"""This module provides classes and functions for grouping work into approach
Groups"""
from .collection_helpers import oget, oset, dhas, ddel, dget
from .operations import reload
from . import config
APPROACHES = []
[docs]class Group:
"""Represent an Approach or a Group of work.
Arguments:
* `args` -- list of work that represents the group
* `kwargs` -- map of attributes to be applied for the group and its works
* Exception: the keyword `dont_cite=` also represents a list of works that
belong to the group
Expected attributes:
* _cite: cite group by authors
* True indicates that the approach must be referenced by its authors
* False indicates that the approach can referenced by name
* _meta: list of dicts with attributes for comparing approaches
* A single approach can have more than one meta dict
* It is possible to use the distinct meta dicts to describe different
aspects
* _about: HTML describing the approach
Doctest:
.. doctest::
>>> from .operations import reload, work_by_varname
>>> reload()
>>> murta2014a = work_by_varname("murta2014a")
>>> pimentel2015a = work_by_varname("pimentel2015a")
>>> pimentel2015a.display == "now"
False
>>> APPROACHES.clear()
>>> len(APPROACHES)
0
>>> group = Group(
... murta2014a, pimentel2015a,
... display="now",
... _cite=True,
... _meta=[dict(
... scripts=True
... )]
... )
>>> group.display
'now'
>>> pimentel2015a.display == "now"
True
>>> len(APPROACHES)
1
"""
_category = config.APPROACH_RELATED_CATEGORY
def __init__(self, *args ,**kwargs):
work = list(args)
if dhas(kwargs, "approach_dont_cite"):
work += dget(kwargs, "approach_dont_cite")
oset(self, "approach_dont_cite", dget(kwargs, "approach_dont_cite"))
ddel(kwargs, "approach_dont_cite")
oset(self, "approach_work", work)
for key, item in kwargs.items():
for arg in work:
if not hasattr(arg, config.APPROACH_FORCE_PREFIX + key):
setattr(arg, key, item)
setattr(self, key, item)
if self._category == config.APPROACH_RELATED_CATEGORY:
APPROACHES.append(self)
[docs]class Item:
"""Constant Item that supports additional descriptions"""
def __init__(self, value, _star=None, _bool=True, _examples=[]):
self.value = value
self._star = _star
self._bool = _bool
self._examples = _examples
[docs] def star(self, text):
"""Add description to constant"""
return Item(self.value, _star=text, _bool=self._bool, _examples=self._examples)
[docs] def such_as(self, examples):
"""Exemplify constant"""
return Item(self.value, _star=self._star, _bool=self._bool, _examples=examples)
def __eq__(self, other):
if isinstance(other, Item):
return self.value == other.value
return self.value == other
def __hash__(self):
return hash(self.value)
def __bool__(self):
return self._bool
@property
def text(self):
"""Return text representation for constant, considering star"""
if self._star is None:
return str(self.value)
return str(self._star)
def __repr__(self):
if self._examples:
return "{} ({})".format(self.text, ", ".join(map(str, self._examples)))
return self.text
def __str__(self):
return repr(self)
[docs]def name(approach):
"""Return approach name. Removes double spaces in display
Doctest:
.. doctest::
>>> from snowballing.operations import reload
>>> reload()
>>> [[a, m]] = get_approaches()
>>> name(a)
'noWorkflow'
"""
return config.approach_display(approach)
[docs]def get_approaches(condition=None):
"""Return pairs of approaches and meta dicts
Doctest:
.. doctest::
>>> from snowballing.operations import reload
>>> reload()
>>> len(get_approaches())
1
"""
if not condition:
condition = lambda approach, meta: True
reload()
all_approaches = [
(approach, meta)
for approach in APPROACHES
for meta in approach._meta
if condition(approach, meta)
]
return all_approaches
[docs]def wcite(approach, works, extra=""):
"""Return a latex cite command with all work in an approach"""
return " \\cite{}{{{}}}".format(
extra,
", ".join(config.approach_ids_from_work(approach, works))
)
[docs]def wlatex_name(approach, works):
"""Return approach name or latex citation according to attribute _cite"""
if not approach._cite:
return name(approach)
return wcite(approach, works, "t")
[docs]def wcitea(approach, works):
"""Return approach name followed by latex citation"""
if not approach._cite:
return name(approach) + wcite(approach, works)
return wcite(approach, works, "t")


A free Internet is a better Internet. This Chrome browser plugin removes paywalled content from Google search results.
If you don’t want to pay for the story, the headline shouldn’t be an option. The business model of paywalls—i.e. annoy the user with a bait-and-switch ad a hundred times, when they convert and pay every month until they die—hinders the internet’s ability to be a free and open experience. Hacker Noon believes that if the user doesn’t want to run into a paywall, they should be able to filter paywalled content out of its search results and newsfeeds. This plugin removes known paywalled sites from your Google results.
The Free Internet Plugin is open sourced on Hacker Noon’s github. Suggestions to improve the plugin are much appreciated! If you’d like to support the development THE FREE INTERNET PLUGIN, you can donate here.


A set of functions is provided for 1) the stratum lengths analysis along a chosen direction, 2) fast estimation of continuous lag spatial Markov chains model parameters and probability computing (also for large data sets), 3) transition probability maps and transiograms drawing, 4) simulation methods for categorical random fields.
| Version: | 0.3.9 |
| Depends: | R (≥ 3.0.0), base, methods, datasets, utils, grDevices, graphics, stats |
| Published: | 2018-02-12 |
| Author: | Luca Sartore |
| Maintainer: | Luca Sartore <drwolf85 at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| Citation: | spMC citation info |
| Materials: | NEWS |
| CRAN checks: | spMC results |
| Reference manual: | spMC.pdf |
| Package source: | spMC_0.3.9.tar.gz |
| Windows binaries: | r-devel: spMC_0.3.9.zip, r-release: spMC_0.3.9.zip, r-oldrel: spMC_0.3.9.zip |
| OS X binaries: | r-release: spMC_0.3.9.tgz, r-oldrel: spMC_0.3.9.tgz |
| Old sources: | spMC archive |
Please use the canonical form https://CRAN.R-project.org/package=spMC to link to this page.


My profile
Hometown
I was born in Isfahan but I grew up in Tehran.Now I live in Isfahan
Occupation
I studied software engineer.I graduated 2 years ago.
I'm learning programming.I want to be a programmer and a real engineer.I wish I become a professional programmer.
Languages
I speak Persion and I'm learning English.I'd like to study Germany


- add(BaseAnimation) - Method in class com.nukethemoon.tools.ani.Ani
-
Adds an animation.
- add(int, BaseAnimation) - Method in class com.nukethemoon.tools.ani.Ani
-
Adds an animation with a start delay.
- add(BaseAnimation[], AnimationFinishedListener) - Method in class com.nukethemoon.tools.ani.Ani
-
Adds multiple animations and a listener to fall if all are finished.
- add(BaseAnimation[]) - Method in class com.nukethemoon.tools.ani.Ani
-
Adds multiple animations.
- addFinishedListener(AnimationFinishedListener) - Method in class com.nukethemoon.tools.ani.BaseAnimation
-
Adds an animation finished listener.
- addSequence(BaseAnimation[], AnimationFinishedListener) - Method in class com.nukethemoon.tools.ani.Ani
-
Adds a sequence of animations that will be added one after another.
- addSequence(BaseAnimation[]) - Method in class com.nukethemoon.tools.ani.Ani
-
Adds a sequence of animations that will be added one after another.
- Ani - Class in com.nukethemoon.tools.ani
-
A controller to add and update animations.
- Ani() - Constructor for class com.nukethemoon.tools.ani.Ani
-
Creates a new animation controller.
- Ani(int) - Constructor for class com.nukethemoon.tools.ani.Ani
-
Creates a new animation controller.
- AnimationFinishedListener - Interface in com.nukethemoon.tools.ani
-
A listener that can be used to listen to an animation to finish.
- AnimationsFinishedCollector - Class in com.nukethemoon.tools.ani
-
Can be used to wait for multiple animations to finish.
- AnimationsFinishedCollector(int, AnimationFinishedListener) - Constructor for class com.nukethemoon.tools.ani.AnimationsFinishedCollector
-
Creates a new instance.


{% load bootstrap4 %} {% load static %}
Discover the best project designs drafted by Python-Django platform. Coding is a journey....it takes one step at a time.
Discover the best project designs drafted by Python-Django platform.
Coding is a journey....it takes one step at a time.


Resume
-
Sunday School Teacher
I am a sunday school teacher at Atlanta Chin Baptist Church, located in Norcross, Ga. I teach a senior class and my students are very bright and very intelligent.
God is good all the time
-
Community Leader
I work with Burmese community every day and I cannot live without them. Chin community is the best community in the world.
Thank you God for giving us community
-
Student
I am studying political science at Georgia State University and I love it very mcuh.
College is no fun but it is a learning process


| Analysis Situs ./features/reverse engineering overview |
| Download | Features | Source code | Terminology | References |
One can think of reverse engineering as a specific CAD modeling process where you start from an existing artifact instead of a blank workspace. The whole process is driven by a reference shape represented with either a point cloud or mesh geometry. Looking from this standpoint, Analysis Situs is designed to become a modeling system where the main prerequisite is the existence of a reference part guiding the design process and used to snap points, curves, and surfaces. The following figure illustrates the entire reverse engineering workflow in Analysis Situs.
It all starts with importing a mesh model. The most popular format for unorganized triangulations today is the stereolithography format (STL). Once the import is done, you begin retopologizing your model by outlining the feature lines. The goal of this stage is to build a network of curves bounding the surface patches. It is practical to sketch the boundary curves following the curvature map of your mesh. Once you are done with the topology, it is time to fit surfaces and construct a final manifold shell. In the end, you may want to check the obtained deviation map and export the result to one of the popular CAD exchange formats, e.g., IGES or STEP.


java.security.debug
System PropertyThis system property controls whether the security system of the Java Runtime Environment (JRE) prints trace messages during execution. This option can be useful when diagnosing an issue involving a security manager when a SecurityException
is thrown.
The java.security.debug
property can have the following values:
access
Print all checkPermission
results.
The following additional options can be specified with the access
option:
stack
Include stack trace.
domain
Dump all domains in context.
failure
Before throwing an exception, dump the stack and domain that did not have permission.
jar
Print JAR verification information.
policy
Print permissions that SecureClassLoader
assigns.
scl
For example, to print all checkPermission
results and trace all domains in context, set the java.security.debug
property to access,stack
. To trace access failures, set the property to access,failure
.
Example C-1 shows the output of a checkPermission
failure.
Example C-1 Program for checkPermission Failure
$ java -Djava.security.debug="access,failure"
MyApp
access denied (java.net.SocketPermission server.foobar.com resolve
)
java.lang.Exception: Stack trace
at java.lang.Thread.dumpStack(Thread.java:1158)
at java.security.AccessControlContext.checkPermission
(AccessControlContext.java:253)
at java.security.AccessController.checkPermission(AccessController.java:427)
at java.lang.SecurityManager.checkPermission(SecurityManager.java:532)
at java.lang.SecurityManager.checkConnect(SecurityManager.java:1031)
at java.net.InetAddress.getAllByName0(InetAddress.java:1117)
at java.net.InetAddress.getAllByName0(InetAddress.java:1098)
at java.net.InetAddress.getAllByName(InetAddress.java:1061)
at java.net.InetAddress.getByName(InetAddress.java:958)
at java.net.InetSocketAddress.<init>(InetSocketAddress.java:124)
at java.net.Socket.<init>(Socket.java:178)
at MyApp.main(MyApp.java:7)
For more information on java.security.debug
system property, see Troubleshooting Security from Java SE Security documentation.


