Uses of Package
io.sf.carte.doc.style.css.nsac
Package
Description
User agent classes.
This package provide an implementation of the
Document
Object Model (DOM) Level 3 Core Specification that can be used for XML or
HTML documents, albeit with a few deviations from the specification.
This package and its subpackages provide an implementation of the
CSS Object Model API.
NSAC: a non-standard revision to
W3C's SAC api.
Implementation classes for the CSS Object Model API.
Classes related to CSS parsing.
Implementations of CSS property values.
-
ClassDescriptionNSAC parser flags: the
Parser.Flag.STARHACK
,Parser.Flag.IEVALUES
,Parser.Flag.IEPRIO
andParser.Flag.IEPRIOCHAR
flags are supported. -
ClassDescriptionBased on SAC's
Condition
interface by Philippe Le Hegaret.NSAC parser flags: theParser.Flag.STARHACK
,Parser.Flag.IEVALUES
,Parser.Flag.IEPRIO
andParser.Flag.IEPRIOCHAR
flags are supported.List of selectors. -
ClassDescriptionBased on SAC's
Condition
interface by Philippe Le Hegaret.CSS parse exception.Based on SAC'sLexicalUnit
interface by Philippe Le Hegaret.Based on SAC'sSelector
interface by Philippe Le Hegaret.List of selectors. -
ClassDescriptionAttribute selector flags.Based on SAC's
Condition
interface by Philippe Le Hegaret.A CSS event handler for low-level parsing errors.CSS runtime exception, normally related to parsing.A CSS event handler for low-level parsing.CSS parse exception.An generalized input source.Based on SAC'sLexicalUnit
interface by Philippe Le Hegaret.Locate a place in a document.A page selector like:first
.List of page selectors.NSAC parser flags: theParser.Flag.STARHACK
,Parser.Flag.IEVALUES
,Parser.Flag.IEPRIO
andParser.Flag.IEPRIOCHAR
flags are supported.Interface giving access to namespace URI from the prefix.Allows convenient access to certain parser functionalities.Based on SAC'sSelector
interface by Philippe Le Hegaret.List of selectors.Simple selector, by Philippe Le Hegaret -
ClassDescriptionCombinator selector.Based on SAC's
Condition
interface by Philippe Le Hegaret.CSS parse exception.Based on SAC'sLexicalUnit
interface by Philippe Le Hegaret.List of page selectors.A low-level CSS parser.NSAC parser flags: theParser.Flag.STARHACK
,Parser.Flag.IEVALUES
,Parser.Flag.IEPRIO
andParser.Flag.IEPRIOCHAR
flags are supported.Based on SAC'sSelector
interface by Philippe Le Hegaret.List of selectors. -
ClassDescriptionBased on SAC's
Condition
interface by Philippe Le Hegaret.A CSS event handler for low-level parsing errors.CSS runtime exception, normally related to parsing.A CSS event handler for low-level parsing.CSS parse exception.An generalized input source.Based on SAC'sLexicalUnit
interface by Philippe Le Hegaret.List of page selectors.A low-level CSS parser.NSAC parser flags: theParser.Flag.STARHACK
,Parser.Flag.IEVALUES
,Parser.Flag.IEPRIO
andParser.Flag.IEPRIOCHAR
flags are supported.Interface giving access to namespace URI from the prefix.Allows convenient access to certain parser functionalities.ACondition
for a pseudo-class or pseudo-element.List of selectors. -
ClassDescriptionBased on SAC's
LexicalUnit
interface by Philippe Le Hegaret.A low-level CSS parser.


%load_ext autoreload
%autoreload 2
import numpy as np
import matplotlib
from matplotlib import pyplot as plt
import robot_room as robot
from histogram_filters import plot_distribution, convolve, get_room_observation_likelihood, \
update, run_histogram_filter, get_hist_circular_mean_var, generate_sample, plot_estimations,\
get_walking_noise_perfect_1, get_walking_noise_example_1, plot_interactive_histogram, plot_histogram_entropy_std
import draw_hmm as hmm
from IPython import display
from IPython.display import YouTubeVideo
from scipy.stats import entropy
%matplotlib inline
matplotlib.__version__, np.__version__,
It is an algorithm to recursively estimate a probability distribution over a latent state "s" (e.g. robot position) conditioned on the history of observations "o" (e.g. camera images) and actions a (e.g. steps, velocity, etc) - (Thrun et al., 2005)
Latent state: Not observable random variable (state)
This probability distribution, the posterior over the states, is called belief:
$P(S_i|a_1,.. ,a_n, o_1,...,o_m)$
Key assumptions:
It is a type of Bayes filter that represents the belief as a histogram. It estimates the states of a system
Main characteristics:
Applications:
doors = np.array([4, 11, 26])
N = 33
robot.plot_robot_room(loc = 10, N=N, doors = doors, figsize = (8,8))
Drawing description
Problem assumptions
X is the random variable the robot observes and $P(X=door|S_k)$ is its distribution given that the robot is in position $S_k$
$\mathcal{L}(S_k|X=X_0)$ = $P(X=door|S_k)$ is the likelihood
pulse = np.array([0.2, 0.75, 0.9, 0.75, 0.2])
noise = 0.05
str_indexes_likelihood = ['$P(X|S=%s)$'%int(i+1) for i in range(N)]
likelihood = get_room_observation_likelihood(N = N, doors = doors, pulse = pulse, noise = noise)
plot_distribution(likelihood['door'], title = '$P(X=door|S=k)$ - Likelihood -',
str_indexes= str_indexes_likelihood, rotation = 60)
W = np.zeros(3)
W[0] = 0.15
W[1] = 0.50
W[2] = 0.35
str_indexes_transition = ['$P(S_{n+1}=k|S_n=k)$',
'$P(S_{n+1}=k+1|S_n=k)$',
'$P(S_{n+1}=k+2|S_n=k)$']
plot_distribution(W, title = 'Transition probabilities', str_indexes= str_indexes_transition, rotation = 0)
images_map_perfect = hmm.get_image_map_sensor(likelihood['door'])
hmm.plot_basic_hmm_model(N = N, N_states_visible = 17, circular = True, stay_step_prob = W[0],
one_step_prob = W[1], two_step_prob = W[2], images_map = images_map_perfect)
In the above diagram you can see everything together:
Chose the transition probability
# Original
W1 = np.zeros(3); W1[0] = 0.15; W1[1] = 0.50; W1[2] = 0.35
# Walk with steps of 3 with p=1
W2 = np.zeros(4); W2[3] = 1;
# Walk with steps of 11 with p=1
W3 = np.zeros(12); W3[11] = 1;
# Dont walk
W4 = np.zeros(1); W4[0] = 1;
W_gen = W1
Change the likelihood
pulse1 = np.array([0.2, 0.75, 0.9, 0.75, 0.2])
pulse2 = np.array([0, 0, 0.9, 0, 0])
noise = 0.05
likelihood_gen = get_room_observation_likelihood(N = N, doors = doors, pulse = pulse1, noise = noise)
# Number of steps
steps = 100*N # Change the number of steps and see how it changes
# Given the likelihood, the transition probabilities and the initial_state
measurements, sample_stats, steps_stats, loc = generate_sample(likelihood_gen, W_gen,
initial_state = 10,
steps = steps)
print('Theorical transition probabilities vs simulation:')
print('Theorical:',W)
print('Simulation:',steps_stats)
robot.plot_robot_room(loc = loc[-1], N=N, doors = doors, sample_stats = sample_stats)
Run it with:
Does the robot always finish in the same position? Why?
Observation step
$X$ and $S$ are correlated
$P(X = $ "door" | $S =$ "infront door" $)$ = 0.9 $\quad P(X = $ "wall" | $S =$ "infront door" $)$ = 0.1
$P(X = $ "door" | $S =$ "1 away from door" $)$ = 0.75 $\quad P(X = $ "wall" | $S =$ "1 away from door" $)$ = 0.25
$P(X = $ "door" | $S =$ "2 away from door" $)$ = 0.2 $\quad P(X = $ "wall" | $S =$ "2 away from door" $)$ = 0.8
$P(X = $ "door" | $S =$ "other" $)$ = 0.05 $\quad P(X = $ "wall" | $S =$ "other" $)$ = 0.05
Prediction step
$S_{n+1} = S_{n} + W$ (Sum of random variables)
$P(W=0) = 0.15$
$P(W=1) = 0.50$
$P(W=2) = 0.35$
We are going to do the following steps to estimate the robot location:
prior = np.ones(N)/N
str_indexes_prior = ['$P(S=%s)$'%int(i+1) for i in range(N)]
plot_distribution(prior, title = '$P(S)$ - Prior - Maximum confussion', str_indexes= str_indexes_prior,
rotation = 60)
We have no clue where we are so all the positions are equally likely
The normalized entropy is a good measure of uncertainty for multi-modal distributions
print("normalized entropy:",entropy(prior, base = 2)/np.log2(N))
plot_distribution(likelihood['door'], title = '$P(X=door|S=k)$ - Likelihood -',
str_indexes= str_indexes_likelihood, rotation = 60)
We need the posterior: $P(S=k|X)$
Bayes therorem
$P(S=k|X) = \frac{P(X|S=k)P(S=K)}{P(X)}$
$P(X) = \sum_i{P(X,S_i)} = \sum_i{P(X|S_i)P(S_i)}$
Most of the time it is not necessary to calculate P(X). We can just normalize
$P(S=k|X) = \alpha{P(X|S=k)P(S=k)}$
# We multiply prior by likelihood to get posterior
posterior_unnorm = likelihood['door']*prior
str_indexes_posterior = ['$P(S=%s|X)$'%int(i+1) for i in range(len(prior))]
plot_distribution(posterior_unnorm, title = 'unnormalized $P(S=k|X=door)$ - Posterior -',
str_indexes= str_indexes_posterior, rotation = 60)
sum_over_all = posterior_unnorm.sum()
print('sum over all bins: ',sum_over_all)
posterior = posterior_unnorm/sum_over_all
plot_distribution(posterior, title = 'normalized $P(S=k|X=door)$ - Posterior -',
str_indexes= str_indexes_posterior, rotation = 60)
posterior_unnorm_wall = likelihood['wall']*prior
posterior_norm_wall = posterior_unnorm_wall/posterior_unnorm_wall.sum()
plot_distribution(posterior_norm_wall, title = '$P(X=wall|S=k)$ - Likelihood -',
str_indexes= str_indexes_posterior, rotation = 60)
print("normalized entropy of posterior given door:",entropy(posterior, base = 2)/np.log2(N))
print("normalized entropy of posterior given wall:",entropy(posterior_norm_wall, base = 2)/np.log2(N))
Lets follow the example we observed a door in our first observation:
$S_{n+1} = S_{n} + W$
we have the posterior $P(S_n=k|X_n = door)$ and we need to predict $P(S_{n+1}=k|X_n = door)$
plot_distribution(posterior, title = 'normalized $P(S=k|X=door)$ - Posterior -',
str_indexes= str_indexes_posterior, rotation = 60)
And we have the transition probabilities distribution:
transition = W
plot_distribution(transition, title = 'Transition probabilities', str_indexes= str_indexes_transition, rotation = 0)
The distribution (probability mass function in this case) of the sum of two random variables is calculated as the convolution of the distributions of each variables
So doing the convolution we have:
predicted = convolve(posterior, transition)
plot_distribution(predicted, title = '$P(S_{n+1}=k|X_n = door)$ - Predicted -',
str_indexes= str_indexes_posterior, rotation = 60)
Notice that the peak is now one step ahead!
But the uncertainty had increased
print("normalized entropy of posterior:",entropy(posterior, base = 2)/np.log2(N))
print("normalized entropy of predicted:",entropy(predicted, base = 2)/np.log2(N))
posterior_unnorm_2 = likelihood['door']*predicted
posterior_2 = posterior_unnorm_2/posterior_unnorm_2.sum()
plot_distribution(posterior_2, title = 'normalized $P(S=k|X_n=door, X_{n-1}=door)$ - Posterior -',
str_indexes= str_indexes_posterior, rotation = 60)
print("normalized entropy of posterior_2:",entropy(posterior_2, base = 2)/np.log2(N))
predicted_2 = convolve(posterior_2, transition)
plot_distribution(predicted_2, title = '$P(S_{n+1}=k|X_n=door, X_{n-1}=door)$ - Predicted -',
str_indexes= str_indexes_posterior, rotation = 60)
print("normalized entropy of predicted_2:",entropy(predicted_2, base = 2)/np.log2(N))
posterior_unnorm_3 = likelihood['wall']*predicted_2
posterior_3 = posterior_unnorm_3/posterior_unnorm_3.sum()
plot_distribution(posterior_3, title = 'normalized $P(S=k|X=wall)$ - Posterior -',
str_indexes= str_indexes_posterior, rotation = 60)
print("normalized entropy of posterior_3:",entropy(posterior_3, base = 2)/np.log2(N))
The most probable is 6 because I started in 4 and took two steps. (Same for 11, and 26)
posterior_unnorm_3 = likelihood['door']*predicted_2
posterior_3 = posterior_unnorm_3/posterior_unnorm_3.sum()
plot_distribution(posterior_3, title = 'normalized $P(S=k|X=wall)$ - Posterior -',
str_indexes= str_indexes_posterior, rotation = 60)
print("normalized entropy of posterior_3:",entropy(posterior_3, base = 2)/np.log2(N))
The most probable is 5 because I started in 3 and took two steps (Same for 10 and 25)
def update(p, X, likelihood):
# p: prior probability
# X: Measurement. [can be door or wall in this example]
# likelihood: It is a dict where likelihood[X] is the likelihood given observation X
# posterior not normalized
posterior = likelihood[X]*p
# Normalize it
normalized = posterior/posterior.sum()
return normalized
def prediction(posterior, transition):
# posterior: posterior probability distribution
# transition: transition probability distribution
return convolve(posterior, transition)
def histogram_filter(W, measurements, likelihood, prior = np.ones(N)/N):
# W: transition probability distribution
# measurements: It is a list of observations. The i'th observation Xi = measurements[i]
# likelihood: It is a dict where likelihood[Xi] is the likelihood given observation Xi
# prior: The initial distribution, normaly with normalized entropy of 1 (Maximun confusion)
normalized_entropy = []
mean_array = []
var_array = []
for i in range(len(measurements)):
posterior = update(prior, measurements[i], likelihood)
normalized_entropy.append(entropy(posterior, base = 2)/np.log2(len(prior)))
mean, variance = get_hist_circular_mean_var(posterior)
mean_array.append(mean)
var_array.append(variance)
predicted = prediction(posterior, W)
prior = predicted
return posterior, predicted, normalized_entropy, mean_array, var_array
def plot_histogram_entropy_std_example(measurements, transition, likelihood, prior, n_steps = 1):
# We should use the one in the package, this is for demo purposes
N = len(prior)
posterior, predicted, normalized_entropy, mean_array, var_array = histogram_filter(transition,
measurements[:n_steps],
likelihood,
prior = np.ones(N)/N)
#print(measurements[:n_steps])
f = plt.figure(figsize=(20,10))
plt.subplot(2, 1, 1)
plot_distribution(posterior, title = 'normalized $P(S=k|X)$ - Posterior -', fig = f)
plt.subplot(2, 2, 3)
plt.title("Normalized entropy")
plt.plot(normalized_entropy)
plt.subplot(2, 2, 4)
plt.title("Standard deviation")
plt.plot(np.array(var_array)**(0.5))
plt.show()
print("normalized entropy of last posterior:",normalized_entropy[-1])
short_walk = ['wall', 'wall', 'door', 'door', 'door', 'wall', 'wall', 'wall', 'wall', 'door', 'door', 'door', 'wall']
plot_histogram_entropy_std(short_walk, transition, likelihood, prior, n_steps = len(short_walk), real_positions=range(len(short_walk)))
cicle = ['wall', 'wall', 'door', 'door', 'door', 'wall', 'wall', 'wall', 'wall', 'door', 'door',
'door', 'wall', 'wall', 'wall', 'wall', 'wall', 'wall', 'wall', 'wall', 'wall', 'wall',
'wall', 'wall', 'door', 'door', 'door', 'wall', 'wall', 'wall', 'wall', 'wall', 'wall',
'wall', 'wall', 'door', 'door', 'door', 'wall', 'wall', 'wall', 'wall', 'door', 'door',
'door', 'wall', 'wall', 'wall', 'wall', 'wall', 'wall', 'wall', 'wall', 'wall', 'wall',
'wall', 'wall', 'door', 'door', 'door', 'wall', 'wall', 'wall', 'wall', 'wall', 'wall']
plot_histogram_entropy_std(cicle, transition, likelihood,
prior, n_steps=len(cicle), real_positions=range(len(cicle)))
cicle = ['wall', 'wall', 'door', 'door', 'door', 'wall', 'wall', 'wall', 'wall', 'door', 'door',
'door', 'wall', 'wall', 'wall', 'wall', 'wall', 'wall', 'wall', 'wall', 'wall', 'wall',
'wall', 'wall', 'door', 'door', 'door', 'wall', 'wall', 'wall', 'wall', 'wall', 'wall',
'wall', 'wall', 'door', 'door', 'door', 'wall', 'wall', 'wall', 'wall', 'door', 'door',
'door', 'wall', 'wall', 'wall', 'wall', 'wall', 'wall', 'wall', 'wall', 'wall', 'wall',
'wall', 'wall', 'door', 'door', 'door', 'wall', 'wall', 'wall', 'wall', 'wall', 'wall']
n_of_cicles = 10
n_cicles = []
for i in range(n_of_cicles):
n_cicles = n_cicles + cicle
plot_histogram_entropy_std(n_cicles, transition, likelihood, prior,
n_steps = len(n_cicles), real_positions=range(len(n_cicles)))
What is the remaining error oscillation?
The error while the robot walks. The transition probabilities
Lets get real and use the generative model to get the sample observations
steps = N
print(doors)
measurements, sample_stats, steps_stats, loc = generate_sample(likelihood_gen, transition,
initial_state = 10,
steps = steps)
plot_interactive_histogram(measurements, transition, likelihood, prior, steps, real_locations=loc)
#plot_histogram_entropy_std(measurements, transition, likelihood, prior, n_steps = len(measurements), real_positions=loc)
steps = 2*N
transition_1 = np.array([0,1])
measurements, sample_stats, steps_stats, loc = generate_sample(likelihood_gen, transition_1,
initial_state = 10,
steps = steps)
plot_interactive_histogram(measurements, transition_1, likelihood, prior, steps, real_locations=loc)
Why is the robot last position 9? Remember we are plotting the observation probability
Check the initial state to verify the answer
Two simple questions:
What would the observation error be?
What would the predicted histogram would be?
S. Thrun, W. Burgard, and D. Fox. Probabilistic Robotics. MIT Press, Cambridge, MA, 2005.


