text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_suffix|>#midi_file = '0.mid'
#name = str(midi_file.replace('.mid', '.mp3'))
#command = 'timidity.exe results/'+midi_file+' -Ow -o mp3/'+name
#print(command)
#result = os.system(command)<|fim_prefix|># repo: tobnap/Performance-RNN-PyTorch path: /midi2mp3.py
import os
midi_files = os.listdir("results")
<|fim_mid... | code_fim | hard | {
"lang": "python",
"repo": "tobnap/Performance-RNN-PyTorch",
"path": "/midi2mp3.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tobnap/Performance-RNN-PyTorch path: /midi2mp3.py
import os
midi_files = os.listdir("results")
<|fim_suffix|>#midi_file = '0.mid'
#name = str(midi_file.replace('.mid', '.mp3'))
#command = 'timidity.exe results/'+midi_file+' -Ow -o mp3/'+name
#print(command)
#result = os.system(command)<|fim_mid... | code_fim | hard | {
"lang": "python",
"repo": "tobnap/Performance-RNN-PyTorch",
"path": "/midi2mp3.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> smach.State.__init__(self, outcomes=['em_frente','OK'])
def execute(self, userdata):
if bateu:
return su.bateu(angulo)
if desvia and not bateu:
return su.rodatudo(mini,velocidade_saida)
class Procurando(smach.State):
def __init__(self):
smach.State.__init__(self, outcomes=['Nop', 'algo_er... | code_fim | hard | {
"lang": "python",
"repo": "wesleygas/RoR9000",
"path": "/estados_simples.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> global mini
global vel
if GonnaCrash(mini):
global desvia = True
return 'algo_errado'
else:
velocidade = Twist(Vector3(0.2, 0, 0), Vector3(0, 0, 0))
print("frente")
velocidade_saida.publish(velocidade)
return 'OK'
class Batendo(smach.State):
global velocidade_saida
def __init__(self):
... | code_fim | hard | {
"lang": "python",
"repo": "wesleygas/RoR9000",
"path": "/estados_simples.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: wesleygas/RoR9000 path: /estados_simples.py
#! /usr/bin/env python
# -*- coding:utf-8 -*-
import rospy
import numpy as np
import tf
import math
import cv2
import time
from geometry_msgs.msg import Twist, Vector3, Pose
from nav_msgs.msg import Odometry
from sensor_msgs.msg import Image, Compresse... | code_fim | hard | {
"lang": "python",
"repo": "wesleygas/RoR9000",
"path": "/estados_simples.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pombredanne/refreeze-scripts path: /refreeze_scripts/cli.py
from __future__ import annotations
import sys
import argparse
import platform
<|fim_suffix|> parser = argparse.ArgumentParser()
parser.add_argument('--prefix', default=sys.prefix)
parser.add_argument('--quiet', '-q', action=... | code_fim | hard | {
"lang": "python",
"repo": "pombredanne/refreeze-scripts",
"path": "/refreeze_scripts/cli.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if platform.system() != 'Windows':
print(
"%s requires to be running on Windows" % sys.argv[0],
file=sys.stderr,
)
sys.exit(1)
parser = argparse.ArgumentParser()
parser.add_argument('--prefix', default=sys.prefix)
parser.add_argument('--quie... | code_fim | medium | {
"lang": "python",
"repo": "pombredanne/refreeze-scripts",
"path": "/refreeze_scripts/cli.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>#urlpatterns = patterns('',
urlpatterns = i18n_patterns('',
#url(r'^$', home, name = 'home'),
url(r'^account/', include(account.urls)),
url(r'^admin/', include(smuggler.urls)),
url(r'^admin/', include(admin.site.urls)),
url(r'^search/', SearchView(template = 'search.html'), name = 'search'),
url(r'^... | code_fim | medium | {
"lang": "python",
"repo": "mverleg/mu3",
"path": "/project/source/urls.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>
#urlpatterns = patterns('',
urlpatterns = i18n_patterns('',
#url(r'^$', home, name = 'home'),
url(r'^account/', include(account.urls)),
url(r'^admin/', include(smuggler.urls)),
url(r'^admin/', include(admin.site.urls)),
url(r'^search/', SearchView(template = 'search.html'), name = 'search'),
url(r'... | code_fim | medium | {
"lang": "python",
"repo": "mverleg/mu3",
"path": "/project/source/urls.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mverleg/mu3 path: /project/source/urls.py
from django.conf.urls import patterns, include, url
from django.conf.urls.i18n import i18n_patterns
from django.views.i18n import set_language
from django.contrib import admin
from haystack.views import SearchView
from misc.views.notification import noti... | code_fim | medium | {
"lang": "python",
"repo": "mverleg/mu3",
"path": "/project/source/urls.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> # feed word vectors into the RNN and predict the next word
inputs = [S] + words[:-1]
targets = words
# calculate the softmax and loss
in_tensor = convert_to_variable(inputs) # seqln
out_tensor = convert_to_variable(targets) # seqln
logits = model(in_tensor) # 1 * nwords
los... | code_fim | hard | {
"lang": "python",
"repo": "debowin/nn4nlp-code",
"path": "/06-rnn/lm-lstm-pytorch.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: debowin/nn4nlp-code path: /06-rnn/lm-lstm-pytorch.py
import time
from collections import defaultdict
import random
import math
import numpy as np
import torch
from torch import nn
from torch.autograd import Variable
torch.manual_seed(1)
# format of files: each line is "word1 word2 ..."
train_f... | code_fim | hard | {
"lang": "python",
"repo": "debowin/nn4nlp-code",
"path": "/06-rnn/lm-lstm-pytorch.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|># Perform training
best_dev = 1e20
start = time.time()
dev_time = all_tagged = this_words = this_loss = 0
for ITER in range(10):
i = 0
random.shuffle(train_order)
for sid in train_order:
i += 1
if i % int(2000) == 0:
print(
"[TRAIN] iter %r(step: %r)... | code_fim | hard | {
"lang": "python",
"repo": "debowin/nn4nlp-code",
"path": "/06-rnn/lm-lstm-pytorch.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> """A client can do post request successfully"""
response = self.httpbin_4.test_requests_post_method()
self.assertEqual(response.request.method, 'POST')
self.assertEqual(response.status_code, 200)
def test_client_can_do_patch_request(self):
"""A client can do pa... | code_fim | hard | {
"lang": "python",
"repo": "ydaniels/rapic",
"path": "/rapic/tests/test_rapic_client.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ydaniels/rapic path: /rapic/tests/test_rapic_client.py
"""Tests for rapic Client."""
