text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_prefix|># repo: soamvasani/emoji-pod-visualizer path: /fission-functions/podwatcher.py
from flask import request
from flask import current_app
import json
import requests
def main():
eventType = request.headers["X-Kubernetes-Event-Type"]
objType = request.headers["X-Kubernetes-Object-Type"]
if objT... | code_fim | medium | {
"lang": "python",
"repo": "soamvasani/emoji-pod-visualizer",
"path": "/fission-functions/podwatcher.py",
"mode": "psm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_suffix|> return ""
def summarizeContainerStates(pod):
containerStatuses = pod["status"]["containerStatuses"]
states = {}
for cs in containerStatuses:
name = cs["name"]
state = cs["state"]
if "running" in state:
states[name] = "running"
elif "termina... | code_fim | hard | {
"lang": "python",
"repo": "soamvasani/emoji-pod-visualizer",
"path": "/fission-functions/podwatcher.py",
"mode": "spm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jwlademann/llc-api path: /application/register_utils.py
import flask
import requests
from application import app, charge_validators, register_validators
import jsonschema
import ramlfications
REGISTER_INFO = {
"local-land-charge": {
"raml": ramlfications.parse(app.static_folder + '... | code_fim | hard | {
"lang": "python",
"repo": "jwlademann/llc-api",
"path": "/application/register_utils.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def retrieve_curie(curie):
"""Lookup the given curie and return record if found/valid, else return None
"""
if curie in CURIE_CACHE:
return CURIE_CACHE[curie]
register, primary_id = curie.split(':')
if register not in REGISTER_INFO:
raise Exception("Invalid register na... | code_fim | hard | {
"lang": "python",
"repo": "jwlademann/llc-api",
"path": "/application/register_utils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> _test_fit_score("LL1_TXT_CLS_apple_products_sentiment_MIN_METADATA")<|fim_prefix|># repo: kungfuai/d3m-primitives path: /tests/test_sent2vec.py
from kf_d3m_primitives.natural_language_processing.sent2vec.sent2vec_pipeline import (
Sent2VecPipeline,
)
def _test_fit_score(dataset):
<|fim_middle|... | code_fim | medium | {
"lang": "python",
"repo": "kungfuai/d3m-primitives",
"path": "/tests/test_sent2vec.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kungfuai/d3m-primitives path: /tests/test_sent2vec.py
from kf_d3m_primitives.natural_language_processing.sent2vec.sent2vec_pipeline import (
Sent2VecPipeline,
)
<|fim_suffix|>def test_fit_score_dataset_apple_products():
_test_fit_score("LL1_TXT_CLS_apple_products_sentiment_MIN_METADATA"... | code_fim | medium | {
"lang": "python",
"repo": "kungfuai/d3m-primitives",
"path": "/tests/test_sent2vec.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>while (''.join(curr_guess) != chosen_word):
guess = input(f'You have {curr_lives} lives. Enter a random letter: ').lower()
for number in range(0, len(chosen_word)):
if chosen_word[number] == guess:
curr_guess[number] = guess
print(assets.stages[curr_lives])
if not guess in chosen_wor... | code_fim | medium | {
"lang": "python",
"repo": "eddie246/python-playground",
"path": "/Week 1/day 7 - Hangman/index.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: eddie246/python-playground path: /Week 1/day 7 - Hangman/index.py
import random
import assets
import wordbank
print(f'{assets.logo}\nWelcome to Handman!')
chosen_word = random.choice(wordbank.word_list)
curr_guess = []
curr_lives = 6
<|fim_suffix|> print(' '.join(curr_guess))
if not '_' in... | code_fim | hard | {
"lang": "python",
"repo": "eddie246/python-playground",
"path": "/Week 1/day 7 - Hangman/index.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> print(' '.join(curr_guess))
if not '_' in curr_guess:
print(f'You won! the word was: {chosen_word}')<|fim_prefix|># repo: eddie246/python-playground path: /Week 1/day 7 - Hangman/index.py
import random
import assets
import wordbank
print(f'{assets.logo}\nWelcome to Handman!')