top - manual page for top 1.31.1
top [-bmH] [-n COUNT] [-d SECONDS]
BusyBox v1.31.1 (2020-04-30 13:38:01 EDT) multi-call binary.
Provide a view of process activity in real time. Read the status
of all processes from /proc each SECONDS and display a screenful of
them. Keys:
- N/M/P/T: show CPU usage, sort by pid/mem/cpu/time S: show memory R:
reverse sort H: toggle threads, 1: toggle SMP Q,^C: exit
- -b
- Batch mode
- -n N
- Exit after N iterations
- -d SEC
- Delay between updates
- -m
- Same as 's' key
- -H
- Show threads


About Me
Hi there!
My name is Ashley Brown, a software engineer with a knowledge of both front-end and back-end technologies. I primaraly use Rejact.js to create, improve and maintian web application. The objective of this portfolio is to showcase my web development experience through GitHub respoitories.
If I am not coding you will find me at a concert or sporting event. As a graduate
from Clemson University
Explore my portfolio visting the Portfolio Page. Looking forward to hearing from you, fing my contact information here. the information given on my Contact Page .


Education:
Bachelor of Computer Science:
Computer and Internet Security stream 2011-present
Carleton University, Ottawa, Ontario
Current standing: 4th year
Anticipated Graduation date: 2016
Language skills:
- English: fluent, written and spoken.
- French: fluent, written and spoken.
Skills:
- Proficient in Java, C, C++, C#, Javascript and HTML.
- Knowledge of source code control technologies such as GIT.
- Knowledge of various data structures and their implementation: Stacks, Linked-lists (Singly and Doubly linked), Deques, Binary Trees and Black-Red Trees.
- Knowledge of networking technologies and protocols: switches, routers, TCP/IP, UDP, HTTP, etc.
- Knowledge of database design, relational algebra, and related technologies: SQLite, etc.
- Working knowledge of various Operating Systems: Ubuntu, Kali, Windows XP, Windows 7 and their command-line interfaces.
- Knowledge of various algorithms for sorting, path traversal, and so on: Prim’s, Bellman-Ford, Dijskra’s, Matrix chain multiplication, etc.
- Strong user documentation skills resulting in simple guidelines for program usage and training.
- Strong technical documentation skills for creating detailed and relevant project reports.
- Knowledge of security principles (Economy of mechanism, Separation of privilege, etc).
- Knowledge of the technologies and methods (Secure Libraries, Intrusion Detection Systems, SSH, Discretionary Access Control and Mandatory Access Control, etc) to enforce security principles and goals in various contexts.


|
MAX32665 SDK Documentation
0.2
Software Development Kit Overview and API Documentation
|
Force Event for Auto CMD Error Status. More...
Macros | |
| #define | MXC_F_SDHC_FORCE_CMD_NOT_EXCU_POS 0 |
| FORCE_CMD_NOT_EXCU Position. | |
| #define | MXC_F_SDHC_FORCE_CMD_NOT_EXCU ((uint16_t)(0x1UL << MXC_F_SDHC_FORCE_CMD_NOT_EXCU_POS)) |
| FORCE_CMD_NOT_EXCU Mask. | |
| #define | MXC_F_SDHC_FORCE_CMD_TO_POS 1 |
| FORCE_CMD_TO Position. | |
| #define | MXC_F_SDHC_FORCE_CMD_TO ((uint16_t)(0x1UL << MXC_F_SDHC_FORCE_CMD_TO_POS)) |
| FORCE_CMD_TO Mask. | |
| #define | MXC_F_SDHC_FORCE_CMD_CRC_POS 2 |
| FORCE_CMD_CRC Position. | |
| #define | MXC_F_SDHC_FORCE_CMD_CRC ((uint16_t)(0x1UL << MXC_F_SDHC_FORCE_CMD_CRC_POS)) |
| FORCE_CMD_CRC Mask. | |
| #define | MXC_F_SDHC_FORCE_CMD_END_BIT_POS 3 |
| FORCE_CMD_END_BIT Position. | |
| #define | MXC_F_SDHC_FORCE_CMD_END_BIT ((uint16_t)(0x1UL << MXC_F_SDHC_FORCE_CMD_END_BIT_POS)) |
| FORCE_CMD_END_BIT Mask. | |
| #define | MXC_F_SDHC_FORCE_CMD_INDEX_POS 4 |
| FORCE_CMD_INDEX Position. | |
| #define | MXC_F_SDHC_FORCE_CMD_INDEX ((uint16_t)(0x1UL << MXC_F_SDHC_FORCE_CMD_INDEX_POS)) |
| FORCE_CMD_INDEX Mask. | |
| #define | MXC_F_SDHC_FORCE_CMD_NOT_ISSUED_POS 7 |
| FORCE_CMD_NOT_ISSUED Position. | |
| #define | MXC_F_SDHC_FORCE_CMD_NOT_ISSUED ((uint16_t)(0x1UL << MXC_F_SDHC_FORCE_CMD_NOT_ISSUED_POS)) |
| FORCE_CMD_NOT_ISSUED Mask. | |


Khavatari Rosheek:
Young fighter, you have not found the second scroll yet? Then you must strive all the harder!