import unittest
import json
import os
import requests
from urllib.parse import urlencode, urlparse, quote
from rapic.client import APIClient
from rapic.exceptions import RapicException, RapicMissingUrlData
clas... | code_fim | hard | {
"lang": "python",
"repo": "ydaniels/rapic",
"path": "/rapic/tests/test_rapic_client.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_client_can_do_get_request(self):
"""A client can do get request successfully"""
response = self.httpbin.get_my_headers(headers={'User-agent': 'Fake user agent'})
self.assertEqual(response.request.method, 'GET')
self.assertEqual(response.status_code, 200)
d... | code_fim | hard | {
"lang": "python",
"repo": "ydaniels/rapic",
"path": "/rapic/tests/test_rapic_client.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: esberglu/openstack-health path: /openstack_health/tests/test_run_aggregator.py
# Copyright 2015 Hewlett-Packard Development Company, L.P.
#
# 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 ... | code_fim | hard | {
"lang": "python",
"repo": "esberglu/openstack-health",
"path": "/openstack_health/tests/test_run_aggregator.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_that_runs_will_be_aggregated_by_day_and_project(self):
aggregator = RunAggregator(self.runs)
aggregated_runs = aggregator.aggregate(datetime_resolution='day')
expected_response = {
datetime.date(2015, 1, 2).isoformat(): {
'openstack/nova': ... | code_fim | hard | {
"lang": "python",
"repo": "esberglu/openstack-health",
"path": "/openstack_health/tests/test_run_aggregator.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tiberiu44/TTS-Cube path: /scripts/train_vocoder.py
#
# Author: Tiberiu Boros
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-... | code_fim | hard | {
"lang": "python",
"repo": "tiberiu44/TTS-Cube",
"path": "/scripts/train_vocoder.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> trainer = pl.Trainer(
accelerator=params.accelerator,
devices=params.devices,
max_epochs=-1,
callbacks=[PrintAndSaveCallback(params.output_base)]
)
trainer.fit(model, trainloader, devloader)
if __name__ == '__main__':
parser = ArgumentParser(description='... | code_fim | hard | {
"lang": "python",
"repo": "tiberiu44/TTS-Cube",
"path": "/scripts/train_vocoder.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: antoinewdg/pyffs path: /test/automaton_generation/test_position.py
from pyffs.automaton_generation.position import Position
class TestPosition:
def test_transition_with_high_tolerance(self):
p = Position(0, 0)
expected = [Position(1, 0)]
assert p.transition((1, 0), ... | code_fim | medium | {
"lang": "python",
"repo": "antoinewdg/pyffs",
"path": "/test/automaton_generation/test_position.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_transition_remove_results_above_tolerance(self):
p = Position(0, 1)
assert p.transition((1, 0), 1) == [Position(1, 1)]
assert p.transition((0, 0), 1) == []
assert p.transition((), 1) == []
def test_subsumes(self):
p = Position(0, 0)
assert... | code_fim | hard | {
"lang": "python",
"repo": "antoinewdg/pyffs",
"path": "/test/automaton_generation/test_position.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_is_subsumed_by(self):
p = Position(0, 1)
assert p.is_subsumed_by(p)
assert p.is_subsumed_by(Position(0, 0))
assert p.is_subsumed_by(Position(1, 0))
assert p.is_subsumed_by(Position(-1, 0))
assert not p.is_subsumed_by(Position(2, 0))
as... | code_fim | hard | {
"lang": "python",
"repo": "antoinewdg/pyffs",
"path": "/test/automaton_generation/test_position.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dmiyakawa/python_argparse_test_version path: /main.py
from argparse import ArgumentParser, RawDescriptionHelpFormatter
from logging import getLogger, StreamHandler, Formatter, DEBUG, INFO
<|fim_suffix|>def main():
parser = prepare_parser()
args = parser.parse_args()
logger = getLogg... | code_fim | hard | {
"lang": "python",
"repo": "dmiyakawa/python_argparse_test_version",
"path": "/main.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> parser = ArgumentParser(description=(__doc__),
formatter_class=RawDescriptionHelpFormatter)
parser.add_argument('-d', '--debug', action='store_true',
help='Show debug log')
# parser.add_argument('-v', '--version', action='version',
# ... | code_fim | medium | {
"lang": "python",
"repo": "dmiyakawa/python_argparse_test_version",
"path": "/main.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> defender = models.ForeignKey(
User,
null=True,
on_delete=models.SET_NULL,
related_name="defender_player",
)
striker = models.ForeignKey(
User,
null=True,
on_delete=models.SET_NULL,
related_name="striker_player",
)
def __... | code_fim | medium | {
"lang": "python",
"repo": "arsenico13/rtcb-backend",
"path": "/rtcbproj/rtcb/team/models.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: arsenico13/rtcb-backend path: /rtcbproj/rtcb/team/models.py
