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<|fim_suffix|>def test_epoch_output_buffer(epoch_output, tb1, tb2): full_waveform1 = tb1.get_samples_remaining() tb1.reset() full_waveform2 = tb2.get_samples_remaining() tb2.reset() epoch_output.source = tb1 epoch_output.activate(0) segments = [ (0, 1000), (1000, 1000), ...
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{ "lang": "python", "repo": "psiexperiment/psiexperiment", "path": "/tests/test_output.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> segments = [ (0, 1000), (1000, 1000), (0, 1000), (500, 1000), (1500, 1000), (2500, 13), (2513, 13) ] out = np.empty(1000, dtype=np.double) for o, s in segments: epoch_output.get_samples(o, s, out) np.testing.assert_arr...
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{ "lang": "python", "repo": "psiexperiment/psiexperiment", "path": "/tests/test_output.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: psiexperiment/psiexperiment path: /tests/test_output.py import pytest import numpy as np from psiaudio.stim import Cos2EnvelopeFactory, ToneFactory @pytest.fixture() def tb1(epoch_output): tone = ToneFactory(fs=epoch_output.fs, level=0, frequency=100, calibration=ep...
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{ "lang": "python", "repo": "psiexperiment/psiexperiment", "path": "/tests/test_output.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: MehnoushFaghani/Ripples--PCP path: /Connect-four/test/test_minimax.py from typing import List import numpy as np import math from agents.agent_minimax.minimax import ( minimax, heuristic, Score_func, generate_move_minimax ) from agents.common import BoardPiece, PLAYER2, PLAYER1, N...
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{ "lang": "python", "repo": "MehnoushFaghani/Ripples--PCP", "path": "/Connect-four/test/test_minimax.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> assert ret == 5 # diagonal board[0, 6] = PLAYER1 board[1, 5] = PLAYER1 pos_list = (board[0, 6], board[1, 5], board[2, 4], board[3, 3]) ret = Score_func(pos_list, PLAYER1) assert ret == 2 # block the opponent board[2, 4] = PLAYER1 pos_list = (board[0, 6], board[1,...
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{ "lang": "python", "repo": "MehnoushFaghani/Ripples--PCP", "path": "/Connect-four/test/test_minimax.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: sunshuai95/Solar_mark_rcnn path: /index.py import cv2 import json import os import numpy as np from PIL import Image #Tham so cho ham HoughLinesP RHO = 10 #The resolution of the parameter r in pixels. THRESHOLD = 5 #The minimum number of intersections to “detect” a line MINLINLENGTH = 450 #The ...
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{ "lang": "python", "repo": "sunshuai95/Solar_mark_rcnn", "path": "/index.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>def index(img, bounding_boxs, rect): #Create mask: w, h = img.shape[0:2] mask = np.zeros((w, h)) bounding_boxs_center = [] for bb in bounding_boxs: #Center_point center_point = (int((bb[0] + bb[2])/2), int((bb[1] + bb[3])/2)) bounding_boxs_center.append(list(rev...
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{ "lang": "python", "repo": "sunshuai95/Solar_mark_rcnn", "path": "/index.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> #Sắp xếp line theo giá trị y của điểm đầu line_array = sorted(line_array, key=lambda x: x.points[1]) #Hiển thị lên ảnh i = 0 for line_object in line_array: x1, y1 = line_object.start x2, y2 = line_object.end cv2.putText(img, str(i), (x1, y1), cv2.FONT_HERSHE...
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{ "lang": "python", "repo": "sunshuai95/Solar_mark_rcnn", "path": "/index.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>try: while True: input() lapTime = round(time.time() - lastTime, 2) totalTime = round(time.time() - startTime, 2) print('Lap #%s:')<|fim_prefix|># repo: Amelen0/Python-Projects path: /stopwatch.py #! usr/bin/ env Python3 # stopwatch.py <|fim_middle|>import time
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{ "lang": "python", "repo": "Amelen0/Python-Projects", "path": "/stopwatch.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: Amelen0/Python-Projects path: /stopwatch.py #! usr/bin/ env Python3 # stopwatch.py <|fim_suffix|>try: while True: input() lapTime = round(time.time() - lastTime, 2) totalTime = round(time.time() - startTime, 2) print('Lap #%s:')<|fim_middle|>import time
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{ "lang": "python", "repo": "Amelen0/Python-Projects", "path": "/stopwatch.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> .old import QuartInterface as quart_api_doc from .old import SanicInterface as sanic_api_doc from .old import TornadoInterface as tornado_api_doc from .old import BottleInterface as bottle_api_doc<|fim_prefix|># repo: pavel-vorobyev/swagger-ui-pyramid path: /swagger_ui/__init__.py from .core import Inte...
