text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_prefix|># repo: duncanhayward/chemistry-cmislib path: /src/tests/test_type.py
# -*- coding: utf-8 -*-
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regardi... | code_fim | hard | {
"lang": "python",
"repo": "duncanhayward/chemistry-cmislib",
"path": "/src/tests/test_type.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> cmisClient = CmisClient(self.url, self.user, self.pwd,
binding=self.binding,
**self.ext_args)
repo = cmisClient.getDefaultRepository()
typeDefs = repo.getTypeChildren()
folderDef = None
for typeDef in t... | code_fim | hard | {
"lang": "python",
"repo": "duncanhayward/chemistry-cmislib",
"path": "/src/tests/test_type.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> H = nx.compose(G_, G_cache_)
ccs = nx.connected_component_subgraphs(H)
for cc in ccs:
cc_nodes = cc.nodes()
cc_len = len(cc_nodes)
if cc_len < avg_:
small_ccs += cc_nodes
elif cc_len >= threshold:
event_exists = 1
H.remove_nodes_from... | code_fim | hard | {
"lang": "python",
"repo": "antonia42/licno",
"path": "/code/detect_events.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: antonia42/licno path: /code/detect_events.py
import sys
import networkx as nx
import numpy as np
reload(sys)
sys.setdefaultencoding('utf-8')
def detect_events(G_, G_cache_, theta_, avg_, std_, cc_lengths):
"""
Function to detect connected components that indicate an event or and event... | code_fim | medium | {
"lang": "python",
"repo": "antonia42/licno",
"path": "/code/detect_events.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def button1():
window.filename = None
filename = None
window.filename = tkFileDialog.askopenfilename(parent=window,initialdir = "/",
title = "Select file",
... | code_fim | hard | {
"lang": "python",
"repo": "Investigative-methods/Emotion-Detection",
"path": "/EmotionDetection/Testing.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Investigative-methods/Emotion-Detection path: /EmotionDetection/Testing.py
from Tkinter import *
from Tkinter import *
import Tkinter, Tkconstants, tkFileDialog
import Tkinter as tk
import tkMessageBox
from EmotionDetection import WordMap
from EmotionDetection import EvaluateText
from EmotionDete... | code_fim | hard | {
"lang": "python",
"repo": "Investigative-methods/Emotion-Detection",
"path": "/EmotionDetection/Testing.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> answer = self.MessageBox(window=window)
text = txt_file.get()
values = value_file.get()
if answer=='yes' and text != '':
window.destroy()
try:
with codecs.open(text, 'r', encoding='utf-8', erro... | code_fim | hard | {
"lang": "python",
"repo": "Investigative-methods/Emotion-Detection",
"path": "/EmotionDetection/Testing.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ProfessorSean/Kasutamaiza path: /upcfcardsearch/c23.py
import discord
from discord.ext import commands
from discord.utils import get
class c23(commands.Cog, name="c23"):
def __init__(self, bot: commands.Bot):
<|fim_suffix|> embed.add_field(name='Status (Archetype)', value='Casual:3/T... | code_fim | hard | {
"lang": "python",
"repo": "ProfessorSean/Kasutamaiza",
"path": "/upcfcardsearch/c23.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> embed.add_field(name='Status (Archetype)', value='Casual:3/Tournament:3 (Temporal)', inline=True)
embed.add_field(name='Type (Attribute)', value='Rock/Fusion/Effect (EARTH)', inline=False)
embed.add_field(name='Level (ATK/DEF)', value='9 (3000/3000)', inline=False)
embed.ad... | code_fim | hard | {
"lang": "python",
"repo": "ProfessorSean/Kasutamaiza",
"path": "/upcfcardsearch/c23.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> operations = [
migrations.CreateModel(
name='PhoneModel',
fields=[
('id', models.AutoField(primary_key=True, serialize=False, auto_created=True, verbose_name='ID')),
('phone_number', models.CharField(max_length=12, blank=True, validators=... | code_fim | hard | {
"lang": "python",
"repo": "ahl54/Tracker",
"path": "/data_tracker/tracker/migrations/backup_migrations/0008_auto_20151202_1138.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ahl54/Tracker path: /data_tracker/tracker/migrations/backup_migrations/0008_auto_20151202_1138.py
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
import django.core.validators
class Migration(migrations.Migration):
<|fim_suffix|> oper... | code_fim | hard | {
"lang": "python",
"repo": "ahl54/Tracker",
"path": "/data_tracker/tracker/migrations/backup_migrations/0008_auto_20151202_1138.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: apache/airflow path: /tests/system/providers/google/cloud/compute/example_compute_igm.py
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright owne... | code_fim | hard | {
"lang": "python",
"repo": "apache/airflow",
"path": "/tests/system/providers/google/cloud/compute/example_compute_igm.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Added to check for idempotence
# [START howto_operator_gce_insert_igm_no_project_id]
gce_igm_insert2 = ComputeEngineInsertInstanceGroupManagerOperator(
task_id="gcp_compute_create_group_task_2",
zone=LOCATION,
body=INSTANCE_GROUP_MANAGER_BODY,
)
# [END howto_o... | code_fim | hard | {
"lang": "python",
"repo": "apache/airflow",
"path": "/tests/system/providers/google/cloud/compute/example_compute_igm.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jseutter/recording-web-proxy path: /server2.py
#!/usr/bin/env python3
"""
A simple process that proxies HTTP requests to a backend
server, inserting headers along the way.
