text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_prefix|># repo: KaichenZhang/sentiment-analysis path: /main.py
#!flask/bin/python
import json
import zipfile
from urllib.request import urlopen
from zipfile import ZipFile
import shutil
from flask import Flask, jsonify, render_template, flash, make_response, session, send_from_directory
import os
from flask impo... | code_fim | hard | {
"lang": "python",
"repo": "KaichenZhang/sentiment-analysis",
"path": "/main.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> zip_ref.extractall(uuid_path)
zip_ref.close()
extracted_file_pos = ""
extracted_file_neg = ""
for each_filename in extracted:
if pos_file(each_filename):
extracted_file_pos = each_filename
if not pos_file(each_filename):
... | code_fim | hard | {
"lang": "python",
"repo": "KaichenZhang/sentiment-analysis",
"path": "/main.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bes-dev/vqvae_dwt_distiller.pytorch path: /train.py
import argparse
import os
import torch
import pytorch_lightning as pl
import pytorch_lightning.loggers as pl_loggers
from core.utils import load_cfg, load_weights
from core.distiller import Distiller
def build_logger(cfg):
return getattr(pl... | code_fim | hard | {
"lang": "python",
"repo": "bes-dev/vqvae_dwt_distiller.pytorch",
"path": "/train.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>if __name__ == "__main__":
parser = argparse.ArgumentParser()
# pipeline configure
parser.add_argument("--gpus", type=int, default=0, help="number of available GPUs")
parser.add_argument('--distributed-backend', type=str, default="ddp", choices=('dp', 'ddp', 'ddp2'),
... | code_fim | hard | {
"lang": "python",
"repo": "bes-dev/vqvae_dwt_distiller.pytorch",
"path": "/train.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: leocov-dev/lct-legacy path: /lct/src/lcTextureTools/lcTextureTools.py
import os
import pymel.core as pm
import lct.src.core.lcColor as lcColor
import lct.src.core.lcConfiguration as lcConfiguration
import lct.src.core.lcPath as lcPath
import lct.src.core.lcPrefs as lcPrefs
import lct.src.core.l... | code_fim | hard | {
"lang": "python",
"repo": "leocov-dev/lct-legacy",
"path": "/lct/src/lcTextureTools/lcTextureTools.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def lcTxT_repath_selected(*args, **kwargs):
''' '''
textures = pm.ls(sl=True)
textures = lcTexture.Texture.filterForTextures(textures)
if textures:
newPath = pm.textField(prefix + '_textField_new_path', query=True, text=True)
if newPath:
lcTexture.Texture.repath... | code_fim | hard | {
"lang": "python",
"repo": "leocov-dev/lct-legacy",
"path": "/lct/src/lcTextureTools/lcTextureTools.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def lcTxT_repath_selected(*args, **kwargs):
''' '''
textures = pm.ls(sl=True)
textures = lcTexture.Texture.filterForTextures(textures)
if textures:
newPath = pm.textField(prefix + '_textField_new_path', query=True, text=True)
if newPath:
lcTexture.Texture.repat... | code_fim | hard | {
"lang": "python",
"repo": "leocov-dev/lct-legacy",
"path": "/lct/src/lcTextureTools/lcTextureTools.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>from PIL import Image #use PIL to processs img
import os
import numpy as np
#import cv2 #import when use opencv to process img
if __name__ == "__main__" :
#PIL
image1 = Image.open('image1.png')
image2 = Image.open('image2.png')
#reduce size and grayscale
image1=np.array(image1.r... | code_fim | medium | {
"lang": "python",
"repo": "hizb-resume/LTD-local-track-to-detect-for-VID",
"path": "/projects/adnet/mains/del_test.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hizb-resume/LTD-local-track-to-detect-for-VID path: /projects/adnet/mains/del_test.py
import torch
import torchvision
from utils.my_util import aHash,Hamming_distance
# print(torch.cuda.is_available())
#
# a = torch.Tensor(5,3)
# a=a.cuda()
# print(a)
# layers=[1,2,3,4,5,6,7,8,9]
<|fim_suffix|>
... | code_fim | hard | {
"lang": "python",
"repo": "hizb-resume/LTD-local-track-to-detect-for-VID",
"path": "/projects/adnet/mains/del_test.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>a and c > b:
maior = c
cprint('''O maior número é o {}
O menor número é o {}'''.format(maior, menor), 'green')<|fim_prefix|># repo: guilhermebaos/Curso-em-Video-Python path: /1_Python/Exercícios/Ex033_Maior_e_Menor.py
from termcolor import colored, cprint
a = float(input(colored('Escreve um número: '... | code_fim | hard | {
"lang": "python",
"repo": "guilhermebaos/Curso-em-Video-Python",
"path": "/1_Python/Exercícios/Ex033_Maior_e_Menor.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: guilhermebaos/Curso-em-Video-Python path: /1_Python/Exercícios/Ex033_Maior_e_Menor.py
from termcolor import colored, cprint
a = float(input(colored('Escreve um número: ', 'blue')))
b = float(input(colored('Escreve outro número: ', 'blue')))
c = float(input(colored('E agora mais um: ', 'blue')))
m... | code_fim | medium | {
"lang": "python",
"repo": "guilhermebaos/Curso-em-Video-Python",
"path": "/1_Python/Exercícios/Ex033_Maior_e_Menor.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> a and b < c:
menor = b
if c < a and c < b:
menor = c
maior = a
if b > c and b > a:
maior = b
if c > a and c > b:
maior = c
cprint('''O maior número é o {}
O menor número é o {}'''.format(maior, menor), 'green')<|fim_prefix|># repo: guilhermebaos/Curso-em-Video-Python path: /1_Python/Exer... | code_fim | medium | {
"lang": "python",
"repo": "guilhermebaos/Curso-em-Video-Python",
"path": "/1_Python/Exercícios/Ex033_Maior_e_Menor.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.__previous_job = None
self.__current_job = None
@staticmethod
def _validate(response):
if not response.ok:
raise ServiceError('HTTP error', response.status_code)
result = json.loads(response.text)
if 'response' not in result:
r... | code_fim | hard | {
"lang": "python",
"repo": "routevo/routevo-python-sdk",
"path": "/routevo/service.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: routevo/routevo-python-sdk path: /routevo/service.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright (C) 2017 Routevo
