(#) Missing @Keep for Animated Properties !!! WARNING: Missing @Keep for Animated Properties This is a warning. Id : `AnimatorKeep` Summary : Missing @Keep for Animated Properties Severity : Warning Category : Performance Platform : Android Vendor : Android Open Source Project Feedback : https://issuetracker.google.com/issues/new?component=192708 Affects : Kotlin and Java files and resource files Editing : This check runs on the fly in the IDE editor Implementation : [Source Code](https://cs.android.com/android-studio/platform/tools/base/+/mirror-goog-studio-main:lint/libs/lint-checks/src/main/java/com/android/tools/lint/checks/ObjectAnimatorDetector.kt) Tests : [Source Code](https://cs.android.com/android-studio/platform/tools/base/+/mirror-goog-studio-main:lint/libs/lint-tests/src/test/java/com/android/tools/lint/checks/ObjectAnimatorDetectorTest.kt) Copyright Year : 2016 When you use property animators, properties can be accessed via reflection. Those methods should be annotated with @Keep to ensure that during release builds, the methods are not potentially treated as unused and removed, or treated as internal only and get renamed to something shorter. This check will also flag other potential reflection problems it encounters, such as a missing property, wrong argument types, etc. !!! Tip This lint check has an associated quickfix available in the IDE. (##) Example Here is an example of lint warnings produced by this check: ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~text src/main/java/test/pkg/AnimatorTest.java:55:Warning: This method is accessed from an ObjectAnimator so it should be annotated with @Keep to ensure that it is not discarded or renamed in release builds [AnimatorKeep] public void setProp1(int x) { --------------- src/main/java/test/pkg/AnimatorTest.java:58:Warning: This method is accessed from an ObjectAnimator so it should be annotated with @Keep to ensure that it is not discarded or renamed in release builds [AnimatorKeep] private void setProp2(float x) { ----------------- ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Here is the source file referenced above: `src/main/java/test/pkg/AnimatorTest.java`: ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~java linenumbers package test.pkg; import android.animation.ObjectAnimator; import android.animation.PropertyValuesHolder; import androidx.annotation.Keep; import android.view.View; import android.widget.Button; import android.animation.FloatEvaluator; @SuppressWarnings("unused") public class AnimatorTest { public void testObjectAnimator(Button button) { Object myObject = new MyObject(); ObjectAnimator animator1 = ObjectAnimator.ofInt(myObject, "prop1", 0, 1, 2, 5); animator1.setDuration(10); animator1.start(); // Incorrect type (float parameter) warning ObjectAnimator.ofInt(myObject, "prop2", 0, 1, 2, 5).start(); // Missing method warning ObjectAnimator.ofInt(myObject, "unknown", 0, 1, 2, 5).start(); // Static method warning ObjectAnimator.ofInt(myObject, "prop3", 0, 1, 2, 5).start(); // OK: Already marked @Keep ObjectAnimator.ofInt(myObject, "prop4", 0, 1, 2, 5).start(); // OK: multi int ObjectAnimator.ofMultiInt(myObject, "prop4", new int[0][]).start(); // OK: multi int ObjectAnimator.ofMultiFloat(myObject, "prop5", new float[0][]).start(); // View stuff ObjectAnimator.ofFloat(button, "alpha", 1, 5); // TODO: Warn about better method?, e.g. button.animate().alpha(...) ObjectAnimator.ofArgb(button, "alpha2", 1, 5); // Missing } public void testPropertyHolder() { Object myObject = new MyObject(); PropertyValuesHolder p1 = PropertyValuesHolder.ofInt("prop1", 50); PropertyValuesHolder p2 = PropertyValuesHolder.ofFloat("prop2", 100f); ObjectAnimator.ofPropertyValuesHolder(myObject, p1, p2).start(); ObjectAnimator.ofPropertyValuesHolder(myObject, PropertyValuesHolder.ofInt("prop1", 50), PropertyValuesHolder.ofFloat("prop2", 100f)).start(); } private static class MyObject { public void setProp1(int x) { } private void setProp2(float x) { } public static void setProp3(int x) { } @Keep public void setProp4(int[] x) { } @Keep public void setProp5(float[] x) { } @Keep public void setProp4(int x) { } @Keep public void setProp5(float x) { } } public void testEvaluators() { Object myObject = new MyObject(); PropertyValuesHolder p1 = PropertyValuesHolder.ofObject("prop5", new FloatEvaluator()); ObjectAnimator.ofPropertyValuesHolder(myObject, p1); ObjectAnimator.ofObject(myObject, "prop5", new FloatEvaluator(), 1f, 2f); } } ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ You can also visit the [source code](https://cs.android.com/android-studio/platform/tools/base/+/mirror-goog-studio-main:lint/libs/lint-tests/src/test/java/com/android/tools/lint/checks/ObjectAnimatorDetectorTest.kt) for the unit tests for this check to see additional scenarios. The above example was automatically extracted from the first unit test found for this lint check, `ObjectAnimatorDetector.testBasic`. To report a problem with this extracted sample, visit https://issuetracker.google.com/issues/new?component=192708. (##) Suppressing You can suppress false positives using one of the following mechanisms: * Using a suppression annotation like this on the enclosing element: ```kt // Kotlin @Suppress("AnimatorKeep") fun method() { ofInt(...) } ``` or ```java // Java @SuppressWarnings("AnimatorKeep") void method() { ofInt(...); } ``` * Using a suppression comment like this on the line above: ```kt //noinspection AnimatorKeep problematicStatement() ``` * Adding the suppression attribute `tools:ignore="AnimatorKeep"` on the problematic XML element (or one of its enclosing elements). You may also need to add the following namespace declaration on the root element in the XML file if it's not already there: `xmlns:tools="http://schemas.android.com/tools"`. ```xml <?xml version="1.0" encoding="UTF-8"?> <android.support.constraint.motion.MotionLayout xmlns:tools="http://schemas.android.com/tools" tools:ignore="AnimatorKeep" ...> ... </android.support.constraint.motion.MotionLayout> ``` * Using a special `lint.xml` file in the source tree which turns off the check in that folder and any sub folder. A simple file might look like this: ```xml <?xml version="1.0" encoding="UTF-8"?> <lint> <issue id="AnimatorKeep" severity="ignore" /> </lint> ``` Instead of `ignore` you can also change the severity here, for example from `error` to `warning`. You can find additional documentation on how to filter issues by path, regular expression and so on [here](https://googlesamples.github.io/android-custom-lint-rules/usage/lintxml.md.html). * In Gradle projects, using the DSL syntax to configure lint. For example, you can use something like ```gradle lintOptions { disable 'AnimatorKeep' } ``` In Android projects this should be nested inside an `android { }` block. * For manual invocations of `lint`, using the `--ignore` flag: ``` $ lint --ignore AnimatorKeep ...` ``` * Last, but not least, using baselines, as discussed [here](https://googlesamples.github.io/android-custom-lint-rules/usage/baselines.md.html).


