in the
case of dynamically started FastCGI apps.
Why is it needed ?
The FastCGI protocol depends
on the persistent applications being run during the web server execution
to handle incoming HTTP requests. In most cases these persistent
applications must be started prior to serving any requests forwarded to
them by the web server (an exception are the dynamically started FastCGI
applications).  It
is the job of the process manager to maintain this control over the execution
of the FastCGI applications.
What is going on when the webserver starts ?
When the web server reads
its configuration files and encounters a directive in which a certain module
maybe interested in, it calls a corresponding function in that module
to handle the processing of the directive. In FastCGI module mod_fastcgi,
these directives (AppClass and ExternalAppClass) are used to specify what
FastCGI applications should be started/restarted by the process manager
in order to handle incoming requests. After the web serve has finished
reading its configuration files, a process manager process is executed,
which in turn executes all preconfigured FastCGI applications, so that
they can begin accepting requests. The process manager then enters
an infinite loop until the time that the web server has informed it [process
manager] about the termination, at which time the process manager's duties
include terminating all child processes (FastCGI applications), freeing
up any used resources, such as memory, file descriptors, etc. and terminating.
How does the process manager interact with the dynamically started FastCGI
applications ?
Some of the process manager
functionality has been changed to accomodate the dynamically created FastCGI
processes, i.e. the processes that do not need to be configured using the
AppClass directive, but are started on their first invokation just like
CGI. Since the process manager has no prior information about the
name of the FastCGI application executable that needs to be created, it
has to obtain that information from somewhere. However, only the
web server knows the name of the FastCGI executable from the HTTP request
line, so it puts an information into a file and signals the process manager
to create the given FastCGI applications. It is important to note
that locking is needed to avoid multiple web server processes writing information
into the file at the same time, causing unpredictable behavior.
Once the process manager
obtains the name of the FastCGI executable from the file, it creates it
and treats it just like any other preconfigured FastCGI application.
An important exception is that the dynamically started applications will
NOT be restarted, since they may be faulty and we do not want them to run
or the process manager has decided that they should be terminated and so
it should not attempt to restart them (see below). The process manager
only created one copy of the given FastCGI application as it is not aware
of how "popular" this application is or will be. Therefore, it needs
to perform some data analysis to decide whether another copy of the applications
should be started or whether an application has too many instances running
and one of them should be terminated or whether all of them should be terminated.
The data to be analyzed comed via the same file mechanism from the web
server processes.
Since there are many web
server processes and only one process manager, the data processing is done
within the process manager process. This also means that the process
manager is implementing a policy, be deciding which FastCGI applications
should have another instance created and which should have their instances
terminated. The decisions on termination of the FastCGI apps are
made using the following heurisitics (top-level design):
-
given the last time period in which the data analysis was done (which is
specified via -updateInterval option to FCGIConfig), for each dynamically
started FastCGI application, calculate how much of that time was spent
by the application handling the request (the information about it comes
from the web server process that knows when the start and end times of
the request to the FastCGI application).
-
since the last data analysis period the web server might have been a spike
of incoming requests or a dead interval after a number of periods of great
activity. As such, you do not want to make your decisions on whether to
terminate the FastCGI application just based on the time interval elapsed
since the last data analysis was performed. Therefore, an exponential
decay was introduced to smooth out the possible spikes in the web server.
The formula for calculating the "new popularity" is:
-
result
= (1-gain)*old_value + gain*new_value; old_value = new_value;
-
where the old_value is the load of the FastCGI application calculated
during the previous data analysis periods, the new_value is the currently
calculated load factor and the gain is the value
in the range 0..1 specified via -gainValue directive. As one can
see, specifying the gain to be 1 would put more emphasis onto new data
(which is useful if you have very large updateInterval or if you would
like your FastCGI processes to be responsive, so that if many requests
come in, many copies of the FastCGI application are started immediately
and if none come in, many copies of the FastCGI application are to be terminated).
Specifying the value closer to 0 would put a larger emphasis onto old data,
smoothing out the starting and termination of the FastCGI processes.
-
once the new "normalized" load factor is calculated using the above formula,
it is compared with the parameters specified via -singleThreshhold and
-multiThreshhold options to the FCGIConfig directive. If the given
FastCGI application has multiple instances of it running and the "normalized"
load factor has fallen below -multiThreshhold, a single instance of that
application is marked to be terminated. If the application has only
a single copy executing and the "normalize" load factor has fallen below
-singleThreshhold, then the only instance is also marked for termination.
