classdef ExperimentClient % Experiment Client Class % % This object defines a Thor experiment within the Python environment. % In particular, an experiment is defined by its name, the date at % which it was created, and the dimensions of the machine learning % model. Moreover, an authentication token is required for requesting % new parameter configurations, for submitting observations of % parameters, for viewing pending parameter configurations and for % obtaining the best configuration of parameters that has been % evaluated so far. % % % Parameters: % identifier (int): A unique identifier that indicates which experiment % on the server-side is being interacted with by the client. % name (str): A name for the machine learning experiment. Consumers % of the Thor service must have unique experiment names, so % make sure all of your experiments are named different things! % date (datetime): The datetime at which the experiment was created % on the server side. % dims (list of structs): A list of structs describing the % parameter space of the optimization problem. Each dimension % is given a name, a maximum value, a minimum value, and a % dimension type that roughly describes how points are spaced. properties experiment_id name date dims auth_token end methods function obj = ExperimentClient(identifier, name, date, dims, ... auth_token) % Initialize parameters of the experiment client object. obj.experiment_id = identifier; obj.name = name; obj.date = date; obj.dims = dims; obj.auth_token = auth_token; end function res = submit_observation(obj, config, target) % Upload a pairing of a configuration alongside an observed % target variable. % % Parameters: % config (struct): A struct mapping dimension names to % values indicating the configuration of parameters. % target (float): A number indicating the performance of % this configuration of model parameters. % Examples: % % This utility is helpful in the event that a machine % learning practitioner already has a few existing % evaluations of the system at given inputs. For instance, % the consumer may have already performed a grid search to % obtain parameter values. Suppose that a particular % experiment has two dimensions named "x" and "y". Then to % upload a configuration to the Thor server, we proceed as % follows: % % >> d = struct('x', 1.5, 'y', 3.1); % >> v = f(d.x, d.y); % >> exp.submit_observation(d, v); json_config = jsonencode(config); options = weboptions('ContentType', 'json', ... 'MediaType', 'application/json', ... 'RequestMethod', 'POST', ... 'Timeout', 180); url = base_url('submit_observation'); data = struct('auth_token', obj.auth_token, ... 'configuration', json_config, ... 'target', target, ... 'experiment_id', obj.experiment_id); res = webwrite(url, data, options); end function rec = create_recommendation(obj, rand_prob, n_model_iters) % Create a recommendation for a point to evaluate next. % % The create recommendation utility represents the core of the % Thor Bayesian optimization software. This function will % contact the Thor server and request a new configuration of % machine learning parameters that serve the object of % maximizing the metric of interest. % % Parameters: % rand_prob (optional, float): This parameter represents % that a random point in the input space is chosen % instead of selecting a configuration of parameters % using Bayesian optimization. As such, this parameter % can be used to benchmark against random search and % otherwise to perform pure exploration of the % parameter space. % n_model_iters (optional, int): This parameter determines the number % of maximum likelihood random restarts are used to % isolate the maximum of the Gaussian process % likelihood with respect to the kernel parameters. % Setting this to a large value will generally provide % better probabilistic interpolants of the metric as a % function of the model parameters. In large-scale % problems, this parameter instead controls the number % of training iterations used to fit a Bayesian neural % network. In particular, 1,000 times this parameter % epochs are performed. % % Returns: % RecommendationClient: A recommendation client object % corresponding to the recommended set of parameters. if nargin < 3 % Make the number of model parameters null if it is not % provided. n_model_iters = string(nan); end if nargin < 2 % Make the probability of randomly choosing a configuration % to evaluate null if it is not provided. rand_prob = string(nan); end options = weboptions('ContentType', 'json', ... 'MediaType', 'application/json', ... 'RequestMethod', 'POST', ... 'Timeout', 180); url = base_url('create_recommendation'); data = struct('auth_token', obj.auth_token, ... 'experiment_id', obj.experiment_id, ... 'rand_prob', rand_prob, ... 'n_model_iters', n_model_iters); res = webwrite(url, data, options); rec = RecommendationClient(res.id, jsondecode(res.config), ... obj.auth_token); end function res = best_configuration(obj) % Get the configuration of parameters that produced the best % value of the object function. % % Returns: % struct: A struct containing a detailed view of the % configuration of model parameters that produced the % maximal value of the metric. This includes the date % the observation was created, the value of the metric, % and the configuration itself. options = weboptions('ContentType', 'json', ... 'MediaType', 'application/json', ... 'RequestMethod', 'POST', ... 'Timeout', 180); url = base_url('best_configuration'); data = struct('auth_token', obj.auth_token, ... 'experiment_id', obj.experiment_id); res = webwrite(url, data, options); end function pending = pending_recommendations(obj) % Query for pending recommendations that have yet to be % evaluated. % % Sometimes client-side computations may fail for a given input % configuration of model parameters, leaving the recommendation % in a kind of "limbo" state in which is not being evaluated % but still exists. In this case, it can be advantageous for % the client to query for such pending observations and to % evaluate them. This function returns a list of pending % recommendations which can then be evaluated by the client. % % Returns: % list of RecommendationClient: A list of recommendation % client objects, where each element in the list % corresponds to a pending observation. options = weboptions('ContentType', 'json', ... 'MediaType', 'application/json', ... 'RequestMethod', 'POST', ... 'Timeout', 180); url = base_url('pending_recommendations'); data = struct('auth_token', obj.auth_token, ... 'experiment_id', obj.experiment_id); res = webwrite(url, data, options); n_pending = length(res); pending = cell(n_pending, 1); for i = 1:n_pending pending{i} = RecommendationClient(res(i).id, ... jsondecode(res(i).config), ... obj.auth_token); end end end end


Police department getting dozens of new bulletproof vests
by EndPlayHOLYOKE, Mass. (AP) - A Massachusetts police department is getting dozens of new bulletproof vests for its officers thanks to a federal grant.
The Holyoke City Council unanimously accepted the nearly $30,000 Bureau of Justice Assistance grant and approved spending about the same amount from the police department's reserve funds to cover half the cost of buying 47 new vests.
The custom-fitted vests cost about $1,200 each.
The department's current equipment is either nearing or has passed its effective lifespan.
No councilors spoke against the purchase, but some questioned where in the budget the money was coming from. Councilor David Bartley called the vests a "noble cause" but said he was "mystified" that the money was being transferred from the department's reserve cash and not from an equipment line item.


Actions, Resources, and Condition Keys for AWS CloudFormation
AWS CloudFormation (service prefix: cloudformation
) provides the following service-specific resources, actions, and condition context
keys for use in IAM permission policies.
References:
-
Learn how to configure this service.
-
View a list of the API operations available for this service.
-
Learn how to secure this service and its resources by using IAM permission policies.
Topics
Actions Defined by AWS CloudFormation
You can specify the following actions in the Action
element of an IAM policy statement. Use policies to grant permissions to perform
an operation in AWS. When you use an action in a policy, you usually allow or
deny access to the API operation or CLI command with the same name. However,
in some cases, a single action controls access to more than one operation. Alternatively,
some operations require several different actions.
The Resource column indicates whether each action supports resource-level permissions. If
there is no value for this column, you must specify all resources ("*") in the
Resource
element of your policy statement. If the column includes a resource type, then
you can specify an ARN of that type in a statement with that action. Required
resources are indicated in the table with an asterisk (*). If you specify a resource-level
permission ARN in a statement using this action, then it must be of this type.
Some actions support multiple resource types. If the resource type is optional (not
indicated as required), then you can choose to use one but not the other.
For details about the columns in the following table, see The Actions Table.
| Actions | Description | Access Level | Resource Types (*required) | Condition Keys | Dependent Actions |
|---|---|---|---|---|---|
| CancelUpdateStack | Cancels an update on the specified stack. | Write | |||
| ContinueUpdateRollback | For a specified stack that is in the UPDATE_ROLLBACK_FAILED state, continues rolling it back to the UPDATE_ROLLBACK_COMPLETE state. | Write | |||
| CreateChangeSet | Creates a list of changes for a stack. | Write | |||
| CreateStack | Creates a stack as specified in the template. | Write | |||
| CreateStackInstances | Creates stack instances for the specified accounts, within the specified regions. | Write | |||
| CreateStackSet | Creates a stackset as specified in the template. | Write | |||
| CreateUploadBucket [permission only] | Write | ||||
| DeleteChangeSet | Deletes the specified change set. Deleting change sets ensures that no one executes the wrong change set. | Write | |||
| DeleteStack | Deletes a specified stack. | Write | |||
| DeleteStackInstances | Deletes stack instances for the specified accounts, in the specified regions. | Write | |||
| DeleteStackSet | Deletes a specified stackset. | Write | |||
| DescribeAccountLimits | Retrieves your account's AWS CloudFormation limits. | Read | |||
| DescribeChangeSet | Returns the description for the specified change set. | Read | |||
| DescribeStackDriftDetectionStatus | Returns information about a stack drift detection operation. | Read | |||
| DescribeStackEvents | Returns all stack related events for a specified stack. | Read | |||
| DescribeStackInstance | Returns the stack instance that's associated with the specified stack set, AWS account, and region. | Read | |||
| DescribeStackResource | Returns a description of the specified resource in the specified stack. | Read | |||
| DescribeStackResourceDrifts | Returns drift information for the resources that have been checked for drift in the specified stack. | Read | |||
| DescribeStackResources | Returns AWS resource descriptions for running and deleted stacks. | Read | |||
| DescribeStackSet | Returns the description of the specified stack set. | Read | |||
| DescribeStackSetOperation | Returns the description of the specified stack set operation. | Read | |||
| DescribeStacks | Returns the description for the specified stack. | List | |||
| DetectStackDrift | Detects whether a stack's actual configuration differs, or has drifted, from it's expected configuration, as defined in the stack template and any values specified as template parameters. | Read | |||
| DetectStackResourceDrift | Returns information about whether a resource's actual configuration differs, or has drifted, from it's expected configuration, as defined in the stack template and any values specified as template parameters. | Read | |||
| EstimateTemplateCost | Returns the estimated monthly cost of a template. | Read | |||
| ExecuteChangeSet | Updates a stack using the input information that was provided when the specified change set was created. | Write | |||
| GetStackPolicy | Returns the stack policy for a specified stack. | Read | |||
| GetTemplate | Returns the template body for a specified stack. | Read | |||
| GetTemplateSummary | Returns information about a new or existing template. | Read | |||
| ListChangeSets | Returns the ID and status of each active change set for a stack. For example, AWS CloudFormation lists change sets that are in the CREATE_IN_PROGRESS or CREATE_PENDING state. | List | |||
| ListExports | Lists all exported output values in the account and region in which you call this action. | List | |||
| ListImports | Lists all stacks that are importing an exported output value. | List | |||
| ListStackInstances | Returns summary information about stack instances that are associated with the specified stack set. | List | |||
| ListStackResources | Returns descriptions of all resources of the specified stack. | List | |||
| ListStackSetOperationResults | Returns summary information about the results of a stack set operation. | List | |||
| ListStackSetOperations | Returns summary information about operations performed on a stack set. | List | |||
| ListStackSets | Returns summary information about stack sets that are associated with the user. | List | |||
| ListStacks | Returns the summary information for stacks whose status matches the specified StackStatusFilter. | List | |||
| SetStackPolicy | Sets a stack policy for a specified stack. | Permissions management | |||
| SignalResource | Sends a signal to the specified resource with a success or failure status. | Write | |||
| StopStackSetOperation | Stops an in-progress operation on a stack set and its associated stack instances. | Write | |||
| TagResource | Tagging cloudformation resources. | Tagging | |||
| UntagResource | Untagging cloudformation resources. | Tagging | |||
| UpdateStack | Updates a stack as specified in the template. | Write | |||
| UpdateStackInstances | Updates the parameter values for stack instances for the specified accounts, within the specified regions. | Write | |||
| UpdateStackSet | Updates a stackset as specified in the template. | Write | |||
| UpdateTerminationProtection | Updates termination protection for the specified stack. | Write | |||
| ValidateTemplate | Validates a specified template. | Write |
Resources Defined by AWS CloudFormation
The following resource types are defined by this service and can be used in the
Resource
element of IAM permission policy statements. Each action in the Actions table identifies the resource types that can be specified with that action. A resource
type can also define which condition keys you can include in a policy. These
keys are displayed in the last column of the table. For details about the columns
in the following table, see The Resource Types Table.
| Resource Types | ARN | Condition Keys |
|---|---|---|
| stack |
arn:${Partition}:cloudformation:${Region}:${Account}:stack/${StackName}/${Id}
|
|
| stackset |
arn:${Partition}:cloudformation:${Region}:${Account}:stackset/${StackSetName}:${Id}
|
|
| changeset |
arn:${Partition}:cloudformation:${Region}:${Account}:changeSet/${ChangeSetName}:${Id}
|
Condition Keys for AWS CloudFormation
AWS CloudFormation defines the following condition keys that can be used in the
Condition
element of an IAM policy. You can use these keys to further refine the conditions
under which the policy statement applies. For details about the columns in the
following table, see The Condition Keys Table.
To view the global condition keys that are available to all services, see Available Global Condition Keys in the IAM Policy Reference.
| Condition Keys | Description | Type |
|---|---|---|
| aws:RequestTag/${TagKey} | String | |
| aws:ResourceTag/${TagKey} | String | |
| aws:TagKeys | String | |
| cloudformation:ChangeSetName | An AWS CloudFormation change set name. Use to control which change sets IAM users can execute or delete. | String |
| cloudformation:ResourceTypes | The template resource types, such as AWS::EC2::Instance. Use to control which resource types IAM users can work with when they create or update a stack | String |
| cloudformation:RoleArn | The ARN of an IAM service role. Use to control which service role IAM users can use to work with stacks or change sets. | ARN |
| cloudformation:StackPolicyUrl | An Amazon S3 stack policy URL. Use to control which stack policies IAM users can associate with a stack during a create or update stack action. | String |
| cloudformation:TemplateUrl | An Amazon S3 template URL. Use to control which templates IAM users can use when they create or update stacks. | String |


