Classes |
| class | Gecode::FloatNumBranch |
| | Value description class for branching. More...
|
| class | Gecode::FloatAFC |
| | Recording AFC information for float variables. More...
|
| class | Gecode::FloatActivity |
| | Recording activities for float variables. More...
|
| class | Gecode::FloatVarBranch |
| | Which variable to select for branching. More...
|
| class | Gecode::FloatValBranch |
| | Which values to select for branching first. More...
|
| class | Gecode::FloatAssign |
| | Which values to select for assignment. More...
|
Modules |
| | Variable selection for float variables |
| | Value selection for float variables |
| | Value selection for assigning float variables |
Typedefs |
| typedef bool(* | Gecode::FloatBranchFilter )(const Space &home, FloatVar x, int i) |
| | Branch filter function type for float variables.
|
| typedef double(* | Gecode::FloatBranchMerit )(const Space &home, FloatVar x, int i) |
| | Branch merit function type for float variables.
|
| typedef FloatNumBranch(* | Gecode::FloatBranchVal )(const Space &home, FloatVar x, int i) |
| | Branch value function type for float variables.
|
| typedef void(* | Gecode::FloatBranchCommit )(Space &home, unsigned int a, FloatVar x, int i, FloatNumBranch nl) |
| | Branch commit function type for float variables.
|
Functions |
| BrancherHandle | Gecode::branch (Home home, const FloatVarArgs &x, FloatVarBranch vars, FloatValBranch vals, FloatBranchFilter bf=NULL, FloatVarValPrint vvp=NULL) |
| | Branch over x with variable selection vars and value selection vals.
|
| BrancherHandle | Gecode::branch (Home home, const FloatVarArgs &x, TieBreak< FloatVarBranch > vars, FloatValBranch vals, FloatBranchFilter bf=NULL, FloatVarValPrint vvp=NULL) |
| | Branch over x with tie-breaking variable selection vars and value selection vals.
|
| BrancherHandle | Gecode::branch (Home home, FloatVar x, FloatValBranch vals, FloatVarValPrint vvp=NULL) |
| | Branch over x with value selection vals.
|
| BrancherHandle | Gecode::assign (Home home, const FloatVarArgs &x, FloatAssign vals, FloatBranchFilter fbf=NULL, FloatVarValPrint vvp=NULL) |
| | Assign all x with value selection vals.
|
| BrancherHandle | Gecode::assign (Home home, FloatVar x, FloatAssign vals, FloatVarValPrint vvp=NULL) |
| | Assign x with value selection vals.
|


--- layout: default title: Contribute icon: ---
To contribute to Spine Event Engine, please fork the GitHub Spine Event Repository repository.
Email: spine-developers@teamdev.com


Lumen
Color temperature
Sunset
Daylight
Intensity
Lighter
Darker
Schedule
between
Off
From
Until
Save
Close


Satan is a deceiver and the father of lies, he will try to capture your thoughts ﬁrst, then he will help you create a story ﬁlled with half truths, lies and accusations so he can capture your emotions and ﬁnally your will. He wants you to make unwise choices based on F.E.A.R. so he can kill your body, rob you of your ﬁnances, and destroy your relationships.
| False | |
| Evidence | |
| That Appears | |
| Real |
It becomes a story when we do not have all the facts and we need to ﬁll in the gaps with our own imagination or the accuser of the brethren helps us ﬁll in the gaps with his F.E.A.R.
It is not the facts that create the emotion, it is the story we create around the facts.
The meaning determines the feeling. We need to be aware of the meaning we are attaching to the facts and then challenge that meaning with the truth. Often times it means seeking counsel from others so we can recognize reality and allow truth to set us free.


Actions, resources, and condition keys for AWS Glue DataBrew
AWS Glue DataBrew (service prefix:
databrew
) provides the following service-specific resources, actions, and condition context keys for use in IAM permission policies.
References:
-
Learn how to configure this service .
-
View a list of the API operations available for this service .
-
Learn how to secure this service and its resources by using IAM permission policies.
Topics
Actions defined by AWS Glue DataBrew
You can specify the following actions in the
Action
element of an IAM policy statement. Use policies to grant permissions to perform an operation in AWS. When you use an action in a policy, you usually allow or deny access to the API operation or CLI command with the same name. However, in some cases, a single action controls access to more than one operation. Alternatively, some operations require several different actions.
The
Resource types
column of the Actions table indicates whether each action supports resource-level permissions. If there is no value for this column, you must specify all resources ("*") to which the policy applies in the
Resource
element of your policy statement. If the column includes a resource type, then you can specify an ARN of that type in a statement with that action. If the action has one or more required resources, the caller must have permission to use the action with those resources. Required resources are indicated in the table with an asterisk (*). If you limit resource access with the
Resource
element in an IAM policy, you must include an ARN or pattern for each required resource type. Some actions support multiple resource types. If the resource type is optional (not indicated as required), then you can choose to use one of the optional resource types.
The
Condition keys
column of the Actions table includes keys that you can specify in a policy statement's
Condition
element. For more information on the condition keys that are associated with resources for the service, see the
Condition keys
column of the Resource types table.
For details about the columns in the following table, see Actions table .
| Actions | Description | Access level | Resource types (*required) | Condition keys | Dependent actions |
|---|---|---|---|---|---|
| BatchDeleteRecipeVersion | Grants permission to delete one or more recipe versions | Write | |||
| CreateDataset | Grants permission to create a dataset | Write | |||
| CreateProfileJob | Grants permission to create a profile job | Write | |||
| CreateProject | Grants permission to create a project | Write | |||
| CreateRecipe | Grants permission to create a recipe | Write | |||
| CreateRecipeJob | Grants permission to create a recipe job | Write | |||
| CreateRuleset | Grants permission to create a ruleset | Write | |||
| CreateSchedule | Grants permission to create a schedule | Write | |||
| DeleteDataset | Grants permission to delete a dataset | Write | |||
| DeleteJob | Grants permission to delete a job | Write | |||
| DeleteProject | Grants permission to delete a project | Write | |||
| DeleteRecipeVersion | Grants permission to delete a recipe version | Write | |||
| DeleteRuleset | Grants permission to delete a ruleset | Write | |||
| DeleteSchedule | Grants permission to delete a schedule | Write | |||
| DescribeDataset | Grants permission to view details about a dataset | Read | |||
| DescribeJob | Grants permission to view details about a job | Read | |||
| DescribeJobRun | Grants permission to view details about job run for a given job | Read | |||
| DescribeProject | Grants permission to view details about a project | Read | |||
| DescribeRecipe | Grants permission to view details about a recipe | Read | |||
| DescribeRuleset | Grants permission to view details about a ruleset | Read | |||
| DescribeSchedule | Grants permission to view details about a schedule | Read | |||
| ListDatasets | Grants permission to list datasets in your account | Read | |||
| ListJobRuns | Grants permission to list job runs for a given job | Read | |||
| ListJobs | Grants permission to list jobs in your account | Read | |||
| ListProjects | Grants permission to list projects in your account | Read | |||
| ListRecipeVersions | Grants permission to list versions in your recipe | Read | |||
| ListRecipes | Grants permission to list recipes in your account | Read | |||
| ListRulesets | Grants permission to list rulesets in your account | Read | |||
| ListSchedules | Grants permission to list schedules in your account | Read | |||
| ListTagsForResource | Grants permission to retrieve tags associated with a resource | Read | |||
| PublishRecipe | Grants permission to publish a major verison of a recipe | Write | |||
| SendProjectSessionAction | Grants permission to submit an action to the interactive session for a project | Write | |||
| StartJobRun | Grants permission to start running a job | Write | |||
| StartProjectSession | Grants permission to start an interactive session for a project | Write | |||
| StopJobRun | Grants permission to stop a job run for a job | Write | |||
| TagResource | Grants permission to add tags to a resource | Tagging | |||
| UntagResource | Grants permission to remove tags associated with a resource | Tagging | |||
| UpdateDataset | Grants permission to modify a dataset | Write | |||
| UpdateProfileJob | Grants permission to modify a profile job | Write | |||
| UpdateProject | Grants permission to modify a project | Write | |||
| UpdateRecipe | Grants permission to modify a recipe | Write | |||
| UpdateRecipeJob | Grants permission to modify a recipe job | Write | |||
| UpdateRuleset | Grants permission to modify a ruleset | Write | |||
| UpdateSchedule | Grants permission to modify a schedule | Write |
Resource types defined by AWS Glue DataBrew
The following resource types are defined by this service and can be used in the
Resource
element of IAM permission policy statements. Each action in the
Actions table
identifies the resource types that can be specified with that action. A resource type can also define which condition keys you can include in a policy. These keys are displayed in the last column of the Resource types table. For details about the columns in the following table, see
Resource types table
.
| Resource types | ARN | Condition keys |
|---|---|---|
| Project |
arn:$
{
Partition}:databrew:$
{
Region}:$
{
Account}:project/$
{
ResourceId}
|
|
| Dataset |
arn:$
{
Partition}:databrew:$
{
Region}:$
{
Account}:dataset/$
{
ResourceId}
|
|
| Ruleset |
arn:$
{
Partition}:databrew:$
{
Region}:$
{
Account}:ruleset/$
{
ResourceId}
|
|
| Recipe |
arn:$
{
Partition}:databrew:$
{
Region}:$
{
Account}:recipe/$
{
ResourceId}
|
|
| Job |
arn:$
{
Partition}:databrew:$
{
Region}:$
{
Account}:job/$
{
ResourceId}
|
|
| Schedule |
arn:$
{
Partition}:databrew:$
{
Region}:$
{
Account}:schedule/$
{
ResourceId}
|
Condition keys for AWS Glue DataBrew
AWS Glue DataBrew defines the following condition keys that can be used in the
Condition
element of an IAM policy. You can use these keys to further refine the conditions under which the policy statement applies. For details about the columns in the following table, see
Condition keys table
.
To view the global condition keys that are available to all services, see Available global condition keys .
| Condition keys | Description | Type |
|---|---|---|
| aws:RequestTag/${TagKey} | Filters access by the tags that are passed in the request | String |
| aws:ResourceTag/${TagKey} | Filters access by the tags associated with the resource | String |
| aws:TagKeys | Filters access by the tag keys that are passed in the request | ArrayOfString |


