text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_suffix|> def flip(vertices):
x, y, z = vertices.T
f = (z < 0) | ((z == 0) & (y < 0)) | ((z == 0) & (y == 0) & (x < 0))
return 1 - 2*f[:, None]
decimals = 6
# Test HemiSphere.subdivide
# Create a hemisphere by dividing a hemi-icosahedron
hemi1 = HemiSphere.from_sphere(un... | code_fim | hard | {
"lang": "python",
"repo": "Raniac/NEURO-LEARN",
"path": "/env/lib/python3.6/site-packages/dipy/core/tests/test_sphere.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pyprogrammerblog/mysite path: /pyproblog/views.py
from django.shortcuts import get_object_or_404, render, redirect, reverse
from django.views.generic import TemplateView, ListView, View
from .models import BlogEntry, Subscriber
from django.db.models import Q
from .forms import ContactForm, Subscr... | code_fim | hard | {
"lang": "python",
"repo": "pyprogrammerblog/mysite",
"path": "/pyproblog/views.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def get(self, request, *args, **kwargs):
if not self.kwargs.get('unsubscribe_code'):
return HttpResponseNotFound('Something went wrong!')
user = get_object_or_404(
Subscriber,
unsubscribe_code=self.kwargs['unsubscribe_code']
)
user.d... | code_fim | hard | {
"lang": "python",
"repo": "pyprogrammerblog/mysite",
"path": "/pyproblog/views.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mksy61/python path: /learn/cc/ctxtlib.py
from contextlib import contextmanager
@contextmanager
def file(filename, method):
<|fim_suffix|>
with file("a.txt", "r") as f:
a = f.read()
print(type(a))
print(a)<|fim_middle|> file = open(filename, method, encoding="utf-8")
yield file
f... | code_fim | medium | {
"lang": "python",
"repo": "mksy61/python",
"path": "/learn/cc/ctxtlib.py",
"mode": "psm",
"license": "CC0-1.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mksy61/python path: /learn/cc/ctxtlib.py
from contextlib import contextmanager
<|fim_suffix|>
with file("a.txt", "r") as f:
a = f.read()
print(type(a))
print(a)<|fim_middle|>
@contextmanager
def file(filename, method):
file = open(filename, method, encoding="utf-8")
yield file
f... | code_fim | medium | {
"lang": "python",
"repo": "mksy61/python",
"path": "/learn/cc/ctxtlib.py",
"mode": "psm",
"license": "CC0-1.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>with file("a.txt", "r") as f:
a = f.read()
print(type(a))
print(a)<|fim_prefix|># repo: mksy61/python path: /learn/cc/ctxtlib.py
from contextlib import contextmanager
<|fim_middle|>@contextmanager
def file(filename, method):
file = open(filename, method, encoding="utf-8")
yield file
fi... | code_fim | medium | {
"lang": "python",
"repo": "mksy61/python",
"path": "/learn/cc/ctxtlib.py",
"mode": "spm",
"license": "CC0-1.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: rrwt/daily-coding-challenge path: /daily_problems/problem_101_to_200/problem_167.py
"""
Given a list of words, find all pairs of unique indices
such that the concatenation of the two words is a palindrome.
For example,
given the list ["code", "edoc", "da", "d"], return [(0, 1), (1, 0), (2, 3)... | code_fim | hard | {
"lang": "python",
"repo": "rrwt/daily-coding-challenge",
"path": "/daily_problems/problem_101_to_200/problem_167.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>if __name__ == "__main__":
assert unique_indices(["code", "edoc", "da", "d"]) == [(0, 1), (1, 0), (2, 3)]<|fim_prefix|># repo: rrwt/daily-coding-challenge path: /daily_problems/problem_101_to_200/problem_167.py
"""
Given a list of words, find all pairs of unique indices
such that the concatenation of... | code_fim | hard | {
"lang": "python",
"repo": "rrwt/daily-coding-challenge",
"path": "/daily_problems/problem_101_to_200/problem_167.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def notifyAll(self) -> None: ...
def propertyManagers(self) -> Iterator[unicode]:
"""
Returns an iterator over the names of all existing PropertyMaps.
"""
...
@overload
def removeAll(self, addr: ghidra.program.model.address.Address) -> None:
"""
... | code_fim | hard | {
"lang": "python",
"repo": "kohnakagawa/ghidra_scripts",
"path": "/ghidra9.2.1_pyi/ghidra/program/model/util/PropertyMapManager.pyi",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
Returns the PropertyMap with the given name or null if no PropertyMap
exists with that name.
@param propertyName the name of the property to retrieve.
"""
...