ZERO TO HERO - JAVASCRIPT
JAVASCRIPT FUNDAMENTALS
- HELLO WORLD
- VALUES AND VARIABLES
- DATA TYPES
- LET, CONST, VAR
- OPERATORS
- STRINGS AND TEMPLATE LITERALS
- IF ELSE STATEMENT
- TYPE CONVERSION AND COERCION
- EQUALITY OPERATORS
- BOOLEAN LOGIC
- SWITCH STATEMENT
- STATEMENT AND EXPRESSIONS
- ACTIVATION OF STRICT MODE
- FUNCTIONS
- ARROW FUNCTIONS
- FUNCTIONS CALLING OTHER FUNCTIONS
- ARRAY AND IT'S OPERATIONS
- OBJECTS
- LOOPING ARRAYS, BREAKING AND CONTINUING
- WHILE LOOP
- DOM AND DOM MANIPULATION
- HANDLING CLICK EVENTS
HOW JAVASCRIPT WORKS BEHIND THE SCENES
- JAVASCRIPT ENGINE AND RUNTIME
- EXECUTION CONTEXT AND CALL STACK
- SCOPE & SCOPE CHAIN
- VARIABLE ENVIRONMENT: HOISTING
- this KEYWORD
- REGULAR FUNCTIONS VS ARROW FUNCTIONS
- PRIMITIVE VS OBJECTIVE
DATASTRUCTURES, MORDERN OPERATORS AND STRINGS
- DESTRUCTURING ARRAYS
- DESTRUCTURING OBJECTS
- SPREAD OPERATOR
- REST PATTERN AND PARAMETER
- SHORT CIRCUTING
- NULLISH COALESCAPING OPERATOR
- LOOPING ARRAYS
- ENHANCED OBJECT LITERALS
- SETS
- MAPS: FUNDAMENTALS
- MAPS: ITERATION
- SHORT CIRCUTING
- WORKING WITH STRINGS


|
Class Summary |
| AddItemToOrder |
This action takes is responsible for creating a CommerceItem object from the passed product,
sku, and quantity parameters and adding it to the first order that is in a state of INCOMPLETE. |
| ClosenessQualifierDroplet |
This droplet consolidates all of the different types of closenessQualifiers
(item, order, shipping, tax) of the current order into a single List and returns
it in an output parameter. |
| ClosenessQualifierImportExportInfo |
This class contains all of the information about a closeness qualifier
as required by the Promotions Import Export API. |
| CouponDroplet |
This droplet is used to create coupon objects in the claimable repository. |
| CouponFormHandler |
This FormHandler is used to "claim" a promotion and then stick this promotion into
the users current list of promotions. |
| CouponImportExportInfo |
This class contains all of the information about a coupon, in relation
to the Promotions Import Export API. |
| DisqualifyRemovedItemClosenessQualifiers |
This action sends PromotionClosenessDisqualification events for all
closenessQualifiers in an item that was removed from an order. |
| GiftWithPurchaseFormHandler |
This formhandler is used to make a gift selection for a gift with purchase promotion. |
| GiftWithPurchaseSelection |
Class to represent a single gift selection available for a gift with purchase promotion. |
| GiftWithPurchaseSelectionChoice |
Bean class to hold gift with purchase promotion selection choices. |
| GiftWithPurchaseSelectionChoicesDroplet |
Droplet to retrieve all of the products and skus available for selection for a gift with purchase gift. |
| GiftWithPurchaseSelectionsDroplet |
Droplet to retrieve all of the gift with purchase selection on an order or a commerce item. |
| GWPManager |
Provides API to manage Gift With Purchase promotions adding and removing gifts to the cart. |
| PromotionAction |
|
| PromotionConverter |
Converts promotion id's into promotion
names for Xref items |
| PromotionDroplet |
Associates required param "promotion" with optional param "profile". |
| PromotionImportExport |
This is the main class for the Promotions Import Export API. |
| PromotionImportExportInfo |
This class contains all of the information about a promotion, in relation
to the Promotions Import Export API, including coupons and closeness qualifiers. |
| PromotionImportExportSession |
This class contains the details of an import export session which
uses the Promotions Import Export API. |
| PromotionImportExportStatus |
This class details the status information for a promotions
import transaction. |
| PromotionImportExportTools |
|
| PromotionServlet |
The PromotionServlet allows a promotion to be added to a users profile
via a URL. |
| PromotionTools |
Utility service with methods to help process promotions. |
| PromotionUpsellProductTargeter |
This targeter returns all upsellProducts in the upsellAction repository items
associated with the closenessQualifiers contained in the session's current order. |
| PromotionUpsellTargeter |
This targeter returns all closenessQualifiers associated with the current
session's order. |
| PromotionUpsellTools |
This tools class is used by the ClosenessQualifierDroplet and the PromotionUpsell
targeter to compile lists of closenessQualifiers. |
| PromotionUsed |
This message will be sent when an order is processed and contains
promotions which were used. |
| PromotionXrefParser |
Parses out xrefs for promotions |
| RemovePromotionAction |
|