Amy Halperin Wood
Democrat
Glass artist (self) Trustee, The Marcus Foundation
BA Swarthmore College MBA University of Pennsylvania MSW University of Denver
80206
314 Action Fund, Ortega-at-Large, Erin Bennett, Hillary Victory Fund, Neumann for Congress, Jason Crowe for Congress, Biden Victory Fund, Joe Biden, Barbara Bollier, , Mark Kelly, Jon Ossoff, Raphael Warnock
Crestmoor Neighborhood Association, Congress Park Neighborhood Association
My experience has primarily involved working with underserved populations in Denver and Colorado. At Volunteers of America I advocated for individuals and groups living in subsidized housing, as well as those who were homeless, food insecure or experiencing a wide variety of life crises. I did this for individuals as well as for groups. My work at Jewish Family Service included similar constituencies and clients but was on a larger scale and involved more outreach in the community and involvement with city, state and federal agencies. I was also very active at the schools. my children attended, serving on PTAs, organizing health fairs and educational events.
It has become increasingly clear that significant efforts need to be made to insure that the redistricting and voting in Colorado and across the country must be fair and able to represent the populations served. The current level of gerrymandering and other types of adjustments to districts creates elections that are 'lopsided' and are not best suited to serve the citizens. In order to have a democracy that functions smoothly and represents the people there must be faith and trust in the process. Sadly, we have struggled with this recently. I would like to serve on the commission to help this process become fair, transparent and trusted.
I believe that my varied education and experiences will all contribute to promoting open discussions and cooperative solutions. While I was studying for my MBA, and later when working in the cable and food industries, I was always aware of the social and civic issues involved in business discussions and was able to bring them into the conversation as serious considerations in all decisions. As a social work student and a social worker, the business knowledge and experiences I had, always informed my thinking and plans. This combination was very useful in building consensus around diverging viewpoints. I strive to see other perspectives and am open to hearing all sides of every discussion.
All of my education and work experiences have required strong analytic skills and the ability to proceed rationally and logically through challenges and problems.
Female


Darius Simpson is an African American writer, performing artist, and activist born in Akron,Ohio. He is recognized globally for his award-winning spoken word poetry. He received his Bachelor Degree in Political Science from Eastern Michigan University. He is a community organizer featured in Forbes Magazine for his volunteerism. Darius uses performance poetry to challenge audiences in their awareness of social, political, and economic oppression. Having performed at major conferences such as TEDxDetroit, his work has also been featured in online publications such as Huffingtonpost, Mic, and Worldstar Hip Hop. Darius’ poetry has been promoted by Kerry Washington, as well as Ashton Kutcher. Through poetry Darius hopes to inspire others into their individual creative expression as a tool for healing and social change.
Having garnered the attention of audiences in the most intimate settings ranging up to 3,000,000+ viewers online, you can see more of his work by clicking below.
youtube


Mudd 301! Get it while it's hot!
Mudd 322! Serving delicious food!
Milstein 102! Get it while it's hot! Serving buffet right now!


GIGrvg: Random Variate Generator for the GIG Distribution
Generator and density function for the
Generalized Inverse Gaussian (GIG) distribution.
| Version: |
0.5 |
| Published: |
2017-06-10 |
| Author: |
Josef Leydold and Wolfgang Hormann |
| Maintainer: |
Josef Leydold <josef.leydold at wu.ac.at> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
yes |
| Materials: |
NEWS |
| In views: |
Distributions |
| CRAN checks: |
GIGrvg results |
Downloads:
Reverse dependencies:
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You probably have toxins overloaded in your organism if your body looks unwell, tired, your skin is to dry or you have dark skin under the eyes.  Your body has more energy and strength as you detox.
Today we will present you a weekend detox plan that will keep your body in perfect condition. It will totally cleanse your vital organs (intestines, lungs, kidneys, liver and lymph too).  This plan should be practiced two times a year for 10 days in a row. The results will amaze you!
Consider workouts as gym, run, walk, swim and use nettle, birch and dandelion tea for best results!
WEEKEND DETOX PLAN
Drink 250 ml warm water after waking up in the morning.
SATURDAY
- Breakfast: 200 ml almond milk or low fat yogurt, ½ cup of fresh blueberries, 250 ml water or green water, a cup of oat flakes with a spoon of linseed and warm water.
- Lunch: 1 melon slice, small banana, Swiss chard with potatoes and olive oil, grilled hake 250 g, 2 cups of salad (green veggies, tomato, arugula), 250 ml water.
- Snack: ¼ cup pumpkin seed, 180 ml plain yogurt, 250 ml water
- Dinner: ½ cup steamed veggies (broccoli or spinach), 150 g grilled tuna, pastry of integral flour, 2 cups salad + lemon juice + olive oil, 250 ml anise tea or water.
SUNDAY
Consume a cup of warm water
- Breakfast: pear, 200 ml of diet yogurt or almond milk, a cup of oat flakes with a tsp of linseed
- Lunch: 150 g pickles, 200 g chicken breast, veggie soup (celery, onion, carrot, beans, potato, pepper).
- Dinner: nettle tea, integral pastry, beet and carrot salad + lemon juice over it.
Juicing can add some variety to your healthy lifestyle while helping you get the necessary nutrients from fruits and vegetables. You can make juice at home with a juicer, try a trendy juice bar, or purchase freshly squeezed juices at the supermarket. Get all the facts about juicing and learn if it's right for you.
Credits to : doctoroz


Some flow charts can represent graphs that are very complex with many interconnected nodes. To help better comprehend these graphs it can help to focus on just part of the flow at a time. With the Butterfly flow graph you can click on a node to focus on the flow that goes through that node. Because it starts with a single node in the center, and fans out left and right with multiple source and target nodes, it is called a "butterfly". Click in the chart outside of any node to revert to viewing the entire graph.
This example visualizes the aggregated execution flow of a program. It is not a timeline. The nodes represent functions and the links represent function calls. The size of the link is weighted based on the total time of the function call. A node will be larger then the links leaving it when the function has self time. This is similar to a caller/callee type visualization, except it can represent an arbitrary depth from the focus node, not just the immediate callers and callees.
Note: Butterfly graphs are still under initial development. e.g. Gradients don't work well yet with IE.


C#/Unity Class Based State Machine
State Machines are some of the first coding patterns you may learn about in game development. They are a way of determining how a certain peice of code may execute based on the "State" that its in. This article will go over some of the ways to implement a Class Based state machine, which is a an easy way to seperate your different states into different classes and make a complex state machine that can be expanded upon easily. Before showing how to make a class based state machine we will go over the other main form of implementing a state machine, the conditional branch/switch state machine, and point out some of the shortcomings of that design pattern and how the class based approach fixes them.
Conditional branch/switch state machine
The most common example of a state machine is storing a state in a state enum variable and then every frame having a switch statement or a chain of if else statements that determine what code should be executed based on the saved state. Here is an example of some basic C# code this pattern to do that. Its for a Player Controller class that is responsible for moving the player and playing animations based on how the player is moving.
public class EnumBasedPlayerController : MonoBehaviour {
[System.Serializable]
public enum PlayerStateEnum { WALKING, IDLE, SLIDING, INAIR, DEAD }
public PlayerStateEnum currentState;
private void Update() {
switch (currentState) {
case PlayerStateEnum.WALKING:
WalkState();
break;
case PlayerStateEnum.IDLE:
IdleState();
break;
case PlayerStateEnum.SLIDING:
SlideState();
break;
case PlayerStateEnum.INAIR:
InAirState();
break;
case PlayerStateEnum.DEAD:
DeadState();
break;
}
}
}
How this code basically works is that there is an enum defined at the top which has different values that correspond to the "state".
When the player is idling, the currentState variable should be set to PlayerStateEnum.IDLE.
Then in Update the switch branch will call the function IdleState() which will run whatever logic you want for the Idle state.
Then in order to switch states all you have to do is change the currentState variable and the state will change and next update a different function will be called.
This System for switching states is very simple but works.
It is totally fine to use for some small simple logic that doesn't need to be repeated, but if you want
One
public class State<T> {
public virtual void Enter(StateMachine<T> obj) { }
public virtual void Exit(StateMachine<T> obj) { }
public virtual void Update(StateMachine<T> obj) { }
}
public class StateMachine<T> {
public State <T> currentState;
public T target;
public StateMachine(State<T> startState, T obj) {
currentState = startState;
target = obj;
currentState.Enter(this);
}
public void ChangeState(State<T> state) {
currentState.Exit(this);
currentState = state;
state.Enter(this);
}
public void Update() {
currentState.Update(this);
}
public void FixedUpdate() {
currentState.FixedUpdate(this);
}
}


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Condition: New
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Get All Todos
Json will go here
id:
get todos by id
category:
get todos by category
status:
get todos by status
body:
get todos by body
limit:
get todos by limit
orderBy:
get todos by orderBy
Choose multiple options
id:
owner:
status:
category:
body:
limit:
orderBy:


{% extends 'layout.html' %} {% block body %}
For young-adult shoppers lacking know-how concerning effective shopping and home-inventory methods to reduce food waste, our SoberFood grocery traceability game provides a fun and interactive platform to make informed choices about how to shop, meal plan, cook, and consume food.
Food waste that occurs on a local level has negative impact on the socioeconomic environment in which we live. In a city of over 122,000 people, if 1 in 10 people are food insecure in Canada (Food Banks Canada, 2013), this amounts to nearly 12,000 persons in our Guelph community. At the same time, it is estimated the average Canadian throws away about $28 worth of the groceries they purchase each week (Gillis, 2013). Clearly, there exists a disparity in food availability and utilization between those engaging in food purchase, & those who are less fortunate & hence living as food insecure.
As a solution to the challenge detailed for the 2014 Food Waste Hack-A-Thon of combatting food waste on the University of Guelph campus, our student team proposes the creation of game-driven, web-based platform entitled ‘SoberFood’ to educate the student body in an interactive and web-based fashion. Our proposal can easily be extended horizontally across the food value chain, as the core elements of inventory tracing, consumption data and waste monitoring are also applicable to larger institutions. However, by beginning at the level of the consumer, we are addressing the more immediate issue on our campus and Canadian society at large, considering 51% of food waste in Canada occurs in the home (Statistics Canada, 2010).


math::exact - Exact Real Arithmetic
The exactexpr command in the math::exact package allows for exact computations over the computable real numbers. These are not arbitrary-precision calculations; rather they are exact, with numbers represented by algorithms that produce successive approximations. At the end of a calculation, the caller can request a given precision for the end result, and intermediate results are computed to whatever precision is necessary to satisfy the request.
The following procedure is the primary entry into the math::exact package.
Accepts a mathematical expression in Tcl syntax, and returns an object that represents the program to calculate successive approximations to the expression's value. The result will be referred to as an exact real number.
Increases the reference count of a given exact real number.
Decreases the reference count of a given exact real number, and destroys the number if the reference count is zero.
Formats the given number for printing, with the specified precision. (See below for how precision is interpreted). Numbers that are known to be rational are formatted as fractions.
Formats the given number for printing, with the specified precision. (See below for how precision is interpreted). All numbers are formatted in floating-point E format.
Expression to evaluate. The syntax for expressions is the same as it is in Tcl, but the set of operations is smaller. See Expressions below for details.
The object returned by an earlier invocation of math::exact::exactexpr
The requested 'precision' of the result. The precision is (approximately) the absolute value of the binary exponent plus the number of bits of the binary significand. For instance, to return results to IEEE-754 double precision, 56 bits plus the exponent are required. Numbers between 1/2 and 2 will require a precision of 57; numbers between 1/4 and 1/2 or between 2 and 4 will require 58; numbers between 1/8 and 1/4 or between 4 and 8 will require 59; and so on.
The math::exact::exactexpr command accepts expressions in a subset of Tcl's syntax. The following components may be used in an expression.
Decimal integers.
Variable references with the dollar sign ($). The value of the variable must be the result of another call to math::exact::exactexpr. The reference count of the value will be increased by one for each position at which it appears in the expression.
The exponentiation operator (**).
Unary plus (+) and minus (-) operators.
Multiplication (*) and division (/) operators.
Parentheses used for grouping.
Functions. See Functions below for the functions that are available.
The following functions are available for use within exact real expressions.
The inverse cosine of x. The result is expressed in radians. The absolute value of x must be less than 1.
The inverse hyperbolic cosine of x. x must be greater than 1.
The inverse sine of x. The result is expressed in radians. The absolute value of x must be less than 1.
The inverse hyperbolic sine of x.
The inverse tangent of x. The result is expressed in radians.
The inverse hyperbolic tangent of x. The absolute value of x must be less than 1.
The cosine of x. x is expressed in radians.
The hyperbolic cosine of x.
The base of the natural logarithms = 2.71828...
The exponential function of x.
The natural logarithm of x. x must be positive.
The value of pi = 3.15159...
The sine of x. x is expressed in radians.
The hyperbolic sine of x.
The square root of x. x must be positive.
The tangent of x. x is expressed in radians.
The hyperbolic tangent of x.
The math::exact::exactexpr command provides a system that performs exact arithmetic over computable real numbers, representing the numbers as algorithms for successive approximation. An example, which implements the high-school quadratic formula, is shown below.
namespace import math::exact::exactexpr proc exactquad {a b c} { set d [[exactexpr {sqrt($b*$b - 4*$a*$c)}] ref] set r0 [[exactexpr {(-$b - $d) / (2 * $a)}] ref] set r1 [[exactexpr {(-$b + $d) / (2 * $a)}] ref] $d unref return [list $r0 $r1] } set a [[exactexpr 1] ref] set b [[exactexpr 200] ref] set c [[exactexpr {(-3/2) * 10**-12}] ref] lassign [exactquad $a $b $c] r0 r1 $a unref; $b unref; $c unref puts [list [$r0 asFloat 70] [$r1 asFloat 110]] $r0 unref; $r1 unref
The program prints the result:
-2.000000000000000075e2 7.499999999999999719e-15
Note that if IEEE-754 floating point had been used, a catastrophic roundoff error would yield a smaller root that is a factor of two too high:
-200.0 1.4210854715202004e-14
The invocations of exactexpr should be fairly self-explanatory. The other commands of note are ref and unref. It is necessary for the caller to keep track of references to exact expressions - to call ref every time an exact expression is stored in a variable and unref every time the variable goes out of scope or is overwritten. The asFloat method emits decimal digits as long as the requested precision supports them. It terminates when the requested precision yields an uncertainty of more than one unit in the least significant digit.
Mathematics
Copyright © 2015 Kevin B. Kenny<EMAIL_ADDRESS>Redistribution permitted under the terms of the Open Publication License <http://www.opencontent.org/openpub/>


