text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_prefix|># repo: VitoChien/py-mask-rcnn path: /lib/crop_seg/__init__.py
# ------------------------------------------<|fim_suffix|>---------------------------------------------<|fim_middle|>--------------
# Crop the segmentation label image
# Written by Tianrui Hui
# ----------- | code_fim | medium | {
"lang": "python",
"repo": "VitoChien/py-mask-rcnn",
"path": "/lib/crop_seg/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>print(">> Rankup pre-trained model")
print(">> Start a new game")
trajectories, payoffs = env.run(is_training=False)
# If the human does not take the final action, we need to
# print other players action
if len(trajectories[0]) != 0:
final_state = trajectories[0][-1][-2]
action_record = final_sta... | code_fim | hard | {
"lang": "python",
"repo": "cuijing1991/rlcard",
"path": "/examples/rankup_human.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cuijing1991/rlcard path: /examples/rankup_human.py
''' An example of human players playing toy Rankup agaist two pretained DQN agents.
'''
import rlcard
from rlcard import models
from rlcard.agents import RankupHumanAgent as HumanAgent
from rlcard.utils import print_card
import numpy as np
# # ... | code_fim | hard | {
"lang": "python",
"repo": "cuijing1991/rlcard",
"path": "/examples/rankup_human.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>trajectories, payoffs = env.run(is_training=False)
# If the human does not take the final action, we need to
# print other players action
if len(trajectories[0]) != 0:
final_state = trajectories[0][-1][-2]
action_record = final_state['action_record']
state = final_state['raw_obs']
action_l... | code_fim | hard | {
"lang": "python",
"repo": "cuijing1991/rlcard",
"path": "/examples/rankup_human.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>result:
for line in result:
print(line)
else:
print('Nenhum produto encontrado!')<|fim_prefix|># repo: josevini/python path: /Introdução à Programação/capitulo11/ex_11.4.py
# Exercício 11.4 - Livro
import sqlite3
from contextlib import closing
min = float... | code_fim | medium | {
"lang": "python",
"repo": "josevini/python",
"path": "/Introdução à Programação/capitulo11/ex_11.4.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: josevini/python path: /Introdução à Programação/capitulo11/ex_11.4.py
# Exercício 11.4 - Livro
import sqlite3
from contextlib import closing
min = float(input('Digite um preço mínimo: '))
max = fl<|fim_suffix|> cursor:
result = cursor.execute(f'select * from produto where preco >= {min}... | code_fim | medium | {
"lang": "python",
"repo": "josevini/python",
"path": "/Introdução à Programação/capitulo11/ex_11.4.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return Pipeline([
('tfidf', TfidfTransformer(sublinear_tf=True)),
('lr', (RidgeCV()))
]) if pipeline is None else pipeline<|fim_prefix|># repo: JasonKessler/scattertext path: /scattertext/continuous/sklearnpipeline.py
import pandas as pd
from sklearn.feature_extrac... | code_fim | hard | {
"lang": "python",
"repo": "JasonKessler/scattertext",
"path": "/scattertext/continuous/sklearnpipeline.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: JasonKessler/scattertext path: /scattertext/continuous/sklearnpipeline.py
import pandas as pd
from sklearn.feature_extraction.text import TfidfTransformer
from sklearn.linear_model import RidgeCV, ElasticNetCV, LassoCV
from sklearn.pipeline import Pipeline
from scattertext.continuous.coefficient... | code_fim | hard | {
"lang": "python",
"repo": "JasonKessler/scattertext",
"path": "/scattertext/continuous/sklearnpipeline.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> :param corpus: TermDocMatrix, should just have unigrams
:param document_scores: np.array, continuous value for each document score
:return: pd.DataFrame
'''
assert document_scores.shape == (corpus.get_num_docs(),)
tdm = self._get_tdm(corpus)
model =... | code_fim | medium | {
"lang": "python",
"repo": "JasonKessler/scattertext",
"path": "/scattertext/continuous/sklearnpipeline.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: yanqd0/csft path: /src/csft/_csft.py
# -*- coding:utf-8 -*-
"""
The implementations of csft.
"""
import sys
from collections import OrderedDict, namedtuple
from distutils.version import LooseVersion
from os.path import getsize, islink, join, split, splitext
from pathlib import Path
from pandas ... | code_fim | hard | {
"lang": "python",
"repo": "yanqd0/csft",
"path": "/src/csft/_csft.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> sorted_data = data.sort_values(by, ascending=False)
return sorted_data.reset_index(drop=True)
def csft2data(path):
paths = make_file_list(path)
raw_data = make_raw_data(paths)
type_data = sum_data_by_type(raw_data)
sorted_data = sort_data_frame(type_data, column.SIZE)
return ... | code_fim | hard | {
"lang": "python",
"repo": "yanqd0/csft",
"path": "/src/csft/_csft.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: TheLabbingProject/django_mri path: /django_mri/analysis/specifications/fsl/eddy.py
"""
Input and output specification dictionaries for FSL's eddy_ script.
.. _eddy:
https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/eddy
"""
from django_analyses.models.input.definitions import (BooleanInputDefinition,
... | code_fim | hard | {
"lang": "python",
"repo": "TheLabbingProject/django_mri",
"path": "/django_mri/analysis/specifications/fsl/eddy.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>ption": "Path/name of file with the cnr_maps.",
},
"out_corrected": {
"type": FileOutputDefinition,
"description": "4D image file containing all the corrected volumes.",
},
"out_movement_over_time": {
"type": FileOutputDefinition,
"description": "Text file c... | code_fim | hard | {
"lang": "python",
"repo": "TheLabbingProject/django_mri",
"path": "/django_mri/analysis/specifications/fsl/eddy.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jvanz/salt path: /salt/_states/caasp_file.py
from __future__ import absolute_import
import salt.utils.files
def managed(name, **kwargs):
'''
Manage a given file, this function allows for a file to be downloaded from
the salt master and potentially run through a templating system.
