# Copyright (c) 2021 - present / Neuralmagic, Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""
Code related to the PyTorch model registry for easily creating models.
"""
import re
from typing import Any, Callable, Dict, List, Optional, Union
from sparseml.tensorflow_v1.models.estimator import EstimatorModelFn
from sparseml.tensorflow_v1.utils import tf_compat
from sparseml.utils import TENSORFLOW_V1_FRAMEWORK, parse_optimization_str
from sparsezoo import Zoo
from sparsezoo.objects import Model
__all__ = ["ModelRegistry"]
class _ModelAttributes(object):
def __init__(
self,
input_shape: Any,
domain: str,
sub_domain: str,
architecture: str,
sub_architecture: str,
default_dataset: str,
default_desc: str,
default_model_fn_creator: EstimatorModelFn,
base_name_scope: str,
tl_ignore_tens: List[str],
repo_source: str,
):
self.input_shape = input_shape
self.domain = domain
self.sub_domain = sub_domain
self.architecture = architecture
self.sub_architecture = sub_architecture
self.default_dataset = default_dataset
self.default_desc = default_desc
self.default_model_fn_creator = default_model_fn_creator
self.base_name_scope = base_name_scope
self.tl_ignore_tens = tl_ignore_tens
self.repo_source = repo_source
[docs]class ModelRegistry(object):
"""
Registry class for creating models
"""
_CONSTRUCTORS = {} # type: Dict[str, Callable]
_ATTRIBUTES = {} # type: Dict[str, _ModelAttributes]
[docs] @staticmethod
def available_keys() -> List[str]:
"""
:return: the keys (models) currently available in the registry
"""
return list(ModelRegistry._CONSTRUCTORS.keys())
[docs] @staticmethod
def create(key: str, *args, **kwargs) -> Any:
"""
Create a new model for the given key
:param key: the model key (name) to create
:param args: any args to supply to the graph constructor
:param kwargs: any keyword args to supply to the graph constructor
:return: the outputs from the created graph
"""
if key not in ModelRegistry._CONSTRUCTORS:
raise ValueError(
"key {} is not in the model registry; available: {}".format(
key, ModelRegistry._CONSTRUCTORS
)
)
return ModelRegistry._CONSTRUCTORS[key](*args, **kwargs)
[docs] @staticmethod
def create_estimator(
key: str,
model_dir: str,
model_fn_params: Optional[Dict[str, Any]],
run_config: tf_compat.estimator.RunConfig,
*args,
**kwargs,
) -> tf_compat.estimator.Estimator:
"""
Create Estimator for a model given the key and extra parameters
:param key: the key that the model was registered with
:param model_dir: directory to save results
:param model_fn_params: parameters for model function
:param run_config: RunConfig used by the estimator during training
:param args: additional positional arguments to pass into model constructor
:param kwargs: additional keyword arguments to pass into model constructor
:return: an Estimator instance
"""
model_const = ModelRegistry._CONSTRUCTORS[key]
attributes = ModelRegistry._ATTRIBUTES[key]
model_fn_creator = attributes.default_model_fn_creator()
model_fn = model_fn_creator.create(model_const, *args, **kwargs)
model_fn_params = {} if model_fn_params is None else model_fn_params
classifier = tf_compat.estimator.Estimator(
config=run_config,
model_dir=model_dir,
model_fn=model_fn,
params=model_fn_params,
)
return classifier
[docs] @staticmethod
def create_zoo_model(
key: str,
pretrained: Union[bool, str] = True,
pretrained_dataset: str = None,
) -> Model:
"""
Create a sparsezoo Model for the desired model in the zoo
:param key: the model key (name) to retrieve
:param pretrained: True to load pretrained weights; to load a specific version
give a string with the name of the version (pruned-moderate, base),
default True
:param pretrained_dataset: The dataset to load for the model
:return: the sparsezoo Model reference for the given model
"""
if key not in ModelRegistry._CONSTRUCTORS:
raise ValueError(
"key {} is not in the model registry; available: {}".format(
key, ModelRegistry._CONSTRUCTORS
)
)
attributes = ModelRegistry._ATTRIBUTES[key]
optim_name, optim_category, optim_target = parse_optimization_str(
pretrained if isinstance(pretrained, str) else attributes.default_desc
)
return Zoo.load_model(
attributes.domain,
attributes.sub_domain,
attributes.architecture,
attributes.sub_architecture,
TENSORFLOW_V1_FRAMEWORK,
attributes.repo_source,
attributes.default_dataset
if pretrained_dataset is None
else pretrained_dataset,
None,
optim_name,
optim_category,
optim_target,
)
[docs] @staticmethod
def load_pretrained(
key: str,
pretrained: Union[bool, str] = True,
pretrained_dataset: str = None,
pretrained_path: str = None,
remove_dynamic_tl_vars: bool = False,
sess: tf_compat.Session = None,
saver: tf_compat.train.Saver = None,
):
"""
Load pre-trained variables for a given model into a session.
Uses a Saver object from TensorFlow to restore the variables
from an index and data file.
:param key: the model key (name) to create
:param pretrained: True to load the default pretrained variables,
a string to load a specific pretrained graph
(ex: base, optim, optim-perf),
or False to not load any pretrained weights
:param pretrained_dataset: The dataset to load pretrained weights for
(ex: imagenet, mnist, etc).
If not supplied will default to the one preconfigured for the model.
:param pretrained_path: A path to the pretrained variables to load,
if provided will override the pretrained param
:param remove_dynamic_tl_vars: True to remove the vars that are used for
transfer learning (have a different shape and should not be restored),
False to keep all vars in the Saver.
Only used if saver is None
:param sess: The session to load the model variables into
if pretrained_path or pretrained is supplied.
If not supplied and required, then will use the default session
:param saver: The Saver instance to use to restore the variables
for the graph if pretrained_path or pretrained is supplied.
If not supplied and required, then will create one using the
ModelRegistry.saver function
"""
if key not in ModelRegistry._CONSTRUCTORS:
raise ValueError(
"key {} is not in the model registry; available: {}".format(
key, ModelRegistry._CONSTRUCTORS
)
)
if not sess and (pretrained_path or pretrained):
sess = tf_compat.get_default_session()
if not saver and (pretrained_path or pretrained):
saver = ModelRegistry.saver(key, remove_dynamic_tl_vars)
if isinstance(pretrained, str):
if pretrained.lower() == "true":
pretrained = True
elif pretrained.lower() in ["false", "none"]:
pretrained = False
if pretrained_path:
saver.restore(sess, pretrained_path)
elif pretrained:
zoo_model = ModelRegistry.create_zoo_model(
key, pretrained, pretrained_dataset
)
try:
paths = zoo_model.download_framework_files()
index_path = [path for path in paths if path.endswith(".index")]
index_path = index_path[0]
model_path = index_path[:-6]
saver.restore(sess, model_path)
except Exception:
# try one more time with overwrite on in case files were corrupted
paths = zoo_model.download_framework_files(overwrite=True)
index_path = [path for path in paths if path.endswith(".index")]
if len(index_path) != 1:
raise FileNotFoundError(
"could not find .index file for {}".format(zoo_model.root_path)
)
index_path = index_path[0]
model_path = index_path[:-6]
saver.restore(sess, model_path)
[docs] @staticmethod
def saver(key: str, remove_dynamic_tl_vars: bool = False) -> tf_compat.train.Saver:
"""
Get a tf compat saver that contains only the variables for the desired
architecture specified by key.
Note, the architecture must have been created in the current graph already
to work.
:param key: the model key (name) to get a saver instance for
:param remove_dynamic_tl_vars: True to remove the vars that are used for
transfer learning (have a different shape and should not be restored),
False to keep all vars in the Saver
:return: a Saver object with the appropriate vars for the model to restore
"""
if key not in ModelRegistry._CONSTRUCTORS:
raise ValueError(
"key {} is not in the model registry; available: {}".format(
key, ModelRegistry._CONSTRUCTORS
)
)
base_name = ModelRegistry._ATTRIBUTES[key].base_name_scope
saver_vars = [
var
for var in tf_compat.get_collection(tf_compat.GraphKeys.TRAINABLE_VARIABLES)
if base_name in var.name
]
saver_vars.extend(
[
var
for var in tf_compat.global_variables()
if ("moving_mean" in var.name or "moving_variance" in var.name)
and base_name in var.name
]
)
if remove_dynamic_tl_vars:
tl_ignore_tens = ModelRegistry._ATTRIBUTES[key].tl_ignore_tens
def _check_ignore(var: tf_compat.Variable) -> bool:
for ignore in tl_ignore_tens:
if re.match(ignore, var.name):
return True
return False
saver_vars = [var for var in saver_vars if not _check_ignore(var)]
saver = tf_compat.train.Saver(saver_vars)
return saver
[docs] @staticmethod
def register(
key: Union[str, List[str]],
input_shape: Any,
domain: str,
sub_domain: str,
architecture: str,
sub_architecture: str,
default_dataset: str,
default_desc: str,
default_model_fn_creator: EstimatorModelFn,
base_name_scope: str,
tl_ignore_tens: List[str],
repo_source: str = "sparseml",
):
"""
Register a model with the registry. Should be used as a decorator
:param key: the model key (name) to create
:param input_shape: the specified input shape for the model
:param domain: the domain the model belongs to; ex: cv, nlp, etc
:param sub_domain: the sub domain the model belongs to;
ex: classification, detection, etc
:param architecture: the architecture the model belongs to;
ex: resnet, mobilenet, etc
:param sub_architecture: the sub architecture the model belongs to;
ex: 50, 101, etc
:param default_dataset: the dataset to use by default for loading
pretrained if not supplied
:param default_desc: the description to use by default for loading
pretrained if not supplied
:param default_model_fn_creator: default model creator to use when creating
estimator instance
:param base_name_scope: the base string used to create the graph under
:param tl_ignore_tens: a list of tensors to ignore restoring for
if transfer learning
:param repo_source: the source repo for the model, default is sparseml
:return: the decorator
"""
if not isinstance(key, List):
key = [key]
def decorator(const_func):
for r_key in key:
if r_key in ModelRegistry._CONSTRUCTORS:
raise ValueError("key {} is already registered".format(key))
ModelRegistry._CONSTRUCTORS[r_key] = const_func
ModelRegistry._ATTRIBUTES[r_key] = _ModelAttributes(
input_shape,
domain,
sub_domain,
architecture,
sub_architecture,
default_dataset,
default_desc,
default_model_fn_creator,
base_name_scope,
tl_ignore_tens,
repo_source,
)
return const_func
return decorator