com.pump.geom.StarPolygon
is a simple implementation of a star with variable end points and two radii. The first radius always points directly up, so every star is horizontally symmetrical.
You can specify the radii and the center point, but you can't directly set its bounds.
There is a special constructor to create a traditional 5-point star.


Landmark Living on The Avenue - Blending Relaxation & Sophistication to Create the Ideal Place for living
Find Out MoreAdding a playground to an existing or new apartment complex provides numerous benefits. Not only does an apartment complex playground provide an outdoor gathering place for your residents, it also enhances the sense of community as well as the desirability of your property..
The development has a gym that is for the use for all residents. Maintaining apartment gymnasiums and club house becomes an aspect of utmost importance
Indoor games can be one of the best ways to keep seniors,children etc... mind healthy and active. It offers a lot more than just entertainment.These complexes also provide outdoor sports to be played along with indoors. Many sports are being played such as soccer, baseball, football, shooting softball, and many others.
wanna experience the BMS lifestyle? That's great! Give us a call or send us an email and we will get back to you as soon as possible!
Address: Living Meadows, Plot Nos: 31,32,33,34 Near Sports Village, Gachibowli


thin-polymer
Demo
Demos with Babel transpilation in {{sec}} seconds
Native Demos (Browsers cannot handle some of them)


{%extends "registration/base.html"%} {% load bootstrap4 %} {%block content%}
Already have an account? Login
© 2021


--- layout: post status: publish published: true title: Bad Weather! author: Leask author_login: leask author_email<EMAIL_ADDRESS>author_url: https://leaskh.com wordpress_id: 98 wordpress_url: http://leaskh.wordpress.com/2009/06/16/bad-weather date: '2009-06-16 06:37:18 +0800' date_gmt: '2009-06-16 06:37:18 +0800' categories: - Life tags: [] comments: [] ---


RNA cells infected PDCoV OpenUrl viral replication membrane time detected virus LLC-PK zippered DMVs indicated synthesis CrossRef puncta spherules double dsRNA mock small using hpi hpi. number Abstract FREE ROs Text hpi, cell coronavirus deltacoronavirus fixed membranes Figure vesicles Virol, characterization infection porcine regions Cells associated points, BrU new observed protein independent van Lee, TCID Wang, cells. coronaviruses culture electron identified Chen, OH-FD Porcine black clusters formation increased incubated induced labelled points post presence However, Therefore, different harvested including increase pigs progeny signal sites standard synthesis, Li, Replication Sawicki, Science Web Zhang, appeared blocking cellular cytoplasmic determined glutaraldehyde individual infected. minutes onset plates prior representative samples seeded stained structures synthesis. viruses A.M. Deltacoronavirus Dis, Download E.J. Emerg IBV Open PBS Snijder, Virus accumulation actinomycin addition, antibody bar data-hide-link-title=""> data-icon-position="" der endoplasmic figure fixation following gene genus host hours indicate indicates induce large level levels media microscopy. novel particles performed point present processed rearrangements reticulum seen shown. tab units/well). used western Cell Coronavirus DAPI Following Gammacoronavirus Images Mean Nuclei RNA, S.G. Saif, Scale Sun, Ultrastructural Virions Virol., Yang, Zhou, antibodies areas arrows arrows, avian bars brackets. cDNA cells, comparable confirms containing curve cytoplasm. detection deviation dynamics earlier genera infection, infectious nascent numerous paired points. previously release replicates role scale severe single specific spherules. stated strain total white


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Varun Engineering Work
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An ISO 2000:2022 certified company
Suitable for threading of pipe thread BSPT & NPT thread on request. It is used under difficult situation e.g. Corners, Celling, Trench etc. Simple and safe operation.  No adjustment. A handy clamping device. A compact and light weight body packed in PVC blow box & size available upto 2".
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Prod. No. |
Size/Capacity Inches |
Voltage |
Power |
Speed rpm |
Dies Including Inches |
Portable PVC Box CM |
G.Wt (Kgs.)
|
|
155A |
1/2-1 |
230/V/50 Hz |
1050 W |
32 |
½, ¾, 1 |
60x20x9 |
12.8 |
|
155B |
1/2-1/4* |
230/V/50 Hz |
1050W |
32 |
½, ¾, 1, 1¼ |
60x20x9 |
14.0 |
|
155C |
3/8-1¼ |
230/V/50 Hz |
1050W |
32 |
3/8, ½, ¾, 1, 1¼ |
60x20x9 |
14.8 |
|
155D |
¼-1¼ |
230/V/50 Hz |
1050W |
32 |
¼, 3/8, ½, ¾, 1, 1¼ |
60x20x9 |
15.5 |
|
155E |
½-2 |
230/V/50 Hz |
1050W |
32 |
½, ¾, 1, 1¼, 1½, 2 |
90x45x15 |
22.5 |
Tel. :-<PHONE_NUMBER>1,
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Welcome to Black Biz!
All black owned businesses can be found here. This is your small business advantage.
Site Wide Sale Deals at IamPryceless & Company: Click here to view website with more deals!
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Our goals
- We have three goals to suceed.
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- Add something
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EBD - Easton Bible DIctionary
Gareb
GAREB
"GAREB "scabby; itch. (1.) One of David’s warriors (
2 Samuel 23:38
), an Ithrite.
(2.) A hill near Jerusalem (
Jeremiah 31:39
), probably the hill of lepers, and consequently a place outside the boundary of the city.
"GAREB "scabby; itch. (1.) One of David’s warriors (2 Samuel 23:38), an Ithrite.
(2.) A hill near Jerusalem (Jeremiah 31:39), probably the hill of lepers, and consequently a place outside the boundary of the city.


This was my first truely programming experience that I had. I was a freshmen in high school at the time, and my friends said that I should try it. Even though I was the best student in the class, I ended up disliking java and programming in general.
HackBCA was my first hackathon that I attended. The last time I programmed before this was a year before, and I forgot everything. However, my friend told me to go two days before the hackathon, and I registered the day after. I was unsure if I should go since I didn't know how to code, and I wouldn't get any sleep. But my parents encouraged me to go. I formed a team with some of my friends, and we created a 3-D molecule creater. It didn't turn out as well as we expected, but I still enjoyed my first hackathon. HackBCA inspired me to program.
I am responsible for designing and marketing our Spring and Winter Collections, incorporating different ideas and themes, unifying them under Asterisk's brand image. I direct photoshoots and lead development of the company's online presence. I work closely with our production team and suppliers to ensure deadlines and quality standards are met. I also maintain a good working relationship with all of our retail stores and help create in-store campaigns. I also maintain a good working relationship with all of our retail stores and help create in-store campaigns.
I worked closely with volunteers to produce a monthly magazine and to meet tight deadlines while working within a very limited budget. I was responsible for designing the magazine and working with our print vendors in addition to leading the editorial board and maintaining the community's excitement about the magazine. I also built Comp Voice's web presence and a WordPress back article submission and review system.
As the youngest Lead Developer at OnTheMouse, I was responsible for leading our development team to meet strict deadlines while maintaining a high level of quality. I worked closely with the design team to ensure that our teams co-ordinated our efforts in the most efficient manner possible. I led development on over 5 major web and identity projects and worked on dozens of smaller projects.


