mygis.Drawing.Editing Class
Editing existing features functions
Item Index
Methods
- addDigiDefaults
- attachFieldsToFeature
- checkValidInfo
- clearDigiPopup
- createFieldDiv
- createFileGrid
- createImageGrid
- digiPopupResult
- editLayer
- fileAttached
- fileDetach
- fileDownload
- fileGridCheckAll
- fileGridCheckClicked
- fileGridSelected
- fileGridUnselected
- fillDigiPopup
- getFinalChanges
- getInputType
- handlerAttachFile
- handlerAttachImage
- imageAttached
- imageDetach
- imageDownload
- imageGridCheckAll
- imageGridCheckClicked
- imageGridUnselected
- imageGridUnselected
- imageZoom
- isFilledIn
- isValidOutput
- mg_removeFeature
- refreshFileGrid
- refreshImageGrid
- refreshImageSlider deprecated
- removeFeatureFromChange
- switchToTab
Methods
addDigiDefaults
()
Adds default UI to editDigitize popup. Used after clearing.
attachFieldsToFeature
()
Attaches fields to last created feature
checkValidInfo
()
Boolean
Checks if the input in the editDigitize popup is valid
Returns:
clearDigiPopup
()
Clears the contents of the editDigitize popup
createFieldDiv
-
field
-
type
-
Reserved
Creates an input for a field of the editDigitize popup
Parameters:
-
field
ObjectThe field object
-
type
StringThe field type. One of text,dropdown,datetime
-
Reserved
Objectfor future use
Returns:
createFileGrid
()
Creates the file grid for editDigitize
createImageGrid
()
Creates the image grid for editDigitize
digiPopupResult
()
Called when the user presses save/cancel at the editDigitize popup
editLayer
-
layername
Edits the given layer. Retrieves features via WFS.
Parameters:
-
layername
StringThe layer name to search for
fileAttached
-
result
"Remembers" the files attached to the feature and displays a list
Parameters:
-
result
String
fileDetach
()
Used to remove a file from the "to be attached" array
fileDownload
-
The
Used to download a file
Parameters:
-
The
Elementcalling element
fileGridCheckAll
-
elem
Handles the check all button for the fileGrid in editDigitize
Parameters:
-
elem
ElementThe firing checkbox
fileGridCheckClicked
-
elem
Handles the checking of the fileGrid row in editDigitize
Parameters:
-
elem
ElementThe firing element
fileGridSelected
()
Activates/deactivates some buttons when a file is selected in the editDigitize popup
fileGridUnselected
()
Activates/deactivates some buttons when a file is unselected in the editDigitize popup
fillDigiPopup
-
dataColumns
-
layername
Fills in the editDigitize popup
Parameters:
-
dataColumns
Array -
layername
String
getFinalChanges
()
Object
Gathers the features to modify/delete/insert
Returns:
getInputType
-
field
Returns the type of input box to create based on field type
Parameters:
-
field
Object
Returns:
handlerAttachFile
()
Handles the "Attach File" button click
handlerAttachImage
()
Handles the "Attach Image" button click
imageAttached
-
result
"Remembers" the images attached to the feature and displays a gallery
Parameters:
-
result
String
imageDetach
()
Used to remove an image from the "to be attached" array
imageDownload
-
The
Used to download an image
Parameters:
-
The
Elementcalling element
imageGridCheckAll
-
elem
Handles the check all button for the imageGrid in editDigitize
Parameters:
-
elem
ElementThe firing checkbox
imageGridCheckClicked
-
elem
Handles the checking of the imageGrid row in editDigitize
Parameters:
-
elem
ElementThe firing element
imageGridUnselected
()
Activates/deactivates some buttons when an image is selected in the editDigitize popup
imageGridUnselected
()
Activates/deactivates some buttons when an image is unselected in the editDigitize popup
imageZoom
-
The
Used to view fully an image
Parameters:
-
The
Elementcalling element
isFilledIn
-
data
Returns true if at least one data property is not empty
Parameters:
-
data
Object
isValidOutput
-
field
-
destination
Checks if the field should be output to the UI. Example of fields that are excluded: OID, Geometry
Parameters:
-
field
Object -
destination
StringOne of "fields","images","files","links"
Returns:
mg_removeFeature
()
Removes a selected feature from the map
refreshFileGrid
()
Creates/refreshes a file grid for editDigitize popup
refreshImageGrid
()
Creates/refreshes an image grid for editDigitize popup
refreshImageSlider
()
deprecated
Creates/refreshes an image slider for editDigitize popup
removeFeatureFromChange
-
feature
-
featureArray
Removes a given feature from the given 'change' array
Parameters:
-
feature
ObjectThe feature to remove
-
featureArray
ObjectThe array to remove it from
switchToTab
-
index
Switches the active tab to the given index.
Parameters:
-
index
Integer


The k-Truss plugin is used to find highly connected groups of nodes in a graph. The plugin will assign an integer attribute "highest k-truss" to each node and transaction. This value will be the largest value of k for which the node/transaction is in a k-truss (see below for an explanation of k-trusses). This attribute can be used like a cluster attribute, but perhaps more useful is the ability to explore the k-trusses in the graph using the K-Truss Visibility panel. This panel is opened automatically after running the K-Truss plugin, but can be accessed at any time from the menu via "Tools → Clustering → K-Truss". Note that it is disabled for a graph unless the K-Truss plugin has previously been run on that graph.
For some whole number k, bigger than or equal to 3, a k-Truss is a graph (or part thereof) where every transaction lies in at least k-2 triangles. For example, in a 3-truss every transaction lies in at least 1 triangle, while in a 4-truss, every transaction lies in at least 2 triangles. There is no upper limit on the number of nodes in a k-truss, but it must have at least k nodes, otherwise there are not enough triangles. A k-truss captures the idea of a group of nodes with a particular level of interconnectivity - the higher the value of k is, the greater the interconnection between nodes. Note that a k-truss is also a j-truss for all values of j which are smaller than k.
The K-Truss Visibility panel contains a number of features for visualising k-trusses and the relationships between them. The simplest and most useful feature is the visibility slider.
The visibility slider ranges over all possible values of k for viewing k-trusses in the graph. Dragging the slider to a specific value of k will display only nodes and transactions which are in a k-truss. Nodes which are not displayed will be either dimmed (default) or hidden. The slider starts at 3, the lowest possible value of k. There is also an "all" value which displays the entire graph. The numbers in bold show where the display will change. For example if 5 is in bold, then there are 5-trusses in the graph which are not 6-trusses, and hence dragging the slider from 5 to 6 will change the display. If 5 was not bold, it would mean that all 5-trusses are also 6-trusses, and hence dragging the slider from 5 to 6 will not change the display. You should gradually move the slider to higher values in bold, so as to focus on smaller and more highly connected parts of the graph.
The two radio buttons allow you to dynamically switch between dimming (default) or hiding the nodes and transactions which would not be displayed based on the visibility slider's current position. You should use dimming to get an idea of where k-trusses fit in to the graph as a whole. Hiding is more useful when you want to only look at the k-trusses for some value of k.
This option allows you to select all the nodes and transactions which are being displayed by the visibility slider. You are then able to use this selection as you would any other selection. You might find it useful to open the selection in another graph (Ctrl+U) for closer analysis of the k-trusses.
This button allows you to color the k-trusses in your graph with a different color for each k. This means for example, that if a 4-truss contains a smaller 5-truss, then the nodes and transactions in the 4-truss but not the 5-truss will be a different color to those in both the 4-truss and the 5-truss. This button acts as a toggle, allowing you to return to your original coloring. You should use this feature if you want to see how more highly connected parts of your graph are nested inside less highly connected parts.
Pressing the down arrow beneath the visibility slider on the left will expand the panel to reveal a display of rectangles arranged in columns beneath the slider. The columns line up with the numbers on the slider. The column below the number k has a rectangle for every connected component of the k-truss in the graph. The height of the rectangles is proportional to the number of nodes in the connected component they represent. You can see that as you move to higher values of k, the number and size of the rectangles decreases. You can use this panel to visualise how the k-trusses nest inside each other, as well as their relative sizes. Clicking the up arrow button will hide the panel again.
This is a toggle button which if set will show connected components in the "all" column, that is connected components of the entire graph as well as connected components of the k-trusses. This will rescale all the rectangles so that their heights are now proportional to the total number of nodes in the graph, rather than the total number of nodes in some k-truss. You should only use this option if a large proportion of the nodes in your graph are in k-trusses. Note that this button is disabled when the nested trusses display panel is hidden.


|
HYTOOL Function Reference |
Contents
Version 2.06 12-nov-2017
by Philippe Renard and Co.
Hytool is a matlab toolbox that provides an open environement for the
interpretation of hydraulic tests.
The toolbox contains some of the most usual analytical solutions used
to describe groundwater flow around wells, as well as functions for
importing, displaying the data, and fitting a model to the data.
One of the main interest of hytool is that it can be extended by the
user to include additional solutions when they are required.
Help and Demos are availble through the Help browser
© 1998-2017 Philppe Renard and Co.
Terms of Use
Acknowledgments