... | code_fim | hard | {
"lang": "python",
"repo": "jvanz/salt",
"path": "/salt/_states/caasp_file.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> try:
# 2. if there is an existing file <name>, copy it to this <tmp_filename>
if __salt__['file.file_exists'](name):
debug('copying existing {} to temporary file {}'.format(name, tmp_filename))
try:
# copy the existing file to /tmp/<name>
... | code_fim | hard | {
"lang": "python",
"repo": "jvanz/salt",
"path": "/salt/_states/caasp_file.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>if __name__ == '__main__':
findme()<|fim_prefix|># repo: MiracleWong/PythonPractice path: /Python-Std-Libraries/click/click_pos.py
import click
@click.command()
@click.option('--pos', nargs=2, type=float)
def findme(pos):
<|fim_middle|> click.echo('%s / %s' % pos)
| code_fim | easy | {
"lang": "python",
"repo": "MiracleWong/PythonPractice",
"path": "/Python-Std-Libraries/click/click_pos.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MiracleWong/PythonPractice path: /Python-Std-Libraries/click/click_pos.py
import click
@click.command()
@click.option('--pos', nargs=2, type=float)
def findme(pos):
<|fim_suffix|>
if __name__ == '__main__':
findme()<|fim_middle|> click.echo('%s / %s' % pos)
| code_fim | easy | {
"lang": "python",
"repo": "MiracleWong/PythonPractice",
"path": "/Python-Std-Libraries/click/click_pos.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
if __name__ == '__main__':
findme()<|fim_prefix|># repo: MiracleWong/PythonPractice path: /Python-Std-Libraries/click/click_pos.py
import click
@click.command()
@click.option('--pos', nargs=2, type=float)
def findme(pos):
<|fim_middle|> click.echo('%s / %s' % pos)
| code_fim | easy | {
"lang": "python",
"repo": "MiracleWong/PythonPractice",
"path": "/Python-Std-Libraries/click/click_pos.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Epica-Wang/sequencing path: /sequencing/encoders/__init__.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Author: S<|fim_suffix|># No rights reserved.
#
from .rnn_encoder import StackBidirectionalRNNEncoder
__all__ = ['StackBidirectionalRNNEncoder']<|fim_middle|>word York
# GitHub: ht... | code_fim | medium | {
"lang": "python",
"repo": "Epica-Wang/sequencing",
"path": "/sequencing/encoders/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># No rights reserved.
#
from .rnn_encoder import StackBidirectionalRNNEncoder
__all__ = ['StackBidirectionalRNNEncoder']<|fim_prefix|># repo: Epica-Wang/sequencing path: /sequencing/encoders/__init__.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Author: S<|fim_middle|>word York
# GitHub: ht... | code_fim | medium | {
"lang": "python",
"repo": "Epica-Wang/sequencing",
"path": "/sequencing/encoders/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pysysops/opsmanager path: /virtualinfrastructure/apps.py
from django.apps import AppConfig
<|fim_suffix|> name = 'virtualinfrastructure'
verbose_name = 'virtual infrastructure'<|fim_middle|>
class VirtualInfrastructureConfig(AppConfig):
| code_fim | easy | {
"lang": "python",
"repo": "pysysops/opsmanager",
"path": "/virtualinfrastructure/apps.py",
"mode": "psm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pysysops/opsmanager path: /virtualinfrastructure/apps.py
from django.apps import AppConfig
<|fim_suffix|> name = 'virtualinfrastructure'
verbose_name = 'virtual infrastructure'<|fim_middle|>class VirtualInfrastructureConfig(AppConfig):
| code_fim | easy | {
"lang": "python",
"repo": "pysysops/opsmanager",
"path": "/virtualinfrastructure/apps.py",
"mode": "psm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_suffix|> name = 'virtualinfrastructure'
verbose_name = 'virtual infrastructure'<|fim_prefix|># repo: pysysops/opsmanager path: /virtualinfrastructure/apps.py
from django.apps import AppConfig
<|fim_middle|>
class VirtualInfrastructureConfig(AppConfig):
| code_fim | easy | {
"lang": "python",
"repo": "pysysops/opsmanager",
"path": "/virtualinfrastructure/apps.py",
"mode": "spm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: amkalsi/cmssw path: /TrackingTools/TrackFitters/python/KFTrajectoryFitterESProducer_cfi.py
import FWCore.ParameterSet.Config as cms
KFTrajectoryFitter = cms.ESProducer("KFTrajectoryFitterESP<|fim_suffix|> = cms.string('GlobalDetLayerGeometry'),
minHits = cms.i... | code_fim | medium | {
"lang": "python",
"repo": "amkalsi/cmssw",
"path": "/TrackingTools/TrackFitters/python/KFTrajectoryFitterESProducer_cfi.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>ator = cms.string('PropagatorWithMaterial'),
Updator = cms.string('KFUpdator'),
RecoGeometry = cms.string('GlobalDetLayerGeometry'),
minHits = cms.int32(3)
)<|fim_prefix|># repo: amkalsi/cmssw path: /TrackingTools/TrackFitters/python/KFTrajectoryFitterESProduce... | code_fim | medium | {
"lang": "python",
"repo": "amkalsi/cmssw",
"path": "/TrackingTools/TrackFitters/python/KFTrajectoryFitterESProducer_cfi.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: magma/magma path: /lte/gateway/python/magma/subscriberdb/tests/protocols/diameter/common.py
