text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_suffix|> name = "NISTSchema-SV-IV-list-date-pattern-4"
namespace = "NISTSchema-SV-IV-list-date-pattern-4-NS"
value: List[str] = field(
default_factory=list,
metadata={
"pattern": r"20\d\d-\d0-1\d \d\d75-\d5-2\d \d\d34-0\d-2\d 19\d\d-0\d-\d4 \d\d09-0\d-\d6 19\d\d-\d3... | code_fim | medium | {
"lang": "python",
"repo": "tefra/xsdata-w3c-tests",
"path": "/output/models/nist_data/list_pkg/date/schema_instance/nistschema_sv_iv_list_date_pattern_4_xsd/nistschema_sv_iv_list_date_pattern_4.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tefra/xsdata-w3c-tests path: /output/models/nist_data/list_pkg/date/schema_instance/nistschema_sv_iv_list_date_pattern_4_xsd/nistschema_sv_iv_list_date_pattern_4.py
from dataclasses import dataclass, field
from typing import List
__NAMESPACE__ = "NISTSchema-SV-IV-list-date-pattern-4-NS"
<|fim_s... | code_fim | medium | {
"lang": "python",
"repo": "tefra/xsdata-w3c-tests",
"path": "/output/models/nist_data/list_pkg/date/schema_instance/nistschema_sv_iv_list_date_pattern_4_xsd/nistschema_sv_iv_list_date_pattern_4.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # It is a valid link; follow it
lnk.clicks += 1
lnk.last_click = timezone.now()
lnk.save()
# redirect
return redirect(lnk.url)<|fim_prefix|># repo: ethanperez/t4k-rms path: /adminlinks/views.py
from django.shortcuts import render, redirect
from django.http import HttpResponseRedirect
from dja... | code_fim | hard | {
"lang": "python",
"repo": "ethanperez/t4k-rms",
"path": "/adminlinks/views.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ethanperez/t4k-rms path: /adminlinks/views.py
from django.shortcuts import render, redirect
from django.http import HttpResponseRedirect
from django.core.urlresolvers import reverse
from django.core.exceptions import ObjectDoesNotExist
from django.utils import timezone
from riders.models import T... | code_fim | medium | {
"lang": "python",
"repo": "ethanperez/t4k-rms",
"path": "/adminlinks/views.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # See if the link is available
try:
lnk = Link.objects.get(short_link = dalink)
except ObjectDoesNotExist:
return redirect(default)
# It is a valid link; follow it
lnk.clicks += 1
lnk.last_click = timezone.now()
lnk.save()
# redirect
return redirect(lnk.url)<|fim_prefix|># rep... | code_fim | medium | {
"lang": "python",
"repo": "ethanperez/t4k-rms",
"path": "/adminlinks/views.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ehfeng/sentrycli path: /sentrycli/group.py
from collections import Counter
from datetime import datetime
from itertools import izip_longest
import json
import logging
from argh import arg, dispatching, CommandError
from prettytable import PrettyTable
from progressbar import ProgressBar
from sent... | code_fim | hard | {
"lang": "python",
"repo": "ehfeng/sentrycli",
"path": "/sentrycli/group.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
Group events by creation time.
:param events: events to group
:type: list
:param mode: grouping mode (daily or monthly)
:type: str
"""
counter = Counter()
total = 0
for event in events:
if mode == 'daily':
day = event.ctime.day
elif ... | code_fim | hard | {
"lang": "python",
"repo": "ehfeng/sentrycli",
"path": "/sentrycli/group.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if res is not None:
meta[(T_VAR, var)] = res
break
value = tuple(meta.get(key) for key in keys)
values[value] += 1
progress_bar.update(index)
print_grouping([key[1] for key in keys], values)
de... | code_fim | hard | {
"lang": "python",
"repo": "ehfeng/sentrycli",
"path": "/sentrycli/group.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def testRepr(self) -> None:
self.assertEqual(str(self.constraint), self.constraint_repr)
def testValidate(self) -> None:
self.assertTrue(self.constraint.check({"x": 0, "y": 1}))
self.assertTrue(self.constraint.check({"x": 1, "y": 1}))
self.assertFalse(self.constrai... | code_fim | hard | {
"lang": "python",
"repo": "facebook/Ax",
"path": "/ax/core/tests/test_parameter_constraint.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: facebook/Ax path: /ax/core/tests/test_parameter_constraint.py
#!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from ax.core.parameter import (
... | code_fim | hard | {
"lang": "python",
"repo": "facebook/Ax",
"path": "/ax/core/tests/test_parameter_constraint.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> output1 = 0
output2 = np.sqrt(4 / 55)
assert output1 == theils_u2_error(y_true, y_pred1)
assert output2 == theils_u2_error(y_true, y_pred2)
with pytest.raises(ValueError):
assert theils_u1_error(y_true, y_pred3)<|fim_prefix|># repo: zy82621239/wind_pow... | code_fim | hard | {
"lang": "python",
"repo": "zy82621239/wind_power_forecasting",
"path": "/wind_power_forecasting/metrics/tests/test_regression.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: zy82621239/wind_power_forecasting path: /wind_power_forecasting/metrics/tests/test_regression.py
import numpy as np
import pytest
from wind_power_forecasting.metrics.regression import theils_u1_error, theils_u2_error
<|fim_suffix|> assert output1 == theils_u1_error(y_true, y_pred1)
... | code_fim | hard | {
"lang": "python",
"repo": "zy82621239/wind_power_forecasting",
"path": "/wind_power_forecasting/metrics/tests/test_regression.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: isakib/moztrap path: /tests/model/library/api/test_suite_resource.py
"""
Tests for SuiteResource api.
