text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_suffix|> try:
table = re.search("<table.*?eventTable.*?</table>", r.text, re.DOTALL).group()
except AttributeError:
print "unable to parse url %s" % url
continue
sitesrow = re.search("<tr.*?eventTableHeader.*?</tr>", table, re.DOTALL).group()
sites = re.findall('<a.*?title=... | code_fim | hard | {
"lang": "python",
"repo": "llimllib/champsleagueviz",
"path": "/europa/dl.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: max601/NetLearner path: /autoencoder.py
from __future__ import print_function
import numpy as np
from netlearner.utils import min_max_scale, standard_scale, maybe_npsave
from netlearner.autoencoder import Autoencoder
import tensorflow as tf
<|fim_suffix|>ae_train_dataset = autoencoder.encode_da... | code_fim | hard | {
"lang": "python",
"repo": "max601/NetLearner",
"path": "/autoencoder.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>ae_train_dataset = autoencoder.encode_dataset(train_dataset)
ae_valid_dataset = autoencoder.encode_dataset(valid_dataset)
ae_test_dataset = autoencoder.encode_dataset(test_dataset)
tr_fn = maybe_npsave('trainset.ae', ae_train_dataset,
0, ae_train_dataset.shape[0], True)
va_fn = maybe_... | code_fim | hard | {
"lang": "python",
"repo": "max601/NetLearner",
"path": "/autoencoder.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>is provided in each text header."""
,
'github': 'https://github.com/acdh-oeaw/delt',
'purpose_de': 'Ziel von DELT ist die Publikation von Forschungsdaten.',
'purpose_en': 'The purpose of DELT is the publication of research data.',
'version': '0.0.1',
'matomo_id': '84',
'matomo_url'... | code_fim | hard | {
"lang": "python",
"repo": "acdh-oeaw/delt",
"path": "/webpage/metadata.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>, modality etc. The resulting text corpora can then be analysed with tools such as AntWord ® (http://www.laurenceanthony.net/software/antwordprofiler/), WordSmith ® (https://www.lexically.net/wordsmith/) or others.
The majority of participants have German as their dominant language and produced these tex... | code_fim | hard | {
"lang": "python",
"repo": "acdh-oeaw/delt",
"path": "/webpage/metadata.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: acdh-oeaw/delt path: /webpage/metadata.py
# this files contains basic metadata about the project. This data will be used
# (by default) in the base.html and index.html
PROJECT_METADATA = {
'title': 'DELT',
'author': 'Peter Andorfer',
'subtitle': 'Database of English Learner Texts (DE... | code_fim | hard | {
"lang": "python",
"repo": "acdh-oeaw/delt",
"path": "/webpage/metadata.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: atizo/braindump path: /brainstorming/notifications.py
from brainstorming.email_verification import send_email_verification
from brainstorming.models import BrainstormingWatcher
from django.conf import settings
from django.core.mail import send_mail, send_mass_mail
from django.core.urlresolvers im... | code_fim | hard | {
"lang": "python",
"repo": "atizo/braindump",
"path": "/brainstorming/notifications.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> send_email_verification(to=email,
subject=subject,
callback=url,
template='brainstorming/mails/toggle_notification.txt',
context={'action': action, 'brain': brainstorming})
return {'sta... | code_fim | hard | {
"lang": "python",
"repo": "atizo/braindump",
"path": "/brainstorming/notifications.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> unit = self.load()
self.assertEqual(
'If you can solve this, try FLARE-ON 8',
str(B'Ru blf xzm hloev gsrh, gib UOZIV-LM 8' | unit)
)<|fim_prefix|># repo: binref/refinery path: /test/units/encoding/test_atbash.py
#!/usr/bin/env python3
# -*- coding: utf-8 -*... | code_fim | easy | {
"lang": "python",
"repo": "binref/refinery",
"path": "/test/units/encoding/test_atbash.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: binref/refinery path: /test/units/encoding/test_atbash.py
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
from .. import TestUnitBase
class TestAtBash(TestUnitBase):
<|fim_suffix|> unit = self.load()
self.assertEqual(
'If you can solve this, try FLARE-ON 8',
... | code_fim | easy | {
"lang": "python",
"repo": "binref/refinery",
"path": "/test/units/encoding/test_atbash.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: artek0chumak/catalyst path: /catalyst/dl/__init__.py
# flake8: noqa
<|fim_suffix|>from catalyst.dl.callbacks import *
from catalyst.dl.experiment import *
from catalyst.dl.runner import *<|fim_middle|>from catalyst.core import *
| code_fim | easy | {
"lang": "python",
"repo": "artek0chumak/catalyst",
"path": "/catalyst/dl/__init__.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>from catalyst.dl.callbacks import *
from catalyst.dl.experiment import *
from catalyst.dl.runner import *<|fim_prefix|># repo: artek0chumak/catalyst path: /catalyst/dl/__init__.py
# flake8: noqa
<|fim_middle|>from catalyst.core import *
| code_fim | easy | {
"lang": "python",
"repo": "artek0chumak/catalyst",
"path": "/catalyst/dl/__init__.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>Example 3:
Input: coins = [1], amount = 0
Output: 0
Example 4:
Input: coins = [1], amount = 1
Output: 1
Example 5:
Input: coins = [1], amount = 2
Output: 2
Constraints:
1 <= coins.length <= 12
1 <= coins[i] <= 231 - 1
0 <= amount <= 104
"""
import collections
class Solution:
def coinChan... | code_fim | medium | {
"lang": "python",
"repo": "franklingu/leetcode-solutions",
"path": "/questions/coin-change/Solution.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: franklingu/leetcode-solutions path: /questions/coin-change/Solution.py
"""
You are given coins of different denominations and a total amount of money amount. Write a function to compute the fewest number of coins that you need to make up that amount. If that amount of money cannot be made up by ... | code_fim | medium | {
"lang": "python",
"repo": "franklingu/leetcode-solutions",
"path": "/questions/coin-change/Solution.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>class Solution:
def coinChange(self, coins: List[int], amount: int) -> int:
### method 1: BFS, model it as a graph problem
# queue = collections.deque()
# queue.append((0, 0))
# visited = set()
# while queue:
# curr, step = queue.popleft()
# ... | code_fim | medium | {
"lang": "python",
"repo": "franklingu/leetcode-solutions",
"path": "/questions/coin-change/Solution.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hsiboy/seabus path: /seabus/.venv-seabus/lib/python2.7/site-packages/oboeware/djangoware.py
"""Tracelytics instrumentation for Django
Copyright (C) 2011 by Tracelytics, Inc.
