text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_prefix|># repo: yalinli2/Bioindustrial-Park path: /BioSTEAM 1.x.x/build/lib/biorefineries/lipidcane/species/pretreatment.py
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat Mar 10 16:26:31 2018
All species for the oil and sugar separation (pretreatment) section of the lipid cane baseline bioref... | code_fim | medium | {
"lang": "python",
"repo": "yalinli2/Bioindustrial-Park",
"path": "/BioSTEAM 1.x.x/build/lib/biorefineries/lipidcane/species/pretreatment.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def _get_credentials():
_check_path_exists()<|fim_prefix|># repo: yjkweon24/cmapBQ path: /cmapBQ/auth.py
import os
def _check_path_exists():
<|fim_middle|> PATH = os.path.expanduser('~/.cmapBQ')
if os.path.exists(PATH):
pass
else:
os.mkdir(PATH)
return PATH
| code_fim | medium | {
"lang": "python",
"repo": "yjkweon24/cmapBQ",
"path": "/cmapBQ/auth.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: yjkweon24/cmapBQ path: /cmapBQ/auth.py
import os
def _check_path_exists():
<|fim_suffix|> _check_path_exists()<|fim_middle|> PATH = os.path.expanduser('~/.cmapBQ')
if os.path.exists(PATH):
pass
else:
os.mkdir(PATH)
return PATH
def _get_credentials():
| code_fim | medium | {
"lang": "python",
"repo": "yjkweon24/cmapBQ",
"path": "/cmapBQ/auth.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return _main_logger.bind(location=location)
def debug(msg):
frame = inspect.stack()[1]
module = inspect.getmodule(frame[0])
get_logger(module.__name__).debug(msg, debug=True, lineno=frame.lineno)<|fim_prefix|># repo: marc-x-andre/PathViz path: /utils/logger.py
import inspect
import st... | code_fim | hard | {
"lang": "python",
"repo": "marc-x-andre/PathViz",
"path": "/utils/logger.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class Logger(structlog.BoundLogger):
def debug(self, msg, *args, **kwargs):
pass
def info(self, msg, *args, **kwargs):
pass
def warning(self, msg, *args, **kwargs):
pass
def error(self, msg, *args, **kwargs):
pass
def exception(self, msg, *args, **... | code_fim | medium | {
"lang": "python",
"repo": "marc-x-andre/PathViz",
"path": "/utils/logger.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: marc-x-andre/PathViz path: /utils/logger.py
import inspect
import structlog
structlog.configure(
processors=[
structlog.processors.StackInfoRenderer(),
structlog.dev.set_exc_info,
structlog.stdlib.add_log_level,
structlog.processors.format_exc_info,
s... | code_fim | hard | {
"lang": "python",
"repo": "marc-x-andre/PathViz",
"path": "/utils/logger.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Animadversio/FloodFillNetwork-Notes path: /connect_with_knossos.py
"""
Create KNOSSOS dataset from the image data and segmentation files for proofreading
and post processing
"""
import knossos_utils
from ffn.inference.storage import subvolume_path
import numpy as np
#%%
kns_dataset = knossos_ut... | code_fim | hard | {
"lang": "python",
"repo": "Animadversio/FloodFillNetwork-Notes",
"path": "/connect_with_knossos.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>#%% Fetch segmentation file from npz
corner = (0, 1000, 1500)
seg_dir = "/home/morganlab/Documents/ixP11LGN/p11_5_exp1_rev_full"
data_path = subvolume_path(seg_dir, corner, 'npz')
seg = np.load(data_path)
seg=seg['segmentation']
#%% Export the cube dataset into KNOSSOS
kzip_path = "/home/morganlab/Documen... | code_fim | hard | {
"lang": "python",
"repo": "Animadversio/FloodFillNetwork-Notes",
"path": "/connect_with_knossos.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: agladyshev/FSND-brewlocker path: /app/main/forms.py
from flask_wtf import FlaskForm
from flask_wtf.file import FileField, FileRequired, FileAllowed
from wtforms import StringField, TextAreaField, SubmitField
from wtforms.validators import Required, Length, URL
from wtforms import ValidationError
... | code_fim | medium | {
"lang": "python",
"repo": "agladyshev/FSND-brewlocker",
"path": "/app/main/forms.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> header = StringField("Your pitch here", validators=[Required()])
body = TextAreaField("Tell me everything", validators=[Required()])
img = FileField('Upload photos', validators=[
FileAllowed(images, 'Images only!')])
