Fit and compare nonlinear mixed-effects models in differential equations with flexible dosing information commonly seen in pharmacokinetics and pharmacodynamics (Almquist, Leander, and Jirstrand 2015 <doi:10.1007/s10928-015-9409-1>). Differential equation solving is by compiled C code provided in the 'RxODE' package (Wang, Hallow, and James 2015 <doi:10.1002/psp4.12052>).
| Version: | 1.0.0-7 |
| Depends: | R (≥ 3.2) |
| Imports: | Rcpp (≥ 0.12.3), brew, lattice, parallel, lbfgs, dparser, methods, ggplot2, memoise, rex, minqa, Matrix, numDeriv, R.utils, n1qn1, PreciseSums, fastGHQuad, crayon, cli, RcppArmadillo (≥ 0.5.600.2.0), vpc (≥ 1.0.0), RxODE (≥ 0.8.0-4), nlme, magrittr, tidyr |
| LinkingTo: | dparser (≥ 0.1.8), Rcpp (≥ 0.12.3), RcppEigen (≥ <IP_ADDRESS>.0), StanHeaders, BH |
| Suggests: | knitr, rmarkdown, dplyr, data.table, lbfgsb3, testthat, madness, devtools, expm, matrixcalc, reshape2, nloptr, ucminf |
| Published: | 2018-09-23 |
| Author: | Matthew Fidler [aut], Yuan Xiong [aut], Rik Schoemaker [aut], Justin Wilkins [aut], Mirjam Trame [aut], Teun Post [aut], Robert Leary [ctb], Wenping Wang [aut, cre], Hadley Wickham [ctb], Dirk Eddelbuettel [cph], David Ardia [cph], Katharine Mullen [cph] |
| Maintainer: | Wenping Wang <wwang8198 at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/nlmixrdevelopment/nlmixr |
| NeedsCompilation: | yes |
| CRAN checks: | nlmixr results |
| Reference manual: | nlmixr.pdf |
| Vignettes: |
Installing nlmixr Running PK models with nlmixr |
| Package source: | nlmixr_1.0.0-7.tar.gz |
| Windows binaries: | r-devel: nlmixr_1.0.0-7.zip, r-release: nlmixr_1.0.0-7.zip, r-oldrel: nlmixr_1.0.0-7.zip |
| OS X binaries: | r-release: nlmixr_1.0.0-7.tgz, r-oldrel: nlmixr_1.0.0-7.tgz |
| Old sources: | nlmixr archive |
Please use the canonical form https://CRAN.R-project.org/package=nlmixr to link to this page.


Up
put /antitracker/{user_id}/{device_id}
Update ADBP filter list (antitrackerUserIdDeviceIdPut)
Path parameters
user_id (required)
Path Parameter — Unique identifier representing a specific user
device_id (required)
Path Parameter —
Request body
abp_filter (required)
Body Parameter —
Return type
Produces
This API call produces the following media types according to the request header;
the media type will be conveyed by the
Content-Type response header.
Responses
200
Antitracker filters were successfully applied
404
Not found or invalid.
500
Unexpected error
Up
get /privacy_settings/{user_id}
Get Privacy Settings (privacySettingsUserIdGet)
The UDE endpoint returns the current privacy settings for all social\nnetworks. It is called by Watchdog when it requests to get current\nsettings
Path parameters
user_id (required)
Path Parameter — Unique identifier representing a specific user
Query parameters
osp_id (required)
Query Parameter — OSP unique identifier
Return type
Produces
This API call produces the following media types according to the request header;
the media type will be conveyed by the
Content-Type response header.
Responses
200
An array of privacy settings
404
Not found or invalid
500
Unexpected error
Up
put /privacy_settings/{user_id}
Apply Privacy Settings (privacySettingsUserIdPut)
Called by OSE when it wants to update user’s settings
Path parameters
user_id (required)
Path Parameter — Unique identifier representing a specific user
Request body
settings (required)
Body Parameter — An array containing the privacy settings that shoul be applied
Query parameters
osp_id (required)
Query Parameter — OSP unique identifier
Return type
Produces
This API call produces the following media types according to the request header;
the media type will be conveyed by the
Content-Type response header.
Responses
200
Privacy Setting were successfully applied
404
Not found or invalid. (e.g. user_id, osp_id)
500
Unexpected error
Up
get /sensors/{device_id}/{sensor_id}
Get sensors data leakage and logs information (sensorsDeviceIdSensorIdGet)
Path parameters
device_id (required)
Path Parameter —
sensor_id (required)
Path Parameter —
Return type
Produces
This API call produces the following media types according to the request header;
the media type will be conveyed by the
Content-Type response header.
Responses
200
Return an array containing sensor logs
404
Not found or invalid.
500
Unexpected error
id
Long PrivacySetting Unique Identifier
description
String Description of the setting
name
String Short name of the setting(e.g. visibility)
setting_key
String Targeted setting key
setting_value
String Targeted setting value


events:
'natural'
)
:
#_drawCoordinates(x, y)
[PRIVATE] Display xy coordinates on the upper left corner
[PRIVATE] Display xy coordinates on the upper left corner
#_drawGrid
[PRIVATE] Draw the background grid
[PRIVATE] Draw the background grid
#_fillBackground
[PRIVATE] Paint the background with a given color
[PRIVATE] Paint the background with a given color
#_onCanvasMouseDbclick(evt)
EVENT for when we double click on the canvas
EVENT for when we double click on the canvas
#_onCanvasMouseDown(evt)
EVENT for when the mouse is clicked over the canvas
EVENT for when the mouse is clicked over the canvas
#_onCanvasMouseEnter(evt)
EVENT The mouse enters the canvas
EVENT The mouse enters the canvas
#_onCanvasMouseLeave(evt)
EVENT for when the mouse is leaving the canvas
EVENT for when the mouse is leaving the canvas
#_onCanvasMouseMove(evt)
EVENT for when the mouse is moving over the canvas
EVENT for when the mouse is moving over the canvas
#_onCanvasMouseUp(evt)
EVENT for when the mouse is released over the canvas
EVENT for when the mouse is released over the canvas
#_onKeyUp(evt)
EVENT A keyboard key is released
EVENT A keyboard key is released
#_updateMousePosition(evt)
[PRIVATE] Refresh the position of the pointer we store internally (relative to the canvas)
[PRIVATE] Refresh the position of the pointer we store internally (relative to the canvas)
#add(pt, draw)
Add a point to the collection
Add a point to the collection
Object
pt
:
of type {x: Number, y: Number} and optionnally the boolean properties "xLocked" and "yLocked". x and y must be in [0, 1]
true
)
:
#constructor(parentContainer, width, height, splineType)
Object
parentContainer
:
can be a String: the ID of the parent DIV, or can be directly the DOM element that will host the CanvasSpliner
Number
width
:
width of the canvas where CanvasSpliner draws
Number
height
:
height of the canvas where CanvasSpliner draws
String
splineType
:
"natural" or "monotonic"
#draw
Draw the whole canvas
Draw the whole canvas
#getXSeriesInterpolated
Get an array of all the x coordinates that CanvasSpliner computed an interpolation of. See getYSeriesInterpolated to get the corresponding interpolated values.
Get an array of all the x coordinates that CanvasSpliner computed an interpolation of. See getYSeriesInterpolated to get the corresponding interpolated values.
Array
:
of x values with regular interval in [0, 1]
#getYSeriesInterpolated
Get all the interpolated values for each x given by getXSeriesInterpolated.
Get all the interpolated values for each x given by getXSeriesInterpolated.
Array
:
of interpolated y
#on(eventName, callback)
Define an event
Define an event
String
eventName
:
name of the event. "movePoint", "releasePoint", "pointAdded" or "pointRemoved". They are both called with this in argument
#remove(index)
Remove a point using its index
Remove a point using its index
Number
index
:
index of the point to remove (from left to right, starting at 0)
#setBackgroundColor(color)
Define the canvas background color
Define the canvas background color
String
color
:
must be css style best is of form "rgba(244, 66, 167, 0.5)" Can allso be null/0/false to leave a blank background
#setControlPointRadius(r)
Change the radius of the control points
Change the radius of the control points
Number
r
:
the radius in pixel
#setCurveThickness(t)
Define the thickness of the curve
Define the thickness of the curve
Number
t
:
thickness in pixel
#setGridColor(color)
Set the color of the grid
Set the color of the grid
String
color
:
must be css style best is of form "rgba(244, 66, 167, 0.5)"
#setGridStep(Number, gs)
Define the grid step in unit coodinate. Default: 0.33
Define the grid step in unit coodinate. Default: 0.33
#setSplineType(splineType)
String
splineType
:
"natural" or "monotonic"
#setTextColor(color)
Set the color of the text
Set the color of the text
String
color
:
must be css style best is of form "rgba(244, 66, 167, 0.5)"
#add(p)
#getClosestFrom(p)
Get the index within the collection of the point that is the closest from the one given in argument. Returns also the euclidiant distance to this point.
Get the index within the collection of the point that is the closest from the one given in argument. Returns also the euclidiant distance to this point.
Object
:
like {index: Number, distance: Number}, or null if there is no point in this collection.
#getNumberOfPoints
Get the number of points in the collection
Get the number of points in the collection
Number
:
the number of points
#getXseries
Get all "x" coordinates of the collection as an array of Number
Get all "x" coordinates of the collection as an array of Number
Array
:
of Number
#getYseries
Get all "y" coordinates of the collection as an array of Number
Get all "y" coordinates of the collection as an array of Number
Array
:
of Number
#updatePoint(index, p)
Update the posiiton of an existing point
Update the posiiton of an existing point
Number
index
:
index of the existing point to update
Object
p
:
point that has coord we want to use as new coord. x and y values will be copied, no pointer association
Number
:
new index, the changed point may have changed its index among the x-ordered list


---
layout: activities
title: HydPy Group activities
permalink: /activities/
---
We conduct the following activities and initiaves.
-
Meetups: We conduct local meetups to teach people basic of python and various advanced topics.
-
PyConf Hyderabad, details here: http://pyconf.hydpy.org
-
PythonExpress Hyderabad
-
Projects : https://github.com/HydPy/
-
We also support other meetups and conferences to support Python & open source, these include events like PyBITS, Hacktoberfest etc.


About
Neighborhoods
Concept Projection
Co-occurrences
select words
add co-occurrences
select embeddings


Content for the first footer section.
Content for the second footer section.
Content for the third footer section.


