text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_suffix|> for filename in ('x.gcda', 'x.gcno'):
src_path = os.path.join(out_dir, filename)
dst_path = os.path.join(directory, filename)
os.rename(src_path, dst_path)
def clean():
for filename in os.listdir('.'):
if os.path.isdir(filename):
try:
... | code_fim | hard | {
"lang": "python",
"repo": "quark-zju/cov",
"path": "/cov/test-data/rebuild.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def parse(self, response):
MicrodataParser.convert_to_json_ld(response.selector)
item = LinkedDataParser.parse(response, "Store")
if item:
item["ref"] = response.url
item["name"] = item["name"].strip()
item["lat"] = response.xpath("//@data-la... | code_fim | hard | {
"lang": "python",
"repo": "alltheplaces/alltheplaces",
"path": "/locations/spiders/fatface.py",
"mode": "spm",
"license": "CC0-1.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> for url in self.start_urls:
if "/international/" in url:
yield Request(url=url, cookies={"selectedLocale": "en_IE"})
elif "us.fatface.com" in url:
yield Request(url=url, cookies={"selectedLocale": "en_US"})
else:
y... | code_fim | hard | {
"lang": "python",
"repo": "alltheplaces/alltheplaces",
"path": "/locations/spiders/fatface.py",
"mode": "spm",
"license": "CC0-1.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: alltheplaces/alltheplaces path: /locations/spiders/fatface.py
from scrapy.linkextractors import LinkExtractor
from scrapy.spiders import CrawlSpider, Request, Rule
from locations.linked_data_parser import LinkedDataParser
from locations.microdata_parser import MicrodataParser
class FatFaceSpid... | code_fim | medium | {
"lang": "python",
"repo": "alltheplaces/alltheplaces",
"path": "/locations/spiders/fatface.py",
"mode": "psm",
"license": "CC0-1.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: akshay-ap/aquarius path: /tests/ddos/ddo_sample_updates.py
#
# Copyright 2021 Ocean Protocol Foundation
# SPDX-License-Identifier: Apache-2.0
#
json_before = {
"@context": "https://w3id.org/future-method/v1",
"created": "2016-02-08T16:02:20Z",
"dataToken": "0xC7EC1970B09224B317c52d92f... | code_fim | hard | {
"lang": "python",
"repo": "akshay-ap/aquarius",
"path": "/tests/ddos/ddo_sample_updates.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>-02-08T16:02:20Z",
"creator": "did:example:8uQhQMGzWxR8vw5P3UWH1ja",
"signatureValue": "QNB13Y7Q9...1tzjn4w==",
},
"service": [
{
"attributes": {"main": {"cost": "10", "timeout": "0"}},
"type": "access",
"index": 0,
"serviceEn... | code_fim | hard | {
"lang": "python",
"repo": "akshay-ap/aquarius",
"path": "/tests/ddos/ddo_sample_updates.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> "uri": "http://skos.um.es/unescothes/C01194/turtle",
"mediaType": "text/turtle",
},
],
"links": [
{
"name": "Sample of Asset Data",
... | code_fim | hard | {
"lang": "python",
"repo": "akshay-ap/aquarius",
"path": "/tests/ddos/ddo_sample_updates.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: polltooh/tf_od path: /script/dataset_builder.py
import functools
import tensorflow as tf
import anchor_lib
import bbox_lib
import matcher
def convert_to_dense(tensor):
if isinstance(tensor, tf.SparseTensor):
tensor = tf.sparse_tensor_to_dense(tensor)
return tensor
def parser... | code_fim | hard | {
"lang": "python",
"repo": "polltooh/tf_od",
"path": "/script/dataset_builder.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> preprocess_data_anchor = functools.partial(
preprocess_data, anchors=anchors,
pos_iou_threshold=pos_iou_threshold, neg_iou_threshold=neg_iou_threshold,
neg_label_value=neg_label_value, ignore_label_value=ignore_label_value,
image_arg_dict=image_arg_dict)
ds = ds.ma... | code_fim | hard | {
"lang": "python",
"repo": "polltooh/tf_od",
"path": "/script/dataset_builder.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_periodic_update_schedule(self):
factory = self.replay_flight_data('mu-perodic-update-schedule')
session = factory()
project_id = 'cloud-custodian'
region = 'us-central1'
sched_client = session.client('cloudscheduler', 'v1beta1', 'projects.locations.job... | code_fim | hard | {
"lang": "python",
"repo": "cloud-custodian/cloud-custodian",
"path": "/tools/c7n_gcp/tests/test_mu_gcp.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cloud-custodian/cloud-custodian path: /tools/c7n_gcp/tests/test_mu_gcp.py
