text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_suffix|>fn_y0s = os.path.join('.', 'rc3_body_y0s.p')
print('Testing Restricted Circular 3 Body Model')
alphas = [.7, .75, .8, .85, .9, .98]
#alphas = [.7, .8]
Ns = [1, 3, 5, 10, 20, 30, 40, 50, 60, 70, 80, 90, 100, 150, 200, 300]
#Ns = [3]
T0s = [50, 100, 150, 200, 300, 500]
#T0s = [30]
params = list(itertools.pr... | code_fim | medium | {
"lang": "python",
"repo": "lkwilson/Honors-Thesis",
"path": "/doc/paper/scripts/AnalyzeR3BodyProb.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> @add_classmethod(Class, override=True)
def fun(cls):
return False
assert(hasattr(Class, 'fun'))
assert(not Class.fun())<|fim_prefix|># repo: yhtang/GraphDot path: /test/util/test_util.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import pytest
from graphdot.util import add_cla... | code_fim | hard | {
"lang": "python",
"repo": "yhtang/GraphDot",
"path": "/test/util/test_util.py",
"mode": "spm",
"license": "BSD-3-Clause-LBNL",
"source": "the-stack-v2"
} |
<|fim_suffix|> return False
@add_classmethod(Class, override=True)
def fun(cls):
return False
assert(hasattr(Class, 'fun'))
assert(not Class.fun())<|fim_prefix|># repo: yhtang/GraphDot path: /test/util/test_util.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import pytest
from gr... | code_fim | hard | {
"lang": "python",
"repo": "yhtang/GraphDot",
"path": "/test/util/test_util.py",
"mode": "spm",
"license": "BSD-3-Clause-LBNL",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: yhtang/GraphDot path: /test/util/test_util.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import pytest
from graphdot.util import add_classmethod
def test_add_classmethod():
<|fim_suffix|> return False
assert(hasattr(Class, 'fun'))
assert(not Class.fun())<|fim_middle|> clas... | code_fim | hard | {
"lang": "python",
"repo": "yhtang/GraphDot",
"path": "/test/util/test_util.py",
"mode": "psm",
"license": "BSD-3-Clause-LBNL",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jphacks/NG_1802 path: /src/kernel/RecipeSelecter.py
import find_cook
import random
def selectRecipe(cook_name):
fc = find_cook.find_cook(cook_name)
fc_material = fc.get_material()
fc_recipe = fc.get_recipe()
<|fim_suffix|>#selectRecipe("おむらいす")
#selectRecipe("ぱすた")
#selectRecipe("は... | code_fim | hard | {
"lang": "python",
"repo": "jphacks/NG_1802",
"path": "/src/kernel/RecipeSelecter.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>#selectRecipe("おむらいす")
#selectRecipe("ぱすた")
#selectRecipe("はんばーぐ")
#selectRecipe("おこのみやき")<|fim_prefix|># repo: jphacks/NG_1802 path: /src/kernel/RecipeSelecter.py
import find_cook
import random
def selectRecipe(cook_name):
fc = find_cook.find_cook(cook_name)
fc_material = fc.get_material()
... | code_fim | hard | {
"lang": "python",
"repo": "jphacks/NG_1802",
"path": "/src/kernel/RecipeSelecter.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Cheukting/emoprint path: /emoprint/nlp_emoprint.py
import builtins
from .pick_emoji import pick_emoji
import sys
<|fim_suffix|> pricked = pick_emoji(str(*objects))
builtins.print(*objects, pricked)<|fim_middle|>def print(*objects, sep=' ', end='\n', file=sys.stdout, flush=False):
| code_fim | medium | {
"lang": "python",
"repo": "Cheukting/emoprint",
"path": "/emoprint/nlp_emoprint.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> pricked = pick_emoji(str(*objects))
builtins.print(*objects, pricked)<|fim_prefix|># repo: Cheukting/emoprint path: /emoprint/nlp_emoprint.py
import builtins
from .pick_emoji import pick_emoji
import sys
<|fim_middle|>
def print(*objects, sep=' ', end='\n', file=sys.stdout, flush=False):
| code_fim | medium | {
"lang": "python",
"repo": "Cheukting/emoprint",
"path": "/emoprint/nlp_emoprint.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> dependencies = [
('grapher_admin', '0043_auto_20180310_1846'),
]
operations = [
migrations.AlterField(
model_name='variable',
name='datasetId',
field=models.ForeignKey(db_column='datasetId', on_delete=django.db.models.deletion.CASCADE, to='g... | code_fim | medium | {
"lang": "python",
"repo": "owid/owid-importer",
"path": "/grapher_admin/migrations/0044_auto_20180310_1851.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: owid/owid-importer path: /grapher_admin/migrations/0044_auto_20180310_1851.py
# -*- coding: utf-8 -*-
# Generated by Django 1.11 on 2018-03-10 18:51
from __future__ import unicode_literals
<|fim_suffix|>
dependencies = [
('grapher_admin', '0043_auto_20180310_1846'),
]
operat... | code_fim | medium | {
"lang": "python",
"repo": "owid/owid-importer",
"path": "/grapher_admin/migrations/0044_auto_20180310_1851.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ComputerNetworks-UFRGS/OpERA path: /python/utils/__init__.py
