text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_prefix|># repo: epowers/arc path: /src/build/sync_arc_int.py
#!src/build/run_python
#
# Copyright 2014 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
#
"""Syncs our code in internal/ and the Android internal repos t... | code_fim | hard | {
"lang": "python",
"repo": "epowers/arc",
"path": "/src/build/sync_arc_int.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>def sync_repo(target_revision):
logging.info('Resetting %s to %s' % (_ARC_INTERNAL_DIR, target_revision))
git.reset_to_revision(target_revision, cwd=_ARC_INTERNAL_DIR)
def run():
OPTIONS.parse_configure_file()
# Check if internal/ exists. Run git-clone if not.
if not os.path.isdir(_ARC_INTERN... | code_fim | hard | {
"lang": "python",
"repo": "epowers/arc",
"path": "/src/build/sync_arc_int.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: TD22057/T-Home path: /python/tHome/eagle/messages/Base.py
#===========================================================================
#
# Base class for messages
#
#===========================================================================
import datetime
from . import convert
#===============... | code_fim | hard | {
"lang": "python",
"repo": "TD22057/T-Home",
"path": "/python/tHome/eagle/messages/Base.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> i = " "*indent
s = "%s(\n" % self.name
for key in dir( self ):
if key[0] == "_":
continue
v = getattr( self, key )
if callable( v ):
continue
if hasattr( v, "_format" ):
s += "%s%s : %s,\n" % ( i, key, v.... | code_fim | hard | {
"lang": "python",
"repo": "TD22057/T-Home",
"path": "/python/tHome/eagle/messages/Base.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>if os.path.getmtime(i_path) <= os.path.getmtime(o_path):
exit(0)
with open(i_path, 'r') as i:
with open(o_path, 'w') as o:
text = i.read()
html = markdown.markdown(text)
o.write(layout.format(html=html, style=style))
print("saved " + o_path)<|fim_prefix|># repo: PacketImpact/lvpngui path: /re... | code_fim | medium | {
"lang": "python",
"repo": "PacketImpact/lvpngui",
"path": "/render_changelog.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>with open(i_path, 'r') as i:
with open(o_path, 'w') as o:
text = i.read()
html = markdown.markdown(text)
o.write(layout.format(html=html, style=style))
print("saved " + o_path)<|fim_prefix|># repo: PacketImpact/lvpngui path: /render_changelog.py
#!/usr/bin/env python3
import os
import markdown
... | code_fim | hard | {
"lang": "python",
"repo": "PacketImpact/lvpngui",
"path": "/render_changelog.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: PacketImpact/lvpngui path: /render_changelog.py
#!/usr/bin/env python3
import os
import markdown
layout = """<!DOCTYPE html>
<html>
<head>
<title>Changelog</title>
<style type="text/css">{style}</style>
</head>
<body>{html}</body>
</html>
"""
style = """
body { background: #303030; color: #ff... | code_fim | hard | {
"lang": "python",
"repo": "PacketImpact/lvpngui",
"path": "/render_changelog.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ppasc4l/memerbot path: /groupmebot/RedditBot.py
"""
Ian Dansereau
GroupMeReddit
RedditBot.py
5/5/16
"""
import time
from collections import OrderedDict
from enum import Enum
from urllib.request import urlopen
from groupy import Group, Bot, config
from praw import Reddit
from gr... | code_fim | hard | {
"lang": "python",
"repo": "ppasc4l/memerbot",
"path": "/groupmebot/RedditBot.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def getLatestMessage(self):
return self.group.messages().newest
def connectBot(self):
try:
bot = [bot for bot in Bot.list() if bot.bot_id == self.botID][0]
group = [group for group in Group.list() if group.group_id == self.groupID][0]
if bot is ... | code_fim | hard | {
"lang": "python",
"repo": "ppasc4l/memerbot",
"path": "/groupmebot/RedditBot.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>e contains N.
The second line contains the value of the N integers separated by space(s).
Output Format:
The first line contains N integers separated by space.
Example Input/Output 1:
Input:
10
45 22 14 14 45 23 23 23 45 45
Output:
4 1 2 2 4 3 3 3 4 4
Example Input/Output 2:
Input:
6
11 45 45 67 67 67
Out... | code_fim | hard | {
"lang": "python",
"repo": "muhammad-masood-ur-rehman/Skillrack",
"path": "/Python Programs/python-program-to-print-number-frequency.py",
"mode": "spm",
"license": "CC0-1.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>4 14 45 23 23 23 45 45
Output:
4 1 2 2 4 3 3 3 4 4
Example Input/Output 2:
Input:
6
11 45 45 67 67 67
Output:
1 2 2 3 3 3
n=int(input())
l=list(map(int,input().split()))
print(*[l.count(i) for i in l])<|fim_prefix|># repo: muhammad-masood-ur-rehman/Skillrack path: /Python Programs/python-program-to-print... | code_fim | hard | {
"lang": "python",
"repo": "muhammad-masood-ur-rehman/Skillrack",
"path": "/Python Programs/python-program-to-print-number-frequency.py",
"mode": "spm",
"license": "CC0-1.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: muhammad-masood-ur-rehman/Skillrack path: /Python Programs/python-program-to-print-number-frequency.py
Python Program To Print Number Frequency
An array of N integers is passed as the input to the program. The program must modify the array such that each element in the array is replaced by its f... | code_fim | hard | {
"lang": "python",
"repo": "muhammad-masood-ur-rehman/Skillrack",
"path": "/Python Programs/python-program-to-print-number-frequency.py",
"mode": "psm",
"license": "CC0-1.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lxn5321/-youku- path: /youku服务端/interface/login_user_data.py