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{ "lang": "python", "repo": "pavel-vorobyev/swagger-ui-pyramid", "path": "/swagger_ui/__init__.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: pavel-vorobyev/swagger-ui-pyramid path: /swagger_ui/__init__.py from .core import Interface as api_doc from .old import AiohttpInterface as aiohttp_api_doc from .<|fim_suffix|> .old import QuartInterface as quart_api_doc from .old import SanicInterface as sanic_api_doc from .old import TornadoInt...
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{ "lang": "python", "repo": "pavel-vorobyev/swagger-ui-pyramid", "path": "/swagger_ui/__init__.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> .old import TornadoInterface as tornado_api_doc from .old import BottleInterface as bottle_api_doc<|fim_prefix|># repo: pavel-vorobyev/swagger-ui-pyramid path: /swagger_ui/__init__.py from .core import Interface as api_doc from .old import AiohttpInterface as aiohttp_api_doc from .<|fim_middle|>old impo...
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{ "lang": "python", "repo": "pavel-vorobyev/swagger-ui-pyramid", "path": "/swagger_ui/__init__.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> def color_group(_): nonlocal group_counter, extractor group_counter += 1 label_ix = extractor["groupLabel"].get(group_counter) if label_ix is not None: color = colors[label_ix % len(colors)] return f"<font color='#{col...
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{ "lang": "python", "repo": "cognitedata/cognite-sdk-python-experimental", "path": "/cognite/experimental/data_classes/utils/rules_output.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: cognitedata/cognite-sdk-python-experimental path: /cognite/experimental/data_classes/utils/rules_output.py import copy from typing import Dict, List import regex def _label_groups(extractors: List[Dict], conditions: List[Dict]): colors = [ "".join(f"{int(round(rgb*255)):02x}" for r...
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{ "lang": "python", "repo": "cognitedata/cognite-sdk-python-experimental", "path": "/cognite/experimental/data_classes/utils/rules_output.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> for match in matches: formatted = { "source": copy.copy(match.get("source")), "target": copy.copy(match.get("target")), } for extractor in extractors: if extractor["extractorType"] != "regex": continue source_targ...
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{ "lang": "python", "repo": "cognitedata/cognite-sdk-python-experimental", "path": "/cognite/experimental/data_classes/utils/rules_output.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> property = Regex(name='name', value='value') self.assertIsNotNone(property) self.assertIsNone(property.id) self.assertEqual('name', property.name) self.assertEqual('value', property.value) self.assertEqual({'value': 'value', 'name': 'name'}, property.to_doc...
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{ "lang": "python", "repo": "keiffster/program-y", "path": "/test/programytest/storage/stores/nosql/mongo/dao/test_property.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: keiffster/program-y path: /test/programytest/storage/stores/nosql/mongo/dao/test_property.py import unittest from programy.storage.stores.nosql.mongo.dao.property import DefaultVariable from programy.storage.stores.nosql.mongo.dao.property import Property from programy.storage.stores.nosql.mongo...
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{ "lang": "python", "repo": "keiffster/program-y", "path": "/test/programytest/storage/stores/nosql/mongo/dao/test_property.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> property = DefaultVariable(name='name', value='value') property.id = '666' self.assertIsNotNone(property) self.assertIsNotNone(property.id) self.assertEqual('666', property.id) self.assertEqual('name', property.name) self.assertEqual('value', proper...
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{ "lang": "python", "repo": "keiffster/program-y", "path": "/test/programytest/storage/stores/nosql/mongo/dao/test_property.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: takedarts/hungry-geese path: /src/submission.py import base64 import io import itertools import logging import time from typing import Callable, Dict, Optional, Tuple import numpy as np import torch.jit import torch.nn as nn from kaggle_environments.envs.hungry_geese.hungry_geese \ import Ac...