import asyncio
# pylint: disable=W0223
# We cannot create instances directly for transport we need them to be
# created by event loop so hacking this.
class MockTransport(asyncio.Transport):
def __... | code_fim | medium | {
"lang": "python",
"repo": "magma/magma",
"path": "/lte/gateway/python/magma/subscriberdb/tests/protocols/diameter/common.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> if self.open:
self.sent.append(data)
def close(self):
self.open = False
def flush(self):
while self.sent:
self.sent.pop()
def get_extra_info(self, name, default=None):
return self.extra.get(name, default)
def is_closing(self):
... | code_fim | medium | {
"lang": "python",
"repo": "magma/magma",
"path": "/lte/gateway/python/magma/subscriberdb/tests/protocols/diameter/common.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: andriisoldatenko/fan path: /uva_answers/10137/main.py
import sys
FILE = sys.stdin
# FILE = open('sample.in')
for line in FILE:
num_students = int(line.strip())
if num_students == 0:
break
expenses = []
for _ in range(num_students):
d, c = map(int, FILE.readline(... | code_fim | medium | {
"lang": "python",
"repo": "andriisoldatenko/fan",
"path": "/uva_answers/10137/main.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> used_sum = max(sum_above, sum_below)
print('${}.{:02d}'.format(used_sum // 100, used_sum % 100))<|fim_prefix|># repo: andriisoldatenko/fan path: /uva_answers/10137/main.py
import sys
FILE = sys.stdin
# FILE = open('sample.in')
for line in FILE:
num_students = int(line.strip())
if num_s... | code_fim | hard | {
"lang": "python",
"repo": "andriisoldatenko/fan",
"path": "/uva_answers/10137/main.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jhg03a/trafficcontrol path: /.github/actions/pr-to-update-go/pr_to_update_go/constants.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/li... | code_fim | hard | {
"lang": "python",
"repo": "jhg03a/trafficcontrol",
"path": "/.github/actions/pr-to-update-go/pr_to_update_go/constants.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>nal = 'GO_VERSION_FILE'
GIT_AUTHOR_EMAIL_TEMPLATE: Final = '{git_author_name}@users.noreply.github.com'
GO_REPO_NAME: Final = 'golang/go'
GO_VERSION_URL: Final = 'https://golang.org/dl/?mode=json'
RELEASE_PAGE_URL: Final = 'https://golang.org/doc/devel/release.html'<|fim_prefix|># repo: jhg03a/trafficcont... | code_fim | hard | {
"lang": "python",
"repo": "jhg03a/trafficcontrol",
"path": "/.github/actions/pr-to-update-go/pr_to_update_go/constants.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>the License.
#
from typing import Final
ENV_GIT_AUTHOR_NAME: Final = 'GIT_AUTHOR_NAME'
ENV_GITHUB_REPOSITORY: Final = 'GITHUB_REPOSITORY'
ENV_GITHUB_REPOSITORY_OWNER: Final = 'GITHUB_REPOSITORY_OWNER'
ENV_GITHUB_TOKEN: Final = 'GITHUB_TOKEN'
ENV_GO_VERSION_FILE: Final = 'GO_VERSION_FILE'
GIT_AUTHOR_EMAIL... | code_fim | hard | {
"lang": "python",
"repo": "jhg03a/trafficcontrol",
"path": "/.github/actions/pr-to-update-go/pr_to_update_go/constants.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> ".radiomessages": [],
".bush": [],
".grass": [],
".monstertype": ["^(.+/)?dialog/.+$"],
#".monsterskill": ["^label$"],
".aimission": [".*Text$"],
".questtemplate": ["^.+Text(/[^0-9]+([0-9]+/1)?/[0-9]+)?$",
"^scriptConfig/(descriptions|.+Note|parcel(Name|De... | code_fim | hard | {
"lang": "python",
"repo": "ProjectSky/FrackinUniverse-sChinese-Project",
"path": "/script/tools/parser_settings.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ProjectSky/FrackinUniverse-sChinese-Project path: /script/tools/parser_settings.py
from re import compile as regex
foi = {
"*": [".*escription$", "^(.+/)?[Tt]ext$", "^(.+/)?[Dd]ialog/[^/]+/[^/]+/.*[0-9]+$",
"^(.+/)?(lbl)?([sS]ub)?[tT]itle(/value)?$", "^(.+/)+caption$", "^(.+/)?lab... | code_fim | hard | {
"lang": "python",
"repo": "ProjectSky/FrackinUniverse-sChinese-Project",
"path": "/script/tools/parser_settings.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dhairyaagrawal/SmartMirror path: /WebServer/Users/migrations/0005_auto_20190321_1145.py
# Generated by Django 2.1.5 on 2019-03-21 16:45
from django.db import migrations, models
import django.db.models.deletion
import django.utils.timezone
<|fim_suffix|> operations = [
migrations.Cre... | code_fim | hard | {
"lang": "python",
"repo": "dhairyaagrawal/SmartMirror",
"path": "/WebServer/Users/migrations/0005_auto_20190321_1145.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> operations = [
migrations.CreateModel(
name='Stock',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('Ticker', models.CharField(choices=[('0', 'AAPL'), ('1', 'MSFT'), ('2', 'FB'... | code_fim | hard | {
"lang": "python",
"repo": "dhairyaagrawal/SmartMirror",
"path": "/WebServer/Users/migrations/0005_auto_20190321_1145.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> output = abstract.SMA(df)
self.assertTrue(isinstance(output, pd.Series))
self.assertFalse(output.empty)
self.assertTrue(pd.isna(output[0]))
self.assertFalse(pd.isna(output[-1]))
self.assertEqual(close.shape, output.shape)
... | code_fim | hard | {
