Python 3.9.7, Numba 0.54.0
I wrote this simple code, that works well:
import numpy as np
import numba
from collections import namedtuple
Deal = namedtuple('Deal' , ['DateTime', 'Price', 'Quantity'])
dtype_deals = [('DateTime', 'datetime64[s]'), ('Price', 'float64'), ('Quantity', 'uint64')]
# #numba.njit
def my_func():
deals = []
deals.append(Deal(np.datetime64('2015-02-27T15:12:12'), 12.48, 10))
deals.append(Deal(np.datetime64('2015-03-17T15:08:36'), 1.15, 100))
deals.append(Deal(np.datetime64('2015-04-02T15:14:32'), 11.01, 20))
return np.array(deals, dtype=dtype_deals)
print(str(my_func()))
But when I remove the comment before #numba.njit, I get a mistake:
numba.core.errors.TypingError: Failed in nopython mode pipeline (step:
nopython frontend) No implementation of function
Function(datetime64[]) found for signature:
(Literalstr) There are 2 candidate implementations:
Of which 1 did not match due to: Overload in function 'make_callable_template..generic': File:
numba/core/typing/templates.py: Line 174. With argument(s):
'(unicode_type)': Rejected as the implementation raised a specific
error:
TypingError: Casting unicode_type to datetime64[] directly is unsupported. raised from
/home/ivan/.local/lib/python3.9/site-packages/numba/core/typing/builtins.py:818
Of which 1 did not match due to: Overload in function 'make_callable_template..generic': File:
numba/core/typing/templates.py: Line 174. With argument(s):
'(Literalstr)': Rejected as the
implementation raised a specific error:
TypingError: Casting Literalstr to datetime64[] directly is unsupported. raised from
/home/ivan/.local/lib/python3.9/site-packages/numba/core/typing/builtins.py:818
During: resolving callee type: class(datetime64[])
During: typing of call at /home/ivan/eclipse-workspace/MarketAnalysis/Experiment.py (11)
File "Experiment.py", line 11: def my_func():
deals = []
deals.append(Deal(np.datetime64('2015-02-27T15:12:12'), 12.48, 10))
^
Related
I'm facing this error in mypy for an __init__subclass
main.py:7: error: Unexpected keyword argument "swallow" for "__init_subclass__" of "object" [call-arg] /layers/google.python.pip/pip/lib/python3.10/site-packages/mypy/typeshed/stdlib/builtins.pyi:113: note: "__init_subclass__" of "object" defined here Found 1 error in 1 file (checked 1 source file)
here is mypy playground sample code :
(https://mypy-play.net/?mypy=latest&python=3.10&gist=010f4102ed9a2ff8fd53fc69c76c14f8)
It's raised on a huge existing code base and is very hard to use #type: ignore. any possible explanation of this error would be really helpful , Thanks
sample code to reproduce this error on mypy playground:
class Base:
def __init__subclass(cls, swallow, **kwargs):
super().__init_subclass__(**kwargs)
class Child(Base, swallow="african"):
def __init__(self) -> None:
super(Child, self).__init__()
I am using IBM's quantum computing lab, and was following a tutorial made by IBM for getting started, and my code is throwing errors. I followed the tutorial exactly. Here is my code:
#-----------Cell 1:
import numpy as np
# Importing standard Qiskit libraries
from qiskit import QuantumCircuit, transpile, Aer, IBMQ
from qiskit.tools.jupyter import *
from qiskit.visualization import *
from ibm_quantum_widgets import *
from qiskit.providers.aer import QasmSimulator
# Loading your IBM Quantum account(s)
provider = IBMQ.load_account()
#-----------Cell 2:
# Build
#------
# Create a Quantum Circuit acting on the q register
circuit = QuantumCircuit(2, 2)
# Add a H gate on qubit 0
circuit.h(0)
# Add a CX (CNOT) gate on control qubit 0 and target qubit 1
circuit.cx(0, 1)
# Map the quantum measurement to the classical bits
circuit.measure([0,1], [0,1])
# END
# Execute
#--------
# Use Aer's qasm_simulator
simulator = Aer.get_backend('qasm_simulator')
# Execute the circuit on the qasm simulator
job = execute(circuit, simulator, shots=1000)
# Grab results from the job
result = job.result()
# Return counts
counts = result.get_counts(circuit)
print("\nTotal count for 00 and 11 are:",counts)
# END
# Visualize
#----------
# Import draw_circuit, then use it to draw the circuit
from ibm_quantum_widgets import draw_circuit
draw_circuit(circuit)
# Analyze
#--------
# Plot a histogram
plot_histogram(counts)
# END
This code throws this error:
Traceback (most recent call last):
File "/tmp/ipykernel_59/1801586149.py", line 26, in <module>
job = execute(circuit, simulator, shots=1000)
NameError: name 'execute' is not defined
Use %tb to get the full traceback.
I am new to IBM and quantum computing, how do I fix this error?
Here is the tutorial I was following if you need it: https://quantum-computing.ibm.com/lab/docs/iql/first-circuit
You did not import execute from qiskit.