{% extends "notifications/notifications/events/base.html" %} {% block text %}
You have cancelled your ticket to {{event_name}}.
{% endblock %} {% block subject %}Cancelled ticket for {{event_name}}{% endblock %} {% block email_content %} You have cancelled your ticket for **{{event_name}}**. {% endblock %}


BSON
public class BSON: CustomStringConvertible
BSON class
-
Return JSON representation of current BSON contents as a String
Declaration
Swift
public var description: String
-
Allocates a new doc structure. Call the various append() functions to add fields to the bson. You can iterate the doc at any time using a bson_iter_t and bson_iter_init().
Declaration
Swift
public init()
-
Creates a new doc structure using the data provided. bytes should contain bytes that can be copied into the new doc structure. * *- parameter bytes: A byte array containing a serialized bson document.
Declaration
Swift
public init(bytes: [UInt8])
-
Creates a new doc structure using the data provided. json should contain bytes that can be copied into the new doc structure.
Declaration
Swift
public init(json: String) throws
Parameters
json
A string containing a json data.
-
Creates a new doc by copying the provided bson doc.
Declaration
Swift
public init(document: BSON)
Parameters
document
An existing bson document.
-
close, destroy and release the current BSON document
Declaration
Swift
public func close()
-
Creates a new string containing current document in extended JSON format.
See http://docs.mongodb.org/manual/reference/mongodb-extended-json/ for more information on extended JSON.
Declaration
Swift
public var asString: String
Return Value
String
-
like asString() but for outermost arrays.
Declaration
Swift
public var asArrayString: String
-
asBytes:
Declaration
Swift
public var asBytes: [UInt8]
Return Value
A byte array from current BSON document
-
Appends a new field to self.doc of the type BSON_TYPE_DOCUMENT. The documents contents will be copied into self.doc.
Declaration
Swift
public func append(key key: String, document: BSON) -> Bool
Parameters
key
The key for the field.
document
Existing BSON document.
Return Value
true if successful; false if append would overflow max size.
-
Appends a new field to self.doc with NULL for the value.
Declaration
Swift
public func append(key key: String) -> Bool
Parameters
key
The key for the field.
Return Value
true if successful; false if append would overflow max size.
-
Appends a new field to the self.doc of type BSON_TYPE_OID using the contents of oid.
Declaration
Swift
public func append(key key: String, oid: bson_oid_t) -> Bool
Parameters
key
The key for the field.
oid
bson_oid_t.
Return Value
true if successful; false if append would overflow max size.
-
Appends a new field of type BSON_TYPE_INT64 to self.doc .
Declaration
Swift
public func append(key key: String, int: Int) -> Bool
Parameters
key
The key for the field.
int
The Int 64-bit integer value.
Return Value
true if successful; false if append would overflow max size.
-
Appends a new field of type BSON_TYPE_INT32 to self.doc .
Declaration
Swift
public func append(key key: String, int32: Int32) -> Bool
Parameters
key
The key for the field.
int32
The Int32 32-bit integer value.
Return Value
true if successful; false if append would overflow max size.
-
Appends a new field to self.doc of type BSON_TYPE_DATE_TIME.
Declaration
Swift
public func append(key key: String, dateTime: Int64) -> Bool
Parameters
key
The key for the field.
dateTime
The number of milliseconds elapsed since UNIX epoch.
Return Value
true if sucessful; otherwise false.
-
Appends a BSON_TYPE_DATE_TIME field to self.doc using the time_t @value for the number of seconds since UNIX epoch in UTC.
Declaration
Swift
public func append(key key: String, time: time_t) -> Bool
Parameters
key
The key for the field.
time
A time_t.
Return Value
true if successful; false if append would overflow max size.
-
Appends a new field to self.doc of the type BSON_TYPE_DOUBLE.
Declaration
Swift
public func append(key key: String, double: Double) -> Bool
Parameters
key
The key for the field.
double
The double to be appended
Return Value
true if successful; false if append would overflow max size.
-
Appends a new field to self.doc of type BSON_TYPE_BOOL.
Declaration
Swift
public func append(key key: String, bool: Bool) -> Bool
Parameters
key
The key for the field.
bool
The boolean value.
Return Value
true if successful; false if append would overflow max size.
-
Appends a new field to self.doc using @key as the key and @string as the UTF-8 encoded value.
Declaration
Swift
public func append(key key: String, string: String) -> Bool
Parameters
key
The key for the field.
string
A UTF-8 encoded string.
Return Value
true if successful; false if append would overflow max size.
-
Appends a bytes buffer to the BSON document.
Declaration
Swift
public func append(key key: String, bytes: [UInt8]) -> Bool
Parameters
key
The key for the field.
bytes
The bytes to append
Return Value
true if successful; false if append would overflow max size.
-
Appends a new field to self.doc of type BSON_TYPE_REGEX. @regex should be the regex string. @options should contain the options for the regex.
Valid options for @options are:
‘i’ for case-insensitive. ’m’ for multiple matching. ‘x’ for verbose mode. 'l’ to make \w and \W locale dependent. ’s’ for dotall mode (’.’ matches everything) 'u’ to make \w and \W match unicode.
For more information on what comprimises a BSON regex, see bsonspec.org.
Declaration
Swift
public func append(key key: String, regex: String, options: String) -> Bool
Parameters
key
The key of the field.
regex
The regex to append to the bson.
options
Options for @regex.
Return Value
true if successful; false if append would overflow max size.
-
Counts the number of elements found in self.doc. - returns: Int value of keys count
Declaration
Swift
public func countKeys() -> Int
Return Value
Int value of keys count
-
Checks to see if self.doc contains a field named @key.
This function is case-sensitive.
Declaration
Swift
public func hasField(key key: String) -> Bool
Parameters
key
The key to lookup.
Return Value
true if @key exists in self.doc; otherwise false.
-
Appends a new field named key to self.doc, the field is, however, incomplete. @child will be initialized so that you may add fields to the child array. Child will use a memory buffer owned by self.doc and therefore grow the parent buffer as additional space is used. This allows a single malloc’d buffer to be used when building arrays which can help reduce memory fragmentation.
The type of @child will be BSON_TYPE_ARRAY and therefore the keys inside of it MUST be
0
,1
, etc.Declaration
Swift
public func appendArrayBegin(key key: String, child: BSON) -> Bool
Parameters
key
The key for the field.
child
A location to an uninitialized bson_t.
Return Value
true if successful; false if append would overflow max size.
-
Finishes the appending of an array to self.doc. child is considered disposed after this call and should not be used any further.
Declaration
Swift
public func appendArrayEnd(child: BSON) -> Bool
Parameters
child
A bson document supplied to appendArrayBegin().
Return Value
true if successful; false if append would overflow max size.
-
Appends a BSON array to self.doc. BSON arrays are like documents where the key is the string version of the index. For example, the first item of the array would have the key
0
. The second item would have the index1
.Declaration
Swift
public func appendArray(key key: String, array: BSON) -> Bool
Parameters
key
The key for the field.
array
A bson document containing the array.
Return Value
true if successful; false if append would overflow max size.
-
Concatenate src with self.doc
Declaration
Swift
public func concat(src: BSON) -> Bool
Parameters
src
BSON doc to be concatenated.
Return Value
true if successful; false if append would overflow max size.


This intention will fill in any missing
case
labels on a
switch
statement with an enumerated type as it's switch expression


--- layout: archive title: Zulip Chat Archive permalink: /stream/113488-general/topic/using.20recursor.20to.20write.20term.html ---
I'm trying to be a computer scientist, unsuccessfully. I'm trying to define a function in term mode.
inductive C : Type | c1 : C | c2 : C inductive D : Type | d1 : D | d2 : D def thing1 (c : C) (d : D) : D := c.rec (_) -- correct "don't know how to synthesize placeholder -- here's a helpful context" (_) -- correct def thing2 (c : C) (d : D) : D := c.rec (d.rec _ _) (_) /- type mismatch at application C.rec (D.rec ?m_3 ?m_4 d) term D.rec ?m_2 ?m_3 d has type ?m_1 d : Sort ? but is expected to have type ?m_1 C.c1 : Sort ? -/
thing1
is where things are going well. I want to use recursion on c
and so I write c.rec _ _
and both underscores have nice red underlines, indicating that I'm on the right track.
But then I want to use recursion on d
too, so I edit thing1
until it becomes thing2
and instead of having now three nice red underlines under my three underscores, Lean just gives up, flags the c
in c.rec
as an error. In reality the two inductive types are far more complicated and have parameters etc.
Is there some trick to persuade Lean to start telling me the local context at every underscore? Have I just made some more basic error? It is going to be a royal pain figuring out all the types in my use case (some proofs are involved, I will need to drop into tactic mode at some point to supply all the terms needed).
Am I missing a trick? Have I made an error?
Try D.rec_on d
. I think there's a bug where it doesn't use the elab_as_eliminator
when you use projection notation
Also C.rec_on c
I think I love you. Many thanks!
Works in my real use case too :D I'm sure this has caused me problems on several occasions in the past. It's only now I am confident enough to start saying "I think this should work" rather than just saying "maybe I need to understand things better".
@Ellen Arlt I can write that function now.
{% endraw %}Last updated: Apr 24 2020 at 19:02 UTC


PERSONAL SERVICES A film review by Jeff Meyer Copyright 1987 Jeff Meyer
Seen at the Seattle Film Festival: PERSONAL SERVICES (Great Britain, 1986) Director: Terry Jones Screenwriter: David Leland Cast: Julie Walters, Alec McCowen, Shirley Stelfox, Danny Schiller
This is, unless you are rather prudish about sexual matters, a pretty funny film, but it really doesn't get rolling until after the first half-hour, so have a little patience. Maybe I was expecting too much; but with a director like Terry Jones (of MONTY PYTHON fame and thus a god to me :-) ), a writer like David Leland (who did MONA LISA last year), and Julie Walters (the actress who brought EDUCATING RITA to life), I was expecting some type of comedic Blitzkrieg. It isn't that, but it isn't bad, either.
We open with Walters, as a fairly rough woman who is losing her shirt sub-letting apartments to hookers in the city. Faced with financial ruin, she and her friends (a high-class hooker and her transsexual "maid") talk her into teaming up into a service specializing in elderly, kinky men...harmless in themselves, but liking to be chained to walls and pissed upon, to dress up in womens' clothes, or to get into old school uniforms and be spanked by the "headmistress." Soon their business begins burgeoning to the point that they must find a larger place to practice business, and they move to the suburbs... and this is where the film really takes off. While there are some funny sequences in the first half, much of it seems to be trying to make a dramatic point about the dreams Walters has of a married life, and the realities she must face in the real world.
The main theme of the film seems to be that tolerance of sexual eccentricity would make the world a better place. I must admit, I'd rather hang around the people in this movie than Jerry Falwell and his righteous legion any day. C+ for those who like bawdy laughs and can get by the English accents (B for the second half).
Moriarty, aka Jeff Meyer INTERNET<EMAIL_ADDRESS>Manual UUCP: {uw-beaver, sun, allegra, hplsla, lbl-csam}!fluke!moriarty
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


--- layout: page title: About header-img: "img/about-bg.png" ---
The first project as a software engineer and ready to share it with you.