"""
import json
from tests import case
from tests.case.api.crud import ApiCrudCases
class SuiteResourceTest(ApiCrudCases):
"""Please see the test cases implemented in tests.case.api.ApiCr... | code_fim | hard | {
"lang": "python",
"repo": "isakib/moztrap",
"path": "/tests/model/library/api/test_suite_resource.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> """List of fields that are required for create but read-only for update."""
return ["product"]
# additional test cases, if any
class SuiteSelectionResourceTest(case.api.ApiTestCase):
@property
def factory(self):
"""The model factory for this object."""
retu... | code_fim | hard | {
"lang": "python",
"repo": "isakib/moztrap",
"path": "/tests/model/library/api/test_suite_resource.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: TheoryDivision/EvolutionarySteering path: /commutativity_test.py
#==============================================================================#
# Daniel Nichol - 08/06/2015.
#
# We generate 100 (in the paper this is 10^6, computed using a cluster)
# pairs of markov chain transition matrices for... | code_fim | hard | {
"lang": "python",
"repo": "TheoryDivision/EvolutionarySteering",
"path": "/commutativity_test.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> K_1 = random.randint(0,N-1)
K_2 = random.randint(0,N-1)
l_1 = generateNKLandscape(N,K_1)
l_2 = generateNKLandscape(N,K_2)
limit_1 = markovModel.limitMatrix(markovModel.buildTransitionMatrix(l_1))
limit_2 = markovModel.limitMatrix(markovModel.buildTransitionMatrix(l_2))
if (limit_1*limit_2 == lim... | code_fim | medium | {
"lang": "python",
"repo": "TheoryDivision/EvolutionarySteering",
"path": "/commutativity_test.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: netbox-community/netbox path: /netbox/ipam/management/commands/rebuild_prefixes.py
from django.core.management.base import BaseCommand
from ipam.models import Prefix, VRF
from ipam.utils import rebuild_prefixes
class Command(BaseCommand):
help = "Rebuild the prefix hierarchy (depth and chi... | code_fim | medium | {
"lang": "python",
"repo": "netbox-community/netbox",
"path": "/netbox/ipam/management/commands/rebuild_prefixes.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.stdout.write(f'Rebuilding {Prefix.objects.count()} prefixes...')
# Reset existing counts
Prefix.objects.update(_depth=0, _children=0)
# Rebuild the global table
global_count = Prefix.objects.filter(vrf__isnull=True).count()
self.stdout.write(f'Global:... | code_fim | medium | {
"lang": "python",
"repo": "netbox-community/netbox",
"path": "/netbox/ipam/management/commands/rebuild_prefixes.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> for i in branch[v]:
if not check[i]:
check[i] = True
queue.appendleft(i)
ans[i] = 1 if ans[v] == 0 else 0
for i in range(q):
c, d = map(int, input().split())
if ans[c - 1] == ans[d - 1]:
print('Town')
else:
print... | code_fim | medium | {
"lang": "python",
"repo": "NULLCT/LOMC",
"path": "/src/data/359.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: NULLCT/LOMC path: /src/data/359.py
from collections import deque
n, q = map(int, input().split())
branch = [[] for i in range(n)]
<|fim_suffix|> ans[i] = 1 if ans[v] == 0 else 0
for i in range(q):
c, d = map(int, input().split())
if ans[c - 1] == ans[d - 1]:
print('... | code_fim | hard | {
"lang": "python",
"repo": "NULLCT/LOMC",
"path": "/src/data/359.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>""")
test.not_up_to_date(arguments = arguments)
test.up_to_date(arguments = arguments)
test.write(['p', 'submodule2.d'], """\
module p.submodule2;
int something_else;
""")
test.not_up_to_date(arguments = arguments)
test.up_to_date(arguments = arguments)
test.pass_test()
# Local Variables:
# tab-wi... | code_fim | hard | {
"lang": "python",
"repo": "SCons/scons",
"path": "/test/D/Scanner.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: SCons/scons path: /test/D/Scanner.py
#!/usr/bin/env python
#
# __COPYRIGHT__
#
# Permission is hereby granted, free of charge, to any person obtaining
# a copy of this software and associated documentation files (the
# "Software"), to deal in the Software without restriction, including
# without ... | code_fim | hard | {
"lang": "python",
"repo": "SCons/scons",
"path": "/test/D/Scanner.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>test.up_to_date(arguments = arguments)
test.write(['p', 'submodule2.d'], """\
module p.submodule2;
int something_else;
""")
test.not_up_to_date(arguments = arguments)
test.up_to_date(arguments = arguments)
test.pass_test()
# Local Variables:
# tab-width:4
# indent-tabs-mode:nil
# End:
# vim: set exp... | code_fim | hard | {
"lang": "python",
"repo": "SCons/scons",
"path": "/test/D/Scanner.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> print_every = config.print_every
eval_every = config.eval_every
train_data_dir, dev_data_dir = [], []
# integrate the two tasks into one dataset using task_type = 'ab'
if 'a' in task_type:
for task in task_a:
train_data_dir.append(data_dir + task + '/train.txt')
... | code_fim | hard | {
"lang": "python",
"repo": "caofaxin/2021-Sohu-Text-Matching-TOP2",
"path": "/sohu_matching/src/train.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: caofaxin/2021-Sohu-Text-Matching-TOP2 path: /sohu_matching/src/train.py
from model import BertClassifierSingleModel, NezhaClassifierSingleModel, BertClassifierTextCNNSingleModel
from data import SentencePairDataset, SentencePairDatasetWithType
from utils import pad_to_maxlen, focal_loss, FGM
from... | code_fim | hard | {
"lang": "python",
"repo": "caofaxin/2021-Sohu-Text-Matching-TOP2",
"path": "/sohu_matching/src/train.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> acc_b = metrics.accuracy_score(total_gt_b, total_preds_b) if len(total_gt_b)!=0 else 0
f1_b = metrics.f1_score(total_gt_b, total_preds_b, zero_division=0)
if (f1_b == 0):
print("F1_b = 0, checking precision, recall, fscore and support...")
