text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_suffix|> Returns:
numpy.array adjacency matrix
"""
am = numpy.zeros([et.nodes.num_nds, et.nodes.num_nds], dtype=numpy.uint8)
for i in range(et.nodes.num_nds):
parents = et.nodes[i].parents.display()
if debug:
print 'node ', i, parents
for j in range(len(p... | code_fim | medium | {
"lang": "python",
"repo": "sergioluengosanchez/TSEM",
"path": "/export.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sergioluengosanchez/TSEM path: /export.py
# -------------------------------------------------------#
# Auxiliar functions for exporting elimination trees
# -------------------------------------------------------#
import numpy
def get_adjacency_matrix_from_et(et, debug = False):
<|fim_suffix|> ... | code_fim | medium | {
"lang": "python",
"repo": "sergioluengosanchez/TSEM",
"path": "/export.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Gets the adjacency matrix of the Bayesian network encoded by the elimination tree et
Args:
et (elimination_tree.ElimTree): Elimination tree
Returns:
numpy.array adjacency matrix
"""
am = numpy.zeros([et.nodes.num_nds, et.nodes.num_nds], dtype=numpy.uint8)
for i... | code_fim | medium | {
"lang": "python",
"repo": "sergioluengosanchez/TSEM",
"path": "/export.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> async def listener_close(app: Sanic, loop: AbstractEventLoop) -> None:
client = getattr(app, client_app_key)
await client.close()
return listener_setup, listener_close
def middlewares_factory(
*,
client_app_key: str = DEFAULT_CLIENT_APP_KEY,
request_duration_metric_n... | code_fim | hard | {
"lang": "python",
"repo": "adaco/aiodogstatsd",
"path": "/aiodogstatsd/contrib/sanic.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: adaco/aiodogstatsd path: /aiodogstatsd/contrib/sanic.py
from asyncio import AbstractEventLoop
from http import HTTPStatus
from typing import Awaitable, Callable, Optional, Tuple
from sanic import Sanic
from sanic.exceptions import MethodNotSupported, NotFound
from sanic.request import Request
fr... | code_fim | hard | {
"lang": "python",
"repo": "adaco/aiodogstatsd",
"path": "/aiodogstatsd/contrib/sanic.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> async def middleware_response(request: Request, response: HTTPResponse) -> None:
if _proceed_collecting(
request, response, collect_not_allowed, collect_not_found
):
request_duration = (
get_event_loop().time() - request.ctx._statsd_request_start... | code_fim | hard | {
"lang": "python",
"repo": "adaco/aiodogstatsd",
"path": "/aiodogstatsd/contrib/sanic.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: OsvaldoD/Django-blog path: /blog/views.py
from django.shortcuts import render
from .models import Post, Autor
<|fim_suffix|> post = Post.objects.get(pk=question_id)
context = {'id':post}
return render(request, 'blog/detail.html',context)<|fim_middle|># Create your views here.
def inde... | code_fim | hard | {
"lang": "python",
"repo": "OsvaldoD/Django-blog",
"path": "/blog/views.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> post = Post.objects.get(pk=question_id)
context = {'id':post}
return render(request, 'blog/detail.html',context)<|fim_prefix|># repo: OsvaldoD/Django-blog path: /blog/views.py
from django.shortcuts import render
from .models import Post, Autor
<|fim_middle|># Create your views here.
def inde... | code_fim | hard | {
"lang": "python",
"repo": "OsvaldoD/Django-blog",
"path": "/blog/views.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> posts = Post.objects.order_by('-data')
body = ''
for post in posts:
body = post.corpo[:250]
moment = str(post.data)
data = moment.split(' ')[0]
context = {'posts': posts,'corpo':body, 'data':data}
return render(request, 'blog/index.html', context)
def detail(r... | code_fim | medium | {
"lang": "python",
"repo": "OsvaldoD/Django-blog",
"path": "/blog/views.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: niterain/digsby path: /digsby/src/gui/native/win/winextensions.py
'''
This file will contain all platform-specific extensions or method replacements to wx API,
such as overriding wx.LaunchDefaultBrowser on Windows or adding wx.Window.Cut method.