Raindrops on roses and whiskers on s
Bright copper kettles and warm woolen s
Brown paper packages tied up with strings
These are a few of my favorite things
Cream colored ponies and crisp apple
Doorbells and sleigh bells and schnitzel with s
Wild geese that fly with the moon on their wings
These are a few of my favorite things
Girls in s with blue satin sashes
Snowflakes that stay on my and eyelashes
Silver white winters that melt into springs
These are a few of my favorite things
When the bites
When the bee s
When I'm feeling sad
I simply remember my favorite things
And then I don't feel so bad


[gecode-users] regular constraint
夏维
skymaormaor at hotmail.com
Tue Jun 5 09:55:15 CEST 2012
Thanks for your reply, but what is the "optimizations" in the implementation, part of code in the file "layered-graph.hpp" ?
Could you help to point out which part in the code that leads NFA not work?
XW.
From: cschulte at kth.se
To: skymaormaor at hotmail.com; users at gecode.org
Subject: RE: [gecode-users] regular constraint
Date: Mon, 4 Jun 2012 10:06:22 +0200
The implementation uses optimizations that only work for DFAs.  Christian --Christian Schulte, www.ict.kth.se/~cschulte/ From: users-bounces at gecode.org [mailto:users-bounces at gecode.org] On Behalf Of ??
Sent: Monday, June 04, 2012 8:53 AM
To: users at gecode.org
Subject: [gecode-users] regular constraint Hello,
I got a problem about extensional(regular) constraint. The question is whether the input of a regular constraint can be a NFA.
In the detailed description file of DFA ( http://www.gecode.org/doc-latest/reference/classGecode_1_1DFA.html ), it is said that "the transitions must be deterministic." Is is true? I applied regular constraint on some NFA constraint, it seems to be able to give the correct result.
Thank a lot!
XW.
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|
cluster.order()
|
order cluster by increasing wage |
|
dstats()
|
provides statistics |
|
em.control()
|
Create a control structure for running EM algorithms |
|
estimation.threeSided.model()
|
Mixture model estimation of three sided model |
|
get.largest.conset.fid()
|
some work on trace formula
Extracts the largest connected set from data using f1,f2
movers |
|
get.largest.leaveoutset.fid()
|
Extracts the largest leave-out connected set from data using f1,f2
movers |
|
get.sample.stats()
|
computes simple statistics |
|
grouping.append()
|
Append result of a grouping to a data-set |
|
grouping.classify.once()
|
clusters firms based on their cross-sectional wage distributions |
|
grouping.classify()
|
clusters firms based on their cross-sectional wage distributions |
|
grouping.computeobj()
|
Compute the objective function of the clustering |
|
grouping.getMeasures.em()
|
Get the three sided measures for inputs in clustering |
|
grouping.getMeasures()
|
Extract the measurement matrix to be given to the
classification algorithm |
|
grouping.infos()
|
extract information |
|
grouping.makefiner()
|
Gives their won cluster to firm with many movers |
|
jdata.prepare()
|
Prepare the data for BLM from an employer-employee matched data |
|
kmeansW.repeat()
|
internal function that runs Kmean with multiple starting values |
|
lin.proja()
|
Generate a linear projection decomposition for the model
with continuous worker hetergoneity |
|
lin.projax()
|
Computes the linear projection using X |
|
lin.projx()
|
Computes the linear projection using X |
|
lognormpdf()
|
functions for em |
|
logRowSumExp()
|
logsumexp function by Row |
|
logsumexp()
|
logsumexp function |
|
m2.firmfe.pen()
|
Ridge AKM |
|
m2.get.pk_unc()
|
Returns the uconditional type probability in the crossection |
|
m2.mixt.estimate.all()
|
Estimates the static mixture model on 2 periods |
|
m2.mixt.meaneffect()
|
Compute mean effects |
|
m2.mixt.movers()
|
Estimates the static model parameters for movers |
|
m2.mixt.new()
|
create a random model for EM with three sided
endogenous mobility with multinomial pr |
|
m2.mixt.pplot()
|
plots the proportions of a model |
|
m2.mixt.simulate.movers()
|
Using the model, simulates a dataset of movers |
|
m2.mixt.simulate.sim.clust()
|
Simulates data (movers and stayers) |
|
m2.mixt.simulate.sim()
|
Simulates data (movers and stayers) and attached firms ids. Firms have all same expected size. |
|
m2.mixt.simulate.stayers()
|
Using the model, simulates a dataset of stayers. |
|
m2.mixt.simulate.stayers.withx()
|
Using the model, simulates a dataset of stayers. |
|
m2.mixt.stayers()
|
use the marginal distributions to extract type distributions
within each cluster and observable characteristics |
|
m2.mixt.transform.data()
|
Data tranformation ( 3d array to 2d array) |
|
m2.mixt.transform.model()
|
Model transformation for solver (3d array object to 2d array objects)
used in multicore effitiency |
|
m2.mixt.vdec()
|
Computes the variance decomposition by simulation |
|
m2.mixt.wplot()
|
plots the wages of a model |
|
m2.movers.checkfit()
|
check the fit in the movers/stayers using imputed data |
|
m2.stayers.checkfit()
|
check the fit in the movers/stayers using imputed data |
|
m2.trace.estimate()
|
gets the connected set, then |
|
m2.trace.new()
|
create a model for testing trace estimation |
|
m2.trace.simulate.old()
|
simulates for trace estimation |
|
m2.trace.simulate()
|
simulates for trace estimation |
|
mcast()
|
creates a matrix and fill it using a data.table
in contrast to acast, it creates all rows and cols (even if there is not data) |
|
model(<connectiveness>)
|
Computes graph connectedness among the movers
within each type and returns the smalless value |
|
ModelInitializer()
|
Prepare the finction for test run
intialize the model parameters (helper function) |
|
plot(<trquant>)
|
plots the conditional quantile distribution for each transitions (l,l') |
|
plot(<vaeffect>)
|
we want to look at the effect of
movers on value added. |
|
plot(<wage>)
|
plot the mean wage at origin conditional on where it is coming from |
|
sample.stats()
|
compute some stats on data |
|
sColSums()
|
Sparse colSums |
|
set.solver.controls()
|
Set the solver controls |
|
Simulate.data.threeSided()
|
Simulate the data consiting of three sided heterogeniety |
|
spread()
|
this is a utility function to generate
multidimensional arrays - like the spread function in fortran |
|
sRowSums()
|
Sparse rowSums |
|
threeSided.Clustering()
|
Clustering (Step 1 of the estimation: Seep paper for details) |
|
threeSided.means.plot()
|
Estimated means plot |
|
threeSided.proportion.plot()
|
Proportion plot |
|
vcast()
|
creates a vector and fill it using a data.table
in contrast to acast, it creates all elements |
|
wt.cov()
|
Weighted covariance |


Bella Hadid Opens Up About Battle With Depression: ‘I Would Cry Every Single Morning’
by Becca LongmireBella Hadid opened up about her mental health battle and the pressures of being a runway model as she spoke at the Vogue Fashion Festival in Paris Friday.
Hadid said there were times when she’d “cry every single morning” just as her career really started to take off.
She explained, according to WWD: “For a while I just didn’t want to talk about it, and I’ve gone through a lot in the past few years with my health. I feel guilty for being able to live this incredible life, have the opportunities that I do, but somehow still be depressed.  I was very emotionally unstable for a while when I was working 14-hour days for four months straight as an 18-year-old. I think I just wanted to breathe a little bit. And so it kind of put me in a spiral.”
Hadid, who has walked the Victoria’s Secret show a few times, also said the first time she actually felt comfortable modelling lingerie was during Rihanna’s Savage x Fenty show in September.
Hadid, who donned a bright yellow underwear set for the show, shared: “Rihanna’s amazing. For me, that was the first time on a runway that I felt really sexy. Because when I first did Fenty, I was doing other lingerie shows and I never felt powerful on a runway, like, in my underwear.”
“I like being another character. I think at this point I don’t necessarily love being myself sometimes. Sometimes on the runway you get either nervous or you forget how your legs move.”


This is a very cool page HTML.
If you click here you will have a surprise.
Look at this cute Walrus! Click here to hide it again.
To learn more about the Walrus you can Click here!
To see another picture, Click here !
Don't like this picture? Click here to hide it.


Module: ActiveModel::Dirty
| Extended by: | ActiveSupport::Concern |
| Includes: | AttributeMethods |
| Included in: | ActiveRecord::AttributeMethods::Dirty |
| Defined in: |
Overview
Active Model Dirty
Provides a way to track changes in your object in the same way as Active Record does.
The requirements for implementing Dirty are:
-
include ActiveModel::Dirty
in your object. -
Call
define_attribute_methods
passing each method you want to track. -
Call
attr_name_will_change!
before each change to the tracked attribute. -
Call
changes_applied
after the changes are persisted. -
Call
clear_changes_information
when you want to reset the changes information. -
Call
restore_attributes
when you want to restore previous data.
A minimal implementation could be:
class Person
include ActiveModel::Dirty
define_attribute_methods :name
def initialize(name)
@name = name
end
def name
@name
end
def name=(val)
name_will_change! unless val == @name
@name = val
end
def save
# do persistence work
changes_applied
end
def reload!
# get the values from the persistence layer
clear_changes_information
end
def rollback!
restore_attributes
end
end
A newly instantiated Person
object is unchanged:
person = Person.new("Uncle Bob")
person.changed? # => false
Change the name:
person.name = 'Bob'
person.changed? # => true
person.name_changed? # => true
person.name_changed?(from: "Uncle Bob", to: "Bob") # => true
person.name_was # => "Uncle Bob"
person.name_change # => ["Uncle Bob", "Bob"]
person.name = 'Bill'
person.name_change # => ["Uncle Bob", "Bill"]
Save the changes:
person.save
person.changed? # => false
person.name_changed? # => false
Reset the changes:
person.previous_changes # => {"name" => ["Uncle Bob", "Bill"]}
person.reload!
person.previous_changes # => {}
Rollback the changes:
person.name = "Uncle Bob"
person.rollback!
person.name # => "Bill"
person.name_changed? # => false
Assigning the same value leaves the attribute unchanged:
person.name = 'Bill'
person.name_changed? # => false
person.name_change # => nil
Which attributes have changed?
person.name = 'Bob'
person.changed # => ["name"]
person.changes # => {"name" => ["Bill", "Bob"]}
If an attribute is modified in-place then make use of
[attribute_name]_will_change!
to mark that the attribute is
changing. Otherwise Active Model can't track changes to in-place
attributes. Note that Active Record can detect in-place modifications
automatically. You do not need to call
[attribute_name]_will_change!
on Active Record models.
person.name_will_change!
person.name_change # => ["Bill", "Bill"]
person.name << 'y'
person.name_change # => ["Bill", "Billy"]
Constant Summary
Constants included from AttributeMethods
AttributeMethods::CALL_COMPILABLE_REGEXP, AttributeMethods::NAME_COMPILABLE_REGEXP
Instance Method Summary collapse
-
#attribute_changed?(attr, options = {}) ⇒ Boolean
Handle
*_changed?
formethod_missing
. -
#attribute_was(attr)
Handle
*_was
formethod_missing
. -
#changed
Returns an array with the name of the attributes with unsaved changes.
-
#changed? ⇒ Boolean
Returns
true
if any attribute have unsaved changes,false
otherwise. -
#changed_attributes
(also: #attributes_changed_by_setter)
Returns a hash of the attributes with unsaved changes indicating their original values like
attr => original value
. -
#changes
Returns a hash of changed attributes indicating their original and new values like
attr => [original value, new value]
. -
#previous_changes
Returns a hash of attributes that were changed before the model was saved.
-
#restore_attributes(attributes = changed)
Restore all previous data of the provided attributes.
Methods included from ActiveSupport::Concern
append_features, class_methods, .extended, included
Methods included from AttributeMethods
#attribute_missing, #method_missing, #respond_to?, #respond_to_without_attributes?
Dynamic Method Handling
This class handles dynamic methods through the method_missing method in the class ActiveModel::AttributeMethods
Instance Method Details
#attribute_changed?(attr, options = {}) ⇒ Boolean
Handle *_changed?
for method_missing
.
176 177 178 179 180 181
# File 'activemodel/lib/active_model/dirty.rb', line 176 def attribute_changed?(attr, = {}) #:nodoc: result = changes_include?(attr) result &&= [:to] == __send__(attr) if .key?(:to) result &&= [:from] == changed_attributes[attr] if .key?(:from) result end
#attribute_was(attr)
Handle *_was
for method_missing
.
184 185 186
# File 'activemodel/lib/active_model/dirty.rb', line 184 def attribute_was(attr) # :nodoc: attribute_changed?(attr) ? changed_attributes[attr] : __send__(attr) end
#changed
Returns an array with the name of the attributes with unsaved changes.
person.changed # => []
person.name = 'bob'
person.changed # => ["name"]
141 142 143
# File 'activemodel/lib/active_model/dirty.rb', line 141 def changed changed_attributes.keys end
#changed? ⇒ Boolean
Returns true
if any attribute have unsaved changes,
false
otherwise.
person.changed? # => false
person.name = 'bob'
person.changed? # => true
132 133 134
# File 'activemodel/lib/active_model/dirty.rb', line 132 def changed? changed_attributes.present? end
#changed_attributes Also known as: attributes_changed_by_setter
Returns a hash of the attributes with unsaved changes indicating their
original values like attr => original value
.
person.name # => "bob"
person.name = 'robert'
person.changed_attributes # => {"name" => "bob"}
171 172 173
# File 'activemodel/lib/active_model/dirty.rb', line 171 def changed_attributes @changed_attributes ||= ActiveSupport::HashWithIndifferentAccess.new end
#changes
Returns a hash of changed attributes indicating their original and new
values like attr => [original value, new value]
.
person.changes # => {}
person.name = 'bob'
person.changes # => { "name" => ["bill", "bob"] }
151 152 153
# File 'activemodel/lib/active_model/dirty.rb', line 151 def changes ActiveSupport::HashWithIndifferentAccess[changed.map { |attr| [attr, attribute_change(attr)] }] end
#previous_changes
Returns a hash of attributes that were changed before the model was saved.
person.name # => "bob"
person.name = 'robert'
person.save
person.previous_changes # => {"name" => ["bob", "robert"]}
161 162 163
# File 'activemodel/lib/active_model/dirty.rb', line 161 def previous_changes @previously_changed ||= ActiveSupport::HashWithIndifferentAccess.new end
#restore_attributes(attributes = changed)
Restore all previous data of the provided attributes.
189 190 191
# File 'activemodel/lib/active_model/dirty.rb', line 189 def restore_attributes(attributes = changed) attributes.each { |attr| restore_attribute! attr } end


