text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_suffix|> def get(self, key):
key = self.add_prefix(key)
if self._cache:
value = self._cache.get(key)
if value is None:
self.autofill()
value = self._cache.get(key)
else:
value = None
if value is None:
... | code_fim | hard | {
"lang": "python",
"repo": "bulldoges/MemberMatters",
"path": "/memberportal/membermatters/constance_backend.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bulldoges/MemberMatters path: /memberportal/membermatters/constance_backend.py
from constance.backends.database import DatabaseBackend as BaseDatabaseBackend
class DatabaseBackend(BaseDatabaseBackend):
<|fim_suffix|> key = self.add_prefix(key)
if self._cache:
value = ... | code_fim | hard | {
"lang": "python",
"repo": "bulldoges/MemberMatters",
"path": "/memberportal/membermatters/constance_backend.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: deepmd-production/lca-code path: /scripts/pre_process.py
"""Pre-process DICOMs and create an HDF5 file."""
import argparse
<|fim_suffix|> main(parser.parse_args())<|fim_middle|>def main(args):
raise NotImplementedError('Pre-process not implemented.')
if __name__ == '__main__':
pars... | code_fim | medium | {
"lang": "python",
"repo": "deepmd-production/lca-code",
"path": "/scripts/pre_process.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> raise NotImplementedError('Pre-process not implemented.')
if __name__ == '__main__':
parser = argparse.ArgumentParser(description='Pre-process DICOMs')
main(parser.parse_args())<|fim_prefix|># repo: deepmd-production/lca-code path: /scripts/pre_process.py
"""Pre-process DICOMs and create a... | code_fim | easy | {
"lang": "python",
"repo": "deepmd-production/lca-code",
"path": "/scripts/pre_process.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> output = []
def inorder(node: TreeNode) -> None:
if node:
inorder(node.left)
output.append(node.val)
inorder(node.right)
inorder(root)
return output<|fim_prefix|># repo: czs108/LeetCode-Solutions path: /Easy/94.... | code_fim | hard | {
"lang": "python",
"repo": "czs108/LeetCode-Solutions",
"path": "/Easy/94. Binary Tree Inorder Traversal/solution (2).py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: czs108/LeetCode-Solutions path: /Easy/94. Binary Tree Inorder Traversal/solution (2).py
# 94. Binary Tree Inorder Traversal
# Runtime: 50 ms, faster than 10.24% of Python3 online submissions for Binary Tree Inorder Traversal.
# Memory Usage: 14.1 MB, less than 91.45% of Python3 online submissio... | code_fim | hard | {
"lang": "python",
"repo": "czs108/LeetCode-Solutions",
"path": "/Easy/94. Binary Tree Inorder Traversal/solution (2).py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Recursion
def inorderTraversal(self, root: TreeNode) -> list[int]:
output = []
def inorder(node: TreeNode) -> None:
if node:
inorder(node.left)
output.append(node.val)
inorder(node.right)
inorder(root)
... | code_fim | hard | {
"lang": "python",
"repo": "czs108/LeetCode-Solutions",
"path": "/Easy/94. Binary Tree Inorder Traversal/solution (2).py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
CHS=ProbabilityInterval(lower_bound=0.5, upper_bound=1.0),
CLM=ProbabilityInterval(lower_bound=0.5, upper_bound=1.0),
ESN=ProbabilityInterval(lower_bound=0.5, upper_bound=1.0),
FIN=ProbabilityInterval(lower_bound=0.5, upper_b... | code_fim | hard | {
"lang": "python",
"repo": "akotlar/bystro",
"path": "/python/python/bystro/ancestry/dummy_ancestry_response.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: akotlar/bystro path: /python/python/bystro/ancestry/dummy_ancestry_response.py
"""Provide dummy ancestry response for integration testing."""
from bystro.ancestry.ancestry_types import (
AncestryResponse,
AncestryResult,
PopulationVector,
ProbabilityInterval,
SuperpopVector,
... | code_fim | hard | {
"lang": "python",
"repo": "akotlar/bystro",
"path": "/python/python/bystro/ancestry/dummy_ancestry_response.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: miguelmalvarez/kaggle_digits path: /run_nn.py
import tensorflow as tf
import numpy as np
import pandas as pd
from sklearn.model_selection import train_test_split
from tensorflow.keras.preprocessing.image import ImageDataGenerator
def main():
train_data = pd.read_csv('data/train.csv', header=... | code_fim | hard | {
"lang": "python",
"repo": "miguelmalvarez/kaggle_digits",
"path": "/run_nn.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> loss_fn = tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True)
model.compile(optimizer='adam',
loss=loss_fn,
metrics=['accuracy'])
model.fit(x_train, y_train, epochs=epochs, batch_size=batch_size, validation_data=(x_val, y_val))
predictions =... | code_fim | hard | {
"lang": "python",
"repo": "miguelmalvarez/kaggle_digits",
"path": "/run_nn.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: fberanizo/sin5006 path: /tests/cvrp/grid_search.py
# -*- coding: utf-8 -*-
import sys, os
sys.path.insert(0, os.path.abspath('..'))