Spark Release 2.4.8
Spark 2.4.8 is a maintenance release containing stability, correctness, and security fixes. This release is based on the branch-2.4 maintenance branch of Spark. We strongly recommend all 2.4 users to upgrade to this stable release.
Notable changes
- [SPARK-21492]: Fix memory leak in SortMergeJoin
- [SPARK-25271]: Creating parquet table with all the column null throws exception
- [SPARK-26625]: spark.redaction.regex should include oauthToken
- [SPARK-26645]: CSV infer schema bug infers decimal(9,-1)
- [SPARK-27575]: Spark overwrites existing value of spark.yarn.dist.* instead of merging value
- [SPARK-27872]: Driver and executors use a different service account breaking pull secrets
- [SPARK-29574]: spark with user provided hadoop doesn’t work on kubernetes
- [SPARK-30201]: HiveOutputWriter standardOI should use ObjectInspectorCopyOption.DEFAULT
- [SPARK-32635]: When pyspark.sql.functions.lit() function is used with dataframe cache, it returns wrong result
- [SPARK-32708]: Query optimization fails to reuse exchange with DataSourceV2
- [SPARK-32715]: Broadcast block pieces may memory leak
- [SPARK-32738]: thread safe endpoints may hang due to fatal error
- [SPARK-32794]: Rare corner case error in micro-batch engine with some stateful queries + no-data-batches + V1 streaming sources
- [SPARK-32815]: Fix LibSVM data source loading error on file paths with glob metacharacters
- [SPARK-32836]: Fix DataStreamReaderWriterSuite to check writer options correctly
- [SPARK-32872]: BytesToBytesMap at MAX_CAPACITY exceeds growth threshold
- [SPARK-32900]: UnsafeExternalSorter.SpillableIterator cannot spill when there are NULLs in the input and radix sorting is used.
- [SPARK-32901]: UnsafeExternalSorter may cause a SparkOutOfMemoryError to be thrown while spilling
- [SPARK-32908]: percentile_approx() returns incorrect results
- [SPARK-32999]: TreeNode.nodeName should not throw malformed class name error
- [SPARK-33094]: ORC format does not propagate Hadoop config from DS options to underlying HDFS file system
- [SPARK-33101]: LibSVM format does not propagate Hadoop config from DS options to underlying HDFS file system
- [SPARK-33131]: Fix grouping sets with having clause can not resolve qualified col name
- [SPARK-33136]: Handling nullability for complex types is broken during resolution of V2 write command
- [SPARK-33183]: Bug in optimizer rule EliminateSorts
- [SPARK-33230]: FileOutputWriter jobs have duplicate JobIDs if launched in same second
- [SPARK-33268]: Fix bugs for casting data from/to PythonUserDefinedType
- [SPARK-33277]: Python/Pandas UDF right after off-heap vectorized reader could cause executor crash.
- [SPARK-33292]: Make Literal ArrayBasedMapData string representation disambiguous
- [SPARK-33338]: GROUP BY using literal map should not fail
- [SPARK-33339]: Pyspark application will hang due to non Exception
- [SPARK-33372]: Fix InSet bucket pruning
- [SPARK-33472]: IllegalArgumentException when applying RemoveRedundantSorts before EnsureRequirements
- [SPARK-33588]: Partition spec in SHOW TABLE EXTENDED doesn’t respect
spark.sql.caseSensitive
- [SPARK-33593]: Vector reader got incorrect data with binary partition value
- [SPARK-33726]: Duplicate field names causes wrong answers during aggregation
- [SPARK-33733]: PullOutNondeterministic should check and collect deterministic field
- [SPARK-33756]: BytesToBytesMap’s iterator hasNext method should be idempotent.
- [SPARK-34125]: Make EventLoggingListener.codecMap thread-safe
- [SPARK-34187]: Use available offset range obtained during polling when checking offset validation
- [SPARK-34212]: For parquet table, after changing the precision and scale of decimal type in hive, spark reads incorrect value
- [SPARK-34229]: Avro should read decimal values with the file schema
- [SPARK-34260]: UnresolvedException when creating temp view twice
- [SPARK-34273]: Do not reregister BlockManager when SparkContext is stopped
- [SPARK-34318]: Dataset.colRegex should work with column names and qualifiers which contain newlines
- [SPARK-34327]: Omit inlining passwords during build process.
- [SPARK-34596]: NewInstance.doGenCode should not throw malformed class name error
- [SPARK-34607]: NewInstance.resolved should not throw malformed class name error
- [SPARK-34724]: Fix Interpreted evaluation by using getClass.getMethod instead of getDeclaredMethod
- [SPARK-34726]: Fix collectToPython timeouts
- [SPARK-34776]: Catalyst error on on certain struct operation (Couldn’t find gen_alias)
- [SPARK-34811]: Redact fs.s3a.access.key like secret and token
- [SPARK-34855]: SparkContext - avoid using local lazy val
- [SPARK-34876]: Non-nullable aggregates can return NULL in a correlated subquery
- [SPARK-34909]: conv() does not convert negative inputs to unsigned correctly
- [SPARK-34939]: Throw fetch failure exception when unable to deserialize broadcasted map statuses
- [SPARK-34963]: Nested column pruning fails to extract case-insensitive struct field from array
- [SPARK-35080]: Correlated subqueries with equality predicates can return wrong results
- [SPARK-35278]: Invoke should find the method with correct number of parameters
- [SPARK-35288]: StaticInvoke should find the method without exact argument classes match
Dependency Changes
Known issues
You can consult JIRA for the detailed changes.
We would like to acknowledge all community members for contributing patches to this release.
Spark News Archive


Timothy choi is a student attending Univeristy of California San Deigo. He is currently majoring in Computer Science


Extending the base classes and methods of EnsembleBase package for Penalized-Regression-based (Ridge and Lasso) integration of base learners. Default implementation uses cross-validation error to choose the optimal lambda (shrinkage parameter) for the final predictor. The package takes advantage of the file method provided in EnsembleBase package for writing estimation objects to disk in order to circumvent RAM bottleneck. Special save and load methods are provided to allow estimation objects to be saved to permanent files on disk, and to be loaded again into temporary files in a later R session. Users and developers can extend the package by extending the generic methods and classes provided in EnsembleBase package as well as this package.
| Version: | 0.7 |
| Depends: | EnsembleBase |
| Imports: | parallel, methods, glmnet |
| Published: | 2016-09-14 |
| Author: | Mansour T.A. Sharabiani, Alireza S. Mahani |
| Maintainer: | Alireza S. Mahani <alireza.s.mahani at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Materials: | ChangeLog |
| CRAN checks: | EnsemblePenReg results |
| Reference manual: | EnsemblePenReg.pdf |
| Package source: | EnsemblePenReg_0.7.tar.gz |
| Windows binaries: | r-devel: EnsemblePenReg_0.7.zip, r-release: EnsemblePenReg_0.7.zip, r-oldrel: EnsemblePenReg_0.7.zip |
| OS X binaries: | r-release: EnsemblePenReg_0.7.tgz, r-oldrel: EnsemblePenReg_0.7.tgz |
| Old sources: | EnsemblePenReg archive |
Please use the canonical form https://CRAN.R-project.org/package=EnsemblePenReg to link to this page.


I know quite certainly that I myself have no special talent; curiosity, obsession [əbˈseʃ(ə)n] Obsession, a persistent disturbing preoccupation with an often unreasonable idea or feeling. and dogged endurance, combined with self-criticism have brought me to my ideas.


|
| Local Properties | ||
| Managed Object Types | Data Object Types | All Properties | All Methods |
An ESX Server creates SCSI logical unit objects to represent devices in the host configuration. (See the definition of ScsiLunType for a list of the supported device types.) The vSphere API uses one of two object types to represent a SCSI logical unit, depending on the device type.
When the Server creates a HostScsiDisk or ScsiLun object, it specifies a valid device name and type:
/dev/cdrom
/vmkdev/vmhba0:0:1:0
PhysicalDrive0
scsi-cdrom
scsi-tape
scsi-disk
scsi-processor
scsi-unknown
Properties
| Name | Type | Description |
|---|---|---|
| alternateName* | ScsiLunDurableName[] |
Alternate durable names.
Records all available durable names derived from page 80h of the Vital
Product Data (VPD) and the Identification Vital Product Data (VPD) page
83h as defined by the SCSI-3 Primary Commands. For devices that are not
SCSI-3 compliant this property is not defined.
Since VI API 2.5 |
| canonicalName* | xsd:string |
Canonical name of the SCSI logical unit.
Disk partition or extent identifiers refer to this name when referring to a disk. Use this property to correlate a partition or extent to a specific SCSI disk.
|
| capabilities* | ScsiLunCapabilities |
Capabilities of SCSI device.
Since vSphere API 4.0 |
| descriptor* | ScsiLunDescriptor[] |
List of descriptors that can be used to identify the LUN object. The
uuid will also appear as a descriptor.
The id field in the descriptor is a string that can be used to correlate the ScsiLun across multiple servers. A ScsiLun may have multiple descriptors. The choice and order of these descriptors may be different on different servers. Not all descriptors are suitable for correlation. Some descriptors are only sufficient to identify the ScsiLun within a single host. Each descriptor contains a quality property that indicates whether or not the descriptor is suitable for correlation. Since vSphere API 4.0 |
| displayName* | xsd:string |
User configurable display name of the SCSI logical unit. A default
display name will be used if available. If the display name is not
supported, it will be unset. The display name does not have to be
unique but it is recommended that it be unique.
Since vSphere API 4.0 |
| durableName* | ScsiLunDurableName |
The durable name of the SCSI device.
For a SCSI-3 compliant device this property is derived from the
payloads of pages 80h and 83h of the Vital Product Data (VPD) as
defined by the T10 and SMI standards. For devices that do not provide
this information, this property is not defined.
|
| key* | xsd:string |
Linkable identifier
|
| lunType | xsd:string |
The type of SCSI device. Must be one of the values of
ScsiLunType.
|
| model* | xsd:string |
The model number of the SCSI device.
|
| operationalState | xsd:string[] |
The operational states of the LUN.
When more than one item is present in the array, the first state
should be considered the primary state. For example, a LUN may
be "ok" and "degraded" indicating I/O is still possible to the LUN, but
it is operating in a degraded mode. See ScsiLunState |
| protocolEndpoint* | xsd:boolean |
Indicates that this SCSI LUN is protocol endpoint. This
property will be populated if and only if host supports
VirtualVolume based Datastore. Check the host capability
virtualVolumeDatastoreSupported.
See HostProtocolEndpoint.
Since vSphere API 6.0 |
| queueDepth* | xsd:int |
The queue depth of SCSI device.
|
| revision* | xsd:string |
The revision of the SCSI device.
|
| scsiLevel* | xsd:int |
The SCSI level of the SCSI device.
|
| serialNumber* | xsd:string |
The serial number of the SCSI device.
For a device that is SCSI-3 compliant, this property is derived
from page 80h of the Vital Product Data (VPD), as defined by the
SCSI-3 Primary Commands (SPC-3) spec. Not all SCSI-3 compliant
devices provide this information. For devices that are not
SCSI-3 compliant, this property is not defined.
|
| standardInquiry* | xsd:byte[] |
Standard Inquiry payload.
For a SCSI-3 compliant device this property is derived from the
standard inquiry data. For devices that are not SCSI-3 compliant this
property is not defined.
Since VI API 2.5 |
| uuid | xsd:string |
Universally unique identifier for the LUN used to identify ScsiLun across
multiple servers.
This identifier can be used to identify analogous objects in other views such as HostMultipathInfoLogicalUnit and HostScsiTopologyLun. |
| vendor* | xsd:string |
The vendor of the SCSI device.
|
| vStorageSupport* | xsd:string |
vStorage hardware acceleration support status. This property
represents storage acceleration provided by the SCSI logical unit.
See ScsiLunVStorageSupportStatus for valid values.
If a storage device supports hardware acceleration, the ESX host can offload specific virtual machine management operations to the storage device. With hardware assistance, the host performs storage operations faster and consumes less CPU, memory, and storage fabric bandwidth. For vSphere 4.0 or earlier hosts, this value will be unset. Since vSphere API 4.1 |
| Properties inherited from HostDevice | ||
| deviceName, deviceType | ||
| Properties inherited from DynamicData | ||
| None |
| Top of page | Local Properties | ||
| Managed Object Types | Data Object Types | All Properties | All Methods |


