text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_suffix|>Configure urls for rest api.
"""
from django.conf.urls import url, include
from rest_framework import routers
from repo_health.gh_projects.views import GhProjectViewSet
router = routers.DefaultRouter(trailing_slash=False)
router.register('gh-projects', GhProjectViewSet, base_name='gh-project')
urlpatte... | code_fim | medium | {
"lang": "python",
"repo": "jakeharding/repo-health",
"path": "/repo_health/rest_api/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jakeharding/repo-health path: /repo_health/rest_api/__init__.py
"""
__init__.py - (C) Copyright - 2017
This software is copyrighted to contributors listed in CONTRIBUTIONS.md.
SPDX-License-Identifier: MIT
<|fim_suffix|>Configure urls for rest api.
"""
from django.conf.urls import url, include
... | code_fim | medium | {
"lang": "python",
"repo": "jakeharding/repo-health",
"path": "/repo_health/rest_api/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ariloulaleelay/yaost path: /yaost/path.py
# coding: utf8
import logging
from math import acos, pi, sqrt
from .base import Node
from .vector import Vector
logger = logging.getLogger(__name__)
def point_orientation(a, b, c):
"""Returns the orientation of the triangle a, b, c.
Return T... | code_fim | hard | {
"lang": "python",
"repo": "ariloulaleelay/yaost",
"path": "/yaost/path.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def tx(self, x):
return self.translate(x=x)
def ty(self, y):
return self.translate(y=y)
def tz(self, z):
return self.translate(z=z)
def extrude(self, *args, **kwargs):
return self.polygon().extrude(*args, **kwargs)
def stitch_slices(slices, convexity=10... | code_fim | hard | {
"lang": "python",
"repo": "ariloulaleelay/yaost",
"path": "/yaost/path.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cvigoe/DRL4MAAS path: /rlkit/rlkit/data_management/mb_start_selectors.py
"""
Methods for collecting starts for model based methods.
Author: Ian Char
"""
import abc
from typing import Optional
import numpy as np
from rlkit.data_management.offline_data_store import OfflineDataStore
class StartS... | code_fim | hard | {
"lang": "python",
"repo": "cvigoe/DRL4MAAS",
"path": "/rlkit/rlkit/data_management/mb_start_selectors.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>class DataStartStateSelector(StartSelector):
def __init__(
self,
data: OfflineDataStore,
true_starts: Optional[np.ndarray] = None,
prop_true: float = 0,
):
"""Constructor.
Args:
data: The data.
true_starts: St... | code_fim | medium | {
"lang": "python",
"repo": "cvigoe/DRL4MAAS",
"path": "/rlkit/rlkit/data_management/mb_start_selectors.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def get_starts(self, num_starts: int) -> np.ndarray:
"""Get start states."""
return np.random.uniform(
self._low_bounds,
self._high_bounds,
(num_starts, len(self._low_bounds)),
)<|fim_prefix|># repo: cvigoe/DRL4MAAS path: /rlkit/rlkit/data_m... | code_fim | hard | {
"lang": "python",
"repo": "cvigoe/DRL4MAAS",
"path": "/rlkit/rlkit/data_management/mb_start_selectors.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> #if the individual is not yet added to the friend_dict
if individual not in friend_dict:
friend_dict[individual] = set()
# add the individual set of immediate friends of 'individual'
# using a set, so there are no duplicate names
friend_dict[individual].add(friend)<|fim_pr... | code_fim | medium | {
"lang": "python",
"repo": "ken-sok/Social-Network-Analysis",
"path": "/immed_fri.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ken-sok/Social-Network-Analysis path: /immed_fri.py
#adapted from University of Melbourne's sample solution
def get_friendly_dict(friend_list):
''' this function takes list of friendship links 'friend_list' between 2 people as
argument, finds the immediate friend of each person and ret... | code_fim | hard | {
"lang": "python",
"repo": "ken-sok/Social-Network-Analysis",
"path": "/immed_fri.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> opt_fname = "{}/options.yaml".format(opt.output_path)
if os.path.isfile(opt_fname):
with open(opt_fname) as file:
opt_old = yaml.safe_load(file)
if opt!=opt_old:
# prompt if options are not identical
opt_new_fname = "{}/options_temp.yaml".format(... | code_fim | hard | {
"lang": "python",
"repo": "albertotono/signed-distance-SRN",
"path": "/options.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: albertotono/signed-distance-SRN path: /options.py
import numpy as np
import os,sys,time
import torch
import random
import string
import yaml
from easydict import EasyDict as edict
import util
from util import log
# torch.backends.cudnn.enabled = False
torch.backends.cudnn.benchmark = False
torc... | code_fim | hard | {
"lang": "python",
"repo": "albertotono/signed-distance-SRN",
"path": "/options.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def override_options(opt,opt_over,key_stack=None,safe_check=False):
for key,value in opt_over.items():
if isinstance(value,dict):
# parse child options (until leaf nodes are reached)
opt[key] = override_options(opt.get(key,dict()),value,key_stack=key_stack+[key],safe_ch... | code_fim | hard | {
"lang": "python",
"repo": "albertotono/signed-distance-SRN",
"path": "/options.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pareenj/cycleGAN-PyTorch path: /main.py
import os
from argparse import ArgumentParser
import model as md
from utils import create_link
import test as tst
# To get arguments from commandline
def get_args():
parser = ArgumentParser(description='cycleGAN PyTorch')
parser.add_argument('--ep... | code_fim | medium | {
"lang": "python",