import numpy, itertools, operator, pandas
class GridSearch(object):
def __init__(self, genetic_algorithm, params, repeat=2):
self.genetic_algorithm = ... | code_fim | hard | {
"lang": "python",
"repo": "fberanizo/sin5006",
"path": "/tests/cvrp/grid_search.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> def get_best_parametrization(self):
"""Returns a list of tuples that have the attributes:
params: the parameters used by the GA
best_fitness: the mean of best fitnesses of each iteration
"""
return max(self.grid_scores, key=lambda x: x[1])<|fim_p... | code_fim | hard | {
"lang": "python",
"repo": "fberanizo/sin5006",
"path": "/tests/cvrp/grid_search.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> parameterId = parameter.getId()
if parameterId == 1:
from watchFaceParser.models.elements.date.monthAndDayElement import MonthAndDayElement
self._monthAndDay = MonthAndDayElement(parameter = parameter, parent = self, name = 'MonthAndDay')
return self._mo... | code_fim | hard | {
"lang": "python",
"repo": "abhishekhbhootwala/py_amazfit_tools",
"path": "/watchFaceParser/models/elements/dateElement.py",
"mode": "spm",
"license": "LicenseRef-scancode-warranty-disclaimer",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: abhishekhbhootwala/py_amazfit_tools path: /watchFaceParser/models/elements/dateElement.py
import logging
from watchFaceParser.models.elements.basic.containerElement import ContainerElement
class DateElement(ContainerElement):
def __init__(self, parameter, parent = None, name = None):
... | code_fim | hard | {
"lang": "python",
"repo": "abhishekhbhootwala/py_amazfit_tools",
"path": "/watchFaceParser/models/elements/dateElement.py",
"mode": "psm",
"license": "LicenseRef-scancode-warranty-disclaimer",
"source": "the-stack-v2"
} |
<|fim_suffix|> @staticmethod
def aossapi_implementation(provider, play_context):
provider['transport'] = 'aossapi'
if provider.get('host') is None:
provider['host'] = play_context.remote_addr
if provider.get('port') is None:
if provider.get('use_ssl'):
... | code_fim | hard | {
"lang": "python",
"repo": "fallenfuzz/aruba-ansible-modules",
"path": "/aruba_module_installer/library/plugins/action/arubaoss.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> if provider.get('port') is None:
if provider.get('use_ssl'):
provider['port'] = 443
else:
provider['port'] = 80
if provider.get('timeout') is None:
provider['timeout'] = C.PERSISTENT_COMMAND_TIMEOUT
if provider.g... | code_fim | hard | {
"lang": "python",
"repo": "fallenfuzz/aruba-ansible-modules",
"path": "/aruba_module_installer/library/plugins/action/arubaoss.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: fallenfuzz/aruba-ansible-modules path: /aruba_module_installer/library/plugins/action/arubaoss.py
# (c) 2018 Red Hat Inc.
#
# This file is part of Ansible
#
# Ansible is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# t... | code_fim | hard | {
"lang": "python",
"repo": "fallenfuzz/aruba-ansible-modules",
"path": "/aruba_module_installer/library/plugins/action/arubaoss.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: obiwan314/k9os path: /scripts/center.py
[246,-384],
[246,-384],
[246,-384],
[246,-384],
[246,-384],
[246,-384],
[246,-384],
[246,-384],
[245,-386],
[245,-386],
[245,-386],
[245,-386],
[247,-384],
[247,-384],
[247,-384],
[247,-384],
... | code_fim | hard | {
"lang": "python",
"repo": "obiwan314/k9os",
"path": "/scripts/center.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: obiwan314/k9os path: /scripts/center.py
[-144,-190],
[-144,-190],
[-144,-190],
[-144,-190],
[-158,-202],
[-158,-202],
[-158,-202],
[-158,-202],
[-163,-212],
[-163,-212],
[-163,-212],
[-163,-212],
[-167,-218],
[-167,-218],
[-167,-218],
... | code_fim | hard | {
"lang": "python",
"repo": "obiwan314/k9os",
"path": "/scripts/center.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> [-147,-618],
[-147,-618],
[-147,-618],
[-143,-621],
[-143,-621],
[-143,-621],
[-143,-621],
[-140,-623],
[-140,-623],
[-140,-623],
[-137,-621],
[-137,-621],
[-137,-621],
[-137,-621],
[-141,-625],
[-141,-625],
[-141,-625],
[-141,-625],
... | code_fim | hard | {
"lang": "python",
"repo": "obiwan314/k9os",
"path": "/scripts/center.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> doubles = []
for x in singles:
x = int(x)
res.append(asc[x-1])
for x in doubles:
x = int(x)
res.append(asc[x-1])
res = ''.join(res)
return res<|fim_prefix|># repo: erjan/coding_exercis... | code_fim | hard | {
"lang": "python",
"repo": "erjan/coding_exercises",
"path": "/decrypt_string_from_alphabet_to_integer_mapping.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> for x in singles:
x = int(x)
res.append(asc[x-1])
for x in doubles:
x = int(x)
res.append(asc[x-1])
res = ''.join(res)
return res<|fim_prefix|># repo: erjan/coding_exercises path: /decrypt_string_from... | code_fim | hard | {
"lang": "python",
"repo": "erjan/coding_exercises",
"path": "/decrypt_string_from_alphabet_to_integer_mapping.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: erjan/coding_exercises path: /decrypt_string_from_alphabet_to_integer_mapping.py
'''
Given a string s formed by digits ('0' - '9') and '#' . We want to
map s to English lowercase characters as follows:
Characters ('a' to 'i') are represented by ('1' to '9') respectively.
