# ******************************************************************************
# Copyright 2017-2018 Intel Corporation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ******************************************************************************
import os
from six.moves import urllib
import numpy as np
from nlp_architect.utils.generic import license_prompt
[docs]class FastTextEmb:
"""
Downloads FastText Embeddings for a given language to the given path.
Arguments:
path(str): Local path to copy embeddings
language(str): Embeddings language
vocab_size(int): Size of vocabulary
Returns:
Returns a dictionary and reverse dictionary
Returns a numpy array with embeddings in emb_sizexvocab_size shape
"""
def __init__(self, path, language, vocab_size, emb_dim=300):
self.path = path
self.language = language
self.vocab_size = vocab_size
self.emb_dim = emb_dim
self.url = "https://s3-us-west-1.amazonaws.com/fasttext-vectors/wiki." + language + ".vec"
def _maybe_download(self):
"""
Download filename from url unless it's already in directory
"""
# 1. Check if the file doesnt exist. Download and extract if it doesnt
filename = "wiki." + self.language + ".vec"
filepath = os.path.join(self.path, filename)
link = "https://github.com/facebookresearch/fastText/blob/master/pretrained-vectors.md"
if not os.path.exists(filepath):
if license_prompt(filepath, link, self.path):
print("Downloading FastText embeddings for " + self.language + " to " + filepath)
urllib.request.urlretrieve(self.url, filepath)
statinfo = os.stat(filepath)
print("Sucessfully downloaded", filename, statinfo.st_size, "bytes")
else:
exit()
else:
print("Found FastText embeddings for " + self.language + " at " + filepath)
return filepath
[docs] def read_embeddings(self, filepath):
word2id = {}
word_vec = []
with open(filepath) as emb_file:
for i, line in enumerate(emb_file):
# Line zero has total words, emb dimensions
if i == 0:
split_line = line.split()
assert len(split_line) == 2
assert self.emb_dim == int(split_line[1])
# Rest of line are word, word_vec format
else:
word, vector = line.rstrip().split(" ", 1)
vector = np.fromstring(vector, sep=" ")
# If norm is zero fill with 0.01
if np.linalg.norm(vector) == 0:
vector[0] = 0.01
assert vector.shape == (self.emb_dim,), i
# Assign a token
word2id[word] = len(word2id)
word_vec.append(vector[None])
# Check if your reached goal of vocab_size
if i >= self.vocab_size:
break
# Reverse dictionary
id2word = {v: k for k, v in word2id.items()}
# Dictionary just combines both id2word and word2id into one dict
dico = Dictionary(id2word, word2id, self.language)
# All word_vectors
word_vec = np.concatenate(word_vec, 0)
# Normalize the embeddings
return dico, word_vec
[docs] def load_embeddings(self):
# Check if embeddings exist else download
filepath = self._maybe_download()
# Read embeddings
dico, word_vec = self.read_embeddings(filepath)
print("Completed loading embeddings for " + self.language)
word_vec = np.float32(word_vec)
return dico, word_vec
[docs]def get_eval_data(eval_path, src_lang, tgt_lang):
"""
Downloads evaluation cross lingual dictionaries to the eval_path
Arguments:
eval_path: Path where cross-lingual dictionaries are downloaded
src_lang : Source Language
tgt_lang : Target Language
Returns:
Path to where cross lingual dictionaries are downloaded
"""
eval_url = "https://s3.amazonaws.com/arrival/dictionaries/"
link = "https://github.com/facebookresearch/MUSE#ground-truth-bilingual-dictionaries"
src_path = os.path.join(eval_path, "%s-%s.5000-6500.txt" % (src_lang, tgt_lang))
filename = src_lang + "-" + tgt_lang + ".5000-6500.txt"
if not os.path.exists(src_path):
if license_prompt(src_path, link, src_path):
os.system("mkdir -p " + eval_path)
print("Downloading cross-lingual dictionaries for " + src_lang)
urllib.request.urlretrieve(eval_url + filename, src_path)
print("Completed downloading to " + eval_path)
else:
exit()
return src_path
[docs]class Dictionary:
"""
Merges word2idx and idx2word dictionaries
Arguments:
id2word dictionary
word2id dictionary
language of the dictionary
Usage:
dico.index(word) - returns an index
dico[index] - returns the word
"""
def __init__(self, id2word, word2id, lang):
assert len(id2word) == len(word2id)
self.id2word = id2word
self.word2id = word2id
self.lang = lang
self.check_valid()
def __len__(self):
"""
Returns the number of words in the dictionary.
"""
return len(self.id2word)
def __getitem__(self, i):
"""
Returns the word of the specified index.
"""
return self.id2word[i]
def __contains__(self, w):
"""
Returns whether a word is in the dictionary.
"""
return w in self.word2id
def __eq__(self, y):
"""
Compare the dictionary with another one.
"""
self.check_valid()
y.check_valid()
if len(self.id2word) != len(y):
return False
return self.lang == y.lang and all(self.id2word[i] == y[i] for i in range(len(y)))
[docs] def check_valid(self):
"""
Check that the dictionary is valid.
"""
assert len(self.id2word) == len(self.word2id)
for i in range(len(self.id2word)):
assert self.word2id[self.id2word[i]] == i
[docs] def index(self, word):
"""
Returns the index of the specified word.
"""
return self.word2id[word]


 Don't make a fool of yourself like
Sentry Roselyn
did.


DTK: Dunnett-Tukey-Kramer Pairwise Multiple Comparison Test Adjusted
for Unequal Variances and Unequal Sample Sizes
This package was created to analyze multi-level one-way
experimental designs. It is designed to handle vectorized
observation and factor data where there are unequal sample
sizes and population variance homogeneity can not be assumed.
To conduct the Dunnett modified Tukey-Kramer test (a.k.a. the
T3 Procedure), create two vectors: one for your observations
and one for the factor level of each observation. The function,
gl.unequal, provides a means to more conveniently produce a
factor vector with unequal sample sizes. Next, use the DTK.test
function to conduct the test and save the output as an object
to input into the DTK.plot function, which produces a
confidence interval plot for each of the pairwise comparisons.
Lastly, the function TK.test conducts the original Tukey-Kramer
test.
| Version: |
3.5 |
| Published: |
2013-07-01 |
| Author: |
Matthew K. Lau |
| Maintainer: |
Matthew K. Lau <mkl48 at nau.edu> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
no |
| CRAN checks: |
DTK results |
Downloads:
Reverse dependencies:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=DTK
to link to this page.


The data for this project was retrieved every minute via the real-time Citi Bike station status feed 1 from April 7, 2018 to April 16, 2018. This feed scans for updates every 10 seconds and contains information on the availability of bikes and docks at each station in the Citi Bike system. The LaGuardia Pl & W 3 St Citi Bike station was selected because it had slightly above average bike capacity of 35 bikes $(\mu = 30.3)$, and appeared to be consistently used (Figure 1 & Figure 2a).
The field "num_bikes_available" was used for this project; this field contains the number of bikes available for rental at each station during any given time 2. Since the feed only updates when there is a change (e.g. when a bike is rented or returned), the timestamp used for this project is based on the time of data retrieval (i.e. every minute), rather than the reported timestamp. This was done to ensure evenly spaced time intervals.
To determine which ARIMA model is best suited for this dataset $(n = 12,995)$, we plot the number of bikes available, its log, and its difference (Figure 2). In the plot with the number of bike available by minute, there does appear to be some seasonality. The timeseries does appear to dip and rise in some periodic manner, but it does not appear to be completely consistent. For example, sometimes the lowest point on a day is around 8:00 UTC (e.g. April 9), other days it’s around 12:00 UTC (e.g. April 12), and on April 16 it was on 3:00 UTC. The cycles do not appear to match a weekly cadence either: Monday, April 9 had the lowest point around 8:00 UTC compared to April 16 at 3:00 UTC, and Saturday, April 7 had the lowest point around 14:00 UTC compared to April 14 at 5:00 UTC. Since it is difficult to discern the seasonal pattern, we will not be making seasonal adjustments. It is also possible that weather temperature had an impact on the timeseries. For example, days with larger dips (e.g. April 12 -14) also happen to have warmer weather3. It also appears that when the there are more bikes available, the timeseries is more volatile, which is suggestive of level-dependent volatility and heteroskedasticity, thus it may be necessary to take logs of the data.
Based on the ACF/PACF plots of log bike available, we should take differences (Figure 3a & 3b). Refering back to the plots of the differenced data over time, it appears that both are mean reverting (Figure 2c & 2d). The twice differenced ACF show negative value at lag 1, which suggest overdifferencing. This suggested that we should set $d = 1$. Looking at the ACF/PACF plots of the differenced log bike available, it appears that both plots are dying down, suggestive of an ARMA model. To follow the guiding principle of parsimony, we will try parameters of 3 or less for $p$, and $q$.
To help determine the exact $p$ and determine whether or not to include a constant we use AICc.
The candidate model with the lowest AICc is ARIMA(3,1,3) without constant (-47050.73; Figure 4).
Figure 5. Final Estimates of ARIMA Parameters
Thus, we will select these parameters and obtain the model:
$x_{t} = -0.6394x_{t-1} + 0.1644x_{t-2} + 0.599x_{t-3} + \varepsilon _{t} + 0.7143\varepsilon_{t-1} - 0.0968\varepsilon_{t-2} - 0.0667\varepsilon_{t-3} $
where $x_{t}$ is log bikes_available$_{t}$ - log bikes_available$_{t - 1}$
To determine if we have a reasonable model, we will use the Modified Box-Pierce (Ljung-Box) Chi-Square Statistic and examine the residual plots. Using the Modified Box-Pierce Chi-Square Statistic, we see that there is significance at all reported lags (Figure 6). This indicates that there is strong evidence model is inadequate.
Figure 6. Modified Box-Pierce (Ljung-Box) Chi-Square Statistic for ARIMA(3,1,3) Model
Additionally, looking at the time series residual plot, variance is not constant, possibly showing conditional heteroscedasticity (Figure 7). The ACF and PACF of the residuals look like white noise at earlier lags and does not appear significant until much larger lags, suggesting that the data is uncorrelated (Figure 7a & 7b). The ACF and PACF for the squared residuals show that there is much autocorrelation in the squared residuals even at earlier lags suggesting that the data is correlated (Figure 7c & 7d). Since the residual ACF & PACF suggest that the data is uncorrelated and the squared residual suggest correlated, this would indicate that the data is not independent. There appears to be some structure in the data that not captured by the ARIMA model, suggesting that a nonlinear model may be appropriate.
Figure 7. ARIMA Residual Plots
To determine which ARCH or GARCH model to use, we use AICc to evaluate candidate models (Figure 8).
Figure 8a.AICC for Candidate ARCH Models
Figure 8b. AICC for Candidate GARCH(1,1) Model
The GARCH(1,1) model has the lowest AICc (-61607.05). Thus, we will use this model, which yields $h_{t} = 0.0000005255 + 0.02037\varepsilon^{2}_{t-1} + 0.9812h_{t-1}$. Based on the model output, all estimates are statistically significance with $p < 2.2e-16$.
Figure 9. Model Outputs for GARCH(1,1) Model
The 95% one-step ahead forecast for ARIMA is (1.865661, 2.020754) and ARIMA-ARCH is (1.608771, 2.277645). The ARIMA-ARCH forecast interval is wider.
Figure 10. Forecast Intervals for ARIMA and ARIMA-ARCH Model
Examining the conditional variance plot (Figure 11), periods of high variance do coincide with periods of high volatility in the original plot (Figure 2a). There are spikes around April 12 - April 14 the coincide with the large dips in the timeseries.
Figure 11. Conditional Variance of ARCH Model
Looking at the forecast from the ARIMA(3,1,3) Model (Figure 12a), it appears that interval is too narrow. If we were to compare the forecast to historical values the ARIMA model forecast would not encompass the majority of values. In contrast, the ARIMA-ARCH model forecasts encompass the majority of values, only failing 738 of the 12955 times (5.6%).
Figure 12. Log Bikes Available Forecast Intervals
The normality plot for ARCH Residuals (Figure 13) appears to exhibit leptokurtosis.
Figure 13. Normality Plot for ARCH Residuals
There is a large number of data points (outliers) that are curved and trailing both the left and right side of the plot. This suggests that the model did not adequately describe the leptokurtosis, because if the model was adequate, the normality plot would be close to a straight line.


