text stringlengths 232 16.3k | domain stringclasses 1
value | difficulty stringclasses 3
values | meta dict |
|---|---|---|---|
<|fim_prefix|># repo: vaniisgh/PyDentity path: /libs/aries-basic-controller/aries_basic_controller/controllers/action_menu.py
from .base import BaseController
from ..models.connection import Connection
from aiohttp import (
ClientSession,
)
import logging
import asyncio
class ActionMenuController(BaseController)... | code_fim | medium | {
"lang": "python",
"repo": "vaniisgh/PyDentity",
"path": "/libs/aries-basic-controller/aries_basic_controller/controllers/action_menu.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> async def close_menu(self, connection_id: str):
return await self.admin_POST(f"/action-menu/{connection_id}/close")
async def get_menu(self, connection_id: str):
return await self.admin_POST(f"/action-menu/{connection_id}/fetch")
async def request_menu(self, connection_id: st... | code_fim | medium | {
"lang": "python",
"repo": "vaniisgh/PyDentity",
"path": "/libs/aries-basic-controller/aries_basic_controller/controllers/action_menu.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # return the image
return image<|fim_prefix|># repo: KleinYuan/tf-segmentation path: /helper.py
import cv2
import urllib
import numpy as np
<|fim_middle|>def url_to_image(url):
# download the image, convert it to a NumPy array, and then read
# it into OpenCV format
resp = urllib.url... | code_fim | hard | {
"lang": "python",
"repo": "KleinYuan/tf-segmentation",
"path": "/helper.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: KleinYuan/tf-segmentation path: /helper.py
import cv2
import urllib
import numpy as np
<|fim_suffix|> # return the image
return image<|fim_middle|>
def url_to_image(url):
# download the image, convert it to a NumPy array, and then read
# it into OpenCV format
resp = urllib.url... | code_fim | hard | {
"lang": "python",
"repo": "KleinYuan/tf-segmentation",
"path": "/helper.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: KleinYuan/tf-segmentation path: /helper.py
import cv2
import urllib
import numpy as np
<|fim_suffix|> # download the image, convert it to a NumPy array, and then read
# it into OpenCV format
resp = urllib.urlopen(url)
image = np.asarray(bytearray(resp.read()), dtype=np.uint8)
... | code_fim | easy | {
"lang": "python",
"repo": "KleinYuan/tf-segmentation",
"path": "/helper.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hilam/python-framework path: /app/http/providers/view.py
from jinja2 import Template
from jinja2 import Environment, PackageLoader, select_autoescape
<|fim_suffix|> # Blade Template Engine
# file = file.read()
# file = re.sub(r'(\s*)@if(\s*\(.*\))', r'{% if \2 %}', file)
# file =... | code_fim | hard | {
"lang": "python",
"repo": "hilam/python-framework",
"path": "/app/http/providers/view.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return env.get_template(template + '.html').render(dictionary)
# Blade Template Engine
# file = file.read()
# file = re.sub(r'(\s*)@if(\s*\(.*\))', r'{% if \2 %}', file)
# file = re.sub(r'@endif', r'{% endif %}', file)
# file = re.sub(r'@else', r'{% else %}', file)
# tem... | code_fim | medium | {
"lang": "python",
"repo": "hilam/python-framework",
"path": "/app/http/providers/view.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Scarygami/aoc2020 path: /08/day8.py
import os
from collections import defaultdict
currentdir = os.path.dirname(os.path.abspath(__file__))
def parse_input(filename):
code = []
with open(filename) as f:
lines = f.read().splitlines()
for line in lines:
... | code_fim | medium | {
"lang": "python",
"repo": "Scarygami/aoc2020",
"path": "/08/day8.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> code = parse_input(filename)
(_, acc, _) = execute(code)
return acc
def part2(filename):
code = parse_input(filename)
# Run once so we only need to check the jmps/nops that are actually visited
(_, _, visited) = execute(code)
for ip in visited:
if code[i... | code_fim | hard | {
"lang": "python",
"repo": "Scarygami/aoc2020",
"path": "/08/day8.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> ip = 0
acc = 0
visited = defaultdict(int)
while visited[ip] == 0:
visited[ip] = visited[ip] + 1
if code[ip][0] == "acc":
acc = acc + code[ip][1]
ip = ip + 1
elif code[ip][0] == "nop":
ip = ip + 1
elif code[ip... | code_fim | hard | {
"lang": "python",
"repo": "Scarygami/aoc2020",
"path": "/08/day8.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> if i < len(l[code]) - 1:
if (l[code][i]+l[code][i+1]) not in check:
check.append(l[code][i]+l[code][i+1])
print(len(check))<|fim_prefix|># repo: srijan-singh/CodeChef path: /Easy/Distinct Codes (DISTCODE)/distinct.py
t = int(input())
l = []
for i in range(t):
... | code_fim | medium | {
"lang": "python",
"repo": "srijan-singh/CodeChef",
"path": "/Easy/Distinct Codes (DISTCODE)/distinct.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: srijan-singh/CodeChef path: /Easy/Distinct Codes (DISTCODE)/distinct.py
t = int(input())
l = []
for i in range(t):
a = input()
l.append(a)
f<|fim_suffix|> if i < len(l[code]) - 1:
if (l[code][i]+l[code][i+1]) not in check:
check.append(l[code][i]+l[c... | code_fim | medium | {
"lang": "python",
"repo": "srijan-singh/CodeChef",
"path": "/Easy/Distinct Codes (DISTCODE)/distinct.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: natestedman/Observatory path: /observatory/dashboard/fetch.py
#! /usr/bin/env python
# Copyright (c) 2010, individual contributors (see AUTHORS file)
#
# Permission to use, copy, modify, and/or distribute this software for any
# purpose with or without fee is hereby granted, provided that the ab... | code_fim | hard | {
"lang": "python",
"repo": "natestedman/Observatory",
"path": "/observatory/dashboard/fetch.py",
"mode": "psm",
