LINCOLN A film review by Ken Johnson Copyright 1993 Ken Johnson
195 min., not rated, Documentary, 1992, Made-for-television Director: Peter W. Kunhardt Voices of: James Earl Jones, Jason Robards, Glenn Close, Dabney Coleman, Stacy Keach, Ossie Davis, Richard Dreyfus, Rod Steiger, Richard Widmark, Arnold Schwarzenegger, E.G. Marshall, Richard Thomas, Fred Gwynne, Eli Wallach, Oprah Winfrey, Burgess Meredith, Ned Beatty, Barnard Hughes, Cliff Robertson, Maureen Stapleton, Frank Langella, Henry Morgan, Keith Carradine, Blythe Danner, Robert Vaughn, Philip Bosco, Jim Dale, Jill Clayburgh, Robby Benson, Gordon Parks, John Shea, Laurence Luckinbill, Stockard Channing
This is a documentary on one of America's greatest presidents, Abraham Lincoln (voice of Jason Robards). The documentary is narrated by James Earl Jones and covers Lincoln from his start in politics to his assassination by John Wilkes Booth (voice of Frank Langella).
LINCOLN was made much in the same way that the PBS film THE CIVIL WAR was made, using pictures of Lincoln and the other people featured in the film. I never saw the PBS film THE CIVIL WAR, so I can't say whether this one came out better. I think however, that LINCOLN was very well done, and worth seeing if you get the chance. If you missed LINCOLN when it aired on television, it is also available on video cassette, which runs for 45 minutes longer than the film did on television. On a scale of zero to five, I give LINCOLN a four. LINCOLN contains nothing that I think anyone would find objectionable.
The voice talent for LINCOLN, I felt, for the most part is very good. I think that fact that the film had experienced actors for the voices helped the film considerably. Instead of one monotone voice throughout the film, there were several different voices, which had some emotion to them. I think that it is good that the film had more than just a narrator, because hearing the same voice for the entire length of the film would get rather boring. I feel that only one of the voices was miscast, that was Arnold Schwarzenegger. He is great in his action films where he doesn't have much of a speaking role, and he was even able to pull off KINDERGARTEN COP. As just a voice talent, however, I don't think that his voice makes it. He doesn't have good diction, and I feel that voice could have been better cast. [Moderator's note: The character he spoke was Bavarian-born, and probably had the same accent.]
I liked how there were color shots of the buildings in the present day mixed in with the portraits from the time. That technique added some variety to the film and kept all the old photographs from wearing on the viewer. The photographs were well picked and were well placed in the film so that they fit in.
The only other main problem that I had with the film is that I think that it could have run for television time of two and a half to three hours, instead of the four that it ran. Even though the four hours were well done, the film after a while seemed to be going on forever.
-------- Ken Johnson<EMAIL_ADDRESS>.
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
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Related links: index of all rec.arts.movies.reviews reviews


A transformation that parses Example
protos into a dict
of tensors.
tf.compat.v1.data.experimental.parse_example_dataset
tf.compat.v2.data.experimental.parse_example_dataset
tf.data.experimental.parse_example_dataset( features, num_parallel_calls=1 )
Parses a number of serialized Example
protos given in serialized
. We refer
to serialized
as a batch with batch_size
many entries of individual
Example
protos.
This op parses serialized examples into a dictionary mapping keys to Tensor
and SparseTensor
objects. features
is a dict from keys to VarLenFeature
,
SparseFeature
, and FixedLenFeature
objects. Each VarLenFeature
and SparseFeature
is mapped to a SparseTensor
, and each
FixedLenFeature
is mapped to a Tensor
. See tf.io.parse_example
for more
details about feature dictionaries.
features
: A dict
mapping feature keys to FixedLenFeature
,
VarLenFeature
, and SparseFeature
values.num_parallel_calls
: (Optional.) A tf.int32
scalar tf.Tensor
,
representing the number of parsing processes to call in parallel.A dataset transformation function, which can be passed to
tf.data.Dataset.apply
.
ValueError
: if features argument is None.


meme2images [options] <motif file> <output directory>
Generates EPS or PNG logo images from a <motif file> MEME Motif Format.
The name of a file in MEME Motif Format.
The name of a directory to receive the output.
Writes logo images to the specified <output directory>.
| Option | Parameter | Description | Default Behavior |
|---|---|---|---|
| General Options | |||
| -motif | ID | Output the logo for the motif with the given ID. This option can be repeated to selectively output multiple motif logos. | Logos for all motifs are output. |
| -eps | Output logos in EPS format. | If neither -eps or -png is specified then output images in both EPS and PNG format. | |
| -png | Output logos in PNG format. | If neither -eps or -png is specified then output images in both EPS and PNG format. | |
| -rc | Output reverse complemented logos in addition to the normal logos. | Only output normal logos. |


The first step is to specify the interested variants. ILVDB provides three ways to do so: by region, by variant_id, or by specific genes.
Region: Select Region in the Select-input-type selectfield, specify chromesome and start/end postion of the region, all variants in the region will be collected for further analysis. The reference genome is mm9.
Varient_id: Select Varient_id in the Select-input-type selectfield, type interested ilvdb-varient_ids to specify the variants. The GUI also takes a series of ids seperated by comma.
Gene: Select Gene in the Select-input-type selectfield, type interested Gene Ensembl ID to specify the gene, all the variants being annotated will be collected . The GUI also takes a series of Ensembl Ids seperated by comma. The Gene ID Converter link is helpful to convert your gene index to Ensembl Id.
The second step is to specify interested view. In the Select-view-type selectfield, the user can query about genotype, diplotype and the genotype and diplotype of the simulated F1 crosses. Each of these view types includes different output collums, which can be further arranged in the Select-included-fields multiselectfiled.
For genotype and diplotype tables,the Inbred-Strains multiselectfiled is used to specify interested strains. All 60 CC strains and 8 founders is available.
For genotype cross and diplotype cross tables, the user need to specify the two founder strains to simulate F1 crosses.
Paste the query and search the database.


Apply Univariate Long Memory Models, Apply Multivariate Short Memory Models To Hydrological Dataset, Estimate Intensity Duration Frequency curve to rainfall series.
| Version: | 2.7 |
| Imports: | stats, graphics, grDevices, QRM, fracdiff, MASS |
| Published: | 2018-01-16 |
| Author: | Corrado Tallerini [aut, cre], Salvatore Grimaldi [aut] |
| Maintainer: | Corrado Tallerini <corrado.tallerini at vodafone.it> |
| BugReports: | http://www.corradotallerini.altervista.org/contatti.html |
| License: | GPL-2 |
| URL: | http://www.corradotallerini.altervista.org/lpm.html |
| NeedsCompilation: | no |
| CRAN checks: | LPM results |
| Reference manual: | LPM.pdf |
| Package source: | LPM_2.7.tar.gz |
| Windows binaries: | r-devel: LPM_2.7.zip, r-release: LPM_2.7.zip, r-oldrel: LPM_2.7.zip |
| OS X binaries: | r-release: LPM_2.7.tgz, r-oldrel: LPM_2.7.tgz |
| Old sources: | LPM archive |
Please use the canonical form https://CRAN.R-project.org/package=LPM to link to this page.


Project
Task Name
Due
17014_COL_BC_Hutto
Design First Draft
Due
17014_COL_BC_Hutto
Design First Draft
Due
17014_COL_BC_Hutto
Design First Draft
Due
Pause
SCORE
0
Restart


|
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struct Dimensions | asv_position |
| |
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struct Dimensions | asv_attitude |
| |
|
struct Dimensions | way_point |
| |
|
double | kp_heading |
| |
|
double | ki_heading |
| |
|
double | kd_heading |
| |
|
double | kp_position |
| |
|
double | ki_position |
| |
|
double | kd_position |
| |
|
double | thrust_fore_ps |
| |
|
double | thrust_fore_sb |
| |
|
double | thrust_aft_ps |
| |
|
double | thrust_aft_sb |
| |
|
double | error_heading |
| |
|
double | error_int_heading |
| |
|
double | error_diff_heading |
| |
|
double | error_position |
| |
|
double | error_int_position |
| |
|
double | error_diff_position |
| |
The documentation for this struct was generated from the following file:


{% extends 'default.html' %} {% block content %}
We are the Stockholm chapter of PyLadies, an international mentorship group for women who love Python. Our focus is to help more women to become active participants and leaders in the tech community in Stockholm. We organize study groups, workshops, mini-conferences or just get together to code in Python. Our mission is to create a diverse, creative and friendly community for developers of all levels.
We meet to learn more about Python and software development every other Saturday. Everyone is welcome to join, the only requirement is that you are interested in programming. Every once in a while we also meet for an evening of talks and just trying to be social ;-)
Sign up for the upcoming events at http://www.meetup.com/PyLadiesStockholm/
We also organize workshops in collaboration with Thursday Code Pub.
Many companies in Stockholm show their support and help us organize our meetups. If you are looking for new Python opportunities don't forget to check out these guys: Spotify, Campanja, Netlight, ShapeUpClub and Tritech.


{% load static %} Pick a dish Choose your meal from menu and add to cart them! Make a payment Make a payment securely! Recieve your food!  Special offers {% for rs in specialOffersFastFood %} {{rs.title}} Get free from orders higher that $40! Only on Tuesdays Order higher that $40 Unless one burger or pizza ordered {% endfor %} {% for rs in specialOffersChicken %} Free {{rs.title}} Get free Chicken to enjoy your Main meal! Only on Weekends Order higher that $50 {% endfor %} {% for rs in specialOffersDessert %} Free {{rs.title}} Get free after your dinner! Only on Tuesdays Order higher that $60 Included dessert {% endfor %} Our menu {% for cat in category %} {% if cat.level == 0 %} {{cat.title}} {% endif %} {% endfor %}
Choose your meal from menu and add to cart them!
Make a payment securely!


What hath wrought Sigurd
Of any wrong-doing
That the life of the famed one
Thou art fain of taking?
To me has Sigurd
Sworn many oaths,
Sworn many oaths,
And sworn them lying,
And he bewrayed me
When it behoved him
Of all folk to his troth
To be the most trusty.
Thee hath Brynhild
Unto all bale,
And all hate whetted,
And a work of sorrow;
For she grudges to Gudrun
All goodly life;
And to thee the bliss
Of her very body.
Some the wolf roasted,
Some minced the worm,
Some unto Guttorm
Gave the wolf-meat,
Or ever they might
In their lust for murder
On the high king
Lay deadly hand.
Sigurd lay slain
On the south of the Rhine.
High from the fair tree
Croaked forth the raven,
"Ah, yet shall Atli
On you redden edges,
The old oaths shall weigh
On your souls, O warriors."