It is a common use case to search for a set of event patterns, especially in case of data streams. Flink comes with a complex event processing (CEP) library which allows for pattern detection in event streams. Furthermore, Flink’s SQL API provides a relational way of expressing queries with a large set of built-in functions and rule-based optimizations that can be used out of the box.
In December 2016, the International Organization for Standardization (ISO) released a new version
of the SQL standard which includes Row Pattern Recognition in SQL
(ISO/IEC TR 19075-5:2016).
It allows Flink to consolidate CEP and SQL API using the MATCH_RECOGNIZE
clause for complex event
processing in SQL.
A MATCH_RECOGNIZE
clause enables the following tasks:
PARTITION BY
and ORDER BY
clauses.PATTERN
clause. These patterns use a syntax similar to
that of regular expressions.DEFINE
clause.MEASURES
clause.The following example illustrates the syntax for basic pattern recognition:
This page will explain each keyword in more detail and will illustrate more complex examples.
Attention Flink’s implementation of the MATCH_RECOGNIZE
clause is a subset of the full standard. Only those features documented in the following sections
are supported. Since the development is still in an early phase, please also take a look at the
known limitations.
The pattern recognition feature uses the Apache Flink’s CEP library internally. In order to be able
to use the MATCH_RECOGNIZE
clause, the library needs to be added as a dependency to your Maven
project.
Alternatively, you can also add the dependency to the cluster classpath (see the dependency section for more information).
If you want to use the MATCH_RECOGNIZE
clause in the
SQL Client, you don’t have to do anything as all the
dependencies are included by default.
Every MATCH_RECOGNIZE
query consists of the following clauses:
GROUP BY
operation.SELECT
clause.Attention Currently, the MATCH_RECOGNIZE
clause can only
be applied to an append table. Furthermore, it
always produces an append table as well.
For our examples, we assume that a table Ticker
has been registered. The table contains prices of
stocks at a particular point in time.
The table has a following schema:
For simplification, we only consider the incoming data for a single stock ACME
. A ticker could
look similar to the following table where rows are continuously appended.
The task is now to find periods of a constantly decreasing price of a single ticker. For this, one could write a query like:
The query partitions the Ticker
table by the symbol
column and orders it by the rowtime
time attribute.
The PATTERN
clause specifies that we are interested in a pattern with a starting event START_ROW
that is followed by one or more PRICE_DOWN
events and concluded with a PRICE_UP
event. If such
a pattern can be found, the next pattern match will be seeked at the last PRICE_UP
event as
indicated by the AFTER MATCH SKIP TO LAST
clause.
The DEFINE
clause specifies the conditions that need to be met for a PRICE_DOWN
and PRICE_UP
event. Although the START_ROW
pattern variable is not present it has an implicit condition that
is evaluated always as TRUE
.
A pattern variable PRICE_DOWN
is defined as a row with a price that is smaller than the price of
the last row that met the PRICE_DOWN
condition. For the initial case or when there is no last row
that met the PRICE_DOWN
condition, the price of the row should be smaller than the price of the
preceding row in the pattern (referenced by START_ROW
).
A pattern variable PRICE_UP
is defined as a row with a price that is larger than the price of the
last row that met the PRICE_DOWN
condition.
This query produces a summary row for each period in which the price of a stock was continuously decreasing.
The exact representation of the output rows is defined in the MEASURES
part of the query. The
number of output rows is defined by the ONE ROW PER MATCH
output mode.
The resulting row describes a period of falling prices that started at 01-APR-11 10:00:04
and
achieved the lowest price at 01-APR-11 10:00:07
that increased again at 01-APR-11 10:00:08
.
It is possible to look for patterns in partitioned data, e.g., trends for a single ticker or a
particular user. This can be expressed using the PARTITION BY
clause. The clause is similar to
using GROUP BY
for aggregations.
Attention It is highly advised to partition the incoming
data because otherwise the MATCH_RECOGNIZE
clause will be translated into a non-parallel operator
to ensure global ordering.
Apache Flink allows for searching for patterns based on time; either processing time or event time.
In case of event time, the events are sorted before they are passed to the internal pattern state machine. As a consequence, the produced output will be correct regardless of the order in which rows are appended to the table. Instead, the pattern is evaluated in the order specified by the time contained in each row.
The MATCH_RECOGNIZE
clause assumes a time attribute with ascending
ordering as the first argument to ORDER BY
clause.
For the example Ticker
table, a definition like ORDER BY rowtime ASC, price DESC
is valid but
ORDER BY price, rowtime
or ORDER BY rowtime DESC, price ASC
is not.
The DEFINE
and MEASURES
keywords have similar meanings to the WHERE
and SELECT
clauses in a
simple SQL query.
The MEASURES
clause defines what will be included in the output of a matching pattern. It can
project columns and define expressions for evaluation. The number of produced rows depends on the
output mode setting.
The DEFINE
clause specifies conditions that rows have to fulfill in order to be classified to a
corresponding pattern variable. If a condition is not defined for a pattern
variable, a default condition will be used which evaluates to true
for every row.
For a more detailed explanation about expressions that can be used in those clauses, please have a look at the event stream navigation section.
Aggregations can be used in DEFINE
and MEASURES
clauses. Both
built-in and custom
user defined functions are supported.
Aggregate functions are applied to each subset of rows mapped to a match. In order to understand how those subsets are evaluated have a look at the event stream navigation section.
The task of the following example is to find the longest period of time for which the average price
of a ticker did not go below certain threshold. It shows how expressible MATCH_RECOGNIZE
can
become with aggregations. This task can be performed with the following query:
Given this query and following input values:
The query will accumulate events as part of the pattern variable A
as long as the average price
of them does not exceed 15
. For example, such a limit exceeding happens at 01-Apr-11 10:00:04
.
The following period exceeds the average price of 15
again at 01-Apr-11 10:00:10
. Thus the
results for said query will be:
Note Aggregations can be applied to expressions, but only if
they reference a single pattern variable. Thus SUM(A.price * A.tax)
is a valid one, but
AVG(A.price * B.tax)
is not.
Attention DISTINCT
aggregations are not supported.
The MATCH_RECOGNIZE
clause allows users to search for patterns in event streams using a powerful
and expressive syntax that is somewhat similar to the widespread regular expression syntax.
Every pattern is constructed from basic building blocks, called pattern variables, to which operators (quantifiers and other modifiers) can be applied. The whole pattern must be enclosed in brackets.
An example pattern could look like:
One may use the following operators:
(A B)
means that the contiguity is strict between A
and B
.
Therefore, there can be no rows that were not mapped to A
or B
in between.*
— 0 or more rows+
— 1 or more rows?
— 0 or 1 rows{ n }
— exactly n rows (n > 0){ n, }
— n or more rows (n ≥ 0){ n, m }
— between n and m (inclusive) rows (0 ≤ n ≤ m, 0 < m){ , m }
— between 0 and m (inclusive) rows (m > 0)Attention Patterns that can potentially produce an empty
match are not supported. Examples of such patterns are PATTERN (A*)
, PATTERN (A? B*)
,
PATTERN (A{0,} B{0,} C*)
, etc.
Each quantifier can be either greedy (default behavior) or reluctant. Greedy quantifiers try to match as many rows as possible while reluctant quantifiers try to match as few as possible.
In order to illustrate the difference, one can view the following example with a query where a
greedy quantifier is applied to the B
variable:
Given we have the following input:
The pattern above will produce the following output:
The same query where B*
is modified to B*?
, which means that B*
should be reluctant, will
produce:
The pattern variable B
matches only to the row with price 12
instead of swallowing the rows
with prices 12
, 13
, and 14
.
Attention It is not possible to use a greedy quantifier for
the last variable of a pattern. Thus, a pattern like (A B*)
is not allowed. This can be easily
worked around by introducing an artificial state (e.g. C
) that has a negated condition of B
. So
you could use a query like:
Attention The optional reluctant quantifier (A??
or
A{0,1}?
) is not supported right now.
Especially for streaming use cases, it is often required that a pattern finishes within a given period of time. This allows for limiting the overall state size that Flink has to maintain internally, even in case of greedy quantifiers.
Therefore, Flink SQL supports the additional (non-standard SQL) WITHIN
clause for defining a time
constraint for a pattern. The clause can be defined after the PATTERN
clause and takes an
interval of millisecond resolution.
If the time between the first and last event of a potential match is longer than the given value, such a match will not be appended to the result table.
Note It is generally encouraged to use the WITHIN
clause as
it helps Flink with efficient memory management. Underlying state can be pruned once the threshold
is reached.
Attention However, the WITHIN
clause is not part of the
SQL standard. The recommended way of dealing with time constraints might change in the future.
The use of the WITHIN
clause is illustrated in the following example query:
The query detects a price drop of 10
that happens within an interval of 1 hour.
Let’s assume the query is used to analyze the following ticker data:
The query will produce the following results:
The resulting row represents a price drop from 15
(at 01-Apr-11 12:00:00
) to 1
(at
01-Apr-11 13:00:00
). The dropDiff
column contains the price difference.
Notice that even though prices also drop by higher values, for example, by 11
(between
01-Apr-11 10:00:00
and 01-Apr-11 11:40:00
), the time difference between those two events is
larger than 1 hour. Thus, they don’t produce a match.
The output mode describes how many rows should be emitted for every found match. The SQL standard describes two modes:
ALL ROWS PER MATCH
ONE ROW PER MATCH
.Currently, the only supported output mode is ONE ROW PER MATCH
that will always produce one
output summary row for each found match.
The schema of the output row will be a concatenation of
[partitioning columns] + [measures columns]
in that particular order.
The following example shows the output of a query defined as:
For the following input rows:
The query will produce the following output:
The pattern recognition is partitioned by the symbol
column. Even though not explicitly mentioned
in the MEASURES
clause, the partitioned column is added at the beginning of the result.
The DEFINE
and MEASURES
clauses allow for navigating within the list of rows that (potentially)
match a pattern.
This section discusses this navigation for declaring conditions or producing output results.
A pattern variable reference allows a set of rows mapped to a particular pattern variable in the
DEFINE
or MEASURES
clauses to be referenced.
For example, the expression A.price
describes a set of rows mapped so far to A
plus the current
row if we try to match the current row to A
. If an expression in the DEFINE
/MEASURES
clause
requires a single row (e.g. A.price
or A.price > 10
), it selects the last value belonging to
the corresponding set.
If no pattern variable is specified (e.g. SUM(price)
), an expression references the default
pattern variable *
which references all variables in the pattern. In other words, it creates a
list of all the rows mapped so far to any variable plus the current row.
For a more thorough example, one can take a look at the following pattern and corresponding conditions:
The following table describes how those conditions are evaluated for each incoming event.
The table consists of the following columns:
#
- the row identifier that uniquely identifies an incoming row in the lists
[A.price]
/[B.price]
/[price]
.price
- the price of the incoming row.[A.price]
/[B.price]
/[price]
- describe lists of rows which are used in the DEFINE
clause to evaluate conditions.Classifier
- the classifier of the current row which indicates the pattern variable the row
is mapped to.A.price
/B.price
/SUM(price)
/SUM(B.price)
- describes the result after those expressions
have been evaluated.| # | price | Classifier | [A.price] | [B.price] | [price] | A.price | B.price | SUM(price) | SUM(B.price) |
|---|---|---|---|---|---|---|---|---|---|
| #1 | 10 | -> A | #1 | - | - | 10 | - | - | - |
| #2 | 15 | -> B | #1 | #2 | #1, #2 | 10 | 15 | 25 | 15 |
| #3 | 20 | -> B | #1 | #2, #3 | #1, #2, #3 | 10 | 20 | 45 | 35 |
| #4 | 31 | -> B | #1 | #2, #3, #4 | #1, #2, #3, #4 | 10 | 31 | 76 | 66 |
| #5 | 35 | #1 | #2, #3, #4, #5 | #1, #2, #3, #4, #5 | 10 | 35 | 111 | 101 |
As can be seen in the table, the first row is mapped to pattern variable A
and subsequent rows
are mapped to pattern variable B
. However, the last row does not fulfill the B
condition
because the sum over all mapped rows SUM(price)
and the sum over all rows in B
exceed the
specified thresholds.
Logical offsets enable navigation within the events that were mapped to a particular pattern variable. This can be expressed with two corresponding functions:
| Offset functions | Description |
|---|---|
|
Returns the value of the field from the event that was mapped to the n-th last element of the variable. The counting starts at the last element mapped. |
|
|
Returns the value of the field from the event that was mapped to the n-th element of the variable. The counting starts at the first element mapped. |
For a more thorough example, one can take a look at the following pattern and corresponding conditions:
The following table describes how those conditions are evaluated for each incoming event.
The table consists of the following columns:
price
- the price of the incoming row.Classifier
- the classifier of the current row which indicates the pattern variable the row
is mapped to.LAST(B.price, 1)
/LAST(B.price, 2)
- describes the result after those expressions have been
evaluated.| price | Classifier | LAST(B.price, 1) | LAST(B.price, 2) | Comment |
|---|---|---|---|---|
| 10 | -> A | |||
| 15 | -> B | null | null | Notice that LAST(A.price, 1) is null because there is still nothing mapped
to B . |
| 20 | -> B | 15 | null | |
| 31 | -> B | 20 | 15 | |
| 35 | 31 | 20 | Not mapped because 35 < 2 * 20 . |
It might also make sense to use the default pattern variable with logical offsets.
In this case, an offset considers all the rows mapped so far:
| price | Classifier | LAST(price, 1) | Comment |
|---|---|---|---|
| 10 | -> A | ||
| 15 | -> B | ||
| 20 | -> C | 15 | LAST(price, 1) is evaluated as the price of the row mapped to the
B variable. |
If the second row did not map to the B
variable, we would have the following results:
| price | Classifier | LAST(price, 1) | Comment |
|---|---|---|---|
| 10 | -> A | ||
| 20 | -> C | 10 | LAST(price, 1) is evaluated as the price of the row mapped to the
A variable. |
It is also possible to use multiple pattern variable references in the first argument of the
FIRST/LAST
functions. This way, one can write an expression that accesses multiple columns.
However, all of them must use the same pattern variable. In other words, the value of the
LAST
/FIRST
function must be computed in a single row.
Thus, it is possible to use LAST(A.price * A.tax)
, but an expression like LAST(A.price * B.tax)
is not allowed.
The AFTER MATCH SKIP
clause specifies where to start a new matching procedure after a complete
match was found.
There are four different strategies:
SKIP PAST LAST ROW
- resumes the pattern matching at the next row after the last row of the
current match.SKIP TO NEXT ROW
- continues searching for a new match starting at the next row after the
starting row of the match.SKIP TO LAST variable
- resumes the pattern matching at the last row that is mapped to the
specified pattern variable.SKIP TO FIRST variable
- resumes the pattern matching at the first row that is mapped to the
specified pattern variable.This is also a way to specify how many matches a single event can belong to. For example, with the
SKIP PAST LAST ROW
strategy every event can belong to at most one match.
In order to better understand the differences between those strategies one can take a look at the following example.
For the following input rows:
We evaluate the following query with different strategies:
The query returns the sum of the prices of all rows mapped to A
and the first and last timestamp
of the overall match.
The query will produce different results based on which AFTER MATCH
strategy was used:
AFTER MATCH SKIP PAST LAST ROW
The first result matched against the rows #1, #2, #3, #4.
The second result matched against the rows #5, #6.
AFTER MATCH SKIP TO NEXT ROW
Again, the first result matched against the rows #1, #2, #3, #4.
Compared to the previous strategy, the next match includes row #2 again for the next matching. Therefore, the second result matched against the rows #2, #3, #4, #5.
The third result matched against the rows #3, #4, #5.
The forth result matched against the rows #4, #5, #6.
The last result matched against the rows #5, #6.
AFTER MATCH SKIP TO LAST A
Again, the first result matched against the rows #1, #2, #3, #4.
Compared to the previous strategy, the next match includes only row #3 (mapped to A
) again for
the next matching. Therefore, the second result matched against the rows #3, #4, #5.
The third result matched against the rows #4, #5, #6.
The last result matched against the rows #5, #6.
AFTER MATCH SKIP TO FIRST A
This combination will produce a runtime exception because one would always try to start a new match where the last one started. This would produce an infinite loop and, thus, is prohibited.
One has to keep in mind that in case of the SKIP TO FIRST/LAST variable
strategy it might be
possible that there are no rows mapped to that variable (e.g. for pattern A*
). In such cases, a
runtime exception will be thrown as the standard requires a valid row to continue the matching.
In order to apply some subsequent queries on top of the MATCH_RECOGNIZE
it might be required to
use time attributes. To select those there are available two functions:
| Function | Description |
|---|---|
MATCH_ROWTIME() |
Returns the timestamp of the last row that was mapped to the given pattern. The resulting attribute is a rowtime attribute that can be used in subsequent time-based operations such as time-windowed joins and group window or over window aggregations. |
MATCH_PROCTIME() |
Returns a proctime attribute that can be used in subsequent time-based operations such as time-windowed joins and group window or over window aggregations. |
Memory consumption is an important consideration when writing MATCH_RECOGNIZE
queries, as the
space of potential matches is built in a breadth-first-like manner. Having that in mind, one must
make sure that the pattern can finish. Preferably with a reasonable number of rows mapped to the
match as they have to fit into memory.
For example, the pattern must not have a quantifier without an upper limit that accepts every single row. Such a pattern could look like this:
The query will map every incoming row to the B
variable and thus will never finish. This query
could be fixed, e.g., by negating the condition for C
:
Or by using the reluctant quantifier:
Attention Please note that the MATCH_RECOGNIZE
clause
does not use a configured state retention time.
One may want to use the WITHIN
clause for this purpose.
Flink’s implementation of the MATCH_RECOGNIZE
clause is an ongoing effort, and some features of
the SQL standard are not yet supported.
Unsupported features include:
(A (B C)+)
is not a valid pattern.PATTERN((A B | C D) E)
, which means that either a subsequence
A B
or C D
has to be found before looking for the E
row.PERMUTE
operator - which is equivalent to all permutations of variables that it was applied
to e.g. PATTERN (PERMUTE (A, B, C))
= PATTERN (A B C | A C B | B A C | B C A | C A B | C B A)
.^, $
, which denote beginning/end of a partition, those do not make sense in the
streaming context and will not be supported.PATTERN ({- A -} B)
meaning that A
will be looked for but will not participate
in the output. This works only for the ALL ROWS PER MATCH
mode.PATTERN A??
only the greedy optional quantifier is supported.ALL ROWS PER MATCH
output mode - which produces an output row for every row that participated
in the creation of a found match. This also means:
MEASURES
clause is FINAL
CLASSIFIER
function, which returns the pattern variable that a row was mapped to, is not yet
supported.SUBSET
- which allows creating logical groups of pattern variables and using those groups in
the DEFINE
and MEASURES
clauses.PREV/NEXT
, which indexes all events seen rather than only those that were
mapped to a pattern variable (as in logical offsets case).MATCH_RECOGNIZE
is supported only for SQL. There is no equivalent in the Table API.


