text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_prefix|># repo: sympy/sympy path: /sympy/physics/mechanics/tests/test_jointsmethod.py
from sympy.core.function import expand
from sympy.core.symbol import symbols
from sympy.functions.elementary.trigonometric import (cos, sin)
from sympy.matrices.dense import Matrix
from sympy.simplify.trigsimp import trigsimp
f... | code_fim | hard | {
"lang": "python",
"repo": "sympy/sympy",
"path": "/sympy/physics/mechanics/tests/test_jointsmethod.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> elif isinstance(idx, slice):
start, stop, stride = idx.indices(len(self))
try:
it = iter(value)
except TypeError:
raise TypeError(f'values `{value}` must be iterable!')
else:
p, i = self.head, 0
... | code_fim | hard | {
"lang": "python",
"repo": "Pyabecedarian/Algorithms-and-Data-Structures-using-Python",
"path": "/Stage_1/Task2_LinkedList/linkedlist.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Pyabecedarian/Algorithms-and-Data-Structures-using-Python path: /Stage_1/Task2_LinkedList/linkedlist.py
"""
Linked List is a collection of items where each item holds a relative position with respect to the others.
The structure seems like:
head -> node1 -> node2 -> ... -> tail
We can defin... | code_fim | hard | {
"lang": "python",
"repo": "Pyabecedarian/Algorithms-and-Data-Structures-using-Python",
"path": "/Stage_1/Task2_LinkedList/linkedlist.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: wanghaisheng/Hashtag-Monitor path: /hashtag_monitor/apps/monitor/migrations/0006_auto_20191219_1729.py
# Generated by Django 3.0 on 2019-12-19 17:29
from django.db import migrations, models
<|fim_suffix|> operations = [
migrations.RemoveField(
model_name='tweet',
... | code_fim | medium | {
"lang": "python",
"repo": "wanghaisheng/Hashtag-Monitor",
"path": "/hashtag_monitor/apps/monitor/migrations/0006_auto_20191219_1729.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> operations = [
migrations.RemoveField(
model_name='tweet',
name='hashtag',
),
migrations.AddField(
model_name='tweet',
name='hashtags',
field=models.ManyToManyField(to='monitor.Hashtag'),
),
]<|fim_prefix|>... | code_fim | medium | {
"lang": "python",
"repo": "wanghaisheng/Hashtag-Monitor",
"path": "/hashtag_monitor/apps/monitor/migrations/0006_auto_20191219_1729.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: samlet/stack path: /interacts/sl_tests_df.py
import streamlit as st
import pandas as pd
import numpy as np
from interacts.common import display_lang_selector
# from interacts.map_store import map_store
from interacts.json_store import json_store
from interacts.sl_utils import all_labels, write_s... | code_fim | hard | {
"lang": "python",
"repo": "samlet/stack",
"path": "/interacts/sl_tests_df.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> df1 = pd.DataFrame(
np.random.randn(3, 20),
columns=('col %d' % i for i in range(20)))
my_table = st.table(df1)
if st.button('Add rows'):
df2 = pd.DataFrame(
np.random.randn(3, 20),
columns=('col %d' % i for i in range(20)))
my_table.a... | code_fim | hard | {
"lang": "python",
"repo": "samlet/stack",
"path": "/interacts/sl_tests_df.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> st.write(opt_vals)
if st.button('Add a record'):
json_store.add()
my_placeholder.table(json_store.get_df())
if st.button('Clear'):
json_store.clear()
my_placeholder.table(json_store.get_df())
def main():
sidebar()
st.subheader("Data frame Application"... | code_fim | hard | {
"lang": "python",
"repo": "samlet/stack",
"path": "/interacts/sl_tests_df.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: taka-mochi/cryptocurrency-autotrading path: /real_trade/api/binance_api/order.py
# coding: utf-8
from binance_api.servicebase import ServiceBase
import json
from binance.client import Client
from binance.exceptions import BinanceAPIException
class Order(ServiceBase):
def _get_filter(self, s... | code_fim | hard | {
"lang": "python",
"repo": "taka-mochi/cryptocurrency-autotrading",
"path": "/real_trade/api/binance_api/order.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
ret example
{
"symbol": "BTCUSDT",
"orderId": 28,
"clientOrderId": "6gCrw2kRUAF9CvJDGP16IP",
"transactTime": 1507725176595,
"price": "0.00000000",
"origQty": "10.00000000",
"executedQty": "10.00000000",
"status": "... | code_fim | hard | {
"lang": "python",
"repo": "taka-mochi/cryptocurrency-autotrading",
"path": "/real_trade/api/binance_api/order.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: curest0x1021/Python-Django-Web path: /Tan_ShinYi/Assignments/Flask_Fundamentals/5_Ninja_Gold/server.py
from flask import Flask, render_template, session, request, redirect
import random
from time import localtime, strftime
app = Flask(__name__)
app.secret_key = 'my_secret_key'
<|fim_suffix|>@app... | code_fim | medium | {
"lang": "python",
"repo": "curest0x1021/Python-Django-Web",
"path": "/Tan_ShinYi/Assignments/Flask_Fundamentals/5_Ninja_Gold/server.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> location = {
'farm':random.randint(10,20),
'cave':random.randint(5,10),
'house':random.randint(2,5),
'casino':random.randint(-50,50),
}
if request.form['location'] in location:
result = location[request.form['location']]
session['gold'] = session... | code_fim | medium | {
"lang": "python",
"repo": "curest0x1021/Python-Django-Web",
"path": "/Tan_ShinYi/Assignments/Flask_Fundamentals/5_Ninja_Gold/server.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>@app.route('/reset') #I've included this route for dev's to reset the page
def reset(): #for the purposes of debugging
session.clear()
return redirect('/')
if __name__ == '__main__':
app.run(debug = True)<|fim_prefix|># repo: curest0x1021/Python-Django-Web path: /Tan_ShinYi/Assignments... | code_fim | hard | {
"lang": "python",
"repo": "curest0x1021/Python-Django-Web",
"path": "/Tan_ShinYi/Assignments/Flask_Fundamentals/5_Ninja_Gold/server.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: NickKeller/azure-cli-extensions path: /src/devcenter/azext_devcenter/_validators.py
# --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the p... | code_fim | medium | {
"lang": "python",
"repo": "NickKeller/azure-cli-extensions",
"path": "/src/devcenter/azext_devcenter/_validators.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> regex = "([01]?[0-9]|2[0-3]):[0-5][0-9]"
pattern = re.compile(regex)
validation = pattern.match(namespace.delay_time)
if validation is None:
raise InvalidArgumentValueError("--delay-time should be in the format HH:MM")<|fim_prefix|># repo: NickKeller/azure-cli-extensions path: /sr... | code_fim | hard | {
"lang": "python",
"repo": "NickKeller/azure-cli-extensions",
"path": "/src/devcenter/azext_devcenter/_validators.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
