text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_suffix|> for key, value in pairs.items():
self.assertEqual(config.getKey(key, value), value)
for key in exceptionKeys:
with self.assertRaises(easydms.config.ErrorConfigKeyNotFound):
config.getRequiredKey(key)
finally:
... | code_fim | hard | {
"lang": "python",
"repo": "pkess/easydms",
"path": "/test/test_core.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: appcove/DocStruct path: /Bin/docstruct-instance-status
#!/usr/bin/python3
# vim:fileencoding=utf-8:ts=2:sw=2:expandtab
# Setup the path
import os, os.path, sys; sys.path.insert(1, os.path.abspath(sys.path[0] + "/../Python"))
import json
from base64 import b64encode
try:
from DocStruct import... | code_fim | hard | {
"lang": "python",
"repo": "appcove/DocStruct",
"path": "/Bin/docstruct-instance-status",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>groups = {}
# Loop over the instances and group them using the EnvironmentID
for instance in instances:
if 'Instances' in instance and len(instance['Instances']):
# Extract the actual instance information
i = instance['Instances'][0]
if len(i.get('Tags', [])) == 0:
if 'Untagged' not i... | code_fim | hard | {
"lang": "python",
"repo": "appcove/DocStruct",
"path": "/Bin/docstruct-instance-status",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def check_collision(self, rect, index):
global coins_collected
'''Check for the colloision with given rect and
remove the coin from the list with the help of index
and increase coins_collected
Params : Rect, int(index)'''
if self.rect.colliderect(rect):
... | code_fim | hard | {
"lang": "python",
"repo": "whyadiwhy/Awesome_Python_Scripts",
"path": "/PyGamesScripts/Dodge Charger Game/Related_Files/main_game.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def check_collision(self, rect):
global init_time
'''Check for the colloision with given rect and
reset the x and y position of the heart image
and if true return true
Params : int(index)
Return : boolean'''
if self.rect.colliderect(rect):
... | code_fim | hard | {
"lang": "python",
"repo": "whyadiwhy/Awesome_Python_Scripts",
"path": "/PyGamesScripts/Dodge Charger Game/Related_Files/main_game.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: whyadiwhy/Awesome_Python_Scripts path: /PyGamesScripts/Dodge Charger Game/Related_Files/main_game.py
import sqlite3
import pygame
import os
import sys
import random
import time
from Related_Files.garage_menu import fetch_all_data
from Related_Files.garage_menu import COINS
from Related_Files.gara... | code_fim | hard | {
"lang": "python",
"repo": "whyadiwhy/Awesome_Python_Scripts",
"path": "/PyGamesScripts/Dodge Charger Game/Related_Files/main_game.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> for k in range(0, ngen):
# a is annealed from 2 to 0
self.a = self.a0 - k * ((self.a0) / (ngen))
# fac is annealed from -1 to -2 to estimate l
self.fac = -1 + k * ((-1) / ngen)
#-----------------------------
... | code_fim | hard | {
"lang": "python",
"repo": "onelieV/neorl",
"path": "/build/lib/neorl/evolu/woa.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: onelieV/neorl path: /build/lib/neorl/evolu/woa.py
# -*- coding: utf-8 -*-
#"""
#Created on Thu Dec 3 14:42:29 2020
#
#@author: Majdi
#"""
import random
import numpy as np
import math
import time
import joblib
class WOA(object):
"""
Whale Optimization Algorithm
... | code_fim | hard | {
"lang": "python",
"repo": "onelieV/neorl",
"path": "/build/lib/neorl/evolu/woa.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
This exception is raised if the application expects a version number to be
present in the config file but does not find one.
"""
pass<|fim_prefix|># repo: exhuma/config_resolver path: /config_resolver/exc.py
"""
Exceptions for the config_resolver package
"""
<|fim_middle|>class... | code_fim | easy | {
"lang": "python",
"repo": "exhuma/config_resolver",
"path": "/config_resolver/exc.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: exhuma/config_resolver path: /config_resolver/exc.py
"""
Exceptions for the config_resolver package
"""
<|fim_suffix|> """
This exception is raised if the application expects a version number to be
present in the config file but does not find one.
"""
pass<|fim_middle|>
class... | code_fim | easy | {
"lang": "python",
"repo": "exhuma/config_resolver",
"path": "/config_resolver/exc.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
Return the path to the template as a relative (dir, file_name) pair.
The directory returned is relative to the directory containing the
class definition of the given object. The method returns None for
this directory if the directory is unknown without first s... | code_fim | hard | {
"lang": "python",
"repo": "Samsung/Castanets",
"path": "/third_party/pystache/specloader.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Samsung/Castanets path: /third_party/pystache/specloader.py
# coding: utf-8
"""
This module supports customized (aka special or specified) template loading.
"""
import os.path
from pystache.loader import Loader
# TODO: add test cases for this class.
class SpecLoader(object):
"""
Su... | code_fim | hard | {
"lang": "python",
"repo": "Samsung/Castanets",
"path": "/third_party/pystache/specloader.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mingquzheye/Neural_Turing_Machine path: /train.py
#!/usr/bin/python3
import argparse
import datetime
import numpy as np
import tensorflow as tf
import matplotlib.pyplot as plt
import tensorflow.keras.backend as K
from ntm.ntm import NTM
from seqgen import generate_patterns
parser = argparse... | code_fim | hard | {
"lang": "python",
"repo": "mingquzheye/Neural_Turing_Machine",
"path": "/train.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> y_pred = ntm_model(x)
rt, r_wt, at, w_wt, Mt = ntm_model.debug_ntm()
cmap_jet = plt.get_cmap('jet')
cmap_gray = plt.get_cmap('gray')
if arg.visualize:
fig_ntm, (ax_at, ax_wwt, ax_mt, ax_rwt, ax_rt) = plt.subplots(5, 1)
fig_ntm.subplots_adjust(top=0.85, bottom=0.15, le... | code_fim | hard | {
"lang": "python",
"repo": "mingquzheye/Neural_Turing_Machine",
"path": "/train.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # axes[0, 1].plot(t, np.sum(i_t[:, :, 1], axis=-1)/1000000, label='Infected GP Seeking')
axes[0, 1].plot(t, i_t[:, group, 2] / 100000, label='Infected Hospitalised')
axes[0, 1].plot(t, i_t[:, group, 3] / 100000, label='Infected ICU')
axes[0, 1].set_ylabel("Serious cases ('0... | code_fim | hard | {
"lang": "python",
"repo": "davestrugnell/seir-model",
"path": "/seir/utils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> axes[1, 0].plot(t, np.sum(r_t[:, group, :], axis=-1) / 1000000, label='Recovered Total')
axes[1, 0].plot(t, r_t[:, group, 0] / 1000000, label='Recovered Asymptomatic')
axes[1, 0].plot(t, r_t[:, group, 1] / 1000000, label='Recovered Symptomatic')
axes[1, 0].plot(t, np.sum(r_... | code_fim | hard | {
"lang": "python",
"repo": "davestrugnell/seir-model",
"path": "/seir/utils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: davestrugnell/seir-model path: /seir/utils.py
import numpy as np
import matplotlib.pyplot as plt
import matplotlib as mpl
import seaborn as sns
# make figures
sns.set(style='whitegrid')
mpl.rcParams['figure.figsize'] = (13, 8)
mpl.rcParams['figure.dpi'] = 100
def plot_solution(solution, t, gro... | code_fim | hard | {
"lang": "python",
"repo": "davestrugnell/seir-model",
"path": "/seir/utils.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: millefalcon/httpx path: /httpx/middleware.py
import typing
from .models import Request, Response
<|fim_suffix|> async def __call__(
self, request: Request, get_response: typing.Callable
) -> Response:
raise NotImplementedError # pragma: no cover<|fim_middle|>class Middl... | code_fim | easy | {
"lang": "python",
"repo": "millefalcon/httpx",
"path": "/httpx/middleware.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> async def __call__(
self, request: Request, get_response: typing.Callable
) -> Response:
raise NotImplementedError # pragma: no cover<|fim_prefix|># repo: millefalcon/httpx path: /httpx/middleware.py
import typing
from .models import Request, Response
<|fim_middle|>
class Middl... | code_fim | easy | {
"lang": "python",
"repo": "millefalcon/httpx",
"path": "/httpx/middleware.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: paulross/pprune-calc path: /A340-SBKP/analysis/plot.py
"""
Plots video data.
"""
import shutil
import sys
from analysis import plot_acceleration, plot_angle_of_view, video_data
from analysis import plot_aspect
from analysis import plot_common
from analysis import plot_constants
from analysis imp... | code_fim | hard | {
"lang": "python",
"repo": "paulross/pprune-calc",
"path": "/A340-SBKP/analysis/plot.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Print out the markdown tables
print()
for i, table_fn in enumerate(
(
plot_distance.markdown_table_aircraft_start,
plot_transits.markdown_table_full_transits,
plot_transits.markdown_table_distance_from_start_by_transit,
plot_acceleratio... | code_fim | hard | {
"lang": "python",
"repo": "paulross/pprune-calc",
"path": "/A340-SBKP/analysis/plot.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_complex(self):
self.check_as_python((b"", b"foo"))
self.check_as_python((b"", b"1"))
self.check_as_python([b"2", (b"", b"1")])
self.check_as_python([b"", b"2", (b"", b"1")])
self.check_as_python(
[b"", b"1", b"2", [b"30", b"40", b"90"], b"60... | code_fim | hard | {
"lang": "python",
"repo": "sielicki/clvm",
"path": "/tests/as_python_test.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sielicki/clvm path: /tests/as_python_test.py
import unittest
from clvm import SExp
class AsPythonTest(unittest.TestCase):
def check_as_python(self, p):
v = SExp.to(p)
p1 = v.as_python()
self.assertEqual(p, p1)
def test_null(self):
self.check_as_python(b... | code_fim | hard | {
"lang": "python",
"repo": "sielicki/clvm",
"path": "/tests/as_python_test.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.check_as_python((b"", b"foo"))
self.check_as_python((b"", b"1"))
self.check_as_python([b"2", (b"", b"1")])
self.check_as_python([b"", b"2", (b"", b"1")])
self.check_as_python(
[b"", b"1", b"2", [b"30", b"40", b"90"], b"600", (b"", b"18")]
)<... | code_fim | medium | {
"lang": "python",
"repo": "sielicki/clvm",
"path": "/tests/as_python_test.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> if p.ok:
# if it was successful, logs the success and saves status as true
logging.basicConfig(filename = 'sync.log', filemode = 'a', format='%(name)s -%(process)d - %(asctime)s - %(levelname)s - %(message)s', level = logging.INFO)
logging.info( "title of articl... | code_fim | hard | {
"lang": "python",
"repo": "jmrocco/docsupport",
"path": "/wordpress/sync.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jmrocco/docsupport path: /wordpress/sync.py
#TODO->Line 54 and 55: Gateway and jwt token
#TODO->Line 33: jwt token
import logging
import requests
import json
from configparser import ConfigParser
import re
from wordpress.file_handler import IpfsHandler
class syncToKauri():
global status
... | code_fim | hard | {
"lang": "python",
"repo": "jmrocco/docsupport",
"path": "/wordpress/sync.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: weiweichen-lab1009/Eatender path: /project/food/main.py
import random
import re
import string
import sys
import threading
from datetime import datetime, timedelta
from .google_maps.info import GM_Restaurant
from .ifoodie.ifoodie import Ifoodie
sys.path.append(".")
from bson.son import SON
from ... | code_fim | hard | {
"lang": "python",
"repo": "weiweichen-lab1009/Eatender",
"path": "/project/food/main.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> Args:
complete_mode (bool, optional): Set it to True to get complete data. Defaults to False.
"""
if "[|]" not in self.page_token:
page_token = self.page_token
index = 0
else:
page_token, index = self.page_token.split("[|]")
... | code_fim | hard | {
"lang": "python",
"repo": "weiweichen-lab1009/Eatender",
"path": "/project/food/main.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>@click.command("environment")
@click.argument("name")
def delete_environment(name):
"""Delete environment"""
console = Console()
try:
thread = environmentClient.delete_environment_async(name)
timeout = time.time() + TIMEOUT
with console.status(f"[bold green] Deleting En... | code_fim | hard | {
"lang": "python",
"repo": "apache/submarine",
"path": "/submarine-sdk/pysubmarine/submarine/cli/environment/command.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: apache/submarine path: /submarine-sdk/pysubmarine/submarine/cli/environment/command.py
"""
Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. See the NOTICE file
distributed with this work for additional information
regarding copyright ownershi... | code_fim | hard | {
"lang": "python",
"repo": "apache/submarine",
"path": "/submarine-sdk/pysubmarine/submarine/cli/environment/command.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> """List environment"""
COLS_TO_SHOW = ["Name", "Id", "dockerImage"]
console = Console()
try:
thread = environmentClient.list_environments_async()
timeout = time.time() + TIMEOUT
with console.status("[bold green] Fetching Environments..."):
while not thre... | code_fim | hard | {
"lang": "python",
"repo": "apache/submarine",
"path": "/submarine-sdk/pysubmarine/submarine/cli/environment/command.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: htomeht/euler path: /002/python/problem2.py
#! /bin/env python
def fib(upto):
n1, n2 = 0, 1
<|fim_suffix|>print sum([x for x in fib(4000000) if (x % 2 == 0)])<|fim_middle|> while n2 < upto:
n1, n2 = n2, n1+n2
yield n1
| code_fim | easy | {
"lang": "python",
"repo": "htomeht/euler",
"path": "/002/python/problem2.py",
"mode": "psm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_suffix|>print sum([x for x in fib(4000000) if (x % 2 == 0)])<|fim_prefix|># repo: htomeht/euler path: /002/python/problem2.py
#! /bin/env python
def fib(upto):
<|fim_middle|> n1, n2 = 0, 1
while n2 < upto:
n1, n2 = n2, n1+n2
yield n1
| code_fim | medium | {
"lang": "python",
"repo": "htomeht/euler",
"path": "/002/python/problem2.py",
"mode": "spm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ielvisd/Coding_Challenges path: /Other/other.py
# def IDsOfPackages(truckSpace, packagesSpace):
# # Algorithm
# original = packagesSpace.copy()
# # Sort the packagesSpace list by size
# packagesSpace.sort(reverse=True)
# # target = 30 (for safety, per the proble spec)
# ... | code_fim | hard | {
"lang": "python",
"repo": "ielvisd/Coding_Challenges",
"path": "/Other/other.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
optimal_routes_dictionary = {
}
# Will add arrays into this list when we are done from the optimal_routes dictionary
optimal_routes_list = []
max_travel_distance = maxTravelDist
length_of_forwardRouteList = len(forwardRouteList)
length_of_returnRouteList = len(returnRouteLi... | code_fim | hard | {
"lang": "python",
"repo": "ielvisd/Coding_Challenges",
"path": "/Other/other.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>r_ratio=0.2,
warmup_factor=0.25,
warmup_iterations=27000,
policy='MultiStepScheduler')
total_epochs = 8<|fim_prefix|># repo: linxi1158/iMIX path: /configs/_base_/schedules/schedule_vqa.py
optimizer = dict(type='AdamW', lr=0.00005, weight_decay=0, eps=1e-9, betas=[0.9, 0.98], training_encoder... | code_fim | medium | {
"lang": "python",
"repo": "linxi1158/iMIX",
"path": "/configs/_base_/schedules/schedule_vqa.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: linxi1158/iMIX path: /configs/_base_/schedules/schedule_vqa.py
optimizer = dict(type='AdamW', lr=0.00005, weight_decay=0, eps=1e-9, betas=[0.9, 0.98], training_encoder_lr_multipl<|fim_suffix|>factor=0.5,
growth_interval=2000,
)
lr_config = dict(
use_warmup=True,
lr_steps=[90000, 1080... | code_fim | medium | {
"lang": "python",
"repo": "linxi1158/iMIX",
"path": "/configs/_base_/schedules/schedule_vqa.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MikulasZelinka/pyfiction path: /pyfiction/games/Six/six.py
import os
from pyfiction.games.game import Game
<|fim_suffix|>
def __init__(self):
pass
name = 'Six'
author = 'Wade Clarke'
path = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'Six.gblorb')
# is... | code_fim | easy | {
"lang": "python",
"repo": "MikulasZelinka/pyfiction",
"path": "/pyfiction/games/Six/six.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> pass
name = 'Six'
author = 'Wade Clarke'
path = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'Six.gblorb')
# issue extra SPACE commands just to be sure
startup_actions = [' \n', ' \n', ' \n', ' \n', '1\n', ' \n']<|fim_prefix|># repo: MikulasZelinka/pyfiction path... | code_fim | easy | {
"lang": "python",
"repo": "MikulasZelinka/pyfiction",
"path": "/pyfiction/games/Six/six.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # issue extra SPACE commands just to be sure
startup_actions = [' \n', ' \n', ' \n', ' \n', '1\n', ' \n']<|fim_prefix|># repo: MikulasZelinka/pyfiction path: /pyfiction/games/Six/six.py
import os
from pyfiction.games.game import Game
<|fim_middle|>
class Six(Game):
def __init__(self):
... | code_fim | medium | {
"lang": "python",
"repo": "MikulasZelinka/pyfiction",
"path": "/pyfiction/games/Six/six.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>ctx.a = cell("int")
ctx.a.set(10)
ctx.tf = transformer({"a": "input", "aa": "output"})
ctx.tf._debug = {
"direct_print" : True
}
ctx.tf.code.cell().set("print('RUN', a); aa = 2 * a")
ctx.a.connect(ctx.tf.a)
ctx.aa = cell("int")
ctx.tf.aa.connect(ctx.aa)
ctx.compute()
checksum = ctx.aa.checksum
print(c... | code_fim | medium | {
"lang": "python",
"repo": "sjdv1982/seamless",
"path": "/tests/lowlevel/fingertip.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sjdv1982/seamless path: /tests/lowlevel/fingertip.py
import asyncio, traceback
loop = asyncio.get_event_loop()
import sys
from seamless.core.cache.buffer_cache import buffer_cache, CacheMissError
buffer_cache.LIFETIME_TEMP = 0.1
buffer_cache.LIFETIME_TEMP_SMALL = 0.1
buffer_cache.LOCAL_MODE_FULL... | code_fim | hard | {
"lang": "python",
"repo": "sjdv1982/seamless",
"path": "/tests/lowlevel/fingertip.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> except Exception as e:
zu.status = 'Error'
zu.details+= '%s\n' % (e,)
zu.save()
return zu
class ZipcodeUpdate(models.Model):
"""
Zipcode Update
"""
date_added = models.DateTimeField(auto_now_add=True)
status = models.CharFie... | code_fim | hard | {
"lang": "python",
"repo": "davisd/django-zipcodes",
"path": "/zipcodes/models.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> return '%s %s' % (self.zipcode,self.location_text,)
class ZipcodeUpload(models.Model):
"""
Zipcode Upload
"""
csv_file = models.FileField(upload_to='apps/zipcodes/csv')
complete_update = models.BooleanField(default=False,
help_text='a complete update wi... | code_fim | hard | {
"lang": "python",
"repo": "davisd/django-zipcodes",
"path": "/zipcodes/models.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: davisd/django-zipcodes path: /zipcodes/models.py
from django.db import models
from managers import ZipcodeManager
import csv
class Zipcode(models.Model):
"""
Zipcode
"""
zipcode = models.CharField(db_index=True, max_length=5, unique=True)
lat = models.DecimalField(max_digits=... | code_fim | hard | {
"lang": "python",
"repo": "davisd/django-zipcodes",
"path": "/zipcodes/models.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> Args:
field: The field to sort on. Defaults to 'word'
order: The order function or dict to sort by. If it is a dict,
it should have key/value pairs corresponding to characters or
sequences of characters, and the order they should be sorted
... | code_fim | hard | {
"lang": "python",
"repo": "zyxw59/soundchanger",
"path": "/conlang/dictionary.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: zyxw59/soundchanger path: /conlang/dictionary.py
ame == 'Dictionary':
return Dictionary(*value)
return dct
class DictionaryMethods(object):
"""Methods for a Dictionary.
"""
def apply_rule_list(self, lines, field1='pron', field2=None):
"""Applies a list of s... | code_fim | hard | {
"lang": "python",
"repo": "zyxw59/soundchanger",
"path": "/conlang/dictionary.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: zyxw59/soundchanger path: /conlang/dictionary.py
A DictionaryView containing all the Entries that match the string.
"""
indices = (i for i, v in enumerate(self) if v.check(s, field, cats))
return DictionaryView(self, indices)
def sorted(self, field='word', order=None... | code_fim | hard | {
"lang": "python",
"repo": "zyxw59/soundchanger",
"path": "/conlang/dictionary.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pedrudehuere/otftp path: /tests/unit/file_util_test.py
import os
import unittest as t
from unittest import mock
from contextlib import contextmanager
from io import BytesIO
from otftp.file_io import FileReader, FileWriter, sanitize_fname
class FileReaderTest(t.TestCase):
def setUp(self):
... | code_fim | hard | {
"lang": "python",
"repo": "pedrudehuere/otftp",
"path": "/tests/unit/file_util_test.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>class TestSanitizeFname(t.TestCase):
@classmethod
def setUpClass(cls):
from os import getcwd
from os.path import join as path_join
cls.target_dir = bytes(
path_join(getcwd(), 'tmp/testfile'),
encoding='ascii')
def test_under_root_dir(self):
... | code_fim | hard | {
"lang": "python",
"repo": "pedrudehuere/otftp",
"path": "/tests/unit/file_util_test.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def tearDown(self):
if os.path.exists(self.filename):
os.unlink(self.filename)
def test_writes_full_file_to_disk(self):
self.writer.write_chunk(self.msg)
self.assertTrue(os.path.exists(self.filename))
self.writer._flush()
with open(self.filena... | code_fim | hard | {
"lang": "python",
"repo": "pedrudehuere/otftp",
"path": "/tests/unit/file_util_test.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # check that it works with assumeRole creator
session_factory = self.replay_flight_data("test_ec2_autotag_assumed")
policy = self.load_policy(
{
"name": "ec2-auto-tag",
"resource": "ec2",
"mode": {"type": "cloudtrail", "ev... | code_fim | hard | {
"lang": "python",
"repo": "cloud-custodian/cloud-custodian",
"path": "/tests/test_autotag.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cloud-custodian/cloud-custodian path: /tests/test_autotag.py
works with assumed roles and can optionally update
session_factory = self.replay_flight_data("test_ec2_autotag_assumed")
policy = self.load_policy(
{
"name": "ec2-auto-tag",
"... | code_fim | hard | {
"lang": "python",
"repo": "cloud-custodian/cloud-custodian",
"path": "/tests/test_autotag.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cloud-custodian/cloud-custodian path: /tests/test_autotag.py
opyright The Cloud Custodian Authors.
# SPDX-License-Identifier: Apache-2.0
from c7n.exceptions import PolicyValidationError
from c7n.actions import AutoTagUser
from c7n.utils import query_instances
from .common import BaseTest, event_d... | code_fim | hard | {
"lang": "python",
"repo": "cloud-custodian/cloud-custodian",
"path": "/tests/test_autotag.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: GFZ-Centre-for-Early-Warning/shakyground path: /openquake/hazardlib/contexts.py
18, GEM Foundation
# OpenQuake is free software: you can redistribute it and/or modify it
# under the terms of the GNU Affero General Public License as published
# by the Free Software Foundation, either version 3... | code_fim | hard | {
"lang": "python",
"repo": "GFZ-Centre-for-Early-Warning/shakyground",
"path": "/openquake/hazardlib/contexts.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: GFZ-Centre-for-Early-Warning/shakyground path: /openquake/hazardlib/contexts.py
nder the terms of the GNU Affero General Public License as published
# by the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
# OpenQuake is distributed in the h... | code_fim | hard | {
"lang": "python",
"repo": "GFZ-Centre-for-Early-Warning/shakyground",
"path": "/openquake/hazardlib/contexts.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> if sitecol is not None:
self.sids = sitecol.sids
for name in self._slots_ if slots is None else slots:
setattr(self, name, getattr(sitecol, name))
class DistancesContext(BaseContext):
"""
Distances context for ground shaking intensity models.
... | code_fim | hard | {
"lang": "python",
"repo": "GFZ-Centre-for-Early-Warning/shakyground",
"path": "/openquake/hazardlib/contexts.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Discriminator, Auxiliary Classifier."""
def __init__(self, batch_size=64, image_size=64, c_dim=5, conv_dim=64):
super(Discriminator, self).__init__()
self.imsize = image_size
layer1 = []
# 3x64x64 -> 64x32x32
layer1.append(SpectralNorm(n... | code_fim | hard | {
"lang": "python",
"repo": "ktxlh/sa-stargan",
"path": "/sagan_models.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ktxlh/sa-stargan path: /sagan_models.py
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Variable
from spectral import SpectralNorm
import numpy as np
class ResidualBlock(nn.Module):
"""Residual Block with instance normalization."""
d... | code_fim | hard | {
"lang": "python",
"repo": "ktxlh/sa-stargan",
"path": "/sagan_models.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # 256x8x8 -> 512x4x4
layer3 = []
layer3.append(SpectralNorm(nn.Conv2d(curr_dim, curr_dim * 2, 4, 2, 1)))
layer3.append(nn.LeakyReLU(0.1))
curr_dim = curr_dim * 2
self.l3 = nn.Sequential(*layer3)
#repeat_num = int(np.log2(self.imsize)) - 3 #TO... | code_fim | hard | {
"lang": "python",
"repo": "ktxlh/sa-stargan",
"path": "/sagan_models.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bharwani/gpiozero path: /docs/examples/rgbled_pot_2.py
from gpiozero import RGBLED, MCP3008
from gpiozero.tools import zip_values
from signal import pause
<|fim_suffix|>led.source = zip_values(red_pot, green_pot, blue_pot)
pause()<|fim_middle|>led = RGBLED(2, 3, 4)
red_pot = MCP3008(0)
green_po... | code_fim | medium | {
"lang": "python",
"repo": "bharwani/gpiozero",
"path": "/docs/examples/rgbled_pot_2.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>led.source = zip_values(red_pot, green_pot, blue_pot)
pause()<|fim_prefix|># repo: bharwani/gpiozero path: /docs/examples/rgbled_pot_2.py
from gpiozero import RGBLED, MCP3008
from gpiozero.tools import zip_values
from signal import pause
<|fim_middle|>led = RGBLED(2, 3, 4)
red_pot = MCP3008(0)
green_po... | code_fim | medium | {
"lang": "python",
"repo": "bharwani/gpiozero",
"path": "/docs/examples/rgbled_pot_2.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lemonnader/LeetCode-Solution-Well-Formed path: /bit-manipulation/0371-sum-of-two-integers.py
class Solution:
def getSum(self, a: int, b: int) -> int:
<|fim_suffix|> # 在 Python 中，只截取低 32 位，
# 0xFFFFFFFF 表示的二进制，每个数位都是 1 ，Ox 表示 16 禁止，F 表示 1111，8 个 F 就是 32 个 1
... | code_fim | hard | {
"lang": "python",
"repo": "lemonnader/LeetCode-Solution-Well-Formed",
"path": "/bit-manipulation/0371-sum-of-two-integers.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # 在 Python 中，只截取低 32 位，
# 0xFFFFFFFF 表示的二进制，每个数位都是 1 ，Ox 表示 16 禁止，F 表示 1111，8 个 F 就是 32 个 1
a = temp & 0xFFFFFFFF
if a >> 31 == 0:
return a
return a - (1 << 32)<|fim_prefix|># repo: lemonnader/LeetCode-Solution-Well-Formed path: /bit-manipul... | code_fim | hard | {
"lang": "python",
"repo": "lemonnader/LeetCode-Solution-Well-Formed",
"path": "/bit-manipulation/0371-sum-of-two-integers.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hengrumay/cartoframes path: /cartoframes/utils.py
"""
private functions used in cartoframes methods
"""
import pandas as pd
def get_auth_client(username=None, api_key=None,
baseurl=None, cdb_client=None):
"""Instantiates a SQL Client from the CARTO Python SDK (v1.0.0)
... | code_fim | hard | {
"lang": "python",
"repo": "hengrumay/cartoframes",
"path": "/cartoframes/utils.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
Get the geometry type in tablename for storing in dataframe metadata
:param sql_auth_client: object SQL Auth client from CARTO Python SDK
:param tablename: string Name of table for cartoframe
:returns: Geometry type. One of 'point', 'line', 'polygon', or None
... | code_fim | hard | {
"lang": "python",
"repo": "hengrumay/cartoframes",
"path": "/cartoframes/utils.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def df_from_table(query, carto_sql_client, index=None):
"""
Create a pandas DataFrame from a CARTO table
:returns: DataFrame associated with a CARTO table
:rtype: cartoframe
"""
resp = carto_sql_client.send(query)
schema = transform_schema(resp['fields'])
if index:
... | code_fim | hard | {
"lang": "python",
"repo": "hengrumay/cartoframes",
"path": "/cartoframes/utils.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> resp = requests.get(self.fake_vault_url + '/v1/auth/token/lookup-self',
headers=headers)
assert resp.json() == {
'data': {
'policies': ['default', 'django-consumer']
}
}
@responses.activate
def test_get_ps... | code_fim | hard | {
"lang": "python",
"repo": "chr1s-hub/vaultkeeper",
"path": "/vaultkeeper/tests/test_fakevault.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> payload = {
'lease_id':
'database/creds/postgresql_myschema_readonly/lease-id1',
'increment': 30
}
resp = requests.put(self.fake_vault_url + '/v1/sys/leases/renew',
headers=headers,
json... | code_fim | hard | {
"lang": "python",
"repo": "chr1s-hub/vaultkeeper",
"path": "/vaultkeeper/tests/test_fakevault.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: chr1s-hub/vaultkeeper path: /vaultkeeper/tests/test_fakevault.py
import requests
import responses
from fake_vault import FakeVault
class TestFakeVault(object):
def setup(self):
self.fake_vault = FakeVault()
self.fake_vault.setup()
self.fake_vault_url = 'https://test... | code_fim | hard | {
"lang": "python",
"repo": "chr1s-hub/vaultkeeper",
"path": "/vaultkeeper/tests/test_fakevault.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>for i in range(-128, 129, 16):
for j in range(-128, 129, 16):
print(f"execute at @s positioned ~{i} ~ ~{j} unless entity @e[tag=marker,tag=processed,distance=..0.1] run function pin-pack:chunks/populate")<|fim_prefix|># repo: UnsignedByte/pin-pack path: /loadchunks.py
# -*- coding: utf-8 -*-
... | code_fim | medium | {
"lang": "python",
"repo": "UnsignedByte/pin-pack",
"path": "/loadchunks.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: UnsignedByte/pin-pack path: /loadchunks.py
# -*- coding: utf-8 -*-
# @Author: edl
# @Date: 11:59:24, 16-Mar-2020
# @Last Modified by: edl
# @Last Modified time: 11:59:51, 16-Mar-2020
<|fim_suffix|>for i in range(-128, 129, 16):
for j in range(-128, 129, 16):
print(f"execute at @s... | code_fim | medium | {
"lang": "python",
"repo": "UnsignedByte/pin-pack",
"path": "/loadchunks.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: JonathanKuelz/Advanced_NLP-models path: /DNC/Dataset/NLP/ptb.py
import tensorflow as tf
import chainer
import numpy as np
from datasets.text_dataset import TextDataset
from embeddings.embedding import GloVeEmbedding
class PTB(TextDataset):
def __init__(
self,
... | code_fim | hard | {
"lang": "python",
"repo": "JonathanKuelz/Advanced_NLP-models",
"path": "/DNC/Dataset/NLP/ptb.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> sentences = []
for idx in range(len(eos) - 1):
if (eos[idx + 1] - eos[idx] - 1) <= self.sequence_length: # deletes too short sentences
continue
sentences += list([data[eos[idx] + 1: eos[idx + 1]]])
return tf.data.Dataset.from_generato... | code_fim | hard | {
"lang": "python",
"repo": "JonathanKuelz/Advanced_NLP-models",
"path": "/DNC/Dataset/NLP/ptb.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: wardi/seantis-questionnaire path: /example/urls.py
from django.conf.urls.defaults import patterns, include, url
from django.contrib import admin
admin.autodiscover()
<|fim_suffix|> url(r'q/', include('questionnaire.urls')),
url(r'^take/(?P<questionnaire_id>[0-9]+)/$', 'questionnaire... | code_fim | medium | {
"lang": "python",
"repo": "wardi/seantis-questionnaire",
"path": "/example/urls.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> url(r'^take/(?P<questionnaire_id>[0-9]+)/$', 'questionnaire.views.generate_run'),
url(r'^$', 'questionnaire.page.views.page', {'page' : 'index'}),
url(r'^(?P<page>.*)\.html$', 'questionnaire.page.views.page'),
url(r'^(?P<lang>..)/(?P<page>.*)\.html$', 'questionnaire.page.views.langpage'),
... | code_fim | medium | {
"lang": "python",
"repo": "wardi/seantis-questionnaire",
"path": "/example/urls.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> url(r'q/', include('questionnaire.urls')),
url(r'^take/(?P<questionnaire_id>[0-9]+)/$', 'questionnaire.views.generate_run'),
url(r'^$', 'questionnaire.page.views.page', {'page' : 'index'}),
url(r'^(?P<page>.*)\.html$', 'questionnaire.page.views.page'),
url(r'^(?P<lang>..)/(?P<page... | code_fim | medium | {
"lang": "python",
"repo": "wardi/seantis-questionnaire",
"path": "/example/urls.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> def _data_is_temporal(self):
self._temporal_data_flag = True
self._ui.timeSkip_pushButton.setEnabled(True)
def _confirm_and_load(self):
if self._temporal_data_flag:
self._ui.timePoint_spinBox.setEnabled(True)
self._ui.timePoint_label.setEnabled(True... | code_fim | hard | {
"lang": "python",
"repo": "mahyar-osn/mapclientplugins.scaffoldrigidalignerstep",
"path": "/mapclientplugins/scaffoldrigidalignerstep/view/scaffoldrigidalignerwidget.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> self._model.set_data_axis('Y')
def _data_x_up(self):
self._model.set_data_axis('X')
def _data_upside_down(self):
pass
def _data_is_partial(self):
if self._ui.partialData_checkBox.isChecked():
self._ui.partialZ_lineEdit.setEnabled(True)
... | code_fim | hard | {
"lang": "python",
"repo": "mahyar-osn/mapclientplugins.scaffoldrigidalignerstep",
"path": "/mapclientplugins/scaffoldrigidalignerstep/view/scaffoldrigidalignerwidget.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mahyar-osn/mapclientplugins.scaffoldrigidalignerstep path: /mapclientplugins/scaffoldrigidalignerstep/view/scaffoldrigidalignerwidget.py
from PySide import QtGui
from .ui_scaffoldrigidalignerwidget import Ui_ScaffoldRigidAlignerWidget
from opencmiss.zinchandlers.scenemanipulation import SceneMa... | code_fim | hard | {
"lang": "python",
"repo": "mahyar-osn/mapclientplugins.scaffoldrigidalignerstep",
"path": "/mapclientplugins/scaffoldrigidalignerstep/view/scaffoldrigidalignerwidget.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: chinmoykalita/alphachats path: /AlphaChats/migrations/0004_remove_chat_ip_add.py
# Generated by Django 3.2 on 2021-04-28 10:19
<|fim_suffix|> dependencies = [
('AlphaChats', '0003_chat_ip_address'),
]
operations = [
migrations.RemoveField(
model_name='chat... | code_fim | medium | {
"lang": "python",
"repo": "chinmoykalita/alphachats",
"path": "/AlphaChats/migrations/0004_remove_chat_ip_add.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> operations = [
migrations.RemoveField(
model_name='chat',
name='ip_add',
),
]<|fim_prefix|># repo: chinmoykalita/alphachats path: /AlphaChats/migrations/0004_remove_chat_ip_add.py
# Generated by Django 3.2 on 2021-04-28 10:19
from django.db import migratio... | code_fim | medium | {
"lang": "python",
"repo": "chinmoykalita/alphachats",
"path": "/AlphaChats/migrations/0004_remove_chat_ip_add.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: EvanMu96/human-reid path: /experiments.py
torch.div(input, norm)
return output
def train_softmax(model, criterion, optimizer, trainloader, use_gpu, epoch, num_classes):
model.train()
model.feature = False
trainloss = 0
for batch_idx, (data, labels) in enumerate(trainloader):
... | code_fim | hard | {
"lang": "python",
"repo": "EvanMu96/human-reid",
"path": "/experiments.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if self.use_gpu:
self.centers = nn.Parameter(torch.randn(self.num_classes, self.feat_dim).cuda())
else:
self.centers = nn.Parameter(torch.randn(self.num_classes, self.feat_dim))
def forward(self, x, labels):
batch_centers = self.... | code_fim | hard | {
"lang": "python",
"repo": "EvanMu96/human-reid",
"path": "/experiments.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: EvanMu96/human-reid path: /experiments.py
def train_softmax(model, criterion, optimizer, trainloader, use_gpu, epoch, num_classes):
model.train()
model.feature = False
trainloss = 0
for batch_idx, (data, labels) in enumerate(trainloader):
if use_gpu:
data, labe... | code_fim | hard | {
"lang": "python",
"repo": "EvanMu96/human-reid",
"path": "/experiments.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: wafec/wafec-py-fsm path: /PyFSM/pyfsm/elements/link_element.py
from .base_unit import BaseUnit
from ..utils import ListUtils
from .transport_event import TransportEvent
class LinkElement(BaseUnit):
def __init__(self):
BaseUnit.__init__(self)
self.sources = None
... | code_fim | medium | {
"lang": "python",
"repo": "wafec/wafec-py-fsm",
"path": "/PyFSM/pyfsm/elements/link_element.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.sources = ListUtils.add_or_create(self.sources, source)
def add_destination(self, destination):
self.destinations = ListUtils.add_or_create(self.destinations, destination)
def add_guard(self, guard):
self.guards = ListUtils.add_or_create(self.guards, guard)
... | code_fim | medium | {
"lang": "python",
"repo": "wafec/wafec-py-fsm",
"path": "/PyFSM/pyfsm/elements/link_element.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def add_guard(self, guard):
self.guards = ListUtils.add_or_create(self.guards, guard)
def add_accept(self, accept):
self.accepts = ListUtils.add_or_create(self.accepts, accept)
def accept(self, event):
self_event = TransportEvent.of(event, self)
if Lis... | code_fim | hard | {
"lang": "python",
"repo": "wafec/wafec-py-fsm",
"path": "/PyFSM/pyfsm/elements/link_element.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lvgu597/mm_frequency path: /config/cascade_rcnn_r50_detectors_dcn.py
_base_ = './cascade_rcnn_r50_fpn_70e_733.py'
model = dict(
backbone=dict(
type='DetectoRS_ResNet',
conv_cfg=dict(type='ConvAWS'),
sac=dict(type='SAC', use_deform=True),
stage_with_sac=(False, ... | code_fim | hard | {
"lang": "python",
"repo": "lvgu597/mm_frequency",
"path": "/config/cascade_rcnn_r50_detectors_dcn.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> out_indices=(0, 1, 2, 3),
frozen_stages=1,
norm_cfg=dict(type='BN', requires_grad=True),
norm_eval=True,
conv_cfg=dict(type='ConvAWS'),
sac=dict(type='SAC', use_deform=True),
stage_with_sac=(False, True, True, True),
... | code_fim | hard | {
"lang": "python",
"repo": "lvgu597/mm_frequency",
"path": "/config/cascade_rcnn_r50_detectors_dcn.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ERPGO/odoo-useful-customizations path: /hr_worked_days/models/models.py
# -*- coding: utf-8 -*-
from odoo import models, fields, api
import datetime
class PayslipInherit(models.Model):
_inherit = 'hr.payslip'
<|fim_suffix|> def _compute_working_days(self):
now = self.date_f... | code_fim | hard | {
"lang": "python",
"repo": "ERPGO/odoo-useful-customizations",
"path": "/hr_worked_days/models/models.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> now = self.date_from
businessdays = 0
holidays = []
global_leaves = self.contract_id.resource_calendar_id.global_leave_ids
for leave in global_leaves:
start_date = leave.date_from.date()
end_date = leave.date_to.date()
delta = end... | code_fim | hard | {
"lang": "python",
"repo": "ERPGO/odoo-useful-customizations",
"path": "/hr_worked_days/models/models.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
# shutil.copyfile(file, p3)
exit
apt_pkg.init()
cache = apt_pkg.Cache(None)
for k in cache.packages:
if k.current_ver:
print(k.name)
ver = k.current_ver
for (file, i) in ver.file_list:
print(i, "\t", file.filename)
if F... | code_fim | hard | {
"lang": "python",
"repo": "kaymccormick/sysconfig",
"path": "/sys-config-files.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kaymccormick/sysconfig path: /sys-config-files.py
#!/usr/bin/python3
import shutil
import apt_pkg
import apt_inst
import apt
import apt.debfile
import apt.progress
import aptsources.distinfo
import os.path
from pathlib import Path
cache = apt.Cache()
for pkg in cache:
if not pkg.installed:
... | code_fim | hard | {
"lang": "python",
"repo": "kaymccormick/sysconfig",
"path": "/sys-config-files.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pyne/pyne path: /tests/test_ace.py
#!/usr/bin/env python
from __future__ import unicode_literals
import os
import pytest
import pyne.ace
def setup():
try:
import urllib.request as urllib
except ImportError:
import urllib
if not os.path.isfile("C012-n.ace"):
... | code_fim | hard | {
"lang": "python",
"repo": "pyne/pyne",
"path": "/tests/test_ace.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> c12 = pyne.ace.Library("C012-n-2p0.ace")
c12.read()
assert "6000.000nc" in c12.tables
table = c12.tables["6000.000nc"]
assert table.nxs[1] == 38937
assert table.nxs[2] == 6000
assert table.nxs[3] == 1513
assert table.jxs[1] == 1
assert 2 in table.reactions
assert... | code_fim | hard | {
"lang": "python",
"repo": "pyne/pyne",
"path": "/tests/test_ace.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> @param text: the real topic text
@param addition: an entity of addition
@param year: a (randomly) generated year for the topic addition
@param user: the name of the user who likes to add the topic
@return: None
"""
topic = Topic(date=... | code_fim | hard | {
"lang": "python",
"repo": "msteinhoff/foption-bot",
"path": "/src/python/components/topic.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: msteinhoff/foption-bot path: /src/python/components/topic.py
# -*- coding: UTF-8 -*-
'''
Created on 30.01.2012
@author: rack
'''
import logging
from sqlalchemy import func,desc
from sqlalchemy.orm.exc import NoResultFound
from datetime import date
from core import runlevel
from ... | code_fim | hard | {
"lang": "python",
"repo": "msteinhoff/foption-bot",
"path": "/src/python/components/topic.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> parsedmove = parse_move(move, self.turn)
self.allmoves += " " + parsedmove
s = "position startpos moves%s" % self.allmoves
self.engine.stdin.write(s + "\n")
self.engine.stdin.write("isready\n")
self._poll_until("readyok", 10)
if self.turn == "White":... | code_fim | hard | {
"lang": "python",
"repo": "agoose77/hivesystem",
"path": "/manual/chess/components/UCIChessEngine.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: agoose77/hivesystem path: /manual/chess/components/UCIChessEngine.py
import subprocess, select, time
import chesskeeper
def parse_move(move, turn):
fr, to, special = chesskeeper.parse_move(move, turn)
if special in ("O-O", "0-0"):
if turn == "White":
return "e1g1"
... | code_fim | hard | {
"lang": "python",
"repo": "agoose77/hivesystem",
"path": "/manual/chess/components/UCIChessEngine.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
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