|
Project Name Becomes Title of Project
|
Switch between states so it only runs certain items when in the correct state States:Init,StartClick,MainScene,ThrowPitch,ThrowPitchDone,BallHit,BallNoHit,WaitForCollision,WaitForInput,Delay,ExitGame,StatsGot More...
Public Member Functions | |
| delegate void | gameEventHandler (int scoreMod) |
| Set up event. More... | |
| States | GetState () |
Public Attributes | |
| GameObject | endStats |
Static Public Attributes | |
| static GameController | gc = null |
| Used for singleton design pattern. More... | |
Events | |
| static gameEventHandler | pitchCompleted |
Private Member Functions | |
| void | Awake () |
| Implement Singleton Initialize StateMachine More... | |
| void | OnEnable () |
| Events we will listen for More... | |
| void | OnDisable () |
| void | Update () |
| Switch between states More... | |
| void | EventEasyButtonClicked () |
| Start Button was Clicked More... | |
| void | EventMediumButtonClicked () |
| void | EventHardButtonClicked () |
| void | EventExitButtonClicked () |
| Exit Button was clicked More... | |
| void | EventNextPitchButton () |
| Next Pitch Button Clicked TODO: Update to animation instead of reload scene More... | |
| void | HandleThrowPitch () |
| State Machine Logic for ThrowPitch More... | |
| IEnumerator | Timer (float time) |
| Co-routine implementing a simple Timer More... | |
| void | EventBallHit () |
| void | EventBallNotHit () |
| void | OnHitDistanceEvent (int distance, bool isFoul, bool isHomerun) |
| void | DisplayExitStats () |
| void | EventFlagButton () |
| void | EventPitchTypeButton () |
Private Attributes | |
| StateMachine< States > | gcFSM |
| Ball | ball |
| DisplayPitch | dsplyPitch |
| AudioClip | hit |
| AudioSource | audioS |
| UpdateStats | stats |
| GameObject | audioObject |
| GameObject | Strike |
| AudioSource | audioStrike |
| GameObject | Cheer |
| AudioSource | audioCheer |
| Animation | pitch |
| GameObject | Pitcher |
| GameObject | startmenu |
| GameObject | startmenubg |
| CanvasGroup | endStatsCanvas |
| List< HitStats > | hitStats = null |
| HitStats | hs = null |
| Ball | Send = null |
| Text | topStats1 |
| Text | topStats2 |
| Text | farthestHit |
| Text | averageHit |
| Text | battingAvgHit |
Switch between states so it only runs certain items when in the correct state States:Init,StartClick,MainScene,ThrowPitch,ThrowPitchDone,BallHit,BallNoHit,WaitForCollision,WaitForInput,Delay,ExitGame,StatsGot
Definition at line 38 of file GameController.cs.
|
private |
Implement Singleton Initialize StateMachine
Definition at line 74 of file GameController.cs.
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private |
Definition at line 318 of file GameController.cs.
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private |
Definition at line 289 of file GameController.cs.
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private |
Definition at line 296 of file GameController.cs.
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private |
Start Button was Clicked
Definition at line 214 of file GameController.cs.
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private |
Exit Button was clicked
Definition at line 242 of file GameController.cs.
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private |
Definition at line 373 of file GameController.cs.
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private |
Definition at line 231 of file GameController.cs.
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private |
Definition at line 223 of file GameController.cs.
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private |
Next Pitch Button Clicked TODO: Update to animation instead of reload scene
Definition at line 259 of file GameController.cs.
|
private |
Definition at line 387 of file GameController.cs.
| delegate void GameController.gameEventHandler | ( | int | scoreMod | ) |
Set up event.
| States GameController.GetState | ( | ) |
Definition at line 301 of file GameController.cs.
|
private |
State Machine Logic for ThrowPitch
<Wait for animation to play
Definition at line 267 of file GameController.cs.
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private |
Definition at line 139 of file GameController.cs.
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private |
Events we will listen for
Definition at line 121 of file GameController.cs.
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private |
Definition at line 306 of file GameController.cs.
|
private |
Co-routine implementing a simple Timer
| time | To get the ball to throw after a certain amount of time automatically |
Definition at line 284 of file GameController.cs.
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private |
Switch between states
Definition at line 156 of file GameController.cs.
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private |
Definition at line 59 of file GameController.cs.
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private |
Definition at line 55 of file GameController.cs.
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private |
Definition at line 53 of file GameController.cs.
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Definition at line 57 of file GameController.cs.
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private |
Definition at line 69 of file GameController.cs.
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Definition at line 50 of file GameController.cs.
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private |
Definition at line 69 of file GameController.cs.
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private |
Definition at line 58 of file GameController.cs.
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private |
Definition at line 51 of file GameController.cs.
| GameObject GameController.endStats |
Definition at line 64 of file GameController.cs.
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private |
Definition at line 65 of file GameController.cs.
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private |
Definition at line 69 of file GameController.cs.
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static |
Used for singleton design pattern.
Definition at line 47 of file GameController.cs.
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private |
Definition at line 49 of file GameController.cs.
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private |
Definition at line 52 of file GameController.cs.
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Definition at line 66 of file GameController.cs.
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Definition at line 67 of file GameController.cs.
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Definition at line 60 of file GameController.cs.
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Definition at line 61 of file GameController.cs.
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Definition at line 68 of file GameController.cs.
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Definition at line 62 of file GameController.cs.
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Definition at line 63 of file GameController.cs.
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Definition at line 54 of file GameController.cs.
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Definition at line 56 of file GameController.cs.
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Definition at line 69 of file GameController.cs.
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Definition at line 69 of file GameController.cs.
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static |
Definition at line 43 of file GameController.cs.


