text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_prefix|># repo: Darkria8/Deep-Transfer-Meta-Learning path: /configs.py
save_dir = './logs'
miniImageNet_path = '/home/data3/WYX/CrossDomainFewShot-master/filelists/miniImagenet'
DTD_path = '/ssd/dtd/images/'
CUB_path = '/home/data3/WYX/cdfsl-ben<|fim_su... | code_fim | medium | {
"lang": "python",
"repo": "Darkria8/Deep-Transfer-Meta-Learning",
"path": "/configs.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> return self._window
@property
def reset_at(self) -> int:
"""Timestamp at which the rate limit will be reset"""
return int(self.window[0] + 1)
@property
def remaining(self) -> int:
"""Quantity remaining for this rate limit"""
return self.window[1]... | code_fim | hard | {
"lang": "python",
"repo": "alisaifee/flask-limiter",
"path": "/flask_limiter/wrappers.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: alisaifee/flask-limiter path: /flask_limiter/wrappers.py
from __future__ import annotations
import dataclasses
import typing
import weakref
from typing import Callable, Iterator, List, Optional, Tuple, Union
from flask import request
from flask.wrappers import Response
from limits import RateLi... | code_fim | hard | {
"lang": "python",
"repo": "alisaifee/flask-limiter",
"path": "/flask_limiter/wrappers.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return self._cost()
@property
def method_exempt(self) -> bool:
"""Check if the limit is not applicable for this method"""
return self.methods is not None and request.method.lower() not in self.methods
def scope_for(self, endpoint: str, method: Optional[str]) -> str:
... | code_fim | hard | {
"lang": "python",
"repo": "alisaifee/flask-limiter",
"path": "/flask_limiter/wrappers.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: henribru/google-ads-stubs path: /google-stubs/ads/googleads/v13/enums/types/policy_approval_status.pyi
from typing import Any
import proto
class PolicyApprovalStatusEnum(proto.Message):
class PolicyApprovalStatus(proto.Enum):
<|fim_suffix|> self,
mapping: Any | None = ...,
... | code_fim | medium | {
"lang": "python",
"repo": "henribru/google-ads-stubs",
"path": "/google-stubs/ads/googleads/v13/enums/types/policy_approval_status.pyi",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
Make prediction of batch of samples.
:param states: <np.ndarray> Input batch of states.
:return: <tf.python.framework.ops.EagerTensor> Run session.
"""
return self.model(states, training=False)
@tf.function
def train_batch(
self,
... | code_fim | hard | {
"lang": "python",
"repo": "mit-ccrg/ml4c3-mirror",
"path": "/rl4cs/model_training/nn_model.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mit-ccrg/ml4c3-mirror path: /rl4cs/model_training/nn_model.py
# Imports: standard library
from typing import List, Optional
# Imports: third party
import numpy as np
import tensorflow as tf
from tensorflow.keras import Input, Model, layers, losses, optimizers
class NNModel:
"""
Neural ... | code_fim | hard | {
"lang": "python",
"repo": "mit-ccrg/ml4c3-mirror",
"path": "/rl4cs/model_training/nn_model.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: YuhengZhi/demix path: /demix_autoencoder.py
import torch
import torch.nn as nn
from termcolor import colored
class Demix(nn.Module):
def __init__(self, mix_begin="input"):
super(Demix, self).__init__()
self.conv1 = nn.Sequential(
nn.Conv2d(3, 96, kernel_size=11,... | code_fim | hard | {
"lang": "python",
"repo": "YuhengZhi/demix",
"path": "/demix_autoencoder.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def forward(self, x, mix_ratio=0.8):
n_batch = x.size()[0]
# print(n_batch)
pic1_interm = self.independent_encode(x[:n_batch // 2])
pic2_interm = self.independent_encode(x[n_batch // 2:])
mixup_interm = mix_ratio * pic1_interm + (1 - mix_ratio) * pic2_interm
... | code_fim | hard | {
"lang": "python",
"repo": "YuhengZhi/demix",
"path": "/demix_autoencoder.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # 27 -> 27
nn.ConvTranspose2d(256, 192, 5, stride=1, padding=2),
nn.BatchNorm2d(192),
nn.ReLU(inplace=True),
# 27 -> 55
nn.ConvTranspose2d(192, 192, 3, 2),
nn.BatchNorm2d(192),
nn.ReLU(inplace=True),
... | code_fim | hard | {
"lang": "python",
"repo": "YuhengZhi/demix",
"path": "/demix_autoencoder.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>5), font, 2, (255, 255, 255), 2, cv2.LINE_AA)
cv2.imshow('Lena', image)
cv2.waitKey(0)<|fim_prefix|># repo: cassiobotaro/rivendell path: /cv/text.py
# Module to write a text into an image
import cv2
image = cv2.imread('lena.jpg')
font = cv2.FONT_HERSHEY_TRIPLEX
# cv2.putText(img, text, org, fontFace, fon... | code_fim | medium | {
"lang": "python",
"repo": "cassiobotaro/rivendell",
"path": "/cv/text.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cassiobotaro/rivendell path: /cv/text.py
# Module to write a text into an image
import cv2
image = cv2.imread('lena.jpg')
font = cv2.FONT_HERSHEY_TRIPLEX
# cv2.putText(img, text, org, fontFace, fontScale, color[, <|fim_suffix|>5), font, 2, (255, 255, 255), 2, cv2.LINE_AA)
cv2.imshow('Lena', image... | code_fim | medium | {
"lang": "python",
"repo": "cassiobotaro/rivendell",
"path": "/cv/text.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tuanquanghpvn/flask-intro path: /migrations/versions/196bcc3133cb_.py
"""empty message
Revision ID: 196bcc3133cb
Revises: 5d3ded72de8
Create Date: 2015-11-30 13:53:29.212438
"""
