assembly | Pythonic Object-Oriented Web Framework | Application Framework library
kandi X-RAY | assembly Summary
kandi X-RAY | assembly Summary
Assembly is a Pythonic Object-Oriented Web Framework built on Flask, that groups your routes by class
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
- Register a class .
- Signal decorator .
- Initialize application configuration .
- Upload a file .
- Initialize session .
- Decorator to register a route .
- Decorates an Assembly method .
- Register an application template .
- Redirect to the given endpoint .
- Generate view
assembly Key Features
assembly Examples and Code Snippets
public static NeuralNetwork assembleNeuralNetwork() {
Layer inputLayer = new Layer();
inputLayer.addNeuron(new Neuron());
inputLayer.addNeuron(new Neuron());
Layer hiddenLayerOne = new Layer();
hiddenLayerOne
mov eax, edi
add eax, 1
ret
mov eax, ecx
add eax, 1
ret
asm_function = (
b'\x8b\xc1' # mov eax, ecx
b'\x83\xc0\x01' # add eax, 1
b'\xc3' # ret
)
import xml.etree.ElementTree as ET
# Ensure that the proper prefix is used in the output (in this case, no prefix at all)
ET.register_namespace("", "http://maven.apache.org/plugins/maven-assembly-plugin/assembly/1.1.2")
tree = ET.parse
label.bind("", lambda x : check_button.toggle())
from tkinter import *
master = Tk()
l1 = Label(master, text = "Here...")
cb = Checkbutton(master)
l1.grid(row = 0, column = 0)
cb.grid(row = 0, column = 1, sticky=
for la, z2, z3 in zip(layers, lz2, lz3):
# first row
ABD[0][0] += la.Q̅11 * la.thickness # Hyer:1998, p. 290
ABD[0][1] += la.Q̅12 * la.thickness
ABD[0][2] += la.Q̅16 * la.thickness
ABD[0][3] +=
JavaScript: 3
C#: 9
Visual studio: 2
Docker: 4
Azure: 4
AngularJs: 2
Java: 3
Visual Studio: 5
tech_count = {'JavaScript': 3, 'Visual studio': 2, 'Visual Studio': 5, 'Javascript': 5}
consolidated = d
40: e8 3c d2 fe ff call 0xfffffffffffed281
mu.reg_write(UC_X86_REG_EBP, STACK_ADDRESS + 4096)
6a: 8b 44 8d a8 mov eax,DWORD PTR [ebp+ecx*4-0x58]
6e: 35 e7 5f 70 1a
Block 24:
cmp byte ptr [r8], 0x0 ; Read a[i]
jz ; Jump to block 27 if a[i]!=0
Block 25:
cmp byte ptr [r9], 0x0 ; Read b[i]
jz
@nb.njit('float64()')
def test():
return np.finfo(np.float64).eps
test() # Returns 2.220446049250313e-16
def pytest_addoption(parser):
parser.addoption("--myid", action="store", default="", help="Pass RunId To reuse it Later")
parser.addoption("--dontstore", action="store", default=False, help="Pass True if you'd like to persist when
Community Discussions
Trending Discussions on assembly
QUESTION
While testing things around Compiler Explorer, I tried out the following overflow-free function for calculating average of 2 unsigned 32-bit integer:
...ANSWER
Answered 2022-Mar-08 at 10:00Clang does the same thing. Probably for compiler-construction and CPU architecture reasons:
Disentangling that logic into just a swap may allow better optimization in some cases; definitely something it makes sense for a compiler to do early so it can follow values through the swap.
Xor-swap is total garbage for swapping registers, the only advantage being that it doesn't need a temporary. But
xchg reg,reg
already does that better.
I'm not surprised that GCC's optimizer recognizes the xor-swap pattern and disentangles it to follow the original values. In general, this makes constant-propagation and value-range optimizations possible through swaps, especially for cases where the swap wasn't conditional on the values of the vars being swapped. This pattern-recognition probably happens soon after transforming the program logic to GIMPLE (SSA) representation, so at that point it will forget that the original source ever used an xor swap, and not think about emitting asm that way.
Hopefully sometimes that lets it then optimize down to only a single mov
, or two mov
s, depending on register allocation for the surrounding code (e.g. if one of the vars can move to a new register, instead of having to end up back in the original locations). And whether both variables are actually used later, or only one. Or if it can fully disentangle an unconditional swap, maybe no mov
instructions.
But worst case, three mov
instructions needing a temporary register is still better, unless it's running out of registers. I'd guess GCC is not smart enough to use xchg reg,reg
instead of spilling something else or saving/restoring another tmp reg, so there might be corner cases where this optimization actually hurts.
(Apparently GCC -Os
does have a peephole optimization to use xchg reg,reg
instead of 3x mov: PR 92549 was fixed for GCC10. It looks for that quite late, during RTL -> assembly. And yes, it works here: turning your xor-swap into an xchg: https://godbolt.org/z/zs969xh47)
with no memory reads, and the same number of instructions, I don't see any bad impacts and feels odd that it be changed. Clearly there is something I did not think through though, but what is it?
