text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_suffix|> """Initialize the evaluator.
Args:
evaluation_fn: Evaluation function that receives the parameters
(model: ArchaiModel, dataloader: torch.utils.data.Dataloader, budget: float) and outputs
a float.
"""
self.evaluation_fn = evalua... | code_fim | hard | {
"lang": "python",
"repo": "microsoft/archai",
"path": "/archai/discrete_search/evaluators/functional.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>display_bus = displayio.FourWire(spi, command=tft_dc, chip_select=tft_cs, reset=tft_rst)
display = ST7789(display_bus, width=320, height=170, colstart=35, rotation=270)
# Make the display context
splash = displayio.Group()
display.show(splash)
color_bitmap = displayio.Bitmap(display.width, display.heig... | code_fim | hard | {
"lang": "python",
"repo": "adafruit/Adafruit_Learning_System_Guides",
"path": "/Pi_SSD_Media_Server/display-info.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: adafruit/Adafruit_Learning_System_Guides path: /Pi_SSD_Media_Server/display-info.py
# SPDX-FileCopyrightText: 2021 ladyada for Adafruit Industries
# SPDX-License-Identifier: MIT
import subprocess
import board
import displayio
from adafruit_display_text import label
from adafruit_bitmap_font impo... | code_fim | hard | {
"lang": "python",
"repo": "adafruit/Adafruit_Learning_System_Guides",
"path": "/Pi_SSD_Media_Server/display-info.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: davidagoua/django-angular path: /djng/styling/bootstrap3/widgets.py
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
import warnings
from django import VERSION as DJANGO_VERSION
from django.utils.html import format_html
from django.utils.safestring import mark_safe
from django.ut... | code_fim | hard | {
"lang": "python",
"repo": "davidagoua/django-angular",
"path": "/djng/styling/bootstrap3/widgets.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def render(self, name=None, value=None, attrs=None, choices=()):
label_tag = super(RadioChoiceInput, self).render(name, value, choices)
return format_html('<div class="radio">{}</div>', label_tag)
def tag(self, attrs=None):
attrs = attrs or self.attrs
tag_attrs = d... | code_fim | hard | {
"lang": "python",
"repo": "davidagoua/django-angular",
"path": "/djng/styling/bootstrap3/widgets.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Cally99/Django-Nuxt-Docker-AWS-Cookiecutter path: /{{cookiecutter.app_name}}/backend/apps/accounts/models.py
import uuid
from django.contrib.auth.models import AbstractUser
from django.db import models
<|fim_suffix|>class CustomUser(AbstractUser):
uuid = models.UUIDField(default=uuid.uuid4,... | code_fim | easy | {
"lang": "python",
"repo": "Cally99/Django-Nuxt-Docker-AWS-Cookiecutter",
"path": "/{{cookiecutter.app_name}}/backend/apps/accounts/models.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> uuid = models.UUIDField(default=uuid.uuid4, primary_key=True, unique=True)
objects = CustomUserManager()
email = models.EmailField(unique=True)<|fim_prefix|># repo: Cally99/Django-Nuxt-Docker-AWS-Cookiecutter path: /{{cookiecutter.app_name}}/backend/apps/accounts/models.py
import uuid
from d... | code_fim | medium | {
"lang": "python",
"repo": "Cally99/Django-Nuxt-Docker-AWS-Cookiecutter",
"path": "/{{cookiecutter.app_name}}/backend/apps/accounts/models.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: TrustyJAID/Trusty-cogs path: /runescape/__init__.py
import json
from pathlib import Path
<|fim_suffix|>async def setup(bot):
n = Runescape(bot)
await bot.add_cog(n)<|fim_middle|>from .runescape import Runescape
with open(Path(__file__).parent / "info.json") as fp:
__red_end_user_dat... | code_fim | medium | {
"lang": "python",
"repo": "TrustyJAID/Trusty-cogs",
"path": "/runescape/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
async def setup(bot):
n = Runescape(bot)
await bot.add_cog(n)<|fim_prefix|># repo: TrustyJAID/Trusty-cogs path: /runescape/__init__.py
import json
from pathlib import Path
<|fim_middle|>from .runescape import Runescape
with open(Path(__file__).parent / "info.json") as fp:
__red_end_user_da... | code_fim | medium | {
"lang": "python",
"repo": "TrustyJAID/Trusty-cogs",
"path": "/runescape/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>async def setup(bot):
n = Runescape(bot)
await bot.add_cog(n)<|fim_prefix|># repo: TrustyJAID/Trusty-cogs path: /runescape/__init__.py
import json
from pathlib import Path
<|fim_middle|>from .runescape import Runescape
with open(Path(__file__).parent / "info.json") as fp:
__red_end_user_dat... | code_fim | medium | {
"lang": "python",
"repo": "TrustyJAID/Trusty-cogs",
"path": "/runescape/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kehsan/simple-games path: /bblocks.py
#!/usr/bin/env python3
# -*- encoding: utf-8 -*-
import sys
from random import choice as rndchoice
from itertools import cycle
from time import sleep
from utils import Loop, TextInput, range1, first, nl
from board import Board, BaseTile, Loc, Dir
from avkut... | code_fim | hard | {
"lang": "python",
"repo": "kehsan/simple-games",
"path": "/bblocks.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class BlockyBlocks(object):
winmsg = "player %s wins!"
counter = Loop(range(check_moves))
def __init__(self):
self.term = Term()
def check_end(self, player):
"""Check if game is finished."""
