text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_suffix|>mensions[1]*dimensions[2]
totalpaper += 2*(f1+f2+f3)+extra
totalribbon += wraplenght+bow
print(totalpaper)
print(totalribbon)<|fim_prefix|># repo: KoxAlen/adventofcode path: /day02/script.py
#Written for Python 3.4.2
data = [line.rstrip('\n') for line in open("input.txt")]
totalpaper = 0
t... | code_fim | hard | {
"lang": "python",
"repo": "KoxAlen/adventofcode",
"path": "/day02/script.py",
"mode": "spm",
"license": "WTFPL",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cppisgood/FriendRatingRPC path: /service/contest_service.py
from logging import debug
from proto import contest_pb2
from proto import contest_pb2_grpc
from util.data import contest_cache
<|fim_suffix|> data = contest_cache[request.platform].get(request.handle)
return contest_pb2.C... | code_fim | medium | {
"lang": "python",
"repo": "cppisgood/FriendRatingRPC",
"path": "/service/contest_service.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> data = contest_cache[request.platform].get(request.handle)
return contest_pb2.ContestData(
handle = data['handle'],
profile_url = data['profile_url'],
rating = data['rating'],
length = data['length'],
data = data['data']
)... | code_fim | medium | {
"lang": "python",
"repo": "cppisgood/FriendRatingRPC",
"path": "/service/contest_service.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jstasiak/log_temp path: /log_temp.py
#!/usr/bin/python
#-*- coding: utf-8 -*-
import os
import json
import rrdtool
import sys
from errno import EEXIST
from itertools import product
from math import ceil
from os import makedirs, remove
from os.path import abspath, dirname, expanduser, isdir, isf... | code_fim | hard | {
"lang": "python",
"repo": "jstasiak/log_temp",
"path": "/log_temp.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> result = rrdtool.graph(str(graph),
'--imgformat', 'PNG',
'--font', 'DEFAULT:0:/usr/share/fonts/truetype/ttf-dejavu/DejaVuSans.ttf',
'--color', 'BACK#FFFFFFFF',
'--color', 'CANVAS#FFFFFF00',
'--border', '0',
'--width', '775',
'--height', '279',
'--slope-mode',
'--start', str(st... | code_fim | hard | {
"lang": "python",
"repo": "jstasiak/log_temp",
"path": "/log_temp.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> for _ in range(k):
temp_next = p2.next
p2.next = p3
p3 = p2
p2 = temp_next
p1.next = p3
for _ in range(k):
p1 = p1.next
p2 = p1.next
p3 = p1.next
return dum... | code_fim | hard | {
"lang": "python",
"repo": "BigEggStudy/LeetCode-Py",
"path": "/LeetCode/_0001_0050/_025_ReverseNodesInKGroup.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: BigEggStudy/LeetCode-Py path: /LeetCode/_0001_0050/_025_ReverseNodesInKGroup.py
#-----------------------------------------------------------------------------
# Runtime: 48ms
# Memory Usage:
# Link:
#-----------------------------------------------------------------------------
<|fim_suffix|> ... | code_fim | hard | {
"lang": "python",
"repo": "BigEggStudy/LeetCode-Py",
"path": "/LeetCode/_0001_0050/_025_ReverseNodesInKGroup.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> for _ in range(k):
p1 = p1.next
p2 = p1.next
p3 = p1.next
return dummy_head.next<|fim_prefix|># repo: BigEggStudy/LeetCode-Py path: /LeetCode/_0001_0050/_025_ReverseNodesInKGroup.py
#-------------------------------------------------------------... | code_fim | hard | {
"lang": "python",
"repo": "BigEggStudy/LeetCode-Py",
"path": "/LeetCode/_0001_0050/_025_ReverseNodesInKGroup.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: coldmax88/PyGUI path: /GUI/Generic/GButtons.py
#
# Python GUI - Buttons - Generic
#
from GUI.Properties import overridable_property
from GUI.Actions import Action
from GUI import Control
class Button(Control, Action):
""" A pushbutton control."""
<|fim_suffix|> """Highlight the button mom... | code_fim | hard | {
"lang": "python",
"repo": "coldmax88/PyGUI",
"path": "/GUI/Generic/GButtons.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Highlight the button momentarily as though it had been clicked,
without performing the action."""
raise NotImplementedError<|fim_prefix|># repo: coldmax88/PyGUI path: /GUI/Generic/GButtons.py
#
# Python GUI - Buttons - Generic
#
from GUI.Properties import overridable_property
from GUI.Actions... | code_fim | hard | {
"lang": "python",
"repo": "coldmax88/PyGUI",
"path": "/GUI/Generic/GButtons.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mayfield/plexcli path: /plexcli/api.py
"""
Some API handling code.