chosen_word = random.... | code_fim | hard | {
"lang": "python",
"repo": "eddie246/python-playground",
"path": "/Week 1/day 7 - Hangman/index.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>admin.site.register(Referral, ReferralAdmin)<|fim_prefix|># repo: chhantyal/referly path: /referly/referrals/admin.py
# -*- coding: utf-8 -*-
from django.contrib import admin
from .models import Referral
class ReferralAdmin(admin.ModelAdmin):
<|fim_middle|> list_display = ('title', 'date_created', ... | code_fim | medium | {
"lang": "python",
"repo": "chhantyal/referly",
"path": "/referly/referrals/admin.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: chhantyal/referly path: /referly/referrals/admin.py
# -*- coding: utf-8 -*-
from django.contrib import admin
from .models import Referral
<|fim_suffix|> list_display = ('title', 'date_created', 'user',)
list_filter = ('date_created',)
search_fields = ('title',)
admin.site.register(R... | code_fim | easy | {
"lang": "python",
"repo": "chhantyal/referly",
"path": "/referly/referrals/admin.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> list_display = ('title', 'date_created', 'user',)
list_filter = ('date_created',)
search_fields = ('title',)
admin.site.register(Referral, ReferralAdmin)<|fim_prefix|># repo: chhantyal/referly path: /referly/referrals/admin.py
# -*- coding: utf-8 -*-
from django.contrib import admin
<|fim_m... | code_fim | medium | {
"lang": "python",
"repo": "chhantyal/referly",
"path": "/referly/referrals/admin.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> image_urls = response.css(
'article.article-content img::attr(data-original)').getall()
# yield items.MyImageItem(image_urls=map(lambda x: response.urljoin(x), image_urls))
for i in map(lambda x: response.urljoin(x), image_urls):
yield {'url': i}<|fim_prefix... | code_fim | medium | {
"lang": "python",
"repo": "techstay/python-study",
"path": "/enjoybeautiful/enjoybeautiful/spiders/smtmm.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: techstay/python-study path: /enjoybeautiful/enjoybeautiful/spiders/smtmm.py
import scrapy
from .. import items
class SmtmmSpider(scrapy.Spider):
<|fim_suffix|> def parse(self, response):
image_urls = response.css(
'article.article-content img::attr(data-original)').getall... | code_fim | medium | {
"lang": "python",
"repo": "techstay/python-study",
"path": "/enjoybeautiful/enjoybeautiful/spiders/smtmm.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # --- sqlogger ------------------------------------
SQLOGGER_DIR = DATA_DIR / 'logs'
SQLOGGER_USER_KEY = 'user'
# --- sendgrid -----------------------------------
SENDGRID_SENDER = ''
SENDGRID_API_KEY = '< - secret - >'
# --- onedrive ----------------------------------
ON... | code_fim | hard | {
"lang": "python",
"repo": "k3-cat/olea",
"path": "/olea/configs/production.example.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: k3-cat/olea path: /olea/configs/production.example.py
from datetime import timedelta
from olea_path import DATA_DIR
from .url_mgr import UrlMgr
class Config():
# --- flask -------------------------------------
DEBUG = False
MAX_CONTENT_LENGTH = 10 * 1024
<|fim_suffix|> # --- r... | code_fim | hard | {
"lang": "python",
"repo": "k3-cat/olea",
"path": "/olea/configs/production.example.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # --- sentry ------------------------------------
SENTRY_DSN = '< - secret - >'
# --- sqlogger ------------------------------------
SQLOGGER_DIR = DATA_DIR / 'logs'
SQLOGGER_USER_KEY = 'user'
# --- sendgrid -----------------------------------
SENDGRID_SENDER = ''
SENDGRID... | code_fim | hard | {
"lang": "python",
"repo": "k3-cat/olea",
"path": "/olea/configs/production.example.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> '''
if (sessionid != "zzzz" and sessionid != False or self.is_admin()):
return True
else:
return False
def is_admin(self):
'''
Checks if the client is admin.
:rtype: boolean
'''
if (self.role == ... | code_fim | hard | {
"lang": "python",
"repo": "danilovbarbosa/sg-gameevents",
"path": "/gameevents/gameevents_app/models/client.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> '''
Generates an authentication token, which contains client data and the sessionid.
A token with no associated sessionid is only allowed to admins.
:param sessionid: Optional sessionid to be included in the token
:param expiration: Optional custom expirati... | code_fim | hard | {
"lang": "python",
"repo": "danilovbarbosa/sg-gameevents",
"path": "/gameevents/gameevents_app/models/client.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: danilovbarbosa/sg-gameevents path: /gameevents/gameevents_app/models/client.py
''''''
from uuid import UUID
import OpenSSL
from passlib.apps import custom_app_context as pwd_context
from itsdangerous import (TimedJSONWebSignatureSerializer as Serializer, BadSignature, SignatureExpired)
from flas... | code_fim | hard | {
"lang": "python",
"repo": "danilovbarbosa/sg-gameevents",
"path": "/gameevents/gameevents_app/models/client.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # find position of current group
pos_omission = sum(len(g) for k, (_, g) in enumerate(groups) if k < i)
# swap first element from omissions with center of group of sounds
middle[pos_sound], middle[pos_omission] = (
middle[pos_omission],
... | code_fim | hard | {
"lang": "python",
"repo": "mscheltienne/cardio-audio-sleep",
"path": "/cardio_audio_sleep/utils/sequence.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mscheltienne/cardio-audio-sleep path: /cardio_audio_sleep/utils/sequence.py
import math
import random
from itertools import groupby
from typing import Union
import numpy as np
from numpy.typing import NDArray
from ._checks import _check_type, _check_value
from ._logs import logger
def generat... | code_fim | hard | {
"lang": "python",
"repo": "mscheltienne/cardio-audio-sleep",
"path": "/cardio_audio_sleep/utils/sequence.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if position_in_triangle(i, j):
self.internal_representation[i][j] = 1
else:
msg = 'Requested peg placement for location not in triangle'
raise Exception(msg)
def clone(self):
return deepcopy(self)
def get_num_pegs(self):
return ... | code_fim | hard | {
"lang": "python",
"repo": "deloachcd/pycrackerbarrel",
"path": "/CrackerBarrelTriangle.py",
"mode": "spm",
"license": "WTFPL",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: deloachcd/pycrackerbarrel path: /CrackerBarrelTriangle.py
import numpy as np
from copy import deepcopy
import textwrap
# Simple function for determining if location is within triangle
def position_in_triangle(i, j):
return (j <= i and i < 5 and j < 5 and i >= 0 and j >= 0)
# Peg positions... | code_fim | hard | {
"lang": "python",
"repo": "deloachcd/pycrackerbarrel",
"path": "/CrackerBarrelTriangle.py",
"mode": "psm",
"license": "WTFPL",
"source": "the-stack-v2"
} |
<|fim_suffix|> def place_peg(self, i, j):
if position_in_triangle(i, j):
self.internal_representation[i][j] = 1
else:
msg = 'Requested peg placement for location not in triangle'
raise Exception(msg)
def clone(self):
return deepcopy(self)
def get_... | code_fim | hard | {
"lang": "python",
"repo": "deloachcd/pycrackerbarrel",
"path": "/CrackerBarrelTriangle.py",
"mode": "spm",
"license": "WTFPL",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pegasus-isi/SPLINTER-Workflow path: /dax-generator.py
#!/usr/bin/python
from Pegasus.DAX3 import *
import socket
import sys
import os
from stat import *
##############################
## Settings
# Maximum tasks in a sub workflow
max_tasks_per_sub_wf = 25000
##############################
b... | code_fim | hard | {
"lang": "python",
"repo": "pegasus-isi/SPLINTER-Workflow",
"path": "/dax-generator.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|># Add executables to the DAX-level replica catalog
subdax_generator = Executable(name="subdax-generator.py", arch="x86_64", installed=False)
subdax_generator.addPFN(PFN("file://" + base_dir + "/subdax-generator.py", "local"))
dax.addExecutable(subdax_generator)
postsubdax_sh = Executable(name="postsubdax... | code_fim | hard | {
"lang": "python",
"repo": "pegasus-isi/SPLINTER-Workflow",
"path": "/dax-generator.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: xuechendi/HDCS path: /hdcs_manager/source/hsm-dashboard/hsm_dashboard/exceptions.py
from hsmclient import exceptions as hsmclient
from keystoneclient import exceptions as keystoneclient
<|fim_suffix|>NOT_FOUND = (keystoneclient.NotFound,
hsmclient.NotFound)
# NOTE(gabriel): This i... | code_fim | hard | {
"lang": "python",
"repo": "xuechendi/HDCS",
"path": "/hdcs_manager/source/hsm-dashboard/hsm_dashboard/exceptions.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>NOT_FOUND = (keystoneclient.NotFound,
hsmclient.NotFound)