One word Hogni
Had for an answer:
"Our swords have smitten
Sigurd asunder,
And the grey horse hangs drooping
O'er his lord lying dead."
Then quoth Brynhild,
Budli's daughter;
"Good weal shall ye have
Of weapons and lands,
That Sigurd alone
Would surely have ruled
If he had lived
But a little longer.
"Ah, nothing seemly
For Sigurd to rule
Giuki's house
And the folk of the Goths,
When of him five sons
For the slaying of men,
Eager for battle
Should have been begotten!"
Then laughed Brynhild —
Loud rang the whole house —
One laugh only
From out her heart:
"Long shall your bliss be
Of lands and people,
Whereas the famed lord
You have felled to the earth!"
Then spake Gudrun,
Giuki's daughter;
"Much thou speakest,
Many things fearful,
All grame be on Gunnar
The bane of Sigurd!

Forth sped the even
Enow there was drunken,
Full enow was there
Of all soft speech;
And all men got sleep
When to bed they were gotten;
Gunnar only lay waking
Long after all men.
His feet fell he to moving,
Fell to speak to himself
The waster of men,
Still turned in his mind
What on the bough
Those twain would be saying,
The raven and erne,
As they rode their ways homeward.
But Brynhild awoke,
Budli's daughter,
May of the shield-folk,
A little ere morning:
"Thrust ye on, hold ye back,
— Now all harm is wrought, —
To tell of my sorrow,
Or to let all slip by me?"
All kept silence
After her speaking,
None might know
That woman's mind,
Or why she must weep
To tell of the work
That laughing once
Of men she prayed.
In dreams, O Gunnar,
Grim things fell on me;
Dead-cold the hall was,
And my bed was a-cold,
And thou, lord, wert riding
Reft of all bliss,
Laden with fetters
'Mid the host of thy foemen.
So now all ye,
O House of the Niblungs,
Shall be brought to naught,
O ye oath-breakers!
Think'st thou not, Gunnar,
How that betid,
When ye let the blood run
Both in one footstep?
With ill reward
Hast thou rewarded
His heart so fain
To be the foremost!
As well was seen
When he rode his ways,
That king of all worth,
Unto my wooing;
How the host-destroyer
Held to the vows
Sworn beforetime,
Sworn to the young king.
For his wounding-wand
All wrought with gold,
The king beloved
Laid between us;
Without were its edges
Wrought with fire,
But with venom-drops
Deep dyed within.
Thus this song telleth of the death of Sigurd, and setteth forth how that they slew him without doors; but some say that they slew him within doors, sleeping in his bed. But the Dutch Folk say that they slew him out in the wood: and so sayeth the ancient song of Gudrun, that Sigurd and the sons of Giuki were riding to the Thing whenas he was slain. But all with one accord say that they bewrayed him in their troth with him, and fell on him as he lay unarrayed and unawares.


Start Guessing!
Hint
Enter
Del
Clear
{% load static %}


{% extends 'task/main.html' %} {% block content %} {% if user.is_authenticated %}
{% else %} Go Back {% endif %}This App is Built Under Django a Python Framework for Web Development and the Entrire Backend is Python Language and the Frontend is HTML CSS and Uses a News API for the Health News.
Source Code


|
fop 0.94 | ||||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | ||||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Object org.apache.fop.layoutmgr.table.GridUnit
This class represents one grid unit inside a table.
| Field Summary | |
static int |
FIRST_IN_PART
Indicates that the grid unit is in the first row of the table part (header, footer, body). |
static int |
FIRST_IN_TABLE
Indicates that the grid unit is in the first row of the table. |
static int |
IN_FIRST_COLUMN
Indicates that the grid unit is in the first column. |
static int |
IN_LAST_COLUMN
Indicates that the grid unit is in the last column. |
static int |
KEEP_WITH_NEXT_PENDING
Indicates that the primary grid unit has a pending keep-with-next. |
static int |
KEEP_WITH_PREVIOUS_PENDING
Indicates that the primary grid unit has a pending keep-with-previous. |
static int |
LAST_IN_PART
Indicates that the grid unit is in the last row of the table part (header, footer, body). |
static int |
LAST_IN_TABLE
Indicates that the grid unit is in the last row of the table. |
| Constructor Summary | |
protected |
GridUnit(PrimaryGridUnit primary,
TableCell cell,
TableColumn column,
int startCol,
int colSpanIndex)
Creates a new grid unit. |
|
GridUnit(PrimaryGridUnit primary,
TableColumn column,
int startCol,
int colSpanIndex)
Creates a new grid unit. |
|
GridUnit(TableCell cell,
TableColumn column,
int startCol,
int colSpanIndex)
Creates a new grid unit. |
| Method Summary | |
void |
assignBorderForSeparateBorderModel()
Assigns the borders from the given cell to this cell info. |
GridUnit |
createNextRowSpanningGridUnit()
|
TableBody |
getBody()
|
CommonBorderPaddingBackground |
getBorders()
|
TableCell |
getCell()
|
int |
getColSpanIndex()
|
TableColumn |
getColumn()
|
boolean |
getFlag(int which)
Returns a flag for this GridUnit. |
CommonBorderPaddingBackground.BorderInfo |
getOriginalBorderInfoForCell(int side)
Returns a BorderInfo instance for a side of the currently applicable cell before border resolution (i.e. the value from the FO). |
PrimaryGridUnit |
getPrimary()
Returns the before-start grid unit of the cell containing this grid unit. |
TableRow |
getRow()
|
int |
getRowSpanIndex()
|
int |
getStartCol()
|
Table |
getTable()
|
boolean |
hasBorders()
|
boolean |
isEmpty()
Does this grid unit belong to an empty cell? |
boolean |
isLastGridUnitColSpan()
|
boolean |
isLastGridUnitRowSpan()
|
boolean |
isPrimary()
Is this grid unit the before-start grid unit of the cell? |
void |
resolveBorder(GridUnit other,
int side)
Resolve collapsing borders for the given cell. |
void |
resolveBorder(GridUnit other,
int side,
int resFlags)
Resolve collapsing borders for the given cell. |
void |
setFlag(int which,
boolean value)
Sets a flag on a GridUnit. |
void |
setRow(TableRow row)
Sets the table-row FO, if applicable. |
java.lang.String |
toString()
|
| Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait |
| Field Detail |
public static final int IN_FIRST_COLUMN
public static final int IN_LAST_COLUMN
public static final int FIRST_IN_TABLE
public static final int FIRST_IN_PART
public static final int LAST_IN_PART
public static final int LAST_IN_TABLE
public static final int KEEP_WITH_NEXT_PENDING
public static final int KEEP_WITH_PREVIOUS_PENDING
| Constructor Detail |
public GridUnit(TableCell cell, TableColumn column, int startCol, int colSpanIndex)
cell
- table cell which occupies this grid unitcolumn
- table column this grid unit belongs tostartCol
- index of the column this grid unit belongs tocolSpanIndex
- index of this grid unit in the span, in column directionpublic GridUnit(PrimaryGridUnit primary, TableColumn column, int startCol, int colSpanIndex)
primary
- the before-start grid unit of the cell containing this grid unitcolumn
- table column this grid unit belongs tostartCol
- index of the column this grid unit belongs tocolSpanIndex
- index of this grid unit in the span, in column directionprotected GridUnit(PrimaryGridUnit primary, TableCell cell, TableColumn column, int startCol, int colSpanIndex)
primary
- the before-start grid unit of the cell containing this grid unitcell
- table cell which occupies this grid unitcolumn
- table column this grid unit belongs tostartCol
- index of the column this grid unit belongs tocolSpanIndex
- index of this grid unit in the span, in column direction| Method Detail |
public TableCell getCell()
public TableColumn getColumn()
public TableRow getRow()
public void setRow(TableRow row)
row
- the table-row FOpublic TableBody getBody()
public Table getTable()
public PrimaryGridUnit getPrimary()
public boolean isPrimary()
public boolean isEmpty()
public int getStartCol()
public boolean isLastGridUnitColSpan()
public boolean isLastGridUnitRowSpan()
public int getRowSpanIndex()
public int getColSpanIndex()
public CommonBorderPaddingBackground.BorderInfo getOriginalBorderInfoForCell(int side)
side
- for which side to return the BorderInfo
public CommonBorderPaddingBackground getBorders()
public boolean hasBorders()
public void assignBorderForSeparateBorderModel()
public void resolveBorder(GridUnit other, int side)
other
- neighbouring grid unit if anyside
- the side to resolve (one of CommonBorderPaddingBackground.BEFORE|AFTER|START|END)public void resolveBorder(GridUnit other, int side, int resFlags)
other
- neighbouring grid unit if anyside
- the side to resolve (one of CommonBorderPaddingBackground.BEFORE|AFTER|START|END)resFlags
- flags for the border resolutionpublic boolean getFlag(int which)
which
- the requested flag
public void setFlag(int which, boolean value)
which
- the flag to setvalue
- the new value for the flagpublic GridUnit createNextRowSpanningGridUnit()
public java.lang.String toString()
Object.toString()
|
fop 0.94 | ||||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | ||||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


TOQEN is currently in a proof-of-concept phase and has to be treated accordingly. Consider it a testing platform (testnet) for now and do not use it for anything serious. Do not give it any value, as it is not yet secured against attacks.
These are all IAM accounts we could find on your ql-node. Make sure they are not used for anything else if you intend to use them as toqen accounts.
MicroHash is a off-chain settlement layer for TOQEN enabled by the first Qubic Lite smart contract. Create a direct MicroHash channel for almost instant micro-payment flows.
MicroHash is an off-chain settlement layer for TOQEN enabled by the first Qubic Lite smart contract. It allows for almost instant micro-payment flows. By settling the off-chain transactions, the channel is destroyed and the end balances are released to both participants through an on-chain settlement transaction on the TOQEN Network .
| epoch | state | payer | payee | microhash | claimed | actions |
|---|
Your account index is a non-negative integer acting as one-time address that can receive funds from up to five inputs and spend them once by sending up to five outputs. Toqens are sent from indexes to indexes of the involved accounts. You can find all your indexes with available funds on the toqen explorer.
MicroHash is a off-chain settlement layer for TOQEN enabled by the first Qubic Lite smart contract. It allows for almost instant micro-payment flows.
You can find your inputs on the toqen explorer.
| epoch | value |
|---|
total balance:
| receiver account | type | value |
|---|
total sent:


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--- layout: default ---
Assistant Professor
Brown University
Department of Biostatistics
Center for Statistical Sciences
Brown Institute for Brain Science
Computation in Brain and Mind Initiative


Scale by in
Rewrite of Shawn Allen's cartogram demo but with Massachusetts towns, currently very slow.


