This page is for computing changes in velocity and the time of
flight for a Hohmann Transfer. A Hohmann Transfer is the most
energy-efficient way of moving a spacecraft from one orbit to another.
Put in some things below and see what happens!
Note: In the following, "body" refers to a planet, star, black hole,
or other massive object.
Gravitational Parameter (G*M km^3/s^2) :
Radius of Orbit 1 (from body's center km) :
Radius of Orbit 2 (from body's center km) :


This package defines the unit tests for the 'Ikon Do It' application, and these classes demonstrate various points about the automated testing of user interfaces.


sta- splicing miRNA Figure levels processing RNA Arabidopsis pri-miRNAs STA pri-miRNA hyl- miRNAs biogenesis expression transcript transcripts Supplementary DCL Plant pre-mRNA pri-miRb mature se- pri-miRa showed using results used accumulation miR small unspliced gene genes {border-style miR, roles mutants px;} sta-. #ffffff;} analysis S). compared involved observed se-, target Cell important Col-, HYL functions mRNA microRNA reduced CBP accumulated development intron plants protein role ABH/CBP Table intron-containing leaf spliced cap-binding level proteins sequencing Biol. Sci. defective Acad. Col- Col-RDA-LUC Natl Proc. USA biogenesis. blot cDNA control intermediates leaves mutant qRT-PCR sta-, suggested tested PCR RT-PCR Yang complex defects fragments introns microRNAs nuclear plant pri-miRNAs. processing. px; samples sequence similar total {font-family Chen However, Indeed, RNAs SPL addition array decreased factor font-size fully function high higher hybridization intronless involvement lower mRNAs nascent pathway probes reported retained seedlings suggest –). B). Bartel CBC Curr. DNA Expression Kim Zhu abh/cbp addition, bands developmental different double; fragment hyl-, increased miRNAs. mutants. processes reads regulation retention significantly size thaliana tiling transcription ABA Acids Dev. Furthermore, LINK Lee MYB Nucleic Physiol. RNA-binding SERRATE WT, WT. accumulates affects background band border-color border-width cycles early eventually general genome growth hyl-. known phenotypes possible predicted primary primers reduction required response reverse se-. selected serrated slightly solid; splicing, study values {font-style {font-weight (%) Carrington Illumina Kit Research Small Thus, Total University Xie amplified analysis. annotated bold carried cloned confirmed containing courier; data determined dual em; generated identify implies indicate indicating interaction loading major maturation method miR/ modulating new numbers phenotype probably process products protein, pt;} regulated results, shown significant silencing siliques specific splicing. step unique variants weak


To generate a JSON representation of the list, run this in the console: todoCtrl.toJSON()
todoCtrl.toJSON()
To update the list with a JSON array, run this in the console: todoCtrl.updateTasks('["test 1","test 2","test 3","test 4"]');
todoCtrl.updateTasks('["test 1","test 2","test 3","test 4"]');
Run Unit Tests


'I hope' - The injury concerns facing Wolves boss Nuno ahead of Aston Villa clash
Wolverhampton Wanderers injury and suspension news | A complete rundown of who is and isn't available for action
by Alex Dicken, Ben Husband, https://www.facebook.com/alexdickenjournalist/?fref=ts, https://www.birminghammail.co.uk/authors/ben-husband/Wolves will look to cap a positive week with a win over local rivals Aston Villa on Sunday.
We have taken a look at Wolves' injuries and suspensions - those pesky inconveniences that occasionally get in the way of Nuno Espirito Santo fielding his strongest team from one week to the next.
This is your one-stop shop for all the latest news on the players on the treatment table or the naughty step.
We'll update it each week with the absentees, potential return dates and thoughts of the manager.
SUSPENSIONS
There are none. Willy Boly and Romain Saiss have both been suspended at points this season but Nuno's side are all currently available.
Reds (PL only)
Willy Boly - 1
Romain Saiss - 1
Yellow (PL only)
Ruben Neves - 4
Romain Saiss - 4
Ryan Bennett - 2
Joao Moutinho - 2
Raul Jimenez - 2
Conor Coady - 2
Leander Dendoncker - 1
Jonny Castro Otto - 1
Willy Boly - 1
Diogo Jota - 1
Ruben Vinagre - 1
Pedro Neto - 1
Jesus Vallejo - 1
PL Yellow card amnesties
Five yellow cards no longer results in a one-match ban after 19 fixtures.
Ten yellow cards no longer results in a two-match ban after 32 fixtures.
Yellow (Europa League only)
Raul Jimenez - 2
Diogo Jota - 1
The Portuguese missed the return game against Slovan Bratislava after picking up two yellow cards in quick succession. Only one of those cautions will count towards any further suspension for accumulation.
Willy Boly - 1
Jonny Castro Otto - 1
At this stage of the competition three yellow cards in three separate matches will result in a one-match ban.
Wolves TV fixtures
Premier League TV games so far...
Wolves 1-1 Manchester United
Everton 3-2 Wolves
Coming up...
Newcastle United vs Wolves
Sunday 27th October, 2pm - Sky Sports
Wolves vs Aston Villa
Sunday 10th November, 2pm - Sky Sports
West Ham vs Wolves
Wednesday 4th December, 7:45pm - Amazon Prime
Brighton vs Wolves
Sunday 8th December, 4:30pm - Sky Sports
Wolves vs Manchester City
Friday 27th December, 7:45pm - Amazon Prime
Liverpool vs Wolves
Sunday 29th December, 4:30pm - Sky Sports
Watford vs Wolves
Wednesday 1st January, 3pm - BT Sport
Wolves vs Liverpool
Wednesday 23rd January, 8pm - BT Sport
INJURIES
For the first time under Nuno Espirito Santo's stewardship Wolves are dealing with some injury concerns. Willy Boly is out long term, whilst Ryan Bennett and Romain Saiss have both been struggling with their own injury issues.
Willy Boly
Injury: Broken Fibula
Details: Boly was injured as the side prepared for the visit to Newcastle United, it is suspected he has suffered a broken fibula and he will be assessed in the coming days.
What Wolves have said: Wolves physio Phil Hayward confirmed that the Frenchman had surgery to repair the broken bone and will now be in a protective boot for six weeks.
“Willy had surgery in London this morning to repair the bone with a small metal plate and screws," said Phil Hayward.
“The procedure went as planned with no complications and he will now return to Compton to begin the early stages of his rehabilitation.
“Willy will be in a boot for the first six weeks, working hard to maintain fitness and muscle bulk in the leg before progressing to more functional activities.
“In terms of time scales, a lot depends on how he progresses in the first few weeks and how well the fracture heals.”
Morgan Gibbs-White
Injury: Lower back
Details: The youngster missed Wolves' win over Slovan Bratislava and has been struggling with a lower back injury. Earlier this week, Nuno revealed after the game that he was unable to train and is a major doubt for Villa.
What Wolves have said: “We still have to take care of him. This low back pain that he has, we tried to offload. Today he is not on the bench, but Bennett has come back and Saiss is better. It is about managing the squad I hope Morgan can join us.”


landseek is one of the fastest growing hospitality businesses in India. Our success stems from a simple principle: best value for our clients. We believe in building lifelong relationships through customized services, constant innovations, focus on quality and providing value for money.
We pioneered Customized Business Stay Solutions and completely changed the concept of business stays in India & abroad, with a focus on what you want, rather than what is a standard offering from other Hospitality Service Providers. In effect, we give personalized business stay solutions and you can say goodbye to bloated hotel stay bills.
At Landseek we do not sell a product, instead we propagate a concept, wherein we customize business residences in exactly the way you specify.
With landseek you are certain of a memorable stay. Whether it's the ambience, the service, the cuisine or the amenities, you are sure of a grand treatment. After all, we do provide our distinguished guests with "Value for Luxury".


Get a set of features from the current frame.
Set the channel of the audio node for Meyda to listen to
the index of the channel on the input audio node for Meyda to listen to.
Set the Audio Node for Meyda to listen to.
The Audio Node for Meyda to listen to
Start feature extraction The audio features will be passed to the callback function that was defined in the MeydaOptions that were passed to the factory when constructing the MeydaAnalyzer.
Stop feature extraction.
Generated using TypeDoc
MeydaAnalyzer
Meyda's interface to the Web Audio API. MeydaAnalyzer abstracts an API on top of the Web Audio API's ScriptProcessorNode, running the Meyda audio feature extractors inside that context.
MeydaAnalyzer's constructor should not be called directly - MeydaAnalyzer objects should be generated using the {@link Meyda.createMeydaAnalyzer} factory function in the main Meyda class.
const analyzer = Meyda.createMeydaAnalyzer({ "audioContext": audioContext, "source": source, "bufferSize": 512, "featureExtractors": ["rms"], "inputs": 2, "numberOfMFCCCoefficients": 20 "callback": features => { levelRangeElement.value = features.rms; } });