'''
from peak.util.imports import lazyModule,... | code_fim | hard | {
"lang": "python",
"repo": "niterain/digsby",
"path": "/digsby/src/gui/native/win/winextensions.py",
"mode": "psm",
"license": "Python-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> return wx.Rect(rect.left, rect.top, rect.right - rect.left, rect.bottom - rect.top)
def GetRECT(win):
return wxRectToRECT(win.Rect)
def GetLRECT(win):
return wxRectToRECT(wx.RectS(win.GetSize()))
def _monkeypatch(*a, **k):
# Hack until patching methods works better in new bindi... | code_fim | hard | {
"lang": "python",
"repo": "niterain/digsby",
"path": "/digsby/src/gui/native/win/winextensions.py",
"mode": "spm",
"license": "Python-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> WindowClass.GetRECT = GetRECT
WindowClass.RECT = property(GetRECT)
WindowClass.GetLRECT = GetLRECT
WindowClass.LRECT = property(GetLRECT)
wx.Rect.FromRECT = staticmethod(wxRectFromRECT)
wx.Rect.RECT = property(wxRectToRECT)
whenImported('wx', _monkeypatch)<|fim_prefix|># re... | code_fim | hard | {
"lang": "python",
"repo": "niterain/digsby",
"path": "/digsby/src/gui/native/win/winextensions.py",
"mode": "spm",
"license": "Python-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: achillesrasquinha/spockpy path: /spockpy/_util/_util.py
# imports - standard imports
import io
import base64
# imports - third-party imports
import numpy as np
from PIL import Image
import cv2
def _resize_image(image, size, maintain_aspect_ratio = False):
copy = image.copy()
copy.thumb... | code_fim | hard | {
"lang": "python",
"repo": "achillesrasquinha/spockpy",
"path": "/spockpy/_util/_util.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> major, minor, patch = int(version[0]), int(version[1]), int(version[2])
return (major, minor, patch)
def _mount_roi(array, roi, color = (0, 255, 0), thickness = 1):
x, y, w, h = roi
cv2.rectangle(array, (x, y), (x + w, y + h), color = color, thickness = thickness)
return array
def... | code_fim | hard | {
"lang": "python",
"repo": "achillesrasquinha/spockpy",
"path": "/spockpy/_util/_util.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def updateXMLGauge(self, progress):
self.Gauge_XML.SetValue(progress)
def resetXMLGenerationButton(self):
# Reset XML generation button
self.updateXMLGauge(0)
self.formerXMLCorr = None
self.xmlButtonMode = BUTTON_GENERATE
self.Btn_XML.SetLabel('Get ... | code_fim | hard | {
"lang": "python",
"repo": "uds-lsv/ATC-Anno",
"path": "/annotator.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: uds-lsv/ATC-Anno path: /annotator.py
n "[]{}()" and styleBefore == stc.STC_P_OPERATOR:
braceAtCaret = caretPos - 1
# check after
if braceAtCaret < 0:
charAfter = self.GetCharAt(caretPos)
styleAfter = self.GetStyleAt(caretPos)
if ch... | code_fim | hard | {
"lang": "python",
"repo": "uds-lsv/ATC-Anno",
"path": "/annotator.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: uds-lsv/ATC-Anno path: /annotator.py
lHyp = fp.read().strip()
if self.showsASR:
self.TextEdit.SetValue(xmlHyp)
# Generate pure-text hypothesis
textHyp = stripXML(xmlHyp)
if self.showsASR:
self.TextNoXML.SetValue(text... | code_fim | hard | {
"lang": "python",
"repo": "uds-lsv/ATC-Anno",
"path": "/annotator.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>class RTPolarityExtractor(DataExtractor): #Used for the RT-PolarityData set
def __init__(self, filename):
self.filepath = filename
def process(self):
delchars = str.maketrans(
dict.fromkeys(''.join(c for c in map(chr, range(256)) if not (c.isalnum() or c.isspace()))))
... | code_fim | hard | {
"lang": "python",
"repo": "IanHTai/LSTM-stock-prediction",
"path": "/dataExtract/dataExtractor.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: IanHTai/LSTM-stock-prediction path: /dataExtract/dataExtractor.py
from abc import ABC, abstractmethod
import csv
import os
import numpy as np
import re
import pandas as pd
import pickle
from datetime import datetime
from datetime import timedelta
import math
class DataExtractor(ABC):
@abstr... | code_fim | hard | {
"lang": "python",
"repo": "IanHTai/LSTM-stock-prediction",
"path": "/dataExtract/dataExtractor.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
Turn into MultiIndex form after manual (scripted) tampering in CSV format, then store in pickle form
:param filename:
:return:
"""
df = pd.read_csv(filename, float_precision='high', header=[0,1,2])
#print(df.loc[(slice(None), slice(None)), 'Date... | code_fim | hard | {
"lang": "python",
"repo": "IanHTai/LSTM-stock-prediction",
"path": "/dataExtract/dataExtractor.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> assert( len(tmp) >= len(nfo[0]) )
line = tmp + line[len(tmp):]
elif _i == 6:
nfo = line.split()
tmp = '%1d' % radiate
assert( len(tmp) >= len(nfo[0]) )
line = tmp + line[len(tmp):]
fout.write(line)
return
def test():
ModelSuite(values_to_test=[1., 2., 4., 8., 16.])
#M... | code_fim | hard | {
"lang": "python",
"repo": "nmancinelli/PSPHOTON_POSO",
"path": "/tools/ModelSuite.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: nmancinelli/PSPHOTON_POSO path: /tools/ModelSuite.py
from os import mkdir, chdir, getcwd, symlink
from subprocess import Popen
class ModelSuite():
def __init__(self, name='TRIALS', param_to_test='freq', base_file='BASE_DOFILES/do.photon', values_to_test=[], SLURM = True):
root = get... | code_fim | hard | {
"lang": "python",
"repo": "nmancinelli/PSPHOTON_POSO",
"path": "/tools/ModelSuite.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Gomax-07/netclone100 path: /accounts/form.py
from django.contrib.auth.forms import UserCreationForm
from django import forms
from django.db import transaction
from .models import User, Customer, Employee
class CustomerSignUpForm(UserCreationForm):
<|fim_suffix|> @transaction.atomic
def s... | code_fim | hard | {
"lang": "python",
"repo": "Gomax-07/netclone100",
"path": "/accounts/form.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> @transaction.atomic
def save(self):
user = super().save(commit=False)
user.is_customer = True
user.first_name = self.cleaned_data.get('first_name')
user.last_name = self.cleaned_data.get('last_name')
user.email = self.cleaned_data.get('email')
user.s... | code_fim | medium | {
"lang": "python",
"repo": "Gomax-07/netclone100",
"path": "/accounts/form.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> print('Preproc ',stl_filename)
stl2vtk(stl_filename,vtk_filename)
command = """python src/convert_mesh.py -d 3 "%s" "%s" """ %(vtk_filename,vtk_filename)
os.system(command)<|fim_prefix|># repo: lucascbarbosa/INT path: /Manufatura Aditiva/Simulacao-GAN/Pipeline/3-Simulate_geometries/open-s... | code_fim | easy | {
"lang": "python",
"repo": "lucascbarbosa/INT",
"path": "/Manufatura Aditiva/Simulacao-GAN/Pipeline/3-Simulate_geometries/open-source/src/preproc.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lucascbarbosa/INT path: /Manufatura Aditiva/Simulacao-GAN/Pipeline/3-Simulate_geometries/open-source/src/preproc.py