"""
# Credit to the simple-python-webserver github project for inspiration.
import argparse
from http.client import parse_he... | code_fim | hard | {
"lang": "python",
"repo": "jseutter/recording-web-proxy",
"path": "/server2.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
if __name__ == "__main__":
parser = argparse.ArgumentParser(description='Fake out repose')
parser.add_argument('lport', type=int, help='port to listen on')
parser.add_argument('bport', type=int, help='backend port to forward requests to')
args = parser.parse_args()
MyHTTPHandler.back... | code_fim | hard | {
"lang": "python",
"repo": "jseutter/recording-web-proxy",
"path": "/server2.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> change = variables[0] + "f"
code = code.replace(change, "If")
return code
def replace_previous(user, code, is_alt):
"""function replace_previous This function changes the previous lesson code
Args:
user: user model using tutor
code: code that user submitted in la... | code_fim | hard | {
"lang": "python",
"repo": "awolste/beginToReason2",
"path": "/tutor/py_helper_functions/tutor_helper.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: awolste/beginToReason2 path: /tutor/py_helper_functions/tutor_helper.py
"""
This module contains our Django helper functions for the "tutor" application.
"""
import json
from django.utils import timezone
from django.contrib.auth.models import User
from accounts.models import UserInformation
from ... | code_fim | hard | {
"lang": "python",
"repo": "awolste/beginToReason2",
"path": "/tutor/py_helper_functions/tutor_helper.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> lesson_to_log = LessonLog.objects.create(user=user,
time_stamp=timezone.now(),
lesson_set_key=lesson_set,
lesson_key=lesson,
... | code_fim | hard | {
"lang": "python",
"repo": "awolste/beginToReason2",
"path": "/tutor/py_helper_functions/tutor_helper.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lisaleemcb/zreion path: /src/zreion/__init__.py
# -*- coding: utf-8 -*-
# Copyright (c) 2020 Paul La Plante
# Licensed under the MIT License
"""Init file for zreion."""
from pkg_resources import get_distribution, DistributionNotFound
<|fim_suffix|>
from .zreion import apply_zreion, apply_zreion... | code_fim | hard | {
"lang": "python",
"repo": "lisaleemcb/zreion",
"path": "/src/zreion/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
try:
# Change here if project is renamed and does not equal the package name
dist_name = __name__
__version__ = get_distribution(dist_name).version
except DistributionNotFound: # pragma: no cover
__version__ = "unknown"
finally:
del get_distribution, DistributionNotFound
from .zrei... | code_fim | medium | {
"lang": "python",
"repo": "lisaleemcb/zreion",
"path": "/src/zreion/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>from .zreion import apply_zreion, apply_zreion_fast
__all__ = ["apply_zreion", "apply_zreion_fast"]<|fim_prefix|># repo: lisaleemcb/zreion path: /src/zreion/__init__.py
# -*- coding: utf-8 -*-
# Copyright (c) 2020 Paul La Plante
# Licensed under the MIT License
"""Init file for zreion."""
from pkg_reso... | code_fim | hard | {
"lang": "python",
"repo": "lisaleemcb/zreion",
"path": "/src/zreion/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.output_path=output_path or '%s/Video/aircam/' % os.environ['EXTERNAL_STORAGE']
self.ffmpeg_path=ffmpeg_path or '/tmp'
droid.log("sanitizing ffmpeg")
os.system('cp %s/ffmpeg.amr %s/ffmpeg' % (self.FILES_PATH, self.ffmpeg_path))
os.system('chmod 777 %s/ffmpeg' % self.ffmpeg_path)
os.system('rm -r... | code_fim | hard | {
"lang": "python",
"repo": "manuelnaranjo/AIRi",
"path": "/AIRcam/resources/ffmpeg.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> if not self._running:
return
self._running=False
self._running_p[1].send_bytes("False")
self.push_thread.join()
self.push_thread = None
self.buffer_file.flush()
self.buffer_file.close()
self.buffer_file = None
self.ffmpeg_process.wait()
self.push_pipe.close()
self.push_pipe1.close()
for ... | code_fim | hard | {
"lang": "python",
"repo": "manuelnaranjo/AIRi",
"path": "/AIRcam/resources/ffmpeg.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: manuelnaranjo/AIRi path: /AIRcam/resources/ffmpeg.py
# -*- coding: utf-8 -*-
import sys, os, time
from fcntl import fcntl, F_GETFL, F_SETFL
from subprocess import Popen, PIPE
from multiprocessing import Process, Pipe, Value
import android
droid = android.Android()
def ffmpeg_push_thread(fps, pip... | code_fim | hard | {
"lang": "python",
"repo": "manuelnaranjo/AIRi",
"path": "/AIRcam/resources/ffmpeg.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: RaviTezu/python-scripts path: /sequences.py
#!/usr/bin/python
""" This scirpt genrates all the possbile english from a word """
import sys
import itertools
try:
import enchant
except:
print "You should have enchant module installed to run this script: pip install pyenchant works!"
sys... | code_fim | hard | {
"lang": "python",
"repo": "RaviTezu/python-scripts",
"path": "/sequences.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>if __name__ == "__main__":
word = str(raw_input("Please enter a word: "))
if word.isalpha():
sequences = []
d = enchant.Dict("en_US")
word_len = len(word)
word_list = list(word)
print "Generating all possible words..."
while word_len > 2:
... | code_fim | hard | {
"lang": "python",
"repo": "RaviTezu/python-scripts",
"path": "/sequences.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if hasattr(rhs, "integer"):
return self.integer >= rhs.integer
else:
try:
return self.integer >= PCI(rhs).integer
except StandardError:
return NotImplemented
class PCIIds(object):
def __init__(self, fn):
self... | code_fim | hard | {
"lang": "python",
"repo": "windofthesky/python-libs",
"path": "/xcp/pci.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: windofthesky/python-libs path: /xcp/pci.py
#!/usr/bin/env python
"""
Copyright (c) 2013, Citrix Inc.