def getStringPropertyMap(self, propertyName: unicode) -> ghidra.program.model.util.String... | code_fim | hard | {
"lang": "python",
"repo": "kohnakagawa/ghidra_scripts",
"path": "/ghidra9.2.1_pyi/ghidra/program/model/util/PropertyMapManager.pyi",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kohnakagawa/ghidra_scripts path: /ghidra9.2.1_pyi/ghidra/program/model/util/PropertyMapManager.pyi
from typing import Iterator
import ghidra.program.model.address
import ghidra.program.model.util
import ghidra.util.task
import java.lang
class PropertyMapManager(object):
"""
Interface fo... | code_fim | hard | {
"lang": "python",
"repo": "kohnakagawa/ghidra_scripts",
"path": "/ghidra9.2.1_pyi/ghidra/program/model/util/PropertyMapManager.pyi",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: babafemisorinolu/pyadlml path: /pyadlml/dataset/_datasets/activity_assistant.py
import os
import pandas as pd
from pyadlml.dataset.activities import correct_activities
from pyadlml.dataset.devices import correct_devices
from pyadlml.dataset.obj import Data
from pyadlml.dataset import START_TIME,... | code_fim | hard | {
"lang": "python",
"repo": "babafemisorinolu/pyadlml",
"path": "/pyadlml/dataset/_datasets/activity_assistant.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> df_dev = _read_devices(os.path.join(folder_path, DATA_NAME),
os.path.join(folder_path, DEV_MAP_NAME))
df_dev = correct_devices(df_dev)
# get mappings
lst_dev = _read_device_list(os.path.join(folder_path, DEV_MAP_NAME))
lst_act = _read_activity_list(os.path.j... | code_fim | hard | {
"lang": "python",
"repo": "babafemisorinolu/pyadlml",
"path": "/pyadlml/dataset/_datasets/activity_assistant.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # get mappings
lst_dev = _read_device_list(os.path.join(folder_path, DEV_MAP_NAME))
lst_act = _read_activity_list(os.path.join(folder_path, ACT_MAP_NAME))
data = Data(None, df_dev, activity_list=lst_act, device_list=lst_dev)
for subject in subjects:
df_act = _read_activities(... | code_fim | hard | {
"lang": "python",
"repo": "babafemisorinolu/pyadlml",
"path": "/pyadlml/dataset/_datasets/activity_assistant.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> #Check for elements between 'FROM' and 'WHERE'--------------------------
result, from_query = FromValidation(query)
if result != True:
return result, ''
#Check for elements after 'WHERE'-------------------------------
result, where_query = WhereValidation(query)
if result ... | code_fim | hard | {
"lang": "python",
"repo": "iamar7/mini-sql-engine",
"path": "/validator.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: iamar7/mini-sql-engine path: /validator.py
import sqlparse
from select_validator import *
from from_validator import *
from where_validator import *
def ValidateQuery(query):
#Remove Duplicated Spaces and spaces from start and end
query = " ".join(query.split())
<|fim_suffix|> query ... | code_fim | hard | {
"lang": "python",
"repo": "iamar7/mini-sql-engine",
"path": "/validator.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> #For valid query (length > 1) in all other cases invalid query
if length_query <= 1:
return 'Error: Invalid Syntax', ''
#Check for 'SELECT' and elements between 'SELECT' and 'FROM'-------------------------
result, select_query = SelectValidation(query)
if result != True:
... | code_fim | hard | {
"lang": "python",
"repo": "iamar7/mini-sql-engine",
"path": "/validator.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lingyun666/algorithms-tutorial path: /lintcode/ThreeSum/clostest_three_sum.py
# coding: utf8
'''
LintCode: http://www.lintcode.com/zh-cn/problem/3sum-closest/
59. 最接近的三数之和:
给一个包含 n 个整数的数组 S, 找到和与给定整数 target 最接近的三元组，返回这三个数的和。
注意事项:
只需要返回三元组之和，无需返回三元组本身
样例:
例如 S = [-1, 2, 1, -4] and target = 1... | code_fim | hard | {
"lang": "python",
"repo": "lingyun666/algorithms-tutorial",
"path": "/lintcode/ThreeSum/clostest_three_sum.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
@param numbers: Give an array numbers of n integer
@param target : An integer
@return : return the sum of the three integers, the sum closest target.
"""
def threeSumClosest(self, numbers, target):
# write your code here
n = len(numbers)
if n < 3:
... | code_fim | hard | {
"lang": "python",
"repo": "lingyun666/algorithms-tutorial",
"path": "/lintcode/ThreeSum/clostest_three_sum.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def on_activated(self):
self.dbg('Activated the WinSys plugin.')
def on_deactivated(self):
self.dbg('Deactivated the WinSys plugin.')
def on_events(self, flags):
if flags & kp.Events.PACKCONFIG:
self.info("Configuration changed, rebuilding catalog...")
... | code_fim | hard | {
"lang": "python",
"repo": "kvnxiao/keypirinha-winsys",
"path": "/src/winsys.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kvnxiao/keypirinha-winsys path: /src/winsys.py
# Keypirinha | A semantic launcher for Windows | http://keypirinha.com
import keypirinha as kp
from . import system_actions
from . import shell_actions
from . import settings_actions
class WinSys(kp.Plugin):
"""
Provides Windows 10 system... | code_fim | hard | {
"lang": "python",
"repo": "kvnxiao/keypirinha-winsys",
"path": "/src/winsys.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.dbg('Deactivated the WinSys plugin.')
def on_events(self, flags):
if flags & kp.Events.PACKCONFIG:
self.info("Configuration changed, rebuilding catalog...")
