text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_prefix|># repo: retorno/aquitania path: /aquitania/data_source/storage/abstract_storage_system.py
########################################################################################################################
# |||||||||||||||||||||||||||||||||||||||||||||||||| AQUITANIA |||||||||||||||||||||||||||||||... | code_fim | hard | {
"lang": "python",
"repo": "retorno/aquitania",
"path": "/aquitania/data_source/storage/abstract_storage_system.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Nik6198/song-recommender path: /user_class.py
import numpy as np
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.metrics.pairwise import pairwise_distances
from sklearn.metrics.pairwise import cosine_similarity
from sklearn import metrics
from scipy.spatial.d... | code_fim | hard | {
"lang": "python",
"repo": "Nik6198/song-recommender",
"path": "/user_class.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """if(len(user_test)!=0):
for j in range(len(user_test)):
# if self.prediction[songs_to_ix[user_test.iloc[j,12]]] !=self.mean_ratings[user_no]:
# print("ATTENTION ",user_test.iloc[j,8],self.prediction[songs_to_ix[user_test.iloc[j,12]]])
... | code_fim | hard | {
"lang": "python",
"repo": "Nik6198/song-recommender",
"path": "/user_class.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def receive(self, message):
data = self.format(message)
if not data:
return
title, slug, keyword, text = data
dbs.Article.add(title, slug, text, False, keyword)
return
def format(self, message):
if not hasattr(message, 'subject'):
... | code_fim | medium | {
"lang": "python",
"repo": "lepture/Vealous",
"path": "/vealous/service/mail.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>class Page(InboundMailHandler):
def receive(self, message):
data = self.format(message)
if not data:
return
title, slug, text = data
dbs.Page.add(title, slug, text)
return
def format(self, message):
if not hasattr(message, 'subject'):
... | code_fim | hard | {
"lang": "python",
"repo": "lepture/Vealous",
"path": "/vealous/service/mail.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lepture/Vealous path: /vealous/service/mail.py
#-*- coding: utf-8 -*-
import logging
import urllib2
from google.appengine.ext import webapp
from google.appengine.ext.webapp.util import run_wsgi_app as run
from google.appengine.ext.webapp.mail_handlers import InboundMailHandler
<|fim_suffix|>cla... | code_fim | hard | {
"lang": "python",
"repo": "lepture/Vealous",
"path": "/vealous/service/mail.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.assertEqual(3,3)
if __name__ == '__main__':
unittest.main()<|fim_prefix|># repo: jucoba/IpCamMonitorSystem path: /poc/test.py
import random
import unittest
class MyTest(unittest.TestCase):
<|fim_middle|>
def test_shuffle(self):
self.assertEqual(1,2)
def test_ok(self):
| code_fim | medium | {
"lang": "python",
"repo": "jucoba/IpCamMonitorSystem",
"path": "/poc/test.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jucoba/IpCamMonitorSystem path: /poc/test.py
import random
import unittest
class MyTest(unittest.TestCase):
def test_shuffle(self):
<|fim_suffix|> def test_ok(self):
self.assertEqual(3,3)
if __name__ == '__main__':
unittest.main()<|fim_middle|> self.assertEqual(1,2)
| code_fim | easy | {
"lang": "python",
"repo": "jucoba/IpCamMonitorSystem",
"path": "/poc/test.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def test_shuffle(self):
self.assertEqual(1,2)
def test_ok(self):
self.assertEqual(3,3)
if __name__ == '__main__':
unittest.main()<|fim_prefix|># repo: jucoba/IpCamMonitorSystem path: /poc/test.py
import random
import unittest
<|fim_middle|>class MyTest(unittest.TestCase):
| code_fim | easy | {
"lang": "python",
"repo": "jucoba/IpCamMonitorSystem",
"path": "/poc/test.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: FlantasticDan/awscraft path: /AWS Instance/first_run_setup.py
import subprocess
import data_manager as data
# Download Latest Server .jar
data.update_server()
# Run First Time
subprocess.run('java -jar server.jar nogui', shell=True)
# Accept Mojang EULA
with open('eula.txt', 'r') as eula:
... | code_fim | easy | {
"lang": "python",
"repo": "FlantasticDan/awscraft",
"path": "/AWS Instance/first_run_setup.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>text[2] = 'eula=true\n'
with open('eula.txt', 'w') as eula:
eula.writelines(text)<|fim_prefix|># repo: FlantasticDan/awscraft path: /AWS Instance/first_run_setup.py
import subprocess
import data_manager as data
# Download Latest Server .jar
data.update_server()
<|fim_middle|># Run First Time
subpr... | code_fim | medium | {
"lang": "python",
"repo": "FlantasticDan/awscraft",
"path": "/AWS Instance/first_run_setup.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: powderluv/Ultra96-PYNQ path: /Ultra96/specs/Ultra96_v2.spec
ARCH_Ultra96 := aarch64
BSP_Ultra96 := sensors96b_v2.<|fim_suffix|>th0 sensorconf
STAGE4_PACKAGES_Ultra96 += wilc3000 xrt<|fim_middle|>bsp
BITSTREAM_Ultra96 := sensors96b/sensors96b.bit
STAGE4_PACKAGES_Ultra96 := pynq mraa upm usbgadget... | code_fim | medium | {
"lang": "python",
"repo": "powderluv/Ultra96-PYNQ",
"path": "/Ultra96/specs/Ultra96_v2.spec",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>th0 sensorconf
STAGE4_PACKAGES_Ultra96 += wilc3000 xrt<|fim_prefix|># repo: powderluv/Ultra96-PYNQ path: /Ultra96/specs/Ultra96_v2.spec
ARCH_Ultra96 := aarch64
BSP_Ultra96 := sensors96b_v2.bsp
BITSTREAM_Ultra96 := sensors96b/sensors96b.bit