#
# You may use, distribute and modify this code under the
# terms of the MIT license.
#
# You should have received a copy of the MIT license with
# this file. If not, ... | code_fim | hard | {
"lang": "python",
"repo": "routevo/routevo-python-sdk",
"path": "/routevo/service.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: home-assistant/core path: /script/hassfest/metadata.py
"""Package metadata validation."""
import tomllib
from homeassistant.const import REQUIRED_PYTHON_VER, __version__
from .model import Config, Integration
<|fim_suffix|> """Validate project metadata keys."""
metadata_path = config.r... | code_fim | medium | {
"lang": "python",
"repo": "home-assistant/core",
"path": "/script/hassfest/metadata.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> try:
if data["project"]["version"] != __version__:
config.add_error(
"metadata", f"'project.version' value does not match '{__version__}'"
)
except KeyError:
config.add_error("metadata", "No 'metadata.version' key found!")
required_py_ve... | code_fim | hard | {
"lang": "python",
"repo": "home-assistant/core",
"path": "/script/hassfest/metadata.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>.click()
page_actions.wait_for_text_visible(driver, "42", "output", "id")
js_utils.highlight_with_js(driver, "#output", 6, "")
finally:
driver.quit()<|fim_prefix|># repo: Rotbot9k/SeleniumBase path: /examples/raw_browser_launcher.py
"""
This script can be run with pure "python". (pytest ... | code_fim | medium | {
"lang": "python",
"repo": "Rotbot9k/SeleniumBase",
"path": "/examples/raw_browser_launcher.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Rotbot9k/SeleniumBase path: /examples/raw_browser_launcher.py
"""
This script can be run with pure "python". (pytest not needed).
"get_driver()" is from [seleniumbase/core/browser_launcher.py].
"""
from seleniumbase import <|fim_suffix|>seleniumbase.io/apps/calculator")
page_actions.wait... | code_fim | medium | {
"lang": "python",
"repo": "Rotbot9k/SeleniumBase",
"path": "/examples/raw_browser_launcher.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>seleniumbase.io/apps/calculator")
page_actions.wait_for_element_visible(driver, "4", "id").click()
page_actions.wait_for_element_visible(driver, "2", "id").click()
page_actions.wait_for_text_visible(driver, "42", "output", "id")
js_utils.highlight_with_js(driver, "#output", 6, "")
fin... | code_fim | medium | {
"lang": "python",
"repo": "Rotbot9k/SeleniumBase",
"path": "/examples/raw_browser_launcher.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def get_output_error(cmd, **kwargs):
"""Return the exit status, stdout, stderr of a command"""
if not isinstance(cmd, list):
cmd = [cmd]
logging.debug("Running: %s", ' '.join(map(quote, cmd)))
try:
result = Popen(cmd, stdout=PIPE, stderr=PIPE, **kwargs)
except OSError ... | code_fim | hard | {
"lang": "python",
"repo": "zeromq/pyzmq",
"path": "/buildutils/misc.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def get_compiler(compiler, **compiler_attrs):
"""get and customize a compiler"""
cc = copy.deepcopy(compiler)
for name, val in compiler_attrs.items():
setattr(cc, name, val)
return cc
def get_output_error(cmd, **kwargs):
"""Return the exit status, stdout, stderr of a comma... | code_fim | hard | {
"lang": "python",
"repo": "zeromq/pyzmq",
"path": "/buildutils/misc.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: zeromq/pyzmq path: /buildutils/misc.py
"""misc build utility functions"""
# Copyright (c) PyZMQ Developers
# Distributed under the terms of the Modified BSD License.
import copy
import logging
import os
import sys
from pprint import pprint
from shlex import quote
from subprocess import PIPE, Po... | code_fim | hard | {
"lang": "python",
"repo": "zeromq/pyzmq",
"path": "/buildutils/misc.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hagleitn/Openstack-Devstack2 path: /devstack/distros/oneiric.py