"lang": "python",
"repo": "alexanu/atpy",
"path": "/tests/data/test_talib.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: alexanu/atpy path: /tests/data/test_talib.py
import unittest
import pandas as pd
import talib
from talib import abstract
from pandas.util.testing import assert_index_equal
from atpy.data.iqfeed.iqfeed_history_provider import IQFeedHistoryProvider, BarsFilter
class TestTALib(unittest.TestCase)... | code_fim | hard | {
"lang": "python",
"repo": "alexanu/atpy",
"path": "/tests/data/test_talib.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> with IQFeedHistoryProvider() as provider:
df = provider.request_data(BarsFilter(ticker="AAPL", interval_len=300, interval_type='s', max_bars=1000), sync_timestamps=False)
close = df['close']
output = abstract.SMA(df)
self.assertTrue(isinstance(outpu... | code_fim | hard | {
"lang": "python",
"repo": "alexanu/atpy",
"path": "/tests/data/test_talib.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: gortali/EZyRB path: /tests/test_snapshots.py
from unittest import TestCase
import unittest
import numpy as np
import filecmp
import os
import sys
from ezyrb.snapshots import Snapshots
class TestSnapshots(TestCase):
def test_snapshots(self):
snaps = Snapshots(output_name='Pressure', ... | code_fim | hard | {
"lang": "python",
"repo": "gortali/EZyRB",
"path": "/tests/test_snapshots.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_files(self):
snaps = Snapshots(output_name='Pressure', dformat="point")
snaps.append("tests/test_datasets/matlab_00.vtk")
snaps.append("tests/test_datasets/matlab_01.vtk")
expected_files = [
"tests/test_datasets/matlab_00.vtk",
"tests/te... | code_fim | hard | {
"lang": "python",
"repo": "gortali/EZyRB",
"path": "/tests/test_snapshots.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> snaps = Snapshots(output_name='Pressure', dformat="point")
snaps.append("tests/test_datasets/matlab_00.vtk")
snaps.append("tests/test_datasets/matlab_01.vtk")
snaps.append("tests/test_datasets/matlab_02.vtk")
snaps.append("tests/test_datasets/matlab_03.vtk")
... | code_fim | hard | {
"lang": "python",
"repo": "gortali/EZyRB",
"path": "/tests/test_snapshots.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Daetalus/pyston path: /test/extra/paste_test.py
import os, sys, subprocess
sys.path.append(os.path.dirname(__file__) + "/../lib")
from test_helper import create_virtenv, run_test
ENV_NAME = "paste_test_env_" + os.path.basename(sys.executable)
PYTHON_EXE = os.path.abspath(os.path.join(ENV_NAME, ... | code_fim | hard | {
"lang": "python",
"repo": "Daetalus/pyston",
"path": "/test/extra/paste_test.py",
"mode": "psm",
"license": "Python-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>print ">> "
print ">> Running paste tests..."
print ">> "
# current cpython also does not pass all tests. (9 failed, 127 passed)
# the additional test we fail are because:
# - we have str.__iter__
# - no sys.settrace
# - no shiftjis encoding
# - slightly different error messages
expected = [{"failed" : 2... | code_fim | hard | {
"lang": "python",
"repo": "Daetalus/pyston",
"path": "/test/extra/paste_test.py",
"mode": "spm",
"license": "Python-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> = logging.getLogger()
logger.debug('often makes a very good meal of %s', 'visiting tourists')<|fim_prefix|># repo: Mason-Lin/python_playground path: /buildin_modules/logging/try3.py
import logging
from logging.config import fileC<|fim_middle|>onfig
fileConfig('logging_config.ini')
logger | code_fim | easy | {
"lang": "python",
"repo": "Mason-Lin/python_playground",
"path": "/buildin_modules/logging/try3.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Mason-Lin/python_playground path: /buildin_modules/logging/try3.py
import logging
from logging.config import fileConfig
fileConfig('logging_config.ini')
logger<|fim_suffix|>s a very good meal of %s', 'visiting tourists')<|fim_middle|> = logging.getLogger()
logger.debug('often make | code_fim | easy | {
"lang": "python",
"repo": "Mason-Lin/python_playground",
"path": "/buildin_modules/logging/try3.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>s a very good meal of %s', 'visiting tourists')<|fim_prefix|># repo: Mason-Lin/python_playground path: /buildin_modules/logging/try3.py
import logging
from logging.config import fileConfig
fileConfig('logging_config.ini')
logger<|fim_middle|> = logging.getLogger()
logger.debug('often make | code_fim | easy | {
"lang": "python",
"repo": "Mason-Lin/python_playground",
"path": "/buildin_modules/logging/try3.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: VIZ-Blockchain/viz-python-lib path: /viz/converter.py
from .amount import Amount
from .instance import shared_blockchain_instance
class Converter(object):
"""
Converter simplifies the handling of different metrics of the blockchain.
:param Steemd blockchain_instance: Steemd() insta... | code_fim | hard | {
"lang": "python",
"repo": "VIZ-Blockchain/viz-python-lib",
"path": "/viz/converter.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def core_to_shares(self, amount):
"""
Obtain SHARES from CORE tokens.