All rights reserved.
"""
# django middleware for passing values to oboe
__all__ = ("OboeDjangoMiddleware", "install_obo... | code_fim | hard | {
"lang": "python",
"repo": "hsiboy/seabus",
"path": "/seabus/.venv-seabus/lib/python2.7/site-packages/oboeware/djangoware.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> l = tem_mod.Library()
l.simple_tag(oboe_rum_header)
l.simple_tag(oboe_rum_footer)
tem_mod.libraries['oboe'] = l
def on_load_middleware():
""" wrap Django middleware from a list """
# protect middleware wrapping: only a single thread proceeds
global load_middleware_lock ... | code_fim | hard | {
"lang": "python",
"repo": "hsiboy/seabus",
"path": "/seabus/.venv-seabus/lib/python2.7/site-packages/oboeware/djangoware.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if os.getenv('USER') == 'root':
# Root use colour overrides host colour
BG = Color.USERNAME_ROOT_BG
powerline.append(str(user_prompt).rstrip() + '@' + str(host_prompt).lstrip(), FG, BG)
add_user_at_host_segment()<|fim_prefix|># repo: dflock/powerline-shell path: /segments/user_a... | code_fim | hard | {
"lang": "python",
"repo": "dflock/powerline-shell",
"path": "/segments/user_at_host.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> hostname = socket.gethostname()
if powerline.args.shell == 'bash':
host_prompt = ' \\h '
user_prompt = ' \\u '
elif powerline.args.shell == 'zsh':
host_prompt = ' %m '
user_prompt = ' %n '
else:
host_prompt = ' %s ' % hostname.split('.')[0]
... | code_fim | medium | {
"lang": "python",
"repo": "dflock/powerline-shell",
"path": "/segments/user_at_host.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dflock/powerline-shell path: /segments/user_at_host.py
def get_colors_for_hostname(hostname):
from binascii import crc32
cmin = 17 # min ANSI color to use
cmax = 231 # max ANSI color to use
<|fim_suffix|>
def add_user_at_host_segment():
import os
import socket
hos... | code_fim | hard | {
"lang": "python",
"repo": "dflock/powerline-shell",
"path": "/segments/user_at_host.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> with open(path + '.data', 'rb') as f:
while True:
try:
yield mmdict.deserialise(f)
except EOFError: break
def iteritems(self):
sorted_idx = sorted(self.index.iteritems(), key=operator.itemgetter(1))
... | code_fim | hard | {
"lang": "python",
"repo": "Darnok99/nel",
"path": "/nel/model/model.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Darnok99/nel path: /nel/model/model.py
ounter, defaultdict
from functools32 import lru_cache
from .data import Store
import itertools
import marshal
import operator
import cPickle as pickle
import numpy as np
import math
import os
import logging
import mmap
log = logging.getLogger()
ENC = 'utf... | code_fim | hard | {
"lang": "python",
"repo": "Darnok99/nel",
"path": "/nel/model/model.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Darnok99/nel path: /nel/model/model.py
sr/bin/env python
from __future__ import print_function
from collections import Counter, defaultdict
from functools32 import lru_cache
from .data import Store
import itertools
import marshal
import operator
import cPickle as pickle
import numpy as np
import... | code_fim | hard | {
"lang": "python",
"repo": "Darnok99/nel",
"path": "/nel/model/model.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: brianchiang-tw/leetcode path: /No_0012_Integer to Roman/integer_to_roman.py
'''
Description:
Roman numerals are represented by seven different symbols: I, V, X, L, C, D and M.
