It's really worth spending time on Normal Mode!!!
Times + Movement
same line: 0, $, ^, g_
paragraph: {, }, (, )
first line: gg
last line: G
Current Page: H, M, L
Verb + Times + Noun
yank a line: yy
cut/delete a line: dd
change a line: cc
------------------------------------------------------
paste content from: yank, cut/delete/change
paste: p, P
Consistency makes Vim easy to learn
Comparison: c, C, d, D, y, Y, p, P
Comparison: i, I, a, A, s, S, o, O
Vim is not hard but different


[source: Computer-Generated Movies, Designs and Diagrams by Ken Knowlton, Design Quarterly, No. 66/67, Design and the Computer (1966), pp. 58-63
[source: Computer-Generated Movies, Designs and Diagrams by Ken Knowlton, Design Quarterly, No. 66/67, Design and the Computer (1966), pp. 58-63
and a lot of non-technical people were interested in it
[source: EXPLOR — A Generator of Images from EXplicit Patterns, Local Operations & Randomness, Proc. 9th Annual UAIDE Mtg, Ken Knowlton, 1970]
WBT (n,p)(whites,blacks,twinkles)
WBT (1,1)(01234,56789,ABCXYZ)
(n,p) | probabilistic indictator |
|---|---|
(1,1) | always do this operation when control gets here |
(1,16) | do this one with probability 1/16 |
(4,1) | do this one every fourth time |
(8,2) | every eighth time through, flip a coin to decide |
(X,50,l) | except for the 50th, 100th, etc. times, do it |
XL (n,p)q(xlit)
e.g.
XL (2,1)3(AB,CD)
XL |
|
for each cell |
(n,p) |
(2,1) |
every other time this line is reached |
q |
3 |
about one third |
xlit |
(AB,CD) |
of all cell with value A s update to B s and C s update to D s.
|
AXL (n,p)nums,dirs,chst,q(xlit)
e.g.
AXL (1,4)234,NESW,ABCD,5(56,78)
AXL |
|
for each cell |
(n,p) |
(1,4) |
if this line is run with probability of 1/4 |
nums |
234 |
and if there are exactly 2, 3 or 4 neighbours of a cell |
dirs |
NESW |
in the NORTH , EAST , SOUTH or WEST positions
|
chst |
ABCD |
whose value is A , B , C or D
|
q(xlit) |
5(56,78) |
with the probability of 1/5, update current cell 5 s to 6 s or 7 s to 8 s
|
I'm still working on an EXPLOR implementation, come talk to me if you're interested!


Home
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{% if session.user %}
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{% endif %}


Rclone is a Go program and comes as a single binary file.
rclone
binary.rclone config
to setup. See rclone config docs for more details.See below for some expanded Linux / macOS instructions.
See the Usage section of the docs for how to use rclone, or
run rclone -h
.
Fetch and unpack
curl -O http://downloads.rclone.org/rclone-current-linux-amd64.zip
unzip rclone-current-linux-amd64.zip
cd rclone-*-linux-amd64
Copy binary file
sudo cp rclone /usr/sbin/
sudo chown root:root /usr/sbin/rclone
sudo chmod 755 /usr/sbin/rclone
Install manpage
sudo mkdir -p /usr/local/share/man/man1
sudo cp rclone.1 /usr/local/share/man/man1/
sudo mandb
Run rclone config
to setup. See rclone config docs for more details.
rclone config
Download the latest version of rclone.
cd && curl -O http://downloads.rclone.org/rclone-current-osx-amd64.zip
Unzip the download and cd to the extracted folder.
unzip -a rclone-current-osx-amd64.zip && cd rclone-*-osx-amd64
Move rclone to your $PATH. You will be prompted for your password.
sudo mv rclone /usr/local/bin/
Remove the leftover files.
cd .. && rm -rf rclone-*-osx-amd64 rclone-current-osx-amd64.zip
Run rclone config
to setup. See rclone config docs for more details.
rclone config
Make sure you have at least Go 1.5 installed.
Make sure your GOPATH
is set, then:
go get -u -v github.com/ncw/rclone
and this will build the binary in $GOPATH/bin
. If you have built
rclone before then you will want to update its dependencies first with
this
go get -u -v github.com/ncw/rclone/...
This can be done with Stefan Weichinger’s ansible role.
Instructions
git clone https://github.com/stefangweichinger/ansible-rclone.git
into your local roles-directory - hosts: rclone-hosts
roles:
- rclone


Hey there, I am Ayushi. I am a diligent individual with an aptitude for programming and a passion for technology. I recently obtained a Bachelors of Science in Computer Science from the University of Alabama at Birmgingham from which I obtained many valuable skills. On an average day, you will probably find me on my laptop learning random things. Other than that, I enjoy exploring national parks and new cities, tasting new flavors and dishes from different cuisines, and watching an assortment of movies. I believe the best way to grow is to open the mind to learn and understand every part of the seen and unseen world. The key is to stay curious.
Tell Me MoreBachelors of Science in Computer Science
3.7 GPA, Cum Laude
Vice President
• Plan and facilitate monthly events for members
• Co-manage and oversee activities and progress of committee
• Worked in a team to develop a web and mobile application using Django and Ionic that allows users to alter appliance usage in their home while informing them about changes in usage
• Implemented a historic and real-time simulation in Python that generates sensor data and user interaction with their home
• Analyzed data to provide data visualization using Chart.js to display daily, weekly, and monthly usage data of power, water and hvac
Computer Science Tutor
• Specialized for the following courses: Introduction to Computation, Object Oriented Programming, Algorithms and Data Structures
• Held weekly office hours to assist students with understanding important concepts related to course material
• Collaborated in a team to develop a web application using the LAMP stack and Flask that allows users to view the trading market of items wishing to be sold and bought for a role-playing game called Path of Exile
• Utilized AJAX to update the market
• Incorporated user registration to save and load favorite trades
Math and Science Tutor
• Aided students of all backgrounds to grasp difficult concepts in subjects of calculus, linear algebra, and trigonometry


title=Halfsteps on the Tapestry Archetype; Gmail's Down! date=2007-02-28 type=post tags=blog status=published ~~~~~~
Gmail is down, and Iâve not been able to access it with any sort of consistency for hours. What am I missing? Whatâs wrong? This has happened to me before, but never for this duration
That aside, I've deployed updates to the Tapestry 4.1 Maven archetype, and partly updated the documentation. An order of magnitude better, to be sure, but there remains much more to be done...


--- layout: page permalink: "/community-commissioned/turtle-song/turtle-song001.html" ---
previous | next


Source code for dials.framework.interface
#!/usr/bin/env python
#
# plugin.py
#
# Copyright (C) 2013 Diamond Light Source
#
# Author: James Parkhurst
#
# This code is distributed under the BSD license, a copy of which is
# included in the root directory of this package.
from __future__ import absolute_import, division
from abc import ABCMeta, abstractmethod # implicit import
[docs]class Interface(object):
''' The interface base class.
Interfaces can be defined for automatic registration by inheriting from this
class.
'''
__metaclass__ = InterfaceMeta
# Dummy attribute
name = ''
@classmethod
[docs] def extension(cls, name):
''' Get the requested extension class by name.
:param name: The name of the extension
:returns: The extension class
'''
choices = dict((ex.name, ex) for ex in cls.extensions())
return choices[name]
@classmethod
[docs] def extensions(cls):
''' Iterate through the extensions
:returns: An iterator which loops through the list of extensions.
'''
# Check the given class is an interface
if cls == Interface:
raise RuntimeError('"Interface" has no extensions')
elif Interface not in cls.__bases__:
raise RuntimeError('%s is not an interface' % str(cls))
# Get all the subclasses
stack = list(cls.__subclasses__())
while stack:
cls = stack.pop()
yield cls
stack.extend(cls.__subclasses__())
@staticmethod
[docs] def interfaces():
''' Iterate through the interfaces.
:returns: An iterator which loops through all the defined interfaces.
'''
for iface in Interface.__subclasses__():
yield iface
@classmethod
[docs] def phil_scope(cls):
''' Get the phil scope for the interface or extension.
:returns: The phil scope for the interface or extension
'''
from libtbx.phil import parse
if cls == Interface:
raise RuntimeError('"Interface has no phil parameters"')
elif not issubclass(cls, Interface):
raise RuntimeError('%s is not an interface or extension' % str(cls))
if Interface in cls.__bases__:
doc = '\n'.join('"%s"' % d for d in cls.__doc__)
master_scope = parse('%s .help=%s {}' % (cls.name, doc))
main_scope = master_scope.get_without_substitution(cls.name)
assert(len(main_scope) == 1)
main_scope = main_scope[0]
if 'phil' in cls.__dict__:
main_scope.adopt_scope(cls.phil())
if Interface in cls.__bases__:
def ext_names(extensions):
names = []
default_index = -1
for ext in extensions:
if 'default' in ext.__dict__:
default_index = len(names)
names.append(ext.name)
if default_index < 0:
default_index = 0
if names:
names[default_index] = '*' + names[default_index]
return names
exts = list(cls.extensions())
if exts:
algorithm = parse('''
algorithm = %s
.help = "The choice of algorithm"
.type = choice
''' % ' '.join(ext_names(exts)))
main_scope.adopt_scope(algorithm)
for ext in exts:
main_scope.adopt_scope(ext.phil_scope())
else:
if 'phil' in cls.__dict__:
help_str = '\n'.join(['"%s"' % line for line in cls.__doc__.split()])
master_scope = parse('%s .help=%s {}' % (cls.name, help_str))
main_scope = master_scope.get_without_substitution(cls.name)
assert(len(main_scope) == 1)
main_scope = main_scope[0]
main_scope.adopt_scope(cls.phil())
else:
master_scope = parse('')
return master_scope


Item based collaborative filtering
- algorithms for recommendations
- 2 movies seen together might be similar in someway
- can be used further for providing recommendations
Item based collaborative filtering
- Find every pair of movies that were watched by the same personMeasure the similarity of their ratings across all users who
- Measure the similarity of their ratings across all users who watched both
- Sort by movie, then by similarity strength
Item based collaborative filtering
Making it a spark problem
- Map input ratings to (userlD, (movielD, rating))
- Find every movie pair rated by the same user
- This can be done with a "self-join" operation
- At this point we have (userlD, ((movielD1, ratingl), (movielD2, rating2)))
- Filter out duplicate pairs
- Make the movie pairs the key
- map to ((movielD1, movielD2), (ratingl, rating2))
- groupByKey() to get every rating pair found for each movie pair
- Compute similarity between ratings for each movie in the pair
- Sort, save, and display results.
Caching RDD
- In this example, we'll query the final RDD of movie similarities a
couple of times
- Any time you will perform more than one action on an RDD, you
must cache it!
Otherwise, Spark might re-evaluate the entire RDD all over again!
- Use .cache() or .persist() to do this.
- What's the difference?.
- Persist() optionally lets you cache it to disk instead of just memory,
just in case a node fails or something.