phone = StringField('Phone', validators=[Required(), ... | code_fim | medium | {
"lang": "python",
"repo": "agladyshev/FSND-brewlocker",
"path": "/app/main/forms.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sharan21/vae-exps-3 path: /load_data.py
# _*_ coding: utf-8 _*_
import os
import sys
import torch
from torch.nn import functional as F
import numpy as np
from torchtext.legacy import data
from torchtext.legacy import datasets
from torchtext.vocab import Vectors, GloVe
def load_dataset(test_sen=... | code_fim | hard | {
"lang": "python",
"repo": "sharan21/vae-exps-3",
"path": "/load_data.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> word_embeddings = TEXT.vocab.vectors
print ("Length of Text Vocabulary: " + str(len(TEXT.vocab)))
print ("Vector size of Text Vocabulary: ", TEXT.vocab.vectors.size())
print ("Label Length: " + str(len(LABEL.vocab)))
train_data, valid_data = train_data.split() # Further splitting of t... | code_fim | hard | {
"lang": "python",
"repo": "sharan21/vae-exps-3",
"path": "/load_data.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> '''Alternatively we can also use the default configurations'''
# train_iter, test_iter = datasets.IMDB.iters(batch_size=32)
vocab_size = len(TEXT.vocab)
# print(TEXT.vocab.stoi["<eos>"])
# print(TEXT.vocab.stoi["<sos>"])
# exit(0)
return TEXT, vocab_size, word_embeddings, tra... | code_fim | hard | {
"lang": "python",
"repo": "sharan21/vae-exps-3",
"path": "/load_data.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if method == "imageinfo":
return wmcommons.imageinfo(args)<|fim_prefix|># repo: hay/chantek path: /commands/wmcommons/command.py
from . import wmcommons
CACHEABLE = True
arguments = {
"q" : {
"required" : True,
"type" : str
},
"height" : 300,
"width" : 300
}
m... | code_fim | easy | {
"lang": "python",
"repo": "hay/chantek",
"path": "/commands/wmcommons/command.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hay/chantek path: /commands/wmcommons/command.py
from . import wmcommons
CACHEABLE = True
arguments = {
"q" : {
"required" : True,
"type" : str
},
"height" : 300,
"width" : 300
}
methods = ("imageinfo")
<|fim_suffix|> if method == "imageinfo":
return w... | code_fim | easy | {
"lang": "python",
"repo": "hay/chantek",
"path": "/commands/wmcommons/command.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>if a == 0:
if b == 0:
if c == 0:
print("phuong trinh vo so nghiem")
else:
print("phuong trinh vo nghiem")
else:
if c == 0:
print("Phuong trinh co 1 nghiem x = 0")
else:
print("Phuong trinh co 1 nghiem x = ", ... | code_fim | medium | {
"lang": "python",
"repo": "thephong45/student-practices",
"path": "/5_Pham_Ngo_Tien_Dung/1.10.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: thephong45/student-practices path: /5_Pham_Ngo_Tien_Dung/1.10.py
# "Tạo một chương trình bằng Python, giải phương trình bậc hai
# A.x2 + B.x1 + C = 0
# Trong đó A, B, C là số thực (có thể âm), hãy tìm X. "
<|fim_suffix|>a = float(input("Nhap a: "))
b = float(input("Nhap b: "))
c = float(in... | code_fim | medium | {
"lang": "python",
"repo": "thephong45/student-practices",
"path": "/5_Pham_Ngo_Tien_Dung/1.10.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>a = float(input("Nhap a: "))
b = float(input("Nhap b: "))
c = float(input("Nhcp c: "))
if a == 0:
if b == 0:
if c == 0:
print("phuong trinh vo so nghiem")
else:
print("phuong trinh vo nghiem")
else:
if c == 0:
print("Phuong t... | code_fim | medium | {
"lang": "python",
"repo": "thephong45/student-practices",
"path": "/5_Pham_Ngo_Tien_Dung/1.10.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MonwarAdeeb/HackerRank-Solutions path: /Python/itertools.permutations() - Alternate Solution.py
# Enter your code here. Read input from STDIN. Print output to STDOUT
from itertools import permutations
<|fim_suffix|>for i in permutations:
print("".join(i))<|fim_middle|>word, num = input().spl... | code_fim | medium | {
"lang": "python",
"repo": "MonwarAdeeb/HackerRank-Solutions",
"path": "/Python/itertools.permutations() - Alternate Solution.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>for i in permutations:
print("".join(i))<|fim_prefix|># repo: MonwarAdeeb/HackerRank-Solutions path: /Python/itertools.permutations() - Alternate Solution.py
# Enter your code here. Read input from STDIN. Print output to STDOUT
from itertools import permutations
<|fim_middle|>word, num = input().spl... | code_fim | medium | {
"lang": "python",
"repo": "MonwarAdeeb/HackerRank-Solutions",
"path": "/Python/itertools.permutations() - Alternate Solution.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> @abstractmethod
async def punish(
self, ctx: commands.Context, member: discord.Member, punishment: Punishment
) -> None:
"""
The manager's punish function.
:param ctx: The context of the punishments.
:type ctx: commands.Context
:param member: Th... | code_fim | hard | {
"lang": "python",
"repo": "popop098/discord-super-utils",
"path": "/discordSuperUtils/punishments.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: popop098/discord-super-utils path: /discordSuperUtils/punishments.py
from __future__ import annotations
from abc import ABC, abstractmethod
from datetime import timedelta
from typing import Optional, List, TYPE_CHECKING
if TYPE_CHECKING:
import discord
from discord.ext import commands
... | code_fim | hard | {
"lang": "python",
"repo": "popop098/discord-super-utils",
"path": "/discordSuperUtils/punishments.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Time fitting VQC to data."""
self.vqc.fit(self.X, self.y_one_hot)
if __name__ == "__main__":
for dataset, backend, optimizer, loss_function in product(*VqcFitBenchmarks.params):
bench = VqcFitBenchmarks()
try:
bench.setup(dataset, backend, optimizer, l... | code_fim | hard | {
"lang": "python",
"repo": "ikkoham/qiskit-app-benchmarks",
"path": "/machine_learning/benchmarks/vqc_fit_benchmark.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ikkoham/qiskit-app-benchmarks path: /machine_learning/benchmarks/vqc_fit_benchmark.py