Class Driver
This is the model class for table "user".
- yii\db\ActiveRecord
- app\models\Driver
Direct known subclasses
app\models\DriverSearch
public static
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public
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public
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public
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public
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public
integer
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$id
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public
integer
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$role_id
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public
integer
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$status
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public
string
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$email
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public
string
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$new_email
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public
string
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$username
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public
string
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$password
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public
string
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$auth_key
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public
string
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$api_key
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public
string
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$login_ip
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public
string
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$login_time
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public
string
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$create_ip
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public
string
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$create_time
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public
string
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$update_time
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public
string
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$ban_time
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public
string
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$ban_reason
|


Programming for Economists, Fall 2016
This course is meant to give budding Phd students in economics a foundation in computer programming. The course is taught mainly in R, but also covers Python. That being said, the goal is not to teach a language, but an approach to solving problems using a computer. To that end, the course will introduce topics ranging from basic algorithm design, to numerical convex optimization, to building datasets. All of this will be taught in an examples based setting, studying such problems as The Gambler's Ruin or Least Squares. By the end of the course students should feel comfortable writing programs in R and Python, as well as understanding how programs are structured in order to better incorporate new tools into their arsenal. Note: All lectures available through the Github repository.
Course Information
Lectures


It is intended as an abstract class to be extended by target specific drivers.
For API documentation please review the corresponding Interfaces.


#include <stdlib.h>
#include <stdint.h>
#include <yyast/types.h>
#include <yyast/config.h>
Go to the source code of this file.
Data Structures | |
| union | bswap128_t |
Defines | |
| #define | _GNU_SOURCE |
Functions | |
| size_t | ya_string_escape (uint8_t *string, size_t string_size, int raw) |
| Escape characters in a string. | |
| char * | ya_new_extension (char *filename, char *new_extension) |
| Strip extension from filename and replace with new extension. |
| char* ya_new_extension | ( | char * | filename, | |
| char * | new_extension | |||
| ) |
Strip extension from filename and replace with new extension.
| filename | The original filename. | |
| new_extension | The new extension to append. |
Definition at line 142 of file utils.c.
Referenced by ya_parse_options().
| size_t ya_string_escape | ( | uint8_t * | string, | |
| size_t | string_size, | |||
| int | raw | |||
| ) |
Escape characters in a string.
The original string is modified by this function.
| string | The UTF-8 string with escape characters. | |
| string_size | The number of bytes in the UTF-8 string. | |
| raw | When 0 standard escape sequence is decoded. When 1 only the double quote escape \" is decoded. When 2 only the double quote slash \/ is decoded. |
Definition at line 37 of file utils.c.
References ya_error().


apply function f to each entry of M, return new matrix.
Apply function f to each entry of M, return new matrix.
Beta(a,b)=gamma(a)gamma(b)/gamma(a+b).
Entropy of the Beta distribution Beta(a,b) on [0,1].
Entropy computed from adapted histogram with nBins bins (approximately).
Entropy computed from adapted histogram with nBins bins (approximately). Much better (and slower) than entropyEstimatorEmpiricalFast on clustered data and faster, but not as good as entropyEstimatorVasicek.
sample of random variable.
number of bins in the histogram used for estimation.
Entropy computed from histogram with 1+sqrt(sample size) bins of equal width.
Entropy computed from histogram with 1+sqrt(sample size) bins of equal width. This is very fast but may be very inaccurate on strongly clustered data (spiky densities), see MathTests.testEntropySpikyDist.
sample of random variable.
Vasicek entropy estimator for one dimensional random variable, see docs/RADICAL_ICA.
Vasicek entropy estimator for one dimensional random variable, see docs/RADICAL_ICA.pdf, p3, eq(12)). This the slowest, most accurate estimator.
spacing of Vasicek entropy estimator, see docs/RADICAL_ICA.pdf, p3, eq(12).
Convenient type modification of entropyEstimateEmpiricalFast.
Convenient type modification of entropyEstimateEmpiricalFast.
Convenient type modification of entropyEstimateVasicek.
Convenient type modification of entropyEstimateVasicek. The slowest most accurate estimator on clustered data.
Entropy of the Exponential distribution \[E(\lambda)\] (mean is \[1/\lambda\]).
Entropy of the Gamma distribution Gamma(a,b) on [0,+oo).
Entropy of the Gaussian distribution N(mu,sigma).
Entropy of the Gaussian distribution N(mu,sigma). Note that parametrization is _not_ N(mu,sigma*sigma) as usual.
Entropy of the uniform distribution on [0,a].
The fastest way to get sample minimum and maximum (3n/2 comparisons).
The fastest way to get sample minimum and maximum (3n/2 comparisons).
data sample, each column is one realization of the random vector.
pair (min(sample),max(sample)).
Check if U'U yields the identity matrix I.
Check if U'U yields the identity matrix I.
max(|U'U-I|) < tolerance.
value y=f(x) from linear interpolation of values (x1,y1=f(x1)), (x2,y2=f(x2))
Mean of the Beta distribution Beta(a,b) on [0,1].
Mean of the Exponential distribution \[E(\lambda)\] (mean is \[1/\lambda\]).
Mean of the Gamma distribution Gamma(a,b) on [0,+oo).
Mean of the uniform distribution on [0,a].
Sum x(0)+x(1)+.
Sum x(0)+x(1)+...+x(upToIdx)
Variance of the Beta distribution Beta(a,b) on [0,1].
Variance of the Exponential distribution \[E(\lambda)\] (mean is \[1/\lambda\]).
Variance of the Gamma distribution Gamma(a,b) on [0,+oo).
Variance of the uniform distribution on [0,a].
Created by MeyerM on 03.12.2014.


When you work with us, you are part of a team of committed
collaborators. All aspects of our software development process are
integrated, interactive
and agile.
Our approach unifies design, development and product management to create exceptional products.
We start each project by understanding your business goals, user's needs and the product requirements
Then we help translate them into effective and elegant solutions.
Before we sign a contract or write a line of code our team will spend the necessary time needed to understand your product vision
The outcome of this scoping is a proposal or high-level statement of work.
based on your requirements, we can provide a complete offering or just the pieces you need.
Our design practice offers a full range of services including brand strategy, interaction and visual design and user experience testing.
Throughout your project, our designers create and implement visual design and workflows, solicit user feedback and work with you to make sure what gets built is what is needed.
All engineers are fluent in the latest enterprise, mobile and web development technologies.
They collaborate with your team to write, and improve code on a daily basis, using proven practices such as test-driven development and pair programming.
Planning and development is iterative. Because we are constantly coding and testing, the products we build are always ready to go live.
This iterative process allows for changes as business requirements evolve.


| | |
- Analyzer
class Analyzer |
| |
This is the base class for analyzing an spark execution through its logs. The
user can create add policies and redefine some criteria employed here.
Specifically the user are encouraged to override the following methods:
correlation(self, values1, values2): returns a correlation metric between two
sets of values (0 <= corr <= 1)
and
highcorr(self, corr): returns true if 'corr' must be considered a high
correlation, false otherwise
skewness(self, values): returns a metric that represents the skewness of a
set of values.
and
highskewness(self,skewness): returns true if 'skewness' must be considered a
high skewness, false otherwise
get_opt_funcs(self): return new optimization policies defined by the user,
i.e, a list of functions with the following signature:
my_opt_policy(rdd, stages, analyzer)
:param rdd: represents the adaptive point
:param stages: the stages that begin at this adaptive point
:param analyzer: this object for access to functions like correlation
and skewness |
| |
Methods defined here:
- __init__(self, filename)
- correlation(self, values1, values2)
- Our default correlation considers Pearson correlation
- get_opt_funcs(self)
- By default this returns an empty list but users are welcome to override
and include their own policies in that list
- get_opt_funcs_default(self)
- highcorr(self, corr)
- highskewness(self, skewness)
- opt_funcs(self)
- run(self)
- Starts the analyzer, parsing the logfile and applying the defined
policies.
Returns a dict with the list of actions (values) for each adaptive point
found in the code (keys).
- skewness(self, values)
- Our default measure for skewness considers the ratio between the max value and the
mean. Therefore, skewness close to 1.0 represent datasets with low skewness
| |


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Men Bench Press 2014 - Results
Developers competed strength at the Telerik's Bench Press Tournament 2014
Results from a close match between the four final competitors:
| First name | Last name | Score |
|---|---|---|
| Doncho | Minkov | 115 kg |
| Svetlin | Nakov | 112 kg |
| Georgi | Georgiev | 130 kg |
| Nikolay | Kostov | 105 kg |
The winner of the competition is: Georgi Georgiev with personal result of 130 kg bench press. Congratulations!


LIAR LIAR A film review by Edwin Jahiel Copyright 1997 Edwin Jahiel
LIAR LIAR ** Directed by Tom Shadyac.Produced by Brian Grazer.Written by Paul Guay & Stephen Mazur.Photography,Russell Boyd.Production design,Linda DeScenna.Editing, Don Zimmerman.Music,John Debney.Cast:Jim Carrey(Fletcher Reede),Maura Tierney(Audrey Reede),Justin Cooper(Max Reede),Cary Elwes(Jerry),Anne Haney(Greta),Jennifer Tilley(Samantha Cole),Amanda Donohoe(Miranda),Jason Bernard(Judge Marshall Sevens),Swoosie Kurtz(Dana Appleton), et al. A Universal release. 87 min. PG-13.
A little Jim Carrey goes a long way. A lot of Jim Carrey goes a little way. Even just 87 minutes of him. Still, "Liar Liar" has a watcher-friendly, funny premise. I suspect that it is a retread of "Nothing but the Truth," a 1941 Bob Hope vehicle in which Hope, a stockbroker, bets that he can tell just the truth for 24 hours. That was an amusing flick, a remake of a 1920 then a 1929 movie,
Carrey plays Fletch, a trial lawyer without any ethical principles. Lying has become second nature to him and has extended into his personal life too. Somehow this also produces a non-stop joker and jokester in Fletch, whether in public or private life.
 The device of a parallel plot that involves Fletch's son Max, sweet ex-wife Audrey (Maura Tierney) and her current beau Jerry, is soupy padding. It comes in handy however as Fletch who has promised to be at Max's fifth birthday party, again breaks his word, inventing excuses. When Max makes a wish that his dad tell just the truth for one day, and magically the wish comes true, this sets everything in motion.
To climb the legal ladder and become a partner in his law firm, Fletch tells one and all what they want to hear. He has just taken the case of buxom Samantha's divorce settlement, a serial adulteress who wants half of her millionaire husband's fortune, even though she's not entitled to so much according to her prenuptial contract. Jennifer Tilley plays her like an updated Gloria Grahame, vacuous and with her cleavage seeming to increase by the hour.
Telling the truth may shame the devil but not in this case. It's a mega-case of Liar Liar Pants on Fire. Since the mess it makes of Fletch's life is supernatural, there is no active lesson for the man, no opportunity for examining one's conscience. The plot attempts a Band-Aid treatment to bring this about, a new Fletch --but it is unconvincing.
When the big change hits he had just spent a night with his colleague, the gorgeous Miranda (Amanda Donohoe). "How was it?" she inquires the next morning. "I've had better " he replies, sending Miranda into a paroxysm. Later he explains his reasons to Audrey. He didn't really want Miranda "...but she's a partner and I thought I'd help myself by making her squeal." ( Draw your own conclusions about the PG-13 rating).
That a happy ending will reunite Fletch, his ex and his boy is a foregone conclusion.  The film's interest, such at it is, is to watch and hear how the lawyer will handle his temporary total inability to lie.
This is accomplished through Carrey's sounding and behaving abnormally, but looking normal in a would-be chic designer suit that's too wide and too padded. Carrey goes through manic displays of behavior, contortions and twists of his elastic frame, twists and grimaces of his rubber face, shouts, groans and the whole lexicon of low, lower and lowest physical humor. He even gives a new dimension to "bathroom humor" when, at the trial, unable to lie, he takes refuge in the men's room where he beats himself up.
In many ways, Carrey's is an anachronistic performance. Here Jim Carrey is blatantly the direct descendant of Jerry Lewis and Red Skelton, yet oddly, while Skelton, Lewis and such are now passe, Carrey is fashionable, at least among viewers who bask in the obvious. This is not to say that there are no funny bits about. But whatever inventiveness there is becomes tedious, monotonous and repetitious.
If only the film had not been so hysterically and totally Carrey-centered; if Carrey had been on Prozac to lessen his manic hyperkineticism; if he had modeled himself partly on the great comedians' (viz.Bob Hope) delicate balance between the normal and the outrageous; the movie might have been a lot more human and a lot less jerky-mechanical.
One reason for my going to this film was to see the talented Swoosie Kurtz in the small part the lawyer for Tilley's husband. I have been waiting forever for her to marry Patrick Swayze and become Swoosie Swayze. One positive result of watching Carrey was to have the importance of big, shiny, obvious teeth brought home again. So I called my dentist for a long overdue cleaning appointment. Really.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