ST<|fim_middle|>AGE4_PACKAGES_Ultra96 := pynq mraa upm usbgadget... | code_fim | easy | {
"lang": "python",
"repo": "powderluv/Ultra96-PYNQ",
"path": "/Ultra96/specs/Ultra96_v2.spec",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> if show_graph == True:
plt.plot(dab_signal_bins)
plt.grid()
plt.title("dab block shape")
plt.xlabel("sample bin")
plt.ylabel("amplitude")
plt.show()
limit_db = 2.0
dab_block_detected = cali.dabplus.dab.block_check(
dab_signal_bins, dab_s... | code_fim | hard | {
"lang": "python",
"repo": "jyrj/CalibrateSDR",
"path": "/calibratesdr/utils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> sdr.read_bytes_async(callback, BLOCK_SIZE)
f.close()
def scan_one_dab_channel(dabchannels, channel, sdr, rs, ns, rg, filename, samplerate, show_graph, verbose):
cf = dabchannels["dab"][channel]["f_center"]
block = dabchannels["dab"][channel]["block"]
record_with_rtlsdr(sdr, rs, cf,... | code_fim | hard | {
"lang": "python",
"repo": "jyrj/CalibrateSDR",
"path": "/calibratesdr/utils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jyrj/CalibrateSDR path: /calibratesdr/utils.py
import numpy as np
from scipy.fftpack import fft, fftshift, ifft
import matplotlib.pyplot as plt
import calibratesdr as cali
from rtlsdr.helpers import limit_calls
def movingaverage(values, window):
weights = np.repeat(1.0, window)/window
s... | code_fim | hard | {
"lang": "python",
"repo": "jyrj/CalibrateSDR",
"path": "/calibratesdr/utils.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mcps-analysts/mcps-genetic-cohort-profile path: /04_rfmix/including_mais_samples/three_way/02.1_prepare-ref-vcfs-jobs.py
#!/usr/bin/python -O
# Jason Matthew Torres
'''
Usage:
module load Python/3.7.4-GCCcore-8.3.0
python 02.1_prepare-ref-vcfs-jobs.py
'''
# libraries
import sys,os
import subproce... | code_fim | medium | {
"lang": "python",
"repo": "mcps-analysts/mcps-genetic-cohort-profile",
"path": "/04_rfmix/including_mais_samples/three_way/02.1_prepare-ref-vcfs-jobs.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>##make a vcf file of just the reference individuals
%s --vcf %s \
--keep %s \
--recode --out %s
bgzip %s
''' % (job_name,log_dir + job_name,log_dir + job_name,str(shmem),
vcftools,vcf_dir + vcf_pre + str(chromo) + vcf_post,ref_file,in_dir + "ref.cohort.chr" + str(chromo),
in_dir + "ref.c... | code_fim | hard | {
"lang": "python",
"repo": "mcps-analysts/mcps-genetic-cohort-profile",
"path": "/04_rfmix/including_mais_samples/three_way/02.1_prepare-ref-vcfs-jobs.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>m)
else:
print("it is not an armstrong number:",num)<|fim_prefix|># repo: bgoonz/UsefulResourceRepo2.0 path: /MY_REPOS/my-gists/_CURRENT/36edf2915f/Armstrong number.py
num=int(input("enter 1-digit number:"))
f=num
sum=0
while (f>0):
a=f%10
f=int(f/10)
sum=sum+(a**3)
<|fim_middle|>if(sum==... | code_fim | easy | {
"lang": "python",
"repo": "bgoonz/UsefulResourceRepo2.0",
"path": "/MY_REPOS/my-gists/_CURRENT/36edf2915f/Armstrong number.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bgoonz/UsefulResourceRepo2.0 path: /MY_REPOS/my-gists/_CURRENT/36edf2915f/Armstrong number.py
num=int(input("enter 1-digit number:"))
f=num
sum=0
whi<|fim_suffix|>if(sum==num):
print("it is an armstrong number:",num)
else:
print("it is not an armstrong number:",num)<|fim_middle|>le (f>0):... | code_fim | easy | {
"lang": "python",
"repo": "bgoonz/UsefulResourceRepo2.0",
"path": "/MY_REPOS/my-gists/_CURRENT/36edf2915f/Armstrong number.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: microsoftgraph/msgraph-sdk-python path: /msgraph/generated/models/localized_notification_message.py
from __future__ import annotations
import datetime
from dataclasses import dataclass, field
from kiota_abstractions.serialization import Parsable, ParseNode, SerializationWriter
from typing import ... | code_fim | medium | {
"lang": "python",
"repo": "microsoftgraph/msgraph-sdk-python",
"path": "/msgraph/generated/models/localized_notification_message.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
The deserialization information for the current model
Returns: Dict[str, Callable[[ParseNode], None]]
"""
from .entity import Entity
from .entity import Entity
fields: Dict[str, Callable[[Any], None]] = {
"isDefault": lambda n : set... | code_fim | hard | {
"lang": "python",
"repo": "microsoftgraph/msgraph-sdk-python",
"path": "/msgraph/generated/models/localized_notification_message.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MalikQasimAli/cvd_pupillometry path: /pyplr/silentsub.py
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
'''
pyplr.silentsub
===============
Module to assist with performing silent substitution for STLAB.
@author: jtm, ms
Here are the cases that we want to have in the silent substitution module... | code_fim | hard | {
"lang": "python",
"repo": "MalikQasimAli/cvd_pupillometry",
"path": "/pyplr/silentsub.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def _illuminance_constraint_function(self, requested_illuminance, weights):
vl = get_CIE_1924_photopic_vl(asdf=True, binwidth=self.binwidth)
settings = self.weights_to_settings(weights)
spd = self.redict_spd(settings)
illuminance = spd.dot
return requested_illum... | code_fim | hard | {
"lang": "python",
"repo": "MalikQasimAli/cvd_pupillometry",
"path": "/pyplr/silentsub.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: TheBeachLab/kokopelli path: /koko/c/asdf.py
import ctypes
from koko.c.interval import Interval
<|fim_suffix|> """ @class ASDF
@brief C data structure describing an ASDF.