"license": "ISC",
"source": "the-stack-v2"
} |
<|fim_suffix|>this_dir = os.path.abspath(os.path.dirname(__file__))
blogs_script = os.path.join(this_dir, "fetch", "fetch_blogs.py")
repos_script = os.path.join(this_dir, "fetch", "fetch_repositories.py")
blogs = subprocess.Popen([python, blogs_script])
repos = subprocess.Popen([python, repos_script])
blogs.wait()
re... | code_fim | medium | {
"lang": "python",
"repo": "natestedman/Observatory",
"path": "/observatory/dashboard/fetch.py",
"mode": "spm",
"license": "ISC",
"source": "the-stack-v2"
} |
<|fim_suffix|> if self.botfront_test_regex.match(sender_id):
return self.test_trackers.get(sender_id)
last_index = self._get_last_index(sender_id)
# retreive all new info since the last sync (given by last index)
new_tracker_info = self._fetch_tracker(sender_id, last_index)
... | code_fim | hard | {
"lang": "python",
"repo": "guilherme1guy/rasa-for-botfront",
"path": "/rasa_addons/core/tracker_stores/botfront.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: guilherme1guy/rasa-for-botfront path: /rasa_addons/core/tracker_stores/botfront.py
import logging
import jsonpickle
import requests
import time
import os
import re
from threading import Thread
from rasa.core.tracker_store import TrackerStore
from rasa.shared.core.trackers import DialogueStateTra... | code_fim | hard | {
"lang": "python",
"repo": "guilherme1guy/rasa-for-botfront",
"path": "/rasa_addons/core/tracker_stores/botfront.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> serialized_tracker = self._serialize_tracker_to_dict(canonical_tracker)
sender_id = canonical_tracker.sender_id
if self.botfront_test_regex.match(sender_id):
self.test_trackers[sender_id] = canonical_tracker
return serialized_tracker["events"]
# call... | code_fim | hard | {
"lang": "python",
"repo": "guilherme1guy/rasa-for-botfront",
"path": "/rasa_addons/core/tracker_stores/botfront.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: aiaudit-org/health-aiaudit-public path: /scripts/workers/code_upload_submission_worker.py
import json
import logging
import os
import signal
import urllib.request
import yaml
from worker_utils import EvalAI_Interface
from kubernetes import client
# TODO: Add exception in all the commands
from... | code_fim | hard | {
"lang": "python",
"repo": "aiaudit-org/health-aiaudit-public",
"path": "/scripts/workers/code_upload_submission_worker.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>def install_gpu_drivers(api_instance):
"""Function to get the status of a running job on AWS EKS cluster
Arguments:
api_instance {[AWS EKS API object]} -- API object for creating deamonset
"""
logging.info("Installing Nvidia-GPU Drivers ...")
link = "https://raw.githubuserconte... | code_fim | hard | {
"lang": "python",
"repo": "aiaudit-org/health-aiaudit-public",
"path": "/scripts/workers/code_upload_submission_worker.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|>
if __name__ == "__main__":
rospy.init_node("led_sub")
sub = rospy.Subscriber('led_flash_str', String, string_check)
rospy.spin()<|fim_prefix|># repo: koseking/robo_kadai path: /robo_kadai-master/scripts/flash_sub.py
#!/usr/bin/env python
import rospy
from std_msgs.msg import String
<|fim_m... | code_fim | medium | {
"lang": "python",
"repo": "koseking/robo_kadai",
"path": "/robo_kadai-master/scripts/flash_sub.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: koseking/robo_kadai path: /robo_kadai-master/scripts/flash_sub.py
#!/usr/bin/env python
import rospy
from std_msgs.msg import String
<|fim_suffix|>
if __name__ == "__main__":
rospy.init_node("led_sub")
sub = rospy.Subscriber('led_flash_str', String, string_check)
rospy.spin()<|fim_m... | code_fim | medium | {
"lang": "python",
"repo": "koseking/robo_kadai",
"path": "/robo_kadai-master/scripts/flash_sub.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
should be able to search for hashtags by their name and return 200
"""
user = make_user()
headers = make_authentication_headers_for_user(user)
amount_of_hashtags_to_search_for = 5
for i in range(0, amount_of_hashtags_to_search_for):
... | code_fim | hard | {
"lang": "python",
"repo": "OkunaOrg/okuna-api",
"path": "/openbook_hashtags/tests/test_hashtags.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
should not be able to search for a reported hashtag and return 200
"""
user = make_user()
headers = make_authentication_headers_for_user(user)
hashtag_name = make_hashtag_name()
hashtag = make_hashtag(name=hashtag_name)
report_category ... | code_fim | hard | {
"lang": "python",
"repo": "OkunaOrg/okuna-api",
"path": "/openbook_hashtags/tests/test_hashtags.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: OkunaOrg/okuna-api path: /openbook_hashtags/tests/test_hashtags.py
# Create your tests here.
import random
from django.urls import reverse
from faker import Faker
from rest_framework import status
from openbook_common.tests.helpers import make_user, make_authentication_headers_for_user, make_ha... | code_fim | hard | {
"lang": "python",
"repo": "OkunaOrg/okuna-api",
"path": "/openbook_hashtags/tests/test_hashtags.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>from alembic import op
import sqlalchemy as sa
def upgrade():
op.create_table('roles',
sa.Column('id', sa.Integer(), nullable=False, primary_key=True),
sa.Column('name', sa.String(length=128), nullable=False),
sa.Column('permissions_json', sa.Text(), nullable=False),
sa.Column('descript... | code_fim | medium | {
"lang": "python",
"repo": "xferra/ggrc-core",
"path": "/src/ggrc_basic_permissions/migrations/versions/20130627032526_3bf5430a8c6f_add_roles_and_permis.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: xferra/ggrc-core path: /src/ggrc_basic_permissions/migrations/versions/20130627032526_3bf5430a8c6f_add_roles_and_permis.py
