text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_prefix|># repo: mathybit/dash-login path: /auth.py
import base64
from flask_login import UserMixin
import hashlib
import json
import random
import smtplib
import ssl
import string
import uuid
AUTH_CONFIG_FILE = "./config/auth.json"
USERS_FILE = "./config/userdb.json"
with open(AUTH_CONFIG_FILE) as f:
config =... | code_fim | hard | {
"lang": "python",
"repo": "mathybit/dash-login",
"path": "/auth.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def QuantityTypeClassFactory(unit):
class QuantityType(TypeDecorator):
""" Custom type to handle `~astropy.units.Quantity` objects. """
impl = REAL
def process_bind_param(self, value, dialect):
if isinstance(value, Quantity):
return value.to(unit).... | code_fim | medium | {
"lang": "python",
"repo": "adrn/TwoFace",
"path": "/twoface/db/quantity_type.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: adrn/TwoFace path: /twoface/db/quantity_type.py
# Third-party
from sqlalchemy.types import TypeDecorator, REAL
from astropy.units import Quantity
__all__ = ['QuantityTypeClassFactory']
def QuantityTypeClassFactory(unit):
<|fim_suffix|> impl = REAL
def process_bind_param(self, va... | code_fim | medium | {
"lang": "python",
"repo": "adrn/TwoFace",
"path": "/twoface/db/quantity_type.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: juryowl/hypothesis path: /hypothesis/diagnostic/density.py
import hypothesis
import numpy as np
import torch
from hypothesis.diagnostic import BaseDiagnostic
from scipy.integrate import nquad
<|fim_suffix|>
def __init__(self, space, epsilon=0.1):
super(DensityDiagnostic, self).__i... | code_fim | medium | {
"lang": "python",
"repo": "juryowl/hypothesis",
"path": "/hypothesis/diagnostic/density.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.areas = []
self.results = []
def test(self, function):
area, _ = nquad(function, self.space)
passed = abs(1 - area) <= self.epsilon
self.areas.append(area)
self.results.append(passed)
return passed<|fim_prefix|># repo: juryowl/hypothesis ... | code_fim | hard | {
"lang": "python",
"repo": "juryowl/hypothesis",
"path": "/hypothesis/diagnostic/density.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> area, _ = nquad(function, self.space)
passed = abs(1 - area) <= self.epsilon
self.areas.append(area)
self.results.append(passed)
return passed<|fim_prefix|># repo: juryowl/hypothesis path: /hypothesis/diagnostic/density.py
import hypothesis
import numpy as np
impo... | code_fim | hard | {
"lang": "python",
"repo": "juryowl/hypothesis",
"path": "/hypothesis/diagnostic/density.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: peterSW/transclip path: /test/test_transclip.py
#!/usr/bin/env python
import unittest
from transclip import transclip
from transactions import Transaction
from transactions import TransactionFormat
class TestSingleTransaction(unittest.TestCase):
def setUp(self):
self.transaction1 =... | code_fim | hard | {
"lang": "python",
"repo": "peterSW/transclip",
"path": "/test/test_transclip.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.assertEqual(self.transaction1.credit, transclip(self.text).credit)
def test_extract_balance(self):
self.assertEqual(self.transaction1.balance, transclip(self.text).balance)
if __name__ == '__main__':
unittest.main()<|fim_prefix|># repo: peterSW/transclip path: /test... | code_fim | hard | {
"lang": "python",
"repo": "peterSW/transclip",
"path": "/test/test_transclip.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Dsbaule/INE5452 path: /Simulado 02/URI/06 - Level Order Tree Traversal.py
class Node:
def __init__(self, value):
self.value = value
self.left = None
self.right = None
def insert(self, value):
if self.value >= value:
self.insert_left(value)
... | code_fim | hard | {
"lang": "python",
"repo": "Dsbaule/INE5452",
"path": "/Simulado 02/URI/06 - Level Order Tree Traversal.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> tree = None
numbers = [int(x) for x in input().split()]
for number in numbers:
if tree == None:
tree = Node(number)
else:
tree.insert(number)
output_string = ''
node_queue = [tree]
while len(node_queu... | code_fim | hard | {
"lang": "python",
"repo": "Dsbaule/INE5452",
"path": "/Simulado 02/URI/06 - Level Order Tree Traversal.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>#Total Revenue:
total_revenue = purchase_data["Price"].sum()
print(total_revenue)
#Data Frame:
purchasing_analysis = pd.DataFrame({"Number of Unique Items": [count_unique_items_df],
"Average Price": [average_price],
"Number of Purc... | code_fim | hard | {
"lang": "python",
"repo": "jennifermarie6sl/pandas-challenge",
"path": "/HeroesOfPymoli/HeroesOfPymoli.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>#calc total: Total Count
grouped_by_gender = drop_dupes_df.groupby("Gender")
#Calcs:
total_gender = grouped_by_gender.count()["SN"].values
#total_gender
summed_gender = total_gender.sum()
#summed_gender
percent_per_gender = (total_gender / summed_gender) *100
#percent_per_gender
#DataFrame Appending and... | code_fim | hard | {
"lang": "python",
"repo": "jennifermarie6sl/pandas-challenge",
"path": "/HeroesOfPymoli/HeroesOfPymoli.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jennifermarie6sl/pandas-challenge path: /HeroesOfPymoli/HeroesOfPymoli.py
import pandas as pd
import os
# File to Load (Remember to Change These)
file_to_load = os.path.join(".", "Desktop", "pandas-challenge", "HeroesOfPymoli", "Resources", "purchase_data.csv")
# Read Purchasing File and store ... | code_fim | hard | {
"lang": "python",
"repo": "jennifermarie6sl/pandas-challenge",
"path": "/HeroesOfPymoli/HeroesOfPymoli.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tejasvaidhyadev/covid-twitter-sentiment-classification path: /interactive.py
"Evaluate the model"""
import os
import json
import torch
import random
import logging
import argparse
import numpy as np
import util as util
from torch.utils.data import DataLoader, RandomSampler, SequentialSampler
from... | code_fim | hard | {
"lang": "python",
"repo": "tejasvaidhyadev/covid-twitter-sentiment-classification",
"path": "/interactive.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> dataloader_tester = DataLoader(dataset_test,
sampler=SequentialSampler(dataset_test),
batch_size=1)
result = interAct(model, encoded_query, dataloader_tester, params_runtime, args)
return result
def main():
model = ... | code_fim | hard | {
"lang": "python",
"repo": "tejasvaidhyadev/covid-twitter-sentiment-classification",
"path": "/interactive.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def BertNerResponse(model, queryString):
model, params_runtime, tokenizer,args = model
# tokenzing query
with open('experiment/interactive/sentences.txt', 'w') as f:
f.write(queryString)
encoded_query = tokenizer.batch_encode_plus(
[queryString,],
add_special_toke... | code_fim | hard | {
"lang": "python",
"repo": "tejasvaidhyadev/covid-twitter-sentiment-classification",
"path": "/interactive.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: JiangHongSh/TestGit path: /2018-11-19/yahoo/html_parser.py
# -*- coding: utf-8 -*-
import re
import urllib.parse
from urllib import parse
from bs4 import BeautifulSoup
class HtmlParser(object):
<|fim_suffix|> if page_url is None or html_cont is None:
return
soup = Beau... | code_fim | medium | {
"lang": "python",
"repo": "JiangHongSh/TestGit",
"path": "/2018-11-19/yahoo/html_parser.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def _get_new_data(self, page_url, soup):
res_data={}
res_data['url']=page_url
title_node=soup.find('header').find("h1")
res_data['title']=title_node.get_text()
summary_node = soup.findAll('p')
res_data['summary']=summary_node
img_node = soup.find... | code_fim | hard | {
"lang": "python",
"repo": "JiangHongSh/TestGit",
"path": "/2018-11-19/yahoo/html_parser.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> prefix_list = []
links_shortened = {}
for filename in [f for f in listdir(mypath) if isfile(join(mypath, f))]:
if not filename.startswith("list_"):
continue
with open(mypath + filename, "r") as f:
soup = BeautifulSoup(f.read(), "html.parser")
... | code_fim | hard | {
"lang": "python",
"repo": "mattyjones/policy_sentry",
"path": "/utils/get_links.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> links_dict = {}
for key, value in sorted(links_shortened.items()):
links_dict[key] = value
with open('./policy_sentry/shared/links.yml', 'w+') as outfile:
yaml.dump(links_dict, outfile, default_flow_style=False)
outfile.close()
if __name__ == '__main__':
create_servi... | code_fim | hard | {
"lang": "python",
"repo": "mattyjones/policy_sentry",
"path": "/utils/get_links.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mattyjones/policy_sentry path: /utils/get_links.py
#!/usr/bin/env python
"""
Parses the AWS HTML docs to create a YML file that understands the mapping between services and HTML files.
We store the HTML files in this manner so that the user can be more confident in the integrity of the data -
tha... | code_fim | hard | {
"lang": "python",
"repo": "mattyjones/policy_sentry",
"path": "/utils/get_links.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def invoke(self, params):
request_url = "https://aip.baidubce.com/rest/2.0/ocr/v1/general_basic"
# 二进制方式打开图片文件
access_token = self.getAccessToken()
request_url = request_url + "?access_token=" + access_token
headers = {'content-type': 'application/x-www-form-ur... | code_fim | hard | {
"lang": "python",
"repo": "pengjinfu/douyin_robot",
"path": "/common/apiutil.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pengjinfu/douyin_robot path: /common/apiutil.py
# -*- coding: UTF-8 -*-
import base64
import requests
def setParams(array, key, value):
array[key] = value
class AiPlatImage(object):
def __init__(self, ak, sk):
self.ak = ak
self.sk = sk
self.data = {}
se... | code_fim | hard | {
"lang": "python",
"repo": "pengjinfu/douyin_robot",
"path": "/common/apiutil.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def getAccessToken(self):
# client_id 为官网获取的AK， client_secret 为官网获取的SK
host = 'https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id=' + self.ak + '&client_secret=' + self.sk
response = requests.get(host)
if response:
return respon... | code_fim | hard | {
"lang": "python",
"repo": "pengjinfu/douyin_robot",
"path": "/common/apiutil.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Inria-Asclepios/simul-atrophy path: /scripts/warpAtDifferentScales.py
#!/usr/bin/env python
import subprocess
import sys
import argparse as ag
import bish_utils as bu
def get_input_options():
''' Command line interface, get user input options.
'''
parser = ag.ArgumentParser()
par... | code_fim | hard | {
"lang": "python",
"repo": "Inria-Asclepios/simul-atrophy",
"path": "/scripts/warpAtDifferentScales.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>def main():
'''
Warp input image using the input velocity field at different scales. The
scales are integrated by considering input field as a SVF and using either
forward Euler or scaling and squaring.
'''
#executables
work_dir = "/user/bkhanal/home/works/"
svf_exp = work_... | code_fim | hard | {
"lang": "python",
"repo": "Inria-Asclepios/simul-atrophy",
"path": "/scripts/warpAtDifferentScales.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> if type is not None and os.path.exists(self.path):
os.unlink(self.path)<|fim_prefix|># repo: jimkwon/trampoline path: /workflows/snakesupport.py
__all__ = ['TemporaryDirectory', 'DeleteOnError']
import tempfile
import shutil
import os
<|fim_middle|>class TemporaryDirectory(object):
... | code_fim | hard | {
"lang": "python",
"repo": "jimkwon/trampoline",
"path": "/workflows/snakesupport.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jimkwon/trampoline path: /workflows/snakesupport.py
__all__ = ['TemporaryDirectory', 'DeleteOnError']
import tempfile
import shutil
import os
class TemporaryDirectory(object):
def __init__(self, dir='.'):
self.dir = dir
self.path = None
def __enter__(self):
self... | code_fim | medium | {
"lang": "python",
"repo": "jimkwon/trampoline",
"path": "/workflows/snakesupport.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __init__(self, path, opener=None):
self.path = path
self.opener = opener
def __enter__(self):
if self.opener is None:
return open(self.path, 'wb')
else:
return self.opener(self.path, 'wb')
def __exit__(self, type, value, traceback):... | code_fim | hard | {
"lang": "python",
"repo": "jimkwon/trampoline",
"path": "/workflows/snakesupport.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: CCQC/janus path: /janus/janus.py
from janus.driver import run_janus
import argparse
import sys
def main():
<|fim_suffix|> print('running janus')
print('input file is {}'.format(file_in))
print('output file is {}'.format(file_out))
run_janus(filename=file_in)
if __name__ == '__ma... | code_fim | hard | {
"lang": "python",
"repo": "CCQC/janus",
"path": "/janus/janus.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> sys.stdout = open(file_out, 'w')
print('running janus')
print('input file is {}'.format(file_in))
print('output file is {}'.format(file_out))
run_janus(filename=file_in)
if __name__ == '__main__':
main()<|fim_prefix|># repo: CCQC/janus path: /janus/janus.py
from janus.driver imp... | code_fim | hard | {
"lang": "python",
"repo": "CCQC/janus",
"path": "/janus/janus.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> print('running janus')
print('input file is {}'.format(file_in))
print('output file is {}'.format(file_out))
run_janus(filename=file_in)
if __name__ == '__main__':
main()<|fim_prefix|># repo: CCQC/janus path: /janus/janus.py
from janus.driver import run_janus
import argparse
import s... | code_fim | hard | {
"lang": "python",
"repo": "CCQC/janus",
"path": "/janus/janus.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> ##### appeding the all the values calcualtes upstairs####
ln = []
Continue = True
if Continue:
for each in colListForWriting:
... | code_fim | hard | {
"lang": "python",
"repo": "CNIC-Proteomics/SHIFTS-update",
"path": "/Vertex/Comet_PTM_processingScript.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: CNIC-Proteomics/SHIFTS-update path: /Vertex/Comet_PTM_processingScript.py
__author__ = "nbagwan"
import glob
import os
import pdb
import numpy
import all_stats
separations = "/"
##### this is the sirst step of shifts, which begins with creating the output folder as per the user input #####
#... | code_fim | hard | {
"lang": "python",
"repo": "CNIC-Proteomics/SHIFTS-update",
"path": "/Vertex/Comet_PTM_processingScript.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> list_display = ('name', 'value', 'resource')
list_filter = ('attribute', 'value')
admin.site.register(models.Value, ValueAdmin)
class ChangeAdmin(admin.ModelAdmin):
list_display = ('id', 'user', 'event', 'resource_name', 'resource_id',
'get_change_at', 'resource_name', 's... | code_fim | hard | {
"lang": "python",
"repo": "gmjosack/nsot",
"path": "/nsot/admin.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: gmjosack/nsot path: /nsot/admin.py
from __future__ import unicode_literals
from custom_user.admin import EmailUserAdmin
from django.contrib.auth import get_user_model
from django.contrib.auth.models import Group
from django.contrib import admin
from django.utils.translation import ugettext_lazy ... | code_fim | hard | {
"lang": "python",
"repo": "gmjosack/nsot",
"path": "/nsot/admin.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>class NetworkAdmin(BaseChildAdmin):
base_model = models.Network
mptt_level_indent = 10
mptt_indent_field = 'cidr'
list_display = ('cidr', 'network_address', 'prefix_length', 'ip_version',
'is_ip', 'parent', 'site')
list_filter = ('prefix_length', 'is_ip', 'ip_versio... | code_fim | hard | {
"lang": "python",
"repo": "gmjosack/nsot",
"path": "/nsot/admin.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>def build_syminfo_lib_cache(lib_path):
_syminfo_lib_cache.append(None)
for number in range(230):
_syminfo_lib_cache.append([])
with open(lib_path) as file_iter:
for line in file_iter:
l = line.strip()
if (l == "begin_spacegroup"):
number = None
symbols = {}
... | code_fim | hard | {
"lang": "python",
"repo": "cctbx/cctbx_project",
"path": "/iotbx/mtz/extract_from_symmetry_lib.py",
"mode": "spm",
"license": "BSD-3-Clause-LBNL",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cctbx/cctbx_project path: /iotbx/mtz/extract_from_symmetry_lib.py
from __future__ import absolute_import, division, print_function
from cctbx import sgtbx
import libtbx.load_env
import os.path as op
from six.moves import range
if (libtbx.env.has_module("ccp4io")):
for _ in ["libccp4/data", "da... | code_fim | hard | {
"lang": "python",
"repo": "cctbx/cctbx_project",
"path": "/iotbx/mtz/extract_from_symmetry_lib.py",
"mode": "psm",
"license": "BSD-3-Clause-LBNL",
"source": "the-stack-v2"
} |
<|fim_suffix|> d = tmp_path / "table"
d.mkdir()
path = str(d / f"t_{str(t_ref)}_{poly_trend}{ext}")
samples.write(path)
samples2 = JokerSamples.read(path)
assert samples2.poly_trend == samples.poly_trend
if t_ref is not None:
assert np.allclose(samples2.t_ref.mjd, samples.t_ref.mjd)
... | code_fim | hard | {
"lang": "python",
"repo": "adrn/thejoker",
"path": "/thejoker/tests/test_samples.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> for k in samples.par_names:
assert u.allclose(samples2[k], samples[k])
def _get_dtype_compare_cases():
d1s = []
d2s = []
evals = []
# True
d1 = [{'name': 'P', 'unit': 'd', 'datatype': 'float64'},
{'name': 'e', 'datatype': 'float64'},
{'name': 'omega',... | code_fim | hard | {
"lang": "python",
"repo": "adrn/thejoker",
"path": "/thejoker/tests/test_samples.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: adrn/thejoker path: /thejoker/tests/test_samples.py
# Third-party
from astropy.time import Time
import astropy.units as u
from astropy.tests.helper import quantity_allclose
import h5py
import numpy as np
import pytest
# Project
from ..samples import JokerSamples
from ..samples_helpers import _cu... | code_fim | hard | {
"lang": "python",
"repo": "adrn/thejoker",
"path": "/thejoker/tests/test_samples.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>dot %.0f =%.0f'%(beta,K_vk,K_pok,K_ok,K_p)<|fim_prefix|># repo: shlopack/cursovaya path: /template/4_15.py
template = 'K_{\\text{П}}=\\beta \cdot K_{\\text{ВК}} \cdot K_{\\text{ПОК}} \cdot K_<|fim_middle|>{\\text{OK}}=%.4f \cdot %.1f \cdot %.0f \c | code_fim | easy | {
"lang": "python",
"repo": "shlopack/cursovaya",
"path": "/template/4_15.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: shlopack/cursovaya path: /template/4_15.py
template = 'K_{\\text{П}}=\\beta \cdot K_{<|fim_suffix|>dot %.0f =%.0f'%(beta,K_vk,K_pok,K_ok,K_p)<|fim_middle|>\\text{ВК}} \cdot K_{\\text{ПОК}} \cdot K_{\\text{OK}}=%.4f \cdot %.1f \cdot %.0f \c | code_fim | medium | {
"lang": "python",
"repo": "shlopack/cursovaya",
"path": "/template/4_15.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: shlopack/cursovaya path: /template/4_15.py
template = 'K_{\\text{П}}=\\beta \cdot K_{\\text{ВК}} \cdot K_{\\text{ПОК}} \cdot K_<|fim_suffix|>dot %.0f =%.0f'%(beta,K_vk,K_pok,K_ok,K_p)<|fim_middle|>{\\text{OK}}=%.4f \cdot %.1f \cdot %.0f \c | code_fim | easy | {
"lang": "python",
"repo": "shlopack/cursovaya",
"path": "/template/4_15.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pymag09/magnet path: /config/plugins/consul/consul.py
import sys
from os import environ
try:
import consul
except ImportError as e:
print('Required module is missing. Use "pip3 install python-consul" to resolve the problem.')
sys.exit(1)
import configparser
class PluginConfigNotFoun... | code_fim | hard | {
"lang": "python",
"repo": "pymag09/magnet",
"path": "/config/plugins/consul/consul.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> for dc in self.load_all_data_consul():
index, nodes = self.consul_api.catalog.nodes(dc=dc)
for node in nodes:
node_index, node_data = self.consul_api.catalog.node(node['Node'], dc=dc)
key = "%s/%s/%s" % ("ansible/groups", dc, node['Node'])
... | code_fim | hard | {
"lang": "python",
"repo": "pymag09/magnet",
"path": "/config/plugins/consul/consul.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: linyc74/lstm_dna path: /lstm_dna/annotate.py
import numpy as np
from typing import List, Tuple, Optional
from ngslite import Chromosome, FeatureArray, GenericFeature, translate, rev_comp
from lstm_dna.predictor import Predictor
class DNARegion:
min_orf_coverage = 0.9
start_codons = ('A... | code_fim | hard | {
"lang": "python",
"repo": "linyc74/lstm_dna",
"path": "/lstm_dna/annotate.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> regions = self.correct_regions(
regions=regions,
dna=dna)
features = regions_to_features(
regions=regions,
seqname=self.seqname,
genome_size=len(dna)
)
return features
def get_forward_features(self) -> Featu... | code_fim | hard | {
"lang": "python",
"repo": "linyc74/lstm_dna",
"path": "/lstm_dna/annotate.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> #Colocar la funcion que comienza el plot
x = [1,2,3,4,5]
y = [2,4,6,8,10]
ax = self.graph_1.figure.add_subplot(111)
ax.plot(x,y)
self.graph_1.draw()
ax = self.graph_2.figure.add_subplot(111)
y = [1,4,9,16,25]
ax.plot(x,y)
self... | code_fim | medium | {
"lang": "python",
"repo": "ChristianDosSantos/Proyectos_2",
"path": "/Proyecto_2/GUI/Sensor_gui_2.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def tick (self):
self.textBrowser_i.setText("X Axis = 0.00")
#self.textBrowser_i.append("0.00")
self.textBrowser_i.setFont(QtGui.QFont("Ubuntu Medium Bold",18))
#self.textBrowser_2.setText(ValueB)
self.textBrowser_2.append("0.00")
self.textBrowser_2.setF... | code_fim | hard | {
"lang": "python",
"repo": "ChristianDosSantos/Proyectos_2",
"path": "/Proyecto_2/GUI/Sensor_gui_2.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ChristianDosSantos/Proyectos_2 path: /Proyecto_2/GUI/Sensor_gui_2.py
import matplotlib
matplotlib.use('Qt4Agg')
import sys
from PyQt4 import QtCore, QtGui, uic
import matplotlib.pyplot as plt
from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg as FigureCanvas
from matplotlib.backends... | code_fim | medium | {
"lang": "python",
"repo": "ChristianDosSantos/Proyectos_2",
"path": "/Proyecto_2/GUI/Sensor_gui_2.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: abuendia/computervision-recipes path: /utils_cv/action_recognition/data.py
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
import os
from pathlib import Path
from urllib.request import urlretrieve
import warnings
import decord
from einops.layers.tor... | code_fim | hard | {
"lang": "python",
"repo": "abuendia/computervision-recipes",
"path": "/utils_cv/action_recognition/data.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>def show_batch(batch, sample_length, mean=DEFAULT_MEAN, std=DEFAULT_STD):
"""
Args:
batch (list[torch.tensor]): List of sample (clip) tensors
sample_length (int): Number of frames to show for each sample
mean (tuple): Normalization mean
std (tuple): Normalization st... | code_fim | hard | {
"lang": "python",
"repo": "abuendia/computervision-recipes",
"path": "/utils_cv/action_recognition/data.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Temporal noise
self.random_shift = random_shift
self.temporal_jitter = temporal_jitter
# Video transforms
# 1. resize
trfms = [
transforms.ToTensorVideo(),
transforms.ResizeVideo(im_scale, resize_keep_ratio),
]
# 2.... | code_fim | hard | {
"lang": "python",
"repo": "abuendia/computervision-recipes",
"path": "/utils_cv/action_recognition/data.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: PatiMohit/ZazuML path: /ObjectDetNet/dataloop_services/push_deploy.py
import dtlpy as dl
import os
def deploy_predict_item(package, model_id, checkpoint_id):
input_to_init = {'model_id': model_id,
'checkpoint_id': checkpoint_id}
service_obj = package.services.deplo... | code_fim | hard | {
"lang": "python",
"repo": "PatiMohit/ZazuML",
"path": "/ObjectDetNet/dataloop_services/push_deploy.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> item_input = dl.FunctionIO(type='Item', name='item')
model_input = dl.FunctionIO(type='Json', name='model_id')
checkpoint_input = dl.FunctionIO(type='Json', name='checkpoint_id')
predict_item_function = dl.PackageFunction(name='predict_single_item', inputs=[item_input], outputs=[],
... | code_fim | hard | {
"lang": "python",
"repo": "PatiMohit/ZazuML",
"path": "/ObjectDetNet/dataloop_services/push_deploy.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def estimateAge():
# Today's date
today=datetime.datetime.now()
# Write the header line
ageFile.write("URI" + "," + "Mementos" + "," + "Creation Date" + "," + "Age" +'\n');
# The histogram file contains our 1000 URIs and number of mementos
# skip the header row: URI, memento... | code_fim | medium | {
"lang": "python",
"repo": "correnm/cs595-f13",
"path": "/Supporting Files/Assignment 02/Python Files/EstimateAge.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Today's date
today=datetime.datetime.now()
# Write the header line
ageFile.write("URI" + "," + "Mementos" + "," + "Creation Date" + "," + "Age" +'\n');
# The histogram file contains our 1000 URIs and number of mementos
# skip the header row: URI, memento
uriFile = open('... | code_fim | medium | {
"lang": "python",
"repo": "correnm/cs595-f13",
"path": "/Supporting Files/Assignment 02/Python Files/EstimateAge.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: correnm/cs595-f13 path: /Supporting Files/Assignment 02/Python Files/EstimateAge.py
# Utilities from Hany's Carbon Date too
import codecs
import datetime
from server import index
# Initialize the file for our final results
ageFile = codecs.open('C:/Python27/myFiles/Assignment 2/uri_age.txt','w',... | code_fim | hard | {
"lang": "python",
"repo": "correnm/cs595-f13",
"path": "/Supporting Files/Assignment 02/Python Files/EstimateAge.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>#########
for n in range(1,100):
turtle.left(90)
turtle.forward(n*3)
input()<|fim_prefix|># repo: cp-helsinge/eksempler path: /turtle_test3.py
import turtle
###################################################
# range = antal gange
# rigth or left = grader til højre eller venstre
# forw... | code_fim | medium | {
"lang": "python",
"repo": "cp-helsinge/eksempler",
"path": "/turtle_test3.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cp-helsinge/eksempler path: /turtle_test3.py
import turtle
###################################################
# range = antal gange
# rigt<|fim_suffix|>#########
for n in range(1,100):
turtle.left(90)
turtle.forward(n*3)
input()<|fim_middle|>h or left = grader til højre eller ... | code_fim | medium | {
"lang": "python",
"repo": "cp-helsinge/eksempler",
"path": "/turtle_test3.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: facebookresearch/ParlAI path: /parlai/zoo/sensitive_topics_classifier/build.py
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""
Pretrained Tran... | code_fim | hard | {
"lang": "python",
"repo": "facebookresearch/ParlAI",
"path": "/parlai/zoo/sensitive_topics_classifier/build.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> model_name = 'sensitive_topics_classifier'
mdir = os.path.join(get_model_dir(datapath), model_name)
version = 'v1'
if not built(mdir, version):
opt = {'datapath': datapath}
fnames = ['sensitive_topics_classifier2.tgz']
download_models(
opt,
f... | code_fim | hard | {
"lang": "python",
"repo": "facebookresearch/ParlAI",
"path": "/parlai/zoo/sensitive_topics_classifier/build.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Task1 function of API2
Returns:
[str]: [Return string]
"""
logger.info("In API3 task2 function")
return "task2 success!"
if __name__ == "__main__":
app.run(host="localhost", port=8300,debug=True)<|fim_prefix|># repo: Azure-Samples/azure-monitor-opencensus-python path:... | code_fim | hard | {
"lang": "python",
"repo": "Azure-Samples/azure-monitor-opencensus-python",
"path": "/azure_monitor/python_logger_opencensus_azure/monitoring/examples/api_3.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Azure-Samples/azure-monitor-opencensus-python path: /azure_monitor/python_logger_opencensus_azure/monitoring/examples/api_3.py
"""REST API Module using AppLogger"""
import logging
import json
from flask import Flask, jsonify
import requests
import sys
import os
sys.path.append(os.path.join(os.ge... | code_fim | hard | {
"lang": "python",
"repo": "Azure-Samples/azure-monitor-opencensus-python",
"path": "/azure_monitor/python_logger_opencensus_azure/monitoring/examples/api_3.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> logger.info("Calling API 2")
response = requests.get(url='http://localhost:8100/')
print(f"response = {response.content}")
return jsonify({'data': 'Success API3'})
def task1():
"""Task1 function of API3
Returns:
[str]: [Return string]
"""
logger.info("In API3 tas... | code_fim | hard | {
"lang": "python",
"repo": "Azure-Samples/azure-monitor-opencensus-python",
"path": "/azure_monitor/python_logger_opencensus_azure/monitoring/examples/api_3.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: wimleers/DistributedManyInARow path: /src/DistributedGame/VectorClock.py
class VectorClockError(Exception): pass
class KeyMismatchError(VectorClockError): pass
class VectorClock(object):
def __init__(self, vectorClockString=None):
self.clock = {}
if vectorClockString is not... | code_fim | hard | {
"lang": "python",
"repo": "wimleers/DistributedManyInARow",
"path": "/src/DistributedGame/VectorClock.py",
"mode": "psm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def __lt__(self, other):
self._mergeKeys(other)
self._binaryOperationCheck(other)
for id, value in self.clock.items():
if value >= other.clock[id]:
return False
return True
def __le__(self, other):
self._mergeKeys(other)
... | code_fim | hard | {
"lang": "python",
"repo": "wimleers/DistributedManyInARow",
"path": "/src/DistributedGame/VectorClock.py",
"mode": "spm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_suffix|> t = soup.findAll(attrs={"class":"refsect1"})
description = ''
for p in t[1].findAll('p'):
description = "%s %s"%(description,p)
description = openclosetags.sub('',description)
t = soup.findAll(text=re.compile('Options'))
if len(t) != 0:
if str(t[0].next.string) != 'None':
synops... | code_fim | hard | {
"lang": "python",
"repo": "zeke/zeroclickinfo-fathead",
"path": "/share/fathead/UNCLEAN/parse_svn.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: zeke/zeroclickinfo-fathead path: /share/fathead/UNCLEAN/parse_svn.py
from BeautifulSoup import BeautifulSoup
import re
import os
import sys
openclosediv = re.compile('''<div.*?>|</div>''',re.DOTALL)
openclosep = re.compile('''<p.*?>|</p>''',re.DOTALL)
opencloseh3 = re.compile('''<h3.*?>|</h3>'''... | code_fim | hard | {
"lang": "python",
"repo": "zeke/zeroclickinfo-fathead",
"path": "/share/fathead/UNCLEAN/parse_svn.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> t = soup.findAll(text=re.compile('Options'))
if len(t) != 0:
if str(t[0].next.string) != 'None':
synopsis = "%s %s"%(synopsis,str(t[0].next.string))
t = soup.findAll(text=re.compile('Alternate names'))
if len(t) != 0:
if openclosetags.sub('',str(t[0].next)) != 'None':
previous... | code_fim | hard | {
"lang": "python",
"repo": "zeke/zeroclickinfo-fathead",
"path": "/share/fathead/UNCLEAN/parse_svn.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> """MSCoCo at multiple resolutions."""
def dataset_filename(self):
return "image_ms_coco_tokens32k"
def preprocess_example(self, example, mode, hparams):
image = example["inputs"]
# Get resize method. Include a default if not specified, or if it's not in
# TensorFlow's collection of... | code_fim | hard | {
"lang": "python",
"repo": "yyht/BERT",
"path": "/t2t_bert/utils/tensor2tensor/data_generators/mscoco.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: yyht/BERT path: /t2t_bert/utils/tensor2tensor/data_generators/mscoco.py
# coding=utf-8
# Copyright 2019 The Tensor2Tensor Authors.
#
# 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 ... | code_fim | hard | {
"lang": "python",
"repo": "yyht/BERT",
"path": "/t2t_bert/utils/tensor2tensor/data_generators/mscoco.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> vocab_symbolizer = get_vocab()
_get_mscoco(tmp_dir)
caption_filepath = (
_MSCOCO_TRAIN_CAPTION_FILE if training else _MSCOCO_EVAL_CAPTION_FILE)
caption_filepath = os.path.join(tmp_dir, caption_filepath)
prefix = _MSCOCO_TRAIN_PREFIX if training else _MSCOCO_EVAL_PREFIX
caption_file = io.... | code_fim | hard | {
"lang": "python",
"repo": "yyht/BERT",
"path": "/t2t_bert/utils/tensor2tensor/data_generators/mscoco.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: goodtune/vitriolic path: /tournamentcontrol/competition/migrations/0043_alter_ground_external_identifier.py
# Generated by Django 3.2.13 on 2022-07-30 10:58
from django.db import migrations, models
<|fim_suffix|> operations = [
migrations.AlterField(
model_name="ground",... | code_fim | medium | {
"lang": "python",
"repo": "goodtune/vitriolic",
"path": "/tournamentcontrol/competition/migrations/0043_alter_ground_external_identifier.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class Migration(migrations.Migration):
dependencies = [
("competition", "0042_ground_external_identifier"),
]
operations = [
migrations.AlterField(
model_name="ground",
name="external_identifier",
field=models.CharField(
bla... | code_fim | easy | {
"lang": "python",
"repo": "goodtune/vitriolic",
"path": "/tournamentcontrol/competition/migrations/0043_alter_ground_external_identifier.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> 'molfile': DefaultMappings.NO_INDEX_TEXT_NO_OFFSETS,
# EXAMPLES:
# .mol and .sdf files with \n embedded
}
}
molecule_synonyms = {
'properties':
{
'molecule_synonym': DefaultMappings.ALT_NAME,
# EXAMPLES:
# 'Acetiamine' , 'Quinazoline-2,4-Diol' ,... | code_fim | hard | {
"lang": "python",
"repo": "chembl/chembl_ws_2_es",
"path": "/src/glados/es/ws2es/mappings/es_chembl_molecule_n_drug_shared_mapping.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: chembl/chembl_ws_2_es path: /src/glados/es/ws2es/mappings/es_chembl_molecule_n_drug_shared_mapping.py
cotropin-lipotropin precursor' , 'Orticumab heavy chain' , 'Solitomab' , 'Demciz
# umab light chain' , 'Lampalizumab heavy chain' , 'Romosozumab heavy chain' , 'Blisibim
... | code_fim | hard | {
"lang": "python",
"repo": "chembl/chembl_ws_2_es",
"path": "/src/glados/es/ws2es/mappings/es_chembl_molecule_n_drug_shared_mapping.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: simonjheiler/demographic_change_olg path: /src/model_code/solve.py
"""Solve for household policy functions."""
import numpy as np
from src.model_code.within_period import get_consumption
from src.model_code.within_period import get_hc_effort
from src.model_code.within_period import util
######... | code_fim | hard | {
"lang": "python",
"repo": "simonjheiler/demographic_change_olg",
"path": "/src/model_code/solve.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Consumption
consumption = get_consumption(
assets_this_period=assets_this_period,
assets_next_period=assets_next_period,
pension_benefit=np.float64(0.0),
labor_input=labor_input,
interest_rate=interest_rate,
wage_rate=wage_rate,
income_tax_... | code_fim | hard | {
"lang": "python",
"repo": "simonjheiler/demographic_change_olg",
"path": "/src/model_code/solve.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>try:
total = int(apples) * apple_cost
print(total)
except ValueError:
print("Error - You have to enter a number")<|fim_prefix|># repo: dojojon/pygamezero_examples path: /hello_world.py
print("Hello Dojo")
apples = input("How many apples would you like to buy? ")
<|fim_middle|>apple_cos... | code_fim | easy | {
"lang": "python",
"repo": "dojojon/pygamezero_examples",
"path": "/hello_world.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dojojon/pygamezero_examples path: /hello_world.py
print("Hello Dojo")
apples = input("How many apples would you like to buy? ")
apple_cost = .50
<|fim_suffix|>except ValueError:
print("Error - You have to enter a number")<|fim_middle|>try:
total = int(apples) * apple_cost
print... | code_fim | medium | {
"lang": "python",
"repo": "dojojon/pygamezero_examples",
"path": "/hello_world.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> for personVersionToTest in ["6", "8", "12", "12.1.0"]:
personGUID = "testGUID"
mockResponse, mockResponseHeaders, mockResponseStatusCode = TestingHelper.getPersonMockResult(personGUID=personGUID, version=personVersionToTest)
person = self.getResourse(
guid=personGUID,
... | code_fim | hard | {
"lang": "python",
"repo": "rmetcalf9/EllucianEthosPythonClient",
"path": "/tests/acceptance/test_MainClient_getResource.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.assertEqual(type(person).__name__, "PersonsV" + str(personVersionInResponse))
self.assertEqual(person.version, personVersionInResponse)
self.assertEqual(person.dict["names"][0]["firstName"],"Joe Number 2")
def test_requestingUnknownResourceNameWithGUIDratherThanID_ReturnsGenericResourc... | code_fim | hard | {
"lang": "python",
"repo": "rmetcalf9/EllucianEthosPythonClient",
"path": "/tests/acceptance/test_MainClient_getResource.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: rmetcalf9/EllucianEthosPythonClient path: /tests/acceptance/test_MainClient_getResource.py
# Tests on main client object
import TestHelperSuperClass
import EllucianEthosPythonClient
import base64
import json
import TestingHelper
class helpers(TestHelperSuperClass.testClassWithHelpers):
pass
c... | code_fim | hard | {
"lang": "python",
"repo": "rmetcalf9/EllucianEthosPythonClient",
"path": "/tests/acceptance/test_MainClient_getResource.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: measiala/PUMS_Data_Dictionary path: /tests/process_line_test.py
#!/usr/bin/python3
import py.test
from process_line import *
dd = DataDict('PUMS 2017 Dictionary')
pl = PUMSDict('PUMS 2017 Layout')
def test_add_title():
""" Test add title """
assert add_title('2017 ACS PUMS Data Diction... | code_fim | hard | {
"lang": "python",
"repo": "measiala/PUMS_Data_Dictionary",
"path": "/tests/process_line_test.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """ Process typical lines """
assert process_line('2017 ACS PUMS DATA DICTIONARY', 'Title', dd, pl, '', '', '', '') == None
assert process_line('October 18, 2018', 'Rel Date', dd, pl, '', '', '', '') == None
assert process_line('HOUSING RECORDS', 'Header', dd, pl, '', '', '', '') == 'H'
... | code_fim | hard | {
"lang": "python",
"repo": "measiala/PUMS_Data_Dictionary",
"path": "/tests/process_line_test.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: readthecodes/thriftpy path: /tests/test_base.py
# -*- coding: utf-8 -*-
import thriftpy
def test_obj_equalcheck():
ab = thriftpy.load("addressbook.thrift")
ab2 = thriftpy.load("addressbook.thrift")
assert ab.Person(name="hello") == ab2.Person(name="hello")
def test_cls_equalchec... | code_fim | hard | {
"lang": "python",
"repo": "readthecodes/thriftpy",
"path": "/tests/test_base.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> assert ab.Person == ab2.Person
def test_isinstancecheck():
ab = thriftpy.load("addressbook.thrift")
ab2 = thriftpy.load("addressbook.thrift")
assert isinstance(ab.Person(), ab2.Person)
assert isinstance(ab.Person(name="hello"), ab2.Person)
assert isinstance(ab.PersonNotExistsEr... | code_fim | medium | {
"lang": "python",
"repo": "readthecodes/thriftpy",
"path": "/tests/test_base.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>@app.route('/leaderboard')
def leaderboard():
return render_template('leaderboard.html')
@app.route('/assignments/<int:n>')
def assignment_page(n):
filename = 'assignments/{!s}.html'.format(n)
try:
return render_template(filename)
except TemplateNotFound:
return abort(40... | code_fim | hard | {
"lang": "python",
"repo": "notAmritpal/CGames",
"path": "/cgames/app.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: notAmritpal/CGames path: /cgames/app.py
from flask import Flask, abort, render_template
from jinja2 import TemplateNotFound
app = Flask(__name__)
app.secret_key = 'development key'
@app.route('/')
def index():
return render_template('index.html')
@app.route('/assignments')
def assignment... | code_fim | medium | {
"lang": "python",
"repo": "notAmritpal/CGames",
"path": "/cgames/app.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
@app.route('/assignments/1')
def game():
return render_template('assignments/1.html')
@app.route('/leaderboard')
def leaderboard():
return render_template('leaderboard.html')
@app.route('/assignments/<int:n>')
def assignment_page(n):
filename = 'assignments/{!s}.html'.format(n)
try:
... | code_fim | medium | {
"lang": "python",
"repo": "notAmritpal/CGames",
"path": "/cgames/app.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: nzola/opwen-webapp path: /tests/opwen_email_client/util/test_os.py
from unittest import TestCase
from opwen_email_client.util.os import subdirectories
<|fim_suffix|> self.assertEqual(len(list(subdirectories('/does-not-exist'))), 0)<|fim_middle|>
class SubdirectoriesTests(TestCase):
d... | code_fim | medium | {
"lang": "python",
"repo": "nzola/opwen-webapp",
"path": "/tests/opwen_email_client/util/test_os.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.assertEqual(len(list(subdirectories('/does-not-exist'))), 0)<|fim_prefix|># repo: nzola/opwen-webapp path: /tests/opwen_email_client/util/test_os.py
from unittest import TestCase
from opwen_email_client.util.os import subdirectories
<|fim_middle|>class SubdirectoriesTests(TestCase):
d... | code_fim | medium | {
"lang": "python",
"repo": "nzola/opwen-webapp",
"path": "/tests/opwen_email_client/util/test_os.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_handles_missing_directory(self):
self.assertEqual(len(list(subdirectories('/does-not-exist'))), 0)<|fim_prefix|># repo: nzola/opwen-webapp path: /tests/opwen_email_client/util/test_os.py
from unittest import TestCase
from opwen_email_client.util.os import subdirectories
<|fim_middl... | code_fim | easy | {
"lang": "python",
"repo": "nzola/opwen-webapp",
"path": "/tests/opwen_email_client/util/test_os.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: vanheckelab/jambashbulk-analysis path: /npydowncast.py
import sys
import numpy as np
from numpy import dtype, float64, float128
m = {<|fim_suffix|>items(), key=lambda x: x[1][1])])
np.save(sys.argv[1] + ".reduced.npy", newdata)<|fim_middle|>dtype(float128): dtype(float64)}
data = np.load(sys.arg... | code_fim | medium | {
"lang": "python",
"repo": "vanheckelab/jambashbulk-analysis",
"path": "/npydowncast.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>items(), key=lambda x: x[1][1])])
np.save(sys.argv[1] + ".reduced.npy", newdata)<|fim_prefix|># repo: vanheckelab/jambashbulk-analysis path: /npydowncast.py
import sys
import numpy as np
from numpy import dtype, float64, float128
m = {dtype(float128): dtype(float64)}
data = np.load(sys.argv[1])
newdata ... | code_fim | medium | {
"lang": "python",
"repo": "vanheckelab/jambashbulk-analysis",
"path": "/npydowncast.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Run the script
"""
args = parse_args()
args.url = args.url.lower()
if not args.url.startswith('http://') and not args.url.startswith('https://'):
print "! your URL must start with http:// or https://"
sys.exit(1)
build_binary()
fixup_bin(args.url)
if __name... | code_fim | hard | {
"lang": "python",
"repo": "Alpha0King/pop-nedry",
"path": "/build.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Alpha0King/pop-nedry path: /build.py
import sys
import subprocess
import argparse
import os
def fixup_bin(url):
"""Overwrite the URL placeholder with the user's supplied URL
"""
f = open('build\\pop-nedry.bin', 'r+b')
f.seek(0x1dd)
f.write(url)
f.close()
def build_binary... | code_fim | medium | {
"lang": "python",
"repo": "Alpha0King/pop-nedry",
"path": "/build.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
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