# This code is part of Qiskit.
#
# (C) Copyright IBM 2021.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
#... | code_fim | hard | {
"lang": "python",
"repo": "ikkoham/qiskit-app-benchmarks",
"path": "/machine_learning/benchmarks/vqc_fit_benchmark.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.vqc.fit(self.X, self.y_one_hot)
if __name__ == "__main__":
for dataset, backend, optimizer, loss_function in product(*VqcFitBenchmarks.params):
bench = VqcFitBenchmarks()
try:
bench.setup(dataset, backend, optimizer, loss_function)
except NotImplement... | code_fim | hard | {
"lang": "python",
"repo": "ikkoham/qiskit-app-benchmarks",
"path": "/machine_learning/benchmarks/vqc_fit_benchmark.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Use first max if it is close
if np.abs(tau[zz] - tauFirstNext) < tauDistance:
tau[zz+1] = tauFirstNext
zeta[zz+1] = wpFirstMaxima[zz+1,1]
# if it's too far, try the second max
elif np.abs(tau[zz] - tauSecondNext) < tauDistance:
tau[zz+1] = tauSecondNext
zeta[zz+1] = wpSecondMaxim... | code_fim | hard | {
"lang": "python",
"repo": "dwille/bbtools",
"path": "/c-tools/fourier-reconstruction/1-dim-part/plt/avg-plot-spacetime-wp.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dwille/bbtools path: /c-tools/fourier-reconstruction/1-dim-part/plt/avg-plot-spacetime-wp.py
#!/usr/bin/env python2
from setup import *
os.system('clear')
from matplotlib.ticker import MultipleLocator
from scipy.signal import argrelextrema
print ""
print " ---- Fourier Reconstruction Plotting U... | code_fim | hard | {
"lang": "python",
"repo": "dwille/bbtools",
"path": "/c-tools/fourier-reconstruction/1-dim-part/plt/avg-plot-spacetime-wp.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>def generate_options_for_resource_class(control_value=None, **kwargs):
if control_value is None:
return ['DynamoDB', 'EBS', 'EFS', 'RDS', 'Storage Gateway']
region = control_value.split(',')[2]
return [(region + ',' + 'DynamoDB', 'DynamoDB'), (region + ',' + 'EBS', 'EBS'), (region + ',... | code_fim | hard | {
"lang": "python",
"repo": "CloudBoltSoftware/cloudbolt-forge",
"path": "/blueprints/aws_backup_selection/create.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> if control_value is None:
return ['DynamoDB', 'EBS', 'EFS', 'RDS', 'Storage Gateway']
region = control_value.split(',')[2]
return [(region + ',' + 'DynamoDB', 'DynamoDB'), (region + ',' + 'EBS', 'EBS'), (region + ',' + 'EFS', 'EFS'),
(region + ',' + 'RDS', 'RDS'), (region +... | code_fim | hard | {
"lang": "python",
"repo": "CloudBoltSoftware/cloudbolt-forge",
"path": "/blueprints/aws_backup_selection/create.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: CloudBoltSoftware/cloudbolt-forge path: /blueprints/aws_backup_selection/create.py
"""
Build service item action for AWS security group.
"""
from django.contrib.admin.utils import flatten
import boto3
from botocore.exceptions import ClientError
from common.methods import set_progress
from infrast... | code_fim | hard | {
"lang": "python",
"repo": "CloudBoltSoftware/cloudbolt-forge",
"path": "/blueprints/aws_backup_selection/create.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: aldopareja/instacart_kaggle path: /src/data/decompress.py
import argparse, glob, os
import warnings as wr
import zipfile as zp
def main(inputDir,outputDir):
inputFiles = glob.glob(os.path.join(inputDir,'*.zip'))
if not os.path.exists(outputDir):
os.makedirs(outputDir)
else:
... | code_fim | hard | {
"lang": "python",
"repo": "aldopareja/instacart_kaggle",
"path": "/src/data/decompress.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
args = parser.parse_args()
inputDir = args.input_directory
outputDir = args.output_directory
main(inputDir,outputDir)<|fim_prefix|># repo: aldopareja/instacart_kaggle path: /src/data/decompress.py
import argparse, glob, os
import warnings as wr
import zipfile as zp
def main(inputDir,o... | code_fim | medium | {
"lang": "python",
"repo": "aldopareja/instacart_kaggle",
"path": "/src/data/decompress.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """get triggered, when Plugin get uninstall"""
pass
def TerminalClientStart(self):
"""get triggered, when user terminal start"""
pass
def TerminalClientStop(self, exitCode=200):
"""get triggered, when user terminal stop"""
pass
def Interfac... | code_fim | medium | {
"lang": "python",
"repo": "Mexlab/Doc",
"path": "/Listener.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Mexlab/Doc path: /Listener.py
class Listener():
def __init__(self):
pass
def UserInput(self, username, userinput):
"""get triggered, when a plugin want a Input from a User"""
pass
def Print(self, text):
"""get triggered, when a text print out"""
... | code_fim | hard | {
"lang": "python",
"repo": "Mexlab/Doc",
"path": "/Listener.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: JefflinKingston/greyatom-python-for-data-science path: /Make-Sense-of-Census/code.py
# --------------
# Importing header files
import numpy as np
import warnings
warnings.filterwarnings('ignore')
#New record
new_record=[[50, 9, 4, 1, 0, 0, 40, 0]]
<|fim_suffix|>race_0=np.array(c... | code_fim | hard | {
"lang": "python",
"repo": "JefflinKingston/greyatom-python-for-data-science",
"path": "/Make-Sense-of-Census/code.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>len_0=race_0.size
len_1=race_1.size
len_2=race_2.size
len_3=race_3.size
len_4=race_4.size
l=np.array([len_0,len_1,len_2,len_3,len_4])
m=l.min()
minority_race=list(l).index(m)
print(minority_race)
senior_citizens=np.array(census[census[:,0]>60])
working_hours_sum=senior_citizens[:,6].sum()
s... | code_fim | hard | {
"lang": "python",
"repo": "JefflinKingston/greyatom-python-for-data-science",
"path": "/Make-Sense-of-Census/code.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>senior_citizens=np.array(census[census[:,0]>60])
