text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_prefix|># repo: mononobi/pyrin path: /src/pyrin/database/interface.py
# -*- coding: utf-8 -*-
"""
database interface module.
"""
from abc import abstractmethod
from threading import Lock
from pyrin.core.structs import CoreObject, MultiSingletonMeta
from pyrin.core.exceptions import CoreNotImplementedError
cl... | code_fim | medium | {
"lang": "python",
"repo": "mononobi/pyrin",
"path": "/src/pyrin/database/interface.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> # decrement in_degree of succs
for succ in node.get_succs():
decrement_in_degree(succ)
# if in_degree is zero, append to queue
if get_in_degree(succ) == 0:
queue.append(succ)
return out<|fim_prefix|># rep... | code_fim | hard | {
"lang": "python",
"repo": "manasiumn37/public",
"path": "/genesys/genesys/codelets/graph/bfs_topological_sorter.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> # if inside queue
node = queue.pop(0)
out.append(node)
# decrement in_degree of succs
for succ in node.get_succs():
decrement_in_degree(succ)
# if in_degree is zero, append to queue
if get_in_degr... | code_fim | hard | {
"lang": "python",
"repo": "manasiumn37/public",
"path": "/genesys/genesys/codelets/graph/bfs_topological_sorter.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: manasiumn37/public path: /genesys/genesys/codelets/graph/bfs_topological_sorter.py
import copy
from .node import Node
from .graph import Graph
from .topological_sorter import TopologicalSorter
def get_in_degree(node):
return node.get_attr('__ts_in_degree')
<|fim_suffix|> # if in... | code_fim | hard | {
"lang": "python",
"repo": "manasiumn37/public",
"path": "/genesys/genesys/codelets/graph/bfs_topological_sorter.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: GafferHQ/gaffer path: /python/GafferSceneUITest/SetEditorTest.py
##########################################################################
#
# Copyright (c) 2023, Cinesite VFX Ltd. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are ... | code_fim | hard | {
"lang": "python",
"repo": "GafferHQ/gaffer",
"path": "/python/GafferSceneUITest/SetEditorTest.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>
plane = GafferScene.Plane()
plane["sets"].setValue( "A A:B A:C D E:F:G" )
path = _GafferSceneUI._SetEditor.SetPath( plane["out"], Gaffer.Context(), "/" )
self.assertTrue( path.isValid() )
self.assertFalse( path.isLeaf() )
for parent, valid in [
( "/", True ),
( "/A", True ),
( "/A/... | code_fim | hard | {
"lang": "python",
"repo": "GafferHQ/gaffer",
"path": "/python/GafferSceneUITest/SetEditorTest.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> # simple search space, represented by a dictionary
graph = {
"A": ["B", "C", "E"],
"B": ["A", "D", "E"],
"C": ["A", "F", "G"],
"D": ["B", "E"],
"E": ["A", "B", "D"],
"F": ["C"],
"G": ["C"]
}
result = bfsShortestPath(graph, "G", "D")
... | code_fim | hard | {
"lang": "python",
"repo": "melodrivemusic/CodeOfAI",
"path": "/02 - BFS II/python/02_path_example.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: melodrivemusic/CodeOfAI path: /02 - BFS II/python/02_path_example.py
def bfsShortestPath(graph, start, goal):
"""Finds shortest path between 2 nodes in a graph using BFS
Args:
graph (dict): Search space represented by a graph
start (str): Starting state
goal (str)... | code_fim | hard | {
"lang": "python",
"repo": "melodrivemusic/CodeOfAI",
"path": "/02 - BFS II/python/02_path_example.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # add node to list of checked nodes
explored.append(node)
# get neighbours if node is present, otherwise default to empty list
neighbours = graph.get(node, [])
# go through all neighbour nodes
for neighbour in neighbours:
... | code_fim | hard | {
"lang": "python",
"repo": "melodrivemusic/CodeOfAI",
"path": "/02 - BFS II/python/02_path_example.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: thunlp/OpenPrompt path: /tutorial/1.2_soft_verbalizers.py
from openprompt.data_utils.text_classification_dataset import AgnewsProcessor
dataset = {}
dataset['train'] = AgnewsProcessor().get_train_examples("./datasets/TextClassification/agnews")
# We sample a few examples to form the few-shot t... | code_fim | hard | {
"lang": "python",
"repo": "thunlp/OpenPrompt",
"path": "/tutorial/1.2_soft_verbalizers.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>optimizer_grouped_parameters2 = [
{'params': prompt_model.verbalizer.group_parameters_1, "lr":3e-5},
{'params': prompt_model.verbalizer.group_parameters_2, "lr":3e-4},
]
optimizer1 = AdamW(optimizer_grouped_parameters1, lr=3e-5)
optimizer2 = AdamW(optimizer_grouped_parameters2)
for epoch in ra... | code_fim | hard | {
"lang": "python",
"repo": "thunlp/OpenPrompt",
"path": "/tutorial/1.2_soft_verbalizers.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ykelle/spotipy-control path: /webserver.py
import random
import threading
from http.server import BaseHTTPRequestHandler, HTTPServer
from socketserver import ThreadingMixIn
from urllib.parse import urlparse, parse_qs
import json
from google.protobuf import text_format
from blob import Blob
import... | code_fim | hard | {
"lang": "python",
"repo": "ykelle/spotipy-control",
"path": "/webserver.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> if self.listener is not None:
self.listener.new_blob_status(blob)
def register_listener(self, listener):
self.listener = listener
class HTTPServerController:
def __init__(self, port):
self.port = port
self.server_address = ('', port)
self.htt... | code_fim | hard | {
"lang": "python",
"repo": "ykelle/spotipy-control",
"path": "/webserver.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.port = port
self.server_address = ('', port)
self.httpServer = MyHttpServer(self.server_address, RequestHandler)
self.register_listener = self.httpServer.register_listener
def start_server_thread(self):
thread = threading.Thread(target=self.httpServer.serv... | code_fim | hard | {
"lang": "python",
"repo": "ykelle/spotipy-control",
"path": "/webserver.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: casework/CASE-Implementation-DC3DD path: /wrapper-prototype/proto/conv-and-trans/converter.py
#NOTICE