Performance¶
pywgrib2 uses wgrib2 code. It is iteresting to compare performance of those two on common tasks.
The first task is converting GRIB2 file to netCDF. The GRIB2 file is GDAS 2m temperature data for whole month that can be obtained here The file size is about 20 MB. We compare run times of wgrib2 and Python scripts cfgrib and pywgrib2. The tests were ran several times, with no significant differences in lapsed times:
time wgrib2 tmp2m.gdas.l.201912.grib2 -inv /dev/null -netcdf x.nc
real 0m9.814s
user 0m9.696s
sys 0m0.100s
time cfgrib to_netcdf -o y.nc tmp2m.l.gdas.202002.grib2
real 0m16.451s
user 0m15.146s
sys 0m0.714s
time pywgrib2 template -t '2019-12-01T00' -o tmp2m.tmpl tmp2m.l.gdas.201912.grib2
real 0m1.160s
user 0m1.210s
sys 0m0.417s
time pywgrib2 to_nc -T tmp2m.tmpl -o tmp2m-pywgrib.nc tmp2m.l.gdas.201912.grib2
real 0m12.577s
user 0m12.401s
sys 0m0.868s
wgrib2 is the fastest, followed by pywgrib2 and cfgrib. One has to note that wgrib2 does not handle this dataset correctly: it uses forecast valid time as the time coordinate. The datafile contains analysis and 1 to 6 hour forecast, every 6 hours:
wgrib2 tmp2m.gdas.l.202002.grib2
1:0:d=2020020100:TMP:2 m above ground:anl:
2:26025:d=2020020100:TMP:2 m above ground:1 hour fcst:
3:52040:d=2020020100:TMP:2 m above ground:2 hour fcst:
4:77996:d=2020020100:TMP:2 m above ground:3 hour fcst:
5:103976:d=2020020100:TMP:2 m above ground:4 hour fcst:
6:129840:d=2020020100:TMP:2 m above ground:5 hour fcst:
7:155730:d=2020020100:TMP:2 m above ground:6 hour fcst:
8:181608:d=2020020106:TMP:2 m above ground:anl:
9:207509:d=2020020106:TMP:2 m above ground:1 hour fcst:
10:233451:d=2020020106:TMP:2 m above ground:2 hour fcst:
11:259410:d=2020020106:TMP:2 m above ground:3 hour fcst:
. . .
This means that the 6 hour forecast is overwritten by the next forecast analysis.
In the following example we compute mean temperature over two consecutive months.
Calculation is done twice, first with pywgrib2_xr.open_dataset()
, then
xarray.open_mfdataset()
and engine=cfgrib
:
import sys
import time
from dask.distributed import Client
import numpy as np
import xarray as xr
import pywgrib2_xr as pywgrib2
f1 = '/tmp/tmp2m.l.gdas.201912.grib2'
f2 = '/tmp/tmp2m.l.gdas.202001.grib2'
def pywgrib2_():
tmpl = pywgrib2.make_template(f2, reftime='2020-01-01T00:00:00')
ds = pywgrib2.open_dataset([f1, f2], tmpl)
tmp = ds['TMP.2_m_above_ground'][:,:-1,...]
ds.close()
return tmp.mean(['reftime', 'time1']).compute()
def cfgrib():
ds = xr.open_mfdataset([f1, f2], engine='cfgrib') # , chunks={'time': 1})
tmp = ds['t2m'][:,:-1,...]
ds.close()
return tmp.mean(['time', 'step']).compute()
if __name__ == '__main__':
if sys.argv[1] == 'dask':
client = Client()
print(client)
t = time.time()
tmp1 = pywgrib2_()
print('pywgrib2:', time.time() - t)
t = time.time()
tmp2 = cfgrib()
print('cfgrib:', time.time() - t)
assert np.allclose(tmp1.values[::-1,:], tmp2.values)
The last line compares results. Since pywgrib2 always converts grid orientation to WE:SN, the y-axis has to be swapped. The first run is single-threaded, the second uses dask distributed scheduler. pywgrib2_xr inventory and cfgrib index files already exist. The timing is done on an 8-core AMD FX-8350 processor:
python example1.py single
pywgrib2: 30.7
cfgrib: 20.8
cfgrib is substantially faster. This is mostly due to the default chunking by
pywgrib2_xr, that is one chunk per model reference time. When analogous chunks
are set in the call to xr.open_mfdataset
, cfgrib run time increases to 30 s.
python example1.py dask
<Client: 'tcp://<IP_ADDRESS>:38535' processes=4 threads=8, memory=33.56 GB>
pywgrib2: 8.3
cfgrib: 11.1
Here situation is reversed. There are only two files, so only two processes are used by cfgrib. However with chunking, cfgrib is faster, the run time is about 7 s.
The next example illustrates performance with with a typical archive, where each data file contains weather elements for model run and one forecast time. We will calculate average minimum temperature in the atmosphere over a period of one month. The input files are GFS model with latitude-longitude projection at 0.5 deg resolution. File is about 60 MB. We select mudel runs at 00Z and 12Z and forecast hours 0 (i.e. analysis), 3, 6 and 9. This gives valid times at every 3 hours. There are 31 * 2 * 4 = 248 files. The timing code calculates minimum temperature in a vertical column 1000 to 100 hPa, then averages it over time:
import glob
import sys
import time
from dask.distributed import Client
import numpy as np
import xarray as xr
import pywgrib2_xr as pywgrib2
files = sorted(glob.glob('gfs_4_201801??_?[02]*_00[0369].grb2'))
def pywgrib2_():
p = lambda x: x.varname == 'TMP' and x.level_code == 100
tmpl = pywgrib2.make_template(files[:4], p, vertlevels='isobaric')
ds = pywgrib2.open_dataset(files, tmpl) # , chunks={'time1': 1})
tmp = ds['TMP.isobaric'][:,:,:21,:,:]
ds.close()
return tmp.min('isobaric1').mean(['reftime', 'time1']).compute()
def cfgrib():
args = {'filter_by_keys': {'typeOfLevel': 'isobaricInhPa', 'shortName': 't'}}
nested = [files[::4], files[1::4], files[2::4], files[3::4]]
ds = xr.open_mfdataset(nested, engine='cfgrib', backend_kwargs=args,
combine='nested', concat_dim=['step', 'time'])
tmp = ds['t'][:,:,:21,:,:]
ds.close()
return tmp.min('isobaricInhPa').mean(['time', 'step']).compute()
if __name__ == '__main__':
if sys.argv[1] == 'dask':
client = Client()
print(client)
t = time.time()
tmp1 = pywgrib2_()
print('pywgrib2: {:.1f} s'.format(time.time() - t))
t = time.time()
tmp2 = cfgrib()7.019040584564209
print('cfgrib: {:.1f} s'.format(time.time() - t))
assert np.allclose(tmp1.values[::-1,:], tmp2.values)
ny = tmp1.shape[0]
print('South Pole: {:.2f} degC'.format(tmp1[0,:].mean().values - 273.15))
print('Equator: {:.2f} degC'.format(tmp1[ny//2+1,:].mean().values - 273.15))
print('North Pole: {:.2f} degC'.format(tmp1[ny-1,:].mean().values - 273.15))
The most time consuming part is creation of inventory/index files. The reported times are for runs where the inventory/index files have been created.
python example2.py single
pywgrib2: 48.0 s
cfgrib: 254.3 s
python example2.py dask
pywgrib2: 23.4 s
cfgrib: 98.5 s
South Pole: -52.90 degC
Equator: -81.05 degC
North Pole: -69.65 degC
In this case, cfgrib default step
chunk is 1. If the equivalent pywgrib2
chunk time1
is also set to 1, the run time for single tread increases to
about 48 s, which is still much faster than cfgrib 4 min. The dask run time
stays at about 23 s.


Cash
$0
smoke
sell
My buds
Age in Weeks
0
Height in Inches
0
Number of Buds
0
harvest
Your browser does not support the audio element.


nips nips2001 nips2001-49 nips2001-49-reference knowledge-graph by maker-knowledge-mining
Source: pdf
Author: A. Bofill, D. P. Thompson, Alan F. Murray
Abstract: Experimental data has shown that synaptic strength modification in some types of biological neurons depends upon precise spike timing differences between presynaptic and postsynaptic spikes. Several temporally-asymmetric Hebbian learning rules motivated by this data have been proposed. We argue that such learning rules are suitable to analog VLSI implementation. We describe an easily tunable circuit to modify the weight of a silicon spiking neuron according to those learning rules. Test results from the fabrication of the circuit using a O.6J.lm CMOS process are given. 1