Class page (server)
Class defined in:core/server/page.js:1
This module deals with how pages are generated, rendered and delivered to the client. Each server controller is expected to use this API (or the res object) to send a response to the client.
async
(
)
core/server/page.js:27
Async page rendering function. It takes a function to run inside an async context and returns a placeholder to be rendered in its placed.
render
(
)
core/server/page.js:144
The main page rendering function. It takes an array of options specifying what to render in the page.


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--- layout: post title: 'IIS: HTTPS aktivieren' categories: - Exchange tags: [] status: publish type: post published: true meta: geo_public: '0' _publicize_pending: '1' _elasticsearch_indexed_on: '2013-07-12 11:24:43' ---


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PingPongDelay::PingPongDelayEditor
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PingPongDelay::PingPongDelayEditor
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PingPongDelay::PingPongDelayUnit
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PingPongDelay::PingPongDelayUnit
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Dash cam shows car flipping over during high-speed chase in Memphis
by Ned DannenbergMEMPHIS, Tenn. (WMC/Gray News) - A year after Memphis Police chased down the man accused of shooting a Fayette County deputy, dramatic dash camera video of the takedown was released.
It was Thanksgiving Day 2018 when investigators say Christopher Lee robbed the Murphy’s Express in Oakland and opened fire on responding deputies.
Deputy Jimmy Pardue was struck but survived his injuries.
Police said Lee then ran to a nearby Texaco station and stole a Mercury Grand Marquis. Memphis officers picked up the pursuit as Lee crossed into the city limits on Highway 64.
The police video shows Lee losing control near Rockcreek Parkway, and the stolen car flipping over before landing in the middle of traffic.
Officers surrounded Lee and took him into custody. He was taken to the hospital but was not seriously injured.
Lee pleaded guilty in Fayette County last summer before the case went to trial.
He was sentenced to26 years for attempted 2nd degree murder, carjacking, aggravated robbery, theft of property and weapons violations, according to District Attorney General Mark Davidson.
Read the original version of this article at wmcactionnews5.com.


Batch
Batch is a RoboFont extension to generate binary fonts in batch.
- supports UFO, OpenType (TTF/CFF) and designSpace files as input
- generates .otf .ttf .pfa .vfb .woff .woff2 .eot .svg & variable fonts
Documentation
Once installed, Batch will add itself to the File menu:
Fonts
Use the Fonts section to choose which fonts to use as input.
Add fonts by dragging files into the list.
The following types of input files are supported:
- UFO fonts
- OpenType fonts (CFF/TTF)
- UFOs folder
- designSpace file
Options
- add open fonts
- Use the toolbar button *Add Open Fonts* to add all open fonts to the list.
- UFOs folder
- If a folder is provided, Batch will search for all UFOs inside it.
- designSpace files
- If a designSpace file is provided, it will be expanded into all its masters and instances, and the instances can be generated.
Web fonts
Use the Web fonts section to generate webfont formats and related test files.
The following webfont formats are supported:
- .otf
- .ttf
- .woff
- .woff2
- .eot
- .svg
Options
- woff
- Creates WOFF metadata based on the info in the font, if available.
- woff2
- Does not create any metadata – the fonts are simply compressed.
- preserve hints
- Check this option to prevent autohinting of binary TTF fonts.
- suffix
- Add a suffix to the output file names. The suffix can contain date time formatting.
- ttfautohint
- Opens a sheet to choose ttfautohint settings.
- generate html
- Generates a HTML preview with some simple presets.
ttfautohint
TrueType autohinting with ttfautohint is available when generating OpenType-TrueType webfonts.
Click on the gears icon to open the ttfautohint settings.
See the ttfautohint documentation for details about each setting.
Generate HTML
If Generate HTML is selected, Batch will generate a simple HTML+CSS test page to preview the webfonts.
Use the top text area to edit the HTML code, and the bottom one to edit the CSS.
The HTML preview can replace %(familyName)s
and %(styleName)s
by the corresponding font info values retrieved from the font.
Batch generate
Use the Batch Generate section to generate desktop fonts, and to convert fonts to VFB format.
The following binary output formats are supported:
- .otf
- .ttf
- .pfa
- .vfb
- variable fonts
Note: Generating .vfb fonts requires ufo2vfb.
Options
- decompose
- remove overlap
- autohint
- release mode
- suffix
- Add a suffix to the output file names. The suffix can contain date time formatting.
Variable Fonts
Use the Batch Generate section to generate variable fonts.
Note: It is required to provide a designSpace file.
Batch will try to optimize the designSpace data by performing the following actions:
- Add off-curve points where needed to make contours compatible.
- Add axes to the design space if they are missing.
- Add missing glyphs by generating them from the design space.
- Add kerning pairs to make kerning compatible.
Options
- autohint
- ...
- interpolate to fit axes extremes
- ...
Binary Merge
Use the Binary Merge section to merge specific tables from a source.
This option is available only when a UFO is provided, and when the UFO has the source path in the font.lib
.
Binary Merge will use the output settings selected in the Batch Generate section.
Settings
Click on the gears icon in the toolbar to open the Settings sheet.
- threaded
- ...
- export in subfolders
- Create subfolders for different types of file.
- keep file names
- Use the same file names as the input fonts.


The settings screen is divided into 4 main parts:
Preamble text
JSCruncher can automatically add a comment header to every file it compresses. This allows you to maintain copyright information etc., that would otherwise be stripped during the compression operation.
Preamble enabled
Use the edit control on this tab to set your desired preamble. There is also a checkbox for turning the preamble function on/off.
Repository
This the root folder for the compression output. All files you process will end up under this folder, keeping their original path intact. For instance, if compress the file c:\my files\tools.js and your repository is c:\jscrunch\repository\ , the compressed version of tools.js will wind up in c:\jscrunch\repository\c\my tools\.
Your repository can be a local folder, a network share or UNC.
note: while you can specify your root drive as the repository, it is not recommended. This will cause your original files to be replaced by the compressed versions.
File prefix
If specified, this value will be prepended to all compressed file names.
File postfix
If specified, this value will appended to all compressed file names.
Report missing semicolons
When enabled, the application will alert you to any missing semicolons. It is recommended that you leave this turned on. Missing semicolons can cause your compressed scripts to malfunction.
Automatically fix missing semicolons
When enabled, the validation engine will attempt to replace any missing semicolons it encounters. This will not alter your original files, only the compressed copies.
Location of map files
This is the path that JSCruncher will search when looking for obfuscation map files. This can be a local folder, a network share or UNC.
Where to save log files
Where to save the log files if 'Auto save logs' is enabled. This can be a local folder, a network share or UNC.
note: you can also save the log file displayed in the GUI, even if this option is disabled.
Obfuscation enabled
Turns obfuscation on/off.
Auto save logs
When obfuscation is enabled, JSCruncher will create a log file for each compression session listing the map substitutions it performed. This is very useful when setting up your initial map files. The log is displayed in the GUI along the bottom of the application, but you can also have it automatically saved to file by enabling this option.
Name of default "user defined" map
In the log that appears at the bottom of the screen after obfuscation, are all the substitutions that JSCruncher made. If you right-click any of these and select "Never replace", they are placed into what is known as the "user defined" map, which resides in the map folder with the other maps. Here you can change the name of this map file.


Numbers 15:14
And if a stranger sojourn with you, or whosoever be among you in your generations, and will offer an offering made by fire, of a sweet savor unto the LORD; as ye do, so he shall do.