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
1. Redistributions of source ... | code_fim | hard | {
"lang": "python",
"repo": "windofthesky/python-libs",
"path": "/xcp/pci.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> d.addErrback(unhandled)
# Pass the evaluation jobs to the scheduler.
for tick in ready_for_execution:
task = self._graph.get_task(tick)
inputs = {dest.port : self._graph.get_data(source) for source, dest in self._graph.get_in_connections(tick)}
... | code_fim | hard | {
"lang": "python",
"repo": "pydron/pydron",
"path": "/pydron/interpreter/traverser.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> :param refine_task_callback: Function which is invoked when a task
becomes ready for refinement. The signature is the same as for`ready_task_callback`,
the return value is ignored.
The returned deferred might get cancelled if the result isn't requir... | code_fim | hard | {
"lang": "python",
"repo": "pydron/pydron",
"path": "/pydron/interpreter/traverser.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pydron/pydron path: /pydron/interpreter/traverser.py
# Copyright (C) 2015 Stefan C. Mueller
from pydron.dataflow import graph
from pydron.interpreter import graphdecorator
from twisted.internet import defer
from twisted.internet.defer import CancelledError
from twisted.python import failure
im... | code_fim | hard | {
"lang": "python",
"repo": "pydron/pydron",
"path": "/pydron/interpreter/traverser.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if not transpose:
df = df.set_index(indexCol) if indexCol in df.columns else df.set_index(df.columns[0])
if gzipResults:
df.to_pickle(super()._append_gz(self.filePath), compression='gzip')
else:
df.to_pickle(self.filePath)<|fim_prefix|># repo: sr... | code_fim | hard | {
"lang": "python",
"repo": "srp33/ExpressionAble",
"path": "/expressionable/files/picklefile.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def write_to_file(self, df, gzipResults=False, includeIndex=False, null='NA', indexCol=None, transpose=False):
if not transpose:
df = df.set_index(indexCol) if indexCol in df.columns else df.set_index(df.columns[0])
if gzipResults:
df.to_pickle(super()._append_... | code_fim | hard | {
"lang": "python",
"repo": "srp33/ExpressionAble",
"path": "/expressionable/files/picklefile.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: srp33/ExpressionAble path: /expressionable/files/picklefile.py
import pandas as pd
from ..files import EAFile
class PickleFile(EAFile):
<|fim_suffix|>
def write_to_file(self, df, gzipResults=False, includeIndex=False, null='NA', indexCol=None, transpose=False):
if not transpose:
... | code_fim | hard | {
"lang": "python",
"repo": "srp33/ExpressionAble",
"path": "/expressionable/files/picklefile.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: BendeguzToth/Fun-with-ConvNets path: /project/utils.py
import numpy as np
import pickle
class VectorCrossEntropy:
@staticmethod
def error(result, label):
return - label * np.log(result + 1e-7)
@staticmethod
def gradient(result, label):
return - label / (result +... | code_fim | hard | {
"lang": "python",
"repo": "BendeguzToth/Fun-with-ConvNets",
"path": "/project/utils.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.counter = 1
self.sum = 0
def __str__(self):
return str(self.sum)
def __repr__(self):
return "[counter: {0}, sum: {1}]".format(self.counter - 1, self.sum)
def add(self, x):
"""
Add a new data point.
:param x: New data point to be ... | code_fim | hard | {
"lang": "python",
"repo": "BendeguzToth/Fun-with-ConvNets",
"path": "/project/utils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __repr__(self):
return "[counter: {0}, sum: {1}]".format(self.counter - 1, self.sum)
def add(self, x):
"""
Add a new data point.
:param x: New data point to be added to the average.