self.on_catalog()
def load_resource_image(self, image_name):
return self.load_icon('re... | code_fim | hard | {
"lang": "python",
"repo": "kvnxiao/keypirinha-winsys",
"path": "/src/winsys.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: psono/psono-fileserver path: /psono/cron/views/cleanup_chunks.py
from django.conf import settings
from django.core.files.storage import get_storage_class
from rest_framework import status
from rest_framework.response import Response
from rest_framework.generics import GenericAPIView
from rest_fra... | code_fim | hard | {
"lang": "python",
"repo": "psono/psono-fileserver",
"path": "/psono/cron/views/cleanup_chunks.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> if not status.is_success(r.status_code):
return Response(status=status.HTTP_500_INTERNAL_SERVER_ERROR)
deleted_chunk_list = []
for shard_id in r.json_decrypted['shards']:
if shard_id not in settings.SHARDS_DICT:
continue
shard... | code_fim | hard | {
"lang": "python",
"repo": "psono/psono-fileserver",
"path": "/psono/cron/views/cleanup_chunks.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> def compute_initial_figure(self):
pass
def onClick(self,event):
if event.button == 3:
if event.inaxes == MyIndMetricsCanvas.ax:
cont, ind = MyIndMetricsCanvas.fig.contains(event)
if cont:
if hasattr(MyIndM... | code_fim | hard | {
"lang": "python",
"repo": "marinaPauw/Assurance",
"path": "/IndividualMetrics.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: marinaPauw/Assurance path: /IndividualMetrics.py
-%d')
tableContainingRownames["runDate"] = table["runDate"]
tableContainingRownames = tableContainingRownames.sort_values("runDate")
table = table.sort_values("runDate")
... | code_fim | hard | {
"lang": "python",
"repo": "marinaPauw/Assurance",
"path": "/IndividualMetrics.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def onClick(self,event):
if event.button == 3:
if event.inaxes == MyIndMetricsCanvas.ax:
cont, ind = MyIndMetricsCanvas.fig.contains(event)
if cont:
if hasattr(MyIndMetricsCanvas,"ann"):
MyIndMetricsC... | code_fim | hard | {
"lang": "python",
"repo": "marinaPauw/Assurance",
"path": "/IndividualMetrics.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lkc9015/freestyle_project path: /test/test_NLP_LDA.py
from app.NLP_LDA import *
def test_read_letters():
letters = read_letter_from_file("test\example_shareholders_letter.csv")
assert len(letters) == 38
def test_read_company():
company = read_letter_from_file("test\example_sharehold... | code_fim | hard | {
"lang": "python",
"repo": "lkc9015/freestyle_project",
"path": "/test/test_NLP_LDA.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def test_number_of_company():
company = read_company_from_file("test\example_shareholders_letter.csv")
number_of_company = len(set(company))
assert number_of_company == 5
def test_name_of_company():
company = read_company_from_file("test\example_shareholders_letter.csv")
name_of_compa... | code_fim | medium | {
"lang": "python",
"repo": "lkc9015/freestyle_project",
"path": "/test/test_NLP_LDA.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cargocult/rowan-python path: /rowan/controllers/middleware.py
from time import time
import urlparse
import uuid
import base
from rowan.utils.subdicts import ChangeTrackingDict
import rowan.http as http
class SessionMiddleware(base.Wrapper):
"""
Wraps another controller, doing the sessio... | code_fim | hard | {
"lang": "python",
"repo": "cargocult/rowan-python",
"path": "/rowan/controllers/middleware.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # We must have a location, to check if the request came
# from the correct place.
from_location = request.body_params.get('from')
if from_location:
from_location_domain = urlparse.urlparse(from_location).netloc
# Find the api... | code_fim | hard | {
"lang": "python",
"repo": "cargocult/rowan-python",
"path": "/rowan/controllers/middleware.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: 310A/Eric path: /Eric/ZHOUDIU/python_study/test/venv/lib/python2.7/site-packages/leancloud/message.py
# coding: utf-8
"""
实时通讯消息相关操作。
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from da... | code_fim | hard | {
"lang": "python",
"repo": "310A/Eric",
"path": "/Eric/ZHOUDIU/python_study/test/venv/lib/python2.7/site-packages/leancloud/message.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> :param limit: 返回条数限制，可选，服务端默认 100 条，最大 1000 条
:param before_time: 查询起始的时间戳，返回小于这个时间(不包含)的记录，服务端默认是当前时间
:param before_message_id: 起始的消息 id，使用时必须加上对应消息的时间 before_time 参数，一起作为查询的起点
:return: 符合条件的聊天记录
"""
query_params = {} # type: Dict[str, Any]
if limi... | code_fim | hard | {
"lang": "python",
"repo": "310A/Eric",
"path": "/Eric/ZHOUDIU/python_study/test/venv/lib/python2.7/site-packages/leancloud/message.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def _update_data(self, server_data): # type: (dict) -> None
self.bin = server_data.get('bin')
self.conversation_id = server_data.get('conv-id')
self.data = server_data.get('data')
self.from_client = server_data.get('from')
self.from_ip = server_data.get('from-i... | code_fim | hard | {
"lang": "python",
"repo": "310A/Eric",
"path": "/Eric/ZHOUDIU/python_study/test/venv/lib/python2.7/site-packages/leancloud/message.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bwisgood/grpc_client_pool path: /protogen/common_pb2.py
# -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: common.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descr... | code_fim | hard | {
"lang": "python",
"repo": "bwisgood/grpc_client_pool",
"path": "/protogen/common_pb2.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
_RANGE = _descriptor.Descriptor(
name='Range',
full_name='Range',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='field', full_name='Range.field', index=0,
number=1, type=9, cpp_type=9, label=1,
has_default_value=False, d... | code_fim | hard | {
"lang": "python",
"repo": "bwisgood/grpc_client_pool",