working_hours_sum=senior_citizens[:,6].sum()
senior_citizens_len=senior_citizens.shape
avg_working_hours=round(working_hours_sum/senior_citizens_len[0],2)
print(working_hours_sum)
print(avg_working_hours)
high=np.array(census[census[:,1]>10])
low=n... | code_fim | hard | {
"lang": "python",
"repo": "JefflinKingston/greyatom-python-for-data-science",
"path": "/Make-Sense-of-Census/code.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: DevLemp/OMS path: /OMS/movie/urls.py
from django.urls import path, include
from rest_framework.routers import DefaultRouter
<|fim_suffix|>
router = DefaultRouter()
router.register('titles', views.MovieViewSet)
router.register('titles/rent', views.RentViewSet)
router.register('rental/return', vi... | code_fim | easy | {
"lang": "python",
"repo": "DevLemp/OMS",
"path": "/OMS/movie/urls.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
router = DefaultRouter()
router.register('titles', views.MovieViewSet)
router.register('titles/rent', views.RentViewSet)
router.register('rental/return', views.ReturnViewSet)
router.register('rental/price', views.PriceViewSet)
app_name = 'movie'
urlpatterns = [
path('', include(router.urls))
]<|fi... | code_fim | easy | {
"lang": "python",
"repo": "DevLemp/OMS",
"path": "/OMS/movie/urls.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: IML-DKFZ/fd-shifts path: /fd_shifts/tests/analysis/test_metrics.py
["all_nan_correct"]["all_confid"], np.nan),
(stats_caches["all_nan_correct"]["some_confid"], np.nan),
(stats_caches["all_nan_correct"]["some_confid_inv"], np.nan),
(stats_caches["all_nan_correct"]["med_conf... | code_fim | hard | {
"lang": "python",
"repo": "IML-DKFZ/fd-shifts",
"path": "/fd_shifts/tests/analysis/test_metrics.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
@pytest.mark.parametrize(
("stats_cache", "expected"),
[
(stats_caches["all_correct"]["all_confid"], 0),
(stats_caches["all_correct"]["some_confid"], 8.059047775479163),
(stats_caches["all_correct"]["some_confid_inv"], 8.059047775479163),
(stats_caches["all_correct... | code_fim | hard | {
"lang": "python",
"repo": "IML-DKFZ/fd-shifts",
"path": "/fd_shifts/tests/analysis/test_metrics.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: IML-DKFZ/fd-shifts path: /fd_shifts/tests/analysis/test_metrics.py
_correct"]["all_nan_confid"], np.nan),
(stats_caches["none_correct"]["some_nan_confid"], np.nan),
(stats_caches["all_nan_correct"]["all_confid"], np.nan),
(stats_caches["all_nan_correct"]["some_confid"], np... | code_fim | hard | {
"lang": "python",
"repo": "IML-DKFZ/fd-shifts",
"path": "/fd_shifts/tests/analysis/test_metrics.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: spyysalo/multiling-cnn path: /testmlcnn.py
#!/usr/bin/env python3
# Predict with multilingual text classifier.
import sys
import os
import json
import numpy as np
from logging import warning, error
from keras.models import load_model
from keras.preprocessing.sequence import pad_sequences
fro... | code_fim | hard | {
"lang": "python",
"repo": "spyysalo/multiling-cnn",
"path": "/testmlcnn.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> pred_Y = model.predict(test_X, verbose=0)
acc = (np.argmax(pred_Y, axis=1) == np.argmax(test_Y, axis=1)).mean()
print('accuracy:\t{:.4f}'.format(acc))
aucs = []
for c in range(num_classes):
try:
auc = roc_auc_score(test_Y[:, c], pred_Y[:, c])
except:
... | code_fim | hard | {
"lang": "python",
"repo": "spyysalo/multiling-cnn",
"path": "/testmlcnn.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lukew3/pythonlogbook path: /pythonlogbook/logbookenv/lib/python3.6/site-packages/mdutils/fileutils/fileutils.py
# Python
#
# This module implements a main class that allows to create markdown files, write in them or read.
#
# This file is part of mdutils. https://github.com/didix21/mdutils
#... | code_fim | hard | {
"lang": "python",
"repo": "lukew3/pythonlogbook",
"path": "/pythonlogbook/logbookenv/lib/python3.6/site-packages/mdutils/fileutils/fileutils.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Read a Markdown file using a file name. It is not necessary to add *.md extension.
:param file_name: Markdown file's name.
:type file_name: str
:return: return all file's data.
:rtype: str"""
if file_name.find('.md') == -1:
file_name... | code_fim | hard | {
"lang": "python",
"repo": "lukew3/pythonlogbook",
"path": "/pythonlogbook/logbookenv/lib/python3.6/site-packages/mdutils/fileutils/fileutils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if file_name.find('.md') == -1:
file_name += '.md'
with open(file_name, 'r', encoding='utf-8') as file:
file_data = file.read()
return file_data
if __name__ == '__main__':
new_file = MarkDownFile('Example')
new_file.rewrite_all_file(da... | code_fim | hard | {
"lang": "python",
"repo": "lukew3/pythonlogbook",
"path": "/pythonlogbook/logbookenv/lib/python3.6/site-packages/mdutils/fileutils/fileutils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: SamiaAitAyadGoncalves/codewars-1 path: /Python/5kyu/Beeramid.py
# https://www.codewars.com/kata/51e04f6b544cf3f6550000c1
#
# Let's pretend your company just hired your friend from college and paid you a
# referral bonus. Awesome! To celebrate, you're taking your team out to the terrible
# dive ba... | code_fim | medium | {
"lang": "python",
"repo": "SamiaAitAyadGoncalves/codewars-1",
"path": "/Python/5kyu/Beeramid.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> cans = bonus//price
i = 0
can_count = 0
while can_count <= cans:
i += 1
can_count += i*i
return max(i-1, 0)<|fim_prefix|># repo: SamiaAitAyadGoncalves/codewars-1 path: /Python/5kyu/Beeramid.py
# https://www.codewars.com/kata/51e04f6b544cf3f6550000c1
#
# Let's pretend... | code_fim | medium | {
"lang": "python",
"repo": "SamiaAitAyadGoncalves/codewars-1",
