CREATE EXTERNAL TABLE
Creates a new external table in the specified schema. All external tables must be created in an external schema. Search path is not supported for external schemas and external tables. For more information, see CREATE EXTERNAL SCHEMA.
To create external tables, you must be the owner of the external schema or a superuser. To transfer ownership of an external schema, use ALTER SCHEMA to change the owner. Access to external tables is controlled by access to the external schema. You can't GRANT or REVOKE permissions on an external table. Instead, grant or revoke USAGE on the external schema.
In addition to external tables created using the CREATE EXTERNAL TABLE command, Amazon Redshift can reference external tables defined in an AWS Glue or Amazon Athena data catalog or a Hive metastore. Use the CREATE EXTERNAL SCHEMA command to register an external database defined in an AWS Glue or Athena data catalog or Hive metastore and make the external tables available for use in Amazon Redshift. If the external table exists in an AWS Glue or Athena data catalog or Hive metastore, you don't need to create the table using CREATE EXTERNAL TABLE. To view external tables, query the SVV_EXTERNAL_TABLES system view.
You can query an external table using the same SELECT syntax you use with other Amazon Redshift tables. External tables are read-only. You can't write to an external table.
To create a view with an external table, include the WITH NO SCHEMA BINDING clause in the CREATE VIEW statement.
You can't execute CREATE EXTERNAL TABLE inside a transaction (BEGIN … END).
Syntax
CREATE EXTERNAL TABLE external_schema.table_name (column_name data_type [, …] ) [ PARTITIONED BY (col_name data_type [, … ] )] [ { ROW FORMAT DELIMITED row_format | ROW FORMAT SERDE 'serde_name' [ WITH SERDEPROPERTIES ( 'property_name' = 'property_value' [, ...] ) ] } ] STORED AS file_format LOCATION { 's3://bucket/folder/' | 's3://bucket/manifest_file' } [ TABLE PROPERTIES ( 'property_name'='property_value' [, ...] ) ]
Parameters
- external_schema.table_name
-
The name of the table to be created, qualified by an external schema name. External tables must be created in an external schema. For more information, see CREATE EXTERNAL SCHEMA.
The maximum length for the table name is 127 bytes; longer names are truncated to 127 bytes. You can use UTF-8 multibyte characters up to a maximum of four bytes. Amazon Redshift enforces a limit of 9,900 tables per cluster, including user-defined temporary tables and temporary tables created by Amazon Redshift during query processing or system maintenance. Optionally, you can qualify the table name with the database name. In the following example, the database name is
spectrum_db
, the external schema name isspectrum_schema
, and the table name istest
.create external table spectrum_db.spectrum_schema.test (c1 int) stored as textfile location 's3://mybucket/myfolder/';
If the database or schema specified doesn't exist, the table is not created, and the statement returns an error. You can't create tables or views in the system databases
template0
,template1
, andpadb_harvest
.The table name must be a unique name for the specified schema.
For more information about valid names, see Names and Identifiers.
- ( column_name data_type )
-
The name and data type of each column being created.
The maximum length for the column name is 127 bytes; longer names are truncated to 127 bytes. You can use UTF-8 multibyte characters up to a maximum of four bytes. You can't specify column names
"$path"
or"$size"
. For more information about valid names, see Names and Identifiers.By default, Amazon Redshift creates external tables with the pseudocolumns
$path
and$size
. You can disable creation of pseudocolumns for a session by setting thespectrum_enable_pseudo_columns
configuration parameter tofalse
. For more information, see Pseudocolumns .If pseudocolumns are enabled, the maximum number of columns you can define in a single table is 1,598. If pseudocolumns are not enabled, the maximum number of columns you can define in a single table is 1,600.
Note
If you are creating a "wide table," make sure that your list of columns doesn't exceed row-width boundaries for intermediate results during loads and query processing. For more information, see Usage Notes.
- data_type
-
The following data types are supported:
-
SMALLINT (INT2)
-
INTEGER (INT, INT4)
-
BIGINT (INT8)
-
DECIMAL (NUMERIC)
-
REAL (FLOAT4)
-
DOUBLE PRECISION (FLOAT8)
-
BOOLEAN (BOOL)
-
CHAR (CHARACTER)
-
VARCHAR (CHARACTER VARYING)
-
DATE (DATE data type can be used only with text, Parquet, or ORC data files, or as a partition column)
-
TIMESTAMP
Timestamp values in text files must be in the format
yyyy-MM-dd HH:mm:ss.SSSSSS
, as the following timestamp value shows:2017-05-01 11:30:59.000000
.The length of a VARCHAR column is defined in bytes, not characters. For example, a VARCHAR(12) column can contain 12 single-byte characters or 6 two-byte characters. When you query an external table, results are truncated to fit the defined column size without returning an error. For more information, see Storage and Ranges
For best performance, we recommend specifying the smallest column size that fits your data. To find the maximum size in bytes for values in a column, use the OCTET_LENGTH function. The following example returns the maximum size of values in the email column.
select max(octet_length(email)) from users; max --- 62
-
- PARTITIONED BY (col_name data_type [, … ] )
-
A clause that defines a partitioned table with one or more partition columns. A separate data directory is used for each specified combination, which can improve query performance in some circumstances. Partitioned columns don't exist within the table data itself. If you use a value for col_name that is the same as a table column, you get an error.
After creating a partitioned table, alter the table using an ALTER TABLE … ADD PARTITION statement to add partitions. When you add a partition, you define the location of the subfolder on Amazon S3 that contains the partition data. You can add only one partition in each ALTER TABLE statement.
For example, if the table
spectrum.lineitem_part
is defined withPARTITIONED BY (l_shipdate date)
, execute the following ALTER TABLE command to add a partition.ALTER TABLE spectrum.lineitem_part ADD PARTITION (l_shipdate='1992-01-29') LOCATION 's3://spectrum-public/lineitem_partition/l_shipdate=1992-01-29';
To view partitions, query the SVV_EXTERNAL_PARTITIONS system view.
- ROW FORMAT DELIMITED rowformat
-
A clause that specifies the format of the underlying data. Possible values for rowformat are as follows:
-
LINES TERMINATED BY 'delimiter'
-
FIELDS TERMINATED BY 'delimiter'
Specify a single ASCII character for 'delimiter'. You can specify non-printing ASCII characters using octal, in the format
'\
ddd
'
whered
is an octal digit (0–7) up to ‘\177’. The following example specifies the BEL (bell) character using octal.ROW FORMAT DELIMITED FIELDS TERMINATED BY '\007'
If ROW FORMAT is omitted, the default format is DELIMITED FIELDS TERMINATED BY '\A' (start of heading) and LINES TERMINATED BY '\n' (newline).
-
- ROW FORMAT SERDE 'serde_name'
- [WITH SERDEPROPERTIES ( 'property_name' = 'property_value' [, ...] ) ]
-
A clause that specifies the SERDE format for the underlying data.
- 'serde_name'
-
The name of the SerDe. The following are supported:
-
org.apache.hadoop.hive.serde2.RegexSerDe
-
com.amazonaws.glue.serde.GrokSerDe
-
org.apache.hadoop.hive.serde2.OpenCSVSerde
-
org.openx.data.jsonserde.JsonSerDe
-
The JSON SERDE also supports Ion files.
-
The JSON must be well-formed.
-
Timestamps in Ion and JSON must use ISO8601 format.
-
The following SerDe property is supported for the JsonSerDe:
'strip.outer.array'='true'
Processes Ion/JSON files containing one very large array enclosed in outer brackets ( [ … ] ) as if it contains multiple JSON records within the array.
-
-
- WITH SERDEPROPERTIES ( 'property_name' = 'property_value' [, ...] ) ]
-
Optionally, specify property names and values, separated by commas.
If ROW FORMAT is omitted, the default format is DELIMITED FIELDS TERMINATED BY '\A' (start of heading) and LINES TERMINATED BY '\n' (newline).
- STORED AS file_format
-
The file format for data files.
Valid formats are as follows:
-
PARQUET
-
RCFILE (for data using ColumnarSerDe only, not LazyBinaryColumnarSerDe)
-
SEQUENCEFILE
-
TEXTFILE
-
ORC
-
AVRO
-
INPUTFORMAT 'input_format_classname' OUTPUTFORMAT 'output_format_classname'
For INPUTFORMAT and OUTPUTFORMAT, specify a class name, as the following example shows:
'org.apache.hadoop.mapred.TextInputFormat'
-
- LOCATION { 's3://bucket/folder/' | 's3://bucket/manifest_file'
-
The path to the Amazon S3 bucket or folder that contains the data files or a manifest file that contains a list of Amazon S3 object paths. The buckets must be in the same AWS Region as the Amazon Redshift cluster. For a list of supported AWS Regions, see Amazon Redshift Spectrum Considerations.
If the path specifies a bucket or folder, for example,
's3://mybucket/custdata/'
, Redshift Spectrum scans the files in the specified bucket or folder and any subfolders. Redshift Spectrum ignores hidden files and files that begin with a period or underscore.If the path specifies a manifest file, the
's3://bucket/manifest_file'
argument must explicitly reference a single file—for example,'s3://mybucket/manifest.txt'
. It can't reference a key prefix.The manifest is a text file in JSON format that lists the URL of each file that is to be loaded from Amazon S3 and the size of the file, in bytes. The URL includes the bucket name and full object path for the file. The files that are specified in the manifest can be in different buckets, but all the buckets must be in the same AWS Region as the Amazon Redshift cluster. If a file is listed twice, the file is loaded twice. The following example shows the JSON for a manifest that loads three files.
{ "entries": [ {"url":"s3://mybucket-alpha/custdata.1", "meta": { "content_length": 5956875 } }, {"url":"s3://mybucket-alpha/custdata.2", "meta": { "content_length": 5997091 } }, {"url":"s3://mybucket-beta/custdata.1", "meta": { "content_length": 5978675 } } ] }
To reference files created using UNLOAD, you can use the manifest created using UNLOAD with the MANIFEST parameter. The manifest file is compatible with a manifest file for COPY from Amazon S3, but uses different keys. Keys that aren't used are ignored.
- TABLE PROPERTIES ( 'property_name'='property_value' [, ...] )
-
A clause that sets the table definition for table properties.
Note
Table properties are case-sensitive.
- 'compression_type'='value'
-
A property that sets the type of compression to use if the file name does not contain an extension. If you set this property and there is a file extension, the extension is ignored and the value set by the property is used. Valid values for compression type are as follows:
-
bzip2
-
gzip
-
none
-
snappy
-
- 'numRows'='row_count'
-
A property that sets the numRows value for the table definition. To explicitly update an external table's statistics, set the numRows property to indicate the size of the table. Amazon Redshift doesn't analyze external tables to generate the table statistics that the query optimizer uses to generate a query plan. If table statistics are not set for an external table, Amazon Redshift generates a query execution plan based on an assumption that external tables are the larger tables and local tables are the smaller tables.
- 'skip.header.line.count'='line_count'
-
A property that sets number of rows to skip at the beginning of each source file.
- 'serialization.null.format'=' '
-
A property that specifies Spectrum should return a
NULL
value when there is an exact match with the text supplied in a field. - 'orc.schema.resolution'='mapping_type'
-
A property that sets the column mapping type for tables that use ORC data format. This property is ignored for other data formats.
Valid values for column mapping type are as follows:
-
name
-
position
If the orc.schema.resolution property is omitted, columns are mapped by name by default. If orc.schema.resolution is set to any value other than 'name' or 'position', columns are mapped by position. For more information about column mapping, see Mapping External Table Columns to ORC Columns
Note
The COPY command maps to ORC data files only by position. The orc.schema.resolution table property has no effect on COPY command behavior.
-
Usage Notes
You can't view details for Amazon Redshift Spectrum tables using the same resources you use for standard Amazon Redshift tables, such as PG_TABLE_DEF, STV_TBL_PERM, PG_CLASS, or information_schema. If your business intelligence or analytics tool doesn't recognize Redshift Spectrum external tables, configure your application to query SVV_EXTERNAL_TABLES and SVV_EXTERNAL_COLUMNS.
Permissions to Create and Query External Tables
To create external tables, you must be the owner of the external schema or a
superuser. To transfer ownership of an external schema, use ALTER SCHEMA. The following example
changes the owner of the spectrum_schema
schema to
newowner
.
alter schema spectrum_schema owner to newowner;
To run a Redshift Spectrum query, you need the following permissions:
-
Usage permission on the schema
-
Permission to create temporary tables in the current database
The following example grants usage permission on the schema
spectrum_schema
to the spectrumusers
user group.
grant usage on schema spectrum_schema to group spectrumusers;
The following example grants temporary permission on the database
spectrumdb
to the spectrumusers
user group.
grant temp on database spectrumdb to group spectrumusers;
Pseudocolumns