# NOTE(gabriel): This is very broad, and may need to be dialed in.
RECOVERABLE = (keystoneclient.ClientException,
# AuthorizationFailure is raised when Keystone is "unavailable".
keystoneclient.Authorizat... | code_fim | hard | {
"lang": "python",
"repo": "xuechendi/HDCS",
"path": "/hdcs_manager/source/hsm-dashboard/hsm_dashboard/exceptions.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> **kwargs):
"""
:param target_indic_fname: binary indicators field name marking data
units.
:param new_original_indxs_fname: if provided, will create a new field with
original indxs of data-units.
... | code_fim | hard | {
"lang": "python",
"repo": "developerdrone/FewSum",
"path": "/mltoolkit/mldp/steps/transformers/general/target_unit_selector.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: developerdrone/FewSum path: /mltoolkit/mldp/steps/transformers/general/target_unit_selector.py
from mltoolkit.mldp.steps.transformers import BaseTransformer
from mltoolkit.mldp.utils.constants.dp import EMPTY_CHUNK
import numpy as np
class TargetUnitSelector(BaseTransformer):
<|fim_suffix|> ... | code_fim | hard | {
"lang": "python",
"repo": "developerdrone/FewSum",
"path": "/mltoolkit/mldp/steps/transformers/general/target_unit_selector.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if data_chunk[self.target_indic_fname].dtype not in [np.int32, np.int64]:
raise ValueError("Target indxs field should contain int 0 and 1 "
"values only.")
if self.new_original_indxs_fname:
data_chunk[self.new_original_indxs_fname] = np.... | code_fim | hard | {
"lang": "python",
"repo": "developerdrone/FewSum",
"path": "/mltoolkit/mldp/steps/transformers/general/target_unit_selector.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: madcowfred/evething path: /thing/views/pi.py
# ------------------------------------------------------------------------------
# Copyright (c) 2010-2013, EVEthing team
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without modification,
# are permitted provid... | code_fim | hard | {
"lang": "python",
"repo": "madcowfred/evething",
"path": "/thing/views/pi.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> """PI"""
tt = TimerThing('pi')
characters = Character.objects.filter(
apikeys__user=request.user,
apikeys__valid=True,
apikeys__key_type__in=[APIKey.ACCOUNT_TYPE, APIKey.CHARACTER_TYPE]
).distinct().select_related('colony_set')
pi_map = {}
for character in... | code_fim | hard | {
"lang": "python",
"repo": "madcowfred/evething",
"path": "/thing/views/pi.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: predora005/weather-forecasting path: /07.gsm_random_forest/wfile/read_csv.py
# coding: utf-8
import os
import pandas as pd
import re
import datetime
from . import name_handle
##################################################
# CSVファイルから地上の気象データを読み込み、
# DataFrameを返す
############################... | code_fim | hard | {
"lang": "python",
"repo": "predora005/weather-forecasting",
"path": "/07.gsm_random_forest/wfile/read_csv.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> Args:
file_path (string) : ファイルパス
Returns:
DataFrame : ファイルの読込結果
"""
# CSVファイル読み込み
df = pd.read_csv(file_path, sep=',', skiprows=0, header=[0], index_col=0)
# ファイル名から地点名、日付を抽出
file_name = os.path.basename(file_path)
elements = name_handle.eleme... | code_fim | hard | {
"lang": "python",
"repo": "predora005/weather-forecasting",
"path": "/07.gsm_random_forest/wfile/read_csv.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
if __name__ == '__main__':
sc = testSerial()
while(True):
# Receive line from the USBISS
line_received = sc.test_readline()
time.sleep(1)
# Send the line back to the USBISS
sc.test_sendLine(line_received)<|fim_prefix|># repo: gwdehaan/pyusbiss path: /test... | code_fim | hard | {
"lang": "python",
"repo": "gwdehaan/pyusbiss",
"path": "/tests/SerialClient.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: gwdehaan/pyusbiss path: /tests/SerialClient.py
