text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_prefix|># repo: geertj/draco2 path: /draco2/database/test/test_dbapi.py
lumns."""
conn = self.database.connection()
cursor = conn.cursor()
dialect = self.database.dialect()
dbapi = self.database.dbapi()
query = dialect.translate('DROP TABLE test_integer')
try:
... | code_fim | hard | {
"lang": "python",
"repo": "geertj/draco2",
"path": "/draco2/database/test/test_dbapi.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_blob(self):
"""Test data insertion and retrieval to text columns."""
conn = self.database.connection()
cursor = conn.cursor()
dialect = self.database.dialect()
dbapi = self.database.dbapi()
query = dialect.translate('DROP TABLE test_blob')
... | code_fim | hard | {
"lang": "python",
"repo": "geertj/draco2",
"path": "/draco2/database/test/test_dbapi.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>lsView
urlpatterns = [
path('<pk>', MbuDetailsView.as_view(), name="mbu>details"),
]<|fim_prefix|># repo: dchaplinsky/ragoogle path: /mbu/urls.py
from django.urls import path
from django.con<|fim_middle|>f.urls import url
from .views import MbuDetai | code_fim | easy | {
"lang": "python",
"repo": "dchaplinsky/ragoogle",
"path": "/mbu/urls.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dchaplinsky/ragoogle path: /mbu/urls.py
from django.urls import path
from django.con<|fim_suffix|>DetailsView.as_view(), name="mbu>details"),
]<|fim_middle|>f.urls import url
from .views import MbuDetailsView
urlpatterns = [
path('<pk>', Mbu | code_fim | medium | {
"lang": "python",
"repo": "dchaplinsky/ragoogle",
"path": "/mbu/urls.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> This method changes the power state and polls AMT until the desired
power state is reached.
:param task: a TaskManager instance contains the target node.
:param target_state: desired power state.
:returns: one of ironic.common.states.
:raises: PowerStateFailure if cannot set the n... | code_fim | hard | {
"lang": "python",
"repo": "foxhua/ironic",
"path": "/ironic/drivers/modules/amt/power.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: foxhua/ironic path: /ironic/drivers/modules/amt/power.py
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless ... | code_fim | hard | {
"lang": "python",
"repo": "foxhua/ironic",
"path": "/ironic/drivers/modules/amt/power.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> return list(self._plugins)
def isregistered(self, plugin):
return plugin in self._plugins
def listattr(self, attrname, plugins=None, extra=(), reverse=False):
l = []
if plugins is None:
plugins = self._plugins
if extra:
plugins += ... | code_fim | hard | {
"lang": "python",
"repo": "yanhongliu/DARLAB",
"path": "/InvTL/lm_py/analysis/dotviewer/py/_com.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: yanhongliu/DARLAB path: /InvTL/lm_py/analysis/dotviewer/py/_com.py
"""
py lib plugins and events.
you can write plugins that extend the py lib API.
currently this is mostly used by py.test
registering a plugin
++++++++++++++++++++++++++++++++++
::
>>> class MyPlugin:
... def pyev... | code_fim | hard | {
"lang": "python",
"repo": "yanhongliu/DARLAB",
"path": "/InvTL/lm_py/analysis/dotviewer/py/_com.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: rodrigosilvanew/pythonexercicios-guanabara path: /ex028.py
import random, emoji
from time import sleep #sleep faz com que o computador demore alguns segundos
n = int(input('Adivinhe qual o número escolhido pelo computador: '))
lista = [0, 1, 2, 3, 4, 5]
#lista = randint(0, 5) o randint sorteari... | code_fim | medium | {
"lang": "python",
"repo": "rodrigosilvanew/pythonexercicios-guanabara",
"path": "/ex028.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>ojize('Sinto muito, mas você errou. Precisas treinar tuas técnicas mentais. Fala com o Professor X, talvez ele possa te ajudar! :disappointed:', use_aliases=True))
print('-=-' * 50)<|fim_prefix|># repo: rodrigosilvanew/pythonexercicios-guanabara path: /ex028.py
import random, emoji
from time import sleep... | code_fim | hard | {
"lang": "python",
"repo": "rodrigosilvanew/pythonexercicios-guanabara",
"path": "/ex028.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: vra/python-cookbook path: /chapter1/1-19.py
import itertools
import os
def anyTrue(predicate, sequence):
return True in itertools.imap(predicate, sequence)
def is_endwith(s, *ends):
<|fim_suffix|>
if __name__ == '__main__':
print is_endwith('hello world', 'd', 'a', 'b')
# example: fin... | code_fim | medium | {
"lang": "python",
"repo": "vra/python-cookbook",
"path": "/chapter1/1-19.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
if __name__ == '__main__':
print is_endwith('hello world', 'd', 'a', 'b')
# example: find image file in dir
for filename in os.listdir('.'):
if is_endwith(filename, '.jpg', '.png', '.jpeg', '.gif'):
print filename
#Bound Method example
l = ['apple', 'grape', 'banan... | code_fim | medium | {
"lang": "python",
"repo": "vra/python-cookbook",
"path": "/chapter1/1-19.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>params = {
'format': 'json',
'action': 'query',
'prop': 'revisions',
'rvlimit': 1,
'titles': 'Python_(programming_language)'
}
url = 'http://en.wikipedia.org/w/api.php'
pages = Wikipedia(url, params, max_requests=2)
for page in pages:
rev_pages = page['query']['pages']
for pag... | code_fim | medium | {
"lang": "python",
"repo": "yaph/breq",
"path": "/tests/wikipedia_revisions.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: yaph/breq path: /tests/wikipedia_revisions.py
# coding: utf-8
# Print the last 10 users that edited the Python language page.
import sys
sys.path.insert(0, '..')