"path": "/Python/5kyu/Beeramid.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Britefury/batchup path: /batchup/tests/test_dataset.py
import pytest
import os
import numpy as np
from . import test_config
def _get_data_dir():
return os.path.abspath('some_data_dir')
def _patch_config_datadir(monkeypatch):
from batchup import config
monkeypatch.setattr(config, ... | code_fim | hard | {
"lang": "python",
"repo": "Britefury/batchup",
"path": "/batchup/tests/test_dataset.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # clean up
f1.clean_up()
assert not os.path.exists(dest)
test_config._teardown_batchup_temp(tdir)
def test_CopySourceFile_acquire_arg(monkeypatch):
from batchup.datasets import dataset
import hashlib
tdir = test_config._setup_batchup_temp(monkeypatch)
source_path = os.... | code_fim | hard | {
"lang": "python",
"repo": "Britefury/batchup",
"path": "/batchup/tests/test_dataset.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: botpress/node-crfsuite-pos path: /py/__init__.py
TAGS_MAP = {
'-LRB-': 'PUNCT',
'-RRB-': 'PUNCT',
',': 'PUNCT',
':': 'PUNCT',
'.': 'PUNCT',
"''": 'PUNCT',
'""': 'PUNCT',
'``': 'PUNCT',
'#': 'SYM',
'$': 'SYM',
'ADD': 'X',
'AFX': 'ADJ',
'BES': 'VE... | code_fim | hard | {
"lang": "python",
"repo": "botpress/node-crfsuite-pos",
"path": "/py/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>CE',
'SYM': 'SYM',
'TO': 'PART',
'UH': 'INTJ',
'VB': 'VERB',
'VBD': 'VERB',
'VBG': 'VERB',
'VBN': 'VERB',
'VBP': 'VERB',
'VBZ': 'VERB',
'WDT': 'ADJ',
'WP': 'NOUN',
'WP$': 'ADJ',
'WRB': 'ADV',
'XX': 'X'
}<|fim_prefix|># repo: botpress/node-crfsuite-po... | code_fim | hard | {
"lang": "python",
"repo": "botpress/node-crfsuite-pos",
"path": "/py/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>ts=["scripts/s3_media_upload"],
install_requires=[
"boto3>=1.9.23<2.0",
"botocore>=1.12.23<2.0",
"humanize>=0.5.1<0.6",
"psycopg2>=2.7.5<3.0",
"PyYAML>=3.13<4.0",
"tqdm>=4.26.0<5.0",
"Twisted",
],
)<|fim_prefix|># repo: rkfg/synapse-s3-storag... | code_fim | medium | {
"lang": "python",
"repo": "rkfg/synapse-s3-storage-provider",
"path": "/setup.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>ize>=0.5.1<0.6",
"psycopg2>=2.7.5<3.0",
"PyYAML>=3.13<4.0",
"tqdm>=4.26.0<5.0",
"Twisted",
],
)<|fim_prefix|># repo: rkfg/synapse-s3-storage-provider path: /setup.py
from setuptools import setup
__version__ = "1.0"
setup(
name="synapse-s3-storage-provider",
v... | code_fim | medium | {
"lang": "python",
"repo": "rkfg/synapse-s3-storage-provider",
"path": "/setup.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: rkfg/synapse-s3-storage-provider path: /setup.py
from setuptools import setup
__version__ = "1.0"
setup(
name="synapse-s3-storage-provider",
version=__version__,
zip<|fim_suffix|>ize>=0.5.1<0.6",
"psycopg2>=2.7.5<3.0",
"PyYAML>=3.13<4.0",
"tqdm>=4.26.0<5.0",
... | code_fim | hard | {
"lang": "python",
"repo": "rkfg/synapse-s3-storage-provider",
"path": "/setup.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>len(str2) % i == 0):
if str1[:i] * (len(str1) // i) == str1 and \
str1[:i] * (len(str2) // i) == str2:
return str1[:i]
return ''<|fim_prefix|># repo: MDGSF/JustCoding path: /python-leetcode/1071.py
class Solution:
def gcdOfStrings(self, str1: str, str2: str) -> str:
... | code_fim | medium | {
"lang": "python",
"repo": "MDGSF/JustCoding",
"path": "/python-leetcode/1071.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> str1[:i] * (len(str2) // i) == str2:
return str1[:i]
return ''<|fim_prefix|># repo: MDGSF/JustCoding path: /python-leetcode/1071.py
class Solution:
def gcdOfStrings(self, str1: str, str2: str) -> str:
for i<|fim_middle|> in range(min(len(str1), len(str2)), 0, -1):
if (len(st... | code_fim | medium | {
"lang": "python",
"repo": "MDGSF/JustCoding",
"path": "/python-leetcode/1071.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MDGSF/JustCoding path: /python-leetcode/1071.py
class Solution:
def gcdOfStrings(self, str1: str, str2: str) -> str:
for i<|fim_suffix|>len(str2) % i == 0):
if str1[:i] * (len(str1) // i) == str1 and \
str1[:i] * (len(str2) // i) == str2:
return str1[:i]
retu... | code_fim | medium | {
"lang": "python",
"repo": "MDGSF/JustCoding",
"path": "/python-leetcode/1071.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ProzorroUKR/openprocurement.api path: /src/openprocurement/tender/cfaselectionua/tests/tender.py
# -*- coding: utf-8 -*-
import unittest
from copy import deepcopy
from openprocurement.api.tests.base import snitch
from openprocurement.tender.core.tests.base import (
test_exclusion_criteria,
... | code_fim | hard | {
"lang": "python",
"repo": "ProzorroUKR/openprocurement.api",
"path": "/src/openprocurement/tender/cfaselectionua/tests/tender.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>class TenderProcessTest(BaseTenderWebTest):
docservice = True
initial_data = test_tender_cfaselectionua_data
primary_tender_status = "draft"
initial_auth = ("Basic", ("broker", ""))
docservice = True
test_invalid_tender_conditions = snitch(invalid_tender_conditions)
test_one_v... | code_fim | hard | {
"lang": "python",
"repo": "ProzorroUKR/openprocurement.api",
"path": "/src/openprocurement/tender/cfaselectionua/tests/tender.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: openstack/neutron-tempest-plugin path: /neutron_tempest_plugin/tap_as_a_service/scenario/test_traffic_impact.py
# Copyright (c) 2019 AT&T
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the Lice... | code_fim | hard | {
"lang": "python",
"repo": "openstack/neutron-tempest-plugin",
"path": "/neutron_tempest_plugin/tap_as_a_service/scenario/test_traffic_impact.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> @decorators.idempotent_id('fcb15ca3-ef61-11e9-9792-f45c89c47e11')
@testtools.skipUnless(CONF.neutron_plugin_options.advanced_image_ref,
'Cloud image not found.')
