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<|fim_prefix|># repo: teshomegit/botty-bot-bot-bot path: /utils/download-history.py #!/usr/bin/env python3 import json, os, sys, logging, time, re import urllib.request, shutil from slackclient import SlackClient if not 2 <= len(sys.argv) <= 3: print("Usage: {} SLACK_API_TOKEN [SAVE_FOLDER]".format(sys.argv[0])...
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{ "lang": "python", "repo": "teshomegit/botty-bot-bot-bot", "path": "/utils/download-history.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: chenmengchieh2012/ESPCentralController path: /controller/databaseAPI.py from flask import Flask, render_template, Blueprint, redirect, make_response, request, jsonify from model.sqlite import SQliteBridge, getDB from model.espData import * from util.ResponseData import ResponseData import json, a...
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{ "lang": "python", "repo": "chenmengchieh2012/ESPCentralController", "path": "/controller/databaseAPI.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> res.mimetype = 'application/json' return res @databaseAPI.route('/', methods=['DELETE'], strict_slashes=False) def deleteMeasurements(): data = request.args db = getDB() espName = data.get('espName') isDeleted = db.deletebyTableName('rssi_measurements', esp = espName) resData = ResponseData() if ...
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{ "lang": "python", "repo": "chenmengchieh2012/ESPCentralController", "path": "/controller/databaseAPI.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: JessicaHamilton/PHYS-3210 path: /Week 05/exercise08.py # -*- coding: utf-8 -*- """ Created on Mon Sep 16 10:07:36 2019 @author: hamil """ import numpy as np import matplotlib.pyplot as plt #Step one create two arrays for x values and the sin of those x values sinx_array = [] cosx_array = [] x...
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{ "lang": "python", "repo": "JessicaHamilton/PHYS-3210", "path": "/Week 05/exercise08.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>#Plot everything plt.plot(x_array, value7, color = "purple", label = "Python's Gradient Function") plt.plot(x_array, value5, color = 'blue', label = "Forward Difference") plt.plot(x_array, negsinx_array, color= 'green', label= "Python's Neg. Sin Function") plt.plot(x_array, cosx_array, linestyle = 'dashed...
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{ "lang": "python", "repo": "JessicaHamilton/PHYS-3210", "path": "/Week 05/exercise08.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>#Compare with the numpy function for the gradient plt.plot(x_array, value3, color = "purple", label = "Python's Gradient Function") plt.plot(x_array, value1, color = 'blue', label = "Forward Difference") plt.plot(x_array, sinx_array, linestyle= 'dashed', color= 'gray', label= "Sin Function") plt.plot(x_ar...
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{ "lang": "python", "repo": "JessicaHamilton/PHYS-3210", "path": "/Week 05/exercise08.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> def __init__(self): self.name = type(self.__class__).__name__ self.functions = {"run_command": self.run_command} self.workspace = GLOBAL_OBJECTS["WorkspaceManager"] super().__init__(self.name, self.functions) def run_command(self, query): command = query["...
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{ "lang": "python", "repo": "hvuhsg/MultiSC", "path": "/MultiSC/MultiServer/protocols/protocols_objects/admin_protocol.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: hvuhsg/MultiSC path: /MultiSC/MultiServer/protocols/protocols_objects/admin_protocol.py from __config__ import protocol_code_config as config from ...global_objects import GLOBAL_OBJECTS from ..protocol import Protocol class AdminProtocol(Protocol): <|fim_suffix|> command = query["comman...
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{ "lang": "python", "repo": "hvuhsg/MultiSC", "path": "/MultiSC/MultiServer/protocols/protocols_objects/admin_protocol.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> def run_command(self, query): command = query["command"] admin = query.state["user"] command_result, run_ok = self.workspace.run_command(command, admin["is_master"]) query.add_response( {"result": command_result, "have error": not run_ok, "code": config.ok} ...
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{ "lang": "python", "repo": "hvuhsg/MultiSC", "path": "/MultiSC/MultiServer/protocols/protocols_objects/admin_protocol.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: Oscar-CM/Password path: /tester.py import unittest from password import Password, User class Testing (unittest.TestCase): def setUp(self): self.new_person = Password("Oscar", "1234") self.new_user = User ("Cheru", "123") def test_init(self): ''' Testing b...
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{ "lang": "python", "repo": "Oscar-CM/Password", "path": "/tester.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> def test_saveUser(self): ''' Testing the User class ''' self.new_user.saveUser() self.assertEqual(len(User.user_list),1) if __name__ == '__main__': unittest.main()<|fim_prefix|># repo: Oscar-CM/Password path: /tester.py import unittest from password impor...
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{ "lang": "python", "repo": "Oscar-CM/Password", "path": "/tester.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: AMWA-TV/nmos-testing path: /nmostesting/mocks/Registry.py ils.downgrade_resource(resource_type, pre_resources[resource_id], api_version) if pos...
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{ "lang": "python", "repo": "AMWA-TV/nmos-testing", "path": "/nmostesting/mocks/Registry.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: AMWA-TV/nmos-testing path: /nmostesting/mocks/Registry.py against concurrent subscription creation self.subscription_lock.acquire() subscription_ids = [id for id, subscription in self.get_resources()['subscription'].items() if self._get_re...