VEGA
Home
Run
Battery
CAN Message
Debug
Maximum Temperature
Loading
Minimum Temperature
Loading
Maximum Voltage
Loading
Minimum Voltage
Loading
Max Currnt
Loading
×
Success!
Data Recieved.
Battery 1
Battery 2
Battery 3
Battery 4
Battery 5
Battery 6
Battery 7
Battery 8
Battery 9
Battery 10
Battery 11
Battery 12
Max Up
Max Down
Min Up
Min Down
IGBT 1
IGBT 2
IGBT 3
Motor Temperature
Heat Sink Temperature
VS
IS
BUS Currnt
BUS V1
BUS V2
Motor Power
Trip
0
0
0
0
0
0
0
0
0
0
0
0
IGBT 1
IGBT 2
IGBT 3
Motor Temperature
Heat Sink Temperature
VS
IS
BUS Currnt
BUS V1
BUS V2
Motor Power
Trip
0
0
0
0
0
0
0
0
0
0
0
0
Error
Messege
Maximum Temp
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Minimum Vol
Loading
CAN
Loading
BATTERY
Loading
FLIGHT
Loading
Data Received
CAN
Loading
BATTERY
Loading
FLIGHT
Loading


Macros | |
| #define | QSPI_CLKSWITCH_MASK (0xF0000U) |
| Mask value to get input clock select value 0 - 128 MHz input clock 1 - 192 MHz input clock 2 - 76.8 MHz input clock. | |
| #define | QSPI_CLKSWITCH_SHIFT (16U) |
| Shift value to get input clock select value. | |
| #define | QSPI_CLKDIVIDER_MASK (0x0FFFFU) |
| Mask value to get input clock divider value to be set in QSPI IP internal divider. | |
| #define | QSPI_CLKDIVIDER_SHIFT (0U) |
| Shift value to get input clock divider value. | |
Typedefs | |
| typedef enum qspiIntrMask | qspiIntrMask_t |
| This enumerates the flags for word or frame interrupt for QSPI module. | |
| typedef enum qspiClkMode | qspiClkMode_t |
| Enumerates the four possible clock modes for QSPI. Each mode has different values of clock phase(CKPH) and clock polarity(CKP) | |
| typedef enum qspiChipSelect | qspiChipSelect_t |
| Enumerates the different chip selects available to QSPI. QSPI module have four chip selects to connect to four external devices. | |
| typedef enum qspiCsPol | qspiCsPol_t |
| typedef enum qspiDataDelay | qspiDataDelay_t |
| Enumerates the value of Data delay value for each chip select. Data is output on the same cycle as CS_N goes active, or 1, 2 or 3 DCLK cycles after the CS_N goes active depending on the data delay provided. | |
| typedef enum qspiMemMapNumAddrBytes | qspiMemMapNumAddrBytes_t |
| Enumerates the number of Address bytes to be sent before transfer in memory mapped mode for each chip select. | |
| typedef enum qspiMemMapPortSel | qspiMemMapPortSel_t |
| This enumerates the values for switch to be set in the QSPI switch register for selection between config port and memory mapped port. If 0 (default) config port has is selected to control config of core SPI module module. If 1, Memory Mapped Protocol Translator is selected to control config port of core SPI module. | |
| typedef enum qspiMemMapReadType | qspiMemMapReadType_t |
| This enum Enumerates the different read types for each chip select for transfer in memory mapped mode. | |
| typedef enum qspiCfgModeTxCmd | qspiCfgModeTxCmd_t |
| Enumerates the various transfer commands to be set in the command register for transfer using configuration registers. | |
Enumerations | |
| enum | qspi_DeviceType_e { DEVICE_TYPE_QSPI4 = 0x01U, DEVICE_TYPE_QSPI1 = 0x02U, DEVICE_TYPE_MICRON_QSPI4 = 0x11U, DEVICE_TYPE_MICRON_QSPI1 = 0x12U, DEVICE_TYPE_MICRON_1GBIT_QSPI4 = 0x13U, DEVICE_TYPE_MICRON_1GBIT_QSPI1 = 0x14U, DEVICE_TYPE_WINBOND_QSPI4 = 0x21U, DEVICE_TYPE_WINBOND_QSPI1 = 0x22U, DEVICE_TYPE_ISSI_QSPI4 = 0x31U, DEVICE_TYPE_ISSI_QSPI1 = 0x32U, DEVICE_TYPE_SPANSION_QSPI4 = 0x41U, DEVICE_TYPE_SPANSION_QSPI1 = 0x42U, DEVICE_TYPE_CUSTOM = 0xF0U } |
| Enumerates the values used to represent QSPI device type. More... | |
| enum | qspi_ClockFreq_e { QSPI_SCLK_FREQ_64MHz = 0x00001U, QSPI_SCLK_FREQ_32MHz = 0x00003U, QSPI_SCLK_FREQ_16MHz = 0x00007U, QSPI_SCLK_FREQ_96MHz = 0x10001U, QSPI_SCLK_FREQ_48MHz = 0x10003U, QSPI_SCLK_FREQ_24MHz = 0x10007U, QSPI_SCLK_FREQ_12MHz = 0x1000FU, QSPI_SCLK_FREQ_76_8MHz = 0x20000U } |
| Enumerates the values used to represent QSPI flash clock frequency. More... | |
| enum | qspi_ChipSelect_e { QSPI_MMR = 0, QSPI_CS0 = 1, QSPI_CS1 = 2, QSPI_CS2 = 3, QSPI_CS3 = 4 } |
| Enumerates the values used to represent Chip select value. More... | |
| enum | qspi_ReadCommand_e { QSPI_CMD_READ_24 = 0x03U, QSPI_CMD_READ = 0x13U, QSPI_CMD_RDSR = 0x05U, QSPI_CMD_RDSR2 = 0x07U, QSPI_CMD_RDCR = 0x35U, QSPI_CMD_WREN = 0x06U, QSPI_CMD_WRREG = 0x01U, QSPI_CMD_WRITE_24 = 0x02U, QSPI_CMD_WRITE = 0x12U, QSPI_CMD_FAST_READ_24 = 0x0BU, QSPI_CMD_FAST_READ = 0x0CU, QSPI_CMD_FAST_DREAD_24 = 0x3BU, QSPI_CMD_FAST_DREAD = 0x3CU, QSPI_CMD_FAST_QREAD_24 = 0x6BU, QSPI_CMD_FAST_QREAD = 0x6CU, QSPI_CMD_MFGID = 0x90U, QSPI_CMD_BLKERASE_24 = 0xD8U, QSPI_CMD_BLKERASE = 0xDCU, QSPI_CMD_PAGEERASE = 0x21U, QSPI_CMD_PAGEERASE_24 = 0x20U, QSPI_CMD_FULLERASE = 0x60U, QSPI_CMD_SPANSION_RESET = 0xF0U, QSPI_CMD_MICRON_READ_24 = 0x03U, QSPI_CMD_MICRON_RDSR = 0x05U, QSPI_CMD_MICRON_QREAD_24 = 0x6BU, QSPI_CMD_MICRON_WRITE_24 = 0x02U, QSPI_CMD_MICRON_MFGID = 0x9EU, QSPI_CMD_MICRON_WREN = 0x06U, QSPI_CMD_MICRON_BLKERASE_24 = 0xD8U, QSPI_CMD_MICRON_FULLERASE = 0xC7U, QSPI_CMD_MICRON_RDNVCR = 0xB5U, QSPI_CMD_MICRON_WRNVCR = 0xB1U, QSPI_CMD_MICRON_RDEVCR = 0x65U, QSPI_CMD_MICRON_WREVCR = 0x61U, QSPI_CMD_MICRON_1GBIT_FULLERASE = 0xC4U, QSPI_CMD_WINBOND_RDSR2 = 0x35U, QSPI_CMD_WINBOND_WRSR2 = 0x31U, QSPI_CMD_RESET_ENABLE = 0x66U, QSPI_CMD_RESET_DEVICE = 0x99U, QSPI_CMD_JDEC_DEVICE_ID = 0x9FU } |
| Enumerates the values used to represent QSPI commands. More... | |
| enum | qspiIntrMask { QSPI_INTR_MASK_MODE_M_FAIL = CSL_QSPI_IRQ_STATUS_REG_MODE_M_FAIL_FLD_MASK, QSPI_INTR_MASK_UNDERFLOW_DET = CSL_QSPI_IRQ_STATUS_REG_UNDERFLOW_DET_FLD_MASK, QSPI_INTR_MASK_IND_OP_DONE = CSL_QSPI_IRQ_STATUS_REG_INDIRECT_OP_DONE_FLD_MASK, QSPI_INTR_MASK_IND_RD_REJECT = CSL_QSPI_IRQ_STATUS_REG_INDIRECT_READ_REJECT_FLD_MASK, QSPI_INTR_MASK_PROT_WR_ATTEMPT = CSL_QSPI_IRQ_STATUS_REG_PROT_WR_ATTEMPT_FLD_MASK, QSPI_INTR_MASK_ILLEGAL_ACCESS_DET = CSL_QSPI_IRQ_STATUS_REG_ILLEGAL_ACCESS_DET_FLD_MASK, QSPI_INTR_MASK_IND_XFER_LVL_BREACH = CSL_QSPI_IRQ_STATUS_REG_INDIRECT_XFER_LEVEL_BREACH_FLD_MASK, QSPI_INTR_MASK_RECV_OVERFLOW_DET = CSL_QSPI_IRQ_STATUS_REG_RECV_OVERFLOW_FLD_MASK, QSPI_INTR_MASK_TX_FIFO_NOT_FULL = CSL_QSPI_IRQ_STATUS_REG_TX_FIFO_NOT_FULL_FLD_MASK, QSPI_INTR_MASK_TX_FIFO_FULL = CSL_QSPI_IRQ_STATUS_REG_TX_FIFO_FULL_FLD_MASK, QSPI_INTR_MASK_RX_FIFO_NOT_EMPTY = CSL_QSPI_IRQ_STATUS_REG_RX_FIFO_NOT_EMPTY_FLD_MASK, QSPI_INTR_MASK_RX_FIFO_FULL = CSL_QSPI_IRQ_STATUS_REG_RX_FIFO_FULL_FLD_MASK, QSPI_INTR_MASK_IND_RD_SRAM_FULL = CSL_QSPI_IRQ_STATUS_REG_INDRD_SRAM_FULL_FLD_MASK, QSPI_INTR_MASK_POLL_EXP_INT = CSL_QSPI_IRQ_STATUS_REG_POLL_EXP_INT_FLD_MASK, QSPI_INTR_MASK_IRQ_STAT_RESV = CSL_QSPI_IRQ_STATUS_REG_IRQ_STAT_RESV_FLD_MASK, QSPI_INTR_MASK_FRAME = QSPI_INTR_ENABLE_SET_REG_FIRQ_ENA_SET_MASK, QSPI_INTR_MASK_WORD = QSPI_INTR_ENABLE_SET_REG_WIRQ_ENA_SET_MASK } |
| This enumerates the flags for word or frame interrupt for QSPI module. More... | |
| enum | qspiClkMode { QSPI_CLK_MODE_0, QSPI_CLK_MODE_1, QSPI_CLK_MODE_2, QSPI_CLK_MODE_3, QSPI_CLK_MODE_0, QSPI_CLK_MODE_1, QSPI_CLK_MODE_2, QSPI_CLK_MODE_3 } |
| Enumerates the four possible clock modes for QSPI. Each mode has different values of clock phase(CKPH) and clock polarity(CKP) More... | |
| enum | qspiChipSelect { QSPI_CHIP_SELECT_CS0 = 0x0U, QSPI_CHIP_SELECT_CS1 = 0x1U, QSPI_CHIP_SELECT_CS2 = 0x2U , QSPI_CHIP_SELECT_CS0 = 0x0U, QSPI_CHIP_SELECT_CS1 = 0x1U, QSPI_CHIP_SELECT_CS2 = 0x2U } |
| Enumerates the different chip selects available to QSPI. QSPI module have four chip selects to connect to four external devices. More... | |
| enum | qspiCsPol { QSPI_CS_POL_ACTIVE_LOW = QSPI_SPI_DC_REG_CSP0_ACTIVE_LOW, QSPI_CS_POL_ACTIVE_HIGH = QSPI_SPI_DC_REG_CSP0_ACTIVE_HIGH } |
| enum | qspiDataDelay { QSPI_DATA_DELAY_0 = QSPI_SPI_DC_REG_DD0_CS_TO_DATA_DELAY_0, QSPI_DATA_DELAY_1 = QSPI_SPI_DC_REG_DD0_CS_TO_DATA_DELAY_1, QSPI_DATA_DELAY_2 = QSPI_SPI_DC_REG_DD0_CS_TO_DATA_DELAY_2, QSPI_DATA_DELAY_3 = QSPI_SPI_DC_REG_DD0_CS_TO_DATA_DELAY_3 } |
| Enumerates the value of Data delay value for each chip select. Data is output on the same cycle as CS_N goes active, or 1, 2 or 3 DCLK cycles after the CS_N goes active depending on the data delay provided. More... | |
| enum | qspiMemMapNumAddrBytes { QSPI_MEM_MAP_NUM_ADDR_BYTES_ONE = 0U, QSPI_MEM_MAP_NUM_ADDR_BYTES_TWO = 1U, QSPI_MEM_MAP_NUM_ADDR_BYTES_THREE = 2U, QSPI_MEM_MAP_NUM_ADDR_BYTES_FOUR = 3U, QSPI_MEM_MAP_NUM_ADDR_BYTES_ONE, QSPI_MEM_MAP_NUM_ADDR_BYTES_TWO, QSPI_MEM_MAP_NUM_ADDR_BYTES_THREE, QSPI_MEM_MAP_NUM_ADDR_BYTES_FOUR } |
| Enumerates the number of Address bytes to be sent before transfer in memory mapped mode for each chip select. More... | |
| enum | qspiMemMapPortSel { , QSPI_MEM_MAP_PORT_SEL_MEM_MAP_PORT } |
| This enumerates the values for switch to be set in the QSPI switch register for selection between config port and memory mapped port. If 0 (default) config port has is selected to control config of core SPI module module. If 1, Memory Mapped Protocol Translator is selected to control config port of core SPI module. More... | |
| enum | qspiMemMapReadType { QSPI_MEM_MAP_READ_TYPE_NORMAL, QSPI_MEM_MAP_READ_TYPE_DUAL, QSPI_MEM_MAP_READ_TYPE_NORMAL_READTYPE, QSPI_MEM_MAP_READ_TYPE_QUAD } |
| This enum Enumerates the different read types for each chip select for transfer in memory mapped mode. More... | |
| enum | qspiCfgModeTxCmd { QSPI_CFG_MODE_TX_CMD_FOUR_PIN_READ_SINGLE, QSPI_CFG_MODE_TX_CMD_FOUR_PIN_WRITE_SINGLE, QSPI_CFG_MODE_TX_CMD_FOUR_PIN_READ_DUAL, QSPI_CFG_MODE_TX_CMD_THREE_PIN_READ_SINGLE, QSPI_CFG_MODE_TX_CMD_THREE_PIN_WRITE_SINGLE, QSPI_CFG_MODE_TX_CMD_SIX_PIN_READ_QUAD } |
| Enumerates the various transfer commands to be set in the command register for transfer using configuration registers. More... | |
Functions | |
| void | QSPIconfigIdleMode (uint32_t baseAdd, uint32_t idleMode) |
| This function configures the idle mode of the QSPI. More... | |
| void | QSPISetClockControl (uint32_t baseAdd, qspi_ClockFreq_e in_ClockSettings) |
| This function sets DCLK_DIV feild in SPICC register and enables clock. More... | |
| void | QSPIsetDeviceControl (uint32_t baseAdd, uint32_t value) |
| This function sets Device Control register. More... | |
| uint32_t | QSPIgetDeviceControl (uint32_t baseAdd) |
| This function returns value of device control register. More... | |
| void | QSPIsetCommandReg (uint32_t baseAdd, uint32_t cmd) |
| This function sets Command register. More... | |
| uint32_t | QSPIgetCommandReg (uint32_t baseAdd) |
| This function returns value of Command register. More... | |
| uint32_t | QSPIgetStatus (uint32_t baseAdd) |
| This function returns value of Status register. More... | |
| uint32_t | QSPIgetStatusWordCount (uint32_t baseAdd) |
| This function returns Word count value of Status register. More... | |
| void | QSPIWaitIdle (uint32_t baseAdd) |
| This function is blocking and waits till busy bit in status register is reset. More... | |
| void | QSPIwriteData (uint32_t baseAdd, const uint32_t *data, int32_t length) |
| This function writes to data register: data, data1, data2, data3. More... | |
| void | QSPIreadData (uint32_t baseAdd, uint32_t *data, int32_t length) |
| This function reads value of data register: data, data1, data2, data3. More... | |
| void | QSPISetMemoryMapSetup (uint32_t baseAdd, uint32_t value, uint32_t chipSelect) |
| This function sets Memory Map Setup register. More... | |
| uint32_t | QSPIgetMemoryMapSetup (uint32_t baseAdd, uint32_t chipSelect) |
| This function returns value of Memory Map Setup register. More... | |
| void | QSPISetMAddrSpace (uint32_t baseAdd, uint8_t MMPT_S) |
| This function selects the memory mapped mode in SPI switch register. More... | |
| void | QSPIintEnable (uint32_t baseAdd, uint32_t intFlag) |
| This Function enables only specified QSPI interrupts. More... | |
| void | QSPIintDisable (uint32_t baseAdd, uint32_t intFlag) |
| This Function disables only specified QSPI interrupts. More... | |
| uint32_t | QSPIgetEnabledIntStatus (uint32_t baseAdd) |
| This function gets the status of enabled interrupts. More... | |
| uint32_t | QSPIintStatus (uint32_t baseAdd) |
| This function returns the status of interrupts. More... | |
| void | QSPIintClear (uint32_t baseAdd, uint32_t intFlag) |
| This Function clears the interrupts. More... | |
| uint32_t | QSPIintRawStatus (uint32_t baseAdd) |
| This function returns the raw status of interrupts. More... | |
| void | QSPIintRawStatusClear (uint32_t baseAdd, uint32_t intFlag) |
| This Function clears the raw status of interrupts. More... | |
| void | QSPISetClkMode (uint32_t baseAddr, uint32_t chipSelect, uint32_t clkMode) |
| This function configures the QSPI to work in different clock modes for each output chip select. More... | |
| void | QSPISetCsPol (uint32_t baseAddr, uint32_t chipSelect, uint32_t csPol) |
| This function configures the chip select polarity for a selected chip select. This can only be done if QSPI module is not busy. More... | |
| void | QSPISetDataDelay (uint32_t baseAddr, uint32_t chipSelect, uint32_t dataDelay) |
| This function configures the Data delay for each chip select. This can only be done if QSPI module is not busy. More... | |
| void | QSPISetPreScaler (uint32_t baseAddr, uint32_t clkDividerVal) |
| Set the QSPI clock register divider value. More... | |
| void | QSPISetMemMapNumAddrBytes (uint32_t baseAddr, uint32_t chipSelect, uint32_t numAddrBytes) |
| Set number of address bytes for memory mapped mode. More... | |
| void | QSPISetMemAddrSpace (uint32_t baseAddr, uint32_t chipSelect, uint32_t memMappedPortSwitch) |
| Set Memory address space. More... | |
| void | QSPISetMemMapReadCmd (uint32_t baseAddr, uint32_t chipSelect, uint32_t readCmd) |
| Set Read Command in memory mapped mode. More... | |
| void | QSPISetMemMapReadType (uint32_t baseAddr, uint32_t chipSelect, uint32_t readType) |
| Set read type in memory mapped mode. More... | |
| void | QSPISetMemMapNumDummyBits (uint32_t baseAddr, uint32_t chipSelect, uint32_t numDummyBits) |
| Set Number of dummy bits for memory mapped mode. More... | |
| void | QSPISetCfgModeTxCmd (uint32_t baseAddr, uint32_t qspitxcmd) |
| Set Transfer Command. More... | |
| void | QSPISetMemMapWriteCmd (uint32_t baseAddr, uint32_t chipSelect, uint32_t writeCmd) |
| Set write command in memory mapped mode. More... | |
| typedef enum qspiCsPol qspiCsPol_t |