GONE FISHIN' A film review by Scott Renshaw Copyright 1997 Scott Renshaw
(Touchstone) Starring: Joe Pesci, Danny Glover, Rosanna Arquette, Nick Brimble, Lynn Whitfield. Screenplay: Jill Mazursky Cody and Jeffrey Abrams. Producer: Roger Birnbaum and Julie Bergman Sender Director: Christopher Cain. MPAA Rating: PG (mild profanity, violent situations) Running Time: 92 minutes. Reviewed by Scott Renshaw.
I was sitting next to a Laugher as I watched GONE FISHIN'. When I say "Laugher," I don't just mean someone who laughs loudly, or someone who laughs frequently. I mean someone who laughs loudly _and_ frequently. The most innocuous line of dialogue was greeted with a hearty chuckle, while a full-fledged sight gag inspired the kind of explosive bellow which I was certain would cause a loss of bladder control. If Disney had test-screened GONE FISHIN' for an audience comprised entirely of clones of this fellow, the champagne corks would have been popping like bubble wrap in the hands of a 10-year-old.
Under most circumstances, the Laugher would have annoyed me to distraction. In the case of GONE FISHIN', the distraction was welcome. The film's breathtaking awfulness forced my mind to wander in sheer self-defense, leading me to spend a lot of time thinking about what a splendid time the Laugher was having. As a critic, it is sometimes useful for me to confront how uniquely personal the movie-going experience can be, particularly when it comes to comedy. In my world, GONE FISHIN' was a complete catastrophe. In the Laugher's world, it was an unqualified delight.
There's certainly nothing inherently clever about the premise. Joe Pesci and Danny Glover play a couple of life-long pals named Joe Waters and Gus Green, who share a love of fishing and a talent for leaving heaping piles of rubble in their wake. And that, ultimately, is what GONE FISHIN' is about. Forget the contest which sends Joe and Gus to the Florida Everglades from their New Jersey home, forget the run-ins with a creepy con artist (Nick Brimble) and the search for his hidden loot, forget the cameos by Louise Fletcher and Willie Nelson (they'll certainly hope you do). GONE FISHIN' is about boats crashing through plate glass windows, exploding gas stations, exploding hotel rooms, and wild rides on runaway vehicles of every possible kind. In other words, it's in the tradition of the slapstick-y live-action comedies Disney made when Dean Jones and Kurt Russell were foiling the nefarious schemes of Joe Flynn and Cesar Romero in various permutations.
At least those concoctions were fast-paced and enthusiastically silly. For every two minutes of action in GONE FISHIN' there are at least twenty minutes of inane chatter between Pesci and Glover. The two are supposed to be lovable, incurably optimistic simpletons, but someone forgot to spend any script time on the "lovable" part.  They're like two long-lost Howard brothers, a pair of Stooges whose suburban upbringing bred most of the malice out of them and left them garrulous, well-intentioned accidental anarchists.
Thoughts of the Three Stooges led me back to the Laugher, and his enjoyment suddenly made a lot more sense. He was laughing at Joe and Gus because they were losers who managed to take con men and slick-talking salesmen down along with them. They were Everymen looking for a break, but they were also trouble-makers. The were rebels without a clue, making an id-level connection the way the Stooges have made id-level connections for sixty years. It's actually a bit of an insult to the Stooges to compare them to the ponderous shenanigans of Joe and Gus, except to note that the audience may find the mayhem similarly appealing. For the Laugher, Joe and Gus's adventures were a riotous 10+. The less Stooge-inclined may consider them nothing but a pair of foreheads waiting for a swinging two-by-four. Now _that_ would be comedy.
On the Renshaw scale of 0 to 10 fish shticks: 2.
Visit Scott Renshaw's MoviePage http://www-leland.stanford.edu/~srenshaw Subscribe to receive reviews directly via email
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


Class Optimizer
Base class for all the optimizers.
Inheritance
Namespace: TensorFlow
Assembly: TensorFlowSharp.dll
Syntax
public abstract class Optimizer
Constructors
Optimizer(TFGraph, String, Single, Single, Single)
Construct optimizer.
Declaration
public Optimizer (TensorFlow.TFGraph graph, string operName, float learningRate, float decay, float initialAccumulatorValue);
Parameters
| Type | Name | Description |
|---|---|---|
| TFGraph | graph | The graph object. |
| System.String | operName | Name of the operation. |
| System.Single | learningRate | The learning rate for the SGD update. |
| System.Single | decay | Learning rate decay over each update. |
| System.Single | initialAccumulatorValue | A floating point value. Starting value for the accumulators, must be >=0. |
Fields
_graph
The graph object. It is used for creating Ops through the construction of optimizer.
Declaration
protected readonly TensorFlow.TFGraph _graph;
Field Value
| Type | Description |
|---|---|
| TFGraph | To be added. |
_optimizerName
Name the optimization operation in the graph. All the operation will be created under this name scope.
Declaration
protected readonly string _optimizerName;
Field Value
| Type | Description |
|---|---|
| System.String | To be added. |
_updateOps
List to hold all the operations which are updated on each iteration of optimizer.
Declaration
protected readonly System.Collections.Generic.IList<TensorFlow.TFOperation> _updateOps;
Field Value
| Type | Description |
|---|---|
| System.Collections.Generic.IList<TFOperation> | To be added. |
Properties
Iterations
Varaible to keep track of number of iterations (mini-batch processed)
Declaration
public TensorFlow.Variable Iterations { get; }
Property Value
| Type | Description |
|---|---|
| Variable | To be added. |
LearningRate
Variable to keep track of the learning rate.
Declaration
public TensorFlow.Variable LearningRate { get; }
Property Value
| Type | Description |
|---|---|
| Variable | To be added. |
Methods
ApplyGradient(ValueTuple<TFOutput,Variable>[])
Returns the ops to update the variables in the graph.
Declaration
public abstract TensorFlow.TFOperation[] ApplyGradient (ValueTuple<TensorFlow.TFOutput,TensorFlow.Variable>[] gradientsAndVariables);
Parameters
| Type | Name | Description |
|---|---|---|
| System.ValueTuple<TFOutput,Variable>[] | gradientsAndVariables | Gradient and Variable tuple. |
Returns
| Type | Description |
|---|---|
| TFOperation[] | To be added. |
ComputeGradient(TFOutput, Variable[], Boolean)
Computes the gradient of the trainable variables in the graph.
Declaration
public virtual ValueTuple<TensorFlow.TFOutput,TensorFlow.Variable>[] ComputeGradient (TensorFlow.TFOutput loss, TensorFlow.Variable[] varList = null, bool colocateGradientsWithOps = false);
Parameters
| Type | Name | Description |
|---|---|---|
| TFOutput | loss | The loss operation to compute the gradient on. |
| Variable[] | varList | list of variable to compute the gradients for. If null the gradient is computed for all the trainable variables in the graph. |
| System.Boolean | colocateGradientsWithOps | Place the gradient op on the same device as variable. |
Returns
| Type | Description |
|---|---|
| System.ValueTuple<TFOutput,Variable>[] | A list of (gradient, variable) pairs. Variable is always present, but
gradient can be |
CreateDecayOps(Single, TFOutput)
Create learning rate time decay operation.
Declaration
protected void CreateDecayOps (float decay, TensorFlow.TFOutput initialLearningRate);
Parameters
| Type | Name | Description |
|---|---|---|
| System.Single | decay | To be added. |
| TFOutput | initialLearningRate | To be added. |
InitMoments(ValueTuple<TFOutput,Variable>[])
Initialize the accumulators
Declaration
protected TensorFlow.TFOutput[] InitMoments (ValueTuple<TensorFlow.TFOutput,TensorFlow.Variable>[] gradientsAndVariables);
Parameters
| Type | Name | Description |
|---|---|---|
| System.ValueTuple<TFOutput,Variable>[] | gradientsAndVariables | To be added. |
Returns
| Type | Description |
|---|---|
| TFOutput[] | To be added. |
Minimize(TFOutput, Variable[])
Add operations to minimize loss
by updating var_list
.
This method simply combines calls `compute_gradients()` and
`apply_gradients()`. If you want to process the gradient before applying
them call `compute_gradients()` and `apply_gradients()` explicitly instead
of using this function.
Declaration
public virtual TensorFlow.TFOperation[] Minimize (TensorFlow.TFOutput loss, TensorFlow.Variable[] varList = null);
Parameters
| Type | Name | Description |
|---|---|---|
| TFOutput | loss | A |
| Variable[] | varList | list of variable to compute the gradients for. If null the gradient is computed for all the trainable variables in the graph. |
Returns
| Type | Description |
|---|---|
| TFOperation[] | An Operation that updates the variables. |