"""
pass
ASDF._fields_ = [('state', ctypes.c_int),
('X', Interval), ('Y', Interval), ('Z'... | code_fim | easy | {
"lang": "python",
"repo": "TheBeachLab/kokopelli",
"path": "/koko/c/asdf.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """ @class ASDF
@brief C data structure describing an ASDF.
"""
pass
ASDF._fields_ = [('state', ctypes.c_int),
('X', Interval), ('Y', Interval), ('Z', Interval),
('branches', ctypes.POINTER(ASDF)*8),
('d', ctypes.c_float*8),
... | code_fim | easy | {
"lang": "python",
"repo": "TheBeachLab/kokopelli",
"path": "/koko/c/asdf.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
panel for testing the BRemsher addon
"""
bl_idname = TestPanelID
bl_category = "Test Panel"
bl_label = "Test Panel"
bl_space_type = "VIEW_3D"
bl_region_type = "UI"
def draw(self, context):
layout = self.layout
row = layout.row()
row.operato... | code_fim | medium | {
"lang": "python",
"repo": "moshe-kabala/BRemesher",
"path": "/ui/test_panel.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: moshe-kabala/BRemesher path: /ui/test_panel.py
import bpy
from .. ops.test_setup_map import TestVertexMapID
from .. ops.test_map_on_active import TestMapActiveID
<|fim_suffix|>
class TestPanel(bpy.types.Panel):
"""
panel for testing the BRemsher addon
"""
bl_idname = TestPanelID... | code_fim | medium | {
"lang": "python",
"repo": "moshe-kabala/BRemesher",
"path": "/ui/test_panel.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class TestPanel(bpy.types.Panel):
"""
panel for testing the BRemsher addon
"""
bl_idname = TestPanelID
bl_category = "Test Panel"
bl_label = "Test Panel"
bl_space_type = "VIEW_3D"
bl_region_type = "UI"
def draw(self, context):
layout = self.layout
row... | code_fim | medium | {
"lang": "python",
"repo": "moshe-kabala/BRemesher",
"path": "/ui/test_panel.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: robertavichm/CMPUT-404-PROJECT-WORK-W21 path: /back-end/SocialDistribution/Author/formatters.py
from django.shortcuts import render
from django.shortcuts import get_object_or_404
from django.http import HttpResponseBadRequest,HttpResponse
from django.http import JsonResponse
from rest_framework.d... | code_fim | hard | {
"lang": "python",
"repo": "robertavichm/CMPUT-404-PROJECT-WORK-W21",
"path": "/back-end/SocialDistribution/Author/formatters.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def comment_formatter(comment):
ser = {}
comment_ser = CommentSerializer(comment, many=False)
ser.update(comment_ser.data)
#ser.update(ser_tem.data)
ser["id"] = HOST_URL+"author/"+str(comment.post_id.author_id.id)+"/posts/"+str(comment.post_id.post_id)+"/comments/"+str(comme... | code_fim | hard | {
"lang": "python",
"repo": "robertavichm/CMPUT-404-PROJECT-WORK-W21",
"path": "/back-end/SocialDistribution/Author/formatters.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # ser["author"] = AuthorSerializer(liker).data
# if(like.comment_id !=None and like.post_id !=None):
# ser["summary"] = liker["displayName"]+ " likes a comment"
# ser["object"] = "http://localhost:8000/author/"+str(like.author_id.id)+"/posts/"+str(like.post_id.post... | code_fim | hard | {
"lang": "python",
"repo": "robertavichm/CMPUT-404-PROJECT-WORK-W21",
"path": "/back-end/SocialDistribution/Author/formatters.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> if args.debug:
_ncs.set_debug(ncs.TRACE, sys.stdout)
with ncs.maapi.Maapi() as m:
with ncs.maapi.Session(m, 'admin', 'admin'):
with m.start_read_trans() as t:
root = ncs.maagic.get_root(t)
root.devices.sync_from()
version... | code_fim | medium | {
"lang": "python",
"repo": "NSO-developer/apply-config-template",
"path": "/test/invoke-action.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: NSO-developer/apply-config-template path: /test/invoke-action.py
import ncs
import _ncs
import sys
import argparse
debug = False
def test1(t):
root = ncs.maagic.get_root(t)
at = root.template.apply_config_template
args = at.get_input()
args.name = 'frobnicator-foo'
# Why is... | code_fim | medium | {
"lang": "python",
"repo": "NSO-developer/apply-config-template",
"path": "/test/invoke-action.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: databand-ai/dbnd path: /plugins/dbnd-redshift/src/dbnd_redshift/sdk/redshift_connection_extractor.py
# © Copyright Databand.ai, an IBM Company 2022
import re
import attr
from psycopg2.extensions import connection
DEFAULT_REDSHIFT_SCHEMA = "public"
<|fim_suffix|>def get_target_table_and_sch... | code_fim | hard | {
"lang": "python",
"repo": "databand-ai/dbnd",
"path": "/plugins/dbnd-redshift/src/dbnd_redshift/sdk/redshift_connection_extractor.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> table_and_schema_regex = r"""COPY ["']?((?P<schema>\w+)\.)?(?P<table>\w+)["']?"""