# The Jquery fullcalendar app requires a JSON news feed, so this function
# creates the feed from upcoming SeriesClass and Event objects.
def json_event_feed(request, instructorFeedKey='', locationId=None, roomId=None):
if not getConstant('calendar__calendarFeedEnabled'):
return JsonResponse... | code_fim | hard | {
"lang": "python",
"repo": "django-danceschool/django-danceschool",
"path": "/danceschool/core/feeds.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>
if not getConstant('calendar__calendarFeedEnabled'):
return JsonResponse({})
startDate = request.GET.get('start', '')
endDate = request.GET.get('end', '')
timeZone = request.GET.get('timezone', getattr(settings, 'TIME_ZONE', 'UTC'))
filters = (
Q(event__month__isnull... | code_fim | hard | {
"lang": "python",
"repo": "django-danceschool/django-danceschool",
"path": "/danceschool/core/feeds.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: django-danceschool/django-danceschool path: /danceschool/core/feeds.py
from django.http import JsonResponse
from django.db.models import Q
from django.utils.translation import gettext_lazy as _
from django.conf import settings
from django.utils import timezone
from django_ical.views import ICalF... | code_fim | hard | {
"lang": "python",
"repo": "django-danceschool/django-danceschool",
"path": "/danceschool/core/feeds.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bruinhomesolutions/cascara path: /getdata/forms.py
from django import forms
from .models import DataPoint
<|fim_suffix|> class Meta:
model = DataPoint
fields = ['category', 'data'] # removing user. we'll handle that in view<|fim_middle|>class DataForm(forms.ModelForm):
| code_fim | easy | {
"lang": "python",
"repo": "bruinhomesolutions/cascara",
"path": "/getdata/forms.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> model = DataPoint
fields = ['category', 'data'] # removing user. we'll handle that in view<|fim_prefix|># repo: bruinhomesolutions/cascara path: /getdata/forms.py
from django import forms
from .models import DataPoint
class DataForm(forms.ModelForm):
<|fim_middle|> class Meta:
| code_fim | easy | {
"lang": "python",
"repo": "bruinhomesolutions/cascara",
"path": "/getdata/forms.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> class Meta:
model = DataPoint
fields = ['category', 'data'] # removing user. we'll handle that in view<|fim_prefix|># repo: bruinhomesolutions/cascara path: /getdata/forms.py
from django import forms
from .models import DataPoint
<|fim_middle|>class DataForm(forms.ModelForm):
| code_fim | easy | {
"lang": "python",
"repo": "bruinhomesolutions/cascara",
"path": "/getdata/forms.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __init__(self, root=None, hostname=None, data_location_code=None):
"""
:param office365.onedrive.root.Root root: The hostname for the site collection.
:param str hostname: The hostname for the site collection.
:param str data_location_code: The geographic region co... | code_fim | medium | {
"lang": "python",
"repo": "vgrem/Office365-REST-Python-Client",
"path": "/office365/onedrive/sites/site_collection.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: vgrem/Office365-REST-Python-Client path: /office365/onedrive/sites/site_collection.py
from office365.runtime.client_value import ClientValue
class SiteCollection(ClientValue):
<|fim_suffix|> """
:param office365.onedrive.root.Root root: The hostname for the site collection.
... | code_fim | medium | {
"lang": "python",
"repo": "vgrem/Office365-REST-Python-Client",
"path": "/office365/onedrive/sites/site_collection.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> :param office365.onedrive.root.Root root: The hostname for the site collection.
:param str hostname: The hostname for the site collection.
:param str data_location_code: The geographic region code for where this site collection resides
"""
super(SiteCollection, self... | code_fim | medium | {
"lang": "python",
"repo": "vgrem/Office365-REST-Python-Client",
"path": "/office365/onedrive/sites/site_collection.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
@dataclass(eq=False)
class If(Statement):
ifs_and_elifs: List[Tuple[Expression, List[Statement]]] # never empty list
else_block: List[Statement]
# for init; cond; incr
@dataclass(eq=False)
class ForLoopHeader:
init: List[Statement]
cond: Optional[Expression]
incr: List[Statement]
... | code_fim | hard | {
"lang": "python",
"repo": "Akuli/oomph",
"path": "/pyoomph/ast.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Akuli/oomph path: /pyoomph/ast.py
from __future__ import annotations
from dataclasses import dataclass
from pathlib import Path
from typing import List, Optional, Tuple, Union
@dataclass(eq=False)
class Type:
pass
@dataclass(eq=False)
class AutoType(Type):
pass
@dataclass(eq=False)... | code_fim | hard | {
"lang": "python",
"repo": "Akuli/oomph",
"path": "/pyoomph/ast.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sofroniewn/image-demos path: /examples/keiser_tiles.py
"""
Dynamically load irregularly shapes images of ants and bees
"""
import numpy as np
from dask_image.imread import imread
from dask.cache import Cache
from napari import Viewer, gui_qt
from pandas import read_csv
from glob import glob
ca... | code_fim | hard | {
"lang": "python",
"repo": "sofroniewn/image-demos",
"path": "/examples/keiser_tiles.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> # def forward(viewer):
# """Increments the current view by one
# """
# current = viewer.dims.indices[0]
# if current + 1 < viewer.dims.range[0][1]:
# viewer.dims.set_point(0, current + 1)
#
# def backward(viewer):
# """Decrements the current ... | code_fim | hard | {
"lang": "python",
"repo": "sofroniewn/image-demos",
"path": "/examples/keiser_tiles.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cbosdo/salt-lsp path: /salt_lsp/workspace.py
"""Module implementing a custom workspace that automatically updates the parsed
contents utilizing the existing Workspace implementation from pygls.