Bummed pedometers for this year's walking challenge aren't picking up anything when I ride my bike. I know it's not walking, but still...
5/10/2011, 2:13:12 PM
Favs: 0
Retweets: 0
link--- layout: tweet ---
Bummed pedometers for this year's walking challenge aren't picking up anything when I ride my bike. I know it's not walking, but still...
5/10/2011, 2:13:12 PM
Favs: 0
Retweets: 0
link


M3: Open Source Metrics Engine
Trusted by startups and the world’s largest companies
Monitorama 2018
Putting billions of timeseries to work at Uber with autonomous monitoring
"At a scale of 1.5 million datapoints ingested per second, it started getting very expensive to monitor our metrics and we had to turn down our replication factor (RF) to 2 on Cassandra. With M3DB, we were able to bring RF back to 3 while also cutting down significantly on hardware / storage costs."
Prateek Rungta
Uber
7x reduction in hardware footprint
Learn more about this caseM3 meetup
June 2020
"We have 5000 domestic Walmart stores that need monitoring, so we wanted a centralized solution that was cheaper than the obvious alternatives and scalable...With M3, the advantages are very good performance on writes and queries, it’s cost effective versus alternatives, and it scales linearly."
Ron Murphy
System Telemetry Architect, Walmart Labs
50k to millions of samples per second
Learn more about this caseM3 meetup
June 2020
"We needed a metrics stack to visualize, detect, and alert on the growing machine learning infrastructure that LinkedIn relies on to provide a best in class experience for its users."
Brian McQueen
SRE, LinkedIn
100k quorum writes per second for each lightweight client
Learn more about this caseFOSDEM 2020
Querying millions to billions of metrics with M3DB's inverted index
"When querying millions or billions of metrics, you want something flexible and sublinear in speed as the queries become longer and longer the more distinct values you have. This led us to the creation of M3DB’s inverted index."
Rob Skillington
CTO and Co-Founder of Chronosphere, Former Tech Lead at Uber
3 billion+ datapoints queried per second
Learn more about this caseMonitorama 2018
Putting billions of timeseries to work at Uber with autonomous monitoring
"At a scale of 1.5 million datapoints ingested per second, it started getting very expensive to monitor our metrics and we had to turn down our replication factor (RF) to 2 on Cassandra. With M3DB, we were able to bring RF back to 3 while also cutting down significantly on hardware / storage costs."
Prateek Rungta
Uber
7x reduction in hardware footprint
Learn more about this caseM3 meetup
June 2020
"We have 5000 domestic Walmart stores that need monitoring, so we wanted a centralized solution that was cheaper than the obvious alternatives and scalable...With M3, the advantages are very good performance on writes and queries, it’s cost effective versus alternatives, and it scales linearly."
Ron Murphy
System Telemetry Architect, Walmart Labs
50k to millions of samples per second
Learn more about this caseM3 meetup
June 2020
"We needed a metrics stack to visualize, detect, and alert on the growing machine learning infrastructure that LinkedIn relies on to provide a best in class experience for its users."
Brian McQueen
SRE, LinkedIn
100k quorum writes per second for each lightweight client
Learn more about this caseFOSDEM 2020
Querying millions to billions of metrics with M3DB's inverted index
"When querying millions or billions of metrics, you want something flexible and sublinear in speed as the query’s become longer and longer the more distinct values you have. This led us to the creation of M3DB’s inverted index."
Rob Skillington
CTO and Co-Founder of Chraonosphere, Former Tech Lead at Uber
3 billion+ datapoints queried per second
Learn more about this caseWhat is M3
M3 is the obvious choice for Cloud Native companies looking to scale up their Prometheus based monitoring systems. M3 can be used as Prometheus Remote Storage and has 100% PromQL compatibility.
M3 was originally developed at Uber in order to provide visibility into Uber’s business operations, microservices and infrastructure. With its ability to horizontally scale with ease, M3 provides a single centralized storage solution for all monitoring use cases.
Global Scale
Proven at the largest scales in the world by storing 10s of billions of active metric time series.
Reliable
Three replicas of data with quorum writes and reads for consistency.
Highly Efficient
Optimized compression algorithm resulting in 11X compression ratio.
Performant
Proven in production to ingest more than one billion datapoints per second while serving more than two billion datapoint reads per second.
Compatible
Compatible with Prometheus, StatsD, and Carbon ingestion formats as well as PromQL and Graphite query languages.
Open & Community Focused
Open sourced under the Apache 2 license with a highly active community. Contributions welcomed.


Typealias GeometryCollection
public typealias GeometryCollection = [Geometry]
A heterogeneous composition of other Geometry
objects. For example, a Geometry
object in the shape of a lowercase roman "i" can be composed of one
Point
and one LineString
. Please try and avoid nested GeometryCollection
s to maximize interopability.
See RFC7946 Section 3.1.8 for more information.


openssl-kdf - perform Key Derivation Function operations
openssl kdf [-help] [-cipher] [-digest] [-mac] [-kdfopt nm:v] [-keylen num] [-out filename] [-binary] [-provider name] [-provider-path path] [-propquery propq] kdf_name
The key derivation functions generate a derived key from either a secret or password.
Print a usage message.
The output size of the derived key. This field is required.
Filename to output to, or standard output by default.
Output the derived key in binary form. Uses hexadecimal text format if not specified.
Specify the cipher to be used by the KDF. Not all KDFs require a cipher and it is an error to use this option in such cases.
Specify the digest to be used by the KDF. Not all KDFs require a digest and it is an error to use this option in such cases. To see the list of supported digests, use openssl list -digest-commands
.
Specify the MAC to be used by the KDF. Not all KDFs require a MAC and it is an error to use this option in such cases.
Passes options to the KDF algorithm. A comprehensive list of parameters can be found in the EVP_KDF_CTX implementation documentation. Common parameter names used by EVP_KDF_CTX_set_params() are:
Specifies the secret key as an alphanumeric string (use if the key contains printable characters only). The string length must conform to any restrictions of the KDF algorithm. A key must be specified for most KDF algorithms.
Specifies the secret key in hexadecimal form (two hex digits per byte). The key length must conform to any restrictions of the KDF algorithm. A key must be specified for most KDF algorithms.
Specifies the password as an alphanumeric string (use if the password contains printable characters only). The password must be specified for PBKDF2 and scrypt.
Specifies the password in hexadecimal form (two hex digits per byte). The password must be specified for PBKDF2 and scrypt.
This option is identical to the -digest option.
This option is identical to the -cipher option.
This option is identical to the -mac option.
See "Provider Options" in openssl(1), provider(7), and property(7).
Specifies the name of a supported KDF algorithm which will be used. The supported algorithms names include TLS1-PRF, HKDF, SSKDF, PBKDF2, SSHKDF, X942KDF-ASN1, X942KDF-CONCAT, X963KDF and SCRYPT.
Use TLS1-PRF to create a hex-encoded derived key from a secret key and seed:
openssl kdf -keylen 16 -kdfopt digest:SHA2-256 -kdfopt key:secret \
-kdfopt seed:seed TLS1-PRF
Use HKDF to create a hex-encoded derived key from a secret key, salt and info:
openssl kdf -keylen 10 -kdfopt digest:SHA2-256 -kdfopt key:secret \
-kdfopt salt:salt -kdfopt info:label HKDF
Use SSKDF with KMAC to create a hex-encoded derived key from a secret key, salt and info:
openssl kdf -keylen 64 -kdfopt mac:KMAC-128 -kdfopt maclen:20 \
-kdfopt hexkey:b74a149a161545 -kdfopt hexinfo:348a37a2 \
-kdfopt hexsalt:3638271ccd68a2 SSKDF
Use SSKDF with HMAC to create a hex-encoded derived key from a secret key, salt and info:
openssl kdf -keylen 16 -kdfopt mac:HMAC -kdfopt digest:SHA2-256 \
-kdfopt hexkey:b74a149a -kdfopt hexinfo:348a37a2 \
-kdfopt hexsalt:3638271c SSKDF
Use SSKDF with Hash to create a hex-encoded derived key from a secret key, salt and info:
openssl kdf -keylen 14 -kdfopt digest:SHA2-256 \
-kdfopt hexkey:6dbdc23f045488 \
-kdfopt hexinfo:a1b2c3d4 SSKDF
Use SSHKDF to create a hex-encoded derived key from a secret key, hash and session_id:
openssl kdf -keylen 16 -kdfopt digest:SHA2-256 \
-kdfopt hexkey:0102030405 \
-kdfopt hexxcghash:06090A \
-kdfopt hexsession_id:01020304 \
-kdfopt type:A SSHKDF
Use PBKDF2 to create a hex-encoded derived key from a password and salt:
openssl kdf -keylen 32 -kdfopt digest:SHA256 -kdfopt pass:password \
-kdfopt salt:salt -kdfopt iter:2 PBKDF2
Use scrypt to create a hex-encoded derived key from a password and salt:
openssl kdf -keylen 64 -kdfopt pass:password -kdfopt salt:NaCl \
-kdfopt n:1024 -kdfopt r:8 -kdfopt p:16 \
-kdfopt maxmem_bytes:10485760 SCRYPT
The KDF mechanisms that are available will depend on the options used when building OpenSSL.
openssl(1), openssl-pkeyutl(1), EVP_KDF(3), EVP_KDF-SCRYPT(7), EVP_KDF-TLS1_PRF(7), EVP_KDF-PBKDF2(7), EVP_KDF-HKDF(7), EVP_KDF-SS(7), EVP_KDF-SSHKDF(7), EVP_KDF-X942-ASN1(7), EVP_KDF-X942-CONCAT(7), EVP_KDF-X963(7)
Added in OpenSSL 3.0
Copyright 2019-2022 The OpenSSL Project Authors. All Rights Reserved.
Licensed under the Apache License 2.0 (the "License"). You may not use this file except in compliance with the License. You can obtain a copy in the file LICENSE in the source distribution or at https://www.openssl.org/source/license.html.


Example
/r/announcements
r/announcements
/u/reddit
u/reddit
https://www.example.com
Found on Wikipedia
Found on the English Wikipedia


?p
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The
University
of
Texas
Herbarium
(LL,
TEX)
Mentzelia
aspera
L.
Det:
B.
L.
Turner,
7
Feb
2001
INSTITUTE
OF
JAMAICA
FLORA
OF
JAMAICA
Parish:
ST.
CATHERINE
Name:
Mentzelia
aspera
L.
Locality:
O.3
mi.
SUi
of
Lousy
Bay
t
BOTANICAL
QARDe^L
New
York
Botanical
Garden
lbE350S
Altitude:
c.
50
ft*
Date:
22
November
1979
Habitat:
Notes:
Sprawling
herb,
flowers
yellow
Voucher
for
cancer
studies
Collector:
George
R.
Proctor
No.
38408
1623502
Legend -
Level of confidence that token is an accurately-transcribed word
extremely low
very low
low
undetermined
medium
high
very high


Bikes and Brews
Enjoy two of our favorite combos, bikes and brews!
Find your trails and breweries
Search by Zip
Use my location
Trails
1
2
3
4
5
Breweries
1
2
3
4
5
×
Google Rating:
Address:
Hours:
×


@(user: models.users.User) @main("About",user){
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You are not banned from the Discord server.
Click the link below to rejoin, if you are still banned, please add
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Hi
final sound sketch final from Shanoka on Vimeo.
Application of FSM from Shanoka on Vimeo.
Co-Creation in Restaurants from Shanoka on Vimeo.