match = re.search(table_and_schema_regex, query, flags=re.IGNORECASE)
table = match.group("table")
schema = match.group("schema")
return table, schema
def get_connection_parameter(con: connection, param... | code_fim | hard | {
"lang": "python",
"repo": "databand-ai/dbnd",
"path": "/plugins/dbnd-redshift/src/dbnd_redshift/sdk/redshift_connection_extractor.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def get_target_table_and_schema(con: connection, query):
table, schema = _extract_table_and_schema_from_query(query)
# Schema can also be extracted from search_path provided as a connection option or
# using `SHOW search_path` query. It can contain more than one schema,
# hence requires m... | code_fim | hard | {
"lang": "python",
"repo": "databand-ai/dbnd",
"path": "/plugins/dbnd-redshift/src/dbnd_redshift/sdk/redshift_connection_extractor.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Bingwen-Hu/hackaway path: /books/masteringPython/cp06/coroutines.py
# coroutines
# The difference between regular generators and coroutines is that coroutines don't
# simply return values to the calling function but can receive values as well.
# a basic example
def generator():
value = yield... | code_fim | hard | {
"lang": "python",
"repo": "Bingwen-Hu/hackaway",
"path": "/books/masteringPython/cp06/coroutines.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>
# bidirectional pipelines
@coroutine
def replace(search, replace):
while True:
item = yield
print(item.replace(search, replace))
spam_replace = replace('spam', 'bacon')
for line in open('lines.txt'):
spam_replace.send(line.rstrip())
# Grep sends all matching items to the target
... | code_fim | hard | {
"lang": "python",
"repo": "Bingwen-Hu/hackaway",
"path": "/books/masteringPython/cp06/coroutines.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: JayjeetAtGithub/spack path: /var/spack/repos/builtin/packages/genemark-et/package.py
# Copyright 2013-2022 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
import glob
im... | code_fim | hard | {
"lang": "python",
"repo": "JayjeetAtGithub/spack",
"path": "/var/spack/repos/builtin/packages/genemark-et/package.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> mkdirp(prefix.bin)
mkdirp(prefix.bin.heu_dir)
if self.version <= Version("4.38"):
source_dir = "gmes_petap"
else:
source_dir = self.stage.source_path
with working_dir(source_dir):
install_tree("lib", prefix.lib)
files ... | code_fim | hard | {
"lang": "python",
"repo": "JayjeetAtGithub/spack",
"path": "/var/spack/repos/builtin/packages/genemark-et/package.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> __tablename__ = 'nodes'
id = Column(Integer, primary_key=True, autoincrement=True)
node_id = Column(String(3))
node_name = Column(String(50))
identifier = Column(String(150))
create_time = Column(TIMESTAMP, server_default=text('(now())'))
def to_dict(self):
user_info =... | code_fim | medium | {
"lang": "python",
"repo": "ardihikaru/api-dashboard-5g-dive",
"path": "/app/models/node/node_model.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ardihikaru/api-dashboard-5g-dive path: /app/models/node/node_model.py
from app import Base
from sqlalchemy import text, Column, Integer, String, TIMESTAMP
class NodeModel(Base):
<|fim_suffix|> user_info = {
'id': self.id,
'node_id': self.node_id,
'node... | code_fim | hard | {
"lang": "python",
"repo": "ardihikaru/api-dashboard-5g-dive",
"path": "/app/models/node/node_model.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def get_order(self, order):
""" Retrieves order info
Args:
order: string containing the orderId for your order; e.g. 37f550a202aa6a3fe120f420637c894c
"""
method = self.private_endpoints['get_order']['method']
url = self.base_url + ... | code_fim | hard | {
"lang": "python",
"repo": "thomasbeukema/cobinhood_api",
"path": "/cobinhood_api/cobinhood.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> payload = {
"trading_pair_id": str(pair),
"side": str(side),
"type": str(ttype),
"size": str(size)
}
if not price == 0:
payload['price'] = str(price)
method = self.private_endpoints['place_order']['meth... | code_fim | hard | {
"lang": "python",
"repo": "thomasbeukema/cobinhood_api",
"path": "/cobinhood_api/cobinhood.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: thomasbeukema/cobinhood_api path: /cobinhood_api/cobinhood.py
ancel_order": {
"url": "/v1/trading/orders/{orderId}",
"method": "DELETE"
},
"order_history": {
"url": "/v1/trading/order_history",
"method": "GET"
},
... | code_fim | hard | {
"lang": "python",
"repo": "thomasbeukema/cobinhood_api",
"path": "/cobinhood_api/cobinhood.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Anurag810/frappe path: /frappe/templates/includes/feedback/feedback.py
# Copyright (c) 2015, Frappe Technologies Pvt. Ltd. and Contributors
# License: MIT. See LICENSE
from __future__ import unicode_literals
import frappe
from frappe.utils import add_to_date, now
from frappe import _
@frappe.w... | code_fim | hard | {
"lang": "python",
"repo": "Anurag810/frappe",
"path": "/frappe/templates/includes/feedback/feedback.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def send_mail(feedback, subject):
doc = frappe.get_doc(feedback.reference_doctype, feedback.reference_name)
message = ("<p>{0} ({1})</p>".format(feedback.feedback, feedback.rating)
+ "<p><a href='{0}/app/feedback/{1}' style='font-size: 80%'>{2}</a></p>".format(frappe.utils.get_request_site_address(),... | code_fim | hard | {
"lang": "python",
"repo": "Anurag810/frappe",
"path": "/frappe/templates/includes/feedback/feedback.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>@frappe.whitelist()
def update_feedback(reference_doctype, reference_name, rating, feedback):
doc = frappe.get_doc(reference_doctype, reference_name)
if doc.disable_feedback == 1:
return
filters = {
"owner": frappe.session.user,
"reference_doctype": reference_doctype,
"reference_name": referen... | code_fim | hard | {
"lang": "python",
"repo": "Anurag810/frappe",
"path": "/frappe/templates/includes/feedback/feedback.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> feature_vector = context["feature_transformer"].transform_observation_to_feature_vector(data)