# -*- coding: utf-8 -*-
from django.db import models
from rtcb.authentication.models import User
<|fim_suffix|> def __str__(self):
return "Team: {}".format(self.name)<|fim_middle|>
class Team(models.Model):
name = models.... | code_fim | hard | {
"lang": "python",
"repo": "arsenico13/rtcb-backend",
"path": "/rtcbproj/rtcb/team/models.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>86981E-003 5.13989403115309215E-003
1.0000000000000000 0.0000000000000000
10500.000000000000 8.33795128363146176E-003 5.03298887150449396E-003
1.0000000000000000 0.0000000000000000
10600.000000000000 8.10586330598983551E-003 4.92620459440141524E-003
1.... | code_fim | hard | {
"lang": "python",
"repo": "JoelBNU/ShadowOui-Tutorial",
"path": "/SCRIPTS/crystal_mosaic_bragg.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> 4.49833880346250936E-003 3.40989164000196892E-003
1.0000000000000000 0.0000000000000000
12600.000000000000 4.33830926847456055E-003 3.34877083062859156E-003
1.0000000000000000 0.0000000000000000
12700.000000000000 4.18361853662130301E-003 3.290754300... | code_fim | hard | {
"lang": "python",
"repo": "JoelBNU/ShadowOui-Tutorial",
"path": "/SCRIPTS/crystal_mosaic_bragg.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: JoelBNU/ShadowOui-Tutorial path: /SCRIPTS/crystal_mosaic_bragg.py
.34168217528014821E-002 2.69569504792379275E-002
1.0000000000000000 0.0000000000000000
5100.0000000000000 4.20077009070887186E-002 2.58493424287771500E-002
1.0000000000000000 0.0000000000000000 ... | code_fim | hard | {
"lang": "python",
"repo": "JoelBNU/ShadowOui-Tutorial",
"path": "/SCRIPTS/crystal_mosaic_bragg.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: I201821180/gnn-asymptotics path: /gnn_normalization/lib/model/predictor.py
from chainer_chemistry import links
from . import graph_conv_predictor as g_predictor
from . import rsgcn
def setup_predictor(method, n_unit, conv_layers, class_num,
<|fim_suffix|> return g_predictor.GraphConvPredict... | code_fim | hard | {
"lang": "python",
"repo": "I201821180/gnn-asymptotics",
"path": "/gnn_normalization/lib/model/predictor.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return g_predictor.GraphConvPredictor(
model, graphout,
train_graph_conv=train_graph_conv)<|fim_prefix|># repo: I201821180/gnn-asymptotics path: /gnn_normalization/lib/model/predictor.py
from chainer_chemistry import links
from . import graph_conv_predictor as g_predictor
from . impo... | code_fim | hard | {
"lang": "python",
"repo": "I201821180/gnn-asymptotics",
"path": "/gnn_normalization/lib/model/predictor.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pscicluna/pybaycor path: /pybaycor/pybaycor.py
the input data overlaid with the ellipse described by the inferred correlated multivariate distribution
Parameters
----------
plotfile : str, optional
Name of a file to write the plot to
show : bool, optio... | code_fim | hard | {
"lang": "python",
"repo": "pscicluna/pybaycor",
"path": "/pybaycor/pybaycor.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> or you can modify the length of burn-in and number of steps with
>>> bc.fit(steps=2000, tune=2000)
Once you are happy with the fit, you can get a tabular summary with
>>> summary = bc.summarise()
and visual summaries with
>>> bc.plot_trace()
>>> bc.plot_corner()
>>> bc... | code_fim | hard | {
"lang": "python",
"repo": "pscicluna/pybaycor",
"path": "/pybaycor/pybaycor.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pscicluna/pybaycor path: /pybaycor/pybaycor.py
coords["chol_corr_dim_1"] = xr.DataArray(d1, dims=['pointwise_sel'])
#print(plot_vars)
#coords = {"chol_corr":chol_coords}
#print(coords)
#corner = gs.GridSpec(rows, cols, figure=fig
az.plot_pair(sel... | code_fim | hard | {
"lang": "python",
"repo": "pscicluna/pybaycor",
"path": "/pybaycor/pybaycor.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def iterate_file(fpath, start=None, stop=None, step=None, mmap_mode=None):
"""Iterate through the elements in a pickle (.pkl) or numpy (.npy) file. If
a pickle file, structure must be a sequence of objects, one object per
event. If a numpy file, it must be a one-dimensional structured array w... | code_fim | hard | {
"lang": "python",
"repo": "ts4051/retro",
"path": "/retro/init_obj.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ts4051/retro path: /retro/init_obj.py
if not shared_table_sd_indices:
continue
dom_tables.load_table(
fpath=fpath,
sd_indices=shared_table_sd_indices,
mmap=mmap,
)
elif '{stri... | code_fim | hard | {
"lang": "python",
"repo": "ts4051/retro",
"path": "/retro/init_obj.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> """From an event, take either pulses or photons (optionally applying
weights to the latter for angular sensitivity) and create the three
structured numpy arrays necessary for Retro to process the information as
"hits".