# revision identifiers, used by Alembic.
revision = '196bcc3133cb'
down_revision = '5d3ded72de8'
from alembic impor... | code_fim | hard | {
"lang": "python",
"repo": "tuanquanghpvn/flask-intro",
"path": "/migrations/versions/196bcc3133cb_.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def downgrade():
### commands auto generated by Alembic - please adjust! ###
op.alter_column('user', 'staff',
existing_type=mysql.TINYINT(display_width=1),
nullable=True)
op.alter_column('user', 'active',
existing_type=mysql.TINYINT(display_width=1)... | code_fim | hard | {
"lang": "python",
"repo": "tuanquanghpvn/flask-intro",
"path": "/migrations/versions/196bcc3133cb_.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: MartinHowarth/s3os path: /s3os/s3_wrapper.py
"""Wrapper around boto3 to make it simpler to use."""
import boto3
import botocore
import io
import logging
from botocore.exceptions import ClientError
from dataclasses import dataclass, field
from typing import Generator, Optional
log = logging.g... | code_fim | hard | {
"lang": "python",
"repo": "MartinHowarth/s3os",
"path": "/s3os/s3_wrapper.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> :param object_location: Location of the object to delete.
"""
s3 = boto3.client("s3")
result = s3.delete_object(
Bucket=object_location.bucket.name, Key=object_location.key
)
log.debug(f"Result of delete of {object_location}: {result}")
def generate_items_in_bucket(
b... | code_fim | hard | {
"lang": "python",
"repo": "MartinHowarth/s3os",
"path": "/s3os/s3_wrapper.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: yuxitao/tushare path: /examples/test_sqlite.py
# -*- coding: utf-8 -*-
"""
Created on Wed Aug 31 21:51:30 2016
@author: yuxitao
"""
<|fim_suffix|>#df = pd.DataFrame({'A': [1,2,3], 'B': ['a', 'b', 'c']})
#df.to_sql('db_table', engine, index=False)
#df = pd.read_sql_query('SELECT * FROM ... | code_fim | hard | {
"lang": "python",
"repo": "yuxitao/tushare",
"path": "/examples/test_sqlite.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>#engine = create_engine('sqlite:///:memory:')
#engine_mysql = create_engine('mysql+pymysql://root:xitao@127.0.0.1/test?charset=utf8')
engine_sqlite = create_engine('sqlite:///foo.db')
#df = pd.DataFrame({'A': [1,2,3], 'B': ['a', 'b', 'c']})
#df.to_sql('db_table', engine, index=False)
#df = pd... | code_fim | medium | {
"lang": "python",
"repo": "yuxitao/tushare",
"path": "/examples/test_sqlite.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> pcoss_scheduler_pkg.output.output_dict.update({(so.job, so.machine): (so, me)})
return ret
def _correct_schedule(so: scheduled_operation):
if c.PRINT_SCHEDULE_CORRECTION_MESSAGE:
print('Schedule needs correction')
else:
pass<|fim_prefix|># repo: ksazon/pcoss path: /co... | code_fim | hard | {
"lang": "python",
"repo": "ksazon/pcoss",
"path": "/code/client/pcoss_scheduler_pkg/operations.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ksazon/pcoss path: /code/client/pcoss_scheduler_pkg/operations.py
import asyncio
import time
import aiohttp
import requests
import urllib3
import pcoss_scheduler_pkg.constants as c
import pcoss_scheduler_pkg.output
from pcoss_scheduler_pkg.helpers import Measurement, scheduled_operation
urllib... | code_fim | medium | {
"lang": "python",
"repo": "ksazon/pcoss",
"path": "/code/client/pcoss_scheduler_pkg/operations.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> op_time = max(0, int(so.operation_duration-c.DEFAULT_ADDED_TIME_MS))
url = f'{so.base_url}/{so.endpoint}/{so.machine}/{int(so.item)}/{op_time}'
await asyncio.sleep(so.start_time/1000.0)
it1 = time.perf_counter()
async with session.get(url, ssl=False, timeout=600) as resp:
... | code_fim | hard | {
"lang": "python",
"repo": "ksazon/pcoss",
"path": "/code/client/pcoss_scheduler_pkg/operations.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sumitsj/workflow-web-app path: /app/models/log.py
import datetime
import enum
from ..database import db
class LogLevel(enum.Enum):
debug = "DEBUG"
info = "INFO"
warn = "WARN"
error = "ERROR"
critical = "CRITICAL"
def __str__(self):
return str(self.value)
<|fi... | code_fim | hard | {
"lang": "python",
"repo": "sumitsj/workflow-web-app",
"path": "/app/models/log.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return self.__repr__()
def __repr__(self):
return "<Log: %s - %s>" % (self.created_at.strftime('%m/%d/%Y-%H:%M:%S'), self.message)<|fim_prefix|># repo: sumitsj/workflow-web-app path: /app/models/log.py
import datetime
import enum
from ..database import db
class LogLevel(enum.Enum)... | code_fim | hard | {
"lang": "python",
"repo": "sumitsj/workflow-web-app",
"path": "/app/models/log.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __unicode__(self):
return self.__repr__()
def __repr__(self):
return "<Log: %s - %s>" % (self.created_at.strftime('%m/%d/%Y-%H:%M:%S'), self.message)<|fim_prefix|># repo: sumitsj/workflow-web-app path: /app/models/log.py
import datetime
import enum
from ..database import db
... | code_fim | hard | {
"lang": "python",
"repo": "sumitsj/workflow-web-app",
"path": "/app/models/log.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cnachi/gammapy path: /gammapy/background/template.py
# Licensed under a 3-clause BSD style license - see LICENSE.rs<|fim_suffix|>ort absolute_import, division, print_function, unicode_literals<|fim_middle|>t
"""Template background estimation.