{block name="css"}{/block}
{include file="public:menu"/}
{include file="public:header"/} {block name="main"}{/block} {include file="public:footer"/}
{block name="js"}{/block}


Target Distance: set
wind:
PSI:
angle:
distance (as configured):
Need more pressure?
Ready!.. Launch!


Bookmarks Menu
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tensorflow
- Activation Functions | Fundamentals Of Deep Learning
- Anaconda, Jupyter Notebook, TensorFlow and Keras for Deep Learning | by Margaret Maynard-Reid | Medium
- TensorFlow — Anaconda documentation
- conda-cheatsheet.pdf
- Mnist :: Anaconda Cloud
- CarND-Term1-Starter-Kit/configure_via_anaconda.md at master · udacity/CarND-Term1-Starter-Kit


Define the participants, the criteria and see who wins the trophy.
Soccer team formations made fun. Drag your players to the pitch and share it with your friends.
Simple app to know when to go to bed depending on your sleep cycles. Used to learn HTML5 Canvas and Twitter Bootstrap.
More in LinkedIn


{% for plan_version in plan_versions %} {% if is_version_detail_page %}
You are viewing the latest version of the plan "{{ plan_name }}".
{% else %}You are viewing an older version of the plan "{{ plan_name }}".
View the latest version of this plan.
{% endif %}If you want to make a new version of this plan or view summaries of older plans, please visit the edit software plan page.
Date Created: {{ plan_version.date_created }}
Role: {{ plan_version.role }}
| Name | Monthly Fee |
|---|---|
| {{ plan_version.product_rate }} | {{ plan_version.product_rate.monthly_fee }} |
| Name | Type | Free limit | Per excess fee | Monthly fee |
|---|---|---|---|---|
| {{ feature_rate.feature.name }} | {{ feature_rate.feature.feature_type }} | {{ feature_rate.monthly_limit }} | {{ feature_rate.per_excess_fee }} | {{ feature_rate.monthly_fee }} |


{% extends "base.html" %} {% block body %}
This is where I keep a list of all the little hobby applications I've put together.


Welcome to the Intuit Boot Camp Demonstration Class!
this is h2 text
this is h3 text
this is h4 text
this is a para
Jill
Smith
50
Eve
Jackson
94
John
Doe
80


{% extends "base.html" %} {% block content %}
New Post
by {{ obj.user.get_full_name }}
by {{ obj.user }}
Posted on {{ obj.publish }}
{{ obj.contenido | linebreaks | truncatechars:700 }}
Read More


Food and Agriculture Organization for the United Nations
Website
Food and Agriculture Organization Site: An agency of the United Nations focused on food security in over 130 countries. Click HERE to find out more.
Download
Click HERE to download the data from Kaggle. Data spans years 1961 to 2013, and was last updated December 2017.
Portfolio
These are our projects!
Over the Years
A Timeline Comparison
Big Picture
Where in the World is my Food?
Regional Specialties
Food Groups Unpacked
Our Amazing Team
None of this would be possible without every one of us.
Khoury Ibrahim
Data Science Consultant
Alark Joshi
Best Prof Eva
Danielle Savage
Data Science Consultant
Thanks for Visiting!
Contact Us
Let us know what you think our next project should be.
SeeFood
Where Does Your Food Come From?
The map above displays the total number of tons of food & feed each country has produced for the year 2013.
Using the drop down menu, one can select a region to get a closer up, isolated view.
Hovering over a country shows the exact aggregate tonnage.
A Timeline Comparison
Looking at Food Production over the Years
The time series plot above show how each region’s annual food & feed production in tons has evolved from 1961 to 2013.
Hovering over the trend line on each graph shows the exact year/tonnage coordinates.
On this region overview page, y-axes have been scaled to be the same for more intuitive comparison between regions.
Click on the region name above any graph to see a breakdown of every country in that region.
Regional Specialties
Breakdown of Food Groups
The bar charts below above the categorical breakdown of each region’s food & feed production in tons for year 2013.
Hovering over bars shows the exact amount of tonnage in each category.
On this region overview page, y-axes have been scaled to be the same for more intuitive comparison between regions.
Click on the region name above any graph to see a breakdown of every country in that region.