from youku服务端.db import models
import os
from youku服务端.lib import common
def check_notic_by_count(count=None):
"""
查看功能的方法，供内部调用
count为None查全部，为1查一条<|fim_suffix|> for notice in notice_list:
back_notice_li... | code_fim | medium | {
"lang": "python",
"repo": "lxn5321/-youku-",
"path": "/youku服务端/interface/login_user_data.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> back_notice_list.append({notice_list[last_row].name:notice_list[last_row].content})
return back_notice_list
else:
return False<|fim_prefix|># repo: lxn5321/-youku- path: /youku服务端/interface/login_user_data.py
from youku服务端.db import models
import os
from youku服务端.lib im... | code_fim | medium | {
"lang": "python",
"repo": "lxn5321/-youku-",
"path": "/youku服务端/interface/login_user_data.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: magdev/opds-proxy path: /catalog/views/api.py
from django.core.paginator import Paginator
from django.db.models import Q
from rest_framework import status
from rest_framework.decorators import api_view
from rest_framework.response import Response
from catalog.models import Book, BookStats
from ca... | code_fim | hard | {
"lang": "python",
"repo": "magdev/opds-proxy",
"path": "/catalog/views/api.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
@api_view()
def recent(request):
limit = request.GET.get('limit', 10)
entries = Book.objects.all().order_by('-updated_at')[:int(limit)]
serializer = BookSerializer(entries, many = True, context = {'request': request})
result = {
'limit': limit,
'results': serialize... | code_fim | hard | {
"lang": "python",
"repo": "magdev/opds-proxy",
"path": "/catalog/views/api.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> query = request.GET.get('q', None)
page = request.GET.get('page', 1)
if query is not None:
results = Book.objects.filter(
Q(title__icontains = query) |
Q(summary__icontains = query) |
Q(description__icontains = query)
).order_by('-year', 'ti... | code_fim | hard | {
"lang": "python",
"repo": "magdev/opds-proxy",
"path": "/catalog/views/api.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: SaikiranKannaiah436/radip path: /UnitTests/test_sequenceWrangler.py
from unittest import TestCase
import SequenceWrangler
import numpy as np
import pandas as pd
import parameters
class TestSequenceWrangler(TestCase):
#Test the function that creates all possible
def test__rnn_data_np_tri... | code_fim | medium | {
"lang": "python",
"repo": "SaikiranKannaiah436/radip",
"path": "/UnitTests/test_sequenceWrangler.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test__dis_from_ref_line(self):
a = np.arange(-10,0)
z = np.zeros(len(a))
data = np.array([a,z]).transpose()
dataWrangler = SequenceWrangler.SequenceWrangler(parameters,data, training=1.0, test=0, val=0)
dis = dataWrangler._dis_from_ref_line(data,4)
s... | code_fim | hard | {
"lang": "python",
"repo": "SaikiranKannaiah436/radip",
"path": "/UnitTests/test_sequenceWrangler.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> username = "john"
user = {"username": username, "email": f"{username}@example.com"}
mock_get_user.return_value = user
apigatewayv2_proxy_event = {
"rawPath": f"/users/{username}",
"requestContext": {
"http": {
"met... | code_fim | hard | {
"lang": "python",
"repo": "ego/usermanagement-backend",
"path": "/tests/test_api_runtime_lambda_function.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ego/usermanagement-backend path: /tests/test_api_runtime_lambda_function.py
import json
import unittest
from unittest import mock
from api.runtime import lambda_function # type: ignore
<|fim_suffix|> @mock.patch.dict(
"helpers.os.environ", {"DATABASE_DYNAMODB_TABLE_NAME": "AppTestCa... | code_fim | medium | {
"lang": "python",
"repo": "ego/usermanagement-backend",
"path": "/tests/test_api_runtime_lambda_function.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Ramyaa01-mlcraze/SIH-templates path: /LICENSE.md/SIH html/app.py
from flask import Flask, render_template, request, redirect, url_for, flash
from helper import load_records, assignAttendance, displayPresent, visitJson
import os
app = Flask(__name__)
# <--- Main --->
att_list = []
BOOL =... | code_fim | hard | {
"lang": "python",
"repo": "Ramyaa01-mlcraze/SIH-templates",
"path": "/LICENSE.md/SIH html/app.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>@app.route('/schedule-visit/confirm', methods=['GET', 'POST'])
def schedule_visit():
args = request.args.to_dict()
visitJson(args)
flash('Visit Scheduled')
return redirect(url_for('index'))
def main():
app.secret_key = os.urandom(24)
app.run(port=5000, debug=True)
if _... | code_fim | hard | {
"lang": "python",
"repo": "Ramyaa01-mlcraze/SIH-templates",
"path": "/LICENSE.md/SIH html/app.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: linbo0518/CSE-5334-Data-Mining path: /Assignments/Homework 1/p1/kmeans.py
import numpy as np
class KMeans:
def __init__(self, k, c=None, tol=1e-3, max_iter=10000):
assert k > 1, f"k should be greater than 1, but now is {k}"
self._k = k
if c:
assert k == ... | code_fim | hard | {
"lang": "python",
"repo": "linbo0518/CSE-5334-Data-Mining",
"path": "/Assignments/Homework 1/p1/kmeans.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> centers = list()
indexes = list()
indexes.append(np.random.randint(len(x)))
center_1 = x[indexes[-1]]
centers.append(center_1)
dist_array = self._compute_dist(x, center_1).tolist()
indexes.append(np.argmax(dist_array))
centers.append(x[indexe... | code_fim | hard | {
"lang": "python",
"repo": "linbo0518/CSE-5334-Data-Mining",