# vim: tabstop=4 shiftwidth=4 softtabstop=4
# Copyright (C) 2012 Yahoo! Inc. All Rights Reserved.
# Copyright (C) 2012 New Dream Network, LLC (DreamHost) All Rights Reserved.
#
# Licensed under the Apache License, Version 2... | code_fim | medium | {
"lang": "python",
"repo": "hagleitn/Openstack-Devstack2",
"path": "/devstack/distros/oneiric.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> if name == 'rabbitmq-server':
#https://bugs.launchpad.net/ubuntu/+source/rabbitmq-server/+bug/878597
#https://bugs.launchpad.net/ubuntu/+source/rabbitmq-server/+bug/878600
LOG.debug("Handling special install of %s." % (name))
#this seems to be a temp... | code_fim | hard | {
"lang": "python",
"repo": "hagleitn/Openstack-Devstack2",
"path": "/devstack/distros/oneiric.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> DB_NAME = AuthenticationBackends.FACEBOOK<|fim_prefix|># repo: glosoftgroup/glosoftgroup-django-pos path: /saleor/registration/backends/facebook.py
from social_core.backends.facebook import FacebookOAuth2
from . import BaseBackend
from ...site import AuthenticationBackends
<|fim_middle|>clas... | code_fim | easy | {
"lang": "python",
"repo": "glosoftgroup/glosoftgroup-django-pos",
"path": "/saleor/registration/backends/facebook.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: glosoftgroup/glosoftgroup-django-pos path: /saleor/registration/backends/facebook.py
from social_core.backends.facebook import FacebookOAuth2
from . import BaseBackend
from ...site import AuthenticationBackends
<|fim_suffix|> DB_NAME = AuthenticationBackends.FACEBOOK<|fim_middle|>clas... | code_fim | easy | {
"lang": "python",
"repo": "glosoftgroup/glosoftgroup-django-pos",
"path": "/saleor/registration/backends/facebook.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> log.debug('Query.__init__')
self.view = view
self.statements = statements or []
def filter(self, statement: Statement) -> 'Query':
log.debug('Query.filter')
return Query(self.view, self.statements + [statement])
def fetch(self) -> Iterable[Model]:
... | code_fim | medium | {
"lang": "python",
"repo": "ndenny/dictabase",
"path": "/dictabase/query.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ndenny/dictabase path: /dictabase/query.py
import logging
from typing import Optional, Iterable
from . import View
from . import Model
from . import Statement
<|fim_suffix|>
def __init__(self, view: View, statements: Optional[Iterable[Statement]] = None):
log.debug('Query.__init__')
... | code_fim | medium | {
"lang": "python",
"repo": "ndenny/dictabase",
"path": "/dictabase/query.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kbaseapps/SetAPI path: /lib/SetAPI/util.py
"""
This module contains some utility functions for the SetAPI.
"""
import os
import re
from installed_clients.DataFileUtilClient import DataFileUtil
<|fim_suffix|>
def dfu_get_obj_data(obj_ref):
dfu = DataFileUtil(os.environ['SDK_CALLBACK_URL'])
... | code_fim | hard | {
"lang": "python",
"repo": "kbaseapps/SetAPI",
"path": "/lib/SetAPI/util.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> dfu = DataFileUtil(os.environ['SDK_CALLBACK_URL'])
obj_data = dfu.get_objects(
{"object_refs": [obj_ref]})['data'][0]['data']
return obj_data<|fim_prefix|># repo: kbaseapps/SetAPI path: /lib/SetAPI/util.py
"""
This module contains some utility functions for the SetAPI.
"""
import os
... | code_fim | hard | {
"lang": "python",
"repo": "kbaseapps/SetAPI",
"path": "/lib/SetAPI/util.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> keep_files=False, multiple_delim=False,
dst_folder='./raw_data'):
""" Performs a hievpy search and loads results into a pandas dataframe given the file records
Input
-----
Required
- api_token: HIEv API token/key
- base_url: Base URL o... | code_fim | hard | {
"lang": "python",
"repo": "gdevine/hievpy",
"path": "/build/lib/hievpy/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: gdevine/hievpy path: /build/lib/hievpy/__init__.py
import urllib.request
import urllib.parse
import json
import pandas as pd
import requests
import io
import tqdm
from pathlib import Path
import os
import shutil
from hievpy.utils import *
# ------------------------------------------------------... | code_fim | hard | {
"lang": "python",
"repo": "gdevine/hievpy",
"path": "/build/lib/hievpy/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hochthom/chord_progression path: /sample_lstm.py
'''Example script to generate text from Nietzsche's writings.
At least 20 epochs are required before the generated text
starts sounding coherent.
It is recommended to run this script on GPU, as recurrent
networks are quite computationally intensi... | code_fim | hard | {
"lang": "python",
"repo": "hochthom/chord_progression",
"path": "/sample_lstm.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> for i in xrange(48):
if len(gen_seq) % 5 == 0:
gen_seq.append('|')
x[0,:-1,:] = x[0,1:,:]
x[0,-1,:] = 0
x[0,-1,-1] = 1
preds = model.predict(x, verbose=0)[0]
... | code_fim | hard | {
"lang": "python",
"repo": "hochthom/chord_progression",
"path": "/sample_lstm.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_two_sums_not_found(self):
test = two_sums(nums=self.nums, target=self.wrong_target)
self.assertNotEqual(test, '[0, 1]')
self.assertEqual(test, 'No two sum solution')
def test_two_sums_brute_force(self):
self.assertEqual(two_sums_brute_force(
nu... | code_fim | medium | {
"lang": "python",
"repo": "christopher-burke/python-scripts",
"path": "/tests/test_two_sums_unittest.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: christopher-burke/python-scripts path: /tests/test_two_sums_unittest.py
import unittest
from two_sum import two_sums, two_sums_brute_force
class TestTwoSums(unittest.TestCase):
<|fim_suffix|> def test_two_sums_brute_force(self):
self.assertEqual(two_sums_brute_force(
num... | code_fim | hard | {
"lang": "python",
"repo": "christopher-burke/python-scripts",
"path": "/tests/test_two_sums_unittest.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> test = two_sums(nums=self.nums, target=self.wrong_target)
self.assertNotEqual(test, '[0, 1]')
self.assertEqual(test, 'No two sum solution')
def test_two_sums_brute_force(self):
self.assertEqual(two_sums_brute_force(
nums=self.nums, target=self.target), '[0,... | code_fim | medium | {
"lang": "python",
"repo": "christopher-burke/python-scripts",
"path": "/tests/test_two_sums_unittest.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: datalad/datalad-metalad path: /datalad_metalad/extractors/metalad_example_dataset.py
# emacs: -*- mode: python; py-indent-offset: 4; tab-width: 4; indent-tabs-mode: nil -*-
# ex: set sts=4 ts=4 sw=4 et:
# ## ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ##
#
# See COPY... | code_fim | hard | {
"lang": "python",
"repo": "datalad/datalad-metalad",
"path": "/datalad_metalad/extractors/metalad_example_dataset.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return "0.0.1"
def get_data_output_category(self) -> DataOutputCategory:
return DataOutputCategory.IMMEDIATE
def get_required_content(self) -> bool:
return True
def extract(self, _=None) -> ExtractorResult:
return ExtractorResult(
extractor_versio... | code_fim | medium | {
"lang": "python",
"repo": "datalad/datalad-metalad",
"path": "/datalad_metalad/extractors/metalad_example_dataset.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> super(Adam, self).__init__(module, lr)
# TODO Initialize the attributes
# of Adam optimizer.
...