What is the difference between margin, border and padding?
The main difference between margin and padding is that margin helps to create space around the element outside the border,
while padding helps to create space around the content inside the border.
My attempt at describing the same thing is below. Use padding to create more space inside elements around the content (e.g. make fatter boxes).
Use margins to increase the space from the edge of the browser page to the elements containing content.


|
|
| QuicStreamSequencerBuffer (size_t max_capacity_bytes) |
| |
|
void | Clear () |
| |
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bool | Empty () const |
| |
|
QuicErrorCode | OnStreamData (QuicStreamOffset offset, QuicStringPiece data, QuicTime timestamp, size_t *bytes_buffered, QuicString *error_details) |
| |
|
QuicErrorCode | Readv (const struct iovec *dest_iov, size_t dest_count, size_t *bytes_read, QuicString *error_details) |
| |
|
int | GetReadableRegions (struct iovec *iov, int iov_len) const |
| |
|
bool | GetReadableRegion (iovec *iov, QuicTime *timestamp) const |
| |
|
bool | MarkConsumed (size_t bytes_buffered) |
| |
|
size_t | FlushBufferedFrames () |
| |
|
void | ReleaseWholeBuffer () |
| |
|
bool | HasBytesToRead () const |
| |
|
QuicStreamOffset | BytesConsumed () const |
| |
|
size_t | BytesBuffered () const |
| |
|
size_t | ReadableBytes () const |
| |
|
|
static const size_t | kBlockSizeBytes = 8 * 1024 |
| |
|
|
class | test::QuicStreamSequencerBufferPeer |
| |
The documentation for this class was generated from the following files:


GoogleMapsFrame Class
Constructor
Attributes
container
Node | String
A selector string or node object which will contain the iframe.
Fires event containerChange
Fires when the value for the configuration attribute container
is
changed. You can listen for the event using the on
method if you
wish to be notified before the attribute's value has changed, or
using the after
method if you wish to be notified after the
attribute's value has changed.
Parameters:
-
e
EventFacadeAn Event Facade object with the following attribute-specific properties added:
domNode
Reference to an empty div created inside the iframe. (This is not an instance of Node.)
Fires event domNodeChange
Fires when the value for the configuration attribute domNode
is
changed. You can listen for the event using the on
method if you
wish to be notified before the attribute's value has changed, or
using the after
method if you wish to be notified after the
attribute's value has changed.
Parameters:
-
e
EventFacadeAn Event Facade object with the following attribute-specific properties added:
frame
The Y.Frame instance that created the iframe.
Fires event frameChange
Fires when the value for the configuration attribute frame
is
changed. You can listen for the event using the on
method if you
wish to be notified before the attribute's value has changed, or
using the after
method if you wish to be notified after the
attribute's value has changed.
Parameters:
-
e
EventFacadeAn Event Facade object with the following attribute-specific properties added:
loaded
Boolean
Default: false
Fires event loadedChange
Fires when the value for the configuration attribute loaded
is
changed. You can listen for the event using the on
method if you
wish to be notified before the attribute's value has changed, or
using the after
method if you wish to be notified after the
attribute's value has changed.
Parameters:
-
e
EventFacadeAn Event Facade object with the following attribute-specific properties added:
parameters
Object
An optional parameters object passed to GoogleMapsLoader. (see gallery-google-maps-loader for information)
Fires event parametersChange
Fires when the value for the configuration attribute parameters
is
changed. You can listen for the event using the on
method if you
wish to be notified before the attribute's value has changed, or
using the after
method if you wish to be notified after the
attribute's value has changed.
Parameters:
-
e
EventFacadeAn Event Facade object with the following attribute-specific properties added:
Events
failure
Fired when Google Maps Loader fails.
load
Fired when Google Maps Loader succeeds.
timeout
Fired when Google Maps Loader times out.


Store Manager
Home
Login
Products
Login Here
User name
Password
Lost your passowrd?
Don't have an account?


Sorry, we could not find what you have been looking for! Maybe this will cheer you up?
The culprit seems to be the {{ culprit }}.


Gifcorder
Record parts of your screen to gif and webm.
FPS:
Scale:
Gif Colors:
WebM Mbps:
Start Capture
Stop Capture
Start Recording
Finish Recording
Preview
WebM
Log:


WhatsApp as a tool for fear and intimidation in Lebanon’s protests
Among a polarized public that distrusts politicians and the fourth estate, unverifiable WhatsApp rumors carry the day
by Emily Lewis, Coda StorySubscribe
Email Address
Newsletters
- Glenda Gloria's Take this Tuesday
- Huddle by Miriam Grace Go
- The Newsbreak Agenda by Chay Hofileña
- Sometimes, all you need is video by Lilibeth Frondoso


{% extends 'header.html' %} {% block title %}Error 404 - Page not found{% endblock %} {% block body %}
You're here because something went wrong. Please go back.


RRD Graphs with Flot, with RRA Filter Operations
RRD URL:
Update
Javascript needed for this page to work
RRD file
None


https://api-coders-kit.herokuapp.com/site_name/contests
https://api-coders-kit.herokuapp.com/codechef/contests
Response as shown above will be sent but the only difference is that each and every live and future and past contests will be sent. It will be in the pure json format without any style applied.The start and end time will be shown in UNIX time format. It can be easily converted to required time zone.


{% extends "club/base.html" %} {% block content %} {% include 'club/includes/messages.html' %} DSC Frequently Asked Questions Submit your own questions below! {% for faq in faqs %} {{ faq.question }} {{ faq.answer }} {% empty %} No questions have been answered yet! {% endfor %} {% csrf_token %} Ask a Question Submit {% endblock %}
{{ faq.answer }}
No questions have been answered yet!


Were the data use limitations in the Data Use Letter accurately converted to structured limitations?
Please review the Data Use Letter, Structured Limitations, and DAC votes to determine if the Data Use Limitations were appropriately converted to Structured Limitations
Data Use Limitations
Structured Limitations
Vote Results
Were the data use limitations in the Data Use Letter accurately converted to structured limitations?


--- layout: page title: About header-img: "img/about-bg.png" ---
I grow up in France where I graduated with a Bachelor in business law, from La Sorbonne University. I 'm currently a Broker Sales Person in Las Vegas, I like to make a job reconversion as full stack software engineer and I'm currently enrolled in the part -time software engineer student path.


Page 1 of 1
[Latest - April 17] Version 2.11
Posted:
Fri Apr 17, 2009 8:19 pm
by Karl G.
http://www.evidyon.com/download/install-evidyon.msiIf you're new, check out the
basic instructions.
In this update:
- Stats system changed! Be sure to reassign your stats--and order matters!
- Adjusted spell damage of sorcs
- MP regen rate changed to be what it was supposed to be...
- Completely reworked the item subsystem. No more disappearing items, and it should be impossible to dupe an item--ever!
- EXP sharing should work
- Increased /join radius
- No more getting booted out when logging into the world
- Changed the login screen a bit
Re: [Latest - April 17] Version 2.11
Posted:
Fri Apr 17, 2009 8:33 pm
by deathstalker
is thge server down
Re: [Latest - April 17] Version 2.11
Posted:
Fri Apr 17, 2009 8:39 pm
by Joe M.
Server just went down, yes. Hardware, not software, so we have to wait on the damned thing. Hopefully it won't be long.
Re: [Latest - April 17] Version 2.11
Posted:
Fri Apr 17, 2009 9:15 pm
by Joe M.
Karl, it looks like the server's having a little trouble updating itself, which might be the reason why all my characters have 10s for stats but no way of re-assigning the lost points.
Re: [Latest - April 17] Version 2.11
Posted:
Fri Apr 17, 2009 9:21 pm
by deathstalker
ok it want let me set my stats
all of my stats are at 10
Re: [Latest - April 17] Version 2.11
Posted:
Fri Apr 17, 2009 9:47 pm
by Joe M.
Immediate problems:
* No way to re-assign stats.
* My char is super super fast. All my speed-boosting items have a *huge* effect.
* Every time I drop an item, or equip an item, or move an item into storage, the scroll resets to the top of the list. Very irritating.
Re: [Latest - April 17] Version 2.11
Posted:
Fri Apr 17, 2009 11:04 pm
by sandalhat
Any recommendations? Would it be better to wait it out, or what? Oh, and when do you expect to resolve the issues?
-Chop Master
Re: [Latest - April 17] Version 2.11
Posted:
Fri Apr 17, 2009 11:06 pm
by Joe M.
Critical issues should be resolved in the next couple days (hopefully tomorrow, hopefully early--depends on Karl's schedule).
You can still play at the moment, but with all stats reset to 10, you'll just have to be careful.
Re: [Latest - April 17] Version 2.11
Posted:
Sat Apr 18, 2009 3:30 am
by marzuku
dont know how to reassign my stats and it is not possible ingame as far as i know
Re: [Latest - April 17] Version 2.11
Posted:
Sat Apr 18, 2009 6:33 am
by Karl G.
I fell asleep last night so I didn't activate the admin command to let you reset your stats. You can do that now. Also, I'm working on fixing the speed problems...it would be nice if I had a place I could test this sort of thing. The problem is the main loop scheduler. Anywho...I'm on it!