pips Red=111 White=127
(CorrectAnswer= 0/0, ErrorScore= 0)
In “Backgammon in the Wind” one of the long articles was entitled “out of the Box”. The theme of the article was how computer programs such as Extreme Gammon (XG) have broadened our thinking in the last twenty-five years.
Before the bots we were reliant on manual rollouts. Although they could help they could not give definitive answers because they were statistically unreliable. Theory development was very slow.
As a simple example suppose your opponent opens with 52 and plays 24/22, 13/8 and you reply with 64. In the pre-bot era the two commons moves were 24/14 and 8/2, 6/2. Now we “know” that, by a small margin, the correct response is 13/3*. Taking half of your opponents roll away is fractionally better than running or making the point.
The original article looked at positions where the bots had changed our thinking and in some instances they had found plays that nobody would have considered considered in the pre-bot era. I keep a file of such positions and add to it when I find an “Out of the Box” play.
That happened earlier this year when I came across this position with Black to play 65. Over the board 8/2, 6/1 was played but that leaves Black’s four outfield checkers stranded. A better attempt is 16/11, 8/2 but that still leaves a position that is difficult to clean up.
Before putting the position into XG I assume 16/11, 8/2 would come out as the best play. How wrong I was! It quickly found 16/11, 16/10 (!!) leaving a voluntary triple shot. Once you look at the play the logic is obvious: it solves the problem of clearing the 16-pt; it duplicates White’s one and threes and finally it reduces the position to a ‘pay me now, pay me later’ problem. Black should take the risk now before White’s board is any stronger.
If the blots are missed Black is well ahead in the race and the blots should be relatively easy to tidy up. The play is possible because of the strength of Black’s home board.
Imagine trying to make this play in the pre-bot era in a chouette. You would have been lynched by your team-mates! However, an XG rollout demonstrates that any play other than 16/11, 16/10 is a blunder or worse.
Thus we develop our backgammon knowledge and our ability to think about such positions. Solving these “Out of the Box’ problems helps us to improve our overall level of play and it is why today’s masters are so much stronger than the top players of the 1970s and 1980s.
Before the bots we were reliant on manual rollouts. Although they could help they could not give definitive answers because they were statistically unreliable. Theory development was very slow.
As a simple example suppose your opponent opens with 52 and plays 24/22, 13/8 and you reply with 64. In the pre-bot era the two commons moves were 24/14 and 8/2, 6/2. Now we “know” that, by a small margin, the correct response is 13/3*. Taking half of your opponents roll away is fractionally better than running or making the point.
The original article looked at positions where the bots had changed our thinking and in some instances they had found plays that nobody would have considered considered in the pre-bot era. I keep a file of such positions and add to it when I find an “Out of the Box” play.
That happened earlier this year when I came across this position with Black to play 65. Over the board 8/2, 6/1 was played but that leaves Black’s four outfield checkers stranded. A better attempt is 16/11, 8/2 but that still leaves a position that is difficult to clean up.
Before putting the position into XG I assume 16/11, 8/2 would come out as the best play. How wrong I was! It quickly found 16/11, 16/10 (!!) leaving a voluntary triple shot. Once you look at the play the logic is obvious: it solves the problem of clearing the 16-pt; it duplicates White’s one and threes and finally it reduces the position to a ‘pay me now, pay me later’ problem. Black should take the risk now before White’s board is any stronger.
If the blots are missed Black is well ahead in the race and the blots should be relatively easy to tidy up. The play is possible because of the strength of Black’s home board.
Imagine trying to make this play in the pre-bot era in a chouette. You would have been lynched by your team-mates! However, an XG rollout demonstrates that any play other than 16/11, 16/10 is a blunder or worse.
Thus we develop our backgammon knowledge and our ability to think about such positions. Solving these “Out of the Box’ problems helps us to improve our overall level of play and it is why today’s masters are so much stronger than the top players of the 1970s and 1980s.
1. Cubeful 2-ply 16/11 16/10 Eq.: +0.071 0.531 0.105 0.005 - 0.469 0.119 0.005 2. Cubeful 2-ply 16/11 8/2 Eq.: -0.056 (-0.127) 0.489 0.100 0.003 - 0.511 0.128 0.003 3. Cubeful 2-ply 8/2 6/1 Eq.: -0.093 (-0.164) 0.491 0.073 0.000 - 0.509 0.128 0.001 4. Cubeful 2-ply 16/5 Eq.: -0.096 (-0.167) 0.477 0.104 0.003 - 0.523 0.116 0.003 5. Cubeful 2-ply 16/10 8/3 Eq.: -0.118 (-0.189) 0.466 0.119 0.005 - 0.534 0.142 0.004


001/* 002// This software is subject to the terms of the Eclipse Public License v1.0 003// Agreement, available at the following URL: 004// http://www.eclipse.org/legal/epl-v10.html. 005// You must accept the terms of that agreement to use this software. 006// 007// Copyright (C) 2001-2005 Julian Hyde 008// Copyright (C) 2005-2009 Pentaho and others 009// All Rights Reserved. 010// 011// jhyde, 21 December, 2001 012*/ 013package mondrian.rolap; 014 015import mondrian.olap.Id; 016 017import java.util.List; 018 019/** 020 * A MemberSource has the basic operations to read the members of a 021 * {@link RolapHierarchy hierarchy}. 022 * 023 *
A MemberSource may optionally support writeback to a 024 * {@link MemberCache}. During the initialization of a 025 * MemberSource, the consumer calls {@link #setCache}; the return 026 * value indicates whether the MemberSource supports 027 * cache-writeback. 028 * 029 *
A <dfn>custom member reader</dfn> is a user-defined class which implements 030 * the operations to retrieve members. It either implements the 031 * MemberSource interface, or the derived interface 032 * {@link MemberReader}, which has more operations. In addition to the interface 033 * methods, the class must have a constructor which takes parameters 034 * ({@link RolapHierarchy}, {@link java.util.Properties}) and 035 * throws no exceptions. To declare a hierarchy based upon the class, use the 036 * memberReaderClass attribute of the 037 * <Hierarchy> element in your XML schema file; the 038 * properties constructor parameter is populated from any 039 * <ocde><Param name="..." value="..."> child elements. 040 * 041 * @see MemberReader 042 * @see MemberCache 043 * 044 * @author jhyde 045 * @since 21 December, 2001 046 */ 047public interface MemberSource { 048 /** 049 * Returns the hierarchy that this source is reading for. 050 */ 051 RolapHierarchy getHierarchy(); 052 /** 053 * Sets the cache which this MemberSource will write to. 054 * 055 *
Cache-writeback is optional (for example, {@link SqlMemberSource} 056 * supports it, and {@link ArrayMemberSource} does not), and the return 057 * value from this method indicates whether this object supports it. 058 * 059 *
If this method returns true, the {@link #getMembers}, 060 * {@link #getRootMembers} and {@link #getMemberChildren} methods must 061 * write to the cache, in addition to returning members as a return value. 062 * 063 * @param cache The MemberCache which the caller would like 064 * this MemberSource to write to. 065 * @return Whether this MemberSource supports cache-writeback. 066 */ 067 boolean setCache(MemberCache cache); 068 /** 069 * Returns all members of this hierarchy, sorted by ordinal. 070 * 071 *
If this object {@link #setCache supports cache-writeaback}, also 072 * writes these members to the cache. 073 */ 074 List<RolapMember> getMembers(); 075 /** 076 * Returns all members of this hierarchy which do not have a parent, 077 * sorted by ordinal. 078 * 079 *
If this object {@link #setCache supports cache-writeback}, also 080 * writes these members to the cache. 081 * 082 * @return {@link List} of {@link RolapMember}s 083 */ 084 List<RolapMember> getRootMembers(); 085 086 /** 087 * Writes all children parentMember to children. 088 * 089 *
If this object {@link #setCache supports cache-writeback}, also 090 * writes these members to the cache. 091 */ 092 void getMemberChildren( 093 RolapMember parentMember, 094 List<RolapMember> children); 095 096 /** 097 * Returns all members which are a child of one of the members in 098 * parentMembers, sorted by ordinal. 099 * 100 *
If this object {@link #setCache supports cache-writeaback}, also 101 * writes these members to the cache. 102 */ 103 void getMemberChildren( 104 List<RolapMember> parentMembers, 105 List<RolapMember> children); 106 107 /** 108 * Returns an estimate of number of members in this hierarchy. 109 */ 110 int getMemberCount(); 111 112 /** 113 * Finds a member based upon its unique name. 114 */ 115 RolapMember lookupMember( 116 List<Id.Segment> uniqueNameParts, 117 boolean failIfNotFound); 118} 119 120// End MemberSource.java