By default, Amazon Redshift creates external tables with the pseudocolumns $path and $size. Select these columns to view the path to the data files on Amazon S3 and the size of the data files for each row returned by a query. The $path and $size column names must be delimited with double quotation marks. A SELECT * clause doesn't return the pseudocolumns . You must explicitly include the $path and $size column names in your query, as the following example shows.
select "$path", "$size" from spectrum.sales_part where saledate = '2008-12-01';
You can disable creation of pseudocolumns for a session by setting the spectrum_enable_pseudo_columns configuration parameter to false.
Important
Selecting $size or $path incurs charges because Redshift Spectrum scans the data files on Amazon S3 to determine the size of the result set. For more information, see Amazon Redshift Pricing.
Examples
The following example creates a table named SALES in the Amazon Redshift external
schema named
spectrum
. The data is in tab-delimited text files. The TABLE PROPERTIES
clause sets the numRows property to 170,000 rows.
create external table spectrum.sales( salesid integer, listid integer, sellerid integer, buyerid integer, eventid integer, saledate date, qtysold smallint, pricepaid decimal(8,2), commission decimal(8,2), saletime timestamp) row format delimited fields terminated by '\t' stored as textfile location 's3://awssampledbuswest2/tickit/spectrum/sales/' table properties ('numRows'='170000');
The following example creates a table that uses the JsonSerDe to reference data in JSON format.
create external table spectrum.cloudtrail_json ( event_version int event_id bigint, event_time timestamp, event_type varchar(10), awsregion varchar(20), event_name varchar(max), event_source varchar(max), requesttime timestamp, useragent varchar(max), recipientaccountid bigint) row format serde 'org.openx.data.jsonserde.JsonSerDe' with serdeproperties ( 'dots.in.keys' = 'true', 'mapping.requesttime' = 'requesttimestamp' ) location 's3://mybucket/json/cloudtrail';
For a list of existing databases in the external data catalog, query the SVV_EXTERNAL_DATABASES system view.
select eskind,databasename,esoptions from svv_external_databases order by databasename;
eskind | databasename | esoptions -------+--------------+---------------------------------------------------------------------------------- 1 | default | {"REGION":"us-west-2","IAM_ROLE":"arn:aws:iam::123456789012:role/mySpectrumRole"} 1 | sampledb | {"REGION":"us-west-2","IAM_ROLE":"arn:aws:iam::123456789012:role/mySpectrumRole"} 1 | spectrumdb | {"REGION":"us-west-2","IAM_ROLE":"arn:aws:iam::123456789012:role/mySpectrumRole"}
To view details of external tables, query the SVV_EXTERNAL_TABLES and SVV_EXTERNAL_COLUMNS system views.
The following example queries the SVV_EXTERNAL_TABLES view.
select schemaname, tablename, location from svv_external_tables;
schemaname | tablename | location -----------+----------------------+-------------------------------------------------------- spectrum | sales | s3://awssampledbuswest2/tickit/spectrum/sales spectrum | sales_part | s3://awssampledbuswest2/tickit/spectrum/sales_partition
The following example queries the SVV_EXTERNAL_COLUMNS view.
select * from svv_external_columns where schemaname like 'spectrum%' and tablename ='sales';
schemaname | tablename | columnname | external_type | columnnum | part_key -----------+-----------+------------+---------------+-----------+--------- spectrum | sales | salesid | int | 1 | 0 spectrum | sales | listid | int | 2 | 0 spectrum | sales | sellerid | int | 3 | 0 spectrum | sales | buyerid | int | 4 | 0 spectrum | sales | eventid | int | 5 | 0 spectrum | sales | saledate | date | 6 | 0 spectrum | sales | qtysold | smallint | 7 | 0 spectrum | sales | pricepaid | decimal(8,2) | 8 | 0 spectrum | sales | commission | decimal(8,2) | 9 | 0 spectrum | sales | saletime | timestamp | 10 | 0
To view table partitions, use the following query.
select schemaname, tablename, values, location from svv_external_partitions where tablename = 'sales_part';
schemaname | tablename | values | location -----------+------------+----------------+------------------------------------------------------------------------- spectrum | sales_part | ["2008-01-01"] | s3://awssampledbuswest2/tickit/spectrum/sales_partition/saledate=2008-01 spectrum | sales_part | ["2008-02-01"] | s3://awssampledbuswest2/tickit/spectrum/sales_partition/saledate=2008-02 spectrum | sales_part | ["2008-03-01"] | s3://awssampledbuswest2/tickit/spectrum/sales_partition/saledate=2008-03 spectrum | sales_part | ["2008-04-01"] | s3://awssampledbuswest2/tickit/spectrum/sales_partition/saledate=2008-04 spectrum | sales_part | ["2008-05-01"] | s3://awssampledbuswest2/tickit/spectrum/sales_partition/saledate=2008-05 spectrum | sales_part | ["2008-06-01"] | s3://awssampledbuswest2/tickit/spectrum/sales_partition/saledate=2008-06 spectrum | sales_part | ["2008-07-01"] | s3://awssampledbuswest2/tickit/spectrum/sales_partition/saledate=2008-07 spectrum | sales_part | ["2008-08-01"] | s3://awssampledbuswest2/tickit/spectrum/sales_partition/saledate=2008-08 spectrum | sales_part | ["2008-09-01"] | s3://awssampledbuswest2/tickit/spectrum/sales_partition/saledate=2008-09 spectrum | sales_part | ["2008-10-01"] | s3://awssampledbuswest2/tickit/spectrum/sales_partition/saledate=2008-10 spectrum | sales_part | ["2008-11-01"] | s3://awssampledbuswest2/tickit/spectrum/sales_partition/saledate=2008-11 spectrum | sales_part | ["2008-12-01"] | s3://awssampledbuswest2/tickit/spectrum/sales_partition/saledate=2008-12
The following example returns the total size of related data files for an external table.
select distinct "$path", "$size" from spectrum.sales_part; $path | $size ---------------------------------------+------- s3://awssampledbuswest2/tickit/spectrum/sales_partition/saledate=2008-01/ | 1616 s3://awssampledbuswest2/tickit/spectrum/sales_partition/saledate=2008-02/ | 1444 s3://awssampledbuswest2/tickit/spectrum/sales_partition/saledate=2008-02/ | 1444
Partitioning Examples
To create an external table partitioned by date, run the following command.
create external table spectrum.sales_part( salesid integer, listid integer, sellerid integer, buyerid integer, eventid integer, dateid smallint, qtysold smallint, pricepaid decimal(8,2), commission decimal(8,2), saletime timestamp) partitioned by (saledate date) row format delimited fields terminated by '|' stored as textfile location 's3://awssampledbuswest2/tickit/spectrum/sales_partition/' table properties ('numRows'='170000');
To add the partitions, run the following ALTER TABLE commands.
alter table spectrum.sales_part add if not exists partition (saledate='2008-01-01') location 's3://awssampledbuswest2/tickit/spectrum/sales_partition/saledate=2008-01/'; alter table spectrum.sales_part add if not exists partition (saledate='2008-02-01') location 's3://awssampledbuswest2/tickit/spectrum/sales_partition/saledate=2008-02/'; alter table spectrum.sales_part add if not exists partition (saledate='2008-03-01') location 's3://awssampledbuswest2/tickit/spectrum/sales_partition/saledate=2008-03/'; alter table spectrum.sales_part add if not exists partition (saledate='2008-04-01') location 's3://awssampledbuswest2/tickit/spectrum/sales_partition/saledate=2008-04/'; alter table spectrum.sales_part add if not exists partition (saledate='2008-05-01') location 's3://awssampledbuswest2/tickit/spectrum/sales_partition/saledate=2008-05/'; alter table spectrum.sales_part add if not exists partition (saledate='2008-06-01') location 's3://awssampledbuswest2/tickit/spectrum/sales_partition/saledate=2008-06/'; alter table spectrum.sales_part add if not exists partition (saledate='2008-07-01') location 's3://awssampledbuswest2/tickit/spectrum/sales_partition/saledate=2008-07/'; alter table spectrum.sales_part add if not exists partition (saledate='2008-08-01') location 's3://awssampledbuswest2/tickit/spectrum/sales_partition/saledate=2008-08/'; alter table spectrum.sales_part add if not exists partition (saledate='2008-09-01') location 's3://awssampledbuswest2/tickit/spectrum/sales_partition/saledate=2008-09/'; alter table spectrum.sales_part add if not exists partition (saledate='2008-10-01') location 's3://awssampledbuswest2/tickit/spectrum/sales_partition/saledate=2008-10/'; alter table spectrum.sales_part add if not exists partition (saledate='2008-11-01') location 's3://awssampledbuswest2/tickit/spectrum/sales_partition/saledate=2008-11/'; alter table spectrum.sales_part add if not exists partition (saledate='2008-12-01') location 's3://awssampledbuswest2/tickit/spectrum/sales_partition/saledate=2008-12/';
To select data from the partitioned table, run the following query.
select top 10 spectrum.sales_part.eventid, sum(spectrum.sales_part.pricepaid) from spectrum.sales_part, event where spectrum.sales_part.eventid = event.eventid and spectrum.sales_part.pricepaid > 30 and saledate = '2008-12-01' group by spectrum.sales_part.eventid order by 2 desc;
eventid | sum --------+--------- 914 | 36173.00 5478 | 27303.00 5061 | 26383.00 4406 | 26252.00 5324 | 24015.00 1829 | 23911.00 3601 | 23616.00 3665 | 23214.00 6069 | 22869.00 5638 | 22551.00
To view external table partitions, query the SVV_EXTERNAL_PARTITIONS system view.
select schemaname, tablename, values, location from svv_external_partitions where tablename = 'sales_part';
schemaname | tablename | values | location -----------+------------+----------------+-------------------------------------------------- spectrum | sales_part | ["2008-01-01"] | s3://awssampledbuswest2/tickit/spectrum/sales_partition/saledate=2008-01 spectrum | sales_part | ["2008-02-01"] | s3://awssampledbuswest2/tickit/spectrum/sales_partition/saledate=2008-02 spectrum | sales_part | ["2008-03-01"] | s3://awssampledbuswest2/tickit/spectrum/sales_partition/saledate=2008-03 spectrum | sales_part | ["2008-04-01"] | s3://awssampledbuswest2/tickit/spectrum/sales_partition/saledate=2008-04 spectrum | sales_part | ["2008-05-01"] | s3://awssampledbuswest2/tickit/spectrum/sales_partition/saledate=2008-05 spectrum | sales_part | ["2008-06-01"] | s3://awssampledbuswest2/tickit/spectrum/sales_partition/saledate=2008-06 spectrum | sales_part | ["2008-07-01"] | s3://awssampledbuswest2/tickit/spectrum/sales_partition/saledate=2008-07 spectrum | sales_part | ["2008-08-01"] | s3://awssampledbuswest2/tickit/spectrum/sales_partition/saledate=2008-08 spectrum | sales_part | ["2008-09-01"] | s3://awssampledbuswest2/tickit/spectrum/sales_partition/saledate=2008-09 spectrum | sales_part | ["2008-10-01"] | s3://awssampledbuswest2/tickit/spectrum/sales_partition/saledate=2008-10 spectrum | sales_part | ["2008-11-01"] | s3://awssampledbuswest2/tickit/spectrum/sales_partition/saledate=2008-11 spectrum | sales_part | ["2008-12-01"] | s3://awssampledbuswest2/tickit/spectrum/sales_partition/saledate=2008-12
Row Format Examples
The following shows an example of specifying the ROW FORMAT SERDE parameters for data files stored in AVRO format.
create external table spectrum.sales(salesid int, listid int, sellerid int, buyerid int, eventid int, dateid int, qtysold int, pricepaid decimal(8,2), comment VARCHAR(255)) ROW FORMAT SERDE 'org.apache.hadoop.hive.serde2.avro.AvroSerDe' WITH SERDEPROPERTIES ('avro.schema.literal'='{\"namespace\": \"dory.sample\",\"name\": \"dory_avro\",\"type\": \"record\", \"fields\": [{\"name\":\"salesid\", \"type\":\"int\"}, {\"name\":\"listid\", \"type\":\"int\"}, {\"name\":\"sellerid\", \"type\":\"int\"}, {\"name\":\"buyerid\", \"type\":\"int\"}, {\"name\":\"eventid\",\"type\":\"int\"}, {\"name\":\"dateid\",\"type\":\"int\"}, {\"name\":\"qtysold\",\"type\":\"int\"}, {\"name\":\"pricepaid\", \"type\": {\"type\": \"bytes\", \"logicalType\": \"decimal\", \"precision\": 8, \"scale\": 2}}, {\"name\":\"comment\",\"type\":\"string\"}]}') STORED AS AVRO location 's3://mybucket/avro/sales' ;
The following shows an example of specifying the ROW FORMAT SERDE parameters using RegEx.
create external table spectrum.types( cbigint bigint, cbigint_null bigint, cint int, cint_null int) row format serde 'org.apache.hadoop.hive.serde2.RegexSerDe' with serdeproperties ('input.regex'='([^\\x01]+)\\x01([^\\x01]+)\\x01([^\\x01]+)\\x01([^\\x01]+)') stored as textfile location 's3://mybucket/regex/types';
The following shows an example of specifying the ROW FORMAT SERDE parameters using Grok.
create external table spectrum.grok_log( timestamp varchar(255), pid varchar(255), loglevel varchar(255), progname varchar(255), message varchar(255)) row format serde 'com.amazonaws.glue.serde.GrokSerDe' with serdeproperties ('input.format'='[DFEWI], \\[%{TIMESTAMP_ISO8601:timestamp} #%{POSINT:pid:int}\\] *(?<loglevel>:DEBUG|FATAL|ERROR|WARN|INFO) -- +%{DATA:progname}: %{GREEDYDATA:message}') stored as textfile location 's3://mybucket/grok/logs';
The following shows an example of defining an Amazon S3 server access log in an S3 bucket. You can use Redshift Spectrum to query Amazon S3 access logs.
CREATE EXTERNAL TABLE IF NOT EXISTS spectrum.mybucket_s3_logs( bucketowner varchar(255), bucket varchar(255), requestdatetime varchar(2000), remoteip varchar(255), requester varchar(255), requested varchar(255), operation varchar(255), key varchar(255), requesturi_operation varchar(255), requesturi_key varchar(255), requesturi_httpprotoversion varchar(255), httpstatus varchar(255), errorcode varchar(255), bytessent bigint, objectsize bigint, totaltime varchar(255), turnaroundtime varchar(255), referrer varchar(255), useragent varchar(255), versionid varchar(255) ) ROW FORMAT SERDE 'org.apache.hadoop.hive.serde2.RegexSerDe' WITH SERDEPROPERTIES ( 'input.regex' = '([^ ]*) ([^ ]*) \\[(.*?)\\] ([^ ]*) ([^ ]*) ([^ ]*) ([^ ]*) ([^ ]*) \"([^ ]*)\\s*([^ ]*)\\s*([^ ]*)\" (- |[^ ]*) ([^ ]*) ([^ ]*) ([^ ]*) ([^ ]*) ([^ ]*) ([^ ]*) (\"[^\"]*\") ([^ ]*).*$') LOCATION 's3://mybucket/s3logs’;