Parameters
----------
event : mapping
path : string
... | code_fim | hard | {
"lang": "python",
"repo": "ts4051/retro",
"path": "/retro/init_obj.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: backwardn/crocoite path: /doc/_ext/clicklist.py
"""
Render click.yaml config file into human-readable list of supported sites
"""
import pkg_resources, yaml
from docutils import nodes
from docutils.parsers.rst import Directive
from yarl import URL
<|fim_suffix|> def run(self):
# XXX:... | code_fim | medium | {
"lang": "python",
"repo": "backwardn/crocoite",
"path": "/doc/_ext/clicklist.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> item = nodes.definition_list_item ()
term = ', '.join (map (lambda x: x.host, urls)) if urls else site['match']
k = nodes.term (text=term)
item += k
item += v
l += item
return [l]
def setup(app):
app.add_directive ("clic... | code_fim | hard | {
"lang": "python",
"repo": "backwardn/crocoite",
"path": "/doc/_ext/clicklist.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ataranu/pynet_class path: /read_from_file.py
#! /usr/bin/env python
<|fim_suffix|>with open('yaml.txt') as f:
pprint(yaml.load(f))<|fim_middle|>import json
import yaml
from pprint import pprint
with open('json.txt') as f:
pprint(json.load(f))
| code_fim | medium | {
"lang": "python",
"repo": "ataranu/pynet_class",
"path": "/read_from_file.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ataranu/pynet_class path: /read_from_file.py
#! /usr/bin/env python
import json
import yaml
from pprint import pprint
<|fim_suffix|>with open('yaml.txt') as f:
pprint(yaml.load(f))<|fim_middle|>with open('json.txt') as f:
pprint(json.load(f))
| code_fim | easy | {
"lang": "python",
"repo": "ataranu/pynet_class",
"path": "/read_from_file.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>with open('json.txt') as f:
pprint(json.load(f))
with open('yaml.txt') as f:
pprint(yaml.load(f))<|fim_prefix|># repo: ataranu/pynet_class path: /read_from_file.py
#! /usr/bin/env python
<|fim_middle|>import json
import yaml
from pprint import pprint
| code_fim | easy | {
"lang": "python",
"repo": "ataranu/pynet_class",
"path": "/read_from_file.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> super(FunctionComponent, self).__init__(opts, helper.PACKAGE_NAME)
@app_function(FN_NAME)
def _app_function(self, fn_inputs):
"""
Function: Create a jira comment.
Inputs:
- fn_inputs.jira_label
- fn_inputs.task_id
- fn_inpu... | code_fim | hard | {
"lang": "python",
"repo": "ibmresilient/resilient-community-apps",
"path": "/fn_jira/fn_jira/components/jira_create_comment.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ibmresilient/resilient-community-apps path: /fn_jira/fn_jira/components/jira_create_comment.py
# -*- coding: utf-8 -*-
# pragma pylint: disable=unused-argument, no-self-use
# (c) Copyright IBM Corp. 2010, 2023. All Rights Reserved.
"""Add a comment to a Jira Issue"""
from re import subn, compile... | code_fim | hard | {
"lang": "python",
"repo": "ibmresilient/resilient-community-apps",
"path": "/fn_jira/fn_jira/components/jira_create_comment.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: beebyte/irisett path: /irisett/webmgmt/webmgmt.py
"""Webmgmt entry point.
Set up the aiohttp environment and start listening for connections.
"""
import asyncio
from aiohttp import web
# noinspection PyPackageRequirements
import aiohttp_jinja2
import jinja2
import os
from irisett import (
... | code_fim | medium | {
"lang": "python",
"repo": "beebyte/irisett",
"path": "/irisett/webmgmt/webmgmt.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def initialize(loop: asyncio.AbstractEventLoop, port: int, username: str, password: str, dbcon: DBConnection,
active_monitor_manager: ActiveMonitorManager) -> None:
"""Initialize the webmgmt listener."""
stats.set('num_calls', 0, 'WEBMGMT')
app = web.Application(loop=loop, logge... | code_fim | hard | {
"lang": "python",
"repo": "beebyte/irisett",
"path": "/irisett/webmgmt/webmgmt.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: yodigi7/pentago-python path: /src/constants/board.py
BOARD_SIZE = 6
# Used to detect when adding a line for drawing quarters.
HALF_BOARD_SIZE = (BOARD_SIZE / 2)
<|fim_suffix|>QUARTER_BOUNDARIES = {
0: (slice(0, 3), slice(0, 3)),
1: (slice(0, 3), slice(3, 6)),
2: (slice(3, 6), slice(3... | code_fim | medium | {
"lang": "python",
"repo": "yodigi7/pentago-python",
"path": "/src/constants/board.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>QUARTER_BOUNDARIES = {
0: (slice(0, 3), slice(0, 3)),
1: (slice(0, 3), slice(3, 6)),
2: (slice(3, 6), slice(3, 6)),
3: (slice(3, 6), slice(0, 3))
}<|fim_prefix|># repo: yodigi7/pentago-python path: /src/constants/board.py
BOARD_SIZE = 6
# Used to detect when adding a line for drawing quar... | code_fim | medium | {
"lang": "python",
"repo": "yodigi7/pentago-python",
"path": "/src/constants/board.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> try:
response = requests.get("http://" + str(upload_module_url()) + "/status")
result = response.json()
return result == "ready"
except Exception:
return False
def __str__(self):
return self.name<|fim_prefix|># repo: Azure-Sample... | code_fim | hard | {
"lang": "python",
"repo": "Azure-Samples/azure-intelligent-edge-patterns",
"path": "/factory-ai-vision/EdgeSolution/modules/WebModule/backend/vision_on_edge/inference_modules/models.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: IrvanDimetrio/Calculator-Fraction path: /Program.py
from fractions import Fraction as P
print "- PROGRAM MENGHITUNG BILANGAN PECAHAN"
print " "
print "1. Penjumlahan"
print "2. Pengurangan"
print "3. Perkalian"
print "4. Pembagian"
print " "
pilih = input("Masukkan Pilihan : ")
if ... | code_fim | hard | {
"lang": "python",
"repo": "IrvanDimetrio/Calculator-Fraction",
"path": "/Program.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> elif pilih == 3:
a = input("Bulat 1 : ")
b = input("Pembilang 1 : ")
c = input("Penyebut 1 : ")
d = input("Bulat 2 : ")
e = input("Pembilang 2 : ")
f = input("Penyebut 2 : ")
print "-----------------------------------"
print " ", b, (' '), (' '), e, (' ')
pri... | code_fim | hard | {
"lang": "python",
"repo": "IrvanDimetrio/Calculator-Fraction",
"path": "/Program.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>),
Method(name="stopAnimation",
params=[Param(name='sender', Type='foundation.Object')],
return_value=Return(''),
description='stops the animation of an indeterminate progress indicator',
),
Method(name="in... | code_fim | hard | {
"lang": "python",
"repo": "gemsi/cocoa",
"path": "/scripts/progress_indicator.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: gemsi/cocoa path: /scripts/progress_indicator.py
#!env python3
from generate import Component, Property, init_method, Method, Param, Return
if __name__ == "__main__":
w = Component(
Type="appkit.ProgressIndicator",
super_type='appkit.View',
description="an interface ... | code_fim | hard | {
"lang": "python",
"repo": "gemsi/cocoa",
"path": "/scripts/progress_indicator.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def spam(self, date="", page=1, page_size=1000, order_field="date", order_direction="asc"):
"""Retrieves the spam complaints for this campaign."""
