I am running a code on jupyter notebook using virtual machine (Ubuntu). Normally when there is an error it points to the file where the error is giving its path but I got an error with a path I do not have
ValueError Traceback (most recent call last)
/tmp/ipykernel_84/10827517.py in <module>
----> 1 vae_cl.train(max_epochs=500, plan_kwargs=dict(weight_decay=0.0))
/tmp/ipykernel_84/1274271952.py in train(self, max_epochs, n_samples_per_label, check_val_every_n_epoch, train_size, validation_size, batch_size, use_gpu, plan_kwargs, **trainer_kwargs)
187 use_gpu=use_gpu,
188 check_val_every_n_epoch=check_val_every_n_epoch,
--> 189 **trainer_kwargs,
190 )
191 return runner()
/tmp/ipykernel_84/2912366039.py in __init__(self, model, training_plan, data_splitter, max_epochs, use_gpu, **trainer_kwargs)
59 self.data_splitter = data_splitter
60 self.model = model
---> 61 gpus, device = parse_use_gpu_arg(use_gpu)
62 self.gpus = gpus
63 self.device = device
ValueError: too many values to unpack (expected 2)
What I noticed is that the function it is pointing to (---> 61) is actually in the file I am running but I do not understand why the path is like that '/tmp/ipykernel_84/1274271952.py'
Any idea?
I wrote a Python program to calculate the Magnetic Field from a given time-varying Electric field. I used CoordSys3d from sympy.vector
I got it working this afternoon. It was giving correct answers. Then, I upgraded to the newest version of Anaconda (which updated the SymPy library), and now it throws an error when I call integrate().
Here is the error traceback:
>>> integrate( jimmy, t )
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/opt/anaconda3/lib/python3.8/site-packages/sympy/integrals/integrals.py", line 1573, in integrate
new_args = [a.doit(**doit_flags) if isinstance(a, Integral) else a
File "/opt/anaconda3/lib/python3.8/site-packages/sympy/integrals/integrals.py", line 1573, in <listcomp>
new_args = [a.doit(**doit_flags) if isinstance(a, Integral) else a
File "/opt/anaconda3/lib/python3.8/site-packages/sympy/integrals/integrals.py", line 597, in doit
antideriv = self._eval_integral(
File "/opt/anaconda3/lib/python3.8/site-packages/sympy/integrals/integrals.py", line 941, in _eval_integral
result, i = risch_integrate(f, x, separate_integral=True,
File "/opt/anaconda3/lib/python3.8/site-packages/sympy/integrals/risch.py", line 1831, in risch_integrate
ans, i, b = integrate_hyperexponential(fa, fd, DE, conds=conds)
File "/opt/anaconda3/lib/python3.8/site-packages/sympy/integrals/risch.py", line 1564, in integrate_hyperexponential
qa, qd, b = integrate_hyperexponential_polynomial(pp, DE, z)
File "/opt/anaconda3/lib/python3.8/site-packages/sympy/integrals/risch.py", line 1516, in integrate_hyperexponential_polynomial
va, vd = rischDE(iDta, iDtd, Poly(aa, DE.t), Poly(ad, DE.t), DE)
File "/opt/anaconda3/lib/python3.8/site-packages/sympy/integrals/rde.py", line 774, in rischDE
_, (fa, fd) = weak_normalizer(fa, fd, DE)
File "/opt/anaconda3/lib/python3.8/site-packages/sympy/integrals/rde.py", line 126, in weak_normalizer
r = (a - Poly(z, DE.t)*derivation(d1, DE)).as_poly(DE.t).resultant(
File "/opt/anaconda3/lib/python3.8/site-packages/sympy/polys/polytools.py", line 65, in wrapper
return func(f, g)
File "/opt/anaconda3/lib/python3.8/site-packages/sympy/polys/polytools.py", line 4104, in __sub__
return f.sub(g)
File "/opt/anaconda3/lib/python3.8/site-packages/sympy/polys/polytools.py", line 1464, in sub
_, per, F, G = f._unify(g)
File "/opt/anaconda3/lib/python3.8/site-packages/sympy/polys/polytools.py", line 465, in _unify
dom, lev = f.rep.dom.unify(g.rep.dom, gens), len(gens) - 1
File "/opt/anaconda3/lib/python3.8/site-packages/sympy/polys/domains/domain.py", line 686, in unify
return K0.unify_with_symbols(K1, symbols)