Since we would like at least a single copy of the application to be run
(even if it is not very popular), singleThreshhold parameter should be
much much less than multiThreshhold.
-
the process manager also does not want to kill off all FastCGI processes
during the long periods of inactivity (say at nighttime), since the cost
of starting a process may be high. A -minProcesses parameter is used
to tell the process manager NOT to mark anymore processes to be terminated
once this minimum is reached just for that case.
-
the actual termination of the dynamically started FastCGI processes
takes place later on, which involves some synchornization and locking techniques
to avoid receiving and processing a request by the application that is
about to be terminated. The actual termination is governed by the
-killInterval and -processSlack options to the FCGIConfig directive.
In the normal case, the process manager would perform its killing policy
(just terminating the FastCGI applications that have been marked as victims
during the data analysis stage) every n seconds, where n is the number
specified as a parameter to the -killInterval option. However, it
may come the time that the web servers are very busy servicing a lot of
FastCGI requests. The process manager governs the ceiling on the
total number of dynamically started processes that can be running at any
one time. So, if web server is asking to start a number of the FastCGI
processes, but starting them would exceed the ceiling value, the process
manager needs to implement the killing policy immediately, i.e.
-
if (#of
running processes + processSlack > #max processes) do_killing_policy_now();
The starting of the dynamically
started FastCGI processes is also governed by a few options to the FCGIConfig
directive. After the web server recieves a request for the FastCGI
application, it first determines if the current application has already
been started. It is has not, the web server sends a request to the
process manager, asking it to start the given FastCGI application.
After that the web server attempts to connect to FastCGI applicaton via
connect() system call. The attempt may fail, since the process manager
needs time to process the data and start the corresponding FastCGI application.
To allow for that contingency, a -startDelay option is used to specify
a time interval that the web server is going to wait trying to connect
to the application. If the connection is still unsuccessful, it will
issue another request to start FastCGI application (this is done in case
there are FastCGI application currently running but all of them maybe servicing
requests or server is implementing a killing policy or something else).
The web server keeps repeating its attempts until number of seconds specified
via -appConnTimeout parameter has expired, which is usually an indicator
of either bad configuration (low values for killInterval and very high
load or low value for multiThreshhold, etc) or a bad FastCGI script, where
the process manager is unable to start it.
What does the future hold for the process manager ?
The future enhancements to
the process manager includes complete separation of process manager functionality
from the web server core and providing web-server independent mechanism
of informing the process manager of the important events, such as start/termination
of the web server, configuration file parsing, etc. This would
also aid in porting the process manager functionality to other operating
systems. Finally, an overall redesign may be needed to optimize the
management of the FastCGI applications, possibly using OS-dependent facilities.
$Stanley Gambarin<EMAIL_ADDRESS>1997/09/27 12:23:23 PM PST$


module Formatter:{
..}
type t
= {
|
indent : |
(* |
Increase the indentation level.
| *) |
|
dedent : |
(* |
Decrease the indentation level.
| *) |
|
format_usage : |
(* |
Format usage string into style of this formatter.
| *) |
|
format_heading : |
(* |
Format heading into style of this formatter.
| *) |
|
format_description : |
(* |
Format description into style of this formatter.
| *) |
|
format_option : |
(* |
Format option into style of this formatter (see explanation below).
| *) |
format_option
has
signature format_option (snames,lnames) metavars help
, where
snames
is a list of the short option names, lnames
is a
list of the long option names, metavars
is a list of the
metavars the option takes as arguments, and help
is the help
string supplied by the user.format_option
has
signature format_option (snames,lnames) metavars help
, where
snames
is a list of the short option names, lnames
is a
list of the long option names, metavars
is a list of the
metavars the option takes as arguments, and help
is the help
string supplied by the user.let indented_formatter : level::Pervasives.ref int? =>
indent::Pervasives.ref int? =>
indent_increment::int? =>
max_help_position::int? =>
width::int? => short_first::bool? => unit => t
level
: Reference to the current indentation level. Its
value reflects changes in indentation level.indent
: Reference to the current indentation amount. Its
value reflects changes in indentation level.indent_increment
: Number of columns to indent by when
more indentation is required.max_help_position
: Maximum starting column for the help
messages relating to each option.width
: Total with of the usage messages printed.short_first
: List all the short option names first?let titled_formatter : level::Pervasives.ref int? =>
indent::Pervasives.ref int? =>
indent_increment::int? =>
max_help_position::int? =>
width::int? => short_first::bool? => unit => t
OptParse.Formatter.indented_formatter
for a description of
the options.let wrap : initial_indent::int? =>
subsequent_indent::int? => string => int => list string
wrap text width
reflows the given text paragraph into lines
of width at most width
(lines may exceed this if the are
single words that exceed this limit).initial_indent
: Indentation of the first line.subsequent_indent
: Indentation of the following lines.let fill : initial_indent::int? => subsequent_indent::int? => string => int => string
OptParse.Formatter.wrap
.


