There are some smart ideas and pleasant performances in ``Hav Plenty,'' an attempt at a modern screwball comedy involving several affluent African-Americans, and it's easy to admire writer Christopher Scott Cherot's ambitions - especially after such recent low-brow turkeys as ``Ride'' and ``I Got The Hook-Up.''
But though its heart is in the right place, ``Plenty'' doesn't quite click. Perhaps in the end Cherot spread himself a bit too thin: In addition to authoring the screenplay, he also produced, directed, edited and starred in his movie.
It's his performance as homeless young writer Lee Plenty that handicaps the picture most severely, since, in order for the story to work, we must believe Lee is a charmer who proves to be prime date-bait for the women he meets. Though Cherot dons a threadbare sweater and tattered jeans to look suitably down-at-the-heels, the charisma the part requires eludes him. He tries to make up for this lack of sparkle by playing cute - blowing bubbles in his juice with a straw, affecting a hangdog look, making little asides to the audience - and few things are less attractive than adults trying to be adorable.
In form, ``Plenty'' is vaguely similar to director Paul Mazursky's fondly remembered ``Down and Out In Beverly Hills.'' Lee, living in his car since he lost his lease on a New York apartment, accepts a last-minute invitation from sophisticated friend Havilland Savage (Chenoa Maxwell) to spend New Year's Eve at her family's home in Washington. Once in the house, Lee is practically attacked by Havilland's lusty pal Caroline (Tammi Katherine Jones), Havilland's unhappily married sister Leigh (Robbine Lee) and, finally, by Havilland herself.
The ladies just can't resist ... the discreet charm of the destitute? Whatever allure Lee possesses, it's not on-screen. Sex and nudity are also conspicuous in their absence, sort of a surprise in a movie of this type.
Cherot's direction is more assured than his acting, and he gets generally strong performances from his cast. Lee and Maxwell make strong impressions, generating a sisterly friction that feels true-to-life, and Hill Harper appears to be having some serious fun as a Puff Daddy-ish musical impressario.
If the cinematography by Kerwin De Vonish is sometimes a bit on the fuzzy side, it's worth noting that ``Hav Plenty'' was made for only $65,000, a pittance by Hollywood standards. Even so, Cherot managed to attract Kenneth ``Babyface'' Edwards to supply a seductive soundtrack, including a Babyface/Des'ree cover of Bruce Springsteen's ``Fire'' that undoubtedly will burn up the charts this summer.
James Sanford
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


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# External storages
An external storage is needed in some programs for scenarios like:
Having a single storage for settings and distribute across multiple instances
The need to change settings on the fly without redeploying or restarting the app (see [Feature Flags](feature_flag.html))
Storing sensitive values in a safe sealed Vault
## Using REDIS
Run a Redis server installed or via docker:
`bash
$ docker run -d -p 6379:6379 redis
`
Install support for redis in dynaconf
`bash
$ pip install dynaconf[redis]
`
In your .env file or in exported environment variables define:
`bash
REDIS_ENABLED_FOR_DYNACONF=true
REDIS_HOST_FOR_DYNACONF=localhost
REDIS_PORT_FOR_DYNACONF=6379
`
You can now write variables direct in to a redis hash named DYNACONF_< env > for example:
DYNACONF_DEFAULT: default values
DYNACONF_DEVELOPMENT: loaded only when ENV_FOR_DYNACONF=development (default)
DYNACONF_PRODUCTION: loaded only when ENV_FOR_DYNACONF=production
DYNACONF_CUSTOM: loaded only when ENV_FOR_DYNACONF=custom
You can also use the redis writer
`bash
$ dynaconf write redis -v name=Bruno -v database=localhost -v port=1234
`
The above data will be recorded in redis as a hash:
``` DYNACONF_DEFAULT {
NAME=’Bruno’ DATABASE=’localhost’ PORT=’@int 1234’
}¶
If you want to write to specific env pass the -e option.
`bash
$ dynaconf write redis -v name=Bruno -v database=localhost -v port=1234 -e production
`
The above data will be recorded in redis as a hash:
``` DYNACONF_PRODUCTION {
NAME=’Bruno’ DATABASE=’localhost’ PORT=’@int 1234’
}¶
Then to access that values you can set export ENV_FOR_DYNACONF=production or directly via settings.from_env(‘production’).NAME
> if you want to skip type casting, write as string intead of PORT=1234 use PORT=“‘1234’”.
Data is read from redis and another loaders only once when dynaconf.settings is first accessed or when from_env, .setenv() or using_env() are invoked.
You can access the fresh value using settings.get_fresh(key)
There is also the fresh context manager
```python from dynaconf import settings
print(settings.FOO) # this data was loaded once on import
- with settings.fresh():
print(settings.FOO) # this data is being freshly reloaded from source
print(settings.get(‘FOO’, fresh=True)) # this data is being freshly reloaded from source ```
And you can also force some variables to be fresh setting in your setting file
`python
FRESH_VARS_FOR_DYNACONF = ['MYSQL_HOST']
`
or using env vars
`bash
export FRESH_VARS_FOR_DYNACONF='["MYSQL_HOST", "OTHERVAR"]'
`
Then
```python from dynaconf import settings
print(settings.FOO) # This data was loaded once on import
print(settings.MYSQL_HOST) # This data is being read from redis imediatelly! ```
## Using Hashicorp Vault to store secrets
Read more in [Using Vault Server section](sensitive_secrets.html)
## Custom Storages
Do you want to store settings in other databases like NoSQL, Relational Databases or other services?
Please see how to [extend dynaconf](extend.html) to add your custom loaders.


|
Clingo C API
C API for clingo providing high level functions to control grounding and solving.
|
Functions and data structures to inspect programs.
Classes | |
| struct | clingo_weighted_literal |
| A Literal with an associated weight. More... | |
| struct | clingo_ground_program_observer |
| An instance of this struct has to be registered with a solver to observe ground directives as they are passed to the solver. More... | |
Typedefs | |
| typedef int | clingo_heuristic_type_t |
| Corresponding type to clingo_heuristic_type. | |
| typedef int | clingo_external_type_t |
| Corresponding type to clingo_external_type. | |
| typedef struct clingo_weighted_literal | clingo_weighted_literal_t |
| A Literal with an associated weight. | |
| typedef struct clingo_ground_program_observer | clingo_ground_program_observer_t |
| An instance of this struct has to be registered with a solver to observe ground directives as they are passed to the solver. More... | |
Enumerations | |
| enum | clingo_heuristic_type { clingo_heuristic_type_level = 0, clingo_heuristic_type_sign = 1, clingo_heuristic_type_factor = 2, clingo_heuristic_type_init = 3, clingo_heuristic_type_true = 4, clingo_heuristic_type_false = 5 } |
| Enumeration of different heuristic modifiers. More... | |
| enum | clingo_external_type { clingo_external_type_free = 0, clingo_external_type_true = 1, clingo_external_type_false = 2, clingo_external_type_release = 3 } |
| Enumeration of different external statements. More... | |
| typedef struct clingo_ground_program_observer clingo_ground_program_observer_t |
An instance of this struct has to be registered with a solver to observe ground directives as they are passed to the solver.
Not all callbacks have to be implemented and can be set to NULL if not needed. If one of the callbacks in the struct fails, grounding is stopped. If a non-recoverable clingo API call fails, a callback must return false. Otherwise clingo_error_unknown should be set and false returned.
| enum clingo_external_type |
Enumeration of different heuristic modifiers.


Here we have the second ability of a straightedge, namely, to extend a given line AB to CD. This postulate does not say how far a line can be extended. Sometimes it is used so that the extension equals some other line. Other times it is extended arbitrarily far.
As with the first postulate, it is implicitly assumed in the books on plane geometry that when a line is extended, it remains in the plane of discussion. The first proposition on solid geometry, proposition XI.1, claims that line can’t be only partly in a plane. The central step in the proof of that proposition is to show that a line cannot be extended in two ways, that is, there is only one continuation of a line. The proof is hardly convincing. Rather, this postulate should include a clause to that effect.
| Suppose the angle ABC is to be trisected. Draw a circle
DEF with center B and any radius. Extend CB
through D and beyond. Fit in a line GHE passing
through E and a point G on the line CB
extended so that a segment (colored green) equal to the radius
BD of the circle starts at G and ends at a point
H on the circle. (You’ll have to move G around until
H lands on the circle.) Draw BH.
With the help of Euclid’s propositions here in Book I, we can show that angle EGC is one-third of angle ABC. Since the lines GH, HB, and BE are equal, therefore the triangles GHB and HBE are isosceles. Therefore, by I.5, angle HGB equals HBG, and angle BHE equals angle BEH. |
By I.32, the exterior angle BHE of triangle GHB equals the sum of the equal angles HGB and HBG, therefore angle BHE is double angle HGB. And angle BEH equals BHE, so it is also double angle HGB.
Again by I.32, the exterior angle ABC of triangle BEG is the sum of angles HGB and BEH. But angle BEH is double angle HGB, therefore angle ABC is triple angle HGB.
Therefore, angle GHB is one-third of angle ABC. Q.E.D.
The ancient Greek geometers believed that angle trisection required tools beyond those given in Euclid’s postulates. They were right, but it wasn’t proved until Wantzel in 1837 proved that a 60°-angle cannot be so trisected using only Euclidean tools.
Euclid has no postulate for neusis constructions, and since neusis constructions can trisect angles, we conclude from Wantzel’s theorem that another postulate is required to justify neusis constructions.