Data is being read in via a "mock web socket" using JSON events data generated by velp from the event log: all-matches.txt


AWS::EC2::Volume
Specifies an Amazon Elastic Block Store (Amazon EBS) volume. You can attach the volume to an instance in the same Availability Zone using AWS::EC2::VolumeAttachment.
When you use AWS CloudFormation to update an Amazon EBS volume that modifies
Iops
, Size
, or VolumeType
, there is a cooldown
period before another operation can occur. This can cause your stack to report being in
UPDATE_IN_PROGRESS
or UPDATE_ROLLBACK_IN_PROGRESS
for long
periods of time.
Amazon EBS does not support sizing down an Amazon EBS volume. AWS CloudFormation does not attempt to modify an Amazon EBS volume to a smaller size on rollback.
Some common scenarios when you might encounter a cooldown period for Amazon EBS include:
-
You successfully update an Amazon EBS volume and the update succeeds. When you attempt another update within the cooldown window, that update will be subject to a cooldown period.
-
You successfully update an Amazon EBS volume and the update succeeds but another change in your
update-stack
call fails. The rollback will be subject to a cooldown period.
For more information on the cooldown period, see Requirements when modifying volumes.
DeletionPolicy attribute
To control how AWS CloudFormation handles the volume when the stack is deleted, set a deletion policy for your volume. You can choose to retain the volume, to delete the volume, or to create a snapshot of the volume. For more information, see DeletionPolicy attribute.
If you set a deletion policy that creates a snapshot, all tags on the volume are included in the snapshot.
Syntax
To declare this entity in your AWS CloudFormation template, use the following syntax:
JSON
{ "Type" : "AWS::EC2::Volume", "Properties" : { "AutoEnableIO" :
Boolean
, "AvailabilityZone" :String
, "Encrypted" :Boolean
, "Iops" :Integer
, "KmsKeyId" :String
, "MultiAttachEnabled" :Boolean
, "OutpostArn" :String
, "Size" :Integer
, "SnapshotId" :String
, "Tags" :[ Tag, ... ]
, "Throughput" :Integer
, "VolumeType" :String
} }
YAML
Type: AWS::EC2::Volume Properties: AutoEnableIO:
Boolean
AvailabilityZone:String
Encrypted:Boolean
Iops:Integer
KmsKeyId:String
MultiAttachEnabled:Boolean
OutpostArn:String
Size:Integer
SnapshotId:String
Tags:- Tag
Throughput:Integer
VolumeType:String
Properties
AutoEnableIO
-
Indicates whether the volume is auto-enabled for I/O operations. By default, Amazon EBS disables I/O to the volume from attached EC2 instances when it determines that a volume's data is potentially inconsistent. If the consistency of the volume is not a concern, and you prefer that the volume be made available immediately if it's impaired, you can configure the volume to automatically enable I/O.
Required: No
Type: Boolean
Update requires: No interruption
AvailabilityZone
-
The Availability Zone in which to create the volume.
Required: Yes
Type: String
Update requires: Updates are not supported.
Encrypted
-
Indicates whether the volume should be encrypted. The effect of setting the encryption state to
true
depends on the volume origin (new or from a snapshot), starting encryption state, ownership, and whether encryption by default is enabled. For more information, see Encryption by default in the Amazon Elastic Compute Cloud User Guide.Encrypted Amazon EBS volumes must be attached to instances that support Amazon EBS encryption. For more information, see Supported instance types.
Required: No
Type: Boolean
Update requires: Updates are not supported.
Iops
-
The number of I/O operations per second (IOPS). For
gp3
,io1
, andio2
volumes, this represents the number of IOPS that are provisioned for the volume. Forgp2
volumes, this represents the baseline performance of the volume and the rate at which the volume accumulates I/O credits for bursting.The following are the supported values for each volume type:
-
gp3
: 3,000-16,000 IOPS -
io1
: 100-64,000 IOPS -
io2
: 100-64,000 IOPS
io1
andio2
volumes support up to 64,000 IOPS only on Instances built on the Nitro System. Other instance families support performance up to 32,000 IOPS.This parameter is required for
io1
andio2
volumes. The default forgp3
volumes is 3,000 IOPS. This parameter is not supported forgp2
,st1
,sc1
, orstandard
volumes.Required: Conditional
Type: Integer
Update requires: No interruption
-
KmsKeyId
-
The identifier of the AWS KMS key to use for Amazon EBS encryption. If
KmsKeyId
is specified, the encrypted state must betrue
.If you omit this property and your account is enabled for encryption by default, or Encrypted is set to
true
, then the volume is encrypted using the default key specified for your account. If your account does not have a default key, then the volume is encrypted using the AWS managed key.Alternatively, if you want to specify a different key, you can specify one of the following:
-
Key ID. For example, 1234abcd-12ab-34cd-56ef-1234567890ab.
-
Key alias. Specify the alias for the key, prefixed with
alias/
. For example, for a key with the aliasmy_cmk
, usealias/my_cmk
. Or to specify the AWS managed key, usealias/aws/ebs
. -
Key ARN. For example, arn:aws:kms:us-east-1:012345678910:key/1234abcd-12ab-34cd-56ef-1234567890ab.
-
Alias ARN. For example, arn:aws:kms:us-east-1:012345678910:alias/ExampleAlias.
Required: No
Type: String
Update requires: Updates are not supported.
-
MultiAttachEnabled
-
Indicates whether Amazon EBS Multi-Attach is enabled.
AWS CloudFormation does not currently support updating a single-attach volume to be multi-attach enabled, updating a multi-attach enabled volume to be single-attach, or updating the size or number of I/O operations per second (IOPS) of a multi-attach enabled volume.
Required: No
Type: Boolean
Update requires: No interruption
OutpostArn
-
The Amazon Resource Name (ARN) of the Outpost.
Required: No
Type: String
Update requires: No interruption
Size
-
The size of the volume, in GiBs. You must specify either a snapshot ID or a volume size. If you specify a snapshot, the default is the snapshot size. You can specify a volume size that is equal to or larger than the snapshot size.
The following are the supported volumes sizes for each volume type:
-
gp2
andgp3
: 1-16,384 -
io1
andio2
: 4-16,384 -
st1
andsc1
: 125-16,384 -
standard
: 1-1,024
Required: Conditional
Type: Integer
Update requires: No interruption
-
SnapshotId
-
The snapshot from which to create the volume. You must specify either a snapshot ID or a volume size.
Required: Conditional
Type: String
Update requires: Updates are not supported.
Tags
-
The tags to apply to the volume during creation.
Required: No
Type: List of Tag
Update requires: No interruption
Throughput
-
The throughput to provision for a volume, with a maximum of 1,000 MiB/s.
This parameter is valid only for
gp3
volumes. The default value is 125.Valid Range: Minimum value of 125. Maximum value of 1000.
Required: No
Type: Integer
Update requires: No interruption
VolumeType
-
The volume type. This parameter can be one of the following values:
-
General Purpose SSD:
gp2
|gp3
-
Provisioned IOPS SSD:
io1
|io2
-
Throughput Optimized HDD:
st1
-
Cold HDD:
sc1
-
Magnetic:
standard
For more information, see Amazon EBS volume types in the Amazon Elastic Compute Cloud User Guide.
Default:
gp2
Required: No
Type: String
Allowed values:
gp2 | gp3 | io1 | io2 | sc1 | st1 | standard
Update requires: No interruption
-
Return values
Ref
When you pass the logical ID of this resource to the intrinsic Ref
function, Ref
returns the resource name. For example:
vol-5cb85026
.
For more information about using the Ref
function, see Ref.
Fn::GetAtt
The Fn::GetAtt
intrinsic function returns a value for a specified attribute of this type. The following are the available attributes and sample return values.
For more information about using the Fn::GetAtt
intrinsic function, see Fn::GetAtt.
Examples
Encrypted Amazon EBS volume with DeletionPolicy
The following example creates an encrypted gp2
volume with a
DeletionPolicy attribute that creates a snapshot of the volume when the stack is
deleted.
JSON
"NewVolume" : { "Type" : "AWS::EC2::Volume", "Properties" : { "Size" : "100", "Encrypted" : "true", "AvailabilityZone" : { "Fn::GetAtt" : [ "Ec2Instance", "AvailabilityZone" ] }, "Tags" : [ { "Key" : "MyTag", "Value" : "TagValue" } ] }, "DeletionPolicy" : "Snapshot" }
YAML
NewVolume: Type: AWS::EC2::Volume Properties: Size: 100 Encrypted: true AvailabilityZone: !GetAtt Ec2Instance.AvailabilityZone Tags: - Key: MyTag Value: TagValue DeletionPolicy: Snapshot
Provisioned IOPS SSD io1 volume
The following example creates a 100 GiB io1
with 100
provisioned IOPS.
JSON
"NewVolume" : { "Type" : "AWS::EC2::Volume", "Properties" : { "Size" : "100", "VolumeType" : "io1", "Iops" : "100", "AvailabilityZone" : { "Fn::GetAtt" : [ "EC2Instance", "AvailabilityZone" ] } } }
YAML
NewVolume: Type: AWS::EC2::Volume Properties: Size: 100 VolumeType: io1 Iops: 100 AvailabilityZone: !GetAtt Ec2Instance.AvailabilityZone
See also
-
CreateVolume in the Amazon EC2 API Reference


Bafang
Warranty Checker
Check your mid motor
Serial Number :
Check
Your Serial Number :
Test output
Total period of warranty :
30 Months
The total months from produciton date is:
(
1
) Controller Signature & length of Cable:
(
2
) Production place :
(
3
) Date of production :
(
4
) Signature number motor :
Info
Here will be displayed serial number of motor
Serial number example:
040F5TC200584
(
1
)
040
(
2
)
F5
(
3
)
TC20
(
4
)
0584
Year:
Month:
Day:
( show / hide ) information
4.
Position - signature of controller & lentgth of cable
3 characters
5.
Position - place of production F = Bafang Suzhou || P = Bafang Poland
2 characters
6.
Position - Data of production
( 4 characters )
Year
R
- 2017
S
- 2018
T
- 2019
U
- 2020
V
- 2021
W
- 2022
X
- 2023
Month
1 - 9 ( january - september )
A - C ( october - december )
Day
01-31 days
7.
engine sequence number
Last 4 characters


Live Example
Code
Store to Door is an example of an ordering and delivery platform and was my final project at The Iron Yard.
Customer users can add contact information, browse grocery items, look for nearby stores, add items to a cart, send the list up to the driver users. Search items are pulled through the Supermarket API. Driver users can mark lists as complete or in progress. The original concept was to assist the elderly, so we took care to make it clear and simple to use.
I was the backend engineer, and I was in charge of database management, API endpoints, driver side auth through django, email config, DRF token auth, and Heroku deployment.
To get the app running locally, install the requirements.txt file, set up a Python 3 virtual enviroment, set a Django secret key in settings, and get an API key for the Supermarket API.
Uses:
- Python
- Bootstrap
- Django
- Django REST Framework
- Gunicorn WSGI
- Psycopg2
- dj-database-url
- WhiteNoise
- Python requests library
- XMLJSON library
- JavaScript
- HTML/CSS/SCSS
- jQuery
- Backbone
- React


---
layout: default
title: Sitespeed.io - Release notes 2.2
description: Sitespeed.io 2.2 release focus on packaging for Homebrew.
author: Peter Hedenskog
keywords: sitespeed.io, release, release-notes, 2.2
nav:
image: https://www.sitespeed.io/img/sitespeed-2.0-twitter.png
twitterdescription: Sitespeed.io 2.2 release focus on packaging for Homebrew.
---
This release contains a couple of fixes for making it easier to package sitespeed.io:
- Important: All scripts has been moved to the bin folder, making it easier to package
- Important: The sites & the JUnit scripts has been renamed sitespeed.io-sites & sitespeed.io-junit
- All scripts has been cleaned to use absolute paths, making it easier to package for Homebrew
- sitespeed-sites.io always need to have the filename of the text file containing all the URLS (before there was a default file name)
- New BrowserTime (0.3) version including metrics backEndTime & frontEndTime
- Changed default summary page to show backend & frontend time (removed redirectionTime & domInteractiveTime)
- Increased timeout for the crawler for really slow pages (now 60 seconds)
And one bug fix:
- The fix for removing invalid XML caharcters created by GA, sometimes broke the analyse, now fixed (#304)
See the changelog for changes done in the past.