print(metrics.precision_recall_fscore_... | code_fim | hard | {
"lang": "python",
"repo": "caofaxin/2021-Sohu-Text-Matching-TOP2",
"path": "/sohu_matching/src/train.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return {
"calibration": bool(data[1] & 0b01000000) if data else None,
"battery": data[2] & 0b01111111 if data else None,
"inMotion": _in_motion,
"position": (100 - _position) if reverse else _position,
"lightLevel": _light_level,
"deviceChain": _device_c... | code_fim | hard | {
"lang": "python",
"repo": "Danielhiversen/pySwitchbot",
"path": "/switchbot/adv_parsers/curtain.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Danielhiversen/pySwitchbot path: /switchbot/adv_parsers/curtain.py
"""Library to handle connection with Switchbot."""
from __future__ import annotations
def process_wocurtain(
data: bytes | None, mfr_data: bytes | None, reverse: bool = True
) -> dict[str, bool | int]:
"""Process woCurta... | code_fim | hard | {
"lang": "python",
"repo": "Danielhiversen/pySwitchbot",
"path": "/switchbot/adv_parsers/curtain.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tedder/newsblur-hyperupdater path: /update.py
#!/usr/bin/python
import grequests
for x in xrange(0,100000):
print "%i - %i" % (x*100, (x+1)*100)
reqs = (grequests.get("http://newsblur.com/reader/feed/%i" % y, headers={'User-Agent':<|fim_suffix|>rkaround-for-feeds-not-updating"}) for y in xr... | code_fim | medium | {
"lang": "python",
"repo": "tedder/newsblur-hyperupdater",
"path": "/update.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>rkaround-for-feeds-not-updating"}) for y in xrange(x*100,(x+1)*100))
print grequests.map(reqs)<|fim_prefix|># repo: tedder/newsblur-hyperupdater path: /update.py
#!/usr/bin/python
import grequests
for x in xrange(0,100000):
print "%i - %i" % (x*100, (x+<|fim_middle|>1)*100)
reqs = (grequests.get(... | code_fim | medium | {
"lang": "python",
"repo": "tedder/newsblur-hyperupdater",
"path": "/update.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: eterevsky/goban path: /game.py
from goban import run_game, GtpEngine
# gnugo = GtpEngine(['gnugo-3.8/gnugo.exe', '--mode', 'gtp'])
leela1 = GtpEngine(['leela-zero-0.17-win64/leelaz.exe', '-g', '--noponder', '-w',
'networks/57499cb9d2f90d5a0c2b1fbd2905a77093a02006bc3620cc69af78... | code_fim | hard | {
"lang": "python",
"repo": "eterevsky/goban",
"path": "/game.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>becc10a7e147d3cb9c5177a45d3659f95856cd7199d98d0f9ecaf156e.gz',
'--precision', 'single', '-b', '0'])
run_game(leela1, leela2)<|fim_prefix|># repo: eterevsky/goban path: /game.py
from goban import run_game, GtpEngine
# gnugo = GtpEngine(['gnugo-3.8/gnugo.exe', '--mode', 'gtp'])
leela1 ... | code_fim | hard | {
"lang": "python",
"repo": "eterevsky/goban",
"path": "/game.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hawwestin/MSR.APO path: /gui/operations/OperationsLinear/binary_operation.py
"""
Binaryzacja
"""
import logging
import tkinter as tk
import cv2
from cv2 import *
from gui.operations.operation_template import OperationTemplate
from gui.tabpicture import TabPicture
class OperationLightThreshold... | code_fim | hard | {
"lang": "python",
"repo": "hawwestin/MSR.APO",
"path": "/gui/operations/OperationsLinear/binary_operation.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> tto_v = tk.StringVar()
tto_v.set('Binary')
type_label = tk.Label(self.plugins, text="Typ progowania")
type_label.grid(column=0, row=0)
thresh_options = tk.OptionMenu(self.plugins, tto_v, *OperationLightThreshold.thresholdTypeOptions.keys())
thresh_options.... | code_fim | hard | {
"lang": "python",
"repo": "hawwestin/MSR.APO",
"path": "/gui/operations/OperationsLinear/binary_operation.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def threshold(x):
try:
self.tab.vision.global_prog(float(x),
OperationLightThreshold.thresholdTypeOptions[
tto_v.get()])
self.refresh()
except Excepti... | code_fim | hard | {
"lang": "python",
"repo": "hawwestin/MSR.APO",
"path": "/gui/operations/OperationsLinear/binary_operation.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Lightning-Universe/lightning-bolts path: /src/pl_bolts/models/self_supervised/moco/moco_module.py
"""Adapted from: https://github.com/facebookresearch/moco.
Original work is: Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved This implementation is: Copyright
(c) PyTorch Lightn... | code_fim | hard | {
"lang": "python",
"repo": "Lightning-Universe/lightning-bolts",
"path": "/src/pl_bolts/models/self_supervised/moco/moco_module.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def forward(self, query_images: Tensor, key_images: Tensor) -> Tuple[Tensor, Tensor]:
"""Computes the forward passes of both encoders and projection heads.
Args:
query_images: A mini-batch of query images in a ``[batch_size, num_channels, height, width]`` tensor.
... | code_fim | hard | {
"lang": "python",
"repo": "Lightning-Universe/lightning-bolts",
"path": "/src/pl_bolts/models/self_supervised/moco/moco_module.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Replaces representations in the queue, starting at the current queue pointer, and advances the pointer.