"""
from logging import getLogger, Logger, DEBUG
from pathlib import Path
from platform import python_... | code_fim | hard | {
"lang": "python",
"repo": "cbosdo/salt-lsp",
"path": "/salt_lsp/workspace.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> @property
def trees(self) -> UriDict[Tree]:
"""A dictionary which contains the parsed :ref:`Tree` for each document
tracked by the workspace.
"""
return self._trees
@property
def document_symbols(self) -> UriDict[List[types.DocumentSymbol]]:
"""The ... | code_fim | hard | {
"lang": "python",
"repo": "cbosdo/salt-lsp",
"path": "/salt_lsp/workspace.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: woctezuma/steam-reviews path: /download_reviews.py
import steamreviews
def main(download_reference_hidden_gems_as_well=False):
if download_reference_hidden_gems_as_well:
from appids import appid_hidden_gems_reference_set
<|fim_suffix|> # All the remaining hidden-gem candidates, ... | code_fim | medium | {
"lang": "python",
"repo": "woctezuma/steam-reviews",
"path": "/download_reviews.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # All the reference hidden-gems
steamreviews.download_reviews_for_app_id_batch(appid_hidden_gems_reference_set)
# All the remaining hidden-gem candidates, which app_ids are stored in idlist.txt
steamreviews.download_reviews_for_app_id_batch()
return True
if __name__ == "__m... | code_fim | medium | {
"lang": "python",
"repo": "woctezuma/steam-reviews",
"path": "/download_reviews.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>N=3
M = confusion_matrix([.55]*N)
for j in range(5000):
P = np.array([1.0/N]*N)
actual_classification = weighted_choice(P)
votes = np.array([], dtype='int')
for i in range(num_classifications):
old_shannon = shannon(P)
prob_classification = np.dot(M, P)
report = we... | code_fim | hard | {
"lang": "python",
"repo": "visenger/aggregation",
"path": "/blog/expected_information.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: visenger/aggregation path: /blog/expected_information.py
import matplotlib
#matplotlib.use('WXAgg')
import matplotlib.pyplot as plt
import numpy as np
num_classifications = 30
info = [[] for i in range(num_classifications)]
info_gain = [[] for i in range(num_classifications)]
correctness = [[] ... | code_fim | hard | {
"lang": "python",
"repo": "visenger/aggregation",
"path": "/blog/expected_information.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> s = self.clt("clt", slice(0, 1), latitude=(
30, 70), longitude=(-130, -60))
s2 = MV2.masked_greater(s, 65.)
self.x.plot(s2, "default", "isofill", bg=self.bg)
self.checkImage("test_vcs_isofill_mask_cell_shift.png")<|fim_prefix|># repo: CDAT/vcs path: /tests/test... | code_fim | easy | {
"lang": "python",
"repo": "CDAT/vcs",
"path": "/tests/test_vcs_isofill_mask_cell_shift.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: CDAT/vcs path: /tests/test_vcs_isofill_mask_cell_shift.py
import basevcstest
import MV2
class TestVCSIsofill(basevcstest.VCSBaseTest):
<|fim_suffix|> s = self.clt("clt", slice(0, 1), latitude=(
30, 70), longitude=(-130, -60))
s2 = MV2.masked_greater(s, 65.)