Symbol Value
I 1
V 5
X 10
L 50
C 100
D 5... | code_fim | hard | {
"lang": "python",
"repo": "brianchiang-tw/leetcode",
"path": "/No_0012_Integer to Roman/integer_to_roman.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> str_roman += roman_5
elif 8 >= ones >= 6:
offset = ones-5
str_roman += ( roman_5 + roman_1*offset )
elif 9 == ones:
str_roman += roman_9
... | code_fim | hard | {
"lang": "python",
"repo": "brianchiang-tw/leetcode",
"path": "/No_0012_Integer to Roman/integer_to_roman.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mvantellingen/python-zeep path: /src/zeep/exceptions.py
class Error(Exception):
def __init__(self, message=""):
super(Exception, self).__init__(message)
self.message = message
def __repr__(self):
return "%s(%r)" % (self.__class__.__name__, self.message)
class XM... | code_fim | hard | {
"lang": "python",
"repo": "mvantellingen/python-zeep",
"path": "/src/zeep/exceptions.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>class ValidationError(Error):
def __init__(self, *args, **kwargs):
self.path = kwargs.pop("path", [])
super().__init__(*args, **kwargs)
def __str__(self):
if self.path:
path = ".".join(str(x) for x in self.path)
return "%s (%s)" % (self.message, pat... | code_fim | hard | {
"lang": "python",
"repo": "mvantellingen/python-zeep",
"path": "/src/zeep/exceptions.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> thi = os.path.abspath(os.path.dirname(__file__))
test = os.path.normpath(os.path.join(thi, "..", ))
check_pep8(test, fLOG=fLOG, neg_pattern="temp_.*",
pylint_ignore=('C0103', 'C1801', 'R1705', 'W0108', 'W0613',
'C0111', 'W0703', ... | code_fim | hard | {
"lang": "python",
"repo": "sdpython/manydataapi",
"path": "/_unittests/ut_module/test_code_style.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sdpython/manydataapi path: /_unittests/ut_module/test_code_style.py
"""
@brief test log(time=0s)
"""
import os
import unittest
from pyquickhelper.loghelper import fLOG
from pyquickhelper.pycode import check_pep8, ExtTestCase
class TestCodeStyle(ExtTestCase):
"""Test style."""
<|fim_su... | code_fim | hard | {
"lang": "python",
"repo": "sdpython/manydataapi",
"path": "/_unittests/ut_module/test_code_style.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_style_test(self):
thi = os.path.abspath(os.path.dirname(__file__))
test = os.path.normpath(os.path.join(thi, "..", ))
check_pep8(test, fLOG=fLOG, neg_pattern="temp_.*",
pylint_ignore=('C0103', 'C1801', 'R1705', 'W0108', 'W0613',
... | code_fim | hard | {
"lang": "python",
"repo": "sdpython/manydataapi",
"path": "/_unittests/ut_module/test_code_style.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Load model from a saved checkpoint."""
resume_path = str(resume_path)
self.logger.info("Loading checkpoint: {} ...".format(resume_path))
checkpoint = torch.load(resume_path)
self.start_epoch = checkpoint['epoch'] + 1
# load architecture params from check... | code_fim | hard | {
"lang": "python",
"repo": "boschresearch/robertnlp-enhanced-ud-parser",
"path": "/src/trainer/trainer.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return epoch_metrics
def compute_prf(self, counts_dict):
"""Compute precision, recall and F-score based on counts (gold, predicted, correct)."""
precision = counts_dict["correct"] / counts_dict["predicted"] if counts_dict["predicted"] else 0.0
recall = counts_dict["cor... | code_fim | hard | {
"lang": "python",
"repo": "boschresearch/robertnlp-enhanced-ud-parser",
"path": "/src/trainer/trainer.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: boschresearch/robertnlp-enhanced-ud-parser path: /src/trainer/trainer.py
# This source code is from the PyTorch Template Project (w/ heavy adaptations)
# (https://github.com/victoresque/pytorch-template/blob/master/trainer/trainer.py)
# Copyright (c) 2018 Victor Huang
# This source code is lice... | code_fim | hard | {
"lang": "python",
"repo": "boschresearch/robertnlp-enhanced-ud-parser",
"path": "/src/trainer/trainer.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> uniform_random = random_ops.random_uniform([], 0, 1.0, seed=seed)
mirror = math_ops.less(tf.pack(
[1.0, uniform_random, 1.0, 1.0]), 0.5)
return tf.reverse(image, mirror)
def random_hue(image, max_delta, seed=None):
if max_delta > 0.5:
raise ValueError('max_delta must be <... | code_fim | hard | {
"lang": "python",
"repo": "renmengye/tfplus",
"path": "/tfplus/nn/rnd_trans.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> with ops.op_scope([image], name, 'adjust_hue') as name:
# Remember original dtype to so we can convert back if needed
orig_dtype = image.dtype
flt_image = tf.image.convert_image_dtype(image, tf.float32)
hsv = gen_image_ops.rgb_to_hsv(flt_image)
hue = tf.slice(... | code_fim | hard | {
"lang": "python",
"repo": "renmengye/tfplus",
"path": "/tfplus/nn/rnd_trans.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: renmengye/tfplus path: /tfplus/nn/rnd_trans.py
from graph_builder import GraphBuilder
from tensorflow.python.framework import ops
from tensorflow.python.ops import clip_ops
from tensorflow.python.ops import gen_image_ops
from tensorflow.python.ops import math_ops
from tensorflow.python.ops impor... | code_fim | hard | {
"lang": "python",
"repo": "renmengye/tfplus",
"path": "/tfplus/nn/rnd_trans.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: clintkittiesmeow/localizerB path: /localizer/utils/model.py
from matplotlib import pyplot as plt
from scipy.optimize import curve_fit
<|fim_suffix|>ax = plt.gca()
ax.plot(range(1080), RESET_RATE)
ax.set_xlim([0,1080])
plt.show()
print(best_vals)<|fim_middle|>
def symmetric_sigmoid(x, a, b, c, d)... | code_fim | hard | {
"lang": "python",
"repo": "clintkittiesmeow/localizerB",
"path": "/localizer/utils/model.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # 0 20
# 90 7
# 180 5
# 360 4
x = [0,90,180,360]
y = [20,10,8,6]
best_vals, _ = curve_fit(symmetric_sigmoid, x, y)
get_reset_rate = lambda x: symmetric_sigmoid(x, *tuple(best_vals))
RE... | code_fim | medium | {
"lang": "python",
"repo": "clintkittiesmeow/localizerB",
"path": "/localizer/utils/model.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: JieDiscovery/ChatWhileWatching path: /c2w/protocol/tcp_chat_server.py