import os
from src.stl2vtk import stl2vtk
<|fim_suffix|> print('Preproc ',stl_filename)
stl2vtk(stl_filename,vtk_filename)
command = """python src/convert_mesh.py -d 3 "... | code_fim | easy | {
"lang": "python",
"repo": "lucascbarbosa/INT",
"path": "/Manufatura Aditiva/Simulacao-GAN/Pipeline/3-Simulate_geometries/open-source/src/preproc.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Jewel-Hong/SC-projects path: /SC101Lecture_code/SC101_week5/palindrome.py
"""
File: palindrome.py
Name:
----------------------------
This program prints the answers of whether
'madam', 'step on no pets', 'Q', 'pythonyp', and
'notion' are palindrome using a recursive function
called is_palindrome(... | code_fim | hard | {
"lang": "python",
"repo": "Jewel-Hong/SC-projects",
"path": "/SC101Lecture_code/SC101_week5/palindrome.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if len(s) == 0:
return True
elif len(s) == 1:
return True
else:
if s[0] != s[len(s)-1]:
return False
else:
return is_palindrome(s[1:len(s)-1]) #注意上限不包含
if __name__ == '__main__':
main()<|fim_prefix|># repo: Jewel-Hong/SC-projects path: /SC101Lecture_code/SC101_week5/palindrome.py
"""
... | code_fim | hard | {
"lang": "python",
"repo": "Jewel-Hong/SC-projects",
"path": "/SC101Lecture_code/SC101_week5/palindrome.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tdruiva/cerificates path: /generate_certificate.py
# -*- coding: utf-8 -*-
import csv, re
import codecs, hashlib, os.path, unicodedata, string
from subprocess import Popen, PIPE
class Certificate:
<|fim_suffix|> def as_pdf(self):
inkscape = '/usr/bin/inkscape'
output_dir = os.getcwd()... | code_fim | hard | {
"lang": "python",
"repo": "tdruiva/cerificates",
"path": "/generate_certificate.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>with open(CSV_PATH, "rb") as csv_file:
rows = csv.reader(csv_file, delimiter='\t')
for row in rows:
name = row[0]
result = Certificate(name).as_pdf()
if os.path.isfile(result):
print 'Certificate: ' + name + ' ========= OK'
else:
print 'Certificate: ' + name + ' #########... | code_fim | hard | {
"lang": "python",
"repo": "tdruiva/cerificates",
"path": "/generate_certificate.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: franzihe/Python_Masterthesis path: /MEPS/calc_station_properties.py
# coding: utf-8
# In[ ]:
import sys
sys.path.append('/Volumes/SANDISK128/Documents/Thesis/Python/')
import fill_values as fv
import pandas as pd
import numpy as np
from scipy.integrate import simps
# In[ ]:
def find_station_... | code_fim | hard | {
"lang": "python",
"repo": "franzihe/Python_Masterthesis",
"path": "/MEPS/calc_station_properties.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def get_value_at_station(fn, var_ml,ens_memb,x,y):
var_ml = fn.variables[var_ml]
var_ml, dtype = fv.mask_array(var_ml,ens_memb,y,x)
var_ml = pd.DataFrame.from_dict(var_ml[:,:])
var_ml = np.fliplr(var_ml)
var_ml = np.ma.masked_where(np.isnan(var_ml), var_ml)
return(var_ml);
... | code_fim | hard | {
"lang": "python",
"repo": "franzihe/Python_Masterthesis",
"path": "/MEPS/calc_station_properties.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>output_path = "/scratch/wdjo224/deep_protein_binding/experiments/" + args.exp_name + "/test_results/{}".format(args.pid)
def test(rank, model):
idxs = test_idxs[rank]
print("pid: {}".format(os.getpid()))
result_summary = None
molecules = MoleculeDatasetCSV(
csv_file=args.D,
... | code_fim | hard | {
"lang": "python",
"repo": "wderekjones/deep_protein_binding",
"path": "/src/test.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: wderekjones/deep_protein_binding path: /src/test.py
import sys
sys.path.append("/scratch/wdjo224/deep_protein_binding")
import torch
torch.manual_seed(0)
import os
import time
import pandas as pd
import numpy as np
from tqdm import tqdm
from itertools import chain
from torch.utils.data.sampler im... | code_fim | hard | {
"lang": "python",
"repo": "wderekjones/deep_protein_binding",
"path": "/src/test.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> mi = ModelInstance(Model, alias='alias')
self.assertIsInstance(mi.deserialize(None, 'other'), Model)
self.assertIsInstance(mi.deserialize(None, 'existing'), Model)
self.assertRaises(colander.Invalid, mi.deserialize, None, 'missing')<|fim_prefix|># repo: pombredanne/glottolo... | code_fim | hard | {
"lang": "python",
"repo": "pombredanne/glottolog3",
"path": "/glottolog3/tests/test_unit.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pombredanne/glottolog3 path: /glottolog3/tests/test_unit.py
from unittest import TestCase
import colander
from glottolog3.models import Doctype
class Tests(TestCase):
def test_normalize_language_explanation(self):
from glottolog3.util import normalize_language_explanation
... | code_fim | hard | {
"lang": "python",
"repo": "pombredanne/glottolog3",
"path": "/glottolog3/tests/test_unit.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> @classmethod
def get(cls, val, key='id', default=None):
if val == 'other' and key == 'alias':
return Model()
if val == 'existing':
return Model()
return None
mi = ModelInstance(Model, a... | code_fim | hard | {
"lang": "python",
"repo": "pombredanne/glottolog3",
"path": "/glottolog3/tests/test_unit.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mvdwoord/PyGNS3 path: /tools/api_gen/_source/project_handler.py
ram is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later versi... | code_fim | hard | {
"lang": "python",
"repo": "mvdwoord/PyGNS3",
"path": "/tools/api_gen/_source/project_handler.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mvdwoord/PyGNS3 path: /tools/api_gen/_source/project_handler.py
software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# Thi... | code_fim | hard | {
"lang": "python",
"repo": "mvdwoord/PyGNS3",
"path": "/tools/api_gen/_source/project_handler.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> controller = Controller.instance()
project = controller.get_project(request.match_info["project_id"])
response.json(project)
@Route.put(
r"/projects/{project_id}",
status_codes={
200: "Node updated",
400: "Invalid request",
4... | code_fim | hard | {
"lang": "python",
"repo": "mvdwoord/PyGNS3",
"path": "/tools/api_gen/_source/project_handler.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
# ===================================================================================
# Analyze the results
# ===================================================================================
test_predictions = session.run(mean_x, feed_dict={input_data: test_data})
np.save('sine_... | code_fim | hard | {
"lang": "python",
"repo": "Shahip2016/quantum-neural-networks",
"path": "/function_fitting/function_fitting.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Shahip2016/quantum-neural-networks path: /function_fitting/function_fitting.py