List commits on a repository
GET /repos/:owner/:repo/commits
Parameters
| Name | Type | Description |
|---|---|---|
sha |
string |
SHA or branch to start listing commits from. Default: the repository’s default branch (usually master ). |
path |
string |
Only commits containing this file path will be returned. |
author |
string |
GitHub login or email address by which to filter by commit author. |
since |
string |
Only commits after this date will be returned. This is a timestamp in ISO 8601 format: YYYY-MM-DDTHH:MM:SSZ . |
until |
string |
Only commits before this date will be returned. This is a timestamp in ISO 8601 format: YYYY-MM-DDTHH:MM:SSZ . |
Response
Status: 200 OK
Link: <https://api.github.com/resource?page=2>; rel="next",
<https://api.github.com/resource?page=5>; rel="last"
[
{
"url": "https://api.github.com/repos/octocat/Hello-World/commits/6dcb09b5b57875f334f61aebed695e2e4193db5e",
"sha": "6dcb09b5b57875f334f61aebed695e2e4193db5e",
"html_url": "https://github.com/octocat/Hello-World/commit/6dcb09b5b57875f334f61aebed695e2e4193db5e",
"comments_url": "https://api.github.com/repos/octocat/Hello-World/commits/6dcb09b5b57875f334f61aebed695e2e4193db5e/comments",
"commit": {
"url": "https://api.github.com/repos/octocat/Hello-World/git/commits/6dcb09b5b57875f334f61aebed695e2e4193db5e",
"author": {
"name": "Monalisa Octocat",
"email"<EMAIL_ADDRESS>"date": "2011-04-14T16:00:49Z"
},
"committer": {
"name": "Monalisa Octocat",
"email"<EMAIL_ADDRESS>"date": "2011-04-14T16:00:49Z"
},
"message": "Fix all the bugs",
"tree": {
"url": "https://api.github.com/repos/octocat/Hello-World/tree/6dcb09b5b57875f334f61aebed695e2e4193db5e",
"sha": "6dcb09b5b57875f334f61aebed695e2e4193db5e"
},
"comment_count": 0,
"verification": {
"verified": true,
"reason": "valid",
"signature": "-----BEGIN PGP MESSAGE-----\n...\n-----END PGP MESSAGE-----",
"payload": "tree 6dcb09b5b57875f334f61aebed695e2e4193db5e\n..."
 Pass the appropriate media type to fetch diff and patch formats.
Status: 200 OK
{
"url": "https://api.github.com/repos/octocat/Hello-World/commits/6dcb09b5b57875f334f61aebed695e2e4193db5e",
"sha": "6dcb09b5b57875f334f61aebed695e2e4193db5e",
"html_url": "https://github.com/octocat/Hello-World/commit/6dcb09b5b57875f334f61aebed695e2e4193db5e",
"comments_url": "https://api.github.com/repos/octocat/Hello-World/commits/6dcb09b5b57875f334f61aebed695e2e4193db5e/comments",
"commit": {
"url": "https://api.github.com/repos/octocat/Hello-World/git/commits/6dcb09b5b57875f334f61aebed695e2e4193db5e",
"author": {
"name": "Monalisa Octocat",
"email"<EMAIL_ADDRESS>"date": "2011-04-14T16:00:49Z"
},
"committer": {
"name": "Monalisa Octocat",
"email"<EMAIL_ADDRESS>"date": "2011-04-14T16:00:49Z"
},
"message": "Fix all the bugs",
"tree": {
"url": "https://api.github.com/repos/octocat/Hello-World/tree/6dcb09b5b57875f334f61aebed695e2e4193db5e",
"sha": "6dcb09b5b57875f334f61aebed695e2e4193db5e"
},
"comment_count": 0,
"verification": {
"verified": true,
"reason": "valid",
"signature": "-----BEGIN PGP MESSAGE-----\n...\n-----END PGP MESSAGE-----",
"payload": "tree 6dcb09b5b57875f334f61aebed695e2e4193db5e\n..."
}
},
"author": {
"login": "octocat",
"id": 1,
"avatar_url": "https://github.com/images/error/octocat_happy.gif",
"gravatar_id": "",
"url": "https://api.github.com/users/octocat",
"html_url": "https://github.com/octocat",
"followers_url": "https://api.github.com/users/octocat/followers",
"following_url": "https://api.github.com/users/octocat/following{/other_user}",
"gists_url": "https://api.github.com/users/octocat/gists{/gist_id}",
"starred_url": "https://api.github.com/users/octocat/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/octocat/subscriptions",
"organizations_url": "https://api.github.com/users/octocat/orgs",
"repos_url": "https://api.github.com/users/octocat/repos",
"events_url": "https://api.github.com/users/octocat/events{/privacy}",
"received_events_url": "https://api.github.com/users/octocat/received_events",
"type": "User",
"site_admin": false
},
"committer": {
"login": "octocat",
"id": 1,
"avatar_url": "https://github.com/images/error/octocat_happy.gif",
"gravatar_id": "",
"url": "https://api.github.com/users/octocat",
"html_url": "https://github.com/octocat",
"followers_url": "https://api.github.com/users/octocat/followers",
"following_url": "https://api.github.com/users/octocat/following{/other_user}",
"gists_url": "https://api.github.com/users/octocat/gists{/gist_id}",
"starred_url": "https://api.github.com/users/octocat/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/octocat/subscriptions",
"organizations_url": "https://api.github.com/users/octocat/orgs",
"repos_url": "https://api.github.com/users/octocat/repos",
"events_url": "https://api.github.com/users/octocat/events{/privacy}",
"received_events_url": "https://api.github.com/users/octocat/received_events",
"type": "User",
"site_admin": false
},
"parents": [
{
"url": "https://api.github.com/repos/octocat/Hello-World/commits/6dcb09b5b57875f334f61aebed695e2e4193db5e",
"sha": "6dcb09b5b57875f334f61aebed695e2e4193db5e"
}
],
"stats": {
"additions": 104,
"deletions": 4,
"total": 108
},
"files": [
{
"filename": "file1.txt",
"additions": 10,
"deletions": 2,
"changes": 12,
"status": "modified",
"raw_url": "https://github.com/octocat/Hello-World/raw/7ca483543807a51b6079e54ac4cc392bc29ae284/file1.txt",
"blob_url": "https://github.com/octocat/Hello-World/blob/7ca483543807a51b6079e54ac4cc392bc29ae284/file1.txt",
"patch": "@@ -29,7 +29,7 @@\n....."
}
]
}
Get the SHA-1 of a commit reference
Users with read access can get the SHA-1 of a commit reference:
GET /repos/:owner/:repo/commits/:ref
To access the API you must provide a custom media type in the Accept
header:
application/vnd.github.VERSION.sha
To check if a remote reference's SHA-1 is the same as your local reference's SHA-1, make a GET
request and provide the current SHA-1 for the local reference as the ETag.
Response
The SHA-1 of the commit reference.
Status: 200 OK
814412cfbd631109df337e16c807207e78c0d24e
Compare two commits
GET /repos/:owner/:repo/compare/:base...:head
Both :base
and :head
must be branch names in :repo
. To compare branches across other repositories in the same network as :repo
, use the format <USERNAME>:branch
. For example:
GET /repos/:owner/:repo/compare/hubot:branchname...octocat:branchname
Response
The response from the API is equivalent to running the git log base..head
command; however, commits are returned in reverse chronological order.
Pass the appropriate media type to fetch diff and patch formats.
{
"url": "https://api.github.com/repos/octocat/Hello-World/compare/master...topic",
"html_url": "https://github.com/octocat/Hello-World/compare/master...topic",
"permalink_url": "https://github.com/octocat/Hello-World/compare/octocat:bbcd538c8e72b8c175046e27cc8f907076331401...octocat:0328041d1152db8ae77652d1618a02e57f745f17",
"diff_url": "https://github.com/octocat/Hello-World/compare/master...topic.diff",
"patch_url": "https://github.com/octocat/Hello-World/compare/master...topic.patch",
"base_commit": {
"url": "https://api.github.com/repos/octocat/Hello-World/commits/6dcb09b5b57875f334f61aebed695e2e4193db5e",
"sha": "6dcb09b5b57875f334f61aebed695e2e4193db5e",
"html_url": "https://github.com/octocat/Hello-World/commit/6dcb09b5b57875f334f61aebed695e2e4193db5e",
"comments_url": "https://api.github.com/repos/octocat/Hello-World/commits/6dcb09b5b57875f334f61aebed695e2e4193db5e/comments",
"commit": {
"url": "https://api.github.com/repos/octocat/Hello-World/git/commits/6dcb09b5b57875f334f61aebed695e2e4193db5e",
"author": {
"name": "Monalisa Octocat",
"email"<EMAIL_ADDRESS>"date": "2011-04-14T16:00:49Z"
},
"committer": {
"name": "Monalisa Octocat",
"email"<EMAIL_ADDRESS>"date": "2011-04-14T16:00:49Z"
},
"message": "Fix all the bugs",
"tree": {
"url": "https://api.github.com/repos/octocat/Hello-World/tree/6dcb09b5b57875f334f61aebed695e2e4193db5e",
"sha": "6dcb09b5b57875f334f61aebed695e2e4193db5e"
},
"comment_count": 0,
"verification": {
"verified": true,
"reason": "valid",
"signature": "-----BEGIN PGP MESSAGE-----\n...\n-----END PGP MESSAGE-----",
"payload": "tree 6dcb09b5b57875f334f61aebed695e2e4193db5e\n..."
}
},
"author": {
"login": "octocat",
"id": 1,
"avatar_url": "https://github.com/images/error/octocat_happy.gif",
"gravatar_id": "",
"url": "https://api.github.com/users/octocat",
"html_url": "https://github.com/octocat",
"followers_url": "https://api.github.com/users/octocat/followers",
"following_url": "https://api.github.com/users/octocat/following{/other_user}",
"gists_url": "https://api.github.com/users/octocat/gists{/gist_id}",
"starred_url": "https://api.github.com/users/octocat/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/octocat/subscriptions",
"organizations_url": "https://api.github.com/users/octocat/orgs",
"repos_url": "https://api.github.com/users/octocat/repos",
"events_url": "https://api.github.com/users/octocat/events{/privacy}",
"received_events_url": "https://api.github.com/users/octocat/received_events",
"type": "User",
"site_admin": false
},
"committer": {
"login": "octocat",
"id": 1,
"avatar_url": "https://github.com/images/error/octocat_happy.gif",
"gravatar_id": "",
"url": "https://api.github.com/users/octocat",
"html_url": "https://github.com/octocat",
"followers_url": "https://api.github.com/users/octocat/followers",
"following_url": "https://api.github.com/users/octocat/following{/other_user}",
"gists_url": "https://api.github.com/users/octocat/gists{/gist_id}",
"starred_url": "https://api.github.com/users/octocat/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/octocat/subscriptions",
"organizations_url": "https://api.github.com/users/octocat/orgs",
"repos_url": "https://api.github.com/users/octocat/repos",
"events_url": "https://api.github.com/users/octocat/events{/privacy}",
"received_events_url": "https://api.github.com/users/octocat/received_events",
"type": "User",
"site_admin": false
},
"parents": [
{
"url": "https://api.github.com/repos/octocat/Hello-World/commits/6dcb09b5b57875f334f61aebed695e2e4193db5e",
"sha": "6dcb09b5b57875f334f61aebed695e2e4193db5e"
}
]
},
"merge_base_commit": {
"url": "https://api.github.com/repos/octocat/Hello-World/commits/6dcb09b5b57875f334f61aebed695e2e4193db5e",
"sha": "6dcb09b5b57875f334f61aebed695e2e4193db5e",
"html_url": "https://github.com/octocat/Hello-World/commit/6dcb09b5b57875f334f61aebed695e2e4193db5e",
"comments_url": "https://api.github.com/repos/octocat/Hello-World/commits/6dcb09b5b57875f334f61aebed695e2e4193db5e/comments",
"commit": {
"url": "https://api.github.com/repos/octocat/Hello-World/git/commits/6dcb09b5b57875f334f61aebed695e2e4193db5e",
"author": {
"name": "Monalisa Octocat",
"email"<EMAIL_ADDRESS>"date": "2011-04-14T16:00:49Z"
},
"committer": {
"name": "Monalisa Octocat",
"email"<EMAIL_ADDRESS>"date": "2011-04-14T16:00:49Z"
},
"message": "Fix all the bugs",
"tree": {
"url": "https://api.github.com/repos/octocat/Hello-World/tree/6dcb09b5b57875f334f61aebed695e2e4193db5e",
"sha": "6dcb09b5b57875f334f61aebed695e2e4193db5e"
},
"comment_count": 0,
"verification": {
"verified": true,
"reason": "valid",
"signature": "-----BEGIN PGP MESSAGE-----\n...\n-----END PGP MESSAGE-----",
"payload": "tree 6dcb09b5b57875f334f61aebed695e2e4193db5e\n..."
}
},
"author": {
"login": "octocat",
"id": 1,
"avatar_url": "https://github.com/images/error/octocat_happy.gif",
"gravatar_id": "",
"url": "https://api.github.com/users/octocat",
"html_url": "https://github.com/octocat",
"followers_url": "https://api.github.com/users/octocat/followers",
"following_url": "https://api.github.com/users/octocat/following{/other_user}",
"gists_url": "https://api.github.com/users/octocat/gists{/gist_id}",
"starred_url": "https://api.github.com/users/octocat/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/octocat/subscriptions",
"organizations_url": "https://api.github.com/users/octocat/orgs",
"repos_url": "https://api.github.com/users/octocat/repos",
"events_url": "https://api.github.com/users/octocat/events{/privacy}",
"received_events_url": "https://api.github.com/users/octocat/received_events",
"type": "User",
"site_admin": false
},
"committer": {
"login": "octocat",
"id": 1,
"avatar_url": "https://github.com/images/error/octocat_happy.gif",
"gravatar_id": "",
"url": "https://api.github.com/users/octocat",
"html_url": "https://github.com/octocat",
"followers_url": "https://api.github.com/users/octocat/followers",
"following_url": "https://api.github.com/users/octocat/following{/other_user}",
"gists_url": "https://api.github.com/users/octocat/gists{/gist_id}",
"starred_url": "https://api.github.com/users/octocat/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/octocat/subscriptions",
"organizations_url": "https://api.github.com/users/octocat/orgs",
"repos_url": "https://api.github.com/users/octocat/repos",
"events_url": "https://api.github.com/users/octocat/events{/privacy}",
"received_events_url": "https://api.github.com/users/octocat/received_events",
"type": "User",
"site_admin": false
},
"parents": [
{
"url": "https://api.github.com/repos/octocat/Hello-World/commits/6dcb09b5b57875f334f61aebed695e2e4193db5e",
"sha": "6dcb09b5b57875f334f61aebed695e2e4193db5e"
}
]
},
"status": "behind",
"ahead_by": 1,
"behind_by": 2,
"total_commits": 1,
"commits": [
{
"url": "https://api.github.com/repos/octocat/Hello-World/commits/6dcb09b5b57875f334f61aebed695e2e4193db5e",
"sha": "6dcb09b5b57875f334f61aebed695e2e4193db5e",
"html_url": "https://github.com/octocat/Hello-World/commit/6dcb09b5b57875f334f61aebed695e2e4193db5e",
"comments_url": "https://api.github.com/repos/octocat/Hello-World/commits/6dcb09b5b57875f334f61aebed695e2e4193db5e/comments",
"commit": {
"url": "https://api.github.com/repos/octocat/Hello-World/git/commits/6dcb09b5b57875f334f61aebed695e2e4193db5e",
"author": {
"name": "Monalisa Octocat",
"email"<EMAIL_ADDRESS>"date": "2011-04-14T16:00:49Z"
},
"committer": {
"name": "Monalisa Octocat",
"email"<EMAIL_ADDRESS>"date": "2011-04-14T16:00:49Z"
},
"message": "Fix all the bugs",
"tree": {
"url": "https://api.github.com/repos/octocat/Hello-World/tree/6dcb09b5b57875f334f61aebed695e2e4193db5e",
"sha": "6dcb09b5b57875f334f61aebed695e2e4193db5e"
},
"comment_count": 0,
"verification": {
"verified": true,
"reason": "valid",
"signature": "-----BEGIN PGP MESSAGE-----\n...\n-----END PGP MESSAGE-----",
"payload": "tree 6dcb09b5b57875f334f61aebed695e2e4193db5e\n..."
}
},
"author": {
"login": "octocat",
"id": 1,
"avatar_url": "https://github.com/images/error/octocat_happy.gif",
"gravatar_id": "",
"url": "https://api.github.com/users/octocat",
"html_url": "https://github.com/octocat",
"followers_url": "https://api.github.com/users/octocat/followers",
"following_url": "https://api.github.com/users/octocat/following{/other_user}",
"gists_url": "https://api.github.com/users/octocat/gists{/gist_id}",
"starred_url": "https://api.github.com/users/octocat/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/octocat/subscriptions",
"organizations_url": "https://api.github.com/users/octocat/orgs",
"repos_url": "https://api.github.com/users/octocat/repos",
"events_url": "https://api.github.com/users/octocat/events{/privacy}",
"received_events_url": "https://api.github.com/users/octocat/received_events",
"type": "User",
"site_admin": false
},
"committer": {
"login": "octocat",
"id": 1,
"avatar_url": "https://github.com/images/error/octocat_happy.gif",
"gravatar_id": "",
"url": "https://api.github.com/users/octocat",
"html_url": "https://github.com/octocat",
"followers_url": "https://api.github.com/users/octocat/followers",
"following_url": "https://api.github.com/users/octocat/following{/other_user}",
"gists_url": "https://api.github.com/users/octocat/gists{/gist_id}",
"starred_url": "https://api.github.com/users/octocat/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/octocat/subscriptions",
"organizations_url": "https://api.github.com/users/octocat/orgs",
"repos_url": "https://api.github.com/users/octocat/repos",
"events_url": "https://api.github.com/users/octocat/events{/privacy}",
"received_events_url": "https://api.github.com/users/octocat/received_events",
"type": "User",
"site_admin": false
},
"parents": [
{
"url": "https://api.github.com/repos/octocat/Hello-World/commits/6dcb09b5b57875f334f61aebed695e2e4193db5e",
"sha": "6dcb09b5b57875f334f61aebed695e2e4193db5e"
}
]
}
],
"files": [
{
"sha": "bbcd538c8e72b8c175046e27cc8f907076331401",
"filename": "file1.txt",
"status": "added",
"additions": 103,
"deletions": 21,
"changes": 124,
"blob_url": "https://github.com/octocat/Hello-World/blob/6dcb09b5b57875f334f61aebed695e2e4193db5e/file1.txt",
"raw_url": "https://github.com/octocat/Hello-World/raw/6dcb09b5b57875f334f61aebed695e2e4193db5e/file1.txt",
"contents_url": "https://api.github.com/repos/octocat/Hello-World/contents/file1.txt?ref=6dcb09b5b57875f334f61aebed695e2e4193db5e",
"patch": "@@ -132,7 +132,7 @@ module Test @@ -1000,7 +1000,7 @@ module Test"
}
]
}
Working with large comparisons
The response will include a comparison of up to 250 commits. If you are working with a larger commit range, you can use the Commit List API to enumerate all commits in the range.
For comparisons with extremely large diffs, you may receive an error response indicating that the diff took too long to generate. You can typically resolve this error by using a smaller commit range.
Commit signature verification
Commit response objects including signature verification data are currently available for developers to preview. During the preview period, the object formats may change without advance notice. Please see the blog post for full details.
To receive signature verification data in commit objects you must provide a custom media type in the Accept
header:
application/vnd.github.cryptographer-preview
GET /repos/:owner/:repo/commits/:sha
Response
Status: 200 OK
{
"url": "https://api.github.com/repos/octocat/Hello-World/commits/6dcb09b5b57875f334f61aebed695e2e4193db5e",
"sha": "6dcb09b5b57875f334f61aebed695e2e4193db5e",
"html_url": "https://github.com/octocat/Hello-World/commit/6dcb09b5b57875f334f61aebed695e2e4193db5e",
"comments_url": "https://api.github.com/repos/octocat/Hello-World/commits/6dcb09b5b57875f334f61aebed695e2e4193db5e/comments",
"commit": {
"url": "https://api.github.com/repos/octocat/Hello-World/git/commits/6dcb09b5b57875f334f61aebed695e2e4193db5e",
"author": {
"name": "Monalisa Octocat",
"email"<EMAIL_ADDRESS>"date": "2011-04-14T16:00:49Z"
},
"committer": {
"name": "Monalisa Octocat",
"email"<EMAIL_ADDRESS>"date": "2011-04-14T16:00:49Z"
},
"message": "Fix all the bugs",
"tree": {
"url": "https://api.github.com/repos/octocat/Hello-World/tree/6dcb09b5b57875f334f61aebed695e2e4193db5e",
"sha": "6dcb09b5b57875f334f61aebed695e2e4193db5e"
},
"comment_count": 0,
"verification": {
"verified": true,
"reason": "valid",
"signature": "-----BEGIN PGP MESSAGE-----\n...\n-----END PGP MESSAGE-----",
"payload": "tree 6dcb09b5b57875f334f61aebed695e2e4193db5e\n..."
}
},
"author": {
"login": "octocat",
"id": 1,
"avatar_url": "https://github.com/images/error/octocat_happy.gif",
"gravatar_id": "",
"url": "https://api.github.com/users/octocat",
"html_url": "https://github.com/octocat",
"followers_url": "https://api.github.com/users/octocat/followers",
"following_url": "https://api.github.com/users/octocat/following{/other_user}",
"gists_url": "https://api.github.com/users/octocat/gists{/gist_id}",
"starred_url": "https://api.github.com/users/octocat/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/octocat/subscriptions",
"organizations_url": "https://api.github.com/users/octocat/orgs",
"repos_url": "https://api.github.com/users/octocat/repos",
"events_url": "https://api.github.com/users/octocat/events{/privacy}",
"received_events_url": "https://api.github.com/users/octocat/received_events",
"type": "User",
"site_admin": false
},
"committer": {
"login": "octocat",
"id": 1,
"avatar_url": "https://github.com/images/error/octocat_happy.gif",
"gravatar_id": "",
"url": "https://api.github.com/users/octocat",
"html_url": "https://github.com/octocat",
"followers_url": "https://api.github.com/users/octocat/followers",
"following_url": "https://api.github.com/users/octocat/following{/other_user}",
"gists_url": "https://api.github.com/users/octocat/gists{/gist_id}",
"starred_url": "https://api.github.com/users/octocat/starred{/owner}{/repo}",
"subscriptions_url": "https://api.github.com/users/octocat/subscriptions",
"organizations_url": "https://api.github.com/users/octocat/orgs",
"repos_url": "https://api.github.com/users/octocat/repos",
"events_url": "https://api.github.com/users/octocat/events{/privacy}",
"received_events_url": "https://api.github.com/users/octocat/received_events",
"type": "User",
"site_admin": false
},
"parents": [
{
"url": "https://api.github.com/repos/octocat/Hello-World/commits/6dcb09b5b57875f334f61aebed695e2e4193db5e",
"sha": "6dcb09b5b57875f334f61aebed695e2e4193db5e"
}
]
}
verification
object
The The response will include a verification
field whose value is an object describing the result of verifying the commit's signature. The following fields are included in the verification
object:
| Name | Type | Description |
|---|---|---|
verified |
boolean |
Does GitHub consider the signature in this commit to be verified? |
reason |
string |
The reason for verified value. Possible values and their meanings are enumerated in the table below. |
signature |
string |
The signature that was extracted from the commit. |
payload |
string |
The value that was signed. |
reason
field
The The following are possible reason
s that may be included in the verification
object:
| Value | Description |
|---|---|
expired_key |
The key that made the signature is expired. |
not_signing_key |
The "signing" flag is not among the usage flags in the GPG key that made the signature. |
gpgverify_error |
There was an error communicating with the signature-verification service. |
gpgverify_unavailable |
The signature-verification service is currently unavailable. |
unsigned |
The object does not include a signature. |
unkown_signature_type |
A non-PGP signature was found in the commit. |
no_user |
No user was associated with the committer email address in the commit. |
unverified_email |
The committer email address in the commit was associated with a user, but the email address is not verified on her/his account. |
bad_email |
The committer email address in the commit is not included in the identities of the PGP key that made the signature. |
unknown_key |
The key that made the signature has not been registered with any user's account. |
malformed_signature |
There was an error parsing the signature. |
invalid |
The signature could not be cryptographically verified using the key whose key-id was found in the signature. |
valid |
None of the above errors applied, so the signature is considered to be verified. |