# Copyright (C) 2016 Google Inc.
# Licensed under http://www.apache.org/licenses/LICENSE-2.0 <see LICENSE file>
"""Add roles and permissions tables
Revision ID: 3bf5430a8c6... | code_fim | medium | {
"lang": "python",
"repo": "xferra/ggrc-core",
"path": "/src/ggrc_basic_permissions/migrations/versions/20130627032526_3bf5430a8c6f_add_roles_and_permis.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>def upgrade():
op.create_table('roles',
sa.Column('id', sa.Integer(), nullable=False, primary_key=True),
sa.Column('name', sa.String(length=128), nullable=False),
sa.Column('permissions_json', sa.Text(), nullable=False),
sa.Column('description', sa.Text(), nullable=True),
sa.Column('... | code_fim | medium | {
"lang": "python",
"repo": "xferra/ggrc-core",
"path": "/src/ggrc_basic_permissions/migrations/versions/20130627032526_3bf5430a8c6f_add_roles_and_permis.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> for i in range(lng):
numbers.append(int(input("Enter a number")))
print("validating...\n")
validate(numbers)
fill_list(int(input("Enter the list lenght...\n")))<|fim_prefix|># repo: antoniotorresz/python path: /py/Logical/validate_list.py
#validate if all numbers are > n in a list
n... | code_fim | hard | {
"lang": "python",
"repo": "antoniotorresz/python",
"path": "/py/Logical/validate_list.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: antoniotorresz/python path: /py/Logical/validate_list.py
#validate if all numbers are > n in a list
numbers = []
is_valid = True
<|fim_suffix|>def fill_list(lng):
for i in range(lng):
numbers.append(int(input("Enter a number")))
print("validating...\n")
validate(numbers)
f... | code_fim | hard | {
"lang": "python",
"repo": "antoniotorresz/python",
"path": "/py/Logical/validate_list.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cohesity/management-sdk-python path: /cohesity_management_sdk/models/create_remote_vault_search_job_parameters.py
# -*- coding: utf-8 -*-
# Copyright 2023 Cohesity Inc.
import cohesity_management_sdk.models.vault_encryption_key
class CreateRemoteVaultSearchJobParameters(object):
"""Implem... | code_fim | hard | {
"lang": "python",
"repo": "cohesity/management-sdk-python",
"path": "/cohesity_management_sdk/models/create_remote_vault_search_job_parameters.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> job_uids=None,
cluster_id=None,
cluster_match_string=None,
encryption_keys=None,
end_time_usecs=None,
job_match_string=None,
search_job_name=None,
start_time_usecs=None,
... | code_fim | hard | {
"lang": "python",
"repo": "cohesity/management-sdk-python",
"path": "/cohesity_management_sdk/models/create_remote_vault_search_job_parameters.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> @classmethod
def from_dictionary(cls,
dictionary):
"""Creates an instance of this model from a dictionary
Args:
dictionary (dictionary): A dictionary representation of the object as
obtained from the deserialization of the server's r... | code_fim | hard | {
"lang": "python",
"repo": "cohesity/management-sdk-python",
"path": "/cohesity_management_sdk/models/create_remote_vault_search_job_parameters.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: renovate-tests/pipelines path: /sdk/python/kfp/containers/entrypoint.py
# Copyright 2021 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.... | code_fim | hard | {
"lang": "python",
"repo": "renovate-tests/pipelines",
"path": "/sdk/python/kfp/containers/entrypoint.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> Args:
uri: The uri holds the input artifact.
metadata_file: The location of the metadata JSON file output by the
producer step.
output_name: The output name of the artifact in producer step.
Raises:
ValueError: when neither of the following is true:
1) uri ... | code_fim | hard | {
"lang": "python",
"repo": "renovate-tests/pipelines",
"path": "/sdk/python/kfp/containers/entrypoint.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def get_artifact(self) -> artifact.Artifact:
"""Gets an artifact object by parsing metadata or creating one from uri."""