params = {
"date": date,
"page": page,
"pagesize": page_size,
"orderfield": order_field,
... | code_fim | hard | {
"lang": "python",
"repo": "campaignmonitor/createsend-python",
"path": "/lib/createsend/campaign.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: campaignmonitor/createsend-python path: /lib/createsend/campaign.py
from __future__ import absolute_import
import json
from createsend.createsend import CreateSendBase
from createsend.utils import json_to_py
class Campaign(CreateSendBase):
"""Represents a campaign and provides associated ... | code_fim | hard | {
"lang": "python",
"repo": "campaignmonitor/createsend-python",
"path": "/lib/createsend/campaign.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if pkgFolder:
if args.like:
packagesLike = db.packagesLike( pkgFolder )
if len( packagesLike ) == 1:
for v in db.versions( packagesLike[0] ):
port = db.port( packagesLike[0], v )
print( port )
else:
print( packagesLike )
elif pkgVersion:
port = db.port( pkgFol... | code_fim | hard | {
"lang": "python",
"repo": "david-antiteum/vcpkg-versions",
"path": "/query.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: david-antiteum/vcpkg-versions path: /query.py
import argparse
from vcpckversions import PortsRepo, Port, PortsDB
if __name__ == "__main__":
parser = argparse.ArgumentParser( description='Query ports.' )
parser.add_argument( "--pkg", dest="pkg", help="Package to query with an optional version. ... | code_fim | hard | {
"lang": "python",
"repo": "david-antiteum/vcpkg-versions",
"path": "/query.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> assert bound.size() == ported.size()<|fim_prefix|># repo: lycantropos/cppstd path: /tests/integration_tests/vectors_tests/test_size.py
from hypothesis import given
from tests.utils import BoundPortedVectorsPair
from . import strategies
@given(strategies.vectors_pairs)
def test_basic(pair: BoundPor... | code_fim | easy | {
"lang": "python",
"repo": "lycantropos/cppstd",
"path": "/tests/integration_tests/vectors_tests/test_size.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lycantropos/cppstd path: /tests/integration_tests/vectors_tests/test_size.py
from hypothesis import given
from tests.utils import BoundPortedVectorsPair
from . import strategies
<|fim_suffix|> assert bound.size() == ported.size()<|fim_middle|>
@given(strategies.vectors_pairs)
def test_basic(... | code_fim | medium | {
"lang": "python",
"repo": "lycantropos/cppstd",
"path": "/tests/integration_tests/vectors_tests/test_size.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: AlamiMejjati/GeneratingObjectStamps path: /mask_gen.py
+ zshape)
# l = tf.nn.leaky_relu(GroupNorm(l, G=1))
# l = GNLReLU(l)
x = (LinearWrap(box)
.tf.pad([[0, 0], [3, 3], [3, 3], [0, 0]], mode='SYMMETRIC')
.Conv2D('conv0', resha... | code_fim | hard | {
"lang": "python",
"repo": "AlamiMejjati/GeneratingObjectStamps",
"path": "/mask_gen.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> @auto_reuse_variable_scope
def gen_from_zbox_adain(self, z, musigma, chan=3, n_upsampling=5):
with argscope([Conv2D, Conv2DTranspose]):
x = Conv2DTranspose('deconvInit', z, chs, 1, activation=tf.nn.leaky_relu, strides=4)
for i in range(n_upsampling):
... | code_fim | hard | {
"lang": "python",
"repo": "AlamiMejjati/GeneratingObjectStamps",
"path": "/mask_gen.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: AlamiMejjati/GeneratingObjectStamps path: /mask_gen.py
0], [3, 3], [3, 3], [0, 0]], mode='SYMMETRIC')
.Conv2D('conv0', NF, 7, padding='VALID')
.Conv2D('conv1', NF * 2, 3, strides=2)
.Conv2D('conv2', NF * 4, 3, strides=2)())
for k in r... | code_fim | hard | {
"lang": "python",
"repo": "AlamiMejjati/GeneratingObjectStamps",
"path": "/mask_gen.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> typeURI = 'https://wegenenverkeer.data.vlaanderen.be/ns/onderdeel#VRBeveiligingskaart'
"""De URI van het object volgens https://www.w3.org/2001/XMLSchema#anyURI."""
