Efficient estimation of stochastic interventional (in)direct effects
medoutcon(
W,
A,
Z,
M,
Y,
obs_weights = rep(1, length(Y)),
ext_weights = NULL,
effect = c("direct", "indirect"),
contrast = NULL,
g_learners = sl3::Lrnr_glm_fast$new(),
h_learners = sl3::Lrnr_glm_fast$new(),
b_learners = sl3::Lrnr_glm_fast$new(),
q_learners = sl3::Lrnr_glm_fast$new(),
r_learners = sl3::Lrnr_glm_fast$new(),
u_learners = sl3::Lrnr_hal9001$new(max_degree = 5),
v_learners = sl3::Lrnr_hal9001$new(max_degree = 5),
estimator = c("tmle", "onestep"),
estimator_args = list(cv_folds = 5, max_iter = 5, tiltmod_tol = 10)
)
Arguments
| W |
A matrix , data.frame , or similar object corresponding
to a set of baseline covariates. |
| A |
A numeric vector corresponding to a treatment variable. The
parameter of interest is defined as a location shift of this quantity. |
| Z |
A numeric vector corresponding to an intermediate confounder
affected by treatment (on the causal pathway between the intervention A,
mediators M, and outcome Y, but unaffected itself by the mediators). |
| M |
A numeric vector, matrix , data.frame , or
similar corresponding to a set of mediators (on the causal pathway between
the intervention A and the outcome Y). |
| Y |
A numeric vector corresponding to an outcome variable. |
| obs_weights |
A numeric vector of observation-level weights.
The default is to give all observations equal weighting. |
| ext_weights |
A numeric vector of observation-level weights that
have been computed externally, such as survey sampling weights. Such
weights are used in the construction of re-weighted efficient estimators. |
| effect |
A character indicating whether to compute the direct
or the indirect effect as discussed in <https://arxiv.org/abs/1912.09936>.
This is ignored when the argument contrast is provided. By default,
the direct effect is estimated. |
| contrast |
A numeric double indicating the two values of the
intervention A to be compared. The default value of NULL has
no effect, as the value of the argument effect is instead used to
define the contrasts. To override effect , provide a numeric
double vector, giving the values of a' and a*, e.g., c(0, 1) . |
| g_learners |
A Stack object, or other learner class
(inheriting from Lrnr_base ), containing instantiated
learners from sl3; used to fit a model for the propensity score. |
| h_learners |
A Stack object, or other learner class
(inheriting from Lrnr_base ), containing instantiated
learners from sl3; used to fit a model for a parameterization of the
propensity score that conditions on the mediators. |
| b_learners |
A Stack object, or other learner class
(inheriting from Lrnr_base ), containing instantiated
learners from sl3; used to fit a model for the outcome regression. |
| q_learners |
A Stack object, or other learner class
(inheriting from Lrnr_base ), containing instantiated
learners from sl3; used to fit a model for a nuisance regression of
the intermediate confounder, conditioning on the treatment and potential
baseline covariates. |
| r_learners |
A Stack object, or other learner class
(inheriting from Lrnr_base ), containing instantiated
learners from sl3; used to fit a model for a nuisance regression of
the intermediate confounder, conditioning on the mediators, the treatment,
and potential baseline confounders. |
| u_learners |
A Stack object, or other learner class
(inheriting from Lrnr_base ), containing instantiated
learners from sl3; used to fit a pseudo-outcome regression required
for in the efficient influence function. |
| v_learners |
A Stack object, or other learner class
(inheriting from Lrnr_base ), containing instantiated
learners from sl3; used to fit a pseudo-outcome regression required
for in the efficient influence function. |
| estimator |
The desired estimator of the direct or indirect effect (or
contrast-specific parameter) to be computed. Both an efficient one-step
estimator using cross-fitting and a cross-validated targeted minimum loss
estimator (TMLE) are available. The default is the TML estimator. |
| estimator_args |
A list of extra arguments to be passed (via
... ) to the function call for the specified estimator. The default
is chosen so as to allow the number of folds used in computing the one-step
or TML estimators to be easily adjusted. In the case of the TML estimator,
the number of update (fluctuation) iterations is limited, and a tolerance
is included for the updates introduced by the tilting (fluctuation) models. |


Previous: Array Concepts, Up: Arrays
| • array: | ||
| • simple-array: | ||
| • vector (System Class): | ||
| • simple-vector: | ||
| • bit-vector: | ||
| • simple-bit-vector: | ||
| • make-array: | ||
| • adjust-array: | ||
| • adjustable-array-p: | ||
| • aref: | ||
| • array-dimension: | ||
| • array-dimensions: | ||
| • array-element-type: | ||
| • array-has-fill-pointer-p: | ||
| • array-displacement: | ||
| • array-in-bounds-p: | ||
| • array-rank: | ||
| • array-row-major-index: | ||
| • array-total-size: | ||
| • arrayp: | ||
| • fill-pointer: | ||
| • row-major-aref: | ||
| • upgraded-array-element-type: | ||
| • array-dimension-limit: | ||
| • array-rank-limit: | ||
| • array-total-size-limit: | ||
| • simple-vector-p: | ||
| • svref: | ||
| • vector: | ||
| • vector-pop: | ||
| • vector-push: | ||
| • vectorp: | ||
| • bit: | ||
| • bit-and: | ||
| • bit-vector-p: | ||
| • simple-bit-vector-p: |
Previous: Array Concepts, Up: Arrays


Correct!
{{correctQuestionAnswer.text}}
You answered incorrect.
{{questionAnswer.text}}
Correct answer:
Failed loading data.


| Nonaqueous Na–O
2 cell
|
| Diamond‐like carbon |
≈1.5 |
|
62 |
0.1 C |
|
67
|
| Graphene nanosheet |
1.6 |
|
61 |
300 mA g
−1
|
|
[qv: 19l] |
| Carbon paste |
1.8 |
|
56 |
|
|
68
|
| Carbon‐fiber |
0.2 |
|
92 |
120 µA cm
−2
|
05 |
[qv: 6c] |
| Carbon nanotube paper |
0.2 |
|
92 |
0.1 mA cm
−2
|
|
[qv: 56c] |
| N‐doped graphene |
1.4 |
|
61 |
75 mA g
−1
|
03 |
[qv: 19i] |
| Carbon black |
2.4 |
|
47 |
200 mA g
−1
|
20 |
69
|
| N‐CNT |
1.95 |
|
53 |
75 mA g
−1
|
50 |
[qv: 19k] |
| Pt@graphene |
1.1 |
|
68 |
0.1 mA cm
−2
|
10 |
70
|
| CaMnO
3/C
|
1.8 |
|
55 |
100 mA g
−1
|
80 |
[qv: 19j] |
| CNT/Ni with NaI |
1.5 |
|
55 |
0.05 mA cm
−2
|
150 |
71
|
| Mesoporous carbons |
2.5 |
|
42 |
100 mA g
−1
|
20 |
72
|
| Ni
2Co
2O
4 nanosheet/Ni foam
|
0.9 |
|
|
20 mA g
−1
|
10 |
73
|
| α‐MnO
2 NWs
|
1.4 |
|
|
0.5 C |
55 |
74
|
| Co
3O
4 NWs/C/ferrocene
|
0.8 |
|
73 |
0.05 mA cm
−2
|
570 |
75
|
| CoO/CoP |
0.7 |
|
76 |
500 mA g
−1
|
|
22
|
| CoB/CNT |
0.7 |
|
76 |
100 mA g
−1
|
74 |
76
|
| m‐RuO
2‐B‐rGO
|
0.7 |
|
|
0.05 mA cm
2
|
100 |
77
|
| Mesoporous boron‐doped onion‐like carbon |
|
|
80 |
0.3 mA cm
−2
|
125 |
78
|
| N‐doped carbon |
|
|
|
|
|
|
| Hybrid Na–air battery |
|
|
|
|
|
|
| Pt mesh |
|
4–5 mW cm
−2
|
|
|
|
44
|
| Pd‐catalyzed graphite plate |
|
10 mW cm
−2
|
|
|
|
44
|
| Mn
3O
4 catalyzed carbon
|
|
21 mW cm
−2
|
|
|
|
42
|
| Nanoporous gold |
≈0.7 |
12.4 mW cm
−2
|
≈79 |
0.5 mA cm
−2
|
22 |
52
|
| Pt/C |
0.53 |
|
84.3 |
0.025 mA cm
−2
|
18 |
53
|
| Co
3(PO
4)
2
|
0.59 |
|
83 |
0.05 mA cm
−2
|
50 |
54
|
| Graphitic nanoshell/mesoporous carbon |
0.115 |
|
96.2 |
|
10 |
37
|
| MnO
2 NWs/rGO/carbon paper
|
0.7 |
|
81 |
15 mA g
−1
|
20 |
36
|
| VO
2/rGO/carbon paper
|
0.64 |
0.26 mW cm
−2
|
81 |
4 mA g
−1
|
50 |
43
|
| MnCo
2O
4/N‐doped rGO
|
0.39 |
|
87 |
0.13 mA cm
−2
|
20 |
59
|
| 3D SnS
2 nanopetals
|
0.52 |
300 mW g
−1
|
83 |
5 mA g
−1
|
40 |
60
|
| Mn
3O
4/C
|
0.7 |
27.6 mW cm
−2
|
≈78 |
1 mA cm
−2
|
5 |
79
|
| Exfoliated graphene sheet |
|
13.8 mW cm
−2
|
|
|
|
58
|
| MOF derived NCNTs |
0.3 |
|
87 |
0.1 mA cm
−2
|
35 |
31
|
| NCNTs |
0.77 |
|
77 |
0.1 mA cm
−2
|
|
|
| Co‐CNTs |
0.67 |
|
80 |
0.1 mA cm
−2
|
|
|
| RuO
2
|
0.5 |
|
84 |
0.1 mA cm
−2
|
|
|
| MWCNTs |
0.9 |
|
74 |
0.1 mA cm
−2
|
|
|
| Bi
2Ru
2O
7
|
0.211 |
156.3 mW g
−1
|
93.58 |
0.01 mA cm
−2
|
50 |
63
|
| Tl
2Rh
2O
7
|
0.208 |
159.9 mW g
−1
|
93.65 |
0.01 mA cm
−2
|
50 |
64
|
| Phosphate‐ion functionalized Bi
2Rh
2O
6.8
|
0.17 |
181.2 mW g
−1
|
94.9 |
0.01 mA cm
−2
|
50 |
62
|
| Pt/C
c)
|
0.3 |
34.9 mW cm
−2
|
90 |
0.13 mA cm
−2
|
30 |
44
|
| 40 wt% Pt/C
d)
|
0.14 |
39 mW cm
−2
|
95.3 |
0.1 mA cm
−2
|
80 |
47
|
| Ni nanoparticle |
0.57 |
|
80.3 |
0.1 mA cm
−2
|
100 |
61
|
| Hollow double walled Mn
2O
3 nanocubes
|
0.33 |
200 mW g
−1
|
90 |
5 mA g
−1
|
75 |
65
|
| N,S‐doped carbon nanospheres
e)
|
0.56 |
203 mW g
−1
|
84 |
5 mA g
−1
|
100 |
[qv: 2e] |
a)
Overpotential gap calculation based on charge–discharge voltage plateau
b)
Round trip efficiency calculation based on charge–discharge voltage plateau
c)
Acidic electrolyte‐based hybrid Na–air cell
d)
Anode is liquid anode (metallic Na is dissolved in biphenyl)
e)
The catholyte here was seawater and air were continuously purged in catholyte.