"path": "/Assignments/Homework 1/p1/kmeans.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>admin.site.register(Ad, AdAdmin)<|fim_prefix|># repo: nicksergeant/snipt-old path: /ad/admin.py
from snipt.ad.models import Ad
from django.contrib import admin
class AdAdmin(admin.ModelAdmin):
<|fim_middle|> list_display = ('title','tags','url','image',)
ordering = ('title',)
| code_fim | medium | {
"lang": "python",
"repo": "nicksergeant/snipt-old",
"path": "/ad/admin.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: nicksergeant/snipt-old path: /ad/admin.py
from snipt.ad.models import Ad
from django.contrib import admin
<|fim_suffix|> list_display = ('title','tags','url','image',)
ordering = ('title',)
admin.site.register(Ad, AdAdmin)<|fim_middle|>class AdAdmin(admin.ModelAdmin):
| code_fim | easy | {
"lang": "python",
"repo": "nicksergeant/snipt-old",
"path": "/ad/admin.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __init__(self, nin, nhid, nout, hebb='h,z,r', ln=True):
self.rnn = GRU(nin, nhid, hebb=set(hebb.split(',')), ln=True)
self.out = nn.Linear(nhid, nout)
self.enc = vae.encoder()
self.dec = vae.decoder()
def forward(self, x, hid, hebb=None):
x = s... | code_fim | hard | {
"lang": "python",
"repo": "ajabri/differentiable-plasticity",
"path": "/simple_vae.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> return yout, hebb, out
def initialZeroState(self):
# Return an initialized, all-zero hidden state
return Variable(torch.zeros(1, self.nhid).type(ttype))
def initialZeroHebb(self):
# Return an initialized, all-zero Hebbian trace
return Variable(torch.zeros(... | code_fim | hard | {
"lang": "python",
"repo": "ajabri/differentiable-plasticity",
"path": "/simple_vae.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ajabri/differentiable-plasticity path: /simple_vae.py
# For CPU
ttype = torch.cuda.FloatTensor; # For GPU
bce_loss = nn.BCELoss().type(ttype)
class GRU(nn.Module):
def __init__(self, nin, nout, hebb=set(), ln=True):
super(GRU, self).__init__()
self.h = Cell(nin,... | code_fim | hard | {
"lang": "python",
"repo": "ajabri/differentiable-plasticity",
"path": "/simple_vae.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Roboy/roboy_plexus path: /arm/usr/lib/python2.7/dist-packages/rospkg/common.py
# Software License Agreement (BSD License)
#
# Copyright (c) 2011, Willow Garage, Inc.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provide... | code_fim | medium | {
"lang": "python",
"repo": "Roboy/roboy_plexus",
"path": "/arm/usr/lib/python2.7/dist-packages/rospkg/common.py",
"mode": "psm",
"license": "Python-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
A ROS filesystem resource was not found.
"""
def __init__(self, msg, ros_paths=None):
super(ResourceNotFound, self).__init__(msg)
self.ros_paths = ros_paths
def __str__(self):
s = self.args[0] # python 2.6
if self.ros_paths:
for i, p i... | code_fim | medium | {
"lang": "python",
"repo": "Roboy/roboy_plexus",
"path": "/arm/usr/lib/python2.7/dist-packages/rospkg/common.py",
"mode": "spm",
"license": "Python-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> except (IOError, OSError) as e:
error = 'Failed to Load file: {0}'.format([e])
finally:
if fh is not None:
fh.close()
if error is not None:
return False, error
self.__dirty = False
return True, 'Loaded {0} movie Records from {1}'.format([len(self.__movies), QFileInfo(self.__fna... | code_fim | hard | {
"lang": "python",
"repo": "MeNsaaH/movie-player-pyqt5",
"path": "/qdatastream.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MeNsaaH/movie-player-pyqt5 path: /qdatastream.py
from PyQt5.QtGui import *
from PyQt5.QtWidgets import *
from PyQt5.QtCore import *
import container
class ClassName(container.MovieContainer):
"""docstring for ClassName"""
def __init__(self):
pass
def saveQDataStream(self):
<|fim_suffix|... | code_fim | hard | {
"lang": "python",
"repo": "MeNsaaH/movie-player-pyqt5",
"path": "/qdatastream.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Stonedestroyer/baiumbg-Cogs path: /mxl/dclasses.py
import dataclasses
from .constants import TRADE_POST_SETS_SECTION, TRADE_POST_SU_SECTION, TRADE_POST_SSU_SECTION,\
TRADE_POST_SSSU_SECTION, TRADE_POST_RUNEWORDS_SECTION, TRADE_POST_RAQMOJ_SECTION,\
TR... | code_fim | hard | {
"lang": "python",
"repo": "Stonedestroyer/baiumbg-Cogs",
"path": "/mxl/dclasses.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> ssu_str = ''
for item in sorted(self.ssu.values(), key=lambda k: k.name):
ssu_str += f'[item]{item.name}[/item] x{item.amount}\n' if item.amount > 1 else f'[item]{item.name}[/item]\n'
if ssu_str:
items_section += TRADE_POST_SSU_SECTION.format(items = ssu_st... | code_fim | hard | {
"lang": "python",
"repo": "Stonedestroyer/baiumbg-Cogs",
"path": "/mxl/dclasses.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Shouqun/node-skia path: /gyp/opts.gyp
{
'includes': [
'common.gypi'
],
'targets': [
# Due to an unfortunate intersection of lameness between gcc and gyp,
# we have to build the *_SSE2.cpp files in a separate target. The
# gcc lameness is that, in order to compile SSE2 intri... | code_fim | hard | {
"lang": "python",
"repo": "Shouqun/node-skia",
"path": "/gyp/opts.gyp",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> },
}],
[ 'skia_arch_type == "x86"', {
'sources': [
'../deps/skia/src/opts/SkBitmapProcState_opts_SSSE3.cpp',
],
}],
],
},
# NEON code must be compiled with -mfpu=neon which also affects scalar
# code. To support dynamic NEON code... | code_fim | hard | {
"lang": "python",
"repo": "Shouqun/node-skia",
"path": "/gyp/opts.gyp",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def ProcessOutput(response, args):
"""Wait for operations to finish and return the resource."""