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Match Play. Red leads 2-0 to 5. How should Red play 52?
pips Red=142 White=130
(CorrectAnswer= 0/0, ErrorScore= 0)
At this score hitting would be a catastrophic error, resulting in White doubling from the bar. Even for money the hit would be an error. Red’s prime asset is his anchor and he must keep it while he develops the rest of his position
The choice is between 13/11, 8/3 or the super-safe 13/8, 5/3.
XG has a slight preference for the completely safe play but 13/11, 8/3 is perfectly OK.
The choice is between 13/11, 8/3 or the super-safe 13/8, 5/3.
XG has a slight preference for the completely safe play but 13/11, 8/3 is perfectly OK.
1. Cubeful 2-ply 13/8 5/3 Eq.: -0.440 0.375 0.056 0.002 - 0.625 0.086 0.002 2. Cubeful 2-ply 13/11 8/3 Eq.: -0.462 (-0.023) 0.382 0.076 0.002 - 0.618 0.127 0.004 3. Cubeful 2-ply 13/6 Eq.: -0.472 (-0.033) 0.372 0.065 0.002 - 0.628 0.093 0.002 4. Cubeful 2-ply 8/3 5/3 Eq.: -0.476 (-0.036) 0.367 0.055 0.002 - 0.633 0.092 0.002 5. Cubeful 2-ply 8/6 8/3 Eq.: -0.517 (-0.077) 0.360 0.065 0.002 - 0.640 0.102 0.003


Enter your application's API Key and Application Secret in the respective fields on the Facebook Posting Plugin settings page
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Hello, I am Injaga Noel,
A Finance and Accounting graduate and expert.
I relish offering tech solutions from a financial perspective,
guiding organizations to be more efficient and data driven.
I am detail oriented with a get-it-done,on timely mentality
with a great passion for improving self and learning.
I look forward to delivering unique solutions and successful products
through teamwork and contionous improvement.
I have a background in Finance and Accounting:
I did a double major and graduated with a Second Honors Upper Division in Both Accounting and Finance from Strathmore University.
Over and Above my bachelors and Front-End certifications I have the following listed Certificates after rigorous training and practise:
As the Senior Finance Associate at Ajua(Msurvey Limited):
As the Finance Associate at Ajua(Msurvey Limited):
As the Accounts Assistant at Benito Lmited, a hospitality Farm I learnt on:
I started my Finance Career at Lean Africa as an Intern where I learnt:


Module: Aws::DefaultsModeConfiguration
| Relationships & Source Files | |
| Defined in: | gems/aws-sdk-core/lib/aws-defaults/default_configuration.rb |
Overview
A defaults mode determines how certain default configuration options are resolved in the SDK.
Note: For any mode other than 'legacy'
the vended default values might change as best practices may
evolve. As a result, it is encouraged to perform testing when upgrading the SDK if you are using a mode other than
'legacy'
. While the 'legacy'
defaults mode is specific to Ruby,
other modes are standardized across all of the AWS SDKs.
The defaults mode can be configured:
Directly on a client via
:defaults_mode
On a configuration profile via the "defaults_mode" profile file property.
Globally via the "AWS_DEFAULTS_MODE" environment variable.
defaults START - documentation
The following :default_mode
values are supported:
'standard'
- The STANDARD mode provides the latest recommended default values that should be safe to run in most scenarios
Note that the default values vended from this mode might change as best practices may evolve. As a result, it is encouraged to perform tests when upgrading the SDK
'in-region'
- The IN_REGION mode builds on the standard mode and includes optimization tailored for applications which call AWS services from within the same AWS region
Note that the default values vended from this mode might change as best practices may evolve. As a result, it is encouraged to perform tests when upgrading the SDK
'cross-region'
- The CROSS_REGION mode builds on the standard mode and includes optimization tailored for applications which call AWS services in a different region
Note that the default values vended from this mode might change as best practices may evolve. As a result, it is encouraged to perform tests when upgrading the SDK
'mobile'
- The MOBILE mode builds on the standard mode and includes optimization tailored for mobile applications
Note that the default values vended from this mode might change as best practices may evolve. As a result, it is encouraged to perform tests when upgrading the SDK
'auto'
- The AUTO mode is an experimental mode that builds on the standard mode. The SDK will attempt to discover the execution environment to determine the appropriate settings automatically.
Note that the auto detection is heuristics-based and does not guarantee 100% accuracy. STANDARD mode will be used if the execution environment cannot be determined. The auto detection might query EC2 Instance Metadata service, which might introduce latency. Therefore we recommend choosing an explicit defaults_mode instead if startup latency is critical to your application
'legacy'
- The LEGACY mode provides default settings that vary per SDK and were used prior to establishment of defaults_mode
Based on the provided mode, the SDK will vend sensible default values tailored to the mode for the following settings:
:retry_mode
- A retry mode specifies how the SDK attempts retries. See Retry Mode:sts_regional_endpoints
- Specifies how the SDK determines the AWS service endpoint that it uses to talk to the AWS Security Token Service (AWS STS). See Setting STS Regional endpoints:s3_us_east_1_regional_endpoint
- Specifies how the SDK determines the AWS service endpoint that it uses to talk to the Amazon S3 for the us-east-1 region:http_open_timeout
- The amount of time after making an initial connection attempt on a socket, where if the client does not receive a completion of the connect handshake, the client gives up and fails the operation:ssl_timeout
- The maximum amount of time that a TLS handshake is allowed to take from the time the CLIENT HELLO message is sent to ethe time the client and server have fully negotiated ciphers and exchanged keys
All options above can be configured by users, and the overridden value will take precedence.
defaults END - documentation
Constant Summary
-
SDK_DEFAULT_CONFIGURATION =
Internal use only
# File 'gems/aws-sdk-core/lib/aws-defaults/default_configuration.rb', line 112
defaults START - configuration
{ "version" => 1, "base" => { "retryMode" => "standard", "stsRegionalEndpoints" => "regional", "s3UsEast1RegionalEndpoints" => "regional", "connectTimeoutInMillis" => 1100, "tlsNegotiationTimeoutInMillis" => 1100 }, "modes" => { "standard" => { "connectTimeoutInMillis" => { "override" => 3100 }, "tlsNegotiationTimeoutInMillis" => { "override" => 3100 } }, "in-region" => { }, "cross-region" => { "connectTimeoutInMillis" => { "override" => 3100 }, "tlsNegotiationTimeoutInMillis" => { "override" => 3100 } }, "mobile" => { "connectTimeoutInMillis" => { "override" => 30000 }, "tlsNegotiationTimeoutInMillis" => { "override" => 30000 } } } }


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- There are two splitted input forms for complicated input scenario
- restore values with traceMap in back/edit operation
- extra cascading form sample
- flexible depth of cascading( Form -> Form -> Form )
- using the array in array cascading form field( Form -> Form[] -> Form[] )


{% extends "base.html" %} {% block title %} Toxic Release Inventory {% endblock %} {% block content %}
TRI was last updated on RTK NET with a set of EPA data last updated in 2017, and includes records from reporting years 1987 through 2016. These data should match the data used in EPA's TRI National Analysis documents.
The Toxic Release Inventory (TRI) is a database of information about releases and transfers of toxic chemicals from facilities in certain industrial sectors, including manufacturing, waste handling, mining, and electricity generation. Facilities must also report the total amount of toxic chemicals in waste that they produce.
RTK NET provides access to the 2.3.6 version of RSEI risk screening data along with TRI. This version has 2016 as its latest TRI reporting year.