from channel import Channel
from channel import ChannelModeler
from channel import ChannelThread
from logger import Logger
<|fim_suffix|>from rpcProxy import RPCExporter
from rpcProxy import RPCImporter
from verify import Verify<... | code_fim | medium | {
"lang": "python",
"repo": "ComputerNetworks-UFRGS/OpERA",
"path": "/python/utils/__init__.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>from rpcProxy import RPCExporter
from rpcProxy import RPCImporter
from verify import Verify<|fim_prefix|># repo: ComputerNetworks-UFRGS/OpERA path: /python/utils/__init__.py
from channel import Channel
from channel import ChannelModeler
from channel import ChannelThread
from logger import Logger
<... | code_fim | medium | {
"lang": "python",
"repo": "ComputerNetworks-UFRGS/OpERA",
"path": "/python/utils/__init__.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: quantamc/EmokitVisualizer path: /UI/HeadStatusWidget.py
# !/usr/bin/python
# -*- coding: utf-8 -*-
from PySide.QtGui import *
from PySide.QtCore import Qt
class HeadStatusWidget(QWidget):
def __init__(self, callback, parent=None):
super(HeadStatusWidget, self).__init__(parent)
... | code_fim | hard | {
"lang": "python",
"repo": "quantamc/EmokitVisualizer",
"path": "/UI/HeadStatusWidget.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def updateHeadsetStatus(self, packet):
painter = QPainter()
if painter.begin(self.pixmap):
painter.setFont(QFont('Decorative', 12))
for key in self.electrodesPosition:
if key[0] == "O":
painter.drawText(self.electrodesPosition... | code_fim | hard | {
"lang": "python",
"repo": "quantamc/EmokitVisualizer",
"path": "/UI/HeadStatusWidget.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>ibo.models.grover import Grover
from qibo.models import hep<|fim_prefix|># repo: ZDQpeter/qibo path: /src/qibo/models/__init__.py
from qibo.models.circuit import Circuit, QFT
from qibo.models.evolution import StateEvolution, AdiabaticEvolution
fr<|fim_middle|>om qibo.models.variational import VQE, QAOA, ... | code_fim | easy | {
"lang": "python",
"repo": "ZDQpeter/qibo",
"path": "/src/qibo/models/__init__.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ZDQpeter/qibo path: /src/qibo/models/__init__.py
from qibo.models.circuit import Circuit, QFT
from qibo.mod<|fim_suffix|>ibo.models.grover import Grover
from qibo.models import hep<|fim_middle|>els.evolution import StateEvolution, AdiabaticEvolution
from qibo.models.variational import VQE, QAOA, ... | code_fim | medium | {
"lang": "python",
"repo": "ZDQpeter/qibo",
"path": "/src/qibo/models/__init__.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jmg217/python_projects path: /goodreads-0.2.4/books.py
#!/usr/bin/env python
ok = gc.book(1)
<|fim_suffix|>#zLjmPasPHRHG4c5yxielBhwJUtGigbXPrwiAqzmJU<|fim_middle|>from goodreads import client
gc = client.GoodreadsClient('HoaoSehpdXTpNVZs6v6hg', 'zLjmPasPHRHG4c5yxielBhwJUtGigbXPrwiAqzmJU')
book ... | code_fim | medium | {
"lang": "python",
"repo": "jmg217/python_projects",
"path": "/goodreads-0.2.4/books.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>#zLjmPasPHRHG4c5yxielBhwJUtGigbXPrwiAqzmJU<|fim_prefix|># repo: jmg217/python_projects path: /goodreads-0.2.4/books.py
#!/usr/bin/env python
ok = gc.book(1)
from goodreads import client
<|fim_middle|>gc = client.GoodreadsClient('HoaoSehpdXTpNVZs6v6hg', 'zLjmPasPHRHG4c5yxielBhwJUtGigbXPrwiAqzmJU')
book ... | code_fim | medium | {
"lang": "python",
"repo": "jmg217/python_projects",
"path": "/goodreads-0.2.4/books.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jmg217/python_projects path: /goodreads-0.2.4/books.py
#!/usr/bin/env python
ok = gc.book(1)
from goodreads import client
<|fim_suffix|>#zLjmPasPHRHG4c5yxielBhwJUtGigbXPrwiAqzmJU<|fim_middle|>gc = client.GoodreadsClient('HoaoSehpdXTpNVZs6v6hg', 'zLjmPasPHRHG4c5yxielBhwJUtGigbXPrwiAqzmJU')
book ... | code_fim | medium | {
"lang": "python",
"repo": "jmg217/python_projects",
"path": "/goodreads-0.2.4/books.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: shenganzhang/cloudnetpy path: /cloudnetpy/instruments/ceilometer.py
from typing import Tuple, Optional
import numpy as np
import numpy.ma as ma
import scipy.ndimage
from cloudnetpy import utils
class Ceilometer:
"""Base class for all types of ceilometers."""
def __init__(self, full_pat... | code_fim | hard | {
"lang": "python",
"repo": "shenganzhang/cloudnetpy",
"path": "/cloudnetpy/instruments/ceilometer.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return array * self.range_squared
def _calc_sigma_units(time_vector: list, range_los: np.ndarray) -> Tuple[float, float]:
"""Calculates Gaussian peak std parameters.