Should ICT remain on the National Curriculum?
Apr 14, 2011
I coordinated Naace’s response to the first round of the National Curriculum consultation call for evidence. The full response is online at http://www.naace.co.uk/1526, but our response to Q19, which specifically addressed the future of ICT as a National Curriculum subject was as follows:
In future, do you think information and communication technology should continue to be a National Curriculum subject?
Given how integral digital technology has become to so many aspects of life it is essential that all pupils should be entitled to develop their understanding of information technology, including both digital literacy and computational thinking whilst at primary and secondary school.
ICT is a complex although nevertheless well-defined subject in its own right, and whilst its delivery is often through practical work sometimes crossing boundaries with other subject disciplines, the body of knowledge which it contains must be recognised as an essential component of a modern education and does not properly form part of any other National Curriculum subject, nor should this body of knowledge be confused with the use of ICT skills or systems in learning or teaching the content of other subjects, just as English retains its identity as a subject in addition to being the medium of instruction and learning across the curriculum.
The inclusion of ICT as a compulsory subject at all stages of the National Curriculum, over and beyond the role of digital technologies in supporting, extending and enriching learning and teaching across the curriculum is necessitated by the following factors, amongst others.
- Given the extent to which pupils make use of digital technology in their studies and personal lives, and the extent to which they are likely to use them in adult life, they should be taught the fundamental principles and concepts underpinning IT: it is insufficient to know how to use these systems: pupils should understand how such systems operate, the processes which are followed in their construction, and something of the theory which underpins computer programs and complex information systems.
- An all round, liberal education in the 3rd millennium must include an understanding of digital technology including computing: this has become as important as poetry and algebra, and probably more useful than either.
- Such an understanding of digital technology and computing provides access to further academic study and rewarding career paths, providing an enhancing social mobility. The development of such understanding cannot be left to chance.
- An understanding of digital technology and computing extending beyond operator skills, results in:
- greater autonomy and empowerment as users of technology;
- an awareness of the development and role of information systems in modern society;
- better informed decision making in personal and professional contexts; and
- safer, more responsible use of information systems.
- The theory of digital systems and computational thinking have academic rigour and are of increasing importance in other demanding domains of economic significance including STEM subjects and social sciences.
- The economic benefits of a digitally literate workforce with a deep understanding of computational thinking are significant, and a growing stream of individuals capable of high quality creative work in digital media, software and hardware is vital for the future success of UK industry and the economy as a whole. Our competitors understand that digital technologies are critical components of industry and commerce and recognise in their school curricula that learners must be taught to use and develop these technologies safely and effectively.
Naace has some concern that the present title of the subject, ‘Information and Communication Technology’ may be seen by many solely in terms of digital literacy skills rather than the underpinning conceptual understanding proper to the subject, and would ask the Department to consider renaming the subject as ‘Information Technology and Computing’.
Whilst Naace is very supportive of the view that pedagogic decisions should be made at school level and the devolution of as much curricular decision making to this level, the purpose of minimum entitlement that is central to the National Curriculum seems to demand that at least some statutory specification of a minimal Programme of Study be made.
Naace would be pleased to work with the Department in developing such a Programme of Study, perhaps structuring this to emphasise the concepts and principles on which an understanding of computing and digital technology rests.
It is Naace’s view that Government’s role should be confined to the specification of a minimum curricular entitlement for the subject, including a minimal programme of study describing the concepts and principles which are essential to the study of the subject at school level.
Non-statutory guidance or expansions of such programmes of study might then be developed by those most directly engaged in their implementation at school or LA level, by subject associations, learned societies, industry and commercial organisations.
