Instructions
These instructions aim to provide a quick guide to using Graphing Solution
Set page defaults
Set page defaults has four inputs:
Page title: This sets the title for the outputted document.
Your name: Added to the bottom of the outputted document so that you can claim the work as yours.
Background color: This sets the background color of the outputted document. The default is white.
Foreground color: This sets the text color of the outputted document. The default is black.
Add graph
Add graph is used to add a graph the options are:
Graph title: This sets the title of the graph.
Choose amount of data points: This sets the number of data points there are on the graph. A common use is dates or times.
Choose amount of data values: This sets the number of data sets. For example comparing the sales of two products on the same axis.
Data entry table: There are three types of cell in the data entry table, it is available only after both options above have been set
Data value title: This is used to enter the name of the data set that is being used.
Data point: This is used to set the axis label, eg Date or time
Data value: This is the value as a number of the data set at the data point
Graph type: This chooses the type of graph, note that a pie graph takes only the right most column.
Add table
Add table is used to add a table to the output, the possible options are:
Number of rows:
Number of columns:
Table: The table appears for editing after you click set table size.
Top row: The top row of the table is the header and is used for the title
Rest of the cells: Simply fill in the rest of the cells with anything you want
Remove item
Remove item removes an item from the document, the options are:
Item name: The item name is either the graph title or the top row of a table.
Preview document
Preview document shows you a version of the document.
Export document
Export document saves the document in a html format. The options available are:
File name: The file that the document will be saved to, note it will not overwrite previous files.


The <go-copy>
component should be used for any instance where we want to provide a user
a way to copy information from the page by using a button.
This is the text that will be copied to a users clipboard when they click the button.
Click the button to copy the link!
The GoCopyCardLink
directive can be applied to a
go-copy
within a go-card
to enable the ability to copy the url to that specific go-card
.
To use the directive, complete the following steps:
go-copy
with a goCopyCardLink
directive to the go-card-header
element of the
go-card
you wish to be able to copy a link to.
id
attribute to the go-card
.
go-card
’s id attribute to the
cardId
input of the
goCopyCardLink
directive.
go-heading--no-wrap
to the
h2
tag within the card’s go-card-header
(this is necessary to enable the go-copy to be positioned correctly next to the card header).


Lebanese banks hope for positive impact from central bank statements
BEIRUT (Reuters) - Lebanese banks welcomed statements from central bank governor Riad Salameh on Monday, expressing hope these would have a positive impact on banking operations, particularly his assurances about protecting deposits and the stability of the Lebanese pound.
The banks also welcomed Salameh’s instructions “regarding transfers abroad, and that these must be linked to people’s essential needs”, the Association of Banks in Lebanon said in a statement.


AMAZING PEOPLE ARE MAKING AMAZING DESIGNS IN A FUN ENVIRONMENT
When you work with us you are part of a team of commited collaborators. All aspects of our software development 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, the 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 session is a propasal or high-level statement of work.
Based on your requirements, we can provide a complete offering of just the pieces you need.
DESIGN
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.
DEVELOPMENT
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.
PRODUCT MANAGEMENT
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.
Space Demo
Ontario Demo
Orange Demo
Movie Demo
Giraffe Demo
Burned Demo
Buttons Demo
Blog Demo


Bite Size Bayes¶
Copyright 2020 Allen B. Downey
License: Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
Review¶
In the previous notebook I introduced the World Cup problem:
In the 2018 FIFA World Cup final, France defeated Croatia 4 goals to 2. Based on this outcome:
How confident should we be that France is the better team?
If the same teams played again, what is the chance Croatia would win?
I started with the assumption that for any team against any other team there is some unknown goal-scoring rate, λ.
And I showed that if we know λ, we can compute the probability of scoring \(k\) goals in a game:
\(f(k; λ) = λ^k \exp(-λ) ~/~ k!\)
This function is the Poisson distribution, and we can use SciPy to compute it.
For example, if we know that λ is 1.4, we can compute the distribution of \(k\) like this:
from scipy.stats import poisson
λ = 1.4
xs = np.arange(11)
ys = poisson.pmf(xs, λ)
pmf_goals = pd.Series(ys, index=xs)
pmf_goals
0 0.246597
1 0.345236
2 0.241665
3 0.112777
4 0.039472
5 0.011052
6 0.002579
7 0.000516
8 0.000090
9 0.000014
10 0.000002
dtype: float64
In theory, the values of \(k\) go to infinity, but I cut it off at 10 because higher values have very low probability.
Here’s what the distribution of \(k\) looks like:
pmf_goals.plot.bar(color='C0', alpha=0.5, label='Poisson distribution')
plt.xlabel('Number of goals')
plt.ylabel('Probability')
plt.title('Distribution of goals scored')
plt.legend();
Because the values of \(k\) are discrete integers, I use a bar chart to plot the distribution.
Next I used a gamma distributon to represent the prior distribution of λ. I set the parameter of the gamma distribution, α, to 1.4, which is the average number of goals each team scores in World Cup play.
I broke the range of values for λ into 101 discrete possibilities and used SciPy to compute the prior probabilities:
from scipy.stats import gamma
α = 1.4
qs = np.linspace(0, 10, 101)
ps = gamma.pdf(qs, α)
prior = pd.Series(ps, index=qs)
prior /= prior.sum()
Here’s what the prior distribution looks like:
prior.plot(label='prior', color='gray')
plt.xlabel('Goal scoring rate')
plt.ylabel('Probability')
plt.title('Prior distribution')
plt.legend();
Because the values of \(λ\) are continuous, I use a line to plot the distribution.
Next we did a Bayesian update, using the Poisson distribution to compute the likelihood of the data, \(k\), for each possible goal scoring rate, \(λ\)
\( f(k; λ) = λ^k \exp(-λ) ~/~ k! \)
Since France scored 4 goals, the likelihood of the data is:
λs = prior.index
k = 4
likelihood = poisson.pmf(k, λs)
And we can use the following function to do the update:
def bayes_update(pmf, likelihood):
"""Do a Bayesian update.
pmf: Series that represents the prior
likelihood: sequence of likelihoods
returns: float probability of the data
"""
pmf *= likelihood
prob_data = pmf.sum()
pmf /= prob_data
return prob_data
france = prior.copy()
bayes_update(france, likelihood)
0.05015532557804499
And we can do the same thing for Croatia, given that they scored 2 goals:
k = 2
λs = prior.index
likelihood = poisson.pmf(k, λs)
croatia = prior.copy()
bayes_update(croatia, likelihood)
0.1609321178598705
Here’s what the results look like.
prior.plot(label='prior', color='gray')
france.plot(label='France', color='C0')
croatia.plot(label='Croatia', color='C3')
plt.xlabel('Goal scoring rate')
plt.ylabel('Probability')
plt.title('Posterior distributions for France and Croatia')
plt.legend();
In the previous notebook we used the following function to compute the mean of a PMF.
def pmf_mean(pmf):
"""Compute the mean of a PMF.
pmf: Series representing a PMF
return: float
"""
return np.sum(pmf.index * pmf)
We can use it to compute the posterior means for France and Croatia.
pmf_mean(france), pmf_mean(croatia)
(2.699772393342308, 1.6999765866755225)
Based on the outcome of the game, we have some reason to think France is the better team.
But if we look at the posterior distribution of λ for France and Croatia, there is still a lot of overlap, which means we are still not certain which is the better team.
In the next section, we’ll use the posterior distributions to compute the “probability of superiority”.
Probability of superiority¶
Now that we have a posterior distribution for each team, we can answer the first question: How confident should we be that France is the better team?
In the model, “better” means having a higher goal-scoring rate against the opponent. We can use the posterior distributions to compute the probability that a random value drawn from France’s distribution exceeds a value drawn from Croatia’s.
The following function takes a Series that represents a PMF and draws a sample from it.
def pmf_choice(pmf, n):
"""Draw a random sample from a PMF.
pmf: Series representing a PMF
n: number of values to draw
returns: NumPy array
"""
return np.random.choice(pmf.index,
size=n,
replace=True,
p=pmf)
pmf_choice
uses np.random.choice
, which chooses n
values from the PMF with replacement, so the same value can appear more than once. It uses the probabilities from the PMF as weights, so the number of times each value appears is proportional to its probability.
Here’s a sample from the posterior distribution for France.
sample_france = pmf_choice(france, 1000)
sample_france.mean()
2.6729000000000003
And here’s a sample for Croatia.
sample_croatia = pmf_choice(croatia, 1000)
sample_croatia.mean()
1.6914
To estimate the probability of superiority, we can count the number of times the value from France’s distribution exceeds the value from Croatia’s distribution.
np.mean(sample_france > sample_croatia)
0.744
On the basis of one game, we have moderate confidence that France is actually the better team.
Predicting the rematch¶
Now we can take on the second question: If the same teams played again, what is the chance Croatia would win?
To answer this question, we’ll generate a sample from the “posterior predictive distribution”, which is the number of goals we expect a team to score.
If we knew the goal scoring rate, λ, the distribution of goals would be a Poisson distributon with parameter λ.
Since we don’t know λ, we can use the sample we generated in the previous section to generate a sample of goals, like this:
goals_france = np.random.poisson(sample_france)
np.random.poisson
uses each element of sample_france
to generate a random value; that is, each value in the result is based on a different value of λ.
To see what the resulting distribution looks like, we’ll use this function from a previous notebook:
def pmf_from_seq(seq):
"""Make a PMF from a sequence of values.
seq: sequence
returns: Series representing a PMF
"""
pmf = pd.Series(seq).value_counts(sort=False).sort_index()
pmf /= pmf.sum()
return pmf
pmf_france = pmf_from_seq(goals_france)
pmf_france.plot.bar(color='C0', label='France')
plt.xlabel('Goals scored')
plt.ylabel('Probability')
plt.title('Predictive distribution')
plt.legend()
goals_france.mean()
2.723
This distribution represents two sources of uncertainty: we don’t know the actual value of λ, and even if we did, we would not know the number of goals in the next game.
Exercise: Generate and plot the predictive distribution for Croatia.
# Solution goes here
In a sense, these distributions represent the outcomes of 1000 simulated games.
Exercise: Compute the fraction of simulated rematches Croatia would win, how many France would win, and how many would end in a tie.
# Solution goes here
# Solution goes here
# Solution goes here
Assuming that Croatia wins half of the ties, their chance of winning the rematch is about 33%.
Summary¶
In this notebook, we finished off the World Cup problem:
We used posterior distributions to generate samples of goal-scoring rates.
We compared samples to compute a “probability of superiority”.
We used samples and
np.random.poisson
to generate samples of goals score and to estimate their distributions.We used those distributions to compute the probabilities of winning, losing, and tying in a rematch.
The goal distributions we computed are called “posterior predictive distributions” because they use posterior distribution to make predictions.
In the next notebook we’ll take a break from Bayesian methods and learn about an important idea in probability: joint distributions.
But first, here’s an exercise where you can practice what you learned in this notebook.
Exercise¶
Exercise: Here’s a variation on the World Cup Problem:
In the 2014 FIFA World Cup, Germany played Brazil in a semifinal match. Germany scored after 11 minutes and again at the 23 minute mark. At that point in the match, how many goals would you expect Germany to score after 90 minutes? What was the probability that they would score 5 more goals (as, in fact, they did)?
In this version, notice that the data is not the number of goals in a fixed period of time, but the time between goals.
To compute the likelihood of data like this, we can take advantage of the theory of Poisson processes. In our model of a soccer game, we assume that each team has a goal-scoring rate, λ, in goals per game. And we assume that λ is constant, so the chance of scoring a goal in the same at any moment of the game.
Under these assumptions, the distribution of goals follows a Poisson distribution, as we’ve already seen. Also, the time between goals follows an exponential distribution.
If the goal-scoring rate is λ, the probability of seeing an interval between goals of \(t\) is proportional to the PDF of the exponential distribution:
\(f(t; λ) = λ~\exp(-λ t)\)
Because \(t\) is a continuous quantity, the value of this expression is not really a probability; technically it is a probability density. However, it is proportional to the probability of the data, so we can use it as a likelihood in a Bayesian update.
To see what the exponential distribution looks like, let’s assume again that λ is 1.4; we can compute the distribution of \(t\) like this:
def expo_pdf(t, λ):
"""Compute the PDF of the exponential distribution.
t: time
λ: rate
returns: probability density
"""
return λ * np.exp(-λ * t)
λ = 1.4
ts = np.linspace(0, 4, 101)
ys = expo_pdf(ts, λ)
pmf_time = pd.Series(ys, index=ts)
pmf_time /= pmf_time.sum()
pmf_time.plot(label='λ = 1.4')
plt.xlabel('Time between goals (games)')
plt.ylabel('Probability')
plt.title('Distribution of time between goals')
plt.legend();
It is counterintuitive, but true, that the most likely time to score a goal is immediately. After that, the probability of each possible interval is a little lower.
With a goal-scoring rate of 1.4, it is possible that a team will take more than one game to score a goal, but it is unlikely that they will take more than two games.
Now we’re ready to solve the problem. Here are the steps I recommend:
Starting with the same gamma prior we used in the previous problem, compute the likelihood of scoring a goal after 11 minutes for each possible value of λ. Don’t forget to convert all times into units of games.
Use
bayes_update
to compute the posterior distribution of λ for Germany after the first goal. If the total probability of the data is greater than 1, don’t panic; because the likelihoods are not probabilities, the return value frombayes_update
is not a probability either. But the posterior distribution is still valid.Compute the likelihood of scoring another goal after 12 more minutes and do another update. Plot the prior, posterior after one goal, and posterior after two goals.
Use
pmf_choice
to generate a sample of 1000 values from the posterior distribution of goal scoring rate.Use
np.random.poisson
to compute a sample of goals Germany might score during the remaining time in the game,90-23
minutes. Note: you will have to think about how to generate predicted goals for a fraction of a game.Compute and plot the PMF of possible goals scored and select from it the probability of scoring 5 more goals.
# Solution goes here
# Solution goes here
# Solution goes here
# Solution goes here
# Solution goes here
# Solution goes here
# Solution goes here
# Solution goes here
# Solution goes here
# Solution goes here
# Solution goes here