# © 2020 The MITRE Corporation
#This software (or technical data) was produced for the U. S. Government under contract SB-1341-14-CQ-0010, and is subject to the Rights in Data-General Clause 52.... | code_fim | medium | {
"lang": "python",
"repo": "casework/CASE-Implementation-DC3DD",
"path": "/wrapper-prototype/proto/conv-and-trans/converter.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> if type_val == 'str':
con_val = str(prop_val.strip('"'))
elif type_val == 'bool':
if prop_val == 'True' or prop_val == 'true':
con_val = True
elif prop_val == 'False' or prop_val == 'false':
con_val = False
else:
print '~~~ Improp... | code_fim | hard | {
"lang": "python",
"repo": "casework/CASE-Implementation-DC3DD",
"path": "/wrapper-prototype/proto/conv-and-trans/converter.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def run():
"""Default Run Method"""
return problem62(3, 5)
if __name__ == '__main__':
print("Result: ", run())<|fim_prefix|># repo: rado0x54/project-euler path: /python/problem0062.py
#!/usr/bin/env python3
"""Project Euler - Problem 62 Module"""
def exponent_number_generator(exponent):
... | code_fim | hard | {
"lang": "python",
"repo": "rado0x54/project-euler",
"path": "/python/problem0062.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: rado0x54/project-euler path: /python/problem0062.py
#!/usr/bin/env python3
"""Project Euler - Problem 62 Module"""
def exponent_number_generator(exponent):
"Generator for exponent numbers. Unlimited"
i = 1
while True:
yield i ** exponent
i += 1
permutation_count_dic... | code_fim | medium | {
"lang": "python",
"repo": "rado0x54/project-euler",
"path": "/python/problem0062.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: TomAugspurger/dolo path: /dolo/tests/test_division.py
import unittest
class DivisionTestCase(unittest.TestCase):
def test_division(self):
import yaml
with open('examples/global_models/rbc.yaml') as f:
txt = f.read()
yaml_content = yaml.load(txt)
... | code_fim | medium | {
"lang": "python",
"repo": "TomAugspurger/dolo",
"path": "/dolo/tests/test_division.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>
from dolo.misc.yamlfile import parse_yaml_text
from dolo.symbolic.model import compute_residuals
from dolo.symbolic.symbolic import Parameter
model = parse_yaml_text(new_txt)
[y,x,p] = model.read_calibration()
i_alpha = model.parameters.index(Parameter('... | code_fim | hard | {
"lang": "python",
"repo": "TomAugspurger/dolo",
"path": "/dolo/tests/test_division.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Moms-Day/Moms-Day_Backend path: /Server/app/views/daughter/connect.py
import re
import uuid
from flask import Blueprint, request, Response
from flask_restful import Api
from flasgger import swag_from
from app.views import BaseResource, json_required, auth_required
from app.models.facility impo... | code_fim | hard | {
"lang": "python",
"repo": "Moms-Day/Moms-Day_Backend",
"path": "/Server/app/views/daughter/connect.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return '', 201
@api.resource('/plus2')
class InsertDummyDataCare(BaseResource):
def post(self):
CareWorkerModel(
id=request.json["id"],
pw=request.json["pw"],
phone_number=request.json['phoneNumber'],
name=request.json["name"],
... | code_fim | hard | {
"lang": "python",
"repo": "Moms-Day/Moms-Day_Backend",
"path": "/Server/app/views/daughter/connect.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> name = request.args.get('facilityName')
facs = FacilityModel.objects(name=re.compile(str('.*' + name + '.*')))
data = [{
'facilityCode': fac.facility_code,
'name': fac.name,
'address': fac.address,
'careWorkers': [{
'... | code_fim | hard | {
"lang": "python",
"repo": "Moms-Day/Moms-Day_Backend",
"path": "/Server/app/views/daughter/connect.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: rodekruis/shelter-database path: /migrations/versions/c5cf60c29302_add_new_section_table.py
"""add new section table
Revision ID: c5cf60c29302
Revises: c6d598fbe4bb
Create Date: 2016-06-21 13:26:54.041246
"""
<|fim_suffix|> op.create_table('section',
sa.Column('id', sa.INTEGER()... | code_fim | hard | {
"lang": "python",
"repo": "rodekruis/shelter-database",
"path": "/migrations/versions/c5cf60c29302_add_new_section_table.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> op.create_table('section',
sa.Column('id', sa.INTEGER()),
sa.Column('name', sa.String(), default=''),
sa.PrimaryKeyConstraint('id'))
op.add_column('category', sa.Column('section_id', sa.INTEGER()))
sa.ForeignKeyConstraint(['section_id'], ['section.id'])
de... | code_fim | medium | {
"lang": "python",
"repo": "rodekruis/shelter-database",
"path": "/migrations/versions/c5cf60c29302_add_new_section_table.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: GuilhermeEsdras/Mamba-3 path: /Exercícios Resolvidos/URI Online Judge/Ex 1 - Salário com Bônus.py
NOME_VENDEDOR = input()
SALARIO_BASE = float(input())
VENDAS = float(input())
<|fim_suffix|>print("TOTAL = R$ {:.2f}".format(TOTAL))<|fim_middle|>TOTAL = SALARIO_BASE + (0.15 * VENDAS)
| code_fim | easy | {
"lang": "python",
"repo": "GuilhermeEsdras/Mamba-3",
"path": "/Exercícios Resolvidos/URI Online Judge/Ex 1 - Salário com Bônus.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>print("TOTAL = R$ {:.2f}".format(TOTAL))<|fim_prefix|># repo: GuilhermeEsdras/Mamba-3 path: /Exercícios Resolvidos/URI Online Judge/Ex 1 - Salário com Bônus.py
NOME_VENDEDOR = input()
SALARIO_BASE = float(input())
VENDAS = float(input())
<|fim_middle|>TOTAL = SALARIO_BASE + (0.15 * VENDAS)
| code_fim | easy | {
"lang": "python",
"repo": "GuilhermeEsdras/Mamba-3",
"path": "/Exercícios Resolvidos/URI Online Judge/Ex 1 - Salário com Bônus.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def sum_list_mult(list_of_numbers, x):
total = 0
for num in list_of_numbers:
total = total+num
return total*x
if __name__ == "__main__":
args = (3, 6)
pw = lithops.ibm_cf_executor()
pw.call_async(my_function, args)
print(pw.get_result())
"""
The parameters ca... | code_fim | medium | {
"lang": "python",
"repo": "omerb01/pywren-ibm-cloud",
"path": "/examples/multiple_args_call_async.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: omerb01/pywren-ibm-cloud path: /examples/multiple_args_call_async.py
"""
Simple Lithops examples using one single function invocation
with multiple parameters.