The amount of smoothing is hard coded. This function calculates
how many steps in time and height corresponds to this... | code_fim | hard | {
"lang": "python",
"repo": "shenganzhang/cloudnetpy",
"path": "/cloudnetpy/instruments/ceilometer.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> query = "SELECT "
i = 0
length = len(columns)
while length - 1 > i:
query += columns[i] + ", "
i += 1
query += columns[i] + " FROM " + table
if where_columns is None:
query += ";"
else:
length = len(whe... | code_fim | hard | {
"lang": "python",
"repo": "grupo-2-diseno-web/flask-cachimbogo",
"path": "/Querys/query.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> try:
with self.get_cursor() as cursor:
if where_values is None:
cursor.execute(join_query)
else:
cursor.execute(join_query, where_values)
data = cursor.fetchall()
return data
... | code_fim | hard | {
"lang": "python",
"repo": "grupo-2-diseno-web/flask-cachimbogo",
"path": "/Querys/query.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: grupo-2-diseno-web/flask-cachimbogo path: /Querys/query.py
from DB.connection import Connection
from pymysql import Error
class Query(object):
def get_cursor(self):
return Connection.mysql.get_db().cursor()
def get_connection(self):
return Connection.mysql.get_db()
... | code_fim | hard | {
"lang": "python",
"repo": "grupo-2-diseno-web/flask-cachimbogo",
"path": "/Querys/query.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: metric-python/metric path: /metric/database/error.py
from sqlalchemy.exc import SQLAlchemyError
class BaseError(Exception):
pass
class AddQueryInvalid(Exception):
def __init__(self, exception, message="Parameter Add condition is invalid"):
self.message = message
self.e... | code_fim | hard | {
"lang": "python",
"repo": "metric-python/metric",
"path": "/metric/database/error.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class DataValueInvalid(BaseError):
def __init__(self, exception, message="Invalid value data given"):
self.message = message
self.exception = exception
super().__init__(self.message)
def __str__(self):
return f'{self.message}: {self.exception}'
class NoneTypeVal... | code_fim | medium | {
"lang": "python",
"repo": "metric-python/metric",
"path": "/metric/database/error.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>class DataValueInvalid(BaseError):
def __init__(self, exception, message="Invalid value data given"):
self.message = message
self.exception = exception
super().__init__(self.message)
def __str__(self):
return f'{self.message}: {self.exception}'
class NoneTypeValu... | code_fim | medium | {
"lang": "python",
"repo": "metric-python/metric",
"path": "/metric/database/error.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: NiclasEriksen/py-towerwars path: /src/grid.py
from main import pypf
import subprocess
from functions import get_neighbors
from main import logger
class Grid:
'The main grid constructor'
def __init__(self, game):
self.t_grid = []
self.w_grid = []
self.fullgrid =... | code_fim | hard | {
"lang": "python",
"repo": "NiclasEriksen/py-towerwars",
"path": "/src/grid.py",
"mode": "psm",
"license": "CC0-1.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def getPath(self, start, flying=False):
if flying:
if not self.flying_path:
logger.debug("Generating flying path")
path, success = pypf.get_path(
self.f_grid, self.f_grid,
start, self.goal
... | code_fim | hard | {
"lang": "python",
"repo": "NiclasEriksen/py-towerwars",
"path": "/src/grid.py",
"mode": "spm",
"license": "CC0-1.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> if new == "update":
# x1, y1 = str(self.start[0]), str(self.start[1])
# x2, y2 = str(self.goal[0]), str(self.goal[1])
# subprocess.call(["./genpath", x1, y1, x2, y2])
# points = self.importGrid()
# self.path = points
newpath =... | code_fim | hard | {
"lang": "python",
"repo": "NiclasEriksen/py-towerwars",
"path": "/src/grid.py",
"mode": "spm",
"license": "CC0-1.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Nyxaoc/plydata path: /plydata/utils.py
from contextlib import contextmanager
from .eval import EvalEnvironment
def hasattrs(obj, names):
"""
Return True of obj has all the names attributes
"""
return all(hasattr(obj, attr) for attr in names)
@contextmanager
def temporary_key(... | code_fim | hard | {
"lang": "python",
"repo": "Nyxaoc/plydata",
"path": "/plydata/utils.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> The dictionary will hold the key for the duration of
the context.
Parameters
----------
obj : object
Object onto which to add a temporary attribute.
name : str
Name of attribute to add to ``obj``.
value : object
Value of ``attr``.
"""
setattr(ob... | code_fim | hard | {
"lang": "python",
"repo": "Nyxaoc/plydata",
"path": "/plydata/utils.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> >>> df >> define(y='class+1')
Traceback (most recent call last):
File "<string>", line 1
class+1
^
SyntaxError: invalid syntax
>>> df >> define(y='Q("class")+1')
class y
0 10 11
1 20 21
2 30 31
Note that it is ``'Q("some n... | code_fim | hard | {
"lang": "python",
"repo": "Nyxaoc/plydata",
"path": "/plydata/utils.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: daleal/queue path: /counter.py
"""
This module includes every model used inside the API to model the counter.
"""
from app import app, db
class Counter(db.Model):
<|fim_suffix|> def get(self):
"""Returns the counter."""
return self.counter
def increment(self):
"... | code_fim | hard | {
"lang": "python",
"repo": "daleal/queue",
"path": "/counter.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def get(self):
"""Returns the counter."""
return self.counter
def increment(self):
"""Increments the counter."""
self.counter += 1
def reset(self):
"""Resets the counter."""
self.counter = 1
def __repr__(self):
return f"<Counter - ... | code_fim | medium | {
"lang": "python",
"repo": "daleal/queue",
"path": "/counter.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mdehezclementi/libpolycrypto path: /scripts/linux/plot-threshsig.py
#!/usr/bin/env python2.7
import matplotlib.pyplot as plt
import matplotlib.ticker as plticker
from cycler import cycler
import pandas
import sys
import time
import numpy as np
setTitle=False
if len(sys.argv) < 5:
print "Us... | code_fim | hard | {
"lang": "python",
"repo": "mdehezclementi/libpolycrypto",
"path": "/scripts/linux/plot-threshsig.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># recompute total, just to be safe
csv_data.total_usec = csv_data.lagr_usec + csv_data.multiexp_usec
csv_data.lagr_usec /= 1000*1000 # microsecs to secs
csv_data.multiexp_usec /= 1000*1000 # microsecs to secs
csv_data.total_usec /= 1000*1000 # microsecs to secs
#SMALL_SIZE = 10
MEDIUM_SIZE = ... | code_fim | hard | {
"lang": "python",
"repo": "mdehezclementi/libpolycrypto",
"path": "/scripts/linux/plot-threshsig.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>if is_paper_plot:
csv_data.interpolation_method.replace('fft-eval', 'Fast Lagrange', inplace=True)
csv_data.interpolation_method.replace('naive-lagr-wnk', 'Naive Lagrange', inplace=True)
else:
csv_data.interpolation_method.replace('fft-eval', 'Fast threshold BLS aggregation', inplace=True)
... | code_fim | hard | {
"lang": "python",
"repo": "mdehezclementi/libpolycrypto",
"path": "/scripts/linux/plot-threshsig.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> upstream_sha = get_upstream_index_sha(repo)
upstream_index_diff = get_diff(repo, upstream_sha) if upstream_sha else None
if head_index_diff or upstream_sha or upstream_index_diff:
return UncommittedChanges(head_index_diff, upstream_index_diff, upstream_sha)
def track_uncommitted_cha... | code_fim | hard | {
"lang": "python",
"repo": "neptune-ai/neptune-client",
"path": "/src/neptune/internal/utils/git.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: neptune-ai/neptune-client path: /src/neptune/internal/utils/git.py