Reference: http://adsabs.harvard.edu/abs/2003A%26A...... | code_fim | medium | {
"lang": "python",
"repo": "cnachi/gammapy",
"path": "/gammapy/background/template.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>ort absolute_import, division, print_function, unicode_literals<|fim_prefix|># repo: cnachi/gammapy path: /gammapy/background/template.py
# Licensed under a 3-clause BSD style license - see LICENSE.rs<|fim_middle|>t
"""Template background estimation.
Reference: http://adsabs.harvard.edu/abs/2003A%26A...... | code_fim | medium | {
"lang": "python",
"repo": "cnachi/gammapy",
"path": "/gammapy/background/template.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: 418sec/py-crypto-exchange-api-client path: /crypto_exchange/constants.py
# -*- coding: utf-8 -*-
# ******************* kline cycle ****************************
class KlineCycle:
KLine1Min = 1
KLine3Min = 2
KLine5Min = 3
KLine15Min = 4
KLine30Min = 5
KLine1hour = 6
K... | code_fim | hard | {
"lang": "python",
"repo": "418sec/py-crypto-exchange-api-client",
"path": "/crypto_exchange/constants.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
USDT = COMMON_USDT + OK_USDT
BTC = COMMON_BTC + OK_BTC
ETH = COMMON_ETH + OK_ETH
HT = COMMON_HT + OK_HT
@property
def usdt_symbol(self):
return [symbol.lower() for symbol in self.USDT]
@property
def btc_symbol(self):
return [symbol.lower() for symbol i... | code_fim | hard | {
"lang": "python",
"repo": "418sec/py-crypto-exchange-api-client",
"path": "/crypto_exchange/constants.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> o = PyObjCTestExceptions.alloc().init()
try:
o.raiseUnicodeName()
except objc.error as e:
if sys.version_info[0] == 2:
self.assertEqual(str(e), 'SimpleException\u1234\u2049 - hello world'.encode('utf-8'))
else:
s... | code_fim | hard | {
"lang": "python",
"repo": "apple-open-source/macos",
"path": "/pyobjc/pyobjc/pyobjc-core-2.5.1/PyObjCTest/test_exceptions.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: apple-open-source/macos path: /pyobjc/pyobjc/pyobjc-core-2.5.1/PyObjCTest/test_exceptions.py
#
# Some more tests for exception handling.
# XXX: we should centralize all exception handling tests into this file, this
# is now mostly used to check general unicode support in exceptions.
#
from _... | code_fim | hard | {
"lang": "python",
"repo": "apple-open-source/macos",
"path": "/pyobjc/pyobjc/pyobjc-core-2.5.1/PyObjCTest/test_exceptions.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: femmerling/Flask-GAE-py27 path: /utils.py
import uuid
from datetime import datetime
import re
_punct_re = re.compile(r'[\t !"#$%&\'()*\-/<=>?@\[\\\]^_`{|},.]+')
def generate_id():
return str(uuid.uuid4())
def datetime_to_unix(timestamp):
epoch = datetime.utcfromtimestamp(0)
return ... | code_fim | medium | {
"lang": "python",
"repo": "femmerling/Flask-GAE-py27",
"path": "/utils.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def unix_to_datetime(unixtime):
return datetime.utcfromtimestamp(long(unixtime))
def generate_slug(text, delim=u'-'):
extra=datetime_to_unix(datetime.now())
result = []
for word in _punct_re.split(text.lower()):
result.extend(word.split())
result = delim.join(result)
retur... | code_fim | medium | {
"lang": "python",
"repo": "femmerling/Flask-GAE-py27",
"path": "/utils.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: michaelgale/toolbox-py path: /toolbox/geometry/point.py
#! /usr/bin/env python3
#
# Copyright (C) 2020 Michael Gale
# This file is part of the legocad python module.
# Permission is hereby granted, free of charge, to any person
# obtaining a copy of this software and associated documentation
# f... | code_fim | hard | {
"lang": "python",
"repo": "michaelgale/toolbox-py",
"path": "/toolbox/geometry/point.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def floatize(self):
"""Convert co-ordinate values to floats."""
self.x = float(self.x)
self.y = float(self.y)
def move_to(self, x, y):
"""Reset x & y coordinates."""
self.x = x
self.y = y
def translate(self, x, y=None):
"""Move to new (... | code_fim | hard | {
"lang": "python",
"repo": "michaelgale/toolbox-py",
"path": "/toolbox/geometry/point.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sunpy/sunpy path: /examples/plotting/wcsaxes_map_example.py
"""
===========================
Imshow and maps coordinates
===========================
How to use imshow with a map and overplot points specified by pixel coordinates
and map coordinates.