se... | code_fim | easy | {
"lang": "python",
"repo": "CDAT/vcs",
"path": "/tests/test_vcs_isofill_mask_cell_shift.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> traceback.append(context)
return '\n'.join(traceback)
def parseMessage(data):
return str(data['message'])<|fim_prefix|># repo: datamade/semabot path: /utils.py
def parseException(data):
traceback = []
for value in data['values']:
for frame in value['stacktrace']['f... | code_fim | medium | {
"lang": "python",
"repo": "datamade/semabot",
"path": "/utils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: datamade/semabot path: /utils.py
def parseException(data):
traceback = []
for value in data['values']:
for frame in value['stacktrace']['frames']:
context = 'File {filename}, line {lineno}, in {function}\n'.format(**frame)
try:
context += ... | code_fim | medium | {
"lang": "python",
"repo": "datamade/semabot",
"path": "/utils.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> @x.setter
def x(self, x):
self.set_pos(x, self._y)
@property
def y(self):
return self._y
@y.setter
def y(self, y):
self.set_pos(self._x, y)
def __str__(self) -> str:
return f"Shape < {self.name} > @({self._x},{self._y}) -> {self.positions}"
... | code_fim | hard | {
"lang": "python",
"repo": "joaojomoura/UA",
"path": "/3_ano/IA/Project/tpg-tetris-ia_equipa_13/shape.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: joaojomoura/UA path: /3_ano/IA/Project/tpg-tetris-ia_equipa_13/shape.py
from common import Dimensions
import random
S = "S", [
[".....",
".....",
"..11.",
".11..",
"....."],
[".....",
"..1..",
"..11.",
"...1.",
"....."],
]
Z = "Z", [
[... | code_fim | hard | {
"lang": "python",
"repo": "joaojomoura/UA",
"path": "/3_ano/IA/Project/tpg-tetris-ia_equipa_13/shape.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>T = "T", [
[".....",
"..1..",
".111.",
".....",
"....."],
[".....",
"..1..",
"..11.",
"..1..",
"....."],
[".....",
".....",
".111.",
"..1..",
"....."],
[".....",
"..1..",
".11..",
"..1..",
"....... | code_fim | hard | {
"lang": "python",
"repo": "joaojomoura/UA",
"path": "/3_ano/IA/Project/tpg-tetris-ia_equipa_13/shape.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>hip)
admin.site.register(Car)
admin.site.register(Certificate)<|fim_prefix|># repo: TonikX/ITMO_ICT_WebProgramming_2020 path: /students/k3343/practical_works/Rolinskiy_Sergey/Pr2/project_first_app/admin.py
from django.contrib import admin
from project_first_app.models<|fim_middle|> import Owner, Owner... | code_fim | medium | {
"lang": "python",
"repo": "TonikX/ITMO_ICT_WebProgramming_2020",
"path": "/students/k3343/practical_works/Rolinskiy_Sergey/Pr2/project_first_app/admin.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: TonikX/ITMO_ICT_WebProgramming_2020 path: /students/k3343/practical_works/Rolinskiy_Sergey/Pr2/project_first_app/admin.py
from django.contrib import admin
from project_first_app.models<|fim_suffix|>ls here.
admin.site.register(Owner)
admin.site.register(Ownership)
admin.site.register(Car)
ad... | code_fim | medium | {
"lang": "python",
"repo": "TonikX/ITMO_ICT_WebProgramming_2020",
"path": "/students/k3343/practical_works/Rolinskiy_Sergey/Pr2/project_first_app/admin.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>ls here.
admin.site.register(Owner)
admin.site.register(Ownership)
admin.site.register(Car)
admin.site.register(Certificate)<|fim_prefix|># repo: TonikX/ITMO_ICT_WebProgramming_2020 path: /students/k3343/practical_works/Rolinskiy_Sergey/Pr2/project_first_app/admin.py
from django.contrib import admin
... | code_fim | medium | {
"lang": "python",
"repo": "TonikX/ITMO_ICT_WebProgramming_2020",
"path": "/students/k3343/practical_works/Rolinskiy_Sergey/Pr2/project_first_app/admin.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return pygame.Rect(quad[0], quad[1], quad[2], quad[3])
pygame.init()
screen = pygame.display.set_mode((400, 300))
while 1:
json_msg = sys.stdin.readline().rstrip() # blocking; remove trailing \n
pygame.event.pump() # required for Pygame's internal workings
# otherwise Pygame stops: htt... | code_fim | medium | {
"lang": "python",
"repo": "pombredanne/swarch",
"path": "/pipe-and-filter/displaypygame.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pombredanne/swarch path: /pipe-and-filter/displaypygame.py
"""
input: game state
output: none (pygame display)
Update the display every time I receive a game state in JSON.
{'mybox': [1,2,3,4],
'borders': [ [1,2,3,4], [2,3,4,5] ],
'pellets': [ [1,2,3,4] ] }
"""
import json
import sys
import... | code_fim | hard | {
"lang": "python",
"repo": "pombredanne/swarch",
"path": "/pipe-and-filter/displaypygame.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> screen.fill((0, 0, 64)) # dark blue
[pygame.draw.rect(screen, (0, 191, 255), b) for b in borders] # deep sky blue
[pygame.draw.rect(screen, (255, 192, 203), p) for p in pellets] # pink
pygame.draw.rect(screen, (0, 191, 255), myrect) # Deep Sky Blue
pygame.displa... | code_fim | hard | {
"lang": "python",
"repo": "pombredanne/swarch",
"path": "/pipe-and-filter/displaypygame.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>#TV
LI_TV = LI.Appliance(LI,1,60,3,480,0.16,77)
LI_TV.windows([0,1440],[660,1170],0.2,[720,840])
#phone chargeri
LI_Phone_charger = LI.Appliance(LI,2,5,3,230,0.26,60)
LI_Phone_charger.windows([0,1440],[720,1320],0.35,[660,930])
#freezer
LI_Freezer = LI.Appliance(LI,1,200,1,1160,0,30,'yes',3)
LI_Freezer.... | code_fim | hard | {
"lang": "python",
"repo": "CIE-UMSS/VLIR_Energy_Demand",
"path": "/Residential_Sector/LI_El_Sena.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: CIE-UMSS/VLIR_Energy_Demand path: /Residential_Sector/LI_El_Sena.py
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Jan 13 12:08:23 2020
@author: alejandrosoto
"""
"""
Created on Fri Feb 8 10:46:25 2019
<|fim_suffix|>#outdoor bulb
LI_outdoor_bulb = LI.Appliance(LI,2,13,2,284... | code_fim | hard | {
"lang": "python",
"repo": "CIE-UMSS/VLIR_Energy_Demand",
"path": "/Residential_Sector/LI_El_Sena.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>#outdoor bulb
LI_outdoor_bulb = LI.Appliance(LI,2,13,2,284,0.24,70)