if self.metadata_file and self.output_name:
return entrypoint_utils.get_artifact_from_output(
self.metadata_file, self.output_name)
else:
# Provide a... | code_fim | hard | {
"lang": "python",
"repo": "renovate-tests/pipelines",
"path": "/sdk/python/kfp/containers/entrypoint.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> cache_path = 'largecache/'
feat_name = 'feat.dat'
lbl_name = 'lbl.dat'
feat_len = 4224 #1088
now = datetime.now()
lbl_memmap = np.memmap(path.join(cache_path, lbl_name), dtype='uint8', mode='r')
feat_memmap = np.memmap(path.join(cache_path, feat_name), dtype='float32', mode='r'... | code_fim | medium | {
"lang": "python",
"repo": "erfannoury/SuperEdge",
"path": "/Codes/SuperEdge/SuperEdge/train_classifier.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: erfannoury/SuperEdge path: /Codes/SuperEdge/SuperEdge/train_classifier.py
import numpy as np
from extract_feature import VGG16Extractor
from poisson_disc import PoissonDiskSampler
from datetime import datetime
from bsds500 import BSDS
from sklearn.externals import joblib
import xgboost as xgb
im... | code_fim | medium | {
"lang": "python",
"repo": "erfannoury/SuperEdge",
"path": "/Codes/SuperEdge/SuperEdge/train_classifier.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: jphaser/encryptfinance path: /encryptfinance/flatpages_main/models.py
from __future__ import absolute_import
import os
import random
from django.utils.translation import gettext_lazy as _
from django.db.models import (
BooleanField,
CharField,
TextField,
ImageField,
)
<|fim_suf... | code_fim | medium | {
"lang": "python",
"repo": "jphaser/encryptfinance",
"path": "/encryptfinance/flatpages_main/models.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> class Meta:
verbose_name = "FAQ"
verbose_name_plural = "FAQs"
ordering = ["created"]
def __str__(self):
return self.question<|fim_prefix|># repo: jphaser/encryptfinance path: /encryptfinance/flatpages_main/models.py
from __future__ import absolute_import
import o... | code_fim | hard | {
"lang": "python",
"repo": "jphaser/encryptfinance",
"path": "/encryptfinance/flatpages_main/models.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: konradkonrad/raiden-service-bundle path: /build/synapse/render_config_template.py
import json
import os
import random
import string
from pathlib import Path
from urllib.error import URLError
from urllib.request import urlopen
PATH_CONFIG = Path("/config/synapse.yaml")
PATH_CONFIG_TEMPLATE = Path... | code_fim | hard | {
"lang": "python",
"repo": "konradkonrad/raiden-service-bundle",
"path": "/build/synapse/render_config_template.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> content = {"m.server": f"{server_name}:443"}
PATH_WELL_KNOWN_FILE.write_text(json.dumps(content, indent=2))
def main() -> None:
url_known_federation_servers = os.environ.get(
"URL_KNOWN_FEDERATION_SERVERS", URL_KNOWN_FEDERATION_SERVERS_DEFAULT
)
server_name = os.environ["SERV... | code_fim | hard | {
"lang": "python",
"repo": "konradkonrad/raiden-service-bundle",
"path": "/build/synapse/render_config_template.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
def render_well_known_file(server_name: str) -> None:
content = {"m.server": f"{server_name}:443"}
PATH_WELL_KNOWN_FILE.write_text(json.dumps(content, indent=2))
def main() -> None:
url_known_federation_servers = os.environ.get(
"URL_KNOWN_FEDERATION_SERVERS", URL_KNOWN_FEDERATION_S... | code_fim | hard | {
"lang": "python",
"repo": "konradkonrad/raiden-service-bundle",
"path": "/build/synapse/render_config_template.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: paul-ollis/cleversheep3 path: /Prog/LazyImport.py
"""Paul's paten lazy import mechanism.
TODO:
"""
import sys
class Proxy:
def __init__(self, name):
object.__setattr__(self, "_name", name)
object.__setattr__(self, "__getattribute__", Proxy._getattribute__)
def __getat... | code_fim | medium | {
"lang": "python",
"repo": "paul-ollis/cleversheep3",
"path": "/Prog/LazyImport.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> if name in sys.modules:
return sys.modules[name]
proxy = Proxy(name)
sys.modules[name] = proxy
lazy("zlib")
import zlib
print(zlib)
print(dir(zlib))
print(zlib.compress)<|fim_prefix|># repo: paul-ollis/cleversheep3 path: /Prog/LazyImport.py
"""Paul's paten lazy import mechanism.
... | code_fim | medium | {
"lang": "python",
"repo": "paul-ollis/cleversheep3",
"path": "/Prog/LazyImport.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>class Post(mixins.ReducedDateStartAndEndMixin, mixins.TimeTrackingMixin,
mixins.OptionalLabelAndRoleMixin, models.Model):
"""
Information about a given Post that a Person hold within an Organization
See: http://popoloproject.com/schemas/post.json
"""
organization = models.Fore... | code_fim | hard | {
"lang": "python",
"repo": "texas/tx_people",
"path": "/tx_people/models.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: texas/tx_people path: /tx_people/models.py
from django.db import models
from model_utils.managers import InheritanceManager
from . import fields
from . import mixins
from .conf import settings
class Race(models.Model):
"""
Custom ManyToMany field to handle race.
Currently does no... | code_fim | hard | {
"lang": "python",
"repo": "texas/tx_people",
"path": "/tx_people/models.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: RENCI/pdspi-fhir-example path: /ingest.py
import argparse
import os
import json
import requests
import logging
from tx.fhir.utils import bundle, unbundle
from tx.logging.utils import getLogger
from convert import mapping_pcornet_to_fhir
from joblib import Parallel, delayed
import contextlib
impor... | code_fim | hard | {
"lang": "python",
"repo": "RENCI/pdspi-fhir-example",
"path": "/ingest.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> rescs = unbundle(obj).value
nrescs = len(rescs)
logger.debug(f"{nrescs} resources loaded")
maxlen = 1024
for i in range(0, nrescs, maxlen):
subrescs = rescs[i: min(i+maxlen, nrescs)]
subobj = bundle(subrescs)
logger.debug(f"ingest... | code_fim | hard | {
"lang": "python",
"repo": "RENCI/pdspi-fhir-example",
"path": "/ingest.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>logger = getLogger(f"{__name__}{os.getpid()}", logging.INFO)
def timeit(method):
def timed(*args, **kwargs):
logger = getLogger(f"{__name__}{os.getpid()}", logging.INFO)
ts = time.time()
result = method(*args, **kwargs)
te = time.time()
logger.info(f"{method.__... | code_fim | hard | {
"lang": "python",
"repo": "RENCI/pdspi-fhir-example",
"path": "/ingest.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> return "{} {}".format(self.first_name, self.last_name)
def __str__(self):
return self.full_name<|fim_prefix|># repo: rattboi/musicbot path: /models/user.py
from database import BaseModel
from peewee import CharField, BooleanField
class User(BaseModel):
<|fim_middle|> id = CharFi... | code_fim | hard | {
"lang": "python",
"repo": "rattboi/musicbot",
"path": "/models/user.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> @property
def username(self):
return "{}{}".format(self.first_name.lower(), self.last_name.lower()).replace(" ", "")
@property
def full_name(self):
return "{} {}".format(self.first_name, self.last_name)
def __str__(self):
return self.full_name<|fim_prefix|># r... | code_fim | medium | {
"lang": "python",
"repo": "rattboi/musicbot",
"path": "/models/user.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: rattboi/musicbot path: /models/user.py
from database import BaseModel
from peewee import CharField, BooleanField
<|fim_suffix|> return "{} {}".format(self.first_name, self.last_name)
def __str__(self):
return self.full_name<|fim_middle|>class User(BaseModel):
id = CharFi... | code_fim | hard | {
"lang": "python",
"repo": "rattboi/musicbot",
"path": "/models/user.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: babusekaran/BDD-Step-Document-Generator path: /scripts/Step_Doc_Generator.py
'''
Author : Babu Sekaran
Description : This script collects all the steps added in your python step files
inside the pointed directory.