Share


--- notes: | Section headers provide an alternate heading style for more prominent groups of content. These can be provided on any heading level. ---


The Unknown Teachers
☰ Menu
As we know that Teachers Day is on September 5 as a birthday of Sarvapalli Radhakrishna.
People are talking more and more about education today. Whether you hear
something on the news, hear about some college scandal, or discuss the rise of
college debt, we all know that change needs to happen in the education industry
and without teachers its impossible.
About This Article:- I have written this Article so as to introduce the unknown teachers in
world....
So lets get started,
1)William Holmes McGuffey
McGuffey was a college professor who became famous for creating the McGuffey Readers.
The Readers were essentially the first elementary-level textbooks and sold over 120 million
copies between 1836 and 1960.
2)Toru Kumon
Kumon was a Japanese Math teacher who started creating worksheets to help his
son improve his Math skills, which developed into the Kumon method of learning.
He started opening learning centres in Japan in the '50s and now they're located
throughout the world. The program helps students with Math and language by
providing worksheets specially suited to their abilities.
3)Emma Willard
Willard was at the forefront of the women's rights movement and used education to further
the cause. She opened the Troy Female Seminary in 1821, which was the first school for
women's higher education.
4)Booker T. Washington
Washington was a former slave who put himself through school and then devoted his time
to educating children and adults in West Virginia. He also returned to teach at his alma
mater (Hampton Institute) and eventually started the Tuskegee Normal and Industrial
Institute as well as the National Negro Business League.
5)Salman Khan (not the actor 🙂)
Khan is a prime of example of the power of the internet. His khan acedemy is a free
online education platform featuring thousands of lessons on a variety of academic
subjects. The YouTube channel has over four million subscribers.
Senthil Kumar
Writer and Web developer
Philomath Team


My name is Marco and I’m a freelance software engineer.
You can find me on:
Or take a look at my CV/Resume.
In the media:
📽 “We
need millions of images and we need them yesterday”
(PyCon
Balkan, 2018)
📝 “Real
time detection of cache based side channel attacks”
(Journal
of Applied Soft Computing, 2016)
🗞 “A Clever Hack Kinda-Sorta Brings 3D Touch to Android”
(Gizmodo, 2015)


---
title: B-Planned - The Planning App you'll ever need
description: B-Planned helps you better organize your meetings, schedule and save notes in your meeting events at one place.
---
Be better Planned.
The Planning App you'll ever need
B-Planned helps you create and organize your meetings on a calendar.
B-Planned app helps you organize your meetings notes at one place. So you are more focused on meetings, then re-calling stuffs.
Never miss out on anything that you previously discussed or want to discuss.
Start your 14 days free trial today. No Credit Card Required


Lists Tests
ul
default
list-style: disc
list-style: square
list-style: circle
ol
default
- First
- Second
- Third
list-style: decimal
- First
- Second
- Third
list-style: decimal-leading-zero
- First
- Second
- Third
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
list-style: lower-alpha
- First
- Second
- Third
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
list-style: upper-alpha
- First
- Second
- Third
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
list-style: upper-roman
- First
- Second
- Third
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
list-style: lower-roman
- First
- Second
- Third
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry


Not required, nothing special:
Just required:
Email:
URL:
Number:
Number (Min 0):
Number (Max 10):
Number (Min 1, Max 10):
Number (Min 1, Max 10, Step 2):


 Please let me know in case of any issues.
Calculate how many exercise weapons you have to use to get from skill X to skill
Y.
REMEMBER to always buy exercise weapons for gold when the price of Tibia Coins is above 10 500 gp on
your server.


Structure
ProviderTree
public struct ProviderTree
Use the ProviderTree
to group providers by financial institution, access type and credentials kind.