# GdH SerialClient 29-3-2019
# Testprogram for the USBISS Serialdriver
# Used in conjunction with the unittest : test_serial_otherclient.
# Prerequisite is the availability of another COM port on the test machine. A standard FTDI based device can be ... | code_fim | hard | {
"lang": "python",
"repo": "gwdehaan/pyusbiss",
"path": "/tests/SerialClient.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ebonilla/GGP path: /ggp/utils.py
# Author: Yin Cheng Ng
# Some data pipeline and pre-processing functions are derived from https://github.com/tkipf/gcn
import sys, os, zipfile
import scipy.sparse as sp, numpy as np, pickle as pkl, networkx as nx, tensorflow as tf
from sklearn.feature_extraction.... | code_fim | hard | {
"lang": "python",
"repo": "ebonilla/GGP",
"path": "/ggp/utils.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> df_y = pd.DataFrame({"a": y_all, "b": 1 - y_all})
y_all = df_y.values
X_all = np.eye(g_nx.number_of_nodes())
print("y_all shape {}".format(y_all.shape))
print("X_all shape {}".format(X_all.shape))
# Extract the adjacency matrix.
# A should be scipy sparse matrix
print("E... | code_fim | hard | {
"lang": "python",
"repo": "ebonilla/GGP",
"path": "/ggp/utils.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> files = glob.glob('*.txt')
for filename in files:
convert_youtube_subtitle_to_srt(filename)
if __name__ == '__main__':
main()<|fim_prefix|># repo: vitorfs/yt2srt path: /yt2srt.py
import glob
def convert_youtube_subtitle_to_srt(youtube_subtitles_filename):
base_filename = youtu... | code_fim | hard | {
"lang": "python",
"repo": "vitorfs/yt2srt",
"path": "/yt2srt.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: vitorfs/yt2srt path: /yt2srt.py
import glob
def convert_youtube_subtitle_to_srt(youtube_subtitles_filename):
base_filename = youtube_subtitles_filename.split('.')[0]
srt_out_filename = '%s.srt' % base_filename
subtitles = list()
with open(youtube_subtitles_filename, 'r') as infi... | code_fim | hard | {
"lang": "python",
"repo": "vitorfs/yt2srt",
"path": "/yt2srt.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>@pytest.mark.parametrize('val1, val2, val3', TEST_PUSH_MULT)
def test_dque_peek(val1, val2, val3, new_dque):
"""Append 3 values and confirm that peek sees the end of the dque."""
assert new_dque.peek() is None
new_dque.append(val1)
new_dque.append(val2)
new_dque.append(val3)
assert... | code_fim | hard | {
"lang": "python",
"repo": "Woojgh/data-structure",
"path": "/src/tests/test_dque.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Append 3 values, check that pop gets the val at the end of the dque."""
new_dque.append(val1)
new_dque.append(val2)
new_dque.append(val3)
assert new_dque.pop() == val3
assert new_dque.pop() == val2
assert new_dque.pop() == val1
@pytest.mark.parametrize('val1, val2, val3', ... | code_fim | hard | {
"lang": "python",
"repo": "Woojgh/data-structure",
"path": "/src/tests/test_dque.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Woojgh/data-structure path: /src/tests/test_dque.py
"""Test the dqueue.py module."""
import pytest
TEST_PUSH = [
(1, 1),
(800, 800),
('String', 'String'),
([5, 3, 17], [5, 3, 17])
]
TEST_PUSH_MULT = [
(1, 2, 3),
(800, 'String', 5),
('String', ['list'], 17),
([... | code_fim | hard | {
"lang": "python",
"repo": "Woojgh/data-structure",
"path": "/src/tests/test_dque.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> elif name == 'sin':
cos = sqrt(1 - value ** 2)
tan = abs(value / cos)
print("sin={},cos={}{},tan={}{}".format(value,
sign[quad+4],cos,
sign[quad+8],tan))
elif name == 'cos':
... | code_fim | hard | {
"lang": "python",
"repo": "avanish981/python",
"path": "/math/calcu_trig.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: avanish981/python path: /math/calcu_trig.py
from math import sqrt
sign = ["",
"","",'-','-', #sin
"",'-',"-",'', #cos
"",'-','',"-"] #tan
def trig_func(name,value,quad=1):
if name == 'tan':
cos = sqrt(1 / (value ** 2 + 1))
sin = abs(value * cos)
... | code_fim | hard | {
"lang": "python",
"repo": "avanish981/python",
"path": "/math/calcu_trig.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> elif name == 'cos':
sin = sqrt(1 - value ** 2)
tan = abs(sin / value)
print("sin={}{},cos={},tan={}{}".format(sign[quad],sin,
value,
sign[quad+8],tan))
else:
print('not ... | code_fim | hard | {
"lang": "python",
"repo": "avanish981/python",
"path": "/math/calcu_trig.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>.scanvi import SCANVI
from .gimvi import GIMVI
__all__ = ["SCVI", "TOTALVI", "LinearSCVI", "AUTOZI", "SCANVI", "GIMVI"]<|fim_prefix|># repo: TheAustinator/scvi-tools path: /scvi/model/__init__.py
from .scvi import SCVI
from .totalvi import TOTALVI
from .li<|fim_middle|>near_scvi import LinearSCVI
from .... | code_fim | medium | {
"lang": "python",
"repo": "TheAustinator/scvi-tools",
"path": "/scvi/model/__init__.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: TheAustinator/scvi-tools path: /scvi/model/__init__.py
from .scvi import SCVI
from .totalvi import TOTALVI
from .li<|fim_suffix|>.scanvi import SCANVI
from .gimvi import GIMVI
__all__ = ["SCVI", "TOTALVI", "LinearSCVI", "AUTOZI", "SCANVI", "GIMVI"]<|fim_middle|>near_scvi import LinearSCVI
from .... | code_fim | medium | {
"lang": "python",
"repo": "TheAustinator/scvi-tools",
"path": "/scvi/model/__init__.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> _SPLAT.__init__(self)
