EntityBuilder
open class EntityBuilder : OptionalRustObject
This class wraps a raw pointer that points to a Rust EntityBuilder<InProgressBuilder>
object.
EntityBuilder
provides a programmatic interface to performing assertions on a specific entity.
It provides functions for adding and retracting values for attributes for an entity within
an in progress transaction.
The transact
function will transact the assertions that have been added to the EntityBuilder
and pass back the TxReport
that was generated by this transact and the InProgress
that was
used to perform the transact.
}
The commit
function will transact and commit the assertions that have been added to the EntityBuilder
.
It will consume the InProgress
used to perform the transact. It returns the TxReport
generated by
the transact. After calling commit
, a new transaction must be started by calling Mentat.beginTransaction()
in order to perform further actions.
let aEntid = txReport.entid(forTempId: "a")
do {
let builder = try mentat.entityBuilder(forEntid: aEntid)
try builder.add(keyword: ":foo/boolean", boolean: true)
try builder.add(keyword: ":foo/instant", date: newDate)
let report = try builder.commit()
...
} catch {
...
}
-
Asserts the value of attribute
keyword
to be the providedvalue
.Throws
PointerError.pointerConsumed
if the underlying raw pointer has already consumed, which will occur if the builder has already been transacted or committed.Throws
ResultError.error
if the attribute is not present in the schema or the attribute value type is not:db.type/long
.Declaration
Swift
open func add(keyword: String, long value: Int64) throws
Parameters
keyword
The name of the attribute in the format
:namespace/name
.value
The value to be asserted
-
Asserts the value of attribute
keyword
to be the providedvalue
.Throws
PointerError.pointerConsumed
if the underlying raw pointer has already consumed, which will occur if the builder has already been transacted or committed.Throws
ResultError.error
if the attribute is not present in the schema or the attribute value type is not:db.type/ref
.Declaration
Swift
open func add(keyword: String, reference value: Int64) throws
Parameters
keyword
The name of the attribute in the format
:namespace/name
.value
The value to be asserted
-
Asserts the value of attribute
keyword
to be the providedvalue
.Throws
PointerError.pointerConsumed
if the underlying raw pointer has already consumed, which will occur if the builder has already been transacted or committed.Throws
ResultError.error
if the attribute is not present in the schema or the attribute value type is not:db.type/keyword
.Declaration
Swift
open func add(keyword: String, keyword value: String) throws
Parameters
keyword
The name of the attribute in the format
:namespace/name
.value
The value to be asserted
-
Asserts the value of attribute
keyword
to be the providedvalue
.Throws
PointerError.pointerConsumed
if the underlying raw pointer has already consumed, which will occur if the builder has already been transacted or committed.Throws
ResultError.error
if the attribute is not present in the schema or the attribute value type is not:db.type/boolean
.Declaration
Swift
open func add(keyword: String, boolean value: Bool) throws
Parameters
keyword
The name of the attribute in the format
:namespace/name
.value
The value to be asserted
-
Asserts the value of attribute
keyword
to be the providedvalue
.Throws
PointerError.pointerConsumed
if the underlying raw pointer has already consumed, which will occur if the builder has already been transacted or committed.Throws
ResultError.error
if the attribute is not present in the schema or the attribute value type is not:db.type/double
.Declaration
Swift
open func add(keyword: String, double value: Double) throws
Parameters
keyword
The name of the attribute in the format
:namespace/name
.value
The value to be asserted
-
Asserts the value of attribute
keyword
to be the providedvalue
.Throws
PointerError.pointerConsumed
if the underlying raw pointer has already consumed, which will occur if the builder has already been transacted or committed.Throws
ResultError.error
if the attribute is not present in the schema or the attribute value type is not:db.type/instant
.Declaration
Swift
open func add(keyword: String, date value: Date) throws
Parameters
keyword
The name of the attribute in the format
:namespace/name
.value
The value to be asserted
-
Asserts the value of attribute
keyword
to be the providedvalue
.Throws
PointerError.pointerConsumed
if the underlying raw pointer has already consumed, which will occur if the builder has already been transacted or committed.Throws
ResultError.error
if the attribute is not present in the schema or the attribute value type is not:db.type/string
.Declaration
Swift
open func add(keyword: String, string value: String) throws
Parameters
keyword
The name of the attribute in the format
:namespace/name
.value
The value to be asserted
-
Asserts the value of attribute
keyword
to be the providedvalue
.Throws
PointerError.pointerConsumed
if the underlying raw pointer has already consumed, which will occur if the builder has already been transacted or committed.Throws
ResultError.error
if the attribute is not present in the schema or the attribute value type is not:db.type/uuid
.Declaration
Swift
open func add(keyword: String, uuid value: UUID) throws
Parameters
keyword
The name of the attribute in the format
:namespace/name
.value
The value to be asserted
-
Retracts the value of attribute
keyword
from the providedvalue
.Throws
PointerError.pointerConsumed
if the underlying raw pointer has already consumed, which will occur if the builder has already been transacted or committed.Throws
ResultError.error
if the attribute is not present in the schema or the attribute value type is not:db.type/long
.Declaration
Swift
open func retract(keyword: String, long value: Int64) throws
Parameters
keyword
The name of the attribute in the format
:namespace/name
.value
The value to be retracted
-
Retracts the value of attribute
keyword
from the providedvalue
.Throws
PointerError.pointerConsumed
if the underlying raw pointer has already consumed, which will occur if the builder has already been transacted or committed.Throws
ResultError.error
if the attribute is not present in the schema or the attribute value type is not:db.type/ref
.Declaration
Swift
open func retract(keyword: String, reference value: Int64) throws
Parameters
keyword
The name of the attribute in the format
:namespace/name
.value
The value to be retracted
-
Retracts the value of attribute
keyword
from the providedvalue
.Throws
PointerError.pointerConsumed
if the underlying raw pointer has already consumed, which will occur if the builder has already been transacted or committed.Throws
ResultError.error
if the attribute is not present in the schema or the attribute value type is not:db.type/keyword
.Declaration
Swift
open func retract(keyword: String, keyword value: String) throws
Parameters
keyword
The name of the attribute in the format
:namespace/name
.value
The value to be retracted
-
Retracts the value of attribute
keyword
from the providedvalue
.Throws
PointerError.pointerConsumed
if the underlying raw pointer has already consumed, which will occur if the builder has already been transacted or committed.Throws
ResultError.error
if the attribute is not present in the schema or the attribute value type is not:db.type/boolean
.Declaration
Swift
open func retract(keyword: String, boolean value: Bool) throws
Parameters
keyword
The name of the attribute in the format
:namespace/name
.value
The value to be retracted
-
Retracts the value of attribute
keyword
from the providedvalue
.Throws
PointerError.pointerConsumed
if the underlying raw pointer has already consumed, which will occur if the builder has already been transacted or committed.Throws
ResultError.error
if the attribute is not present in the schema or the attribute value type is not:db.type/double
.Declaration
Swift
open func retract(keyword: String, double value: Double) throws
Parameters
keyword
The name of the attribute in the format
:namespace/name
.value
The value to be retracted
-
Retracts the value of attribute
keyword
from the providedvalue
.Throws
PointerError.pointerConsumed
if the underlying raw pointer has already consumed, which will occur if the builder has already been transacted or committed.Throws
ResultError.error
if the attribute is not present in the schema or the attribute value type is not:db.type/instant
.Declaration
Swift
open func retract(keyword: String, date value: Date) throws
Parameters
keyword
The name of the attribute in the format
:namespace/name
.value
The value to be retracted
-
Retracts the value of attribute
keyword
from the providedvalue
.Throws
PointerError.pointerConsumed
if the underlying raw pointer has already consumed, which will occur if the builder has already been transacted or committed.Throws
ResultError.error
if the attribute is not present in the schema or the attribute value type is not:db.type/string
.Declaration
Swift
open func retract(keyword: String, string value: String) throws
Parameters
keyword
The name of the attribute in the format
:namespace/name
.value
The value to be retracted
-
Retracts the value of attribute
keyword
from the providedvalue
.Throws
PointerError.pointerConsumed
if the underlying raw pointer has already consumed, which will occur if the builder has already been transacted or committed.Throws
ResultError.error
if the attribute is not present in the schema or the attribute value type is not:db.type/uuid
.Declaration
Swift
open func retract(keyword: String, uuid value: UUID) throws
Parameters
keyword
The name of the attribute in the format
:namespace/name
.value
The value to be retracted
-
Transacts the added assertions. This consumes the pointer associated with this
EntityBuilder
such that no further assertions can be added after thetransact
has completed. To perform further assertions, use theInProgress
returned from this function.This does not commit the transaction. In order to do so,
commit
can be called on theInProgress
returned from this function.Throws
PointerError.pointerConsumed
if the underlying raw pointer has already consumed, which will occur if the builder has already been transacted or committed.Throws
ResultError.error
if an error occured during the execution of the transact.Declaration
Swift
open func transact() throws -> (InProgress, TxReport?)
Return Value
The current
InProgress
and theTxReport
generated by the transact. -
Transacts the added assertions and commits. This consumes the pointer associated with this
EntityBuilder
and the associatedInProgress
such that no further assertions can be added after thecommit
has completed. To perform further assertions, a newInProgress
orEntityBuilder
should be created.Throws
PointerError.pointerConsumed
if the underlying raw pointer has already consumed, which will occur if the builder has already been transacted or committed.Throws
ResultError.error
if an error occured during the execution of the transact.Declaration
Swift
open func commit() throws -> TxReport
Return Value
The
TxReport
generated by the transact. -
Undocumented
Declaration
Swift
override open func cleanup(pointer: OpaquePointer)


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When a method in a subclass overrides a method in superclass, it is still possible to call the overridden method using super keyword. If you write super.func() to call the function func(), it will call the method that was defined in the superclass.
You are given a code in the editor. Modify exactly $1$ line so that the code prints the following text:
Hello I am a motorcycle, I am a cycle with an engine.
My ancestor is a cycle who is a vehicle with pedals.
If you lose the original code, click the top left button in the editor and create a new buffer.