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About This Project
We want to know our project.The project is "Who Is Who In Myanmar".We used UI/UX update design for our project.We can also used Materialize CSS or Materialize Design Lite(MDL).
Many kinds of partitions in Myanmar.Among them,describe any five partitions in Myanmar.It include Candidates from Parties,Member of Parliament(Union,State,Region),Business Leaders,Modern Historical Figures(33 Comrades,Freedom Figters,Regional Leaders,etc..) and Celebrities(Beauty Pageants,Models,Actors,Vocalists,Directors,Promoters,Socialites,Social Media Influence,etc...).


Reports: Texans claim former Bucs CB Hargreaves
The Houston Texans claimed former Tampa Bay Buccaneers cornerback Vernon Hargreaves off waivers on Wednesday, the team announced.
The former first-round pick (11th overall in 2016) was waived by the Bucs on Tuesday, two days after he was benched for what head coach Bruce Arians deemed a lack of hustle on a long catch-and-run by the Arizona Cardinals.
Hagreaves, 24, led all Buccaneers cornerbacks in defensive snaps (582, 92.2 percent) this season before being let go. He had four pass breakups and one interception — returned for a touchdown — in nine games, all starts.
A Florida product in his fourth season, Hargreaves battled injuries the last two seasons, being limited to 10 total games (eight starts) from 2017-18. In 35 career games (33 starts), he has 19 pass breakups and two interceptions.
In the spring, the Buccaneers picked up Hargreaves’ fifth-year option on his rookie contract, which would be worth $9.954 million in 2020. That remains intact, although the money is guaranteed only for injury.
Houston released cornerback Briean Boddy-Calhoun to make room on the roster. The 26-year-old played in one game for the club and had a sack and forced fumble.
The Texans have been in flux at the cornerback position much of the season.
They released slot man Aaron Colvin in September after just one game in his second year of a four-year, $34 million contract. Starter Bradley Roby hasn’t played since Week 6 due to a hamstring injury, and the team traded a third-round pick to Oakland in October for Gareon Conley, who has started both games since arriving in Houston.
—Field Level Media


Related stories about the flu:
by Catherine Arnold- You can infect your pet with the flu simply by being near them when you’re sick and petting them.
- The flu virus mainly infects warm-blooded mammals and birds, which means dogs and cats are susceptible but lizards and turtles are not.
- Symptoms include mild cough, difficulty breathing, sneezing, and reduced appetite.
- Contact your veterinarian immediately if your pet shows signs of the flu.
- This article was reviewed by Andrew Bowman, MD, DVM, who is an associate professor with the Department of Veterinary Preventive Medicine at Ohio State.
- Visit Insider’s homepage for more stories.
Hugs, pats, hanging out. These are all things you do on the regular with your pet.
Since the flu is mostly spread through the air, your pet can get infected just by being close to you while you’re sick. And it can be especially bad when the flu virus jumps between species because the receiving species generally hasn’t built an immunity to that particular viral strain. Like when the H1N1 flu virus jumped from swine to humans in 2009, sparking the influenza pandemic that killed an estimated 150,000 to 600,000 people from 2009 to 2010 and a few cats, as well.
Warning signs that your pet might be sick with influenza include:
- Mild cough
- Difficulty breathing
- Sneezing
- Reduced appetite
- Lethargy
- Eye discharge
- Fever
Which pets you can infect with the flu
Common pets at risk of infection include:
- Dogs
- Cats
- Guinea pigs
- Hamsters
- Ferrets
- Birds
That’s because the flu virus that can jump from humans to their pets mainly infects warm-blooded mammals and birds.
So pets who are not at risk of infections include:
- Turtles
- Lizards
- Snakes
- Fish
- Other cold-blooded animals
What to do if your dog has the flu
Contact your veterinarian immediately if your dog shows signs of the flu.
“Canine influenza is a serious, highly contagious infectious disease,” says Jennifer Kasten, a veterinarian at Tomlyn Veterinary Science.
A vet’s diagnosis is necessary to figure out treatment options and give the best care. A vet can also diagnose whether your dog has canine influenza or potentially kennel cough, both of which are highly contagious.
Before your visit to the vet, let your veterinarian know you’ll be heading in because respiratory infections can be highly contagious, so your vet may want to isolate your pet from other patients.
What to do if your cat has the flu
Again, take your cat to the veterinarian right away. Especially since the flu virus has a track record of killing cats.
Between 2009 to 2011, the American Veterinary Medical Association reported 12 cases of cats infected with the flu virus, five of whom died. And in all those cases, the cat contracted the virus either from an infected human or infected cat.
For example, in 2009, a cat in Oregon died of H1N1 flu complications after its owner was hospitalized with the same strain of the flu.
Moreover, the veterinarian can diagnose whether this is the flu, feline herpes virus-1, or another condition, which will determine the best method of treatment.
Likewise, let your vet know you’re coming since they will probably want to isolate cat from other patients to prevent further infection.
How long the flu will last in your pet
Depending on the severity of the case, most pets recover in two to three weeks. In certain cases, vets may provide a nutritional plan or prescribe nonsteroidal anti-inflammatory medications to reduce fevers or antibiotics for secondary bacterial infections.
To help ease their symptoms, treat your pet the same way you’d treat yourself. Provide support and liquids and keep the animal comfortable.
- How to prevent the flu, according to doctors
- Yes, the flu is contagious. Here’s when you’re most likely to spread the virus
- You can’t get the flu from the flu shot, but there are side effects
- How long the flu should last and when you should see a doctor
- The flu vaccine is not 100% effective but you should still get it every year


