Simple information on using this application. Use links below or scroll down for more
information.
[Top]
Introduction
NCI Enterprise Vocabulary Services (EVS) provides terminology content, tools, and services
to NCI and the
biomedical research community.
EVS Explore Browser provides a consistent, user-friendly tool to browse, search and retrieve
content
from NCI Thesaurus (NCIt) and other medical terminologies. For information on new features and
known issues, see EVS
Explore Browser
change log.
This help file provides basic information about how to use the EVS Explore Browser effectively,
as well as links to
additional information elsewhere. The following typeface font conventions are used for
describing search and the
browser interface:
- Bold: Browser links, buttons, page tabs, and drop-down boxes.
- Fixed Width: Search strings.
- Italics: Concept terms.
[Top]
EVS Explore Welcome Page
When a user first visits the EVS Explore Browser, the experience begins with a welcome page
on which users will be
asked to accept the HHS notice regarding usage of government systems. Following the
acceptance of the HHS notice,
this page describes content available in this application as well as links to other useful
resources.
The functional features of the welcome page include the
Search Box (and search
controls),
features available from the header toolbar, including: direct link to the Hierarchy
view, metadata
Documentation pages, and access to this Help page.
[Top]
Using the Search Box
The Search Box is located in the upper left of the EVS Explore Browser welcome page.
You can also get to
the search box from the search results pages by clicking the New Search button. There
are a number
of controls that can be used to fine-tune searches.
- Input Box: Enter a string containing at least 3 characters that you want to
search for.
- Search is not case sensitive (e.g., aids will match
concepts containing aids,
Aids, and AIDS).
- There are no wildcard characters. All characters are matched literally (e.g.,
searching for Starts
With
NAT2* will
match NAT2*5 Allele but not NAT2 Gene).
- There is no need to surround search terms with quotes as they will be ignored
during the search.
- Searching can be done using one word or multiple words.
- The search is generally performed against the code, all of the names and
synonyms, all of the concept
definitions, and all of the property values. The indexing is designed so that
the most relevant data fields
are searchable and should produce results.
- Match type radio buttons determine how your search string (entered into the
Input Box) will be
matched.
- Contains is the default type. It performs a search that looks for any
words typed, favoring results
with more words matched and with words matched in order.
- Exact Match performs a search that looks for matches containing the exact
strings in the order they
were entered.
- Starts With performs a search that looks for matches starting with all of
the search words entered in
the specified order.
- Phrase performs a search that looks for matches containing all search
words entered in the specified
order (but does not require the match to be at the beginning of the concept or
an exact match). Searches in
this mode will also find all results returned by the same search using Exact
Match or Starts
With.
- Fuzzy performs a search that looks for any words typed and for fuzzy
variants of those words,
favoring results with more words matched, and with words matched in order.
- AND performs a search that looks for matches containing all of the words
that were entered in any
order.
- OR performs a search that looks for matches containing any of the words
entered. Searches in this
mode will also find all results returned by the same search using ALL.
- Source drop-down allows searches to be restricted to those concepts having a
synonym with "synonym
source"
matching one of the selected entries in the drop-down. For example, selecting CDISC will
only return concepts with a CDISC synonym
- Search button starts a search.
- New Search button resets all search parameters and returns to the Welcome Page.
- Terminology dropdown allows the user to choose which terminology to perform a search
in. Currently supported terminologies include:
- NCI Thesaurus (NCIt)
- NCI Metathesaurus (NCIm)
- Medical Dictionary for Regulatory Activities Terminology (MedDRA)
- Chemical Entities of Biological Interest (ChEBI)
- Gene Ontology (GO)
- The Human Genome Organisation's Gene Nomenclature Committee (HGNC)
[Top]
Search Results
When a search is performed, Search Results are displayed with some basic concept
information
and a link to load a dedicated view for just that one concept. Clicking this link opens that
view
in a new window. Other details:
- All matching concepts are returned.
- Results are listed from best match to weakest. For example, a Contains search on
Bone returns the exact match Bone at the top,
followed by concepts where one of two words match (e.g., Mouse Bone), followed by
concepts having less
relevance.
- The total number of search results found along with the search time in milliseconds is
shown at the top of the
search results table.
- When a search is performed, it looks for matches among a variety of fields found in the
concept, including the
preferred name of concept, the code, synonyms of the concept, the definitions of the
concept, and the property
values of the concept. For this reason, the results will include matches to data fields
other than the preferred
name of the concept.
- Search results are paged, with a default page size of 10. This can be adjusted using the
page size control found
at both the top and bottom of the search results table. The same control will also allow
you to navigate to the
next page of results (or the previous page where appropriate).
- By default, the search results table shows the highlights icon, the concept code, the
preferred name, synonyms,
and definitions. The Search Result Details drop-down can be clicked to reveal a
control that allows you
to select which of the data columns should be shown in the Search Results
display.
- The first column of the Search Results table contains an icon. When clicked, it
reveals a panel beneath
the
corresponding search result that shows highlighted portions of the concept that were
matched to the search text
provided.
- If a concept is retired, this will be indicated by the phrase "Retired Concept" next to
the name of the concept
in the Results listing.
- A New Search button appears in the upper right when you leave the results page to
view
Concept
Details
. Clicking that button will return you to the standard search view.
[Top]
Concept Details
Detailed information on a selected concept is shown when that concept code is clicked in the
Search
Results.
The concept detail view is loaded into a new tab for display.
The top of this view shows the preferred name and concept code along with an Open in
Hierarchy button.
Clicking on that button will open the hierarchy
view
.
The Concept Details page has a number of different tables showing different pieces of
information
about and associated with the given concept:
- The first table shows top level information about the concept, including the
preferred name, the display
name, the label, and the concept code.
- Definitions shows any concept definitions in a sortable table. This table
includes columns for the
definition text, the source of the definition, and any associated
attribution(s).
- Synonyms & Abbreviations shows all of the terms associated with this
concept in a sortable table.
This table includes columns for the term, the sub-source, the term type, the
sub-source code, and the
sub-source name.
- Other Properties shows other properties associated with the concept in a
sortable table. This table
includes columns for the property type and value. In some cases, property values
may be linked out to external
data sources that provide additional information about those values. For
example, a "CAS_Registry" property
will have its value linked out to https://chem.nlm.nih.gov
to
display the data attached to the identifier by the original source, in this case
an NIH ChemID.
- Maps To and Mappings show information about maps to other terminologies in
a sortable table.
This table includes columns for the target name, relationship to target, target term type,
target code, and
the target terminology (and the target terminology version if available).
- Parent Concepts shows basic information about parent concepts in a sortable
table. This table
includes columns for code and preferred name.
- Child Concepts shows basic information about child concepts in a sortable table.
This table includes
columns for code and preferred name.
- Role Relationships shows basic information about asserted or inherited role
relationships, pointing
from the current concept to other concepts in a sortable table. This table includes
columns for code and
preferred name.
- Associations shows basic information about associations pointing from the current
concept to other
concepts in a sortable table. This table includes columns for code and preferred name.
- Incoming Role Relationships shows basic information about asserted or inherited
role relationships,
pointing from other concepts to the current concept in a sortable table. This table
includes columns for code
and preferred name.
- Incoming Associations shows basic information about associations pointing from
other concepts to the
current concept in a sortable table. This table includes columns for code and preferred
name.
- Disjoint With shows basic information about disjointness assertions
between this concept and other
concepts.
[Top]
Subsets
The Subset Page of EVS Explore supports the browsing of subsets, which are flat lists
of member concepts intended for specific coding purposes.
The Subset Page is enabled by clicking on the Subsets link along the top
banner.
In this page, there is a hierarchical view of the available subsets. Clicking on the to the left of a subset entry expands the view
to show its children. The Expand All button near the page title will fully expand
the tree to reveal all available subsets within the hierarchy.
An individual subset can be selected by clicking on a row. This opens up a new window
containing the Subset Details View. This view provides some information about
the subset itself, including the code, the name, and the definition. If available, a link
to download the subset from the FTP site is also provided.
Below that is a table with details of the individual members of the subset. The exact format
of this table varies slightly across different subsets. It provides basic high-level
information about each member including information like the code, various names and synonyms,
and one or more definitions for that member. At the top of this table is a Search Box that can be used to restrict to only those member concepts
whose contents are matches to the search text provided. Click the Reset button to clear any search text and
retrieve the full list.
[Top]
Export Feature
Export functionality is available within Search Results, Concept Details
, and Subsets
pages using the Export button located in upper right of the EVS Explore application.
When the Export button is selected in the Search Results page, the application will
return an Excel file that includes all the concepts from the search, along with any search results details selected
by the user in the display (up to a maximum of 10000 results).
When the Export button is selected in the Concept Details
page, the application will return an Excel file that includes all information for the selected concept. In the
file, a worksheet is created for each section of the Concept Details
(Definitions, Synonyms, etc.).
When the Export button is selected in the Subsets
page, the application will return an Excel file that includes all the concepts and details displayed for the
selected subset.
[Top]
Hierarchy
The hierarchy page is enabled by clicking on the Open in Hierarchy button when viewing
Concept Details
or by clicking on the Hierarchy link in the top banner.
In this page, there is a Concept Hierarchy view along the left side of the display
opened
to reveal the full
path from the root level of the tree to the currently selected concept. The entry for the
current concept is
highlighted and all sibling concepts and ancestor concepts are also shown in as represented in
the hierarchy of the
terminology. The page will automatically scroll to the currently selected concept.
Clicking on the to the left of a concept in this
view triggers a call to look up and display its child concepts.
Clicking on a concept itself will change the focus of the display to that concept and load
the
corresponding
concept detail information for that concept on the right side of the display.
[Top]
Metadata Documentation
Along the top toolbar, there is a Documentation drop-down that when clicked reveals a
number of sub-entries
for the various kinds of metadata, including: Associations, Properties, Qualifiers, Roles,
Term Types, Sources, Synonym Types, and Definition Types.
Choosing any of these items loads a sortable two or three-column table with the codes,
names, and definitions of the metadata elements of the specified type.


function HasBounds: Boolean; virtual;
Descendants must set this to true, if sample bounds will be returned by GetSampleBounds.
[See also]


Giorgio Vasari and the Permutations of Design (p. 85-87) in Design and Truth by Robert Grudin
In this chapter, Grudin explores implications resulting from Visari helping to establish the Accademia del Disegno in 1563. What were the results of this? Do you think this event might have impacted the world into the 21st century? If not, why? If so, what could be current examples of the impact?