:param number amount: amount of CORE tokens to convert
"""
return amount / self.core_per_share()<|fim_prefix|># repo: VIZ-Blockchain/viz-python-lib path: /viz/converter.py
from .amount impor... | code_fim | hard | {
"lang": "python",
"repo": "VIZ-Blockchain/viz-python-lib",
"path": "/viz/converter.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: asaparov/archivist path: /make_docs.py
.attrib['class'] = 'codeblock'
elif child.tag == 'codeline':
child.tag = 'span'
child.attrib['class'] = 'codeline'
codelines.append(child)
elif child.tag == 'highlight':
child.tag = 'span'
child.attrib['class'] = 'highlight ' + child.attri... | code_fim | hard | {
"lang": "python",
"repo": "asaparov/archivist",
"path": "/make_docs.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>def parse_typedef(member):
type = member.find('type')
name = member.find('name').text
args = member.find('argsstring')
description = member.find('detaileddescription')
location_attrib = member.find('location').attrib
location = Location(location_attrib['bodyfile'], int(location_attrib['bodystart']),... | code_fim | hard | {
"lang": "python",
"repo": "asaparov/archivist",
"path": "/make_docs.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: asaparov/archivist path: /make_docs.py
ompounddef/compoundname').text)
description_element = tree.find('compounddef/detaileddescription')
class_description = description_element
location_attrib = tree.find('compounddef/location').attrib
location = Location(location_attrib['bodyfile'], int(loc... | code_fim | hard | {
"lang": "python",
"repo": "asaparov/archivist",
"path": "/make_docs.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: el-ideal-ideas/MocaTwitterUtils path: /src/moca_modules/moca_core/atexit.py
# this will be executed at system exit.
# -- Imports --------------------------------------------------------------------------
from .moca_variables import IS_DEBUG
<|fim_suffix|>if IS_DEBUG:
print(f'------ Moca Mo... | code_fim | medium | {
"lang": "python",
"repo": "el-ideal-ideas/MocaTwitterUtils",
"path": "/src/moca_modules/moca_core/atexit.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># -------------------------------------------------------------------------- At Exit --<|fim_prefix|># repo: el-ideal-ideas/MocaTwitterUtils path: /src/moca_modules/moca_core/atexit.py
# this will be executed at system exit.
# -- Imports ------------------------------------------------------------------... | code_fim | medium | {
"lang": "python",
"repo": "el-ideal-ideas/MocaTwitterUtils",
"path": "/src/moca_modules/moca_core/atexit.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mathieucaroff/metravision path: /src/util/contexttool.py
import contextlib
@contextlib.contextmanager
def neutralContextManager():
"""This context manager has no effect.
<|fim_suffix|>
@contextlib.contextmanager
def interactPostMortemUpon(exception=Exception):
try:
yield
exc... | code_fim | hard | {
"lang": "python",
"repo": "mathieucaroff/metravision",
"path": "/src/util/contexttool.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>@contextlib.contextmanager
def interactPostMortemUpon(exception=Exception):
try:
yield
except exception: # pylint: disable=broad-except
interactPostMortem()<|fim_prefix|># repo: mathieucaroff/metravision path: /src/util/contexttool.py
import contextlib
@contextlib.contextmanager
... | code_fim | hard | {
"lang": "python",
"repo": "mathieucaroff/metravision",
"path": "/src/util/contexttool.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> try:
yield
except exception: # pylint: disable=broad-except
import pdb, traceback
traceback.print_exc()
pdb.post_mortem()
# https://stackoverflow.com/q/242485/starting-python-debugger-automatically-on-error
def interactPostMortem():
import code, traceback, sys... | code_fim | medium | {
"lang": "python",
"repo": "mathieucaroff/metravision",
"path": "/src/util/contexttool.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|># Final sequence
InitialStep = cms.Sequence(iterativeInitialSeeds
+initialStepTrackCandidates
+initialStepTracks
+firstStepPrimaryVerticesBeforeMixing
+initialSte... | code_fim | hard | {
"lang": "python",
"repo": "amkalsi/cmssw",
"path": "/FastSimulation/Tracking/python/IterativeInitialStep_cff.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: amkalsi/cmssw path: /FastSimulation/Tracking/python/IterativeInitialStep_cff.py
import FWCore.ParameterSet.Config as cms
### ITERATIVE TRACKING: STEP 0 ###
# seeding
import FastSimulation.Tracking.TrajectorySeedProducer_cfi
iterativeInitialSeeds = FastSimulation.Tracking.TrajectorySeedProduc... | code_fim | hard | {
"lang": "python",
"repo": "amkalsi/cmssw",
"path": "/FastSimulation/Tracking/python/IterativeInitialStep_cff.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> to_scrape_items = []
python_title = []
python_results = []
@classmethod
def setUpClass(cls):
process = CrawlerProcess()
crawler_to_scrape = Crawler(ToScrapeSpider)
crawler_python = Crawler(PythonSpider)
process.crawl(crawler_to_scrape)
process.c... | code_fim | hard | {
"lang": "python",
"repo": "vyvojer/scrapy-async-selenium",
"path": "/tests/test-middlewares.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: vyvojer/scrapy-async-selenium path: /tests/test-middlewares.py
import unittest
from scrapy import Spider
from scrapy.http import Response
from scrapy.crawler import CrawlerProcess, Crawler
from scrapy.signals import item_scraped
from selenium.webdriver.remote.webdriver import WebDriver
from sel... | code_fim | hard | {
"lang": "python",