api_version = utils.GetApiVersionFromArgs(args)
utils.WaitForOperation(response, api_version)
project = utils.GetProject()
location = utils.GetLocation(args)
resource_ref = resources.REGISTRY.Creat... | code_fim | hard | {
"lang": "python",
"repo": "google-cloud-sdk-unofficial/google-cloud-sdk",
"path": "/lib/googlecloudsdk/command_lib/media/asset/transformers/hooks.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: google-cloud-sdk-unofficial/google-cloud-sdk path: /lib/googlecloudsdk/command_lib/media/asset/transformers/hooks.py
# -*- coding: utf-8 -*- #
# Copyright 2021 Google LLC. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except i... | code_fim | medium | {
"lang": "python",
"repo": "google-cloud-sdk-unofficial/google-cloud-sdk",
"path": "/lib/googlecloudsdk/command_lib/media/asset/transformers/hooks.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Data4ITBV/Dryvo path: /migrations/versions/62c10b7111e4_.py
"""empty message
Revision ID: 62c10b7111e4
Revises: c4734f6489df
Create Date: 2019-04-01 19:52:11.577324
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '62c10b7111e4'
down_revis... | code_fim | hard | {
"lang": "python",
"repo": "Data4ITBV/Dryvo",
"path": "/migrations/versions/62c10b7111e4_.py",
"mode": "psm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def upgrade():
# ### commands auto generated by Alembic - please adjust! ###
op.alter_column('students', 'creator_id',
existing_type=sa.INTEGER(),
nullable=False)
op.add_column('users', sa.Column('image', sa.String(length=240), nullable=True))
# ### end Alemb... | code_fim | medium | {
"lang": "python",
"repo": "Data4ITBV/Dryvo",
"path": "/migrations/versions/62c10b7111e4_.py",
"mode": "spm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_suffix|> # ### commands auto generated by Alembic - please adjust! ###
op.drop_column('users', 'image')
op.alter_column('students', 'creator_id',
existing_type=sa.INTEGER(),
nullable=True)
# ### end Alembic commands ###<|fim_prefix|># repo: Data4ITBV/Dryvo path: /migr... | code_fim | medium | {
"lang": "python",
"repo": "Data4ITBV/Dryvo",
"path": "/migrations/versions/62c10b7111e4_.py",
"mode": "spm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_suffix|>m_height = height.query("sex=='M'").height
f_height = height.query("sex=='F'").height
a_height = height.height
print(stats.f_oneway(m_height, a_height))
print(stats.f_oneway(f_height, a_height))
print(stats.f_oneway(m_height, f_height))
B = ols('height ~ C(sex)',data=height).fit()
print(anova.a... | code_fim | medium | {
"lang": "python",
"repo": "linxiaohui/CodeRepoPy",
"path": "/StatisticsCode/ANOVA_example.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>print(stats.f_oneway(m_height, a_height))
print(stats.f_oneway(f_height, a_height))
print(stats.f_oneway(m_height, f_height))
B = ols('height ~ C(sex)',data=height).fit()
print(anova.anova_lm(B))<|fim_prefix|># repo: linxiaohui/CodeRepoPy path: /StatisticsCode/ANOVA_example.py
# -*- coding: utf-8 -... | code_fim | medium | {
"lang": "python",
"repo": "linxiaohui/CodeRepoPy",
"path": "/StatisticsCode/ANOVA_example.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: linxiaohui/CodeRepoPy path: /StatisticsCode/ANOVA_example.py
# -*- coding: utf-8 -*-
import pandas as pd
import scipy.stats as stats
from statsmodels.formula.api import ols
import statsmodels.stats.anova as anova
galton = pd.read_csv("galton.csv")
<|fim_suffix|>print(stats.f_oneway(m_... | code_fim | medium | {
"lang": "python",
"repo": "linxiaohui/CodeRepoPy",
"path": "/StatisticsCode/ANOVA_example.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tetris-hermetris/cathedral path: /cathedral/utils/utils.py
def sgn(x):
return ((x > 0) - (x < 0)) * 1
def normalize(poly_sequence):
'''Returns flat sequence of polygons'''
<|fim_suffix|>
def declare(name, value):
globals()[name] = value
print('from utils', globals())<|fim_middle|> return p... | code_fim | easy | {
"lang": "python",
"repo": "tetris-hermetris/cathedral",
"path": "/cathedral/utils/utils.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> '''Returns flat sequence of polygons'''
return poly_sequence
def declare(name, value):
globals()[name] = value
print('from utils', globals())<|fim_prefix|># repo: tetris-hermetris/cathedral path: /cathedral/utils/utils.py
def sgn(x):
return ((x > 0) - (x < 0)) * 1
<|fim_middle|>def normalize(po... | code_fim | easy | {
"lang": "python",
"repo": "tetris-hermetris/cathedral",
"path": "/cathedral/utils/utils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Annamalaisaravanan/code-converter-app path: /code_converter.py
# -*- coding: utf-8 -*-
"""
Created on Sat Jul 10 14:39:13 2021
@author: Annamalai
"""
import streamlit as st
def binary_decimal(d):
num=d
sums=0
places=0
while num!=0:
... | code_fim | hard | {
"lang": "python",
"repo": "Annamalaisaravanan/code-converter-app",
"path": "/code_converter.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> try:
ans=octal_binary(ft)
if submit:
st.info('The binary equivalent is {}'.format(str(ans)))
except ValueError:
if submit:
st.warning('Give a valid octal n... | code_fim | hard | {
"lang": "python",
"repo": "Annamalaisaravanan/code-converter-app",
"path": "/code_converter.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: alphagov-mirror/digitalmarketplace-runner path: /dmrunner/utils.py
import colored
import itertools
import os
import ruamel.yaml
from typing import Dict, List, Tuple
APP_COMMAND_RESTART = "run"
APP_COMMAND_REBUILD = "rebuild"
APP_COMMAND_FRONTEND = "frontend"
EXITCODE_DOCKER_NOT_AVAILABLE = 1
EX... | code_fim | hard | {
"lang": "python",
"repo": "alphagov-mirror/digitalmarketplace-runner",
"path": "/dmrunner/utils.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def get_app_info(repo_name, config, settings, container):
"""THIS NEEDS TO GO. BAD MOJO."""