LI_outdoor_bulb.windows([1200,1440],[0,30],0.2)
#TV
LI_TV = LI.Appliance(LI,1,60,3,480,0.16,77)
LI_TV.windows([0,1440],[660,1170],0.2,[720,840])
#phone chargeri
LI_Phone_charger = LI.Appliance(LI,2,5,3,230,0.26,60)
LI_Phone_charger.wind... | code_fim | hard | {
"lang": "python",
"repo": "CIE-UMSS/VLIR_Energy_Demand",
"path": "/Residential_Sector/LI_El_Sena.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> global_data['stats'] = {}
# global stats
total_requests = 0
total_request_time = 0
# iterate over each batch of tests
for interval in global_data['raw']:
data = global_data['raw'][interval]
count = len(data)
total = 0
# aggregate time
for user in data:
total = total + data[user]
# sav... | code_fim | hard | {
"lang": "python",
"repo": "ideamelt/stress-test",
"path": "/helpers.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ideamelt/stress-test path: /helpers.py
from datetime import datetime, timedelta
import urllib
import settings
import simplejson as json
import os
# common methods
def create_echo_url(user_url_s):
return (settings.ECHO_API_URL + settings.ECHO_CLIENT_URL + settings.ECHO_DATATYPE_URL +
urllib.q... | code_fim | medium | {
"lang": "python",
"repo": "ideamelt/stress-test",
"path": "/helpers.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Yinan-Zhang/RichCSpace path: /basics/robotics/WarehouseRobot.py
import sys, os, copy
sys.path.append('../math')
import pygame;
import math;
from geometry import *
from polygon import *
from hyper_geometry import *
from configuration import *
from robot import *
from BlockRobots import Block
cl... | code_fim | hard | {
"lang": "python",
"repo": "Yinan-Zhang/RichCSpace",
"path": "/basics/robotics/WarehouseRobot.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def config_clearance( self, config, mode='L2' ):
'''Get clearance of a given configuration'''
oldcfg = self.get_config();
self.set_config(config);
dist = min( [ self.__robot2block__(mode), self.__robot2wall__() ] );
self.set_config(oldcfg);
return dist;<|fim_prefix|># repo: Yinan-Zhang/RichCS... | code_fim | hard | {
"lang": "python",
"repo": "Yinan-Zhang/RichCSpace",
"path": "/basics/robotics/WarehouseRobot.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> '''test if a robot is valid'''
oldcfg = self.get_config();
self.set_config(config);
dist = min( [ self.__robot2block__(), self.__robot2wall__() ] );
self.set_config(oldcfg);
return dist > 0;
def config_clearance( self, config, mode='L2' ):
'''Get clearance of a given configuration'''
old... | code_fim | hard | {
"lang": "python",
"repo": "Yinan-Zhang/RichCSpace",
"path": "/basics/robotics/WarehouseRobot.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: daveinnyc/various path: /python-practice/generators_example.py
# Based on https://www.learnpython.org/en/Generators
# Using pytest to create propety based tests for the generator functions
import random
def lottery():
<|fim_suffix|>if __name__ == '__main__':
fibs = list()
co... | code_fim | hard | {
"lang": "python",
"repo": "daveinnyc/various",
"path": "/python-practice/generators_example.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> while True:
yield first
first, second = second, first + second
if __name__ == '__main__':
fibs = list()
count = 0
for n in fib():
fibs.append(n)
print(fibs)
if count == 10:
break
else:
count += 1<|fim_... | code_fim | medium | {
"lang": "python",
"repo": "daveinnyc/various",
"path": "/python-practice/generators_example.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mihi-tr/mnmlwrt path: /setup.py
from distutils.core import setup
setup(name='mnmlwrt',
<|fim_suffix|>on editor',
author='Michael Bauer',
url='http://mnmlwrt.tentacleriot.eu/',
scripts=['mnmlwrt'],
)<|fim_middle|> version='0.03',
description='A minimum distracti | code_fim | easy | {
"lang": "python",
"repo": "mihi-tr/mnmlwrt",
"path": "/setup.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>on editor',
author='Michael Bauer',
url='http://mnmlwrt.tentacleriot.eu/',
scripts=['mnmlwrt'],
)<|fim_prefix|># repo: mihi-tr/mnmlwrt path: /setup.py
from distutils.core import setup
setup(name='mnmlwrt',
<|fim_middle|> version='0.03',
description='A minimum distracti | code_fim | easy | {
"lang": "python",
"repo": "mihi-tr/mnmlwrt",
"path": "/setup.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> def OnRunScripts(self, event):
"""
Run selected scripts sequentially - updating progress bars
:param e:
:return:
"""
# initialize
msg = ''
filenames = []
# Clear processing window
self.m_dataViewListCtrlRunning.DeleteAllIt... | code_fim | hard | {
"lang": "python",
"repo": "IMAGE-ET/dicom2cloud",
"path": "/dicom2cloud/clientgui.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: IMAGE-ET/dicom2cloud path: /dicom2cloud/clientgui.py
putdir) for y in iglob(join(x[0], '*.IMA'))]
self.controller.parseDicom(self, allfiles)
# n = 1
# for filename in allfiles:
# try:
# if not self.db.hasFile(filename):
# dcm... | code_fim | hard | {
"lang": "python",
"repo": "IMAGE-ET/dicom2cloud",
"path": "/dicom2cloud/clientgui.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> desc = self.controller.db.getDescription(event.String)
self.m_stTitle.SetLabelText(event.String)
self.m_stDescription.SetLabelText(desc)
self.Layout()
cbtn = event.GetEventObject()
if len(cbtn.GetCheckedItems()) > 0:
self.m_btnRunProcess.Enable()... | code_fim | hard | {
"lang": "python",
"repo": "IMAGE-ET/dicom2cloud",
"path": "/dicom2cloud/clientgui.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jovanzac/Captain path: /Scripts/__init__.py
"""import main_game and start game."""
<|fim_suffix|># display the splash screen and start game
main.splash.display()
# tkinter mainloop
main.root.mainloop()<|fim_middle|>import Scripts.main_game as main
| code_fim | easy | {
"lang": "python",
"repo": "jovanzac/Captain",
"path": "/Scripts/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
# display the splash screen and start game
main.splash.display()
# tkinter mainloop
main.root.mainloop()<|fim_prefix|># repo: jovanzac/Captain path: /Scripts/__init__.py
"""import main_game and start game."""