def __init__(self):
super().__init__()<|fim_prefix|># repo: davidvlaminck/OTLMOW path: /src/OTLMOW/OTLModel/Classes/Ond... | code_fim | hard | {
"lang": "python",
"repo": "davidvlaminck/OTLMOW",
"path": "/src/OTLMOW/OTLModel/Classes/Onderdeel/VRBeveiligingskaart.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: davidvlaminck/OTLMOW path: /src/OTLMOW/OTLModel/Classes/Onderdeel/VRBeveiligingskaart.py
# coding=utf-8
from OTLMOW.OTLModel.Classes.Abstracten.VRModuleMetFirmware import VRModuleMetFirmware
<|fim_suffix|> """Processorkaart die de beveiligings- en bewakingsfunctie op zich neemt. Indien bij co... | code_fim | medium | {
"lang": "python",
"repo": "davidvlaminck/OTLMOW",
"path": "/src/OTLMOW/OTLModel/Classes/Onderdeel/VRBeveiligingskaart.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if isinstance(self.params,Asignacion):
return '\t'*tab + 'if ' + self.params.toString() + ':\n' + '\t'*(tab+1) + 'goto .' + self.goto
else:
return '\t'*tab + 'if ' + self.params+ ':\n' + '\t'*(tab+1) + 'goto .' + self.goto
def setGoto(self,goto):
self... | code_fim | medium | {
"lang": "python",
"repo": "joorgej/tytus",
"path": "/parser/fase2/team27/G-27/Optimizacion/Instrucciones/ins_if.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: joorgej/tytus path: /parser/fase2/team27/G-27/Optimizacion/Instrucciones/ins_if.py
from Optimizacion.Instrucciones.instruccion import *
from Optimizacion.Asignaciones.asignacion import *
class Ins_if(Instruccion):
<|fim_suffix|> return {'ins': self.ins, 'params': self.params, 'goto': self.... | code_fim | medium | {
"lang": "python",
"repo": "joorgej/tytus",
"path": "/parser/fase2/team27/G-27/Optimizacion/Instrucciones/ins_if.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def setGoto(self,goto):
self.goto = goto
def getGoto(self):
return self.goto<|fim_prefix|># repo: joorgej/tytus path: /parser/fase2/team27/G-27/Optimizacion/Instrucciones/ins_if.py
from Optimizacion.Instrucciones.instruccion import *
from Optimizacion.Asignaciones.asignacion impor... | code_fim | hard | {
"lang": "python",
"repo": "joorgej/tytus",
"path": "/parser/fase2/team27/G-27/Optimizacion/Instrucciones/ins_if.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Handles motion detection.
Args:
frame: The frame to compare for movement.
"""
try:
print('*** MOTION DETECTED ***')
self.event_notifier.send_motion_notification()
img = Image.fromarray(frame.array, 'RGB')
filename = os.path.join(
settings['backup... | code_fim | hard | {
"lang": "python",
"repo": "betabandido/rpisurv",
"path": "/rpisurv/main.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: betabandido/rpisurv path: /rpisurv/main.py
from apscheduler.schedulers.background import BackgroundScheduler
from backup import upload_jpeg_file
from daemon import runner
import logging
from motion import MotionDetector
import os
from picamera import PiCamera
from picamera.array import PiRGBArray... | code_fim | hard | {
"lang": "python",
"repo": "betabandido/rpisurv",
"path": "/rpisurv/main.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: nagyist/sentry path: /tests/snuba/models/test_group.py
from sentry.models import Group
from sentry.testutils import SnubaTestCase, TestCase
from sentry.testutils.helpers.datetime import before_now, iso_format
from sentry.testutils.silo import region_silo_test
from sentry.types.issues import Group... | code_fim | hard | {
"lang": "python",
"repo": "nagyist/sentry",
"path": "/tests/snuba/models/test_group.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.transaction_event_1 = self.store_event(data=event_data_1, project_id=self.project.id)
self.transaction_event_2 = self.store_event(data=event_data_2, project_id=self.project.id)
self.transaction_event_3 = self.store_event(data=event_data_3, project_id=self.project.id)
p... | code_fim | hard | {
"lang": "python",
"repo": "nagyist/sentry",
"path": "/tests/snuba/models/test_group.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> Examples
--------
Source: modified from flopy.plot.plotutil.plot_shapefile
"""
import matplotlib.pyplot as plt
if 'vmin' in kwargs:
vmin = kwargs.pop('vmin')
else:
vmin = None
if 'vmax' in kwargs:
vmax = kwargs.pop('vmax')
... | code_fim | hard | {
"lang": "python",
"repo": "kbefus/wy_gwres",
"path": "/wy_gwres/utils/plot_utils.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> if ax is None:
ax = plt.gca()
cm = plt.get_cmap(cmap)
pc,bpc = shp_to_patchcollection(in_polys=in_polys,in_shp=in_shp,radius=radius)
pc.set(**kwargs)
if a is None:
nshp = len(pc.get_paths())
cccol = cm(1. * np.arange(nshp) / nshp)
if facecolor ==... | code_fim | hard | {
"lang": "python",
"repo": "kbefus/wy_gwres",
"path": "/wy_gwres/utils/plot_utils.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kbefus/wy_gwres path: /wy_gwres/utils/plot_utils.py
# -*- coding: utf-8 -*-
"""
Created on Fri Dec 08 11:52:22 2017
@author: kbefus
"""
import numpy as np
import matplotlib.pyplot as plt
from .shp_utils import shp_to_patchcollection,poly_bound_to_extent
# ------------- Gener... | code_fim | hard | {
"lang": "python",
"repo": "kbefus/wy_gwres",
"path": "/wy_gwres/utils/plot_utils.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> operations = [
migrations.CreateModel(
name='Teams',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('team_id', models.IntegerField()),