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| ELECTRICAL AND COMPUTER ENGINEERING | |||||
| WINTER Quarter 2016 COURSE LIST | |||||
| 1/15/2016 | |||||
| COURSE | TITLE | CR | FACULTY | DAYS/TIMES | ROOM |
| EE 210-01 | ELECT MEAS LAB | 1 | Singh | R 110-4PM | ETC248 |
| EE 210-02 | ELECT MEAS LAB | 1 | Goudnoor | W 610-9PM | ETC248 |
| EE 210-03 | ELECT MEAS LAB | 1 | Singh | M 610-9PM | ETC248 |
| EE 211-01 | ELECT CIRC LAB | 1 | Prajapati | M 110-4PM | ETC249 |
| EE 211-02 | ELECT CIRC LAB | 1 | Prajapati | T 110-4PM | ETC249 |
| EE 244 | DIGITAL ENGINEERING | 4 | Ghaforyfard | MW 1140AM-120PM | ETA332 |
| EE 246-01 | DIG LGC LAB | 1 | Zhang | T 110-4PM | ETC251 |
| EE 246-02 | DIG LGC LAB | 1 | Zhang | R 110-4PM | ETC251 |
| EE 246-03 | DIG LGC LAB | 1 | Prajapati | F 110-4PM | ETC251 |
| EE 304-01 | ELECT MACHINES | 4 | Abu-Jaradeh | MW 420-6PM | ETA209 |
| EE 304-02 | ELECT MACHINES | 4 | Abu-Jaradeh | MW 610-750PM | KHD4047 |
| EE 314 | ELECTROMGNTC EN CNV L | 1 | Abu-Jaradeh | T 610-9PM | ETA209 |
| EE 320 | ANALOG COMM SYS | 4 | Tabrizi | TR 950-1130AM | SHC240 |
| EE 321 | COMM LAB | 1 | Jalayer | W 610-9PM | ETB106 |
| EE 336 | ELECTRONICS | 4 | Tabrizi | TR 420-6PM | SHC240 |
| EE 340 | ELECTRONICS LAB II | 1 | Jalayer | R 610-9PM | ETC248 |
| EE 345 | MICROCOMP PROG | 4 | Lin | TR 130-310PM | ETC254 |
| EE 347 | COMP LGC DES | 4 | Zhang | MW 130-310PM | ETA332 |
| EE 360 | CNTRL SYS THEORY I | 4 | Tabrizi | MW 950-1130AM | SHC240 |
| EE 372 | DIG ELECTRONICS | 4 | Won | TR 1140AM-120PM | ETA209 |
| EE 413-01 | SYSTEMS ENGINEERING | 4 | Harris | MW 130-310PM | HDFC242 |
| EE 413-02 | SYSTEMS ENGINEERING | 4 | Koelsch | F 610-10PM | ETA332 |
| EE 424 | FIBER OPTICS | 4 | Mansour | TR 8-940PM | ETA227 |
| EE 432 | PWR TRANSM LINES | 4 | Jamehbozorg | TR 610-750PM | ETA227 |
| EE 433 | ELEC PWR SYS ANALYSIS | 4 | Shahverdi | TR 610-750PM | ETA226 |
| EE 434 | ELECTRMGNTC EN CONV | 4 | Habibi-Ashrafi | MW 610-750PM | ETA209 |
| EE 446 | EMBEDDED ARCHITECT. | 4 | Lin | TR 1140AM-120PM | KHB1007 |
| EE 448-01 | HDL DSGN & SIM LAB | 1 | Levine | T 110-4PM | ETC255G |
| EE 448-02 | HDL DSGN & SIM LAB | 1 | Zhang | M 320-6PM | ETC256 |
| EE 449-01 | COMPUTER ORG | 4 | Ghaforyfard | MW 130-310PM | ETC256 |
| EE 449-02 | COMPUTER ORG | 4 | Ghaforyfard | F 950AM-120PM | KHC4075 |
| EE 454-02 | ST:NASA SWARMATHON | 4 | Warter-Pere | TR 950-1130AM | ETC256 |
| EE 461 | DISCRETE-TIME CNTRL SYS | 4 | Rad | TR 420-6PM | ETB12 |
| EE 468-01 | CONTROL SYS LAB | 1 | Rad | M 110-4PM | ETC156 |
| EE 468-02 | CONTROL SYS LAB | 1 | Rad | R 130-420PM | ETC156 |
| EE 483 | POWER ELECTRONICS | 4 | Shahverdi | TR 420-6PM | ETA209 |
| EE 486 | BIOMED SIG PROC | 4 | Won | MW 130-310PM | ETC255D |
| EE 496B-01 | SENIOR DESIGN II | 3 | Nye | F 9-1120AM | PS158 |
| EE 496B-02 | Lab | 0 | Nye | T 8-940AM | ETA223 |
| EE 496B-03 | SENIOR DESIGN II | 3 | Nye | F 1140AM-120PM | ETA223 |
| EE 496B-04 | Lab | 0 | Nye | F 130-310PM | ETA223 |
| EE 513-01 | SYS ANALYSIS AND DSG | 4 | Harris | MW 1140AM-120PM | HDFC236 |
| EE 513-02 | SYS ANALYSIS AND DSG | 4 | Harris | TR 1140AM-120PM | HDFC240 |
| EE 513-03 | SYS ANALYSIS AND DSG | 4 | Harris | TR 130-310PM | HDFC242 |
| EE 514-01 | SYSTEMS RISK ANALYSIS | 4 | Karimlou | MW 420-6PM | ETB12 |
| EE 514-02 | SYSTEMS RISK ANALYSIS | 4 | Koelsch | MW 8-940PM | KHC4073 |
| EE 521-01 | ADV DIG COMM II | 4 | Daneshgaran & Mondin | MW 610-750PM | ETA331 |
| EE 534 | PWR SYS STABILITY | 4 | Jamehbozorg | TR 8-940PM | ETA332 |
| EE 537 | FAULTED POWER SYS | 4 | Castaneda | F 610-10PM | ETA331 |
| EE 545-01 | MOBILE AD HOC NTWKS | 4 | Zhao | TR 420-6PM | ETB108 |
| EE 545-02 | MOBILE AD HOC NTWKS | 4 | Zhao | TR 610-750PM | KHB4013 |
| EE 547A-01 | COMP SYS ARCH I | 4 | He | TR 8-940PM | KHD2072 |
| EE 547A-02 | COMP SYS ARCH I | 4 | He | MW 420-6PM | ETA226 |
| EE 560 | LINEAR SYS ANALYSIS | 4 | Behbahani | TR 610-750PM | ETC154 |
| EE 562 | ADV DIG CNTRL SYS | 4 | Behbahani | MW 8-940PM | ETC154 |
| ENGR 300-03 | ECON FOR ENGINEERS | 4 | Gharibian | TR 8-940PM | ETA331 |
| ENGR 301-03 | ETHICS & PROF IN ENG | 1 | Ashe | M 8-850PM | ETA331 |
| EE 560 | LINEAR SYS ANALYSIS | 4 | Behbahani | TR 610-750PM | ETC154 |
| EE 562 | ADV DIG CNTRL SYS | 4 | Behbahani | MW 8-940PM | ETC154 |
| ENGR 300-03 | ECON FOR ENGINEERS | 4 | TR 8-940PM | ETA331 | |
| ENGR 301-03 | ETHICS & PROF IN ENG | 1 | Ashe | M 8-850PM | ETA331 |


import math
from abc import ABC, abstractmethod
from mcts import parameters as p
[docs]class Scorer(ABC):
"""
Abstract class for the calculation of the score of a SMILES
"""
def __init__(self, alpha=0.5):
"""
Initialise the Scorer
:param alpha: number used in the reward method
"""
super().__init__()
self.alpha = alpha
[docs] @abstractmethod
def score(self, smiles):
"""
Abstact method to calculate the score
:param smiles: the SMILES object to score
:return: the score of the SMILES
"""
pass
[docs] def reward(self, smiles, already):
"""
Method giving the reward depending on the score of the SMILES and if it have already been calculated
:param smiles: the SMILES to reward
:param already: True if the SMILES score have already been calculated
:return: the reward of the SMILES
"""
score = self.score(smiles)
reward = ((self.alpha * score) / (1 + math.fabs(self.alpha * score)))
return reward if not already or not smiles[p.s_valid] else (reward / 2)
[docs]class ScorerValidSMILES(Scorer):
"""
Sub class of Scorer
Used to reward on the validity of the generated SMILES
"""
def __init__(self, alpha=0.5):
super().__init__(alpha)
print("Scorer for valid SMILES")
[docs] def score(self, smiles):
"""
Score the SMILES
:param smiles: SMILES to score
:return: 1 if the SMILES if valid else -1
"""
return 1 if smiles[p.s_valid] else -1
[docs]class ScorerDFT(Scorer):
"""
Sub class of scorer
Used to reward the DFT score of a SMILES
"""
def __init__(self, alpha=0.5):
super().__init__(alpha)
print("Scorer for DFT")
[docs] def score(self, smiles):
"""
Score the SMILES
:param smiles: SMILES to score
:type smiles: SMILES
:return: -100 if the SMILES is not valid, -0.5 if the DFT calcul didn't end a value above 0 depending on the peak of oscillator strength otherwise
"""
if smiles[p.s_valid]:
try:
dft = smiles[p.s_dft]
except Exception as e:
print(e)
return -0.5
score = 0
for line in dft:
if 300 <= line["nm"] < 400:
score += line["f"] * 25
if 400 <= line["nm"] < 500:
score += line["f"] * 50
if 500 <= line["nm"]:
score += line["f"] * 100
return score
else:
return -100


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"Anti-abortion groups will be gathering for the “International Gift of Life” walk at Foley Square on this Sunday, March 25th. These groups represent some of the most horrendous ideals held by our opponents in the fight for abortion access without apology..."
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Public Member Functions | |
| KmlVec2 | project (double lat, double lng, double alt, KmlAltitudeModeEnum altitudeMode) |
| void | setAbstractView (KmlAbstractView view) |
| KmlLookAt | copyAsLookAt (KmlAltitudeModeEnum altitudeMode) |
| KmlCamera | copyAsCamera (KmlAltitudeModeEnum altitudeMode) |
| KmlLatLonBox | getViewportGlobeBounds () |
| GEHitTestResult | hitTest (float x, KmlUnitsEnum xUnits, float y, KmlUnitsEnum yUnits, GEHitTestModeEnum mode) |
Events | |
| void | viewchangebegin () |
| void | viewchangeend () |
| void | viewchange () |
| KmlVec2 GEView.project | ( | double | lat, | |
| double | lng, | |||
| double | alt, | |||
| KmlAltitudeModeEnum | altitudeMode | |||
| ) |
| void GEView.setAbstractView | ( | KmlAbstractView | view | ) |
Sets the camera that views the scene in Google Earth.
| KmlLookAt GEView.copyAsLookAt | ( | KmlAltitudeModeEnum | altitudeMode | ) |
Creates and returns a new KmlLookAt object, initialized to the current camera position and orientation. Use 'altitudeMode' to specify the altitude mode of the looked-at point.
| KmlCamera GEView.copyAsCamera | ( | KmlAltitudeModeEnum | altitudeMode | ) |
Creates and returns a new KmlCamera object, initialized to the current camera position and orientation. Use 'altitudeMode' to specify the altitude mode of the new camera.
| KmlLatLonBox GEView.getViewportGlobeBounds | ( | ) |
Returns a bounding box that completely contains the region of the globe that is currently visible. The returned box will be larger than what is strictly visible, if that is necessary to include everything that is visible.
| GEHitTestResult GEView.hitTest | ( | float | x, | |
| KmlUnitsEnum | xUnits, | |||
| float | y, | |||
| KmlUnitsEnum | yUnits, | |||
| GEHitTestModeEnum | mode | |||
| ) |
Given a point on the screen in pixel coordinates, returns a GEHitTestResult with information about the geographic location corresponding to the point on the screen. Tip: hitTest()
is the inverse of project()
.
| x | The x coordinate, measured from the left or right edge of the plug-in window, depending on xUnits. | |
| xUnits | The units in which the x value is specified. | |
| y | The y coordinate, measured from the top or bottom edge of the plug-in window, depending on yUnits. | |
| yUnits | The units in which the y value is specified. | |
| mode | Selects which categories of objects to include in the hit test. Categories may be combined via JavaScript's OR operator, '|'. |
| void GEView.viewchangebegin | ( | ) |
Event fired when the view begins changing in Earth. This event will be fired once, followed by successive viewchange events, and ending with a viewchangeend event.
| void GEView.viewchangeend | ( | ) |
Event fired when the view stops changing in Earth.
| void GEView.viewchange | ( | ) |
Event fired while the view is changing in Earth. This event will be triggered in rapid succession while the camera is in motion.