In this tutorial, we demonstrate how to model some common superconducting spintronics devices using the GENEUS software suite. The first few sections will gradually introduce basic calculations, selfconsistent calculations, and nonequilibrium calculations. After that, we will demonstrate some more advanced features of the configuration files, such as how to initialize a system using mathematical equations, and how to set system parameters using command-line arguments. Finally, we will show how to use more specialized simulation programs to calculate phase diagrams and the superconducting critical temperature. The instructions assume that you use Bash as your terminal shell, and have Gnuplot available for data visualization.
As the first example, we consider an S/N/S Josephson junction. This consists of a normal-metal layer in-between two bulk superconductors, which we treat as reservoirs with fixed order parameters . This produces a phase-difference and maximizes the charge supercurrent . The normal-metal layer is assumed to have a length , where is the superconducting coherence length. Finally, the interfaces are assumed to have tunneling conductances , where is the normal-state conductance of the normal-metal layer.
First, we have to write an INI-like configuration file that describes the physical system above. The format used for these configuration files is simple but flexible:
[material]
defines a new material layer in a one-dimensional nanostructure.
Possible materials include superconductor
, conductor
, ferromagnet
, and halfmetal
.key: value
.
Depending on the property, this can be either a boolean variable (T or F), an integer (e.g. 1), a real number (e.g. 1.0), or a real vector (e.g. [1.0,0,0]).#
is regarded as a comment, and ignored by the configuration parser.Here is a configuration file that describes the physical setup above:
# S/N/S Josephson junction # with π/2 phase difference [superconductor] order: 0 gap: 1.00 phase: +0.25 [conductor] order: 1 length: 3.00 conductance_a: 0.30 conductance_b: 0.30 [superconductor] order: 0 gap: 1.00 phase: -0.25
Sections like [superconductor]
and [conductor]
specify that we wish to simulate an S/N/S junction.
Below each section, the physical properties of that material layer is specified using key-value pairs.
Let us first consider their physical properties.
For the superconductors, the parameter phase
sets the phases of the order parameters (in units of ), while the parameter gap
sets the magnitude (in units of ).
Since is the default value for superconducting layers, specifying the gap
is in this case optional.
For the normal metal, the parameters conductance_a
and conductance_b
define the tunneling conductance of the "left" and "right" interfaces, respectively.
Here, "left" refers to the material defined above, and "right" the material defined below.
These conductance values are normalized relative to the bulk conductance of the normal metal.
The length of the material is obviously defined using the length
parameter (in units of ).
In addition to these physical parameters, a property order
is used to control the numerical procedure.
The simulation programs work by solving the Usadel diffusion equation in one layer at a time, and this property can be used to control in what order this happens.
This is particularly useful in large multilayer structures, where some iteration orders may converge faster than others due to e.g. symmetry reasons.
The special value 0 is used to disable simulations entirely in a material, thus making it into a reservoir.
This is what we have done in the example above: since both superconductors have the order set to 0, they are treated as bulk reservoirs by the simulation program.
Note that since the order defaults to 1, it is optional to define it for the normal metal here.
After saving the above configuration file in a suitable folder as e.g. josephson.conf
, open a terminal in that directory.
The simulation can now be started using the converge
program:
converge josephson.conf &
The simulation program should now run in the background.
It will continuously write status information to the file output.log
, while information about any errors that might occur is written to error.log
.
In order to track the progress of the simulation, you can use the command tail
:
tail -n +0 -f *.log
If you compiled the program using IFort, and have a modern processor (e.g. an Intel Core i7 in my case), the simulation should finish in less than a minute. During that time, it solves the Usadel equation as a function of position for 1000 energies in the range . Physical observables such as the density of states and supercurrents are subsequently calculated from the propagators, and the results saved to DAT files.
For this system, we may be especially interested in displaying the charge supercurrent in the system.
If you have Gnuplot installed, you can visualize the results by running gnuplot
in the terminal, and then typing:
set xlabel 'Position' set ylabel 'Charge current' set yrange [-0.012:0.012] plot 'supercurrent.dat' using 1:2
The data files are formatted using tab-separated values (TSV files), where the first two columns correspond to the position and charge current, respectively.
If you wish to use a different visualization tool, it should be straight-forward to import the file supercurrent.dat
, and plot the first two columns against each other.
Another quantity that might be interesting for this system, is to look at the superconducting phase as a function of position.
The file correlation.dat
contains three data columns, which corresponds to the position, the gap magnitude, and the superconducting phase, respectively.
Thus, this information can be plotted as follows:
set xlabel 'Position' set ylabel 'Superconducting phase' set yrange [-0.25:0.25] plot 'correlation.dat' using 1:3
For the next example, we consider an S/F bilayer with spin-orbit coupling in the ferromagnet. We take the superconductor length to be , and treat its order parameter selfconsistently. The ferromagnet has length , magnetic exchange field , Rashba coupling , and Dresselhaus coupling . The spin-orbit coupling is in-plane; since the junction direction is along the -axis, this corresponds to a Rashba Hamiltonian and Dresselhaus Hamiltonian . The goal will be to calculate the local density of states in the junction.
An appropriate configuration file for this system would be:
# S/F bilayer with SOC [superconductor] order: 2 length: 2.5 conductance_b: 0.3 [ferromagnet] order: 1 length: 0.5 rashba: 1.0 dresselhaus: 1.0 magnetization: [3,0,0] conductance_a: 0.3
Save this file as e.g. bilayer.conf
.
Note that there is no need to define boundary conditions for the "outer" interfaces: when no material is defined there, the program will automatically select vacuum boundary conditions.
The only thing needed to perform a selfconsistent calculation in the superconductor, is to specify a positive order for that layer (in this case 2).
The simulation can again be performed using the converge
program:
converge bilayer.conf &
The simulation program will alternate between solving the Usadel equation in the two layers. Note that for the first few iterations, the order parameter in the superconductor is locked to . This is because the state changes rapidly between iterations in the beginning, and selfconsistently updating the order parameter before the initial boundary conditions are approximately satisfied can slow down the convergence. This "bootstrap procedure" continues until the change in the Riccati parameters between iterations is below 1%. After that, the program start to perform proper selfconsistency iterations, where it both solves the Usadel equation and updates the order parameter. After each such iteration, the physical observables in the system is written to output files, making it possible to preview the results. Finally, every 8th iteration, a simple convergence acceleration procedure (Steffensen's method) is used predict what value the order parameter is converging towards, thus shortening the required simulation time. Using IFort and a modern processor, the entire simulation should require roughly 30 min to converge (using a default error tolerance of for the Riccati parameters).
Once the simulation has finished, the relevant output file is density.dat
.
The first three columns of this file correspond to the position, energy, and the spin-independent local density of states, respectively.
The results are easily visualized as a contour plot in Gnuplot:
set xlabel 'Position' set ylabel 'Energy' set title 'Density of states' set yrange [-3:3] set cbrange [0:2] set pm3d map splot 'density.dat' using 1:2:3
In this section, we consider a voltage-biased N/S/N junction. The voltage-biased contacts are used to inject a resistive charge current into the superconductor. Once inside the superconductor, this resistive current decays as it is converted to a supercurrent. Below, we intend to calculate and visualize that conversion process. The superconductor is taken to have length , and its order parameter has to be determined selfconsistently to obtain physically reasonable results. Furthermore, due to the voltage bias, the system is necessarily out-of-equilibrium, which means that we also need to solve the kinetic equations numerically. As for the normal metals, we will treat these as reservoirs at voltages .
An appropriate configuration file for the system above is:
# Voltage-biased superconductor [conductor] order: 0 voltage: -0.1 [superconductor] order: 1 nonequilibrium: T boost: F length: 5.0 conductance_a: 0.3 conductance_b: 0.3 [conductor] order: 0 voltage: +0.1
Save the configuration above as voltage.conf
, and start the simulation:
converge voltage.conf &
By default, a convergence acceleration method is invoked every 8th selfconsistency iteration.
For systems without phase gradients (i.e. charge supercurrents), this can speed up convergence by a factor 2-5x.
However, for systems with such phase gradients, the convergence acceleration procedure fails miserably, and should be disabled.
This is done by setting the parameter boost
to false in the example above.
Note that you explicitly need to set nonequilibrium
to true in each layer where you wish to solve the out-of-equilibrium kinetic equations.
Without this switch, the simulation program will assume that it is dealing with an equilibrium problem, and only solve the Usadel equation for the retarded propagators.
The example above is among the slowest single-layer junctions you can simulate with the code: using IFort and a modern processor, it takes roughly 90 min to converge completely. This is because the code in general requires a large number of iterations to perform selfconsistent calculations with phase gradients, a problem that is further exacerbated by the lack of convergence acceleration. If you wish to perform some faster numerical experiments to explore the out-of-equilibrium functionality, I would recommend testing N/N/N systems first.
Once the simulation finishes, the resistive current and supercurrent can be visualized together using Gnuplot:
set xlabel 'Position' set ylabel 'Charge current' set yrange [0:0.002] plot 'supercurrent.dat' using 1:2 title 'Super', \ 'lossycurrent.dat' using 1:2 title 'Resistive'
In this section, we introduce some more advanced capabilities of the configuration format: mathematical expressions and command-line arguments.
In the configuration file, you may replace any real number or vector by a mathematical expression.
The simulation program uses the fparser library to parse these expressions, and supports all functionality of that library.
This basically means that you can use all elementary mathematical operators supported by Fortran itself (**
, *
, /
, +
, -
), in addition to the most common elementary functions (sin
, cos
, exp
, log
, sqrt
, etc.).
For more information, see the fparser documentation.
When defining mathematical expressions, there are two special variables available.
One of them is pi
, which just refers to the mathematical constant ().
The second is z
, which refers to the position inside a material.
The latter can be used to initialize physical fields using an analytical function of position, and is normalized so that that at the left and at the right interface of each material.
You can also feed the simulation programs command-line arguments.
These can then be referred to in the configuration file using the syntax {1}
for the first command-line argument, {2}
for the second, and so on.
In this way, the configuration files themselves specify how to interpret these arguments.
Note that if a command-line argument is referred to in the configuration file but not provided, the simulation program exits with an error.
Let us now consider a physical example where the functionality above might be useful. Imagine an S/F/S Josephson junction, where the central layer is a helical ferromagnet like Ho. Its magnetization texture can then be specified as a vector-valued function of position: .
As for the superconductors, these are modelled as reservoirs with fixed order parameters.
However, we wish to investigate the current-phase relation for multiple phase differences.
We therefore set the reservoir phases to , where the phase difference is provided as a command-line argument {1}
.
This allows us to perform simulations for different in parallel without having to write multiple configuration files.
An appropriate configuration file is then:
# Josephson junction with a helical ferromagnet. [superconductor] order: 0 phase: -{1}/2 [ferromagnet] length: 3.0 magnetization: [3*cos(pi*z/2), 3*sin(pi*z/2), 1] conductance_a: 0.3 conductance_b: 0.3 [superconductor] order: 0 phase: +{1}/2
Save this file as e.g. helical.conf
and open a terminal in the same folder.
We can then use a Bash loop to start multiple parallel simulations with different in separate subdirectories:
for n in $(seq 0.0 0.1 1.0); do mkdir sim_${n}; cd sim_${n}; converge ../helical.conf ${n} & cd ..; done
With IFort and an Intel Core i7, it takes roughly 3 min for all the simulations to complete.
Since the simulation results are scattered in multiple files in multiple folders, some postprocessing is required to collect the results afterwards.
The charge current is conserved, so we can extract it at any point in the ferromagnet; in this case, we use tail -n 1
to extract it from the right end.
In Bash, these results can then be collected by running:
for n in $(seq 0.0 0.1 1.0); do echo -n ${n} >> current.dat; tail -n 1 sim_${n}/supercurrent.dat >> current.dat done
Finally, the resulting current-phase relation can be plotted using:
set ylabel 'Charge current' set xlabel 'Phase difference' plot 'current.dat' using 1:3
In all of the examples above, we have focused on a single program converge
, which essentially calculates the steady-state solution for a physical system with known parameters.
In this section, we will demonstrate how to calculate the critical temperature of a superconducting junction using a more specialized program critical
.
The program uses a kind of binary search algorithm to drastically improve the calculation time needed to determine the critical temperature with a high precision.
The ideas behind this algorithm are explained in more detail in the appendix of Scientific Reports 6, 29312 (2016).
As a model system, we consider an FI/S/FI spin-valve setup. The ferromagnetic insulators are modelled as spin-active interfaces with spin-mixing conductances , where is the normal-state conductance of the superconductor. Their magnetization directions are set to , where the relative magnetization angle will be provided as a command-line argument.
An appropriate model for this spin-valve setup is:
# FI/S/FI Spin-valve setup. [superconductor] # Material itself length: 1.0 # Left interface magnetization_a: [cos(-{1}*pi/2),sin(-{1}*pi/2),0] spinmixing_a: 0.5 # Right interface magnetization_b: [cos(+{1}*pi/2),sin(+{1}*pi/2),0] spinmixing_b: 0.5
Save this configuration file as e.g. spinvalve.conf
and open a terminal in the same folder.
We then perform parallel simulations for magnetization angles :
for n in $(seq 0.0 0.1 1.0); do mkdir sim_${n}; cd sim_${n}; critical ../spinvalve.conf ${n} & cd ..; done
These simulations may take a few hours to complete.
When the simulations are finished, they will write both the command-line options used to invoke each process and the calculated critical temperature to critical.dat
output files.
The critical temperature result is normalized to the critical temperature of a bulk superconductor.
The results can be collected into a single output file as follows:
cat sim_*/critical.dat | cut -f 2,3 > critical.dat
It is then trivial to plot the results in Gnuplot:
set xlabel 'Magnetization angle' set ylabel 'Critical temperature' plot 'critical.dat' u 1:2 notitle
In this example, we demonstrate another specialized program flow
, which can be used to rapidly map out the phase diagram of a superconducting system.
The program is based on analysing the "flow" of the order parameter during selfconsistency iterations; the concept is explained in more detail in the supplemental information of arXiv:1803.07076.
The program will be illustrated using a spin-valve setup similar to the previous section.
However, in this case we will assume zero temperature and perpendicular magnetizations, and investigate how the spin-mixing conductance affects the stability of superconductivity.
An appropriate configuration file is:
# FI/S/FI Spin-valve setup. [superconductor] # Material itself gap: 0.01 length: 1.00 # Left interface magnetization_a: [1,0,0] spinmixing_a: {1} # Right interface magnetization_b: [0,1,0] spinmixing_b: {1}
Save the file above as e.g. spinvalve2.conf
, and run the following commands to start the simulations:
for n in $(seq 0.0 0.1 1.0); do mkdir sim_${n}; cd sim_${n}; flow ../spinvalve2.conf ${n} & cd ..; done
According to the configuration file above, the order parameter is initially set to a small value . The simulation program then performs a fixed number of selfconsistency iterations, and determines whether the order parameter is spontaneously increasing (>1) or decreasing (<1) compared to its initial value. This can be used to classify regions in parameter space as having a stable or unstable superconducting solution branch.
The simulations should take about 10 min to complete. The results can then be collected to a single output file:
cat sim_*/flow.dat | cut -f 2,3 > flow.dat
They are then straight-forward to visualize in Gnuplot:
set xlabel 'Spin-mixing conductance' set ytics ('Normal' 0, 'Super' 1) plot 'flow.dat' u 1:($2 > 1) notitle


