source file: /Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/concurrent/futures/thread.py
file stats: 84 lines, 23 executed: 27.4% covered
1. # Copyright 2009 Brian Quinlan. All Rights Reserved. 2. # Licensed to PSF under a Contributor Agreement. 3. 4. """Implements ThreadPoolExecutor.""" 5. 6. import atexit 7. from concurrent.futures import _base 8. import Queue as queue 9. import threading 10. import weakref 11. import sys 12. 13. __author__ = 'Brian Quinlan (brian@sweetapp.com)' 14. 15. # Workers are created as daemon threads. This is done to allow the interpreter 16. # to exit when there are still idle threads in a ThreadPoolExecutor's thread 17. # pool (i.e. shutdown() was not called). However, allowing workers to die with 18. # the interpreter has two undesirable properties: 19. # - The workers would still be running during interpretor shutdown, 20. # meaning that they would fail in unpredictable ways. 21. # - The workers could be killed while evaluating a work item, which could 22. # be bad if the callable being evaluated has external side-effects e.g. 23. # writing to a file. 24. # 25. # To work around this problem, an exit handler is installed which tells the 26. # workers to exit when their work queues are empty and then waits until the 27. # threads finish. 28. 29. _threads_queues = weakref.WeakKeyDictionary() 30. _shutdown = False 31. 32. def _python_exit(): 33. global _shutdown 34. _shutdown = True 35. items = list(_threads_queues.items()) if _threads_queues else () 36. for t, q in items: 37. q.put(None) 38. for t, q in items: 39. t.join(sys.maxint) 40. 41. atexit.register(_python_exit) 42. 43. class _WorkItem(object): 44. def __init__(self, future, fn, args, kwargs): 45. self.future = future 46. self.fn = fn 47. self.args = args 48. self.kwargs = kwargs 49. 50. def run(self): 51. if not self.future.set_running_or_notify_cancel(): 52. return 53. 54. try: 55. result = self.fn(*self.args, **self.kwargs) 56. except BaseException: 57. e, tb = sys.exc_info()[1:] 58. self.future.set_exception_info(e, tb) 59. else: 60. self.future.set_result(result) 61. 62. def _worker(executor_reference, work_queue): 63. try: 64. while True: 65. work_item = work_queue.get(block=True) 66. if work_item is not None: 67. work_item.run() 68. # Delete references to object. See issue16284 69. del work_item 70. continue 71. executor = executor_reference() 72. # Exit if: 73. # - The interpreter is shutting down OR 74. # - The executor that owns the worker has been collected OR 75. # - The executor that owns the worker has been shutdown. 76. if _shutdown or executor is None or executor._shutdown: 77. # Notice other workers 78. work_queue.put(None) 79. return 80. del executor 81. except BaseException: 82. _base.LOGGER.critical('Exception in worker', exc_info=True) 83. 84. class ThreadPoolExecutor(_base.Executor): 85. def __init__(self, max_workers): 86. """Initializes a new ThreadPoolExecutor instance. 87. 88. Args: 89. max_workers: The maximum number of threads that can be used to 90. execute the given calls. 91. """ 92. self._max_workers = max_workers 93. self._work_queue = queue.Queue() 94. self._threads = set() 95. self._shutdown = False 96. self._shutdown_lock = threading.Lock() 97. 98. def submit(self, fn, *args, **kwargs): 99. with self._shutdown_lock: 100. if self._shutdown: 101. raise RuntimeError('cannot schedule new futures after shutdown') 102. 103. f = _base.Future() 104. w = _WorkItem(f, fn, args, kwargs) 105. 106. self._work_queue.put(w) 107. self._adjust_thread_count() 108. return f 109. submit.__doc__ = _base.Executor.submit.__doc__ 110. 111. def _adjust_thread_count(self): 112. # When the executor gets lost, the weakref callback will wake up 113. # the worker threads. 114. def weakref_cb(_, q=self._work_queue): 115. q.put(None) 116. # TODO(bquinlan): Should avoid creating new threads if there are more 117. # idle threads than items in the work queue. 118. if len(self._threads) < self._max_workers: 119. t = threading.Thread(target=_worker, 120. args=(weakref.ref(self, weakref_cb), 121. self._work_queue)) 122. t.daemon = True 123. t.start() 124. self._threads.add(t) 125. _threads_queues[t] = self._work_queue 126. 127. def shutdown(self, wait=True): 128. with self._shutdown_lock: 129. self._shutdown = True 130. self._work_queue.put(None) 131. if wait: 132. for t in self._threads: 133. t.join(sys.maxint) 134. shutdown.__doc__ = _base.Executor.shutdown.__doc__


HTML5, CSS3, Javascript, React, Responsive, UX
NodeJs, ExpressJs, Ruby, Rails, MongoDB
Painting, Singing, Cooking
I was born in New Delhi, India as the first child of my parents. I loved going to school and always been top and favourite student of my teachers. I was passionate about learning new things related to Computers, art and craft, singing. As a child, I always dreampt of making a Robot so that I can play with him
I completed my Masters in Computer Applications from IGNOU, India. At that point of time, I was doing part time voluntary work in a school as a computer science teacher and giving home tuitions to children who need education support. I also worked with a pet medical company in writing their content for their website as a content writer.
Got Married with my best friend and migrated from India to Australia. Joined Coder Factory BootCamp to learn web development to focus on making my career as a web developer. Learned new skills, languages and framework, made new friends. I got placed as a Intern in a IOT company.
Last week, I graduated from Academy. Right now I am seeking new opportunities as a junior developer where I can learn and gain experience in the world of Web development
Aspiring Web App Developer


Client registration for applications (OpenID Connect - Dynamic Client Registration)
Allowed application types
Simple (A hands-free application. Using this type, you will be able to define the client_id by your own)
Browser (Angular, React, ...)
Web (Java, .Net, ...)
Native (iOS, Android, ...)
Backend-to-Backend