Source code for randomGenerator
# Copyright 2014 Modelling, Simulation and Design Lab (MSDL) at
# McGill University and the University of Antwerp (http://msdl.cs.mcgill.ca/)
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""
Module to offer 'really deterministic' (pseudo-)random number generation in a Distributed Time Warp implementation.
For local simulation, using the random library from Python as usual is perfectly ok.
"""
import random
[docs]class RandomGenerator(object):
"""
Base class, which implements a random number interface for the 'uniform' and 'random' Python standard library functions.
.. note:: The generated random numbers are **not** equal to those generated by direct calls to the library functions, as we also use a random number to initialize the seed in the next iteration.
"""
[docs] def __init__(self, seed):
"""
Constructor
:param seed: the seed to start with, this will simply be passed to the *random* library at every function call
"""
#NOTE: This is implemented using only a seed (and actually, only a number), instead of using the 'getState()' en 'setState(state)'
# functions provided by the library. This was done to allow far more simple comparison (for memoization), hashing (as we
# have overwritten the comparison) and copying (for custom state saving).
self.seed = seed
[docs] def __eq__(self, other):
"""
Compare two instances of random number generators.
Needed for memoization.
:param other: the instance to compare with
:returns: bool -- do these random number generators return the same sequence?
"""
return type(self) == type(other) and self.seed == other.seed
[docs] def __hash__(self):
"""
Hash this random number generator.
Needed as the comparison method was changed!
:returns: hash
"""
return self.seed
[docs] def copy(self):
"""
A copy method to be used when defining custom state saving methods. It will return a complete copy of this random number
generator, which will generate exactly the same sequence of numbers.
"""
return RandomGenerator(self.seed)
def __wrapFunction(self, func, args):
"""
Internal wrapper for most functions, allows easy addition of new functions should the need arise. It updates the internal state and
guarantees determinism even when revertions happen.
:param func: the function to call on the *random* module (a string)
:param args: the arguments to pass (a list)
:returns: random -- the generated value
"""
random.seed(self.seed)
val = getattr(random, func)(*args)
self.seed = random.random()
return val
[docs] def random(self):
"""
Call the random function of the *random* library.
:returns: float -- a random value between 0 and 1
"""
return self.__wrapFunction("random", [])


Thank you, SRCCON 2017 attendees! You brought your ideas, your passions, and your whole selves to Minneapolis and created an incredible experience for everyone there. We’ll be cleaning up transcripts and publishing writeups on Source soon, and sharing more of the wonderful work that took place in more than 50 sessions and workshops this year.
And stay tuned this month for more information about SRCCON:WORK in Philadelphia this December, where we can continue many of these important conversations about taking care of each other and taking on the hard work of journalism.
SRCCON is a hands-on conference, full of conversations and workshops focused on the practical challenges that news technology and data teams encounter every day. We work to make it an inclusive and welcoming event where people can feel comfortable digging into complex problems. Last year SRCCON included nearly 300 attendees and more than 50 sessions that covered a wide range of topics, from tech strategies to workplace culture struggles.
The majority of SRCCON participants are developers, designers, and data analysts who work in newsrooms. We also enthusiastically welcome attendees from closely allied fields like civic tech, mapping, open data, and others who are curious about journalism and excited to share their expertise at a journalism-centric conference.
Our participants represent organizations ranging from massive to tiny, and come from all over the US and many other countries. Each year, we particularly welcome journalists and allies from the city hosting SRCCON, and we’re working to build better remote-participation options for those who can’t attend in person.
To get information about tickets, our call for proposals and other SRCCON-related info and news, sign up for the OpenNews notification list:
While all of our SRCCON news will be going out on our mailing list, if you want to contact us, we'd love to hear from you:
SRCCON is produced by OpenNews, an organization built to connect a network of developers, designers, journalists and editors to collaborate on open technologies and processes within journalism.
The “src” in SRCCON stands for “Source,” as in “view source.” We pronounce it “Source-con,” but you can say it however you want.


Hey there!
I'm a master student studying Computer Science at the University of Southern California.
Besides being a student, I'm also working as a research assistant in the Interaction Lab and a Course Producer(Undergraduate Teaching Assistant) at the Viterbi School of Engineering.
Software Development(Back End)
iOS Development
Machine Learning/Security
M.S. in Computer Science, May 2022
University of Southern California
B.S. in Computer Science, May 2021, GPA 3.93/4.0
University of Southern California
Worked closely with Prof. Redekopp
Developed an AI-based model for closed job detection
Based on the recommendation of Prof. Madhav, got recognized for the ITP Course Teaching Assistant Award
Worked closely with Prof. Paolieri and Prof. Redekopp
Collaborated with Ph.D. student Chris Birmingham and supervised by Dr. Maja Matarić
Robot-Facilitated Cancer Support Group
Goal: Design and develop a robot to help patients with oncology with psychological problems including distress and
anxiety; Develop a robot facilitator to maximize group cohesion and patient disclosure to maximize the effectiveness of the
cancer support group.
Trust in Multi-Party Human-Robot Interaction
Goal:Explore how robots and people establish, maintain, and repair trust in Multi-Party Human-Robot
Interaction; Examine robot group mediation for group counseling and potentials to team performance in robot service
and support teams.
Worked closely with Prof. Redekopp and Prof. Batista
Created a compiler that will be able to convert from our ProCC high-level language into the ITP-11 assembly for the virtual machine beside.
Implemented a virtual machine for the imaginary ITP-11 computer system with the Turtle Processing UnitTM. This advanced system features fifteen 32-bit registers, 1 KB of stack space, and 3-bit color graphics.
A detailed implementation of a first-person 3D parkour game in which player can run, jump, climb walls and collect coins.
A detailed remake of the classic Pac-Man game.
A web which helps you make a better choice on course selection.
A detailed remake of the classic Mario Kart game.
A project which rebuilt, trained, and analyzed a CRNN model with 5 CNN layers and 2 LSTM layers along with the CTC best path decoding and beam search decoding on the IAM handwriting dataset and Bentham HTR dataset.
A web application that can help users track the value of their stock portfolio over time and make investment decisions.
An iOS app similar to Instacart that works directly with Farmers Markets and local farmers to provide Angelenos a convenient way to order fresh and local produce as easily as any take-out meal.
C++/C(professional), Python, Java, Swift, Spark
Scikit-learn, Matplotlib, OpenCV
Linear Algebra, Probability, Calculus
Java, Bootstrap, SQL, jQuery etc.
Swift, Firestore, MessageKit, MapKit, Google SignIn etc.
Github, Linux, Docker, Figma
Zixuan Li © 2021. All rights reserved. Powered by Bootstrap.
Source on GitHub. Theme based on the Creative Bootstrap Theme by Start Bootstrap.


Police charge man with 1987 killings of father, son in Connecticut home
by APHAMDEN, Connecticut -- Connecticut authorities say they have solved a 1987 double homicide and arrested a man in connection with the killings.
Hamden police on Wednesday announced they charged 52-year-old Willie McFarland, of New Haven, with two counts of murder.
Fifty-nine-year-old Fred Harris and his 23-year-old son, Gregory Harris, were killed in their Hamden home on Aug. 21, 1987. Police say both were found bound and with knife wounds.
Police did not immediately disclose what led investigators to McFarland.
Officials say McFarland was arraigned in Meriden Superior Court on the charges Wednesday morning and detained on $2 million bail.
McFarland was represented by the public defender's office. A message seeking comment was left for the office.
He is due back in court Dec. 3.


In this final step, we help you to prepare all the documents you might require to generate the full experimental procedure. In addition, we auto-generate an experimental design document that you can use to refer to as you execute your experiment.
1. Recruitment form [Download template]
2. Consent form [Download template]
3. Pre-experiment questionnaire [Link to Google Docs to set up forms]
4. Pre-experiment Instructions [Download template]
5. Save the experimental design (*.json format for reloading) [Designed file from NexP]
6. Download the summarized report [Auto-generate from NexP]
7. Post-experiment questionnaire [Link to Google Docs to set up forms]
8. Participant debrief [Download template]
Re-design another controlled experiment. Remember to save your design to the local machine.


|
CardGame
|
Public Member Functions | |
| Server (bool debug=false) | |
| void | Open () |
| void | Close () |
| void | Error (string type, string msg) |
| void | PrintOnDebug (string msg) |
| void | WriteTo (string type, string ip, int port, string msg) |
| void | WriteToAll (string type, string msg) |
| void | WriteToOther (string type, string ip, int port, string msg) |
| bool | CheckClose () |
| void | Run () |
Public Attributes | |
| NetworkManager | network |
| PlayerManager | players |
| EventManager | events |
| GameManager | game |
| Serializer | serializer |
Properties | |
| static Server | Instance [get] |
| bool | debug [get, set] |
This class contain all the module composing the server. It contains the I/O module too.
This class is a singleton.
|
inline |
Constructor
| debug | Allow or not the debug prints. |
|
inline |
Check if all the players are ONLINE
|
inline |
Close the server.
|
inline |
Print an Error.
| type | The type of the error. |
| msg | The error message. |
|
inline |
Open the server.
|
inline |
Print something wich can only be display in debug mode.
| msg | The message to print. |
|
inline |
Play one turn of the game according to the game state.
|
inline |
Send a string to a client.
| type | The type of the event. |
| ip | The ip of the client. |
| port | The port of the client. |
| msg | The message to send to the client. |
|
inline |
Send a string to a all of the client.
| type | The type of the event. |
| msg | The message to send to the clients. |
|
inline |
Send a string to a all of the clients except one.
| type | The type of the event. |
| ip | The ip of the client to ignore. |
| port | The port of the client to ignore. |
| msg | The message to send to the clients. |
| EventManager Server.Server.events |
List of all the events.
| GameManager Server.Server.game |
Contains the state of the game.
| NetworkManager Server.Server.network |
Contains the network gestion.
| PlayerManager Server.Server.players |
List all the player's ips by id.
| Serializer Server.Server.serializer |
Object wich serialize and deserialize objects.
|
getset |
Getter / Setter of the status of debug.
|
staticget |
Getter of the singleton.