<|fim_middle|>import Scripts.main_game as main
| code_fim | easy | {
"lang": "python",
"repo": "jovanzac/Captain",
"path": "/Scripts/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: saeidnp/pyprob path: /pyprob/nn/__init__.py
from .dataset import Batch, OnlineDataset, OfflineDataset, TraceSampler, TraceBatchSampler, DistributedTraceBatchSampler
from .embedding_feedforward import EmbeddingFeedForward
from .embedding_cnn_2d_5c import EmbeddingCNN2D5C
from .embedding_cnn_3d_5c ... | code_fim | hard | {
"lang": "python",
"repo": "saeidnp/pyprob",
"path": "/pyprob/nn/__init__.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>icalCategorical
from .proposal_bernoulli_bernoulli import ProposalBernoulliBernoulli
from .inference_network import InferenceNetwork
from .inference_network_feedforward import InferenceNetworkFeedForward
from .inference_network_lstm import InferenceNetworkLSTM<|fim_prefix|># repo: saeidnp/pyprob path: /p... | code_fim | hard | {
"lang": "python",
"repo": "saeidnp/pyprob",
"path": "/pyprob/nn/__init__.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bossjones/ultron8 path: /tests/config/test_pyconfig.py
"""Test Global Pyconfig setter/getters."""
# pylint: disable=protected-access
import logging
import pyconfig
import pytest
from ultron8.config import do_get_flag, do_set_flag, do_set_multi_flag
logger = logging.getLogger(__name__)
<|fim_s... | code_fim | medium | {
"lang": "python",
"repo": "bossjones/ultron8",
"path": "/tests/config/test_pyconfig.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_set_multi_get_multi(self):
multi_data = []
multi_data.append(("test.fake.bbbbb", "foo"))
multi_data.append(("test.fake.bbbbb1", "foo1"))
do_set_multi_flag(multi_data)
assert do_get_flag("test.fake.bbbbb") == "foo"
assert do_get_flag("test.fake.b... | code_fim | hard | {
"lang": "python",
"repo": "bossjones/ultron8",
"path": "/tests/config/test_pyconfig.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kimi-michael/microsim path: /usim/pydot-1.0.28/tkexample1.py
#!/bin/env python2.7
# author: Michael Kimi
# date : Fri Jan 10 15:11:41 2014
from Tkinter import *
root = Tk()
content = Frame(root)
frame = Frame(content, borderwidth=5, relief="sunken", width=200, height=100)
namelbl = Label(con... | code_fim | hard | {
"lang": "python",
"repo": "kimi-michael/microsim",
"path": "/usim/pydot-1.0.28/tkexample1.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>content.grid(column=0, row=0, sticky=(N, S, E, W))
frame.grid (column=0, row=0, columnspan=3, rowspan=3, sticky=(N, S, E, W))
namelbl.grid(column=3, row=0, columnspan=2, sticky=(N, W), padx=5)
name.grid (column=3, row=1, columnspan=2, sticky=(N, E, W), padx=5, pady=5)
one.grid... | code_fim | hard | {
"lang": "python",
"repo": "kimi-michael/microsim",
"path": "/usim/pydot-1.0.28/tkexample1.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class TfidfMeanEmbeddingVectorizer(TransformerMixin):
def __init__(self, embedding_matrix):
self.embedding_matrix = embedding_matrix
self.tfidf_weights = None
if len(embedding_matrix) > 0:
self.dim = len(embedding_matrix[next(iter(embedding_matrix))])
else:... | code_fim | hard | {
"lang": "python",
"repo": "kurumeti/sentiment-analysis-in-amazon-reviews",
"path": "/src/vectorizers.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kurumeti/sentiment-analysis-in-amazon-reviews path: /src/vectorizers.py
import numpy as np
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.base import TransformerMixin
from collections import defaultdict
class Doc2VecVectorizer(TransformerMixin):
def __init__(self... | code_fim | hard | {
"lang": "python",
"repo": "kurumeti/sentiment-analysis-in-amazon-reviews",
"path": "/src/vectorizers.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>try:
while True:
thing_2_do = input("Enter f/b/l/r to go forward/backward/left/right, anything else to end the program: ")
if thing_2_do == 'f':
move_time = int(input("How long do you want to move(in seconds): "))
m1.forward(40+cal)
m2.forward(40)
... | code_fim | medium | {
"lang": "python",
"repo": "neel-kumar/learn-robotics-rpi",
"path": "/MotorTest.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: neel-kumar/learn-robotics-rpi path: /MotorTest.py
#!/usr/bin/python
import PiMotor
import time
import RPi.GPIO as GPIO
import config
GPIO.setmode(GPIO.BCM)
GPIO.setwarnings(False)
#Name of Individual MOTORS
cal = int(config.read("motor"))
# Right Motor
if config.read("rightrev")[0] == "f":... | code_fim | medium | {
"lang": "python",
"repo": "neel-kumar/learn-robotics-rpi",
"path": "/MotorTest.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: wuyou8933/Leetcode path: /pan/lib/python2.7/site-packages/samples/advanced/authentication.py