| PostgreSQL 9.0.10 Documentation | ||||
|---|---|---|---|---|
| Prev | Up | Chapter 39. PL/pgSQL - SQL Procedural Language | Next |
PL/pgSQL is a loadable procedural language for the PostgreSQL database system. The design goals of PL/pgSQL were to create a loadable procedural language that
can be used to create functions and trigger procedures,
adds control structures to the SQL language,
can perform complex computations,
inherits all user-defined types, functions, and operators,
can be defined to be trusted by the server,
is easy to use.
Functions created with PL/pgSQL can be used anywhere that built-in functions could be used. For example, it is possible to create complex conditional computation functions and later use them to define operators or use them in index expressions.
In PostgreSQL 9.0 and later, PL/pgSQL is installed by default. However it is still a loadable module, so especially security-conscious administrators could choose to remove it.
SQL is the language PostgreSQL and most other relational databases use as query language. It's portable and easy to learn. But every SQL statement must be executed individually by the database server.
That means that your client application must send each query to the database server, wait for it to be processed, receive and process the results, do some computation, then send further queries to the server. All this incurs interprocess communication and will also incur network overhead if your client is on a different machine than the database server.
With PL/pgSQL you can group a block of computation and a series of queries inside the database server, thus having the power of a procedural language and the ease of use of SQL, but with considerable savings of client/server communication overhead.
Extra round trips between client and server are eliminated
Intermediate results that the client does not need do not have to be marshaled or transferred between server and client
Multiple rounds of query parsing can be avoided
This can result in a considerable performance increase as compared to an application that does not use stored functions.
Also, with PL/pgSQL you can use all the data types, operators and functions of SQL.
Functions written in PL/pgSQL can accept as arguments any scalar or array data type supported by the server, and they can return a result of any of these types. They can also accept or return any composite type (row type) specified by name. It is also possible to declare a PL/pgSQL function as returning record, which means that the result is a row type whose columns are determined by specification in the calling query, as discussed in Section <IP_ADDRESS>.
PL/pgSQL functions can be declared to accept a variable number of arguments by using the VARIADIC marker. This works exactly the same way as for SQL functions, as discussed in Section 35.4.5.
PL/pgSQL functions can also be declared to accept and return the polymorphic types anyelement, anyarray, anynonarray, and anyenum. The actual data types handled by a polymorphic function can vary from call to call, as discussed in Section 35.2.5. An example is shown in Section 39.3.1.
PL/pgSQL functions can also be declared to return a "set" (or table) of any data type that can be returned as a single instance. Such a function generates its output by executing RETURN NEXT for each desired element of the result set, or by using RETURN QUERY to output the result of evaluating a query.
Finally, a PL/pgSQL function can be declared to return void if it has no useful return value.
PL/pgSQL functions can also be declared with output parameters in place of an explicit specification of the return type. This does not add any fundamental capability to the language, but it is often convenient, especially for returning multiple values. The RETURNS TABLE notation can also be used in place of RETURNS SETOF.
Specific examples appear in Section 39.3.1 and Section 39.6.1.


Saffron colour, indicating the strength and courage of the country.
The white middle band indicates peace and truth with Dharma Chakra.
The last band is green in colour shows the fertility, growth and auspiciousness of the land.


I am a 15 year-old High School Sophomore currently self-teaching HTML, CSS, Java & Lua. You can follow me on Twitter, @brycehoffhous verified_user, in which you can follow me for updates on my projects.
Currently, I have no released projects. However, I am working on some projects that will soon be avaliable for download. I mostly want to be creating iOS/Android applications for everyday stuff. So, make sure to stay up to date with that.


Syntax:
return-from name [result] =>|
Arguments and Values:
name---a block tag; not evaluated.
result---a form; evaluated. The default is nil.
Description:
Returns control and multiple values[2] from a lexically enclosing block.
A block form named name must lexically enclose the occurrence of return-from; any values yielded by the evaluation of result are immediately returned from the innermost such lexically enclosing block.
The transfer of control initiated by return-from is performed as described in Section 5.2 (Transfer of Control to an Exit Point).
Examples:
(block alpha (return-from alpha) 1) => NIL (block alpha (return-from alpha 1) 2) => 1 (block alpha (return-from alpha (values 1 2)) 3) => 1, 2 (let ((a 0)) (dotimes (i 10) (incf a) (when (oddp i) (return))) a) => 2 (defun temp (x) (if x (return-from temp 'dummy)) 44) => TEMP (temp nil) => 44 (temp t) => DUMMY (block out (flet ((exit (n) (return-from out n))) (block out (exit 1))) 2) => 1 (block nil (unwind-protect (return-from nil 1) (return-from nil 2))) => 2 (dolist (flag '(nil t)) (block nil (let ((x 5)) (declare (special x)) (unwind-protect (return-from nil) (print x)))) (print 'here)) >> 5 >> HERE >> 5 >> HERE => NIL (dolist (flag '(nil t)) (block nil (let ((x 5)) (declare (special x)) (unwind-protect (if flag (return-from nil)) (print x)))) (print 'here)) >> 5 >> HERE >> 5 >> HERE => NIL
The following has undefined consequences because the block form exits normally before the return-from form is attempted.
(funcall (block nil #'(lambda () (return-from nil)))) is an error.
Affected By: None.
Exceptional Situations: None.
See Also:
block, return, Section 3.1 (Evaluation)
Notes: None.


{% extends "layout.html" %} {% block styles %} {% endblock %} {% block content %} Instructions Please select the most incoherent of the two possibly choices. An incoherent text is one that does not follow logically. In a simple example, the text "I am hungry because it is snowing" is more incoherent than "I am hungry because I didn't eat". 1. a) Which text is more incoherent? Select only ONE of the following: {{dict['Sample1_1']}} {{dict['Sample1_2']}} b) Rate how incoherent your selection is relative to the alternate choice: Equally incoherent, there is no difference in the incoherence of the texts A little more incoherent, but the difference is not obvious More incoherent, the selected text is more incoherent than the other choice Completely incoherent, the selected text is obviously incoherent 2. a) Which text is more incoherent? Select only ONE of the following: {{dict['Sample2_1']}} {{dict['Sample2_2']}} b) Rate how incoherent your selection is relative to the alternate choice: Equally incoherent, there is no difference in the incoherence of the texts A little more incoherent, but the difference is not obvious More incoherent, the selected text is more incoherent than the other choice Completely incoherent, the selected text is obviously incoherent 3. a) Which text is more incoherent? Select only ONE of the following: {{dict['Sample3_1']}} {{dict['Sample3_2']}} b) Rate how incoherent your selection is relative to the alternate choice: Equally incoherent, there is no difference in the incoherence of the texts A little more incoherent, but the difference is not obvious More incoherent, the selected text is more incoherent than the other choice Completely incoherent, the selected text is obviously incoherent 4. a) Which text is more incoherent? Select only ONE of the following: {{dict['Sample4_1']}} {{dict['Sample4_2']}} b) Rate how incoherent your selection is relative to the alternate choice: Equally incoherent, there is no difference in the incoherence of the texts A little more incoherent, but the difference is not obvious More incoherent, the selected text is more incoherent than the other choice Completely incoherent, the selected text is obviously incoherent 5. a) Which text is more incoherent? Select only ONE of the following: {{dict['Sample5_1']}} {{dict['Sample5_2']}} b) Rate how incoherent your selection is relative to the alternate choice: Equally incoherent, there is no difference in the incoherence of the texts A little more incoherent, but the difference is not obvious More incoherent, the selected text is more incoherent than the other choice Completely incoherent, the selected text is obviously incoherent 6. a) Which text is more incoherent? Select only ONE of the following: {{dict['Sample6_1']}} {{dict['Sample6_2']}} b) Rate how incoherent your selection is relative to the alternate choice: Equally incoherent, there is no difference in the incoherence of the texts A little more incoherent, but the difference is not obvious More incoherent, the selected text is more incoherent than the other choice Completely incoherent, the selected text is obviously incoherent 7. a) Which text is more incoherent? Select only ONE of the following: {{dict['Sample7_1']}} {{dict['Sample7_2']}} b) Rate how incoherent your selection is relative to the alternate choice: Equally incoherent, there is no difference in the incoherence of the texts A little more incoherent, but the difference is not obvious More incoherent, the selected text is more incoherent than the other choice Completely incoherent, the selected text is obviously incoherent 8. a) Which text is more incoherent? Select only ONE of the following: {{dict['Sample8_1']}} {{dict['Sample8_2']}} b) Rate how incoherent your selection is relative to the alternate choice: Equally incoherent, there is no difference in the incoherence of the texts A little more incoherent, but the difference is not obvious More incoherent, the selected text is more incoherent than the other choice Completely incoherent, the selected text is obviously incoherent 9. a) Which text is more incoherent? Select only ONE of the following: {{dict['Sample9_1']}} {{dict['Sample9_2']}} b) Rate how incoherent your selection is relative to the alternate choice: Equally incoherent, there is no difference in the incoherence of the texts A little more incoherent, but the difference is not obvious More incoherent, the selected text is more incoherent than the other choice Completely incoherent, the selected text is obviously incoherent 10. a) Which text is more incoherent? Select only ONE of the following: {{dict['Sample10_1']}} {{dict['Sample10_2']}} b) Rate how incoherent your selection is relative to the alternate choice: Equally incoherent, there is no difference in the incoherence of the texts A little more incoherent, but the difference is not obvious More incoherent, the selected text is more incoherent than the other choice Completely incoherent, the selected text is obviously incoherent {% endblock %}
Please select the most incoherent of the two possibly choices. An incoherent text is one that does not follow logically. In a simple example, the text "I am hungry because it is snowing" is more incoherent than "I am hungry because I didn't eat".
1. a) Which text is more incoherent? Select only ONE of the following:
b) Rate how incoherent your selection is relative to the alternate choice:
2. a) Which text is more incoherent? Select only ONE of the following:
3. a) Which text is more incoherent? Select only ONE of the following:
4. a) Which text is more incoherent? Select only ONE of the following:
5. a) Which text is more incoherent? Select only ONE of the following:
6. a) Which text is more incoherent? Select only ONE of the following:
7. a) Which text is more incoherent? Select only ONE of the following:
8. a) Which text is more incoherent? Select only ONE of the following:
9. a) Which text is more incoherent? Select only ONE of the following:
10. a) Which text is more incoherent? Select only ONE of the following:


As a browser loads a web page, it creates a model of that page. The model
is called a DOM tree
, and it is stored in the browser's
memory. It consists of four main types of nodes.