Definition of relevance:
- The item can be used directly for the interest
(e.g. tent in camping)
- The item is themed towards a certain interest
(e.g. Disney Frozen themed clothing)
- The item, while not directly themed for the interest, is used by interest enthusiasts
(e.g. generic knife that people use for mushroom hunting, clothing used to dress up as Lord of the Rings (movie/book) characters)
Note that related toys/decorations/themed items count as 'Yes'.


Lecture 2 Reading data
The first step in analyzing data with R is reading data into it. This lesson focuses on reading data, manipulating it with dplyr
and a few summary visualizations.
2.1 Data Source:
The US Census Bureau has a large selection of data on the population of the United States. We’ll take a look at the 1-year American Community Survey results for the state of Hawaii.
2.2 read_csv
To read in the downloaded file, we’ll use the readr
package, which you can install by installing tidyverse
.
library(readr) # also in library(tidyverse)
pop_hi <- read_csv("data/csv_phi.zip")
## Multiple files in zip: reading 'ss15phi.csv'
## Parsed with column specification:
## cols(
## .default = col_integer(),
## RT = col_character(),
## SPORDER = col_character(),
## PUMA = col_character(),
## PWGTP = col_character(),
## AGEP = col_character(),
## INTP = col_character(),
## JWMNP = col_character(),
## JWRIP = col_character(),
## JWTR = col_character(),
## OIP = col_character(),
## PAP = col_character(),
## RELP = col_character(),
## RETP = col_character(),
## SCHG = col_character(),
## SCHL = col_character(),
## SEMP = col_character(),
## SSIP = col_character(),
## SSP = col_character(),
## WAGP = col_character(),
## WKHP = col_character()
## # ... with 99 more columns
## )
## See spec(...) for full column specifications.
pop_hi
## # A tibble: 14,124 x 284
## RT SERIALNO SPORDER PUMA ST ADJINC PWGTP AGEP CIT CITWP
## <chr> <int> <chr> <chr> <int> <int> <chr> <chr> <int> <int>
## 1 P 21 01 00303 15 1001264 00078 63 1 NA
## 2 P 158 01 00306 15 1001264 00056 54 1 NA
## 3 P 267 01 00100 15 1001264 00059 52 5 NA
## 4 P 267 02 00100 15 1001264 00071 56 5 NA
## 5 P 267 03 00100 15 1001264 00102 25 5 NA
## 6 P 267 04 00100 15 1001264 00155 22 5 NA
## 7 P 267 05 00100 15 1001264 00074 15 5 NA
## 8 P 351 01 00100 15 1001264 00307 32 4 2005
## 9 P 351 02 00100 15 1001264 00578 02 1 NA
## 10 P 470 01 00200 15 1001264 00041 79 1 NA
## # ... with 14,114 more rows, and 274 more variables: COW <int>,
## # DDRS <int>, DEAR <int>, DEYE <int>, DOUT <int>, DPHY <int>,
## # DRAT <int>, DRATX <int>, DREM <int>, ENG <int>, FER <int>, GCL <int>,
## # GCM <int>, GCR <int>, HINS1 <int>, HINS2 <int>, HINS3 <int>,
## # HINS4 <int>, HINS5 <int>, HINS6 <int>, HINS7 <int>, INTP <chr>,
## # JWMNP <chr>, JWRIP <chr>, JWTR <chr>, LANX <int>, MAR <int>,
## # MARHD <int>, MARHM <int>, MARHT <int>, MARHW <int>, MARHYP <int>,
## # MIG <int>, MIL <int>, MLPA <int>, MLPB <int>, MLPCD <int>, MLPE <int>,
## # MLPFG <int>, MLPH <int>, MLPI <int>, MLPJ <int>, MLPK <int>,
## # NWAB <int>, NWAV <int>, NWLA <int>, NWLK <int>, NWRE <int>, OIP <chr>,
## # PAP <chr>, RELP <chr>, RETP <chr>, SCH <int>, SCHG <chr>, SCHL <chr>,
## # SEMP <chr>, SEX <int>, SSIP <chr>, SSP <chr>, WAGP <chr>, WKHP <chr>,
## # WKL <int>, WKW <int>, WRK <int>, YOEP <int>, ANC <int>, ANC1P <chr>,
## # ANC2P <chr>, DECADE <int>, DIS <int>, DRIVESP <int>, ESP <int>,
## # ESR <int>, FHICOVP <int>, FOD1P <int>, FOD2P <int>, HICOV <int>,
## # HISP <chr>, INDP <chr>, JWAP <chr>, JWDP <chr>, LANP <int>,
## # MIGPUMA <chr>, MIGSP <chr>, MSP <int>, NAICSP <chr>, NATIVITY <int>,
## # NOP <int>, OC <int>, OCCP <chr>, PAOC <int>, PERNP <chr>, PINCP <chr>,
## # POBP <chr>, POVPIP <chr>, POWPUMA <chr>, POWSP <chr>, PRIVCOV <int>,
## # PUBCOV <int>, QTRBIR <int>, ...
2.3 dplyr
Using the data dictionary we can identify some interesting variables.
PERSON RECORD
RT 1
Record Type
P .Person Record
AGEP 2
Age
00 .Under 1 year
01..99 .1 to 99 years (Top-coded***)
COW 1
Class of worker
b .N/A (less than 16 years old/NILF who last
.worked more than 5 years ago or never worked)
1 .Employee of a private for-profit company or
.business, or of an individual, for wages,
.salary, or commissions
2 .Employee of a private not-for-profit,
.tax-exempt, or charitable organization
3 .Local government employee (city, county, etc.)
4 .State government employee
5 .Federal government employee
6 .Self-employed in own not incorporated
.business, professional practice, or farm
7 .Self-employed in own incorporated
.business, professional practice or farm
8 .Working without pay in family business or farm
9 .Unemployed and last worked 5 years ago or earlier or never
.worked
SCHL 2
Educational attainment
bb .N/A (less than 3 years old)
01 .No schooling completed
02 .Nursery school, preschool
03 .Kindergarten
04 .Grade 1
05 .Grade 2
06 .Grade 3
07 .Grade 4
08 .Grade 5
09 .Grade 6
10 .Grade 7
11 .Grade 8
12 .Grade 9
13 .Grade 10
14 .Grade 11
15 .12th grade - no diploma
16 .Regular high school diploma
17 .GED or alternative credential
18 .Some college, but less than 1 year
19 .1 or more years of college credit, no degree
20 .Associate's degree
21 .Bachelor's degree
22 .Master's degree
23 .Professional degree beyond a bachelor's degree
24 .Doctorate degree
WAGP 6
Wages or salary income past 12 months
bbbbbb .N/A (less than 15 years old)
000000 .None
000001..999999 .$1 to 999999 (Rounded and top-coded)
Note: Use ADJINC to adjust WAGP to constant dollars.
WKHP 2
Usual hours worked per week past 12 months
bb .N/A (less than 16 years old/did not work
.during the past 12 months)
01..98 .1 to 98 usual hours
99 .99 or more usual hours
WKW 1
Weeks worked during past 12 months
b .N/A (less than 16 years old/did not work
.during the past 12 months)
1 .50 to 52 weeks worked during past 12 months
2 .48 to 49 weeks worked during past 12 months
3 .40 to 47 weeks worked during past 12 months
4 .27 to 39 weeks worked during past 12 months
5 .14 to 26 weeks worked during past 12 months
6 .less than 14 weeks worked during past 12 months
ESR 1
Employment status recode
b .N/A (less than 16 years old)
1 .Civilian employed, at work
2 .Civilian employed, with a job but not at work
3 .Unemployed
4 .Armed forces, at work
5 .Armed forces, with a job but not at work
6 .Not in labor force
PERNP 7
Total person's earnings
bbbbbbb .N/A (less than 15 years old)
0000000 .No earnings
-010000 .Loss of $10000 or more (Rounded & bottom-coded
.components)
-000001..-009999 .Loss $1 to $9999 (Rounded components)
0000001 .$1 or break even
0000002..9999999 .$2 to $9999999 (Rounded & top-coded components)
Note: Use ADJINC to adjust PERNP to constant dollars.
PINCP 7
Total person's income (signed)
bbbbbbb .N/A (less than 15 years old)
0000000 .None
-019999 .Loss of $19999 or more (Rounded & bottom-coded
.components)
-000001..-019998 .Loss $1 to $19998 (Rounded components)
0000001 .$1 or break even
0000002..9999999 .$2 to $9999999 (Rounded & top-coded components)
Note: Use ADJINC to adjust PINCP to constant dollars.
Let’s focus on employed civilians (ESR either 1 or 2) working full time (WKHP > 32) for close to the entire year (WKW either 1 or 2).
library(dplyr) # also in library(tidyverse)
##
## Attaching package: 'dplyr'
## The following objects are masked from 'package:stats':
##
## filter, lag
## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, union
pop_hi <- pop_hi %>%
filter(
ESR %in% c(1, 2),
as.numeric(WKHP) > 32,
WKW %in% c(1, 2)
)
If you are unsure if a column that you want to treat as numeric contains letters, you can run the following command to get a list of the values containing letters:
grep("[[:alpha:]]", pop_hi$WKHP, value = TRUE)
## character(0)
We can use two functions to add new columns (or change existing ones).
mutate()
adds columns and keeps the previous columnstransmute()
adds columns and removes the previous columns
This time we want to drop the columns we don’t mention.
pop_hi <- pop_hi %>%
transmute(
age = as.numeric(AGEP),
worker_class = factor(COW, labels = c(
"for-profit",
"not-for-profit",
"local government",
"state government",
"federal government",
"self-employed not incorporated",
"self-employed incorporated",
"family business no pay"
)),
school = SCHL,
wages = as.numeric(WAGP),
top_coded_wages = WAGP == 999999
)
Creating a custom factor variable for educational attainment:
education_levels <- c("less than HS", "HS", "associates", "bachelors", "masters", "doctorate")
pop_hi$education <- NA
pop_hi[pop_hi$school < 16,]$education <- "less than HS"
pop_hi[pop_hi$school > 16 & pop_hi$school < 20,]$education <- "HS"
pop_hi[pop_hi$school == 20,]$education <- "associates"
pop_hi[pop_hi$school == 21,]$education <- "bachelors"
pop_hi[pop_hi$school %in% c(22, 23),]$education <- "masters"
pop_hi[pop_hi$school == 24,]$education <- "doctorate"
pop_hi <- pop_hi %>%
mutate(education = factor(education, levels = education_levels))
2.4 First Look at ggplot2
See the ggplot2 documentation for details and inspiration.
library(ggplot2) # also in library(tidyverse)
ggplot(pop_hi, aes(age, wages)) +
geom_point()
Income has a skewed distribution, so it is often presented/analyzed in logs. Here’s how to modify the above chart to display income in logs:
pop_hi <- pop_hi %>%
mutate(log_safe_wages = ifelse(wages == 0, 1, wages))
pop_hi %>%
ggplot(aes(age, log_safe_wages)) +
geom_point() +
scale_y_log10()
2.5 Heatmaps
Heatmaps allow you to get a sense of the concetration of observations in regions where there are many overlapping points:
ggplot(pop_hi, aes(age, log_safe_wages)) +
geom_bin2d() +
scale_y_log10()
2.6 Hexbins
Hexbins use hexagons instead of squares, which helps avoid the rectangular sections in heatmaps that may misrepresent your data.
You will need to install the hexbin
package.
install.packages("hexbin")
pop_hi %>%
filter(wages > 10000, wages < 300000) %>%
ggplot(aes(age, wages)) +
geom_hex() +
scale_x_log10()
Here we can see that inequality in wages for workers increases with age.
2.7 Other topics from this dataset
This dataset includes information on the majors for degree holders and the industry codes. You could use that additional information to ask how well targeted majors are to particular industries and how incomes vary across choice of major. Because of the size of the data in the Hawaii sample, it would be better to ask some of these questions at the national level.
Go to the ACS PUMS documentation page for more information.