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{ "lang": "python", "repo": "AMWA-TV/nmos-testing", "path": "/nmostesting/mocks/Registry.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> # Only if until is after the start of the resource list if len(sorted_list) > 0 and IS04Utils.compare_resource_version(until, sorted_list[0]['version']) > 0: since_index = 0 until_index = 0 # find since index for valu...
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{ "lang": "python", "repo": "AMWA-TV/nmos-testing", "path": "/nmostesting/mocks/Registry.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: fjiangAI/easykeras path: /easykeras/example/imdb_cnn.py __author__ = 'jf' from keras.layers import Dense, Dropout, Activation from keras.layers import Embedding from keras.layers import Conv1D, GlobalMaxPooling1D import keras from easykeras.example.imdb_util import get_train_test from easykeras.e...
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{ "lang": "python", "repo": "fjiangAI/easykeras", "path": "/easykeras/example/imdb_cnn.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|>if __name__ == "__main__": # 主程序 x_train, y_train, x_test, y_test = get_train_test() model_config = Config(get_config()) cnn_model = CnnModel(model_config) # 设定编译参数 loss = 'binary_crossentropy' optimizer = 'adam' metrics = ['accuracy'] cnn_model.compile(loss=loss, opti...
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{ "lang": "python", "repo": "fjiangAI/easykeras", "path": "/easykeras/example/imdb_cnn.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> def call(self, inputs): """ 构建模型过程,使用函数式模型 :return: """ embedding_output = self.embedding_layer(inputs) # (?,400,50) dropout_output = self.dropout_layer(embedding_output) con_output = self.con_layer(dropout_output) # (?,398,250) global_...
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{ "lang": "python", "repo": "fjiangAI/easykeras", "path": "/easykeras/example/imdb_cnn.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> def repo_default_config(): ret = configparser.ConfigParser() ret.add_section("core") ret.set("core", "repositoryformatversion", "0") ret.set("core", "filemode", "false") ret.set("core", "bare", "false") return ret<|fim_prefix|># repo: ShubhankarKG/VCS_learnings path: /vcs/utils...
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{ "lang": "python", "repo": "ShubhankarKG/VCS_learnings", "path": "/vcs/utils.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: ShubhankarKG/VCS_learnings path: /vcs/utils.py import os import configparser def repo_path(repo, *path): """Compute path under repo's vcsdir""" return os.path.join(repo.vcsdir, *path) def repo_file(repo, *path, mkdir=False): """Same as repo_path, but create dirname(*path) if absen...
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{ "lang": "python", "repo": "ShubhankarKG/VCS_learnings", "path": "/vcs/utils.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> ret.add_section("core") ret.set("core", "repositoryformatversion", "0") ret.set("core", "filemode", "false") ret.set("core", "bare", "false") return ret<|fim_prefix|># repo: ShubhankarKG/VCS_learnings path: /vcs/utils.py import os import configparser def repo_path(repo, *path): ...
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{ "lang": "python", "repo": "ShubhankarKG/VCS_learnings", "path": "/vcs/utils.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> return self._dateReader.ReadNextTimeStamp(), self._valueReader.ReadNextValue() def ReadAll(self): timearr = [] varr = [] while(self.HasMorePoints()): t,v = self.ReadNext() timearr.append(t) varr.append(v) return timearr, varr...
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{ "lang": "python", "repo": "kurakihx/py-tsz", "path": "/bin/utils/tsc/timeseriesreader.py", "mode": "spm", "license": "BSD-3-Clause", "source": "the-stack-v2" }
<|fim_prefix|># repo: kurakihx/py-tsz path: /bin/utils/tsc/timeseriesreader.py import sys, numpy as np sys.path.append('./') from bin.utils.tsc.bitbuffer import BitBuffer from bin.utils.tsc.timereader import TimeReader from bin.utils.tsc.valuereader import ValueReader class TimeSeriesReader(object): def __init__(s...
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{ "lang": "python", "repo": "kurakihx/py-tsz", "path": "/bin/utils/tsc/timeseriesreader.py", "mode": "psm", "license": "BSD-3-Clause", "source": "the-stack-v2" }
<|fim_prefix|># repo: recap-utr/arguebuf-python path: /arguebuf/model/typing.py from typing import TypeVar __all__ = ("TextType",) TextType = TypeVar("TextType") # AbstractNodeType = TypeVar("AbstractNodeType", bound=AbstractNode) # AnalystType<|fim_suffix|>ceType = TypeVar("ResourceType", bound=Resource) # SchemeNo...
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{ "lang": "python", "repo": "recap-utr/arguebuf-python", "path": "/arguebuf/model/typing.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>ceType = TypeVar("ResourceType", bound=Resource) # SchemeNodeType = TypeVar("SchemeNodeType", bound=SchemeNode) # UserdataType = TypeVar("UserdataType", bound=Mapping)<|fim_prefix|># repo: recap-utr/arguebuf-python path: /arguebuf/model/typing.py from typing import TypeVar __all__ = ("TextType",) TextT...
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{ "lang": "python", "repo": "recap-utr/arguebuf-python", "path": "/arguebuf/model/typing.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>("MetadataType", bound=Metadata) # ParticipantType = TypeVar("ParticipantType", bound=Participant) # ReferenceType = TypeVar("ReferenceType", bound=Reference) # ResourceType = TypeVar("ResourceType", bound=Resource) # SchemeNodeType = TypeVar("SchemeNodeType", bound=SchemeNode) # UserdataType = TypeVar("U...