Userclient name is required.
Userclient email is required.
Userclient Country is required.
Userclient Developed Project is required.
Userclient Comment is required.


USD/JPY Technical Analysis: 109.00 target hit - 110.00 handle is next on the bulls’ radar
by Flavio Tosti- USD/JPY is ending the first day of the week near the 109.00 handle.
- The level to beat for bulls is the 109.01 resistance.
USD/JPY daily chart
USD/JPY is flirting with the 109.00 handle while testing the 200-day simple moving average (DMA) on the daily chart. In the last three months, the market has been gaining strength. As mentioned last Wednesday, USD/JPY is about to hit the 109.00 handle.
USD/JPY four-hour chart
USD/JPY is about to challenge the 109.01 level while trading above the main SMAs. A break above the level can drive the market towards 109.46 level and the 109.92/110.00 resistance zone, according to the Technical Confluences Indicator.
USD/JPY 30-minute chart
USD/JPY is climbing up above the main SMAs on the 30-minute chart. Support is seen at the 108.66/78 zone and 108.33 level, according to the Technical Confluences Indicator.
Additional key levels
USD/JPY
| Overview | |
|---|---|
| Today last price | 108.97 |
| Today Daily Change | 0.34 |
| Today Daily Change % | 0.31 |
| Today daily open | 108.63 |
| Trends | |
|---|---|
| Daily SMA20 | 108.76 |
| Daily SMA50 | 108.29 |
| Daily SMA100 | 107.72 |
| Daily SMA200 | 108.96 |
| Levels | |
|---|---|
| Previous Daily High | 108.73 |
| Previous Daily Low | 108.47 |
| Previous Weekly High | 109.08 |
| Previous Weekly Low | 108.28 |
| Previous Monthly High | 109.29 |
| Previous Monthly Low | 106.48 |
| Daily Fibonacci 38.2% | 108.63 |
| Daily Fibonacci 61.8% | 108.57 |
| Daily Pivot Point S1 | 108.49 |
| Daily Pivot Point S2 | 108.35 |
| Daily Pivot Point S3 | 108.23 |
| Daily Pivot Point R1 | 108.75 |
| Daily Pivot Point R2 | 108.87 |
| Daily Pivot Point R3 | 109.01 |