array set :// ff00xff0aa Report 1
array set :// bbff1101xd Report 2
Javascript Script used into Exploit Page
/ Webbrowser.Download.StartBackground Test
function run_StartBackground() {
window.external.system("Webbrowser.Download.StartBackground?http://www.playstation.jp/sample.mp4");
Action: Re-opens the web browser is possible with this script
<button class="btn">Refresh Browser</button>
Action: Calls NPXS20001 which is the Shell UI is possible with this script
<button class="btn">Call ShellUI</button>
This Exploit Not Working On PS4 FW < 3.X And 4.55


#include <dppoint.h>
Definition at line 59 of file dppoint.h.
◆ CostFunc
◆ DPPoint()
| tesseract::DPPoint::DPPoint |
( |
| ) |
|
|
inline |
Definition at line 82 of file dppoint.h.
89 void UpdateIfBetter(int64_t cost, int32_t steps,
const DPPoint* prev,
◆ AddLocalCost()
| void tesseract::DPPoint::AddLocalCost |
( |
int |
new_cost | ) |
|
|
inline |
◆ best_prev()
| const DPPoint* tesseract::DPPoint::best_prev |
( |
| ) |
const |
|
inline |
◆ CostWithVariance()
| int64_t tesseract::DPPoint::CostWithVariance |
( |
const DPPoint * |
prev | ) |
|
Definition at line 85 of file dppoint.cpp.
88 if (cost < total_cost_) {
◆ Pathlength()
| int tesseract::DPPoint::Pathlength |
( |
| ) |
const |
|
inline |
◆ Solve()
| DPPoint * tesseract::DPPoint::Solve |
( |
int |
min_step, |
|
|
int |
max_step, |
|
|
bool |
debug, |
|
|
CostFunc |
cost_func, |
|
|
int |
size, |
|
|
DPPoint * |
points |
|
) |
| |
|
static |
Definition at line 47 of file dppoint.cpp.
50 tprintf(
"At point %d, local cost=%d, total_cost=%d, steps=%d\n",
51 i, points[i].local_cost_, points[i].total_cost_,
52 points[i].total_steps_);
56 int best_cost = points[size - 1].total_cost_;
57 int best_end = size - 1;
58 for (
int end = best_end - 1; end >= size - min_step; --end) {
59 int cost = points[end].total_cost_;
60 if (cost < best_cost) {
65 return points + best_end;
70 if (prev ==
nullptr || prev ==
this) {
71 UpdateIfBetter(0, 1,
nullptr, 0, 0, 0);
75 int delta =
this - prev;
76 int32_t n = prev->n_ + 1;
77 int32_t sig_x = prev->sig_x_ + delta;
78 int64_t sig_xsq = prev->sig_xsq_ + delta * delta;
79 int64_t cost = (sig_xsq - sig_x * sig_x / n) / n;
80 cost += prev->total_cost_;
81 UpdateIfBetter(cost, prev->total_steps_ + 1, prev, n, sig_x, sig_xsq);
◆ total_cost()
| int tesseract::DPPoint::total_cost |
( |
| ) |
const |
|
inline |
The documentation for this class was generated from the following files:


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Far far away, behind the word mountains, far from the countries Vokalia and Consonantia, there live the blind texts. Separated they live in Bookmarksgrove right at the coast of the Semantics, a large language ocean. A small river named Duden flows by their place and supplies it with the necessary regelialia.
Far far away, behind the word mountains, far from the countries Vokalia and Consonantia, there live the blind texts. Separated they live in Bookmarksgrove right at the coast of the Semantics, a large language ocean. A small river named Duden flows by their place and supplies it with the necessary regelialia.
Far far away, behind the word mountains, far from the countries Vokalia and Consonantia, there live the blind texts. Separated they live in Bookmarksgrove right at the coast of the Semantics, a large language ocean. A small river named Duden flows by their place and supplies it with the necessary regelialia.


| 接口 | 说明 |
|---|---|
| HttpMessage | |
| HttpMessageBuilder | |
| RequestConnectionPoint |
Represents request address information is used to make a call.
There are at least two possible instances: "local" is how we see request at the server application and
"actual" is what we can recover from proxy provided headers.
|
| 枚举 | 说明 |
|---|---|
| CookieEncoding | |
| RangeUnits |


1984
Published on May 28, 2017
Having just finished this masterpiece by Orwell, I couldn’t help but having the uncontrollable urge to write about it. After finishing part III in a single stretch, some things have fundamentally changed the way I view certain aspects in life. It is by no means that there could be any doubt about the warning Orwell was trying to give us.
At the end of the book I was contemplating how I myself would have handled the situation in which Winston was in. Having run over the different scenarios in my head, I could come to no other conclusion that I would probably have caved in much sooner than him.
Humans are a fragile race. We go by our daily lives and wear masks to shield us from other individuals, hoping that they don’t discover the real thoughts that run through our heads. Thought crime or the freedom to think, either way you interpret it, humans are free in their own minds. Or so we are told to believe.
After reading 1984 I’m left to wonder for how long until this also is taken away from us. The last place where we can go to and truly be ourselves, free from judgement and punishment. It’s by the end of the book that I’m no longer sure if that safe haven will forever remain.
I was talking to someone the other day about online privacy and the implications of today’s exposure of a person to the unknowns. My opinion about it until now was that as long as a person’s privacy is respected within the laws and rights of the domain within they reside, there is no problem.
But what if the embodiment of that domain suddenly shifts towards a more radical and dictative one. What happens to the granted access of data from before? I fear that tomorrow’s society might not be as open and forgiving as now. Big Brother is already watching us but in the future he might not only be watching but enforcing and punishing as well. And I’m not entirely sure anymore I want that kind of society & BB to know about me what today’s society & BB already know about me.
As with everything these days, we need to stay vigilant and watchful not to forsake the freedoms we’ve fought so hard to achieve. I’m not going to lie. I’m not to optimistic about our future. But if we give up already, then there’s truly no reason at all to continue with anything.
My hope is still that tomorrow’s society is a more inclusive one and one that understands each other’s choices and beliefs. And not one where the betrayal of our loved ones is the last resort to escape. Live and let live.
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One Club PlayerAbout Me
I'm a software engineer from Antwerp, Belgium. I work as one of the core team members of Laravel, the popular PHP framework.
My passions are open-source, building communities, managing software teams, and creating quality and maintainable products.
I'm currently building Eventy, an app for user group leaders, conference organisers, speakers, attendees, sponsors and venue owners.
I organize meetups for Full Stack Belgium in the cities of Antwerp and Ghent. I'm also the co-organizer of Full Stack Europe, a conference for every kind of developer.
Follow me on Twitter at @driesvints where I also share some Dev Tips from time to time. You can contact me by email.


Dennis has jammed a small crowbar into one of his casts and Dee is attempting to cut it off with garden shears. Mac watches. Frank soaks his arm-cast in a bowl of water.

DEE:
I need to be able to get the shears
further down.
CHARLIE:
Just do it, dude.

CHARLIE:
I’m a billionaire all of a sudden?
Pull the crowbar, Dennis.
Mac grabs the crowbar from Dennis and pulls with all his strength. Dee thrusts the shears further down.
CHARLIE:
AHHHH! It’s digging into my leg!
DENNIS:
I told you.
CHARLIE:
Stop! Stop it!
MAC:
Do want this cast on or off, Charlie?