| DOSE: T+ 0:00 |
20 mg |
oral |
Pharms - Fluoxetine |
(daily) |
| T+ 0:00 |
0.5 hits |
oral |
LSD |
(blotter / tab) |
| T+ 1:00 |
0.5 hits |
oral |
LSD |
(blotter / tab) |
| T+ 1:30 |
1 hit |
oral |
LSD |
(blotter / tab) |
Subject: 32-year-old male
Substance: 2 hits of LSD. 20mg fluoxetine daily
Setting: At home on a Sunday
Mindset: No particular worries, curiosity about effects of LSD
My first time taking LSD was on a warm, sunny Sunday afternoon in February, towards the end of the summer in Melbourne. I have been taking 20mg fluoxetine daily for depression for most of the past 10 years. I was intrigued by the reports that fluoxetine diminishes the LSD effects.
At 11.30 AM I cautiously cut the first of the two blotter squares (with a Pharoah picture on them) and let it stay under my tongue for a few seconds before chewing it and swallowing it. An hour passed and I felt no different. I took the other half of the first blotter square, waited another half hour and was still not feeling anything. Impulsively I took the whole other square. Then I relaxed on the couch with a book and tried to forget about the LSD altogether. Perhaps it was a weak lot of acid.
By about 1.30 PM I was feeling distinctly different. I felt sort of hot all over, my skin felt sweaty and my limbs felt very light. When I walked it felt like I was walking on a trampoline and I was bouncing up and down. My mood became somewhat euphoric and noticed that I found it hard to communicate without giggling at the absurdity of everything that I contemplated.
Then I noticed that objects took on a new vivacity, a sense that I was perceiving their 'true' form. All objects, including inanimate objects, seemed to be communicating their essence in a sort of emotional signal of some sort.  An empty clothes-rack (one of those ones in the shape of an X) became a stern-looking woman with her hands on her hips. Two bags of nuts lying on top of each other became two beautiful things in loving embrace with each other. Flowers opened to the sky in sheer joy. I stress that I was not experiencing visual hallucinations or even visual illusions - I saw no peculiar colours, shapes or patterns. What changed was the emotional valence attached to the environment.
I decided to take the dog to the park, and when he was eagerly tugging me along the pavement it felt like my arm, holding the lead, was being pulled out from my body and visually perspective shifted when I looked at the dog so that my hand holding the lead seemed suddenly to be very far away.
In the park I was overwhelmed by the beauty and the life surrounding me and I laid down on my back feeling the warm sun-baked grass beneath me. When I closed my eyes I noticed some flashing and moving geometrical patterns, but they weren't very intense. I got up and noticed another man roughly my age walking his dog.  I was conscious of this feeling and able to note it objectively and not allow it to dictate my behaviour unchecked. Although I felt very physically attracted to him I did not feel aroused. It was more like I was unable to take my eyes off the visual feast that his presence embodied.
When I passed him he said 'its a great invention isn't it?' presumably referring to the dog ball-thrower we were both using, although my first understanding of his question was that he was referring to LSD.
After I returned home, at about 4:00 PM my boyfriend drove the car down a few blocks to the local Asian grocery store with me in the front passenger seat. I quickly understood how dangerous it would be to drive while under the influence of LSD. When I looked at roadsigns, they seemed to convey no meaning, they looked so absurd I laughed out loud.
In the grocery store I was standing in the middle of a rather narrow aisle between rows of well-stocked shelves. When I looked up and down the aisle, the ground seemed to curve upwards, like I was at the bottom of a deep hole. I had to leave the shop because the distortion of perspective was becoming too intense.
Out of curiosity, at some stage early in the afternoon I jacked off, but it wasn't especially different from normal, in fact probably less satisfying if anything.
When I was sitting in the lounge-room at about 6:00 PM I looked at the clock on the wall. For a brief moment, none of the ticks (marking the hours on the clockface) seemed any more meaningful than the others, and I had to make an effort to tell the time.
I retired to bed at about 8:30 PM and noticed that objects around the bedroom were gently breathing or slowly getting bigger then smaller.
The next morning I felt completely normal.
I was subsequently told that the acid was quite strong and surprise was expressed by the man who gave it to me that I took two at once, never having taken it before. Perhaps if I was not taking fluoxetine the effects would have been a lot stronger.
A final note - I had read elsewhere that LSD is something that some people don't want to repeat for while, not because it was unpleasant, but because it is such a long-lasting distortion of mental functioning. I certainly felt like I would like to take it again, but not for another few weeks at least.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


Using AWS Lambda environment variables
You can use environment variables to adjust your function's behavior without updating code. An environment variable is a pair of strings that are stored in a function's version-specific configuration. The Lambda runtime makes environment variables available to your code and sets additional environment variables that contain information about the function and invocation request.
To increase database security, we recommend that you use AWS Secrets Manager instead of environment variables to store database credentials. For more information, see Configuring database access for a Lambda function.
You set environment variables on the unpublished version of your function by specifying a key and value. When you publish a version, the environment variables are locked for that version along with other version-specific configuration.
To set environment variables in the Lambda console
-
Open the Functions page
on the Lambda console. -
Choose a function.
-
Under Environment variables, choose Edit.
-
Choose Add environment variable.
-
Enter a key and value.
Requirements
-
Keys start with a letter and are at least two characters.
-
Keys only contain letters, numbers, and the underscore character (
_
). -
Keys aren't reserved by Lambda.
-
The total size of all environment variables doesn't exceed 4 KB.
-
-
Choose Save.
Use environment variables to pass environment-specific settings to your code. For example, you can have two functions with the same code but different configuration. One function connects to a test database, and the other connects to a production database. In this situation, you use environment variables to tell the function the hostname and other connection details for the database.
The following example shows how to define the database host and database name as environment variables.
If you want your test environment to generate more debug information than the production environment, you could set an environment variable to configure your test environment to use more verbose logging or more detailed tracing.
Environment variables are not evaluated prior to the function invocation. Any value you define is considered a literal string and not expanded. Perform the variable evaluation in the function code.
To retrieve environment variables in your function code, use the standard method for your programming language.
Lambda stores environment variables securely by encrypting them at rest. You can configure Lambda to use a different encryption key, encrypt environment variable values on the client side, or set environment variables in an AWS CloudFormation template with AWS Secrets Manager.
Sections
Runtime environment variables
Lambda runtimes set several environment variables during initialization. Most of the environment variables provide information about the function or runtime. The keys for these environment variables are reserved and cannot be set in your function configuration.
Reserved environment variables
-
_HANDLER
– The handler location configured on the function. -
_X_AMZN_TRACE_ID
– The X-Ray tracing header. -
AWS_REGION
– The AWS Region where the Lambda function is executed. -
AWS_EXECUTION_ENV
– The runtime identifier, prefixed byAWS_Lambda_
—for example,AWS_Lambda_java8
. -
AWS_LAMBDA_FUNCTION_NAME
– The name of the function. -
AWS_LAMBDA_FUNCTION_MEMORY_SIZE
– The amount of memory available to the function in MB. -
AWS_LAMBDA_FUNCTION_VERSION
– The version of the function being executed.AWS_LAMBDA_INITIALIZATION_TYPE
– The initialization type of the function, which is eitheron-demand
orprovisioned-concurrency
. For information, see Configuring provisioned concurrency. -
AWS_LAMBDA_LOG_GROUP_NAME
,AWS_LAMBDA_LOG_STREAM_NAME
– The name of the Amazon CloudWatch Logs group and stream for the function. -
AWS_ACCESS_KEY_ID
,AWS_SECRET_ACCESS_KEY
,AWS_SESSION_TOKEN
– The access keys obtained from the function's execution role. -
AWS_LAMBDA_RUNTIME_API
– (Custom runtime) The host and port of the runtime API. -
LAMBDA_TASK_ROOT
– The path to your Lambda function code. -
LAMBDA_RUNTIME_DIR
– The path to runtime libraries. -
TZ
– The environment's time zone (UTC
). The execution environment uses NTP to synchronize the system clock.
The following additional environment variables aren't reserved and can be extended in your function configuration.
Unreserved environment variables
-
LANG
– The locale of the runtime (en_US.UTF-8
). -
PATH
– The execution path (/usr/local/bin:/usr/bin/:/bin:/opt/bin
). -
LD_LIBRARY_PATH
– The system library path (/lib64:/usr/lib64:$LAMBDA_RUNTIME_DIR:$LAMBDA_RUNTIME_DIR/lib:$LAMBDA_TASK_ROOT:$LAMBDA_TASK_ROOT/lib:/opt/lib
). -
NODE_PATH
– (Node.js) The Node.js library path (/opt/nodejs/node12/node_modules/:/opt/nodejs/node_modules:$LAMBDA_RUNTIME_DIR/node_modules
). -
PYTHONPATH
– (Python 2.7, 3.6, 3.8) The Python library path ($LAMBDA_RUNTIME_DIR
). -
GEM_PATH
– (Ruby) The Ruby library path ($LAMBDA_TASK_ROOT/vendor/bundle/ruby/2.5.0:/opt/ruby/gems/2.5.0
). -
AWS_XRAY_CONTEXT_MISSING
– For X-Ray tracing, Lambda sets this toLOG_ERROR
to avoid throwing runtime errors from the X-Ray SDK. -
AWS_XRAY_DAEMON_ADDRESS
– For X-Ray tracing, the IP address and port of the X-Ray daemon. -
AWS_LAMBDA_DOTNET_PREJIT
– For the .NET 3.1 runtime, set this variable to enable or disable .NET 3.1 specific runtime optimizations. Values includealways
,never
, andprovisioned-concurrency
. For information, see Configuring provisioned concurrency.
The sample values shown reflect the latest runtimes. The presence of specific variables or their values can vary on earlier runtimes.
Securing environment variables
Lambda encrypts environment variables with a key that it creates in your account (an AWS managed customer master key (CMK)). Use of this key is free. You can also choose to provide your own key for Lambda to use instead of the default key.
When you provide the key, only users in your account with access to the key can view or manage environment variables on the function. Your organization might also have internal or external requirements to manage keys that are used for encryption and to control when they're rotated.
To use a customer managed CMK
-
Open the Functions page
on the Lambda console. -
Choose a function.
-
Under Environment variables, choose Edit.
-
Expand Encryption configuration.
-
Choose Use a customer master key.
-
Choose your customer managed CMK.
-
Choose Save.
Customer managed CMKs incur standard AWS KMS charges
No AWS KMS permissions are required for your user or the function's execution role to use the default encryption key. To use a customer managed CMK, you need permission to use the key. Lambda uses your permissions to create a grant on the key. This allows Lambda to use it for encryption.
-
kms:ListAliases
– To view keys in the Lambda console. -
kms:CreateGrant
,kms:Encrypt
– To configure a customer managed CMK on a function. -
kms:Decrypt
– To view and manage environment variables that are encrypted with a customer managed CMK.
You can get these permissions from your user account or from a key's resource-based
permissions policy.
ListAliases
is provided by the managed policies for
Lambda. Key policies grant the remaining permissions to users in the Key users
group.
Users without Decrypt
permissions can still manage functions, but they can't view environment
variables or manage them in the Lambda console. To prevent a user from viewing environment
variables, add a
statement to the user's permissions that denies access to the default key, a customer
managed key, or all
keys.
Example IAM policy – Deny access by key ARN
{ "Version": "2012-10-17", "Statement": [ { "Sid": "VisualEditor0", "Effect": "Deny", "Action": [ "kms:Decrypt" ], "Resource": "arn:aws:kms:us-east-2:123456789012:key/3be10e2d-xmpl-4be4-bc9d-0405a71945cc" } ] }
For details on managing key permissions, see Using key policies in AWS KMS.
You can also encrypt environment variable values on the client side before sending them to Lambda, and decrypt them in your function code. This obscures secret values in the Lambda console and API output, even for users who have permission to use the key. In your code, you retrieve the encrypted value from the environment and decrypt it by using the AWS KMS API.
To encrypt environment variables on the client side
-
Open the Functions page
on the Lambda console. -
Choose a function.
-
Under Environment variables, choose Edit.
-
Expand Encryption configuration.
-
Choose Enable helpers for encryption in transit.
-
Choose Encrypt next to a variable to encrypt its value.
-
Choose Save.
When you use the console encryption helpers, your function needs permission to call
the
kms:Decrypt
API operation in its execution
role.
To view sample code for your function's language, choose Code next to an environment variable. The sample code shows how to retrieve an environment variable in a function and decrypt its value.
Another option is to store passwords in AWS Secrets Manager secrets. You can reference the secret in your AWS CloudFormation templates to set passwords on databases. You can also set the value of an environment variable on the Lambda function. For an example, see the next section.
Configuring environment variables with the Lambda API
To manage environment variables with the AWS CLI or AWS SDK, use the following API operations.
The following example sets two environment variables on a function named my-function
.
aws lambda update-function-configuration --function-name my-function \ --environment "Variables={BUCKET=my-bucket,KEY=file.txt}"
When you apply environment variables with the update-function-configuration
command, the entire
contents of the Variables
structure is replaced. To retain existing environment variables when you
add a new one, include all existing values in your request.
To get the current configuration, use the get-function-configuration
command.
aws lambda get-function-configuration --function-name my-function
You should see the following output:
{ "FunctionName": "my-function", "FunctionArn": "arn:aws:lambda:us-east-2:123456789012:function:my-function", "Runtime": "nodejs12.x", "Role": "arn:aws:iam::123456789012:role/lambda-role", "Environment": { "Variables": { "BUCKET": "my-bucket", "KEY": "file.txt" } }, "RevisionId": "0894d3c1-2a3d-4d48-bf7f-abade99f3c15", ... }
To ensure that the values don't change between when you read the configuration and
when you update it, you can
pass the revision ID from the output of get-function-configuration
as a parameter to
update-function-configuration
.
To configure a function's encryption key, set the KMSKeyARN
option.
aws lambda update-function-configuration --function-name my-function \ --kms-key-arn arn:aws:kms:us-east-2:123456789012:key/055efbb4-xmpl-4336-ba9c-538c7d31f599
Sample code and templates
Sample applications in this guide's GitHub repository demonstrate the use of environment variables in function code and AWS CloudFormation templates.
Sample applications
-
Blank function – Create a function and an Amazon SNS topic in the same template. Pass the name of the topic to the function in an environment variable. Read environment variables in code (multiple languages).
-
RDS MySQL
– Create a VPC and an Amazon RDS DB instance in one template, with a password stored in Secrets Manager. In the application template, import database details from the VPC stack, read the password from Secrets Manager, and pass all connection configuration to the function in environment variables.