<|fim_suffix|>pages = Wikipedia(url, params, max_requests=2)
for page in pages:
rev_pages = page['query']['pages']
for pageid,... | code_fim | hard | {
"lang": "python",
"repo": "yaph/breq",
"path": "/tests/wikipedia_revisions.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: TheusZer0/ctf-archives path: /VolgaCTF/2021/Quals/crypto/Carry/fcsr.py
import random
import math
class FCSR():
def __init__(self, q: int, m: int, a: int):
self.m = m
self.q = q + 1
self.k = int(math.log(q, 2))
self.a = a
@staticmethod
def... | code_fim | hard | {
"lang": "python",
"repo": "TheusZer0/ctf-archives",
"path": "/VolgaCTF/2021/Quals/crypto/Carry/fcsr.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return a_0
def encrypt(self, data: bytes) -> bytes:
encrypted = b''
for byte in data:
key_byte = 0
for _ in range(8):
bit = self.clock()
key_byte = (key_byte << 1) | bit
encrypted += int.to_bytes(key_... | code_fim | hard | {
"lang": "python",
"repo": "TheusZer0/ctf-archives",
"path": "/VolgaCTF/2021/Quals/crypto/Carry/fcsr.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def clock(self) -> int:
s = self.m
for i in range(1, self.k + 1):
s += self.get_i(self.q, i) * self.get_i(self.a, self.k - i)
a_k = s % 2
a_0 = self.a & 0b1
self.m = s // 2
self.a = (self.a >> 1) | (a_k << (self.k - 1))
retu... | code_fim | medium | {
"lang": "python",
"repo": "TheusZer0/ctf-archives",
"path": "/VolgaCTF/2021/Quals/crypto/Carry/fcsr.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cash2one/xai path: /xai/brain/wordbase/nouns/_rendering.py
#calss header
class _RENDERING():
def __init__(self,):
self.name = "RENDERING"
self.definitions = [u'the way that something is performed, written, drawn, etc.: ', u'a translation of a book or piece of writing into a different lang... | code_fim | medium | {
"lang": "python",
"repo": "cash2one/xai",
"path": "/xai/brain/wordbase/nouns/_rendering.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>Ustr = Intern.intern
ustrStr = Intern.internIfStr
ustr_property = Intern.internProperty
ustr_func = Intern.internFuncStrings
ustr_method = Intern.internMethodStrings
def reset():
"""Reset the module, forgetting previously defined Ustr instances.
This exists for backward compatability only. It do... | code_fim | hard | {
"lang": "python",
"repo": "paul-ollis/cleversheep3",
"path": "/Prog/Ustr.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: paul-ollis/cleversheep3 path: /Prog/Ustr.py
#!/usr/bin/env python
"""A module that maps unique strings to the same objects.
This is useful when, for example, you have some complicated structures that
are identified and referenced by names.
"""
__docformat__ = "restructuredtext"
import os
import... | code_fim | medium | {
"lang": "python",
"repo": "paul-ollis/cleversheep3",
"path": "/Prog/Ustr.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> {
'ENGINE': 'django.db.backends.postgresql',
'NAME': 'metanic',
'USER': 'MetanicUser',
'PASSWORD': 'MetanicDevelopment',
'HOST': 'postgres',
'PORT': '5432',
}
}<|fim_prefix|># repo: metanic/services path: /metanic/setti... | code_fim | medium | {
"lang": "python",
"repo": "metanic/services",
"path": "/metanic/settings/compose.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: metanic/services path: /metanic/settings/compose.py
from metanic.settings.development import *
CACHES = {
'default':
{
'BACKEND': 'django.core.cache.backends.memcached.MemcachedCache',
'LOCATION': 'memcached:11211',
}
}
DATABASES = {
'default':
... | code_fim | medium | {
"lang": "python",
"repo": "metanic/services",
"path": "/metanic/settings/compose.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>ser',
'PASSWORD': 'MetanicDevelopment',
'HOST': 'postgres',
'PORT': '5432',
}
}<|fim_prefix|># repo: metanic/services path: /metanic/settings/compose.py
from metanic.settings.development import *
CACHES = {
'default':
{
'BACKEND': 'djan... | code_fim | hard | {
"lang": "python",
"repo": "metanic/services",
"path": "/metanic/settings/compose.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: xe1gyq/flydan path: /src/nav.py
Returns:
bool: True if success, False if killed by `EXIT` command.
"""
shared.status['command'] = 'STDBY'
util.log_info("%s Standby, awaiting 'LIFT'." % shared.AGENT_ID)
wait_count = 0
while True:
time.sleep(.1)
... | code_fim | hard | {
"lang": "python",
"repo": "xe1gyq/flydan",
"path": "/src/nav.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: xe1gyq/flydan path: /src/nav.py
perform takeoff of the copter.