DEE:
Nobody asked you, Dad. Why are you even here?
FRANK:
I’m hanging with the gang.
DEE:
You’re not in our gang.
DENNIS(to Dee):
Neither are you.
DEE:
Yes, I am.
DENNIS:
No. The gang is me, Mac and Charlie.
FRANK:
Dennis, let your sister be in the gang.
DENNIS:
No, she’s not allowed in the gang. Right, guys?
MAC:
I have no idea what you’re talking about.
CHARLIE:
Me either.


public class Event
extends java.lang.Object
implements java.io.Serializable
| Modifier and Type | Field and Description |
|---|---|
protected java.time.LocalDate |
date |
protected java.lang.String |
description |
protected java.time.LocalTime |
time |
protected static java.time.format.DateTimeFormatter |
timeFormatter |
| Constructor and Description |
|---|
Event(java.time.LocalDate date,
java.time.LocalTime time,
java.lang.String description)
Creates a new Event object by accepting a date, time, and description.
|
| Modifier and Type | Method and Description |
|---|---|
java.time.LocalDate |
getDate()
Getter for the date attribute.
|
java.lang.String |
getDateString()
Getter for the date attribute returned as an ISO_LOCAL_DATE formatted string.
|
java.lang.String |
getDescription()
Getter for the description attribute.
|
long |
getEpochUTC()
Converts the combined date and time to its UTC epoch representation.
|
java.time.LocalDateTime |
getLocalDateTime()
Combines the date and time attributes of the Event into a LocalDateTime object
Used for comparison of Events based on the time they occurred.
|
java.time.LocalTime |
getTime()
Getter for the time attribute.
|
java.lang.String |
getTimeString()
Getter for the time attribute returned as an HH:mm formatted string.
|
java.lang.Boolean |
setDate(java.lang.String date)
Sets the date attribute.
|
void |
setDescription(java.lang.String description)
Sets the description attribute.
|
void |
setTime(java.time.LocalTime time)
Sets the time attribute.
|
boolean |
setTime(java.lang.String time)
Sets the time attribute.
|
protected static java.time.format.DateTimeFormatter timeFormatter
protected java.time.LocalDate date
protected java.time.LocalTime time
protected java.lang.String description
public Event(java.time.LocalDate date, java.time.LocalTime time, java.lang.String description)
date
- Date of when the event occurred; should have the format ISO_LOCAL_DATE (yyyy-MM-dd).time
- Time of when the event occurred; should have the format HH:mm.description
- Describes the circumstances surrounding an event.public java.time.LocalDate getDate()
public java.lang.String getDateString()
public java.lang.Boolean setDate(java.lang.String date)
date
- Date of when an Event occurred. Must have the format yyyy-MM-dd or will not be accepted.public java.time.LocalTime getTime()
public void setTime(java.time.LocalTime time)
time
- Time of when an Event occurred.public java.lang.String getTimeString()
public boolean setTime(java.lang.String time)
time
- Time of when an Event occurred. Must have the format HH:mm or will not be accepted.public java.lang.String getDescription()
public void setDescription(java.lang.String description)
description
- Description must be a String and should provide details which give
context to an Event.public java.time.LocalDateTime getLocalDateTime()
public long getEpochUTC()


dev-runtime-nodejs
1. Motivation
This repository aims to deploy and execute the reTHINK runtime in Node.js. The execution of reTHINK different components takes place in Nodejs sandboxes.
2. Architecture Overview
The design and implementation of this runtime was mostly influenced by runtime-browser . This Runtime was designed with compliance with Runtime Node requirements reported in D3.1. Essentially, it follows by design security approach, where different types of components are executed in isolated SandBoxes.
Sandboxing technology was realised thanks to multi-processor environment in NodeJS. Particularly, the native child_process.fork() method was used for this purpose. Spawned (forked) NodeJS child processes are independent of the parent. Each process has its own memory, with its own V8 instance engine. However, an IPC (Inter-Process Communication) channel is established between the parent and child that allows messages to be passed back and forth between them.
2.1 Architecture Description
As illustrated in the diagram above, Runtime Node design has a flexible approach. Since it supports deploying hyperty application in an isolated sandbox and in the same context as Runtime Node process as well (main node process where the javascript code is being executed first, labeled as Runtime-NodeJS). In the following upcoming sections a descritpion of main architecture components is given. Afterwards, an emphasis on architecture possible slight variations depending on possible use cases and/or business models.
At bootstrap the demo.js
demo is launched. In the following the functionalities of each components :
RuntimeNode:
- Main RuntimeNode process
- Deploys
core
in an isolated sandbox(child_process
) - Routes messages back and forth between the Context App and the core
- Exposes loadHyperty and loadProtoStub to Context Application
Core Sandbox:
- Node.js child process (simultaneously is a parent process of
ContextServiceProvider sandbox
) used as an isolated sandbox to load the Hyperty runtime - Instantites
SandboxApp
proxy to Context App Sandbox in main app - Instantiates
SandboxWorker
to load Context Service Provider as sandbox for ProtoStub. - Handles communication between internal/external components
- All Communications from/to the
core
is routed through The Message Bus
Context Service Provider (SandboxWorker):
- Nodejs child process having
core Sandbox
as parent process. - Loads and activates Protostub to the messaging node
Context App Sandbox:
- Deployed directly in Runtime Node or in an isolated sandbox( labeled
Service Application
) - Used to load and activate Hyperties
demo.js:
- Loads Runtime-Core, Hyeprty,and the ProtoStub from the toolkit
- Starts demo
NodeHyperty
like in #Dev-toolkit demo.
2.2 Hyperty running in same context as the Runtime Node:
In order to be able to develop and manipulate hyperty instance. The Runtime Node allows implementing hyperty Context Sandbox (is faux sandbox, just JavaScript module) in the same context as the Runtime.Likewise,the runtime browser, where hyperties app are loaded and then executed in the same context as the Runtime. Accordingly, the developers/users can interact directly from the Runtime with hyperties' instances.
Despite the functionality aspect of this approach. This implementation represents considerable threat to the Runtime. In fact, an hyperty running in the context app has same hardware resources as the runtime. Therefore, executing a malicious code on this Context app, or if the code threw an error at some point of its execution, the whole runtime is compromised. In brief this implemenation provides functional Runtime without worrying about the security aspect.
2.3 Hyperty running in an isolated Sandbox:
On the contrary of what was said before. In this implementation, the hyperty is totally isolated in Nodejs child process, as sub process, it has its own V8 NodeJs engine. As a result, it runs on its own isolated context.
Labeled as Service Application
in above architecture. A use case we could thing of, consists of having a server hyperty that regularly monitors other servers, and sends back collected data (statistics) to the Runtime Node.
3. Quick Start
First you need to clone this repository:
git clone https://github.com/reTHINK-project/dev-runtime-nodejs.git
cd dev-runtime-nodejs
Afterwards, run the following (as root) :
# npm run setup
Running NodeHyperty demo on Runtime Node
# npm run demo
This demo is set for hybroker.rethink.ptinovacao.pt
domain. As a result, it uses all other components (catalogue, domain registry, msg-node) of reTHINK associated with this domain.
This will start NodeHyperty from catalogue in https://catalogue.domain/.well-known/hyperty/NodeHyperty
. Moreover, this demo connects to the remote msg-node-vertx of hybroker.rethink.ptinovacao.pt
.
4. Understanding this demo
First you need to include the runtime loader:
let rethink = require('./RuntimeUAStub');
Then load the runtime :
let runtime = rethink.default.install({
domain: domain,
development: true
}).then((runtime) => {
console.log('runtime loaded !');
// ... now you can load hyperty
}).catch((e) => {
console.error('aie !', e);
});
Now you load the hyperty :
console.log('\n loading hyperty :'.green, hypertyURI(domain, 'NodeHyperty'));
runtime.requireHyperty(hypertyURI(domain, 'NodeHyperty'))
.then((NodeHyperty) => {
console.log('Hyperty loaded :\n'.green);
console.log('NodeHyperty -->\n'.blue, NodeHyperty);
// ..... here we can manipulate hyperty instance
// note : before trying this make sure that the reTHINK toolkit is up running for node with the command(in dev-hyperty- toolkit) :npm run start:node
}).catch((reason) => {
console.log('Error:', reason);
});
5. How to use this Runtime Node :
In case a hyperty developer(how to develop Hyperty) wants to deploy it on this Runtime Node. A small modification is needed on demo.js
in Demo/ folder
. Essentially, using the method runtime.requireHyperty(hypertyURI(domain,'name Of Hyperty'))
.
where :
domain
: context service provider's domain.
name of Hyperty
: simply an identifier of the Hyperty to be loaded and executed.