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flare-example-vignette.Rmd
This document serves as a users guide and a tutorial for the FLARE (Forecasting Lake and Reservoir Ecosystems) system (Thomas et al. 2020). FLARE generates forecasts and forecast uncertainty of water temperature and water quality for a 16-day time horizon at multiple depths of a lake or reservoir. It uses data assimilation to update the initial starting point for a forecast and the model parameters based a real-time statistical comparsions to observations. It has been developed, tested, and evaluated for Falling Creek Reservoir in Vinton,VA (Thomas et al. 2020).
FLARE is a set of R scripts that
FLARE uses the 1-D General Lake Model (Hipsey et al. 2019) as the mechanistic process model that predicts hydrodynamics of the lake or reservoir. For forecasts of water quality, it uses GLM with the Aquatic Ecosystem Dynamics library. The binaries for GLM and GLM-AED are included in the FLARE code that is available on GitHub. FLARE requires GLM version 3.1 or higher.
More information about the GLM can be found here:
FLARE development has been supported by grants from National Science Foundation (CNS-1737424, DEB-1753639, EF-1702506, DBI-1933016, DEB-1926050)
FLAREr
R packageFLAREr
dependenciesFirst, install the FLAREr
package from GitHub. There
will be other required packages that will also be downloaded.
remotes::install_github("flare-forecast/FLAREr")
Second, create a directory that will be your working directory for your FLARE run
lake_directory <- tempdir()
dir.create(file.path(lake_directory, "configuration/default"), recursive = TRUE)
dir.create(file.path(lake_directory, "targets")) # For QAQC data
dir.create(file.path(lake_directory, "drivers")) # Weather and inflow forecasts
First, FLAREr
requires two configuration yaml files. The
code below copies examples from the FLAREr
package.
file.copy(system.file("example", "configuration", "default", "configure_flare.yml", package = "FLAREr"), file.path(lake_directory, "configuration", "default", "configure_flare.yml"))
#> [1] TRUE
file.copy(system.file("example", "configuration", "default", "configure_run.yml", package = "FLAREr"), file.path(lake_directory, "configuration", "default", "configure_run.yml"))
#> [1] TRUE
Second, FLAREr
requires a set of configuration CSV
files. The CSV files are used to define the states that are simulated
and the parameters that are calibrated. The code below copies examples
from the FLAREr
package
file.copy(system.file("example", "configuration", "default", "parameter_calibration_config.csv", package = "FLAREr"), file.path(lake_directory, "configuration", "default", "parameter_calibration_config.csv"))
#> [1] TRUE
file.copy(system.file("example", "configuration", "default", "states_config.csv", package = "FLAREr"), file.path(lake_directory, "configuration", "default", "states_config.csv"))
#> [1] TRUE
file.copy(system.file("example", "configuration", "default", "depth_model_sd.csv", package = "FLAREr"), file.path(lake_directory, "configuration", "default", "depth_model_sd.csv"))
#> [1] TRUE
file.copy(system.file("example", "configuration", "default", "observations_config.csv", package = "FLAREr"), file.path(lake_directory, "configuration", "default", "observations_config.csv"))
#> [1] TRUE
Third, FLAREr requires GLM specific configurations files. For applications that require on water temperature, only the GLM namelist file is needed. Applications that require other water quality variables will require additional namelist files that are associated with the AED model.
file.copy(system.file("example", "configuration", "default", "glm3.nml", package = "FLAREr"), file.path(lake_directory, "configuration", "default", "glm3.nml"))
#> [1] TRUE
Since the FLAREr package for general application, scripts to download and process observation and drivers are not included in the package. Therefore the application of FLARE to a lake will require a set of additional scripts that are specific to the data formats for the lakes. The example includes files for application to FCR.
file.copy(from = system.file("example/targets", package = "FLAREr"), to = lake_directory, recursive = TRUE)
#> [1] TRUE
file.copy(from = system.file("example/drivers", package = "FLAREr"), to = lake_directory, recursive = TRUE)
#> [1] TRUE
First, FLAREr requires the observation file to have a specific name (observations_postQAQC_long.csv) and format.
head(read_csv(file.path(lake_directory,"targets/fcre/fcre-targets-insitu.csv"), show_col_types = FALSE))
#> # A tibble: 6 × 5
#> datetime site_id depth observation variable
#> <dttm> <chr> <dbl> <dbl> <chr>
#> 1 2018-07-06 00:00:00 fcre 0 30.4 temperature
#> 2 2018-07-07 00:00:00 fcre 0 29.1 temperature
#> 3 2018-07-08 00:00:00 fcre 0 28.5 temperature
#> 4 2018-07-09 00:00:00 fcre 0 28.5 temperature
#> 5 2018-07-10 00:00:00 fcre 0 29.0 temperature
#> 6 2018-07-11 00:00:00 fcre 0 29.3 temperature
The configuration functions are spread across the files. These files are described in more detail below
glm3.nml
configure_flare.yml
configure_run.yml
states_config.csv
observations_config.csv
parameter_calibration_config.csv
depth_model_sd.csv
This file is the configuration file that define the specific timing of the run.
restart_file
: This is the full path to the file that
you want to use as initial conditions for the simulation. You will set
this to NA
if the simulation is not a continuation of a
previous simulation.sim_name
: a string with the name of your simulation.
This will appear in your output file namesforecast_days
: This is your forecast horizon. The max
is 16
days. Set to 0
if only doing data
assimilation with observed drivers.start_datetime
: The date time of day you want to start
a forecast. Because GLM is a daily timestep model, the simulation will
start at this time. It uses YYYY-MM-DD mm:hh:ss
format and
must only be a whole hour. It is in the UTC time. It can be any hour if
only doing data assimilation with observed drivers (forecast_days = 0).
If forecasting (forecast_days > 0) it is required to match up with
the availability of a NOAA forecast. NOAA forecasts are available at the
following times UTC so you must select a local time that matches one of
these times (i.e., 07:00:00 at FCR is the 12:00:00 UTC NOAA forecast).
forecast_start_datetime
: The date that you want
forecasting to start in your simulation. Uses the YYYY-MM-DD mm:hh:ss
format (e.g., “2019-09-20 00:00:00”). The difference between
start_time
and forecast_start_datetime
determines how many days of data assimilation occur using observed
drivers before handing off to forecasted drivers and not assimilating
dataconfigure_flare
: name of FLARE configuration file
located in your configuration/[config_set]
directory
(configure_flare.yml
)configure_obs
: name of optional observation processing
configuration file located in your
configuration/[config_set]
directory
(configure_obs.yml
)use_s3
: use s3 cloud storage for saving forecast,
scores, and restart files.glm3.nml
is the configuration file that is required by
GLM. It can be configured to run only GLM or GLM + AED. This version is
already configured to run only GLM for FCR and you do not need to modify
it for the example simulation.
Read configuration files