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inspect here
Issue 3326: [Firebug lite] CSS Rule Line Number
test markup
In this test case we're actually testing three things:
- Firebug Lite's ability of accessing three kinds of stylesheets: internal (via <style>), external (via <link>, but from the same domain) and imported (via @import)
- Firebug Lite's ability of parsing these kinds of stylesheets and retrieving the correct line number for the rules
- Firebug Lite's ability of reordering rules according to specificity
Steps to reproduce
- Load Firebug Lite
- Inspect the element which says "inspect here" inside the content section (it is a div with id "test")
- Observe the Style Side Panel
Expected Result
- The first rule should be "#test"
- The second rule should be ".green"


Number and Number Sense
Chapter 1: Whole Numbers
Introduction
Lesson 1 : Visualizing Numbers up to 100 000 with Emphasis on Numbers 10 001 to 50 000
Lesson 2 : Place Value and Value of a Digit in Numbers up to 100 000
Lesson 3 : Reading and Writing Numbers up to 100 000 in Words and Symbols
Lesson 4 : Rounding Numbers to the Nearest Thousands and Ten Thousands
Lesson 5 : Comparing Numbers up to 100 000 using Rational Symbols
Lesson 6 : Ordering Numbers up to 100 000
Chapter 2: Multiplication and Division of Whole Numbers
Lesson 8 : Multiplying Numbers up to Three Digits by Numbers up to Two Digits without Regrouping
Lesson 9 : Multiplying Numbers up to Three Digits by Numbers up to Two Digits with Regrouping
Lesson 10 : Estimating the Product of 3-4 Digit Numbers by 2-3 Digit Numbers
Lesson 11 : Multiplying mentally 2 Digit by 1 Digit numbers with Products up to 200
Lesson 12 : Multiplying mentally 2 digit by 2 digit numbers with products up to 200
Lesson 13 : Solving Routine and Non-routine Word Problems Involving Multiplication of Whole numbers including Money
Lesson 14 : Solving Multistep Routine and Non-routine Problems involving Multiplication & Addition or Subtraction
Lesson 16 : Dividing 3-4 Digit numbers by 1 Digit Numbers without & with remainder
Lesson 17 : Dividing 3-4 Digit Numbers by 2 Digit Numbers without & with remainder
Lesson 18 : Dividing 3-4 Digit Numbers by 10, 100, or 1000 without Remainder
Lesson 19 : Dividing 3-4 Digit Numbers by 10, 100, or 1000 with Remainder
Lesson 20 : Estimating the Quotient of 3-4 Digit Dividends by 1-2 Digit Divisors
Lesson 21 : Dividing Mentally 2-3 Digit Numbers by 1 Digit Numbers without Remainder
Lesson 22 : Solving Routine & Non-routine Word Problems Involving Division
Lesson 23 : Solving Multistep Routine & Non-routine Word Problems Involving Division & Other Operations of Whole numbers
Lesson 24 : Performing Series of Operations (MDAS)
Chapter 3: Number Theory and Fraction
Lesson 26: Prime and Composite Numbers
Lesson 27: Finding Common Factors and the Greatest Common Factor (GCF)
Lesson 28: Finding the Common Multiples and the Least Common Multiple (LCM) of two Numbers
Lesson 29: Identifying Proper Fraction, Improper Fraction and Mixed Number
Lesson 30: Changing Improper Fractions to Mixed Numbers and Vice-Versa
Lesson 31: Changing Fractions to Lowest Terms
Lesson 32: Visualizing Addition and Subtraction of Similar Fractions
Lesson 33: Adding and Subtracting Similar Fractions
Lesson 34: Visualizing Subtraction of a Fraction from a Whole Number
Lesson 35: Visualizing Addition and Subtraction of Dissimilar Fractions
Lesson 36: Adding and Subtracting Dissimilar fractions
Lesson 37: Solving Word Problems Involving Addition or Subtraction of Fractions
Back to topics


Legal
This privacy policy (Privacy Policy) shall form an integral part of the Terms of Use of the Website (Terms) set out at file:///C:/Users/shind/Desktop/bootstrap-shop/index.html and shall be read along with the Terms. Any capitalized term not specifically defined herein shall draw its meaning from the meaning ascribed to such term in the Terms. We are Jabong.com, a service provided by Novarris Fashion Trading Private Limited, a wholly owned subsidiary of Jade eServices Private Limited from, Gurgaon, Haryana, India - 122015. In this Privacy Policy, references to you and User mean any person submitting any data to us or our agent or the Website.
If you have any comments or suggestions, we would be pleased to receive them at our Gurgaon address or at our email address<EMAIL_ADDRESS>Data protection is a matter of trust and your privacy is important to us. We shall therefore only use your name and other information which relates to you in the manner set out in this Privacy Policy. We will only collect information where it is necessary for us to do so and we will only collect information if it is relevant to our dealings with you. We will only keep your information for as long as we are either required to by law or as is relevant for the purposes for which it was collected.
When you download or use ComputerMart mobile apps, we may receive information about your location and your mobile device, including a unique identifier for your device. We may use this information to provide you with location-based services, such as advertising, search results, and other personalized content. You can also turn off the location services using your mobile phone settings.
We store small text files called Cookies in your device in order to enable various features of our apps. They are used to store user preferences and trends which can be used to improve user experience. Settings can be changed to accept or not accept Cookies in your browser settings. If you do accept a Cookie, you thereby agree to our use of any information collected by us through that Cookie. Any such information collected will only be used for improving the website experience.
We may share the information collected from You with our affiliates, employees, agents, service provider, sellers, suppliers, banks, payment gateway operators and such other individuals and institutions like judicial, quasi-judicial law enforcement agencies.
We collect, store and process your data for processing your purchase on the Website and any possible later claims, and to provide you with our services. We may collect your title, name, gender, email address, postal address, delivery address (if different), telephone number, mobile number, fax number, payment details, payment card details or bank account details, Internet protocol(IP) address, personal information received from social networking sites through which the You have registered to the Website including name, profile picture, email address or friends list, and any information made public in connection with that social media service and such other personal and non-personal information that may be required to access and operate the Website.
Under no circumstances do we rent, trade or share your personal information that we have collected with any other company for their marketing purposes without your consent. We reserve the right to communicate your personal information to any third party that makes a legally-compliant request for its disclosure.
SOCIAL MEDIA


We know April Showers bring May Flowers, but what does a thawing Winter mean? Most likely a wet, messy yard, and several tasks to transition you and your home into Spring mode. Here are 5 things that Listant can do to make your Spring bloom without the added stress!
1.  Set aside a day to plan out what you need to accomplish. Use Listant If you would like to outsource some of your work!
2. Clean Out Your Clutter: With the season changing, you may find yourself with broken or irrelevant items in your storage spaces. If you need help, or have large items that are too big for one person to haul, you can count on Listant to help you out!
3.  Use Listant to get help with this task!
4. Paint (anything): Don’t let chipped paint on your window panes and siding take away from your beautiful home either. Even if you need some fresh colors in your living room, you can find someone in your community to accomplish this on Listant!
5. Gutters: Need we say more? Don’t let the April Showers inconvenience you because Fall got the best of your gutters. Listant can help you outsource this task!
Using these methods will make your Spring more enjoyable than ever before! Remember, when you need to tackle your Spring to-do list, don’t hesitate for an instant, Just Listant!
Download TODAY in both the Apple & Google Play stores!