"repo": "vyvojer/scrapy-async-selenium",
"path": "/tests/test-middlewares.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Parse map roads and junctions
roads, junctions = get_roads_and_junctions("borregasave.xodr")
road_points, _ = interpolate_roads(roads)
# Setup simulation
sim = Simulator()
# Find random position on any junction
for junction in junctions:
for connection in junction.c... | code_fim | hard | {
"lang": "python",
"repo": "TrackerSB/IEEEAITestChallenge2021",
"path": "/playground/lgsvl/executeRandomTests/main.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: TrackerSB/IEEEAITestChallenge2021 path: /playground/lgsvl/executeRandomTests/main.py
from queue import Queue
from lgsvl import Simulator, dreamview
from shapely.geometry import LineString, Point
from shapely.ops import unary_union
sim = None
roads = None
road_points = None
junctions = None
allo... | code_fim | hard | {
"lang": "python",
"repo": "TrackerSB/IEEEAITestChallenge2021",
"path": "/playground/lgsvl/executeRandomTests/main.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def _main() -> None:
from common.geometry import interpolate_roads
from common.open_drive_reader import get_roads_and_junctions
global sim, roads, junctions, road_points
# Parse map roads and junctions
roads, junctions = get_roads_and_junctions("borregasave.xodr")
road_points, _ =... | code_fim | hard | {
"lang": "python",
"repo": "TrackerSB/IEEEAITestChallenge2021",
"path": "/playground/lgsvl/executeRandomTests/main.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def setUp(self) -> None:
self.state = One()
self.expected_matrix = np.array([0.0, 1.0])
def test_one_matrix(self):
self.assertTrue(np.allclose(self.state.matrix, self.expected_matrix))
def test_one_tensor(self):
self.assertTrue(np.allclose(self.state.node.te... | code_fim | hard | {
"lang": "python",
"repo": "jvscursulim/tensor-network-simulator",
"path": "/tests/test_states.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.assertTrue(np.allclose(self.state.matrix, self.expected_matrix))
def test_zero_tensor(self):
self.assertTrue(np.allclose(self.state.node.tensor, self.expected_matrix))
class TestOne(unittest.TestCase):
def setUp(self) -> None:
self.state = One()
self.expect... | code_fim | medium | {
"lang": "python",
"repo": "jvscursulim/tensor-network-simulator",
"path": "/tests/test_states.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jvscursulim/tensor-network-simulator path: /tests/test_states.py
import unittest
import numpy as np
import tensornetwork as tn
from tsim.states import Zero, One
<|fim_suffix|> def test_zero_matrix(self):
self.assertTrue(np.allclose(self.state.matrix, self.expected_matrix))
def ... | code_fim | medium | {
"lang": "python",
"repo": "jvscursulim/tensor-network-simulator",
"path": "/tests/test_states.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> return nodes
def checkCorrectednessTree(nodes):
'''
This function takes as input any of the tree-data structures returned by the buildTreeUpDown
or the buildTreeGroundUp functions and, for each node in the tree, it prints their left-
and right-hand children. This basically serves to ... | code_fim | hard | {
"lang": "python",
"repo": "abunuwas/python-trees",
"path": "/nodes.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: abunuwas/python-trees path: /nodes.py
def buildTreeGroundUp(tree):
'''
This function takes as input a tree in the form of a list of lists, in which each row
is a list where every element is an independent member of the list. The function returns a
dictionary of nodes from the tre... | code_fim | hard | {
"lang": "python",
"repo": "abunuwas/python-trees",
"path": "/nodes.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: flosell/trailscraper path: /trailscraper/s3_download.py
"""Functions to download CloudTrail Logs from S3"""
import concurrent.futures
import datetime
import logging
import os
import threading
import boto3
import pytz
from trailscraper.collection_utils import consume
def _s3_key_prefix(prefix,... | code_fim | hard | {
"lang": "python",
"repo": "flosell/trailscraper",
"path": "/trailscraper/s3_download.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def _list_files_to_download(current_prefix):
files_to_download = []
logging.info("Listing %s", current_prefix)
paginator = get_s3_client().get_paginator('list_objects')
for result in paginator.paginate(Bucket=bucket, Prefix=current_prefix, Delimiter="/"):
if... | code_fim | hard | {
"lang": "python",
"repo": "flosell/trailscraper",
"path": "/trailscraper/s3_download.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> if not hasattr(thread_local, "s3_client"):
thread_local.s3_client = boto3.client('s3')
return thread_local.s3_client
def _download_file(key):
target_file = target_dir + os.sep + key
logging.info("Downloading %s/%s to %s", bucket, key, target_file)
#... | code_fim | hard | {
"lang": "python",
"repo": "flosell/trailscraper",
"path": "/trailscraper/s3_download.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: makandok/datawinners path: /datawinners/main/management/commands/recreate_questionnaire_templates.py
from django.core.management.base import BaseCommand
from datawinners.main.initial_template_creation import create_questionnaire_templates
class Command(BaseCommand):
<|fim_suffix|> print ... | code_fim | easy | {
"lang": "python",
"repo": "makandok/datawinners",
"path": "/datawinners/main/management/commands/recreate_questionnaire_templates.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> print "Creating questionnnaire templates..."