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{ "lang": "python", "repo": "takedarts/hungry-geese", "path": "/src/submission.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> print('visit: {}, thread={}, remain={:.2f}'.format( agent.visit, torch.get_num_threads(), float(obs.remaining_overage_time))) print('actions:') for didx, direction in enumerate(['NORTH', 'EAST', 'SOUTH', 'WEST']): moves = agent.worlds[0].moves[obs.index, didx] print(' {...
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{ "lang": "python", "repo": "takedarts/hungry-geese", "path": "/src/submission.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> def postprocess(agent: Agent, obs: Observation, action: Action): global MODEL print('visit: {}, thread={}, remain={:.2f}'.format( agent.visit, torch.get_num_threads(), float(obs.remaining_overage_time))) print('actions:') for didx, direction in enumerate(['NORTH', 'EAST', 'SOUTH'...
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{ "lang": "python", "repo": "takedarts/hungry-geese", "path": "/src/submission.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> @property def __private_decorated_property(self): return 'private decorated property' def __private_instance_method(self): return 'private instance method' def _private_instance_method(self): return 'private instance method' @classmethod def class_method(...
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{ "lang": "python", "repo": "infosmith/helpers", "path": "/tests/fixtures/oop/reflection.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> def __init__(self, parent_instance_property='parent instance property value'): super().__init__() self.parent_instance_property = parent_instance_property @property def __parent_private_decorated_property(self): return 'parent private decorated property' def __par...
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{ "lang": "python", "repo": "infosmith/helpers", "path": "/tests/fixtures/oop/reflection.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: infosmith/helpers path: /tests/fixtures/oop/reflection.py import abc class AbstractTestCase(abc.ABC): """Third element of Method Resolution Order.""" abstract_class_property = 'abstract class property' def __init__(self, abstract_instance_property='abstract instance property value'...
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{ "lang": "python", "repo": "infosmith/helpers", "path": "/tests/fixtures/oop/reflection.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: Jhsmit/PyHDX path: /templates/archive/plot_output.py """ Automagically plot all available figures from a fit result """ from pyhdx.fileIO import load_fitresult from pyhdx.plot import FitResultPlot from pathlib import Path # %% # __file__ = Path().cwd() / 'templates'/ 'script.py' # Uncomment f...
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{ "lang": "python", "repo": "Jhsmit/PyHDX", "path": "/templates/archive/plot_output.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> cwd = Path(__file__).parent output_dir = cwd / "output" / "figures" output_dir.mkdir(exist_ok=True) fit_result = load_fitresult(cwd / "output" / "SecB_tetramer_dimer_batch") fr_plot = FitResultPlot(fit_result, output_path=output_dir) kwargs = { "residue_scatter": {"cmap": "BuGn"}, # change default...
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{ "lang": "python", "repo": "Jhsmit/PyHDX", "path": "/templates/archive/plot_output.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: JohnKarima/hood path: /hoodapp/views.py from django.shortcuts import render, redirect from django.contrib import messages from django.http import HttpResponse from .models import Profile, User, Post, Neighbourhood, Business, Services from .forms import UserRegisterForm, UserUpdateForm, ProfileUp...
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{ "lang": "python", "repo": "JohnKarima/hood", "path": "/hoodapp/views.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>def register(request): if request.method == 'POST': form = UserRegisterForm(request.POST) if form.is_valid(): form.save() username = form.cleaned_data.get('username') messages.success(request, f'Successfully created account created for {username}! Pl...
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{ "lang": "python", "repo": "JohnKarima/hood", "path": "/hoodapp/views.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> if 'business' in request.GET and request.GET["business"]: search_term = request.GET.get("business") searched_businesses = Business.search_business(search_term) message = f"{search_term}" return render(request, 'search.html', {"message":message,"businesses": searched_bus...
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{ "lang": "python", "repo": "JohnKarima/hood", "path": "/hoodapp/views.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> #Get physical stats Height = Strength + d6() if Height <= 8: Height = "Very Short" elif Height <= 10: Height = "Short" elif Height <= 13: Height = "Average" elif Height <= 15: Height = "Tall" elif Height <= 17: Height = "Very T...
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{ "lang": "python", "repo": "TheHalfling/LegendaryLivesCharacterGenerator", "path": "/ElfStats.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> #get family background Background = Fate + d6() if Background == 12: Background = "Gatherer" Bronze = 10 Free = 8 new_specs = ["Forage", "Search"] for ea in new_specs: if ea not in Specialties: Specialties.append(ea) ...