# Copyright The Cloud Custodian Authors.
# SPDX-License-Identifier: Apache-2.0
import json
import time
import os
import shutil
import sys
from c7n.exceptions import PolicyValidationError
from c7n.testing import functiona... | code_fim | hard | {
"lang": "python",
"repo": "cloud-custodian/cloud-custodian",
"path": "/tools/c7n_gcp/tests/test_mu_gcp.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # check function exists
func_info = func_client.execute_command(
'get', {'name': 'projects/{}/locations/{}/functions/instance-off'.format(
project_id, region)})
self.assertEqual(
"https://{}-{}.cloudfunctions.net/{}".format(
r... | code_fim | hard | {
"lang": "python",
"repo": "cloud-custodian/cloud-custodian",
"path": "/tools/c7n_gcp/tests/test_mu_gcp.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: raokrutarth/manufacturing-os path: /src/graph_funcs.py
def addEdge(graph, u, v):
graph[u].append(v)
# definition of function
def generate_edges(graph):
edges = []
# for each node in graph
for node in graph:
# for each neighbour node of a single node
... | code_fim | hard | {
"lang": "python",
"repo": "raokrutarth/manufacturing-os",
"path": "/src/graph_funcs.py",
"mode": "psm",
"license": "CC0-1.0",
"source": "the-stack-v2"
} |
<|fim_suffix|># function to find the shortest path
def find_shortest_path(graph, start, end, path=[]):
path = path + [start]
if start == end:
return path
shortest = None
for node in graph[start]:
if node not in path:
newpath = find_shortest_path(graph, node, end, path)
... | code_fim | hard | {
"lang": "python",
"repo": "raokrutarth/manufacturing-os",
"path": "/src/graph_funcs.py",
"mode": "spm",
"license": "CC0-1.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
# function to find the shortest path
def find_shortest_path(graph, start, end, path=[]):
path = path + [start]
if start == end:
return path
shortest = None
for node in graph[start]:
if node not in path:
newpath = find_shortest_path(graph, node, end, path) ... | code_fim | hard | {
"lang": "python",
"repo": "raokrutarth/manufacturing-os",
"path": "/src/graph_funcs.py",
"mode": "spm",
"license": "CC0-1.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: XiomRB/tytus path: /parser/team28/controllers/error_controller.py
from utils.decorators import singleton
from models.error import Error
from models.type_error import get_type_error
@singleton
class ErrorController(object):
def __init__(self):
self._idError = 0
self._errorsLi... | code_fim | hard | {
"lang": "python",
"repo": "XiomRB/tytus",
"path": "/parser/team28/controllers/error_controller.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def addExecutionError(self, noType, errorType, desc, line, column):
numberError, description = get_type_error(noType)
self._idExecutionError += 1
description += desc
self._executionErrorList.append(Error(self._idExecutionError, errorType, numberError,
... | code_fim | hard | {
"lang": "python",
"repo": "XiomRB/tytus",
"path": "/parser/team28/controllers/error_controller.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: srusskih/SublimeJEDI path: /dependencies/jedi/third_party/django-stubs/django-stubs/forms/widgets.pyi
from decimal import Decimal
from itertools import chain
from typing import Any, Callable, Dict, Iterable, Iterator, List, Mapping, Optional, Sequence, Set, Tuple, Type, Union
from django.core.fi... | code_fim | hard | {
"lang": "python",
"repo": "srusskih/SublimeJEDI",
"path": "/dependencies/jedi/third_party/django-stubs/django-stubs/forms/widgets.pyi",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>class Textarea(Widget):
template_name: str = ...
class DateTimeBaseInput(TextInput):
format_key: str = ...
format: Optional[str] = ...
def __init__(self, attrs: Optional[_OptAttrs] = ..., format: Optional[str] = ...): ...
class DateInput(DateTimeBaseInput): ...
class DateTimeInput(DateTi... | code_fim | hard | {
"lang": "python",
"repo": "srusskih/SublimeJEDI",
"path": "/dependencies/jedi/third_party/django-stubs/django-stubs/forms/widgets.pyi",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> r = serial.rx(1)
if len(r)==0:
cout("ERROR: no reply\n")
else:
cout("REPLY: %s\n" % s2hex(r))
#break
tick += 0.05
if tick > time.time():
time.sleep( tick - time.time() )
serial.close()<|fim_prefix|># repo: duparq/uProg path: /hw/testmod/main-0.py
#!/usr/b... | code_fim | hard | {
"lang": "python",
"repo": "duparq/uProg",
"path": "/hw/testmod/main-0.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: duparq/uProg path: /hw/testmod/main-0.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import sys
import os.path
sys.path.insert(1,os.path.normpath(sys.path[0]+"/hwa/python"))
sys.path.insert(2,os.path.normpath(sys.path[1]+"/pyserial-3.0"))
import __builtin__
import premain
from utils import s2... | code_fim | hard | {
"lang": "python",
"repo": "duparq/uProg",
"path": "/hw/testmod/main-0.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> \
apk del .build-deps;
EXPOSE 8080
VOLUME /application
CMD python app.py<|fim_prefix|># repo: crmne/aiohttp-prometheus path: /examples/webapp1/Dockerfile.py3
FROM python:3.6.1-alpine
ADD . /application
WORKDIR /application
RUN set -e; \
apk add --no-cache --virtual .build-deps \
gcc \
libc-dev \
... | code_fim | medium | {
"lang": "python",
"repo": "crmne/aiohttp-prometheus",
"path": "/examples/webapp1/Dockerfile.py3",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: crmne/aiohttp-prometheus path: /examples/webapp1/Dockerfile.py3
FROM python:3.6.1-alpine
ADD . /application
WORKDIR /application
RUN set<|fim_suffix|> linux-headers \
git \
; \
pip install -r src/requirements.txt; \
apk del .build-deps;
EXPOSE 8080
VOLUME /application
CMD python app.p... | code_fim | medium | {
"lang": "python",
"repo": "crmne/aiohttp-prometheus",
"path": "/examples/webapp1/Dockerfile.py3",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Return stylized day block for printing."""
if day == 0:
return " "
elif day > 0 and day < 10:
return " " + str(day) + " "
return " " + str(day)
def print_calendar(month, year):
"""Print calendar of a month of year."""
print MONTH_NAME[month - 1] + ', ' + str(... | code_fim | hard | {
"lang": "python",
"repo": "motmaytinh/pocket-calendar",
"path": "/CalendarUtils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def calculate_date(month, year):
"""Calculate calendar.