Because it requires a high-level command link with the GCS (`gcs.py`),
an `xbee.XBee` or `xbee.Zigbee` object (either a real one or simulated)
is need. See the module `xbee`, `comm.py` and the datasheets for more ... | code_fim | hard | {
"lang": "python",
"repo": "xe1gyq/flydan",
"path": "/src/nav.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # new position in decimal degrees
newlat = original_location.lat + math.degrees(dLat)
newlon = original_location.lon + math.degrees(dLon)
# return according to the input coordinate Class
if isinstance(original_location,LocationGlobal):
targetlocation = LocationGlobal(newla... | code_fim | hard | {
"lang": "python",
"repo": "xe1gyq/flydan",
"path": "/src/nav.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: vintasoftware/django-zombodb path: /django_zombodb/base_indexes.py
# From Django 2.1, for Django < 2.1
from django.db.models import Index
from django.utils.functional import cached_property
<|fim_suffix|>
@cached_property
def max_name_length(self):
# Allow an index name longer t... | code_fim | medium | {
"lang": "python",
"repo": "vintasoftware/django-zombodb",
"path": "/django_zombodb/base_indexes.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
@cached_property
def max_name_length(self):
# Allow an index name longer than 30 characters when the suffix is
# longer than the usual 3 character limit. The 30 character limit for
# cross-database compatibility isn't applicable to PostgreSQL-specific
# indexes.
... | code_fim | medium | {
"lang": "python",
"repo": "vintasoftware/django-zombodb",
"path": "/django_zombodb/base_indexes.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: smygt/DjangoSchoolSystem path: /CourseOnline/MainProject/migrations/0038_auto_20200111_1850.py
# Generated by Django 3.0.1 on 2020-01-11 15:50
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
import django.utils.timezone
<|fim_suffix|> ... | code_fim | hard | {
"lang": "python",
"repo": "smygt/DjangoSchoolSystem",
"path": "/CourseOnline/MainProject/migrations/0038_auto_20200111_1850.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> operations = [
migrations.RemoveField(
model_name='lecture',
name='syllabus',
),
migrations.AlterField(
model_name='studentuploadfile',
name='doc_file',
field=models.FileField(null=True, upload_to=''),
),
... | code_fim | hard | {
"lang": "python",
"repo": "smygt/DjangoSchoolSystem",
"path": "/CourseOnline/MainProject/migrations/0038_auto_20200111_1850.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('MainProject', '0037_auto_20200109_1521'),
]
operations = [
migrations.RemoveField(
model_name='lecture',
name='syllabus',
),
migrations.AlterField(
... | code_fim | hard | {
"lang": "python",
"repo": "smygt/DjangoSchoolSystem",
"path": "/CourseOnline/MainProject/migrations/0038_auto_20200111_1850.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>u$ = {0:3.1f}'.format(n_i)
ax[1].plot(x2, st.t.pdf(x2, n_i), color='k',
linestyle=styles[index], label=plot_label)
ax[1].plot(x2, st.norm.pdf(x2), color='k',
linestyle=styles[-1], label='$\\nu = \\infty$')
ax[1].set_xlim(-6.5, 6.5)
ax[1].set_ylim(0, 0.42)
ax[1].set_xlabel('確率... | code_fim | hard | {
"lang": "python",
"repo": "nakatsuma/python_for_bayes",
"path": "/python/pybayes_invgamma_t.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: nakatsuma/python_for_bayes path: /python/pybayes_invgamma_t.py
# -*- coding: utf-8 -*-
#%% NumPyの読み込み
import numpy as np
# SciPyのstatsモジュールの読み込み
import scipy.stats as st
# MatplotlibのPyplotモジュールの読み込み
import matplotlib.pyplot as plt
# 日本語フォントの設定
from matplotlib.font_manager import FontProper... | code_fim | hard | {
"lang": "python",
"repo": "nakatsuma/python_for_bayes",
"path": "/python/pybayes_invgamma_t.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def build(
self,
learning_rate_name: str,
step_name: str,
parameter_sequence_name: str,
gradient_sequence_name: str,
first_order_moment_sequence_name: str,
second_order_moment_sequence_name: str,
) -> str:
"""
Build an AdamW o... | code_fim | hard | {
"lang": "python",
"repo": "microsoft/onnxruntime",
"path": "/orttraining/orttraining/python/training/onnxblock/optim/optim.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: microsoft/onnxruntime path: /orttraining/orttraining/python/training/onnxblock/optim/optim.py
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
from typing import Dict, List, Optional, Tuple
import onnx
import onnxruntime.training.onnxblock._graph_ut... | code_fim | hard | {
"lang": "python",
"repo": "microsoft/onnxruntime",
"path": "/orttraining/orttraining/python/training/onnxblock/optim/optim.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> learning_rate_name = "learning_rate"
params_name = "params"
gradients_name = "gradients"
step_name = "step"
first_order_moments_name = "first_order_moments"
trainable_parameters, _ = parameters
onnx_model.graph.input.extend(
[
... | code_fim | hard | {
"lang": "python",
"repo": "microsoft/onnxruntime",
"path": "/orttraining/orttraining/python/training/onnxblock/optim/optim.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ukasiu/whiskerboard path: /board/tasks.py
import subprocess
from celery.decorators import task
from django.conf import settings
import requests
def http_checker(service):
"""GET on the provided URL. It should return a [2-4][0-9]{2}"""
verify_ssl = getattr(settings, 'VERIFY_SSL', True)
... | code_fim | medium | {
"lang": "python",
"repo": "ukasiu/whiskerboard",
"path": "/board/tasks.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>@task
def check_ping(service):
"""Should ping service.host"""
res = subprocess.call(('/bin/ping -c 5 -i 0.5 -w 5 %s' %
service.connection.hostname).split())
if res == 0:
service.update_status('Up', "ping okay")
else:
service.update_status('Down', "ping... | code_fim | hard | {
"lang": "python",
"repo": "ukasiu/whiskerboard",
"path": "/board/tasks.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
@task
def check_ping(service):
"""Should ping service.host"""
res = subprocess.call(('/bin/ping -c 5 -i 0.5 -w 5 %s' %
service.connection.hostname).split())
if res == 0:
service.update_status('Up', "ping okay")
else:
service.update_status('Down', "pin... | code_fim | medium | {
"lang": "python",
"repo": "ukasiu/whiskerboard",
"path": "/board/tasks.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: W-analyser/us-financial-accounts-backend path: /models.py