Implementations that extend the language by providing additional mutator functions (or additional behavior for existing mutator functions) must document how the use of these extensions interacts with equivalence tests and hash table searches.
Implementations that extend the language by defining additional acceptable equivalence tests for hash tables (allowing additional values for the :test argument to make-hash-table) must document the visible components of these tests.


Welcome to Yummy Brummy! We are a group of girls on a mission to help you discover new and exciting places to eat within Birmingham. Whatever cuisine you're looking for, we hope to help you discover something new or rediscover old favourites! As well as this, we're encouraging you to get in the kitchen by sharing some of our favourite recipes to help you bring the restaurant experience to the comforts of your own home!


FAVORITE
IU
MAKE
Music
Picture
Cooking
Programing
More Informaion
Black tea
Straight tea
Milk tea
Twinings, Earl Gray Tea
Lipton, Yello Label Tea(+Milk)
☆Twinings, Prince of Wales
Book
Harry Potter
Sherlock Holmes
Nudge
Adonis
Artroad
J.K.Lolling
Conan Doyle
Richard Thaler
남혜인
김물길
Game
Final Fantasy XIV
Human: Fall Flat
Portal
Lord of Heroes


Coronavirus COVID-19 Growth after first 100 infects
Germany
Singapore
Netherlands
Spain
Italy
Switzerland
Norway
Malaysia
Pakistan
Israel
Brazil
US
South Korea
Thailand
Select scope
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
MAX
days.
Load data
Source data:
Coronavirus COVID-19 Data Repository by Johns Hopkins CSSE
|
(Raw data)


Code Snippets
This is a collection of code snippets collected mostly from questions and answers from the mailing list<EMAIL_ADDRESS>Categories
We have already collected several code snippets and under the Code Snippet Base you can see the for what the snippets are good for!
How to Contribute
We strongly encourage everybody who asks a question on<EMAIL_ADDRESS>and who gets sufficient answers to summarize the answers either with the snippet creator or manually in the following template and send the xml code snippet (DTD for validation) to<EMAIL_ADDRESS>
<!ELEMENT snippet ( keywords, authors, versions?, operating-systems?, question, answer, changelog ) >
<!ATTLIST snippet
language [1] ( OOBasic|Java|Cpp|Python|OLE ) #REQUIRED
application [2] ( Writer|Calc|Impress|Draw|Office|Database ) #REQUIRED >

<!ELEMENT keywords [3] ( keyword+ ) >
<!ELEMENT keyword (#PCDATA)>

<!ELEMENT authors ( author+ ) > [4]
<!ELEMENT author (#PCDATA)>
<!ATTLIST author
id [5] ID #REQUIRED
initial [6] CDATA #IMPLIED
email [7] CDATA #REQUIRED
copyright [8] CDATA #IMPLIED>

<!ELEMENT question [9] (#PCDATA|p|listing)*>
<!ATTLIST question
heading [10] CDATA #REQUIRED>

<!ELEMENT answer [11] ( p|listing )+>

<!ELEMENT p ( #PCDATA|a|b|ul|code )*>
<!ELEMENT listing [12] ( #PCDATA )* >

<!ELEMENT changelog ( change+ )>

<!ELEMENT change [13] ( #PCDATA ) >
<!ATTLIST change
author-id [14] IDREF #REQUIRED
date [15] CDATA #REQUIRED>

<!ELEMENT a (#PCDATA)>
<!ATTLIST a
href CDATA #REQUIRED>
<!ELEMENT versions (version+)>
<!ELEMENT version [16] EMPTY>
<!ATTLIST version
number [17] CDATA #REQUIRED
status [18] (tested|untested|may_work|can_not_work)>
<!ELEMENT operating-systems (operating-system+)>
<!ATTLIST operating-system
name [19] (Win32|Linux|Solaris|MacOSX|All)>

<!ELEMENT b (#PCDATA)>
<!ELEMENT ul (li+)>
<!ELEMENT li (#PCDATA)>
<!ELEMENT code (#PCDATA)>
|
- [1] - Programming Language
- Name the programming language which is used for this code snipped, here.
E.g. "OOBasic", "Java", "Cpp",
"Python", ...
- [2] - Application
- Name the OOo application to which the code snippet applies, here.
E.g. "Writer", "Calc", "Impress",
"Draw", "Office", "Database".
Use "Office" if it is generic.
- [3] - Keywords
- Put as many sensible keywords into this section as possible, each keyword in a separate element.
- [4] - List of authors/contributors
- Use for each author/contributor a separatr element.
- [5] - Id
- Use your OpenOffice user name here.
- [6] - Initial
- List the initial writers in this form (with initial="true").
Initial Writers is a term from the PDL (License).
If one of these authors assigned copyright to somebody else, e.g.
the company they are working for, use the attribute copyright="...
" and name the copyright holder.
- [7] - Email
- Use your email address here.
- [8] - Copyright
- Insert here your copyright if necessary.
- [9] - Question
- Put the part of the question which should be part of the overview index, as a direct child of the <question>...</question> element.
For further explanation you can use child elements, like
...
 or <listing>...</listing>.
- [10] - Heading
- Insert a short heading (abstract) here to identify the snippet (e.g. in the navigation overview).
- [11] - Answer
- Put the answer below this tag enclosed into
...
. You could use as many
's as you want, nesting of
-Tags is not allowed.
- [12] - Code Listing
- Use <listing>...</listing> for your code listing itself.
This tag will include
, thus line breaks in the source will be interpreted as such.
- [13] - Change
- Use this element to show changes.
- [14] - Author-id
- The ID of the author who has mamde the change.
- [15] - Date
- The date of the change.
- [16] - Version
- Use one or more version elements to show history.
- [17] - Number
- Used for the verison number
- [18] - Status
- Used to show the status of this version. Valid entires are
"tested", "untested", "may_work",
"can_not_work"
- [20] - Platform
- Used to idnetiy the platform. Ideally the snippet contains no platform
specific code. Valid platforms are "Win32", "Linux",
"Solaris", "MacOSX", "All".
Open-Source-Software is free as in free speech, not necessary free as in free beer.
Thus, please pay those community members who answer your questions by contributing the summary.
If most community members support this system of collecting code snippets, we soon will have a great collection of such.
Of course, if you answer a question, you are welcome to use the template as well.


Competitive Programming
Google Code Jam 2016
Result : Cleared Qualification Round
Qualified for Round 1 of Google Code Jam 2016. My Rank was 14331 of 27000 people who qualified for Round 1 from all over the world.
- Competitions: 30
- Rating: 1377(Max.)
- Competitions: 15
- Contest Rating: 1423
- Competitions: 3
- Rating: 663
- Problems Solved: 149
- Rating: 1460
- Problems Solved: 15
- Global Rank: 27230
- Long Ranking: 56455 / 44794
- Short Ranking: 30565 / 25961


JS5 - End To End
This is my freedomains.dev page to host my solutions for the JS5 Challenges from C0D3.
Click on the buttons on the bottom of the cards to see each challenge in action!
Contact: @ggwadera in chat.c0d3.com.
Challenge 1
IP Geolocation
Code an API route to show a map with a geolocation using the request IP.
Challenge 2
Commands
Create a route that takes in an input box that lets you execute commands directly on your server.
Challenge 4
Asset Creation
Build APIs for powering the text editing site.
Challenge 5
Chatroom using JWT Auth
Build a chatroom using third-party authentication.
Challenge 8
Selfie Queen
Build an application where users can go to your website and take a picture.
Challenge 9
Create a MemeChat
Final Project: Complete a chatroom.


| lib/ |
|
94.12% |
(48 / 51) |
100% |
(2 / 2) |
70% |
(7 / 10) |
94.12% |
(48 / 51) |
| lib/common/ |
|
97.06% |
(33 / 34) |
25% |
(2 / 8) |
100% |
(0 / 0) |
97.06% |
(33 / 34) |
| lib/common/diagnostics/ |
|
81.82% |
(27 / 33) |
75% |
(3 / 4) |
45.45% |
(5 / 11) |
81.82% |
(27 / 33) |
| lib/common/filters/ |
|
82.57% |
(90 / 109) |
57.73% |
(56 / 97) |
100% |
(12 / 12) |
82.57% |
(90 / 109) |
| lib/common/http/ |
|
88.5% |
(100 / 113) |
69.09% |
(38 / 55) |
81.82% |
(18 / 22) |
88.5% |
(100 / 113) |
| lib/common/models/ |
|
96.24% |
(205 / 213) |
74.15% |
(109 / 147) |
100% |
(17 / 17) |
96.24% |
(205 / 213) |
| lib/common/services/ |
|
89.32% |
(602 / 674) |
78.71% |
(281 / 357) |
90.53% |
(86 / 95) |
89.39% |
(598 / 669) |
| lib/common/signing/ |
|
89.44% |
(144 / 161) |
57.14% |
(52 / 91) |
94.74% |
(18 / 19) |
89.44% |
(144 / 161) |
| lib/common/streams/ |
|
81.94% |
(635 / 775) |
64.4% |
(208 / 323) |
84.54% |
(82 / 97) |
83.44% |
(635 / 761) |
| lib/common/util/ |
|
79.69% |
(357 / 448) |
71.36% |
(152 / 213) |
78.95% |
(75 / 95) |
79.6% |
(355 / 446) |
| lib/services/blob/ |
|
93.01% |
(1651 / 1775) |
72.22% |
(390 / 540) |
96.71% |
(323 / 334) |
92.71% |
(1538 / 1659) |
| lib/services/blob/internal/ |
|
86.09% |
(99 / 115) |
51.06% |
(24 / 47) |
100% |
(11 / 11) |
86.73% |
(98 / 113) |
| lib/services/blob/models/ |
|
96.73% |
(148 / 153) |
86.05% |
(74 / 86) |
95% |
(19 / 20) |
96.73% |
(148 / 153) |
| lib/services/file/ |
|
86.83% |
(1233 / 1420) |
56.65% |
(196 / 346) |
93.54% |
(246 / 263) |
86.26% |
(1143 / 1325) |
| lib/services/file/internal/ |
|
33.33% |
(6 / 18) |
0% |
(0 / 4) |
0% |
(0 / 1) |
33.33% |
(6 / 18) |
| lib/services/file/models/ |
|
100% |
(99 / 99) |
85.37% |
(35 / 41) |
100% |
(17 / 17) |
100% |
(99 / 99) |
| lib/services/queue/ |
|
82.52% |
(354 / 429) |
56% |
(56 / 100) |
85.87% |
(79 / 92) |
82.03% |
(324 / 395) |
| lib/services/queue/models/ |
|
96.72% |
(59 / 61) |
90% |
(27 / 30) |
100% |
(9 / 9) |
96.72% |
(59 / 61) |
| lib/services/table/ |
|
85.05% |
(472 / 555) |
64.58% |
(93 / 144) |
86.99% |
(107 / 123) |
85.12% |
(452 / 531) |
| lib/services/table/internal/ |
|
92.51% |
(210 / 227) |
86.62% |
(136 / 157) |
100% |
(17 / 17) |
92.51% |
(210 / 227) |
| lib/services/table/models/ |
|
100% |
(136 / 136) |
90% |
(54 / 60) |
100% |
(16 / 16) |
100% |
(136 / 136) |


{{trip.title}}
{{trip.startDate | date: 'longDate'}}
{{trip.endDate | date: 'longDate'}}
{{place}}
You do not have trips yet. Create an amazing trip now!