"""
self.sum += (1 / self.counter) * (x - self.sum)
sel... | code_fim | hard | {
"lang": "python",
"repo": "BendeguzToth/Fun-with-ConvNets",
"path": "/project/utils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> source_embedding, destination_embedding, _ = tgn.compute_temporal_embeddings(sources_batch,
destinations_batch,
destinations_batch,
... | code_fim | hard | {
"lang": "python",
"repo": "twitter-research/tgn",
"path": "/evaluation/evaluation.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: twitter-research/tgn path: /evaluation/evaluation.py
import math
import numpy as np
import torch
from sklearn.metrics import average_precision_score, roc_auc_score
def eval_edge_prediction(model, negative_edge_sampler, data, n_neighbors, batch_size=200):
# Ensures the random sampler uses a s... | code_fim | hard | {
"lang": "python",
"repo": "twitter-research/tgn",
"path": "/evaluation/evaluation.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> sources_batch = data.sources[s_idx: e_idx]
destinations_batch = data.destinations[s_idx: e_idx]
timestamps_batch = data.timestamps[s_idx:e_idx]
edge_idxs_batch = edge_idxs[s_idx: e_idx]
source_embedding, destination_embedding, _ = tgn.compute_temporal_embeddings(sources_batc... | code_fim | hard | {
"lang": "python",
"repo": "twitter-research/tgn",
"path": "/evaluation/evaluation.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: weihengcumt/SOGNN path: /Net.py
"""
"""
import math
import torch
import torch.nn.functional as F
from torch_geometric.data import DataLoader
from torch_geometric.nn import GCNConv, ChebConv, SAGEConv, GraphConv, DenseSAGEConv, dense_diff_pool, DenseGCNConv
from torch_geometric.nn import TopKPo... | code_fim | hard | {
"lang": "python",
"repo": "weihengcumt/SOGNN",
"path": "/Net.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.conv3 = Conv2d(64, 128, (1,5))
self.drop3 = Dropout(drop_rate)
self.pool3 = MaxPool2d((1,4))
self.sogc3 = SOGC(2*128, 64, 32, topk)
self.drop4 = Dropout(drop_rate)
self.linend = Linear(self.channels*32*3, 3)
def forward(self, ... | code_fim | hard | {
"lang": "python",
"repo": "weihengcumt/SOGNN",
"path": "/Net.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dawidsielski/medical-data-share path: /data_share/DataShare.py
import os
import json
import base64
from Crypto.Cipher import AES, PKCS1_OAEP
from data_share.Pad import Pad
from utils.user_validation.UserValidation import UserValidation
from Crypto.Hash import SHA256
from Crypto.PublicKey import... | code_fim | hard | {
"lang": "python",
"repo": "dawidsielski/medical-data-share",
"path": "/data_share/DataShare.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return public_key.verify(h, signature)
@staticmethod
def validate_signature_using_user_id(message, signature=None):
"""
This function checks if incoming message is valid for this machine.
:param message: (obj) json incoming message
:param signature:
... | code_fim | hard | {
"lang": "python",
"repo": "dawidsielski/medical-data-share",
"path": "/data_share/DataShare.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hecg119/Penne path: /penne/quarantine/db_create.py
import os
import sqlite3
import traceback
from json import load
from termcolor import cprint
from penne.lib.settings import HOME, WHITELISTED_HASHES
penne_json = load(open("{}/penne.json".format(HOME), "r"))
penne_db = "{}/{}".format(penne_jso... | code_fim | hard | {
"lang": "python",
"repo": "hecg119/Penne",
"path": "/penne/quarantine/db_create.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def insert_blob(blob_data, blob_name, where_found, original_name, encrypted, need_to_upload, nonce, key, tag, detected_as):
if isinstance(blob_data, str) and isinstance(blob_name, str) and isinstance(where_found, str) and isinstance(
original_name, str) and isinstance(encrypted, bool) and... | code_fim | hard | {
"lang": "python",
"repo": "hecg119/Penne",
"path": "/penne/quarantine/db_create.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> signature = django_filters.CharFilter(
lookup_expr='icontains',
help_text=Card._meta.get_field('signature').help_text,
label=Card._meta.get_field('signature').verbose_name
)
text_front = django_filters.CharFilter(
lookup_expr='icontains',
help_text=Card.... | code_fim | medium | {
"lang": "python",
"repo": "acdh-oeaw/official-depictions",
"path": "/cards/filters.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: acdh-oeaw/official-depictions path: /cards/filters.py
import django_filters
from dal import autocomplete
from django import forms
from django.contrib.auth.models import User
from vocabs.models import SkosConcept
from vocabs.filters import generous_concept_filter
from entities.models import Inst... | code_fim | medium | {
"lang": "python",
"repo": "acdh-oeaw/official-depictions",
"path": "/cards/filters.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># @TODO: Add unit tests for AsyncSession operations<|fim_prefix|># repo: TheLazzziest/fastapi-session path: /tests/test_sessions/test_async.py
from fastapi_session import AsyncSession, FSBackend, RedisBackend
<|fim_middle|>def test_create_fs_backend(fs_session: AsyncSession):
assert isinstance(fs_s... | code_fim | hard | {
"lang": "python",
"repo": "TheLazzziest/fastapi-session",
"path": "/tests/test_sessions/test_async.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: TheLazzziest/fastapi-session path: /tests/test_sessions/test_async.py
from fastapi_session import AsyncSession, FSBackend, RedisBackend
def test_create_fs_backend(fs_session: AsyncSession):
assert isinstance(fs_session._backend, FSBackend)
<|fim_suffix|> assert isinstance(redis_session... | code_fim | medium | {
"lang": "python",
"repo": "TheLazzziest/fastapi-session",
"path": "/tests/test_sessions/test_async.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> assert isinstance(redis_session._backend, RedisBackend)
# @TODO: Add unit tests for AsyncSession operations<|fim_prefix|># repo: TheLazzziest/fastapi-session path: /tests/test_sessions/test_async.py
from fastapi_session import AsyncSession, FSBackend, RedisBackend
def test_create_fs_backend(fs_se... | code_fim | medium | {
"lang": "python",