Instruction count is only a rough proxy for one of three things that are relevant for perf analysis: front-end uops, latency, and back-end execution ports. (And machine-code size in bytes: x86 machine-code instructions are variable-length.)
It's the same size in machine-code bytes, and same number of front-end uops, but the critical-path latency is worse: 3 cycles from input a
to output a
for xor-swap, and 2 from input b
to output a
, for example.
MOV-swap has at worst 1-cycle and 2-cycle latencies from inputs to outputs, or less with mov-elimination. (Which can also avoid using back-end execution ports, especially relevant for CPUs like IvyBridge and Tiger Lake with a front-end wider than the number of integer ALU ports. And Ice Lake, except Intel disabled mov-elimination on it as an erratum workaround; not sure if it's re-enabled for Tiger Lake or not.)
Also related:
- Why is XCHG reg, reg a 3 micro-op instruction on modern Intel architectures? - and those 3 uops can't benefit from mov-elimination. But on modern AMD
xchg reg,reg
is only 2 uops.
GCC's real missed optimization here (even with -O3
) is that tail-duplication results in about the same static code size, just a couple extra bytes since these are mostly 2-byte instructions. The big win is that the a
path then becomes the same length as the other, instead of twice as long to first do a swap and then run the same 3 uops for averaging.
update: GCC will do this for you with -ftracer
(https://godbolt.org/z/es7a3bEPv), optimizing away the swap. (That's only enabled manually or as part of -fprofile-use
, not at -O3
, so it's probably not a good idea to use all the time without PGO, potentially bloating machine code in cold functions / code-paths.)
Doing it manually in the source (Godbolt):
QUESTION
While debugging a problem in a numerical library, I was able to pinpoint the first place where the numbers started to become incorrect. However, the C++ code itself seemed correct. So I looked at the assembly produced by Visual Studio's C++ compiler and started suspecting a compiler bug.
CodeI was able to reproduce the behavior in a strongly simplified, isolated version of the code:
sourceB.cpp:
...ANSWER
Answered 2022-Feb-18 at 23:52Even though nobody posted an answer, from the comment section I could conclude that:
- Nobody found any undefined behavior in the bug repro code.
- At least some of you were able to reproduce the undesired behavior.
So I filed a bug report against Visual Studio 2019.
The Microsoft team confirmed the problem.
However, unfortunately it seems like Visual Studio 2019 will not receive a bug fix because Visual Studio 2022 seemingly does not have the bug. Apparently, the most recent version not having that particular bug is good enough for Microsoft's quality standards.
I find this disappointing because I think that the correctness of a compiler is essential and Visual Studio 2022 has just been released with new features and therefore probably contains new bugs. So there is no real "stable version" (one is cutting edge, the other one doesn't get bug fixes). But I guess we have to live with that or choose a different, more stable compiler.
QUESTION
I'm reading "Computer Systems: A Programmer's Perspective, 3/E" (CS:APP3e) and the following code is an example from the book:
...ANSWER
Answered 2022-Feb-03 at 04:10(This answer is a summary of comments posted above by Antti Haapala, klutt and Peter Cordes.)
GCC allocates more space than "necessary" in order to ensure that the stack is properly aligned for the call to proc
: the stack pointer must be adjusted by a multiple of 16, plus 8 (i.e. by an odd multiple of 8). Why does the x86-64 / AMD64 System V ABI mandate a 16 byte stack alignment?
What's strange is that the code in the book doesn't do that; the code as shown would violate the ABI and, if proc
actually relies on proper stack alignment (e.g. using aligned SSE2 instructions), it may crash.
So it appears that either the code in the book was incorrectly copied from compiler output, or else the authors of the book are using some unusual compiler flags which alter the ABI.
Modern GCC 11.2 emits nearly identical asm (Godbolt) using -Og -mpreferred-stack-boundary=3 -maccumulate-outgoing-args
, the former of which changes the ABI to maintain only 2^3 byte stack alignment, down from the default 2^4. (Code compiled this way can't safely call anything compiled normally, even standard library functions.) -maccumulate-outgoing-args
used to be the default in older GCC, but modern CPUs have a "stack engine" that makes push/pop single-uop so that option isn't the default anymore; push for stack args saves a bit of code size.
One difference from the book's asm is a movl $0, %eax
before the call, because there's no prototype so the caller has to assume it might be variadic and pass AL = the number of FP args in XMM registers. (A prototype that matches the args passed would prevent that.) The other instructions are all the same, and in the same order as whatever older GCC version the book used, except for choice of registers after call proc
returns: it ends up using movslq %edx, %rdx
instead of cltq
(sign-extend with RAX).
CS:APP 3e global edition is notorious for errors in practice problems introduced by the publisher (not the authors), but apparently this code is present in the North American edition, too. So this may be the author's mistake / choice to use actual compiler output with weird options. Unlike some of the bad global edition practice problems, this code could have come unmodified from some GCC version, but only with non-standard options.
Related: Why does GCC allocate more space than necessary on the stack, beyond what's needed for alignment? - GCC has a missed-optimization bug where it sometimes reserves an additional 16 bytes that it truly didn't need to. That's not what's happening here, though.