#
# Copyright (c) 2022, Neptune Labs Sp. z o.o.
#
# 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
#
# ... | code_fim | hard | {
"lang": "python",
"repo": "neptune-ai/neptune-client",
"path": "/src/neptune/internal/utils/git.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> try:
from git.exc import (
InvalidGitRepositoryError,
NoSuchPathError,
)
try:
return get_git_repo(repo_path=initial_repo_path)
except (NoSuchPathError, InvalidGitRepositoryError):
return None
except ImportError:
... | code_fim | hard | {
"lang": "python",
"repo": "neptune-ai/neptune-client",
"path": "/src/neptune/internal/utils/git.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> idade = input('Qual a sua idade :')
if not idade.isnumeric():
print( 'Você precisa digitar apenas números')
else:
idade=int(idade)
if idade > 120 :
print('Fim do programa')
break
if idade < 120 :
usario = 'Você é maior de idad... | code_fim | hard | {
"lang": "python",
"repo": "JlucasS777/Aprendendo-Python",
"path": "/Aprendendo Python/cursopythonudamy/aula24_operadorternario.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: JlucasS777/Aprendendo-Python path: /Aprendendo Python/cursopythonudamy/aula24_operadorternario.py
# Operador Ternário
'''login_user = False
if login_user : # isso é o mesmo que if login_user == True:
msg = 'Usuário logado'
<|fim_suffix|> idade = input('Qual a sua idade :')
if not id... | code_fim | hard | {
"lang": "python",
"repo": "JlucasS777/Aprendendo-Python",
"path": "/Aprendendo Python/cursopythonudamy/aula24_operadorternario.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: osamadel/Python-Online-Courses path: /MITx6001/Midterm/problem6.py
# -*- coding: utf-8 -*-
"""
Created on Fri Oct 14 09:59:04 2016
@author: Osama
"""
<|fim_suffix|> for i in L:
for j in range(len(i)//2):
temp = i[j]
i[j] = i[-1-j]
i[-1-j] = temp
... | code_fim | hard | {
"lang": "python",
"repo": "osamadel/Python-Online-Courses",
"path": "/MITx6001/Midterm/problem6.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
L = [[1, 2], [3, 4], [5, 6, 7]]
print(L)
deep_reverse(L)
print(L)<|fim_prefix|># repo: osamadel/Python-Online-Courses path: /MITx6001/Midterm/problem6.py
# -*- coding: utf-8 -*-
"""
Created on Fri Oct 14 09:59:04 2016
@author: Osama
"""
def deep_reverse(L):
""" assumes L is a list of lists whose e... | code_fim | medium | {
"lang": "python",
"repo": "osamadel/Python-Online-Courses",
"path": "/MITx6001/Midterm/problem6.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>L = [[1, 2], [3, 4], [5, 6, 7]]
print(L)
deep_reverse(L)
print(L)<|fim_prefix|># repo: osamadel/Python-Online-Courses path: /MITx6001/Midterm/problem6.py
# -*- coding: utf-8 -*-
"""
Created on Fri Oct 14 09:59:04 2016
<|fim_middle|>@author: Osama
"""
def deep_reverse(L):
""" assumes L is a list of ... | code_fim | hard | {
"lang": "python",
"repo": "osamadel/Python-Online-Courses",
"path": "/MITx6001/Midterm/problem6.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>if __name__ == "__main__":
parser = argparse.ArgumentParser(
description="""Generate static IIIF image tiles from source images.
Must specify a source directory or a list of files."""
)
parser.add_argument(
"-d",
"--dest",
metavar="DEST_DIR",
help="b... | code_fim | hard | {
"lang": "python",
"repo": "Princeton-CDH/geniza",
"path": "/scripts/tile_images.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # adapted from call in iiif_static command line script
# using defaults option
# dest_dir = os.path.join(base_path, "iiif-images")
dest_url = base_url.rstrip("/") + "/images/" # CHECK
# base destination url required for generating ids in info.json
sg = IIIFStatic(dst=dest_dir, pre... | code_fim | hard | {
"lang": "python",
"repo": "Princeton-CDH/geniza",
"path": "/scripts/tile_images.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Princeton-CDH/geniza path: /scripts/tile_images.py