Sour Grapes (Reviewed on Dec. 15/98)
Starring Stephen Weber, Craig Bierko
"Sour Grapes", newly released on video, is Larry David's directorial debut. Larry David, for those of you not in the know, is the co-creator of Seinfeld and also the man responsible for writing many of the most classic episodes of that sitcom, including the infamous "Contest" episode. Knowing that, one would expect that "Sour Grapes" would reach new heights in hilarity. Well, this does not exactly happen, but it is one of the funnier movies of the year.
The film stars Stephen Weber (from Wings) and Craig Bierko as cousins; one is a doctor, the other is a designer of running shoes. Along with their respective girlfriends, they spontaneously decide to head to Atlantic City for a night of gambling and quote hotel sex. Needless to say, they both find themselves broke quite quickly. Just before giving up, they decide to spend their last few quarters on the slots. At the machines, their luck is equally bad, until one of them hits the big jackpot and wins 400 thousand dollars. There's only one problem. He won with two quarters the other lent him. The rest of the film has the two cousins fighting over the money, with often wacky, sitcom-like results.
I hope my cynical tone doesn't give you the impression that I disliked the film. Quite the opposite, actually. While not consistently funny, it's never boring. The films strong suit is it's actors, particularly Stephen Weber and Craig Bierko as the fuedin' cousins. They're so gleefully over-the-top, you can't help but laugh at their nutty antics. Weber, in particular, was a surprise. After hitting it big with Wings, he didn't really seem to do anything. "Sour Grapes" essentially returns him to his area of expertise, sitcoms. The movie plays like an overlong pilot for a sitcom. Don't get me wrong, that's not a bad thing. Especially when someone as talented as Larry David is involved.
As a person who was quite dismayed when Seinfeld went off the air earlier this year, I had quite high expectations for this movie. Seinfeld has been the only sitcom that has ever made me laugh as consistently as it did, and most of the funniest episodes were in fact written by David. And seeing as though David is credited as the sole writer for Sour Grapes, one would expect that the joke to laugh ratio would be quite high. While there are several moments I found myself laughing outloud, there are too many instances in which the plot gets in the way. David keeps throwing in more and more ludicrious hoops for his characters to jump through, and I got a little tired of it after a while. I would have liked it if he could have done what made his show so famous, and made the movie mostly about "nothing". David's strong suit is his dialogue, so he should have included more dialogue-driven scenes, and less gimmicky plot devices.
Those familiar with David's work on Seinfeld will likely have a good time spotting the similarities between the two. For one thing, David includes classical music into a number of scenes, including the very same piece that was heard in Seinfeld's "Barber" episode. Also, a prominent character in the film is Beirko's domineering, exaggeratingly Jewish mother, which is very similiar to George's mother on Seinfeld.
"Sour Grapes" may not be the funniest movie of the year, that honor goes to the vastly underrated "BASEketball", but it's always entertaining, and in the end, isn't that really all that matters?
*** out of ****
-- David Nusair<EMAIL_ADDRESS>We only want to save the cute animals, don't we? Why don't we just have animal auditions, line them up, one by one: "What are you?" "You're free to go." "I'm an otter." "And what are you?" "And what do you do?" "I'm a cow." "I swim around on my back and do cute "Get in the fuckin' truck, pal." little human things with my hands!" -Denis Leary
Come visit my Reel Film Reviews site! "http://chat.carleton.ca/~dnusair"
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Package org.drip.spaces.functionclass
Class NormedRxToNormedRxFinite
- java.lang.Object
-
- org.drip.spaces.functionclass.NormedRxToNormedRxFinite
-
- Direct Known Subclasses:
NormedRxToNormedR1Finite
,NormedRxToNormedRdFinite
public abstract class NormedRxToNormedRxFinite extends java.lang.Object
NormedRxToNormedRxFinite exposes the Space of Functions that are a Transform from the Normed Rx To Normed Rd Spaces. The References are:
- Carl, B. (1985): Inequalities of the Bernstein-Jackson type and the Degree of Compactness of Operators in Banach Spaces Annals of the Fourier Institute 35 (3) 79-118
- Carl, B., and I. Stephani (1990): Entropy, Compactness, and the Approximation of Operators Cambridge University Press Cambridge UK
- Williamson, R. C., A. J. Smola, and B. Scholkopf (2000): Entropy Numbers of Linear Function Classes, in: Proceedings of the 13th Annual Conference on Computational Learning Theory ACM New York
- Module = Computational Core Module
- Library = Statistical Learning Library
- Project = R1 and Rd Vector/Tensor Spaces (Validated and/or Normed), and Function Classes
- Package = Normed Finite Spaces Function Class
- Author:
- Lakshmi Krishnamurthy
-
-
Method Summary
Modifier and Type Method Description abstract FunctionClassCoveringBounds
agnosticCoveringNumberBounds()
Retrieve the Agnostic Covering Number Upper/Lower Bounds for the Function Classabstract GeneralizedMetricVectorSpace
inputMetricVectorSpace()
Retrieve the Input Vector Spacedouble
maureyConstant()
Retrieve the Maurey Constantabstract double
operatorPopulationMetricNorm()
Compute the Operator Population Metric Normabstract double
operatorPopulationSupremumNorm()
Compute the Operator Population Supremum Normabstract double
operatorSampleMetricNorm(GeneralizedValidatedVector gvvi)
Compute the Operator Sample Metric Normabstract double
operatorSampleSupremumNorm(GeneralizedValidatedVector gvvi)
Compute the Operator Sample Supremum Normint
outputDimension()
Compute the Output Dimensionabstract GeneralizedMetricVectorSpace
outputMetricVectorSpace()
Retrieve the Output Vector SpaceMaureyOperatorCoveringBounds
populationMetricCoveringBounds()
Compute the Maurey Covering Number Upper Bounds for Operator Population Metric NormMaureyOperatorCoveringBounds
populationSupremumCoveringBounds()
Compute the Maurey Covering Number Upper Bounds for Operator Population Supremum NormMaureyOperatorCoveringBounds
sampleMetricCoveringBounds(GeneralizedValidatedVector gvvi)
Compute the Maurey Covering Number Upper Bounds for Operator Sample Metric NormMaureyOperatorCoveringBounds
sampleSupremumCoveringBounds(GeneralizedValidatedVector gvvi)
Compute the Maurey Covering Number Upper Bounds for Operator Sample Supremum NormFunctionClassCoveringBounds
scaleSensitiveCoveringBounds(GeneralizedValidatedVector gvvi, R1ToR1 funcR1ToR1FatShatter)
Retrieve the Scale-Sensitive Covering Number Upper/Lower Bounds given the Specified Sample for the Function Class
-
-
-
Method Detail
-
inputMetricVectorSpace
public abstract GeneralizedMetricVectorSpace inputMetricVectorSpace()
Retrieve the Input Vector Space- Returns:
- The Input Vector Space
-
outputMetricVectorSpace
public abstract GeneralizedMetricVectorSpace outputMetricVectorSpace()
Retrieve the Output Vector Space- Returns:
- The Output Vector Space
-
operatorPopulationMetricNorm
public abstract double operatorPopulationMetricNorm() throws java.lang.Exception
Compute the Operator Population Metric Norm- Returns:
- The Operator Population Metric Norm
- Throws:
java.lang.Exception
- Thrown if the Operator Norm cannot be computed
-
operatorPopulationSupremumNorm
public abstract double operatorPopulationSupremumNorm() throws java.lang.Exception
Compute the Operator Population Supremum Norm- Returns:
- The Operator Population Supremum Norm
- Throws:
java.lang.Exception
- Thrown if the Operator Population Supremum Norm cannot be computed
-
operatorSampleMetricNorm
public abstract double operatorSampleMetricNorm(GeneralizedValidatedVector gvvi) throws java.lang.Exception
Compute the Operator Sample Metric Norm- Parameters:
gvvi
- The Validated Vector Space Instance- Returns:
- The Operator Sample Metric Norm
- Throws:
java.lang.Exception
- Thrown if the Operator Norm cannot be computed
-
operatorSampleSupremumNorm
public abstract double operatorSampleSupremumNorm(GeneralizedValidatedVector gvvi) throws java.lang.Exception
Compute the Operator Sample Supremum Norm- Parameters:
gvvi
- The Validated Vector Space Instance- Returns:
- The Operator Sample Supremum Norm
- Throws:
java.lang.Exception
- Thrown if the Operator Sample Supremum Norm cannot be computed
-
agnosticCoveringNumberBounds
public abstract FunctionClassCoveringBounds agnosticCoveringNumberBounds()
Retrieve the Agnostic Covering Number Upper/Lower Bounds for the Function Class- Returns:
- The Agnostic Covering Number Upper/Lower Bounds for the Function Class
-
maureyConstant
public double maureyConstant()
Retrieve the Maurey Constant- Returns:
- The Maurey Constant
-
scaleSensitiveCoveringBounds
public FunctionClassCoveringBounds scaleSensitiveCoveringBounds(GeneralizedValidatedVector gvvi, R1ToR1 funcR1ToR1FatShatter)
Retrieve the Scale-Sensitive Covering Number Upper/Lower Bounds given the Specified Sample for the Function Class- Parameters:
gvvi
- The Validated Instance Vector SequencefuncR1ToR1FatShatter
- The Cover Fat Shattering Coefficient R^1 To R^1- Returns:
- The Scale-Sensitive Covering Number Upper/Lower Bounds given the Specified Sample for the Function Class
-
outputDimension
public int outputDimension() throws java.lang.Exception
Compute the Output Dimension- Returns:
- The Output Dimension
- Throws:
java.lang.Exception
- Thrown if the Output Dimension is Invalid
-
populationMetricCoveringBounds
public MaureyOperatorCoveringBounds populationMetricCoveringBounds()
Compute the Maurey Covering Number Upper Bounds for Operator Population Metric Norm- Returns:
- The Maurey Operator Covering Number Upper Bounds Instance Corresponding to the Operator Population Metric Norm
-
populationSupremumCoveringBounds
public MaureyOperatorCoveringBounds populationSupremumCoveringBounds()
Compute the Maurey Covering Number Upper Bounds for Operator Population Supremum Norm- Returns:
- The Maurey Operator Covering Number Upper Bounds Instance Corresponding to the Operator Population Supremum Norm
-
sampleMetricCoveringBounds
public MaureyOperatorCoveringBounds sampleMetricCoveringBounds(GeneralizedValidatedVector gvvi)
Compute the Maurey Covering Number Upper Bounds for Operator Sample Metric Norm- Parameters:
gvvi
- The Validated Vector Space Instance- Returns:
- The Maurey Operator Covering Number Upper Bounds Instance Corresponding to the Operator Sample Metric Norm
-
sampleSupremumCoveringBounds
public MaureyOperatorCoveringBounds sampleSupremumCoveringBounds(GeneralizedValidatedVector gvvi)
Compute the Maurey Covering Number Upper Bounds for Operator Sample Supremum Norm- Parameters:
gvvi
- The Validated Vector Space Instance- Returns:
- The Maurey Operator Covering Number Upper Bounds Instance Corresponding to the Operator Sample Supremum Norm
-
-