File "/opt/anaconda3/lib/python3.8/site-packages/sympy/polys/domains/domain.py", line 666, in unify_with_symbols
return K0.unify(K1)
File "/opt/anaconda3/lib/python3.8/site-packages/sympy/polys/domains/domain.py", line 725, in unify
domain = domain.get_ring()
File "/opt/anaconda3/lib/python3.8/site-packages/sympy/polys/domains/complexfield.py", line 98, in get_ring
raise DomainError("there is no ring associated with %s" % self)
sympy.polys.polyerrors.DomainError: there is no ring associated with CC
Here is the code:
import numpy as np
import sympy as smp
import matplotlib.pyplot as plt
from sympy import *
from sympy import symbols
from sympy.vector import divergence
from sympy.vector import curl
from sympy import diff
from sympy import exp
from sympy import integrate
from sympy.vector import CoordSys3D
R = CoordSys3D('R')
# Variables
X, Y, Z = symbols('X Y Z')
X = R.x
Y = R.y
Z = R.z
# Basis Unit Vectors
i,j,k = symbols('i j k')
i = R.i
j = R.j
k = R.k
# Symbols
x,t = symbols('x t')
Ex = smp.Function('Ex')(x,t)
Ey = smp.Function('Ey')(x,t)
Ez = smp.Function('Ez')(x,t)
wavenumber = symbols('k')
E_0 = symbols('E_0') # Amplitude of E field
w = symbols('w' , real=True, positive=True)
# Define Ey(x,t)
Ey = E_0 * smp.exp( 1j * (wavenumber*X - w*t ))
# The Electric Field
E = Ex*i + Ey*j + Ez*k
init_printing(use_unicode=True, wrap_line=False)
# curl E = - dB/dt
# integrate( (curl E) , t ) = - B
jimmy = curl( E )
B = -integrate( jimmy, t )
pprint( B )
B = -integrate( jimmy, t ).doit()
pprint( B )
Usually we ask users to include the full traceback when asking about errors.
In a sympy context I expect to see "won't integrate" description when result is an expression containing the integral sign. Similarly for "can't solve" results, where the result is the original expression, or a barely simplified one.
Your case is an actual error.
In [6]: jimmy = curl( E, R )
In [7]: jimmy
Out[7]:
1.0⋅ⅈ⋅(Rₓ⋅k - t⋅w)
1.0⋅ⅈ⋅E₀⋅k⋅ℯ r_z
In [8]: smp.integrate( jimmy, t )
/usr/local/lib/python3.8/dist-packages/sympy/core/sympify.py:456: SymPyDeprecationWarning:
String fallback in sympify has been deprecated since SymPy 1.6. Use
sympify(str(obj)) or sympy.core.sympify.converter or obj._sympy_
instead. See https://github.com/sympy/sympy/issues/18066 for more
info.
SymPyDeprecationWarning(
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
ValueError: Error from parse_expr with transformed code: "Float ('1.0' )*I *Symbol ('E_0' )*Symbol ('k' )*exp (Float ('1.0' )*I *(Symbol ('R_x' )*Symbol ('k' )-Symbol ('t' )*Symbol ('w' )))*Symbol ('R' ).z "
The above exception was the direct cause of the following exception:
AttributeError Traceback (most recent call last)
<ipython-input-8-8d40c4ce949f> in <module>
----> 1 smp.integrate( jimmy, t )
/usr/local/lib/python3.8/dist-packages/sympy/integrals/integrals.py in integrate(meijerg, conds, risch, heurisch, manual, *args, **kwargs)
1566 'manual': manual
1567 }
-> 1568 integral = Integral(*args, **kwargs)
1569
1570 if isinstance(integral, Integral):
/usr/local/lib/python3.8/dist-packages/sympy/integrals/integrals.py in __new__(cls, function, *symbols, **assumptions)
89 useinstead="the as_expr or integrate methods of Poly").warn()
90
---> 91 obj = AddWithLimits.__new__(cls, function, *symbols, **assumptions)
92 return obj
93
/usr/local/lib/python3.8/dist-packages/sympy/concrete/expr_with_limits.py in __new__(cls, function, *symbols, **assumptions)
496
497 def __new__(cls, function, *symbols, **assumptions):
--> 498 pre = _common_new(cls, function, *symbols, **assumptions)
499 if type(pre) is tuple:
500 function, limits, orientation = pre
/usr/local/lib/python3.8/dist-packages/sympy/concrete/expr_with_limits.py in _common_new(cls, function, *symbols, **assumptions)
23 (function, limits, orientation). This code is common to
24 both ExprWithLimits and AddWithLimits."""