"repo": "pareenj/cycleGAN-PyTorch",
"path": "/main.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> create_link(args.dataset_dir)
if args.training:
print("Training")
model = md.cycleGAN(args)
model.train(args)
if args.testing:
print("Testing")
tst.test(args)
if __name__ == '__main__':
main()<|fim_prefix|># repo: pareenj/cycleGAN-PyTorch path: /main.py
import os... | code_fim | hard | {
"lang": "python",
"repo": "pareenj/cycleGAN-PyTorch",
"path": "/main.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> args = get_args()
create_link(args.dataset_dir)
if args.training:
print("Training")
model = md.cycleGAN(args)
model.train(args)
if args.testing:
print("Testing")
tst.test(args)
if __name__ == '__main__':
main()<|fim_prefix|># repo: pareenj/cycleGAN-PyTorch pat... | code_fim | medium | {
"lang": "python",
"repo": "pareenj/cycleGAN-PyTorch",
"path": "/main.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: taareek/CSE_303_SEC_02_GROUP_07 path: /users/views.py
from django.shortcuts import render, redirect
#from django.contrib.auth.forms import UserCreationForm
from django.contrib import messages
from .forms import UserRegisterForm
from django.contrib.auth.decorators import login_required
def regis... | code_fim | medium | {
"lang": "python",
"repo": "taareek/CSE_303_SEC_02_GROUP_07",
"path": "/users/views.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def department_head(request):
return render(request, 'users/dhead.html')
def registrars_office(request):
return render(request, 'users/officeregister.html')
def vc(request):
return render(request,'users/Vc.html' )
def dean(request):
return render(request, 'users/Dean.html')
def departm... | code_fim | medium | {
"lang": "python",
"repo": "taareek/CSE_303_SEC_02_GROUP_07",
"path": "/users/views.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lupyuen/RaspberryPiImage path: /home/pi/GrovePi/Software/Python/others/temboo/Library/Zendesk/MonitoredTwitterHandles/__init__.py
from temboo.Library.Zendesk.MonitoredTwitterHandles.GetMonitoredTwitterHandle import GetMonitoredTwitterHandle, GetMonitoredTwitterHandleInputSet, GetMonitoredTwitterH... | code_fim | medium | {
"lang": "python",
"repo": "lupyuen/RaspberryPiImage",
"path": "/home/pi/GrovePi/Software/Python/others/temboo/Library/Zendesk/MonitoredTwitterHandles/__init__.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> temboo.Library.Zendesk.MonitoredTwitterHandles.ListMonitoredTwitterHandles import ListMonitoredTwitterHandles, ListMonitoredTwitterHandlesInputSet, ListMonitoredTwitterHandlesResultSet, ListMonitoredTwitterHandlesChoreographyExecution<|fim_prefix|># repo: lupyuen/RaspberryPiImage path: /home/pi/GrovePi/... | code_fim | medium | {
"lang": "python",
"repo": "lupyuen/RaspberryPiImage",
"path": "/home/pi/GrovePi/Software/Python/others/temboo/Library/Zendesk/MonitoredTwitterHandles/__init__.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def predict(self, image_array):
outputs = self.model.predict(image_array[None, :, :, :])
self.parse_outputs(outputs)
def parse_outputs(self, outputs):
res = []
for output in outputs:
for i in range(output.shape[0]):
res.append(output[i]... | code_fim | hard | {
"lang": "python",
"repo": "ethanburrell/DonkeySelfDriving-v1",
"path": "/src/predict_server.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ethanburrell/DonkeySelfDriving-v1 path: /src/predict_server.py
#!/usr/bin/env python
'''
Predict Server
Create a server to accept image inputs and run them against a trained neural network.
This then sends the steering output back to the client.
Author: Tawn Kramer
'''
from __future__ import prin... | code_fim | hard | {
"lang": "python",
"repo": "ethanburrell/DonkeySelfDriving-v1",
"path": "/src/predict_server.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> res = []
for output in outputs:
for i in range(output.shape[0]):
res.append(output[i])
self.on_parsed_outputs(res)
def on_parsed_outputs(self, outputs):
self.outputs = outputs
self.steering_angle = 0.0
self.throttle = 0.2
... | code_fim | hard | {
"lang": "python",
"repo": "ethanburrell/DonkeySelfDriving-v1",
"path": "/src/predict_server.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> "complete beams such that last word is complete word"
for (_, v) in self.beams.items():
lastPrefix = v.textual.wordDev
if lastPrefix == "" or lm.isWord(lastPrefix):
continue
# get word candidates for this prefix
words = lm.ge... | code_fim | hard | {
"lang": "python",
"repo": "Calamari-OCR/calamari",
"path": "/calamari_ocr/thirdparty/ctcwordbeamsearch/Beam.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Calamari-OCR/calamari path: /calamari_ocr/thirdparty/ctcwordbeamsearch/Beam.py
from __future__ import division
from __future__ import print_function
import copy
class Optical:
"optical score of beam"
def __init__(self, prBlank=0, prNonBlank=0):
self.prBlank = prBlank # prob o... | code_fim | hard | {
"lang": "python",
"repo": "Calamari-OCR/calamari",
"path": "/calamari_ocr/thirdparty/ctcwordbeamsearch/Beam.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # no complete word in text, then use unigram of all possible next words
numWords = len(beam.textual.wordHist)
prSum = 0
if numWords == 0:
for w in nextWords:
prSum += beam.lm... | code_fim | hard | {
"lang": "python",
"repo": "Calamari-OCR/calamari",
"path": "/calamari_ocr/thirdparty/ctcwordbeamsearch/Beam.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: carlestapi/BAFFLE path: /code/Phidget22Python/Phidget22/MeshMode.py
import sys
import ctypes
class MeshMode:
<|fim_suffix|> if val == self.MESHMODE_ROUTER:
return "MESHMODE_ROUTER"
if val == self.MESHMODE_SLEEPYENDDEVICE:
return "MESHMODE_SLEEPYENDDEVICE"
return "<invalid enumeration v... | code_fim | medium | {
"lang": "python",
"repo": "carlestapi/BAFFLE",
"path": "/code/Phidget22Python/Phidget22/MeshMode.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> @classmethod
def getName(self, val):
if val == self.MESHMODE_ROUTER:
return "MESHMODE_ROUTER"
if val == self.MESHMODE_SLEEPYENDDEVICE:
return "MESHMODE_SLEEPYENDDEVICE"
return "<invalid enumeration value>"<|fim_prefix|># repo: carlestapi/BAFFLE path: /code/Phidget22Python/Phidget22/MeshMode... | code_fim | medium | {
"lang": "python",
"repo": "carlestapi/BAFFLE",
"path": "/code/Phidget22Python/Phidget22/MeshMode.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
df2 = cp_df.merge(cz_df, how ='outer', left_on='desc', right_on='name')
df2.drop('name', axis=1, inplace=True)
df2= df2[df2['TG'].isna() == False]
df_main = df_main.merge(df2, how ='outer', left_on=['tomatch','TG'], right_on=['CODE','TG'])
df_main = df3.merge(df2, how ='outer', left_on=['tomatch','TG']... | code_fim | hard | {
"lang": "python",
"repo": "MarkMoretto/python-examples-main",
"path": "/stackoverflow-solutions/submission-scripts/SO_Q55676043_SKU_By_Parts.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MarkMoretto/python-examples-main path: /stackoverflow-solutions/submission-scripts/SO_Q55676043_SKU_By_Parts.py
"""
Ref: https://stackoverflow.com/questions/55676043/building-a-feed-by-manipulating-data-from-another-feed-using-python-pandas#55676043
"""
import pandas as pd
pd.options.mode.ch... | code_fim | hard | {
"lang": "python",
"repo": "MarkMoretto/python-examples-main",
"path": "/stackoverflow-solutions/submission-scripts/SO_Q55676043_SKU_By_Parts.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>df3['desc'] = [catprod[k] for k in catprod.keys() for i in df3['tomatch']]
for i in df3['ITEM CODE']:
for k in catprod.keys():
if i.startswith(k):
df3['desc'] = catprod[k]
for i, row in df3.iterrows():
if '2755' in df3['ITEM CODE'][i] and '24' in df3['TG'][i]:
cod... | code_fim | hard | {
"lang": "python",
"repo": "MarkMoretto/python-examples-main",
"path": "/stackoverflow-solutions/submission-scripts/SO_Q55676043_SKU_By_Parts.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ddm1004/plaso path: /plaso/formatters/sam_users.py
# -*- coding: utf-8 -*-
"""The SAM users Windows Registry event formatter."""
from __future__ import unicode_literals
<|fim_suffix|> DATA_TYPE = 'windows:registry:sam_users'
FORMAT_STRING_PIECES = [
'[{key_path}]',
'Username: {u... | code_fim | hard | {
"lang": "python",
"repo": "ddm1004/plaso",
"path": "/plaso/formatters/sam_users.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> FORMAT_STRING_PIECES = [
'[{key_path}]',
'Username: {username}',
'Full name: {fullname}',
'Comments: {comments}',
'RID: {account_rid}',
'Login count: {login_count}']
FORMAT_STRING_SHORT_PIECES = [
'{username}',
'RID: {account_rid}',
'Login count: ... | code_fim | hard | {
"lang": "python",
"repo": "ddm1004/plaso",
"path": "/plaso/formatters/sam_users.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> DATA_TYPE = 'windows:registry:sam_users'
FORMAT_STRING_PIECES = [
'[{key_path}]',
'Username: {username}',
'Full name: {fullname}',
'Comments: {comments}',
'RID: {account_rid}',
'Login count: {login_count}']
FORMAT_STRING_SHORT_PIECES = [
'{username}',
... | code_fim | medium | {
"lang": "python",
"repo": "ddm1004/plaso",
"path": "/plaso/formatters/sam_users.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tonk/ara path: /tests/unit/test_app.py
from flask.ext.testing import TestCase
import pytest
import ara.webapp as w
import ara.models as m
from ara.models import db
class TestApp(TestCase):
'''Tests for the ARA web interface'''
SQLALCHEMY_DATABASE_URI = 'sqlite://'
TESTING = True
... | code_fim | hard | {
"lang": "python",
"repo": "tonk/ara",
"path": "/tests/unit/test_app.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_list_playbook(self):
self.ansible_run()
res = self.client.get('/playbook/')
self.assertEqual(res.status_code, 200)
def test_list_playbook_incomplete(self):
self.ansible_run(complete=False)
res = self.client.get('/playbook/')
self.assertEqua... | code_fim | hard | {
"lang": "python",
"repo": "tonk/ara",
"path": "/tests/unit/test_app.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> for x in self.attributes:
if x['key'] == name:
return x['value']
return default
class Endpoints(ListResource):
endpoint_path = 'endpoints'
item_resource = Endpoint<|fim_prefix|># repo: EugeneSqr/carrierx-python path: /carrierx/resources/core/endpoints... | code_fim | medium | {
"lang": "python",
"repo": "EugeneSqr/carrierx-python",
"path": "/carrierx/resources/core/endpoints.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> endpoint_path = 'endpoints'
create_fields = (
'addresses',
'attributes',
'capacity',
'name',
'partner_sid',
'transformations',
'type',
)
retrieve_fields = (
'endpoint_sid',
'addresses',
'attributes',
'p... | code_fim | medium | {
"lang": "python",
"repo": "EugeneSqr/carrierx-python",
"path": "/carrierx/resources/core/endpoints.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: EugeneSqr/carrierx-python path: /carrierx/resources/core/endpoints.py
from operator import itemgetter
from carrierx.resources.base import ItemResource, ListResource
class Endpoint(ItemResource):
<|fim_suffix|> endpoint_path = 'endpoints'
create_fields = (
'addresses',
'a... | code_fim | medium | {
"lang": "python",
"repo": "EugeneSqr/carrierx-python",
"path": "/carrierx/resources/core/endpoints.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> "Generate all sentences for folder of wiki text files."