Editing "Rewrite"
# Controller::Rewrite The Controller::Rewrite layer can match and rewrite requests before they processed. This allows you to handle URLs like `/post/15/view` or `/blog/123-pictures-of-my-cat` easily. The basic rewrite operation is to extract some part of the path and optionally executes a block. That means that the path is modified before being passed on to the next layer in the controller, and controller instance variables may be set. ## Regular Expressions In your `controller.rb`: ```ruby prepend Rewrite, Actions rewrite.extract_prefix permalink: /(?<id>\d+)-(?<title>.*)/ do |request, path, match| # The rewrite matched, but there was no valid post, so we fail: fail! unless @post = Post.find(@permalink[:id]) # If the path matched, but there was no suffix, we make it default to the post action: if match.post_match.empty? match.post_match.components << "post" end end on 'post' do # You can do further processing here. fail! unless @post.published? @comments = @post.comments.first(5) end on 'edit' do # You can do further processing here. fail! unless @current_user&.editor? end ``` In your `post.xnode`, as an example: ```trenni <content:page> <content:heading>Post #{attributes[:permalink][:id]} about #{attributes[:permalink][:title]}</content:heading> <p>#{attributes[:post].content}</p> </content:page> ``` Keep in mind, that URLs like `/123-pictures-of-my-cat/edit` will work as expected, and hit the `edit` action of the controller. ## Restful Resources Similar to the above, if we were solely interested in IDs, we could do the following: ```ruby prepend Rewrite, Actions rewrite.extract_prefix post_id: Integer do |request, path, match| # The rewrite matched, but there was no valid post, so we fail: fail! unless @post = Post.find(@post_id) # If the path matched, but there was no suffix, we make it default to the post action: if match.post_match.empty? match.post_match.components << "post" end end ``` This will only match complete integers. Assuming this code is in `/blog/controller.rb`, it would match something like `/blog/123/view` and assign Integer("123") to @post_id. ### Matching.. other things It's possible to match using Integer, Float, String, and you can provide your own class which will be instantiated. If it doesn't match, raise an exception and the rewrite rule will fail.


I'm Jovana Martic. 22 years old.
Communication design student at Polimi
I love music and art. I'm sociable, but I love solitude. When I grow up I want to be an art director.
Born in Belgrade (Serbia) Grown in Perugia (Italy) Based in Milan.


Enter the idea details here and we will help you find partner
Search for companies to invest or become co founder.


Disables warning messages about expectations being set on nil.
By default warning messages are issued when expectations are set on nil. This is to prevent false-positives and to catch potential bugs early on.
# File lib/rspec/mocks/example_methods.rb, line 49 def allow_message_expectations_on_nil Proxy.allow_message_expectations_on_nil end
@overload double() @overload double(name) @overload double(stubs) @overload double(name, stubs) @param name [String/Symbol] (optional) used in
clarify intent
@param stubs (Hash) (optional) hash of method/return-value pairs @return (Mock)
Constructs an instance of [RSpec::Mocks::Mock](RSpec::Mocks::Mock) configured with an optional name, used for reporting in failure messages, and an optional hash of method/return-value pairs.
@example
book = double("book", :title => "The RSpec Book") book.title #=> "The RSpec Book" card = double("card", :suit => "Spades", :rank => "A") card.suit #=> "Spades" card.rank #=> "A"
# File lib/rspec/mocks/example_methods.rb, line 30 def double(*args) declare_double('Double', *args) end
Hides the named constant with the given value. The constant will be undefined for the duration of the test.
Like method stubs, the constant will be restored to its original value when the example completes.
@param constant_name [String] The fully qualified name of the constant.
The current constant scoping at the point of call is not considered.
@example
hide_const("MyClass") # => MyClass is now an undefined constant
# File lib/rspec/mocks/example_methods.rb, line 106 def hide_const(constant_name) ConstantMutator.hide(constant_name) end
Effectively an alias for [double](double-instance_method).
# File lib/rspec/mocks/example_methods.rb, line 35 def mock(*args) declare_double('Mock', *args) end
Effectively an alias for [double](double-instance_method).
# File lib/rspec/mocks/example_methods.rb, line 40 def stub(*args) declare_double('Stub', *args) end
Stubs the named constant with the given value. Like method stubs, the constant will be restored to its original value (or lack of one, if it was undefined) when the example completes.
@param constant_name [String] The fully qualified name of the constant. The current
constant scoping at the point of call is not considered.
@param value [Object] The value to make the constant refer to. When the
example completes, the constant will be restored to its prior state.
@param options [Hash] Stubbing options. @option options :transfer_nested_constants [Boolean, Array<Symbol>] Determines
what nested constants, if any, will be transferred from the original value of the constant to the new value of the constant. This only works if both the original and new values are modules (or classes).
@return [Object] the stubbed value of the constant
@example
stub_const("MyClass", Class.new) # => Replaces (or defines) MyClass with a new class object. stub_const("SomeModel::PER_PAGE", 5) # => Sets SomeModel::PER_PAGE to 5. class CardDeck SUITS = [:Spades, :Diamonds, :Clubs, :Hearts] NUM_CARDS = 52 end stub_const("CardDeck", Class.new) CardDeck::SUITS # => uninitialized constant error CardDeck::NUM_CARDS # => uninitialized constant error stub_const("CardDeck", Class.new, :transfer_nested_constants => true) CardDeck::SUITS # => our suits array CardDeck::NUM_CARDS # => 52 stub_const("CardDeck", Class.new, :transfer_nested_constants => [:SUITS]) CardDeck::SUITS # => our suits array CardDeck::NUM_CARDS # => uninitialized constant error
# File lib/rspec/mocks/example_methods.rb, line 90 def stub_const(constant_name, value, options = {}) ConstantMutator.stub(constant_name, value, options) end
Generated with the Darkfish Rdoc Generator 2.


{% load i18n %}
{% blocktrans %} {{PRODUCT_NAME}} supports closing review requests that are referenced in commit messages for any changes pushed to this repository. These references are in the form of: {% endblocktrans %}
Reviewed at {{example_url}}
{% trans "Or:" %}
Review Request #{{example_id}}
{% blocktrans %} To configure this, add a new WebHook to your Bitbucket repository and provide the following: {% endblocktrans %}
| {% trans "Title:" %} |
{% blocktrans %}
{{PRODUCT_NAME}}
(or any other name you want to give this)
{% endblocktrans %}
|
|---|---|
| {% trans "URL:" %} | {{webhook_endpoint_url}} |
| {% trans "Triggers:" %} | {% trans "Repository push" %} |
{% blocktrans %} Then click Save. You're done! {% endblocktrans %}


French film review: Le septième ciel
by Charles Egert
The title of Benoit Jaquot's `Le Septième Ciel' refers to the ultimate degree of happiness. In this case it is synonymous with having an orgasm. Think of the song lyrics which go something like `I'm in heaven'. The film is a comedy. In the tradition of comedies an obstacle of some sort usually stands in the way obscuring the unerring happiness of a couple. This may just lead to temporary misunderstanding although it can even sometimes threaten the stability of the couple. One of the member's of the couple suffers, or each takes a turn at it. The problem in this film is that we never really are allowed to believe for a second that the couple's bourgeois Parisian existence really is threatened, so the acuteness of the comedy is lessened.
For a while in his films Benoit Jacquot has been concentrating via very original stories on telling us about young women's lives. He is quite good at creating novel situations for characters but less good at narrating a significant episode of their lives effectively. In La Désenchantée, for instance, a very young woman has been seriously propositioned by a much older man who is in a position to support her and all the members of her family who are fatherless and soon to be motherless as well. In the crucial scene where we see the older man coming towards her dressed only in his robe she hurriedly utters her acceptance, then faints.
In his new film Jacquot has gotten a good performance from the two leading actors as well as three or four supporting roles. The wife is a public `huissier' (sort of notary) who works in partnership with her mother, having lost her father at an early age. This turns out to be key since as the film opens she is going through a period of crisis. At twenty-nine Mathilde is exactly the same age as her father at his death. The scenes where her symptoms are enacted take place in a public space, which unfortunately is filmed less convincingly than it should be. There is in these artificially filmed scenes no whiff of the real life of Paris streets. I am recalling what Rohmer at least used to do in some scenes where we could see traffic circulating on foot or by car in the background as a vital piece of the story unfolded usually thanks to a perfectly natural dialog. The spectator was allowed to be there, to feel as well as hear the hum of traffic. We could look away, allowing ourselves to be distracted, but the characters had something usually revealing, even vitally important, to say.
The couple here is in no way under a threat, it's rather like an heirloom has been displaced in the meticulous accounting of Mathilde's professional life. She decides to look for it. The wife's lack of feelings in bed is not totally debilitating to the life of the couple, as one graphic bedroom scene makes clear. They have a cute child of seven and are more than moderately successful by Parisian standards, another major difference from Rohmer's films. If we think of the treatment Rohmer made of a party scene in `La nuit de la pleine lune' we can see some telling differences of camerawork. Rohmer's party was an occasion for the actors bodies to have a total value like in dance whereas during the party sequence in Jacquot's film everything is darkish with an occasional bright flash of clear light. This is perhaps meant to highlight the heroine's brief first encounter with a hypnotist who is going to affect her destiny. The camera focuses on his face and the sideways glances he gives her. The camerawork is one thing, however, which has made Jacquot an interesting filmmaker for me. In addition Sandrine Kiberlain does a good job as a woman who is uncomfortable with her sexuality if not exactly with her sexual identity. After several visits to the hypnotist's her arms dance and sway and we notice her whole body moving more sensually.
But the details in the story are afterthoughts which seem to come later, to affix themselves onto a plot that is too spare and too classical. Nico's marital infidelity is treated in such a way that we don't understand if this is something new which is done out of desperate vanity or on the contrary an illustration of the two-bit psychological wisdom exchanged in a cafe in the previous scene. It all boils down to the dictum that love is not sex, so sex is not the plus ultra, not the real betrayal of the love within the unit formed by the couple and including their son. The problem is that we never doubted it for an instant. So when Mathilde smirks reproachfully at her husband `Sex is all you think about', while sending him on one wild goose chase after another, the suspense and the comic relief consequently are in short supply. Also the causes of Mathilde's problem in bed appear and disappear, almost without anguish. Vincent Lindon's Nico is also less convincing. The film ends on a fadeout while Nico begins to learn to overcome his guilt over what we used to call handicapped sex and which beforehand constituted the sexual status quo within his couple.
And then the images don't always inform as much as they should. For instance there is ring in the story that is used as a type of potlatch, which symbolizes an obligation to the gift-giver by the receiver of the gift. We are obviously supposed to guess according to this gage how far towards sexual infidelity with her hypnotist Mathilde has really gone. This is finely measured, and an acute discernment on Jacquot's part becuse it, the ring, is an hierloom if not the hierloom, but I am not sure I understood an image meant to solve the enigma or could even formulate my opinion on the question. On the other hand there is a scene at home where 29-year old Mathilde is in her bath and which wonderfully illustrates the animal attraction she exercises on her family, both father and son. Christian Vincent in his film `La Séparation' was, however, more successful in my opinion in creating an intimate sense of what it is like to live in a real Parisian apartment, with pastels colors and occasional half-done projects cluttering up desks and other places. Here everything is neat and clean, even the kitchen at dinnertime, the walls are white, the prints and wall hangings uninformative as far as I could tell. Is this all supposed to show Mathilde's inner state before the film? If that is so why the warm steamy intimacy of the bath scene, and why is Nico, her husband, so irreversibly stuck on her?  Her behavior in bed gives him an excuse to cheat on her with nurses.
Finally, this film is a comedy so it is meant to have a moral the audience will find delightful. At the beginning of the film we have the three-quarter image of Mathilde wandering the street in a daze. Her body is out of focus and, as the camera focuses better, the resolution begins rather by the people in the background, passers-by who seem to be moving one step ahead of her. At the end she catches up with everybody else and, even though she surpasses her husband, she has enough patient humor to wait until he is able to appreciate her new sensuality. And once again the light are dimmed so the audience can appreciate the lesson too.
Ch. EGERT e-mail<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