The following reads in the configuration files and overwrites the directory locations based on the lake_directory and directories provided above. In practice you will specific these directories in the configure file and not overwrite them.
next_restart <- FLAREr::run_flare(lake_directory = lake_directory,configure_run_file = "configure_run.yml", config_set_name = "default")
#> Running forecast that starts on: 2022-09-28 00:00:00
#> Registered S3 method overwritten by 'quantmod':
#> method from
#> as.zoo.data.frame zoo
#> Using GLM Version 3.3.0a9
#> Running time step 1/20 : 2022-09-28 00:00 - 2022-09-29 00:00 [2023-05-16 13:08:16]
#> zone1temp: mean 11.0835 sd 1
#> zone2temp: mean 14.1078 sd 1
#> lw_factor: mean 1.014 sd 0.02
#> Running time step 2/20 : 2022-09-29 00:00 - 2022-09-30 00:00 [2023-05-16 13:08:22]
#> zone1temp: mean 11.4357 sd 1
#> zone2temp: mean 14.3982 sd 1
#> lw_factor: mean 1.0153 sd 0.02
#> Running time step 3/20 : 2022-09-30 00:00 - 2022-10-01 00:00 [2023-05-16 13:08:27]
#> zone1temp: mean 11.5957 sd 1
#> zone2temp: mean 14.1484 sd 1
#> lw_factor: mean 1.015 sd 0.02
#> Running time step 4/20 : 2022-10-01 00:00 - 2022-10-02 00:00 [2023-05-16 13:08:33]
#> zone1temp: mean 14.3807 sd 1
#> zone2temp: mean 14.8409 sd 1
#> lw_factor: mean 0.9935 sd 0.02
#> Running time step 5/20 : 2022-10-02 00:00 - 2022-10-03 00:00 [2023-05-16 13:08:39]
#> zone1temp: mean 15.1336 sd 1
#> zone2temp: mean 14.6204 sd 1
#> lw_factor: mean 0.9845 sd 0.02
#> Running time step 6/20 : 2022-10-03 00:00 - 2022-10-04 00:00 [2023-05-16 13:08:44]
#> zone1temp: mean 15.1336 sd 1
#> zone2temp: mean 14.6204 sd 1
#> lw_factor: mean 0.9845 sd 0.02
#> Running time step 7/20 : 2022-10-04 00:00 - 2022-10-05 00:00 [2023-05-16 13:08:50]
#> zone1temp: mean 15.1336 sd 1
#> zone2temp: mean 14.6204 sd 1
#> lw_factor: mean 0.9845 sd 0.02
#> Running time step 8/20 : 2022-10-05 00:00 - 2022-10-06 00:00 [2023-05-16 13:08:56]
#> zone1temp: mean 15.1336 sd 1
#> zone2temp: mean 14.6204 sd 1
#> lw_factor: mean 0.9845 sd 0.02
#> Running time step 9/20 : 2022-10-06 00:00 - 2022-10-07 00:00 [2023-05-16 13:09:02]
#> zone1temp: mean 15.1336 sd 1
#> zone2temp: mean 14.6204 sd 1
#> lw_factor: mean 0.9845 sd 0.02
#> Running time step 10/20 : 2022-10-07 00:00 - 2022-10-08 00:00 [2023-05-16 13:09:08]
#> zone1temp: mean 15.1336 sd 1
#> zone2temp: mean 14.6204 sd 1
#> lw_factor: mean 0.9845 sd 0.02
#> Running time step 11/20 : 2022-10-08 00:00 - 2022-10-09 00:00 [2023-05-16 13:09:14]
#> zone1temp: mean 15.1336 sd 1
#> zone2temp: mean 14.6204 sd 1
#> lw_factor: mean 0.9845 sd 0.02
#> Running time step 12/20 : 2022-10-09 00:00 - 2022-10-10 00:00 [2023-05-16 13:09:20]
#> zone1temp: mean 15.1336 sd 1
#> zone2temp: mean 14.6204 sd 1
#> lw_factor: mean 0.9845 sd 0.02
#> Running time step 13/20 : 2022-10-10 00:00 - 2022-10-11 00:00 [2023-05-16 13:09:25]
#> zone1temp: mean 15.1336 sd 1
#> zone2temp: mean 14.6204 sd 1
#> lw_factor: mean 0.9845 sd 0.02
#> Running time step 14/20 : 2022-10-11 00:00 - 2022-10-12 00:00 [2023-05-16 13:09:31]
#> zone1temp: mean 15.1336 sd 1
#> zone2temp: mean 14.6204 sd 1
#> lw_factor: mean 0.9845 sd 0.02
#> Running time step 15/20 : 2022-10-12 00:00 - 2022-10-13 00:00 [2023-05-16 13:09:37]
#> zone1temp: mean 15.1336 sd 1
#> zone2temp: mean 14.6204 sd 1
#> lw_factor: mean 0.9845 sd 0.02
#> Running time step 16/20 : 2022-10-13 00:00 - 2022-10-14 00:00 [2023-05-16 13:09:42]
#> zone1temp: mean 15.1336 sd 1
#> zone2temp: mean 14.6204 sd 1
#> lw_factor: mean 0.9845 sd 0.02
#> Running time step 17/20 : 2022-10-14 00:00 - 2022-10-15 00:00 [2023-05-16 13:09:48]
#> zone1temp: mean 15.1336 sd 1
#> zone2temp: mean 14.6204 sd 1
#> lw_factor: mean 0.9845 sd 0.02
#> Running time step 18/20 : 2022-10-15 00:00 - 2022-10-16 00:00 [2023-05-16 13:09:54]
#> zone1temp: mean 15.1336 sd 1
#> zone2temp: mean 14.6204 sd 1
#> lw_factor: mean 0.9845 sd 0.02
#> Running time step 19/20 : 2022-10-16 00:00 - 2022-10-17 00:00 [2023-05-16 13:09:59]
#> zone1temp: mean 15.1336 sd 1
#> zone2temp: mean 14.6204 sd 1
#> lw_factor: mean 0.9845 sd 0.02
#> Running time step 20/20 : 2022-10-17 00:00 - 2022-10-18 00:00 [2023-05-16 13:10:05]
#> zone1temp: mean 15.1336 sd 1
#> zone2temp: mean 14.6204 sd 1
#> lw_factor: mean 0.9845 sd 0.02
#> Writing netcdf
#> Writing arrow forecast
#> starting writing dataset
#> ending writing dataset
#> Scoring forecasts
#> Warning: There was 1 warning in `dplyr::mutate()`.
#> ℹ In argument: `depth = as.numeric(str_split_fixed(site_id, "-", 2)[, 2])`.
#> Caused by warning:
#> ! NAs introduced by coercion
#> Generating plot
#> temp
#> Warning: Removed 567 rows containing missing values (`geom_point()`).
#> salt
#> Warning: Removed 798 rows containing missing values (`geom_point()`).
#> zone1temp
#> zone2temp
#> lw_factor
#> extc
#> Warning: Removed 1 row containing missing values (`geom_line()`).
#> secchi
#> Warning: Removed 1 row containing missing values (`geom_line()`).
#> Warning: Removed 18 rows containing missing values (`geom_point()`).
#> Putting forecast
#> successfully generated flare forecats for: fcre-2022-10-02-test.nc
Visualizing output
df <- arrow::open_dataset(file.path(lake_directory,"forecasts/parquet")) |> collect()
head(df)
#> # A tibble: 6 × 12
#> datetime pubDate depth family parameter variable
#> <dttm> <dttm> <dbl> <chr> <int> <chr>
#> 1 2022-09-28 00:00:00 2023-05-16 17:10:11 0 ensemble 1 temperature
#> 2 2022-09-28 00:00:00 2023-05-16 17:10:11 0 ensemble 2 temperature
#> 3 2022-09-28 00:00:00 2023-05-16 17:10:11 0 ensemble 3 temperature
#> 4 2022-09-28 00:00:00 2023-05-16 17:10:11 0 ensemble 4 temperature
#> 5 2022-09-28 00:00:00 2023-05-16 17:10:11 0 ensemble 5 temperature
#> 6 2022-09-28 00:00:00 2023-05-16 17:10:11 0 ensemble 6 temperature
#> # ℹ 6 more variables: prediction <dbl>, forecast <dbl>, variable_type <chr>,
#> # site_id <chr>, model_id <chr>, reference_datetime <chr>
df |>
filter(variable == "temperature",
depth == 1) |>
ggplot(aes(x = datetime, y = prediction, group = parameter)) +
geom_line() +
geom_vline(aes(xintercept = as_datetime(reference_datetime))) +
labs(title = "1 m water temperature forecast")
df <- arrow::open_dataset(file.path(lake_directory,"scores/parquet")) |> collect()
head(df)
#> # A tibble: 6 × 18
#> datetime family variable observation crps logs mean median
#> <dttm> <chr> <chr> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 2022-09-28 00:00:00 sample extc NA NA NA NA NA
#> 2 2022-09-28 00:00:00 sample salt NA NA NA 0.100 0.100
#> 3 2022-09-28 00:00:00 sample tempera… 20.5 0.432 1.47 21.0 21.1
#> 4 2022-09-29 00:00:00 sample extc NA NA NA 0.87 0.87
#> 5 2022-09-29 00:00:00 sample salt NA NA NA 0.0994 0.0993
#> 6 2022-09-29 00:00:00 sample tempera… 19.6 0.0329 -0.956 19.6 19.6
#> # ℹ 10 more variables: sd <dbl>, quantile97.5 <dbl>, quantile02.5 <dbl>,
#> # quantile90 <dbl>, quantile10 <dbl>, horizon <dbl>, depth <dbl>,
#> # site_id <chr>, model_id <chr>, reference_datetime <chr>
df |>
filter(variable == "temperature",
depth == 1) |>
ggplot(aes(x = datetime)) +
geom_ribbon(aes(ymin = quantile10, ymax = quantile90), alpha = 0.5, fill = "lightblue") +
geom_line(aes(y = median)) +
geom_point(aes(y = observation), color = "red") +
geom_vline(aes(xintercept = as_datetime(reference_datetime))) +
labs(title = "1 m water temperature forecast")