from django.db import models
# Create your models here.
class DataTable(models.Model):
table_code = models.CharField(max_length=100, unique=True)
class Symbol(models.Model):
symbol = models.CharField(max_length=100, blank=False)... | code_fim | medium | {
"lang": "python",
"repo": "W-analyser/us-financial-accounts-backend",
"path": "/models.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>class Entry(models.Model):
data = models.FloatField(null=True)
date = models.ForeignKey(Date, on_delete=models.CASCADE)
symbol = models.ForeignKey(Symbol, on_delete=models.CASCADE)<|fim_prefix|># repo: W-analyser/us-financial-accounts-backend path: /models.py
from django.db import models
# ... | code_fim | hard | {
"lang": "python",
"repo": "W-analyser/us-financial-accounts-backend",
"path": "/models.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: yjaeseok/super-mario-bros-dqn path: /test.py
import numpy as np
import torch
from core.constants import PRETRAINED_MODELS
from core.model import CNNDQN
from core.wrappers import wrap_environment
from os.path import join
<|fim_suffix|> total_reward = 0.0
state = env.reset()
while True:... | code_fim | hard | {
"lang": "python",
"repo": "yjaeseok/super-mario-bros-dqn",
"path": "/test.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> total_reward = 0.0
state = env.reset()
while True:
state_v = torch.tensor(np.array([state], copy=False))
q_vals = net(state_v).data.numpy()[0]
action = np.argmax(q_vals)
state, reward, done, info = env.step(action)
total_reward += reward
if info[... | code_fim | hard | {
"lang": "python",
"repo": "yjaeseok/super-mario-bros-dqn",
"path": "/test.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if text.isdigit():
total = long(text)
else:
if not text[0].isdigit():
raise BadTTL
total = long(0)
current = long(0)
for c in text:
if c.isdigit():
current *= 10
current += long(c)
else:
... | code_fim | hard | {
"lang": "python",
"repo": "elgatito/script.elementum.burst",
"path": "/resources/site-packages/dns/ttl.py",
"mode": "spm",
"license": "WTFPL",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: elgatito/script.elementum.burst path: /resources/site-packages/dns/ttl.py
# Copyright (C) 2003-2007, 2009-2011 Nominum, Inc.
#
# Permission to use, copy, modify, and distribute this software and its
# documentation for any purpose with or without fee is hereby granted,
# provided that the above c... | code_fim | medium | {
"lang": "python",
"repo": "elgatito/script.elementum.burst",
"path": "/resources/site-packages/dns/ttl.py",
"mode": "psm",
"license": "WTFPL",
"source": "the-stack-v2"
} |
<|fim_suffix|>mport *
from merger_models import Coalescent<|fim_prefix|># repo: hcdenbakker/treetime path: /treetime/__init__.py
from treeanc import TreeAnc
from treetime im<|fim_middle|>port TreeTime
from treetime import ttconf as treetime_conf
from gtr import GTR
from io i | code_fim | medium | {
"lang": "python",
"repo": "hcdenbakker/treetime",
"path": "/treetime/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hcdenbakker/treetime path: /treetime/__init__.py
from treeanc import TreeAnc
from treetime import TreeTime
from treetime import ttconf as<|fim_suffix|>mport *
from merger_models import Coalescent<|fim_middle|> treetime_conf
from gtr import GTR
from io i | code_fim | easy | {
"lang": "python",
"repo": "hcdenbakker/treetime",
"path": "/treetime/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hcdenbakker/treetime path: /treetime/__init__.py
from treeanc import TreeAnc
from treetime im<|fim_suffix|> treetime_conf
from gtr import GTR
from io import *
from merger_models import Coalescent<|fim_middle|>port TreeTime
from treetime import ttconf as | code_fim | easy | {
"lang": "python",
"repo": "hcdenbakker/treetime",
"path": "/treetime/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: alipay/alipay-sdk-python-all path: /alipay/aop/api/domain/ZolozIdentificationUserWebInitializeModel.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
from alipay.aop.api.domain.IdentityParam import IdentityParam
class ZolozIdentif... | code_fim | hard | {
"lang": "python",
"repo": "alipay/alipay-sdk-python-all",
"path": "/alipay/aop/api/domain/ZolozIdentificationUserWebInitializeModel.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def to_alipay_dict(self):
params = dict()
if self.biz_id:
if hasattr(self.biz_id, 'to_alipay_dict'):
params['biz_id'] = self.biz_id.to_alipay_dict()
else:
params['biz_id'] = self.biz_id
if self.extern_param:
if... | code_fim | hard | {
"lang": "python",
"repo": "alipay/alipay-sdk-python-all",
"path": "/alipay/aop/api/domain/ZolozIdentificationUserWebInitializeModel.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: fendouai/2018_mldm-deep_metric_learing path: /includes/anchor_positive_examples.py
# returns all euclidean distances for which either the labels are the same or the jaccard distance is below the positive threshold
def anchor_positive_examples(pw_label_equality, labels_in_batch, pw_jaccard_distanc... | code_fim | hard | {
"lang": "python",
"repo": "fendouai/2018_mldm-deep_metric_learing",
"path": "/includes/anchor_positive_examples.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # it's either an anchor-positive example because the jaccard distance is smaller than the threshold or because the labels are the same.