"path": "/protogen/common_pb2.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>Pagination = _reflection.GeneratedProtocolMessageType('Pagination', (_message.Message,), {
'DESCRIPTOR' : _PAGINATION,
'__module__' : 'common_pb2'
# @@protoc_insertion_point(class_scope:Pagination)
})
_sym_db.RegisterMessage(Pagination)
LikeField = _reflection.GeneratedProtocolMessageType('LikeFi... | code_fim | hard | {
"lang": "python",
"repo": "bwisgood/grpc_client_pool",
"path": "/protogen/common_pb2.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Amshra267/Thompson-Greedy-Comparison-for-MultiArmed-Bandits path: /Agents.py
"""
MABP:- Creating simulated data for Multi Armed Bandit problem (N armed TestBed)
"""
import numpy as np
from collections import defaultdict
from typing import List
from numpy.core.fromnumeric import var
from seaborn.... | code_fim | hard | {
"lang": "python",
"repo": "Amshra267/Thompson-Greedy-Comparison-for-MultiArmed-Bandits",
"path": "/Agents.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def _get_max_estimated_bandit(self)->Bandit:
"""
this function is used to estimate model based on mean/mode
"""
# print("mus - ", self.mu)
# print("actions - ", np.argmax(self.mu))
unique, counts = np.unique(self.mu, return_counts=True)
lens = coun... | code_fim | hard | {
"lang": "python",
"repo": "Amshra267/Thompson-Greedy-Comparison-for-MultiArmed-Bandits",
"path": "/Agents.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # ID3 has a small list of supported tags
if hasattr(mutafile, 'ID3'):
return tagname.lower() in mutafile.ID3.valid_keys
# Any arbitrary tag name is valid in VORBISCOMMENT
return True
def handle_file(filename, setting_tags, adding_tags, force_write=False):
ftags = mutagen.File(... | code_fim | hard | {
"lang": "python",
"repo": "eberjand/mutatag",
"path": "/mutatag/mutatag.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: eberjand/mutatag path: /mutatag/mutatag.py
#!/usr/bin/env python3
import argparse
import sys
import mutagen
class TagSetAction(argparse.Action):
# pylint: disable=too-few-public-methods
def __init__(self, option_strings, dest, nargs=None, **kwargs):
self.tagname = kwargs.get('con... | code_fim | hard | {
"lang": "python",
"repo": "eberjand/mutatag",
"path": "/mutatag/mutatag.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: terasakisatoshi/pythonCodes path: /kivy/numberPlace/alpha/sudoku.py
from itertools import product
import numpy as np
import z3
from z3solver import Z3Solver
from kivy.app import App
from kivy.uix.button import Label, Button
from kivy.uix.gridlayout import GridLayout
from kivy.uix.behaviors import... | code_fim | hard | {
"lang": "python",
"repo": "terasakisatoshi/pythonCodes",
"path": "/kivy/numberPlace/alpha/sudoku.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>class SudokuApp(App):
def on_start(self):
main_grid = self.root.ids.main_grid
for (k, l) in product(range(9), repeat=2):
main_grid.add_widget(CustomButton(
id="v_{}_{}".format(str(k), str(l))))
def solve(self):
grid = lambda i, j: z3.Int("grid[... | code_fim | hard | {
"lang": "python",
"repo": "terasakisatoshi/pythonCodes",
"path": "/kivy/numberPlace/alpha/sudoku.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> gridLayout= 'hj_gridLayout'
if mc.gridLayout(gridLayout,q=1,ex=1):
mc.deleteUI(gridLayout)
mc.setParent('flowLayout2')
mc.gridLayout(gridLayout,nc=1,cwh=[32,32])
mc.setParent(gridLayout)
global_vars = inspect.getouterframes(inspect.currentframe())[-1][0].f_globals
# global_vars = globals()
mc.... | code_fim | hard | {
"lang": "python",
"repo": "anubhab91/pyshell",
"path": "/utils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # print 'return:',menu_item
return menu_item
parent_menu=None
for m in menu_path:
menu_item = get_menu_item(m,parent_menu)
parent_menu = menu_item
print parent_menu
# delete existing menuItem
if mc.menu(parent_menu,q=1,ia=1):
for m in mc.menu(parent_menu,q=1,ia=1):
if mc.menuItem(m,q=... | code_fim | hard | {
"lang": "python",
"repo": "anubhab91/pyshell",
"path": "/utils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: anubhab91/pyshell path: /utils.py
import maya.mel as mm
import maya.cmds as mc
import inspect
def add_menu(location='Window->General Editors',label='xxx',command='print "xxx"'):
'''
Add menu to specified location in main menu.
Args:
location: Window->General Editors.
label: the lab... | code_fim | hard | {
"lang": "python",
"repo": "anubhab91/pyshell",
"path": "/utils.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pxlc/pxlc_td_toolbox path: /apps/webkit_widget_launcher/op/rebuild_shot_select/rebuild_shot_select.py
# -------------------------------------------------------------------------------
# MIT License
#
# Copyright (c) 2018 pxlc@github
#
# Permission is hereby granted, free of charge, to any person ... | code_fim | medium | {
"lang": "python",
"repo": "pxlc/pxlc_td_toolbox",
"path": "/apps/webkit_widget_launcher/op/rebuild_shot_select/rebuild_shot_select.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> shot_list = []
filler_type = filler_info.get('filler_type','')
if filler_type == 'data_list':
query = filler_info.get('query_info',{})
db = BackEnd( query.get('backend_server',''), query.get('backend_type','') )
f_list = query.get("fields",[])
query_results = ... | code_fim | medium | {
"lang": "python",
"repo": "pxlc/pxlc_td_toolbox",
"path": "/apps/webkit_widget_launcher/op/rebuild_shot_select/rebuild_shot_select.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> filler_info = params.get('filler_info',{})
shot_list = []
filler_type = filler_info.get('filler_type','')
if filler_type == 'data_list':
query = filler_info.get('query_info',{})
db = BackEnd( query.get('backend_server',''), query.get('backend_type','') )
f_list = ... | code_fim | medium | {
"lang": "python",
"repo": "pxlc/pxlc_td_toolbox",
"path": "/apps/webkit_widget_launcher/op/rebuild_shot_select/rebuild_shot_select.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> p.O9 = circle_9.get_point(-pi / 2 * 0.2)
p.O10 = circle_9.get_point(pi / 2 * 0.2)