"""
import matplotlib.pyplot as plt
import ast... | code_fim | hard | {
"lang": "python",
"repo": "sunpy/sunpy",
"path": "/examples/plotting/wcsaxes_map_example.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>################################################################################
# Using the transform command expects coordinates in degrees and not arcseconds.
map_coord = ([-300, 200] * u.arcsec)
ax.plot(map_coord[0].to('deg'), map_coord[1].to('deg'), 'o', color='white',
transform=ax.get_tran... | code_fim | hard | {
"lang": "python",
"repo": "sunpy/sunpy",
"path": "/examples/plotting/wcsaxes_map_example.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>ax.coords.grid(color='yellow', linestyle='solid', alpha=0.5)
################################################################################
# plot a point in the middle of the image
# sphinx_gallery_defer_figures
pixel_coord = [smap.data.shape[0]/2., smap.data.shape[1]/2.] * u.pix
ax.plot(pixel_coord... | code_fim | hard | {
"lang": "python",
"repo": "sunpy/sunpy",
"path": "/examples/plotting/wcsaxes_map_example.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Sets the complementary color as material's color
complementaryMat.SetParameter(c4d.MATERIAL_COLOR_COLOR, complementaryColor, c4d.DESCFLAGS_SET_0)
#Inserts the material with complementary color into the active document
doc.InsertMaterial(complementaryMat)
c4d.EventAdd()
if __nam... | code_fim | hard | {
"lang": "python",
"repo": "tdapper/cinema4d_py_sdk",
"path": "/scripts/release18/colorchooser/colorchooser_complementary.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tdapper/cinema4d_py_sdk path: /scripts/release18/colorchooser/colorchooser_complementary.py
# This example reads the color value from the active material.
# The complementary color is calculated and applied to a new material.
import c4d
from c4d.modules import colorchooser as cc
def main():
... | code_fim | medium | {
"lang": "python",
"repo": "tdapper/cinema4d_py_sdk",
"path": "/scripts/release18/colorchooser/colorchooser_complementary.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> if "thumbnail" in request.GET and self.attachment.mimetype[0:6] != "image/":
# thumbnail of non-image requested, return svg "icon"
response = HttpResponse(content_type="image/svg+xml")
response.write(svgthumbnail(self.attachment.mimetype))
else:
... | code_fim | hard | {
"lang": "python",
"repo": "tykling/socialrating",
"path": "/src/attachment/views.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> model = Attachment
pk_url_kwarg = "attachment_uuid"
permission_required = "attachment.view_attachment"
def get(self, request, *args, **kwargs):
if "thumbnail" in request.GET and self.attachment.mimetype[0:6] != "image/":
# thumbnail of non-image requested, return svg "... | code_fim | hard | {
"lang": "python",
"repo": "tykling/socialrating",
"path": "/src/attachment/views.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: tykling/socialrating path: /src/attachment/views.py
import magic
from django.views.generic.list import ListView
from django.views.generic.detail import DetailView
from django.views.generic.edit import CreateView, UpdateView, DeleteView
from django.shortcuts import redirect
from django.http impor... | code_fim | hard | {
"lang": "python",
"repo": "tykling/socialrating",
"path": "/src/attachment/views.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> mating_pool = []
for i in range(mating_pool_size):
mating_pool.append(np.random.choice(population, p=fitness))
return mating_pool
def reproduce(mating_pool,population_size,mutation_rate):
new_population = []
while len(new_population) < population_size:
parent_A = random.choice(mating_... | code_fim | hard | {
"lang": "python",
"repo": "jensengroup/GB_GA",
"path": "/GB_GA.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return new_population
def sanitize(population,scores,population_size, prune_population):
if prune_population:
smiles_list = []
population_tuples = []
for score, mol in zip(scores,population):
smiles = Chem.MolToSmiles(mol)
smiles = Chem.MolToSmiles(Chem.MolFrom... | code_fim | hard | {
"lang": "python",
"repo": "jensengroup/GB_GA",
"path": "/GB_GA.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jensengroup/GB_GA path: /GB_GA.py
'''
Written by Jan H. Jensen 2018.
Many subsequent changes inspired by https://github.com/BenevolentAI/guacamol_baselines/tree/master/graph_ga
'''
from rdkit import Chem
from rdkit.Chem import AllChem
from rdkit.Chem import Descriptors
from rdkit.Chem import rd... | code_fim | hard | {
"lang": "python",
"repo": "jensengroup/GB_GA",
"path": "/GB_GA.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: getcircle/services path: /file/actions.py
from tempfile import NamedTemporaryFile
import uuid
import boto3
from boto.s3.connection import S3ResponseError
from boto.s3.multipart import MultiPartUpload
from django.conf import settings
from service import (
actions,
validators,
)
import ser... | code_fim | hard | {
"lang": "python",
"repo": "getcircle/services",
"path": "/file/actions.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> type_validators = {
'ids': [validators.is_uuid4_list],
}
required_fields = ('ids',)
def run(self, *args, **kwargs):
files = models.File.objects.filter(
organization_id=self.parsed_token.organization_id,
pk__in=self.request.ids,
)
if ... | code_fim | hard | {
"lang": "python",
"repo": "getcircle/services",
"path": "/file/actions.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mmazeika/outlier-exposure path: /MNIST/test_calibration.py
import numpy as np
import sys
import os
import pickle
import argparse
import torch
import torch.nn as nn