|
nrf51AdvLogger
1.0
|
GPIO pin abstraction and port abstraction for reading and writing byte-wise to GPIO ports. More...
Files | |
| file | nrf_gpio.h |
| GPIO driver for nrf51822 SoC. | |
Enumerations | |
| enum | nrf_gpio_port_dir_t { NRF_GPIO_PORT_DIR_OUTPUT, NRF_GPIO_PORT_DIR_INPUT } |
| Enumerator used for setting the direction of a GPIO port. More... | |
| enum | nrf_gpio_pin_dir_t { NRF_GPIO_PIN_DIR_INPUT, NRF_GPIO_PIN_DIR_OUTPUT } |
| Pin direction definitions. More... | |
| enum | nrf_gpio_port_select_t { NRF_GPIO_PORT_SELECT_PORT0 = 0, NRF_GPIO_PORT_SELECT_PORT1, NRF_GPIO_PORT_SELECT_PORT2, NRF_GPIO_PORT_SELECT_PORT3 } |
| Enumerator used for selecting between port 0 - 3. More... | |
| enum | nrf_gpio_pin_pull_t { NRF_GPIO_PIN_NOPULL = GPIO_PIN_CNF_PULL_Disabled, NRF_GPIO_PIN_PULLDOWN = GPIO_PIN_CNF_PULL_Pulldown, NRF_GPIO_PIN_PULLUP = GPIO_PIN_CNF_PULL_Pullup } |
| Enumerator used for selecting the pin to be pulled down or up at the time of pin configuration. More... | |
| enum | nrf_gpio_pin_sense_t { NRF_GPIO_PIN_NOSENSE = GPIO_PIN_CNF_SENSE_Disabled, NRF_GPIO_PIN_SENSE_LOW = GPIO_PIN_CNF_SENSE_Low, NRF_GPIO_PIN_SENSE_HIGH = GPIO_PIN_CNF_SENSE_High } |
| Enumerator used for selecting the pin to sense high or low level on the pin input. More... | |
Functions | |
| static __INLINE void | nrf_gpio_range_cfg_output (uint32_t pin_range_start, uint32_t pin_range_end) |
| Function for configuring the GPIO pin range as outputs with normal drive strength. More... | |
| static __INLINE void | nrf_gpio_range_cfg_input (uint32_t pin_range_start, uint32_t pin_range_end, nrf_gpio_pin_pull_t pull_config) |
| Function for configuring the GPIO pin range as inputs with given initial value set, hiding inner details. More... | |
| static __INLINE void | nrf_gpio_cfg_output (uint32_t pin_number) |
| Function for configuring the given GPIO pin number as output with given initial value set, hiding inner details. More... | |
| static __INLINE void | nrf_gpio_cfg_input (uint32_t pin_number, nrf_gpio_pin_pull_t pull_config) |
| Function for configuring the given GPIO pin number as input with given initial value set, hiding inner details. More... | |
| static __INLINE void | nrf_gpio_cfg_sense_input (uint32_t pin_number, nrf_gpio_pin_pull_t pull_config, nrf_gpio_pin_sense_t sense_config) |
| Function for configuring the given GPIO pin number as input with given initial value set, hiding inner details. More... | |
| static __INLINE void | nrf_gpio_pin_dir_set (uint32_t pin_number, nrf_gpio_pin_dir_t direction) |
| Function for setting the direction for a GPIO pin. More... | |
| static __INLINE void | nrf_gpio_pin_set (uint32_t pin_number) |
| Function for setting a GPIO pin. More... | |
| static __INLINE void | nrf_gpio_pin_clear (uint32_t pin_number) |
| Function for clearing a GPIO pin. More... | |
| static __INLINE void | nrf_gpio_pin_toggle (uint32_t pin_number) |
| Function for toggling a GPIO pin. More... | |
| static __INLINE void | nrf_gpio_pin_write (uint32_t pin_number, uint32_t value) |
| Function for writing a value to a GPIO pin. More... | |
| static __INLINE uint32_t | nrf_gpio_pin_read (uint32_t pin_number) |
| Function for reading the input level of a GPIO pin. More... | |
| static __INLINE void | nrf_gpio_word_byte_write (volatile uint32_t *word_address, uint8_t byte_no, uint8_t value) |
| Generic function for writing a single byte of a 32 bit word at a given address. More... | |
| static __INLINE uint8_t | nrf_gpio_word_byte_read (const volatile uint32_t *word_address, uint8_t byte_no) |
| Generic function for reading a single byte of a 32 bit word at a given address. More... | |
| static __INLINE void | nrf_gpio_port_dir_set (nrf_gpio_port_select_t port, nrf_gpio_port_dir_t dir) |
| Function for setting the direction of a port. More... | |
| static __INLINE uint8_t | nrf_gpio_port_read (nrf_gpio_port_select_t port) |
| Function for reading a GPIO port. More... | |
| static __INLINE void | nrf_gpio_port_write (nrf_gpio_port_select_t port, uint8_t value) |
| Function for writing to a GPIO port. More... | |
| static __INLINE void | nrf_gpio_port_set (nrf_gpio_port_select_t port, uint8_t set_mask) |
| Function for setting individual pins on GPIO port. More... | |
| static __INLINE void | nrf_gpio_port_clear (nrf_gpio_port_select_t port, uint8_t clr_mask) |
| Function for clearing individual pins on GPIO port. More... | |
GPIO pin abstraction and port abstraction for reading and writing byte-wise to GPIO ports.
Here, the GPIO ports are defined as follows:
| enum nrf_gpio_pin_dir_t |
Pin direction definitions.
| Enumerator | |
|---|---|
| NRF_GPIO_PIN_DIR_INPUT |
Input. |
| NRF_GPIO_PIN_DIR_OUTPUT |
Output. |
Definition at line 39 of file nrf_gpio.h.
| enum nrf_gpio_pin_pull_t |
Enumerator used for selecting the pin to be pulled down or up at the time of pin configuration.
| Enumerator | |
|---|---|
| NRF_GPIO_PIN_NOPULL |
Pin pullup resistor disabled. |
| NRF_GPIO_PIN_PULLDOWN |
Pin pulldown resistor enabled. |
| NRF_GPIO_PIN_PULLUP |
Pin pullup resistor enabled. |
Definition at line 65 of file nrf_gpio.h.
| enum nrf_gpio_pin_sense_t |
Enumerator used for selecting the pin to sense high or low level on the pin input.
| Enumerator | |
|---|---|
| NRF_GPIO_PIN_NOSENSE |
Pin sense level disabled. |
| NRF_GPIO_PIN_SENSE_LOW |
Pin sense low level. |
| NRF_GPIO_PIN_SENSE_HIGH |
Pin sense high level. |
Definition at line 78 of file nrf_gpio.h.
| enum nrf_gpio_port_dir_t |
Enumerator used for setting the direction of a GPIO port.
| Enumerator | |
|---|---|
| NRF_GPIO_PORT_DIR_OUTPUT |
Output. |
| NRF_GPIO_PORT_DIR_INPUT |
Input. |
Definition at line 27 of file nrf_gpio.h.
Enumerator used for selecting between port 0 - 3.
Definition at line 51 of file nrf_gpio.h.
|
static |
Function for configuring the given GPIO pin number as input with given initial value set, hiding inner details.
This function can be used to configure pin range as simple input with gate driving GPIO_PIN_CNF_DRIVE_S0S1 (normal cases).
| pin_number | specifies the pin number of gpio pin numbers to be configured (allowed values 0-30) |
| pull_config | State of the pin range pull resistor (no pull, pulled down or pulled high) |
Definition at line 189 of file nrf_gpio.h.
Referenced by uart_init().
|
static |
Function for configuring the given GPIO pin number as output with given initial value set, hiding inner details.
This function can be used to configure pin range as simple input with gate driving GPIO_PIN_CNF_DRIVE_S0S1 (normal cases).
| pin_number | specifies the pin number of gpio pin numbers to be configured (allowed values 0-30) |
Definition at line 165 of file nrf_gpio.h.
Referenced by leds_init(), and uart_init().
|
static |
Function for configuring the given GPIO pin number as input with given initial value set, hiding inner details.
This function can be used to configure pin range as simple input with gate driving GPIO_PIN_CNF_DRIVE_S0S1 (normal cases). Sense capability on the pin is configurable, and input is connected to buffer so that the GPIO->IN register is readable.
| pin_number | specifies the pin number of gpio pin numbers to be configured (allowed values 0-30). |
| pull_config | state of the pin pull resistor (no pull, pulled down or pulled high). |
| sense_config | sense level of the pin (no sense, sense low or sense high). |
Definition at line 216 of file nrf_gpio.h.
|
static |
Function for clearing a GPIO pin.
Note that the pin must be configured as an output for this function to have any effect.
| pin_number | specifies the pin number [0:31] to clear. |
Definition at line 292 of file nrf_gpio.h.
Referenced by leds_on(), and nrf_gpio_pin_write().
|
static |
Function for setting the direction for a GPIO pin.
| pin_number | specifies the pin number [0:31] for which to set the direction. |
| direction | specifies the direction |
Definition at line 238 of file nrf_gpio.h.
References NRF_GPIO_PIN_DIR_INPUT.
|
static |
Function for reading the input level of a GPIO pin.
Note that the pin must have input connected for the value returned from this function to be valid.
| pin_number | specifies the pin number [0:31] to read. |
| 0 | if the pin input level is low. |
| 1 | if the pin input level is high. |
| > | 1 should never occur. |
Definition at line 367 of file nrf_gpio.h.
|
static |
Function for setting a GPIO pin.
Note that the pin must be configured as an output for this function to have any effect.
| pin_number | specifies the pin number [0:31] to set. |
Definition at line 275 of file nrf_gpio.h.
Referenced by leds_init(), leds_off(), and nrf_gpio_pin_write().
|
static |
Function for toggling a GPIO pin.
Note that the pin must be configured as an output for this function to have any effect.
| pin_number | specifies the pin number [0:31] to toggle. |
Definition at line 309 of file nrf_gpio.h.
Referenced by leds_toggle().
|
static |
Function for writing a value to a GPIO pin.
Note that the pin must be configured as an output for this function to have any effect.
| pin_number | specifies the pin number [0:31] to write. |
| value | specifies the value to be written to the pin.
|
Definition at line 330 of file nrf_gpio.h.
References nrf_gpio_pin_clear(), and nrf_gpio_pin_set().
|
static |
Function for clearing individual pins on GPIO port.
| port | is the port for which to clear the pins. |
| clr_mask | is a mask specifying which pins to clear. A bit set to 1 indicates that the corresponding port pin shall be cleared. |
Definition at line 515 of file nrf_gpio.h.
References nrf_gpio_word_byte_write().
|
static |
Function for setting the direction of a port.
| port | is the port for which to set the direction. |
| dir | direction to be set for this port. |
Definition at line 428 of file nrf_gpio.h.
References NRF_GPIO_PIN_NOPULL, NRF_GPIO_PORT_DIR_OUTPUT, nrf_gpio_range_cfg_input(), and nrf_gpio_word_byte_write().
|
static |
Function for reading a GPIO port.
| port | is the port to read. |
Definition at line 459 of file nrf_gpio.h.
References nrf_gpio_word_byte_read().
|
static |
Function for setting individual pins on GPIO port.
| port | is the port for which to set the pins. |
| set_mask | is a mask specifying which pins to set. A bit set to 1 indicates that the corresponding port pin shall be set. |
Definition at line 496 of file nrf_gpio.h.
References nrf_gpio_word_byte_write().
|
static |
Function for writing to a GPIO port.
| port | is the port to write. |
| value | is the value to write to this port. |
Definition at line 477 of file nrf_gpio.h.
References nrf_gpio_word_byte_write().
|
static |
Function for configuring the GPIO pin range as inputs with given initial value set, hiding inner details.
This function can be used to configure pin range as simple input.
| pin_range_start | specifies the start number (inclusive) in the range of pin numbers to be configured (allowed values 0-30) |
| pin_range_end | specifies the end number (inclusive) in the range of pin numbers to be configured (allowed values 0-30) |
| pull_config | State of the pin range pull resistor (no pull, pulled down or pulled high) |
Definition at line 133 of file nrf_gpio.h.
Referenced by nrf_gpio_port_dir_set().
|
static |
Function for configuring the GPIO pin range as outputs with normal drive strength.
This function can be used to configure pin range as simple output with gate driving GPIO_PIN_CNF_DRIVE_S0S1 (normal cases).
| pin_range_start | specifies the start number (inclusive) in the range of pin numbers to be configured (allowed values 0-30) |
| pin_range_end | specifies the end number (inclusive) in the range of pin numbers to be configured (allowed values 0-30) |
Definition at line 99 of file nrf_gpio.h.
|
static |
Generic function for reading a single byte of a 32 bit word at a given address.
This function should not be called from outside the nrf_gpio abstraction layer.
| word_address | is the address of the word to be read. |
| byte_no | is the the byte number (0-3) of the word to be read. |
Definition at line 412 of file nrf_gpio.h.
Referenced by nrf_gpio_port_read().
|
static |
Generic function for writing a single byte of a 32 bit word at a given address.
This function should not be called from outside the nrf_gpio abstraction layer.
| word_address | is the address of the word to be written. |
| byte_no | is the the word byte number (0-3) to be written. |
| value | is the value to be written to byte "byte_no" of word at address "word_address" |
Definition at line 390 of file nrf_gpio.h.
Referenced by nrf_gpio_port_clear(), nrf_gpio_port_dir_set(), nrf_gpio_port_set(), and nrf_gpio_port_write().


The exchange rate is given by:
36 points = 1 US $.
Your total earnings in US$ are therefore = {{ total_cash_payoff }}.
Your cash payoff (total earnings in US$ + participation fee of $4) = {{ participant.payoff_plus_participation_fee }}.
{% endblock %}


Volkswagen ID. Space Vizzion Concept Teased As Future Electric Wagon
The company says a production version is coming to some markets in late 2021.
by Chris BruceThe Volkswagen ID. Space Vizzion is the oddly named latest entry in the brand's family of electric vehicle concepts. It debuts at the upcoming Los Angeles Auto Show on November 19.
Gallery: Volkswagen I.D. Space Vizzion Concept
The Space Vizzion appears to be a five-door wagon, VW doesn't want you to think of it as an estate. Instead, the firm prefers referring to this shape as a new take on a crossover with cues from a grand tourer but SUV-like utility.
"So far, with our ID. family, we have shown what is possible with electric vehicles in each known car category,” Klaus Bischoff, Head of Volkswagen Design, said in the release of these teaser images. "With the ID. Space Vizzion we create a new, fully electric segment."
VW's teaser only offers two images of the cabin, and they show four captain's chairs with a long center console running separating them. There's a digital cockpit with a skinny display in front of the driver and a much larger screen on the center console. The upholstery uses the material AppleSkin – a type of vegan leather.
The First ID. Models To Hit The Road:
Like the other ID. concepts, the Space Vizzion rides on VW's Modular Electric Drive Matrix that's specifically for future EVs. The company claims that this model would have a 300-mile (483-kilometer) range.
VW indicates that a production version of the Space Vizzion concept is coming in late 2021. It might not look quite like what's on display in LA because the company plans to offer "different versions for North America, Europe, and China."
The ID.3 three-door hatchback will be the first model of this EV lineup to go on sale but won't be available in the United States. Instead, Americans will get the ID.4 crossover possibly as soon as late 2020.
Source: Volkswagen
Show press release
The Volkswagen ID.
ID. SPACE VIZZION CONCEPT TO BE UNVEILED DURING LA AUTO SHOW WEEK
Nov 7, 2019
ID. SPACE VIZZION crossover concept combines zero emissions with maximum versatility
Aerodynamic exterior design helps reach range of up to 300 miles
Seventh member of the ID. family of concepts
Herndon, VA — Volkswagen will debut the ID. SPACE VIZZION to the world on the eve of the Los Angeles Auto Show on November 19, 2019—a zero-emissions vehicle for a new era, new thinking and new mobility. The ID. SPACE VIZZION is a crossover of tomorrow that combines the aerodynamic characteristics of a Gran Turismo with the spaciousness of an SUV. Stylistically, the ID. SPACE VIZZION follows the design DNA of the ID. family, yet has a completely independent and progressive character.
“So far, with our ID. family, we have shown what is possible with electric vehicles in each known car category,” said Klaus Bischoff, Head of Volkswagen Design. “With the ID. SPACE VIZZION we create a new, fully electric segment.”
The ID. SPACE VIZZION is based on Volkswagen’s Modular Electric Drive Matrix (MEB). The MEB fully exploits the technical possibilities of e-mobility and guarantees long ranges, dynamic driving performance and a whole new level of digital networking.
When it comes to the design, the front and roof sections are particularly precise, with openings for the airstream for aerodynamically optimized design. Thanks to the efficiency of the drive system and impressive aerodynamics, the ID. SPACE VIZZION has a range of up to 300 miles (EPA).
Inside, the concept defines a completely new paradigm of intuitive usability with its completely digitized cockpit. The materials are consistently made from sustainable raw materials, such as the new AppleSkin—a vegan alternative to leather.
The ID. SPACE VIZZION is a concept for the future, but is not a dream. The production version will be released in late 2021, and will come in different versions for North America, Europe and China.