What is the Soul? A Baseline for the Materialist Conception
So many people accept at face value either some identity given to them by others or perhaps the assumed identity developed by a younger self. They stop looking or maybe they've never looked much at all. This is what's so dangerous about the materialist misconception that *there is no soul!* What do you mean by that? Do you even know? To the person who needs soul-searching, if they believe the soul resides entirely within some internalized encoding of matter, then they allow the noise of life to define all they see and all they think. They believe the extent of their soul to exist entirely separately of society and this is a dangerous assumption because it deprives the person of power over their mind, over their life and over the composition of their soul.
Social Justice: A Just Cultural Revolution?
Whatever you do, Social Justice Warriors, do not let society take the opposite path. That is the paramount danger of your quasi-leninist destabalizaion. We've made progress, but now we must actually work together. All Americans and all of humanity. If we cannot do this, we will inevitably degrade into war, conflict, misery and unjust subjugation.
 I fear dishonor worse than death. I'm sorry I went full Trotsky and cucked your little Communist revolution. Yeh, I've been sitting here in Salem, VA for three years and I've been waiting on Stalin's little ice prick.
Experimental Psychology, the Paradox Encyclopedia and How to Beat the Roko's Basilisk
In the past five years, mainstream media has been weaving in experimental methods from bleeding edge psychology and neurology. For at least the past century, memory implantation and other mental manipulation is a classic science fiction plot mechanic. We see it in Eternal Sunshine of the Spotless Mind, where memories can be erased, something I would never want to do.
Scientology's Three Step Process For Great Pyramid Schemery
Scientology's goal? To market specific terms and key phrases to the target as the salvation to their inquisition -- which is how you plant your knowledge of word-clear locutionary phrases. Then, you can use metaphorical witch-pricking tactics to see how the target responds to key phrases. This indicates whether your mind control tactics and hypnotic suggestion works or not -- by eliciting darting eyes and 'knowing' glances. Great job guys: remember to suggest specific means of abusing confirmation bias in the minds of those who surround the target.
 Meanwhile, you abuse suggestion, casual interactions and social media tactics similar to spear-phishing. Ensure the target is *already* sociophysically isolated, so they will run from the current 'bad cops' straight to your 'good cop.' Dynamically alter who is a source of positive & negative energy in this isolated target's life.
Facets of Greatness: Understanding the Political System
The Articles of Confederation may have been a more idealistic government, but let's be serious here: do you really think they intended that to last? Not really. It was good enough. Good enough to give our founders about a decade to figure out what would be great enough to last centuries. That's what I mean. Yeh, Thomas Jefferson might have wanted the Articles to last. It didn't have the power or mechanism to tax states. That's like asking the Red Cross to run your government. But this is what I mean: they knew it was going to play out like that. And what would you do?
 You can't forget that. Your understanding of how things really work. And politicians know that. People in general know that. Some people will tend to obfuscate a system, so it appears to work in one way, but there are other, less visible factors at work.
How you model the system and perceive the relationships between people is incredibly valuable. This is in constant flux. It's not going to be the same from year to year. The only constant is change. Just because you figured out how it worked in 2010 doesn't mean it's going to be like that in 2020. The ability to anticipate that change is powerful as well.
I'm Not Religious, I'm Spiritual: A Lighthouse in a Storm
So, religion is a perfect tool for helping to counter this cultural deconstruction and generational stratification, but it can only be helpful if large enough sets of people in our culture share belief systems. In particular, they must share those beliefs which form the basis of the rest of their beliefs. The notion of a basis was discussed in the first section of this series. Where the bases formed primarily from scientific knowledge are always shifting, those formed by and tied to religion are much more constant. In this way, elements of religion act as metacultural fixpoints in the psyche of believers.
I'm Not Religious, I'm Spiritual: Of God and Atheisms
Which part of the beauty of this world did you miss? Did you take a look at that sapphiric jewel floating in the massive expanse of ether? Did you stop to think that the only reason we can begin to fathom the infinite, magnificent expanse of our universe is because the universe began to reflect intangible metaphysical artifacts and imbued star dust with the potential to become self-aware. Over the course of billions of years, the universe evoked forms through which it could wonder in awe of it's own beauty.
I'm Not Religious, I'm Spiritual: God Is Not Dead
Myth and religion have irrefutable value as tools which act as a cultural loom, with which we can weave accumulated knowledge to shape our youth. You simply cannot deny that a good story can be formative in how the next generation constructs their lens and perspective. Myth and religion can act as moulds and dies from which our minds are cast. Our psyche arises from forms emerging from combinated and amalgamated archetypes, acting as fixpoints.
The Nature of God
And so, this light derived from knowledge and truth can never be destroyed. Whenever and wherever there are beings with the time, stability and blessing of God to further the development of their consciousness, will rediscover truth and reclaim light. Destroy it if you are so empowered; if you so desire. These truths are self-evident through exploration of our world and our mind. They can be suppressed to decimation, but obliteration is simply not possible.
Oneironautics: Questing for Lucidity
Anyways, we finally got to this drug lord, who threatens me with a drill to the dome. I mean straight up Scarface-style gangster torture.  He was not joking about it, whatever it was. I barely managed to wrestle my skull from his grasp and, as I did, the drill bit scraped by, tearing through the skin a bit.
Facets of Greatness - The Unknown - Monumental Accidents
And if we consider humanity to be the product of all the ideas available to our collective minds, shouldn't we embrace diversity of mind, body and culture as strengths? These people who have endured challenge after challenge in their lives and whose minds will no doubt contain a wholly different range of memories and ideas: we should see them as luminaries who can see things we could never imagine.
Facets of Greatness - Networking - Maximizing Mutual Benefit
Thinking back to the 19th century economy, it amazes me to think back to previous centuries before the internet and phone systems. I find myself pondering what it would be like to remain a step ahead of your competition at that time.
Facets of Greatness - Signaling - If Actions Speak Louder
Energy committed towards any action is a good measure for weighting an opponent's intent behind an action. Here, energy implies cost of some kind: money, redirection of resources, utilization of assets. Gauging the opportunity cost in pursuing a plan of action is an even better measure of whether or not an opponent's move can be read to imply associated intent. Because signaling is so important, everyone and especially larger corporations wants to mask their intent behind actions.
Facets of Greatness - Knowledge - Meta and Epi
Finding true success means that you have to understand everything at a much deeper level. Once you have this deeper understanding, then you can exploit that knowledge differential towards your success. This knowledge differential is the difference between your deeper understanding of a subject against that of the commonly understood model for your subject of interest. But you need to be intimately familiar with each model!
Facets of Greatness - Communication - Synoptic Epigrams
If you know about the long term goals and mission of this person's organization, looking at how they posture themselves and their organization can speak volumes about those goals. How do they say they say? What are their motivations behind the structure of their message? How are current events and market conditions affecting their message today as compared to the past? What are the obvious points they could be making, but haven't mentioned and why? Do how they stay on message or circle back from a risky area? Does it seem like the interviewer or this person veered off track and why? What was the outcome of seemingly off the cuff statements and questions? Good? Bad?
Facets of Greatness - Intro
Non possidentem multa vocaveris recte beatum; rectius occupat nomen beati, qui deorum muneribus sapienter uti duramque callet pauperiem pati peiusque leto flagitium timet, non ille pro caris amicis aut patria timidus perire.
Neural Networks and Spider Brains
While certain physical neural circuit arrangements are required and while chemistry and genetics are certainly involved to some degree, I believe this merely sets up circuitry that will evolve to reflect metaphysics -- *heady crystals!!* -- In other words, given the proper initial circuitry and given a variety of similar input experiences, the remarkably small spider's brain will inevitably evolve certain key functionalities -- or it will not survive.
Epistemology, Cognition and Category Theory: Directive Cognitive Expansion
Your rate of learning is a function of (1) everything you know (2) your ability to interrelate your knowledge to model new things (3) the proficiency of each base cognitive function and (4) your ability to coordinate those cognitive functions. Therefore, by improving on any of these four points, you will accelerate your rate of learning.
Epistemology, Cognition and Category Theory: A Model for the Mind
Data and metadata about functions and language in particular is likely found all over the brain. And information related to other faculties of the mind is likely similarly sharded all over the brain. This would help achieve dynamic behavior, as it would allow multiple regions of the brain to sort of map functionality together. But doing so would also contribute to efficiency and redundancy.
Epistemology, Cognition and Category Theory: An Overview
I love learning new things. I get to experience beginner's mind again and it gives me a chance to reflect on the process I use to learn. By actively observing beginner's mind, you can refamiliarize yourself with its nature, so that you might be able to partially apply this state of mind when you need it. By introspecting on this process, I hope to continually improve it. I try to approach new activities and skills from a multitude of perspectives and I like to examine the similarities between everything.
Experiences in Meditation
There’s a lot of things I want to write about, but I fear that I’m running out of time. I’m always spending my time learning, reading and working on projects. I haven’t really spent time on myself in so long. I have like 50 blog topics piled up that I want to write about and I’m worried that if I don’t write them now, I’ll never get to.  I’ve been dreaming deeply for so long now. There’s so much still buried within me that’s never made it out. I’m not sure, but I feel like some of what was within me has made a pretty big difference in the world.
Seven Negative Career Experiences
After the party, we hung out a bit in Boulder's Central Park. Then, I asked her back to the apartment. We were walking back, but about halfway there, I told her about the bedbugs. She freaked out.
 Be warned - some battles aren't worth fighting. Your energy and talents may be better suited elsewhere. Of course, that's not to say you shouldn't stand up for yourself.
Defense Against The Dark Arts: Perps, Trolls and Passive Aggressive Tactics
One of the worst aspects of passive aggressive behavior -- and one reason that it is so effective -- is that positive behavior becomes easy to confuse with negative behavior, since the goal is to confuse cause and effect, to encourage inaction and to prevent interference.
Defense Against The Dark Arts: Moot Victims, Sun Tzu, Strategy And End Games
And too often, when I complain to my friends and family, they just tell me to look past it, to ignore it. They claim I'm paranoid or looking too deeply into things. Actually, this isn't terrible advice: it's important to not get caught up in a bully's games, but sometimes they're really hard to ignore. I'm tired of doing nothing. So, I'm going to describe exactly how to do this to someone. This is how it happens. Personally, I'm amazed that some poeple are capable of this or that people could do this at all.
Defense Against The Dark Arts: Master Class on Workplace Bullying and Gangstalking
Yup, there really is A BOOK. And here it is. With great power comes great responsibility. Some people use this book as a kind of bible. $#@! those people. Here's a blog with a nice preview of the lovely teachings this book entails. You're going to want to buy this book and study it. To protect yourself from its great evils.