#! /usr/bin/env python
# Stand-alone python script to generate IIIF Image API level 0
# image tiles for static IIIF content.
#
# Install python dependencies with pip:
#
# pip install iiif
#
# Script requires a destination directory where tile ... | code_fim | hard | {
"lang": "python",
"repo": "Princeton-CDH/geniza",
"path": "/scripts/tile_images.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
if __name__ == "__main__":
test_spectral_units()
test_import_1D()
test_import_2D()
test_import_2D_survey()
test_import_3D()<|fim_prefix|># repo: wright-group/WrightTools path: /tests/data/from_LabRAM.py
import WrightTools as wt
from WrightTools.datasets import LabRAM
def test_spect... | code_fim | hard | {
"lang": "python",
"repo": "wright-group/WrightTools",
"path": "/tests/data/from_LabRAM.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: wright-group/WrightTools path: /tests/data/from_LabRAM.py
import WrightTools as wt
from WrightTools.datasets import LabRAM
def test_spectral_units():
d = wt.data.from_LabRAM(LabRAM.spectrum_nm)
assert d.wm.units == "nm"
d.close()
d = wt.data.from_LabRAM(LabRAM.spectrum_wn)
a... | code_fim | hard | {
"lang": "python",
"repo": "wright-group/WrightTools",
"path": "/tests/data/from_LabRAM.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def test_import_3D():
d = wt.data.from_LabRAM(LabRAM.map_nm)
d.close()
if __name__ == "__main__":
test_spectral_units()
test_import_1D()
test_import_2D()
test_import_2D_survey()
test_import_3D()<|fim_prefix|># repo: wright-group/WrightTools path: /tests/data/from_LabRAM.py
i... | code_fim | medium | {
"lang": "python",
"repo": "wright-group/WrightTools",
"path": "/tests/data/from_LabRAM.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>cv2.imwrite('out.png', dst)<|fim_prefix|># repo: QuantumFractal/hackisu-2017-nucleus path: /point-cloud-stuff/cleanup.py
import cv2
import numpy as np
from PIL import Image
img = cv2.imread('images/front.bmp',0)
mask = cv2.imread('images/mask_front.bmp', 0)
<|fim_middle|>dst = cv2.inpaint(img,... | code_fim | easy | {
"lang": "python",
"repo": "QuantumFractal/hackisu-2017-nucleus",
"path": "/point-cloud-stuff/cleanup.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: QuantumFractal/hackisu-2017-nucleus path: /point-cloud-stuff/cleanup.py
import cv2
import numpy as np
from PIL import Image
<|fim_suffix|>cv2.imwrite('out.png', dst)<|fim_middle|>img = cv2.imread('images/front.bmp',0)
mask = cv2.imread('images/mask_front.bmp', 0)
dst = cv2.inpaint(img,... | code_fim | medium | {
"lang": "python",
"repo": "QuantumFractal/hackisu-2017-nucleus",
"path": "/point-cloud-stuff/cleanup.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> aux = remover_separator_filename_mode(separator_filename_mode, file_name)
aux = str(str(aux).split(separator_receptor)[1]).strip()
return aux<|fim_prefix|># repo: rodrigofaccioli/drugdesignCassandra path: /src/commonFunctions.py
"""
Removes separator_filename_mode from file name.
Exam... | code_fim | hard | {
"lang": "python",
"repo": "rodrigofaccioli/drugdesignCassandra",
"path": "/src/commonFunctions.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: rodrigofaccioli/drugdesignCassandra path: /src/commonFunctions.py
"""
Removes separator_filename_mode from file name.
Example:
separator_filename_mode : +----+
file_name ns3pro_dm_0_-_NuBBE_102_obabel_3D+----+1
return ns3pro_dm_0_-_NuBBE_102_obabel_3D
"""
def remover_separator... | code_fim | hard | {
"lang": "python",
"repo": "rodrigofaccioli/drugdesignCassandra",
"path": "/src/commonFunctions.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>#folders
from . import _io
from . import _serialization<|fim_prefix|># repo: rramji/nanome-lib path: /nanome/_internal/_volumetric/__init__.py
from ._unit_cell import _UnitCell
from ._volume_data import _VolumeData
from ._volume_layer import _VolumeLay<|fim_middle|>er
from ._volume_properties import _Vol... | code_fim | easy | {
"lang": "python",
"repo": "rramji/nanome-lib",
"path": "/nanome/_internal/_volumetric/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: rramji/nanome-lib path: /nanome/_internal/_volumetric/__init__.py
from ._unit_cell import _UnitCell
from ._volume_data i<|fim_suffix|>er
from ._volume_properties import _VolumeProperties
#folders
from . import _io
from . import _serialization<|fim_middle|>mport _VolumeData
from ._volume_layer im... | code_fim | easy | {
"lang": "python",
"repo": "rramji/nanome-lib",
"path": "/nanome/_internal/_volumetric/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: fgh95/pubmed_parser path: /tests/test_reference_remove.py
from lxml import etree
from pubmed_parser.utils import stringify_children
SAMPLE1 = """<p>Both types of NP formulations demonstrated size ranges that were considered to be suitable for IV administration for long-circulating sustained-rele... | code_fim | hard | {
"lang": "python",
"repo": "fgh95/pubmed_parser",
"path": "/tests/test_reference_remove.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def test_removebibrefs():
xml_text = etree.fromstring(SAMPLE2)
parsed_text = stringify_children(node=xml_text)
assert parsed_text == "The adsorption isotherms were characterized with the model presented in eq 22 where a is the measure of the capacity (Bmax), m is a heterogeneity index, and F ... | code_fim | hard | {
"lang": "python",
"repo": "fgh95/pubmed_parser",
"path": "/tests/test_reference_remove.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mukultaneja/ansible-modules-vCenter-automation path: /modules/vcenter_datacenter.py
from pyVmomi import vim
from ansible.module_utils.vc import VcAnsibleModule
VC_DATACENTER_STATES = ['present', 'absent']
def vc_datacenter_argument_spec():
return dict(
dc_name=dict(type='str', req... | code_fim | hard | {