container["name"] = settings["repositories"][repo_name]["name"]
container["commands"] = settings["repositories"][repo_name].get("commands", {}).copy()
container["repo_path"] = os.path.join(os.path.... | code_fim | hard | {
"lang": "python",
"repo": "alphagov-mirror/digitalmarketplace-runner",
"path": "/dmrunner/utils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
numbers = [8402868, 2295738, 5938342, 7925426]
start = time()
threads = []
for number in numbers:
thread = FactorizeThread(number)
thread.start()
threads.append(thread)
# wait for all thread to finish
for thread in threads:
thread.join()
end = time()
print(f'Took {end - start:.3f} second... | code_fim | medium | {
"lang": "python",
"repo": "zeroam/TIL",
"path": "/python/gil/with_multithread.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: zeroam/TIL path: /python/gil/with_multithread.py
from time import time
from threading import Thread
def factorize(number):
for i in range(1, number + 1):
if number % 1 == 0:
yield i
<|fim_suffix|> self.factors = list(factorize(self.number))
numbers = [8402868, ... | code_fim | medium | {
"lang": "python",
"repo": "zeroam/TIL",
"path": "/python/gil/with_multithread.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> super().__init__()
self.number = number
def run(self):
self.factors = list(factorize(self.number))
numbers = [8402868, 2295738, 5938342, 7925426]
start = time()
threads = []
for number in numbers:
thread = FactorizeThread(number)
thread.start()
threads.append(thr... | code_fim | medium | {
"lang": "python",
"repo": "zeroam/TIL",
"path": "/python/gil/with_multithread.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> important_topics = [k for k, v in sorted(enumerate(mdl.get_count_by_topics()), key=lambda x:x[1], reverse=True)]
for k in important_topics:
if not mdl.is_live_topic(k): continue
print('Topic #{}'.format(k))
for word, prob in mdl.get_topic_words(k):
print('\t', w... | code_fim | medium | {
"lang": "python",
"repo": "bab2min/tomotopy",
"path": "/examples/hdp_basic.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bab2min/tomotopy path: /examples/hdp_basic.py
import sys
import tomotopy as tp
def hdp_example(input_file, save_path):
mdl = tp.HDPModel(tw=tp.TermWeight.ONE, min_cf=3, rm_top=5)
for n, line in enumerate(open(input_file, encoding='utf-8')):
ch = line.strip().split()
mdl.a... | code_fim | medium | {
"lang": "python",
"repo": "bab2min/tomotopy",
"path": "/examples/hdp_basic.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: remon/pythonCodes path: /Modules/secreat-message.py
from __future__ import print_function
#This file contain examples for os module
#What is os module?
#is a module using for list files in folder, we can get name of current working directory
#rename files , write on files
import os
<|fim_suff... | code_fim | medium | {
"lang": "python",
"repo": "remon/pythonCodes",
"path": "/Modules/secreat-message.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # (1) get file names from a folder
file_list = os.listdir(r"C:\Users\user\Desktop\python\pythonCodes\Modules\images")
# r (row path) mean take the string as it's and don't interpreter
saved_path = os.getcwd()
print(saved_path)
saved_path = os.chdir(r"C:\Users\user\Desktop\python\pythonCodes\Module... | code_fim | medium | {
"lang": "python",
"repo": "remon/pythonCodes",
"path": "/Modules/secreat-message.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Python3pkg/Mallet path: /mallet/common/SummaryBase.py
s as returning default no-children responses.
#
# :return: return an SBValue to be presented as the value of the synthetic value under consideration.
# :rtype: lldb.SBValue
# """
def register_child_value(self, ... | code_fim | hard | {
"lang": "python",
"repo": "Python3pkg/Mallet",
"path": "/mallet/common/SummaryBase.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def get_count_value(obj):
"""
Returns count of child objects from LLDB value.
:param lldb.SBValue obj: LLDB value object.
:return: Count of child objects from LLDB value.