Characters ('j' to 'z')... | code_fim | hard | {
"lang": "python",
"repo": "erjan/coding_exercises",
"path": "/decrypt_string_from_alphabet_to_integer_mapping.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Caso 4 -----------
# tiene una entrada de usuario staff
# si debe verificar
# Caso 5 ---------
# tiene una entrada de usuario superuser
# si debe verificar
# Caso 6 -------------
# tiene un usuario con muchas entradas
# tiene dos usuarios con entradas que coinciden a las del otro us... | code_fim | hard | {
"lang": "python",
"repo": "RedCiudadana/crowdata",
"path": "/crowdataapp/tests.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: RedCiudadana/crowdata path: /crowdataapp/tests.py
from django.test import TestCase
from crowdataapp.models import Document
class DocumentTest(TestCase):
fixtures = ['prod.json']
def setUp(self):
<|fim_suffix|> # VERIFICACIONES #############################
# Caso 1 -------
# tres usu... | code_fim | medium | {
"lang": "python",
"repo": "RedCiudadana/crowdata",
"path": "/crowdataapp/tests.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: renxinqiang/NLTK_EMOTION path: /comment7.py
','道路','走出','属于',\
'金立','口碑','来讲','评价','手机','有着','品牌','相当','它们','国内','对于',\
'八款','金立','囊括','入手','一款','一口气','各个','打算','手机','这次','发布',\
'手机','金立','热度','多久','难得','销量','第一次','保持','过去',\
'手机','金立','实体店','玩玩','换个','过年','时尚','商务','路线','时间',\
'金立','安全','主打','芯片... | code_fim | hard | {
"lang": "python",
"repo": "renxinqiang/NLTK_EMOTION",
"path": "/comment7.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
'安全','重要',\
'金立','信息安全','续航','独特','手机','有着','品牌','优势','行业','方面','作为',\
'从金立','金立','范的','向着','时尚','进军','商务','注重','看出','年轻','同时',\
'金立','续航','主打','貌似','隐私','超级','安全','以及',\
'金立','十几年','手机','毕竟','品牌','个人','认为',\
'金立','手机','品牌','道路','走出','属于',\
'金立','口碑','来讲','评价','手机','有着','品牌','相当','它们','国内','对于',\
'八款','金... | code_fim | hard | {
"lang": "python",
"repo": "renxinqiang/NLTK_EMOTION",
"path": "/comment7.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>耀',\
'双摄','荣耀','最早','国内',\
'屏得','凑活','音质','不至于',\
'摄像头','屏幕','或许',\
'我敢','扯淡','笔记本','配置','所有',\
'双摄','荣耀','最早','国内',\
'联发科','高通','好不好',\
'想要','性能',\
'柔性','误解','相当',\
'国服','毁号','王碎','宝宝',\
'听筒','摄像头','前置','放在',\
'颜值','超好','最赞','拍照','跟风','游戏','配置','大部分','系统',\
'不怎么样','性能','样子',\
'笔记本','区别','配置',\
'中芯','芯片',... | code_fim | hard | {
"lang": "python",
"repo": "renxinqiang/NLTK_EMOTION",
"path": "/comment7.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mynameismon/12thPracticals path: /question_15/question_15.py
# Write a Python program to copy the contents of above file “Medicine.csv” into “Temp.csv”, but with a differe<|fim_suffix|>er(f, delimiter=',')
with open('question_15/Temp.csv', 'w') as f1:
writer = csv.writ... | code_fim | medium | {
"lang": "python",
"repo": "mynameismon/12thPracticals",
"path": "/question_15/question_15.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>er='\t')
for row in reader:
writer.writerow(row)
if __name__ == '__main__':
copy_csv()<|fim_prefix|># repo: mynameismon/12thPracticals path: /question_15/question_15.py
# Write a Python program to copy the contents of above file “Medicine.csv” into “Temp.csv”, but ... | code_fim | hard | {
"lang": "python",
"repo": "mynameismon/12thPracticals",
"path": "/question_15/question_15.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>er(f, delimiter=',')
with open('question_15/Temp.csv', 'w') as f1:
writer = csv.writer(f1, delimiter='\t')
for row in reader:
writer.writerow(row)
if __name__ == '__main__':
copy_csv()<|fim_prefix|># repo: mynameismon/12thPracticals path: /question_15/q... | code_fim | medium | {
"lang": "python",
"repo": "mynameismon/12thPracticals",
"path": "/question_15/question_15.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: SasView/sasmodels path: /sasmodels/models/correlation_length.py
#correlation length model
# Note: model title and parameter table are inserted automatically
r"""
Definition
----------
The scattering intensity I(q) is calculated as
.. math::
I(Q) = \frac{A}{Q^n} + \frac{C}{1 + (Q\xi)^m} + \t... | code_fim | hard | {
"lang": "python",
"repo": "SasView/sasmodels",
"path": "/sasmodels/models/correlation_length.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>def Iq(q, lorentz_scale, porod_scale, cor_length, porod_exp, lorentz_exp):
"""
1D calculation of the Correlation length model
"""
with errstate(divide='ignore'):
porod = porod_scale / q**porod_exp
lorentz = lorentz_scale / (1.0 + (q * cor_length)**lorentz_exp)
inten = p... | code_fim | hard | {
"lang": "python",
"repo": "SasView/sasmodels",
"path": "/sasmodels/models/correlation_length.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> options = {
"num_subpolicies": 2,
"fn_choose_subpolicy": fn_choose_subpolicy,
"hierarchical_fcnet_hiddens": [[32, 32]] * 2
}
config["model"].update({"custom_options": options})
flow_env_name = "TwoLoopsMergePOEnv"
exp_tag = "merge_two_level_policy_example"
... | code_fim | medium | {
"lang": "python",
"repo": "lijunsun/flow",
"path": "/examples/rllib/merge_two_level_policy.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: lijunsun/flow path: /examples/rllib/merge_two_level_policy.py
"""
(description)
"""
import os
import ray
import ray.rllib.ppo as ppo
from ray.tune.registry import get_registry, register_env as register_rllib_env
from .cooperative_merge import flow_params, HORIZON, make_create_env
# Inner ring ... | code_fim | hard | {
"lang": "python",
"repo": "lijunsun/flow",
"path": "/examples/rllib/merge_two_level_policy.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> flow_env_name = "TwoLoopsMergePOEnv"
exp_tag = "merge_two_level_policy_example"
this_file = os.path.basename(__file__)[:-3] # filename without '.py'
flow_params["flowenv"] = flow_env_name
flow_params["exp_tag"] = exp_tag
flow_params["module"] = os.path.basename(__file__)[:-3]
... | code_fim | hard | {
"lang": "python",
"repo": "lijunsun/flow",
"path": "/examples/rllib/merge_two_level_policy.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: nerevu/riko path: /riko/modules/udf.py
# -*- coding: utf-8 -*-
# vim: sw=4:ts=4:expandtab
"""
riko.modules.udf
~~~~~~~~~~~~~~~~
Provides functions for performing an arbitrary (user-defined) function on stream
items.