# Copyright 2018 Xanadu Quantum Technologies Inc.
# 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 Lic... | code_fim | hard | {
"lang": "python",
"repo": "Shahip2016/quantum-neural-networks",
"path": "/function_fitting/function_fitting.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: henriklied/adsb-tools path: /adsb-filter.py
#!/usr/bin/env python
import json
import os, sys
import argparse
import zipfile
import uuid
import datetime
import requests, geojson
from shapely.geometry import Point, MultiPoint
from clint.textui import progress
parser = argparse.ArgumentParser(des... | code_fim | hard | {
"lang": "python",
"repo": "henriklied/adsb-tools",
"path": "/adsb-filter.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> out_tmpfile = 'filtered_%s.json' % date
zf = zipfile.ZipFile(f)
for info in zf.infolist():
try:
data = json.loads(zf.read(info.filename))
print "Working on", info.filename
for sample in data['acList']:
if 'Lat' in sample and 'Long' in sample and 'Icao' i... | code_fim | hard | {
"lang": "python",
"repo": "henriklied/adsb-tools",
"path": "/adsb-filter.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> print 'Downloading http://history.adsbexchange.com/Aircraftlist.json/%s.zip' % date
temp_file = '/tmp/adsb_%s.zip' % date
if not os.path.exists(temp_file):
r = requests.get('http://history.adsbexchange.com/Aircraftlist.json/%s.zip' % date, stream=True)
with open(temp_file, 'wb') as... | code_fim | hard | {
"lang": "python",
"repo": "henriklied/adsb-tools",
"path": "/adsb-filter.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def check_connectivity(config):
global diagram
test_result = '\033[40;32m{}\033[m'.format("TEST PASSED")
f = os.popen('ssh 10.212.93.44 virsh list | awk \'NR >2 { print $2 }\'')
running_vms = f.read().strip('\n')
# print("Following VMs are running:\n"+running_vms+"\n")
for s... | code_fim | hard | {
"lang": "python",
"repo": "amitinfo2k/deployment",
"path": "/setupremote/scripts/check_connectivity_spgw.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: amitinfo2k/deployment path: /setupremote/scripts/check_connectivity_spgw.py
import constants_spgw as constants
import ConfigParser
import ipaddress
import os
diagram = """\
+--------------+
Control+----------------> S1MME| MME |
... | code_fim | hard | {
"lang": "python",
"repo": "amitinfo2k/deployment",
"path": "/setupremote/scripts/check_connectivity_spgw.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>.3f" % (len(filter(lambda x : x > 0, A)) / N))
print ("%.3f" % (len(filter(lambda x : x < 0, A)) / N))
print ("%.3f" % (len(filter(lambda x : x == 0, A)) / N))<|fim_prefix|># repo: jamesandreou/hackerrank-solutions path: /warmup/hr_plus_minus.py
# hackerrank - Algorithms: Plus Minus
# Written by James An... | code_fim | medium | {
"lang": "python",
"repo": "jamesandreou/hackerrank-solutions",
"path": "/warmup/hr_plus_minus.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>da x : x < 0, A)) / N))
print ("%.3f" % (len(filter(lambda x : x == 0, A)) / N))<|fim_prefix|># repo: jamesandreou/hackerrank-solutions path: /warmup/hr_plus_minus.py
# hackerrank - Algorithms: Plus Minus
# Written by James Andreou, University of<|fim_middle|> Waterloo
N = float(raw_input())
A = map(int,... | code_fim | medium | {
"lang": "python",
"repo": "jamesandreou/hackerrank-solutions",
"path": "/warmup/hr_plus_minus.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jamesandreou/hackerrank-solutions path: /warmup/hr_plus_minus.py
# hackerrank - Algorithms: Plus Minus
# Written by James Andreou, University of<|fim_suffix|>.3f" % (len(filter(lambda x : x > 0, A)) / N))
print ("%.3f" % (len(filter(lambda x : x < 0, A)) / N))
print ("%.3f" % (len(filter(lambda x... | code_fim | medium | {
"lang": "python",
"repo": "jamesandreou/hackerrank-solutions",
"path": "/warmup/hr_plus_minus.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Nectar-Project/nectar-aliments-database path: /fdb/datasources/__init__.py
#from fdb.datasources.ciqual import CiqualDatasource
from fdb.datasources.cnf import CnfDatasource
class Datasources:
<|fim_suffix|> return self.datasources[0].generate()<|fim_middle|> def __init__(self):
... | code_fim | medium | {
"lang": "python",
"repo": "Nectar-Project/nectar-aliments-database",
"path": "/fdb/datasources/__init__.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __init__(self):
self.datasources = [
# Ciqual has not enough data
# CiqualDatasource()
CnfDatasource()
]
def generate(self):
return self.datasources[0].generate()<|fim_prefix|># repo: Nectar-Project/nectar-aliments-database path: /f... | code_fim | easy | {
"lang": "python",
"repo": "Nectar-Project/nectar-aliments-database",
"path": "/fdb/datasources/__init__.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: QQuick/zzz_Numscrypt path: /numscrypt/development/shipment/shipment_test.py
import os
import webbrowser
os.system ('clear')