"""
import requests
import syndicate
import syndicate.data
from syndicate.adapters.sync import HeaderAuth
from syndicate.client import ResponseError
xmldecode = syndicate.data.serializers['xml'].decode
# CRAZY DEBUG XXX
def de... | code_fim | hard | {
"lang": "python",
"repo": "mayfield/plexcli",
"path": "/plexcli/api.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def multi_connect(self, *args, **kwargs):
""" Try connecting with a list of urls. If none work we abort but
return to our original state first. """
uri_save = self.uri
auth_save = self.adapter.auth
try:
self._multi_connect(*args, **kwargs)
e... | code_fim | hard | {
"lang": "python",
"repo": "mayfield/plexcli",
"path": "/plexcli/api.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def signin(self, auth):
signin = requests.post('%s/users/sign_in.xml' % self.api.uri,
auth=auth, headers=self.headers)
signin_xml = xmldecode(signin.content)
if signin.status_code != 201:
errors = [x.text for x in signin_xml.iter('erro... | code_fim | hard | {
"lang": "python",
"repo": "mayfield/plexcli",
"path": "/plexcli/api.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def defaultLocations():
Location.create(name="YogaFlowSouth", longname="Yoga Flow South Hills", address="250 Mount Lebanon Boulevard, Pittsburgh, PA 15234")
Location.create(name="HIP", longname="Himalayan Institute, Pittsburgh", address="300 Beverly Rd, Pittsburgh, PA 15216")
Location.create(n... | code_fim | hard | {
"lang": "python",
"repo": "awynne/scripts",
"path": "/activity/init.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: awynne/scripts path: /activity/init.py
from activitylog import *
from datetime import datetime
from datetime import date
def createDB():
db.create_tables([Person, ActivityType, Activity, MeasurementType, Measurement, Location])
def defaultActivities():
root = ActivityType.create(name="B... | code_fim | hard | {
"lang": "python",
"repo": "awynne/scripts",
"path": "/activity/init.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> adam=Person.select().where(Person.name =="adam")
hiking=ActivityType.select().where(ActivityType.name == "Hiking")
gilfilan=Location.select().where(Location.name == "Gilfilan")
#Activity.create(start=datetime(2016,1,2,10,00,00), end=datetime.now(), person=adam, activityType=hiking, locati... | code_fim | hard | {
"lang": "python",
"repo": "awynne/scripts",
"path": "/activity/init.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: plachta11b/lead2gold path: /src/lead2gold/tools/tool.py
""" Abstract class module for unified
"""
from abc import abstractmethod
from lead2gold.motif.motif import Motif
class Tool():
<|fim_suffix|> Args:
motif: object Motif for
file_path: file where motif would be saved.
Returns:
... | code_fim | hard | {
"lang": "python",
"repo": "plachta11b/lead2gold",
"path": "/src/lead2gold/tools/tool.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> @abstractmethod
def print(self, motif, file_path):
"""Performs motif search.
Args:
motif: object Motif for
file_path: file where motif would be saved.
Returns:
Returns None
"""
return None<|fim_prefix|># repo: plachta11b/lead2gold path: /src/lead2gold/tools/tool.py
""" Abstract cla... | code_fim | hard | {
"lang": "python",
"repo": "plachta11b/lead2gold",
"path": "/src/lead2gold/tools/tool.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if taskmanager.tasks.all().count() >= max_tasks:
print("maximum number of tasks reached")
break
title=fake.text(max_nb_chars=max_task_title, ext_word_list=None)
description=fake.text(max_nb_chars=max_task_description, ext_word_list=None)
expected_date=f... | code_fim | hard | {
"lang": "python",
"repo": "HerlanAssis/simple-project-manager",
"path": "/backend/apps/tasks/management/commands/generate_fake.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: HerlanAssis/simple-project-manager path: /backend/apps/tasks/management/commands/generate_fake.py
from django.core.management.base import BaseCommand, CommandError
from apps.tasks.models import TaskManager, Task
from faker import Factory
import random
class Command(BaseCommand):
help = 'Gener... | code_fim | hard | {
"lang": "python",
"repo": "HerlanAssis/simple-project-manager",
"path": "/backend/apps/tasks/management/commands/generate_fake.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># Search width for finding Auger peaks (typically varies by element)
Si1searchwidth =6
Ssearchwidth =6
Clsearchwidth =6
Csearchwidth =6
Casearchwidth =6
Osearchwidth =6
Fe1searchwidth =6
Fe2searchwidth =6
Fesearchwidth =6
Mgsearchwidth =6
Alsearchwidth =6
Sisearchwidth =8
Nsearchwidth =6
Tis... | code_fim | hard | {
"lang": "python",
"repo": "tkcroat/Augerquant",
"path": "/Params/AESquantparams.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tkcroat/Augerquant path: /Params/AESquantparams.py
'''
AESquantparams needed for Auger quant on smooth-differentiated peaks
This file contains AES peak centers and positions of desired background regions for typical Auger semi-quantitative analyses.
Input ROIs are cut and pasted from the exce... | code_fim | hard | {
"lang": "python",
"repo": "tkcroat/Augerquant",
"path": "/Params/AESquantparams.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: great-expectations/great_expectations path: /contrib/time_series_expectations/time_series_expectations/generator/hourly_time_series_generator.py
from math import ceil
from typing import List, Optional, Tuple
import numpy as np
import pandas as pd
from time_series_expectations.generator.daily_ti... | code_fim | hard | {
"lang": "python",
"repo": "great-expectations/great_expectations",
"path": "/contrib/time_series_expectations/time_series_expectations/generator/hourly_time_series_generator.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> hourly_seasonality_series = (
self._generate_hourly_seasonality(
time_range=time_range,
hourly_seasonality_params=hourly_seasonality_params,
)
* hourly_seasonality
)
hourly_outliers = self._generate_posneg_pareto(... | code_fim | hard | {
"lang": "python",
"repo": "great-expectations/great_expectations",
"path": "/contrib/time_series_expectations/time_series_expectations/generator/hourly_time_series_generator.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> Notes:
* Holiday and outlier effects are generated using a pareto distribution. The alpha parameter controls the shape of the distribution. A higher alpha value will result in more extreme holiday and outlier effects.