self.name = "SPLATS"
self.specie = 'nouns'
self.basic = "splat"
self.jsondata = {}<|fim_prefix|># repo: cash2one/xai path: /xai/brain/wordbase/nouns/_splats.py
from xai.brain.wordbase.nouns._splat import _SPLAT
#calss header
class _SPLATS(_SPLAT, ):
<|fim_middle|> def _... | code_fim | easy | {
"lang": "python",
"repo": "cash2one/xai",
"path": "/xai/brain/wordbase/nouns/_splats.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cash2one/xai path: /xai/brain/wordbase/nouns/_splats.py
from xai.brain.wordbase.nouns._splat import _SPLAT
<|fim_suffix|> _SPLAT.__init__(self)
self.name = "SPLATS"
self.specie = 'nouns'
self.basic = "splat"
self.jsondata = {}<|fim_middle|>#calss header
class _SPLATS(_SPLAT, ):
def _... | code_fim | medium | {
"lang": "python",
"repo": "cash2one/xai",
"path": "/xai/brain/wordbase/nouns/_splats.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return ''
@register.assignment_tag(takes_context=True)
def get_current_app(context):
request = context['request']
resolved = resolve(request.path_info)
app_name = resolved.app_name
app = importlib.import_module(app_name)
return app
@register.assignment_tag(takes_context=T... | code_fim | hard | {
"lang": "python",
"repo": "skada/splunk-appframework",
"path": "/server/appfx/templatetags/tags.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def filter_visible_and_enabled(app):
visible = app['visible'] == '1'
enabled = app['disabled'] != '1'
return visible and enabled
def get_name_and_url(app):
app_name = app['label']
app_url = "/en-US/app/%s" % app.name
return {
... | code_fim | hard | {
"lang": "python",
"repo": "skada/splunk-appframework",
"path": "/server/appfx/templatetags/tags.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: skada/splunk-appframework path: /server/appfx/templatetags/tags.py
from django import template
from django.conf import settings
from django.utils import importlib
from django.core.urlresolvers import reverse, resolve
from django.template import RequestContext
from splunklib import binding
regis... | code_fim | hard | {
"lang": "python",
"repo": "skada/splunk-appframework",
"path": "/server/appfx/templatetags/tags.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>def main():
def sample_function(s=None):
if s is None:
s = np.random.uniform(-1, 1)
def f(x):
# return torch.sign(x)*0.2
return np.exp(-np.sum((x + s) ** 2, axis=1) / 2)
# return torch.exp(-torch.sum((x + s) ** 2, dim=1) / 2).view(-1, 1)... | code_fim | hard | {
"lang": "python",
"repo": "matteo-ronchetti/IKA",
"path": "/paper results/neural_integration.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: matteo-ronchetti/IKA path: /paper results/neural_integration.py
import argparse
import dlib
import numpy as np
import scipy.optimize
from scipy.spatial import distance_matrix
from ika import distance_matrix as torch_distance_matrix
from ika import IKA
from scipy.sparse.linalg import cg
import t... | code_fim | hard | {
"lang": "python",
"repo": "matteo-ronchetti/IKA",
"path": "/paper results/neural_integration.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __init__(
self, fh: TextIO, edge_types: Iterable[str] = DEFAULT_EDGE_TYPES
) -> None:
super(NXGraphExporter, self).__init__(edge_types=edge_types)
self.fh = fh
def finalize_graph(self) -> None:
"""Convert from FtM graph model to NetworkX directed graph."""
... | code_fim | hard | {
"lang": "python",
"repo": "alephdata/followthemoney",
"path": "/followthemoney/export/graph.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class NXGraphExporter(GraphExporter):
"""Write to NetworkX data structure, which in turn can be exported
to the file formats for Gephi (GEXF) and D3."""
def __init__(
self, fh: TextIO, edge_types: Iterable[str] = DEFAULT_EDGE_TYPES
) -> None:
super(NXGraphExporter, self).... | code_fim | hard | {
"lang": "python",
"repo": "alephdata/followthemoney",
"path": "/followthemoney/export/graph.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: alephdata/followthemoney path: /followthemoney/export/graph.py
from typing import Dict, Iterable, List, Optional, TextIO, Union
import networkx as nx # type: ignore
from networkx.readwrite.gexf import generate_gexf # type: ignore
from followthemoney.graph import Edge, Graph, Node
from followth... | code_fim | hard | {
"lang": "python",
"repo": "alephdata/followthemoney",
"path": "/followthemoney/export/graph.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mahoyen/web path: /make_queue/views/reservation/reservation.py
from abc import ABCMeta
from math import ceil
from django.db.models import Q
from django.shortcuts import render, redirect
from django.urls import reverse, reverse_lazy
from django.utils import timezone
from django.views.generic impo... | code_fim | hard | {
"lang": "python",
"repo": "mahoyen/web",
"path": "/make_queue/views/reservation/reservation.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return super().dispatch(request, *args, **kwargs)
class ChangeReservationView(ReservationCreateOrChangeView):
"""View for changing a reservation (Cannot be UpdateView due to the abstract inheritance of reservations)"""
new_reservation = False
def dispatch(self, request, *args, **kwa... | code_fim | hard | {
"lang": "python",
"repo": "mahoyen/web",