create_questionnaire_templates()<|fim_prefix|># repo: makandok/datawinners path: /datawinners/main/management/commands/recreate_questionnaire_templates.py
from django.core.management.base import BaseCommand
from datawinners.main.initial_templat... | code_fim | medium | {
"lang": "python",
"repo": "makandok/datawinners",
"path": "/datawinners/main/management/commands/recreate_questionnaire_templates.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>class Page(models.Model):
id = models.BigAutoField(primary_key=True)
title = models.CharField(max_length=128)
desc = models.TextField(max_length=1024, blank=True, null=True)
emailTemplate = models.CharField(max_length=128, blank=True, null=True)
startTime = models.DateTimeField('startT... | code_fim | hard | {
"lang": "python",
"repo": "redamancyguy/LoremSurvey",
"path": "/question/models.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: redamancyguy/LoremSurvey path: /question/models.py
from django.db import models
from pymongo import MongoClient
from user.models import User
class Respondent(models.Model):
sid = models.BigIntegerField()
name = models.CharField(max_length=32)
school = models.CharField(max_length=32... | code_fim | hard | {
"lang": "python",
"repo": "redamancyguy/LoremSurvey",
"path": "/question/models.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>class Discriminator(nn.Module):
def __init__(self, input_shape):
super(Discriminator, self).__init__()
self.input_shape = input_shape
in_channels, in_height, in_width = self.input_shape
patch_h, patch_w = int(in_height / 2 ** 4), int(in_width / 2 ** 4)
self.out... | code_fim | hard | {
"lang": "python",
"repo": "Ascend/ModelZoo-PyTorch",
"path": "/PyTorch/dev/cv/image_classification/Pix2Pix_ID0331_for_PyTorch/implementations/esrgan/models.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def forward(self, x):
inputs = x
for block in self.blocks:
out = block(inputs)
inputs = torch.cat([inputs, out], 1)
return out.mul(self.res_scale) + x
class ResidualInResidualDenseBlock(nn.Module):
def __init__(self, filters, res_scale=0.2):
... | code_fim | hard | {
"lang": "python",
"repo": "Ascend/ModelZoo-PyTorch",
"path": "/PyTorch/dev/cv/image_classification/Pix2Pix_ID0331_for_PyTorch/implementations/esrgan/models.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Ascend/ModelZoo-PyTorch path: /PyTorch/dev/cv/image_classification/Pix2Pix_ID0331_for_PyTorch/implementations/esrgan/models.py
#
# BSD 3-Clause License
#
# Copyright (c) 2017 xxxx
# All rights reserved.
# Copyright 2021 Huawei Technologies Co., Ltd
#
# Redistribution and use in source and binary ... | code_fim | hard | {
"lang": "python",
"repo": "Ascend/ModelZoo-PyTorch",
"path": "/PyTorch/dev/cv/image_classification/Pix2Pix_ID0331_for_PyTorch/implementations/esrgan/models.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: J535D165/datahugger path: /datahugger/__main__.py
"""Powerful datahugger command line interface
Example:
python -m datahugger https://doi.org/10.5061/dryad.31zcrjdm5 $(mktemp -d)
"""
import argparse
import logging
from datahugger import __version__
from datahugger import get
from datahug... | code_fim | hard | {
"lang": "python",
"repo": "J535D165/datahugger",
"path": "/datahugger/__main__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # version
parser.add_argument(
"-V",
"--version",
action="version",
version=f"%(prog)s {__version__}",
)
args, _ = parser.parse_known_args()
logging.basicConfig(level=args.log_level)
try:
# Start downloading
get(
args.u... | code_fim | hard | {
"lang": "python",
"repo": "J535D165/datahugger",
"path": "/datahugger/__main__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> parser.add_argument(
"-f", "--force-download", dest="force_download", action="store_true"
)
parser.set_defaults(force_download=False)
parser.add_argument("--no-unzip", dest="unzip", action="store_false")
parser.set_defaults(unzip=True)
parser.add_argument("--no-progress",... | code_fim | hard | {
"lang": "python",
"repo": "J535D165/datahugger",
"path": "/datahugger/__main__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Runs in HW|C|F for all filters of Layer 3
self.debug_message('=== Layer 2.1: PW ===')
pw2_start_indices = AttrDict({'hin': hin_2, 'win': win_2, 'cin': cin_2,
'hout': start_hout_idx, 'wout': star... | code_fim | hard | {
"lang": "python",
"repo": "sfu-arch/TensorBricks",
"path": "/TB-scheduler/dnn_schedules/cross_layer/hwcf_fire_two_layer.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sfu-arch/TensorBricks path: /TB-scheduler/dnn_schedules/cross_layer/hwcf_fire_two_layer.py
next_next_layer = items[idx + 2][1]
if current_layer.attr_type == 'PW' and next_layer.attr_type == 'PW' \
and next_next_layer.attr_type == '3d':
... | code_fim | hard | {
"lang": "python",
"repo": "sfu-arch/TensorBricks",
"path": "/TB-scheduler/dnn_schedules/cross_layer/hwcf_fire_two_layer.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> end_hin_idx = min(hin + first_layer_hw_params.hxx, first_layer.Hin) - 1
num_hin = end_hin_idx - hin + 1
# In case of last values -- need to add padding information,
# Also num_hin - layer_attr.Kx has to be divisible - This depends on hx and wx values
... | code_fim | hard | {
"lang": "python",
"repo": "sfu-arch/TensorBricks",
"path": "/TB-scheduler/dnn_schedules/cross_layer/hwcf_fire_two_layer.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: gaoming714/arkham path: /util/log_logging.py
import os
import sys
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
# BASE_DIR = os.path.dirname(os.getcwd()) # for jupyter
sys.path.append(BASE_DIR)
from datetime import datetime, timedelta
import time
import pytz
import loggi... | code_fim | hard | {
"lang": "python",
"repo": "gaoming714/arkham",
"path": "/util/log_logging.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return logger
if __name__ == '__main__':
LOG = haunter()
LOG.debug('debug message')
LOG.info('info message')
LOG.warning('warning message')
LOG.error('error message')