Return list of days in month."""
start_index = day_of_week(1, month, year)
end_index = num_of_day(month, year)
padding_day = [0 for i in range(0, start_index)]
days = [i for i in range(1, end_index + 1)]
return padding_da... | code_fim | hard | {
"lang": "python",
"repo": "motmaytinh/pocket-calendar",
"path": "/CalendarUtils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: motmaytinh/pocket-calendar path: /CalendarUtils.py
"""Calendar utility"""
MONTH_NAME = ["January", "February", "March", "April", "May", "June",
"July", "August", "September", "October", "November", "December"]
DAY_NAME = ["Mon", "Tue", "Wed", "Thu", "Fri", "Sat", "Sun"]
_31_DAYS_MO... | code_fim | hard | {
"lang": "python",
"repo": "motmaytinh/pocket-calendar",
"path": "/CalendarUtils.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MFernandez96/cars-python-cleaning path: /Country cleaning/Peru.py
[\s-]{0,1}\w+)[-,\s]")[0]
peru["MARCA2"] = peru["MODELO/VERSION"].str.extract(r"M\s?:\s?(\w+[\s-]{0,1}\w+)[,\s-]")[0]
# peru["MODELO1"] = peru["MODELO/VERSION"].str.extract(r"MODELO\s?:\s?(.+?)[\s,]")[0] # ORIGINAL BIEN PERO PR... | code_fim | hard | {
"lang": "python",
"repo": "MFernandez96/cars-python-cleaning",
"path": "/Country cleaning/Peru.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MFernandez96/cars-python-cleaning path: /Country cleaning/Peru.py
1":"MODELO/VERSION",
# "AÑO DE IMPORTACION":"FECHA DE IMPORTACION",
# "AÑO DE FABRICACION": "AÑO"})
# # %%
# peru = pd.concat([peru04, peru08, peru12, peru16], ignore_index... | code_fim | hard | {
"lang": "python",
"repo": "MFernandez96/cars-python-cleaning",
"path": "/Country cleaning/Peru.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
# %%
condicion = peru["MARCA"].isna()
condicion2 = peru["MODELO"].notna()
valores(peru[condicion & condicion2], "DESCRIPCION COMERCIAL 1")
# %%
peru.to_csv(r"D:\Basededatos\Limpioparaunir\peruoriginal.csv", index=False)
#peru.to_csv(r"D:\Basededatos\Limpioparaunir\peru.csv", index=False)
# %%
valores... | code_fim | hard | {
"lang": "python",
"repo": "MFernandez96/cars-python-cleaning",
"path": "/Country cleaning/Peru.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> layers = list(
_flatten_layers(
[
self.unbuildPaint(childPaint)
for childPaint in self.layers[
source["FirstLayerIndex"] : source["FirstLayerIndex"]
+ source["NumLayers"]
... | code_fim | hard | {
"lang": "python",
"repo": "catboost/catboost",
"path": "/contrib/python/fonttools/fontTools/colorLib/unbuilder.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def _unbuildPaintColrLayers(self, source):
assert source["Format"] == ot.PaintFormat.PaintColrLayers
layers = list(
_flatten_layers(
[
self.unbuildPaint(childPaint)
for childPaint in self.layers[
... | code_fim | hard | {
"lang": "python",
"repo": "catboost/catboost",
"path": "/contrib/python/fonttools/fontTools/colorLib/unbuilder.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: catboost/catboost path: /contrib/python/fonttools/fontTools/colorLib/unbuilder.py
from fontTools.ttLib.tables import otTables as ot
from .table_builder import TableUnbuilder
def unbuildColrV1(layerList, baseGlyphList):
layers = []
if layerList:
layers = layerList.Paint
unbui... | code_fim | hard | {
"lang": "python",
"repo": "catboost/catboost",
"path": "/contrib/python/fonttools/fontTools/colorLib/unbuilder.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def teardown(self):
self.log.info('Main FINISHED')<|fim_prefix|># repo: NSO-developer/nso-docker path: /test/packages/testpkg-pyvenv-a/python/testpkg_python_a/main.py
# -*- mode: python; python-indent: 4 -*-
import ncs
from ncs.dp import Action
from testpkg_python_b import main as tpb
import... | code_fim | medium | {
"lang": "python",
"repo": "NSO-developer/nso-docker",
"path": "/test/packages/testpkg-pyvenv-a/python/testpkg_python_a/main.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: NSO-developer/nso-docker path: /test/packages/testpkg-pyvenv-a/python/testpkg_python_a/main.py
# -*- mode: python; python-indent: 4 -*-
import ncs
from ncs.dp import Action
from testpkg_python_b import main as tpb
import foo
<|fim_suffix|> self.log.info('Main RUNNING')
self.regi... | code_fim | hard | {
"lang": "python",
"repo": "NSO-developer/nso-docker",
"path": "/test/packages/testpkg-pyvenv-a/python/testpkg_python_a/main.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def teardown(self):
self.log.info('Main FINISHED')<|fim_prefix|># repo: NSO-developer/nso-docker path: /test/packages/testpkg-pyvenv-a/python/testpkg_python_a/main.py
# -*- mode: python; python-indent: 4 -*-
import ncs
from ncs.dp import Action
from testpkg_python_b import main as tpb
impor... | code_fim | medium | {
"lang": "python",
"repo": "NSO-developer/nso-docker",
"path": "/test/packages/testpkg-pyvenv-a/python/testpkg_python_a/main.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.parsed_file_count += 1
# Accounts for fsevent files that get flushed to disk
# at the same time. Usually the result of a shutdown
# or unmount
if not self.is_carved_gzip and self.use_file_mod_dates:
prev_mod_date = sel... | code_fim | hard | {
"lang": "python",
"repo": "Schramp/FSEventsParser",
"path": "/FSEParser_V4.0.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Schramp/FSEventsParser path: /FSEParser_V4.0.py
self.all_records_count))
print('[FINISHED] {} UTC Parsing files.\n'.format(strftime("%m/%d/%Y %H:%M:%S", gmtime())))
print('[STARTED] {} UTC Sorting fsevents table in Database.'.format(strftime("%m/%d/%Y %H:%M:%S", ... | code_fim | hard | {
"lang": "python",
"repo": "Schramp/FSEventsParser",
"path": "/FSEParser_V4.0.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Schramp/FSEventsParser path: /FSEParser_V4.0.py
rivate/var/log/powermanagement/[\x30-\x39]{4}[.][\x30-\x39]{2}[.]" +
"[\x30-\x39]{2}[.]asl")
regex_7 = ("private/var/log/asl/AUX[.][\x30-\x39]{4}[.][\x30-\x39]{2}[.]" +
"[\x30-\x39]{2}/[0-9]{9}")
... | code_fim | hard | {
"lang": "python",
"repo": "Schramp/FSEventsParser",
"path": "/FSEParser_V4.0.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: yh-luo/prosdk-addons-python path: /tobii_research_addons/vectormath.py
'''
Copyright 2018 Tobii AB
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/l... | code_fim | hard | {
"lang": "python",
"repo": "yh-luo/prosdk-addons-python",
"path": "/tobii_research_addons/vectormath.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __sub__(self, rhs):
if isinstance(rhs, Point3):
return Vector3(self.x - rhs.x, self.y - rhs.y, self.z - rhs.z)
elif type(rhs) in [float, int]:
return Vector3(self.x - float(rhs), self.y - float(rhs), self.z - float(rhs))
else:
raise TypeE... | code_fim | hard | {
"lang": "python",
"repo": "yh-luo/prosdk-addons-python",
"path": "/tobii_research_addons/vectormath.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Geostatistic/dask-geomodeling path: /dask_geomodeling/raster/reduction.py
"""
Module containing reduction raster blocks.