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Places to visit
These are the favorite tourist attractions:
Museums
Here are some of our favorite museums:
- Portland Art's Museum
- Portland Children Museum
- History
Favorite hiking trails
These are our three favorite places:
- Marquam
- Tyron Creek
- Terwilliger
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IP address: <IP_ADDRESS>
Sent: 2020-05-26 12:00
Message:
I want to be your friend! PLZ!!!!
IP address: <IP_ADDRESS>
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Add me if you want, or don't. See if I care. I'm just a dog.


Using An "Impervious Permit" Allowance System To Reduce Impervious Surface Coverage for Environmental Sustainability
EPA Grant Number: SU831880Title: Using An "Impervious Permit" Allowance System To Reduce Impervious Surface Coverage for Environmental Sustainability
Investigators: Welty, Claire , Hanson, Royce
Current Investigators: Welty, Claire , Fraley, Lisa , Hanlon, Bernadette , Hanson, Royce , Kolb, Nathan , McGuire, Michael P. , Sharkey, Steve , Vicino, Thomas J.
Institution: University of Maryland - Baltimore County
EPA Project Officer: Nolt-Helms, Cynthia
Phase: I
Project Period: September 30, 2004 through May 30, 2005
Project Amount: $8,269
RFA: P3 Awards: A National Student Design Competition for Sustainability Focusing on People, Prosperity and the Planet (2004) RFA Text | Recipients Lists
Research Category: P3 Challenge Area - Built Environment , Pollution Prevention/Sustainable Development , P3 Awards , Sustainability
Description:
Current development dynamics and population projections suggest that further decentralized urbanization is likely to proceed into the near future, resulting in the continuing degradation of the physical environment. It is therefore necessary to introduce governmental policies to reduce the negative environmental impacts of the built environment. This design outlines an innovative policy technique to address the problem of reducing the impact of impervious surface coverage on water quality. The technical challenge is to encourage developers to limit impervious surface coverage by creating vegetated space, and reduce urban runoff by implementing innovative storm water management practices.
Objective:
The proposed design is the application of a permit allowance system to reduce impervious surface coverage (ISC). The design would establish a "cap" on impervious surfaces on a per lot basis in watersheds of specific size. Similar to the Acid Rain "cap and trade" program, this policy design allows developers to trade "impervious surface credits" and offers flexibility in how developers choose to reduce impervious surface coverage. This innovative design applies market-based approaches to reduce pollution, making pervious surface a valued good. The product of this design will be a strategic manual for policymakers and practitioners interested in implementing the policy program.
The overall goal of the design is to enhance the environmental, economic and social benefits of increased vegetated spaces and reduced urban runoff. This program maximizes important aspects of sustainability, creating healthy, livable communities. Using GIS technology and a well-developed database, the program design will accurately track the amount of impervious and pervious surface coverage. A cost-benefit analysis will be conducted to evaluate the program.
Bringing experts together in a university-sponsored symposium, this design will allow scientists, practitioners and planners to critically evaluate the students' design. This will provide students a unique opportunity to gain feedback and critical evaluation from experts in the field. Graduate students will also gain from the experience of presenting at several university seminar lecture series and capstone classes in public policy, geography and environmental systems, and multidisciplinary programs.


Boundaries is a lightweight framework for creating source-level boundaries in swift. It’s based on the premise that for enforcing source level boundaries you need to manage the object graph construction based on boundary crossing rules. This framework is useful whether your app is modularized or whether you have all the code under a single module. This is because packages are only a mechanism for deploying and reusing code, but you still need to manage the source code dependencies and handling the object graph construction, for having real boundaries in your code.
The framework is designed to be as unintrusive as possible, it won’t pollute your classes with annotations, singletons or special semantics. This is not a dependency injection framework, but rather a framework helping you shape your own object graph construction, based on the layers of your architectural pattern, the components of your architecture etc.
The main propose of the framework is to enfoce boundaries and with them your chosen architecture. This implies having a framework that doesn’t imply too much compromise on your code. It doesn’t enforces any particular architectural pattern, but rather gives you a tool for helping on the implementation by enforcing your boundaries directly on code.
There’s an example app that was easily refactored with this framework here. You will notice that the number of imports of the framework is reduced to the files definining the boundaries. The 99% of the code remained untouched. Look in the reference for a more detailed documentation.
Instalation
The framework has support for Carthage and the Swift Package Manager. It supports Mac OS, iOS, iPad OS and Watch OS. It’s built on Swift version 5.2.
Carthage
For adding Boundaries as a dependency in your project, using Carthage, add the github URL in your Cartfile
using semantic versioning, pointing to the latest version available.
github "frankvalbuena/Boundaries" ~> 1.0
Swift Package Manager
For adding Boundaries as a dependency in your project, using the Swift Package Manager, add the github URL in your dependencies, targeting the latest version available. Or use Xcode option file > Swift Packages > Add Dependency
, add the github URL and that’s it.
dependencies: [
.package(url: "frankvalbuena/Boundaries", .upToNextMajor(from: "1.0.0"))
]
Defining a Boundary
A boundary can be seen as a factory for objects. For declaring a boundary you create a subclass of Boundary
. Like this:
import Boundaries
// A boundary for the Model Layer. Every boundary must be a class inheraing from Boundary
final class ModelBoundary: Boundary {
// By declaring this as a computed property a new object will be created every time this object is requested.
var profileValidator: ProfileValidator {
return ProfileValidator()
}
// Lazy property, the same instance will be used and the creation will be on-demand.
// Notice we can cache dependencies without creating global variables like singletons.
lazy var signInTask: SignInTaskProtocol = {
return SignInTaskImplementation()
}()
// Stored property, also a single instance will be used, but this must be initialized on the init.
// When you don't use protocols for declaring your dependencies, that's what is called a Partial Boundary In clean architecture.
let profileSession: ProfileSessionFacade
// This init is required by the superclass. `Internal` has not public initializer hence
// you cannot directly instantiate a Boundary. You need a ContainerBoundary for initializing this.
required override init(internal: Internal) {
self.profileSession = ProfileSessionFacade()
super.init(internal: internal)
}
}
In the example above ModelBoundary
is declared as a subclass of Boundary. You can declare properties for each object constructed inside the boundary. Use a stored property if you want to have a single instance or a computed property if you want to create a new one on demand. Also notice that the required initializer prevents you from directly instantiating your boundary. This decision was made on purpose, as a way to prevent your boundary to become singletons, which is an antipattern widely used by dependency containers. Instead a boundary must be always initialized by a Container which is meant to build the Boundary Graph.
Dependencies
Each boundary must create objects related to a single area of concern, like a Layer, a Feature, etc. You define the purpose of your boundary. Boundaries collaborate between them, in the same way layers or components are structured to form a collaborative system together.
On the previous example, let’s create a boundary for a Presenter Layer, which depends on ModelBoundary
. This is done in 2 steps:
Input Ports:
On the Dependee Boundary, in this example the ModelBoundary
, declare the properties meant to be accessible from outside of the Boundary with the generic type InputPort
.
import Boundaries
final class ModelBoundary: Boundary {
// Let's say PaymentsFacade is a class that exists on the Model Layer.
var paymentsFacade: InputPort<PaymentsFacade> {
// makeInputPort is a factory method inherited from `Boundary`
return makeInputPort(implementation: PaymentsFacade())
}
}
Dependencies API
On the Dependent Boundary, in this example PresenterBoundary
, link the Dependee (ModelBoundary
) using the dependencies API
typealias Dependencies = BoundaryList.Add<THE_DEPENDEE_BOUNDARY_HERE>
This makes all the input ports of ModelBoundary
accessible for PresenterBoundary
, via the dependencies property inherited from Boundary
. See the example below:
import Boundaries
final class PresenterBoundary: Boundary {
// Declaring the typealias will let Boundary see the input ports of ModelBoundary. You can add up to
// 20 dependencies on BoundaryList which is a generic type of the Boundaries framework
typealias Dependencies = BoundaryList.Add<ModelBoundary>
var paymentsPresenter: InputPort<PaymentsPresenter> {
// The dependencies property is inherited from Boundary and uses dynamic look-up
// for accessing all the input ports of ModelBoundary, this also gives you autocomplete support.
let paymentsFacade = self.dependencies.paymentFacade
return makeInputPort(implementation: PaymentsPresenter(paymentsFacade: paymentsFacade))
}
}
Notice that only by declaring the typealias you can access the input ports of ModelBoundary. You don’t have to create an initializer for receving those input ports, that’s because that’s done automatically by the base class Boundary. You only must care about constructing the objects of your boundary and declaring the boundary dependencies. The construction of the boundary is deferred to be done on a Container boundary.
Plugins
Another way to declare dependencies is by using dependency inversion. So instead of depending on a existing boundary, the boundary itself can define an abstract boundary that can be implemented by other boundary. The benefit of doing this of course is that you avoid depending on especific boundaries, making your boundaries independently deployable. This is usually called Plugin Architecture.
On the previous example let’s create a plugin for handling the persistence and webservices for the ModelBoundary
. You can do this in 2 steps:
Plugin Boundaries
In order to declaring a plugin inside your boundary, you define a struct conforming to the protocol PluginBoundary, define all the input ports you need, and then add the plugin as a dependency in the same way we did with PresenterBoundary before.
final class ModelBoundary: Boundary {
// Use structs to declare your plugins inheriting from `PluginBoundary`.
struct Plugin: PluginBoundary {
// As any other boundary, you must declare your properties as InputPorts to make it accessible
// By the dependent boundaries.
var paymentPersistence: InputPort<PaymentPersistence>
var paymentService: InputPort<PaymentService>
}
// Add the plugin to the dependencies. Plugin is a boundary then you follow the same approach.
typealias Dependencies = BoundaryList.Add<Plugin>
var paymentsFacade: InputPort<PaymentsFacade> {
// You can now use the input ports of the plugin to create your objects.
// ModelBoundary doesn't care who will implement those dependencies, it only cares about
// declaring them and using them.
let facade = PaymentsFacade(
persistence: self.dependencies.paymentPersistence,
service: self.dependencies.paymentService
)
return makeInputPort(implementation: facade)
}
}
Plugin Adapters
Now that you have declared your plugin, you must implement it by an Adapter Boundary. Let’s create a services layer acting as an adapter for the ModelBoundary’s Plugin. In order to do this, you define a new boundary inheriting from AdapterBoundary
like this:
final class Service: AdapterBoundary {
// This part of the AdapterBoundary, you must define a typealias of the plugin you are implementing.
typealias PluginAdaptee = ModelBoundary.Plugin
// In order to implement this you may need to depend on other boundary.
typealias Dependencies = BoundaryList.Add<AFrameworkRelatedBoundary>
// This function is part of AdapterBoundary. This is the place where you create the plugin implementation.
func makePlugin() -> ModelBoundary.Plugin {
// Create the input ports of the plugins, providing the implementation.
return ModelBoundary.Plugin(
paymentPersistence: makeInputPort(implementation: CoreDataPaymentPersistence()),
paymentService: makeInputPort(implementation: PlaymentWebService())
)
}
}
You could create different adapters for a given plugin, that’s the advantage of this plugin approach, making easy to swap implementations. This is useful when you want to decouple frameworks from the business rules. In order to connect the adapter to the plugin, you need to create a Container Boundary.
Container Boundary
As you have seen boundaries segregate the object graph construction to multiple boundaries, each one constructing objects from a single area of concern, and they comunicate via the dependencies API and the InputPorts. Boundaries can be composed also with Containers. A container boundary can have subboundaries, and it can construct its subboundaries resolving its dependencies. This is very useful for creating feature boundaries. A feature boundary can be a container which has subboundaries for each layer.
Continuing with the previous example let’s create a boundary for the Payments feature. For this you do 2 things. First define a new boundary inheriting from ContainerBoundary
and then define your subboundaries using the Subbondaries API. Finally you resolve each subboundary using the Resolver API. Like this:
// A boundary for the payments feature
final class PaymentsBoundary: ContainerBoundary {
// Create a Subboundaries typealias using `BoundaryList` adding each children.
typealias Subboundaries = BoundaryList
.Add<Model>
.Add<Presenter>
.Add<View>
.Add<AFrameworkRelatedBoundary>
// Create a stored property for each subboundary. After resolving a boundary you get back
// a Resolved object, which gives you access ONLY to the input ports of the boundary. The
// Boundary itself remains private. This protects the encapsulation and the access to
// internal dependencies of the boundary
lazy var model: ModelBoundary.Resolved = {
// Call the inherited function `resolver(for:)` which gives you a builder for your dependency.
return resolver(for: Model.self).
.resolve(plugin: self.service) // You connect the plugin with the adapter here
.resolved() // After resolving each dependency, you call .resolved() and you are done.
}()
/// Same as before, the resolver works with generics and have the needed functions to resolve the boundary
lazy var presenter: PresenterBoundary.Resolved = {
return resolver(for: PresenterBoundary.self)
.resolve(dependency: self.model) // In here you connect the presenter with the model.
.resolved()
}()
/// You can resolve the adapter defined in the previous example here.
lazy var service: Service.Resolved = {
return resolver(for: Service.self)
.resolve(dependency: self.framework)
.resolved()
}()
lazy var framework: AFramework.Resolved = {
return resolver(for: AFramework.self).resolved()
}()
// Finally you can create an input port based on the input ports of your children.
// In this case since this feature uses MVP, it only exposes the view to respect the flow.
var paymentsView: InputPort<UIViewController> {
return makeInputPort(implementation: view.paymentsView)
}
}
As you can see Container Boundaries give you a big power for composing boundaries and shaping the architecture of your app. This composition creates a Boundaries graph, which will end up in a RootBoundary.
Root Boundary
RootBoundary
is just a subclass of a Container boundary, the only difference is that the root boundary can be built by you root object, in iOS for instance that root object would be the AppDelegate. Following the same example, we can create an Application Boundary inheriting from RootBoundary
with the feature boundaries of the app. (See the Container Boundary section for an example). Finally you can create an instance of the root boundary and start your app, always retain the root boundary as it contains the boundary graph, and each boundary can contain objects. See the example below:
final class ApplicationBoundary: RootBoundary {
// Root boundary is a container boundary so it can have subboundaries.
typealias Subboundaries = BoundaryList.Add<NavigationBoundary>.Add<ProfileBoundary>.Add<PaymentsBoundary> //...
// Define a input port for the root view controller.
var rootView: InputPort<UIViewController> {
// navigationBoundary is a subboundary of the root boundary.
return makeInputPort(implementation: self.navigationBoundary.launchView)
}
// In here create your subboundaries using the resolver API... look at the Container Boundary to know how to do this.
var navigationBoundary: NavigationBoundary.Resolved {
//... create your subboundary.
}
}
final class SceneDelegate: UIResponder, UIWindowSceneDelegate {
// The root boundary is the only boundary that is directly initializable. Same as the other boundaries,
// it returns you a Resolved type which gives you access to all the input ports of the root boundary.
// You must retain this object as it holds all the boundary graph and the stored dependencies on them.
lazy var appBoundary = ApplicationBoundary.Resolved()
var window: UIWindow?
func scene(_ scene: UIScene,
willConnectTo session: UISceneSession,
options connectionOptions: UIScene.ConnectionOptions) {
guard let windowScene = (scene as? UIWindowScene) else { return }
let window = UIWindow(windowScene: windowScene)
// In here you ask for the rootView via the input port of the appBoundary.
window.rootViewController = appBoundary.rootView
window.makeKeyAndVisible()
self.window = window
}
}
As you can see we didn’t use singletons at all, and everything is instantiated as it must be. I really encourage you to give it a try to this framework and look this example. You may have notice the framework doesn’t pollute your classes at all. The import Boundaries
must live in your boundary classes and your other classes would remain untouched. You can easily integrate this framework to your existing project as it adapts well. Mostly would imply refactoring your factories, service locators or whatever you are using to create your object graph to use this Boundaries APIs.
License
Copyright 2020, Frank Valbuena.
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
 IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.