for path in glob.glob(location):
with open(path) as f:
contents = '<contents>'+f.read()+'</contents>'
root = html.fromstring(contents)
for doc in root.findall('doc'):
for chunk in do... | code_fim | medium | {
"lang": "python",
"repo": "evanmiltenburg/Dutch-checker",
"path": "/plainwiki.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: evanmiltenburg/Dutch-checker path: /plainwiki.py
# Use Python 3, or face the Unicode horror!
# Standard library:
import glob
import gzip
# Additional modules:
import nltk.data
from nltk.tokenize import word_tokenize
from lxml import etree,html
sent_tokenizer = nltk.data.load('tokenizers/punkt/... | code_fim | medium | {
"lang": "python",
"repo": "evanmiltenburg/Dutch-checker",
"path": "/plainwiki.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> string_field = StringField()
texts = ['str1', 'str2', 'str3', '1', '0']
for text in texts:
self.assertEqual(string_field.to_python(text), text)
def test_list_field(self):
list_field = ListField()
expected_vals = [1, 2, 3.2, 'test']
values = ... | code_fim | hard | {
"lang": "python",
"repo": "eHanlin/csv-map-converter",
"path": "/tests/test_fields.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: eHanlin/csv-map-converter path: /tests/test_fields.py
import unittest, sys, os
sys.path.insert(0, os.path.abspath('.'))
from csv_map_converter.models.fields.base import *
class TestField(unittest.TestCase):
def __get_long_type(self):
if sys.version_info.major > 2:
nu... | code_fim | hard | {
"lang": "python",
"repo": "eHanlin/csv-map-converter",
"path": "/tests/test_fields.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_string_list_field(self):
list_field = ListField(StringField())
input_vals = ['test1', 'test2', '']
expected_vals = input_vals
values = list_field.to_python(input_vals)
for index, value in enumerate(values):
self.assertEqual(value, e... | code_fim | hard | {
"lang": "python",
"repo": "eHanlin/csv-map-converter",
"path": "/tests/test_fields.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mugeshk97/mobile-price-classification path: /src/get_data.py
import pandas as pd
import yaml
import argparse
import logging
logging.basicConfig(filename='logs/log.txt', filemode= 'a',
format='%(asctime)s %(levelname)s - %(message)s',
datefmt='%Y-%m-%d %H:%... | code_fim | medium | {
"lang": "python",
"repo": "mugeshk97/mobile-price-classification",
"path": "/src/get_data.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument('--config', help = 'config file path', default= 'params.yaml')
args = parser.parse_args()
config = load_config(args.config)
load_data(config)<|fim_prefix|># repo: mugeshk97/mobile-price-classification ... | code_fim | hard | {
"lang": "python",
"repo": "mugeshk97/mobile-price-classification",
"path": "/src/get_data.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> param = yaml.safe_load(open(path))
return param
def load_data(config):
data_path = config['data_src']['main_data']
feature_config = config['features']
try:
data = pd.read_csv(data_path)
data = data[feature_config['selected']]
data.to_csv(feature_config['path'],... | code_fim | medium | {
"lang": "python",
"repo": "mugeshk97/mobile-price-classification",
"path": "/src/get_data.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bainco/bainco.github.io path: /course-files/homework/hw04/shapes.py
from random import randint
def make_rectangle(canvas, top_left, width, height, fill_color="#3D9970", tag=None):
x, y = top_left
return canvas.create_rectangle(
[(x, y), (x + width, y + height)],
fill=fill... | code_fim | medium | {
"lang": "python",
"repo": "bainco/bainco.github.io",
"path": "/course-files/homework/hw04/shapes.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> '''
demo function that show you how to draw a bubble, given the convenience
functions that are available in this module
'''
make_circle(
canvas,
center,
diameter / 2,
stroke_width=1,
outline='white',
color=None,
tag=tag
)<|fim... | code_fim | hard | {
"lang": "python",
"repo": "bainco/bainco.github.io",
"path": "/course-files/homework/hw04/shapes.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># link_library_message = '%sLinking Static Library %s$TARGET%s' % \
link_library_message = '%sLinking Static Library %s$TARGET%s: $LINKCOM' % \
(colors['blue'], colors['cyan'], colors['end'])
# link_shared_library_message = '%sLinking Shared Library %s$TARGET%s' % \
link_shared_library_message = '%sLi... | code_fim | hard | {
"lang": "python",
"repo": "media-io/plugins",
"path": "/SConstruct",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>env = Environment()
if 'TERM' in os.environ:
env['ENV']['TERM'] = os.environ['TERM']
env.Append(
CXXCOMSTR = compile_source_message,
CCCOMSTR = compile_source_message,
SHCCCOMSTR = compile_shared_source_message,
SHCXXCOMSTR = compile_shared_source_message,
ARCOMSTR = link_library_... | code_fim | hard | {
"lang": "python",
"repo": "media-io/plugins",