Examples:
basic usage::
>>> from riko.modules.udf import pipe
... | code_fim | hard | {
"lang": "python",
"repo": "nerevu/riko",
"path": "/riko/modules/udf.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def parser(stream, objconf, tuples, **kwargs):
"""Parses the pipe content
Args:
stream (Iter[dict]): The source. Note: this shares the `tuples`
iterator, so consuming it will consume `tuples` as well.
objconf (obj): the item independent configuration (an Objectify
... | code_fim | hard | {
"lang": "python",
"repo": "nerevu/riko",
"path": "/riko/modules/udf.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>for note in noten:
template = Template(mail_template, trim_blocks=True)
email_path = os.path.join(email_dir, f"{note['Studierender'].lower().replace(' ', '-')}.txt")
with open(email_path, "w") as f:
f.write(template.render(note))<|fim_prefix|># repo: hdigital/teaching path: /3-py-tool... | code_fim | hard | {
"lang": "python",
"repo": "hdigital/teaching",
"path": "/3-py-tools/mail-grades.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hdigital/teaching path: /3-py-tools/mail-grades.py
import os, shutil
import numpy as np
import pandas as pd
from jinja2 import Template
email_dir = 'z-Mail-Note'
if os.path.exists(email_dir):
shutil.rmtree(email_dir)
os.makedirs(email_dir)
with open('mail-grades-template.txt') as f:
... | code_fim | medium | {
"lang": "python",
"repo": "hdigital/teaching",
"path": "/3-py-tools/mail-grades.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>noten = (pd.read_excel("0-Studierende-Leistungen.xlsx")
.replace({np.nan: None})
.dropna(subset = ["Studierender"])
.to_dict(orient = "records")
)
for note in noten:
template = Template(mail_template, trim_blocks=True)
email_path = os.path.join(email_di... | code_fim | medium | {
"lang": "python",
"repo": "hdigital/teaching",
"path": "/3-py-tools/mail-grades.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Camiloasc1/AstronomyUNAL path: /CelestialMechanics/Scripts/Homework2.py
import matplotlib.pyplot as plt
from scipy.optimize import brentq
import numpy as np
DELTA = 0.01
<|fim_suffix|>f = lambda x: x - (1 - m2) * (x + m2) / (abs(x + m2) ** 3) - m2 * (x - 1 + m2) / (abs(x - 1 + m2) ** 3)
segmen... | code_fim | medium | {
"lang": "python",
"repo": "Camiloasc1/AstronomyUNAL",
"path": "/CelestialMechanics/Scripts/Homework2.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>f = lambda x: x - (1 - m2) * (x + m2) / (abs(x + m2) ** 3) - m2 * (x - 1 + m2) / (abs(x - 1 + m2) ** 3)
segments = [[-2, -m2 - DELTA],
[-m2 + DELTA, 1 - m2 - DELTA],
[1 - m2 + DELTA, 2]]
roots = [brentq(f, segments[i][0], segments[i][1]) for i in range(len(segments))]
x = [np.li... | code_fim | medium | {
"lang": "python",
"repo": "Camiloasc1/AstronomyUNAL",
"path": "/CelestialMechanics/Scripts/Homework2.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Merge a list of samples to form a mini-batch.
Args:
samples (List[int]): sample indices to collate
Returns:
dict: a mini-batch suitable for forwarding with a Model
"""
batch = self.base_dataset.collater(samples)
# In case of an e... | code_fim | medium | {
"lang": "python",
"repo": "archomt/FBK-fairseq-ST",
"path": "/examples/speech_recognition/data/multitask_dataset.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def size(self, index):
"""Return an example's size as a float or tuple. This value is used when
filtering a dataset with ``--max-positions``."""