p.PO9 = circle_9.get_point(-pi / 2 * 0.4)
p.PO10 = circle_9.get_point(pi / 2 * 0.4)
p.P9 = circle_9.get_point(-pi / 2 * 0.6)
p.P10 = circle_9.get_point(pi / 2 * 0.6)
p.TP9 = circle_9.get_point(... | code_fim | hard | {
"lang": "python",
"repo": "scot-dev/scot",
"path": "/scot/eegtopo/eegpos3d.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: scot-dev/scot path: /scot/eegtopo/eegpos3d.py
# Released under The MIT License (MIT)
# http://opensource.org/licenses/MIT
# Copyright (c) 2013 Martin Billinger
"""Module to generate 3d EEG locations"""
from numpy import *
from scot.eegtopo import geo_spherical as geo
from .tools import Struct
... | code_fim | hard | {
"lang": "python",
"repo": "scot-dev/scot",
"path": "/scot/eegtopo/eegpos3d.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> circle_FC = Circle(p.FT7, p.FCz, p.FT8)
circle_CP = Circle(p.TP7, p.CPz, p.TP8)
p.FC5 = intersection(circle_5, circle_FC)[0]
p.FC3 = intersection(circle_3, circle_FC)[0]
p.FC1 = intersection(circle_1, circle_FC)[0]
p.FC2 = intersection(circle_2, circle_FC)[0]
p.FC4 = intersect... | code_fim | hard | {
"lang": "python",
"repo": "scot-dev/scot",
"path": "/scot/eegtopo/eegpos3d.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: adjacentlink/python-etce path: /scripts/etce-mgen-network-receptions-stripchart
#!/usr/bin/env python
#
# Copyright (c) 2021 - Adjacent Link LLC, Bridgewater, New Jersey
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted pro... | code_fim | hard | {
"lang": "python",
"repo": "adjacentlink/python-etce",
"path": "/scripts/etce-mgen-network-receptions-stripchart",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> rx_trial = None
try:
rx_trial = rx[rx.trial == trial]
except KeyError as ke:
print(ke)
continue
rx_trial.plot(kind='scatter', x='rxtimefrac', y='rxtimesec', ax=ax, marker='.', s=0.5, color='black')
ax.set_xlabel('rx time (fractional second)')
ax.set_ylab... | code_fim | hard | {
"lang": "python",
"repo": "adjacentlink/python-etce",
"path": "/scripts/etce-mgen-network-receptions-stripchart",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>rx['rxtimefrac'] = rx.rxtime - rx.rxtimesec
all_rxers = set(rx.rxnode.unique())
rxers = all_rxers
if args.nodefilter:
# keep named nodes
rxers = [nodename.strip() for nodename in args.nodefilter.split(':')]
# filter out
drop_rxers = all_rxers.difference(rxers)
if drop_rxers:
... | code_fim | hard | {
"lang": "python",
"repo": "adjacentlink/python-etce",
"path": "/scripts/etce-mgen-network-receptions-stripchart",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ministryofjustice/money-to-prisoners-api path: /mtp_api/apps/disbursement/migrations/0020_auto_20201007_1448.py
# Generated by Django 2.2.16 on 2020-10-07 13:48
<|fim_suffix|>class Migration(migrations.Migration):
dependencies = [
('disbursement', '0019_auto_20181106_1641'),
]
... | code_fim | easy | {
"lang": "python",
"repo": "ministryofjustice/money-to-prisoners-api",
"path": "/mtp_api/apps/disbursement/migrations/0020_auto_20201007_1448.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> operations = [
migrations.AlterModelOptions(
name='disbursement',
options={'get_latest_by': 'created', 'ordering': ('id',)},
),
]<|fim_prefix|># repo: ministryofjustice/money-to-prisoners-api path: /mtp_api/apps/disbursement/migrations/0020_auto_20201007_14... | code_fim | medium | {
"lang": "python",
"repo": "ministryofjustice/money-to-prisoners-api",
"path": "/mtp_api/apps/disbursement/migrations/0020_auto_20201007_1448.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: royw/orchestra path: /orchestra/workflow.py
from importlib import import_module
from django.conf import settings
from orchestra.core.errors import InvalidSlugValue
from orchestra.core.errors import SlugUniquenessError
class Workflow():
def __init__(self,
**kwargs):
... | code_fim | hard | {
"lang": "python",
"repo": "royw/orchestra",
"path": "/orchestra/workflow.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>def get_workflows():
workflows = {}
for backend_module, variable in settings.ORCHESTRA_PATHS:
backend_module = import_module(backend_module)
workflow = getattr(backend_module, variable)
if workflow.slug in workflows:
raise SlugUniquenessError('Repeated slug valu... | code_fim | hard | {
"lang": "python",
"repo": "royw/orchestra",
"path": "/orchestra/workflow.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def setUp(self):
super(OrderViewsetRetrieveUpdateDestroyTests, self).setUp()
self.object = baker.make('example_app.Order')
baker.make('example_app.OrderedMeal', order=self.object, _quantity=2)
self.view_url = reverse(
'viewset_retrieve_update_destroy', kwarg... | code_fim | hard | {
"lang": "python",
"repo": "vintasoftware/drf-rw-serializers",
"path": "/tests/test_viewsets.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: vintasoftware/drf-rw-serializers path: /tests/test_viewsets.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Tests for the `drf-rw-serializers` viewsets module.
"""
from __future__ import absolute_import, unicode_literals
from django.utils import version as django_version
from model_bakery ... | code_fim | hard | {
"lang": "python",
"repo": "vintasoftware/drf-rw-serializers",
"path": "/tests/test_viewsets.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>class OrderViewsetRetrieveUpdateDestroyTests(
BaseTestCase, TestRetrieveRequestSuccess, TestUpdateRequestSuccess):
def setUp(self):
super(OrderViewsetRetrieveUpdateDestroyTests, self).setUp()
self.object = baker.make('example_app.Order')
baker.make('example_app.Ordered... | code_fim | hard | {
"lang": "python",
"repo": "vintasoftware/drf-rw-serializers",
"path": "/tests/test_viewsets.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Jprebys/genetic_engineering path: /src/functions.py
import pandas as pd
import numpy as np
def top10_accuracy_scorer(estimator, X, y):
"""A custom scorer that evaluates a model on whether the correct label is in
the top 10 most probable predictions.