List

Buy groceries

freshfigs

pine nuts

honey

balsamic vinegar

Each node is an object with methods and properties. Scripts access and update this DOM tree (not the source HTML file)(Original file remain the same). Any changes made to the DOM tree are reflected in the browser.
Accessing and updating the DOM tree involves two steps:
| Selecting individual element | Selecting multiple element | Traversing between elements |
|---|---|---|
getElementById('ID_NAME') |
getElementsByClassName('CLASS_NAME') |
parentNode |
querySelector('CSS_SELECTOR') |
getElementsByTagName(HTML_TAG_NAME') |
previousSibling / nextSibling |
querySelectorAll('CSS_SELECTOR') |
firstChild / lastChild |
| Access / Update text nodes | Work with HTML content | Access / Update attribute values |
|---|---|---|
| 1. Select the
 element. | innerHTML Working with HTML inner elements |
ELEMENT.className / ELEMENT.id |
2. Use the firstChild property to get the text node
|
textContent Only with text content |
|
3. Use the text node's only property nodeValue to get
the text from the element
|
By using the following methods in document
object, we can
create and delete HTML elements.

let header = document.createElement("h1");
let text = document.createTextNode("Header text");
header.appendChild(text);
document.body.appendChild(header);
By using the most important attributes like:
hasAttribute()
getAttribute()
removeAttribute()
we can do some advance attribute and control out html tags.

let image = document.createElement("img");
image.src = "http://meowgifs.com/wp-content/uploads/2014/10/shake-it.gif";
image.className = "image-of-cat";
document.body.appendChild(image);
let myImage = document.querySelector(".image-of-cat");
alert(myImage.getAttribute("src"));
When you need to work with an element more than once, you should use a variable to store the result of this query. Storing a DOM tree in a variable means of storing the location of the element(s) within the DOM tree in a variable. The properties and methods of that element node works on the variable.


Heart Disease Prediction
using Machine Learning
I am a
year old
Male
Female
.
I smoke
cigarettes daily.
I
have
don't have
diabetes.
My cholestrol level is
and my blood pressure is
/
. I have a heart rate of
about
and my blood
sugar level is
.
Predict


Puppet Dashboard Baseline Compliance Workflow
This documentation does not refer to a released product.
For documentation of the compliance features released in Puppet Enterprise 1.2, please see the Puppet Enterprise manual.
This chapter describes the baseline plugin’s expected workflow and explains some key terms and concepts.
Navigation
- Introduction and Workflow
- Bootstrapping
- Interface
- Internals
The Compliance Workflow Cycle
The baseline compliance workflow is designed to audit changes to systems managed by ad-hoc manual administration. This differs from and isn’t fully compatible with Puppet’s standard managed resources workflow — although you can use both models of management at the same site (or even in the same catalog), they should be used on disjunct sets of resources.
A sysadmin writes manifests defining which resources to audit on which nodes. Puppet agent retrieves and caches a catalog compiled from those manifests. Puppet inspect reads that catalog to discover which resources to audit, then submits an inspect report to the puppet master, which forwards it to Puppet Dashboard. Dashboard then calculates a daily report of differences between the inspected system state and the approved baseline state, creating a baseline if one didn’t already exist. A sysadmin uses the Dashboard interface to approve or reject every difference, then manually reverts any unapproved changes as necessary. Dashboard then modifies the baseline to include any approved changes, and awaits the next day’s inspect reports.
This summary elides some details regarding daily comparisons and baseline revision; see the “Internals” chapter for more details.
Concepts
Auditing
When using this workflow, Puppet audits the state of resources, rather than enforcing a desired state; it does not make changes to any audited resources. Instead, changes are to be made manually and reviewed for approval after the fact.
After reviewing changes in the Dashboard interface, any approved changes will be considered the baseline state in future reports. Rejected changes will continue to be reported as non-baseline states until they are reverted manually on the affected machines.
Resources and Attributes
Any native Puppet resource type can be used in the baseline compliance workflow. As with similar compliance products, you can audit the content and metadata of files, but you can also audit user accounts, services, cron jobs, and anything for which a custom native type can be written.
Resources are audited by attribute — you can choose one or more attributes you wish to audit, or audit all attributes of that resource.
Manifests
The set of resources to audit is declared in standard Puppet manifests on the master and retrieved as a catalog by the agent. Instead of declaring the desired state of a resource, these manifests should declare only titles (and name/namevar, if necessary) and the audit
metaparameter.
Inspect Reports
Each node being audited for compliance will routinely report the states of its audited resources. The documents it sends are called inspect reports, and differ from standard Puppet reports.
Baselines
Conceptually, a baseline is a blessed inspect report for a single node: it lists the approved states for every audited resource on that node. Each node is associated with one and only one baseline, and nodes cannot share baselines. However, nodes with similar baselines can be grouped for convenience.
Baselines are maintained by the baseline compliance plugin. They change over time as administrators approve changes to audited resources.
Groups
Although nodes cannot share baselines, nodes in a Dashboard group can have similar changes approved or rejected en masse.
The groups used by the baseline plugin are the same groups Dashboard uses for classifying nodes.
Navigation
- Introduction and Workflow
- Bootstrapping
- Interface
- Internals