return self.base_dataset.size(index)
def ordered_indices(self):
"""Return an ordered list of indices. Batches will be co... | code_fim | hard | {
"lang": "python",
"repo": "archomt/FBK-fairseq-ST",
"path": "/examples/speech_recognition/data/multitask_dataset.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: archomt/FBK-fairseq-ST path: /examples/speech_recognition/data/multitask_dataset.py
import torch
from fairseq.data import FairseqDataset
class MultiTaskDataset(FairseqDataset):
def __init__(self, base_dataset, auxiliary_targets):
super().__init__()
self.base_dataset = base_... | code_fim | hard | {
"lang": "python",
"repo": "archomt/FBK-fairseq-ST",
"path": "/examples/speech_recognition/data/multitask_dataset.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: show0925/magnet-dht path: /magnet_dht/run.py
#! usr/bin/python
# encoding=utf-8
from threading import Thread
from magnet_dht.crawler import *
from magnet_dht.magnet_to_torrent_aria2c import *
# 服务 host
SERVER_HOST = "0.0.0.0"
# 服务端口
SERVER_PORT = 9090
# 是否使用全部进程
MAX_PROCESSES = 2 // 2 or cpu_... | code_fim | medium | {
"lang": "python",
"repo": "show0925/magnet-dht",
"path": "/magnet_dht/run.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
启动线程
:param offset: 端口偏移值
"""
dht = DHTServer(SERVER_HOST, SERVER_PORT + offset, offset)
threads = [
Thread(target=dht.send_find_node_forever),
Thread(target=dht.receive_response_forever),
Thread(target=dht.bs_timer),
]
if parse:
threads... | code_fim | medium | {
"lang": "python",
"repo": "show0925/magnet-dht",
"path": "/magnet_dht/run.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mitsei/dlkit path: /dlkit/authz_adapter/repository/sessions.py
query.match_repository_id(repository_id, match=False)
return self._query_session.get_assets_by_query(query)
def get_repository_id(self):
return self._provider_session.get_repository_id()
repository_... | code_fim | hard | {
"lang": "python",
"repo": "mitsei/dlkit",
"path": "/dlkit/authz_adapter/repository/sessions.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> composition_search_order = property(fget=get_composition_search_order)
@raise_null_argument
def get_compositions_by_search(self, composition_query, composition_search):
"""Pass through to provider CompositionSearchSession.get_compositions_by_search"""
# Implemented from azosid... | code_fim | hard | {
"lang": "python",
"repo": "mitsei/dlkit",
"path": "/dlkit/authz_adapter/repository/sessions.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mitsei/dlkit path: /dlkit/authz_adapter/repository/sessions.py
_changed_resources
if not self._can('register'):
raise PermissionDenied()
self._provider_session.register_for_changed_compositions()
@raise_null_argument
def register_for_changed_composition(self, ... | code_fim | hard | {
"lang": "python",
"repo": "mitsei/dlkit",
"path": "/dlkit/authz_adapter/repository/sessions.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> for row in reader:
record = dict([(k, v) for k, v in row.iteritems() if k in fields])
# Cast strings that are integers to int
record = convert(record)
# Build an insert statement that we can use a dictionary with
query = 'INSERT INTO %s (%s) ' % (cfname, ', '.j... | code_fim | hard | {
"lang": "python",
"repo": "polyvore/splunk-cassandra",
"path": "/bin/dbcql-insert.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: polyvore/splunk-cassandra path: /bin/dbcql-insert.py
#!/usr/bin/env python
#
# Copyright 2011 Splunk, Inc.
#
# 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": "polyvore/splunk-cassandra",
"path": "/bin/dbcql-insert.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> This is necessary because python csv module does not intepret type,
so our integers/floats on sys.stdin become strings.
"""
for k,v in row.iteritems():
if isinstance(v, str):
if v.isdigit():
row[k] = int(v)
elif re.match(r'^\d+[,\.]\d+$', v)... | code_fim | hard | {
"lang": "python",
"repo": "polyvore/splunk-cassandra",
"path": "/bin/dbcql-insert.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: crunchable/python-rtmbot path: /braceexpand.py
import re
BRACES_RE = re.compile("\{(.*?)\}", re.DOTALL)
def expand_braces(text):
<|fim_suffix|> brace = braces[0]
options = brace.split('|')
for option in options:
replaced = BRACES_RE.sub(option, text, count=1)
for sub_o... | code_fim | medium | {
"lang": "python",
"repo": "crunchable/python-rtmbot",
"path": "/braceexpand.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> brace = braces[0]
options = brace.split('|')
for option in options:
replaced = BRACES_RE.sub(option, text, count=1)
for sub_opt in expand_braces(replaced):
yield sub_opt<|fim_prefix|># repo: crunchable/python-rtmbot path: /braceexpand.py
import re
BRACES_RE = re.c... | code_fim | medium | {
"lang": "python",
"repo": "crunchable/python-rtmbot",
"path": "/braceexpand.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Pandinosaurus/ensae_teaching_cs path: /_unittests/ut_documentation/test_LONG_rst2html_latex.py
"""
@brief test log(time=93s)
"""
import sys
import os
import unittest
import warnings
from pyquickhelper.loghelper.flog import fLOG
from pyquickhelper.pycode import get_temp_folder
from pyquickhe... | code_fim | hard | {
"lang": "python",
"repo": "Pandinosaurus/ensae_teaching_cs",
"path": "/_unittests/ut_documentation/test_LONG_rst2html_latex.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> preamble = """
\\newcommand{\\acc}[1]{\\left\\{#1\\right\\}}
\\newcommand{\\abs}[1]{\\left\\{#1\\right\\}}
\\newcommand{\\cro}[1]{\\left[#1\\right]}
\\newcommand{\\pa}[1]{\\left(#1\\right)}
\\newcom... | code_fim | hard | {
"lang": "python",
"repo": "Pandinosaurus/ensae_teaching_cs",
"path": "/_unittests/ut_documentation/test_LONG_rst2html_latex.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: nviel/tracker2backlog path: /issue.py
from dataclasses import dataclass
@dataclass
class Issue:
numero: int = 0
resume: str = ""
statut: str = None
version_ciblee: str = None
# date_creation: str = None
categorie_MOA: str = None
valeur_metier: int = None
charge: in... | code_fim | hard | {
"lang": "python",
"repo": "nviel/tracker2backlog",
"path": "/issue.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> return self._numero
@numero.setter
def numero(self, value):
print(value)
self._numero = int(value)
"""<|fim_prefix|># repo: nviel/tracker2backlog path: /issue.py
from dataclasses import dataclass
@dataclass
class Issue:
numero: int = 0
resume: str = ""
statut... | code_fim | hard | {
"lang": "python",
"repo": "nviel/tracker2backlog",
"path": "/issue.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: CermakM/fabric8-analytics-common path: /dashboard/src/smoke_tests.py
"""Module with class that handle smoke test results."""
import csv
class SmokeTests:
"""Class that handle smoke test results."""