Highly Experienced
NodeJS: I have designed and maintained many differeny stems using NodeJs. I am very familiar with common callback strategies and have extensive experience working with node's expressJS framework. Some of the libraries or tools I have used along with NodeJs include MongoDB (mongooseJS), socketIO, passportJS, Twillio, Stripe and Amazon's S3. I also have experience working with Q and promissses for advanced callbacks.
Moderately Experienced
Java: I used Java in many of my school projects and have some experience using it to program a simple android app. I am able to add external libraries and use these libraries using the popular Eclipse IDE and ave experience working with its debugger. Using GWT, I was also to create an application allowing users to access bike rack locations scattered throughout Vancouver.
AngularJS: I have used AngularJS along with NodeJS to create working websites. I was also able to import a working app using AngularJS and Phone-Gap that is currently approved on the Amazon App-Store. I am comfortable with using many features of angular such as factories, directives, and controllers. With angular, I am able to perform asynchronous calls to servers and be able to update the UI dynamically (Ajax).
C++: I have extended exposure to C++, using it in many areas such as graphic design and algorithmic analysis. In addition, I have used it along with objective-C for audio compression and analysis during my previous Co-op term in a start-up company. I am adept at using pointers and have good knowledge on how to use C++ for object oriented programming. I am comfortable using templates and can easily use external libraries.
Swift: Using Swift, I was able to implement a UI design provided by a UX designer using UICollectionView for the main layout. I have experience using and importing Objective-C libraries and can derive solutions through APIs even if it is written for Objective-C. I am also experienced with the popular MVC model for IOS development and have experience working with the delegate design pattern. Lastly, I have worked with IOS's core audio.
Rudimentarily Experienced
jQuery: I am able to use jQuery to implement simple actions and link it with HTML elements. I am familiar with how to select various DOM elements using jQuery and can use jQuery to execute and use other external libraries written in Javascript. For example, I can use jQuery to send HTTP requests asynchronously.
Matlab: With Matlab, I can easily solve simple problems related to linear algebra using variety of different algorithms. Some algorithms I am famaliar with include Cholesky's decomposition algorithm for solving matrixes, LU decomposition, and linear approximation for solving large matrixes. I am familiar with the syntax for Matlab and can easily use many of its internal libraries for solving algorithmic problems.
Objective-C: I am able to understand Objective-C syntax and be able to implement simple features using Objective-C. I am familiar with lazy instantiation and types found in Objective-C. My proficiency in Objective-C allows me to integrate libraries written in C++ and be able to write programs containing both Swift and Objective-C. Some examples on where I used Objective-C include writting code to intersect code-audio output and analyze it using FFT (fast fourier transform).
Bash: I have written bash scripts that can automate instiatiation of programs on new servers. With it, I can also run automated tests and use string manipulation and searching to locate bugs automatically. I am familiar with how to use bash scripts for automated logging. In my previous QA co-op term at AppNeta, I was able to write a script to automate a routinely ran regression test.
Python: I know basic Python and have taught beginners on how to familiar themselvew with the syntax. During my algorithm class, I was able to use python to solve many problems that involved divide-and-conquere strategies and dynamic programming. Using Python, I was also able to benchmark several algorithm and use this data to compare and contrast runtimes of different algorithms with different sample sizes.
Algorithmic Programming
I am able to use many different algorithms when solving problems. I am familiar with different types of sorting algorithms, such as quicksort and mergesort and different types of searching algorithms such as breadth-first search and depth-first search. From UBC, I have also learned about NP-complete problems and is able to identify which algorithms are NP-complete. In addition, I am also familiar with graphs, and have knowledge on algorithms related to graphs, such as Dijkstra's algorithm for fiding the shortest path between nodes in a graph. From a practical point of view, I am able to reduce new problems introduced to me into older problems that have known solutions.
Architectural and Design
I am familiar with many design patterns and have used them inside many of my projects. Some of these include: Observer, Composite, Adapter, Factory, Singleton, and Prototype. . I am also familiar with many architectures used when designing applicationns. Some architectures include: MVC, MVP, Client-Server, Event-Driven, Event-Bus, Blackboard, Peer-to-Peer, Layered, Pipe-and-Filter, Batch-Sequential, and Mobile Code. I am able to identify strength and weaknesses of these design and architectures and always considers them when designing applications or programs I write.
Design Processes: Agile and Waterfall
Having worked at a company that used Agile Development, I am familiar with the stages of Agile Development and the strength and weaknesses associated with it. In addition, I am also experienced with the Waterfall model and how it is important for products where first release encompasses majority of the prospective features for an application. I understand the development cycle for both Waterfall and Agile and have experienced the cycle when working as a QA engineer at Appneta during my co-op term.
Databases: SQL and NoSQL
I have experience in both SQL and NoSQL. For SQL, I know how to write queries in MySQL and can do a variety of queries for both inserting, updating, and searching items in the database. I also have experience with database design, and can spot strength and weaknesses in different types of design. For NoSQL, I have experience working with MongoDB and have incorporated it in several of my projects that utilize NodeJS. I understand the strength and weaknesses of both SQL and NoSQL, and know when to use either in my projects when necessary.


Hey! I've been making stuff online since 1995.
In 2001 I started Buzzgrinder, a music blog that was approached by an un-named company for acquisition which I'm quite happy I said no to. We did a ton of interviews, did some stuff at SXSW, and started a video show called "Scene Points."
In 2006 I worked for AOL Music a bit, then helped sites grow their audience outside of their "walled garden."
In 2007 I worked for Field & Stream Magazine as a web producer, where I built blogs, moved magazine content to the web, and did photo and video editing. The "Gun Nut" blog got... ummm... featured on the Colbert Report.
Rejoined AOL at the start of 2008, and helped launch Urlesque (RIP, 2011). Joined AOL Music later in the year.
In 2009 I launched Noisecreep for AOL Music. Built an amazing staff, started a great video interview series (which are all gone, sigh), set up amazing features, and led all social media efforts.
In 2011 I left AOL Music (RIP, 2013) and started Skull Toaster, a massive experiment in audience building, community management, social media, video production, email marketing, and writing.
In 2013 worked as Managing Editor at Cred.fm. Helped grow Twitter traffic from 100 clicks to 1000 clicks in one month. Wee!
Webmaster and prepping reports for Atom Splitter PR since 2013.
In 2014 started working with Solid Mfg., where I helped re-write site copy to make things clearer for new and existing clients, dug into Google Analytics, tweaked SEO for better organic search results, set-up and optimized Google and Facebook ads, and started regular email marketing campaigns.
Been working with Artists & Fleas since 2014 helping with building, managing, and maintaining their email marketing.
Webmaster for Adrenaline PR since 2014.
In 2015 I co-founded the Workbench Podcast, where we talk about working smarter.


Index of /r3/resources/views/stations
Parent Directory
create.blade.php
edit.blade.php
fields.blade.php
index.blade.php
modal_stations.blade.php
show.blade.php
show_fields.blade.php
table.blade.php


Tech-Enthusiast :3 . I love web-designing. I love Music :p #ESCN
The Regency public School-The Smart School
Here i pursued my secondary schooling and completed my Matriculation(10th) from Karnataka State board.
MES BR SUBBA RAO PU College
Here i completed my Intermediate i.e. 11th & 12th in Science stream with Physics,Chemistry & Mathematics as my major subjects under Karnataka State Board.
BMS Institute of Technology and Management
Here I am currently pursuing my Bachelor of Engineering(B.E.) Degree in Computer Science and Engineering. The college is affiliated to Visvesvaraya Technological University(V.T.U) and approved by AICTE and acredited by NBA.


About
I am a highly inspired and inquisitive Master's student majoring in the field of Artificial Intelligence from State University of New York at Buffalo. Currently, I am pursuing my Master's Thesis under the supervision of Dr. Wenyao Xu. I am interested in Software Engineering and Full-Stack Developer roles. I am also comfortable with the roles involving Data Analysis and Machine Learning knowledge and their implemnetation. I am proficient in programming languages such as Python, Java, VHDL and highly efficient in web technologies such as HTML,CSS, JavaScript and PHP.
Skills
Resume
Magnam dolores commodi suscipit. Necessitatibus eius consequatur ex aliquid fuga eum quidem. Sit sint consectetur velit. Quisquam quos quisquam cupiditate. Et nemo qui impedit suscipit alias ea. Quia fugiat sit in iste officiis commodi quidem hic quas.
-->Summary
Jyoti Sinha
A dedicated, passionate Engineer who possesses a solid working knowledge of algorithms, data structure, Machine/Pattern Recognition and other applications.
- Buffalo, New York, USA
- +1-7162008183
-<EMAIL_ADDRESS>Education
Master of Science, Computer Science
2019 - 2021
State University of New York, Buffalo, NY, USA
Pursuing Master's and majoring in Artificial Intelligence.Currently, doing Master's Thesis on the topic of "Root cause concern in perceiving Biometric Concern".
Bachelor of Engineering, Electronics and Communications Engg.
2014 - 2018
Birla Institute of Technology, Mesra, India
Studied Electronics and Communication Engineering. I did my Bachelor's Thesis on the topic of "Removal of noise artifacts from the ECG data signal using RLS, LMS and NLMS algorithm on the brain data that we collected"
Experience and Course-work
Teaching Assistant, University at Buffalo
Jan,2020 - Present
Teaching Assistant for ‘Pattern Recognition’ course (Aug,2020 - Present)
- Independently supervising the class of 42 students and also responsible for developing and grading assignments, term exams, weekly quizzes and projects.
- Assisted students in understanding various concepts of Bayesian network, SVM, GAN, Encoders etc.
- Demonstrated by implementing various Machine Learning and Deep Learning models.
Teaching Assistant for ‘Data Model and Query Language’ course (Jan,2020 - May,2020)
- Independently supervised the class of 30 students and graded projects, term exams and quizzes.
- Assisted students in understanding various concepts of SQL, XML and E-R model
Course-Work
2019 - 2021
Master's Course-Work
- Deep Learning
- Machine Learning
- Pattern Recognition
- Algorithm and Design
- Object Oriented Analysis and Design
- Software Engineering and Concepts
Projects
Magnam dolores commodi suscipit. Necessitatibus eius consequatur ex aliquid fuga eum quidem. Sit sint consectetur velit. Quisquam quos quisquam cupiditate. Et nemo qui impedit suscipit alias ea. Quia fugiat sit in iste officiis commodi quidem hic quas.
Logistic Regression
Implemented Logistic Regression on WDBC dataset from scratch in Python using Numpy, Pandas and Scikit-Learn.
See more about projectFashion-Mnist Cloth image classification
Implemented Neural network using Softmax and Sigmoid activation function using open-source library to classify the clothing images.
See more about projectK-Means Clustering on Fashion-MNIST dataset
Implemented K-Means Clustering on Fashion-MNIST dataset to classify the data into one of the 10 cluster.
See more about projectReinforcement Q-Learning
Implemented Q-Learning algorithm on an OpenAI Gym environment.
See more about projectGenerative Models on MNIST Digit Dataset
Implemented restricted Bolzmann machine, Variational autoencoder and Convolutional Neural Network to encode images.
See more about projectGuessing Game
Developed two-player guessing game using VHDL where one player enter the four digit hexadecimal digit and the another player guess the entered number.
See more about projectContact
Location:
27 Springville Avenue, Apt No.2, Buffalo, New York, USA, 14226
Email:
<EMAIL_ADDRESS>Call:
+1-7162008183


What is Strive?
Strive is the ultimate solution to cloud storage.
Using the latest streamlined technology, we make sure
your data is secure and quickly accessible.
Top of the line secuirty that makes sure your dad is never lost or stolen.
Quick speeds so you can access your data at the blink of an eye!
Easy access to data on multiple devices so you can access your data.
We provide the best service so you always feel like you're in the right hands.
"It's incredible. It really saves me time and effort. Strive is exactly what our business has been
lacking. Thanks to Strive, we've just launched our 5th website!"
- Chryste J.
"Strive is exactly what our business has been lacking. I couldn't have asked for more than this. I
will let my mum know about this, she could really make use of Strive!"
- Ruthy I.
"We're loving it. I can't say enough about Strive. I am so pleased with this product. Strive has
really helped our business."
- Rawley N.