V-Family Landscape Maintenance, LLC is all about our customers. We design your lawn, yard, or land the way you want it. The owner of the business has been doing landscape for 22 years and is well experienced. So we will make sure your place is #1 for best landscape. Not only do we do landscape we do many other things too so make sure you check out the other services we provide. We also do Residential and Commercial landscape. And when you meet us we make our prices adjustable just for you. We just want to make sure that you get your money's worth. We are here to give you what your looking for.
Our experienced team will help you design or maintain your landscape.
Need new grass planted? We'll have your lawn looking fresh in no time.
Our well trained team will cut, trim and hedge your lawn. We will also remove the weeds from your lawn.
Sprinkler and water pressure checking is another of the services our team provides upon request.


ttyflush/0
ttyflush/0 – forces all buffered output to the screen
FORMS
ttyflush
DESCRIPTION
ttyflush/0 is used to make sure that output from tty I/O predicates appears on the
screen when you want it to. Screen output is normally flushed whenever Prolog is
waiting on some I/O operation. Typically, the I/O operation that is waited on is
some form of tty read. In this case, you don’t have to use ttyflush.
A long computation, while causing you to wait for a response, does not qualify
as an I/O operation, so any output predicates that were run before the CPU hog
started, might not show their output on the screen until the long computation
is finished. To combat this problem, ttyflush/0 can be used before entering into the long computation section of your
program.
EXAMPLES
If we define the following useless predicate:
infiniteLoop :- infiniteLoop.
and then try to write something to the screen before running it:
?- printf("April Fool’s Day"), infiniteLoop.
April Fool's Day Break Handler
------------------------
a - Abort Computation
b - Break shell
c - Continue
d - Debug
e - Exit Prolog
f - Fail
p - Return to Previous Break Level
s - Show goal broken at
t - Stack trace
? - This message
Break(1) >a
Warning: Aborting from Control-C or Control-Break.
Error: Execution aborted.
we find that the output doesn’t appear until the Control-C is pressed. We can avoid this problem by putting a call to ttyflush/0 after the message printing predicate. The following example shows the result:
?- printf("April Fool’s Day"), ttyflush, infiniteLoop.
April Fool's Day Break Handler
------------------------
a - Abort Computation
b - Break shell
c - Continue
d - Debug
e - Exit Prolog
f - Fail
p - Return to Previous Break Level
s - Show goal broken at
t - Stack trace
? - This message
Break(1) >a
Warning: Aborting from Control-C or Control-Break.
Error: Execution aborted.
NOTES
The ISO Standard mandates that flush_output/[0,1] is preferred over ttyflush/0.
SEE ALSO
printf/1, write/1, put/1, flush_output/[0,1].


I am about to join the OEM family as I have just had a PV array installed. I was initially very keen on the MK2PVRouter by Robin as I could see the benefit of using as much of my generated power as possible.
However here in NZ I am on a tariff that gives me 25c/kWh for the first 150kW/month I export back into the grid. Anything over 150kWh/month yields 10c/kWh.
Added to that, from 9pm till 7am I only pay 13.5c/kWh for anything I import. My day rates are about 33c/kWh.
So currently I only heat my HWC from 4am-6am and assuming it has to run for the full 2 hours, and is a 3kW heater, then I am looking at 6kWh costing me 81c. If I decided to use a PV router I would be forfeiting $1.50 worth of buy-back tariff by NOT exporting that same power.
Just want to make sure I am not missing anything here! It seems to me I would be better off exporting as much as I can (up to 150kWh/month) and remain heating my HWC at night when the rates are much cheaper?
Once I move past that 150kWh/month threshold then I am better off diverting, but it remains to be seen how much I will be generating.
Of course there is no guarantee these tariffs will remain, so a PV diverter may well become necessary in the future. But I am wondering if I am better off just starting off with a simple EmonTX and a PV monitoring configuration?
Interested to hear any of your expert opinions on this. I presume these sorts of tariffs are not the norm for the rest of you?
Re: Solar PV Diversion - not worth it in my case?
The PV Router is based on UK practice, which pays a tariff based on the energy generated (not just the energy exported), and the rate paid for exported energy is lower than is paid for imported. So, until the rules change, it's clearly advantageous to divert.
In your case, if you read and interpreted the rules correctly, it looks as if it won't pay you - as you say until you export above 150 kWh/month and need a top-up during the day.
I understand in some places, exporting energy is penalised, then it's essential to divert all possible energy that would otherwise be exported.
Re: Solar PV Diversion - not worth it in my case?
I think I would be looking at how much you divert each month and then if you are going over the 150kWh doing a modification to one of Robins sketches so it will automatically divert to your immersion once you've reached the magic 150kWh.
Of course you could just manually turn the diverter on with a changeover switch.
Re: Solar PV Diversion - not worth it in my case?
As long as the system isn't ever turned off, a Mk2 Router should indeed be able to stand idly by as the first 150 kWh is exported, and then spring into action thereafter.
Making this kind of change to the control mechanism would not be particularly difficult, the tricky part is deciding exactly how the logic should operate. It all depends on the particular circumstances in which it will be operating. The 'month' as known to the meter would presumably need to be made known to the Router in some way. Getting everything synchronised could be tricky ...
For a NZ customer, I've already supplied a variant which automatically tops up the diverted total to a pre-set amount each night. This means that free surplus power is used by day, but there should always be hot water for the morning shower.
Re: Solar PV Diversion - not worth it in my case?
Thanks guys - appreciate the feedback. My current thinking is to modify your script Robin and do the following;
1. Add an ethernet shield to the PV router Arduino and add MQTT support. I would prefer to use ethernet IO rather than RF wherever possible.
2. Add handling to the router sketch to support enabling/disabling via MQTT publishes. Already have a few Arduinos around the house with this sort of setup controlling various systems (i.e. central heating, monitoring security systems)
3. Send reports (via MQTT) of import/export and PV generation totals
4. Move all the logic for keeping track of monthly generation and making decisions as to when to enable diversion and/or manual dump load switching, into openHAB.
So I will need two CT clamps, one for measuring PV generation, and one for measuring import/export - as I have a Type 2 system. With these I can begin sending usage reports to openHAB via MQTT. openHAB has its own persistence bindings so I can store timeseries data.
The router will then have 3 modes;
a) Off - no diversion and dump load OFF
b) Diverting - diversion enabled, dump load only ON if excess power being generated
c) ON - no diversion, but dump load ON
openHAB will make decisions as to which mode it should be running and update via MQTT messages. So at the start of each billing month the router will be switched to mode (a). Then once I hit that magic 150kW of exported power it will be switched to mode (b).
I will also add temperature monitoring to my HWC, via another Arduino since the HWC is in a different location to the distribution board. This will allow me to boost the HWC (via mode (c)) if the water temp is below 55 at 4am. I.e. to ensure there is hot water for the morning shower.
This should hopefully reduce the complexity of the logic in the PV Router - it just has to handle the 3 modes.
Is there anything in there you think I am missing or not considering?
There is the added complexity of the solar evacuated tubes controller - I could either replace this with another Arduino which controls the circulating pump and uses the same set of temperature readings I am using above to make decisions about when to pump etc. But I quite like the idea of that controller remaining stand alone - since it works well and means if I have any issues with my Arduinos my solar hot water will continue to function.
Perhaps I just disconnect it and make it easy to reconnect if there are any issues, i.e. as a backup system?
Getting quite excited about all this!
Re: Solar PV Diversion - not worth it in my case?
OK Ben, if you need any Mk2-type hardware, I'd be happy to supply same. There seems to be no shortage of possibilities as to how you could use it!
There's quite an active 'Mk2' community now in NZ, so there should be several like-minded thinkers that you can exchange ideas with.
Send me a PM if you need any introductions :)
Re: Solar PV Diversion - not worth it in my case?
Hi Ben, I'm in Rotorua and have 4.5kw PV. I'm with Meridian Energy and have similar tariffs to you. I try to export as much as possible. Meridian read my meter every 2 months so the 150kwh per month at 25c kwh is averaged over 2 months. I'm curious where you are and what plan you're on to have "from 9pm till 7am I only pay 13.5c/kWh for anything I import. My day rates are about 33c/kWh"
I have an emontxv3 and are waiting for a raspberry pi to arrive from RS. Only monitoring I have at present is a Uno with RFM12b controlling and RGB LED to show import/export status.
Norm
Re: Solar PV Diversion - not worth it in my case?
Hey Norm,
I am down in ChCh. Meridian have a day/night tariff down here which I am on, and then the same export tariff you are probably on - I get billed monthly and the 5kWh per day is averaged over the whole month - so I can export 1kWh on day 1, and 9kWh on day two, and still get a full credit for 10kWh for those two days - sounds the same as you.
I have just received my Arduino EmonTX shield - I would have preferred the EmonTx v3 but I want to publish my data over MQTT/Ethernet and eliminate RF so needed to build my own Arduino sketch using the EmonTx shield. Still in the process of installing everything but so far it is working ok.
My goal is to export as much as I can each month, until I hit 150kWh, and then try to use as much as I can. Still not sure the best way to achieve this, but I am thinking probably one of Robins remote load modules directly wired to my custom Ardunio EmonTx.
Are you using EmonCMS yet? I guess not, until you receive your Pi?
Seems like there are quite a few Kiwis floating around on this forum...
Re: Solar PV Diversion - not worth it in my case?
Hi Ben,
I'll have to check out the Meridian day/night tariff again. Last time I looked it was not attractive. I'm aware tariffs are not the same nationwide. Might be more attractive now that I have a heatpump.
 I wasn't happy at the time to loose the smart meters monitoring. I manually recorded the import/export meters registers daily for a while until I had enough! Hence the attraction to OEM. In hind site Meridian did me a favor because my import/export is now averaged over 2 months.
Ultimately I would like to host emoncms on a Pi locally, post to emoncms.org and add consumption data to PVOutput http://pvoutput.org/list.jsp?userid=24408 I've had PVOutput posting since the day I got my solar up and running and find it very useful. Use of excess PV power in summer would also be interesting. I exported around double what I imported last summer.
The microSD arrived today for my Pi, I've transferred the emoncms image. Can't wait to actually get the Pi! I actually received a ENC28J60 Ethernet module (from China) yesterday because I was going to go the Arduino base route. Have since decided I go with the Pi instead.
I've had and Arduino Uno with Ethernet shield posting temp and barometric pressure data to emoncms.org. Worked really well. Was going to add the RFM12B to this until I discovered the issues with the RFM12B and W5100 Ethernet shield. This is why I ordered the ENC28J60 Ethernet module. Then I thought for the price I'll order a Model B+ Pi and connect the Uno RFM12B combo to it. Hope to get this up and running any day now.
Great to meet another kiwi!
I've been lurking around OEM for a while but only signed up when I purchased the emontxv3 a couple of weeks ago.
One question for anyone that knows: are the features of emoncms.org the same as a local install?
Norm
Re: Solar PV Diversion - not worth it in my case?
Hey Norm,
Never came across PVOutput before - what does that give you that EmonCMS doesn't?
I think my import/export meter is still 'smart', since I get the day/night tariffs, but I am pretty sure they only count up the export kWh for the whole month and pay 25c for the first 150kWh, 10c after. I have only had my PV array installed for a month so I guess I will find out when I get my first bill.
I am hosting EmonCMS locally on my home server (Ubuntu) and it seems to have all the features available on the hosted site. But someone more educated can probably give you a more definitive answer.
Good luck with your project!
Ben
Re: Solar PV Diversion - not worth it in my case?
Hi Ben,
Just compared power pricing in Rotorua vs Christchurch. So much cheaper down south!
If your meter is smart, you should be able to view your import/export data on the Meridian website. I could view consumption until Meridian replaced my meter with a dumb one.
PVOutput is an Australian site and is great for comparing PV systems locally or worldwide. Just down loaded their API for my Enasolar inverter and away it went. Hope to recreate the PVOutput posting in Python on the Raspberry Pi I plan to run EmonCMS on.
I had a go getting EmonCMS running on Ubuntu. Failed. Plan was to use an old netbook running EmonCMS with an Arduino providing the data. I'll have another go with the pre built Raspberry Pi image.
All a great learning experience!
Norm
Re: Solar PV Diversion - not worth it in my case?
Indeed - so how does the Enasolar (that is the inverter I am using too) interface with the PVOutput API - is there a process you run which queries the Enasolar HTTP server and then transforms/uploads to the PVOutput server?
Re: Solar PV Diversion - not worth it in my case?
Hi Ben,
I have the PVOutput API running on Windows. From memory all you do is configure the PVOutput .ini file with Inverter IP, PVOutput account write key and you're away. The API must query the inverter's log file using HTTP. There is info on the Enasolar website about extracting the logs. PVOutput has a nice Android app and widget.
The Rasberry Pi arrived today, daughter was very disappointed! She thought the box was cool though! I'll get to work connecting the arduino and forwarder to EmonCMS.
Norm