--- layout: archive title: Lean Prover Zulip Chat Archive permalink: archive/208328IMOgrandchallenge/12899folkloreproblems.html ---
Miroslav Olšák There are many sources of problems that I think would provide valuable data for IMO, e.g. problems from national Olympiads. It is hard to say without knowing more whether your folklore list is worth the trouble of you translating it to English.
OK, I think I will translate them anyway, it seems useful in general.
Here are the folklore problems that I mentioned: http://www.olsak.net/mirek/folklore-problems.pdf , source: http://www.olsak.net/mirek/folklore-problems-src.tgz
{% endraw %} {% include archive_update.html %}


Loot Distribution
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We examine services!
- synthesize global infomediaries
- mesh enterprise functionalities
- whiteboard best-of-breed systems
- generate sticky web-readiness
- synthesize sexy platforms
- generate best-of-breed supply-chains
- redefine 24/365 synergies
- enhance vertical systems
- innovate turn-key eyeballs
- harness front-end content
- innovate revolutionary platforms
- target e-business convergence
- engage user-centric networks
- synthesize sticky e-markets
- envisioneer open-source supply-chains


{% extends "base.html" %} {% block body %}
| Delete | Active Status | Payload Type | Command | Author | Registration Time | In Effect | Actions |
|---|---|---|---|---|---|---|---|
| [[s.payload_type]] | Support Script - [[s.name]] [[s.command]] | [[s.author]] | [[toLocalTime(s.creation_time)]] |
[[in_effect(s)]]User Modded User Created |
|
| Remove | Payload Type | Command | Author | Operator | Registration Time | View |
|---|---|---|---|---|---|---|
| [[s.payload_type]] |
Support Script - [[s.name]]
[[s.command]]
User Modded User Created |
[[s.author]] | [[s.operator]] | [[toLocalTime(s.creation_time)]] |


@(userForm: Form[User], movielist: java.util.ArrayList[String], noname: String, nopass: String)
@import helper._
@mainreg("Register") {
Registration Form
@helper.form(action = routes.Javatar.submit()){
@if(noname){
ENTER A VALID USERNAME
}
@helper.inputText(userForm("username"), '_label -> "Username:")
@if(nopass){
ENTER A VALID PASSWORD
}
@helper.inputPassword(userForm("password"), '_label -> "Password:")
Rate Ten Movies
will load more movies if you don't rate 10 here
@inputRadioGroup(
userForm("movie1"),
options = options("0"->"0","1"->"1","2"->"2","3"->"3","4"->"4","5"->"5"),
'_label -> movielist.get(0))
@inputRadioGroup(
userForm("movie2"),
options = options("0"->"0","1"->"1","2"->"2","3"->"3","4"->"4","5"->"5"),
'_label -> movielist.get(1))
@inputRadioGroup(
userForm("movie3"),
options = options("0"->"0","1"->"1","2"->"2","3"->"3","4"->"4","5"->"5"),
'_label -> movielist.get(2))
@inputRadioGroup(
userForm("movie4"),
options = options("0"->"0","1"->"1","2"->"2","3"->"3","4"->"4","5"->"5"),
'_label -> movielist.get(3))
@inputRadioGroup(
userForm("movie5"),
options = options("0"->"0","1"->"1","2"->"2","3"->"3","4"->"4","5"->"5"),
'_label -> movielist.get(4))
@inputRadioGroup(
userForm("movie6"),
options = options("0"->"0","1"->"1","2"->"2","3"->"3","4"->"4","5"->"5"),
'_label -> movielist.get(5))
@inputRadioGroup(
userForm("movie7"),
options = options("0"->"0","1"->"1","2"->"2","3"->"3","4"->"4","5"->"5"),
'_label -> movielist.get(6))
@inputRadioGroup(
userForm("movie8"),
options = options("0"->"0","1"->"1","2"->"2","3"->"3","4"->"4","5"->"5"),
'_label -> movielist.get(7))
@inputRadioGroup(
userForm("movie9"),
options = options("0"->"0","1"->"1","2"->"2","3"->"3","4"->"4","5"->"5"),
'_label -> movielist.get(8))
@inputRadioGroup(
userForm("movie10"),
options = options("0"->"0","1"->"1","2"->"2","3"->"3","4"->"4","5"->"5"),
'_label -> movielist.get(9))
}
}


Open Room
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Open or Join Room
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Incoming Call
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Chat Box


Don't Design In Photoshop
What is Photoshop
Design
is an
iterative process
Pixel Perfect
Isn't Perfect
Photoshop Doesn't Show Interaction
Paper To Code
Paper Prototyping
Wire Frames
Style Guides
csste.st
while( $devs > 0 )
$complexity++
Great Designers Get Feedback
Real Users Rule!
Data Informed Design
Qualitative & Quantitative
Run Tests
Make Mistakes
No Silver Bullet


A full stack developer in training, Zackery Rilling is a known hustler with a knack for developing useless apps for beer drinking san diegans. When he's not building apps for the lesser good, Zackery, who prefers to go by Zack, doesn't work and plays video games all day.


mobiletest.it
Test mobile responsive web pages for free.
A mobile friendly website tester
mobiletest.it
>
blog
>