Send email form
{% if response %}
{{response}}
{% endif %}
From:
Reply To:
To (comma separated):
Subject:
Body:
Asynchronous
Submit


{{ define "content" }}
The Mesh Configuration Protocol (MCP) server state for this process. MCP can serve multiple different types of snapshots to different clients.


Mono(mconfig) Mono(mconfig) NAME mconfig, - Utility for modifying .NET configuration files SYNOPSIS mconfig [options] command [command_parameters] DESCRIPTION mconfig can be used to edit .NET configuration files, by adding "fea‐ tures" (that is sets of xml statements) defined in one of the config files read by mconfig. The config file can also define layouts of default configuration files, which may be useful for bootstrapping your .NET projects. To see the list of recognized commands, default configuration files and features, run mconfig without passing any parameters. OPTIONS -c <config_file>, --config=<config_file> Read the specified config file after reading the other, preconfig‐ ured, config files for the utility. Settings in the specified file override those found in the other configuration locations. -t {any | web | application}, --target={any | web | application} Features and default configuration files defined in the mconfig config file(s) can be assigned to one of the three targets - web (for ASP.NET features/config files), application - for .NET appli‐ cations, any - applicable in both of the previous targets. Defaults to any. -?, -h, --help Show a summary usage screen. -v, --version Show the mconfig version COMMANDS {addfeature, af} <feature_name> [config_file_path] Adds the feature named <feature_name> to the specified config file. If [config_file_path] is omitted, the name of the output configuration file will be chosen based on the selected target (see the -t option). The web target outputs configuration to file named Web.config, and the application target outputs to file named application.exe.config. The any target does not have a default output file. If the specified config file exists, the feature will be injected into it at the locations specified by mconfig configuration. If the target config file does not exist, it will be created and will contain only the specified feature and all its dependencies. {defaultconfig, dc} [config_name [target_directory]] Generates a default config file using the configuration entry named [config_name] and outputs the resulting configuration file to the directory given by the [target_directory] option. If [con‐ fig_name] is omitted, it defaults to Web.config for the web target and application target. The any target does not specify any default output configuration name. If the [target_directory] parameter is omitted, it defaults to the current directory. Name of the output config file created in [target_directory] is given in the config file layout definition. FILES Config files are read in the order given below. Each subsequent file may override settings found in the files read before it. $prefix/etc/mono/mconfig/config.xml The default configuration file, distributed with mconfig. $prefix is the mconfig installation prefix specified on the compilation time. $config_dir/mconfig/config.xml $config_dir is the directory specified in the XDG_CONFIG_HOME environment variable or, if it is empty, in the .config directory located in the user's home directory. This file is not distributed with Mono. ./mconfig.xml Local configuration file which can contain per-application set‐ tings. SEE ALSO mconfig.config (5) AUTHOR Written by Marek Habersack COPYRIGHT Copyright (C) 2007 Novell, Inc (http://www.novell.com) MAILING LISTS Visit http://lists.ximian.com/mailman/listinfo/mono-devel-list for details. WEB SITE Visit: http://www.mono-project.com for details Mono(mconfig)


LucasFilm Reveals New 'Star Wars: Rise of Skywalker' Character Posters
Showcasing the cast and characters involved in the final Skywalker-centric film.
by Isaac RouseFollowing the reveal of several new photos and covers, Disney and Lucasfilm have now released the character posters for the upcoming Star Wars: Rise of Skywalker film. The artworks below showcase each character from the upcoming movie, including main characters Rey, Poe, Finn, and Kylo Ren alongside mainstay figures like R2D2 and C3PO. Newcomers such as Zorii Bliss and Jannah received their own character posters as well.
Notably missing are Emperor Palpatine, Luke Skywalker and General Leia Organa. These posters were revealed via social media, where each name received its own hashtag and specialized emoji on Twitter. On Instagram, the official Dolby Cinema poster for the film was revealed as well, which sees a single X-Wing up against a huge fleet of First Order ships.
Star Wars: Rise of Skywalker is slated to arrive on December 20.
In related Star Wars news, Samsung created a Kylo Ren-inspired edition of its Galaxy Note10+.


Facebook helps you connect and share with the people in your life.
Create a Page for a celebrity, and band or business.


In a recent South Park episode, Butters had to filter out negative tweets for different accounts.
Instead of Butters, we'll use a sentiment analysis library!


More details about how to create these expressions can be found here.
Will run {{validation.messages.description}}


shells - pathnames of valid login shells
/etc/shells is a text file which contains the full pathnames of valid
login shells. This file is consulted by chsh(1) and available to be
queried by other programs.
Be aware that there are programs which consult this file to find
out if a user is a normal user; for example, FTP daemons traditionally
disallow access to users with shells not included in this file.
/etc/shells may contain the following paths:
/bin/sh
/bin/bash
/bin/csh
chsh(1), getusershell(3), pam_shells(8)
This page is part of release 5.05 of the Linux man-pages project. A
description of the project, information about reporting bugs, and the latest
version of this page, can be found at https://www.kernel.org/doc/man-pages/.


Icons for heat transfer calculation
| Name | Description |
|---|---|
| Gap1_d | Geometry figure for gap |
| HelicalPipe1_d | Geometry figure for helical pipe |
| Plate1_d | Geometry figure 1 for plate |
| Plate2_d | Geometry figure 2 for plate |
| Channel_i | Icon for heat transfer in a channel |
| General_i | Icon for general heat transfer component |
| HeatExchanger_i | Icon for heat transfer of a heat exchanger |
| HelicalPipe_i | Icon for heat transfer in a helical pipe |
| Plate_i | Icon for heat transfer of a plate |
| StraightPipe_i | Icon for heat transfer of a straight pipe |


Discord Shortened Links
Articles
Blogposts
External Websites
Forms
Server Invites
Store Pages
Websites
Shortlink
Type
Description
Redirect
Usefulness


| Lecture | Title | Description | Notes | Code | |
|---|---|---|---|---|---|
| NA | Review | Stuff you should know: Basics of probability, the central limit theorem, and inference | NA | ||
| 1 | Introduction to Regression and Prediction | We will describe linear regression in the context of a prediction problem. | R | ||
| 2 | Overview of Supervised Learning | Regression for predicting bivariate data, K nearest neighbors (KNN), bin smoothers, and an introduction to the bias/variance trade-off. | R | ||
| 3-4 | Linear Methods for Regression | Subset selection and ridge regression. We will use singular value decomposition (SVD) and principal component analysis (PCA) to understand these methods. | R | ||
| 5 | Linear Methods for Classification | Linear Regression, Linear Discriminant Analysis (LDA), and Logisitc Regression | R | ||
| 6 | Kernel Methods | Kernal smoothers including loess. We will briefly describe 2 dimensional smoothers. We will also define degrees of freedom in the context of smoothing and learn about density estimators. | R | ||
| 7 | Model Assessment and Selection | We revist the bias-variance tradeoff. We describe how monte-carlo simulations can be used to assess bias and variance. We then introduce cross-validation, AIC, and BIC. | R | ||
| 8 | The Bootstrap | We give a short introduction to the bootstrap and demonstrate its utility in smoothing problems. | R | ||
| 9-10 | Splines, Wavelets, and Friends | We give intuitive and mathematical description of Splines and Wavelets. We use the SVD to understand these better and see connections with signal processing methods. | R | ||
| 11-12 | Additive Models, GAM and Neural Networks | We move back to cases with many covariates. We introduce projection pursuit, additive models as well as generalized additive models. We breifly describe neural networks and explain the connection to projection pursuit. | NA | ||
| 13-14 | CART, Boosting and Additive Trees | We introduce classification algorithms and regression trees (CART) as well as the more modern versions such as random forrests. | archive for CART, archive for others | ||
| 15 | Model Averaging | Bayesian Statistics, Boosting and Bagging | NA | ||
| 16 | Clustering algorithms | Notes and code taking from my My microarray class | R |
Homework:
If your field is mathematical (statistics, biostatistics, engineering,etc..) then look through the top journal of your favorite public health application. If you don't have one then use American Journal of Epidemiology (there should be plenty of regrssion analyses in this journal).
Data-sets:


Arizona police officers save kittens doused with gasoline
by Bob D’Angelo, Cox Media Group National Content DeskPHOENIX — A pair of Arizona police officers helped rescue two kittens that were soaked with gasoline and thrown from a plastic bag, authorities said.
The two members of the Phoenix Police Department found the kittens and took them to the Arizona Humane Society for care, the Arizona Republic reported.
The person believed to be responsible for putting the kittens in the bag was described by police as a woman, approximately 50 years old, with dreadlocks, KSAZ reported. The woman was also wearing black shorts and a black shirt, the television station reported.
The woman has not been located, KNXV reported.


Full Name: {{repo.full_name}}
Homepage: {{repo.homepage}} none
Language: {{repo.language}}
Created at: {{repo.created_at | date: 'medium'}}
Forks: {{repo.forks_count}}
Stars: {{repo.stargazers_count}}
Watchers: {{repo.watchers}}
Open Issues: {{repo.open_issues_count}}


The Aegis JS Library provides multiple classes for different purposes which work well with any other JS library.
This module handles DOM Manipulation in jQuery-like way.
{{> DOM}}The notification module uses the new HTML5 notifications API and may not work in some browsers.
This module handles HTTP requests.
{{> jsRequest}}The screen module takes care of checking information from the device's screen.
{{> jsScreen}}The storage module uses the HTML5 Local Storage and deals with the related tasks.
{{> jsStorage}}The text module takes care of text-related tasks and functionalities.
{{> jsText}}


Why was the diamond hidden in a cave?
Who hid it there?
Was it the Bond Brothers?
Could they be watching the cave?
Is the team safe?
Their camp is very remote.