@decorators.attr(type='slow')
@utils.services('compute', 'network')
def test_taas_forwarded_traffi... | code_fim | hard | {
"lang": "python",
"repo": "openstack/neutron-tempest-plugin",
"path": "/neutron_tempest_plugin/tap_as_a_service/scenario/test_traffic_impact.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: brunorijsman/euler-problems-python path: /euler/problem265.py
def recurse(n, ring, remaining, pos):
if pos == (2**n) - 2:
add_ring(n, ring)
else:
candidate = (ring[pos] & (2**(n-1) - 1)) << 1
consider(n, ring, remaining, pos, candidate)
consider(n, ring, re... | code_fim | medium | {
"lang": "python",
"repo": "brunorijsman/euler-problems-python",
"path": "/euler/problem265.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>def solve(n):
global sum
sum = 0
ring = {}
ring[0] = 0
ring[1] = 1
remaining = list(range(2, 2**n))
ring[2**n - 1] = 2**(n-1)
remaining.remove(2**(n-1))
recurse(n, ring, remaining, 1)
print sum
solve(5)<|fim_prefix|># repo: brunorijsman/euler-problems-python path:... | code_fim | hard | {
"lang": "python",
"repo": "brunorijsman/euler-problems-python",
"path": "/euler/problem265.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> 'icecaps.data_io',
'icecaps.util',
'icecaps.decoding',
'icecaps.estimators'
]
)<|fim_prefix|># repo: eabalo/Icecaps_Container_Build path: /icecaps/setup.py
from setuptools import setup
setup (
name='icecap<|fim_middle|>s',
version='0.2.0',
packages=['icecaps',
... | code_fim | easy | {
"lang": "python",
"repo": "eabalo/Icecaps_Container_Build",
"path": "/icecaps/setup.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: eabalo/Icecaps_Container_Build path: /icecaps/setup.py
from setuptools import setup
setup (
name='icecap<|fim_suffix|>icecaps.decoding',
'icecaps.estimators'
]
)<|fim_middle|>s',
version='0.2.0',
packages=['icecaps',
'icecaps.data_io',
'icecaps.util',
... | code_fim | medium | {
"lang": "python",
"repo": "eabalo/Icecaps_Container_Build",
"path": "/icecaps/setup.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>icecaps.decoding',
'icecaps.estimators'
]
)<|fim_prefix|># repo: eabalo/Icecaps_Container_Build path: /icecaps/setup.py
from setuptools import setup
setup (
name='icecap<|fim_middle|>s',
version='0.2.0',
packages=['icecaps',
'icecaps.data_io',
'icecaps.util',
... | code_fim | medium | {
"lang": "python",
"repo": "eabalo/Icecaps_Container_Build",
"path": "/icecaps/setup.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: PacktPublishing/Software-Architecture-with-Python path: /Chapter03/fakelogger.py
# Code Listing #2
import logging
class FakeLogger(object):
""" A class that fakes the interface of the
logging.Logger object in a minimalistic fashion """
def __init__(self):
self.lvl = logging... | code_fim | hard | {
"lang": "python",
"repo": "PacktPublishing/Software-Architecture-with-Python",
"path": "/Chapter03/fakelogger.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """ Log at error level """
if self.lvl<=logging.ERROR: return self._log(msg, *args)
def critical(self, msg, *args):
""" Log at critical level """
if self.lvl<=logging.CRITICAL: return self._log(msg, *args)<|fim_prefix|># repo: PacktPublishing/Software-Architecture-... | code_fim | hard | {
"lang": "python",
"repo": "PacktPublishing/Software-Architecture-with-Python",
"path": "/Chapter03/fakelogger.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> try:
os.makedirs(path)
except OSError as exception:
if exception.errno != errno.EEXIST:
raise<|fim_prefix|># repo: tjansse2/hep-monte-carlo path: /src/hepmc/core/a_nice_mc/logger.py
import logging
import sys
import os
import numpy as np
import pandas as pd
import errno... | code_fim | hard | {
"lang": "python",
"repo": "tjansse2/hep-monte-carlo",
"path": "/src/hepmc/core/a_nice_mc/logger.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tjansse2/hep-monte-carlo path: /src/hepmc/core/a_nice_mc/logger.py
import logging
import sys
import os
import numpy as np
import pandas as pd
import errno
def create_logger(module_name, level=logging.INFO):
logger = logging.getLogger(module_name)
logger.setLevel(level)
handler = log... | code_fim | medium | {
"lang": "python",
"repo": "tjansse2/hep-monte-carlo",
"path": "/src/hepmc/core/a_nice_mc/logger.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def ensure_directory(path):
try:
os.makedirs(path)
except OSError as exception:
if exception.errno != errno.EEXIST:
raise<|fim_prefix|># repo: tjansse2/hep-monte-carlo path: /src/hepmc/core/a_nice_mc/logger.py
import logging
import sys
import os
import numpy as np
imp... | code_fim | hard | {
"lang": "python",
"repo": "tjansse2/hep-monte-carlo",
"path": "/src/hepmc/core/a_nice_mc/logger.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # number of allowed heuristic trials per embedding
HEUR_TIMEOUT = 5 # allowed number of seconds for heuristic algorithm<|fim_prefix|># repo: retallickj/qca-embedding path: /gui/src/core/core_settings.py
#!/usr/bin/env python
# -----------------------------------
# Name: core_settings.py
# Desc... | code_fim | hard | {
"lang": "python",
"repo": "retallickj/qca-embedding",
"path": "/gui/src/core/core_settings.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: retallickj/qca-embedding path: /gui/src/core/core_settings.py
#!/usr/bin/env python
# -----------------------------------
# Name: core_settings.py
# Desc: Core settings for embedder<|fim_suffix|>--------------------------
DENSE_TRIALS = 10 # number of allowed dense placement trials per ... | code_fim | medium | {
"lang": "python",
"repo": "retallickj/qca-embedding",
"path": "/gui/src/core/core_settings.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: vitrine-app/server path: /games_catcher.py
from ctypes import *
games_catcher = cdll.LoadLibrary('./lib/games_catcher.so')
<|fim_suffix|>games_catcher.GetGame.argtypes = [c_int]
games_catcher.GetGame.restype = c_char_p
games_catcher.GetFirstGame.argtypes = [GoString]
games_catcher.GetFirstGam... | code_fim | medium | {
"lang": "python",
"repo": "vitrine-app/server",