Pyportify can help you move all your beloved playlists from Spotify to Google Music: All Access
However by using Pyportify you may violate both Spotify's and Google's Terms of Service. You agree that
you are using Pyportify on your own risk. The author does not accept liability (as far as permitted by law) for any loss arising from any use of this tool.
If you choose not to agree to these terms, then you may not use this tool.
Get started.


WITNESS LIST International Relations & Trade Committee March 16, 2005 - 1:30P SB 183 Registering, but not testifying: For: delaFuente, Veronica Admin. Asst. for Intergovernmental Affairs (Office of the Cameron County Judge Gilberto Hinojosa), Brownsville, TX On: Saenz, Amadeo Assistant Executive Director (Texas Department of Transportation), Austin, TX SB 185 ON: Garcia, Buddy Asst. Secretary of State/Border Commerce Coordinator (Secretary of State), Austin, TX SB 229 FOR: Sepulveda, Pete Director, Dept. of Transportation (Cameron County), Brownsville, TX Vale, Sam President (Starr-Camargo Bridge Co.), Rio Grande City, TX ON: Rogers, Mark Major (Texas Dept. of Public Safety), Austin, TX Registering, but not testifying: For: delaFuente, Veronica Admin. Asst. for Intergovernmental Affairs (Office of the Cameron County Judge Gilberto Hinojosa), Brownsville, TX Providing written testimony: For: Caviness, Stephanie President (Foreign Trade Association), El Paso, TX


{{ decData }}
Go to https://codepen.io/mallendeo/full/brZJBa and scan this with your webcam.
Scan the code with an app and decode it with
$ openssl enc -d -base64 -A -aes-256-cbc -in encoded.txt -out decoded.txt


class Object
Public Instance Methods
Conducts a ABC analysis based on machine count
- INFILE
-
input csv-file sperated with colons (;) to operate on
- COUNTRY_NAME
-
country-identifier for the resulting files
Result of ABC analysis is in the file ‘ABC-analysis-COUNTRY_NAME.csv’. If no COUNTRY_NAME is given the result is in ‘ABC-analysis-infile_basename.csv’
# File machine_age.rb, line 13 def abc_analysis infile, result, *others = params abc_filename = "ABC-analysis-#{others[0] || File.basename(infile, '.*')}.csv" puts; print "Assigning machine count to customers..." aggregator = Sycsvpro::Aggregator.new(infile: infile, outfile: "aggregate.csv", cols: "45", sum: "Total:1,Machines") aggregator.execute puts; print "Sort customers based on machine count descending..." sorter = Sycsvpro::Sorter.new(infile: "aggregate.csv", outfile: "sort.csv", cols: "n:1", df: "%Y-%m-%d", desc: "d") sorter.execute puts; print "Categorize customers in regard to machine count..." counter = Sycsvpro::Counter.new(infile: "sort.csv", outfile: "count.csv", rows: "1-#{result.row_count}", key: "0:customer,1:machines", cols: "1:<10,1:10-50,1:>50", sort: false) counter.execute puts; print "Conducting ABC-analysis..." calculator = Sycsvpro::Calculator.new(infile: "count.csv", outfile: abc_filename, header: "*,A,B,C", rows: "2-#{result.row_count}", cols: "5:A=c4*c1,6:B=c3*c1,7:C=c2*c1", sum: true) calculator.execute clean_up(["aggregate.csv", "sort.csv", "count.csv"]) puts; puts "You can find the result of the ABC Analysis in '#{abc_filename}'" end
Extracts country and region combinations from the infile. This is just for information purposes and can be used to extract country rows from the file with `extract_regional_data`
Creates result as
REGION;COUNTRIES SDW;DE;AT
- INFILE
-
input csv-file sperated with colons (;) to operate on
# File machine_age.rb, line 272 def country_region_combination infile, result, *others = params outfile = "country-region-combinations.csv" puts; print "Extracting country-region combinations from #{infile}" Sycsvpro::Allocator.new(infile: infile, outfile: outfile, key: "18", cols: "4-6").execute puts; puts "The result can be found in '#{outfile}'" end
Extract customers with RSCs and categorize regarding expiration date
- INFILE
-
input csv-file sperated with colons (;) to operate on
- COUNTRY_NAME
-
country-identifier for the resulting files
Expects the insert file ~/.syc/sycsvpro/scripts/active_expired_RSC.ins If active_expired_RSC.ins is not available you can create it with
sycsvpro edit -s active_expired_RSC.ins
and add following content
;=b5;=c5;=d5;=e5 ;=sum(b3:b4);=sum(c3:c4);=sum(d3:d4);=sum(e3:e4) active;=sum(c4:e4);=sum(d4:e4);=e4 expired;=b6;=c6;=d6;=e6
The result is in the file ‘country_name-ibase.csv’ if country_name is given otherwise the result is in infile_base_name-ibase.csv
# File expired_rsc.rb, line 25 def expired_rsc infile, result, *others = params result_file_name = "#{others[0] || File.base_name(infile, '.*')}-ibase.csv" puts; print "Extracting RSCs and categorize regarding expiration" df = "%d.%m.%Y" timeleap = SycTimeleap::TimeLeap.new e2ya = "<#{timeleap.b2y.strftime(df)}" e2ya1ya = "#{timeleap.b2y.strftime(df)}-#{timeleap.b1y.strftime(df)}" e1yatoday = "#{(timeleap.b1y + 1).strftime(df)}-#{timeleap.tod.strftime(df)}" eatoday = ">#{timeleap.tod.strftime(df)}" puts; puts "#{e2ya} #{e2ya1ya} #{e1yatoday} #{eatoday}" Sycsvpro::Counter.new( infile: infile, outfile: "country-ibase.csv", rows: "1-#{result.row_count}", key: "45:Customer", cols: "11:#{e2ya},11:#{e2ya1ya},11:#{e1yatoday},11:#{eatoday}", df: "%d.%m.%Y", sort: false, sum: "Total:1,Sum").execute puts; print "Sorting customers based on count of RSCs" Sycsvpro::Sorter.new(infile: "country-ibase.csv", outfile: "country-ibase-sort.csv", desc: true, cols: "n:5").execute puts; print "Inserting calculation scheme for expired RSC histogram" insert_file = File.expand_path("~/.syc/sycsvpro/scripts/active_expired_RSC.ins") Sycsvpro::Inserter.new(infile: "country-ibase-sort.csv", outfile: result_file_name, insert: insert_file, position: "top").execute clean_up(["country-ibase.csv", "country-ibase-sort.csv"]) puts; puts "You can find the result of the expired RSC statistics in "+ "#{result_file_name}" end
Collects the countries and regions contained in the infile. This is just for information purposes to know for which countries and regions data is available
- INFILE
-
input csv-file sperated with colons (;) to operate on
Result is in the file ‘countries_and_regions.csv’
# File machine_age.rb, line 244 def extract_countries_and_regions infile, result, *others = params out_file_name = "countries_and_regions.csv" puts; print "Extracting countries and regions from #{infile}" col_filter = "COUNTRIES:4-6+REGIONS:18" Sycsvpro::Collector.new(infile: infile, outfile: out_file_name, cols: col_filter).execute puts; puts "You can find the collection result in #{out_file_name}" end
Extracts the rows for region out of the infile
- INFILE
-
input csv-file sperated with colons (;) to operate on
- REGION
-
filter for the rows and region-identifier for the resulting file
- COUNTRY_NAME
-
country-identifier for the resulting (optional)
Result is in the file ‘COUNTRY_NAME-REGION-spare-and-repairs.csv’ If no country/region name is given the result is in ‘spares-and-repairs.csv’
# File machine_age.rb, line 188 def extract_regional_data infile, result, *others = params country_part = "" country_part << "#{others[0]}-" if others[0] country_part << "#{others[1]}-" if others[1] out_file_name = "#{country_part}spares-and-repairs.csv" puts; print "Extracting rows of #{country_part.chop}" row_filter = "BEGINs18=='#{others[0]}'||s18=='RE_GEBIET'END" Sycsvpro::Extractor.new(infile: infile, outfile: out_file_name, rows: row_filter).execute puts; puts "You can find the result in #{out_file_name}" end
Inserts the customer data into the region file
- INFILE
-
input csv-file sperated with colons (;) to operate on
- CUSTOMERS
-
file that contains customer data to be inserted into INFILE
Result is in the file ‘INFILE_BASE_NAME-with-customers.csv’
# File machine_age.rb, line 215 def insert_customer_data infile, result, *others = params outfile = "#{File.basename(infile, '.*')}-with-customers.csv" source = others[0] puts; print "Inserting customers from #{source} into #{infile}" Sycsvpro::Join.new(infile: infile, outfile: outfile, source: source, cols: "1,2;1,2", joins: "0=19;0=20", pos: "20,21;23;24", insert_header: "OI_EK_NAME,OI_EK_LAND;OI_AG_NAME,OI_AG_LAND").execute puts; puts "You can find the result in #{outfile}" end
Builds histogram data for machine count regarding machine ages
- INFILE
-
input csv-file sperated with colons (;) to operate on
- COUNTRY_NAME
-
country-identifier for the resulting files
Result of machine ages is in the file ‘machine-ages-COUNTRY_NAME.csv’. If no COUNTRY_NAME is given the result is in ‘machine-ages-infile_basename.csv’
# File machine_age.rb, line 74 def machine_age infile, result, *others = params ages_filename = "machine-ages-#{others[0] || File.basename(infile, '.*')}.csv" puts; print "Extracting date columns for #{infile}..." Sycsvpro::Extractor.new(infile: infile, outfile: "extract.csv", cols: "45,10-12,84").execute puts; print "Determine the machine ages based on the oldest date..." Sycsvpro::Calculator.new(infile: "extract.csv", outfile: "calc.csv", header: "*,Age", cols: "5:Age=[d1,d2,d3,d4].compact.min", df: "%d.%m.%Y").execute puts; print "Create histogram for machine ages..." timeleap = SycTimeleap::TimeLeap.new o10y = "<#{timeleap.b10y}" b10a7y = "#{timeleap.b10y}-#{timeleap.b7y}" b7a2y = "#{timeleap.b7y+1}-#{timeleap.b2y}" y2y = ">#{timeleap.b2y}" Sycsvpro::Counter.new(infile: "calc.csv", outfile: "count.csv", rows: "1-#{result.row_count}", key: "0:customer", cols: "5:#{o10y},5:#{b10a7y},5:#{b7a2y},5:#{y2y}", df: "%Y-%m-%d", sum: "Total:1,Sum", sort: false).execute puts; print "Calculate count of machines older than 7 years per customer..." Sycsvpro::Calculator.new(infile: "count.csv", outfile: "calc.csv", header: "*,Older7Years", cols: "6:Older7Years=c1+c2").execute puts; print "Sorting customers based on machine count and age" Sycsvpro::Sorter.new(infile: "calc.csv", outfile: ages_filename, cols: "n:5,n:6", start: "1", desc: true).execute clean_up(["extract.csv", "calc.csv", "count.csv"]) puts; puts "You can find the result of the histogram data in '#{ages_filename}'" end
Extracts the top customers based on machine count and age
- INFILE
-
input csv-file sperated with colons (;) to operate on Use the resulting file from machine_age method invocation
- COUNTRY_NAME
-
country-identifier for the resulting files
- COUNT
-
select rows only with machine count >= COUNT
Result is in the file ‘A-customers-NAME.csv’, ‘A-customers-count-COUNTRY_NAME.csv’ and ‘A-customers-age-COUNTRY_NAME.csv’. If no COUNTRY_NAME is given the result is in ‘A-customers-xxx-infile_basename.csv’
# File machine_age.rb, line 146 def machine_count_top infile, result, *others = params a_filename = "A-customers-#{others[0] || File.basename(infile, '.*')}.csv" count_filename = "A-customers-count-#{others[0] || File.basename(infile, '.*')}.csv" age_filename = "A-customers-age-#{others[0] || File.basename(infile, '.*')}.csv" count = others[1] || 50 puts; print "Extracting customers with more than #{count} machines" Sycsvpro::Extractor.new(infile: infile, outfile: a_filename, rows: "0,1,BEGINn5>=#{count}END").execute puts; print "Extract customer name and machine count" Sycsvpro::Extractor.new(infile: a_filename, outfile: count_filename, cols: "0,5").execute puts; print "Extract customer name, machine count and age older than 7 years" Sycsvpro::Extractor.new(infile: a_filename, outfile: age_filename, cols: "0,5,6").execute puts; puts "You can find the result in '#{a_filename}', '#{count_filename}' "+ "and '#{age_filename}'" end
Calculates the revenue per region per year separated to SP, RP and Total and creates a file of the form
Year | SP | RP | Total ---- | ------- | ------ | ------- | 3500.50 | 300.30 | 3600.80 2013 | 2200.50 | 200.20 | 2400.70 2014 | 1300.00 | 100.10 | 1200.10
- INFILE
-
input csv-file sperated with colons (;) to operate on Use the resulting file from machine_age method invocation
- COUNTRY_NAME
-
country-identifier for the resulting file
- REGION
-
region-identifier for the resulting file
Result is in the file ‘COUNTRY_NAME-REGION-spare-and-repairs-revenues.csv’ If no country/region name is given the result is in ‘spares-and-repairs-revenues.csv’
# File machine_age.rb, line 307 def region_revenue infile, result, *others = params country_part = "" country_part << "#{others[0]}-" if others[0] country_part << "#{others[1]}-" if others[1] out_file_name = "#{country_part}spares-and-repairs-revenues.csv" puts; print "Creating table from spares and repairs revenue for country "+ "#{country_part.chop}" sp_order_type = %w{ ZRN ZRK } rp_order_type = %w{ ZE ZEI ZO ZOI ZG ZGNT ZRE ZGUP } Sycsvpro::Table.new(infile: infile, outfile: out_file_name, header: "Year,SP,RP,Total", key: "c0=~/\\d+\\.\\d+\\.(\\d{4})/", cols: "SP:+n10 if #{sp_order_type}.index(c1),"+ "RP:+n10 if #{rp_order_type}.index(c1),"+ "Total:+n10 if #{sp_order_type}.index(c1) || "+ "#{rp_order_type}.index(c1)", nf: "DE", sum: "top:SP,RP,Total").execute puts; puts "You can find the result in #{out_file_name}" end