Args:
estimator (sklea... | code_fim | hard | {
"lang": "python",
"repo": "Jprebys/genetic_engineering",
"path": "/src/functions.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def to_numeric_sequence(sequence, subseq_len=3):
"""Take in a gene sequence as a string
optional arg subseq_len
Return a numeric sequence representing it
as a Numpy array
"""
subs = get_subs(subseq_len)
encoder = {sub: i for i, sub in enumerate(subs)}
num_list = [encoder[... | code_fim | hard | {
"lang": "python",
"repo": "Jprebys/genetic_engineering",
"path": "/src/functions.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tilburgsciencehub/algolia-uploader path: /main.py
import os
import json
from algoliasearch.search_client import SearchClient
<|fim_suffix|>with open(path) as f:
records = json.load(f)
index.replace_all_objects(records, {'autoGenerateObjectIDIfNotExist': True})<|fim_middle|>client = Sea... | code_fim | hard | {
"lang": "python",
"repo": "tilburgsciencehub/algolia-uploader",
"path": "/main.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>with open(path) as f:
records = json.load(f)
index.replace_all_objects(records, {'autoGenerateObjectIDIfNotExist': True})<|fim_prefix|># repo: tilburgsciencehub/algolia-uploader path: /main.py
import os
import json
from algoliasearch.search_client import SearchClient
<|fim_middle|>client = Sea... | code_fim | hard | {
"lang": "python",
"repo": "tilburgsciencehub/algolia-uploader",
"path": "/main.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>def printResults(strategyName, results):
print("\n-----||",strategyName,"||-----\n")
if(len(results) == 0):
print("No port scans detected\n")
return
table = PrettyTable()
table.field_names = ["Suspect source", "Reason"]
for idx,result in enumerate(results):
... | code_fim | hard | {
"lang": "python",
"repo": "pabloegpf1/port-scanner-detector",
"path": "/detector.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pabloegpf1/port-scanner-detector path: /detector.py
#! /usr/bin/env python3
import sys
import dpkt
from prettytable import PrettyTable
#Import strategies
from strategies.tcpsyn import tcpSynScan
from strategies.tcpconnect import tcpConnectScan
from strategies.tcpnull import tcpNullScan
from str... | code_fim | hard | {
"lang": "python",
"repo": "pabloegpf1/port-scanner-detector",
"path": "/detector.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: meanmail/django-extensions path: /django_extensions/jobs/daily/cache_cleanup.py
# -*- coding: utf-8 -*-
"""
Daily cleanup job.
Can be run as a cronjob to clean out old data from the database (only expired
sessions at the moment).
"""
from django.conf import settings
from django.core.cache impor... | code_fim | medium | {
"lang": "python",
"repo": "meanmail/django-extensions",
"path": "/django_extensions/jobs/daily/cache_cleanup.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if hasattr(settings, 'CACHES'):
for cache_name, cache_options in settings.CACHES.items():
if cache_options['BACKEND'].endswith("DatabaseCache"):
cache = caches[cache_name]
cache.clear()
return<|fim_prefix|># repo: mean... | code_fim | medium | {
"lang": "python",
"repo": "meanmail/django-extensions",
"path": "/django_extensions/jobs/daily/cache_cleanup.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> time_start = time.time()
#TODO implement light color prediction
#image_np = self.__preprocess_image(image)
image_np = image
# Expand dimensions since the model expects images to have shape: [1, None, None, 3]
image_np_expanded = np.expand_dims(imag... | code_fim | hard | {
"lang": "python",
"repo": "jumanamp/CarND-Capstone",
"path": "/ros/src/tl_detector/light_classification/tl_classifier.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jumanamp/CarND-Capstone path: /ros/src/tl_detector/light_classification/tl_classifier.py
from styx_msgs.msg import TrafficLight
import rospy
import tensorflow as tf
import numpy as np
import time
from PIL import Image
DETECTION_THRESHOLD = 0.5
class TLClassifier(object):
def __init__(self,... | code_fim | hard | {
"lang": "python",
"repo": "jumanamp/CarND-Capstone",
"path": "/ros/src/tl_detector/light_classification/tl_classifier.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: twktheainur/pyclinrec path: /example_applications/agrovoc/generate_dictionary.py
from logging import getLogger
import argparse
from pyclinrec.dictionary import generate_dictionary_from_skos_sparql
parser = argparse.ArgumentParser(description='Agrovoc Dictionary Generator')
<|fim_suffix|>args ... | code_fim | hard | {
"lang": "python",
"repo": "twktheainur/pyclinrec",
"path": "/example_applications/agrovoc/generate_dictionary.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>parser.add_argument('--from', '-f', type=str, nargs=1, required=False, dest="from_stmt", default=[""])
parser.add_argument('--output', '-o', type=str, nargs=1, required=False, dest='output',
default=["agrovoc_dictionary.tsv"])
parser.add_argument('--language', '-l', type=str, nargs=1, ... | code_fim | medium | {
"lang": "python",
"repo": "twktheainur/pyclinrec",
"path": "/example_applications/agrovoc/generate_dictionary.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>args = parser.parse_args()
endpoint = args.endpoint[0]
from_stmt = args.from_stmt[0]
output = args.output[0]
language = args.language[0]
generate_dictionary_from_skos_sparql(endpoint, output, skos_xl_labels=True, lang=language, from_statement=from_stmt)<|fim_prefix|># repo: twktheainur/pyclinrec path: ... | code_fim | hard | {
"lang": "python",
"repo": "twktheainur/pyclinrec",
"path": "/example_applications/agrovoc/generate_dictionary.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: yannik-ammann/django-ar-organizations path: /organizations/templatetags/org_tags.py
from django import template
from organizations.utils import get_users_organizations
register = template.Library()
<|fim_suffix|>
@register.assignment_tag
def users_organizations(user):
"""
Returns all o... | code_fim | hard | {
"lang": "python",
"repo": "yannik-ammann/django-ar-organizations",
"path": "/organizations/templatetags/org_tags.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>@register.assignment_tag
def users_organizations(user):
"""
Returns all organizations, in wich the user is member.