---> 25 function = sympify(function)
26
27 if isinstance(function, Equality):
/usr/local/lib/python3.8/dist-packages/sympy/core/sympify.py in sympify(a, locals, convert_xor, strict, rational, evaluate)
477 try:
478 a = a.replace('\n', '')
--> 479 expr = parse_expr(a, local_dict=locals, transformations=transformations, evaluate=evaluate)
480 except (TokenError, SyntaxError) as exc:
481 raise SympifyError('could not parse %r' % a, exc)
....
AttributeError: 'Symbol' object has no attribute 'z'
So while:
In [9]: R.z
Out[9]: r_z
it has replaced that with:
In [10]: parse_expr(Symbol ('R' ).z)
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-10-60a85cf12db4> in <module>
----> 1 parse_expr(Symbol ('R' ).z)
AttributeError: 'Symbol' object has no attribute 'z'
I don't know enough sympy to understand the issue, but it is more informative than "won't integrate".
I discovered the problem was being caused by me using "1j" for "i". I changed it to "I" and now it works.
Causes error:
Ey = E_0 * smp.exp( 1j * (wavenumber*X - w*t ))
Works fine:
Ey = E_0 * smp.exp( I * (wavenumber*X - w*t ))
I am using rpy2 to access a function which accepts the variables and then predicts the output for a GAM Model.
However, I am facing the following error during python runtime:
RRuntimeError Traceback (most recent call last)
<ipython-input-12-e571fb4e8082> in <module>
----> 1 gam_model(0.1, 13000, 1300, .5, 9000, 4, 10)
{PATH_TO_ENV}\lib\site-packages\rpy2\robjects\functions.py in __call__(self, *args, **kwargs)
176 v = kwargs.pop(k)
177 kwargs[r_k] = v
--> 178 return super(SignatureTranslatedFunction, self).__call__(*args, **kwargs)
179
180 pattern_link = re.compile(r'\\link\{(.+?)\}')
{PATH_TO_ENV}\lib\site-packages\rpy2\robjects\functions.py in __call__(self, *args, **kwargs)
104 for k, v in kwargs.items():
105 new_kwargs[k] = conversion.py2ri(v)
--> 106 res = super(Function, self).__call__(*new_args, **new_kwargs)
107 res = conversion.ri2ro(res)
108 return res
RRuntimeError: Error in qr.lm(object) : lm object does not have a proper 'qr' component.
Rank zero or should not have used lm(.., qr=FALSE)
There does not seem to be a problem in in the R side as I tried the script alone and was able to run the function as expected. Following is the code for the R function and the Python call respectively. Also I tested the integration on a simple Linear regression model with one variable and it was working fine as well.
The R function:
gam_model <- function(var1, var2,
var3, var4, var5,
var6, var7, ...){
x <- data.frame(var1=var1, var2=var2,
var3=var3, var4=var4,
var5=var5, var6=var6, var7=var7)
model <- readRDS("models/gam_1.rds")
result <- predict(model, x)
return(result)
}
The python call:
from rpy2 import robjects
from rpy2.robjects import pandas2ri
r = robjects.r
r['source']('model_functions.R')
gam_model = robjects.globalenv['gam_model']
y_pred = gam_model(0.1, 13000, 1300, .5, 9000, 4, 10)
I have identified the issue as the package 'mgcv' is not installed. Installing will resolve the issue.
