text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_suffix|> Arguments:
X, np array (test_samples, num_features)
Returns:
y_pred, np.array of int (test_samples)
"""
# TODO: Implement predict
# Hint: some of the code of the compute_loss_and_gradients
# can be reused
pred = np.zeros(X.shape[... | code_fim | hard | {
"lang": "python",
"repo": "temur-kh/dlcourse_ai",
"path": "/assignments/assignment2/model.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: temur-kh/dlcourse_ai path: /assignments/assignment2/model.py
import numpy as np
from layers import FullyConnectedLayer, ReLULayer, softmax_with_cross_entropy, l2_regularization, softmax
class TwoLayerNet:
""" Neural network with two fully connected layers """
def __init__(self, n_inpu... | code_fim | hard | {
"lang": "python",
"repo": "temur-kh/dlcourse_ai",
"path": "/assignments/assignment2/model.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> last_ts = 0
num_frames = 0
for fname in repo.iter_fnames():
print("{}: {}".format(fname, os.path.getsize(fname)))
with open(fname, "rb") as f:
fc = FrameContainer.read(f)
num_frames += len(list(fc.frames))
assert fc.dataSources[0].filename == os.... | code_fim | medium | {
"lang": "python",
"repo": "BioroboticsLab/bb_pipeline",
"path": "/test/test_scripts.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: BioroboticsLab/bb_pipeline path: /test/test_scripts.py
import os
import pytest
from pipeline.scripts.bb_pipeline import process_video as cmdline_process_video
from bb_binary import FrameContainer, Repository
try:
from mpi4py import MPI # noqa
run_mpi_test = True
except ImportError:
... | code_fim | medium | {
"lang": "python",
"repo": "BioroboticsLab/bb_pipeline",
"path": "/test/test_scripts.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> repo = Repository(path)
last_ts = 0
num_frames = 0
for fname in repo.iter_fnames():
print("{}: {}".format(fname, os.path.getsize(fname)))
with open(fname, "rb") as f:
fc = FrameContainer.read(f)
num_frames += len(list(fc.frames))
assert fc.d... | code_fim | medium | {
"lang": "python",
"repo": "BioroboticsLab/bb_pipeline",
"path": "/test/test_scripts.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tefra/xsdata-w3c-tests path: /output/instances/sunMeta/AGroupDef.py
qname="{http://www.w3.org/XML/2004/xml-schema-test-suite/}Description",
text="Attribute Use should has proper namespace prefix in the ref value to be... | code_fim | hard | {
"lang": "python",
"repo": "tefra/xsdata-w3c-tests",
"path": "/output/instances/sunMeta/AGroupDef.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> group declaration. (valid schema)"
),
AnyElement(
qname="{http://www.w3.org/XML/2004/xml-schema-test-suite/}Description",
text="Attribute Group use should has proper ref... | code_fim | hard | {
"lang": "python",
"repo": "tefra/xsdata-w3c-tests",
"path": "/output/instances/sunMeta/AGroupDef.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tefra/xsdata-w3c-tests path: /output/instances/sunMeta/AGroupDef.py
ExpectedOutcome.INVALID
),
],
current=Current(
status=Status.ACCEPTED,
date=XmlDate(2005, 6, 21)
),
name=... | code_fim | hard | {
"lang": "python",
"repo": "tefra/xsdata-w3c-tests",
"path": "/output/instances/sunMeta/AGroupDef.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>import django.core.handlers.wsgi
application = django.core.handlers.wsgi.WSGIHandler()<|fim_prefix|># repo: bertrand-caron/OMFraF path: /src/application.wsgi
from os import environ
from os.path import dirname
from sys import path
<|fim_middle|>path = dirname(__file__)
if path not in path:
path.appen... | code_fim | medium | {
"lang": "python",
"repo": "bertrand-caron/OMFraF",
"path": "/src/application.wsgi",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bertrand-caron/OMFraF path: /src/application.wsgi
from os import environ
from os.path import dirname
from sys import path
<|fim_suffix|>environ['DJANGO_SETTINGS_MODULE'] = 'omfraf.settings'
import django.core.handlers.wsgi
application = django.core.handlers.wsgi.WSGIHandler()<|fim_middle|>path ... | code_fim | medium | {
"lang": "python",
"repo": "bertrand-caron/OMFraF",
"path": "/src/application.wsgi",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>environ['DJANGO_SETTINGS_MODULE'] = 'omfraf.settings'
import django.core.handlers.wsgi
application = django.core.handlers.wsgi.WSGIHandler()<|fim_prefix|># repo: bertrand-caron/OMFraF path: /src/application.wsgi
from os import environ
from os.path import dirname
from sys import path
<|fim_middle|>path ... | code_fim | medium | {
"lang": "python",
"repo": "bertrand-caron/OMFraF",
"path": "/src/application.wsgi",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>0.405613" b="0.685198"/>
<Point x="-0.247059" o="1" r="0.503345" g="0.491534" b="0.730058"/>
<Point x="-0.121569" o="1" r="0.562399" g="0.54862" b="0.757616"/>
<Point x="0.00392157" o="1" r="0.621453" g="0.606075" b="0.785544"/>
<Point x="0.129412" o="1" r="0.680508" g="0.674971" b="0.8249... | code_fim | hard | {
"lang": "python",
"repo": "nagyist/ParaView",
"path": "/Wrapping/Python/paraview/_colorMaps.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: nagyist/ParaView path: /Wrapping/Python/paraview/_colorMaps.py