prediction = context["model"].predict_one(feature_vector)
return {"success": True, "prediction": prediction}
def predict(msg: dict, context: dict) -> dict:
# we can use initialized model from co... | code_fim | hard | {
"lang": "python",
"repo": "mlquants/interoper_demo",
"path": "/lib/python/predict.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mlquants/interoper_demo path: /lib/python/predict.py
import os, sys
from struct import unpack, pack
import msgpack
from feature_transformation import FeatureTransformerInference
from prediction_client import RandomForestClient, RandomClient
UUID4_SIZE = 16
# setup of FD 3 for input (instead ... | code_fim | hard | {
"lang": "python",
"repo": "mlquants/interoper_demo",
"path": "/lib/python/predict.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
# [START_NAVIGATION] [20 9C 59 08 00 00 00 00 00 00 ]
else:
sm.setSpeakerID(1202004)
sm.sendNext("What? You don't want the potion?")<|fim_prefix|># repo: Bratah123/v203.4 path: /scripts/quest/q21012e.py
# Created by MechAviv
# Quest ID :: 21012
# Abilities Lost
sm.setSpeakerID(1202004)
if s... | code_fim | medium | {
"lang": "python",
"repo": "Bratah123/v203.4",
"path": "/scripts/quest/q21012e.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Bratah123/v203.4 path: /scripts/quest/q21012e.py
# Created by MechAviv
# Quest ID :: 21012
# Abilities Lost
sm.setSpeakerID(1202004)
if sm.sendAskYesNo("Hm... Your expression tells me that the exercise didn't jog any memories. But don't you worry. They'll come back, eventually. Here, drink this ... | code_fim | medium | {
"lang": "python",
"repo": "Bratah123/v203.4",
"path": "/scripts/quest/q21012e.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: LikeLionSCH/9th_ASSIGNMENT path: /18_정은서/session08/catproject/cat/views.py
from django.shortcuts import render, get_object_or_404, redirect
from .models import *
from django.utils import timezone
# Create your views here.
def home(request):
cats = Cat.objects.all()
return render (request,... | code_fim | hard | {
"lang": "python",
"repo": "LikeLionSCH/9th_ASSIGNMENT",
"path": "/18_정은서/session08/catproject/cat/views.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def update(request, id):
update_cat = Cat.objects.get(id=id)
update_cat.title = request.POST['title']
update_cat.author = request.POST['author']
update_cat.body = request.POST['body']
update_cat.save()
return redirect('detail', update_cat.id)
def delete(request, id):
delete_ca... | code_fim | hard | {
"lang": "python",
"repo": "LikeLionSCH/9th_ASSIGNMENT",
"path": "/18_정은서/session08/catproject/cat/views.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def create(request):
new_cat = Cat()
new_cat.title = request.POST['title']
new_cat.author = request.POST['author']
new_cat.image = request.FILES['image']
new_cat.body = request.POST['body']
new_cat.pub_date = timezone.now()
new_cat.save()
return redirect('home')
def edit(r... | code_fim | hard | {
"lang": "python",
"repo": "LikeLionSCH/9th_ASSIGNMENT",
"path": "/18_정은서/session08/catproject/cat/views.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> ignore_value=0, is_sequence_rst=False,
resize2fixedsize=False, ext_func=None,
func_container=_process_funcs):
"""
为图片处理函数编写的装饰器，抽象了数值循环过程，
通过收集所有处理函数，并统一处理函数的签名来简化调用
:param process_func: 图像处理函数
:param value_range: 传递给处理函数的阈值范围
... | code_fim | hard | {
"lang": "python",
"repo": "hamlet0x62/Bank-Card-OCR",
"path": "/prepare/enlarge_dataset_utils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> @wraps(process_func)
def wrapper(image, *args, use_ext_func=True, **kws):
"""
:param image:
:param args:
:param use_ext_func: 是否使用该处理函数的扩展函数， 用于各增强函数之间的互相调用
:param kws:
:return:
"""
p... | code_fim | hard | {
"lang": "python",
"repo": "hamlet0x62/Bank-Card-OCR",
"path": "/prepare/enlarge_dataset_utils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hamlet0x62/Bank-Card-OCR path: /prepare/enlarge_dataset_utils.py
# coding: utf-8
import numpy as np
from skimage.util import random_noise
from skimage import transform, color
import math
from functools import wraps
from settings import CARDNO_IMG_WIDTH, CARDNO_IMG_HEIGHT
from itertools i... | code_fim | hard | {
"lang": "python",
"repo": "hamlet0x62/Bank-Card-OCR",
"path": "/prepare/enlarge_dataset_utils.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> path = Path(path)
return path.mkdir(parents=True, exist_ok=True)
@export(name='rmdir')
def call_rmdir(path, force=False, verbose=False):
return shutil.rmtree(path, True, None)
@export(name='ls')
def call_ls(path, verbose=False):
path = Path(path)
result = list(path.iterdir())
p... | code_fim | medium | {
"lang": "python",
"repo": "davidegazze/pyyawl",
"path": "/pyyawl/operators/bashops.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> return shutil.rmtree(path, True, None)
@export(name='ls')
def call_ls(path, verbose=False):
path = Path(path)
result = list(path.iterdir())
print(result)
return result<|fim_prefix|># repo: davidegazze/pyyawl path: /pyyawl/operators/bashops.py
__all__ = ['call_echo', 'call_mkdir', 'c... | code_fim | hard | {
"lang": "python",
"repo": "davidegazze/pyyawl",
"path": "/pyyawl/operators/bashops.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: davidegazze/pyyawl path: /pyyawl/operators/bashops.py
__all__ = ['call_echo', 'call_mkdir', 'call_rmdir', 'call_ls']
from pathlib import Path
import shutil
from ..namedregistry import export
from .baseops import subprocess_run
@export(name='echo')
def call_echo(value, verbose=False):
<|fim_suf... | code_fim | medium | {
"lang": "python",
"repo": "davidegazze/pyyawl",
"path": "/pyyawl/operators/bashops.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jieguangzhou/AIChallenger_SentimentAnalysis path: /hah_classification/models/nn_factory.py
import tensorflow as tf
from tensorflow.contrib import rnn
def init_embedding(vocab_size, embedding_size, embedding_path=None, name='embedding'):
embedding = tf.get_variable(name, [vocab_size, embeddi... | code_fim | medium | {
"lang": "python",
"repo": "jieguangzhou/AIChallenger_SentimentAnalysis",
"path": "/hah_classification/models/nn_factory.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def muti_class_attention(inputs, class_num, concat_inputs=None):