('rarity', models.Integer... | code_fim | hard | {
"lang": "python",
"repo": "wwftherocksp/Pcrd-Wiki",
"path": "/pcrd_unpack/migrations/0003_auto_20180529_1852.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: wwftherocksp/Pcrd-Wiki path: /pcrd_unpack/migrations/0003_auto_20180529_1852.py
# Generated by Django 2.0.3 on 2018-05-29 10:52
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
<|fim_suffix|> operations = [
migrations.C... | code_fim | hard | {
"lang": "python",
"repo": "wwftherocksp/Pcrd-Wiki",
"path": "/pcrd_unpack/migrations/0003_auto_20180529_1852.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Fhwang0926/class path: /python/basic/class_study_if.py
#!/usr/bin/python // 파이썬을 위한 파일임을 선언
# -*- coding: utf8 -*- // 인코딩 방식 지정 => 한글 주석으로 인한 실행 에러 방지
# Code.01
# if문 ---> 조건문 --> 조건식을 활용 --> 조건식 : 연산의 결과((T/F))bool
# 연산 결과가 논리타입으로 나오는 연산자 --> 비교연산자
# 비교 연산자 : <, >, <=, >=, ==, !=
if 10 > 1:
... | code_fim | hard | {
"lang": "python",
"repo": "Fhwang0926/class",
"path": "/python/basic/class_study_if.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># Code.14
a = ["핸드폰", "지갑", "시계"]
if "지갑1" not in a:
print("나갈 수가 없어요")
# Code.15
# if 조건식 :
# 코드블럭 ---> 코드 테스트 --> 나중에 만들 예정
if money >= 5000 :
pass
# if 조건1 :
# 코드블럭 : 조건1이 참인 경우
# elif 조건2 :
# 코드블럭 : 조건1이 거짓이면서 조건2가 참인 경우
# else:
# 코드블럭 : 조건1/조건2 모두 거짓인 경우
# Code.16
#... | code_fim | hard | {
"lang": "python",
"repo": "Fhwang0926/class",
"path": "/python/basic/class_study_if.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># Code.10
a = 8 # 1000
b = 9 # 1001
# 1001 -> 9
print(bool(a or b))
print(a or b) # a의 값이 출력됨
# Code.11
a = 9
print(bool(not a)) # !
print(not a) # ~
# Code.12
# 돈 : 3000보다 많거나 카드가 있다면 택시
# 적거나 카드가 없다면 걸어간다.
# 3000보다 많거나 카드가 있다 : money >= 3000 or ca... | code_fim | hard | {
"lang": "python",
"repo": "Fhwang0926/class",
"path": "/python/basic/class_study_if.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: STIXProject/stixproject.github.io path: /documentation/concepts/composition/observable_composition.py
#!/usr/bin/env python
# Copyright (c) 2014, The MITRE Corporation. All rights reserved.
# See LICENSE.txt for orcomplete terms.
from stix.core import STIXPackage
from stix.indicator import Indic... | code_fim | hard | {
"lang": "python",
"repo": "STIXProject/stixproject.github.io",
"path": "/documentation/concepts/composition/observable_composition.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> pkg.add_observable(andcomp)
# USE CASE: single object, one property with multiple values
obs = SocketAddress()
obs.ip_address = ['10.0.0.0', '10.0.0.1', '10.0.0.2'] # comma delimiter automagically added
obs.ip_address.condition = "Equals"
obs.ip_address.apply_condition = "ANY"
... | code_fim | hard | {
"lang": "python",
"repo": "STIXProject/stixproject.github.io",
"path": "/documentation/concepts/composition/observable_composition.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> orcomp.add(obs)
obs = File()
obs.file_name = "barfoobar"
obs.file_name.condition = "Equals"
orcomp.add(obs)
# andcomp = the above is true AND a network connection is present
andcomp = ObservableComposition()
andcomp.operator = "AND"
andcomp.add(orcomp)
obs = Ne... | code_fim | hard | {
"lang": "python",
"repo": "STIXProject/stixproject.github.io",
"path": "/documentation/concepts/composition/observable_composition.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: globocom/dojo path: /2013_08_21/numeros_romanos.py
LETRAS_ROMANAS = {
"Y": 0,
"I": 1,
"V": 5,
"X": 10,
"L": 50,
"C": 100,
"D": 500,
"M": 1000
}
<|fim_suffix|> for i in xrange(len(romano) - 1 ):
atual = LETRAS_ROMANAS[romano[i]]
prox = LETRAS_ROMANAS[romano[i + ... | code_fim | medium | {
"lang": "python",
"repo": "globocom/dojo",
"path": "/2013_08_21/numeros_romanos.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if atual < prox:
resposta -= atual
else:
resposta += atual
return resposta<|fim_prefix|># repo: globocom/dojo path: /2013_08_21/numeros_romanos.py
LETRAS_ROMANAS = {
"Y": 0,
"I": 1,
"V": 5,
"X": 10,
"L": 50,
"C": 100,
"D": 500,
"M": 1000
}
def ... | code_fim | hard | {
"lang": "python",
"repo": "globocom/dojo",
"path": "/2013_08_21/numeros_romanos.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cyrus19901/volttron path: /services/core/SQLHistorian/sqlhistorian/historian.py
LDERS AND CONTRIBUTORS "AS IS"
# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO,
# THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
# PURPOSE ARE DISCLAIMED. IN NO EVENT SHA... | code_fim | hard | {
"lang": "python",
"repo": "cyrus19901/volttron",
"path": "/services/core/SQLHistorian/sqlhistorian/historian.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cyrus19901/volttron path: /services/core/SQLHistorian/sqlhistorian/historian.py
imer in the documentation
# and/or other materials provided with the distribution.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING,... | code_fim | hard | {
"lang": "python",
"repo": "cyrus19901/volttron",
"path": "/services/core/SQLHistorian/sqlhistorian/historian.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> @doc_inherit
def query_historian(self, topic, start=None, end=None, agg_type=None,
agg_period=None, skip=0, count=None,
order="FIRST_TO_LAST"):
_log.debug("query_historian Thread is: {}".format(