/brief Enumerates the polarities for different chip select available. (Chip Select 0 to Chip Select 3)
| enum qspi_ChipSelect_e |
| enum qspi_ClockFreq_e |
Enumerates the values used to represent QSPI flash clock frequency.
| enum qspi_DeviceType_e |
Enumerates the values used to represent QSPI device type.
| enum qspi_ReadCommand_e |
Enumerates the values used to represent QSPI commands.
| enum qspiCfgModeTxCmd |
Enumerates the various transfer commands to be set in the command register for transfer using configuration registers.
| enum qspiChipSelect |
Enumerates the different chip selects available to QSPI. QSPI module have four chip selects to connect to four external devices.
| enum qspiClkMode |
Enumerates the four possible clock modes for QSPI. Each mode has different values of clock phase(CKPH) and clock polarity(CKP)
| enum qspiCsPol |
| enum qspiDataDelay |
Enumerates the value of Data delay value for each chip select. Data is output on the same cycle as CS_N goes active, or 1, 2 or 3 DCLK cycles after the CS_N goes active depending on the data delay provided.
| enum qspiIntrMask |
This enumerates the flags for word or frame interrupt for QSPI module.
| enum qspiMemMapNumAddrBytes |
Enumerates the number of Address bytes to be sent before transfer in memory mapped mode for each chip select.
| enum qspiMemMapPortSel |
This enumerates the values for switch to be set in the QSPI switch register for selection between config port and memory mapped port. If 0 (default) config port has is selected to control config of core SPI module module. If 1, Memory Mapped Protocol Translator is selected to control config port of core SPI module.
| Enumerator | |
|---|---|
| QSPI_MEM_MAP_PORT_SEL_MEM_MAP_PORT |
< config port is selected to control config of core SPI module. |
| enum qspiMemMapReadType |
This enum Enumerates the different read types for each chip select for transfer in memory mapped mode.
| void QSPIconfigIdleMode | ( | uint32_t | baseAdd, |
| uint32_t | idleMode | ||
| ) |
This function configures the idle mode of the QSPI.
| baseAdd | QSPI base address. |
| idleMode | Idle mode to be configured. Possible values are 0x0: Force-idle. An idle request is acknowledged unconditionally 0x1: No-idle. An idle request is never acknowledged 0x2: Smart-idle. Acknowledgement to an idle request is given based on the internal activity of the module |
| uint32_t QSPIgetCommandReg | ( | uint32_t | baseAdd | ) |
This function returns value of Command register.
| baseAdd | QSPI base address. |
| uint32_t QSPIgetDeviceControl | ( | uint32_t | baseAdd | ) |
This function returns value of device control register.
| baseAdd | QSPI base address. |
| uint32_t QSPIgetEnabledIntStatus | ( | uint32_t | baseAdd | ) |
This function gets the status of enabled interrupts.
| baseAdd | QSPI base address. |
| uint32_t QSPIgetMemoryMapSetup | ( | uint32_t | baseAdd, |
| uint32_t | chipSelect | ||
| ) |
This function returns value of Memory Map Setup register.
| baseAdd | QSPI base address. |
| chipSelect | External Chip Select value - supported values 0 to 3 for cs0 to cs3 respectively |
| uint32_t QSPIgetStatus | ( | uint32_t | baseAdd | ) |
This function returns value of Status register.
| baseAdd | QSPI base address. |
| uint32_t QSPIgetStatusWordCount | ( | uint32_t | baseAdd | ) |
This function returns Word count value of Status register.
| baseAdd | QSPI base address. |
| void QSPIintClear | ( | uint32_t | baseAdd, |
| uint32_t | intFlag | ||
| ) |
This Function clears the interrupts.
| baseAdd | QSPI base address. |
| intFlag | mask value for the interrupts to be cleared. |
| void QSPIintDisable | ( | uint32_t | baseAdd, |
| uint32_t | intFlag | ||
| ) |
This Function disables only specified QSPI interrupts.
| baseAdd | QSPI base address. |
| intFlag | mask value for the interrupts to be enabled. |
| void QSPIintEnable | ( | uint32_t | baseAdd, |
| uint32_t | intFlag | ||
| ) |
This Function enables only specified QSPI interrupts.
| baseAdd | QSPI base address. |
| intFlag | mask value for the interrupts to be enabled. |
| uint32_t QSPIintRawStatus | ( | uint32_t | baseAdd | ) |
This function returns the raw status of interrupts.
| baseAdd | QSPI base address. |
| void QSPIintRawStatusClear | ( | uint32_t | baseAdd, |
| uint32_t | intFlag | ||
| ) |
This Function clears the raw status of interrupts.
| baseAdd | QSPI base address. |
| intFlag | mask value for the raw status interrupts to be cleared. |
| uint32_t QSPIintStatus | ( | uint32_t | baseAdd | ) |
This function returns the status of interrupts.
| baseAdd | QSPI base address. |
| void QSPIreadData | ( | uint32_t | baseAdd, |
| uint32_t * | data, | ||
| int32_t | length | ||
| ) |
This function reads value of data register: data, data1, data2, data3.
| baseAdd | QSPI base address. |
| data | pointer to destination address. |
| length | number of words to be read - accepted values from 1 to 4. |
| void QSPISetCfgModeTxCmd | ( | uint32_t | baseAddr, |
| uint32_t | qspitxcmd | ||
| ) |
Set Transfer Command.
This function sets the transfer command in the command for transfer of data in configuration mode.
| baseAddr | Base Address of QSPI module registers |
| qspitxcmd | The transfer commnand to be set for initiating the qspi transfer in config mode. |
| void QSPISetClkMode | ( | uint32_t | baseAddr, |
| uint32_t | chipSelect, | ||
| uint32_t | clkMode | ||
| ) |
This function configures the QSPI to work in different clock modes for each output chip select.
The combination of Clock phase and clock polarity creates the SPI mode. Most serial flash devices support only mode 0 and mode 3. Changing the clock polarity also swaps the transmit/receive clock edge relationship. If a slave device states that it receives data on the rising edge and transmits on the falling edge of the clock, then it can only support mode 0 or 3. This can only be done if QSPI module is not busy.
The 4 possible modes are :
CKP CKPH Description 0 0 Data input captured on rising edge of qspi1_sclk clock. Data output generated on falling edge of qspi1_sclk clock 0 1 Data input captured on falling edge of qspi1_sclk clock. Data output generate on rising edge of qspi1_sclk clock 1 0 Data input captured on falling edge of qspi1_sclk clock. Data output generated on rising edge of qspi1_sclk clock 1 1 Data input captured on rising edge of qspi1_sclk clock. Data output generated on falling edge of qspi1_sclk clock
| baseAddr | Base Address of QSPI module registers. |
| chipSelect | chipSelect for which the mode is to be configured. Supported values according to enum qspiChipSelect_t. |
| clkMode | Mode required to be selected. Supported values given by enum qspiClkMode_t |
| void QSPISetClockControl | ( | uint32_t | baseAdd, |
| qspi_ClockFreq_e | in_ClockSettings | ||
| ) |
This function sets DCLK_DIV feild in SPICC register and enables clock.
| baseAdd | QSPI base address. |
| in_ClockSettings | Clock Settings based on enum qspi_ClockFreq_e. |
| void QSPIsetCommandReg | ( | uint32_t | baseAdd, |
| uint32_t | cmd | ||
| ) |
This function sets Command register.
| baseAdd | QSPI base address. |
| cmd | Value to be written to Command register |
| void QSPISetCsPol | ( | uint32_t | baseAddr, |
| uint32_t | chipSelect, | ||
| uint32_t | csPol | ||
| ) |
This function configures the chip select polarity for a selected chip select. This can only be done if QSPI module is not busy.
| baseAddr | Base Address for QSPI module registers. |
| chipSelect | chip select for which polarity is to be configured. Supported values are according to enum qspiChipSelect_t. |
| csPol | Polarity value of the chip select selected. Supported values are given by the enum qspiCsPol_t |
| void QSPISetDataDelay | ( | uint32_t | baseAddr, |
| uint32_t | chipSelect, | ||
| uint32_t | dataDelay | ||
| ) |
This function configures the Data delay for each chip select. This can only be done if QSPI module is not busy.
| baseAddr | Base Address for QSPI module registers. |
| chipSelect | chip select for which polarity is to be configured. Supported values are according to enum qspiChipSelect_t. |
| dataDelay | Value of Data Delay. Supported values are given by enum qspiDataDelay_t |
| void QSPIsetDeviceControl | ( | uint32_t | baseAdd, |
| uint32_t | value | ||
| ) |
This function sets Device Control register.
| baseAdd | QSPI base address. |
| value | Value to be written to Device Control register |
| void QSPISetMAddrSpace | ( | uint32_t | baseAdd, |
| uint8_t | MMPT_S | ||
| ) |
This function selects the memory mapped mode in SPI switch register.
| baseAdd | QSPI base address. |
| MMPT_S | Memory map switch value |
| void QSPISetMemAddrSpace | ( | uint32_t | baseAddr, |
| uint32_t | chipSelect, | ||
| uint32_t | memMappedPortSwitch | ||
| ) |
Set Memory address space.
This function selects the memory mapped mode in SPI switch register and configures mapped address for different chip select in control module. It provides a functionality for remapping the memory mapped address space to one of the four supported chip selects or to the configuration registers.
| baseAddr | Base Address for QSPI module registers |
| memMappedPortSwitch | Switch for selection of memory mapped port and configuration port. Supported values are given by enum qspiMemMapPortSel_t. |
| chipSelect | chip select for which polarity is to be configured. Supported values given by qspiChipSelect_t. |
| void QSPISetMemMapNumAddrBytes | ( | uint32_t | baseAddr, |
| uint32_t | chipSelect, | ||
| uint32_t | numAddrBytes | ||
| ) |
Set number of address bytes for memory mapped mode.
This function configures the number af Address Bytes to be sent for memory mapped protocol translator for selected chip select.By default, the device uses 3 address bytes. This can only be done if QSPI module is not busy.
| baseAddr | Base Address for QSPI module registers. |
| chipSelect | chip select for which polarity is to be configured. Supported values are according to enum qspiChipSelect_t. |
| numAddrBytes | Number of Address bytes to be sent for memory mapped protocol translator. Supported values are : for each chip select given by enum qspiMemMapNumAddrBytes_t. |
| void QSPISetMemMapNumDummyBits | ( | uint32_t | baseAddr, |
| uint32_t | chipSelect, | ||
| uint32_t | numDummyBits | ||
| ) |
Set Number of dummy bits for memory mapped mode.
This function configures the number of Dummy Bits to be sent for memory mapped protocol translator for selected chip select for fast read mode. This can only be done if QSPI module is not busy.
| baseAddr | Base Address for QSPI module registers. |
| chipSelect | chip select for which polarity is to be configured. Supported values are according to enum qspiChipSelect_t. |
| numDummyBits | Number of Dummy Bits to be sent for memory mapped protocol translator. User can pass any value from 0 to 32 bits. |
| void QSPISetMemMapReadCmd | ( | uint32_t | baseAddr, |
| uint32_t | chipSelect, | ||
| uint32_t | readCmd | ||
| ) |
Set Read Command in memory mapped mode.
This function configures the read command for memory mapped protocol translator in memory mapped SPI setup register. The command send is according to the slave device connected. By default, the device uses a read command of 0x3. This can only be done if QSPI module is not busy.
| baseAddr | Base Address for QSPI module registers. |
| chipSelect | chip select for which polarity is to be configured. Supported values are according to enum qspiChipSelect_t. |
| readCmd | Read Command to be sent to the flash device. This command is specific to the flash device being used. |
| void QSPISetMemMapReadType | ( | uint32_t | baseAddr, |
| uint32_t | chipSelect, | ||
| uint32_t | readType | ||
| ) |
Set read type in memory mapped mode.
This function configures the read type for QSPI in memory mapped mode for selected chip select.Determines if the read command is a single, dual or quad read mode. This can only be done if QSPI module is not busy.
| baseAddr | Base Address for QSPI module registers. |
| chipSelect | chip select for which polarity is to be configured. Supported values are according to enum qspiChipSelect_t. |
| readType | Read type to be chosen. Supported values are given by enum qspiMemMapReadType_t. |
| void QSPISetMemMapWriteCmd | ( | uint32_t | baseAddr, |
| uint32_t | chipSelect, | ||
| uint32_t | writeCmd | ||
| ) |
Set write command in memory mapped mode.
This function configures the write command for memory mapped protocol translator in memory mapped SPI setup register. The command send is according to the slave device connected. By default, the device uses a write command of 0x2. This can only be done if QSPI module is not busy.
| baseAddr | Base Address for QSPI module registers. |
| chipSelect | chip select for which polarity is to be configured. Supported values are according to enum qspiChipSelect_t. |
| writeCmd | Write Command to be sent to the flash device. This command is specific to the flash device being used. |
| void QSPISetMemoryMapSetup | ( | uint32_t | baseAdd, |
| uint32_t | value, | ||
| uint32_t | chipSelect | ||
| ) |
This function sets Memory Map Setup register.
| baseAdd | QSPI base address. |
| value | Value to be written to Memory Map Setup register |
| chipSelect | External Chip Select value - supported values 0 to 3 for cs0 to cs3 respectively |
| void QSPISetPreScaler | ( | uint32_t | baseAddr, |
| uint32_t | clkDividerVal | ||
| ) |
Set the QSPI clock register divider value.
This function sets the QSPI clock control register with serial data clock divider ratio (DCLK_DIV) according to the input clock provided and the output clock required. DCLK_DIV = ((input clock) / (output clock)) - 1. This function also enables the clock for QSPI module. This can only be done if QSPI module is not busy.
| baseAddr | Base Address for QSPI module registers. |
| clkDividerVal | clock divider value to be set. |
| void QSPIWaitIdle | ( | uint32_t | baseAdd | ) |
This function is blocking and waits till busy bit in status register is reset.
| baseAdd | QSPI base address. |
| void QSPIwriteData | ( | uint32_t | baseAdd, |
| const uint32_t * | data, | ||
| int32_t | length | ||
| ) |
This function writes to data register: data, data1, data2, data3.
| baseAdd | QSPI base address. |
| data | pointer to source address. |
| length | number of words to be written - accepted values from 1 to 4. |