Note : BDD step implementation of lettuce, Behave, Squish
'''
from os import li... | code_fim | hard | {
"lang": "python",
"repo": "babusekaran/BDD-Step-Document-Generator",
"path": "/scripts/Step_Doc_Generator.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>def main():
steps_dir = "D:\steps"
if isdir(steps_dir) : pass
else : raise LookupError("Add a valid step dirctory to proceed")
a = BDD_step_collector(steps_dir)
a.find_steps()
step_json = []
for index , file , step in a.steps:
#sj = {}
#sj["step_file"] = str(file)
#sj["step_index"] = str(ind... | code_fim | hard | {
"lang": "python",
"repo": "babusekaran/BDD-Step-Document-Generator",
"path": "/scripts/Step_Doc_Generator.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: colinmegill/web_learning_arduino_demo path: /io.py
def parseLine(line):
try:
ID,led0,led1,led2,led3,relDistance = line.rstrip().split(' ')
except:
raise Exception('Incorrectly formatted input line: ' + line +'.\n' +
'Are you sure it has enough fi... | code_fim | medium | {
"lang": "python",
"repo": "colinmegill/web_learning_arduino_demo",
"path": "/io.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> try:
relDistance = float(relDistance)
except:
raise Exception('Relative distance ' + relDistance + ' cannot be interpreted as a float')
return ID,currState,relDistance<|fim_prefix|># repo: colinmegill/web_learning_arduino_demo path: /io.py
def parseLine(line):
try:
... | code_fim | medium | {
"lang": "python",
"repo": "colinmegill/web_learning_arduino_demo",
"path": "/io.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> Charting(self,portfolio_coins,fixed_balance,allocation)
#Update piechart with new values
def update(val):
def autopct_format(values):
def my_format(pct):
y= list(map(float, values))
total = sum(y)
... | code_fim | hard | {
"lang": "python",
"repo": "thes3cr3t1/BinanceBalance",
"path": "/binance-balance.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> def display_error(self, title, error, quit_on_exit=False):
self.quit_on_exit = quit_on_exit
self.top = tk.Toplevel()
self.top.title('Login Error')
msg = tk.Message(self.top, text=error)
msg.grid(row=0, column=0)
button = tk.Button(self.top, text="Dismiss... | code_fim | hard | {
"lang": "python",
"repo": "thes3cr3t1/BinanceBalance",
"path": "/binance-balance.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: thes3cr3t1/BinanceBalance path: /binance-balance.py
up the new dialog window
self.window = tk.Toplevel(self.master)
self.window.geometry("1000x600") #Width x Height
#Read the current portfolio allocations from allocation.csv
#Do allocation.csv error checking
... | code_fim | hard | {
"lang": "python",
"repo": "thes3cr3t1/BinanceBalance",
"path": "/binance-balance.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> trainer.step(opt.batch_size)
# epoch finish
logger.info('[Epoch {} finish]: total {} batches, use {} seconds, speed: {:.1f} s/batch'.format(epoch+1, i+1, time.time()-start_time,
float((time.... | code_fim | hard | {
"lang": "python",
"repo": "helloholmes/dog_detection_gluoncv",
"path": "/main.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> # --------------------rpn loss------------------------
rpn_score = rpn_score.squeeze(axis=-1)
num_rpn_pos = (rpn_cls_targets >= 0).sum()
rpn_loss1 = rpn_cls_loss(rpn_score, rpn_cls_targets, rpn_cls_targets>=0) * rpn_cls_targets.size / num_rpn... | code_fim | hard | {
"lang": "python",
"repo": "helloholmes/dog_detection_gluoncv",
"path": "/main.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: helloholmes/dog_detection_gluoncv path: /main.py
# coding:utf-8
'''
python 3.5
mxnet 1.3.0
gluoncv 0.3.0
visdom 0.1.7
gluonbook 0.6.9
auther: helloholmes
'''
import mxnet as mx
import numpy as np
import os
os.environ['MXNET_CUDNN_AUTOTUNE_DEFAULT'] = '0'
import logging
import time
import pickle
i... | code_fim | hard | {
"lang": "python",
"repo": "helloholmes/dog_detection_gluoncv",
"path": "/main.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: gitter-badger/HWToolkit path: /hdl_toolkit/synthesizer/codeOps.py
from operator import and_, or_
import types
from hdl_toolkit.hdlObjects.operatorDefs import concatFn
from hdl_toolkit.hdlObjects.specialValues import DIRECTION
from hdl_toolkit.hdlObjects.typeShortcuts import hInt, vec
from hdl_to... | code_fim | hard | {
"lang": "python",
"repo": "gitter-badger/HWToolkit",
"path": "/hdl_toolkit/synthesizer/codeOps.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> """
Connect src (signals/interfaces/values) to all destinations
@param exclude: interfaces on any level on src or destinations
which should be excluded from connection process
@param fit: auto fit source width to destination width
"""
assignemnts = []
for dst ... | code_fim | hard | {
"lang": "python",
"repo": "gitter-badger/HWToolkit",
"path": "/hdl_toolkit/synthesizer/codeOps.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: X5GON/lamapi path: /services/ordonize/continuouswikification2order/reordonize/core.py