LOG.critical('critical message')<|fim_prefix|># repo: gaoming714/arkham path: /util/log_logging.py
import os... | code_fim | medium | {
"lang": "python",
"repo": "gaoming714/arkham",
"path": "/util/log_logging.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ApocalypseMac/LeetCode path: /Code/py3/archived/51-100/59.py
class Solution:
def generateMatrix(self, n: int) -> List[List[int]]:
layer = n // 2
result = []
for _ in range(n):
result.append([0] * n)
num = <|fim_suffix|>e(length):
res... | code_fim | hard | {
"lang": "python",
"repo": "ApocalypseMac/LeetCode",
"path": "/Code/py3/archived/51-100/59.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>m += 1
for j in range(length):
result[n - 1 - i - j][i] = num
num += 1
if n & 1:
result[layer][layer] = num
return result<|fim_prefix|># repo: ApocalypseMac/LeetCode path: /Code/py3/archived/51-100/59.py
class Solution:
def gener... | code_fim | hard | {
"lang": "python",
"repo": "ApocalypseMac/LeetCode",
"path": "/Code/py3/archived/51-100/59.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> ks_done = set()
for iev in range(len(runs)):
run = np.uint32(runs[iev])
lumi = np.uint32(lumis[iev])
k = (run, lumi)
if k not in ks_done:
ks_done.add(k)
tot_lumi[0] += index.get(k, 0)
class LumiMask:
"""H... | code_fim | hard | {
"lang": "python",
"repo": "CoffeaTeam/coffea",
"path": "/src/coffea/lumi_tools/lumi_tools.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: CoffeaTeam/coffea path: /src/coffea/lumi_tools/lumi_tools.py
import json
import awkward as ak
from numba import types
from numba.typed import Dict
from ..util import numba
from ..util import numpy as np
class LumiData:
r"""Holds per-lumiSection integrated lumi values
Parameters
-... | code_fim | hard | {
"lang": "python",
"repo": "CoffeaTeam/coffea",
"path": "/src/coffea/lumi_tools/lumi_tools.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: es94129/hierarchical-explanation path: /hiexpl/nns/linear_model.py
from torch import nn
import time
import glob
import torch.optim as O
from utils.reader import *
from utils.tacred_f1 import score as f1_score
from sklearn.metrics import accuracy_score
class BOWRegression(nn.Module):
def __... | code_fim | hard | {
"lang": "python",
"repo": "es94129/hierarchical-explanation",
"path": "/hiexpl/nns/linear_model.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # switch model to evaluation mode
model.eval()
dev_iter.init_epoch()
avg_dev_loss = 0
# calculate accuracy on validation set
n_dev_correct, dev_loss = 0, 0
truth_dev, pred_dev = [], []
... | code_fim | hard | {
"lang": "python",
"repo": "es94129/hierarchical-explanation",
"path": "/hiexpl/nns/linear_model.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kevin-ledinh/decartes path: /scrapyExample/scrapyExample/scrapyExample/spiders/tesco_spider.py
import scrapy
import datetime
import json
from scrapyExample.items import BabyFoodItem
class TescoSpider(scrapy.Spider):
name = "TescoSpider"
storeName = "Tesco"
urlJsonPath = "./urlList/te... | code_fim | hard | {
"lang": "python",
"repo": "kevin-ledinh/decartes",
"path": "/scrapyExample/scrapyExample/scrapyExample/spiders/tesco_spider.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # itemId = product.xpath('.//div[contains(@class, "tile-content")]/@data-auto-id').get()
if currentItem['sku_no'] in json_data:
currentItem['product_img'] = json_data[currentItem['sku_no']]['serializedData']['product']['defaultImageUrl']
# currentItem['p... | code_fim | hard | {
"lang": "python",
"repo": "kevin-ledinh/decartes",
"path": "/scrapyExample/scrapyExample/scrapyExample/spiders/tesco_spider.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> pricePerWeight = product.xpath('.//div[contains(@class, "price-per-quantity-weight")]')
if len(pricePerWeight) > 0 :
currentItem['weightUnitprice'] = pricePerWeight.xpath('.//span[contains(@class, "currency")]//text()').get() + pricePerWeight.xpath('.//span[contains... | code_fim | hard | {
"lang": "python",
"repo": "kevin-ledinh/decartes",
"path": "/scrapyExample/scrapyExample/scrapyExample/spiders/tesco_spider.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: all-umass/superman-web path: /backend/handlers/filterplots.py
from __future__ import absolute_import, print_function, division
import ast
import logging
import numpy as np
import os
from collections import namedtuple
from itertools import cycle, islice
from matplotlib import rcParams
from matplot... | code_fim | hard | {
"lang": "python",
"repo": "all-umass/superman-web",
"path": "/backend/handlers/filterplots.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Make a new skinny subplot, then cover it with the legend.
# This allows an out-of-axis legend without it getting cut off.
# Uses the trick from http://stackoverflow.com/a/22885327/10601
gs = GridSpec(1, 2, width_ratios=(3, 1), wspace=0.02)
ax.set_position(gs[0].get_position(fig))
... | code_fim | hard | {
"lang": "python",
"repo": "all-umass/superman-web",
"path": "/backend/handlers/filterplots.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: trishankkarthik/sizeof-uptane path: /TimeServerModule.py
#!/usr/bin/env python3
# 2nd-party imports.
import CommonModule
def Tokens(num_of_ecus=1):
Token = CommonModule.INTEGER_SIZE_IN_BYTES
CommonModule.log('Token', Token)
CommonModule.log('# of ECUs', num_of_ecus, unit=' ECUs')
token... | code_fim | hard | {
"lang": "python",
"repo": "trishankkarthik/sizeof-uptane",
"path": "/TimeServerModule.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> '''https://github.com/uptane/asn1/blob/master/TimeServerModule.asn1'''
numberOfTokens = CommonModule.LENGTH_SIZE_IN_BYTES
tokens = Tokens(num_of_ecus=num_of_ecus)
sequenceOfTokens = numberOfTokens + tokens
CommonModule.log('SequenceOfTokens', sequenceOfTokens)
return sequenceOfTokens
def Cur... | code_fim | medium | {
"lang": "python",
"repo": "trishankkarthik/sizeof-uptane",
"path": "/TimeServerModule.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
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