shipDir = os.path.dirname (os.path.abspath (__file__)) .replace ('\\', '/')
rootDir = '/'.join (shipDir.split ('/')[ : -2])
def getAbsPath (relPath):
return '{... | code_fim | hard | {
"lang": "python",
"repo": "QQuick/zzz_Numscrypt",
"path": "/numscrypt/development/shipment/shipment_test.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> if fcallSwitch:
print ('Shipment test completed')
else:
input ('Close browser tabs opened by shipment test and press [enter] for fcall test')<|fim_prefix|># repo: QQuick/zzz_Numscrypt path: /numscrypt/development/shipment/shipment_test.py
import os
import webbrowser
os.system ('clear')
sh... | code_fim | hard | {
"lang": "python",
"repo": "QQuick/zzz_Numscrypt",
"path": "/numscrypt/development/shipment/shipment_test.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>os.system ('py39 test_install.py')
for fcallSwitch in (' ',):
# for fcallSwitch in (' ', '-f '): # Outcommented to save testing time
autoTest ('development/automated_tests/ndarray', 'autotest')
# test ('development/manual_tests/slicing_optimization', 'test')
if fcallSwitch:
print ('Shipme... | code_fim | hard | {
"lang": "python",
"repo": "QQuick/zzz_Numscrypt",
"path": "/numscrypt/development/shipment/shipment_test.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_deserialize(self):
o = self.TestClass(self.data.copy())
self.assertTrue((isinstance(o.id, str)))
self.assertEqual(o.id, 'abc')
self.assertTrue(isinstance(o.nb, int))
self.assertEqual(o.nb, 1)
self.assertEqual(o.created.isoformat(), '2020-11-12'... | code_fim | hard | {
"lang": "python",
"repo": "thaichat04/conciliator-python",
"path": "/tests/test_serializable.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: thaichat04/conciliator-python path: /tests/test_serializable.py
from unittest import TestCase
from conciliator.conciliatorobj import ConciliatorObj
import datetime
class TestSerializable(TestCase):
class TestClass(ConciliatorObj):
id: str
nb: int
isBool: bool
... | code_fim | hard | {
"lang": "python",
"repo": "thaichat04/conciliator-python",
"path": "/tests/test_serializable.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_serialize(self):
o = self.TestClass(self.data.copy())
d = o.serializes()
self.assertEqual(d, '{"id": "abc", "nb": 1, "isBool": true, "created": "2020-11-12", "ts_tz": "2020-10-20T16:40:40.036783+00:00", "ts_iso": "2020-10-20T16:40:40.036783", "ts_notrailingzeros": "202... | code_fim | hard | {
"lang": "python",
"repo": "thaichat04/conciliator-python",
"path": "/tests/test_serializable.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>if __name__=='__main__':
#输入日记
diary_file = open("diary",'a')
inputdiary(diary_file)
diary_file.close()
#输出日记
diary_file = open("diary",'r')
printdiary(diary_file)
diary_file.close()<|fim_prefix|># repo: LishuaiBeijing/OMOOC2py path: /_src/om2py3w/3wex0/diary_func.py
# -*-... | code_fim | medium | {
"lang": "python",
"repo": "LishuaiBeijing/OMOOC2py",
"path": "/_src/om2py3w/3wex0/diary_func.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: LishuaiBeijing/OMOOC2py path: /_src/om2py3w/3wex0/diary_func.py
# -*-coding=utf-8 -*-
def inputdiary(file):
print "逐行输入日记(exit表示结束输入)：\n"
diary_input = ""
while 1:
line = raw_input(" > ")
if line=="exit":
file.write(diary_input)
exit(0)
... | code_fim | medium | {
"lang": "python",
"repo": "LishuaiBeijing/OMOOC2py",
"path": "/_src/om2py3w/3wex0/diary_func.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> dataloader, size = build_dataloader(args.batch_size, args.num_workers, use_gpu, args.font, args.size,
args.from_unicode, args.to_unicode)
model = GAN(args.num_fakes, args.rand_dim, size, use_gpu)
criterion = BCELoss()
d_optimizer = torch.optim.SGD(mo... | code_fim | hard | {
"lang": "python",
"repo": "mo-vic/HanZiGan",
"path": "/main/train.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> os.environ['CUDA_VISIBLE_DEVICES'] = ','.join(args.gpu_ids)
if args.gpu_ids:
if torch.cuda.is_available():
use_gpu = True
torch.cuda.manual_seed_all(args.seed)
else:
use_gpu = False
else:
use_gpu = False
torch.manual_seed(args.s... | code_fim | hard | {
"lang": "python",
"repo": "mo-vic/HanZiGan",
"path": "/main/train.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mo-vic/HanZiGan path: /main/train.py
import os
import sys
import argparse
from datetime import datetime
import torch
from tensorboardX import SummaryWriter
from utils.utils import train
from utils.logger import Logger
from models.gan import GAN
from losses.bce import BCELoss
from utils.datalo... | code_fim | hard | {
"lang": "python",
"repo": "mo-vic/HanZiGan",
"path": "/main/train.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bugraahmetcaglar/ticket-system path: /wvenv/Lib/site-packages/online_users/middleware.py
from django.utils.deprecation import MiddlewareMixin
from online_users.models import OnlineUserActivity
<|fim_suffix|> user = request.user