You initialize a ProviderTree
with a list of providers.
let providerTree = ProviderTree(providers: <#T##Providers#>)
Handle selection of a provider group by switching on the group to decide which screen should be shown next.
override func tableView(_ tableView: UITableView, didSelectRowAt indexPath: IndexPath) {
let financialInstitutionGroupNode = financialInstitutionGroupNodes[indexPath.row]
switch financialInstitutionGroupNode {
case .financialInstitutions(let financialInstitutionGroups):
showFinancialInstitution(for: financialInstitutionGroups)
case .financialServices(let financialServicesGroups):
showFinancialServicesPicker(for: financialServicesGroups)
case .accessTypes(let accessTypeGroups):
showAccessTypePicker(for: accessTypeGroups)
case .credentialsKinds(let groups):
showCredentialsKindPicker(for: groups)
case .provider(let provider):
showAddCredentials(for: provider)
}
}
Relationships
Nested Types
ProviderTree.CredentialsKindNode
A parent node of the tree structure, with a
Provider
as it's leaf node.ProviderTree.AccessTypeNode
A parent node of the tree structure, with a list of either
CredentialsKindNode
children or a singleProvider
.ProviderTree.FinancialServicesNode
ProviderTree.FinancialInstitutionNode
A parent node of the tree structure, with a list of either
AccessTypeNode
,CredentialsKindNode
children or a singleProvider
.ProviderTree.FinancialInstitutionGroupNode
A parent node of the tree structure, with a list of either
FinancialInstitutionNode
,AccessTypeNode
,CredentialsKindNode
children or a singleProvider
.
Initializers
init(providers:)
public init(providers: [Provider])
Creates a ProviderTree
that groups the provided providers by their properties.
Properties
financialInstitutionGroups
let financialInstitutionGroups: [FinancialInstitutionGroupNode]
The financial institution groups.
These are the "top" level of the ProviderTree
and is suitable for displaying in a list where the user needs to select a provider.
Methods
makeFinancialInstitutions()
public func makeFinancialInstitutions() -> [FinancialInstitutionNode]
Creates a list of all financial institutions that is currently in the tree structure.


--- layout: default_en --- {% include nav_en.html %} {% include header_en.html %} {% include about_en.html %} {% include camps_portfolio_en.html %} {% include sponsors_en.html %}


(This is a live Twitch Search - I have built beyond just searching within the array, it's still WIP because it isn't posting when an account doesn't exist. Everything else is fully functional)
Online Streamers:
Offline Streamers:
Search Field(WIP)
This is a simple use of API. I did not add much excess functionality to this project, as my key point was to hit the User Stories, and add a slight functionality. I will likely re-visit it later to add more UX, and additional functionality.


AWS Support
The AWS Support API reference is intended for programmers who need
detailed information about the AWS Support operations and data
types. This service enables you to manage your AWS Support cases
programmatically. It uses HTTP methods that return results in JSON
format.
The AWS Support service also exposes a set of `Trusted Advisor`_
features. You can retrieve a list of checks and their
descriptions, get check results, specify checks to refresh, and
get the refresh status of checks.
The following list describes the AWS Support case management
operations:
- **Service names, issue categories, and available severity
levels. **The DescribeServices and DescribeSeverityLevels
operations return AWS service names, service codes, service
categories, and problem severity levels. You use these values when
you call the CreateCase operation.
- Case creation, case details, and case resolution. The
CreateCase, DescribeCases, DescribeAttachment, and ResolveCase
operations create AWS Support cases, retrieve information about
cases, and resolve cases.
- Case communication. The DescribeCommunications,
AddCommunicationToCase, and AddAttachmentsToSet operations
retrieve and add communications and attachments to AWS Support
cases.
The following list describes the operations available from the AWS
Support service for Trusted Advisor:
- DescribeTrustedAdvisorChecks returns the list of checks that run
against your AWS resources.
- Using the CheckId for a specific check returned by
DescribeTrustedAdvisorChecks, you can call
DescribeTrustedAdvisorCheckResult to obtain the results for the
check you specified.
- DescribeTrustedAdvisorCheckSummaries returns summarized results
for one or more Trusted Advisor checks.
- RefreshTrustedAdvisorCheck requests that Trusted Advisor rerun a
specified check.
- DescribeTrustedAdvisorCheckRefreshStatuses reports the refresh
status of one or more checks.
For authentication of requests, AWS Support uses `Signature
Version 4 Signing Process`_.
See `About the AWS Support API`_ in the AWS Support User Guide for
information about how to use this service to create and manage
your support cases, and how to call Trusted Advisor for results of
checks on your resources.