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{ "lang": "python", "repo": "recap-utr/arguebuf-python", "path": "/arguebuf/model/typing.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> Sc.add( Sphere( material=blue_glass, center=vec3(370.5, 165 / 2, -65 - 185 / 2), radius=165 / 2, shadow=False, max_ray_depth=3, ), importance_sampled=True, ) # Render img = Sc.render(samples_per_pixel=100,...
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{ "lang": "python", "repo": "lmondada/Python-Raytracer", "path": "/example_cornellbox.py", "mode": "spm", "license": "BSD-3-Clause", "source": "the-stack-v2" }
<|fim_prefix|># repo: lmondada/Python-Raytracer path: /example_cornellbox.py from sightpy import * def main(): # Set Scene Sc = Scene(ambient_color=rgb(0.00, 0.00, 0.00)) angle = -0 Sc.add_Camera( screen_width=100, screen_height=100, look_from=vec3(278, 278, 800), ...
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{ "lang": "python", "repo": "lmondada/Python-Raytracer", "path": "/example_cornellbox.py", "mode": "psm", "license": "BSD-3-Clause", "source": "the-stack-v2" }
<|fim_suffix|> num_art = 10000 emb_dimensions = 100 window_size = 3 iterations = 300 print("===================== PRE-PROCESSING =======================") w2v = Word2VecTrainer(inFile="enwiki-latest-pages-articles.xml.bz2", outFile=("emb_art_" + str(num_a...
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{ "lang": "python", "repo": "shubhvachher/THU--ACM_2019-2021", "path": "/THU--NLP/ASSG1/train.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: shubhvachher/THU--ACM_2019-2021 path: /THU--NLP/ASSG1/train.py import torch import torch.optim as optim from torch.utils.data import DataLoader import numpy as np from tqdm import tqdm import pandas as pd from sklearn.metrics.pairwise import cosine_similarity from nltk.metrics.spearman import spe...
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{ "lang": "python", "repo": "shubhvachher/THU--ACM_2019-2021", "path": "/THU--NLP/ASSG1/train.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> loss.backward() optimizer.step() running_loss = running_loss * 0.9 + loss.item() * 0.1 print("Loss: " + str(running_loss)) loss_history.append(running_loss) new_spearman = self.test...
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{ "lang": "python", "repo": "shubhvachher/THU--ACM_2019-2021", "path": "/THU--NLP/ASSG1/train.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> entry.save() self.assertEqual(self.count_entries(self), 2) entry.save() self.assertEqual(self.count_entries(self), 2) entry.delete() self.assertEqual(self.count_entries(self), 0) entry2.save() self.assertEqual(self.count_entries(self), 0) ...
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{ "lang": "python", "repo": "uu-mofa/mofa", "path": "/src/assistants/tests/test_models.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: uu-mofa/mofa path: /src/assistants/tests/test_models.py # This program has been developed by students from the bachelor Computer Science at Utrecht University within the # Software and Game project course # ©Copyright Utrecht University Department of Information and Computing Sciences. import dat...
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{ "lang": "python", "repo": "uu-mofa/mofa", "path": "/src/assistants/tests/test_models.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> python_35_dir = self.option('python-35-dir') or 'D:\\Tools\\Python35' self.cmake_build('build', winbrew.cmake_args+( '-DLIBDIR={0}'.format(winbrew.config.lib_path), '-DPYTHON_INCLUDE_DIR={0}'.format(os.path.join(python_35_dir, 'include')), )) def test(s...
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{ "lang": "python", "repo": "mfichman/winbrew", "path": "/broken/blender.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> def install(self): python_35_dir = self.option('python-35-dir') or 'D:\\Tools\\Python35' self.cmake_build('build', winbrew.cmake_args+( '-DLIBDIR={0}'.format(winbrew.config.lib_path), '-DPYTHON_INCLUDE_DIR={0}'.format(os.path.join(python_35_dir, 'include')), ...
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{ "lang": "python", "repo": "mfichman/winbrew", "path": "/broken/blender.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: mfichman/winbrew path: /broken/blender.py import winbrew import sys import os class Blender(winbrew.Formula): url = 'http://download.blender.org/source/blender-2.77a.tar.gz' homepage = 'http://www.blender.org' sha1 = '935793b3e9fd4d02c71f275aac3aca27cd58bdfb' build_deps = () ...
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{ "lang": "python", "repo": "mfichman/winbrew", "path": "/broken/blender.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>@job_cli_group.command() @click.option( "--address", type=str, default=None, required=False, help=( "Address of the Ray cluster to connect to. Can also be specified " "using the `RAY_ADDRESS` environment variable." ), ) @click.argument("job-id", type=str) @add_commo...
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{ "lang": "python", "repo": "ray-project/ray", "path": "/dashboard/modules/job/cli.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> address: Optional[str], job_id: str, headers: Optional[str], verify: Union[bool, str], ): """Deletes a stopped job and its associated data from memory. Only supported for jobs that are already in a terminal state. Fails with exit code 1 if the job is not already stopped. D...
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{ "lang": "python", "repo": "ray-project/ray", "path": "/dashboard/modules/job/cli.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: ray-project/ray path: /dashboard/modules/job/cli.py import json import os import sys import pprint import time from subprocess import list2cmdline from typing import Optional, Tuple, Union, Dict, Any import click import ray._private.ray_constants as ray_constants from ray._private.storage impor...