if not user.is_authenticated:
return
... | code_fim | hard | {
"lang": "python",
"repo": "bugraahmetcaglar/ticket-system",
"path": "/wvenv/Lib/site-packages/online_users/middleware.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> user = request.user
if not user.is_authenticated:
return
OnlineUserActivity.update_user_activity(user)<|fim_prefix|># repo: bugraahmetcaglar/ticket-system path: /wvenv/Lib/site-packages/online_users/middleware.py
from django.utils.deprecation import MiddlewareMixin
f... | code_fim | hard | {
"lang": "python",
"repo": "bugraahmetcaglar/ticket-system",
"path": "/wvenv/Lib/site-packages/online_users/middleware.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: daviddrysdale/python-phonenumbers path: /python/phonenumbers/shortdata/region_IQ.py
"""Auto-generated file, do not edit by hand. IQ metadata"""
from ..phonemetadata import NumberFormat, PhoneNumberDesc, PhoneMetadata
PHONE_METADATA_IQ = PhoneMetadata(id='IQ', country_code=None, international_pre... | code_fim | hard | {
"lang": "python",
"repo": "daviddrysdale/python-phonenumbers",
"path": "/python/phonenumbers/shortdata/region_IQ.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>(national_number_pattern='(?:443|711\\d|998)\\d', example_number='4430', possible_length=(4, 5)),
sms_services=PhoneNumberDesc(national_number_pattern='(?:443|711\\d|998)\\d', example_number='4430', possible_length=(4, 5)),
short_data=True)<|fim_prefix|># repo: daviddrysdale/python-phonenumbers p... | code_fim | hard | {
"lang": "python",
"repo": "daviddrysdale/python-phonenumbers",
"path": "/python/phonenumbers/shortdata/region_IQ.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>tern='1(?:0[04]|15|22)', example_number='100', possible_length=(3,)),
short_code=PhoneNumberDesc(national_number_pattern='1(?:0[04]|15|22)|4432|71117|9988', example_number='100', possible_length=(3, 4, 5)),
carrier_specific=PhoneNumberDesc(national_number_pattern='(?:443|711\\d|998)\\d', example_n... | code_fim | hard | {
"lang": "python",
"repo": "daviddrysdale/python-phonenumbers",
"path": "/python/phonenumbers/shortdata/region_IQ.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lmc1993217/vnpy path: /vn.trader/ctaStrategy/SaveData.py
# -*- coding: utf-8 -*-
"""
Created on Mon May 08 19:51:42 2017
@author: lizard
"""
import pandas as pd
from WindPy import w
from datetime import datetime, timedelta
import pymongo
from time import time
from multiprocessing.pool import Thr... | code_fim | hard | {
"lang": "python",
"repo": "lmc1993217/vnpy",
"path": "/vn.trader/ctaStrategy/SaveData.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> bar.datetime = barDatetime
bar.date = bar.datetime.date().strftime('%Y%m%d')
bar.time = bar.datetime.time().strftime('%H:%M:%S')
bar.open = float(row['open'])
bar.high = float(row['high'])
bar.low = float(row['low'])
bar.close = float(row['c... | code_fim | hard | {
"lang": "python",
"repo": "lmc1993217/vnpy",
"path": "/vn.trader/ctaStrategy/SaveData.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: anasmatic/xRayArab path: /scripts/face_recognation.py
# -*- coding: utf-8 -*-
"""
Created on Sun Mar 7 22:24:46 2021
@author: Omnia
"""
from PIL import ImageGrab
import face_recognition
import pandas as pd
import numpy as np
import threading
import cv2
from vertical_layout import HorizontalImag... | code_fim | hard | {
"lang": "python",
"repo": "anasmatic/xRayArab",
"path": "/scripts/face_recognation.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>if results1[0] == True:
print("It's a picture of me!")
else:
print("It's not a picture of me!")
if results2[0] == True:
print("It's a picture of me!")
else:
print("It's not a picture of me!")
"""
db = []
first_image_list = []
loaddb()
print("db ready")
bar = HorizontalImageBar()
pr... | code_fim | hard | {
"lang": "python",
"repo": "anasmatic/xRayArab",
"path": "/scripts/face_recognation.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: 475763610/Darily path: /notes/demo/jingdong/urls.py
"""jingdong URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/2.1/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
... | code_fim | medium | {
"lang": "python",
"repo": "475763610/Darily",
"path": "/notes/demo/jingdong/urls.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>urlpatterns = [
# path('api-auth/', include('rest_framework.urls')),
# drf文档，title自定义
path('docs/', include_docs_urls(title='京东')),
# 生产环境开启配置
# re_path(r'^media/(?P<path>.*)$', serve, {"document_root": MEDIA_ROOT}),
# re_path(r'^static/(?P<path>.*)$', serve, {"document_root": STAT... | code_fim | hard | {
"lang": "python",
"repo": "475763610/Darily",
"path": "/notes/demo/jingdong/urls.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Nuitka/Nuitka path: /nuitka/build/inline_copy/lib/scons-3.1.2/SCons/Tool/filesystem.py
"""SCons.Tool.filesystem
Tool-specific initialization for the filesystem tools.
There normally shouldn't be any need to import this module directly.
It will usually be imported through the generic SCons.Tool.... | code_fim | hard | {
"lang": "python",
"repo": "Nuitka/Nuitka",
"path": "/nuitka/build/inline_copy/lib/scons-3.1.2/SCons/Tool/filesystem.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> return env.subst_target_source(env['COPYSTR'], 0, target, source)
copy_action = SCons.Action.Action( copy_action_func, copy_action_str )
def generate(env):
try:
env['BUILDERS']['CopyTo']
env['BUILDERS']['CopyAs']
except KeyError as e:
global copyToBuilder
if c... | code_fim | hard | {
"lang": "python",
"repo": "Nuitka/Nuitka",
"path": "/nuitka/build/inline_copy/lib/scons-3.1.2/SCons/Tool/filesystem.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: posguy99/comp660-fall2020 path: /src/M5_zombies.py
# base case example
# taken from https://www.shmoop.com/computer-science/recursion/base-case.html
# and shamelessly modified
<|fim_suffix|>
def escapeZombies(numberOfZombies):
"""Escape from the zombie horde
Args:
numberOfZombie... | code_fim | medium | {
"lang": "python",
"repo": "posguy99/comp660-fall2020",
"path": "/src/M5_zombies.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def escapeZombies(numberOfZombies):
"""Escape from the zombie horde
Args:
numberOfZombies ([int]): [number of zombies in vicinity]
"""
# the base case is the number of zombies, the test is whether or not
# there are still zombies around. As long as it's > 0, the
# recursi... | code_fim | medium | {
"lang": "python",
"repo": "posguy99/comp660-fall2020",
"path": "/src/M5_zombies.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> pass
def escapeZombies(numberOfZombies):
"""Escape from the zombie horde
Args:
numberOfZombies ([int]): [number of zombies in vicinity]
"""
# the base case is the number of zombies, the test is whether or not
# there are still zombies around. As long as it's > 0, the
... | code_fim | medium | {
"lang": "python",
"repo": "posguy99/comp660-fall2020",
"path": "/src/M5_zombies.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Jimmy-INL/google-research path: /basisnet/personalization/centralized_so_nwp/so_nwp_preprocessing.py
# coding=utf-8
# Copyright 2022 The Google Research Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
... | code_fim | hard | {
"lang": "python",
"repo": "Jimmy-INL/google-research",
"path": "/basisnet/personalization/centralized_so_nwp/so_nwp_preprocessing.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> return tf.concat([[bos], tokens], 0)
return to_ids
def batch_and_split(dataset, max_sequence_length,
batch_size):
return dataset.padded_batch(
batch_size, padded_shapes=[max_sequence_length + 1]).map(
split_input_target, num_parallel_calls=tf.data.experimenta... | code_fim | hard | {
"lang": "python",
"repo": "Jimmy-INL/google-research",
"path": "/basisnet/personalization/centralized_so_nwp/so_nwp_preprocessing.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> n = len(joints)
JJ_te = np.zeros((n, 3))
if num_q == 0:
print('Single body, there is no link')
else:
POS_j, ORI_j = f_kin_j(RR, AA, q, joints)
POS_e, ORI_e = f_kin_e(RR, AA, joints)
for i in range(n):
A_I_i = AA[joints[i], :, :]
... | code_fim | medium | {
"lang": "python",
"repo": "lirun-sat/spacerobot_dynamics",
"path": "/calc_jte.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lirun-sat/spacerobot_dynamics path: /calc_jte.py
import numpy as np
from Get_global_value import J_type
from Get_global_value import Qe
from Get_global_value import cc
from Get_global_value import Ez
from Get_global_value import ce
from Get_global_value import num_q
from f_kin_j import f_k... | code_fim | medium | {
"lang": "python",
"repo": "lirun-sat/spacerobot_dynamics",
"path": "/calc_jte.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: vasmedvedev/welltory_test path: /api/views.py
from rest_framework import viewsets
from api import serializers
from welltory import models
class SleepViewSet(viewsets.ReadOnlyModelViewSet):
queryset = models.Sleep.objects.all()
serializer_class = serializers.SleepSerializer
<|fim_suffix... | code_fim | hard | {
"lang": "python",
"repo": "vasmedvedev/welltory_test",
"path": "/api/views.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>class StepsViewSet(SleepViewSet):
queryset = models.Steps.objects.all()
serializer_class = serializers.StepsSerializer
class GeoViewSet(SleepViewSet):
queryset = models.Geo.objects.all()
serializer_class = serializers.GeoSerializer<|fim_prefix|># repo: vasmedvedev/welltory_test path: /a... | code_fim | hard | {
"lang": "python",
"repo": "vasmedvedev/welltory_test",
"path": "/api/views.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>rr)
exit(1)
c1=cnx.cursor()
c1.execute('select id,num,nam from admin')
for(id,num,nam) in c1:
print(id.__str__()+' '+num+' '+nam)
c1.close()
cnx.close()<|fim_prefix|># repo: NaiveWang/Just_for_Fun path: /Others/insertion.py
# coding=UTF-8
import mysql.connector
from mysql.connector import error... | code_fim | medium | {
"lang": "python",
"repo": "NaiveWang/Just_for_Fun",
"path": "/Others/insertion.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: NaiveWang/Just_for_Fun path: /Others/insertion.py
# coding=UTF-8
import mysql.connector
from mysql.connector import errorcode
try:
cnx = mysql.connector.connect(user='root',password='123123',host=None,database='coursesenrolling')
except mysql.connector.Error as err:
if err.errno == errorc... | code_fim | medium | {
"lang": "python",
"repo": "NaiveWang/Just_for_Fun",
"path": "/Others/insertion.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: CAMOBAP/conan-center-index path: /recipes/pfr/all/conanfile.py
from conans import ConanFile, tools
from conans.errors import ConanInvalidConfiguration
import os
class PfrConan(ConanFile):
name = "pfr"
description = "std::tuple like methods for user defined types without any macro or boi... | code_fim | hard | {
"lang": "python",
"repo": "CAMOBAP/conan-center-index",
"path": "/recipes/pfr/all/conanfile.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> include_folder = os.path.join(self._source_subfolder, "include")
self.copy(pattern=os.path.join(self._source_subfolder,
"LICENSE_1_0.txt"), dst="licenses", src=self.source_folder)
self.copy(pattern="*", dst="include", src=include_folder)
def package_id(self):... | code_fim | hard | {
"lang": "python",
"repo": "CAMOBAP/conan-center-index",
"path": "/recipes/pfr/all/conanfile.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># Provider Information
provider_info = dxchain.provider.info()
print(provider_info)<|fim_prefix|># repo: fanxx288/dxchainpy path: /example/provider_example.py
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
This file is used to demo features on Provider module
Author: DxChain Team
Created at: 2018121... | code_fim | medium | {
"lang": "python",
"repo": "fanxx288/dxchainpy",
"path": "/example/provider_example.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: fanxx288/dxchainpy path: /example/provider_example.py
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
This file is used to demo features on Provider module
<|fim_suffix|># import dxchainpy package
import dxchainpy
# declare a class object with self defined host
dxchain = dxchainpy.Dxchain()
... | code_fim | easy | {
"lang": "python",
"repo": "fanxx288/dxchainpy",
"path": "/example/provider_example.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>/<docname>','to_route':'property/detail'},
]<|fim_prefix|># repo: alijasim/Frappe-ERPNext path: /estate_app/routes.py
urlpatterns = [
{'from_route': '/property/detail/<doctypename>','to_route':'property/d<|fim_middle|>etail'},
# {'from_route': '/property/detail | code_fim | easy | {
"lang": "python",
"repo": "alijasim/Frappe-ERPNext",
"path": "/estate_app/routes.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: alijasim/Frappe-ERPNext path: /estate_app/routes.py
urlpatterns = [
{'from_route': '/property/<|fim_suffix|>/<docname>','to_route':'property/detail'},
]<|fim_middle|>detail/<doctypename>','to_route':'property/detail'},
# {'from_route': '/property/detail | code_fim | medium | {
"lang": "python",
"repo": "alijasim/Frappe-ERPNext",
"path": "/estate_app/routes.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: alijasim/Frappe-ERPNext path: /estate_app/routes.py
urlpatterns = [
{'from_route': '/property/detail/<doctypename>','to_route':'property/d<|fim_suffix|>/<docname>','to_route':'property/detail'},
]<|fim_middle|>etail'},
# {'from_route': '/property/detail | code_fim | easy | {
"lang": "python",
"repo": "alijasim/Frappe-ERPNext",
"path": "/estate_app/routes.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # VARS
self._addr_fifo = self.var("addr_fifo", self.config_width,
size=self.addr_fifo_depth,
packed=True,
explicit_array=True)
self._lin_addr_cnter = self.var("lin_addr_cnter", ... | code_fim | hard | {
"lang": "python",
"repo": "StanfordAHA/lake",
"path": "/lake/modules/agg_sram_shared_addr_gen.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> if ~self._rst_n:
self._wr_ptr = 0
self._rd_ptr = 0
self._addr_fifo = 0
self._addr_fifo_out = 0
elif self._mode[1] == 1:
if self._addr_fifo_wr_en:
self._wr_ptr = self._wr_ptr + 1
self._addr_fifo[self... | code_fim | hard | {
"lang": "python",
"repo": "StanfordAHA/lake",
"path": "/lake/modules/agg_sram_shared_addr_gen.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: StanfordAHA/lake path: /lake/modules/agg_sram_shared_addr_gen.py
from kratos import *
from functools import reduce
import operator
import kratos
from lake.attributes.config_reg_attr import ConfigRegAttr
from lake.passes.passes import lift_config_reg
from lake.attributes.formal_attr import Formal... | code_fim | hard | {
"lang": "python",
"repo": "StanfordAHA/lake",
"path": "/lake/modules/agg_sram_shared_addr_gen.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: meshack-mbuvi/ride-my-way-api path: /tests/testEditRides.py
import json
import unittest
from baseSetUp import Base
class EditRides(Base):
def setUp(self):
super().setUp()
self.app.post('/api/v1/users/rides',
data=json.dumps(self.ride),
... | code_fim | hard | {
"lang": "python",
"repo": "meshack-mbuvi/ride-my-way-api",
"path": "/tests/testEditRides.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_can_edit_non_existing_ride_offer(self):
"""test that user cannot change details of a non-existing offer"""
response = self.app.put('/api/v1/users/rides/-1',
data=json.dumps(self.ride),
content_type='application/json',
... | code_fim | hard | {
"lang": "python",
"repo": "meshack-mbuvi/ride-my-way-api",
"path": "/tests/testEditRides.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """View a dataframe of up to [count] most recent submissions.
This is a convenience method for use within the annotation flow. For full access to the underlying annotations,
connect to the table directly using the BigQuery client of your choice.
Args:
count: The number of the most ... | code_fim | hard | {
"lang": "python",
"repo": "broadinstitute/ml4h",
"path": "/ml4h/visualization_tools/annotation_storage.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
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