* Holidays don't correspond to actual holidays. Instead,... | code_fim | hard | {
"lang": "python",
"repo": "great-expectations/great_expectations",
"path": "/contrib/time_series_expectations/time_series_expectations/generator/hourly_time_series_generator.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> """CartoonganPt Shinkai 引擎子进程
"""
def __init__(self, daemon=True):
super(CartoonganPtShinkaiFuncWorker, self).__init__(daemon)
# 引擎功能函数注册信息
self._func_info_list = [{
"func_group": "__art_cartoon", # 必须在预定义类型中，否则将被拒绝注册
"func_list": [{
... | code_fim | hard | {
"lang": "python",
"repo": "LPX55/FaceMagi",
"path": "/backend/app/app/engine_v1/workers/cartoongan_pt.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> super(CartoonganPtHosodaFuncWorker, self).__init__(daemon)
# 引擎功能函数注册信息
self._func_info_list = [{
"func_group": "__art_cartoon", # 必须在预定义类型中，否则将被拒绝注册
"func_list": [{
"name": "hsd", "vip": 1,
"icon": "/static/ui_data/modules/c... | code_fim | hard | {
"lang": "python",
"repo": "LPX55/FaceMagi",
"path": "/backend/app/app/engine_v1/workers/cartoongan_pt.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: LPX55/FaceMagi path: /backend/app/app/engine_v1/workers/cartoongan_pt.py
# -*- coding: utf-8 -*-
from app.engine_v1 import app_config, logger, image_process_wrap
from app.engine_v1.worker import BaseFuncWorker
from app.engine_v1.ai_modules.cartoongan_pt import adapter as cartoongan_pt_adapter
... | code_fim | hard | {
"lang": "python",
"repo": "LPX55/FaceMagi",
"path": "/backend/app/app/engine_v1/workers/cartoongan_pt.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: microsoft/bonsai-common path: /bonsai_common/simulator_session.py
"""
Simulator session base class for bonsai3 library
"""
__copyright__ = "Copyright 2020, Microsoft Corp."
# pyright: strict
import abc
import logging
import sys
import numpy as np
import signal
import time
from functools import... | code_fim | hard | {
"lang": "python",
"repo": "microsoft/bonsai-common",
"path": "/bonsai_common/simulator_session.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
Runs simulator. Returns false when the simulator should exit.
Example usage:
...
mySim = MySimulator(config)
while mySim.run():
continue
...
returns True if the simulator should continue.
returns Fa... | code_fim | hard | {
"lang": "python",
"repo": "microsoft/bonsai-common",
"path": "/bonsai_common/simulator_session.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> @abc.abstractmethod
def episode_start(self, config: Schema) -> None:
"""Called at the start of each episode. """
raise NotImplementedError("episode_start not implemented.")
@abc.abstractmethod
def episode_step(self, action: Schema) -> None:
"""Called for each step ... | code_fim | hard | {
"lang": "python",
"repo": "microsoft/bonsai-common",
"path": "/bonsai_common/simulator_session.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Try to generate an open connected blob of points in the maze.
Args:
maze: Instance of .maze.Maze.
num_points: Int. Number of connected points to have in the blob.
Returns:
blob_matrix: False or binary matrix of same size as maze. Ones
correspond to ... | code_fim | hard | {
"lang": "python",
"repo": "hokysung/moog.github.io",
"path": "/moog/maze_lib/maze_generators.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Remove dead ends
_remove_dead_ends(maze)
# If maze has no open points, recurse to generate a new one
if np.sum(1 - maze) == 0:
return generate_random_maze_matrix(size, ambient_size=ambient_size)
# Add wall border if necessary
if ambient_size is not None and ambient_... | code_fim | hard | {
"lang": "python",
"repo": "hokysung/moog.github.io",
"path": "/moog/maze_lib/maze_generators.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hokysung/moog.github.io path: /moog/maze_lib/maze_generators.py
"""This file contains functions to randomly generate mazes.
The main function in this file is generate_random_maze_matrix(), which generates
a maze with no dead ends and no open squares.
"""
import numpy as np
# Maximum iteration ... | code_fim | hard | {
"lang": "python",
"repo": "hokysung/moog.github.io",
"path": "/moog/maze_lib/maze_generators.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: interscript/khmer-diacritics path: /python/spell_check_processing.py
'''
Here we train spell checker model which is Seq2Seq model
based on different operations in 2 Levenstein len
'''
from zipfile import ZipFile, ZIP_DEFLATED
from io import BytesIO
import torch
import time
import numpy as np
im... | code_fim | hard | {
"lang": "python",
"repo": "interscript/khmer-diacritics",
"path": "/python/spell_check_processing.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>f = open(args.data_input)
data_input = f.read().split('\n')[:-1]
f.close()
data = []
punct = string.punctuation
for d in data_input:
d = ''.join([c for c in d if not c in punct])
data += d.split()
X = []
y = []
for d in tqdm(data):
cand = list(candidates(d))
X += [d]*len(cand)
y += c... | code_fim | hard | {
"lang": "python",
"repo": "interscript/khmer-diacritics",
"path": "/python/spell_check_processing.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: shaunramsey/FractalExploration path: /Iterations/x2pcwithcomplex.py
# -*- coding: utf-8 -*-
"""
Created on Mon May 21 15:22:39 2018
@author: Ramsey
"""