"repo": "TheLazzziest/fastapi-session",
"path": "/tests/test_sessions/test_async.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> step = FormStep(form=MockForm, title='step')
data = {'string_field': "Here is whitespace "}
expected_output = "Here is whitespace"
with app.test_request_context(method='POST', data=data):
form = step.create_form(request, prefilled_data={})
self.asser... | code_fim | medium | {
"lang": "python",
"repo": "ramboldio/steuerlotse",
"path": "/webapp/tests/forms/test_base_form.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ramboldio/steuerlotse path: /webapp/tests/forms/test_base_form.py
import unittest
from flask import request
from app import app
from app.forms import SteuerlotseBaseForm
from app.forms.fields import SteuerlotseStringField
from app.forms.steps.step import FormStep
class MockForm(SteuerlotseBas... | code_fim | hard | {
"lang": "python",
"repo": "ramboldio/steuerlotse",
"path": "/webapp/tests/forms/test_base_form.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>neJupyterWidget
from .data_analysis import DataAnalysis
from .model_analysis import ModelAnalysis
from .auto_modeler import AutoModeler<|fim_prefix|># repo: EricCacciavillani/eFlow path: /eflow/_hidden/parent_objects/__init__.py
from .file_output import FileOutput
from .data_pipeline_segment imp<|fim_mid... | code_fim | medium | {
"lang": "python",
"repo": "EricCacciavillani/eFlow",
"path": "/eflow/_hidden/parent_objects/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: EricCacciavillani/eFlow path: /eflow/_hidden/parent_objects/__init__.py
from .file_output import FileOutput
from .data_pipeline_segment import DataPipelineSegment
from .pipeline_jupyter_widget import Pipeli<|fim_suffix|>_analysis import ModelAnalysis
from .auto_modeler import AutoModeler<|fim_mid... | code_fim | medium | {
"lang": "python",
"repo": "EricCacciavillani/eFlow",
"path": "/eflow/_hidden/parent_objects/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def test_tcp_header_big(self):
if PYPY:
return True
header = TCP_HEADER_BIG(
source_port = 8080,
dest_port = 8080,
seq_num = 0xbeefcafe,
ack_num = 0xcafebeef,
data_offset = 0xf,
flag_ns = 1,
... | code_fim | hard | {
"lang": "python",
"repo": "KronoSKoderS/CalPack",
"path": "/tests/test_Common_IP.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: KronoSKoderS/CalPack path: /tests/test_Common_IP.py
import unittest
import struct
from calpack.common.ip import *
from calpack.utils import PYPY
class Test_UDP_HEADER(unittest.TestCase):
def test_udp_header_native(self):
"""
This test verifies the proper structuring of the ... | code_fim | hard | {
"lang": "python",
"repo": "KronoSKoderS/CalPack",
"path": "/tests/test_Common_IP.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> expected_data = [
8080, 8080, 0xbeefcafe, 0xcafebeef, int('11110001', 2), 0xff, 12, 0xffff
]
expected_val = struct.pack('>HHIIBBHH', *expected_data)
self.assertEqual(header.to_bytes(), expected_val)
def test_tcp_header_little(self):
if PYPY:
... | code_fim | hard | {
"lang": "python",
"repo": "KronoSKoderS/CalPack",
"path": "/tests/test_Common_IP.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>#ax.legend( (rects1[0]), ('TDB', 'Non-incremental', 'Update 10') )
def autolabel(rects):
# attach some text labels
for rect in rects:
height = rect.get_height()
ax.text(rect.get_x()+rect.get_width()/2., height + .1, '%d'%int(height),
ha='center', va='bottom')
auto... | code_fim | hard | {
"lang": "python",
"repo": "twmarshall/tdb",
"path": "/charts/overhead.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: twmarshall/tdb path: /charts/overhead.py
#!/usr/bin/env python
# a bar plot with errorbars
import matplotlib.pyplot as plt
import numpy as np
import string
graph_dir = "charts/"
N = 3
width = 0.4 # the width of the bars
ind = np.arange(N) # the x locations for the groups
fig, ax = plt.sub... | code_fim | medium | {
"lang": "python",
"repo": "twmarshall/tdb",
"path": "/charts/overhead.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>def autolabel(rects):
# attach some text labels
for rect in rects:
height = rect.get_height()
ax.text(rect.get_x()+rect.get_width()/2., height + .1, '%d'%int(height),
ha='center', va='bottom')
autolabel(rects1)
#autolabel(rects2)
#plt.show()
plt.savefig(graph_dir ... | code_fim | hard | {
"lang": "python",
"repo": "twmarshall/tdb",
"path": "/charts/overhead.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: BogiHsu/Tacotron2-PyTorch path: /hparams.py
from text import symbols
class hparams:
seed = 0
################################
# Data Parameters #
################################
text_cleaners=['english_cleaners']
################################
# Aud... | code_fim | hard | {
"lang": "python",
"repo": "BogiHsu/Tacotron2-PyTorch",
"path": "/hparams.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> ################################
# Model Parameters #
################################
n_symbols = len(symbols)
symbols_embedding_dim = 512
# Encoder parameters
encoder_kernel_size = 5
encoder_n_convolutions = 3
encoder_embedding_dim = 512
# Decoder pa... | code_fim | hard | {
"lang": "python",
"repo": "BogiHsu/Tacotron2-PyTorch",
"path": "/hparams.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Location Layer parameters
attention_location_n_filters = 32
attention_location_kernel_size = 31
# Mel-post processing network parameters
postnet_embedding_dim = 512
postnet_kernel_size = 5
postnet_n_convolutions = 5<|fim_prefix|># repo: BogiHsu/Tacotron2-PyTorch path: /hpar... | code_fim | hard | {
"lang": "python",
"repo": "BogiHsu/Tacotron2-PyTorch",
"path": "/hparams.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def do():
a = int(raw_input())
b = int(raw_input())
print(a + b)
print(a - b)
print(a * b)
do()<|fim_prefix|># repo: qeedquan/challenges path: /hacker_rank/python-arithmetic-operators.py
#!/usr/bin/env python
"""
Read two integers from STDIN and print three lines where:
<|fim_midd... | code_fim | medium | {
"lang": "python",
"repo": "qeedquan/challenges",
"path": "/hacker_rank/python-arithmetic-operators.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: qeedquan/challenges path: /hacker_rank/python-arithmetic-operators.py