Mozfest Session 2017
If you’re at MozFest, drop by our session on Sunday the 19th of October at 3:15 PM. We’ll be updating this section with the notes from our session.
The session is on the 9th floor (don’t worry, there are lifts/elevators!) in section L1. Look for our awesome sign:
https://twitter.com/codeisscience/status/923921750966009857Look for this sign if you're coming to our session on Sunday at 3:15! Based on the logo by @Geek_Fred pic.twitter.com/obtKLTsKlD
— Code Is Science (@codeisscience) October 27, 2017
And don’t forget to come grab code is science stickers!! :)
Session notes
Yo Yehudi, software engineer, dept of genetics, Cambridge. Works in intermine. During her work, she’s spotted a lot of work on code used in research, but lack of practise with sharing it. This is a problem because it means any potential errors or mistakes aren’t picked up. Desire: code is open source as gold standard, or at least reviewed before publishing.
In room: 17 (inc 3 facilitators) - increased to ~20 Academics/scientists: 10 Coders: 7 (all open source) Some overlap academia and Coders
Problems with sharing code
Activity: group discussion - why do people chose to make their academic code closed source?
Post-it suggestions: * embarrassment - repeated * secrecy * laziness * commercial interest, monetary value * scared of others to see code, features * don’t know they can * don’t know how * configuration and private keys (e.g. need to sanitise the code from sensitive info) * patents * lack of reasons / lack of incentive * do not own copyright (employer does) * maintenance burden (expectation of open source even if not offered) * reputational value - giving away your own advantage to others * nobody else would want it * it’s mine * no facility for peer review of code (apparently there is now!) * default is not to, easier to do that * untidyness * working with something sensitive - e.g. an open data issue
Main topics: * Skills * Awareness * Fear/shame of sharing (e.g. showing mistakes) * Effort and time to make truly open source, including cleaning the code first to remove (awareness/skill issue too) * Patents/IP/commercial/copyright conflict (particularly if belonging to employer) * Lack of incentive, apathy, unclear use * Losing your advantage for future work/reputation * Documentation or maintenance burden
Code review discussion
ROpenSci are offering review service for code - but this is for R packages (a minimum quality standard, not full review). Journal of Open Source Software also reviews research software. But the review of the scripts used in research and in papers only is not reviewed, plus the use of these packages is a black box - the community does not know how these packages are applied.
How do you academically review code?
- Automated tests - which is worst: no tests, or tests failed?
- Minimum quality requirements
Do we need a facility for reviewing code? Is reviewing just hard? * Reviewers should accept responsibility to not only review the paper but the code too * But no unicorn reviewer who knows all the languages and statistics * Communicating the message clearly is important. This is not enough if reviewer is not comfortable in the language. * Would reviewer accept to review a paper they are not able to? The code language is not supplied upon review invitation. This is difference between paper content and method/language.
Solutions? * Could the paper be tagged for language? * Could there be a specialist reviewer for this? * Current reviewers: it already takes too long.
Incentives for sharing code
- Help to overcome the fear and/or apathy
- Credit for submitting a paper with code versus not
- Social sciences: very few researchers use code, community not able to care even if the coder-scientist shares their code
- How can the reader appreciate your interpretation without knowing what is behind?
- This is standard. Other scientists using SPSS or Excel, so noone knows the script normally anyway.
Potential solutions
Database of journals that require OS license for code (Yo is making one)
- JOSS
Journal: Earth and Space Science has special edition for submissions with OS code and open data and standardised metadata - very high bar. Someone in room has submitted there.
eLife does - see https://submit.elifesciences.org/html/elife_author_instructions.html#policies
PLoS does - see http://journals.plos.org/plosone/s/materials-and-software-sharing
Post-it notes:
* Widening the concept of being published - presenting at conferences and being more acceptable to be sharing a software package and not a journal paper, happening in some fields.
* Push from funders and journals
* Some are already getting there
* Petition for this - people are keen. Wellcome have already done this, are keen
* Journals should require open source code otherwise no acceptance. Requires multi-journal uptake
* Funders should require it
* Explain how code was tested
* CodeOcean - platform that lets you upload data, code, package up and interactively explore results. Multi-language.
* Badge or certification for having had the code shared or checked, e.g. the Open Data badge used in another journal. Doesn’t Mozilla open badges (or COS badges) already have this? “Open materials”
* Make open source the default in public institutions (license is important). Problem with a campus license for a commercial software - because the discounted offer encourages use by the researchers throughout the institution.
* Convince the researcher to take part in decision over which software to buy.
* Open source software doesn’t come with training, but commercial software does - so harder for institution to choose open source. Much harder to convince people to pay for training than to pay for software (to do with how budgets work)
* Perception is that “OS software isn’t as high standard”, “if it’s paid for then it’s higher quality”
* Reputational management - like the badge idea. Some points/reward for sharing the code.
* Better code repository. Github is not the the answer, not long-term preservation (Zenodo and figshare are better)
A lot of these asks can go into a manifesto for what we want with open code in research.
THANK YOU for participating and contributing.
Things you can do right now
Visit and share codeisscience.com - sign up for mailing list Coding tasks: database of journals - would like this to be a website that people can contribute to. Please add to the database. Why do you care? Add your story to a google form. You would like to share these stories. Spread the word. Sign the manifesto - and help to shape it! Then we can send this to journals and funders.


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This simulator is pure HTML5/CSS/Javascript with no server
component required.
The simulator was written by Antti-Juhani Kaijanaho and is
licensed under the following copyright license:
Copyright © 2015, 2016 Antti-Juhani Kaijanaho
Permission is hereby granted, free of charge, to any person
obtaining a copy of this software and associated
documentation files (the "Software"), to deal in the
Software without restriction, including without limitation
the rights to use, copy, modify, merge, publish, distribute,
sublicense, and/or sell copies of the Software, and to
permit persons to whom the Software is furnished to do so,
subject to the following conditions:
The above copyright notice and this permission notice shall
be included in all copies or substantial portions of the
Software.
 IN NO EVENT SHALL THE AUTHORS
OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR
OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR
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Often when you define the display rules for one set of data, you can use the same display rules (sometimes with minor tweaking) for other similar sets of data. In fact, to make your data look consistent across different layers, you probably want to use the same display rules. To do so, you can simply export as a style template the display rules you want to reuse and then import that style template into other projects.
For example, if a project contains two resources with different providers, and you want the data to look the same except for the copyright information, you can define the display rules for one resource, export the display rules as a template, and then import the template for the other resource. Another example is that you might want to define display rules for a small set of data and then use those same rules on a larger set of data. There are many more circumstances in which you can save time by using style templates.
This lesson guides you through the process of defining display rules for a small set of data (the state of California) and then exporting those rules as a style template. In a subsequent exercise, you import that same style template for a larger set of data (the entire US). Since you already defined display rules for population by county in the state of California in the last chapter, most of the work is already done.
Note: If you have not completed Configuring Display Rules for Polygon Data, you must complete at least the first three exercises in that lesson (Define and Build a Vector Resource Using Polygon Data, Define, Configure, and Build a Vector Project, and Define and Build an Imagery Project) before continuing with this lesson.
The Asset Manager appears.
/ASSET_ROOT/Projects/Vector
folder you created in Lesson 7.
The Export Template dialog appears.
You return to the Vector Project Editor.
This exercise walks you through importing the template you created in the previous exercise into a new project.
ASSET_ROOT/Resources/Vector
folder.
The US Population resource appears in the Vector Project Editor.
The Import Template dialog appears.
If you check the box next to Apply legend settings, this step would apply all of the legend settings for the project from which the template was created to this project, including changing the name of the layer. (See Chapter 5 in the Google Earth Enterprise Fusion Reference Guide for details about these settings.)
You return to the Vector Project Editor.
The Layer Properties dialog appears.
Changing the initial state to on results in the US Population layer being automatically checked (turned on) in Google Earth EC.
You return to the Vector Project Editor.
The Save dialog appears.
ASSET_ROOT/Projects/Vector
folder.
The new project appears in the Asset Manager when you select ASSET_ROOT/Projects/Vector in the asset navigation tree.
This exercise walks you through the process of defining, building, and publishing a database using the projects you created in the previous exercise.
ASSET_ROOT/Projects/Vector
. ASSET_ROOT/Databases
folder. The name of the database appears on the right when you select the /ASSET_ROOT/Databases
folder in the asset navigation tree.
Google Earth Enterprise Fusion builds the database. The build process might take a little longer than it has for previous databases, because it is building the project as well, since you did not build the project at the end of the previous exercise.
This exercise walks you through the process of building, publishing, and viewing your database in Google Earth EC.
The Login dialog appears.
Caution: If you have logged in to this server with Google Earth EC previously, log out, clear your cache, and log back in. For help with clearing your cache, refer to the Google Earth User Guide.
Google Earth EC displays all of the counties in the US labeled with the names of the counties. The closer you zoom in, the more spread out the counties look and the more county names you can see. As with the database you created in Lesson 7, each county’s height indicates its relative population. Counties with higher populations are taller, and counties with lower populations are shorter.
Note: If you cannot see the vector data, make sure the check box next to CA County Population in the Layers panel is checked.
If this were a real project, you might decide that displaying the names of the counties makes this view too cluttered. You can go back into the vector project, modify the display rules, rebuild and publish the database, and then view your data in Google Earth EC again. Repeat this process as many times as required to get the result you want.


{{blog.title}}
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YBN Cordae Gives Dr. Dre Edge Over Kanye West, Swizz Beatz + Everyone Else: “Greatest Producer Of All Time”
by Rosario HarperEast Coast rapper YBN Cordae is giving major respect to music mogul Dr. Dre. The hip-hop star has called the Doc the greatest producer of all time.
Last night, Cordae went online to salute Dre and remind the world he’s the best hitmaker ever.
Last year, YBN and Dre linked up for a studio session together.
Yesterday, Dre and rap superstar Kanye West hit the studio together to announce an upcoming Jesus Is King album follow-up.