We are an all-volunteer group, providing mountain education and resource interpretation specifically geared toward visitors to the unique environment of Old Rag Mountain in Virginia's Shenandoah National Park.
In addition to the education, we act as first responders to medical incidents on the mountain.
Do you enjoy hiking Old Rag? Would you like an opportunity to give back? Old Rag Mountain Stewards is always looking for bright motivated volunteers. We provide training and support; you provide willingness to learn and enthusiasm. We ask volunteers to commit to four days a year (two in the spring/summer and two in the fall). We also hold a couple of training weekends during the year. If you would like to come out and see what it is like, shoot us an email at<EMAIL_ADDRESS>We hold a couple of training weekends each year on topics such as Wilderness First Aid, Leave No Trace, outdoor skills, and aviation safety (for working around helicopters). In addition, training is provided every day we are on Old Rag to ensure that volunteer skills are maintained.
If you would like to volunteer or reach out to us for any other reason, please feel free to email us at<EMAIL_ADDRESS>Also, check us out on Instagram and Twitter.
If you would like to support us financially in our mission to help protect hikers and the resource, please use the link below.


An image-to-base64 utility Web API written in vanilla Go for passing images to various app intents.
By nature, response body returns only base64 data as byte stream. You can use response body to get base64.
For example;
We are looking forward to implement Allongé as a lightweight image manipulation API.
If you are comfortable with image manipulation with Go, please contact me from<EMAIL_ADDRESS>or github.


Here’s how to revert the new YouTube design
by SururYouTube yesterday announced a new look, but if you are adverse to change, this is how to revert the new YouTube design.
The new design features larger, higher resolution thumbnails, longer text labels and a new queue button, so it’s not exactly clear why you would want to go back to the old look, but here is how to revert the new YouTube design in the Chrome browser.
Visit Polymer disabled link for YouTube https://www.youtube.com/?disable_polymer=true and bookmark it, use it to YouTube from now on.
OR
Chrome: If you use Chome and other Chromium browsers, download and install “Restore Classic for YouTube ” extension available on Chrome web Store.
After installing the extension, click on its icon toolbar, and select “Classic Design”, if you’re on YouTube, it will be refreshed and loads the old design.
Via Techdows


New Site Under Construction [9/13/19]
High Guys Gaming is an Indie Game Development team made up from the Unreal Indie Dev community.
The new website is under construction and should be ready shortly.
High Guys Gaming is an Indie Game Development team made up from the Unreal Indie Dev community.
The new website is under construction and should be ready shortly.


Before Change
// CRv1.3-generated files lack essential metrics introduced in CRv2 (force_cells, conf_mapped_filtered_bc_reads)
// hence aggregation with these files is unsupported
mc_table = tables.open_file(mc_fn, "r")
cr_major_version = int(mc_table.get_node("/metrics")._v_attrs["cellranger_version"].split(".", 1)[0])
mc_table.close()
if cr_major_version < 2:
martian.exit("The molecule info HDF5 file (%s) was produced by an older version of Cell Ranger. Reading these files is unsupported." % mc_fn)
After Change
cr_major_version = int(mc_attrs["cellranger_version"].split(".", 1)[0])
gem_metrics = dict(mc_attrs["gem_groups"])
mc_table.close()
if cr_major_version < 2 or not all("conf_mapped_filtered_bc_reads" in group for group in gem_metrics.itervalues()):
martian.exit("The molecule info HDF5 file (%s) was produced by an older version of Cell Ranger. Reading these files is unsupported." % mc_fn)
nrows = mc_h5["barcode"].shape[0]


32
Change UserName
Change Password
LOGOUT
User Name:
HARVY
NUMBER OF GAMES WON:
NUMBER OF GAMES LOST:
YOUR WALLET:
Balance:
0.00 RS
Money Won:
0.00Rs.
User Name:
HARVY
NUMBER OF GAMES WON:
NUMBER OF GAMES LOST:
YOUR WALLET:
Balance:
0.00 RS
Money Won:
0.00Rs.
MOVES
PLAY


What's my type?
Let's play a super fun JavaScript game. Try to guess the
type
of each expression's result:
300 / 2 ;
"Hello" + "World" ;
4 < 2 ;
a + b ;
3 + "6" ;


Garden School Website Redesign
In this project, I redesigned the Garden School Website using Adobe XD as my design tool. I took on this website because of my large familiarity with the school. Being brought up all my life in this school from a young age, I understood the image that Garden wanted to project.
Garden School Home Page | 2018
Garden School Open House Page | 2018
Garden School Error Page | 2018
Oh My Disney Website Redesign
I took on redeisnging the Oh My Disney website for a class project. The resdesigning process used a few UX design Materials: Flinto and Sketch. The redesign was created for three different interfaces: phones, tablets, and desktops.
Phone Interface Redesign | 2019
Tablet Interface Redesign | 2019