Provides a system for reporting messages, which provides certain useful features over the standard R system, such as the incorporation of output consolidation, message filtering, assertions, expression substitution, automatic generation of stack traces for debugging, and conditional reporting based on the current "output level".
| Version: | 1.3.0 |
| Imports: | ore |
| Suggests: | testthat (≥ 0.11.0) |
| Published: | 2018-10-26 |
| Author: | Jon Clayden |
| Maintainer: | Jon Clayden <code at clayden.org> |
| BugReports: | https://github.com/jonclayden/reportr/issues |
| License: | GPL-2 |
| URL: | https://github.com/jonclayden/reportr |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | reportr results |
| Reference manual: | reportr.pdf |
| Package source: | reportr_1.3.0.tar.gz |
| Windows binaries: | r-devel: reportr_1.3.0.zip, r-release: reportr_1.3.0.zip, r-oldrel: reportr_1.3.0.zip |
| OS X binaries: | r-release: reportr_1.3.0.tgz, r-oldrel: reportr_1.3.0.tgz |
| Old sources: | reportr archive |
| Reverse imports: | hybridEnsemble, soma, tractor.base |
| Reverse suggests: | RNifti |
Please use the canonical form https://CRAN.R-project.org/package=reportr to link to this page.


"""Own implementation of a 2D vector class.
"""
from __future__ import annotations
from typing import Union, Any, SupportsFloat
import numbers
from math import sqrt
from functools import total_ordering
[docs]@total_ordering
class Vector2D:
"""Vector2D class to perform simple vector operations.
"""
[docs] def __init__(self, x: SupportsFloat = 0, y: SupportsFloat = 0):
"""Creates a vector instance with the given x and y values.
Parameters
----------
x : number
x-Coordinate, by default 0
y : number
y-Coordinate, by default 0
Raises
------
TypeError
If x or y are not a number.
"""
if isinstance(x, numbers.Real) and isinstance(y, numbers.Real):
self.x = x
self.y = y
else:
raise TypeError('You must pass in int/float values for x and y!')
[docs] def __call__(self) -> str:
"""Callable for the vector instance to return its representation.
Returns
-------
str
The representation of the vector instance.
"""
print("Calling the __call__ function!")
return self.__repr__()
[docs] def __repr__(self) -> str:
"""The vector instance representation.
Returns
-------
str
The representation of the vector instance.
"""
return 'vector.Vector2D({}, {})'.format(self.x, self.y)
[docs] def __str__(self) -> str:
"""The vector instance as a string.
Returns
-------
str
The vector instance as a string.
"""
return '({}, {})'.format(self.x, self.y)
[docs] def __bool__(self) -> bool:
"""Returns the truth value of the vector instance.
Returns
-------
bool
True, if the vector is not the Null-vector
False, else
"""
return bool(abs(self))
[docs] def __abs__(self) -> float:
"""Returns the length (magnitude) of the vector instance
Returns
-------
float
Length of the vector instance.
"""
return sqrt(self.x**2.0 + self.y**2.0)
[docs] def check_vector_types(self, vector2: Vector2D):
"""Checks if the self and vector2 are an instance of the Vector2D class.
Parameters
----------
vector2 : Vector2D
Other vector (right of the operator).
Raises
------
TypeError
If self, or vector2 are not an instance of the Vector2D class.
"""
if not isinstance(self, Vector2D) or not isinstance(vector2, Vector2D):
raise TypeError('You have to pass in two instances of the vector class!')
[docs] def __eq__(self, other_vector: Any) -> bool:
"""Check if the vector instances have the same values.
Parameters
----------
other_vector : Vector2D
Other vector instance (right-hand-side of the operator)
Returns
-------
bool
True, if the both vector instances have the same values.
False, else.
"""
self.check_vector_types(other_vector)
is_equal = False
if self.x == other_vector.x and self.y == other_vector.y:
is_equal = True
return is_equal
[docs] def __lt__(self, other_vector: Vector2D) -> bool:
"""Check if the self instance is less than the other vector instance.
Parameters
----------
other_vector : Vector2D
Other vector instance (right-hand-side of the operator)
Returns
-------
bool
True, if the self instance is less than the other vector instance.
False, else.
"""
self.check_vector_types(other_vector)
is_less_than = False
if abs(self) < abs(other_vector):
is_less_than = True
return is_less_than
[docs] def __add__(self, other_vector: Vector2D) -> Vector2D:
"""Returns the additon vector of the self and the other vector instance.
Parameters
----------
other_vector : Vector2D
Other vector instance (right-hand-side of the operator)
Returns
-------
Vector2D
The additon vector of the self and the other vector instance
"""
self.check_vector_types(other_vector)
x = self.x + other_vector.x
y = self.y + other_vector.y
return Vector2D(x, y)
[docs] def __sub__(self, other_vector: Vector2D) -> Vector2D:
"""Returns the subtraction vector of the self and the other vector instance.
Parameters
----------
other_vector : Vector2D
Other vector instance (right-hand-side of the operator)
Returns
-------
Vector2D
The subtraction vector of the self and the other vector instance
"""
self.check_vector_types(other_vector)
x = self.x - other_vector.x
y = self.y - other_vector.y
return Vector2D(x, y)
[docs] def __mul__(self, other: Union[Vector2D, SupportsFloat]) -> Union[Vector2D, SupportsFloat]:
"""Returns the multiplication of the self vector and the other vector(or number) instance.
Parameters
----------
other : Vector2D or number
Other vector instance or scaler value (right-hand-side of the operator)
Returns
-------
Vector2D
The multiplication of the self vector and the other vector(or number) instance
"""
if isinstance(other, Vector2D):
return self.x * other.x + self.y * other.y
elif isinstance(other, numbers.Real):
return Vector2D(self.x * other, self.y * other)
else:
raise TypeError('You must pass in a vector instance or an int/float number!')
[docs] def __truediv__(self, other: SupportsFloat) -> Vector2D:
"""Returns the multiplication of the self vector and the other vector(or number) instance.
Parameters
----------
other : Vector2D or number
Other vector instance or scaler value (right-hand-side of the operator)
Returns
-------
Vector2D
The multiplication of the self vector and the other vector(or number) instance
"""
if isinstance(other, numbers.Real):
if other != 0.0:
return Vector2D(self.x / other, self.y / other)
else:
raise ValueError('You cannot divide by zero!')
else:
raise TypeError('You must pass in an int/float value!')