"path": "/make_queue/views/reservation/reservation.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>stock = pred.Stock('tesla')
stock.create_dict(from_date, to_date)
stock_dict = stock.get_dict()
# print(stock_dict)
sent = pred.Sent('tesla', 'stwits')
sent.create_dict(precision, method, from_date, to_date, stock.get_stock_dates(), binning)
sent_dict = sent.get_dict()
# print(sent_dict)
total = 0
matc... | code_fim | hard | {
"lang": "python",
"repo": "bromjiri/Presto",
"path": "/predictor/real_check.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bromjiri/Presto path: /predictor/real_check.py
import pickle
import pandas as pd
import settings
import predictor.predictor_sklearn as pred
logreg_f = open("pickled/tesla_logreg.pickle", "rb")
logreg = pickle.load(logreg_f)
logreg_f.close()
<|fim_suffix|>stock = pred.Stock('tesla')
stock.crea... | code_fim | hard | {
"lang": "python",
"repo": "bromjiri/Presto",
"path": "/predictor/real_check.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>total = 0
match = 0
for key in sorted(stock_dict)[3:]:
total += 1
features = sent.get_features(key)
print(key, features, stock_dict[key])
if features['d3'] == stock_dict[key]:
match +=1
print(total, match)<|fim_prefix|># repo: bromjiri/Presto path: /predictor/real_check.py
import... | code_fim | hard | {
"lang": "python",
"repo": "bromjiri/Presto",
"path": "/predictor/real_check.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>ter(
id='Cliff-v0',
entry_point='gym_gridworlds.envs:CliffEnv',
)<|fim_prefix|># repo: shariq101/gym-gridworlds path: /gym_gridworlds/__init__.py
from gym.envs.registration import register
register(
id='Gridworld-v0',
entry_point='gym_gridworlds.envs:GridworldEnv'... | code_fim | medium | {
"lang": "python",
"repo": "shariq101/gym-gridworlds",
"path": "/gym_gridworlds/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: shariq101/gym-gridworlds path: /gym_gridworlds/__init__.py
from gym.envs.registration import register
register(
id='Gridworld-v0',
entry_point='gym_gridworlds.envs:GridworldEnv',
)
register(
id='WindyGri<|fim_suffix|>ter(
id='Cliff-v0',
entry_point... | code_fim | medium | {
"lang": "python",
"repo": "shariq101/gym-gridworlds",
"path": "/gym_gridworlds/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> salida.append(dist_min)
return tuple(salida)
def match_min2(coords1,coords2,tail1=(),tail2=()):
"""
where coords1 and coords2 are tuples containing 1-D arrays,
and tail1 and tail2 are tuples containing sequences of
arbitrary types
Usage:
results=match_min((x1,y1),(x2,y... | code_fim | hard | {
"lang": "python",
"repo": "joezuntz/DESC_BPZ",
"path": "/desc_bpz/useful_py3.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: joezuntz/DESC_BPZ path: /desc_bpz/useful_py3.py
it()
if len(pieces)==0: continue
key=pieces[0]
#if type(key)<>type(''):
# raise 'Keyword not string!'
if len(pieces)<2:
mensaje='No value(s) for parameter '+key
raise mensaje
... | code_fim | hard | {
"lang": "python",
"repo": "joezuntz/DESC_BPZ",
"path": "/desc_bpz/useful_py3.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> Usage:
results=match_min((x1,y1),(x2,y2),(a1,b1,c1),(d2,e2))
It returns the sequence x1,y1,x2,y2,a1,b1,c1,d2,e2, dist_min
where dist_min is the minimal value of dist(x1,y1-x2,y2)
The match looks for the objects with minimal distance
"""
nc=len(coords1)
np1=len(coords1[0])... | code_fim | hard | {
"lang": "python",
"repo": "joezuntz/DESC_BPZ",
"path": "/desc_bpz/useful_py3.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Tarmasterellis/technical_task path: /app.py
#*******************************************************************#
# #
# Author: Ellis Sanjay Tarmaster #
# Date: 06/08/2018 #
# #
#*************************************************************... | code_fim | medium | {
"lang": "python",
"repo": "Tarmasterellis/technical_task",
"path": "/app.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> for i in results:
return_result += [[i['rank'], i['title'], i['description'], i['link']]]
return render_template('results.html', result=return_result)
# Logout
@app.route('/login', methods=['GET', 'POST'])
def logout():
return render_template('login.html')
# Main Function
if __na... | code_fim | hard | {
"lang": "python",
"repo": "Tarmasterellis/technical_task",
"path": "/app.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>class NoopEmbedder(Embedder, Serializable):
"""
This embedder performs no lookups but only passes through the inputs.
Normally, the input is a Sentence object, which is converted to an expression.
Args:
emb_dim: Size of the inputs
"""
yaml_tag = '!NoopEmbedder'
@serializable_init
d... | code_fim | hard | {
"lang": "python",
"repo": "philip30/xnmt",
"path": "/xnmt/modelparts/embedders.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: philip30/xnmt path: /xnmt/modelparts/embedders.py
h case it will be a (possibly masked) :class:`xnmt.batcher.Batch` object
Returns:
An expression sequence representing vectors of each word in the input.
"""
# single mode
if not batchers.is_batched(x):
expr = expressio... | code_fim | hard | {
"lang": "python",
"repo": "philip30/xnmt",
"path": "/xnmt/modelparts/embedders.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class NoopEmbedder(Embedder, Serializable):
"""
This embedder performs no lookups but only passes through the inputs.
Normally, the input is a Sentence object, which is converted to an expression.