SQLAlchemy provides abstractions for most common database data types, and a mechanism for specifying your own custom data types.
The methods and attributes of type objects are rarely used directly. Type objects are supplied to Table definitions and can be supplied as type hints to functions for occasions where the database driver returns an incorrect type.
>>> users = Table('users', metadata,
... Column('id', Integer, primary_key=True)
... Column('login', String(32))
... )
SQLAlchemy will use the Integer and String(32) type information when issuing a CREATE TABLE statement and will use it again when reading back rows SELECTed from the database. Functions that accept a type (such as Column()) will typically accept a type class or instance; Integer is equivalent to Integer() with no construction arguments in this case.
Generic types specify a column that can read, write and store a particular type of Python data. SQLAlchemy will choose the best database column type available on the target database when issuing a CREATE TABLE statement. For complete control over which column type is emitted in CREATE TABLE, such as VARCHAR see SQL Standard Types and the other sections of this chapter.
Bases: sqlalchemy.types.Integer
A type for bigger int integers.
Typically generates a BIGINT in DDL, and otherwise acts like a normal Integer on the Python side.
Bases: sqlalchemy.types.TypeEngine, sqlalchemy.types.SchemaType
A bool datatype.
Boolean typically uses BOOLEAN or SMALLINT on the DDL side, and on the Python side deals in True or False.
Construct a Boolean.
| Parameters: |
|
|---|
Bases: sqlalchemy.types._DateAffinity, sqlalchemy.types.TypeEngine
A type for datetime.date() objects.
Bases: sqlalchemy.types._DateAffinity, sqlalchemy.types.TypeEngine
A type for datetime.datetime() objects.
Date and time types return objects from the Python datetime module. Most DBAPIs have built in support for the datetime module, with the noted exception of SQLite. In the case of SQLite, date and time types are stored as strings which are then converted back to datetime objects when rows are returned.
Bases: sqlalchemy.types.String, sqlalchemy.types.SchemaType
Generic Enum Type.
The Enum type provides a set of possible string values which the column is constrained towards.
By default, uses the backend’s native ENUM type if available, else uses VARCHAR + a CHECK constraint.
Construct an enum.
Keyword arguments which don’t apply to a specific backend are ignored by that backend.
| Parameters: |
|
|---|
Bases: sqlalchemy.types.Numeric
A type for float numbers.
Returns Python float objects by default, applying conversion as needed.
Bases: sqlalchemy.types._DateAffinity, sqlalchemy.types.TypeEngine
A type for int integers.
Bases: sqlalchemy.types._DateAffinity, sqlalchemy.types.TypeDecorator
A type for datetime.timedelta() objects.
The Interval type deals with datetime.timedelta objects. In PostgreSQL, the native INTERVAL type is used; for others, the value is stored as a date which is relative to the “epoch” (Jan. 1, 1970).
Note that the Interval type does not currently provide date arithmetic operations on platforms which do not support interval types natively. Such operations usually require transformation of both sides of the expression (such as, conversion of both sides into integer epoch values first) which currently is a manual procedure (such as via func).
Construct an Interval object.
| Parameters: |
|
|---|
Bases: sqlalchemy.types._Binary
A type for large binary byte data.
The Binary type generates BLOB or BYTEA when tables are created, and also converts incoming values using the Binary callable provided by each DB-API.
Construct a LargeBinary type.
| Parameters: |
|
|---|
Bases: sqlalchemy.types._DateAffinity, sqlalchemy.types.TypeEngine
A type for fixed precision numbers.
Typically generates DECIMAL or NUMERIC. Returns decimal.Decimal objects by default, applying conversion as needed.
Construct a Numeric.
| Parameters: |
|
|---|
When using the Numeric type, care should be taken to ensure that the asdecimal setting is apppropriate for the DBAPI in use - when Numeric applies a conversion from Decimal->float or float-> Decimal, this conversion incurs an additional performance overhead for all result columns received.
DBAPIs that return Decimal natively (e.g. psycopg2) will have better accuracy and higher performance with a setting of True, as the native translation to Decimal reduces the amount of floating- point issues at play, and the Numeric type itself doesn’t need to apply any further conversions. However, another DBAPI which returns floats natively will incur an additional conversion overhead, and is still subject to floating point data loss - in which case asdecimal=False will at least remove the extra conversion overhead.
Bases: sqlalchemy.types.MutableType, sqlalchemy.types.TypeDecorator
Holds Python objects, which are serialized using pickle.
PickleType builds upon the Binary type to apply Python’s pickle.dumps() to incoming objects, and pickle.loads() on the way out, allowing any pickleable Python object to be stored as a serialized binary field.
Note: be sure to read the notes for MutableType regarding ORM performance implications.
Construct a PickleType.
| Parameters: |
|
|---|
alias of LargeBinary
Bases: object
Mark a type as possibly requiring schema-level DDL for usage.
Supports types that must be explicitly created/dropped (i.e. PG ENUM type) as well as types that are complimented by table or schema level constraints, triggers, and other rules.
Issue CREATE ddl for this type, if applicable.
Issue DROP ddl for this type, if applicable.
Bases: sqlalchemy.types.Integer
A type for smaller int integers.
Typically generates a SMALLINT in DDL, and otherwise acts like a normal Integer on the Python side.
Bases: sqlalchemy.types.Concatenable, sqlalchemy.types.TypeEngine
The base for all string and character types.
In SQL, corresponds to VARCHAR. Can also take Python unicode objects and encode to the database’s encoding in bind params (and the reverse for result sets.)
The length field is usually required when the String type is used within a CREATE TABLE statement, as VARCHAR requires a length on most databases.
Create a string-holding type.
| Parameters: |
|
|---|
Bases: sqlalchemy.types.String
A variably sized string type.
In SQL, usually corresponds to CLOB or TEXT. Can also take Python unicode objects and encode to the database’s encoding in bind params (and the reverse for result sets.)
Bases: sqlalchemy.types._DateAffinity, sqlalchemy.types.TypeEngine
A type for datetime.time() objects.
Bases: sqlalchemy.types.String
A variable length Unicode string.
The Unicode type is a String which converts Python unicode objects (i.e., strings that are defined as u'somevalue') into encoded bytestrings when passing the value to the database driver, and similarly decodes values from the database back into Python unicode objects.
It’s roughly equivalent to using a String object with convert_unicode=True, however the type has other significances in that it implies the usage of a unicode-capable type being used on the backend, such as NVARCHAR. This may affect what type is emitted when issuing CREATE TABLE and also may effect some DBAPI-specific details, such as type information passed along to setinputsizes().
When using the Unicode type, it is only appropriate to pass Python unicode objects, and not plain str. If a bytestring (str) is passed, a runtime warning is issued. If you notice your application raising these warnings but you’re not sure where, the Python warnings filter can be used to turn these warnings into exceptions which will illustrate a stack trace:
import warnings
warnings.simplefilter('error')
Bytestrings sent to and received from the database are encoded using the dialect’s encoding, which defaults to utf-8.
Create a Unicode-converting String type.
| Parameters: |
|
|---|
Bases: sqlalchemy.types.Text
An unbounded-length Unicode string.
See Unicode for details on the unicode behavior of this object.
Like Unicode, usage the UnicodeText type implies a unicode-capable type being used on the backend, such as NCLOB.
Create a Unicode-converting Text type.
| Parameters: |
|
|---|
The SQL standard types always create database column types of the same name when CREATE TABLE is issued. Some types may not be supported on all databases.
Bases: sqlalchemy.types.BigInteger
The SQL BIGINT type.
Bases: sqlalchemy.types._Binary
The SQL BINARY type.
Bases: sqlalchemy.types.LargeBinary
The SQL BLOB type.
Bases: sqlalchemy.types.Boolean
The SQL BOOLEAN type.
Bases: sqlalchemy.types.String
The SQL CHAR type.
Bases: sqlalchemy.types.Text
The CLOB type.
This type is found in Oracle and Informix.
Bases: sqlalchemy.types.Date
The SQL DATE type.
Bases: sqlalchemy.types.DateTime
The SQL DATETIME type.
Bases: sqlalchemy.types.Numeric
The SQL DECIMAL type.
Bases: sqlalchemy.types.Float
The SQL FLOAT type.
Bases: sqlalchemy.types.Integer
The SQL INT or INTEGER type.
Bases: sqlalchemy.types.Unicode
The SQL NCHAR type.
Bases: sqlalchemy.types.Unicode
The SQL NVARCHAR type.
Bases: sqlalchemy.types.Numeric
The SQL NUMERIC type.
Bases: sqlalchemy.types.SmallInteger
The SQL SMALLINT type.
Bases: sqlalchemy.types.Text
The SQL TEXT type.
Bases: sqlalchemy.types.Time
The SQL TIME type.
Bases: sqlalchemy.types.DateTime
The SQL TIMESTAMP type.
Bases: sqlalchemy.types._Binary
The SQL VARBINARY type.
Bases: sqlalchemy.types.String
The SQL VARCHAR type.
Database-specific types are also available for import from each database’s dialect module. See the sqlalchemy.dialects reference for the database you’re interested in.
For example, MySQL has a BIGINTEGER type and PostgreSQL has an INET type. To use these, import them from the module explicitly:
from sqlalchemy.dialects import mysql
table = Table('foo', meta,
Column('id', mysql.BIGINTEGER),
Column('enumerates', mysql.ENUM('a', 'b', 'c'))
)
Or some PostgreSQL types:
from sqlalchemy.dialects import postgresql
table = Table('foo', meta,
Column('ipaddress', postgresql.INET),
Column('elements', postgresql.ARRAY(str))
)
Each dialect provides the full set of typenames supported by that backend within its __all__ collection, so that a simple import * or similar will import all supported types as implemented for that backend:
from sqlalchemy.dialects.postgresql import *
t = Table('mytable', metadata,
Column('id', INTEGER, primary_key=True),
Column('name', VARCHAR(300)),
Column('inetaddr', INET)
)
Where above, the INTEGER and VARCHAR types are ultimately from sqlalchemy.types, and INET is specific to the Postgresql dialect.
Some dialect level types have the same name as the SQL standard type, but also provide additional arguments. For example, MySQL implements the full range of character and string types including additional arguments such as collation and charset:
from sqlalchemy.dialects.mysql import VARCHAR, TEXT
table = Table('foo', meta,
Column('col1', VARCHAR(200, collation='binary')),
Column('col2', TEXT(charset='latin1'))
)
User-defined types may be created to match special capabilities of a particular database or simply for implementing custom processing logic in Python.
The simplest method is implementing a TypeDecorator, a helper class that makes it easy to augment the bind parameter and result processing capabilities of one of the built in types.
To build a type object from scratch, subclass :class:UserDefinedType.
Bases: sqlalchemy.types.AbstractType
Allows the creation of types which add additional functionality to an existing type.
This method is preferred to direct subclassing of SQLAlchemy’s built-in types as it ensures that all required functionality of the underlying type is kept in place.
Typical usage:
import sqlalchemy.types as types
class MyType(types.TypeDecorator):
'''Prefixes Unicode values with "PREFIX:" on the way in and
strips it off on the way out.
'''
impl = types.Unicode
def process_bind_param(self, value, dialect):
return "PREFIX:" + value
def process_result_value(self, value, dialect):
return value[7:]
def copy(self):
return MyType(self.impl.length)
The class-level “impl” variable is required, and can reference any TypeEngine class. Alternatively, the load_dialect_impl() method can be used to provide different type classes based on the dialect given; in this case, the “impl” variable can reference TypeEngine as a placeholder.
Types that receive a Python type that isn’t similar to the ultimate type used may want to define the TypeDecorator.coerce_compared_value() method. This is used to give the expression system a hint when coercing Python objects into bind parameters within expressions. Consider this expression:
mytable.c.somecol + datetime.date(2009, 5, 15)
Above, if “somecol” is an Integer variant, it makes sense that we’re doing date arithmetic, where above is usually interpreted by databases as adding a number of days to the given date. The expression system does the right thing by not attempting to coerce the “date()” value into an integer-oriented bind parameter.
However, in the case of TypeDecorator, we are usually changing an incoming Python type to something new - TypeDecorator by default will “coerce” the non-typed side to be the same type as itself. Such as below, we define an “epoch” type that stores a date value as an integer:
class MyEpochType(types.TypeDecorator):
impl = types.Integer
epoch = datetime.date(1970, 1, 1)
def process_bind_param(self, value, dialect):
return (value - self.epoch).days
def process_result_value(self, value, dialect):
return self.epoch + timedelta(days=value)
Our expression of somecol + date with the above type will coerce the “date” on the right side to also be treated as MyEpochType.
This behavior can be overridden via the coerce_compared_value() method, which returns a type that should be used for the value of the expression. Below we set it such that an integer value will be treated as an Integer, and any other value is assumed to be a date and will be treated as a MyEpochType:
def coerce_compared_value(self, op, value):
if isinstance(value, int):
return Integer()
else:
return self
Suggest a type for a ‘coerced’ Python value in an expression.
By default, returns self. This method is called by the expression system when an object using this type is on the left or right side of an expression against a plain Python object which does not yet have a SQLAlchemy type assigned:
expr = table.c.somecolumn + 35
Where above, if somecolumn uses this type, this method will be called with the value operator.add and 35. The return value is whatever SQLAlchemy type should be used for 35 for this particular operation.
Loads the dialect-specific implementation of this type.
by default calls dialect.type_descriptor(self.impl), but can be overridden to provide different behavior.
Bases: sqlalchemy.types.TypeEngine
Base for user defined types.
This should be the base of new types. Note that for most cases, TypeDecorator is probably more appropriate:
import sqlalchemy.types as types
class MyType(types.UserDefinedType):
def __init__(self, precision = 8):
self.precision = precision
def get_col_spec(self):
return "MYTYPE(%s)" % self.precision
def bind_processor(self, dialect):
def process(value):
return value
return process
def result_processor(self, dialect, coltype):
def process(value):
return value
return process
Once the type is made, it’s immediately usable:
table = Table('foo', meta,
Column('id', Integer, primary_key=True),
Column('data', MyType(16))
)
A hook which allows the given operator to be adapted to something new.
See also UserDefinedType._adapt_expression(), an as-yet- semi-public method with greater capability in this regard.
Return a conversion function for processing bind values.
Returns a callable which will receive a bind parameter value as the sole positional argument and will return a value to send to the DB-API.
If processing is not necessary, the method should return None.
Compare two values for equality.
Return the corresponding type object from the underlying DB-API, if any.
This can be useful for calling setinputsizes(), for example.
Return True if the target Python type is ‘mutable’.
This allows systems like the ORM to know if a column value can be considered ‘not changed’ by comparing the identity of objects alone.
Use the MutableType mixin or override this method to return True in custom types that hold mutable values such as dict, list and custom objects.
Return a conversion function for processing result row values.
Returns a callable which will receive a result row column value as the sole positional argument and will return a value to return to the user.
If processing is not necessary, the method should return None.
Bases: sqlalchemy.types.AbstractType
Base for built-in types.
Return a conversion function for processing bind values.
Returns a callable which will receive a bind parameter value as the sole positional argument and will return a value to send to the DB-API.
If processing is not necessary, the method should return None.
Compare two values for equality.
Return the corresponding type object from the underlying DB-API, if any.
This can be useful for calling setinputsizes(), for example.
Return True if the target Python type is ‘mutable’.
This allows systems like the ORM to know if a column value can be considered ‘not changed’ by comparing the identity of objects alone.
Use the MutableType mixin or override this method to return True in custom types that hold mutable values such as dict, list and custom objects.
Return a conversion function for processing result row values.
Returns a callable which will receive a result row column value as the sole positional argument and will return a value to return to the user.
If processing is not necessary, the method should return None.
Bases: sqlalchemy.sql.visitors.Visitable
Defines a bind parameter processing function.
| Parameters: |
|
|---|
Compare two values for equality.
Return the corresponding type object from the underlying DB-API, if any.
This can be useful for calling setinputsizes(), for example.
Return True if the target Python type is ‘mutable’.
This allows systems like the ORM to know if a column value can be considered ‘not changed’ by comparing the identity of objects alone.
Use the MutableType mixin or override this method to return True in custom types that hold mutable values such as dict, list and custom objects.
Defines a result-column processing function.
| Parameters: |
|
|---|
Bases: object
A mixin that marks a TypeEngine as representing a mutable Python object type.
“mutable” means that changes can occur in place to a value of this type. Examples includes Python lists, dictionaries, and sets, as well as user-defined objects. The primary need for identification of “mutable” types is by the ORM, which applies special rules to such values in order to guarantee that changes are detected. These rules may have a significant performance impact, described below.
A MutableType usually allows a flag called mutable=True to enable/disable the “mutability” flag, represented on this class by is_mutable(). Examples include PickleType and ARRAY. Setting this flag to False effectively disables any mutability- specific behavior by the ORM.
copy_value() and compare_values() represent a copy and compare function for values of this type - implementing subclasses should override these appropriately.
The usage of mutable types has significant performance implications when using the ORM. In order to detect changes, the ORM must create a copy of the value when it is first accessed, so that changes to the current value can be compared against the “clean” database-loaded value. Additionally, when the ORM checks to see if any data requires flushing, it must scan through all instances in the session which are known to have “mutable” attributes and compare the current value of each one to its “clean” value. So for example, if the Session contains 6000 objects (a fairly large amount) and autoflush is enabled, every individual execution of Query will require a full scan of that subset of the 6000 objects that have mutable attributes, possibly resulting in tens of thousands of additional method calls for every query.
Note that for small numbers (< 100 in the Session at a time) of objects with “mutable” values, the performance degradation is negligible. In most cases it’s likely that the convenience allowed by “mutable” change detection outweighs the performance penalty.
It is perfectly fine to represent “mutable” data types with the “mutable” flag set to False, which eliminates any performance issues. It means that the ORM will only reliably detect changes for values of this type if a newly modified value is of a different identity (i.e., id(value)) than what was present before - i.e., instead of operations like these:
myobject.somedict['foo'] = 'bar'
myobject.someset.add('bar')
myobject.somelist.append('bar')
You’d instead say:
myobject.somevalue = {'foo':'bar'}
myobject.someset = myobject.someset.union(['bar'])
myobject.somelist = myobject.somelist + ['bar']
A future release of SQLAlchemy will include instrumented collection support for mutable types, such that at least usage of plain Python datastructures will be able to emit events for in-place changes, removing the need for pessimistic scanning for changes.
x.__init__(...) initializes x; see x.__class__.__doc__ for signature
Compare x == y.
Unimplemented.
Return True, mutable.
Bases: object
A mixin that marks a type as supporting ‘concatenation’, typically strings.
x.__init__(...) initializes x; see x.__class__.__doc__ for signature
Bases: sqlalchemy.types.TypeEngine
An unknown type.
NullTypes will stand in if Table reflection encounters a column data type unknown to SQLAlchemy. The resulting columns are nearly fully usable: the DB-API adapter will handle all translation to and from the database data type.
NullType does not have sufficient information to particpate in a CREATE TABLE statement and will raise an exception if encountered during a create() operation.