Args:
x: A mini-batch of representations. The queue size has to be a multiple of the total number of
representations across all devices.
"""
... | code_fim | hard | {
"lang": "python",
"repo": "Lightning-Universe/lightning-bolts",
"path": "/src/pl_bolts/models/self_supervised/moco/moco_module.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>with open("numbers.txt", "w") as f:
for d in data:
f.write(str(d) + "\n")<|fim_prefix|># repo: seb-mueller/python-basic path: /solutions/pybasic_ex2_3_2.py
# Script that writes the values of a list of numbers to a file,
# with each number on a seperate line.
<|fim_middle|>data = [2, 4, 6, 8,... | code_fim | easy | {
"lang": "python",
"repo": "seb-mueller/python-basic",
"path": "/solutions/pybasic_ex2_3_2.py",
"mode": "spm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: seb-mueller/python-basic path: /solutions/pybasic_ex2_3_2.py
# Script that writes the values of a list of numbers to a file,
# with each number on a seperate line.
<|fim_suffix|>with open("numbers.txt", "w") as f:
for d in data:
f.write(str(d) + "\n")<|fim_middle|>data = [2, 4, 6, 8,... | code_fim | easy | {
"lang": "python",
"repo": "seb-mueller/python-basic",
"path": "/solutions/pybasic_ex2_3_2.py",
"mode": "psm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Qvineox/School148 path: /statistic/views.py
from django.shortcuts import render
from home.views import navbar_data
<|fim_suffix|> return render(request, 'statistics/overall_statistics.html', {'navbar': navbar_data(request)})<|fim_middle|># страница главной статистики
def overall_statistics(... | code_fim | medium | {
"lang": "python",
"repo": "Qvineox/School148",
"path": "/statistic/views.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
# страница главной статистики
def overall_statistics(request):
return render(request, 'statistics/overall_statistics.html', {'navbar': navbar_data(request)})<|fim_prefix|># repo: Qvineox/School148 path: /statistic/views.py
from django.shortcuts import render
<|fim_middle|>from home.views import nav... | code_fim | easy | {
"lang": "python",
"repo": "Qvineox/School148",
"path": "/statistic/views.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: francoisgfx/plow path: /lib/python/plow/gui/common/widgets.py
gui import constants
class TableWidget(QtGui.QTableView):
def __init__(self, *args, **kwargs):
super(TableWidget, self).__init__(*args, **kwargs)
self.setEditTriggers(self.NoEditTriggers)
self.setSelecti... | code_fim | hard | {
"lang": "python",
"repo": "francoisgfx/plow",
"path": "/lib/python/plow/gui/common/widgets.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: francoisgfx/plow path: /lib/python/plow/gui/common/widgets.py
nBox(self)
self.spin.setRange(minimum, maximum)
self.spin.setValue(value)
self.spin.valueChanged.connect(self.slider.setValue)
self.slider.valueChanged.connect(self.spin.setValue)
layout.addWid... | code_fim | hard | {
"lang": "python",
"repo": "francoisgfx/plow",
"path": "/lib/python/plow/gui/common/widgets.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def _selectionChanged(self):
sel = self.getSelectedValues()
self.selectionChanged.emit(sel)
class CheckableComboBox(QtGui.QWidget):
"""
A combo box with selectable items.
"""
optionSelected = QtCore.Signal(str)
def __init__(self, title, options, selected=Non... | code_fim | hard | {
"lang": "python",
"repo": "francoisgfx/plow",
"path": "/lib/python/plow/gui/common/widgets.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Run ALCOVE on each SHJ problem
list_trackers = np.zeros((36, num_epochs, 6)) # 36 = 6 perms * 6 types, 6 = number of columns
list_idx = 0
# all permutations of stimulus dimensions
start_time = time.time()
for pidx, exemplars in enumerate(list_exemplars):
print('Permutati... | code_fim | hard | {
"lang": "python",
"repo": "alexatartaglini/alcove2",
"path": "/alcove.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: alexatartaglini/alcove2 path: /alcove.py
0 or 1/-1, depending on loss)
#
# Output
# mean probability of correct response
# mean accuracy when picking most likely response
net.eval()
n_exemplars = exemplars.size(0)
v_acc = np.zeros(n_exemplars)
v_prob = np.zeros... | code_fim | hard | {
"lang": "python",
"repo": "alexatartaglini/alcove2",
"path": "/alcove.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> results = df.groupby(args).apply(correlation).reset_index(name='corr')
cols = args + ['Correct', 'Spearman Correlation',
'Spearman p-value', 'Kendall Correlation', 'Kendall p-value']
correlations = pd.DataFrame(index=range(0, results.shape[0]),
... | code_fim | hard | {
"lang": "python",
"repo": "alexatartaglini/alcove2",
"path": "/alcove.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: andyzsf/django-shop path: /example/myshop/migrations/i18n_smartcard/0002_add_i18n.py