if all(tile.player==player for tile in board):
board.draw()... | code_fim | hard | {
"lang": "python",
"repo": "kehsan/simple-games",
"path": "/bblocks.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>class AtariRescale42x42(gym.ObservationWrapper):
def __init__(self, env=None):
super(AtariRescale42x42, self).__init__(env)
self.observation_space = Box(0.0, 1.0, [42, 42, 1])
def _observation(self, observation):
return _process_frame42(observation)<|fim_prefix|># repo: vu... | code_fim | hard | {
"lang": "python",
"repo": "vuoristo/simpler-usa",
"path": "/envs.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: vuoristo/simpler-usa path: /envs.py
import cv2
from gym.spaces.box import Box
import numpy as np
import gym
from gym import spaces
import logging
import time
logger = logging.getLogger(__name__)
logger.setLevel(logging.INFO)
def create_env(env_id, client_id, remotes, **kwargs):
spec = gym.sp... | code_fim | hard | {
"lang": "python",
"repo": "vuoristo/simpler-usa",
"path": "/envs.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> frame = frame[34:34+160, :160]
# Resize by half, then down to 42x42 (essentially mipmapping). If we resize
# directly we lose pixels that, when mapped to 42x42, aren't close enough
# to the pixel boundary.
frame = cv2.resize(frame, (80, 80))
frame = cv2.resize(frame, (42, 42))
... | code_fim | medium | {
"lang": "python",
"repo": "vuoristo/simpler-usa",
"path": "/envs.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>*Etot)
N0_mean+=N0*math.exp(-Beta*Etot)
E_mean/=Z_btm
N0_mean/=Z_btm
return [t, Z_btm, E_mean/5, N0_mean/5]
t=0.1
while t<=1.0:
print(naive_bosons(t))
t+=0.1<|fim_prefix|># repo: chw177/Computational-Stat-Mech path: /Chapter 4/naive-bosons.py
import math
def ... | code_fim | hard | {
"lang": "python",
"repo": "chw177/Computational-Stat-Mech",
"path": "/Chapter 4/naive-bosons.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: chw177/Computational-Stat-Mech path: /Chapter 4/naive-bosons.py
import math
def naive_bosons(t):
Beta=1./t
E=[0.]*1+[1.]*3+[2.]*6+[3.]*10+[4.]*15
Z_btm=0
E_mean=0
N0_mean=0
for sigma1 in range(35):
for sigma2 in range(sigma1, 35):
<|fim_suffix|>]+E[sigma4]+E[sig... | code_fim | hard | {
"lang": "python",
"repo": "chw177/Computational-Stat-Mech",
"path": "/Chapter 4/naive-bosons.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kneelleenk/AShareData path: /scripts/daily_report.py
import datetime as dt
import sys
import pandas as pd
from AShareData import AShareDataReader, IndexHighlighter, major_index_valuation, set_global_config
<|fim_suffix|> data_reader = AShareDataReader()
model_factor_ret = data_reader.mo... | code_fim | medium | {
"lang": "python",
"repo": "kneelleenk/AShareData",
"path": "/scripts/daily_report.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> data_reader = AShareDataReader()
model_factor_ret = data_reader.model_factor_return.bind_params(ids=['FF3_SMB_DD', 'FF3_HML_DD', 'Carhart_UMD_DD'])
date = dt.datetime.combine(dt.date.today(), dt.time())
print(pd.concat([data_reader.market_return.get_data(dates=date), model_factor_ret.get_d... | code_fim | medium | {
"lang": "python",
"repo": "kneelleenk/AShareData",
"path": "/scripts/daily_report.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.page = self.ui.new_ui_page(title="Toggles", prev_text="Back", onprevclick=self.main_menu)
self.list = self.page.add_list()
self.list.add_item("Lights", chevron=False, toggle=True, ontoggle=functools.partial(self.ontoggle, "lights"))
self.list.add_item("TV", chevron=Fal... | code_fim | hard | {
"lang": "python",
"repo": "krattai/AEBL",
"path": "/blades/piui/piui_demo.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: krattai/AEBL path: /blades/piui/piui_demo.py
import functools
import os
import random
import time
from piui import PiUi
current_dir = os.path.dirname(os.path.abspath(__file__))
class DemoPiUi(object):
def __init__(self):
self.title = None
self.txt = None
self.img =... | code_fim | hard | {
"lang": "python",
"repo": "krattai/AEBL",
"path": "/blades/piui/piui_demo.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> def onupclick(self):
self.title.set_text("Up ")
print "Up"
def ondownclick(self):
self.title.set_text("Down")
print "Down"
def onhelloclick(self):
print "onstartclick"
self.title.set_text("Hello " + self.txt.get_text())
print "Start"
... | code_fim | hard | {
"lang": "python",
"repo": "krattai/AEBL",
"path": "/blades/piui/piui_demo.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> csv_file = args.csv_file
csv_file_no_extension = os.path.splitext(csv_file)[0]
manifest_file = csv_file_no_extension + '.manifest'
# Create manifest file if there are no duplicate images.
if check_errors(csv_file):
print(f"Issues found. Use {csv_file_no... | code_fim | hard | {
"lang": "python",
"repo": "awsdocs/aws-doc-sdk-examples",
"path": "/python/example_code/lookoutvision/csv_to_manifest.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: awsdocs/aws-doc-sdk-examples path: /python/example_code/lookoutvision/csv_to_manifest.py
# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
# SPDX-License-Identifier: Apache-2.0
"""
Purpose
Shows how to create an Amazon Lookout for Vision manifest file from a CSV file.
The CSV ... | code_fim | hard | {
"lang": "python",
"repo": "awsdocs/aws-doc-sdk-examples",
"path": "/python/example_code/lookoutvision/csv_to_manifest.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
Add command line arguments to the parser.
:param parser: The command line parser.
"""
parser.add_argument(
"csv_file", help="The CSV file that you want to process."