| Data characteristics | Multivariate time series | Type of building(s) | Residential | Date | 2006-2010 |
| Type of attributes | Real numbers | Number of buildings | 1 | Duration | 47 months |
| Level of detail | whole building, circuit level | Location of buildings | France | Sampling frequency | minutely |
The data set can be downloaded from this link
The data are provided in one csv format file. There exist a 1,25 percent of missing data which are presented by blank spaces in dataset.
Date
Time
Global_active_power: household global minute-averaged active power (kW)
Global_reactive_power: household global minute-averaged reactive power (kW)
Voltage: averaged over a minute (V)
Global_intensity (A)
Sub_metering_1 (Wh) this sub metering includes kitchen appliances
Sub_metering_2 ( Wh) this sub metering includes washing-machine, a tumble-drier, a refrigerator and a light.
sub_metering_3: ( Wh) this sub metering includes an electric water-heater and an air-conditioner.
K. L. Bache, M. UCI Machine Learning Repository , Irvine, CA: University of California, School of Information and Computer Science. [Online]. Available: http://archive.ics.uci.edu/ml/datasets/Individual+household+electric+power+consumption
Hebrail, G. & Berard, A. Individual household electric power consumption Data Set (2012). URL http://bit.ly/1byLbr0.


List of Products
T-Shirt
Laptop
Fasttrack Watch
Bag
Power Bank
Jacket
Wallet
Shoes
Shopping Cart
Drag you Items Here


ZTS on AWS connection failure
On-prem ZTS Server {0} failed to receive temporary AWS credentials From Cloud ZTS:
| PROVIDER-AWS-ZTS |
DOMAIN |
ROLE |
EXPIRATION |
ERROR |
Please take immediate action to resolve the error
For additional support, please contact
{3}


Welcome to Imaginary Island Resort
Learn about:
Accommodations
Activities
Travel Arrangements
Pictures
Contact Information


Rekha
About
An engineer, who believes in following the footsteps of great personalities and draw inspirations from their works. She is passionate about changing the world through great technology products.
Motto
“If you can dream it, you can do it. Though becoming unique is a difficult challenge, it can be beaten by knowledge. Never stop fighting till you succeed.
Goals (short term)
- Building a high tech school for undeprivileged
- Building a veterinary hospital in memory of Tuffy
- Embrace failure
- Be creative, righteous by heart and courageous
- Trusting myself to take decisions
- Be more dedicated to making solid achievements than in running after swift but synthetic happiness
Dreams (long term)
- Life is too short for long term goals
Role Models
Walt Disney, Steve Jobs, Elon Musk, Bill Campbell, Bill Gates, A. P. J. Abdul Kalam, Howard Schultz, Jim Collins, Sheryl Sandberg, Warren Buffett, Cher Wang, Masayoshi Son, Tadashi Yanai, Reid Hoffman, Peter Thiel, Paul Graham, Seth Godin, Steve Blank, Jeff Bezos.
Photo Credit: Pixar's La Luna


Crazy example
Example 1
Example 2
Example 3
Camera Controller:
Current value:
Health of player
Current value:


[dscrdeql] <Linkara6669-Mod> I work at the Minnesota State Fair. I will be working overnights 5pm to 5am getting everything cleaned up around the fair
[dscrdeql] <Linkara6669-Mod> so i will probably be a bit of a ghost for the next 2 weeks
[dscrdeql] <AndronicusBass-Founder> I would love a job like that just to be around the atmosphere you enjoying it or meh?
[dscrdeql] <Linkara6669-Mod> most of the time it is a lot of fun
[dscrdeql] <Linkara6669-Mod> overnights drag though
[dscrdeql] <Linkara6669-Mod> after about 9 or 10pm it starts to drag a bit. plus side to overnights, you are guaranteed the full 12 hours, so i work till "5am", or whenever the work is finished, which could be 3am some nights
GatewayBOT19-Aug-18 03:16 PM
[dscrdeql] <AndronicusBass-Founder> Gotta love the night shifts. I'm a casual safety inspector on mining sites, 6pm to 6am. I prefer nights personally
[dscrdeql] <Linkara6669-Mod> that sounds interesting
[dscrdeql] <Linkara6669-Mod> I'm fine with overnights. just gets hard going from days to then even longer night shifts, and then back to days 2 weeks later lol
[dscrdeql] <AndronicusBass-Founder> Constantly it wears you out for sure.  There's a mine near me that pays well but I don't really think I'd fit well as a miner lol
[dscrdeql] <MySoulisNotForSale> as long as it's a bitcoin mine
[dscrdeql] <KQweci-Mod> Haha I am sure it's a bitcoin mine
[dscrdeql] <KQweci-Mod> It will be a gold mining site
[dscrdeql] <ECA Gorillaz> Yeah they mine gold and copper near me I think
[dscrdeql] <KQweci-Mod> Oh I see
[dscrdeql] <KQweci-Mod> I've done illegal mining here in the past. It's very common here where I come from. There are millions of chinses here doing illegal mining
[dscrdeql] <ECA Gorillaz> Probably made bank lol
[dscrdeql] <KQweci-Mod> Not really cuz we got catch in the progress
[dscrdeql] <ECA Gorillaz>
[dscrdeql] <ECA Gorillaz> That sucks lol
[dscrdeql] <KQweci-Mod> It's a high risk thing to do here.  Country boy at heart I be
[dscrdeql] <KQweci-Mod> Like a cali country boy style
GatewayBOT19-Aug-18 04:16 PM
[dscrdeql] <Jonathan-Mod> Afternoon folks
[dscrdeql] <KQweci-Mod> Afternoon @Jonathan-Mod
[dscrdeql] <SwimedDragon> Good afternoon Jonathan
[dscrdeql] <Jonathan-Mod>
[dscrdeql] <KQweci-Mod>
[dscrdeql] <ghost> Time to beer!
[dscrdeql] <slipersty> Hello @Linkara6669-Mod
GatewayBOT19-Aug-18 04:43 PM
[dscrdeql] <Jonathan-Mod> @Jellysmash your last video was freakin awesome
Equaliser: Bringing the Blockchain Home Summary: Equaliser is a Blockchain based solution that aims to provide affordable, strong, energy efficient and beaut...
GatewayBOT19-Aug-18 05:00 PM
[dscrdeql] <DaylightHours> Hello slackers
[dscrdeql] <DaylightHours> Long time
[dscrdeql] <Jonathan-Mod> Howdy @DaylightHours
GatewayBOT19-Aug-18 05:54 PM
[dscrdeql] <Cryptoon> ola
GatewayBOT19-Aug-18 06:33 PM
[tlgrm] <Stevenjames91> Went from 50 eth to 300 eth in 1 week with ICO's so happy right now
[dscrdeql] <Combat Wombat> good night guys have a great day :EQLI:
[dscrdeql] <Jonathan-Mod> Goodnight wombat of combat
[dscrdeql] <Cryptoon> Nighty night
[dscrdeql] <Cryptoon> Mr wombat
[dscrdeql] <Cryptoon>
GatewayBOT19-Aug-18 06:58 PM
[dscrdeql] <KQweci-Mod> Goodnight and sound sleep
GatewayBOT19-Aug-18 07:07 PM
[dscrdeql] <x2maano> night
GatewayBOT19-Aug-18 07:20 PM
[dscrdeql] <Cryptoon> Nighty night
[dscrdeql] <Podmaster> night ti you
[dscrdeql] <ghost> night
[dscrdeql] <Jellysmash> morning all
[dscrdeql] <Jellysmash>
[dscrdeql] <Jellysmash> time to wake up and smell the coffee
[dscrdeql] <MassimoStyle> Good morning @Jellysmash
[dscrdeql] <Jellysmash> hi @MassimoStyle
[dscrdeql] <Jellysmash> gonna be a good day today
[dscrdeql] <NWhiskeyTango> I hope so too!
[dscrdeql] <micaine10> Hi
[dscrdeql] <Jellysmash> Hey there @micaine10
[dscrdeql] <MassimoStyle> Yes... going to be a great day
[dscrdeql] <MassimoStyle> I’m already having a great day.
[dscrdeql] <MassimoStyle> On vacation at Vermont!
[dscrdeql] <MassimoStyle> Lovely place!
[dscrdeql] <Jonathan-Mod> What is Vermont known for? For a sec I thought it was cheese lol - glad you're enjoying yourself @MassimoStyle
Equaliser: Bringing the Blockchain Home Summary: Equaliser is a Blockchain based solution that aims to provide affordable, strong, energy efficient and beaut...
[dscrdeql] <Jellysmash> @MassimoStyle sounds good
[dscrdeql] <Jellysmash> Nice being on holidays
[dscrdeql] <CowboyCrypto- Founder> Vermont is gorgeous
GatewayBOT19-Aug-18 09:27 PM
[dscrdeql] <Jellysmash> Haven't been
[dscrdeql] <Jellysmash> Would like to one time
[dscrdeql] <Jellysmash> One day
[dscrdeql] <Jellysmash> On the bucket list
[dscrdeql] <Jellysmash> So many great places in the world to visit
[dscrdeql] <Jellysmash> Pity travel is so expensive
[dscrdeql] <Jellysmash> Haven't been to Puerto Rico before either.
[dscrdeql] <Jellysmash> Like to go there as well
[dscrdeql] <Jellysmash> It's expensive traveling with four kids
GatewayBOT19-Aug-18 09:47 PM
[dscrdeql] <ghost> good night
[dscrdeql] <Jellysmash> good night there @ghost
[dscrdeql] <Jellysmash> chat later dude
GatewayBOT19-Aug-18 10:09 PM
[dscrdeql] <NWhiskeyTango> Vermont is known for being close to canada


{% load staticfiles %}
Proposals are now being accepted for PyData Seattle 2015. The event brings together analysts, scientists developers, engineers, architects and others from the Python data science community to discuss new techniques and tools for management, analytics and visualization of data. Presentation content can be at a novice, intermediate or advanced level. Talks will run 30-40 min and hands-on tutorials will run 90-120 min.
As a reminder, PyData presentations are intended to share knowledge and experience. We welcome talks letting attendees know how how you are using tools in your work, but discourage any proposals with the aim of selling a product.
If you are interested in presenting a talk or tutorial, we encourage your submission(s). To see the type of topics presented at previous PyData events, please look at our past conference sites at pydata.org or check out the videos on YouTube and Vimeo.
Talk and tutorial submissions require a bio and short abstract.
Past conference schedules can be viewed at http://pydata.org/events/.