ezcBaseStruct
|
+--ezcBaseRepositoryDirectory
public class ezcBaseRepositoryDirectory
extends ezcBaseStruct
| Field Summary | |
|---|---|
| final mixed | Specifies that the entry is for an external (user defined) repository. |
| final mixed | Specifies that the entry is for the eZ Components repository. |
| string | The path to the autoload files. |
| string | The path to the configured repository. |
| string | The $type is one of the two TYPE_* constants defined in this class. |
| Constructor Summary | |
|---|---|
ezcBaseRepositoryDirectory(string type, string basePath, string autoloadPath) Constructs a new ezcBaseRepositoryDirectory of type $type with base path $basePath and autoload path $autoloadPath. |
| Method Summary | |
|---|---|
| static ezcBaseRepositoryDirectory | __set_state(array(string=>mixed) array) Returns a new instance of this class with the data specified by $array. |
| Methods inherited from Base.ezcBaseStruct | |
|---|---|
| __get, __set |
public final mixed TYPE_EXTERNAL = 1
Specifies that the entry is for an external (user defined) repository. /
public final mixed $TYPE_INTERNAL
Specifies that the entry is for the eZ Components repository. /
public string $autoloadPath
The path to the autoload files.
public string $basePath
The path to the configured repository.
public string $type
The $type is one of the two TYPE_* constants defined in this class.
public ezcBaseRepositoryDirectory(string type, string basePath, string autoloadPath)
Constructs a new ezcBaseRepositoryDirectory of type $type with base path $basePath and autoload path $autoloadPath.
public static ezcBaseRepositoryDirectory __set_state(array(string=>mixed) array)
Returns a new instance of this class with the data specified by $array. $array contains all the data members of this class in the form: array('member_name'=>value). __set_state makes this class exportable with var_export. var_export() generates code, that calls this method when it is parsed with PHP.
Struct which defines a repository directory.


| DOSE: |
|
inhaled |
Ether |
(liquid) |
[Erowid Warning: The “water extraction” method is ineffective in separating diethyl ether from the volatile hydrocarbon liquids/gases in “starter fluid”. Our understanding of the literature is that there is no such thing as safe use of volatile hydrocarbon gases: their psychoactive effects are inseparable from nerve and organ damage.]
I first experienced ether at a friend's house. I was already very high on weed at the time, however, and the only effects I felt were a mild alcohol-like intoxication.
I became curious again a few weeks later, so I separated some started fluid in a glass jar, dipped in the corner of a rag, and placed it over my face. After the first breath, I only noticed the chemical taste of the ether and a mild head rush. after the second, I felt more light headed. After that, I took several more breaths and took the rag off of my face. For the Rest of the night (max 90 min.) I was disoriented and light headed, and also extremely apathetic. At one point, I heard my girlfriend's ring-tone on my cell phone at least 3 times, and did not feel the usual desire to speak with her. This is unusual, even when smoking cannabis, I always feel like talking with her. I fell asleep while still under the effects.
The next night, I decided to repeat the procedure, but prepare better. I soaked the rag more heavily this time, and I did not take the rag off until I was certain if I took another breath I would not be able to move my arms to remove it.
This experience was amazing. At first I felt as though I was falling into my bed, but this gradually changed into a feeling of falling into myself. I saw reality, in the form of my field of vision, start to spiral off into the distance. I was scared at this, and successfully regained my real field of vision, briefly. Soon, I saw everything spiraling off again, and this time I was powerless to stop it. I was there in blackness for awhile, and remember wondering if I would ever go back to my room. However, this time, I was not scared at all: I didn't have a preference in where I stayed. Soon after, I realized that my eyes were closed and opened them. Everything was very grainy for the next few minutes as I was coming down, and when things were finally starting to come into focus, I let myself fall asleep.
Overall, it was a very pleasant experience for me to be able to just watch the real world leave for awhile. I have done ether since, but never with such pronounced effects.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


The balance of this wallet is zero. You must deposit some funds before you can activate staking.
CurrentBlockSize: {{wallet.stakingInfo.currentBlockSize}}
CurrentBlockTx: {{wallet.stakingInfo.currentBlockTx}}
PooledTx: {{wallet.stakingInfo.pooledTx}}
Difficulty: {{wallet.stakingInfo.difficulty}}
Search interval: {{wallet.stakingInfo.searchInterval}}
Errors: {{wallet.stakingInfo.errors}}


Heat a large non-stick frying pan or wok until hot.
Add half of the lamb chunks and sear on all sides, until brown all over. When nicely browned, remove the lamb and add approximately 100ml/3½fl oz chicken stock.
Stir to remove any sediment from the bottom of the pan. Pour out and reserve.
Repeat this process for the remaining meat.
Return the pan to the heat and add the olive oil. When hot add the onion and fry gently for approximately ten minutes, or until golden.
Add the garlic and fry for a further two minutes. Add the ground spices to the pan and fry for a further minute.
Add the reserved meat and the remaining tagine ingredients, including the stock. Bring to the boil, cover and simmer very gently for approximately two hours or until the meat is meltingly tender.
Combine all the relish ingredients in a bowl. Sprinkle the pine nuts over the tagine and serve with the relish.


| MPI_FILE_GET_GROUP(fh, group) | |
| IN fh | file handle (handle) |
| OUT group | group which opened the file (handle) |
int MPI_File_get_group(MPI_File fh, MPI_Group *group)
MPI_FILE_GET_GROUP(FH, GROUP, IERROR)
INTEGER FH, GROUP, IERROR
MPI::Group MPI::File::Get_group() const
MPI_FILE_GET_GROUP returns a duplicate of the group of the communicator used to open the file associated with fh. The group is returned in group. The user is responsible for freeing group.
| MPI_FILE_GET_AMODE(fh, amode) | |
| IN fh | file handle (handle) |
| OUT amode | file access mode used to open the file (integer) |
int MPI_File_get_amode(MPI_File fh, int *amode)
MPI_FILE_GET_AMODE(FH, AMODE, IERROR)
INTEGER FH, AMODE, IERROR
int MPI::File::Get_amode() const
MPI_FILE_GET_AMODE returns, in amode, the access mode of the file associated with fh.
Example
In Fortran 77, decoding an amode bit vector will
require a routine such as the following:
SUBROUTINE BIT_QUERY(TEST_BIT, MAX_BIT, AMODE, BIT_FOUND) ! ! TEST IF THE INPUT TEST_BIT IS SET IN THE INPUT AMODE ! IF SET, RETURN 1 IN BIT_FOUND, 0 OTHERWISE ! INTEGER TEST_BIT, AMODE, BIT_FOUND, CP_AMODE, HIFOUND BIT_FOUND = 0 CP_AMODE = AMODE 100 CONTINUE LBIT = 0 HIFOUND = 0 DO 20 L = MAX_BIT, 0, -1 MATCHER = 2**L IF (CP_AMODE .GE. MATCHER .AND. HIFOUND .EQ. 0) THEN HIFOUND = 1 LBIT = MATCHER CP_AMODE = CP_AMODE - MATCHER END IF 20 CONTINUE IF (HIFOUND .EQ. 1 .AND. LBIT .EQ. TEST_BIT) BIT_FOUND = 1 IF (BIT_FOUND .EQ. 0 .AND. HIFOUND .EQ. 1 .AND. & CP_AMODE .GT. 0) GO TO 100 END
This routine could be called successively to decode amode, one bit at a time. For example, the following code fragment would check for MPI_MODE_RDONLY.
CALL BIT_QUERY(MPI_MODE_RDONLY, 30, AMODE, BIT_FOUND) IF (BIT_FOUND .EQ. 1) THEN PRINT *, ' FOUND READ-ONLY BIT IN AMODE=', AMODE ELSE PRINT *, ' READ-ONLY BIT NOT FOUND IN AMODE=', AMODE END IF


#include <PxSolverDefs.h>
|
| static const PxU16 | NO_LINK = 0xffff |
| |
◆ ConstraintType
| Enumerator |
|---|
| eCONTACT_CONSTRAINT | Defines this pair is a contact constraint.
|
| eJOINT_CONSTRAINT | Defines this pair is a joint constraint.
|
◆ @10
◆ @8
◆ articulationA
| Dy::ArticulationV* PxSolverConstraintDesc::articulationA |
Articulation pointer for body A.
◆ articulationB
| Dy::ArticulationV* PxSolverConstraintDesc::articulationB |
Articulation pointer for body B.
◆ bodyA
◆ bodyADataIndex
| PxU32 PxSolverConstraintDesc::bodyADataIndex |
Body A's index into the SolverBodyData array.
◆ bodyB
◆ bodyBDataIndex
| PxU32 PxSolverConstraintDesc::bodyBDataIndex |
Body B's index into the SolverBodyData array.
◆ constraint
| PxU8* PxSolverConstraintDesc::constraint |
Pointer to the constraint rows to be solved.
◆ constraintLengthOver16
| PxU16 PxSolverConstraintDesc::constraintLengthOver16 |
◆ linkIndexA
| PxU16 PxSolverConstraintDesc::linkIndexA |
Link index defining which link in Articulation A this constraint affects. If not an articulation, must be NO_LINK.
◆ linkIndexB
| PxU16 PxSolverConstraintDesc::linkIndexB |
Link index defining which link in Articulation B this constraint affects. If not an articulation, must be NO_LINK.
◆ NO_LINK
| const PxU16 PxSolverConstraintDesc::NO_LINK = 0xffff |
|
static |
◆ tgsBodyA
◆ tgsBodyB
◆ writeBack
| void* PxSolverConstraintDesc::writeBack |
Pointer to the writeback structure results for this given constraint are to be written to.
◆ writeBackLengthOver4
| PxU16 PxSolverConstraintDesc::writeBackLengthOver4 |
The documentation for this struct was generated from the following file:


apiVersion: v1 kind: Pod # information about the pod itself metadata: name: nginx-pod labels: role: frontend # specification for the pod spec: containers: # specification for the first container in the pod - name: nginx-container image: nginx ports: - containerPort: 80
{{controller.getPodJSON() | json}}


WITNESS LIST Environmental Regulation Committee April 15, 1997-2:00P HB 1426 On: Ratliff, Richard (Tx. Dept. of Health) HB 1738 For: McClendon, Rep. (herself) On: McKinney, Paula J. (Tx. Dept. of Health) Zarker, Ken (TNRCC) HB 3006 For: Masterson, Glenn (USA Waste Svcs., Inc.) Mowrey, Rep. (herself) Rentz, Rebecca (Harris Co. Comm. Crt.) Against: Dow, Robert (himself) Lynde, Zachary H. (Austin Wood Recycling) On: Neblett, Andrew (TNRCC) Pound, Dale A. (TNRCC) HB 3019 For: Miksa, Mary (TABCC) Seabree, Ben (TMOGA) On: Smith, Ivan George (Sierra Club (volunteer)) HB 3111 For: David, Allen (State Safety Inspection) Madden, Rep. (himself) Martin, Janet (herself) Nowels, Michael (Tx. St. Inspection Assn) Prifogle, Hugh (Auto Svc. Assn.) Against: Fisher, Jon (Texas Chemical Council) Miksa, Mary (TABCC) On: Smith, Ricky (Tx. DPS) Steib, John (TNRCC) Registering, but not testifying: Against: Kramer, Ken (Sierra Club) HB 3164 On: Larson, Bob (TNRCC) Williams, Barry (TNRCC) HB 3192 For: Stewart, Mike (Tx Agg & Concrete Assn) Turney, John (Tx Agg & Concrete Assn) Against: Henry, Stuart N. (CLEAN) Smith, I.G. (Sierra Club (volunteer)) On: Saitas, Jeff (TNRCC) HB 3322 For: Fisher, Jon (Texas Chemical Council) Miksa, Mary (TABCC) Seabree, Ben (TMOGA) Against: Kramer, Ken (Sierra Club) On: Neblett, Andrew (TNRCC) HB 3510 For: Nowels, Michael (Tx St. Inspection Assn) HCR 161 For: Hinojosa, Rep. (himself) On: Baier, Russ (TNRCC) Lester, Jim (Env Instit. of Houston) Registering, but not testifying: For: Smith, Tom "Smitty" (Public Citizen) SB 843 For: Cuellar, Rep. (himself)


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--- layout: post title: "Laniakea@ReCaS becomes an EOSC Provider" subtitle: "The service has been successfully added to EOSC marketplace." date: 2020-02-28 012:00:00 -0400 background: '/img/eoscmp_banner.png' ---
Laniakea@ReCaS is now a European Open Science Cloud provider, thus opening the service to all EOSC users.
The service is available in the EOSC Marketplace here.