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.conf import settings
from django.db import migrations, models
import djangocms_text_ckeditor.fields
def move_description(apps, schema... | code_fim | hard | {
"lang": "python",
"repo": "andyzsf/django-shop",
"path": "/example/myshop/migrations/i18n_smartcard/0002_add_i18n.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> dependencies = [
('myshop', '0001_initial'),
]
operations = [
migrations.CreateModel(
name='SmartCardTranslation',
fields=[
('id', models.AutoField(verbose_name='ID', serialize=False, auto_created=True, primary_key=True)),
... | code_fim | hard | {
"lang": "python",
"repo": "andyzsf/django-shop",
"path": "/example/myshop/migrations/i18n_smartcard/0002_add_i18n.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> operations = [
migrations.CreateModel(
name='SmartCardTranslation',
fields=[
('id', models.AutoField(verbose_name='ID', serialize=False, auto_created=True, primary_key=True)),
('language_code', models.CharField(max_length=15, verbose_name... | code_fim | hard | {
"lang": "python",
"repo": "andyzsf/django-shop",
"path": "/example/myshop/migrations/i18n_smartcard/0002_add_i18n.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: GoogleCloudPlatform/python-docs-samples path: /functions/v2/label_gce_instance/main_test.py
# Copyright 2021 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the 'License');
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
... | code_fim | hard | {
"lang": "python",
"repo": "GoogleCloudPlatform/python-docs-samples",
"path": "/functions/v2/label_gce_instance/main_test.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>import main
INSTANCE_PROJECT = os.getenv("GCLOUD_PROJECT")
INSTANCE_ZONE = os.getenv("FUNCTIONS_COMPUTE_ZONE")
INSTANCE_NAME = os.getenv("FUNCTIONS_COMPUTE_INSTANCE")
instances_client = compute_v1.InstancesClient()
# Avoid race conditions from parallel multi-Python-version CI builds
PYTHON_VERSION = o... | code_fim | medium | {
"lang": "python",
"repo": "GoogleCloudPlatform/python-docs-samples",
"path": "/functions/v2/label_gce_instance/main_test.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: TheFrok/CheckersTournament path: /src/CheckersTournament/strategies/base_strategy.py
import random
from typing import List
from collections import defaultdict
from game_elements.board import Move, Board, Square
class Strategy:
<|fim_suffix|> def rank_move(self, board: Board, move: List[Move... | code_fim | hard | {
"lang": "python",
"repo": "TheFrok/CheckersTournament",
"path": "/src/CheckersTournament/strategies/base_strategy.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> d = defaultdict(list)
board_data = self.analyze_board(board) or dict()
for line in legal_moves:
d[self.rank_move(board, line, **board_data)].append(line)
best_rank = max(d.keys())
return random.choice(d[best_rank])<|fim_prefix|># repo: TheFrok/CheckersTo... | code_fim | medium | {
"lang": "python",
"repo": "TheFrok/CheckersTournament",
"path": "/src/CheckersTournament/strategies/base_strategy.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> operations = [
migrations.CreateModel(
name='Uer',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(max_length=20)),
('password', models.... | code_fim | hard | {
"lang": "python",
"repo": "luomantic/LoveFresh",
"path": "/App/migrations/0006_uer.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: luomantic/LoveFresh path: /App/migrations/0006_uer.py
# Generated by Django 2.1.7 on 2019-03-02 14:31
from django.db import migrations, models
class Migration(migrations.Migration):
<|fim_suffix|> operations = [
migrations.CreateModel(
name='Uer',
fields=[
... | code_fim | hard | {
"lang": "python",
"repo": "luomantic/LoveFresh",
"path": "/App/migrations/0006_uer.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: JeffreyDantas/Aprendizado path: /Exercícios Python Curso Em Vídeo/ex105.py
#Faça um programa que tenha uma função notas() que pode receber várias notas de alunos
#e vai retornar um dicionário com as seguintes informações:
#– Quantidade de notas
#– A maior nota
#– A menor nota
#–A média da turma
#... | code_fim | hard | {
"lang": "python",
"repo": "JeffreyDantas/Aprendizado",
"path": "/Exercícios Python Curso Em Vídeo/ex105.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> r['Situação'] = 'BOA'
elif r['Média'] >=5:
r['Situação'] = 'RAZOÁVEL'
else:
r['Situação'] = 'RUIM'
return r
resp = notas(5.5, 2.5, 1.5, sit=True)
print(resp)
#help(notas)<|fim_prefix|># repo: JeffreyDantas/Aprendizado path: /Exercícios Python Curso... | code_fim | hard | {
"lang": "python",
"repo": "JeffreyDantas/Aprendizado",
"path": "/Exercícios Python Curso Em Vídeo/ex105.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> :return: retorna os valores pedidos em dicionário!