"lang": "python",
"repo": "mukultaneja/ansible-modules-vCenter-automation",
"path": "/modules/vcenter_datacenter.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def create(self):
content = self.si.content
root = content.rootFolder
response = dict()
response['changed'] = False
dc_name = self.params.get("dc_name")
try:
root.CreateDatacenter(dc_name)
except vim.fault.DuplicateName:
... | code_fim | hard | {
"lang": "python",
"repo": "mukultaneja/ansible-modules-vCenter-automation",
"path": "/modules/vcenter_datacenter.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def main():
argument_spec = vc_datacenter_argument_spec()
response = dict(msg=dict(type='str'))
module = VcDatacenter(argument_spec=argument_spec, supports_check_mode=True)
try:
response = module.manage_states()
except Exception as error:
response['msg'] = error.__str... | code_fim | hard | {
"lang": "python",
"repo": "mukultaneja/ansible-modules-vCenter-automation",
"path": "/modules/vcenter_datacenter.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # A[i] 之前恰好有 j - 1 个元素，而它们一共组成了长度为 j 的子数组
# 相当于当前子数组可以表示为 A[:j]
# if i - j < 0:
# dp[i] = max(dp[i], subarray_max * j)
# else:
# dp[i] = max(dp[i], dp[i - j] + subarray_max * j)
... | code_fim | hard | {
"lang": "python",
"repo": "Yuziquan/LeetCode",
"path": "/Problemset/partition-array-for-maximum-sum/partition-array-for-maximum-sum.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> n = len(A)
if n <= K:
return max(A) * n
if K == 1:
return sum(A)
dp = [0 for _ in range(n)]
for i, a in enumerate(A):
subarray_max = a
# j 代表当前子数组的长度，包括 A[i]，子数组为 A[i - j + 1: i + 1]
for j in range(1, K + 1... | code_fim | hard | {
"lang": "python",
"repo": "Yuziquan/LeetCode",
"path": "/Problemset/partition-array-for-maximum-sum/partition-array-for-maximum-sum.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Yuziquan/LeetCode path: /Problemset/partition-array-for-maximum-sum/partition-array-for-maximum-sum.py
# @Title: 分隔数组以得到最大和 (Partition Array for Maximum Sum)
# @Author: KivenC
# @Date: 2019-05-18 23:46:56
# @Runtime: 660 ms
# @Memory: 12.9 MB
<|fim_suffix|> def maxSumAfterPartitioning(self, ... | code_fim | hard | {
"lang": "python",
"repo": "Yuziquan/LeetCode",
"path": "/Problemset/partition-array-for-maximum-sum/partition-array-for-maximum-sum.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: alonsocarrillo/NetworkServicesManagement path: /Practica1/datagramasUDP.py
import time
import rrdtool
from Practica1.getSNMP import consultaSNMP
total_input_traffic = 0
total_output_traffic = 0
#Datagramas entregados a usuarios UDP
#consultaSNMP("acarrillo", "localhost", "1.3.6.1.2.1.7.1.0")
<|... | code_fim | hard | {
"lang": "python",
"repo": "alonsocarrillo/NetworkServicesManagement",
"path": "/Practica1/datagramasUDP.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> time.sleep(1)
tiempo += 1
if tiempo == 1:
break
# if ret:
# print (rrdtool.error())
# time.sleep(300)<|fim_prefix|># repo: alonsocarrillo/NetworkServicesManagement path: /Practica1/datagramasUDP.py
import time
import rrdtool
from Practica1.getSNMP ... | code_fim | hard | {
"lang": "python",
"repo": "alonsocarrillo/NetworkServicesManagement",
"path": "/Practica1/datagramasUDP.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: visargbsoneji/bigscholarlydata path: /BigScholarlyDataCrawler/Crawler/Crawler_doi.py
import string
from bs4 import BeautifulSoup as BS
import xml.etree.ElementTree as ET
class Crawler_doi:
<|fim_suffix|> def get_doi_IEEE(self, document):
try:
return document.find('doi').text
except:
r... | code_fim | medium | {
"lang": "python",
"repo": "visargbsoneji/bigscholarlydata",
"path": "/BigScholarlyDataCrawler/Crawler/Crawler_doi.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def get_doi_IEEE(self, document):
try:
return document.find('doi').text
except:
return None
def get_doi_Springer(self, soup):
try:
doi = soup.find('meta', {'name': 'citation_doi'})['content']
except:
doi = None
finally:
return doi<|fim_prefix|># repo: visargbsoneji/bigscho... | code_fim | medium | {
"lang": "python",
"repo": "visargbsoneji/bigscholarlydata",
"path": "/BigScholarlyDataCrawler/Crawler/Crawler_doi.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> except:
return None
def get_doi_Springer(self, soup):
try:
doi = soup.find('meta', {'name': 'citation_doi'})['content']
except:
doi = None
finally:
return doi<|fim_prefix|># repo: visargbsoneji/bigscholarlydata path: /BigScholarlyDataCrawler/Crawler/Crawler_doi.py
import string
... | code_fim | medium | {
"lang": "python",
"repo": "visargbsoneji/bigscholarlydata",
"path": "/BigScholarlyDataCrawler/Crawler/Crawler_doi.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: heyoeyo/batteryCheck path: /batCheck.py
import os
import time
import re
import sys
# Specify sixad log file path
logPath='/var/log/sixad'
# Specify battery check display file path
dispExecPath='./code/batDisplay'
dispCmdOptions = '-x 24 -y 16 -t 5' # Can change '-x 32 -y 32 -s 32 -t 3'
# Get ... | code_fim | hard | {
"lang": "python",
"repo": "heyoeyo/batteryCheck",
"path": "/batCheck.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if __debug: print 'PID ' + pidVal + ' is running'
# Process is running. Only display battery info if it's not in our already displayed list
if pidVal not in pidList:
if __debug: print 'PID ' + pidVal + ' is not in PID list'
# Get battery value for display
batVal = getBrackets[... | code_fim | hard | {
"lang": "python",
"repo": "heyoeyo/batteryCheck",
"path": "/batCheck.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Call the battery display function
dispCmd = dispExecPath + ' ' + dispCmdOptions + ' ' + iconPath + str(batVal) + '.png'
if __debug: print 'calling display function: ' + dispCmd