The Umbrella Today Android app is copyright 2011 Boston Android Developers Group.
The first Android project was lead by Matt Horan with help from Mike Burns and the rest of the Boston Android developers group.
This version is a rewrite done in Scala, with the Positronic Net library, by Robert Thau.
The original Umbrella Today is copyright 2011 thoughtbot.
Icons by the Tango Desktop Project and by Androidicons.
Source code licensed under the BSD 3-clause license, available on Github.


Once I left high school to play basketball in college things became increasingly difficult. The biggest change is the time management and things that are asked of you as a college athlete. Ones my priorities are challenge day in and day out.
Here is a link with the information about the Lewis Mens Basketball team.
Below is an overview of the teams success in my time here:
| Lewis Mens Basketball record | ||
|---|---|---|
| Year | Wins | Losses |
| Freshman Year | 15 | 14 |
| Sophomore Year | 25 | 6 |
| Junior Year | 13 | 15 |


158_im_dumb_af.py
class Solution:
def countSubgraphsForEachDiameter(self, n: int, edges: List[List[int]]) -> List[int]:
for i in range(len(edges)):
edges[i][0] -= 1
edges[i][1] -= 1
dist = [[float('inf') for _ in range(n)] for __ in range(n)]
track = collections.defaultdict(list)
for i, j in edges:
track[i].append(j)
track[j].append(i)
for i in range(n):
q = collections.deque()
visited = set()
q.append((i, 0))
while q:
node, cost = q.popleft()
if node in visited: continue
visited.add(node)
dist[i][node] = cost
for nei in track[node]:
q.append((nei, cost+1))
subsets = collections.deque()
for i in range(n):
for nei in track[i]:
mask = (1 << i) | (1 << nei)
subsets.append(mask)
ans = [0] * (n-1)
visited = set()
while subsets:
mask = subsets.popleft()
if mask in visited: continue
visited.add(mask)
present = []
for i in range(n):
if mask & (1<<i): present.append(i)
m = 0
for n1 in present:
for n2 in present:
m = max(m, dist[n1][n2])
ans[m-1] += 1
for node in present:
for nei in track[node]:
subsets.append(mask | (1<<nei))
return ans


Ethereum - Find Contract Creator
Find the creator of an Ethereum contract
Find Creator »
Block
Creator
Created by
Shawn Tabrizi
- Source on
GitHub
- Using
Web3.js


Doobie Brothers reunite with McDonald for 50th anniversary tour
Reunion comes after almost 25 years
by Lisa Respers France, CNN(CNN) - The Doobie Brothers are "Takin' It To The Streets" again.
The classic band has announced a tour which will include their former frontman, Michael McDonald.
Members Tom Johnston, Patrick Simmons and John McFee have continued to perform together as the Doobie Brothers for years and last month announced a Las Vegas residency in February 2020.
But it will be the first time in almost 25 years that McDonald will be touring with them as well, and it's all in honor of the band's 50th anniversary.
Known for such hits as "What a Fool Believes" and "Minute by Minute" the group announced the new tour on Monday during a concert at the Ryman Auditorium in Nashville.
The 30-city tour will start on June 9 in West Palm Beach, Florida, and wrap up on Oct. 10 in Houston.
Tickets go on sale for the general public at Live Nation at 10 a.m. on Dec. 6.


Goals
The main goals for Week 5 are to:
- Understand what a complexity class is and how to provide properties about circuit-size complexity classes.
- Learn the asymptotic operators (Big-O, Ω, and Θ) and how to use them correctly.
- Be able to both intuitively understand what functions are in O(f(n)), and to prove membership or non-membership.
- Be able to connect the formal definitions of computing costs to practical questions about the cost of computing.
Schedule
The schedule is identical to previous weeks, and repeated here (with updated dates).
| Day | "Tuesday" Cohort | "Wednesday" Cohort | "Thursday" Cohort | "Friday" Cohort | "Sunday" Cohort | "Monday" Cohort |
|---|---|---|---|---|---|---|
| Wed 23 Sep | Preparation | (Week 4) | (Week 4) | (Week 4) | (Week 4) | (Week 4) |
| Thu 24 Sep | Preparation | Preparation | (Week 4) | (Week 4) | (Week 4) | (Week 4) |
| Fri 25 Sep | Preparation | Preparation | Preparation | (Week 4) | (Week 4) | (Week 4) |
| Sat/Sun 26/27 Sep | Cohort Meeting | Preparation | Preparation | Preparation | (Week 4) | (Week 4) |
| Mon 28 Sep | Preparation | Cohort Meeting | Preparation | Preparation | Preparation | (Week 4) |
| Tue 29 Sep | Assessed Cohort Meeting | Preparation | Cohort Meeting | Preparation | Preparation | Preparation |
| Wed 30 Sep | Write-up Due | Assessed Cohort Meeting | Preparation | Cohort Meeting | Preparation | Preparation |
| Thu 1 Oct | Week 6 | Write-up Due | Assessed Cohort Meeting | Preparation | Cohort Meeting | Preparation |
| Fri 2 Oct | Week 6 | Week 6 | Write-up Due | Assessed Cohort Meeting | Preparation | Cohort Meeting |
| Sat/Sun 3/4 Oct | Week 6 | Week 6 | Week 6 | Write-up Due | Assessed Cohort Meeting | Preparation |
| Mon 5 Oct | Week 6 | Week 6 | Week 6 | Week 6 | Write-up Due | Assessed Cohort Meeting |
| Tue 6 Oct | Week 6 | Week 6 | Week 6 | Week 6 | Week 6 | Write-up Due |
Cohort Problems
These are the problems you should discuss in your Cohort Meeting, and everyone in your cohort should be prepared to present and discuss solutions to at the Assessed Cohort Meeting:
Cohort Problems for Week 5 [PDF]
The problems are posted here and we think its a good idea to look at them early, but you’re not expected to be able to solve them until after doing the readings and watching the videos below.
After the Assessed Cohort Meeting, your Cohort Leader will select one problem that your cohort needs to write-up and submit. The write-up is due by 11:59pm on the day after your assessed cohort meeting (see the schedule above).
Reading
This week focuses on material in Chapter 5: Code as data, data as code from the TCS textbook (which you already read last week, but we go into more depth on this week). The main theorems we focus on are in Section 5.2.
The TCS book does not provide a detailed presentation of the asymptotic operators, but reviews them in Section 1.4.8. Many books provide more detailed presentations of these concepts, and lots of examples. If you would like a more complex textbook explanation, the course instructors (at least one of them!) recommends this chapter: Chapter 7: Cost (from Introduction to Computing Explorations in Language, Logic, and Machines).
Videos
You can play all the videos using this playlist, but don’t forget to take breaks: Week 5 Playlist
These videos are edited from these cs3102 classes (we don't generally recommend watching the unedited versions, but they are available if you want to):
- (Spring 2020) Feb 13: Complexity - Full Video, Slides
- (Fall 2019) Class 11: Cost and Counting - Full Video, Slides
We don’t have exams this semester, but adventurous students may find the exam review from Fall 2019 useful (we may include some clips from this in a future class).
Introducing Complexity (8:02)
Complexity Classes: SIZE (6:19)
First Complexity Proof (4:39)
Asympototic Operators (7:05)
Using Big-O (Theorem 5.2) (4:51)
Understanding 𝑂, Ω, and Θ (7:20)
Big-O Examples (5:35)
Common Misuses of Asymptotic Notation (5:52)
Some Functions are Expensive (7:35)
Cost of Computing (5:02)


UD for Umbrian
Introduction
Umbrian is an Indo-European language of the Italic branch. As such it shares a number of characteristics with classical IE languages and especially with Latin. The main similarities between Umbrian and Latin are their declension and conjugation systems. The main difference, beside phonology, is the extendisve use of cliticised postpositions in Umbrian where Latin has plain prepositions.
Tokenization and Word Segmentation
The Iguvine tablets use a word separator to (: in the Umbrian script and ⋅ in the Latin script). We thus follow native word segmentation as much as possible. The main exceptions are :
- when the original segmentation itself is erroneous (e.g. pesni:mu for pesnimu on tablet II face b);
- cliticised adpositions that we decided to separate from their host (e.g. the ubiquitous tutaper is analysed as tuta per).
Morphology
Tags
PUNCT
is not used in Umbrian (note that there are word boundaries in the original text but no sentence boundaries).
Features
NOUN
,PRON
,PROPN
,ADJ
, andDET
are marked withCase
andNumber
, andGender
when it is known.VERB
is marked withVerbForm
, andTense
,Mood
,Person
,Number
orCase
,Gender
,Number
depending on the finiteness of the form. ** Note that verbs have a future perfect form which comes from a very reduced periphrastic construction. Until we find a better solution, we decided to useAspect=Per
in conjunction withTense=Fut
for these cases.
Syntax
- Core arguments are identified with case (
Nom
andAcc
) and in absence of case triggering adposition (rupinam-e isobl
even if rupinam isAcc
because of the adposition e).
Treebanks
There are 1 Umbrian UD treebanks:


Fameye Tears Into Awal For Saying He ‘Chopped’ His ¢500
by Ghbase New WriterFameye has torn Awal into shreds for badmouthing him recently when he said he took away his ¢500 for a no-show for their music video.
Few days ago, Awal revealed the ‘Nothing I Get’ hit maker charged him the said amount to shoot a music video with him but failed to honour his part of the bargain when he got the money.
Fameye has responded in a brutal fashion, calling a Awal a ‘Talented Kid’ who does not deserve his attention.

Fameye, whose interview was captured by Nkosuo TV, said he does not want to talk about the Awal issue because he has no dealings with him whatsoever.
He then concluded by saying he has not any money from Awal and that the ‘small boy’ is just eager for fame.


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Graphitti
A toolkit/software architecture to ease creating high-performance neural network simulators
|
Public Member Functions | |
| virtual void | setupVertices () override |
| Setup the internal structure of the class (allocate memories). More... | |
| virtual void | printParameters () const override |
| Public Member Functions inherited from IAllVertices | |
| virtual void | loadParameters ()=0 |
| virtual void | createAllVertices (Layout *layout)=0 |
| virtual string | toString (const int i) const =0 |
| virtual void | advanceVertices (AllEdges &edges, const EdgeIndexMap *edgeIndexMap)=0 |
Public Attributes | |
| BGFLOAT * | summationMap_ |
Protected Attributes | |
| int | size_ |
| Total number of vertices. | |
| log4cplus::Logger | fileLogger_ |
| log4cplus::Logger | vertexLogger_ |
Definition at line 32 of file AllVertices.h.
|
overridevirtual |
Prints out all parameters of the neurons to logging file. Registered to OperationManager as Operation::printParameters
Prints out all parameters of the vertices to logging file. Registered to OperationManager as Operation::printParameters
Implements IAllVertices.
Reimplemented in All911Vertices, AllLIFNeurons, AllIZHNeurons, and AllIFNeurons.
Definition at line 53 of file AllVertices.cpp.
|
overridevirtual |
Setup the internal structure of the class (allocate memories).
Setup the internal structure of the class. Allocate memories to store all neurons' state.
Implements IAllVertices.
Reimplemented in AllSpikingNeurons, AllIZHNeurons, AllIFNeurons, and All911Vertices.
Definition at line 40 of file AllVertices.cpp.
| BGFLOAT* AllVertices::summationMap_ |
The summation point for each vertex. Summation points are places where the synapses connected to the vertex apply (summed up) their PSRs (Post-Synaptic-Response). On the next advance cycle, vertices add the values stored in their corresponding summation points to their Vm and resets the summation points to zero
Definition at line 51 of file AllVertices.h.