from components.dataconnection.index import get_experimental_features
from x5gonwp3tools.tools.continuouswikification2order.continuouswikification2order import reordonize
from SETTINGS import EXP_IDS
<|fim_suff... | code_fim | hard | {
"lang": "python",
"repo": "X5GON/lamapi",
"path": "/services/ordonize/continuouswikification2order/reordonize/core.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> cands_cwk = get_experimental_features(candidate_ids, [__DEFAULT_EXPID_SETTING["SIMPLE"]])
res_cwk = get_experimental_features([resource_id], [__DEFAULT_EXPID_SETTING["SIMPLE"]])
res_cwk = [s['result']['value'] for s in res_cwk]
res_cwk = res_cwk[0]
try:
res = {}
for c i... | code_fim | medium | {
"lang": "python",
"repo": "X5GON/lamapi",
"path": "/services/ordonize/continuouswikification2order/reordonize/core.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> id_ = "foo"
message = job_pb2.Job(id=id_)
j = Job._from_proto(message)
job_state = job_pb2.Job.State(
stage=job_pb2.Job.Stage.FAILED,
error=job_pb2.Job.Error(code=errors_pb2.ERROR_UNKNOWN),
)
stub.return_value.WatchJob.return_value ... | code_fim | hard | {
"lang": "python",
"repo": "huesos85/descarteslabs-python",
"path": "/descarteslabs/workflows/models/tests/test_job.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def test_unmarshal_primitive(self, stub):
marshalled = (1, 2, True, None)
job = Job._from_proto(
job_pb2.Job(
id="foo",
state=job_pb2.Job.State(stage=job_pb2.Job.Stage.SUCCEEDED),
type=types_pb2.List,
)
)
... | code_fim | hard | {
"lang": "python",
"repo": "huesos85/descarteslabs-python",
"path": "/descarteslabs/workflows/models/tests/test_job.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: huesos85/descarteslabs-python path: /descarteslabs/workflows/models/tests/test_job.py
import json
import pytest
import mock
import pyarrow as pa
import responses
from descarteslabs.workflows.client import Client
from descarteslabs.common.proto.errors import errors_pb2
from descarteslabs.common... | code_fim | hard | {
"lang": "python",
"repo": "huesos85/descarteslabs-python",
"path": "/descarteslabs/workflows/models/tests/test_job.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: sureddy/scheduler-api path: /scheduler/__init__.py
from flask import Flask, jsonify
from .job import blueprint as job
from .resources.cwl import CWLLibrary
from logging import log_request, log_response_code
from errors import APIError
from models.driver import SQLAlchemyDriver
app = Flask(__name... | code_fim | medium | {
"lang": "python",
"repo": "sureddy/scheduler-api",
"path": "/scheduler/__init__.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>
@app.route('/')
def root():
return jsonify({'job endpoint': '/jobs'})
@app.errorhandler(APIError)
def user_error(e):
if hasattr(e, 'json') and e.json:
return jsonify(**e.json), e.code
else:
return jsonify(message=e.message), e.code<|fim_prefix|># repo: sureddy/scheduler-api ... | code_fim | medium | {
"lang": "python",
"repo": "sureddy/scheduler-api",
"path": "/scheduler/__init__.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|># Save raw data section inside the result file
save_raw_data='yes'
# Analyze all logs, another option for this parameter is: osp_logs_only
log_type='all_logs'
# Directories on Undercloud host that are going to be analyzed
undercloud_logs = ['/var/log','/home/stack','/usr/share/','/var/lib/']<|fim_prefi... | code_fim | hard | {
"lang": "python",
"repo": "zahlabut/LogTool",
"path": "/Plugin_For_Infrared_Python3/Params.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|># Path to OSP logs on Undercloud
undercloud_logs_dir = ['/var/log/containers','/home/stack']
# SSH credentials used for connection to Overcloud nodes
overcloud_ssh_user = 'heat-admin'
overcloud_ssh_key = '/home/stack/.ssh/id_rsa'
overcloud_home_dir = '/home/' + overcloud_ssh_user + '/'
# Path to source ... | code_fim | medium | {
"lang": "python",
"repo": "zahlabut/LogTool",
"path": "/Plugin_For_Infrared_Python3/Params.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: zahlabut/LogTool path: /Plugin_For_Infrared_Python3/Params.py
# Copyright 2018 Arkady Shtempler.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apac... | code_fim | hard | {
"lang": "python",
"repo": "zahlabut/LogTool",
"path": "/Plugin_For_Infrared_Python3/Params.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: freyes/hotsos path: /plugins/openstack/parts/agent_exceptions.py
#!/usr/bin/python3
import os
import re
from common import (
constants,
plugin_yaml,
)
from common.searchtools import (
FilterDef,
SearchDef,
FileSearcher,
)
from openstack_common import (
AgentChecksBase,
... | code_fim | hard | {
"lang": "python",
"repo": "freyes/hotsos",
"path": "/plugins/openstack/parts/agent_exceptions.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> @param include_time_in_key: (bool) whether to include time of exception
in output. Default is to only show date.