"""
import numpy as np
from dask_geomodeling.utils import get_index, parse_percentile_statistic
from functools import partial
STATISTICS = {
"first": None,
"last": No... | code_fim | hard | {
"lang": "python",
"repo": "Geostatistic/dask-geomodeling",
"path": "/dask_geomodeling/raster/reduction.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> # sum, count and nans output do not contain no data: fill zeroes right away
if statistic in {"sum", "count", "nans"}:
fill_value = 0
else:
fill_value = no_data_value
# create the output array
out = np.full(shape, fill_value, dtype)
if statistic == "last":
... | code_fim | hard | {
"lang": "python",
"repo": "Geostatistic/dask-geomodeling",
"path": "/dask_geomodeling/raster/reduction.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> Returns:
dict with "values" and "no_data_value"
"""
if statistic not in STATISTICS:
percentile = parse_percentile_statistic(statistic)
if percentile is None:
raise KeyError('Unknown statistic "{}"'.format(statistic))
else:
statistic = "perc... | code_fim | hard | {
"lang": "python",
"repo": "Geostatistic/dask-geomodeling",
"path": "/dask_geomodeling/raster/reduction.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: openstack/horizon path: /openstack_dashboard/utils/futurist_utils.py
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/L... | code_fim | medium | {
"lang": "python",
"repo": "openstack/horizon",
"path": "/openstack_dashboard/utils/futurist_utils.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>def call_functions_parallel(*worker_defs):
"""Call specified functions in parallel.
:param *worker_defs: Each positional argument can be either of
a function to be called or a tuple which consists of a function,
a list of positional arguments) and keyword arguments (optional).
... | code_fim | medium | {
"lang": "python",
"repo": "openstack/horizon",
"path": "/openstack_dashboard/utils/futurist_utils.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
if getattr(sys, 'frozen', False):
# frozen
BASE_DIR = os.path.dirname(sys.executable)
else:
# unfrozen
BASE_DIR = os.path.dirname(os.path.realpath(__file__))
dirpath = BASE_DIR + '/igp-resolve/'
filename = 'igp_resolve.json'
path = os.path.join (dirpath,filename)
# Create directory if d... | code_fim | hard | {
"lang": "python",
"repo": "3fr61n/netflow-correlator",
"path": "/network-rib/data/igp_resolver.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: 3fr61n/netflow-correlator path: /network-rib/data/igp_resolver.py
import json
import requests
from requests.auth import HTTPBasicAuth
from priodict import priorityDictionary
import socket
import threading
import pprint
from collections import defaultdict
import pytricia
import sys
import os
op... | code_fim | hard | {
"lang": "python",
"repo": "3fr61n/netflow-correlator",
"path": "/network-rib/data/igp_resolver.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> dirpath = BASE_DIR + '/igp-resolve/'
filename = 'igp_resolve.json'
path = os.path.join (dirpath,filename)
# Create directory if does not exist
if not os.path.exists (dirpath):
os.makedirs (dirpath,mode=0777)
result = AutoVivification()
graph = get_link_state_graph()
print graph
nodes = grap... | code_fim | hard | {
"lang": "python",
"repo": "3fr61n/netflow-correlator",
"path": "/network-rib/data/igp_resolver.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kikyoiii/Data_Assimilation path: /src/VarDACAE/VarDA/batch_DA.py
import torch
import time
from VarDACAE import ML_utils, SplitData, fluidity
from VarDACAE.VarDA import DAPipeline
from VarDACAE.VarDA import SVD, VDAInit
from VarDACAE.utils.expdir import init_expdir
from VarDACAE.settings import h... | code_fim | hard | {
"lang": "python",
"repo": "kikyoiii/Data_Assimilation",
"path": "/src/VarDACAE/VarDA/batch_DA.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> for k, v in result.items():
totals[k] += v
return totals
@staticmethod
def __print_totals(totals, num_states, print_small):
if not print_small:
for k, v in totals.items():
print(k, "{:.2f}".format(v / num_states))
print()... | code_fim | hard | {
"lang": "python",
"repo": "kikyoiii/Data_Assimilation",
"path": "/src/VarDACAE/VarDA/batch_DA.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> dht11_pin = 23
ctrl = Controller(ROOT_DIR + '/config.json')
ctrl.connect()
ctrl.skill('humiture').plug(dht11_pin)
ctrl.wait_messages()
if __name__ == "__main__":
main()<|fim_prefix|># repo: satori-com/satori-raspberry path: /examples/humiture_dht11.py
import os
from satori_raspb... | code_fim | medium | {
"lang": "python",
"repo": "satori-com/satori-raspberry",
"path": "/examples/humiture_dht11.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: satori-com/satori-raspberry path: /examples/humiture_dht11.py
import os
from satori_raspberry.controller import Controller
ROOT_DIR = os.path.dirname(os.path.abspath(__file__))
<|fim_suffix|>if __name__ == "__main__":
main()<|fim_middle|>def main():
dht11_pin = 23
ctrl = Controller... | code_fim | medium | {
"lang": "python",
"repo": "satori-com/satori-raspberry",