Users
Projects
Dashboard
Howdy, Admin
Logout
Update User Information
Name
Please enter a name.
Weekly Hours
Please enter a valid number.
Email
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Admin Rights
Update
Print Report
Delete User


Manage library plates
Add, edit, update and remove library plates. View how availability of compounds changed over time.
Manage libraries
Add, edit, and remove libraries
Manage presets
Add, edit, and remove presets
Manage projects
Create new projects, and edit user's library plates or experimental data in existing projects
Locate compounds
Upload a list of compounds without saving it in the database, and check its availability
Other data
Manage user persmission, look up compounds and library plates, compare library plates


| Interface | Description |
|---|---|
| Map4D.InfoWindowAdapter | |
| Map4D.OnCameraIdleListener | |
| Map4D.OnCameraMoveListener | |
| Map4D.OnCameraMoveStartedListener | |
| Map4D.OnCircleClickListener |
Callback interface for when a circle is clicked.
|
| Map4D.OnMapClickListener | |
| Map4D.OnMapModeChangeListener |
Call when Change Map mode from 3D to 2D and vise versua
|
| Map4D.OnMarkerClickListener | |
| Map4D.OnMyLocationButtonClickListener | |
| Map4D.OnMyLocationClickListener | |
| Map4D.OnObjectClickListener |
Callback interface for when a object is clicked.
|
| Map4D.OnPolygonClickListener |
Callback interface for when a polygon is clicked.
|
| Map4D.OnPolylineClickListener |
Callback interface for when a polyline is clicked.
|
| OnMapReadyCallback |
Callback interface for when the map is ready to be used.
|
| Class | Description |
|---|---|
| LatLng |
An immutable class representing a pair of latitude and longitude coordinates, stored as degrees.
|
| LatLngBounds |
An immutable class representing a latitude/longitude aligned rectangle.
|
| LatLngBounds.Builder |
Builder for composing LatLngBounds objects.
|
| Map4D |
This is the main class of the Map4D Android API and is the entry point for all methods
related to the map.
|
| MapConstants |
Don't use this class.
|
| MapContext |
Don't use this class.
|
| MFMapFragment | |
| MFMapView |
A View which displays a map
|
| MFObject | |
| MFProjection |
A projection is used to translate between on screen location and geographic coordinates on
the surface of the Earth (LatLng).
|
| MFSupportMapFragment | |
| MFTileArea |
Tile area is a area on the map which will render your custom map from the given map url
|
| MFTileAreaOptions |
Defines options for MFTileArea
|
| MFUiSettings |
Settings for the user interface of a Map4D.
|
| TileAreaDelegateImpl |
| Enum | Description |
|---|---|
| MFSwitchMode |


Open-Source Full-Stack Solution For MEAN Applications
Learn more
Description:
TIME: {{ speaker.schedule | date:"MM/dd/yyyy 'at' h:mma" }}


Train the model to differentiate between two sets of images/poses
0 Pose 1 Images
0 Pose 2 Images
Your custom model labeled this as: ...


Bishop's Conservatory Junior School
Archbishop Pietru Pace Street,
Victoria,
Gozo
Contact Details
-<EMAIL_ADDRESS>- +356 21 55 65 06
- +356 21 55 00 08
For more information, including setup and configuration of Google Classroom send an email to<EMAIL_ADDRESS>Book Uniform Appointment
Please click the link above to book an appointment slot, and choose the appropriate date depending on the class the student is assigned to. You are required to sign in on your Gmail Account.
with by CloudBosses


- Where can I sign up for KidVantage?
The KidVantage program is offered exclusively at Sears stores in the United States. To enroll, simply visit a Sears store and tell the Associate you want to enroll before you make your purchase of kid’s clothing or shoes. The Associate will ask you for either your Sears card or your home phone number. There’s no cost to enroll and you’ll use your home phone number every time you transact to have your transaction posted to your KidVantage account. We will also ask for your email address so we may send you valuable offers related to you and your family.
- What do I do if I change my phone number?
Be sure to tell the Associate your old phone number so the Associate can adjust your record and carry forward any balance you have to your new phone number.
- What happens if the Sales Associate says I am listed in the system more than once?
In some instances, we may have multiple accounts in the system for you each with its own individual KidVantage program balance but a different spelling of your name or address. If that happens, ask the Associate to combine the multiple accounts and balances into one account.
- What products count towards the KidVantage program?
The KidVantage program includes clothing and shoes purchased at Sears stores in the United States sizes infant to 20 for clothing, and children’s shoes girls’ to size 4 and boys’ to size 6. Your first purchase when you enroll counts towards your first $100 spending requirement for qualifying KidVantage items to generate a 15% off coupon. Please note, however, sales tax does not count toward the spend requirement. Also, the purchase where you redeem your 15% off savings coupon does not count towards your next redemption.
- Can I make a purchase at Sears.com and have it count towards KidVantage?
Unfortunately at this time, only purchases made and picked up at Sears stores count toward the KidVantage program.
- Can I use the kiosks in a Sears store and have it count towards KidVantage?
Unfortunately at this time, only purchases made and picked up at Sears stores count toward the KidVantage program.
- How does the wear-out guarantee work?
There is no time restriction on the wear-out guarantee however we may require your receipt to prove you purchased the item at Sears. Please remember, however, that the replaced item must be in the same size of the worn-out item being returned. If the item being returned under the wear-out guarantee is no longer in stock, we’ll issue you a credit based on the purchase price indicated on your receipt for that item toward another kids’ apparel or shoe item in the same size of the original item being returned.
- How do I find out how much spend I have in the KidVantage program?
Simply ask any Associate at a Sears store to look up your balance. They’ll need either your Sears card or your home phone number. Your balance will also be printed on your receipt with a qualified KidVantage purchase at a Sears store.
- How do I get my 15% savings coupon?
 Be sure to get all the paper that prints at the register every time you shop at Sears.
- Are there any restrictions on my 15% off savings coupon?
While there is no limit on how many coupons you may earn however the 15% off savings coupons cannot be combined with other coupons. The 15% off savings coupon cannot be used on Everyday Great Price, clearance merchandise or kids’ Lands’ End® merchandise. (Please note however, the purchase of kids’ Lands’ End merchandise does count toward the $100 spend.)


Before we can get started, we'll show you how the task works and point out a few notable details. In this task, you'll be presented with a series of {{ numObjects }} objects, and asked to rate the frequency that the object is that color. You are allowed to skip any objects that you're not familiar with, at which point you'll be presented with a new object. Note that skipped objects are not counted toward your HIT completion.
For each of the listed colors, you'll use sliders to indicate how frequently the object is that color. Use a scale of 0-5 in your ratings where 0 corresponds to sometimes and 5 corresponds to almost always. Note that extremely rare or extraordinary events correspond to 0 on this scale. All responses will be normalized as a distribution over the selected colors. For example, a rating of 5/5 for 2 colors is identical to a rating of 1/5 for both colors (both will be 50/50).
Detailed instructions and acceptance criteria are provided below and will also be available once you start the HIT. Feel free to review them now or click the link below to get started.


航 空
Small packet
BY AIR
IE
爱尔兰
华南小包平邮:<PHONE_NUMBER>9000
TO:
edel shannon
greygrove kilmihil,co. clare ennis
ennis
IRELAND
ZIP:
111 111
TEL:
0860565509
退件单位:
UNTRACKED
89840075202
【755013631】
Ref No:
STT361043
CS: S6435
SD:
S5208 (X001)
报关签条
CUSTOMS DECLARATION
邮 2113
CN22
可以自行开拆
May be opened officially
邮件种类
Category of item
Gift
Commercial sample
Documents
Other
内件详细名称和数量
Quantity and detailed description of contents
重量
Weight
In kg
价值
Value
(USD)
Hook1
0.2
10
Hook2
0.2
10
Hook3
0.2
10
协调系统税则号列和货物原产国
HS tarifff number and country of origin of goods(For commercial items only)
总重量
Total
Weight
In kg
总价值
Total
Value
(USD)
0.6
30
我保证上述申报准确无误，本函件内未装寄法律或邮政和海关规章禁止寄递的任何危险物品
I,the undersigned,whose name and address are given on the itme, certify that particulars given in this declaration are correct and that this item dose not contain any dangerous article or artices prohibited by legislation or by postal or customs regulations Date and sender`s signature
寄件人签字 Sernder's signature:


Functional tests:
misc
notifications
walkthrough
peer status
forms
ace
codemirror
Unit tests:
storage
resolves
elementFinder
ot text
linkify
console
misc (small)
Manual testing
Manual tests
xxx


Class Underwriting
- Extends Playable
Class Summary
Underwriting(params)
contains all basic attributes for an underwriting campaign. Extends Playable
- Parameters:
- {Object} params
- an object containing attributes matching those in the Field Summary.
Field Detail
{string}
click_url
OAS-type thing. may not be necessary
{boolean}
has_played
basic indicator used to show if played or not.
{string}
image_url
location of image to display w/ underwriting


{% extends "registration/base.html" %} {% load bootstrap4 %} {% block title %}Password change{% endblock %} {% block meta_description %}Password change form{% endblock %} {% block main_content %}
Please enter your old password, for security's sake, and then enter your new password twice so we can verify you typed it in correctly.


|
PX4 Firmware
PX4 Autopilot Software http://px4.io
|
Interface to enable remote subscriptions. More...
#include <uORBCommunicator.hpp>
Public Member Functions | |
| virtual int16_t | topic_advertised (const char *messageName)=0 |
| Interface to notify the remote entity of a topic being advertised. More... | |
| virtual int16_t | add_subscription (const char *messageName, int32_t msgRateInHz)=0 |
| Interface to notify the remote entity of a topic being unadvertised and is no longer publishing messages. More... | |
| virtual int16_t | remove_subscription (const char *messageName)=0 |
| Interface to notify the remote entity of removal of a subscription. More... | |
| virtual int16_t | register_handler (uORBCommunicator::IChannelRxHandler *handler)=0 |
| Register Message Handler. More... | |
| virtual int16_t | send_message (const char *messageName, int32_t length, uint8_t *data)=0 |
| Sends the data message over the communication link. More... | |
Interface to enable remote subscriptions.
The implementor of this interface shall manage the communication channel. It can be fastRPC or tcp or ip.
Definition at line 51 of file uORBCommunicator.hpp.
|
pure virtual |
Interface to notify the remote entity of a topic being unadvertised and is no longer publishing messages.
| messageName | This represents the uORB message name(aka topic); This message name should be globally unique. |
| messageName | This represents the uORB message name; This message name should be globally unique. |
| msgRate | The max rate at which the subscriber can accept the messages. |
Implemented in uORB::KraitFastRpcChannel, and uORB::FastRpcChannel.
Referenced by uORB::DeviceNode::add_internal_subscriber().
|
pure virtual |
Register Message Handler.
This is internal for the IChannel implementer*
Implemented in uORB::KraitFastRpcChannel, and uORB::FastRpcChannel.
Referenced by uORB::Manager::node_open().
|
pure virtual |
Interface to notify the remote entity of removal of a subscription.
| messageName | This represents the uORB message name; This message name should be globally unique. |
Implemented in uORB::KraitFastRpcChannel, and uORB::FastRpcChannel.
Referenced by uORB::DeviceNode::remove_internal_subscriber().
|
pure virtual |
Sends the data message over the communication link.
| messageName | This represents the uORB message name; This message name should be globally unique. |
| length | The length of the data buffer to be sent. |
| data | The actual data to be sent. |
Implemented in uORB::KraitFastRpcChannel, and uORB::FastRpcChannel.
Referenced by uORB::DeviceNode::publish(), and uORB::DeviceNode::remove_internal_subscriber().
|
pure virtual |
Interface to notify the remote entity of a topic being advertised.
| messageName | This represents the uORB message name(aka topic); This message name should be globally unique. |
Implemented in uORB::KraitFastRpcChannel, and uORB::FastRpcChannel.
Referenced by uORB::DeviceNode::unadvertise().