Args:
emb_dim: Size of the inputs
"""
yaml_tag = '!NoopEmbedder'
@serializable_init
... | code_fim | hard | {
"lang": "python",
"repo": "philip30/xnmt",
"path": "/xnmt/modelparts/embedders.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
A single Catchment
:param contractedcatchment_id:
:return: LDAPI views of a single Catchment
"""
try:
if USE_CONTRACTED_CATCHMENTS:
r = ContractedCatchmentRenderer(request, contractedcatchment_id, None)
else:
r = CatchmentRenderer(reques... | code_fim | hard | {
"lang": "python",
"repo": "CSIRO-enviro-informatics/geofabric-dataset",
"path": "/geofabric/controller/classes.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: CSIRO-enviro-informatics/geofabric-dataset path: /geofabric/controller/classes.py
# -*- coding: utf-8 -*-
"""
This file contains all the HTTP routes for classes from the Geofabric model, such as Catchment and the
Catchment Register
"""
from flask import Blueprint, request, abort
from flask_cors i... | code_fim | hard | {
"lang": "python",
"repo": "CSIRO-enviro-informatics/geofabric-dataset",
"path": "/geofabric/controller/classes.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|># Explanation:
# The script would output 18 in the command line. Below is the explanation.
# Since Python reads and executes scripts from top to bottom, variable a will be updated in every line until line 3 where a finally gets the value of 6 . Then the print function prints out 6 + 6 + 6 which is ... | code_fim | easy | {
"lang": "python",
"repo": "jailukanna/Python-Projects-Dojo",
"path": "/04.100 Python Exercises Evaluate and Improve Your Skills - AS/Exercise 01-25/exercise_01.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
@pytest.fixture(scope="module", autouse=True)
def cipher():
random_key = OPE.generate_key()
c = instantiate_ope_cipher(random_key)
return c
def test_ope_encrypt(benchmark, cipher):
benchmark.pedantic(cipher.encrypt, args=(randint(0, 100000),), iterations=100, rounds=100)
def test_ope_... | code_fim | medium | {
"lang": "python",
"repo": "ankurhcu/IoT-Cloud",
"path": "/benchmark/test_ope.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> benchmark.pedantic(cipher.encrypt, args=(randint(0, 100000),), iterations=100, rounds=100)
def test_ope_decrypt(benchmark, cipher):
benchmark.pedantic(cipher.decrypt, args=(cipher.encrypt(randint(0, 100000)),), iterations=100, rounds=100)<|fim_prefix|># repo: ankurhcu/IoT-Cloud path: /benchmark... | code_fim | medium | {
"lang": "python",
"repo": "ankurhcu/IoT-Cloud",
"path": "/benchmark/test_ope.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ankurhcu/IoT-Cloud path: /benchmark/test_ope.py
from random import randint
import pytest
from pyope.ope import OPE
from client.crypto_utils import instantiate_ope_cipher
@pytest.fixture(scope="module", autouse=True)
def cipher():
<|fim_suffix|>
def test_ope_encrypt(benchmark, cipher):
ben... | code_fim | medium | {
"lang": "python",
"repo": "ankurhcu/IoT-Cloud",
"path": "/benchmark/test_ope.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: todun/grafit path: /backend/grafit/migrations/0013_add_unique_to_searchindex.py
# Generated by Django 2.1.3 on 2018-11-22 14:17
<|fim_suffix|> dependencies = [
('grafit', '0012_create_search_index'),
]
operations = [
migrations.RunSQL(
"""
DROP... | code_fim | medium | {
"lang": "python",
"repo": "todun/grafit",
"path": "/backend/grafit/migrations/0013_add_unique_to_searchindex.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> CREATE UNIQUE INDEX grafit_search_unique
ON grafit_search_index (id);
"""
),
]<|fim_prefix|># repo: todun/grafit path: /backend/grafit/migrations/0013_add_unique_to_searchindex.py
# Generated by Django 2.1.3 on 2018-11-22 14:17
from django.db import migrat... | code_fim | hard | {
"lang": "python",
"repo": "todun/grafit",
"path": "/backend/grafit/migrations/0013_add_unique_to_searchindex.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: aldookware/IT-Support-Tracker path: /biz/api/views/issues.py
import logging
from django.shortcuts import Http404, get_object_or_404
from rest_framework import status
from rest_framework.generics import ListAPIView, CreateAPIView, RetrieveAPIView, UpdateAPIView, RetrieveUpdateAPIView, \
... | code_fim | hard | {
"lang": "python",
"repo": "aldookware/IT-Support-Tracker",
"path": "/biz/api/views/issues.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> issue = self.get_object()
serializer = self.get_serializer(issue)
return Response(serializer.data)
def update(self, request, *args, **kwargs):
serializer = self.get_serializer(data=request.data)
if serializer.is_valid():
serializer.save()
... | code_fim | hard | {
"lang": "python",
"repo": "aldookware/IT-Support-Tracker",
"path": "/biz/api/views/issues.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def update(self, request, *args, **kwargs):
serializer = self.get_serializer(data=request.data)
if serializer.is_valid():
serializer.save()
logger.debug(serializer.data)
return Response(serializer.data)
logger.debug(str(serializer.error... | code_fim | hard | {
"lang": "python",
"repo": "aldookware/IT-Support-Tracker",
"path": "/biz/api/views/issues.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Danielson23/mara-acl path: /mara_acl/views.py
"""ACL UI"""
import json
import flask
import mara_db.postgresql
import psycopg2.extensions
from mara_acl import config, keys, permissions, users
from mara_page import acl, navigation, response, bootstrap
blueprint = flask.Blueprint('mara_acl', __na... | code_fim | hard | {
"lang": "python",
"repo": "Danielson23/mara-acl",
"path": "/mara_acl/views.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # exclude static folders of blueprints
if any(flask.request.path.startswith(uri) for uri
in [blueprint.url_prefix + blueprint.static_url_path
for blueprint in flask.current_app.blueprints.values()
if blueprint.static_url_path and blueprint.url_prefix]):
... | code_fim | hard | {
"lang": "python",
"repo": "Danielson23/mara-acl",
"path": "/mara_acl/views.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: acgpiano/py-kms path: /py2-kms/dcerpc.py