{%block scripts%} {%endblock%}
{%block header%}
Home
Record
About
{%endblock%}
{%block content%}{%endblock%}


Course: {{review.courseTaken}}
Quality: {{review.qualityRating}}/5
Accommodations: {{review.accomRating}}/5
Inclusivity: {{review.inclusiveRating}}/5
Red Flags: None
Green Flags: None
Comment: {{review.text}}


I have to admit I struggled to keep it in mind. I would often remember it, but I was so focussed on figuring out the next problem that I would dive 'into the rabbit hole' and forget. To be fair on myself though, if the whole process is about learning, well then I certainly learned a lot of new stuff. If it's about being comfortable with imperfect products... well, I have a ways to go on that one. My site *isn't* perfect, but I can't pretend those niggles don't annoy me. But hey, I *did* leave it in an imperfect state and I haven't gone back to fix it up, so...
I also didn't timebox at all. Should try harder on that one. Overall, I give myself a B on 'Process over Product'.
A lot! I already do 20+ minutes a day. It's a very positive addition to my life and I really enjoy it. It's amazing how quickly your meditation skill improves when you do it regularly.
Taking five seconds between stimulus and reaction is a good idea. I often struggle with itches and sometimes with my feet going to sleep. A more skillful approach to dealing with this will help.
I also re-learned some of the seven points about posture. I do most of them already - my main focus is on sitting 'arrow' straight and keeping myself free from physical tension.
Not much - I'm already familiar with a lot of it. But it's good to reinforce the ideas about basic technique ("follow your breath...") and dealing with distraction ("Acknowledge..."), and also to remember that there's no such thing as bad meditation - it's all "flexing your mental muscles".
Search Inside Yourself is an interesting, easy read. I'm looking forward to checking out the later parts. I hope it has a fair bit to say about insight - I'm sure it will.


XDG Desktop Portal provides {{ nuvola.name }} with desktop integration. Install it with your
package manager or build it from the source code.
GNOME Software provides {{ nuvola.name }} makes the browsing and installation of Flatpaks
easier. Install it with your package manager or
build it from the source code.
Then restart your computer to add Flatpak paths alongside the system ones. Otherwise,
you may see strange errors. Unfortunately, just logging out and logging in is not enough.


To continue using the dashboard, please confirm that you agree to our terms of service.
We'd also like to occasionally send you newsletters about products & services, news & events.


Yesterday was an emotional roller coaster of brutality and awesomeness, mixed with a good share of productivity. The day started off innoculously enough. I checked my incoming tickets, went through my email for tasks to do on my projects, scrummed with the team, and enjoyed a delicious steak lunch on the house...
Waah? Steak lunch at Porterhouse? Thanks to our awesome admin, Jules, Kyle, Lee, and myself got to relax and chat over some juicy meat and a cold beer. I had an especially good time talking to Lee since I haven't made a big effort to talk to coworkers outside the dev team. It made me appreciate what it takes to run a company efficiently, and also what kinds of features other internal users care about. Kyle's sexy and all, but I get to see and talk to him everyday :).
Lunch was fantastic, but as I drew closer and closer to dinner time, the situation looked worse and worse. The planned upgrade time for our 105 customer environments was scheduled to occur at 6:00pm. I felt like I had a good grasp of the bugs I was working on, so I thought I'd lend a hand to the Operations team by making one of my slow migrations run faster so they could go home earlier. In doing so, I realized that my migration wasn't comprehensive enough to cover all the bad cases. I was super thankful that this bug was caught with only 15 minutes left before the scheduled downtime.
Of course, when I found this bug, I felt uneasy deploying the changes without some heavy duty QA. I thought I would stick around just to make sure the migrations wouldn't croak. I thought to myself, how long could this possibly take?
We started the process off by disabling customers from accessing the application and putting a placeholder HTML page. Seggy quickly cancel'ed this action because his phone started getting notifications from Pingdom because the site uptime checkers hadn't been paused. Next the migrations were run for all the instances and they seemed to work ok. I breathed a sigh of relief, and told Wendy that I'd be heading home at any moment...
An hour or so later, we were finally able to check off the verification tasks in Google Docs for some custom PDF template changes. These were super annoying to deal with and didn't work right away because we had bad merge data between trunk and stable. But we did finish, I breathed a fresh sigh, and I apologized to Wendy and reassured her again that I'd be leaving soon...
Another hour or so later, we solved custom LDAP mixin code for the single customer who used LDAP. Because we refactored out most of our config to use Simpleconfig, we were having issues deciding where to put the custom LDAP code. This lead to a wild goose chase because the load order of when the custom code was mixed in determined if it worked or not. Worse yet, we found another code error where the LDAP authentication code wasn't run at all. This took some diff-ing and merging to fix up.
I finally left the office 5 minutes to 11pm. My heart was pumping like mad from fixing those problems, my stomach was growling like crazy, and my brain was turning off at an exponential rate. It was quite a rush to help out with the deployment.  I understand why they were done, but if they weren't there, none of the problems would've shown up and we would've finished hours ago.
I had already thought Lee and Seggy were amazing coworkers, but now I have a new level of respect for them. I'm also super sorry to Wendy and Serena for putting up with us taking so long. I felt especially guilty that the custom PDF templates wasn't a smooth transition because I wrote the fixes for it.


Founded in 2011, Loopstudios has been producing world-class virtual reality projects for some of the best companies around the globe. Our award-winning creations have transformed businesses through digital experiences that bind to their brand.
Deep
earth
Night
Arcade
Soccer
team vr
the
grid
from up
above
pocket
borealis
the
curiosity
make it
fisheye


Yeah, I like animals better than people sometimes... Especially dogs. Dogs are the best. Every time you come home, they act like they haven't seen you in a year. And the good thing about dogs... is they got different dogs for different people. Like pit bulls. The dog of dogs. Pit bull can be the right man's best friend... or the wrong man's worst enemy.  Give me... Raoul. Right, Omar? Give me Raoul
Now that we know who you are, I know who I am. I'm not a mistake! It all makes sense! In a comic, you know how you can tell who the arch-villain's going to be? He's the exact opposite of the hero.  I should've known way back when... You know why, David? Because of the kids. They called me Mr Glass.


| < Day Day Up > |
We hope that this textbook provides you with an enjoyable introduction to the field of algorithms. We have attempted to make every algorithm accessible and interesting. To help you when you encounter unfamiliar or difficult algorithms, we describe each one in a step-by-step manner. We also provide careful explanations of the mathematics needed to understand the analysis of the algorithms. If you already have some familiarity with a topic, you will find the chapters organized so that you can skim introductory sections and proceed quickly to the more advanced material.
This is a large book, and your class will probably cover only a portion of its material. We have tried, however, to make this a book that will be useful to you now as a course textbook and also later in your career as a mathematical desk reference or an engineering handbook.
What are the prerequisites for reading this book?
You should have some programming experience. In particular, you should understand recursive procedures and simple data structures such as arrays and linked lists.
You should have some facility with proofs by mathematical induction. A few portions of the book rely on some knowledge of elementary calculus. Beyond that, Parts I and VIII of this book teach you all the mathematical techniques you will need.
| < Day Day Up > |


{% load i18n staticfiles %}
Book a consular appointment :: Netherlands Embassy in Beijing
{% block head %}{% endblock %}
{% block header %}
Schedule an appointment
{% include 'messages.html' %}
Remind me of my upcoming appointments →
{% endblock %}
{% block content %}{% endblock %}


{{ reason }}
Please enter the spreadsheet ID of your meta spreadsheet. Your meta spreadsheet should be in the root google drive directory.