'''
r = {}
r ['Total'] = len(n)
r ['Maior'] = max(n)
r ['Menor'] = min(n)
r ['Média'] = sum(n)/len(n)
if sit == True:
if r['Média'] >= 7:
r['Situação'] = 'BOA'
elif r['Média'] >=5:
r['Si... | code_fim | hard | {
"lang": "python",
"repo": "JeffreyDantas/Aprendizado",
"path": "/Exercícios Python Curso Em Vídeo/ex105.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Python-725/folioman path: /api/mutualfunds/migrations/0001_initial.py
# Generated by Django 3.1.8 on 2021-04-18 14:20
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
depen... | code_fim | hard | {
"lang": "python",
"repo": "Python-725/folioman",
"path": "/api/mutualfunds/migrations/0001_initial.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> "scheme",
models.ForeignKey(
on_delete=django.db.models.deletion.CASCADE,
related_name="values",
to="mutualfunds.folioscheme",
),
),
],
options={
... | code_fim | hard | {
"lang": "python",
"repo": "Python-725/folioman",
"path": "/api/mutualfunds/migrations/0001_initial.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Xeyer/template path: /python/Client/Client.py
import socket
import time
import cv2
import pickle
import zlib
import datetime
HOST = '192.168.0.101'
PORT = 13327
video = cv2.VideoCapture(0)
<|fim_suffix|>
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
s.connect((HOST, PORT))
for i in r... | code_fim | medium | {
"lang": "python",
"repo": "Xeyer/template",
"path": "/python/Client/Client.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> Echo = s.recv(1024)
s.sendall(b'')
s.close()
video.release()
cv2.destroyAllWindows()<|fim_prefix|># repo: Xeyer/template path: /python/Client/Client.py
import socket
import time
import cv2
import pickle
import zlib
import datetime
HOST = '192.168.0.101'
PORT = 13327
video = cv2.VideoCapture(0)
... | code_fim | hard | {
"lang": "python",
"repo": "Xeyer/template",
"path": "/python/Client/Client.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> today_picture = read_today()["imageLink"]
return render_template("index.html", today_post = today_picture)
#API
@app.route('/api/by_id')
def api_by_id() :
id = request.args.get('id', None)
return jsonify(get_by_id(id))<|fim_prefix|># repo: waterfox-dev/TopTweetBot path: /source/views.py
... | code_fim | easy | {
"lang": "python",
"repo": "waterfox-dev/TopTweetBot",
"path": "/source/views.py",
"mode": "spm",
"license": "CC0-1.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: waterfox-dev/TopTweetBot path: /source/views.py
from flask import Flask, render_template, request, jsonify
from source.api_reader import *
<|fim_suffix|>#API
@app.route('/api/by_id')
def api_by_id() :
id = request.args.get('id', None)
return jsonify(get_by_id(id))<|fim_middle|>
app = Fla... | code_fim | medium | {
"lang": "python",
"repo": "waterfox-dev/TopTweetBot",
"path": "/source/views.py",
"mode": "psm",
"license": "CC0-1.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>#API
@app.route('/api/by_id')
def api_by_id() :
id = request.args.get('id', None)
return jsonify(get_by_id(id))<|fim_prefix|># repo: waterfox-dev/TopTweetBot path: /source/views.py
from flask import Flask, render_template, request, jsonify
from source.api_reader import *
<|fim_middle|>app = Fla... | code_fim | medium | {
"lang": "python",
"repo": "waterfox-dev/TopTweetBot",
"path": "/source/views.py",
"mode": "spm",
"license": "CC0-1.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # return resp.content.decode('utf-8')
def resp2dynamiclist(respcontent,end):
dynamiclist = []
jsoncontent= json.loads(respcontent)
print(jsoncontent)
if 'data' not in jsoncontent:
return -1
if 'cards' not in jsoncontent['data']:
return -1
dynamiclist = jsoncon... | code_fim | hard | {
"lang": "python",
"repo": "FelixLee1995/BiliUpDynamicCrawler",
"path": "/access.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: FelixLee1995/BiliUpDynamicCrawler path: /access.py
import requests
import json
import service
def accessDynamicByUp(bilimid, end):
offset = '0'
flag = True
while flag:
if offset == -1:
break
offset = accessDynamic(bilimid, offset, end)
service.refresh... | code_fim | medium | {
"lang": "python",
"repo": "FelixLee1995/BiliUpDynamicCrawler",
"path": "/access.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def resp2dynamiclist(respcontent,end):
dynamiclist = []
jsoncontent= json.loads(respcontent)
print(jsoncontent)
if 'data' not in jsoncontent:
return -1
if 'cards' not in jsoncontent['data']:
return -1
dynamiclist = jsoncontent['data']['cards']
offset = 0
pr... | code_fim | hard | {
"lang": "python",
"repo": "FelixLee1995/BiliUpDynamicCrawler",
"path": "/access.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> DIAGONAL1 = 0
HORIZONTAL = 1
DIAGONAL2 = 2
VERTICAL = 3
SIZE = 4
RIGHT_UP = 0
RIGHT = 1
RIGHT_DOWN = 2
UP = 3
DOWN = 3
LEFT_UP = 2
LEFT = 1
LEFT_DOWN = 0<|fim_prefix|># repo: windfall-shogi/feature-annotation path: /annotation/direction.py
#!/usr/bin/... | code_fim | medium | {
"lang": "python",
"repo": "windfall-shogi/feature-annotation",
"path": "/annotation/direction.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def get_opposite_direction(direction):
"""
逆方向を求める
順方向、逆方向と動いた時に元の位置に戻れる動きを逆方向と定める
:param direction:
:return:
"""
if direction < 8:
return Direction(7 - direction)
else:
# 桂馬の動き
return Direction(19 - direction)
class PinDirection(enum.IntEnum):
... | code_fim | hard | {
"lang": "python",
"repo": "windfall-shogi/feature-annotation",
"path": "/annotation/direction.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: windfall-shogi/feature-annotation path: /annotation/direction.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import enum
__author__ = 'Yasuhiro'
__date__ = '2018/1/28'
class Direction(enum.IntEnum):
RIGHT_UP = 0
RIGHT = 1
RIGHT_DOWN = 2
UP = 3
DOWN = 4
LEFT_UP = 5
... | code_fim | hard | {
"lang": "python",
"repo": "windfall-shogi/feature-annotation",
"path": "/annotation/direction.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: wang153723482/HelloWorld_my path: /HelloWorld_python/http_spider/yuantong/getInforByYT.py