"path": "/examples/humiture_dht11.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: loco-3d/sot-talos-balance path: /src/dynamic_graph/sot_talos_balance/meta_task_pose.py
from dynamic_graph import plug
from dynamic_graph.sot.core import GainAdaptive, Task
from dynamic_graph.sot.core.feature_pose import FeaturePose
class MetaTaskPose(object):
def opPointExist(self, opPoint)... | code_fim | hard | {
"lang": "python",
"repo": "loco-3d/sot-talos-balance",
"path": "/src/dynamic_graph/sot_talos_balance/meta_task_pose.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.opPoint = opPoint
if self.opPointExist(opPoint):
return
self.dyn.createOpPoint(opPoint, opPointRef)
def createFeature(self):
self.feature = FeaturePose("feature" + self.name)
self.feature.selec.value = "111111"
def createTask(self):
... | code_fim | medium | {
"lang": "python",
"repo": "loco-3d/sot-talos-balance",
"path": "/src/dynamic_graph/sot_talos_balance/meta_task_pose.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __init__(self, name, dyn, opPoint, opPointRef="right-wrist"):
self.name = name
self.defineDynEntities(dyn)
self.createOpPoint(opPoint, opPointRef)
self.createFeature()
self.createTask()
self.createGain()
self.plugEverything()
@property
... | code_fim | hard | {
"lang": "python",
"repo": "loco-3d/sot-talos-balance",
"path": "/src/dynamic_graph/sot_talos_balance/meta_task_pose.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> if self.frame_q.full():
self.frame_q.get()
if self.atari:
frame = Environment._preprocess(frame)
self.frame_q.put(frame)
def get_num_actions(self):
return self.game.env.action_space.n
def reset(self):
self.total_reward = 0
s... | code_fim | hard | {
"lang": "python",
"repo": "machine-intelligence/rl-teacher-atari",
"path": "/agents/ga3c/ga3c/Environment.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: machine-intelligence/rl-teacher-atari path: /agents/ga3c/ga3c/Environment.py
# Copyright (c) 2016, NVIDIA CORPORATION. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
# * R... | code_fim | hard | {
"lang": "python",
"repo": "machine-intelligence/rl-teacher-atari",
"path": "/agents/ga3c/ga3c/Environment.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if not self.frame_q.full():
return None # frame queue is not full yet.
x_ = np.array(self.frame_q.queue)
x_ = np.transpose(x_, [1, 2, 0]) # move channels
return x_
def _update_frame_q(self, frame):
if self.frame_q.full():
self.frame_q.... | code_fim | hard | {
"lang": "python",
"repo": "machine-intelligence/rl-teacher-atari",
"path": "/agents/ga3c/ga3c/Environment.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if set(data.keys()) - set(self.__dict__.keys()):
warnings.warn("Unknown config keys: %s" % (set(data.keys()) - set(self.__dict__.keys())))
for k, v in data.items():
if k in self.__dict__:
self.set_field(k, v)
def write_ini(self):
import ... | code_fim | hard | {
"lang": "python",
"repo": "thebjorn/pydeps",
"path": "/pydeps/configs.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: thebjorn/pydeps path: /pydeps/configs.py
from io import StringIO
import json
import warnings
import logging
log = logging.getLogger(__name__)
# from devtools import debug
HAVE_TOML = False
try:
import tomllib as toml
HAVE_TOML = True
except ImportError:
try:
import to... | code_fim | hard | {
"lang": "python",
"repo": "thebjorn/pydeps",
"path": "/pydeps/configs.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: c-yan/atcoder path: /abc/abc259/abc259d.py
from sys import setrecursionlimit, stdin
def find(parent, i):
t = parent[i]
if t < 0:
return i
t = find(parent, t)
parent[i] = t
return t
def unite(parent, i, j):
i = find(parent, i)
j = find(parent, j)
if i ==... | code_fim | hard | {
"lang": "python",
"repo": "c-yan/atcoder",
"path": "/abc/abc259/abc259d.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>N = int(readline())
sx, sy, tx, ty = map(int, readline().split())
xyr = [list(map(int, readline().split())) for _ in range(N)]
parent = [-1] * (N + 1)
for i in range(N - 1):
for j in range(i + 1, N):
if intersect(xyr[i], xyr[j]):
unite(parent, i, j)
for i in range(N):
if on_... | code_fim | medium | {
"lang": "python",
"repo": "c-yan/atcoder",
"path": "/abc/abc259/abc259d.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Elvislee123/HandwritingRecognitionPrinter path: /code/SimpleHTR-master/src/Googlesearch2.py
#activated when Button is pressed
from time import sleep
from gpiozero import LED
#Controlling the lights for feedback
led1 = LED(3)
led2 = LED(4)
#pre-Recognition light sequence
for i in range(5):
led1.o... | code_fim | hard | {
"lang": "python",
"repo": "Elvislee123/HandwritingRecognitionPrinter",
"path": "/code/SimpleHTR-master/src/Googlesearch2.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>#LED sequence for the end of phase 2
for i in range(1):
led2.on()
sleep(3)
led2.off()
#LED sequence for beginning of phase 3, printing
for i in range(5):
led1.on()
led2.on()
sleep(0.2)
led1.off()
led2.off()
servo = 25
GPIO.setmode(GPIO.BCM)
GPIO.setup(s... | code_fim | hard | {
"lang": "python",
"repo": "Elvislee123/HandwritingRecognitionPrinter",