.0"/>
<Point x="0.25" r="0.9921568627450981" g="0.6823529411764706" b="0.3803921568627451" o="1.0"/>
<Point x="0.5" r="1" g="1" b="0.7490196078431373" o="1.0"/>
<Point x="0.75" r="0.6705882352941176" g="0.8666666666666667"... | code_fim | hard | {
"lang": "python",
"repo": "nagyist/ParaView",
"path": "/Wrapping/Python/paraview/_colorMaps.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: nagyist/ParaView path: /Wrapping/Python/paraview/_colorMaps.py
605351" o="1" r="0.962848" g="0.710445" b="0"/>
<Point x="0.73913" o="1" r="0.999469" g="0.600258" b="0.0176284"/>
<Point x="0.87291" o="1" r="0.994156" g="0.445975" b="0.193912"/>
<Point x="1" o="1" r="0.980407" g="0.2471... | code_fim | hard | {
"lang": "python",
"repo": "nagyist/ParaView",
"path": "/Wrapping/Python/paraview/_colorMaps.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Xue-TAN/Basic_Statistics_With_Python path: /plot_material.py
__init__(self, beta1, beta2, error_scale, data_size):
self.beta1 = beta1
self.beta2 = beta2
self.error_scale = error_scale
self.x = np.random.randint(1, data_size, data_size)
s... | code_fim | hard | {
"lang": "python",
"repo": "Xue-TAN/Basic_Statistics_With_Python",
"path": "/plot_material.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> rect = plt.Rectangle(
# (lower-left corner), width, height
(0.650, 0.633), 0.2645, 0.258, fill=False, color="k", lw=2,
zorder=1000, transform=fig.transFigure, figure=fig
)
fig.patches.extend([rect])
rect = plt.Rectangle(
# (lower-left corner), width, heig... | code_fim | hard | {
"lang": "python",
"repo": "Xue-TAN/Basic_Statistics_With_Python",
"path": "/plot_material.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Xue-TAN/Basic_Statistics_With_Python path: /plot_material.py
alpha = .7)
ax[1, 2].set_title(r'$Y={}+{}X+{}u$'.format(beta1, beta2, error_scale))
ax[1, 2].annotate(r'$\rho={:.4}$'.format(lrg7.x_y_cor()), xy=(0.1, 0.9), xycoords='axes fraction')
beta1, beta2, error_scale,data_size = ... | code_fim | hard | {
"lang": "python",
"repo": "Xue-TAN/Basic_Statistics_With_Python",
"path": "/plot_material.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Chillimeat/CAN-Fuzzer path: /fuzzer.py
ng=0, filename=None, id_length=MAX_ID_LENGTH - 1,
payload_length=MAX_PAYLOAD_LENGTH):
"""
A simple random id fuzzer algorithm.
Send random or static CAN payloads to random or static arbitration ids.
Uses CanActions to send/rec... | code_fim | hard | {
"lang": "python",
"repo": "Chillimeat/CAN-Fuzzer",
"path": "/fuzzer.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Chillimeat/CAN-Fuzzer path: /fuzzer.py
"#" + payload
if filename is not None:
write_directive_to_file(filename, arb_id, payload)
# --- [3]
# Methods that handle linear fuzzing.
# ---
def linear_file_fuzz(filename, logging=0):
"""
Use a given input file to send ca... | code_fim | hard | {
"lang": "python",
"repo": "Chillimeat/CAN-Fuzzer",
"path": "/fuzzer.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> elif response == "l":
for composite in composites:
print(composite[0] + "#" + composite[1])
print("Dumped directives currently in memory.")
else:
print("Invalid option, please select a valid option.")
# --- [5]
# Methods that handle br... | code_fim | hard | {
"lang": "python",
"repo": "Chillimeat/CAN-Fuzzer",
"path": "/fuzzer.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ruidacosta/SP500HistoryData path: /proccess.py
import sqlite3
filename = 'SP&500.csv'
conn = sqlite3.connect(':memory:')
tickers = []
def readInstruments():
first = True
with open(filename,'r') as fd:
for line in fd:
if not first:
tickers.append(str(line.replace('\r','').replace('\n... | code_fim | hard | {
"lang": "python",
"repo": "ruidacosta/SP500HistoryData",
"path": "/proccess.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> print "Loading tickers..."
readInstruments()
#print tickers
#startDB()
print "Create database..."
createSQLiteDB()
for ticker in tickers:
print "Inserting " + ticker + " data..."
insertSQLiteDB(readDataFiles(ticker),ticker)
conn.commit()
print "Creating csv file..."
sendToFile()
print "Don... | code_fim | hard | {
"lang": "python",
"repo": "ruidacosta/SP500HistoryData",
"path": "/proccess.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_instance(self):
self.assertTrue(isinstance(self.new_source, News_source))
if __name__ == '__main__':
unittest.main()<|fim_prefix|># repo: danalvin/news-highlights path: /tests/test_news_sources.py
import unittest
from app.models import News_sources
class News_sources_Test... | code_fim | hard | {
"lang": "python",
"repo": "danalvin/news-highlights",
"path": "/tests/test_news_sources.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: danalvin/news-highlights path: /tests/test_news_sources.py
import unittest
from app.models import News_sources
class News_sources_Test(unittest.Testcase):
"""
Test Class to test the behaviour of the News_sources class
"""
def setup(self):
'''
Set up method that w... | code_fim | medium | {
"lang": "python",
"repo": "danalvin/news-highlights",
"path": "/tests/test_news_sources.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pgThiago/learning-python path: /python-exercises-for-beginners/036.py