You can send multiple parameters to a single call function
writing them into a list. The parameters will be mapped in
the order you wrot... | code_fim | hard | {
"lang": "python",
"repo": "omerb01/pywren-ibm-cloud",
"path": "/examples/multiple_args_call_async.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: xenotropic/python90minutes path: /example.py
user_input = ""
while ( user_input != "bananas" ):
user_input = input ( "Say<|fim_suffix|>":
print ("Hey, that's my name too!")
else: print ("Oh hello, " + user_input)<|fim_middle|> bananas or I'll keep asking for bananas! ")
print ( "Thanks, we're... | code_fim | medium | {
"lang": "python",
"repo": "xenotropic/python90minutes",
"path": "/example.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>":
print ("Hey, that's my name too!")
else: print ("Oh hello, " + user_input)<|fim_prefix|># repo: xenotropic/python90minutes path: /example.py
user_input = ""
while ( user_input != "bananas" ):
user_input = input ( "Say bananas or I'll keep asking for bananas! ")
print ( "Thanks, we're done here. <|... | code_fim | medium | {
"lang": "python",
"repo": "xenotropic/python90minutes",
"path": "/example.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> #url = f"http://127.0.0.1:8000/{url}"
url = f"https://ankileaderboard.pythonanywhere.com/{url}"
try:
if jsn:
x = requests.post(url, data=data, timeout=30).json()
else:
x = requests.post(url, data=data, timeout=30)
if response:
if x.text == response:
return x
else:
... | code_fim | medium | {
"lang": "python",
"repo": "dave-cao/Anki-Packages",
"path": "/Anki Add-Ons/41708974/api_connect.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dave-cao/Anki-Packages path: /Anki Add-Ons/41708974/api_connect.py
import json
import requests
from aqt.utils import showWarning
<|fim_suffix|> #url = f"http://127.0.0.1:8000/{url}"
url = f"https://ankileaderboard.pythonanywhere.com/{url}"
try:
if jsn:
x = requests.post(url, data=... | code_fim | medium | {
"lang": "python",
"repo": "dave-cao/Anki-Packages",
"path": "/Anki Add-Ons/41708974/api_connect.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>async def async_unload_entry(opp: OpenPeerPower, entry: ConfigEntry) -> bool:
"""Unload Gogogate2 config entry."""
return await opp.config_entries.async_unload_platforms(entry, PLATFORMS)<|fim_prefix|># repo: OpenPeerPower/core path: /openpeerpower/components/gogogate2/__init__.py
"""The gogogate... | code_fim | medium | {
"lang": "python",
"repo": "OpenPeerPower/core",
"path": "/openpeerpower/components/gogogate2/__init__.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: OpenPeerPower/core path: /openpeerpower/components/gogogate2/__init__.py
"""The gogogate2 component."""
from openpeerpower.components.cover import DOMAIN as COVER
from openpeerpower.components.sensor import DOMAIN as SENSOR
from openpeerpower.config_entries import ConfigEntry
from openpeerpower.... | code_fim | medium | {
"lang": "python",
"repo": "OpenPeerPower/core",
"path": "/openpeerpower/components/gogogate2/__init__.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
async def async_unload_entry(opp: OpenPeerPower, entry: ConfigEntry) -> bool:
"""Unload Gogogate2 config entry."""
return await opp.config_entries.async_unload_platforms(entry, PLATFORMS)<|fim_prefix|># repo: OpenPeerPower/core path: /openpeerpower/components/gogogate2/__init__.py
"""The gogogat... | code_fim | hard | {
"lang": "python",
"repo": "OpenPeerPower/core",
"path": "/openpeerpower/components/gogogate2/__init__.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: envoyproxy/envoy-perf path: /salvo/src/lib/docker_management/docker_image_builder.py
"""This module manages the steps needed to build missing docker images."""
import logging
from src.lib import (source_tree, source_manager)
from src.lib.docker_management import docker_image
from src.lib.builder... | code_fim | hard | {
"lang": "python",
"repo": "envoyproxy/envoy-perf",
"path": "/salvo/src/lib/docker_management/docker_image_builder.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> If a tag is specified use the "envoyproxy/envoy" prefix. Otherwise assume
that it is a development image and use "envoyproxy/envoy-dev"
Args:
image_tag: The tag for the Envoy docker image
Returns:
The prefix used to generate the full Envoy docker image name
"""
return "envoyproxy/en... | code_fim | hard | {
"lang": "python",
"repo": "envoyproxy/envoy-perf",
"path": "/salvo/src/lib/docker_management/docker_image_builder.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>def build_nighthawk_benchmark_image_from_source(manager: source_manager.SourceManager) -> None:
"""Build the nighthawk benchmark image from source.