Untitled application Application team
View and manage your contributors or collaborators in the application. If an individual is 'pending' they have not yet joined the application.
Read the guidance on how collaboration in the Innovation Funding Service works (this link will open in a new window).
To change the lead applicant please email Innovate UK<EMAIL_ADDRESS>Empire Ltd (Lead)
Organisation type
Business
| Applicant | Additional details | |
|---|---|---|
| Steve Smith |<EMAIL_ADDRESS>| Lead |
Update and add contributors from Empire Ltd
Add any organisations participating with you on this project. They are responsible for creating their own account and submitting their finances.
Add a collaborator organisation
Return to application overview
Need help with this service? Contact us


FAERS OUTCOME CLASSIFICATION
A web-based interactive system for adverse drug reaction (ADR) detection and analysis.
FAERS
The FDA Adverse Event Reporting System is a database that contains information on adverse event and medication error reports submitted to FDA.The FDA produces FDA Adverse Event Reporting System (FAERS) quarterly data. The FAERS include the following:
demographic and administrative information and the initial report image ID number:
- drug information from the case reports.
- reaction information from the reports.
- patient outcome information from the reports.
FDA PERSON / HEALTH PROFESSIONAL
This application is for the use of FDA Officer or any Health Care Professional who can login to the system and check whether the drug reaction reported is causing any harmful effects on public. Also, it predicts the
probability of the outcome based on the drug reaction reported.
USER
Normal Public can also use this website to check the reaction associated with the drugs which were reported to the FDA over the past few years and make sure that the given prescribed drug is causing any major harm to health or not.


Our 2015 Knight-Mozilla Fellows will work from seven newsrooms around the world. Find out more.
Read all our news in our OpenNews feed
Read more at Source or subscribe to the Source feed


WITNESS LIST Corrections Committee April 8, 2003-8:00A HB 1668 On: Garrett, Gerald (TX Board of Pardons and Paroles) Registering, but not testifying: For: Clements, Dianne (Justice For All) Deitch, Michelle (Self) Yanez-Correa, Ana (Texas LULAC) HB 1715 For: De Luca, Stuart (TIFA, Inc. (Tex. Inmate Families Assn.)) On: Brown, Lynn (Self) Collier, Bryan (TDCJ) Reyna, Filbert (Bert) (Self) Registering, but not testifying: For: Deitch, Michelle (Self) Joblin, Elizabeth (TIFA, Inc.) HB 2727 For: Hubbarth, Rusty (Self and Justice For All) Kahan, Andy (Mayor's Crime Victims Office) On: De Luca, Stuart (TIFA, Inc. (Tex. Inmate Families Assn.)) Garrett, Gerald (TX Board of Pardons and Paroles) Reynolds, Carl (Texas Department of Criminal Justice) Registering, but not testifying: For: Clements, Dianne (Self) HB 2728 For: Hubbarth, Rusty (Self and Justice For All) Kahan, Andy (Mayor's Crime Victims Office) On: Collier, Bryan (TDCJ) Registering, but not testifying: For: Clements, Dianne (Justice For All) Tauss, Cynthia (Self) Against: De Luca, Stuart (TIFA, Inc. (Tex. Inmate Families Assn.)) Pierce, Kimberly (Travis County Commissioners Court) HB 2892 Registering, but not testifying: For: Gaylor, Tom (Texas Municipal Police Association) HB 2895 On: Nichols, Neil (Texas Youth Council) Robinson, Steve (Texas Youth Commission) HB 2896 On: Collier, Bryan (TDCJ - Parole Division) Garrett, Gerald (TX Board of Pardons and Paroles) Registering, but not testifying: For: De Luca, Stuart (TIFA, Inc. (Tex. Inmate Families Assn.)) Joblin, Elizabeth (TIFA, Inc.) HB 2928 For: De Luca, Stuart (TIFA, Inc. (Tex. Inmate Families Assn.)) Registering, but not testifying: For: Joblin, Elizabeth (TIFA) HB 3335 On: Collier, Bryan (TDCJ) Hottle, Keith (Board of Pardons and Paroles) Registering, but not testifying: For: White, Sheriff Mike (Sheriff Ass. of Texas and Orange County Sheriffs Office)


FrEIA
from . import InvertibleModule from copy import deepcopy from typing import Sequence, Union import torch [docs]class Split(InvertibleModule): """Invertible split operation. Splits the incoming tensor along the given dimension, and returns a list of separate output tensors. The inverse is the corresponding merge operation. Attributes: dims_in: A list of tuples containing the non-batch dimensionality of all incoming tensors. Handled automatically during compute graph setup. Split only takes one input tensor. section_sizes: If set, takes precedence over 'n_sections' and behaves like the argument in torch.split(), except when a list of section sizes is given that doesn't add up to the size of 'dim', an additional split section is created to take the slack. Defaults to None. n_sections: If 'section_sizes' is None, the tensor is split into 'n_sections' parts of equal size or close to it. This mode behaves like numpy.array_split(). Defaults to 2, i.e. splitting the data into two equal halves. dim: Index of the dimension along which to split, not counting the batch dimension. Defaults to 0, i.e. the channel dimension in structured data. """ [docs] def __init__(self, dims_in: Sequence[Sequence[int]], section_sizes: Union[int, Sequence[int]] = None, n_sections: int = 2, dim: int = 0, ): """Inits the Split module with the attributes described above and checks that split sizes and dimensionality are compatible.""" super().__init__(dims_in) # Size and dimensionality checks assert len(dims_in) == 1, "Split layer takes exactly one input tensor" assert len(dims_in[0]) >= dim, "Split dimension index out of range" self.dim = dim l_dim = dims_in[0][dim] if section_sizes is None: assert 2 <= n_sections, "'n_sections' must be a least 2" if l_dim % n_sections != 0: warnings.warn('Split will create sections of unequal size') self.split_size_or_sections = ( [l_dim//n_sections + 1] * (l_dim%n_sections) + [l_dim//n_sections] * (n_sections - l_dim%n_sections)) else: if isinstance(section_sizes, int): assert section_sizes < l_dim, "'section_sizes' too large" else: assert isinstance(section_sizes, (list, tuple)), \ "'section_sizes' must be either int or list/tuple of int" assert sum(section_sizes) <= l_dim, "'section_sizes' too large" if sum(section_sizes) < l_dim: warnings.warn("'section_sizes' too small, adding additional section") section_sizes = list(section_sizes).append(l_dim - sum(section_sizes)) self.split_size_or_sections = section_sizes [docs] def forward(self, x, rev=False, jac=True): """See super class InvertibleModule. Jacobian log-det of splitting is always zero.""" if rev: return [torch.cat(x, dim=self.dim+1)], 0 else: return torch.split(x[0], self.split_size_or_sections, dim=self.dim+1), 0 [docs] def output_dims(self, input_dims): """See super class InvertibleModule.""" assert len(input_dims) == 1, "Split layer takes exactly one input tensor" # Assemble dims of all resulting outputs return [tuple(input_dims[0][j] if (j != self.dim) else section_size for j in range(len(input_dims[0]))) for section_size in self.split_size_or_sections] [docs]class Concat(InvertibleModule): """Invertible merge operation. Concatenates a list of incoming tensors along a given dimension and passes on the result. Inverse is the corresponding split operation. Attributes: dims_in: A list of tuples containing the non-batch dimensionality of all incoming tensors. Handled automatically during compute graph setup. Dimensionality of incoming tensors must be identical, except in the merge dimension `dim`. Concat only makes sense with multiple input tensors. dim: Index of the dimension along which to concatenate, not counting the batch dimension. Defaults to 0, i.e. the channel dimension in structured data. """ [docs] def __init__(self, dims_in: Sequence[Sequence[int]], dim: int = 0, ): """Inits the Concat module with the attributes described above and checks that all dimensions are compatible.""" super().__init__(dims_in) assert len(dims_in) > 1, ("Concatenation only makes sense for " "multiple inputs") assert len(dims_in[0]) >= dim, "Merge dimension index out of range" assert all(len(dims_in[i]) == len(dims_in[0]) for i in range(len(dims_in))), ( "All input tensors must have same number of " "dimensions" ) assert all(dims_in[i][j] == dims_in[0][j] for i in range(len(dims_in)) for j in range(len(dims_in[i])) if j != dim), ( "All input tensor dimensions except merge " "dimension must be identical" ) self.dim = dim self.split_size_or_sections = [dims_in[i][dim] for i in range(len(dims_in))] [docs] def forward(self, x, rev=False, jac=True): """See super class InvertibleModule. Jacobian log-det of concatenation is always zero.""" if rev: return torch.split(x[0], self.split_size_or_sections, dim=self.dim+1), 0 else: return [torch.cat(x, dim=self.dim+1)], 0 [docs] def output_dims(self, input_dims): """See super class InvertibleModule.""" assert len(input_dims) > 1, ("Concatenation only makes sense for " "multiple inputs") output_dims = deepcopy(list(input_dims[0])) output_dims[self.dim] = sum(input_dim[self.dim] for input_dim in input_dims) return [tuple(output_dims)] import warnings def _deprecated_by(orig_class): class deprecated_class(orig_class): def __init__(self, *args, **kwargs): warnings.warn(F"{self.__class__.__name__} is deprecated and will be removed in the public release. " F"Use {orig_class.__name__} instead.", DeprecationWarning) super().__init__(*args, **kwargs) return deprecated_class channel_split_layer = _deprecated_by(Split) split_layer = _deprecated_by(Split) Split1D = _deprecated_by(Split) SplitChannel = _deprecated_by(Split) channel_merge_layer = _deprecated_by(Concat) cat_layer = _deprecated_by(Concat) Concat1d = _deprecated_by(Concat) ConcatChannel = _deprecated_by(Concat)