{% extends "base-documentation.html" %} {% block documentation %}
You can get the lastest version of the library by downloading it from Github and copying it into your project.
To start receiving prices from Liftpass, you must first initialize the Unity SDK with your application key and secret. This can be found either by doing an API request or using the dashboard. Additionally you must specify the server and port the Liftpass server runs from.
Import the Liftpass related Unity source code and call Init(applicationKey, applicationSecret, liftpassServer, liftpassPort, defaultPricesDataPath)
with your application credentials. You are now ready to start recording and receiving price updates.
sync
function.
{% highlight 'csharp' %}
Liftpass.Instance.Sync();
{% endhighlight %}
Once the SDK has completed the sync
function you can start looking up prices for virtual goods and rewards for the IAP.
{% highlight 'csharp' %}
// For virtual goods use the function getPrice
LiftpassCurrency virtualGoodPrice = Liftpass.Instance.GetPrice(NameOfVirtualGood);
// For IAP use the function getReward
LiftpassCurrency iapReward = Liftpass.Instance.GetReward(NameOfIAP);
{% endhighlight %}
The price/reward is stored in the LiftpassCurrency
object which contains eight variable representing the 8 possible currencies Liftpass can support. More information about managing and using Liftpass's currency model can be found in the Content Management page.
GetPrice()
and GetReward()
will be null
. You can also check wether there is a price/reward for a good using the function HasPricesForGood()
and HasRewardForGood()
respectively.
When the user makes a virtual good purchase the Liftpass SDK must be notified of the transaction.
{% highlight 'csharp' %} Liftpass.Instance.GetReward(NameOfVirtualGood); {% endhighlight %}Similarly when the user makes an IAP purchase and the receipt has been verified by a third-party, the purchase must be recorded by the Liftpass SDK.
{% highlight 'csharp' %} Liftpass.Instance.RecordIAPPurchase(NameOfIAP, product.price, product.currency); {% endhighlight %}The SDK can manage and track up to 32 unique progress metrics divided into 8 string based metrics and 24 numeric metrics. More information on how to use Liftpass' metric model can be found in the Content Management page.
{% highlight 'csharp' %} public static int RoundsWonMetric = 12; // Updating a numeric metric Liftpass.Instance.UpdateNumberMetric(RoundsWonMetric, roundsWon); // Or more shorter version Liftpass.Instance.IncrementNumberMetric(RoundsWonMetric); public static int PlayerColorMetric = 3; // Updating a string metric Liftpass.Instance.UpdateStringMetric(PlayerColorMetric, "blue"); {% endhighlight %}The index of each metric reflect those configured in the Liftpass server using either the API or dashboard.
The Liftpass SDK can track automatically several kinds of progress metrics. Once you configure the application and allocate the location of progress metric they can be configured in the application code using "pipes". Pipes will automatically update certain progress metrics for you.
{% highlight 'csharp' %} public static int SessionCountMetric = 16; // Configure pipe - every time the number of sessions increases, metric LiftpassSessionsCount will automatically update Liftpass.Instance.SetNumberPipe(LiftpassSessionsCount, SessionCountMetric); public static int LanguageMetric = 4; // The device language will now be recorded as the 6th metric Liftpass.Instance.SetStringPipe(LiftpassLanguageMetric, LanguageMetric); {% endhighlight %}Liftpass comes with a large collection of built-in pipes, not all are useful for all applications and so it is up to the developer to choose which make sense.
init(..)
is called.


SNMP Enumeration:
http://www.webpronews.com/snmp-enumeration-and-hacking-2003-09
http://carnal0wnage.attackresearch.com/2007/07/over-in-lso-chat-we-were-talking-about.html


{% extends '_layouts/base.html' %}
{% set id = 'what-is-ionic' %}
{% set title = "What is Ionic" %}
{% set header_style = 'transparent light' %}
{% block main %}
The dev-friendly app platform for building cross-platform apps with one
codebase, for any device, with the web.
{% endblock %}
{% block scripts %}
{% endblock %}


Equivalent to clicking the Delete command on the Edit menu. Removes the selected cells from the worksheet and shifts other cells to close up the space.
Syntax
EDIT.DELETE(shift_num)
EDIT.DELETE?(shift_num)
Shift_num is a number from 1 to 4 specifying whether to shift cells left or up after deleting the current selection or else to delete the entire row or column.
| Shift_num | Result |
| 1 | Shifts cells left |
| 2 | Shifts cells up |
| 3 | Deletes entire row |
| 4 | Deletes entire column |
If shift_num is omitted and if one cell or a horizontal range is selected, EDIT.DELETE shifts cells up.
If shift_num is omitted and a vertical range is selected, EDIT.DELETE shifts cells left.
Related Function
CLEAR Clears specified information from the selected cells or chart
Return to index


Observations
Our current metric
- Are you using staging right now?, Who is using staging?
- What code is running in staging right now?
- Looks like the version we are running did not include that fix I put in.
- How do I fix these merge conflicts from my feature branch?
- Why does it take so long to build?
- What version is running right now?
- When was this service last deployed?
- Why did the deployed service not start correctly?
- Ok let's try adding this then go over here and see if it shows up.
(2 hours later)
OK, that doesn't seem right, let's try this here now.
CICD
Continuous Integration, Continuous Delivery


Dan is a software engineer working at Square in San Francisco. He likes rock climbing, smoothies and emoji 🙏


Woman who sexually abused two young children in East Kilbride jailed for three years
Sick Samantha Smith, 30, repeatedly preyed on a boy aged five and a three-year-old girl but screamed 'I'm not a beast' when found guilty at an earlier hearing.
by East Kilbride News, https://www.dailyrecord.co.uk/authors/east-kilbride-news/A woman who sexually abused two young children but screamed ‘I’m not a beast' has been locked up for three years.
Samantha Smith, 30, repeatedly preyed on a boy aged five and a three-year-old girl at a house in East Kilbride and was sentenced today at Hamilton Sheriff Court.
The abuse continued until the boy was eight and the girl five.
The alarm was first raised in 2012 when the girl revealed Smith had touched her inappropriately and also abused her using a book and a wrapper from a packet of sweets.
A police investigation was launched but it was decided there was insufficient evidence to pursue a prosecution.
However, the boy, who suffers from autism, revealed in 2017 that Smith had targeted him.
He later fled his home in the aftermath of a police interview and sparked a missing person hunt. The terrified youngster was later found cowering in a bush.
Smith, of Blantyre, Lanarkshire , went on trial at Hamilton Sheriff Court where she denied any wrongdoing between November 2009 and June 2014.
A jury took an hour to convict her of sexually abusing the youngsters at a house in East Kilbride.
At her previous hearing Smith wept hysterically in the dock and shouted ‘I’m not a beast’ as the guilty verdicts were returned against her.


"NOADIAH "meeting with the Lord. (1.) A Levite who returned from Babylon (Ezra 8:33). (2.) A false prophetess who assisted Tobiah and Sanballat against the Jews(Nehemiah 6:14). Being bribed by them, she tried to stir up discontent among the inhabitants of Jerusalem, and so to embarrass Nehemiah in his great work of rebuilding the ruined walls of the city.
"NOADIAH "meeting with the Lord. (1.) A Levite who returned from Babylon (Ezra 8:33).
(2.) A false prophetess who assisted Tobiah and Sanballat against the Jews(Nehemiah 6:14). Being bribed by them, she tried to stir up discontent among the inhabitants of Jerusalem, and so to embarrass Nehemiah in his great work of rebuilding the ruined walls of the city.


3D Scanning (Lidar)
TAE remains on the cutting edge of new technology. Our LIDAR 3D Scanner allows us to offer clients pre-construction survey imagery as well as photo documentation of the process during construction and as-built surveys.
TAE also offers a broad range of GIS services, including GIS data compilation, data conversion, satellite image and photo interpretation, data translation, cartographic plotting and much more.
Connect With Us
contact us today for more info<PHONE_NUMBER>


- Beatrix Kiddo My fox force five joke - Vincent, You still wanna hear it?
- Budd, me (3) RE: Kiddo - That woman, deserves her revenge and... We deserve to die. But then again, so does she. So, I guess we'll just see. Won't we?
- Beatrix, me (2) RE: Bill - You must have big rats if you need Hattori Hanzo's steel.


{% load static %}
User Id {{ request.user.username }}
Member Since :{{ userdata.JoinDate }}
Phone No. {{ userdata.phone }}
Department: {{ userdata.dept }}.
Add your Skills
{{ skill.Skills }}
Incorrect old password
{% endif %}Posted by: {{ p.usr.username }}


HACKAHOLIC
QUEST 14
My teacher always told me that whenever I must present an answer, I put my answer within a few points. It's easy to go through all points than a huge paragraph.
Submit


Maritime Bulletin Daily Nov 22 – 23
by Mikhail VoytenkoAccidents
• Chemical tanker aground, Spain
• Capesize bulk carrier fire, Captain died UPDATE Official Statement
• Offshore tug attacked, 7 crew kidnapped, Gulf of Guinea
• Disabled Italian freighter on tow in Aegean sea
• Bunker tanker aground, Ukraine UPDATE total loss, illegal activities VIDEO
• Aground and Not Under Command vessels Worldwide Alerts (3 ships)
Details only for subscribers.
Annual subscription $750. For annual subscription, contact<EMAIL_ADDRESS>Subscribe if you want to receive accidents news ASAP and in full.


| Opcode | Instruction | Op/En | 64-bit Mode | Compat/Leg Mode | Description |
|---|---|---|---|---|---|
| 0F BD /r | BSR r16, r/m16 | RM | Valid | Valid | Bit scan reverse on r/m16. |
| 0F BD /r | BSR r32, r/m32 | RM | Valid | Valid | Bit scan reverse on r/m32. |
| REX.W + 0F BD /r | BSR r64, r/m64 | RM | Valid | N.E. | Bit scan reverse on r/m64. |
| Op/En | Operand 1 | Operand 2 | Operand 3 | Operand 4 |
| RM | ModRM:reg (w) | ModRM:r/m (r) | NA | NA |
Searches the source operand (second operand) for the most significant set bit (1 bit). If a most significant 1 bit is found, its bit index is stored in the destination operand (first operand). The source operand can be a register or a memory location; the destination operand is a register. The bit index is an unsigned offset from bit 0 of the source operand. If the content source operand is 0, the content of the destination operand is undefined.
In 64-bit mode, the instruction’s default operation size is 32 bits. Using a REX prefix in the form of REX.R permits access to additional registers (R8-R15). Using a REX prefix in the form of REX.W promotes operation to 64 bits. See the summary chart at the beginning of this section for encoding data and limits.
IF SRC = 0 THEN ZF ← 1; DEST is undefined; ELSE ZF ← 0; temp ← OperandSize – 1; WHILE Bit(SRC, temp) = 0 DO temp ← temp - 1; OD; DEST ← temp; FI;
The ZF flag is set to 1 if all the source operand is 0; otherwise, the ZF flag is cleared. The CF, OF, SF, AF, and PF, flags are undefined.
| #GP(0) |
If a memory operand effective address is outside the CS, DS, ES, FS, or GS segment limit. If the DS, ES, FS, or GS register contains a NULL segment selector. |
| #SS(0) | If a memory operand effective address is outside the SS segment limit. |
| #PF(fault-code) | If a page fault occurs. |
| #AC(0) | If alignment checking is enabled and an unaligned memory reference is made while the current privilege level is 3. |
| #UD | If the LOCK prefix is used. |
| #GP | If a memory operand effective address is outside the CS, DS, ES, FS, or GS segment limit. |
| #SS | If a memory operand effective address is outside the SS segment limit. |
| #UD | If the LOCK prefix is used. |
| #GP(0) | If a memory operand effective address is outside the CS, DS, ES, FS, or GS segment limit. |
| #SS(0) | If a memory operand effective address is outside the SS segment limit. |
| #PF(fault-code) | If a page fault occurs. |
| #AC(0) | If alignment checking is enabled and an unaligned memory reference is made. |
| #UD | If the LOCK prefix is used. |
Same exceptions as in protected mode.
| #SS(0) | If a memory address referencing the SS segment is in a non-canonical form. |
| #GP(0) | If the memory address is in a non-canonical form. |
| #PF(fault-code) | If a page fault occurs. |
| #AC(0) | If alignment checking is enabled and an unaligned memory reference is made while the current privilege level is 3. |
| #UD | If the LOCK prefix is used. |