- EPS - Static variable in class us.ihmc.euclid.rotationConversion.AxisAngleConversion
-
Tolerance used to identify various edge cases, such as to identify when a quaternion is a neutral
quaternion.
- EPS - Static variable in class us.ihmc.euclid.rotationConversion.QuaternionConversion
-
Tolerance used to identify various edge cases, such as to identify when an axis-angle represents
a zero orientation.
- EPS - Static variable in class us.ihmc.euclid.rotationConversion.RotationMatrixConversion
-
Tolerance used to identify various edge cases, such as to identify when an axis-angle represents
a zero orientation.
- EPS - Static variable in class us.ihmc.euclid.rotationConversion.RotationVectorConversion
-
Tolerance used to identify various edge cases, such as to identify when an axis-angle represents
a zero orientation.
- EPS - Static variable in class us.ihmc.euclid.tools.AxisAngleTools
-
Tolerance used to identify edge cases, such as when the axis part of an axis-angle can not be
normalized.
- EPS - Static variable in class us.ihmc.euclid.tools.QuaternionTools
-
- EPS_ANGLE_SHIFT - Static variable in class us.ihmc.euclid.tools.EuclidCoreTools
-
- EPS_CHECK_2D - Static variable in class us.ihmc.euclid.tools.Matrix3DFeatures
-
Default tolerance for determining whether a matrix 3D represents a 2D transformation or not.
- EPS_CHECK_IDENTITY - Static variable in class us.ihmc.euclid.tools.Matrix3DFeatures
-
Default tolerance for determining whether a matrix 3D represents the identity matrix or not.
- EPS_CHECK_ROTATION - Static variable in class us.ihmc.euclid.tools.Matrix3DFeatures
-
Default tolerance for determining whether a matrix 3D represents a 3D rotation matrix or not.
- EPS_CHECK_SKEW - Static variable in class us.ihmc.euclid.tools.Matrix3DFeatures
-
Default tolerance for determining whether a matrix 3D is skew symmetric or not.
- EPS_INVERT - Static variable in class us.ihmc.euclid.tools.Matrix3DTools
-
- EPS_MAX_LENGTH - Static variable in interface us.ihmc.euclid.tuple3D.interfaces.Vector3DBasics
-
- EPS_NORM_FAST_SQRT - Static variable in class us.ihmc.euclid.tools.EuclidCoreTools
-
Magic number used as a tolerance for switching to the fast square-root formula.
- EPS_POW - Static variable in interface us.ihmc.euclid.tuple4D.interfaces.QuaternionBasics
-
- EPS_UNITARY - Static variable in interface us.ihmc.euclid.tuple4D.interfaces.QuaternionReadOnly
-
Default tolerance used to verify that this quaternion is a unit-quaternion.
- EpsilonComparable<T> - Interface in us.ihmc.euclid.interfaces
-
This interface is used for any object that can be compared with a tolerance epsilon
.
- epsilonEquals(double, double, double) - Static method in class us.ihmc.euclid.tools.EuclidCoreTools
-
Tests if the two values are equal to an epsilon
:
|expectedValue
- actualValue
| ≤ epsilon
- epsilonEquals(T, double) - Method in interface us.ihmc.euclid.interfaces.EpsilonComparable
-
Tests if this
is equal to other
to an epsilon
.
- epsilonEquals(AxisAngle32, double) - Method in class us.ihmc.euclid.axisAngle.AxisAngle32
-
Tests on a per component basis, if this axis-angle is equal to other
to an
epsilon
.
- epsilonEquals(AxisAngle, double) - Method in class us.ihmc.euclid.axisAngle.AxisAngle
-
Tests on a per component basis, if this axis-angle is equal to other
to an
epsilon
.
- epsilonEquals(AxisAngleReadOnly, double) - Method in interface us.ihmc.euclid.axisAngle.interfaces.AxisAngleReadOnly
-
Tests on a per component basis, if this axis-angle is equal to other
to an
epsilon
.
- epsilonEquals(Matrix3DReadOnly, double) - Method in interface us.ihmc.euclid.matrix.interfaces.Matrix3DReadOnly
-
Tests on a per coefficient basis if this matrix is equal to the given other
to an
epsilon
.
- epsilonEquals(Matrix3DReadOnly, Matrix3DReadOnly, double) - Static method in class us.ihmc.euclid.tools.Matrix3DFeatures
-
Tests on a per component basis if the two given matrices are equal to an epsilon
.
- epsilonEquals(RotationScaleMatrixReadOnly, double) - Method in interface us.ihmc.euclid.matrix.interfaces.RotationScaleMatrixReadOnly
-
Tests the rotation parts and scales of both matrices are equal to an epsilon
.
- epsilonEquals(Matrix3D, double) - Method in class us.ihmc.euclid.matrix.Matrix3D
-
Tests on a per coefficient basis if this matrix is equal to the given other
to an
epsilon
.
- epsilonEquals(RotationMatrix, double) - Method in class us.ihmc.euclid.matrix.RotationMatrix
-
Tests on a per coefficient basis if this matrix is equal to the given other
to an
epsilon
.
- epsilonEquals(RotationScaleMatrix, double) - Method in class us.ihmc.euclid.matrix.RotationScaleMatrix
-
Tests the rotation parts and scales of both matrices are equal to an epsilon
.
- epsilonEquals(AffineTransform, double) - Method in class us.ihmc.euclid.transform.AffineTransform
-
Tests separately and on a per component basis if the rotation part, the scale part, and the
translation part of this transform and other
are equal to an epsilon
.
- epsilonEquals(QuaternionBasedTransform, double) - Method in class us.ihmc.euclid.transform.QuaternionBasedTransform
-
Tests separately and on a per component basis if the rotation part and the translation part of
this transform and other
are equal to an epsilon
.
- epsilonEquals(RigidBodyTransform, double) - Method in class us.ihmc.euclid.transform.RigidBodyTransform
-
Tests separately and on a per component basis if the rotation part and the translation part of
this transform and other
are equal to an epsilon
.
- epsilonEquals(Tuple2DReadOnly, double) - Method in interface us.ihmc.euclid.tuple2D.interfaces.Tuple2DReadOnly
-
Tests on a per component basis if this tuple is equal to the given other
to an
epsilon
.
- epsilonEquals(Tuple2DReadOnly, Tuple2DReadOnly, double) - Static method in class us.ihmc.euclid.tools.TupleTools
-
Tests on a per component basis if the two given tuples are equal to an epsilon
.
- epsilonEquals(Point2D32, double) - Method in class us.ihmc.euclid.tuple2D.Point2D32
-
Tests on a per component basis if this point is equal to the given other
to an
epsilon
.
- epsilonEquals(Point2D, double) - Method in class us.ihmc.euclid.tuple2D.Point2D
-
Tests on a per component basis if this point is equal to the given other
to an
epsilon
.
- epsilonEquals(Vector2D32, double) - Method in class us.ihmc.euclid.tuple2D.Vector2D32
-
Tests on a per component basis if this vector is equal to the given other
to an
epsilon
.
- epsilonEquals(Vector2D, double) - Method in class us.ihmc.euclid.tuple2D.Vector2D
-
Tests on a per component basis if this vector is equal to the given other
to an
epsilon
.
- epsilonEquals(Tuple3DReadOnly, double) - Method in interface us.ihmc.euclid.tuple3D.interfaces.Tuple3DReadOnly
-
Tests on a per component basis if this tuple is equal to the given other
to an
epsilon
.
- epsilonEquals(Tuple3DReadOnly, Tuple3DReadOnly, double) - Static method in class us.ihmc.euclid.tools.TupleTools
-
Tests on a per component basis if the two given tuples are equal to an epsilon
.
- epsilonEquals(Point3D32, double) - Method in class us.ihmc.euclid.tuple3D.Point3D32
-
Tests on a per component basis if this point is equal to the given other
to an
epsilon
.
- epsilonEquals(Point3D, double) - Method in class us.ihmc.euclid.tuple3D.Point3D
-
Tests on a per component basis if this point is equal to the given other
to an
epsilon
.
- epsilonEquals(Vector3D32, double) - Method in class us.ihmc.euclid.tuple3D.Vector3D32
-
Tests on a per component basis if this vector is equal to the given other
to an
epsilon
.
- epsilonEquals(Vector3D, double) - Method in class us.ihmc.euclid.tuple3D.Vector3D
-
Tests on a per component basis if this vector is equal to the given other
to an
epsilon
.
- epsilonEquals(Tuple4DReadOnly, double) - Method in interface us.ihmc.euclid.tuple4D.interfaces.Tuple4DReadOnly
-
Tests on a per component basis if this tuple is equal to the given other
to an
epsilon
.
- epsilonEquals(Tuple4DReadOnly, Tuple4DReadOnly, double) - Static method in class us.ihmc.euclid.tools.TupleTools
-
Tests on a per component basis if the two given tuples are equal to an epsilon
.
- epsilonEquals(Quaternion32, double) - Method in class us.ihmc.euclid.tuple4D.Quaternion32
-
Tests on a per component basis if this quaternion is equal to the given other
to an
epsilon
.
- epsilonEquals(Quaternion, double) - Method in class us.ihmc.euclid.tuple4D.Quaternion
-
Tests on a per component basis if this quaternion is equal to the given other
to an
epsilon
.
- epsilonEquals(Vector4D32, double) - Method in class us.ihmc.euclid.tuple4D.Vector4D32
-
Tests on a per component basis if this vector is equal to the given other
to an
epsilon
.
- epsilonEquals(Vector4D, double) - Method in class us.ihmc.euclid.tuple4D.Vector4D
-
Tests on a per component basis if this vector is equal to the given other
to an
epsilon
.
- equals(Object) - Method in class us.ihmc.euclid.axisAngle.AxisAngle
-
- equals(Object) - Method in class us.ihmc.euclid.axisAngle.AxisAngle32
-
- equals(Object) - Method in class us.ihmc.euclid.matrix.Matrix3D
-
- equals(Object) - Method in class us.ihmc.euclid.matrix.RotationMatrix
-
- equals(Object) - Method in class us.ihmc.euclid.matrix.RotationScaleMatrix
-
- equals(Object) - Method in class us.ihmc.euclid.transform.AffineTransform
-
- equals(Object) - Method in class us.ihmc.euclid.transform.QuaternionBasedTransform
-
- equals(Object) - Method in class us.ihmc.euclid.transform.RigidBodyTransform
-
- equals(Object) - Method in class us.ihmc.euclid.tuple2D.Point2D
-
- equals(Object) - Method in class us.ihmc.euclid.tuple2D.Point2D32
-
- equals(Object) - Method in class us.ihmc.euclid.tuple2D.Vector2D
-
- equals(Object) - Method in class us.ihmc.euclid.tuple2D.Vector2D32
-
- equals(Object) - Method in class us.ihmc.euclid.tuple3D.Point3D
-
- equals(Object) - Method in class us.ihmc.euclid.tuple3D.Point3D32
-
- equals(Object) - Method in class us.ihmc.euclid.tuple3D.Vector3D
-
- equals(Object) - Method in class us.ihmc.euclid.tuple3D.Vector3D32
-
- equals(Object) - Method in class us.ihmc.euclid.tuple4D.Quaternion
-
- equals(Object) - Method in class us.ihmc.euclid.tuple4D.Quaternion32
-
- equals(Object) - Method in class us.ihmc.euclid.tuple4D.Vector4D
-
- equals(Object) - Method in class us.ihmc.euclid.tuple4D.Vector4D32
-
- equals(AxisAngleReadOnly) - Method in interface us.ihmc.euclid.axisAngle.interfaces.AxisAngleReadOnly
-
Tests on a per component basis, if this axis-angle is exactly equal to other
.
- equals(Matrix3DReadOnly) - Method in interface us.ihmc.euclid.matrix.interfaces.Matrix3DReadOnly
-
Tests on a per component basis if this matrix is exactly equal to other
.
- equals(Matrix3DReadOnly, Matrix3DReadOnly) - Static method in class us.ihmc.euclid.tools.Matrix3DFeatures
-
Tests on a per coefficient basis if the two matrices m1
and m2
are exactly
equal.
- equals(RotationScaleMatrix) - Method in class us.ihmc.euclid.matrix.RotationScaleMatrix
-
Tests if the rotation parts and scales of both matrices are exactly equal.
- equals(AffineTransform) - Method in class us.ihmc.euclid.transform.AffineTransform
-
Tests separately and on a per component basis if the rotation part, the scale part, and the
translation part of this transform and other
are exactly equal.
- equals(QuaternionBasedTransform) - Method in class us.ihmc.euclid.transform.QuaternionBasedTransform
-
Tests separately and on a per component basis if the rotation part and the translation part of
this transform and other
are exactly equal.
- equals(RigidBodyTransform) - Method in class us.ihmc.euclid.transform.RigidBodyTransform
-
Tests separately and on a per component basis if the rotation part and the translation part of
this transform and other
are exactly equal.
- equals(Tuple2DReadOnly) - Method in interface us.ihmc.euclid.tuple2D.interfaces.Tuple2DReadOnly
-
Tests on a per component basis, if this tuple is exactly equal to other
.
- equals(Tuple3DReadOnly) - Method in interface us.ihmc.euclid.tuple3D.interfaces.Tuple3DReadOnly
-
Tests on a per component basis, if this tuple is exactly equal to other
.
- equals(Tuple4DReadOnly) - Method in interface us.ihmc.euclid.tuple4D.interfaces.Tuple4DReadOnly
-
Tests on a per component basis, if this tuple is exactly equal to other
.
- EuclidCoreIOTools - Class in us.ihmc.euclid.tools
-
EuclidCoreIOTools
is intended to gather the input & output tools for printing, saving,
and loading geometry objects.
- EuclidCoreIOTools() - Constructor for class us.ihmc.euclid.tools.EuclidCoreIOTools
-
- EuclidCoreRandomTools - Class in us.ihmc.euclid.tools
-
This class provides random generators to generate random geometry objects.
- EuclidCoreRandomTools() - Constructor for class us.ihmc.euclid.tools.EuclidCoreRandomTools
-
- EuclidCoreTestTools - Class in us.ihmc.euclid.tools
-
This class provides the tools to perform a variety of assertions on Euclid Core's types.
- EuclidCoreTestTools() - Constructor for class us.ihmc.euclid.tools.EuclidCoreTestTools
-
- EuclidCoreTools - Class in us.ihmc.euclid.tools
-
- EuclidCoreTools() - Constructor for class us.ihmc.euclid.tools.EuclidCoreTools
-
- EuclidHashCodeTools - Class in us.ihmc.euclid.tools
-
Generic operations on hash-code used throughout this library for computing hash-codes of object
as
Point3D
.
- EuclidHashCodeTools() - Constructor for class us.ihmc.euclid.tools.EuclidHashCodeTools
-


--- layout: default ---
Indonesian Language Evaluation Montage
IndoLEM is a comprehensive Indonesian NLP dataset encompassing a broad range of morpho-syntactic, semantic, and discourse analysis competencies. The purpose of IndoLEM is to benchmark progress in Indonesian NLP.
Fajri Koto, Afshin, Rahimi, Jey Han Lau, and Timothy Baldwin. IndoLEM and IndoBERT: A Benchmark Dataset and Pre-trained Language Model for Indonesian NLP. In Proceedings of the 28th COLING, December 2020.


Hover me!
Pickles
Tomato
Lettuce
Cheese
Bacon
Meat
The Almighty Cheeser
Behold, it's the one and only cheese king. Nothing comes close to being as cheesy as the cheeser.
€ 15,50Asteroid Burger
Ready for blast off? EAT this delicious burger before it flies to space!
€ 16,50
Click me!
Ketchup Lover
You're like Ketchup. You go with everything. But wait, where is the ketchup!?
€ 14,50Spicy BBQ Madness
Are you sure you're not afraid? This burger is not for the weak. It contains the biggest red pepper you have seen in your life.
€ 19,50


{{ define "main" }}
Ecommerce Blog
{{ .Date.Format "January 2, 2006" }}
This is an example of a summary. There should be like 3-4 sentences. Just gives the reader something to skim.


{% extends "base.html" %} {% block content %} {% if validlink %}
The password reset link was invalid, possibly because it has already been used. Please request a new password reset.


Key Signature: General Facts
In HP MIDIFILE the key signature has to be defined with its string as used by the musician.
The following key signatures are allowed:
"Cb","Gb","Db","Ab","Eb","Bb","F","C","G","D","A","E","B","F#","C#".
Each one of these signatures may be contatenated with "m" do specify the moll, for example
"Ebm" or "Fm".


This task demonstrates how you can use the WLM_CAPTURE_ACTIVITY_IN_PROGRESS procedure to capture detailed information about a currently executing activity for later historical analysis. Activity information you capture is sent to the active event monitor for activities.
Previous tasks showed how the COLLECT ACTIVITY DATA clause is used for workloads, service classes, work actions and thresholds to capture detailed activity information. This clause needs to be specified in advance before an activity begins executing and information is sent to the activities event monitor when the activity completes. The WLM_CAPTURE_ACTIVITY_IN_PROGRESS procedure allows you to capture information reactively when you notice a problem with an activity already in progress. When this procedure is used, information about an activity is sent to the activities event monitor immediately. Both basic and statement activity information are collected, but not input data.


I like
apples
and oranges
I also like:
bananas
mangoes, including:
Haden mangoes
Keitt mangoes
Kent mangoes
cherries
plums,including:
Elephant Heart plums
Stanly plums
Seneca plums
apricots
peaches
grapes


{% extends "common/base.html" %} {% block page_title %}Home{% endblock page_title %} {% block extra_css %} {% endblock %} {% block page_content %}
This is the home of Monitoring for Datacenters handled by GIS / CS / Canux CHENG.
This website serves as an entry point for monitoring, you will find the list of applications we are handling to monitor datacenters that may help you during your day to day work.
Refer to colored labels Public, Technical, Management and Helpdesk to help you find a suitable application.


| |
You can now experience the redefined Vivint Smart Home from the comfort and convienience of your computer or device. See how over one million Vivint customers are able to control, monitor, and protect their homes with the latest in home technologies.
With this new online demo, you'll experience the touch screen controls of locks, garage doors, lights, cameras, and even experience what USA Today calls "Caller ID for your front door" as you test drive Vivint's new Doorbell Cam and two-way talk.
Test Drive a Vivint Smart Home >
|
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| |
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image/svg+xml
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HOME
ABOUT
STORY
REGISTER
EVENTS
ARCHIVES
SPONSORS
PROF SHOW
STORE
CONTACTS
Tale of
Troy
Tale of
Moses
Tale of
Mahabharat
Tale of
Noah


AWS Glue Classifier XMLClassifier
The
XMLClassifier
property type specifies specifies an AWS Glue classifier for XML content.
XMLClassifier
is a property of the AWS::Glue::Classifier resource
type.
Syntax
To declare this entity in your AWS CloudFormation template, use the following syntax:
JSON
{ "Classification" :
String
, "Name" :String
, "RowTag" :String
}
YAML
Classification:
String
Name:String
RowTag:String
Properties
Classification
-
An identifier of the data format that the classifier matches.
Required: Yes
Type: String
Update requires: No Interruption
Name
-
The name of the classifier.
Required: Yes
Type: String
Update requires: Replacement
RowTag
-
The XML tag designating the element that contains each record in an XML document being parsed. Note that this cannot identify a self-closing element (closed by />). An empty row element that contains only attributes can be parsed as long as it ends with a closing tag. For example,
<row item_a="A" item_b="B"></row>
is okay, but<row item_a="A" item_b="B" />
is not.Required: Yes
Type: String
Update requires: No Interruption
See Also
-
XMLClassifier Structure in the AWS Glue Developer Guide


Timings
+91-800-9876-221
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Book an Appointment
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2 columns - List style
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Contact
<EMAIL_ADDRESS>+91-800-9876-221
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Send us an Email
Name
*
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Opening Hours
Lorem ipsum dolor sit amet, consecte adipisicing elit molestiae non.
Monday
8:00am - 11:00pm
Tuesday
8:00am - 11:00pm
Wednesday
8:00am - 11:00pm
Thursday
8:00am - 11:00pm
Friday
8:00am - 11:00pm
Saturday
8:00am - 1:30pm
Sunday
Closed


Tiffany Huang
Software Engineer
Hello! I recently graduated from UC San Diego with a degree in Computer Science.
I aim to gain experience while utilizing my software development and critical thinking skills. I am always open to learning new things and taking on new challenges.
View My Resume →My Portfolio
A collection of my work experience and projects.


ANNUAL 2019
The Tipperary Christmas Annual is the ultimate Tipperary gift this Christmas
by ReporterSince it was launched in 2017, the Tipperary Christmas Annual has become a bit of an institution and it is now a firm favourite in Christmas stockings at home and abroad.
The book peers into the past year with photographs, articles, tributes and profiles. This year’s edition is out this week in both the Tipperary Star and The Nationalist offices and in local newsagents, priced at just €3.95.
Brought to you by the team at the Tipperary Star and The Nationalist, the pages are packed with events from throughout the year, dips into Premier County history, showcases photographs and highlights the sporting wins from the year gone by.
The rich tapestry of the local arts and cultural scene is also on show with countless events from the past year recalled and celebrated.
This year’s Annual is packed with even more than ever before for all the family. There is a big (and very tough) wordsearch, the Sports Quiz of the Year and the Great Big Movie Quiz to keep you all entertained over the festive season.
All in all, it’s the perfect Christmas gift for Tipperary people all over the world. Go on, give a real Premier County present this Christmas - the Tipperary Christmas Annual. Out now!


This is an anchor.
Test link.
Test link.
Test link.
Test link.
Open Google.
Open Yahoo.
Open Facebook.
Test anchor.


Join a startup with the potential to be one of the fastest-growing green energy producers in the world
Focus on B2B, institutional, or governmental opportunities
No travel is required, but opportunities to present our product(s) at national events are expected
Skills:
Sales, marketing, or grant-writing experience preferred
Effective verbal and written communication skills
Entrepreneurial mindset
Self-starter
Professional demeanor
Goal and performance driven
Positive and confident attitude
Enthusiastic representation of our company and products
Ability to present information in a persuasive manner
Ability to work independently
Great organizational skills
Computer proficiency
Excellent research skills
Ability to understand our needs as well as the needs of the organization that is making a purchase or offering grant money
Knowledge of energy, electricity, engineering, or any science is a plus, but not required
Grant Writers are responsible for preparation of grant proposals and applications. Performance of reasonable and professional administrative work in researching, identifying, developing and responding to public and private grant opportunities
Location:
Work from anywhere
100% remote job
Full or part-time
Benefits:
Unlimited income potential
Commission only (negotiable)
Flexible schedule
Be your own boss
Build your own business (optional)
Become a hanging wind turbine installation expert
Installers:
Expand or start a business as a certified REVOLT Hanging Wind Turbine installer
Must be mechanically inclined and physically fit
Must have your own tools and ladders
Must have reliable transportation
Must provide your own insurance
We provide training and technical assistance
We work with local sales staff to find leads in your area


My work in tech started when I set up an Ecommerce site for small import/export organization. From there
i've gone on to work in QA in many companies in fields including telecom, pharma, banking, analytics
and ecommerce.
I've contributed to successful launch of many products as a QA engineer. To branch out from quality engineering, I
switched to change management on an operations team in a large ecommerce organization. I'm proud have successfully updated and streamlined change and stability processes, and automated business critical alerting and reporting.
It's this automation experience that led me to development. This page is to show and track some of my
dev activity.


How to enable or disable a Splash page for this site. When a visitor first comes to the standard URL of your site, that is the main URL (E.g. http://www.awesomecycles.biz
or http://www.awesomecycles.biz
) rather than a specific page (E.g. http://www.awesomecycles.biz/ContactUs/tabid/103/Default.aspx
) the Splash page is displayed.
A Splash page must be created by a Page Editor or an Administrator. The Splash page is typically not included in the site menu. The Splash page should include some form of redirection to one or more site pages. This can be done by adding a link to a site pages, or adding a Flash animation with an automatic redirect feature to the Splash page.
A Sample Splash Page


ScratchX to Scratch3 extension converter
Welcome to Mrcomputer1's ScratchX to Scratch 3.0 Extension
Before starting please ensure you extension follows these guidelines:
1. Inside your extension file everything should be inside functions except for ScratchExtensions.register. Instead place them at ext._init.
2. Do not use any calls to ScratchExtensions except for ScratchExtensions.register.
3. Not have any important code in _shutdown or _getInfo as they will be removed.
4. All inputs (%s, %n, ...) in your block should have a space before and after.
5. Change callback() to return and remove callback from your arguments
- Execute your extension's code in your browser's JavaScript console
- Copy the output from the below textarea


This project runs avalanches on one-dimensional, non-looping lattice, with varying parameters. At every time step (when a grain of sand of dropped on the pile), all the avalanches that take place mark a bar of their extend on a line beneath the lattice, and the line is moved down.
The idea is to see if it lends itself to some sort of analysis at that level.


Whatsapp Analyzer
Activity Graph
Graph based on message activity in the converstaion.
Tag Cloud
Tag cloud of most used words in the conversation.
Message count
If its a group converstation with 10+ memebers, the Top 10 is listed above.
Media Share
Seems like a lot of media being shared..!
Champion Board
SPOTLIGHT
Most Active Date -
Most Active Day -
Active Hour of Day -
Average number of Messages per Day -
The Media share Freak -
The Silent Spectator -
The Talker -


Assessment Code
Assessment Lecturer
Assessment Name
{#
#} {#
Registration_date
#} {#
#} {#
#}
Realease_date
Submission_date
Assessment format
Percentage
Coursework Mark
Google Doc provided by the admin team
Excel spreadsheet provided by the admin team
N/A - formal exam


Using a Stencil built web component collection within an Angular CLI project is a four-step process. We need to:
app.module.ts
(or some other appropriate place)Including the CUSTOM_ELEMENTS_SCHEMA in the module allows the use of the web components in the HTML markup without the compiler producing errors. Here is an example of adding it to AppModule
:
import { BrowserModule } from '@angular/platform-browser';
import { CUSTOM_ELEMENTS_SCHEMA, NgModule } from '@angular/core';
import { FormsModule } from '@angular/forms';
import 'test-components/testcomponents';
import { AppComponent } from './app.component';
import { SharedModule } from './shared/shared.module';
@NgModule({
declarations: [AppComponent],
imports: [BrowserModule, FormsModule, SharedModule],
providers: [],
bootstrap: [AppComponent],
schemas: [CUSTOM_ELEMENTS_SCHEMA],
})
export class AppModule {}
A component collection built with Stencil includes a main script that is used to load the components in the collection. That script needs to be imported in your application as such (see full file listing above):
...
import 'test-components/testcomponents';
...
During the build, the components need to be copied to the build output directory. The easiest way to do this is to modify include the collection in the assets
array of the .angular-cli.json
file.
"assets": [
"assets",
"favicon.ico",
{ "glob": "**/*", "input": "../node_modules/test-components/testcomponents", "output": "./testcomponents" }
],


Daily Detail
Event Name
Staff Names
Visits
Revenue ($)
{% for event in events %}
{{event.EventName}}
{{event.StaffNames}}
{{event.Visits}}
{{event.Revenue}}
{% endfor %}
Back


A web page is a text document written in a language called HTML. Web browsers read these documents, and then interpret and display them.
How Coding WorksCoding happens when programmers write text in a language that a computer can understand. The computer can then follow the instructions the programmer wrote.
This video gives a good overview. Computers are StupidProgrammers need to write exactly the way a computer understands (also known as writing with correct "syntax").  And that's okay. If you forget how to make text italic in HTML, you can always just look it up.
Basic HTML VocabularyYou will be using HTML in the next few lessons, so it will be helpful if you're comfortable with the jargon
-Tag: An HTML tag is always contained within angled brackets. Most tags have an opening tag and a closing tag,. Some tags (called "void" tags) do not require a closing tag.


Dr. Sean Michael Meehan
Ph.D. (Mathematics), The Ohio State University
M.S. (Mathematics), The Ohio State University
B.S. (Mathematics), The University of Notre Dame
Research Mathematician/Data Scientist
Spring, TX
<EMAIL_ADDRESS>Thank you for visiting! On this site, I plan to paint a picture of who I am as an academic, a professional, and most importantly, a person. Currently, I am seeking employment as a data scientist, but I believe my background in mathematics, and problem solving in general, could extend to a variety of disciplines. As a result, I hope that this page gives you a sense of my main areas of interest. If not for anything else, the process of designing this webpage gave me some fun experience with HTML, CSS, and git.
How I... And You!... Got Here
I figure I should give some insight as to my current background and what I'm trying to do. In what follows, you'll see the route I took to become the person I am today.
Lifelong Love of Mathematics
I have always had a love of mathematics. My parents tell me that as a two-year old, I would often place myself directly in front of the TV at night; the NJ Lottery was on, and I absolutely loved watching all of the numbers flop around. Over the years, math has become more than just a subject to me — it is my profession, my passion. Very early on (at two years old, apparently), I decided I wanted to learn as much math as I possibly could. In high school, this amounted to taking both AP Calculus AB/BC exams, as well as AP Statistics, but things got more interesting once I got to college.
In college at The University of Notre Dame, I decided to be one of 10-15 students to major in "Honors" Mathematics; Honors Mathematics was a specialized program where students would receive experience in theoretical (think "proof-based") math classes. Not only was arriving at the right answer important, but also the process at which the right answer was found. This turned math upside down for me - it was suddenly a game, a game with which logic was at the forefront and argumentation was key. After all, what's the purpose of a right answer if you can't convincingly defend it? In 2013, I graduated undergrad with a Bachelors of Science in Mathematics, with a thesis on the combinatorial topic of Ramsey Theory. I figured, "Why quit a good thing?", and so onward I went to graduate school at The Ohio State University.
The idea of picking an area of math to focus on for my PhD was more intimidating than I could have ever imagined. "Lions, and tigers, and bears, oh my?"... more like, "Abstract Algebra, and Geometry, Topology, and Differential Equations, and 20+ other areas, oh my!" With my previous experience in Combinatorics, coupled with the idea that I wanted to go into industry after graduation, I settled on Random Matrix Theory - an area that lies within the intersection of Probability, Statistics, and Combinatorics. My advisor, Dr. Hoi Nguyen, was at the forefront of the field and provided insight that was truly invaluable throughout the entire process. In laymen's terms, my focus was on some universality problems; I enjoyed looking at problems where results were known in specific settings, and extending them to more compicated settings. This would mean the result was universal. I think this is a valuable way of looking at things, and it - universality - appears in life more often than you'd expect. What culminated was a doctorate in mathematics and an appreciation for the immense amount of dedication that the PhD process entailed.
Enter Data Science
Toward the end of my graduate education, I decided I wanted to take up programming to supplement what I was seeing in school. After all, what better reality check is there for dealing with random matrices than actually writing out some code to generate the distributions and check how the eigenvectors are behaving? This started my road to data science. I quickly began to realize just how much I enjoy coding, and soon after I turned to modeling and analyzing datasets. I have, elsewhere on this page, a list of the many courses I've taken online to instill a solid foundation in data science. There is always more to learn, and I'm excited to learn it!


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WIDE AWAKE (director/writer: M. Night Shyamalan; cinematograper: Adam Holender; cast: Denis Leary (Beal), Dana Delany (Mrs. Beal), Robert Loggia (Grandpa Beal), Joseph Cross (Joshua Beal), Julia Stiles (Neena Beal), Rosie O'Donnell (Sister Terry) Timothy Reifsnyder (Dave O'Hara), Dan Lauria (Father Peters), 1998)
Reviewed by Dennis Schwartz
This well-conceived but ultra sugary coming-of-age film is not for everyone, and I include myself as one of those who found it too sappy for my digestion.
Joseph Cross (Joshua Beal) is a 10-year-old who is saddened by the recent loss of his grandfather (Loggia) to bone marrow cancer. Loggia is wonderful in relating to the child in such a wholesome manner, it almost saves this film from drowning in syrup. The Beals are like a sitcom idyllic family, where everyone is just so nice and affluent, and properly religious without being fanatical. The Beals, the father (Denis Leary) and his wife (Dana Delany), are both successful doctors; Julia Stiles plays Joshua's older sister, needling her younger brother but also showing that she really cares about him. This is a family seemingly conceived in heaven, but living in south Philadelphia, sending their children to a well-run Catholic school. Joshua, the protagonist and the narrator of this yarn, is a handsome, sweet, intelligent, friendly, and endearing child, who does well in school, relates to the nuns and priests, and talks politely to his well-meaning parents. All this mawkish interplay makes it almost too nauseating to watch.
The plot arises when Joseph has a problem coping with the death of his beloved grandfather, who promised to be with him forever. His answer is to search for God, pretty heady stuff for a youngster his age to do, but that's just the way it is, sometimes.
This search for God takes us nowhere because, as his friend David (Reifsnyder) says, where can you look for him if he doesn't exist. Now, that's a smart kid. But Joseph looks for him in the usual places, and what better place than to start in the parochial school he attends. One of his teachers is the kind-hearted Sister Terry (Rosie O'Donnell), who wears a Philly baseball hat and equates the Jesus stories with baseball, making him the clean-up hitter, and in my opinion, if she wasn't a big TV star, would have a vocation as a parochial school teacher, she is that convincing. Throughout the film, she is saved from answering any tough (sic!) question about God by the bell, as it rings to end the class.
Nothing much happens in the search for God, there is no parody of the Catholic school; though a visiting cardinal is found by the boy not to be able to talk to God, but this is gentle stuff, no real criticism or search for God is attempted.  The film ends as this angel (!!!) tells him his grandfather is all right. His quest is ended, as apparently angels don't have wings and are approachable; and God, well, ... maybe that's for another film down the road. This part of the film was the final straw for me, I couldn't swallow any more goo.
As this film flopped commercially, his next one, The Sixth Sense, pared down the schmaltz and came up smelling like a rose. Though if you look through the cleverness of both scripts, this director is loaded with hokum, all he has learned how to do, is hide the hokum better. Well, God bless him, if he can do that. This is a nice family picture and there is room for it in Hollywood. It's just too bad that it had nothing relevent or even truthful to say about death, children in a parochial elementary school, or for that matter, about God. And that family of his, they're too good for words. Yet the film meant well and its benign message had its heart in the right place. For those who want to see something soft, without a bite to it, this is the one.
REVIEWED ON 8/22/99 GRADE: C-
Dennis Schwartz: "Ozus' World Movie Reviews"
http://www.sover.net/~ozus
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I first found tina when I was 19, in my Sophomore year of college.  I tried it, felt an unbelievable rush, and spent the rest of the day dancing and hanging out, smoking more and more until the half a gram was gone.
After this first experience, I wanted more. I made friends with people that I knew who did it, and they willingly provided. I always did it on the weekends, when I would go to parties over three hours from my apartment.  We would afterparty after we left the clubs until Sunday afternoon and come home, doing bumps anywhere we stopped to keep the high going. I usually wouldn't quit until late Sunday night, sometimes staying up through the night and going to class on Monday, still speeding. My roommates and I would sit up all night playing cards and passing the bowl around, not stopping until the morning when one of us had work or school.
I went on like this, smoking and snorting glass Friday night until Sunday night for about 8 months. Late Sunday nights I would begin to hallucinate, seeing shadows/people in the corners of my room, and fog in my bathroom. Thats when I knew it was time to lay down and go to bed, where I would lie for a couple hours before falling asleep for the first time in several days.
During this time, I lost about 20 pounds, my weight would fluctate, but being a small girl (about 130 normally) I was a sack of bones and pale skin by the time I came to my senses about what I was doing to myself. My boyfriend was abusive, and I would cover the bruises and go out without him, doing more and more glass to keep myself from thinking about what he would do when I came back. I started selling to support my habit, I had quit my job because it interfered with my habits and my boss always questioned my weight loss. I guess I justified it to myself that if I was doing it for free then I had no reason *not* to do it.
In March, I broke up with the abusive boyfriend and started dating my dealer. Then one night, after a night of hanging out at his house and partying I fainted due to fatigue and malnourishment. I woke up several hours later and drove home with a baggie tucked in my sock. I spent the entire next day smoking that last baggie.
When I was moving out of my old apartment, I threw away everything that had to so with glass. The happiest moment was throwing away the pipe, knowing that I wouldn't be able to go back and try to scrape a little last residue off of it.
I haven't done it in over a year.  I never should have started in the first place. Meth seemed like a good escape at the time, but looking back, I got myself into a hole that I still haven't fully recovered from.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


A great way to get introduced to AngularJS is to work through this tutorial, which walks you through the construction of an AngularJS web app. The app you will build is a catalog that displays a list of Android devices, lets you filter the list to see only devices that interest you, and then view details for any device.
Follow the tutorial to see how Angular makes browsers smarter — without the use of native extensions or plug-ins:
When you finish the tutorial you will be able to:
The tutorial guides you through the entire process of building a simple application, including writing and running unit and end-to-end tests. Experiments at the end of each step provide suggestions for you to learn more about AngularJS and the application you are building.
You can go through the whole tutorial in a couple of hours or you may want to spend a pleasant day really digging into it. If you're looking for a shorter introduction to AngularJS, check out the Getting Started document.
The rest of this page explains how you can set up your local machine for development. If you just want to read the tutorial then you can just go straight to the first step: Step 0 - Bootstrapping.
You can follow along with this tutorial and hack on the code in the comfort of your own computer. In this way you can get hands-on practice of really writing AngularJS code and also on using the recommended testing tools.
The tutorial relies on the use of the Git versioning system for source code management. You don't need to know anything about Git to follow the tutorial other than how to install and run a few git commands.
You can download and install Git from http://git-scm.com/download. Once installed you should have
access to the git
command line tool. The main commands that you will need to use are:
git clone ...
: clone a remote repository onto your local machinegit checkout ...
: check out a particular branch or a tagged version of the code to hack onClone the angular-phonecat repository located at GitHub by running the following command:
git clone --depth=14 https://github.com/angular/angular-phonecat.git
This command creates the angular-phonecat
directory in your current directory.
--depth=14
option just tells Git to pull down only the last 14 commits. This makes the
download much smaller and faster.
Change your current directory to angular-phonecat
.
cd angular-phonecat
The tutorial instructions, from now on, assume you are running all commands from the
angular-phonecat
directory.
If you want to run the preconfigured local web-server and the test tools then you will also need Node.js v0.10.27+.
You can download a Node.js installer for your operating system from http://nodejs.org/download/.
Check the version of Node.js that you have installed by running the following command:
node --version
In Debian based distributions, there is a name clash with another utility called node
. The
suggested solution is to also install the nodejs-legacy
apt package, which renames node
to
nodejs
.
apt-get install nodejs-legacy npm
nodejs --version
npm --version
Once you have Node.js installed on your machine you can download the tool dependencies by running:
npm install
This command will download the following tools, into the node_modules
directory:
Running npm install
will also automatically use bower to download the Angular framework into the
app/bower_components
directory.
The project is preconfigured with a number of npm helper scripts to make it easy to run the common tasks that you will need while developing:
npm start
: start a local development web-servernpm test
: start the Karma unit test runnernpm run protractor
: run the Protractor end to end (E2E) testsnpm run update-webdriver
: install the drivers needed by ProtractorThe Bower, Http-Server, Karma and Protractor modules are also executables, which can be installed
globally and run directly from a terminal/command prompt. You don't need to do this to follow the
tutorial, but if you decide you do want to run them directly, you can install these modules globally
using, sudo npm install -g ...
.
For instance, to install the Bower command line executable you would do:
sudo npm install -g bower
(Omit the sudo if running on Windows)
Then you can run the bower tool directly, such as:
bower install
While Angular applications are purely client-side code, and it is possible to open them in a web browser directly from the file system, it is better to serve them from a HTTP web server. In particular, for security reasons, most modern browsers will not allow JavaScript to make server requests if the page is loaded directly from the file system.
The angular-phonecat project is configured with a simple static web server for hosting the application during development. Start the web server by running:
npm start
This will create a local webserver that is listening to port 8000 on your local machine. You can now browse to the application at:
http://localhost:8000/app/index.html
-a
to set the address and -p
to set the port.
We use unit tests to ensure that the JavaScript code in our application is operating correctly.
Unit tests focus on testing small isolated parts of the application. The unit tests are kept in the
test/unit
directory.
The angular-phonecat project is configured to use Karma to run the unit tests for the application. Start Karma by running:
npm test
This will start the Karma unit test runner. Karma will read the configuration file at
test/karma.conf.js
. This configuration file tells Karma to:
It is good to leave this running all the time, in the background, as it will give you immediate feedback about whether your changes pass the unit tests while you are working on the code.
We use End to End tests to ensure that the application as a whole operates as expected. End to End tests are designed to test the whole client side application, in particular that the views are displaying and behaving correctly. It does this by simulating real user interaction with the real application running in the browser.
The End to End tests are kept in the test/e2e
directory.
The angular-phonecat project is configured to use Protractor to run the End to End tests for the application. Protractor relies upon a set of drivers to allow it to interact with the browser. You can install these drivers by running:
npm run update-webdriver
(You should only need to do this once.)
Since Protractor works by interacting with a running application, we need to start our web server:
npm start
Then in a separate terminal/command line window, we can run the Protractor test scripts against the application by running:
npm run protractor
Protractor will read the configuration file at test/protractor-conf.js
. This configuration tells
Protractor to:
It is good to run the end to end tests whenever you make changes to the HTML views or want to check that the application as a whole is executing correctly. It is very common to run End to End tests before pushing a new commit of changes to a remote repository.