I am a Math/CS student from Boulder, CO attending the University of Colorado campus here in my hometown. I have a black belt in American Kenpo, and have recently gotten into modding for Europa Universalis IV, a grand strategy game by Paradox Interactive. I decided to add CS on top of my studies in mathematics after learning to program in Python for Numerical Methods, which made me realize the potential of computing for solving problems that you would never want to do by hand.
| Name of Project | Technologies Used |
|---|---|
| PROJ1 | TECH1 |
| PROJ2 | TECH2 |


Rock legends KISS are coming to South Africa for one-night-only
Cape Town - Rock legends KISS coming to South Africa on their last tour ever! On 25 July 2020 at Johannesburg's Ticketpro Dome the band will rock the audience for one-night-only.
The tickets cost R800 and are available from Big Concert's website.
Tickets go on sale Friday 22 November at 09:00.
Discovery Cardholders get an exclusive 48-hour presale from 20 November 2019 at 09:00. Go here for more information.
MORE ABOUT KISS:
Known for their trademark larger-than-life blistering performances, KISS has proven for decades why they are hands down the most iconic live show in rock n roll. The Rock & Roll Hall of Famers, who have sold more than 100 million albums worldwide, have said this tour is devoted to the millions of KISS Army fans.
"All that we have built and all that we have conquered over the past four decades could never have happened without the millions of people worldwide who've filled clubs, arenas and stadiums over those years. This will be the ultimate celebration for those who've seen us and a last chance for those who haven't. KISS Army, we're saying goodbye on our final tour with our biggest show yet, and we'll go out the same way we came in... Unapologetic and Unstoppable," said KISS.
South Africa concert information:
Date: 25 July 2020
Venue: Ticketpro Dome
Ticket Price: From R800 Tickets go on sale Friday 22 November at 09:00.
Compiled by Alex Isaacs.


Description:
Simulator Executive using Equation Oriented solving.
Superclasses:
Simulator Executive That part of a simulator whose job it is to create or load a previously stored flowsheet, solve it and display the results.


AllHome’s 9-month profit jumped 225% to P746.2m
by Jenniffer B. AustriaAllHome Corp., the newly listed one-stop shop home store chain of billionaire Manuel Villar Jr., said Friday net income in the first nine months of the year surged 225 percent to P746.2 million from P229.7 million year-on-year.
Revenues increased 72 percent to P8.2 billion from P4.8 billion a year ago, the company said in a disclosure to the stock exchange.
“We are very pleased with the company’s continued strong growth in our bottomline numbers as well as the surge in our total revenues for the first nine months of the year,” said AllHome chairman Villar.
“AllHome continues to deliver solid performance which brings us closer to our full year target. As we have previously mentioned, the home improvement industry in the Philippines is still under penetrated and we are taking advantage of such by aggressively opening AllHome to more locations across the country,” he added.
The company earlier opened three new stores in October to boost its store network to 30.
The three new stores are in Starmall Alabang, Starmall San Jose del Monte Bulacan and Vista Mall North Molino.
AllHome vice president Camille Villar said the company was on track with the store expansion program for the year and the next that will double net selling space by the end of 2020.
“Expansion is focused on Mega Manila for now, but the longer-term plan is to bring AllHome to the rest of the Philippines. For October alone, the Company opened three new stores in Alabang, Bulacan, and in Cavite,” she said.
AllHome made a debut in the Philippine Stock Exchange through an initial public offering on October 10. It is the fourth listed company of the Villar Group.
Other listed firms owned by the Villars are Vista Land & Lifescapes Inc., Vistamalls Inc. and Golden Bria Holdings Inc.
Share price of AllHome on Friday added 0.9 percent to P11.48.


WITNESS LIST
Natural Resources
March 8, 2011 9:00 AM
FOR:
Forrest, Yvonne (City of Houston), Houston, TX
Lorenz, Jennifer (Bayou Land Conservancy), Houston, TX
Szecsy, Richard (Texas Aggregate and Concrete Association), Austin, TX
Registering, but not testifying:
For Committee Substitute (CSSB 160) :
Sledge, Brian (Brick Industry Association; Solid Waste Association of North America,
Lone Star Chapter), Austin, TX
For:
Hiers, P.G., Scott (City of Austin), Austin, TX
Jones, Max (Travis County), Austin, TX
Kellough, Annie (Friends of the Brazos River), Austin, TX
Kuhn, Lee (Republic Services), Driftwood, TX
Lowerre, Richard (Caddo Lake Institute), Austin, TX
Macomb, Chris (Waste Management of Texas Inc.), Austin, TX
Park, Joey (KBDJ Quarry), Austin, TX
Phillips, Matt (The Nature Conservancy), Austin, TX
Reed, Cyrus (Sierra Club), Austin, TX
Weinberg, David (Texas League of Conservation Voters), Austin, TX
Against:
Turner, Bob (Earth Moving Contractors Association of Texas), Voss, TX
FOR:
Borden, Deena (Bexar Met), Helotes, TX
Eaton, Debra (Self; BMWD), Converse, TX
King - Wethern, Ann Marie (Self; Oak Glen Park; Castle Park Neighborhood), San
Antonio, TX
Perez, Richard (The Greater San Antonio Chamber of Commerce), San Antonio, TX
Poage, James B. (Self), San Antonio, TX
AGAINST:
Clement, James (Self), Elmendorf, TX
Shackelford, John H. (Self; BMWB), San Antonio, TX
Wenger, Lesley (Bexar Met Constituents), San Antonio, TX
ON:
Durden, Don (Self), Comfort, TX
Lopez, Guadalupe I. (BMWD), San Antonio, TX
Registering, but not testifying:
For:
Contreras, Carlos (City of San Antonio), San Antonio, TX
Kirby, J. Thomas (Self; Oak Park), San Antonio, TX
1
WITNESS LIST
Natural Resources
March 8, 2011 9:00 AM
On:
Galiga, Todd (TCEQ), Austin, TX
FOR:
Holland, Kirk (Barton Springs/Edwards Aquifer Conservation District), Austin, TX
Registering, but not testifying:
For:
Hrncir, John (City Of Austin), Austin, TX
FOR:
Schwirtz, Mark W. (Golden Spread Electric Coop.), Amarillo, TX
Registering, but not testifying:
For:
Craven, Eric (Texas Electric Cooperatives), Austin, TX
Ross, Susan D. (Texas Renewable Energy Industries Association), Austin, TX
Smith, Tom "Smitty" (Public Citizen), Austin, TX
AGAINST:
Maurer, Sr., Michael (Self), Spring Branch, TX
ON:
Mills, Kelly (Texas Commission on Environmental Quality), Austin, TX
Registering, but not testifying:
For:
Conkwright, Jim (High Plains UWCD No. 1), Lubbock, TX
Reed, Cyrus (Lone Star Chapter , Sierra Club), Austin, TX
FOR:
Macmanus, Brian (East Rio Hondo Water Supply Corp. / Texas Rural Water Association),
Rio Hondo, TX
Registering, but not testifying:
For:
Igo, Shanna (Texas Municipal League), Austin, TX
Lopez, Elvia (South Texas Water Utility Managers Association), Austin, TX
Morris, Joe (Aqua Water Supply Corporation), Austin, TX
FOR:
Clamp, John Councilman from San Antonio (City of San Antonio), San Antonio, TX
Dugas Jr., Norman T. (Real Estate Council of S.A. and Greater S.A. Builders Assoc.), San
Antonio, TX
King - Wethern, Ann Marie (Self; Oak Glen Park; Castle Park Neighborhood Rep), San
Antonio, TX
2
WITNESS LIST
Natural Resources
March 8, 2011 9:00 AM
Poage, James B. (Self), San Antonio, TX
AGAINST:
Alaniz, Jesse Jay (Rate Payer), San Antonio, TX
Alvarado Sr., Robert (Bear Bin), San Antonio, TX
Avila, Henry (Bexar Met Water District), San Antonio, TX
Barajas, Olga G. (Bexar Met Water District), San Antonio, TX
Borden, Deena (Bexar Met), Helotes, TX
Camacho, Rosalinda (Bexar Met Water District), San Antonio, TX
Castaneda, Gina (Community - Rate payers), San Antonio, TX
Clement, James (Self), Elmendorf, TX
Diaz, Minerva (Bexar Met Water District), San Antonio, TX
Eaton, Debra (Self for BMWD), Converse, TX
Gawlik, Roe (Bexar Met Water District), San Antonio, TX
Guerra, Irael (Bexar Met Water Dist), San Antonio, TX
Killen, Melissa (Bexar Metropolitan Water District), San Antonio, TX
Lopez, Guadalupe I. (BMWD), San Antonio, TX
Morin, Jesse (Bexar Met), San Antonio, TX
Placencia, Rogelio (Bexar Metropolitan Water District), San Antonio, TX
Ramos, Humberto (Bexar Metropolitan Water District), San Antonio, TX
Rocha, Alfred (Community; BMWD), San Antonio, TX
Shackelford, John H. (Self; BMWB), San Antonio, TX
Villanueva, Rosalinda (Bexar Met Water District), San Antonio, TX
Villarreal II., Robert R. (Bexar Met Water District), San Antonio, TX
ON:
Durden, Don (Bexar Met Leg. Oversight Committee), Comfort, TX
Puente, Robert R. (SAWS), Castle Hills, TX
Rios, Rolando L. (Bexar Met), San Antonio, TX
Wenger, Lesley (Bexar Met District 6 Constituents), San Antonio, TX
Registering, but not testifying:
For:
Contreras, Carlos (City of San Antonio), San Antonio, TX
Guevara, Thomas (Bexar County Commissioners Court), San Antonio, TX
Kirby, Tom (Self; Oak Glen Park), San Antonio, TX
Mintz, David (San Antonio Apartment Association), Austin, TX
Norman, Scott (Texas Association of Builders), Austin, TX
Whalen, Ken (TX Daily Newspaper Association; TX Press Assoc.), Austin, TX
Against:
Castillo, Rosie (Bexar Met Water District), San Antonio, TX
DeHoyos, Cynthia (Bexar Met Water District), San Antonio, TX
Garcia, Madeleine J. (Bexar Met Water District), San Antonio, TX
3
WITNESS LIST
Natural Resources
March 8, 2011 9:00 AM
On:
Galiga, Todd (TCEQ), Austin, TX
FOR:
Morrison, James (Texas Rural Water Assoc.), Huntsville, TX
Registering, but not testifying:
For:
Igo, Shanna (Texas Municipal League), Austin, TX
Zent, Lara (Texas Rural Water Association), Austin, TX
Against:
Profilet, Charles W. (Southwest Water Company), Sugarland, TX
On:
Montemayor, Piper (Texas Water Development Board), Austin, TX
Petersen, Ken (Texas Water Development Board), Austin, TX
Registering, but not testifying:
For:
Kellough, Annie (Friends of the Brazos River), Austin, TX
Phillips, Matt (The Nature Conservancy), Austin, TX
On:
Morgan, Tiffany (Brazos River Authority), Waco, TX
Registering, but not testifying:
For:
Cook, Robby (Lost Pines Groundwater Conservation District), Austin, TX
Holland, Kirk (Barton Springs/Edwards Aquifer Conservation District), Austin, TX
Registering, but not testifying:
Against:
Mendez, Mark (Tarrant County Commissioners Court), Fort Worth, TX
ON:
Reed, Cyrus (Lone Star Chapter , Sierra Club), Austin, TX
Smith, Tom "Smitty" (Public Citizen), Austin, TX
Registering, but not testifying:
For Committee Substitute (CSSB 527) :
Hastings, Debbra (Texas Oil and Gas Association), Austin, TX
For:
Ashley, Price (Texas Association of Manufacturers), Austin, TX
Carter, Teddy (Texas Independent Producers and Royalty Owners Association), Austin,
TX
4
WITNESS LIST
Natural Resources
March 8, 2011 9:00 AM
Davis, Tricia (American Royalty Council), Dripping Springs, TX
Igo, Shanna (Texas Municipal League), Austin, TX
Jackson, Mabrie (North Texas Commission), Irving, TX
McBeth, Kelly (Gas Processors Association), Austin, TX
Stevens, Bill (TX Alliance of Energy Producers), Austin, TX
Sturzl, Frank (City of Arlington), Austin, TX
Weinberg, David (Texas League of Conservation Voters), Austin, TX
On:
Brymer, David (Texas Commission on Environmental Quality), Austin, TX
5