Args:
manager: A SourceManager object that is a wrapper for git operations.
The source manager can navigate the commit hashes or tags to determ... | code_fim | hard | {
"lang": "python",
"repo": "envoyproxy/envoy-perf",
"path": "/salvo/src/lib/docker_management/docker_image_builder.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Set the sequence hit start coordinate (PRIVATE)."""
self._hit_start = self._prep_coord(value, "hit_end", le)
hit_start = property(
fget=_hit_start_get,
fset=_hit_start_set,
doc="Hit sequence start coordinate, defaults to None.",
)
def _query_start_g... | code_fim | hard | {
"lang": "python",
"repo": "abner-lucas/tp-cruzi-db",
"path": "/.venv/Lib/site-packages/Bio/SearchIO/_model/hsp.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: abner-lucas/tp-cruzi-db path: /.venv/Lib/site-packages/Bio/SearchIO/_model/hsp.py
eitem(
"query_strand", doc="Query strand orientation, first fragment."
)
hit_frame = singleitem(
"hit_frame", doc="Hit sequence reading frame, first fragment."
)
query_frame = singl... | code_fim | hard | {
"lang": "python",
"repo": "abner-lucas/tp-cruzi-db",
"path": "/.venv/Lib/site-packages/Bio/SearchIO/_model/hsp.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: abner-lucas/tp-cruzi-db path: /.venv/Lib/site-packages/Bio/SearchIO/_model/hsp.py
# evalue
evalue = getattr_str(self, "evalue", fmt="%.2g")
statline.append("evalue " + evalue)
# bitscore
bitscore = getattr_str(self, "bitscore", fmt="%.2f")
statline.append("... | code_fim | hard | {
"lang": "python",
"repo": "abner-lucas/tp-cruzi-db",
"path": "/.venv/Lib/site-packages/Bio/SearchIO/_model/hsp.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Wan58169/deep-loglizer path: /data_preprocess/utils.py
import random
import json
def decision(probability):
return random.random() < probability
<|fim_suffix|> with open(filename, "w") as fw:
json.dump(
obj,
fw,
sort_keys=True,
in... | code_fim | easy | {
"lang": "python",
"repo": "Wan58169/deep-loglizer",
"path": "/data_preprocess/utils.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> with open(filename, "w") as fw:
json.dump(
obj,
fw,
sort_keys=True,
indent=4,
separators=(",", ": "),
ensure_ascii=False,
)<|fim_prefix|># repo: Wan58169/deep-loglizer path: /data_preprocess/utils.py
import random... | code_fim | easy | {
"lang": "python",
"repo": "Wan58169/deep-loglizer",
"path": "/data_preprocess/utils.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.points.add((y, x))
grid[y][x] = '*'
for (my, mx) in [(-1, 0), (0, 1), (1, 0), (0, -1)]:
ny = y + my
nx = x + mx
if 0 <= ny < self.n and 0 <= nx < self.m and grid[ny][nx] == color:
self.dfs(grid,... | code_fim | hard | {
"lang": "python",
"repo": "Wizmann/ACM-ICPC",
"path": "/Leetcode/Algorithm/python/2000/01034-Coloring A Border.py",
"mode": "spm",
"license": "LicenseRef-scancode-warranty-disclaimer",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Wizmann/ACM-ICPC path: /Leetcode/Algorithm/python/2000/01034-Coloring A Border.py
class Solution(object):
def colorBorder(self, grid, r0, c0, color):
self.n = len(grid)
self.m = len(grid[0])
self.points = set()
origin = grid[r0][c0]
se... | code_fim | hard | {
"lang": "python",
"repo": "Wizmann/ACM-ICPC",
"path": "/Leetcode/Algorithm/python/2000/01034-Coloring A Border.py",
"mode": "psm",
"license": "LicenseRef-scancode-warranty-disclaimer",
"source": "the-stack-v2"
} |
<|fim_suffix|> # match = 1
# mismatch = -1
# scoring = swalign.NucleotideScoringMatrix(match, mismatch)
# test = list(tweet_entity)[:20]
# sw = swalign.LocalAlignment(scoring)
matches = entity_match(tweet_entity, news_entity)
random_matches = entity_match(tweet_entity, rand_news_entity)... | code_fim | hard | {
"lang": "python",
"repo": "dheeraj7596/HashNews",
"path": "/retriever/modifiedBM25/getEntityMatch/entity_match.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
# parser = argparse.ArgumentParser(description='pass day')
# parser.add_argument('--day', '-d')
# args = parser.parse_args()
if __name__ == '__main__':
# use this for first dataset
# day = datetime(2018, 10, int(args.day)).date()
# if (int(args.day) > 24):
# day = datetime... | code_fim | hard | {
"lang": "python",
"repo": "dheeraj7596/HashNews",
"path": "/retriever/modifiedBM25/getEntityMatch/entity_match.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: dheeraj7596/HashNews path: /retriever/modifiedBM25/getEntityMatch/entity_match.py
# get entity_matches.json and entity_matches_random.json
import pandas as pd
from collections import defaultdict
import json
import argparse
import time
from datetime import datetime, timedelta
# entity_pat... | code_fim | hard | {
"lang": "python",
"repo": "dheeraj7596/HashNews",
"path": "/retriever/modifiedBM25/getEntityMatch/entity_match.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hrabalm/ivis-arima path: /demo/data_uploader/data/ALO_process.py
#!/usr/bin/env python3
import pandas
# daily resampling
##################
df = pandas.read_csv('ALO.csv', index_col='valid')
df.index.rename('ts', inplace=True) # rename datetime field to 'ts'