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{ "lang": "python", "repo": "ray-project/ray", "path": "/dashboard/modules/job/cli.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> #Check if this is a form submission handle_miner_post(flask.request.form) #Get a list of currently configured miners miners = bitHopper.Configuration.Miners.get_miners() return flask.render_template('miner.html', miners=miners) def handle_miner_post(post): for item ...
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{ "lang": "python", "repo": "DavidVorick/bitHopper", "path": "/bitHopper/Website/Miner_Page.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: DavidVorick/bitHopper path: /bitHopper/Website/Miner_Page.py from bitHopper.Website import app, flask import btcnet_info import bitHopper.Configuration.Miners <|fim_suffix|> elif post['method'] == 'add': bitHopper.Configuration.Miners.add( post['username'], post['p...
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{ "lang": "python", "repo": "DavidVorick/bitHopper", "path": "/bitHopper/Website/Miner_Page.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>try: con.execute("insert into public_table(c1, c2) values (1, 2)") except sqlite3.DatabaseError, e: print "DML command =>", e.args[0] # access ... prohibited<|fim_prefix|># repo: ghaering/pysqlite path: /doc/includes/sqlite3/authorizer.py from pysqlite2 import dbapi2 as sqlite3 def authorize...
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{ "lang": "python", "repo": "ghaering/pysqlite", "path": "/doc/includes/sqlite3/authorizer.py", "mode": "spm", "license": "Zlib", "source": "the-stack-v2" }
<|fim_prefix|># repo: ghaering/pysqlite path: /doc/includes/sqlite3/authorizer.py from pysqlite2 import dbapi2 as sqlite3 def authorizer_callback(action, arg1, arg2, dbname, source): <|fim_suffix|>con = sqlite3.connect(":memory:") con.executescript(""" create table public_table(c1, c2); create table private_t...
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{ "lang": "python", "repo": "ghaering/pysqlite", "path": "/doc/includes/sqlite3/authorizer.py", "mode": "psm", "license": "Zlib", "source": "the-stack-v2" }
<|fim_suffix|>try: con.execute("select * from private_table") except sqlite3.DatabaseError, e: print "SELECT FROM private_table =>", e.args[0] # access ... prohibited try: con.execute("insert into public_table(c1, c2) values (1, 2)") except sqlite3.DatabaseError, e: print "DML command =>", e.args[0...
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{ "lang": "python", "repo": "ghaering/pysqlite", "path": "/doc/includes/sqlite3/authorizer.py", "mode": "spm", "license": "Zlib", "source": "the-stack-v2" }
<|fim_suffix|> if __name__ == "__main__": # Parse the arguments and start the process parser = argparse.ArgumentParser() parser.add_argument("--only_cct", help="optional argument for saving the fitness data.", action='store_true') parser.add_argument("--co...
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{ "lang": "python", "repo": "htaskiran/SPEA2-ICoptimizer", "path": "/spea2/__main__.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> if not os.path.isdir(CIRCUIT_PROPERTIES["path_to_output"]): raise SystemExit(f"There is no such direction " f"{CIRCUIT_PROPERTIES['path_to_output']}") # Create temp folder to perform simulations file_handler = FileHandler(CIRCUIT_PROPERTIES['path_to_circuit'])...
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{ "lang": "python", "repo": "htaskiran/SPEA2-ICoptimizer", "path": "/spea2/__main__.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: htaskiran/SPEA2-ICoptimizer path: /spea2/__main__.py import argparse import atexit import logging import time import yaml from .filehandler import FileHandler from .IC import * from .algorithm import EvolutionaryAlgorithm, Individual def get_logger(): # Set logger configurations. log_f...
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{ "lang": "python", "repo": "htaskiran/SPEA2-ICoptimizer", "path": "/spea2/__main__.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: calvin-j/prune-ami-lambda path: /prune_ami.py # Prune all AMIs older than X days that are not in use by a Launch Configuration provided a minimum of Y exists import boto3 import logging import os from botocore.exceptions import ClientError from datetime import datetime, timedelta from dateutil.p...
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{ "lang": "python", "repo": "calvin-j/prune-ami-lambda", "path": "/prune_ami.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> def remove_image(image): logger = logging.getLogger() # Set log level to INFO logger.setLevel(20) # Remove the image and snapshots snaps = [] for storage in image['BlockDeviceMappings']: snaps.append(storage['Ebs']['SnapshotId']) if dry_run == "false": logger....
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{ "lang": "python", "repo": "calvin-j/prune-ami-lambda", "path": "/prune_ami.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: ddervs/GreenGraph path: /greengraph/classes/Map.py import numpy as np import requests from StringIO import StringIO from matplotlib import image as img class Map(object): def __init__(self, latitude, longitude, satellite=True, zoom=10, size=(400, 400), sensor=False): ...
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{ "lang": "python", "repo": "ddervs/GreenGraph", "path": "/greengraph/classes/Map.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> green = self.green(threshold) out = green[:, :, np.newaxis] * np.array([0, 1, 0])[np.newaxis, np.newaxis, :] my_buffer = StringIO() img.imsave(my_buffer, out, format='png') return my_buffer.getvalue()<|fim_prefix|># repo: ddervs/GreenGraph path: /greengraph/classes...