In the last year there has been a lot of talking about the smart city concept. Big vendors have come to offer their solutions to the governance and the municipalities. But the main aspect that always remains in the corner is that you can install all the magic sensors in the world, but i'ts not going to bring a real solution. They cost a lot and they don't really solve problems.
What does is knowledge...
With a few friends we started analyzing open data and Linked Open Data.
The first approach has a very liquid structure if it has a structure at all, while the second approache has a very structured approach (too structured, some times). So we thought the real deal was in the middle: A de-structured approach with some structural functionalities.
But what the real issue were the instruments.
Socrata in the USA has created the city portal for the open data, but every information is given separately. Not even the LOD approach connects the info. And the instuments offered by the Big Vendors are incredibly UGLY!!!
The only way to interact with local data is through a map.
What was a thing that enabled users to feel empathy with the city itself?
It was a Game: SimCity
So here comes VivaCity: A sim-city-esque interface for a complex data-model that fetches more or less real-time data from the remote data-providers and enables the user to "live" the data.
Vivacity is composed of three main parts:
PostDoc represents a meta-model engine for postgres. Optimizations are obviously due and will be made, but the ideal would obviously be using a nosql database, at least for the instances.
Semanticizer is the connector to the outer world. It enables a semantic translation between various types of files (at the moment csv and anything readable by OGR and then zipped) and the model described by PostDoc. Sometimes a translation needs more than just a renaming of columns. For that reason there is a small transformation language which enables the modification of a single value.
If the data is very de-structured, it could be necessary to connect the core of the information with elements that are a few logic steps away. For this reason it is possible to define semantic paths to create simple "model graphs" that the importer will respect and recreate in the system
Vivacity takes the SimCity experience on simulated worlds and brings the best of it to be used in a new open-data based approach. Every information is explorable, everything can be drilled-down/drilled-across.


Bitcoin (BTC) Price Weekly Forecast: More Downsides Likely
- After consolidating above $9,000, bitcoin declined heavily against the US Dollar.
- The price is currently trading in a bearish zone, with a close below $9,000 and $8,920.
- There was a break below a major contracting triangle with support near $9,180 on the 4-hours chart of the BTC/USD pair (data feed from Kraken).
- The price is currently showing bearish signs and it could decline further towards $8,560 or $8,300.
Bitcoin price is trading in a downtrend below $9,000 against the US Dollar. BTC remains at a risk of more downsides towards $8,300 in the near term.
Bitcoin Price Weekly Analysis (BTC)
In the past few days, bitcoin consolidated in a range above the $9,000 support against the US Dollar. However, the bulls failed to protect losses, resulting in a downside break below the key $9,000 support area.
Additionally, there was a break below the 50% Fib retracement level of the upward move from the $7,317 low to $10,578 high. More importantly, there was a break below a major contracting triangle with support near $9,180 on the 4-hours chart of the BTC/USD pair.
It opened the doors for more losses below the $8,920 support and the 100 simple moving average (4-hours). The decline was strong and bitcoin even settled below the $8,800 level.
At the moment, the price is consolidating below the $9,000 and $8,900 levels. An immediate support is near the $8,600 and $8,560 levels. Moreover, the 61.8% Fib retracement level of the upward move from the $7,317 low to $10,578 high is near the $8,560 level.
If there are more downsides, the price could slide towards the $8,330 and $8,300 support levels. The mentioned $8,300 area acted as a resistance earlier and now it is likely to provide support.
Any further losses may push the price towards the $8,080 support. It represents the 76.4% Fib retracement level of the upward move from the $7,317 low to $10,578 high.
On the upside, the recent support area near the $9,000 level could act as a resistance. Besides, the 100 simple moving average (4-hours) is a major hurdle near the $9,100 level. Therefore, a successful close above $9,100 is needed for more gains in the near term.
Looking at the chart, bitcoin price is clearly trading in a bearish zone below the $9,000 support and the 100 simple moving average (4-hours). Thus, there are high chances of more losses towards the $8,560 support or $8,300 pivot area.
Technical indicators
4 hours MACD – The MACD for BTC/USD is slowly losing pace in the bearish zone.
4 hours RSI (Relative Strength Index) – The RSI for BTC/USD is now well below the 40 level.
Major Support Level – $8,560
Major Resistance Level – $9,100


Intimidatetime is a wicked awesome date time picker for both jQuery and Zepto. It features high customization with low configuration. Features include date ranges, unix timestamps, timezones, date utility methods, and more.
The name itself is a play on words "intimidate" and "datetime". Merged together we get IntimiDateTime, since the only real way to wrestle with time is to intimidate time!
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Learn about basic setup, i18n, timezones, and storing dates and times in a database. eBook examples use jQueryUI Timepicker Addon, however the principles learned are the same.
buy eBook + Example code
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Intimidatetime is currently available for use in all personal or commercial projects under the MIT license.


This section introduces the usage of TensorSpace-Converter for different types of pre-trained model from
TensorFlow, Keras, TensorFlow.js.
flare
Convert Keras Models
TensorFlow
A pre-trained model built by TensorFlow can be saved as saved model, frozen model, combined HDF5 model or
separated HDF5 model. Use different TensorSpace-Converter commands for different kinds of TensorFlow model
formats. TensorSpace-Converter collects the data from tensor, then use
the outputs as the inputs of layer of TensorSpace visualization. The
developer can collect all necessary tensor names and set the name list as output_layer_names.
tf.keras model
For a combined HDF5 model, topology and weights are saved in a combined HDF5 file xxx.h5. Set input_model_format to be
tf_keras. The sample command script should be like:
$ tensorspacejs_converter \
--input_model_from="tensorflow" \
--input_model_format="tf_keras" \
--output_layer_names="layer1Name,layer2Name,layer3Name" \
./PATH/TO/MODEL/xxx.h5 \
./PATH/TO/SAVE/DIR
tf.keras (separated)
For a separated HDF5 model, topology and weights are saved in separate files, topology file xxx.json and weights file xxx.h5. Set
input_model_format to be tf_keras_separated. In this case, the model have two input files,
merge two file's paths and separate them with comma (.json first, .h5 last), and then set the combined path
to positional argument input_path. The sample command script should be
like:
$ tensorspacejs_converter \
--input_model_from="tensorflow" \
--input_model_format="tf_keras_separated" \
--output_layer_names="layer1Name,layer2Name,layer3Name" \
./PATH/TO/MODEL/xxx.json,./PATH/TO/MODEL/eee.h5 \
./PATH/TO/SAVE/DIR
frozen model
For a TensorFlow frozen model. Set input_model_format to be tf_frozen. The sample command script should be like:
$ tensorspacejs_converter \
--input_model_from="tensorflow" \
--input_model_format="tf_frozen" \
--output_layer_names="layer1Name,layer2Name,layer3Name" \
./PATH/TO/MODEL/xxx.pb \
./PATH/TO/SAVE/DIR
saved model
For a TensorFlow saved model. Set input_model_format to be tf_saved. The sample command script should be like:
$ tensorspacejs_converter \
--input_model_from="tensorflow" \
--input_model_format="tf_saved" \
--output_layer_names="layer1Name,layer2Name,layer3Name" \
./PATH/TO/SAVED/MODEL/FOLDER \
./PATH/TO/SAVE/DIR
Checkout this TensorFlow Preprocessing Tutorial for more practical
usage of TensorSpace-Converter for TensorFlow models.
Keras
A pre-trained model built by Keras, may have two formats: topology and weights are saved in a single HDF5
file, or topology and weights are saved in separated files. Use different TensorSpace-Converter commands for
these two saved Keras models.
Combined .h5
For a Keras model, topology and weights are saved in a single HDF5 file, i.e. xxx.h5.
Set input_model_format to be topology_weights_combined.
The sample command script should be like:
$ tensorspacejs_converter \
--input_model_from="keras" \
--input_model_format="topology_weights_combined" \
--output_layer_names="layer1Name,layer2Name,layer3Name" \
./PATH/TO/MODEL/xxx.h5 \
./PATH/TO/SAVE/DIR
Separated .json & .h5
For a Keras model, topology and weights are saved in separated files, i.e. a topology file xxx.json and a weights file xxx.h5.
Set input_model_format to be topology_weights_separated.
In this case, the model have two input files, merge two file's paths and separate them with comma (.json
first, .h5 last), and then set the combined path to positional argument input_path.
The sample command script should be like:
$ tensorspacejs_converter \
--input_model_from="keras" \
--input_model_format="topology_weights_separated" \
--output_layer_names="layer1Name,layer2Name,layer3Name" \
./PATH/TO/MODEL/xxx.json,./PATH/TO/MODEL/eee.h5 \
./PATH/TO/SAVE/DIR
Checkout this Keras Preprocessing Tutorial for more practical
usage of TensorSpace-Converter for Keras models.
TensorFlow.js
A pre-trained model built by TensorFlow.js, may have a topology file xxx.json and a weights file xxx.weight.bin. To converter the model with TensorSpace-Converter, the two
files should be put in the same folder and set topology file's path to input_path.
The sample command script should be like:
$ tensorspacejs_converter \
--input_model_from="tfjs" \
--output_layer_names="layer1Name,layer2Name,layer3Name" \
./PATH/TO/MODEL/xxx.json \
./PATH/TO/SAVE/DIR
Checkout this TensorFlow.js Preprocessing tutorial for more
practical usage of TensorSpace-Converter for TensorFlow.js models.


Nigeria's economy will improve soon - Lawan - The Nation Newspaper
From Damisi Ojo, Akure
Senate President, Ahmed Lawan, on Friday, assured that the state of economy of the country would soon improve as the National Assembly is working with the executive to move the country forward.
Lawan spoke on Friday, in Akure, the Ondo State capital, while paying a visit to the state governor, Rotimi Akeredolu, and the senator representing Ondo South, Nicholas Tofowomo, who was involved in a fatal road accident, few weeks ago.
He said, “All of us work together to give legislation to support of the federal government in order to perform and strengthen the country. We want to see the country improving in economy because this can’t be done without the support of the senate.”
Lawan assured that the senate is available to assist the state governor saying, “Anytime you need the support of the senate for anything, call on us, we will be available.”
“We also need the state government to participate in anything we do at the senate,” the senator added.
Responding, the Ondo State governor, Akeredolu, expressed appreciation on the senator’s visit and added that his government is ready to work with President Muhammadu Buhari to move the country forward.


{% extends "base-documentation.html" %} {% block documentation %}
Liftpass is designed for easy scaling. To this end all requests are stateless which allows for Liftpass to be trivially scaled up to multiple servers and grouped together via any off-the-shelf load balancer.
Liftpass is not as database intensive as it might seem. The serving of prices of mostly done in-memory and does not require looking up anything in the database on a per request basis. Liftpass has been tested on MySQL, PostgreSQL and Amazon's RDS and Redshift.
Here is how the ContentDatabase['address']
variable in the config.py
file should be tweaked to work on various kinds of databases:
The actual Liftpass API server is designed to be easily cloned from a single instance to several hundred - with no additional configuration. When scaling the API server it is advised that the analytics data sent back from the SDK be stored in a central location such as in Amazon's S3 or NAS solution. By having the analytics data stored in a central location, processing can happen from a single node.
Liftpass's API server natively runs in WSGI configuration which makes it easy to interface with load balancers.
Both the analytics data as well as the dashboard terminal require the storage of files. Except for the single node configuration, Liftpass should be configured to store any files in some kind of distributed filesystem such as Amazon's S3 or a NAS solution.
Both the DashboardTerminal['engine'] and AnalyticsStorage['engine'] can be configured to run and store files in different kinds of file storage. Here are the ways to configure alternative storage engines:


Example of the
Dart API for Chart.js
Line Chart
Bar Chart
Radar Chart
Polar Chart
Pie Chart
Doughnut Chart


Thoughca1185.github.io
View and Download Fermax VEO XS DUOX quick start manual online. MONITOR WITH MEMORY. VEO XS DUOX Intercom System pdf manual download. View and Download Fermax VEO DUOX quick start manual online. MONITOR WITH MEMORY. VEO DUOX Intercom System pdf manual download. Fermax Vds Video Cityline Kit 1-2 L Schnellstartanleitung. FERMAX VEO DUOX QUICK START MANUAL Pdf Download. FERMAX VEO XS DUOX QUICK START MANUAL Pdf Download.


Useful libraries for building a Java based GUI under R are provided.
| Version: | 1.0-6 |
| Depends: | R (≥ 2.8.0) |
| Suggests: | rJava, knitr |
| Published: | 2018-07-09 |
| Author: | Kornelius Rohmeyer (R package), see COPYRIGHTS file for the authors of the java libraries |
| Maintainer: | Kornelius Rohmeyer <rohmeyer at small-projects.de> |
| License: | GPL-2 |
| Copyright: | See COPYRIGHTS file CommonJavaJars copyright details |
| URL: | http://gsrmtp.r-forge.r-project.org/ |
| NeedsCompilation: | no |
| SystemRequirements: | Java (>= 5.0) |
| CRAN checks: | CommonJavaJars results |
| Reference manual: | CommonJavaJars.pdf |
| Vignettes: |
A package with useful libraries for Java GUIs |
| Package source: | CommonJavaJars_1.0-6.tar.gz |
| Windows binaries: | r-devel: CommonJavaJars_1.0-6.zip, r-release: CommonJavaJars_1.0-6.zip, r-oldrel: CommonJavaJars_1.0-6.zip |
| OS X binaries: | r-release: CommonJavaJars_1.0-6.tgz, r-oldrel: CommonJavaJars_1.0-6.tgz |
| Old sources: | CommonJavaJars archive |
| Reverse depends: | Crossover |
| Reverse imports: | gMCP, mutossGUI |
Please use the canonical form https://CRAN.R-project.org/package=CommonJavaJars to link to this page.


{% extends "base.html" %} {% block content %} {% if keys.rows|length > 0 %} {% else %}
NOTE: Machinaris will never display your private key here.
However, you may view it yourself by executing this from within the Docker container.
chia keys show --show-mnemonic-seed


Noise level sensor in the Swan Bar
Together with Caper I have also been working on a small art project for the RSC. We’ve been interested in working with the building itself. Visitors tend to come to Stratford-upon-Avon for the evening, enjoy the performance, perhaps some food and drinks, and head back, often on the next day. As well as the audience, there are also people working front of house, behind the bar, not to mention the three different acting troupes working on stage.
We wanted to explore the building as a whole, the total sum of effort and action that makes experiencing the performance possible; some of it behind the scenes. To do that, we wanted to put together an app that would analyse, visualise and display activity in the building as it happens.
But how do you measure activity? You could look at the amount of stuff made, amount of waste generated, or resources used up, but to measure life you have to measure its symptoms, like noise and movement. We wanted to put sensors in the theatre to make the often invisible efforts plain to see. To be able to say: at noon on Wednesdays the wardrobe rooms get very busy; that here is a sudden burst of activity backstage on Thursday morning when the set gets installed; that the bar is actually busiest on Monday nights.
I have prototyped two types of devices: motion and sound sensors. Both use Arduino Ethernet boards to send data to Cosm, which I am using both to make the feeds publicly accessible, and to set up triggers that will communicate with a web app built to analyse and visualise the data. I had thought of making my own Arduino-compatible boards to save money, but there simply wasn’t enough time to make that possible.
Motion sensor
The motion sensor devices are very straightforward: simply plug in an infrared motion detector in to start logging. The time it takes for the sensor to keep sending the signal about the detected movement can be adjusted. I add every positive reading to a counter, and send the total to Cosm every 30 seconds.
Sound sensors initially seemed trickier, though I only needed to measure the levels or determine that they are over a certain threshold. My first approach was to try and use piezos positioned on the floor or frequently used flat areas (such as the bar) to detect surface vibrations. Piezos are sensors that can detect pressure and vibration (and thus sound) and are often used as guitar pickups. I found it very difficult to amplify the piezo signal enough to turn it into a sensitive sensor over a large area though.
This is of course possible. Another member of the local hackspace, Jason Hotchkiss, has built exactly the kind of sensitive piezo sensor that I had been thinking about. He designed and built all the electronics that went into this musical ping pong table. I attempted to recreate Jason’s sensors, though I have used a completely different op-amp and my results didn’t come anywhere close.
Another approach I’ve tried was using an electret microphone with a cheap DIY amplifier I found on Alex Weber’s blog. This time I didn’t have the right transistor, and though I had some that apparently could be a substitute it still got me nowhere: readings were full of noise and their range wasn’t good enough. Though I have a huge range of completely random components lying around it turns out I don’t actually have much useful stuff.
As I waited for the right components to show up in the post, with the deadline fast approaching, I had to explore other options. A basic amplifier isn’t exactly very difficult, and the inability to actually get a working one made was making me very frustrated, but in the end I had to go for the off-the-shelf solution as I had to install the devices the very next day. I used Sparkfun’s electret mic with an amplifier on a breakout board, ready to simply plug in and play. Not only I am embarrassed at my failure to prototype something basic, but also at the fact that I am using components that are probably 8-10x more expensive than strictly necessary.
First sensor readings coming in
But hey, the devices worked and that’s what matters, right? I’ve laser cut some dashing boxes to protect them, ready for the installation in situ. Motion ones were placed near Stage Door and in the Wigs & Wardrobe department, sound ones in the Green Room and in Swan Bar.
Something I didn’t think about when prototyping the devices was giving them some way of communicating with their surroundings, namely reporting that they are connected and everything is fine, or that there is an error of some kind and they would need to be reset. The switch that allows resetting them would also be great to have on the outside of the box.
Another thing that I have only seriously considered while installing the devices was communicating what they do to people working at the theatre. I think I would have appreciated more time spent on location talking to people about the project, especially the fact that these aren’t cameras or recording devices - it’s impossible to know this just by glancing at them. It would have been impossible to speak to the entire 700 strong team though, so we’ve put up notes explaining a little bit about the project and displaying some sample data from Cosm. There must be a better approach to communicating their purpose and how they work though.
The sensors have been collecting data for nearly two weeks now. I’ve built a sample Rails app that is dealing with the interpretation of the readings, which need to be analysed and calibrated before going live.
You can see the data for yourself on Cosm (formerly Pachube). I encourage you to pull it and do something interesting with it. I’d be very interested to see what else it can be used for.


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Shipwreck
Build
Farm
Mill
Forester
Woodcutter
Sawmill
Demolish
Deforest
0/4 ships
New Game
Save
Load
Debug
Reload Constants


November 5, 1955
Student at Davidson College
November 7, 1985
September 19, 1985
January 19, 1990
March 19, 1967


The 'ggplot2' package is excellent and flexible for elegant data
visualization in R. However the default generated plots requires some formatting
before we can send them for publication. Furthermore, to customize a 'ggplot',
the syntax is opaque and this raises the level of difficulty for researchers
with no advanced R programming skills. 'ggpubr' provides some easy-to-use
functions for creating and customizing 'ggplot2'- based publication ready plots.
| Version: |
0.2 |
| Depends: |
R (≥ 3.1.0), ggplot2, magrittr |
| Imports: |
ggrepel, grid, ggsci, stats, utils, tidyr, purrr, dplyr (≥
0.7.1), cowplot, ggsignif, scales, gridExtra, glue, polynom |
| Suggests: |
grDevices, knitr, RColorBrewer, gtable |
| Published: |
2018-11-15 |
| Author: |
Alboukadel Kassambara [aut, cre] |
| Maintainer: |
Alboukadel Kassambara <alboukadel.kassambara at gmail.com> |
| BugReports: |
https://github.com/kassambara/ggpubr/issues |
| License: |
GPL-2 |
| URL: |
http://www.sthda.com/english/rpkgs/ggpubr |
| NeedsCompilation: |
no |
| Materials: |
README NEWS |
| CRAN checks: |
ggpubr results |