df.index = pandas.to_datetime(df.i... | code_fim | hard | {
"lang": "python",
"repo": "hrabalm/ivis-arima",
"path": "/demo/data_uploader/data/ALO_process.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># filter missing values
#######################
df = pandas.read_csv('ALO.csv', index_col='valid')
df.index.rename('ts', inplace=True) # rename datetime field to 'ts'
df.index = pandas.to_datetime(df.index) # convert it to datetime
# drop missing values and the 'station' column
df.dropna(inplace=True)... | code_fim | hard | {
"lang": "python",
"repo": "hrabalm/ivis-arima",
"path": "/demo/data_uploader/data/ALO_process.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>ENDPOINT_NOT_FOUND = {
'status': 'error',
'data': 'Endpoint not found',
'type': 'ENF'
}<|fim_prefix|># repo: kradalby/sourceapi path: /errors.py
MISSING_DATA = {
'status': 'error',
'data': 'Missing data field',
'type': 'MD'
}
<|fim_middle|>NO_RESPONSE = {
'status': 'error',
... | code_fim | hard | {
"lang": "python",
"repo": "kradalby/sourceapi",
"path": "/errors.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kradalby/sourceapi path: /errors.py
MISSING_DATA = {
'status': 'error',
'data': 'Missing data field',
'type': 'MD'
}
<|fim_suffix|>NOT_VALID_JSON = {
'status': 'error',
'data': 'The JSON is not valid',
'type': 'NVJ'
}
ENDPOINT_NOT_FOUND = {
'status': 'error',
'da... | code_fim | medium | {
"lang": "python",
"repo": "kradalby/sourceapi",
"path": "/errors.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Qwaz/solved-hacking-problem path: /GoogleCTF/2021 Quals/tiramisu/crt.py
import pwnlib
import challenge_pb2
import struct
from curve import Coord, EC
from cryptography.hazmat.primitives import hashes
from cryptography.hazmat.primitives.ciphers import Cipher, algorithms, modes
from cryptography.ha... | code_fim | hard | {
"lang": "python",
"repo": "Qwaz/solved-hacking-problem",
"path": "/GoogleCTF/2021 Quals/tiramisu/crt.py",
"mode": "psm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_suffix|>def proto2key(key):
assert isinstance(key, challenge_pb2.EcdhKey)
assert key.curve == challenge_pb2.EcdhKey.CurveID.SECP224R1
x = int.from_bytes(key.public.x, "big")
y = int.from_bytes(key.public.y, "big")
return (x, y)
con = pwnlib.tubes.remote.remote("tiramisu.2021.ctfcompetition.c... | code_fim | hard | {
"lang": "python",
"repo": "Qwaz/solved-hacking-problem",
"path": "/GoogleCTF/2021 Quals/tiramisu/crt.py",
"mode": "spm",
"license": "Unlicense",
"source": "the-stack-v2"
} |
<|fim_suffix|> # compute output
output = model(images)
loss = criterion(output, target)
# measure accuracy and record loss
acc1, acc5 = accuracy(output, target, topk=(1, 5))
losses.update(loss.item(), images.size(0))
top1.update(acc1.i... | code_fim | hard | {
"lang": "python",
"repo": "allenai/hidden-networks",
"path": "/trainers/ss.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>def validate(val_loader, model, criterion, args, writer, epoch):
batch_time = AverageMeter("Time", ":6.3f", write_val=False)
losses = AverageMeter("Loss", ":.3f", write_val=False)
top1 = AverageMeter("Acc@1", ":6.2f", write_val=False)
top5 = AverageMeter("Acc@5", ":6.2f", write_val=False)
... | code_fim | hard | {
"lang": "python",
"repo": "allenai/hidden-networks",
"path": "/trainers/ss.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: allenai/hidden-networks path: /trainers/ss.py
import time
import torch
import tqdm
from utils.eval_utils import accuracy
from utils.logging import AverageMeter, ProgressMeter
from utils.net_utils import SubnetL1RegLoss
__all__ = ["train", "validate", "modifier"]
def train(train_loader, model... | code_fim | hard | {
"lang": "python",
"repo": "allenai/hidden-networks",
"path": "/trainers/ss.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kumarasakti/lms path: /app/model/person.py
class Person:
def __init__(self, name, gender, age, person_id):
<|fim_suffix|> return self.__person_id
def setName(self, name):
self.__name = name
def setAge(self, age):
self.__age = age
def setGender... | code_fim | hard | {
"lang": "python",
"repo": "kumarasakti/lms",
"path": "/app/model/person.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def setGender(self, gender):
self.__gender = gender
def setPersonId(self, person_id):
self.__person_id = person_id<|fim_prefix|># repo: kumarasakti/lms path: /app/model/person.py
class Person:
def __init__(self, name, gender, age, person_id):
self.__name = nam... | code_fim | hard | {
"lang": "python",
"repo": "kumarasakti/lms",
"path": "/app/model/person.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Runner-42/HomePortal path: /home_portal/kookboek/database.py
'''Database Models for the Kookboek application'''
from home_portal.extensions import db_kookboek as db
class RecipesIngredients(db.Model):
'''
The RecipiesIngredients class defines the attributes
required to create a many... | code_fim | hard | {
"lang": "python",
"repo": "Runner-42/HomePortal",
"path": "/home_portal/kookboek/database.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> '''
The Ingredient class defines the attributes of the ingredient
table.