20.7. Advanced CGIWe will now take a look at some of the more advanced aspects of CGI programming. These include the use of cookiescached data saved on the client sidemultiple values for the same CGI field and file upload using multipart form submissions. To save space, we will show you all three of these features with a single application. Let's take a look at multipart submissions first. 20.7.1. Multipart Form Submission and File UploadingCurrently, the CGI specifications only allow two types of form encodings, "application/x-www-form-urlencoded" and "multipart/form-data." Because the former is the default, there is never a need to state the encoding in the FORM tag like this: <FORM enctype="application/x-www-form-urlencoded" ...> But for multipart forms, you must explicitly give the encoding as: <FORM enctype="multipart/form-data" ...> You can use either type of encoding for form submissions, but at this time, file uploads can only be performed with the multipart encoding. Multipart encoding was invented by Netscape in the early days but has since been adopted by Microsoft (starting with version 4 of Internet Explorer) as well as other browsers. File uploads are accomplished using the file input type: <INPUT type=file name=...> This directive presents an empty text field with a button on the side which allows you to browse your file directory structure for a file to upload. When using multipart, your Web client's form submission to the server will look amazingly like (multipart) e-mail messages with attachments. A separate encoding was needed because it just would not be necessarily wise to "urlencode" a file, especially a binary file. The information still gets to the server, but it is just "packaged" in a different way. Regardless of whether you use the default encoding or the multipart, the cgi module will process them in the same manner, providing keys and corresponding values in the form submission. You will simply access the data through your FieldStorage instance as before. 20.7.2. Multivalued FieldsIn addition to file uploads, we are going to show you how to process fields with multiple values. The most common case is when you have a set of checkboxes allowing a user to select from various choices. Each of the checkboxes is labeled with the same field name, but to differentiate them, each will have a different value associated with a particular checkbox. As you know, the data from the user are sent to the server in key-value pairs during form submission. When more than one checkbox is submitted, you will have multiple values associated with the same key. In these cases, rather than being given a single MiniFieldStorage instance for your data, the cgi module will create a list of such instances that you will iterate over to obtain the different values. Not too painful at all. 20.7.3. CookiesFinally, we will use cookies in our example. If you are not familiar with cookies, they are just bits of data information which a server at a Web site will request to be saved on the client side, e.g., the browser. Because HTTP is a "stateless" protocol, information that has to be carried from one page to another can be accomplished by using key-value pairs in the request as you have seen in the GET requests and screens earlier in this chapter. Another way of doing it, as we have also seen before, is using hidden form fields, such as the action variable in some of the later friends*.py scripts. These variables and their values are managed by the server because the pages they return to the client must embed these in generated pages. One alternative to maintaining persistency in state across multiple page views is to save the data on the client side instead. This is where cookies come in. Rather than embedding data to be saved in the returned Web pages, a server will make a request to the client to save a cookie. The cookie is linked to the domain of the originating server (so a server cannot set or override cookies from other Web sites) and has an expiration date (so your browser doesn't become cluttered with cookies). These two characteristics are tied to a cookie along with the key-value pair representing the data item of interest. There are other attributes of cookies such as a domain subpath or a request that a cookie should only be delivered in a secure environment. By using cookies, we no longer have to pass the data from page to page to track a user. Although they have been subject to a good amount of controversy over the privacy issue, most Web sites use cookies responsibly. To prepare you for the code, a Web server requests a client store a cookie by sending the "Set-Cookie" header immediately before the requested file. Once cookies are set on the client side, requests to the server will automatically have those cookies sent to the server using the HTTP_COOKIE environment variable. The cookies are delimited by semicolons and come in "key=value" pairs. All your application needs to do to access the data values is to split the string several times (i.e., using string.split() or manual parsing). The cookies are delimited by semicolons ( ; ), and each key-value pair is separated by equal signs ( = ). Like multipart encoding, cookies originated from Netscape, which implemented cookies and wrote up the first specification, which is still valid today. You can access this document at the following Web site: Once cookies are standardized and this document finally obsoleted, you will be able to get more current information from Request for Comment documents (RFCs). The most current one for cookies at the time of publication is RFC 2109. 20.7.4. Using Advanced CGIWe now present our CGI application, advcgi.py, which has code and functionality not too unlike the friends3.py script seen earlier in this chapter. The default first page is a user fill-out form consisting of four main parts: user-set cookie string, name field, checkbox list of programming languages, and file submission box. An image of this screen can be seen in Figure 20-14. Figure 20-14. Upload and multivalue form page in IE5 on MacOS XFigure 20-15 shows another look at the form from another browser. From this form, we can enter our information, such as the sample data given in Figure 20-16. Notice how the text in the button to search for files differs between browsers, i.e., "Browse ...", "Choose", "...", etc. Figure 20-15. The same advanced CGI form but in Netscape4 on Linux
Figure 20-16. Submitting our advanced CGI demo form in Opera8 on Win32The data are submitted to the server using multipart encoding and retrieved in the same manner on the server side using the FieldStorage instance. The only tricky part is in retrieving the uploaded file. In our application, we choose to iterate over the file, reading it line by line. It is also possible to read in the entire contents of the file if you are not wary of its size. Since this is the first occasion data are received by the server, it is at this time, when returning the results page back to the client, that we use the "Set-Cookie:" header to cache our data in browser cookies. In Figure 20-17, you will see the results after submitting our form data. All the fields the user entered are shown on the page. The given file in the final dialog box was uploaded to the server and displayed as well. Figure 20-17. Results page generated and returned by the Web server in Opera4 on Win32
You will also notice the link at the bottom of the results page, which returns us to the form page, again using the same CGI script. If we click on that link at the bottom, no form data is submitted to our script, causing a form page to be displayed. Yet, as you can see from Figure 20-17, what shows up is anything but an empty form! Information previously entered by the user shows up! How did we accomplish this with no form data (either hidden or as query arguments in the URL)? The secret is that the data are stored on the client side in cookies, two in fact. The user cookie holds the string of data typed in by the user in the "Enter cookie value" form field, and the user's name, languages they are familiar with, and uploaded files are stored in the info cookie. When the script detects no form data, it shows the form page, but before the form page has been created, it grabs the cookies from the client (which are automatically transmitted by the client when the user clicks on the link) and fills out the form accordingly. So when the form is finally displayed, all the previously entered information appears to the user like magic (see Figure 20-18). Figure 20-18. Form page with data loaded from the Client cookies
We are certain you are eager to take a look at this application, so here it is, in Example 20.8. Example 20.8. Advanced CGI Application (advcgi.py)
advcgi.py looks strikingly similar to our friends3.py CGI scripts seen earlier in this chapter. It has a form, results, and error pages to return. In addition to all of the advanced CGI features that are part of our new script, we are also using more of an object-oriented feel to our script by using a class with methods instead of just a set of functions. The HTML text for our pages is now static data for our class, meaning that they will remain constant across all instanceseven though there is actually only one instance in our case. Line-by-Line (Block-by-Block) ExplanationLines 17The usual startup and import lines appear here. The only module you may not be familiar with is cStringIO, which we briefly introduced at the end of Chapter 10 and also used in Example 20.1. cStringIO.StringIO() creates a file-like object out of a string so that access to the string is similar to opening a file and using the handle to access the data. Lines 912After the AdvCGI class is declared, the header and url (static class) variables are created for use by the methods displaying all the different pages. Lines 1480All the code in this block is used to generate and display the form page. The data attributes speak for themselves. getCPPCookies() obtains cookie information sent by the Web client, and showForm() collates all the information and sends the form page back to the client. Lines 8291This block of code is responsible for the error page. Lines 93144The results page is created using this block of code. The setCPPCookies() method requests that a client store the cookies for our application, and the doResults() method puts together all the data and sends the output back to the client. Lines 146196The script begins by instantiating an AdvCGI page object, then calls its go() method to start the ball rolling, in contrast to a strictly procedural programming process. The go() method contains the logic that reads all incoming data and decides which page to show. The error page will be displayed if no name was given or if no languages were checked. The showForm() method is called to output the form if no input data were received, and the doResults() method is invoked otherwise to display the results page. Error situations are created by setting the self.error variable, which serves two purposes. It lets you set an error reason as a string and also serves as a flag to indicate that an error has occurred. If this value is not blank, the user will be forwarded to the error page. Handling the person field (lines 154159) is the same as we have seen in the past, a single key-value pair; however, collecting the language information is a bit trickier since we must check for either a (Mini)FieldStorage instance or a list of such instances. We will employ the familiar type() built-in function for this purpose. In the end, we will have a list of a single language name or many, depending on the user's selections. The use of cookies (lines 161165) to contain data illustrates how they can be used to avoid using any kind of CGI field pass-through. You will notice in the code that obtains such data that no CGI processing is invoked, meaning that the data do not come from the FieldStorage object. The data are passed to us by the Web client with each request and the values (user's chosen data as well as information to fill in a succeeding form with pre-existing information) are obtained from cookies. Because the showResults() method receives the new input from the user, it has the responsibility of setting the cookies, i.e., by calling setCPPCookies(). showForm(), however, must read in the cookies' values in order to display a form page with the current user selections. This is done by its invocation of the getCPPCookies() method. Finally, we get to the file upload processing (lines 178187). Regardless of whether a file was actually uploaded, FieldStorage is given a file handle in the file attribute. On line 180, if there was no filename given, then we just set it to a blank string. If the value attribute is accessed, the entire contents of the file will be placed into value. As a better alternative, you can access the file pointerthe file attributeand perhaps read only one line at a time or other kind of slower processing. In our case, file uploads are only part of user submissions, so we simply pass on the file pointer to the doResults() function to extract the data from the file. doResults() will display only the first 1K of the file for space reasons and to show you that it is not necessary (or necessarily productive/useful) to display a four-megabyte binary file. |


It's my birthday!
Posted on Jan. 1st 2020 by Adam.
I am so excited that it's my birthday today!


KMLFilesBloc class
Bloc structure for handling KML data.
Constructors
- KMLFilesBloc(FileRequests fileRequests, SQLDatabase database)
Properties
- database → SQLDatabase
-
Instance of SQLDatabase to get KML data from local storage.
final
- fileRequests → FileRequests
-
Instance of FileRequests to get KML data from Google Drive.
final
- initialState → KMLFilesState
-
Initial state of KMLFilesBloc.
read-only
- currentState → KMLFilesState
-
Returns the current
State
of theBloc
.read-only, inherited -
event
→ Stream<
KMLFilesEvent> -
Returns Stream of
Event
s. When anEvent
is dispatched, it is added to the Stream.read-only, inherited - hashCode → int
-
The hash code for this object. [...]
read-only, inherited
- runtimeType → Type
-
A representation of the runtime type of the object.
read-only, inherited
-
state
→ Stream<
KMLFilesState> -
Returns Stream of
State
s. Usually consumed by the presentation layer.read-only, inherited
Methods
-
mapEventToState(
KMLFilesEvent event) → Stream< KMLFilesState> -
Must be implemented when a class extends
Bloc
. Takes the incomingevent
as the argument.mapEventToState
is called whenever anEvent
isdispatched
by the presentation layer.mapEventToState
must convert thatEvent
into a newState
and return the newState
in the form of a Stream which is consumed by the presentation layer. -
dispatch(
KMLFilesEvent event) → void -
Takes an
Event
and triggersmapEventToState
.Dispatch
may be called from the presentation layer or from within theBloc
.Dispatch
notifies theBloc
of a newEvent
. Ifdispose
has already been called, any subsequent calls todispatch
will be delegated to theonError
method which can be overriden at theBloc
as well as theBlocDelegate
level.inherited -
dispose(
) → void -
Closes the
Event
andState
Streams. This method should be called when aBloc
is no longer needed. Oncedispose
is called, events that aredispatched
will not be processed and will result in an error being passed toonError
. In addition, ifdispose
is called whileEvent
s are still being processed, anyState
s yielded after are ignored and will not result in aTransition
.@mustCallSuper, inherited -
noSuchMethod(
Invocation invocation) → dynamic -
Invoked when a non-existent method or property is accessed. [...]
inherited
-
onError(
Object error, StackTrace stacktrace) → void -
Called whenever an Exception is thrown within
mapEventToState
. By default all exceptions will be ignored andBloc
functionality will be unaffected. The stacktrace argument may benull
if the state stream received an error without a StackTrace. A great spot to handle exceptions at the individualBloc
level.inherited -
onEvent(
KMLFilesEvent event) → void -
Called whenever an
Event
is dispatched to theBloc
. A great spot to add logging/analytics at the individualBloc
level.inherited -
onTransition(
Transition< KMLFilesEvent, KMLFilesState> transition) → void -
Called whenever a
Transition
occurs with the givenTransition
. ATransition
occurs when a newEvent
is dispatched andmapEventToState
executed.onTransition
is called before aBloc
'sState
has been updated. A great spot to add logging/analytics at the individualBloc
level.inherited -
toString(
) → String -
Returns a string representation of this object.
inherited
-
transform(
Stream< KMLFilesEvent> events, Stream<KMLFilesState> next(Event event)) → Stream<KMLFilesState> -
Transforms the
Stream<Event>
along with anext
function into aStream<State>
. Events that should be processed bymapEventToState
need to be passed tonext
. By defaultasyncExpand
is used to ensure all events are processed in the order in which they are received. You can overridetransform
for advanced usage in order to manipulate the frequency and specificity with whichmapEventToState
is called as well as which events are processed. [...]inherited
Operators
-
operator ==(
dynamic other) → bool -
The equality operator. [...]
inherited


Forget Password?
Enter your e-mail address below to reset your password.
Log-In
Submit
©
ClipTheme
.
All rights reserved