{% extends "layout.html" %} {% block title %} Carving your inscription {% endblock title %} {% block layout-content %}
Back to Ruby Palace


The default reference frame to use when calling getEntityPose
.
By default, this is the origin
reference frame.
The time in milliseconds since the previous timestamp, capped to ContextService.maxDeltaTime
A coordinate system representing the floor.
While the stage
always represents a physical surface,
the floor
entity may represent a virtual floor.
This value caps the deltaTime for each frame. By default, the value is 1/3s (333.3ms)
An entity representing the local origin, which is oriented with +Y up. The local origin changes infrequently, is platform dependent, and is the suggested origin for a rendering scenegraph.
Any time the local origin changes, the localOriginChange event is raised.
An event that fires when the origin changes.
An event that is raised after the render event
An event that is raised when it is an approriate time to render graphics. This event fires after the update event.
A coordinate system representing the physical space in which the user is free to move around, positioned on the surface the user is standing on, where +X is east, +Y is up, and +Z is south (East-Up-South), if geolocation is known. If the stage is not geolocated, then the +X and +Z directions are arbitrary.
Subscribe to pose updates for the given entity id
The current (absolute) time according to the current reality. This value is arbitrary until the first ContextService.updateEvent.
A monotonically increasing value (in milliseconds) for the current frame state.  Use ContextService.time for absolute time. This value is -1 until the first ContextService.updateEvent.
Unsubscribe to pose updates for the given entity id
An event that is raised after managed entities have been updated for the current frame.
An coordinate system representing the user, where +X is right, +Y is up, and -Z is the direction the user is facing
An coordinate system representing the rendering view, where +X is right, +Y is up, and -Z is the direction of the view.
If geopose is available, this is the accuracy of the user's heading
If geopose is available, this is the accuracy of the user's cartographic location
If geopose is available, this is the accuracy of the user's elevation
alias for origin
An event that fires when the local origin changes.
The serialized frame state for this frame
Deprecated. Use timestamp property.
Create a new EntityPose instance to represent the pose of an entity relative to a given reference frame. If no reference frame is specified, then the pose is based on the context's defaultReferenceFrame.
the entity to track
The intended reference frame. Defaults to this.defaultReferenceFrame
.
Create a frame state.
Deprecated. Use EntityService.createFixed
(app.entity.createFixed
);
Deprecated. To be removed. Use the defaultReferenceFrame property.
Get the cartographic position of an Entity for the current context time
Gets the current pose of an entity, relative to a given reference frame.
The entity whose state is to be queried.
The intended reference frame. Defaults to this.defaultReferenceFrame
.
Deprecated. To be removed.
Deprecated. To be removed. Use the defaultReferenceFrame property if necessary.
Process the next frame state (which should come from the current reality viewer)
Subscribe to pose updates for an entity specified by the given id
the id of the desired entity
A new or existing entity instance matching the given id
Generated using TypeDoc
Provides a means of querying the current state of reality.


| Modifier and Type | Method and Description |
|---|---|
void |
computeMIS()
Computes an Independent Set as large as possible, although it is not necessarily maximum
|
void |
duplicate(Solver solver,
gnu.trove.map.hash.THashMap<Object,Object> identitymap) |
BitSet |
getMIS() |
boolean |
hasNextMIS() |
void |
prepare()
Potentially performs some calculation before computing independent sets
|
void prepare()
void computeMIS()
boolean hasNextMIS()
BitSet getMIS()
Copyright © 2015. All rights reserved.


She spoke the words aloud, and the audience immediately began to applaud her eloquent speech about the delicate bud of a dandelion, despite the crudeness of her surroundings. [G|D]
The cud of wisdom had been defrauded from the old man, leaving him a hollow dud as he feuded with his nemesis for years over an obscure grudge. [G|D]
The fraud was quickly discovered, and the voice of their leader was soon heard, lauding the clever pseud who had uncovered the truth, while the scud of the fleeing culprits faded away. [G|D]
The sky was shrouded in darkness as the spud of a potato bounced off a nearby wall, making a loud thud as it ricocheted off a stud, leaving a reverberating echo in its wake. [G|D]


public class POIFilter
extends java.lang.Object
| Constructor and Description |
|---|
POIFilter()
Initializes an empty filter.
|
POIFilter(java.util.Map<java.lang.String,java.lang.String> limitations)
Initializes the Filter with the limitations defined by the key-value-pairs
in
limitations , where the value is expected to be a POSIX-extended
regular expression. |
| Modifier and Type | Method and Description |
|---|---|
void |
addLimitation(java.lang.String key,
java.lang.String value)
Adds a attribute a POI must have to be part of the system with this filter.
|
boolean |
equals(java.lang.Object obj) |
java.util.Map<java.lang.String,java.lang.String> |
getLimitations()
Returns a map associating keys with their respective value defining an attribute of a POI.
|
boolean |
isExactlyMatching(java.util.Collection<PointOfInterest> pois)
Checks if the attributes of any of the POIs in
pois fulfill the conditions of this filter. |
boolean |
isExactlyMatching(PointOfInterest poi)
Checks if the attrbutes in
poi fulfill the conditions of this filter. |
boolean |
isMatching(java.util.Collection<PointOfInterest> pois)
Checks if the attributes of any of the POIs in
pois fulfill the conditions of this filter. |
boolean |
isMatching(PointOfInterest poi)
Checks if the attrbutes in
poi fulfill the conditions of this filter. |
public POIFilter()
public POIFilter(java.util.Map<java.lang.String,java.lang.String> limitations)
limitations
, where the value is expected to be a POSIX-extended
regular expression.limitations
- The key value-pairs.public void addLimitation(java.lang.String key, java.lang.String value)
key
- The key (name) of the attribute to add.value
- The value of the attribute to add. This parameter is treated as a regular
expression.public boolean isMatching(PointOfInterest poi)
poi
fulfill the conditions of this filter.poi
- The POI to check.true
if poi
meets the criteria of this filter.
Otherwise false
is returned.public boolean isMatching(java.util.Collection<PointOfInterest> pois)
pois
fulfill the conditions of this filter.pois
- The POIs to check.true
if all POIs in pois
meet the criteria of this filter.
Otherwise false
is returned.public boolean isExactlyMatching(PointOfInterest poi)
poi
fulfill the conditions of this filter.
In contrary to isMatching()
this method only returns true
if poi
has no other attributes than those specified by this filter.poi
- The POI to check.true
if and only if poi
meets the criteria specified by this filter.public boolean isExactlyMatching(java.util.Collection<PointOfInterest> pois)
pois
fulfill the conditions of this filter.
In contrary to isMatching()
this method only returns true
if the entries in pois
have no other attributes than those specified by this filter.pois
- The POIs to check.true
if all POIs in pois
meet the criteria of this filter.
Otherwise false
is returned.public java.util.Map<java.lang.String,java.lang.String> getLimitations()
public boolean equals(java.lang.Object obj)
equals
in class java.lang.Object


Our feet are built to be durable. Bones arranged to bear weight1, thick pads of skin, and fine motor control of each individual toe2 allow us to walk upright without a tail. As adults, we rarely think about how much we rely on our feet – at least not nearly as much (relatively) as our hands or eyes. When do you notice your feet? Probably when ... Read more 01 Nov 2014 - 3 minute read
Have you ever been leading a session and been faced with the statement, “That’s great, but what does it cost?” The new economics of education rely on free as the baseline of worth in the classroom, and that’s bad for ideas and growth. I know that money is tight1. I’ve spent hundreds of my own dollars on classroom supplies, materials, lessons,... Read more 27 Oct 2014 - 2 minute read
I’m not going to lie – I found this week’s assignment really, really difficult. More on that later. Nearly all of the coding I’ve done has been in front-end web development. I like playing with HTML structure and seeing what I can do with CSS. Lately, I’ve been creating a blog template which added some significant PHP and jQuery. I enjoy workin... Read more 23 Oct 2014 - 3 minute read
When you touch something hot, the nerves in your hand will immediately fire a signal up toward your head to make a decision about what to do about the “hot thing.” But – here’s the cool part – your nervous system is smarter than that.  In fact, you don’... Read more 15 Oct 2014 - 3 minute read
I’m expanding on a post I wrote a week or two ago in which I added automatic Flickr attribution to header images on the blog theme I’m working on. I wanted it to be done on all images on the blog, and I finally got the script after playing around and with some help from StackOverflow. Here’s the skinny: I didn’t expand my original script – I wa... Read more 13 Oct 2014 - 1 minute read
I’m on bath duty each night. After dinner, the water runs, and Meredith gets really, really excited. The tub is full of boat, plastic chains, and foam letters which have a great feature of sticking to the wall when they’re wet. I’ve even discovered that, if thrown just right, they will stick on their own. I don’t want to humblebrag, but I can g... Read more 06 Oct 2014 - less than 1 minute read
Structural patterns exist all around us, especially in living systems. A common example in the biology classroom is bone structures which show evolutionary similarities between species. My biology courses begin at the cellular level and explore the basic structures of life. Phosopholipids, for example, make up our cell membranes. Each individ... Read more 04 Oct 2014 - 3 minute read
“My work isn’t always incredibly creative, it’s just different than the way other people think about the same things.” Vicari Vollmar Creative work is defined by circumstance – we work creatively for our jobs but we also work in creative ways for personal fulfillment. Each requires a different mindset and ea... Read more 03 Oct 2014 - 3 minute read
Since early this year, the WHO has been calling for international aid in response to a burgeoning crisis in west Africa. There had been a confirmed death and further infections due to Ebola virus. Initially, it’s mortality rate was above 65% for infected individuals. Fast forward six months and the death toll has topped 3,000 with five countries... Read more 01 Oct 2014 - 2 minute read
The essence of abstraction consists in singling out one feature, which, in contrast to other properties, is considered to be particularly important. Sparks of Genius, p. 72 Looking past the obvious is hard to do, especially when you’re up against a deadline. Our quick-to-consume culture has conditioned us to see the world in snip... Read more 25 Sep 2014 - 1 minute read


The Holly Community Center is pleased to offer a variety of classes to the community. We have classes for kids and adults in subjects rangin from drama to computer skills to pottery. If you are intrested in expanding your horizons, then you will enjoy our catalogue of classes.
A basic introduction to digital photography. Students will learn basic photography techniques as well as some digital photo editing skills.
This class begins Saturday, January 10 from 1:00PM-3:00PM and runs for 6 weeks.
Improvisational comedy class for ages 18+. Learn new skills and have fun doning improv scenes. No experience necessary.
This class runs on Thursday nights statring on January 8 from 6:30PM-8:00PM and lasts 8 weeks.
This is a fun art program for children ages 4-6. Children will have fun making different crafts and learning about art and art techniques.
This class will be on Saturdays beginning on January 10 from 10:00AM-11:00AM.


Provides classes and interfaces for execution of tasks, similar to the {@link java.util.concurrent.Executor} but with support for untimed and timed blocking instead of rejecting the task.