import numpy as np
import matplotlib.pyplot as plt
# get a bifurcation plot of x^2+c
# start with x = whatever, maybe 0?
def func(... | code_fim | medium | {
"lang": "python",
"repo": "shaunramsey/FractalExploration",
"path": "/Iterations/x2pcwithcomplex.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>#c = 0.4 - 0.325j
c = 0 + 0j
plt.plot([-1,0,1],[0,0,0],c="r")
plt.plot([0,0,0],[-1,0,1],c="r")
# let things settle to a steady state
num_points = 360
for xs in range(num_points):
yp = [ pow(2,0.5)/2 ]
xp = []
x = xs/5 - 1 + 1j*yp[0]
x = -pow(2,0.5)/2 +1j*yp[0]
x = np.cos... | code_fim | medium | {
"lang": "python",
"repo": "shaunramsey/FractalExploration",
"path": "/Iterations/x2pcwithcomplex.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: send2cloud/opencult.com path: /main/migrations/0013_auto_20180131_0105.py
# Generated by Django 2.0.1 on 2018-01-31 01:05
from django.db import migrations, models
class Migration(migrations.Migration):
<|fim_suffix|> operations = [
migrations.AlterField(
model_name='even... | code_fim | medium | {
"lang": "python",
"repo": "send2cloud/opencult.com",
"path": "/main/migrations/0013_auto_20180131_0105.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> dependencies = [
('main', '0012_auto_20180130_1922'),
]
operations = [
migrations.AlterField(
model_name='event',
name='maps_url',
field=models.URLField(blank=True, null=True),
),
migrations.AlterField(
model_name... | code_fim | medium | {
"lang": "python",
"repo": "send2cloud/opencult.com",
"path": "/main/migrations/0013_auto_20180131_0105.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: shelcia/InterviewQuestionPython path: /Patterns/rowNumberInvertedPyramid.py
# Write a code to generate a half pyramid pattern using numbers.
# Sampl<|fim_suffix|>33
# 22
# 1
N = int(input(''))
for index in range(0, N):
for secondIndex in range(0, N-index):
print(N-index, end='')
... | code_fim | medium | {
"lang": "python",
"repo": "shelcia/InterviewQuestionPython",
"path": "/Patterns/rowNumberInvertedPyramid.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>Index in range(0, N-index):
print(N-index, end='')
print('')<|fim_prefix|># repo: shelcia/InterviewQuestionPython path: /Patterns/rowNumberInvertedPyramid.py
# Write a code to generate a half pyramid pattern using numbers.
# Sample Input :
# 5
# Sample Output :
# 5
# Sample Output :
# 55555
#... | code_fim | medium | {
"lang": "python",
"repo": "shelcia/InterviewQuestionPython",
"path": "/Patterns/rowNumberInvertedPyramid.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ibmresilient/resilient-community-apps path: /rc_data_feed/rc_data_feed/util/config.py
# -*- coding: utf-8 -*-
"""Generate a default configuration-file section for rc_data_feed"""
from __future__ import print_function
def config_section_data():
<|fim_suffix|># set to true if attachment data sh... | code_fim | hard | {
"lang": "python",
"repo": "ibmresilient/resilient-community-apps",
"path": "/rc_data_feed/rc_data_feed/util/config.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># feed_data is the default message destination that will be listened to
queue=feed_data
# set to true if attachment data should be part of payload send to plugins
include_attachment_data=false
# if necessary, specify the supported workspace (by label, case sensitive) and the list of feeds associated with... | code_fim | hard | {
"lang": "python",
"repo": "ibmresilient/resilient-community-apps",
"path": "/rc_data_feed/rc_data_feed/util/config.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: njvrzm/git-credential-shell path: /git-credential-shell
#!/usr/bin/env python
import base64
from Crypto.Cipher import AES
import os
import secrets
import shelve
import tempfile
import sys
key_var = 'GIT_SHELL_CREDENTIALS_KEY'
path_var = 'GIT_SHELL_CREDENTIALS_PATH'
iv456 = 'sixteencharacter'
<... | code_fim | medium | {
"lang": "python",
"repo": "njvrzm/git-credential-shell",
"path": "/git-credential-shell",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> padded = crypter().decrypt(encrypted)
return padded.rstrip(b'\0').decode('utf-8')
if __name__ == '__main__':
command = sys.argv[1]
if command not in ('setup', 'get', 'store', 'erase'):
raise ValueError("Unknown command {}".format(command))
if command == 'setup':
pat... | code_fim | hard | {
"lang": "python",
"repo": "njvrzm/git-credential-shell",
"path": "/git-credential-shell",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>class EventFeedback(models.Model):
id = models.IntegerField(db_column='ID', primary_key=True)
rate = models.FloatField(db_column='Rate')
note = models.TextField(db_column='Note')
approved = models.BooleanField(db_column='Approved')
event = models.ForeignKey(
SummitEvent, relat... | code_fim | medium | {
"lang": "python",
"repo": "OpenStackweb/summit-reports-api",
"path": "/reports_api/reports/models/event_feedback.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> event = models.ForeignKey(
SummitEvent, related_name='feedback', db_column='EventID', on_delete=models.CASCADE)
owner = models.ForeignKey(
Member, related_name='feedback', db_column='OwnerID', on_delete=models.CASCADE)
def __str__(self):
return self.id
class Meta... | code_fim | hard | {
"lang": "python",
"repo": "OpenStackweb/summit-reports-api",
"path": "/reports_api/reports/models/event_feedback.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: OpenStackweb/summit-reports-api path: /reports_api/reports/models/event_feedback.py
"""
* Copyright 2019 OpenStack Foundation
* 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 Lic... | code_fim | hard | {
"lang": "python",
"repo": "OpenStackweb/summit-reports-api",
"path": "/reports_api/reports/models/event_feedback.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: joeyism/cloud-storage-tui path: /tests/snapshots/snap_test_filesystem.py
# -*- coding: utf-8 -*-
# snapshottest: v1 - https://goo.gl/zC4yUc
from __future__ import unicode_literals
<|fim_suffix|>snapshots = Snapshot()<|fim_middle|>from snapshottest import GenericRepr, Snapshot
| code_fim | easy | {
"lang": "python",
"repo": "joeyism/cloud-storage-tui",
"path": "/tests/snapshots/snap_test_filesystem.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
snapshots = Snapshot()<|fim_prefix|># repo: joeyism/cloud-storage-tui path: /tests/snapshots/snap_test_filesystem.py
# -*- coding: utf-8 -*-
# snapshottest: v1 - https://goo.gl/zC4yUc
from __future__ import unicode_literals
<|fim_middle|>from snapshottest import GenericRepr, Snapshot
| code_fim | easy | {
"lang": "python",
"repo": "joeyism/cloud-storage-tui",
"path": "/tests/snapshots/snap_test_filesystem.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: chadduffey/Slack-Events-Analysis path: /example/example.py
from slackeventsapi import SlackEventAdapter
from slackclient import SlackClient
import json
import os
import pprint
# Our app's Slack Event Adapter for receiving actions via the Events API
SLACK_VERIFICATION_TOKEN = os.environ["SLACK_VE... | code_fim | hard | {
"lang": "python",
"repo": "chadduffey/Slack-Events-Analysis",
"path": "/example/example.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># Example responder to greetings
# @slack_events_adapter.on("message")
# def handle_message(event_data):
# message = event_data["event"]
# # If the incoming message contains "hi", then respond with a "Hello" message
# if message.get("subtype") is None and "hi" in message.get('text'):
# ... | code_fim | medium | {
"lang": "python",
"repo": "chadduffey/Slack-Events-Analysis",
"path": "/example/example.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> #event = event_data["event"]
#emoji = event["reaction"]
#channel = event["item"]["channel"]
#text = ":%s:" % emoji
#CLIENT.api_call("chat.postMessage", channel=channel, text=event_data)
# Once we have our event listeners configured, we can start the
# Flask server with the default `/e... | code_fim | hard | {
"lang": "python",
"repo": "chadduffey/Slack-Events-Analysis",
"path": "/example/example.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> for character in inputString:
try:
character.encode("ascii")
returnString += character
lastAdded = character
except UnicodeEncodeError:
replaced = unidecode(str(character))
if replaced != '':
returnString += re... | code_fim | hard | {
"lang": "python",
"repo": "r00li/Roli-Tweet-Printer",
"path": "/roliPrinter/TextTools.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: r00li/Roli-Tweet-Printer path: /roliPrinter/TextTools.py
#
# Roli Tweet printer
# Written by Andrej Rolih, www.r00li.com
#
import html
import unicodedata
from unidecode import unidecode
<|fim_suffix|> for character in inputString:
try:
character.encode("ascii")
... | code_fim | hard | {
"lang": "python",
"repo": "r00li/Roli-Tweet-Printer",
"path": "/roliPrinter/TextTools.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return (train_data, train_y), (val_data, val_y), (test_data, test_y)
def transform_tuple(X_train, X_val, X_test, vectorizer:CountVectorizer):
vectorizer.fit(X_train['k_doc'].append(X_train['u_doc']))
train = X_train.apply(vectorizer.transform)
val = X_val.apply(vectorizer.transform)
... | code_fim | hard | {
"lang": "python",
"repo": "dainis-boumber/amamda",
"path": "/baselines/prepare_ml.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dainis-boumber/amamda path: /baselines/prepare_ml.py
from pathlib import Path
import pickle
import logging
import numpy as np
from scipy import sparse
import pandas as pd
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.feature_extraction.text import TfidfVectorizer
impor... | code_fim | hard | {
"lang": "python",
"repo": "dainis-boumber/amamda",
"path": "/baselines/prepare_ml.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mgd020/django-admin-select2 path: /test_app/app/test_model/models.py
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models
<|fim_suffix|> foreign_key = models.ForeignKey('auth.User', null=True, blank=True, related_name='+')
many_to_many = models.Man... | code_fim | easy | {
"lang": "python",
"repo": "mgd020/django-admin-select2",
"path": "/test_app/app/test_model/models.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> foreign_key = models.ForeignKey('auth.User', null=True, blank=True, related_name='+')
many_to_many = models.ManyToManyField('auth.User', blank=True, related_name='+')<|fim_prefix|># repo: mgd020/django-admin-select2 path: /test_app/app/test_model/models.py
# -*- coding: utf-8 -*-
from __future__ ... | code_fim | easy | {
"lang": "python",
"repo": "mgd020/django-admin-select2",
"path": "/test_app/app/test_model/models.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: nextBillyonair/Attention path: /src/utils.py
import torch
from torch.utils.data import DataLoader, TensorDataset
import tensorflow as tf
from sklearn.model_selection import train_test_split
import math
import unicodedata
import re
import matplotlib.pyplot as plt
import matplotlib.ticker as ticker... | code_fim | hard | {
"lang": "python",
"repo": "nextBillyonair/Attention",
"path": "/src/utils.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> loss.backward()
torch.nn.utils.clip_grad_norm_(model.parameters(), clip)
optimizer.step()
epoch_loss += loss.item()
return epoch_loss / len(iterator)
def evaluate(model, iterator, criterion, pad_tok=0):
model.eval()
epoch_loss = 0
with torch.no_grad():
... | code_fim | hard | {
"lang": "python",
"repo": "nextBillyonair/Attention",
"path": "/src/utils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> with torch.no_grad():
for i, (src, tgt) in enumerate(tqdm(iterator, file=sys.stdout)):
# src.shape = (batch_size, src_seq_len)
# tgt.shape = (batch_size, tgt_seq_len)
src_mask = create_padding_mask(src, pad_tok)
src_mask, look_ahead_mask, dec_pad... | code_fim | hard | {
"lang": "python",
"repo": "nextBillyonair/Attention",
"path": "/src/utils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def get_page_doc(self, **kw):
fp = self.encode_filename(**kw)
assert(os.path.isfile(fp))
self.update_cursor(**kw)
text = []
with open(fp, "r") as fl:
r = fl.read()
doc = ET.fromstring(r)
return doc
def get_page_text(self, **kw):
doc = self.get_pa... | code_fim | hard | {
"lang": "python",
"repo": "BL-Labs/poetryhunt",
"path": "/blnewspaper.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: BL-Labs/poetryhunt path: /blnewspaper.py
from xml.etree import ElementTree as ET
import os
from collections import defaultdict
NEWSPAPERS = ["ANJO", "BDPO", "BLMY", "BNER", "BNWL", "BRPT", "CHPN", "CHTR", "CHTT", "CNMR", "CTCR", "CWPR", "DNLN", "DYMR", "ERLN", "EXLN", "FRJO", "GCLN", "GLAD",... | code_fim | hard | {
"lang": "python",
"repo": "BL-Labs/poetryhunt",
"path": "/blnewspaper.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def test_debiasing_unknown_method(test_df_year):
"""Check computing bias weights counting the number of scenarios by scenario name"""
msg = "Unknown method foo for computing bias weights!"
with pytest.raises(ValueError, match=msg):
test_df_year.compute.bias(method="foo", name="bias", a... | code_fim | hard | {
"lang": "python",
"repo": "IAMconsortium/pyam",
"path": "/tests/test_feature_debiasing.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def test_debiasing_unknown_method(test_df_year):
"""Check computing bias weights counting the number of scenarios by scenario name"""
msg = "Unknown method foo for computing bias weights!"
with pytest.raises(ValueError, match=msg):
test_df_year.compute.bias(method="foo", name="bias", ... | code_fim | medium | {
"lang": "python",
"repo": "IAMconsortium/pyam",
"path": "/tests/test_feature_debiasing.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: IAMconsortium/pyam path: /tests/test_feature_debiasing.py
from pyam import IamDataFrame
import pytest
from numpy.testing import assert_array_equal
@pytest.mark.parametrize(
"axis, exp",
(["scenario", [0.5, 0.5, 1]], [["model", "scenario"], [1, 1, 1]]),
)
def test_debiasing_count(test_pd... | code_fim | hard | {
"lang": "python",
"repo": "IAMconsortium/pyam",
"path": "/tests/test_feature_debiasing.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
if __name__ == "__main__":
arg_parser = argparse.ArgumentParser(description="Client controller")
arg_parser.add_argument("-f", "--wait-signal-freq", type=float, default=5,
help="Frequency in seconds after which the WAIT command is send to a connected client.")
args... | code_fim | hard | {
"lang": "python",
"repo": "smartarch/qoscloud",
"path": "/cloud_controller/client_controller/client_controller.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> external_server = start_grpc_server(
servicer=ClientControllerExternal(client_model),
adder=mw_servicers.add_ClientControllerExternalServicer_to_server,
host=CLIENT_CONTROLLER_EXTERNAL_HOST,
port=CLIENT_CONTROLLER_EXTERNAL_PORT,
threads=MAX_CLIENTS
)
tr... | code_fim | hard | {
"lang": "python",
"repo": "smartarch/qoscloud",
"path": "/cloud_controller/client_controller/client_controller.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: smartarch/qoscloud path: /cloud_controller/client_controller/client_controller.py
"""
Client controller module.
Consists of internal and external interfaces to the Client Controller, as well as ClientModel - the data structure
that is shared between these interfaces.
Both interfaces of the Clie... | code_fim | hard | {
"lang": "python",
"repo": "smartarch/qoscloud",
"path": "/cloud_controller/client_controller/client_controller.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mwilliamson/wordbridge path: /tests/openxml/numbering_test.py
from nose.tools import istest, assert_equal
from wordbridge.openxml import numbering
from wordbridge import openxml
@istest
def numbering_instance_is_read_from_num_element_with_abstract_num_base():
numbering_xml = _create_numberi... | code_fim | hard | {
"lang": "python",
"repo": "mwilliamson/wordbridge",
"path": "/tests/openxml/numbering_test.py",
"mode": "psm",
"license": "BSD-2-Clause-Views",
"source": "the-stack-v2"
} |
<|fim_suffix|>_NUMBERING_TEMPLATE = """<?xml version="1.0" ?>
<w:numbering mc:Ignorable="w14 wp14" xmlns:m="http://schemas.openxmlformats.org/officeDocument/2006/math" xmlns:mc="http://schemas.openxmlformats.org/markup-compatibility/2006" xmlns:o="urn:schemas-microsoft-com:office:office" xmlns:r="http://schemas.openxml... | code_fim | medium | {
"lang": "python",
"repo": "mwilliamson/wordbridge",
"path": "/tests/openxml/numbering_test.py",
"mode": "spm",
"license": "BSD-2-Clause-Views",
"source": "the-stack-v2"
} |
<|fim_suffix|> a, b = map(Symbol, 'ab')
assert python( conjugate(a + b*I) ) == '_ _\na - I*b'
assert python( conjugate(exp(a + b*I)) ) == ' _ _\n a - I*b\ne '
def test_python_derivatives():
# Simple
f_1 = Derivative(log(x), x, evaluate=False)
assert python(f_1) == "x = Symbol('x')... | code_fim | hard | {
"lang": "python",
"repo": "sympy/sympy",
"path": "/sympy/printing/tests/test_python.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sympy/sympy path: /sympy/printing/tests/test_python.py
from sympy.core.function import (Derivative, Function)
from sympy.core.numbers import (I, Rational, oo, pi)
from sympy.core.relational import (Eq, Ge, Gt, Le, Lt, Ne)
from sympy.core.symbol import (Symbol, symbols)
from sympy.functions.elemen... | code_fim | hard | {
"lang": "python",
"repo": "sympy/sympy",
"path": "/sympy/printing/tests/test_python.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: saltstack/salt path: /salt/states/influxdb08_user.py
"""
Management of InfluxDB 0.8 users
================================
(compatible with InfluxDB version 0.5-0.8)
.. versionadded:: 2014.7.0
"""
def __virtual__():
"""
Only load if the influxdb08 module is available
"""
if "... | code_fim | hard | {
"lang": "python",
"repo": "saltstack/salt",
"path": "/salt/states/influxdb08_user.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> host
The host to connect to
port
The port to connect to
"""
ret = {"name": name, "changes": {}, "result": True, "comment": ""}
# check if user exists and remove it
if __salt__["influxdb08.user_exists"](name, database, user, password, host, port):
if __opt... | code_fim | hard | {
"lang": "python",
"repo": "saltstack/salt",
"path": "/salt/states/influxdb08_user.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> name
The name of the user to remove
database
The database to remove the user from
user
The user to connect as (must be able to remove the user)
password
The password of the user
host
The host to connect to
port
The port to connec... | code_fim | hard | {
"lang": "python",
"repo": "saltstack/salt",
"path": "/salt/states/influxdb08_user.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> async def delete_legacy_authorizations_id_async(self, auth_id, **kwargs): ...
def get_legacy_authorizations(self, **kwargs): ...
def get_legacy_authorizations_with_http_info(self, **kwargs): ...
async def get_legacy_authorizations_async(self, **kwargs): ...
def get_legacy_authorization... | code_fim | medium | {
"lang": "python",
"repo": "facebook/pyre-check",
"path": "/stubs/typeshed/typeshed/stubs/influxdb-client/influxdb_client/service/legacy_authorizations_service.pyi",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: GreenBankObservatory/nrqz_admin path: /importers/access_prelim_technical/formmaps.py
"""Field mappings for Access Preliminary Technical Data"""
from cases.forms import (
AttachmentImportForm,
PersonImportForm,
PreliminaryCaseImportForm,
PreliminaryFacilityImportForm,
)
from djang... | code_fim | hard | {
"lang": "python",
"repo": "GreenBankObservatory/nrqz_admin",
"path": "/importers/access_prelim_technical/formmaps.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> field_maps = [
OneToOneFieldMap(to_field="name", converter=None, from_field="APPLICANT")
]
form_class = PersonImportForm
form_defaults = {"data_source": ACCESS_PRELIM_TECHNICAL}
class PCaseImportFormMap(FormMap):
field_maps = [
OneToOneFieldMap(
to_field="... | code_fim | hard | {
"lang": "python",
"repo": "GreenBankObservatory/nrqz_admin",
"path": "/importers/access_prelim_technical/formmaps.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>return ()
print("WELCOME LETS PLAY:")
print("R:Rock")
print("P:Paper")
print("S:Scissors")
name = input("What's your choice?\n ")
if(name in l):
game(name)
else:
print("Invalid Choice")<|fim_prefix|># repo: Python-aryan/Hacktoberfest2020 path: /RockPaperScissors.py
from random import *
l=['R','P','S']
... | code_fim | hard | {
"lang": "python",
"repo": "Python-aryan/Hacktoberfest2020",
"path": "/RockPaperScissors.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Python-aryan/Hacktoberfest2020 path: /RockPaperScissors.py
from random import *
l=['R','P','S']
def game(n):
x = randint(1,3)
if (x==1):
k='Rock'
if (x==2):
k='Paper'
if (x==3):
k='Scissors'
if(n==l[0] and (x==3)):
print("You Wi<|fim_suffix|> return ()
if(n==l[0] and x==1) or (... | code_fim | medium | {
"lang": "python",
"repo": "Python-aryan/Hacktoberfest2020",
"path": "/RockPaperScissors.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: taotao/jsonlibconfig path: /jsonlibconfig/lex.py
import ply.lex as lex
_hextoint = False
tokens = (
"COLON",
"EQUAL",
"SEMICOLON",
"COMMA",
"LBRACE",
"RBRACE",
"LPAREN",
"RPAREN",
"LSQUARE",
"RSQUARE",
"COMMENT",
"INTEGER",
"INTEGER64",
"... | code_fim | hard | {
"lang": "python",
"repo": "taotao/jsonlibconfig",
"path": "/jsonlibconfig/lex.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> r'\#.*|\/\/.*'
pass
def t_newline(t):
r'\n+'
t.lexer.lineno += len(t.value)
def t_error(t):
raise TypeError("Unknown text '%s'" % (t.value,))
def hextoint(b=True):
global _hextoint
_hextoint = b
lex.lex(debug=0)<|fim_prefix|># repo: taotao/jsonlibconfig path: /jsonlibc... | code_fim | hard | {
"lang": "python",
"repo": "taotao/jsonlibconfig",
"path": "/jsonlibconfig/lex.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: yshaath/pyzkaccess path: /pyzkaccess/__init__.py
from .aux_input import *
from .common import *
from .ctypes_ import *
from .device<|fim_suffix|>from .reader import *
from .relay import *
from .sdk import *
from .tables import *<|fim_middle|> import *
from .device_data import *
from .door import ... | code_fim | medium | {
"lang": "python",
"repo": "yshaath/pyzkaccess",
"path": "/pyzkaccess/__init__.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>from .reader import *
from .relay import *
from .sdk import *
from .tables import *<|fim_prefix|># repo: yshaath/pyzkaccess path: /pyzkaccess/__init__.py
from .aux_input import *
from .common import *
from .ctypes_ import *
from .device import *
from .device_data import *
from .door import *
from .enums ... | code_fim | medium | {
"lang": "python",
"repo": "yshaath/pyzkaccess",
"path": "/pyzkaccess/__init__.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: s3prl/s3prl path: /s3prl/problem/common/superb_ic.py
"""
The setting of Superb IC
Authors
* Wei-Cheng Tseng 2021
* Leo 2021
* Leo 2022
"""
import logging
import pickle
from pathlib import Path
import pandas as pd
import torch
from omegaconf import MISSING
from torch.utils.data import Dat... | code_fim | hard | {
"lang": "python",
"repo": "s3prl/s3prl",
"path": "/s3prl/problem/common/superb_ic.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> Args:
build_encoder (dict): same in :obj:`default_config`, no argument supported for now
target_dir (str): Save your encoder into this directory
cache_dir (str): If the preprocessing takes too long time, you can save
the temporary files into this... | code_fim | hard | {
"lang": "python",
"repo": "s3prl/s3prl",
"path": "/s3prl/problem/common/superb_ic.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def _build_batch_sampler(
train: dict = None, valid: dict = None, test: dict = None
):
if mode == "train":
return FixedBatchSizeBatchSampler(dataset, **train)
elif mode == "valid":
return FixedBatchSizeBatchSampler(dataset... | code_fim | hard | {
"lang": "python",
"repo": "s3prl/s3prl",
"path": "/s3prl/problem/common/superb_ic.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> set_state(lambda old_state: not old_state)
return state, toggle_state
idom.run(AndGate)<|fim_prefix|># repo: StefanBrand/idom path: /docs/source/examples/simple_and_gate.py
import idom
@idom.component
def AndGate():
input_1, toggle_1 = use_toggle()
input_2, toggle_2 = use_toggle(... | code_fim | medium | {
"lang": "python",
"repo": "StefanBrand/idom",
"path": "/docs/source/examples/simple_and_gate.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> state, set_state = idom.hooks.use_state(False)
def toggle_state():
set_state(lambda old_state: not old_state)
return state, toggle_state
idom.run(AndGate)<|fim_prefix|># repo: StefanBrand/idom path: /docs/source/examples/simple_and_gate.py
import idom
@idom.component
def AndGate... | code_fim | medium | {
"lang": "python",
"repo": "StefanBrand/idom",
"path": "/docs/source/examples/simple_and_gate.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: StefanBrand/idom path: /docs/source/examples/simple_and_gate.py
import idom
@idom.component
def AndGate():
input_1, toggle_1 = use_toggle()
input_2, toggle_2 = use_toggle()
return idom.html.div(
idom.html.input({"type": "checkbox", "onClick": lambda event: toggle_1()}),
... | code_fim | medium | {
"lang": "python",
"repo": "StefanBrand/idom",
"path": "/docs/source/examples/simple_and_gate.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> res = []
self._analyse_word(word, is_case_sensitive, _collect_parses)
return res
def _analyse_word(self, word: str, is_case_sensitive: bool, callback: Callable[[str, int, int, float], None]):
if not is_case_sensitive:
word = word.lower()
self._analy... | code_fim | hard | {
"lang": "python",
"repo": "DanAnastasyev/neuromorphy",
"path": "/neuromorphy/dictionary/dictionary.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: DanAnastasyev/neuromorphy path: /neuromorphy/dictionary/dictionary.py
# -*- coding: utf-8 -*-
import os
from zipfile import ZipFile
from tempfile import TemporaryDirectory
from typing import Tuple, List, Callable, Sequence
import pickle
import dawg
import numpy as np
def _lazy_property(fn):
... | code_fim | hard | {
"lang": "python",
"repo": "DanAnastasyev/neuromorphy",
"path": "/neuromorphy/dictionary/dictionary.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def _collect_parses(word, grammar_val_index, lemmatize_rule_index, freq):
res.append(self._get_parse(word, grammar_val_index, lemmatize_rule_index, freq))
res = []
self._analyse_word(word, is_case_sensitive, _collect_parses)
return res
def _analyse_word(se... | code_fim | hard | {
"lang": "python",
"repo": "DanAnastasyev/neuromorphy",
"path": "/neuromorphy/dictionary/dictionary.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: amberneil/evenarray path: /evenarray/evenarray.py
import math
def evenarray(*args, **kwargs):
if len(args) == 2:
lower = 0
upper = args[0]
length = args[1]
<|fim_suffix|>
if length < 1:
return [lower]
if not include_lower:
length = length + 1
if include_upper:
divider = lengt... | code_fim | hard | {
"lang": "python",
"repo": "amberneil/evenarray",
"path": "/evenarray/evenarray.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
if length < 1:
return [lower]
if not include_lower:
length = length + 1
if include_upper:
divider = length -1 if length > 1 else 1
else:
divider = length
arr = [lower + float(x*(upper-lower))/float(divider) for x in range(length)]
if rounded:
arr = [int(math.floor(n)) for n in arr]
i... | code_fim | medium | {
"lang": "python",
"repo": "amberneil/evenarray",
"path": "/evenarray/evenarray.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
if length < 1:
return [lower]
if not include_lower:
length = length + 1
if include_upper:
divider = length -1 if length > 1 else 1
else:
divider = length
arr = [lower + float(x*(upper-lower))/float(divider) for x in range(length)]
if rounded:
arr = [int(math.floor(n)) for n in arr]
if... | code_fim | hard | {
"lang": "python",
"repo": "amberneil/evenarray",
"path": "/evenarray/evenarray.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: winfred958/athena-operation path: /athena-operation/connector/connector.py
# encoding: utf-8
import boto3
from config import auth_config
from config import config
class AthenaConnector(object):
"""
"""
def __init__(self):
self.region_name = config.region_name
se... | code_fim | hard | {
"lang": "python",
"repo": "winfred958/athena-operation",
"path": "/athena-operation/connector/connector.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
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