Public Domain serverless codebase. If you would like to contribute to this public domanin project please open a Pull Request to the staging branch and we will review the code, request any changes, and potentially add you to the github organization
Node.js serverless codebase


About Me
Working out of Tempe, AZ, Natty Nerd is Daniel Naab.
Natty Nerd has mostly written desktop software (for places like these) but likes putzing around with the web as well.
If you are on the lookout for a web developer, desktop software guru, or general purpose code monkey, please feel free to contact Natty Nerd.


Justin Green
My name is Justin Green and I'm a vet. I like video games, baby carrots, and Game of Thrones.
Izzy Baer
My name is Izabella Baer and I'm a software developer. I'm from the east coast, I have a bachelors degree in Arabic and now I speak JavaScript too. I love animals (especially puppies, kittens, and goats), tiny houses, the outdoors, wine, food, and laying in the sun.
Tim Mitchell
My name is Tim Mitchell and I'm also a vet. I like to eat hella sushi and watch House of Cards.


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A summary of Data Science projects I've done on my free time :D
Start scrolling!This project takes a look at financial news headlines and analyse its sentiments
Using Decision Tree Classifier prediction model, this project predict whether a student will pass his/her final exam from personal data collected from school reports and questionnaires
Linear Regression model is utilized to predict the fuel efficiency of a car model based on known specification like engine displacement, cylinder and weight.


Select Your Lunch
Step 2
Please select your lunch for registered day. There will be no further costs for the lunch.
Step 1
Please select the day when you want to join BC Global Summit 2020
Step 2
Please select your lunch for registered day. There will be no further costs for the lunch.


Reducing SALT Observations
Due:1 Jun 2017
Description: The goal of this project is to reduce and analyze a set of SALT observations.
The data set can be downloaded from here . The basic processing has already been taken care of by SALT, only the spectroscopic reduction steps (wavelength calibration, sky subtraction, and extraction) need to be carried out. For best results, cosmic ray cleaning needs to be run on the data as well. The source of interest is the spectra in the middle of the frame.
Once the data have been reduced, main features and lines should be identified in the spectra, and the feature should be classified. For each of the lines, measure the wavelength center and total flux by fitting a Guassian to the line. From the wavelength center, estimate the redshift for the object. All values should be reported with uncertainties.
PySALT can be installed using anaconda and a PySALT tutorial is also available.
Submission: An ipython notebook or pdf report should be submitted with presenting your work and results. The final results should include the steps taken to reduce the spectra, the results, and how those results were derived. Please include the final spectra and any code written for the project.


25 November 2019
I tend to value compassion and honesty a lot as my personal values, I usually put other people before myself and find that when people around me are happy so am I. I’m quite emotionally driven which helps me relate to how others are feeling but also gets me stressed quite easily. A recent ethical situation I was put in was a friend of mine was having trouble in a relationship, giving him the cold truth about his situation and how it was affecting his life and the people around him was difficult but I knew he needed to hear it from someone. In the end one of the big reasons they broke up was because of that talk.
Culture may also have an affect on my personality, I’ve done a lot of traveling and lived in many places with international environments, this has probably shaped what a value.
By taking the Myers Briggs personality test I learnt that my personality matches an adventures personality which suggests I have strengths in being sensitive, passionate and imaginative, but also downfalls of too much independence and easily stressed. This shows that my strengths match my personal values.
I would say being imaginative and passionate will help my studies and allow me to push myself to achieve the goals I want.
In group environments where there is tension or resistance the best approach is to be open minded and have a good plan. Try to include everyone in the group and never disregard any ideas, by strategizing a plan and dividing the work fairly, a group can easily work together. I also find having someone take charge makes things go a lot smoother, the only issue is that I have noticed some people compete for this role.