QUESTION
Discussion about this was started under this answer for quite simple question.
ProblemThis simple code has unexpected overload resolution of constructor for std::basic_string
:
ANSWER
Answered 2022-Jan-05 at 12:05Maybe I'm wrong, but it seems that last part:
QUESTION
I made a bubble sort implementation in C, and was testing its performance when I noticed that the -O3
flag made it run even slower than no flags at all! Meanwhile -O2
was making it run a lot faster as expected.
Without optimisations:
...ANSWER
Answered 2021-Oct-27 at 19:53It looks like GCC's naïveté about store-forwarding stalls is hurting its auto-vectorization strategy here. See also Store forwarding by example for some practical benchmarks on Intel with hardware performance counters, and What are the costs of failed store-to-load forwarding on x86? Also Agner Fog's x86 optimization guides.
(gcc -O3
enables -ftree-vectorize
and a few other options not included by -O2
, e.g. if
-conversion to branchless cmov
, which is another way -O3
can hurt with data patterns GCC didn't expect. By comparison, Clang enables auto-vectorization even at -O2
, although some of its optimizations are still only on at -O3
.)
It's doing 64-bit loads (and branching to store or not) on pairs of ints. This means, if we swapped the last iteration, this load comes half from that store, half from fresh memory, so we get a store-forwarding stall after every swap. But bubble sort often has long chains of swapping every iteration as an element bubbles far, so this is really bad.
(Bubble sort is bad in general, especially if implemented naively without keeping the previous iteration's second element around in a register. It can be interesting to analyze the asm details of exactly why it sucks, so it is fair enough for wanting to try.)
Anyway, this is pretty clearly an anti-optimization you should report on GCC Bugzilla with the "missed-optimization" keyword. Scalar loads are cheap, and store-forwarding stalls are costly. (Can modern x86 implementations store-forward from more than one prior store? no, nor can microarchitectures other than in-order Atom efficiently load when it partially overlaps with one previous store, and partially from data that has to come from the L1d cache.)
Even better would be to keep buf[x+1]
in a register and use it as buf[x]
in the next iteration, avoiding a store and load. (Like good hand-written asm bubble sort examples, a few of which exist on Stack Overflow.)
If it wasn't for the store-forwarding stalls (which AFAIK GCC doesn't know about in its cost model), this strategy might be about break-even. SSE 4.1 for a branchless pmind
/ pmaxd
comparator might be interesting, but that would mean always storing and the C source doesn't do that.
If this strategy of double-width load had any merit, it would be better implemented with pure integer on a 64-bit machine like x86-64, where you can operate on just the low 32 bits with garbage (or valuable data) in the upper half. E.g.,
QUESTION
These two loops are equivalent in C++ and Rust:
...ANSWER
Answered 2022-Jan-12 at 10:20Overflow in the iterator state.
The C++ version will loop forever when given a large enough input:
QUESTION
While learning multithread programming I've written the following code.
...ANSWER
Answered 2021-Dec-23 at 22:36There are non-trivial race conditions between the increment of these different variables and when you read them. If you want strict ordering of these reads and writes you will have to use some sort of synchronization mechanism. std::atomic<> makes it easier.
Try this instead:
QUESTION
This question pertains to the ARM
assembly language.
My question is whether it is possible to use a macro to replace the immediate value in the ASM code to shift a register value so that I don't have to hard-code the number.
I'm not sure whether the above question makes sense, so I will provide an example with some asm
codes:
So there exist few instructions such as ror
instruction in the ARM
(https://developer.arm.com/documentation/dui0473/m/arm-and-thumb-instructions/ror), where it is possible to use a register value to rotate the value as we wish:
ANSWER
Answered 2021-Dec-16 at 19:08The ARM64 orr
immediate instruction takes a bitmask immediate, see Range of immediate values in ARMv8 A64 assembly for an explanation. And GCC has a constraint for an operand of this type: L
.
So I would write:
QUESTION
Well, I was doing a DDD project, specifically using redis, but I don't think that has anything to do with it.
The problem is, the swagger doesn't appear to me, it fails, but when I make requests in postman it works normally.
Thats the error:
...ANSWER
Answered 2021-Dec-15 at 15:11In my case, it was the SDK not running the proper net6.0 version.
While the whole project was using new net6.0 NuGet packages, the local SDK on that one machine I was working on was still net5.0. After installing .net6.0, Swashbuckle 6.2.3 was working again, and all was as expected.
QUESTION
I have written the following very simple code which I am experimenting with in godbolt's compiler explorer:
...ANSWER
Answered 2021-Dec-07 at 09:52The assembly seems to be checking if either num
or den
is larger than 2**32 by shifting right by 32 bits and then checking whether the resulting number is 0.
Depending on the decision, a 64-bit division (div rsi
) or 32-bit division (div esi
) is performed.
Presumably this code is generated because the compiler writer thinks the additional checks and potential branch outweigh the costs of doing an unnecessary 64-bit division.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install assembly
Install Assembly with pip install assembly. It is highly recommended to use a virtualenv, in this case let's use VirtualenvWrapper (you can use any that is convenient for you).
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page