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{ "lang": "python", "repo": "ddervs/GreenGraph", "path": "/greengraph/classes/Map.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>def simulation(mode, arrival, service, network, fogTimeLimit, fogTimeToCloudTIme, time_end): # [(arrival_time_at_fog, departure_time_from_system)] whole_record = [] # fog={arrival_time_at_fog:service_time_remaining_in_fog, service_time_in_cloud, network_latency} fog = {} cloud_arr...
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{ "lang": "python", "repo": "MW-ZHOU/COMP9334_19T1", "path": "/project/sim.py", "mode": "spm", "license": "Unlicense", "source": "the-stack-v2" }
<|fim_suffix|> # [(arrival_time_at_fog, departure_time_from_system)] whole_record = [] # fog={arrival_time_at_fog:service_time_remaining_in_fog, service_time_in_cloud, network_latency} fog = {} cloud_arrival = {} cloud = {} fog_depart = [] net_depart = [] cloud_depart = [] ...
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{ "lang": "python", "repo": "MW-ZHOU/COMP9334_19T1", "path": "/project/sim.py", "mode": "spm", "license": "Unlicense", "source": "the-stack-v2" }
<|fim_prefix|># repo: MW-ZHOU/COMP9334_19T1 path: /project/sim.py (1-beta)(t^(1-beta) - alpha_1^(1-beta)), use inverse transform method to generate random numbers # with specific probability distribution. _alpha_1 = service[0] _alpha_2 = service[1] _beta = service[2] b_1 = ...
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{ "lang": "python", "repo": "MW-ZHOU/COMP9334_19T1", "path": "/project/sim.py", "mode": "psm", "license": "Unlicense", "source": "the-stack-v2" }
<|fim_prefix|># repo: osbuild/osbuild path: /mounts/org.osbuild.xfs #!/usr/bin/python3 """ XFS mount service Mount a XFS filesystem at the given location. Host commands used: mount """ import sys from typing import Dict from osbuild import mounts <|fim_suffix|> def main(): service = XfsMount.from_args(sys.arg...
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{ "lang": "python", "repo": "osbuild/osbuild", "path": "/mounts/org.osbuild.xfs", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> def translate_options(self, options: Dict): return ["-t", "xfs"] + super().translate_options(options) def main(): service = XfsMount.from_args(sys.argv[1:]) service.main() if __name__ == '__main__': main()<|fim_prefix|># repo: osbuild/osbuild path: /mounts/org.osbuild.xfs #!/...
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{ "lang": "python", "repo": "osbuild/osbuild", "path": "/mounts/org.osbuild.xfs", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|>def main(): service = XfsMount.from_args(sys.argv[1:]) service.main() if __name__ == '__main__': main()<|fim_prefix|># repo: osbuild/osbuild path: /mounts/org.osbuild.xfs #!/usr/bin/python3 """ XFS mount service Mount a XFS filesystem at the given location. Host commands used: mount """ ...
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{ "lang": "python", "repo": "osbuild/osbuild", "path": "/mounts/org.osbuild.xfs", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> street = game_view.street() # These values don't vary by street, so we cache them if street in street_cache: player_states.append(street_cache[street]) continue if game_view.street() == Street.PREFLOP: player_state = PlayerState(is_curr...
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{ "lang": "python", "repo": "hobbit19/Pokermon", "path": "/pokermon/features/player_state.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> win_odds_vs_worse: Optional[float] = None tie_odds_vs_worse: Optional[float] = None lose_odds_vs_worse: Optional[float] = None def make_player_states( player_index: int, game: GameView, hole_cards: HoleCards, board: Board ) -> List[PlayerState]: player_states = [] street_cache: ...
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{ "lang": "python", "repo": "hobbit19/Pokermon", "path": "/pokermon/features/player_state.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: hobbit19/Pokermon path: /pokermon/features/player_state.py # Features that describe the status of a single player # Terminology: # player: The selected player # current_player: The player whose turn it is from dataclasses import dataclass from typing import Dict, List, Optional import pyholdthem...
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{ "lang": "python", "repo": "hobbit19/Pokermon", "path": "/pokermon/features/player_state.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: fseasy/snakai path: /snakai/strategy/qlearning/state_encoder/state_encoder.py # -*- coding: utf-8 -*- """state encoder from GameState to index """ import logging import itertools from snakai import snake_state_machine as ssm from snakai import snake_state_machine_util as ssm_util from . import ...
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{ "lang": "python", "repo": "fseasy/snakai", "path": "/snakai/strategy/qlearning/state_encoder/state_encoder.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> for e in self._encoders: e.clear() @property def ids(self): return self._state2id.values() @property def size(self): """get size """ return len(self._id2state)<|fim_prefix|># repo: fseasy/snakai path: /snakai/strategy/qlearning/state_e...
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{ "lang": "python", "repo": "fseasy/snakai", "path": "/snakai/strategy/qlearning/state_encoder/state_encoder.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> def clear(self): for e in self._encoders: e.clear() @property def ids(self): return self._state2id.values() @property def size(self): """get size """ return len(self._id2state)<|fim_prefix|># repo: fseasy/snakai path: /snakai/strat...
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{ "lang": "python", "repo": "fseasy/snakai", "path": "/snakai/strategy/qlearning/state_encoder/state_encoder.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> mock_validate.aasert_called_once_with(request) @mock.patch('openapi_core.shortcuts.RequestValidator.validate') def test_request_factory(self, mock_validate): spec = mock.sentinel.spec request = mock.sentinel.request body = mock.sentinel.body mock_validate.r...