Inlines an
xsl:attribute
instruction into an Attribute Value Template.
Powered by XPathView + XSLT-Support


{% extends "base.html" %}
{% load bootstrap4 %}
{% block extra_js %}
{% endblock extra_js %}
{% block content %}
Welcome
Search home
{% if search_form %}
{% endif %} {% else %}
An ultimate house-renting solution. Please login to continue
{% endif %}
Time constraint and hastle of roaming in streets looking for suitable homes pulling you down. Filter your search here and find your home easily. Looking for homes for rent was never this easy!
Get your homes rented easily. More number of views online than people physically coming to see your home each time. Lesser hastle of showing your home everytime to potential tenets !
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DARK CITY
STARRING: Rufus Sewell, William Hurt, Kiefer Sutherland, Jennifer Connelly, Richard O'Brien WRITTEN BY: Alex Proyas, Lem Dobbs and David S. Goyer DIRECTED BY: Alex Proyas.
--PLOT--
Dark City is a great visionary achievement, a film so original and exciting, it stirred my imagination like no movie has in a long time. It opens with a narration by Dr. Schreber (Kiefer Sutherland) who tells of a dying race known only as The Strangers. They came down from a distant world to examine humanity. Their experiment and their subjects inhabit a city of rumbling elevated streamlined trains, dank flophouses, scurrying crowds and store windows. A city of night and shadows, but it goes far beyond "Batman" in a richness of ominous, stylized sets, streets, skylines and cityscapes. For once a movie city equals any we could picture in our minds. A true clash of futuristic style with a gothic metropolis thrown into the soup. This city can't exist in reality...unless it is not reality.
Here, the sun never rises and midnight falls every 12 hours. When the clock strikes twelve, everyone sleeps, and the Strangers emerge. They run their experiment, change things, and sink back into the depths to observe. The people have no idea. They awake and continue their lives, oblivious...until something goes wrong.
On occasion, a person awakes during this frozen time. They learn the truth that something bizarre occurs in this town, and they start asking questions. One such person is John Murdoch (Rufus Sewell) who awakens in a strange bathtub beneath a swinging ceiling lamp, to blood, fear and guilt. The telephone rings; it is Dr. Schreber (Kiefer Sutherland), gasping out two or three words at a time, as if the need to speak is all that gives him breath. He warns Murdoch to flee, and indeed three Strangers are in the corridor, coming for him. There is a dead girl at his feet. Did he commit this crime? If he is an evil man, why did he take a moment to save a dying fish?
He flees. Without any knowledge of who he is, John wanders through the town, trying to piece together his past. He remembers the woman he loves, or loved--his wife, Emma (Jennifer Connelly), who is a torch singer with sad eyes and wounded lips. And he remembers ... Shell Beach? Where was that? He sees it on a billboard and old longings stir.
On top of the billboard, he is attacked by a group Strangers. They are as confused as he is. Why isn't he sleeping like the rest? The answer shocks them all, he might be developing their power...the ability to "tune"-the art of altering matter at its basic level. This ability is revealed in its most shocking form when midnight strikes again and John witnesses the populace falling into comas. What is more shocking is how the town changes. Buildings grow and melt away. Rooms expand. A couple in the ghetto is dressed in nice clothes, the building mutates from a run down apartment block into a mansion. To finalize the picture, the couple and anyone related have their memories implanted by good doctor Shreber.
John joins with his wife for the search for the truth. But more than the Stranger's pursue him. Lest we forget that Robert was found in a room with a dead girl. Apparently this could by his sixth victim. Is he a murderer or has he been set up? The investigator on the case is new to this precinct, Inspector Bumstead (William Hurt). He replaces his predecessor, who apparently, went mad.
The Strangers have gotten nervous. To help hunt down Murdoch, one of their own, Mr. Hand (Richard O'Brien)-They all have names like that. Their leader is known as Mr. Book-has Murdoch's own memories implanted in him so he can think like the human subject.
Murdoch's problem is that he has no way of knowing if his memories are real, if his past actually happened, if the women he loves ever existed. Those who offer to help him cannot be trusted. Even his enemies may not be real. The movie teasingly explores the question that babies first ask in peek-a-boo: When I can't see you, are you there? It's through that game that we learn the difference between ourselves and others. But what if we're not there, either?
-- REVIEW --
Dark City is a glorious marriage of existential dread and slam-bang action. From the start, I got somewhat disillusioned from a couple less-than-spectacular model shots of the city. The movie seems loose in its first act. Only when certain questions are answered about setting, do we start to fully understand what is going on. Luckily, this happens almost immediately...but the story does not open itself up. In fact there were surprises I had no idea were coming until the very end.
It seems that every year, a low budget sci-fi film comes out that sweeps the critics. Somehow, these low-budget flicks aren't seen by many people. They slip into obscurity...that is, until word of mouth gets out and it becomes a cult hit. Richard O'Brien should be aware of cult hits (those who know what I am talking about can smirk an little smirk and continue).
Two years ago, it was The Arrival, a brilliant film by writer extrodinaire', David Twohy. It opened between Mission: Impossible and Twister and promptly got killed. Last year, it was Gattaca. Now, it is Dark City...too bad there is usually only one of these per year. Dark City came out too quickly. For one reason is the little boat movie that never sinks.
Dark City is one of the most original science fiction films I have ever seen. Please note I use the word "film." This is the kind of fiction we see often in novels and comics. They always have a real sense of original energy that so many movies lack. In fact, upon looking back, there were many elements in this film I that I remembered in books like Ringworld, comics like Akira, and even the Final Fantasy computer game.
However, Dark City plays above them all with a fantastic story. It never lays it out in your lap, but unlike some other films, it does make sense. So many movies are so confusing, you have to think about it for hours just put your mind at ease at the plot holes. Dark City makes you think but explains just enough that you understand what is happening.
The single best part of this film is the ending...It has one. So many high budget films of the past year have no third act (see Men in Black and The Fifth Element). The energy of the last act is enough for two films. Everything comes together with a great irony and fantastic apocalyptic ballet that made me doubt the budget of this film. Alex Proyas is a stylistic director with a great imagination. I was glued at the visuals of this movie. The set designs are unbelievable (reminiscent of Terry Gilliam's Brazil) and the music was amazingly epic.
The effects got better and better. The sequences in so many films can be switched with other films. Take the cable car chase from Metro, The Rock, and Heaven's Prisoners and juggle them around...you wouldn't tell them apart. Here, the sequences are very unique. In one amazing scene, the Stranger's are tuning the city. Buildings rise and fall. Towers assemble in seconds. Murdoch is pursued by flying strangers. After leaping across rooftops that move up and down, he finds himself trapped between two buildings which are colliding. He then runs through one, out a door, only discover the rest of the building hasn't been constructed yet. He hangs for dear life and saves himself by jumping on a chimney that rises up beside him. Just imagine it.
Dark City is a film that begs repeat viewing because of the amount of intelligence it shows. There is so much to see and think about that I walked away constantly jabbering about its good points. Dark City is a great film and I plead to everyone to consider it as an alternative to the Titanic juggernaut.
GREAT POINTS: SET DESIGN IMAGINATION STORY
PLUSES: DIRECTION SPECIAL EFFECTS
MINUSES: NONE
WORST POINTS: NONE
RATING: 5 stars out of 5.
 We have nudity and some dead bodies. The one thing that will turn off younger viewers is the same complaint about LA Confidential (complaint?!). The story is not simple and most kids won't have the foggiest what is happening. Dark City is a movie of intelligence. Unless you have some, keep away.
-- --- Chris T. Dias --- "The man who runs with scissors."
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
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Related links: index of all rec.arts.movies.reviews reviews