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Class: ActionDispatch::Routing::Mapper::Constraints
Do not use. This class is for internal use only.
| Relationships & Source Files | |
| Super Chains via Extension / Inclusion / Inheritance | |
|
Class Chain:
|
|
|
Instance Chain:
|
|
| Inherits: |
ActionDispatch::Routing::Endpoint
|
| Defined in: | actionpack/lib/action_dispatch/routing/mapper.rb |
Constant Summary
-
CALL =
# File 'actionpack/lib/action_dispatch/routing/mapper.rb', line 22->(app, req) { app.call req.env }
-
SERVE =
# File 'actionpack/lib/action_dispatch/routing/mapper.rb', line 21->(app, req) { app.serve req }
Class Method Summary
- .new(app, constraints, strategy) ⇒ Constraints constructor
Instance Attribute Summary
- #app readonly
- #constraints readonly
- #dispatcher? ⇒ Boolean readonly
::ActionDispatch::Routing::Endpoint
- Inherited
Instance Method Summary
::ActionDispatch::Routing::Endpoint
- Inherited
Constructor Details
.new(app, constraints, strategy) ⇒ Constraints
# File 'actionpack/lib/action_dispatch/routing/mapper.rb', line 24
def initialize(app, constraints, strategy) # Unwrap Constraints objects. I don't actually think it's possible # to pass a Constraints object to this constructor, but there were # multiple places that kept testing children of this object. I # *think* they were just being defensive, but I have no idea. if app.is_a?(self.class) constraints += app.constraints app = app.app end @strategy = strategy @app, @constraints, = app, constraints end
Instance Attribute Details
#app (readonly)
[ GitHub ]# File 'actionpack/lib/action_dispatch/routing/mapper.rb', line 19
attr_reader :app, :constraints
#constraints (readonly)
[ GitHub ]# File 'actionpack/lib/action_dispatch/routing/mapper.rb', line 19
attr_reader :app, :constraints
#dispatcher? ⇒ Boolean
(readonly)
[ GitHub ]
# File 'actionpack/lib/action_dispatch/routing/mapper.rb', line 39
def dispatcher?; @strategy == SERVE; end
Instance Method Details
#constraint_args(constraint, request) (private)
[ GitHub ]# File 'actionpack/lib/action_dispatch/routing/mapper.rb', line 55
def constraint_args(constraint, request) arity = if constraint.respond_to?(:arity) constraint.arity else constraint.method(:call).arity end if arity < 1 [] elsif arity == 1 [request] else [request.path_parameters, request] end end
#matches?(req) ⇒ Boolean
# File 'actionpack/lib/action_dispatch/routing/mapper.rb', line 41
def matches?(req) @constraints.all? do |constraint| (constraint.respond_to?(:matches?) && constraint.matches?(req)) || (constraint.respond_to?(:call) && constraint.call(*constraint_args(constraint, req))) end end


001/* 002 * Licensed to the Apache Software Foundation (ASF) under one 003 * or more contributor license agreements. See the NOTICE file 004 * distributed with this work for additional information 005 * regarding copyright ownership. The ASF licenses this file 006 * to you under the Apache License, Version 2.0 (the 007 * "License"); you may not use this file except in compliance 008 * with the License. You may obtain a copy of the License at 009 * 010 * http://www.apache.org/licenses/LICENSE-2.0 011 * 012 * Unless required by applicable law or agreed to in writing, 013 * software distributed under the License is distributed on an 014 * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY 015 * KIND, either express or implied. See the License for the 016 * specific language governing permissions and limitations 017 * under the License. 018 */ 019package org.apache.shiro.authc.credential; 020 021import org.apache.shiro.authc.AuthenticationInfo; 022import org.apache.shiro.authc.AuthenticationToken; 023import org.apache.shiro.codec.CodecSupport; 024import org.slf4j.Logger; 025import org.slf4j.LoggerFactory; 026 027import java.security.MessageDigest; 028import java.util.Arrays; 029 030 031/** 032 * Simple CredentialsMatcher implementation. Supports direct (plain) comparison for credentials of type 033 * byte[], char[], and Strings, and if the arguments do not match these types, then reverts back to simple 034 * Object.equals comparison. 035 *
 036 *
Hashing comparisons (the most common technique used in secure applications) are not supported by this class, but 037 * instead by the {@link org.apache.shiro.authc.credential.HashedCredentialsMatcher HashedCredentialsMatcher}. 038 * 039 * @see org.apache.shiro.authc.credential.HashedCredentialsMatcher 040 * @since 0.9 041 */ 042public class SimpleCredentialsMatcher extends CodecSupport implements CredentialsMatcher { 043 044 private static final Logger log = LoggerFactory.getLogger(SimpleCredentialsMatcher.class); 045 046 /** 047 * Returns the {@code token}'s credentials. 048 *
 049 *
This default implementation merely returns 050 * {@link AuthenticationToken#getCredentials() authenticationToken.getCredentials()} and exists as a template hook 051 * if subclasses wish to obtain the credentials in a different way or convert them to a different format before 052 * returning. 053 * 054 * @param token the {@code AuthenticationToken} submitted during the authentication attempt. 055 * @return the {@code token}'s associated credentials. 056 */ 057 protected Object getCredentials(AuthenticationToken token) { 058 return token.getCredentials(); 059 } 060 061 /** 062 * Returns the {@code account}'s credentials. 063 *
 064 *
This default implementation merely returns 065 * {@link AuthenticationInfo#getCredentials() account.getCredentials()} and exists as a template hook if subclasses 066 * wish to obtain the credentials in a different way or convert them to a different format before 067 * returning. 068 * 069 * @param info the {@code AuthenticationInfo} stored in the data store to be compared against the submitted authentication 070 * token's credentials. 071 * @return the {@code account}'s associated credentials. 072 */ 073 protected Object getCredentials(AuthenticationInfo info) { 074 return info.getCredentials(); 075 } 076 077 /** 078 * Returns {@code true} if the {@code tokenCredentials} argument is logically equal to the 079 * {@code accountCredentials} argument. 080 *
 081 *
If both arguments are either a byte array (byte[]), char array (char[]) or String, they will be both be 082 * converted to raw byte arrays via the {@link #toBytes toBytes} method first, and then resulting byte arrays 083 * are compared via {@link Arrays#equals(byte[], byte[]) Arrays.equals(byte[],byte[])}.
 084 *
 085 *
If either argument cannot be converted to a byte array as described, a simple Object equals 086 * comparison is made.
 087 *
 088 *
Subclasses should override this method for more explicit equality checks. 089 * 090 * @param tokenCredentials the {@code AuthenticationToken}'s associated credentials. 091 * @param accountCredentials the {@code AuthenticationInfo}'s stored credentials. 092 * @return {@code true} if the {@code tokenCredentials} are equal to the {@code accountCredentials}. 093 */ 094 protected boolean equals(Object tokenCredentials, Object accountCredentials) { 095 if (log.isDebugEnabled()) { 096 log.debug("Performing credentials equality check for tokenCredentials of type [" + 097 tokenCredentials.getClass().getName() + " and accountCredentials of type [" + 098 accountCredentials.getClass().getName() + "]"); 099 } 100 if (isByteSource(tokenCredentials) && isByteSource(accountCredentials)) { 101 if (log.isDebugEnabled()) { 102 log.debug("Both credentials arguments can be easily converted to byte arrays. Performing " + 103 "array equals comparison"); 104 } 105 byte[] tokenBytes = toBytes(tokenCredentials); 106 byte[] accountBytes = toBytes(accountCredentials); 107 return MessageDigest.isEqual(tokenBytes, accountBytes); 108 } else { 109 return accountCredentials.equals(tokenCredentials); 110 } 111 } 112 113 /** 114 * This implementation acquires the {@code token}'s credentials 115 * (via {@link #getCredentials(AuthenticationToken) getCredentials(token)}) 116 * and then the {@code account}'s credentials 117 * (via {@link #getCredentials(org.apache.shiro.authc.AuthenticationInfo) getCredentials(account)}) and then passes both of 118 * them to the {@link #equals(Object,Object) equals(tokenCredentials, accountCredentials)} method for equality 119 * comparison. 120 * 121 * @param token the {@code AuthenticationToken} submitted during the authentication attempt. 122 * @param info the {@code AuthenticationInfo} stored in the system matching the token principal. 123 * @return {@code true} if the provided token credentials are equal to the stored account credentials, 124 * {@code false} otherwise 125 */ 126 public boolean doCredentialsMatch(AuthenticationToken token, AuthenticationInfo info) { 127 Object tokenCredentials = getCredentials(token); 128 Object accountCredentials = getCredentials(info); 129 return equals(tokenCredentials, accountCredentials); 130 } 131 132}


The following predefined operations are supplied for MPI_REDUCE and related functions MPI_ALLREDUCE, MPI_REDUCE_SCATTER_BLOCK, MPI_REDUCE_SCATTER, MPI_SCAN, MPI_EXSCAN, all nonblocking variants of those (see Section Nonblocking Collective Operations ), and MPI_REDUCE_LOCAL. These operations are invoked by placing the following in op.
The two operations MPI_MINLOC and MPI_MAXLOC are discussed separately in Section MINLOC and MAXLOC . For the other predefined operations, we enumerate below the allowed combinations of op and datatype arguments. First, define groups of MPI basic datatypes in the following way.
Now, the valid datatypes for each operation are specified below.
These operations together with all listed datatypes are valid in all supported programming languages, see also Reduce Operations in Section MPI Opaque Objects .
The following examples use intracommunicators.
Example
A routine that computes
the dot product of two vectors that are distributed across a
group of processes and returns the answer at node zero.
SUBROUTINE PAR_BLAS1(m, a, b, c, comm) REAL a(m), b(m) ! local slice of array REAL c ! result (at node zero) REAL sum INTEGER m, comm, i, ierr ! local sum sum = 0.0 DO i = 1, m sum = sum + a(i)*b(i) END DO ! global sum CALL MPI_REDUCE(sum, c, 1, MPI_REAL, MPI_SUM, 0, comm, ierr) RETURN END
Example
A routine that computes
the product of a vector and an array that are distributed across a
group of processes and returns the answer at node zero.
SUBROUTINE PAR_BLAS2(m, n, a, b, c, comm) REAL a(m), b(m,n) ! local slice of array REAL c(n) ! result REAL sum(n) INTEGER n, comm, i, j, ierr ! local sum DO j= 1, n sum(j) = 0.0 DO i = 1, m sum(j) = sum(j) + a(i)*b(i,j) END DO END DO ! global sum CALL MPI_REDUCE(sum, c, n, MPI_REAL, MPI_SUM, 0, comm, ierr) ! return result at node zero (and garbage at the other nodes) RETURN END