"path": "/code/SimpleHTR-master/src/Googlesearch2.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> nodeInfo = configuration.getNode("rack1-master1", flatDeviceHierarchy=True)
assert nodeInfo.state == States.RUNNING
for deviceInfo in nodeInfo.devices.values():
log.info("Device: %s, State: %s", deviceInfo.type, deviceInfo.state)
if deviceInfo.type == "c4.devices.Unknown":
... | code_fim | hard | {
"lang": "python",
"repo": "Brewgarten/c4-system-manager",
"path": "/tests/test_system.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Brewgarten/c4-system-manager path: /tests/test_system.py
import logging
import time
from c4.system.backend import Backend
from c4.system.configuration import States
log = logging.getLogger(__name__)
def test_system(system):
logging.root.setLevel(logging.INFO)
logging.getLogger("c4.me... | code_fim | hard | {
"lang": "python",
"repo": "Brewgarten/c4-system-manager",
"path": "/tests/test_system.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> annotations = session.query(
genepanel_annotation.c.annotation_transcript,
genepanel_annotation.c.annotation_symbol,
genepanel_annotation.c.annotation_hgvsc,
).all()
al = session.query(allele.Allele).filter(allele.Allele.id == allele_id).one()
logger.echo("Ready to... | code_fim | hard | {
"lang": "python",
"repo": "dabble-of-devops-consulting/ella",
"path": "/src/cli/commands/delete/delete.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>@delete.command("alleleinterpretation")
@click.argument("allele_id", type=int)
@click.option(
"--delete-all",
is_flag=True,
help="Delete all allele interpretations, not just since last finalize",
)
@session
@cli_logger(prompt_reason=True)
def cmd_alleleinterpretation_delete(logger, session, al... | code_fim | hard | {
"lang": "python",
"repo": "dabble-of-devops-consulting/ella",
"path": "/src/cli/commands/delete/delete.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dabble-of-devops-consulting/ella path: /src/cli/commands/delete/delete.py
import click
from vardb.datamodel import sample, workflow, allele
from datalayer.queries import annotation_transcripts_genepanel
from api.schemas.alleleinterpretations import AlleleInterpretationOverviewSchema
from cli.dec... | code_fim | hard | {
"lang": "python",
"repo": "dabble-of-devops-consulting/ella",
"path": "/src/cli/commands/delete/delete.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: gokuldharan/cs224u-project path: /OP-GAN/box_generation/sample.py
import os
import argparse
import logging
import numpy as np
import math
import torch
from torch.optim.lr_scheduler import StepLR
import seq2seq
from seq2seq.trainer import SupervisedTrainer
from seq2seq.models import PreEncoderRNN... | code_fim | hard | {
"lang": "python",
"repo": "gokuldharan/cs224u-project",
"path": "/OP-GAN/box_generation/sample.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> cap_word2index = checkpoint.cap_word2index
cap_index2word = checkpoint.cap_index2word
label_word2index = checkpoint.label_word2index
label_index2word = checkpoint.label_index2word
if not os.path.isfile(opt.gaussian_dict_path):
print('calculating means and stds of box positions... | code_fim | hard | {
"lang": "python",
"repo": "gokuldharan/cs224u-project",
"path": "/OP-GAN/box_generation/sample.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>elif not opt.is_training and opt.load_checkpoint is not None:
opt.box_saving_folder = '%s_%s/'%(opt.box_saving_folder, opt.load_checkpoint)
logging.info("loading checkpoint from {}".format( opt.load_checkpoint))
checkpoint_path = os.path.join(opt.load_checkpoint)
checkpoint = Checkpoint.l... | code_fim | hard | {
"lang": "python",
"repo": "gokuldharan/cs224u-project",
"path": "/OP-GAN/box_generation/sample.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> [ [ -11.0, -3.0, -4.0 ], [ -8.0, -3.0, -7.0 ], [ 1.0, -2.0, 1.0 ], [ 0.0, 0.0, 0.5 ] ],
[ [ -16.0, -4.0, 0.0 ], [ 4.0, -3.0, 14.0 ], [ 1.0, -3.0, 0.0 ], [ 0.0, 0.0, 0.5 ] ],
[ [ -7.0, -8.0, 0.0 ], [ 5.0, -1.0, -14.0 ], [ 0.0, -3.0, 0.0 ], [ 0.0, ... | code_fim | hard | {
"lang": "python",
"repo": "mahyar-osn/scaffoldmaker",
"path": "/src/scaffoldmaker/meshtypes/meshtype_3d_colon1.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mahyar-osn/scaffoldmaker path: /src/scaffoldmaker/meshtypes/meshtype_3d_colon1.py
0.0, 0.5 ] ],
[ [ -59.1, -62.5, 170.8 ], [ 74.0, -20.1, 14.4 ], [ 0.0, 0.0, 5.0 ], [ 0.0, 0.0, 0.5 ] ],
[ [ 23.5, -53.2, 179.7 ], [ 84.6, 47.0, 6.9 ], [ 0.0, ... | code_fim | hard | {
"lang": "python",
"repo": "mahyar-osn/scaffoldmaker",
"path": "/src/scaffoldmaker/meshtypes/meshtype_3d_colon1.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>.0, 4.0, 9.0 ], [ 2.0, 2.0, 1.0 ], [ 0.0, 1.0, 2.0 ] ],
[ [ -3.0, 2.0, 3.0 ], [ -4.0, -8.0, 0.0 ], [ 2.0, -1.0, 2.0 ], [ 1.0, 0.0, 2.0 ] ],
[ [ -11.0, -3.0, -4.0 ], [ -8.0, -3.0, -7.0 ], [ 1.0, -2.0, 1.0 ], [ 0.0, 0.0, 0.5 ] ],
[ [ -16.0, -4.... | code_fim | hard | {
"lang": "python",
"repo": "mahyar-osn/scaffoldmaker",
"path": "/src/scaffoldmaker/meshtypes/meshtype_3d_colon1.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mhmgad/ExCut path: /excut/experiments/datasets.py
import os
datasets={}
experiment_name="expr10"