self.beta = [0.99,0.999]
self.eps = 1e-7
# End of todo
def _update_weight(self, tensor):
# TODO Update the weight of
# tensor in A... | code_fim | hard | {
"lang": "python",
"repo": "yvr1037/hello-dian.ai",
"path": "/lab1/nn/optim.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: yvr1037/hello-dian.ai path: /lab1/nn/optim.py
from .tensor import Tensor
from .modules import Module
# 几类优化器的实现
class Optim(object):
def __init__(self, module, lr):
self.module = module
self.lr = lr
def step(self):
self._step_module(self.module)
def _step_m... | code_fim | hard | {
"lang": "python",
"repo": "yvr1037/hello-dian.ai",
"path": "/lab1/nn/optim.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: openprocurement/openregistry.concierge path: /openregistry/concierge/basic/tests/main.py
import os
import pytest
ROOT = '/'.join(os.path.dirname(__file__).split('/')[:-3])
COVER_PACKAGE = '.'.join(__package__.split('.')[:-1])
<|fim_suffix|> source = [ROOT, '--cov={}'.format(COVER_PACKAGE)]
... | code_fim | easy | {
"lang": "python",
"repo": "openprocurement/openregistry.concierge",
"path": "/openregistry/concierge/basic/tests/main.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> source = [ROOT, '--cov={}'.format(COVER_PACKAGE)]
for arg in args:
source.append(arg)
pytest.main(source)<|fim_prefix|># repo: openprocurement/openregistry.concierge path: /openregistry/concierge/basic/tests/main.py
import os
import pytest
ROOT = '/'.join(os.path.dirname(__file__).sp... | code_fim | easy | {
"lang": "python",
"repo": "openprocurement/openregistry.concierge",
"path": "/openregistry/concierge/basic/tests/main.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>def create_graph(predicted_ids, parent_ids, scores, vocab=None):
def get_node_name(pred):
return vocab[pred] if vocab else str(pred)
seq_length = predicted_ids.shape[0]
graph = nx.DiGraph()
for level in range(seq_length):
names = [get_node_name(pred) for pred in predicted_... | code_fim | hard | {
"lang": "python",
"repo": "dbpedia/neural-rdf-verbalizer",
"path": "/src/tools/generate_beam_viz.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> for idx in range(len(beam_data["predicted_ids"])):
predicted_ids = beam_data["predicted_ids"][idx]
parent_ids = beam_data["beam_parent_ids"][idx]
scores = beam_data["scores"][idx]
graph = create_graph(
predicted_ids=predicted_ids,
parent_ids=par... | code_fim | hard | {
"lang": "python",
"repo": "dbpedia/neural-rdf-verbalizer",
"path": "/src/tools/generate_beam_viz.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dbpedia/neural-rdf-verbalizer path: /src/tools/generate_beam_viz.py
#! /usr/bin/env python
# Copyright 2017 Google Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
... | code_fim | hard | {
"lang": "python",
"repo": "dbpedia/neural-rdf-verbalizer",
"path": "/src/tools/generate_beam_viz.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: FedML-AI/FedML path: /python/fedml/model/cv/darts/visualize.py
import sys
from graphviz import Digraph
def plot(genotype, filename):
g = Digraph(
format="pdf",
edge_attr=dict(fontsize="20", fontname="times"),
node_attr=dict(
style="filled",
s... | code_fim | hard | {
"lang": "python",
"repo": "FedML-AI/FedML",
"path": "/python/fedml/model/cv/darts/visualize.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> for i in range(steps):
g.node(str(i), fillcolor="lightblue")
for i in range(steps):
for k in [2 * i, 2 * i + 1]:
op, j = genotype[k]
if j == 0:
u = "c_{k-2}"
elif j == 1:
u = "c_{k-1}"
else:
... | code_fim | medium | {
"lang": "python",
"repo": "FedML-AI/FedML",
"path": "/python/fedml/model/cv/darts/visualize.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> genotype_name = sys.argv[1]
try:
print(genotype_name)
# genotype = MY_ARCT4
genotype = eval("genotypes.{}".format(genotype_name))
except AttributeError:
print("{} is not specified in genotypes.py".format(genotype_name))
sys.exit(1)
plot(genotype.nor... | code_fim | hard | {
"lang": "python",
"repo": "FedML-AI/FedML",
"path": "/python/fedml/model/cv/darts/visualize.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: PanDAWMS/panda-harvester path: /pandaharvester/harvesterpreparator/analysis_aux_preparator.py
import os
import shutil
try:
import subprocess32 as subprocess
except Exception:
import subprocess
import requests
import requests.exceptions
from pandaharvester.harvestercore.plugin_base impor... | code_fim | hard | {
"lang": "python",
"repo": "PanDAWMS/panda-harvester",
"path": "/pandaharvester/harvesterpreparator/analysis_aux_preparator.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # resolve input file paths
def resolve_input_paths(self, jobspec):
pathInfo = dict()
for tmpFileSpec in jobspec.inFiles:
url = tmpFileSpec.lfn
accPath = self.make_local_access_path(tmpFileSpec.scope, tmpFileSpec.lfn)
pathInfo[tmpFileSpec.lfn] = {... | code_fim | hard | {
"lang": "python",
"repo": "PanDAWMS/panda-harvester",
"path": "/pandaharvester/harvesterpreparator/analysis_aux_preparator.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> :return:
A list of unittest.TestCase classes
"""
# If we are in a source folder and these tests aren't installed as a
# package, we want to load asn1crypto from this source folder
tests_dir = os.path.dirname(os.path.abspath(__file__))
asn1crypto = None
if os.path.base... | code_fim | hard | {
"lang": "python",
"repo": "ossdev07/asn1crypto",
"path": "/tests/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ossdev07/asn1crypto path: /tests/__init__.py
# coding: utf-8
from __future__ import unicode_literals, division, absolute_import, print_function
import imp
import os
import unittest