attention = tf.nn.softmax(tf.layers.conv1d(inputs, class_num, 1, padding='same', activation=tf.nn.relu), axis=2)
inputs_reshape = tf.transpose(inputs, [0, 2, 1])
attention_out = tf.matmul(inputs_reshape, attention)
outputs = ... | code_fim | hard | {
"lang": "python",
"repo": "jieguangzhou/AIChallenger_SentimentAnalysis",
"path": "/hah_classification/models/nn_factory.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> parms = {
"source_columns": ["duration"],
"destination_columns": ["new_duration"],
"map_list": [[0.5083, 0.6],
[0.5084, 0.7]],
"ignore_missing": True
}
op = RemapColumnsOp(parms)
df, df_test = ... | code_fim | hard | {
"lang": "python",
"repo": "hed-standard/hed-python",
"path": "/tests/tools/remodeling/operations/test_remap_columns_op.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> parms2 = json.loads(self.json_parms)
parms2["destination_columns"] = []
with self.assertRaises(ValueError) as context2:
RemapColumnsOp(parms2)
self.assertEqual(context2.exception.args[0], "EmptyDestinationColumns")
parms3 = json.loads(self.json_pa... | code_fim | hard | {
"lang": "python",
"repo": "hed-standard/hed-python",
"path": "/tests/tools/remodeling/operations/test_remap_columns_op.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hed-standard/hed-python path: /tests/tools/remodeling/operations/test_remap_columns_op.py
import json
import pandas as pd
import unittest
from hed.tools.remodeling.dispatcher import Dispatcher
from hed.tools.remodeling.operations.remap_columns_op import RemapColumnsOp
class Test(unittest... | code_fim | hard | {
"lang": "python",
"repo": "hed-standard/hed-python",
"path": "/tests/tools/remodeling/operations/test_remap_columns_op.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mengqhui/mypython path: /taobaoitem.py
import time,leveldb
from urllib.parse import quote_plus
import re,json,sys
import itertools,requests
from queue import Queue
from threading import Thread
URL_BASE = 'http://s.m.taobao.com/search?q={}&n=200&m=api4h5&style=list&page={}'
def url_get(... | code_fim | hard | {
"lang": "python",
"repo": "mengqhui/mypython",
"path": "/taobaoitem.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> while True:
try:
for key, value in db_cate.RangeIter():
if value != b'OK':
print('CateThread: put {} into queue'.format(key.decode('utf-8')))
cate_queue.put(key.decode('utf-8'))
time.sleep(10)
except KeyboardInterrupt:
break
except Exception as e:
print('CateThre... | code_fim | hard | {
"lang": "python",
"repo": "mengqhui/mypython",
"path": "/taobaoitem.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: xflows/tf_core path: /tf_core/bow_model_contructor.py
from sklearn.feature_extraction.text import CountVectorizer, TfidfVectorizer, TfidfTransformer
from .nltoolkit.helpers import TokenSplitter
from tf_core.nltoolkit.helpers import TokenSplitter
class BowModelConstructor:
def __init__(self... | code_fim | hard | {
"lang": "python",
"repo": "xflows/tf_core",
"path": "/tf_core/bow_model_contructor.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def get_annotation_texts(self,documents):
return [document.get_annotation_texts(selector=self._feature_name,
stop_word_feature_name=self._stop_word_feature_name)
for document in documents]
def get_document_labels(self,adc,binary=False):
... | code_fim | hard | {
"lang": "python",
"repo": "xflows/tf_core",
"path": "/tf_core/bow_model_contructor.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class AwaitableGetRolesResult(GetRolesResult):
# pylint: disable=using-constant-test
def __await__(self):
if False:
yield self
return GetRolesResult(
filter=self.filter,
id=self.id,
roles=self.roles)
def get_roles(filter: Optional[... | code_fim | hard | {
"lang": "python",
"repo": "pulumi/pulumi-datadog",
"path": "/sdk/python/pulumi_datadog/get_roles.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
Filter all roles by the given string.
"""
return pulumi.get(self, "filter")
@property
@pulumi.getter
def id(self) -> str:
"""
The provider-assigned unique ID for this managed resource.
"""
return pulumi.get(self, "id")
@... | code_fim | hard | {
"lang": "python",
"repo": "pulumi/pulumi-datadog",
"path": "/sdk/python/pulumi_datadog/get_roles.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pulumi/pulumi-datadog path: /sdk/python/pulumi_datadog/get_roles.py
# coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import copy
import warnings
import pulumi
im... | code_fim | hard | {
"lang": "python",
"repo": "pulumi/pulumi-datadog",
"path": "/sdk/python/pulumi_datadog/get_roles.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: youdar/usesul_functions path: /source/miscellaneous/get_sub_dir_dates.py
#!/usr/bin/env python
from __future__ import division
import sys
import os
import re
__author__ = 'youval.dar'
def get_sub_dir_dates(main_folder):
"""
Get a list of dates in the format YYYY-MM-DD, for subdirector... | code_fim | hard | {
"lang": "python",
"repo": "youdar/usesul_functions",
"path": "/source/miscellaneous/get_sub_dir_dates.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> Returns:
dates (set): {'YYYY-MM-DD',...}
"""
# remove leading "hdfs://nameservice1"
if main_folder.startswith('hdfs://nameservice1'):
main_folder = main_folder[19:]
ls_com = 'hdfs dfs -ls ' + main_folder
dates =set()
# Filter collect folders to delete
d = '... | code_fim | hard | {
"lang": "python",
"repo": "youdar/usesul_functions",
"path": "/source/miscellaneous/get_sub_dir_dates.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>if __name__ == '__main__':
args = sys.argv[1:]
if len(args) == 1:
get_folder_ls(args[0])<|fim_prefix|># repo: youdar/usesul_functions path: /source/miscellaneous/get_sub_dir_dates.py
#!/usr/bin/env python
from __future__ import division
import sys
import os
import re
__author__ = 'youval... | code_fim | hard | {
"lang": "python",
"repo": "youdar/usesul_functions",
"path": "/source/miscellaneous/get_sub_dir_dates.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dantesdoesthings/danteswebsite path: /dantes_site/dantes_site/asgi.py
"""
ASGI config for dantes_site project.