Colour
Matte Black Classic White
Keyboard
88-key graded hammer action piano keyboard
Maximum Polyphony
128-note polyphony
Tones
128 GM-programmed timbres and 4 drum sets (only the timbre of a grand piano is available for demo play)
Piano Lights
88 sets of red and blue LED lights
Audio Sampling rate
44.1KHz
Sampling Tones
16-bit stereo
Speaker Size
Tweeter 1.25"*2 + Woofer 5"*2
Device / Connection
iOS 9.0 +
iPad 2/4, New Pad, iPad mini1/2/3/4, iPad Air1/2, iPad Pro
iPhone 5s/6/6 plus/6s/6s plus/7/7 plus/8/X
Android 4.4+ with USB Host/OTG
On/Off
Power will be automatically turned off if inactive for 30 minutes.
Metronome*
Optional to use. Turn the knob to adjust the tempo
Pedals
Three pedals. Soft, Sostenuto, and Sustain respectively from left to right
Recording Function*
Record music while playing and share with your social network
Tone Selection*
A variety of timbres to choose from
Power Source
15V power cord connected to the back of the piano
Cable Interface
The port is visible by pressing on and opening the small box on top of the piano.
The interface supports four specialized cables for The ONE Smart Piano.
Headphone Jack
Two 6.5mm headphone jacks (front and rear)
Connecting a headphone with the front headphone jack (via a headphone jack adaptor) makes the
sound audible only through the headphone, while connecting a headphone with the rear headphone jack
makes the sound audible through both the headphone and piano speakers.
Aux In/Out
6.5mm auxiliary interface
Care Instructions
1. Avoid direct sunlight. It will cause damage to the piano.
2. Do not disassemble the piano. Disassembling may cause damages that are not covered under the warranty.
Components list
Main body
Pedal
Back plate
Piano legs (left and right)
Toolkit
Headphone adaptor and cable
Power source DC 15V
User manual
Note: When specification are subject to change, refer to the actual product.
Functions with *: availability varies with the mobile device you’re using The ONE smart piano application on.


You Season 2 Officially Drops On Netflix December 26th
by Lucy ConnollyWhat more could you ask for this Christmas than the return of a crazed stalker who hides outside your apartment window and spies on every aspect of your life?
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Obviously I’m talking about the much-awaited return of You, with Netflix having just announced season two will be available to watch on the streaming service on December 26.
In other words, Joe will return to our screens on Boxing Day which, in case you’re wondering, is 44 days away (or 1,056 hours/633,60 minutes if you really want to get into the nitty gritty of it).
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As per entertainment.ie, Penn Badgley will be reprising his role as Joe in the upcoming series but has headed away from the scene of his last crime towards Los Angeles.
As such, and due to his last intense (stalker-ish) relationship with Beck (Elizabeth Lail) ending in her murder, season two is set to feature brand new actors – although Joe’s long lost ex-girlfriend Candace, who we only saw snippets of in season one, will be returning.
The second season will see Candace (played by Ambyr Childers) attempting to teach her ex a lesson, although viewers will see Joe become obsessed with yet another woman named Love Quinn (Victoria Pedretti).
Netflix released a new poster for the upcoming series earlier today (November 11):
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Love, an aspiring chef who’s working in an unfulfilling job, is working through her own feelings of grief when she meets Joe in LA. According to Radio Times, the young woman senses Joe has also lost someone – although she could never guess the gruesome truth.
Other new cast members include Melanie Field as Sunrise, ‘a stay at home mommy blogger raising a toddler’, and Marielle Scott as her partner Lucy, an ‘edgy-chic literary agent’ with a deadpan sense of humour.
Magda Apanowicz will star as Sandy, described only as ‘a woman from Joe’s past’, and Charlie Barnett as Gabe, the best friend of Love Quinn. Love’s brother, Forty Quinn – ‘confident, opinionated and privileged’ – will be played by James Scully.
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If you’re looking at all of this and thinking season two sounds like an entirely different show, you wouldn’t be too far off from the truth.
In a previous interview with Radio Times, Elizabeth Lail said she was ‘sad’ to not continue the journey with co-star Penn Badgley, but admitted it wouldn’t be the same anyway.
The actor explained:
I am sad to not continue that journey with him, but it’s only him, and I think they’re shooting it in LA, and so nothing will be the same. Hardly anything. It’ll be a whole other story.
Well, I don’t know about you lot but 44 days all of a sudden seems like way too long a wait. Hurry up, please.
You season two will be available to watch on Netflix from December 26.
A Broadcast Journalism Masters graduate who went on to achieve an NCTJ level 3 Diploma in Journalism, Lucy has done stints at ITV, BBC Inside Out and Key 103. While working as a journalist for UNILAD, Lucy has reported on breaking news stories while also writing features about mental health, cervical screening awareness, and Little Mix (who she is unapologetically obsessed with).


Apache Flink is developed by an open and friendly community. Everybody is cordially welcome to join the community and contribute to Apache Flink. There are several ways to interact with the community and to contribute to Flink including asking questions, filing bug reports, proposing new features, joining discussions on the mailing lists, contributing code or documentation, improving the website, or testing release candidates.
The Apache Flink community is eager to help and to answer your questions. We have a user mailing list and watch Stack Overflow on the [apache-flink] tag.
Please let us know if you experienced a problem with Flink and file a bug report. Open Flink’s Jira, log in if necessary, and click on the red Create button at the top. Please give detailed information about the problem you encountered and, if possible, add a description that helps to reproduce the problem. Thank you very much.
Our community is constantly looking for feedback to improve Apache Flink. If you have an idea how to improve Flink or have a new feature in mind that would be beneficial for Flink users, please open an issue in Flink’s Jira. The improvement or new feature should be described in appropriate detail and include the scope and its requirements if possible. Detailed information is important for a few reasons:
Detailed information is also required, if you plan to contribute the improvement or feature you proposed yourself. Please read the Contribute code guide in this case as well.
We recommend to first reach consensus with the community on whether a new feature is required and how to implement a new feature, before starting with the implementation. Some features might be out of scope of the project, and it’s best to discover this early.
For very big features that change Flink in a fundamental way we have another process in place: Flink Improvement Proposals. If you are interested you can propose a new feature there or follow the discussions on existing proposals.
Most communication in the Apache Flink community happens on two mailing lists:
<EMAIL_ADDRESS>is the place where users of Apache Flink ask questions and seek help or advice. Joining the user list and helping other users is a very good way to contribute to Flink’s community. Furthermore, there is the [apache-flink] tag on Stack Overflow if you’d like to help Flink users (and harvest some points<EMAIL_ADDRESS>is the place where Flink developers exchange ideas and discuss new features, upcoming releases, and the development process in general. If you are interested in contributing code to Flink, you should join this mailing list.You are very welcome to subscribe to both mailing lists.
The Apache Flink project receives many code contributions as Github pull requests. A great way to contribute to the Flink community is to help review pull requests.
Please read the Review Guide if you want to help review pull requests.
Apache Flink is continuously improved by its active community. Every few weeks, we release a new version of Apache Flink with bug fixes, improvements, and new features. The process of releasing a new version consists of the following steps:
+1
if no issues were found, -1
if the release candidate has issues).Our wiki contains a page that summarizes the test procedure for a release. Release testing is a big effort if done by a small group of people but can be easily scaled out to more people. The Flink community encourages everybody to participate in the testing of a release candidate. By testing a release candidate, you can ensure that the next Flink release is working properly for your setup and help to improve the quality of releases.
Apache Flink is maintained, improved, and extended by code contributions of volunteers. The Apache Flink community encourages anybody to contribute source code. In order to ensure a pleasant contribution experience for contributors and reviewers and to preserve the high quality of the code base, we follow a contribution process that is explained in our Contribute code guide. The guide also includes instructions on how to setup a development environment, our coding guidelines and code style, and explains how to submit a code contribution.
Please read the Contribute code guide before you start to work on a code contribution.
Please do also read the Submit a Contributor License Agreement Section.
We maintain a list of all known bugs, proposed improvements, and suggested features in Flink’s Jira. Issues that we believe are good tasks for new contributors are tagged with a special “starter” tag. Those tasks are supposed to be rather easy to solve and will help you to become familiar with the project and the contribution process.
Please have a look at the list of starter issues, if you are looking for an issue to work on. You can of course also choose any other issue to work on. Feel free to ask questions about issues that you would be interested in working on.
Good documentation is crucial for any kind of software. This is especially true for sophisticated software systems such as distributed data processing engines like Apache Flink. The Apache Flink community aims to provide concise, precise, and complete documentation and welcomes any contribution to improve Apache Flink’s documentation.
docs
folder in Flink’s source code repository. See the Contribute documentation guidelines for detailed instructions for how to update and improve the documentation and to contribute your changes.The Apache Flink website presents Apache Flink and its community. It serves several purposes including:
We welcome any contribution to improve our website.
There are many more ways to contribute to the Flink community. For example you can:
Please submit a contributor license agreement to the Apache Software Foundation (ASF) if you would like to contribute to Apache Flink. The following quote from http://www.apache.org/licenses gives more information about the ICLA and CCLA and why they are necessary.
The ASF desires that all contributors of ideas, code, or documentation to the Apache projects complete, sign, and submit (via postal mail, fax or email) an Individual Contributor License Agreement (CLA) [ PDF form ]. The purpose of this agreement is to clearly define the terms under which intellectual property has been contributed to the ASF and thereby allow us to defend the project should there be a legal dispute regarding the software at some future time. A signed CLA is required to be on file before an individual is given commit rights to an ASF project.
For a corporation that has assigned employees to work on an Apache project, a Corporate CLA (CCLA) is available for contributing intellectual property via the corporation, that may have been assigned as part of an employment agreement. Note that a Corporate CLA does not remove the need for every developer to sign their own CLA as an individual, to cover any of their contributions which are not owned by the corporation signing the CCLA.
…
Committers are community members that have write access to the project’s repositories, i.e., they can modify the code, documentation, and website by themselves and also accept other contributions.
There is no strict protocol for becoming a committer. Candidates for new committers are typically people that are active contributors and community members.
Being an active community member means participating on mailing list discussions, helping to answer questions, verifying release candidates, being respectful towards others, and following the meritocratic principles of community management. Since the “Apache Way” has a strong focus on the project community, this part is very important.
Of course, contributing code and documentation to the project is important as well. A good way to start is contributing improvements, new features, or bug fixes. You need to show that you take responsibility for the code that you contribute, add tests and documentation, and help maintaining it.
Candidates for new committers are suggested by current committers or PMC members, and voted upon by the PMC.
If you would like to become a committer, you should engage with the community and start contributing to Apache Flink in any of the above ways. You might also want to talk to other committers and ask for their advice and guidance.


#include <help.hpp>
Public Member Functions | |
| virtual void | print () const |
| Print help. | |
| virtual void | setProgramDescription (const QString &desc) |
| Set program description that will be used as first line in the help. | |
| virtual void | setExecutableName (const QString &exec) |
| Set executable name that defined in argv[0] or something else. | |
| virtual void | setUsageString (const QString &usage) |
| Set "USAGE" string. | |
| virtual void | setHelpString (const QString &help) |
| Set "HELP" string. | |
| virtual void | setDelimiterChar (const QChar &delim) |
| Set delimiter character. | |
Static Public Member Functions | |
| static QtArgDefaultHelpPrinter * | instance () |
Friends | |
| class | QtArgHelp |
| static QtArgDefaultHelpPrinter* QtArgDefaultHelpPrinter::instance | ( | ) | [inline, static] |


Management Team
Lewis Chan and Alex Phang founded L&A in August 2010. Since then, the company has grown to become a strong company worldwide, with a management team that represents some of the most experienced professionals in the industry.
Executive Officers
Lewis Chan and Alex Phang founded L&A in August 2010. Since then, the company has grown to become a strong company worldwide, with a management team that represents some of the most experienced professionals in the industry.
Executive Officers
Lewis Chan
| As L&A’s chief executive officer, Lewis is responsible for L&A’s day-to-day-operations, as well as leading the company’s product development and technology strategy. He co-founded L&A with Alex Phang in 2010 while pursuing a Bsc at Sunway University, and is the first CEO. Lewis holds a bachelor’s degree in computer science from the Sunway University, Bandar Sunway and a master’s degree in computer science from Lancaster University. He is a member of the Commitee of Elites (COE) of Sunway University Faculty of Science and Technology, and together with co-founder Alex Phang, Lewis was honoured with the Innovative Prize in 2011. He is a trustee on the board of the X PRIZE, and was elected to the National Academy of Computer Science in 2012. |
Alex Phang
| Alex Phang co-founded L&A in 2010. Today, he directs special projects. Now, Alex serves as the president of technology, where he shared responsibility for the company’s day-to-day operations with Lewis Chan. Alex received a bachelor’s degree with honours in computer science from the Sunway University at Bandar Sunway. He is currently on leave from the Ph.D. program in computer science at Lancaster University, where he received his master’s degree. Alex is a member of the National Academy of Computer Science and a recipient of a National Computer Science Foundation Graduate Fellowship. |
Copyright © 2014 L&A, Inc. All rights reserved.