# Escreva um programa para aprovar um empréstimo bancário para a compra de uma casa.
# Pergunte o valor da casa, o salário do comprador e em quantos anos ele vai pagar
# A prestação mensal não poderá exceder 30% do salário ou ... | code_fim | medium | {
"lang": "python",
"repo": "pgThiago/learning-python",
"path": "/python-exercises-for-beginners/036.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>u salário de {salario:.2f}')
print('Empréstimo negado')
elif prestacao <= exced:
print(f'Para pagar uma casa de R$:{valor} em {anos} anos a sua parcela será igual a R$:{prestacao:.2f}')<|fim_prefix|># repo: pgThiago/learning-python path: /python-exercises-for-beginners/036.py
# Escreva um program... | code_fim | medium | {
"lang": "python",
"repo": "pgThiago/learning-python",
"path": "/python-exercises-for-beginners/036.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>class BAllWhiteBloodCancerMicroscopicImageTest(testing.DatasetBuilderTestCase):
DATASET_CLASS = B_All_White_Blood_Cancer_Microscopic_Image.\
BAllWhiteBloodCancerMicroscopicImage
SPLITS = {
'train': 2
}
if __name__ == "__main__":
testing.tes... | code_fim | medium | {
"lang": "python",
"repo": "yihangx/TensorFlow_Contribution",
"path": "/tensorflow_datasets/image/B_All_White_Blood_Cancer_Microscopic_Image_test.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: yihangx/TensorFlow_Contribution path: /tensorflow_datasets/image/B_All_White_Blood_Cancer_Microscopic_Image_test.py
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
<|fim_suffix|>
class BAllWhiteBloodCancerMicroscopicImageTest(testing.D... | code_fim | medium | {
"lang": "python",
"repo": "yihangx/TensorFlow_Contribution",
"path": "/tensorflow_datasets/image/B_All_White_Blood_Cancer_Microscopic_Image_test.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> for resource in ret.return_type.resources:
resource_name = resource.get('name')
schema = Schema(resource.get('schema'))
table = {'name': resource_name, 'title': resource.get('title', resource.get('name')),
'headers': schema.headers}
... | code_fim | hard | {
"lang": "python",
"repo": "rockychen-dpaw/ledger",
"path": "/wildlifelicensing/apps/returns/views.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: rockychen-dpaw/ledger path: /wildlifelicensing/apps/returns/views.py
import os
import shutil
import tempfile
from datetime import date
from django.views.generic.base import TemplateView
from django.shortcuts import render, get_object_or_404, redirect
from django.conf import settings
from django... | code_fim | hard | {
"lang": "python",
"repo": "rockychen-dpaw/ledger",
"path": "/wildlifelicensing/apps/returns/views.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Render a file.
Calls get_render_fn and inputs get_environment(),
get_context_data() and returns the render
"""
render = self.get_render_fn()
environment = self.get_environment()
context_data = self.get_context_data()
try:
ret... | code_fim | hard | {
"lang": "python",
"repo": "ddugue/stake",
"path": "/stake/renderer.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ddugue/stake path: /stake/renderer.py
import os
import logging
import unicodedata
import re
from . import logging
from jinja2 import Environment, BaseLoader, FileSystemLoader, TemplateNotFound, \
UndefinedError, Undefined
class SilentUndefined(Undefined):
""" Dont break pageloads beca... | code_fim | hard | {
"lang": "python",
"repo": "ddugue/stake",
"path": "/stake/renderer.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Return a callable that takes environment, ctxt_data and file"""
def render(environment, ctxt_data, file_path):
"Renders a jinja2 template"
logging.debug("Rendering with context data %s", ctxt_data)
template = environment.get_template(file_path)
... | code_fim | hard | {
"lang": "python",
"repo": "ddugue/stake",
"path": "/stake/renderer.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kai-wei-mo/epilepsy-guard path: /extract.py
import os
from PIL import Image
import requests
from io import BytesIO
# Based on https://gist.github.com/BigglesZX/4016539 (but adapted to be a
# generator that yields frames instead of a function that saves out frames)
def analyseImage(im):
'''
... | code_fim | hard | {
"lang": "python",
"repo": "kai-wei-mo/epilepsy-guard",
"path": "/extract.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> assert prevFrame.mode == frame.mode, "Different kinds of images."
assert prevFrame.size == frame.size, "Different sizes."
pairs = zip(prevFrame.getdata(), frame.getdata())
if len(prevFrame.getbands()) == 1:
# for gray-scale jpegs
dif = sum(abs(p1-p2... | code_fim | hard | {
"lang": "python",
"repo": "kai-wei-mo/epilepsy-guard",
"path": "/extract.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> pairs = zip(prevFrame.getdata(), frame.getdata())
if len(prevFrame.getbands()) == 1:
# for gray-scale jpegs
dif = sum(abs(p1-p2) for p1,p2 in pairs)
else:
dif = sum(abs(c1-c2) for p1,p2 in pairs for c1,c2 in zip(p1,p2))
ncomponents = pre... | code_fim | hard | {
"lang": "python",
"repo": "kai-wei-mo/epilepsy-guard",
"path": "/extract.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Kajiyu/MANNs path: /models/utils.py
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import torch
from torch.autograd import Variable
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import numpy as np
import os, sys
δ = 1e-6
def t_cuda(x, use_cuda):
if use_... | code_fim | hard | {
"lang": "python",
"repo": "Kajiyu/MANNs",
"path": "/models/utils.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def σ(input, axis=1):
"""Softmax on an axis
Softmax on an axis
Arguments:
input {Tensor} -- input Tensor
Keyword Arguments:
axis {number} -- axis on which to take softmax on (default: {1})
Returns:
Tensor -- Softmax output Tensor
"""
input_size = in... | code_fim | hard | {
"lang": "python",
"repo": "Kajiyu/MANNs",
"path": "/models/utils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>δ = 1e-6
def t_cuda(x, use_cuda):
if use_cuda:
return x.cuda()
else:
return x
def θ(a, b, dimA=2, dimB=2, normBy=2):
"""Batchwise Cosine distance
Cosine distance
Arguments:
a {Tensor} -- A 3D Tensor (b * m * w)
b {Tensor} -- A 3D Tensor (b * r * w)
... | code_fim | medium | {
"lang": "python",
"repo": "Kajiyu/MANNs",
"path": "/models/utils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: containers-kraken/heat path: /heat_integrationtests/functional/test_purge.py