__version__ = '1.2.0'
__version_info__ = (1, 2, 0)
def _import_from(mod, path, mod_dir=None):
"""
Impor... | code_fim | hard | {
"lang": "python",
"repo": "ossdev07/asn1crypto",
"path": "/tests/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: novopl/restible-appengine path: /src/restible_appengine/resource.py
# -*- coding: utf-8 -*-
# Copyright 2018-2019 Mateusz Klos
#
# 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 Lice... | code_fim | hard | {
"lang": "python",
"repo": "novopl/restible-appengine",
"path": "/src/restible_appengine/resource.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> return item
def update_item(self, request, params, payload):
item = self.item_for_request(request)
if item is None:
return None
payload.pop('id', None)
restible.util.update_from_values(item, payload)
item.put()
return item
de... | code_fim | hard | {
"lang": "python",
"repo": "novopl/restible-appengine",
"path": "/src/restible_appengine/resource.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> fib1, fib2 = 1, 2
while fib1 < maxnumber:
yield fib1
fib1, fib2 = fib2, fib1 + fib2
print(sum(f for f in fibs(4000000) if f % 2 == 0))<|fim_prefix|># repo: mazayus/ProjectEuler path: /problem002.py
#!/usr/bin/env python3
<|fim_middle|>def fibs(maxnumber):
| code_fim | easy | {
"lang": "python",
"repo": "mazayus/ProjectEuler",
"path": "/problem002.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mazayus/ProjectEuler path: /problem002.py
#!/usr/bin/env python3
<|fim_suffix|>print(sum(f for f in fibs(4000000) if f % 2 == 0))<|fim_middle|>def fibs(maxnumber):
fib1, fib2 = 1, 2
while fib1 < maxnumber:
yield fib1
fib1, fib2 = fib2, fib1 + fib2
| code_fim | medium | {
"lang": "python",
"repo": "mazayus/ProjectEuler",
"path": "/problem002.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: CTPUG/mdx_staticfiles path: /mdx_staticfiles.py
import re
from django.templatetags.static import static
from markdown.extensions import Extension
from markdown.postprocessors import Postprocessor
assetRE = re.compile(r'{% static (\'|"|")(.*?)(\1) %}')
class DjangoStaticAssetsProcessor(P... | code_fim | medium | {
"lang": "python",
"repo": "CTPUG/mdx_staticfiles",
"path": "/mdx_staticfiles.py",
"mode": "psm",
"license": "ISC",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class StaticfilesExtension(Extension):
def extendMarkdown(self, md, md_globals=None):
md.postprocessors.register(
DjangoStaticAssetsProcessor(md), 'staticfiles', 20)
def makeExtension(**kwargs):
return StaticfilesExtension(**kwargs)<|fim_prefix|># repo: CTPUG/mdx_staticfiles... | code_fim | medium | {
"lang": "python",
"repo": "CTPUG/mdx_staticfiles",
"path": "/mdx_staticfiles.py",
"mode": "spm",
"license": "ISC",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def ceil(x):
"""Return the ceiling of x as a float, but fudge it by epsilon"""
# if x is within MACHINE_EPS of an integer, return that integer
if abs(x - round(x)) < MACHINE_EPS:
return round(x)
# otherwise, return the ceiling of x
return math.ceil(x)
def floor(x):
"""Re... | code_fim | medium | {
"lang": "python",
"repo": "OMG-ICFP-FTW/icfp2021",
"path": "/aray/aray/util.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: OMG-ICFP-FTW/icfp2021 path: /aray/aray/util.py
#!/usr/bin/env python3
# util.py - utility functions
import math
from .types import Point
MACHINE_EPS = 1e-9
def dist(a: Point, b: Point):
"""Return the squared distance between two points"""
return (a.x - b.x) ** 2 + (a.y - b.y) ** 2
<... | code_fim | hard | {
"lang": "python",
"repo": "OMG-ICFP-FTW/icfp2021",
"path": "/aray/aray/util.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> if res[0] == 'Process Order Finish Item':
finish_dict[res[1]] = [res[2],res[3]]
process_order_lst = []
if process_dict:
process_orders = frappe.get_list('Process Order', filters=process_dict, fields=('name'))
for p in process_ord... | code_fim | hard | {
"lang": "python",
"repo": "resourcefactor/mjt",
"path": "/mjt/mjt/util.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: resourcefactor/mjt path: /mjt/mjt/util.py
import frappe
from frappe import _
from frappe.desk.reportview import get_match_cond, get_filters_cond
from frappe.model.mapper import get_mapped_doc
import json
from frappe import _
@frappe.whitelist()
@frappe.validate_and_sanitize_search_inputs
def ge... | code_fim | hard | {
"lang": "python",
"repo": "resourcefactor/mjt",
"path": "/mjt/mjt/util.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
fields = [
"name",
"confirmed",
"datetime",
"email",
"phone",
"comments",
"deprel_comments",
]
readonly_fields = ("name", "email", "phone", "comments")
list_display = (
"name",
"confirmed",
"email",
"d... | code_fim | medium | {
"lang": "python",
"repo": "erictang000/hknweb",
"path": "/hknweb/tours/admin.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: erictang000/hknweb path: /hknweb/tours/admin.py
from django.contrib import admin
from .models import DepTour
<|fim_suffix|> fields = [
"name",
"confirmed",
"datetime",
"email",
"phone",
"comments",
"deprel_comments",
]
readonly_... | code_fim | medium | {
"lang": "python",
"repo": "erictang000/hknweb",
"path": "/hknweb/tours/admin.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> instance = main_class()
self.assertEqual(instance.value, date(2007,12, 18))
with self.assertRaises(TraitError):
instance.value = 0.2
instance.value = date(2008,12, 18)
self.assertEqual(instance.value, date(2008,12, 18))
def test_bounded_python(sel... | code_fim | hard | {
"lang": "python",
"repo": "enthought/enaml",
"path": "/enaml/tests/util/test_bounded.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: enthought/enaml path: /enaml/tests/util/test_bounded.py
