I need to use the EqualsOps (===) from scalaz, but importing scalaz.Scalaz._ gives me a naming conflict with anorm's get method.
Here is the compilation error:
reference to get is ambiguous;
[error] it is imported twice in the same scope by
[error] import scalaz.Scalaz._
[error] and import anorm.SqlParser._
How can I bring === into scope without causing the conflict with anorm?
Remove import scalaz.Scalaz._
Assuming you are comparing primitives,
import scalaz._
import std.anyVal._
import syntax.equal._
If it is something else, say strings, replace std.anyVal._, with std.string._.
Essentially, the first line gives you the various scalaz types (if you don't want this, replace std with scalaz.std, and syntax with scalaz.syntax).
Line 2 gives you the implicit conversions for the primitives. That lets you treat primitives as Equal, or actually as any of the other scalaz typeclasses, (Monoid, etc.)
Line 3 gives you EqualOps, which enables you to use the === syntax with things that can be Equal.
Hope that helps
Related
I am trying to graph variable "u" versus variable "T" for 1<T<1000 (integers). However, the function I have includes both of the variables within an integral so I cannot create an isolated u=f(T) function. My thought process is to manipulate the function so that it is 0=f(T,u) and output a "u" value that minimizes f(T,u) for each T. However, I seem to be struggling a lot with how these variables and functions should be defined. All constants are defined and "E" should be defined through the integration step. The overall function I start with is:
5x10^28=integrate((pi/2)(8m/h^2)(E^0.5)(exp((E-u)/k*T)+1)^-1) from 0 to infinity and with respect to "E"
I am very new to python but the following code is how far I've been able to develop it based on previous forums and video tutorials. Any help is much appreciated!
from scipy.integrate import quad
import numpy as np
import matplotlib.pyplot as plt
import scipy.optimize as spo
m=9.11e-31
h=6.63e-34
k=1.38e-23
T=list(range(1,1001))
def f(E,u):
return (np.pi/2)*(8*m/(h**2))*(E**0.5)*(1/((np.exp((E-u)/k*T)+1)))
Func_Equal_Zero=quad(f,0,np.inf,args=(u,))[0]-5e-28
Start_Guess_T_u=[500,1e-5]
result=spo.minimize(Func_Equal_Zero,Start_Guess_T_u)
plt.plot(T,u)
plt.figure(figsize=(6,6))
plt.xlabel('Temperature (k)')
plt.ylabel('Chemical Potential (J)')
I expected that I could just define the functions including "u" but python does not seem to like what I have tried. I am not sure if any of my other syntax is not correct because I cannot get past its issue with defining "u".
I wanna training EfficientDet with PyTorch-Lightning,
but, i have a problem.
Most of those things were version error.
so, i matched version that model
from effdet.config.model_config import efficientdet_model_param_dict
from effdet import get_efficientdet_config, EfficientDet, DetBenchTrain
from effdet.efficientdet import HeadNet
from effdet.config.model_config import efficientdet_model_param_dict
when i imported effdet, i got runtime error like this
RuntimeError:
object has no attribute nms:
File "/home/ubuntu/anaconda3/envs/pytorch1.7.1_p37/lib/python3.7/site-packages/torchvision/ops/boxes.py", line 35
"""
_assert_has_ops()
return torch.ops.torchvision.nms(boxes, scores, iou_threshold)
~~~~~~~~~~~~~~~~~~~~~~~~~ <--- HERE
'nms' is being compiled since it was called from '_batched_nms_vanilla'
# Ideally for GPU we'd use a higher threshold
# keep only top max_det_per_image scoring predictions
batch_detections.append(detections)
return torch.stack(batch_detections, dim=0)
how to solve this problem?
i wanna modeling quickly...
also, this is version status
I'm trying to pickle functions with dill. I want to include the whole function and not just a reference to it. Here are my two files:
fun.py:
import dill
from foo import ppp
def qqq(me):
return me + 1
print(dill.dumps(ppp, protocol=4, recurse=True, byref=True))
print(dill.dumps(qqq, protocol=4, recurse=True, byref=True))
And foo.py
def qqq(me):
return me + 1
When I run fun.py I get the following output:
b'\x80\x04\x95\x0f\x00\x00\x00\x00\x00\x00\x00\x8c\x03foo\x94\x8c\x03ppp\x94\x93\x94.'
b'\x80\x04\x95\x90\x00\x00\x00\x00\x00\x00\x00\x8c\ndill._dill\x94\x8c\x10_create_function\x94\x93\x94(h\x00\x8c\n_load_type\x94\x93\x94\x8c\x08CodeType\x94\x85\x94R\x94(K\x01K\x00K\x01K\x02KCC\x08|\x00d\x01\x17\x00S\x00\x94NK\x01\x86\x94)\x8c\x02me\x94\x85\x94\x8c\x06fun.py\x94\x8c\x03qqq\x94K\x04C\x02\x00\x01\x94))t\x94R\x94}\x94h\rNN}\x94Nt\x94R\x94.'