Use in Template:
{% load org_tags %}
{% users_organizations request.user as my_orgs %}
"""
if not user or not user.is_authenticated():
return None
else... | code_fim | hard | {
"lang": "python",
"repo": "yannik-ammann/django-ar-organizations",
"path": "/organizations/templatetags/org_tags.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> value = int(match.group(1))
increment = match.group(2)
if increment.endswith('s'):
increment = increment[:-1]
multiplier = {
'second': 1,
'minute': 60,
'hour': 60*60,
'day': 60*60*24
}[increment]
re... | code_fim | hard | {
"lang": "python",
"repo": "cloud-copy/core",
"path": "/cloudcopy/server/utils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cloud-copy/core path: /cloudcopy/server/utils.py
import re
import arrow
import uuid
from adbc.store import Database
from adbc.utils import is_url
def get_uuid():
<|fim_suffix|>
def is_uuid(uid, version=4):
# TODO: real uuid check
try:
uuid.UUID(uid, version=version)
retu... | code_fim | medium | {
"lang": "python",
"repo": "cloud-copy/core",
"path": "/cloudcopy/server/utils.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> tc = CMakeToolchain(self)
tc.cache_variables["BUILD_EXAMPLES"] = "FALSE"
tc.cache_variables["BUILD_TESTS"] = "FALSE"
tc.generate()
def layout(self):
cmake_layout(self, src_folder="src")
def config_options(self):
if self.settings.os == "Windows":
... | code_fim | hard | {
"lang": "python",
"repo": "conan-io/conan-center-index",
"path": "/recipes/open-dis-cpp/all/conanfile.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> get(self, **self.conan_data["sources"][self.version],
destination=self.source_folder, strip_root=True)
def build(self):
apply_conandata_patches(self)
cmake = CMake(self)
cmake.configure()
cmake.build()
def package(self):
copy(self, patt... | code_fim | hard | {
"lang": "python",
"repo": "conan-io/conan-center-index",
"path": "/recipes/open-dis-cpp/all/conanfile.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: conan-io/conan-center-index path: /recipes/open-dis-cpp/all/conanfile.py
import os
from conan import ConanFile
from conan.tools.cmake import CMake, CMakeToolchain, cmake_layout
from conan.tools.files import apply_conandata_patches, copy, export_conandata_patches, get, rmdir
from conan.tools.layo... | code_fim | hard | {
"lang": "python",
"repo": "conan-io/conan-center-index",
"path": "/recipes/open-dis-cpp/all/conanfile.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: gogaman7/timestrap path: /timesheets/models.py
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from datetime import date
from django.db import models
from django.db.models import Sum
from .utils import duration_string
class Client(models.Model):
name = models.CharField(ma... | code_fim | hard | {
"lang": "python",
"repo": "gogaman7/timestrap",
"path": "/timesheets/models.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> return duration_string(self.projects.aggregate(
Sum('entries__duration')
)['entries__duration__sum'])
class Project(models.Model):
client = models.ForeignKey('Client', related_name='projects')
name = models.CharField(max_length=255)
archive = models.BooleanFie... | code_fim | hard | {
"lang": "python",
"repo": "gogaman7/timestrap",
"path": "/timesheets/models.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: liemvo/learnpython3 path: /Numbers/e.py
# -*- coding: utf-8 -*-
# -*- coding: utf-8 -*-
from math import e
def e_with_precision(n):
<|fim_suffix|> break
if __name__ == '__main__':
main()<|fim_middle|> return '{:.{}f}'.format(e, n)
def main():
while True:
try:
... | code_fim | hard | {
"lang": "python",
"repo": "liemvo/learnpython3",
"path": "/Numbers/e.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> while True:
try:
number = int(input('Please enter number between 3 and 48: '))
except:
print('You don\'t enter a number')
else:
if number < 3 or number > 50:
print('Number must be between 3 and 48')
else:
... | code_fim | medium | {
"lang": "python",
"repo": "liemvo/learnpython3",
"path": "/Numbers/e.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> break
if __name__ == '__main__':
main()<|fim_prefix|># repo: liemvo/learnpython3 path: /Numbers/e.py
# -*- coding: utf-8 -*-
# -*- coding: utf-8 -*-
from math import e
def e_with_precision(n):
return '{:.{}f}'.format(e, n)
<|fim_middle|>def main():
while True:
try:
... | code_fim | hard | {
"lang": "python",
"repo": "liemvo/learnpython3",
"path": "/Numbers/e.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: construct/construct path: /deprecated_gallery/elf32.py
"""
Executable and Linkable Format (ELF), 32 bit, big or little endian.
Used on Unix systems as a replacement of the older a.out format.
Big-endian support kindly submitted by Craig McQueen (mcqueen-c#edsrd1!yzk!co!jp).