The Printer Working Group August 2016 Face-to-Face meeting was held August 23-24, 2016 at Sharp Lab's facilities in Camas, Washington. We discussed current and future liaisons with other groups, reviewed several drafts of in-progress specifications, discussed topics concerning printers / MFDs and Common Criteria (CC) testing and certification, and reviewed efforts to evolve the PWG Semantic Model. Below is a more detailed summary of the proceedings.
In the PWG Plenary, we discussed several topics relevant to the PWG membership community. First, an effort has begun to update the PWG Process document to version 4, to incorporate a number of policy documents that have been authored since the approval of the PWG Process 3.0 process document, which was approved in 2006. Some discussion on how this should proceed, including some thoughts from Smith Kennedy and Ira McDonald concerning keeping some of the current policy documents as-is and using the Process v4 document as a "framework" document, was discussed. Also, a new whitepaper was proposed outlining the design principles and core design ethos of the PWG. This would be useful for both those active in PWG standards development, those implementing IPP in their products, and those considering IPP and wanting to understand why the PWG chose to structure its technologies the way that it does.
Following that, the Working Group chairs from the IPP WG,
Semantic Model WG, and Imaging Device Security WG reviewed the status of
their Working Group. Although the IDS working group was or is in
hibernation, it has been awakened from its slumber to discuss some of
the Common Criteria HCD Protection Profiles. We discussed the IPP
Everywhere Self Certification site and process, which is now live,
and two upcoming updates to the IPP Everywhere Self Certification
tools (1.0 Update 1 and 1.1). No printers have yet certified. Ira
described our liaison relationship with Trusted Computing Group.
Finally, Paul Tykodi discussed his experiences representing the PWG
at Drupa, where he presented a talk on 3D printing and IPP and the
value of open standards in 3D printing ecosystems. Paul also discussed
dialogs he had with representatives from Gartner about 3D printing.
We reviewed the IPP/1.1 RFC updates and the latest drafts of the IPP System Service, IPP 3D Printing Extensions, and the IPP Finishings 2.1 specifications.
We noted the updates to IPP/1.1 (RFC 2910bis /
RFC 2911bis) were either already approved or nearing approval. We
reviewed the most recently updated draft
of the IPP System Service, which continues to make good progress toward
reaching
a prototype state. We discussed the latest revision of the
IPP 3D Extensions, which is in Prototype state. Finally, we
reviewed the
latest draft update to 5100.1 (a.k.a. "Finishings 2.1"), which has
achieved Stable draft status and is in Working Group Last Call until
September 6, 2016. A few editorial fixes were identified, which
will be corrected in a follow-up Stable draft once the Working Group
Last Call is complete.
The next IPP Working Group conference call for IPP 3D Printing Extensions is on September 12, 2016 at 4pm ET / 1pm PT. The next IPP Working Group conference call for 2D printing topics is on September 19, 2016 at 3pm ET / 12pm PT. Please subscribe to the ipp mailing list for details.
In the Semantic Model Working Group session, we discussed a range of
topics. We first discussed the effort to encode a PWG Print Job
Ticket into a 3MF 3D model file. Following that, there was a discussion
of the effort to finalize the Semantic Model v2 (SM2). And
finally, the work on Semantic Model v3 (SM3) was discussed.
The next Semantic Model Workgroup conference call will be at 3PM EDT, September 12, 2016.
We will hold our next PWG Face-to-Face meeting November 15-16, 2016
hosted at Lexmark's facilities in Lexington, KY. Information on
upcoming meetings as always is listed on the PWG's Meetings page.


Click to Generate a Random GIF
Generate
Click to Generate a Random Sticker
Generate
Search for your most suitable GIF
Search


Not compatible with your browser
Session Timeout! Please login again.
FTI Video Analysis Service
Login Here
Username
Username not Found
Password
Wrong password
Login failed. Try Again
Yet Not Registered??
Register Here


|
Apache Ignite.NET
|
Represents runtime information of a cluster. Apart from obvious statistical value, this information is used for implementation of load balancing, failover, and collision SPIs. For example, collision SPI in combination with fail-over SPI could check if other nodes don't have any active or waiting jobs and fail-over some jobs to those nodes. More...
Properties | |
| DateTime | LastUpdateTime [get] |
| Last update time of this node metrics. More... | |
| int | MaximumActiveJobs [get] |
| Maximum number of jobs that ever ran concurrently on this node. More... | |
| int | CurrentActiveJobs [get] |
| Number of currently active jobs concurrently executing on the node. More... | |
| float | AverageActiveJobs [get] |
| Average number of active jobs. More... | |
| int | MaximumWaitingJobs [get] |
| Maximum number of waiting jobs. More... | |
| int | CurrentWaitingJobs [get] |
| Number of queued jobs currently waiting to be executed. More... | |
| float | AverageWaitingJobs [get] |
| Average number of waiting jobs. More... | |
| int | MaximumRejectedJobs [get] |
| Maximum number of jobs rejected at once. More... | |
| int | CurrentRejectedJobs [get] |
| Number of jobs rejected after more recent collision resolution operation. More... | |
| float | AverageRejectedJobs [get] |
| Average number of jobs this node rejects during collision resolution operations. More... | |
| int | TotalRejectedJobs [get] |
| Total number of jobs this node rejects during collision resolution operations since node startup. More... | |
| int | MaximumCancelledJobs [get] |
| Maximum number of cancelled jobs ever had running concurrently. More... | |
| int | CurrentCancelledJobs [get] |
| Number of cancelled jobs that are still running. More... | |
| float | AverageCancelledJobs [get] |
| Average number of cancelled jobs. More... | |
| int | TotalCancelledJobs [get] |
| Total number of cancelled jobs since node startup. More... | |
| int | TotalExecutedJobs [get] |
| Total number of jobs handled by the node since node startup. More... | |
| long | MaximumJobWaitTime [get] |
| Maximum time a job ever spent waiting in a queue to be executed. More... | |
| long | CurrentJobWaitTime [get] |
| Current time an oldest jobs has spent waiting to be executed. More... | |
| double | AverageJobWaitTime [get] |
| Average time jobs spend waiting in the queue to be executed. More... | |
| long | MaximumJobExecuteTime [get] |
| Time it took to execute the longest job on the node. More... | |
| long | CurrentJobExecuteTime [get] |
| Longest time a current job has been executing for. More... | |
| double | AverageJobExecuteTime [get] |
| Average job execution time. More... | |
| int | TotalExecutedTasks [get] |
| Total number of jobs handled by the node. More... | |
| long | TotalBusyTime [get] |
| Total time this node spent executing jobs. More... | |
| long | TotalIdleTime [get] |
| Total time this node spent idling. More... | |
| long | CurrentIdleTime [get] |
| Time this node spend idling since executing last job. More... | |
| float | BusyTimePercentage [get] |
| Percentage of time this node is busy. More... | |
| float | IdleTimePercentage [get] |
| Percentage of time this node is idle More... | |
| int | TotalCpus [get] |
| Returns the number of CPUs available to the Java Virtual Machine. More... | |
| double | CurrentCpuLoad [get] |
| Returns the CPU usage usage in [0, 1] range. More... | |
| double | AverageCpuLoad [get] |
| Average of CPU load values in [0, 1] range over all metrics kept in the history. More... | |
| double | CurrentGcCpuLoad [get] |
| Average time spent in CG since the last update. More... | |
| long | HeapMemoryInitialized [get] |
Amount of heap memory in bytes that the JVM initially requests from the operating system for memory management. This method returns -1 if the initial memory size is undefined. More... | |
| long | HeapMemoryUsed [get] |
| Current heap size that is used for object allocation. The heap consists of one or more memory pools. This value is the sum of used heap memory values of all heap memory pools. More... | |
| long | HeapMemoryCommitted [get] |
| Amount of heap memory in bytes that is committed for the JVM to use. This amount of memory is guaranteed for the JVM to use. The heap consists of one or more memory pools. This value is the sum of committed heap memory values of all heap memory pools. More... | |
| long | HeapMemoryMaximum [get] |
Mmaximum amount of heap memory in bytes that can be used for memory management. This method returns -1 if the maximum memory size is undefined. More... | |
| long | HeapMemoryTotal [get] |
Total amount of heap memory in bytes. This method returns -1 if the total memory size is undefined. More... | |
| long | NonHeapMemoryInitialized [get] |
| Amount of non-heap memory in bytes that the JVM initially requests from the operating system for memory management. More... | |
| long | NonHeapMemoryUsed [get] |
| Current non-heap memory size that is used by Java VM. More... | |
| long | NonHeapMemoryCommitted [get] |
| Amount of non-heap memory in bytes that is committed for the JVM to use. More... | |
| long | NonHeapMemoryMaximum [get] |
| Maximum amount of non-heap memory in bytes that can be used for memory management. More... | |
| long | NonHeapMemoryTotal [get] |
| Total amount of non-heap memory in bytes that can be used for memory management. More... | |
| long | Uptime [get] |
| Uptime of the JVM in milliseconds. More... | |
| DateTime | StartTime [get] |
| Start time of the JVM in milliseconds. More... | |
| DateTime | NodeStartTime [get] |
| Start time of the Ignite node in milliseconds. More... | |
| int | CurrentThreadCount [get] |
| Current number of live threads. More... | |
| int | MaximumThreadCount [get] |
| The peak live thread count. More... | |
| long | TotalStartedThreadCount [get] |
| The total number of threads started. More... | |
| int | CurrentDaemonThreadCount [get] |
| Current number of live daemon threads. More... | |
| long | LastDataVersion [get] |
| Ignite assigns incremental versions to all cache operations. This property provides the latest data version on the node. More... | |
| int | SentMessagesCount [get] |
| Sent messages count More... | |
| long | SentBytesCount [get] |
| Sent bytes count. More... | |
| int | ReceivedMessagesCount [get] |
| Received messages count. More... | |
| long | ReceivedBytesCount [get] |
| Received bytes count. More... | |
| int | OutboundMessagesQueueSize [get] |
| Outbound messages queue size. More... | |
| int | TotalNodes [get] |
| Gets total number of nodes. More... | |
Node metrics for any node can be accessed via IClusterNode.GetMetrics method. Keep in mind that there will be a certain network delay (usually equal to heartbeat delay) for the accuracy of node metrics. However, when accessing metrics on local node the metrics are always accurate and up to date.
|
get |
|
get |
|
get |
|
get |
|
get |
|
get |
|
get |
|
get |
|
get |
|
get |
|
get |
|
get |
|
get |
|
get |
|
get |
|
get |
|
get |
|
get |
|
get |
|
get |
|
get |
This value represents a setting of the heap memory for Java VM and is not a sum of all initial heap values for all memory pools.
|
get |
This amount of memory is not guaranteed to be available for memory management if it is greater than the amount of committed memory. The JVM may fail to allocate memory even if the amount of used memory does not exceed this maximum size.
This value represents a setting of the heap memory for Java VM and is not a sum of all initial heap values for all memory pools.
|
get |
This amount of memory is not guaranteed to be available for memory management if it is greater than the amount of committed memory. The JVM may fail to allocate memory even if the amount of used memory does not exceed this maximum size.
This value represents a setting of the heap memory for Java VM and is not a sum of all initial heap values for all memory pools.
|
get |
The amount of used memory in the returned is the amount of memory occupied by both live objects and garbage objects that have not been collected, if any.
|
get |
|
get |
|
get |
|
get |
|
get |
|
get |
|
get |
|
get |
|
get |
|
get |
|
get |
|
get |
|
get |
|
get |
|
get |
|
get |
|
get |
|
get |
|
get |
|
get |
|
get |
|
get |
|
get |
|
get |
|
get |
|
get |
|
get |
|
get |
|
get |
|
get |
|
get |
|
get |