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/li... | code_fim | medium | {
"lang": "python",
"repo": "containers-kraken/heat",
"path": "/heat_integrationtests/functional/test_purge.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_purge(self):
stack_identifier = self.stack_create(template=self.template)
self._stack_delete(stack_identifier)
stacks = dict((stack.id, stack) for stack in
self.client.stacks.list(show_deleted=True))
self.assertIn(stack_identifier.split('/... | code_fim | medium | {
"lang": "python",
"repo": "containers-kraken/heat",
"path": "/heat_integrationtests/functional/test_purge.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> if ds.GetRasterBand(1).Checksum() != cs1:
print(ds.GetRasterBand(1).Checksum())
print(cs1)
gdaltest.post_reason('Wrong checksum')
return 'fail'
if ds.GetRasterBand(2).Checksum() != cs2:
print(ds.GetRasterBand(2).Checksum())
print(cs2)
gdalte... | code_fim | hard | {
"lang": "python",
"repo": "ShinNoNoir/gdal-1.11.5-vs2015",
"path": "/autotest/utilities/test_gdalbuildvrt.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ShinNoNoir/gdal-1.11.5-vs2015 path: /autotest/utilities/test_gdalbuildvrt.py
gdal.Open('tmp/mosaic.vrt')
if ds.GetProjectionRef().find('WGS 84') == -1:
gdaltest.post_reason('Expected WGS 84\nGot : %s' % (ds.GetProjectionRef()) )
return 'fail'
gt = ds.GetGeoTransform()
... | code_fim | hard | {
"lang": "python",
"repo": "ShinNoNoir/gdal-1.11.5-vs2015",
"path": "/autotest/utilities/test_gdalbuildvrt.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ShinNoNoir/gdal-1.11.5-vs2015 path: /autotest/utilities/test_gdalbuildvrt.py
sions : %d x %d' % (ds.RasterXSize, ds.RasterYSize) )
return 'fail'
if ds.RasterCount != 1:
gdaltest.post_reason('Wrong raster count : %d ' % (ds.RasterCount) )
return 'fail'
if ds.GetRa... | code_fim | hard | {
"lang": "python",
"repo": "ShinNoNoir/gdal-1.11.5-vs2015",
"path": "/autotest/utilities/test_gdalbuildvrt.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: nagyist/sentry path: /tests/sentry/api/endpoints/test_project_agnostic_rule_conditions.py
from django.urls import reverse
from sentry.testutils import APITestCase
from sentry.testutils.silo import region_silo_test
@region_silo_test(stable=True)
class ProjectAgnosticRuleConditionsTest(APITestCa... | code_fim | hard | {
"lang": "python",
"repo": "nagyist/sentry",
"path": "/tests/sentry/api/endpoints/test_project_agnostic_rule_conditions.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.login_as(user=self.user)
org = self.create_organization(owner=self.user, name="baz")
url = reverse("sentry-api-0-project-agnostic-rule-conditions", args=[org.slug])
response = self.client.get(url, format="json")
assert response.status_code == 200, response.con... | code_fim | medium | {
"lang": "python",
"repo": "nagyist/sentry",
"path": "/tests/sentry/api/endpoints/test_project_agnostic_rule_conditions.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> for i in range(iterations):
value = ''.join(''.join(tup) for tup in break_string(value))
return value
assert solution('1', 5) == '312211'
PUZZLE_INPUT = '1113222113'
part1 = len(solution(PUZZLE_INPUT, 40))
print(f'Part 1: {part1}')
part2 = len(solution(PUZZLE_INPUT, 50))
print(f'Part 2: {... | code_fim | medium | {
"lang": "python",
"repo": "M0nica/advent_of_code",
"path": "/advent_of_code/2015/day10/aoc_day_10.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def solution(value: str, iterations: int) -> str:
for i in range(iterations):
value = ''.join(''.join(tup) for tup in break_string(value))
return value
assert solution('1', 5) == '312211'
PUZZLE_INPUT = '1113222113'
part1 = len(solution(PUZZLE_INPUT, 40))
print(f'Part 1: {part1}')
part2 =... | code_fim | hard | {
"lang": "python",
"repo": "M0nica/advent_of_code",
"path": "/advent_of_code/2015/day10/aoc_day_10.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: M0nica/advent_of_code path: /advent_of_code/2015/day10/aoc_day_10.py
from typing import Generator, Tuple
def break_string(string: str) -> Generator[Tuple[int, int], None, None]:
<|fim_suffix|>def solution(value: str, iterations: int) -> str:
for i in range(iterations):
value = ''.jo... | code_fim | hard | {
"lang": "python",
"repo": "M0nica/advent_of_code",
"path": "/advent_of_code/2015/day10/aoc_day_10.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lham/tonguetwister path: /tonguetwister/gui/widgets/generic/actionbar.py
from kivy.uix.boxlayout import BoxLayout
from kivy.uix.stacklayout import StackLayout
class ActionBarPanel(BoxLayout):
spacing = 10
orientation = 'vertical'
<|fim_suffix|> return action_bar
def add_act... | code_fim | hard | {
"lang": "python",
"repo": "lham/tonguetwister",
"path": "/tonguetwister/gui/widgets/generic/actionbar.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return action_bar
def add_action_bar_widget(self, widget):
self.action_bar.add_widget(widget)<|fim_prefix|># repo: lham/tonguetwister path: /tonguetwister/gui/widgets/generic/actionbar.py
from kivy.uix.boxlayout import BoxLayout
from kivy.uix.stacklayout import StackLayout
class Ac... | code_fim | medium | {
"lang": "python",
"repo": "lham/tonguetwister",
"path": "/tonguetwister/gui/widgets/generic/actionbar.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: webclinic017/algotrading-47 path: /code/integrated-strategy/models/sentiment/collect_news_aastock.py
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from webdriver_manager.chrome import ChromeDriverManager
import datetime, time
from bs4 import BeautifulSoup
fr... | code_fim | hard | {
"lang": "python",
"repo": "webclinic017/algotrading-47",
"path": "/code/integrated-strategy/models/sentiment/collect_news_aastock.py",
"mode": "psm",
"license": "CC0-1.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> idx = 0
path = os.path.join(dir_name,'data-news/' + 'data-' + ticker.zfill(4) + '-aastock.csv')
action = 'a'
if (newstype == 'news-daily'):
action = 'w'
if (len(dates) > 0):
with open(path,action) as f:
writer = csv.writer(... | code_fim | hard | {
"lang": "python",
"repo": "webclinic017/algotrading-47",
"path": "/code/integrated-strategy/models/sentiment/collect_news_aastock.py",
"mode": "spm",
"license": "CC0-1.0",
"source": "the-stack-v2"
} |
<|fim_suffix|># Wyswietlenie grafu.