'''
__bind_key__ = 'kookboek_db'
__tablename__ = 'Ingredients'
id = db.Column(
db.Integer,
primary_key=True
)
name = db.Column(
db.String(64),
unique=True,
n... | code_fim | hard | {
"lang": "python",
"repo": "Runner-42/HomePortal",
"path": "/home_portal/kookboek/database.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class Category(db.Model):
'''
The Category class defines the attributes of the category
table.
'''
__bind_key__ = 'kookboek_db'
__tablename__ = 'Categories'
id = db.Column(
db.Integer,
primary_key=True
)
name = db.Column(
db.String(64),
... | code_fim | hard | {
"lang": "python",
"repo": "Runner-42/HomePortal",
"path": "/home_portal/kookboek/database.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Beirdo/HavokMud-redux path: /src/HavokMud/bank.py
import logging
import stackless
import time
from time import sleep
from HavokMud.currency import Currency
from HavokMud.database_object import DatabaseObject
from HavokMud.eosio.action import EOSAction
from HavokMud.eosio.permission import EOSPer... | code_fim | hard | {
"lang": "python",
"repo": "Beirdo/HavokMud-redux",
"path": "/src/HavokMud/bank.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> new_rate = int(new_rate * 100.0)
self.interest_rate = new_rate
self.save_to_db()
wallet: Wallet = self.wallets.get(WalletType.Stored, None)
with wallet.transaction() as transaction:
auth = [EOSPermission(System.account_name, "active")]
param... | code_fim | hard | {
"lang": "python",
"repo": "Beirdo/HavokMud-redux",
"path": "/src/HavokMud/bank.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> wallet: Wallet = self.wallets.get(WalletType.Stored, None)
with wallet.transaction() as transaction:
auth = [EOSPermission(System.account_name, "active")]
params = {
"rate": new_rate,
}
action = EOSAction("banker", "setinteres... | code_fim | hard | {
"lang": "python",
"repo": "Beirdo/HavokMud-redux",
"path": "/src/HavokMud/bank.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: yayuchen/Disaster_pipeline_project path: /data/process_data.py
import sys
import pandas as pd
import re
import sqlite3
"""
Using process_data.py script to automatically extract raw data, transforming categories data into new features dataframe, concatenating with message dataframe to form a new... | code_fim | hard | {
"lang": "python",
"repo": "yayuchen/Disaster_pipeline_project",
"path": "/data/process_data.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> print('Cleaning data...')
df = clean_data(df)
print('Saving data...\n DATABASE: {}'.format(database_filepath))
save_data(df, database_filepath)
print('Cleaned data saved to database!')
else:
print('Please provide the filepaths o... | code_fim | hard | {
"lang": "python",
"repo": "yayuchen/Disaster_pipeline_project",
"path": "/data/process_data.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sinsai/Sahana_eden path: /modules/s3/s3import.py
# -*- coding: utf-8 -*-
""" Resource Import Tools
@see: U{B{I{S3XRC}} <http://eden.sahanafoundation.org/wiki/S3XRC>}
@requires: U{B{I{gluon}} <http://web2py.com>}
@requires: U{B{I{lxml}} <http://codespeak.net/lxml>}
@author: Dom... | code_fim | hard | {
"lang": "python",
"repo": "sinsai/Sahana_eden",
"path": "/modules/s3/s3import.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Check permission for the resource
authorised = permit("create", resource.table) and \
permit("update", resource.table)
if not authorised:
raise IOError("Insufficient permissions")
# Resource data
prefix = resource.prefix
n... | code_fim | hard | {
"lang": "python",
"repo": "sinsai/Sahana_eden",
"path": "/modules/s3/s3import.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
xml = self.manager.xml
permit = self.manager.permit
# Check permission for the resource
authorised = permit("create", resource.table) and \
permit("update", resource.table)
if not authorised:
raise IOError("Insufficient... | code_fim | hard | {
"lang": "python",
"repo": "sinsai/Sahana_eden",
"path": "/modules/s3/s3import.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: natorsc/databases-with-python path: /src/sqlite3-sqlalchemy/models.py
# -*- coding: utf-8 -*-
"""Exemplo de CRUD com Python, SQLAlchemy e SQLite3."""
from sqlalchemy import Column, Integer, String, create_engine
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import s... | code_fim | hard | {
"lang": "python",
"repo": "natorsc/databases-with-python",
"path": "/src/sqlite3-sqlalchemy/models.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """Classe representa uma tabela do banco."""