#------------------------------------------------------------------------------
# Copyright (c) 2011, Enthought, Inc.
# All rights reserved.
#------------------------------------------------------------------------------
import unittest
fr... | code_fim | hard | {
"lang": "python",
"repo": "enthought/enaml",
"path": "/enaml/tests/util/test_bounded.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> """ Test dynamic initialization. """
value = self.traits_instance.value
self.assertAlmostEqual(value, 0.2)
def test_assigment(self):
""" Test assigment. """
instance = self.traits_instance
instance.value = 0.7
self.assertAlmostEqual(instance.val... | code_fim | hard | {
"lang": "python",
"repo": "enthought/enaml",
"path": "/enaml/tests/util/test_bounded.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: imclab/harvest-scheduler path: /scheduler/prep_data.py
import numpy as np
import json
import math
import sqlite3
def from_random(stands, mgmts, timeperiods, numvars):
# consistently generate a random set
np.random.seed(42)
# 4D: stands, mgmts, time periods, variables
stand_data ... | code_fim | hard | {
"lang": "python",
"repo": "imclab/harvest-scheduler",
"path": "/scheduler/prep_data.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> sql = """
SELECT *
FROM fvsaggregate
WHERE var = '%(var)s'
AND rx = %(rx)d
AND cond = %(cond)d
AND site = %(site)d
AND climate = '%(climate)s'
AND "offset" = %(offset)d
... | code_fim | hard | {
"lang": "python",
"repo": "imclab/harvest-scheduler",
"path": "/scheduler/prep_data.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> conn = sqlite3.connect(db)
conn.row_factory = sqlite3.Row
cursor = conn.cursor()
# Check cache
if cache:
try:
stand_data = np.load('cache.array.npy')
axis_map = json.loads(open('cache.axis_map').read())
valid_mgmts = json.loads(... | code_fim | hard | {
"lang": "python",
"repo": "imclab/harvest-scheduler",
"path": "/scheduler/prep_data.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> buttondivide = toga.Button('÷',on_press=partial(self.enterdata,number='/'))
calculate = toga.Button('CALCULATE',on_press=self.calculate)
calculate.style.width = 300
calculate.style.padding_top = 30
#adding
box1.add(self.input_text)
box2.add(button7... | code_fim | hard | {
"lang": "python",
"repo": "abirshandilya07/Python-Calculator-Android-App",
"path": "/calculator/src/calculator/app.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> main_box.style.update(direction=COLUMN)
self.main_window = toga.MainWindow(title=self.formal_name)
self.main_window.content = main_box
self.main_window.show()
def enterdata(self,widget,number):
if (number == "C"):
self.input_text.value = ""
... | code_fim | hard | {
"lang": "python",
"repo": "abirshandilya07/Python-Calculator-Android-App",
"path": "/calculator/src/calculator/app.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: abirshandilya07/Python-Calculator-Android-App path: /calculator/src/calculator/app.py
"""
A basic calculator beeware application
"""
import toga
from toga.style import Pack
from toga.style.pack import COLUMN, ROW
from functools import partial
class Calculator(toga.App):
def startup(self):
... | code_fim | hard | {
"lang": "python",
"repo": "abirshandilya07/Python-Calculator-Android-App",
"path": "/calculator/src/calculator/app.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> args = parser.parse_args()
use_cuda = args.gpu >= 0 and torch.cuda.is_available()
if use_cuda:
cudnn.benchmark = True
device = torch.device(f"cuda:{args.gpu}" if use_cuda else "cpu")
print(f"using device {device}")
mean = np.loadtxt("../data/mean.txt")
sigma = np.load... | code_fim | hard | {
"lang": "python",
"repo": "TaizoAyase/video_classification",
"path": "/training/main.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> val_data_loader = torch.utils.data.DataLoader(
val_dataset, batch_size=args.batch_size, shuffle=True, **kwargs
)
model = models.__dict__[args.arch]()
model.to(device)
optimizer = torch.optim.SGD(
model.parameters(),
args.lr,
momentum=args.momentum,
... | code_fim | hard | {
"lang": "python",
"repo": "TaizoAyase/video_classification",
"path": "/training/main.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: TaizoAyase/video_classification path: /training/main.py
import argparse
import json
from pathlib import Path
import numpy as np
import pytorch_pfn_extras as ppe
import pytorch_pfn_extras.training.extensions as extensions
import torch
import torch.backends.cudnn as cudnn
import torch.nn as nn
imp... | code_fim | hard | {
"lang": "python",
"repo": "TaizoAyase/video_classification",
"path": "/training/main.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Set up the fake file system"""
self.setUpPyfakefs()
class DynamicImportPatchTest(TestPyfakefsUnittestBase):
def __init__(self, methodName="runTest"):
super(DynamicImportPatchTest, self).__init__(methodName)
def test_os_patch(self):
import os
os.mkdir(... | code_fim | medium | {
"lang": "python",
"repo": "davidlbaird/pyfakefs-1",
"path": "/pyfakefs/tests/dynamic_patch_test.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> file_path = "test.txt"
path = pathlib.Path(file_path)
with path.open("w") as f:
f.write("test")
self.assertTrue(self.fs.exists(file_path))
file_object = self.fs.get_object(file_path)
self.assertEqual("test", file_object.contents)
if __name__ =... | code_fim | hard | {
"lang": "python",
"repo": "davidlbaird/pyfakefs-1",
"path": "/pyfakefs/tests/dynamic_patch_test.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: davidlbaird/pyfakefs-1 path: /pyfakefs/tests/dynamic_patch_test.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
#
#... | code_fim | hard | {
"lang": "python",
"repo": "davidlbaird/pyfakefs-1",
"path": "/pyfakefs/tests/dynamic_patch_test.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: whysqwhw/catapult path: /dashboard/sandwich_verification/cabe_grpc/service_pb2.py
# -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: service.proto
"""Generated protocol buffer code."""