|
Groovy JDK |
| Method Summary | |
|---|---|
boolean
|
asBoolean()
Coerce an iterator instance to a boolean value. |
Map
|
collectEntries(Closure transform)
A variant of collectEntries for Iterators. |
Map
|
collectEntries()
A variant of collectEntries for Iterators using the identity closure as the transform. |
Map
|
collectEntries(Map collector, Closure transform)
A variant of collectEntries for Iterators using a supplied map as the destination of transformed entries. |
Map
|
collectEntries(Map collector)
A variant of collectEntries for Iterators using the identity closure as the transform and a supplied map as the destination of transformed entries. |
List
|
collectMany(Closure projection)
Projects each item from a source iterator to a collection and concatenates (flattens) the resulting collections into a single list. |
Number
|
count(Object value)
Counts the number of occurrences of the given value from the items within this Iterator. |
Number
|
count(Closure closure)
Counts the number of occurrences which satisfy the given closure from the items within this Iterator. |
Map
|
countBy(Closure closure)
Sorts all iterator items into groups determined by the supplied mapping closure and counts the group size. |
Iterator
|
drop(int num)
Drops the given number of elements from the head of this iterator if they are available. |
Iterator
|
dropWhile(Closure condition)
Creates an Iterator that returns a suffix of the elements from an original Iterator. |
Object
|
getAt(int idx)
Support the subscript operator for an Iterator. |
Object
|
inject(Object initialValue, Closure closure)
Iterates through the given Iterator, passing in the initial value to the closure along with the first item. |
Iterator
|
iterator()
An identity function for iterators, supporting 'duck-typing' when trying to get an iterator for each object within a collection, some of which may already be iterators. |
String
|
join(String separator)
Concatenates the toString() representation of each
item from the iterator, with the given String as a separator between
each item.
|
Object
|
max()
Adds max() method to Iterator objects. |
Object
|
max(Closure closure)
Selects the maximum value found from the Iterator using the closure to determine the correct ordering. |
Object
|
max(Comparator comparator)
Selects the maximum value found from the Iterator using the given comparator. |
Object
|
min()
Adds min() method to Iterator objects. |
Object
|
min(Comparator comparator)
Selects the minimum value found from the Iterator using the given comparator. |
Object
|
min(Closure closure)
Selects the minimum value found from the Iterator using the closure to determine the correct ordering. |
Iterator
|
reverse()
Reverses the iterator. |
int
|
size()
Provide the standard Groovy size() method for Iterator .
|
Iterator
|
sort()
Sorts the given iterator items into a sorted iterator. |
Iterator
|
sort(Comparator comparator)
Sorts the given iterator items into a sorted iterator using the comparator. |
Iterator
|
sort(Closure closure)
Sorts the given iterator items into a sorted iterator using the Closure to determine the correct ordering. |
Object
|
sum()
Sums the items from an Iterator. |
Object
|
sum(Object initialValue)
Sums the items from an Iterator, adding the result to some initial value. |
Object
|
sum(Closure closure)
Sums the result of apply a closure to each item returned from an iterator. |
Object
|
sum(Object initialValue, Closure closure)
Sums the result of applying a closure to each item of an Iterator to some initial value. |
Iterator
|
take(int num)
Returns an iterator of up to the first num elements from this iterator.
|
Iterator
|
takeWhile(Closure condition)
Returns the longest prefix of elements in this iterator where each element passed to the given condition closure evaluates to true. |
List
|
toList()
Convert an iterator to a List. |
Set
|
toSet()
Convert an iterator to a Set. |
Iterator
|
unique()
Returns an iterator equivalent to this iterator all duplicated items removed by using the default comparator. |
Iterator
|
unique(Closure closure)
Returns an iterator equivalent to this iterator but with all duplicated items removed by using a Closure to determine duplicate (equal) items. |
Iterator
|
unique(Comparator comparator)
Returns an iterator equivalent to this iterator with all duplicated items removed by using the supplied comparator. |
| Method Detail |
|---|
public boolean asBoolean()
public Map collectEntries(Closure transform)
transform
- the closure used for transforming, which has an item from self as the parameter and
should return a Map.Entry, a Map or a two-element list containing the resulting key and value.public Map collectEntries()
public Map collectEntries(Map collector, Closure transform)
collector
- the Map into which the transformed entries are put.transform
- the closure used for transforming, which has an item from self as the parameter and
should return a Map.Entry, a Map or a two-element list containing the resulting key and value.public Map collectEntries(Map collector)
collector
- the Map into which the transformed entries are put.public List collectMany(Closure projection)
def numsIter = [1, 2, 3, 4, 5, 6].iterator() def squaresAndCubesOfEvens = numsIter.collectMany{ it % 2 ? [] : [it**2, it**3] } assert squaresAndCubesOfEvens == [4, 8, 16, 64, 36, 216]
projection
- a projecting Closure returning a collection of items.public Number count(Object value)
compareTo(value) == 0
or equals(value)
).
The iterator will become exhausted of elements after determining the count value.value
- the value being searched for.public Number count(Closure closure)
Example usage:
assert [2,4,2,1,3,5,2,4,3].toSet().iterator().count{ it % 2 == 0 } == 2
closure
- a closure condition.public Map countBy(Closure closure)
Example usage:
assert [1,2,2,2,3].toSet().iterator().countBy{ it % 2 } == [1:2, 0:1]
closure
- a closure mapping items to the frequency keys.public Iterator drop(int num)
num
elements.
def iteratorCompare( Iterator a, List b ) { a.collect { it } == b } def iter = [ 1, 2, 3, 4, 5 ].listIterator() assert iteratorCompare( iter.drop( 0 ), [ 1, 2, 3, 4, 5 ] ) iter = [ 1, 2, 3, 4, 5 ].listIterator() assert iteratorCompare( iter.drop( 2 ), [ 3, 4, 5 ] ) iter = [ 1, 2, 3, 4, 5 ].listIterator() assert iteratorCompare( iter.drop( 5 ), [] )
num
- the number of elements to drop from this iterator.num
elements if they exist.public Iterator dropWhile(Closure condition)
def a = 0 def iter = [ hasNext:{ a < 10 }, next:{ a++ } ] as Iterator assert [].iterator().dropWhile{ it < 3 }.toList() == [] assert [1, 2, 3, 4, 5].iterator().dropWhile{ it < 3 }.toList() == [ 3, 4, 5 ] assert iter.dropWhile{ it < 5 }.toList() == [ 5, 6, 7, 8, 9 ]
condition
- the closure that must evaluate to true to continue dropping elements.public Object getAt(int idx)
def iter = [2, "a", 5.3].iterator() assert iter[1] == "a"A more elaborate example:
def items = [2, "a", 5.3] def iter = items.iterator() assert iter[-1] == 5.3 // iter exhausted, so reset iter = items.iterator() assert iter[1] == "a" // iter partially exhausted so now idx starts after "a" assert iter[0] == 5.3
idx
- an index value (-self.size() <= idx < self.size()).public Object inject(Object initialValue, Closure closure)
initialValue
- some initial value.closure
- a closure.public Iterator iterator()
public String join(String separator)
toString()
representation of each
item from the iterator, with the given String as a separator between
each item. The iterator will become exhausted of elements after
determining the resulting conjoined value.separator
- a String separator.public Object max()
public Object max(Closure closure)
closure
- a Closure used to determine the correct ordering.public Object max(Comparator comparator)
comparator
- a Comparator.public Object min()
public Object min(Comparator comparator)
comparator
- a Comparator.public Object min(Closure closure)
closure
- a Closure used to determine the correct ordering.public Iterator reverse()
public int size()
size()
method for Iterator
.
The iterator will become exhausted of elements after determining the size value.public Iterator sort()
public Iterator sort(Comparator comparator)
comparator
- a Comparator used for comparing items.public Iterator sort(Closure closure)
closure
- a Closure used to determine the correct ordering.public Object sum()
public Object sum(Object initialValue)
initialValue
- the items in the collection will be summed to this initial value.public Object sum(Closure closure)
iter.sum(closure)
is equivalent to:
iter.collect(closure).sum()
. The iterator will become
exhausted of elements after determining the sum value.closure
- a single parameter closure that returns a numeric value..public Object sum(Object initialValue, Closure closure)
iter.sum(initVal, closure)
is equivalent to:
iter.collect(closure).sum(initVal)
. The iterator will become
exhausted of elements after determining the sum value.closure
- a single parameter closure that returns a numeric value..initialValue
- the closure results will be summed to this initial value.public Iterator take(int num)
num
elements from this iterator.
The original iterator is stepped along by num
elements.
def a = 0 def iter = [ hasNext:{ true }, next:{ a++ } ] as Iterator def iteratorCompare( Iterator a, List b ) { a.collect { it } == b } assert iteratorCompare( iter.take( 0 ), [] ) assert iteratorCompare( iter.take( 2 ), [ 0, 1 ] ) assert iteratorCompare( iter.take( 5 ), [ 2, 3, 4, 5, 6 ] )
num
- the number of elements to take from this iterator.num
elements of this iterator.public Iterator takeWhile(Closure condition)
def a = 0 def iter = [ hasNext:{ true }, next:{ a++ } ] as Iterator assert [].iterator().takeWhile{ it < 3 }.toList() == [] assert [1, 2, 3, 4, 5].iterator().takeWhile{ it < 3 }.toList() == [ 1, 2 ] assert iter.takeWhile{ it < 5 }.toList() == [ 0, 1, 2, 3, 4 ]
condition
- the closure that must evaluate to true to
continue taking elements.public List toList()
public Set toSet()
public Iterator unique()
public Iterator unique(Closure closure)
closure
- a Closure used to determine unique items.public Iterator unique(Comparator comparator)
comparator
- a Comparator.
|
Groovy JDK |


The Web Audio API introduces a variety of new audio features to the web
platform. It can be used with the canvas
2D and
WebGL
3D graphics APIs for creating a new generation of games
and interactive applications. The API is capable of dynamically
positioning/spatializing and mixing multiple sound sources in
three-dimensional space. It has a powerful modular routing system,
supporting effects, a convolution engine for room simulation, multiple
sends, submixes, etc. Scheduled sound playback is provided for musical
applications requiring a high degree of rhythmic precision. Realtime
analysis / visualizer support and direct JavaScript processing is also
supported.
These APIs are currently under development and are described in this specification document.
Please direct any feedback to the W3C audio mailing list -<EMAIL_ADDRESS>*** These samples require a browser which supports the Web Audio API. ***
Builds are available in stable releases of Chrome.
More cutting-edge builds are available in the Canary builds. Please be aware that the Canary builds are nightly builds which are not very well tested and can be unstable.
Web Audio is available in Apple Safari 6 in Mountain Lion, and in iOS 6.
More cutting-edge nightly builds are also available. For these builds, before running, it might be necessary to enable by going into the "Terminal" application and typing:
$ defaults write com.apple.Safari WebKitWebGLEnabled -bool YES $ defaults write com.apple.Safari WebKitWebAudioEnabled -bool YES $ defaults write com.apple.Safari com.apple.Safari.ContentPageGroupIdentifier.WebKit2WebAudioEnabled -bool YES $ defaults write com.apple.Safari com.apple.Safari.ContentPageGroupIdentifier.WebKit2WebGLEnabled -bool YES
Firefox has also started work on the Web Audio API, with cutting-edge builds available here.
|
Drum Machine
is an interactive musical application illustrating the concept of
"scheduled playback" where sounds can be sequenced very accurately
in time. A variety of special effects are available. Have fun with
the demo presets, then experiment with your own creations. Demo
courtesy of Ken Moore.
(old demo here) |
|
| Convolution Effects. The powerful convolution engine is able to reproduce the sound of just about any real-world acoustic space but is also able to create some interesting special effects such as backward reverbs and strange filters. | |
| WaveTable Synth is a four oscillator mono/poly synth. Have fun tweaking the delays and other controls. | |
| Digital DJ is a fun example where beat-matched loops may be loaded onto a left and right virtual turntable and controlled with a cross-fader, 2pole resonant filters, and an echo-delay effect. | |
| Granular Effects is another example of "scheduled playback" like Drum Machine. Here, the sound samples are small pieces (called "grains") taken from a larger sound buffer of a woman speaking. These small grains are then composited in various time sequences controllable by the sliders to achieve a crude but interesting time-stretching effect. Each of the grains may be changed in pitch, time, diffusion, and panning (positioning). | |
|
Realtime Analyser. is a
visualizer using WebGL.
Also check out a version of this which visualizes live audio input from your microphone or other audio source. This one currently only works in Mac Chrome Canary and requires enabling "Web Audio Input" in "about:flags": |
|
|
box2d is an example
of an interactive application with a real-time physics engine. You
can drop objects by clicking anywhere on the screen. The collisions
between the objects are accompanied by sound effects which take into
account the positions of the objects, as well as the force of the
impacts.
Physics engine courtesy of www.box2d.org. |
|
| Oscillators This is a basic example using three oscillators. | |
| FM Synthesis This shows off an FM structure, using three oscillators: two modulators and one carrier. | |
| Web MIDI API synth This subtractive synth can be played with the Web MIDI API , which is available as an experimental feature in Chrome Canary (currently OSX). To enable it, please go to "about:flags" and "Enable Web MIDI", then click on the "Relaunch" button at the bottom. | |
| Panning/Reverb This sample allows the user to move various sounds around in 3D space and explore different kinds of acoustic environments. | |
| 8-ball A virtual pool game complete with sound effects. It uses WebGL (originally ported from o3d). | |
|
JavaScript Processing
demonstrates how it's possible to do custom audio signal processing
directly in JavaScript. Here we're processing audio using a simple
amplitude modulator effect, then visualizing the results. It's
interesting to see how the side-bands move as the modulation
frequency is changed. |
|
|
Doppler Shift is a demo where an
object is animated around the listener and illustrates both 3D
spatialized positioning and doppler shifting, where the pitch of a
sound increases as it moves toward the listener and decreases as it
moves away. It's possible to change the trajectory of the object
left/right, front/back, and up/down, as well as to select some
parameters such as speed, pitch, and sound source. |


As global population increases, life expectancy rises, and living standards improve, causes of death across the world are changing. In this entry we present a global overview of the causes of death. The data visualisations and explainers in the early part of this entry attempt to provide a comparison between causes and risk factors of death across states and age groups. The sections which then follow explore the empirical data of specific causes in more detail.
Dataset for the analysis of death has taken from Indian gov website.The link is given in the resources section.