Dai Minh Trading, Service and Tourism Company Limited established in April 2004 in Hanoi. The company is proud to serve travelers and investors in the last 15 years, and aims to become the leading Destination Management Company in Vietnam, continues the mission to provide quality services: domestic and international air tickets; package tours, tailor-made tours; domestic and international golf tours; provides visa services and travel insurance; etc. We have perfected the technical infrastructure to best serve our customers on the basis of digital applications - Online Service. The core value of the company lies in Reputation, Connection, and Technology, to help customers save time and lower cost. We understand that customers now need: Fast, Accurate, Convenient, Secured services as well as Various Methodologies of Purchase - Delivery - and Payment. We are proud to be a member of IATA, International Air Transport Association. We are proud to be enlisted in the Top Agents of Asiana Airlines, Korean Air and Vietnam Airlines' routes between Korea and Vietnam for 15 consecutive years. We are recently granted as 1st Level Distributor of Bamboo Airways. We are pleased to be the agent providing Air tickets and Travel services for more than 3000 regular customers and organizations such as Lotte hotel, Lotte E&C, Hyundai Aluminum, Samsung Welstory, Korean Embassy in Hanoi, Korean International School in Hanoi, Dongyang E&C and more. Dai Minh Travel has a Ticket Office in My Dinh, Vietnam with 25 dynamic employees who serve 24/7 and hotline 19001542 available at any time. Our ticket delivery staffs are also eager to serve you. We seek to provide accurate consultancy and dedicated guidance to our customers. Our Online Booking System – Dabook.vnborn to be your trust-worthy 24h and nonstop Assistant for searching tickets; comparing fares & routes; reserving; and more Besides, our sister company T&H Law Firm is able to provide quallity legal and investment consultancy. Dai Minh Travel Company’s Head Quarter bases in My Dinh, Hanoi. You can also find our tour desk at Lotte Hotel in Lieu Giai, a 5-star hotel. Contact us: Headquarters: Dai Minh Trading Services and Tourism Co., Ltd Address: Lot 118, TT3, My Dinh 1, Nam Tu Liem, Hanoi Tel:<PHONE_NUMBER> / 778 Fax:<PHONE_NUMBER> Call center:19001542


statsmodels.regression.linear_model.WLS¶
-
class
statsmodels.regression.linear_model.
WLS
(endog, exog, weights=1.0, missing='none', hasconst=None, **kwargs)[source]¶ A regression model with diagonal but non-identity covariance structure.
The weights are presumed to be (proportional to) the inverse of the variance of the observations. That is, if the variables are to be transformed by 1/sqrt(W) you must supply weights = 1/W.
Parameters: - endog (array-like) – 1-d endogenous response variable. The dependent variable.
- exog (array-like) – A nobs x k array where nobs is the number of observations and k
is the number of regressors. An intercept is not included by default
and should be added by the user. See
statsmodels.tools.add_constant
. - weights (array-like, optional) – 1d array of weights. If you supply 1/W then the variables are pre- multiplied by 1/sqrt(W). If no weights are supplied the default value is 1 and WLS results are the same as OLS.
- missing (str) – Available options are ‘none’, ‘drop’, and ‘raise’. If ‘none’, no nan checking is done. If ‘drop’, any observations with nans are dropped. If ‘raise’, an error is raised. Default is ‘none.’
- hasconst (None or bool) – Indicates whether the RHS includes a user-supplied constant. If True, a constant is not checked for and k_constant is set to 1 and all result statistics are calculated as if a constant is present. If False, a constant is not checked for and k_constant is set to 0.
-
weights
¶ array – The stored weights supplied as an argument.
-
See regression.GLS
Examples
>>> import numpy as np >>> import statsmodels.api as sm >>> Y = [1,3,4,5,2,3,4] >>> X = range(1,8) >>> X = sm.add_constant(X) >>> wls_model = sm.WLS(Y,X, weights=list(range(1,8))) >>> results = wls_model.fit() >>> results.params array([ 2.91666667, 0.0952381 ]) >>> results.tvalues array([ 2.0652652 , 0.35684428]) >>> print(results.t_test([1, 0])) <T test: effect=array([ 2.91666667]), sd=array([[ 1.41224801]]), t=array([[ 2.0652652]]), p=array([[ 0.04690139]]), df_denom=5> >>> print(results.f_test([0, 1])) <F test: F=array([[ 0.12733784]]), p=[[ 0.73577409]], df_denom=5, df_num=1>
Notes
If the weights are a function of the data, then the post estimation statistics such as fvalue and mse_model might not be correct, as the package does not yet support no-constant regression.
Methods
fit
([method, cov_type, cov_kwds, use_t])Full fit of the model. fit_regularized
([method, alpha, L1_wt, …])Return a regularized fit to a linear regression model. from_formula
(formula, data[, subset, drop_cols])Create a Model from a formula and dataframe. get_distribution
(params, scale[, exog, …])Returns a random number generator for the predictive distribution. hessian
(params)The Hessian matrix of the model hessian_factor
(params[, scale, observed])Weights for calculating Hessian information
(params)Fisher information matrix of model initialize
()Initialize (possibly re-initialize) a Model instance. loglike
(params)Returns the value of the gaussian log-likelihood function at params. predict
(params[, exog])Return linear predicted values from a design matrix. score
(params)Score vector of model. whiten
(X)Whitener for WLS model, multiplies each column by sqrt(self.weights) Attributes
df_model
The model degree of freedom, defined as the rank of the regressor matrix minus 1 if a constant is included. df_resid
The residual degree of freedom, defined as the number of observations minus the rank of the regressor matrix. endog_names
Names of endogenous variables exog_names
Names of exogenous variables


InnovateMe is a new and upcoming social network for entrepreneurs as well as those who wish to become one.
Networking for the new and old
More then just a Social Network, we're a network of both people and ideas.
Connect with your fellow entrepreneurs, both those you know in real life, and those you would like to get to know.
With InnovateMe being the leading Social Network for Startups worldwide, you're sure to find people just as awesome as you are.
Bringing your ideas to life
InnovateMe connects you with the people you need to make it happen.
Sometimes a good business partner is key, other times maybe its a mentor.
Whoever you need, we'll connect you with them.

Privacy
Because privacy means as much to us as it does to you, we will never share your personal information with any third party.
With privacy settings laid out in a simple way so that they are easy to understand, you'll always know exactly how much of your profile is public.


| Ultramoll TGN General Information
-
| Synonyms: |
Phthalic polyester |
| CAS Registry No.: |
72968-15-1 |
| Chemical Category: |
Polymeric plasticizers |
Usage and Performance Characteristics
-
| Outstanding Properties: |
Oil, grease & fuel resistance, low migration |
| Used for Polymeric Materials: |
PVC, VC copolymer NBR, polysulfide |
| Used for Products: |
Coating,s film, cables & wiring, sealants |
Physical Properties
-
| Aggregate State at 25°C: |
Viscous liquid |
| Density, kg/m3: |
1,138 (20°C); 1,136 (25°C); 1,129 (40°C); 1,124 (50°C); 1,114 (60°C) |
| Dynamic Viscosity, cP: |
2,800 (20°C); 1,800 (25°C); 1,000 (30°C); 450 (40°C); 70 (70°C) |
Chemical Properties
-
| Saponification Value, mg KOH/g: |
310 |
Optical Properties
-
| Color, Platinum-Cobalt Scale: |
100 |
| Refractive Index: |
1.505 (n20D) |
Hazard-Related Data
-
| Flash Point Temperature, °C: |
230 |
Plasticizers Database (2nd Electronic Edition) Copyright © 2004 by ChemTec Publishing |


{{ episode.created|date }}
Please use a decent browser, such as Firefox or Chrome.
Theme music: {{ episode.theme_artist.name|e }} {{ episode.theme_license.name|e }}
Download ({{ episode.file_bytes|filesize }})


Description
FlashDevelop is a highly customizable lightweight script editor with extended support for class based languages. Altought the program is designed mostly for ActionScript, other languages can be implemented quite easily too. FlashDevelop requires the Microsoft.NET 2.0 Framework. You can support us by donating for the project via PayPal. Any donation, even 1$, is good for the project. Code contributions are also welcome.
You can find more info about FlashDevelop from the project website www.flashdevelop.org.
Used Icons
Current smooth FlashDevelop menu icons are free icons downloaded from www.famfamfam.com. The icons are released under Creative Commons Attribution 2.5 License and are property of Mark James. Some of the icons are modified from the original icons. Visit Mark's site.
Used Tools
FlashDevelop includes few third party tools by default. The listed tools are copyright of their respective owners.
- SwfOp library by Florian Kruesch (code library)
- AS2API documentation tool by David Holroyd (console application)
- Motion-Twin ActionScript Compiler by Motion-Twin (console application)
- Swfmill XML/SWF processor by Daniel Fischer (console application)
- Flex PMD tool by Adobe Systems Inc. (console application)
- SlikSVN tool by Slik Developer Tools. (console application)
Components
FlashDevelop is programmed with C# and it includes misc. modified and unmodified components. DockPanel Suite is used for docking windows and ScintillaNET wrapper is used for providing the Scintilla editor control for C#. The listed components are copyright of their respective owners.
- Flex SDK port by Robert Nelson
- DockPanel Suite by Weifen Luo
- Scintilla component by Neil Hodgson
- Scintilla.NET wrapper by Garrett Serack
- Aga controls by Andrey Gliznetsov
- CSScriptLibrary by Oleg Shilo
- SharpZipLib by ISharpCode
Licence
Copyright (c) 2005-2013 Mika Palmu - FlashDevelop.org
Portions copyright Philippe Elsass and all helpful contributors.
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or portions of the Software.
 IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.