You Accomplished Enough In 2019
by https://www.facebook.com/hollyriordanwritingYou Accomplished Enough In 2019
By Holly Riordan Updated November 19, 2019
By Holly Riordan Updated November 19, 2019
Now that 2019 is coming to an end, you can’t log onto social media without seeing statuses about everything your friends have accomplished this past year (and past decade). However, you cannot compare their successes to your successes. You cannot get upset about how your own list of accomplishments is smaller or less impressive. You cannot allow yourself to head into 2020 feeling like the last few years have been a waste, a failure, an embarrassment.
It doesn’t matter whether you’re single or married with children. It doesn’t matter whether you own your own home or are living with your parents. It doesn’t matter whether you’re working your dream job or still struggling to figure out what career path you want to pursue. You might not have reached the same milestones as some of your friends — but there is one thing you all have in common. You survived.
You survived heartaches.  There were moments when you felt like you would never experience happiness again after they shattered your heart, but you’ve smiled again, laughed again, maybe even loved again. You might not feel entirely like you again, but you’re getting there.
You survived loss. Some of the people you once considered your best friends have wandered out of your life. Some family members you thought would be on this earth forever have left it too soon. Even though it hurts to not have them around anymore, you’re okay on most days. You’re coping with what has happened. Your heart hasn’t healed, and maybe it will never heal completely, but it’s still strong enough to beat inside your chest. It hasn’t given up on you yet — and you can’t give up on yourself either.
You survived rejection.   There were people who made you think you weren’t good enough, people who encouraged you to give up on your dreams, but you survived those criticisms. You’ve survived those insecurities, even if you haven’t conquered them yet.
 You survived awkward conversations. You survived toxic relationships. You survived physical and emotional pain.  You might feel like it’s silly to say the greatest thing you accomplished in 2019 is that you survived, but that can take a lot of courage to do.
Think about it. You survived another decade! You should be proud of yourself for that. You’re here. And that’s all that matters. You can’t change the way you spent the last ten years, but you’re in total control of how you spend the next ten. Make them worthwhile. But if all you do is survive, that’s okay too.
About the author
Holly is the author of Severe(d): A Creepy Poetry Collection. Follow Holly on Instagram or read more articles from Holly on Thought Catalog.
Learn more about Thought Catalog and our writers on our about page.
- 0
The truth is that you can be struggling and still be loved.
 You just have to show up and try.  You’ll figure out the rest along the way.


Nanocoin: 1/2^30 coins6Roughly one billionth of a coin - recording fees might be as low as one nanocoin per byte.
Shares Per Coin: N Shares / N Coins, in this example mantissa: N Shares, exponent: 2^-33
Shares Per Nanocoin: N Shares / N Coins / 1^30, in this example mantissa: N Shares, exponent: 2^-63
Number of shares charged to record a 2568 byte record: 2568 * N Shares >> 63
Number of shares in 50 coins: 50 * N Shares >> 33
N shares, expressed in coins: (N shares << 33) / N shares outstanding
Thought: maybe instead of one coin per person in the world, we should target 100,000 coins per person in the world, which would be 2^50ish. Or, instead of trying to take on the world, we could, instead, target a set of shares to a smaller population, say 100,000 users per genesis block/blockchain, averaging 100,000 coin on the chainshares - this comes back around to the idea of ~10B coins again, or around 2^33 (~8.6B) - and then you'll need on the order of 80,000 value chains to serve the whole world population.
No Fractional Shares
2^86 is an extremely large number. Share calculations that produce fractional results are rounded to the nearest integer.
Assign Onward
27 May 2018
MIT License
Copyright (c) 2018 Assign Onward
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Treebank Statistics: UD_Teko-TuDeT: Features: Number
This feature is universal.
It occurs with 2 different values: Plur
, Sing
.
This is a layered feature with the following layers: Number, Number[obj], Number[subj].
435 tokens (19%) have a non-empty value of Number
.
319 types (25%) occur at least once with a non-empty value of Number
.
166 lemmas (29%) occur at least once with a non-empty value of Number
.
The feature is used with 11 part-of-speech tags: VERB (189; 8% instances), NOUN (146; 6% instances), PRON (45; 2% instances), AUX (19; 1% instances), ADP (15; 1% instances), DET (7; 0% instances), PROPN (6; 0% instances), ADV (5; 0% instances), CCONJ (1; 0% instances), NUM (1; 0% instances), PART (1; 0% instances).
VERB
189 VERB tokens (29% of all VERB
tokens) have a non-empty value of Number
.
The most frequent other feature values with which VERB
and Number
co-occurred: Voice=EMPTY (169; 89%), Aspect=EMPTY (166; 88%), Person=1 (117; 62%).
VERB
tokens may have the following values of Number
:
Plur
(54; 29% of non-emptyNumber
): pedʒapɨakaõwã, pedʒuɲ, pekuar, sidʒemin, sikuwakatu, sinan, depeidudʒi, depezezikatari, disidʒapɨakadʒi, disimãʔẽɲiSing
(135; 71% of non-emptyNumber
): abaʔe, ahotar, ekʷa, aiɲuŋokar, apotar, damãʔẽtaraɨdʒi, dapotari, aho, aiɲuŋokartar, anũpãEMPTY
(458): oho, oiɲuŋ, eʔi, obaʔe, ohoŋ, owir, oʔa, oker, omãʔẽnẽ, onan
| Paradigm mãʔẽ | Sing | Plur |
|---|---|---|
| Case=Dat|Nmzr=Ag | mãʔẽharakomape | |
| Clusivity=In|Polarity=Neg | disimãʔẽɲi | |
| Contrast=Yes|Person=1 | amãʔẽnẽ | |
| Intens=Yes|Person=1|Polarity=Neg|Tense=Fut | damãʔẽtaraɨdʒi | |
| Mood=Per|Person=2 | teremãʔẽ | |
| Person=1 | amãʔẽ |
NOUN
146 NOUN tokens (18% of all NOUN
tokens) have a non-empty value of Number
.
The most frequent other feature values with which NOUN
and Number
co-occurred: Rel=EMPTY (109; 75%), Case=EMPTY (100; 68%).
NOUN
tokens may have the following values of Number
:
Plur
(75; 51% of non-emptyNumber
): pitakom, wãĩwĩkom, lekolazarakom, awakʷərakom, ikɨwɨrakom, baʔekom, karaikom, logementssociauxkom, nõdezar, nõdezarakotɨSing
(71; 49% of non-emptyNumber
): emen, eraha, erapɨdʒape, ereiba, ezozopodʒ, abaʔepotɨr, akaʔa, anami, apoʔã, apõʔãEMPTY
(672): zawar, tapɨdʒ, wãĩwĩ, baipuri, baʔe, raʔɨr, sə, ʔɨb, awakʷər, eiba
| Paradigm apɨdʒ | Sing | Plur |
|---|---|---|
| Case=Dat|Person=1|Rel=Cont | erapɨdʒape | |
| Case=Loc|Clusivity=In|Nmzr=Rel|Person=1 | nõderapɨdʒapope | |
| Case=Loc|Person=1|Rel=Cont | erapɨdʒape | |
| Mood=Jus|Person=2|Rel=Cont | derapɨdʒnane | |
| Nmzr=Rel|Person=2 | derapɨdʒ | |
| Person=1|Rel=Cont|Tense=Fut | erapɨdʒtar | |
| Person=2|Rel=Cont | pedapɨdʒ, penerapɨdʒ |
Number
seems to be lexical feature of NOUN
. 91% lemmas (71) occur only with one value of Number
.
PRON
45 PRON tokens (68% of all PRON
tokens) have a non-empty value of Number
.
The most frequent other feature values with which PRON
and Number
co-occurred: PronType=EMPTY (43; 96%), Int=EMPTY (40; 89%), Case=EMPTY (35; 78%), Clusivity=EMPTY (34; 76%), Person=1 (27; 60%).
PRON
tokens may have the following values of Number
:
Plur
(11; 24% of non-emptyNumber
): nõde, amõkom, amõkoma, nõdekom, nõdepe, nõderehe, orereɲSing
(34; 76% of non-emptyNumber
): idʒe, ede, ereɲ, idʒeate, tede, edeatesipo, depe, epe, idʒeanẽ, idʒeenamEMPTY
(21): amõ, pamẽ, am, amõenam, awa, awapeto, awata, awawo, maŋ, maŋato
| Paradigm orereɲ | Sing | Plur |
|---|---|---|
| Clusivity=Ex | orereɲ | |
| Clusivity=In | orereɲ |
AUX
19 AUX tokens (32% of all AUX
tokens) have a non-empty value of Number
.
The most frequent other feature values with which AUX
and Number
co-occurred: Aspect=EMPTY (17; 89%), Person=1 (16; 84%).
AUX
tokens may have the following values of Number
:
Plur
(4; 21% of non-emptyNumber
): sidʒu, pedʒuSing
(15; 79% of non-emptyNumber
): adʒu, adʒumãʔẽ, adʒunẽɲ, eredʒu, eredʒuɲEMPTY
(41): kob, dati, ate, kobaitʃe, otuio, otuiʔe, datikatu, dʒu, kobara, kobazepe
| Paradigm dʒu | Sing | Plur |
|---|---|---|
| Aspect=Cont|Contrast=Yes|Person=1 | adʒunẽɲ | |
| Aspect=Cont|Person=2 | eredʒuɲ | |
| Clusivity=In|Person=1 | sidʒu | |
| Nmzr=Rel|Person=1 | adʒumãʔẽ | |
| Person=1 | adʒu | |
| Person=2 | eredʒu | pedʒu |
ADP
15 ADP tokens (21% of all ADP
tokens) have a non-empty value of Number
.
The most frequent other feature values with which ADP
and Number
co-occurred: Case=EMPTY (12; 80%), Person=1 (8; 53%), Rel=Cont (8; 53%).
ADP
tokens may have the following values of Number
:
Plur
(8; 53% of non-emptyNumber
): nõdereheo, ehekom, pedehe, pedeheɲ, pegotɨSing
(7; 47% of non-emptyNumber
): derehe, dewɨrakotɨ, epewaramte, erehe, nõdeʔaragatu, orepeEMPTY
(58): rupi, idʒupe, ehe, ipope, iwɨb, rehete, puri, rehe, rehewe, rupiwe
| Paradigm ehe | Sing | Plur |
|---|---|---|
| Aspect=Cont|Clusivity=In|Person=1|Rel=Cont | nõdereheo | |
| Aspect=Cont|Person=2|Rel=Cont | pedeheɲ | |
| Person=1|Rel=Cont | erehe | |
| Person=2 | derehe | |
| Person=2|Rel=Cont | derehe | pedehe |
DET
7 DET tokens (9% of all DET
tokens) have a non-empty value of Number
.
The most frequent other feature values with which DET
and Number
co-occurred: Foc=EMPTY (7; 100%), Case=EMPTY (4; 57%).
DET
tokens may have the following values of Number
:
Plur
(7; 100% of non-emptyNumber
): aʔekom, aʔekoma, wɨɲakom, wɨɲakomãhãEMPTY
(67): aŋ, aʔe, wɨɲ, wɨɲate, arehete, aŋara, aŋeʔe, aʔeate, aʔewi, les
PROPN
6 PROPN tokens (13% of all PROPN
tokens) have a non-empty value of Number
.
The most frequent other feature values with which PROPN
and Number
co-occurred: Case=EMPTY (5; 83%).
PROPN
tokens may have the following values of Number
:
Plur
(6; 100% of non-emptyNumber
): tekokom, meneɲõkom, tekokomãhã, SẽswawanakomEMPTY
(42): teko, Françoise, Polo, Trois-Sautskotɨ, surinamapope, A, Bopea, Camopipori, Cayenneape, Cayenneawinẽ
ADV
5 ADV tokens (2% of all ADV
tokens) have a non-empty value of Number
.
ADV
tokens may have the following values of Number
:
Sing
(5; 100% of non-emptyNumber
): ekotɨEMPTY
(213): aipo, am, kiʔɨ, ãhã, kor, nani, ikeʔɨ, ikiʔɨ, pɨawe, wane
CCONJ
1 CCONJ tokens (13% of all CCONJ
tokens) have a non-empty value of Number
.
The most frequent other feature values with which CCONJ
and Number
co-occurred: Foc=EMPTY (1; 100%), Person=2 (1; 100%), PronType=EMPTY (1; 100%), Rel=Cont (1; 100%).
CCONJ
tokens may have the following values of Number
:
Sing
(1; 100% of non-emptyNumber
): deroʔoramEMPTY
(7): oʔoram, mais, oʔoramte, zeʔoram
NUM
1 NUM tokens (5% of all NUM
tokens) have a non-empty value of Number
.
The most frequent other feature values with which NUM
and Number
co-occurred: Number[subj]=EMPTY (1; 100%).
NUM
tokens may have the following values of Number
:
Plur
(1; 100% of non-emptyNumber
): mokoɲamãʔẽkomEMPTY
(18): bapɨr, mokoɲ, mozepẽ, 12, cinq, dimokoɲi, mokoɲoŋ, mokoɲtaroŋ, momokonte, mozepẽãhã
PART
1 PART tokens (4% of all PART
tokens) have a non-empty value of Number
.
The most frequent other feature values with which PART
and Number
co-occurred: Case=EMPTY (1; 100%), Mood=EMPTY (1; 100%), Number[subj]=EMPTY (1; 100%), Polarity=EMPTY (1; 100%).
PART
tokens may have the following values of Number
:
Plur
(1; 100% of non-emptyNumber
): kupaoEMPTY
(27): waɨ, kupao, mamenasinã, am, mame, a, enam, kupanam, kupaɲ, mamen
Relations with Agreement in Number
The 10 most frequent relations where parent and child node agree in Number
:
VERB –[nsubj]–> PRON (16; 84%),
VERB –[parataxis]–> VERB (13; 68%),
VERB –[advcl]–> NOUN (4; 67%),
VERB –[dep]–> VERB (3; 75%),
VERB –[xcomp]–> VERB (3; 75%),
VERB –[dep]–> PRON (2; 67%),
VERB –[discourse]–> PRON (2; 100%),
NOUN –[nsubj]–> PRON (1; 100%),
NOUN –[parataxis]–> NOUN (1; 100%),
PRON –[det]–> DET (1; 100%).