pos_because_of_labels = tf.logical_and(labels_in_batch, labels_match)
pos_because_of_jd = tf.logical_and(labels_not_in_batch, sequences_have_pos_jd)
pos... | code_fim | hard | {
"lang": "python",
"repo": "fendouai/2018_mldm-deep_metric_learing",
"path": "/includes/anchor_positive_examples.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # exclude example itself from positive / negative - euclidean distance to between two identical vectors should always be 0
positive_ed = tf.where(condition=pos_cond , x=pw_euclidean_distances, y=tf.ones_like(pw_euclidean_distances)*-1) # -1 means non positive
return positive_ed, pos_because_o... | code_fim | hard | {
"lang": "python",
"repo": "fendouai/2018_mldm-deep_metric_learing",
"path": "/includes/anchor_positive_examples.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class HyBeliefObserverationSpaceTEsts(unittest.TestCase):
@timer
def test_belief_observer_observation_space(self):
params = ParameterServer(
filename="configuration/params/iqn_params.json")
splits = 8
params_behavior = ParameterServer(
filename="co... | code_fim | medium | {
"lang": "python",
"repo": "eeshakumar/hythe",
"path": "/configuration/test/test_belief_observation_space.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: eeshakumar/hythe path: /configuration/test/test_belief_observation_space.py
import numpy as np
import os
import unittest
from bark.runtime.viewer.matplotlib_viewer import MPViewer
from bark.runtime.commons.parameters import ParameterServer
from hythe.libs.observer.belief_observer import BeliefOb... | code_fim | hard | {
"lang": "python",
"repo": "eeshakumar/hythe",
"path": "/configuration/test/test_belief_observation_space.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: laurisag/chat_socket.py path: /server.py
import socket
s = socket.socket() #servidor
HOST = socket.gethostname()
PORT = 8080
<|fim_suffix|>while 1:
message = input(str('>>')) #input para escribir mensaje
message = message.encode() #codificamos el mensaje para que le aparezca al ... | code_fim | hard | {
"lang": "python",
"repo": "laurisag/chat_socket.py",
"path": "/server.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>while 1:
message = input(str('>>')) #input para escribir mensaje
message = message.encode() #codificamos el mensaje para que le aparezca al cliente
connection.send(message)
print('Mensaje enviado')
recv_message = connection.recv(1024) #recv_mensaje = recibir mensaje
print('Cl... | code_fim | hard | {
"lang": "python",
"repo": "laurisag/chat_socket.py",
"path": "/server.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Starts ENERPI Logger
if args.enerpi:
from enerpi.enerpimeter import enerpi_logger
# Demo logger
if args.demo:
set_logging_conf(FILE_LOGGING + '_demo.log', LOGGING_LEVEL, True)
path_st = os.path.join(DATA_PATH, 'debug_bu... | code_fim | hard | {
"lang": "python",
"repo": "d1aboilik/enerpi",
"path": "/enerpi/command_enerpi.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: d1aboilik/enerpi path: /enerpi/command_enerpi.py
nargs='?', type=int, metavar='∆T', const=60,
help='⚡ SET Timeout to finish execution automatically')
g_m.add_argument('--raw', type=int, action='store', nargs='?', const=5, metavar='∆T',
help='☮ SET RA... | code_fim | hard | {
"lang": "python",
"repo": "d1aboilik/enerpi",
"path": "/enerpi/command_enerpi.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: d1aboilik/enerpi path: /enerpi/command_enerpi.py
on='store', default=UDP_PORT, metavar='XX',
help='⚡ SET Broadcast Receiver PORT')
g_m.add_argument('-d', '--demo', action='store_true', help='☮ SET Demo Mode (broadcast random values)')
g_m.add_argument('--timeout', ac... | code_fim | hard | {
"lang": "python",
"repo": "d1aboilik/enerpi",
"path": "/enerpi/command_enerpi.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> Common.start_all()
logging.info("started all")
counter = 0
up2date = False
cli = Common.get_client ()
while not up2date and counter < max_wait :
time.sleep( 1.0 )
counter += 1
up2date = cli.expectProgressPossible()
... | code_fim | hard | {
"lang": "python",
"repo": "Incubaid/arakoon",
"path": "/pylabs/test/server/right/test_catchup_exercises.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Incubaid/arakoon path: /pylabs/test/server/right/test_catchup_exercises.py
"""
Copyright (2010-2014) INCUBAID BVBA
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://... | code_fim | hard | {
"lang": "python",
"repo": "Incubaid/arakoon",
"path": "/pylabs/test/server/right/test_catchup_exercises.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Kami/python-yubico-client path: /yubico_client/__init__.py