| matrixStats-package | Package matrixStats |
| allValue | Checks if a value exists / does not exist in each row (column) of a matrix |
| anyMissing | Checks if there are any missing values in an object or not |
| anyValue | Checks if a value exists / does not exist in each row (column) of a matrix |
| binCounts | Fast element counting in non-overlapping bins |
| binMeans | Fast mean calculations in non-overlapping bins |
| colAlls | Checks if a value exists / does not exist in each row (column) of a matrix |
| colAnyMissings | Checks if there are any missing values in an object or not |
| colAnyNAs | Checks if there are any missing values in an object or not |
| colAnys | Checks if a value exists / does not exist in each row (column) of a matrix |
| colCollapse | Extracts one cell per row (column) from a matrix |
| colCounts | Counts the number of occurrences of a specific value |
| colCummaxs | Cumulative sums, products, minima and maxima for each row (column) in a matrix |
| colCummins | Cumulative sums, products, minima and maxima for each row (column) in a matrix |
| colCumprods | Cumulative sums, products, minima and maxima for each row (column) in a matrix |
| colCumsums | Cumulative sums, products, minima and maxima for each row (column) in a matrix |
| colDiffs | Calculates difference for each row (column) in a matrix |
| colIQRDiffs | Estimation of scale based on sequential-order differences |
| colIQRs | Estimates of the interquartile range for each row (column) in a matrix |
| colLogSumExps | Accurately computes the logarithm of the sum of exponentials across rows or columns |
| colMadDiffs | Estimation of scale based on sequential-order differences |
| colMads | Standard deviation estimates for each row (column) in a matrix |
| colMaxs | Gets the range of values in each row (column) of a matrix |
| colMeans2 | Calculates the mean for each row (column) in a matrix |
| colMedians | Calculates the median for each row (column) in a matrix |
| colMins | Gets the range of values in each row (column) of a matrix |
| colOrderStats | Gets an order statistic for each row (column) in a matrix |
| colProds | Calculates the product for each row (column) in a matrix |
| colQuantiles | Estimates quantiles for each row (column) in a matrix |
| colRanges | Gets the range of values in each row (column) of a matrix |
| colRanks | Gets the rank of the elements in each row (column) of a matrix |
| colSdDiffs | Estimation of scale based on sequential-order differences |
| colSds | Standard deviation estimates for each row (column) in a matrix |
| colSums2 | Calculates the sum for each row (column) in a matrix |
| colTabulates | Tabulates the values in a matrix by row (column). |
| colVarDiffs | Estimation of scale based on sequential-order differences |
| colVars | Variance estimates for each row (column) in a matrix |
| colWeightedMads | Weighted Median Absolute Deviation (MAD) |
| colWeightedMeans | Calculates the weighted means for each row (column) in a matrix |
| colWeightedMedians | Calculates the weighted medians for each row (column) in a matrix |
| colWeightedSds | Weighted variance and weighted standard deviation |
| colWeightedVars | Weighted variance and weighted standard deviation |
| count | Counts the number of occurrences of a specific value |
| indexByRow | Translates matrix indices by rows into indices by columns |
| iqr | Estimates of the interquartile range for each row (column) in a matrix |
| iqrDiff | Estimation of scale based on sequential-order differences |
| logSumExp | Accurately computes the logarithm of the sum of exponentials |
| madDiff | Estimation of scale based on sequential-order differences |
| matrixStats | Package matrixStats |
| product | Calculates the product for each row (column) in a matrix |
| rowAlls | Checks if a value exists / does not exist in each row (column) of a matrix |
| rowAnyMissings | Checks if there are any missing values in an object or not |
| rowAnyNAs | Checks if there are any missing values in an object or not |
| rowAnys | Checks if a value exists / does not exist in each row (column) of a matrix |
| rowCollapse | Extracts one cell per row (column) from a matrix |
| rowCounts | Counts the number of occurrences of a specific value |
| rowCummaxs | Cumulative sums, products, minima and maxima for each row (column) in a matrix |
| rowCummins | Cumulative sums, products, minima and maxima for each row (column) in a matrix |
| rowCumprods | Cumulative sums, products, minima and maxima for each row (column) in a matrix |
| rowCumsums | Cumulative sums, products, minima and maxima for each row (column) in a matrix |
| rowDiffs | Calculates difference for each row (column) in a matrix |
| rowIQRDiffs | Estimation of scale based on sequential-order differences |
| rowIQRs | Estimates of the interquartile range for each row (column) in a matrix |
| rowLogSumExps | Accurately computes the logarithm of the sum of exponentials across rows or columns |
| rowMadDiffs | Estimation of scale based on sequential-order differences |
| rowMads | Standard deviation estimates for each row (column) in a matrix |
| rowMaxs | Gets the range of values in each row (column) of a matrix |
| rowMeans2 | Calculates the mean for each row (column) in a matrix |
| rowMedians | Calculates the median for each row (column) in a matrix |
| rowMins | Gets the range of values in each row (column) of a matrix |
| rowOrderStats | Gets an order statistic for each row (column) in a matrix |
| rowProds | Calculates the product for each row (column) in a matrix |
| rowQuantiles | Estimates quantiles for each row (column) in a matrix |
| rowRanges | Gets the range of values in each row (column) of a matrix |
| rowRanks | Gets the rank of the elements in each row (column) of a matrix |
| rowSdDiffs | Estimation of scale based on sequential-order differences |
| rowSds | Standard deviation estimates for each row (column) in a matrix |
| rowSums2 | Calculates the sum for each row (column) in a matrix |
| rowTabulates | Tabulates the values in a matrix by row (column). |
| rowVarDiffs | Estimation of scale based on sequential-order differences |
| rowVars | Variance estimates for each row (column) in a matrix |
| rowWeightedMads | Weighted Median Absolute Deviation (MAD) |
| rowWeightedMeans | Calculates the weighted means for each row (column) in a matrix |
| rowWeightedMedians | Calculates the weighted medians for each row (column) in a matrix |
| rowWeightedSds | Weighted variance and weighted standard deviation |
| rowWeightedVars | Weighted variance and weighted standard deviation |
| sdDiff | Estimation of scale based on sequential-order differences |
| varDiff | Estimation of scale based on sequential-order differences |
| weightedMad | Weighted Median Absolute Deviation (MAD) |
| weightedMean | Weighted Arithmetic Mean |
| weightedMedian | Weighted Median Value |
| weightedSd | Weighted variance and weighted standard deviation |
| weightedVar | Weighted variance and weighted standard deviation |


Canadian women dominate U.S. with 19-0 shutout in first of two Can-Am rugby test matches
DaLeaka Menin, Irene Patrinos and Janna Slevinsky scored tries as Canada blanked the U.S. 19-0 in women’s rugby play Wednesday.
Brianna Miller kicked two conversions for Canada, which led 14-0 at the half.
Madison Grant, Shoshanah Seumanutafa and Mikiela Nelson all won their first caps for Canada. Grant started while Seumanutafa and Nelson came off the bench.
Olivia DeMerchant captained Canada.
The two teams meet again Sunday to wrap up the two-game Can-Am series.
Canada lost 20-18 to the fifth-ranked Americans when they met in July at the same venue in the 2019 Women’s Rugby Super Series.


Get it here - https://github.com/z3APA3A/3proxy/releases. This tools works for multiple platforms. There are pre-built binaries for Windows. As for Linux, you will need to build it yourself which is not a rocket science, just ./configure && make :) This tool is a swiss army knife in the proxy world so it has a ton of functionality. I usually use it either as a socks proxy or as a port forwarder.
This tool gets all of its options from config file. To run it:
3proxy.exe config_file
or if you are on a Linux system:
./3proxy config_file
To run 3proxy as a socks5 proxy at port 1080 put the following line in the config:
socks -p1080
Now it’s possible to tunnel most of your pentesting tools through this proxy to develop the attack in the internal network. This is just a basic setup which is not very secure. You can play with options to place authentication and/or ip-based access control rules. Go check the full manual here - https://3proxy.ru/howtoe.asp. To tunnel a specific port use the following syntax:
tcppm <localport> <targethost> <targetport>


A few seconds later, a car drove over it and was swallowed. The driver broke bones in her face and was hospitalized.


Implementations of algorithms from Learning Sparse Penalties for Change-point Detection using Max Margin Interval Regression, by Hocking, Rigaill, Vert, Bach <http://proceedings.mlr.press/v28/hocking13.html> published in proceedings of ICML2013.
| Version: | 2018.09.04 |
| Depends: | R (≥ 2.10), data.table (≥ 1.9.8) |
| Imports: | geometry, ggplot2 |
| Suggests: | Segmentor3IsBack, neuroblastoma, microbenchmark, testthat, future, future.apply, directlabels (≥ 2017.03.31) |
| Published: | 2018-09-10 |
| Author: | Toby Dylan Hocking |
| Maintainer: | Toby Dylan Hocking <toby.hocking at r-project.org> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| Materials: | NEWS |
| CRAN checks: | penaltyLearning results |
| Reference manual: | penaltyLearning.pdf |
| Package source: | penaltyLearning_2018.09.04.tar.gz |
| Windows binaries: | r-devel: penaltyLearning_2018.09.04.zip, r-release: penaltyLearning_2018.09.04.zip, r-oldrel: penaltyLearning_2018.09.04.zip |
| OS X binaries: | r-release: penaltyLearning_2018.09.04.tgz, r-oldrel: penaltyLearning_2018.09.04.tgz |
| Old sources: | penaltyLearning archive |
| Reverse imports: | PeakSegJoint, PeakSegOptimal |
| Reverse suggests: | PeakSegDisk, PeakSegDP |
Please use the canonical form https://CRAN.R-project.org/package=penaltyLearning to link to this page.


hw/vendor/pulp_riscv_dbg/debug_rom/debug_rom.sv Cov: 100%
1: /* Copyright 2018 ETH Zurich and University of Bologna.
2: * Copyright and related rights are licensed under the Solderpad Hardware
3: * License, Version 0.51 (the "License"); you may not use this file except in
4: * compliance with the License. You may obtain a copy of the License at
5: * http://solderpad.org/licenses/SHL-0.51. Unless required by applicable law
6: * or agreed to in writing, software, hardware and materials distributed under
7: * this License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
8: * CONDITIONS OF ANY KIND, either express or implied. See the License for the
9: * specific language governing permissions and limitations under the License.
10: *
11: * File: $filename.v
12: *
13: * Description: Auto-generated bootrom
14: */
15:
16: // Auto-generated code
17: module debug_rom (
18: input logic clk_i,
19: input logic req_i,
20: input logic [63:0] addr_i,
21: output logic [63:0] rdata_o
22: );
23:
24: localparam int unsigned RomSize = 19;
25:
26: const logic [RomSize-1:0][63:0] mem = {
27: 64'h00000000_7b200073,
28: 64'h7b302573_7b202473,
29: 64'h10852423_f1402473,
30: 64'ha85ff06f_7b302573,
31: 64'h7b202473_10052223,
32: 64'h00100073_7b302573,
33: 64'h7b202473_10052623,
34: 64'h00c51513_00c55513,
35: 64'h00000517_fd5ff06f,
36: 64'hfa041ce3_00247413,
37: 64'h40044403_00a40433,
38: 64'hf1402473_02041c63,
39: 64'h00147413_40044403,
40: 64'h00a40433_10852023,
41: 64'hf1402473_00c51513,
42: 64'h00c55513_00000517,
43: 64'h7b351073_7b241073,
44: 64'h0ff0000f_04c0006f,
45: 64'h07c0006f_00c0006f
46: };
47:
48: logic [$clog2(RomSize)-1:0] addr_q;
49:
50: always_ff @(posedge clk_i) begin
51: if (req_i) begin
52: addr_q <= addr_i[$clog2(RomSize)-1+3:3];
53: end
54: end
55:
56: // this prevents spurious Xes from propagating into
57: // the speculative fetch stage of the core
58: always_comb begin : p_outmux
59: rdata_o = '0;
60: if (addr_q < $clog2(RomSize)'(RomSize)) begin
61: rdata_o = mem[addr_q];
62: end
63: end
64:
65: endmodule
66:


AngularJS Hotel Room Booking Tutorial
Changes
- November 16, 2015: DayPilot bug fixed (moving existing events over today).
- January 17, 2017: Room adding and editing.
License
- The code of this tutorial, including the DayPilot Pro library, is licensed for testing and evaluation purposes. See also the attached license (LicenseAgreementTrial.pdf). You can use it for development and production purposes if you are a licensed user of DayPilot Pro for JavaScript. Buy a license.
- This tutorial includes jQuery and AngularJS which are released under the MIT License. Read more about jQuery licensing and AngularJS licensing.
Links