import torch.backends.cudnn as cudnn
import torchvision.transforms as trn
import torchvision.datasets as dset
import torch.nn.functio... | code_fim | hard | {
"lang": "python",
"repo": "mmazeika/outlier-exposure",
"path": "/MNIST/test_calibration.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>dummy_targets = torch.ones(ood_num_examples*args.num_to_avg)
ood_data = torch.from_numpy(
np.random.uniform(size=(ood_num_examples*args.num_to_avg, 1, 28, 28),
low=0.0, high=1.0).astype(np.float32))
ood_data = torch.utils.data.TensorDataset(ood_data, dummy_targets)
ood_loader = t... | code_fim | hard | {
"lang": "python",
"repo": "mmazeika/outlier-exposure",
"path": "/MNIST/test_calibration.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: RMLio/rule-driven-resolution path: /resglass-random/run.py
#!/usr/bin/env python3
from rbo import rbo
import csv
import sys
def getVector(filename, topK):
with open(filename) as csv_file:
csv_reader = csv.reader(csv_file, delimiter=',')
myMap = {}
for row in... | code_fim | medium | {
"lang": "python",
"repo": "RMLio/rule-driven-resolution",
"path": "/resglass-random/run.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> v1 = getVector(sys.argv[1], topK)
v2 = getVector(sys.argv[2], topK)
result = rbo(v1, v2, p=0.8)
print(str(result["ext"]))
# print("res " + str(result["res"]))
# print("min " + str(result["min"]))<|fim_prefix|># repo: RMLio/rule-driven-resolution path: /resglass-random/run.py
#!/usr... | code_fim | hard | {
"lang": "python",
"repo": "RMLio/rule-driven-resolution",
"path": "/resglass-random/run.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>if __name__ == "__main__":
topK = None
if len(sys.argv) == 4:
topK = int(sys.argv[3])
v1 = getVector(sys.argv[1], topK)
v2 = getVector(sys.argv[2], topK)
result = rbo(v1, v2, p=0.8)
print(str(result["ext"]))
# print("res " + str(result["res"]))
# print("min " + str... | code_fim | medium | {
"lang": "python",
"repo": "RMLio/rule-driven-resolution",
"path": "/resglass-random/run.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>und a line at the exact indent level *and* we have sublevel
# items. This means the sublevel items have come to an end
sublevel.append(line.strip())
out.append("".join(sublevel))
sublevel = []
else:
# found a line ... | code_fim | hard | {
"lang": "python",
"repo": "trichter/inter_source_interferometry",
"path": "/util/misc.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: trichter/inter_source_interferometry path: /util/misc.py
# https://stackoverflow.com/a/35513958
def collapse_json(text, indent=4):
"""Compacts a string of json data by collapsing whitespace after the
specified indent level
NOTE: will not produce correct results when indent level is n... | code_fim | hard | {
"lang": "python",
"repo": "trichter/inter_source_interferometry",
"path": "/util/misc.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: levkovalenko/finance-ml path: /ml_model/vector_model_mnist.py
from keras.datasets import mnist
from keras.models import Model
from keras.layers import Input, Dense
from PreProcessors.csv_pre_processor_vector import PreProcessor
import matplotlib.pyplot as plt
<|fim_suffix|>X_test, Y_test = PP.ge... | code_fim | hard | {
"lang": "python",
"repo": "levkovalenko/finance-ml",
"path": "/ml_model/vector_model_mnist.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>X_test, Y_test = PP.get_test()
inp = Input(shape=(20,))
hidden_1 = Dense(hidden_size, activation='relu')(inp)
hidden_2 = Dense(hidden_size, activation='relu')(hidden_1)
out = Dense(3, activation='softmax')(hidden_2)
model = Model(input=inp, output=out)
if __name__ == "__main__":
model.compile(loss=... | code_fim | medium | {
"lang": "python",
"repo": "levkovalenko/finance-ml",
"path": "/ml_model/vector_model_mnist.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: CiaburroGiuseppe/Hands-On-Simulation-Modeling-with-Python path: /Chapter07/SciPyOptimize.py
import numpy as np
from scipy.optimize import minimize
import matplotlib.pyplot as plt
from matplotlib import cm
from matplotlib.ticker import LinearLocator, FormatStrFormatter
from mpl_toolkits.mplot... | code_fim | medium | {
"lang": "python",
"repo": "CiaburroGiuseppe/Hands-On-Simulation-Modeling-with-Python",
"path": "/Chapter07/SciPyOptimize.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>#def booth(x):
# return (x[0]+2*x[1]-7)**2+(2*x[0]+x[1]-5)**2
x = np.linspace(-10,10,100)
y = np.linspace(-10,10,100)
x, y = np.meshgrid(x, y)
z = matyas([x,y])
fig = plt.figure()
ax = fig.gca(projection='3d')
surf = ax.plot_surface(x, y, z, rstride=1, cstride=1,
cmap... | code_fim | medium | {
"lang": "python",
"repo": "CiaburroGiuseppe/Hands-On-Simulation-Modeling-with-Python",
"path": "/Chapter07/SciPyOptimize.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>x0 = np.array([-10, 10])
PowellOptimizeResults = minimize(matyas, x0, method='Powell',
options={'xtol': 1e-8, 'disp': True})
print(PowellOptimizeResults.x)<|fim_prefix|># repo: CiaburroGiuseppe/Hands-On-Simulation-Modeling-with-Python path: /Chapter07/SciPyOptimize.py
import numpy as ... | code_fim | hard | {
"lang": "python",
"repo": "CiaburroGiuseppe/Hands-On-Simulation-Modeling-with-Python",
"path": "/Chapter07/SciPyOptimize.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Entry point
"""
# Command line interface
parser = build_parser()
options = parser.parse_args()
Tester(options).run()
if __name__ == '__main__':
main()<|fim_prefix|># repo: rmaguire31/sisr path: /sisr/bin/test.py
#!/usr/bin/env python3
"""SiSR PyTorch Network training entr... | code_fim | hard | {
"lang": "python",
"repo": "rmaguire31/sisr",