Max motors
Email us
(514) 983-5808
En
119 Avenue Labrosse, Pointe-Claire, QC H9R 1A3
Inventory
About Us
Contact Us
Welcome to maxmotors
We sell cars.
This is a test to see if anything breaks length wise on the mobile website.


Values, empathy and self-awareness is incredibly important for learning and programming. Establishing a healthy core is vital to being able to stay sane and persevere through all the learning and programming. Learning and programming can deplete the stores of the mind and body. The role of the core is to replenish the mind and body.
I was surprised in how beneficial it was for learning how to code. It was able to help me keep a healthy mindset and not take myself too seriously and fall down into a mentally unhealthy mindset. It helped me to keep going in difficult situations and take breaks when I need to so that I can be productive when I get back to learning. Sometimes you need periods being unproductive so that you can be productive when you need to be.
The most challenging part was to implement what I learned about neuroplasticity and growth mindset. Changing how I think and approach things is difficult and can take some time before it can become a habit instead of a conscious effort.
Web Development isn’t solely about the hard skills and the tech aspect. You can never seperate soft skills from any profession. It’s an essential part for any job and thus why we need to learn more about core skills and develop ourselves in that area as well.
No I don’t feel like is was a waste of time. I think It’s an essential part of learning and ends up helping the learner to learn better than they did before. It helps to put the learner in a healthy mindset so that they are able to handle the pressure and stresses of learning a large amount of content in a small amount of time. The harder the technical task, the more crucial it is to have core learning.


NPAPI Plugin support for extension has been discontinued. The documentation below is preserved for historical purposes only.
Leveraging HTML and JavaScript makes developing new extensions really easy, but what if you have existing legacy or proprietary code that you want to reuse in your extension? You can bundle an NPAPI plugin with your extension, allowing you to call into native binary code from JavaScript.
NPAPI is a really big hammer that should only be used when no other approach will work.
Code running in an NPAPI plugin has the full permissions of the current user and is not sandboxed or shielded from malicious input by Google Chrome in any way. You should be especially cautious when processing input from untrusted sources, such as when working with {{^is_apps}} content scripts or {{/is_apps}} XMLHttpRequest.
Because of the additional security risks NPAPI poses to users, extensions that use it will require manual review before being accepted in the Chrome Web Store.
How to develop an NPAPI plugin is outside the scope of this document. See Mozilla's NPAPI plugin reference for information on how to do that.
Once you have an NPAPI plugin, follow these steps to get your extension using it.
manifest.json
that describes where to find the plugin,
along with other properties about it:
{ "name": "My extension", ... "plugins": [ { "path": "extension_plugin.dll" } ], ... }
The "path" property specifies the path to your plugin,
relative to the manifest file.
The "public" property specifies whether
your plugin can be accessed by regular web pages;
the default is false,
meaning only your extension can load the plugin. Add
"public": true
to make your plugin accessible on
regular web pages and content scripts. But
be careful - any
web page will then be able to call into your plugin.
<embed type="application/x-my-extension" id="pluginId"> <script> var plugin = document.getElementById("pluginId"); var result = plugin.myPluginMethod(); // call a method in your plugin console.log("my plugin returned: " + result); </script>
This can be inside a background page or any other HTML page used by your extension. If your plugin is "public", you can even use a content script to programmatically insert your plugin into a web page.
Including an NPAPI plugin in your extension is dangerous because plugins have unrestricted access to the local machine. If your plugin contains a vulnerability, an attacker might be able to exploit that vulnerability to install malicious software on the user's machine. Instead, avoid including an NPAPI plugin whenever possible.
 Instead, avoid making your NPAPI plugin public whenever possible.