She do make my river An ocean. Memorial, Baptist, Protestant birth—my girl Walked away from a hurricane. & she do & she do & she do & she do She do take my hand a while longer. The haunts in my pocket I’ll keep to a hum: Katrina was a woman I knew. When you were an infant she rained on you & she do & she do & she do & she do


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My name is Ankit. I am an Engineering student at National Institute of Technology, Srinagar (India). Currently I am in the last year of my B.Tech. course in Computer Science Engineering.
I love to sketch and paint. I am also a flute player.  I am also a frequent user of 9GAG. Anything that relates to Science or Art is sufficient to gain my attention. I watch a lot of TV shows. I am also a good Web-designer. I love Chicken Shawarama.
Not to mention, I love to code.


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If you have any struggles or require extra assistance, the services below can provide huge amounts of help.
Make sure you click the orange headings if you would like to learn more about these services.
Student Central focuses on student support, experience, support, and services. The best student experience comes when you feel supported academically, professionlly, and socially. Student Central is the first point of call if you have any questions about literally anything to do with University and if they can't answer your question, they will lead you in the right direction to ensure your question gets answered.
IT Support can be contacted by reporting an issue online at serviceUON via the IT Support tile on myUON, or via phone from Monday-Friday 8am-6pm on 02 4921 7000. The problems IT Support can help you with include problems with student email, student accounts, computers, passwords, wireless networks, and downloading software.
If you're feeling overwhelmed about your courses, want to learn how to become organised, or think you might need help creating a plan of action for this semester, you can create a Prepare for Success plan! This plan can provide you with the help you need to succeed in your first semester. If you're unsure of what to put in it or want to seek some additional help with your plan, you can speak to a Student Progress Advisor and they will give you the extra help you require.
PASS stands for Peer Assisted Study Sessions. These free, online sessions are run by students who previously received high grades in your course. One hour of PASS study is the equivalent of three hours of solo study. You can ask questions, compare notes, and discuss your coursework with people who may offer different perspectives than your own. Majority of first year courses have PASS, so feel free to use this resource.
The University's Health Service is a fully accredited general practice staffed by doctors, nurses, and dentists who understand student's medical problems. If you ever have any health issues and seek the need of one of these professionals, be sure to contact them at any time. The medical centre is open to all Newcastle University students.
University semesters can be stressful, especially when at times you may feel like you have no time to complete your assignments or study for your exams. You may also be going through some hardships in life and need someone to talk to. The University's counselling service is free and confidential for all students who need help with personal or study related issues. Telephone and online counselling is also available if required.
If you are an Indigenous Australian, you will have heaps of support to help you succeed. Newcastle University can help you with financial assistance, specialised tutoring, and much more. The Wollotuka Institute has Indigenous staff to help you with all your needs.


Here are the list of professors you can contact! Click on their name to visit their page!
{% if profInfoList %} {% for profinfo in profInfoList %} {% endfor %} {% endif %}Lets get in touch if you have any questions/concerns! Send us a message:
New Jersey, US
Phone: +1<PHONE_NUMBER>
Email: shauryasr059@gmail.com


The 'New' New Microsoft
May 25, 2015 · 3 minute read · CommentsI’ve been a fan of Microsoft during my whole technical career. However I don’t recommend Microsoft any longer for server workloads, and haven’t for years due to the fact that the Linux ecosystem is far less expensive and has more innovative people working on it and sharing what they do openly. However, I am very impressed with the direction and leadership of Satya Nadella.
Windows Package Manager
In Windows 10 we are launching a new Package Management feature (formerly referred to as OneGet) that enables ITPros or DevOps to automate software discovery, installation, and inventory (SDII), locally or remotely, no matter what the installer technology is and where the software is located.
So why are we implementing Package Management? In the Linux world, people are familiar with package managers such as Apt-Get, YUM, RPM, etc, for different Linux distros. In the Windows world, however, there are quite a few installer technologies, each having their own way to install software, such as MSI, MSU, APPX, and the list goes on and on. This creates a challenge for ITPros and DevOps and a need for a tool to automate the software deployment experience. PackageManagement is aimed at solving this problem.
.NET for Linux and Mac
.NET Core supports Windows, OS X and Linux. You can write Universal apps on Windows 10 and ASP.NET 5 and Console apps on all of the three OSes. FreeBSD support is in progress, led by the .NET open source community. We expect that the community will create other OS ports. In fact, the OS X port has also been community led.
.NET Core supports x86, x64 and ARM CPUs in order to support device, cloud and console app scenarios. We expect that to see more chips come online, particularly given the LLILC LLVM integration project. LLILC will (in theory) make it possible to port .NET Core to all of the chips that LLVM supports.
The .NET Core is open source on GitHub!
Visual Studio Code
This marks the first time that Microsoft offers developers a true cross-platform code editor. The full Visual Studio is still Windows-only, but today’s announcement shows the company’s commitment to supporting other platforms. What is really fascinating is they built it with SAME basic architecture as GitHub’s Atom editor!
Architecturally, Visual Studio Code combines the best of web, native, and language-specific technologies. Using the GitHub Electron Shell, Code combines web technologies such as JavaScript and Node.js with the speed and flexibility of native apps. Code uses a newer, faster version of the same industrial-strength HTML-based editor that has powered the “Monaco” cloud editor, Internet Explorer’s F12 Tools, and other projects. And Code uses a tools service architecture that enables it to use many of the same technologies that power Visual Studio, including Roslyn for .NET, TypeScript, the Visual Studio debugging engine, and more. In future previews, as we continue to evolve and refine this architecture, Visual Studio Code will include a public extensibility model that lets developers build and use plug-ins, and richly customize their edit-build-debug experience.
This is all incredible coming from Microsoft. Way to go!
Sources:


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{% load staticfiles %}
| Full Name | Roll Number | Class | Father's Name | Mother's Name | Father's Phone Number | Teacher Name |
|---|---|---|---|---|---|---|
| {{ student.full_name }} | {{ student.rollno }} | {{ student.class_studying }} | {{ student.father_name }} | {{ student.mother_name }} | {{ student.father_phn }} | {{ student.teacher.name }} |


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Karnataka: CM Yediyurappa Inaugurates Kalaburagi Airport Under Centre’s UDAN Scheme
by Swarajya StaffBolstering air connectivity in the Karnataka State's northern regions, Chief Minister (CM) BS Yediyurappa on Friday (22 November) inaugurated the Kalaburagi airport with the arrival of a direct flight from the State's capital Bengaluru, reports Asian News International (ANI).
Situated about 14 kilometers away from the main city area, the airport will provide a major connectivity boost between Kalaburagi and State headquarters and other major commercial sectors.
Built by the Airports Authority of India (AAI) under the Union Government's Ude Desh Ka Aam Nagrik (UDAN) scheme, the Kalaburagi airport comes to life after the AAI successfully operationalised airports in State's cities of Hubli and Belgaum.
Expressing delight on the launch of the airport, AAI chairman Arvind Singh expressed confidence that the city of Kalaburagi will have even more flights operating from the airport, easing the long commute that passengers had to undergo earlier.


Data returned using AJAX get() method from the database below:
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UNIT 1 - THE BASICS OF THE WEB
1.   INTERNET- THE WORLDS LARGEST COMPUTER NETWORK3.  TEXT CONTENT (LIKE WHAT YOUR READING NOW)
<NAME>CONTENT</NAME>
3.REFERENCES TO OTHER DOCUMENTS


About me
Average guy with not so average dreams . . .
Before standing out of the crowd, I like to stay inside and learn about it.
Ventured into the computer world in my 11th grade
and since then trying
to contribute to it.
I enjoy watching movies, reading books and procrastinating ;)
Fast learner, hard worker and team player who is proficient
in an array of
Android Development, Web Development
and Python Scripting..
Experience
RAIT Bitcamp Finalist
2019
Developed an application for Electronic Health Record
Winner of NEC
2018
NEC is National Entrepreneurship Challenge
hosted by IIT Bombay.
Smart India Hackathon Finalist
2017-2018
I was part of team of 6. We had developed
an android application for disaster management
Education
Datta Meghe College of Engineering , Airoli
2017-
New English High School and Jr. College
2015-2017
Ulhas Vidyalaya School
2015
Skills
Python
Django
JavaScript
Android
HTML/CSS