{% extends "admin_template.html" %} {% from "components/page-footer.html" import page_footer %} {% from "components/form.html" import form_wrapper %} {% block service_page_title %} Delete service {% endblock %} {% block maincolumn_content %}
This can’t be undone. You will lose:


The Banana Bird
This banana looks a lot like a bird, doesn't it? When originally posted there was some debate whether it was a hummingbird, a seagull, or a crow. I stand by my earlier statement that it is a banana.
This banana looks a lot like a bird, doesn't it? When originally posted there was some debate whether it was a hummingbird, a seagull, or a crow. I stand by my earlier statement that it is a banana.
Boller - or sweet wheat buns - is a favored snack and comfort food for Norwegians, especially enjoyed for childrens' birthdays or on a cold and rainy/snowy day coupled with hot cocoa.
One of the key ingredients of boller is cardamom - something that gives them a distinct aroma and gives them the more lengthy name "cardamom boller".
They say dinosaurs had feathers. I prefer to think they were a bit more stylish than that, as proven by this dinosaur wearing a swanky aluminium coat.
Oh yes: Sometimes when you bake boller, you put a piece of chocolate (usually dark) in the center before baking. That way when an unsuspecting recipient bites into the baked deliciousness they get a sweet surprise.
You know what's better than a chocolate covered caramel filled frog from Denmark? A chocolate covered caramel filled frog from Denmark served with juicy slices of orange.
Did I mention I like oranges?
 In spite of what the image suggests, it does in fact have wings.
On a recent trip to Europe my brothers and I invented a new game called "Pool Cue Jenga". It is the best game ever invented.
The rules are simple: You must use a pool cue to remove tiles. Only one cue can be used, and you can not use your fingers.