gnu('set terminal pdf enhanced')
gnu('set output "random_points.pdf"')
gnu('set grid')
gnu('unset key')
gnu('set size square')
#gnu('unset border')
#gnu('unset tics')
gnu('set xlabel "x"')
gnu('set ylabel "y"')
gnu('set title "Random points"')
gnu('set xrange [{}:{}]'.format(0, 1))
... | code_fim | medium | {
"lang": "python",
"repo": "ufkapano/planegeometry",
"path": "/planegeometry/structures/tests/random_points.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ufkapano/planegeometry path: /planegeometry/structures/tests/random_points.py
#!/usr/bin/env python2
#
# Gnuplot under Python
#
# http://gnuplot-py.sourceforge.net/
# Gnuplot.py is a Python package that interfaces to gnuplot.
#
# https://pypi.org/project/PyGnuplot/
# Python Gnuplot wrapper
# pip ... | code_fim | medium | {
"lang": "python",
"repo": "ufkapano/planegeometry",
"path": "/planegeometry/structures/tests/random_points.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: machinezone/rcc path: /rcc/runner/reshard.py
'''Tools to reshard a redis cluster
Copyright (c) 2020 Machine Zone, Inc. All rights reserved.
'''
import logging
import traceback
import click
from rcc.cluster.reshard import binPackingReshard
<|fim_suffix|> '''Reshard a cluster using the binp... | code_fim | hard | {
"lang": "python",
"repo": "machinezone/rcc",
"path": "/rcc/runner/reshard.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> try:
binPackingReshard(redis_url, password, user, weight, timeout, dry, node_id)
except Exception as e:
backtrace = traceback.format_exc()
logging.debug(f'traceback: {backtrace}')
logging.error(f'reshard error: {e}')<|fim_prefix|># repo: machinezone/rcc path: /rcc/... | code_fim | hard | {
"lang": "python",
"repo": "machinezone/rcc",
"path": "/rcc/runner/reshard.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.assertEqual(kPDFLineStyleNone, 0)
self.assertEqual(kPDFLineStyleSquare, 1)
self.assertEqual(kPDFLineStyleCircle, 2)
self.assertEqual(kPDFLineStyleDiamond, 3)
self.assertEqual(kPDFLineStyleOpenArrow, 4)
self.assertEqual(kPDFLineStyleClosedArrow, 5)
if ... | code_fim | medium | {
"lang": "python",
"repo": "danchr/pyobjc-git",
"path": "/pyobjc-framework-Quartz/PyObjCTest/test_PDFAnnotationLine.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: danchr/pyobjc-git path: /pyobjc-framework-Quartz/PyObjCTest/test_PDFAnnotationLine.py
from PyObjCTools.TestSupport import *
from Quartz.PDFKit import *
<|fim_suffix|> self.assertEqual(kPDFLineStyleNone, 0)
self.assertEqual(kPDFLineStyleSquare, 1)
self.assertEqual(kPDFLineS... | code_fim | medium | {
"lang": "python",
"repo": "danchr/pyobjc-git",
"path": "/pyobjc-framework-Quartz/PyObjCTest/test_PDFAnnotationLine.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sympy/sympy path: /sympy/sandbox/indexed_integrals.py
from sympy.tensor import Indexed
from sympy.core.containers import Tuple
from sympy.core.symbol import Dummy
from sympy.core.sympify import sympify
from sympy.integrals.integrals import Integral
class IndexedIntegral(Integral):
"""
E... | code_fim | hard | {
"lang": "python",
"repo": "sympy/sympy",
"path": "/sympy/sandbox/indexed_integrals.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> res = super().doit()
return res.xreplace(self._indexed_reverse_repl)
@staticmethod
def _indexed_process_limits(limits):
repl = {}
newlimits = []
for i in limits:
if isinstance(i, (tuple, list, Tuple)):
v = i[0]
vr... | code_fim | hard | {
"lang": "python",
"repo": "sympy/sympy",
"path": "/sympy/sandbox/indexed_integrals.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> s = ''.join(chr(i) for i in range(128))
assert text.parse(text.format(s)) == s<|fim_prefix|># repo: nipo/tdd path: /tdd/test/test_c40.py
from ..c40 import c40, text
def test_c40_parse():
assert c40.parse(b'\x57\xd3') == 'Ab'
assert c40.parse(b'\x7b\xa7') == 'FRA'
<|fim_middle|>def test_... | code_fim | hard | {
"lang": "python",
"repo": "nipo/tdd",
"path": "/tdd/test/test_c40.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: nipo/tdd path: /tdd/test/test_c40.py
from ..c40 import c40, text
def test_c40_parse():
assert c40.parse(b'\x57\xd3') == 'Ab'
assert c40.parse(b'\x7b\xa7') == 'FRA'
<|fim_suffix|>def test_c40_iso():
s = ''.join(chr(i) for i in range(128))
assert c40.parse(c40.format(s)) == s
def... | code_fim | medium | {
"lang": "python",
"repo": "nipo/tdd",
"path": "/tdd/test/test_c40.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: indico/indico-plugins-cern path: /foundationsync/indico_foundationsync/blueprint.py