os.system(dispCmd)
# Add PID to displayed list so we don't repeatedly display it
pidList.ap... | code_fim | hard | {
"lang": "python",
"repo": "heyoeyo/batteryCheck",
"path": "/batCheck.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if not self.disable_url_printing:
print(f'Serving app from {self.url}')
self.dash_app.run_server(debug=debug, host=host, port=port, use_reloader=False, **extra_options)
class CustomWebEnginePage(web_widgets.QWebEnginePage):
def createWindow(self, _type):
page = Cu... | code_fim | hard | {
"lang": "python",
"repo": "argabor/dash-desktop",
"path": "/dashui/dashui.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: argabor/dash-desktop path: /dashui/dashui.py
from threading import Thread
import PyQt5.QtCore as core
import PyQt5.QtWidgets as core_widgets
import PyQt5.QtWebEngine as web_engine
import PyQt5.QtWebEngineWidgets as web_widgets
import PyQt5.QtGui as gui
import logging
import sys
import socket
d... | code_fim | hard | {
"lang": "python",
"repo": "argabor/dash-desktop",
"path": "/dashui/dashui.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.dash_thread.start()
def run_gui(self):
self.view.load(core.QUrl(self.url))
change_setting = self.view.page().settings().setAttribute
settings = web_widgets.QWebEngineSettings
change_setting(settings.LocalStorageEnabled, True)
change_setting(settin... | code_fim | hard | {
"lang": "python",
"repo": "argabor/dash-desktop",
"path": "/dashui/dashui.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: liting-dev/scfcli path: /tcfcli/cmds/logs/__init__.py
import click
import time
from datetime import datetime
from datetime import timedelta
from tcfcli.cmds.native.common.invoke_context import InvokeContext
from tcfcli.cmds.local.common.options import invoke_common_options
from tcfcli.common.user... | code_fim | hard | {
"lang": "python",
"repo": "liting-dev/scfcli",
"path": "/tcfcli/cmds/logs/__init__.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> if _start:
start = datetime.strptime(_start, tm_format)
if _end:
end = datetime.strptime(_end, tm_format)
# specify starttime and endtime
if start and end:
pass
elif start: # the combination of starttime and interval
end = start + timedelta(m... | code_fim | hard | {
"lang": "python",
"repo": "liting-dev/scfcli",
"path": "/tcfcli/cmds/logs/__init__.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ilumb/tortuga path: /src/installer/src/tortuga/db/tables/mapper_hardware_profiles.py
# Copyright 2008-2018 Univa Corporation
#
# 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 Licens... | code_fim | hard | {
"lang": "python",
"repo": "ilumb/tortuga",
"path": "/src/installer/src/tortuga/db/tables/mapper_hardware_profiles.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> backend_opts = db_manager.get_backend_opts()
hardwareprofilenetworks_table = Table(
'HardwareProfileNetworks',
db_manager.metadata,
Column('hardwareProfileId', Integer,
ForeignKey('HardwareProfiles.id'), primary_key=True),
... | code_fim | hard | {
"lang": "python",
"repo": "ilumb/tortuga",
"path": "/src/installer/src/tortuga/db/tables/mapper_hardware_profiles.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: davidhendel/galpy path: /galpy/snapshot/__init__.py
from . import Snapshot
from . import snapshotMovies
<|fim_suffix|>#
# Classes
#
Snapshot= Snapshot.Snapshot<|fim_middle|>#
# Functions
#
snapshotToMovie= snapshotMovies.snapshotToMovie
| code_fim | medium | {
"lang": "python",
"repo": "davidhendel/galpy",
"path": "/galpy/snapshot/__init__.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>#
# Classes
#
Snapshot= Snapshot.Snapshot<|fim_prefix|># repo: davidhendel/galpy path: /galpy/snapshot/__init__.py
from . import Snapshot
from . import snapshotMovies
<|fim_middle|>#
# Functions
#
snapshotToMovie= snapshotMovies.snapshotToMovie
| code_fim | medium | {
"lang": "python",
"repo": "davidhendel/galpy",
"path": "/galpy/snapshot/__init__.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tktaofik/airnd-market path: /services/job/job/config.py
import os
from dotenv import load_dotenv
<|fim_suffix|>
def get_config():
return {
"port": os.getenv('PORT'),
"db_name": os.getenv('DB_NAME'),
"db_user": os.getenv('DB_USER'),
"db_password": os.getenv('D... | code_fim | easy | {
"lang": "python",
"repo": "tktaofik/airnd-market",
"path": "/services/job/job/config.py",
"mode": "psm",
"license": "ISC",
"source": "the-stack-v2"
} |
<|fim_suffix|>def get_config():
return {
"port": os.getenv('PORT'),
"db_name": os.getenv('DB_NAME'),
"db_user": os.getenv('DB_USER'),
"db_password": os.getenv('DB_PASSWORD'),
"db_host": os.getenv('DB_HOST'),
"db_port": os.getenv('DB_PORT'),
"sentry_key": os.ge... | code_fim | easy | {
"lang": "python",
"repo": "tktaofik/airnd-market",
"path": "/services/job/job/config.py",
"mode": "spm",
"license": "ISC",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: prefeiturasp/SME-PortalUniforme-BackEnd path: /sme_uniforme_apps/utils/base64ToFile.py
from django.core.files.base import ContentFile
import base64
<|fim_suffix|> format, imgstr = base.split(';base64,')
ext = format.split('/')[-1]
data = ContentFile(base64.b64decode(imgstr), name='t... | code_fim | easy | {
"lang": "python",
"repo": "prefeiturasp/SME-PortalUniforme-BackEnd",
"path": "/sme_uniforme_apps/utils/base64ToFile.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> format, imgstr = base.split(';base64,')
ext = format.split('/')[-1]
data = ContentFile(base64.b64decode(imgstr), name='temp.' + ext)
return {'data': data, 'ext': ext }<|fim_prefix|># repo: prefeiturasp/SME-PortalUniforme-BackEnd path: /sme_uniforme_apps/utils/base64ToFile.py
from django... | code_fim | easy | {
"lang": "python",
"repo": "prefeiturasp/SME-PortalUniforme-BackEnd",