Hello there! I am Obi-Wan Kenobi.  Google me to read more about me Here


Assembly Line App
Input filepaths to each of these parameters. For DP-CSV pairs, separate davepool IDs and filepaths with a space.
Plate Map Path:
CSV path:
Prism Replicate Name:


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CodeFactory Data Models
The primary strength of CodeFactory is its ability to generate real time data models directly from your project/solution artifacts within the Visual Studio IDE. This ability makes it possible to do design-time automation when delivering software. In this section we will provide a brief overview of the data models that are generated dynamically by the CodeFactory platform. These data models are used throughout the automation process.
Data Models
All data models are "plain old CLR objects" or POCO's for short. Each data model is implemented as an immutable data class. This approach is used since a change to the underlying data model requires a complete regeneration of the data model from the Visual Studio environment to make sure you have the latest version of all data. For example, making a change to a C# class object would force CodeFactory to regenerate a data model of that file/class object.
Data model generation is either triggered during the execution of a new automation process, or from various CodeFactory API calls that will request new copies of data models.
Solution Explorer Models (Project System)
The following models are directly generated off the legacy and new project systems that are hosted by Visual Studio. The overview of each data model is designed to provide an overview of capabilties. The examples here are not complete and only reflect partial functionality for the purpose of explanation. Please see our help docs for the full description of each data model.
Solution
Data model that represents the loaded solution. This provides the location of the solution as well as access to the projects within the solution.
Solution Folder
Data model that represents a virtual folder that is at scope of the solution level. This provides acess to the name of the folder and the children objects which are hosted within this folder.
Project
Data model that represents a loaded project that is managed in the solution. This provides access to the project location and name, and access to all children objects hosted in the project.
Project Reference
Data model that represents a reference to a project hosted within the solution. This provides the name of the reference and the target artifact that is being referenced.
Project Folder
Project folder model represents a folder under a target project. This will contain the path and name of the folder and the list of child objects which are managed under this project folder.
Document
Document model represents a file which is hosted within a project, project folder, or solution folder. This will contain the path and the name of the file, as well as access to the full contents of the document itself.
C# Source Document
C# Source Document provides project system access, as well as full access to the C# source code which is hosted within the document itself.
C# Language Models - (Source Code)
CodeFactory has access to the C# language compiler and can dynamically generate data models that represent the C#-based source code. CodeFactory provides direct access all the way down to member and type level data. In addition, CodeFactory will provide direct access to the raw source code at the target object level. The following data models are auto-generated whenever accessing source code files or directly referenced assemblies. The overview of each data model is designed to provide an example of capabilties and does not list every single data element or function. Please see our help docs for the full description of each data model.
Source Code
The Source Code model provides access to all elements that were compiled from the source code document. This includes the following:
- Namespaces
- Using Statements
- Classes
- Interfaces
- Structures
Using Statement
Using Statement model provides information on targeted namespaces to use in the code base. This includes the following:
- Namespace
- Alias
Namespace Statement
Namespace model provides the target namespace that other C# code elements are contained in.
Attribute
Attribute provides a data model of the type of attribute and parameters which have been assigned to the attribute. This includes the following:
- Name
- Namespace
- Named Parameters
- Constructor Parameters
Attribute Parameter
Data model that provides the data for a target parameter on an attribute. This includes the following:
- Name (Optional)
- Parameter values
Attribute Parameter Value
Data model that provides a target value that is assigned to an attribute parameter.
Enum
Enum data model provides the definition of an enumeration and the target values of the enumeration.
Class
The Class data model provides data on a target class hosted in source code. This will include the following:
- Attributes
- Name
- Namespace
- Security Scope
- Keywords
- Inheritence (Base class and Interfaces)
- Members (Events, Fields, Methods, Properties)
Interface
The Interface data model provides data on the target interface definition in source code. This will include the following:
- Attributes
- Name
- Namespace
- Security Scope
- Keywords
- Inheritence (Interfaces)
- Members (Events, Methods, Properties)
Structure
The Structure data model provides data on the target structure definition in source code. This will include the following:
- Attributes
- Name
- Namespace
- Security Scope
- Keywords
- Inheritence (Interfaces)
- Members (Events, Fields, Methods, Properties)
Delegate
The Delegate model provides data on the definition of a delegate in source code. This will include the following:
- Name
- Namespace
- Parameters
- Return type
Event
The Event data model provides data on the definition of an event in source code. This will include the following:
- Attributes
- Name
- Type
- Security Scope
- Keywords
- EventHandlerMethod Definition
Field
The Field data model provides data on the definition of a field in source code. This will include the following:
- Attributes
- Name
- Type
- Security Scope
- Keywords
- Assigned value
Method
The Method data model provides data on the definition of a method in source code. This will include the following:
- Attributes
- Name
- Security Scope
- Keywords
- Parameters
- Return Type
- Method Type
Property
The Property data model provides data on the definition of a property in source code. This will include the following:
- Attributes
- Name
- Type
- Property Security
- Keywords
- Has Get
- Get Security
- Has Set
- Set Security
Parameter
The Parameter data model provides data on the definition of a parameter in a method or a delegate. This will include the following:
- Attributes
- Name
- Keywords
- Default value
Type
The Type data model provides information about a type that is used in all the above source code definitions. This will include the following:
- Name
- Namespace
- IsValueType
- IsTuple
- IsEnum
- IsArray
- IsClass
- IsInterface
- IsStructure
Overview
This link takes you back to the CodeFactory Overview


WITNESS LIST Subcommittee on Agriculture Committee March 17, 1997-2:00P SB 156 For: Gary Morton Joiner (Texas Farm Bureau), Austin Michael J Walterscheidt (TX Christmas Tree Grwrs), College Stat Registering, but not testifying: On: Carlos Alonzo Lopez (TXDOT), Austin Mark Alan Thorp (TXDOT), Austin SB 469 Registering, but not testifying: For: Bill Powers (Texas Farm Bureau), Austin


Withdrawal of Consent to Participate in Health
Information Exchange
I have previously signed a patient
consent form allowing my providers to access my electronic
health records through the Consent 2 Share system and now want
to withdraw that consent. If I sign this form as the Patient's
Legal Representative, I understand that all references in this
form to "me" or "my" refer to the Patient.
By withdrawing
my Consent, I understand that:
1) I Deny Consent for all Participants to access my
electronic health information through Consent 2 Share for
any purpose, EXCEPT in a medical emergency.
2) Health care provider
and health insurers that I am enrolled with will no longer be
able to access health information about me through Consent 2
Share, except in an emergency.
3) The Withdrawal of
Consent will not affect the exchange of my health information
while my Consent was in effect.
4) No Consent 2 Share
participating provider will deny me medical care and my
insurance eligibility will not be affected based on my
Withdrawal of Consent.
5) If I wish to reinstate
Consent, I may do so by signing and completing a new Patient
Consent form and returning it to a participating provider or
payer.
6) Withdrawing my consent
does not prevent my health care provider from submitting claims
to my health insurer for reimbursement for services rendered to
me.
7) I understand that I
will get a copy of this form after I sign it.


L'Etoile French Immersion School Parent Website
Home
PS/MS
PS
MS
GS
CP
CE1/CE2
CM1
Resources
Parent Group
Contact
Laetitia Bruneau
Lead Teacher
Email
Class phone:<PHONE_NUMBER>
Olivier Paolini
Classroom Aide
Email
Jenna Navratil
English Teacher
Email
Quitterie Cotten
Class Parent
Email
Catherine Chapin
Class Parent
Email
Links
Back to school PDF
Back to school Amazon
Cours Elementaires 1 & 2
Second & third grade
Location
Fulton Park
68 SW Miles St
Portland, OR 97219
Classes at this location:
CP, CE1, CE2 & CM1


Please contact us if you'd like a consultation for custom software development using our proven Nimbits platform. We can provide you with specialised licencing of Nimbits server beyond the GPL, Custom branches of Nimbits server displaying your company logo and styles, custom functionality, add-ons and complete software solutions for Google App Engine ™, Google apps for Domains ™, Android ™ and the Web.


This is the website for information of 2019-nCoV outbreak.
WeChat official account
Project Homepage
If you have any suggestions for this project, please feel free to submit an issue to the project homepage:
The Laiyindata Team
- Dr. ZHAO Peng: database construction, website building and maintainence, data visualization
- Dr. ZOU Yi: prediction model development
- Dr. WANG Xiaoxiang: Brand and activity planning, copywriting
- Dr. HAN Lei: International interface
Contact
- <openr(at)pzhao.net>
On the media
西交利物浦大学健康与环境科学系的研究人员用短短数天时间搭建起一个“一站式”的新冠肺炎疫情信息网站，该网站从权威渠道实时抓取信息，并为全球访客提供可便捷下载的疫情数据包。
The new data uses the combination of confirmed and suspected cases for all dates in the model, recalculating the cumulative total for all dates starting at the disease outbreak.
新数据使用模型中所有日期的确诊病例和疑似病例的组合，重新计算从疫情爆发开始以来的累计总数。
They created a website to provide scientists, journalists and other researchers open access to data from across China on novel coronavirus and daily statistical modeling. “We hope that through the integration of information, we can provide more people with data sharing and fight the epidemic together,” Zou said.
One open-access data model published on Monday by scientists at Xian Jiaotong-Liverpool University in eastern Jiangsu province also predicted a sharp decline in new confirmed infections next week before falling close to zero by February 23. However, the researchers warned there were many factors that could influence the model.
“To my knowledge, this is the only such open-access data website for novel coronavirus data that exists in the world,” said Johannes Knops, head of the Department of Health and Environmental Sciences at XJTLU.
健康与环境科学系主任Johannes Knops教授表示，“对于全球需要针对新冠疫情获取研究数据的科研工作者和新闻机构来说，该网站提供了非常有价值的资源。就我所知，这是目前世界上唯一一个关于新冠病毒疫情的开放获取数据网站。”
Acknowledgments
R ncovr package is used for data processing and visualization.
The data used on this site come from BlankerL/DXY-2019-nCoV-Crawler and JackieZheng/2019-nCoV. The credit of the translation of area/city names from Chinese into English belongs to brightgems/china_city_dataset and the R pinyin package (Zhao, 2019).
This site is built by R blogdown package with HUGO, hosted on GitHub and Netlify, and updated automatically with the support of Travis-CI.


BuzzBus Austin
You'll Never Miss A Stop
Positive Change in Market
Competition:
Smart Phones Users World Wide
Target Audience
Demo
But how does it work?
Questions?