"""
agent_exceptions = {}
for result in results:
exc_tag = result.get(3)
if exc_tag not in agent_exce... | code_fim | hard | {
"lang": "python",
"repo": "freyes/hotsos",
"path": "/plugins/openstack/parts/agent_exceptions.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> self._exception_exprs[svc] = []
self._exception_exprs[svc] += svc_info["exceptions_base"]
self._exception_exprs[svc] += a_excs
# Add service dependecy/lib/client exceptions
if svc == "cinder" or svc == "barbican":
# This is a cli... | code_fim | hard | {
"lang": "python",
"repo": "freyes/hotsos",
"path": "/plugins/openstack/parts/agent_exceptions.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: peaceiris/emoji-ime-dictionary path: /main.py
import json
from janome.tokenizer import Tokenizer
from pykakasi import kakasi
import re
t = Tokenizer()
kakasi = kakasi()
kakasi.setMode("J","H")
conv_j2h = kakasi.getConverter()
kakasi.setMode("K","H")
conv_k2h = kakasi.getConverter()
<|fim_suff... | code_fim | hard | {
"lang": "python",
"repo": "peaceiris/emoji-ime-dictionary",
"path": "/main.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|>
if __name__ == "__main__":
EMOJI_JSON_PATH = '/root/emoji_ja.json'
EMOJI_DICT_PATH = 'tsv/emoji.tsv'
emoji_dict = EmojiDict(EMOJI_JSON_PATH, EMOJI_DICT_PATH)
emoji_dict.get_emoji_json()
emoji_dict.create_emoji_dict()
emoji_dict.save_emoji_dict()<|fim_prefix|># repo: peaceiris/emoj... | code_fim | hard | {
"lang": "python",
"repo": "peaceiris/emoji-ime-dictionary",
"path": "/main.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: automl/NASLib path: /tutorial/zc_intro.py
#####################################################
################# START NEW CELL ####################
from naslib.predictors import ZeroCost
from naslib.search_spaces import NasBench201SearchSpace
from naslib.utils import get_train_val_loaders, get... | code_fim | hard | {
"lang": "python",
"repo": "automl/NASLib",
"path": "/tutorial/zc_intro.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|>#####################################################
################# START NEW CELL ####################
from naslib.utils import get_zc_benchmark_api
zc_api = get_zc_benchmark_api('nasbench201', 'cifar10')
graph = models[0]
# Use the Zero Cost Benchmark to get the score for the model for a particul... | code_fim | hard | {
"lang": "python",
"repo": "automl/NASLib",
"path": "/tutorial/zc_intro.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> models.append(graph)
print('Querying validation performance for all models')
for graph in tqdm(models):
acc = graph.query(metric=Metric.VAL_ACCURACY, dataset='cifar10', dataset_api=api)
val_accs.append(acc)
zc_predictor = ZeroCost(method_type='jacov')
print('Scoring the models using Zero Co... | code_fim | hard | {
"lang": "python",
"repo": "automl/NASLib",
"path": "/tutorial/zc_intro.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> if data.data == 'open':
self.gripper.open()
elif data.data == 'close':
self.gripper.close()
elif data.data == 'softGrip':
self.gripper.set_soft_grip()
elif data.data == 'strongGrip':
self.gripper.set_strong_grip()
if __name_... | code_fim | hard | {
"lang": "python",
"repo": "kolaszko/ur_rg2_gripper",
"path": "/scripts/gripper_node.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: kolaszko/ur_rg2_gripper path: /scripts/gripper_node.py
#!/usr/bin/env python
import rospy
from gripper import Gripper
from std_msgs.msg import String
<|fim_suffix|> def callback(self, data):
if data.data == 'open':
self.gripper.open()
elif data.data == 'close':
... | code_fim | hard | {
"lang": "python",
"repo": "kolaszko/ur_rg2_gripper",
"path": "/scripts/gripper_node.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: python-monero/monero-python path: /monero/transaction.py
import re
import sys
import warnings
from decimal import Decimal
from .address import address
from .numbers import PaymentID, from_atomic
class Payment(object):
"""
A payment base class, representing payment not associated with any... | code_fim | hard | {
"lang": "python",
"repo": "python-monero/monero-python",
"path": "/monero/transaction.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> self.account_idx = account_idx
self.backend = backend
self.direction = direction
def __call__(self, **filterparams):
fetch = self.backend.transfers_in if self.direction == 'in' else self.backend.transfers_out
return fetch(self.account_idx, PaymentFilter(**filte... | code_fim | hard | {
"lang": "python",
"repo": "python-monero/monero-python",
"path": "/monero/transaction.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_suffix|> pass
def init_model(self, module_str):
model = resolve_model_dynamically(module_str)
assert model is not None
self.model = model<|fim_prefix|># repo: hacktoolkit/django-htk path: /services.py
# HTK Imports
from htk.utils import resolve_model_dynamically
<|fim_middl... | code_fim | medium | {
"lang": "python",
"repo": "hacktoolkit/django-htk",
"path": "/services.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> model = resolve_model_dynamically(module_str)
assert model is not None
self.model = model<|fim_prefix|># repo: hacktoolkit/django-htk path: /services.py
# HTK Imports
from htk.utils import resolve_model_dynamically
<|fim_middle|>class HtkBaseService(object):
def __init__(s... | code_fim | medium | {
"lang": "python",
"repo": "hacktoolkit/django-htk",
"path": "/services.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: hacktoolkit/django-htk path: /services.py
# HTK Imports
from htk.utils import resolve_model_dynamically
class HtkBaseService(object):
def __init__(self, *args, **kwargs):
<|fim_suffix|> assert model is not None
self.model = model<|fim_middle|> pass
def init_model... | code_fim | medium | {
"lang": "python",
"repo": "hacktoolkit/django-htk",
"path": "/services.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Continuous-Delivery-Machines/raqcrawl path: /src/main/python/sqs_queue_capsuling.py
"""Encapsulate SQS.Queue calls."""