Chapter 0 : Introduction and philosophy
Urbit is a new programming and execution environment designed from scratch. Any resemblance to existing languages or operating systems is coincidental, cosmetic, or inevitable.
Urbit is a stack
Nock is a stateless virtual machine defined in 200 words. The Nock machine is sealed - all execution is "pure." Nock's goal is extreme commoditization of computing semantics.
Hoon is a high-level language which defines itself in Nock. Its self-compiling kernel, 7000 lines of code, specifies Hoon unambiguously; there is no Hoon spec. Hoon can be classified as a pure, strict higher-order static type-inferred functional language, with co/contra/bivariance and genericity. However, Hoon does not use lambda calculus, unification, or other constructs from "PL theory." Hoon also excels at handling and validating untyped data, a common task on teh Internets. Its syntax is entirely novel and initially quite frightening.
Arvo is a deterministic functional operating system defined in Hoon. While still basically a toy, it can serve web apps and network securely with other Arvo instances. An Arvo instance is designed to be a simple independent computer in the cloud.
It's possible to use Nock without Hoon, but there is no obvious reason to do so. It's not necessary to learn Nock to learn Hoon, but it helps a lot. The same for Hoon and Arvo. Therefore, we'll work through all three in order. in order. If you're convinced that you want to learn Urbit, feel free to skip the justifications below.
Nock
Nock is a virtual machine, like the Java VM or Microsoft CLR. Just as you execute Java by compiling it to the JVM, you execute Hoon by compiling it to Nock.
Do you need to learn Nock to learn Hoon? In theory, no, just as you don't need to know anything about the JVM to learn Java. Indeed, in theory we could compile Hoon to the JVM (or Java to Nock). What's the difference between Nock and the JVM, anyway? Why do we need a new virtual machine? And since we'll only be programming in Hoon, why do we care how Hoon is executed?
There is no formal difference between Nock and the JVM. In theory, both are Turing-complete computers. In practice, they have just about nothing in common.
The main practical difference is that Nock is two orders of magnitude simpler. The JVM spec is a book. The Nock spec is 200 words; it fits on a T-shirt; it gzips to 372 bytes. There are lots of other differences, but all follow from this.
Why does size matter? The goal of any programming language is to become a standard. Universal standardization equals world domination. The simpler a specification is, the easier to standardize. Nock is a practical interpreter as simple as the most frozen and fundamental of protocols or formats: IPv4, XML, JSON. A 200-word spec needs a standards process like a fish needs swim lessons. When a T-shirt goes to war with a book, it's like tanks against cavalry - or should be, anyway.
Since every program in Hoon (including the Hoon compiler) reduces to Nock, every program in Hoon inherits Nock's precision. If two Nock interpreters produce different results, one is wrong, and it is always easy to tell which - without a "standards lawyer." Can we imagine the end of incompatiblity?
Essential to actually realizing this promise is a second difference between Nock and the JVM, which is that the JVM can call Unix system calls and libraries, and Nock can't. Nock has no "native methods" or foreign-function interface. Nor is it ever extended, embellished, forked, improved or advanced.
Java began as a portable language; so did C. Most Java today is server-side Java, dependent no less than C on library and OS configuration. It is possible to write portable Java; it is possible to write portable C. It is not possible to write unportable Nock or Hoon. It is also not possible to write insecure Nock or Hoon, unless your interpreter is so broken there's an actual hole in its skull.
How does Nock obtain native CPU performance, if it can't call
native code? This is actually a much more pressing problem in
Nock than in conventional virtual machines, like the JVM, because
naive Nock is hopelessly inefficient. Nock is defined in a page
of pseudocode, and a naive interpreter can be written in a page
of any language. But since Nock's only arithmetic operator is
increment, decrement in your one-page interpreter is an O(n)
operation. Addition is O(n^2)
. And so on.
The programmer cannot solve this problem by calling a C function, because Nock can't do that. In theory, an optimizing Nock interpreter might be able to analyze the code and reduce it to a simpler equivalent. But this would be a true research problem.
Instead, a practical Nock engine simply recognizes code it knows and substitutes equivalent C functions, or "jets." For instance, in theory there are many different ways to express decrement in Nock, but in practice the Nock interpreter will execute only one: the decrement function in the Hoon kernel. Therefore, the only Nock decrement that must be optimized is the code that Hoon generates when it compiles its own decrement. All others will suck, so don't roll your own. Code recognition, as opposed to code analysis, is not a research problem.
Jet propulsion separates mechanism and policy, transferring the task of achieving native performance from the programmer to the sysadmin. The Hoon programmer must still use hints to mark functions for jet recognition, but cannot control or discern how these functions are actually executed. Of course, a correct jet is indistiguishable in every way, except timing, from naive Nock. The 200-word spec defines the result, not the algorithm.
We can see a jet as a sort of "functional device driver." For instance, an OpenGL programmer today has no idea whether her GL operations are implemented in software or by a GPU. This abstraction is essential to modern graphics programming.
When we compare jets to native calls, what are the pros and cons? Jets have only one disadvantage: high-performance code must be written twice, once in Hoon and once in C. Indeed, from the C programmer's perspective, Hoon is a specification language for your C functions. Hoon specifications are executable, of course, so you can test the two implementations against each other - again, transparently to the programmer. Moreover, the jet can even fail in special cases and drop back to the interpreter.
Hoon ships with a Nock that jet-propels most of the Hoon kernel, including most of the Hoon compiler. If you're wondering how we wrote Hoon in Hoon when we didn't have Hoon, the answer is that we wrote Hoon in C and evolved this C code into a mere jet. This process is not recommended unless absolutely necessary - by far the best way to write the jet pair is to write the Hoon first.
Hoon
If I can summarize Hoon's goal, it's to be the C of functional programming. If you're not so arthritic that you learned to code in Turbo Pascal, you may never fully appreciate the metaphor.
All languages in the Algol procedural family, including both C and Pascal, map straightforwardly onto a conventional CPU. But Pascal and C handle this mapping very differently. Pascal and C both have pointers and arrays, but Pascal works hard to treat both pointers and arrays as mathematical abstractions. C drops the abstraction; it makes no bones about the fact that a pointer is a memory address.
To a Pascal purist, to anyone who thinks mathematically, this seemed hideous. C isn't really a high-level language at all - it's a glorified macro assembler. Mankind retreats to the cave. But to programmers who are not natural mathematicians, whose minds are mechanical rather than abstract, C is a lifesaver. Since most mathematicians are also good mechanical thinkers, whereas very few people are naturally adept at abstraction, C slew and pillaged the once promising empire of Pascal.
There are two broad families of functional language available today: Haskell/ML, and Lisp. The Haskell family is relatively abstract; the Lisp family, relatively concrete. Perhaps Lisp is about as abstract as Pascal; Haskell is far more abstract. Both rest on the fundamental abstraction of functional programming, the lambda calculus, and more generally the foundational metamathematics of the late 19th and early 20th centuries.
Hoon has nothing to do with any of this stuff. It has functions and types, or what appear to be functions and types. On closer inspection, they are not abstractions at all, just glorified Nock macros.
If we compare these concrete patterns to the genuine abstractions of Haskell, we see that - as with Pascal and C - Hoon is roughly as expressive as Haskell. Haskell has higher-order type inference; Hoon has "higher-order" "type" "inference." Some Haskell extensions have dependent types - Hoon has "refined" "types." Hoon, like Lisp, unlike Haskell, is also very comfortable with typeless data; it should be, because it has no types, only "types." The Hoon features and the Haskell abstractions have nothing in common - except that they solve the same problems for you, the programmer. In short, Hoon next to Haskell is a white shark next to a killer whale. The apparent resemblance is strictly superficial.
So we could describe Hoon as a pure, strict, higher-order typed functional language. But don't do this in front of a Haskell purist, unless you put quotes around "typed," "functional," and possibly even "language." We could also say "object-oriented," with the same scare quotes for the cult of Eiffel.
Knowing Pascal made it harder, not easier, to learn C. Knowing Haskell or Lisp makes it harder to learn Hoon. Indeed, knowing either would have made it impossible for me to write Hoon. I do know C, of course, and the spirit of K&R is all over Hoon. Or so I'd like to think. Just as C is little more than a macro assembler for machine code, Hoon is little more than a macro assembler for Nock.
The most basic difference between Hoon and other languages is that Hoon is defined in Hoon. There is no formal Hoon spec - just a self-compiling compiler written in Hoon. The target of this compiler is, of course, Nock. Thus Hoon is as precisely defined as Nock, which is quite precisely indeed.
This would be true regardless of the size of Hoon in Hoon, but Hoon in Hoon is in fact quite small. The Hoon kernel is 7000 lines; it gzips to 25K. But this includes not only the self-compiling compiler, but also all the standard libraries it needs. The compiler alone is 2500 lines, including a very intricate "monadic" parser, a non-Hindley-Milner "type inference" engine, and a Nock code generator. This reflects both the internal simplicity of Hoon and its expressiveness. If you know these 2500 lines, and an expert should, you know Hoon.
On the other hand, the apparent complexity of Hoon is very high. When you open a Hoon file, you are confronted with an enormous avalanche of barely structured line noise. Again this reminds us of C, which makes no attempt at the kind of abstract prettiness we expect from a Pascal or a Haskell. Learning Hoon involves learning nearly 100 ASCII digraph "runes."
Is this a harsh learning curve? Of course it is. On the other hand, it is not a mathematical task, but a mechanical one. It is trivial compared to the task of learning the Chinese alphabet, memorizing the Qu'ran, etc, all rote mental tasks routinely performed by normal human 11-year-olds. If you have an 11-year-old who understands the Hindley-Milner algorithm, you have a remarkable young mathematician.
A practical programming language is first and foremost a UI for programmers - meaning human programmers. Concrete languages beat abstract ones because they play to the strengths of the human brain, and avoid its weaknesses. Functional programming is traditionally reserved for the topmost echelon of natural talent. I'd like to think that anyone who can learn to fix a Chevy can learn to write a Hoon function. We'll see if that's true.
A programming language is called a language for a reason - it should activate the human linguistic lobes. Learning Hoon is like learning a language very alien to your first, such as Chinese from English. Before you know Hoon, it looks like squiggles. Once you know Hoon, and the rote task of syntax processing is hardwired, you look at your screen and see the function. Or, at least, I do - I hope you can too.
Arvo
Lorem ipsum.


We can calculate directly used this package the Minimal Clinically Important Difference by applying the Anchor-based method and the Response shift effect by applying the Then-Test method.
| Version: | 1.0 |
| Published: | 2015-07-31 |
| Author: | Ahmad Ousmen |
| Maintainer: | Ahmad Ousmen <ousmen.ahmad at hotmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2.0)] |
| NeedsCompilation: | no |
| CRAN checks: | MRQoL results |
| Reference manual: | MRQoL.pdf |
| Package source: | MRQoL_1.0.tar.gz |
| Windows binaries: | r-devel: MRQoL_1.0.zip, r-release: MRQoL_1.0.zip, r-oldrel: MRQoL_1.0.zip |
| OS X binaries: | r-release: MRQoL_1.0.tgz, r-oldrel: MRQoL_1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=MRQoL to link to this page.


web winding material arm pinch engagement upper roller end figref[FIG. view machine present core pivot second roll separating paper suction surface roller, channel circumferential document-id:: embodiment schematic showing shaft according guide invention; lower location outer mechanism separation [patcit]: citation: cited classification-national:: examiner formed nip portion EMI-D direction speed force form invention rider arranged comprises position rotation action-date: al. generating-office:: having predetermined shown Classification: device edge fed opening operation rotate slack tear (see close connecting driving forms plates pulling rotatable rotational structure wound (as Biagiotti clamped figref[FIGS. method plate roller. CLAIM-TEXT:a claim comprising cpc-version-indicator:: driven induced invention, leading opposes passing perforation perforations vacuum Referring Tsai [addressbook]: accordance claimed connected contact conveyor coupled difference fixed forming gripping hold holds ipc-version-indicator:: operations opposite oscillable outward passage periodically physical plate, position, separate shaft, subjected sucks torn


-
$color-utility-positive
#149946
-
$color-utility-positive-subtle
#52B878
-
$color-utility-caution
#ffb600
-
$color-utility-caution-subtle
#FFD161
-
$color-utility-major
#ff8500
-
$color-utility-major-subtle
#FFB361
-
$color-utility-negative
#ff2c00
-
$color-utility-negative-subtle
#FF7C61
-
$color-utility-neutral
#0B4BDE
-
$color-utility-neutral-subtle
#4C78DC


Get each medal at least once and 500 total....!!!!!!
Hard enough ?
Post edited 4 x times, last by
Brady_The
Brady_The
viper13966 wrote:
Get each medal at least once and 500 total....!!!!!!
Hard enough ?
Hey viper13966,
I am not sure if custom assignments are still under "development". I don't know where to find the information, otherwise I would provide a link but I am pretty sure that BBlog wont get any releases or bigger updates (except urgent bug fixes, etc) until Battlefield 4 is out.
Greetings :-)
Edit: Btw, "unreachable" is not right. I do have 54/57 medals and 1571 in total.

Meaurk
Global Moderator
Brady_The is completely right. There will be no big updates until Battlefield 4 is out.
Topicstarter
viper13966
Too bad you don't create any new ones - about to get the last medal :)
And 500 total should be no problem for better players...