Note
Click here to download the full example code
Example: detecting defaults on retail credits¶
SkopeRules finds logical rules with high precision and fuse them. Finding good rules is done by fitting classification and regression trees to sub-samples. A fitted tree defines a set of rules (each tree node defines a rule); rules are then tested out of the bag, and the ones with higher precision are kept.
This example aims at finding logical rules to predict credit defaults. The analysis shows that setting.
Data import and preparation¶
There are 3 categorical variables (SEX, EDUCATION and MARRIAGE) and 20 numerical variables. The target (credit defaults) is transformed in a binary variable with integers 0 (no default) and 1 (default). From the 30000 credits, 50% are used for training and 50% are used for testing. The target is unbalanced with a 22%/78% ratio.
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from sklearn.metrics import roc_curve, precision_recall_curve
from sklearn.ensemble import RandomForestClassifier
from sklearn.model_selection import GridSearchCV
from sklearn.utils import shuffle
from skrules import SkopeRules
from skrules.datasets import load_credit_data
print(__doc__)
rng = np.random.RandomState(1)
# Importing data
dataset = load_credit_data()
X = dataset.data
y = dataset.target
# Shuffling data, preparing target and variables
data, y = shuffle(np.array(X), y, random_state=rng)
data = pd.DataFrame(data, columns=X.columns)
for col in ['ID']:
del data[col]
# Quick feature engineering
data = data.rename(columns={"PAY_0": "PAY_1"})
old_PAY = ['PAY_3', 'PAY_4', 'PAY_5', 'PAY_6']
data['PAY_old_mean'] = data[old_PAY].apply(lambda x: np.mean(x), axis=1)
old_BILL_AMT = ['BILL_AMT3', 'BILL_AMT4', 'BILL_AMT5', 'BILL_AMT6']
data['BILL_AMT_old_mean'] = data[old_BILL_AMT].apply(
lambda x: np.mean(x), axis=1)
data['BILL_AMT_old_std'] = data[old_BILL_AMT].apply(
lambda x: np.std(x),
axis=1)
old_PAY_AMT = ['PAY_AMT3', 'PAY_AMT4', 'PAY_AMT5', 'PAY_AMT6']
data['PAY_AMT_old_mean'] = data[old_PAY_AMT].apply(
lambda x: np.mean(x), axis=1)
data['PAY_AMT_old_std'] = data[old_PAY_AMT].apply(
lambda x: np.std(x), axis=1)
data.drop(old_PAY_AMT + old_BILL_AMT + old_PAY, axis=1, inplace=True)
# Creating the train/test split
feature_names = list(data.columns)
print("List of variables used to train models : " + str(feature_names))
data = data.values
n_samples = data.shape[0]
n_samples_train = int(n_samples / 2)
y_train = y[:n_samples_train]
y_test = y[n_samples_train:]
X_train = data[:n_samples_train]
X_test = data[n_samples_train:]
Out:
List of variables used to train models : ['LIMIT_BAL', 'SEX', 'EDUCATION', 'MARRIAGE', 'AGE', 'PAY_1', 'PAY_2', 'BILL_AMT1', 'BILL_AMT2', 'PAY_AMT1', 'PAY_AMT2', 'PAY_old_mean', 'BILL_AMT_old_mean', 'BILL_AMT_old_std', 'PAY_AMT_old_mean', 'PAY_AMT_old_std']
Benchmark with a Random Forest classifier¶
This part shows the training and performance evaluation of a random forest model. The objective remains to extract rules which targets credit defaults.
rf = GridSearchCV(
RandomForestClassifier(
random_state=rng,
n_estimators=50,
class_weight='balanced'),
param_grid={'max_depth': range(3, 8, 1),
'max_features': np.linspace(0.1, 1., 5)},
scoring={'AUC': 'roc_auc'}, cv=5,
refit='AUC', n_jobs=-1)
rf.fit(X_train, y_train)
scoring_rf = rf.predict_proba(X_test)[:, 1]
print("Random Forest selected parameters : %s" % rf.best_params_)
# Plot ROC and PR curves
fig, axes = plt.subplots(1, 2, figsize=(12, 5),
sharex=True, sharey=True)
ax = axes[0]
fpr_RF, tpr_RF, _ = roc_curve(y_test, scoring_rf)
ax.step(fpr_RF, tpr_RF, linestyle='-.', c='g', lw=1, where='post')
ax.set_title("ROC", fontsize=20)
ax.legend(loc='upper center', fontsize=8)
ax.set_xlabel('False Positive Rate', fontsize=18)
ax.set_ylabel('True Positive Rate (Recall)', fontsize=18)
ax = axes[1]
precision_RF, recall_RF, _ = precision_recall_curve(y_test, scoring_rf)
ax.step(recall_RF, precision_RF, linestyle='-.', c='g', lw=1, where='post')
ax.set_title("Precision-Recall", fontsize=20)
ax.set_xlabel('Recall (True Positive Rate)', fontsize=18)
ax.set_ylabel('Precision', fontsize=18)
plt.show()
Out:
Random Forest selected parameters : {'max_depth': 7, 'max_features': 0.55}
The ROC and Precision-Recall curves illustrate the performance of Random Forests in this classification task. Suppose now that we add an interpretability contraint to this setting: Typically, we want to express our model in terms of logical rules detecting defaults. A random forest could be expressed in term of weighted sum of rules, but 1) such a large weighted sum, is hardly interpretable and 2) simplifying it by removing rules/weights is not easy, as optimality is targeted by the ensemble of weighted rules, not by each rule. In the following section, we show how SkopeRules can be used to produce a number of rules, each seeking for high precision on a potentially small area of detection (low recall).
Getting rules with skrules¶
This part shows how SkopeRules can be fitted to detect credit defaults. Performances are compared with the random forest model previously trained.
# fit the model
clf = SkopeRules(
max_depth_duplication=3, max_depth=3, max_features=0.5,
max_samples_features=0.5, random_state=rng, n_estimators=20,
feature_names=feature_names, recall_min=0.04, precision_min=0.6)
clf.fit(X_train, y_train)
# in the score_top_rules method, a score of k means that rule number k
# vote positively, but not rules 1, ..., k-1. It will allow us to plot
# performance of each rule separately on the ROC and PR plots.
scoring = clf.score_top_rules(X_test)
print(str(len(clf.rules_)) + ' rules have been built.')
print('The 5 most precise rules are the following:')
for rule in clf.rules_[:5]:
print(rule[0])
curves = [roc_curve, precision_recall_curve]
xlabels = ['False Positive Rate', 'Recall (True Positive Rate)']
ylabels = ['True Positive Rate (Recall)', 'Precision']
fig, axes = plt.subplots(1, 2, figsize=(12, 5),
sharex=True, sharey=True)
ax = axes[0]
fpr, tpr, _ = roc_curve(y_test, scoring)
fpr_rf, tpr_rf, _ = roc_curve(y_test, scoring_rf)
ax.scatter(fpr[:-1], tpr[:-1], c='b', s=10, label="rules of SkopeRules")
ax.step(fpr_RF, tpr_RF, linestyle='-.', c='g', lw=1, where='post',
label="Random Forest")
ax.set_title("ROC", fontsize=20)
ax.legend(loc='upper center', fontsize=8)
ax.set_xlabel('False Positive Rate', fontsize=18)
ax.set_ylabel('True Positive Rate (Recall)', fontsize=18)
ax = axes[1]
precision, recall, _ = precision_recall_curve(y_test, scoring)
precision_rf, recall_rf, _ = precision_recall_curve(y_test, scoring_rf)
ax.scatter(recall[1:-1], precision[1:-1], c='b', s=10,
label="rules of SkopeRules")
ax.step(recall_RF, precision_RF, linestyle='-.', c='g', lw=1, where='post',
label="Random Forest")
ax.set_title("Precision-Recall", fontsize=20)
ax.set_xlabel('Recall (True Positive Rate)', fontsize=18)
ax.set_ylabel('Precision', fontsize=18)
plt.show()
Out:
12 rules have been built.
The 5 most precise rules are the following:
BILL_AMT_old_std <= 9353.94873046875 and PAY_1 > 1.5 and PAY_2 > -0.5
BILL_AMT_old_std <= 6513.737548828125 and PAY_2 > 1.5 and BILL_AMT2 > 2132.5
PAY_AMT_old_std <= 2563.13525390625 and PAY_1 > 1.5 and BILL_AMT2 > 517.5
PAY_old_mean > 0.125 and PAY_1 > 1.5 and BILL_AMT1 > 410.0
PAY_AMT_old_std <= 46657.083984375 and PAY_2 > 1.5 and PAY_AMT1 > 122.0
The ROC and Precision-Recall curves show the performance of the rules generated by SkopeRules the (the blue points) and the performance of the Random Forest classifier fitted above. Each blue point represents the performance of a set of rules: Starting from the left on the precision-recall cruve, the kth point represents the score associated to the concatenation (union) of the k first rules, etc. Thus, each blue point is associated with an interpretable classifier, which is a combination of a few rules. In terms of performance, each of these interpretable classifiers compare well with Random Forest, while offering complete interpretation. The range of recall and precision can be controlled by the precision_min and recall_min parameters. Here, setting precision_min to 0.6 force the rules to have a limited recall.
Total running time of the script: ( 0 minutes 37.373 seconds)


{% load static %}
Start analyzing time and productivity to examine your staff. Get to know about your staff about the task on which they are working!!!
Find Out MoreNow you can analyze the time and productivity by using this software and run in no-time. Analyze your staff to know about their daily contribution!!!
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Folders
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mouseente...2.view
mouseleave.view
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Folders: 10


{% extends "layout.html" %} {% block body %}
You can flexibly download small batches of data from specific sites, or download all available data in bulk. Which type of download would you prefer?


Logisim is an educational tool for designing and simulating digital logic circuits. With its simple toolbar interface and simulation of circuits as they are built, it is simple enough to facilitate learning the most basic concepts related to logic circuits. With the capacity to build larger circuits from smaller subcircuits, and to draw bundles of wires with a single mouse drag, Logisim can be used (and is used) to design and simulate entire CPUs for educational purposes.
Students at colleges and universities around the world use Logisim for a variety of purposes, including:
The Guide to Being a Logisim User, which you are reading now, is the official reference for Logisim's features. Its first part is a sequence of sections introducing the major parts of Logisim. These sections are written so that they can be read "cover to cover" to learn about all of the most important features of Logisim.
Beginner's tutorial
Libraries and attributes
Subcircuits
Wire bundles
Combinational analysis
The remaining sections are a motley bunch of reference materials and explanations of some of the lesser corners of Logisim.
Menu reference
Memory components
Logging
Command-line verification
Application preferences
Project options
Value propagation
JAR libraries
About the program


Welcome to My Food Website!
Here's anoverview of what kinds of foos you can find here:
- Main Dishes
- Barbecue
- Pizza
- Lasagna
- Desserts
- Ninho(Brazilian milk) Cake
- Pudding
- Prestige Cake
- Hot Drinks
- Coca Cola
- Orange Juice
- Conga(no alcohol)


Bottom Navbar example
This example is a quick exercise to illustrate how the bottom navbar works.
View navbar docs »
Bottom navbar
Home
(current)
Link
Disabled
Dropup
Action
Another action
Something else here


{% extends "global/Page.html" %} {% load staticfiles otree %} {% block title %} Group assign {% endblock %} {% block content %} {% if player.id_in_group == 1 %}
You are now the proud owner of a new Pilot G2 07 Gel Ink Roller-ball Pen!

The Oreo Chocolate Candy Bar, no words are needed - it is delicious!
{% endif %} {% if player.id_in_group == 3 %}You are now the proud owner of a both a new Pilot G2 07 Gel Ink Roller-ball Pen and a new Oreo Chocolate Candy Bar!

The Oreo Chocolate Candy Bar, no words are needed - it is delicious!
{% endif %} {% if player.id_in_group == 4 %}Unfortunately, you will not get any of the items. But, we still have a question for you.
{% endif %}{% next_button %}
{{ form.errors }} {% endblock %}


killer poke
`Prev `__
K
`Next `__
--------------
**killer poke**: n.
A recipe for inducing hardware damage on a machine via insertion of
invalid values (see `*poke* <../P/poke.html>`__) into a memory-mapped
control register; used esp. of various fairly well-known tricks on
`*bitty box* <../B/bitty-box.html>`__\ es without hardware memory
management (such as the IBM PC and Commodore PET) that can overload and
trash analog electronics in the monitor. See also
`*HCF* <../H/HCF.html>`__.
--------------
+---------------------------------+----------------------------+--------------------------+
| `Prev `__ | `Up <../K.html>`__ | `Next `__ |
+---------------------------------+----------------------------+--------------------------+
| killer micro | `Home <../index.html>`__ | kilo- |
+---------------------------------+----------------------------+--------------------------+


Jin-Fan Hu, Ting-Zhu Huang*, Liang-Jian Deng*, Tai-Xiang Jiang, Gemine Vivone, Jocelyn Chanussot
Hyperspectral images (HSIs) are of crucial importance in order to better understand features from a large amount of spectral channels. Restricted by its inner imaging mechanism, the spatial resolution is often limited for HSIs. To alleviate this issue, in this work, we propose a simple and efficient architecture of deep convolutional neural networks to fuse a low-resolution hyperspectral image (LR-HSI) and a high-resolution multispectral image (HR-MSI), yielding a high-resolution hyperspectral image (HR-HSI). The network is designed to preserve both spatial and spectral information thanks to a new architecture based on i) the use of the LR-HSI at the HR-MSI’s scale to get an output with satisfied spectral preservation and ii) the application of the attention and pixelShuffle modules to extract information, aiming to output high-quality spatial details. Finally, a plain mean squared error loss function is used to measure the performance during the training. Extensive experiments demonstrate that the proposed network architecture achieves the best performance (both qualitatively and quantitatively) compared with recent state-of-the-art hyperspectral image super-resolution approaches. Moreover, other significant advantages can be pointed out by the use of the proposed approach, such as, a better network generalization ability, a limited computational burden, and the robustness with respect to the number of training samples.
Results
Bib Citation
@ARTICLE{Hu2021Hyperspectral,
author={Hu, Jin-Fan and Huang, Ting-Zhu and Deng, Liang-Jian and Jiang, Tai-Xiang and Vivone, Gemine and Chanussot, Jocelyn},
journal={IEEE Transactions on Neural Networks and Learning Systems},
title={Hyperspectral Image Super-resolution via Deep Spatio-spectral Attention Convolutional Neural Networks},
year={2021},
volume={},
number={},
doi = {10.1109/TNNLS.2021.3084682},
}


The Apache Beam community welcomes contributions from anyone with a passion for data processing! Beam has many different opportunities for contributions – write new examples, add new user-facing libraries (new statistical libraries, new IO connectors, etc), work on the core programming model, build specific runners (Apache Apex, Apache Flink, Apache Spark, Google Cloud Dataflow, etc), or participate on the documentation effort.
We use a review-then-commit workflow in Beam for all contributions.
For larger contributions or those that affect multiple components:
For all contributions:
We look forward to working with you!
We discuss design and implementation issues on the<EMAIL_ADDRESS>mailing list, which is archived here. Join by emailing<EMAIL_ADDRESS>.
If interested, you can also join the other mailing lists.
We use the Apache Software Foundation’s JIRA as an issue tracking and project management tool, as well as a way to communicate among a very diverse and distributed set of contributors. To be able to gather feedback, avoid frustration, and avoid duplicated efforts all Beam-related work should be tracked there.
If you do not already have an Apache JIRA account, sign up here.
If a quick search doesn’t turn up an existing JIRA issue for the work you want to contribute, create it. Please discuss your idea with a committer or the component lead in JIRA or, alternatively, on the developer mailing list.
If there’s an existing JIRA issue for your intended contribution, please comment about your intended work. Once the work is understood, a committer will assign the issue to you. (If you don’t have a JIRA role yet, you’ll be added to the “contributor” role.) If an issue is currently assigned, please check with the current assignee before reassigning.
For moderate or large contributions, you should not start coding or writing a design document unless there is a corresponding JIRA issue assigned to you for that work. Simple changes, like fixing typos, do not require an associated issue.
We don’t have an official IRC channel. Most of the online discussions happen in the Apache Beam Slack channel. If you want access, you need to send an email to the user mailing list to request access.
Chat rooms are great for quick questions or discussions on specialized topics. Remember that we strongly encourage communication via the mailing lists, and we prefer to discuss more complex subjects by email. Developers should be careful to move or duplicate all the official or useful discussions to the issue tracking system and/or the dev mailing list.
To avoid potential frustration during the code review cycle, we encourage you to clearly scope and design non-trivial contributions with the Beam community before you start coding.
Generally, the JIRA issue is the best place to gather relevant design docs, comments, or references. It’s great to explicitly include relevant stakeholders early in the conversation. For designs that may be generally interesting, we also encourage conversations on the developer’s mailing list.
We suggest using Google Docs for sharing designs that may benefit from diagrams or comments. Please remember to make the document world-commentable and add a link to it from the relevant JIRA issue. You may want to start from this template.
To contribute code to Apache Beam, you’ll have to do a few administrative steps once, and then follow a few guidelines for each contribution.
When developing a new PTransform
, consult the PTransform Style Guide.
Apache Software Foundation (ASF) desires that all contributors of ideas, code, or documentation to the Apache projects complete, sign, and submit an Individual Contributor License Agreement (ICLA). The purpose of this agreement is to clearly define the terms under which intellectual property has been contributed to the ASF and thereby allow us to defend the project should there be a legal dispute regarding the software at some future time.
We require you to have an ICLA on file with the Apache Secretary for larger contributions only. For smaller ones, however, we rely on clause five of the Apache License, Version 2.0, describing licensing of intentionally submitted contributions and do not require an ICLA in that case.
We use GitHub’s pull request functionality to review proposed code changes.
If you do not already have a personal GitHub account, sign up here.
Go to the Beam GitHub mirror and fork the repository to your own private account. This will be your private workspace for staging changes.
 Feel free to repeat these steps on all machines that you want to use for development.
We assume you are using SSH-based authentication with GitHub. If necessary, exchange SSH keys with GitHub by following their instructions.
Clone Beam’s read-only GitHub mirror.
$ git clone https://github.com/apache/beam.git
$ cd beam
Add your forked repository as an additional Git remote, where you’ll push your changes.
$ git remote add <GitHub_user> git@github.com:<GitHub_user>/beam.git
You are now ready to start developing!
We recommend setting up a virtual envioment for developing Python SDK. Please see instructions available in Quickstart (Python) for setting up a virtual environment.
Depending on your preferred development environment, you may need to prepare it to develop Beam code.
To configure annotation processing in IntelliJ:
IntelliJ supports checkstyle within the IDE using the Checkstyle-IDEA plugin.
You can also scan an entire module by opening the Checkstyle tools window and clicking the “Check Module” button. The scan should report no errors.
Note: Selecting “Check Project” may report some errors from the archetype modules as they are not configured for Checkstyle validation.
IntelliJ supports code styles within the IDE. Use one of the following to ensure your code style matches the project’s checkstyle enforcements.
Use a recent Eclipse version that includes m2e. Currently we recommend Eclipse Neon. Start Eclipse with a fresh workspace in a separate directory from your checkout.
Install m2e-apt: Beam uses apt annotation processing to provide auto generated code. One example is the usage of Google AutoValue. By default m2e does not support this and you will see compile errors.
Help -> Eclipse Marketplace -> Search for “m2 apt” -> Install m2e-apt 1.2 or higher
Activate the apt processing
Window -> Preferences -> Maven -> Annotation processing -> Switch to Experimental: Delegate annotation processing … -> Ok
Import the beam projects
File -> Import… -> Existing Maven Projects -> Browse to the directory you cloned into and select “beam” -> make sure all beam projects are selected -> Finalize
You now should have all the beam projects imported into eclipse and should see no compile errors.
Eclipse supports checkstyle within the IDE using the Checkstyle plugin.
Eclipse supports code styles within the IDE. Use one of the following to ensure your code style matches the project’s checkstyle enforcements.
You’ll work on your contribution in a branch in your own (forked) repository. Create a local branch, initialized with the state of the branch you expect your changes to be merged into. Keep in mind that we use several branches, including master
, feature-specific, and release-specific branches. If you are unsure, initialize with the state of the master
branch.
$ git fetch --all
$ git checkout -b <my-branch> origin/master
At this point, you can start making and committing changes to this branch in a standard way.
Periodically while you work, and certainly before submitting a pull request, you should update your branch with the most recent changes to the target branch.
$ git pull --rebase
Remember to always use --rebase
parameter to avoid extraneous merge commits.
Then you can push your local, committed changes to your (forked) repository on GitHub. Since rebase may change that branch’s history, you may need to force push. You’ll run:
$ git push <GitHub_user> <my-branch> --force
All code should have appropriate unit testing coverage. New code should have new tests in the same contribution. Bug fixes should include a regression test to prevent the issue from reoccurring.
For contributions to the Java code, run unit tests locally via Maven.
$ mvn clean verify
For contributions to the Python code, you can use command given below to run unit tests locally. If you update any of the cythonized files in Python SDK, you must install “cython” package before running following command to properly test your code. We recommend setting up a virtual environment before testing your code.
$ python setup.py test
You can use following command to run a single test method.
$ python setup.py test -s <module>.<test class>.<test method>
To Check for lint errors locally, install “tox” package and run following command.
$ pip install tox
$ tox -e lint
Beam supports running Python SDK tests using Maven. For this, navigate to root directory of your Apache Beam clone and execute following command. Currently this cannot be run from a virtual environment.
$ mvn clean verify -pl sdks/python
Once the initial code is complete and the tests pass, it’s time to start the code review process. We review and discuss all code, no matter who authors it. It’s a great way to build community, since you can learn from other developers, and they become familiar with your contribution. It also builds a strong project by encouraging a high quality bar and keeping code consistent throughout the project.
Organize your commits to make a committer’s job easier when reviewing. Committers normally prefer multiple small pull requests, instead of a single large pull request. Within a pull request, a relatively small number of commits that break the problem into logical steps is preferred. For most pull requests, you’ll squash your changes down to 1 commit. You can use the following command to re-order, squash, edit, or change description of individual commits.
$ git rebase -i origin/master
You’ll then push to your branch on GitHub. Note: when updating your commit after pull request feedback and use squash to get back to one commit, you will need to do a force submit to the branch on your repo.
Navigate to the Beam GitHub mirror to create a pull request. The title of the pull request should be strictly in the following format:
[BEAM-<JIRA-issue-#>] <Title of the pull request>
Please include a descriptive pull request message to help make the comitter’s job easier when reviewing. It’s fine to refer to existing design docs or the contents of the associated JIRA as appropriate.
If you know a good committer to review your pull request, please make a comment like the following. If not, don’t worry – a committer will pick it up.
Hi @<GitHub-committer-username>, can you please take a look?
When choosing a committer to review, think about who is the expert on the relevant code, who the stakeholders are for this change, and who else would benefit from becoming familiar with the code. If you’d appreciate comments from additional folks but already have a main committer, you can explicitly cc them using @<GitHub-committer-username>
.
During the code review process, don’t rebase your branch or otherwise modify published commits, since this can remove existing comment history and be confusing to the committer when reviewing. When you make a revision, always push it in a new commit.
Our GitHub mirror automatically provides pre-commit testing coverage using Jenkins. Please make sure those tests pass; the contribution cannot be merged otherwise.
Once the committer is happy with the change, they’ll respond with an LGTM (“looks good to me!”). At this point, the committer will take over, possibly make some additional touch ups, and merge your changes into the codebase.
In the case the author is also a committer, either can merge the pull request. Just be sure to communicate clearly whose responsibility it is in this particular case.
Thank you for your contribution to Beam!
Once the pull request is merged into the Beam repository, you can safely delete the branch locally and purge it from your forked repository.
From another local branch, run:
$ git fetch --all
$ git branch -d <my-branch>
$ git push <GitHub_user> --delete <my-branch>
Once the code has been peer reviewed by a committer, the next step is for the committer to merge it into the authoritative Apache repository, not the read-only GitHub mirror. (In the case that the author is also a committer, it is acceptable for either the author of the change or committer who reviewed the change to do the merge. Just be explicit about whose job it is!)
Pull requests should not be merged before the review has received an explicit LGTM from another committer. Exceptions to this rule may be made rarely, on a case-by-case basis only, in the committer’s discretion for situations such as build breakages.
Committers should never commit anything without going through a pull request, since that would bypass test coverage and potentially cause the build to fail due to checkstyle, etc. In addition, pull requests ensure that changes are communicated properly and potential flaws or improvements can be spotted. Always go through the pull request, even if you won’t wait for the code review. Even then, comments can be provided in the pull requests after it has been merged to work on follow-ups.
Committing is currently a manual process, but we are investigating tools to automate pieces of this process.
Add the Apache Git remote in your local clone, by running:
$ git remote add apache https://git-wip-us.apache.org/repos/asf/beam.git
We recommend renaming the origin
remote to github
, to avoid confusion when dealing with this many remotes.
$ git remote rename origin github
For the github
remote, add an additional fetch reference, which will cause every pull request to be made available as a remote branch in your workspace.
$ git config --local --add remote.github.fetch \
'+refs/pull/*/head:refs/remotes/github/pr/*'
You can confirm your configuration by running the following command.
$ git remote -v
apache https://git-wip-us.apache.org/repos/asf/beam.git (fetch)
apache https://git-wip-us.apache.org/repos/asf/beam.git (push)
github https://github.com/apache/beam.git (fetch)
github https://github.com/apache/beam.git (push)
<username> git@github.com:<username>/beam.git (fetch)
<username> git@github.com:<username>/beam.git (push)
If you are merging a larger contribution, please make sure that the contributor has an ICLA on file with the Apache Secretary. You can view the list of committers here, as well as ICLA-signers who aren’t yet committers.
For smaller contributions, however, this is not required. In this case, we rely on clause five of the Apache License, Version 2.0, describing licensing of intentionally submitted contributions.
Before merging, please make sure that Jenkins tests pass, as visible in the GitHub pull request. Do not merge the pull request otherwise.
At some point in the review process, you should take the pull request over and complete any outstanding work that is either minor, stylistic, or otherwise outside the expertise of the contributor.
Fetch references from all remote repositories, and checkout the specific pull request branch.
$ git fetch --all
$ git checkout -b finish-pr-<pull-request-#> github/pr/<pull-request-#>
At this point, you can commit any final touches to the pull request. For example, you should:
You will often need the following command, assuming you’ll be merging changes into the master
branch:
$ git rebase -i apache/master
Please make sure to retain authorship of original commits to give proper credit to the contributor. You are welcome to change their commits slightly (e.g., fix a typo) and squash them, but more substantive changes should be a separate commit and review.
Once you are ready to merge, fetch all remotes, checkout the destination branch and merge the changes.
$ git fetch --all
$ git checkout apache/master
$ git merge --no-ff -m 'This closes #<pull-request-#>' finish-pr-<pull-request-#>
Always use --no-ff
option and the specific commit message “This closes #<pull request #>” – it ensures proper marking in the tooling. It would be nice to include additional information in the merge commit message, such as the title and summary of the pull request.
At this point, you want to ensure everything is right. Test it with mvn verify
. Run gitk
or git log --graph,
etc. When you are happy with how it looks, push it. This is the point of no return – proceed with caution.
$ git push apache HEAD:master
Done. You can delete the local finish-pr-<pull-request-#>
branch if you like.
The project management committee (PMC) can grant more rights to a contributor, such as commit access or decision power, and recognize them as new committers or PMC members.
The PMC periodically discusses this topic and privately votes to grant more rights to a contributor. If the vote passes, the contributor is invited to accept or reject the nomination. Once accepted, the PMC announces the decision publicly and updates the list of team member accordingly.
The key to the selection process is Meritocracy, literally government by merit. Contributors earn merit in many ways: contributing code, testing releases, participating in documentation effort, answering user questions, debating design proposals, triaging issues, evangelizing the project, growing user base, and any other action that benefits the project as a whole.
Therefore, there isn’t a single committer bar, e.g., a specific number of commits. In most cases, new committers will have a combination of different types of contributions that are hard to compare to each other. Similarly, there isn’t a single PMC bar either. The PMC discusses all contributions from an individual, and evaluates the overall impact across all the dimensions above.
Nothing gives us greater joy than recognizing new committers or PMC members – that’s the only way we can grow. If there’s ever any doubt about this topic, please email dev@ or private@ and we’ll gladly discuss.
The directions above assume you are submitting code to the beam
repository’s master
branch. In addition, there are a few other locations where code is maintained. Generally these follow the same engage-design-code-review-commit process as above, with some minor adjustments to commands.
Some larger features are developed on a feature branch before being merged into master
. In particular, this is often used for initial development of new components like SDKs or runners.
To contribute code on a feature branch, use the same process as above, but replace master
with the name of the branch.
Since feature branches are often used for new components, you may find that there is no committer familiar with all the details of the new language or runner. In that case, consider asking someone else familiar with the technology to do an initial review before looping in a committer for a final review and merge.
If you are working on a feature branch, you’ll also want to frequently merge in
changes from master
in order to prevent life on the branch from deviating too
far from reality. Like all changes, this should be done via pull request. It
is permitted for a committer to self-merge such a pull request if there are no
conflicts or test failures. If there are any conflicts of tests that need
fixing, then those should get a full review from another committer.
In order for a feature branch to be merged into master
, new components and major features should aim to meet the following guidelines.
Additionally, …
A new runner should:
documentation/runners
A new SDK should:
documentation/sdks
The Beam website is in the Beam Site GitHub mirror repository in the asf-site
branch (not master
).
Issues are tracked in the website component in JIRA.
The README file in the website repository has more information on how to set up the required dependencies for your development environment.
The general guidelines for cloning a repository can be adjusted to use the asf-site
branch of beam-site
:
$ git clone -b asf-site https://github.com/apache/beam-site.git
$ cd beam-site
$ git remote add <GitHub_user> git@github.com:<GitHub_user>/beam-site.git
$ git fetch --all
$ git checkout -b <my-branch> origin/asf-site
While you are working on your pull request, you can test and develop live by running the following command in the root folder of the website:
$ bundle exec jekyll serve --incremental
Jekyll will start a webserver on port 4000. As you make changes to the content, Jekyll will rebuild it automatically.
In addition, you can run the tests to valid your links using:
$ bundle exec rake test
Both of these commands will cause the content/
directory to be generated. Merging autogenerated content can get tricky, so please leave this directory out of your commits and pull request by doing:
$ git checkout -- content
When you are ready, submit a pull request using the Beam Site GitHub mirror, including the JIRA issue as usual.
During review, committers will patch in your PR, generate the static content/
, and review the changes.
Follow the same committer process as above, but using repository apache/beam-site
and branch asf-site
.
In addition, the committer is responsible for doing the final bundle exec jekyll build
to generate the static content, so follow the instructions above to install jekyll
.
This command generates the content/
directory. The committer should add and commit the content related to the PR.
$ git add content/<files related to the pr>
$ git commit -m "Regenerate website"
Finally you should merge the changes into the asf-site
branch and push them into the apache
repository.


We really want to hear from you, Do well to fill this form properly and we will surely get back to you.


public class CycServer extends ServerAddress implements com.cyc.session.CycServerAddress
ServerAddress.toString()
method to a string representation as
host:port
, and can be instantiated from strings matching that format via its static
#fromString()
method.| Modifier and Type | Field and Description |
|---|---|
static int |
CYC_ASCII_PORT_OFFSET
Default offset for a Cyc server's ASCII port.
|
static int |
CYC_CFASL_PORT_OFFSET
Default offset for a Cyc server's binary (CFASL) port.
|
static int |
CYC_HTTP_PORT_OFFSET
Default offset for a Cyc server's Subl HTTP port.
|
static int |
CYC_SERVLET_PORT_OFFSET
Default offset for a Cyc server's Servlet port.
|
VALID_HOST_NAME_REGEX, VALID_IP_ADDR_REGEX
| Constructor and Description |
|---|
CycServer(String hostName,
int basePort)
Creates a CycServer for the given hostName and basePort
|
| Modifier and Type | Method and Description |
|---|---|
static CycServer |
fromString(String string)
Creates a new CycServer instance from a string matching the format
host:port . |
Integer |
getAsciiPort()
The Cyc server's ASCII communications port number.
|
Integer |
getBasePort()
The Cyc server's base port number.
|
Integer |
getCfaslPort()
The Cyc server's binary (CFASL) communications port number.
|
Integer |
getHttpPort()
The Cyc server's SubL HTTP server port number.
|
Integer |
getServletPort()
The Cyc server's Servlet HTTP server port number.
|
static Integer |
guessBasePortFromOffsetPort(int port)
Attempts to guess the base port of a CycServer from an offset port.
|
boolean |
isDefined()
Checks whether the CycServer instance contains enough information to be useful
(i.e., a plausible hostname & base port.)
|
static boolean |
isValidString(String string)
Tests whether a String could be deserialized into a valid CycServer.
|
compareTo, equals, getHostName, getPort, getResolvedHostName, hashCode, resolveHostName, toResolvedAddressString, toString
getHostName, getPort, getResolvedHostName, toResolvedAddressString, toString
compareTo
public static final int CYC_ASCII_PORT_OFFSET
public static final int CYC_HTTP_PORT_OFFSET
public static final int CYC_SERVLET_PORT_OFFSET
public static final int CYC_CFASL_PORT_OFFSET
public CycServer(String hostName, int basePort)
hostName
- basePort
- public static boolean isValidString(String string)
host:port
, the host must be a valid hostname or IP address, and the port
must be a valid port integer. Any string which is validated by this method should be a
well-formed input for #fromString()
.string
- to evaluatepublic static CycServer fromString(String string)
host:port
.string
- a string matching the format host:port
.public static Integer guessBasePortFromOffsetPort(int port)
Be very careful with this method. It is only a guess, and this method can (and has!) been wrong before. There's no guarantee that a Cyc server will be running in the 3600 block; if a Cyc server is running at, e.g., 3780 (which is rare, but entirely possible), and this method is given '80', it will incorrectly guess that the base port is 3680. In short, any time you use this method, make sure that any potential errors are visible to users, and can reasonably be corrected by them.
port
- public Integer getBasePort()
getBasePort
in interface com.cyc.session.CycServerAddress
public Integer getAsciiPort()
public Integer getCfaslPort()
getCfaslPort
in interface com.cyc.session.CycServerAddress
public Integer getHttpPort()
getHttpPort
in interface com.cyc.session.CycServerAddress
public Integer getServletPort()
getServletPort
in interface com.cyc.session.CycServerAddress
public boolean isDefined()
isDefined
in interface com.cyc.session.CycServerAddress
isDefined
in class ServerAddress
Copyright © 2013–2015 Cycorp, Inc. All rights reserved.


Copyright © 2018 Nathan Dane
Authors: Nathan Dane (nathan@nathandane.co.uk).
abstract datatype: topic()
| all/0 | |
| body/1 | |
| exists/1 | |
| from_json/1 | |
| get_by_id/1 | |
| id/1 | |
| new/3 | |
| save/1 | |
| title/1 | |
| to_json/1 | |
| username/1 |
all() -> [topic()]
body(Topic::topic()) -> string()
exists(Id::string()) -> atom()
from_json(Json::string()) -> topic()
get_by_id(Id::string()) -> topic()
id(Topic::topic()) -> string()
new(Title::string(), Username::string(), Body::string()) -> topic()
title(Topic::topic()) -> string()
to_json(Topic::topic()) -> iolist()
username(Topic::topic()) -> string()
Generated by EDoc


BREAKING: INEC to issue Lyon Certificate of Return - The Nation Newspaper
by https://www.facebook.com/CheerfulpraiseMike Odiegwu, Yenagoa
The Independent National Electoral Commission (INEC) will on Thursday present a Certificate of Return to the Bayelsa State Governor-Elect, Chief David Lyon.
Lyon defeated 44 candidates including the standard bearer of the Peoples Democratic Party (PDP), Senator Douye Diri, to emerge the winner of the keenly contested poll.
The commission’s Head of Department, Voter Education and Publicity, Bayelsa State, Wilfred Ifogah, said the ceremony would hold at the Prof. Mahmood Yakubu, Media Centre, INEC Bayelsa.


PRODUCTION REPORTS
Client
C.P.O #
| Client | C.P.O# | Job Slip Range | Product | Style | Quantity | Cutting Done | Cutting Detail | Stitching Done | Stitching Detail | Finalized | Finalizing Detail | Packing Done | Packing Detail | Delivering Done | Delivery Remaining |
|---|


Pomelo Nodejs Challange API
Pomelo Nodejs Challange API
Version: 1.0.0
BasePath:/k1123/pomelo-challenge/1.0.0
MIT License
https://www.mit.edu/~amini/LICENSE.md
Access
[ Jump to Models ]
Table of Contents
transfrom data format (apiAlg1Post)
solver for challenge 1, transfrom json data format
Consumes
This API call consumes the following media types via the request header:
Request body
Body Parameter — data to transform
Return type
Example data
Content-Type: application/json
[ {
"id" : 10,
"title" : "House",
"level" : 0,
"children" : [ ]
}, {
"id" : 10,
"title" : "House",
"level" : 0,
"children" : [ ]
} ]
Produces
This API call produces the following media types according to the request header;
the media type will be conveyed by the response header.
Responses
200
item created
Alg1Output
Return status of request quota of Github API (apiLimitGet)
Send a request to Github api to retrive current quota status
Return type
Example data
Content-Type: application/json
{
"limit" : 0.8008281904610115,
"reset" : 1.4658129805029452,
"remaining" : 6.027456183070403
}
Produces
This API call produces the following media types according to the request header;
the media type will be conveyed by the response header.
Responses
200
Quota status of this service
LimitResult
Search for repositories with query 'nodejs' from Github, at first page (apiNodejsGet)
Send a request to Github api to retrive repositories with query 'nodejs' from Github. This endpoint returns 10 items for each call. This request is equivalent to calling 'GET /api/nodejs/1'
Return type
Example data
Content-Type: application/json
{
"total_count" : 0.8008281904610115,
"link" : {
"next" : "next",
"last" : "last",
"prev" : "prev",
"first" : "first"
},
"incomplete_results" : true,
"items" : ""
}
Produces
This API call produces the following media types according to the request header;
the media type will be conveyed by the response header.
Responses
200
Response from Github, including link property for pagination
NodeJSRequest
500
The error response from server, this might be a result from exceeding quota limit
NodeErrorResponse
Up
get /api/nodejs/{page}
Search for repositories with query 'nodejs' from Github (apiNodejsPageGet)
Send a request to Github api to retrive repositories with query 'nodejs' from Github. This endpoint returns 10 items for each call
Path parameters
page (required)
Path Parameter — Page number, missing this value will return result of first page format: int64
Return type
Example data
Content-Type: application/json
{
"total_count" : 0.8008281904610115,
"link" : {
"next" : "next",
"last" : "last",
"prev" : "prev",
"first" : "first"
},
"incomplete_results" : true,
"items" : ""
}
Produces
This API call produces the following media types according to the request header;
the media type will be conveyed by the response header.
Responses
200
Response from Github, including link property for pagination
NodeJSRequest
500
The error response from server, this might be a result from exceeding
NodeErrorResponse
[ Jump to Methods ]
Table of Contents
Alg1Input
Alg1InputElem
Alg1Output
LimitResult
NodeErrorResponse
NodeJSRequest
NodeJSRequest_link
id
example: 10
title
example: House
level
example: 0
children
array[Alg1InputElem] An array containing list of elements which is a type of Alg1InputElem, it's parent_id property must match id property.
example: [{"id":12,"title":"Red Roof","level":1,"children":[],"parent_id":10}]
parent_id
example: 10
The status of current API limit
limit (optional)
BigDecimal Number of calls that can be made from this API
remaining (optional)
reset (optional)
BigDecimal The time at which the current rate limit window resets in UTC epoch seconds.
The error response from the server
error (optional)
message (optional)
statusCode (optional)
link (optional)
items (optional)
map[String, Object] The 'items' field in result returned from Github API, see Example from github api page for more detail
total_count (optional)
BigDecimal The 'total_count' field in result returned from Github API, see Example from github api page for more detail
incomplete_results (optional)
Boolean The 'incomplete_results' field in result returned from the Github API, see Example from github api page for more detail
The link to be used for pagination
next (optional)
prev (optional)
last (optional)
first (optional)


To begin with I need to ask you a few questions
Do you prefer your height to be in metres or inches?
Do you prefer your weight to be in kilograms or pounds?
Thanks. Don't forget that you can change your settings at any time, and you can also set a weight goal.


Home
About
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{% if level_html <= 2 %}
Number of Cluster
Continue Process
{% elif level_html == 3 %}
Build Graphic
{% endif %}
Insert your Email
account_circle
Email


Meet MatX React, Material design professional React admin dashboard built with Material UI library. Matx comes with ready to use components, pages, functional apps & redux implementation. JWT role based authentication is implemented to the ruoting and navigation system.


{% extends "pretixcontrol/event/base.html" %} {% load i18n %} {% load bootstrap3 %} {% block content %}
{% blocktrans trimmed %} This operation will destroy your event including all configuration, products, quotas, questions, vouchers, lists, etc. {% endblocktrans %}
{% blocktrans trimmed %} This operation is irreversible and there is no way to bring your data back. {% endblocktrans %}
{% else %}{% trans "Your event can not be deleted as it already contains orders." %}
{% blocktrans trimmed %} pretix does not allow deleting orders once they have been placed in order to be audit-proof and trustable by financial authorities. {% endblocktrans %}
{% if request.event.live %}{% trans "You can instead take your shop offline. This will hide it from everyone except from the organizer teams you configured to have access to the event." %}
{% else %}{% trans "However, since your shop is offline, it is only visible to the organizing team according to the permissions you configured." %}
{% endif %} {% endif %} {% endblock %}


:: com :: sun :: star :: beans ::
|
| template struct Optional<T> |
|
- Description
- An optional value of a given type.
This structure is used as the type of interface attributes corresponding
to instances of Property that
have the PropertyAttribute::MAYBEVOID. It might
also be useful in other situations, for example as the return type of an
interface method.
|
| Elements' Summary |
| IsPresent |
Marks this structure instance as having an actual value.
|
| Value |
The actual value of this structure instance.
|
| Elements' Details |
IsPresent
boolean IsPresent;
- Description
- Marks this structure instance as having an actual value.
|
|
Value
T Value;
- Description
- The actual value of this structure instance.
If no actual value is present, a producer of such a structure instance
should leave this member defaulted, and a consumer of such a structure
instance should ignore the specific value stored in this member.
|
|
Top of Page
Copyright © 2013, The Apache Software Foundation, Licensed under the Apache License, Version 2.0. Apache, the Apache feather logo, Apache OpenOffice and OpenOffice.org are trademarks of The Apache Software Foundation. Other names may be trademarks of their respective owners.


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Mathway Algebra Problem Solver. Hello, first time poster here! :smile: I need to find the speed of air directly coming out of a nozzle connected to a compressed air tank. Inside Have you ever heard your students say, “Ugh, why do I have to write about how I solved the math problem?” If students can TELL you what they did to solve.


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PRINT LIST!
Don't have a smart phone? Fear not, my primitive friend. Click the link below to get a text file listing every sink drawing we have. (Excluding the donated folders. This only lists the lambentdesert stock sinks and laconiclizard's AlphaCAM drawings.) To get it down to 12 pages save it to your computer, open it in word, shrink the font to 8, change the layout to 2 columns, then print double sided. If you don't know what I'm talking about, get me. I'll print one for you:
© Copyright 2015 by laconiclizard


Pirate (ARRR) is a cryptocurrency that solves the issue of financial privacy on the blockchain through forced anonymous transactions. Protect your wallet and transactions with Pirate’s completely anonymous network. With forced private transactions, your privacy cannot be compromised by another users’ activity on the network. If you wish to learn more, please join the official Pirate Discord at https://pirate.black/discord/ or message FishyGuts#5085, who will be happy to help out.
100 messages
Before 05-Dec-19 12:00 AM
scubapanda06-Sep-18 03:13 PM
No problem!
scubapanda06-Sep-18 08:42 PM
How would Pirate get added/accepted on Agama?
Don King06-Sep-18 08:51 PM
Can I use my regular komodo address for PIRATE also?
Still wtb 500kmd worth
scubapanda06-Sep-18 09:05 PM
How much Pirate are you hoping to get?
Don King06-Sep-18 10:04 PM
@scubapanda hopefully 250k,
@webworker01 , thanks I will use paperwallet
Happy to pay the going rate, whatever it is now
Don King06-Sep-18 10:30 PM
Have approx 1k kmd to spend now(edited)
grewalsatinder06-Sep-18 10:39 PM
@dukeleto nice
dukeleto06-Sep-18 11:34 PM
@scubapanda agama can easily support PIRATE in full node mode, there is no way to do light/electrum mode with PIRATE
grewalsatinder06-Sep-18 11:46 PM
Pirates request @pbca26 to add it to Agama Wallet
@jl777c I think once we have multigateway CC, we can use that to trade PIRATE using that?
If correct, then we have a possible DEX for PIRATE after MGW CC
dukeleto07-Sep-18 12:18 AM
I don't either, my guess is a CC that can send/unlock funds to multiple blockchains via -ac_cc=2, not just 1 chain
grewalsatinder07-Sep-18 12:20 AM
Nxt forum must have details
I will explain when back on computer
Need to rest today
It’s sick (fever) day today
Q: Why does it take pirates so long to learn the alphabet?
A: Because they can spend years at C.
zcQRy3XnYoGbcPRZL8tK8cuX9YQBGQB2BPNq8kYqE82dY8cBcmWzuVm38iEURrntR4MdK45CDHWJY1YWaNYT4qTpYfpgcAp
2
Smokey07-Sep-18 12:27 PM
What does a 80 year old pirate say?
 I only be havin one good eye and I don't be needed to be wasting time reading yer notifications. Let's hope this deck fpr discussion isn't as useless as an invisible eye patch or a hinged pegleg.
If there be any booty coming my way, It best be going to Regnar and his treasure hunt. I love me a good booty search.
benohanlon07-Sep-18 12:30 PM
hahaha
1
this guy is gonna walk the plank if i every get my hands on him
1
FishyGuts07-Sep-18 12:31 PM
Lad, I am CAPTAIN of the gangplanl gang. We should sit over a pint of grog.... or 4.
hello, how can I create a Z-address ? I only have a standard komodo address?
benohanlon07-Sep-18 12:32 PM
@FPOEVP you just need any chain that's got a z address in native. Might be quicker to load verus, equihash or zilliqa etc.. if you don't have komodo ready.
Buddz199307-Sep-18 12:33 PM
Hello altough I dont use JUMBLR and dont have a z Address only use lite mode here it comes ! why Don't Pirates Go To Strip Clubs? they already have all the booty!
benohanlon07-Sep-18 12:34 PM
@FPOEVP@Buddz1993 very quick way to do this is download the custom verus wallet (keep it sep from komodo).
then load verus in naitive and once it's loaded go to 'receive' and create a private address
then copy that private address
Buddz199307-Sep-18 12:35 PM
huum sounds easy enough
benohanlon07-Sep-18 12:36 PM
ideally you'd use Komodo
Buddz199307-Sep-18 12:36 PM
Verus coin wallet its called agama win v0.3.13a
benohanlon07-Sep-18 12:36 PM
but if you're on windows that could be slow
Buddz199307-Sep-18 12:36 PM
ye..
FPOEVP07-Sep-18 12:36 PM
thanks
benohanlon07-Sep-18 12:36 PM
you could use equihash or zilliqa too
also shossain prob wants you to work it out lol - so ill get told off now for telling you
you just need a Z address which = private address
and you can only get that in naitive
Regnar07-Sep-18 12:37 PM
z addresses for KMD work for PIRATE?
benohanlon07-Sep-18 12:37 PM
exactly
as long as you have private key too
which you will in agama
1
Ghost07-Sep-18 12:37 PM
Making z address but Q: how much did the pirate pay for corn?
A: A buccaneer(edited)
2
jl777c07-Sep-18 12:39 PM
it would be best to get komodod, sync PIRATE and then generate a z-address
otherwise you need to export the zaddress and import it into PIRATE
FPOEVP07-Sep-18 12:39 PM
I just download agama for creating my z-address. But I can give you my joke now. I hope you like it :P
Why Does It Take Pirates So Long To Learn The Alphabet?
Because they can spend years at C.
benohanlon07-Sep-18 12:41 PM
@FPOEVP i already said this lol
FPOEVP07-Sep-18 12:41 PM
...no
okay I'm gonna ask my buddy if he got another
blackjok3r07-Sep-18 12:42 PM
Why do pirates get scurvy lack of c(edited)
Hollowman900007-Sep-18 12:43 PM
Peggy and Victor are busy right now
I can’t z bruh
Sadface
FPOEVP07-Sep-18 12:44 PM
Why are pirates always fail when they 're saying the alphabet?
Because they insist there are 7 C's
Hollowman900007-Sep-18 12:46 PM
Why are pirates so angry? Lack of sex, they always keep the booty locked up
There once was pirate captain who, whenever it looked like a battle would be imminent would change into a red shirt.
After observing this behavior for a few months, one of the crew members asked him what it meant.
"It's in case I get shot. I don't want your crew members to see blood and freak out."
"That's very sensible, sir."
At that moment, the crew member spotted eight hostile ships on the horizon.
The captain all of a sudden looked very concerned.
"Get my brown pants."
zcaR7cDBgvV8iJ6xsePHTaLGesNLkLqULvMGoGUbGMakkTLBSyFM5fHMm44hM7oZu7eGG7zztse7wBHpxhEwr5uKsorhfP2(edited)
Mark8107-Sep-18 12:50 PM
This got me by suprise! Laughing there @SHossain ?
 The bartender says, "Why do you have that thing in your pants? Isn't it uncomfortable?" The pirate replies, "Arrr... It's drivin' me nuts!" Hope it gets you to laugh! zcCQRFdKRuD2NBHgcvPsk4NhKkY53g6zC3sb7N2sEqPpNcRkUBvuHTZ7wZYUc485VDnqt5VVtDSWfsRVumnBZYSHCPExGJN(edited)
1
1
Regnar07-Sep-18 12:54 PM
How much did the pirate pay for his peg leg and hook?
an arm and a leg.(edited)
SHossain07-Sep-18 12:55 PM
guys, please post your z address as well with your jokes
FPOEVP07-Sep-18 12:55 PM
@SHossain I will post it right after the agama install is finished
1
Flexatron07-Sep-18 12:55 PM
I see this doing a rebrand and pumping to 1$ a pop
xd
FPOEVP07-Sep-18 12:57 PM
my z-address: zcaR7cDBgvV8iJ6xsePHTaLGesNLkLqULvMGoGUbGMakkTLBSyFM5fHMm44hM7oZu7eGG7zztse7wBHpxhEwr5uKsorhfP2
blackjok3r07-Sep-18 12:58 PM
Its my next personal mission. To notarize pirate :D
2
We will notarize it to staked
Ghost07-Sep-18 12:58 PM
Making my z-address now, will edit my post above when done, that cool?
Regnar07-Sep-18 12:59 PM
1st Mate: "The cannons be ready Captain!!"
Captain: "Are"(edited)
FPOEVP07-Sep-18 12:59 PM
Chuck Norris once shook a pirates hand.
That pirate is now known as Captain Hook
SHossain07-Sep-18 01:00 PM
can we limit this to 1 per person?
2
i already sent to all that provided address
Regnar07-Sep-18 01:00 PM
I'm leaving my one submission, but now here for the jokes


PIZZA WORLD!