"path": "/sisr/bin/test.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: rmaguire31/sisr path: /sisr/bin/test.py
#!/usr/bin/env python3
"""SiSR PyTorch Network training entry-point
"""
<|fim_suffix|>logger = logging.getLogger(__name__)
def build_parser():
"""Build CLI parser with options for train.py
"""
# Inherit package arguments
parents = sisr.bi... | code_fim | medium | {
"lang": "python",
"repo": "rmaguire31/sisr",
"path": "/sisr/bin/test.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def main():
"""Entry point
"""
# Command line interface
parser = build_parser()
options = parser.parse_args()
Tester(options).run()
if __name__ == '__main__':
main()<|fim_prefix|># repo: rmaguire31/sisr path: /sisr/bin/test.py
#!/usr/bin/env python3
"""SiSR PyTorch Network ... | code_fim | medium | {
"lang": "python",
"repo": "rmaguire31/sisr",
"path": "/sisr/bin/test.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: applegreengrape/tf-provider-demo path: /aws/api/lambda/tag.py
import json
import os
import boto3
from boto3.dynamodb.conditions import Key
import re
def get_tag(team):
dynamodb = boto3.resource('dynamodb')
table = dynamodb.Table('tag')
response = table.query(
TableName='tag',... | code_fim | hard | {
"lang": "python",
"repo": "applegreengrape/tf-provider-demo",
"path": "/aws/api/lambda/tag.py",
"mode": "psm",
"license": "CC0-1.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> if event["headers"]["Authorization"]:
tok = re.findall('Bearer\s(.*)',event["headers"]["Authorization"])
if tok[0] == os.getenv('apiTok') :
body["msg"] = "👍Yep! it is the right api key"
if event["queryStringParameters"]:
if 'team' in event["quer... | code_fim | medium | {
"lang": "python",
"repo": "applegreengrape/tf-provider-demo",
"path": "/aws/api/lambda/tag.py",
"mode": "spm",
"license": "CC0-1.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> return {
"statusCode": status_code,
"body": json.dumps(body, ensure_ascii=False),
"headers": {
"Content-Type": "application/json"
}
}<|fim_prefix|># repo: applegreengrape/tf-provider-demo path: /aws/api/lambda/tag.py
import json
... | code_fim | hard | {
"lang": "python",
"repo": "applegreengrape/tf-provider-demo",
"path": "/aws/api/lambda/tag.py",
"mode": "spm",
"license": "CC0-1.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def get_file_name(self):
return self.name
@classmethod
def get_object(cls, file_name):
if cls.get_storage().exists(file_name):
obj = cls()
obj.name = file_name
obj.file = file_name
obj.thumbnail = cls.get_thumbnail(file_name)
... | code_fim | hard | {
"lang": "python",
"repo": "Microdisseny/django-field-filemanager",
"path": "/dj_field_filemanager/models.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Microdisseny/django-field-filemanager path: /dj_field_filemanager/models.py
import io
import logging
import os
import uuid
from importlib import import_module
from urllib.parse import urljoin
from django.conf import settings as django_settings
from django.core.files.base import ContentFile
from ... | code_fim | hard | {
"lang": "python",
"repo": "Microdisseny/django-field-filemanager",
"path": "/dj_field_filemanager/models.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
Generates a document thumbnail
"""
modified = False
if self.thumbnail:
self.thumbnail.delete(save=False)
modified = True
result = self._thumbnail_save()
if result:
bytes, extension = result
filenam... | code_fim | hard | {
"lang": "python",
"repo": "Microdisseny/django-field-filemanager",
"path": "/dj_field_filemanager/models.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> Another way to represent how much EM energy there is a specific
distance away from a transmitter. Calls `field_strength_at_distance()`
internally.
Args:
power: A `float` with the EIRP of the transmitter. See `mode`
for more info on the units.
distance: A `fl... | code_fim | hard | {
"lang": "python",
"repo": "elvd/rf_sewer_pipes",
"path": "/itur_p525.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: elvd/rf_sewer_pipes path: /itur_p525.py
"""Implementation of some of the ITU-R P.525 formulas
ITU-R Recommendation P.525 (08/2019) Calculation of Free-Space Attenuation
is a short Recommendation which specifies how to calculate free-space path
loss. In addition it contains several formulas for c... | code_fim | hard | {
"lang": "python",
"repo": "elvd/rf_sewer_pipes",
"path": "/itur_p525.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: shiehinms/vminspector path: /ui/textedit.py
#!/usr/bin/env python
# Copyright (c) 2007-8 Qtrac Ltd. All rights reserved.
# This program or module is free software: you can redistribute it and/or
# modify it under the terms of the GNU General Public License as published
# by the Free Software Foun... | code_fim | hard | {
"lang": "python",
"repo": "shiehinms/vminspector",
"path": "/ui/textedit.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> exception = None
fh = None
try:
fh = QFile(self.filename)
if not fh.open(QIODevice.ReadOnly):
raise IOError, unicode(fh.errorString())
stream = QTextStream(fh)
stream.setCodec("UTF-8")
self.setPlainText(str... | code_fim | hard | {
"lang": "python",
"repo": "shiehinms/vminspector",
"path": "/ui/textedit.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: irzu/osmtilecalc path: /src/osmtilecalc/calculators.py
import math
import random
def _lon_to_x(lon, zoom_level):
"""
Converts longitude to x-axis points.
"""
return math.floor((lon + 180) / 360 * math.pow(2, zoom_level))
def _lat_to_y(lat, zoom_level):
"""
Converts lat... | code_fim | hard | {
"lang": "python",
"repo": "irzu/osmtilecalc",
"path": "/src/osmtilecalc/calculators.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
Generates url with given x,y,z params.