from google.protobuf import descriptor as _descriptor
from google.prot... | code_fim | hard | {
"lang": "python",
"repo": "whysqwhw/catapult",
"path": "/dashboard/sandwich_verification/cabe_grpc/service_pb2.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n\rservice.proto\x12\ncabe.proto\x1a\x0e\x61nalysis.proto\x1a\nspec.proto\"b\n\x12GetAnalysisRequest\x12\x17\n\x0fpinpoint_job_id\x18\x01 \x01(\t\x12\x33\n\x0f\x65xperiment_spec\x18\x02 \x01(\x0b\x32\x1a.cabe.proto.ExperimentSpec\"\x80\x01\n\x13... | code_fim | medium | {
"lang": "python",
"repo": "whysqwhw/catapult",
"path": "/dashboard/sandwich_verification/cabe_grpc/service_pb2.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>m % 2 == 0 else "O" for num in range(1,4)] for num in range(1,4)] =}')<|fim_prefix|># repo: norbertosanchezdichi/TIL path: /Python3/Lists/nested_comprehension.py
nested_list = [list(range(1,4)), list(range(4,7)), list(range(8,10))]
print(f'{nested_list =}')
print(f'{[[single_list for single_list in n<|fi... | code_fim | medium | {
"lang": "python",
"repo": "norbertosanchezdichi/TIL",
"path": "/Python3/Lists/nested_comprehension.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>ested_list] for single_list in nested_list] =}')
print(f'{[["X" if num % 2 == 0 else "O" for num in range(1,4)] for num in range(1,4)] =}')<|fim_prefix|># repo: norbertosanchezdichi/TIL path: /Python3/Lists/nested_comprehension.py
nested_list = [list(range(1,4)), list(range(4,7)), list(range(8,10))]<|fi... | code_fim | medium | {
"lang": "python",
"repo": "norbertosanchezdichi/TIL",
"path": "/Python3/Lists/nested_comprehension.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: norbertosanchezdichi/TIL path: /Python3/Lists/nested_comprehension.py
nested_list = [list(range(1,4)), list(range(4,7)), list(range(8,10))]<|fim_suffix|>m % 2 == 0 else "O" for num in range(1,4)] for num in range(1,4)] =}')<|fim_middle|>
print(f'{nested_list =}')
print(f'{[[single_list for single... | code_fim | medium | {
"lang": "python",
"repo": "norbertosanchezdichi/TIL",
"path": "/Python3/Lists/nested_comprehension.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: PacktPublishing/Deep-Reinforcement-Learning-Hands-On-Second-Edition path: /Chapter13/adhoc/sync_bench.py
#!/usr/bin/env python3
import time
import timeit
import gym
import ptan
import os
import sys
sys.path.append(os.getcwd())
from lib import common
import torch
import torch.nn as nn
# Result... | code_fim | hard | {
"lang": "python",
"repo": "PacktPublishing/Deep-Reinforcement-Learning-Hands-On-Second-Edition",
"path": "/Chapter13/adhoc/sync_bench.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return ptan.common.wrappers.wrap_dqn(gym.make("PongNoFrameskip-v4"))
def new_sync(tgt_net, src_net):
assert isinstance(tgt_net, nn.Module)
assert isinstance(src_net, nn.Module)
for tgt, src in zip(tgt_net.parameters(), src_net.parameters()):
tgt.data.copy_(src.data, broadcast=Fal... | code_fim | medium | {
"lang": "python",
"repo": "PacktPublishing/Deep-Reinforcement-Learning-Hands-On-Second-Edition",
"path": "/Chapter13/adhoc/sync_bench.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: erdos-project/pylot path: /pylot/simulation/perfect_lane_detector_operator.py
import os
from collections import deque
import PIL.Image as Image
import erdos
from erdos import Message, ReadStream, Timestamp, WriteStream
import numpy as np
from pylot.perception.messages import LanesMessage
cl... | code_fim | hard | {
"lang": "python",
"repo": "erdos-project/pylot",
"path": "/pylot/simulation/perfect_lane_detector_operator.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> Args:
pose_msg: Contains the current location of the ego vehicle.