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{ "lang": "python", "repo": "TheHalfling/LegendaryLivesCharacterGenerator", "path": "/ElfStats.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: TheHalfling/LegendaryLivesCharacterGenerator path: /ElfStats.py # -*- coding: utf-8 -*- """ Created on Sun Jan 21 16:19:46 2018 @author: Sherry Done """ def CorsairStats(): #Get base stats Agility = 9 + d6() Alertness =67 + d6() Charm = 13 + d6() Cunning = 3 +...
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{ "lang": "python", "repo": "TheHalfling/LegendaryLivesCharacterGenerator", "path": "/ElfStats.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: avidclam/amshared path: /tests/test_stage_metadata.py from amshared.stage.metadata import MetaData from amshared.stage.constants import ( STAGE_HEAP, STAGE_WILD, STAGE_RUBRIC_EMPTY, MK_PAYLOAD, MK_RUBRIC, MK_NAME, MK_PART, MK_FORMAT ) def test_stage_metadata_defaults(): meta = MetaD...
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{ "lang": "python", "repo": "avidclam/amshared", "path": "/tests/test_stage_metadata.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> def test_stage_metadata_part(): meta = MetaData({MK_PART: ''}) assert MK_PART not in meta assert meta.is_atomic is False meta = MetaData({MK_NAME: 0, MK_PART: ''}) assert MK_PART not in meta assert meta.is_atomic is True meta = MetaData({MK_NAME: 0, MK_PART: 0}) assert met...
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{ "lang": "python", "repo": "avidclam/amshared", "path": "/tests/test_stage_metadata.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> # pa - position of a-th card target_list = [] count=int(msg[:8], base=16) msg = msg[8:] while len(msg) > 0: set=int(msg[:8], base=16) pos=int(msg[8:16], base=16) target_list.append((set, pos)) ...
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{ "lang": "python", "repo": "bzbikowski/DuelMasters-game", "path": "/src/controller.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>bfield.set_untapped(c_pos) self.master.add_log(f"Opponent creature at pos {c_pos} is now untapped.") self.master.refresh_screen() elif command == 17: # 17,c,s1,p1,s2,p2... - opponent chooses which cards to destroy from the list # c - how many...
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{ "lang": "python", "repo": "bzbikowski/DuelMasters-game", "path": "/src/controller.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: bzbikowski/DuelMasters-game path: /src/controller.py pot on gameboard c_id = int(msg[:8], base=16) c_pos = int(msg[8:16], base=16) card = self.master.database.get_card(c_id) if card.card_type == "Spell": self.master.opp_sfield.set_ca...
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{ "lang": "python", "repo": "bzbikowski/DuelMasters-game", "path": "/src/controller.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> @app.after_request def after_request(response): response.headers.add('Access-Control-Allow-Origin', '*') response.headers.add('Access-Control-Allow-Headers', 'Content-Type,Authorization') response.headers.add('Access-Control-Allow-Methods', 'GET,PUT,POST,DELETE,OPTIONS') ...
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{ "lang": "python", "repo": "syedwaseemjan/RiskManager", "path": "/app/factory.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> register_blueprints(app, package_name, package_path) @app.after_request def after_request(response): response.headers.add('Access-Control-Allow-Origin', '*') response.headers.add('Access-Control-Allow-Headers', 'Content-Type,Authorization') response.headers.add('Access...
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{ "lang": "python", "repo": "syedwaseemjan/RiskManager", "path": "/app/factory.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: syedwaseemjan/RiskManager path: /app/factory.py import os from flask import Flask from app.extensions import db from app.utils import register_blueprints from settings import PROJECT_ROOT def create_app(package_name, package_path, settings_override=None, <|fim_suffix|> register_blueprints(...