You can teach Zhorai about an animal by saying things like, "Scorpions live in the sand and live in hot dry places."
Click on the microphone icon and begin speaking.
Speak now.
No speech was detected. You may need to adjust your microphone settings.
Click the "Allow" button above to enable your microphone.
Permission to use microphone was denied.
Permission to use microphone is blocked. To change, go to chrome://settings/contentExceptions#media-stream
Web Speech API is not supported by this browser. Upgrade to Chrome version 25 or later.


public class RewriteDataFilesAction
extends java.lang.Object
| Modifier and Type | Method and Description |
|---|---|
protected void |
commit(SnapshotUpdate<?> update) |
RewriteDataFilesActionResult |
execute()
Executes this action.
|
RewriteDataFilesAction |
filter(Expression expr)
Pass a row Expression to filter DataFiles to be rewritten.
|
protected java.lang.String |
metadataTableName(MetadataTableType type) |
RewriteDataFilesAction |
outputSpecId(int specId)
Pass a PartitionSpec id to specify which PartitionSpec should be used in DataFile rewrite
|
protected RewriteDataFilesAction |
self() |
ThisT |
set(java.lang.String property,
java.lang.String value) |
RewriteDataFilesAction |
splitLookback(int lookback)
Specify the number of "bins" considered when trying to pack the next file split into a task.
|
RewriteDataFilesAction |
splitOpenFileCost(long openFileCost)
Specify the minimum file size to count to pack into one "bin".
|
protected Table |
table() |
RewriteDataFilesAction |
targetSizeInBytes(long targetSize)
Specify the target rewrite data file size in bytes
|
protected RewriteDataFilesAction self()
protected Table table()
public RewriteDataFilesAction outputSpecId(int specId)
specId
- PartitionSpec id to rewritepublic RewriteDataFilesAction targetSizeInBytes(long targetSize)
targetSize
- size in bytes of rewrite data filepublic RewriteDataFilesAction splitLookback(int lookback)
This configuration can reorder the incoming file regions, to preserve order for lower/upper bounds in file metadata, user can use a lookback of 1.
lookback
- number of "bins" considered when trying to pack the next file split into a task.public RewriteDataFilesAction splitOpenFileCost(long openFileCost)
this configuration controls the number of files to compact for each task, small value would lead to a high compaction, the default value is 4MB.
openFileCost
- minimum file size to count to pack into one "bin".public RewriteDataFilesAction filter(Expression expr)
expr
- Expression to filter out DataFilespublic RewriteDataFilesActionResult execute()
Action
public ThisT set(java.lang.String property, java.lang.String value)
set
in interface SnapshotUpdateAction<ThisT,R>
protected void commit(SnapshotUpdate<?> update)
protected java.lang.String metadataTableName(MetadataTableType type)


| Module | ActiveRecord::Transactions::ClassMethods |
| In: |
/usr/lib/ruby/gems/1.8/gems/activerecord-3.0.0.beta4/lib/active_record/transactions.rb
|
Transactions are protective blocks where SQL statements are only permanent if they can all succeed as one atomic action. The classic example is a transfer between two accounts where you can only have a deposit if the withdrawal succeeded and vice versa. Transactions enforce the integrity of the database and guard the data against program errors or database break-downs. So basically you should use transaction blocks whenever you have a number of statements that must be executed together or not at all. Example:
ActiveRecord::Base.transaction do david.withdrawal(100) mary.deposit(100) end
This example will only take money from David and give it to Mary if neither withdrawal nor deposit raise an exception. Exceptions will force a ROLLBACK that returns the database to the state before the transaction began. Be aware, though, that the objects will not have their instance data returned to their pre-transactional state.
Though the transaction class method is called on some Active Record class, the objects within the transaction block need not all be instances of that class. This is because transactions are per-database connection, not per-model.
In this example a balance record is transactionally saved even though transaction is called on the Account class:
Account.transaction do balance.save! account.save! end
The transaction method is also available as a model instance method. For example, you can also do this:
balance.transaction do balance.save! account.save! end
A transaction acts on a single database connection. If you have multiple class-specific databases, the transaction will not protect interaction among them. One workaround is to begin a transaction on each class whose models you alter:
Student.transaction do Course.transaction do course.enroll(student) student.units += course.units end end
This is a poor solution, but fully distributed transactions are beyond the scope of Active Record.
Both save and destroy come wrapped in a transaction that ensures that whatever you do in validations or callbacks will happen under its protected cover. So you can use validations to check for values that the transaction depends on or you can raise exceptions in the callbacks to rollback, including after_* callbacks.
As a consequence changes to the database are not seen outside your connection until the operation is complete. For example, if you try to update the index of a search engine in after_save the indexer won‘t see the updated record. The after_commit callback is the only one that is triggered once the update is committed. See below.
Also have in mind that exceptions thrown within a transaction block will be propagated (after triggering the ROLLBACK), so you should be ready to catch those in your application code.
One exception is the ActiveRecord::Rollback exception, which will trigger a ROLLBACK when raised, but not be re-raised by the transaction block.
Warning: one should not catch ActiveRecord::StatementInvalid exceptions inside a transaction block. ActiveRecord::StatementInvalid exceptions indicate that an error occurred at the database level, for example when a unique constraint is violated. On some database systems, such as PostgreSQL, database errors inside a transaction cause the entire transaction to become unusable until it‘s restarted from the beginning. Here is an example which demonstrates the problem:
# Suppose that we have a Number model with a unique column called 'i'. Number.transaction do Number.create(:i => 0) begin # This will raise a unique constraint error... Number.create(:i => 0) rescue ActiveRecord::StatementInvalid # ...which we ignore. end # On PostgreSQL, the transaction is now unusable. The following # statement will cause a PostgreSQL error, even though the unique # constraint is no longer violated: Number.create(:i => 1) # => "PGError: ERROR: current transaction is aborted, commands # ignored until end of transaction block" end
One should restart the entire transaction if an ActiveRecord::StatementInvalid occurred.
transaction calls can be nested. By default, this makes all database statements in the nested transaction block become part of the parent transaction. For example:
User.transaction do User.create(:username => 'Kotori') User.transaction do User.create(:username => 'Nemu') raise ActiveRecord::Rollback end end User.find(:all) # => empty
It is also possible to requires a sub-transaction by passing :requires_new => true. If anything goes wrong, the database rolls back to the beginning of the sub-transaction without rolling back the parent transaction. For example:
User.transaction do User.create(:username => 'Kotori') User.transaction(:requires_new => true) do User.create(:username => 'Nemu') raise ActiveRecord::Rollback end end User.find(:all) # => Returns only Kotori
Most databases don‘t support true nested transactions. At the time of writing, the only database that we‘re aware of that supports true nested transactions, is MS-SQL. Because of this, Active Record emulates nested transactions by using savepoints. See dev.mysql.com/doc/refman/5.0/en/savepoints.html for more information about savepoints.
There are two types of callbacks associated with committing and rolling back transactions: after_commit and after_rollback.
after_commit callbacks are called on every record saved or destroyed within a transaction immediately after the transaction is committed. after_rollback callbacks are called on every record saved or destroyed within a transaction immediately after the transaction or savepoint is rolled back.
These callbacks are useful for interacting with other systems since you will be guaranteed that the callback is only executed when the database is in a permanent state. For example, after_commit is a good spot to put in a hook to clearing a cache since clearing it from within a transaction could trigger the cache to be regenerated before the database is updated.
If you‘re on MySQL, then do not use DDL operations in nested transactions blocks that are emulated with savepoints. That is, do not execute statements like ‘CREATE TABLE’ inside such blocks. This is because MySQL automatically releases all savepoints upon executing a DDL operation. When transaction is finished and tries to release the savepoint it created earlier, a database error will occur because the savepoint has already been automatically released. The following example demonstrates the problem:
Model.connection.transaction do # BEGIN Model.connection.transaction(:requires_new => true) do # CREATE SAVEPOINT active_record_1 Model.connection.create_table(...) # active_record_1 now automatically released end # RELEASE savepoint active_record_1 # ^^^^ BOOM! database error! end
Note that "TRUNCATE" is also a MySQL DDL statement!
# File /usr/lib/ruby/gems/1.8/gems/activerecord-3.0.0.beta4/lib/active_record/transactions.rb, line 205 205: def after_commit(*args, &block) 206: options = args.last 207: if options.is_a?(Hash) && options[:on] 208: options[:if] = Array.wrap(options[:if]) 209: options[:if] << "transaction_include_action?(:#{options[:on]})" 210: end 211: set_callback(:commit, :after, *args, &block) 212: end
# File /usr/lib/ruby/gems/1.8/gems/activerecord-3.0.0.beta4/lib/active_record/transactions.rb, line 214 214: def after_rollback(*args, &block) 215: options = args.last 216: if options.is_a?(Hash) && options[:on] 217: options[:if] = Array.wrap(options[:if]) 218: options[:if] << "transaction_include_action?(:#{options[:on]})" 219: end 220: set_callback(:rollback, :after, *args, &block) 221: end
See ActiveRecord::Transactions::ClassMethods for detailed documentation.
# File /usr/lib/ruby/gems/1.8/gems/activerecord-3.0.0.beta4/lib/active_record/transactions.rb, line 200 200: def transaction(options = {}, &block) 201: # See the ConnectionAdapters::DatabaseStatements#transaction API docs. 202: connection.transaction(options, &block) 203: end


---
layout: slides
title: "How to remember, and how to forget, part I."
category: hidden
type: course
semester: Fall 2018
college: Wellesley College
permalink: /cognition/memory-part-1/
---
# How to remember, and how to forget, part I.
???
The first stop on our tour of the mind is space. Every person exists somewhere in space, and a tremendous amount of our daily experience deals with making sure that we move ourselves and the objects under our control from one place to the next.
---
# About me.
---
# The purpose of memory
What is the use in being able to remember? What does memory make possible?
???
Holding a grudge and getting revenge.
---
# The challenge of memory
Remember Pinker's robot challenge? What would be hard about building a robot that could remember its experience?
---
# An architecture of multiple systems
- Iconic memory
- Working memory
- Long-term memory
- Culture, literature
---
# An architecture of multiple systems
- Iconic memory — 0.100 s
- Working memory — 1 to 10 s.
- Long-term memory — 10 s to 100 years.
- Culture, literature — minutes to millenia
---
# Iconic memory
Sperling's "partial report" paradigm.
---
# Iconic memory
The forgetting function.
---
# Working memory
Here's a demo, try to remember all the letters.
---
class: center, middle
---
class: center, middle
…
---
class: center, middle
What was on the bottom row?
---
# Long-term memory, capacity
---
# Long-term memory, timescale
---
# Spaced repetition
---
# Culture, literature
???
---
class: center, middle
# Fin.