# add baseline_data
for ds in ['terroristAttack', 'imdb', 'uwcse', 'webkb', 'mutagenesis', 'hep']:
dataset_folder = os.path.join('/scratch/GW/pool0/gadelrab/ExDEC/data/baseline_data/', ds)
... | code_fim | hard | {
"lang": "python",
"repo": "mhmgad/ExCut",
"path": "/excut/experiments/datasets.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>for ds in ['grad_ungrad_course']:
dataset_folder = '/scratch/GW/pool0/gadelrab/ExDEC/data/uobm/'
dataset_output_folder = os.path.join('/scratch/GW/pool0/gadelrab/ExDEC/%s/uobm/' % experiment_name, ds)
datasets[ds] = {'dataset_folder': dataset_folder,
'dataset_output_folder'... | code_fim | hard | {
"lang": "python",
"repo": "mhmgad/ExCut",
"path": "/excut/experiments/datasets.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> validated1 = ValidatedMetaboliteTable.create_from_csv_file(csv_file1)
validated2 = ValidatedMetaboliteTable.create_from_csv_file(csv_file2)
db.session.add_all([validated1, validated2])
db.session.commit()
resp = client.post(url_for('csv.merge_csv_files'),
json={... | code_fim | hard | {
"lang": "python",
"repo": "girder/viime",
"path": "/tests/test_csv_file_api.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: girder/viime path: /tests/test_csv_file_api.py
from io import BytesIO
from flask import url_for
from viime.models import CSVFile, CSVFileSchema, db, ValidatedMetaboliteTable
csv_data = """
id,col1,col2
row1,0.5,2.0
row2,1.5,0
"""
def test_upload_csv_file(client):
data = {
'file':... | code_fim | hard | {
"lang": "python",
"repo": "girder/viime",
"path": "/tests/test_csv_file_api.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> expected_column_types = [{
'column_header': 'nan',
'column_index': 0,
'column_type': 'key',
'subtype': None,
'meta': None
}, {
'column_header': 'g',
'column_index': 1,
'column_type': 'group',
'subtype': None,
'meta': N... | code_fim | hard | {
"lang": "python",
"repo": "girder/viime",
"path": "/tests/test_csv_file_api.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def testUnwrapMod4(self):
data = [0, 1, 2, 0, -1, -2, -3, -4]
unwrapped_4 = misc.Unwrap(data, 4)
self.assertEqual([0, 1, 2, 0, -1, -2, -3, -4], unwrapped_4)
def testDataShouldNotChangeAfterUnwrap(self):
data = [0, 1, 2, 0, -1, -2, -3, -4]
_ = misc.Unwrap(data, 4)
self.assertE... | code_fim | hard | {
"lang": "python",
"repo": "iridium-browser/iridium-browser",
"path": "/third_party/webrtc/rtc_tools/py_event_log_analyzer/misc_test.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: iridium-browser/iridium-browser path: /third_party/webrtc/rtc_tools/py_event_log_analyzer/misc_test.py
#!/usr/bin/env python3
# Copyright (c) 2016 The WebRTC project authors. All Rights Reserved.
#
# Use of this source code is governed by a BSD-style license
# that can be found in the LICENSE ... | code_fim | hard | {
"lang": "python",
"repo": "iridium-browser/iridium-browser",
"path": "/third_party/webrtc/rtc_tools/py_event_log_analyzer/misc_test.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> for hp_key in hp.hyper_parameters[0]:
if "filter" in hp_key and len(filter_list) < conv_layers:
filter_list.append(hp.hyper_parameters[0][hp_key])
elif "pooling_type" in hp_key and len(pooling_type_list) < conv_layers:
pooling_type_list.appen... | code_fim | hard | {
"lang": "python",
"repo": "mfkiwl/AISY_Framework",
"path": "/app.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mfkiwl/AISY_Framework path: /app.py
, f in os.walk(databases_root_folder):
for file in f:
if file.endswith(".sqlite"):
db_files.append(file)
all_tables = []
all_tables_names = []
for db_file in db_files:
if os.path.exists(databases_root_f... | code_fim | hard | {
"lang": "python",
"repo": "mfkiwl/AISY_Framework",
"path": "/app.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> all_plots = []
for ds in datasets_dict:
in_file = h5py.File(datasets_root_folder + ds, "r")
profiling_samples = np.array(in_file['Profiling_traces/traces'], dtype=np.float64)
all_plots.append({
"title": ds,
"layout_plotly": plotly.get_plotly_layout... | code_fim | hard | {
"lang": "python",
"repo": "mfkiwl/AISY_Framework",
"path": "/app.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>from .widgets import (
DateInput,
DateTimeInput,
TimeInput,
)<|fim_prefix|># repo: fredpalmer/patt3rns path: /patt3rns/forms/__init__.py
# coding=utf-8
# flake8: noqa
from __future__ import unicode_literals
from .fields import (
CharField,
DateField,
DateTimeField,
TimeField,
... | code_fim | easy | {
"lang": "python",
"repo": "fredpalmer/patt3rns",
"path": "/patt3rns/forms/__init__.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: fredpalmer/patt3rns path: /patt3rns/forms/__init__.py
# coding=utf-8
# flake8: noqa
from __future__ import unicode_literals
from .fields import (
CharField,
DateField,
DateTimeField,
TimeField,
)
<|fim_suffix|>from .widgets import (
DateInput,
DateTimeInput,
TimeInput... | code_fim | easy | {
"lang": "python",
"repo": "fredpalmer/patt3rns",
"path": "/patt3rns/forms/__init__.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Teknologforeningen/svaksvat path: /csvimport/addphuxes.py
"""Script to add members from a CSV-file to the database.