--- layout: post status: publish published: true title: Podcast 3.31 - A Steaming Pile of Cubs Talk author: display_name: Corey Fineran login: Corey email<EMAIL_ADDRESS>url: '' author_login: Corey author_email<EMAIL_ADDRESS>wordpress_id: 5766 wordpress_url: http://ivyenvy.com/?p=5766 date: '2011-07-23 12:55:41 +0000' date_gmt: '2011-07-23 17:55:41 +0000' categories: - Podcast tags: - Jim Hendry - Mike Quade - Podcast - Tim Sheridan - Starlin Castro - Tom Ricketts - Darwin Barney comments: [] ---
Andy and Corey look ahead to the trading deadline and discuss the moves that the Cubs could make and the idea of re-building. We also continue the discussion the situations with Hendry and Quade.
Mike Quade calls out Starlin Castro and Darwin Barney for their miscommunication in the infield and we tell you whether we agree with this action or not. We touch on a few topics that were given to us by listeners and we pick a photo caption winner.
Be on the look-out for an interview with Tim Sheridan. That should be up on Wednesday and he'll be sharing information on a project he's working on.
Corey will have the opportunity to meet Tom Ricketts and participate in a media session with the Cubs' Chairman. We know you have lots of questions for Ricketts and we want to hear them. Be on the lookout for a thread on our Facebook page early next week. Or, you can email them to me and we'll read them all on the next podcast episode.


what is produced when you cut a solid into two.
You can then see what the inside of the solid looks like.


Patching onto the Web:
An Emerging CL-HTTP Success Story
Byron Davies
Motorola Logic and Analog Technology Group
<EMAIL_ADDRESS>(602) 655-2911 Mesa, Arizona
Victoria Bryan Davies
Industrial Lisp and Magic
<EMAIL_ADDRESS>(602) 759-8228 Phoenix, Arizona
Introduction
This paper reports on the successful application of dynamic object technology
in rapidly putting a large factory database onto the web. MIT's Common
Lisp web server software, CL-HTTP [Mallery 1994], was used to convert a
standalone Lisp application into a nearly instant web server. Besides the
CL-HTTP software itself, the conversion required a total of about 100 lines
of new code, including one new class, two new explicitly exported URLs,
and the modification of 5 existing methods and functions. The conversion
did not require either recompiling or rebuilding the existing application.
In effect, thanks to dynamic object technology, the conversion from
single-user
application to web server amounted to applying a patch.
The web application is part of an ongoing project to develop automated tools
for scheduling wafer fabs (factories in which semiconductor wafers are
fabricated)
in Motorola's Semiconductor Products Sector. The project is grounded in
the belief that manufacturing managers and associates need an explicit,
accurate, detailed, and timely model of the factory and its past, present,
and future behavior. When completed, the resulting tool set will have six
major components: fab model, fab model extraction software, fab browser,
historical data browser, scheduling system, and execution system.
The Fab Browser
The Fab Browser is a relatively mature application. Building on [Davies
91], the Fab Browser is a textual outline browser, implemented in the style
of Dired within MCL's Fred version of Emacs. In the browser, an object
is displayed as lines of text, each representing a component or attribute
of the project. Some of the text lines represent other objects, which may
in turn be expanded into multiline displays. Though very general, the Fab
Browser has been highly customized for displaying wafer fab data, with
specialized
views of the fab model, scheduling data, and historical data. Using expansion
methods that optionally depend on the customer for the display, the Fab
Browser is further customized to the needs of each fab, and even to the
needs of individuals within the fab,
The basic implementation of the Fab Browser is straightforward. The top
level is a function which initializes the Fred buffer with lines of text
representing major structural components of the wafer fab and operational
data. Each line is inserted by a function called insert-line,
which inserts a line of text in the buffer and associates an object with
the line of text. When such a line is double-clicked, the Fab Browser invokes
the expand method for the object associated with the line. Each
object class in the Orchestra factory representation has an expand
method, which inserts multiple lines describing the object into the buffer.
Hence, information is displayed in the Fab Browser by repeated handoffs
between the expand methods for objects and the insert-line
function.
Besides the basic expand capability, the Fab Browser offers other ways of
extracting information about a selected object, mechanisms for contracting
previous expansions, and a mechanisms for creating a hardcopy report of
data that has been expanded. The Fab Browser also offers mechanisms for
text filtering of potentially large expansions.
Users find the Fab Browser powerful and easy to use. They like being able
to get a high-level summary of fab data and then expand the summary to
arbitrary
levels of detail using only the mouse. They like the speed of the browser:
expansions happen very quickly because tens of megabytes of manufacturing
data are cached, in a network of CLOS objects, within the browser
application.
Because of the large amount of data cached within it, the browser application
runs in 70 to 100+ megabytes of memory, depending on the amount of historical
or projected data. This was a significant roadblock to widespread use of
the browser, both because of the amount of RAM needed to run such applications
efficiently and because of problems of keeping large applications up to
date on multiple desktops, some connected by modem lines. The situation
demanded a client-server solution, but resources were not available to create
either a customized server or a customized client.
Enter the Web
Late in 1995, we began investigating CL-HTTP as a possible means of providing
web access to Orchestra data. For a time, because of problems with the
MCL implementation of IP/TCP networking, we could not get CL-HTTP to operate
properly in our large-address-space MCL applications. Once John Mallery
reimplemented MCL's MacTCP interface in March 1996, we were able to make
progress on converting Orchestra to the web. The goals for the web
implementation
were to (1) provide access to the same data, (2) preserve the look and feel,
which had already demonstrated its effectiveness, (3) preserve performance,
and (4) eliminate dependence on a heavyweight, expensive user platform in
favor of lightweight, inexpensive client software.
The result: once the MacTCP problems were resolved, we ported the outline
browser to CL-HTTP in about one person-week. The goals for the web
implementation
were achieved for the most part. Fab data is now accessible through a web
browser to anyone in the wafer fab with a computer, whether Mac, PC, or
Unix. The look and feel of the web interface are somewhat different from
the original single-user version. The main difference is due to the
inability
to do in-place outline expansion. The single-user application uses multiple
levels of nested indentation (like the twist-down behavior of the Mac Finder
under System 7). The web version brings up a new window for each expansion
(like the Finder under System 6). Per character displayed, the web interface
is slower than the single-user interface, but feels like typical web access.
Both network delay and CL-HTTP overhead appear to be factors.
Thanks to CL-HTTP, the implementation was almost a trivial undertaking,
once we understood what we needed to do. After loading the CL-HTTP software
into the application, the port from single-user to server required about
100 lines of new code, with significant changes to only five functions in
the original implementation. As described, the original was implemented
as recursive hand-offs between the expand methods, which know how
to format the complete display of an object, and the insert-line
function, which formats each line of the expansion. The main changes were
to put the CL-HTTP server in charge of issuing the expand methods, through
an appropriate "search URL," and to force insert-line
to emit HTML to the appropriate stream when serving the web. The HTML sent
by insert-line includes an URL which can be used to expand the
object associated with the line.
To serve multiple users, the server generates, for each user, an instance
of a new class, a connection object. The connection object maintains an
index of the URLs to which the user has been given access and to the objects
referenced by the URLs. URLs encode both the connection ID and an integer
index to Lisp objects that have been made visible to the user by
insert-line.
Although our web implementation of the Fab Browser is still in prototype
form, it promises the client/server solution that we long needed. CL-HTTP
and MCL have provided a strong foundation for rapid progress.
First, CL-HTTP provides - in our usual Common Lisp environment - the
advantages
of an embedded web server: (1) direct access to data, without the need for
an intervening CGI-style interface, (2) access to existing Lisp software,
including format, (3) easy compatibility between the single-user, Fred-based
interface and the web interface, and (4) higher performance than a more
loosely coupled solution.
Second, MCL (and Common Lisp in general) provides the advantages of dynamic
object technology. Because of this, we were able to create a web server
by patching the single-user application. We did not need to recompile or
even rebuild the original application. We simply loaded the CL-HTTP software
and the few needed changes into the existing application - and we were on
the web. Dynamic object technology provided the most tangible benefit in
modifying the properties of the expand methods to output to the
web. To change all of the expand methods (for dozens of different
classes), we needed only to change the default :before,
:after,
and :around methods for expand.
Our near-term plans include capturing additional aspects of the Fab Browser,
such as filtering of output through text-matching and the transmission of
graphical output (e.g., column and bar charts) across the web. The next
step will be to recapture client-mediated, in-place, indented expansion,
probably with Java.
Conclusion
Dynamic object technology wins again, with CL-HTTP as the vehicle. CL-HTTP,
layered on top of an existing object-oriented Lisp application, has made
it possible - even easy - to rapidly retarget a valuable data browsing
application
to the web.
Acknowledgments
The authors are grateful to John Mallery for CL-HTTP, Digitool for MCL,
Steve Mitchell for ongoing discussions, and Bill Chapman at Motorola for
providing an environment for innovation.
References
[Davies 1991] Byron Davies. Process Specifications and Process Knowledge
in Semiconductor Manufacturing. Stanford University EE Ph.D. Thesis,
1991.
[Mallery 1994] John C. Mallery. "A Common LISP Hypermedia Server".
In Proceedings of The First International Conference on the World-Wide
Web, Geneva: CERN, May 25, 1994.


Mr. Tom LaVergne Jr.
Staples
436 Southbridge Street
Auburn, MA 01501
508.721.9500
Mr. John Remillard
Remillard Fencing
47 Maple Street
Spencer, MA 01562
508.885.6416
Mr. Joseph Cicero
Bay Path Regional Vocational Technical High School
57 Old Muggett Hill Road
Charlton, MA 01507
508.248.5971
Mr. Chris Hickman
Bay Path Regional Vocational Technical High School
57 Old Muggett Hill Road
Charlton, MA 01507
508.248.5971
Ms. Katie Cunningham
Bay Path Regional Vocational Technical High School
57 Old Muggett Hill Road
Charlton, MA 01507
508.248.5971


The designer has the vision of creativity.
Accomplished and highly motivated web designer, able to bring forth a conceptual approach using creative design skills and technical capabilities to achieve goals. I have a strong knowledge base in web and graphic design and experience with the most current technologies. Consistently follow all new technology trends. Dedicated to learning, evaluating and applying new technologies in order to enhance content and functionality. Advanced knowledge of all Adobe products.
In the beginning, I had a huge passion for video games and still do; but my interest as a web designer took off. In order to learn more, I enrolled at my local community college to pursue graphic design. I took an Adobe Photoshop class and that is when my creativity started to develop. After the first year in school, I was constantly learning everything that I could about Photoshop. After finishing many projects, I set up an online portfolio.
The creativity of the designer attracts the crowd.
To get the best, you got to have the best technology.
To achieve the best results, time is in favor.