INPUT_FILES = {
"production": {
"logs": "smoketests_prod.log",
... | code_fim | hard | {
"lang": "python",
"repo": "CermakM/fabric8-analytics-common",
"path": "/dashboard/src/smoke_tests.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> @property
def logs(self):
"""Getter for the 'logs' attribute."""
if not self._logs:
self.read_logs()
return self._logs
if __name__ == "__main__":
# execute only if run as a script
smoke_tests = SmokeTests()
print("Results:")
print(smoke_tests.r... | code_fim | medium | {
"lang": "python",
"repo": "CermakM/fabric8-analytics-common",
"path": "/dashboard/src/smoke_tests.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> @property
def results(self):
"""Getter for the 'results' attribute."""
if not self._results:
self.read_results()
return self._results
@property
def logs(self):
"""Getter for the 'logs' attribute."""
if not self._logs:
self.re... | code_fim | hard | {
"lang": "python",
"repo": "CermakM/fabric8-analytics-common",
"path": "/dashboard/src/smoke_tests.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>me='SourceType',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(max_length=255, unique=True)),
('notes', models.TextField(blank=True)),
],
... | code_fim | hard | {
"lang": "python",
"repo": "Princeton-CDH/derrida-django",
"path": "/derrida/footnotes/migrations/0001_initial.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Princeton-CDH/derrida-django path: /derrida/footnotes/migrations/0001_initial.py
# -*- coding: utf-8 -*-
# Generated by Django 1.10.5 on 2017-03-06 21:00
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations... | code_fim | hard | {
"lang": "python",
"repo": "Princeton-CDH/derrida-django",
"path": "/derrida/footnotes/migrations/0001_initial.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: amywinecoff/t-recs path: /trecs/tests/test_recommender.py
import numpy as np
from trecs.models import BaseRecommender
from trecs.components import Creators
import test_helpers
class DummyRecommender(BaseRecommender):
def __init__(
self, users_hat, items_hat, users, items, num_users,... | code_fim | hard | {
"lang": "python",
"repo": "amywinecoff/t-recs",
"path": "/trecs/tests/test_recommender.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # 10 users and 50 items
users = np.random.randint(10, size=(10, 5))
items = np.random.randint(10, size=(5, 50))
users_hat = np.copy(users)
items_hat = np.copy(items)
def test_generate_recommendations(self):
dummy = DummyRecommender(self.users_hat, self.items_hat, self.user... | code_fim | hard | {
"lang": "python",
"repo": "amywinecoff/t-recs",
"path": "/trecs/tests/test_recommender.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if self.note_field is None:
return self.note_address.is_prefix_of(other.note_address)
if self.note_field == 'list':
# This branch is here to deal with descending into chords' list field. The hackyness of it arises
# from the fact that the fact that the ... | code_fim | hard | {
"lang": "python",
"repo": "expressionsofchange/nerf1",
"path": "/dsn/s_expr/note_address.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: expressionsofchange/nerf1 path: /dsn/s_expr/note_address.py
# ## Classes for note-addresses
from utils import pmts
class NoteAddress(object):
"""(Global) address of a Note, the path of that note in a with respect to some global root score."""
def __init__(self, address=()):
pm... | code_fim | hard | {
"lang": "python",
"repo": "expressionsofchange/nerf1",
"path": "/dsn/s_expr/note_address.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if self.over and mousePressed or self.locked:
self.press = True
self.locked = True
else:
self.press = False
def releaseEvent(self):
self.locked = False
def display(self):
line(self.x, self.y, self.x + self.stretch, self.y)
... | code_fim | hard | {
"lang": "python",
"repo": "jdf/processing.py",
"path": "/mode/examples/Topics/GUI/Handles/handle.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def releaseEvent(self):
self.locked = False
def display(self):
line(self.x, self.y, self.x + self.stretch, self.y)
fill(255)
stroke(0)
rect(self.boxX, self.boxY, self.size, self.size)
if self.over or self.press:
line(self.boxX, self.boxY... | code_fim | hard | {
"lang": "python",
"repo": "jdf/processing.py",
"path": "/mode/examples/Topics/GUI/Handles/handle.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jdf/processing.py path: /mode/examples/Topics/GUI/Handles/handle.py
class Handle(object):
def __init__(self, x, y, stretch, size, others):
self.x = x
self.y = y
self.stretch = stretch
self.size = size
self.boxX = self.x + self.stretch - self.size / 2
... | code_fim | hard | {
"lang": "python",
"repo": "jdf/processing.py",
"path": "/mode/examples/Topics/GUI/Handles/handle.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def get_folder(self, path):
for root, dirs, files in os.walk("{}{}".format(self.location, path)):
for f in files:
self.get_file("{}/{}".format(root.replace(self.location, ""), f))
return "Donwloaded"
def get_size(self, folder):
size = 0
... | code_fim | hard | {
"lang": "python",
"repo": "nmrkic/AssetsStore",
"path": "/assetsstore/assets/local/local_files.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: nmrkic/AssetsStore path: /assetsstore/assets/local/local_files.py
from assetsstore.assets import FileAssets
from shutil import copyfile
import pathlib
import logging
import os
logger = logging.getLogger(__name__)
class LocalFiles(FileAssets):
def __init__(self):
self.location = os... | code_fim | hard | {
"lang": "python",
"repo": "nmrkic/AssetsStore",
"path": "/assetsstore/assets/local/local_files.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>zs2 = np.array([[91.852,726.34], [93, 727], [96, 727], [97, 726], [100, 726], [103, 724], [108, 726], [112, 726], [117, 726], [121, 726], [125, 725], [130, 725], [136, 726], [142, 727], [148, 726], [154, 726], [159, 726], [167, 727], [174, 726], [180, 727], [187, 725], [196, 726], [202, 726], [210, 727], ... | code_fim | hard | {