{% extends 'accounts/base.html' %} {% block title %}
Please correct the error{{ form.errors|pluralize }} below.
The password reset link was invalid, possibly because it has already been used. Please request a new password reset.


Seraph theme 1.0 by: seraphinush
* strictly no removing of credits, leave at least one link to my repo
* you cannot use this as your base code
* no theme redistribution otherwise through my repo
features :
>
* up to 8 customizable links with individual background images
revision log :
* 2016.05.04 : started theme design
* 2016.05.05 : edited post type and finalization
* 2020.09.09 : updated for repost on github repository
theme
Additional comments
If a tree fell in a forest...
Does it make a sound?


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{% extends 'base.html' %} {% import 'macros.html' as macro%} {% block content %}
"{{quote}}"
Author: {{author}}
Latest sports news from around the world with in-depth analysis, features, photos and videos covering football, tennis, motorsport, golf, rugby, sailing and skiing
Highlighting some of my favorite travel blogs that can help you travel better.
Fitness enthusiasts like you and me need the help of experts to stay focused and motivated.
This are the go-to people when it comes to matters style and fashion
Food Blog that shares recipes and cooking videos from all over the world with focus on using ingredients readily available.
Check out this articles for the best political blogs on the web


The goal of iposscan is to wrap around the Intellectual Property Office of Singapore (IPOS) API, and allow users to easily obtain and analyze data on real-time applications of designs, trademarks and patents submitted to IPOS from August 22, 2018 till today’s date. More information on the API can be found here: https://data.gov.sg/dataset/ipos-apis?resource_id=6a030bf2-22da-4621-8ab0-9a5956a30ef3.
Intellectual property (“IP”) data is often analysed by companies and goverments; the former has vested interests to know how to manage their IP based on trends in the industry, and the latter may require such information for IP policies and regulation, as well as insights into potential innovation growth areas for the economy.
The API client allows for querying by one lodgement_date, and returns the set of applications lodged in that particular date. The functions in this package automate some tasks that are common use cases in IP data analyses. Functions in the package are:
You can install the development version from GitHub with:
# install.packages("devtools")
devtools::install_github("joellynh/iposscan")
The following are some examples of 2 out of the 5 functions in the package.
dftwodates()
function
results3 <- dftwodates(startdate = "2018-08-23", enddate = "2018-08-28")
head(results3, 2)
#> summary.applicationNum summary.applicationStatus summary.applicationType
#> 1<PHONE_NUMBER>9P Abandoned <NA>
#> 2<PHONE_NUMBER>1Q Pending (Not Published) <NA>
#> summary.filingDate summary.lodgementDate
#> 1 2018-08-23 2018-08-23
#> 2 2018-08-23 2018-08-23
#> summary.titleOfInvention
#> 1 A High-efficiency Purification Treatment Device for Condensable Organic Matter
#> 2 Sugar Composition
#> inventors.name inventors.address
#> 1 <NA> <NA>
#> 2 <NA> <NA>
#> inventors.countryOfResidence.description
#> 1 <NA>
#> 2 <NA>
#> inventors.countryOfResidence.code inventors.nationality
#> 1 <NA> <NA>
#> 2 <NA> <NA>
#> applicant.uenCompanyCode
#> 1 <NA>
#> 2 <NA>
#> applicant.name applicant.address
#> 1 Ningbo Yinzhou Yiwang Electronic Technology Co., Ltd. <NA>
#> 2 NUTRITION SCIENCE DESIGN PTE. LTD. <NA>
#> applicant.countryOfIncorporationOrResidence.description
#> 1 <NA>
#> 2 <NA>
#> applicant.stateOfIncorporation.description
#> 1 <NA>
#> 2 <NA>
#> applicant.stateOfIncorporation.code applicant.nationality.description
#> 1 <NA> <NA>
#> 2 <NA> <NA>
vizbygeog()
function
vizbygeog(startdate = "2018-08-23", enddate = "2018-08-26", role = "applicant", option = "viz")
#> Loading required package: viridis
#> Loading required package: viridisLite


Dearly Departed
Deaths in Louth - Friday November 15 2019
RIP
by Donard McCabeThe death has occurred of Bartle Woods of Newhall, Dunleer, Louth
Peacefully in the dedicated care of the staff of Our Lady of Lourdes Hospital, Drogheda. Sadly missed by his sorrowing brother Gerard, sisters Josephine (Belfast) and Frances (London), nephews Michael, Paul, Niall, Barry, Nicholas and James, grandnephews, grandnieces, neighbours, relatives and friends.
Reposing at Connor's Funeral Home, Dunleer on Friday from 2pm until 8pm.
Removal on Saturday morning to Saint Brigid's Church, Dunleer arriving for Funeral Mass at 11am. Burial afterwards in Dromin Cemetery.
May he rest in peace
The death has occurred of Thomas Ronan (Tom) Wall of Shore Road, Dundalk, Co. Louth and late of Timahoe, Co. Laois
Peacefully, at the Mater Private Hospital, Dublin, November 14 2019. Formerly of the Revenue Commissioners. Predeceased by his brother Peter.
He will be sadly missed by his loving family. His wife Josephine, daughter Sharon, son Ronan, sister Geraldine, son-in-law Ronan, daughter-in-law Olivia, his cherished grandchildren Blathnaid, Muireann, Finn, Reagan, Lewis and Liam, extended family, nieces, nephews, relatives, friends and his former colleagues in the Revenue Commissioners.
Funeral arriving to St Joseph's Redemptorist Church, Dundalk, on Monday, 18th November, for funeral Mass at 11am, followed by burial in Haggardstown Cemetery. House strictly private, by request.
May Tom’s gentle soul rest in eternal peace
The death has occurred of Patsy Sheils (née Mc Gowan) of Marian Park, and formerly of Pearse Park, Drogheda Co Louth
On November 14, 2019, peacefully at Our Lady of Lourdes Hospital. Patsy. Predeceased by her husband Jim and loving mam to Tommy, Jimmy, Shane and Sandi.
Sadly missed by her loving family, daughters-in-law Muriel, Una and Catherine, son-in-law Tony, grandchildren Karen, Emma, Peter, Selina, Gary, Aoife, Dáithí, Keith, Sophie and Steffi, great-grandchildren Harry, Olivia, Hannah, Ciara and Jennifer, sisters Bernie, June, Hilda, Dolores, Linda and Jacinta, brother James, brothers-in-law, sisters-in-law, nieces, nephews, relatives and friends.
Reposing at Townley’s Funeral Home, Crosslanes from 5 o’clock until 7 o’clock on Friday and Saturday evening.
Removal on Sunday morning at 12 noon to the Holy Family Church, Ballsgrove arriving for Funeral Mass at 12.30pm. Burial afterwards in Calvary Cemetery.
May he rest in peace
The death has occurred of Cyril Shannon of Point Road, Bellurgan, Dundalk, Louth / Elphin, Roscommon
On Thursday November 14 2019, peacefully at his residence. Predeceased by his parents Patrick and May-Kate (late of Elphin, Co. Roscommon).
Cyril, beloved husband of Kathleen (née Mc Kenna) and loving dad of Andrew, David, Patrick and Catherine. He will be sadly missed by his wife, sons, daughter, brother Padráig, sisters Breege and Evelyn, son-in-law John Higgins, daughters-in-law Kerra and Joanne and Andrew's partner Jackie, grandchildren, great-grandson, nephews, nieces, nieces, extended family, relatives, wonderful neighbours and friends.
Reposing at his residence, Point Road, Bellurgan (eircode) A91 C9C1 from Friday 12 noon to 8pm.
Removal on Saturday afternoon at 2pm driving to St. Joseph's Church, Castletown, Fatima arriving for Funeral Mass at 2.30pm followed by burial in adjoining cemetery.
May he rest in peace
The death has occurred of Sr. M. Jacinta Roche, MMM of Drogheda, Louth / Oulart, Wexford
Peacefully in Aras Mhuire Nursing Home, Drogheda of Sr. M. Jacinta Roche, Medical Missionaries of Mary, Drogheda and formerly from Oulart, Wexford.
Predeceased by her parents John and Ellen, two sisters Annie and Maggie and her three brothers Jim, Frank and Pat. Sadly missed by her brothers John, Peter (Canada) and Kevin(Bristol) and her sisters Mary, Joan and Betty (Canada), her nephews and nieces and their families, relatives her many friends in Ireland and Nigeria and her MMM Community.
Funeral Mass on Saturday at 12 noon in MMM Convent, Beechgrove, Drogheda, followed by burial in St. Peter's Cemetery.
May she rest in peace
The death has occurred of Larry (Scorch) Reynolds of Moneymore, Drogheda, Co. Louth and formerly of Pearse Park
On November 14, 2019, peacefully at Sunhill Nursing home, Termonfeckin. Larry (Scorch). Sadly missed by his loving brothers Willie, Jim, Gerard and Kevin, sisters Maria, Mona, Beartha, Sheila, Noeline, Eileen, June and Maureen, brothers-in-law, sisters-in-law, nephews, nieces, relatives and friends.
Reposing at Townley’s Funeral Home, Crosslanes from 5 o’clock until 7 o’clock on Friday and Saturday evening.
Removal on Sunday morning at 11.20 am arriving to Our Lady of Lourdes Church for Funeral Mass at 12 noon. Burial afterwards in St. Peter’s Cemetery.
May he rest in peace
The death has occurred of Teresa-Tessie Lennon (née Reilly) of St, Alphonsus Villas, Dundalk, Louth
On Thursday November 14, 2019, peacefully at her residence. Predeceased by her husband Joe, parents Lilly and Patrick (late of Kilcurry), brothers Kevin and Vincie, sister Hilda.
She will be very sadly missed by her loving sons Brendan, Alan and Jim, daughters Mary and Pauline, brothers Dermot and Brendan, sister Sheila,sons in-law PJ and Paddy, daughters in-law Sandra and Sinéad, grandchildren, brother and sisters in-law, nephews, nieces, cousins, extended family relatives, wonderful neighbours and friends.
Reposing at her residence St, Alphonsus Villas,(Eircode) A91Y5F7 from Friday afternoon 2pm to 8pm.
Removal on Saturday morning at 10.40am proceeding on foot to St, Joseph's Redemptorist Church arriving for Funeral Mass at 11am followed by burial in St, Patrick's Cemetery Dundalk.
May she rest in peace
The death has occurred of Kitty Burns (née Cassidy) of College Rise, Montessori and formerly of Brandrum, Co. Monaghan
On November 13, 2019, peacefully at her home. Kitty beloved wife of John and loving mam to Rory and Fiona. Sadly missed by her husband and family, daughter-in-law Sinead, son-in-law Rory, grandchildren Dylan, Jake, Lucy, Emma and Aoife, sister Rose, brother John, sisters-in-law, brother-in-law, nephews, nieces, neighbours, former pupils, relatives and friends.
Reposing at her home from 2pm until 8pm on Friday.
Removal on Saturday morning at 11am driving to The Dominican Church arriving for Funeral Mass at 11.30am. Burial afterwards in Newtown Cross Lawns Cemetery, Termonfeckin Road.
May she rest in peace