#!/usr/bin/env python
"""
Read two integers from STDIN and print three lines where:
<|fim_suffix|>def do():
a = int(raw_input())
b = int(raw_input())
print(a + b)
print(a - b)
print(a * b)
do()<|fim_midd... | code_fim | medium | {
"lang": "python",
"repo": "qeedquan/challenges",
"path": "/hacker_rank/python-arithmetic-operators.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> a = int(raw_input())
b = int(raw_input())
print(a + b)
print(a - b)
print(a * b)
do()<|fim_prefix|># repo: qeedquan/challenges path: /hacker_rank/python-arithmetic-operators.py
#!/usr/bin/env python
"""
Read two integers from STDIN and print three lines where:
<|fim_middle|>The fi... | code_fim | medium | {
"lang": "python",
"repo": "qeedquan/challenges",
"path": "/hacker_rank/python-arithmetic-operators.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: newby-jay/BVchunker path: /BVchunker/ND2Reader.py
import os
import sys
import time
# import google.cloud
# from google.cloud import error_reporting, logging
from numpy import *
from numpy.random import rand
from .BVchunker import VideoSplitter, combineTZ, splitBadFiles
import apache_beam as beam... | code_fim | hard | {
"lang": "python",
"repo": "newby-jay/BVchunker",
"path": "/BVchunker/ND2Reader.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> if nextBlockStart >= stopPosition:
return 0
return iobase.RangeTracker.SPLIT_POINTS_UNKNOWN
range_tracker.set_split_points_unclaimed_callback(split_points_unclaimed)
###########
basePath, vidName = os.path.split(fileName)
_, ext = os.... | code_fim | hard | {
"lang": "python",
"repo": "newby-jay/BVchunker",
"path": "/BVchunker/ND2Reader.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> mdAtributesBytes, mdCalibrationBytes, mdTextBytes, size, Nrecords):
### TODO: probably XML or JSON decoder should work here?
"""Decode a very minimal set of metadata."""
mdkeysXY = {
'Nx': b'\x00W\x00i\x00d\x00t\x00h\x00\x00\x00',
'NxBytes': b'\x00W\... | code_fim | hard | {
"lang": "python",
"repo": "newby-jay/BVchunker",
"path": "/BVchunker/ND2Reader.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: magnuswenzer/file_organizer path: /gui/frame_add_tags.py
import tkinter as tk
from tkinter import ttk
from tkinter import messagebox
import gui.widgets as tkw
class FrameAddTags(tk.Frame):
def __init__(self,
parent,
controller=None,
prop_frame={},
**kwargs):
self... | code_fim | hard | {
"lang": "python",
"repo": "magnuswenzer/file_organizer",
"path": "/gui/frame_add_tags.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self._update_widgets()
def _update_widgets(self):
self._update_widgets_tag_type()
self._update_widgets_tag_name()
self._update_combobox_add_tag_name()
self._clear_entries()
def _clear_entries(self):
self.stringvar_add_tag_type.set('')
self.stringvar_add_tag_name.set('')
def _update_w... | code_fim | hard | {
"lang": "python",
"repo": "magnuswenzer/file_organizer",
"path": "/gui/frame_add_tags.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: arturhaddad/Tibialyzer path: /db/parsedungeon.py
# Copyright 2016 Mark Raasveldt
#
# 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/L... | code_fim | hard | {
"lang": "python",
"repo": "arturhaddad/Tibialyzer",
"path": "/db/parsedungeon.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> coordinates = None
if 'location' in attributes:
locstr = attributes['location']
index = 0;
while True:
match = re.search(mapperRegex, locstr[index:])
if match == None:
break
x = convert_x(match.groups()[0])
y ... | code_fim | hard | {
"lang": "python",
"repo": "arturhaddad/Tibialyzer",
"path": "/db/parsedungeon.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> if permission_classes:
for permission in [p() for p in permission_classes]:
if not permission.has_permission(
info.context.get("request"), info.context.get("view")
):
raise PermissionDenied(detail=getattr(permissio... | code_fim | hard | {
"lang": "python",
"repo": "hilmarhausmart/graphene-django",
"path": "/graphene_django/rest_framework/relay/node.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hilmarhausmart/graphene-django path: /graphene_django/rest_framework/relay/node.py
import warnings
from functools import partial
from graphene.types.utils import get_type
from graphene.relay import node as graphene_node
from rest_framework.exceptions import PermissionDenied
<|fim_suffix|> ... | code_fim | hard | {
"lang": "python",
"repo": "hilmarhausmart/graphene-django",
"path": "/graphene_django/rest_framework/relay/node.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> @classmethod
def node_resolver(cls, only_type, permission_classes, root, info, id):
if not permission_classes:
if hasattr(info, "context") and info.context and info.context.get("view", None):
permission_classes = info.context.get(
"view"
... | code_fim | hard | {
"lang": "python",
"repo": "hilmarhausmart/graphene-django",
"path": "/graphene_django/rest_framework/relay/node.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: LianwMS/autorest.az path: /src/test/scenarios/managed-network/output/src/managed-network/azext_managed_network/vendored_sdks/managednetwork/aio/operations_async/__init__.py
# coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corpor... | code_fim | hard | {
"lang": "python",
"repo": "LianwMS/autorest.az",
"path": "/src/test/scenarios/managed-network/output/src/managed-network/azext_managed_network/vendored_sdks/managednetwork/aio/operations_async/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>__all__ = [
'ManagedNetworkOperations',
'ScopeAssignmentOperations',
'ManagedNetworkGroupOperations',
'ManagedNetworkPeeringPolicyOperations',
'OperationOperations',
]<|fim_prefix|># repo: LianwMS/autorest.az path: /src/test/scenarios/managed-network/output/src/managed-network/azext_m... | code_fim | hard | {
"lang": "python",
"repo": "LianwMS/autorest.az",
"path": "/src/test/scenarios/managed-network/output/src/managed-network/azext_managed_network/vendored_sdks/managednetwork/aio/operations_async/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: noah-dev/pptx_pdf_script path: /env/Lib/site-packages/watcher/tests/test_FileSystemWatcher.py