"lang": "python",
"repo": "SaraR12/Master_Thesis",
"path": "/filterpy-master/test.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: SaraR12/Master_Thesis path: /filterpy-master/test.py
[117, 726], [121, 726], [125, 725], [130, 725], [136, 726], [142, 727], [148, 726], [154, 726],
[159, 726], [167, 727], [174, 726], [180, 727], [187, 725], [196, 726], [202, 726], [210, 727],
... | code_fim | hard | {
"lang": "python",
"repo": "SaraR12/Master_Thesis",
"path": "/filterpy-master/test.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mampfes/hacs_waste_collection_schedule path: /custom_components/waste_collection_schedule/waste_collection_schedule/source/east_northamptonshire_gov_uk.py
from datetime import datetime, timedelta
import requests
from waste_collection_schedule import Collection # type: ignore[attr-defined]
TIT... | code_fim | medium | {
"lang": "python",
"repo": "mampfes/hacs_waste_collection_schedule",
"path": "/custom_components/waste_collection_schedule/waste_collection_schedule/source/east_northamptonshire_gov_uk.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> data = r.json()
process_day = datetime.now()
while process_day.weekday() != DAYS.get(data["day"]):
process_day = process_day + timedelta(days=1)
reference_date = datetime(2022, 6, 20)
entries = []
for _ in range(10):
weeks_diff: in... | code_fim | hard | {
"lang": "python",
"repo": "mampfes/hacs_waste_collection_schedule",
"path": "/custom_components/waste_collection_schedule/waste_collection_schedule/source/east_northamptonshire_gov_uk.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> for _ in range(10):
weeks_diff: int = int((process_day - reference_date).days / 7)
if weeks_diff % 2 == 0:
bin_type = "general" if data["schedule"] == "B" else "recycling"
else:
bin_type = "recycling" if data["schedule"] == "B" el... | code_fim | hard | {
"lang": "python",
"repo": "mampfes/hacs_waste_collection_schedule",
"path": "/custom_components/waste_collection_schedule/waste_collection_schedule/source/east_northamptonshire_gov_uk.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: toastdriven/eliteracing path: /pages/views.py
from django.shortcuts import get_object_or_404, render
from .models import Page
<|fim_suffix|> page = get_object_or_404(Page, slug=slug)
return render(request, 'pages/page.html', {'page': page})<|fim_middle|>def show_page(request, slug):
| code_fim | easy | {
"lang": "python",
"repo": "toastdriven/eliteracing",
"path": "/pages/views.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> page = get_object_or_404(Page, slug=slug)
return render(request, 'pages/page.html', {'page': page})<|fim_prefix|># repo: toastdriven/eliteracing path: /pages/views.py
from django.shortcuts import get_object_or_404, render
from .models import Page
<|fim_middle|>
def show_page(request, slug):
| code_fim | easy | {
"lang": "python",
"repo": "toastdriven/eliteracing",
"path": "/pages/views.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mottaquikarim/pydev-psets path: /pset_basic_data_types/shopping_list/tests/test_p1.py
import io
import pytest
from unittest import TestCase
from unittest.mock import patch
@pytest.mark.describe('Shopping List Calculator I - Outputs')
class TestPrint(TestCase):
@pytest.mark.it('Print statem... | code_fim | hard | {
"lang": "python",
"repo": "mottaquikarim/pydev-psets",
"path": "/pset_basic_data_types/shopping_list/tests/test_p1.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> from p1 import (
item_price_1,
item_price_2,
item_price_3,
item_price_4,
item_price_5,
)
assert isinstance(item_price_1, float)
assert isinstance(item_price_2, float)
assert isinstance(item_price_3, float)... | code_fim | hard | {
"lang": "python",
"repo": "mottaquikarim/pydev-psets",
"path": "/pset_basic_data_types/shopping_list/tests/test_p1.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: asteriation/acnh-eventflow-compiler path: /bfevfl/array.py
from __future__ import annotations
from typing import Generic, Optional, Sequence, TypeVar
from bitstring import BitStream, pack
from .str_ import String
from .block import Block, DataBlock, ContainerBlock
T = TypeVar('T', bound='Bloc... | code_fim | hard | {
"lang": "python",
"repo": "asteriation/acnh-eventflow-compiler",
"path": "/bfevfl/array.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def alignment(self) -> int:
return 8
def __init__(self, items: Sequence[str]) -> None:
super().__init__([StringArray._String(item) for item in items])
self.n = len(items)
def alignment(self) -> int:
return 8<|fim_prefix|># repo: asteriation/acnh-eventf... | code_fim | hard | {
"lang": "python",
"repo": "asteriation/acnh-eventflow-compiler",
"path": "/bfevfl/array.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>class BoolArray(DataBlock):
# todo: verify true
def __init__(self, items: Sequence[bool]) -> None:
super().__init__(4 * len(items))
self.n = len(items)
for i, item in enumerate(items):
self.buffer.overwrite(pack('uintle:32', 0x80000001 if item else 0x00000000))... | code_fim | hard | {
"lang": "python",
"repo": "asteriation/acnh-eventflow-compiler",
"path": "/bfevfl/array.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: QAlexBall/Python_Module path: /PatternDesign/Proxy/proxy2.py
"""
通过付款用例展示代理模式的显示应用场景
"""
from abc import ABCMeta, abstractmethod
class Payment(metaclass=ABCMeta):
@abstractmethod
def do_pay(self):
pass
class Bank(Payment):
def __init__(self):
self.card = None
... | code_fim | hard | {
"lang": "python",
"repo": "QAlexBall/Python_Module",
"path": "/PatternDesign/Proxy/proxy2.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if self.__has_funds():
print("Bank:: Paying the merchant")
return True
else:
print("Bank:: Sorry, not enough funds!")