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{ "lang": "python", "repo": "srgkm/openapi-core", "path": "/tests/unit/test_shortcuts.py", "mode": "spm", "license": "BSD-3-Clause", "source": "the-stack-v2" }
<|fim_prefix|># repo: srgkm/openapi-core path: /tests/unit/test_shortcuts.py import mock import pytest from openapi_core.shortcuts import ( validate_parameters, validate_body, validate_data, ) class ResultMock(object): def __init__( self, body=None, parameters=None, data=None, error_to_raise=N...
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{ "lang": "python", "repo": "srgkm/openapi-core", "path": "/tests/unit/test_shortcuts.py", "mode": "psm", "license": "BSD-3-Clause", "source": "the-stack-v2" }
<|fim_suffix|> if max_amount is not None and val > max_amount: raise Invalid('key: "{0}" contains invalid item "{1}": float is less then {2}'.format(key, val, max_amount)) return val def list_validation(val, key=None, min_amount=None, max_amount=None): if not isinstance(val, list): raise I...
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{ "lang": "python", "repo": "Attumm/Maat", "path": "/maat/maat.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: Attumm/Maat path: /maat/maat.py import re import sys import json import math from uuid import UUID from datetime import datetime config = { 'depth_limit': (sys.getrecursionlimit() - 50) } special_arguments = ['nested', 'list', 'aso_array', 'skip_failed', 'null_able', 'optional', 'defa...
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{ "lang": "python", "repo": "Attumm/Maat", "path": "/maat/maat.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: evilbluebeaver/erlport path: /examples/generator.py import time from erlport import Port, Protocol from erlport import Atom class EventGenerator(Protocol): <|fim_suffix|> if __name__ == "__main__": proto = EventGenerator() proto.run(Port(use_stdio=True))<|fim_middle|> def handle(se...
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{ "lang": "python", "repo": "evilbluebeaver/erlport", "path": "/examples/generator.py", "mode": "psm", "license": "BSD-3-Clause", "source": "the-stack-v2" }
<|fim_suffix|>if __name__ == "__main__": proto = EventGenerator() proto.run(Port(use_stdio=True))<|fim_prefix|># repo: evilbluebeaver/erlport path: /examples/generator.py import time from erlport import Port, Protocol from erlport import Atom <|fim_middle|> class EventGenerator(Protocol): def handle(sel...
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{ "lang": "python", "repo": "evilbluebeaver/erlport", "path": "/examples/generator.py", "mode": "spm", "license": "BSD-3-Clause", "source": "the-stack-v2" }
<|fim_suffix|> for i in mytimestr: mye.drawDigit(int(i)) # mye.drawnum(i) if __name__ == "__main__": turtle.setup(1200, 1000, 200, 200) turtle.penup() turtle.backward(300) turtle.pendown() mytime(1,9,9,4,0,9,2,7) turtle.pensize(6) turtle.speed(8) turtle.circle(-80,182) turtle.forward(100) turtle.left(30...
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{ "lang": "python", "repo": "python20180319howmework/homework", "path": "/lifei1/20180329/4.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: python20180319howmework/homework path: /lifei1/20180329/4.py import datetime import l4 as mye import turtle <|fim_suffix|> for i in mytimestr: mye.drawDigit(int(i)) # mye.drawnum(i) if __name__ == "__main__": turtle.setup(1200, 1000, 200, 200) turtle.penup() turtle.backward(300) turtl...
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{ "lang": "python", "repo": "python20180319howmework/homework", "path": "/lifei1/20180329/4.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: maksimt/rri_nmf path: /src/rri_nmf/__init__.py # from rri_nmf.nmf import * # now f() in nmf can be accessed by: <|fim_suffix|>tion', 'optimization', 'matrixops', 'sklearn_interface']<|fim_middle|># import rri_nmf # rri_nmf.f() import rri_nmf.nmf import rri_nmf.matrixops import rri_nmf...
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{ "lang": "python", "repo": "maksimt/rri_nmf", "path": "/src/rri_nmf/__init__.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>tion', 'optimization', 'matrixops', 'sklearn_interface']<|fim_prefix|># repo: maksimt/rri_nmf path: /src/rri_nmf/__init__.py # from rri_nmf.nmf import * # now f() in nmf can be accessed by: <|fim_middle|># import rri_nmf # rri_nmf.f() import rri_nmf.nmf import rri_nmf.matrixops import rri_nmf...
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{ "lang": "python", "repo": "maksimt/rri_nmf", "path": "/src/rri_nmf/__init__.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> def nameChanged(self): super().nameChanged() name = self.ui.leName.text() if self.validator["Name"] and len(name) != 2: self.ui.leName.setToolTip("Attributsnamen müssen aus exakt zwei Zeichen bestehen.") self.ui.leName.setStyleSheet("border: 1px solid re...
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{ "lang": "python", "repo": "Aeolitus/Sephrasto", "path": "/src/Sephrasto/DatenbankEditAttributWrapper.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: Aeolitus/Sephrasto path: /src/Sephrasto/DatenbankEditAttributWrapper.py # -*- coding: utf-8 -*- from Core.Attribut import AttributDefinition import UI.DatenbankEditAttribut from DatenbankElementEditorBase import DatenbankElementEditorBase, BeschreibungEditor from PySide6 import QtWidgets, QtCore ...