# This file is part of the CERN Indico plugins.
# Copyright (C) 2014 - 2023 CERN
#
# The CERN Indico plugins are free software; you can redistribute
# them and/or modify them under the terms of the MIT License; se... | code_fim | medium | {
"lang": "python",
"repo": "indico/indico-plugins-cern",
"path": "/foundationsync/indico_foundationsync/blueprint.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>@blueprint.route('!/rooms/resolve/<building>/<floor>-<number>')
def resolve_room(building, floor, number):
room = Room.query.filter(
~Room.is_deleted,
Room.building == building,
Room.floor == floor,
Room.number == number
).one_or_none()
if not room:
rais... | code_fim | medium | {
"lang": "python",
"repo": "indico/indico-plugins-cern",
"path": "/foundationsync/indico_foundationsync/blueprint.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> mounting = root.mounting
hosts = mounting.get_machine_hosts()
if hosts:
for host in hosts:
ip_address = '0.0.0.0'
logger.cmd('Set host <b>%s</b> mapped at %s in /etc/hosts.' % (host, ip_address))
cmd = root.bash(
"docker",
... | code_fim | hard | {
"lang": "python",
"repo": "workon-io/docker-emperor",
"path": "/docker_emperor/commands/hosts/set.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> ip_address = '0.0.0.0'
logger.cmd('Set host <b>%s</b> mapped at %s in /etc/hosts.' % (host, ip_address))
cmd = root.bash(
"docker",
"run",
"-t",
"-i" ,
"-v", "%s/managehosts:/bin/manageho... | code_fim | hard | {
"lang": "python",
"repo": "workon-io/docker-emperor",
"path": "/docker_emperor/commands/hosts/set.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: workon-io/docker-emperor path: /docker_emperor/commands/hosts/set.py
import os
from docker_emperor.commands import Command
import docker_emperor.logger as logger
def run(root, *args, **kwargs):
<|fim_suffix|> for host in hosts:
ip_address = '0.0.0.0'
logger.cmd('... | code_fim | hard | {
"lang": "python",
"repo": "workon-io/docker-emperor",
"path": "/docker_emperor/commands/hosts/set.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def get_value(self, config):
pass<|fim_prefix|># repo: ajenti/ajenti path: /plugins/terminal/widget.py
from jadi import component
from aj.plugins.dashboard.api import Widget
<|fim_middle|>@component(Widget)
class ScriptWidget(Widget):
id = 'script'
name = _('Script')
template = ... | code_fim | hard | {
"lang": "python",
"repo": "ajenti/ajenti",
"path": "/plugins/terminal/widget.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ajenti/ajenti path: /plugins/terminal/widget.py
from jadi import component
from aj.plugins.dashboard.api import Widget
<|fim_suffix|> def get_value(self, config):
pass<|fim_middle|>@component(Widget)
class ScriptWidget(Widget):
id = 'script'
name = _('Script')
template = ... | code_fim | hard | {
"lang": "python",
"repo": "ajenti/ajenti",
"path": "/plugins/terminal/widget.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> Widget.__init__(self, context)
def get_value(self, config):
pass<|fim_prefix|># repo: ajenti/ajenti path: /plugins/terminal/widget.py
from jadi import component
from aj.plugins.dashboard.api import Widget
@component(Widget)
class ScriptWidget(Widget):
<|fim_middle|> id = 'script... | code_fim | hard | {
"lang": "python",
"repo": "ajenti/ajenti",
"path": "/plugins/terminal/widget.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ludeeus/custom-component-store path: /componentstore/view/component/the_store.py
"""View for 'The Store'."""
import componentstore.resources.html as load
from componentstore.functions.data import get_data, migration_needed
async def view():
"""View for 'The Store'."""
components = await... | code_fim | medium | {
"lang": "python",
"repo": "ludeeus/custom-component-store",
"path": "/componentstore/view/component/the_store.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> cardcontent += load.TEXT.format(components[component]['description'])
cardbutton = load.LINK.format(
url='/component/'+component, target='_self',
style='', id='', htmlclass='', extra='', text='More info')
content += load.BUTTON_CARD.format(
titl... | code_fim | hard | {
"lang": "python",
"repo": "ludeeus/custom-component-store",
"path": "/componentstore/view/component/the_store.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: DavidSongGitHub/kbmod path: /analysis/filter_utils.py
import os
import sys
import shutil
import numpy as np
import pandas as pd
import multiprocessing as mp
from kbmodpy import kbmod as kb
from astropy.io import fits
from astropy.wcs import WCS
from skimage import measure
from sklearn.cluster imp... | code_fim | hard | {
"lang": "python",
"repo": "DavidSongGitHub/kbmod",
"path": "/analysis/filter_utils.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> Q = 0
R = np.copy(var)
R[R==0.] = 100.
xhat[0] = obs[0]
P[0] = R[0]
for k in range(1,len(obs)):
xhatminus[k] = xhat[k-1]
Pminus[k] = P[k-1] + Q
K[k] = Pminus[k] / (Pminus[k] + R[k])
xhat[k] = xhatminus[k] + K[k]*(obs[k]-xhatminus[k])
... | code_fim | hard | {
"lang": "python",
"repo": "DavidSongGitHub/kbmod",
"path": "/analysis/filter_utils.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> i=0
for image in imageArray:
if off_edge[i] is False:
xmin = int(np.rint(measureCoords[i,1]-stampWidth[0]/2))
xmax = int(xmin + stampWidth[0])
ymin = int(np.rint(measureCoords[i,0]-stampWidth[1]/2))
ymax = int(ymin + stampWidth[1])
... | code_fim | hard | {
"lang": "python",
"repo": "DavidSongGitHub/kbmod",
"path": "/analysis/filter_utils.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>age.