# See if we can use unittest2 first if we're on 3.1.
# 3.2 has the same features so we can fall back there.
try:
import unittest2 as unittest
except ImportError:
import unittest
try:
import ... | code_fim | hard | {
"lang": "python",
"repo": "noah-dev/pptx_pdf_script",
"path": "/env/Lib/site-packages/watcher/tests/test_FileSystemWatcher.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.fsw.NotifyFilter = FileSystemWatcher.NotifyFilters.LastWrite
self.fsw.Changed += self._callback
self.fsw.EnableRaisingEvents = True
self.assertTrue(self.fsw.EnableRaisingEvents)
# Won't pick up events for the add.
self.add_files()
for name in ... | code_fim | hard | {
"lang": "python",
"repo": "noah-dev/pptx_pdf_script",
"path": "/env/Lib/site-packages/watcher/tests/test_FileSystemWatcher.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: soerenbnoergaard/impulseresponder path: /impulseresponder.py
import matplotlib
matplotlib.use("TkAgg")
import numpy as np
import tkinter as tk
import sounddevice as sd
import matplotlib.pyplot as plt
from scipy import signal
from tkinter import filedialog
from matplotlib.backends.backend_tkagg ... | code_fim | hard | {
"lang": "python",
"repo": "soerenbnoergaard/impulseresponder",
"path": "/impulseresponder.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
def measure(self, waveform_string):
sd.default.device = "Scarlett 2i2 USB: Audio"
sd.default.blocksize = 512
sd.default.samplerate = self.sample_rate_Hz
sd.default.channels = 1
... | code_fim | hard | {
"lang": "python",
"repo": "soerenbnoergaard/impulseresponder",
"path": "/impulseresponder.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> fr_input.pack(side=tk.LEFT)
fr_output.pack(side=tk.LEFT)
fr_plot.pack(side=tk.TOP, expand=True, fill=tk.BOTH)
# INPUT
tk.Label(fr_input, text="Sample rate [Hz]").grid(row=0, column=0)
tk.OptionMenu(fr_input, self.var.sample_rate_Hz, "48000", "44100", comman... | code_fim | hard | {
"lang": "python",
"repo": "soerenbnoergaard/impulseresponder",
"path": "/impulseresponder.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> for line in difflib.unified_diff(text1, text2):
print(line)
if(fail_test==False):
print("Passou em todos os casos de teste!!!")
is_a_AC()<|fim_prefix|># repo: ednunes/competitive-programming path: /scripts/script.py
import os, sys, filecmp, difflib
impor... | code_fim | medium | {
"lang": "python",
"repo": "ednunes/competitive-programming",
"path": "/scripts/script.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ednunes/competitive-programming path: /scripts/script.py
import os, sys, filecmp, difflib
import difflib
path = './test_cases/'
# r=root, d=directories, f = files
def get_test_cases_number():
files = []
for r, d, f in os.walk(path):
for file in f:
if 'in' in file:
... | code_fim | hard | {
"lang": "python",
"repo": "ednunes/competitive-programming",
"path": "/scripts/script.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ahmfrz/theprogrammersblog path: /handlers/user.py
"""Defines UserInfoHandler"""
from models.user import UserEntity
from handlers.base import BaseHandler
class UserInfoHandler(BaseHandler):
<|fim_suffix|> """This method adds about info for the logged in user
Args:
u... | code_fim | hard | {
"lang": "python",
"repo": "ahmfrz/theprogrammersblog",
"path": "/handlers/user.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.redirect('/')
def about_user(self, *args):
"""This method gets the about page for a given user
Args:
args[0]: The username(unused, added for more readability of route)
args[1]: The user id
"""
user_for_about = len(args) == 2 and Us... | code_fim | hard | {
"lang": "python",
"repo": "ahmfrz/theprogrammersblog",
"path": "/handlers/user.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: DevWaweru/PaymentSolutions path: /payments/urls.py
from django.conf.urls import url
from . import views
from django.conf.urls.static import static
from django.conf import settings
urlpatterns = [
url('^$', views.paypa<|fim_suffix|>EBUG:
urlpatterns += static(settings.MEDIA_URL, document_... | code_fim | medium | {
"lang": "python",
"repo": "DevWaweru/PaymentSolutions",
"path": "/payments/urls.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>EBUG:
urlpatterns += static(settings.MEDIA_URL, document_root=settings.MEDIA_ROOT)<|fim_prefix|># repo: DevWaweru/PaymentSolutions path: /payments/urls.py
from django.conf.urls import url
from . import views
from django.conf.urls.static imp<|fim_middle|>ort static
from django.conf import settings
ur... | code_fim | medium | {
"lang": "python",
"repo": "DevWaweru/PaymentSolutions",