"path": "/SConstruct",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: media-io/plugins path: /SConstruct
import os
import sys
EnsureSConsVersion(2, 3, 0)
buildMode = ARGUMENTS.get('mode', 'release')
if not (buildMode in ['debug', 'release']):
raise Exception("Can't select build mode ['debug', 'release']")
external_include_paths=[]
external_lib_paths=[]
def ... | code_fim | hard | {
"lang": "python",
"repo": "media-io/plugins",
"path": "/SConstruct",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Robert-Hammond/CNN_Testing path: /src/custom_images/draw.py
import tkinter as tk
from tkinter import *
from PIL import Image, ImageTk
import os
import random
category = 'sides'
ink_color = (255, 255, 255)
example_img = None
total_symbols = 0
# data variables
grid = [0 for j in range(28*28)]
cur... | code_fim | hard | {
"lang": "python",
"repo": "Robert-Hammond/CNN_Testing",
"path": "/src/custom_images/draw.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> center_grid()
# grid values are between 0 and 1, so expand this to between 0 and 255
for i in range(len(grid)):
grid[i] = round(grid[i] * 255)
if sum(grid) < 255:
clear_canvas()
return
# create image
img = Image.new('L', (28, 28))
img.putdata(grid)
... | code_fim | hard | {
"lang": "python",
"repo": "Robert-Hammond/CNN_Testing",
"path": "/src/custom_images/draw.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
setup(
ext_modules=[
Extension(
"libdiscid._discid",
["libdiscid/_discid.pyx", "libdiscid/discid-wrapper.c"],
define_macros=define_macros,
include_dirs=include_dirs,
library_dirs=library_dirs,
libraries=libraries,
... | code_fim | hard | {
"lang": "python",
"repo": "sebastinas/python-libdiscid",
"path": "/setup.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sebastinas/python-libdiscid path: /setup.py
#!/usr/bin/python3
import os.path
import os
import sys
from setuptools import setup, Extension
try:
import pkgconfig
have_pkgconfig = True
def pkgconfig_exists(package):
<|fim_suffix|>except ImportError:
have_pkgconfig = False
if h... | code_fim | medium | {
"lang": "python",
"repo": "sebastinas/python-libdiscid",
"path": "/setup.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> list_display = (
'customer_email', 'full_name', 'number',
'sold_at', 'is_mail_send'
)
search_fields = (
'customer_email',
'customer_name',
'customer_surname',
'keycode',
'number',
)
ordering = ('-sold_at', '-number')
l... | code_fim | hard | {
"lang": "python",
"repo": "monobot/web",
"path": "/tickets/admin.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: monobot/web path: /tickets/admin.py
from django.contrib import admin
from django.http import HttpResponse
from import_export.admin import ImportExportActionModelAdmin
from events.tasks import send_ticket
from .models import Article, Ticket, TicketCategory
class ArticleInline(admin.StackedInli... | code_fim | hard | {
"lang": "python",
"repo": "monobot/web",
"path": "/tickets/admin.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Yidan-Zhang/IRSTD path: /Figures/plot_model_results.py
"""
Plot csv data.
"""
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
plt.rc('text', usetex=True)
plt.rcParams.update({'font.size': 14})
df = pd.read_csv("../testing-models.csv", delimiter=';')
df = df.sort_values(... | code_fim | hard | {
"lang": "python",
"repo": "Yidan-Zhang/IRSTD",
"path": "/Figures/plot_model_results.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># rects1 = ax.barh(x - WIDTH/2, niou__vals, WIDTH, label='nIoU', color=('#0F76AF'))
rects1 = ax.barh(x, speed_vals, WIDTH, label='FPS', color=('#0000FF'), alpha=0.6, edgecolor='black')
# rects2 = ax.barh(x + WIDTH/2, fb_vals, WIDTH, label='fb', color=('#D64349'))
ax.invert_yaxis()
# plt.xlabel(r"$F_\beta... | code_fim | hard | {
"lang": "python",
"repo": "Yidan-Zhang/IRSTD",
"path": "/Figures/plot_model_results.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Teldrin89/SDDeepLearning path: /cnn_cat_dog_validation.py
# file prepared for validation of the model for categorization
# of dogs and cats (checked with jupyter notebook - requires additional settings)
# the part of the validation will look the same as it has to prepare the test image
# in the s... | code_fim | medium | {
"lang": "python",
"repo": "Teldrin89/SDDeepLearning",
"path": "/cnn_cat_dog_validation.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # use the same size as in training script
IMG_SIZE = 50
# load the image as array with cv2 as gray scale
img_array = cv2.imread(filepath, cv2.IMREAD_GRAYSCALE)
# resize the array to the image size
new_array = cv2.resize(img_array, (IMG_SIZE, IMG_SIZE))
# return the proper array... | code_fim | medium | {
"lang": "python",
"repo": "Teldrin89/SDDeepLearning",
"path": "/cnn_cat_dog_validation.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: qqalexqq/monkeys path: /migrations/versions/10d66bb5392e_.py
"""empty message
Revision ID: 10d66bb5392e
Revises: None
Create Date: 2015-01-03 01:06:20.677463
"""