Overview
Account table
Add new user
No accounts yet!
Active accounts
#
Given Names
Last Names
Username
City
Role
Account active
Modify active
Are you sure?
×
You are about to change an account status. This action can put at risk the app


Staff role
Alcohol swabs taken
Is homeless?
{{ encounter.staff_role }}
{{ encounter.alcohol_swabs_taken }}
{{ encounter.is_homeless }}
Previously exchanged needles with HIVA?
Wants Injection Info?
Cottons Taken
{{ encounter.has_exchanged_previously }}
{{ encounter.wants_injection_info }}
{{ encounter.cottons_taken }}
Witnessed OD Last Year?
Exchanges Needles for Other?
Months Since Last HEP C Test
{{ encounter.witnessed_od_last_year }}
{{ encounter.people_exchanging_needles_for }}
{{ encounter.months_since_hepc_test }}
Syringes Brought In
Health Insurance Provider
Wants Treatment Info?
{{ encounter.syringes_brought_in }}
{{ encounter.health_insurance_provider }}
{{ encounter.wants_treatment_info }}
Has Used Shared Needles?
Months Since HIV Test
Has Any Medical Condition?
{{ encounter.has_used_shared_needles }}
{{ encounter.months_since_hiv_test }}
{{ encounter.has_any_medical_condition }}
Sharps Taken
Condoms Taken
Has Recieved Food?
{{ encounter.sharps_taken }}
{{ encounter.condoms_taken }}
{{ encounter.has_recieved_food }}
Syringes Taken
{{ encounter.syringes_taken }}


Legislation
Page 1-1
Page 1-2
News
Page 2-1
Page 2-2
Page 3-3
Organizations
Page 3-1
Page 3-2
Research
Page 4-1
Page 4-2
Page 4-3
Get Involved
Page 5-1
Page 5-2
Page 5-3
Page 5-4
About
Page 6-1
Voter ID Laws
Voter Turnout 2014


Our approach is to choose the best technology that solves your business task. After searching
thoroughly for an alternative to create something great, it was clear that there weren't any
great solutions or intentions by anyone to create an unified software for anyone to use.
We don't do all-in- one, we focus on client-perfect projects.
The Xfinity xFi app will change the way you WiFi with a whole new way to personalize and control your home network
H2O.ai makes machine learning accessible and allows business users to extract insights from data.
| Address | 1001 46th St, Emeryville CA |
| Phone |<PHONE_NUMBER> |


Obtaining NumPy & SciPy libraries¶
See also
Official Source and Binary Releases¶
For each official release of NumPy and SciPy, we provide source code (tarball) as well as binary wheels for several major platforms (Windows, OSX, Linux).
| Project | Available packages | Download location |
|---|---|---|
| NumPy | Official source code (all platforms) and binaries for Windows, Linux and Mac OS X | PyPI page for NumPy |
| SciPy | Official source code (all platforms) and binaries for Windows, Linux and Mac OS X | SciPy release page (sources) PyPI page for SciPy (all) |
Source Code Repository Access¶
The most recent development versions of NumPy and SciPy are available through the official repositories hosted on Github.
To check out the latest NumPy sources:
git clone https://github.com/numpy/numpy.git numpy
To check out the latest SciPy sources:
git clone https://github.com/scipy/scipy.git scipy
Build instructions¶
Build instructions for Scipy can be found in its documentation. The latest version can be found at: https://docs.scipy.org/doc/scipy-dev/reference/building/index.html
Third-Party/Vendor Package Managers¶
Below is a partial list of third-party and operating system vendor package managers containing NumPy and SciPy packages.
These packages are not maintained by the NumPy and SciPy developers; this list is provided only as a convenience. These packages may not always provide the most up to date version of the software, and may be unmaintained.
IMPORTANT: If you experience problems with these packages (especially those related to installation/build errors), please report the problem to the package maintainer first, rather than to the NumPy/SciPy mailing lists.


Reviewer
Quote
Rating
Type
Mr. James Kirk
Dr. Crusher was out of this world!
Feedback
Mrs. Keiko O'Brien
Dr. Pulaski used some weird sci-fi device and instantly relieved my pain
Mr. Michael Bostick
I was overcharged on my last bill
Complaint
I had a bad encounter on my last visit
Mrs. Kira Nereys
the wait time was too long


Issue 5049:
onreadystatechange fails for back-to-back XMLHTTP requests
Steps to reproduce
- Open Firebug
- Enable and switch to the Console panel
- Click this button
- Two XMLHttpRequest logs to
issue5049.txt
should be displayed
- Both requests should have HTTP status and time (displayed at the end)


|
VirtualSCADA
1.0
VirtualSCADA Senior Design Project
|
Public Member Functions | |
| connect ($host, $port=null, $timeout=null) | |
| pconnect ($host, $port=null, $timeout=null) | |
| addServer ($host, $port=11211, $persistent=null, $weight=null, $timeout=null, $retry_interval=null, $status=null, $failure_callback=null, $timeoutms=null) | |
| add ($key, $var, $flag=null, $expire=null) | |
| set ($key, $var, $flag=null, $expire=null) | |
| replace ($key, $var, $flag=null, $expire=null) | |
| get ($key, &$flags=null) | |
| delete ($key) | |
| flush () | |
| close () | |
MemcacheMock for simulating Memcache extension in tests.
Definition at line 19 of file MemcacheMock.php.
| add | ( | $key, | |
| $var, | |||
$flag = null , |
|||
$expire = null |
|||
| ) |
Add an item to the server only if such key doesn't exist at the server yet.
| string | $key | |
| mixed | $var | |
| int | $flag | |
| int | $expire |
Definition at line 100 of file MemcacheMock.php.
| addServer | ( | $host, | |
$port = 11211 , |
|||
$persistent = null , |
|||
$weight = null , |
|||
$timeout = null , |
|||
$retry_interval = null , |
|||
$status = null , |
|||
$failure_callback = null , |
|||
$timeoutms = null |
|||
| ) |
Add a memcached server to connection pool.
| string | $host | |
| int | $port | |
| bool | $persistent | |
| int | $weight | |
| int | $timeout | |
| int | $retry_interval | |
| bool | $status | |
| callable | $failure_callback | |
| int | $timeoutms |
Definition at line 79 of file MemcacheMock.php.
| close | ( | ) |
| connect | ( | $host, | |
$port = null , |
|||
$timeout = null |
|||
| ) |
Open memcached server connection.
| string | $host | |
| int | $port | |
| int | $timeout |
Definition at line 33 of file MemcacheMock.php.
| delete | ( | $key | ) |
Delete item from the server.
| string | $key |
Definition at line 196 of file MemcacheMock.php.
| flush | ( | ) |
Flush all existing items at the server.
Definition at line 216 of file MemcacheMock.php.
| get | ( | $key, | |
| & | $flags = null |
||
| ) |
Retrieve item from the server.
| string | array | $key | |
| int | array | $flags |
Definition at line 169 of file MemcacheMock.php.
| pconnect | ( | $host, | |
$port = null , |
|||
$timeout = null |
|||
| ) |
Open memcached server persistent connection.
| string | $host | |
| int | $port | |
| int | $timeout |
Definition at line 53 of file MemcacheMock.php.
| replace | ( | $key, | |
| $var, | |||
$flag = null , |
|||
$expire = null |
|||
| ) |
Replace value of the existing item.
| string | $key | |
| mixed | $var | |
| int | $flag | |
| int | $expire |
Definition at line 146 of file MemcacheMock.php.
| set | ( | $key, | |
| $var, | |||
$flag = null , |
|||
$expire = null |
|||
| ) |
Store data at the server.
| string | $key | |
| string | $var | |
| int | $flag | |
| int | $expire |
Definition at line 125 of file MemcacheMock.php.


% if user_message:
${user_message}
% endif
% if not serverInfo['is_free_license'] and serverInfo['is_trial_license']:
${_('First time signing in?')}
% endif
% if loginContent:
${loginContent}
<%doc>loginContent is raw HTML defined in web.conf%doc>
% endif
## TRANS: Continue link that is shown if a free product 'tip' has been displayed
${_('Your browser could not connect to Splunk.com.')}
${_('You need to be connected to the Internet to find out when updates to your Splunk software are available.')}
${_("First time signing in?")}
${_("If you've forgotten your username or password, please contact your Splunk administrator.
username admin
password changeme
")}


where
takes a spec object and a test object and returns true if the test satisfies the spec.
Any property on the spec that is not a function is interpreted as an equality
relation. For example:
var spec = {x: 2};
where(spec, {w: 10, x: 2, y: 300});
where(spec, {x: 1, y: 'moo', z: true});
If the spec has a property mapped to a function, then where
evaluates the function, passing in
the test object’s value for the property in question, as well as the whole test object. For example:
var spec = {x: function(val, obj) { return val + obj.y > 10; };
where(spec, {x: 2, y: 7});
where(spec, {x: 3, y: 8});
where
is well suited to declarativley expressing constraints for other functions, e.g., filter
:
var xs = [{x: 2, y: 1}, {x: 10, y: 2},
{x: 8, y: 3}, {x: 10, y: 4}];
var fxs = filter(where({x: 10}), xs);
R.where = _(function(spec, test) {
return all(function(key) {
var val = spec[key];
return (typeof val === 'function') ? val(test[key], test) : (test[key] === val);
}, keys(spec));
});


Bootstrap 4 Admin Template
License
The MIT License (MIT)
Copyright (c) 2018 Davina Leong
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 substantial 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.


Tutorial 8 - Generic mixins
In this tutorial we will look at how to use generic Fragments. So far all Fragments, i.e.
the Concerns, SideEffects, and Mixins, have directly implemented the domain interface. But sometimes it is
useful to be able to provide a generic implementation of an interface. An example of this is
the HelloWorldState interface. Since it only handles properties, and the old version used the JavaBean rules
for naming getters and setters we could create a mixin that handles invocations of such methods
automatically for us by storing the properties in a map and use the methods
to look them up.
Implementing a generic Fragment is done by creating a class that implements the interface
java.lang.proxy.InvocationHandler. This has a single "invoke" method which is passed the
object that was invoked (the TransientComposite in this case), the method, and the arguments. The
Fragment is then allowed to implement the method any way it wants.
Since interfaces with only Properties is such a common case Qi4j already has a generic Mixin
that implements the Properties management described above, but for the builtin Property type instead
of the getter/setter variant. The class is aptly named PropertyMixin.
While we could use it, for now we will implement it ourselves to get a feel for how generic Mixins work.
Steps for this tutorial:
- Remove the HelloWorldStateMixin
- Add a GenericPropertyMixin, and have it implement InvocationHandler
- Inject "@State StateHolder state" in the mixin. The StateHolder interface will give
you access to the Properties for the TransientComposite which Qi4j manages for you
- On call to invoke(), delegate to the StateHolder interface to get the Property for the invoked method
- Add an @AppliesTo annotation to the Mixin and implement the AppliesToFilter with a rule that
matches only methods that return Property values.
- Add the mixin to the TransientComposite.