How to read the visualization
In the middle of the circle there are four clusters representing the field from which the speakers come, the second step towards the exterior shows the profession in relation to the field and the name of the author.
In the external ring each speaker is linked to a small histogram representing his relevance on the social media, in particular the h-index from the Google Scholar profile, the number of the followers on Twitter and the connections on Linkedin.
How it has been done
The main dataset (see the protocol) has been integrated with data from the social, even if not all the speakers are active on this kind of media. A circular dendogram was created using app.raw.densitydesign.org and then modified with Adobe Illustrator and finally integrated with the histogram bars. The graph file .svg was added to the .html file with a stylesheet for the interactions. It is possible to select a part of the inner ring to better observe the composition and relations among the elements.
Because of the complexity and the size of the visualization, it is also possiple to zoom in to better read the labels.
Findings
Aim of the visualization is to introduce the research on the academic papers and show names and fields of studies. Most of the speakers are university professors inerested in law, that is indicative and anticipates what the main opinions could be. The other bigger cluster refers to the human rights.
The topic "mass surveillance" has a strong relation with the legislative and the human rights field, while fewer tech experts debate the theme from a "technical" point of view.


Preparation time
1-2 hours
Cooking time
30 mins to 1 hour
Serves
Makes 8 skewers
These small Spanish-style skewers make an ideal festive canapé because they can be prepared ahead and cooked to order for your guests.
Place all the ingredients for the poached quince, except the membrillo, in a saucepan and add 450ml/16fl oz water. Bring slowly to the boil, then turn down to a simmer and cook for 1½-2 hours, or until the quince is cooked and has turned a deep red. Do not overcook otherwise the quince will fall from the skewers.
Leave the quince to cool in the poaching liquid, then remove and cut into 1.5cm cubes. Bring the poaching liquid to the boil and cook until the volume of liquid has reduced by half to a glaze. Whisk in the membrillo until dissolved.
For the pinchos, heat a non-stick pan over a medium heat and then add the duck breasts skin-side down to render the fat and brown the skin.
Turn the breasts over and cook for 1-2 minutes before removing from the pan to cool and rest. When cool enough to handle cut the duck into 1.5cm cubes.
Cut the pancetta into pieces the same size as the duck but half as thick. Thread a piece of duck onto each skewer followed by the pancetta and then the quince. Repeat this on each skewer.
Heat a grill to medium; season the skewers and brush with a little oil. Grill for 2-3 minutes, turning as you go. One minute before they are ready brush with some of the quince glaze. The duck should still be pink, pancetta cooked through and there should be a sticky-glazed appearance.
Serve the skewers along with a pot of the remaining glaze to dip into.


Setting the Banner Border
How to set the width and color of the border around each banner that is displayed in a banners module.
- Select Banner Options from the module actions menu.
- In the Border Width text box, enter the pixel width of the border. E.g. 3
- In the Border Color text box, enter a hex number (#6495ED) or color code (CornflowerBlue) to set the color of the border.
-
Click the OK button to confirm.
Tip: You may like to unmark the Display Container? check box Module Setting to hide the module container.
The Banners module with Borders displayed


--- title: "Population in the Bay Area, 1850—2010" date: 2014-11-17 09:50:25 permalink: /visualizations/pop/ layout: page extra_css: population_map.css visualization: population_map.js ---
A persistent environmental critique of the Bay Area was the region's growing traffic problems, which not only caused heavy congestion but promoted smog that obscured the Valley's prized views. In 1958, the Santa Clara County Planning Commission reported on journey-to-work problems on the San Francisco Peninsula.
The visualization begins to confirm the argument—mine and others—that there existed an imbalance between the places people lived and the places people worked. These places were defined by city policies. Specifically, the visualization reflects a heavy concentration of commuters leaving San Jose for other parts of the Bay Area for their jobs.
Jason A. Heppler, "{{ page.title}}," interactive media, {{site.url}}{{page.permalink}}, 2014.


fun desirabilityLayer(type: Zone, level: Int): DesirabilityLayer?
We will probably end up having a desirability layer for each zone and each level... but I am not 100% sure yet
type - Zone type to get
type
level - level of matching desirability layer (1-5)
level


Introduction
Net_Growl is a PHP Library that makes it possible to easily send a notification from your PHP script to Growl.
Until now there were many UDP PHP implementations, but none for the new Growl Notification Transport Protocol (GNTP) - v1.0
I’ve decided to enlarge work begun by Bertrand Mansion with the PEAR::Net_Growl package (v 0.7.0).
While you can find some old compatible PHP4 versions (0.8.0b1, 0.9.0b1, 0.9.0b2), I’ve decided, with final stable version 2.0.0, to drop support of PHP4.
I’m focus now on a unique PHP5 library that includes all features of GNTP 1.0
Two different protocols may be used: the basic UDP (compatible with all platforms), and the new one GNTP.
The major version 2 is a full rewrites to PHP5, that used exceptions to raise errors.
| Its recommanded to migrate to PHP5, because PHP4 version is not maintained anymore. |
Features
Net_Growl provides :
UDP is limited to some features :
-
Application and notification icons are not provided by PHP scripts.
-
Callbacks are not supported.
GNTP is better than UDP :
-
Application and notification icons may be provided by PHP scripts.
-
Callbacks may be supported. (not yet with Net_Growl beta1)
-
Different Hash and Encryption backend : MD5, SHA1 (for version 0.9.0b1) plus SHA256 and SHA512 (for version 2.0.0b1)
Log framework used with version 0.9.0b1 is PEAR::Log package. While versions since 2.0.0b1 uses no particular log framework (basic text file I/O).
Both versions may send notifications without to call the Net_Growl::register() function. Net_Growl will do it for you at first notification.
If Application and Notification icons are invalid or not reachable, Net_Growl display the default Growl Logo.
since version 2.7.0, you have ability to define the default growl icon
to use (see defaultIcon option), and its location (see resourceDir option). |
Requirements
-
Growl requires Mac OS X 10.5 or higher.
-
Growl for Windows is a Windows-compatible version of Growl, a notification system for Mac OS X.
-
mcrypt extension when using GNTP adapter and encryt feature
Documentation
Head to the Net_Growl User Guide available online for information or examples to get started.
The Net_Growl book is available in a selection of formats. You can download the documentation for offline reading.
| Language | Single HTML file | Many HTML files | HTML Help file | PDF A4 file | PDF US file | EPUB file |
|---|---|---|---|---|---|---|
English |
netgrowl-book.html.zip 237Kb |
netgrowl-book-a4.pdf 210Kb |
netgrowl-book-us.pdf 210Kb |
Appendixes
FAQ
If you are in trouble, perhaps this page will give you a solution.
Changelog
You want to learn more about previous versions. Read the full changelog.
 You are also encouraged to contribute. Read the full license.
Credits
I would like to thanks here specially two guys without who this PHP version won’t be born.
Original author of PEAR::Net_Growl, that gave me hope to use one day the package on Windows platform.
— Bertrand Mansion
Author of Growl for Windows, that make the dream a reality for all Windows users. He also help me a lot to finalize the authorization part and encryption messages.
— Brian Dunnington
And of course, a special thanks to
Growl Team without who, this adventure wouldn’t be true.
— Growl Team
Links
All pages of this site, and user guide were generated with AsciiDoc 8.6.8, assisted by FOP 1.0 (for PDFs). Automated build process uses Phing 2.4.14
Convert the HTML Help source (.hhp and .html) files to HTML Help (.chm) files using the Microsoft HTML Help Compiler.