Change
from qiskit import QuantumCircuit, transpile, Aer, IBMQ
to
from qiskit import QuantumCircuit, transpile, Aer, IBMQ, execute
when i use the st.cache decorator to cash hugging-face transformer model i get
Unhashable TypeError
this is the code
from transformers import pipeline
import streamlit as st
from io import StringIO
#st.cache(hash_funcs={StringIO: StringIO.getvalue})
def model() :
return pipeline("sentiment-analysis", model='akhooli/xlm-r-large-arabic-sent')
after searching in issues section in streamlit repo
i found that hashing argument is not required , just need to pass this argument
allow_output_mutation = True
This worked for me:
from transformers import pipeline
import tokenizers
import streamlit as st
import copy
#st.cache(hash_funcs={tokenizers.Tokenizer: lambda _: None, tokenizers.AddedToken: lambda _: None})
def get_model() :
return pipeline("sentiment-analysis", model='akhooli/xlm-r-large-arabic-sent')
input = st.text_input('Text')
bt = st.button("Get Sentiment Analysis")
if bt and input:
model = copy.deepcopy(get_model())
st.write(model(input))
Note 1:
calling the pipeline with input model(input) changes the model and we shouldn't change a cached value so we need to copy the model and run it on the copy.
Note 2:
First run will load the model using the get_model function next run will use the chace.
Note 3:
You can read more about Advanced caching in stremlit in thier documentation.
Output examples:
When a GraphQL Error occurs, I cannot easily know where it occured. I have to spend unnecessary time trying to track it down. How do I get a Traceback printed in the console of my text editor?
I answered my own question by accessing the GraphQL error(s) with result.errors, iterating through the list, and using python's print_tb function to print the Traceback.
Does anyone have a different or better way of doing it?
Example usage of the print_graphql_errors function:
from django.conf.settings import DEBUG
result = schema.execute(
mutation_str, context_value=request, variable_values=variable_values
)
if result.errors is None:
return self.handle_success(result)
if DEBUG:
print_graphql_errors(result.errors)
return self.handle_failure(result)
The print_graphql_errors function:
from traceback import print_tb
from django.conf.settings import DEBUG
def print_graphql_errors(errors, raise_error=False):
if not DEBUG:
raise Exception(
'DevError: This function should not be called in production'
)
assert errors, 'DevError: The "errors" parameter cannot be None'
print_after = []
current_error = None
print('######################################################################')
print('Manually Generated Traceback (with the print_graphql_errors function):')
print(f'There are {len(errors)} errors:')
for i, error in enumerate(errors):
print(f'{i + 1}) ', error)
print('######################################################################')
for error in errors:
current_error = error
# FYI: This object has these attributes: (example attribute values)
# tb_frame <frame at 0x000002DDB844D548, file 'site-packages\\graphql\\execution\\executor.py', line 455, code resolve_or_error>
# tb_lasti 16
# tb_lineno 447
# tb_next <traceback object at 0x000002DDBAFBA388>
# print('error.locations:', error.locations)
# print('error.positions:', error.positions)
try:
print_tb(error.stack)
except AttributeError as e:
print(e.__traceback__)
print(f'Warning: An error occured while trying to print the traceback: {e}. It has the following attributes instead: {dir(error)}')
print_after.append(error)
if len(print_after):
print('###################################################################')
print(f'Number of errors without the "stack" attribute: {len(print_after)}')
print('###################################################################')
if raise_error:
for error in print_after:
raise error
raise current_error
I'm trying to run a code from github that uses Python to classify images but I'm getting an error.
here is the code:
import argparse as ap
import cv2
import imutils
import numpy as np
import os
from sklearn.svm import LinearSVC
from sklearn.externals import joblib
from scipy.cluster.vq import *
# Get the path of the testing set
parser = ap.ArgumentParser()
group = parser.add_mutually_exclusive_group(required=True)
group.add_argument("-t", "--testingSet", help="Path to testing Set")
group.add_argument("-i", "--image", help="Path to image")
parser.add_argument('-v',"--visualize", action='store_true')
args = vars(parser.parse_args())
# Get the path of the testing image(s) and store them in a list
image_paths = []
if args["testingSet"]:
test_path = args["testingSet"]
try:
testing_names = os.listdir(test_path)
except OSError:
print "No such directory {}\nCheck if the file exists".format(test_path)
exit()
for testing_name in testing_names:
dir = os.path.join(test_path, testing_name)
class_path = imutils.imlist(dir)
image_paths+=class_path
else:
image_paths = [args["image"]]
and this is the error message I'm getting
usage: getClass.py [-h]
(- C:/Users/Lenovo/Downloads/iris/bag-of-words-master/dataset/test TESTINGSET | - C:/Users/Lenovo/Downloads/iris/bag-of-words-master/dataset/test/test_1.jpg IMAGE)
[- C:/Users/Lenovo/Downloads/iris/bag-of-words-master/dataset]
getClass.py: error: one of the arguments - C:/Users/Lenovo/Downloads/iris/bag-of-words-master/dataset/test/--testingSet - C:/Users/Lenovo/Downloads/iris/bag-of-words-master/dataset/test/test_1.jpg/--image is required
can you please help me with this? where and how should I write the file path?
This is an error your own program is issuing. The message is not about the file path but about the number of arguments. This line
group = parser.add_mutually_exclusive_group(required=True)
says that only one of your command-line arguments (-t, -i) is permitted. But it appears from the error message that you are supplying both --testingSet and --image on your command line.
Since you only have 3 arguments, I have to wonder if you really need argument groups at all.
To get your command line to work, drop the mutually-exclusive group and add the arguments to the parser directly.
parser.add_argument("-t", "--testingSet", help="Path to testing Set")
parser.add_argument("-i", "--image", help="Path to image")
parser.add_argument('-v',"--visualize", action='store_true')