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Kello Rovers boss delivers hairdryer treatment to players and spark Junior Cup win
The Nithside Park outfit moved into the fourth round of the competition after defeating Shettleston last weekend.
by Colin Paterson, https://www.dailyrecord.co.uk/authors/colin-paterson/Scott Clelland revealed he gave his Kello Rovers stars the hairdryer treatment – then watched as they performed Junior Cup heroics.
The Kirkconnel men pulled off a brilliant 3-1 third-round replay win over League One leaders Shettleston at Nithside Park last Saturday.
Now Kello boss Clelland hopes the result will kickstart his side's campaign as they look to bounce back from last season's relegation.
However, he told Ayrshire Live that he had to give his team both barrels as they went in at the break trailing despite dominating the opening stanza.
He said: "I knew we would give them a better game in Kirkconnel and it's the first time I've had all my players available.
"But I had to get the hairdryer out at half-time because we conceded a goal in first half injury time.
"We had so many chances and could have been 5-0 up but we ended up going in 1-0 down.
"But the players did really well in the second half and it was great at the end of the game with everyone celebrating. That's the biggest crowd I've seen up there."
A Declan Hill double and a Stuart Bennie goal turned the tie on its head and sent Kello into the fourth round at the expense of their divisional rivals.
Shettleston's cause wasn't helped when one of their players received two red cards after arguing with some people in the crowd before he threw a water bottle.
Clelland wouldn't be drawn on the bizarre scenes but was happy to bask in the glow of the post-match knees-up which his players certainly made the most of.
He added: "The pub was bouncing after the game and I think a few of the players were out until early the next day still with their club tracksuits on!
"I'm hoping this result will get us going and that we can finish in the top six. We're looking good now."
Kello – who travel to the east end of Glasgow tomorrow for a West of Scotland Cup first round tie with Vale of Clyde – have been drawn to face League One Larkhall Thistle at Gasworks Park in the Junior Cup.
Clelland said: "I have been inundated with messages since the draw and I think both teams will feel it's a winnable tie although they will maybe start as favourites."


Welcome
This site contains hashes for clean rom dumps of certain games.
You can use this site to verify your roms validity for netplay, lunar magic, net64, and for use with other tools.
Tools
This site also has the location of many tools that are related to the games that have hashes stored on the site.
There is also an md5 checker in the Tools section to verify your hashes.


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Sales
- Class in
oops
Sales(String)
- Constructor for class oops.
Sales
salesFromFile()
- Method in class oops.
SalesReport
converts from file
SalesReport
- Class in
oops
SalesReport()
- Constructor for class oops.
SalesReport
Initializes the Sales array by deserializing it from a file
salesToFile()
- Method in class oops.
SalesReport
saves to file
setAvailability(boolean)
- Method in class oops.
Items
setAvailable(boolean)
- Method in class oops.
PromotionalSetPackage
setDescription(String)
- Method in class oops.
Items
setDescription(String)
- Method in interface oops.
MenuItem
setDescription(String)
- Method in class oops.
PromotionalSetPackage
setDessertChoice(Dessert)
- Method in class oops.
PromotionalSetPackage
setDrinkChoice(Drink)
- Method in class oops.
PromotionalSetPackage
setMainDish(MainCourse)
- Method in class oops.
PromotionalSetPackage
setName(String)
- Method in class oops.
Items
setName(String)
- Method in interface oops.
MenuItem
setName(String)
- Method in class oops.
PromotionalSetPackage
setPrice(double)
- Method in class oops.
Items
setPrice(double)
- Method in interface oops.
MenuItem
setPrice(double)
- Method in class oops.
PromotionalSetPackage
setVeg(boolean)
- Method in class oops.
MainCourse
Setter method
showAssigned()
- Method in class oops.
Reservation
Shows ALL assigned tables for a day, for all time slots
showEmptyTables(int)
- Method in class oops.
Reservation
showTimeSlot()
- Method in class oops.
Reservation
display time slot available to book
Staff
- Class in
oops
Staff()
- Constructor for class oops.
Staff
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Channel Islands July 2007
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Channel Islands 2007-07-16 10-19-44
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DJ
Channel Islands 2007-07-16 10-33-16
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Channel Islands 2007-07-16 10-36-44
Channel Islands 2007-07-16 12-13-12
|
Gang on the Vision
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Channel Islands 2007-07-16 12-13-32


--- title: call_to_action: Contact quotes: - text: Hey there name: Bee - text: Hi mate name: Sea - text: Greetings to you name: Zed Zee ---
An example site.
{{ quote.text }} By {{ quote.name }}
{{ quote.text }}
By {{ quote.name }}


--- layout: post title: November Meeting categories: [] tags: [] status: publish type: post published: true meta: _edit_last: '2' dsq_thread_id: '926332717' --- November 21st starting at 6:30pm Shopify (Protoss Boardroom) - 126 York St (Back Doors With the Unicorns on them) Ottawa, Ontario This month (and subsequent months) we'll be meeting in the Shopify Protoss Boardroom. We shouldn't have to worry too much about any future scheduling conflicts. We really don't have much on the schedule, so feel free to let us know that you are interested in presenting something. Schedule


TO THE NEW
Dashboard
Team
Clientele
Careers
Blogs
When it comes to art and photography, images of nature are among the most popular in the world. The sweeping vistas, high-contrast mountains, vivid flowers, and haunting skyscapes of our favorite nature images capture the imagination and bring distant environments front and center. Nature images are appropriate for almost any project or design, and they appeal to almost any viewer, anytime. Shutterstock’s royalty free image library features nature images from artists and photographers from all over the world.
TTN IMAGE GALLERIA
Incredible forest
Wild Leopard
Deadly Snow
Beautiful birds


segregation.batch.batch_compute_singlegroup¶
-
segregation.batch.
batch_compute_singlegroup
(gdf, group_pop_var, total_pop_var, **kwargs)[source]¶ Batch compute single-group indices.
- Parameters
- Returns
pandas.DataFrame
dataframe with statistic name as dataframe index and statistic value as dataframe values


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| Classes in org.jclouds.virtualbox.domain used by org.jclouds.virtualbox.compute | |
|---|---|
| Master
|
|
| NodeSpec
|
|
| YamlImage
Serializes to the following |
| Classes in org.jclouds.virtualbox.domain used by org.jclouds.virtualbox.domain | |
|---|---|
| BridgedIf
Name: en1: Wi-Fi (AirPort) GUID: 00316e65-0000-4000-8000-28cfdaf2917a Dhcp: Disabled IPAddress: <IP_ADDRESS> NetworkMask: <IP_ADDRESS> IPV6Address: IPV6NetworkMaskPrefixLength: 0 HardwareAddress: 28:cf:da:f2:91:7a MediumType: Ethernet Status: Up VBoxNetworkName: HostInterfaceNetworking-en1: Wi-Fi (AirPort) |
|
| BridgedIf.Builder
|
|
| CloneSpec
A complete specification of a "clone" node with networking setup and the physical machine specification. |
|
| CloneSpec.Builder
|
|
| DeviceDetails
Represents a specification for a device attachment. |
|
| DeviceDetails.Builder
|
|
| ErrorCode
Maps the error codes in the Virtual Box Java API into enum values. |
|
| ExecutionType
|
|
| HardDisk
A representation of a hard disk in a VirtualBox VM. |
|
| HardDisk.Builder
|
|
| IsoImage
Represents an optical medium (DVD) in a VirtualBox VM. |
|
| IsoSpec
The information needed to create a machine from a .iso file. |
|
| IsoSpec.Builder
|
|
| Master
|
|
| Master.Builder
|
|
| MasterSpec
A complete specification of a "master" node, including the ISO, networking setup and the physical machine specification. |
|
| MasterSpec.Builder
|
|
| NatAdapter
Represents a NAT network adapter in VirtualBox. |
|
| NatAdapter.Builder
|
|
| NetworkAdapter
Represents a network adapter in VirtualBox. |
|
| NetworkAdapter.Builder
|
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| NetworkInterfaceCard
|
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| NetworkInterfaceCard.Builder
|
|
| NetworkSpec
Describes the network configuration for a VirtualBox machine. |
|
| NetworkSpec.Builder
|
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| NodeSpec
|
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| NodeSpec.Builder
|
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| RedirectRule
|
|
| StorageController
Represents a storage controller in a VirtualBox VM. |
|
| StorageController.Builder
|
|
| VmSpec
A description of a Virtual Machine in VirtualBox. |
|
| VmSpec.Builder
|
|
| YamlImage
Serializes to the following |
| Classes in org.jclouds.virtualbox.domain used by org.jclouds.virtualbox.functions | |
|---|---|
| BridgedIf
Name: en1: Wi-Fi (AirPort) GUID: 00316e65-0000-4000-8000-28cfdaf2917a Dhcp: Disabled IPAddress: <IP_ADDRESS> NetworkMask: <IP_ADDRESS> IPV6Address: IPV6NetworkMaskPrefixLength: 0 HardwareAddress: 28:cf:da:f2:91:7a MediumType: Ethernet Status: Up VBoxNetworkName: HostInterfaceNetworking-en1: Wi-Fi (AirPort) |
|
| CloneSpec
A complete specification of a "clone" node with networking setup and the physical machine specification. |
|
| DeviceDetails
Represents a specification for a device attachment. |
|
| ExecutionType
|
|
| HardDisk
A representation of a hard disk in a VirtualBox VM. |
|
| Master
|
|
| MasterSpec
A complete specification of a "master" node, including the ISO, networking setup and the physical machine specification. |
|
| NetworkInterfaceCard
|
|
| NodeSpec
|
|
| StorageController
Represents a storage controller in a VirtualBox VM. |
|
| VmSpec
A description of a Virtual Machine in VirtualBox. |
|
| YamlImage
Serializes to the following |
| Classes in org.jclouds.virtualbox.domain used by org.jclouds.virtualbox.functions.admin | |
|---|---|
| VmSpec
A description of a Virtual Machine in VirtualBox. |
|
| YamlImage
Serializes to the following |
| Classes in org.jclouds.virtualbox.domain used by org.jclouds.virtualbox.statements | |
|---|---|
| NetworkInterfaceCard
|
|
| VmSpec
A description of a Virtual Machine in VirtualBox. |
| Classes in org.jclouds.virtualbox.domain used by org.jclouds.virtualbox.util | |
|---|---|
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Registrants in the System for Award Management (SAM) respond to the Executive Compensation questions in accordance with Section 6202 of P.L. 110-252, amending the Federal Funding Accountability and Transparency Act (P.L. 109-282). This information is not displayed in SAM. It is sent to USAspending.gov for display in association with an eligible award. Maintaining an active registration in SAM demonstrates the registrant responded to the questions.