-
APIVersion = '2013-04-15'
-
DefaultRegionEndpoint = 'support.us-east-1.amazonaws.com'
-
DefaultRegionName = 'us-east-1'
-
ResponseError
alias of JSONResponseError
-
ServiceName = 'Support'
-
TargetPrefix = 'AWSSupport_20130415'
-
add_attachments_to_set(attachments, attachment_set_id=None)
Adds one or more attachments to an attachment set. If an
AttachmentSetId is not specified, a new attachment set is
created, and the ID of the set is returned in the response. If
an AttachmentSetId is specified, the attachments are added
to the specified set, if it exists.
An attachment set is a temporary container for attachments
that are to be added to a case or case communication. The set
is available for one hour after it is created; the
ExpiryTime returned in the response indicates when the set
expires. The maximum number of attachments in a set is 3, and
the maximum size of any attachment in the set is 5 MB.
| Parameters: |
- attachment_set_id (string) – The ID of the attachment set. If an
AttachmentSetId is not specified, a new attachment set is
created, and the ID of the set is returned in the response. If an
AttachmentSetId is specified, the attachments are added to the
specified set, if it exists.
- attachments (list) – One or more attachments to add to the set. The
limit is 3 attachments per set, and the size limit is 5 MB per
attachment.
|
-
add_communication_to_case(communication_body, case_id=None, cc_email_addresses=None, attachment_set_id=None)
Adds additional customer communication to an AWS Support case.
You use the CaseId value to identify the case to add
communication to. You can list a set of email addresses to
copy on the communication using the CcEmailAddresses value.
The CommunicationBody value contains the text of the
communication.
The response indicates the success or failure of the request.
This operation implements a subset of the behavior on the AWS
Support `Your Support Cases`_ web form.
| Parameters: |
- case_id (string) – The AWS Support case ID requested or returned in the
call. The case ID is an alphanumeric string formatted as shown in
this example: case-<PHONE_NUMBER>0-2013-c4c1d2bf33c5cf47
- communication_body (string) – The body of an email communication to add to
the support case.
- cc_email_addresses (list) – The email addresses in the CC line of an
email to be added to the support case.
- attachment_set_id (string) – The ID of a set of one or more attachments
for the communication to add to the case. Create the set by calling
AddAttachmentsToSet
|
-
create_case(subject, communication_body, service_code=None, severity_code=None, category_code=None, cc_email_addresses=None, language=None, issue_type=None, attachment_set_id=None)
Creates a new case in the AWS Support Center. This operation
is modeled on the behavior of the AWS Support Center `Open a
new case`_ page. Its parameters require you to specify the
following information:
- IssueType. The type of issue for the case. You can
specify either “customer-service” or “technical.” If you do
not indicate a value, the default is “technical.”
- ServiceCode. The code for an AWS service. You obtain
the ServiceCode by calling DescribeServices.
- CategoryCode. The category for the service defined for
the ServiceCode value. You also obtain the category code for
a service by calling DescribeServices. Each AWS service
defines its own set of category codes.
- SeverityCode. A value that indicates the urgency of the
case, which in turn determines the response time according to
your service level agreement with AWS Support. You obtain the
SeverityCode by calling DescribeSeverityLevels.
- Subject. The Subject field on the AWS Support
Center `Open a new case`_ page.
- CommunicationBody. The Description field on the AWS
Support Center `Open a new case`_ page.
- AttachmentSetId. The ID of a set of attachments that
has been created by using AddAttachmentsToSet.
- Language. The human language in which AWS Support
handles the case. English and Japanese are currently
supported.
- CcEmailAddresses. The AWS Support Center CC field
on the `Open a new case`_ page. You can list email addresses
to be copied on any correspondence about the case. The account
that opens the case is already identified by passing the AWS
Credentials in the HTTP POST method or in a method or function
call from one of the programming languages supported by an
`AWS SDK`_.
A successful CreateCase request returns an AWS Support case
number. Case numbers are used by the DescribeCases operation
to retrieve existing AWS Support cases.
| Parameters: |
- subject (string) – The title of the AWS Support case.
- service_code (string) – The code for the AWS service returned by the call
to DescribeServices.
- severity_code (string) – The code for the severity level returned by the
call to DescribeSeverityLevels.
- category_code (string) – The category of problem for the AWS Support case.
- communication_body (string) – The communication body text when you create
an AWS Support case by calling CreateCase.
- cc_email_addresses (list) – A list of email addresses that AWS Support
copies on case correspondence.
- language (string) – The ISO 639-1 code for the language in which AWS
provides support. AWS Support currently supports English (“en”) and
Japanese (“ja”). Language parameters must be passed explicitly for
operations that take them.