| Time | Leader | Topic |
|---|---|---|
| 7:45 a.m. | Bus leaves Broker Inn for Mesa Lab | |
| 8:00 a.m. | Continental breakfast at NCAR and informal introductions | |
| 8:30 a.m. | Vary | Welcome to Workshop and General Introduction |
| 8:35 a.m. | Blackmon | Welcome to NCAR |
| 8:40 a.m. | Wigley | Mesoscale-model climate simulations: Advantages & Disadvantages for Impacts Assessment |
| 9:00 a.m. | Mearns | Review of Impacts Assessments using Mesoscale Climate Simulations |
| 9:20 a.m. | Kuo, Machenhauer, Pielke | Panel Presentation: 15 min. presentation by each + 15 min questions. What is the intent of a mesoscale model? What is it good for? What is it not good for? What are opportunities for climate modeling? How does mesoscale-model climate simulation differ from global simulation? How does it differ from several-day simulation? What lessons can we apply from past mesoscale-modeling experience? |
| 10:15a.m. | Hakkarinen & ISU | Specific mission of the meeting. Overview of discussion categories and goals for each one. Breakout-groups' members listed. |
| 10:30 a.m. | Discussion: Mode One questions [coffee served] Goal: A prioritized list of mesoscale model output fields to archive for impacts studies, including types of diagnostic (but not simulation) codes that may need to be embedded in the model. List should include frequency of output, whether output is instantaneous or cumulative. Estimates of systematic and random errors. Error tolerance for impact studies. Discussion should include and report on questions raised in preparatory white paper and additional questions we might generate. | |
| 12:00 p.m. | -- lunch -- | |
| 1:00 p.m. | Group reports to full workshop | |
| 2:00 p.m. | Giorgi | How have mesoscale models for climate evolved? How are new processes embedded in a model? What are typical problems encountered in the process? What are typical readjustments made to accommodate a new process? What has driven past choices for new processes to internalize? What is gained, what is lost? (Just cpu time?) |
| 2:30 p.m. | Discussion: Mode Two questions [coffee served] Goal: A prioritized list of candidate processes for internalizing into mesoscale climate models. List should include where the processes link to the model (i.e., input to the process subroutine) and what they should return, either as model output or as feedbacks to other model processes. List should be tailored to mesoscale simulation. | |
| 4:00 p.m. | Group reports to full workshop | |
| 5:00 p.m. | Adjourn for the day; informal reception follows | |
| 6:00 p.m. | Dinner at Mesa Lab | |
| 8:30 p.m. | Bus leaves Mesa Lab for Broker Inn |
| Time | Leader | Topic |
|---|---|---|
| 8:15a.m. | Bus leaves Broker Inn for Mesa Lab | |
| 8:30 a.m. | Continental Breakfast at NCAR | |
| 9:00 a.m. | ISU | Mesoscale simulations in support of IPCC Third Assessment Report |
| 9:30 a.m. | Discussion: Three-year runs [coffee served] Goal: Tailoring earlier recommendations for three-year simulations | |
| 10:30 a.m. | Group reports to full workshop. | |
| 11:00 a.m. | Discussion: Mode Three questions (by workshop as a whole) Goals: Directions for upgrading stand-alone impacts models in response to output available from mesoscale climate models. List should include what types of special observations or observation campaigns might be needed for validation, potential time line for developing these models, and potential for eventually embedding these models in mesoscale climate models | |
| 11:45 a.m. | Final summary. Where are we going from here? What are the priorities coming from the workshop for each "mode"? What tentatively are the plans in the Project to Intercompare Regional Climate Simulations (PIRCS) for pushing Mode One along? | |
| 12:30 p.m. | Workshop Adjourn & Lunch | |
| 1:30 p.m. | Bus leaves Mesa Lab for Broker Inn |
Go to the IITAP home page


Building No. 3642, Unit No.2 Badr, King Fahd Airport Road, Dammam 32265-6995 Saudi Arabia
+966 13 8222222
info@metalone.com.sa


We are leading the way in space travel and technology. Everyday, we are making breakthroughs in exploration, research, and opening the skies to all of humanity.
Space travel was once only for astronauts, but we have developed 6 top-speed cruisers for commercial travel. Our luxury solar system cruisers are equipped with high-speed satellite communication, observation decks, and themed hot-tubs
Everyday, humanity is making new discoveries that will eventually allow us to travel farther and faster than ever before. Many of our travelers choose to wait up to 300 years before embarking on their inter-planetary journey.
Not sure where or when to disembark on your adventure? Provide us with a few details about yourself to begin the your process.
When planning for your trip, please bare in mind that due to orbiting distances and speeds, the length of a year will vary from planet to planet. While length of a planet's year will not affect the length of your life, please consider the calculations in each of our packages if you are deeply emotionally invested in birthday parties.
*Remaining Life Expectancy includes cryogenically frozen years.


Biography
According to the novelization by Takeshi Shudo, she runs Pallet Town's only restaurant, Pallet House, which she inherited from her mother. When she was younger, she dreamed of becoming both a model and a Pokémon trainer, but gave up those dreams to run a restaurant after Ash was born.
Long ago she divorced her husband (the reason is not shown in the anime, but in the novelization of "Pocket Monsters: The Animation" the reason is revealed) and undertook to raise her son on her own. She has never been a Pokemon trainer, but in Alola Open House! has demonstrated real skill. This is how Delia won the trust of Mr. Mayme, who still helps her in the household.


Am a female born in Kenya. Hannah is a very brilliant and confident lady.
I have a very good intrests in computers.This was introduced to me in a very tender age that made me be very enlighted in computers till now.
I have always desired to be a programmer and still a web designer
I have luckily be able to design my own projects
This page identifyies the skills i have gained through my various experiences and how they relate to the career am interested in. Choosing the most relevant experiences and putting them in an easily understood format will help you better articulate your skills and experiences when asked questions about your qualifications in an interview. This are the langauges that i have used
Educatio Background
January 2002 - November 2010 : KATHONZWENI PRIMARY SCHOOL (K.C.P.E)
February 2011 - November 2014 : UTHIRU GIRLS HIGH SCHOOL (K.C.S.E)
Currently 2020 :KCA UNIVERSITY: Bachalors of Information and Technology.


|
Apache Mesos
|
Files | |
| file | authenticator_manager.hpp [code] |
| file | config.hpp [code] |
| file | decoder.hpp [code] |
| file | encoder.hpp [code] |
| file | event_loop.hpp [code] |
| file | gate.hpp [code] |
| file | libev.hpp [code] |
| file | libevent.hpp [code] |
| file | libevent_ssl_socket.hpp [code] |
| file | openssl.hpp [code] |
| file | poll_socket.hpp [code] |
| file | process_reference.hpp [code] |


{% if projects %} {% for project in projects %} {% include 'projects/card.html' with project=project %} {% endfor %}


/v2/top-headlines
Request Parameters:
| Name | Type | Description | Required/Default |
|---|---|---|---|
| q | string | string[] |
Keywords or a phrase to search for. | true |
| country |
ae ar at au be bg br ca ch cn co cu cz de eg fr gb gr hk hu id ie
il in it jp kr lt lv ma mx my ng nl no nz ph pl pt ro rs ru sa se
sg si sk th tr tw ua us ve za
|
The 2-letter ISO 3166-1 code of the country you want to
get headlines for.
|
false |
| category |
business entertainment general health science sports
technology
.
|
The category you want to get headlines for. | false |
| sources | string | string[] |
A comma-seperated string of identifiers for the news sources or blogs you want headlines from. Use the /sources endpoint to locate these programmatically or look at the sources index. | false |
| pageSize | int |
The number of results to return per page (request). 20 is the default, 100 is the maximum. | false |
| page | int |
Use this to page through the results if the total results found is greater than the page size. | false |
/v2/everything
Request Parameters:
| Name | Type | Description | Required/Default |
|---|---|---|---|
| q | string | string[] |
Keywords or phrases to search for. | true |
| sources | string | string[] |
A comma-seperated string of identifiers (maximum 20) for the news sources or blogs you want headlines from. Use the /sources endpoint to locate these programmatically or look at the sources index. | false |
| domains | string | string[] |
A comma-seperated string of domains (eg bbc.co.uk, techcrunch.com, engadget.com) to restrict the search to. | false |
| excludeDomains | string | string[] |
A comma-seperated string of domains (eg bbc.co.uk, techcrunch.com, engadget.com) to remove from the results. | false |
| from_ | ISO 8601 |
A date and optional time for the oldest article allowed. | DEFAULT: the oldest according to your plan |
| to_ | ISO 8601 |
A date and optional time for the newest article allowed. | DEFAULT: the newest according to your plan. |
| language | ar de en es fr he it nl no pt ru se ud zh |
The 2-letter ISO-639-1 code of the language you want to get headlines for. |
false DEFAULT:
all languages returned.
|
| sortBy | relevancy popularity publishedAt |
The order to sort the articles in.relevancy = articles more closely related to q come
first.popularity = articles from popular sources
and publishers come first.publishedAt = newest
articles come first.
|
DEFAULT: publishedAt |
| pageSize | int |
The number of results to return per page. |
DEFAULT: 20 MAX:
100
|
| page | int |
Use this to page through the results. | false |
Parameter names* should be in
ISO 8601
format
(e.g.2019-01-29
or2019-01-29T19:21:06
)
/v2/sources
Request Parameters:
| Name | Type | Description | Required/Default |
|---|---|---|---|
| category |
business entertainment general health science sports
technology
|
Find sources that display news of this category. | DEFAULT: all categories. |
| language | ar de en es fr he it nl no pt ru se ud zh |
Find sources that display news in a specific language. | DEFAULT: all languages. |
| country |
ae ar at au be bg br ca ch cn co cu cz de eg fr gb gr hk hu id ie
il in it jp kr lt lv ma mx my ng nl no nz ph pl pt ro rs ru sa se
sg si sk th tr tw ua us ve za
|
Find sources that display news in a specific country. | DEFAULT: all countries. |


422
Error!
The change you wanted was rejected.
Maybe you tried to change something you didn't have access to.


4 overrides of Credential
System.Management.Automation (4)
engine\remoting\commands\InvokeCommandCommand.cs (1)
202
public override PSCredential
Credential
engine\remoting\commands\newrunspacecommand.cs (1)
92
public override PSCredential
Credential
engine\remoting\commands\PushRunspaceCommand.cs (1)
156
public override PSCredential
Credential
engine\remoting\commands\StartJob.cs (1)
226
public override PSCredential
Credential
4 writes to Credential
System.Management.Automation (4)
engine\remoting\commands\InvokeCommandCommand.cs (1)
211
base.
Credential
= value;
engine\remoting\commands\newrunspacecommand.cs (1)
101
base.
Credential
= value;
engine\remoting\commands\PushRunspaceCommand.cs (1)
160
set { base.
Credential
= value; }
engine\remoting\commands\StartJob.cs (1)
235
base.
Credential
= value;
10 references to Credential
System.Management.Automation (10)
engine\remoting\commands\InvokeCommandCommand.cs (1)
206
return base.
Credential
;
engine\remoting\commands\newrunspacecommand.cs (1)
96
return base.
Credential
;
engine\remoting\commands\PSRemotingCmdlet.cs (6)
538
ValidateSpecifiedAuthentication(
Credential
, CertificateThumbprint, Authentication);
701
ValidateSpecifiedAuthentication(
Credential
, CertificateThumbprint, Authentication);
723
ValidateSpecifiedAuthentication(
Credential
, CertificateThumbprint, Authentication);
1416
connectionInfo.Credential =
Credential
;
1555
connectionInfo.Credential =
Credential
;
1756
connectionInfo = new VMConnectionInfo(this.
Credential
, this.VMId[index], this.VMName[index], this.ConfigurationName);
engine\remoting\commands\PushRunspaceCommand.cs (1)
158
get { return base.
Credential
; }
engine\remoting\commands\StartJob.cs (1)
230
return base.
Credential
;