# ``__tablename__`` - Define o nome da tabela.
# Se o nome da tabela não for definido é utilizado o nome da classe.
__tablename__ = 'table_name'
# Colunas da tabela.
user_id = Column('user_id', Integer, primary_key=True)
name = Colu... | code_fim | hard | {
"lang": "python",
"repo": "natorsc/databases-with-python",
"path": "/src/sqlite3-sqlalchemy/models.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
if __name__ == "__main__":
# Removendo todas as tabelas do banco.
Base.metadata.drop_all(engine)
# Criando todas as tabelas.
Base.metadata.create_all(engine)
# Criando uma sessão (add, commit, query, etc).
session = Session()
# Criando os dados que serão inseridos na tabela... | code_fim | hard | {
"lang": "python",
"repo": "natorsc/databases-with-python",
"path": "/src/sqlite3-sqlalchemy/models.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hoonkai/realtime_object_detection path: /rod/visualizer.py
#!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
@author: www.github.com/GustavZ
"""
import collections
import numpy as np
import cv2
import random
from rod.config import Config
class Visualizer(object):
"""
Visualizer Class t... | code_fim | hard | {
"lang": "python",
"repo": "hoonkai/realtime_object_detection",
"path": "/rod/visualizer.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def _exit_visualization(self,millis=1):
"""
- sets exit variable on key 'q'
- saves screenshot on key 's'
"""
k = cv2.waitKey(millis) & 0xFF
if k == ord('q'): # wait for 'q' key to exit
print("> User exit request")
self.stopped =... | code_fim | hard | {
"lang": "python",
"repo": "hoonkai/realtime_object_detection",
"path": "/rod/visualizer.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def _draw_single_box_on_image(self,box,label,id):
"""
draws single box and label on image
"""
p1 = (box[1], box[0])
p2 = (box[3], box[2])
if self.config.DISCO_MODE:
color = random.choice(self.STANDARD_COLORS)
else:
color =... | code_fim | hard | {
"lang": "python",
"repo": "hoonkai/realtime_object_detection",
"path": "/rod/visualizer.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if verbose:
print("Clock frequencies:", freqs.tolist())
print("Power consumption:", nvml_power.tolist())
ridge_frequency, fitted_params, scaling = fit_power_frequency_model(freqs, nvml_power)
if verbose:
print(f"Modelled most energy efficient frequency: {ridge_frequen... | code_fim | hard | {
"lang": "python",
"repo": "KernelTuner/kernel_tuner",
"path": "/kernel_tuner/energy/energy.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: KernelTuner/kernel_tuner path: /kernel_tuner/energy/energy.py
"""
This module contains a set of helper functions specifically for auto-tuning codes
for energy efficiency.
"""
from collections import OrderedDict
import numpy as np
from kernel_tuner import tune_kernel, util
from kernel_tuner.obser... | code_fim | hard | {
"lang": "python",
"repo": "KernelTuner/kernel_tuner",
"path": "/kernel_tuner/energy/energy.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # fit the model
p0 = (clock_threshold, voltage_scale, clock_scale, power_max)
bounds = ([clock_min, 0, 0, 0.9*power_max],
[clock_max, 1, 1, 1.1*power_max])
res = optimize.curve_fit(estimated_power, x, y, p0=p0, bounds=bounds)
clock_threshold, voltage_scale, clock_scale, p... | code_fim | hard | {
"lang": "python",
"repo": "KernelTuner/kernel_tuner",
"path": "/kernel_tuner/energy/energy.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: DuTra01/aarin-pix-sdk path: /aarin/sdk.py
from .config import RequestOptions
from .http import HttpClient
from .resources import Collection, BankAccount, DestinationAccount, Pix
class SDK:
def __init__(self, access_token, contaBancariaIdconta=None, http_client=None, request_options=None) -> ... | code_fim | medium | {
"lang": "python",
"repo": "DuTra01/aarin-pix-sdk",
"path": "/aarin/sdk.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return Collection(request_options is not None and request_options
or self.request_options, self.http_client)
def bank_account(self, request_options=None):
return BankAccount(request_options is not None and request_options
or self.request_options, self.http_client)
... | code_fim | medium | {
"lang": "python",
"repo": "DuTra01/aarin-pix-sdk",
"path": "/aarin/sdk.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ericchen12377/BRDT-Python path: /brdt/Indicator.py
import numpy as np
class Indicator:
def __init__(self, name):
''' Constructor for this class. '''
"""
:type name: str
:rtype: int
"""
self.name = name # assign the name of distribution
d... | code_fim | hard | {
"lang": "python",
"repo": "ericchen12377/BRDT-Python",
"path": "/brdt/Indicator.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>if __name__ == '__main__':
p = Indicator(name = 'Binomial')
print(p.Binary_Indicator(prob = 0.1, R = 0.8))<|fim_prefix|># repo: ericchen12377/BRDT-Python path: /brdt/Indicator.py
import numpy as np
class Indicator:
def __init__(self, name):
''' Constructor for this class. '''
... | code_fim | hard | {
"lang": "python",
"repo": "ericchen12377/BRDT-Python",
"path": "/brdt/Indicator.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __init__(self, screen):
self.pyScreen = screen
self.position = Vector2(0,0)
image_path = "assets/Spielwelt/spielwelt.png"
self._load_texture(image_path)
def _load_texture(self, image_path):
self.background_texture = self.food_texture = pygame.i... | code_fim | medium | {
"lang": "python",
"repo": "Rosikobu/snake-reloaded",
"path": "/frame/components/background.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def _load_texture(self, image_path):
self.background_texture = self.food_texture = pygame.image.load(image_path).convert_alpha()
def draw_background(self):
background_obj = pygame.Rect(int(self.position.x),int(self.position.y),cell_size,cell_size)
self.pyScreen.blit(self.b... | code_fim | medium | {
"lang": "python",
"repo": "Rosikobu/snake-reloaded",
"path": "/frame/components/background.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Rosikobu/snake-reloaded path: /frame/components/background.py
import random
import pygame
from pygame.math import Vector2
from .loc_conf import xSize, ySize, cell_size, cell_number
class Background:
def __init__(self, screen):
<|fim_suffix|> image_path = "assets/Spielwelt/spielwelt.... | code_fim | medium | {
"lang": "python",
"repo": "Rosikobu/snake-reloaded",
"path": "/frame/components/background.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> **postprocess_params) -> Dict[str, str]:
"""process the prediction results
Args:
inputs (Dict[str, Any]): should be tensors from model
Returns:
Dict[str, str]: the prediction results
"""
text = inputs['text']
log... | code_fim | hard | {
"lang": "python",
"repo": "alldatacenter/alldata",
"path": "/ai/modelscope/modelscope/pipelines/nlp/word_segmentation_pipeline.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: alldatacenter/alldata path: /ai/modelscope/modelscope/pipelines/nlp/word_segmentation_pipeline.py