# -*- coding: utf-8 -*-
#
# Name: Yubico Python Client
# Description: Python class for verifying Yubico One Time Passwords (OTPs).
#
# Author: Tomaz Muraus (http://www.tomaz.me)
# License: BSD
#
# Copyright (c) 2010-2019, Tomaž Muraus
# C... | code_fim | easy | {
"lang": "python",
"repo": "Kami/python-yubico-client",
"path": "/yubico_client/__init__.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>__version__ = (1, 13, 0)
# pylint: disable=cyclic-import
from yubico_client.yubico import Yubico<|fim_prefix|># repo: Kami/python-yubico-client path: /yubico_client/__init__.py
# -*- coding: utf-8 -*-
#
# Name: Yubico Python Client
# Description: Python class for verifying Yubico One Time Passwords (OTP... | code_fim | easy | {
"lang": "python",
"repo": "Kami/python-yubico-client",
"path": "/yubico_client/__init__.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: open-mmlab/mmcv path: /mmcv/ops/deform_roi_pool.py
# Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional, Tuple
from torch import Tensor, nn
from torch.autograd import Function
from torch.autograd.function import once_differentiable
from torch.nn.modules.utils import _pair
... | code_fim | hard | {
"lang": "python",
"repo": "open-mmlab/mmcv",
"path": "/mmcv/ops/deform_roi_pool.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> output_size: Tuple[int, ...],
output_channels: int,
deform_fc_channels: int = 1024,
spatial_scale: float = 1.0,
sampling_ratio: int = 0,
gamma: float = 0.1):
super().__init__(output_size, spatial_... | code_fim | hard | {
"lang": "python",
"repo": "open-mmlab/mmcv",
"path": "/mmcv/ops/deform_roi_pool.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|># # Figure 19-11 on page 426
# times = get_BM_data('bm_results2012.csv')['time']
# mean_of_means, std_of_means = [], []
# sample_sizes = range(100, 1501, 200)
# for sample_size in sample_sizes:
# sample_means = []
# for t in range(200):
# sample = random.sample(times, sample_size)
# ... | code_fim | hard | {
"lang": "python",
"repo": "jinjiaacademy/Intro-to-Computation-and-Programming",
"path": "/code/chapter 19/chapter19.py",
"mode": "spm",
"license": "CC0-1.0",
"source": "the-stack-v2"
} |
<|fim_suffix|># # Figure 19-6 on page 419
# def gaussian(x, mu, sigma):
# factor1 = (1/(sigma*((2*np.pi)**0.5)))
# factor2 = np.e**-(((x-mu)**2)/(2*sigma**2))
# return factor1*factor2
# area = round(scipy.integrate.quad(gaussian, -3, 3, (0, 1))[0], 4)
# print('Probability of being within 3',
# 'of tr... | code_fim | hard | {
"lang": "python",
"repo": "jinjiaacademy/Intro-to-Computation-and-Programming",
"path": "/code/chapter 19/chapter19.py",
"mode": "spm",
"license": "CC0-1.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jinjiaacademy/Intro-to-Computation-and-Programming path: /code/chapter 19/chapter19.py
# -*- coding: utf-8 -*-
import random
import numpy as np
import matplotlib.pyplot as plt
import scipy
#set line width
plt.rcParams['lines.linewidth'] = 4
#set font size for titles
plt.rcParams['axes.titlesiz... | code_fim | hard | {
"lang": "python",
"repo": "jinjiaacademy/Intro-to-Computation-and-Programming",
"path": "/code/chapter 19/chapter19.py",
"mode": "psm",
"license": "CC0-1.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: upfront710/yardstick path: /yardstick/tests/unit/benchmark/scenarios/lib/test_delete_router_interface.py
##############################################################################
# Copyright (c) 2017 Huawei Technologies Co.,Ltd and others.
#
# All rights reserved. This program and the accomp... | code_fim | medium | {
"lang": "python",
"repo": "upfront710/yardstick",
"path": "/yardstick/tests/unit/benchmark/scenarios/lib/test_delete_router_interface.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.mock_remove_router_interface.return_value = False
with self.assertRaises(exceptions.ScenarioRemoveRouterIntError):
self.delrout_obj.run(self.result)
self.assertEqual({"delete_router_interface": 0}, self.result)
self.mock_log.error.assert_called_once_with(
... | code_fim | hard | {
"lang": "python",
"repo": "upfront710/yardstick",
"path": "/yardstick/tests/unit/benchmark/scenarios/lib/test_delete_router_interface.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dubreuia/alexandredubreuil.com path: /conferences/midi-visualization-with-visual-midi/code/example-01.py
from pretty_midi import PrettyMIDI
from visual_midi import Plotter
<|fim_suffix|># Plot the result using VisualMidi
plotter = Plotter()
plotter.show(pm, "/tmp/example-01.html")<|fim_middle|>#... | code_fim | hard | {
"lang": "python",
"repo": "dubreuia/alexandredubreuil.com",
"path": "/conferences/midi-visualization-with-visual-midi/code/example-01.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># Plot the result using VisualMidi
plotter = Plotter()
plotter.show(pm, "/tmp/example-01.html")<|fim_prefix|># repo: dubreuia/alexandredubreuil.com path: /conferences/midi-visualization-with-visual-midi/code/example-01.py
from pretty_midi import PrettyMIDI
from visual_midi import Plotter
<|fim_middle|>#... | code_fim | hard | {
"lang": "python",
"repo": "dubreuia/alexandredubreuil.com",
"path": "/conferences/midi-visualization-with-visual-midi/code/example-01.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: glebite/Themista path: /tests/test_themista_execution.py
""" test_themista_exeution.py """
import pytest
# TODO: hack solution - need to fix later
import sys
sys.path.append('themista')
from themista.themista import Themista
<|fim_suffix|>@pytest.mark.test_id(2)
def test_simple_argument():
t... | code_fim | hard | {
"lang": "python",
"repo": "glebite/Themista",
"path": "/tests/test_themista_execution.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>@pytest.mark.test_id(2)
def test_simple_argument():
try:
access_obj = Themista()
access_obj.main('http://www.practiceselenium.com/')