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{ "lang": "python", "repo": "syedwaseemjan/RiskManager", "path": "/app/factory.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: phiysng/leetcode path: /leetcode/python/util.py # -*- coding=utf-8 -*- from typing import Optional <|fim_suffix|> self.val = x self.left: Optional[TreeNode] = None self.right: Optional[TreeNode] = None<|fim_middle|>class TreeNode: def __init__(self, x):
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{ "lang": "python", "repo": "phiysng/leetcode", "path": "/leetcode/python/util.py", "mode": "psm", "license": "BSD-3-Clause", "source": "the-stack-v2" }
<|fim_suffix|> self.val = x self.left: Optional[TreeNode] = None self.right: Optional[TreeNode] = None<|fim_prefix|># repo: phiysng/leetcode path: /leetcode/python/util.py # -*- coding=utf-8 -*- from typing import Optional class TreeNode: <|fim_middle|> def __init__(self, x):
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{ "lang": "python", "repo": "phiysng/leetcode", "path": "/leetcode/python/util.py", "mode": "spm", "license": "BSD-3-Clause", "source": "the-stack-v2" }
<|fim_suffix|> return self._hasnext def compareStr(s, t): # compare each character until there's a difference!!! this = sum([ord(x) for x in s]) that = sum([ord(x) for x in t]) result = this - that return result def xlogx(x): if x <= 0: result = 0 else: ...
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{ "lang": "python", "repo": "eric-erki/multivac", "path": "/pymln/utils/Utils.py", "mode": "spm", "license": "BSD-2-Clause", "source": "the-stack-v2" }
<|fim_suffix|>class java_iter(object): def __init__(self, it): self.it = iter(it) self._hasnext = None def __iter__(self): return self def next(self): if self._hasnext: result = self._thenext else: result = next(self.it) self._hasnext = N...
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{ "lang": "python", "repo": "eric-erki/multivac", "path": "/pymln/utils/Utils.py", "mode": "spm", "license": "BSD-2-Clause", "source": "the-stack-v2" }
<|fim_prefix|># repo: eric-erki/multivac path: /pymln/utils/Utils.py # # Utility functions for pymln parsing # import math def inc_key(d, key, inc=1): if key not in d: d[key] = inc else: d[key] += inc return d def dec_key(d, key, base=None, dec=1, remove=False): if key not in d: ...
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{ "lang": "python", "repo": "eric-erki/multivac", "path": "/pymln/utils/Utils.py", "mode": "psm", "license": "BSD-2-Clause", "source": "the-stack-v2" }
<|fim_prefix|># repo: xiaoxiae/Robotics-Simplified-Website path: /_includes/code/algorithms/motor-controllers/polynomial-function/example.py # initialize objects that control robot components left_motor = Motor(1) right_motor = Motor(2) encoder = Encoder() <|fim_suffix|>while True: # get the controller valu...
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{ "lang": "python", "repo": "xiaoxiae/Robotics-Simplified-Website", "path": "/_includes/code/algorithms/motor-controllers/polynomial-function/example.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> # drive the robot using tank drive controlled by the controller value tank_drive(controller_value, controller_value, left_motor, right_motor)<|fim_prefix|># repo: xiaoxiae/Robotics-Simplified-Website path: /_includes/code/algorithms/motor-controllers/polynomial-function/example.py # initialize o...
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{ "lang": "python", "repo": "xiaoxiae/Robotics-Simplified-Website", "path": "/_includes/code/algorithms/motor-controllers/polynomial-function/example.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: chenbjin/models path: /legacy/sequence_tagging_for_ner/network_conf.py import math import paddle.v2 as paddle import paddle.v2.evaluator as evaluator def ner_net(word_dict_len, label_dict_len, stack_num=2, is_train=True): mark_dict_len = 2 word_dim = 50 mark_dim = 5 hidden_dim ...
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{ "lang": "python", "repo": "chenbjin/models", "path": "/legacy/sequence_tagging_for_ner/network_conf.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> crf = paddle.layer.crf(size=label_dict_len, input=emission, label=target, param_attr=paddle.attr.Param( name="crfw", initial_std=1. / m...
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{ "lang": "python", "repo": "chenbjin/models", "path": "/legacy/sequence_tagging_for_ner/network_conf.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> @pytest.mark.parametrize('metrics', itertools.combinations(['adjusted_rand', 'adjusted_mutual_info', 'v_measure'], 2)) def test_clustering_metrics(app, metrics): metrics = list(metrics) url = V01 + '/metrics/clustering' labels_true = [0, 0, 1, 2] labels_pred = [0,...
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{ "lang": "python", "repo": "FreeDiscovery/FreeDiscovery", "path": "/freediscovery/server/tests/test_metrics.py", "mode": "spm", "license": "BSD-3-Clause", "source": "the-stack-v2" }
<|fim_suffix|> @pytest.mark.parametrize('metrics', itertools.combinations(['ratio_duplicates', 'f1_same_duplicates', 'mean_duplicates_count'], 2)) def test_dupdetection_metrics(app, metrics): metrics = list(metrics) url = V01 + '/metrics/duplicate-detection' labels_true = [0, 1, 1, ...