# Copyright (c) Alibaba, Inc. and its affiliates.
from typing import Any, Dict, Optional, Union
import torch
from modelscope.metainfo import Pipelines
from modelscope.models import Model
from mode... | code_fim | hard | {
"lang": "python",
"repo": "alldatacenter/alldata",
"path": "/ai/modelscope/modelscope/pipelines/nlp/word_segmentation_pipeline.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> sample_name = models.CharField(max_length=200)
description = models.TextField()
time = models.DateTimeField(default=timezone.now)
def __str__(self):
return self.sample_name<|fim_prefix|># repo: ericlee0920/2021-Data-Science-Projects path: /Project 1 miRNA Expression-Based Class... | code_fim | easy | {
"lang": "python",
"repo": "ericlee0920/2021-Data-Science-Projects",
"path": "/Project 1 miRNA Expression-Based Classification of Breast Cancer/django_assignment/database/models.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ericlee0920/2021-Data-Science-Projects path: /Project 1 miRNA Expression-Based Classification of Breast Cancer/django_assignment/database/models.py
from django.db import models
from django.utils import timezone
# Create your models here.
class Sample(models.Model):
<|fim_suffix|> def __str__... | code_fim | medium | {
"lang": "python",
"repo": "ericlee0920/2021-Data-Science-Projects",
"path": "/Project 1 miRNA Expression-Based Classification of Breast Cancer/django_assignment/database/models.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def get_changed_files(commit_range, log=False):
'''
Get a list of existing files changed in current PR
'''
cmd = "git diff --no-commit-id --name-only -r --diff-filter=M {}".format(
commit_range)
output = run_git_command(cmd, log)
return output.splitlines()
def get_commit_... | code_fim | hard | {
"lang": "python",
"repo": "JuulLabs-OSS/mynewt-travis-ci",
"path": "/utils/cli.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: JuulLabs-OSS/mynewt-travis-ci path: /utils/cli.py
#!/usr/bin/env python3
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF l... | code_fim | hard | {
"lang": "python",
"repo": "JuulLabs-OSS/mynewt-travis-ci",
"path": "/utils/cli.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Qvineox/School148 path: /api/urls.py
from django.urls import path, include
from rest_framework.authtoken.views import obtain_auth_token
<|fim_suffix|>app_name = 'api'
urlpatterns = [
path('test/', Test.as_view(), name='test'),
path('user_auth/', UserAuthView.as_view(), name='user_auth'),... | code_fim | medium | {
"lang": "python",
"repo": "Qvineox/School148",
"path": "/api/urls.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>app_name = 'api'
urlpatterns = [
path('test/', Test.as_view(), name='test'),
path('user_auth/', UserAuthView.as_view(), name='user_auth'),
path('token/', obtain_auth_token, name='obtain_token'),
path('week_lessons/', WeekLessonsView.as_view(), name='view_week_lessons'),
path('profile/<... | code_fim | medium | {
"lang": "python",
"repo": "Qvineox/School148",
"path": "/api/urls.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sbuss/tastypie-client-generator path: /tastypieclient/resources.py
class ResourceMetaClass(type):
def __new__(cls, name, bases, attrs):
super_new = super(ResourceMetaClass, cls).__new__
# Create the class.
module = attrs.pop('__module__')
new_class = super_new... | code_fim | hard | {
"lang": "python",
"repo": "sbuss/tastypie-client-generator",
"path": "/tastypieclient/resources.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
class Resource(object):
__metaclass__ = ResourceMetaClass
def __init__(self, base_url, **kwargs):
"""Initialize a Resource.
Args:
base_url: The base url to use for this Resource.
kwargs: Kwargs for the Resource subclass, as defined by that
... | code_fim | hard | {
"lang": "python",
"repo": "sbuss/tastypie-client-generator",
"path": "/tastypieclient/resources.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.price.append(price)
x = HousePlan("Alice")
print(x.name)
x.add_price(200)
"""<|fim_prefix|># repo: ayueha/python-class-assignment path: /untitled/self-study/house_hunting.py
class HousePlan:
def __init__(self, name, houseprice, savingrate, salary):
self.name = name
self.... | code_fim | hard | {
"lang": "python",
"repo": "ayueha/python-class-assignment",
"path": "/untitled/self-study/house_hunting.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ayueha/python-class-assignment path: /untitled/self-study/house_hunting.py
class HousePlan:
def __init__(self, name, houseprice, savingrate, salary):
self.name = name
self.housePrice = houseprice
self.rate = savingrate
self.salary = salary
@houseprice.sett... | code_fim | hard | {
"lang": "python",
"repo": "ayueha/python-class-assignment",
"path": "/untitled/self-study/house_hunting.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> direction = self.search_func(self.game.board)
return direction
class MyOwnAgent(Agent):
def step(self):
model.eval()
arr1=log2(np.reshape(self.game.board,newshape=(16,)))
arr1=grid_ohe(np.int_(arr1))
arr1 = torch.FloatTensor(arr1)
# place=[... | code_fim | hard | {
"lang": "python",
"repo": "StingSting/2048-api",
"path": "/game2048/agents.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
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