Uses your dividend balance to buy more tokens at the current rate.
Withdraw your dividends balance back into your Ethereum wallet.
WARNING This is your wallet's seed. If you lose this, you lose access to your ETH and any IND along with it. This is only ever stored locally in your web browser. If you clear your browser data, generate a new wallet over an existing, or your computer dies, and you don't have this saved anywhere, nobody can recover this for you. Seriously, save it somewhere safe.
Send ETH to another address.
To deposit ETH into this wallet, send ETH to your public address:
0xb316d056b3d474e178011b31fe6d616b64dd6e2d
The donation address is a multi-sig wallet that requires two core developers to approve any withdrawals. Funds will be used solely for the purpose of advertising IND.
If you prefer, you can send donations directly to 0xf7739b3dec6eb07761ad88b8f43f6357836be9c3
• First of all, install MetaMask here and put some Ether in it.
• To buy IND, simply click the "Buy Tokens" button and enter the amount of Ether you want to convert to IND, based on the current Buy Price. When confirming the transaction on MetaMask, be sure to use a high enough gas price so that the price doesn't change drastically while the transaction is in progress. Here you can view recommended gas prices. Buying coins will increase both the Buy Price and Sell Price with 0.0000001 ETH per bought coin once the transaction is complete.
• Under "IND Token Balance" you can see how many IND you currently own. Note that when cashing out coins, the Buy Price and Sell Price drop afterwards, decreasing the value of your (and everyone else's) coins by 0.0000001 ETH per coin.
• Every time IND are bought or sold, a percentage of the fee from the bought/sold coins will be divided under the current IND holders (Dividends).
• You can move your tokens into Dividends which then is stored as Ether. To do this click on the "Sell Tokens" button - and your tokens will be transferred into Ether based upon the current sell price.
• You can also use your dividends to immediately purchase more IND tokens by selecting "Buy with Dividends".
• To cash out your IND, click the "Withdraw" button and follow the prompts.


Speech
Education Minister Elizabeth Truss spoke to computer science teachers about the importance of computing skills.
Thank you to Google for hosting today’s event and supporting the Turing exhibition.
We need a young generation that are not just inspired by ‘Turing’s Cathedral’ - but are capable of building it.
I was looking at the 3D printers on display, and learned that these designs come from the US and China. Let’s make sure the next generation comes from the UK. Let’s make sure our young people are creating the software and the hardware behind the next generation of computers.
It’s important to recognise that computing has a basis in many subjects. We’re working on improving the maths curriculum, the science curriculum, and the design and technology curriculum - all to reflect the needs of the modern world.
That’s why we are promoting arithmetic in primary schools, making sure that children have a sound understanding of ratios, proportions, algebra - all of those things that underlie modern logic, the foundation of computing.
That’s why we want more students studying maths until 18. At the moment in England we have a low proportion of 16- to 18-year-olds studying maths - only about 20%, while in countries like Japan and Germany, it is over 80%.
We are creating a new core maths qualification for 16- to 18-year-olds, so those who do not want to do A level maths will be able to continue the subject.
This will help with things like coding, understanding risk, analytical thinking - essential computing skills.
Of course, the new computing curriculum is perhaps one of the most dramatic changes that we are putting in place.
The idea is that from primary school-age children will be acquainted with programming - using things like Scratch and Raspberry Pi - will be able to understand what an algorithm is, what a list of instructions is.
When they get in to secondary school they will learn to use 2 programming languages. Just as we’re making sure that all students are learning to speak foreign languages, the language of computing is one we need for the modern world.
The new design and technology curriculum exposes students to things like bio-mimicry and 3D printers - and that will enable schools to create really exciting and interesting lessons that engage students and cross over between those disciplines - between design and technology and computing to maths to science to music to art.
I am delighted to be able to announce today that we are establishing a new £1 million programme to support computing in primary schools: a computing readiness programme with the British Computer Society.
It will provide online resources and exemplars to help primary school teachers get up to speed. The British Computer Society will be recruiting and training volunteers and running workshops with the aim of supporting 20,000 school teachers.
I went to school in the 80s and 90s when computers were new. We used to have great fun in our computer laboratory programming BASIC , or looking at the early versions of Windows.
There is a lot of latent expertise within our schools, and a lot of teachers who are real enthusiasts. As well as having programmes that help teachers understand about the curriculum, we also need to relight that enthusiasm that is there, waiting to be tapped, in many schools - and I think the BCS programme will really help to do that.
One of the messages I really want to get across is that these skills in maths, computing and physics are now universal skills - not just for a minority who might work in fields of interest.
Whatever career you follow, it’s important.
I was struck that over 60% of children say that they want to go in to business, for example.
Well, we need to get across that it is not just to be a scientist or an engineer that you need to be studying these subjects - but also if you want to be a successful business person.
If you go in to agriculture, you need to know how to program a computer. If you go in to fashion there is a lot in modern design that involves computing. If you go in to retail much more of that is now computer based.
If you want to understand how the world works, if you want to be a part of the modern world, you need to study those subjects - because they will help you get the job you want, whatever it is.
And we need to make sure that message gets to girls in particular. We need to make sure they know that maths, physics and computer science are exciting subjects - and that they are also subjects that can command some of the highest earning premiums.
We need to provide inspiration, the motivation and the encouragement for girls to carry on doing those subjects.
Because we do not have a good record in this country. I am sure you are going to hear about our record in computer science. The record in physics and maths is not much better. Even though girls start off just as good at maths as boys, they do not have the same level of confidence. Of all the students that get an A* at physics GCSE , half of the boys go on to do physics A level, but only 1 in 5 of the girls do.
So it’s up to all of us to encourage girls and say, you are just as good as the boys, you can do it - carry on going. It is going to be really important to help you have a really successful, fulfilling career in the future. It is going to support your future achievements.
And I am keen to work with everyone in this room to help get that message out to our young people.
If we are to make these skills truly universal - if we are to produce the next big technology - the next idea beyond 3D printers in this country - we need to make sure that it’s a truly universal skill, that we all have, and all take seriously - both boys and girls.
So, I thank Google and everyone here for your work. There is a great buzz and a fantastic atmosphere today. I think we can do it and I am delighted to be here. Thank you.
Published: 5 December 2013


Public Member Functions | |
| def | __init__ |
| Class creator. | |
| def | handle_selection_paramters |
| Helper funtion to handle selection parameters (different parameter names can have almost the same functionality and are treated internally in the same way). | |
| def | check_extension |
| Helper function to check if the file extension is allowed. | |
| def | get_structure |
| Loads a structure file (pdb or dcd) and fills its structure_info data for logging. | |
| def | getMergedStructure |
| Merges all handled structures into a single Prody AtomGroup object. | |
| def | setWorkingCoordinates |
| def | getWorkingCoordinates |
| def | getSelection |
| def | getFittingCoordinates |
| def | getCalculationCoordinates |
Public Attributes | |
| files | |
| pdbs | |
| bookmarking | |
| coordsets | |
| number_of_conformations | |
| number_of_atoms | |
| fitting_selection | |
| calculation_selection |
Definition at line 12 of file trajectoryHandler.py.
| def pyproct.driver.handlers.trajectoryHandler.TrajectoryHandler.__init__ | ( | self, | |
| parameters, | |||
| observer | |||
| ) |
Class creator.
It parses the needed files and extracts info and coordinates.
Definition at line 18 of file trajectoryHandler.py.
Helper function to check if the file extension is allowed.
If not it shuts down the program.
| ext,: | The extension string (with the separating period!) |
Definition at line 76 of file trajectoryHandler.py.
| def pyproct.driver.handlers.trajectoryHandler.TrajectoryHandler.get_structure | ( | self, | |
| file_info | |||
| ) |
Loads a structure file (pdb or dcd) and fills its structure_info data for logging.
| file_info,: | Is a string containing the path of the file or a dictionary with this structure: 'pdb' files: |
{ "file": ... , "base_selection": ... }
Where 'file' contains the path of the pdb file we want to load.
'dcd' files:
{ "file": ..., "atoms_file": ..., "base_selection": ... }
Where 'file' contains the path of the 'dcd' file we want to load and 'atoms_file' the source of the pdb file containing the atomic information.
In both cases 'base_selection' is a Prody selection string that performs an initial selection of the atoms. This is useful when we want to load more than one file with different number of atoms and its goal is to allow the selection of the common atoms. It is up to the user to maintain a 1 to 1 mapping between the atoms of each of the files.
Definition at line 113 of file trajectoryHandler.py.
Definition at line 237 of file trajectoryHandler.py.
Definition at line 231 of file trajectoryHandler.py.
Merges all handled structures into a single Prody AtomGroup object.
If there's any error, the program must exit, and any thread must be stopped.
Definition at line 176 of file trajectoryHandler.py.
| def pyproct.driver.handlers.trajectoryHandler.TrajectoryHandler.getSelection | ( | self, | |
| selection_string | |||
| ) |
Definition at line 211 of file trajectoryHandler.py.
Definition at line 200 of file trajectoryHandler.py.
| def pyproct.driver.handlers.trajectoryHandler.TrajectoryHandler.handle_selection_paramters | ( | self, | |
| matrix_parameters | |||
| ) |
Helper funtion to handle selection parameters (different parameter names can have almost the same functionality and are treated internally in the same way).
| matrix_parameters,: | The parameters chunk that controls matrix selections. |
Definition at line 52 of file trajectoryHandler.py.
| def pyproct.driver.handlers.trajectoryHandler.TrajectoryHandler.setWorkingCoordinates | ( | self, | |
| selection_string | |||
| ) |
Definition at line 197 of file trajectoryHandler.py.
Definition at line 18 of file trajectoryHandler.py.
Definition at line 52 of file trajectoryHandler.py.
Definition at line 18 of file trajectoryHandler.py.
Definition at line 18 of file trajectoryHandler.py.
Definition at line 52 of file trajectoryHandler.py.
Definition at line 18 of file trajectoryHandler.py.
Definition at line 18 of file trajectoryHandler.py.
Definition at line 18 of file trajectoryHandler.py.


Our Story
Ever struggled with the paradox of choice? Can't decide if you'd like sweet or savory? We've made it easy for you! Salmon Cookies was born in Seattle, WA with the inspiration of a few Pacific Northwest staples. A surprisingly enjoyable mix of a traditionally sweet cookie with a hint of salmon fishiness, best enjoyed with your morning cup of coffee. Bringing to the world the PNW archetype, no longer complete without your box of fresh-baked salmon cookies.
Come get yours today!