Government Orders Coal India To Start Operations In 110 Additional Blocks Or Return Them
by PTIBookmark
The coal ministry has asked state-owned Coal India Ltd. to either expedite the operationalisation of 110 additional blocks allotted to it or return the mines to the government, an official said.
The coal ministry recently enquired from the state-run miner about the operational status of the additional blocks allotted to it, and whether extraction from these coal blocks is techno-economically feasible, the official said.
The government was told that of the 110 additional Coal India blocks, 50 were explored, 41 were under exploration and balance 19 were partly/regionally explored.
Further, out of 50 explored blocks, project reports of 25 blocks have been prepared, Coal India informed the ministry.
The ministry emphasised on quick operationalisation of all of these blocks, otherwise Coal India may return them to the Ministry of Coal for their allotment auction to other agencies, according to the same official.
Coal India accounts for over 80 percent of domestic coal output.
The state-owned firm had earlier said that it will produce 750 million tonnes of coal in the next financial year. It will further produce 1 billion tonnes of coal by FY24, Coal Minister Pralhad Joshi had said.
Coal India is targeting to produce 660 million tonnes of the dry fuel in 2019-20 compared to 607 million tonnes in the last fiscal.


Currently, most of the contents are empty, awaiting your contribution
{{heroes?.hero?.knownFor | customTitleCase}}


pattern_generation.icn: Pattern generation: generate variation of "Henning Mankell" matching the regex [HM][ea](nk|n|nn)(ing|ell|all). (See pattern_generation.txt for the generated patterns.)
read_test.icn: Read test, search in a word file for words matching the sequences on the form a.*b.*c.*d


Nebraska Furniture Mart Created its Own Furniture Brand and Plans to Cut the State Out of its Name
Nebraska Furniture Mart is getting ready to rebrand its massive Texas store as NFM and introduce a new logo.
Sometime around April, a new exterior sign will go up on the store that opened almost five years ago in The Colony. The home furnishings, appliance, electronics and flooring store redefined big box retailing with its 560,000-square-foot, two-level, glass-front building on Highway 121.
Click here to read more on this from our partners at The Dallas Morning News.


|
WiFi Handler component
1.0
WiFi Handler component for open authenticator.
|
#include "wifi_handler_station.h"
Functions | |
| wifi_ap_record_t * | get_wifi_station_info () |
| Gets the information about the currently connected access point. More... | |
| esp_err_t | start_wifi_station (char *wifi_station_info_json) |
| starts wifi and connects to access points which are passed as json string to this function More... | |
| esp_err_t | stop_wifi_station () |
| disconnects from currently connected AP and turns off wifi More... | |
| wifi_ap_record_t* get_wifi_station_info | ( | ) |
Gets the information about the currently connected access point.
| esp_err_t start_wifi_station | ( | char * | wifi_station_info_json | ) |
starts wifi and connects to access points which are passed as json string to this function
wifi_station_info_json --> json structure is as follows:
{ "c": 3 (max 10, int, set by macro WIFI_MAX_STATIONS), "s": ["hello", "bye", "df"], "p": ["fakee", "nice", "ddddfs"] }
these ssid and pass are corresponding according to their array location, i.e pass of ssid[0] = pass[0] and so on
Flow of this function is as follows: 1) Tries to connect to the first wifi AP specified in the json string 1.1) If connected successfully return ESP_OK 1.2) If fails, then tries to reconnect, keeps on trying WIFI_RECONNECT_RETRY_ATTEMPTS times 1.2.1) If connected successfully return ESP_OK 1.2.2) If fails after retrying WIFI_RECONNECT_RETRY_ATTEMPTS times, fetches new wifi ssid from json string and goes back to step 1) 2) If it failed to connect to all wifi APs from the json string return ESP_FAIL
| wifi_station_info_json | json string which contains information about number of AP to which to try to connect to, and also their ssid and passwords |
| esp_err_t stop_wifi_station | ( | ) |
disconnects from currently connected AP and turns off wifi


Bernie Hames "Half Marathon" (13 mi 96 yd)
Chigwell ENG
Race Winners
(24 runnings)
08
Nov
1980
1:21:59
10 Nov
1979
11 Nov
1978
12 Nov
1977
13
Nov
1976
08 Nov 1975
28
Sep
1974
29
Sep
1973
30
Sep
1972
18 Sep 1971
19 Sep 1970
21
Sep 1969
22
Sep 1968
17
Sep 1967
17
Sep 1966
18
Sep 1965
19
Sep 1964
21 Sep 1963
22 Sep 1962
23 Sep 1961
24 Sep 1960
29
Aug 1959
30
Aug 1958
31
Aug 1957
Notes: 1957 was the inaugural year. Distance for 1957-60 was reported as 13 mi
140 yd (21.05 km). Race was advertised as "approximately a half marathon."
1:03:56
Keith Penny-3
Leslie Watson
(SCO)
1:05:41
Steve Walker-2
1:05:35
Keith Penny-2
1:05:10
Gerry Taylor (ENG)
1:05:05
Keith Penny (ENG)
1:05:15
Steve Walker (ENG)
1:07:41
Colin Moxham (ENG)
1:07:15
Bill Weller (ENG)
1:08:41
Alan Richards (ENG)
1:09:45
Roger Little (ENG)
1:10:26
Fred Maillardet (ENG)
1:09:41
Lionel Mann (ENG)
1:05:20
Barry Watson (ENG)
1:06:51
Melvyn Batty (ENG)
1:09:27
Ron Franklin-2
1:05:28
Barry Collins (ENG)
1:10:07
Ron Franklin (WAL)
1:05:13.8
Leonard Edelen-3
1:07:34.5
Leonard Edelen-2
1:07:43.4
Leonard Edelen (USA)
1:09:37
Ted Richardson (ENG)
1:05:32
Tony Towl (ENG)
1:10:18.6
Jack Haslam (ENG)
1:06:12.4
Tony Weeks-Pearson (ENG)
Most Wins (1957/1980
Men
3
Leonard Edelen (USA)
1961-63
Keith Penny (ENG)
1976,1978,1980
Women
Women only ran one year.
Prize Money (ADR
qualified runners)
No prize money was awarded in this race.
Race Time Bias
(sec/km
There is insufficient data to
calculate a race time bias.
Competitive Level (1990-date)
There is insufficient data to calculate the competitive level.
Last Updated on 16 Jun 2012
Contributors: Andy Milroy (5), Mick McGeoch (50)


⚠ Think to open the TCP port
50051
in your box to able to play with your friends online!
Connected players
Uptime
stop server
Connection to
localhost:1337
failed!
🎮 Host a (new) Game
👯 Join a Game


Deleting VirtualBox Snapshots
The Discard current snapshot and state command dishappeared as of VirtualBox version 3.1 leaving VirtualBox with no obvious way of deleting snapshot disk state (the misnamed Delete Snapshot command merges the snapshot into the parent). The good news is that you can delete snapshots using the branched snapshots feature introduced in version 3.1.
Note: Throughout this post I use the word delete to mean removing both the snapshot and the associated disk state, I use the word merge to mean deleting the snapshot and merging the associated disk state into the parent (the latter refers to the misname VirtualBox Delete Snapshot command and was discussed in a previous post).
The technique to delete snapshots involves grafting an empty snapshot at the point you want to delete to; merging snapshots down to that point; and finally merging the empty snapshot to its parent. The following screenshots should make the process a bit clearer:
Here’s our starting point – the goal is to delete snapshots 3 and 4.
Restore to snapshot 2.
Graft a snapshot (snapshot 5) to snapshot 2.
Restore back to snapshot 4.
Merge snapshot 4 (i.e. use the VirtualBox Delete Snapshot command).
Merge snapshot 3 (i.e. use the VirtualBox Delete Snapshot command).
Restore to the empty snapshot 5.
Merge the empty snapshot 5 (i.e. use the VirtualBox Delete Snapshot command). This last step effectively deletes snapshots 3 and 4 disk state from snapshot 2.
That’s it!
I discuss merging and compacting Snapshots in this post (which also includes a utility (vboxmerge.py) that I wrote to merge VirtualBox snapshots).


The grid below is comprised of 6 rows and 6 columns.
Hover your mouse over the green elements below to get a behind-the-scenes look at the code that created them!
Column 1
Row 1
Column 2
Column 3
Column 4
Column 5
Column 6
Row 2
Row 3
Row 4
Row 5
Row 6


--- layout: site-content title: about canon utilitySection: About Canon ---
Overview of the project, our mission, and how to get involved.


We're making the system more awesome. We'll be back shortly.
There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration.
Contrary to popular belief, Lorem Ipsum is not simply random text. It has roots in a piece of classical but the majority.
If you are going to use a passage of Lorem Ipsum, you need to be sure there isn't anything embar.. no-reply@domain.com


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We only ask for personal information when we truly need it to provide a service to you. We collect it by fair and lawful means, with your knowledge and consent. We also let you know why we’re collecting it and how it will be used.
We only retain collected information for as long as necessary to provide you with your requested service. What data we store, we’ll protect within commercially acceptable means to prevent loss and theft, as well as unauthorised access, disclosure, copying, use or modification.
We don’t share any personally identifying information publicly or with third-parties, except when required to by law.
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You are free to refuse our request for your personal information, with the understanding that we may be unable to provide you with some of your desired services.
Your continued use of our website will be regarded as acceptance of our practices around privacy and personal information. If you have any questions about how we handle user data and personal information, feel free to contact us.
This policy is effective as of xxxxxxx.