"path": "/games_catcher.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>games_catcher.ResearchGames.argtypes = [GoString, c_int]
games_catcher.ResearchGames.restype = c_char_p<|fim_prefix|># repo: vitrine-app/server path: /games_catcher.py
from ctypes import *
games_catcher = cdll.LoadLibrary('./lib/games_catcher.so')
class GoString(Structure):
_fields_ = [('p', c_cha... | code_fim | medium | {
"lang": "python",
"repo": "vitrine-app/server",
"path": "/games_catcher.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if group_key is not None:
if group_key not in nodes_df:
raise Exception('Could not find column {}'.format(group_key))
groupings = nodes_df.groupby(group_key)
n_colors = nodes_df[group_key].nunique()
color_norm = colors.Normalize(vmin=0, vmax=(n_colors-1))
... | code_fim | hard | {
"lang": "python",
"repo": "NeoNeuron/bmtk",
"path": "/bmtk/analyzer/visualization/spikes.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: NeoNeuron/bmtk path: /bmtk/analyzer/visualization/spikes.py
O: Need to be able to handle gid or node_id
nodes_df = pd.DataFrame({'node_id': nodes_grp['node_id'], 'node_type_id': nodes_grp['node_type_id']})
#nodes_df = pd.DataFrame({'node_id': nodes_h5['/nodes/node_gid'], 'node_type_id': n... | code_fim | hard | {
"lang": "python",
"repo": "NeoNeuron/bmtk",
"path": "/bmtk/analyzer/visualization/spikes.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: NeoNeuron/bmtk path: /bmtk/analyzer/visualization/spikes.py
ot as plt
import matplotlib.cm as cmx
import matplotlib.colors as colors
import matplotlib.gridspec as gridspec
import bmtk.simulator.utils.config as config
from bmtk.utils.reports.spike_trains.plotting import plot_raster, plot_rates # ... | code_fim | hard | {
"lang": "python",
"repo": "NeoNeuron/bmtk",
"path": "/bmtk/analyzer/visualization/spikes.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: todrzywolek/word-learner path: /harness.py
from logic import Logic
import hints
from gui import open_file
class Harness:
FILE_OPEN_OPTIONS = dict(defaultextension='.txt',
filetypes=[('text files', '*.txt')],
title='Wybierz plik z li... | code_fim | hard | {
"lang": "python",
"repo": "todrzywolek/word-learner",
"path": "/harness.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self._logic = Logic()
self._language = '[GER]'
def start(self):
print('Program do slowek.\nWybierz plik')
f = open_file()
self._logic.load_file(f)
while not self._logic.empty():
word = self._logic.rand_word()
answer = word.get_t... | code_fim | hard | {
"lang": "python",
"repo": "todrzywolek/word-learner",
"path": "/harness.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> print('Program do slowek.\nWybierz plik')
f = open_file()
self._logic.load_file(f)
while not self._logic.empty():
word = self._logic.rand_word()
answer = word.get_translation()
user_input = input('Your Answer: ')
if user_inpu... | code_fim | hard | {
"lang": "python",
"repo": "todrzywolek/word-learner",
"path": "/harness.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Start Appium server and attach client
self.appium_service = AppiumService()
self.appium_service.start(args=['--address', '127.0.0.1', '-p', str(port)])
self.driver = webdriver.Remote("http://127.0.0.1:{0}/wd/hub".format(port), capabilities)
def stop(self):
if... | code_fim | hard | {
"lang": "python",
"repo": "nmladenov/pragmatic-mobile-testing",
"path": "/appium/appium-python-demos/utils/appium_session.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> @staticmethod
def free_port():
"""
Determines a free port using sockets.
"""
free_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
free_socket.bind(('0.0.0.0', 0))
free_socket.listen(5)
port = free_socket.getsockname()[1]
fr... | code_fim | hard | {
"lang": "python",
"repo": "nmladenov/pragmatic-mobile-testing",
"path": "/appium/appium-python-demos/utils/appium_session.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: nmladenov/pragmatic-mobile-testing path: /appium/appium-python-demos/utils/appium_session.py
import socket
import sys
from appium import webdriver
from appium.webdriver.appium_service import AppiumService
from webdriver_manager.chrome import ChromeDriverManager
class AppiumSession(object):
... | code_fim | hard | {
"lang": "python",
"repo": "nmladenov/pragmatic-mobile-testing",
"path": "/appium/appium-python-demos/utils/appium_session.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> img_o = np.asarray(Image.open(IMG_SELECT))
img_moy_3_3 = average_filter_auto(img_o, (3,3))
img_moy_5_5 = average_filter_auto(img_o, (5,5))
filtre = np.asarray([[1, 2, 1], [2, 4, 2], [1, 2, 1]])/16
img_moy_3_3_cent = average_filter(img_o, filtre)
img_bruit_gauss, bruit_gauss = gauss... | code_fim | medium | {
"lang": "python",
"repo": "Guitheg/iprocessing_training",
"path": "/main.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> moon = np.asarray(Image.open(MOON))
moon_lapla = simple_laplacian(moon, 4)
moon_rehau_lapla = simple_laplacian(moon, 0)
moon_rehau_lapla_diag = simple_laplacian(moon, 5)
u.view_img(moon, "[{}] Moon originale".format(os.path.basename(IMG_SELECT)), 9)
u.view_img(moon_lapla, "[{}] Mo... | code_fim | hard | {
"lang": "python",
"repo": "Guitheg/iprocessing_training",
"path": "/main.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Guitheg/iprocessing_training path: /main.py
import sys, os
from os.path import join
import numpy as np
import utils as u
from PIL import Image
from filtre import average_filter, average_filter_auto, gaussian_noise, simple_laplacian
MAIN = os.path.abspath(os.path.dirname(__file__))
DATA = join... | code_fim | hard | {
"lang": "python",
"repo": "Guitheg/iprocessing_training",
"path": "/main.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: svohara/svo_util path: /src/svo_util/text_ui.py
'''
Created on Dec 10, 2012
@author: Stephen O'Hara
Utility functions for various text-mode user interface
functions. Typically things like showing a dotted progress
bar during the iterations of some batch process, etc.