:rtype: int | None
"""
# Passed None value.
if obj is None:
return None
# Return 0 if obj... | code_fim | hard | {
"lang": "python",
"repo": "Python3pkg/Mallet",
"path": "/mallet/common/SummaryBase.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Python3pkg/Mallet path: /mallet/common/SummaryBase.py
""":type: lldb.SBValue"""
if value is not None:
value = get_synthetic_value_copy(value)
has_children = value.MightHaveChildren()
""":type: bool"""
return has_childre... | code_fim | hard | {
"lang": "python",
"repo": "Python3pkg/Mallet",
"path": "/mallet/common/SummaryBase.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> pass
# found by /home/rasmus/code/ql/python/ql/test/query-tests/Statements/asserts/AssertLiteralConstant.qlref<|fim_prefix|># repo: github/codeql path: /python/ql/test/3/library-tests/PointsTo/regressions/subprocess-assert/mwe_failure.py
import subprocess
assert subprocess.call(['run-backup']) == 0
... | code_fim | easy | {
"lang": "python",
"repo": "github/codeql",
"path": "/python/ql/test/3/library-tests/PointsTo/regressions/subprocess-assert/mwe_failure.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: github/codeql path: /python/ql/test/3/library-tests/PointsTo/regressions/subprocess-assert/mwe_failure.py
import subprocess
assert subprocess.call(['run-backup']) == 0
class TestCase:
<|fim_suffix|> pass
# found by /home/rasmus/code/ql/python/ql/test/query-tests/Statements/asserts/AssertLite... | code_fim | easy | {
"lang": "python",
"repo": "github/codeql",
"path": "/python/ql/test/3/library-tests/PointsTo/regressions/subprocess-assert/mwe_failure.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def reportExport(jdid_list):
try:
fileDir=config.report_download_path
if not os.path.exists(fileDir):
os.makedirs(fileDir)
for i in os.listdir(fileDir):
oldfile=os.path.join(fileDir, i)
if(time.time()-os.path.getmtime(oldfile)>60*60):
... | code_fim | hard | {
"lang": "python",
"repo": "LamCiuLoeng/jcp",
"path": "/ordering/util/upc2excel.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def _upc2Excel(upc, data, copyTemplatePath, fileDir):
xlsFileName = "%s_%s.xls" % (upc, datetime.now().strftime("%Y%m%d%H%M%S"))
filename = os.path.join(fileDir, xlsFileName)
#print 'filename',filename
# print 'input data', time.ctime()
rfid = RFIDExcel(templatePath=copyTemplatePath, d... | code_fim | hard | {
"lang": "python",
"repo": "LamCiuLoeng/jcp",
"path": "/ordering/util/upc2excel.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: LamCiuLoeng/jcp path: /ordering/util/upc2excel.py
# -*- coding: utf-8 -*-
import shutil, os, zipfile, traceback, random
from datetime import datetime
from ordering.util.excel_helper import *
from common import serveFile, Date2Text
from ordering.model import *
from tg import request, config, flas... | code_fim | hard | {
"lang": "python",
"repo": "LamCiuLoeng/jcp",
"path": "/ordering/util/upc2excel.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> x = point[0] / point[2]
y = point[1] / point[2]
if intrin.model == 0:
r2 = x * x + y * y<|fim_prefix|># repo: yiyangd/SummerResearch2021 path: /rsutil.py
point = []
intrin = {"model": 0}
<|fim_middle|>def rs2_project_point_to_pixel(pixel[2], intrin, point[3]):
| code_fim | medium | {
"lang": "python",
"repo": "yiyangd/SummerResearch2021",
"path": "/rsutil.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: yiyangd/SummerResearch2021 path: /rsutil.py
point = []
intrin = {"model": 0}
<|fim_suffix|> x = point[0] / point[2]
y = point[1] / point[2]
if intrin.model == 0:
r2 = x * x + y * y<|fim_middle|>def rs2_project_point_to_pixel(pixel[2], intrin, point[3]):
| code_fim | medium | {
"lang": "python",
"repo": "yiyangd/SummerResearch2021",
"path": "/rsutil.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def show_dist(self):
plt.xlim([0, self.distance_bins[-1]])
for charge_dist, _idx in zip(self.charge_dists, self.band_idxs):
for dist, spin in zip(charge_dist, ["up", "down"]):
plt.plot(self.bins_middle_points[:-1],
dist.radial_dist[:... | code_fim | hard | {
"lang": "python",
"repo": "Xcodemachine/pydefect",
"path": "/pydefect/analyzer/defect_charge_info.py",
"mode": "spm",
"license": "Python-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Xcodemachine/pydefect path: /pydefect/analyzer/defect_charge_info.py
# -*- coding: utf-8 -*-
# Copyright (c) 2020 Kumagai group.
from dataclasses import dataclass
from typing import List
import numpy as np
from matplotlib import pyplot as plt
from monty.json import MSONable
from pydefect.defaul... | code_fim | hard | {
"lang": "python",
"repo": "Xcodemachine/pydefect",
"path": "/pydefect/analyzer/defect_charge_info.py",
"mode": "psm",
"license": "Python-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def _add_band_info(self, band_idx, c_dist, lines, spin):
try:
radius = f"{self.half_charge_radius(band_idx, spin):6.3f}"
except ValueError:
radius = "None"
spin_idx = 0 if spin == Spin.up else 1
spin_str = "up" if spin == Spin.up else "down"
... | code_fim | hard | {
"lang": "python",
"repo": "Xcodemachine/pydefect",
"path": "/pydefect/analyzer/defect_charge_info.py",
"mode": "spm",
"license": "Python-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>if __name__ == "__main__":
test_cls_in_locals()<|fim_prefix|># repo: plasma-umass/scalene path: /test/issues/test-issue193.py
import time
def test_cls_in_locals():
<|fim_middle|> cls = "This value is not a class"
time.sleep(0.5)
| code_fim | medium | {