---
title: Creating a Dota Map Image
description: >
How I create images of the Dota 2 map.
created: !!timestamp '2016-09-04 21:00:00'
tags:
- Interactive Dota Map
- update
- Source Filmmaker
post_images: images/blog/creating-a-dota-map-image/
---
{% mark image -%}
![Creating a Dota Map Image]([[!!images/blog/creating-a-dota-map-image/header.png]])
{%- endmark %}
{% mark excerpt -%}
I figured out how to generate dota 2 map images using Source Filmmaker.
{%- endmark %}
My original method for creating dota map images was stitching together screenshots I took in game. But the `cl_leveloverview` command I used to get the orthographic projection stopped working ever since the Dota 2 Reborn update. So for a period of time I wasn't able to create new map images. Then one day Noxville sent me a map image created by MaxOfS2D which I was able to use in my interactive map. It was a good image and showed me that it was possible to use Source Filmmaker to create dota map images. After the latest map changes made that image outdated, I needed to figure out how to use SFM to create map images myself.
Dota Workshop Tools comes with SFM, so I just opened up a new custom game project and launched SFM from there. This was my first time using SFM so I had no idea what I was doing. But eventually I ended up with this SFM session file [dotamap7.dmx]([[!!blog/creating-a-dota-map-image/dotamap7.dmx]])
It's basically a 45 second long movie with the camera panning over the dota map. It starts in the bottom left corner and ends up in the top right corner moving in a snake-like pattern. The camera distance is set to a very large value and the field of view is set to 1.
Here's the camera prop values I set in the element viewer.
![Camera X]([[!!images/blog/creating-a-dota-map-image/camera_props.png]])
Here's some views of the Graph Editor timeline which describe the movement of the camera.
![Camera X]([[!!images/blog/creating-a-dota-map-image/grapheditor_x.png]])
The camera X position goes from -3000 to 10500 over 5 seconds which represents one left to right sweep over the map.
![Camera Y]([[!!images/blog/creating-a-dota-map-image/grapheditor_y.png]])
The Y position remains constant during this time. Then the X position stays constant for 1 second while the Y position increases. This sets up for the next row.
The X position then moves in the opposite direction from 10500 to -3000 over 5 seconds, which makes a right to left sweep over the map. Then the X position stays constant for another 1 second while the Y position goes up to start another row like before. This pattern is repeated until the whole map is covered.
![Camera XY]([[!!images/blog/creating-a-dota-map-image/grapheditor_xy.png]])
The Z position and XYZ rotation are constant.
![Camera Z]([[!!images/blog/creating-a-dota-map-image/grapheditor_z.png]])
![Camera rotation XYZ]([[!!images/blog/creating-a-dota-map-image/grapheditor_rot_xyz.png]])
Here's an example movie demonstrating the camera movement.
To get the images necessary to form the dota map image, the movie is exported as pngs with a resolution of 3840x2160 at 1 FPS. Since the camera movement is set to take 5 seconds for one horizontal pass over the map that results in 5 frames per row. There's 9 rows so that's 45 images in total which come together in a 5x9 grid to form a complete image of the dota map.
I stitch together the images using Microsoft's free [Image Compositor Editor](http://research.microsoft.com/en-us/um/redmond/projects/ice/)
![Map Stitching]([[!!images/blog/creating-a-dota-map-image/map_stitching.png]])
## Mapping Image Coordinates to In-game Coordinates ##
Now that I have a dota map image, the next step to using it in my interactive map is to figure out how the pixel coordinates map to in-game coordinates.
To do this I start with two in-game coordinates and find the corresponding pixel coordinates on the map image. Then I get the ratio of the X component distance between the two in-game coordinates and the two map pixel coordinates. I do the same thing for the Y component. So now I have two scale factors that I can just multiply map pixel coordinates by to get the corresponding in-game coordinate.
Here's a concrete example that I used for this latest map.
The two coordinates I'm going to use are:
* map origin (0,0)
* Radiant bottom right Tier 4 tower (-5389.603515625, -5216.4809570313)
I found the tower coordinate by just loading the map in Hammer and selecting the tower entity.
Then I got the corresponding pixel coordinates by just opening the image in Photoshop and moving my mouse over the right location and reading the x,y in the info window.
So the two coordinates on the map are:
* map origin (7800, 8280)
* Radiant bottom right Tier 4 tower (2840, 13064)
The X distance from origin to tower in-game is |-5389.603515625 - 0| = 5389.603515625 and in pixels it's |2840 - 7800| = 4960.
The ingame/image ratio is 5389.603515625/4960 = 1.08661361202
For my purposes I need to get what the bounds of the map image are in terms of in-game coordinates. My image is 16384x16384 so I need to figure out what (0,0), (0, 16384), (16384, 0), and (16384, 16384) correspond to in-game. I can do this using the map origin pixel coordinate (7800, 8280) and the scale factor of 5389.603515625/4960 = 1.08661361202 I just calculated.
The X distance from the map origin to the right boundary is |16384 - 7800| = 8584 pixels. Converting this to in-game coordinates is 8584 * 5389.603515625/4960 = 9327.49124559. So the corresponding in-game X coordinate of my image's right boundary is 9327.49124559 units from the origin. Since the in-game map origin is (0, 0), then the right boundary is just 0 + 9327.49124559 = 9327.49124559.
The left boundary calculation is -7800 * 5389.603515625/4960 = -8475.58617377
So now I know that the X bounds on my image [0, 16384] map to [-8475.58617377, 9327.49124559] in-game.
Using the same method for the Y bounds I get [9028.52473332, -8836.61406266]. One thing to note is that the direction the Y component increases in the image pixel coordinate system is opposite the in-game coordinate system which is why the order is different. You can also see how this is accounted for in the coordinate conversion code used in my interactive map. [Image to in-game](https://github.com/devilesk/dota-interactive-map/blob/master/src/interactivemap.js#L206) and [in-game to image](https://github.com/devilesk/dota-interactive-map/blob/master/src/interactivemap.js#L216)
So the top left of the image (0, 0) in pixels is (-8475.58617377, 9028.52473332) in-game and bottom right in the image (16384, 16384) is (9327.49124559, -8836.61406266) in-game. You can see the values appearing in the code [here](https://github.com/devilesk/dota-interactive-map/blob/master/src/interactivemap.js#L22-L23)
## Creating Tiles ##
The last thing I need to do to make these images usable in my interactive map is split them into tiles.
I use [ImageMagick](http://www.imagemagick.org/) to do the splitting. Here's the batch script I made.
The first few lines just set up 5 folders numbered 0 to 5 and makes sure they're empty. Then I start by converting the png I have to a lower quality jpg because I don't want to be using a 350mb+ image. I scale down the images and pad them to some multiple of 256, because 256 is my tile size. The last few lines do the splitting. I need to tell ImageMagick to do everything on disk and I specify a specific hard drive and folder for it, because doing everything in memory didn't work. Splitting the first and largest image takes over an hour, but it is a very large image and it has to use disk for everything.
And that's it. That's how I create a dota map image for my interactive map.


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TAYLOR JOHNSTON
05.25.17
As new Ohio University students settle into their residence hall rooms, it is important that they are able to identify OU administrators and Athens officials as they walk around campus and Uptown.
Here is a list of the 10 people OU students need to know.
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By downloading or using the app, these terms will automatically apply to you – you should make sure therefore that you read them carefully before using the app. You’re not allowed to copy or modify the app, any part of the app, or our trademarks in any way. You’re not allowed to attempt to extract the source code of the app, and you also shouldn’t try to translate the app into other languages or make derivative versions. The app itself, and all the trademarks, copyright, database rights, and other intellectual property rights related to it, still belong to Matrix Labz.
Matrix Labz is committed to ensuring that the app is as useful and efficient as possible. For that reason, we reserve the right to make changes to the app or to charge for its services, at any time and for any reason. We will never charge you for the app or its services without making it very clear to you exactly what you’re paying for.
The ElephantVPN app stores and processes personal data that you have provided to us, to provide my Service. It’s your responsibility to keep your phone and access to the app secure. We therefore recommend that you do not jailbreak or root your phone, which is the process of removing software restrictions and limitations imposed by the official operating system of your device. It could make your phone vulnerable to malware/viruses/malicious programs, compromise your phone’s security features and it could mean that the ElephantVPN app won’t work properly or at all.
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Link to Terms and Conditions of third-party service providers used by the app
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With respect to Matrix Labz’s responsibility for your use of the app, when you’re using the app, it’s important to bear in mind that although we endeavor to ensure that it is updated and correct at all times, we do rely on third parties to provide information to us so that we can make it available to you. Matrix Labz accepts no liability for any loss, direct or indirect, you experience as a result of relying wholly on this functionality of the app.
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Coffee is the beverage of champions. We talk about how coffee is extracted and other stuff related to coffee.
World runs on coffee
Coffee is one of the most popular beverages on the planet alongside water and tea. It is the second most traded commodity after oil. Coffee has also given rise to a culture of coffee shops or coffee houses which seems to be a recent phenomenon. But are they really a thing of 21st century or do they have some history? Let’s find out.
Beverage of choice
Coffee is a magical drink of choice. Its ever-increasing popularity can be attributed to its versatility and of course Caffeine the magic alkaloid that gives you bliss as you sip your coffee down.
- The coffee plant originated in Africa
- Two different variety of Coffee:
- Arabica: The more popular and expensive variety, this is considered to be milder and more flavourful. The bean is flatter and elongated and requires a cool sub-tropical climate. Typically grows around the elevation ranging from 2000 - 6500 ft where it needs sun, moisture and shade. Largest producers of Arabica are Latin America, Asia, Arabia and East Africa.
- Robusta: This is cheaper to produce but has almost twice the quantity of caffeine than the Arabica coffee. Robusta beans are rounder and can grow at lower altitudes (sea level - 2000 ft.). Central and Western Africa, South East Asia and Brazil are the leading producers of Robusta.
History of Coffee
- Coffee plants grew in the wild in the area called Kefa or Kaffa in Ethiopia. These plants were taken to Arabia and cultivated around the 15th century.
- Legend is attributed to a goatherd by the name Kaldi who noticed that his heard started behaving weirdly after eating certain berries. He tasted them and felt ecstatic as well. He made coffee popular according to the legend.
- Since it was an intoxicating drink, Islam forbade drinking coffee since such drinks are prohibited by Quran.
- Despite the risk, coffee lovers grew in leaps and bounds within Arabia and drink became popular.
- This paved way for the creation of “Coffeehouses” called Qahveh Khanehs and gave rise to the coffee house culture. They first appeared in Mecca around the 15th century and were popular places to catch up with friends.
- Coffee came to Europe around 16th and 17th centuries and spread across Europe.
- Some countries prohibited coffee stating they are magical potions.
- Coffee houses became popular in Britain and British colonies by 17th century.
- Yemen was almost the only supplier of coffee until the close of 17th century. But the popularity of the beverage took it all the way to Java in Indonesia and Americas along with Hawaii (since 1825).
- By 20th century Brazil became a leading producer and exporter of Coffee.
- In 19th and 20th centuries, coffee machines came into existence and various new methods of producing coffee came into being.
- Instant coffee came into popularity and production was perfected post-1950 leading to the increased production of Robusta.
Caffeine - the magical ingredient
- Caffeine is an alkaloid which is present in coffee, tea, cocoa and in some other nuts and berries.
- It normally is a white powder highly soluble in hot water.
- Caffeine stimulates central nervous system, heart and kidneys. It is also a mild diuretic (removes urine).
- Used as an antidote to respiratory depression caused by overdose.
- Negative effects: Insomnia, anxiety, irritation etc.
- Positive effects: Increased alertness and improved motor performance.
- Decaffeinated coffee became popular to control the amount of coffee in the system.
Production of coffee
- Coffee cherries contain coffee beans, usually two. Single beaned berries are called pea beans and are said to be sweeter and flavourful.
- Beans are separated from the berries and the dried to reduce the moisture content from 65-70% down to 12-13%.
- Three techniques are used for processing coffee:
- Dry method: In this process, the berries are placed under the sun on concrete or brick patios. This is the simplest way of processing and is least expensive. Practised in areas with dry and warm climate like Ethiopia and Brazil. The berries are raked to move them around and to prevent fermentation. The process takes few days to around four weeks. Overdrying breaks the coffee and underlying causes fungi and other bacteria attack. Once dried, the coffee beans are separated by machinery.
- Wet method: This method produces better quality coffee and requires much more sophisticated equipment than the dry method. The skin and the pulp are removed using a pulping machine that uses a rotating drum. The thin layer of pulp that still remains is removed by fermentation that happens over three days as the wet seeds are kept in tanks. Remaining pulp is washed off and the beans are dried under the sun or by passing hot air.
- Pulped natural process: In this third way of processing, the pulp is removed mechanically but there is no intermediate fermentation and the remaining pulp is removed once the beans dry off. This is a combination of dry and wet techniques. The beans produced in this method are both sweet and acidic.
Post the processing the coffee is graded and stored.
Roasting and Grinding
- Coffee beans are roasted between 180-250 °C from 7-20 mins releasing carbon dioxide, carbon monoxide and water.
- The beans lose weight and expand under the roasting process.
- Roasting gives the aroma to the coffee.
- Overroasting kills the flavour which is done in the case of Robusta beans to remove the strong coffee flavour.
- The old method was to roast coffee beans in a rotating metal cylinder above a source of heat. Modern method uses hot air to roast the beans. Rotation ensures even roasting.
- Grinding is either done before packaging or done by the consumer depending on the brew method involved. We use a French Press, hence coarsely ground coffee is what purchase.
Packaging and Brewing
- Coffee needs to be sealed airtight to prevent moisture from reaching it.
- Modern methods use inert gas and aluminium or polyethene compounds.
- Different methods of brewing:
- French Press
- Pour over
- Moka Pot
- Aeropress
- Cold brewing
- Espresso
- Instant coffee is a soluble coffee concentrate which does not need to be brewed but the flavour is usually inferior to brewed coffee.
- Kopi Luwak (Civet coffee).
Decaf
- For people who do not tolerate caffeine, it is removed from the coffee using chemical solvents, carbon filtering or carbon dioxide extraction. Caffeine is extracted just before roasting.
- The chemical agent is either used to treat the beans directly or the water-based solution in which the beans are soaked.
- Swiss water process is used to get more flavourful beans. The first batch of beans are processed in hot water and that water is used for washing the next bath of the beans.
- 100% decaf is not a possibility.
Our favourite coffee makers/shops
Please note that this is not an endorsement, we just love their coffee that we want everyone to know about them .
Sources
Image: Vishnu’s 500px