assert True
except Exception as e:
assert False<|fim_prefix|># repo: glebite/Themista path: /tests/test_themista_execution.py
""" te... | code_fim | hard | {
"lang": "python",
"repo": "glebite/Themista",
"path": "/tests/test_themista_execution.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> try:
access_obj = Themista()
access_obj.main('http://www.practiceselenium.com/')
assert True
except Exception as e:
assert False<|fim_prefix|># repo: glebite/Themista path: /tests/test_themista_execution.py
""" test_themista_exeution.py """
import pytest
# TODO: ha... | code_fim | hard | {
"lang": "python",
"repo": "glebite/Themista",
"path": "/tests/test_themista_execution.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dssg/mlpolicylab_fall20_schools3_public path: /schools3/config/data/features/inv_features_config.py
import sys
from schools3.config import base_config
<|fim_suffix|>sys.modules[__name__] = config<|fim_middle|>
config = base_config.Config()
config.categorical_columns = []
| code_fim | medium | {
"lang": "python",
"repo": "dssg/mlpolicylab_fall20_schools3_public",
"path": "/schools3/config/data/features/inv_features_config.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>sys.modules[__name__] = config<|fim_prefix|># repo: dssg/mlpolicylab_fall20_schools3_public path: /schools3/config/data/features/inv_features_config.py
import sys
from schools3.config import base_config
<|fim_middle|>config = base_config.Config()
config.categorical_columns = []
| code_fim | medium | {
"lang": "python",
"repo": "dssg/mlpolicylab_fall20_schools3_public",
"path": "/schools3/config/data/features/inv_features_config.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mattbriggs/single-source-modules path: /scripts/create_context.py
import json
import pystache as ST
import common_utilities as CU
with open(r"C:\git\mb\single-source-modules\source\contextdata.json", 'r') as json_file:
full_context = json.load(json_file)
<|fim_suffix|>for context in context... | code_fim | medium | {
"lang": "python",
"repo": "mattbriggs/single-source-modules",
"path": "/scripts/create_context.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>contexts = ["asdk", "ash", "mdc"]
for context in contexts:
for path in source_files:
file_name = path.split("\\")[-1]
template = CU.get_text_from_file(path)
context_dict = {}
for term in full_context.keys():
context_dict[term] = full_context[term][context]
... | code_fim | medium | {
"lang": "python",
"repo": "mattbriggs/single-source-modules",
"path": "/scripts/create_context.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>for context in contexts:
for path in source_files:
file_name = path.split("\\")[-1]
template = CU.get_text_from_file(path)
context_dict = {}
for term in full_context.keys():
context_dict[term] = full_context[term][context]
context_dict[context] = Tru... | code_fim | medium | {
"lang": "python",
"repo": "mattbriggs/single-source-modules",
"path": "/scripts/create_context.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>e = info[1].replace('[ ', '').replace(' ]', '')
# weird exception
if "DEMISE" in date:
date = info[2].replace('[ ', '').replace(' ]', '')
articles['Date'].append(date)
articles['TEXT'].append(text.replace('\n\n', ''))
# return information
return articles... | code_fim | hard | {
"lang": "python",
"repo": "akvallapuram/RelXTract",
"path": "/read_dossier.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: akvallapuram/RelXTract path: /read_dossier.py
# read the input.txt
def read_dossier():
# store information
articles = {'Authors': [], 'Date': [], 'SOURCE': [], 'TEXT': []}
# open file
dossier = open('Steele_dossier.txt', 'r',
encoding='ascii', errors='ignore').r... | code_fim | hard | {
"lang": "python",
"repo": "akvallapuram/RelXTract",
"path": "/read_dossier.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Kyuunex/DiscordLinuxGoLiveAudioWorkaroundBot path: /go-live-bot-slash.py
#!/usr/bin/env python3
import discord
import sys
import os
# This version is only tested on Py-cord. When discord.py devs decided to shut down the project,
# I moved the project to Py-cord, and got the slash commands somewh... | code_fim | hard | {
"lang": "python",
"repo": "Kyuunex/DiscordLinuxGoLiveAudioWorkaroundBot",
"path": "/go-live-bot-slash.py",
"mode": "psm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_suffix|>@bot.slash_command()
async def join(ctx, channel_id=None):
if not int(ctx.author.id) in owner_list:
return
target_channel = None
if channel_id:
target_channel = bot.get_channel(int(channel_id))
if not target_channel:
await ctx.respond("can't find a channel... | code_fim | hard | {
"lang": "python",
"repo": "Kyuunex/DiscordLinuxGoLiveAudioWorkaroundBot",
"path": "/go-live-bot-slash.py",
"mode": "spm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Forita/Coding path: /Python/reverse-words-in-a-string.py
from __future__ import print_function
# O(n) runtime, O(n) space.
# Given an input string, reverse the string word by word.
# For example,
# Given s = "the sky is blue",
# return "blue is sky the".
class Solution(object):
<|fim_suffix|>if... | code_fim | medium | {
"lang": "python",
"repo": "Forita/Coding",
"path": "/Python/reverse-words-in-a-string.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
:type s: str
:rtype: str
"""
return ' '.join(reversed(s.split()))
if __name__ == '__main__':
print(Solution().reverseWords('the sky is blue'))<|fim_prefix|># repo: Forita/Coding path: /Python/reverse-words-in-a-string.py
from __future__ import print_fu... | code_fim | easy | {
"lang": "python",
"repo": "Forita/Coding",
"path": "/Python/reverse-words-in-a-string.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>if __name__ == '__main__':
print(Solution().reverseWords('the sky is blue'))<|fim_prefix|># repo: Forita/Coding path: /Python/reverse-words-in-a-string.py