Type Function Library analytics.* Return value None Revision Current Public Release (2013.2076) Keywords Sample code /CoronaSDK/SampleCode/Analytics/FlurrySample See also analytics.logEvent()
Initializes the analytics library.
analytics.init( apiKey )
String. The API key provided by the analytics service provider you are using. See 'API Keys' below.
Each section below describes how to obtain an API key for the respective service:
Sign up for an account on Flurry. Once you have logged in to the Flurry dashboard, go to Manage Applications. Click "Create a new app". Choose iPhone, iPad, or Android as appropriate. This will create an "Application key" which you must enter in the code.
Use analytics.logEvent(string) to log events. In your Flurry account, choose "View analytics" to see the data created by your app.
Note that it takes some time for the analytics data to appear in the Flurry statistics, it does not appear immediately.
On Android, you must set the Internet permission in your "build.settings" file in order to record and send analytics data.
You may optionally set the following location permissions in your "build.settings" file if you want Flurry to record the end-user's current location, such as latitude and longitude. If you do not set these location permissions, then Flurry can only record the country the app was used in based on the device's locale and region settings. Note that if you add these location permissions, then you set up your app to not require location services such as GPS as shown below or else devices that do not support location services (such as the 1st generation Kindle Fire) will be unable to by your app.
settings =
{
android =
{
usesPermissions =
{
-- These permissions are optional.
-- If set, then Flurry will also record current location via GPS and/or WiFi.
-- If not set, then Flurry can only record which country the app was used in.
"android.permission.ACCESS_FINE_LOCATION", -- Fetches location via GPS.
"android.permission.ACCESS_COARSE_LOCATION", -- Fetches location via WiFi or cellular service.
},
usesFeatures =
{
-- If you set permissions "ACCESS_FINE_LOCATION" and "ACCESS_COARSE_LOCATION" above,
-- then you should set up your app to not require location services as follows.
-- Otherwise, devices that do not have location sevices (such as a GPS) will be unable
-- to purchase this app in the app store.
{ name = "android.hardware.location", required = false },
{ name = "android.hardware.location.gps", required = false },
{ name = "android.hardware.location.network", required = false },
},
},
}
This example assumes you are using Flurry as your analytics provider. You must have an application key provided by Flurry to use the service. This version of the library does not support location-enabled Flurry events.
The following code demonstrates basic usage of the analytics library.
local analytics = require "analytics"
-- initialize with proper API key corresponding to your application
analytics.init( "YOUR_API_KEY" )
-- log events
analytics.logEvent( "Event ID" )


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| 008:030 Khan | : |
And (remember) when the disbelievers plotted against you (O Muhammad SAW) to imprison you, or to kill you, or to get you out (from your home, i.e. Makkah); they were plotting and Allah too was planning, and Allah is the Best of the planners. |
| 008:030 Maulana | : |
And when those who disbelieved devised plans against thee that they might confine thee or slay thee or drive thee away -- and they devised plans and Allah, too, had arranged a plan; and Allah is the best of planners. |
| 008:030 Pickthal | : |
And when those who disbelieve plot against thee (O Muhammad) to wound thee fatally, or to kill thee or to drive thee forth; they plot, but Allah (also) plotteth; and Allah is the best of plotters. |
| 008:030 Rashad | : |
The disbelievers plot and scheme to neutralize you, or kill you, or banish you. However, they plot and scheme, but so does GOD. GOD is the best schemer. |
| 008:030 Sarwar | : |
The unbelievers planned to imprison, murder or expel you (Muhammad) from your city. They make evil plans but God too plans and God's plans are the best. |
| 008:030 Shakir | : |
And when those who disbelieved devised plans against you that they might confine you or slay you or drive you away; and they devised plans and Allah too had arranged a plan; and Allah is the best of planners. |
| 008:030 Sherali | : |
And remember when the disbelievers devised plans against thee that they might put thee in confinement or slay thee or expel thee. And they planned and ALLAH also planned, and ALLAH is the Best of planners. |
| 008:030 Yusufali | : |
Remember how the Unbelievers plotted against thee, to keep thee in bonds, or slay thee, or get thee out (of thy home). They plot and plan, and Allah too plans; but the best of planners is Allah. |
Concepts/Themes Covered: أركان الإسلام > التوحيد > توحيد الله تعالي > صفات الله تعالى > خير الماكرين Pillars of Islam> Islamic> Oneness of Allah> His Glory's Characteristics> The Best of the Planners أركان الإسلام > التوحيد > الكافرون > جزاء مكر الكفار Pillars of Islam> Islamic> The Disbelievers> The Penalty of the Disbelievers Cunning أركان الإسلام > التوحيد > الكافرون > صفات الكفار Pillars of Islam> Islamic> The Disbelievers> The Characteristics of the Disbelievers أركان الإسلام > (محمد (صلى الله عليه وسلم > مآثره وخصائصه لله Pillars of Islam> The Blessed Muhammad(PBUH)> Memorable Qualities given to Him by Allah الإنسان والعلاقات الأخلاقية > الأخلاق الذميمة > المكر Man and The Moral Relations>The Dispraised Morals>Cunning العلاقات القضائية > أحكام قانونية > النفي Judicial Relationships>Legal Rules>Negation
This tool uses eight English parallel translations for the Holy Quran imported from Mr. Clay Smith. You can also visit Qurany Concepts for browsing the Quran themes or topics. If you want to search the Holy Quran for keywords, please visit Qurany Keywords.


projects
procyon skies
A space shooty themed .io style game.
procyon
Our 2018 Game Off game jam submission.


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Clicking Release will provide the Utopian Federal Benefits Settlement Dept system access to the selected account Social Security Number(s) and send a notification to process the information within the next 60 minutes. This action will also send an email to your supervisor<EMAIL_ADDRESS>notifying them of the release.
I hereby authorize the Utopian Federal Benefits Settlement Dept to access the above account Social Security Numbers for benefit settlement processing Jacky Labat


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"Some things are better left unspoken"
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Apps for keeping a diary have been developed recently, which can be accessed from anywhere and means you can write whenever the mood strikes! Moreover, you don't have to worry about your privacy and security with a diary application, as password protection and other security features ensure no strangers can log on to your account. This app allows you to share your diary with your friends or keep it to yourself. Secure Secrets diary allows you to customize your entries to fit your personality and then send them straight to your e-mail account. You can add pictures through Flickr and password protect all of your entries with a secret password.
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* 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.
*@
@import config.AppConfig
@import models.EncryptedNuanceData
@this(appConfig: AppConfig)
@(nuanceData: EncryptedNuanceData)


Manu Bhaker wins gold in ISSF World Cup Finals
The 17-year-old Bhaker shot 244.7 to claim the top prize in the prestigious season-ending tournament of International Shooting Sport Federation (ISSF)
by PTIIndia's Manu Bhaker fired her way to the gold medal with a junior world record in the women's 10m air pistol event of the World Cup Finals here on Thursday.
The 17-year-old Bhaker shot 244.7 to claim the top prize in the prestigious season-ending tournament of the International Shooting Sport Federation (ISSF).
Her compatriot, Yashaswini Singh Deswal finished sixth in the final of the event.
Serbia's Zorana Arunovic won the silver with 241.9, while Quian Wang of China bagged the bronze with 221.8.
In the men's 10m air pistol event, Abhishek Verma and Saurabh Chaudhary qualified for the final. Verma topped the qualifications with 588 while Chaudhary was seventh with 581.


Modify type of pdqr-function using method of choice.
form_retype(f, type = NULL, method = "value")
| f | A pdqr-function. |
|---|---|
| type | A desired type of output. Should be one of "discrete" or
"continuous". If |
| method | Retyping method. Should be one of "value", "piecelin", "dirac". |
A pdqr-function with type equal to input type
.
If type of f
is equal to input type
then f
is returned.
Method "value" uses renormalized columns of f
's "x_tbl" metadata as values
for output's "x_tbl" metadata. In other words, it preserves ratios between
values of d-function at certain "x" points. Its main advantages are that this
method can work well with any pdqr type and that two consecutive conversions
return the same function. Conversion algorithm is as follows:
Retyping from "continuous" to type
"discrete" is done by creating
pdqr-function of corresponding class with the following "x_tbl" metadata: "x"
column is the same as in f
; "prob" column is equal to f
's "y" column
after renormalization (so that their sum is 1).
Retyping from "discrete" to type
"continuous" is done in the same
fashion: "x" column is the same; "y" column is equal to f
's "prob" column
after renormalization (so that total integral of piecewise-linear density is
equal to 1).
Method "piecelin" should be used mostly for converting from "continuous" to "discrete" type. It uses the fact that 'pdqr' densities are piecewise-linear (linear in intervals between values of "x" column of "x_tbl" metadata) on their support:
Retyping from "continuous" to type
"discrete" is done by computing "x"
values as centers of interval masses with probabilities equal to interval
total probabilities.
Retyping from "discrete" to type
"continuous" is made approximately by
trying to compute "x" grid, for which "x" values of input distribution are
going to be centers of mass. Algorithm is approximate and might result into a
big errors in case of small number of "x" values or if they are not
"suitable" for this kind of transformation.
Method "dirac" is used mostly for converting from "discrete" to "continuous"
type (for example, in form_mix()
in case different types of input
pdqr-functions). It works in the following way:
Retyping from "continuous" to type
"discrete" works only if "x_tbl"
metadata represents a mixture of dirac-like distributions. In that case it is
transformed to have "x" values from centers of those dirac-like distributions
with corresponding probabilities.
Retyping from "discrete" to type
"continuous" works by transforming each
"x" value from "x_tbl" metadata into dirac-like distribution with total
probability taken from corresponding value of "prob" column. Output
essentially represents a mixture of dirac-like distributions.
form_regrid()
for changing grid (rows of "x_tbl" metadata) of
pdqr-function.
form_resupport()
for changing support of pdqr-function.
Other form functions:
form_estimate()
,
form_mix()
,
form_regrid()
,
form_resupport()
,
form_smooth()
,
form_tails()
,
form_trans()
#> x y cumprob
#> 1 1 0.125 0.0000
#> 2 2 0.250 0.1875
#> 3 3 0.375 0.5000
#> 4 4 0.250 0.8125
#> 5 5 0.125 1.0000
# By default, conversion is done to the opposite type
my_dis <- form_retype(my_con)
meta_x_tbl(my_dis)
#> x prob cumprob
#> 1 1 0.1111111 0.1111111
#> 2 2 0.2222222 0.3333333
#> 3 3 0.3333333 0.6666667
#> 4 4 0.2222222 0.8888889
#> 5 5 0.1111111 1.0000000
# Default retyping (with method "value") is accurate when doing consecutive
# retyping
my_con_2 <- form_retype(my_dis, "continuous")
meta_x_tbl(my_con_2)
#> x y cumprob
#> 1 1 0.125 0.0000
#> 2 2 0.250 0.1875
#> 3 3 0.375 0.5000
#> 4 4 0.250 0.8125
#> 5 5 0.125 1.0000
# Method "dirac"
my_dirac <- form_retype(my_dis, "continuous", method = "dirac")
meta_x_tbl(my_dirac)
#> x y cumprob
#> 1 1 0 0.00000000
#> 2 1 11111111 0.05555556
#> 3 1 0 0.11111111
#> 4 2 0 0.11111111
#> 5 2 22222222 0.22222222
#> 6 2 0 0.33333333
#> 7 3 0 0.33333333
#> 8 3 33333333 0.50000000
#> 9 3 0 0.66666666
#> 10 4 0 0.66666666
#> 11 4 22222222 0.77777777
#> 12 4 0 0.88888888
#> 13 5 0 0.88888888
#> 14 5 11111111 0.94444444
#> 15 5 0 0.99999999
# Method "piecelin"
## From "continuous" to "discrete" (preferred direction)
my_dis_piece <- form_retype(my_con, "discrete", method = "piecelin")
meta_x_tbl(my_dis_piece)
#> x prob cumprob
#> 1 1.555556 0.1875 0.1875
#> 2 2.533333 0.3125 0.5000
#> 3 3.466667 0.3125 0.8125
#> 4 4.444444 0.1875 1.0000## Conversion from "discrete" to "continuous" is very approximate
my_con_piece <- form_retype(my_dis_piece, "continuous", method = "piecelin")
meta_x_tbl(my_con_piece)
#> x y cumprob
#> 1 0.8444444 0.1237113 0.0
#> 2 1.9222222 0.2474227 0.2
#> 3 3.0000000 0.3092784 0.5
#> 4 4.0777778 0.2474227 0.8
#> 5 5.1555556 0.1237113 1.0


I've also attempted to translate a pdf copy of my notes to html, via the MathJax javascript package. As such the notes are very incomplete, and should be considered a work in progress (perhaps without the progress). A much better collection of my notes can be found on my github
page.