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Changelog¶
Changes from 0.8.6 to 0.8.7¶
continued code cleanup
Changes from 0.8.5 to 0.8.6¶
another bug-fix release
added argCheck method to make sure that sizes of temperature, density and emission measure were compatible
Changes from 0.8.4 to 0.8.5¶
This is a major bug-fix release.¶
Errors in calculating the proton rates were corrected.
All temperatures and densities are now numpy arrays
Changes from 0.8.3 to 0.8.4¶
This is a major bug-fix release.¶
Another significant bug was fixed in the important ion.populate method.
Changes from 0.7.1 to 0.8.3¶
This is a major bug-fix release.¶
a small but mighty bug was found in the important ion.populate method.
Version 0.8.x files are necessary to use with the new CHIANTI Version 9.0 database¶
Changes have been made to take into account the new way that CHIANTI is handling dielectronic recombination and autoionization
The release is also available on [PyPI](https://pypi.org/project/ChiantiPy/)
Documentation is available on [github.io](https://chianti-atomic.github.io/)
and on [ReadTheDocs](https://chiantipy.readthedocs.io/en/latest/?badge=latest)
changes from 0.7.1 to 0.8.0¶
ChiantiPy is now only compliant with Python 3. Development is currently with Python 3.6
The use of the PyQt4 and WxWidgets packages have been dropped and PyQt5 is now used
The documentation is now available on github.io and ReadTheDocs
changes from 0.7.0 to 0.7.1¶
version 0.7.0 included some changes in the ChiantiPy naming conventions, largely in the continuum class. These are being reverted to the original ChiantiPy naming conventions.
the ion.freeBoundxxx methods have been fixed and this also fixes the problem with the RadLoss class.
a pseudo-voigt filter has been added to tools.filters
the keyword argument wvlRange has been removed from the ion.emiss and ion.intensity methods
the keyword argument for the Emission Measure, em, has been removed from the ion.intensity and similar methods. It is now necessary to specify the emission when the object is instantiated.
a set of PyQt5 dialogs have been developed by ktritz and are now included
this is the last release that will use the PyQt4 widgets as an option.
the method ioneqOne is used by both the Ion and Continuum class. It has been moved to a single _IoneqOne.py file in the base directory
changes from 0.6.5 to 0.7.0¶
The primary change is that code developement has been moved to Github.
Also, in order to be more compliant with other astrophysical packages on Github (Astropy and SunPy) the directory layout has been changed and renamed.
The core routines are now imported as
import ChiantiPy.core as ch
this give access to ch.ion, ch.spectrum, etc.
In terms of bug-fixes, the calculation of excitation-autoionization cross-sections and rates have been corrected in the eaCross() and eaRate() methods
Current development is with Python 3.4
changes from 0.6.0 to 0.6.5¶
matplotlib.pyplot is now imported for plotting
IPython version 4 / Jupyter is now listed as a prerequisite. However, v0.6.4 can be made compatible with IPython 2 or 3 with a simple edit.
An error in calculating the proton excitation rates was fixed.
The code has been edited to make it compatible with Python 3 and has been tested against Python 3.3
changes from 0.5.3 to 0.6.0¶
This is a major release.
First, ChiantiPy 0.6.0 is compatible with the most recently released CHIANTI database version 8.0. It also fixes some major bugs in the previous version. Documentation has been improved and a IPython notebook QuickStart.ipynb, that largely follows the ‘Quick Start’ documentation pages, has also been included.
There are two new multi-ion classes: bunch and ipymspectrum. bunch allows the user to calculate line intensities for a specified set of elements or individual ions as a function of temperature or density. One advantage of bunch is the ability to calculate the intensity ratio of lines of two different ions as a function of temperature or density.
ipymspectrum is much like the existing spectrum and mspectrum classes. mspectrum allows the use of the Python multiprocessing module to speed up spectral calculations. The ipymspectrum class uses the IPython parallel module so that multiprocessing spectral calculations can be performed in the IPython QtConsole and Notebook.
A new method intensityList has been developed to allow the user to list the most intense lines within a given wavelength range. This new methods, together with previously existing intensityRatio and intensityRatioSave are all now inherited by the ion classs and the multi-ion classes.
The ion and multi-ion classes now accept the keyword argument abundanceName that allow the user to specify the set of elemental abundances rather than just the default abundance file.
Additional we have replaced the FortranFormat module of Scientific Python by Konrad Hinsen with the fortranformat module of Brendan Arnold at http://bitbucket.org/brendanarnold/py-fortranformat. I have slightly modified fortranformat to make it Python 3 compliant.
For the future, I plan to make ChiantiPy compliant with both Python 2.7 and the current version of Python 3 (now 3.4), improve the documentation and move the projec to github, in no particular order.
ChiantiPy is now released under a new license, the OSI approved ISCL license. From Wikipedia The ISCL license is a permissive free software license written by the Internet Software Consortium (ISC). It is functionally equivalent to the simplified BSD and MIT/Expat licenses, …


Objectives
The goal of this library is to simplify the development of APIs that leverage the full range of features provided by the JSON:API specification. You just need to focus on defining the resources and implementing your custom business logic.
Eliminate boilerplate
We strive to eliminate as much boilerplate as possible by offering out-of-the-box features such as sorting, filtering and pagination.
Extensibility
This library has been designed around dependency injection, making extensibility incredibly easy.
Features
The following features are supported, from HTTP all the way down to the database
Filtering
Perform compound filtering using the filter
query string parameter
Sorting
Order resources on one or multiple attributes using the sort
query string parameter
Pagination
Leverage the benefits of paginated resources with the page
query string parameter
Sparse fieldset selection
Get only the data that you need using the fields
query string parameter
Relationship inclusion
Side-load related resources of nested relationships using the include
query string parameter
Security
Configure permissions, such as view/create/change/sort/filter of attributes and relationships
Validation
Validate incoming requests using built-in ASP.NET Core ModelState
validation, which works seamlessly with partial updates
Customizable
Use various extensibility points to intercept and run custom code, besides just model annotations
Example usage
Expose resources with attributes and relationships
Resource
#nullable enable
public class Article : Identifiable<long>
{
[Attr]
[MaxLength(30)]
public string Title { get; set; } = null!;
[Attr(Capabilities = AttrCapabilities.AllowFilter)]
public string? Summary { get; set; }
[Attr(PublicName = "websiteUrl")]
public string? Url { get; set; }
[Attr]
[Required]
public int? WordCount { get; set; }
[Attr(Capabilities = AttrCapabilities.AllowView)]
public DateTimeOffset LastModifiedAt { get; set; }
[HasOne]
public Person Author { get; set; } = null!;
[HasOne]
public Person? Reviewer { get; set; }
[HasMany]
public ICollection<Tag> Tags { get; set; } = new HashSet<Tag>();
}
Request
GET /articles?filter=contains(summary,'web')&sort=-lastModifiedAt&fields[articles]=title,summary&include=author HTTP/1.1
Response
{
"meta": {
"totalResources": 1
},
"links": {
"self": "/articles?filter=contains(summary,'web')&sort=-lastModifiedAt&fields%5Barticles%5D=title,summary&include=author",
"first": "/articles?filter=contains(summary,'web')&sort=-lastModifiedAt&fields%5Barticles%5D=title,summary&include=author",
"last": "/articles?filter=contains(summary,'web')&sort=-lastModifiedAt&fields%5Barticles%5D=title,summary&include=author"
},
"data": [
{
"type": "articles",
"id": "1",
"attributes": {
"title": "JsonApiDotNetCore rocks!",
"summary": "Using JsonApiDotNetCore makes the web a better accessible place."
},
"relationships": {
"author": {
"links": {
"self": "/articles/1/relationships/author",
"related": "/articles/1/author"
},
"data": {
"type": "people",
"id": "1"
}
}
},
"links": {
"self": "/articles/1"
}
}
],
"included": [
{
"type": "people",
"id": "1",
"attributes": {
"name": "John Doe"
},
"relationships": {
"articles": {
"links": {
"self": "/people/1/relationships/articles",
"related": "/people/1/articles"
}
}
},
"links": {
"self": "/people/1"
}
}
]
}


Where have all the scooters gone?
Ten months after they were announced to promote mobility in the Algarve, electric scooters have been removed from the streets of Faro and Portimão, sources linked to the project told Lusa.
The two cities were the only ones in the Faro district that provided a network of shared scooters for rental - in Faro since February and in Portimão since July - but the companies that operated them have decided to suspend operations.
Luís Guerreiro, head of the subcontractor to ensure Voi’s logistics operation in Faro, told Lusa that the removal of the scooters was due to the “lack of profitability” of the operation and the need to “strengthen other markets”.
The other company operating in Faro and Portimão, the German Circ, also took its scooters off the streets, but a source of the company hired for logistics in the Algarve explained that they were “placed in Lisbon”, with no information “if they will return to the Algarve”.
On the streets of Faro, the 300 scooter parking places created by the council are now empty, but Sophie Matias, who is responsible for mobility in the municipality said she had established an agreement with the company Bolt, and another one still “in the pipeline”.
At the moment, this type of mobility is “a little experimental”, so both operators and cities are experimenting and Faro ended up being “a pilot too”.
In Portimão, Circ removed the 100 scooters after the trial period agreed between the council and the company ended in October. There is currently no company operating in the rental of scooters in Portimão.
The Swedish company Voi was the first in Portugal to provide electric scooters in more than one city, but announced at the end of October that it would stop operating in Portugal, mobilising the scooters to other European cities.