Done! Now share the following link(s): {% for id in ids %}
http://{{ host}}{% url 'download' id %}
{% endfor %}
New upload


|
Screen Name |
Parameter |
Description |
Used by Categories |
|
Layer |
pp_layer |
Defines which layers should be processed. Its value may be a single layer name or an expression. Any layer may be used. Layer name can be entered according to the following rules: The layer name field can contain a filter that allows
the application of a single process on multiple layers. The layer filter
expression is processed as follows: 1.
The expression is broken into sub-expressions with a semi colon
(;) delimiter. 2.
Each sub expression can be: *
Any specific layer name/s or wild card expression
Each layer in the step is compared against all sub expressions.
The Action will apply if the layer passes any one of them. Work layer is also considered Affected. Layer Field Syntax
A layer
filter expression should: * Always start with a
single dot ( . ) to differentiate
it from any layer specified name(s) or wild card expression. * Consists of
expressions, separated by '&' characters (logical and ) or | character
(logical or ). An
expression can be one of the following: <key> = <value> | <value> .. Values of <key> can be one of the following: Type
(signal, power_ground, mixed, solder_mask, silk_screen solder_paste, drill,
rout, document)
side top, bottom, inner, outer, nonecontext board, miscpol positive, negativename Name of layer (no semicolons, no wildcards)wname
A list of wildcard expressions delimited by semi-colons.
rname A regular expression. This filter works like wname, but accepts regular expressions similar to those accepted by the UNIX command: egrep . Any number of expressions can be combined in the same filter with an & (AND). Examples comp;sold;il1;il2 Action will
work on the specified layer list .affected Action will
work on all current affected layers .name=smt this is
equivalent to just writing smt .type=signal|mixed&side=top|bottom all layers
whose type is signal
or mixed and which side is either top or bottom .wname=sig*;mix* this
expands to All layers with names that begin with sig or mix .rname=sig.*|mix.* .rname=il[0-9]+ .type=power_ground|mixed & context=board this expands to ďAll layers of type power_ground or mixed and whose context are board |
All |


---
layout: post
title: 1/17 schoolwork
date: '2014-01-17T20:38:00.001-07:00'
author: April
tags:
- homeschool-journal
modified_time: '2014-01-17T20:38:48.516-07:00'
blogger_id: tag:blogger.com,1999:blog-6400085873105072120.post-8815705734668464239
blogger_orig_url: http://www.svlark.com/2014/01/117-schoolwork.html
---
drilled number bonds through 10
SotW V1 Ch 16 on the rise of the Assyrians
answered review questions
took dictation
copywork
coloring an Assyrian bas relief
Circus Skills


{{ define "main" }} {{ with .Site.GetPage "framework"}}
If you don't want to read the full March 2020 voter guide, look at the tl;dr below:


Select the confirm parts page:
Select the desired part and enter the amount. Then press the update button shown below:


A framework that brings together an abundance of common
statistical models found across packages into a unified interface, and
provides a common architecture for estimation and interpretation, as well
as bridging functions to absorb increasingly more models into the
package. Zelig allows each individual package, for each
statistical model, to be accessed by a common uniformly structured call and
set of arguments. Moreover, Zelig automates all the surrounding building
blocks of a statistical work-flow–procedures and algorithms that may be
essential to one user's application but which the original package
developer did not use in their own research and might not themselves
support. These include bootstrapping, jackknifing, and re-weighting of data.
In particular, Zelig automatically generates predicted and simulated
quantities of interest (such as relative risk ratios, average treatment
effects, first differences and predicted and expected values) to interpret
and visualize complex models.
| Version: |
5.1.6 |
| Depends: |
survival |
| Imports: |
AER, Amelia, coda, dplyr (≥ <IP_ADDRESS>), Formula, geepack, jsonlite, sandwich, MASS, MatchIt, maxLik, MCMCpack, methods, quantreg, survey, VGAM |
| Suggests: |
ei, eiPack, knitr, networkD3, optmatch, rmarkdown, testthat, tidyverse, ZeligChoice, ZeligEI, zeligverse |
| Published: |
2018-02-27 |
| Author: |
Christine Choirat [aut],
Christopher Gandrud [aut, cre],
James Honaker [aut],
Kosuke Imai [aut],
Gary King [aut],
Olivia Lau [aut],
IQSS Harvard University [cph] |
| Maintainer: |
Christopher Gandrud <zelig.zee at gmail.com> |
| BugReports: |
https://github.com/IQSS/Zelig/issues |
| License: |
GPL (≥ 3) |
| URL: |
https://cran.r-project.org/package=Zelig |
| NeedsCompilation: |
no |
| Citation: |
Zelig citation info |
| Materials: |
README NEWS |
| In views: |
Econometrics, Finance, SocialSciences |
| CRAN checks: |
Zelig results |


1
2
3
4
5
6
7
8
9
10
11
12
Result:
0
Clear
Contribute or analyze source at
GitHub
. Source is released through the
MIT
license.


MicroPython documentation
Welcome! This is the documentation for MicroPython v1.8.2, last updated 29 Jan 2020.
MicroPython runs on a variety of systems and each has their own specific documentation. You are currently viewing the documentation for Thunderboard Sense.
Documentation for MicroPython and Thunderboard Sense:
|
Quick reference for Thunderboard Sense
General information about Thunderboard Sense
Library Reference |
Language Reference
The Thunderboard Sense hardware
License |
Indices and tables:
|
Module index
Full index |
Table of contents |
External links:
|
MicroPython homepage
MicroPython forum |
MicroPython on GitHub
Thunderboard Sense Homepage |


3 dead in possible suicide pact in Niigata
NIIGATA — Three people were found dead after a fire engulfed a house early Friday in Niigata city, with police investigating the case as a possible group suicide involving arson.
According to the police, there were slash wounds on all three bodies found inside the locked house, and nothing to indicate an intruder around the time of the fire.
The bodies are believed to be those of Hiromi Isobe, 74, his wife in her 60s and their son in his 30s, as the three lived in the house.
Two bodies were found in one room with slash wounds on their heads and upper bodies, while the third body was in a different room with slash wounds on the left arm, police said.
Someone who lives near Isobe's home reported the fire at around 12:40 a.m. and the blaze was quickly extinguished.
© KYODO


Reports types that could be simplified.
Example:
def test: ({type l[a] = Either[String, a]})#l[Int] = ???
After the quick-fix is applied:
def test: Either[String, Int] = ???


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Say you want to store a group of names. You could declare a different variable for each name, ie:
name1 = "Jack"
name2 = "Jill"
name3 = "Sam"
But this is tedious and inefficent. Instead, we can use an array to store all the names in one variable, then have an index assigned to each name. We can do this by setting the values of the names in brackets seperated by commas, like this:
names = ["Jack","Jill","Sam"]
The names are automatically numbered based on the order you put them in. However, you must remember that arrays always start counting at 0, so in this case, the "index" of Jack would be 0. So how would you call this up in the code?
puts names[0]
Thats right, it is just the variable name followed by the index in brackets. And of course, you can use variables as the index as well.
names.each |num| do
sum += num
end
my_hash = {"name" => "Jack", "address" => "Illinois" , "Age" => 24}
Each key can be used to call up the info connected to it, just like arrays.
puts my_hash["name"]
This would output "Jack" to the console.
my_hash = {:name => "Jack", :address => "Illinois" , :Age => 24}
So instead of using quotes we just put a colon in front of the symbol. As you can see, hashes are useful for storing blocks of related information, that can be looked up by keyword, like my personal info! Then, if we needed multiple people's info, we could make an array of hashes! But that would be a later lesson. Thanks for reading.