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{ "lang": "python", "repo": "FreeDiscovery/FreeDiscovery", "path": "/freediscovery/server/tests/test_metrics.py", "mode": "spm", "license": "BSD-3-Clause", "source": "the-stack-v2" }
<|fim_prefix|># repo: FreeDiscovery/FreeDiscovery path: /freediscovery/server/tests/test_metrics.py # -*- coding: utf-8 -*- import pytest import itertools from numpy.testing import assert_almost_equal from .. import fd_app from .base import parse_res, V01, app, app_notest @pytest.mark.parametrize('metrics', ...
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{ "lang": "python", "repo": "FreeDiscovery/FreeDiscovery", "path": "/freediscovery/server/tests/test_metrics.py", "mode": "psm", "license": "BSD-3-Clause", "source": "the-stack-v2" }
<|fim_suffix|>def lorentz_factor( x, bh_mass, bh_dimless_spin, dimless_r_in, dimless_r_max, polytropic_constant, polytropic_exponent, threshold_density, plasma_beta, ): dummy_time = 0.0 return fm_disk.lorentz_factor( x, dummy_time, bh_mass, bh_...
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{ "lang": "python", "repo": "sxs-collaboration/spectre", "path": "/tests/Unit/PointwiseFunctions/AnalyticData/GrMhd/MagnetizedFmDisk.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>def pressure( x, bh_mass, bh_dimless_spin, dimless_r_in, dimless_r_max, polytropic_constant, polytropic_exponent, threshold_density, plasma_beta, ): dummy_time = 0.0 return fm_disk.pressure( x, dummy_time, bh_mass, bh_dimless_spin...
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{ "lang": "python", "repo": "sxs-collaboration/spectre", "path": "/tests/Unit/PointwiseFunctions/AnalyticData/GrMhd/MagnetizedFmDisk.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: sxs-collaboration/spectre path: /tests/Unit/PointwiseFunctions/AnalyticData/GrMhd/MagnetizedFmDisk.py # Distributed under the MIT License. # See LICENSE.txt for details. import numpy as np import PointwiseFunctions.AnalyticSolutions.RelativisticEuler.FishboneMoncriefDisk as fm_disk import Pointw...
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{ "lang": "python", "repo": "sxs-collaboration/spectre", "path": "/tests/Unit/PointwiseFunctions/AnalyticData/GrMhd/MagnetizedFmDisk.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: starlingx/nfv path: /nfv/nfv-vim/nfv_vim/api/controllers/v1/openstack/_heat_api.py # # Copyright (c) 2015-2018 Wind River Systems, Inc. # # SPDX-License-Identifier: Apache-2.0 # import functools import inspect import pecan import webob from nfv_common import debug from nfv_vim.api import openst...
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{ "lang": "python", "repo": "starlingx/nfv", "path": "/nfv/nfv-vim/nfv_vim/api/controllers/v1/openstack/_heat_api.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> url_target_index = pecan.request.url.find('/api/openstack/heat') url_target = pecan.request.url[url_target_index + len('/api/openstack/heat'):] if '' == url_target or '/' == url_target: url = token.get_service_url(openstack.OPENSTACK_SERVICE.HEAT, ...
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{ "lang": "python", "repo": "starlingx/nfv", "path": "/nfv/nfv-vim/nfv_vim/api/controllers/v1/openstack/_heat_api.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> functools.update_wrapper(proxy_http_wrapper, func) return proxy_http_wrapper return proxy_http_wrap class HeatAPI(object): """ OpenStack Heat API """ @expose_proxy_http() def _openstack_heat_proxy(self): """ OpenStack Heat Proxy """ ...
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{ "lang": "python", "repo": "starlingx/nfv", "path": "/nfv/nfv-vim/nfv_vim/api/controllers/v1/openstack/_heat_api.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|>def get_doc_date(soup): target_soup = soup[3] raw_date = target_soup.get('title') #date_format = '%Y.%m.%d %H:%M:%S' #date = datetime.strptime(raw_date, date_format) date = raw_date return date def get_doc_views(soup): target_soup = soup[4] views = target_soup.te...