You need to run 'npm run build' in the root directory before this example
will work
To try out this demo, open the dev console and try modifying the global 'tracks' object. This is a javascript data structure
shown below. Omniscence watches for any changes to this object
and then renders it below for convenience. The buttons below
run some example lines of code.


Platform Usage Video
This is the tutorial video with eye-catching features enphasized below.
Developer Info


|
||||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Object java.util.AbstractCollection<E> java.util.AbstractList velosurf.context.AttributeReference
public class AttributeReference
Context wrapper for attributes
| Field Summary | |
|---|---|
protected Attribute |
mAttribute
The wrapped attribute. |
protected DataAccessor |
mDataAccessor
The data accessor this attribute reference applies to. |
protected java.lang.String |
mOrder
Specified 'order by' clause specified for this attribute reference. |
protected java.util.List |
mRefineCriteria
Specified refining criteria defined on this attribute reference. |
| Fields inherited from class java.util.AbstractList |
|---|
modCount |
| Constructor Summary | |
|---|---|
AttributeReference(DataAccessor inDataAccessor,
Attribute inAttribute)
Constructor for attributes |
| Method Summary | |
|---|---|
void |
clearRefinement()
Clears any refinement made on this attribute |
java.lang.Object |
get(int i)
Dummy method. |
java.util.List |
getRows()
gets all the rows in a list of maps |
java.util.Iterator |
iterator()
Called by the #foreach directive. |
void |
refine(java.lang.String inCriterium)
Refines this attribute's reference result : the provided criterium will be added to the 'where' clause (or a 'where' clause will be added). |
void |
setOrder(java.lang.String inOrder)
Specify an 'order by' clause for this attribute reference result. |
int |
size()
Not yet implemented. |
| Methods inherited from class java.util.AbstractList |
|---|
add, add, addAll, clear, equals, hashCode, indexOf, lastIndexOf, listIterator, listIterator, remove, removeRange, set, subList |
| Methods inherited from class java.util.AbstractCollection |
|---|
addAll, contains, containsAll, isEmpty, remove, removeAll, retainAll, toArray, toArray, toString |
| Methods inherited from class java.lang.Object |
|---|
clone, finalize, getClass, notify, notifyAll, wait, wait, wait |
| Methods inherited from interface java.util.List |
|---|
addAll, contains, containsAll, isEmpty, remove, removeAll, retainAll, toArray, toArray |
| Field Detail |
|---|
protected java.util.List mRefineCriteria
protected java.lang.String mOrder
protected DataAccessor mDataAccessor
protected Attribute mAttribute
| Constructor Detail |
|---|
public AttributeReference(DataAccessor inDataAccessor, Attribute inAttribute)
inDataAccessor
- the data accessor this attribute reference applies toinAttribute
- the wrapped attribute| Method Detail |
|---|
public void refine(java.lang.String inCriterium)
This method can be called several times, thus allowing a field-by-field handling of an html search form.
All criteria will be merged with the sql 'and' operator (if there is an initial where clause, it is wrapped into parenthesis).
Example : suppose we have defined the attribute 'person.children' as " *person(person_id):select * from person where parent_id=?". Then, if we issue the following calls from inside the template :
$bob.children.refine("age>18")the resulting query that will be issed is :$bob.children.refine("gender='F'")
select * from person where (parent_id=?) and (age>18) and (gender='F')
inCriterium
- a valid sql conditionpublic void clearRefinement()
public java.util.Iterator iterator()
Returns a RowIterator on all possible instances of this entity, possibly previously refined and ordered.
iterator
in interface java.lang.Iterable
iterator
in interface java.util.Collection
iterator
in interface java.util.List
iterator
in class java.util.AbstractList
public java.util.List getRows() throws java.sql.SQLException
java.sql.SQLException
public void setOrder(java.lang.String inOrder)
If an 'order by' clause is already present in the original query, the new one is appended (but successive calls to this method overwrite previous ones)
Pass it null or an empty string to clear any ordering.
inOrder
- valid sql column names (separated by commas) indicating the
desired orderpublic java.lang.Object get(int i)
get
in interface java.util.List
get
in class java.util.AbstractList
i
- ignored
public int size()
size
in interface java.util.Collection
size
in interface java.util.List
size
in class java.util.AbstractCollection
|
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| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


{% extends "base.html" %} {% load bootstrap3 %} {% load static %} {% block content %} {{ block.super }}
Our mission is to deliver optimal solutions with quality and services at real time.
Our vision is to develop in a constant manner and grow as a major IT service provider to become a leading performer.


This is some strong text in a paragraph of regular body
text. This is emphasized. This paragraph also demos
inline code blocks
and links.
This is what a blockquote looks like.
/* a block of code */
#header h1 a {
display: block;
width: 300px;
height: 80px;
}


00001 /* 00002 * Copyright (c) 2010, Andrea Mazzoleni. All rights reserved. 00003 * 00004 * Redistribution and use in source and binary forms, with or without 00005 * modification, are permitted provided that the following conditions 00006 * are met: 00007 * 00008 * 1. Redistributions of source code must retain the above copyright 00009 * notice, this list of conditions and the following disclaimer. 00010 * 00011 * 2. Redistributions in binary form must reproduce the above copyright 00012 * notice, this list of conditions and the following disclaimer in the 00013 * documentation and/or other materials provided with the distribution. 00014 * 00015 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" 00016 * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE 00017 * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE 00018 * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE 00019 * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR 00020 * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF 00021 * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS 00022 * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN 00023 * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) 00024 * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE 00025 * POSSIBILITY OF SUCH DAMAGE. 00026 */ 00027 00744 #ifdef __cplusplus 00745 extern "C" { 00746 #endif 00747 00748 #include "tommytypes.h" 00749 #include "tommyhash.h" 00750 #include "tommyalloc.h" 00751 #include "tommyarray.h" 00752 #include "tommyarrayof.h" 00753 #include "tommyarrayblk.h" 00754 #include "tommyarrayblkof.h" 00755 #include "tommylist.h" 00756 #include "tommytrie.h" 00757 #include "tommytrieinp.h" 00758 #include "tommyhashtbl.h" 00759 #include "tommyhashdyn.h" 00760 #include "tommyhashlin.h" 00761 00762 #ifdef __cplusplus 00763 } 00764 #endif 00765


Listen to the event "auth.login", and call hello( network ).api( 'me' ).then( handler )
hello( network ).api( 'me' ).then( handler )
Intiate App credentials


Police locate stolen vehicle, then cocaine
The vehicle was stolen from York Region back in October
by KitchenerToday StaffWaterloo Regional Police have made an arrest after recovering a stolen vehicle.
The vehicle was stolen from York Region back on October 24.
It was located on Chandler Drive in Kitchener on Thursday.
During their investigation, police also seized suspected cocaine.
A 22-year-old man is charged with possession of stolen property over $5,000 and possession for the purpose of trafficking.


nips nips2005 nips2005-22 nips2005-22-reference knowledge-graph by maker-knowledge-mining
Source: pdf
Author: Yusuke Nakashita, Yoshio Mita, Tadashi Shibata
Abstract: An analog focal-plane processor having a 128¢128 photodiode array has been developed for directional edge ﬁltering. It can perform 4¢4-pixel kernel convolution for entire pixels only with 256 steps of simple analog processing. Newly developed cyclic line access and row-parallel processing scheme in conjunction with the “only-nearest-neighbor interconnects” architecture has enabled a very simple implementation. A proof-of-concept chip was fabricated in a 0.35- m 2-poly 3-metal CMOS technology and the edge ﬁltering at a rate of 200 frames/sec. has been experimentally demonstrated.
[1] D. H. Hubel and T. N. Wiesel, “Receptive ﬁelds of single neurons in the cat’s striate cortex,” Journal of Physiology, vol. 148, pp. 574-591, 1959.
[2] M. Yagi and T. Shibata, “An image representation algorithm compatible with neuralassociative-processor-based hardware recognition systems,” IEEE Trans. Neural Networks, vol. 14(5), pp. 1144-1161, 2003.
[3] J. C. Gealow and C. G. Sodini, “A pixel parallel-processor using logic pitch-matched to dynamic memory,” IEEE J. Solid-State Circuits, vol. 34, pp. 831-839, 1999.
[4] K. Ito, M. Ogawa and T. Shibata, “A variable-kernel ﬂash-convolution image ﬁltering processor,” Dig. Tech. Papers of Int. Solid-State Circuits Conf., pp. 470-471, 2003.
[5] L. D. McIlrath, “A CCD/CMOS focal plane array edge detection processor implementing the multiscale veto algorithm,” IEEE J. Solid-State Circuits, vol. 31(9), pp. 1239-1247, 1996.
[6] R. Etiene-Cummings, Z. K. Kalayjian and D. Cai, “A programmable focal plane MIMD image processor chip,” IEEE J. Solid-State Circuits, vol. 36(1), pp. 64-73, 2001.
[7] T. Taguchi, M. Ogawa and T. Shibata, “An Analog Image Processing LSI Employing Scanning Line Parallel Processing,” Proc. 29th European Solid-Sate Circuits Conference (ESSCIRC 2003), pp. 65-68, 2003.
[8] Y. Nakashita, Y. Mita and T. Shibata, “An Analog Edge-Filtering Processor Employing Only-Nearest-Neighbor Interconnects,” Ext. Abstracts of the International Conference on Solid State Devices and Materials (SSDM ’04), pp. 356-357, 2004.
[9] T. Shibata and T. Ohmi, “A Functional MOS Transistor Featuring Gate-Level Weighted Sum and Threshold Operations,” IEEE Trans. Electron Devices, vol. 39(6), pp. 14441455, 1992.