__author__ = 'wangchao'
import urllib2
import urllib
import sys
from bs4 import BeautifulSoup
from pyquery import PyQuery as pq
url = 'http://trace.yto.net.cn:8022/TraceSimple.aspx'
waybillNo = 'xxxxxxxxx'... | code_fim | hard | {
"lang": "python",
"repo": "wang153723482/HelloWorld_my",
"path": "/HelloWorld_python/http_spider/yuantong/getInforByYT.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
# urlItem = urllib2.urlopen(url)
# htmlSource = urlItem.read()
# urlItem.close()
# print(htmlSource)
# pass
# html = """ <html><head><title>The Dormouse's story</title><contents>this is contents</contents></head>
# <body>
# <p>a</p><p>b</p>
# <p>c</p>
... | code_fim | hard | {
"lang": "python",
"repo": "wang153723482/HelloWorld_my",
"path": "/HelloWorld_python/http_spider/yuantong/getInforByYT.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
# urlItem = urllib2.urlopen(url)
# htmlSource = urlItem.read()
# urlItem.close()
# print(htmlSource)
# pass
# html = """ <html><head><title>The Dormouse's story</title><contents>this is contents</contents></head>
# <body>
# <p>a</p><p>b</p>
# <p>c</p>
# </b... | code_fim | hard | {
"lang": "python",
"repo": "wang153723482/HelloWorld_my",
"path": "/HelloWorld_python/http_spider/yuantong/getInforByYT.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> return df_result, ''
def get_index_data(self, index):
base_url = "http://dcfm.eastmoney.com/em_mutisvcexpandinterface/api/js/get?type=HYZS_PageStock&token=70f12f2f4f091e459a279469fe49eca5&filter=(ID='%s')&st=DATADATE&js={\"pages\":(tp),\"data\":(x)}"
index_url = base_url % se... | code_fim | hard | {
"lang": "python",
"repo": "pacinolucifer/OpenData",
"path": "/opendatatools/shippingindex/eastmoney_agent.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pacinolucifer/OpenData path: /opendatatools/shippingindex/eastmoney_agent.py
# encoding: utf-8
import json
import pandas as pd
import datetime
from opendatatools.common import RestAgent
class EastMoneyAgent(RestAgent):
def __init__(self):
RestAgent.__init__(self)
<|fim_suffix|> ... | code_fim | hard | {
"lang": "python",
"repo": "pacinolucifer/OpenData",
"path": "/opendatatools/shippingindex/eastmoney_agent.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: auburus/pert path: /tests/test_formatters.py
import pert
def test_layout_dimensions():
<|fim_suffix|> assert (10 + 12, 100 + 20) == pert.find_layout_dimensions([box1])<|fim_middle|> project = pert.Project()
project.addTask(pert.Task("My least favourite task"))
box1 = pert.Box(pert... | code_fim | medium | {
"lang": "python",
"repo": "auburus/pert",
"path": "/tests/test_formatters.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> assert (10 + 12, 100 + 20) == pert.find_layout_dimensions([box1])<|fim_prefix|># repo: auburus/pert path: /tests/test_formatters.py
import pert
def test_layout_dimensions():
<|fim_middle|> project = pert.Project()
project.addTask(pert.Task("My least favourite task"))
box1 = pert.Box(pert... | code_fim | medium | {
"lang": "python",
"repo": "auburus/pert",
"path": "/tests/test_formatters.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: github/codeql path: /python/ql/src/experimental/Security/CWE-287/examples/auth_bad_2.py
from flask import request, Flask
import ldap
import ldap.filter
import ldap.dn
<|fim_suffix|> dn = "dc={}".format(ldap.dn.escape_dn_chars(request.args['dc']))
search_filter = "(user={})".format(ldap.f... | code_fim | easy | {
"lang": "python",
"repo": "github/codeql",
"path": "/python/ql/src/experimental/Security/CWE-287/examples/auth_bad_2.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> dn = "dc={}".format(ldap.dn.escape_dn_chars(request.args['dc']))
search_filter = "(user={})".format(ldap.filter.escape_filter_chars(request.args['search']))
ldap_connection = ldap.initialize("ldap://127.0.0.1:1337")
ldap_connection.bind('cn=root', "")
user = ldap_connection.search_s(d... | code_fim | easy | {
"lang": "python",
"repo": "github/codeql",
"path": "/python/ql/src/experimental/Security/CWE-287/examples/auth_bad_2.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> new_columns = {"selector_id", "action_type"}
new_indexes = {"idx_bulk_actions_action_type", "idx_bulk_actions_selector_id"}
_reconstruct_from_file(
hostname,
conn_string,
# use an old snapshot, it has the bulk actions table but not the new columns
file_relative... | code_fim | hard | {
"lang": "python",
"repo": "zkan/dagster",
"path": "/python_modules/libraries/dagster-mysql/dagster_mysql_tests/compat_tests/test_back_compat.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def test_add_kvs_table(hostname, conn_string):
_reconstruct_from_file(
hostname,
conn_string,
# use an old snapshot
file_relative_path(__file__, "snapshot_0_14_6_post_schema_pre_data_migration.sql"),
)
with tempfile.TemporaryDirectory() as tempdir:
wi... | code_fim | hard | {
"lang": "python",
"repo": "zkan/dagster",
"path": "/python_modules/libraries/dagster-mysql/dagster_mysql_tests/compat_tests/test_back_compat.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: zkan/dagster path: /python_modules/libraries/dagster-mysql/dagster_mysql_tests/compat_tests/test_back_compat.py
# pylint: disable=protected-access
import os
import subprocess
import tempfile
from sqlalchemy import create_engine, inspect
from dagster import AssetKey, AssetObservation, Output, j... | code_fim | hard | {
"lang": "python",
"repo": "zkan/dagster",
"path": "/python_modules/libraries/dagster-mysql/dagster_mysql_tests/compat_tests/test_back_compat.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: liuansen/python-utils-class path: /App_Base_Common/AppBase_Example.py
# -*- coding:utf-8 -*-
# author：Anson
from __future__ import unicode_literals
import sys
from AppBase import AppBase, try_except
class Example(AppBase):
app_name = 'for example'
<|fim_suffix|> exampl... | code_fim | hard | {
"lang": "python",
"repo": "liuansen/python-utils-class",
"path": "/App_Base_Common/AppBase_Example.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
if __name__ == '__main__':