Recommertainment is a web app that takes public APIs from diferents databases and web pages to give our users the best recommendation in movies, series and anime. You can easily access to the most popular or best rated movies and series in a period of time or at all; see where to watch it and extra info about it.
For Movies and series we use the API from The Movie Database, a collaborative database about movies and series. all info about the movies is provided by this site, all this web page do is organize it to give recommendations to our users using TMBD data


This intention shows popup with result of single step macro expansion (without expansion of nested macro invocations).


For Developers
JavaScript SDK
The JavaScript Client SDK is fully part of the Nuxeo Platform. Two implementations are provided. One uses node.js primitives, one is based on JQuery XHR. The client exposes:
- Wrappers for resources oriented REST API (at least documents)
- Utilities for automation calls
- Utilities for other resources oriented endpoints REST calls
- Batch upload helper
- Basic and token based authentications.
Client is packaged using bower for the JQuery implementation, and NPM for the node implementation. Clients are under continuous integration using phantom.js.
Migration to Maven 3
As of this new release, Nuxeo Platform is built using Maven 3. This has been made possible because we have written a new version of our assembly plugin compatible with Maven3. See NXP-13555.
Token Based Authentication Management & OAuth 2.0 Support
Exploding demand of API use makes it necessary to provide easy means for developers to manage authentication of the applications they develop, let it be on JavaScript based app, iOS, Python (with Drive)… The token based authentication service, implemented initially for the requirements of Nuxeo Drive is extracted and generalized, made available to the Nuxeo Platform developers. In the same time, OAuth 2.0 support is added, so as to provide as an option a very secured way of handling the authentication process.
JSF State and HTTP Session Debug
We have added new debugging tools to inspect the JSF state and the HTTP session.
This module provides a WebEngine access to inspect the JSF state of a faces view. It is useful to figure out the size of the http session and the complexity of implemented view.
Java 8 Support
This new release has been tested with Java 8. You can see the list of changes on NXP-13570.
NXQL Query and Fetch
Using the queryAndFetch method you can now use COUNT, AVG, SUM, MIN and MAX in your NXQL queries. Again, this only work when using queryAndFetch. See NXP-13708 for reference.


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Effects Added:
10xx - Set WAVE:
This effect will change the current wave defined in the WAVE Channel Instrument Editor Window.
11xx - Enable Noise Channel:
This effect will enable the features of the Channels 5 and 6 to produce Noise, a value different from zero will enable the noise channel in the current channel. This command will only take Effect in channels 5 and 6.
12xx - Set LFO Mode:
Enabling the LFO will mute the Channel 2. This effect will set the current LFO mode, a value of 00 will turn off the LFO, a value of 01 will add the LFO data directly to channel 0's frequency, a value of 02 will shift the LFO data left by four places and then it will be added to the frequency, a value of 03 will shift left the LFO data by eight places and then it will be added to the frequency.
13xx - Set LFO Speed:
This effect will set the LFO speed if it is enabled by 12xx effect.
17xx - Enable Sample Output:
Setting xx to 1 will enable the sample output in the selected channel, setting it to 0 will enable again the wavetable output.


Frittata
Very filling egg dish that’s easy, fast, and can be eaten at any meal. Any other types of vegetables can be added, this is just what I use the most
- ⏲ Prep time: 10 min
- 🍳 Cook time: 30 min
- 🍽 Servings:4-6
Ingredients
- 4-6 Eggs
- ½ Onion
- 1 Bell Pepper
- 2 Tbsp Heavy Cream
- Thinly sliced meat (prosciutto, shaved chicken, sandwich steak, etc.) (Optional)
- Shredded cheese of choice (Optional)
Directions
- Dice peppers and onions and saute in an oven safe pan at medium heat.
- Add in meat to the pan and set oven to low broil.
- Beat eggs, cream, salt, and pepper together in a bowl.
- Add in egg mixture to the pan and mix together until even.
- Cook egg and vegetable mixture in pan until eggs begin to firm up and edges begin to pull away. Place into oven
- Keep in Oven until completely firm. At this point you can add shredded cheese on top and put back into the oven until melted (about 2 more minutes)
- Flip out of pan and cool to room temperature to ensure settling.
Notes
- Other good vegetables include spinach, tomatoes, mushrooms, broccoli rabe
- If adding tomatoes, try to keep as much of the juice out to prevent it from being too watery and falling apart
- An easy way to get it out of the pan is flip upside down on to a plate and then flip again onto another plate/cooling rack
- It is possible to use ground meat as well, but it may have to cook a bit longer in the over to ensure firmness.
Contribution
- AJ XMR:
45kYSzfMbY79HeuFoJC2sSGwoXCkty7X6F8nD7rNMkmuZvsDwoAnxDk3B1bT4rK2Je6z9cvKoxxGqS7aUbzvQajzEcK8nfQ
Recipe tags:
eggs
italian
cheesefare


5 Things We Learned From X-Men: Days of Future Past Peter Dinklage’s porn ‘tache, Jennifer Lawrence’s brilliance and more. Some (tiny) spoilers ahead Read more Social life
DO OR DON’T 14 Things Men Should Never Wear After 30 Light a bonfire in the garden, and step bravely into your best-dressed decade Read more
STYLE How Not To Greet The Dalai Lama Will Hersey recalls a disastrous encounter with the holiest man alive Read more
Offbeat Portraits Give Stars a New Turn I whipped the Scotch tape from my pocket and said SOCIAL LIFE
Spring in Crete Means a Feast of Wild Greens A Nat Geo photographer shares the Mediterranean cuisine of Greece’s largest island. Read more
5 Things We Learned From X-Men: Days of Future Past Peter Dinklage’s porn ‘tache, Jennifer Lawrence’s brilliance and more. Some (tiny) spoilers ahead Read more Social life
DO OR DON’T 14 Things Men Should Never Wear After 30 Light a bonfire in the garden, and step bravely into your best-dressed decade Read more
Stunning Changes Along Colorado River Lake Powell offering kayakers new channels to explore SOCIAL LIFE
STYLE How Not To Greet The Dalai Lama Will Hersey recalls a disastrous encounter with the holiest man alive Read more
Offbeat Portraits Give Stars a New Turn I whipped the Scotch tape from my pocket and said SOCIAL LIFE
Offbeat Portraits Give Stars a New Turn I whipped the Scotch tape from my pocket and said SOCIAL LIFE
Offbeat Portraits Give Stars a New Turn I whipped the Scotch tape from my pocket and said SOCIAL LIFE


Syllabus
Goal
Software development outside of a university class involves code that spans decades (Windows is 27 years old!), teams that span countries, and a lot of bottom-up project management and decision-making. Our goal is to help you grow your software development skills by providing an experience that matches real world software development as closely as possible. Think of it as a bit of an internship during the semester, with a strong mentoring component. We hope that this will be a different kind of class, in a good way.
Specifically, by the end of the course:
- You will have experience contributing to a real-world, large-scale software project.
- You will have participated in a geographically disparate development team, coordinating online.
- You will be familiar with large-scale project workflow using git.
- You will have practiced debugging unfamiliar systems.
- You will gain an understanding about open source project management.
- You will be confident finding and fixing bugs in other people's code, and contributing the fix back to the project.
Course Elements
Team Projects. This class is being taught in conjunction with several universities and open source projects. Each of you will be on a team with other students (from MIT and elsewhere) working on one of those projects. Your mentored by the teaching team and a representative from the open source project.
Student teams will work on improving their projects in two ways. First, by fixing "low hanging fruit" bugs that already exist, to get up to speed. Then, by identifying and pursuing new functionality for the project.
Hands-On Lectures. For the first few weeks, Monday lectures will contain exercises that help you develop project workflow, debugging, and software design skills.
Guest Lectures. Guest lectures will be held occasionally to provide perspective on software development from the view of industry. We expect to cover topics such as open source business models and working with remote teams.
Weekly Agile Meetings. For the majority of the semester, class time will be used to hold mentoring and agile project management meetings.
Course Schedule
The full calendar is available here but the rough outline for the semester is:
- Week 1 - Bootup
Teams choose a name, collaboration framework, and create a simple project homepage. - Every Week - Progress report.
Teams post a short update on their progress from the last week along with any links to demos to the FB group for the course. - 1/3 Point - Software demos and rapid prototypes due.
Students show their classmates what they've accomplished so far and get feedback on future implementations - 2/3 Point - Software demos and "Contract of Deliverables"
Other students are encouraged to use the software and report and any enhancement requests using a issue tracking tool of ce provided by the student team. Students, teaching team, and mentors collaborate to produce a description of the software that will be completed and how the functionality will be validated. - Final - Software Delivery
At the end of the course, we publish the project outcomes by team name. There is no final exam, but expectations for what was developed should be very clear from the weekly meetings.
Grading Policy
The relative contributions to your grade will be:- 75% - The code you contribute to the open source
project you are working for.
Our goal is to provide a real-world learning experience, so we will try to grade you like a manager would. Your code will be graded based upon:- Whether it meets the functional expectations you have set in weekly meetings and planning documents
- Its robustness, and your responsiveness to any bug tickets filed about your code
- The code quality, design, and project management skills you have demonstrated
- 15% - Class participation and activities.
- 10% - Group participation.
Attendance and participation in your project group.
For any non-group work, each student has a total of 5 slack days to use throughout the semester. In unusual or emergency circumstances, contact a member of the teaching team to discuss an extension, which we will provide if appropriate.
Group projects cannot be turned in late under any circumstances. If you experience problems in your team, either due to team dynamics, absences, or any reason, contact the teaching team for advice on how to proceed.
In line with the Departmental Guidelines Relating to Academic Honesty, here are our expectations regarding collaboration and sharing. This class involves almost exclusively group work.  Any material or code taken from external sources should be properly attributed. (If a block of code is borrowed from Stack Overflow, for example, full attribution with a back-link should be made in the code comments.)
While the projects are a fully collaborative effort, we expect each member of the team to participate in every phase of development, and we will expect to see code authorship in particular attributed to the different team members. We will use the commit logs in the version control method of your choice as a primary guide to measure code contribution.
Except in the context of a project team, you may not reuse any materials that were developed by other students in the course, in this term or previous terms, nor may you provide work for other students to copy. Copying work, or knowingly making work available for copying, is a serious offense that may result in reduced grades, failing the course, and disciplinary action.
Credit
This class provides 12 credits and 12 Engineering Design Points. It counts as a lab for EECS.