return False
class DebitCard(Payment):
def __init__(self):
self.bank = Bank()
def do_pay(self):
... | code_fim | hard | {
"lang": "python",
"repo": "QAlexBall/Python_Module",
"path": "/PatternDesign/Proxy/proxy2.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
print("You:: Lets buy the Denim shirt")
self.debit_card = DebitCard()
self.is_purchased = None
def make_payment(self):
self.is_purchased = self.debit_card.do_pay()
def __del__(self):
if self.is_purchased:
print("You: Wow! Denim shirt is Mi... | code_fim | hard | {
"lang": "python",
"repo": "QAlexBall/Python_Module",
"path": "/PatternDesign/Proxy/proxy2.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: skudi/python-cas-client path: /cas_client/cas_client.py
def delete_session(self, ticket):
'''
Delete a session record associated with a service ticket.
'''
assert isinstance(self.session_storage_adapter, CASSessionAdapter)
logging.debug('[CAS] Deleting sess... | code_fim | hard | {
"lang": "python",
"repo": "skudi/python-cas-client",
"path": "/cas_client/cas_client.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: skudi/python-cas-client path: /cas_client/cas_client.py
Create a session record from a service ticket.
'''
assert isinstance(self.session_storage_adapter, CASSessionAdapter)
logging.debug('[CAS] Creating session for ticket {}'.format(ticket))
self.session_sto... | code_fim | hard | {
"lang": "python",
"repo": "skudi/python-cas-client",
"path": "/cas_client/cas_client.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> '''
The CAS client's default service URL.
This can typically be overriden in any method call.
'''
return self._service_url
@property
def session_storage_adapter(self):
'''
The CAS client's session storage adapter for maintaining session sta... | code_fim | hard | {
"lang": "python",
"repo": "skudi/python-cas-client",
"path": "/cas_client/cas_client.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> dependencies = [
('pacientes', '0001_initial'),
('profesionales', '0005_auto_20190928_2338'),
('centros_de_salud', '0004_especialidad_servicio'),
]
operations = [
migrations.CreateModel(
name='Turno',
fields=[
('id', mode... | code_fim | hard | {
"lang": "python",
"repo": "cluster311/ggg",
"path": "/calendario/migrations/0001_initial.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cluster311/ggg path: /calendario/migrations/0001_initial.py
# Generated by Django 2.2.4 on 2019-09-30 22:43
from django.db import migrations, models
import django.db.models.deletion
<|fim_suffix|>
initial = True
dependencies = [
('pacientes', '0001_initial'),
('profesi... | code_fim | hard | {
"lang": "python",
"repo": "cluster311/ggg",
"path": "/calendario/migrations/0001_initial.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> initial = True
dependencies = [
('pacientes', '0001_initial'),
('profesionales', '0005_auto_20190928_2338'),
('centros_de_salud', '0004_especialidad_servicio'),
]
operations = [
migrations.CreateModel(
name='Turno',
fields=[
... | code_fim | hard | {
"lang": "python",
"repo": "cluster311/ggg",
"path": "/calendario/migrations/0001_initial.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>for p in range (1,6):
peso = float(input("Digite o peso da {}ª pessoa:".format(p)))
if p == 1:
pesomaior = peso
pesomenor = peso
else:
if peso > pesomaior:
pesomaior = peso
if peso < pesomenor:
pesomenor = peso
print(... | code_fim | medium | {
"lang": "python",
"repo": "Osmair-riamso/AulasPython",
"path": "/Aulas python downloads/ex055.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Osmair-riamso/AulasPython path: /Aulas python downloads/ex055.py
'''Faça um programa que leia o peso de cinco
pessoas. No final, mostre qual foi o maior
e o menor peso lidos. '''
<|fim_suffix|>for p in range (1,6):
peso = float(input("Digite o peso da {}ª pessoa:".format(p)))
if p == 1:... | code_fim | medium | {
"lang": "python",
"repo": "Osmair-riamso/AulasPython",
"path": "/Aulas python downloads/ex055.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> request = self.factory.get('/')
response = self.view(request)
assert response.status_code == status.HTTP_200_OK
assert response.data == {
'page_size': 25,
'page_count': 4,
'results': list(range(1, 26)),
'previous': None,
... | code_fim | hard | {
"lang": "python",
"repo": "mozilla/addons-server",
"path": "/src/olympia/api/tests/test_pagination.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> # page size and page should be ignored.
request = self.factory.get('/', {'page_size': 10, 'page': 2})
response = self.view(request)
assert response.data == {
'page_size': 1,
'page_count': 1,
'results': list(range(1, 2)),
'prev... | code_fim | hard | {
"lang": "python",
"repo": "mozilla/addons-server",
"path": "/src/olympia/api/tests/test_pagination.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
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