threading.currentThread().getName()... | code_fim | hard | {
"lang": "python",
"repo": "cyrus19901/volttron",
"path": "/services/core/SQLHistorian/sqlhistorian/historian.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Reno-Greenleaf/tomb path: /input_output.py
class IO(object):
""" Decides which objects should react to a command. """
def fill(self): pass
def process(self, pool):
locations = pool.get_rooms()
current = []
<|fim_suffix|> pool[location].obey(command)
for name in pool.get_ro... | code_fim | hard | {
"lang": "python",
"repo": "Reno-Greenleaf/tomb",
"path": "/input_output.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> for name in pool.get_rooms()[location]:
pool[name].obey(command)
def _print(self, output):
if output:
print output<|fim_prefix|># repo: Reno-Greenleaf/tomb path: /input_output.py
class IO(object):
""" Decides which objects should react to a command. """
def fill(self): pass
... | code_fim | hard | {
"lang": "python",
"repo": "Reno-Greenleaf/tomb",
"path": "/input_output.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: milanmitric/SOFT path: /default/functions.py
import numpy as np
import cv2
import matplotlib.pyplot as plt
import math
IMAGE_WIDTH = 28
IMAGE_HEIGHT = 28
SUDOKU_SIZE = 9
N_MIN_ACTIVE_PIXELS = 10
# Uzmi ivice slike da bi se remapirala
def getOuterPoints(rcCorners):
ar = [];
ar.append(rc... | code_fim | hard | {
"lang": "python",
"repo": "milanmitric/SOFT",
"path": "/default/functions.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|># Prepoznavanje broja u pravougaoniku
def Recognize_number( x, y,warp_gray):
# Izvuci broj
[im_number, im_number_thresh, n_active_pixels] = extract_number(x, y,warp_gray)
if n_active_pixels> N_MIN_ACTIVE_PIXELS:
[x_b, y_b, w, h] = find_biggest_bounding_box(im_number_thresh)
i... | code_fim | hard | {
"lang": "python",
"repo": "milanmitric/SOFT",
"path": "/default/functions.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: alvations/sarah path: /sarah_.py
# -*- coding: utf-8 -*-
from sarah import ParallelData, Seq2Seq, L2Regularizer, Adam, Trainer
from sarah import bleu
# The input files.
src_filename = 'en.txt'
trg_filename = 'de.txt'
# Place to save the model.
model_directory = 'sarah_en-de/'
data = ParallelD... | code_fim | hard | {
"lang": "python",
"repo": "alvations/sarah",
"path": "/sarah_.py",
"mode": "psm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_suffix|># Or when loading data, use:
##ParallelData(loadfrom=model_directory)
# Define the architecture.
architecture = Seq2Seq(data,
encoder_size=512,
decoder_size=512,
memory='gru',
beam_size=3)
# Define the regularize... | code_fim | medium | {
"lang": "python",
"repo": "alvations/sarah",
"path": "/sarah_.py",
"mode": "spm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_suffix|> if center[0] > midX:
percentGX = int(((center[0] - midX)/disX)*10)
if percentGX > 9: percentGX = 9
if x2 < width:
x1 += moveX[percentGX]
x2 += moveX[percentGX]
elif center[0] < midX:
percentLX = int(((midX - center[0])/disX)*10)
if pe... | code_fim | hard | {
"lang": "python",
"repo": "kunjp188/ball-tracking",
"path": "/camera.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kunjp188/ball-tracking path: /camera.py
x1 = 0
y1 = 0
x2 = 600
y2 = 300
origWidth = 600
origHeight = 300
maxWidth = 800
maxHeight = 400
moveSpeed = 10
growSpeedX = 10
growSpeedY = 5
moveX = [0, 0, 1, 2, 3, 5, 8, 13, 21, 34]
moveY = [0, 0, 0, 0, 1, 2, 4, 6, 9, 12]
growX = [-4, -2, -2, 0, 0, 0, 2, ... | code_fim | hard | {
"lang": "python",
"repo": "kunjp188/ball-tracking",
"path": "/camera.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> percent = max(percentLX, percentGX)
if (percent > 4 and x2-x1 < maxWidth) or (percent < 5 and x2-x1 > origWidth):
if x1 > 0 and x2 < width and y1 > 0 and y2 < height:
x1 -= growX[percent]
x2 += growX[percent]
y1 -= growY[percent]
y2 += growY[... | code_fim | hard | {
"lang": "python",
"repo": "kunjp188/ball-tracking",
"path": "/camera.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: JupiterEthan/ted.python path: /tests/test_signal_io.py
#!/usr/bin/env python
"""
Test classes for writing and reading signals to and from HDF files.
"""
import unittest
import os
import numpy as np
import bionet.utils.signal_io as s
filename = 'test_signal_io_data.h5'
block_size = 10000
clas... | code_fim | medium | {
"lang": "python",
"repo": "JupiterEthan/ted.python",
"path": "/tests/test_signal_io.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> def testReadManyBlocks(self):
'''Test multi-block read of saved data.'''
r = s.ReadArray(filename)
temp = []
while True:
data_block = r.read(block_size)
if not len(data_block):
break
temp += data_block.tolist(... | code_fim | hard | {
"lang": "python",
"repo": "JupiterEthan/ted.python",
"path": "/tests/test_signal_io.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> db.collection('media').document(normalized_key).set({
'danbooru_tags': tags_obj,
'format': image_format,
'width': width,
'height': height,
}, merge=True)
hash = md5(normalized_key)
hash_prefix = hash[:2]
db.collection('media_hashset').document(hash_pre... | code_fim | hard | {
"lang": "python",
"repo": "hakatashi/HakataArchiver",
"path": "/bin/tag_executor.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
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