"path": "/sme_uniforme_apps/utils/base64ToFile.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class DuelLoss(_Loss):
def __init__(self, num_points_mesh, sym_list):
super(DuelLoss, self).__init__(True)
self.num_pt_mesh = num_points_mesh
self.sym_list = sym_list
def forward(self, pred_q1 ,pred_q2, pred_z, true_r):
loss, lik = duel_loss_calculation(pred_q1 ,p... | code_fim | medium | {
"lang": "python",
"repo": "r-pad/DenseFusion",
"path": "/lib/loss_bing.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: r-pad/DenseFusion path: /lib/loss_bing.py
from torch.nn.modules.loss import _Loss
from torch.autograd import Variable
import torch
import time
import numpy as np
import torch.nn as nn
import random
#from dense_fusion.bingham_const import bingham_const
#from object_pose_utils.utils.interpolation i... | code_fim | hard | {
"lang": "python",
"repo": "r-pad/DenseFusion",
"path": "/lib/loss_bing.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>dir = './data'
result=[]
for school in os.listdir(dir):
if(school.find('.') != -1):
continue
schoolDir = os.path.join(dir,school)
for professor in os.listdir(schoolDir):
if(professor.find('.') != -1):
continue
isAcmfellow = 0
isIeeefellow = 0
isGranted = 0
professorDir = os.path.join(sch... | code_fim | medium | {
"lang": "python",
"repo": "bsnsk/CSInfoCollector",
"path": "/task2.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bsnsk/CSInfoCollector path: /task2.py
import os
def findall(text,s):
res = []
index = 0
while ((text.find(s,index)) != -1):
pos = text.find(s,index);
res.append(pos)
index = pos + 1
return res
<|fim_suffix|> pos = findall(text,s)
for p in pos:
if s in text[p-15:p+15]:
return Tru... | code_fim | medium | {
"lang": "python",
"repo": "bsnsk/CSInfoCollector",
"path": "/task2.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ProjetsPlusIA/kerosene path: /kerosene/nn/criterions.py
# -*- coding: utf-8 -*-
# Copyright 2019 Kerosene Authors. All Rights Reserved.
#
# Licensed under the MIT License;
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://... | code_fim | hard | {
"lang": "python",
"repo": "ProjetsPlusIA/kerosene",
"path": "/kerosene/nn/criterions.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def forward(self, inputs: torch.Tensor, targets: torch.Tensor):
"""
Computes the Sørensen–Dice loss.
Note that PyTorch optimizers minimize a loss. In this case, we would like to maximize the dice loss so we
return the negated dice loss.
Args:
inputs ... | code_fim | hard | {
"lang": "python",
"repo": "ProjetsPlusIA/kerosene",
"path": "/kerosene/nn/criterions.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: xurten/python-training path: /tips/tip_75_use_repr_for_debug.py
# Tip 75 use repr for debug
# Both __str__ and __repr__ functions return string representation of the object
# __str__ string representation is more human-friendly and for logging
# __repr__ information about object so that it can be... | code_fim | medium | {
"lang": "python",
"repo": "xurten/python-training",
"path": "/tips/tip_75_use_repr_for_debug.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> return f'BetterClass({self.x!r}, {self.y!r})'
obj = BetterClass(1, 'bar')
print(obj)
print(obj.__dict__)<|fim_prefix|># repo: xurten/python-training path: /tips/tip_75_use_repr_for_debug.py
# Tip 75 use repr for debug
# Both __str__ and __repr__ functions return string representation of the obj... | code_fim | medium | {
"lang": "python",
"repo": "xurten/python-training",
"path": "/tips/tip_75_use_repr_for_debug.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __init__(self, file):
self.media = file
# if file is link
if urlparse(file).scheme in ('http', 'https'):
self.pathFile = self.downloadMediaFromLink(file)
self.isLink = True
# if file is a local file
else:
self.pathFile =... | code_fim | medium | {
"lang": "python",
"repo": "MacherIT/pybuho",
"path": "/instapy_cli/media.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MacherIT/pybuho path: /instapy_cli/media.py
import os, requests
#import urlparse for Python2 and Python3
try:
from urllib.parse import urlparse
except ImportError:
from urlparse import urlparse
class Media(object):
pathFile = None
media = None
isLink = False
def __init_... | code_fim | medium | {
"lang": "python",
"repo": "MacherIT/pybuho",
"path": "/instapy_cli/media.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def downloadMediaFromLink(self,url):
print('Downloading Media..')
# print(urlparse(url))
fileName = urlparse(url).path.split('/')[-1]
# print(fileName)
r = requests.get(url, allow_redirects=True)
open(fileName, 'wb').write(r.content)
return fileN... | code_fim | hard | {
"lang": "python",
"repo": "MacherIT/pybuho",
"path": "/instapy_cli/media.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> sample_count = 7
step = Dictionary.MAX_SYMBOL // (sample_count + 1)
if step == 0:
return self._token_usage_by_symbol[Dictionary.MAX_SYMBOL // 2].count
j = step - 1
samples = list()
for i in range(sample_count):
samples.append(self._to... | code_fim | hard | {
"lang": "python",
"repo": "bidfx/bidfx-api-py",
"path": "/bidfx/pricing/_puffin/token_dictionary.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bidfx/bidfx-api-py path: /bidfx/pricing/_puffin/token_dictionary.py
__all__ = ["Dictionary", "Token", "TokenType"]
import io
import logging
import socket
from enum import Enum, unique
from bidfx import PricingError
from .element import Element
log = logging.getLogger("bidfx.pricing.puffin.deco... | code_fim | hard | {
"lang": "python",
"repo": "bidfx/bidfx-api-py",
"path": "/bidfx/pricing/_puffin/token_dictionary.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
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