"""
self._logger.debug('@{}: received watermark'.format(timestamp))
if timestamp.is_top:
return
bgr_msg = self._bgr_msgs.popleft()
pose_msg = self._pose_msgs.popleft()
... | code_fim | hard | {
"lang": "python",
"repo": "erdos-project/pylot",
"path": "/pylot/simulation/perfect_lane_detector_operator.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> protocol=eventlet.wsgi.HttpProtocol, backlog=128,
use_ssl=False, max_url_len=None):
"""Initialize, but do not start, a WSGI server.
:param name: Pretty name for logging.
:param app: The WSGI application to serve.
:param host: I... | code_fim | hard | {
"lang": "python",
"repo": "fajoy/openstack-hello",
"path": "/hello/hello/wsgi.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> :param name: Name of the application to load.
:returns: Paste URLMap object wrapping the requested application.
"""
LOG.debug(_("Loading app %(name)s from %(path)s") %
{'name': name, 'path': self.config_path})
return deploy.loadapp("config:%s" ... | code_fim | hard | {
"lang": "python",
"repo": "fajoy/openstack-hello",
"path": "/hello/hello/wsgi.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: fajoy/openstack-hello path: /hello/hello/wsgi.py
import os
from paste import deploy
from oslo.config import cfg
from openstack.common import excutils
from openstack.common.gettextutils import _
from openstack.common import log as logging
import webob
import eventlet
import eventlet.wsgi
import g... | code_fim | hard | {
"lang": "python",
"repo": "fajoy/openstack-hello",
"path": "/hello/hello/wsgi.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_sketch_preserves_vector_norm(self):
n_errors = 0
n_sketch_rows = int(np.ceil(2. / (0.01 * 0.5**2)))
true_norm = np.linalg.norm(self.x)
for seed in self.seeds:
sketch = clarkson_woodruff_transform(
self.x, n_sketch_rows, seed=seed,
... | code_fim | hard | {
"lang": "python",
"repo": "catboost/catboost",
"path": "/contrib/python/scipy/py3/scipy/linalg/tests/test_sketches.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: catboost/catboost path: /contrib/python/scipy/py3/scipy/linalg/tests/test_sketches.py
"""Tests for _sketches.py."""
import numpy as np
from numpy.testing import assert_, assert_equal
from scipy.linalg import clarkson_woodruff_transform
from scipy.linalg._sketches import cwt_matrix
from scipy.spa... | code_fim | hard | {
"lang": "python",
"repo": "catboost/catboost",
"path": "/contrib/python/scipy/py3/scipy/linalg/tests/test_sketches.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def do_POST(self):
parsed_path = urlparse(self.path)
print( "Headers are ",self.headers)
print( "Parsed path is",parsed_path.path)
content_len = int(self.headers.get('content-length', 0))
print( "Content len is", content_len)
print( "body is: ", self.rfi... | code_fim | medium | {
"lang": "python",
"repo": "Seekatar/GpioPlayground",
"path": "/UsbReadWrite/HttpServerDumper.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.send_response(200)
self.end_headers()
self.wfile.write('{"result":"ok"}'.encode())
return
if __name__ == '__main__':
server = socketserver.TCPServer(('', 8081), GetHandler)
print ('Starting server, use <Ctrl-C> to stop')
server.serve_forever()<|fim_pr... | code_fim | hard | {
"lang": "python",
"repo": "Seekatar/GpioPlayground",
"path": "/UsbReadWrite/HttpServerDumper.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Seekatar/GpioPlayground path: /UsbReadWrite/HttpServerDumper.py
import http.server
import socketserver
import webbrowser as web
from urllib.parse import urlparse
import serial
import time
alertMsg = bytearray([2,0,0,0])
path = "C:\\code\\GpioPlayground\\UsbReadWrite\\" # need trailing slash
cla... | code_fim | medium | {
"lang": "python",
"repo": "Seekatar/GpioPlayground",
"path": "/UsbReadWrite/HttpServerDumper.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>#inputfilename = "D:/results/invprop_bad_mcmnf_revised/InverseProportionBad_average_0.txt"
#outputfilename = "D:/results/invprop_bad_mcmnf_revised/InverseProportionBad_estimate_statistics_single_0.pdf"
#inputfilename = "D:/results/logreg-zero_mcmnf_revised/LogisticModelZero_average_0.txt"
#outputfilenam... | code_fim | medium | {
"lang": "python",
"repo": "horribleheffalump/MinimaxResearch",
"path": "/CMNFvsUT/OutputScripts/estimate_statistics_single.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: horribleheffalump/MinimaxResearch path: /CMNFvsUT/OutputScripts/estimate_statistics_single.py
import matplotlib
import matplotlib.pyplot as plt
from matplotlib import gridspec
import numpy as np
matplotlib.rc('text', usetex = True)
import pylab
import sys
import os
import pandas as pd
inputfilen... | code_fim | hard | {
"lang": "python",
"repo": "horribleheffalump/MinimaxResearch",
"path": "/CMNFvsUT/OutputScripts/estimate_statistics_single.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def spin():
polyData = vtk.vtkPolyData()
reader.GetPointCloud(polyData)
frame_id = reader.GetFrameId()
sec = reader.GetSec()
nsec = reader.GetNsec()
message = str(polyData.GetNumberOfPoints()) + " points, "
message += frame_id + ", " + str(sec) + "." + str(nsec)
print(messa... | code_fim | medium | {
"lang": "python",
"repo": "ori-drs/director",
"path": "/src/python/demos/demoPointCloud.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
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