FD: 12-year-old boy dies after being struck by a school bus in Arizona
by KNXV StaffAuthorities are investigating after a 12-year-old boy died after being struck by a school bus in Goodyear, Arizona, on Friday.
Goodyear fire officials said the crash happened around 4 p.m. outside of Western Sky Middle School.
Police say the boy was rushed to a pediatric trauma hospital in extremely critical condition, but later died from his injuries.
Information about what led up to the crash was not immediately available.
The driver remained at the scene and was cooperating with investigators, police said.
Police say there were students on the bus at the time of the crash. No other injuries are suspected.
Police say the investigation is ongoing.
RELATED: 14-year-old hit and killed Friday in Peoria accident
Stay with ABC15 and abc15.com for updates on this developing story.


@(userId : String, tripDetails : List[TripDetails], userAccommodations : List[UserAccommodation], userActivities : List[UserActivity], userDinings : List[UserDining], userTransportations : List[UserTransportation], newReqTrip : ReqTrip, accommodationSelections : List[AccommodationSelection], activitySelections : List[ActivitySelection], diningSelections : List[DiningSelection], transportationSelections : List[TransportationSelection])
Paris
The Louvre or the Louvre Museum, is the world's largest art museum and a historic monument in Paris, France. A central landmark of the city...
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Paris
Roots in the past but eyes to the future, both age-old regional specialties as well as true innovations can be found in my boutique...
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Paris
Showcasing a sun terrace and views of the garden, La Maison Gobert is located in Paris. Each room at this bed and breakfast is...
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| Trip Purpose | Destination | Start Date | End Date | Number of Travelers | Pets | Budget | Non Negotiable | Notes |
|---|---|---|---|---|---|---|---|---|
| @tripDetail.getTripPurpose | @tripDetail.getDestinationName | @tripDetail.getStartDate | @tripDetail.getEndDate | @tripDetail.getNumberOfTravelers | @tripDetail.getPets | @tripDetail.getBudget | @tripDetail.getNonNegotiable | @tripDetail.getNotes |
| @userAccommodation.getAccommodationTypeName |
| @userActivity.getActivityTypeName |
| @userDining.getDiningTypeName |
| @userTransportation.getTransportationTypeName |
@newReqTrip.getConsultantNotes
| Name | Information |
|---|---|
| @accommodationSelection.getAccommodationName | @accommodationSelection.getAccommodationInformation |
| Name | Information |
|---|---|
| @activitySelection.getActivityName | @activitySelection.getActivityInformation |
| Name | Information |
|---|---|
| @diningSelection.getDiningName | @diningSelection.getDiningInformation |
| Name | Information |
|---|---|
| @transportationSelection.getTransportationName | @transportationSelection.getTransportationInformation |


Segmentation Brush Example
This page contains an example of the segmentation paintbrush tool
Go back to the Examples page
Color
Prev Color
Next Color
Size
-
+
Type
Default
Adaptive
Deactivate
Deactivate
Controls:
Brush tool
Left click: paint
'+' and '-' keys: increase/decrease brush size
'[' and ']' keys: change segmentation color
Navigation
Middle Mouse button drag: pan
Mouse Wheel: scroll through images
Right click drag: zoom


Autograd
Overview
autograd
provides automatic differentiation for math operations, so that you can easily build your own custom loss and layer (in both Python and Scala), as illustracted below. (See more examples here). Conceptually we use reverse mode together with the chain rule for automatic differentiation. Variable
is used to record the linkage of the operation history, which would generated a directed acyclic graph for the backward execution. Within the execution graph, leaves are the input variables
and roots are the output variables
.
1.Define custom functions using autograd
from zoo.pipeline.api.autograd import *
def mean_absolute_error(y_true, y_pred):
return mean(abs(y_true - y_pred), axis=1)
def add_one_func(x):
return x + 1.0
2.Define model using Keras-style API and custom Lambda
layer
from zoo.pipeline.api.keras.layers import *
from zoo.pipeline.api.keras.models import *
model = Sequential().add(Dense(1, input_shape=(2,))) \
.add(Lambda(function=add_one_func))
# Evaluation for debug purpose.
model.forward(np.random.uniform(0, 1, shape[3, 2])) # 3 is the batch size
3.Train model with custom loss function
model.compile(optimizer = SGD(), loss = mean_absolute_error)
model.fit(x = ..., y = ...)
# Evaluation for debug purpose
CustomLoss(mean_absolute_error, [2]).forward(np.random.uniform(0, 1, shape[3, 2])) # [2] is the shape without batch, 3 is the batch size.


Droneslab was designed to modernize new ways, capturing data from the sky. Since then, we provide OEM (Original Equipment Manufacturing) and business development solutions, with our modular industrial drones. We help companies and organizations get jobs done safely and efficiently.
Carefully designed, assembled and tested out of San Diego, California, we develop our own high tech small unmanned aerial systems (sUAS) to help worldwide clients:
• Save time, money and resources • Save lives and promote safety • Increase profits and productivity
One drone to rule them all' - said no one ever! Together with our clients, we manufacture our unmanned aircraft systems according to their needs and projects.
Don't just buy a drone, invest in the service, people and team who can help develop your drone needs and operations.
Our full-service team offers dependable customer service, maintenance, support and business development.
Not your average drone. Designed for commercial and industrial sectors, the AD1 is a multi-purpose aerial platform, packed with customizable features. Its distinct low-profile, foldable compact and lightweight design, compliments a variety of applications.
Enterprise platform for longer flight times. Designed for heavy lifting. Payloads can be configured for mapping, surveying, creative or inspection work, specific to a drone’s mission goals.
Size: 38.6 in (980 mm) diagonal Propellers:18 in. carbon fiber hollow core Flight Time:30-45 minutes Flight Controller:Pixhawk (recommended), A2, or user choice Batteries: 12,000 mAh – 17,000 total mAh, 6s LiPo Modes: Autonomous GPS, Manual, Attitude Telemetry Range:1 mi (1.6 km) Wind Tolerance:25 mph (40.2 km/h)
Everyday, technician inspectors can be injured on the job. Benefitting industries (but not limited to), are power, electric, wind turbine farms, dams, bridge maintenance and repair, construction developers, as well as rooftop and solar panel companies. Utilizing our drone systems and programs, inspectors and surveyors can navigate and inspect risky locations in real time.
The Arts have made it’s way into STEAM afterschool programs. It has become a fulfilling passion for AD to encourage students about drones while investing back into youth community projects and school programs.
Drone aerial survey missions mapping and technology can efficiently help farmers save time and energy, producing higher crop yield, quality and cost savings. SLANTRANGE® sensors and analytics provide entirely new metrics on crop status, health trajectory, or projected performance.
Already, there have been an increasing interest for the use of drones in the law enforcement agencies, border patrol, fire departments, search and rescue teams. Mobile drones can instantly provide close range live video feed, efficiently minimizing harmful risks and saving lives.
To minimize “boots on the ground,” our integrated V-MAP® drone systems systematically map with 2 cm accuracy. Generate highly accurate, high resolution orthomaps and 3D volumetric models without having to capture ground control points. Surveyors can benefit for construction sites, as well as geologists and natural disaster damage surveillance.
Aerial video and photography allow for unique shots and perspectives. Among the needed industries, real estate photographers, agents, property managers, developers and inspectors, benefit from aerial imagery useful for buyers, sellers, and investors.
Introduction to Drones is the first step to understanding drones.
Action Drone Inc emphasizes safe procedures. We have designed our training program based on industrial feedback from professionals with years of experience in their industries.
NEXT CLASS:
TO BE ANNOUNCED
LOCATION:
Nairobi Kenya
Inquire for custom agency training packages.
Know your drone! Introduction to Drones is a 5-day comprehensive course designed for professionals. This course introduces basic fundamental drone operations, mechanics, and mission planning. Alongside Action Drone’s trusted technician staff, drone students learn hands-on training using AD products and platforms.
After completion, successful drone pilots can advance to more technical drone operation classes for Fire Department, Law Enforcement, Inspectors, Search and Rescue, Emergency Management, Agriculture and many more applications. Please inquire for training package pricing and availability.
Nairobi Kenya
Sales |<EMAIL_ADDRESS>General
|<EMAIL_ADDRESS>Support
|<EMAIL_ADDRESS>Marketing
| marketing@droneslabkenya.com


CrimPapers
Articles published on 18 November 2019
On 18 November 2019, 8 new articles were published in 7 journals.
The Rise and Fall of Organized Crime in the United States by James B. Jacobs
Victim Participation Rights: Victims Across Criminal Justice Systems by Tracey Booth
Social Network Characteristics Among Racial/ethnic Minority Young Adult Males With Prior Criminal Justice System Involvement by Kelly E. Moore, Derrick M. Gordon, Talea Cornelius, Trace Kershaw
Suspended Licenses, Suspended Lives: the Impact of Drug-Related Driver’s License Suspensions on Traffic Fatalities by Tracy Sohoni, Richard Stringer, Sylwia Piatkowska
Introduction: New Directions in Cybercrime Research by Adam M. Bossler, Tamar Berenblum
Vulnerable Suspects in Police Interviews: Exploring Current Practice in England and Wales by Laura Farrugia,
fiona Gabbert
A Typology of Familicide Perpetrators in Australia by Denise Cullen, Katarina Fritzon
Analyzing Crime Foreseeability: Premises Security Litigation and the Case of Convenience Stores and Gas Stations