Slipknot’s Corey Taylor says his new solo album will feature “huge, world-changing guitar songs”
"I've got 26 songs written, and I'm not done yet."
Slipknot‘s Corey Taylor has spoken about a new solo album he’s working on, claiming he’s already written 26 songs for the “rock meets so many different things” record.
- Read More: The Big Read – Slipknot: “I’m just going to tell you the facts: this album is a masterpiece”
Speaking to WhatCulture Music in a new interview, the singer also talked about his involvement with TV show The Boys, Slipknot’s last album, and potential future Knotfest events.
He then went on to discuss his recent live solo shows, before giving some clues as to how his next solo album might sound. Watch the full interview below, with Taylor discussing the “potential new solo run” around the 17:10 mark.
“It’s definitely going to be rock-based, but it’s going to be rock meets so many different things,” Taylor told the interviewer. “There will be harder-edged stuff, but there also will be big, expansive, huge, world-changing guitar songs that you’re going to want to sing along to.
“That’s just who I am, and I’m not going to fight who I am. I’ve got 26 songs written, and I’m not done yet.”
Yesterday (November 18), Taylor’s Slipknot bandmate Sid Wilson announced that he’s also releasing a new solo album. Making the announcement via Instagram, Wilson said his new album will arrive next month on December 13.
The Slipknot turntablist also revealed that his album features a series of special guests including Killah Priest, DJ Q-Bert and guitarist Bizzythowed.
Wilson’s latest offering is part of a trilogy of album releases, the first of which was released in August 2018.


| Class | Description |
|---|---|
| BeanStringSwap<T> |
Transforms beans into
Strings by simply calling the Object.toString() method. |
| ByteArrayBase64Swap |
Transforms
arrays to BASE-64 encoded Strings . |
| CalendarLongSwap | |
| CalendarMapSwap | |
| CalendarSwap | |
| CalendarSwap.DateFull |
Transforms
Calendars to DateFormat.FULL date strings. |
| CalendarSwap.DateLong |
Transforms
Calendars to DateFormat.LONG date strings. |
| CalendarSwap.DateMedium |
Transforms
Calendars to DateFormat.MEDIUM date strings. |
| CalendarSwap.DateShort |
Transforms
Calendars to DateFormat.SHORT date strings. |
| CalendarSwap.DateSimple |
Transforms
Calendars to simple |
| CalendarSwap.DateTimeFull |
Transforms
Calendars to DateFormat.FULL date-time strings. |
| CalendarSwap.DateTimeLong |
Transforms
Calendars to DateFormat.LONG date-time strings. |
| CalendarSwap.DateTimeMedium |
Transforms
Calendars to DateFormat.MEDIUM date-time strings. |
| CalendarSwap.DateTimeShort |
Transforms
Calendars to DateFormat.SHORT date-time strings. |
| CalendarSwap.DateTimeSimple |
Transforms
Calendars to simple |
| CalendarSwap.ISO8601D |
ISO8601 date only.
|
| CalendarSwap.ISO8601DT |
Transforms
Calendars to ISO8601 date-time strings. |
| CalendarSwap.ISO8601DTL |
Transforms
Calendars to ISO8601 date-time-local strings. |
| CalendarSwap.ISO8601DTP |
Same as
CalendarSwap.ISO8601DT except serializes to millisecond precision. |
| CalendarSwap.ISO8601DTPZ |
Same as
CalendarSwap.ISO8601DTZ except serializes to millisecond precision. |
| CalendarSwap.ISO8601DTZ |
Same as
CalendarSwap.ISO8601DT , except always serializes in GMT. |
| CalendarSwap.RFC2822D |
Transforms
Calendars to RFC2822 date strings. |
| CalendarSwap.RFC2822DT |
Transforms
Calendars to RFC2822 date-time strings. |
| CalendarSwap.RFC2822DTZ |
Same as
CalendarSwap.RFC2822DT , except always serializes in GMT. |
| CalendarSwap.TimeFull |
Transforms
Calendars to DateFormat.FULL time strings. |
| CalendarSwap.TimeLong |
Transforms
Calendars to DateFormat.LONG time strings. |
| CalendarSwap.TimeMedium |
Transforms
Calendars to DateFormat.MEDIUM time strings. |
| CalendarSwap.TimeShort |
Transforms
Calendars to DateFormat.SHORT time strings. |
| CalendarSwap.TimeSimple |
Transforms
Calendars to simple |
| CalendarSwap.ToString | |
| DateLongSwap | |
| DateMapSwap | |
| DateSwap | |
| DateSwap.DateFull |
Transforms
Dates to DateFormat.FULL date strings. |
| DateSwap.DateLong |
Transforms
Dates to DateFormat.LONG date strings. |
| DateSwap.DateMedium |
Transforms
Dates to DateFormat.MEDIUM date strings. |
| DateSwap.DateShort |
Transforms
Dates to DateFormat.SHORT date strings. |
| DateSwap.DateSimple |
Transforms
Dates to simple |
| DateSwap.DateTimeFull |
Transforms
Dates to DateFormat.FULL date-time strings. |
| DateSwap.DateTimeLong |
Transforms
Dates to DateFormat.LONG date-time strings. |
| DateSwap.DateTimeMedium |
Transforms
Dates to DateFormat.MEDIUM date-time strings. |
| DateSwap.DateTimeShort |
Transforms
Dates to DateFormat.SHORT date-time strings. |
| DateSwap.DateTimeSimple |
Transforms
Dates to simple |
| DateSwap.ISO8601D |
ISO8601 date only.
|
| DateSwap.ISO8601DT |
Transforms
Calendars to ISO8601 date-time strings. |
| DateSwap.ISO8601DTL |
Transforms
Dates to ISO8601 date-time-local strings. |
| DateSwap.ISO8601DTP |
Same as
CalendarSwap.ISO8601DT except serializes to millisecond precision. |
| DateSwap.ISO8601DTPZ |
Same as
CalendarSwap.ISO8601DTZ except serializes to millisecond precision. |
| DateSwap.ISO8601DTZ |
Same as
DateSwap.ISO8601DT , except always serializes in GMT. |
| DateSwap.RFC2822D |
Transforms
Dates to RFC2822 date strings. |
| DateSwap.RFC2822DT |
Transforms
Dates to RFC2822 date-time strings. |
| DateSwap.RFC2822DTZ |
Same as
DateSwap.RFC2822DT , except always serializes in GMT. |
| DateSwap.TimeFull |
Transforms
Dates to DateFormat.FULL time strings. |
| DateSwap.TimeLong |
Transforms
Dates to DateFormat.LONG time strings. |
| DateSwap.TimeMedium |
Transforms
Dates to DateFormat.MEDIUM time strings. |
| DateSwap.TimeShort |
Transforms
Dates to DateFormat.SHORT time strings. |
| DateSwap.TimeSimple |
Transforms
Dates to simple |
| DateSwap.ToString | |
| EnumerationSwap |
Transforms
Enumerations to List<Object> objects. |
| IteratorSwap |
Transforms
Iterators to List<Object> objects. |
| ReaderSwap |
Transforms the contents of a
Reader into an Object . |
| ReaderSwap.Html |
Reader transform for reading HTML text.
|
| ReaderSwap.Json |
Reader transform for reading JSON text.
|
| ReaderSwap.PlainText |
Reader transform for reading plain text.
|
| ReaderSwap.Uon |
Reader transform for reading plain text.
|
| ReaderSwap.UrlEncoding |
Reader transform for reading plain text.
|
| ReaderSwap.Xml |
Reader transform for reading XML text.
|
| StringFormatSwap |
Built-in POJO swap implementation class for the
@BeanProperty(format) annotation. |
| XMLGregorianCalendarSwap |
Transforms
XMLGregorianCalendars to ISO8601 date-time Strings . |
Copyright © 2018 Apache. All rights reserved.


Scratch3D is an extensive three.js extension for the MIT Media Lab's visual programming language, Scratch. The extension enables scratch developers to break out of the confining limitations imposed upon them by the 2 dimension space in which it Scratch inhabits.
Neuro View is a simple project that allows you to slice through the different layers of a very small section of Mouse brain. Slicing through the brain cube with the left and right arrows allows you to follow the dendrite, seeing their path as they twist and turn through this section of brain and visualizing the connection they make with the dendrite from other neurons.
This is a project I work on for work and thought I would share it with the world. Click on "View Project" to see the complete tutorial and download the .stl files.
Virtual White Board is an Intel Edison power device I created in collaboration with Dr. Scharff at Pace University. The device allows the user to update the message displayed on the LCD from any where via an internet connect app. The app also allows the user to adjust the color of the screen with a RGB slider.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Donec ac ante arcu, quis auctor sapien. Morbi magna leo, dapibus a pulvinar et, pharetra scelerisque felis. Mauris massa magna, gravida vitae convallis sagittis, sagittis ac ipsum. Integer arcu justo, vehicula vel accumsan ac, venenatis in massa. Curabitur in dui in urna interdum ullamcorper. Pellentesque ut imperdiet libero.
“Lorem ipsum dolor sit amet, consectetur adipiscing elit. Donec ac ante arcu, quis auctor sapien. Morbi magna leo, dapibus a pulvinar et, pharetra scelerisque felis. Mauris massa magna, gravida vitae convallis sagittis, sagittis ac ipsum. Integer arcu justo, vehicula vel accumsan ac, venenatis in massa. Curabitur in dui in urna interdum ullamcorper. Pellentesque ut imperdiet libero.” John Doe, Google
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Donec ac ante arcu, quis auctor sapien. Morbi magna leo, dapibus a pulvinar et, pharetra scelerisque felis. Mauris massa magna, gravida vitae convallis sagittis, sagittis ac ipsum. Integer arcu justo, vehicula vel accumsan ac, venenatis in massa. Curabitur in dui in urna interdum ullamcorper. Pellentesque ut imperdiet libero.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Donec ac ante arcu, quis auctor sapien. Morbi magna leo, dapibus a pulvinar et, pharetra scelerisque felis. Mauris massa magna, gravida vitae convallis sagittis, sagittis ac ipsum. Integer arcu justo, vehicula vel accumsan ac, venenatis in massa. Curabitur in dui in urna interdum ullamcorper. Pellentesque ut imperdiet libero.


Welcome to FsLab journal
FsLab journal is a simple Visual Studio template that makes it easy to do interactive data analysis using F# Interactive and produce nice HTML or PDF to document you research.
Next steps
-
If you are using Visual Studio template, go to "Solution Explorer", right click on your newly created project, select "Add", "New item.." and choose "FsLab Walkthrough". This contains addtional examples you can explore.
-
To add new experiments to your project, just clone this file and rename it. In Visual Studio, you can got to "Add", "New item" and choose new "FsLab Experiment". You can have multiple scripts in a single project.
-
To see how things work, run
build run
from the terminal to start the journal runner in the background (or hit F5 in Visual Studio). FsLab Journal will turn this Markdown document with simple F# script into a nice report! -
To generate PDF from your experiments, you need to install
pdflatex
and have it accessible in the systemPATH
variable. Then you can runbuild pdf
in the folder with this script (then check outoutput
folder).
Sample experiment
We start by referencing Deedle
and FSharp.Charting
libraries and then we
load the contents of this file:
1: 2: 3: 4: 5: 6: 7: 8: |
|
|
Now, we split the contents of the file into words, count the frequency of words longer than 3 letters and turn the result into a Deedle series:
1: 2: 3: 4: 5: 6: |
|
We can take the top 5 words occurring in this tutorial and see them in a chart:
1: 2: 3: 4: |
|
| # | |
|---|---|
Finally, we can take the same 6 words and call Chart.Column
to see them in a chart:
1: 2: 3: 4: 5: |
|
Summary
An image is worth a thousand words: