This will server as basic documentation of the API and detail the various endpoints available
get request to authenticate users
get request logs out an authenticate user
get Request returns user details if logged in
post Request stores users session directly after authenticating
get request to list all resources
get request to return all resource the specified user has bookmarked
post Request to save a resource for the specified user
get request placeholder
get request returns a JSON list of contributions


CHKCONFIG
Section: Maintenance Commands (8)Updated: Wed Oct 8 1997
Index Return to Main Contents
NAME
chkconfig - updates and queries runlevel information for system servicesSYNOPSIS
chkconfig [--list] [--type type][name]chkconfig --add name
chkconfig --del name
chkconfig --override name
chkconfig [--level levels] [--type type] name <on|off|reset|resetpriorities>
chkconfig [--level levels] [--type type] name
DESCRIPTION
chkconfig provides a simple command-line tool for maintaining the /etc/rc[0-6].d directory hierarchy by relieving system administrators of the task of directly manipulating the numerous symbolic links in those directories.This implementation of chkconfig was inspired by the chkconfig command present in the IRIX operating system. Rather than maintaining configuration information outside of the /etc/rc[0-6].d hierarchy, however, this version directly manages the symlinks in /etc/rc[0-6].d. This leaves all of the configuration information regarding what services init starts in a single location.
chkconfig has five distinct functions: adding new services for management, removing services from management, listing the current startup information for services, changing the startup information for services, and checking the startup state of a particular service.
When chkconfig is run with only a service name, it checks to see if the service is configured to be started in the current runlevel. If it is, chkconfig returns true; otherwise it returns false. The --level option may be used to have chkconfig query an alternative runlevel rather than the current one.
When chkconfig is run with the --list argument, or no arguments at all, a listing is displayed of all services and their current configuration.
If one of on, off, reset, or resetpriorities is specified after the service name, chkconfig changes the startup information for the specified service. The on and off flags cause the service to be started or stopped, respectively, in the runlevels being changed. The reset flag resets the on/off state for all runlevels for the service to whatever is specified in the init script in question, while the resetpriorities flag resets the start/stop priorities for the service to whatever is specifed in the init script.
By default, the on and off options affect only runlevels 2, 3, 4, and 5, while reset and resetpriorities affects all of the runlevels. The --level option may be used to specify which runlevels are affected.
Note that for every service, each runlevel has either a start script or a stop script. When switching runlevels, init will not re-start an already-started service, and will not re-stop a service that is not running.
chkconfig also can manage xinetd scripts via the means of xinetd.d configuration files. Note that only the on, off, and --list commands are supported for xinetd.d services.
chkconfig supports a --type argument to limit actions to only a specific type of services, in the case where services of either type may share a name. Possible values for type are sysv and xinetd.
OPTIONS
- --level levels
-
Specifies the run levels an operation should pertain to. It is given as
a string of numbers from 0 to 6. For example, --level 35 specifies
runlevels 3 and 5.
- --add name
-
This option adds a new service for management by chkconfig. When a new service is added, chkconfig ensures that the service has either a start or a kill entry in every runlevel. If any runlevel is missing such an entry, chkconfig creates the appropriate entry as specified by the default values in the init script. Note that default entries in LSB-delimited 'INIT INFO' sections take precedence over the default runlevels in the initscript; if any Required-Start or Required-Stop entries are present, the start and stop priorities of the script will be adjusted to account for these dependencies.
- --del name
-
The service is removed from chkconfig management, and any symbolic
links in /etc/rc[0-6].d which pertain to it are removed.
Note that future package installs for this service may run chkconfig --add, which will re-add such links. To disable a service, run chkconfig name off.
- --override name
-
If service name is configured exactly as it would be if the
--add option had been specified with no override file in
/etc/chkconfig.d/name, and if /etc/chkconfig.d/name now
exists and is specified differently from the base initscript,
change the configuration for service name to follow the
overrides instead of the base configuration.
- --list name
-
This option lists all of the services which chkconfig knows about,
and whether they are stopped or started in each runlevel. If name
is specified, information in only display about service name.
RUNLEVEL FILES
Each service which should be manageable by chkconfig needs two or more commented lines added to its init.d script. The first line tells chkconfig what runlevels the service should be started in by default, as well as the start and stop priority levels. If the service should not, by default, be started in any runlevels, a - should be used in place of the runlevels list. The second line contains a description for the service, and may be extended across multiple lines with backslash continuation.
For example, random.init has these three lines:
# chkconfig: 2345 20 80 # description: Saves and restores system entropy pool for \ # higher quality random number generation.This says that the random script should be started in levels 2, 3, 4, and 5, that its start priority should be 20, and that its stop priority should be 80. You should be able to figure out what the description says; the \ causes the line to be continued. The extra space in front of the line is ignored.
chkconfig also supports LSB-style init stanzas, and will apply them in preference to "chkconfig:" lines where available. A LSB stanza looks like:
### BEGIN INIT INFO # Provides: foo # Required-Start: bar # Defalt-Start: 2 3 4 5 # Default-Stop: 0 1 6 # Description: Foo init script ### END INIT INFO
In this case, the start priority of "foo" would be changed such that it is higher than the "bar" start priority, if "bar" is enabled. Care must be taken when adding dependencies, as they can cause vast shifts in the start and stop priorities of many scripts.
OVERRIDE FILES
File in /etc/chkconfig.d/servicename are parsed using the same comments that chkconfig notices in init service scripts, and override values in the init service scripts themselves.
SEE ALSO
init(8) ntsysv(8) system-config-services(8)AUTHOR
Erik Troan<EMAIL_ADDRESS>Index
This document was created by man2html, using the manual pages.
Time: 05:34:24 GMT, December 24, 2015


This is a yarn about people getting really, really twisted. I've given my background in another report but Ill skim through again: Pot, Shrooms, Acid, Mdma, Meth, 2CB, Salvia, Nitrous, some real shitty coke. The most interesting part of this report is probably going to be the BZP, which where I come from (New Zealand) is legal and is sold under the brand names Frenzy, Euphoria and Nemi. TMFPP, which is another form of Piperazine is sold as Exodus, but there is BZP in these as well, not very helpful for serious experimenters.
The setting was at a New Years eve outdoor Dance party, and a better setting would be hard to find in my opinion. The various areas and campsites were nestled amongst tall hills, a beatiful and unspoiled natural environment. The vibes were amazing, the weather was sunny and my friends and I immediately felt welcome. This was to be my fourth time on E and my second candyflip, but I was soon to find out that the gear I'd got this time was far, far superior to those times I've just mentioned. I was filled with nervous exitement, but being among a large group of friends who I'd been tight with for ages meant that there was nothing approaching a negative thought in my mind.
We broke out the pot in large amounts to pass the time but some of my friends were getting impatient and had heard there were some legal pills for sale that had an effect similar to speed. They went to obtain some of these while I continued to chill. The ones they got were Euphoria which I think had 50mg BZP per pill or maybe 75. Frenzy certainly have 75mg, and are stronger which makes me suspect they were 50. After being responsibly(!) informed by the supplier that they would go well with an E my friends G, P and D each took four of these pills. My other friend (P also) took two. An hour and a half later they were all visibly mashed. I had tried Exodus, the ones with TMFPP, before, and did my best to warn them about the many negative side effects I had experienced (extreme jaw clamping, contracted gut and extended loss of appetite) but everyone just saw me as a spoilsport and didn't pay any attention. P1 (one of the dudes on four) said that it was almost as good as a roll.
At this point I dropped my half Acid blotter (T 0:00) and we all sat around in the slowly fading sun, enjoying the last few moments of relaxation before the big night ahead. As my acid kicked in (T 0:45) I had a balloon and this confirmed that it was a good half dip, some very interesting visuals were occuring already. Also, since Euphoria came in four packs my mate P2 had a couple spare, so I thought what the hey and joined the others in partaking of this strange chemical.
By nightfall (T 1:45) I was well charged and anticipating the E to really do the business. The countdown was a bit of an anticlimax, probably because none of us had dropped our eccies yet. We wanted to hold out as long as possible, but at one am we could no longer resist (T3:30) and dropped. We walked around for a while, to pass the time and soon I was feeling extremely strange. I have no idea when it happened but at some stage I suddenly realised that I was no longer on Earth. I don't mean this metaphorically at all, I was literally on another planet. I think it was Mars or something. I felt like I was completely lost, but in a good way. The time distortion was just unbelievable. Seconds seemed like hours. Me, P1 and G ended up at the Tribal tent and tried to dance for a while but then we looked at each other and came to the realisation that we were seriously, seriously twisted.
We made the wise decision to head back to base camp and have bizarre, in-depth discussions about nothing in particular. My mate P1 had a different pill to us called an X-files and he was convinced that he was seeing aliens. Since I was on Mars, this made sense to me at the time. It helped that all the hard-trancers were running around with glow sticks. I started raving on about evolution, (I had been listening to a lot of Bill Hicks) and we looked up at the stars which were bright in a way that you only get in the middle of the bush. We sat there for about two hours, until our rolls became a bit more manageable.
As the first light appeared, we headed out to the main stage to see what we had come for, a DnB set from 48 Sonic and Riddle. It was kinda weird seeing a whole lot of people as wasted as us in the light in the middle of a field. The set was awesome, they spun the hugely appropriate 'Morning Light' by Concord Dawn. After this we went back to base, where in my tent were a few Nos' I had been saving. I had a balloon, and this was when I found myself in a corridor of infinity, that was marked by web-like electric blue patterns. I could see in front of me and behind me at the same time! Weird.
Outside, the others were smoking a blunt that had two types of weed and generous amounts of hash in it (no tobacco, but it was still as big as a cigar). As we were partaking of this I had a bizarre and mystical experience.  I immediately felt empathy towards her. She was telling me something about how she had lost her friend although she didn't seem upset or concerned. I felt a queasy sense of guilt as I watched the hash smoke waft in huge clouds around her face. I wished to god that she wasn't there, but knew she had some kind of message for me. I couldn't interpret this hidden message though. It was just like a dream that I knew I'd forget when I woke up.
I was coming down now, so I sought the comfort of my tent. Unfortunately, so had what seemed like a dozen or more white tailed spiders (poisonous). I wasn't imagining this! I decided to sleep outside on a rug in the sun instead.
The next day I could still feel the chemicals in my system. We decided on a change of scene and went to stay in Hahei the next night. A few tokes of Pot brought me a sense of warm well-being and as I lay under the stars with my closest friends I felt truly blessed to be on this crazy planet, no matter how fleeting and strange my experience of it has been and will be.
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.


I ignored several precautions that should be taken when preparing the seeds for ingestion.
My trip took place several weeks ago, but it is still vivid in my mind, both the good and the bad. The whole trip was not really planned out, it just happened.
I was with my friends, who Iíll call T, R, and S, at S's house. We were bored outta our skulls, until I mentioned that we could all fry if we wanted to.
Well, to make a long, boring story short, we ended up driving over to K-mart and stealing 21 packs of Martha Stewartís Morning Glory seeds of the Heavenly Blue variety. We then returned to S's house, and I emptied 6 of the packets into a spaghetti strainer thing, lined with a paper towel so that the seeds would not slip through. I only rinsed them briefly in warm water, a mistake that I would later regret. Then, I placed the seeds into a blender, and made myself a kind of chunky smoothie. I quickly gulped it down, (very good, but the seeds were not very well chopped!) and then sat down to await the trip.
I had done real LSD one time prior to this, so I thought that I knew what to expect. Sadly, I was poorly prepared for what I experienced over the next several hours.
After consuming the milk shake, I sat down and tried to focus on the high that I expected to get. But, to my great alarm, all that I was getting was a VERY uncomfortable nausea. To relieve this, and also as an attempt to make the seeds kick in more quickly, my friend T gave me a bowl of fairly good herb, which did calm my stomach.
After I finished the bowl, T and R began inquiring whether or not I felt anything. I couldnít really concentrate on them though, because the carpet was just so damn interesting to look at. There were thousands of patterns in it, that only now had I began to notice. Then, I briefly listened to what they were laughing about, and quickly caught on that I had not eaten 6 packs of the seeds, but had in fact ingested a significant amount more.
While I wasnít watching, they had slipped in another 8 packs of the seeds, without washing them or anything. It was then that I became frightened, since I remembered from other articles that the seeds shells may have poison on them. I became petrified. I was afraid that I was going to die from poisoning. Also, I wasnít totally confident that I could handle that much LSA, since I remember from somewhere that 10 grams of the seed was equivalent to 4 hits of acid. I became more frightened by the moment, despite their efforts to calm me. Eventually they had me convinced that they didnít really put in all those extra packs, so I calmed down a bit.
About two hours after eating the seeds I had wandered (I donít remember what happened between hour one and 2) over to the coffee roasting club, which is one of the stoner haunts in my town. While there, a friend of mine approached me, and asked if I could get some bud for him. Agreeing that I could, I half-walked half-stumbled (I was very nauseous by this point) over towards my hookups house with 3 of my friends, and left them at the corner.
 At that point, my pupils were quite dilated and he eventually stopped, and I continued to my hookup, and purchased a twamp of chronic. My friends and I then smoked several bowls, which immediately escalated my trip to a peak that lasted for the next several hours.
After leaving my friends, I walked back towards S's house, and was elated by the visuals and, well, feelings I guess, that I was experiencing.
As I was walking down the street, (the sidewalk was too narrow a surface for me to remain on) I felt that I was walking IN the asphalt. I donít know how else to put it. I felt as though only my head was above the surface of the street. I could feel my chin bump on the rough surface of the road, and when I lifted my foot to walk, my neck was above too. Finding this to be the most amusing thing ever, I began to snicker uncontrollably to myself. An elderly couple across the street in their garage looked at me suspiciously and pointed, so I stopped and glared at them for what seemed like a minute, but was in reality only about 10 seconds. When they looked away, I laughed again, for no real reason, and then I continued on towards S's house, and was let inside.
When I got inside, the first thing that I did was go to a mirror, I wanted to see just how dilated my pupils were. I was astounded. They were completely dilated. My pupils filled the entire colored part of my eyes, leaving only a thin crescent of green on the outermost edge.
T and S were the only ones there at this point, R left to go I donít know where. Upon seeing my pupils, the both looked at each other, and laughed uncontrollably. (I forgot to mention this earlier. I ate the seed around 2:30 PM, it was now about 7:00 ) I followed them into the living room, and sat on the couch, and immediately began to complain that I was sinking. Soon, I was frantic with the sinking sensation that I was feeling, which amused T and S considerably.
After about twenty minutes, (shit, maybe more I donít totally remember) I got up and sat down on a chair next to a glass table. On this table, were some smudgy finger prints, that I found were incredibly fascinating. I bent down to inspect them more closely, and immediately bonked my head on the glass. I jerked my head up, bewildered. Then, I noticed the finger prints again, and once again tried to get a closer look at them. I quickly discovered, (like 20 minutes and 60 head hits on the table later, but it seemed quick) that I had no depth perception. This spectacle was watched by both T and S, who couldnít figure out what the hell I was doing. Then, when I told them (about halfway through) they looked at each other, and tried to stifle their laughter. After realizing that all I was going to accomplish through trying to look at the fingerprints was bonk my head, I gave up and looked around for something else to discover.
The first thing that I noticed was that it was 8:10 and I was supposed to be home in 20 minutes. Saying goodbye to my friends, (they offered me a ride but I declined, preferring to walk home and look at everything) I walked home, and was disappointed when I noticed nothing that was worth observing, until I reached my street.
As I walked down my street, I noticed some of my friends standing around in J's (my neighbor across the street) driveway. I walked over to them, eager to see them, for what reason, I do not know. When I got over there, the only person that I recognized was J, so I said whatís up, and told them I was frying balls. Upon hearing this, another person said whatsup to me. I reeled around and faced him, but in the darkness, I didnít recognize him. I demanded to know who he was and how he knew me. He responded by telling me he was C from my school, but I didnít believe him. So, for the next minute or so, I closely examined him from several different angles, namely the side of his head from about 6 inches away. I was finally convinced that he was who he said he was, when my Dad hollered at me from across the street.
In response to his calls, I walked across the street, received the necessary lecture from him for being 10 minutes late, and retired to my room for the duration of my trip. I lay down on my bed, with the lights on, and began to stare into my open closet. Almost immediately, all the shirts which were hung in it, melted. It was as if they were, dripping onto the carpet, and, when they had all puddled there, regrouped themselves and re-hung themselves. For about half an hour, I watched this amusing spectacle, but then, My stomach began to churn again, and I decided it best to sleep. But before I could go to sleep, I started to worry about the poison that may have been on the seeds. I quickly turned my thoughts away from that, and drifted off to sleep.
The next day when I awoke, I was in a terrible amount of pain, which I would describe as being very similar to gas pains, only they came from my stomach. For the next hour, I worried about the poisoning, and then went into the bathroom and vomited up the remains of the morning glory seeds. It was very uncomfortable, as there was almost no liquid in my stomach at the time, so it was like throwing up solids. I regained some of my strength afterward, and for the rest of the day was in a great deal of discomfort.
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.


vignettes/adding_geocoder_services.Rmd
adding_geocoder_services.Rmd
This page documents how to add support for a new geocoder service to the package. Required changes are organized by file. If anything isn’t clear, feel free to file an issue.
Base all changes on the main branch.
The two core functions to focus on in the package are geo() and reverse_geo(). These functions have a very similar layout, but geo()
is for forward geocoding while reverse_geo()
is for reverse geocoding. The geocode()
and reverse_geocode()
functions extract input data and pass it to the geo()
and reverse_geo()
functions respectively.
Both the geo()
and reverse_geo()
functions take inputs (either addresses or coordinates) and call other functions as needed to deduplicate the inputs, pause to comply with API usage rate policies, and execute geocoding queries. Key parameters and settings for geocoding are stored for easy access and display in built-in datasets which are documented below.
get_api_url()
function accordingly. If arguments need to be added to the get_api_url()
function, make sure to adjust the calls to this function in the geo()
and reverse_geo()
functions accordingly.method
column (which is how the service is specified in the geo()
and geocode()
functions). The generic_name
column has the universal parameter name that is used across geocoder services (ie. “address”, “limit”, etc.) while the api_name
column stores the parameter names that are specific to the geocoder service.generic_name
) unless the parameters are required. Parameters can always be passed to services directly with the custom_query
argument in geo()
or reverse_geo()
.min_time_reference
with the minimum time each query should take (in seconds) according to the geocoder service’s free tier usage restrictions.api_key_reference
if the service requires an API key.batch_limit_reference
.api_info_reference
with links to the service’s website, documentation, and usage policy.extract_results()
function which is used for parsing single addresses (ie. not batch geocoding). You can see examples of how I’ve tested out parsing the results of geocoder services here.extract_reverse_results()
function for reverse geocoding.extract_errors_from_results()
function to extract error messages for invalid queries.geo()
.get_coord_parameters()
function based on how the service passed latitude and longitude coordinates for reverse geocoding.reverse_batch_func_map
named list.geo_<method>()
convenience function to R/geo_methods.R.no_query = TRUE
in the geo()
and geocode()
functions.These files don’t necessarily need to be updated. However, you might need to make changes to these files if the service you are implementing requires some non-standard workarounds.
verbose = TRUE
to make sure it behaves as expected. You can reference tests available the ‘sandbox’ folder for reference.devtools::check()
to make sure the package still passes all tests and the vignette runs properly. To only run the package tests use devtools::test()
, but note these tests do not query the geocoder services to avoid external dependencies.devtools::test()
) because they require API keys which would not exist on all systems and are dependent on the geocoder services being online at that the time of the test.


Budibase brings together everything that’s required to build internal tools, such as; dashboards, admin panels, CRMs, approval apps, employee wikis, and everything in between. Within minutes, you can ship internal tools, and empower teams to do more, with less.


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{% extends 'base.html' %} {% block body %}
This application is build on Python's Flask Framework by Vadim16795.


Section 21 Taylor Diagam
21.1 Background
The Taylor Diagram is one of the more useful methods for evaluating model performance. Details of the diagram can be found at http://www-pcmdi.llnl.gov/about/staff/Taylor/CV/Taylor_diagram_primer.pdf and in Taylor (2001). The diagram provides a way of showing how three complementary model performance statistics vary simultaneously. These statistics are the correlation coefficient R, the standard deviation (sigma) and the (centred) root-mean-square error. These three statistics can be plotted on one (2D) graph because of the way they are related to one another which can be represented through the Law of Cosines.
The openair version of the Taylor Diagram has several
enhancements that increase its flexibility. In particular, the
straightforward way of producing conditioning plots should prove
valuable under many circumstances (using the type
option). Many
examples of Taylor Diagrams focus on model-observation comparisons for
several models using all the available data. However, more insight can
be gained into model performance by partitioning the data in various
ways e.g. by season, daylight/nighttime, day of the week, by levels of
a numeric variable e.g. wind speed or by land-use type etc.
We first show a diagram and then pick apart the different components to understand how to interpret it. The diagram can look overly complex but once it is understood how to interpret the three main characteristics it becomes much easier to understand. A typical diagram is shown in Figure 21.1 for nine anonymised models used for predicting hourly O3 concentrations at 15 sites around the UK.
library(openair)
library(tidyverse)
TaylorDiagram(modTest, obs = "o3", mod = "mod", group = "group")
The plots shown in Figure 21.2 break the Taylor Diagrams into three components to aid interpretation. The first plot (top left) highlights the comparison of variability in for each model compared with the measurements. The variability is represented by the standard deviation of the observed and modelled values. The plot shows that the observed variability (given by the standard deviation) is about 27 (μg m-3) and is marked as ‘observed’ on the x-axis. The magnitude of the variability is measured as the radial distance from the origin of the plot (the red line with the arrow shows the standard deviation for model \(g\), which is about 25~μg m-3). To aid interpretation the radial dashed line is shown from the ‘observed’ point. Each model is shown in this case by the position of the letters a to i. On this basis it can be seen that models 1, \(a\), \(b\) have more variability than the measurements (because they extend beyond the dashed line), whereas the others have less variability than the measurements. Models \(a\) and \(b\) are also closed to the dashed line and therefore have the closest variability compared with the observations.
The next statistic to consider is the correlation coefficient, \(R\) shown by the top-right Figure in Figure 21.2. This is shown on the arc and points that lie closest to the x-axis have the highest correlation. The grey lines help to show this specific correlation coefficients. The red arc shows \(R\)=0.7 for model \(g\). The best performing models with the highest \(R\) are models \(b\) and \(g\) with correlation coefficients around 0.7. Two models stand out as having much worse correlations with the observations: models \(e\) and \(i\) (values of around 0.4).
Finally, the lower plot in Figure 21.2 highlights the centred root-mean square error (RMS). It is centred because the mean values of the data (observations and predictions) are subtracted first. The concentric dashed lines emanating from the `observed’ point show the value of the RMS error — so points furthest from the ‘observed’ value are the worst performing models because they have the highest RMS errors. On this basis, model \(g\) has the lowest error of about 20~μg m-3, shown again by the red line. Models \(e\) and \(i\) are considerably worse because they have RMS errors of around 30 μg m-3.
So which model is best? Taken as a whole it is probably model \(g\) because it has reasonably similar variability compared with the observations, the highest correlation and the least RMS error. However, models \(f\) and \(b\) also look to be good. Perhaps it is easier to conclude that models \(e\) and \(i\) are not good .
Note that in cases where there is a column site
it makes sense to
use type = "site"
to ensure that the statistics are calculated
on a per site basis and each panel represents a single site.
::include_graphics(c('images/TaylorExplainSD.png',
knitr'images/TaylorExplainR.png',
'images/TaylorExplainRMS.png'))
21.2 Examples of Taylor Diagrams
The example used here carries on from the previous section using data
from a Defra model evaluation exercise. As mentioned previously, the
use of the type
option offers enormous flexibility for comparing
models. However, we will only focus on the seasonal evaluation of the
models. In the call below, group
is the column that identified
the model and type
is the conditioning variable that produces in
this case four panels — one for each season. Note that in this case
we focus on a single site.
## select a single site
<- filter(modTest, site == "Lullington.Heath")
LH TaylorDiagram(LH, obs = "o3", mod = "mod",
group = "group", type = "season")
Figure 21.3 contains a lot of useful information. Consider the summer comparison first. All models tend to underestimate the variability of O3 concentrations because they all lies within the black dashed line. However, models 7 and 9 are close to the observed variability. The general underestimate of the variability for summer conditions might reflect that the models do not adequately capture regional O3 episodes when concentrations are high. Models 7 and 8 do best in terms of high correlation with the measurements (around 0.8) and lowest RMS error (around 20–22 μg m-3). Models 3, 5 and 6 tend to do worse on all three statistics during the summer.
By contrast, during wintertime conditions models 1 and 3 are clearly best. From an evaluation perspective it would be useful to understand why some models are better for wintertime conditions and others better in summer and this is clearly something that could be investigated further.
There are many other useful comparisons that can be undertaken easily. A few of these are shown below, but not plotted.
## by receptor comparison
TaylorDiagram(modTest, obs = "o3", mod = "mod",
group = "group", type = "site")
## by month comparison for a SINGLE site
TaylorDiagram(subset(modTest, site == "Harwell"),
obs = "o3", mod = "mod",
group = "group", type = "month")
## By season AND daylight/nighttime
TaylorDiagram(subset(modTest, site == "Harwell"),
obs = "o3", mod = "mod",
group = "group",
type = c("season", "daylight"))
It is also possible to combine different groups of model results. For
example, rather than plot how the models perform at a single site it
can be useful to show how they compare at all sites. To do this it is
necessary to normalise the data because there will be different values
of the observed variable across different sites. In this case we can
supply the option group = c("group", "site")
. This will show the
variation by model for all sites. The results are shown in Figure
21.4. These results show that in general models
tend to predict in similalry good (or bad) ways across all sites as
shown by the grouping of points on Figure 21.4.
TaylorDiagram(modTest, obs = "o3", mod = "mod",
group = c("group", "site"),
normalise = TRUE, cex = 1,
pch = c(15:19, 15:18))


Factor mode ! Copyright (C) 2008 Slava Pestov. ! See http://factorcode.org/license.txt for BSD license. ! A simple time server USING: accessors calendar calendar.format io io.encodings.ascii io.servers kernel threads ; IN: time-server : handle-time-client ( -- ) now timestamp>rfc822 print ; : ( -- threaded-server ) ascii "time-server" >>name 1234 >>insecure [ handle-time-client ] >>handler ; : start-time-server ( -- ) start-server drop ; MAIN: start-time-server Simple mode that handles Factor Syntax (Factor on WikiPedia). MIME types defined: text/x-factor.


WITNESS LIST Economic Development Committee March 6, 1997-9:00A SB 79 For: Flood, Patrick (Metropolitan Ministries), Austin Parker, Joseph C. (David Chapel Missionary), Austin Rabbi Baker, Kerry (Hillel Foundation), Austin Rev. Garrett, Frank (Bethel-St. Paul Baptist), Austin Against: Thompson, Jay (AFACT), Austin Registering, but not testifying: For: Daly, Richard (TX Catholic Conference), Austin Forbes, Scott (Houston City Council), Houston Ware, Weston W. (Christian Life Commis.), Dallas On: Davis, Mike (Fire Marshal's Office), Austin Durden, David (TX Dept. of Insurance), Austin SB 251 For: Goodard, Richard Elvis (TX Financial Services), Allen Against: Schneider, Rob (Consumers Union), Austin On: Pettijohn, Leslie (Consumer Credit Commis.), Austin Registering, but not testifying: For: Neeley, Karen (Independent Bankers), Austin Rodgers, Kelly (TX Bankers Association), Austin SB 417 On: Jeball, Leslie (TWC), Austin Registering, but not testifying: On: Hacker, Bailey Sidney (Comp.of Public Accounts), Austin SB 459 For: Bloom, Ed (Ed. of Children Assoc.), Austin Registering, but not testifying: For: Bauman, Ronda (TX Assoc. of Business), Austin Redwine, Laverne A. (Child Care Provider Asc), Austin Robertson, Loretta R. (self), Austin Watson, Jeannette (self), Austin On: Brantley, Charlotte (TWC), Austin SB 547 For: Dole, Richard F. (State Bar of Tx), Houston Registering, but not testifying: For: Neeley, Karen (Independent Bankers), Austin Rodgers, Kelly (TX Bankers Association), Austin SB 652 For: Neeley, Karen (Independent Bankers), Austin Registering, but not testifying: For: Rodgers, Kelly (TX Bankers Association), Austin SB 750 For: Spilman, Wade F. (Asc.of Insurance Agents), Austin On: Myron, Rhonda (TX Dept. of Insurance), Austin Registering, but not testifying: For: Huxel, Bob (Asc.of Insurance Agents), Austin


{% load i18n %} {% load bootstrap3 %} {% bootstrap_icon "plus" as glyphicon_plus %} {% bootstrap_icon "export" as glyphicon_export %}
| {% trans "Route Name" %} | {% trans "Cost (¥)" %} | ||||
|---|---|---|---|---|---|
| {{ route.route_name }} | {{ route.source_name }} | {{ route.destination_name }} | {{ route.total_cost }} Total: {{ route.calculated_total_cost }} |


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I was working with Steven on Jok today.
We were converting a two page (well 3, actually) page web application into a single page application that let you swipe between pages on mobile device but worked the same on a desktop browser.
Here’s how that’s done.
First, download the Swipe.js plugin.
You need the markup for all your pages in a single HTML file, wrapped with two divs
that Swipe uses.
1 2 3 4 5 6 7 8 9 10 |
|
Next, we need to setup Swipe.js.
1 2 3 4 |
|
We need some CSS styles too.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 |
|
We’ve added styles to make each page have a 100%
height, so that our background-color spans the entire page.
This should allow navigating between the pages by swiping on a mobile device. On a desktop, though, there’s no way to switch between pages.
Swipe.js doesn’t detect swipe-like events from the mouse, so we need to add buttons to the page for navigation.
1 2 3 4 5 6 7 8 9 10 |
|
This adds a button on each side of the page which allow navigating to the previous/next pages.
Pretty straight-forward so far. There’s two problems with this approach, though.
- When a page is taller than the height of the viewport, a scrollbar shows up on all pages. This is not too bad. We could probably live with this.
- If we scroll way down on a page, and then switch page, the new page will preserve the scroll position of the previous page. This can be particularly annoying if you have one really tall page and another short page.
We solved this problem by caching the scroll position for each page, and then scrolling to that position when the page was changed.
To hook into the page change event, we need to pass a function into the Swipe.js initializer.
1 2 3 4 5 6 7 8 9 10 11 |
|
This works okay for a two page app. If you’ve got more pages, you’ll have to cache the scroll positions for each page.
1 2 3 4 5 6 7 8 9 10 11 12 |
|


Sorry, the page you requested does not exist or has been deleted！
Page not found, possible reasons are:
- You are advised to re-confirm the entered page address.
- The page does not exist.
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App | IncrO Productions
Home
Themes
Mobile App
Contact
Scratch
Comment
Help
About
Wiki
Issues
Android
Android is the priority platform for coding this secret app, but it is still about half a year off.
Windows Mobile
I can run the Android app though Microsoft's converter, so you can expect it about at the same time.
FireFox OS
Sorry FireFox lovers, but this app will be a while off. Stay tuned!
Other Platforms
If you have a iPhone, I am sorry, but I am not developing for iOS. If you have a Blackberry, you will just be able to download it from Google Play.


How Thanksgiving started the meat alternatives boom
by Jill Rosen-Johns HopkinsWildly popular plant-based, alternative meats like the Impossible Burger and Beyond Meat can trace their origins to Thanksgiving.
As one of the most meat-centric holidays, Thanksgiving traditionally left vegetarians without a comfortable seat at the holiday table. That is, until the introduction of Tofurky quietly introduced the world to “meat” for people didn’t eat meat.
Here, Jan Dutkiewicz, a political scientist at Johns Hopkins University and an expert in the alternative meat industry, explains:
- How the history of the Impossible Burger and other popular alternative meats can be traced to Thanksgiving;
- Why despite the current plant-based meat craze, there is not yet a turkey option that’s created as much buzz;
- How in the future Thanksgivings, with lab-grown meat soon to be available, people might be able to buy turkey created in a petri dish.
Source: Johns Hopkins University


class SecurityController extends RegistrationController
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checkAction()
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logoutAction()
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public
loginAction()
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public
checkAction()
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public
logoutAction()


| Earned TPE | |
| TPE in fielding: | 0 |
| TPE in batting: | 0 |
| TPE Avalaible: | 100 |
1-40: 1 TPE Per Point
40-50: 2 TPE Per Point
50-60: 3 TPE Per Point
60-70: 4 TPE Per Point
70-80: 6 TPE Per Point
80-90: 7 TPE Per Point
90-115: 8 TPE Per Point
| Skill | Base | Points | Cost | Max |
| Fielding Range | 0 | 0 | 110 | |
| Fielding Error | 0 | 0 | 110 | |
| Fielding Arm | 0 | 0 | 110 | |
| Turn Double Play | 0 | 0 | 110 | |
| Catchers Ability | 0 | 0 | 110 | |
| Catchers Arm | 0 | 0 | 110 | |
| Outfield Range | 0 | 0 | 110 | |
| Outfield Error | 0 | 0 | 110 | |
| Outfield Arm | 0 | 0 | 110 |
| Skill | Base | Points | Cost | Max |
| BABIP vs RHP | 0 | 0 | 110 | |
| BABIP vs LHP | 0 | 0 | 110 | |
| Gap vs RHP | 0 | 0 | 110 | |
| Gap vs LHP | 0 | 0 | 110 | |
| Power vs RHP | 0 | 0 | 110 | |
| Power vs LHP | 0 | 0 | 110 | |
| Eye/Patience vs RHP | 0 | 0 | 110 | |
| Eye/Patience vs LHP | 0 | 0 | 110 | |
| Running Speed & Baserunning | 0 | 0 | 110 | |
| Stealing Ability | 0 | 0 | 110 | |
| Baserunning Skills | 0 | 0 | 110 | |
| Sacrifice Bunting | 0 | 0 | 110 | |
| Bunting | 0 | 0 | 110 | |
| Avoid K's vs RHP | 0 | 0 | 110 | |
| Avoid K's vs LHP | 0 | 0 | 110 |
| Earned TPE | |
| TPE spent: | 0 |
| TPE avalaible: | 100 |
1-40: 1 TPE Per Point
40-50: 2 TPE Per Point
50-60: 3 TPE Per Point
60-70: 4 TPE Per Point
70-80: 6 TPE Per Point
80-90: 7 TPE Per Point
90-115: 8 TPE Per Point
Pitchers have the ability to buy 4th pitch for 50 TPE, eligible choices are listed in their player template cards - from the same pool as 2nd and 3rd pitch. Pitch starts at 40 rating and can be upgraded up to 60.
| Skill | Base | Points | Cost | Max | |
| Velocity | 80 - 83 | 0 | 110 | ||
| Movement vs. RHB | 0 | 0 | 115 | ||
| Movement vs. LHB | 0 | 0 | 115 | ||
| Control vs. RHB | 0 | 0 | 115 | ||
| Control vs. LHB | 0 | 0 | 115 | ||
| Stamina | 0 | 0 | 115 | ||
| Holding Runners | 0 | 0 | 115 | ||
| Fastball Rating | 0 | 0 | 115 | ||
| Pitch 2 | |||||
| Pitch 2 Rating | 0 | 0 | 115 | ||
| Pitch 3 | |||||
| Pitch 3 Rating | 0 | 0 | 115 | ||
| Pitch 4 | |||||
| Pitch 4 Rating | 0 | 0 | 115 |
Knuckleball Pitch Skill:
1-40: 1 TPE Per Point
40-50: 2 TPE Per Point
50-60: 4 TPE Per Point
60-70: 8 TPE Per Point
70-80: 10 TPE Per Point
80-90: 15 TPE Per Point
90-105: 20 TPE Per Point
Pitching Velocity
Due to the nature of the attribute, velocity has a separate scale that is simple to follow but different.
Current Velocity Range________TPE Cost for next level
80 - 83________30 TPE
83 - 85________30 TPE
84 - 86________30 TPE
85 - 87________30 TPE
86 - 88________30 TPE
87 - 89________30 TPE
88 - 90________30 TPE
89 - 91________50 TPE
90 - 92________50 TPE
91 - 93________50 TPE
92 - 94________50 TPE
93 - 95________50 TPE
94 - 96________50 TPE
95 - 97________75 TPE
96 - 98________75 TPE
97 - 99________75 TPE
98 - 100_______75 TPE
99 - 101_______75 TPE
100+__________Max Velocity


Did Pheidippides Run a Marathon?
To many of the general public any road race from 10km upwards is called a "marathon". The word "marathon"
has permeated everyday language to such an extent that any long drawn-out activity is now colloquially described
as a "marathon". All this because a runner in Ancient Greece ran from Marathon to Athens and then collapsed
and died. Or did he?
The famous legend that gave rise to the idea of the modern marathon is that a runner called Pheidippes was said
to have run from Athens to Sparta to ask for help against the invading Persians armies. It was the year 490BC
and the Persian king was determined to crush the Greek city states that had been supporting Grecian enclaves within
his empire in resisting his rule. The Spartans were unwilling to help the Athenians for religious reasons so Pheidippides
returned to Athens before joining the Athenian army on its journey to Marathon. The Athenians won the Battle of
Marathon against the Persian host and Pheidippides was sent to carry the message back to Athens. On reaching the
city the exhausted runner could only gasp out the words, `Rejoice, we conquer,' before he collapsed and died. It
was this legend that inspired Pierre de Coubertin, founder of the modern Olympic Games, to include a race from
Marathon to Athens in the first Olympics in 1896.
So much for the myth. But what is the truth? Was there really a Pheidippides? Who was he and what did he actually
do?
The runner seems to have been a real person, but his name was probably not Pheidippides at all, but rather Philippides,
which in ancient Greek means "the son of a lover of horses." Later Greek writers may have thought such
a name was unsuitable for one of Greek's greatest heroes and changed it slightly.
The great Greek historian, Herodotus, records some details about the runner. He says that the Athenian generals,
before setting out for the Battle of Marathon, sent for "a herald, Philippides, an Athenian, a hemerodromes
and an expert at it…After being sent at this time by the generals, this Philippides reached Sparta on the second
day out from Athens."
Philippides was therefore a hemerodromes or hemerodromos, which in ancient Greek means a day runner, a runner who
would run for a day or more. Such runners were used as messengers over the mountainous terrain of Greece.
They were "young men but recently out of their childhood, like those that wear their first downy growth of
beard. Nought take they with them save bow and arrow, spear and sling, for these things are found to be of great
service to their course." Such weapons would have been essential to ward off the wolves, wild bears and robbers
that inhabited the Grecian mountains. It would seem likely that Philippides was older than most hemerodroi because
he is described as being an expert.
He is said to have arrived at Sparta on the second day, that is within 48 hours. The two cities were said by various
ancient Greek sources to be some 1,200 stades apart (a stade being about 200 yards,) which would make the distance
about 136.3 miles/ 219.3km Prior to a run from Athens to Sparta by a group of Royal Air Force runners, John
Foden, aided by Colonel N. Hammond, a former Cambridge history professor, studied the possible routes taken by
Philippides. (It was this RAF run which inspired the present day Spartathlon race over the same course, beginning
in 1983.)
Foden and Hammond took account of the writings of near contemporaries like Herodotus, and of the political relationships
of the various states, for several were allies of the Persians.
Their scenario for Philippides' run went something like this: He left Athens at daybreak and ran along the undulating
Sacred Way to Eleusis, and then by way of the Coastal Scironian Way from Megara to Corinth. His journey would then
have led him through fairly flat, fertile country and thence along the river through the Zapartis Valley. Rocky,
stony paths followed which would have led eventually to the top of the Pathenian mountain range. The remainder
of his run is uncertain. He might have run across the hostile territory of Argos but this would have meant taking
in six ranges of foothills and five rivers, or perhaps taking a flatter but still undulating route before the final
downhill to Sparta. Such a journey is reckoned by modern-day measurements to be some 155 miles/250km. Philippides
is reputed to have completed his run in less than 48 hours, probably in less than 41-42 hours - the time from sunrise
on the first day to sunset on the second. That is far from impossible for an expert long distance runner, for all
the 15 finishers in the first Spartathlon, unfamiliar with the course, finished inside 36 hours.
So Philippides' run from Athens to Sparta would seem to be a matter of historical record. But the same cannot be
said for the dramatic tale of the runner's last journey on foot from Marathon to Athens and his subsequent death.
Modern Greek scholars, having examined the various sources, have come to the conclusion that this is a later addition
to the story.
Herodotus, a near contemporary of Philippides, who lived from 484 to 425BC, would have been able to get information
from elderly veterans of the Battle of Marathon. He does not mention Philippides or anyone else running from Marathon
to Athens. Not until five hundred years later is the second run added to the story, and then only one of the writers
says that it was Philippides who made the journey; others mention a Eucles and a Thersippus! It was not unknown
for long distance runners to collapse and die after an arduous run. Woolley Morris and Gryffydd Morgan, two of
the best British 10 mile runners of the eighteenth century, were two such fatalities. However the demise of a runner
after reaching his goal was not an uncommon addition to earlier Greek stories by writers re-telling them in the
Roman period. As well as the famous Marathon to Athens episode, one Euchidas was also said to have collapsed and
died after a run from Platea to Delphi and back.
Thus it looks very much as if the whole story of the run from marathon to Athens is just a late invention to add
dramatic interest to a notable ultramarathon run, and that the first run from Marathon to Athens took place not
in 490 BC but in 1896 AD.
Andy Milroy
Sources
The Hemerodromoi : Victor J. Matthews
The Marathon Footrace : Roger Gynn and David Martin
The Long Distance Record Book : Andy Milroy
The Pheidippides Route : Mike Callaghan


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Eifel Marathon
Waxweiler GER
Website: www.eifelmarathon.de
Race Winners
(19 runnings)
10 Jun
2007
11 Jun
2006
12 Jun
2005
23 May
2004
01 Jun
2003
12 May
2002
27 May
2001
03 Jun
2000
1999
1998
Notes: 1998 was the inaugural year. The race was held in nearby Biersdorf
thru 2005.
11 Jun
2017
---
to be held
---
to be held
12
Jun
2016
2:48:14
Andreas Probst (GER)
3:19:25
Silke Pfenningschmidt (GER)
14
Jun
2015
2:56:06
Markus Mey (GER)
3:48:52
Marion Braun (GER)
15
Jun
2014
3:23:33
Stephan Peters (GER)
3:37:59
Martina Greiml-2
09
Jun
2013
2:46:57
Alexander Dackiw-4
3:53:05
Silke Kaliner (GER)
10 Jun
2012
2:50:23
Alexander Dackiw-3
3:26:05
Annette Geiken (GER)
2011
---
n/a
---
n/a
13 Jun
2010
2:52:51.2
Alexander Dackiw-2
3:45:06.4
Sandra Littig (GER)
14 Jun
2009
2:46:14.4
Alexander Dackiw (GER)
3:35:54.2
Agnes Croon (GER)
08 Jun
2008
2:56:28.8
Bernd Smolka (GER)
3:33:14.5
Martina Greiml (GER)
2:49:51
Helmut Peters (GER)
3:32:03
Rebecca Gallaher (WA/USA)
2:47:26
Yevgeniy Agapov-2
3:29:11
Claudia Schwan (GER)
2:50:26
Yevgeniy Agapov (RUS)
3:18:51
Petra Knops (NED)
2:41:16
Rainer Muller-2
3:17:34
Heidi Schneider (GER)
2:42:07
Rainer Muller (GER)
3:18:44
Birgit Lennartz-2
2:47:38
Helmut Peters-2
---
n/a
2:43:08
Helmut Peters (GER)
3:03:14
Birgit Lennartz (GER)
---
n/a
---
n/a
---
n/a
---
n/a
---
n/a
---
n/a
Most Wins
(1998/date)
Men
4
Alexander Dackiw (GER)
2009-10,2012-13
Women
2
Birgit Lennartz (GER)
2001,2003
Martina Greiml (GER)
2008,2014
Prize Money (ADR qualified runners)
No information on prize money has been received for this race.
Race Time Bias
(sec/km)
Insufficient data to calculate the race time bias.
Competitive Level
(1990-date)
Insufficient data to calculate the competitive level.
Quality Performances
Men no men under 2:20 Women no women under 2:50
Finishers
Year Men Women M+F 2016 78 20 98 2015 103 20 123 2014 76 18 94 2013 76 23 99 2012 120 32 152 2011 2010 126 23 149 2009 144 2008 146 24 170 2007 123 18 141 2006 143 26 169 2005 156 34 190 2004 295 2003 301 2002 319 Sum 2444 Sums 1147 238 1385 M/F 4.82
Last Updated on 24 Jul 2016
Contributor: Klaas Loonstra (26)


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Eagles Defense Celebrates Turnover With Team Photo Down 17-3 In 4th Quarter (VIDEO)
by Darrelle LincolnThe Philadelphia Eagles are on their way to being 5-6 on the season and the team’s offense decided to not show up in their game against the Seattle Seahawks.
Late in the 4th quarter, the team’s defense recovered a fumble and proceeded to run to the end zone and celebrate with a team photo.
The Eagles were down 14 points with a little over 9 minutes to go in the game.


Psalms 103:10
He hath not dealt with us after our sins; nor rewarded us according to our iniquities.


|
Earthquake!
Maggie had never experienced an earthquake before, only prepared for it. As long as she could remember, preparing for an earthquake was routine at school. Her family as well had made plans in the event of a natural disaster. Living on the west coast of the United States was earthquake country. However, it was not the same. Today Maggie was home alone. Her mind focused on her parents and what could be happening to them. Maggie knew her mom would be driving home on the busy, congested freeway. Her mind was preoccupied with preparing supper for Maggie's dad. Maggie's dad was due to arrive at the airport. He was coming home from a two week business trip. Maggie arrived home from school at the regular time. She was grabbing a snack from the almost bare pantry, when she felt it. First just a tremor, then the violent shaking. Maggie quickly scurried under the large, oak table in the dining room. The sounds of breaking glass and the crashing of numerous items was deafening. The table remained intact, and Maggie hugged herself in fear. Her mind focusing on her parents and what apparent danger they might be in. After what seemed like an eternity the earthquake appeared to be over. Maggie could hear the sound of water rushing below her in the basement. The smell of natural gas was present in the air. Maggie knew where the main water valve was located. Dad had shown her where it was and how to turn it off. Slowly and cautiously she came out from under the table. The once tidy ranch home was now almost unrecognizable. Walls had toppled over and electric sparks were shooting from the outlets. As Maggie approached the open basement door she could see the steps were still intact. Carefully holding the handrail she made her way down into the dark basement. While still on the steps she felt the water rising and rising. Placing her feet firmly on the floor Maggie felt a sudden surge of pain as a large ceiling beam hit her head and shoulder. She fell unconscious onto a pile of storage boxes..... |
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The barn is dusty. And cold. It’s winter at The Nature Conservancy’s (TNC) Platte River Prairies near Alda, Neb. Chris Helzer orients a group of staff and volunteers to the day’s task: mixing seed for grassland restoration.
He explains they’ll be keeping track of how many of each seed species they put into the mix so they’ll be able to see how various mixes work over time.
“We'll start with the mixes we made from last year that we didn't use all of,” he said, standing in front of a wall of brown paper grocery bags filled with seeds the group gathered by hand and with machines in summer and fall.
“And then we'll add this year's stuff to it, we'll stir it all up and then this afternoon we'll go dump some of it on the ground and make good prairie,” said Helzer, TNC’s eastern Nebraska program director.
Quickly folks get to work, relaying names and amounts to Helzer, who records them, before they dump the seeds onto a growing pile on the cement floor. Soon it becomes a prairie litany: Goldenrod. Sunflower. Black-eyed Susan. Roses. Rosinweed.
Nebraska used to be a sea of grass. After two centuries of heavy human development, a mere fraction of original prairie along the central Platte is left.
“Along the Platte River, because of the really good irrigated soil for agriculture, we've lost a lot of the grasslands that used to be here,” Helzer said.
The Nature Conservancy owns about 2500 acres between Grand Island and Kearney. More than half is former cropland they’ve restored to high diversity prairie containing more than 200 plant species. The rest, including what they’re planting today, is what Helzer calls “remnant prairie,” native prairie that has been used for pasture and, as a result, lost a lot of native plant species.
“Kind of a combination of chronic overgrazing and a lot of broadcast herbicide use,” Helzer said. “And so this is a way to bump up that plant diversity,” an important factor in habitat quality.
Helzer, a trained ecologist, focuses much of his work on creating healthy grasslands.
“Because they have a really diverse mixture of plants and invertebrates, they provide sort of the background functioning that everything else relies on, whether that's pollination, seed dispersal, soil microbe activity, all of those things,” Helzer said.
And that chain of support makes the ecosystem more resilient. Helzer said supporting grassland species—from plants to butterflies to birds—requires enough habitat to allow for robust populations.
“So a lot of the work that we're doing is aimed at trying to maximize the space that we have, trying to take small isolated patches of grasslands and make them bigger and more connected by doing restoration in the gaps in-between,” Helzer said.
By now the seed pile is waist-high. The air fills with clouds of dust and pollen as staff and volunteers use shovels to mix the pile and load the seed mix into big 30-gallon drums. After lunch, the team hauls them out to a field and fills a seed-spreader attached to an ATV.
The Nature Conservancy is one of several conservation groups working to restore and create habitat for endangered species and other plants and animals along the central Platte River. Like other conservation groups, the Nature Conservancy also uses prescribed burns and grazing to manage habitat and improve ecosystem health.
Helzer has been part of the Platte River conservation community for close to 20 years, and said he’s seen a lot of progress. There’s more restored habitat: grasslands, wetlands, wooded areas, open river sandbars. One strength of this conservation coalition is each group has a different, but connected, focus, Helzer said.
“The two things that the Conservancy really focuses on in Nebraska right now is grasslands and rivers. Sandhill cranes need grasslands for the feeding and loafing that they do while they're here, grassland birds that are a priority for Audubon and Crane Trust use grasslands that we have,” Helzer said.
While some private landowners still oppose land acquisition and efforts by conservation groups, others see benefits in working toward common interests like increased grazing and improved hunting areas. That collaboration is important, Helzer said, “because we need water for irrigation, we need water for drinking, but we need water for crane habitat and for fish. Those discussions about how to balance all those needs are going to have to continue forever, as far as I can tell.”
As the last of the seeds drop to the ground, the day’s activity winds down. But Helzer said there’s no end to the work.
“I don't think we'll ever be able to step away from the river. But I don't think that means that conservation groups have to be the ones that are in control,” Helzer said. “The landowners, the communities around, and the conservation groups all together are the ones that should be making the decisions about how the river should be managed.”
The Nature Conservancy's Dahms/Derr Complex along the Central Platte River has changed dramatically in the last 50 years. In the middle of the century, the south channel of the Platte River was lined with trees. By the 1980s, the stream had been converted to an open sandpit lake operation. In 2011, The Nature Conservancy worked to restore the area to open habitat, with meandering channels and backwater wetlands.
Read more of that story here.


There are special characters that add meaning to a query: * + - ( ) and quotes to mark a phrase.
Examples of the use of special characters and their meaning:
Use * as a wildcard
Use - to start a term to negate (i.e., not search)
As an example tying all of this together, a user looking for people's descriptions or biographies that mention voting and at least one of SNCC or CORE or SCLC could check the appropriate fields above, select "Chosen Fields" to the right of the query box, and issue as a query this text:
vot* + (SNCC | CORE | SCLC)
The default search behavior is to match all terms, so the more terms you add, the more precise your query and the fewer documents will be returned. Search in the Digital Archive makes use of Azure Search with a Lucene-based query parser called simple query. For details, visit the Simple Query Parser documentation (note: this page is outside of the Digital Archive). In Azure Search, the simple query syntax excludes the fuzzy/slop options.
Separate fields can be searched within biographies. As with the biography results per page, i.e., people per page, setting, once you change the search field it remains at your choice until you change it again, so be aware if you are searching into just last names, just preferred names, or the "chosen" fields (i.e., the ones you checked in boxes above) as told to you by the interface.
There are two types of searches in the Digital Archive:
From the Maker Directory page, you will see a set of HistoryMakers. You can issue a search for HistoryMakers, i.e., within the biography details, to see a resulting set of people. You can also control how the results are sorted along with the page size.
From the Home page, you can issue a search and see a resulting set of stories. It has its own advanced search capability as well.


Recipe 18.2. Removing Duplicates from a Sequence While Maintaining Sequence OrderCredit: Alex Martelli ProblemYou have a sequence that may include duplicates, and you want to remove the duplicates in the fastest possible way. Moreover, the output sequence must respect the item ordering of the input sequence. SolutionThe need to respect the item ordering of the input sequence means that picking unique items becomes a problem quite different from that explored previously in Recipe 18.1. This requirement often arises in conjunction with a function f that defines an equivalence relation among items: x is equivalent to y if and only if f(x)==f(y). In this case, the task of removing duplicates may often be better described as picking the first representative of each resulting equivalence class. Here is a function to perform this task: # support 2.3 as well as 2.4 try: set except NameError: from sets import Set as set # f defines an equivalence relation among items of sequence seq, and # f(x) must be hashable for each item x of seq def uniquer(seq, f=None): """ Keeps earliest occurring item of each f-defined equivalence class """ if f is None: # f's default is the identity function f(x) -> x def f(x): return x already_seen = set( ) result = [ ] for item in seq: marker = f(item) if marker not in already_seen: already_seen.add(marker) result.append(item) return result DiscussionThe previous Recipe 18.1 is applicable only if you are not concerned about item ordering or, in other words, if the sequences involved are meaningful only as the sets of their items, which is often the case. When sequential order is significant, a different approach is needed. If the items are hashable, it's not hard to maintain sequence order, keeping only the first occurrence of each value. More generally, we may want uniqueness within equivalence classes, as shown in this recipe's Solution: the uniquer function accepts as an argument a function f that must return hashable objects, such that f(x)==f(y) if and only if items x and y are equivalent. Identity (in the mathematical sense, not in the Python sense) is used as the default when no argument f is supplied. The added generality of allowing an f different from the identity function costs no added complication whatsoever. If you need to keep the last occurrence, rather than the earliest occurrence, of an item in each equivalence class, the simplest approach is to reverse the input sequence (or, rather, a copy thereof into a local list, since the input might be immutable or at any rate not support reversing), then, after processing with uniquer, reverse the resulting list: def uniquer_last(seq, f=None): seq = list(seq) seq.reverse( ) result = uniquer(seq, f) result.reverse( ) return result In Python 2.4, instead of the first three statements of this version of uniquer_last, you could use the single statement: result = uniquer(reversed(seq), f) exploiting the new built-in reversed. However, this Python 2.4 version, while marginally faster, is less general, because it does require seq to be really a sequence, while the previously shown version (and the uniquer function in the "Solution") work with any iterable seq. For example: somelines = uniquer_last(open('my.txt'), str.lower) binds name somelines to the list of unique lines from text file my.txt, considering two lines equivalent if they're equal aside from uppercase and lowercase distinctions, picking the last occurring one from each set of equivalent lines, and preserving the order of the lines in the file (phew). If you used Python 2.4's built-in reversed, this latest snippet would not work, due to reversed's prerequisites. If you must deal with nonhashable items, the simplest fallback approach is to use a set-like container that supports the add method and membership testing without requiring items to be hashable. Unfortunately, performance will be much worse than with a real set. Here's the simplest fallback implementation, which demands of items nothing but support for equality testing: def uniquer_with_simplest_fallback(seq, f=None): if f is None: def f(x): return x already_seen = set( ) result = [ ] for item in seq: marker = f(item) try: new_marker = marker not in already_seen except TypeError: class TotallyFakeSet(list): add = list.append already_seen = TotallyFakeSet(already_seen) new_marker = marker not in already_seen if new_marker: already_seen.add(marker) result.append(item) return result A more refined approach would be to use two levels of fallback, the intermediate one based on sorting, as shown previously in Recipe 18.1 testing in a sorted list can be performed efficiently by using the Python Standard Library module bisect. However, remember that you can often use an f that gives you hashable markers for nonhashable items. The built-in function repr can often be useful for this purpose. For example: lol = [ [1, 2], [ ], [1, 2], [3], [ ], [3, 4], [1, 2], [ ], [2, 1] ] print uniquer(lol, repr) # emits: [[1, 2], [ ], [3], [3, 4], [2, 1]] While the items of lol are lists, and thus are not hashable, the built-in function repr produces representations of each of the items as a string, which is hashable. This enables use of the fast function uniquer. Unfortunately, repr is not useful for nonhashable items of other types, including dict and set. Because of the workings of hash-collision resolution, it's quite possible to have d1==d2 and yet repr(d1)!=repr(d2) for two dictionaries d1 and d2, depending on the exact sequences of adds that built each dict. Still, you may be able build your own repr-like function to work around these issues, depending on the exact nature of your data. Whether repr can help for instances of a certain user-defined type depends on how accurately and usefully that specific type defines special method _ _repr_ _, which repr calls. The task of picking one representative item, out of all of those belonging to each equivalence class, can be generalized. Instead of the simple ideas of implicitly picking the first such item, or the last such item, we can choose among multiple items in the same equivalence class via an arbitrary picking function p that considers both the actual items and their indexes of occurrence. As long as function p can operate pairwise, the key idea is just to keep a dictionary that maps the marker of each equivalence class to the index and item of the representative so far picked for that class. At the end, we reconstruct sequence order by sorting on the indices: def fancy_unique(seq, f, p): """ Keeps "best" item of each f-defined equivalence class, with picking function p doing pairwise choice of (index, item) """ representative = { } for index, item in enumerate(seq): marker = f(item) if marker in representative: # It's NOT a problem to rebind index and item within the # for loop: the next leg of the loop does not use their binding index, item = p((index, item), representative[marker]) representative[marker] = index, item # reconstruct sequence order by sorting on indices auxlist = representative.values( ) auxlist.sort( ) return [item for index, item in auxlist] It's possible that the picking function cannot operate pairwise, but rather must be presented with the whole bunch of (index, item) pairs for each equivalence class in order to pick the best representative of that class (e.g., it may have to get the median of the items in each class as being the best representative of that class). Then we need one pass over the sequence to collect the bunches, followed by a pass over the bunches, to pick the representatives: def fancier_uniquer(seq, f, p): """ Keeps "best" item of each f-defined equivalence class, with picking function p choosing appropriate (index, item) for each equivalence class from the list of all (index, item) pairs in that class """ bunches = { } for index, item in enumerate(seq): marker = f(item) bunches.setdefault(marker, [ ]).append((index, item)) auxlist = [p(candidates) for candidates in bunches.values( )] auxlist.sort( ) return [item for index, item in auxlist] These fancy approaches that rely on a picking function are useful only for substantial equivalence functions, not for identity, so I removed f's default value from these versions. An example of use for fancy_unique may help. Say we're given a list of words, and we need to get a sublist from it, respecting order, such that no two words on the sublist begin with the same letter. Out of all the words in the "or"iginal list that begin with each given letter, we need to keep the longest word and, in case of equal lengths, the word appearing later on the list. This sounds complicated, but with fancy_unique to help us, it's really not that bad: def complicated_choice(words): def first_letter(aword): return aword[0].lower( ) def prefer((indx1, word1), (indx2, word2)): if len(word2) > len(word1): return indx2, word2 return indx1, word1 return fancy_unique(words, first_letter, prefer) The prefer nested function within complicated_choice is simplified because it knows fancy_unique always calls it with indx2<indx1. So, the older indx2, word2 pair must be returned only when word2 is longer than word1; otherwise, indx1, word1 is always the proper result. The automatic tuple unpacking in prefer's signature is debatable, stylewise, but I like it (it reminds me of SML or Haskell). Out of all the general programming techniques presented in the various functions of this recipe, the idea of writing higher-order functions, which organize a computation and appropriately call back to functions that they receive as arguments, is easily the most precious and widely applicable concept. This idea is well worth keeping in mind in several circumstancesnot just for old Haskell-heads, because it works just as well in Python. See Also |


| < Day Day Up > |
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[B]
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[D]
[E]
[F]
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[I]
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queries analysis execution EXPLAIN output [See EXPLAIN command] hashing of index-only queries optimization parsing preventing caching processing using the wrong index whitespace in query barrels query cache query_cache_type query optimization versus server tuning query optimizer 2nd data, insufficient diversity in full-text versus LIKE impossible queries index-based ordering query performance influencing with hints index usage join order query cache result sizes slow queries, identifying tricks for improving two queries instead of one unions versus ORs |
| < Day Day Up > |


Index
B E F I L M O R S
All Classes|All Packages
All Classes|All Packages
All Classes|All Packages
B
- BasicEither<L,R> - Class in io.vulpine.lib.iffy.impl
- BasicEither(L, R) - Constructor for class io.vulpine.lib.iffy.impl.BasicEither
- BasicProvider - Class in io.vulpine.lib.iffy.impl
- BasicProvider() - Constructor for class io.vulpine.lib.iffy.impl.BasicProvider
E
- either(L, R) - Static method in class io.vulpine.lib.iffy.EitherFactory
- Either<L,R> - Interface in io.vulpine.lib.iffy
- EitherFactory - Class in io.vulpine.lib.iffy
-
EitherFactory is a customizable constructor for Either implementations.
- EitherProvider - Interface in io.vulpine.lib.iffy
-
The definition of a provider that is used to construct left or right Either instances.
- EitherUnwrapException - Exception in io.vulpine.lib.iffy
-
Exception for the case when an Either instance is unwrapped for a value of the incorrect side.
- EitherUnwrapException(String) - Constructor for exception io.vulpine.lib.iffy.EitherUnwrapException
F
- fold(Function<L, X>, Function<R, X>) - Method in interface io.vulpine.lib.iffy.Either
-
Applies
fnl
to the left value of this either if this is a left either and returns the result or appliesfnr
to the right value and returns the result. - fold(Function<L, X>, Function<R, X>) - Method in class io.vulpine.lib.iffy.impl.BasicEither
I
- io.vulpine.lib.iffy - module io.vulpine.lib.iffy
- io.vulpine.lib.iffy - package io.vulpine.lib.iffy
- io.vulpine.lib.iffy.impl - package io.vulpine.lib.iffy.impl
- isLeft() - Method in interface io.vulpine.lib.iffy.Either
-
Returns whether this Either is left.
- isLeft() - Method in class io.vulpine.lib.iffy.impl.BasicEither
- isRight() - Method in interface io.vulpine.lib.iffy.Either
-
Returns whether this Either is right.
- isRight() - Method in class io.vulpine.lib.iffy.impl.BasicEither
L
- left() - Method in interface io.vulpine.lib.iffy.Either
-
Returns an option which will contain a value if this Either is left, else will be empty.
- left() - Static method in exception io.vulpine.lib.iffy.EitherUnwrapException
- left() - Method in class io.vulpine.lib.iffy.impl.BasicEither
- left(L) - Static method in class io.vulpine.lib.iffy.EitherFactory
- left(L) - Method in interface io.vulpine.lib.iffy.EitherProvider
- left(L) - Method in class io.vulpine.lib.iffy.impl.BasicProvider
- leftOr(L) - Method in interface io.vulpine.lib.iffy.Either
-
Returns either the left value of this Either (if it is a left Either) or the given alternate value.
- leftOr(L) - Method in class io.vulpine.lib.iffy.impl.BasicEither
- leftOrGet(Supplier<L>) - Method in interface io.vulpine.lib.iffy.Either
-
Returns either the left value of this Either (if it is a left Either) or the value returned by the given function.
- leftOrGet(Supplier<L>) - Method in class io.vulpine.lib.iffy.impl.BasicEither
- leftOrThrow() - Method in interface io.vulpine.lib.iffy.Either
-
Returns either the left value of this Either (if it is a left Either) or throws an
EitherUnwrapException
. - leftOrThrow() - Method in class io.vulpine.lib.iffy.impl.BasicEither
- leftOrThrow(Supplier<E>) - Method in interface io.vulpine.lib.iffy.Either
-
Returns either the left value of this Either (if it is a left Either) or throws the exception returned by calling the given Supplier.
- leftOrThrow(Supplier<E>) - Method in class io.vulpine.lib.iffy.impl.BasicEither
M
- mapLeft(Function<L, N>) - Method in interface io.vulpine.lib.iffy.Either
-
Returns a new Either with the left type mapped to
Either
. - mapLeft(Function<L, N>) - Method in class io.vulpine.lib.iffy.impl.BasicEither
- mapRight(Function<R, N>) - Method in interface io.vulpine.lib.iffy.Either
-
Returns a new Either with the right type mapped to
Either
. - mapRight(Function<R, N>) - Method in class io.vulpine.lib.iffy.impl.BasicEither
O
- ofEither(L, R) - Static method in interface io.vulpine.lib.iffy.Either
-
Returns an either wrapping one of
lVal
orrVal
. - ofLeft(L) - Static method in interface io.vulpine.lib.iffy.Either
-
Returns a new left Either wrapping the given value.
- ofRight(R) - Static method in interface io.vulpine.lib.iffy.Either
-
Returns a new right Either wrapping the given value.
R
- resetProvider() - Static method in class io.vulpine.lib.iffy.EitherFactory
-
Resets the provider for new Either instances to the default value.
- right() - Method in interface io.vulpine.lib.iffy.Either
-
Returns an option which will contain a value if this Either is right, else will be empty.
- right() - Static method in exception io.vulpine.lib.iffy.EitherUnwrapException
- right() - Method in class io.vulpine.lib.iffy.impl.BasicEither
- right(R) - Static method in class io.vulpine.lib.iffy.EitherFactory
- right(R) - Method in interface io.vulpine.lib.iffy.EitherProvider
- right(R) - Method in class io.vulpine.lib.iffy.impl.BasicProvider
- rightOr(R) - Method in interface io.vulpine.lib.iffy.Either
-
Returns either the right value of this Either (if it is a right Either) or the given alternate value.
- rightOr(R) - Method in class io.vulpine.lib.iffy.impl.BasicEither
- rightOrGet(Supplier<R>) - Method in interface io.vulpine.lib.iffy.Either
-
Returns either the right value of this Either (if it is a right Either) or the value returned by the given function.
- rightOrGet(Supplier<R>) - Method in class io.vulpine.lib.iffy.impl.BasicEither
- rightOrThrow() - Method in interface io.vulpine.lib.iffy.Either
-
Returns either the right value of this Either (if it is a right Either) or throws an
EitherUnwrapException
. - rightOrThrow() - Method in class io.vulpine.lib.iffy.impl.BasicEither
- rightOrThrow(Supplier<E>) - Method in interface io.vulpine.lib.iffy.Either
-
Returns either the right value of this Either (if it is a right Either) or throws the exception returned by calling the given Supplier.
- rightOrThrow(Supplier<E>) - Method in class io.vulpine.lib.iffy.impl.BasicEither
S
- setProvider(EitherProvider) - Static method in class io.vulpine.lib.iffy.EitherFactory
-
Sets the provider for new Either instances to the given value.
All Classes|All Packages


STREET BLAST
Fife mum shot in chest with BB gun during gang bust-up involving her drug dealer sons
by John JeffayA MUM was shot in the chest with a BB gun during a gangland bust-up in the street involving her drug-dealing sons.
Shelagh Rashid, 47, was also struck with a golf club in the attack outside a busy pub.
A court heard Robert Speed, 36, drove his brother-in-law Ryan Brown, 22, and two others to return a mobile to two Rashid brothers when a row broke out in Kirkcaldy.
Prosecutor Ronnie Hay told the town’s sheriff court: “A loud bang was heard and the complainer said ‘I’ve been shot’.”
Ms Rashid collapsed and was rushed to the nearby Victoria Hospital.
A pellet found near the base of the neck was too dangerous to remove.
The court was told Speed clubbed Ms Rashid before returning to his Citroen Berlingo van for the gun, which he said he didn’t know was loaded.
One of the Rashids was also seen with a baseball bat near the Novar Bar.
Slamming the Sunday afternoon horror, Sheriff Jamie Gilchrist QC said: “This was gangsterism played out in public in broad daylight.”
Perth prisoner Speed admitted assault to severe injury and danger of life on August 4. He was jailed for three years and four months on Tuesday.


DrivingRouteServiceViaGoogleMapsApi
class DrivingRouteServiceViaGoogleMapsApi implements DrivingRouteService
Properties
| protected HttpClient | $httpClient | Instance of a PSR-7 http client. | |
| protected MessageFactory | $messageFactory | Instance of a PSR-7 Request and Response factory. |
Methods
Class constructor.
Calculate the order at which the given locations should be driven for the route to be the shortest possible.
Calculate all distances and times between multiple locations.
Calculate total cost of a route according to a given matrix, assuming waipoints are visited in order.
Create a location instance from its coordinate or name representation.
Create multiple location instances from their coordinate or name representation.
Helper function to generate all possible permutations of an array.
Details
at line 41
void
__construct(HttpClient $httpClient, MessageFactory $messageFactory)
Class constructor.
Inject the dependencies.
at line 56
array
optimizeForDistance(array $locations)
Calculate the order at which the given locations should be driven for the route to be the shortest possible.
The first location is assumed to be the fixed starting point.
Total time and distance of the optimized route is also returned.
at line 94
protected array
calculateMatrix(array $locations)
Calculate all distances and times between multiple locations.
at line 143
array
calculateRouteCost(array $waypoints, array $matrix)
Calculate total cost of a route according to a given matrix, assuming waipoints are visited in order.
at line 165
protected LocationInterface
makeLocation(mixed $location)
Create a location instance from its coordinate or name representation.
at line 181
protected array
makeMultipleLocations(array $locations)
Create multiple location instances from their coordinate or name representation.
at line 194
protected Generator
permutations(array $elements)
Helper function to generate all possible permutations of an array.


Baby blinded in one eye after sickening assault by woman in Falkirk
The baby suffered rib fractures, bleeding on the brain, a broken right wrist, fractures to the base of both big toes and a detached retina at the hands of Caroline Thomson.
by Wilma RileyA baby was blinded in one eye after a woman attacked him, a court heard yesterday.

The offence was committed on various occasions between May 2 and June 16 last year, when the boy was aged between three weeks and nine weeks, at addresses in Larbert, Stirlingshire, and Falkirk.
The baby suffered multiple rib fractures, bleeding on the brain, a broken right wrist, fractures to the base of both big toes and a detached retina, the High Court in Glasgow heard.
Prosecutor Kath Harper said: “The accused told the police the injuries may have been caused when she dropped the baby and said some of the injuries could have been caused by a two-year-old child.”
The court heard consultant ophthalmologist Jennifer Ann Gillen examined the boy’s eyes.
She said she had never seen a detached retina in a young baby and such an injury would require some form of blunt force trauma.
The boy, who is now 19 months old, can’t speak and is unable to walk, although he can crawl.
Judge Lady Rae remanded Thomson in custody and deferred sentence until next month.
Defence QC Bert Kerrigan will give his plea in mitigation then.


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DEAD ALIVE (1992) A Film Review by Ted Prigge Copyright 1997 Ted Prigge
Director: Peter Jackson Writers: Peter Jackson, Stephen Sinclair, and Frances Walsh (story by Stephen Sinclair) Starring: Timothy Balme, Diana Peņalver, Elizabeth Moody, Ian Watkin, Brenda Kendall, Stuart Devenie
New Zealand director Peter Jackson's film "Dead Alive" (a.k.a. "Braindead") gets major plus points for what may be the greatest single piece of gorefest ever put on celluloid. And he even gets plus points for making a great film even before it reaches its big climax with the aforementioned fest o' gore. After re-watching this after seeing his American debut, "The Frighteners," I could hardly believe it was the same director, and it wasn't just because there was a significant lack of gore, but because this film is so darkly comical and wild that it's just widly entertaining.
"Dead Alive" takes place in 50s New Zealand, and deals with the arrival of a Rat Monkey to the zoo there. After a trek there, and some good old limb-hacking, this dangerous Monkey, which turns whoever it bites into a flesh-hungry zombie, is put in a zoo cage, and after biting one woman, the film takes off on its surreal, and hysterical path, obviously leading to a giant climax (ahem, the gorefest).
 When he gains a love interest in the form of a hispanic general store clerk named Pequita (Diana Peņalver), she becomes insanely jealous, and is bitten by the rat monkey during her bit of eavesdropping on their zoo date.
Lionel does all he can to help his mother, who is decomposing every second, and is soon trying to eat the nurse. When he finds out what's going on, he tries to stop it, but, being the wimp he is, doesn't have the guts to ask anyone for help. Soon, he's keeping four zombies in his basement, trying to watch over them, even as he's loosing Pequita, and his obnoxious, oafish, John Goodman-looking Uncle Les (Ian Watkin) is making stakes on the mansion, which Lionel has accidentally given to him in the rush of things.
This, of course, brings us to the afore-afore-aforementioned gorefest.
And what a sight it is to behold. For over 30 minutes, we witness a large party being crashed by zombies, eventually turing everyone but an elite few into zombies, who have to fight together. We see decapitations, appendages being ripped apart, a man being cut in half by a rake, a zombie-chick's head being engulfed by a lightbulb, a zombie baby running around, and a man using a lawn-mower as a deadly weapon. It's one of the most enjoyable 30 minutes in a film...if you have the stomach for it.
"Dead Alive" features non-stop, no holds barred black humor, which makes this film totally bizarre, and nothing to take seriously at all. The film seems to mock old zombie flicks through the entire film. The zombies are always presented with a lot of comedy, including two of them having zombie-sex, and procreating a zombie baby. And the romantic subplot between Lionel and Pequita is handled with the utmost campiness.
The acting is also done with huge campiness. Timothy Balme has a great knack for the kind of quiet, shy hero who is too meek to let anyone know he has a group of zombies living in his basement, too attached to do away with his zombie mother, and too shy to let Pequita know why he has been ignoring her, as well as too weak to not let his Uncle Les take over the household. And Ian Watkin as Les steals the entire movie with his absolutely hysterical performance.
"Dead Alive" might not be a masterpiece, but it is one of the few frequently funny and wonderfully concously-campy horror films, and of course, it just elevates the gorefest to a work of art. And if you try to rent it, settle for nothing less than the unrated version.
MY RATING (out of 4): ***1/2
Homepage at: http://www.geocities.com/Hollywood/Hills/8335/
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
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Introduction to Nathan McLauchlan
Welcome to my page
This is the start of my journey to becoming a web developer.
Let's Go


Require()
.DependsOn("groom_myself", "walk_dog")
.Task("turn_off_alarm")
.Do(() => Console.WriteLine("Turned off alarm. So tempted to snooze..."))
.Task("make_coffee").DependsOn("turn_off_alarm")
.Do(() => Console.WriteLine("Made coffee."))
.Task("groom_myself").DependsOn("make_coffee")
.Do(() =>
{
Console.WriteLine("Brushed teeth.");
Console.WriteLine("Showered.");
Console.WriteLine("Shaved.");
})
.Task("walk_dog").DependsOn("make_coffee")
.Do(() => Console.WriteLine("Walked the dog."))
.Run();
Tasks can be defined in any order, can depend on any number of other tasks DependsOn("foo", "bar")
, can be referenced multiple times with multiple calls to Task("baz")
and can have multiple actions assigned to them with multiple calls to Do()
.
TIP: you can write any C# you like in your baufile. The scriptcs #load and #r features are both supported for loading scripts and referencing assemblies.


Hi everyone. This is lesson number twenty-two from a tutorial path on probability and in this lesson we study the uniform distribution.
If we have a random variable X that follow a uniform distribution, X follows the uniform distribution with parameters a and b. Here a and b are the lower and the upper limits of the values that the random variable X can take.
A uniform random variable is equally likely to take anybody between it's lower limit and it's upper limit. To explain that, I'm going to draw this graph.
This base of the rectangle has a length of b a.
Therefore, for (b-a)*height should give us an area equal to 1, which implies that h should be equal to 1/(b-a).
The value taken by the PDF after the uniform distribution, from the lower limit a to the upper limit b is 1/(b-a).
In other words, that's the PDF.
The PDF random variable that follows the uniform distribution a to b equal 1/(b-a), for values of X between a and b.
Now that we have the PDF, we're going to derive the CDF F(x).
Let me actually write it. The CDF is going to be... I'll show you how to get that. 0 if x<a. And it's equal to (x-a)/(b-a) if x is between a and b. It's 1 if x>b. That's the CDF.
We also show that the expected value is (b+a)/2 or (a+b)/2. That's actually the mid point. So it says, since the PDF is flat and constant, the expected value is going to be right at the middle of lower, between the lower limits and the upper limit, which is (a+b)/2 or (b+a)/2. The variance of the random variable X is going to be equal to (b-a)^2/12.
Finally, the MGF, the moment generating function of a uniform random variable, is equal to (e^(bt)-e^(at))/(b-a)t. The rest of this lesson is going to be showing you how to get this CDF, expected value, variance, and momentarily function.
Let's find the CDF.
CDF of a random variable X is equal to the probability that random variable X takes a value less than or equal to little x.
Let me actually draw that picture again so that I can explain things better. We have a here, b, uniform distribution takes any value between a and b, equally likely and height or the density function has a value equal to 1/(b-a).
When the value of X is less than the lower limit a, then the CDF is equal to zero.
The reason for that is there's no chance that the random variable X can take value less than little x if, little x is less than a. That is because X cannot take values less than a. That's equal to zero.
When X is between a and b, then the CDF is the integral from negative infinity to X of the PDF F(x) tx, but the PDF cannot take any value less than a. Instead of starting from negative infinity, I can set the lower limit of this integral to be a, so that I have integral from a to X of f(x) dX.
But f(x) is 1/(b-a), for values of X between a and b.
This is 1/(b-a) du. Now, this integral is equal to u/(b-a), lower limit a, upper limit X. When you plug in the upper limit and the lower limit you get X/(b-a)-a/(b-a). That is equal to X-a/(b-a).
That's the CDF for values of X between a and b. It turns out that the CDF...
what's the CDF at x is equal to b? The CDF at X equal to b if f(X,b). Plug in b in this equation.
Then you have (b-a)/(b-a) equals 1.
With that in mind, we can actually just write the CDF when X is greater than b.
When X is greater than b, the CDF is equal to 1. F(x) is equal to 1.
I could have actually found that CDF in a much easier way than the way I did with integrals.
If this is the point X, the probability that random variable X takes a value less than or equal to little x, is equal to the area of that rectangle. You really didn't need to do the integral.
If you calculate the area of that rectangle, the base has a value of (X-a)*height, which is 1/(b-a), that gives you (X-a)/(b-a).


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