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{ "lang": "python", "repo": "Aeolitus/Sephrasto", "path": "/src/Sephrasto/DatenbankEditAttributWrapper.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: bernardkkt/loguiado path: /lib/sensor/timestamp.py import time from . import SensorBase from ..InterfaceResource import InterfaceResource, InterfaceSetting class Timestamp(SensorBase.SensorBase): """ This sensor module generates timestamps """ def __init__(self): name = ...
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{ "lang": "python", "repo": "bernardkkt/loguiado", "path": "/lib/sensor/timestamp.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> def read(self): val = self._get_time() # Get time if self.START_EPOCH is None: self.START_EPOCH = val # Set offset if self.parameters["type"] == "relative": # Return elapsed time since offset if self.parameters["unit"] == "sec": retur...
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{ "lang": "python", "repo": "bernardkkt/loguiado", "path": "/lib/sensor/timestamp.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> self.Message1_7 = Message(top) self.Message1_7.place(relx=0.069, rely=0.689, relheight=0.222 , relwidth=0.348) self.Message1_7.configure(background="#37474f") self.Message1_7.configure(font=font14) self.Message1_7.configure(foreground="#fff") ...
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{ "lang": "python", "repo": "priyamsahoo/Day-Zero-Diagnostics", "path": "/test/Gateway.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: priyamsahoo/Day-Zero-Diagnostics path: /test/Gateway.py import sys from PIL import ImageTk import PIL.Image import subprocess try: from Tkinter import * except ImportError: from tkinter import * try: import ttk py3 = False except ImportError: import tkinter.ttk as ttk ...
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{ "lang": "python", "repo": "priyamsahoo/Day-Zero-Diagnostics", "path": "/test/Gateway.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: andybalaam/pepper path: /old/pepper1/src/libpepper/builtins.py # Copyright (C) 2011-2012 Andy Balaam and The Pepper Developers # Released under the MIT License. See the file COPYING.txt for details. from libpepper.vals.all_values import * from libpepper.usererrorexception import PepUserErrorE...
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{ "lang": "python", "repo": "andybalaam/pepper", "path": "/old/pepper1/src/libpepper/builtins.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> class PepRuntimeLen( PepValue ): def __init__( self, args ): PepValue.__init__( self ) if( len( args ) != 1 ): raise UserErrorException( "There should only ever be one argument to len()" ) self.arg = args[0] def construction_args( self ): ...
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{ "lang": "python", "repo": "andybalaam/pepper", "path": "/old/pepper1/src/libpepper/builtins.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: SINTEF-Infosec/Incident-Information-Sharing-Tool path: /incidents/migrations/0008_notificationtype_subscriber.py # -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import models, migrations <|fim_suffix|> operations = [ migrations.AddField( mod...
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{ "lang": "python", "repo": "SINTEF-Infosec/Incident-Information-Sharing-Tool", "path": "/incidents/migrations/0008_notificationtype_subscriber.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> dependencies = [ ('incidents', '0007_auto_20150320_1244'), ] operations = [ migrations.AddField( model_name='notificationtype', name='subscriber', field=models.ForeignKey(to='incidents.Subscriber', default='7e9fc912-1624-4d91-a7d4-4b536a41d...
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{ "lang": "python", "repo": "SINTEF-Infosec/Incident-Information-Sharing-Tool", "path": "/incidents/migrations/0008_notificationtype_subscriber.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> operations = [ migrations.AddField( model_name='notificationtype', name='subscriber', field=models.ForeignKey(to='incidents.Subscriber', default='7e9fc912-1624-4d91-a7d4-4b536a41dbf1'), preserve_default=False, ), ]<|fim_prefix|># repo...
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{ "lang": "python", "repo": "SINTEF-Infosec/Incident-Information-Sharing-Tool", "path": "/incidents/migrations/0008_notificationtype_subscriber.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: robsonshockwave/mvc-academic-management-system-poo path: /grade.py import tkinter as tk from tkinter import ttk from tkinter import messagebox import pickle import os.path import disciplina as disc """----------------------------------------------------------""" # Possíveis erros que vão ser trat...
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{ "lang": "python", "repo": "robsonshockwave/mvc-academic-management-system-poo", "path": "/grade.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> # Método getter para pegar o objeto grade def getGradeObj(self, codigoGrade): # Declara um objeto vazio objGrade = None # Se o código da grade passado como parâmetro é igual então ele retorna o objeto grade inteiro for gra in self.gradesList: if codigoGr...
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{ "lang": "python", "repo": "robsonshockwave/mvc-academic-management-system-poo", "path": "/grade.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: SimonBoothroyd/bayesiantesting path: /studies/mbar/gaussian.py #!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Thu Oct 31 14:42:37 2019 @author: owenmadin """ import numpy from bayesiantesting.kernels.bayes import MBARIntegration from bayesiantesting.models.continuous import Cauc...
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{ "lang": "python", "repo": "SimonBoothroyd/bayesiantesting", "path": "/studies/mbar/gaussian.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> # Draw the initial parameter values from the model priors. initial_parameters = numpy.array([0.5]) # Set up log spaced lambda windows lambda_values = numpy.geomspace(1.0, 2.0, 20) - 1.0 # Run the simulation simulation = MBARIntegration( lambda_values=lambda_values, ...