from __future__ import absolute_import
from collections import OrderedDict, namedtuple
from ctypes import Structure, c_double
from functools import reduce
from operator import mul
from pathlib import Path
import os
from cgen import Struct, Value
from cached_property import cached_property
from devito.ir.iet import (Call, ExpressionBundle, List, TimedList, Section,
FindNodes, Transformer)
from devito.ir.support import IntervalGroup
from devito.logger import warning
from devito.parameters import configuration
from devito.symbolics import estimate_cost
from devito.tools import flatten
from devito.types import CompositeObject
__all__ = ['Timer', 'create_profile']
class Profiler(object):
_default_includes = []
_default_libs = []
_ext_calls = []
def __init__(self, name):
self.name = name
self._sections = OrderedDict()
self.initialized = True
def instrument(self, iet):
"""
Enrich the Iteration/Expression tree ``iet`` adding nodes for C-level
performance profiling. In particular, turn all :class:`Section`s within ``iet``
into :class:`TimedList`s.
"""
sections = FindNodes(Section).visit(iet)
for section in sections:
bundles = FindNodes(ExpressionBundle).visit(section)
# Total operation count
ops = sum(i.ops for i in bundles)
# Operation count at each section iteration
sops = sum(estimate_cost(i.expr) for i in flatten(b.exprs for b in bundles))
# Total memory traffic
mapper = {}
for i in bundles:
for k, v in i.traffic.items():
mapper.setdefault(k, []).append(v)
traffic = [IntervalGroup.generate('merge', *i) for i in mapper.values()]
traffic = sum(i.extent for i in traffic)
# Each ExpressionBundle lives in its own iteration space
itershapes = [i.shape for i in bundles]
# Track how many grid points are written within `section`
points = []
for i in bundles:
writes = {e.write for e in i.exprs
if e.is_tensor and e.write.is_TimeFunction}
points.append(reduce(mul, i.shape)*len(writes))
points = sum(points)
self._sections[section] = SectionData(ops, sops, points, traffic, itershapes)
# Transform the Iteration/Expression tree introducing the C-level timers
mapper = {i: TimedList(timer=self.timer, lname=i.name, body=i) for i in sections}
iet = Transformer(mapper).visit(iet)
return iet
def summary(self, arguments, dtype):
"""
Return a :class:`PerformanceSummary` of the profiled sections.
:param arguments: A mapper from argument names to run-time values from which
the Profiler infers iteration space and execution times
of a run.
:param dtype: The data type of the objects in the profiled sections. Used
to compute the operational intensity.
"""
summary = PerformanceSummary()
for section, data in self._sections.items():
# Time to run the section
time = max(getattr(arguments[self.name]._obj, section.name), 10e-7)
# Number of FLOPs performed
ops = data.ops.subs(arguments)
# Number of grid points computed
points = data.points.subs(arguments)
# Compulsory traffic
traffic = float(data.traffic.subs(arguments)*dtype().itemsize)
# Runtime itershapes
itershapes = [tuple(i.subs(arguments) for i in j) for j in data.itershapes]
# Do not show unexecuted Sections (i.e., because the loop trip count was 0)
if ops == 0 or traffic == 0:
continue
# Derived metrics
# Note: some casts to `float` are simply to turn `sympy.Float` into `float`
gflops = float(ops)/10**9
gpoints = float(points)/10**9
gflopss = gflops/time
gpointss = gpoints/time
oi = float(ops/traffic)
# Keep track of performance achieved
summary.add(section.name, time, gflopss, gpointss, oi, data.sops, itershapes)
return summary
@cached_property
def timer(self):
return Timer(self.name, [i.name for i in self._sections])
@cached_property
def cdef(self):
"""
Return a :class:`cgen.Struct` representing the profiler data structure in C
(a ``struct``).
"""
return Struct('profiler', [Value('double', i.name) for i in self._sections])
class AdvisorProfiler(Profiler):
"""Rely on Intel Advisor ``v >= 2018`` for performance profiling."""
_api_resume = '__itt_resume'
_api_pause = '__itt_pause'
_default_includes = ['ittnotify.h']
_default_libs = ['ittnotify']
_ext_calls = [_api_resume, _api_pause]
def __init__(self, name):
self.path = locate_intel_advisor()
if self.path is None:
self.initialized = False
else:
super(AdvisorProfiler, self).__init__(name)
# Make sure future compilations will get the proper header and
# shared object files
compiler = configuration['compiler']
compiler.add_include_dirs(self.path.joinpath('include').as_posix())
compiler.add_libraries(self._default_libs)
libdir = self.path.joinpath('lib64').as_posix()
compiler.add_library_dirs(libdir)
compiler.add_ldflags('-Wl,-rpath,%s' % libdir)
def instrument(self, iet):
sections = FindNodes(Section).visit(iet)
# Transform the Iteration/Expression tree introducing Advisor calls that
# resume and stop data collection
mapper = {i: List(body=[Call(self._api_resume), i, Call(self._api_pause)])
for i in sections}
iet = Transformer(mapper).visit(iet)
return iet
[docs]class Timer(CompositeObject):
def __init__(self, name, sections):
super(Timer, self).__init__(name, 'profiler', Structure,
[(i, c_double) for i in sections])
[docs] def reset(self):
for i in self.pfields:
setattr(self.value._obj, i, 0.0)
return self.value
# Pickling support
_pickle_args = ['name', 'pfields']
_pickle_kwargs = []
class PerformanceSummary(OrderedDict):
"""
A special dictionary to track and quickly access performance data.
"""
def add(self, key, time, gflopss, gpointss, oi, ops, itershapes):
self[key] = PerfEntry(time, gflopss, gpointss, oi, ops, itershapes)
@property
def gflopss(self):
return OrderedDict([(k, v.gflopss) for k, v in self.items()])
@property
def oi(self):
return OrderedDict([(k, v.oi) for k, v in self.items()])
@property
def timings(self):
return OrderedDict([(k, v.time) for k, v in self.items()])
SectionData = namedtuple('SectionData', 'ops sops points traffic itershapes')
"""Metadata for a profiled code section."""
PerfEntry = namedtuple('PerfEntry', 'time gflopss gpointss oi ops itershapes')
"""Runtime profiling data for a :class:`Section`."""
[docs]def create_profile(name):
"""
Create a new :class:`Profiler`.
"""
level = configuration['profiling']
profiler = profiler_registry[level](name)
if profiler.initialized:
return profiler
else:
warning("Couldn't set up `%s` profiler; reverting to `basic`" % level)
profiler = profiler_registry['basic'](name)
# We expect the `basic` profiler to always initialize successfully
assert profiler.initialized
return profiler
# Set up profiling levels
profiler_registry = {
'basic': Profiler,
'advisor': AdvisorProfiler
}
configuration.add('profiling', 'basic', list(profiler_registry))
def locate_intel_advisor():
try:
path = Path(os.environ['ADVISOR_HOME'])
# Little hack: assuming a 64bit system
if path.joinpath('bin64').joinpath('advixe-cl').is_file():
return path
else:
warning("Requested `advisor` profiler, but couldn't locate executable")
return None
except KeyError:
warning("Requested `advisor` profiler, but ADVISOR_HOME isn't set")
return None


Preparation time
less than 30 mins
Cooking time
30 mins to 1 hour
Serves
Serves 4-6
This classic Italian soup will fill your family up with healthy vegetables and help them towards their five-a-day.
This meal when served as six portions provides 321 kcal, 17g protein, 27g carbohydrate (of which 8.5g sugars), 16.5g fat (of which 7g saturates), 6g fibre and 1.7g salt per portion.
Heat the oil in a large saucepan over a medium heat. Add the bacon and fry for 2-3 minutes, or until cooked and starting to brown.
Add the carrots, celery, garlic and onions and fry for 4-5 minutes. Add the potatoes and fry for 4-5 minutes, stirring occasionally, until softened.
Stir in the tomato purée and cook for 1 minute, then add the tomatoes, bouquet garni and stock and bring to the boil. Reduce the heat, then simmer gently for 30 minutes.
Add the courgettes and soup pasta and return to the boil. Reduce the heat, cover the pan with the lid, then simmer for 5-8 minutes, or until the pasta is tender. Discard the bouquet garni.
To serve, ladle the soup into bowls, then sprinkle over the parsley and Parmesan.


Texas high school football player fatally shot as he played video games
by Jackie SaloA 16-year-old Texas high school football player was shot and killed as he played video games at a house party, according to a report.
Marquel Ellis Jr., a sophomore at Allen High School, was struck by gunfire around 10 p.m. Saturday at a Plano home after a group of people were kicked out, the Fort Worth Star-Telegram reported.
The football player was rushed to the hospital, where he was later pronounced dead, according to the report.
Ellis’ family said he was an “innocent bystander” on a GoFundMe page launched to raise money for his funeral.
“He was (an) innocent bystander playing video games and (his) life was cut” short,” the page said, according to the newspaper.
School officials released a statement Sunday confirming his death.
“We were notified earlier today of the tragic incident that took the life of Marquel Ellis, Jr.,” the school said in a statement. “Marquel was a sophomore at Allen High School. The school has arranged for counselors to be available for students and staff on Monday morning.”


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Before Change
U.shape)
// Weighting Filter Outputs
Q2 = tf.add_n([Q1 * w for Q1, w in zip(Q1, kernel_weights)])
// Compatibility Transform
spatial_dim = infer_spatial_rank(U)
assert spatial_dim == 2 or 3, \
"Currently CRFAsRNNLayer supports 2D/3D images."
full_stride = expand_spatial_params(1, spatial_dim)
Q3 = tf.nn.convolution(input=Q2,
filter=mu,
strides=full_stride,
padding="SAME")
// Adding Unary Potentials
Q4 = U - Q3
// output logits, not the softmax
return Q4
def permutohedral_prepare(position_vectors):
After Change
:return: updated mean-field distribution
batch_size, n_ch = U.shape.as_list()[0], U.shape.as_list()[-1]
n_voxels = np.prod(U.shape.as_list()[:-1])
H1 = tf.reshape(tf.nn.softmax(H1), [batch_size, -1, n_ch])
Q1 = 0
for idx, permutohedral in enumerate(permutohedrals):