- issue_type (string) – The type of issue for the case. You can specify
either “customer-service” or “technical.” If you do not indicate a
value, the default is “technical.”
- attachment_set_id (string) – The ID of a set of one or more attachments
for the case. Create the set by using AddAttachmentsToSet.
|
-
describe_attachment(attachment_id)
Returns the attachment that has the specified ID. Attachment
IDs are generated by the case management system when you add
an attachment to a case or case communication. Attachment IDs
are returned in the AttachmentDetails objects that are
returned by the DescribeCommunications operation.
| Parameters: | attachment_id (string) – The ID of the attachment to return. Attachment
IDs are returned by the DescribeCommunications operation. |
-
describe_cases(case_id_list=None, display_id=None, after_time=None, before_time=None, include_resolved_cases=None, next_token=None, max_results=None, language=None, include_communications=None)
Returns a list of cases that you specify by passing one or
more case IDs. In addition, you can filter the cases by date
by setting values for the AfterTime and BeforeTime request
parameters.
Case data is available for 12 months after creation. If a case
was created more than 12 months ago, a request for data might
cause an error.
The response returns the following in JSON format:
- One or more CaseDetails data types.
- One or more NextToken values, which specify where to
paginate the returned records represented by the CaseDetails
objects.
| Parameters: |
- case_id_list (list) – A list of ID numbers of the support cases you want
returned. The maximum number of cases is 100.
- display_id (string) – The ID displayed for a case in the AWS Support
Center user interface.
- after_time (string) – The start date for a filtered date search on support
case communications. Case communications are available for 12
months after creation.
- before_time (string) – The end date for a filtered date search on support
case communications. Case communications are available for 12
months after creation.
- include_resolved_cases (boolean) – Specifies whether resolved support cases
should be included in the DescribeCases results. The default is
false .
- next_token (string) – A resumption point for pagination.
- max_results (integer) – The maximum number of results to return before
paginating.
- language (string) – The ISO 639-1 code for the language in which AWS
provides support. AWS Support currently supports English (“en”) and
Japanese (“ja”). Language parameters must be passed explicitly for
operations that take them.
- include_communications (boolean) – Specifies whether communications should
be included in the DescribeCases results. The default is true .
|
-
describe_communications(case_id, before_time=None, after_time=None, next_token=None, max_results=None)
Returns communications (and attachments) for one or more
support cases. You can use the AfterTime and BeforeTime
parameters to filter by date. You can use the CaseId
parameter to restrict the results to a particular case.
Case data is available for 12 months after creation. If a case
was created more than 12 months ago, a request for data might
cause an error.
You can use the MaxResults and NextToken parameters to
control the pagination of the result set. Set MaxResults to
the number of cases you want displayed on each page, and use
NextToken to specify the resumption of pagination.
| Parameters: |
- case_id (string) – The AWS Support case ID requested or returned in the
call. The case ID is an alphanumeric string formatted as shown in
this example: case-<PHONE_NUMBER>0-2013-c4c1d2bf33c5cf47
- before_time (string) – The end date for a filtered date search on support
case communications. Case communications are available for 12
months after creation.
- after_time (string) – The start date for a filtered date search on support
case communications. Case communications are available for 12
months after creation.
- next_token (string) – A resumption point for pagination.
- max_results (integer) – The maximum number of results to return before
paginating.
|
-
describe_services(service_code_list=None, language=None)
Returns the current list of AWS services and a list of service
categories that applies to each one. You then use service
names and categories in your CreateCase requests. Each AWS
service has its own set of categories.
The service codes and category codes correspond to the values
that are displayed in the Service and Category drop-
down lists on the AWS Support Center `Open a new case`_ page.
The values in those fields, however, do not necessarily match
the service codes and categories returned by the
DescribeServices request. Always use the service codes and
categories obtained programmatically. This practice ensures
that you always have the most recent set of service and
category codes.
| Parameters: |
- service_code_list (list) – A JSON-formatted list of service codes
available for AWS services.
