10.10 Putting It All Together
As you probably realize by now, Squid has many different ways to
decide how and where requests are forwarded. In many cases, you can
employ more than one protocol or technique at a time. Just by looking
at the configuration file, however, you'd probably
have a hard time figuring out how Squid uses the different techniques
in combination. In this section I'll explain how
Squid actually makes the forwarding decision.
Obviously, it all starts with a cache miss. Any request that is
satisfied as an unvalidated cache hit doesn't go
through the following sequence of events.
The goal of the selection procedure is to create a list of
appropriate next-hop locations. A next-hop location may be a neighbor
cache or the origin server. Depending on your configuration, Squid
may select up to three possible next-hops. If the request
can't be satisfied by the first, Squid tries the
second, and so on.
10.10.1 Step 1: Determine Direct Options
The first step is to determine if the request may, must, or must not be
sent directly to the origin server. Squid evaluates the
never_direct and
always_direct access rule lists for the request.
The goal is to set a flag to one of three values: DIRECT_YES,
DIRECT_MAYBE, or DIRECT_NO. This flag later determines whether Squid
should, or should not, try to select a neighbor cache for the
request. Squid checks the following conditions in order. If any
condition is true, it sets the direct flag and proceeds to the next
step. If you're following along in the source code,
this step corresponds to the beginning of the
peerSelectFoo( ) function:
Squid looks at the always_direct list first. If
the request matches this list, the direct flag is set to DIRECT_YES. Squid looks at the never_direct list next. If
the request matches this list, the direct flag is set to DIRECT_NO. Squid has a special check for requests that appear to be looping.
When Squid detects a forwarding loop, it sets the direct flag to
DIRECT_YES to break the loop. Squid checks the minimum_direct_hops and
minimum_direct_rtt settings, but only if
you've enabled netdb. If the
measured hop count or round-trip time is lower than the configured
values, Squid sets the direct flag to DIRECT_YES. If none of the previous conditions are true, Squid sets the direct
flag to DIRECT_MAYBE.
If the direct flag is set to DIRECT_YES, the selection process is
complete. Squid forwards the request directly to the origin server
and skips the remaining steps in this section.
10.10.2 Step 2: Neighbor Selection Protocols
Here Squid uses one of the hierarchical protocols to select a
neighbor cache. As before, once Squid selects a neighbor in this
step, it exits the routine and proceeds to Step 3. This step roughly
corresponds to the peerGetSomeNeighbor( )
function:
Squid examines the neighbor's Cache Digests. If it
indicates a hit, that neighbor is placed on the next-hop list. Squid tries CARP if enabled. CARP always succeeds (i.e., selects a
parent), unless the cache_peer_access or
cache_peer_domain rules forbid communication
with any of the parent caches for a particular request. Squid checks netdb measurements (if enabled) for
a "closest parent." If Squid knows
that the round-trip time from one or more parents to the origin
server is less than its own RTT to the origin server, Squid selects
the parent with the least RTT. For this to happen, the following
conditions must be met: Both your Squid and the parent cache(s) must have enabled
netdb measurements. query_icmp must be enabled in your configuration
file. The origin server must respond to ICMP pings. The parent(s) must have previously measured the RTT to the origin
server and returned those measurements in ICP/HTCP replies, or
through a netdb exchange.
Squid sends ICP/HTCP queries as the last resort. Squid loops through
all neighbors and checks a number of conditions. Squid
doesn't query a neighbor if: The direct flag is DIRECT_MAYBE and the request is nonhierarchical
(see Section 10.4.5).
Because Squid is allowed to go directly to the origin server, it
doesn't bother the neighbor with this request, which
is likely to be uncachable. The direct flag is DIRECT_NO, the neighbor is a sibling, and the
request is nonhierarchical. Because Squid is forced to use a
neighbor, it only queries parents, which can always handle a cache
miss. The cache_peer_access or
cache_peer_domain rules forbid sending this
request to the neighbor. The neighbor's no-query flag is
set, or its ICP/HTCP port number is zero. The neighbor is a multicast responder.
Squid counts how many queries it sends and calculates how many
replies to expect. If it expects at least one reply, the rest of the
next-hop selection procedure is postponed until the replies arrive,
or a timeout occurs. Squid expects to receive replies from neighbors
that are alive, but not neighbors that are dead (see
Section 10.3.2).
10.10.3 Step 2a: ICP/HTCP Reply Processing
If Squid sends out any ICP or HTCP queries, it
waits for some number of replies.
Just after transmitting the queries, Squid knows how many replies to
expect and the maximum amount of time to wait for them. Squid expects
a reply from every alive neighbor queried. If you're
using multicast, Squid adds the current group size estimate to the
expected reply count. While waiting for replies, Squid schedules a
timeout, in case one or more of the replies don't
arrive.
When Squid receives an ICP/HTCP reply from a neighbor, it takes the
following actions:
If the reply is a hit, Squid forwards the request to that neighbor
immediately. Any replies arriving after this point are ignored. If the reply is a miss, and it is from a sibling, it is ignored. Squid doesn't immediately act on ICP/HTCP misses
from parents. Instead, it remembers which parents meet the following
criteria:
- The closest-parent miss
-
If the reply includes a netdb RTT measurement,
Squid remembers the parent that has the least RTT to the origin
server.
- The first-parent miss
-
Squid remembers the parent that had the first reply. In other words,
the parent with least RTT to your cache. Two
cache_peer options affect this part of the
algorithm: weight=N and
closest-only.
The weight=N option
makes a parent closer than it really is. When calculating RTTs, Squid
divides the actual RTT by this artificial weight. Thus you can give
higher preference to certain parents by increasing their weight
value.
The closest-only option disables the first-parent
miss feature for a neighbor cache. In other words, Squid selects a
parent (based on ICP/HTCP miss replies) only if that parent is the
closest to the origin server.
If Squid receives the expected number of replies (all misses), or if
the timeout occurs, it selects the closest-parent miss neighbor if
set. Otherwise, it selects the first-parent miss neighbor if set.
Squid may not receive any ICP/HTCP replies from parent caches, either
because they weren't queried or because the network
dropped some packets. In this case, Squid relies on the secondary
parent (or direct) selection algorithm described in the next section.
If the ICP/HTCP query timeout occurs before receiving the expected
number of replies, Squid prepends the string
TIMEOUT_ to the result code in
access.log.
10.10.4 Step 3: Secondary Parent Selection
This step is a little tricky. Remember that if the direct flag is
DIRECT_YES, Squid never executes this step. If the flag is DIRECT_NO,
Squid calls the getSomeParent( ) function
(described subsequently) to select a backup parent, in case Step
2 failed to select one. Following that, Squid adds to the list all
parents it believes are alive. Thus, it tries all possible parent
caches before returning an error message to the user.
In the case of DIRECT_MAYBE, Squid adds both a parent cache, and the
origin server. The order, however, depends on the
prefer_direct setting. If
prefer_direct is enabled, Squid inserts the
origin server into the list first. Next, Squid calls
getSomeParent( ) if the request is hierarchical
or if the nonhierarchical_direct directive is
disabled. Finally, Squid adds the origin server last if
prefer_direct is disabled.
The getSomeParent( ) function selects one of the
parents based on the following criteria. In each case, the parent
must be alive and allowed to handle the request according to the
cache_peer_access and
cache_peer_domain rules:
The first parent with the default
cache_peer option The parent with the round-robin
cache_peer option that has the lowest request
count The first parent that is known to be alive
10.10.5 Retrying
Occasionally, Squid's attempt to
forward a request to an origin server
or neighbor may fail for one reason or another. This is why Squid
creates a list of appropriate next-hop locations during the neighbor
selection procedure. When one of the following types of errors
occurs, Squid can retry the request at the next server in the list:
Network congestion or other errors can cause a
"connection timeout." The origin server or neighbor cache may be temporarily unavailable,
causing a "connection refused"
error. A sibling may return a 504 (Gateway Timeout) error if the request
would cause a cache miss. A neighbor may return an "access
denied" error message if the two caches have a
mismatch in access control policies. A read error may occur on an established connection before Squid
reads the HTTP message body. There may be race conditions with persistent connections.
Squid's algorithm for retrying failed requests is
relatively aggressive. It is better for Squid to keep trying (causing
some extra delay), rather than return an error to the user.
|


28
1 The wicked flee when no one pursues,
but the righteous are bold as a lion.
2 When a land transgresses, it has many rulers,
but with a man of understanding and knowledge,
its stability will long continue.
3 A poor man who oppresses the poor
is a beating rain that leaves no food.
4 Those who forsake the law praise the wicked,
but those who keep the law strive against them.
5 Evil men do not understand justice,
but those who seek the LORD understand it completely.
6 Better is a poor man who walks in his integrity
than a rich man who is crooked in his ways.
7 The one who keeps the law is a son with understanding,
but a companion of gluttons shames his father.
8 Whoever multiplies his wealth by interest and profit
gathers it for him who is generous to the poor.
9 If one turns away his ear from hearing the law,
even his prayer is an abomination.
10 Whoever misleads the upright into an evil way
will fall into his own pit,
but the blameless will have a goodly inheritance.
11 A rich man is wise in his own eyes,
but a poor man who has understanding will find him out.
12 When the righteous triumph, there is great glory,
but when the wicked rise, people hide themselves.
13 Whoever conceals his transgressions will not prosper,
but he who confesses and forsakes them will obtain mercy.
14 Blessed is the one who fears the LORD always,
but whoever hardens his heart will fall into calamity.
15 Like a roaring lion or a charging bear
is a wicked ruler over a poor people.
16 A ruler who lacks understanding is a cruel oppressor,
but he who hates unjust gain will prolong his days.
17 If one is burdened with the blood of another,
he will be a fugitive until death;
let no one help him.
18 Whoever walks in integrity will be delivered,
but he who is crooked in his ways will suddenly fall.
19 Whoever works his land will have plenty of bread,
but he who follows worthless pursuits will have plenty of poverty.
20 A faithful man will abound with blessings,
but whoever hastens to be rich will not go unpunished.
21 To show partiality is not good,
but for a piece of bread a man will do wrong.
22 A stingy man hastens after wealth
and does not know that poverty will come upon him.
23 Whoever rebukes a man will afterward find more favor
than he who flatters with his tongue.
24 Whoever robs his father or his mother
and says, “That is no transgression,”
is a companion to a man who destroys.
25 A greedy man stirs up strife,
but the one who trusts in the LORD will be enriched.
26 Whoever trusts in his own mind is a fool,
but he who walks in wisdom will be delivered.
27 Whoever gives to the poor will not want,
but he who hides his eyes will get many a curse.
28 When the wicked rise, people hide themselves,
but when they perish, the righteous increase.


1.3 Second order stationarity
The example below corresponds to examples 1.9 and 1.10 from Shumway and Stoffer. It shows how to create MA and AR series based on white noise using the filter
function. It is best practice when simulating autoregressive models to burn-in (discard) the first few iterations to remove the dependencies on the starting values (here zeros). Note that the function filter
returns a ts
object.
set.seed(1)
x <- rnorm(550, 0, 1) # Samples from N(0,1) variates
y <- filter(x, method = "recursive", filter = c(1, -0.9)) #autoregression
z <- filter(x, method = "convolution", filter = rep(1/3, 3), sides = 2) # moving average
class(z)
[1] "ts"
x <- x[-c(1:49, 550)]
y <- y[-c(1:49, 550)]
z <- z[-c(1:49, 550)]
# ts.union if we did not remove values (and the class `ts`)
plot.ts(cbind(x, y, z), main = "Simulated time series")
We notice immediately that the MA process looks smoother than the white noise, and that the innovations (peaks) of the AR process are longer lasting.
If we had not simulated more values and kept some, the first and last observations of \(z\) would be NA
s.
The series created are of the form
\[ z_t=\frac{1}{3}(x_{t-1}+x_{t}+x_{t+1})\]
and
\[ y_t= y_{t-1}-0.9y_{t-2}+x_t.\]
The correlogram provides an easy to use summary for detecting linear dependencies based on correlations. The function acf
will return a plot of the correlogram, by default using the correlation. Unfortunately, the basic graph starts at lag 1, which by default has correlation 1 and thus compress the whole plot unnecessarily. Blue dashed lines indicate 5% critical values at \(\pm 1.96/\sqrt{n}\) under the null hypothesis of white noise (not stationarity).
The function acf
computes and plots \(c_t\) and \(r_t\), the estimators for the autocovariance and autocorrelation functions
\[c_t= n^{-1}\sum_{s=\max(1,-t)}^{\min(n-t,n)}[X_{s+t}-\bar X][X_s-\bar X], \quad r_t={c_t}/{c_0}.\]
The argument type
controls which is used and defaults to the correlation. This is easily extended to several time series observed over the same interval
\[c_{ij}(t) = n^{-1}\sum_{s=\max(1,-t)}^{\min(n-t,n)}[X_i(s+t)-\bar X_i][X_j(s)-\bar X_j].\]
Unfortunately, the function acf
always display the zero-lag autocorrelation, which is 1 by definition. This oftentimes squeezes
the whole correlogram values and requires manual adjustment so one can properly view whether the sample autocorrelations are significant.
# acf(x, lag.max=20, demean = TRUE, main = 'White noise') #WRONG
par(mfrow = c(1, 2))
TSA::acf(x, demean = TRUE, main = "White noise")
pacf(x, lag.max = 20, main = "White noise")
# Equivalent functions from forecast
forecast::Acf(y, main = "Autoregressive process")
forecast::Acf(y, type = "partial", main = "Autoregressive process") #or forecast::Pacf
You can thus use instead the function forecast::Acf
, which removes the first lag of the autocorrelation function plot, or TSA::acf
. The function pacf
return the partial autocorrelations and the function ccf
to compute the cross-correlation or cross-covariance of two univariate series
# Load datasets
data(deaths, package = "MASS")
data(lh, package = "datasets")
# Second order summaries
forecast::Acf(lh, main = "Correlogram of \nLuteinizing Hormone", ylab = "Autocorrelation") #autocorrelation
acf(lh, type = "covariance", main = "Autocovariance of\n Luteinizing Hormone") #autocovariance
acf(deaths, main = "Correlogram of\n`deaths` dataset")
ccf(fdeaths, mdeaths, ylab = "cross-correlation", main = "Cross correlation of `deaths` \nfemale vs male")
# acf(ts.union(mdeaths,fdeaths)) # acf and ccf - multiple time series of
# male and female deaths
The plots of the deaths
series shows the pattern of seasonal series, and the autocorrelations do not damp down for large lags. Note how one of the cross series is only plotted for negative lags. Plot in row 2 column 1 shows \(c_{12}\) for negative lags, a reflection of the plot of \(c_{21}\) for positive lags. For the cross-correlation, use e.g. ccf(mdeaths, fdeaths, ylab="cross-correlation")
.
Plotting lagged residuals is a useful graphical diagnostic for detecting non-linear dependencies. The following function plots residuals at \(k\) different lags and may be useful for diagnostic purposes.
pairs.ts <- function(d, lag.max = 10) {
old_par <- par(no.readonly = TRUE)
n <- length(d)
X <- matrix(NA, n - lag.max, lag.max)
col.names <- paste("Time+", 1:lag.max)
for (i in 1:lag.max) X[, i] <- d[i - 1 + 1:(n - lag.max)]
par(mfrow = c(3, 3), pty = "s", mar = c(3, 4, 0.5, 0.5))
lims <- range(X)
for (i in 2:lag.max) plot(X[, 1], X[, i], panel.first = {
abline(0, 1, col = "grey")
}, xlab = "Time", ylab = col.names[i - 1], xlim = lims, ylim = lims, pch = 20,
col = rgb(0, 0, 0, 0.25))
par(old_par)
}
# Look at lag k residuals
pairs.ts(sunspots)
1.3.1 Exercise 2: SP500 daily returns
- Download the dataset using the following command
sp500 <- tseries::get.hist.quote(instrument = "^GSPC", start = "2000-01-01",
end = "2016-12-31", quote = "AdjClose", provider = "yahoo", origin = "1970-01-01",
compression = "d", retclass = "zoo")
- Obtain the daily percent return series and plot the latter against time.
- With the help of graphs, discuss evidences of seasonality and nonstationarity. Are there seasons of returns?
- Plot the (partial) correlogram of both the raw and the return series. Try the acf with
na.action=na.pass
and without (by e.g. converting the series to a vector usingas.vector
. Comment on the impact of ignoring time stamps. - Plot the (partial) correlogram of the absolute value of the return series and of the squared return series. What do you see?


| I l@ve RuBoard |
| PyHANDLE |
A PyHANDLE object represents a Win32 handle. When a PyHANDLE object is no longer referenced, the Win32 handle is automatically closed. Thus, it isn't strictly necessary (although still considered good style) to explicitly close these handles.
There are a number of variations on a PyHANDLE object, such as the PyHKEY object. These handle objects are identical in operation to a standard PyHANDLE object, but the underlying implementation uses different Win32 functions to close the handle automatically. From the Python programmers point of view, these handles all share the same interface.
Handles are obtained from a number of Win32 functions, such as functions that open or create files or registry keys. When a function requires a PyHANDLE object, it usually also accepts an integer, which is expected to be the raw Win32 handle value.
Returns the raw Win32 handle value for this object. Thus, you can use the code int(myHandle) to obtain the Win32 handle value.
Manually closes the Win32 handle.
Returns the raw Win32 handle and detaches the handle from the PyHANDLE object. After making this call, the Win32 handle isn't closed automatically, and the PyHANDLE object has a Win32 handle value of zero (i.e., an invalid handle value).
The raw Win32 handle as an integer. Thus, myhandle.handle == int(myhandle).
| PyIID |
A PyIID object is used whenever a COM GUID is used. PyIID objects can be created using the pywintypes.IID() function, although all functions that accept a GUID also accept a string in the standard GUID format.
Obtains the string representation of a GUID. Thus, str(myiid) returns this string value.
Used when PyIID objects are compared. This ignores any case differences in the string representation.
There are no attributes.
| PySTARTUPINFO |
A PySTARTUPINFO represents a Win32 STARTUPINFO structure. It's created by the function win32process.STARTUPINFO(). Once created, you can assign values to the attributes, then pass the object to win32process.CreateProcess().
There are no methods.
A bit field that determines whether certain PySTARTUPINFO attributes are used when the process creates a window. To use many of the additional attributes, you set the appropriate mask in this attribute and also set the attributes themselves.
Any combination of the following values can be specified:
Indicates that the cursor is in feedback mode for two seconds after CreateProcess() is called. If during those two seconds the process makes the first GUI call, the system gives five more seconds to the process. If during those five seconds the process shows a window, the system gives five more seconds to the process to finish drawing the window.
Indicates that the feedback cursor is forced off while the process is starting. The normal cursor is displayed.
Indicates that the process should be run in full-screen mode, rather than in windowed mode. This flag is valid only for console applications running on an x86 computer.
If not specified, the dwXCountChars and dwYCountChars attributes are ignored.
If not specified, the dwFillAttribute attribute is ignored.
If not specified, the dwX and dwY attributes are ignored.
If this value isn't specified, the wShowWindow attribute is ignored.
If not specified, the dwXSize and dwYSize attributes are ignored.
Sets the standard input, standard output, and standard error handles for the process to the handles specified in the hStdInput, hStdOutput, and hStdError attributes. The CreateProcess() function's fInherit-Handles parameter must be set to true for this to work properly.
If this value isn't specified, the hStdInput, hStdOutput, and hStdError attributes are ignored.
An integer that specifies the x offset, in pixels, of the upper-left corner of a window if a new window is created. The offset is from the upper-left corner of the screen.
An integer that specifies the y offset, in pixels, of the upper-left corner of a window if a new window is created. The offset is from the upper-left corner of the screen.
An integer that specifies the width, in pixels, of the window if a new window is created.
An integer that specifies the height, in pixels, of the window if a new window is created.
For console processes, if a new console window is created, an integer that specifies the screen buffer width in character columns. This value is ignored in a GUI process.
For console processes, if a new console window is created, an integer that specifies the screen buffer height in character rows.
An integer that specifies the initial text and background colors if a new console window is created in a console application. These values are ignored in GUI applications.
A PyHANDLE object that is used as the standard input handle to the process.
A PyHANDLE object that is used as the standard output handle to the process.
A PyHANDLE object that is used as the standard error handle to the process.
May be None, or on Windows NT/2000, a string containing either the name of the desktop only or the name of both the desktop and window station for this process.
For console processes, a string that contains the title displayed in the titlebar if a new console window is created. If None, the name of the executable file is used as the window title instead. This parameter must be None for GUI or console processes that don't create a new console window.
Can be any of the SW_ constants defined in win32con. For GUI processes, this specifies the default value the first time ShowWindow() is called.
| I l@ve RuBoard |


Conferences and Publications
Tasbir Singh et al "Analysis of Ant Colony Optimization Based Protocols in MANETs",
Published in International Journal of Advanced Research in Computer Science and Software
Engineering, Volume 4, pp 597-601, ISSN: 2277 128X, August 2014.
An abstract has been submitted a Review artical on "Social Networking sites ans security issues" in
national seminar on "Futuristic Approach to Ethical Hacking and Networking Security" and have also
present a paper in the national seminar.


All Publications and Preprints
Preprints
Behavioral Priors and Dynamics Models: Improving Performance and Domain Transfer in Offline RL
Catherine Cang, Aravind Rajeswaran, Pieter Abbeel, Michael Laskin
ArXiv Preprint 2021 | arXiv: 2106.09119 | Project Website
Published in 2021
Decision Transformer: Reinforcement Learning via Sequence Modeling
Lili Chen*, Kevin Lu*, Aravind Rajeswaran, Kimin Lee, Aditya Grover, Michael Laskin,
Pieter Abbeel, Aravind Srinivas, Igor Mordatch
Neural Information Processing Systems (NeurIPS) 2021 | Project Website
Visual Adversarial Imitation Learning using Variational Models
Rafael Rafailov, Tianhe Yu, Aravind Rajeswaran, Chelsea Finn
Neural Information Processing Systems (NeurIPS) 2021 | Project Webpage
COMBO: Conservative Offline Model-Based Policy Optimization
Tianhe Yu, Aviral Kumar, Rafael Rafailov, Aravind Rajeswaran, Sergey Levine, Chelsea Finn
Neural Information Processing Systems (NeurIPS) 2021 | arXiv: 2102.08363
Reinforcement Learning with Latent Flow
Wenling Shang, Xiaofei Wang, Aravind Srinivas, Aravind Rajeswaran, Yang Gao,
Pieter Abbeel, Michael Laskin
Neural Information Processing Systems (NeurIPS) 2021
Offline Reinforcement Learning from Images with Latent Space Models
Rafael Rafailov, Tianhe Yu, Aravind Rajeswaran, Chelsea Finn
Learning for Dynamics and Control (L4DC) 2021; (Oral Presentation!) Project Webpage
Published in 2020
MOReL : Model-Based Offline Reinforcement Learning
Rahul Kidambi, Aravind Rajeswaran, Praneeth Netrapalli, Thorsten Joachims
Neural Information Processing Systems (NeurIPS) 2020; Project Webpage
A Game Theoretic Framework for Model Based Reinforcement Learning
Aravind Rajeswaran, Igor Mordatch, Vikash Kumar
International Conference on Machine Learning (ICML) 2020; Project Webpage
Lyceum: An efficient and scalable ecosystem for robot learning
Colin Summers, Kendall Lowrey, Aravind Rajeswaran, Siddhartha Srinivasa, Emanuel Todorov
Learning for Dynamics and Control (L4DC) 2020; Project Webpage
Published in 2019
Meta Learning with Implicit Gradients
Aravind Rajeswaran, Chelsea Finn, Sham Kakade, Sergey Levine
Neural Information Processing Systems (NeurIPS) 2019; arXiv:1909.04630
Online Meta-Learning
Chelsea Finn, Aravind Rajeswaran, Sham Kakade, Sergey Levine
International Conference on Machine Learning (ICML) 2019; arXiv:1902.08438
Plan Online, Learn Offline: Efficient Learning and Exploration via Model-Based Control
Kendall Lowrey, Aravind Rajeswaran, Sham Kakade, Emanuel Todorov, Igor Mordatch
International Conference on Learning Representations (ICLR) 2019; arXiv:1811.01848
Dexterous Manipulation with Deep Reinforcement Learning: Efficient, General, and Low Cost
Henry Zhu, Abhishek Gupta, Aravind Rajeswaran, Sergey Levine, Vikash Kumar
International Conference on Robotics and Automation (ICRA) 2019; arXiv:1810.06045
Learning Deep Visuomotor Policies for Dexterous Hand Manipulation
Divye Jain, Andrew Li, Shivam Singhal, Aravind Rajeswaran, Vikash Kumar, Emanuel Todorov
International Conference on Robotics and Automation (ICRA) 2019; download PDF
Reinforcement learning for non-prehensile manipulation: Transfer from simulation to physical system
Kendall Lowrey, Svetsolav Kolev, Jeremy Dao, Aravind Rajeswaran, Emanuel Todorov
IEEE SIMPAR 2018; arXiv:1803.10371 (Best paper award!)
Variance Reduction for Policy Gradient Using Action-Dependent Factorized Baselines
Cathy Wu, Aravind Rajeswaran, Yan Duan, Vikash Kumar, Alexandre M Bayen,
Sham Kakade, Igor Mordatch, Pieter Abbeel
International Conference on Learning Representations (ICLR) 2018; arXiv:1803.07246
(Oral Presentation; top 2%)
Divide-and-Conquer Reinforcement Learning
Dibya Ghosh, Avi Singh, Aravind Rajeswaran, Vikash Kumar, Sergey Levine
International Conference on Learning Representations (ICLR) 2018; arXiv:1711.09874
Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations
Aravind Rajeswaran, Vikash Kumar, Abhishek Gupta, John Schulman, Emanuel Todorov, Sergey Levine
Robotics: Science and Systems (RSS) 2018; arxiv:1709.10087
Towards Generalization and Simplicity in Continuous Control
Aravind Rajeswaran, Kendall Lowrey, Emanuel Todorov, Sham Kakade
Neural Information Processing Systems (NIPS) 2017; arXiv:1703.02660
EPOpt: Learning Robust Neural Network Policies Using Model Ensembles
Aravind Rajeswaran, Sarvjeet Ghotra, Balaraman Ravindran, Sergey Levine
International Conference on Learning Representations (ICLR) 2017; arXiv:1610.01283
A Novel Approach for Phase Identification in Smart Grids Using Graph Theory and Principal Component Analysis
Satya Jayadev P, Aravind Rajeswaran, Nirav P Bhatt, Ramkrishna Pasumarthy
American Control Conference (ACC) 2016; arXiv:1511.06063
Identifying Topology of Power Distribution Networks Based on Smart Meter Data
Jayadev P Satya, Nirav Bhatt, Ramkrishna Pasumarthy, Aravind Rajeswaran
IEEE Transactions on Smart Grid 2017; arXiv:1609.02678
A Graph Partitioning Approach for Leak Detection in Water Distribution Networks
Aravind Rajeswaran, Sridharakumar Narasimhan, Shankar Narasimhan
Computers & Chemical Engineering (C&ChE) 2017; arXiv:1606.01754
|


Sometimes you gotta run before you can walk
I can do this all day
I am groot
That's my secret captain. I'm always angry
I'm Peter-Man ... I mean Spider-Parker ... Shit


filmcritic.com presents a review from staff member James Brundage. You can find the review with full credits at http://www.filmcritic.com/misc/emporium.nsf/2a460f93626cd4678625624c007f2b46/386ecdfa63236c958825684b000a144d?OpenDocument
Director Pedro Almodovar explains the relationship between tunnels and the main character of Manuela (Cecila Roth) in All About my Mother with the line: "Manuela runs away. She always runs away on a train, through endless tunnels."
Indeed, Manuela is always moving. With the untimely death of her son, Estoban, she moves to Barcelona to embark upon a search for Estoban's father. In Barcelona, she is constantly moving from one place to another, doing something or another for someone. Save a transsexual prostitute here (Antonio San Juan), help a pregnant nun there (Penelope Cruz). Help smooth out the turbulent lesbian relationship between two actresses (Marisa Paredes and Candela Pena) here, usher an older woman (Rosa Maria Sarda) into a great understanding of life there. She never stops.
It seems so odd, then, that the one thing that All About my Mother would have needed to be a really great film was a better pace.
All About My Mother is an interesting, somewhat surreal and oftentimes bizarre journey of self-discovery that comes during the search of Manuela for her transsexual ex-husband, Lola. Admittedly, it is one of more bizarre foreign films I have seen (although this is not a long list and Il Mostro was pretty trippy, too). However, All About My Mother does end up being an incredibly interesting film to watch.
Penned and directed by Pedro Almodovar, All About my Mother succeeds is doing several noteworthy things. The first of which is making critics laugh. I saw this at a Cleveland press-only screening with five other critics, and we all had at least a few moments where we unleashed our tongue to let loose a chuckle. The second of which is accomplishing what amounts to a nearly all-female cast. In the cast we have one supporting male, the boy who plays Estoban. The rest of the film is comprised of women, and thus it is like watching a Spanish version of the cafe scenes in "Sex and the City" for about an hour and three-quarters. The third and final thing is accomplishing a movie which deserves a second glance.
To fans of the surreal, who normally can handle subtitles, All About my Mother will be quite a treat. It is a film that is able to easily provide interesting imagery (a joint effort of the great directing on behalf Pedro Almodovar and the haunting photography of Affonso Beato), incredible dialogue, and at the same time make you ponder over it.
Despite these three major strengths, however, All About my Mother is lacking in one major element: pace. Certain movies can engage themselves upon thought alone. Others rely on action. Because All About my Mother has absolutely no action to it, it must rely entirely upon thought for pacing. The thought in All About my Mother is enough to fill perhaps a thirty-minute short. There is simply not enough pacing present to sustain this film.
All About my Mother has been voted the best foreign film of the year by several major critics circles. To say this about All About my Mother makes me wonder what the other foreign films were like this year. It's good. It gets a lukewarm recommendation. But its not that great.
Then again, that's the problem when you have to give a film points just for being foreign.
Aka Todo Sobre Mi Madre.
3.5 stars
-- Christopher Null -<EMAIL_ADDRESS>- http://www.filmcritic.com
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
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In this challenge, you will write an API that can be used to manage Cars stored in a Relational Database.
Follow these steps for starting your project.
<firstName-lastName>
.<firstName-lastName>
branch, committing changes regularly.<firstName-lastName>
.Follow these steps for completing your project.
<firstName-lastName>
Branch into master (student’s Repository). Please don’t merge your own pull requestknex migrations
, design and write a schema for the cars
table using the specifications below.knex
to connect to a /data/car-dealer.db3
database using the sqlite3
npm module.CREATE
and READ
operations on the cars
resource.The client for this API is a car dealer who has provided the following specs:
knex seeds
UPDATE
and DELETE
operations to your API.sales
table. This table should track information on the sale of each car. You may wish to research foreign keys
in order to link each sale to the entry in cars
which sold.


|
HumaBotics WiFiBlock Sensor
| #define HRWB_BATTLVL 0x000C |
Register for battery level in 0.1V
Definition at line 47 of file humarobotics-wifiblock.h.
| #define HRWB_GET_DATA 0x1048 |
Register for received data
Definition at line 90 of file humarobotics-wifiblock.h.
| #define HRWB_GET_IP_ADDR 0x1002 |
Register for IP address to send request to
Definition at line 87 of file humarobotics-wifiblock.h.
| #define HRWB_GET_LENGTH 0x1001 |
Register for received data length
Definition at line 86 of file humarobotics-wifiblock.h.
| #define HRWB_GET_PORT 0x1006 |
Register for port to send request to
Definition at line 88 of file humarobotics-wifiblock.h.
| #define HRWB_GET_STATUS 0x1000 |
Register for status of GET command - see HRWB_GET_STATUS_* for bit masks
Definition at line 85 of file humarobotics-wifiblock.h.
| #define HRWB_GET_STATUS_READY 0x01 |
Bit mask for GET port readiness status
Definition at line 92 of file humarobotics-wifiblock.h.
| #define HRWB_GET_STATUS_REQ_DONE 0x08 |
Bit mask for checking whether GET request is done
Definition at line 95 of file humarobotics-wifiblock.h.
| #define HRWB_GET_STATUS_REQ_ERROR 0x80 |
Bit mask for checking if an error has occurred
Definition at line 99 of file humarobotics-wifiblock.h.
| #define HRWB_GET_STATUS_RESERVED1 0x02 |
RESERVED
Definition at line 93 of file humarobotics-wifiblock.h.
| #define HRWB_GET_STATUS_RESERVED2 0x10 |
RESERVED
Definition at line 96 of file humarobotics-wifiblock.h.
| #define HRWB_GET_STATUS_RESERVED3 0x20 |
RESERVED
Definition at line 97 of file humarobotics-wifiblock.h.
| #define HRWB_GET_STATUS_RESERVED4 0x40 |
RESERVED
Definition at line 98 of file humarobotics-wifiblock.h.
| #define HRWB_GET_STATUS_SEND_REQ 0x04 |
Bit mask for sending the GET request
Definition at line 94 of file humarobotics-wifiblock.h.
| #define HRWB_GET_URL 0x1008 |
Register for URL (everything after the host name)
Definition at line 89 of file humarobotics-wifiblock.h.
| #define HRWB_HTTP_RESULT_CODE 0x001F |
Register for HTTP result code
Definition at line 49 of file humarobotics-wifiblock.h.
| #define HRWB_I2C_ADDR 0x20 |
WiFiBlock I2C address
Definition at line 42 of file humarobotics-wifiblock.h.
| #define HRWB_MASKED_WRITE 0x02 |
Command for a masked write
Definition at line 44 of file humarobotics-wifiblock.h.
| #define HRWB_POST_DATA 0x2048 |
Register for POST data
Definition at line 107 of file humarobotics-wifiblock.h.
| #define HRWB_POST_IP_ADDR 0x2002 |
Register for IP address to send request to
Definition at line 104 of file humarobotics-wifiblock.h.
| #define HRWB_POST_LENGTH 0x2001 |
Register for POST data length
Definition at line 103 of file humarobotics-wifiblock.h.
| #define HRWB_POST_PORT 0x2006 |
Register for port to send request to
Definition at line 105 of file humarobotics-wifiblock.h.
| #define HRWB_POST_STATUS 0x2000 |
Register for status of POST command - see HRWB_POST_STATUS_* for bit masks
Definition at line 102 of file humarobotics-wifiblock.h.
| #define HRWB_POST_STATUS_EN_FL_RTX 0x20 |
Bit mask to store POST requests in the DataFlash in case of network loss and then automatically retransmits them when the network is up again
Definition at line 114 of file humarobotics-wifiblock.h.
| #define HRWB_POST_STATUS_EN_FL_STO 0x10 |
Bit mask to store POST requests in the dataflash in case of network loss
Definition at line 113 of file humarobotics-wifiblock.h.
| #define HRWB_POST_STATUS_READY 0x01 |
Bit mask for POST port readiness status
Definition at line 109 of file humarobotics-wifiblock.h.
| #define HRWB_POST_STATUS_REQ_DONE 0x08 |
Bit mask for checking whether POST request is done
Definition at line 112 of file humarobotics-wifiblock.h.
| #define HRWB_POST_STATUS_REQ_ERROR 0x80 |
Bit mask for checking if an error has occurred
Definition at line 117 of file humarobotics-wifiblock.h.
| #define HRWB_POST_STATUS_RESERVED1 0x02 |
RESERVED
Definition at line 110 of file humarobotics-wifiblock.h.
| #define HRWB_POST_STATUS_RESERVED2 0x40 |
RESERVED
Definition at line 116 of file humarobotics-wifiblock.h.
| #define HRWB_POST_STATUS_SEND_REQ 0x04 |
Bit mask for sending the POST request
Definition at line 111 of file humarobotics-wifiblock.h.
| #define HRWB_POST_URL 0x2008 |
Register for URL (everything after the host name)
Definition at line 106 of file humarobotics-wifiblock.h.
| #define HRWB_RESET 0x000E |
Register to reset the WiFiblock
Definition at line 51 of file humarobotics-wifiblock.h.
| #define HRWB_RESET_ERRORCODE 0x01 |
Command to reset the error code WiFiblock
Definition at line 53 of file humarobotics-wifiblock.h.
| #define HRWB_RESET_WIFIBLOCK 0x00 |
Command to reset the WiFiblock
Definition at line 52 of file humarobotics-wifiblock.h.
| #define HRWB_SECURITY_OPEN 0x00 |
HRWB_WIFI_SECURITY_TYPE value for Open Network (no crypto)
Definition at line 79 of file humarobotics-wifiblock.h.
| #define HRWB_SECURITY_WEP 0x01 |
HRWB_WIFI_SECURITY_TYPE value for WEP crypto
Definition at line 80 of file humarobotics-wifiblock.h.
| #define HRWB_SECURITY_WPA 0x02 |
HRWB_WIFI_SECURITY_TYPE value for WPA
Definition at line 81 of file humarobotics-wifiblock.h.
| #define HRWB_SECURITY_WPA2 0x03 |
HRWB_WIFI_SECURITY_TYPE value for WPA2
Definition at line 82 of file humarobotics-wifiblock.h.
| #define HRWB_SENSORTYPE 0x0008 |
Register for Sensortype - WIFI
Definition at line 46 of file humarobotics-wifiblock.h.
| #define HRWB_SIMPLE_WRITE 0x01 |
Command for a simple write
Definition at line 43 of file humarobotics-wifiblock.h.
| #define HRWB_TCP_IP_ADDR 0x4001 |
Register for IP address to send request to
Definition at line 121 of file humarobotics-wifiblock.h.
| #define HRWB_TCP_PORT 0x4005 |
Register for port to send request to
Definition at line 122 of file humarobotics-wifiblock.h.
| #define HRWB_TCP_RX_DATA 0x4029 |
Register for received data
Definition at line 126 of file humarobotics-wifiblock.h.
| #define HRWB_TCP_RX_LENGTH 0x4028 |
Register for received data length
Definition at line 125 of file humarobotics-wifiblock.h.
| #define HRWB_TCP_STATUS 0x4000 |
Register for status of TCP command - see HRWB_TCP_STATUS_* for bit masks
Definition at line 120 of file humarobotics-wifiblock.h.
| #define HRWB_TCP_STATUS_READY 0x01 |
Bit mask for TCP port readiness status
Definition at line 128 of file humarobotics-wifiblock.h.
| #define HRWB_TCP_STATUS_REQ_DONE 0x04 |
Bit mask for checking whether TCP request is done
Definition at line 130 of file humarobotics-wifiblock.h.
| #define HRWB_TCP_STATUS_REQ_ERROR 0x80 |
Bit mask for checking if an error has occurred
Definition at line 135 of file humarobotics-wifiblock.h.
| #define HRWB_TCP_STATUS_RESERVED1 0x08 |
RESERVED
Definition at line 131 of file humarobotics-wifiblock.h.
| #define HRWB_TCP_STATUS_RESERVED2 0x10 |
RESERVED
Definition at line 132 of file humarobotics-wifiblock.h.
| #define HRWB_TCP_STATUS_RESERVED3 0x20 |
RESERVED
Definition at line 133 of file humarobotics-wifiblock.h.
| #define HRWB_TCP_STATUS_RESERVED4 0x40 |
RESERVED
Definition at line 134 of file humarobotics-wifiblock.h.
| #define HRWB_TCP_STATUS_SEND_REQ 0x02 |
Bit mask for sending the TCP request
Definition at line 129 of file humarobotics-wifiblock.h.
| #define HRWB_TCP_TX_DATA 0x4008 |
Register for tramsmitted data
Definition at line 124 of file humarobotics-wifiblock.h.
| #define HRWB_TCP_TX_LENGTH 0x4007 |
Register for tramsmitted data length
Definition at line 123 of file humarobotics-wifiblock.h.
| #define HRWB_UDP_DPORT 0x3005 |
Register for port to send request to
Definition at line 140 of file humarobotics-wifiblock.h.
| #define HRWB_UDP_IP_ADDR 0x3001 |
Register for IP address to send request to
Definition at line 139 of file humarobotics-wifiblock.h.
| #define HRWB_UDP_RX_DATA 0x302B |
Register for received data
Definition at line 145 of file humarobotics-wifiblock.h.
| #define HRWB_UDP_RX_LENGTH 0x302A |
Register for received data length
Definition at line 144 of file humarobotics-wifiblock.h.
| #define HRWB_UDP_SPORT 0x3007 |
Register for port to send request from
Definition at line 141 of file humarobotics-wifiblock.h.
| #define HRWB_UDP_STATUS 0x3000 |
Register for status of UDP command - see HRWB_UDP_STATUS_* for bit masks
Definition at line 138 of file humarobotics-wifiblock.h.
| #define HRWB_UDP_STATUS_READY 0x01 |
Bit mask for UDP port readiness status
Definition at line 147 of file humarobotics-wifiblock.h.
| #define HRWB_UDP_STATUS_REQ_DONE 0x04 |
Bit mask for checking whether UDP request is done
Definition at line 149 of file humarobotics-wifiblock.h.
| #define HRWB_UDP_STATUS_REQ_ERROR 0x80 |
Bit mask for checking if an error has occurred
Definition at line 154 of file humarobotics-wifiblock.h.
| #define HRWB_UDP_STATUS_RESERVED1 0x20 |
RESERVED
Definition at line 152 of file humarobotics-wifiblock.h.
| #define HRWB_UDP_STATUS_RESERVED2 0x40 |
RESERVED
Definition at line 153 of file humarobotics-wifiblock.h.
| #define HRWB_UDP_STATUS_RXD_RDY 0x08 |
Bit mask for checking whether UDP data is ready for reading
Definition at line 150 of file humarobotics-wifiblock.h.
| #define HRWB_UDP_STATUS_RXD_READ 0x10 |
Bit mask start reading UDP data
Definition at line 151 of file humarobotics-wifiblock.h.
| #define HRWB_UDP_STATUS_SEND_REQ 0x02 |
Bit mask for sending the UDP request
Definition at line 148 of file humarobotics-wifiblock.h.
| #define HRWB_UDP_TX_DATA 0x300A |
Register for tramsmitted data
Definition at line 143 of file humarobotics-wifiblock.h.
| #define HRWB_UDP_TX_LENGTH 0x3009 |
Register for tramsmitted data length
Definition at line 142 of file humarobotics-wifiblock.h.
| #define HRWB_WIFI_IP_ADDR 0x0222 |
Register for IPv4 address
Definition at line 59 of file humarobotics-wifiblock.h.
| #define HRWB_WIFI_IP_GATEWAY 0x022A |
Register for default gateway
Definition at line 61 of file humarobotics-wifiblock.h.
| #define HRWB_WIFI_IP_MASK 0x0226 |
Register for Netmask
Definition at line 60 of file humarobotics-wifiblock.h.
| #define HRWB_WIFI_SCANRESULT 0x026F |
Register for number of SSIDs found after a scan
Definition at line 64 of file humarobotics-wifiblock.h.
| #define HRWB_WIFI_SCANSEC 0x0272 |
Register for the security type of the specified SSID
Definition at line 67 of file humarobotics-wifiblock.h.
| #define HRWB_WIFI_SCANSEL 0x0270 |
Register for selecting the SSID to get more info on
Definition at line 65 of file humarobotics-wifiblock.h.
| #define HRWB_WIFI_SCANSIGNAL 0x0271 |
Register for the signal strength of the specified SSID
Definition at line 66 of file humarobotics-wifiblock.h.
| #define HRWB_WIFI_SCANSSID 0x0273 |
Register for specifying the SSID to scan
Definition at line 68 of file humarobotics-wifiblock.h.
| #define HRWB_WIFI_SECURITY_KEY 0x022F |
Register for WiFi key
Definition at line 63 of file humarobotics-wifiblock.h.
| #define HRWB_WIFI_SECURITY_TYPE 0x022E |
Register for WiFi security type - see HRWB_SECURITY_* for values
Definition at line 62 of file humarobotics-wifiblock.h.
| #define HRWB_WIFI_SIGNAL 0x0201 |
Register for signal strength
Definition at line 57 of file humarobotics-wifiblock.h.
| #define HRWB_WIFI_SSID 0x0202 |
Register for SSID
Definition at line 58 of file humarobotics-wifiblock.h.
| #define HRWB_WIFI_STATUS 0x0200 |
Register for WiFi Status - see HRWB_WIFI_STATUS_* for bit masks
Definition at line 56 of file humarobotics-wifiblock.h.
| #define HRWB_WIFI_STATUS_CONN_STAT 0x10 |
Bit mask for selecting status of the current WiFi connection
Definition at line 74 of file humarobotics-wifiblock.h.
| #define HRWB_WIFI_STATUS_DEL_CONF 0x80 |
Bit mask for selecting command to delete current configuration
Definition at line 77 of file humarobotics-wifiblock.h.
| #define HRWB_WIFI_STATUS_ENABLE 0x01 |
Bit mask for selecting WiFi status
Definition at line 70 of file humarobotics-wifiblock.h.
| #define HRWB_WIFI_STATUS_RECONN 0x40 |
Bit mask for selecting whether or not to reconnect when disconnected
Definition at line 76 of file humarobotics-wifiblock.h.
| #define HRWB_WIFI_STATUS_RESERVED 0x20 |
RESERVED
Definition at line 75 of file humarobotics-wifiblock.h.
| #define HRWB_WIFI_STATUS_SAVE_CONF 0x02 |
Bit mask for selecting command to save current configuration
Definition at line 71 of file humarobotics-wifiblock.h.
| #define HRWB_WIFI_STATUS_SCAN_DONE 0x08 |
Bit mask for selecting whether scan is done
Definition at line 73 of file humarobotics-wifiblock.h.
| #define HRWB_WIFI_STATUS_START_SCAN 0x04 |
Bit mask for selecting command to start scanning network
Definition at line 72 of file humarobotics-wifiblock.h.
| bool _HRWBwriteRegPrivate | ( | tSensors | link, |
| int | reg, | ||
| tByteArray & | data, | ||
| int | size | ||
| ) |
Write data array to a register
Note: this is an internal function and shouldn't be used directly
| link | the port number |
| reg | register to write to |
| data | value to write to the register |
| size | amount of data to send |
Definition at line 329 of file humarobotics-wifiblock.h.
| bool HRWBconfigNetwork | ( | tSensors | link, |
| tNetworkInfo & | netInfo | ||
| ) |
Configure the IP and WiFi settings
| link | the port number |
| netInfo | tNetworkInfo struct containing network connection parameters |
Definition at line 680 of file humarobotics-wifiblock.h.
| bool HRWBdisableWifi | ( | tSensors | link ) |
Disable the WiFi
| link | the port number |
Definition at line 561 of file humarobotics-wifiblock.h.
| bool HRWBdoGET | ( | tSensors | link, |
| tGetRequest & | getrequest | ||
| ) |
Perform a HTTP GET transaction
| link | the port number |
| getrequest | tGetRequest struct containing transaction parameters |
Definition at line 748 of file humarobotics-wifiblock.h.
| bool HRWBdoPOST | ( | tSensors | link, |
| tPostRequest & | postrequest | ||
| ) |
Perform a HTTP POST transaction
| link | the port number |
| postrequest | tPostRequest struct containing transaction parameters |
Definition at line 824 of file humarobotics-wifiblock.h.
| bool HRWBdoTCP | ( | tSensors | link, |
| tTCPRequest & | tcprequest | ||
| ) |
Perform a TCP transaction
| link | the port number |
| tcprequest | tTCPRequest struct containing transaction parameters |
Definition at line 888 of file humarobotics-wifiblock.h.
| bool HRWBdoUDP | ( | tSensors | link, |
| tUDPRequest & | udprequest | ||
| ) |
Perform a UDP transaction
| link | the port number |
| udprequest | tUDPRequest struct containing transaction parameters |
Definition at line 962 of file humarobotics-wifiblock.h.
| bool HRWBenableWifi | ( | tSensors | link ) |
Enable the WiFi
| link | the port number |
Definition at line 549 of file humarobotics-wifiblock.h.
| bool HRWBeraseConfig | ( | tSensors | link ) |
Erase the current network configuration
Use in combination with HRWBresetWifiBlock() to start with a clean configuration
| link | the port number |
Definition at line 587 of file humarobotics-wifiblock.h.
| float HRWBreadBatt | ( | tSensors | link ) |
Read the current voltage level
| link | the port number |
Definition at line 518 of file humarobotics-wifiblock.h.
| bool HRWBreadBigReg | ( | tSensors | link, |
| int | reg, | ||
| int | size | ||
| ) |
Read a register. Data read is stored in HRWB_HugeArray
| link | the port number |
| reg | register to read |
| size | amount of data to read |
Definition at line 465 of file humarobotics-wifiblock.h.
| int HRWBreadHTTPCode | ( | tSensors | link ) |
Read the HTTP result code of the last HTTP transaction.
| link | the port number |
Definition at line 491 of file humarobotics-wifiblock.h.
| bool HRWBreadReg | ( | tSensors | link, |
| int | reg, | ||
| int | size | ||
| ) |
Read a register. Data read is stored in HRWB_I2CReply
| link | the port number |
| reg | register to read |
| size | amount of data to read |
Definition at line 440 of file humarobotics-wifiblock.h.
| bool HRWBreadSensorType | ( | tSensors | link, |
| string & | sType | ||
| ) |
Read the type of sensor. Should be WIFI, unless there's something really freaky going on
| link | the port number |
| sType | string to hold the sensor type string. |
Definition at line 533 of file humarobotics-wifiblock.h.
| bool HRWBresetWifiBlock | ( | tSensors | link ) |
Reset the WiFiBlock.
| link | the port number |
Definition at line 506 of file humarobotics-wifiblock.h.
| bool HRWBsaveConfig | ( | tSensors | link ) |
Save the current network configuration
| link | the port number |
Definition at line 573 of file humarobotics-wifiblock.h.
| bool HRWBwriteReg | ( | tSensors | link, |
| int | reg, | ||
| tByteArray & | data, | ||
| int | size | ||
| ) |
Write a tByteArray struct to a register
| link | the port number |
| reg | register to write to |
| data | tByteArray to write to the register |
| size | amount of data to send |
Write a tHugeByteArray struct to a register
| link | the port number |
| reg | register to write to |
| data | tHugeByteArray to write to the register |
| size | amount of data to send |
Write a tBigByteArray struct to a register
| link | the port number |
| reg | register to write to |
| data | tBigByteArray to write to the register |
| size | amount of data to send |
Definition at line 356 of file humarobotics-wifiblock.h.
| bool HRWBwriteReg | ( | tSensors | link, |
| int | reg, | ||
| ubyte | data | ||
| ) |
Write a single byte to a register
| link | the port number |
| reg | register to write to |
| data | value to write to the register |
Definition at line 303 of file humarobotics-wifiblock.h.
| bool HRWBwriteRegMasked | ( | tSensors | link, |
| int | reg, | ||
| ubyte | data, | ||
| ubyte | mask | ||
| ) |
Perform a masked write, which allows you to select a single bit in a register.
| link | the port number |
| reg | register to write to |
| data | value to write to the register |
| mask | to use when writing to the register |
Definition at line 279 of file humarobotics-wifiblock.h.
| void stringToIp | ( | const string | address, |
| tIPaddr & | addr | ||
| ) |
Convert a string to a tIPaddr struct. This is an IPv4 address.
| address | string representation of the IPv4 address |
| addr | tIPaddr struct to hold the IPv4 address |
Definition at line 252 of file humarobotics-wifiblock.h.
| int strsize | ( | tHugeByteArray & | array ) |
Calculate the size of a string in an array. Counts up to the NULL.
| array | the array to check the length of |
Definition at line 235 of file humarobotics-wifiblock.h.
Array to hold scratch data, only more of it
Definition at line 159 of file humarobotics-wifiblock.h.
Array to hold I2C reply data
Definition at line 157 of file humarobotics-wifiblock.h.
Array to hold I2C command data
Definition at line 156 of file humarobotics-wifiblock.h.
Array to hold scratch data
Definition at line 158 of file humarobotics-wifiblock.h.


Tumbleweeds * * 1/2 (out of * * * * )
Directed by Gavin O'Connor. Cast: Janet McTeer, Kimberly J. Brown, Gavin O'Connor, Jay O. Sanders, Laurel Holloman, Ashley Buccille, Cody McMains, Lois Smith, Michael J. Pollard. 1999 - 100 minutes Rated PG-13 (for profanity). Reviewed by Dustin Putman, November 26, 1999.
Writer-director Gavin O'Connor's "Tumbleweeds" bears more than a passing resemblance to another current film, "Anywhere But Here," starring Natalie Portman and Susan Sarandon. Higher-profile and with bigger stars, the latter Hollywood version, for once, is actually superior to its indie counterpart, particularly in its more intimate screenplay. That isn't to say "Tumbleweeds" is a failure, however, as it boasts remarkably natural performances from the two leading ladies. It is these two actresses, and a handful of memorable supporting work, that buoy the film above mediocrity as, ultimately, the story itself is overly familiar and occasionally by-the-numbers, especially in its portrayal of domestic abuse.
At the opening, 40-year-old Mary Jo Walker (Janet McTeer) is being assaulted once again by her nasty-tempered husband. He's her fourth hubby (she has problems saying, "no," to marriage proposals), but she also is not the kind of woman who will allow being mistreated. Soon after, she and her preadolescent daughter Ava (Kimberly J. Brown) have hit the road, like they always do when Mary Jo has man troubles, headed in no particular direction. They have never seen the beach, so they end up moving to San Diego, CA, where Mary Jo gets a job as an office secretary and Ava becomes fast friends at school with fellow classmates Zoe (Ashley Buccille) and Adam (Cody McMains). After a chance meeting with Jack Ranson (Gavin O'Connor), a truck driver who previously had helped fix their car, Mary Jo, once again, believes that Jack is "the" one, and before long, Mary Jo and Ava have moved in with him. Ava clearly doesn't like Jack; she can see right through his thin facade, and fears that if the relationship between her mother and him grows rocky, she will find herself uprooted to another town somewhere else.
As a mother-daughter tale, "Tumbleweeds" is meticulous and believable. The relationship between Mary Jo and Ava is so very unaffected because the screenplay, by O'Connor and Angela Shelton, knows exactly what goes on between a close parent and child. The dialogue exchanges between the two are also right on the money, as is the casting of the two central roles.
Janet McTeer, an English stage actress, is exceptional, not only pulling off a southern accent with nary a flaw in sight, but also transforming Mary Jo into a strong-willed woman whose best friend is her daughter, and gives her all the love and care a child should have. That isn't to say Mary Jo is perfect; she grows scared and dispirited if she doesn't have a husband or boyfriend at all times, and, inevitably, also seems to pick the wrong men. Mary Jo fools herself into believing a man stands for security and can fill up the missing hole in her personal character, but all it really does is cause her constant hardships. When things don't seem to be going well, Mary Jo simply packs up (and sometimes even leaves her belongings) and sets off for another town, never looking back.
Kimberly J. Brown, as Ava, has the more difficult role because she is the one who acts as the voice of reason for her mother. Ava is dedicated and loyal to Mary Jo, rarely ever complaining about her severely dysfunctional life of settling down and moving out, but she is also growing into a teenager, and realizes that running away isn't the answer for everything.  She doesn't need to, because she often does this without even trying. Brown compliments Ava as a girl on the edge of her teenage years, still in the learning process of boyfriends and kissing. Ava can sometimes act spoiled or bratty, but that only comes with the territory of being a child, and otherwise, is a likable character who we can't help but follow with a close eye through the story.
Lending fine support are two impressive supporting turns by Laurel Holloman, as Mary Jo's friend and coworker Laurie, and Jay O. Sanders, as Dan Miller, a kind widower who may be the perfect match for Mary Jo, if only she could see it. In the subplot involving Dan, the turnout isn't exactly as expected, but seems nothing if not truthful to the characters.
When Jack Ranson, played by writer-director Gavin O'Connor, enters the picture as Mary Jo's new blossoming boyfriend, the film instantly becomes more conventional and predictable. We, as the audience, know that Jack isn't quite as charming as he may appear to be at first glance, and it is inescapable that bliss will only last so long, and Mary Jo will want to get out of San Diego as quickly as possible. There then will be a confrontation where Ava will attempt to get her mother to understand they don't have to run away any longer, that she is her own person and her life shouldn't have to revolve around that of men.
The way "Tumbleweeds" ends is understated and, looking back, very little is solved. Without giving anything away, it is unavoidable to wonder whether Mary Jo really will follow through with her new path in life or not, and Ava's blossoming sexuality is cause for concern. Ava may be the one that sees the mistakes her mother makes, but you have to question whether she might end up just like her when she gets a little older. "Tumbleweeds" is a delicate drama, short on plot but rich in memorable characters. It may have its fair share of shortcomings, but the stunning work by McTeer and Brown is cause for celebration, all by itself.
- Copyright 1999 by Dustin Putman Http://www.young-hollywood.com
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
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About this website
It is a small web application that uses python as a server, the flask library, the bootstrap toolkit and the firebase database service in order to schedule contacts.
Requirements
All code is found in the following repository
https://github.com/Silvak/python-web-app/
git user Silvak


Return to color inventory page
Let’s say you have a photo of a product or a place, and you want to design artwork, packaging, etc. to go with it.
One of the things you can do is make a color inventory. You figure out the main colors in your photo and their proportions, and then you use that information to design your materials with the same colors in the same proportions.
Making a color inventory by hand is a laborious task. As a human, you are fantastic at deciding which colors are the main colors. Figuring out the proportions accurately isn’t so easy. This program, then, is meant to assist you. You point out the colors, and the computer calculates the proportions, because computers are great at doing calculations.
The idea for this program came from Amir Esfahani, who teaches art at Skyline College in San Bruno, CA and is the director of the Artist in Residency program for the Internet Archive. Amir also did the CSS to make the color inventory look nice. David Hornung suggested adding the non-proportional inventory.
*Note: It would be great if a program could automatically derive the color inventory from the photo. However, this is not something that computers are particularly good at. (Unless programmed by someone who knows more about machine learning than I do—which is just about everyone.)


Disturbing Behavior (1998)
Director: David Nutter Cast: Jimmy Marsden, Katie Holmes, Nick Stahl, Chad E. Donella, Bruce Greenwood, William Sadler Screenplay: Scott Rosenberg Producers: Armyan Bernstein, Jonathan Shestack Runtime: 83 min. US Distribution: MGM Rated R: violence, sex, profanity
By Nathaniel R. Atcheson<EMAIL_ADDRESS>Sometimes, when I decide to write a short story or a poem, I think of a title first, and then think of a subject to go with it. It seems that the makers of Disturbing Behavior had a similar train of thought when it came to the title sequence. I wouldn't be surprised if a couple of guys got together and created the opening credits, and then someone saw it and made up a story to go along with it. The title sequence is so good, so ominous and original, that it had me engrossed before the picture even began.
Of course, my attention dwindled shortly into the film. Disturbing Behavior, like so many thrillers, starts off interesting and ends up laughably ridiculous. It's a teen horror film with no interesting violence or sex. It's a suspense film with no suspense. It's an Evil Small Town story with no story to speak of. It's a disaster, a listless and uninspired disaster, that just barely misses one-stardom because of a few good sequences, a mercifully short running time, and one terrific set of opening credits.
Our main man is a fellow named Steve Clark, blandly played by Jimmy Marsden. He moves to a small town with his family after, tragically, his brother shoots himself. Steve is very upset about the untimely death of his brother; we learn this through strange home-video like nightmares that he has occasionally. The big trial for Steve is, of course, to fit in at school and make new friends. Marsden looks like your stereotypical jock down to the last detail, so he seems a poor casting choice for a social reject.
As a social reject, he falls in with some pretentious dope-smoking philosophers, Gavin (Nick Stahl) and Rachel (Katie Holmes). Gavin informs Steve that the local group of jocks, known as the Blue Ribboners, are actually a bunch of zombies, assimilating new members into their group, while sporadically killing innocent people. So, it's up to our group of mismatched protagonists to 1) solve the mystery, and 2) do something about it. By the end of it all, something has happened and things have been explained, but the film still doesn't make any sense.
Disturbing Behavior was written by Scott Rosenberg. I've seen his name around recently (he was one of the toucher-uppers on the Armageddon script), and I imagine that, for the most part, he knows what he's doing when it comes to screenwriting. He did, however, have a complete lapse in judgement when he got the idea for this film, and then decided to actually take the time to write it out. Evil Small Town films are pretty common (the last one, Phantoms, is also a dismal failure), but it takes a lot of skill to make the formula work. Rosenberg's script is a complete mess, lacking in even the most basic attempts at characterization.
And it makes no sense, nor is their any purpose when things are finally "explained." There is supposed to be an element of surprise when we see what is happening to the jocks, but the film never explains exactly what *is* happening. They get strapped to chairs, a microchip is inserted into their eyes, and -- poof -- they become sex-crazed, superviolent, machine-like creatures. The doctor responsible for all this, Dr. Caldicott (Bruce Greenwood), must be pretty nuts for thinking that this kind of behavior is a step up from the way high school jocks actually behave (or, perhaps, this is the only realistic element in the film).
Much of the writing is simply bad, and Rosenberg has no intuition when it comes to the way high school kids act. In one terrible scene, Gavin explains to Steve all of the high school cliques, while pointing them out in the cafeteria. Up front, I should say that, in four years of high school, I did not eat in the cafeteria even once. That aside, the various social groups he points out are general, uninteresting, and poorly-shown. For instance, he points to the "nerds," who are all wearing glasses and playing with their laptops. It's such an obvious cliche that I can't believe Rosenberg even bothered. Most of the dialogue is forced (no one says, "Bite me!" anymore), and none of the scenes have any degree of wit.
This picture is not inspired, and most scenes flop from one to the other, with no sense of momentum or energy. The blame for this can be placed on director David Nutter, who apparently likes his films dry. Horror films should at least exploit violence, but this one is shockingly timid. There are a few good scenes, though, such as an interesting trip through an insane asylum (this is, however, the most forced scene in the film, for how our heroes get there or why they bother are things we never learn). I also liked the school janitor character, played by William Sadler. He has a few lines that are surprisingly thought-provoking.
The acting is largely a waste of talent. Marsden is, as I said, bland (thought not particularly bad). Bruce Greenwood is shamelessly wasted. Stahl and Holmes both show they have talent, but the direction isn't good enough to hone in on their skills (Stahl's performance seems more like a parody of high school potheads). None of these characters expand beyond their one dimension, and, frankly, watching cardboard cut-outs of human beings run down hallways while screaming just isn't all that cool.
Disturbing Behavior is a wreck of a film, and it started out a wreck before shooting even began. I'm surprised there were producers who read this script and thought that it would make a good film, or that it would make a lot of money at the box office. It's not boring, or even blatantly awful, but it's an uninspired lump of a film. It sure starts off nicely, but the regression into total absurdity is so consistent that the very last scene is outright laughable. So, if you go to see this film, take my advice: appreciate the credit sequence, and pray it never ends.
*1/2 out of **** (3/10, D+)
Visit FILM PSYCHOSIS at http://www.pyramid.net/natesmovies
Nathaniel R. Atcheson
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
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PLANET SICK-BOY: http://www.sick-boy.com "We Put the SIN in Cinema"
It's tough to write a review for a film like Hamlet. You can't touch the story, so critics are basically left to drone on about the acting and the adaptation, if it is done in some unusual manner. In the last ten years, we've already had the run-of-the-mill Hamlet with Mel Gibson, an unabridged Hamlet with Kenneth Branagh, and now we get Hamlet set in present-day New York City.
This interesting version of Shakespeare's drama is probably more akin to Baz Luhrmann's 1996 update of Romeo + Juliet than it is to either Gibson's or Branagh's renderings. Both were adapted and directed by independent filmmakers (Michael Almereyda, Trance) and both placed its characters in contemporary settings while keeping the Bard's language. Like Romeo + Juliet, Hamlet uses a television news anchor as the story's narrator, and we also see clever management of modern devices like faxes, laptop computers, cell phones, airplanes and video cameras, all of which seem to blend seamlessly into a story that's over four hundred years old.
Here, Hamlet (Ethan Hawke, Snow Falling on Cedars) is dark, brooding and perpetually filming everything with his digital video camera - so he's pretty much Wes Bentley in American Beauty. He returns home from school for his father's funeral and wants to return immediately to his studies rather than watch mother Gertrude (Diane Venora, The Insider) go at it with her new husband, Hamlet's uncle Claudius (Kyle MacLachlan, Timecode), who has just become the new CEO of Denmark Corporation. But when he's visited by his father's ghost (Sam Shepard, Snow Falling on Cedars), Hamlet decides instead to stick around and go crazy, dragging the comely photographer Ophelia (Julia Stiles, Down to You) into madness with him.
The rest of Hamlet proceeds as you would expect, with large chunks missing here and there (it would be four hours long otherwise). The play-within-the-play becomes a clever movie-within-the-movie, even though it's still called `Mouse Trap.' Rosencrantz (Steve Zahn, Happy, Texas) and Guildenstern (Dechen Thurman, Uma's brother) are as bumbling as ever. And Almereyda evens manages to work in things like MovieFone recordings and those annoying celebrity messages telling you to buckle up while you're riding in New York City taxicabs.
While the acting is quite commendable – Hawke is especially surprising – Hamlet suffers from some painfully slow parts. But if you're familiar with the story, you know things are going to get a lot more interesting. The film looks terrific, and features work from American Psycho production and set designers Gideon Ponte and Jeanne Develle, and handsome photography by John de Borman (Hideous Kinky).
1:51 – R for graphic violence and adult situations
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.
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Hey There! My name is Ganesh, I was born and raised in Bangalore.I finished my Engineering Graduation at Dayanada Sagar College of Engineering, Bangalore. I love to solve problems, I love the challenge of finding a way and discovering solutions. I keep myself busy as I believe "Self growth is the ultimate growth" .
Now coming to my personal interests, I like researching on new technologies and gadgets. My favourite hobbies are
Gaming, Drawing, Playing Badminton, Football, Chess. I love South Indian foods.
Have a nice day!
A React App built with Node js server and database, it recognises faces in pictures.You need to mandatorily sign up for a new user and sign in if an existing user. Try it out!
A React Project built from scratch which is a audio player implemented with help of free Spotify API.
A Personal Portfolio of myself in detail built from scratch with HTML,CSS,BOOTSRAP AND JAVASCRIPT.
A search application where movie details are obtained by Movie Name or IMDB ID built using HTML,CSS,JAVA-SCRIPT AND JQUERY built from scratch.
[Put your call to action here]
Call to Action


JANE Version 2.0 (May 2010)Contact: Katrin Tomanek http://www.julielab.de |
Jena Annotation Environment
The Jena Annotation Environment(JANE) is a platform that supports the complete annotation
life-cycle and allows for `focused' annotation based on active
learning -- an intelligent selective sampling strategy that helps
reduce the amount of data to be annotated substantially at almost no
loss in annotation effectiveness.
Administration GUI
The administration GUI is part of JANE providing an GUI for annotation administrators.


Divvy Bikes's Website
This app searches the Chicago Data Portal for locations of Divvy Bikes in Chicago by typing in a street name. For example, typing "western" into the search box will come up with all the Divvy Bike stations that are on Western Avenue.


Model Editor Preferences
Show Evaluate Constant Expression in its own tab
By default, the user can enter constant expressions to evaluate in a section on the Model Checking
Results page; by selecting this option, this section will be moved to its own page
within the Model Editor.
Definition Override display style
The Definition Override display on the Spec Options tab of the model editor can display definitions
referenced from the primary specification in either the display format of:
- Definition [Module Name]
- InstanceVariable!Definition
where, in the latter, InstanceVariable
is defined in specification such as
InstanceVariable == INSTANCE ModuleName WITH ...
This style definition also carries over to the display shown when adding a new override in
this section.
↑ Model Checking


The rules that specify the overall processing of an order can be complex too, particularly as they often involve waiting around for things to happen.
In Kata Sixteen we had a look at the business rules that applied when we received payment for various kinds of product. Handling payments is just a small part of the overall workflow required to process an order. For the company whose application we’re looking at, order processing looks something like:
If we accept an order over the web, then we have to wait for payment to arrive, unless it’s a credit-card order. In the case of credit card orders, we can process the order immediately and ship the goods, but only if the goods are in stock. If they are not currently in stock, we have to delay processing credit card orders until the become available again.
We can receive a check in payment of an existing order, in which case we ship the goods (unless they are not in stock, in which case we hold the check until the goods become available).
We can receive a purchase order (PO) for a new order (we only accept these from companies with an established credit account). In this case we ship the goods (assuming they are in stock) and also generate an invoice against the PO. At some point in the future we’ll receive payment against this invoice and the order will be complete.
At any time before the goods are shipped the customer may cancel an order.
Each step in this process may occur many days after the previous step. For example, we may take an order over the web on Monday, receive a check for this order on Thursday, then ship the goods and deposit the check when the item is received from our own suppliers on the following Tuesday.
How can we design an application to support these kinds of rules? Of course, businesses change the rules all the time, so we better make sure that anything we come up makes it easy to update the workflow.


ZIP: 213 Title: Shielded Coinbase Owners: Jack Grigg<EMAIL_ADDRESS>Status: Draft Category: Consensus Created: 2019-03-30 License: MIT
The key words "MUST" and "MAY" in this document are to be interpreted as described in RFC 2119. 1
The term "network upgrade" in this document is to be interpreted as described in ZIP 200 2.
The term "Sapling" in this document is to be interpreted as described in ZIP 205 3.
The terms "Founders' Reward" and "funding stream" in this document are to be interpreted as described in ZIP 207 4.
This proposal defines modifications to the Zcash consensus rules that enable coinbase funds to be mined to Sapling addresses. It does not disable the use of transparent addresses in coinbase transactions.
Zcash inherited the concept of "coinbase transactions" from Bitcoin: special transactions inside each block that are allowed to have no inputs. These transactions are created by miners during block creation, and collect the block reward and transaction fees into new transparent outputs that can then be spent. They are also leveraged in Zcash for the Founders' Reward (and potentially for funding streams 4).
On the path to deprecating and removing Bitcoin-inherited transparent addresses within the Zcash network, a required step is to be able to create coinbase transactions that have no transparent outputs. However, Zcash was launched with a consensus rule preventing coinbase transactions from containing shielded outputs, instead enforcing that coinbase funds could not be spent in transactions with transparent outputs. This was partly in order to reduce the complexity of the original Zcash modifications to the Bitcoin Core codebase, but also because at the time, shielded transactions required significant memory and CPU resources to create.
The Sapling network upgrade 3 deployed architectural changes and performance improvements that make shielding funds directly in the coinbase transaction feasible. In order to reduce the complexity of the Sapling network upgrade, the existing consensus rules preventing coinbase transactions from containing shielded outputs were extended to cover Sapling outputs. Therefore, it is now necessary to modify the consensus rules in order to enable miners to start using Sapling addresses.
Prior to activation of the Heartwood network upgrade, this existing consensus rule on coinbase transactions is enforced:
A coinbase transaction MUST NOT have any JoinSplit descriptions, Spend descriptions, or Output descriptions.
Once the Heartwood network upgrade activates:
A coinbase transaction MUST NOT have any JoinSplit descriptions or Spend descriptions.
[Pre-Heartwood] A coinbase transaction also MUST NOT have any Output descriptions.
valueBalance
, vShieldedOutput
, and bindingSig
in non-coinbase transactions MUST also be applied to coinbase transactions.vout
, is amended to only apply to transactions that spend transparent coinbase outputs.A transaction MUST NOT spend a transparent output of a coinbase transaction from a block less than 100 blocks prior to the spend. Note that outputs of coinbase transactions include Founders’ Reward outputs [and potentially funding stream outputs].
This ZIP does not alter the existing Founders' Reward addresses.
The ZIP does not require that all coinbase must be shielded immediately from activation of the network upgrade, so that miners and mining pools may gradually migrate from their existing transparent addresses to Sapling addresses. This also simplifies the consensus rules, because the Founders' Reward targets transparent addresses, and thus it remains necessary for the time being to support them. A future ZIP could require all coinbase to be shielded immediately.
Enforcing coinbase maturity at the consensus level for Sapling outputs would incur significant complexity in the consensus rules, because it would require special-casing coinbase note commitments in the Sapling commitment tree. The standard recommendation when spending a note is to select an anchor 10 blocks back from the current chain tip, which acts as a de-facto 10-block maturity on all notes, coinbase included. This might be proposed as a consensus rule in future.
There is another reason for shielded coinbase maturity being unnecessary: when a reorg or rollback occurs that would cause a shielded coinbase output to disappear, it will also invalidate every shielded transaction that uses an anchor descending from the tree that the shielded coinbase output had been appended to. That is, all economic activity would be rolled back in addition to the shielded coinbase output disappearing, so there is no reason to make shielded coinbase a special case when the same behaviour occurs in regular shielded notes already. In the transparent coinbase case, only direct child transactions of the transparent coinbase would become invalid, and thus it would be possible to end up in a situation where a logical child transaction (for example, a mining pool paying out miners) persists in the block chain after its logical parent (the mining pool receiving a block) disappears.
Requiring that note commitments are valid when recovering using a fixed outgoing viewing key implies that target addresses and values for all Sapling outputs within the coinbase are revealed. This would be necessary to correctly enforce shielded Founders' Reward or funding stream outputs, and it is simpler to enforce this on all outputs. Additionally, this maintains the ability for network observers to track miners and mining pools. Meanwhile, the miners and mining pools could put useful or identifying text in the memo fields of the outputs, instead of storing it ad-hoc elsewhere in the coinbase transaction.
Sapling outputs in coinbase transactions are by design publicly viewable, in contrast to Sapling outputs in normal transactions. This does not introduce any privacy regressions relative to existing coinbase transactions, because coinbase output values and recipient addresses have always been public information. However, users with threat models that rely on keeping their Sapling address private (for example, to maintain post-quantum privacy), and who are also miners or mining pools, should use a coinbase-specific address when creating blocks.
Revealing the coinbase output notes does not enable anyone else to detect when the note is spent, which removes the need for a separate shielding step like is enforced for transparent coinbase outputs.
This proposal will be deployed with the Heartwood network upgrade.
| 1 | Key words for use in RFCs to Indicate Requirement Levels |
|---|
| 2 | ZIP 200: Network Upgrade Activation Mechanism |
|---|
| 3 | ZIP 205: Deployment of the Sapling Network Upgrade |
|---|
| 4 | ZIP 207: Split Founders' Reward |
|---|


Sparkline
Line Charts
Example of line sparkline chart.
Bar Chart
Example of bar sparkline chart.
Pie Chart
Example of pie sparkline chart.
Mouse Speed Chart
Example of mouse speed sparkline chart.
Composite Bar Chart
Example of composite bar sparkline chart.
Discrete Chart
Example of discrete sparkline chart.


{{vm.ctrlName}}
AngularJS 1.x hot reloading. This is a plugin for the awesome BrowserSync and bs-injular libs.
This supports template, controller, directive, component and filter injection.
See https://github.com/tfoxy/bs-injular for more details
Configuration in gulp/server.js


vignettes/get_daily_box_office_info.Rmd
get_daily_box_office_info.Rmd
The boxoffice()
function scrapes information about daily box office results of movies. It scrapes the webpages of either http://www.boxofficemojo.com or https://www.the-numbers.com/ for this information. The data it returns are the following:
In essence, it shows how well each movie performed on a given day.
movies <- boxoffice::boxoffice(date = as.Date("2015-10-31"))
#> Registered S3 method overwritten by 'rvest':
#> method from
#> read_xml.response xml2
dim(movies)
#> [1] 46 9
movies[1:5, ]
#> movie distributor gross percent_change theaters
#> 1 The Martian 20th Century Fox 4564809 31 3218
#> 2 Bridge of Spies Walt Disney 3588796 45 2873
#> 3 Goosebumps Sony Pictures 3326075 9 3618
#> 4 The Last Witch Hunter Lionsgate 2023321 36 3082
#> 5 Hotel Transylvania 2 Sony Pictures 1905762 7 2962
#> per_theater total_gross days date
#> 1 1419 179446657 30 2015-10-31
#> 2 1249 43200132 16 2015-10-31
#> 3<PHONE_NUMBER>2 16 2015-10-31
#> 4<PHONE_NUMBER>1 9 2015-10-31
#> 5<PHONE_NUMBER>82 37 2015-10-31
There are three parameters for boxoffice()
: dates
, site
, and top_n
.
dates
are simply an input dates (in Date format) that you want to get information on. In accepts either a single date or a vector of dates. site
indicates which site you want to scrape: the-numbers.com or boxofficemojo.com. The accepted inputs are “numbers” which is the default site or “mojo”. Both sites are very similar and provide nearly identical results. All results are ordered in descending order by how much that movie made on that day. For example, the top selling movie of the day is the first value while the worst selling movie is the last value.
Note that the terms of use for boxofficemojo.com does not permit scraping without their written permission. If you do not have written permission, please ask them for it or change or only scrape from the-numbers.com.
Here is the first 10 movie names for both sites. We will use the top_n
parameter to only return the top 10 selling movies.
mojo <- boxoffice::boxoffice(dates = as.Date("2015-10-31"),
site = "mojo", top_n = 10)
#> The terms of use for boxofficemojo.com does not permit scraping without their written permission. If you do not have written permission, please ask them for it or change the site parameter to 'numbers' to use the-numbers.com which does not forbid scraping without permission.
numbers <- boxoffice::boxoffice(dates = as.Date("2015-10-31"),
site = "numbers", top_n = 10)
cbind(mojo[, c(1,3)], numbers[, c(1,3)])
#> movie gross
#> 1 The Martian 4564809
#> 2 Bridge of Spies 3588796
#> 3 Goosebumps 3326075
#> 4 The Last Witch Hunter 2023321
#> 5 Hotel Transylvania 2 1905762
#> 6 Burnt 1733927
#> 7 Paranormal Activity: The Ghost Dimension 1452089
#> 8 Crimson Peak 1393460
#> 9 Our Brand Is Crisis (2015) 1260523
#> 10 Steve Jobs 1021780
#> movie gross
#> 1 The Martian 4564809
#> 2 Bridge of Spies 3588796
#> 3 Goosebumps 3326075
#> 4 The Last Witch Hunter 2023321
#> 5 Hotel Transylvania 2 1905762
#> 6 Burnt 1733927
#> 7 Paranormal Activity: The Gh… 1452089
#> 8 Crimson Peak 1393460
#> 9 Our Brand is Crisis 1260523
#> 10 The Met: Live in HD - Tannh… 1150000
The results are close. Some movie name spellings and numbers are slightly different. In this case, the 10th ranking movie is also different between the sites. Situations like this are rare. When looking at more recent releases (e.g. within the last two weeks), there will be more differences. These differences will disappear (at least for the most part) as time goes on.


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IMUGraph
Adquisition with IMUs
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Detects fall from the accelerometer data. More...
Public Member Functions | |
| def | __init__ |
| Constructor for the Fall Detection algorithm. More... | |
| def | normalVector |
| Calculates de normal vector of three vectors. More... | |
| def | search1LFT |
| Finds the first lower value on a list. More... | |
| def | search2LFT |
| Finds the first upper value on a list. More... | |
| def | updateFall |
| Updates the Fall Detection algorithm with the last data. More... | |
| def | getFallStatus |
| Getter for the fall status obtained from the last update. More... | |
| def | getSemiFallStatus |
| Getter for the semi fall status obtained from the last update. More... | |
Public Attributes | |
| UFT | |
| LFT | |
| fs | |
| POSITION | |
Static Public Attributes | |
| int | SIZE = 1024 |
| Buffer size for SV. More... | |
| float | UFT = 2.8 |
| Upper force trigger. More... | |
| float | LFT = 0.65 |
| Lower force trigger. More... | |
| int | fs = .02 |
| Time between samples. More... | |
| list | SV = [0.0] |
| List for SV values. More... | |
| list | YAW = [.0] |
| List for angles monitoring posture. | |
| list | PITCH = [.0] |
| list | ROLL = [.0] |
| int | POSITION = 0 |
| Indicates for the buffers index. | |
| DROP = False | |
| Indicates if a fall was detected. More... | |
| SEMIDROP = False | |
Detects fall from the accelerometer data.
Using an accelerometer calculates:
| def fallDetection.FallDetection.__init__ | ( | self, | |
fs = .02 , |
|||
UFT = 2.8 , |
|||
LFT = .65 |
|||
| ) |
Constructor for the Fall Detection algorithm.
Initializes the values of fs, UFT and LFT allowing to change the default values of the algorithms
| self | The object pointer |
| fs | Time between samples, in seconds |
| UFT | UFT trigger, in g (gravities) |
| LFT | LFT trigger, in g (gravities) |
| def fallDetection.FallDetection.getFallStatus | ( | self | ) |
Getter for the fall status obtained from the last update.
Return the result of the Fall Detection algorithm from the last updateFall call.
| def fallDetection.FallDetection.getSemiFallStatus | ( | self | ) |
Getter for the semi fall status obtained from the last update.
Return the result of the Fall Detection algorithm from the last updateFall call before checking the posture
| def fallDetection.FallDetection.normalVector | ( | self, | |
| x, | |||
| y, | |||
| z | |||
| ) |
Calculates de normal vector of three vectors.
Uses the math library from Python
| self | The objetc pointer |
| x | 1st value to normalize |
| y | 2nd value to normalize |
| z | 3rd value to normalize |
| def fallDetection.FallDetection.search1LFT | ( | self, | |
| value, | |||
| vector | |||
| ) |
Finds the first lower value on a list.
Finds the first lower value of LFT on a list
| self | The objetc pointer |
| value | The value to find in the list |
| vector | The list to find on |
| def fallDetection.FallDetection.search2LFT | ( | self, | |
| value, | |||
| vector | |||
| ) |
Finds the first upper value on a list.
Finds the first upper value of LFT on a list
| self | The objetc pointer |
| value | The value to find in the list |
| vector | The list to find on |
| def fallDetection.FallDetection.updateFall | ( | self, | |
| x, | |||
| y, | |||
| z, | |||
| yaw, | |||
| pitch, | |||
| roll | |||
| ) |
Updates the Fall Detection algorithm with the last data.
The function searches for a SV in between the impact range, a fall speed between the time corresponding the impact and the posture when a fall is detected.
| self | The objetc pointer |
| x | acceleration in X axis, in g (gravities) |
| y | acceleration in Y axis, in g (gravities) |
| z | acceleration in Z axis, in g (gravities) |
|
static |
Indicates if a fall was detected.
|
static |
Time between samples.
Time between samples, in seconds
|
static |
Lower force trigger.
Lower force trigger for detecting the start of the impact, in g (gravities)
|
static |
Buffer size for SV.
Determinate the buffer size for storing the SV data
|
static |
List for SV values.
Stores the last SV values
|
static |
Upper force trigger.
Upper force trigger for detecting an impact, in g (gravities)


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{include file="layout/c_global_style" /} {include file="layout/c_style" /} {include file="layout/c_corejs" /}


We'll look at reverse redlining - where are payday lenders located? Do the patterns that were seen in California reappear in other places? How can we look at data and see where payday lenders are more likely to be?


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I was born and raised in Flint, MI. Growing up in a household with one parent all of my life felt different. It was also one of the most economically depressed times in the country. I learned to survive in a rough neighborhood. Gun shots lit up the city like fireworks. I grew up around crack houses, gangs, and abandoned houses. Getting chased by pit bulls and hearing police sirens while doing homework was a regular. I knew that if I believe and trust in God, he would not only help me but also my city.
Every day, we would play double dutch or curb ball. We met up early morning to ride our bikes, and only went back inside for lunch and dinner. The neighborhoods were filled with love, in the midst of poverty. There was still a sense of community the time. Over time, I witnessed Flint drastically shift from a thriving economy with the auto industry to a deteriorating city. I graduated college with a degree in International Business, and a minor Spanish. I’ve been privileged to volunteer by teaching children in urban communities, working with Detroit public schools to create programs for underprivileged children. I have taught abroad in Japan, Germany, and the Florida Keys with Camp Adventure. I support and partner with many agencies aimed toward empowering the children of Flint.
I desire to use my experience and education toward rebuilding communities in Flint. My passion is to make Flint a great place to raise a family and help revitalize the culture. I want to open a youth center for children. It would offer quality educational programs, foreign language classes, practical life skills training, and workshops to assist with college enrollment. Above all, I want to help children walk their purpose and realize their highest potential.
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Please wait, running tests...
This test discovers the real delay when using setTimeout(fn, 0), which is never actually 0.
setTimeout(fn, 0)
Test whipped up by Ben Cherry, who has a blog at AdequatelyGood.com.


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I love
them!
This particular version is from Japan and comes with some wonderful grandparent-y
accessories: a
newspaper,
a pipe, a walking stick, a basket of knitting, and a house to use as a backdrop.


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