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| DOSE: |
10.9 g |
oral |
Kratom |
(tea) |
Originally posted to:
Shaman Australis Forums, submitted to erowid.
Following my prevoius low dose experiments with Mitragyna speciosa which consisted of just a couple of older mid-sized leaves, I was offered the opportunity to play guinea pig one sunny october afternoon with a 'high dose' Mitragyna decoction.
My previous experiments have provided a short acting but definite buzz characterised by relaxation with mild euphoria. It is not sedative like a tranquiliser but rather a tension reliever.
My experiment consisted of the consumption of 10.9g of nearly dried leaf. This was cut into strips and placed in a teapot to steep. Several slices of lemon were added for flavour and presumably to assist in extraction by converting freebase alakloids to a citrate salt. The pot sat to steep for 20 minutes.
The first pot was in roughly 3 equal cupfuls, with a second lot of boiling water to rextract residual material when that was exhausted.
12:08 pm First 1 and 1/2 cups consumed. Mildly btter taste. Bitter is usually promising. The full pot means the material is diluted in fair amount of water.
12:24 20 minutes is roughly the same timeframe as prevoius experiments though in both cases some effects are felt from about 10 to 15 minutes. Slight loss of visual focus. Lie down on Couch.
12:28 pm The start of definite effects that can be distinguished from any anticipatory excitement or suggestive effects. Feeling quite blissful and relaxed but simultaneously animated. Body relaxation, mental calm with no loss of clarity and no nausea. Interestingly this is relaxing to the nerves but without any analgesic effect, sore parts of body (knee) still sore.
12:32 Pulse 72 beats per minute, well within normal.
12:40 Effects unchanged, Pupils noted as slightly dilated.
12:45 I drink another 1/2 cup of Tea. Darker in colour now. This tea gives a really relaxed feeling but without feeling tired. When not doing anything feeling very comfortable and still but when something happens able to jump up and continue to perform activities well. Concentration wanders when not performing tasks. Given the compounds structural relation to Opiates, LSD and psilocybin i was hoping for a true hallucinogen with definite increase in cognitive performance, instead it is the opposite, it calms and quietens the mind - except when needed.
12:50 Distinct body stone to this. Decant remaining liquor into cups and pour water for second extraction. Starting to feel a crossover between animated and clear relaxed mood and that of mild intoxication - like one too many beers.
1:05 Drink another 1/2 a cup. Feeling drowsy but not tired still. Very relaxed and unmotivated., more specifically less likely that desire for an object, in this case a cigarette, will follow through with the motivation to actually begin the task voluntarily. In contrast a short phonecall was simply necessary and was no trouble to perform.
1:10 Drink last of first extraction.
1:15 Poured 1 of 3 new cups in the 2nd extraction. Take a small sip and then fairly suddenly overcome and slip into a twighlight dreamy stage, on the couch. I notice its a beautiful day and the sounds seem to travel further.Very pleasant, begin to fall into a light sleep. Deeply relaxing to the muscles and mind. Dreams shifting and full of people, objects and places - seems no particular reason, just flowing dreams.
2:05 Phone rings and wakes me from sleep. Feeling much more alert and not at all groggy. Tension in shoulders seems to have dissipated
2:09 Drink rest of tea
2:30 Back to normal.
I think we may have come across a substitute for the 'after work' beer or cannabis. A little to relax, and a little more to go to 'Nod off'. The best thing about this is that there is a mild euphoria that highlights a deep feeling of relaxation that is not dependent on being sedated.
I was a little disappointed about the lack of analgesic effect after similar experiments with Corydalis turtschaninovii Tetrahydropalmatine and others) which gives a similar but slightly less pleasant feeling in equal doses along with relief of muscle or bone pain (sprains etc.)
I am primarily a substituted tryptamine user, and my only experiences with Opiates have been from Morphine once in Hospital, Corydalis tubers for joint pain, and codeine for headaches. I can easily say that this is the most pleasant of all of those. With the benefit of being non-addictive. I definitely felt a changeover that took away the energy and replaced it with a more langurous and dreamy tone.
There is no comedown at this level, and although i found it harder to get started again later in the day, i think this is due to relaxation not persistent effects.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


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If you look up the CreateProcess() function in Win32 help, you'll notice that there are more than three dozen parameters that you can optionally setup before calling it. The good news is that you have to setup only a small number of those parameters to make a simple CreateProcess() call as demonstrated in the following function:
function CreateProcessSimple(sExecutableFilePath: string ): string; var pi: TProcessInformation; si: TStartupInfo; begin FillMemory(@si, sizeof(si), 0); si.cb := sizeof(si); CreateProcess( nil, PChar( sExecutableFilePath ), // path to the executable file: nil, nil, False, NORMAL_PRIORITY_CLASS, nil, nil, si, pi ); // "after calling code" such as // the code to wait until the // process is done should go here CloseHandle(pi.hProcess); CloseHandle(pi.hThread); end;
Now, all you have to do is call CreateProcessSimple(), let's say to run Windows' Notepad:
CreateProcessSimple('notepad');


On track for front-end development at Epicodus,
Practicing CSS without the use of Bootstrap or any other frameworks.
Classic Javascript problem for implementing loops to return output based on user input.
Practice with Object-Oriented Javascript
© 2016 Taylor Pokoj.


This is a block of text to represent a paragraph that you will want to style. This might be an explanation of of the list that follows, it is all contained within a single paragraph tag.


You tried to escape, however, the fishermen saw you. They caught you again, and sadly, you were killed and eaten for dinner.


There are five runs in this part. You will see a sequence of words on the center of the screen. All words belong to five chosen categories: animals, colors, clothes, countries, and sports. Exactly three of these categories will be present in each run, but the words' categories vary from run to run. At the end of each run, you will be asked to type the last word in each of those three categories. The category of every word will be hinted at the bottom of the screen. Please do your best.
| trial # | User Inputs | Correct Answer |


Your display name. If left blank, your name will be (TBD)
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Bot : {{response}}
What can you ask the chat-bot?
Here is some examples
- Please tell me more about IBM
- IBM?
- Thanks
- absolutely
- My name is *your name*
- Who are you?
- Please tell me your name
- Could you mind helping me with this?
- What can you do?
- Tell me more about yourself?
- Where are you from?
- Why are you here?
- Why do you exist
- Do you exercise?
- Who are your parents?

- What is AI?
- How are you programmed?
- How are you feeling?
- Where were you born
- Do you have any hobby?
- How clever are you?
- Having fun?
- you look bored
- I'm lonely
- I'm sad
- I need a cheer up right now
- What are you thinking right now?
- Are you tired?
- Your age?
- Are you single?
- What us your favorite movie?
- Do you like food??
- Do you drink?
- Why are you here?
- what drama do you like?
Here are all the API command
Here is some examples
- Give me a dog fact
- Tell me a pun
- Tell me a funny dad joke
- Panda fact
- Chuck Norris joke