"lang": "python",
"repo": "plasma-umass/scalene",
"path": "/test/issues/test-issue193.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: plasma-umass/scalene path: /test/issues/test-issue193.py
import time
def test_cls_in_locals():
<|fim_suffix|>if __name__ == "__main__":
test_cls_in_locals()<|fim_middle|> cls = "This value is not a class"
time.sleep(0.5)
| code_fim | medium | {
"lang": "python",
"repo": "plasma-umass/scalene",
"path": "/test/issues/test-issue193.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kuoyenlo/unsupervised-learning-intrinsic-images path: /train.py
import time
import torch
import sys
import numpy as np
import random
import os
from options.train_options import TrainOptions
from data.data_loader import CreateDataLoader
from data.data_loader import CreateDataLoaderIIWTest
from mo... | code_fim | hard | {
"lang": "python",
"repo": "kuoyenlo/unsupervised-learning-intrinsic-images",
"path": "/train.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> total_count +=count
model.switch_to_train()
return total_loss/(total_count)
def validation_SAW(model):
# parameters for SAW
pixel_labels_dir = saw_root + 'saw/saw_pixel_labels/saw_data-filter_size_0-ignore_border_0.05-normal_gradmag_thres_1.5-depth_gradmag_thres_2.0'
s... | code_fim | hard | {
"lang": "python",
"repo": "kuoyenlo/unsupervised-learning-intrinsic-images",
"path": "/train.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: googleapis/python-firestore path: /google/cloud/firestore_admin_v1/types/__init__.py
# -*- coding: utf-8 -*-
# Copyright 2023 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy o... | code_fim | hard | {
"lang": "python",
"repo": "googleapis/python-firestore",
"path": "/google/cloud/firestore_admin_v1/types/__init__.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
"GetFieldRequest",
"GetIndexRequest",
"ImportDocumentsRequest",
"ListDatabasesRequest",
"ListDatabasesResponse",
"ListFieldsRequest",
"ListFieldsResponse",
"ListIndexesRequest",
"ListIndexesResponse",
"UpdateDatabaseMetadata",
"UpdateDatabaseRequest",
"Upda... | code_fim | hard | {
"lang": "python",
"repo": "googleapis/python-firestore",
"path": "/google/cloud/firestore_admin_v1/types/__init__.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> utils.check_sanity(adata, batch, hvg)
split, categories = utils.split_batches(adata, batch, return_categories=True)
corrected, _, _ = mnnpy.mnn_correct(
*split,
var_subset=hvg,
batch_key=batch,
batch_categories=categories,
index_unique=None,
**k... | code_fim | hard | {
"lang": "python",
"repo": "YosefLab/scib",
"path": "/scib/integration.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: YosefLab/scib path: /scib/integration.py
"""
This module provides a toolkit for running a large range of single cell data integration
methods as well as tools and metrics to benchmark them.
"""
import logging
import os
import tempfile
import anndata
import numpy as np
import rpy2.rinterface_lib... | code_fim | hard | {
"lang": "python",
"repo": "YosefLab/scib",
"path": "/scib/integration.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return txhash(tx,hashcode).decode('hex')
def ecdsa_tx_sign(tx,priv,hashcode=SIGHASH_ALL):
rawsig = ecdsa_raw_sign(bin_txhash(tx,hashcode),priv)
return der_encode_sig(*rawsig)+encode(hashcode,16,2)
def ecdsa_tx_verify(tx,sig,pub,hashcode=SIGHASH_ALL):
return ecdsa_raw_verify(bin_txhash(tx... | code_fim | hard | {
"lang": "python",
"repo": "JPeroutek/mycoin",
"path": "/pt/transaction.py",
"mode": "spm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: JPeroutek/mycoin path: /pt/transaction.py
#!/usr/bin/python
import re, json, copy
from main import *
### Hex to bin converter and vice versa for objects
def json_is_base(obj,base):
alpha = get_code_string(base)
if isinstance(obj,(str,unicode)):
for i in range(len(obj)):
... | code_fim | hard | {
"lang": "python",
"repo": "JPeroutek/mycoin",
"path": "/pt/transaction.py",
"mode": "psm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_suffix|> if re.match('^[0-9a-fA-F]*$',tx): tx = tx.decode('hex')
if re.match('^[0-9a-fA-F]*$',script): script = script.decode('hex')
if not re.match('^[0-9a-fA-F]*$',sig): sig = sig.encode('hex')
hashcode = ord(sig[-1])
modtx = signature_form(tx,int(i),script)
return ecdsa_tx_verify(modtx,s... | code_fim | hard | {
"lang": "python",
"repo": "JPeroutek/mycoin",
"path": "/pt/transaction.py",
"mode": "spm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Shohzod-Abdusamatov/learn_python path: /time.py
# -*- coding: utf-8 -*-
"""
Created on Mon Nov 23 19:59:20 2020
<|fim_suffix|>from datetime import datetime
hozir=datetime.now()
print(hozir.strftime("%Y-%m-%d:hour %H-%M-%S"))
print("salom soat")<|fim_middle|>@author: Shohzod
"""
| code_fim | easy | {
"lang": "python",
"repo": "Shohzod-Abdusamatov/learn_python",
"path": "/time.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>from datetime import datetime
hozir=datetime.now()
print(hozir.strftime("%Y-%m-%d:hour %H-%M-%S"))
print("salom soat")<|fim_prefix|># repo: Shohzod-Abdusamatov/learn_python path: /time.py
# -*- coding: utf-8 -*-
"""
Created on Mon Nov 23 19:59:20 2020
<|fim_middle|>@author: Shohzod
"""
| code_fim | easy | {
"lang": "python",
"repo": "Shohzod-Abdusamatov/learn_python",
"path": "/time.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sashanksilwal/CRSLR path: /Ngoc/Week 4/cv.py
"""
cv.py
Defines methods for conducting cross validation on a Bayesian Model.