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Source code for blue_st_sdk.features.field
################################################################################
# COPYRIGHT(c) 2018 STMicroelectronics #
# #
# Redistribution and use in source and binary forms, with or without #
# modification, are permitted provided that the following conditions are met: #
# 1. Redistributions of source code must retain the above copyright notice, #
# this list of conditions and the following disclaimer. #
# 2. Redistributions in binary form must reproduce the above copyright #
# notice, this list of conditions and the following disclaimer in the #
# documentation and/or other materials provided with the distribution. #
# 3. Neither the name of STMicroelectronics nor the names of its #
# contributors may be used to endorse or promote products derived from #
# this software without specific prior written permission. #
# #
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" #
# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE #
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE #
# ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE #
# LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR #
# CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF #
# SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS #
# INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN #
# CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) #
# ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE #
# POSSIBILITY OF SUCH DAMAGE. #
################################################################################
# IMPORT
from enum import Enum
# CLASSES
[docs]class Field(object):
"""Class that describes a feature data field.
"""
[docs] def __init__(self, name_, unit_, type_, max_, min_):
"""Constructor.
Args:
name_ (str): Name.
unit_ (str): Unit.
type_ (:class:`blue_st_sdk.features.field.FieldType`): Type.
max_: Maximum value.
min_: Minimum value.
"""
self._name = name_
self._unit = unit_
self._type = type_
self._max = max_
self._min = min_
[docs] def get_name(self):
"""Get the name.
Returns:
str: The name.
"""
return self._name
[docs] def get_unit(self):
"""Get the unit.
Returns:
str: The unit.
"""
return self._unit
[docs] def get_type(self):
"""Get the type.
Returns:
:class:`blue_st_sdk.features.field.FieldType`: The type.
"""
return self._type
[docs] def get_max(self):
"""Get the maximum value.
Returns:
The maximum value.
"""
return self._max
[docs] def get_min(self):
"""Get the minimum value.
Returns:
The minimum value.
"""
return self._min
[docs]class FieldType(Enum):
"""Type of field."""
Float = u'Float'
Int64 = u'Int64'
UInt32 = u'UInt32'
Int32 = u'Int32'
UInt16 = u'UInt16'
Int16 = u'Int16'
UInt8 = u'UInt8'
Int8 = u'Int8'
ByteArray = u'ByteArray'
DateTime = u'DateTime'


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Find out what's important to you and do it!
Find out what's important to you and do it!
Make life simpler without making it harder. Help people get the right things done and done the right way.
Michael A Harms - Project Lead
Joshua Roy Draper - Backend
Natalie Davis - React 2
Shaurice Pearson - React 1
Samuel Moore - User Interface


The demand for electricity in the UK since 2011 Units: MW Time zone: UTC
UKgrid
Data frame with timestamp (half-hour intervals)
The UK natioanl grid website
Field descriptions, source National Grid UK website
TIMESTAMP - a POSIXt object (if not aggregate to daily frequency and above), the time stamp of the series observations
ND - National Demand is calculated as a sum of generation based on National Grid operational generation metering
TSD - Transmission System Demand, This is the Transmission System generation requirement and is equivalent to the Initial Transmission System Outturn (ITSDO) and Transmission System Demand Forecast on BM Reports. Transmission System Demand is equal to the ND plus the additional generation required to meet station load, pump storage pumping and interconnector exports
I014_TSD - Equivalent to TSD (above), but calculated using settlement metered generation data from the I014 file where available
ENGLAND_WALES_DEMAND - England and Wales Demand, as ND above but on an England and Wales basis
EMBEDDED_WIND_GENERATION - Estimated Embedded Wind Generation, This is an estimate of the GB wind generation from wind farms which do not have Transmission System metering installed. These wind farms are embedded in the distribution network and invisible to National Grid. Their effect is to suppress the electricity demand during periods of high wind. The true output of these generators is not known so an estimate is provided based on National Grid’s best model
EMBEDDED_WIND_CAPACITY - Estimated Embedded Wind Capacity, This is National Grid’s best view of the installed embedded wind capacity in GB. This is based on publically available information compiled from a variety of sources and is not the definitive view. It is consistent with the generation estimate provided above
EMBEDDED_SOLAR_GENERATION - Estimated Embedded Solar Generation, As embedded wind generation above, but for solar generation
EMBEDDED_SOLAR_CAPACITY - Embedded Solar Capacity, As embedded wind capacity above, but for solar generation


LBN Electronic Bulletin Board
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This is the personal github of James Kaplan.
My other online handles are Phurple (Kongregate) or Stop_Sign (Reddit/Discord).
Links are top to bottom for how worthwhile it is to click them.
My discord to discuss everything is
here.
Games to Play
Idle Loops
My 13th and my most playable and popular game.
About 4 weeks playtime available.
This link is to Omsi6's version, which extended mine. Use that one. If you want to see my version, check it out here
~150 hours development time.
After scripting ItRtG and NGU so much, I wanted to capture that feeling of small tweaks to a complicated process rather than actually playing the complicated process.
This game is substantially different than my others in number flow as a result, as it's a different perspective on idle games.
I was far more ambitious with the autogeneration code this time, making it very easy to add actions.
This is the first time I created a discord community, which ended up being a *massive* deal and taught me a lot.
It took me a long time to realize, but one of the major draws of this game is the story element.
I won the 2018 Most Interesting New Mechanic award in /r/incremental_games for this one.
Nanospread
My 11th attempt at a game
Has about 1 week of playtime, enjoy!
~80 hours development time. Inspired by the failures of Progress Bar Quest v2.
Abandoned because the next set of changes require a deep refactoring.
My first time coding with someone else - there are a few pull requests in the history made by him, and stats is 100% him.
Got 30k pageviews according to Google Analytics.
King's Perfect War
14th game.
No longer in development, just an idea.
~160 hours development time.
I took all the feedback I got about Loops and made a game trying to address everything. Unfortunately, I made it a little too complicated. It doesn't quite feel like an idle game, even if it still has its merits.
This is a closed-system game, like Nanospread, where I want additional content to be heavily based on level design. It achieves that very well, but getting to that point takes a bit.
Easily the best code I've written though, coming off of the feedback/help I got with Loops.
Dyson Light
15th game.
Created for an incremental game jam with the them of Light.
This is a quick playthrough, maybe 2-3 days worth.
~50 hours development time.
Coming off of playing Dyson Sphere Project, I had to make an incremental around it.
It has performance issues - don't launch too many sails at once at the end.
I think it came out well for the amount of time I spent on it.
Terrafold
My 12th game attempt.
Has a few days of playtime, but is a bit more confusing than my other games.
~100 hours development time.
My attempt to make an idle game with a much longer rebirth cycle.
It was so long, in fact, that I got bored of coding it before I got to the rebirth cycle.
Balance issues are also a pain in this game. I just have too many variables.
The flow of numbers comes from liking the fundamental formula of Nanospread so much that I wanted to experiment with it
I wanted to add logarithmic-based dynamic graphics in the background, which is why things are so spread out.
The code is clean, and the idea is ~40 hours away from being wrapped up, so maybe someday.
EDIT: the code is not clean. This game is the reason I abandoned OOP, preferring data-driven programming instead. It's super painful to try to change the code now.
Progress Bar Quest v2
Fun with progress bars.
~35 hours of work or so. This is my sixth game.
It uses angular.js for the two-way binding.
Color changes based on the level of each progress bar.
This is a better attempt at visualizing propagation.
Pull of War
When you load, you'll be on "Unit Spawning" - click Barracks, then Battle to start the game.
This game has saving, but no offline progress. It works at full speed in another tab.
I've spent ~100 hours on this total. It is my fourth attempt at a game.
The idea came from Desert Strike, a custom game in SC2, and other such Tug of War games.
It uses angular.js, but only for two-way binding - I'm not a fan of the organization that angular brings.
Many of the graphics are "placeholder". This game is a statement of what I can and cannot do, and I'm no graphics artist.
The aspect of idle games that I'm focusing on is needing to watch the game in order to know where to spend your money.
Progress Bar Quest v1
Fun with progress bars, the first attempt.
This game no saving, and sort-of works in another tab.
It goes too fast to make sense of things eventually, but doesn't crash.
~20 hours of work or so. This is my fifth game.
I saved this because I enjoy the color progression better than the v2.
It uses angular.js for the two-way binding. This was also my first attempt at passing functions as parameters.
Colors change based on how much boost a progress bar has. Give 'em more boost for pretty colors.
This was my attempt at visualizing propagation. It turns out it's terrible at that, but it's a fascinating result regardless.
Square
A simple idle game with pretty colors.
This game no saving, and doesn't have any words.
It lasts infinitely.
~10 hours of work or so. This is my seventh game.
I got frustrated with how much work these games take, so I experimented with what the minimum means.
This is a game with a single button and no numbers.
I learned a lot about patterns and colors with this. A 5x5 grid works *far* better than a 4x4 or 6x6.
I've watched this run for longer than I spent time on it. It was a success from that perspective.
My most "art"-like game. I think it's pretty. No plans for changing it in the future.
Incremental Quest
A clicker game.
This game has saving, and the idle elements work in another tab.
~40 hours of work or so. This is my first game attempt.
Using a single .html file and a single .js file, with no libraries whatsoever.
This was my attempt at creating elements I hadn't seen before in existing games.
The main goal of coding it was to keep numbers low - costs less than 6 digits - for the duration of play.
The UI is modeled off of Cookie Clicker.
I abandoned it because it was too much work to add another piece for not a lot of play.
I wanted to create guide-rails for play, like Cookie Clicker or AdCap, but I got bored of how much coding that required.
I learned a *lot* about game making from this.
Feel free to use an auto-clicker on it. I know I am.
Feature Quest
A slow clicker game.
This game has saving, and the idle elements work in another tab.
~30 hours of work or so. This is my second game attempt.
The first upgrade costs 500 resource1_1, so keep clicking "Exert Yourself". More unlocks with more resource1_1.
The game picks up a lot on the 15000 costing upgrade to unlock Stroll. It has the upgrade price reduction carryover from the first attempt.
I actually split my javascript into multiple files! I did it poorly though.
For this game, I wanted to make a clicker that you only needed to click every few seconds, instead of with an auto-clicker.
This was also an experiment with polynomial growth, and showing less elements to start.
I wanted it to be a choice between getting X, X^2, or a lesser amount of both. Practice vs Application, if you will.
Instead I learned that balance is kind of hard to maintain unless the balance is built-in to the game.
A different lesson I learned here was to build around a theme - my unnamed resources aren't interesting.
Another lesson is that good pacing takes planning. This game has terrible pacing - it's much too slow.
Yet another is that explanations might be important: The block that contains Exert Yourself is active play, the block that contains Take it Easy is idle play.
I abandoned it because it was too much work to add another piece for not a lot of play. Again.
Feel free to open the console and type resource1_1 += 100000
Game Fragments (not playable)
Reap and Sow
~40 hours.
My ninth game attempt.
I like the name, and I like the concept (forced resets), but the execution isn't balanced right. I did lots of experimentation with this concept that I used in future games.
Miner
~30 hours.
My eighth game attempt. It doesn't have anything worth playing.
I had a few goals with this one, the biggest being collaboration.
I recognized that there were a few parts in my games where I didn't need to know anything about the larger game, and could hand it off to someone else.
So, I got some friends to say they'd try it, and one immediately refactored all the code to look nicer to them. The other made a list of mineral words to incorporate in the far future.
I didn't like the first guys changes, and the second wasn't very helpful, so I got discouraged and it died. Lesson learned.
I wanted to make a game with two and only two resources, both visually represented.
I also wanted to incorporate story elements via upgrades. This never got added.
It needs to be more complicated in some parts, less complicated in others, so it was off-balance from the start.
I still like the vision it was supposed to be, but it requires some heavy updates and refactoring to be useful again.
I'm rather disappointed with how the development of this went.
Idiot Quest
~5 hours.
My third game attempt. It doesn't have anything worth playing.
I started this with the goal of using a javascript library - jquery. As it turns out, a single new language isn't enough to make a game.
I also started arranging my coding to use dynamic creations of graphic elements here.
I recognized where it was going - too much work to add another piece for not a lot of play. I abandoned it quickly.