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| PostgreSQL 9.5.19 Documentation | |||
|---|---|---|---|
| Prev | Up | Chapter 55. Writing A Table Sampling Method | Next |
The TSM handler function returns a palloc'd TsmRoutine struct containing pointers to the support functions described below. Most of the functions are required, but some are optional, and those pointers can be NULL.
void SampleScanGetSampleSize (PlannerInfo *root, RelOptInfo *baserel, List *paramexprs, BlockNumber *pages, double *tuples);
This function is called during planning. It must estimate the number of
relation pages that will be read during a sample scan, and the number of
tuples that will be selected by the scan. (For example, these might be
determined by estimating the sampling fraction, and then multiplying
the baserel->pages and baserel->tuples
numbers by that, being sure to round the results to integral values.)
The paramexprs list holds the expression(s) that are
parameters to the TABLESAMPLE clause. It is recommended to
use estimate_expression_value()
to try to reduce these
expressions to constants, if their values are needed for estimation
purposes; but the function must provide size estimates even if they cannot
be reduced, and it should not fail even if the values appear invalid
(remember that they're only estimates of what the run-time values will be).
The pages and tuples parameters are outputs.
void InitSampleScan (SampleScanState *node, int eflags);
Initialize for execution of a SampleScan plan node.
This is called during executor startup.
It should perform any initialization needed before processing can start.
The SampleScanState node has already been created, but
its tsm_state field is NULL.
The InitSampleScan
function can palloc whatever internal
state data is needed by the sampling method, and store a pointer to
it in node->tsm_state.
Information about the table to scan is accessible through other fields
of the SampleScanState node (but note that the
node->ss.ss_currentScanDesc scan descriptor is not set
up yet).
eflags contains flag bits describing the executor's
operating mode for this plan node.
When (eflags & EXEC_FLAG_EXPLAIN_ONLY) is true,
the scan will not actually be performed, so this function should only do
the minimum required to make the node state valid for EXPLAIN
and EndSampleScan
.
This function can be omitted (set the pointer to NULL), in which case
BeginSampleScan
must perform all initialization needed
by the sampling method.
void BeginSampleScan (SampleScanState *node, Datum *params, int nparams, uint32 seed);
Begin execution of a sampling scan. This is called just before the first attempt to fetch a tuple, and may be called again if the scan needs to be restarted. Information about the table to scan is accessible through fields of the SampleScanState node (but note that the node->ss.ss_currentScanDesc scan descriptor is not set up yet). The params array, of length nparams, contains the values of the parameters supplied in the TABLESAMPLE clause. These will have the number and types specified in the sampling method's parameterTypes list, and have been checked to not be null. seed contains a seed to use for any random numbers generated within the sampling method; it is either a hash derived from the REPEATABLE value if one was given, or the result of random() if not.
This function may adjust the fields node->use_bulkread and node->use_pagemode. If node->use_bulkread is true, which it is by default, the scan will use a buffer access strategy that encourages recycling buffers after use. It might be reasonable to set this to false if the scan will visit only a small fraction of the table's pages. If node->use_pagemode is true, which it is by default, the scan will perform visibility checking in a single pass for all tuples on each visited page. It might be reasonable to set this to false if the scan will select only a small fraction of the tuples on each visited page. That will result in fewer tuple visibility checks being performed, though each one will be more expensive because it will require more locking.
If the sampling method is
marked repeatable_across_scans, it must be able to
select the same set of tuples during a rescan as it did originally, that is
a fresh call of BeginSampleScan
must lead to selecting the
same tuples as before (if the TABLESAMPLE parameters
and seed don't change).
BlockNumber NextSampleBlock (SampleScanState *node);
Returns the block number of the next page to be scanned, or InvalidBlockNumber if no pages remain to be scanned.
This function can be omitted (set the pointer to NULL), in which case the core code will perform a sequential scan of the entire relation. Such a scan can use synchronized scanning, so that the sampling method cannot assume that the relation pages are visited in the same order on each scan.
OffsetNumber NextSampleTuple (SampleScanState *node, BlockNumber blockno, OffsetNumber maxoffset);
Returns the offset number of the next tuple to be sampled on the specified page, or InvalidOffsetNumber if no tuples remain to be sampled. maxoffset is the largest offset number in use on the page.
Note:
NextSampleTuple
is not explicitly told which of the offset numbers in the range 1 .. maxoffset actually contain valid tuples. This is not normally a problem since the core code ignores requests to sample missing or invisible tuples; that should not result in any bias in the sample. However, if necessary, the function can examine node->ss.ss_currentScanDesc->rs_vistuples[] to identify which tuples are valid and visible. (This requires node->use_pagemode to be true.)
Note:
NextSampleTuple
must not assume that blockno is the same page number returned by the most recentNextSampleBlock
call. It was returned by some previousNextSampleBlock
call, but the core code is allowed to callNextSampleBlock
in advance of actually scanning pages, so as to support prefetching. It is OK to assume that once sampling of a given page begins, successiveNextSampleTuple
calls all refer to the same page until InvalidOffsetNumber is returned.
void EndSampleScan (SampleScanState *node);
End the scan and release resources. It is normally not important to release palloc'd memory, but any externally-visible resources should be cleaned up. This function can be omitted (set the pointer to NULL) in the common case where no such resources exist.