Henry Onyekuru, Super Eagles striker, emerges as transfer target for Celta Vigo
- Henry Onyekuru who plays for Monaco has been linked with a move to Celta Vigo
- Celta Vigo are currently not doing well this season in the Spanish La Liga as they languish in 18th position on the table
- They, however, want Onyekuru to help their quest of escaping relegation this season
Spanish La Liga side Celta Vigo are reportedly interested in signing Super Eagles striker Henry Onyekuru who currently plays for French club Monaco.
Celta Vigo have not been impressive this season in all competitions and they are currently occupying 18th position on the standings with 9 points after 13 games.
According to the report on Hurriyet, Celta Vigo chiefs are ready to go for the signing of the Nigerian forward when the January transfer window opens.
They see Henry Onyekuru as a player who can help them get goals to avoid relegation this season.
Rohr to hand another England-born Nigerian star Super Eagles call up
PAY ATTENTION: Install Pitch Football App for FREE to get the latest football News & Scores
But it is not certain if Monaco would want to lose the player they recently bought only if Celta Vigo can meet their asking price.
Recently, two clubs in Russia - CSKA and Lokomotiv Moscow, were reported to be interested in signing Henry Onyekuru in which Monaco refused to do business with any.
Henry Onyekuru was among the Super Eagles stars who won bronze medal at the 2019 African Cup of Nations in Egypt.
He was also among the Super Eagles players who played against Benin and Lesotho in 2021 African Cup of Nations qualifiers.
Earlier, Legit.ng had reported how Super Eagles handler Gernot Rohr explained that Lesotho gave his men lot of troubles in Maseru after their win over the hosts in 2021 African Cup of Nations qualifiers.
Super Eagles star Chukwueze gets huge recognition as he is compared to Liverpool's Mane
Rohr and his men traveled to Lesotho with full confidence after beating Benin Republic in Uyo, but they conceded the first goal against the hosts in Maseru.
Abu Azeez: Meet the only Nigerian rated among top 50 beach soccer players worldwide | Legit TV


Market cycle study through sinewave suggests the following:
- Bull market are long as one full wave length: λ (peak to peak)
- Bear market lasts λ/2
- Accumulation lasts λ/2
Currently in accumulation phase.
Note:
Sinewave peaks overlap monthly macd histogram peaks
@Must...


This is a page of dinosaurs
And this is a subtitle
Home
My DINOSAURS
Why DINOSAURS?
Try DINOSAURS!
Follow some guy on twitter
My dinosaurs
Why dinosaurs?
Does this need to be asked?
Try dinosaurs!


This is a small utility to help manageing the Monkeybread Software Realbasic Plugins.
Way one: Copy the compiled application into the Realbasic folder. Way two: Make an alias named "Plugins" to your plugins folder into the application folder of MBS Plugin Manager so it can find the plugins.
Does not work while Realbasic is running.
It is possible that the plugins depend on a certain load order Realbasic may report errors. CF plugin part must be loaded first in some plugin versions.
Written 2006-2012 by Christian Schmitz using Real Studio 2012r1.


[Date]
[[Name of School District]]
[[Address of Superintendent's Office ]]
Dear Superintendent:
I am writing from the Department for Children and Families to request that [Child's Name], who came into state custody on [Date of custody], maintain school placement at [Name of School].
The child has moved to the home of [Name of Resource Family] at [Resource Family Address].
This child’s mother, [Name], lives in [Town].
This child’s father, [Name], lives in [Town].
Attached is a copy of the Best Interest Determination Evaluation Form that has been completed by input from this student’s team. This document and attachments outline the student’s educational needs and why those needs can be best met by the student remaining in their current school.
Thank you!
Sincerely,
Social Worker
Cc:Principal Superintendent


deployed
by None at 2021-08-30 20:26:30.head_ref_force_pushed
by Trey Pendragon at 2021-08-30 21:11:55.referenced
by Kevin Reiss at 2021-08-30 21:51:18.merged
by Kevin Reiss at 2021-08-30 21:51:18.closed
by Kevin Reiss at 2021-08-30 21:51:18.head_ref_deleted
by Bess Sadler at 2021-08-30 19:59:54.referenced
by Bess Sadler at 2021-08-30 19:06:27.merged
by Bess Sadler at 2021-08-30 19:06:27.closed
by Bess Sadler at 2021-08-30 19:06:28.head_ref_deleted
by Bess Sadler at 2021-08-30 19:06:28.referenced
by Bess Sadler at 2021-08-30 19:31:15.merged
by Bess Sadler at 2021-08-30 19:31:15.closed
by Bess Sadler at 2021-08-30 19:31:15.head_ref_deleted
by Bess Sadler at 2021-08-30 19:31:15.referenced
by Bess Sadler at 2021-08-30 18:57:09.merged
by Bess Sadler at 2021-08-30 18:57:09.closed
by Bess Sadler at 2021-08-30 18:57:09.head_ref_deleted
by Bess Sadler at 2021-08-30 18:57:12.Done. Now displays "Ask Staff"
head_ref_force_pushed
by Hector Correa at 2021-08-30 14:13:59.@dependabot rebase
deployed
by None at 2021-08-30 20:17:39.mentioned
by Dependabot at 2021-08-30 20:20:06.head_ref_force_pushed
by None at 2021-08-30 20:21:13.deployed
by None at 2021-08-30 20:28:40.deployed
by None at 2021-08-30 20:38:10.referenced
by Bess Sadler at 2021-08-30 20:41:28.merged
by Bess Sadler at 2021-08-30 20:41:29.closed
by Bess Sadler at 2021-08-30 20:41:29.head_ref_deleted
by Bess Sadler at 2021-08-30 20:41:29.@dependabot rebase
Superseded by #2692.
mentioned
by Dependabot at 2021-08-30 20:42:00.closed
by None at 2021-08-30 20:42:37.head_ref_deleted
by None at 2021-08-30 20:42:37.labeled
by None at 2021-08-30 20:42:35.labeled
by None at 2021-08-30 20:42:35.deployed
by None at 2021-08-30 20:45:09.referenced
by Bess Sadler at 2021-08-30 20:54:45.merged
by Bess Sadler at 2021-08-30 20:54:45.closed
by Bess Sadler at 2021-08-30 20:54:45.head_ref_deleted
by Bess Sadler at 2021-08-30 20:54:46.labeled
by None at 2021-08-30 20:55:49.labeled
by None at 2021-08-30 20:55:49.Superseded by #2693.
closed
by None at 2021-08-30 20:55:51.head_ref_deleted
by None at 2021-08-30 20:55:52.head_ref_force_pushed
by None at 2021-08-30 20:55:46.head_ref_force_pushed
by None at 2021-08-30 20:55:47.@dependabot rebase
mentioned
by Dependabot at 2021-08-30 20:55:14.head_ref_force_pushed
by None at 2021-08-30 20:55:43.deployed
by None at 2021-08-30 20:56:05.referenced
by Bess Sadler at 2021-08-30 21:09:32.merged
by Bess Sadler at 2021-08-30 21:09:32.closed
by Bess Sadler at 2021-08-30 21:09:32.head_ref_deleted
by Bess Sadler at 2021-08-30 21:09:32.referenced
by Bess Sadler at 2021-08-30 19:24:02.merged
by Bess Sadler at 2021-08-30 19:24:02.closed
by Bess Sadler at 2021-08-30 19:24:02.head_ref_deleted
by Bess Sadler at 2021-08-30 19:24:03.@dependabot rebase
Superseded by #35.
mentioned
by Dependabot at 2021-08-30 19:24:22.closed
by None at 2021-08-30 19:24:53.head_ref_deleted
by None at 2021-08-30 19:24:54.labeled
by None at 2021-08-30 19:24:51.referenced
by Bess Sadler at 2021-08-30 19:30:08.merged
by Bess Sadler at 2021-08-30 19:30:08.closed
by Bess Sadler at 2021-08-30 19:30:08.head_ref_deleted
by Bess Sadler at 2021-08-30 19:30:08.@dependabot rebase
@dependabot rebase
mentioned
by Dependabot at 2021-08-30 19:24:46.head_ref_force_pushed
by None at 2021-08-30 19:24:54.head_ref_force_pushed
by None at 2021-08-30 19:25:18.mentioned
by Dependabot at 2021-08-30 19:30:27.head_ref_force_pushed
by None at 2021-08-30 19:30:57.head_ref_force_pushed
by None at 2021-08-30 19:31:23.With https://github.com/pulibrary/ouranos/pull/18/commits/66516b6155ccc0370cb2e29eef4e158b7da1ab2d, this is now at 100% coverage.
renamed
by James R. Griffin III at 2021-08-30 18:39:46.head_ref_force_pushed
by James R. Griffin III at 2021-08-30 20:34:51.head_ref_force_pushed
by James R. Griffin III at 2021-08-30 20:38:31.head_ref_force_pushed
by James R. Griffin III at 2021-08-30 20:52:49.head_ref_force_pushed
by James R. Griffin III at 2021-08-30 20:58:54.referenced
by Francis Kayiwa at 2021-08-30 21:15:08.merged
by Francis Kayiwa at 2021-08-30 21:15:08.closed
by Francis Kayiwa at 2021-08-30 21:15:08.head_ref_deleted
by Francis Kayiwa at 2021-08-30 21:15:09.referenced
by Kevin Reiss at 2021-08-30 00:51:15.merged
by Kevin Reiss at 2021-08-30 00:51:15.closed
by Kevin Reiss at 2021-08-30 00:51:15.head_ref_deleted
by Kevin Reiss at 2021-08-30 00:51:16.referenced
by None at 2021-08-30 11:56:07.merged
by None at 2021-08-30 11:56:07.closed
by None at 2021-08-30 11:56:07.head_ref_deleted
by None at 2021-08-30 11:56:08.assigned
by Bess Sadler at 2021-08-30 14:24:03.We are now experiencing issues with directing researchers to how they can contact us. We would like to add the Ask Us button to the finding aids. The libapp ask us should go to the Special Collections libanswers queue.
labeled
by Christa Cleeton at 2021-08-30 15:24:56.I am still seeing the banner on the site.
the mudd portion is still showing
@ccleeton We just had to deploy it, it should be good now.
mentioned
by Christa Cleeton at 2021-08-30 15:33:28.subscribed
by Christa Cleeton at 2021-08-30 15:33:28.It looks like any request that goes to https://findingaids.princeton.edu/catalog/suggest triggers this error.
If /catalog/suggest
is not a valid URL perhaps we should handle this different rather than reporting an HTTP 500
Or, if we are really expecting to handle this URL (see https://github.com/pulibrary/pulfalight/blob/main/app/controllers/catalog_controller.rb#L272) maybe there is indeed a bug to fix.
renamed
by Hector Correa at 2021-08-30 15:31:09.Can we unblock this now? @tpendragon
Yang from cataloging reported an issue with how the subject headings are coded in MARC records created from EADs. Geographic headings should be $z in MARC, but they are in $x.
I'll mark this unblocked, but we still need details from @regineheberlein about how this used to work.
My understanding is that the old process of converting collection-level EADs to MARC21 that I worked on with @regineheberlein is no longer needed since ASpace has the ability to export MARC21, but I may be mistaken.
Maybe that's the case? Attached is an example of what ASpace outputs:
https://gist.github.com/tpendragon/4331a23afce506e0c34a62981fb7ce92
mentioned
by Trey Pendragon at 2021-08-30 13:38:19.subscribed
by Trey Pendragon at 2021-08-30 13:38:19.mentioned
by None at 2021-08-30 16:24:36.subscribed
by None at 2021-08-30 16:24:36.unlabeled
by Trey Pendragon at 2021-08-30 16:24:41.mentioned
by None at 2021-08-30 16:40:17.subscribed
by None at 2021-08-30 16:40:17.closed
by James R. Griffin III at 2021-08-30 18:08:33.referenced
by James R. Griffin III at 2021-08-30 18:08:33.merged
by James R. Griffin III at 2021-08-30 18:08:33.closed
by James R. Griffin III at 2021-08-30 18:08:34.head_ref_deleted
by James R. Griffin III at 2021-08-30 18:08:34.Remove:
If you are an undergraduate requesting to pick up books from a Library location other than Firestone, please be sure that you have access to the building. Access can be requested through your academic department.
Remove: When picking up and/or dropping off your books
Please do so promptly | Please do so promptly | Remain only in the designated pick-up area | Remain only in the designated pick-up area
Change: hours to current location hours
Example record: https://catalog.princeton.edu/catalog/SCSB-9979922
assigned
by None at 2021-08-30 15:27:57.head_ref_force_pushed
by None at 2021-08-30 19:03:10.head_ref_force_pushed
by None at 2021-08-30 19:03:40.Resolved: Research Data is back up in eb6c17b
.
labeled
by Francis Kayiwa at 2021-08-30 08:29:28.labeled
by Francis Kayiwa at 2021-08-30 08:29:28.locked
by Francis Kayiwa at 2021-08-30 08:29:29.closed
by Francis Kayiwa at 2021-08-30 08:41:16.Resolved: Cicognara is back up in a128a45
.
labeled
by Francis Kayiwa at 2021-08-30 08:30:00.labeled
by Francis Kayiwa at 2021-08-30 08:30:00.locked
by Francis Kayiwa at 2021-08-30 08:30:01.closed
by Francis Kayiwa at 2021-08-30 08:41:28.Resolved: OAR is back up in 986289d
.
labeled
by Francis Kayiwa at 2021-08-30 21:53:38.labeled
by Francis Kayiwa at 2021-08-30 21:53:38.locked
by Francis Kayiwa at 2021-08-30 21:53:39.closed
by Francis Kayiwa at 2021-08-30 22:00:42.