I always enjoy learning new things. Especially the technologies that make your company special.
Semantic HTML5
Responsive CSS3
Interactive JavaScript
git
github
Sass
I am an ambitious developer with the ability to create responsive websites using HTML, CSS, and Javascript. I also enjoy spending my free time increasing my knowledge of Web Development and building new and challenging projects.
Interested in working together? Shoot me an email and I'll be in touch within a couple of hours.


The graph below depicts the grades for students for a particular course over the years (2010-2015).
Click on the Course Name column to view details for different terms.


Henry Wadsworth Longfellow: Selected Works
by Henry Wadsworth Longfellow
Psalm of Life
Additional Information
- Year Published: 2000
- Language: English
- Country of Origin: United States of America
- Source: J.D. McClatchy, ed., Henry Wadsworth Longfellow: Poems and Other Writings (New York: Library of America, 2000)
-
Readability:
- Flesch–Kincaid Level: 8.0
- Word Count: 260
- Genre: Poetry
- ✎ Cite This
Downloads
Tell me not, in mournful numbers,
Life is but an empty dream!
For the soul is dead that slumbers,
And things are not what they seem.
Life is real! Life is earnest!
And the grave is not its goal;
Dust thou art, to dust returnest,
Was not spoken of the soul.
Not enjoyment, and not sorrow,
Is our destined end or way;
But to act, that each to-morrow
Find us farther than to-day.
Art is long, and Time is fleeting,
And our hearts, though stout and brave,
Still, like muffled drums, are beating
Funeral marches to the grave.
In the world’s broad field of battle,
In the bivouac of Life,
Be not like dumb, driven cattle!
Be a hero in the strife!
Trust no Future, howe’er pleasant!
Let the dead Past bury its dead!
Act,—act in the living Present!
Heart within, and God o’erhead!
Lives of great men all remind us
We can make our lives sublime,
And, departing, leave behind us
Footprints on the sands of time;—
Footprints, that perhaps another,
Sailing o’er life’s solemn main,
A forlorn and shipwrecked brother,
Seeing, shall take heart again.
Let us, then, be up and doing,
With a heart for any fate;
Still achieving, still pursuing,
Learn to labor and to wait.


title=My other blog on Artima.com, and my first post, "The New Old" date=2008-12-18 type=post tags=blog status=published ~~~~~~
The New Old, my first post on Artima.com. Check it out. Let's talk.