"""
<|fim_suffix|>if settings.DEBUG:
application = ASGIStaticFilesHandler(get_asgi_application())
else:
application = get_asgi_application()<|fim_middle|>import os
from django.... | code_fim | hard | {
"lang": "python",
"repo": "dantesdoesthings/danteswebsite",
"path": "/dantes_site/dantes_site/asgi.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>if settings.DEBUG:
application = ASGIStaticFilesHandler(get_asgi_application())
else:
application = get_asgi_application()<|fim_prefix|># repo: dantesdoesthings/danteswebsite path: /dantes_site/dantes_site/asgi.py
"""
ASGI config for dantes_site project.
"""
import os
from django.conf import se... | code_fim | medium | {
"lang": "python",
"repo": "dantesdoesthings/danteswebsite",
"path": "/dantes_site/dantes_site/asgi.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: taskforcesh/bullmq path: /python/bullmq/backoffs.py
from bullmq.types import BackoffOptions
import math
class Backoffs:
builtin_strategies = {
"fixed": lambda delay: lambda attempts_made, type, err, job: delay,
"exponential": lambda delay: lambda attempts_made, type, err, ... | code_fim | hard | {
"lang": "python",
"repo": "taskforcesh/bullmq",
"path": "/python/bullmq/backoffs.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> backoff_type = backoff.get("type")
if backoff_type in Backoffs.builtin_strategies:
Backoffs.builtin_strategies[backoff.type](backoff.delay)
elif custom_strategy:
return custom_strategy
else:
raise Exception(f"Unknown backoff strategy {backoff_type}.If a custom backo... | code_fim | hard | {
"lang": "python",
"repo": "taskforcesh/bullmq",
"path": "/python/bullmq/backoffs.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> @staticmethod
async def calculate(backoff: BackoffOptions, attempts_made: int, err, job, customStrategy):
if backoff:
strategy = lookup_strategy(backoff, customStrategy)
return strategy(attempts_made, backoff.get("type"), err, job)
def lookup_strategy(backoff: Ba... | code_fim | hard | {
"lang": "python",
"repo": "taskforcesh/bullmq",
"path": "/python/bullmq/backoffs.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> with open(image, 'wb') as f:
shutil.copyfileobj(r.raw, f)
else:
print "Invalid distrobution: " + args.distro
print "This script should have errored earlier. This is a bug."
exit(1)
# Do shit here with qemu
# should only need kickstart and image at this point<|fim_prefi... | code_fim | hard | {
"lang": "python",
"repo": "paholg/openpowercloudimaging",
"path": "/cloudprep/cloudprep.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>(image):
os.makedirs("images")
url = "http://ports.ubuntu.com/ubuntu-ports/dists/trusty-updates/main/installer-ppc64el/current/images/netboot/mini.iso"
print "Image not found. Downloading."
r = requests.get(url, stream=True)
if r.status_code == 200:
with... | code_fim | hard | {
"lang": "python",
"repo": "paholg/openpowercloudimaging",
"path": "/cloudprep/cloudprep.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: paholg/openpowercloudimaging path: /cloudprep/cloudprep.py
#!/usr/bin/python2
import os, subprocess, argparse, requests, shutil
import kickstarts
distrobutions = ["Ubuntu"]
parser = argparse.ArgumentParser(description="Setup cloud things")
parser.add_argument("distro", type=str, help="Linux dis... | code_fim | hard | {
"lang": "python",
"repo": "paholg/openpowercloudimaging",
"path": "/cloudprep/cloudprep.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Mallik-G/pyspark-stubs path: /third_party/3/pyspark/ml/__init__.pyi
# Stubs for pyspark.ml (Python 3.5)
#
# NOTE: This dynamically typed stub<|fim_suffix|>rk.ml.pipeline import Pipeline as Pipeline, PipelineModel as PipelineModel<|fim_middle|> was automatically generated by stubgen.