"""
subdomain = random.choice(["a", "b", "c"])
resource_url = "https://{0}.tile.openstreetmap.org/{1}/{2}/{3}.png"
return resource_url.format(subdomain, tile_z, tile_x, tile_y)
def get_tile_coords(bounding_box, zoom_level):
"""
I... | code_fim | hard | {
"lang": "python",
"repo": "irzu/osmtilecalc",
"path": "/src/osmtilecalc/calculators.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Wilfongjt/soke path: /soke-scripts/process/process.py
class Process():
def __init__(self, settings=None):
self.dataframe=None
self.settings=settings
self.list=[]
self.dictionary={}
def getClassName(self):
return self.__class__.__name__
<|fim_suf... | code_fim | medium | {
"lang": "python",
"repo": "Wilfongjt/soke",
"path": "/soke-scripts/process/process.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if self.settings == None:
raise Exception('Initialize settings in {}'.format(self.getClassName()))
return self.settings
def process(self):
raise Exception('Overload process() in {}'.format(self.getClassName()))
def run(self):
self.process()
... | code_fim | hard | {
"lang": "python",
"repo": "Wilfongjt/soke",
"path": "/soke-scripts/process/process.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> raise Exception('Overload process() in {}'.format(self.getClassName()))
def run(self):
self.process()
return self<|fim_prefix|># repo: Wilfongjt/soke path: /soke-scripts/process/process.py
class Process():
def __init__(self, settings=None):
self.dataframe... | code_fim | hard | {
"lang": "python",
"repo": "Wilfongjt/soke",
"path": "/soke-scripts/process/process.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> blab = bnds.astype('str')
blab[ii] = r'$t_{}$'.format(ii+1)
label = [blab[0], 's, ', blab[1], 's, ',
blab[2], 's, ', blab[3], 's']
labelL += ["".join(label)]
zips = zip(range(4), tLL, cL, bnds, labelL)
plt.figure(num=sy... | code_fim | hard | {
"lang": "python",
"repo": "aldsim/aldopt",
"path": "/uptake_curve_trad.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: aldsim/aldopt path: /uptake_curve_trad.py
import warnings
import time
import matplotlib.pyplot as plt
import numpy as np
import seaborn as sns
from ALDmodel import ALDGrowth
from core import plot_2d, plot_uq
from functools import partial
from scipy.stats import halfcauchy, triang
from sopt import... | code_fim | hard | {
"lang": "python",
"repo": "aldsim/aldopt",
"path": "/uptake_curve_trad.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> t0 = time.perf_counter()
result = func(*args)
elapsed = time.time() - t0
name = func.__name__
args = ', '.join(repr(arg) for arg in args)
result = repr(result)
print(fmt.format(**locals()))
return result
... | code_fim | medium | {
"lang": "python",
"repo": "xu6148152/Binea_Python_Project",
"path": "/FluentPython/function_decorator_closures/clockdeco.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def decorate(func):
@functools.wraps(func)
def clocked(*args):
t0 = time.perf_counter()
result = func(*args)
elapsed = time.time() - t0
name = func.__name__
args = ', '.join(repr(arg) for arg in args)
result = repr... | code_fim | medium | {
"lang": "python",
"repo": "xu6148152/Binea_Python_Project",
"path": "/FluentPython/function_decorator_closures/clockdeco.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: xu6148152/Binea_Python_Project path: /FluentPython/function_decorator_closures/clockdeco.py
#!/usr/bin/env python3
# -*- encoding: utf-8 -*-
import time
import functools
DEFAULT_FMT = '[{elapsed:0.8f}s] {name}({args}) -> {result}'
<|fim_suffix|> t0 = time.perf_counter()
... | code_fim | medium | {
"lang": "python",
"repo": "xu6148152/Binea_Python_Project",
"path": "/FluentPython/function_decorator_closures/clockdeco.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bachya/regenmaschine path: /regenmaschine/endpoints/__init__.py
"""Define API endpoint objects."""
from __future__ import annotations
from collections.abc import Awaitable, Callable
from typing import TYPE_CHECKING, Generic, TypeVar
from typing_extensions import ParamSpec
from regenmaschine.er... | code_fim | hard | {
"lang": "python",
"repo": "bachya/regenmaschine",
"path": "/regenmaschine/endpoints/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>_P = ParamSpec("_P")
_T = TypeVar("_T", dict, list, str)
class EndpointManager(Generic[_P, _T]): # pylint: disable=too-few-public-methods
"""Define an object to manage a API endpoints of a certain category."""
def __init__(self, controller: Controller) -> None:
"""Initialize.
... | code_fim | medium | {
"lang": "python",
"repo": "bachya/regenmaschine",
"path": "/regenmaschine/endpoints/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: atishay-ipsy/pyspark-stubs path: /third_party/3/pyspark/sql/_typing.pyi
from typing import Any, List, Optional, TypeVar, Union
from typing_extensions import Protocol
import datetime
import decimal
import pyspark.sql.column
import pyspark.sql.types
<|fim_suffix|>class SupportsProcess(Protocol):
... | code_fim | hard | {
"lang": "python",
"repo": "atishay-ipsy/pyspark-stubs",
"path": "/third_party/3/pyspark/sql/_typing.pyi",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>class SupportsClose(Protocol):
def close(self, error: Exception) -> None:
...<|fim_prefix|># repo: atishay-ipsy/pyspark-stubs path: /third_party/3/pyspark/sql/_typing.pyi
from typing import Any, List, Optional, TypeVar, Union
from typing_extensions import Protocol
import datetime
import decim... | code_fim | medium | {
"lang": "python",
"repo": "atishay-ipsy/pyspark-stubs",
"path": "/third_party/3/pyspark/sql/_typing.pyi",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>points = 6
random_zhen = random.choice(zhen)
print('Компьютер случайным образом загадывает название одной из шести официальных жен Ивана IV Грозного, а игрок должен его угадать.')
print('Начальное колличество баллов: ', points)
print('Жены Ивана IV Грозного:', end=' ')
for x in zhen:
print(x, end=" ")
... | code_fim | medium | {
"lang": "python",
"repo": "kseniamogucheva/pythonintask",
"path": "/ISTp/2013/MOGUCHEVA_K_S/task_7_16.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kseniamogucheva/pythonintask path: /ISTp/2013/MOGUCHEVA_K_S/task_7_16.py
#Задача 7. Вариант 16.