"""
# imports
import csv
import sys
import os
import sqlalchemy
sys.path.append(os.path.dirname(os.getcwd())) # Add .. to path
from backend.ldaplogin import (get_member_with_rea... | code_fim | hard | {
"lang": "python",
"repo": "Teknologforeningen/svaksvat",
"path": "/csvimport/addphuxes.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> SessionMaker = connect.connect('members', 'members', 'localhost', 'members')
session = SessionMaker()
memberdictlist = csvimporter.parse_csv(sys.argv[1], ',', '"')
for memberdict in memberdictlist:
new_member = create_phux(session)
csvimporter.update_contact_info(new_memb... | code_fim | hard | {
"lang": "python",
"repo": "Teknologforeningen/svaksvat",
"path": "/csvimport/addphuxes.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>nfo(res.raw[1].authors) # hews__
logger.info(res.raw[1].url) # https://twitter.com/hews__/status/1299728221005643776
logger.info(res.raw[1].detail) # 2570x4096 JPEG 1087.9KB<|fim_prefix|># repo: 123linux456/PicImageSearch path: /test/test3.py
from loguru import logger
from PicImageSearch import Ascii... | code_fim | hard | {
"lang": "python",
"repo": "123linux456/PicImageSearch",
"path": "/test/test3.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: 123linux456/PicImageSearch path: /test/test3.py
from loguru import logger
from PicImageSearch import Ascii2D
ascii2d = Ascii2D()
res = ascii2d.search('https://pixiv.cat/77702503-1.jpg')
#res = ascii2d.search(r'C:/kitUIN/i<|fim_suffix|>witter'])>
logger.info(res.raw[1].thumbnail) # https://asci... | code_fim | medium | {
"lang": "python",
"repo": "123linux456/PicImageSearch",
"path": "/test/test3.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: scsnake/morphsnakes path: /win32func.py
import win32con, win32api, win32gui, ctypes, ctypes.wintypes
import threading
class COPYDATASTRUCT(ctypes.Structure):
_fields_ = [
('dwData', ctypes.wintypes.LPARAM),
('cbData', ctypes.wintypes.DWORD),
('lpData', ctypes.c_wchar... | code_fim | hard | {
"lang": "python",
"repo": "scsnake/morphsnakes",
"path": "/win32func.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __OnCopyData(self, hwnd, msg, wparam, lparam):
pCDS = ctypes.cast(lparam, PCOPYDATASTRUCT)
t = threading.Thread(target=self.OnCopyData if self.receiver is None else self.receiver,
kwargs={'hwnd': hwnd, 'msg': msg,
'... | code_fim | hard | {
"lang": "python",
"repo": "scsnake/morphsnakes",
"path": "/win32func.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: meejah/carml path: /carml/carml_copybin.py
import sys
import time
import functools
from zope.interface import implementer
from twisted.python import usage, log
from twisted.plugin import IPlugin
from twisted.internet import defer
from twisted.web.iweb import IAgentEndpointFactory
from twisted.we... | code_fim | medium | {
"lang": "python",
"repo": "meejah/carml",
"path": "/carml/carml_copybin.py",
"mode": "psm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_suffix|> auth = '%s %s' % (onion, cookie)
if auth not in config.HidServAuth:
config.HidServAuth.append(auth)
await config.save()
agent = tor.web_agent()
url = 'http://{}'.format(onion).encode('ascii')
print("retrieving: {}".format(url))
res = await agent.request(b'GET', url)
... | code_fim | hard | {
"lang": "python",
"repo": "meejah/carml",
"path": "/carml/carml_copybin.py",
"mode": "spm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_suffix|> new_grid = copy.deepcopy(grid)
for x_element in range(len(new_grid)):
for y_element in range(len(new_grid[x_element])):
if new_grid[x_element][y_element] == 0:
answers = ExactCover(new_grid, x_element, y_element)
for answer in answers:
... | code_fim | hard | {
"lang": "python",
"repo": "HannesHolst1/pydoku",
"path": "/backend/solve_puzzle.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: HannesHolst1/pydoku path: /backend/solve_puzzle.py
import copy
# can solve 3x3, 9x9, 16x16
block_size = 3
grid_numbers = range(1, 10)
def ReturnBlockOfCoordinates(x, y):
"""
Returns the block in which the coordinates are located.
"""
block_x = int(x / block_size)
block_y = ... | code_fim | hard | {
"lang": "python",
"repo": "HannesHolst1/pydoku",
"path": "/backend/solve_puzzle.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
Solves the given Sudoku grid using recursion.
"""
if is_grid_solved(grid):
return grid
new_grid = copy.deepcopy(grid)
for x_element in range(len(new_grid)):
for y_element in range(len(new_grid[x_element])):
if new_grid[x_element][y_element] == 0:
... | code_fim | hard | {
"lang": "python",
"repo": "HannesHolst1/pydoku",
"path": "/backend/solve_puzzle.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> dependencies = [
('shepherd', '0004_auto_20190910_0113'),
]
operations = [
migrations.AlterField(
model_name='serverhistory',
name='activity_type',
field=models.ForeignKey(help_text='Select the intended activity to be performed by the server... | code_fim | medium | {
"lang": "python",
"repo": "chrismaddalena/Ghostwriter",
"path": "/ghostwriter/shepherd/migrations/0005_auto_20191001_1352.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> operations = [
migrations.AlterField(
model_name='serverhistory',
name='activity_type',
field=models.ForeignKey(help_text='Select the intended activity to be performed by the server', on_delete=django.db.models.deletion.PROTECT, to='shepherd.ActivityType'),
... | code_fim | medium | {
"lang": "python",
"repo": "chrismaddalena/Ghostwriter",
"path": "/ghostwriter/shepherd/migrations/0005_auto_20191001_1352.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.