Hello, Welcome to my page !
Awarded with
Bronze medal
for Academic excellence in Bachelor of Pharmacy course curriculum at Graduation level
Received an Award for
"Excellence in Interpersonal skills and Team Spirit"


The sample code on the previous page was very basic, returning relatively broad results of 'food' located in 'Corvallis', in order to demonstrate the OAuth authentication process for Yelp's API. For more practical searches, the Yelp Search API provides a myriad of parameters to allow us to further refine our results. Yelp provides these parameters in the Search API tab of their documentation page.
In general, aside from setting the 'location' parameter, the 'term' parameter will likely be our most commonly used parameter for these searches. This can be set to general values such as the 'food' search from the previous sample code. But Yelp becomes much more powerful when we refine or combine terms. For example, instead of the term 'food', we could specify a particular type of food, such as 'Chinese food'.
In the following sample code, we will conduct a more advanced search, where we constrain our search to "Chinese food". We will also use the additional 'limit' parameter to narrow the number of results returned to only '10' restaurants. Furthermore, we will set the 'sort' parameter to a value of '2', which will return our restaurants in order of the highest rating, descending. Lastly, we will use the 'radius_filter' parameter with a value of '8000'. This last parameter measures a distance from the center of the specified location, and returns only those businesses within that radius. Since it is measured in meters, our value of '8000' will limit the results to restaurants within approximately 5 miles of Corvallis.
For this, we will make another JavaScript file with the script that we want to use. Create a new file in the same directory as the last one. I have titled mine as “example_2.js”. Again, we will be hardcoding our consumer key, consumer secret, token, and token secret into that file. We will also be hardcoding the parameter name/values, as indicated above, into that file. As with the previous example, you must substitute the unique values you generated at Yelp's Manage API Keys page for the placeholders I have included, which appear as ‘####’ in the sample, below:
After we save the above code, we can execute it by entering the following: node example_2.js
. In the sample code above, this will call our search and return the response as console output. For the purpose of this demonstration, I have modified the lines in the latter section of the code to listen to an open port (in this case, '26597'), so that the console output of the response will be returned by the function, and can be displayed in your browser. The modified code appears as follows:
The query that is sent by the above code would appear as follows to the API, with the "####" subsitituted by our personalized, unique values, as appropriate:
https://api.yelp.com/v2/search?
term=Chinese+food&location=Corvallis&sort=2&limit=10&radius_filter=8000
oauth_token_secret=####&oauth_consumer_secret=####&oauth_consumer_key=####&oauth_token=####&oauth_signature_method=####&oauth_signature=####&oauth_timestamp=####&oauth_nonce=####
Final URL: https://api.yelp.com/v2/search?term=Chinese+food&location=Corvallis&sort=2&limit=10&radius_filter=8000&oauth_token_secret=####&oauth_consumer_secret=####&oauth_consumer_key=####&oauth_token=####&oauth_signature_method=####&oauth_signature=####&oauth_timestamp=####&oauth_nonce=####
Our parameter name/value pairs are defined within a JavaScript object, using JavaScript Object Notation. Remember to separate each parameter/value pair by a comma. Also, please note that there is neither a comma nor a semicolon after the last pair in the object. Lastly, while this format may appear similar to the JSON format (which we will discuss further on the next page), it is not identical. Unlike the notation we use for an object in the JavaScript language, the format used for JSON is intended for data exchange and independent of language, so it will require certain syntactical differences, including the use and placement of quotation marks.
In addition to searching for restaurants within a particular category, such as 'Chinese food', we can also specify a known establishment, such as 'Tian Fu Noodle', in order to retrieve a response that gives ratings, reviews, and other useful information, just for that specific business. In the next sample code, let's formulate a request using the search term 'Tian Fu Noodle', again keeping our location as 'Corvallis', in order to search for this specific restaurant.
Let's make one more JavaScript file with the script that we want to use. Create a new file in the same directory as the last one. I have titled mine as “example_3.js”. Once again, we will be hardcoding our consumer key, consumer secret, token, and token secret into that file. We will also be hardcoding the parameter/values, as indicated above, into that file. As with the previous examples, you must substitute the unique values you generated at Yelp's Manage API Keys page for the placeholders I have included, which appear as ‘####’ in the sample, below:
After we save the above code, we can execute it as follows: node example_3.js
. In the sample code above, this will call our search and return the response as console output. For the purpose of this demonstration, I have modified the lines in the latter section of the code to listen to an open port (in this case, '26598'), so that the console output of the response will be returned by the function, and can be displayed in your browser. The modified code appears as follows:
The query that is sent by the above code would appear as follows to the API, with the "####" subsitituted by our personalized, unique values, as appropriate:
https://api.yelp.com/v2/search?
term=Tian+Fu+Noodle&location=Corvallis
oauth_token_secret=####&oauth_consumer_secret=####&oauth_consumer_key=####&oauth_token=####&oauth_signature_method=####&oauth_signature=####&oauth_timestamp=####&oauth_nonce=####
Final URL: https://api.yelp.com/v2/search?term=Tian+Fu+Noodle&location=Corvallis&oauth_token_secret=####&oauth_consumer_secret=####&oauth_consumer_key=####&oauth_token=####&oauth_signature_method=####&oauth_signature=####&oauth_timestamp=####&oauth_nonce=####
Notice how again in this sample code, we have changed only the contents of the search object, from how it appeared in our previous sample code. In this case, we have used the term "Tian Fu Noodle" and removed all of the other parameter name/values, except for the location of "Corvallis". As before, by modifying or adding parameters to this JavaScript object, we have changed our search result.


Syncilainen - Automatically sync file changes to a Git repository
2011-12-12T16:36:00
Konrad Markus
A small daemon which monitors changes in a directory and automatically syncs it to a remote git repository.
I have git a repository hosted ultimately on S3 in which I store notes and other sundry (mostly text-based) files. I wanted a way to automatically sync these to the remote repository, without having to manually add/commit/push. Mostly for convenience.
So syncilainen was born. It's written in python and relies on the git command-line tool being installed on the system. It then uses MacFSEvents on Mac OSX, or pyinotify on Linux, to watch for filesystem events; e.g. writing to a file, removing a file etc. Once an event is detected, a callback function is triggered, which in this case does a git add/commit in the watched directory, and then pushes to the remote repository.
It tries to be conservative when a conflict is detected, however the system is not really designed to withstand heavy collaborative use.
If a conflict is detected, the remote's version ("theirs") is renamed with the sha1 hash prepended to the filename, and the local copy ("ours") is forced as the current version. This works OK when I am the only person editing stuff at the same time, and I only have different instances on the diffrerent computers that I use.
I am considering to add a periodic git pull action, to make sure that the local repository is up to date, even if no filesystem events have been executed.
Syncilainen use the python subprocess module to make system calls to the git command line tool.
Syncilainen is configured with a JSON formatted config file which can be specified when invoking syncilainen, or to "syncilainen.json" by default.
It is possibe to daemonize syncilainen, such that it works "behind the scenes". At the moment, current approaches are conflicting with the use of the subprocess module to invoke the git command line. A workaround for this problem is in progress.
The code has made an attempt at a structure such that different filesystem event libraries or different version control systems could be used, (indeed ultimately any kind of callback could be writted). However at this time, only git has been tried as a version contol backend.
Syncialinen optionally uses growlnotify on Mac OS X, or notifysend on Linux (XXX: gnome?) to display notification messages when the callback is triggered.


Billions of litres of sewage spilled into Hamilton creek, city says
by The Canadian PressHAMILTON - The City of Hamilton says billions of litres of untreated wastewater spewed into a creek over a period of four years.
The city says an investigation showed 24 billion litres of storm water runoff and sewage was discharged into Chedoke Creek between 2014 and 2018.
The probe also showed the discharge happened after a bypass gate in the sewer overflow tank was left partially open on Jan. 28, 2014.
The details of the spill, which was discovered in July 2018, were first reported by the Hamilton Spectator on Wednesday.
The city says its investigation could not determine why the gate was opened.
It says it is working with the province's Ministry of the Environment to figure out how to remediate the creek.
This report by The Canadian Press was first published Nov. 21, 2019.


statsmodels.tsa.statespace.sarimax.SARIMAXResults¶
-
class
statsmodels.tsa.statespace.sarimax.
SARIMAXResults
(model, params, filter_results, cov_type='opg', **kwargs)[source]¶ Class to hold results from fitting an SARIMAX model.
- Parameters
- modelSARIMAX instance
The fitted model instance
See also
statsmodels.tsa.statespace.kalman_filter.FilterResults
,statsmodels.tsa.statespace.mlemodel.MLEResults
- Attributes
- specificationdictionary
Dictionary including all attributes from the SARIMAX model instance.
- polynomial_ararray
Array containing autoregressive lag polynomial coefficients, ordered from lowest degree to highest. Initialized with ones, unless a coefficient is constrained to be zero (in which case it is zero).
- polynomial_maarray
Array containing moving average lag polynomial coefficients, ordered from lowest degree to highest. Initialized with ones, unless a coefficient is constrained to be zero (in which case it is zero).
- polynomial_seasonal_ararray
Array containing seasonal autoregressive lag polynomial coefficients, ordered from lowest degree to highest. Initialized with ones, unless a coefficient is constrained to be zero (in which case it is zero).
- polynomial_seasonal_maarray
Array containing seasonal moving average lag polynomial coefficients, ordered from lowest degree to highest. Initialized with ones, unless a coefficient is constrained to be zero (in which case it is zero).
- polynomial_trendarray
Array containing trend polynomial coefficients, ordered from lowest degree to highest. Initialized with ones, unless a coefficient is constrained to be zero (in which case it is zero).
- model_orderslist of int
The orders of each of the polynomials in the model.
- param_termslist of str
List of parameters actually included in the model, in sorted order.
Methods
aic
()(float) Akaike Information Criterion
arfreq
()(array) Frequency of the roots of the reduced form autoregressive lag polynomial
arparams
()(array) Autoregressive parameters actually estimated in the model.
arroots
()(array) Roots of the reduced form autoregressive lag polynomial
bic
()(float) Bayes Information Criterion
bse
()The standard errors of the parameter estimates.
conf_int
([alpha, cols, method])Returns the confidence interval of the fitted parameters.
cov_params
([r_matrix, column, scale, cov_p, …])Returns the variance/covariance matrix.
(array) The variance / covariance matrix.
(array) The variance / covariance matrix.
(array) The variance / covariance matrix.
(array) The QMLE variance / covariance matrix.
(array) The QMLE variance / covariance matrix.
(array) The QMLE variance / covariance matrix.
f_test
(r_matrix[, cov_p, scale, invcov])Compute the F-test for a joint linear hypothesis.
(array) The predicted values of the model.
forecast
([steps])Out-of-sample forecasts
get_forecast
([steps])Out-of-sample forecasts
get_prediction
([start, end, dynamic, index, …])In-sample prediction and out-of-sample forecasting
hqic
()(float) Hannan-Quinn Information Criterion
impulse_responses
([steps, impulse, …])Impulse response function
info_criteria
(criteria[, method])Information criteria
initialize
(model, params, **kwd)Initialize (possibly re-initialize) a Results instance.
llf
()(float) The value of the log-likelihood function evaluated at params.
llf_obs
()(float) The value of the log-likelihood function evaluated at params.
load
(fname)load a pickle, (class method)
(float) The number of observations during which the likelihood is not evaluated.
mafreq
()(array) Frequency of the roots of the reduced form moving average lag polynomial
maparams
()(array) Moving average parameters actually estimated in the model.
maroots
()(array) Roots of the reduced form moving average lag polynomial
See specific model class docstring
plot_diagnostics
([variable, lags, fig, figsize])Diagnostic plots for standardized residuals of one endogenous variable
predict
([start, end, dynamic])In-sample prediction and out-of-sample forecasting
pvalues
()(array) The p-values associated with the z-statistics of the coefficients.
remove data arrays, all nobs arrays from result and model
resid
()(array) The model residuals.
save
(fname[, remove_data])save a pickle of this instance
(array) Seasonal autoregressive parameters actually estimated in the model.
(array) Seasonal moving average parameters actually estimated in the model.
simulate
(nsimulations[, measurement_shocks, …])Simulate a new time series following the state space model
summary
([alpha, start])Summarize the Model
t_test
(r_matrix[, cov_p, scale, use_t])Compute a t-test for a each linear hypothesis of the form Rb = q
t_test_pairwise
(term_name[, method, alpha, …])perform pairwise t_test with multiple testing corrected p-values
test_heteroskedasticity
(method[, …])Test for heteroskedasticity of standardized residuals
test_normality
(method)Test for normality of standardized residuals.
test_serial_correlation
(method[, lags])Ljung-box test for no serial correlation of standardized residuals
tvalues
()Return the t-statistic for a given parameter estimate.
wald_test
(r_matrix[, cov_p, scale, invcov, …])Compute a Wald-test for a joint linear hypothesis.
wald_test_terms
([skip_single, …])Compute a sequence of Wald tests for terms over multiple columns
zvalues
()(array) The z-statistics for the coefficients.


| Methods' Details |
hideDependents
- Description
- removes arrows for one level of dependents of a formula cell.
If the method is executed again for the same cell, the previous
level of dependent cells is removed.
- Parameter aPosition
- the address of the formula cell.
|
|
hidePrecedents
- Description
- removes arrows for one level of precedents of a formula cell.
If the method is executed again for the same cell, the previous
level of dependent cells is removed.
- Parameter aPosition
- the address of the formula cell.
|
|
showDependents
- Description
- draws arrows between a formula cell and its dependents.
If the method is executed again for the same cell, the next
level of dependent cells is marked.
- Parameter aPosition
- the address of the formula cell.
|
|
showPrecedents
- Description
- draws arrows between a formula cell and its precedents.
If the method is executed again for the same cell, the next
level of dependent cells is marked.
- Parameter aPosition
- the address of the formula cell.
|
|
showErrors
- Description
- draws arrows between a formula cell containing an error
and the cells causing the error.
|
|
showInvalid
- Description
- marks all cells containing invalid values.
|
|
clearArrows
- Description
- removes all auditing arrows from the spreadsheet.
|
|
Copyright © 2013, The Apache Software Foundation, Licensed under the Apache License, Version 2.0. Apache, the Apache feather logo, Apache OpenOffice and OpenOffice.org are trademarks of The Apache Software Foundation. Other names may be trademarks of their respective owners.