Ecross-Qualtrics - How To Use
-
Overview
This program allows you to use the popular e-cross paradigm from psychology in Qualtrics. It keeps track of 6 important variables
the number of "e"s in the text that you provide, the number of high depletion "e"s in the text you provide (high depletion is defined as
any upper or lowercase "e" that not within two characters of any vowel within a given word), the number of letters that an individual clicked,
the number of "e"s that an individual actually clicks on, and the number of high depletion "e"s that an individual clicked on. I also include
an exact copy of the paragraph after the individual is done with the task, this is for your records. As an added bonus, it is impossible
for a user to cheat. They can not use Ctrl+F to "Find" the "e"s in the paragraph you provide, nor can they go to their browser's menu and
use the "Find" function that way.
-
Customizing the qualtrics.html file for your experiment
There are two things that you must change in the qualtrics.html file before you use this software. You invariably have two requirements,
1. The actual paragraph of text the user will use, and 2. The amount of time a participant will have to perform the task.
-
To set the "time" open up the qualtrics.html and change this value to the number of seconds ( which MUST be an integer )
you want the particpant to have for the task.
-
Simply copy and paste the paragraph of text you want the participant to see here.
-
Preliminary Steps to Enable Javascript Libraries
You must include jquery in the survey in order for this function to work
This link will help you figure out where to go
, essentially you need to follow these instructions and insert this tag into the header of the survey:
"<script src="https://ajax.googleapis.com/ajax/libs/jquery/1.11.3/jquery.min.js"></script>"
Everything above NOT including the quotatation marks at the beginning and end.
-
Getting the Code in the Survey
-
There are two files that need to be copied and pasted into qualtrics, the first "qualtrics.html" needs to be
copied and pasted into the html of the text question shown here:
-
The second file is "qualtrics.js" first you get the JavaScript window to open, then you delete the boilerplate
code they have inserted, and then you copy and paste qualtrics.js in the window as illustrated below.
-
Using the Code Properly in Qualtrics
-
In order for the code to be reported by Qualtrics you need to create a special block
in the survey flow. In the "Edit Survey" tab select "Survey Flow". Make sure to do this
below the block that has the actual ecross task question in it (primarily for organization).
-
Here is the caveat, the variable names that you give in the "Embedded Data" fields, must be the same exact strings
that are in the actual Javascript snippet. This picture shows what an "Embedded Data" block might look like.
-
The "Embedded Data" field will always have 6 variables... Here is what they look like in the actual code.
-
The tricky part is that you are going to have to change the names in the "Embedded Data" block in the survey flow
AND those names must correspond to the names in quotations in the JavaScript snippet. This is because if you implement
the ecross paradigm properly you need a practice round, a low depletion round, and a high depletion round. This means
that in your survey flow you are going to have this JavaScript snippet 3 times. Each of the three instances of the
JavaScript snippet will need 3 corresponding "Embedded Data" blocks. I will refer to the "Embedded Data" block
and JavaScript snippet as pairs. IF each of your pairs do not uniquely name the variables,
then you will not get the right data. For instance if two of you pairs each have the same names for all 6 variables
(as labeled in the JavaScript snippet and in the "Embedded Data" block) then you will get two copies of whichever
block executed second, because the second block will overwrite the variable names. Thus you are going to need
to change the names of each of the variables in the pair. I recommend doing it like this:
For the JavaScript code:
-
For the Embedded Data block.
-
I suggest using this scheme, append the variable names in the pairs with an "_1" for the first instance, an "_2" for the second
instance, and an "_3" for the third instance.
-
Specifications Computerized E-Cross Task
-
Participants must be able to click on a letter to “cross” it out, meaning a small x or slash should appear through the letter.
The program needs to prevent participants from using control+F to find the es.
-
Participants run through a shorter practice round with one paragraph, then the longer manipulation round with a different paragraph.
Need to be able to control how long participants are given to complete each paragraph.
-
Must have data on:
-
-
Number of es successfully crossed out in practice round and low depletion
-
Number of es in the paragraph
-
Number of high depeltion es in the paragraph
-
Number of other letters crossed out
-
Number of correct es in high depletion round crossed out
-
A snapshot of the paragraph after a user has completed the task


You can send text messages to other online and available users by via Collaboration → Send Text Message....
This will open the messages dialog where you can send text messages, see incoming messages, files and views. If you want, you can
keep this dialog open as you continue working with Equinox.


-
Junyue Cao, Jonathan S Packer, Vijay Ramani, Darren A Cusanovich, Chau Huynh, Riza Daza, Xiaojie Qiu, Choli Lee, Scott N Furlan, Frank J Steemers, Andrew Adey, Robert H Waterston, Cole Trapnell, and Jay Shendure.
Comprehensive single-cell transcriptional profiling of a multicellular organism.
Science (New York, N.Y.) 357(6352),
August
2017.
-
Vijay Ramani, Xinxian Deng, Ruolan Qiu, Kevin L Gunderson, Frank J Steemers, Christine M Disteche, William S Noble, Zhijun Duan, and Jay Shendure.
Massively multiplex single-cell Hi-C.
Nature methods 14(3),
March
2017.
-
Vijay Ramani, Darren A Cusanovich, Ronald J Hause, Wenxiu Ma, Ruolan Qiu, Xinxian Deng, C Anthony Blau, Christine M Disteche, William S Noble, Jay Shendure, and Zhijun Duan.
Mapping 3D genome architecture through in situ DNase Hi-C.
Nature protocols 11(11),
November
2016.
-
Vijay Ramani and Jay Shendure.
Smash and DASH with Cas9.
Genome biology,
March
2016.
-
Vijay Ramani, Jay Shendure, and Zhijun Duan.
Understanding Spatial Genome Organization: Methods and Insights.
Genomics, proteomics & bioinformatics 14(1),
February
2016.
-
Vijay Ramani, Ruolan Qiu, and Jay Shendure.
High-throughput determination of RNA structure by proximity ligation.
Nature biotechnology 33(9),
September
2015.
-
Xinxian Deng, Wenxiu Ma, Vijay Ramani, Andrew Hill, Fan Yang, Ferhat Ay, Joel B Berletch, Carl Anthony Blau, Jay Shendure, Zhijun Duan, William S Noble, and Christine M Disteche.
Bipartite structure of the inactive mouse X chromosome.
Genome biology,
August
2015.


This script can help to get Jenkins tools localtion on all your slaves
If you have many slaves, then it is difficult to view all configs for nodes. Run this small script and get all build tools.
Thanks o lot "domi" for http://scriptlerweb.appspot.com/script/show/49001
import hudson.model.* import hudson.node_monitors.* import hudson.slaves.* import java.util.concurrent.* import hudson.tools.ToolDescriptor; import hudson.tools.ToolInstallation; jenkins = Hudson.instance TaskListener log; def getEnviron(computer) { def env def thread = Thread.start("Getting env from ${computer.name}", { env = computer.environment }) thread.join(2000) if (thread.isAlive()) thread.interrupt() env } def slaveAccessible(computer) { getEnviron(computer)?.get('PATH') != null } for (aSlave in jenkins.slaves) { def computer = aSlave.computer println "Checking computer ${computer.name}:" def isOK = (slaveAccessible(computer) && !computer.offline) if (isOK) { for (ToolDescriptor<?> desc : ToolInstallation.all()) { for (ToolInstallation inst : desc.getInstallations()) { println ('\tTool Name: ' + inst.getName()); println ('\t\tTool Home: ' + inst.translateFor(aSlave,log)); } } } else { println " ERROR: can't get PATH from slave: node is offline." } }


therapy patients AMOS study analysis Anthroposophic costs treatment analyses score chronic prospective Hamre mean (.-.), Health anthroposophic diagnosis low pain outcome groups Table months outcomes clinical disease follow-up patient improvements P<. health massage physicians symptoms {border-style AMPs Disease cohort criteria Symptom bias px;} #ffffff;} Witt cohorts comparison enrolled studies therapy, Glockmann Medicine primary Kienle Score: disorders group und Germany: Outcome Outcomes SF- adults children corresponding observational rhythmical treated Low Medical Patient Therapy adverse art baseline eurythmy median outpatient pre-post safety therapies total using German Jul Study assessment conventional publications scales severity systematic Anxiety Figure Jan comparative compared comparisons disorder main pain, quality reactions symptom year Pain adjunctive data depression different disease: documented für life los modality months, pre-study routine second selection significantly -Mar AMP Asthma BMC Clinical Eurythmy International Migraine Patients according available depression, effect higher physician sensitivity starting study. two-year < (AMOS) (see -month ADHD Average Depression Med Med. Rhythmical Stuttgart, analyses, analyzed anxiety del depressive large measures medical medicine no. patients. performed px; research satisfaction special used year, years {font-family ("not (range AMPs, Art Dec Federal Rating Reference Score Steiner adult age, aged asthma attention care children, cost did differences duration effectiveness, evaluation font-size forces improvement medicinal months. natural order present") products rating suppression therapy. use ("worst (Grade -Dec -year .%, Association Complement Kiene Questionnaire Res Rudolf Statistical Studies análisis calculated classified costs, deficit/hyperactivity diagnoses diagnosis, diagnostic double; ed. frequent included including indications individual magnitude med number regression relevant response review sample settings significant single-arm sizes study, terapia therapists treatment. (-) Albonico Analyses. Anthroposophische Berlin: Children Diagnosis Diagnostic Functional Groups ICD- Institute Ita Life March NRS: Pre-post Predictors Primary Quality Scale Verlag age antroposófica artistic asthma, benefit bias, border-color border-width combined complementary confidence der disability edition effects eligibility eligible findings following formative four-year general healthcare human includes information inpatient integrative major methods migraine migraine, missing mit nonrandomized outpatients pain. participating physical possible") published questionnaire receiving recovery, reduced respective results showed similar size solid; specific studies. therapies) therapies, von zur {font-style {font-weight (/) (ICD- .%; .-., AM, Abbreviations: Ability Accessed August Bias Books; Center Classification Combined Corresponding December Der Epidemiological Female Filderstadt, Innungskrankenkasse KINDL Male Mental Press; Public Research Results Satisfaction Severity, Social Survey Total University Use Verlag; Wegman. [German] addition, addressing alternative article assess assessed assessments bold care. children. collab: comprised conditions. consultation consultations control costs. courier; data. days degree descriptive detailed diagnoses. disorder, disorders, documentation drug educational em; eurythmy, evaluable follow-up, followed groups. high homeopathic hospitalization inclusion largely las maximum mean, mental neck nested non-AM noncancer nonrespondent numerical outcomes, pacientes para patients' physician's physicians, por possible predicted prepared proportion pt;} que rating: ratings reporting reproduced resultados safety, sistema small standardized studies, suppressed survey value values work working year. years, years: