SOUND_ST_PLAY 24 sound.c ((x) == SOUND_ST_PLAY || ((x) == SOUND_ST_REVERSE)) SOUND_ST_PLAY 161 sound.c case SOUND_ST_PLAY: SOUND_ST_PLAY 205 sound.c case SOUND_ST_PLAY: SOUND_ST_PLAY 229 sound.c if (!state_mtx_[current_state_][SOUND_ST_PLAY]) return _FALSE; SOUND_ST_PLAY 232 sound.c current_state_ = SOUND_ST_PLAY; SOUND_ST_PLAY 348 sound.c case SOUND_ST_PLAY:


Apple pulls down 181 vaping-related apps from the App Store: Report
The move comes after CDC reported at least 42 people dying from lung illness related to vaping
by ANIApple is reportedly removing vaping-related apps from its official App Store amid growing health concerns over e-cigarettes.
According to a report on Axios, the iPhone maker is planning to remove all 181 vaping-related apps. The move comes after CDC reported at least 42 people dying from lung illness related to vaping.
While there had been no direct sales of vaping products from the Apple App Store, companion apps, which allow people to control the temperature and lighting of their vape pens, had been available. Apple stopped accepting new apps since June.


--- layout: docpage title: "Documentation" is_homepage: false is_sphinx_doc: true doc-parent: "The Cassandra Query Language (CQL)" doc-title: "Data Definition" doc-header-links: ' ' doc-search-path: "../search.html" extra-footer: ' ' ---
CQL stores data in tables, whose schema defines the layout of said data in the table, and those tables are grouped in keyspaces. A keyspace defines a number of options that applies to all the tables it contains, most prominently of which is the replication strategy used by the keyspace. It is generally encouraged to use one keyspace by application, and thus many cluster may define only one keyspace.
This section describes the statements used to create, modify, and remove those keyspace and tables.
The names of the keyspaces and tables are defined by the following grammar:
keyspace_name ::=name
table_name ::= [keyspace_name
'.' ]name
name ::=unquoted_name
|quoted_name
unquoted_name ::= re('[a-zA-Z_0-9]{1, 48}') quoted_name ::= '"'unquoted_name
'"'
Both keyspace and table name should be comprised of only alphanumeric characters, cannot be empty and are limited in
size to 48 characters (that limit exists mostly to avoid filenames (which may include the keyspace and table name) to go
over the limits of certain file systems). By default, keyspace and table names are case insensitive (myTable
is
equivalent to mytable
) but case sensitivity can be forced by using double-quotes ("myTable"
is different from
mytable
).
Further, a table is always part of a keyspace and a table name can be provided fully-qualified by the keyspace it is part of. If is is not fully-qualified, the table is assumed to be in the current keyspace (see USE statement).
Further, the valid names for columns is simply defined as:
column_name ::= identifier
We also define the notion of statement options for use in the following section:
options ::=option
( ANDoption
)* option ::=identifier
'=' (identifier
|constant
|map_literal
)
A keyspace is created using a CREATE KEYSPACE
statement:
create_keyspace_statement ::= CREATE KEYSPACE [ IF NOT EXISTS ]keyspace_name
WITHoptions
For instance:
CREATE KEYSPACE Excelsior
WITH replication = {'class': 'SimpleStrategy', 'replication_factor' : 3};
CREATE KEYSPACE Excalibur
WITH replication = {'class': 'NetworkTopologyStrategy', 'DC1' : 1, 'DC2' : 3}
AND durable_writes = false;
The supported options
are:
| name | kind | mandatory | default | description |
|---|---|---|---|---|
replication |
map | yes | The replication strategy and options to use for the keyspace (see details below). | |
durable_writes |
simple | no | true | Whether to use the commit log for updates on this keyspace (disable this option at your own risk!). |
The replication
property is mandatory and must at least contains the 'class'
sub-option which defines the
replication strategy class to use. The rest of the sub-options depends on what replication
strategy is used. By default, Cassandra support the following 'class'
:
'SimpleStrategy'
: A simple strategy that defines a replication factor for the whole cluster. The only sub-options
supported is 'replication_factor'
to define that replication factor and is mandatory.'NetworkTopologyStrategy'
: A replication strategy that allows to set the replication factor independently for
each data-center. The rest of the sub-options are key-value pairs where a key is a data-center name and its value is
the associated replication factor.Attempting to create a keyspace that already exists will return an error unless the IF NOT EXISTS
option is used. If
it is used, the statement will be a no-op if the keyspace already exists.
The USE
statement allows to change the current keyspace (for the connection on which it is executed). A number
of objects in CQL are bound to a keyspace (tables, user-defined types, functions, …) and the current keyspace is the
default keyspace used when those objects are referred without a fully-qualified name (that is, without being prefixed a
keyspace name). A USE
statement simply takes the keyspace to use as current as argument:
use_statement ::= USE keyspace_name
An ALTER KEYSPACE
statement allows to modify the options of a keyspace:
alter_keyspace_statement ::= ALTER KEYSPACEkeyspace_name
WITHoptions
For instance:
ALTER KEYSPACE Excelsior
WITH replication = {'class': 'SimpleStrategy', 'replication_factor' : 4};
The supported options are the same than for creating a keyspace.
Dropping a keyspace can be done using the DROP KEYSPACE
statement:
drop_keyspace_statement ::= DROP KEYSPACE [ IF EXISTS ] keyspace_name
For instance:
DROP KEYSPACE Excelsior;
Dropping a keyspace results in the immediate, irreversible removal of that keyspace, including all the tables, UTD and functions in it, and all the data contained in those tables.
If the keyspace does not exists, the statement will return an error, unless IF EXISTS
is used in which case the
operation is a no-op.
Creating a new table uses the CREATE TABLE
statement:
create_table_statement ::= CREATE TABLE [ IF NOT EXISTS ]table_name
'('column_definition
( ','column_definition
)* [ ',' PRIMARY KEY '('primary_key
')' ] ')' [ WITHtable_options
] column_definition ::=column_name
cql_type
[ STATIC ] [ PRIMARY KEY] primary_key ::=partition_key
[ ','clustering_columns
] partition_key ::=column_name
| '('column_name
( ','column_name
)* ')' clustering_columns ::=column_name
( ','column_name
)* table_options ::= COMPACT STORAGE [ ANDtable_options
] | CLUSTERING ORDER BY '('clustering_order
')' [ ANDtable_options
] |options
clustering_order ::=column_name
(ASC | DESC) ( ','column_name
(ASC | DESC) )*
For instance:
CREATE TABLE monkeySpecies (
species text PRIMARY KEY,
common_name text,
population varint,
average_size int
) WITH comment='Important biological records'
AND read_repair_chance = 1.0;
CREATE TABLE timeline (
userid uuid,
posted_month int,
posted_time uuid,
body text,
posted_by text,
PRIMARY KEY (userid, posted_month, posted_time)
) WITH compaction = { 'class' : 'LeveledCompactionStrategy' };
CREATE TABLE loads (
machine inet,
cpu int,
mtime timeuuid,
load float,
PRIMARY KEY ((machine, cpu), mtime)
) WITH CLUSTERING ORDER BY (mtime DESC);
A CQL table has a name and is composed of a set of rows. Creating a table amounts to defining which columns the rows will be composed, which of those columns compose the primary key, as well as optional options for the table.
Attempting to create an already existing table will return an error unless the IF NOT EXISTS
directive is used. If
it is used, the statement will be a no-op if the table already exists.
Every rows in a CQL table has a set of predefined columns defined at the time of the table creation (or added later using an alter statement).
A column_definition
is primarily comprised of the name of the column defined and it’s type,
which restrict which values are accepted for that column. Additionally, a column definition can have the following
modifiers:
STATIC
PRIMARY KEY
Some columns can be declared as STATIC
in a table definition. A column that is static will be “shared” by all the
rows belonging to the same partition (having the same partition key). For instance:
CREATE TABLE t (
pk int,
t int,
v text,
s text static,
PRIMARY KEY (pk, t)
);
INSERT INTO t (pk, t, v, s) VALUES (0, 0, 'val0', 'static0');
INSERT INTO t (pk, t, v, s) VALUES (0, 1, 'val1', 'static1');
SELECT * FROM t;
pk | t | v | s
----+---+--------+-----------
0 | 0 | 'val0' | 'static1'
0 | 1 | 'val1' | 'static1'
As can be seen, the s
value is the same (static1
) for both of the row in the partition (the partition key in
that example being pk
, both rows are in that same partition): the 2nd insertion has overridden the value for s
.
The use of static columns as the following restrictions:
COMPACT STORAGE
option (see below) cannot use them.PRIMARY KEY
columns can be static.Within a table, a row is uniquely identified by its PRIMARY KEY
, and hence all table must define a PRIMARY KEY
(and only one). A PRIMARY KEY
definition is composed of one or more of the columns defined in the table.
Syntactically, the primary key is defined the keywords PRIMARY KEY
followed by comma-separated list of the column
names composing it within parenthesis, but if the primary key has only one column, one can alternatively follow that
column definition by the PRIMARY KEY
keywords. The order of the columns in the primary key definition matter.
A CQL primary key is composed of 2 parts:
the partition key part. It is the first component of the primary key definition. It can be a single column or, using additional parenthesis, can be multiple columns. A table always have at least a partition key, the smallest possible table definition is:
CREATE TABLE t (k text PRIMARY KEY);
the clustering columns. Those are the columns after the first component of the primary key definition, and the order of those columns define the clustering order.
Some example of primary key definition are:
PRIMARY KEY (a)
: a
is the partition key and there is no clustering columns.PRIMARY KEY (a, b, c)
: a
is the partition key and b
and c
are the clustering columns.PRIMARY KEY ((a, b), c)
: a
and b
compose the partition key (this is often called a composite partition
key) and c
is the clustering column.Within a table, CQL defines the notion of a partition. A partition is simply the set of rows that share the same value for their partition key. Note that if the partition key is composed of multiple columns, then rows belong to the same partition only they have the same values for all those partition key column. So for instance, given the following table definition and content:
CREATE TABLE t (
a int,
b int,
c int,
d int,
PRIMARY KEY ((a, b), c, d)
);
SELECT * FROM t;
a | b | c | d
---+---+---+---
0 | 0 | 0 | 0 // row 1
0 | 0 | 1 | 1 // row 2
0 | 1 | 2 | 2 // row 3
0 | 1 | 3 | 3 // row 4
1 | 1 | 4 | 4 // row 5
row 1
and row 2
are in the same partition, row 3
and row 4
are also in the same partition (but a
different one) and row 5
is in yet another partition.
Note that a table always has a partition key, and that if the table has no clustering columns, then every partition of that table is only comprised of a single row (since the primary key uniquely identifies rows and the primary key is equal to the partition key if there is no clustering columns).
The most important property of partition is that all the rows belonging to the same partition are guarantee to be stored on the same set of replica nodes. In other words, the partition key of a table defines which of the rows will be localized together in the Cluster, and it is thus important to choose your partition key wisely so that rows that needs to be fetch together are in the same partition (so that querying those rows together require contacting a minimum of nodes).
Please note however that there is a flip-side to this guarantee: as all rows sharing a partition key are guaranteed to be stored on the same set of replica node, a partition key that groups too much data can create a hotspot.
Another useful property of a partition is that when writing data, all the updates belonging to a single partition are done atomically and in isolation, which is not the case across partitions.
The proper choice of the partition key and clustering columns for a table is probably one of the most important aspect of data modeling in Cassandra, and it largely impact which queries can be performed, and how efficiently they are.
The clustering columns of a table defines the clustering order for the partition of that table. For a given partition, all the rows are physically ordered inside Cassandra by that clustering order. For instance, given:
CREATE TABLE t (
a int,
b int,
c int,
PRIMARY KEY (a, c, d)
);
SELECT * FROM t;
a | b | c
---+---+---
0 | 0 | 4 // row 1
0 | 1 | 9 // row 2
0 | 2 | 2 // row 3
0 | 3 | 3 // row 4
then the rows (which all belong to the same partition) are all stored internally in the order of the values of their
b
column (the order they are displayed above). So where the partition key of the table allows to group rows on the
same replica set, the clustering columns controls how those rows are stored on the replica. That sorting allows the
retrieval of a range of rows within a partition (for instance, in the example above, SELECT * FROM t WHERE a = 0 AND b
> 1 and b <= 3
) to be very efficient.
A CQL table has a number of options that can be set at creation (and, for most of them, altered later). These options are specified after the WITH
keyword.
Amongst those options, two important ones cannot be changed after creation and influence which queries can be done
against the table: the COMPACT STORAGE
option and the CLUSTERING ORDER
option. Those, as well as the other
options of a table are described in the following sections.
Warning
Since Cassandra 3.0, compact tables have the exact same layout internally than non compact ones (for the
same schema obviously), and declaring a table compact only creates artificial limitations on the table definition
and usage that are necessary to ensure backward compatibility with the deprecated Thrift API. And as COMPACT
STORAGE
cannot, as of Cassandra 3.11.6, be removed, it is strongly discouraged to create new table with the
COMPACT STORAGE
option.
A compact table is one defined with the COMPACT STORAGE
option. This option is mainly targeted towards backward
compatibility for definitions created before CQL version 3 (see www.datastax.com/dev/blog/thrift-to-cql3 for more details) and shouldn’t be used for new tables. Declaring a
table with this option creates limitations for the table which are largely arbitrary but necessary for backward
compatibility with the (deprecated) Thrift API. Amongst those limitation:
The clustering order of a table is defined by the clustering columns of that table. By
default, that ordering is based on natural order of those clustering order, but the CLUSTERING ORDER
allows to
change that clustering order to use the reverse natural order for some (potentially all) of the columns.
The CLUSTERING ORDER
option takes the comma-separated list of the clustering column, each with a ASC
(for
ascendant, e.g. the natural order) or DESC
(for descendant, e.g. the reverse natural order). Note in particular
that the default (if the CLUSTERING ORDER
option is not used) is strictly equivalent to using the option with all
clustering columns using the ASC
modifier.
Note that this option is basically a hint for the storage engine to change the order in which it stores the row but it has 3 visible consequences:
ORDER BY
clause are allowed for selects on that table. You can onlya
and b
and you defined WITH CLUSTERING ORDER (a DESC, b ASC)
, then in queries you will be allowed to use
ORDER BY (a DESC, b ASC)
and (reverse clustering order) ORDER BY (a ASC, b DESC)
but not ORDER BY (a
ASC, b ASC)
(nor ORDER BY (a DESC, b DESC)
).ORDER BY
is provided). Results are always returnedTodo
review (misses cdc if nothing else) and link to proper categories when appropriate (compaction for instance)
A table supports the following options:
| option | kind | default | description |
|---|---|---|---|
comment |
simple | none | A free-form, human-readable comment. |
read_repair_chance |
simple | 0.1 | The probability with which to query extra nodes (e.g. more nodes than required by the consistency level) for the purpose of read repairs. |
dclocal_read_repair_chance |
simple | 0 | The probability with which to query extra nodes (e.g. more nodes than required by the consistency level) belonging to the same data center than the read coordinator for the purpose of read repairs. |
gc_grace_seconds |
simple | 864000 | Time to wait before garbage collecting tombstones (deletion markers). |
bloom_filter_fp_chance |
simple | 0.00075 | The target probability of false positive of the sstable bloom filters. Said bloom filters will be sized to provide the provided probability (thus lowering this value impact the size of bloom filters in-memory and on-disk) |
default_time_to_live |
simple | 0 | The default expiration time (“TTL”) in seconds for a table. |
compaction |
map | see below | Compaction options. |
compression |
map | see below | Compression options. |
caching |
map | see below | Caching options. |
The compaction
options must at least define the 'class'
sub-option, that defines the compaction strategy class
to use. The default supported class are 'SizeTieredCompactionStrategy'
(STCS),
'LeveledCompactionStrategy'
(LCS) and 'TimeWindowCompactionStrategy'
(TWCS) (the
'DateTieredCompactionStrategy'
is also supported but is deprecated and 'TimeWindowCompactionStrategy'
should be
preferred instead). Custom strategy can be provided by specifying the full class name as a string constant.
All default strategies support a number of common options, as well as options specific to the strategy chosen (see the section corresponding to your strategy for details: STCS, LCS and TWCS).
The compression
options define if and how the sstables of the table are compressed. The following sub-options are
available:
| Option | Default | Description |
|---|---|---|
class |
LZ4Compressor | The compression algorithm to use. Default compressor are: LZ4Compressor,
SnappyCompressor and DeflateCompressor. Use 'enabled' : false to disable
compression. Custom compressor can be provided by specifying the full class
name as a “string constant”:#constants. |
enabled |
true | Enable/disable sstable compression. |
chunk_length_in_kb |
64 | On disk SSTables are compressed by block (to allow random reads). This defines the size (in KB) of said block. Bigger values may improve the compression rate, but increases the minimum size of data to be read from disk for a read |
crc_check_chance |
1.0 | When compression is enabled, each compressed block includes a checksum of that block for the purpose of detecting disk bitrot and avoiding the propagation of corruption to other replica. This option defines the probability with which those checksums are checked during read. By default they are always checked. Set to 0 to disable checksum checking and to 0.5 for instance to check them every other read | |
For instance, to create a table with LZ4Compressor and a chunk_lenth_in_kb of 4KB:
CREATE TABLE simple (
id int,
key text,
value text,
PRIMARY KEY (key, value)
) with compression = {'class': 'LZ4Compressor', 'chunk_length_in_kb': 4};
The caching
options allows to configure both the key cache and the row cache for the table. The following
sub-options are available:
| Option | Default | Description |
|---|---|---|
keys |
ALL | Whether to cache keys (“key cache”) for this table. Valid values are: ALL and
NONE . |
rows_per_partition |
NONE | The amount of rows to cache per partition (“row cache”). If an integer n is
specified, the first n queried rows of a partition will be cached. Other
possible options are ALL , to cache all rows of a queried partition, or NONE
to disable row caching. |
For instance, to create a table with both a key cache and 10 rows per partition:
CREATE TABLE simple (
id int,
key text,
value text,
PRIMARY KEY (key, value)
) WITH caching = {'keys': 'ALL', 'rows_per_partition': 10};
ALTER TABLE
below) is a constant time operation. There is thus no need to try to
anticipate future usage when creating a table.Altering an existing table uses the ALTER TABLE
statement:
alter_table_statement ::= ALTER TABLEtable_name
alter_table_instruction
alter_table_instruction ::= ADDcolumn_name
cql_type
( ','column_name
cql_type
)* | DROPcolumn_name
(column_name
)* | WITHoptions
For instance:
ALTER TABLE addamsFamily ADD gravesite varchar;
ALTER TABLE addamsFamily
WITH comment = 'A most excellent and useful table'
AND read_repair_chance = 0.2;
The ALTER TABLE
statement can:
ADD
instruction). Note that the primary key of a table cannot be
changed and thus newly added column will, by extension, never be part of the primary key. Also note that compact
tables have restrictions regarding column addition. Note that this is constant (in the amount of
data the cluster contains) time operation.WITH
instruction). The supported options are the same that when creating a table (outside of COMPACT STORAGE
and CLUSTERING
ORDER
that cannot be changed after creation). Note that setting any compaction
sub-options has the effect of
erasing all previous compaction
options, so you need to re-specify all the sub-options if you want to keep them.
The same note applies to the set of compression
sub-options.Warning
Dropping a column assumes that the timestamps used for the value of this column are “real” timestamp in microseconds. Using “real” timestamps in microseconds is the default is and is strongly recommended but as Cassandra allows the client to provide any timestamp on any table it is theoretically possible to use another convention. Please be aware that if you do so, dropping a column will not work correctly.
Warning
Once a column is dropped, it is allowed to re-add a column with the same name than the dropped one unless the type of the dropped column was a (non-frozen) column (due to an internal technical limitation).
Dropping a table uses the DROP TABLE
statement:
drop_table_statement ::= DROP TABLE [ IF EXISTS ] table_name
Dropping a table results in the immediate, irreversible removal of the table, including all data it contains.
If the table does not exist, the statement will return an error, unless IF EXISTS
is used in which case the
operation is a no-op.
A table can be truncated using the TRUNCATE
statement:
truncate_statement ::= TRUNCATE [ TABLE ] table_name
Note that TRUNCATE TABLE foo
is allowed for consistency with other DDL statements but tables are the only object
that can be truncated currently and so the TABLE
keyword can be omitted.
Truncating a table permanently removes all existing data from the table, but without removing the table itself.


Rain washes out Durban Heat v Paarl Rocks clash
Cape Town - Heavy rain in KwaZulu-Natal over the past week meant that the Mzansi Super League (MSL) clash between the Durban Heat and Paarl Rocks had to be abandoned well before the scheduled start at Kingsmead on Friday.
Storm warnings had been issued in the city on Wednesday and Thursday, with persistent rain falling throughout and including during the build-up to the clash.
The seasonal rain also claimed victory in the Heat’s opening game against Tshwane Spartans last Saturday as the outfield at the venue could not continue absorbing the high volume of water that continued to pour down.
It left the officials with little choice but to abandon play an hour before the scheduled start.
The result means the Durban franchise now have four points from their two wash-outs, level on points with the Spartans, whose first two matches were also no results.
The Rocks, meanwhile, moved up to six points and in second place behind Cape Town Blitz.
The Heat next face the Blitz in the early game in Durban on Sunday, while Paarl are at home to the Spartans later on the same day.


{% extends "base_generic.html" %} {% block content %}
Peter Lifland, bass, has sung with several high-caliber choirs over the past decade, including the Tudor Choir, the Byrd Ensemble, Seattle Pro Musica, and the Harvard Glee Club. Recently transplanted from Seattle to New Haven, Peter is currently singing with the Yale Camerata, where he serves as a TB vocal coach, and for Yale graduate conducting courses including the Yale Repertory Chorus and Yale Recital Chorus.
In Seattle, Peter sang with Seattle Pro Musica from 2010 to 2018 and served as its bass section leader for the 2017-2018 season. Additionally, Peter sang for a number of professional chamber choirs, including the Tudor Choir, the Byrd Ensemble, Solaris (UW), and Vox16. Before moving to Seattle, Peter sang in the Harvard Glee Club and Harvard-Radcliffe Collegium Musicum and conducted the a cappella group Harvard Glee Club Lite.
Throughout his singing career, Peter has been honored to work with world-class conductors, including Anne Tomlinson, Jameson Marvin, Karen P Thomas, Giselle Wyers, and most recently Maggie Brooks. Peter's notable recent discography includes cds with Vox16 (Locally Sourced and What Cheer) and Seattle Pro Musica (Northern Lights and Celtic Christmas).
Last and certainly least, amusing highlights of Peter's singing career include winning a Grammy for "Best New Age Album" in 2015 when he sang bass vocals for a single track and singing in the choirs for the traveling tours of Josh Groban and Andrea Bocelli when they visited Seattle.
When he is not singing, Peter spends time with his wife Brooke, works as a data analyst for Microsoft, and maintains a moderate board game collection.


Version 0.1.6
- Fixing errors on the
train_model
function:
- Error with the forecast output
- Error with the nnetar model
- Replacing the
xts::indexClass
function with xts::tclass
function
- Removing the
ts_backtesting
function, which was replaced by the train_model
function
- Removing the
ts_acf
and ts_pacf
functions, the ts_cor
will replace them
- Removing the
bsts
package from the package dependency
Version 0.1.5 is now available on CRAN
Package license
- Changing the package license from GPL-3 to MIT
New functions
*train_model - a flexible framework for training, testing, evaluating, and forecasting models. This function provides the ability to run multiple models with backtesting or single training/testing partitions
- plot_model - animation the performance of the train_model output on the backtesting partitions
- plot_error - plotting the error distribution of the train_model output
- ts_cor - for acf and pacf plots with seasonal lags
- arima_diag - a diagnostic plot for identify the AR, MA and differencing components of the ARIMA model
Deprecated functions
- ts_backtesting - will be replaced by the train_model function
- ts_acf / ts_pacf functions - will be replaced by the ts_cor function
Fix errors
- ts_seasonal - aligning the box plot color
- ts_plot - setting the dash and marker mode for multiple time series
Version 0.1.4 is now available on CRAN
New functions
- forecast_sim - creating different forecast paths for forecast objects (when applicable), by utilizing the underline model distribution with the simulate function
- ts_grid - tuning time series models with grid search approach using backtesting method. Currently, support only the Holt-Winters model
- plot_grid - plotting the output of the ts_grid function
Fix errors
- ts_plot, test_forecast - avoid default setting of the plot_ly function, and set explicitly the plot setting (e.g., color, line mode, etc.). This allows using the function with the plotly subplot function
- ts_seasonal - define the order of the frequency units of the box plot option plot_forecast - fixing a gap between the forecast values and the time (x-axis) values
Version 0.1.3 is now available on CRAN
- ts_to_prophet function for converting ts objects (“ts”, “zoo” and “xts” class) to prophet object
- ccf_plot function for plotting corss correlation lags between two time series
- Fixed error in the ts_backtesting function - supprting xreg option
Version 0.1.2 is now available on CRAN
New functions:
- ts_backtesting - a horce race of multiple forecasting models with backtesting
- ts_quantile - time series quantile plot for time series data
- ts_seasonal - supports multiple inputs and new color palattes
Version 0.1.1 is now available on CRAN
What’s new:
- New options for the seasonality plot
- Heatmap and surface plots
- Polar plot
- Converting function from xts and zoo to ts class
- Spliting function for ts object for training and testing partitions
Version 0.1.0 is now available on CRAN
- Function for plotting univariate and multivariate time series data
- Evaluation plot for the testing set (hold-out data)
- Interactive seasonality plot
- Functions for interactive plot for the ACF and PACF


Check given number is prime number with Test Driven Development in R language.
testthat
visit this referenceMake package with name (isPrime.TDD)
Make isPrime.R file
Make test
usethis::use_test('isPrime')
first# test-isPrime.R
test_that('use', {
expect_equal(isPrime(2), TRUE) # 2 is prime number
expect_equal(isPrime(4), FALSE) # 4 isnot prime number
})
Run test (windows : ctrl
+shift
+t
), and Fail it.
Since there’s no function, we fix it until pass test with minimal efforts 1) make isPrime
function 2) make isPrime(2)
returns TRUE
3) make isPrimie(4)
returns FALSE
# isPrime.R
isPrime = function(x){
if(x==2){return(TRUE)}
for(i in 2:(x-1)){
if(x%%i==0)return(FALSE)
}
return(TRUE)
}
Pass on test
i’m still confused in refactoring code part if you have advice, please let me know<EMAIL_ADDRESS>Make another test with check format (or error)
# test-isPrime.R
test_that('use',{
expect_equal(isPrime(2), TRUE)
expect_equal(isPrime(4), FALSE)
})
test_that('abuse', {
expect_type(isPrime(2), 'logical')
expect_error(isPrime('Hello World'),'x must be numeric value')
})
Run test (windows : ctrl
+shift
+t
), and Fail it.
Fix it until pass test with minimal efforts 1) check isPrime
function returns logical
that is either TRUE
or FALSE
2) make error message with x must be numeric value
when x
is not numeric value.
# isPrime.R
isPrime = function(x){
if(!is.numeric(x)){
stop('x must be numeric value', call. = FALSE)
}
if(x==2){return(TRUE)}
for(i in 2:(x-1)){
if(x%%i==0)return(FALSE)
}
return(TRUE)
}
Pass on test
I think more improvement can not possible, so finish this and build package. (windows : ctrl
+ shift
+ b
)
Copyright © 2019 Jinhwan Kim This project is MIT licensed
This README was generated with 💕 by shinyReadme


Common utils module¶
Common functions and constants used throughout the project.
utils.py¶
Common functions used in both server and client apps.
decorators.py¶
Logging decorators used in the project.
-
utils.decorators.
function_log
(func)¶ The decorator function
descriptors.py¶
errors.py¶
-
class
utils.errors.
IncorrectDataReceivedError
¶ Exception raised if the data received was incorrect.
-
__str__
()¶ Representation for print.
-
__weakref__
¶ list of weak references to the object (if defined)
-
-
class
utils.errors.
NotADictionaryError
¶ Exception raised if the data received was not a dictionary, when it was supposed to be a dictionary.
-
__str__
()¶ Representation for print.
-
__weakref__
¶ list of weak references to the object (if defined)
-
-
class
utils.errors.
ServerError
(error_message)¶ Exception raised when the server encounters and error.
-
__init__
(error_message)¶ There can be a custom error text in this exception.
- Parameters
error_message – custom message
-
__str__
()¶ Representation for print.
-
__weakref__
¶ list of weak references to the object (if defined)
-


Flip Stitch Pillow
Tired of dull pillows? We specialize in custom decorative throw pillows. All pillows are handmade in our artisan workshop out of Pittsburgh PA.
Couch Pillow
$25
Shape
Quantity
Bed Pillow
$18
Shape
Quantity
Round Pillow
$15
Shape
Quantity
Floor Pouf Pillow
$30
Shape
Quantity


Part of the seventh and final generation of a carefully designed pedigree, Nortrom was bred by the ancient order of the Aeol Drias to be the greatest magic user the world had ever seen. He was the prophesied one, the culmination of two-hundred years of careful pairings, a war-mage who would bring glory to the order, and destruction to their sworn enemies, The Knights of the Fold.
Raised with other young mages in a hidden cantonment among the hills of the Hazhadal barrens, the order's preceptors waited for Nortrom's abilities to manifest. While the other students honed their talents with fire, or ice, or incantatory spells, Nortrom sat silent and talentless, unable to cast so much as a hex. As the day of final testing approached, he still hadn't found his magic. In disgust, the preceptors berated him, while the children laughed. "You are no mage," the head of the order declared. Still, Nortrom did not slink away. He entered the day of testing and faced down the young mages who had mocked him. And then his preceptors learned a valuable lesson: a lack of magic can be the greatest magic of all. Nortrom silenced the young mages one by one and defeated them in single combat, until he alone stood as champion of the Aeol Drias, in fulfillment of the prophecy.


Immigration in Europe
Home
Visualizations
Story
Additional Information
Immigration in Europe.
A visualization.
Jasper Naberman
University of Amsterdam
#: 10787224
Minor Programming
Programming Project


Install the extension - a button
will be added to the right of the address bar
Click on the extension button to enable it - a green dot will be added to let you know it's ready
Start recording
Pause recording
Resume recording
Stop recording
Download results


Directory doc/source/en/
«
Development Statistics for /trunk
Total Files:
0
Deleted Files:
0
Lines of Code:
0
[root]
/
doc
/
source
/
en
TortoiseSVN
(0 files, 0 lines)
tsvn_dug
(1 files, 471 lines)
Generated by
StatSVN
0.7.0


{% extends "layout.html" %} {% block head %} {% endblock %} {% block body %}
| Name | Phone | Location | Max Guests | |
|---|---|---|---|---|
| {{host.name}} | {{host.email}} | {{host.phone}} | {{host.location}} | {{host.maxguests}} |
| Name | Phone | Location | Number of Guests | |
|---|---|---|---|---|
| {{guest.name}} | {{guest.email}} | {{guest.phone}} | {{guest.location}} | {{guest.maxguests}} |


California Residents: One or more of the items in your order may be subject to California's Proposition 65 law.
This email was sent from a notification-only address that cannot accept incoming email. Please do not reply to this message.


This example demonstrates the following behaviours using three objects (resizable, rubber-handle, movable):
- All objects that support drag produce "click" if you release without dragging. (BUG: also when you did drag)
- One object is a normal draggable (default behaviour), the others resize & rubber-band (custom behaviour).
- The top-left rectangle has a large "reluctance", meaning the resize doesn't start after 3 pixels.
- Releasing a drag over other objects alerts the name of the object dropped on (hit testing).
- The bottom right shape has a transparent fill, so you can drag and drop in there.
- Dragging supports cancellation without dropping by hitting the "Escape" key.
- the canvas resizes to fill the browser window.
- shift-key dragging the rubber-handle moves it, instead of rubber-banding.
- meta-key drag on the rubber-handle is disabled, but if you lift the metakey while still dragging, the drag starts.
- the resizable rectangle has a minimum size enforced in the code.


Prithwiraj Samanta,a coder with basic
knowledge of data science,deep learning
compititive coding and website building.
TYPE |
SKILL |
EXPERIENCE |
|---|---|---|
Language |
Java |
6 years |
Language |
Python |
4 months |
Language |
C/C++ |
5 months |
Language |
Javascript |
1 month |
Language |
HTML/CSS |
15 days |
Language |
PHP |
10 days |
Libraries Known
Numpy
Sci-learn
Matplotlib
jQuery
Node.js
Keras


Melissa Viviane Jefferson:
- Born: April 27, 1988 (age 31 years), Detroit, Michigan
- Height: 5′ 10″
- Instrument: Flute
Lizzo is an American singer, songwriter, rapper and actress.
Fun Facts
- Attended University of Houston where she was in the marching band and studied classical flute performance.
- Collaborated with Prince on his 2014 album
- Was a Guest Judge on RuPaul's Drag Race in 2018
More Photos


An integration wrapper is provided in this projet. Copy the Html2PDFService class into your project and set these 2 properties to start creating pdfs.
Contain a list of server URLs, the code will try then is cascade in case of failure
The read timeout for the server request. The value is in ms and need to be enought for your larger PDFs


This package has been developed to provide a standard "Umbraco" interface to manage tags within your site.
NB: Create functionality is not included in this package - all tags are created as the property on the content or media item.


$for order in date_profile['influenced_orders']['closed']:
$ symbol = order['symbol']
$ buy_time = scrub.human_date(order['buy_time'])
$ sell_time = scrub.human_date(order['sell_time'])
$ sell_price = order['sell_price']
$ buy_price = order['buy_price']
$ difference = order['difference']
$ percent_change = order['percent_change']
| $:symbol |
$:buy_time |
$:sell_time |
$:scrub.dollar_value(buy_price) |
$:scrub.dollar_value(sell_price) |
$:scrub.dollar_change(difference) |
$:scrub.percent_change(percent_change) |
$for player in order['liable_players']:
$player.split(":")[1]
|


I am by trade a software developer. I love creating applications and software that truly changes the way people do their everyday lives. Whether it is a web app, a software service, or a mobile application if it optimizes a part of someones day, then I have accomplished what I love to do.
The world of uncertainty, unpredictability, and change is a place I thrive in. I love the area of entrepreneurship, in respects to software and technology. I am always open to and searching for startup endeavors, unprecedented technologies, and searching for that oh so treasure IoT project.
I would also identify as an engineer, the software type. Creating software technologies that help users or even other developers and engineers create even better software is progress I love to be a part of. This includes but is not limited to cloud architecture implementation, database design, and open-sourced community contributions. .
I am currently a lead engineer for the Penn State TLT (Teaching and Learning with Technology) Studio and Chief Executive Officer of Frostware. Previous to that I was an Application Developer promoted to Tech Lead for the United States Intelligence Community. I graduated from Penn State University with a Bachelor's of Science degree in Mathematics and Computational Science, where I met my wonderful wife Shayna Frost. I reside in Foggy Bottom in Washington, D.C. where my wife and I enjoy sports, fitness, music, learning, and the hustle and bustle of the city. My current projects include Penn States Badging initiative, Frostware's Fuelergy Application, as well as a few other startup endeavors. If you'd like to contact me feel free to use the contact form below!


| Package | Description |
|---|---|
| org.mechio.api.motion.blending | |
| org.mechio.api.motion.messaging | |
| org.mechio.api.motion.protocol | |
| org.mechio.api.motion.utils |
| Modifier and Type | Interface and Description |
|---|---|
interface |
Blender<MF extends MotionFrame<PosMap>,FS extends FrameSource<PosMap>,PosMap extends JointPositionMap>
Uses a FrameCombiner to blend move requests, and sends the results to a
BlenderOutput.
|
class |
DefaultBlender<MF extends MotionFrame<PosMap>,FS extends FrameSource<PosMap>,PosMap extends JointPositionMap>
Basic implementation of a Blender.
|
interface |
FrameCombiner<F extends MotionFrame<PosMap>,B extends FrameSource<PosMap>,PosMap extends JointPositionMap>
A FrameCombiner combines movement requests from multiple FrameSources into a
single set of Joint movements.
|
| Modifier and Type | Method and Description |
|---|---|
MotionFrame<PosMap> |
FrameSource.getMovements(long currentTimeUTC,
long moveLengthMilliSec)
Returns the desired Robot movement starting at the given time and lasting
for the given number of milliseconds.
|
| Modifier and Type | Method and Description |
|---|---|
PosMap |
NaiveMotionFrameAverager.combineFrames(long time,
long interval,
PosMap curPos,
Map<? extends MotionFrame<PosMap>,? extends FrameSource<PosMap>> frames)
Averages the goal positions from the MotionFrames into a single
PositionMap.
|
PosMap |
VelocityCombiner.combineFrames(long time,
long interval,
PosMap curPos,
Map<? extends MotionFrame<PosMap>,? extends FrameSource<PosMap>> frames) |
| Modifier and Type | Method and Description |
|---|---|
void |
MotionFrameSender.sendMotionFrame(MotionFrame frame)
Creates MotionFrameEvent from the given MotionFrame and sends it.
|
void |
RemoteRobotClient.sendMovement(MotionFrame frame)
Sends a MotionFrame to move a RemoteRobot.
|
| Modifier and Type | Class and Description |
|---|---|
class |
DefaultMotionFrame<PosMap extends JointPositionMap>
A DefaultMotionFrame describes the start and goal PositionSets for a set of \
Joints over an interval of time.
|
| Modifier and Type | Method and Description |
|---|---|
MotionFrame<Robot.RobotPositionMap> |
MotionFrameEvent.getMotionFrame()
Returns the MotionFrame associated with this MotionFrameEvent.
|
| Modifier and Type | Method and Description |
|---|---|
MotionFrameEvent |
MotionFrameEvent.MotionFrameEventFactory.createMotionFrameEvent(String sourceId,
String destId,
MotionFrame<Robot.RobotPositionMap> motionFrame) |
| Modifier and Type | Method and Description |
|---|---|
MotionFrame |
PositionTargetFrameSource.getMovements(long time,
long interval)
Creates a MotionFrame starting at the Robot's goal positions, and moving
towards the target positions as much as the velocity will allow in the
given time interval.
|
MotionFrame |
RobotMoverFrameSource.getMovements(long currentTimeUTC,
long moveLengthMilliSec) |
Copyright © 2011–2014. All rights reserved.


Make sure to click the Menu in the upper right corner for sub-directories
Common image types- This was fairly common and straightforward. The most important thing is the issues are between file size and photo quality and the balance on the site size and bandwidth issues to consider when picking a file format. What is an API- This was really cool Application Programming Interfaces, are written to provide a set of instructions and standards for using a specific service. They're usually written to make it easier for developers it is cool to see how an api is a symbiotic relationship. It benefits both the large site and the small site. It said to check that you have a good and stable site that you build your api on. HTML5 APIs- The development of HTML5 has been one of the greatest and the most confusing moments in the history of the web. It was made to work around the plugins and limitations to html the WHATWG and the W3C. take a look at some of the APIs that are often associated with HTML5. The Media API includes the video and audio elements and methods for controlling the loading and playback of media. It's related to the Text Track API that's also used to control subtitles and captions of related media. Another integrated API is the drag and drop API. Now this API allows you to make elements draggable within the browser and even contains methods for handling how content from outside the browser interacts with a page when dragged and released. This is extremely helpful for building simple interactions, games or even applications that allow users to upload files by simply dragging and dropping them onto the web browser. Web fonts- For years, the only way to display fonts on your site, was to use the fonts installed on the client machine. It was cool to see that we can now run a web font. So we do not have to rely on a common font type. The biggest issues were the end user license agreements. Eot and WOFF are a way the compress the font size
A good way to start this is with HTML Essential Training with James Williamson.
HTML IS CRITICAL!!!UI and CSS
CSS cascading style sheets a set of rules that dictate size font etc….
Javascript is a big part and you need to be familiar and handles the dom effects.


QuickStart¶
Disclaimer¶
This package helps python interact with the Tradier Platform to execute algorithmic trading strategies. Use at your own discretion, and thoroughly test before using in production.
Getting Started¶
Install the package with pip:
>>> pip install pytradier
The pytradier package uses environment variables to access the Tradier Platform. Once a user has established an account with them access your API tokens and save them to your machine:
>>export TRADIER_SANDBOX_TOKEN=<YOUR_SANDBOX_TOKEN>
>>export LIVE_TRADIER_TOKEN=<YOUR_LIVE_TOKEN>
Users can choose their own environment variable names, but all the modules use the TRADIER_SANDBOX_TOKEN
key by default. To specific your own name just intialize client with token=<YOUR_ENV_NAME>
. To switch
to live mode, also must pass paper=False
.
Account Information¶
Access all account related information using the Account Module:
from PyTradier import Account
account = Account() # for live trading pass in paper=False, token=<YOUR_TOKEN>
All account methods return either a dictionary with information or a list of dictionaries with account information. 3 methods take additional arguments:
# order
specific_order = account.order(orderId) # return the status and info for a specific order
# history
history = account.history(**kwargs)
# gainloss
gainloss = account.gainloss(**kwargs)
Trading¶
Concepts¶
PyTradier imposes structure on the Tradier trading process. Orders are typically instantiated as their specific type within
the REST
object methods. These methods also specify the type of order being placed. The ordering methods take the information
and place a post
request to the Tradier API with the correct ordering parameters. They perform some minimal error checking to
ensure that the order is properly composed (by raising some errors) but are not guaranteed to catch all errors. Any errors that aren’t
caught (from the Tradier API) are recorded in the order response object under the key "error"
.
The instantiated rest object also configures some optional defaults for users. These defaults should be passed as keyword argument
when the rest object is instantiated, as preview=True
, duration="gtc"
, and/or tag=func
. Note the tag keyword should be a function that returns order tags when called.
Setting preview=True
to any order in a group of orders [like in a one_triggers_one_cancels_other()
call] or as the default on the
rest object will instruct the Tradier API to return the order preview object. Users can inspect this object to make sure trades are properly
formatted.
Equity Trading¶
Placing trade orders with PyTradier is intuitive:
from Pytradier.orders import *
from PyTradier import REST
rest = REST() # for live trading pass in paper=False, token=<YOUR_TOKEN>
rest.equity(MarketOrder("AAPL", "buy", 10, duration='gtc'))
# first order is the index order, second and third are ones to be cancelled
# these are fake orders so the may not make any sense
rest.one_triggers_one_cancels_other(
LimitOrder(),
StopOrder(),
StopLimitOrder()
)
Placing an order will return the Tradier API order response object
Options, Combo Orders, and Multileg Trades¶
Interacting with options contracts is also simple with the PyTradier package:
from Pytradier.orders import *
from PyTradier import REST
rest = REST() # for live trading pass in paper=False, token=<YOUR_TOKEN>
rest.option(MarketOrder("AAPL211205C00060000", 'buy_to_open', 1, duration='day')) # number of contracts to purchase
# combo orders are 1 equity leg, and either 1 or 2 option legs for a max of 3 orders
rest.combo_order()
Order Objects¶
Order Response Object¶
Ordering Errors¶
Taking a look at the tradier documentation, you can see that errors can be easily made when making even simple trades. PyTradier simplifies the ordering process
Data¶
Market Data¶
Market Data is easily accessed through the data module.
Fundamental Data¶
Tradier’s fundamental data API is currently in a beta status. This package does support the current version, but per tradier these methods shouldn’t be relied in production


3 Year Accidental Damage Service Included
Touch-enabled
Includes a faster processor, more memory and a larger hard drive for the ultimate computing experience.
Legal disclosures if any including VAT and shipping.
E-Value Code: 0000000
3 Year Accidental Damage Service Included
Touch-enabled
Includes a faster processor, more memory and a larger hard drive for the ultimate computing experience.
Legal disclosures if any including VAT and shipping.
E-Value Code: 0000000
3 Year Accidental Damage Service Included
Touch-enabled
Includes a faster processor, more memory and a larger hard drive for the ultimate computing experience.
Legal disclosures if any including VAT and shipping.
Touch-enabled
Includes a faster processor, more memory and a larger hard drive for the ultimate computing experience.
Legal disclosures if any including VAT and shipping.
E-Value Code: 0000000
3 Year Accidental Damage Service Included
Touch-enabled
Includes a faster processor, more memory and a larger hard drive for the ultimate computing experience.
Legal disclosures if any including VAT and shipping.
Touch-enabled
Includes a faster processor, more memory and a larger hard drive for the ultimate computing experience.
Legal disclosures if any including VAT and shipping.
E-Value Code: 0000000
3 Year Accidental Damage Service Included
Touch-enabled
Includes a faster processor, more memory and a larger hard drive for the ultimate computing experience.
Legal disclosures if any including VAT and shipping.
Touch-enabled
Includes a faster processor, more memory and a larger hard drive for the ultimate computing experience.
Legal disclosures if any including VAT and shipping.
E-Value Code: 0000000


This plan can be customized!
Tell us about your desired changes so we can prepare an estimate for the design service. Click the button to submit your request for pricing, or for assistance.


This event takes (took) place on Sat Jan 16, 4–6pm EST.
There will be a freeplay section (the main event) and a tournament (optional). Competitors in the tournament will also need to participate in the freeplay section, and we will be making important announcements in the Discord server for both freeplay and tournament.


Brescia chief risks sparking racism storm after Balotelli comment
by Ron CarneBrescia president Massimo Cellino has sparked controversy with his latest comments on Mario Balotelli as the racism storm rumbles on at the club.
Balotelli was subjected to vile chants from Verona fans earlier this month, but has shockingly been met with a lack of support from all quarters since the incident.
SEE MORE: Mario Balotelli leaves Brescia training after having a bust up with the manager
That was despite the fact that videos shared on social media offered audible evidence of the abuse towards the Italian international, and it has already led to widespread criticism of the clubs in question and the Italian FA.
As for Balotelli, he was dropped from Brescia’s squad to face Roma this past weekend as coach Fabio Grosso wasn’t happy with his application, but now Cellino has offered a rather questionable retort on the 29-year-old.
“What do you want me to say about him? He’s feeling gloomy, he’s working to clear things up but he’s having difficulty. We cannot think that a player alone will save the squad, that would be wrong for the team,” he is quoted as saying by Football Italia, who add that the term he used to make his point about being ‘gloomy’ was the word for ‘black’, and that has unsurprisingly led to the potential of a fresh racism row.

With what has happened since, and the lack of support mentioned above, it would arguably come as no surprise if his time at Brescia comes to an early end in January, provided that there is still interest in him from elsewhere to give him an opportunity to move on.
Having scored just two goals in seven games so far this season, it’s not the return to Serie A that he would have wanted and it’s a huge shame and point of embarrassment for Italian football that the troubles noted above could lead to him leaving instead of sorting the issues at hand.
Based on the video below though, it sounds as though Cellino was dismissive of the way in which his words were interpreted…


This wiki has searching disabled.
If searching is enabled, you can enter search terms in the search field, as you'd expect. There are a few special things you can do to construct more powerful searches.
- To match a phrase, enclose it in double quotes.
AND
can be used to search for documents containing two expressions.OR
can be used to search for documents containing either one of two expressions.- Parentheses can be used to build up complicated search expressions. For example, "(foo AND bar) OR (me AND you)"
- Prefix a search term with "-" to avoid it from appearing in the results. For example, "-discussion" will omit "discussion".
- To search for a page with a given title, use "title:foo".
- To search for pages that contain a "bar" link, use "link:bar".


BART Heatmap: Passenger Concentration
The below heat map visualizes passenger concentration based on a random two-week period in 2016.
The heat map shows that stations located in San Francisco's Financial District are generally more concentrated than other stations in the BART network.


5 What do you need to know in order to pass?
There is no need to become an R expert for this exam. They will provide you with a lot of code and the challenging part will be in interpreting what it does. You won’t be expected to do complex tasks from scratch. The most programming-intensive part is the data exploration, but this is only the first few questions. Subsequent questions on modeling will ask you to make changes to parameters.
You will be expected to tweak parts and explore what happens. A good attention to detail and a close reading of the R documention will go a long ways. You will spend much more of your time writing in English and explaining what the code is doing than writing it yourself. You will also be graded based on how well you document your code in the .Rmd file.
The June 16 2020 Project Statement has this under “General information for candidates.”
Each task will be graded on the quality of your thought process, added or modified code, and conclusions
At a minimum you must submit your completed report template and an Rmd file that supports your work. Graders expect that your Rmd code can be run from beginning to end. The code snippets provided should either be commented out or adapted for execution. Ensure that it is clear where in the code each of the tasks is addressed.
In other words, whatever results you have in your report will need to be consistent with what the grading team finds when they run your .rmd file.
5.1 Example 1 - Making parameter changes
SOA Exam PA June 16, 2020, Task 8
- (4 points) Perform feature selection with lasso regression.
Run a lasso regression using the code chunk provided. The code will need to be modified to reflect your decision in Task 7 regarding the PCA variable.
You probably read this and asked “what is a lasso regression?” and with good reason - we haven’t yet covered this topic. All that you need to know is highlighted in black: you will need to change the code that they give you, which is below.
You need to choose between using one of two data sets:
- DATA SET A
- DATA SET B
Then ignore everything else!
# Format data as matrices (necessary for glmnet).
# Uncomment two items that reflect your decision from Task 7.
#DATA SET A
lasso.mat.train <- model.matrix(days ~ . - PC1, data.train)
lasso.mat.test <- model.matrix(days ~ . - PC1, data.test)
#DATA SET B
# lasso.mat.train <- model.matrix(days ~ . - num_procs - num_meds - num_ip - num_diags, data.train)
# lasso.mat.test <- model.matrix(days ~ . - num_procs - num_meds - num_ip - num_diags, data.test)
set.seed(789)
lasso.cv <- cv.glmnet(
x = lasso.mat.train,
y = data.train$days,
family = "poisson", # Do not change.
alpha = 1 # alpha = 1 for lasso
)
If you wanted to use data set B, you would just add comments to data set A and uncomment B.
#DATA SET A
# lasso.mat.train <- model.matrix(days ~ . - PC1, data.train)
# lasso.mat.test <- model.matrix(days ~ . - PC1, data.test)
#DATA SET B
lasso.mat.train <- model.matrix(days ~ . - num_procs - num_meds - num_ip - num_diags, data.train)
lasso.mat.test <- model.matrix(days ~ . - num_procs - num_meds - num_ip - num_diags, data.test)
5.2 Example 2 - Data exploration
That last example was easy. They might ask you to do something like the following:
Template code:
# This code takes a continuous variable and creates a binned factor variable.
# The code applies it directly to the capital gain variable as an
# example. right = FALSE means that the left number is included and
# the right number excluded. So, in this case, the first bin runs from 0 to
# 1000 and includes 0 and excludes 1000. Note that the code creates a new
# variable, so the original variable is retained.
df$cap_gain_cut <- cut(df$cap_gain, breaks = c(0, 1000, 5000, Inf), right = FALSE, labels = c("lowcg", "mediumcg", "highcg"))
To answer this question correctly, you would need to
- Understand that the code is taking the capital gains recorded on investments,
cap_gain
, and then creating bins so that the new variable is “lowcg” for values between 0 and 1000, “mediumcp” from 1000 to 5000, and “highcg” for all values above 5000.
- Then you would need to interpret a statistical model
- Finally, use this result to change these cutoff values so that “low cg” is all values less than 5095.5, “medium cg” is all values from 5095.5 to 7055.5, and so forth. You would need to do this for two data sets,
data.train
, anddata.test
.
Solution code:
# This code cuts a continuous variable into buckets.
# The process is applied to both the training and test sets.
data.train$cap_gain_cut <- cut(data.train$cap_gain, breaks = c(0, 5095.5, 7055.5, Inf), right = FALSE, labels = c("lowcg", "mediumcg", "highcg"))
data.test$cap_gain_cut <- cut(data.test$cap_gain, breaks = c(0, 5095.5, 7055.5, Inf), right = FALSE, labels = c("lowcg", "mediumcg", "highcg"))
Don’t panic if all of this code is confusing. Just focus on reading the comments. As you can see, this is less of a programming question than it is a “logic and reasoning” question.


--- layout: stats title: Graham Lobel Statistics permalink: "/stats/players/graham-lobel.html" ---
| Year | Team | Finish | G | 10 | -5 | Pts | PPG |
|---|---|---|---|---|---|---|---|
| 2012 | Haverford | 22 | 14 | 11 | 5 | 85 | 6.07 |
| Year | Round | Player | Team | Opponent | Result | 10 | -5 | Pts | Packet |
|---|---|---|---|---|---|---|---|---|---|
| 2012 | 1 (Prelims) | Graham Lobel | Haverford | Northwestern | Loss | 1 | 0 | 10 | No Packet Recorded |
| 2012 | 2 (Prelims) | Graham Lobel | Haverford | Chicago B | Loss | 0 | 1 | -5 | No Packet Recorded |
| 2012 | 3 (Prelims) | Graham Lobel | Haverford | VCU A | Loss | 0 | 0 | 0 | No Packet Recorded |
| 2012 | 5 (Prelims) | Graham Lobel | Haverford | Harvard A | Loss | 0 | 0 | 0 | No Packet Recorded |
| 2012 | 6 (Prelims) | Graham Lobel | Haverford | Dartmouth A | Loss | 1 | 0 | 10 | No Packet Recorded |
| 2012 | 7 (Prelims) | Graham Lobel | Haverford | Michigan A | Loss | 0 | 0 | 0 | No Packet Recorded |
| 2012 | 9 (Playoffs) | Graham Lobel | Haverford | Alabama | Win | 1 | 0 | 10 | No Packet Recorded |
| 2012 | 10 (Playoffs) | Graham Lobel | Haverford | Chicago C | Loss | 0 | 0 | 0 | No Packet Recorded |
| 2012 | 11 (Playoffs) | Graham Lobel | Haverford | WUSTL | Loss | 0 | 0 | 0 | No Packet Recorded |
| 2012 | 12 (Playoffs) | Graham Lobel | Haverford | Dartmouth A | Win | 0 | 0 | 0 | No Packet Recorded |
| 2012 | 13 (Playoffs) | Graham Lobel | Haverford | Columbia B | Win | 1 | 2 | 0 | No Packet Recorded |
| 2012 | 14 (Playoffs) | Graham Lobel | Haverford | Chicago D | Win | 5 | 1 | 45 | No Packet Recorded |
| 2012 | 15 (Playoffs) | Graham Lobel | Haverford | Rutgers | Win | 2 | 1 | 15 | No Packet Recorded |
| 2012 | 18 (Finals, Placement) | Graham Lobel | Haverford | Chicago D | Win | 0 | 0 | 0 | No Packet Recorded |


{% extends "global/BaseMotherhood.html" %} {% load staticfiles otree_tags %} {% block title %} Task {% endblock %} {% block content %}
|
{% formfield player.user_text with label="" %} |
{% next_button %} |
|---|---|
{% autoescape off %} {{correct_last_round}} {% endautoescape %}
Points earned: {{ total_payoff }} |
|
You are playing in debug mode, so you can skip the manual transcription by clicking this link and clicking "next".


Welcome to Fagrimacs
Please click link below to confirm your email and complete registration.
{{ confirm_url }}


Guess a Number
Guess a number between 1 and 99 in seven attempts!
Enter a guess:
×
Guess a number between 1 and 99
Reset


MyGarage DIY
Intro
You're in bed at 11:30 PM, watching TV. Then you come to the sudden realization that you might have left the garage open ? What do you do ? Struggle out of bed all the way to the garage to find out it was actually closed (or open). Only if there was a way to know if your garage was open without going through the struggle.
This application was made in as an attempt to cheaply & easily automate one's garage. I think i was a little successful with this as all the parts could be bought for about $20. I'd advice splurging a little more and getting higher quality parts though. The main idea here is we have a server hooked up to a relay and some ultrasonic sensors. These sensors read and interact with the Raspberry Pi to provide information that can be accessed via the server.
Parts
- Raspberry Pi Zero
- 2 Ultrasonic Sensors
- Wifi Dongle*
- SD card (4 or 8gb)
- Simple relay
- Optional: miniHDMI Adapter**
- Optional: USB Hub**
- Optional: >1A microUSB Hub**
- Optional: microUSB -> USB adapter**
- Optional: Headers**
- Alternate to Ultrasonic sensors : Wired Door magnets
*I Personally used this but it seems to interfere with my actual garage opener so i recommended a different one
**You can avoid all the optionals (except the power supply) above by getting a Raspberry Pi 3 (or one with decent ports)
Parts (Cheap Version)
You'll need a monitor to get things going with the pi.
Backend
Take a minute to familiarize yourself with the layout of your pi. Gather soldering tools, wires, jumper cables, and all other stuff. This will be a handy reference tool for pin layout.
General Overview
The general overview is we have 1 ultrasonic sensor to measure the distance to the car, 1 to measure the distance to the top of the garage, and a relay to open the garage. We measure the distance to the top of the garage because it's more accurate when the distance is not too far away. Pointing the sensor straight towards the garage door will introduce extra errors and inaccuracies. The relay shorts the 2 wires that triggers the garage door. These 2 wires are nearly universal and you should have no problem with this. You could either short the 2 wires coming from the wall switch, or (like i did) connect your own wires to the 'ports' as seen below.
Quick Recap. Position Ultrasonic sensors to face the top edge of the door and the car (assumes a single car garage) and the relay is to be wired into the garage box. Info on relays here
Raspberry Pi Setup
This is not meant to serve as a setup tutorial (i'll go over the basics) but here are much more detailed tutorials on getting started. I advise you even run some menial programs on your own. Here's a wonderful instructable on this and here's the official setup page
QUICK OVERVIEW - Install Raspbian unto the SD card - Go to the downloads page and download the Raspbian Jessie image - Follow the instructions to write the image unto an SD card for Windows, Mac or Linux - Play around with all that comes with Raspberry ? - Go through initial setup. - Luckily, most peripherals are plug and play. You might have to change a password here or there but there isn't much setup to do other than writing the image. - Install Flask - This shall be our Server aplication/library - Make sure the internet is working
pi@raspberrypi ~ $ sudo apt-get install python-pip
pi@raspberrypi ~ $ sudo pip install flask
- Connect all the components up
- There should be 3 components to wire up. The 2 ultrasonic sensors (one for the car and one for the garage)
- Here's the code (self explanatory) I personally used to setup my sensors. You may change it anytime. Remember to reference this chart for pin numbers.
trigDoorPin=24 #Trigger pin for ultrasonic targeting the door. Using BCM Mode on RaspPi
echoDoorPin=23
trigCarPin=12
echoCarPin=26
GPIO.setmode(GPIO.BCM) #Needed config. Google 'BCM'
GPIO.setup(4,GPIO.OUT) #Setting up IO pins
GPIO.setup(15,GPIO.IN,pull_up_down=GPIO.PUD_UP)
GPIO.output(4,GPIO.LOW)
GPIO.setup(trigDoorPin,GPIO.OUT) #Set pin as GPIO out
GPIO.setup(echoDoorPin,GPIO.IN) #Set pin as GPIO in
GPIO.setup(trigCarPin,GPIO.OUT)
GPIO.setup(echoCarPin,GPIO.IN)
- Don't forget the relay. - i did not define the relay. Rather, since the function for this was simple, i did it inline.
def openClose(): #Basically, turn on the relay for half a second (.01 seconds didn't work).
GPIO.output(4,GPIO.HIGH)
sleep(.5)
GPIO.output(4,GPIO.LOW)
- Test and make adjustments
- The 2 parts of the backend code you'll need to adjust are the thresholds (line 32) AND the passphrase.
- Each threshold is unique. You'll have to experiment to see where yours lies.
- The passphrase is a security feature to ensure anyone who knows you have open ports in your network can't guess their way into it. A blank passphrase is treated as "". I advise you use this feature even if the passphrase is as short as "a".
- The passphrase is then converted to md5(). so localhost:6011/togglea is not going to work. Rather localhost:6011/toggle0cc175b9c0f1b6a831c399e269772661
- Final code comments
- The rest of the code is pretty straight forward and heavily commented. You should take a look at it.
Mounting options
Wrapping Up
If all went well, you should be able to go to theraspberrypisIPaddress:6011/toggle + whatever the md5ofthepassphrase_is and your garage should open.
This is the ideal case scenario. If all didn't go well, troubleshoot by running individual functions e.g. the openClose() function to determing if the relay works as expected. I'll also advice you have all this setup BEFORE you hook it up to the garage.
The WWW
So how would you make it possible to be able to open your garage while not connected to you homes network? This is Called Port Forwarding. A feature most routers should have.
Google your router's manufacturer + port fowarding. Each one is different. I have Netgear and i need to go to <IP_ADDRESS>, enter the default admin + password (whic is actually admin & password). Find out the pi's local ip. Go to the advanced section on port fowarding. Then enable the ports i want to foward on the ip address of the item i want to foward. The pictures below may be of help
SUCCESS !?
if so, find out your external ip address. Go to http://yourip:6011/toggle+yourpersonalpassphrasehash and voila! your garage can open from anywhere in the world. Try this with your phone on LTE and see!
Front End
For android users out there, this is where we part unforunately. I have no Java/android dev experience. If any of you can make an equivalent app for android, that'd be INCREDIBLE!! I have a workable solution though. With Flask, you can serve static files, meaning you could make your links into a web app like this guy's solution
MyGarage
This is a native ios app i built to work with this system and similar systems with a little adaptation. If you followed everything above, this should be plug and play. Here is a video of the initial setup. I think it's absolutely gorgeous. You can make your own judgements.
To download this app, visit the App Store
Official Description
This is an app for DIYers like myself who love to tinker with stuff. This app particularly lets you control your garage with a native iPhone app.
It includes many features and benefits like
- Touch id for authentication/security
- Geofencing for closing/open the door on exit/entrance
- Allow access to close friends and family
- Setup is easy with the right backend solution
- Visual representation of garage door activity
- Very secure
- Ability to see if system is offline
Best of all, IT'S FREE!!
Backend needs as little as a toggle switch and an Open/Closed state to work. Please refer to http://github.com/oooseun/MyGarage for setup instructions.
The app is completely detached from any servers other than the ones you yourself so your data isn't being beamed off to some remote location.


Argon2 is a password-hashing function that summarizes the state of the art in the design of memory-hard functions and can be used to hash passwords for credential storage, key derivation, or other applications.
Here Argon2 library is compiled for browser runtime. Statistics, js library, source and docs on GitHub.


Plane with Hillary Clinton aboard grounded after shaking, smoking from mechanical issue: report
by Kenneth GargerA plane with Hillary Clinton aboard was grounded at LaGuardia Airport Sunday afternoon after suffering an unknown mechanical issue on the tarmac, a report said.
American Airlines flight 2144 to Washington DC’s Reagan Airport was forced to return to the gate about 3:15 p.m. following a mechanical issue reported by ground personnel, a law enforcement source told CNN.
MAHER RIPS HILLARY CLINTON'S 2020 TEASE: 'SOMEONE NEEDS TO PUT XANAX IN HER HOT SAUCE'
Another source confirmed with the network that the former secretary of state was on board.
The flight’s pilots reported to authorities feeling the plane shake then saw smoke, the report said.
CLICK HERE TO GET THE FOX NEWS APP
Metal debris was later discovered in the area where the mechanical issue took place.


A lot of people today are confused about what is Ruby and what is Ruby on Rails and what is Rails? Today I will try to make it more clear.
Let’s start first with understanding what is programming language and what is a framework.
A programming language is a formal constructed language designed to communicate instructions to a machine, particularly a computer. Programming languages can be used to create programs to control the behavior of a machine or to express algorithms. The most popular languages today are: C, Java, PHP, JavaScript, C++, Python, Ruby, Shell, C# and so on.
What does Software Framework mean?
A software framework is a concrete or conceptual platform where common code with generic functionality can be selectively specialized or overridden by developers or users. Frameworks take the form of libraries, where a well-defined application program interface (API) is reusable anywhere within the software under development. From my perspective, a framework does several things:
- it makes it easier to work with complex technologies
- it ties together a bunch of discrete objects/components into something more useful
- it forces the team (or just me) to implement code in a way that promotes consistent coding, fewer bugs, and more flexible applications
- everyone can easily test and debug the code, even code that they didn't write.
I will give you few examples of popular frameworks:
For Ruby - Ruby on Rails, Lotus, Sinatra
For JavaScript - AngularJS, Backbone.js, Ember.js
For Python - Flask, Django
For PHP - Laravel, Symfony, Phalcon.
I think you can guess now what is Ruby and what is Rails :)
WHAT IS RUBY??
Ruby is a powerful, dynamic and general purpose Object Oriented Programming language. Ruby was conceived in Japan in 1995 by a Japanese Programmer named Yukihiro Matsumoto. He is also called "Matz" by Ruby developers all over the world.
Ruby is not a compiled language like C++, Java, C# etc. Matz decided to create Ruby because he wanted to create a language that balanced functional programming with imperative programming. Matz was looking to create a language which is elegant like Perl , Object Oriented like Python and has some built in features like Smalltalk. Other than these languages it is also inspired by Eiffel, Ada, and Lisp . Also it has been said by community members that it was named "Ruby" as it come out in June and Ruby is the birthstone of June whereas Perl is the birthstone of July and "Perl" came out in July.
Ruby is Open Source (means anybody can download it and use it).
WHAT IS RAILS??
Ruby on Rails often shortened as Rails or ROR is an open source web application development framework written in the Ruby language. It is designed to make programming web applications easier by making assumptions about what every developer needs to get started. It allows you to write less code while accomplishing more than many other languages and frameworks. Experienced Rails developers also report that it makes web application development more fun.. Ruby on Rails was extracted by David Heinemeier Hansson. Hansson first released Ruby on Rails as open source in July 2004, but did not share commit rights to the project until February 2005. Ruby on Rails uses the Model-View-Controller (MVC) architecture to organize the web application programming.
The Rails philosophy includes two major guiding principles:
- Don’t Repeat Yourself: DRY is a principle of software development which states that "Every piece of knowledge must have a single, unambiguous, authoritative representation within a system." By not writing the same information over and over again, our code is more maintainable, more extensible, and less buggy.
- Convention Over Configuration: Rails has opinions about the best way to do many things in a web application, and defaults to this set of conventions, rather than require that you specify every minutiae through endless configuration files.
Thank you,
Iulia


Ambulances not parked for campaign – Government
Government has refuted claims that it is parking the ambulances it has procured so far for campaign purposes.
There has been claims by a section of the public especially opposition National Democratic Congress’s propagandists that Government has opted to have the ambulances parked while Ghanaians across the country loose their lives.
But the Information Ministry in an update on the procurement of the 307 ambulances clarified that “it is instructive to note that, the Ambulances are just not parked but rather there are plethora of activities taking place to ensure that, proper management structures have been put in place before distribution which is just 2 months away.”
Among the activities the Ministry cited, was the training of some “500 Paramedics to manage the Ambulances are expected to complete their training at the National Ambulance Service before the year ends.”
The Ministry added that “in fact, the first batch will graduate next week Friday.”
It reiterated that Government has procured 307 ambulances.
Out of the 307, it said 96 ambulances have so far arrived in the country.
“About 40 more are on the high sea heading to Ghana,” according to the Ministry.
“The remaining Ambulances will all arrive before the year ends,” it added.
It explained that “of the 96 in the country, 48 are yet to be cleared at the port.”
“The 48 that have been cleared at the port are parked at the state house, and are undergoing registration and installation of trackers for proper monitoring of their movement when they’re finally distributed,” it said.
According to the Ministry, receiving points to receive the ambulances were being set up in all the 275 constituencies.
Again, it said, “Government has spent fortune in purchasing these facilities and as such it is only proper that, measures are put in place for the effective management and sustainability of the Ambulances before distribution starts in January.”


0
Hi, Seller Name
My profile
Settings
Logout
Category
All Offers
Mobile & Tablets
Electronics
Computers & Gaming
Home & Kitchen
Electronics
Mobiles
Mobile Accessories
Laptop
Smart Wearable Tech
Desktop PCs
Televisions
Camera
Camera Accessories
Tablets
Appliances
Washing Machine
Refrigerators
Air Conditioners
Geysers
Men's Fashion
Footwear
Sports wear
Top wear
Innerwear & Sleepwear
Ties, Socks, Caps & more
Kurta, Pyjama & more
Winter wear
Sneakers
Women's Fashion
Clothing
Western Wear
Lingerie & Sleepwear
Sandals
Ethnic Wear
Jewellery
Baby & Kids
Kids Clothing
Boys' Clothing
Kids Footwear
Boys' Footwear
Toys
Home & Furniture
Kitchen & Dining
Furniture
Home Decor
Gas Stoves
Lighting
House Keeping & Laundry
Blankets, Quilts & Dohars
Towels
Books & More
Entrance Exams
Academic
Literature & Fiction
Indian Writing
Biographies
Children
Business
Self Help
Gaming & Accessories
PS4
Xbox One
Xbox 360
Gaming Consoles
Smart Glasses(VR)
Comics
Sports
Cricket
Badminton
Football
Camping & Hiking
Swimming
Table Tennis
Tennis
Car & Bike Accessories
Car Body Cover
Bike Body Cover
Car Air Freshener
Vehicle Washing & Cleaning
Car Sun Shade
Bike Body Cover
Car Air Freshener
Car Mat
Seller Dashboard
Dashboard
Edit Profile
Add Products
My Products
My Sales
Finance
Stores
Edit Profile
First Name
Email Address
Type of Industry
Type of Industry
Option-1
Option-2
Option-3
Type of Company
Type of Company
Option-1
Option-2
Option-3
Profile Logo
Upload
Phone
Website
Company E-mail
Location
Location
Option-1
Option-2
Option-3
Address
*
Area
*
Block
*
Street *
Avenue
House/Building *
Floor
Apartment
Pasi Number
(12 digits)
Post Code
Contact Person
Name
E-mail
Mobile Number
Office Number
Bank Account Number
Name of Bank
Account number


--- creation_epoch:<PHONE_NUMBER> lastmod_epoch:<PHONE_NUMBER> categories: Misc title: New site layout --- I've updated my site layout so it works better with IE7, FF3, and Chrome. This fixes some layout issues with long pages.
It may not look as pretty yet, but the content is much more readable.


Me Myself & I
I'm Larvine a Junior Dev
I am 22 years old.
I love structure and order and also stand for quality.
I'm a fan of outdoor activities
- Bike riding
- Swimming
- Playing Basketball
listening to music, I play a few musical instruments such as:
and I'm a family person.
I am a Junior developer located in Nairobi.
Modern computing and Technology keeps transforming and changing every now and again ,
by this one can improve ones' lives in various ways. Hence, one of the many reasons I so wanted
to learn coding or rather do programming.
I have a serious passion for film animation and programming-backend dev.
My interests lies in solving problems related to large-scale distributed software system.


SHE WORE A YELLOW RIBBON (director: John Ford; screenwriters: James Warner Bellah/Frank S. Nugent; cinematographer: Winton Hoch; cast: John Wayne (Capt. Nathan Brittles), Joanne Dru (Olivia Dandridge), Victor McLaglen (Sergeant Quincannon), Ben Johnson (Sergeant Tyree), John Agar (Lieutenant Flint Cohill), Harry Carey Jr.(Lieutenant Pennell), Mildred Natwick (), George O'Brien (Major Allshard), Tom Tyler (Corporal Mike Quayne ), 1949)
Reviewed by Dennis Schwartz
The best of John Ford's trilogy about the 7th Calvary, which includes the initial offering of Fort Apache (48) and concludes with Rio Grande (50). John Wayne is in all three of them, playing a somewhat similar role of a rugged officer who is fighting the Indians. Though, this film has the advantage of the protagonist being in the twilight of his career, having found peace within himself and who can now seek peace with his foes without the need to apologize for it. Wayne has commented that this is his favorite role of all the films he ever made. It is an elegantly sentimental work touching on the rituals observed on an army post. Ford pulls out all the strings of patriotism and what it means to be brave in action, in order show how self-sacrificing the cavalry men were in their dangerous role of staking out and protecting the territories that made up the West of 1876, after Custer's defeat. But it is most of all, the story of John Wayne, an army man, who is retiring after a distinguished career in the service of his country, looking at himself for one last time in uniform, where he commands the full respect of his superiors and the men he leads. He is the ideal of what a soldier is supposed to be like. When a spoiled rich officer who is opting to leave the cavalry, but accepts a chew of tobacco from Wayne and sees a gunrunner selling guns to the Indians, that's it, he's sold on staying in the cavalry. Those were indeed more simplistic times, but not totally out of the realm of how some modern day soldiers may feel.
Captain Nathan Brittles (Wayne) is about to retire in a few days from a job that he more than loves. He is given one last assignment by Post Commander Major Allshard (O'Brien), to escort an attractive single lady (Dru) and the commander's wife (Natwick) out of harm's way, for them to catch a stage away from the remote fort because the Indians have united and are on the warpath.
The twists in the story line come from the quirks the characters display not from the story itself, which is rather ordinary: the comraderie between the captain and the very Irish top sergeant (McLaglen), who likes a bit of whiskey and adds comic relief to the stodginess of the army routine, fits in with the buddy theme of many Ford films. They show complete loyalty to each other and to the army they serve. A virtue that is considered essential for any character in a Ford movie, that he really cares about. The romantic battle over Dru fought by the two lieutenants, Agar and Carey, is played to the hilt, as she willfully flirts with each, until she chooses the one she really loves. The bravery of a corporeal (Tyler) in battle, who even when severely wounded must finish his mission by reporting to the captain what he saw, is looked upon with gushing respect for the soldier's valor. And, finally, the most sentimental moments are savored for the captain talking to his dead wife about what he did for the day, expressing a love for her that is eternal. It adds to the feeling that the past cannot be ignored. It is the future without the army that scares an old soldier like Wayne, the most.
Winton Hoch, the cinematographer, won an Oscar for the visually memorable mesas and haunting loneliness of the Monument Valley landscape, which was used as the film's location sites. It provides the film with an epic scale of the country, as there is a melancholy intermingled in those vistas with a sense of reverie for the men who are so far away from civilization, surrounded by the red sand and barren mountain peaks, yet are greater practitioners of civilized etiquettes than even the citizens back east, through their daily obediance to rank and order and their need to socialize by formal dance and their chilvary toward women, which might seem old-fashioned but is pleasantly accomplished here.
What pulls the film together and gives it a raw power, is something that can only be ascertained by accepting Ford's premise that it is absolutely necessary what the men do and that they are in the right. They have God on their side, a just country behind them, and that the men are fighting a heroic war to make the country safe for democracy. To scrutinize this film in any other way, is to lose track of what direction the film meant to be going.
To add color and more sentimentality to the story, there is the theme song of the yellow ribbon, played countless times, either to the immense pleasure of most viewers or to some, to grate on their nerves. The yellow ribbon worn by Dru, is a signal that she has chosen a boyfriend on the post. That act was given just as much importance in the story as the key moment of the film was, when Wayne rides into the Indian camp to try and make peace, using the rational argument that both sides will lose many of its brave young men who are irreplaceable by carrying on this bloody war. Ford justifies the placing of the Indians in reservations, as long as we treat them with respect and honor their customs. The calvary should follow them to their reservations, but stay out of sight so the Indians wouldn't be humiliated by the men watching them.
This is Ford's look at the West and the cavalry men he adores so much. Perhaps the scene that summarizes the film's intentions best, is when Wayne is given a solid silver watch by the men for his retirement, and the presenting of the gift and the accepting of it, are met with a few well-chosen words, each weighed heavily with an aura of mutual respect, almost bringing tears to Wayne's and the audience's eyes, as he reads the inscription that you know means so much to him. If you can see that as a glorious and magnificent scene, you will have, most likely, fallen in love with this grand and lyrical film. But if you don't, you can still be swept away by the eloquence of the film and its call for some kind of majesty of action one should have, in this beautiful, God created country, that Ford believes has room in it for everyone who acts civilly.
REVIEWED ON 7/30/99 GRADE: B+
Dennis Schwartz: "Ozus' World Movie Reviews"
http://www.sover.net/~ozus
<EMAIL_ADDRESS>© ALL RIGHTS RESERVED DENNIS SCHWARTZ
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Menu
Home
About
Store
Contact
Blog
Menu
Home
About
Store
Contact
Blog
Menu
Home
About
Store
Contact
Blog
Menu
Home
About
Store
Contact
Blog


A small JavaScript library for color manipulation.
For detailed documentation please visit Github.
MIT License (MIT)
Pull requests are welcome.
For any improvements and healthy discussions,
Please drop a mail or visit my Github.


The data connected using controller.connect
.
Whether the controller is animating.
Animate state using animejs.
Close the current overlay
Connect this controller to a component or set of props. This
could be called from a component's onComponentDidMount
method,
or using the props from an override.
Find a child with a given prop / value pair somewhere in its children
Check a swipe to see if the component should go back to the previous screen.
Connect a FlowComponent to this controller via its override props.
Pause the current animation.
Resume the current animation.
Seek the current animation to a given normalised point.
Show a new page, using its FlowComponentScreen name or index in the pages array.
Display an overlay
Show a page with a given index (in the pages array).
Show the previous index.
Show the first item on the stack
Start a new stack with the given screen
Stop the current animation.
Generated using TypeDoc
The controller's current animation.


Press n or j to go to the next uncovered block, b, p or k for the previous block.
| File | Statements | Branches | Functions | Lines | |||||
|---|---|---|---|---|---|---|---|---|---|
| components |
|
0% | 0/0 | 0% | 0/0 | 0% | 0/0 | 0% | 0/0 |
| components/Button |
|
100% | 25/25 | 84.31% | 43/51 | 66.67% | 4/6 | 100% | 25/25 |
| components/Card |
|
100% | 26/26 | 93.33% | 28/30 | 83.33% | 5/6 | 100% | 26/26 |
| components/Checkbox |
|
81.4% | 35/43 | 78.05% | 32/41 | 57.14% | 4/7 | 82.93% | 34/41 |
| components/Divider |
|
100% | 7/7 | 75% | 6/8 | 100% | 2/2 | 100% | 7/7 |
| components/Dropdown |
|
85.34% | 99/116 | 72.27% | 86/119 | 77.78% | 21/27 | 85.34% | 99/116 |
| components/InteractionFeedback |
|
91.43% | 32/35 | 86.67% | 13/15 | 76.92% | 10/13 | 96.67% | 29/30 |
| components/Label |
|
100% | 22/22 | 84.62% | 22/26 | 100% | 2/2 | 100% | 22/22 |
| components/Modal |
|
67.86% | 19/28 | 76.92% | 20/26 | 60% | 3/5 | 67.86% | 19/28 |
| components/Progress |
|
100% | 4/4 | 100% | 0/0 | 100% | 1/1 | 100% | 4/4 |
| components/RangeSlider |
|
65.05% | 67/103 | 53.7% | 58/108 | 73.08% | 19/26 | 65.69% | 67/102 |
| components/Table |
|
60.43% | 84/139 | 36.76% | 68/185 | 59.38% | 19/32 | 61.76% | 84/136 |
| components/Tag |
|
100% | 17/17 | 94.29% | 33/35 | 100% | 3/3 | 100% | 17/17 |
| components/Text |
|
100% | 10/10 | 100% | 27/27 | 100% | 4/4 | 100% | 10/10 |
| components/TextInput |
|
60% | 24/40 | 52.83% | 28/53 | 40% | 4/10 | 60% | 24/40 |
| context |
|
75% | 12/16 | 14.29% | 1/7 | 80% | 4/5 | 75% | 12/16 |
| enums |
|
0% | 0/0 | 0% | 0/0 | 0% | 0/0 | 0% | 0/0 |
| htmlElements |
|
100% | 13/13 | 100% | 0/0 | 100% | 0/0 | 100% | 13/13 |
| utils |
|
65% | 52/80 | 46% | 23/50 | 90.91% | 10/11 | 64.94% | 50/77 |


NEVER TALK TO STRANGERS A film review by James Berardinelli Copyright 1995 James Berardinelli
RATING (0 TO 10): 3.3
United States, 1995 U.S. Availability: 10/20/95 (wide) Running Length: 1:25 MPAA Classification: R (Violence, sex, profanity, nudity) Theatrical Aspect Ratio: 1.85:1
Cast: Rebecca DeMornay, Antonio Banderas, Dennis Miller, Len Cariou, Harry Dean Stanton Director: Peter Hall Producers: Andras Hamori and Jeffrey R. Neuman & Martin J. Wiley Screenplay: Lewis Green & Jordan Rush Cinematography: Elemer Ragalyi Music: Pino Donaggio U.S. Distributor: TriStar
Here's a sure method to guess whodunnit in bad mystery thrillers: pick the suspect most likely to shock the audience and you have the killer. (Note: "most likely to shock" does not necessarily equate to "least likely to have done it".) And, true to form, this is how NEVER TALK TO STRANGERS gives itself away roughly half an hour early. A lot of things about the killer's identity don't make sense, but then, in this kind of B-grade schlock, coherence isn't a prime requisite.
It's been a good season for serial killers. In addition to this film, they're currently out and about in HALLOWEEN 6, SEVEN, COPYCAT, and JADE. I'm not sure if this fascination with mass murder says more about the average movie-goer or Hollywood's perception of the average movie-goer. Regardless, apparently this kind of motion picture sells. And so does Antonio Banderas. This is his fourth of five movies this year (MIAMI RHAPSODY, DESPERADO, ASSASSINS, NEVER TALK TO STRANGERS, FOUR ROOMS), and his name on the marquee guarantees extra dollars at the box office.
Judging by Rebecca DeMornay's over-the-top performance here, it's not hard to figure out why she's been pigeonholed into this genre. She and Sharon Stone have *a lot* in common. Anyway, in NEVER TALK TO STRANGERS, DeMornay plays Dr. Sarah Taylor, a psychiatrist charged by the court to evaluate the sanity of serial killer Max Cheski (Harry Dean Stanton). He claims to have Multiple Personality Disorder, but Sarah's not so sure. Meanwhile, she has a new boyfriend, Tony Ramirez (Banderas), a stranger she meets in the grocery store wine department. However, at about the same time she first goes out with him, someone begins stalking her. The question is: does it have something to do with Tony or Cheski (who's supposedly safely behind bars), or is the truth buried deep in the roots of Sarah's own tragic past?
And the answer is: Who cares? This poorly-constructed film has so many obvious flaws in logic that it's difficult to retain even a moderate interest in the proceedings. Normally, this type of movie goes straight to video, but apparently Banderas' involvement earned it a theatrical run. Regardless, it's doubtful that even someone as hot as this actor can help out something that's so astonishingly dumb.
There's an unwritten rule that psychiatrists in thrillers are inevitably more screwed up than their clients. NEVER TALK TO STRANGERS succumbs to this and every other bad cliche of the genre. The story is about Multiple Personality Disorders, and everyone involved with this motion picture seems to be afflicted, including the screenwriters and director.
- James Berardinelli<EMAIL_ADDRESS>The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


org.opencv.features2d
Class FeatureDetector
java.lang.Object
org.opencv.features2d.FeatureDetector
public class FeatureDetector
- extends java.lang.Object
| Methods inherited from class java.lang.Object |
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
AKAZE
public static final int AKAZE
- See Also:
- Constant Field Values
BRISK
public static final int BRISK
- See Also:
- Constant Field Values
DENSE
public static final int DENSE
- See Also:
- Constant Field Values
DYNAMIC_AKAZE
public static final int DYNAMIC_AKAZE
- See Also:
- Constant Field Values
DYNAMIC_BRISK
public static final int DYNAMIC_BRISK
- See Also:
- Constant Field Values
DYNAMIC_DENSE
public static final int DYNAMIC_DENSE
- See Also:
- Constant Field Values
DYNAMIC_FAST
public static final int DYNAMIC_FAST
- See Also:
- Constant Field Values
DYNAMIC_GFTT
public static final int DYNAMIC_GFTT
- See Also:
- Constant Field Values
DYNAMIC_HARRIS
public static final int DYNAMIC_HARRIS
- See Also:
- Constant Field Values
DYNAMIC_MSER
public static final int DYNAMIC_MSER
- See Also:
- Constant Field Values
DYNAMIC_ORB
public static final int DYNAMIC_ORB
- See Also:
- Constant Field Values
DYNAMIC_SIFT
public static final int DYNAMIC_SIFT
- See Also:
- Constant Field Values
DYNAMIC_SIMPLEBLOB
public static final int DYNAMIC_SIMPLEBLOB
- See Also:
- Constant Field Values
DYNAMIC_STAR
public static final int DYNAMIC_STAR
- See Also:
- Constant Field Values
DYNAMIC_SURF
public static final int DYNAMIC_SURF
- See Also:
- Constant Field Values
FAST
public static final int FAST
- See Also:
- Constant Field Values
GFTT
public static final int GFTT
- See Also:
- Constant Field Values
GRID_AKAZE
public static final int GRID_AKAZE
- See Also:
- Constant Field Values
GRID_BRISK
public static final int GRID_BRISK
- See Also:
- Constant Field Values
GRID_DENSE
public static final int GRID_DENSE
- See Also:
- Constant Field Values
GRID_FAST
public static final int GRID_FAST
- See Also:
- Constant Field Values
GRID_GFTT
public static final int GRID_GFTT
- See Also:
- Constant Field Values
GRID_HARRIS
public static final int GRID_HARRIS
- See Also:
- Constant Field Values
GRID_MSER
public static final int GRID_MSER
- See Also:
- Constant Field Values
GRID_ORB
public static final int GRID_ORB
- See Also:
- Constant Field Values
GRID_SIFT
public static final int GRID_SIFT
- See Also:
- Constant Field Values
GRID_SIMPLEBLOB
public static final int GRID_SIMPLEBLOB
- See Also:
- Constant Field Values
GRID_STAR
public static final int GRID_STAR
- See Also:
- Constant Field Values
GRID_SURF
public static final int GRID_SURF
- See Also:
- Constant Field Values
HARRIS
public static final int HARRIS
- See Also:
- Constant Field Values
MSER
public static final int MSER
- See Also:
- Constant Field Values
ORB
public static final int ORB
- See Also:
- Constant Field Values
PYRAMID_AKAZE
public static final int PYRAMID_AKAZE
- See Also:
- Constant Field Values
PYRAMID_BRISK
public static final int PYRAMID_BRISK
- See Also:
- Constant Field Values
PYRAMID_DENSE
public static final int PYRAMID_DENSE
- See Also:
- Constant Field Values
PYRAMID_FAST
public static final int PYRAMID_FAST
- See Also:
- Constant Field Values
PYRAMID_GFTT
public static final int PYRAMID_GFTT
- See Also:
- Constant Field Values
PYRAMID_HARRIS
public static final int PYRAMID_HARRIS
- See Also:
- Constant Field Values
PYRAMID_MSER
public static final int PYRAMID_MSER
- See Also:
- Constant Field Values
PYRAMID_ORB
public static final int PYRAMID_ORB
- See Also:
- Constant Field Values
PYRAMID_SIFT
public static final int PYRAMID_SIFT
- See Also:
- Constant Field Values
PYRAMID_SIMPLEBLOB
public static final int PYRAMID_SIMPLEBLOB
- See Also:
- Constant Field Values
PYRAMID_STAR
public static final int PYRAMID_STAR
- See Also:
- Constant Field Values
PYRAMID_SURF
public static final int PYRAMID_SURF
- See Also:
- Constant Field Values
SIFT
public static final int SIFT
- See Also:
- Constant Field Values
SIMPLEBLOB
public static final int SIMPLEBLOB
- See Also:
- Constant Field Values
STAR
public static final int STAR
- See Also:
- Constant Field Values
SURF
public static final int SURF
- See Also:
- Constant Field Values
create
public static FeatureDetector create(int detectorType)
detect
public void detect(java.util.List<Mat> images,
java.util.List<MatOfKeyPoint> keypoints)
detect
public void detect(java.util.List<Mat> images,
java.util.List<MatOfKeyPoint> keypoints,
java.util.List<Mat> masks)
detect
public void detect(Mat image,
MatOfKeyPoint keypoints)
detect
public void detect(Mat image,
MatOfKeyPoint keypoints,
Mat mask)
empty
public boolean empty()
read
public void read(java.lang.String fileName)
write
public void write(java.lang.String fileName)