Author: Ngoc Hoang
Last modified: June 15, 2021
Dependencies: the following packages and/or libraries are assumed
to have been imported prior to using the methods
- pandas
... | code_fim | hard | {
"lang": "python",
"repo": "sashanksilwal/CRSLR",
"path": "/Ngoc/Week 4/cv.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def cross_val(model, data, n, target):
"""n-fold cross validation for a model
Args:
model: the estimator to train and validate
data: pandasDataFrame object, the complete dataset
it is assumed that the dataset contains the labels
n: number of folds to conduct ... | code_fim | hard | {
"lang": "python",
"repo": "sashanksilwal/CRSLR",
"path": "/Ngoc/Week 4/cv.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> Args:
data: pandasDataFrame object, the dataset to partition
n: number of equal parts to split the data
Returns:
splits: list of n parts of the data, each one is a pandasDataFrame
"""
splits = []
remaining = data.copy(deep=True)
for i in range(n):
s... | code_fim | medium | {
"lang": "python",
"repo": "sashanksilwal/CRSLR",
"path": "/Ngoc/Week 4/cv.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mugoh/audioConvertor path: /convertor/formats.py
"""
This module holds the class that makes
subprocess calls to ffmpeg with the received
CLI commands.
"""
import subprocess
import os
import platform
from click import echo, style
from convertor.utils.file_types import require_ffmepg, ... | code_fim | hard | {
"lang": "python",
"repo": "mugoh/audioConvertor",
"path": "/convertor/formats.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
Invokes subprocess with commands
required to process a user input call.
"""
try:
subprocess.check_output(cmds)
except subprocess.CalledProcessError as er:
print("Unable to complete conversion\n", er)
else:
... | code_fim | hard | {
"lang": "python",
"repo": "mugoh/audioConvertor",
"path": "/convertor/formats.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
Converts all files specified in directory.
"""
for video in video_files:
self.to_audio(os.path.abspath(video),
out, brate, _format)
def load_player(self, playitems, preferred_player):
"""
Opens up audio... | code_fim | hard | {
"lang": "python",
"repo": "mugoh/audioConvertor",
"path": "/convertor/formats.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>def _parse_timedelta_composite(raw_value, unit):
if unit != 'seconds':
raise ValueError("Cannot specify units with composite delta")
values = raw_value.split(':')
units = 'hours', 'minutes', 'seconds'
composed = ' '.join(f'{value} {unit}' for value, unit in zip(values, units))
... | code_fim | hard | {
"lang": "python",
"repo": "jaraco/tempora",
"path": "/tempora/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> TODO: Should this be 14 hours or 14 minutes?
>>> parse_timedelta('14:00')
datetime.timedelta(seconds=50400)
>>> parse_timedelta('14:00 minutes')
Traceback (most recent call last):
...
ValueError: Cannot specify units with composite delta
Nanoseconds get rounded to the ne... | code_fim | hard | {
"lang": "python",
"repo": "jaraco/tempora",
"path": "/tempora/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jaraco/tempora path: /tempora/__init__.py
nds_per_minute = 60
minutes_per_hour = 60
hours_per_day = 24
seconds_per_hour = seconds_per_minute * minutes_per_hour
seconds_per_day = seconds_per_hour * hours_per_day
days_per_year = seconds_per_year / seconds_per_day
thirty_days = datetime.timedelta(da... | code_fim | hard | {
"lang": "python",
"repo": "jaraco/tempora",
"path": "/tempora/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: SR-Sunny-Raj/Hacktoberfest2021-DSA path: /33. Python Programs/Square of n numbers.py
''' Problem Statement : To find square of given N numbers using Recursion and iterative approach'''
n=int(input("Enter Number : "))
def squareIterative(n):
for i in range(n,0,-1):
print(i**2,end=" ")... | code_fim | easy | {
"lang": "python",
"repo": "SR-Sunny-Raj/Hacktoberfest2021-DSA",
"path": "/33. Python Programs/Square of n numbers.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>print()
def squareRecursive(n):
if n>0:
print(n**2,end=" ")
squareRecursive(n-1)
squareRecursive(n)<|fim_prefix|># repo: SR-Sunny-Raj/Hacktoberfest2021-DSA path: /33. Python Programs/Square of n numbers.py
''' Problem Statement : To find square of given N numbers using Recursion and ... | code_fim | medium | {
"lang": "python",
"repo": "SR-Sunny-Raj/Hacktoberfest2021-DSA",
"path": "/33. Python Programs/Square of n numbers.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Insert article and summary into DB.
dao.article.insert(
session=session,
text=vb_article.get('content', article.text),
url=normalize_url(url),
title=vb_article.get('title', article.title),
keywords=keywords,
sentence... | code_fim | hard | {
"lang": "python",
"repo": "jamo95/Newsy",
"path": "/dl.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jamo95/Newsy path: /dl.py
#!/usr/bin/env python
# Downloads files from the archive pages of supported sites.
import datetime
import hashlib
import newspaper
import re
import requests
import sys
from bs4 import BeautifulSoup
from newspaper import Article
from nltk.stem.snowball import Snowbal... | code_fim | hard | {
"lang": "python",
"repo": "jamo95/Newsy",
"path": "/dl.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Bingwen-Hu/hackaway path: /books/learnScrapy/twisted/twisted_coordiate.py
""" limit the resource the program may consume """
from twisted.internet import reactor
from twisted.internet import defer
from twisted.internet import task
<|fim_suffix|>
def twisted_developer_day(customers):
print("C... | code_fim | hard | {
"lang": "python",
"repo": "Bingwen-Hu/hackaway",
"path": "/books/learnScrapy/twisted/twisted_coordiate.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def twisted_developer_day(customers):
print("Cood morning from twisted developer")
work = (inline_install(customer) for customer in customers)
coop = task.Cooperator()
# every time get 5 jobs as a batch
join = defer.DeferredList([coop.coiterate(work) for i in range(5)])
join.addC... | code_fim | hard | {
"lang": "python",
"repo": "Bingwen-Hu/hackaway",
"path": "/books/learnScrapy/twisted/twisted_coordiate.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
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