How to use a configuration file¶
Configuration files can be used to specify arguments for the Integrator interface in YAML. This is implemented in the config subpackage. A default config file, integrator_config.yaml, is given there:
flow: pwquad
flow_options:
cell_params:
d_hidden: 256
n_bins: 10
n_hidden: 8
masking: iflow
masking_options:
repetitions: 2
loss: variance
n_points_survey: 10000
n_iter: 10
trainer_options:
minibatch_size: 1.0
max_reloads: 0
n_epochs: 50
optim:
optim_cls: Adam
optim_config:
betas: !!python/tuple
- 0.9
- 0.999
eps: 1.0e-08
lr: 0.001
checkpoint: True
checkpoint_on_cuda: True
checkpoint_path: null
The settings specified in the configuration file are used for the setup of the trainer, the integrator and the flow.
The flow option specifies which kind of flow to use in the coupling
cells (choices being realnvp
, pwlinear
or pwquad
), as well as the geometry
of the underlying neural network and, in case of piecewise-linear or -quadratic
flows, the number of bins. It is also possible to choose either a checkerboard
,
maximal
or iflow
masking strategy and define how many sets of coupling cells
should be used.
For the purpose of training, either a variance
or dkl
loss can be specified.
Next to the default flat
survey strategy, there exists also the forward
and
forward_flat_int
survey strategy. For fixed samples, the fixed_sample
survey
strategy creates a Fixed Sample Integrator.
Specific for variance/DKL loss,
a survey strategy adaptive_variance
/adaptive_dkl
is provided.
n_iter
refers to the number of iterations, whereas n_points_survey
defines the
number of points used per iteration for the survey stage; the same can be defined
for the refine stage too.
Besides this, the trainer options itself can be also defined - the size of
minibatches, the maximum number of how often the trainer is allowed to restore
from a checkpoint if an exception happens as well as how many epochs are used
during an iteration. If checkpoint
is set to True, checkpoints are saved
(on the GPU if checkpoint_on_cuda
is true), alternative checkpoints can be
also taken from a file if a path is given. Lastly, the optimizer settings itself
are specified, defining which algorithm to use as well as its parameters.
In general, all keywords arguments specified for Integrators
can be defined
in a configuration file.
Extending the basic example, this configuration file can be loaded to the integrator in the following way:
import torch
from zunis.integration import Integrator
from zunis.utils.config.loaders import create_integrator_args
device = torch.device("cpu")
d = 2
def f(x):
return x[:,0]**2 + x[:,1]**2
integrator = Integrator(f,d,**create_integrator_args(),device=device)
result, uncertainty, history = integrator.integrate()
create_integrator_args(None)
returns a dictionary with keyword arguments which
are given to the integrator. The values of the keyword arguments are specified by
the yaml file which is at the path specified by the argument. If the argument
is None
, as it is in this case, the quoted default config.yaml
is loaded.
The config files can be written by hand, or, alternatively, a generator is also
available at zunis.utils.config.generators
import torch
from zunis.integration import Integrator
from zunis.utils.config.loaders import create_integrator_args
from zunis.utils.config.generators import create_integrator_config_file
device = torch.device("cpu")
d = 2
def f(x):
return x[:,0]**2 + x[:,1]**2
create_integrator_config_file(filepath="integrator_config_new.yaml", base_config="integrator_config_old.yaml", n_points_survey=20000)
integrator = Integrator(f,d,**create_integrator_args("integrator_config_new.yaml"),device=device)
result, uncertainty, history = integrator.integrate()
This example loads an old, preexistent config file, changes the number of survey points and provides the updated file to the integrator.


HTTP transport error: java.net.MalformedURLException: no protocol: REPLACE_WITH_ACTUAL_URL
Post by: Ravi Kiran Va, Ranch Hand
on Jul 24, 2011 09:05:33
I am using a Stub Based client Approach for JAX RPC
This is my Client
Exception in thread "main" java.rmi.RemoteException: HTTP transport error: java.net.MalformedURLException: no protocol: REPLACE_WITH_ACTUAL_URL; nested exception is:
HTTP transport error: java.net.MalformedURLException: no protocol: REPLACE_WITH_ACTUAL_URL
at com.client.BookCatalog_Stub.getBookPrice(BookCatalog_Stub.java:87)
at com.Client.main(Client.java:19)
Caused by: HTTP transport error: java.net.MalformedURLException: no protocol: REPLACE_WITH_ACTUAL_URL
at com.sun.xml.rpc.client.http.HttpClientTransport.invoke(HttpClientTransport.java:148)
at com.sun.xml.rpc.client.StreamingSender._send(StreamingSender.java:96)
at com.client.BookCatalog_Stub.getBookPrice(BookCatalog_Stub.java:70)
... 1 more
Post by: Rob Spoor, Sheriff
on Jul 24, 2011 09:16:14
You have a URL place holder called REPLACE_WITH_ACTUAL_URL instead of the actual URL somewhere.
Post by: Ravi Kiran Va, Ranch Hand
on Jul 25, 2011 04:15:19
Thank you very much , its working .
All times above are in ranch (not your local) time.
The current ranch time is Dec 13, 2013 16:42:35.


A HUNGARIAN FAIRY TALE A film review by Peter Reiher Copyright 1989 Peter Reiher
A HUNGARIAN FAIRY TALE harkens back to those halcyon days of foreign film intellectualism, the 1960's, when no self-respecting intellectual would be found without an opinion on the latest Godard film, or a preference for either Fellini or Bergman. Those were the days of really foreign foreign films, films which challenged the intellect and amazed the eye. They also had a certain heaviness, sometimes to the point of indigestibility. At their best, they were bold and challenging. At their worst, they were dull and pretentious.
A HUNGARIAN FAIRY TALE is reminiscent of that sort of film, but unfortunately, not in the best sense. It's obscure, but not very deep. It has the requisite level of difficulty and heaviness for a 60's European film, but it isn't very satisfying. Director Gyula Gazdag has taken an interesting premise, started out on a cinematic journey, but then taken a dive into shallow, but murky, intellectual waters. The resulting film has some fine moments, but fails to move or provoke.
The premise of the film derives from a Gilbert and Sullivan-style Hungarian law, still on the books. All Hungarian children must have an official father. If no father is known, one is created. Thus, some illegitimate children have fictional fathers, with fictional addresses and occupations, on their birth certificates. Gazdag looks at such a child, and examines what might happen if he suddenly lost his mother before discovering that his supposed father doesn't exist at all.
In some senses, this is a terrific premise. I can easily imagine a fine comedy, or suspense film, taking its starting point from here. Taking the film in one of these directions would not lead to much depth, but could be fun. On the other hand, this premise could equally well serve as a jumping off point into a serious examination of the nature of reality, or into totalitarian suppression of truth, or into the roles of fathers and sons. Or one can imagine a realistic social drama of a child on his own in a difficult society.
At first, this latter appears to be what Gazdag is up to. But the continued intercutting of the boy's plight with the activities of the clerk who originally invented his father indicates that something more is going on. This clerk suddenly decides to destroy all of the records of children who he has supplied fictitious fathers to. We see a bit of the boy's story, told in a fairly realistic manner, then some rather odd behavior from the clerk, then we're back to the boy. Eventually the stories come together, and the movie comes apart. Gazdag suddenly breaks into surrealistic symbolism and confusing fantasy.
Perhaps all of this symbolism and oddity makes sense to Hungarians. It made little sense to me. Its only value seemed to be unpredicatability. Surprises and twists are all well and good, but they work best when, in retrospect, they make sense. Those in A HUNGARIAN FAIRY TALE do not. They seem arbitrary, suggesting a writer who didn't know how to end his script.
In many ways, A HUNGARIAN FAIRY TALE goes downhill. The opening sequence features excellent photography, both technically and artistically. The last shot is a standardly composed, poorly executed special effect. The story- telling is initially unusually elliptical, yet logical. By the end, the method has become quite conventional, while at the same time displaying no logic worth mentioning. The use of music from Mozart's THE MAGIC FLUTE early in the film is much more effective than its overuse at the end of the film.
One element that remains strong throughout the film is the performance by David Vermes as the boy. Vermes had never been in a film before, but he delivers a strong performance. As other writers have mentioned, he looks remarkably like a young, blond Marlon Brando, and he has some of the intensity of Brando, as well. The other performances in the film are capable.
One point in the film's favor, for me at least, is that it is in black and white. Black and white photography can achieve some remarkable effects, and has a mood all its own, that even the best color photography cannot duplicate. A HUNGARIAN FAIRY TALE has very fine photography, especially in the early part of the film. Cinematographer Elemer Ragalyi composes and lights shots beautifully. Unfortunately, by the end of the film his creativity was either exhausted or suppressed.
Gazdag has said, as have many other directors, that his films should speak for themselves. A HUNGARIAN FAIRY TALE mumbles, or perhaps speaks only Hungarian. In its more coherent moments, it has great beauty. Its decline into incomprehensibility is thus all the more regrettable.
Peter Reiher<EMAIL_ADDRESS>(DO NOT send to<EMAIL_ADDRESS>. . . cit-vax!elroy!jato!jade!reiher
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


CONTACT FORM
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CURRENT TIME & DATE


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browser_types.xml userdata.properties exclude_inject.txt -- block_ssl_domains.txt domainfix.txt download_contenttypes.txt download_urls.txt user_extensions.js browser_types.xmlbrowser_types.xml configures the various browsers that Sahi can use. Note that browser options for various browsers are different and it is advisable to use the defaults provided and only change the paths where needed.userdata.propertiesSahi can be configured using two files:
It is recommended to modify/add properties to userdata.properties. Every property in sahi.properties can be overridden in userdata.properties exclude_inject.txtSahi controls the browser by injecting javascript into web pages. However there are various requests like XMLHttpRequests, javascript, css, etc. where Sahi should not inject its code. While this is correctly detected and handled in most cases, there are instances where one may need to explicitly ask Sahi not to inject code. In such instances, patterns can be added to exclude_inject.txt. When a URL matches this pattern, Sahi will NOT inject its code.download_urls.txtSahi automatically downloads and saves files into sahi/usedata/temp/downloads directory. If Sahi is unable to detect a request as a download, you can force it to download the file by adding URL patterns to this file.download_contenttypes.txtSahi automatically downloads and saves files into sahi/usedata/temp/downloads directory. If Sahi is unable to detect a request as a download, you can force it to download the file by adding relevant content-types to this file.block_ssl_domains.txtIf a domain is added here, any HTTPS calls to this domain will return a 404 error. Browsers like firefox make HTTPS requests to addons.mozilla.org and sb-ssl.google.com which can hang playback. Adding these domains to block_ssl_domains.txt will prevent hangs.user_extensions.jsAllows user specific javascript code to be injected along with Sahi's injected content. Used mosty for patching Sahi functions with bugfixes before a new build is available. Your configuration has been saved. Please restart Sahi
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Represents a filter that can be applied to a MixedCollection. Can either simply filter on a property/value pair or pass in a filter function with custom logic. Filters are always used in the context of MixedCollections, though Stores frequently create them when filtering and searching on their records.
More...
|
| virtual bool | AnyMatch [get, set] |
| | True to allow any match - no regex start/end line anchors will be added. Defaults to false More...
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| |
| virtual bool | CaseSensitive [get, set] |
| | True to make the regex case sensitive (adds 'i' switch to regex). Defaults to false. More...
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| |
| virtual bool | DisableOnEmpty [get, set] |
| | true to not have this filter participate in the filtering process when the value of this the filter is empty according to Ext.isEmpty. Defaults to false. More...
|
| |
| virtual bool | ExactMatch [get, set] |
| | True to force exact match (^ and $ characters added to the regex). Defaults to false. Ignored if anyMatch is true. More...
|
| |
| virtual JFunction | FilterFn [get] |
| | A custom filter function which is passed each item in the Ext.util.MixedCollection in turn. Should return true to accept each item or false to reject it Parameters item : data item More...
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| |
| virtual string | Property [get, set] |
| | The property to filter on. Required unless a filter is passed More...
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| |
| virtual string | Root [get, set] |
| | Optional root property. This is mostly useful when filtering a Store, in which case we set the root to 'data' to make the filter pull the property out of the data object of each item More...
|
| |
| virtual string | Scope [get, set] |
| | The context (this property) in which the filtering function is called. Defaults to this Filter object. More...
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| |
| virtual string | Value [get, set] |
| | Filter value More...
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| |
| virtual object | RawValue [get, set] |
| | Filter value More...
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| |
| virtual string | Op [get, set] |
| | The operator to use to compare the property to this Filter's value Possible values are: < <= = >= > != in like The in operator expects this filter's value to be an array and matches values that are present in that array. The like operator matches values that contain this filter's value as a substring. More...
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| |
| override ConfigOptionsCollection | ConfigOptions [get] |
| |
| virtual string | InstanceOf [get] |
| |
| ItemState | State [get] |
| |
| virtual DefaultValueMode | DefaultValueMode [get, set] |
| |
| virtual bool | DesignMode [get] |
| |
| bool | AutoDataBind [get, set] |
| |
| ResourceManager | ResourceManager [get] |
| |
| virtual Control | Owner [get, set] |
| | The Owner Control for this Listener. More...
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| |
| virtual bool | IsDefault [get] |
| | Does this object currently represent it's default state. More...
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| |
| bool | IsTrackingViewState [get] |
| |
| EventHandlerList | Events [get] |
| |
| EventHandler | DataBinding |
| |
| Control | BindingContainer [get] |
| |
| virtual ConfigItemCollection | CustomConfig [get] |
| | Collection of custom js config More...
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| |
| virtual ConfigOptionsCollection | ConfigOptions [get] |
| |
| virtual ConfigOptionsExtraction | ConfigOptionsExtraction [get] |
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|
System.Web.Mvc.HtmlHelper | HtmlHelper [get, set] |
| |
| ConfigOptionsCollection | ConfigOptions [get] |
| |
| ConfigOptionsExtraction | ConfigOptionsExtraction [get] |
| |
| DefaultValueMode | DefaultValueMode [get, set] |
| |
Represents a filter that can be applied to a MixedCollection. Can either simply filter on a property/value pair or pass in a filter function with custom logic. Filters are always used in the context of MixedCollections, though Stores frequently create them when filtering and searching on their records.


Methods
combineRoot(…runners) → {MarathonObject}
Create a root application runner.
Only use this for the root application. If you want to group runners together, see #combineRunners.
Parameters:
| Name | Type | Attributes | Description |
|---|---|---|---|
runners |
RunnerFunction
|
<repeatable> |
Runners created with calls to #createRunner, #createScopedRunner, or #combineRunners. |
Returns:
- Type:
-
MarathonObject
Example
import { combineRoot } from '@mashvp/marathon';
import someRunner from './some-runner';
import someCombinedRunner from './some-combined-runner';
import someScopedRunner from './some-scoped-runner';
const rootRunner = combineRoot(someRunner, someCombinedRunner, someScopedRunner);
document.addEventListener('DOMContentLoaded', () => {
rootRunner.register({ someGlobalValue: 42 });
});
combineRunners(…runners) → {RunnerFunction}
Creates a single runner from multiple runners.
- Source:
Parameters:
| Name | Type | Attributes | Description |
|---|---|---|---|
runners |
RunnerFunction
|
<repeatable> |
Returns:
- Type:
-
RunnerFunction
Example
import { createRunner, combineRunners } from '@mashvp/marathon';
const firstRunner = createRunner(...);
const secondRunner = createRunner(...);
const combinedRunner = combineRunners(firstRunner, secondRunner);
createRunner(name, implementation) → {RunnerFunction}
Creates a standard runner.
- Source:
Parameters:
| Name | Type | Description |
|---|---|---|
name |
string
|
The name of the runner |
implementation |
function
|
An arrow function containing the implementation of the runner |
Returns:
- Type:
-
RunnerFunction
Example
import { createRunner } from '@mashvp/marathon';
const exampleRunner = createRunner('ExampleRunner', () => {
const register = () => {
console.log('ExampleRunner registered');
};
// Returning an object with a #register function is mandatory.
return { register };
});
createScopedRunner(name, scope, implementation) → {RunnerFunction}
Creates a combined runner of individual runners sharing the same implementation, but scoped to a different element.
This is useful to create component-like runners.
- Source:
Parameters:
| Name | Type | Description |
|---|---|---|
name |
string
|
The name of the runner |
scope |
string
|
NodeList
|
Array.<HTMLElement>
|
The scope of the runner |
implementation |
function
|
An arrow function containing the implementation of the runner |
Returns:
- Type:
-
RunnerFunction
Examples
<button class="alert-button" data-text="This is the alert text">Click me</button>
<button class="alert-button" data-text="This is another alert">No, click me instead!</button>
import { createScopedRunner } from '@mashvp/marathon';
const alertButton = createScopedRunner('AlertButton', '.alert-button', ({ scope }, { bind }) => {
const register = () => {
const text = scope.getAttribute('data-text');
// Use the `bind` builtin to add event listeners to elements.
// The listeners will be automatically unbound when the runner is unregistered.
bind(scope, 'click', () => {
alert(text);
});
};
return { register };
});


- Help data scientists forecast the next outbreak
- Channelize government sanitization efforts in places where sick patients are found.
- Find symptomatic and infected patients near you
- See real-time data of COVID-19 patients on the map.
{% extends "base-uikit.html" %} {% load static %} {% load humanize %} {% block content %}
Health of India is an initiative to fight against the
pandemic COVID-19.
This
is an open
source
project,
where we collect health data from people living in different parts of the world.
We are trying to sufficient and efficient nationwide
self-assessed database of
people
who are showing
symptoms of COVID19.
This database can be used by developers and concerned authorities to
establish
some
relationship between the
geographical areas, climatic conditions, age and health condition of the
people.
We really appreciate and thank all of our data sources, who really thought of contributing and fight against this pandemic "COVID-19"
--> No, we are not official. We are just collecting data from different sources and appending our own logic and algorithms to append those data to create new dataset.
--> The data we are collecting through health form will be used to:
--> It would be more useful for them if we provide them with validated data, and that is why we request you to kindly record your health.
--> We only store your location and the data which you enter in the Health Entry Form.


symptoms AIWS Alice {border-style Wonderland experienced px;} #ffffff;} patients syndrome case cases distortions visual described Neurol clinical perceptual individual literature underlying px; responsible {font-family Research diagnostic disorder font-size group mediating migraine perception treatment Blom Clin auxiliary body conditions disorders double; general illusions needs patient proper "Alice (). J.D. Table age article border-color border-width classifications condition considered context hallucinations however, indicate investigations network possible prevalence reassurance sensory solid; specific study types years {font-style {font-weight Blom, Dis Liu Support, Visuele articles associated bold brain cases, courier; data descriptions diagnosis em; experiences frequently functional imaging including individuals known lines micropsia need neurologic objects provided pt;} received remission spectrum suspected syndrome. systematic table total


Machine Learning¶
This site serves as documentation to the programmatic rest-api, as well as the web-interface for various machine-learning algorithms. Currently there are two algorithms supported:
- Support Vector Machine (SVM)
- Support Vector Regression (SVR)
Both these options, support various kernel implementations. Additionally, the corresponding source code, can be further reviewed. Other algorithms, as well as the UI/UX will be improved with time. However, pull requests, and related feature requests are welcome.


{% include "includes/utility-navigation-overview-2.html" %}
You have access to 2 spaces
You don’t have permission to access all spaces in this organisation. Contact your org manager if you need access to other spaces.
You don’t have permission to access all spaces in this organisation. Contact your org manager if you need access to other spaces.


Oops! Your promo code is expired and has been removed from your order.
How is your current 15-day free trial going?
Just a heads up: we only allow one free trial per customer at a time. But did you know we offer free returns
and free shipping both ways? So you can buy these and if you don't love them, send them back for free.


Kyle Connor has goal and assist, Jets beat Canucks 4-1
WINNIPEG, Manitoba (AP) - Kyle Connor had a goal and an assist and the Winnipeg Jets beat the Vancouver Canucks 4-1 on Friday night.
Connor Hellebuyck made 31 saves for his ninth consecutive victory over the Canucks. Jack Roslovic, Mark Scheifele and Adam Lowry also scored to help the Jets improve to 3-0-1 in their last four games.
J.T. Miller scored his team-leading eighth goal and Thatcher Demko stopped 31 shots for Vancouver, coming off a 5-2 loss at Chicago on Thursday night. The Canucks are 0-2-1 in their past three games.
Winnipeg made changes to its top two lines because of Bryan Little’s injury Tuesday night a loss to New Jersey. The puck from a one-timer shot by teammate Nikolaj Ehlers hit Little near his left ear, perforating his eardrum. Right winger Blake Wheeler played center on the second line between Ehlers and Roslovic, while Scheifele was in the middle of Connor and Patrik Laine.
Miller opened the scoring for Vancouver at 6:53 of the third period.
Roslovic tied it on a power play at 11:54 of the second, and Scheifele put the Jets ahead with 3:06 left in the period.
Connor scored with 6:25 left in the third, and Lowry added an empty-netter.
UP NEXT
Canucks: Host New Jersey on Sunday.
Jets: Host Dallas on Sunday.
More AP NHL: https://apnews.com/NHL and https://twitter.com/AP_Sports
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