Quantize the 'input' tensor of type float to 'output' tensor of type 'T'.
tf.compat.v1.quantization.quantize
tf.compat.v1.quantize
tf.compat.v2.quantization.quantize
tf.quantization.quantize( input, min_range, max_range, T, mode='MIN_COMBINED', round_mode='HALF_AWAY_FROM_ZERO', name=None )
[min_range, max_range] are scalar floats that specify the range for the 'input' data. The 'mode' attribute controls exactly which calculations are used to convert the float values to their quantized equivalents. The 'round_mode' attribute controls which rounding tie-breaking algorithm is used when rounding float values to their quantized equivalents.
In 'MIN_COMBINED' mode, each value of the tensor will undergo the following:
out[i] = (in[i] - min_range) * range(T) / (max_range - min_range) if T == qint8: out[i] -= (range(T) + 1) / 2.0
here range(T) = numeric_limits<T>::max() - numeric_limits<T>::min()
MIN_COMBINED Mode Example
Assume the input is type float and has a possible range of [0.0, 6.0] and the output type is quint8 ([0, 255]). The min_range and max_range values should be specified as 0.0 and 6.0. Quantizing from float to quint8 will multiply each value of the input by 255/6 and cast to quint8.
If the output type was qint8 ([-128, 127]), the operation will additionally subtract each value by 128 prior to casting, so that the range of values aligns with the range of qint8.
If the mode is 'MIN_FIRST', then this approach is used:
num_discrete_values = 1 << (# of bits in T) range_adjust = num_discrete_values / (num_discrete_values - 1) range = (range_max - range_min) * range_adjust range_scale = num_discrete_values / range quantized = round(input * range_scale) - round(range_min * range_scale) + numeric_limits<T>::min() quantized = max(quantized, numeric_limits<T>::min()) quantized = min(quantized, numeric_limits<T>::max())
The biggest difference between this and MIN_COMBINED is that the minimum range is rounded first, before it's subtracted from the rounded value. With MIN_COMBINED, a small bias is introduced where repeated iterations of quantizing and dequantizing will introduce a larger and larger error.
SCALED mode Example
SCALED
mode matches the quantization approach used in
QuantizeAndDequantize{V2|V3}
.
If the mode is SCALED
, we do not use the full range of the output type,
choosing to elide the lowest possible value for symmetry (e.g., output range is
-127 to 127, not -128 to 127 for signed 8 bit quantization), so that 0.0 maps to
0.
We first find the range of values in our tensor. The range we use is always centered on 0, so we find m such that
m = max(abs(input_min), abs(input_max))
Our input tensor range is then [-m, m]
.
Next, we choose our fixed-point quantization buckets, [min_fixed, max_fixed]
.
If T is signed, this is
num_bits = sizeof(T) * 8 [min_fixed, max_fixed] = [-(1 << (num_bits - 1) - 1), (1 << (num_bits - 1)) - 1]
Otherwise, if T is unsigned, the fixed-point range is
[min_fixed, max_fixed] = [0, (1 << num_bits) - 1]
From this we compute our scaling factor, s:
s = (max_fixed - min_fixed) / (2 * m)
Now we can quantize the elements of our tensor:
result = round(input * s)
One thing to watch out for is that the operator may choose to adjust the requested minimum and maximum values slightly during the quantization process, so you should always use the output ports as the range for further calculations. For example, if the requested minimum and maximum values are close to equal, they will be separated by a small epsilon value to prevent ill-formed quantized buffers from being created. Otherwise, you can end up with buffers where all the quantized values map to the same float value, which causes problems for operations that have to perform further calculations on them.
input
: A Tensor
of type float32
.min_range
: A Tensor
of type float32
.
The minimum scalar value possibly produced for the input.max_range
: A Tensor
of type float32
.
The maximum scalar value possibly produced for the input.T
: A tf.DType
from: tf.qint8, tf.quint8, tf.qint32, tf.qint16, tf.quint16
.mode
: An optional string
from: "MIN_COMBINED", "MIN_FIRST", "SCALED"
. Defaults to "MIN_COMBINED"
.round_mode
: An optional string
from: "HALF_AWAY_FROM_ZERO", "HALF_TO_EVEN"
. Defaults to "HALF_AWAY_FROM_ZERO"
.name
: A name for the operation (optional).A tuple of Tensor
objects (output, output_min, output_max).
output
: A Tensor
of type T
.output_min
: A Tensor
of type float32
.output_max
: A Tensor
of type float32
.


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Hot Tickets: What to watch this week in prep sports
Four high school sports events to keep an eye on this week:
Girls basketball: Arlington at Stanwood, 7:15 p.m. Tuesday. This non-league clash is the first of two meetings between these Wesco 3A rivals (they play again in a Jan. 31 conference game). In their league matchup last season, eventual Wesco 3A/2A co-champion Arlington edged Stanwood in overtime.
Boys basketball: Jackson at Marysville Pilchuck, 7:15 p.m. Wednesday. The defending Wesco 3A/2A champions host the defending Wesco 4A champions in a compelling non-league showdown. This marks the beginning of the post-RaeQuan Battle era for Marysville Pilchuck, which returned nearly every other player from last season’s historic Class 3A fourth-place state team. Jackson, meanwhile, looks to replace a talented senior class after graduating four of its top five scorers from last season’s 4A state-qualifying squad.
Boys basketball: King’s at Lakewood, 7:15 p.m. Wednesday. These former Cascade Conference rivals square off in an intriguing non-league matchup. Lakewood earned an impressive win last week over Stanwood, which reached the 3A state regionals last season. King’s, coming off a 1A third-place state finish last winter, opened its season with a narrow loss to reigning 4A state qualifier Glacier Peak.
Boys wrestling: Stanwood at Lake Stevens, 7 p.m. Thursday. This non-league dual features likely two of the area’s top teams. Lake Stevens, which tied for an 11th-place state finish in 4A last season, opened with a 35-34 win over state power Tahoma last week. Stanwood took 13th place in 3A last season and returns a pair of third-place state medalists in Riley Van Scoy and Isaac Ortega.