#!/usr/bin/env python
# Copyright (c) 2003-2012 CORE Security Technologies
#
# This software is provided under under a slightly modified version
# of the Apache Software License. See the accompanying LICENSE file
# for more information.
#
# $Id: dcerpc.py... | code_fim | hard | {
"lang": "python",
"repo": "acgpiano/py-kms",
"path": "/py2-kms/dcerpc.py",
"mode": "psm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.__ctx_items.append(item)
def getData(self):
self['ctx_num'] = len(self.__ctx_items)
for i in self.__ctx_items:
self['ctx_items'] += i.getData()
return Structure.getData(self)
class MSRPCBindAck(Structure):
_SIZE = 26 # Up to SecondaryAddr
... | code_fim | hard | {
"lang": "python",
"repo": "acgpiano/py-kms",
"path": "/py2-kms/dcerpc.py",
"mode": "spm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_suffix|> if self['auth_data'] != '':
self['auth_len'] = len(self['auth_data'])
# The sec_trailer structure MUST be 4-byte aligned with respect to
# the beginning of the PDU. Padding octets MUST be used to align the
# sec_trailer structure if its natural beginning is no... | code_fim | hard | {
"lang": "python",
"repo": "acgpiano/py-kms",
"path": "/py2-kms/dcerpc.py",
"mode": "spm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_suffix|>ADMIN_USER = 'admin'
ADMIN_AGE = 30<|fim_prefix|># repo: jumper2014/http-api-test-framework-python-behave path: /libs/const.py
#!/usr/bin/env python
# coding=utf-8
# author: zengyuetian
# const definition
<|fim_middle|>api_server_host = '127.0.0.1'
api_server_port = 8080
GET = 'GET'
POST = 'POST'
PUT = ... | code_fim | medium | {
"lang": "python",
"repo": "jumper2014/http-api-test-framework-python-behave",
"path": "/libs/const.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jumper2014/http-api-test-framework-python-behave path: /libs/const.py
#!/usr/bin/env python
# coding=utf-8
# author: zengyuetian
# const definition
<|fim_suffix|>ADMIN_USER = 'admin'
ADMIN_AGE = 30<|fim_middle|>api_server_host = '127.0.0.1'
api_server_port = 8080
GET = 'GET'
POST = 'POST'
PUT = ... | code_fim | medium | {
"lang": "python",
"repo": "jumper2014/http-api-test-framework-python-behave",
"path": "/libs/const.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: strogo/pyobjc path: /pyobjc-framework-Accessibility/PyObjCTest/test_axcustomcontent.py
from PyObjCTools.TestSupport import TestCase
import Accessibility
import objc
class TestAXCustomContent(TestCase):
<|fim_suffix|> def test_protocols(self):
objc.protocolNamed("AXCustomContentProvi... | code_fim | medium | {
"lang": "python",
"repo": "strogo/pyobjc",
"path": "/pyobjc-framework-Accessibility/PyObjCTest/test_axcustomcontent.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class TestAXCustomContent(TestCase):
def test_constants(self):
self.assertEqual(Accessibility.AXCustomContentImportanceDefault, 0)
self.assertEqual(Accessibility.AXCustomContentImportanceHigh, 1)
def test_protocols(self):
objc.protocolNamed("AXCustomContentProvider")<|fim... | code_fim | easy | {
"lang": "python",
"repo": "strogo/pyobjc",
"path": "/pyobjc-framework-Accessibility/PyObjCTest/test_axcustomcontent.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> pubsubClient = pubsub.Client(
project="[projectName]"
)
topicName = "raw-adsb-data"
topicObj = pubsubClient.topic(topicName)
with topicObj.batch() as batchObj:
for eachItem in msgList:
eachItem = eachItem.encode("utf-8")
batchObj.publish(eachItem)
return
def loadList(fi... | code_fim | hard | {
"lang": "python",
"repo": "sunsetmountain/raspberry_ADS-B",
"path": "/batchPub.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sunsetmountain/raspberry_ADS-B path: /batchPub.py
import os
import time
from google.cloud import pubsub
from oauth2client.service_account import ServiceAccountCredentials
from tendo import singleton
me = singleton.SingleInstance() # will sys.exit(-1) if another instance of this script is already... | code_fim | hard | {
"lang": "python",
"repo": "sunsetmountain/raspberry_ADS-B",
"path": "/batchPub.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.concepts = []
""" concepts of the sentence. """
self.untokenized_form = ''
""" untokenized form of the sentence. """
self.length = 0
""" length of the untokenized sentence. """<|fim_prefix|># repo: WayneGame/NLP_Metric path: /SUPERT/summariser/ngram_... | code_fim | hard | {
"lang": "python",
"repo": "WayneGame/NLP_Metric",
"path": "/SUPERT/summariser/ngram_vector/base.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: WayneGame/NLP_Metric path: /SUPERT/summariser/ngram_vector/base.py
class Sentence:
"""The sentence data structure.
Args:
tokens (list of str): the list of word tokens.
doc_id (str): the identifier of the document from which the sentence
comes from.
posi... | code_fim | hard | {
"lang": "python",
"repo": "WayneGame/NLP_Metric",
"path": "/SUPERT/summariser/ngram_vector/base.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Run for up to 100 generations, allowing extinction.
winner = None
try:
winner = p.run(eval_genomes, 100)
except neat.CompleteExtinctionException as e:
pass
assert len(stats.get_fitness_median()), "Nothing returned from get_fitness_median()"
if winner:
if... | code_fim | hard | {
"lang": "python",
"repo": "CodeReclaimers/neat-python",
"path": "/tests/test_xor_example.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
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