# Use adaptive thresholding to "binarize" the image.
binarized = cv2.adaptiveThreshold(gray_blur, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY_INV, 11, 1)
return binarized<|fim_prefix|># repo: lfa9603/his_vis_detector path: /utils/binarize.py
import cv2
def binarizeFrame(f):
... | code_fim | medium | {
"lang": "python",
"repo": "lfa9603/his_vis_detector",
"path": "/utils/binarize.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lfa9603/his_vis_detector path: /utils/binarize.py
import cv2
def binarizeFrame(f):
# binarizing image
gray = cv2.cvtColor(f, cv2.COLOR_BGR2G<|fim_suffix|>(gray_blur, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY_INV, 11, 1)
return binarized<|fim_middle|>RAY)
gray_blur = c... | code_fim | medium | {
"lang": "python",
"repo": "lfa9603/his_vis_detector",
"path": "/utils/binarize.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>Answer: -1
Question 8
What is a good statement to describe the is operator as used in the following if statement:
if smallest is None :
smallest = value
The if statement is a syntax error
matches both type and value
Is true if the smallest variable has a value of -1
Looks up 'No... | code_fim | hard | {
"lang": "python",
"repo": "ZiqiPolimeros/Python4E",
"path": "/5 quiz.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ZiqiPolimeros/Python4E path: /5 quiz.py
Question 1
What is wrong with this Python loop:
n = 5
while n > 0 :
print n
print 'All done'
This loop will run forever
There should be no colon on the while statement
The print 'All done' statement should be indented four spaces
wh... | code_fim | hard | {
"lang": "python",
"repo": "ZiqiPolimeros/Python4E",
"path": "/5 quiz.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mperrin/jwst path: /jwst/lib/s3_utils.py
"""
Experimental support for reading reference files from S3. Use of these functions
requires installing the [aws] extras (but this module can be safely imported without
them).
"""
import atexit
__all__ = ["object_exists", "get_object", "get_client", "i... | code_fim | hard | {
"lang": "python",
"repo": "mperrin/jwst",
"path": "/jwst/lib/s3_utils.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> Returns
-------
bool
`True` if value is an S3 URI, `False` if not.
"""
return value.startswith("s3://")
def split_uri(uri):
"""
Split an S3 URI into bucket name and key components.
Parameters
----------
uri : str
S3 URI (s3://bucket-name/some/key)... | code_fim | hard | {
"lang": "python",
"repo": "mperrin/jwst",
"path": "/jwst/lib/s3_utils.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Twente-Mining/tezos-reward-distributor path: /src/cli/test_walletClientManager.py
from unittest import TestCase
from cli.wallet_client_manager import WalletClientManager
class TestWalletClientManager(TestCase):
def test_parse_get_manager_for_contract_response(self):
response = """
... | code_fim | hard | {
"lang": "python",
"repo": "Twente-Mining/tezos-reward-distributor",
"path": "/src/cli/test_walletClientManager.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> response = """
Disclaimer:
The Tezos network is a new blockchain technology.
Users are solely responsible for any risks associated
with usage of the Tezos network. Users should do their
own re... | code_fim | hard | {
"lang": "python",
"repo": "Twente-Mining/tezos-reward-distributor",
"path": "/src/cli/test_walletClientManager.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: zhaojiedi1992/MyStudyPython path: /IO编程/文件读写.py
try:
f = open('/path/to/file', 'r')
print(f.read())
finally:
if f:
f.close()
with open('/path/to/file', 'r') as f:
print(f.read())
<|fim_suffix|>
#stringio. byteio
from io import StringIO
f = StringIO()
f.write("hello")
f.... | code_fim | medium | {
"lang": "python",
"repo": "zhaojiedi1992/MyStudyPython",
"path": "/IO编程/文件读写.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> from io import BytesIO
f = BytesIO()
f.write("中文".encode(encoding='utf-8'))
print(f.getvalue())<|fim_prefix|># repo: zhaojiedi1992/MyStudyPython path: /IO编程/文件读写.py
try:
f = open('/path/to/file', 'r')
print(f.read())
finally:
if f:
f.close()
with open('/path/to/file', 'r') as f:
... | code_fim | medium | {
"lang": "python",
"repo": "zhaojiedi1992/MyStudyPython",
"path": "/IO编程/文件读写.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
#stringio. byteio
from io import StringIO
f = StringIO()
f.write("hello")
f.write("world!")
print(f.getvalue())
from io import BytesIO
f = BytesIO()
f.write("中文".encode(encoding='utf-8'))
print(f.getvalue())<|fim_prefix|># repo: zhaojiedi1992/MyStudyPython path: /IO编程/文件读写.py
try:
f = open('/p... | code_fim | medium | {
"lang": "python",
"repo": "zhaojiedi1992/MyStudyPython",
"path": "/IO编程/文件读写.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: qparis/DecisionAmbiguityRecognition path: /src/VideoDownload.py
# Code written by Pavel Jahoda
from __future__ import unicode_literals
import youtube_dl
import os
import subprocess
import requests
class MyLogger(object):
def debug(self, msg):
pass
def warning(self, msg):
... | code_fim | hard | {
"lang": "python",
"repo": "qparis/DecisionAmbiguityRecognition",
"path": "/src/VideoDownload.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> print('Merging audio and video')
pathToOutput = videoPath.split('/')[0]
outputVideoName = videoName.split('.')[0]
finalOutput = pathToOutput+'/'+outputVideoName
commandToCall = 'ffmpeg -loglevel panic -i '+videoPath+' -i '+self.audioTitle+' -c copy '+finalOutput+'.m... | code_fim | hard | {
"lang": "python",
"repo": "qparis/DecisionAmbiguityRecognition",
"path": "/src/VideoDownload.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> with youtube_dl.YoutubeDL(self.audioOptions) as ydlAudio:
ydlAudio.download([url])
print('Done converting')
def MergeAudioAndVideo(self,videoPath,videoName):
print('Merging audio and video')
pathToOutput = videoPath.split('/')[0]
outputVideoName = ... | code_fim | hard | {
"lang": "python",
"repo": "qparis/DecisionAmbiguityRecognition",
"path": "/src/VideoDownload.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Form training batches
dataset = tf.data.Dataset.from_tensor_slices(all_fname_numbers)
dataset = dataset.shuffle(buffer_size=all_fname_numbers.shape[0],
reshuffle_each_iteration=True)
dataset = dataset.repeat(None)
dataset = da... | code_fim | hard | {
"lang": "python",
"repo": "antonilo/unsupervised_detection",
"path": "/data/fbms_data_utils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: antonilo/unsupervised_detection path: /data/fbms_data_utils.py
def __init__(self, directory, part='train', for_testing=False, test_temporal_t=1):
self.directory = directory
self.num_experiments = 0
self.samples_per_cat = {}
parsing_dir ={'train': ['Trainingset']... | code_fim | hard | {
"lang": "python",
"repo": "antonilo/unsupervised_detection",
"path": "/data/fbms_data_utils.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: antonilo/unsupervised_detection path: /data/fbms_data_utils.py
'val' : ['Testset'],
'trainval': ['Trainingset', 'Testset']}
data_dirs = [os.path.join(directory, d) for d in parsing_dir.get(part)]
for d in data_dirs:
if not os.p... | code_fim | hard | {
"lang": "python",
"repo": "antonilo/unsupervised_detection",
"path": "/data/fbms_data_utils.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> **Arguments:** Pass a voltage clamping stimulus, either ``h.SEClamp`` or ``h.VClamp``. The argument is optional. It is the keyword argument __voltclamp__. By default it is "SEClamp" because for NEURON this is the `recommended voltage clamping method <https://www.neuron.yale.edu/phpBB/viewtopic.php... | code_fim | hard | {
"lang": "python",
"repo": "cerebunit/cerebmodels",
"path": "/managers/operatorsYield/recorder.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cerebunit/cerebmodels path: /managers/operatorsYield/recorder.py
# ~/managers/operatorsYield/recorder.py
import numpy as np
from random import randint
from neuron import h
class Recorder(object):
"""
** Available methods:**
+---------------------------------------------------+-----... | code_fim | hard | {
"lang": "python",
"repo": "cerebunit/cerebmodels",
"path": "/managers/operatorsYield/recorder.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>import matplotlib.pyplot as plt
fig = plt.figure()<|fim_prefix|># repo: sphinx-gallery/sphinx-gallery path: /sphinx_gallery/tests/tinybuild/examples/plot_scraper_broken.py
"""
Error during scraping
=====================
<|fim_middle|>The error is actually introduced by the resetter in ``conf.py``. It m... | code_fim | medium | {
"lang": "python",
"repo": "sphinx-gallery/sphinx-gallery",
"path": "/sphinx_gallery/tests/tinybuild/examples/plot_scraper_broken.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sphinx-gallery/sphinx-gallery path: /sphinx_gallery/tests/tinybuild/examples/plot_scraper_broken.py
"""
Error during scraping
=====================
<|fim_suffix|>import matplotlib.pyplot as plt
fig = plt.figure()<|fim_middle|>The error is actually introduced by the resetter in ``conf.py``. It m... | code_fim | medium | {
"lang": "python",
"repo": "sphinx-gallery/sphinx-gallery",
"path": "/sphinx_gallery/tests/tinybuild/examples/plot_scraper_broken.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: isaacmsl/byakuganv2 path: /byakugan/scripts/controle.py
from byakugan.msg import BoolStamped, SensoresDistanciaMsg, BotoesMsg, CtrlMotores, BoolGarras
from geometry_msgs.msg import Vector3Stamped
class Controle:
def __init__(self):
self.__btns = BotoesMsg()
self.__circulo = B... | code_fim | hard | {
"lang": "python",
"repo": "isaacmsl/byakuganv2",
"path": "/byakugan/scripts/controle.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.__centroid = centroid
def getDistancia(self, i):
return self.__dist.sensoresDistancia[i]<|fim_prefix|># repo: isaacmsl/byakuganv2 path: /byakugan/scripts/controle.py
from byakugan.msg import BoolStamped, SensoresDistanciaMsg, BotoesMsg, CtrlMotores, BoolGarras
from geometry_... | code_fim | hard | {
"lang": "python",
"repo": "isaacmsl/byakuganv2",
"path": "/byakugan/scripts/controle.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.__btns = BotoesMsg()
self.__circulo = BoolStamped()
self.__coordenadaCirculo = Vector3Stamped()
self.__dist = SensoresDistanciaMsg()
self.__centroid = BoolStamped()
def btnsCb(self, btns):
self.__btns = btns
def temCirculoCb(self, circulo):
... | code_fim | medium | {
"lang": "python",
"repo": "isaacmsl/byakuganv2",
"path": "/byakugan/scripts/controle.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
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