On the Subject of Rainbow Arrows
Pointedly pointless pointing.
See Appendix A for indicator identification reference.
See Appendix B for battery identification reference.
See Appendix C for port identification reference.
- This module has eight arrow buttons in a rainbow color arrangement, and a display screen in the center showing a two-digit number.
- Use the location of the white arrow button to determine your starting rule in the table below.
- Follow the directions for each rule to determine what arrow to press.
- If the rainbow pattern proceeds clockwise, move down one rule after each press; otherwise, move up one rule instead. The table wraps around.
- All arrow presses must be unique. If a rule says to press an arrow that has already been pressed, then instead press the closest arrow that hasn't been pressed yet, in either direction. In case of a tie for distance, use the arrow reached by following the same direction as the rainbow pattern.
- Pressing an incorrect arrow button will result in a strike, and a reset of all inputs up to that point. The number on the display and the colors of the arrows will not change, however.
- The module will be disarmed after each arrow button has been correctly pressed once.


Password changed successfully!
You can Sign in using this new password
Go to User Sign In
Go to Hospital Sign In


aliasesedit
This setting is used only when using the alias filter.
The value of this setting must be a single alias name, or a list of alias names. This can be done in any of the ways YAML allows for lists or arrays. Here are a few examples.
Single
filters: - filtertype: alias aliases: my_alias exclude: False
List
-
Flow style:
filters: - filtertype: alias aliases: [ my_alias, another_alias ] exclude: False
-
Block style:
filters: - filtertype: alias aliases: - my_alias - another_alias exclude: False
There is no default value. This setting must be set by the user or an exception will be raised, and execution will halt.


Before Change
save_progress = tempfile.mkdtemp()
fm_save = calculate_feature_matrix([property_feature],
entityset,
instance_ids=range(17),
cutoff_time=times,
save_progress=save_progress)
_, _, files = next(os.walk(save_progress))
After Change
[datetime(2011, 4, 10, 10, 40, i) for i in range(2)] +
[datetime(2011, 4, 10, 10, 41, i * 3) for i in range(3)] +
[datetime(2011, 4, 10, 11, 10, i * 3) for i in range(2)])
cutoff_time = pd.DataFrame({"time": times, "instance_id": range(17)})
property_feature = IdentityFeature(entityset["log"]["value"]) > 10
save_progress = tempfile.mkdtemp()
fm_save = calculate_feature_matrix([property_feature],
entityset,


Hong Kong police threaten to use live bullets if 'rioters' use lethal weapons
by ReutersHONG KONG — Hong Kong police threatened on Monday to respond with live bullets if “rioters” used lethal weapons and committed other acts of violence, amid a standoff with protesters who have been hurling petrol bombs outside a university campus.
Police issued a statement urging people they described as rioters to stop using lethal weapons to attack officers, adding that police would respond with force and could use bullets if they did not. (Reporting by Reuters reporters in Hong Kong; Editing by Edmund Blair)


- set(Integer) - Method in class daa.practice1.randomaccessmachine.memory.register.DataRegister
-
Setter of the data private variable of the parent class.
- setRegisterAt(int, DataRegister) - Method in class daa.practice1.randomaccessmachine.memory.DataMemory
-
- setRegisterAt(int, T) - Method in class daa.practice1.randomaccessmachine.memory.InfiniteMemory
-
Abstract Method that subclasses must implement to specify how a data in the
register can be accessed and changed.
- setRegisterAt(int, ProgramRegister) - Method in class daa.practice1.randomaccessmachine.memory.ProgramMemory
-
- showDataRegisters() - Method in class daa.practice1.randomaccessmachine.RandomAccessMachine
-
Visual Representation of the Data Registers.
- showExecution() - Method in class daa.practice1.randomaccessmachine.RandomAccessMachine
-
Show the Random Access Machine in a visual way.
- showHelp() - Static method in class daa.practice1.StartRandomAccessMachine
-
- showInputTape() - Method in class daa.practice1.randomaccessmachine.RandomAccessMachine
-
Visual Representation of the Input Tape.
- showOutputTape() - Method in class daa.practice1.randomaccessmachine.RandomAccessMachine
-
Visual Representation of the Output Tape.
- showProgramRegisters() - Method in class daa.practice1.randomaccessmachine.RandomAccessMachine
-
Visual Representation of the Program Registers.
- start(boolean) - Method in class daa.practice1.randomaccessmachine.RandomAccessMachine
-
Method to start the Random Access Machine.
- StartRandomAccessMachine - Class in daa.practice1
-
Class that starts a Random AccessMachine depending on the arguments passed to
main method.
- StartRandomAccessMachine() - Constructor for class daa.practice1.StartRandomAccessMachine
-
- store(Operating) - Method in class daa.practice1.randomaccessmachine.RandomAccessMachine
-
The instruction store stores the value of the ACC or Register with index 0 in
the result value of the addressing type.
- sub(Operating) - Method in class daa.practice1.randomaccessmachine.RandomAccessMachine
-
This instruction subtract the value of the ACC or Register with index 0 with
the result value of the addressing type.
- subtract(DataRegister, DataRegister) - Static method in class daa.practice1.randomaccessmachine.alu.ArithmeticLogicUnit
-
Method used to subtract the values of two registers and save the result in
the first register passed by argument.
- subtract(DataRegister, int) - Static method in class daa.practice1.randomaccessmachine.alu.ArithmeticLogicUnit
-
Method used to subtract the values of a register and a constant, saving the
result in the first register passed by argument.


- SMK Version
- {{ build.version }}
- Last commit on
- {{ build.lastCommit | formatDate }}
- Commit
- {{ build.commit }}
- Branch
- {{ build.branch }}
- Origin
- {{ build.origin }}
- Map Created By
- {{ config.createdBy }}
- Enabled Tools
- {{ config.enabledTools.join( ', ' ) }}
- SMK Built by
-


Many graph applications have to do with identifying patterns in the graph. That is, identifying sub-graphs that match a particular topology and/or feature set. In single-relational graphs, usually a topology is only considered. For graphs that are labeled and have key/value pairs on their elements (i.e. property graphs), then features on that topology must be considered as well to be generally useful.
The table
step is useful for cataloging parts of the graph that match a particular pattern. The best way to explain its use is with due respect to the graph pattern match language SPARQL. An example SPARQL query is provided below. The query will return those vertices that Marko knows along with their respective creations
SELECT ?x ?y WHERE {
marko knows ?x
?x created ?y
}
SPARQL is an excellent, intuitive language for defining patterns in an RDF graph (i.e. multi-relational graph). Unfortunately, RDF (and thus, SPARQL) does not support key/value pairs on the elements of the graph—it does not support property graphs (save through complex and verbose reification constructs). As such, SPARQL does not easily map over to the property graph domain.
In Gremlin, the above query is accomplished using the table
step and respective TablePipe
and Table
object. First lets load our toy graph diagrammed in Defining a Property Graph.
gremlin> g = TinkerGraphFactory.createTinkerGraph()
==>tinkergraph[vertices:6 edges:6]
In the example below, a traversal is executed starting from marko (vertex 1). The table
step will select the 1st and 2nd parts of the paths that reach it an insert them into the Table
t
as rows.
gremlin> t = new Table()
gremlin> g.v(1).out('knows').as('x').out('created').as('y').table(t)
==>v[5]
==>v[3]
gremlin> t
==>[x:v[4], y:v[5]]
==>[x:v[4], y:v[3]]
As such, components of the traversals history (path) are saved into the table and serve as the desired return bindings. Given the SPARQL query from previous, the columns of t
are equivalent to ?x
and ?y
.
To provide the developer flexibility, its possible to evaluate closures over column elements prior to inserting them into the table.
gremlin> t = new Table()
gremlin> g.v(1).out('knows').as('x').out('created').as('y').table(t){it.name}{it.name}
==>v[5]
==>v[3]
gremlin> t
==>[x:josh, y:ripple]
==>[x:josh, y:lop]
In the above Gremlin snippets, we found all the people that Marko knows who have created a product. Specifically, Marko knows Josh and Josh has created both Ripple and LoP.
For those familiar with Pipes, TablePipe
is a SideEffectPipe
and as such, can be “capped.”
gremlin> g.v(1).out('knows').as('x').out('created').as('y').table(new Table()).cap.next()
==>[x:v[4], y:v[5]]
==>[x:v[4], y:v[3]]
Its possible to use table
match any pattern within a pipeline expression. Thus, its possible to use table
and loop
within the same expression and get meaningful results.
gremlin> t = new Table()
gremlin> g.v(1).as('x').out.as('y').table(t).loop('x'){it.loops < 3}
==>v[5]
==>v[3]
gremlin> t
==>[x:v[1], y:v[2]]
==>[x:v[1], y:v[3]]
==>[x:v[1], y:v[4]]
==>[x:v[1], y:v[5]]
==>[x:v[1], y:v[3]]
gremlin> t.apply{it.age}{it.name}
==>[29, vadas]
==>[29, lop]
==>[29, josh]
==>[29, ripple]
==>[29, lop]
There are numerous methods that are offered by Table
. Here are some examples of its use:
gremlin> t = new Table()
gremlin> g.v(1).out('knows').as('x').out('created').as('y').table(t){it.name}{it.name}
==>v[5]
==>v[3]
gremlin> t
==>[x:josh, y:ripple]
==>[x:josh, y:lop]
gremlin> t.get(0,0)
==>josh
gremlin> t.get(0,'x')
==>josh
gremlin> t.getRow(0)
==>josh
==>ripple
gremlin> t.getColumn(1)
==>ripple
==>lop
gremlin> t.getRow(1).getColumn('y')
==>lop
gremlin> t.getRow(1).getColumn(1)
==>lop
gremlin> t.sort()
==>[x:josh, y:lop]
==>[x:josh, y:ripple]
gremlin> t.sort{a,b -> b[1].length() <=> a[1].length()}
==>[x:josh, y:ripple]
==>[x:josh, y:lop]


An image displaying control with scroll bars.
TImgView32 implements the generic behavior introduced in TCustomImgView32. It publishes some inherited properties from TCustomImgView32, but does not introduce any new behavior.
[See Also]