I have a bachelor’s degree in computer science and information management and I would welcome the opportunity to put my skills and training to work for your company. I have the credentials your company is searching for and I know that I can be a valued member of your team if chosen for this position. I have the skills to create well formatted HTML, which makes it easy to find and fix any problems that arise later. I have experience working with CSS, JavaScript and AJAX in addition to writing front-end codes and creating technical specifications for prototypes and guides. My previous experience also includes building web apps, performing unit tests, tracking and analyzing websites to look for ways to make improvements. I have excellent communication skills with the ability to interact effectively verbally and in writing. I also have the ability to lead and manage a team of developers from the beginning of a project to the end. I have the knowledge needed to help plan and organize projects and to help estimate the time and cost to complete them. I have outstanding time management skills along with the ability to work on more than one project at a time while staying focused and handling the top priorities first. As a life time learner, I enjoy learning new skills in my free time. The attached resume outlines my work history and training most relevant to this position and I am confident that I am the best applicant for this job.
Currently working on a side project for an education company.
Service Pack for Proliant Team
Mainly focusing on optimizing Advantech's many different websites
I worked as an English tutor for about half a year.
GPA: 3.5
Apart from being a web developer, I enjoy most of my time being outdoors.
When forced indoors, I like reading psychology books, watching science fiction genre movies, and television shows as well.


 Here we will try to give you an intense training on how to use WordiZ and how to improve your online authority. We will to invite a lot of guestbloggers to give you the best directions in these two topics.
In addition to that, you will find some tips on how to configure your website correctly for the authorship attribution. These posts will be a little bit more technical, and you may have questions about that. Do not hesitate to leave a comment after each post. The community/team is willing to help.
Why Use Authorship?
For years bloggers and website owners have complained about people stealing their texts and duplicating their content. With the Search Engine Results Positions (SERP) race, many of them were even loosing at this game.
Nowadays, no perfect solution exists yet, but are closer than ever to reach one. By adding a ‘signature’ on your texts, you can keep track of everything you ever wrote on the web. People at Google used the term “authorship attribution” to describe the simple fact of signing a content with your name.
By doing so, search engines and web tools like WordiZ can track your writings and associate your name with a global environment. It becomes easy to know that are a specialist in science or in children-care by collecting the blog posts your have written some months ago.
Therefore, if you want to make the most out of WordiZ, you need to have a signature on your blog posts to tell us that you were the actual writer of the text. We will collect many articles on our Authorship category to help you having the code correctly implemented on your website.


Home
About
Events
Our Team
Sponsors
Contact Us
Home
About
Events
Our Team
Sponsors
Contact Us
Our Team
Arvind Satya
President
Shubham Singh
General Secretary
Ananya Roy
Convenor
Vikram Reddy
Treasurer
Rajat Mishra
Vice-President
Trishul Paul Choudhary
Assistant-General Secretary
Supriya Sinha
Co-Convenor
Meghana Bandaru
Fest Co-ordinator
Anuj Maurya
Technical Head
VVS Narayana Murthy
Technical Head
Ajitabh Kr Das
Design Head
Antam Sai Lekha
Creative Head
Ravi Shankar
BAJA Co-ordinator


I completed a course on the data science aspects of bioinformatics and these examples are from the final report. The course did not focus on bioinformatics algorithms or reads and sequences, but rather the data that follows along with it: Read lengths, depth of coverage, read window, comparison with simulations and links with statistics. I have chosen three of my favorite plots from the report. The full report is available below.


The extensive Library of Bilingual Resources, Activities, Books and Tools for Schools to make learning fun for students ..
Personal help and effective use of a versatile computer programme which supports pupils –and parents –who are at the early stages of learning English enables them to make excellent progress in English. These pupils make better progress than similar pupils, nationally. OFSTED 2013.


Yes, this is actually test #2. Running the minify-html plugin on this file will generate a minified "test2.html" version of this file.
Go figure!


As to how to prepare the input files ...
- Prepare a
.xlsx
file like the example. - The table should have this form (obviously there can be many options per question, not just 4). Important: you must include a header with labels.
| question | right answer | other possible right answer (leave blank if there isn't) | wrong answer | wrong answer |
|---|---|---|---|---|
| What’s 1 + 1? | 2 | I don’t know | 4 | |
| How you like Race Up? | I do like it! | Very much | No | F*** you! |


All Classes
-
All Classes Interface Summary Class Summary Class Description Addition Given two images of same dimention it'll apply addition operation on each pixel pair & return modified imageAutomaticThresholding Given a buffered image with bimodal histogram, we'll segment that image into foreground and background using automatic thresholding mechanism.BitwiseAND Given two images of equal dimension, it'll compute resulting image ( concurrently i.e.BitwiseLeftShift Shifts each pixel intensity I[x, y] of given buffered image by applying left shift operator i.e.BitwiseOR Implementation of bitwise OR operator, given two buffered images of equal size, it'll compute bitwise OR for each pixel ( in each pixel for each color component ), and produces output buffered image, without anyhow modifying original imagesBitwiseRightShift Given one buffered image / path to image file & number of bit positions by which pixel intensity to be shifted ( rightwards ), it'll compute transformed image by picking each row up & applying bitwise right shift operator on each pixel intensity value.BitwiseXOR Given two images of equal dimension, it'll compute resulting image ( concurrently i.e.Closing Implementation of image smoothing op - ClosingContrastStretching Contrast Stretching is pretty similar to Histogram Equalization, but rather that computing pixel intensity probability & corresponding CDF values, we'll go for stretching pixel intensity range, which may be intially `a` & `b`, where a > 0 && or || b < 255, but we'll make it 0 to 255.Dilation Given an image with white foreground objects & black background color, it'll try to expand foreground area by applying a kernel on each pixel of image, which will make this pixel foreground ( white ) if at least one of the pixels present in its order-1 neighbourhood is white colored i.e.Division Given two images of equal dimension, it'll divide pixel intensity of first image by pixel intensity of second image, and store rounded value in resulting image, for each pixel, for each color component.EdgeDetectionUsingDilation Implements edge detection using dilationEdgeDetectionUsingErosion Detects edges of image by applying combination of erosion & subtraction.Erosion Given an image it'll try to shrink foreground region of image, where foreground denoted by white color ( higher pixel intensity )Filter GammaCorrection Given an image ( either color or grayscaled ), we'll transform each pixel intensity of that image using power law transformation / gamma correction function.GrayScale Given a RGB image, it'll grayscale that image by taking mean of intensities ( intensity of each of three color components ) at each pixel location of image, while not modifying original imageHistogramEqualization Applies histrogram equalization transformation to distribute pixel intensity values all over whole range of possible pixel values ( i.e.HorizontalRotation Horizontally rotates each row i.e.Image Image abstraction class used for performing neighbourhood ( N8 ) ops with ease, works only on grayscale imageImportExportImage Helper class to read content of an image into BufferedImage object & write BufferedImage into image fileInverseImageTransformation Given a buffered image, applies inverse image transformation function on each pixel of it, and produces output buffered imageInverseLogTransformation Inverse log transformation just works opposite of Log Transformation, it reduces pixel intensity values, which eventually makes image darkerLaplacianFilter LogTransformation Given an image ( either color or grayscaled ), we'll trasform each pixel intensity value by using one logarithm based function & output image to be buffered.MeanFilter Given a buffered image, it'll compute mean of pixel intensities for a square matrix ( odd valued row & column numbers ), centered at P(x, y), for each color components ( i.e.MedianFilter Given a buffered image / path to image file, it'll compute median of pixel intensity values in neighbourhood around it ( size of neighbourhood depends upon order [ >0 ] supplied while invoking filter ) for each pixel position.MinFilter Given an image, filters only minimum intensity pixels from neighborhood of a pixel ( neighbourhood surely depends upon order of filtering ) i.e.ModeFilter Implementation of mode filter i.e.Multiplication Given two images of equal dimension, it'll multiply pixel intensity values of each image ( pixel by pixel fashion ), and resulting image to be stored in a different buffered imageOpening It's one of smoothing operations based on image morphological op.Pixel Position Holds location, intensity & state information of a pixel in imageRegionGrowing Given a buffered image ( grayscale, if not gray scaled yet, to be done inside this implementation ), it'll compute segmented image using a seed pixel location, applying region growing algorithmRotate Performs affine transformation - ROTATION on given image, keeps source image unmodifiedRotateAntiClockwise180 Given a buffered image, we'll rotate that image by 180° in anti-clockwise direction and obtain a new image, though original image buffer to stay unmodified.RotateAntiClockwise270 Given a buffered image, we'll rotate that image by 270° in anti-clockwise direction and obtain a new image, though original image buffer to stay unmodified.RotateAntiClockwise90 Given a buffered image, we'll rotate that image by 90° in anti-clockwise direction and obtain a new image, though original image buffer to stay unmodified.RotateClockwise180 Given an image, we'll rotate it by 180° in clockwise direction, using combination of two basic operationsRotateClockwise270 Given an image, we'll rotate it by 270° in clockwise direction, using combination of two basic operationsRotateClockwise90 Given an image, we'll rotate it by 90° in clockwise direction, using combination of two basic operationsRotation To be implemented by horizontally & vertically rotating classes or any other utility classes which'll try to rotate image, following two abstract methods will be only way using which user gets to talk to rotation mechanismScale Given an image, it'll scale that image as per requested x & y param values in respective directions & returns transformed image ( generated using affine transformation rules )Subtraction Given two images of same dimension it'll apply subtraction operation on each pixel pair & return modified imageTranslate Given a buffered image it'll compute translated buffered image by translating each pixel by given amount of translation along X-axis / Y-axis or both.Transpose Given a buffered image we'll transpose it, as we do in case of matrix, because 2D image is nothing but a matrixVerticalRotation Vertically rotates each column of given buffered image, returns a new buffered image