)
parser.add_argument(
"--s3_path", help="The Amazon S3 bucket and folder path for the imag... | code_fim | hard | {
"lang": "python",
"repo": "awsdocs/aws-doc-sdk-examples",
"path": "/python/example_code/lookoutvision/csv_to_manifest.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>def main_loop():
tests = [BitVector(intVal=0, size=32)]
while True:
print 'Trying with tests: {}'.format(crc32.to_expr(tests))
# Find a candidate program
pgm = sat_step(tests)
if pgm is None:
# Unsat means no program of this length is possible
... | code_fim | hard | {
"lang": "python",
"repo": "GaloisInc/pycryptol",
"path": "/examples/crc32.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>crc32 = cryptol.Cryptol().load_module(os.path.abspath('CRC32.cry'))
def sat_step(tests):
"""Find a program that agrees with the oracle for the given tests"""
prop = ('\\program -> '
'compute_program(program:[26][lginsn], '
'CRC32_oracle, [CRC32_to_state(test) | test <- ? ]... | code_fim | medium | {
"lang": "python",
"repo": "GaloisInc/pycryptol",
"path": "/examples/crc32.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: GaloisInc/pycryptol path: /examples/crc32.py
"""CRC32 Synthesis Example
This uses iterative ``sat`` and ``prove`` commands to derive an
implementation of CRC32 given a set of possible instructions defined
in ``CRC32.cry``. This example shows the flexibility gained when using
Python control struc... | code_fim | hard | {
"lang": "python",
"repo": "GaloisInc/pycryptol",
"path": "/examples/crc32.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: HelloYeew/rurusetto-django-allauth path: /allauth/socialaccount/providers/osu/urls.py
from allauth.socialaccount.providers.oauth2.urls import default_urlpatterns
<|fim_suffix|>
urlpatterns = default_urlpatterns(OsuProvider)<|fim_middle|>from .provider import OsuProvider
| code_fim | easy | {
"lang": "python",
"repo": "HelloYeew/rurusetto-django-allauth",
"path": "/allauth/socialaccount/providers/osu/urls.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>urlpatterns = default_urlpatterns(OsuProvider)<|fim_prefix|># repo: HelloYeew/rurusetto-django-allauth path: /allauth/socialaccount/providers/osu/urls.py
from allauth.socialaccount.providers.oauth2.urls import default_urlpatterns
<|fim_middle|>from .provider import OsuProvider
| code_fim | easy | {
"lang": "python",
"repo": "HelloYeew/rurusetto-django-allauth",
"path": "/allauth/socialaccount/providers/osu/urls.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
urlpatterns = default_urlpatterns(OsuProvider)<|fim_prefix|># repo: HelloYeew/rurusetto-django-allauth path: /allauth/socialaccount/providers/osu/urls.py
from allauth.socialaccount.providers.oauth2.urls import default_urlpatterns
<|fim_middle|>from .provider import OsuProvider
| code_fim | easy | {
"lang": "python",
"repo": "HelloYeew/rurusetto-django-allauth",
"path": "/allauth/socialaccount/providers/osu/urls.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def _require_size(name, value, size):
if len(value) != size:
raise ValueError(f"{name} needs size of {size}")
return value
class ImageMessage(Message):
'''
An image message contains the "blob identifier" to a image resource.
'''
type_byte = b'\x02'
def __init__(self... | code_fim | hard | {
"lang": "python",
"repo": "coffeemakr/python-thr",
"path": "/thr/messages.py",
"mode": "spm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: coffeemakr/python-thr path: /thr/messages.py
import secrets
from typing import Optional, Union
from pathlib import Path
import json
from .crypto import SYMMETRIC_KEY_LENGTH
def generate_padding(length: Optional[int] = None) -> bytes:
'''
Generates a padding with a random length or the s... | code_fim | hard | {
"lang": "python",
"repo": "coffeemakr/python-thr",
"path": "/thr/messages.py",
"mode": "psm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Saadkhalid913/LinkedListinPython path: /SinglyLinkedList.py
'''
Singly linked list and node classes by Saadkhalid913
'''
class node():
'''
node class for implementation purposes
'''
def __init__(self, data, next=None):
self.data = data
self.next = next ... | code_fim | hard | {
"lang": "python",
"repo": "Saadkhalid913/LinkedListinPython",
"path": "/SinglyLinkedList.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> while node != None:
arr.append(node)
node = node.next
return list(map(lambda node: node.data, arr))
def reverse(self):
prevnode = self.first_node
node = prevnode.next
while node != None:
nex = node.next
... | code_fim | hard | {
"lang": "python",
"repo": "Saadkhalid913/LinkedListinPython",
"path": "/SinglyLinkedList.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Define the edges, the numbers are indices to the vertices above.