sdfwrite varname
This command will write out a defined variable
varname
into a NetCDF formatted
data file.
The sdfwrite
command was initially implemented in GrADS version 2.0.a3. Additional features added in subsequent releases are as follows:
Options to control the name and format of the output file are implemented with the set sdfwrite
command. The q sdfwrite
command
returns the status of the sdfwrite
options.
The name of the output file will be grads.sdfwrite.nc
unless specified otherwise with the set sdfwrite
command. If the
file exists, it will be replaced. It is not possible to append variables to an existing file.
The dimensions of the variable written to file correspond to the dimension environment that was set when the variable was defined. The dimension environment that is set when the 'sdfwrite' command is invoked is ignored. Note this behavior is different from the fwrite command.
By default, the output file will have a coordinate variable only for varying dimensions in the defined variable; non-varying dimensions will not appear as a coordinate variable with a size of 1. However, options have been added to the set sdfwrite
command to force the variable in the output file to have at least 3, 4, or all 5 dimensions. When either of these options to set sdfwrite
are used, the output file will retain information about the values of the dimensions that were fixed when the variable was defined; non-varying dimensions will appear as a coordinate variable of size 1.
For example, if your defined variable is 500mb height on14may2002 (a 2D variable that varies only in lon and lat), and you use the -4d option, the output file with show height as a 4D variable with a Z dimension of size 1 called 'lev' with a value "500 mb", and a T dimension of size 1 called 'time' with a value of "0 minutes since 2002-05-14 00:00".
The coordinate variables will be type 'double' and will have two default attributes ("units" and "long_name") with values that are based on the GrADS 5-dimensional gridded data model. The data variable will also be type 'double' by default; beginning with version 2.0.a8, you can also write out data of type 'float' if you use the -flt
option with set sdfwrite
command. Data variables will have a "missing _value" or "_FillValue" attribute for undefined gridpoints. The undefined value is controlled with the
set undef
command.
For example, if varname
is called "testvar" and varies in X, Y, Z, T, and E, then the output file might have a NetCDF header that looks like this:
netcdf foo {
dimensions:
longitude = 9 ;
latitude = 9 ;
level = 9 ;
time = 9 ;
ensemble = 9 ;
variables:
double longitude(longitude) ;
longitude:units = "degrees_east" ;
longitude:long_name = "Longitude" ;
double latitude(latitude) ;
latitude:units = "degrees_north" ;
latitude:long_name = "Latitude" ;
double level(level) ;
level:units = "millibar" ;
level:long_name = "Level" ;
double time(time) ;
time:units = "minutes since 01-01-0001 00:00" ;
time:long_name = "Time" ;
double ensemble(ensemble) ;
ensemble:grads_dim = "e" ;
ensemble:long_name = "Ensemble member" ;
double testvar(ensemble, time, level, latitude, longitude) ;
testvar:missing_value = -888. ;
}
The time axis units will always be "minutes since ..." and the date of the time axis origin will correspond to the initial time of the defined variable.
If the variable has an ensemble dimension, the attribute "grads_dim" with the value "e" will always be present so that the resulting output file can be opened with GrADS using the 'sdfopen' command.
To supplement or override the default attributes of the output file, use the set sdfattr
command.
Beginning with version 2.0.a8, the output file may also be a compressed netCDF file. Use the -zip
option with the set sdfwrite
command to enable compression. Please see the documentation on compression for more details.
The following commands produce a regional subset of a global precip forecast :
open gfs.ctl set lon -111.3 -103.8 set lat 40.9 45.0 set t 1 last define precip = ptot set sdfwrite wyoming_precip.nc sdfwrite precip
Appending Variables to a File
The sdfwrite command does not allow you to write out more than one variable to a file. The way to do achieve this is to write out each variable in a separate file, then merge them with the NetCDF Operators (NCO). Use the ncks
command to append variables defined on the same grid. The GrADS commands might look like this:
open gfs.ctl set x 1 720 set y 1 361 set t 1 last define slp = mslp define precip = ptot set sdfwrite -flt slp.nc sdfwrite slp sdt sdfwrite -flt precip.nc sdfwrite precipThen, outside GrADS, or using the ! in front of the command to send it to the shell from within GrADS, merge these two files with
ncks
:
ncks -O -h -A precip.nc slp.nc
The -A is for appending to the output file, the -O is for overwriting existing output file, and the -h does not add anything to the output file's global 'history' attribute. Please see the NCO User's Guide for more information.
Concatenating Files
Suppose you want to write out a long time series with the sdfwrite command, but your system does not have enough memory to define the whole grid. Use GrADS to write out the data in smaller time segments (e.g. one year, or one month, or one day), and then concatenate them together with the
NetCDF Operators (NCO). Concatenation in the time dimension only works properly if time is defined to be a record (unlimited) dimension. If you are using GrADS version 2.1.a2+, you can use the -rt
option to set the time axes as a record dimension; otherwise, you must use the ncks
command to change the time dimension to a record dimension. When the inidividual files have been created, use the ncrcat
command to concatenate them together. The GrADS commands might look like this:
open long_time_series.ctl set x 1 720 set y 1 361 set time 01jan2001 31dec2001 define slp = mslp set sdfwrite -flt slp_2001.nc sdfwrite slp set time 01jan2002 31dec2002 define slp = mslp set sdfwrite -flt slp_2002.nc sdfwrite slp set time 01jan2003 31dec2003 define slp = mslp set sdfwrite -flt slp_2003.nc
sdfwrite slp
If you are using GrADS version 2.1.a2+, the 'set sdfwrite' commands should look like this instead:
set sdfwrite -flt -rt slp_2001.nc
set sdfwrite -flt -rt slp_2001.nc
set sdfwrite -flt -rt slp_2001.nc
If you are using an earlier verison of GrADS, you must modify the time dimension with ncks
-- do this outside of GrADS, or use the ! in front of the command to send it to the shell from within GrADS (the --mk_rec_dmn option modifies the time dimension):
ncks -O -h --mk_rec_dmn time slp_2001.nc ncks -O -h --mk_rec_dmn time slp_2002.nc ncks -O -h --mk_rec_dmn time slp_2003.nc
Now you are ready to concatenate the files with ncrcat
:
ncrcat -O -h slp_2001.nc slp_2002.nc slp_2003.nc slp.nc
The -O is for overwriting existing output file, and the -h does not add anything to the output file's global 'history' attribute. Please see the NCO User's Guide for more information -- there are shortcuts for ncrcat
to specify the long list of files to concatenate.
N.B. (For compressed NetCDF-4 files): If the NetCDF files you create with GrADS are compressed netCDF-4 format, then you must use NCO version 4.0.4 (or higher) in order to maintain the compression in the output files. The chunk sizes may also be altered by ncks or ncrcat. Use the --cnk_dmn option to specify the name and chunk size of each dimension to manually override the defaults. For example:
ncrcat -O -h --cnk_dmn lev,1 --cnk_dmn lat,361 --cnk_dmn lon,720 slp_2001.nc slp_2002.nc slp_2003.nc slp.nc


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WITNESS LIST Government Reform Committee February 13, 2003-8:30A E-Texas Briefing On: Biles, Susan (Texas State Comptroller) Currah, Tom (Comptroller of Public Accounts) Dennis, David (Comptroller of Public Accounts) Ford, Ruthie (Comptroller of Public Accounts) LeBas, James (Comptroller's Office) McLaughlin, Laure (Comptroller of Public Accounts) Winters, Clint (Comptroller of Public Accounts) Governor's Priorities On: Morrissey, Mike (Office of the Governor) Roberts, Wayne (Office of the Governor) Sunset Advisory Commission Briefing On: Levine, Ken (Sunset Commission) McKay, Ginny (Sunset Commission)


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partha saradhi By Christopher Watkins March 10, 2016 Humans vs. Machines: An AI Odyssey
***Breaking News: AlphaGo has won the first two matches!*** In this, the third in our series on the epic Go matches being played
between AlphaGo (Google’s Artificial Intelligence software) and Lee Se-Dol (Current Go World Champion), we look at the history of
Humans vs. Machines, and the innovations that have led us to this incredible moment in time. going to take over the worldnot such a fantastic thing to imagine any longer.
Perhaps this is why we are so captivated by human vs. machine competitions, because the idea of being overcome by that which we’ve
created speaks to something very deep within our collective consciousness. When IBM’s Deep Blue faced off against Garry Kasparov 1 , the
event resulted in more than three billion impressions around the world, and when IBM’s later creation Watson challenged the champions on
Jeopardy, millions of viewers were glued to the proceedings.
Taking place right now, there is an event that, while not likely to scale the same media heights, may in fact have far greater implications
when it comes to the future of “intelligent” machines. On March 9, in Seoul, South Korea, a computing system know as AlphoGo (built by
researchers at DeepMind—a Google Artificial Intelligence lab) begana five-game match against Lee Se-dol, one of the very best players in
the world at the ancient game of Go.
Why is this so significant?
Here is how the DeepMind team explained it in their paperMastering the Game of Go with Deep Neural Networks and Tree Search:
The game of Go has long been viewed as the most challenging of classic games for artificial intelligence due to its enormous search space
and the difficulty of evaluating board positions and moves.
Put another way, winning at Go is a kind of Holy Grail for those who strive to create machines that can “think” on their own, because
success at this uniquely complex game seems to require something more than just skill, knowledge, and experience. It requires intuition.
Feel. Style. Characteristics we associate with humans, not with machines.
1 Garry Kasparov is a Russian chess Grandmaster and former World Chess Champion
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| Flow ID | Pitcher | Data Construction | Catcher |
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| 1 | Alice | Bob | |
| 2 | Bob | Alice |
| Flow ID | Pitcher | Data Construction | Catcher |
|---|---|---|---|
| 1 | Charlie | Alice |
| Flow ID | Pitcher | Data Construction | Catcher |
|---|---|---|---|
| 1 | Geoff | Bob |


605 Tasman Dr. Apt. 1103 Sunnyvale, CA |<PHONE_NUMBER> |<EMAIL_ADDRESS>Analytical, data driven engineer with diverse skill set in research and development. Experienced in programming, product development, laboratory testing, and data analysis. Interested in solving challenging problems in biotech, big data, and next generation medical devices.
Performed preclinical testing of devices for neurovascular intervention:
PySpectrum is a free and open source software created to process and analyze hyperspectral data primarily obtained from Raman spectroscopy.
SolidWorks, AutoCAD
Proficient With: Python, Java
Familiar With: C, R
Scanning Electron Microscopy, X-ray Diffraction
Testing Protocols, Work Instructions, Research Summaries
NSF research experience at Purdue University involving the use of clay as envirionmentally friendly alternative flame retardant for eventual incorporation in printed circuit boards


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Model FixedArrow defines an arrow that is shown
at the location of its frame_a.
The direction of the arrow specified with vector n is with respect to frame_a, i.e., the local frame to which the arrow component is attached. The direction and length of the arrow, its diameter and color can vary dynamically by providing appropriate expressions in the input fields of the parameter menu.


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Application: Maya 2012
Language: Python 3.x
Home
Message processing
Introduction
What do we mean by processing?
With processing we mean the whole part of receiving a message, and converting the data string to readable floats for Maya to transform
the given locators in the scene.
The main thought behind the process is simple:
Mvn Studio sends a message ==> the plug-in receives the message ==> the plug-in processes the message ==> the plug-in performs the transformations.
All of the above, except for the transformation part, happen in a seperate thread.
If the processing was to be executed in the Maya main thread it'd be terribly slow and Maya would not respond.
But the transformations MUST be executed in the Maya main thread because that's where the locators are known.
As soon as the end-user issues the 'start()' or the 'record()' command, the plug-in creates an object for every locator.
This object can hold several values:
- x translation
- y translation
- z translation
- x rotation
- y rotation
- z rotation
- ID
As of the current version of the plug-in the ID is not used.
Further information
An full euler message from Mvn Studio is 668 bytes long.
The message holds one header of 24 bytes long and 23 segment, every segment is 28 bytes long (24 + (23*28) = 668).
The segments consist of a ID which is an integer (4 bytes), the X translation, the Y translation, the Z translation, the X rotation, the Y rotation and the Z rotation which all are
single precision floating point numbers (4 bytes long or 32-bit).
So bytes 1,2,3 and 4 of a segment is the ID. Bytes 5,6,7,8 of a segement is the X translation etc.
We acces these numbers by issuing the received message like an array. For example: message[40] = floatingnumber1, message[41] = floatingnumber2, etc.
This way we can take 4 floatingnumbers and pack them to a 32-bit floating point number or an int.
We call the processing of a message a "round", and one round consists out of 23 "cycles".
With the first cycle being the head. In every cycle the transformations for that body part are set in its class.
Every body part is defined as an object, so we can say head.translatex = 5, head.translatey = 10, etc.
After all cycles are done and every body part thus has its new values, the "round" is completed and all new transformations are performed in the
Maya main thread.
The receiving of the messages and the packing of each 4 bytes into an int or a 32-bit foating point number happens in a seperate thread.
Only the actual transformation is executed in the Maya main thread.
For more information and further documentation / notes we took while testing please see this github repository.