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{ "lang": "python", "repo": "SimonBoothroyd/bayesiantesting", "path": "/studies/mbar/gaussian.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>1 <= s.length <= 5 * 10^5 s consists of 0's and 1's only. 1 <= k <= 20 """ class Solution: def hasAllCodes(self, s: str, k: int) -> bool: def generate(l, i): if i >= len(l): yield ''.join(l) else: yield from generate(l, i + 1) ...
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{ "lang": "python", "repo": "franklingu/leetcode-solutions", "path": "/questions/check-if-a-string-contains-all-binary-codes-of-size-k/Solution.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: franklingu/leetcode-solutions path: /questions/check-if-a-string-contains-all-binary-codes-of-size-k/Solution.py """ Given a binary string s and an integer k. Return True if every binary code of length k is a substring of s. Otherwise, return False.   Example 1: Input: s = "00110110", k = 2 Out...
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{ "lang": "python", "repo": "franklingu/leetcode-solutions", "path": "/questions/check-if-a-string-contains-all-binary-codes-of-size-k/Solution.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: Hyped-247/rp path: /RP/views.py from django.contrib.auth.models import User from django.shortcuts import redirect from django.views.generic import ListView from Apt.models import Apt from AptBuilding.models import AptBuilding from Owner.models import Owner from Renter.models import Renter clas...
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{ "lang": "python", "repo": "Hyped-247/rp", "path": "/RP/views.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> context = super(Home, self).get_context_data(**kwargs) context['Apt'] = Apt.objects.all() return context def get_queryset(self): return User.objects.all()<|fim_prefix|># repo: Hyped-247/rp path: /RP/views.py from django.contrib.auth.models import User from django.shor...
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{ "lang": "python", "repo": "Hyped-247/rp", "path": "/RP/views.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> def get_context_data(self, **kwargs): context = super(Home, self).get_context_data(**kwargs) context['Apt'] = Apt.objects.all() return context def get_queryset(self): return User.objects.all()<|fim_prefix|># repo: Hyped-247/rp path: /RP/views.py from django.contri...
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{ "lang": "python", "repo": "Hyped-247/rp", "path": "/RP/views.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: kotcmm/clipboard-data path: /binding.gyp { "targets": [{ "target_name": "ClipboardData", "dependencies" : [ "gyp/libpng.gyp:libpng" ], "include_dirs" : [ "src", "modules/clip", "modules/lpng", "modules/zlib", "src/configs" ], "sources"...
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{ "lang": "python", "repo": "kotcmm/clipboard-data", "path": "/binding.gyp", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> ["OS=='win'", { "sources": [ "modules/clip/clip_win.cpp"], 'msvs_disabled_warnings': [ 4244, # conversion from 'unsigned long' to 'uint8_t', possible loss of data ] }] ] }] }<|fim_prefix|># repo: kotcmm/clipboard-data path: /binding...
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{ "lang": "python", "repo": "kotcmm/clipboard-data", "path": "/binding.gyp", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: dagster-io/dagster path: /python_modules/dagster/dagster_tests/execution_tests/test_input_values_from_intermediates.py from dagster import In, List, Optional, job, op def test_from_intermediates_from_multiple_outputs(): @op def x(): return "x" @op def y(): retur...
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{ "lang": "python", "repo": "dagster-io/dagster", "path": "/python_modules/dagster/dagster_tests/execution_tests/test_input_values_from_intermediates.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> @job def pipe(): x() result = pipe.execute_in_process(run_config=run_config) assert result assert result.success step_input_event = next( ( evt for evt in result.events_for_node("x") if evt.event_type_value == "STEP_INPUT" ...
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hard
{ "lang": "python", "repo": "dagster-io/dagster", "path": "/python_modules/dagster/dagster_tests/execution_tests/test_input_values_from_intermediates.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: Hagryph/Auto-Matchmaking path: /AutoMM.pyw ona": "89", "Malzahar": "90", "Talon": "91", "Riven": "92", "KogMaw": "96", "Shen": "98", "Lux": "99", "Xerath": "101", "Shyvana": "102", "Ahri": "103", "Graves": "104", "Fizz": "105", "Volibear": "106", "Rengar": "107", ...
code_fim
hard
{ "lang": "python", "repo": "Hagryph/Auto-Matchmaking", "path": "/AutoMM.pyw", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> layout = [[sg.Text('League Path'), sg.Input(default_text=config["dir"], key='_INPUT_', justification="left")], [sg.Text('Roles'), sg.Drop(values=list(roleName.values()), default_value=roleName[rolePriority[0].lower()], size=(10, 1)...
code_fim
hard
{ "lang": "python", "repo": "Hagryph/Auto-Matchmaking", "path": "/AutoMM.pyw", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> index_list = [] for champion in config['banPrio']['mid']: index_list.append(championNames.index(champion)) window['_BANS_MIDLANE_'].Update(set_to_index=index_list) index_list = [] for champion in con...
code_fim
hard
{ "lang": "python", "repo": "Hagryph/Auto-Matchmaking", "path": "/AutoMM.pyw", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: piccolo-orm/piccolo path: /tests/utils/test_encoding.py from unittest import TestCase from piccolo.utils.encoding import dump_json, load_json <|fim_suffix|> """ Test dumping then loading an object. """ payload = {"a": [1, 2, 3]} self.assertEqual(load_json(...
code_fim
medium
{ "lang": "python", "repo": "piccolo-orm/piccolo", "path": "/tests/utils/test_encoding.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }