text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_prefix|># repo: StingSting/2048-api path: /game2048/agents.py
import numpy as np
import torch
import torch.nn as nn
import torch.utils.data as data
CHANNEL=12
def grid_ohe(input):
out=[]
each_c=[]
for i in range(CHANNEL):
ret=np.zeros(shape=(4,4),dtype=int)
for r in range(4):
... | code_fim | hard | {
"lang": "python",
"repo": "StingSting/2048-api",
"path": "/game2048/agents.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> x_col = st.selectbox("Select x axis for bar chart", mana.columns)
xcol_string=x_col+":O"
if st.checkbox("Show as continuous?",key="bar_chart_x_is_cont"):
xcol_string=x_col+":Q"
y_col = st.selectbox("Select y axis for bar chart", mana.columns)
z_col = st.selectbox("Select ... | code_fim | medium | {
"lang": "python",
"repo": "banjtheman/grimoire",
"path": "/grim/spells/nature/bar_chart.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: banjtheman/grimoire path: /grim/spells/nature/bar_chart.py
import pandas as pd
import numpy as np
import altair as alt
import streamlit as st
import sys, argparse, logging
import json
<|fim_suffix|> x_col = st.selectbox("Select x axis for bar chart", mana.columns)
xcol_string=x_col+":O"
... | code_fim | medium | {
"lang": "python",
"repo": "banjtheman/grimoire",
"path": "/grim/spells/nature/bar_chart.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tjsullivan1/tjs.python.sdk path: /utilities/general.py
import logging, os, json, csv
def main():
return None
def init_logging(log_file='log_filename.txt'):
logger = logging.getLogger()
logger.setLevel(logging.DEBUG)
formatter = logging.Formatter('%(asctime)s - %(levelname)s -... | code_fim | hard | {
"lang": "python",
"repo": "tjsullivan1/tjs.python.sdk",
"path": "/utilities/general.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def write_to_csv(usage_detail_dict, csv_file, header):
preexist = os.path.exists(csv_file)
with open(csv_file, "a", newline='') as file:
writer = csv.DictWriter(file, fieldnames=header)
if not preexist:
writer.writeheader()
writer.writerow(usage_detail_dict)
... | code_fim | hard | {
"lang": "python",
"repo": "tjsullivan1/tjs.python.sdk",
"path": "/utilities/general.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> preexist = os.path.exists(csv_file)
with open(csv_file, "a", newline='') as file:
writer = csv.DictWriter(file, fieldnames=header)
if not preexist:
writer.writeheader()
writer.writerow(usage_detail_dict)
return None
if __name__ == '__main__':
main()<... | code_fim | hard | {
"lang": "python",
"repo": "tjsullivan1/tjs.python.sdk",
"path": "/utilities/general.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def is_label_definition(line):
"""Returns if the line is a LABEL node."""
return line.startswith("LABEL ")<|fim_prefix|># repo: RDIL/dockerlint path: /dockerlint/parser.py
def is_base_image_definition(line):
"""Returns if the line is a FROM node."""
<|fim_middle|> return line.startswith... | code_fim | easy | {
"lang": "python",
"repo": "RDIL/dockerlint",
"path": "/dockerlint/parser.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Returns if the line is a LABEL node."""
return line.startswith("LABEL ")<|fim_prefix|># repo: RDIL/dockerlint path: /dockerlint/parser.py
def is_base_image_definition(line):
<|fim_middle|> """Returns if the line is a FROM node."""
return line.startswith("FROM ")
def is_label_definit... | code_fim | medium | {
"lang": "python",
"repo": "RDIL/dockerlint",
"path": "/dockerlint/parser.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: RDIL/dockerlint path: /dockerlint/parser.py
def is_base_image_definition(line):
"""Returns if the line is a FROM node."""
return line.startswith("FROM ")
<|fim_suffix|> """Returns if the line is a LABEL node."""
return line.startswith("LABEL ")<|fim_middle|>def is_label_definit... | code_fim | easy | {
"lang": "python",
"repo": "RDIL/dockerlint",
"path": "/dockerlint/parser.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: rshk/CliApp path: /cliapp/__init__.py
"""
Helpers to create CLI applications.
The "standard" application accepts a bunch of options,
followed by a command that can accept options + arguments.
Example invokation::
myapp.py --dir=/tmp/hello --async create --force --title="Yeah!" Hello
Getti... | code_fim | hard | {
"lang": "python",
"repo": "rshk/CliApp",
"path": "/cliapp/__init__.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.old_completer = readline.get_completer()
readline.set_completer(new_completer)
def __exit__(self, exc_type, exc_val, exc_tb):
readline.set_completer(self.old_completer)
return CustomCompleter()
def run_interactive(self):
... | code_fim | hard | {
"lang": "python",
"repo": "rshk/CliApp",
"path": "/cliapp/__init__.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>00)
i, j, k = int(val/100), int(val/10)%10, val%10
if opcode in ops:
mode = [k, j, i]
mode_index = 0
inputs = []
for input_n in range(1, ops[opcode]['in']+1):
a = nums[pc+input_n]
if mode[mode_index] == 0:
... | code_fim | hard | {
"lang": "python",
"repo": "lamperi/aoc",
"path": "/2019/09/solve.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lamperi/aoc path: /2019/09/solve.py
with open("input.txt") as f:
data = f.read().strip()
n = [int(a) for a in data.split(",")]
from collections import defaultdict
def run(nums, INPUT):
ops = {
1: {
'in': 2,
'out': 1,
'op': lambda a, b: a+b,
... | code_fim | hard | {
"lang": "python",
"repo": "lamperi/aoc",
"path": "/2019/09/solve.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: smilesLzw/SomeIntersting path: /filedownload.py
# _*_ coding: utf-8 _*_
# @Author: smiles
# @Time : 2020/9/16 9:42
# @File : filedownload.py
import os
import queue
import logging
import threading
import requests
from fake_useragent import UserAgent
# 日志配置
logging.basicConfig(le... | code_fim | hard | {
"lang": "python",
"repo": "smilesLzw/SomeIntersting",
"path": "/filedownload.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> while 1:
url = self.q.get()
print(f'{self.name} begin download {url}')
self.download_file(url)
self.q.task_done()
print(f'{self.name} download completed')
def download_file(self, url):
ua = UserAgent()
header... | code_fim | hard | {
"lang": "python",
"repo": "smilesLzw/SomeIntersting",
"path": "/filedownload.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: team-c3250-noname/Dork path: /tests/test_dork_cli.py
ey',
'use key', 'north', 'move north',
'punch',
'checkscore', 'quit'])
run(dork.cli.main, input_values=['play', '... | code_fim | hard | {
"lang": "python",
"repo": "team-c3250-noname/Dork",
"path": "/tests/test_dork_cli.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def test_pre_cli_init(run):
"""init should load given file or print not found message
"""
out, err = run(dork.cli.the_predork_cli, [], *("", "-i", "test"))
assert "test" in out, \
"Failed run the dork.cli.the_predork_cli method: {err}"\
.format(err=err)
out, err = run(d... | code_fim | hard | {
"lang": "python",
"repo": "team-c3250-noname/Dork",
"path": "/tests/test_dork_cli.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def test_fight(run):
"""This will test the fight function
"""
with open('./dork/yaml/default.yml') as file:
# Should not call load directly
data = yaml.safe_load(file.read())
game = types.Game(data)
game.player.position['location'] = 'Jail hallway'
damage = 2
ou... | code_fim | hard | {
"lang": "python",
"repo": "team-c3250-noname/Dork",
"path": "/tests/test_dork_cli.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def test_partial_channel_non_square_matrix_2():
"""Matrix must be square with sys arg."""
with np.testing.assert_raises(ValueError):
rho = np.array([[1, 2, 3, 4], [2, 2, 2, 2], [12, 11, 10, 9]])
partial_channel(rho, depolarizing(3), 2)
def test_partial_channel_invalid_dim():
... | code_fim | hard | {
"lang": "python",
"repo": "vprusso/toqito",
"path": "/tests/test_channel_ops/test_partial_channel.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: vprusso/toqito path: /tests/test_channel_ops/test_partial_channel.py
"""Tests for partial_channel."""
import numpy as np
import pytest
from toqito.channel_ops import partial_channel
from toqito.channels import depolarizing
from toqito.matrices import pauli
def test_partial_channel_depolarizing... | code_fim | hard | {
"lang": "python",
"repo": "vprusso/toqito",
"path": "/tests/test_channel_ops/test_partial_channel.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
@blog_blueprint.errorhandler(404)
@cache.cached(timeout=app.config.get('CACHE_TIMEOUT'), key_prefix='blog_blueprint.errorhandler')
def blog_page_not_found(e):
return render_template('blog/404.html'), 404<|fim_prefix|># repo: AndrewNeudegg/CIMC path: /CIMC/routes/blog/views.py
from flask import rende... | code_fim | medium | {
"lang": "python",
"repo": "AndrewNeudegg/CIMC",
"path": "/CIMC/routes/blog/views.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>@blog_blueprint.errorhandler(404)
@cache.cached(timeout=app.config.get('CACHE_TIMEOUT'), key_prefix='blog_blueprint.errorhandler')
def blog_page_not_found(e):
return render_template('blog/404.html'), 404<|fim_prefix|># repo: AndrewNeudegg/CIMC path: /CIMC/routes/blog/views.py
from flask import render... | code_fim | hard | {
"lang": "python",
"repo": "AndrewNeudegg/CIMC",
"path": "/CIMC/routes/blog/views.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: AndrewNeudegg/CIMC path: /CIMC/routes/blog/views.py
from flask import render_template, abort
from jinja2 import TemplateNotFound
from ...cache import cache
from ... import app
from . import blog_blueprint
<|fim_suffix|>
@blog_blueprint.errorhandler(404)
@cache.cached(timeout=app.config.get('CAC... | code_fim | hard | {
"lang": "python",
"repo": "AndrewNeudegg/CIMC",
"path": "/CIMC/routes/blog/views.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: htryppcook/data_salmon path: /data_salmon/dataset_writer/csv_dataset_writer.py
class CsvDatasetWriter:
def __init__(self, dataset, records, output_encoding):
<|fim_suffix|> output_stream.write((self.header + "\n").encode(self.output_encoding))
for _, evaluated in zip(range(0, ... | code_fim | medium | {
"lang": "python",
"repo": "htryppcook/data_salmon",
"path": "/data_salmon/dataset_writer/csv_dataset_writer.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def write(self, output_stream, count):
output_stream.write((self.header + "\n").encode(self.output_encoding))
for _, evaluated in zip(range(0, int(count)), self.records):
output_stream.write(
(','.join(evaluated) + "\n").encode(self.output_encoding))<|fim_pr... | code_fim | medium | {
"lang": "python",
"repo": "htryppcook/data_salmon",
"path": "/data_salmon/dataset_writer/csv_dataset_writer.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> print('O jogador Venceu!')
cont += 1
else:
print('O computador Venceu!')
break
print('Vamos de novo...')
print(f'O jogador ganhou {cont} vezes.')<|fim_prefix|># repo: MatheusFilipe21/exercicios-python-3 path: /exercicio68.py
from random import randi... | code_fim | hard | {
"lang": "python",
"repo": "MatheusFilipe21/exercicios-python-3",
"path": "/exercicio68.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MatheusFilipe21/exercicios-python-3 path: /exercicio68.py
from random import randint
cont = 0
while True:
n = int(input('Digite um número: '))
ncomputador = randint(0, 10)
total = n + ncomputador
op = ' '
while op not in 'PI':
<|fim_suffix|>
print('O jo... | code_fim | hard | {
"lang": "python",
"repo": "MatheusFilipe21/exercicios-python-3",
"path": "/exercicio68.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> paragraph_details = {
'type': 'Paragraph',
'style': p.style.name,
'style_ok': style_ok,
'text': text
}
paragraph_details.update(detail)
paragraphs.append(paragraph_details)
return paragraph... | code_fim | hard | {
"lang": "python",
"repo": "developingAlex/jacow-validator",
"path": "/src/jacowvalidator/docutils/paragraph.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: developingAlex/jacow-validator path: /src/jacowvalidator/docutils/paragraph.py
import re
from jacowvalidator.docutils.styles import check_style
from jacowvalidator.docutils.heading import HEADING_DETAILS
PARAGRAPH_DETAILS = {
'styles': {
'jacow': 'JACoW_Body Text Indent',
'no... | code_fim | hard | {
"lang": "python",
"repo": "developingAlex/jacow-validator",
"path": "/src/jacowvalidator/docutils/paragraph.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> if dots_R.dir != current_R_dir:
dots_R_vel = dots_R_velocity(dots_R.dir)
# print(dots.dir, ': ', dots_vel)
current_R_dir = dots_R.dir
if dots_L.dir != current_L_dir:
dots_L_vel = dots_L_velocity(dots_L.dir)
# print(dots.dir, ': ', dots_vel)
... | code_fim | hard | {
"lang": "python",
"repo": "jLenouvel/muspinB-py",
"path": "/plaid_and_dots_Juliette_Juin_2021.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jLenouvel/muspinB-py path: /plaid_and_dots_Juliette_Juin_2021.py
#%%
from psychopy import visual, clock
from psychopy.iohub import client
import percepts
import utils
import stims
import expsetup
import numpy as np
# setting up the plaids
init = utils.load_init('./config/init.yaml') ... | code_fim | hard | {
"lang": "python",
"repo": "jLenouvel/muspinB-py",
"path": "/plaid_and_dots_Juliette_Juin_2021.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>
dots.speed = dots_vel * (new_time - old_time) # speed in °/frame
plaid.phase += velocity(vel_ori) * (new_time - old_time)
win.flip()'''
while trial_timer.getTime()>0:
old_time = new_time
new_time = trial_timer.getTime()
if new_time <20:#10
Condition = 'Amb'
... | code_fim | hard | {
"lang": "python",
"repo": "jLenouvel/muspinB-py",
"path": "/plaid_and_dots_Juliette_Juin_2021.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def do_build(self, attributes):
return build_load_balancer_target(attributes)
def get_service_name(self) -> AwsServiceName:
return AwsServiceName.AWS_LOAD_BALANCER_TARGET_GROUP_ATTACHMENT<|fim_prefix|># repo: cbc506/cloudrail-knowledge path: /cloudrail/knowledge/context/aws/reso... | code_fim | hard | {
"lang": "python",
"repo": "cbc506/cloudrail-knowledge",
"path": "/cloudrail/knowledge/context/aws/resources_builders/terraform/load_balancer_builder.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cbc506/cloudrail-knowledge path: /cloudrail/knowledge/context/aws/resources_builders/terraform/load_balancer_builder.py
from cloudrail.knowledge.context.aws.resources_builders.terraform.aws_terraform_builder import AwsTerraformBuilder
from cloudrail.knowledge.context.aws.resources_builders.terraf... | code_fim | medium | {
"lang": "python",
"repo": "cbc506/cloudrail-knowledge",
"path": "/cloudrail/knowledge/context/aws/resources_builders/terraform/load_balancer_builder.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>class LoadBalancerTargetGroupAssociationBuilder(AwsTerraformBuilder):
def do_build(self, attributes):
return build_load_balancer_target_group_association(attributes)
def get_service_name(self) -> AwsServiceName:
return AwsServiceName.AWS_LOAD_BALANCER_LISTENER
class LoadBalance... | code_fim | hard | {
"lang": "python",
"repo": "cbc506/cloudrail-knowledge",
"path": "/cloudrail/knowledge/context/aws/resources_builders/terraform/load_balancer_builder.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: roholazandie/ParlAI path: /parlai/agents/programr/parser/template/nodes/learn.py
import xml.etree.ElementTree as ET
from parlai.agents.programr.parser.exceptions import ParserException
from parlai.agents.programr.parser.template.nodes.base import TemplateNode
from parlai.agents.programr.parser.t... | code_fim | hard | {
"lang": "python",
"repo": "roholazandie/ParlAI",
"path": "/parlai/agents/programr/parser/template/nodes/learn.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> xml = ""
for category in self.children:
xml += "<category>"
xml += ET.tostring(category.pattern, 'utf-8').decode('utf-8')
xml += ET.tostring(category.topic, 'utf-8').decode('utf-8')
xml += ET.tostring(category.that, 'utf-8').decode('utf-8')
... | code_fim | hard | {
"lang": "python",
"repo": "roholazandie/ParlAI",
"path": "/parlai/agents/programr/parser/template/nodes/learn.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>if __name__ == "__main__":
startNode = input()
endNode = input()
findSimilarity(startNode, endNode)<|fim_prefix|># repo: prashik-s/alexaConnectTheDots path: /similarity.py
import wikipedia
from connect import giveContent
def findSimilarity(fromNode, toNode):
<|fim_middle|> ''' Decide the order of sim... | code_fim | hard | {
"lang": "python",
"repo": "prashik-s/alexaConnectTheDots",
"path": "/similarity.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: prashik-s/alexaConnectTheDots path: /similarity.py
import wikipedia
from connect import giveContent
def findSimilarity(fromNode, toNode):
<|fim_suffix|>if __name__ == "__main__":
startNode = input()
endNode = input()
findSimilarity(startNode, endNode)<|fim_middle|> ''' Decide the order of sim... | code_fim | hard | {
"lang": "python",
"repo": "prashik-s/alexaConnectTheDots",
"path": "/similarity.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: NMGRL/pychron path: /pychron/pipeline/tasks/panes.py
bj)
def enable(self, info, obj):
self._toggle_enable(info, obj, True)
def disable(self, info, obj):
self._toggle_enable(info, obj, False)
def enable_permanent(self, info, obj):
self._toggle_permanent(info,... | code_fim | hard | {
"lang": "python",
"repo": "NMGRL/pychron",
"path": "/pychron/pipeline/tasks/panes.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def unknowns_toggle_status(self, info, obj):
obj = info.ui.context["object"]
obj.unknowns_toggle_status()
def save_analysis_group(self, info, obj):
obj = info.ui.context["object"]
obj.save_analysis_group()
def play_analysis_video(self, info, obj):
obj ... | code_fim | hard | {
"lang": "python",
"repo": "NMGRL/pychron",
"path": "/pychron/pipeline/tasks/panes.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> obj = info.ui.context["object"]
obj.recall_references()
def configure_unknowns(self, info, obj):
pane = info.ui.context["pane"]
pane.configure_unknowns()
def configure_references(self, info, obj):
pane = info.ui.context["pane"]
pane.configure_refer... | code_fim | hard | {
"lang": "python",
"repo": "NMGRL/pychron",
"path": "/pychron/pipeline/tasks/panes.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jinpz/tools path: /covid19-dashboard/helper_functions.py
# Copyright 2020 Google LLC
#
# 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
#
# https://www.apache.org/lice... | code_fim | medium | {
"lang": "python",
"repo": "jinpz/tools",
"path": "/covid19-dashboard/helper_functions.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> if len(state):
prev_to_new[name] = state.iloc[0]['state_name']
elif len(county):
prev_to_new[name] = " ".join(county.iloc[0]['county_name'].split()[:-1]) + ', ' + county.iloc[0]['state_name']
else:
continue
return series.rename(prev_to_new)<... | code_fim | hard | {
"lang": "python",
"repo": "jinpz/tools",
"path": "/covid19-dashboard/helper_functions.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: thanhkaist/homura path: /test/test_vision/test_data/test_loaders.py
from pathlib import Path
import pytest
from torchvision import transforms
from homura.vision import mnist_loaders, cifar10_loaders
<|fim_suffix|> for data in ret[0]:
data
break
@pytest.mark.skipif(not Path... | code_fim | hard | {
"lang": "python",
"repo": "thanhkaist/homura",
"path": "/test/test_vision/test_data/test_loaders.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> for data in ret[0]:
data
break
@pytest.mark.skipif(not Path("~/.torch/data/cifar10").expanduser().exists(), reason="To avoid downloading")
@pytest.mark.parametrize("val_size", [0, 1000])
def test_cifar10_loaders(val_size):
data_augmentation = [transforms.RandomCrop(32, padding=4)... | code_fim | hard | {
"lang": "python",
"repo": "thanhkaist/homura",
"path": "/test/test_vision/test_data/test_loaders.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: rosspeckomplekt/interpersonal path: /interpersonal/classes/trait.py
"""
A Trait is a type of behavior that a Person displays
"""
from .trait_dao import TraitDao
class Trait(object):
"""
A Trait is a type of behavior that a Person displays
"""
def __init__(self, name):
... | code_fim | medium | {
"lang": "python",
"repo": "rosspeckomplekt/interpersonal",
"path": "/interpersonal/classes/trait.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
Get the dominance value of the Trait
"""
trait = self.traitDao.get_dominance(self.name)
dominance = trait[1]
return dominance<|fim_prefix|># repo: rosspeckomplekt/interpersonal path: /interpersonal/classes/trait.py
"""
A Trait is a type of behavior that... | code_fim | hard | {
"lang": "python",
"repo": "rosspeckomplekt/interpersonal",
"path": "/interpersonal/classes/trait.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
Get the friendliness value of the Trait
"""
trait = self.traitDao.get_friendliness(self.name)
friendliness = trait[1]
return friendliness
def get_dominance(self):
"""
Get the dominance value of the Trait
"""
trait = s... | code_fim | hard | {
"lang": "python",
"repo": "rosspeckomplekt/interpersonal",
"path": "/interpersonal/classes/trait.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: josecriane/MES_srv path: /api/views/user.py
from django.contrib.auth.models import User
from rest_framework import viewsets
<|fim_suffix|> """
This viewset automatically provides `list` and `detail` actions.
"""
queryset = User.objects.all()
serializer_class = UserSerializer<... | code_fim | medium | {
"lang": "python",
"repo": "josecriane/MES_srv",
"path": "/api/views/user.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
This viewset automatically provides `list` and `detail` actions.
"""
queryset = User.objects.all()
serializer_class = UserSerializer<|fim_prefix|># repo: josecriane/MES_srv path: /api/views/user.py
from django.contrib.auth.models import User
from rest_framework import viewsets
f... | code_fim | easy | {
"lang": "python",
"repo": "josecriane/MES_srv",
"path": "/api/views/user.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: qyz-thu/gnn_vae path: /tensorkit/layers/split_.py
from typing import *
from ..tensor import Tensor, Module
from .core import *
__all__ = ['Branch']
class Branch(BaseLayer):
"""
A module that maps the input tensor into multiple tensors via sub-modules.
::
shared_output = ... | code_fim | medium | {
"lang": "python",
"repo": "qyz-thu/gnn_vae",
"path": "/tensorkit/layers/split_.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __init__(self,
branches: Sequence[Module],
shared: Optional[Module] = None):
"""
Construct a enw :class:`Branch` module.
Args:
branches: The branch sub-modules.
shared: The shared module to apply before the branch s... | code_fim | medium | {
"lang": "python",
"repo": "qyz-thu/gnn_vae",
"path": "/tensorkit/layers/split_.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> Constants.State.Building: [(0, 320, True), (32, 320, True), (64, 320, True), (96, 320, True),
(128, 320, True)],
Constants.State.Harvesting: [(0, 320, True), (32, 320, True), (64, 320, True), (96, 320, True)],
... | code_fim | hard | {
"lang": "python",
"repo": "cair/deep-rts",
"path": "/DeepRTS/python/gui.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cair/deep-rts path: /DeepRTS/python/gui.py
bar_width = size
for h in range(0, 101):
health_bar_surface = pygame.Surface((bar_width, bar_height), flags=SURFTYPE).convert_alpha()
rect_green = pygame.Rect((0, 0, h, bar_height)) # Green
... | code_fim | hard | {
"lang": "python",
"repo": "cair/deep-rts",
"path": "/DeepRTS/python/gui.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> for key, value in submods.items():
# Add path separator to end of submodule path to ensure we are matching a directory
if path.lstrip('/').startswith(os.path.join(key, '')):
return value.url.replace('.git', ''), value.rev, re.sub('^/{}/'.form... | code_fim | hard | {
"lang": "python",
"repo": "espressif/esp-afr-sdk",
"path": "/docs/idf_extensions/link_roles.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: espressif/esp-afr-sdk path: /docs/idf_extensions/link_roles.py
# based on http://protips.readthedocs.io/link-roles.html
from __future__ import print_function
from __future__ import unicode_literals
import re
import os
import subprocess
from docutils import nodes
from collections import namedtupl... | code_fim | hard | {
"lang": "python",
"repo": "espressif/esp-afr-sdk",
"path": "/docs/idf_extensions/link_roles.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|># INTERNAL_IPS = ('127.0.0.1', '10.0.2.2',)
# DEBUG_TOOLBAR_CONFIG = {
# 'DISABLE_PANELS': [
# 'debug_toolbar.panels.redirects.RedirectsPanel',
# ],
# 'SHOW_TEMPLATE_CONTEXT': True,
# }
# # end django-debug-toolbar
# DATABASE CONFIGURATION
# See: https://docs.djangoproject.com/en/dev... | code_fim | hard | {
"lang": "python",
"repo": "nrsimha/tovp",
"path": "/tovp/tovp/settings/local.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># DEBUG_TOOLBAR_CONFIG = {
# 'DISABLE_PANELS': [
# 'debug_toolbar.panels.redirects.RedirectsPanel',
# ],
# 'SHOW_TEMPLATE_CONTEXT': True,
# }
# # end django-debug-toolbar
# DATABASE CONFIGURATION
# See: https://docs.djangoproject.com/en/dev/ref/settings/#databases
# DATABASES = {
# ... | code_fim | hard | {
"lang": "python",
"repo": "nrsimha/tovp",
"path": "/tovp/tovp/settings/local.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: nrsimha/tovp path: /tovp/tovp/settings/local.py
# -*- coding: utf-8 -*-
'''
Local Configurations
- Runs in Debug mode
- Uses console backend for emails
- Use Django Debug Toolbar
'''
import os
from os.path import join
<|fim_suffix|># INTERNAL_IPS = ('127.0.0.1', '10.0.2.2',)
# DEBUG_TOOLBAR_CO... | code_fim | hard | {
"lang": "python",
"repo": "nrsimha/tovp",
"path": "/tovp/tovp/settings/local.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: rafa-santana/Curso-Python path: /Aula 08/ex20.py
import random
a1 = input ('Digite o nome do 1º aluno: ')
a2 = input ('Digite o nome do 2º aluno: ')
a3 = input ('Digite o nome do 3º aluno: ')
a4 = <|fim_suffix|>4], k=4)
print('A ordem de apresentação sorteada foi: {}'.format(sorteio))<|fim_middle... | code_fim | medium | {
"lang": "python",
"repo": "rafa-santana/Curso-Python",
"path": "/Aula 08/ex20.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>input ('Digite o nome do 4º aluno: ')
sorteio = random.sample ([a1,a2,a3,a4], k=4)
print('A ordem de apresentação sorteada foi: {}'.format(sorteio))<|fim_prefix|># repo: rafa-santana/Curso-Python path: /Aula 08/ex20.py
import random
a1 = input ('Digite o nome do 1º aluno: ')
a2 = input ('Digi<|fim_middle... | code_fim | medium | {
"lang": "python",
"repo": "rafa-santana/Curso-Python",
"path": "/Aula 08/ex20.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: openstack/ironic-inspector path: /ironic_inspector/process.py
# 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless... | code_fim | hard | {
"lang": "python",
"repo": "openstack/ironic-inspector",
"path": "/ironic_inspector/process.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> node_info.finished(istate.Events.finish)
LOG.info('Introspection finished successfully',
node_info=node_info, data=introspection_data)
def reapply(node_uuid, data=None):
"""Re-apply introspection steps.
Re-apply preprocessing, postprocessing and introspection rules on
s... | code_fim | hard | {
"lang": "python",
"repo": "openstack/ironic-inspector",
"path": "/ironic_inspector/process.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> try:
store_introspection_data(node_uuid, data, processed=False)
except Exception:
LOG.exception('Encountered exception saving unprocessed '
'introspection data for node %s', node_uuid, data=data)
def get_introspection_data(uuid, processed=True, get_json=Fals... | code_fim | hard | {
"lang": "python",
"repo": "openstack/ironic-inspector",
"path": "/ironic_inspector/process.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: thkm/LearningApacheSpark path: /doc/code/test_pyspark.py
## set up SparkSession
from pyspark.sql import SparkSession
<|fim_suffix|>df = spark.read.format('com.databricks.spark.csv').\
options(header='true', \
inferschema='true').\
... | code_fim | medium | {
"lang": "python",
"repo": "thkm/LearningApacheSpark",
"path": "/doc/code/test_pyspark.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>df = spark.read.format('com.databricks.spark.csv').\
options(header='true', \
inferschema='true').\
load("/home/feng/Spark/Code/data/Advertising.csv",header=True)
df.show(5)
df.printSchema()<|fim_prefix|># repo: thkm/Learn... | code_fim | medium | {
"lang": "python",
"repo": "thkm/LearningApacheSpark",
"path": "/doc/code/test_pyspark.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.udp_socket.close()
def query_word(self):
while True:
# 接收 发送消息 data-->bytes
word, addr = self.udp_socket.recvfrom(1024)
# 查询到单词解释
mean = self.db.find_word(word.decode())
self.udp_socket.sendto(mean.encode(), addr)
if __... | code_fim | hard | {
"lang": "python",
"repo": "chaofan-zheng/tedu-python-demo",
"path": "/month02/day10/exercise01_server.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: chaofan-zheng/tedu-python-demo path: /month02/day10/exercise01_server.py
"""
练习2. 基于udp循环收发程序完成
在客户端输入单词，从服务端那里得到单词解释
并打印出来，要求多个客户端可以一起查询
服务端，利用数据库dict->words表 帮助
客户端完成单词查询，将解释发送给客户端
"""
from socket import *
import pymysql
# 用于数据库的交互
class Database:
database_args = {
"host": "loca... | code_fim | hard | {
"lang": "python",
"repo": "chaofan-zheng/tedu-python-demo",
"path": "/month02/day10/exercise01_server.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pulumi/pulumi path: /sdk/python/lib/test/test_translate_output_properties.py
...
@pulumi.output_type
class InvalidTypeDeclaredSequenceStr(dict):
def __init__(self, value: Sequence[str]):
pulumi.set(self, "value", value)
@property
@pulumi.getter
def value(self) -> Se... | code_fim | hard | {
"lang": "python",
"repo": "pulumi/pulumi",
"path": "/sdk/python/lib/test/test_translate_output_properties.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class TranslateOutputPropertiesTests(unittest.TestCase):
def test_str_enum(self):
result = rpc.translate_output_properties("red", translate_output_property, ContainerColor)
self.assertIsInstance(result, ContainerColor)
self.assertIsInstance(result, Enum)
self.assertEqu... | code_fim | hard | {
"lang": "python",
"repo": "pulumi/pulumi",
"path": "/sdk/python/lib/test/test_translate_output_properties.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> (InvalidTypeDictStr, {"foo": dict_value}),
(InvalidTypeDeclaredDictStr, {"foo": dict_value}),
(InvalidTypeOptionalDictStr, {"foo": dict_value}),
(InvalidTypeDeclaredOptionalDictStr, {"foo": dict_value}),
(InvalidTypeDictOptionalStr, {"foo": dict_... | code_fim | hard | {
"lang": "python",
"repo": "pulumi/pulumi",
"path": "/sdk/python/lib/test/test_translate_output_properties.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
DEFAULT_TRACKER_POSITIONS = [
('tracker-head-top', 'Head - near top'),
('tracker-head-bottom', 'Head - near bottom'),
('tracker-body-top', 'Body - near top'),
('tracker-body-bottom', 'Body - near bottom')
]
def get_tracker_position_options():
"""
This creates the dropdown in the... | code_fim | hard | {
"lang": "python",
"repo": "WGBH/django-tracking",
"path": "/tracking/utils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: WGBH/django-tracking path: /tracking/utils.py
from datetime import datetime
from django.conf import settings
import pytz
def check_tracker(obj, simple=True):
if simple:
if obj.status > 0:
return True
return False
# we have a gatekeeper
now = datet... | code_fim | hard | {
"lang": "python",
"repo": "WGBH/django-tracking",
"path": "/tracking/utils.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bonlime/pytorch-tools path: /pytorch_tools/segmentation_models/deeplabv3_plus.py
import logging
import torch.nn as nn
from pytorch_tools.modules.decoder import DeepLabHead
from pytorch_tools.modules import bn_from_name
from .base import EncoderDecoder
from .encoders import get_encoder
class Dee... | code_fim | hard | {
"lang": "python",
"repo": "bonlime/pytorch-tools",
"path": "/pytorch_tools/segmentation_models/deeplabv3_plus.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> super().__init__(encoder, decoder)
self.upsample = nn.Upsample(scale_factor=4, mode="bilinear") if last_upsample else nn.Identity()
self.name = f"deeplabv3plus-{encoder_name}"
def forward(self, x):
"""Sequentially pass `x` trough model`s `encoder` and `decoder` (return... | code_fim | hard | {
"lang": "python",
"repo": "bonlime/pytorch-tools",
"path": "/pytorch_tools/segmentation_models/deeplabv3_plus.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Joyce-yanqiongzhang/proj2_storytelling path: /storytelling/storytelling/urls.py
"""storytelling URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/3.1/topics/http/urls/
Examples:
Function views
1. Add an impor... | code_fim | hard | {
"lang": "python",
"repo": "Joyce-yanqiongzhang/proj2_storytelling",
"path": "/storytelling/storytelling/urls.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> views.upload_img),
path('map_character/', views.map_character),
path('generate_story/', views.generate_story),
path('sepastory/', views.sepa_storypage),
path('take_photo/', views.take_photo_page),
path('update_content/', views.update_content),
]<|fim_prefix|># repo: Joyce-yanqiongzhan... | code_fim | hard | {
"lang": "python",
"repo": "Joyce-yanqiongzhang/proj2_storytelling",
"path": "/storytelling/storytelling/urls.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> theme = models.ForeignKey(
'theme.Theme',
verbose_name='統一テーマ案',
on_delete=models.CASCADE
)
class FirstVote(AbstractVote):
class Meta:
verbose_name = '予選投票/投票先'
verbose_name_plural = verbose_name
class FinalVote(AbstractVote):
class Meta:
... | code_fim | hard | {
"lang": "python",
"repo": "kai0310/penguin",
"path": "/theme/models.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """予選投票 EPTID 記録用のモデル
"""
class Meta:
verbose_name = '予選投票/EPTID'
verbose_name_plural = verbose_name
class FinalVoteEptid(AbstractVoteEptid):
"""決選投票 EPTID 記録用のモデル
"""
class Meta:
verbose_name = '決選投票/EPTID'
verbose_name_plural = verbose_name
cla... | code_fim | hard | {
"lang": "python",
"repo": "kai0310/penguin",
"path": "/theme/models.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kai0310/penguin path: /theme/models.py
from django.core.validators import MinLengthValidator
from django.db import models
class Theme(models.Model):
""" 統一テーマ案
"""
class Meta:
verbose_name = '統一テーマ案'
verbose_name_plural = verbose_name
ordering = ('pk',)
... | code_fim | hard | {
"lang": "python",
"repo": "kai0310/penguin",
"path": "/theme/models.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>for digit in a:
if digit % 2 == 0:
even.append(digit)
else:
odd.append(digit)
odd.sort(reverse=True)
even.sort(reverse=True)
min_len = min(len(odd), len(even))
max_len = max(len(odd), len(even))
ans = 0
if len(odd) == max_len:
ans += sum(odd[min(min_len + 1, len(odd)):])
el... | code_fim | easy | {
"lang": "python",
"repo": "sgrade/pytest",
"path": "/codeforces/1144B.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sgrade/pytest path: /codeforces/1144B.py
# B. Parity Alternated Deletions
n = int(input())
a = list(map(int, input().split()))
<|fim_suffix|>if len(odd) == max_len:
ans += sum(odd[min(min_len + 1, len(odd)):])
else:
ans += sum(even[min(min_len + 1, len(even)):])
print(ans)<|fim_middle|... | code_fim | hard | {
"lang": "python",
"repo": "sgrade/pytest",
"path": "/codeforces/1144B.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Alexeino/oauth-microservice path: /api/users/serializers.py
from django.contrib.auth import models
from rest_framework import serializers
class UserPermissionSerializer(serializers.HyperlinkedModelSerializer):
""" User permissions are serialized/deserialized with the following fields.
... | code_fim | hard | {
"lang": "python",
"repo": "Alexeino/oauth-microservice",
"path": "/api/users/serializers.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def get_permissions(self, user):
# Django doesn't have a get_all_permissions method that returns the
# actual permissions, only the string names, so we have to build our
# own result queryset to use.
qs = list(user.user_permissions.all())
for group in user.group... | code_fim | hard | {
"lang": "python",
"repo": "Alexeino/oauth-microservice",
"path": "/api/users/serializers.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ghomsi/PyRate path: /pyrate/core/gamma.py
# This Python module is part of the PyRate software package.
#
# Copyright 2020 Geoscience Australia
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may... | code_fim | hard | {
"lang": "python",
"repo": "ghomsi/PyRate",
"path": "/pyrate/core/gamma.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>def _frequency_to_wavelength(freq):
"""
Convert radar frequency to wavelength
"""
return ifc.SPEED_OF_LIGHT_METRES_PER_SECOND / freq
def combine_headers(hdr0, hdr1, dem_hdr):
"""
Combines metadata for first and second image epochs and DEM into a
single dictionary for an inter... | code_fim | hard | {
"lang": "python",
"repo": "ghomsi/PyRate",
"path": "/pyrate/core/gamma.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lucgiffon/psm-nets path: /code/scripts/2020/01/0_0_soft_entropy_regularization_sprase_facto_net.py
"""
This script finds a palminized model with given arguments then finetune it.
Usage:
script.py [-h] [-v|-vv] --walltime int [--seed int] [--sparsity-factor=int] [--nb-factor=intorstr] [--tb]... | code_fim | hard | {
"lang": "python",
"repo": "lucgiffon/psm-nets",
"path": "/code/scripts/2020/01/0_0_soft_entropy_regularization_sprase_facto_net.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # "nb_flop": nb_flop_model,
# "nb_param": nb_param_model,
}
resprinter.add(dct_results)
resprinter.print()
base_model.summary()
call_backs = []
model_checkpoint_callback = keras.callbacks.ModelCheckpoint(str(paraman["output_file_modelprinter"]), monitor='val_loss... | code_fim | hard | {
"lang": "python",
"repo": "lucgiffon/psm-nets",
"path": "/code/scripts/2020/01/0_0_soft_entropy_regularization_sprase_facto_net.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>v0.1.0
+ Initial version
+ requirements.txt
"""
__version__ = '0.2.1'
__requires__ = ['requests', 'colorama', 'urllib', 'lxml']<|fim_prefix|># repo: deskflop/ohrenbaer-podcast path: /source/version.py
# -*- coding: utf-8 -*-
"""
Changelog
v0.2.1
+ minor code changes/cleanup regarding unicode
<|fim_mid... | code_fim | hard | {
"lang": "python",
"repo": "deskflop/ohrenbaer-podcast",
"path": "/source/version.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>__version__ = '0.2.1'
__requires__ = ['requests', 'colorama', 'urllib', 'lxml']<|fim_prefix|># repo: deskflop/ohrenbaer-podcast path: /source/version.py
# -*- coding: utf-8 -*-
"""
Changelog
v0.2.1
+ minor code changes/cleanup regarding unicode
v0.2.0
+ removed arg 'podcast-url'
+ set url for podcast t... | code_fim | easy | {
"lang": "python",
"repo": "deskflop/ohrenbaer-podcast",
"path": "/source/version.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: deskflop/ohrenbaer-podcast path: /source/version.py
# -*- coding: utf-8 -*-
"""
Changelog
v0.2.1
+ minor code changes/cleanup regarding unicode
<|fim_suffix|>v0.1.0
+ Initial version
+ requirements.txt
"""
__version__ = '0.2.1'
__requires__ = ['requests', 'colorama', 'urllib', 'lxml']<|fim_mid... | code_fim | hard | {
"lang": "python",
"repo": "deskflop/ohrenbaer-podcast",
"path": "/source/version.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: xhtml2pdf/xhtml2pdf path: /xhtml2pdf/builders/watermarks.py
import pypdf
from PIL import Image
from reportlab.pdfgen.canvas import Canvas
from xhtml2pdf.files import pisaFileObject, getFile
class WaterMarks:
@staticmethod
def get_size_location(img, context, pagesize, is_portrait):
... | code_fim | hard | {
"lang": "python",
"repo": "xhtml2pdf/xhtml2pdf",
"path": "/xhtml2pdf/builders/watermarks.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> @staticmethod
def generate_pdf_background(pisafile, pagesize, is_portrait, context={}):
"""
pypdf requires pdf as background so convert image to pdf in temporary file with same page dimensions
:param pisafile: Image File
:param pagesize: Page size for the new pdf
... | code_fim | hard | {
"lang": "python",
"repo": "xhtml2pdf/xhtml2pdf",
"path": "/xhtml2pdf/builders/watermarks.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> if context.pisaBackgroundList:
pages = list(map(lambda x: x[0], context.pisaBackgroundList))+[max_numpage+1]
pages.pop(0)
counter=0
for page, bgfile, pgcontext in context.pisaBackgroundList:
if not bgfile.notFound():
... | code_fim | hard | {
"lang": "python",
"repo": "xhtml2pdf/xhtml2pdf",
"path": "/xhtml2pdf/builders/watermarks.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>def resolve_data(item, title, itemvalue):
for key, value in title_define.items():
if title.find(value) != -1:
item[key] = itemvalue
break<|fim_prefix|># repo: siyuanCai/patent-crawler path: /service/item_collection.py
# -*- coding: utf-8 -*-
"""
Created on 2018/2/27
<... | code_fim | medium | {
"lang": "python",
"repo": "siyuanCai/patent-crawler",
"path": "/service/item_collection.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: siyuanCai/patent-crawler path: /service/item_collection.py
# -*- coding: utf-8 -*-
"""
Created on 2018/2/27
@author: will4906
"""
from entity.query_item import title_define
<|fim_suffix|> for key, value in title_define.items():
if title.find(value) != -1:
item[key] = item... | code_fim | easy | {
"lang": "python",
"repo": "siyuanCai/patent-crawler",
"path": "/service/item_collection.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: gems-uff/noworkflow path: /capture/noworkflow/patterns/rules/temporal_inference_rules.py
# Copyright (c) 2017 Universidade Federal Fluminense (UFF)
# Copyright (c) 2017 Polytechnic Institute of New York University.
# This file is part of noWorkflow.
# Please, consult the license terms in the LICE... | code_fim | hard | {
"lang": "python",
"repo": "gems-uff/noworkflow",
"path": "/capture/noworkflow/patterns/rules/temporal_inference_rules.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """match *File* accesses that belongs to an *Activation* stack
in a given trial (*TrialId*).
"""
activation_stack = var("_stack")
return (
access_stack_id(trial_id, file, activation_stack) &
member(activation, activation_stack)
)
@prolog_rule("access_influence_id(... | code_fim | hard | {
"lang": "python",
"repo": "gems-uff/noworkflow",
"path": "/capture/noworkflow/patterns/rules/temporal_inference_rules.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> q1, q2, q3, u1, u2, u3 = dynamicsymbols('q1:4, u1:4')
l1, l2, l3, l4, rho = symbols('l1:5, rho')
N = ReferenceFrame('N')
inertias = [inertia(N, 0, 0, rho * l ** 3 / 12) for l in (l1, l2, l3, l4)]
link1 = Body('Link1', frame=N, mass=rho * l1, central_inertia=inertias[0])
link2 = Bo... | code_fim | hard | {
"lang": "python",
"repo": "sympy/sympy",
"path": "/sympy/physics/mechanics/tests/test_jointsmethod.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
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