# revision identifiers, used by Alembic.
revision = '10d66bb5392e'
down_revision = None
from alembic import op
import sqlalchemy as... | code_fim | hard | {
"lang": "python",
"repo": "qqalexqq/monkeys",
"path": "/migrations/versions/10d66bb5392e_.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def upgrade():
### commands auto generated by Alembic - please adjust! ###
op.create_table('monkeys',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('name', sa.String(), nullable=False),
sa.Column('age', sa.Integer(), nullable=False),
sa.Column('email', sa.String(), nulla... | code_fim | medium | {
"lang": "python",
"repo": "qqalexqq/monkeys",
"path": "/migrations/versions/10d66bb5392e_.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def downgrade():
### commands auto generated by Alembic - please adjust! ###
op.drop_table('friends')
op.drop_index(op.f('ix_monkeys_name'), table_name='monkeys')
op.drop_table('monkeys')
### end Alembic commands ###<|fim_prefix|># repo: qqalexqq/monkeys path: /migrations/versions/10... | code_fim | hard | {
"lang": "python",
"repo": "qqalexqq/monkeys",
"path": "/migrations/versions/10d66bb5392e_.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: missionpinball/mpf-mc path: /mpfmc/integration/test_Sound.py
from mpfmc.tests.MpfIntegrationTestCase import MpfIntegrationTestCase
class TestSound(MpfIntegrationTestCase):
def get_machine_path(self):
<|fim_suffix|> def test_sound_player_with_conditionals(self):
self.machine.vari... | code_fim | medium | {
"lang": "python",
"repo": "missionpinball/mpf-mc",
"path": "/mpfmc/integration/test_Sound.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_sound_player_with_conditionals(self):
self.machine.variables.set_machine_var("factory_reset_current_selection", 1)
self.mock_mc_event("sounds_play")
self.advance_time_and_run(1)
self.assertMcEventNotCalled("sounds_play")
self.machine.variables.set_machi... | code_fim | medium | {
"lang": "python",
"repo": "missionpinball/mpf-mc",
"path": "/mpfmc/integration/test_Sound.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: gelman/ep-stan path: /epstan/test_olse.py
"""Sckript for testing olse method for estimating the precision matrix,
see util.olse.
The most recent version of the code can be found on GitHub:
https://github.com/gelman/ep-stan
"""
# Licensed under the 3-clause BSD license.
# http://opensource.org/... | code_fim | hard | {
"lang": "python",
"repo": "gelman/ep-stan",
"path": "/epstan/test_olse.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> if rand_distr_every_iter:
# Generate random distr
if oracle:
S1 = random_cov(d)
m1 = np.random.randn(d) + 0.8*np.random.randn()
else:
if indep_distr:
S1 = random_cov(d)
m1 = np.random.randn(d) + 0.8*np.random.r... | code_fim | hard | {
"lang": "python",
"repo": "gelman/ep-stan",
"path": "/epstan/test_olse.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> @classmethod
def convert_created_time(cls, value, **_):
return int(value.timestamp() * 1000)
@classmethod
def convert_last_edited_time(cls, **kwargs):
return cls.convert_created_time(**kwargs)
@classmethod
def convert_created_by(cls, value, **_):
return ex... | code_fim | hard | {
"lang": "python",
"repo": "arturtamborski/notion-py",
"path": "/notion/converter.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: arturtamborski/notion-py path: /notion/converter.py
from datetime import datetime, date
from random import choice
from typing import Any, Callable
from uuid import uuid1
from notion.block.collection.common import NotionDate
from notion.markdown import markdown_to_notion, notion_to_markdown
from ... | code_fim | hard | {
"lang": "python",
"repo": "arturtamborski/notion-py",
"path": "/notion/converter.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return value[0][0] if value else None
@classmethod
def convert_multi_select(cls, value, **_):
if not value:
return []
return [v.strip() for v in value[0][0].split(",")]
@classmethod
def convert_email(cls, **kwargs):
return cls.convert_select(*... | code_fim | hard | {
"lang": "python",
"repo": "arturtamborski/notion-py",
"path": "/notion/converter.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>@cookie
def scihubber(url, **kwargs):
"""
Takes user url and traverses sci-hub proxy system until pdf is found.
When successful, returns either sci-hub pdfcache or libgen pdf url
"""
a = urlparse(url)
geturl = "http://%s.sci-hub.org/%s?%s" % (a.hostname, a.path, a.query)
def _... | code_fim | hard | {
"lang": "python",
"repo": "leorassi/paperbot",
"path": "/modules/scihub.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: leorassi/paperbot path: /modules/scihub.py
"""
Integration with http://sci-hub.org/
"""
import requests
from urlparse import urlparse
import itertools
from lxml import etree
from StringIO import StringIO
import urllib
import os
LIBGEN_URL = "http://libgen.org/scimag/get.php?doi="
scihub_cooki... | code_fim | hard | {
"lang": "python",
"repo": "leorassi/paperbot",
"path": "/modules/scihub.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>
@cookie
def scihub_dl(url, **kwargs):
re = requests.get(url, **kwargs)
return re.content
@cookie
def scihubber(url, **kwargs):
"""
Takes user url and traverses sci-hub proxy system until pdf is found.
When successful, returns either sci-hub pdfcache or libgen pdf url
"""
a =... | code_fim | hard | {
"lang": "python",
"repo": "leorassi/paperbot",
"path": "/modules/scihub.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Kodeama/-Anki-Shinmeikai-Addon path: /Anki 2.1/shinmeikai_definitions/__init__.py
#!/usr/bin/python
# coding: utf8
#
#Shinmeikai Definitions Addon
#
#Lets the user get the shinmeikai definition for one or multiple<|fim_suffix|>ecab from the japanese support pugin, so the japanese
#support plugin ... | code_fim | medium | {
"lang": "python",
"repo": "Kodeama/-Anki-Shinmeikai-Addon",
"path": "/Anki 2.1/shinmeikai_definitions/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>ecab from the japanese support pugin, so the japanese
#support plugin is necessary for this feature.
#
#To edit the config go to:
#C:\Users\USER\AppData\Roaming\Anki2\addons\shinmeikai_definitions\config.py
#
#Github:
#Youtube:
import shinmeikai_definitions.main<|fim_prefix|># repo: Kodeama/-Anki-Shinme... | code_fim | medium | {
"lang": "python",
"repo": "Kodeama/-Anki-Shinmeikai-Addon",
"path": "/Anki 2.1/shinmeikai_definitions/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>from gql.gql.enum_utils import enum_field
from ..enum.property_kind import PropertyKind
@dataclass
class PropertyTypeInput(DataClassJsonMixin):
name: str
type: PropertyKind = enum_field(PropertyKind)
id: Optional[str] = None
externalId: Optional[str] = None
nodeType: Optional[str] = N... | code_fim | medium | {
"lang": "python",
"repo": "kyaaqba/magma",
"path": "/symphony/cli/pyinventory/graphql/input/property_type.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kyaaqba/magma path: /symphony/cli/pyinventory/graphql/input/property_type.py
#!/usr/bin/env python3
# @generated AUTOGENERATED file. Do not Change!
from dataclasses import dataclass
from datetime import datetime
from functools import partial
from gql.gql.datetime_utils import DATETIME_FIELD
from... | code_fim | medium | {
"lang": "python",
"repo": "kyaaqba/magma",
"path": "/symphony/cli/pyinventory/graphql/input/property_type.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: thispl/boss path: /boss/boss/report/pf_report/pf_report.py
# Copyright (c) 2013, TeamPRO and contributors
# For license information, please see license.txt
from __future__ import unicode_literals
import frappe
from datetime import datetime
from calendar import monthrange
from frappe import _, m... | code_fim | hard | {
"lang": "python",
"repo": "thispl/boss",
"path": "/boss/boss/report/pf_report/pf_report.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def get_conditions(filters):
conditions = ""
if filters.get("from_date"):
conditions += " start_date >= %(from_date)s"
if filters.get("to_date"):
conditions += " and end_date >= %(to_date)s"
if filters.get("client"): conditions += " and client_name = %(client)s"
if fil... | code_fim | hard | {
"lang": "python",
"repo": "thispl/boss",
"path": "/boss/boss/report/pf_report/pf_report.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: fedora-python/pyp2rpm path: /tests/test_data/isholiday-0.1/isholiday.py
import datetime
def getholidays(year):
"""Return a set public holidays in CZ as (day, month) tuples."""
holidays = {
(1, 1), # Novy rok
(1, 5), # Svatek prace
(8, 5), # Den vitezstvi
... | code_fim | medium | {
"lang": "python",
"repo": "fedora-python/pyp2rpm",
"path": "/tests/test_data/isholiday-0.1/isholiday.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return (date.day, date.month) in getholidays(date.year)
if __name__ == "__main__":
for y in range(2016, 2025):
print("{}: {}".format(y, getholidays(y)))
testdates = [(2016, 3, 28), (2017, 3, 28), (2017, 4, 14)]
for date in testdates:
d = datetime.date(*date)
print... | code_fim | hard | {
"lang": "python",
"repo": "fedora-python/pyp2rpm",
"path": "/tests/test_data/isholiday-0.1/isholiday.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>urlpatterns = [
url(r'api-base/', include('apps.l_core.api.base.router')),
url(r'api-doc/', db_structure_view),
]<|fim_prefix|># repo: bkopanichuk/sevsed2 path: /apps/l_core/urls.py
"""test_proj URL Configuration
The `urlpatterns` list routes URLs to viewsets. For more information please see:
... | code_fim | medium | {
"lang": "python",
"repo": "bkopanichuk/sevsed2",
"path": "/apps/l_core/urls.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bkopanichuk/sevsed2 path: /apps/l_core/urls.py
"""test_proj URL Configuration
The `urlpatterns` list routes URLs to viewsets. For more information please see:
https://docs.djangoproject.com/en/1.11/topics/http/urls/
Examples:
Function viewsets
1. Add an import: from my_app import viewse... | code_fim | medium | {
"lang": "python",
"repo": "bkopanichuk/sevsed2",
"path": "/apps/l_core/urls.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: gitter-badger/vcell path: /pythonScripts/VCell_VisIt/VCellProxyClientExample.py
import sys
import vtk
sys.path.append('./')
import vcellProxy
vcellProxy2 = vcellProxy.VCellProxyHandler()
try:
vcellProxy2.open()
<|fim_suffix|> simList = vcellProxy2.getClient().getSimsFromOpenModels()
... | code_fim | hard | {
"lang": "python",
"repo": "gitter-badger/vcell",
"path": "/pythonScripts/VCell_VisIt/VCellProxyClientExample.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> simList = vcellProxy2.getClient().getSimsFromOpenModels()
print('\n')
print(simList)
sim = simList[0]
variables = vcellProxy2.getClient().getVariableList(sim)
timePoints = vcellProxy2.getClient().getTimePoints(sim)
print(variables)
print(timePoints)
var = variables[0]
... | code_fim | hard | {
"lang": "python",
"repo": "gitter-badger/vcell",
"path": "/pythonScripts/VCell_VisIt/VCellProxyClientExample.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Varriount/orgextended path: /orgplist.py
import sublime
import sublime_plugin
import os
import base64
import urllib.request
import OrgExtended.asettings as sets
import OrgExtended.orgutil.util as util
import uuid
import re
import logging
from OrgExtended.orgutil.addmethod import *
log = loggin... | code_fim | hard | {
"lang": "python",
"repo": "Varriount/orgextended",
"path": "/orgplist.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def GetInt(self,name,defaultValue):
v = self.Get(name,defaultValue)
try:
return int(v)
except:
return defaultValue
def GetBool(self,name):
v = self.Get(name,"no")
if(isinstance(v,list) and len(v) == 1):
v = v[0]
i... | code_fim | hard | {
"lang": "python",
"repo": "Varriount/orgextended",
"path": "/orgplist.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jaysongiroux/pal path: /pal/filter/trace.py
from pal.filter.abstract_filter import AbstractFilter
<|fim_suffix|> if(reg.name.lower().startswith("trfcr")):
return False
elif(reg.name.lower().startswith("htrfcr")):
return False
else:
retur... | code_fim | medium | {
"lang": "python",
"repo": "jaysongiroux/pal",
"path": "/pal/filter/trace.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return "trace registers"
def do_filter(self, reg):
if(reg.name.lower().startswith("trfcr")):
return False
elif(reg.name.lower().startswith("htrfcr")):
return False
else:
return True<|fim_prefix|># repo: jaysongiroux/pal path: /pal/f... | code_fim | easy | {
"lang": "python",
"repo": "jaysongiroux/pal",
"path": "/pal/filter/trace.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: eroicaleo/LearningPython path: /interview/leet/260_Single_Number_III.py