"path": "/payments/urls.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jpch89/picpython path: /pp_026_ThreadPoolExecutor4.py
from concurrent.futures import ThreadPoolExecutor, as_completed
import time, random
<|fim_suffix|>"""
小结
标准库模块 concurrent.futures 还提供了两个函数：
wait() 和 as_completed()
as_completed(fs, timeout=None):
该函数用于将指定的 Future 实例对象序列转换为迭代器。
当序列中的任意一个 Futu... | code_fim | hard | {
"lang": "python",
"repo": "jpch89/picpython",
"path": "/pp_026_ThreadPoolExecutor4.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>as_completed(fs, timeout=None):
该函数用于将指定的 Future 实例对象序列转换为迭代器。
当序列中的任意一个 Future 实例对象已经完成或者已被取消时，都会被 yield。
这样通过遍历迭代器，就可以在任意一个 Future 实例对象已经完成或者已被取消时，
立即做一些处理，比如调用 result() 来得到执行结果。
参数 fs 用于指定 Future 实例对象序列。
参数 timeout 用于指定超时时间。如果不指定（默认为 None），则不会超时。
该函数的返回值是一个 Future 实例对象的迭代器。
"""<|fim_prefix|># repo: j... | code_fim | hard | {
"lang": "python",
"repo": "jpch89/picpython",
"path": "/pp_026_ThreadPoolExecutor4.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: azogue/pvpcbill path: /pvpcbill/helpers.py
# -*- coding: utf-8 -*-
"""
Electrical billing for small consumers in Spain using PVPC. Helper methods.
* load_csv_consumo_cups := to read standard energy hourly consumption CSV files
* get_pvpc_data := async method to retrieve PVPC data for a given con... | code_fim | hard | {
"lang": "python",
"repo": "azogue/pvpcbill",
"path": "/pvpcbill/helpers.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
# TODO check optional pvpc store
async def get_pvpc_data(
consumo: pd.Series, path_csv_pvpc_store: Optional[Union[Path, str]] = None
) -> pd.DataFrame:
"""
Download PVPC data for the given consumption series using `aiopvpc`.
If a path for a PVPC local csv store is given, it'll try to use... | code_fim | hard | {
"lang": "python",
"repo": "azogue/pvpcbill",
"path": "/pvpcbill/helpers.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: betty29/code-1 path: /recipes/Python/577539_Convert_PyQt_properties/recipe-577539.py
def iterProperties(cls):
"""
Iterates through the names of all the properties on a PyQt class.
"""
meta = cls.staticMetaObject
for i in range(meta.propertyCount()):
yield meta.property... | code_fim | medium | {
"lang": "python",
"repo": "betty29/code-1",
"path": "/recipes/Python/577539_Convert_PyQt_properties/recipe-577539.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># use in Python 3
@useProperties
class Widget(QtGui.QWidget):
pass
# or simply
useProperties(QtGui.QWidget)
# then
w = QtGui.QWidget()
w.font = QtGui.QFont('Droid Sans Mono')<|fim_prefix|># repo: betty29/code-1 path: /recipes/Python/577539_Convert_PyQt_properties/recipe-577539.py
def iterProperties... | code_fim | hard | {
"lang": "python",
"repo": "betty29/code-1",
"path": "/recipes/Python/577539_Convert_PyQt_properties/recipe-577539.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return self.property(name)
return get
def setter(name):
def set(self, value):
return self.setProperty(name, value)
return set
for name in iterProperties(cls):
setattr(cls, name, property(getter(name), setter(name)))
return cls
# use in P... | code_fim | medium | {
"lang": "python",
"repo": "betty29/code-1",
"path": "/recipes/Python/577539_Convert_PyQt_properties/recipe-577539.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># Dummy loop just to iterate example cases
for f in listdir("source_images"):
filename="source_images/"+f
img_to_check = cv2.imread(filename)
# Change into grayscale for template comparison
img_gray = cv2.cvtColor(img_to_check, cv2.COLOR_BGR2GRAY)
colorcheck(green, (0,255,0), img_gray,... | code_fim | hard | {
"lang": "python",
"repo": "tniswong/MtgManaRecognition",
"path": "/highlight_mana.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tniswong/MtgManaRecognition path: /highlight_mana.py
"""
This code will read files from source_images folder. It will then identify and highligh MTG mana icons from those images and save
highlighted images into result_images folder.
created Apr 2017
by CheapskateProjects
--------------------... | code_fim | hard | {
"lang": "python",
"repo": "tniswong/MtgManaRecognition",
"path": "/highlight_mana.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> results = cv2.matchTemplate(img_gray,color_template,cv2.TM_CCOEFF_NORMED)
locations = np.where( results >= matchingThreshold)
for pt in zip(*locations[::-1]):
cv2.rectangle(img_to_check, pt, (pt[0] + w, pt[1] + h), draw_color, 2)
# Dummy loop just to iterate example cases
for f in lis... | code_fim | medium | {
"lang": "python",
"repo": "tniswong/MtgManaRecognition",
"path": "/highlight_mana.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
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