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| I l@ve RuBoard |
The C++ standard library provides different container types with different abilities. The question now is: When do you use which container type? Table 6.9 provides an overview. However, it contains general statements that might not fit in reality. For example, if you manage only a few elements you can ignore the complexity because short element processing with linear complexity is better than long element processing with logarithmic complexity.
As a supplement to the table, the following rules of thumb might help:
By default, you should use a vector. It has the simplest internal data structure and provides random access. Thus, data access is convenient and flexible, and data processing is often fast enough.
If you insert and/or remove elements often at the beginning and the end of a sequence, you should use a deque. You should also use a deque if it is important that the amount of internal memory used by the container shrinks when elements are removed. Also, because a vector usually uses one block of memory for its elements, a deque might be able to contain more elements because it uses several blocks.
If you insert, remove, and move elements often in the middle of a container, consider using a list. Lists provide special member functions to move elements from one container to another in constant time. Note, however, that because a list provides no random access, you might suffer significant performance penalties on access to elements inside the list if you only have the beginning of the list.
Like all node-based containers, a list doesn't invalidate iterators that refer to elements, as long as those elements are part of the container. Vectors invalidate all of their iterators, pointers, and references whenever they exceed their capacity, and part of their iterators, pointers, and references on insertions and deletions. Deques invalidate iterators, pointers, and references when they change their size, respectively.
If you need a container that handles exceptions in a way that each operation either succeeds or has no effect, you should use either a list (without calling assignment operations and sort() and, if comparing the elements may throw, without calling merge (), remove(), remove_if(), and unique(); see page 172) or an associative container (without calling the multiple-element insert operations and, if copying/assigning the comparison criterion may throw, without calling swap()). See Section 5.11.2, for a general discussion of exception handling in the STL and Section 6.10.10, for a table of all container operations with special guarantees in face of exceptions.
If you often need to search for elements according to a certain criterion, use a set or a multiset that sorts elements according to this sorting criterion. Keep in mind that the logarithmic complexity involved in sorting 1,000 elements is in principle ten times better than that with linear complexity. In this case, the typical advantages of binary trees apply.
A hash table commonly provides five to ten times faster lookup than a binary tree. So if a hash container is available, you might consider using it even though hash tables are not standardized. However, hash containers have no ordering, so if you need to rely on element order they're no good. Because they are not part of the C++ standard library, you should have the source code to stay portable.
To process key/value pairs, use a map or a multimap (or the hash version, if available).
If you need an associative array, use a map.
If you need a dictionary, use a multimap.
| Vector | Deque | List | Set | Multiset | Map | Multimap | |
| Typical internal data structure | Dynamic array | Array of arrays | Doubly linked list | Binary tree | Binary tree | Binary tree | Binary tree |
| Elements | Value | Value | Value | Value | Value | Key/value pair | Key/value pair |
| Duplicates allowed | Yes | Yes | Yes | No | Yes | Not for the key | Yes |
| Random access available | Yes | Yes | No | No | No | With key | No |
| Iterator category | Random access | Random access | Bidirectional | Bidirectional (element constant) | Bidirectional (element constant) | Bidirectional (key constant) | Bidirectional (key constant) |
| Search/find elements | Slow | Slow | Very slow | Fast | Fast | Fast for key | Fast for key |
| Inserting/removing of elements is fast | At the end | At the beginning and the end | Anywhere | — | — | — | — |
| Inserting/removing invalidates iterators, references, pointers | On reallocation | Always | Never | Never | Never | Never | Never |
| Frees memory for removed elements | Never | Sometimes | Always | Always | Always | Always | Always |
| Allows memory reservation | Yes | No | — | — | — | — | — |
| Transaction safe (success or no effect) | Push/pop at the end | Push/pop at the beginning and the end | All except sort() and assignments | All except multiple-element insertions | All except multiple-element insertions | All except multiple-element insertions | All except multiple-element insertions |
A problem that is not easy to solve is how to sort objects according to two different sorting criteria. For example, you might have to keep elements in an order provided by the user while providing search capabilities according to another criterion. And as in databases, you need fast access regarding two or more different criteria. In this case, you could probably use two sets or two maps that share the same objects with different sorting criteria. However, having objects in two collections is a special issue, which is covered in Section 6.8.
The automatic sorting of associative containers does not mean that these containers perform better when sorting is needed. This is because an associative container sorts each time a new element gets inserted. An often faster way is to use a sequence container and to sort all elements after they are all inserted by using one of the several sort algorithms (see Section 9.2.2).
The following are two simple programs that sort all strings read from the standard input and print them without duplicates by using two different containers:
Using a set:
// cont/sortset.cpp #include <iostream> #include <string> #include <algorithm> #include <set> using namespace std; int main() { /*create a string set *-initialized by all words from standard input */ set<string> coll((istream_iterator<string>(cin)), (istream_iterator<string>())); //print all elements copy (coll.begin(), coll.end(), ostream_iterator<string>(cout, "\n")); }
Using a vector:
// cont/sortvec.cpp #include <iostream> #include <string> #include <algorithm> #include <vector> using namespace std; int main() { /*create a string vector *-initialized by all words from standard input */ vector<string> coll((istream_iterator<string>(cin)), (istream_iterator<string>())); //sort elements sort (coll.begin(), coll.end()); //print all elements ignoring subsequent duplicates unique_copy (coll.begin(), coll.end(), ostream_iterator<string>(cout, "\n")); }
When I tried both programs with about 150,000 strings on my system, the vector version was approximately 10% faster. Inserting a call of reserve() made the vector version 5% faster. Allowing duplicates (using a multiset instead of a set and calling copy() instead of unique_copy() respectively) changed things dramatically: The vector version was more than 40% faster! These measurements are not representative; however, they do show that it is often worth trying different ways of processing elements.
In practice, predicting which container type is the best is often difficult. The big advantage of the STL is that you can try different versions without much effort. The major work— implementing the different data structures and algorithms— is done. You have only to combine them in a way that is best for you.
| I l@ve RuBoard |


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Chile minister expects job losses, fuel hike in wake of protests
Chile’s finance minister predicted that as many as 300,000 jobs could be lost because of the impact of four weeks of rioting in one of Latin America’s strongest economies, Reuters reports.
Newly appointed Finance Minister Ignacio Briones told a legislative committee on Thursday it was “highly likely” unemployment would jump 3 percent in the coming months, Diario Financiero reported.
The peso currency, which hit a historic low on Thursday, also raised the specter of a hike in fuel costs, Briones told reporters outside the committee.
“Fuel prices are going to rise, it can’t be any other way,” he said.
The past month’s protests started over a hike in public transport fares but have broadened to encompass grievances over low wages, the high cost of living and social inequality.
Demonstrators gathered in public squares on Thursday for another round of protests, which have paralyzed daily life. At least 24 people have died and thousands injured in clashes between protesters and police.
President Sebastián Piñera announced a state of emergency as riots took hold, then a costly new social plan. He reshuffled his government and appealed for Chileans to subscribe to national accords around justice, equality and peace.
The police have been criticized for their handling of the demonstrations, with medical experts saying that more than 200 protesters have suffered eye injuries or been blinded by tear gas canisters and rubber bullets. This week, the police chief said he would fit firearms officers with surveillance cameras and deploy more human rights experts.
– Contact us at<EMAIL_ADDRESS>RC/CG


Eric Fung
I’m a digital designer and front-end developer currently residing in Chicago.
Design & Front-End


Books by JN Chaney
The Last Reaper
Renegade Star
Renegade Origins
Orion Colony
The Varieant Saga
The Fifth Column
Stand Alone Works
REAPER
STAR
ORIGINS
ORION
VARIANT
COLUMN
STAND ALONE


Tweets
Dentist j said "I'm not some naive dentist"
— mani (@Deezius) May 23, 2015
calling things social constructs is a social construct
— mani (@Deezius) June 10, 2015
social capital a la mode, thanks
— mani (@Deezius) June 10, 2015
i identify as a member of asparagus twitter, bc i love asparagus
— mani (@Deezius) June 11, 2015
a pronoun is a professional noun
— mani (@Deezius) June 9, 2015
the violent act of citing mostly black thinkers and writers in ur shittty white writing does not make it any less boring or violent
— mani (@Deezius) June 5, 2015
artists aren't great at writing poetry but neither are poets so it's all good
— mani (@Deezius) May 29, 2015


Void QuantConnect.Algorithm.QCAlgorithm.Log (
PyObject
message
)
Added another method for logging if user guessed.
Void QuantConnect.Algorithm.QCAlgorithm.Log (
String
message
)
Added another method for logging if user guessed.
Void QuantConnect.Algorithm.QCAlgorithm.Log (
Int32
message
)
Added another method for logging if user guessed.
Void QuantConnect.Algorithm.QCAlgorithm.Log (
Double
message
)
Added another method for logging if user guessed.
Void QuantConnect.Algorithm.QCAlgorithm.Log (
Decimal
message
)
Added another method for logging if user guessed.


Hi everyone! My name is Vlad and I am pleased to meet everyone.
I'm 25, married. Originally, I come from a county called Moldova, which is located in Eastern Europe. I've lived in U.S. for almost 10 years. I'm now located in Concord, CA (about 30 minutes away from SF). I'm a big soccer fan. Also, know a lot about hockey and used to play it myself back in the day. Really enjoy studying history. Like both cats and dogs.
My Approximate Location
This is Me


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Welcome to the most advanced calculator on Earth
What is your name, human?
Give me the numbers!
Run algorithm


Master SettingsClick here in order list rooms that should NEVER be seen, regardless of the realm selected and choose the default layout for some screens. |
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Realm ControlsClick here in order to create, delete, and manage your personal realms |
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Realm OrderClick here to change the order in which realms are displayed. |
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Backup and RestoreClick here to backup or restore ChatPlus data |
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--- layout: post title: 12 Best Node.js-based CMS as of 2020 - Slant date: '2020-03-04T17:14:00.001+05:30' author: Sahil Rajput tags: modified_time: '2020-03-04T17:14:13.574+05:30' blogger_id: tag:blogger.com,1999:blog-5250005448924290719.post-8287444296127456773 blogger_orig_url: https://www.jaadujinn.ml/2020/03/12-best-nodejs-based-cms-as-of-2020.html ---


Estero High employee arrested for robbery, could be fired from job
by WFTX Digital TeamLEE COUNTY, Fla. -- An Estero High School employee could be fired Tuesday after getting arrested for armed robbery.
Shantell Thomas was arrested back in August, and has been in jail since then.
In public documents, the school board says she admitted to committing robberies, car burglaries, and stealing cars for about two months.
She has been suspended without pay since early September.
There will be a special session to determine her fate.