# -*- coding: utf-8 -*-
from twisted.internet.protocol import Protocol
import logging
import struct
import time
logging.basicConfig()
moduleLogger = logging.getLogger('c2w.protocol.tcp_chat_server_protocol')
class c2wTcpChat... | code_fim | hard | {
"lang": "python",
"repo": "JieDiscovery/ChatWhileWatching",
"path": "/c2w/protocol/tcp_chat_server.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
self.transport.write(ack)
print('test',ack)
print('this me')
print(typedata,'type of data')
if(typedata == 0):
print('this is a request of connection to server')
... | code_fim | hard | {
"lang": "python",
"repo": "JieDiscovery/ChatWhileWatching",
"path": "/c2w/protocol/tcp_chat_server.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> print('show ack in server',ack)
self.transport.write(ack)
if(len(self.datagram)==16):
ack=struct.pack('bhbbh',80,0,1,0,0)
print('show ack in server',ack)
self.transport.write(ack)
if(typedata != 80):
... | code_fim | hard | {
"lang": "python",
"repo": "JieDiscovery/ChatWhileWatching",
"path": "/c2w/protocol/tcp_chat_server.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
# names = ['zhufengjiao', 'zhouzixuan', 'zhouzhou']
#
# names.append('zhuzhu')
#
#<|fim_prefix|># repo: ZhouZiXuan-imb/pythonCourse path: /python_Day10-列表/01-引入列表.py
# 名字管理系统
name1 = "zhufengjiao"
name2 = "zhouzixuan"
name3 = "zhouzhou"
# 程序只要运行起来，程序员就不能人为的干预程序的运行，只能让程序本身来自己去修改。
# 使用列表可以解决
# 简单的理解：一个容... | code_fim | hard | {
"lang": "python",
"repo": "ZhouZiXuan-imb/pythonCourse",
"path": "/python_Day10-列表/01-引入列表.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ZhouZiXuan-imb/pythonCourse path: /python_Day10-列表/01-引入列表.py
# 名字管理系统
name1 = "zhufengjiao"
name2 = "zhouzixuan"
name3 = "zhouzhou"
# 程序只要运行起来，程序员就不能人为的干预程序的运行，只能让程序本身来自己去修改。
<|fim_suffix|># 语法：
# 变量名 = ["数据1","数据2".........]
# 使用 列表名[0]取列表中的第一位 以此类推
# 列表名[可以输入负数] 列表名[-1]可以取到倒数第一个数据
# nums = [... | code_fim | hard | {
"lang": "python",
"repo": "ZhouZiXuan-imb/pythonCourse",
"path": "/python_Day10-列表/01-引入列表.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># names = ['zhufengjiao', 'zhouzixuan', 'zhouzhou']
#
# names.append('zhuzhu')
#
#<|fim_prefix|># repo: ZhouZiXuan-imb/pythonCourse path: /python_Day10-列表/01-引入列表.py
# 名字管理系统
name1 = "zhufengjiao"
name2 = "zhouzixuan"
name3 = "zhouzhou"
# 程序只要运行起来，程序员就不能人为的干预程序的运行，只能让程序本身来自己去修改。
<|fim_middle|># 使用列表可以解... | code_fim | hard | {
"lang": "python",
"repo": "ZhouZiXuan-imb/pythonCourse",
"path": "/python_Day10-列表/01-引入列表.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return vals
def finish(self, result):
'''
Deletes arrays to clean up memory and avoid memory related mistakes
'''
# this data can be plotted by enabling persist_mode
n = len(self.sweep_par_names)
if self._live_plot_enabled():
self._p... | code_fim | hard | {
"lang": "python",
"repo": "QudevETH/PycQED_py3",
"path": "/pycqed/measurement/measurement_control.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
:param filtered_sweep: (None or list of bools) indicates which of the
acquisition elements will be played by the AWGs (True) and which
ones will be skipped (False). Default: None, in which case all
acquisition elements will be played.
"""
... | code_fim | hard | {
"lang": "python",
"repo": "QudevETH/PycQED_py3",
"path": "/pycqed/measurement/measurement_control.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: QudevETH/PycQED_py3 path: /pycqed/measurement/measurement_control.py
# the subset of acquisitions indicated by the filter is
# performed. In this case, the sweep points passed to
# the detector function need to be filtered, and the
# fil... | code_fim | hard | {
"lang": "python",
"repo": "QudevETH/PycQED_py3",
"path": "/pycqed/measurement/measurement_control.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>#open the store
store.open()
#check if H5 has alread the building file
keys = store.keys()
if '/buildings' in keys:
store.remove('buildings')
store.put('buildings',building,format = 'table', append = False)
else:
store.put('buildings',building,format = 'table', append = False)
#close the store
store... | code_fim | hard | {
"lang": "python",
"repo": "BayAreaMetro/petrale",
"path": "/utilities/h5 content.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: BayAreaMetro/petrale path: /utilities/h5 content.py
# coding: utf-8
# This code take the building.csv file (output of development project script) and put it in the H5 file holder
<|fim_suffix|>#open the store
store.open()
#check if H5 has alread the building file
keys = store.keys()
if '/bui... | code_fim | hard | {
"lang": "python",
"repo": "BayAreaMetro/petrale",
"path": "/utilities/h5 content.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pythonitalia/pycon path: /association-backend/src/internal_api/permissions.py
from pythonit_toolkit.api.permissions import IsService as BaseIsService
<|fim_suffix|> return BaseIsService(
allowed_callers, str(SERVICE_TO_SERVICE_SECRET), "association-backend"
)<|fim_middle|>from src... | code_fim | medium | {
"lang": "python",
"repo": "pythonitalia/pycon",
"path": "/association-backend/src/internal_api/permissions.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def IsService(allowed_callers: list[str]):
return BaseIsService(
allowed_callers, str(SERVICE_TO_SERVICE_SECRET), "association-backend"
)<|fim_prefix|># repo: pythonitalia/pycon path: /association-backend/src/internal_api/permissions.py
from pythonit_toolkit.api.permissions import IsServi... | code_fim | medium | {
"lang": "python",
"repo": "pythonitalia/pycon",
"path": "/association-backend/src/internal_api/permissions.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ryanstwrt/FRIDGe path: /fridge/Assembly/Assembly.py
import glob
import os
import fridge.utilities.utilities as utilities
cur_dir = os.path.dirname(__file__)
assembly_directory = os.path.join(cur_dir, "../data/assembly")
class Assembly(object):
"""
Holds all information required for mod... | code_fim | hard | {
"lang": "python",
"repo": "ryanstwrt/FRIDGe",
"path": "/fridge/Assembly/Assembly.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Updates cell, surface, material, and universe number to create uniqueness."""
self.cellNum += 1
self.surfaceNum += 1
self.materialNum += 1
if universe_test:
self.universe += 1
def update_perturbations(self):
"""Update the variables for an... | code_fim | hard | {
"lang": "python",
"repo": "ryanstwrt/FRIDGe",
"path": "/fridge/Assembly/Assembly.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Assign assembly parameters based on the yaml Assembly file."""
self.assemblyType = inputs['Assembly Type']
self.pinsPerAssembly = int(inputs['Pins Per Assembly']) if 'Pins Per Assembly' in inputs else 0
self.assemblyPitch = float(inputs['Assembly Pitch'])
self.du... | code_fim | hard | {
"lang": "python",
"repo": "ryanstwrt/FRIDGe",
"path": "/fridge/Assembly/Assembly.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> field=models.CharField(max_length=10),
),
migrations.AlterField(
model_name='stock',
name='change',
field=models.CharField(max_length=10),
),
migrations.AlterField(
model_name='stock',
name='price',
... | code_fim | hard | {
"lang": "python",
"repo": "Abeeaad97/FinancialTracker",
"path": "/backend/api/migrations/0023_auto_20200505_2300.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Abeeaad97/FinancialTracker path: /backend/api/migrations/0023_auto_20200505_2300.py
# Generated by Django 3.0.3 on 2020-05-06 06:00
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('api', '0022_auto_20200315_0019'),
]
opera... | code_fim | hard | {
"lang": "python",
"repo": "Abeeaad97/FinancialTracker",
"path": "/backend/api/migrations/0023_auto_20200505_2300.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: aleksha/ipynb path: /inglessi/Shift-KS-test.py
#===============================================================================
canvas.Close()
import numpy as np
import scipy.stats as stats
import statistics as py_stat
#=============================================================================... | code_fim | hard | {
"lang": "python",
"repo": "aleksha/ipynb",
"path": "/inglessi/Shift-KS-test.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>canv.Print("fig_shift.png")
#===============================================================================
# Perform Kolmogorov-Smirnov tests for shifted samples
# In agreement if p-value > 0.0455 (two-sigma-level)
#
for ch1 in range(16):
for ch2 in range(ch1+1,16):
ss = "Test ch" + s... | code_fim | hard | {
"lang": "python",
"repo": "aleksha/ipynb",
"path": "/inglessi/Shift-KS-test.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def play(self, board):
valid_moves = self.game.getValidMoves(board, 1)
print('\nMoves:', [i for (i, valid) in enumerate(valid_moves) if valid])
while True:
move = int(input())
if valid_moves[move]: break
else: print('Invalid move')
r... | code_fim | easy | {
"lang": "python",
"repo": "suetAndTie/alpha234",
"path": "/games/connect4/Connect4Players.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> valid_moves = self.game.getValidMoves(board, 1)
print('\nMoves:', [i for (i, valid) in enumerate(valid_moves) if valid])
while True:
move = int(input())
if valid_moves[move]: break
else: print('Invalid move')
return move<|fim_prefix|># r... | code_fim | medium | {
"lang": "python",
"repo": "suetAndTie/alpha234",
"path": "/games/connect4/Connect4Players.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: suetAndTie/alpha234 path: /games/connect4/Connect4Players.py
import numpy as np
class HumanConnect4Player():
def __init__(self, game):
<|fim_suffix|> while True:
move = int(input())
if valid_moves[move]: break
else: print('Invalid move')
re... | code_fim | medium | {
"lang": "python",
"repo": "suetAndTie/alpha234",
"path": "/games/connect4/Connect4Players.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
newline|'\n'
indent|' '
name|'from'
name|'pydev'
name|'import'
name|'pydevd'
newline|'\n'
dedent|''
name|'except'
name|'ImportError'
op|':'
newline|'\n'
indent|' '
name|'import'
name|'pydevd'
newline|'\n'
dedent|''
name|'pydevd'
op|'.'
name|'settrace'
op|'('
name|'host'
op|'='
name|'CONF'
o... | code_fim | hard | {
"lang": "python",
"repo": "bopopescu/nova-token",
"path": "/nova/debugger.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bopopescu/nova-token path: /nova/debugger.py
begin_unit
comment|'# Copyright 2010 United States Government as represented by the'
nl|'\n'
comment|'# Administrator of the National Aeronautics and Space Administration.'
nl|'\n'
comment|'# Copyright 2011 Justin Santa Barbara'
nl|'\n'
comment|'# All ... | code_fim | hard | {
"lang": "python",
"repo": "bopopescu/nova-token",
"path": "/nova/debugger.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>import os
import sys
sys.dont_write_bytecode = True # prevent creation of .pyc files
sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..'))
"""
Main script of BenchExec for executing a whole benchmark (suite).
This script can be called from the command line.
For integrating from within Python... | code_fim | hard | {
"lang": "python",
"repo": "javapathfinder/benchexec",
"path": "/bin/benchexec",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: javapathfinder/benchexec path: /bin/benchexec
#!/usr/bin/env python3
"""
BenchExec is a framework for reliable benchmarking.
This file is part of BenchExec.
Copyright (C) 2007-2015 Dirk Beyer
All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use t... | code_fim | medium | {
"lang": "python",
"repo": "javapathfinder/benchexec",
"path": "/bin/benchexec",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: z5476t4508/autochem path: /automol/tests/test_graph_reac.py
3: ('C', 1, None), 4: ('F', 0, None), 5: ('F', 0, None),
6: ('O', 1, None)},
{frozenset({0, 1}): (1, None), frozenset({0, 2}): (1, None),
frozenset({2, 4}): (1, None), frozenset({3, 5}): (1, ... | code_fim | hard | {
"lang": "python",
"repo": "z5476t4508/autochem",
"path": "/automol/tests/test_graph_reac.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: z5476t4508/autochem path: /automol/tests/test_graph_reac.py
d_cgr = ({0: ('C', 2, None), 1: ('C', 1, None), 2: ('C', 1, None),
3: ('C', 1, None), 4: ('C', 0, None), 5: ('O', 0, None)},
{frozenset({3, 4}): (1, None), frozenset({2, 3}): (1, None),
froz... | code_fim | hard | {
"lang": "python",
"repo": "z5476t4508/autochem",
"path": "/automol/tests/test_graph_reac.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> tras, rct_idxs, prd_idxs = graph.reac.elimination(rct_cgrs, prd_cgrs)
assert tras
assert rct_idxs
assert prd_idxs
for tra in tras:
print(tra)
assert graph.backbone_isomorphic(
graph.trans.apply(tra, rct_cgr), prd_cgr)
def test__reac__insertion():
""" ... | code_fim | hard | {
"lang": "python",
"repo": "z5476t4508/autochem",
"path": "/automol/tests/test_graph_reac.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: TedBrookings/euler_python path: /euler007.py
#!/usr/bin/python
import itertools
from primes import genPrimes
from number_words import getRankName
def euler7(n=10001):
<|fim_suffix|>
if __name__ == "__main__":
euler7()<|fim_middle|> p = next(itertools.islice(genPrimes(), n - 1, n))
print(... | code_fim | medium | {
"lang": "python",
"repo": "TedBrookings/euler_python",
"path": "/euler007.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>if __name__ == "__main__":
euler7()<|fim_prefix|># repo: TedBrookings/euler_python path: /euler007.py
#!/usr/bin/python
import itertools
from primes import genPrimes
from number_words import getRankName
<|fim_middle|>def euler7(n=10001):
p = next(itertools.islice(genPrimes(), n - 1, n))
print('... | code_fim | medium | {
"lang": "python",
"repo": "TedBrookings/euler_python",
"path": "/euler007.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: vadim-di/tinvest path: /tests/conftest.py
import pytest
from tinvest.schemas import Empty, Error
<|fim_suffix|> return '<TOKEN>'
@pytest.fixture()
def figi():
return 'BBG0013HGFT4'
@pytest.fixture()
def broker_account_id():
return 'some_broker_account_id'
@pytest.fixture()
def... | code_fim | easy | {
"lang": "python",
"repo": "vadim-di/tinvest",
"path": "/tests/conftest.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return Error(
trackingId='tracking_id',
payload={},
)
@pytest.fixture()
def empty():
return Empty(
trackingId='tracking_id',
payload={},
)<|fim_prefix|># repo: vadim-di/tinvest path: /tests/conftest.py
import pytest
from tinvest.schemas import Empty, Err... | code_fim | medium | {
"lang": "python",
"repo": "vadim-di/tinvest",
"path": "/tests/conftest.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
@pytest.fixture()
def empty():
return Empty(
trackingId='tracking_id',
payload={},
)<|fim_prefix|># repo: vadim-di/tinvest path: /tests/conftest.py
import pytest
from tinvest.schemas import Empty, Error
@pytest.fixture()
def token():
return '<TOKEN>'
<|fim_middle|>@pytes... | code_fim | hard | {
"lang": "python",
"repo": "vadim-di/tinvest",
"path": "/tests/conftest.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
self.List=InputList
for x in self.List:
self.xlApp.ActiveSheet.Cells(x[0]+StartRow,x[1]+StartColumn).Value =str(x[2])
def __del__(self):
self.xlApp.ActiveWorkbook.Close(SaveChanges=0)
self.xlApp.Quit()
del self.xlApp<|fim_prefix|># r... | code_fim | hard | {
"lang": "python",
"repo": "betty29/code-1",
"path": "/recipes/Python/440617_using_excel_to_debug_python/recipe-440617.py",
"mode": "spm",
"license": "Python-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: betty29/code-1 path: /recipes/Python/440617_using_excel_to_debug_python/recipe-440617.py
from win32com.client import Dispatch
class ExcelTable:
"""
display a data structure in Excel
"""
def __init__(self):
self.xlApp = Dispatch("Excel.Application")
self.xlApp.Visib... | code_fim | hard | {
"lang": "python",
"repo": "betty29/code-1",
"path": "/recipes/Python/440617_using_excel_to_debug_python/recipe-440617.py",
"mode": "psm",
"license": "Python-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
Display a Grid of data in excel
Input list = List of (row,col,value) to describe your data
StartRow,StartColumn - the place where to start to draw you table in excel.
"""
self.List=InputList
for x in self.List:
self.xlApp.ActiveSh... | code_fim | medium | {
"lang": "python",
"repo": "betty29/code-1",
"path": "/recipes/Python/440617_using_excel_to_debug_python/recipe-440617.py",
"mode": "spm",
"license": "Python-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> if utils.is_non_vmware_spec(request_spec):
return 0.0
host_shard_aggrs = [aggr for aggr in host_state.aggregates
if aggr.name.startswith(self._SHARD_PREFIX)]
if not host_shard_aggrs:
LOG.warning('%(host_state)s is not in an aggre... | code_fim | hard | {
"lang": "python",
"repo": "sapcc/nova",
"path": "/nova/scheduler/weights/resize_same_shard.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> if len(host_shard_aggrs) > 1:
LOG.warning('More than one host aggregates found for '
'host %(host)s, selecting first.',
{'host': host_state.host})
host_shard_aggr = host_shard_aggrs[0]
instance_host = request_spec.get_sch... | code_fim | hard | {
"lang": "python",
"repo": "sapcc/nova",
"path": "/nova/scheduler/weights/resize_same_shard.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sapcc/nova path: /nova/scheduler/weights/resize_same_shard.py
# Copyright (c) 2022 SAP
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#... | code_fim | hard | {
"lang": "python",
"repo": "sapcc/nova",
"path": "/nova/scheduler/weights/resize_same_shard.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> return "base"
def prepare(self):
# cache custom field values
if not CustomFields.valueId_to_value_map:
for definition in self.card.board.get_custom_field_definitions():
CustomFields.valueId_to_value_map.update(definition.list_options)
def extra... | code_fim | medium | {
"lang": "python",
"repo": "sahandevs/trello-board-to-csv",
"path": "/data_extractors/card_data_extractor/extractors/custom_fields.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sahandevs/trello-board-to-csv path: /data_extractors/card_data_extractor/extractors/custom_fields.py
from typing import Dict
from ..base import DataExtractor
class CustomFields(DataExtractor):
<|fim_suffix|> self.prepare()
data = dict()
for field in self.card.customField... | code_fim | hard | {
"lang": "python",
"repo": "sahandevs/trello-board-to-csv",
"path": "/data_extractors/card_data_extractor/extractors/custom_fields.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.prepare()
data = dict()
for field in self.card.customFields:
value = str(field._value).strip() if field._value is not None else ""
data[field.name.strip()] = CustomFields.valueId_to_value_map.get(value) or value
return data
CustomFields.valueI... | code_fim | hard | {
"lang": "python",
"repo": "sahandevs/trello-board-to-csv",
"path": "/data_extractors/card_data_extractor/extractors/custom_fields.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> print("总提交者:" + str(len(users)))
for key in users.keys():
print(key + ":" + str(users.get(key)))
"""
使用: python [logfile]
根据svn日志统计有多少提交者
"""
if __name__ == '__main__':
if (len(sys.argv) > 1):
logfile = sys.argv[1]
user_count(logfile)
else:
print("usage: p... | code_fim | hard | {
"lang": "python",
"repo": "hnlaomie/python-tools",
"path": "/util/svn/usercount.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>"""
使用: python [logfile]
根据svn日志统计有多少提交者
"""
if __name__ == '__main__':
if (len(sys.argv) > 1):
logfile = sys.argv[1]
user_count(logfile)
else:
print("usage: python usercount.py [logfile]")<|fim_prefix|># repo: hnlaomie/python-tools path: /util/svn/usercount.py
#!/usr/bin... | code_fim | hard | {
"lang": "python",
"repo": "hnlaomie/python-tools",
"path": "/util/svn/usercount.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hnlaomie/python-tools path: /util/svn/usercount.py
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import sys
def user_count(logfile):
users = {}
hasUser = False
with open(logfile, "r") as input:
for line in input:
if (hasUser == True):
data = lin... | code_fim | medium | {
"lang": "python",
"repo": "hnlaomie/python-tools",
"path": "/util/svn/usercount.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: IntelPython/dpnp path: /dpnp/dpnp_iface_indexing.py
ces to access the diagonal of a (4, 4) array:
>>> import dpnp as np
>>> di = np.diag_indices(4)
>>> di
(array([0, 1, 2, 3]), array([0, 1, 2, 3]))
>>> a = np.arange(16).reshape(4, 4)
>>> a
array([[ 0, 1, 2, 3],
... | code_fim | hard | {
"lang": "python",
"repo": "IntelPython/dpnp",
"path": "/dpnp/dpnp_iface_indexing.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
Replaces specified elements of an array with given values.
For full documentation refer to :obj:`numpy.put`.
Limitations
-----------
Input array is supported as :obj:`dpnp.ndarray`.
Not supported parameter mode.
"""
x1_desc = dpnp.get_dpnp_descriptor(
x1,... | code_fim | hard | {
"lang": "python",
"repo": "IntelPython/dpnp",
"path": "/dpnp/dpnp_iface_indexing.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> return call_origin(numpy.fill_diagonal, x1, val, wrap, dpnp_inplace=True)
def indices(dimensions, dtype=int, sparse=False):
"""
Return an array representing the indices of a grid.
For full documentation refer to :obj:`numpy.indices`.
Limitations
-----------
Parameters ``dty... | code_fim | hard | {
"lang": "python",
"repo": "IntelPython/dpnp",
"path": "/dpnp/dpnp_iface_indexing.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bvraghav/standible path: /render/styles/Diffuse.py
import logging as lg
from . Base import Base
class Diffuse(Base) :
<|fim_suffix|> super().setup()
lg.debug('Configuring Diffuse renderer.')<|fim_middle|>## ====================================================
def setup(self) :
| code_fim | medium | {
"lang": "python",
"repo": "bvraghav/standible",
"path": "/render/styles/Diffuse.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> super().setup()
lg.debug('Configuring Diffuse renderer.')<|fim_prefix|># repo: bvraghav/standible path: /render/styles/Diffuse.py
import logging as lg
from . Base import Base
<|fim_middle|>class Diffuse(Base) :
## ====================================================
def setup(self) :
| code_fim | medium | {
"lang": "python",
"repo": "bvraghav/standible",
"path": "/render/styles/Diffuse.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>## ====================================================
def setup(self) :
super().setup()
lg.debug('Configuring Diffuse renderer.')<|fim_prefix|># repo: bvraghav/standible path: /render/styles/Diffuse.py
import logging as lg
from . Base import Base
<|fim_middle|>class Diffuse(Base) :
| code_fim | easy | {
"lang": "python",
"repo": "bvraghav/standible",
"path": "/render/styles/Diffuse.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: krystiancha/django-smmc path: /smmc/settings.py
from django.conf import settings
MAGICF<|fim_suffix|>ttings, 'SMMC_RANDOM_ENTRIES_AMOUNT', 10)<|fim_middle|>ILE = getattr(settings, 'SMMC_MAGICFILE', None)
RANDOM_ENTRIES_AMOUNT = getattr(se | code_fim | medium | {
"lang": "python",
"repo": "krystiancha/django-smmc",
"path": "/smmc/settings.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>ttings, 'SMMC_RANDOM_ENTRIES_AMOUNT', 10)<|fim_prefix|># repo: krystiancha/django-smmc path: /smmc/settings.py
from django.conf import settings
MAGICF<|fim_middle|>ILE = getattr(settings, 'SMMC_MAGICFILE', None)
RANDOM_ENTRIES_AMOUNT = getattr(se | code_fim | medium | {
"lang": "python",
"repo": "krystiancha/django-smmc",
"path": "/smmc/settings.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> None)
RANDOM_ENTRIES_AMOUNT = getattr(settings, 'SMMC_RANDOM_ENTRIES_AMOUNT', 10)<|fim_prefix|># repo: krystiancha/django-smmc path: /smmc/settings.py
from django.conf import settings
MAGICF<|fim_middle|>ILE = getattr(settings, 'SMMC_MAGICFILE', | code_fim | easy | {
"lang": "python",
"repo": "krystiancha/django-smmc",
"path": "/smmc/settings.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return tuple(get_version_info()['common'])
def get_min_client_version():
return tuple(get_version_info()['min_client'])<|fim_prefix|># repo: frans-fuerst/meddle path: /pymeddle_common.py
#!/usr/bin/env python2
# -*- coding: utf-8 -*-
import json
import os
def meddle_directory():
if os.path... | code_fim | hard | {
"lang": "python",
"repo": "frans-fuerst/meddle",
"path": "/pymeddle_common.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: frans-fuerst/meddle path: /pymeddle_common.py
#!/usr/bin/env python2
# -*- coding: utf-8 -*-
import json
import os
def meddle_directory():
<|fim_suffix|>def get_version():
return tuple(get_version_info()['common'])
def get_min_client_version():
return tuple(get_version_info()['min_clie... | code_fim | hard | {
"lang": "python",
"repo": "frans-fuerst/meddle",
"path": "/pymeddle_common.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: aldebaran/qibuild path: /doc/tools/gen_cmake_doc.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright (c) 2012-2021 SoftBank Robotics. All rights reserved.
# Use of this source code is governed by a BSD-style license (see the COPYING file).
""" Generate Sphinks documentation from a CMake ... | code_fim | hard | {
"lang": "python",
"repo": "aldebaran/qibuild",
"path": "/doc/tools/gen_cmake_doc.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def parse_example(txt):
"""
Parse a block of text linked to a function, looking for an example.
Return None if not example was found
"""
res = re.findall(r'\\example\s*:\s*(\w+)', txt, re.DOTALL)
if not res:
return
if len(res) > 1:
print("warning: only zero or ... | code_fim | hard | {
"lang": "python",
"repo": "aldebaran/qibuild",
"path": "/doc/tools/gen_cmake_doc.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> filters = self.get_filter_params()
if filters:
queryset = self.model.objects.filter(**filters)
else:
queryset = self.model.objects.all()
return queryset<|fim_prefix|># repo: DisMosGit/car_library path: /server/mixins.py
from urllib.parse import unqu... | code_fim | hard | {
"lang": "python",
"repo": "DisMosGit/car_library",
"path": "/server/mixins.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: DisMosGit/car_library path: /server/mixins.py
from urllib.parse import unquote
from datetime import datetime
class ViewRouterMixin():
router_prefix: str = r''
router_basename: str = ''
@classmethod
def router_path(cls):
return {
'prefix': cls.router_prefix,
... | code_fim | hard | {
"lang": "python",
"repo": "DisMosGit/car_library",
"path": "/server/mixins.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
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