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A common task in any security review, is auditing user access control, as excessive numbers of privileged users are a common theme, and privileged access a common point of attack.
However when it comes to completing this kind of review on a Kubernetes cluster, you’ll likely find it not as straight-forward as expected, due to k8s’ rather hands-off approach to identity management.
Similarly to areas such as Networking and Storage, k8s has taken the decision to delegate the matter of user identity management to largely external systems. There is no standard user database in a cluster, and where you can find the information to review privileged access will largely depend on the configured authentication mechanisms.
What information is available?
Assuming that you’re using RBAC (‘cause if you’re not it’s likely the answer to “who has cluster-admin rights?” is “All your authenticated users”) the information available is from a couple of different sources. clusterroles
and clusterrolebindings
provide information on cluster level privileges and roles
and rolebindings
serve the same purpose at the namespace level.
What you can get from the cluster is a list of the subjects that have a given role. These can be either users, service accounts, or groups. The main issue, in terms of determining the overall access to the cluster, comes from the inclusion of groups in that list of subjects, as group membership isn’t recorded anywhere within the cluster, it’s defined by the identity provider.
To make this possbly a little clearer, lets take a worked example.
The cluster role cluster-admin
is obviously pretty key as it has complete rights to the entire Kubernetes cluster. On a standard kubeadm 1.9 cluster if you run the command
kubectl get clusterrolebinding cluster-admin -o yaml
the output will look something like
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
annotations:
rbac.authorization.kubernetes.io/autoupdate: "true"
creationTimestamp: 2018-01-10T21:03:11Z
labels:
kubernetes.io/bootstrapping: rbac-defaults
name: cluster-admin
resourceVersion: "94"
selfLink: /apis/rbac.authorization.k8s.io/v1/clusterrolebindings/cluster-admin
uid: aa8f62e2-f649-11e7-8092-000c290b2418
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: ClusterRole
name: cluster-admin
subjects:
- apiGroup: rbac.authorization.k8s.io
kind: Group
name: system:masters
The key point is the subjects section at the end where we can see that all members of the system:masters
group have the cluster-admin
role. The membership of that group isn’t defined anywhere in your cluster.
It’s worth noting also that whilst tying up the identity of people with rights to your cluster is easier with Users and Service accounts than it is with groups, Kubernetes still relies on external systems to warrant these identities, so just ‘cause the cluster role binding says “User fred has a binding to the cluster-admin role”, it doesn’t actually have any way (within the cluster) of asserting who fred is.
So how do I audit k8s user rights?
Basically you’ll need to find out what authentication mechanisms are supported by the cluster, and then for each one, determine how group membership is defined and see if you can assemble a list of users that way.
For example, lets say the cluster is using client certificate authentication (a common option in many clusters). As per the Kubernetes docs group memberships are defined in the CSR, so to review membership, you’ll need to grep. through all the CSRs (assuming there is a record of them) and pull out the group memberships that way.
Conclusion
Nothing in this post will come as any surprise to people who’ve been following Kubernetes security for a while now. However as it grows in popularity and more large companies start rolling it out, issues like understanding who has rights to what will start becoming more important.


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Lyrics of Love and Laughter
by Paul Laurence Dunbar
De Critters' Dance
Additional Information
- Year Published: 1913
- Language: English
- Country of Origin: United States of America
- Source: Dunbar, P.L. (1913). The Complete Poems of Paul Laurence Dunbar. New York: Dodd, Mead, and Company.
-
Readability:
- Flesch–Kincaid Level: 6.5
- Word Count: 633
- Genre: Poetry
- ✎ Cite This
Downloads
Ain’t nobody nevah tol’ you not a wo’d a–tall,
‘Bout de time dat all de critters gin dey fancy ball?
Some folks tell it in a sto’y, some folks sing de rhyme,
‘Peahs to me you ought to hyeahed it, case hit ’s ol’ ez time.
Well, de critters all was p’osp’ous, now would be de chance
Fu’ to tease ol’ Pa’son Hedgehog, givin’ of a dance;
Case, you know, de critters’ preachah was de stric’est kin’,
An’ he nevah made no ‘lowance fu’ de frisky min’.

W’en de night come, dey all gathahed in a place dey knowed,
Fu’ enough erway f’om people, nigh enough de road,
All de critters had ersponded, Hop–Toad up to Baih,
An’ I ’s hyeah to tell you, Pa’son Hedgehog too, was daih.
Well, dey talked an’ made dey ‘bejunce, des lak critters do,
An’ dey walked an’ p’omenaded ‘roun’ an’ thoo an’ thoo;
Jealous ol’ Mis’ Fox, she whispah, “See Mis’ Wildcat daih,
Ain’t hit scan’lous, huh a–comin’ wid huh shouldahs baih?”
Ol’ man T’utle was n’t honin’ fu’ no dancin’ tricks,
So he stayed by ol’ Mis’ Tu’tle, talkin’ politics;
Den de ban’ hit ‘mence a–playin’ critters all to place,
Fou’ ercross an’ fou’ stan’ sideways, smilin’ face to face.
‘Fessah Frog, he play de co’net, Cricket play de fife,
Slews o’ Grasshoppahs a–fiddlin’ lak to save dey life;
Mistah Crow, ‘he call de figgers, settin’ in a tree,
Huh, uh! how dose critters sasshayed was a sight to see.

Pa’son Hedgehog groanin’ awful at his converts’ shines,
‘Dough he peepin’ thoo his fingahs at dem movin’ lines,
‘Twell he cain’t set still no longah w’en de fiddles sing,
Up he jump, an’ bless you, honey, cut de pigeon–wing.
Well, de critters lak to fainted jes’ wid dey su’prise.
Sistah Fox, she vowed she was n’t gwine to b’lieve huh eyes;
But dey could n’t be no ‘sputin’ ‘bout it any mo’:
Pa’son Hedgehog was a–cape’in’ all erroun’ de flo.’
Den dey all jes’ capahed scan’lous case dey did n’t doubt,
Dat dey still could go to meetin’; who could tu’n ‘em out?
So wid dancin’ an’ uligion, dey was in de fol’,
Fu’ a–dancin’ wid de Pa’son couldn’t hu’t de soul.


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is a Python-based free and open-source web framework that follows the model-template-views (MTV) architectural pattern.[9][10] It is maintained by the Django Software Foundation (DSF), an American independent organization established as a 501(c)(3) non-profit. Django's primary goal is to ease the creation of complex, database-driven websites. The framework emphasizes reusability and "pluggability" of components, less code, low coupling, rapid development, and the principle of don't repeat yourself.[11] Python is used throughout, even for settings, files, and data models. Django also provides an optional administrative create, read, update and delete interface that is generated dynamically through introspection and configured via admin models.
Django was created in the fall of 2003, when the web programmers at the Lawrence Journal-World newspaper, Adrian Holovaty and Simon Willison, began using Python to build applications. Jacob Kaplan-Moss was hired early in Django's development shortly before Simon Willison's internship ended.[19] It was released publicly under a BSD license in July 2005. The framework was named after guitarist Django Reinhardt.[20] Adrian Holovaty is a Romani jazz guitar player and a big fan of Django Reinhardt.
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Wedding of the week: Iain McHolm and Joanne McNeill
Iain and Joanne met at Overton Farm Point to Point in March 2007.
by Leona Greenan, https://www.dailyrecord.co.uk/authors/leona-greenan/The couple Iain works as an electrician with Ross-shire Engineering. Joanne works in customer services with South Lanarkshire Council. The couple live in Stonehouse.
When they met Iain and Joanne met at Overton Farm Point to Point in March 2007.
The wedding The ceremony was held at Dalserf Parish Church on Saturday, July 13. Their reception, at The Popinjay Hotel, was attended by 150 family and friends.
Honeymoon The newlyweds travelled around Scotland for two weeks after the wedding with the groom’s Canadian relatives. They are planning to honeymoon in 2020 with a couple of stops in America, before heading to Mexico.
Bridal party Bridesmaids were Kate Henderson and Lorna Stevenson, best man Iain Whitelaw, and ushers Michael McNeill and Scott Loecker.
Photographer Richard Craig Photography.
Videographer Media Images Videography.
Flowers Moody Cows, Carluke.
Cake Suzi Q Cakes.
Attire The bride wore a Hilary Morgan gown from Reeta’s Fashions while Iain wore Silver Highlander from Kilts 4u.
Cars Edinburgh Classic Wedding Cars.
Thanks Iain and Joanne wish to thank all their family and friends who shared their special day, along with all those who gave cards and passed on their good wishes.
A special thanks for those who travelled from Indianapolis (USA), Coldwater, Meaford and Kitchener (Canada), Southampton, Bristol and Northern Ireland.
How to take part It’s free and easy to feature as our Wedding of the Week. Just email<EMAIL_ADDRESS>for details.


Layers of Fear VR wants you to step into a spooky mansion
Coming soon to Oculus Rift and Vive
by Jordan DevoreHorror and virtual reality tend to go hand in hand, and while I've sleepwalked through some supposedly scary VR games that didn't end up being all that impactful even with an added sense of immersion, generally speaking, the genre suits the medium. When done well, everything feels higher-stakes.
Layers of Fear, a first-person adventure game about a painter's descent into literal madness, went for a slow-burning psychological approach. The original 2016 release was more atmospheric than outright spooky, but I could see that changing with virtual reality – which is happening. Bloober Team and Incuvo have announced Layers of Fear VR. It's coming soon to PC with support for Oculus Rift and HTC Vive.
The VR version promises to be more "tangibly horrifying" than its non-VR predecessor. I don't know about that, but the setting – a messy Victorian mansion that plays tricks on your mind – was Layers of Fear's high point. Exploring every last nook and cranny up close should be entertaining in its own right.
On a related note, I would've been way more into Layers of Fear 2 if it had used VR. Maybe one day.