'''
import sys
<|fim_suffix... | code_fim | medium | {
"lang": "python",
"repo": "svohara/svo_util",
"path": "/src/svo_util/text_ui.py",
"mode": "psm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_suffix|> '''
This function can be called in a processing loop
to print out a progress indicator represented
by up to 10 lines of dots, where each line
represents completion of 10% of the total iterations.
@param cur: The current value (integer) of the iteration/count.
@param total: The... | code_fim | medium | {
"lang": "python",
"repo": "svohara/svo_util",
"path": "/src/svo_util/text_ui.py",
"mode": "spm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_suffix|>from functools import reduce
print(reduce(lambda a, y: a+y, [sin(x**i) for i in range(1, n+1)]))<|fim_prefix|># repo: mamaaravi/Python_Uni path: /1_loops.py
#sum=sin(x)+sin(x^2)+xin(x^3)+...+sin(x^n)
from math import sin
sum=0
<|fim_middle|>n=int(input("Enter n: "))
x=int(input("Enter x: "))
for i in ... | code_fim | medium | {
"lang": "python",
"repo": "mamaaravi/Python_Uni",
"path": "/1_loops.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mamaaravi/Python_Uni path: /1_loops.py
#sum=sin(x)+sin(x^2)+xin(x^3)+...+sin(x^n)
from math import sin
sum=0
n=int(input("Enter n: "))
x=int(input("Enter x: "))
for i in range(1,n+1):
sum+=sin(x**i)
<|fim_suffix|>from functools import reduce
print(reduce(lambda a, y: a+y, [sin(x**i) for i... | code_fim | easy | {
"lang": "python",
"repo": "mamaaravi/Python_Uni",
"path": "/1_loops.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pretalx/pretalx path: /src/pretalx/event/migrations/0018_auto_20190223_1543.py
# Generated by Django 2.1.5 on 2019-02-23 15:43
from django.db import migrations, models
<|fim_suffix|> dependencies = [
("submission", "0031_auto_20190223_0730"),
("event", "0017_auto_20180922_051... | code_fim | medium | {
"lang": "python",
"repo": "pretalx/pretalx",
"path": "/src/pretalx/event/migrations/0018_auto_20190223_1543.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> operations = [
migrations.AddField(
model_name="team",
name="limit_tracks",
field=models.ManyToManyField(blank=True, to="submission.Track"),
),
migrations.AlterField(
model_name="event",
name="timezone",
fi... | code_fim | medium | {
"lang": "python",
"repo": "pretalx/pretalx",
"path": "/src/pretalx/event/migrations/0018_auto_20190223_1543.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> calib(event)
# make a copy of the calibrated event for the camera frame case
# later we clean and paramretrize the 2 events in the same way
# but in 2 different frames to check they return compatible results
event_camera_frame = deepcopy(event)
telescope_po... | code_fim | hard | {
"lang": "python",
"repo": "mireianievas/ctapipe",
"path": "/ctapipe/reco/tests/test_HillasReconstructor.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mireianievas/ctapipe path: /ctapipe/reco/tests/test_HillasReconstructor.py
from copy import deepcopy
import numpy as np
from astropy import units as u
import pytest
from ctapipe.containers import ImageParametersContainer, HillasParametersContainer
from ctapipe.instrument import SubarrayDescripti... | code_fim | hard | {
"lang": "python",
"repo": "mireianievas/ctapipe",
"path": "/ctapipe/reco/tests/test_HillasReconstructor.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> if (moments_camera_frame.width.value > 0) and (moments_telescope_frame.width.value > 0):
event_camera_frame.dl1.tel[
tel_id
].parameters.hillas = moments_camera_frame
dl1.parameters.hillas = moments_telesco... | code_fim | hard | {
"lang": "python",
"repo": "mireianievas/ctapipe",
"path": "/ctapipe/reco/tests/test_HillasReconstructor.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: neil-n-zhang/ABRS path: /ABRS_behavior_analysis.py
#ABRS_behavior_analysis
import numpy as np
import scipy
from scipy import ndimage
from scipy import misc
import pickle
import pandas as pd
import time
import matplotlib.pyplot as plt
import cv2
import os
from ABRS_modules import discrete_radon... | code_fim | hard | {
"lang": "python",
"repo": "neil-n-zhang/ABRS",
"path": "/ABRS_behavior_analysis.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> idxNew = np.zeros((1,shIdx[1]))
idxNew[0,0:shIdx[1]] = idx[0,0:shIdx[1]]
idxS = idx
minDurWalk=5;
minDurSilence=5;
minDurAPW=10;
minDurAPA=30;
durRecAP = get_durations (idxAP)
shDurRecAP = np.shape(durRecAP)
for d in range(1,shDurRecAP[1]-1):
i... | code_fim | hard | {
"lang": "python",
"repo": "neil-n-zhang/ABRS",
"path": "/ABRS_behavior_analysis.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
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