#!/usr/bin/env python
# The thinking process, like the single number I
# If we xor all the numbers together, we get a number that is a ^ b
# a, b appears only once.
<|fim_suffix|>class Solution:
def singleNumber(self, n... | code_fim | easy | {
"lang": "python",
"repo": "eroicaleo/LearningPython",
"path": "/interview/leet/260_Single_Number_III.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> a = functools.reduce(operator.xor, nums)
b = functools.reduce(operator.xor, filter(lambda n: n & (a & -a), nums))
return [a^b, b]
sol = Solution()
nums = [1,2,1,3,2,5]
print(sol.singleNumber(nums))<|fim_prefix|># repo: eroicaleo/LearningPython path: /interview/leet/260_Single_Num... | code_fim | easy | {
"lang": "python",
"repo": "eroicaleo/LearningPython",
"path": "/interview/leet/260_Single_Number_III.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> else:
right = mid - 1
return ans
def q(self, t: int) -> int:
time = self.binarySearch(t)
return self.leaders[time]
# Your TopVotedCandidate object will be instantiated and called as such:
# obj = TopVotedCandidate(persons, times)
# param_1 = obj... | code_fim | hard | {
"lang": "python",
"repo": "rpm1995/LeetCode",
"path": "/911_Online_Election.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: rpm1995/LeetCode path: /911_Online_Election.py
class TopVotedCandidate:
def __init__(self, persons: List[int], times: List[int]):
self.persons = persons
self.times = times
self.leaders = []
leader = -1
counts = {-1: -1}
<|fim_suffix|> if c... | code_fim | hard | {
"lang": "python",
"repo": "rpm1995/LeetCode",
"path": "/911_Online_Election.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self._version = bento_service.version
service_name = bento_service.name
namespace = bentoml_config("instrument").get("default_namespace")
self._metric = Summary(
name=service_name + "_oracle_metric",
documentation=" Oracle Metric",
name... | code_fim | hard | {
"lang": "python",
"repo": "marlesson/meta-bandit-selector",
"path": "/lib/monitoring.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> self._selected_arm = Counter(name=service_name + "_arm_total",
documentation='Total number selected arm',
namespace=namespace,
labelnames=["endpoint", "service_version", "... | code_fim | hard | {
"lang": "python",
"repo": "marlesson/meta-bandit-selector",
"path": "/lib/monitoring.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: marlesson/meta-bandit-selector path: /lib/monitoring.py
from bentoml import BentoService, config as bentoml_config
from prometheus_client import Histogram, Counter, Gauge, Summary
from prometheus_client.context_managers import ExceptionCounter
from config import Config
_DEFAULT_ENDPOINT = "predic... | code_fim | hard | {
"lang": "python",
"repo": "marlesson/meta-bandit-selector",
"path": "/lib/monitoring.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_get_outer_vertices(self):
p1 = [Point(1, 1), Point(2, 1), Point(2, 2), Point(1, 1)]
p2 = [Point(0, 0), Point(3, 0), Point(3, 3), Point(0, 0)]
p3 = [Point(4, 0), Point(5, 0), Point(5, 1), Point(4, 0)]
mp = [[p1, p2], [p3]]
f = QgsFeature(QgsFields())
... | code_fim | hard | {
"lang": "python",
"repo": "OSM-es/CatAtom2Osm",
"path": "/test/geo/test_geometry.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: OSM-es/CatAtom2Osm path: /test/geo/test_geometry.py
import unittest
from qgis.core import QgsFeature, QgsFields
from catatom2osm.geo import Geometry, Point
class TestGeometry(unittest.TestCase):
def test_get_multipolygon(self):
p = [[Point(0, 0), Point(1, 0), Point(1, 1), Point(0,... | code_fim | hard | {
"lang": "python",
"repo": "OSM-es/CatAtom2Osm",
"path": "/test/geo/test_geometry.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> p1 = [Point(1, 1), Point(2, 1), Point(2, 2), Point(1, 1)]
p2 = [Point(0, 0), Point(3, 0), Point(3, 3), Point(0, 0)]
p3 = [Point(4, 0), Point(5, 0), Point(5, 1), Point(4, 0)]
mp = [[p1, p2], [p3]]
f = QgsFeature(QgsFields())
f.setGeometry(Geometry.fromMultiPo... | code_fim | hard | {
"lang": "python",
"repo": "OSM-es/CatAtom2Osm",
"path": "/test/geo/test_geometry.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
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