#Создайте игру, в которой компьютер загадывает имя одной из шести официальных жен Ивана IV Грозного, а игрок должен его угадать.
#Разработайте систему начисления очков для задачи 6, в соответствии с к... | code_fim | medium | {
"lang": "python",
"repo": "kseniamogucheva/pythonintask",
"path": "/ISTp/2013/MOGUCHEVA_K_S/task_7_16.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>random_zhen = random.choice(zhen)
print('Компьютер случайным образом загадывает название одной из шести официальных жен Ивана IV Грозного, а игрок должен его угадать.')
print('Начальное колличество баллов: ', points)
print('Жены Ивана IV Грозного:', end=' ')
for x in zhen:
print(x, end=" ")
print()
vibr_... | code_fim | medium | {
"lang": "python",
"repo": "kseniamogucheva/pythonintask",
"path": "/ISTp/2013/MOGUCHEVA_K_S/task_7_16.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ethereum/web3.py path: /tests/core/contracts/test_contract_example.py
# This file is used by the documentation as an example
# of how to write unit tests with web3.py
import pytest
import pytest_asyncio
from web3 import (
EthereumTesterProvider,
Web3,
)
from web3.eth import (
AsyncE... | code_fim | hard | {
"lang": "python",
"repo": "ethereum/web3.py",
"path": "/tests/core/contracts/test_contract_example.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # send transaction that updates the greeting
tx_hash = foo_contract.functions.setBar("testing contracts is easy").transact(
{
"from": w3.eth.accounts[1],
}
)
receipt = w3.eth.wait_for_transaction_receipt(tx_hash, 180)
# get all of the `barred` logs for the ... | code_fim | hard | {
"lang": "python",
"repo": "ethereum/web3.py",
"path": "/tests/core/contracts/test_contract_example.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>model = TechnicalAnalysis(df)
model.addATR(14)
df = model.getDataFrame()
print (df)<|fim_prefix|># repo: T-i-m-m/pycryptobot path: /script-technical-analysis.py
from models.PyCryptoBot import PyCryptoBot
from models.Trading import TechnicalAnalysis
<|fim_middle|>app = PyCryptoBot()
df = app.getHistorica... | code_fim | medium | {
"lang": "python",
"repo": "T-i-m-m/pycryptobot",
"path": "/script-technical-analysis.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: T-i-m-m/pycryptobot path: /script-technical-analysis.py
from models.PyCryptoBot import PyCryptoBot
from models.Trading import TechnicalAnalysis
<|fim_suffix|>model = TechnicalAnalysis(df)
model.addATR(14)
df = model.getDataFrame()
print (df)<|fim_middle|>app = PyCryptoBot()
df = app.getHistorica... | code_fim | medium | {
"lang": "python",
"repo": "T-i-m-m/pycryptobot",
"path": "/script-technical-analysis.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: CruelSoftware/django-market path: /src/market/models.py
# -*- coding: utf-8 -*-
import string
import random
from django.conf import settings
from django.db import models
from django.template.defaultfilters import slugify
from unidecode import unidecode
# Create your models here.
def image_upl... | code_fim | hard | {
"lang": "python",
"repo": "CruelSoftware/django-market",
"path": "/src/market/models.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> object = models.ForeignKey(Object, related_name='images')
image = models.ImageField(upload_to=image_upload_to,
null=True,
blank=True,
width_field="width",
height_field="height")
... | code_fim | hard | {
"lang": "python",
"repo": "CruelSoftware/django-market",
"path": "/src/market/models.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> class Meta:
ordering = ['id']
def __str__(self):
return '{}/{}'.format(self.object.title, self.value)
class Image(models.Model):
object = models.ForeignKey(Object, related_name='images')
image = models.ImageField(upload_to=image_upload_to,
n... | code_fim | hard | {
"lang": "python",
"repo": "CruelSoftware/django-market",
"path": "/src/market/models.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: stefantaubert/text-selection path: /src/text_selection_core_tests/sorting/random_py/test_sort_random.py
from collections import OrderedDict
from logging import getLogger
from ordered_set import OrderedSet
from text_selection_core.common import SortingDefaultParameters
from text_selection_core.... | code_fim | hard | {
"lang": "python",
"repo": "stefantaubert/text-selection",
"path": "/src/text_selection_core_tests/sorting/random_py/test_sort_random.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def test_3_1_a_b__returns_1_2_0__3_4_5():
ds = Dataset(3, "a")
ds.subsets["b"] = OrderedSet((3, 4, 5))
sel_param = SortingDefaultParameters(ds, OrderedSet(("a",)))
changed_anything = sort_random(sel_param, seed=1, logger=getLogger())
assert isinstance(changed_anything, bool)
assert changed_... | code_fim | hard | {
"lang": "python",
"repo": "stefantaubert/text-selection",
"path": "/src/text_selection_core_tests/sorting/random_py/test_sort_random.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>print('''
<div class="container">
<h1 class="text-center">Products</h1>
<hr>
<div class="row">
''')
for product in products:
search = search.lower()
completeName = f"{product['brand']} {product['p_name']}"
searchWords = search.split()
completeNameWords = completeName.lower()... | code_fim | medium | {
"lang": "python",
"repo": "brainmentorspvtltd/MSIT_AdvancePython",
"path": "/OnlineShop/cgi-bin/search.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>base.header()
print('''
<div class="container">
<h1 class="text-center">Products</h1>
<hr>
<div class="row">
''')
for product in products:
search = search.lower()
completeName = f"{product['brand']} {product['p_name']}"
searchWords = search.split()
completeNameWords = compl... | code_fim | medium | {
"lang": "python",
"repo": "brainmentorspvtltd/MSIT_AdvancePython",
"path": "/OnlineShop/cgi-bin/search.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.