This is an overview of the expression syntax for the LSystem Engine. Expressions are used in "define" statements, parametric letters, and for conditions in productions.
in a "define" statement
define : theta : pi * 0.25
define : dist : 3 * cos(theta)
in a parameteric letter
+(theta + inc)
F(dist * n)
in a "production" condition
production :*: F(x) :*: x < 3 : F+F+
production : F(a) : F(x) : F(b) : x > 3 & a < b : F+F+
Variables are declared in "define" statements. Variable names may contain any combination of alpha-numeric characters and underscores, but variable names must start with a letter or an underscore.
Legal variable names:
_a = 3
_1a = 3
a_1 = 3
a1 = 3
(also legal...)
__a1x_y2_ = 3
Illegal variable names (start with any number):
1_a = 3
1a = 3
The following variables are available.
pi = 3.14159
hpi = pi * 0.5
qpi = pi * 0.25
tau = pi * 2
(natural log base)
e = 2.71828
(golden ratio)
phi = (1 + sqrt(5)) / 2
The following variables are available as a convenience for specifing common Turtle command arguments.
(plane indices) PLANE_XY = 0 PLANE_YZ = 1 PLANE_XZ = 2 (axis indices) AXIS_X = 0 AXIS_Y = 1 AXIS_Z = 2 (destination indices) D_STACK = 0 D_DOC = 1 D_BOTH = 2 (boolean values) TRUE = 1 FALSE = 0 (loft types) L_NORMAL = 0 L_LOOSE = 1 L_TIGHT = 2 L_STRAIGHT = 3 L_DEVELOPABLE = 4 L_UNIFORM = 5
Additive Operators
+ (a+3) add
- (a-3) subtract
Multiplicative Operators
* (a*3) multiply
/ (a/3) divide
% (a%3) modulus
Assignment Operators
Standard assignment operators.
Please note: While these operators are provided, they are not recommended for use within any LSystem expression (Parametric Letters, Productions, Groups, Aliases, etc).
The usual methodology to set values in a parametric system is in the passing of parameters.
These operators can be used, but please understand the side-effects of doing so.
= (a=3) assignment
+= (a+=3) add assignment
-= (a-=3) subtract assignment
*= (a*=3) multiply assignment
/= (a/=3) divide assignment
%= (a%=3) modulo assignment
Logical Operators
All logic operations return either a one (1=true) or zero (0=false).
== (a == b) equals
!= (a != b) not equal to
> (a > b) greater than
≥ (a ≥ b) greater than or equal to
< (a < b) less than
≤ (a ≤ b) less than or equal to
Conditional Operators
| (a==b | a==c) or
& (a==b & a==c) and
Unary Operators
! (!a) not
- (-a) negative
++ (++a) increment (caution! this will set variable values)
-- (—a) decrement (caution! this will set variable values)
Parentheses can be used to control evaluation. Expressions can be nested in sets of parentheses to any level.
(< expression> ) a = 3 * ( 4 - ( ( b * n ) / c ) ) + 1.75 )
General
sqrt(a) square root of a
pow(a,b) power of a to b
mod(a,b) modulus of a divided by b
exp(a,b) exponential of a to b
Log
log(n) natural (base e) logarithm of n
log10(n) base 10 logarithm of n
Trig Functions
cos(t) cosine of angle t
sin(t) sine of angle t
tan(t) tangent of angle t
cosh(t) hyperbolic cosine
sinh(t) hyperbolic sine
tanh(t) hyperbolic tangent
acos(t) angle where cosine is t
asin(t) angle where sine is t
atan(t) angle where tangent is t
atan(y,x) angle where tangent is the quotient y x
Angular Units
deg(r) Converts radians to degrees
rad(d) Converts degrees to radians
Limits & Rounding
ceil(x) smallest whole number from x
floor(x) largest whole number from x
round(x) round x to nearest whole number
round(x,d) round x to decimal places d
Random
rnd() Random float from 0 to 1
rnd(x,y) Random float in range of x to y
rndint(x,y) Random integer in range of x to y


--- title: "BLOCK PARTY" date: "2000-01-01 20:08:02 -06:00" categories: - summer subtitle: "" layout: "events" event-image: "late-night-lego-movie.jpg" event-dates: "2020 DATE TO BE ANNOUNCED" event-location: "Red Butte Garden Amphitheatre" button-type: "tickets" tickets-link: "https://55218.blackbaudhosting.com/55218/2019-Block-Party" registration-info: "Tickets not required for kids under age 3" instructor-info: "N/A" member-cost: "FREE but registration required" public-cost: "$15 per person" event-notes: "" tickets-button: "hide" published: false ---
Join us for an unforgettable evening filled with games, nature-inspired crafts, Garden-wide scavenger hunts, and more.
Bring a picnic dinner to enjoy as you listen to live local music and soak up the beauty of summer in the Garden. Then, sit back and relax as you watch a late-night screening of 2020 film to be announced on the Amphitheatre lawn, complete with a free tasty treat or two.
Don’t miss out on this fun-filled night in the Garden. Perfect for families, friends, date-night, and more.
WHAT TO BRING
Be sure to bring low-back chairs and blankets. Hats or umbrellas to block the sun are always a good idea. You are welcome to bring a cooler and pack your own picnic and beverages of choice.
Even on the hottest summer days, the Amphitheatre is located at the mouth of Red Butte Canyon and it can get chilly after sundown, so bring a jacket and other warm layers to stay cozy during the movie.
No cooking or barbeques allowed. Please pack out whatever you bring into the venue.
Click HERE to see the Amphitheatre parking map.
2020 Date to be announced
$15 per person / Free for Garden members
Registration required


Dabo Swinney Comments On Injury To Alabama QB Tua Tagovailoa
by Andrew McCartyOn Saturday afternoon, Alabama’s star quarterback suffered a season-ending injury.
Tua Tagovailoa, who entered the game with a questionable designation, was carted off the field after dislocating his hip. He was flown to a hospital in Birmingham where he was diagnosed with a dislocated hip and partial hip fracture.
It’s a devastating blow for Tua, his family and the Alabama football program.
But one college football coach knows it’s much more than that. It’s a blow to football as a whole.
Clemson head coach Dabo Swinney raved about Tua when asked about the quarterback’s season-ending injury.
Here’s what he had to say, via The State:
“Obviously that’s a big loss for them. It’s a big loss for college football, because Tua, he’s a special player. You hate to play against him, but you have great respect for guys that you know do things the right way. He’s just the epitome of a winner. Just a great winner. I hate that for him, but I’m sure they’ve got great doctors and he’ll bounce back. It won’t be the last time you see Tua,” Swinney said.
Tua’s college career could be over, but he’s expected to fully recover from the devastating injury, which is great news for his pro prospects.
Stay tuned for the latest on Tua.


Mehmet Hazar Artuner
on 2011-12-18 23:10:53
thank you so much, you saved my life :D :D
Kevin van Zonneveld
on 2009-06-10 14:38:03
@ Kankrelune: Ok must be a caching issue then. I will try and see if I can reproduce it.
Kankrelune
on 2009-06-02 16:18:30
Yes me to... i don't see the difference today but the code is not the same than yesterday... a cache problem or i don't know... i was not drunked yet... lol... .. .
@ tchaOo°
Kevin van Zonneveld
on 2009-06-02 10:52:38
@ Kankrelune: Great job! Added!
(ps: I don't see a difference between the text file you uploaded and the source below, seems ok? am I not seeing it or was it different before?)
Kankrelune
on 2009-06-01 16:35:15
the code is not complete... it's a strange bug i have the same when i post version_compare()
http://www.webfaktory.info/uniqid.txt
@ tchaOo°
Kankrelune
on 2009-06-01 16:32:23
Final version without collisions...
function uniqid( prefix, more_entropy)
{
// string uniqid( [ str prefix, [ bool more_entropy ]])
// Generates a unique ID
//
// version:
// discuss at: http://phpjs.org/functions/uniqid
// + original by: Kankrelune (http://www.webfaktory.info/)
// * example 1: uniqid();
// * returns 1: 'a30285b160c14'
// * example 2: uniqid('foo');
// * returns 2: 'fooa30285b1cd361'
// * example 3: uniqid('bar', true);
// * returns 3: 'bara20285b23dfd1.31879087'
if(typeof prefix == 'undefined')
prefix = "";
var retId;
var formatSeed = function(seed, reqWidth) {
seed = parseInt(seed,10).toString(16); // to hex str
if (reqWidth < seed.length) { // so long we split
return seed.slice(seed.length - reqWidth);
}
if (reqWidth > seed.length) { // so short we pad
return Array(1 + (reqWidth - seed.length)).join('0')+seed;
}
return seed;
};
// BEGIN REDUNDANT
if (!this.php_js) {
this.php_js = {};
}
// END REDUNDANT
if (!this.php_js.uniqidSeed) { // init seed with big random int
this.php_js.uniqidSeed = Math.floor(Math.random() * 0x75bcd15);
}
this.php_js.uniqidSeed++;
retId = prefix; // start with prefix, add current milliseconds hex string
retId += formatSeed(parseInt(new Date().getTime()/1000,10),8);
retId += formatSeed(this.php_js.uniqidSeed,5); // add seed hex string
if(more_entropy) // for more entropy we add a float lower to 10
retId += (Math.random()*10).toFixed(8).toString();
return retId;
}
tested on 500.000 ids generated with the same prefix... .. . ;o)
@ tchaOo°
Kankrelune
on 2009-06-01 11:28:24
Hi... you're revisited version don't work...
on start replace
prefix += '';
by the original code...
if(typeof prefix == 'undefined')
prefix = "";
i have made this for a simple cause... an undefined var is casted to a string she's transformed to a string with for contents "undefined" and after the ids is malformed...
undefinded4a2027b600c14
I think it's not a good idea to use an uniqid var on the uniqid function... it's a risk to dev confusion and namespace collision (? i speak english same as a spanish cow lol)
rename he to id or other is better... same for...
return this.uniqid(prefix, more_entropy, reduce_collision);
>>
return uniqid(prefix, more_entropy, reduce_collision);
Bye
Kevin van Zonneveld
on 2009-05-31 21:01:29
@ Kankrelune: Agreed but I believe the way it's set up now it will only generate a new number every second. If this function is used in a loop, you may get many iterations ( ids ) per second, and so there's nothing really unique about those.
If we fix the bug it will be much better, for now I have to leave the current implementation in tact though.
Kankrelune
on 2009-05-31 20:44:20
Hi... i have allredy think to store the ids and re generate if collision but i don't like this idea... and i don't like the 3rd parameter... .. . :o)
On the last test i have 20/35 collisions for 10.000 ids generate with the same prefix... for me 0.2% of collision it's more like PHP than a 3rd parameter... .. . ;o)
I know where is the problem... i work on when i have time... .. .
@ tchaOo°
ps: sorry for my english
Kevin van Zonneveld
on 2009-05-31 19:24:20
@ Kankrelune: Thanks a lot for investing your time! I would really like to have the implementation like PHP, but it still needs some work. Checkout comments here:
http://trac.plutonia.nl/projects/phpjs/browser/trunk/functions/misc/uniqid.js
Kankrelune
on 2009-05-31 15:07:29
Updated version without sprintf() dependencie and a lower collisions ratio (30/10.000)...
// uniqid( [ str prefix, [ bool more_entropy ]])
// Generate a unique ID
// + original by: Kankrelune (http://www.webfaktory.info/)
// * example 1: uniqid();
// * returns 1: 4a2027b600c14
// * example 2: uniqid( time());
// * returns 2:<PHONE_NUMBER>4a20285a07b3f
// * example 3: uniqid( time(), true);
// * returns 3:<PHONE_NUMBER>4a20285b1cd361.31879087
function uniqid( prefix, more_entropy)
{
if(typeof prefix == 'undefined')
prefix = "";
var now, sec, usec;
var formatBase = function(value, reqWidth) {
value = (value >>> 0).toString(16);
if (reqWidth > value.length)
return Array(1 + (reqWidth - value.length) >>> 0).join('0') + value;
if (reqWidth < value.length)
return value.slice(0,reqWidth);
return value;
};
var getRandSeed = function() {
return [
0xa524,0x11f9b,0x11c3a,0x7f5e,0xbe31,0x585a,0xc9c9,0xbee7,0x6a0f,0x8cb2,
0x713e,0x11b99,0x4b7f,0x81f9,0x5e8d,0x15f34,0x57a9,0x10658,0x300d,0xa5da,
0x13150,0xdf23,0x31b5,0x16fbc,0x17260,0xda84,0x15d13,0x17dc4,0x6263,0x11909,
0x147ab,0x99b0,0xacf1,0x10da2,0xeb0f,0x9616,0x3e5b,0xd8dd,0x9331,0x13cb4,
0x6701,0x148e3,0x139a4,0x4e74,0x6e6c,0x1230a,0x73e9,0x4b87,0x49c2,0x1357a,
0x96cb,0x5010,0x9bc6,0x4588,0x9306,0x18107,0x1599f,0x7c97,0x16229,0x441c
][Math.floor( ( Math.random( ) * this.length ) )];
};
var makeSeed = function(seed) {
return seed * ((((Math.random() * getRandSeed()) * (Math.random() * getRandSeed())) * getRandSeed()) * getRandSeed());
};
now = new Date().getTime()/1000;
sec = parseInt(now,10);
usec = Math.round((now-sec)*1000)/1000;
if(more_entropy) // for more entropy we add a float lower to 10
return prefix+formatBase(sec,8)+formatBase(makeSeed(usec),5)+(Math.random()*10).toFixed(8);
return prefix+formatBase(sec,8)+formatBase(makeSeed(usec),5);
}
@ tchaOo°
Kankrelune
on 2009-05-29 23:34:31
I did the conversion. It works correctly, there are some collisions when more_entropy is false, but nothing really bad + / - 50 or 60 per 10,000 id created with the same prefix ...
-> http://img33.imageshack.us/img33/1899/testsa.png
// uniqid( [ str prefix, [ bool more_entropy ]])
// Generate a unique ID
// + original by: Kankrelune (http://www.webfaktory.info/)
// - depends on: sprintf
// * example 1: uniqid();
// * returns 1: 4a2027b600c14
// * example 2: uniqid( time());
// * returns 2:<PHONE_NUMBER>4a20285a07b3f
// * example 3: uniqid( time(), true);
// * returns 3:<PHONE_NUMBER>4a20285b1cd361.31879087
function uniqid( prefix, more_entropy)
{
if(typeof prefix == 'undefined')
prefix = "";
var now, sec, usec;
now = new Date().getTime()/1000;
sec = parseInt(now,10);
usec = Math.round((now-sec)*1000)/1000;
if(more_entropy) // for more entropy we add a float lower to 10
return sprintf("%s%08x%05x%s",prefix,sec,(usec*(Math.random()*999999)),(Math.random()*10).toFixed(8));
return sprintf("%s%08x%05x",prefix,sec,(usec*(Math.random()*999999)));
}
@ tchaOo°
Kevin van Zonneveld
on 2009-04-19 23:26:43
@ Michael Grier: That was exactly what I needed :D great. I will process the C code when I find the time. Thanks a lot, I'll make sure to mention your name in the final version.
Brett Zamir
on 2009-04-16 00:14:07
Aha...Gotcha...Thanks
Michael Grier
on 2009-04-15 15:42:46
That wasn't my point. Kevin just mentioned in the comments of the function that "we need to checkout the PHP source to find out how they generate this exactly," so since nobody else "seemed" to have done this (there are no other comments here about it), I looked for and posted the source.
Brett Zamir
on 2009-04-15 03:18:29
Hi Michael,
While it's great to use heavier algorithms, such as in the PHP source, I think our initial focus is on replicating the PHP API regardless of implementation--if you can make any implementations more robust (and/or speed them up), go for it! :)
Michael Grier
on 2009-04-14 17:53:59
Here's the 5.2.9 source for uniqid.c and lcg.c
http://mgrier.com/te5t/uniqid-source.txt
(you can click my name for same page)
Here's the short version of "more_entropy"
/*
* combinedLCG() returns a pseudo random number in the range of (0, 1).
* The function combines two CGs with periods of
* 2^31 - 85 and 2^31 - 249. The period of this function
* is equal to the product of both primes.
*/