“A person who never made a mistake never tried anything new.”
- Einstein, Physicist
“Business opportunities are like buses: there’s always another one coming.”
-Richard Branson


- Ness
- System
- View
- System
You can include this library to your code file by typing the below code;
use Ness\System\View
About Views #top
Views are html pages that can be loaded by a controller, you can not directly redirect your application to a view file. Ness PHP stores view files in a folder called 'View'. You can create sub folders in view folder if you want to seperate parts of your application.
Render a View #top
Render command can be used to create a view from php view file and load to browser screen.
$this->View->Render(string $prm_file,boolean $isusual = true);
| Return a view to user. | ||
| Return | Object | |
| Parameters | $prm_file String; View's file name which is located in 'View' path $isusual Boolean; *optional. If your view is not located in 'View' directory. |
Render Content #top
Render command can be also used for rendering string messages to browser screen.
$this->Content->Render(string $prm);
| Return a view to user. | ||
| Return | Object | |
| Parameters | $prm String; Value to print |
Check if a View is Available #top
This command is used to check if a view file is available, returns true if file is found.
$this->View->isAvailable(string $prm_file,boolean $isusual = true);
| Check if view file is available | ||
| Return | Boolean | |
| Parameters | $prm_file String; View's file name which is located in 'View' path $isusual Boolean; *optional. If your view is not located in 'View' directory. |
Transfer Values Between Controller/View #top
Let's say you have a indexController.php controller in your controller directory, and you want to set a variable in your view file. There is lots of methods to do that like ObjectMapper of Ness framework, but in classic way you need to define a variable in your view file;
...HTML CODES
<?= $this->sayhello; ?>
...HTML CODES
And in your controller;
class indexController extends Ness\Controller{
public function IndexAction($param=0)
{
$this->View->sayhello = "Hello World :)";
$this->View->Render("test.php");
}
}
Examples #top
Check if View file is available
$this->View->isAvailable("home\index.php");
will look for Application/View/home/index.php
Check if view file is anywhere else
$this->View->isAvailable("test_folder\index.php", false);
will look for Application/test_folder/index.php
Load if view exists
if($this->View->isAvailable("home/home.php"))
{
$this->View->Render("home/home.php");
}else{
$this->Content->Render("View Not Found");
}


How can EnzymeML help you developing, implementing and analysing models?
An EnzymeML document provides the complete experimental information including the enzyme concentration, the initial concentrations of substrates, products, or inhibitors, and the measured concentrations of substrate or product at different time points. It might also provide a preferred kinetic model or alternative kinetic models. The model consists of a kinetic law which determines the temporal changes in the concentration of substrates, products, or enzyme as a function of measured concentrations of substrates, products, and enzyme, and of kinetic parameters.
The modeler then selects a kinetic model given in the EnzymeML document or generates a separate kinetic model, which is then used to estimate the kinetic parameters by fitting the time course of substrate or product concentrations as predicted from the model to the experimentally determined time courses. Fitting is done for a set of initial conditions such as a range of initial substrate concentrations and enzyme concentrations. A model might also include the effect of pH or temperature.
The major advantage of EnzymeML to the modeler is the completeness and interoperability of the experimental data. Finally, the estimated parameters are added to the EnzymeML document, which then contains the complete information on the experiment: the reaction conditions, the time course of substrates and products, the selected kinetic model, and the estimated kinetic parameters.
Currently implemented functionalities
A simple Michaelis-Menten fitting procedure provided by the EnzymeML API
In order to model your experimental data described in your EnzymeML document, simply provide the archive alongide the reaction and reactants you want to model to our RESTful API. You will receive a new archive incuding the estimated parameters. For further information please consider reading our documentation.


For the sake of simplicity there are only four commonly known build-in types:
| Type Name | .NET Analogue | Initializer |
| double | double | x = 1.23; |
| long | long | x = 3; |
| string | string | s='Hello World!' |
| bool | bool | b = true |
| array | object[] | A = [1, 1+2, 'Hello', s] |
There is also implicit type object which is .NET object. All other types are derived from it. Script .NET supports type importing. Which means you can add any .NET Framework type to the Script .NET programs and work with it.
Note: If you haven't added your time Script.NET run-time will search it in libraries loaded into current application domain. If the type was found then it will be cached for further use in Script Context.


xUnit.net is a free, open source, community-focused unit testing tool for the .NET Framework. Written by the original inventor of NUnit v2, xUnit.net is the latest technology for unit testing C#, F#, VB.NET and other .NET languages. xUnit.net works with ReSharper, CodeRush, TestDriven.NET and Xamarin. It is licensed under Apache 2 (an OSI approved license).


Reference-free method for conducting EWAS while deconvoluting DNA methylation arising as mixtures of cell types. The older method (Houseman et al., 2014,<doi:10.1093/bioinformatics/btu029>) is similar to surrogate variable analysis (SVA and ISVA), except that it makes additional use of a biological mixture assumption. The newer method (Houseman et al., 2016, <doi:10.1186/s12859-016-1140-4>) is similar to non-negative matrix factorization, with additional constraints and additional utilities.
| Version: | 2.2 |
| Depends: | R (≥ 3.2.2), quadprog |
| Published: | 2018-12-14 |
| Author: | E. Andres Houseman, Sc.D. |
| Maintainer: | E. Andres Houseman <eahouseman at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | RefFreeEWAS results |
| Reference manual: | RefFreeEWAS.pdf |
| Package source: | RefFreeEWAS_2.2.tar.gz |
| Windows binaries: | r-devel: RefFreeEWAS_2.2.zip, r-release: RefFreeEWAS_2.2.zip, r-oldrel: RefFreeEWAS_2.2.zip |
| OS X binaries: | r-release: RefFreeEWAS_2.2.tgz, r-oldrel: RefFreeEWAS_2.2.tgz |
| Old sources: | RefFreeEWAS archive |
Please use the canonical form https://CRAN.R-project.org/package=RefFreeEWAS to link to this page.


Ocala events
-
i will survive stefanie
Scott & White - Central Texas
List of providers that match your search criteria. *If a single .
http://www.sw.org/doctor-search-results-pbLeander ISD third six weeks honor roll : Cedar Park Leander ...
Leander ISD third six weeks honor roll. Wednesday, January 30, 2013 | Special to the CP-L . Kennedy Harmon. Amanda Nicole Hartman. Chloe Heitmeier .
http://cplstatesman.com/2013/01/30/leander-isd-third-six-weeks-honor-roll/Leander High School, Leander, Texas(TX)
Find 6565 alumni members from Leander High School in Leander, TX. Reconnect with friends and fellow graduates on Memory Lane.
http://www.classmates.com/places/school/Leander-High-School/2343RFD-TV Episode Guide - Texas Country Reporter
Julie Holcomb, 3100 W. Collin St., Corsicana, TX 75110 Phone:<PHONE_NUMBER>. Plus find . Gordon Hartman, Morgan's Wonderland, 5223 David Edwards Drive, San Antonio, TX 78233<PHONE_NUMBER> . Chris Smith Maps, Leander, TX MAP .
http://www.texascountryreporter.com/showrfd.htm
mediteranian plants north east us Upcoming events in Ocala
- Sponsored event
metal or vinyl edging
Apr 6 - Dance It Studio
pink robot rebuilds blue robot cartoon auzen x-fi hometheater 7.1
german tales of cutting Hottest Tickets
-
Apr 11romney health plan and massachutsetts
Amway Center -
Apr 28broccoli and spaghetti casserole
Amway Center -
Jun 25features of developed countries
Bob Carr Performing Arts Center -
Mar 30green river community college stress management
Amway Center -
Aug 27polycom soundstation premier store
Amway Center -
Jun 21homes to sit in caribbean
Amway Center -
Sep 13debenhams department stores lincoln
Francis Field -
Mar 17similac formula causing constipation
St Augustine Amphitheatre -
Oct 8carol hershey geriatric media pa
Amway Center -
May 4stevenson adlai eisenhower dwight d
Bob Carr Performing Arts Center
Ocala's best venues
-
Volume 112 - August 2012 - Texas State Board of Public Accountancy
Aug 12, 2012 . honoree Virgil F. Stone. Members of the Austin chapter, Texas Society of CPAs, . 008088 Hartman Leito & Bolt, LLP. 04/01/2014 . Theresa Kaye Cruz, Leander, TX. 05/24/2012 . Julie M. Todaro, Seattle, WA. 07/19/2012 .
http://www.tsbpa.state.tx.us/pdffiles/br1208.pdf -
TOM GREEN COUNTY TEXAS- Obits:San - USGenWeb Archives
Roger went to the University of Texas and received his master's degree in . Biggs of Austin and Julie Biggs Judson and her husband, Don, of Midland; a brother, . and Julianna Hartmann of Leander, Texas; six grandchildren, Jon, Michael, .
http://files.usgwarchives.net/tx/tomgreen/obits/2004/061604.txt -
Dr. Lori Honeycutt - Phone & Address Info - Cedar Park, TX ...
. Cypress Creek Rd Suite 100. Cedar Park, TX 78613 . Dr. Aubrey C. Hartmann, MD. Dermatologist. 2.95 miles . Dr. Julie L. Fridlington, MD. Dermatologist .
http://www.healthgrades.com/physician/dr-lori-honeycutt-yj6sdstansted airport short stay car parks
98 people's favorite
-
98.1 KVET - Austin, TX - Radio Station | Facebook
A big thank you to KVET for sponsoring our 15th Mighty Texas Dog Walk, March 23 at Auditorium Shores. It's the Doggiest . Taylor Hartmann. March 8. Vote for . Julie Rayposted to98.1 KVET · February 28 . February 21 near Leander, TX .
http://www.facebook.com/981KVETAUSTIN?filter=2 -
DeWitt Colony Biographies--Surnames A-G - Texas A&M University
In 1845 while living in ShelbyCo, TX, Alexander released all rights to land obtained under the . 1875, married J.H. Hartman and lived at Skidmore, Texas; Laura Allen was born . Leander Calvin Cunningham was born in the eastern part of Tennessee, July 10, . Information provided by descendants Julie & Kenny Karm.
http://www.tamu.edu/faculty/ccbn/dewitt/dewittbios.htm


the conscructor of the user should only me invoked by the Client
the user id
optional options
adds the user to a user group as member
the user group
deletes a user
demote the user from beeing a subadmin of the user group
the user group
demote user from being a super admin
disables the user
enables the user
returns the phone number
address
returns the display name
display name
returns the email address
email adress
returns the langauge code
language code
get the last login date or null if the user has not been logged in yet
last login date or null if the user has not been logged in yet
returns the locale
locale
returns a list of user group ids where the user is member
a list of user group ids where the user is member
returns a list of user groups where the user is member
a list of user groups where the user is member
returns the phone number
phone number
returns information on quota, usage and available space
returns information on quota, usage and available space in a user friendly format
returns a list of user group ids where the user is subadmin
a list of user group ids where the user is subadmin
returns a list of user groups where the user is subadmin
a list of user groups where the user is subadmin
returns the twitter handle
twitter handle
returns the website
website
returns true if the user is enabled
true if the user is enabled
true if the user is a superadmin
true if the user is a superadmin
promote user to super admin
promote the user to be a subadmin of the user group
the user group
remove the user from a user group as member
the user group
resends the welcome email
set the address
the address
set the display name
the display name
set the email address
the email address
set the language code like EN, DE, FR...
the language code
set the locale like EN, DE, FR...
the locale
set the password
the password
set phone number
the phone number
sets the quota limit of the user
the quota string like "1 GB", "100 MB"
set the twitter handle
the twitter handle
set the website
the website
Generated using TypeDoc
The user class represents a user in nextcloud. async getGroups async isDisabled async getLastLogin async getEmail getId async getDisplayName


test compiled and minified CSS -->
Click to get rich now:
Click here!
...And you're cool (I'm a cool hacker actually)!


OpenCOR is developed, built, tested, run and packaged on Windows, Linux and OS X (see our supported platforms for more details). Information on those different aspects can be found in the following pages:
Here are also some direct links to OpenCOR's:
You might also be interested in our published article.
Finally, here is how you can contact us.


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