# coding: utf-8
from azure.cosmosdb.table import TableService
# -------------------------------------------------------------------------
# Copyright (c) Microsoft. All rights reserved.
#
# Licensed und... | code_fim | medium | {
"lang": "python",
"repo": "wuyou8933/Leetcode",
"path": "/pan/lib/python2.7/site-packages/samples/advanced/authentication.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Directly
client = TableService(account_name='<account_name>', sas_token='<sas_token>')
def emulator(self):
# With account
account = CloudStorageAccount(is_emulated=True)
client = account.create_table_service()
# Directly
client = TableService... | code_fim | hard | {
"lang": "python",
"repo": "wuyou8933/Leetcode",
"path": "/pan/lib/python2.7/site-packages/samples/advanced/authentication.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: boh1996/LectioAPI path: /scrapers/grade_sheet.py
#https://www.lectio.dk/lectio/517/grades/grade_karakterblad.aspx?elevid=4789793691&prevurl=grades%2fgrade_report.aspx%3felevid%3d4789793691%26culture%3dda-DK%26prevurl%3dforside.aspx
#3310 HTX
#3010 HHX - 3 årrig
#3020 HHX - 1 årrig
<|fim_suffix|... | code_fim | medium | {
"lang": "python",
"repo": "boh1996/LectioAPI",
"path": "/scrapers/grade_sheet.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># http://www.admsys.uni-c.dk/~/media/ADMSYS/EASY%20A/Dokumenter/Eksamen/XPRS/Tvungne%20proever%20og%20fortsaetter%20paa%20hoejere%20niveau%20paa%20hhx%20og%20htx%202011.ashx<|fim_prefix|># repo: boh1996/LectioAPI path: /scrapers/grade_sheet.py
#https://www.lectio.dk/lectio/517/grades/grade_karakterblad.a... | code_fim | hard | {
"lang": "python",
"repo": "boh1996/LectioAPI",
"path": "/scrapers/grade_sheet.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if loss == float('inf'):
break
step_time, loss = 0.0, 0.0
sys.stdout.flush()
if FLAGS.max_train_iteration > 0 and current_step > FLAGS.max_train_iteration:
break
def decode():
config = tf.ConfigProto()
config.gpu_options.allow_growth = True
with tf.Session(config=config) ... | code_fim | hard | {
"lang": "python",
"repo": "QingyaoAi/Unbiased-Learning-to-Rank-with-Unbiased-Propensity-Estimation",
"path": "/Unbiased_LTR/IPW_LTR/main.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Create model and initialize or load parameters in session."""
click_model = None
with open(FLAGS.click_model_json) as fin:
model_desc = json.load(fin)
click_model = cm.loadModelFromJson(model_desc)
p_estimator = None
with open(FLAGS.estimator_json) as fin:
data = json.load(fin)
if 'IPW_lis... | code_fim | hard | {
"lang": "python",
"repo": "QingyaoAi/Unbiased-Learning-to-Rank-with-Unbiased-Propensity-Estimation",
"path": "/Unbiased_LTR/IPW_LTR/main.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: QingyaoAi/Unbiased-Learning-to-Rank-with-Unbiased-Propensity-Estimation path: /Unbiased_LTR/IPW_LTR/main.py
"""Training and testing the inverse propensity weighting algorithm for unbiased learning to rank.
See the following paper for more information on the dual learning algorithm.
* Xuanhui ... | code_fim | hard | {
"lang": "python",
"repo": "QingyaoAi/Unbiased-Learning-to-Rank-with-Unbiased-Propensity-Estimation",
"path": "/Unbiased_LTR/IPW_LTR/main.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # lookup dns A records via ipv4, since a records don't have names or labels
if addresses: # can only lookup dns if addresses exists
a_records = {}
for zone in cli_gcp.dns_client().list_zones():
for record in zone.list_resource_record_sets():
a_records[re... | code_fim | hard | {
"lang": "python",
"repo": "nathants/cli-gcp",
"path": "/gcp-compute/gcp-compute-lb-ls",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: nathants/cli-gcp path: /gcp-compute/gcp-compute-lb-ls
#!/usr/bin/env python3
import sys
import argh
import cli_gcp
import os
import shell
import yaml
def main(name=None,
verbose=False,
project=os.environ['GCP_PROJECT'],
region=os.environ['GCP_REGION'],):
lb_name = ... | code_fim | hard | {
"lang": "python",
"repo": "nathants/cli-gcp",
"path": "/gcp-compute/gcp-compute-lb-ls",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
@parameterized.named_parameters({
'testcase_name': 'constant',
'boundaries': [1],
'values': [5.0],
'test_inputs': [0, 1, 10],
'expected_outputs': [5.0, 5.0, 5.0]
}, {
'testcase_name': 'ramp_up',
'boundaries': [10, 20],
'values': [1.0, 11.0],
'test... | code_fim | medium | {
"lang": "python",
"repo": "google-research/tensor2robot",
"path": "/utils/global_step_functions_test.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: google-research/tensor2robot path: /utils/global_step_functions_test.py