import json
import boto3
def dict_for_message(message):
body_d = json.loads(message.body)
message.body_dict = body_d
message.body_raw = message.body
return me... | code_fim | hard | {
"lang": "python",
"repo": "Continuous-Delivery-Machines/raqcrawl",
"path": "/src/main/python/sqs_queue_capsuling.py",
"mode": "psm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> def write_message(self, message_dict: dict, message_attributes_dict: dict = {}):
"""Writes the provided dict JSON-encoded into the Msg Queue."""
msg_body = json.dumps(message_dict)
response = self._msq_queue.send_message(
MessageBody=msg_body,
DelaySecon... | code_fim | hard | {
"lang": "python",
"repo": "Continuous-Delivery-Machines/raqcrawl",
"path": "/src/main/python/sqs_queue_capsuling.py",
"mode": "spm",
"license": "Apache-2.0",
"source": "the-stack-v2"
} |
<|fim_suffix|> Parameters
----------
knowledge_length : int
the length of the background knowledge that we want to simulate. The length of the background knowledge
specifies the amount of knowledge that the adversary will use for her attack. For each individual all the
combinations of... | code_fim | hard | {
"lang": "python",
"repo": "scikit-mobility/scikit-mobility",
"path": "/skmob/privacy/attacks.py",
"mode": "spm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: scikit-mobility/scikit-mobility path: /skmob/privacy/attacks.py
or each individual all the
combinations of points of length k will be evaluated.
Attributes
----------
knowledge_length : int
the length of the background knowledge that we want to simulate.
Examples... | code_fim | hard | {
"lang": "python",
"repo": "scikit-mobility/scikit-mobility",
"path": "/skmob/privacy/attacks.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: scikit-mobility/scikit-mobility path: /skmob/privacy/attacks.py
st. Technol. 9, 3, Article 31 (December 2017), 27 pages. DOI: https://doi.org/10.1145/3106774
.. [MOB2018] Roberto Pellungrini, Luca Pappalardo, Francesca Pratesi, Anna Monreale: Analyzing Privacy Risk in Human Mobility Data. STA... | code_fim | hard | {
"lang": "python",
"repo": "scikit-mobility/scikit-mobility",
"path": "/skmob/privacy/attacks.py",
"mode": "psm",
"license": "BSD-3-Clause",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: cossio/ProteoPy path: /bin/uniprot.prot.py
#!/usr/bin/env python
import sys
import argparse
import ProteoPy
PARSER = argparse.ArgumentParser(description='Get basic information from Uniprot from a list of Uniprot IDs')
PARSER.add_argument('--prots', type=str, help='list of proteins')
PARSER.ad... | code_fim | hard | {
"lang": "python",
"repo": "cossio/ProteoPy",
"path": "/bin/uniprot.prot.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> for pid in names.split(';'):
pid = pid.rstrip()
if ARGS.mass or ARGS.length:
try:
mass, length = SERV.uniprot_data(pid)
except KeyboardInterrupt:
raise
except:
Proteo... | code_fim | medium | {
"lang": "python",
"repo": "cossio/ProteoPy",
"path": "/bin/uniprot.prot.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: Lvfuqing/EDSR-tensorflow-1 path: /data_prepare.py
import cv2
import os
import random
IMAGE_WIDTH = 320
IMAGE_HEIGHT = 480
CUT_IMAGE_NUM = 5
FACTOR = 1 / 2
class DataProcessor(object):
def cut_for_train(self, from_path, dest_path):
if not os.path.exists(from_path):
retur... | code_fim | hard | {
"lang": "python",
"repo": "Lvfuqing/EDSR-tensorflow-1",
"path": "/data_prepare.py",
"mode": "psm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> image = cv2.resize(
image,
(int(height * FACTOR), int(width * FACTOR)),
interpolation=cv2.INTER_CUBIC,
)
cv2.imwrite(os.path.join(dest_path, file), image)
if __name__ == "__main__":
data_processor = DataProcessor()
... | code_fim | hard | {
"lang": "python",
"repo": "Lvfuqing/EDSR-tensorflow-1",
"path": "/data_prepare.py",
"mode": "spm",
"license": "MIT",
"source": "the-stack-v2"
} |
<|fim_suffix|> populate_db(model.TableBase.metadata, model.session)
alembic_cfg = Config(alembic_ini_path)
command.stamp(alembic_cfg, 'head')
generate_ca(conf)
# XXX: This may be bad juju
transaction.commit()<|fim_prefix|># repo: setheus/floof path: /bin/setup-floof.py
"""Setup the floof applic... | code_fim | hard | {
"lang": "python",
"repo": "setheus/floof",
"path": "/bin/setup-floof.py",
"mode": "spm",
"license": "ISC",
"source": "the-stack-v2"
} |
<|fim_prefix|># repo: setheus/floof path: /bin/setup-floof.py
"""Setup the floof application"""
import logging
import os
import transaction
import sys
from alembic import command
from alembic.config import Config
from paste.deploy import appconfig
from sqlalchemy import engine_from_config
from zope.sqlalchemy import ... | code_fim | hard | {
"lang": "python",
"repo": "setheus/floof",
"path": "/bin/setup-floof.py",
"mode": "psm",
"license": "ISC",
"source": "the-stack-v2"
} |
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