MPs can pool expenses to pay for shared resources under a system called pooled services
. Pooled services are typically for research services such as the payment of researchers salaries and associated costs. At the time of writing there were five such services.
IPSA has produced an an assessment of pooled services Assurance Review: Pooled Services, Assessment of risks, controls and compliance, 2015-2016 that was last updated in 2017.
MPs pay for these services through subscription fees that are then reclaimed as expenses. At present the package does not compile this data. Initial exploration of the data reveals that the descriptions of these services varies and affects our ability to accurately capture expenses claims. We can however get an initial idea of what might be involved by simply searching for research in the data and seeking to capture variants:
library(tidyverse)
ipsa$research <- str_detect(ipsa$short_description, " Research*")
research <- ipsa %>% dplyr::filter(research == "TRUE") %>%
select(expense_type, short_description, details)
head(research)
#> # A tibble: 6 x 3
#> expense_type short_description details
#> <chr> <chr> <chr>
#> 1 Professional Services Parliamentary Research Service Subscription to…
#> 2 Professional Services Parliamentary Research Unit Quarter 2 payme…
#> 3 Professional Services Parliamentary Research Service Parliamentary R…
#> 4 Pooled Staffing Services European Research Group Part pay of mem…
#> 5 Pooled Staffing Services European Research Group European Resear…
#> 6 Professional Services Pooled Research Services Inv. Purchase of Par…
As this makes clear, this data is rather messy and would require care in cleaning up. As we will see in the example below, the details of expenses may be spread across multiple columns.
The European Research Group (ERG) is a topical example of one such pooled service that illustrates the work involved in arriving at a clean and tidy dataset.
MPs subscriptions to the ERG are recorded in the short_description
column and in the details
column. This is likely to be the case for other pooled services.
Rather than focus on the most efficient route to name cleaning (e.g. using regular expressions) a simpler approach involving identification and standardization of variants is used with the stringr
package which forms part of the tidyverse
. The benefit of this approach is that it is more transparent and easier to track variants and make corrections over time. We put the cleaned up data in a new column called clean_description
.
library(tidyverse)
ipsa$clean_description <- ipsa$short_description %>%
str_replace_all("European Research Group", "ERG") %>%
str_replace_all("EUROPEAN RESEARCH GROUP", "ERG") %>%
str_replace_all("European Research Group staff", "ERG") %>%
str_replace_all("110516 - ERG Membership", "ERG") %>%
str_replace_all("ERG Fees", "ERG") %>%
str_replace_all("ERG Payment", "ERG") %>%
str_replace_all("ERG Researcher", "ERG") %>%
str_replace_all("ERG Sub 2011-12", "ERG") %>%
str_replace_all("ERG subscription", "ERG") %>%
str_replace("ERG 2010/2011", "ERG")
In some cases the reference to the pooled service is not contained in the short_description
field but in the details
field. We therefore need to run the same exercise with the details field based on manual inspection of summaries of this field. To manually inspect the data we can use the following and hunt through for entries relevant to the pooled service we are looking for. There is a lot to review and hence we use View()
It turns out that references to the subscriptions in the details field contain characters such as [***]
and ()
that cause problems if we try to replace them in a straighforward way. We therefore use a couple of regular expressions at the beginning of the tidy up and edit the named entries to exclude those for matching. This will only be as good as our ability to spot the variants in the data.
ipsa$clean_details <- ipsa$details %>%
str_replace_all("\\[([^]]*)]", "") %>% # remove hard brackets and ***
str_replace_all("[(]|[)]", "") %>% # remove brackets
str_replace_all("European Research Group", "ERG") %>%
str_replace_all("EUROPEAN RESEARCH GROUP", "ERG") %>%
str_replace_all("2010 EUROPEAN RESERCH GROUP", "ERG") %>%
str_replace_all("Annual subs European Research Group", "ERG") %>%
str_replace_all("European Research Group for 2010/11", "ERG") %>%
str_replace_all("European Research Group Membership", "ERG") %>%
str_replace_all("European Research Group pooled staff", "ERG") %>%
str_replace_all("European Research Group Researcher", "ERG") %>%
str_replace_all("European Research Group Subscription", "ERG") %>%
str_replace_all("Membership for the European Research Group", "ERG") %>%
str_replace_all("Research Services - European Research Group ", "ERG") %>%
str_replace_all("Membership for European Research Group for Committee Purposes", "ERG") %>%
str_replace_all("Research Services - European Research Group ", "ERG") %>%
str_replace_all("Research services on European issues, in support of Parliamentary functions", "ERG") %>%
str_replace_all("ERG Pooled staffing", "ERG") %>%
str_replace_all("ERG services from pooled staff member as previous year", "ERG") %>%
str_replace_all("ERG subscription", "ERG") %>%
str_replace_all("ERG Subscription", "ERG") %>%
str_replace_all("ERG subscription ", "ERG") %>%
str_replace_all("ERG subscription-", "ERG") %>%
str_replace_all("ERG subscriptionIP", "ERG") %>%
str_replace_all("ERG for 2010/11", "ERG") %>%
str_replace_all("ERG Researcher", "ERG") %>%
str_replace_all("Membership for ERG for Committee purposes", "ERG") %>%
str_replace_all("ERG Membership", "ERG") %>%
str_replace_all("ERGservices from pooled staff member as previous year", "ERG") %>%
str_replace_all("Annual subs ERG", "ERG") %>%
str_replace_all("Annual Sub 2013-14", "ERG") %>%
str_replace_all("ERG Membership", "ERG") %>%
str_replace_all("PART STAFFING COSTS FOR ERGBACS payment received", "ERG") %>%
str_replace_all("PART STAFFING COSTS FOR ERG ", "ERG") %>%
str_replace_all("ERGIP", "ERG") %>%
str_replace_all("ERG ", "ERG") %>%
str_replace_all("ERG-", "ERG")
We can now take a look at summarising the subscribers. We add an id by row to assist with identifying duplicates and break the data into two tables that we join back together again to identify and filter out duplicates on the row id. Basically, no row id should appear twice or we will over count.
# Add a count of the number of subscriptions over the years
ipsa$id <- 1:nrow(ipsa)
erg1 <- ipsa %>% dplyr::filter(clean_description == "ERG")
erg2 <- ipsa %>% dplyr::filter(clean_details == "ERG")
# bind, identify duplicates and filter to non-duplicated entries.
erg <- bind_rows(erg1, erg2) %>%
mutate(duplicated = duplicated(.$id)) %>%
dplyr::filter(duplicated == "FALSE")
rm(erg1, erg2)
The annual subscription rate for the ERG is presently £2000. We need to check for entries in a given financial year that exceed that for review.
# test count of subscription levels by year
erg_count <- erg %>%
group_by(year, member_id, mps_name, dp_name, current_role) %>%
tally(amount_claimed, sort = "TRUE")
head(erg_count)
#> # A tibble: 6 x 6
#> # Groups: year, member_id, mps_name, dp_name [6]
#> year member_id mps_name dp_name current_role n
#> <chr> <chr> <chr> <chr> <chr> <dbl>
#> 1 13_14 373 David Davis Mr David Davis MP 4000
#> 2 14_15 1462 Angela Watkinson Dame Angela Watkin… Ex 4000
#> 3 17_18 4639 Bim Afolami Bim Afolami MP 4000
#> 4 12_13 4140 David Nuttall Mr David Nuttall Ex 3950
#> 5 13_14 1405 Mark Field Mark Field MP 2000
#> 6 13_14 1425 Jonathan Djanogly Mr Jonathan Djanog… MP 2000
There are four entries that are over 2000 in a given year that need investigation and may require adjustment if they involve a repayment. The details of the four entries are:
This involves three entries on the same day with one listed as a repayment. This suggests an accidental double claim and correction through repayment. This can be reduced to a single payment.
17_18 4639 Bim Afolami 4000. Appears as two payments on the same day in the 2017-2018 expenses. A check in the original csv reveals the double entry. This can reasonably be reduced to a single payment.
13_14 373 David Davis 4000. Two entries. One at the start of the financial year and one at the end on the 2014-03-20 with no entry for 14_15 signifying advanced payment for that 14-15 shortly before the end of the previous financial year.
12_13 4140 David Nuttall 3950. First payment on 12_13 2012-04-11 then on 2013-03-25. No entry for 14_15 signifying an advanced payment in the previous financial year.
To correct for the Angela Watkinson double entry the entries for 2014-2015 will be reduced to one by removing claim_no 365591 using !=
for not. We can do the same for the Bim Afolami double entry using the id column to arrive at the final set.
erg <- erg %>%
dplyr::filter(claim_no != "365591") %>%
dplyr::filter(id != "1323443") %>%
mutate(subscription_count = rep_len(1, length.out = nrow(.)))
We are now in a position to count the number of subscriptions over time and to sum the value of subscriptions.
erg_subscriptions <- erg %>%
group_by(member_id, ipsa_name, dp_name, current_role, mps_constituency) %>%
summarise_at(c("subscription_count", "amount_claimed"), sum) %>%
arrange(desc(subscription_count))
erg_subscriptions %>%
select(member_id, ipsa_name, dp_name, current_role, subscription_count, amount_claimed)
#> # A tibble: 53 x 6
#> # Groups: member_id, ipsa_name, dp_name, current_role [53]
#> member_id ipsa_name dp_name current_role subscription_cou…
#> <chr> <chr> <chr> <chr> <dbl>
#> 1 1444 Mark Francois Mr Mark Franc… MP 8
#> 2 4133 Andrew Bridgen Andrew Bridgen MP 8
#> 3 47 Gerald Howarth Sir Gerald Ho… Ex 8
#> 4 3977 Chris Heaton-H… Chris Heaton-… MP 7
#> 5 40 Bernard Jenkin Sir Bernard J… MP 7
#> 6 4140 David Nuttall Mr David Nutt… Ex 7
#> 7 4064 Steve Baker Mr Steve Baker MP 6
#> 8 4075 Chris Pincher Christopher P… MP 6
#> 9 4099 Jacob Rees-Mogg Mr Jacob Rees… MP 6
#> 10 1551 Stewart Jackson Mr Stewart Ja… Ex 5
#> # ... with 43 more rows, and 1 more variable: amount_claimed <dbl>
If we wanted to add some additional data to this set from the concordance with data.parliament
we would do something like the following.
erg_subscriptions <- ipsa_commons %>%
select(member_id, member_from, gender, date_of_birth, laying_minister_name, house_start_date) %>%
right_join(., erg_subscriptions, by = "member_id") %>%
select(member_id, dp_name, member_from, gender, date_of_birth, laying_minister_name, house_start_date, current_role, amount_claimed, subscription_count)
head(erg_subscriptions)
#> # A tibble: 6 x 10
#> member_id dp_name member_from gender date_of_birth
#> <chr> <chr> <chr> <chr> <dttm>
#> 1 1444 Mr Mark Franco… Rayleigh and Wickf… M 1965-08-14 00:00:00
#> 2 4133 Andrew Bridgen North West Leicest… M 1964-10-28 00:00:00
#> 3 47 Sir Gerald How… Aldershot M 1947-09-12 00:00:00
#> 4 3977 Chris Heaton-H… Daventry M 1967-11-28 00:00:00
#> 5 40 Sir Bernard Je… Harwich and North … M 1959-04-09 00:00:00
#> 6 4140 Mr David Nutta… Bury North M 1962-03-25 00:00:00
#> # ... with 5 more variables: laying_minister_name <chr>,
#> # house_start_date <dttm>, current_role <chr>, amount_claimed <dbl>,
#> # subscription_count <dbl>