- language (string) – The ISO 639-1 code for the language in which AWS
provides support. AWS Support currently supports English (“en”) and
Japanese (“ja”). Language parameters must be passed explicitly for
operations that take them.
|
-
describe_severity_levels(language=None)
Returns the list of severity levels that you can assign to an
AWS Support case. The severity level for a case is also a
field in the CaseDetails data type included in any CreateCase
request.
| Parameters: | language (string) – The ISO 639-1 code for the language in which AWS
provides support. AWS Support currently supports English (“en”) and
Japanese (“ja”). Language parameters must be passed explicitly for
operations that take them. |
-
describe_trusted_advisor_check_refresh_statuses(check_ids)
Returns the refresh status of the Trusted Advisor checks that
have the specified check IDs. Check IDs can be obtained by
calling DescribeTrustedAdvisorChecks.
| Parameters: | check_ids (list) – The IDs of the Trusted Advisor checks. |
-
describe_trusted_advisor_check_result(check_id, language=None)
Returns the results of the Trusted Advisor check that has the
specified check ID. Check IDs can be obtained by calling
DescribeTrustedAdvisorChecks.
The response contains a TrustedAdvisorCheckResult object,
which contains these three objects:
- TrustedAdvisorCategorySpecificSummary
- TrustedAdvisorResourceDetail
- TrustedAdvisorResourcesSummary
In addition, the response contains these fields:
- Status. The alert status of the check: “ok” (green),
“warning” (yellow), “error” (red), or “not_available”.
- Timestamp. The time of the last refresh of the check.
- CheckId. The unique identifier for the check.
| Parameters: |
- check_id (string) – The unique identifier for the Trusted Advisor check.
- language (string) – The ISO 639-1 code for the language in which AWS
provides support. AWS Support currently supports English (“en”) and
Japanese (“ja”). Language parameters must be passed explicitly for
operations that take them.
|
-
describe_trusted_advisor_check_summaries(check_ids)
Returns the summaries of the results of the Trusted Advisor
checks that have the specified check IDs. Check IDs can be
obtained by calling DescribeTrustedAdvisorChecks.
The response contains an array of TrustedAdvisorCheckSummary
objects.
| Parameters: | check_ids (list) – The IDs of the Trusted Advisor checks. |
-
describe_trusted_advisor_checks(language)
Returns information about all available Trusted Advisor
checks, including name, ID, category, description, and
metadata. You must specify a language code; English (“en”) and
Japanese (“ja”) are currently supported. The response contains
a TrustedAdvisorCheckDescription for each check.
| Parameters: | language (string) – The ISO 639-1 code for the language in which AWS
provides support. AWS Support currently supports English (“en”) and
Japanese (“ja”). Language parameters must be passed explicitly for
operations that take them. |
-
make_request(action, body)
-
refresh_trusted_advisor_check(check_id)
Requests a refresh of the Trusted Advisor check that has the
specified check ID. Check IDs can be obtained by calling
DescribeTrustedAdvisorChecks.
The response contains a RefreshTrustedAdvisorCheckResult
object, which contains these fields:
- Status. The refresh status of the check: “none”,
“enqueued”, “processing”, “success”, or “abandoned”.
- MillisUntilNextRefreshable. The amount of time, in
milliseconds, until the check is eligible for refresh.
- CheckId. The unique identifier for the check.
| Parameters: | check_id (string) – The unique identifier for the Trusted Advisor check. |
-
resolve_case(case_id=None)
Takes a CaseId and returns the initial state of the case
along with the state of the case after the call to ResolveCase
completed.
| Parameters: | case_id (string) – The AWS Support case ID requested or returned in the
call. The case ID is an alphanumeric string formatted as shown in
this example: case-<PHONE_NUMBER>0-2013-c4c1d2bf33c5cf47 |


A user interface (UI) is what connects users to a product's underlying technology.
A user interface is essentially a conversation between users and products to perform tasks that achieve user's goals.
Explain tasks clearly, and concisely, as you would in person.
Every UI element can be evaluated by what it communicates and how effectively it does that job.
If a UI feels like a natural, professional, and friendly conversation, it is probably a good design.
Users are humans, not robots. Communicate to users on a human level. It's not just what you say, but also how you say it.
Be polite, respectful, and intelligent. UI's communicate through their personality, tone, and attitude.
Mechanically enabling tasks is only the first step in great design, not the last. Great UI design transcends mechanical usability.
UI form follows communication. At the wireframe level, every visual design element should be justified by what it communicates.
People are emotional and react emotionally to a product's visual appearance. Consequently, your product should look the part-it should look like it fulfills it's purpose well.
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