I am exploring the chainladder package. I tried to export a triangle structure into an excel sheet. But it throws an error. Has anyone ever faced this kind of problem. I am using chainladder==0.7.9 with pandas==0.24.2. Here is my simple code by reading their documentation https://chainladder-python.readthedocs.io/en/latest/tutorials/index.html
import pandas as pd
import numpy as np
import chainladder as cl
raa = cl.load_sample('raa')
cl.load_template('triangle', triangle=raa.latest_diagonal).to_excel('raa_example.xlsx')
I get the following error:
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
e:\pyworkspace37\chainladderdemo\venv\lib\site-packages\chainladder\utils\exhibits.py in load_template(template, env, **kwargs)
24 try:
---> 25 return load_yaml(template, env, **kwargs)
26 except:
e:\pyworkspace37\chainladderdemo\venv\lib\site-packages\xlcompose\templates.py in load_yaml(template, env, str_only, **kwargs)
108 else:
--> 109 return _make_xlc(yaml.load(template, Loader=yaml.SafeLoader), **kwargs)
110
e:\pyworkspace37\chainladderdemo\venv\lib\site-packages\xlcompose\templates.py in _make_xlc(template, **kwargs)
51 return core.Tabs(*[('Sheet1', item) for item in tabs])
---> 52 key = list(template.keys())[0]
53 if key in ['Row', 'Column']:
AttributeError: 'str' object has no attribute 'keys'
During handling of the above exception, another exception occurred:
AttributeError Traceback (most recent call last)
<ipython-input-17-270670213d97> in <module>
----> 1 cl.load_template('triangle', triangle=raa.latest_diagonal).to_excel('raa_example.xlsx')
2 #,type(raa.latest_diagonal)
3 type(raa_model.ultimate_)
e:\pyworkspace37\chainladderdemo\venv\lib\site-packages\chainladder\utils\exhibits.py in load_template(template, env, **kwargs)
26 except:
27 template = os.path.join(path, "templates", template.lower() + ".yaml")
---> 28 return load_yaml(template, env, **kwargs)
e:\pyworkspace37\chainladderdemo\venv\lib\site-packages\xlcompose\templates.py in load_yaml(template, env, str_only, **kwargs)
107 return template
108 else:
--> 109 return _make_xlc(yaml.load(template, Loader=yaml.SafeLoader), **kwargs)
110
111 def load_json(template, env=None, **kwargs):
e:\pyworkspace37\chainladderdemo\venv\lib\site-packages\xlcompose\templates.py in _make_xlc(template, **kwargs)
50 except:
51 return core.Tabs(*[('Sheet1', item) for item in tabs])
---> 52 key = list(template.keys())[0]
53 if key in ['Row', 'Column']:
54 return getattr(core, key)(*[_make_xlc(element, **kwargs)
AttributeError: 'str' object has no attribute 'keys'
Please let me know if I am missing something silly.
load_template is used to load a YAML template containing the specs for your Excel file. This particular template file is designed to create a standard exhibit for regular triangles, not diagonals. Templates are used to contain complex layouts, formatting, logic.
This should resolve the issue:
cl.load_template('triangle', triangle=raa).to_excel('raa_example.xlsx')
If you would simply like to export just the diagonal to Excel, you can do so without a template:
raa.latest_diagonal.to_excel('raa_example.xlsx')
# or
cl.DataFrame(raa.latest_diagonal).to_excel('raa_example.xlsx')
I got an audio dataset of many wav files and tired to use librosa to edit, but I have trouble reading some certain files by using librosa.load.Could someone help me figure it out?
here is my code:
import librosa
sound_clip = librosa.load('audio/fold1/180937-7-3-10.wav')
print(sound_clip)
here is the error:
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-5-93fe2f032e98> in <module>()
----> 1 sound_clip = librosa.load('audio/fold1/180937-7-3-10.wav')
2 print(sound_clip)
/home/uri7910/anaconda2/envs/tensorflow011/lib/python2.7/site-packages/librosa/core/audio.pyc in load(path, sr, mono, offset, duration, dtype)
107
108 y = []
--> 109 with audioread.audio_open(os.path.realpath(path)) as input_file:
110 sr_native = input_file.samplerate
111 n_channels = input_file.channels
/home/uri7910/anaconda2/envs/tensorflow011/lib/python2.7/site-packages/audioread/__init__.pyc in audio_open(path)
100 from . import maddec
101 try:
--> 102 return maddec.MadAudioFile(path)
103 except DecodeError:
104 pass
/home/uri7910/anaconda2/envs/tensorflow011/lib/python2.7/site-packages/audioread/maddec.pyc in __init__(self, filename)
24 def __init__(self, filename):
25 self.fp = open(filename, 'rb')
---> 26 self.mf = mad.MadFile(self.fp)
27 if not self.mf.total_time(): # Indicates a failed open.
28 raise UnsupportedError()
AttributeError: 'module' object has no attribute 'MadFile'
The failing line is:
self.mf = mad.MadFile(self.fp)
AttributeError: 'module' object has no attribute 'MadFile'
This looks to be a problem with the pyMad library. Would suggest looking into upgrading or reinstalling. that library. If that fails you might want to raise a bug.