This tool lets you convert a formatted JSON into multiline escaped concatenated version ready to paste in your js or java code. Source code on github
You neeed Javascript enabled in your browser for this to work.
Normal (pretty printed json):
Escaped & quoted & concatenated:
© Public Domain. NO WARRANTY EXPRESSED OR IMPLIED. USE AT YOUR OWN RISK. Created 2014 by Szymon Danielczyk. based on Bernhard Häussner page Escaping code borrowed from Douglas Crockford's JSON-js.


BenchmarkDotNet=v<IP_ADDRESS>
OS=Microsoft Windows NT 6.2.9200.0
Processor=Intel(R) Core(TM) i7-4790 CPU 3.60GHz, ProcessorCount=8
Frequency=3507503 ticks, Resolution=285.1031 ns, Timer=ACPI
HostCLR=MS.NET 4.0.30319.42000, Arch=32-bit RELEASE [AttachedDebugger]
JitModules=clrjit-v4.6.1080.0
Type=LfuCacheBenchmarks Mode=Throughput
| Method | ElementsCount | OperationsCount | CacheSize | Median | StdDev | Gen 0 | Gen 1 | Gen 2 | Bytes Allocated/Op |
|---|
| BenchmarkLfuCachePerformance | 100000 | 200000 | 90000 | 7.6411 ms | 0.0510 ms | 1.00 | 1.00 | - | 139,535.09 |


Apple delays ‘The Banker’ theatrical release amid review
by ANTHONY McCARTNEYLOS ANGELES (AP) - Apple on Friday delayed the theatrical release of its first original film, “The Banker” amid misconduct allegations against one of the film’s co-producers.
A person familiar with the plans who was not authorized to discuss them publicly confirmed Friday that the film’s Dec. 6 release was being delayed.
The delay comes days after Apple canceled the film’s premiere at the AFI Film Festival in Los Angeles, citing unspecified concerns about the movie and saying it needed time to review them.
The Hollywood Reporter published a story Wednesday that said the premiere was canceled after two relatives of Bernard Garrett Jr., who is a co-producer on the film, accused him of molesting them when they were girls.
Attempts to reach Garrett Jr. at several phone numbers listed to him were unsuccessful Friday.
The film is based on the life of Garrett’s father, Bernard, who in the 1950s and ‘60s recruited a white man to pose as the face of his expansive real estate and banking business. Bernard Garrett, who is played by Anthony Mackie in the film, was convicted of misusing bank funds in 1968.
“The Banker” also stars Samuel L. Jackson, Nia Long and Nicholas Holt.
“We purchased ‘The Banker’ earlier this year as we were moved by the film’s entertaining and educational story about social change and financial literacy,” Apple said in a statement Wednesday. “Last week some concerns surrounding the film were brought to our attention. We, along with the filmmakers, need some time to look into these matters and determine the best next steps.”
The film had been slated to appear on the new Apple TV Plus streaming service after its theatrical release, but no details on those plans have been released.
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{% extends "base.html" %} {% block title %}
This is a drawing of an Urbit —
a new kind of computer.
Your Urbit is a purpose-built tool for your own social software, not MEGACORP social networking. On Urbit, you run (or build) your own software to connect and communicate with your friends and family.
Your Urbit is a permanent, private archive. Your Urbit can store all your data and digital assets safely, privately, forever.
 Each Urbit is a piece of a new network that’s owned and controlled by its users.
Today, technology controls us. Every MEGACORP has the same incentive: To keep us hooked on their platform.
We built Urbit so people can control their technology, shape their digital lives and freely build their digital communities.
We want to replace the Internet with a foundation for computing that we can all rely on far into the future.
Urbit is a large, ambitious project. But at the core it’s durable, simple and yours.
Nothing quite like this has ever been done before.
{% endblock content %}


This is a simple demonstration of the XML/HTML indentation module for CodeMirror. The javascript file contains some comments with more information.


StreamHub-Isotope is a pluggable View for use with StreamHub-Backbone. It will use the jQuery Isotope plugin to lay out Content for a tiled display that are perfect for media wall experiences.
Livefyre StreamHub is the web's first Engagement Management System. StreamHub turns your site into a real-time social experience. Curate images, videos, and Tweets from across the social web, right into live blogs, chats, widgets, and dashboards. The world's biggest publishers and brands use StreamHub to power their online Content Communities.
StreamHub-Backbone displays Collections of Content in StreamHub Networks. To get your own Network so you can create your own Collections, engage your own community of SSO Users, and curate Content that appeals to your users, contact Livefyre about subscribing to StreamHub.
Usage
StreamHub-Isotope presents itself as the IsotopeView
constructor. It is an extension of Backbone.View, and is instantiated with a Hub.Collection()
, el
, and some other options.
// Load a Livefyre JS App
fyre.conv.load({
network: Config.network
},
// specifically, the 'sdk' App
[{app: 'sdk'}],
function loadIsotopeView (sdk) {
// Create a Collection and a View
var mediaCollection = new Hub.Collection(),
wallView = new IsotopeView({
el: Config.el,
collection: mediaCollection,
// load this many items, wait for their
// images to load, then render the rest
initialNumToDisplay: 5,
// Options to pass to jQuery-Isotope
isotope: {}
});
// Bind the mediaCollection to a remote source
mediaCollection.setRemote({
sdk: sdk,
siteId: Config.siteId,
articleId: Config.articleId
});
});
});
Getting Started
Install npm
Use npm to install this package
npm install
Bower is used for dependency management. The npm postinstall script will run bower install
and put dependencies in lib/
.
StreamHub-Isotope is written as an AMD module. You will need to use an AMD loader like RequireJS to use it. Add it as a package in your RequireJS config:
packages: [{
name: 'streamhub-isotope',
location: './path/to/streamhub-isotope'
}]
Then you can use it like:
require(['streamhub-isotope'], function (IsotopeView) {
// Hub some Streams, yo
})
Documentation
You can access the API Reference on GitHub
The API reference also lives in the docs/
directory. You can view them in your browser with:
open docs/index.html
You can re-build the documentation using:
npm run-script doc
Tests
Behavior tests are included in the tests/spec
directory. You can access an online test runner for the latest release on GitHub.
You can also run the tests via:
npm test


We located existing movies that match the naming template of the frames in your selected CSV column. Should we overwrite them? If not, we will use the existing movies in the provided directory.
We weren't able to locate your movies. Please verify that the provided path is correct.
This directory doesn't exist. Please verify that the provided path is correct.