from __future__ import print_function
# O(n) runtime, O(n) space.
# Given an input string, reverse the string word by word.
# For example,
# Give... | code_fim | medium | {
"lang": "python",
"repo": "Forita/Coding",
"path": "/Python/reverse-words-in-a-string.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: seanwu1105/pso-car path: /pso_car/gui/error_linechart.py
from PySide2.QtGui import QPainter
from PySide2.QtWidgets import QVBoxLayout, QFrame
from PySide2.QtCharts import QtCharts
class ErrorLineChart(QFrame):
def __init__(self, nseries=1, series_names=None):
super().__init__()
... | code_fim | hard | {
"lang": "python",
"repo": "seanwu1105/pso-car",
"path": "/pso_car/gui/error_linechart.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def clear(self):
self.chart.removeAllSeries()
self.serieses = [QtCharts.QLineSeries() for _ in range(self.nseries)]
for idx, series in enumerate(self.serieses):
self.chart.addSeries(series)
if self.series_names is not None:
series.setName... | code_fim | hard | {
"lang": "python",
"repo": "seanwu1105/pso-car",
"path": "/pso_car/gui/error_linechart.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> title_and_y_axis(displayParam, strUnit, txtEvol, txtField,
"{} {}\n (Source: Johns Hopkins University)")
name = file_name(figures_path, "{}_phase_diagram_Covid19_{}_{}_for_{}.png",
txtEvol, txtField, zone)
displayParam['FileName'] = name
return di... | code_fim | hard | {
"lang": "python",
"repo": "geoffroychaussonnet/script_to_monitor_Covid19",
"path": "/plot_phase_portrait.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Path to the folder containing the time series:
data_path="https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/"
figures_path = "../FIGURES"
start_date = dt.date(2020, 1,1) # Start date of the plot:
yscale = 'linear' # rec... | code_fim | hard | {
"lang": "python",
"repo": "geoffroychaussonnet/script_to_monitor_Covid19",
"path": "/plot_phase_portrait.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: geoffroychaussonnet/script_to_monitor_Covid19 path: /plot_phase_portrait.py
# Author: Geoffroy Chaussonnet, Karlsruhe Institute of Technology, Germany
# Script to load the data related to the COVID-19 gathered by the Johns Hopkins University and to plot the phase diagram of the confirmed cases or... | code_fim | hard | {
"lang": "python",
"repo": "geoffroychaussonnet/script_to_monitor_Covid19",
"path": "/plot_phase_portrait.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: andregtorres/ISTTOK path: /shieldingfilterPrim.py
#Andre Torres - 27/07/2018
#computes horizontal and vertical displacement from the mirnovs
from getMirnov import *
import scipy.signal as signal
from scipy.optimize import *
from filters import CSfilter
#43066 e 43063
shotnr=43066;
#Coil signal... | code_fim | hard | {
"lang": "python",
"repo": "andregtorres/ISTTOK",
"path": "/shieldingfilterPrim.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> #FIT
popt, pcov = curve_fit(exponential, times[slice_start:slice_end], coil[slice_start:slice_end], p0=guessM[coilNr-1], maxfev=50000) #guessM[coilNr-1]
#Calculate R squared
residuals = coil[slice_start:slice_end] - exponential(times[slice_start:slice_end], *popt)
#Sum of the residual... | code_fim | hard | {
"lang": "python",
"repo": "andregtorres/ISTTOK",
"path": "/shieldingfilterPrim.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: frasanz/Swarm-Surveys path: /app/models.py
tion,'value')
value.text = str(self.value)
return condition
@staticmethod
def from_xml(root,question,msg):
operation = findField('operation',root,msg)
value = findField('value',root,msg)
condition = Condi... | code_fim | hard | {
"lang": "python",
"repo": "frasanz/Swarm-Surveys",
"path": "/app/models.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __init__(self, **kwargs):
super(StateSurvey, self).__init__(**kwargs)
sections = Section.query.filter(Section.survey== self.survey).order_by(Section.sequence)
list = Section.sequenceSections(sections)
# to load test
if current_app.config.get('JMETER',False):... | code_fim | hard | {
"lang": "python",
"repo": "frasanz/Swarm-Surveys",
"path": "/app/models.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> for children in self.children:
section.append(children.to_xml())
return section
@staticmethod
def from_xml(root,survey,msg):
def from_xml_subSection(root,parent,msg):
title = findField('title',root,msg)
description = findField('descrip... | code_fim | hard | {
"lang": "python",
"repo": "frasanz/Swarm-Surveys",
"path": "/app/models.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cheind/pytorch-blender path: /pkg_blender/blendtorch/btb/utils.py
import bpy
import numpy as np
from mathutils import Vector
def find_first_view3d():
"""Helper function to find first space view 3d and associated window region.
The three returned objects are useful for setting up offscr... | code_fim | hard | {
"lang": "python",
"repo": "cheind/pytorch-blender",
"path": "/pkg_blender/blendtorch/btb/utils.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def compute_object_visibility(obj, cam, N=25, scene=None, view_layer=None, dist=None):
"""Computes object visibility using Monte Carlo ray-tracing."""
scene = scene or bpy.context.scene
vl = view_layer or bpy.context.view_layer
src = cam.bpy_camera.matrix_world.translation
dist = dist ... | code_fim | hard | {
"lang": "python",
"repo": "cheind/pytorch-blender",
"path": "/pkg_blender/blendtorch/btb/utils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
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