from pyspark... | code_fim | medium | {
"lang": "python",
"repo": "Mallik-G/pyspark-stubs",
"path": "/third_party/3/pyspark/ml/__init__.pyi",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>mator as Estimator, Model as Model, Transformer as Transformer
from pyspark.ml.pipeline import Pipeline as Pipeline, PipelineModel as PipelineModel<|fim_prefix|># repo: Mallik-G/pyspark-stubs path: /third_party/3/pyspark/ml/__init__.pyi
# Stubs for pyspark.ml (Python 3.5)
#
# NOTE: This dynamically typed... | code_fim | medium | {
"lang": "python",
"repo": "Mallik-G/pyspark-stubs",
"path": "/third_party/3/pyspark/ml/__init__.pyi",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: SimplyCo/cityproblems path: /cityproblems/urls.py
from django.conf.urls import patterns, url, include
from django.conf import settings
<|fim_suffix|>
# media files
if settings.DEBUG:
from django.conf.urls.static import static
urlpatterns += static(settings.MEDIA_URL, document_root=settin... | code_fim | hard | {
"lang": "python",
"repo": "SimplyCo/cityproblems",
"path": "/cityproblems/urls.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
# media files
if settings.DEBUG:
from django.conf.urls.static import static
urlpatterns += static(settings.MEDIA_URL, document_root=settings.MEDIA_ROOT)<|fim_prefix|># repo: SimplyCo/cityproblems path: /cityproblems/urls.py
from django.conf.urls import patterns, url, include
from django.conf imp... | code_fim | hard | {
"lang": "python",
"repo": "SimplyCo/cityproblems",
"path": "/cityproblems/urls.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ZHENTAN007/Chem-Graph-Kernel-Machine path: /chemml/__init__.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
fro<|fim_suffix|> 'KernelArgs', 'TrainArgs', 'ActiveLearningArgs'
]<|fim_middle|>m .args import CommonArgs, KernelArgs, TrainArgs, ActiveLearningArgs
__all__ = [
'CommonArgs', | code_fim | medium | {
"lang": "python",
"repo": "ZHENTAN007/Chem-Graph-Kernel-Machine",
"path": "/chemml/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>ActiveLearningArgs
__all__ = [
'CommonArgs', 'KernelArgs', 'TrainArgs', 'ActiveLearningArgs'
]<|fim_prefix|># repo: ZHENTAN007/Chem-Graph-Kernel-Machine path: /chemml/__init__.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
fro<|fim_middle|>m .args import CommonArgs, KernelArgs, TrainArgs, | code_fim | easy | {
"lang": "python",
"repo": "ZHENTAN007/Chem-Graph-Kernel-Machine",
"path": "/chemml/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> data = ''
result = is_unique(data)
self.assertEqual(result, True)
if __name__ == "__main__":
unittest.main()<|fim_prefix|># repo: cedricium/cracking-the-coding-interview path: /python/chapter1/1.1_is_unique/test.py
import unittest
from is_unique import *
class TestIsUnique... | code_fim | hard | {
"lang": "python",
"repo": "cedricium/cracking-the-coding-interview",
"path": "/python/chapter1/1.1_is_unique/test.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cedricium/cracking-the-coding-interview path: /python/chapter1/1.1_is_unique/test.py
import unittest
from is_unique import *
class TestIsUnique(unittest.TestCase):
def test_truly_unique_str(self):
data = 'abcdefg'
result = is_unique(data)
self.assertEqual(result, Tru... | code_fim | medium | {
"lang": "python",
"repo": "cedricium/cracking-the-coding-interview",
"path": "/python/chapter1/1.1_is_unique/test.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lyn1874/region_based_active_learning path: /select_images.py
# -*- coding: utf-8 -*-
"""
Created on Wed Mar 7 16:42:15 2018
This file is for selecting the most uncertain images in each acquisition step based on the updated model
@author: s161488
"""
import tensorflow as tf
from data_utils.prepa... | code_fim | hard | {
"lang": "python",
"repo": "lyn1874/region_based_active_learning",
"path": "/select_images.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> fb_bald_mean_tot = np.squeeze(np.array(fb_bald_mean_tot), axis=1)
# ed_bald_mean_tot = np.squeeze(np.array(ed_bald_mean_tot), axis=1)
print("Using seletion method", acqu_method)
acqu_method_index = 0
for single_acqu_method in a... | code_fim | hard | {
"lang": "python",
"repo": "lyn1874/region_based_active_learning",
"path": "/select_images.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: securifera/Defcon-Quals-2017-Divided path: /poc.py
#!/usr/bin/env python
# Author: b0yd
# Ex: AppJailLauncher.exe /outbound /key:flag.txt /port:4444 ConsoleApplication2.exe
from pwn import *
import sys
import binascii
#####
##Uncomment the following code to use BugId as the test harness while t... | code_fim | hard | {
"lang": "python",
"repo": "securifera/Defcon-Quals-2017-Divided",
"path": "/poc.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> #Move file handle to rcx for next call
rax_off = rax_gadg.address & 0xffffffff
rax_rop = rax_off + k32_base
buf += p64(rax_rop)
buf += "D" * 0x28 #Garbage
buf += p64(rdx_rop)
buf += p64(read_buf_off + base_addr + 0x30) #Ptr to data section buf
#Get p... | code_fim | hard | {
"lang": "python",
"repo": "securifera/Defcon-Quals-2017-Divided",
"path": "/poc.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: noironetworks/acc-provision path: /provision/gitversion/gitversion.py
from subprocess import Popen, PIPE
import os.path as path
def call_git_rev_parse():
try:
p = Popen(['git', 'rev-parse', 'HEAD'], stdout=PIPE, stderr=PIPE)
p.stderr.close()
line = "Git commit ID: " + p.stdout.readlines()... | code_fim | hard | {
"lang": "python",
"repo": "noironetworks/acc-provision",
"path": "/provision/gitversion/gitversion.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Read in the version that's currently in RELEASE-VERSION.
release_version = read_release_version()
version, version_formatted = call_git_rev_parse()
# If that doesn't work, fall back on the value that's in
# RELEASE-VERSION.
if version is None:
version = release_version
if version is None:
... | code_fim | hard | {
"lang": "python",
"repo": "noironetworks/acc-provision",
"path": "/provision/gitversion/gitversion.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tsabelmann/cthulhucmd path: /cthulhu_cmd/cli.py
"""Module provides CLI class.
"""
# Import C
import cmd
from colorama import Fore, Style, init as colorama_init
from cthulhu_cmd.utils import *
# Import R
import re
import random
# Colorama
colorama_init(autoreset=True)
class CthulhuCmd(cmd.Cmd... | code_fim | hard | {
"lang": "python",
"repo": "tsabelmann/cthulhucmd",
"path": "/cthulhu_cmd/cli.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
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