SLF4J Android
The motivation for the SLF4J Android project was to ease using existing libraries which use SLF4J as their logging framework on the Google Android platform.
This project is basically a (i) repackaging of the SLF4J API part, together with (ii) a very lightweight binding implementation that simply forwards all SLF4J log requests to the logger provided on the Google Android platform. The API part is compiled from the same code basis of the standard distribution. This is the reason why we decided to keep the version numbering in sync with the standard SLF4J releases in order to reflect the code basis from which it was built.
Status
The implementation is currently fully functional but has not yet been fully tested in a production environment. Let us know if you have used it in production!
Usage
- Assuming that you use the Eclipse ADT plugin, simply add slf4j-android-<version>.jar to your project classpath.
- There is no further configuration required.
- Use loggers as usual:
-
Declare a logger
private static final Logger logger = LoggerFactory.getLogger(MyClass.class);
- Invoke logging methods, e.g.,
logger.debug("Some log message. Details: {}", someObject.toString());
-
Declare a logger
Log level mapping
The following table shows the mapping from SLF4J log levels to log levels in the Android platform, implemented by the logger binding.
| SLF4J | Android |
|---|---|
| TRACE | VERBOSE |
| DEBUG | DEBUG |
| INFO | INFO |
| WARN | WARN |
| ERROR | ERROR |
Logger name mapping
Recap, Logger instances created using the LoggerFactory are named either according to the name given as parameter, or the fully qualified class name of the class given as paramenter. Each logger name will be used as the log message tag on the Android platform. However, the length of such tags is currently limited to 23 characters (23 = 32 - 8 for namespace prefix - 1 for C terminator). Starting from version 1.6.1, if the fully qualified class name (or the name given as parameter at creation time) exceeds this limit then it will be truncated by the LoggerFactory and the new Logger will have the truncated name. The following examples illustrate this.
| Original Name | Truncated Name |
|---|---|
| org.example.project.MyClass | o*.e*.p*.MyClass |
| org.example.project.subproject.MyClass | o*.e*.p*.s*.MyClass |
| org.example.MyQuiteLongNamedClassOfTooMuchCharacters | o*.e*.MyQuiteLongNamed* |
| o.e.project.subproject.MyClass | o.e.p*.s*.MyClass |
| MyQuiteLongNamedClassNotInAPackage | MyQuiteLongNamedClassN* |
Limitations
The Android binding implementation currently does not support Markers. All logging methods which have a Marker parameter simply delegate to the corresponding method without a Marker parameter, i.e., the Marker parameter is silently ignored.
Download
Release Candidate
Binary: slf4j-android-1.6.1-RC1.jar [sha1]
Source: slf4j-android-1.6.1-RC1-sources.jar [sha1]
Previous Version
Binary: slf4j-android-1.5.8.jar [sha1]
Source: slf4j-android-1.5.8-sources.jar [sha1]
Note that in version 1.5.8 logger names must not be longer than 23 characters, see
issue 173.
Source Repository
Sources are available read-only from the following Git repository, folder slf4j-android. This repository is a fork of the main SLF4J Git repository.
| Web access | http://github.com/twwwt/slf4j |
| git | git://github.com/twwwt/slf4j.git |
| http | http://github.com/twwwt/slf4j.git |
Credits
Created and maintained by Thorsten Möller, Databases and Information Systems Group – University of Basel – Switzerland
License
Source code and binaries are distributed under the MIT license.


Make sure the following environment exists in your lean.json
file before you start local live trading on Interactive Brokers:
{ "environments": { "live-interactive": { "live-mode": true, "live-mode-brokerage": "InteractiveBrokersBrokerage", "setup-handler": "QuantConnect.Lean.Engine.Setup.BrokerageSetupHandler", "result-handler": "QuantConnect.Lean.Engine.Results.LiveTradingResultHandler", "data-feed-handler": "QuantConnect.Lean.Engine.DataFeeds.LiveTradingDataFeed", "data-queue-handler": "QuantConnect.Brokerages.InteractiveBrokers.InteractiveBrokersBrokerage", "real-time-handler": "QuantConnect.Lean.Engine.RealTime.LiveTradingRealTimeHandler", "transaction-handler": "QuantConnect.Lean.Engine.TransactionHandlers.BrokerageTransactionHandler", "history-provider": "BrokerageHistoryProvider" } } }
Make sure the following properties are configured above the environments
object in your lean.json
file before you start local live trading on Interactive Brokers:
ib-account
: This property must contain the name of the account (example: DU1234567).ib-user-name
: This property must contain the username of the given account (example: trader123).ib-password
: This property must contain the password of the given account.ib-agent-description
: This property describes the type of trader that you are. It must be Individual
or I
if you are an individual, A
if you are an agency, or W
if you are an agent or other member.ib-trading-mode
: This property must be paper
if the specified account is a paper account, or live
if the specified account is a live account.ib-enable-delayed-streaming-data
: This property configures the behavior when your algorithm attempts to subscribe to market data for which you don't have a market data subscription on Interactive Brokers. When set to true
, your algorithm continues running using delayed market data. When set to false
, live trading will stop and LEAN will shut down.
After setting up the required configuration you can continue with step 4 of the tutorial in the introduction and use live-interactive
as environment name in the steps that follow.


{% autoescape true %}
Topic:
Query:
Max results:
Queries can use the full syntax of the
Search API
.
Example queries: [author:colohan] [topic:chat AND burritos] [email:president] [date >= 2000-12-31] [content:"distributed tacos"] {% endautoescape %}


Solve for x
:
(x - H)^2 + K = 0
x = \quad
\quad \text{or} \quad x = \quad
integers, like 6
simplified proper fractions, like 3/5
simplified improper fractions, like 7/4
and/or exact decimals, like 0.75
Add abs( K )
to both sides so we can start isolating x
on the left:
\qquad (x - H)^2 = -K
Take the square root of both sides to get rid of the exponent.
\qquad \sqrt{(x - H)^2} = \pm \sqrt{-K}
Be sure to consider both positive and negative CONSTANT
, since squaring either one results
in -K
.
\qquad x - H = \pm CONSTANT
Add abs( H )
to both sides to isolate x
on the left:
Subtract abs( H )
from both sides to isolate x
on the left:
\qquad x = H \pm CONSTANT
Add and subtract CONSTANT
to find the two possible solutions:
\qquad x = H + CONSTANT \quad \text{or} \quad x = H - CONSTANT
Determine where f(x)
intersects the x
-axis.
f(x) = (x - H)^2 + K
The function intersects the x
-axis where f(x) = 0
, so solve the equation:
\qquad (x - H)^2 + K = 0