Preparation time
1-2 hours
Cooking time
10 to 30 mins
Serves
Serves 4-6
Dietary
These mouthfuls of melted cheese are naughty but nice, and work so well with the tart chutney.
For the chutney, heat the muscovado sugar in a large frying pan over a low to medium heat, without stirring, until it melts and forms a golden-brown caramel ,swirl the pan to move the sugar instead of stirring it (CAUTION: boiling sugar is extremely hot. Handle very carefully. Use a deep pan to avoid bubbling over.).
Add the onion and sultanas to the caramel, then pour in the sherry vinegar and stir with a wooden spoon.
Add the tomatoes and grapes and cook for 12–15 minutes, or until the grapes are tender and the mixture has thickened. Season, to taste, with salt and freshly ground black pepper.
Transfer the chutney to a sterilised, airtight jar and set aside. (The longer you leave the chutney, the more the flavours will develop.)
Meanwhile, for the house dressing, whisk together the egg yolk, mustard, honey and cider vinegar in a bowl until well combined. Gradually add the vegetable oil in a thin stream, whisking continuously, until the mixture thickens to a creamy mayonnaise.
Stir in the shallot, garlic and herbs, then season, to taste, with salt and freshly ground black pepper. Set aside.
For the pecan salad, line a plate with greaseproof paper.
Pour 100ml/3½fl oz of water into a saucepan and add the sugar. Bring the mixture to the boil, then reduce the temperature until the mixture is simmering and simmer for 4-5 minutes, or until the sugar has dissolved and the mixture has thickened to a syrup. (Caution: Hot syrup can be dangerous. Do not leave unattended.)
Add the pecans to the syrup and continue to cook for 2-3 minutes, then spoon the pecans and syrup onto the lined plate and set aside to cool and harden.
Heat the oil in a deep-fat fryer to 180C. Alternatively, heat the oil in a heavy-based saucepan over a high heat until a breadcrumb sizzles and turns golden-brown when dropped into it. (Caution: Hot oil can be dangerous. Do not leave unattended.)
Carefully lower the sugared pecans into the hot oil, in batches, and cook for 1-2 minutes, or until golden-brown. Remove from the oil using a slotted spoon and set aside to drain and cool on kitchen paper.
When the pecan nuts have cooled, place the lettuce leaves into a large bowl, drizzle over two tablespoons of the house dressing, then sprinkle over the pecans. Toss the leaves to coat them in the dressing. Set aside.
For the cheese nuggets, sprinkle the flour on a plate and the breadcrumbs on another plate. Dust each piece of cheese first in the flour, then dip it into the beaten egg, then roll in the breadcrumbs until completely coated.
Using the same oil as before, carefully lower the coated cheese pieces into the hot oil in batches. Fry for 30–60 seconds, or until the breadcrumbs are golden-brown and the cheese has melted. Remove each batch from the hot oil using a slotted spoon and set aside to drain on kitchen paper. Keep warm while you cook the remaining batches.
To serve, place the cheese nuggets onto a large serving plate with a bowl of the chutney alongside. Serve with the salad.


Configuration
Command Line Interface
When using Git in any form, configuration is important -- and sometimes required. This section hopes to address different aspects of Git configuration.
Note the arrow(s) in the bottom-right corner that controls navigation through the lesson. You may also navigate by pressing ESC and using the arrow keys.
Configuration
Command Line Interface
It's required to configure your user identity with Git. It's useful to configure a few other features as well. Select the links below to jump to specific topics, or select the right arrow to begin viewing everything.
User Identity
Diff and Merge Tools
Aliases
Binary File Management
Note the arrow(s) in the bottom-right corner that controls navigation through the lesson. You may also navigate by pressing ESC and using the arrow keys.
Configuration
General form of Git config command
git config [options]
List all the attributes of the current user's Git configuration
git config --list
Configuration
User Identity
View the user’s name and email the Git config is storing:
git config user.name
git config user.email
Using these commands, you can view what Git currently believes your name and email are. Sometimes what Git shows, if anything, is not always right though, and we need a way to change that.
Let’s play out a scenario.
Configuration: User Identity
This developer's current Git user identity is shown below. She wants to correct this, though, to be the actress's (or...developer's) name rather than her character.
Name: Princess Leia
---> Carrie Fisher
Email<EMAIL_ADDRESS>---><EMAIL_ADDRESS>1.) Update the user's name
git config user.name "Carrie Fisher"
2.) Update the user's email
git config user.email<EMAIL_ADDRESS>This will update the user's Git identity locally, meaning only for the current repository she is working with. If she wanted to update it for all repositories on her computer, she could add the `--global` flag, like so:
git config --global user.email<EMAIL_ADDRESS>This initial configuration is important for documentation. Using the command `git log`, anyone can look back through the history of commits and see who made a change, when, what about, and how to contact that user.

Configuration
Diff and Merge Tools
When using Git, you’ll quickly realize that comparing different versions of a file or merging changes together can get a bit tedious without another tool. There are a variety of tools on the Internet that can help you tremendously in viewing different versions of a file, handling Git conflicts, and more. You’ll likely want to hook one of these into your Git configuration.
Configuration: Diff and Merge Tools
Three, common tools for this are: BeyondCompare, Meld, and KDiff3
Check out a larger ranking of available tools as of 2018.
Configuration: Diff Tools
Diff tools allow us to view differences between commits. This can be especially useful when determining the cause of a bug. Git will choose a difftool by default, if it is not set. Here we can see how to set your configure Meld as your difftool. Place this code within your .gitconfig file in your home directory.
[diff]
tool = meld # This sets the tools
[difftool]
prompt = false # This prevents a confirmation prompt each time we try to open it
[difftool "meld"] # This sets command for opening the tool. Dependent on OS
trustExitCode = true
cmd = open -W -a Meld --args \"$LOCAL\" \"$PWD/$REMOTE\"
To use this, you can simply enter git difftool on the command line to view your current changes. If you want to inspect changes between two commits, use the following format:
git difftool [starting abbreviated commit hash] [ending abbreviated commit hash]
Configuration: Merge Tools
Merge tools allow us to visually resolve merge conflicts. As before, Git will select a default mergetool if one is not set. The setup for these is nearly identical to diff tools. Place this code within your .gitconfig file in your home directory.
[merge]
tool = meld # This sets the tools
[mergetool]
prompt = false # This prevents a confirmation prompt each time we try to open it
[mergetool "meld"] # This sets command for opening the tool. Dependent on OS
trustExitCode = true
cmd = open -W -a Meld --args --auto-merge \"$PWD/$LOCAL\" \"$PWD/$BASE\" \"$PWD/$REMOTE\" --output=\"$PWD/$MERGED\"
You can use mergetool in the same way that you use difftool.
This blog also provides insight for setting up Meld
Configuration
Aliases
Git aliases are similar in nature to regular aliases one might set in a Bash profile. We can use them to save complicated Git commands in a concise form. Below are some that I have found useful.
(These belong in the .gitconfig file in your home directory.)
[alias]
hist = log --pretty=format:\"%h %ad | %s%d [%an]\" --graph --date=iso
histf = log --pretty=format:\"%h %ad | %s%d [%an]\" --graph --date=iso --name-status
histc = log --graph --pretty=oneline --abbrev-commit
Click the down arrow for explanations of each of these flags
Further details and more git log flags can be found here
Configuration: Aliases -- Flags Explained
--pretty
If specified as `oneline`, this will condense the log to a single line.
Otherwise, you can specify the format of the log message you desire.
Format placeholders are found here (search for 'format:<string>')
--graph
This options draws a text-based graphical representation of the commit history on the left hand
side of the output. Select the down arrow for how this looks with `git histc`.
--date
This controls how the date timestamp is presented in the log message.
--name-status
This contents the log message to show only the name and status of changed files.
--abbrev-commit
Instead of showing the full 40-byte hexadecimal commit object name, show a prefix that names the
object uniquely.
Binary File Management & Git LFS
For configuration of Git LFS or general approach to binary file management, see the Binary Files section


Search
Preparing search index...


{{ post_title }}
Thoughts spewing from a human head since 1986. A spewing outlet so that potentially useful things don't get lost. Kind of like storing that perfect piece of wood in the shed just in case it ever comes in handy.
- {# include 'cms/social-media.html' #}
-
Love the science?
-
Categories
-
{% for obj in all_categories %}
- {{ obj.word }} {% endfor %}
Written bygrace


{% extends 'layouts/main.html' %} {% import 'bootstrap/wtf.html' as wtf %} {% set active_page = "rides" %} {% block app_content %}
You are logged in as {{ current_user.username }}. Go to the Vehicles page to start a ride.
{% for ride in rides %} {% if current_user.id == ride.rider_id %}


Language updates:
- Type synonyms
- Arrays
- Pattern matching in lambdas and \let expressions
- Multiple level parameters in definitions
- Ability to change levels in class extensions
- Improved inference of implicit arguments of function types
Plugin updates:
- New quick-fixes:
- Hide import
- Fix failed class instance inference
- New intentions:
- Replace with short name
- Generate function
- Swap infix operator arguments
- Add and Remove clarifying parentheses
- New "Redundant parentheses" inspection
- Better support for Prelude
- Better support for Metas
API:
- The locale of real numbers
- Compactness of the interval and local compactness of reals
- Spectrum of a ring
- Sheaves
- rewriteEq meta


John Stauffer, Sr., originally came to Hubbard, Oregon in 1872 from Pennsylvania. The farm has been in the hands of the Stauffer family for four generations; John's great grandsons, Robert and Norman Stauffer currently work the land. The Stauffers primarily grow hops and filberts (hazelnuts) on 150 of the original 320 acres.
At some point, part of the farm was sold off the old Aurora Colony Museum, including the original barn. The farm and the barn are now on the National Registry of Historic Places.