ZwWdP 26-04-2011
|
Zeit |
Interpret |
Titel |
|
20 h |
The Style Council |
Have You Ever Had It Blue |
|
|
Boffa Longo |
Dancing In The Moonlight |
|
|
The Icicle Works |
Evangeline |
|
|
Tahiti 80 |
Easy (Ken Stringfellow Remix) |
|
|
Jonathan Jeremiah |
Never Gonna |
|
|
Electronic |
Getting Away With It |
|
|
The Association |
Happiness Is |
|
|
Depeche Mode |
Freelove (Bertrand Burgalat Version) |
|
|
Ministry |
Work For Love (12" Version) |
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Boz Scaggs |
Lido Shuffle |
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High Llamas |
Fly Baby, Fly |
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Brown Recluse |
Night Train |
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The Icicle Works |
Travelling Chest |
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Yesterday's New Quintet |
Superwoman / Where Were You Last Winter |
|
21 h |
Donald Fagen |
Century's End |
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David Bowie |
Golden Years |
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Goro Ito |
Happiness |
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The Leisure Society |
Something |
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Alexandria Quartet |
Rip Off Jesus |
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Brown Recluse |
Paisley Tears |
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Brown Recluse |
Statue Garden |
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Expo |
The First Umbrella |
|
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Precieux |
Maman j'aime ca |
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Mekon |
Please Stay (feat. Marc Almond) |
|
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Koushik |
Be With |
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|
The Dream Academy |
Love |
|
|
Momus |
Born To Be Adored |
|
|
Joe Mubare |
I Love You |
|
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Fenomenon |
The B-Minor Suite / Clair de Lune |
|
22 h |
David Sylvian |
Orpheus |
|
|
Crustation |
Purple |
|
|
Stevie Wonder |
You And I |
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|
Moose Hill |
Captain Coo |
|
|
Erland & The Carnival |
Nothing Can Remain |
|
|
Chris Farlowe |
Handbags And Gladrags |
|
|
Ed Harcourt |
50 Ways To Leave Your Lover |
|
|
Penguin Café |
Landau |
|
|
Paul Williams |
Rainy Days And Mondays |
|
|
Expo |
Katy Why |
|
|
Rupert Holmes |
Him |
|
|
Lisa Hannigan |
Playground Love |
|
|
Timber Timbre |
Lady Down In The Tall Grass |


Ohio House OKs bill expanding religious freedom in schools
by EndPlayCOLUMBUS, Ohio (AP) - The Republican-dominated Ohio House has approved a bill expanding religious freedom in public schools and allow students to engage in religious expression in their school assignments.
The measure was sent to the Senate Wednesday after a 61-31 vote.
The bill would remove a current provision limiting expressions of religious beliefs by public school students to lunch and non-instructional periods and would allow them to gather as students do for secular activities.
It also says schools can't prohibit students from religious expression in homework, artwork or other assignments and teachers cannot penalize or reward work based on its religious content.
Republican sponsor Rep. Timothy Ginter told Cleveland.com work that should be graded using ordinary academic standards and assignments could still receive a lesser grade if they don't reflect what's being taught.


Note: To complete the procedures in this document, you must be assigned a role having the necessary permissions. To determine your role, follow the directions in Participant roles. For a basic understanding of roles and permissions, see Permissions and roles: Overview.
In the Syllabus tool, you can reorder items by clicking
Create/Edit
, and then using the Move Up
or Move
Down
buttons. To save your changes, click Update
.


{% extends 'base.html'%} {%block title%} Login Here {%endblock%} {%load crispy_forms_tags%} {%block content%}
Not yet Registered? Register Here


Traffic Speed
0 mph to 2 mph
2 mph to 5 mph
5 mph to 10 mph
10 mph to 15 mph
15 mph to 35 mph
> 35 mph


getenv
Syntax
getenv ( symbol : string ) : string
Description
The getenv function is used to access the environment string whose name is symbol. These strings are determined by the shell (command processor) or the program that caused your program to run. See also the nargs and fetcharg functions.
Example
On a PC, this retrieves the environment variable USERLEVEL and prints extra instructions if USERLEVEL had been set to NOVICE. USERLEVEL can be set to NOVICE with the command SET USERLEVEL = NOVICE in the autoexec.bat file or in any batch file.
const userLevel : string
userLevel := getenv ("USERLEVEL")
if userLevel = "NOVICE" then
% put a set of instructions
end if
See also
See also predefined unit Sys.


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Function is a group of statements that together perform a task. Every C program has at least
one function, which is main(), and all the most trivial programs can define additional
functions.
You can divide up your code into separate functions How you divide up your code among
different functions is up to you, but logically the division usually is so each function performs a specific task.
A function declaration tells the compiler about a function's name, return type, and parameters. A function definition provides
the actual body of the function.
The C standard library provides numerous built-in functions that your program can call. For
example, function strcat() to concatenate two strings, function memcpy() to copy one
memory location to another location and many more functions.
A function is known with various names like a method or a sub-routine or a procedure, etc.
return_type function_name( parameter list ) { body of the function }>
As per the synatx there are four parts in a function which are:
Example:
This function is to find the max between the two numbers.
/* function returning the max between two numbers */ int max(int num1, int num2) { /* local variable declaration */ int result; if (num1 > num2) result = num1; else result = num2; return result; }
A function declaration tells the compiler about a function name and how to call the function. The actual body of the function can be defined separately. A function declaration has the following parts:
return_type function_name( parameter list );
For the above defined function max(), following is the function declaration:
int max(int num1, int num2);
Parameter names are not important in function declaration only their type is required, so following is also valid declaration:
int max(int, int);
Function declaration is required when you define a function in one source file and you call that function in another file. In such case you should declare the function at the top of the file calling the function.
While creating a C function, you give a definition of what the function has to do. To use a function, you will have to call that function to perform the defined task.
When a program calls a function, program control is transferred to the called function. A called function performs defined task, and when its return statement is executed or when its function-ending closing brace is reached, it returns program control back to the main program.
To call a function, you simply need to pass the required parameters along with function name, and if function returns a value, then you can store returned value. For example:
#include/* function declaration */ int max(int num1, int num2); int main () { /* local variable definition */ int a = 100; int b = 200; int ret; /* calling a function to get max value */ ret = max(a, b); printf( "Max value is : %d\n", ret ); return 0; } /* function returning the max between two numbers */ int max(int num1, int num2) { /* local variable declaration */ int result; if (num1 > num2) result = num1; else result = num2; return result; }
Ouput:
Max value is : 200
If a function is to use arguments, it must declare variables that accept the values of the arguments. These variables are called the formal parameters of the function.  While calling a function, there are two ways that arguments can be passed to a function:
#include/* function definition to swap the values */ void swap(int x, int y) { int temp; temp = x; /* save the value of x */ x = y; /* put y into x */ y = temp; /* put x into y */ return; } int main () { /* local variable definition */ int a = 100; int b = 200; printf("Before swap, value of a : %d\n", a ); printf("Before swap, value of b : %d\n", b ); /* calling a function to swap the values */ swap(a, b); printf("After swap, value of a : %d\n", a ); printf("After swap, value of b : %d\n", b ); return 0; }
Output:
After swap, value of a :100 After swap, value of b :200
The call by reference method of passing arguments to a function copies the address of an argument into the formal parameter. Inside the function, the address is used to access the
actual argument used in the call. This means that changes made to the parameter affect the passed argument.
To pass the value by reference, argument pointers are passed to the functions just like any other value. So accordingly you need to declare the function parameters as pointer
types as in the following function swap().
#include/* function definition to swap the values */ void swap(int *x, int *y) { int temp; temp = *x; /* save the value at address x */ *x = *y; /* put y into x */ *y = temp; /* put x into y * return; } int main () { /* local variable definition */ int a = 100; int b = 200; printf("Before swap, value of a : %d\n", a ); printf("Before swap, value of b : %d\n", b ); /* calling a function to swap the values. * &a indicates pointer to a ie. address of variable a and * &b indicates pointer to b ie. address of variable b. */ swap(&a, &b); printf("After swap, value of a : %d\n", a ); printf("After swap, value of b : %d\n", b ); return 0; }
Output:
Before swap, value of a :100 Before swap, value of b :200 After swap, value of a :100 After swap, value of b :200


CSV Upload
Upload CSV data here before selecting a task below...
CSV Sample File
Download a sample CSV file below...
Individual Tasks
Deployment steps using CSV upload
|
|
Add Devices |
|
|
License Devices |
|
|
Move Devices To Group |
|
|
Move Devices To Site |
|
|
Rename Devices |
|
|
Auto Rename Access Points |
|
|
Update Device Variables |
|
|
Update Switch Port Descriptions |
Automated Tasks
Automated deployment using CSV upload
|
|
Add Devices + License |
|
|
Add Devices + Add to Group |
|
|
Add Devices + License + Add to Group |
|
|
Move Devices To Site + Rename APs |
|
|
Move Devices To Site + Auto Rename APs |
|
|
Rename APs + Update Port Descriptions |
|
|
Move To Site + Auto Rename APs + Update Port Descriptions |


Bachelors of Science in Software Engineering
Graduated: September 2016
Keiser University Sarasota, Florida
Education
Bachelors of Interdisciplinary Studies
Graduate: September 2016
Keiser University Sarasota, Florida
Web Design Certification of Completion
Earned: June 2012
Manatee Technical Institute
Skills & Course Work
| Microsoft Office 2016/365 | Html5, CSS3 |
| Database Management Systems | Java Programming 1 |
| Project Management | C# programming 1 |
| Professional Writing | web systems |
work experience
internship
Omnicell, St. Pete Florida 03/2016 - 11/2016
title: Software Quality Assuarance Engineer Intern
- Document text case
- Create test cases.
- Execute test cases and if neccesary, report findings to developers for correction
work
Publix Super Markets 10/2005 - Present
cashier
- Money handling
- customer service
- phone etiquette
achievements
- Helped achieve in producing 3,200 cards on the M5000 machine, at Omnicell in testing.
- Worked independently and in a small team to help achieve goal oriented results.


This page will be filled in during 2016. In the meantime you can find the information from WULF Release Plan pages.