[1]
major issue i found no gain noise is with tape.
[2]
major issue i found no gain noise is with None.


My home page
This is an example of interactivity between JavaScript and the HTML content of a document.
Click me to change the title of the page
Click me to change the CSS colors of the title of the page


Version 1.1.0 - Created by Sebastian Helzle
This demo shows how create a simple slider.
The auto-rotation stops while hovering and continues after the mouse leaves. Try swiping over the rondell if you are using a touch device.
Here's how it's done


|
TSGL
A thread-safe graphics library
|
An abstract database protecting a vector of data. More...
#include <RWDatabase.h>
Public Member Functions | |
| RWDatabase () | |
| Default constructor for the RWDatabase class. More... | |
| RWDatabase (int max) | |
| Explicit constructor for the RWDatabase class. More... | |
| int | getItemCount () |
| int | getMaxCapacity () |
| Item | read (unsigned index) |
| read() returns the Item from the vector at an index More... | |
| void | write (Item it, unsigned index) |
| write() sets an item at an index More... | |
Protected Attributes | |
| std::vector< Item > | vec |
| unsigned | maxCapacity |
An abstract database protecting a vector of data.
Database has its locks and a vector
Locking methods must be implemented in subclass, giving priority to different types of threads.
| RWDatabase< Item >::RWDatabase | ( | ) |
Default constructor for the RWDatabase class.
| RWDatabase< Item >::RWDatabase | ( | int | max | ) |
Explicit constructor for the RWDatabase class.
| max,an | int describing the maximum size of the contained vector |
| Item RWDatabase< Item >::read | ( | unsigned | index | ) |
read() returns the Item from the vector at an index
| index,an | index in the vector to access a piece of data |
Referenced by Reader::Reader(), and Writer::Writer().
| void RWDatabase< Item >::write | ( | Item | it, |
| unsigned | index | ||
| ) |
write() sets an item at an index
| it,an | Item to add to the vector |
| index,the | index to add the Item it |
Referenced by Writer::Writer().


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{% load static %}
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PACManTrain¶
-
class
pacman2020.
PACManTrain
(cycles_to_analyze=[24, 25])¶ Bases:
pacman2020.PACManPipeline
This class provides the functionality required for training a model
The core functionality is as follows,
Read in multiple cycles worth of proposals and perform the
necessary pre-processing steps for text data
Generate an encoding for mapping category names to integer
labels
Create a scikit-learn Pipeline object for vectorizing training
data and feeding it into a multi-class classification model
Write the trained model and encoder out file
- Parameters
cycles_to_analyze (list) – A list of integers mapping to proposal cycles. Each proposal in the list will be processed.
Methods Summary
fit_model
(df[, clf, vect, sample_weight])Make a Pipeline object and use it to fit the dataset
read_training_data
([parallel])Read in training data
save_model
([fname])Write the model to file, must have .joblib extension
Methods Documentation
-
fit_model
(df, clf=None, vect=None, sample_weight=1)¶ Make a Pipeline object and use it to fit the dataset
- If no classifier or vectorizer is passed, then the defaults are used:
clf –> MultinomialNB(alpha=0.05)
- vect –> TfidfVectorizer(
max_features=10000, use_idf=True, norm=’l2’, ngram_range=(1, 2)
)
- Parameters
df (pd.DataFrame) – Pandas DataFrame containing the training data
clf (classifier) – Multi-class classifier from scikit-learn
vect (vectorizer) – Vectorizer to use for generating the lexicon
-
read_training_data
(parallel=False)¶ Read in training data
For each cycle, read in and pre-process the proposals training corpora. Note that in order for data to be used for training, it must have a cycle_N_hand_classifications.txt file located in the same directory as the training corpora.
-
save_model
(fname=None)¶ Write the model to file, must have .joblib extension
- Parameters
fname –


Demo of AnyToken library intended for rfduino, displaying the color reading in action.
Click on the black button to discover devices. Devices will pop up as new grey buttons with their name on it. Click the name button to attempt to connect. It will turn blue to signal connection is pending, and green when connected. (Red signals it being/having disconnected.)
Click a rfduino with updated firmware (irmware/RFduino.ino) in order to subscribe to its 'MOVE' events. Logging using hyper.log shows previous and current color id when changed.


|
NANO103 BSP V3.01.003
The Board Support Package for Nano103 Series
|
Modules | |
| NANO103 I/O Routines | |
Macros | |
| #define | WDT ((WDT_T *) WDT_BASE) |
| Pointer to WDT register structure. More... | |
| #define | WWDT ((WWDT_T *) WWDT_BASE) |
| Pointer to WWDT register structure. More... | |
| #define | RTC ((RTC_T *) RTC_BASE) |
| Pointer to RTC register structure. More... | |
| #define | TIMER0 ((TIMER_T *) TIMER0_BASE) |
| Pointer to TIMER0 register structure. More... | |
| #define | TIMER1 ((TIMER_T *) TIMER1_BASE) |
| Pointer to TIMER1 register structure. More... | |
| #define | TIMER2 ((TIMER_T *) TIMER2_BASE) |
| Pointer to TIMER2 register structure. More... | |
| #define | TIMER3 ((TIMER_T *) TIMER3_BASE) |
| Pointer to TIMER3 register structure. More... | |
| #define | I2C0 ((I2C_T *) I2C0_BASE) |
| Pointer to I2C0 register structure. More... | |
| #define | I2C1 ((I2C_T *) I2C1_BASE) |
| Pointer to I2C1 register structure. More... | |
| #define | SPI0 ((SPI_T *) SPI0_BASE) |
| Pointer to SPI0 register structure. More... | |
| #define | SPI1 ((SPI_T *) SPI1_BASE) |
| Pointer to SPI1 register structure. More... | |
| #define | SPI2 ((SPI_T *) SPI2_BASE) |
| Pointer to SPI2 register structure. More... | |
| #define | SPI3 ((SPI_T *) SPI3_BASE) |
| Pointer to SPI3 register structure. More... | |
| #define | PWM0 ((PWM_T *) PWM0_BASE) |
| Pointer to PWM0 register structure. More... | |
| #define | UART0 ((UART_T *) UART0_BASE) |
| Pointer to UART0 register structure. More... | |
| #define | UART1 ((UART_T *) UART1_BASE) |
| Pointer to UART1 register structure. More... | |
| #define | LCD ((LCD_T *) LCD_BASE) |
| Pointer to LCD register structure. More... | |
| #define | ADC ((ADC_T *) ADC_BASE) |
| Pointer to ADC register structure. More... | |
| #define | SC0 ((SC_T *) SC0_BASE) |
| Pointer to SC0 register structure. More... | |
| #define | SC1 ((SC_T *) SC1_BASE) |
| Pointer to SC1 register structure. More... | |
| #define | ACMP ((ACMP_T *) ACMP_BASE) |
| Pointer to ACMP register structure. More... | |
| #define | SYS ((SYS_T *) SYS_BASE) |
| Pointer to SYS register structure. More... | |
| #define | CLK ((CLK_T *) CLK_BASE) |
| Pointer to CLK register structure. More... | |
| #define | PA ((GPIO_T *) GPIOA_BASE) |
| Pointer to GPIO port A register structure. More... | |
| #define | PB ((GPIO_T *) GPIOB_BASE) |
| Pointer to GPIO port B register structure. More... | |
| #define | PC ((GPIO_T *) GPIOC_BASE) |
| Pointer to GPIO port C register structure. More... | |
| #define | PD ((GPIO_T *) GPIOD_BASE) |
| Pointer to GPIO port D register structure. More... | |
| #define | PE ((GPIO_T *) GPIOE_BASE) |
| Pointer to GPIO port E register structure. More... | |
| #define | PF ((GPIO_T *) GPIOF_BASE) |
| Pointer to GPIO port F register structure. More... | |
| #define | GPIO ((GP_DB_T *) GPIODBNCE_BASE) |
| Pointer to GPIO debounce register structure. More... | |
| #define | PDMA1 ((PDMA_CH_T *) PDMA1_BASE) |
| Pointer to PDMA1 register structure. More... | |
| #define | PDMA2 ((PDMA_CH_T *) PDMA2_BASE) |
| Pointer to PDMA2 register structure. More... | |
| #define | PDMA3 ((PDMA_CH_T *) PDMA3_BASE) |
| Pointer to PDMA3 register structure. More... | |
| #define | PDMA4 ((PDMA_CH_T *) PDMA4_BASE) |
| Pointer to PDMA4 register structure. More... | |
| #define | PDMACRC ((DMA_CRC_T *) PDMACRC_BASE) |
| Pointer to PDMA CRC register structure. More... | |
| #define | PDMAGCR ((DMA_GCR_T *) PDMAGCR_BASE) |
| Pointer to PDMA global control register structure. More... | |
| #define | FMC ((FMC_T *) FMC_BASE) |
| Pointer to FMC register structure. More... | |
The Declaration of NANO103 Series Peripheral
| #define GPIO ((GP_DB_T *) GPIODBNCE_BASE) |
| #define LCD ((LCD_T *) LCD_BASE) |
| #define PA ((GPIO_T *) GPIOA_BASE) |
| #define PB ((GPIO_T *) GPIOB_BASE) |
| #define PC ((GPIO_T *) GPIOC_BASE) |
| #define PD ((GPIO_T *) GPIOD_BASE) |
| #define PDMA1 ((PDMA_CH_T *) PDMA1_BASE) |
| #define PDMA2 ((PDMA_CH_T *) PDMA2_BASE) |
| #define PDMA3 ((PDMA_CH_T *) PDMA3_BASE) |
| #define PDMA4 ((PDMA_CH_T *) PDMA4_BASE) |
| #define PDMACRC ((DMA_CRC_T *) PDMACRC_BASE) |
| #define PDMAGCR ((DMA_GCR_T *) PDMAGCR_BASE) |
| #define PE ((GPIO_T *) GPIOE_BASE) |
| #define PF ((GPIO_T *) GPIOF_BASE) |
| #define TIMER0 ((TIMER_T *) TIMER0_BASE) |
| #define TIMER1 ((TIMER_T *) TIMER1_BASE) |
| #define TIMER2 ((TIMER_T *) TIMER2_BASE) |
| #define TIMER3 ((TIMER_T *) TIMER3_BASE) |
| #define UART0 ((UART_T *) UART0_BASE) |
| #define UART1 ((UART_T *) UART1_BASE) |