We extend blockchain!
- orchestrate efficient mindshare
- visualize customized synergies
- facilitate 24/365 architectures
- enable end-to-end methodologies
- revolutionize cross-media functionalities
- redefine strategic e-business
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- redefine innovative partnerships
- unleash scalable synergies
- architect frictionless methodologies
- revolutionize virtual architectures


# Agenda
1. What is TensorFlow?
1. Keras vs TensorFlow
1. Best Practices
1. Periphery
1. What's next?
# Agenda
1. _What is TensorFlow?_
1. Keras vs TensorFlow
1. Best Practices
1. Periphery
1. What's next?
## What is TensorFlow
* Platform
* Ecosystem
* Foundation for differentiable programming
## Numpy++
* Gradients
* GPU, TPU
* Tensor = Multi Dimensional Array
# Agenda
1. What is TensorFlow?
1. _Keras vs TensorFlow_
1. Best Practices
1. Periphery
1. What's next?
TensorFlow Low-Level Training Loop
optimizer = tf.keras.optimizers.SGD(learning_rate=1e-3)
loss_fn = tf.keras.losses.SparseCategoricalCrossentropy()
train_dataset = tf.data.Dataset.from_tensor_slices((x_train, y_train))
train_dataset = train_dataset.shuffle(buffer_size=1024).batch(batch_size)
val_dataset = tf.data.Dataset.from_tensor_slices((x_val, y_val))
val_dataset = val_dataset.batch(batch_size)
for epoch in range(epochs):
for step, (x_batch_train, y_batch_train) in enumerate(train_dataset):
with tf.GradientTape() as tape:
y_batch_pred = model(x_batch_train, training=True)
loss_value = loss_fn(y_batch_train, y_batch_pred)
grads = tape.gradient(loss_value, model.trainable_weights)
optimizer.apply_gradients(zip(grads, model.trainable_weights))
train_acc_metric.update_state(y_batch_train, y_batch_pred)
train_acc = train_acc_metric.result()
train_acc_metric.reset_states()
for x_batch_val, y_batch_val in val_dataset:
y_batch_val_pred = model(x_batch_val, training=False)
val_acc_metric.update_state(y_batch_val, y_batch_val_pred)
val_acc = val_acc_metric.result()
val_acc_metric.reset_states()
https://www.tensorflow.org/guide/basic_training_loops
https://www.tensorflow.org/guide/keras/writing_a_training_loop_from_scratch
You can float between the extremes
class CustomModel(keras.Model):
def train_step(self, data):
x, y = data
with tf.GradientTape() as tape:
y_batch_pred = self(x_batch_train, training=True)
loss_value = self.compiled_loss(y_batch_train, y_batch_pred)
grads = tape.gradient(loss_value, self.trainable_weights)
self.optimizer.apply_gradients(zip(grads, self.trainable_weights))
self.compiled_metrics.update_state(y_batch_train, y_batch_pred)
return {m.name: m.result() for m in self.metrics}
def test_step(self, data):
...
model = CustomModel()
model.compile(
optimizer=optimizer,
loss=loss_fn,
metrics=['accuracy']
)
model.fit(x_train, y_train, epochs=epochs, batch_size=batch_size, validation_data=(x_val, y_val))
https://keras.io/guides/customizing_what_happens_in_fit/
# Agenda
1. What is TensorFlow?
1. Keras vs TensorFlow
1. _Best Practices_
1. Periphery
1. What's next?
### Verified Demo Code
https://keras.io/examples/
### Standard Models: Assorted
TensorFlow Hub is a repository of trained machine learning models
https://www.tensorflow.org/hub
https://tfhub.dev/
### Standard Models: Image
https://keras.io/api/applications/
### Standard Models: Language
https://huggingface.co/transformers/
### Standard Models: Recommendation
https://github.com/tensorflow/recommenders
### Standard Models: Tabular Data
* Fully-Connected Layers, but how many and how big?
* And what acitivation?
* There exists a two-layer neural network with ReLU activations and 2n+d weights that can represent any function on a sample of size n in d dimensions. (https://arxiv.org/abs/1611.03530)
* interatctive experiments in the browser: https://playground.tensorflow.org/
# Agenda
1. What is TensorFlow?
1. Keras vs TensorFlow
1. Best Practices
1. _Periphery_
1. What's next?
# Agenda
1. What is TensorFlow?
1. Keras vs TensorFlow
1. Best Practices
1. Periphery
1. _What's next?_
# the king is dead long live the king


Constrained Total Variation Projection with ADDM
Test for ADMM algorithm convergence on a randomized example.
addpath('../'); addpath('../toolbox/');
We want to solve a problem of the form
|min_{x in C, norm(K*x,1)<=1} -<x,w> + epsilon/2*norm(x)^2
Here K is some sort of "gradient" operator (here we use a random matrix) and C
This can be written as
|min_x F(K*x) + G(x)|
where F(u) = i_{norm(u,1)<=1} and G(x) = i_{C}(x) - f,w + epsilon/2*norm(f)^2.
Inner product shortcut.
dotp = @(u,v)sum(u(:).*v(:));
Dimension of the problem.
n = 300;
Number of computed "gradient".
p = 500;
Number of affine constraint
r = 10;
Regularization.
epsilon = .1;
Gradient operator.
K = randn(p,n);
Linear function to optimize.
w = randn(n,1);
Constraint operator.
A = randn(r,n); y = randn(r,1)*0;
Projector on A*f=y.
pA = A'*(A*A')^(-1); ProjC = @(f)f + pA*(y-A*f);
Projection on L1 ball.
ProxF = @(u,rho)perform_l1ball_projection(u,1); ProxFS = compute_dual_prox(ProxF);
Proximal operator of G.
ProxG = @(x,tau)ProjC( (x+tau*w)/(1+tau*epsilon) );
Callback to record information during the iterations.
F = @(x)-dotp(x,w) + epsilon/2*norm(x(:))^2; Constr = @(x)norm(K*x,1); options.report = @(x)struct('F', F(x), 'Constr', Constr(x));
Run the algorihtm.
options.niter = 5000; [f,R] = perform_admm(zeros(n,1), K, K', ProxFS, ProxG, options);
[********************]
Retrieve the F and constraint function values.
f = s2v(R,'F'); constr = s2v(R,'Constr');
Display.
clf; subplot(2,1,1); plot(f); title('Energy'); subplot(2,1,2); plot(log10(abs(constr-1))); title('Constraint');


| Interface | Description |
|---|---|
| AssignableExpression |
This interface represents an expression that can be assigned to.
|
| Expression |
This interface represents an expression that can be evaluated to obtain a value.
|
| Value<T> |
An expression that has been evaluated to a Java object of type T.
|
| ValueFunction |
A function that takes as input an environment (Env) and a list of values
(
List<Value> ) and returns a Value. |
| Class | Description |
|---|---|
| Expressions |
Various implementations of the Expression interface, which is
used for specifying an "action" or "result" in TokensRegex extraction rules.
|
| Expressions.AndExpression | |
| Expressions.AssignableFunctionCallExpression |
A function call that can be assigned a value.
|
| Expressions.CaseExpression | |
| Expressions.CompositeValue |
A composite value with field names and values for each field
|
| Expressions.ConditionalExpression | |
| Expressions.FieldExpression | |
| Expressions.FunctionCallExpression | |
| Expressions.IfExpression | |
| Expressions.IndexedExpression | |
| Expressions.ListExpression | |
| Expressions.MethodCallExpression | |
| Expressions.NotExpression | |
| Expressions.OrExpression | |
| Expressions.PrimitiveValue<T> |
Primitive value that is directly represented by a Java object of type T
|
| Expressions.RegexMatchResultVarExpression | |
| Expressions.RegexMatchVarExpression | |
| Expressions.RegexValue |
A string that represents a regular expression
|
| Expressions.SimpleCachedExpression<T> |
A simple implementation of an expression that is represented by a java object of type T
and which also has a cached Value stored with it
|
| Expressions.SimpleExpression<T> |
A simple implementation of an expression that is represented by a java object of type T
|
| Expressions.SimpleValue<T> |
Simple implementation of Value backed by a java object of type T
|
| Expressions.TypedExpression |
An expression with a typename and tags.
|
| Expressions.VarAssignmentExpression |
A variable assignment with the name of the variable, and the expression to assign to that variable
|
| Expressions.VarExpression |
A variable, which can be assigned any expression.
|
| Expressions.WrappedExpression |
An expression that is a wrapper around another expression.
|
| Tags |
Tags that can be added to values or annotations
|
| Tags.TagsAnnotation | |
| ValueFunctions |
ValueFunctions supported by tokensregex.
|
| ValueFunctions.BooleanFunction | |
| ValueFunctions.ComparableComparator<T extends java.lang.Comparable<T>> | |
| ValueFunctions.CompareFunction<T> | |
| ValueFunctions.NamedValueFunction | |
| ValueFunctions.NumericComparator | |
| ValueFunctions.NumericFunction | |
| ValueFunctions.ParamInfo | |
| ValueFunctions.StringFunction | |
| ValueFunctions.TypeCheckedFunction |
| Enum | Description |
|---|---|
| ValueFunctions.CompareType |
This package contains various types and interfaces used when parsing TokensRegex patterns and rules.


Stormers set to lose yet another star youngster
Cape Town - The Stormers look set to lose the services of yet another star youngster.
Rugby specialist website Rugby365 reported that utility forward Cobus Wiese is in advanced negotiations with English Premiership club Saracens.
The report adds that the 22-year-old could sign a five-year deal which would pave the way for possible inclusion in the England national team in future.
The former Junior Springbok, who can play lock and flank, has been on the Stormers' books since 2017.
The rumoured deal comes in the midst of Saracens facing heavy sanctions for breaking the Premiership's salary cap.
The London-based club are, however, set to appeal the 35-point deduction and £5 million fine imposed on them.
The cash-strapped Stormers are set to lose several players, with lock Eben Etzebeth (Toulon, France), centre Dan Kriel (Lions), prop Corne Fourie (Gloucester, England), flank Sikhumbuzo Notshe (Sharks), prop Michael Kumbirai (Sharks), flank Chris Massyn (Cheetahs), loose forward Kobus van Dyk (Eagles, Japan), fullback Craig Barry (Cheetahs) and centre EW Viljoen (Leicester Tigers, England) all leaving.
Springbok centre Damian de Allende is also off to Japan to play for the Panasonic Wild Knights and will only return in May.
- Compiled by Sport24 staff


Hmmmm …
Looks like something is not working.
- If you did not use the precompiled .jar file but built Ict yourself, did you already run
npm install
in the web/ directory? - Check your browser console. Are there any error messages?
- Have you tried using a different browser? Preferably something from this millennium?
- Just to be clear… Your web browser has JavaScript enabled, right?
- Check your Ict console. Are there any error messages? Have you tried restarting Ict?
- Ask for help in #omega-ict on IOTA Discord.