I want to be able to make the first line of output be more similar to the second line, and actually encapsulate the function without the need for a context when reloaded later. Is there a way to do this?
Thanks so much!
James
If the module (foo) is installed on both computers, then there should be no need to do anything but import the function. So, I'll assume the question is in regard to a module that is only installed on the first machine.
It also depends on whether the module foo is "installed" on sys.path or is just available in the current directory. See:
https://github.com/uqfoundation/dill/issues/123
If it's only available in the current directory, either use dill to pickle the file itself or use something like dill.source.getsource to extract the source of the module as a string, and then transfer the string as a "pickle" (this is what ppft does).
Generally, however, dill pickles imported functions by reference, and thus assumes they are available on both sides of the load/dump.
In the "official" scala REPL I can do
scala> import util.Random
scala> util.Random.nextInt
res0: Int => -306696783
but in Ammonite-REPL I get
# import util.Random
cmd3.sc:1: object Random is not a member of pack ammonite.util
import util.Random
^
Compilation Failed
So right now I have to use the scala. prefix to make it work in Ammonite:
# import scala.util.Random
# scala.util.Random.nextInt
res1: Int = 503117434
I'm kind of new to Scala so I don't get why would ammonite use a different util than the (for me) "official" util, so I would appreciate if anyone can provide a rationale for this.
And more specifically, Is there any way to make util to be scala.util instead of ammonite.util?
It's not that Ammonite is replacing a different util library for the normal Scala one, it's that the Ammonite namespace has it's own util package which has a whole bunch of methods specific to Ammonite. Perhaps it would be nicer if the developer had chosen a different name for his package, but this is not an issue specific to Ammonite. It is something you will run into all the time. When there is a clash of namespaces, your only option is to fully qualify the package name for the one you want. So what you actually did is a fine solution. You can find more about this here.
And btw, since there is no util.Random in the Ammonite package you can do this after your import--I tested and this is a cut and paste from my terminal:
# Random.nextInt
res1: Int = 1045964363
When you do actually have a collision of method names, you can find a solution here
I'm trying to compile some D. The code that I've written uses the std.string library as well as std.algorithm. One of my functions calls indexOf on a string: unfortunately, apparently there's also a indexOf function in std.algorithm, and the compiler doesn't like it:
assembler.d(81): Error: std.algorithm.indexOf!("a == b", string, immutable(char)).indexOf at /usr/share/dmd/src/phobos/std/algorithm.d(4431) conflicts with std.string.indexOf!(char).indexOf at /usr/share/dmd/src/phobos/std/string.d(334)
assembler.d(81): Deprecation: function std.algorithm.indexOf!("a == b", string, immutable(char)).indexOf is deprecated
How do I get around this? In C++ I could use the :: to explicitly say what namespace I'm in... what about D?
If you want to call std.string.indexOf explicitly, then do std.string.indexOf(str, c) instead of indexOf(str, c) or str.indexOf(c).
Or you can use an alias:
alias std.string.indexOf indexOf;
If you put that inside the function where you're calling indexOf, then it should then consider indexOf to be std.string.indexOf for the rest of the function. Or if you put it at the module level, then it'll affect the whole module.
However, due to a bug, UFCS (Universal Function Call Syntax) doesn't currently work with local aliases, so if you put the alias within the function, you'll have to do indexOf(str, c) instead of str.indexOf(c).
A third option is to use a selective import:
import std.string : indexOf;
With that import, only indexOf is imported from std.string, and when you use indexOf, it'll use the string version (even if you've also import std.algorithm). And you can even import std.string regularly in addition to the selective import to get the rest of std.string, and the selective import will still fix the conflict (in which case, it's really not that different from importing std.string and then aliases indexOf). However, due to a bug, selective imports are always treated as public, so doing a selective import of indexOf in a module will affect every module that imports it (potentially causing new conflicts), so you may want to avoid it at this point.