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Solution goes here
As the \(\mu\) given for steel is 0.75, substituting that value into the equation gives a maximum angle \(\theta\) = 36.9\(\circ\).


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Incident ID: #100897
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Week 5
> In week 5 of Digital Engineering we used Fusion 360 to model a drip
irrigation that could be used to water plants with a common water bottle. My partner and I took
measurements of the water bottle and used those to base our 3D model on in Fusion 360. We made
multiple versions before creating one that (mostly) works. This week, we also had to think of and
create an object that could be made additively but not subtractively. I created a hollow object
with a cube on the inside.
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Ordered homogeneity pursuit lasso (OHPL) algorithm for group variable selection proposed in Lin et al. (2017) <doi:10.1016/j.chemolab.2017.07.004>. The OHPL method exploits the homogeneity structure in high-dimensional data and enjoys the grouping effect to select groups of important variables automatically. This feature makes it particularly useful for high-dimensional datasets with strongly correlated variables, such as spectroscopic data.
| Version: | 1.3 |
| Depends: | R (≥ 3.0.2) |
| Imports: | glmnet, pls, mvtnorm |
| Published: | 2017-08-08 |
| Author: | You-Wu Lin [aut], Nan Xiao [cre] |
| Maintainer: | Nan Xiao <me at nanx.me> |
| BugReports: | https://github.com/road2stat/OHPL/issues |
| License: | GPL-3 | file LICENSE |
| URL: | https://ohpl.io, https://github.com/road2stat/OHPL |
| NeedsCompilation: | no |
| Citation: | OHPL citation info |
| Materials: | README NEWS |
| CRAN checks: | OHPL results |
| Reference manual: | OHPL.pdf |
| Package source: | OHPL_1.3.tar.gz |
| Windows binaries: | r-devel: OHPL_1.3.zip, r-release: OHPL_1.3.zip, r-oldrel: OHPL_1.3.zip |
| OS X binaries: | r-release: OHPL_1.3.tgz, r-oldrel: OHPL_1.3.tgz |
| Old sources: | OHPL archive |
Please use the canonical form https://CRAN.R-project.org/package=OHPL to link to this page.


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jenkins-tables.png (image/png)
jenkins-graphs.png (image/png)
jenkins-tables.png (image/png)


Contract Repository is the repository that holds a series of contracts. As we mentioned before, a contract is defined by a option contract class in ACF. So the contract repository will hold a series of contract classes that derive from the OptionContractBase class and have the specific signature.
From a developer's point of view, a contract repository is a .NET assembly that holds the contract classes. ACF allows you to add multiple repositories (assemblies) for a console application simply by using the application configuration, which means, you can customize the command line syntax without any change of the source code. What you want to do is: configure!
As we can see in the figure above, a console application holds the reference to the contract repository, which is defined in the application configuration file. We can add or remove the contract repositories in the configuration, this will add or remove a series of contracts in the application.
Suppose we have already deployed a console application to our customers, several weeks later we want to provide another functionailty (command line syntax) to the console application. What we want to do is, create a new contract repository (.NET assembly), add the option contract class into the repository, compile, and then make a little change to the configuration file, you will find that your console application now supports new command line syntaxes, cool!


RUSH HOUR (1998) A Film Review by Ted Prigge Copyright 1998 Ted Prigge
Director: Brett Ratner Writers: Jim Kouf and Ross LaManna (story by LaManna) Starring: Jackie Chan, Chris Tucker, Tom Wilkinson, Elizabeth Peņa, Mark Rolston, Tzi Ma, Rex Linn, Ken Leung, Julia Hsu, Chris Penn, Philip Baker Hall
The buddy pic is easily one of the most tiresome and overused formulas for a film we've ever had, but for some reason, the Hollywood machine pumps a couple out every year, munundating all of us with half-assed storylines, and mispaired pairs that make for a really unenjoyable movie. In theory, then, "Rush Hour" should be no exception. Chris Tucker is still a bit iffy, with his helium-affected motor mouth being occasionally amusing, but never rather funny (do any of you remember how the film stopped when he came on screen in "The Fifth Element?"). And Jackie Chan's one of the world's greatest entertainers, a dare devil comic action hero with the best coordination and control over all bodily movements I've ever seen. The pairing of these two just shouldn't work out, and it should have been forgettable.
Well, yes, it's rather forgettable, but that doesn't mean it's not actually charming when watching it. "Rush Hour" is not a great buddy pic like, say, "Lethal Weapon," and in about a year, everyone will be wondering what all the fuss was about. In short, this is no classic, and I doubt there'll be a successful franchise. But not every buddy pic, or any film for that matter, has to do that. Some can be just entertaining, and for an hour and a half, it is. If it's content to be just good, then there's nothing really wrong with that.
"Rush Hour" takes advantage of the Hong Kong transfer of power in '97, as a couple films this year have ("Chinese Box" and, most recently and most appallingly, "Knock Off"), and uses the arrival of the Chinese Consul in L.A. (Tzi Ma) to bring about an elaborate kidnapping scheme by an underground villain, dubbed JunTao. The FBI wants to help out, but so do the LAPD, but the Consul wants to hire an old friend of his, Inspector Lee (Chan), to come in. He does, but the LAPD gives him over to their most troublesome detective, James Carter (Tucker), a reckless, goofy, but driven detective who doesn't like for one second that he's been saddled with Lee.
"Rush Hour" wastes no time in utilizing the old cliches, including the beloved first meeting where they hate eachother, but slowly growing to respect their own traits and rub off on one another. In one scene, they go into a pool hall for some information, and after an admittingly funny faux pas, Chan is found fighting the inhabitants of the ghetto hall, much to the distaste of Tucker, but they gradually like eachother, bringing about the scene where they swap personal likes and dislikes.
Oh, and the plot still has to be resolved, but you know it'll be handled without the least bit of care. You can guess who JunTao is fairly early on (hint: he's British, therefore he's evil), and the scenes involving the kidnapping instead come off as comic action sequences without a ton of suspense, but a lot of joking around.  And so forth.
What's surprising is that though this should be crap, and perhaps it is, it doesn't come off that way. The reason is because of Chan and Tucker. Their chemistry is extremely good, and they work well together while still retaining each of their own respective individual traits (even Tucker comes off as charmingly humorous). Many buddy pics forget about chemistry, but this is essential to creating a film that is entertaining and engrossing, both which "Rush Hour" is, and why so many people are actually enjoying it. It's not because of the plot, which is so arbitrary it's a wonder actors like Tom Wilkinson, Elizabeth Peņa, and Philip Baker Hall would sign on for any other reason than an easy pay check.
But Chan and Tucker aren't the only reason this is likable. It has a light feel to it that makes it easier to intake, and allows goodness to seep in not just from Chan and Tucker, but also from other members of the cast and other assortment facets of the film. Although cliched and not terribly suspenseful, the action sequences are surprisingly adept and supply entertainment. I liked some of those added nuances, like the handling of the kidnapped daughter as a real form of personality (when saved by Chan, she kicks him for not saving her earlier). And Wilkinson, a great actor who's been in everything these days (notably "The Full Monty," in which he was brilliant), has an icy dignity he brings to the role of the villain, as if he's being a good sport about being in his first big American movie ("I know I'm doing this mostly for money and exposure, but what the hell - I'll have some real fun with this role.").
But when you really come down to it, it's mostly the buddy chemistry that keeps this afloat. It lives and dies with the casting of the leads, and luckily Chan and Tucker are so amiable apart and together that the film is a slight success. It's not incredibly ambitious, but for awhile, it's mildly distracting, which is more than you can say for a lot of the films Hollywood is putting out these days, I suppose.
MY RATING (out of 4): ***
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24 killed in a landslide in Kenya
At least 24 people have been reported dead due to a landslide in eastern Kenya. The residents in West pokot were swept way by the landslide following heavy rains Friday evening in the region.
West Pokot County Commissioner Apollo Okello said 12 bodies, including seven children, have been recovered so far and that search efforts are continuing, reports The Daily Nation
Rescue operations have been halted because most bridges have been swept and it is still raining heavily according to West Pokot County Commissioner Apollo Okello. Adding that, many people could be trapped in in Pokot South and Pokot Central says The standard
“Seven people of the same family were buried alive in Nyarkulian area, Pokot South and 24 were buried alive in Muino area, Pokot Central sub county,” said Okello.
Picture courtesy


How did the 'process over product' concept affect the way you tackled the site redesign and rebuild.
Caught myself wanting to make it better looking in the short-term to feel like I had accomplished something.
Caught myself wanting to make it better looking in the short-term to feel like I had accomplished something.
Meditation has sort of always been part of my daily activity to regroup and get back on track, but never knew that the benefits would be that obvious.
What stood out the most was the fact that a medical condition could be affected in a positive way and actually speed up the recovery process.
Not really, but it may be worth training them all to see which ones gets the most benefit.
The best part about meditation is you can start out pretty much anywhere, start with little time and possible reap the benefits of such a small effort.


toUpperCase()
or toLowerCase()
calls on String
objects that do not specify a
java.util.Locale
. In these cases the default system locale is used, which can cause problems in an internationalized
environment.
For example the code "i".toUpperCase().equals("I")
returns false
in the Turkish and Azerbaijani locales, where
the dotted and dotless 'i' are separate letters. Calling toUpperCase()
on an English string containing an 'i', when running
in a Turkish locale, will return incorrect results. Alternatively, when dealing with strings that should be treated as locale-independent,
like HTML tags, this can lead to errors.


Enactus JMI strives towards the fulfillment of the core agenda of Enactus to spread a positive impact for societal betterment by creating entrepreneurial opportunities for the economically backward target communities.
The world is in greater need of charity than ever before. The gap between the rich and the poor is widening. Every person can do his own bit and it would make some difference to another person's life. So lets try and fill it.
Helping our fellow beings is one of the most noble tasks that a man can do in his life so Let's work together, we together can bring a larger impact.


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