op = Example()
op.run(sys.argv)
# cmd: python AppBase_Example -example 1<|fim_prefix|># repo: liuansen/python-utils-class path: /App_Base_Common/AppBase_Example.py
# -*- coding:utf-8 -*-
# author：Anson
from __future__ import unicode_literals
import sys
... | code_fim | hard | {
"lang": "python",
"repo": "liuansen/python-utils-class",
"path": "/App_Base_Common/AppBase_Example.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>anual', sa.Boolean(), nullable=False),
sa.Column('slice', sa.String(length=25), nullable=False),
sa.Column('grain', sa.String(length=100), nullable=True),
sa.Column('assigned_to', sa.String(length=75), nullable=True),
sa.Column('status_id', sa.Integer(), nullable=False),
sa.Column('act... | code_fim | hard | {
"lang": "python",
"repo": "BambooHR/rapid",
"path": "/rapid/master/data/migrations/versions/58ebb5ecef90_initial_schema.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: BambooHR/rapid path: /rapid/master/data/migrations/versions/58ebb5ecef90_initial_schema.py
"""
Copyright (c) 2015 Michael Bright and Bamboo HR LLC
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a... | code_fim | hard | {
"lang": "python",
"repo": "BambooHR/rapid",
"path": "/rapid/master/data/migrations/versions/58ebb5ecef90_initial_schema.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: archivy/archivy path: /tests/integration/test_api.py
from base64 import b64encode
from os import remove
import responses
from flask import Flask
from flask.testing import FlaskClient
from tinydb import Query
from archivy.data import create_dir, get_items, create_dir, get_item
from archivy.models... | code_fim | hard | {
"lang": "python",
"repo": "archivy/archivy",
"path": "/tests/integration/test_api.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> open("video.mp4", "a").close()
data = {"image": open("video.mp4", "r")}
resp = client.post("/api/images", data=data, content_type="multipart/form-data")
assert resp.status_code == 415
try:
open(test_app.config["USER_DIR"] + "/images/video.mp4", "r")
assert False
exc... | code_fim | hard | {
"lang": "python",
"repo": "archivy/archivy",
"path": "/tests/integration/test_api.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # logout
client.delete("/logout")
# requires converting to base64 for http basic auth
authorization = "Basic " + b64encode("halcyon:password".encode("ascii")).decode(
"ascii"
)
resp = client.post("/api/login", headers={"Authorization": authorization})
assert resp.statu... | code_fim | hard | {
"lang": "python",
"repo": "archivy/archivy",
"path": "/tests/integration/test_api.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> else:
featuresets = [(find_features(rev,wordFeatures),category) for (rev,category) in documents]
save_featuresets = open(featuresetsPath, "wb")
pickle.dump(featuresets, save_featuresets)
save_featuresets.close()
print("featuresets saved...")
r... | code_fim | hard | {
"lang": "python",
"repo": "vaibhav0000patel/Topical-Sentiment-Analysis",
"path": "/classify.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: vaibhav0000patel/Topical-Sentiment-Analysis path: /classify.py
from __future__ import division
import warnings
warnings.filterwarnings("ignore")
import nltk
from nltk.tokenize import TweetTokenizer
from nltk.tokenize import TweetTokenizer
from nltk.tokenize import word_tokenize
from nltk.classif... | code_fim | hard | {
"lang": "python",
"repo": "vaibhav0000patel/Topical-Sentiment-Analysis",
"path": "/classify.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> classifier = naiveBayes.getClassifier(path.naiveBayesPicklePATH,training_set)
MultinomialNB_classifier = multinomialNB.getClassifier(path.multinomialNBPicklePATH,training_set)
BernoulliNB_classifier = bernoulliNB.getClassifier(path.bernoulliNBPicklePATH,tra... | code_fim | hard | {
"lang": "python",
"repo": "vaibhav0000patel/Topical-Sentiment-Analysis",
"path": "/classify.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># Initialize audio
stream = pyaudio.PyAudio().open(format=pyaudio.paInt16,
channels=1,
rate=FSAMP,
input=True,
frames_per_buffer=FRAME_SIZE)
stream.start_stream()
# Create Hann... | code_fim | hard | {
"lang": "python",
"repo": "tastank/python-tuner",
"path": "/controller.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tastank/python-tuner path: /controller.py
#! /usr/bin/env python
######################################################################
# tuner.py - a minimal command-line guitar/ukulele tuner in Python.
# Requires numpy and pyaudio.
###############################################################... | code_fim | hard | {
"lang": "python",
"repo": "tastank/python-tuner",
"path": "/controller.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> value += increment
if value > max:
value = max
return value
def release(value, increment):
if value > 0:
value -= increment
if value < 0:
value = 0
return value
def center(value, increment, center):
if value > center:
value -= increment... | code_fim | hard | {
"lang": "python",
"repo": "tastank/python-tuner",
"path": "/controller.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def create_db():
r.connect(properties.get('RETHINK_HOST'), properties.get('RETHINK_PORT')).repl()
r.db_create('relayr').run()
r.db('relayr').table_create('requests').run()<|fim_prefix|># repo: keeb-zz/relayr path: /init/first.py
from config import properties
import rethinkdb as r
<|fim_mid... | code_fim | medium | {
"lang": "python",
"repo": "keeb-zz/relayr",
"path": "/init/first.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: keeb-zz/relayr path: /init/first.py
from config import properties
import rethinkdb as r
def check_db():
<|fim_suffix|> r.db_create('relayr').run()
r.db('relayr').table_create('requests').run()<|fim_middle|> r.connect(properties.get('RETHINK_HOST'), properties.get('RETHINK_PORT')).repl... | code_fim | hard | {
"lang": "python",
"repo": "keeb-zz/relayr",
"path": "/init/first.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
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