"""
from construct i... | code_fim | hard | {
"lang": "python",
"repo": "construct/construct",
"path": "/deprecated_gallery/elf32.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> "sections" / Pointer(this.sh_offset,
elf32_section_header[this.sh_count]),
)
elf32_file = Struct(
"identifier" / Struct(
Const(b"\x7fELF"),
"file_class" / Enum(Byte,
NONE = 0,
CLASS32 = 1,
CLASS64 = 2,
),
"en... | code_fim | hard | {
"lang": "python",
"repo": "construct/construct",
"path": "/deprecated_gallery/elf32.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: yottabytt/atlas path: /atlas/foundations_contrib/src/test/test_bucket_job_deployment.py
import unittest
from mock import patch, Mock, mock_open
from foundations_contrib.bucket_job_deployment import BucketJobDeployment
from foundations_spec.helpers.spec import Spec
from foundations_spec.helper... | code_fim | hard | {
"lang": "python",
"repo": "yottabytt/atlas",
"path": "/atlas/foundations_contrib/src/test/test_bucket_job_deployment.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.deployment.upload_to_result_bucket()
self.deployment._result_bucket.upload_from_file.assert_called_with(self.deployment._job_archive_name(), self._mock_open())<|fim_prefix|># repo: yottabytt/atlas path: /atlas/foundations_contrib/src/test/test_bucket_job_deployment.py
import unittes... | code_fim | hard | {
"lang": "python",
"repo": "yottabytt/atlas",
"path": "/atlas/foundations_contrib/src/test/test_bucket_job_deployment.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>
@patch('builtins.open', _mock_open)
def test_upload_to_result_bucket_opens_job_archive(self):
self.deployment.upload_to_result_bucket()
open.assert_called_with(self.deployment._job_archive(), 'rb')
@patch('builtins.open', _mock_open, create=True)
def test_upload_to_result... | code_fim | hard | {
"lang": "python",
"repo": "yottabytt/atlas",
"path": "/atlas/foundations_contrib/src/test/test_bucket_job_deployment.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> if n <= 1: return 0 #Base cases
prime = [True for i in range(n)] #Create an array of n True elements
prime[0]=prime[1]=False # We know 0 and 1 are not primes
p = 2
while (p * p < n): #Same as p < sqrt(n)
# Check if p is prime so far
... | code_fim | medium | {
"lang": "python",
"repo": "bpbpublications/Python-Quick-Interview-Guide",
"path": "/Chapter 03/count_primes.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bpbpublications/Python-Quick-Interview-Guide path: /Chapter 03/count_primes.py
'''
class Solution:
def countPrimes(self, n: int) -> int:
if n<2: #Base cases
return 0
count = 0
for i in range(2,n):
if self.isPrime... | code_fim | medium | {
"lang": "python",
"repo": "bpbpublications/Python-Quick-Interview-Guide",
"path": "/Chapter 03/count_primes.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Sabse95/Snowboy_REST_API_Project path: /examples/Python/training_service.py
#Python module for teaching words with the Snowboy-Training-REST-API
import sys
import base64
import requests
def get_wave(fname):
with open(fname) as infile:
return base64.b64encode(infile.read())
def ma... | code_fim | hard | {
"lang": "python",
"repo": "Sabse95/Snowboy_REST_API_Project",
"path": "/examples/Python/training_service.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
############# MODIFY THE FOLLOWING #############
#get your Token from the Snowboy Profile Settings
token = "68077f151b4f7da54af8516d4e034abf77b6591a"
hotword_name = arg4
language = "dt"
age_group = "20_29"
gender = "F"
microphone = "usb microphone"
############### END OF MODIFY #################... | code_fim | medium | {
"lang": "python",
"repo": "Sabse95/Snowboy_REST_API_Project",
"path": "/examples/Python/training_service.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> data = {
"name": hotword_name,
"language": language,
"age_group": age_group,
"gender": gender,
"microphone": microphone,
"token": token,
"voice_samples": [
{"wave": get_wave("resources/"+arg1)},
{"wave": get_wave("resources/"+arg2)},
{"wave": get_wave("resources/"+arg3)}
]
}
r... | code_fim | hard | {
"lang": "python",
"repo": "Sabse95/Snowboy_REST_API_Project",
"path": "/examples/Python/training_service.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: rhksdn04/Melbourne-Mouse-Movement-Detection-in-Videos path: /movement_detector/plotter.py
#!/usr/bin/env python
# Python 2/3 compatibility
from __future__ import print_function
import sys
<|fim_suffix|> x=[]
y=[]
with open(sys.argv[1], 'rb') as f:
reader = csv.reader(f)
... | code_fim | hard | {
"lang": "python",
"repo": "rhksdn04/Melbourne-Mouse-Movement-Detection-in-Videos",
"path": "/movement_detector/plotter.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>
plt.plot(x, y, 'ro')
plt.savefig(ntpath.basename(sys.argv[1])+'-output.png')
if __name__ == '__main__':
main()<|fim_prefix|># repo: rhksdn04/Melbourne-Mouse-Movement-Detection-in-Videos path: /movement_detector/plotter.py
#!/usr/bin/env python
# Python 2/3 compatibility
from __future__ impo... | code_fim | hard | {
"lang": "python",
"repo": "rhksdn04/Melbourne-Mouse-Movement-Detection-in-Videos",
"path": "/movement_detector/plotter.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: vigsterkr/FlowKet path: /src/flowket/callbacks/exact/sigma_z.py
import numpy
from tensorflow.keras.callbacks import Callback
from ...exact.utils import fdot
class ExactSigmaZ(Callback):
def __init__(self, exact_variational, log_in_batch_or_epoch=True, **kwargs):
<|fim_suffix|> def on_ep... | code_fim | hard | {
"lang": "python",
"repo": "vigsterkr/FlowKet",
"path": "/src/flowket/callbacks/exact/sigma_z.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
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