self.edges = [
# Back
(0, 1),
(1, 2),
(2, 3),
(3, 0),
# Front
(5, 4),
(4, 7),
(7, 6),
(6, 5),
... | code_fim | hard | {
"lang": "python",
"repo": "niyaziC52/uPy_Course",
"path": "/Level1_032021/samples/OLED_3dcube.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: niyaziC52/uPy_Course path: /Level1_032021/samples/OLED_3dcube.py
# SOURCE: https://www.mfitzp.com/article/3d-rotating-cube-micropython-oled/
from machine import I2C, Pin
import ssd1306
import math
i2c = I2C(scl=Pin(18), sda=Pin(19), freq=400000)
display=ssd1306.SSD1306_I2C(128,64,i2c)
class Poi... | code_fim | hard | {
"lang": "python",
"repo": "niyaziC52/uPy_Course",
"path": "/Level1_032021/samples/OLED_3dcube.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def create_game(name, id, gamemode):
id = UUID(id)
game = Assassins(name, id)
games[id] = game
def destroy_game(id):
del games[id]<|fim_prefix|># repo: Celdir/Reactive path: /game/reactive.py
import requests
from classes import Game, User
from json import loads
from assassins import Assa... | code_fim | hard | {
"lang": "python",
"repo": "Celdir/Reactive",
"path": "/game/reactive.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Celdir/Reactive path: /game/reactive.py
import requests
from classes import Game, User
from json import loads
from assassins import Assassins
from uuid import UUID
LB_SERVER = "http://aws1.bitwisehero.com/"
# map from ID to Game
games = {}
def load_user(username):
url = LB_SERVER + "get_us... | code_fim | hard | {
"lang": "python",
"repo": "Celdir/Reactive",
"path": "/game/reactive.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>tory from which you want to convert annotations
outputDirectory = './output' # Directory where Yolo annotation output will be saved
)
# ==============================================================================<|fim_prefix|># repo: edowson/bounding-box-annotation-tool path: /config.py
# ========... | code_fim | hard | {
"lang": "python",
"repo": "edowson/bounding-box-annotation-tool",
"path": "/config.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: edowson/bounding-box-annotation-tool path: /config.py
# ============================== Config ========================================
PARAMS = dict(
imageFormat = 'JPG', # Specify Image format [JPG / JPEG / PNG ], Default will be taken as JPG
sourc<|fim_suffix|>tory from ... | code_fim | hard | {
"lang": "python",
"repo": "edowson/bounding-box-annotation-tool",
"path": "/config.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: martincss/first-captioning path: /preprocess_encode_images.py
import tensorflow as tf
import numpy as np
import json
from tqdm import tqdm
from config import DATASET_NAME, DIRECTORIES, CNN_ENCODER
from params import CACHE_FEATURES_BATCH_SIZE
from utils import enable_gpu_memory_growth
from coco... | code_fim | hard | {
"lang": "python",
"repo": "martincss/first-captioning",
"path": "/preprocess_encode_images.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
if __name__ == '__main__':
enable_gpu_memory_growth()
if DATASET_NAME == 'COCO':
print('Now caching image features for COCO train')
_, img_paths_train = image_fnames_captions(
DIRECTORIES['ANNOTATIONS_TRAIN'],
... | code_fim | hard | {
"lang": "python",
"repo": "martincss/first-captioning",
"path": "/preprocess_encode_images.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: strigazi/athena path: /InnerDetector/InDetDetDescr/SCT_GeoModel/python/SCT_GeoModelConfig.py
# Copyright (C) 2002-2020 CERN for the benefit of the ATLAS collaboration
from AthenaConfiguration.ComponentFactory import CompFactory
from IOVDbSvc.IOVDbSvcConfig import addFoldersSplitOnline
def SCT_G... | code_fim | hard | {
"lang": "python",
"repo": "strigazi/athena",
"path": "/InnerDetector/InDetDetDescr/SCT_GeoModel/python/SCT_GeoModelConfig.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>lags.Detector.OverlaySCT:
SCT_AlignCondAlg=CompFactory.SCT_AlignCondAlg
sctAlignCondAlg = SCT_AlignCondAlg(name = "SCT_AlignCondAlg",
UseDynamicAlignFolders = flags.GeoModel.Align.Dynamic)
acc.addCondAlgo(sctAlignCondAlg)
... | code_fim | hard | {
"lang": "python",
"repo": "strigazi/athena",
"path": "/InnerDetector/InDetDetDescr/SCT_GeoModel/python/SCT_GeoModelConfig.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> 1. Associates Config classes with type_hint, plugin, and upgrader, which
is necessary for polymorphic deserialization. See build_config() for
more details.
2. Adds a constant `type_hint` field to the Config which is set to
type_hint.
Args:
type_hint (str): a ... | code_fim | hard | {
"lang": "python",
"repo": "azavea/raster-vision",
"path": "/rastervision_pipeline/rastervision/pipeline/config.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> Adapted from:
https://github.com/samuelcolvin/pydantic/issues/1864#issuecomment-679044432
"""
*_, validation_error = validate_model(self.__class__, self.__dict__)
if validation_error:
raise validation_error
self.validate_config()
def recursi... | code_fim | hard | {
"lang": "python",
"repo": "azavea/raster-vision",
"path": "/rastervision_pipeline/rastervision/pipeline/config.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: azavea/raster-vision path: /rastervision_pipeline/rastervision/pipeline/config.py
from typing import List, Type, Union, Optional, Callable, Dict, TYPE_CHECKING
import inspect
from pydantic import ( # noqa
BaseModel, create_model, Field, root_validator, validate_model,
ValidationError, v... | code_fim | hard | {
"lang": "python",
"repo": "azavea/raster-vision",
"path": "/rastervision_pipeline/rastervision/pipeline/config.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: splunk/splunk-sdk-python path: /tests/searchcommands/test_reporting_command.py
import io
import splunklib.searchcommands as searchcommands
from . import chunked_data_stream as chunky
def test_simple_reporting_command():
<|fim_suffix|> cmd = TestReportingCommand()
ifile = io.BytesIO()
... | code_fim | hard | {
"lang": "python",
"repo": "splunk/splunk-sdk-python",
"path": "/tests/searchcommands/test_reporting_command.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> cmd = TestReportingCommand()
ifile = io.BytesIO()
data = list()
for i in range(0, 10):
data.append({"value": str(i)})
ifile.write(chunky.build_getinfo_chunk())
ifile.write(chunky.build_data_chunk(data))
ifile.seek(0)
ofile = io.BytesIO()
cmd._process_protocol_v2... | code_fim | hard | {
"lang": "python",
"repo": "splunk/splunk-sdk-python",
"path": "/tests/searchcommands/test_reporting_command.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: theotherphp/relay path: /relay_config.py
"""
Configure global stuff like hostname and port
"""
class Config(object):
@property
def app_host(self):
return 'localhost'
@property
def app_port(self):
<|fim_suffix|> return 'teams'
def rest_url(self, api):
... | code_fim | hard | {
"lang": "python",
"repo": "theotherphp/relay",
"path": "/relay_config.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> @property
def db_host(self):
return 'localhost'
@property
def db_port(self):
return '28015'
@property
def db_name(self):
return 'relay'
@property
def walker_table(self):
return 'walkers'
@property
def team_table(self):
ret... | code_fim | medium | {
"lang": "python",
"repo": "theotherphp/relay",
"path": "/relay_config.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def getCorrelation(self):
coeff = np.corrcoef(self.data[-2].getData(), self.data[-1].getData())
assert(int(coeff[0][1]*1000) == int(coeff[1][0]*1000))
return coeff[0][1]
def plot(self):
fig, ax = plt.subplots(self.count, 2)
for i in range(self.count):
self.data[i]._plot(ax[i][0], ax[i][1]... | code_fim | hard | {
"lang": "python",
"repo": "capstone-2019/capstone",
"path": "/visualizer/circuitSimulatorResults.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> for i in range(self.count):
self.data[i]._plotSignal(ax[i])
plt.show()
def plotFft(self):
fig, ax = plt.subplots(self.count)
for i in range(self.count):
self.data[i]._plotFft(ax[i])
plt.show()
def getCorrelation(self):
coeff = np.corrcoef(self.data[-2].getData(), self.data[-1].getDat... | code_fim | medium | {
"lang": "python",
"repo": "capstone-2019/capstone",
"path": "/visualizer/circuitSimulatorResults.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: capstone-2019/capstone path: /visualizer/circuitSimulatorResults.py
import numpy as np
import matplotlib.pyplot as plt
from circuitSimulatorOutput import CircuitSimulatorOutput
class CircuitSimulatorResults(CircuitSimulatorOutput):
<|fim_suffix|> fig, ax = plt.subplots(self.count)
for i in r... | code_fim | hard | {
"lang": "python",
"repo": "capstone-2019/capstone",
"path": "/visualizer/circuitSimulatorResults.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: NiftyR/FiveM-Discord-Bot path: /status.py
#######################################
#######################################
################ ABOUT ################
#######################################
#######################################
# GITHUB REPO: https://github.com/jcfoxtrot54/FiveM-Di... | code_fim | hard | {
"lang": "python",
"repo": "NiftyR/FiveM-Discord-Bot",
"path": "/status.py",
"mode": "psm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_suffix|>#######################################
#######################################
######## DON'T EDIT BELOW HERE ########
#######################################
#######################################
try:
import discord # import discord library
import requests # import requests library
import json # i... | code_fim | hard | {
"lang": "python",
"repo": "NiftyR/FiveM-Discord-Bot",
"path": "/status.py",
"mode": "spm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_suffix|>def get_parser():
return GooeyParser(prog="example_progress_bar_1")
if __name__ == '__main__':
main()<|fim_prefix|># repo: neuroradiology/Gooey path: /gooey/tests/integration/programs/auto_start.py
import sys
from gooey import Gooey
from gooey import GooeyParser
from argparse import Arg... | code_fim | hard | {
"lang": "python",
"repo": "neuroradiology/Gooey",
"path": "/gooey/tests/integration/programs/auto_start.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return GooeyParser(prog="example_progress_bar_1")
if __name__ == '__main__':
main()<|fim_prefix|># repo: neuroradiology/Gooey path: /gooey/tests/integration/programs/auto_start.py
import sys
from gooey import Gooey
from gooey import GooeyParser
from argparse import ArgumentParser
@Goo... | code_fim | medium | {
"lang": "python",
"repo": "neuroradiology/Gooey",
"path": "/gooey/tests/integration/programs/auto_start.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: neuroradiology/Gooey path: /gooey/tests/integration/programs/auto_start.py
import sys
from gooey import Gooey
from gooey import GooeyParser
from argparse import ArgumentParser
@Gooey(
progress_regex=r"^progress: (-?\d+)%$",
disable_progress_bar_animation=True,
dump_build_co... | code_fim | medium | {
"lang": "python",
"repo": "neuroradiology/Gooey",
"path": "/gooey/tests/integration/programs/auto_start.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>DOMAIN = "schlage"
LOGGER = logging.getLogger(__package__)
MANUFACTURER = "Schlage"
UPDATE_INTERVAL = timedelta(seconds=30)<|fim_prefix|># repo: home-assistant/core path: /homeassistant/components/schlage/const.py
"""Constants for the Schlage integration."""
<|fim_middle|>from datetime import timedelta
... | code_fim | easy | {
"lang": "python",
"repo": "home-assistant/core",
"path": "/homeassistant/components/schlage/const.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: home-assistant/core path: /homeassistant/components/schlage/const.py
"""Constants for the Schlage integration."""
<|fim_suffix|>DOMAIN = "schlage"
LOGGER = logging.getLogger(__package__)
MANUFACTURER = "Schlage"
UPDATE_INTERVAL = timedelta(seconds=30)<|fim_middle|>from datetime import timedelta
... | code_fim | easy | {
"lang": "python",
"repo": "home-assistant/core",
"path": "/homeassistant/components/schlage/const.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> (r'^traffic_log/', include('traffic_log.urls')),
('^common/', include('common.urls')),
('^jobs/', include('jobs.urls')),
('^errors/', include('errors.urls')),
# Facebook app.
('^fbapp/', include('fbapp.urls')),
(r'^m', 'landing_page.views.go_mobile'),
('^_ah/warmup/?'... | code_fim | hard | {
"lang": "python",
"repo": "chirpradio/chirpradio",
"path": "/urls.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: chirpradio/chirpradio path: /urls.py
# Copyright 2008 Google Inc.
# Copyright 2009 The Chicago Independent Radio Project
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at... | code_fim | hard | {
"lang": "python",
"repo": "chirpradio/chirpradio",
"path": "/urls.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bidivermaak/Advanced-Python-Programming-Second-Edition path: /Chapter07/example5.py
import time
class Timer:
def __init__(self, timeout):
<|fim_suffix|> while True:
if timer.done():
print("Timer is done!")
break<|fim_middle|> self.timeout = timeout
... | code_fim | medium | {
"lang": "python",
"repo": "bidivermaak/Advanced-Python-Programming-Second-Edition",
"path": "/Chapter07/example5.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
if __name__ == "__main__":
timer = Timer(1.0)
while True:
if timer.done():
print("Timer is done!")
break<|fim_prefix|># repo: bidivermaak/Advanced-Python-Programming-Second-Edition path: /Chapter07/example5.py
import time
class Timer:
def __init__(self, tim... | code_fim | medium | {
"lang": "python",
"repo": "bidivermaak/Advanced-Python-Programming-Second-Edition",
"path": "/Chapter07/example5.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: EconForge/interpolation.py path: /misc/speed_comparison_cuda.py
from interpolation.splines.eval_cubic_numba import vec_eval_cubic_spline_3
from interpolation.splines.filter_cubic import filter_coeffs
from interpolation.splines.multilinear_numba import multilinear_interpolation
from interpolation... | code_fim | hard | {
"lang": "python",
"repo": "EconForge/interpolation.py",
"path": "/misc/speed_comparison_cuda.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|># warmup
res_cuda = numpy.zeros_like(res)
jitted[(N, 1)](a, b, orders, C, X, res_cuda, Ad, dAd)
cuda.synchronize()
t4 = time.time()
d_a = cuda.to_device(a)
d_b = cuda.to_device(b)
d_orders = cuda.to_device(orders)
d_C = cuda.to_device(C)
d_Ad = cuda.to_device(Ad)
d_dAd = cuda.to_device(dAd)
d_X = cuda.t... | code_fim | hard | {
"lang": "python",
"repo": "EconForge/interpolation.py",
"path": "/misc/speed_comparison_cuda.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: chrisrgunn/cs156project path: /PEAK-0.5a4dev_r2085/src/peak/storage/api.py
from interfaces import *
from transactions import *
from data_managers import *
from connections import *
from caches import *
from lazy_loader import *
from peak.util.imports import lazyModule
xmi = lazyModule('peak.sto... | code_fim | easy | {
"lang": "python",
"repo": "chrisrgunn/cs156project",
"path": "/PEAK-0.5a4dev_r2085/src/peak/storage/api.py",
"mode": "psm",
"license": "Python-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> from peak.api import config
return config.ProviderOf(IDataManager,*classes)<|fim_prefix|># repo: chrisrgunn/cs156project path: /PEAK-0.5a4dev_r2085/src/peak/storage/api.py
from interfaces import *
from transactions import *
from data_managers import *
from connections import *
from caches import ... | code_fim | easy | {
"lang": "python",
"repo": "chrisrgunn/cs156project",
"path": "/PEAK-0.5a4dev_r2085/src/peak/storage/api.py",
"mode": "spm",
"license": "Python-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>print("loading images...")
Images = loadBatch(imagePaths)
print("loading SVM model...")
clf = joblib.load(svmPath);
print("Extracting features, this may take a while for large collections of images...") # should probably use batches for this as well
extractor = FeatureExtractor()
features = extracto... | code_fim | hard | {
"lang": "python",
"repo": "aymen-mouelhi/glyphreader",
"path": "/src/classify.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: aymen-mouelhi/glyphreader path: /src/classify.py
#!/usr/bin/python3
'''
Created on 7 Jan 2017
@author: Morris Franken
Classifies an image or a set of images inside a directory
'''
import numpy as np
import os
import sys
from sklearn.externals import joblib
from os.path import join, isdir, isfi... | code_fim | hard | {
"lang": "python",
"repo": "aymen-mouelhi/glyphreader",
"path": "/src/classify.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># ------------------- Joined Disk -------------------
class JoinedWheel(cqparts.Part):
# Parameters
l_radius = PositiveFloat(100, doc="left wheel's radius")
l_width = PositiveFloat(10, doc="left wheel's radius")
r_radius = PositiveFloat(100, doc="right wheel's radius")
r_width = Posit... | code_fim | hard | {
"lang": "python",
"repo": "jmwright/cqparts",
"path": "/docs/doc/_static/iframes/parts/generate.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>from cqparts.display import render_props, display
class Box(cqparts.Part):
_render = render_props(template='red', alpha=0.2)
def make(self):
return cadquery.Workplane('XY').box(10,10,10)
red_box = Box()
# ------------------- Export -------------------
from cqparts.display import get_di... | code_fim | hard | {
"lang": "python",
"repo": "jmwright/cqparts",
"path": "/docs/doc/_static/iframes/parts/generate.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jmwright/cqparts path: /docs/doc/_static/iframes/parts/generate.py
#!/usr/bin/env python
# The code here should be representative of that in:
# https://cqparts.github.io/cqparts/doc/tutorials/assembly.html
# ------------------- Box -------------------
import cadquery
import cqparts
from cqp... | code_fim | hard | {
"lang": "python",
"repo": "jmwright/cqparts",
"path": "/docs/doc/_static/iframes/parts/generate.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dmonroy/spa path: /spa/middlewares.py
from spa import gzip_util
COMPRESSABLE_MIMETYPES = (
'text/plain',
'text/html',
'text/css',
'application/json',
'application/javascript',
'application/x-javascript',
'text/xml',
'application/xml',
'application/xml+rss',
... | code_fim | hard | {
"lang": "python",
"repo": "dmonroy/spa",
"path": "/spa/middlewares.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> data = self.app(environ, _start_response)
if buffer['status'].startswith('200 ') and buffer['to_gzip']:
data = gzip_util.compress(data, self.compress_level)
headers = buffer['headers']
headers.append(('Content-Encoding', 'gzip'))
headers.appe... | code_fim | hard | {
"lang": "python",
"repo": "dmonroy/spa",
"path": "/spa/middlewares.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: philippkraft/decomp path: /examples/multi_layer_cmf.py
"""
An example with multiple decomp layers, connected with water flux modelled with CMF
requires: cmf
"""
import cmf
from decomp.cmfconnector import CmfConnector
import datetime
import numpy as np
import xarray as xr
class MultiLayerDECOM... | code_fim | hard | {
"lang": "python",
"repo": "philippkraft/decomp",
"path": "/examples/multi_layer_cmf.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
Plots the result dataset
:param a: The result xarray.Dataset
:return:
"""
import matplotlib.pyplot as plt
fig, axes = plt.subplots(nrows=len(a.data_vars), sharex='all', sharey='all')
for ax, var in zip(axes, a.data_vars):
data... | code_fim | hard | {
"lang": "python",
"repo": "philippkraft/decomp",
"path": "/examples/multi_layer_cmf.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: yangzhou6666/CONTA path: /pseudo_mask/prepare_food103.py
import os
import json
import argparse
import numpy as np
def process_images(data_path, split_rate=0.9):
'''Convert image information into json files'''
label_dict = {}
with open(os.path.join(data_path, "label.txt"), 'r') as f:... | code_fim | hard | {
"lang": "python",
"repo": "yangzhou6666/CONTA",
"path": "/pseudo_mask/prepare_food103.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
if __name__ == "__main__":
parser = argparse.ArgumentParser()
# Usage: --data_path /your/dataset/path/VOCdevkit
parser.add_argument("--data_path", default="data/food_public/", type=str, help="The path of Food 103 dataset")
args = parser.parse_args()
if not os.path.exists("data/food10... | code_fim | hard | {
"lang": "python",
"repo": "yangzhou6666/CONTA",
"path": "/pseudo_mask/prepare_food103.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># Add bounding boxes
attrib = {"layer": "BBOX"}
boxes = []
# The "primitive" representation for TEXT entities is the bounding box:
for prim in disassemble.to_primitives(text_entities):
p = msp.add_lwpolyline(prim.vertices(), dxfattribs=attrib)
boxes.append(p)
# Zoom on bounding boxes (fast):
zoo... | code_fim | hard | {
"lang": "python",
"repo": "triroakenshield/ezdxf",
"path": "/examples/addons/text_to_virtual_entities.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># The "primitive" representation for TEXT entities is the bounding box:
for prim in disassemble.to_primitives(text_entities):
p = msp.add_lwpolyline(prim.vertices(), dxfattribs=attrib)
boxes.append(p)
# Zoom on bounding boxes (fast):
zoom.objects(msp, boxes, factor=1.1)
doc.saveas(OUTBOX / FILE)<... | code_fim | hard | {
"lang": "python",
"repo": "triroakenshield/ezdxf",
"path": "/examples/addons/text_to_virtual_entities.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: triroakenshield/ezdxf path: /examples/addons/text_to_virtual_entities.py
# Copyright (c) 2021, Manfred Moitzi
# License: MIT License
from pathlib import Path
import ezdxf
from ezdxf.addons import text2path
from ezdxf import zoom, disassemble
from ezdxf.lldxf import const
EXAMPLES = Path(__file__... | code_fim | hard | {
"lang": "python",
"repo": "triroakenshield/ezdxf",
"path": "/examples/addons/text_to_virtual_entities.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dereyly/mmdet_sota path: /mmdet/models/losses/gaussian_focal_loss.py
import torch.nn as nn
from ..builder import LOSSES
from .utils import weighted_loss
@weighted_loss
def gaussian_focal_loss(pred, gaussian_target, alpha=2.0, gamma=4.0):
eps = 1e-12
pos_weights = gaussian_target.eq(1)
... | code_fim | hard | {
"lang": "python",
"repo": "dereyly/mmdet_sota",
"path": "/mmdet/models/losses/gaussian_focal_loss.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def forward(self,
pred,
target,
weight=None,
avg_factor=None,
reduction_override=None):
assert reduction_override in (None, 'none', 'mean', 'sum')
reduction = (
reduction_override if reduction_o... | code_fim | hard | {
"lang": "python",
"repo": "dereyly/mmdet_sota",
"path": "/mmdet/models/losses/gaussian_focal_loss.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def equals(self, __a0: object) -> bool: ...
def getClass(self) -> java.lang.Class: ...
def getDescription(self) -> unicode: ...
def getName(self) -> unicode: ...
def getValue(self, settings: ghidra.docking.settings.Settings) -> bool: ...
def hasValue(self, settings: ghidra.do... | code_fim | hard | {
"lang": "python",
"repo": "kohnakagawa/ghidra_scripts",
"path": "/ghidra9.2.1_pyi/ghidra/util/table/field/FunctionThunkSettingsDefinition.pyi",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kohnakagawa/ghidra_scripts path: /ghidra9.2.1_pyi/ghidra/util/table/field/FunctionThunkSettingsDefinition.pyi
from typing import List
import ghidra.docking.settings
import java.lang
class FunctionThunkSettingsDefinition(object, ghidra.docking.settings.BooleanSettingsDefinition):
DEF: ghidra... | code_fim | medium | {
"lang": "python",
"repo": "kohnakagawa/ghidra_scripts",
"path": "/ghidra9.2.1_pyi/ghidra/util/table/field/FunctionThunkSettingsDefinition.pyi",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def equals(self, __a0: object) -> bool: ...
def getClass(self) -> java.lang.Class: ...
def getDescription(self) -> unicode: ...
def getName(self) -> unicode: ...
def getValue(self, settings: ghidra.docking.settings.Settings) -> bool: ...
def hasValue(self, settings: ghidra.doc... | code_fim | hard | {
"lang": "python",
"repo": "kohnakagawa/ghidra_scripts",
"path": "/ghidra9.2.1_pyi/ghidra/util/table/field/FunctionThunkSettingsDefinition.pyi",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Gandabh/E-commerce-Site path: /account/users/pipeline.py
def update_user_social_data(strategy, *args, **kwargs):
response = kwargs['response']
backend = kwargs['backend']
user = kwargs['user']
user_id = response.get('id')
picture = response.get('picture<|fim_suffix|>dth=600&he... | code_fim | medium | {
"lang": "python",
"repo": "Gandabh/E-commerce-Site",
"path": "/account/users/pipeline.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>dth=600&height=600'
user.image = picture_data
else:
user.image = picture
user.save()<|fim_prefix|># repo: Gandabh/E-commerce-Site path: /account/users/pipeline.py
def update_user_social_data(strategy, *args, **kwargs):
response = kwargs['response']
backend = kwargs['backen... | code_fim | medium | {
"lang": "python",
"repo": "Gandabh/E-commerce-Site",
"path": "/account/users/pipeline.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: songxiaoyuan/leetcode path: /python/kmp.py
def getNext(s):
ret =[0]*(len(s)+1)
j = 0
for x in xrange(1,len(s)):
while j>0 and s[j] != s[x]:
j = ret[j]
if s[j] == s[x]:
j+=1
ret[x+1] = j
return ret
def findLength(target,find,next):
<... | code_fim | hard | {
"lang": "python",
"repo": "songxiaoyuan/leetcode",
"path": "/python/kmp.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
:type A: List[int]
:type B: List[int]
:rtype: int
"""
j = 0
for x in xrange(0,len(target)):
while j>0 and target[x] != find[j]:
j = next[j]
if target[x] == find[j]:
j+=1
if j == len(find):
return x-j+1
return -... | code_fim | medium | {
"lang": "python",
"repo": "songxiaoyuan/leetcode",
"path": "/python/kmp.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: commandlinegirl/hail path: /query/test/test_query.py
import pytest
import hail as hl
from hailtop.hailctl.dev.query import cli
def test_simple_table():
t = hl.utils.range_table(50, 3)
t = t.filter((t.idx % 3 == 0) | ((t.idx / 7) % 3 == 0))
n = t.count()
print(f'n {n}')
assert... | code_fim | hard | {
"lang": "python",
"repo": "commandlinegirl/hail",
"path": "/query/test/test_query.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if test_value is not None:
old = await client.set_flag(test_flag, test_value)
assert old is None
flags, invalid = await client.get_flag(["invalid"])
assert invalid == ["'invalid'"]
assert flags == {}<|fim_prefix|># repo: commandlinegirl/... | code_fim | hard | {
"lang": "python",
"repo": "commandlinegirl/hail",
"path": "/query/test/test_query.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>class UserRejectedKey(Exception):
"""
The user interactively rejected a key.
"""
class InvalidEntry(Exception):
"""
An entry in a known_hosts file could not be interpreted as a valid entry.
"""
class HostKeyChanged(Exception):
"""
The host key of a remote host has cha... | code_fim | hard | {
"lang": "python",
"repo": "civascu/hue",
"path": "/desktop/core/ext-py/Twisted/twisted/conch/error.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: civascu/hue path: /desktop/core/ext-py/Twisted/twisted/conch/error.py
# Copyright (c) 2001-2008 Twisted Matrix Laboratories.
# See LICENSE for details.
"""
An error to represent bad things happening in Conch.
Maintainer: Paul Swartz
"""
class ConchError(Exception):
def __init__(self, valu... | code_fim | hard | {
"lang": "python",
"repo": "civascu/hue",
"path": "/desktop/core/ext-py/Twisted/twisted/conch/error.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> @ivar lineno: The line number of the offending entry in the given path.
@type lineno: L{int}
"""
def __init__(self, offendingEntry, path, lineno):
Exception.__init__(self)
self.offendingEntry = offendingEntry
self.path = path
self.lineno = lineno<|fim_prefi... | code_fim | hard | {
"lang": "python",
"repo": "civascu/hue",
"path": "/desktop/core/ext-py/Twisted/twisted/conch/error.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def test_winning_numbers(lotteryround):
r = lottery.winning_numbers(lotteryround)
assert r
def test_ticket_winnings(lotteryround, ticketid):
r = lottery.ticket_winnings(lotteryround, ticketid)
assert r
def test_address_winnings(address, lotteryround):
r = lottery.address_winnings(... | code_fim | hard | {
"lang": "python",
"repo": "asmitbhantana/pancakeswap-lottery",
"path": "/tests/test_lotteryv2.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: asmitbhantana/pancakeswap-lottery path: /tests/test_lotteryv2.py
import pytest
from pancakeswap_lottery import LotteryV2
lottery = LotteryV2()
@pytest.fixture
def ticketid():
return 158408
@pytest.fixture
def lotteryround():
return 10
<|fim_suffix|> r = lottery.prize_pool()
... | code_fim | hard | {
"lang": "python",
"repo": "asmitbhantana/pancakeswap-lottery",
"path": "/tests/test_lotteryv2.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
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