Deuteronomy 34:5
So Moses the servant of the LORD died there in the land of Moab, according to the word of the LORD.


Date: May 8 to 12, 2018 Venue: Gorleaus building, Sterrewacht Leiden, Leiden Hosts/organizers: Steven Bos, Sebastiaan Haffert, David Doelman, Emiel Por Attendees:Click here to download Schedule:Click here to download
The goal for NYRIA2018 in Leiden was to connect young researchers in instrumentation and to stimulate
interaction and collaboration between participants. As well as to, show this
talented group of researchers what Leiden University and the Netherlands in general has to offer.
The workshop had 38 participants from 22 different institutes and 10 different countries spanning four continents.
On Monday, overseas attendees gathered at the hotel where the local organising committee escorted them, by bike, to Leiden
University. The workshop was kicked off with an introduction on Dutch astronomy, including the Netherlands Research School
for Astronomy (NOVA) and Leiden Observatory. Afterwards each participant gave an elevator pitch on their research. This was
meant as a short personal introduction. We thought it was important to let all participants give a short introduction at the beginning of
the workshop. This would let people know of each others work before their main presentation. This was especially helpful
for the participants who gave a presentation at the end of the week, as they could then already start talking with people
at the start of the workshop. We concluded the first day with a borrel and pizza dinner. The participants really enjoyed
the borrel and the pizza and felt that it was a good way to connect with other people in a more relaxed environment.
Attendees mingiling at a coffee break.
The first day was a great success where the participants could get to know each other. This was noticeable during Tuesday
morning where a majority of the people already started to discuss their research. We started the day with two rounds of
presentations from the participants of the workshop with a coffee break in between the two rounds. The presentations were
of high quality and very interesting as some people were immediately discussing ideas and collaborations during the coffee
break and lunch. After lunch we had two invited talks from staff members in astronomical instrumentation from
Leiden Observatory. The invited talks were a mix of a talk and a question- and-answers session, focused on how to build a
career in astronomical instrumentation. This was an important topic for us, as the NYRIA workshop was focused on connecting
and networking for the new generation of astronomical instrumentalists. We noticed that this was very well received by the
participants as they were very involved in the Q&A sessions. In the end we went over the scheduled time due to the amount
of questions. The day was concluded with a typical Dutch dinner at the Schaapsbel where all the international participants
were able to try dutch pancakes.
Attendees brainstorming during the hackathon session.
The Wednesday morning was filled with presentations by the participants. The afternoon was reserved for a hackthon.
The goal of this event was to brainstorm about new telescope concepts for the next generation of telescopes. This is
relevant as current technology is not sufficient to build telescopes larger than 40 meters, which is the size of the
telescopes currently in construction. To kick off the hackathon Prof. dr. Christoph Keller gave a presentation on how to
become a creative scientist and an introduction of the subject. We formed groups of approximately ten persons, each
supervised by one of the organisers of the workshop. Each group came up with unique and innovative solutions, which ranged
from large fiber bundles to interferometers in space, that were presented at the end of the afternoon. The day concluded
with a dinner at Proeflokaal Bregje, where in an informal setting more socialisation could take place.
Tour of ESA/ESTEC
On Thursday we started with the last round of talks by the participants. After the lunch we went to ESA/ESTEC with a rental
bus. The goal of the ESA/ESTEC visit was to showcase Dutch space- instrumentation efforts. Therefore we had a non-standard
talk and tour by the lead optical engineer at ESTEC in combination with a standard ESA introduction. Both were received very
well by the participants.
Offical workshop dinner
The Friday started with a presentation by Prof. dr. Tim de Zeeuw on the realization of large astronomical research
facilities. As being the former Director-General of the European Southern Observatory Prof. de Zeeuw could show his
unique hands-on experience on this subject. The many questions at the end of presentation demonstrated the high engagement
by the participants. The week concluded with a short summary of the workshop and an outlook to future workshops and the
organisation of NYRIA in general.
credit image: Mauricio Cabrales
Acknowledgments:
We at NYRIA would like to give a big thank you to our local organising commitee
Steven Bos,
David Doelman,
Sebastiaan Haffert and
Emiel Por.
These four went above and beyond in making NYRIA 2018 a wonderful and fruitful experience for all attendees.
We are very grateful for the time and effort they put into organising this meeting.


Fishing using the Chinese Fishing Nets in Kochi is another one of a kind experience. It is a unique and unusual method of fishing. Chinese Fishing Nets are fixed land installations. Operated from the shore, these nets are set up on bamboo and teak poles and held horizontally by huge mechanisms, which lower them into the sea. They are counter-weighed by large stones tied to ropes and tourists can also participate with fishermen in the fishing. The original Chinese fishing nets here originated from the court of Kublai Khan, a Mongolian King.


Salvia experiences are difficult to describe. For one thing, they vary so much from person to person, so I'd venture to say its not a good idea to build up expectations based on the experiences of others. The other big thing is that the salvia state of mind is so abstracted from reality that it seems like a dream long past now. But I do remember some details and feelings that I had.
Earlier today I finally received my long anticipated package of salvia. This was to be my second salvia experience, the first one being far too overwhelming to put into words.
First I put on Kruder and Dorfmeister on and dimmed the lights. picked out two of the larger and nicer looking leaves, grabbed my bong, and sat down in my bathroom. I loaded up the bowl and proceded to take a *giant* rip. My bong is a 3.5 footer, so it basically takes a whole bowl to fill it. I had to force myself to resist the bitter smoke and hold it in as I packed the second bowl. I exhaled and lit up another. I took a second hit and immediately began coughing and spitting all over myself. I dropped the bong and ran to rinse the fowlness out of my mouth. It tasted as if a pen had burst in my mouth. I was on the verge of panic, because I was all alone.
Suddenly I sensed a presence in the room with me, and I felt as if a nurse was telling me that it was just my imagination; that everything was okay. I instantly felt better. The nurse presence continued to help me out, telling me to drink some water and pick up my bong. She made me smile. After that she told me to get out of the bathroom and go paint. I walked into my room and plopped onto the familiar and friendly floor. The music was just a part of my mind, helping me function and telling me what to paint. The whole time I painted I could feel the presence of the nurse, sitting on my bed, watching me and smiling.
Anyway, I have gained a lot more respect for this drug. It is not something to be taken with a grain of salt, but it definitely should not be ignored. It is powerful but peaceful; detached but comfortable. I am still not sure if I was really choking on the smoke or simply hallucinating. Its not really as harsh as some people make it out to be, just somewhat bitter.
In conclusion, this drug helped me gain spiritual insight, (not to mention helped me paint something beautiful).
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


This absence of past research data on the development of the science, and majority of people who have been educated through a different philosophy of knowledge than what Ayurveda is based on, has led this system of health to be ridiculed as superstitious and ineffective when it is not so.
Having realized this problem, I collaborated remotely with a friend of mine, Dr. Eeshani
Bendale, an Ayurvedic practitioner and student in India, to apply innovation and design to
find new avenues for Ayurvedic researchers to explore. This would help the health practice
evolve to the stage at which modern medicine currently operates in India, in order to help
revive a culture which is on the verge of being lost.
This project was something I personally have wanted to work on for the past few years, but
never had a platform to do so before studying design. We used different user centered,
speculative and service design methodologies to understand problems, define the strategy,
and create a thought experiment to help researchers experiment in new ways.
Offering these solutions implied a cultural shift which would impact several businesses and
health practices. Using design to innovate was a fundamental change for Ayurvedic health
practitioners, it meant moving from proving that traditional medicines worked using
contemporary research protocols, to developing new research methodologies specific to
ayurvedic medicine and subsequently new information on how to better heal people.
Our approach was a 2 month deep dive into Ayurveda to understand the basics of the science. This involved studying the philosophies of Ayurveda, its history, current research methods, and understanding what doctors, patients, students and other stakeholders thought about it. This deep dive helped me understand basic diagnostic and treatment practices which my collaborator was already well versed with.
Involving the ayurvedic community during the design process paved the way for implementation. The
thought experiment was designed hand in hand with my collaborator from India . By working together,
we were able to leverage existing knowledge and understanding of Ayurvedic community and their
practice. We interviewed practitioners and students of both, modern medicine and ayurveda, mostly on
the phone or on messaging apps like Whatsapp. Interviews through messaging services gave better
insights than the ones on the phone. The extra time and space the interviewees had most likely
helped them reflect on the questions and articulate better in written form.
Additionally, involving different stakeholders through the service design process would reduce
resistance to change and facilitate implementation.
Studying the evolution of objects and their uses was the next step. We developed a process to simulate the evolution of medical devices after researching on how and why objects evolve. An instrument called patal koshti, used for processing zinc to make medicines, was taken through the timeline, incrementally modifying it to fulfill various requirements demanded from it at various stages in time, from the 1500s to the 2000s.
Prototyping this method allowed us to identify problems with this approach- this instrument
illustrated part of a vision for this alternate history, but was this process feasible for every
instrument?
Would speculation of this kind really be useful?
Evolving instruments in this manner, on pure speculation, would not be useful, given the intricacies
of creating medicines in Ayurveda, where every part of the instrument plays a physical and chemical
part in the process. It was the reason for the existence of these objects which needed to be
evolved, rather than evolving the instruments themselves in isolation.
Creating a workshop model for other ayurvedic practitioners and researchers made sense to get them involved. Leveraging the ridicule which Ayurveda faces in the Indian scientific would attract believers as well as skeptics to the table and start a discussion about what new can be done. Discussions like these needed to flow through the basic principles of Ayurveda, through a narrative of sorts, fluidly guiding researchers through the timeline, helping them explore. Such a narrative would also need to be falsifiable to harness ridicule, akin to a punching bag, which is intentionally made to be disproven in order to iteratively arrive at a new invention.
Choosing international trade and travel, we started exploring trade treaties and ship routes to get
an understanding of how international trade would have progressed in an uncolonized Indian
subcontinent. We developed empathy for Ayurvedic practitioners from the 16th Century, and tried to
research and imagine their lives before beginning a ship journey, while on board, and after reaching
a destination.
We then tried to understand how they would have maintained their health in these three situations,
what protocols they would have followed on these ships, and how new discoveries in these foreign
lands, relationships with natives, traded goods, and invention of new technologies would have been
assessed and adopted into Ayurveda.
The narrative was written in the form of health practices which Ayurveda would have developed at different stages in this alternate history. It includes rules on planning ship journeys according to seasonal variations in health, recipes for maintaining good health onboard and in various foreign lands using locally available ingredients, adoption of the microscope into ayurveda in a modified form, and recipes for creating medicines using new technologies and instruments. The narrative has deliberate empty spaces for researchers to use their own imagination on, by taking cues from the main body.