# coding=utf-8
# Copyright 2023 The Tensor2Robot Authors.
#
# 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 L... | code_fim | hard | {
"lang": "python",
"repo": "google-research/tensor2robot",
"path": "/utils/global_step_functions_test.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>if __name__ == '__main__':
main()<|fim_prefix|># repo: theodorcostache/pdf-protect path: /app/main.py
from view import PdfProtectFrame
from controller import Controller
from model import Model
import wx
import constants
<|fim_middle|>def main():
app = wx.App()
frame = PdfProtectFrame(None, t... | code_fim | medium | {
"lang": "python",
"repo": "theodorcostache/pdf-protect",
"path": "/app/main.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> app = wx.App()
frame = PdfProtectFrame(None, title=constants.TITLE)
controller = Controller(frame, Model())
frame.Show()
app.MainLoop()
if __name__ == '__main__':
main()<|fim_prefix|># repo: theodorcostache/pdf-protect path: /app/main.py
from view import PdfProtectFrame
from cont... | code_fim | easy | {
"lang": "python",
"repo": "theodorcostache/pdf-protect",
"path": "/app/main.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: theodorcostache/pdf-protect path: /app/main.py
from view import PdfProtectFrame
from controller import Controller
from model import Model
import wx
import constants
<|fim_suffix|>if __name__ == '__main__':
main()<|fim_middle|>def main():
app = wx.App()
frame = PdfProtectFrame(None, t... | code_fim | medium | {
"lang": "python",
"repo": "theodorcostache/pdf-protect",
"path": "/app/main.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tula18/steamlink path: /bin/pynode-example.py
#!/usr/bin/env python3
# a Python based Node for SteamLink
import asyncio
import time
import signal
import sys
import logging
logger = logging.getLogger()
from steamlink.pynode import PyNode, SL_NodeCfgStruct
mqtt_conf = {
'clientid': 'pynode_%... | code_fim | hard | {
"lang": "python",
"repo": "tula18/steamlink",
"path": "/bin/pynode-example.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def setup_logging(loglvl):
# FORMAT='%(name)s - %(levelname)s - %(message)s'
# logging.basicConfig(level=loglvl, format=FORMAT)
logging.basicConfig(level=loglvl)
logging.DBG = 0
logging.DBGK = []
setup_logging(logging.INFO)
loop = asyncio.get_event_loop()
loop.run_until_complete(run(loop))
logger.in... | code_fim | hard | {
"lang": "python",
"repo": "tula18/steamlink",
"path": "/bin/pynode-example.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> #given n terms, find the mean of the connection strengths of subgraphs considering each term as pivot.
#return the mean of max strength term subgraph
def find_pivot_subgraph(self,terms):
max_mean = 0
std_dev = 0
max_mean_term = None
means_dict = {}
if (l... | code_fim | hard | {
"lang": "python",
"repo": "ajitvr/cls_sentence_representations",
"path": "/sentence_dist.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ajitvr/cls_sentence_representations path: /sentence_dist.py
T_CUM_DIST = "cum_dist.txt"
OUTPUT_ZERO_VEC_COUNTS = "zero_vec_counts.txt"
OUTPUT_TAIL_COUNTS = "tail_counts.txt"
DESC_CLUSTERS = "desc_clusters.txt"
SUBSERVIENT_CLUSTERS = "subservient_clusters.txt"
EMPTY_SENTENCES = "empty_sentences.tx... | code_fim | hard | {
"lang": "python",
"repo": "ajitvr/cls_sentence_representations",
"path": "/sentence_dist.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def get_distribution_for_term(self,term1):
if (term1 in self.dist_threshold_cache):
return self.dist_threshold_cache[term1],self.dist_zero_cache
terms_count = self.terms_dict
dist_dict = {}
val_dict = {}
zero_dict = {}
for k in self.terms_dic... | code_fim | hard | {
"lang": "python",
"repo": "ajitvr/cls_sentence_representations",
"path": "/sentence_dist.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: OrIOg/TronRacerTest path: /Entities/EntityGroup.py
import pygame
class EntityGroup(pygame.sprite.Group):
def __init__(self):
<|fim_suffix|> sprites = self.sprites()
for spr in sprites:
spr.draw(surface)
self.lostsprites = []<|fim_middle|> pygame.sp... | code_fim | medium | {
"lang": "python",
"repo": "OrIOg/TronRacerTest",
"path": "/Entities/EntityGroup.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> pygame.sprite.Group.__init__(self)
def draw(self, surface):
sprites = self.sprites()
for spr in sprites:
spr.draw(surface)
self.lostsprites = []<|fim_prefix|># repo: OrIOg/TronRacerTest path: /Entities/EntityGroup.py
import pygame
class EntityGroup(pygam... | code_fim | easy | {
"lang": "python",
"repo": "OrIOg/TronRacerTest",
"path": "/Entities/EntityGroup.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> sprites = self.sprites()
for spr in sprites:
spr.draw(surface)
self.lostsprites = []<|fim_prefix|># repo: OrIOg/TronRacerTest path: /Entities/EntityGroup.py
import pygame
class EntityGroup(pygame.sprite.Group):
<|fim_middle|>
def __init__(self):
pygame.sp... | code_fim | medium | {
"lang": "python",
"repo": "OrIOg/TronRacerTest",
"path": "/Entities/EntityGroup.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># The first operator is a convolution.
assert(op_code.BuiltinCode() == tflite.BuiltinOperator.CONV_2D)
# Custom operator need more interface, won't cover here.
assert(op_code.BuiltinCode() != tflite.BuiltinOperator.CUSTOM)
############# the operator ##################################################
#... | code_fim | hard | {
"lang": "python",
"repo": "GAOHunter/tflite",
"path": "/tests/mobilenet_example.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: GAOHunter/tflite path: /tests/mobilenet_example.py
import tflite
import util_for_test
# Example of parsing a TFLite model with `tflite` python package.
# Use this package, you can *import* the `tflite* package ONLY ONCE.
# Otherwise, you need to import every class when using them.
def read_mode... | code_fim | hard | {
"lang": "python",
"repo": "GAOHunter/tflite",
"path": "/tests/mobilenet_example.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>############# quant #######################################################
# Quantization parameters of the tensor, only valid for quantized model
quant = tensor.Quantization()
# Scale and zero point
assert(quant.ScaleAsNumpy()[0] == 0.02182667888700962)
assert(quant.ZeroPointAsNumpy()[0] == 151)
# Mi... | code_fim | hard | {
"lang": "python",
"repo": "GAOHunter/tflite",
"path": "/tests/mobilenet_example.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dmsherr/niobeta path: /test_lift_block.py
from unittest.mock import patch
from nio.testing.block_test_case import NIOBlockTestCase
from nio import Signal
from ..filter_block import Filter
class LiftSignal(Signal):
def __init__(self, val):
super().__init__()
self.val = val... | code_fim | hard | {
"lang": "python",
"repo": "dmsherr/niobeta",
"path": "/test_lift_block.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
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