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{ "lang": "python", "repo": "bootsofspeed/DCPheonix", "path": "/dc_api.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: bootsofspeed/DCPheonix path: /dc_api.py s = sess.get(url, **kwargs) break except requests.exceptions.Timeout as error: tprint('requests get timed out.') tprint(error) except requests.exceptions.RequestException as error: tprint...
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{ "lang": "python", "repo": "bootsofspeed/DCPheonix", "path": "/dc_api.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> doc_info = { 'title': None, 'no': None, 'user_id': None, 'user_name': None, 'ip': None, 'date': None, 'views': None, 'recommands': None, } doc_info['title'] = get_doc_title(doc_soup) doc_info['no'] = get_doc_no(doc_soup) doc_info['user_id']...
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{ "lang": "python", "repo": "bootsofspeed/DCPheonix", "path": "/dc_api.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: Khahory/curso_de_python_yacklyon-trabajo-py path: /Video 27/Funciones I.py def suma_tres(n1): print(n1 + 10) suma_tres(10) suma_tres(20) suma_tres(30) <|fim_suffix|>print(convertir_cadena("hola"))<|fim_middle|>def convertir_cadena(cadena): return cadena.upper()
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{ "lang": "python", "repo": "Khahory/curso_de_python_yacklyon-trabajo-py", "path": "/Video 27/Funciones I.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|>def convertir_cadena(cadena): return cadena.upper() print(convertir_cadena("hola"))<|fim_prefix|># repo: Khahory/curso_de_python_yacklyon-trabajo-py path: /Video 27/Funciones I.py def suma_tres(n1): <|fim_middle|> print(n1 + 10) suma_tres(10) suma_tres(20) suma_tres(30)
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{ "lang": "python", "repo": "Khahory/curso_de_python_yacklyon-trabajo-py", "path": "/Video 27/Funciones I.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|>suma_tres(10) suma_tres(20) suma_tres(30) def convertir_cadena(cadena): return cadena.upper() print(convertir_cadena("hola"))<|fim_prefix|># repo: Khahory/curso_de_python_yacklyon-trabajo-py path: /Video 27/Funciones I.py def suma_tres(n1): <|fim_middle|> print(n1 + 10)
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{ "lang": "python", "repo": "Khahory/curso_de_python_yacklyon-trabajo-py", "path": "/Video 27/Funciones I.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: rooneyrulz/polls_pro path: /src/framework/migrations/0005_auto_20200705_1845.py # Generated by Django 3.0.6 on 2020-07-05 13:15 from django.conf import settings from django.db import migrations, models <|fim_suffix|> dependencies = [ migrations.swappable_dependency(settings.AUTH_USE...
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{ "lang": "python", "repo": "rooneyrulz/polls_pro", "path": "/src/framework/migrations/0005_auto_20200705_1845.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> operations = [ migrations.RemoveField( model_name='framework', name='vote', ), migrations.AddField( model_name='framework', name='vote', field=models.ManyToManyField(to=settings.AUTH_USER_MODEL), ), ]<|fim_...
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{ "lang": "python", "repo": "rooneyrulz/polls_pro", "path": "/src/framework/migrations/0005_auto_20200705_1845.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ('framework', '0004_auto_20200705_1818'), ] operations = [ migrations.RemoveField( model_name='framework', name='vote', ), migrations.AddField( ...
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{ "lang": "python", "repo": "rooneyrulz/polls_pro", "path": "/src/framework/migrations/0005_auto_20200705_1845.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>process_video("project_video.mp4") #process_video("challenge_video.mp4") #process_video("harder_challenge_video.mp4")<|fim_prefix|># repo: skopen/CarND-Advanced-Lane-Lines path: /pipeline.py from main_image_processor import * <|fim_middle|>init(False)
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{ "lang": "python", "repo": "skopen/CarND-Advanced-Lane-Lines", "path": "/pipeline.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: skopen/CarND-Advanced-Lane-Lines path: /pipeline.py from main_image_processor import * <|fim_suffix|>process_video("project_video.mp4") #process_video("challenge_video.mp4") #process_video("harder_challenge_video.mp4")<|fim_middle|>init(False)
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{ "lang": "python", "repo": "skopen/CarND-Advanced-Lane-Lines", "path": "/pipeline.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: bobloy/aikaterna-cogs path: /forwarding/forwarding.py # forwarding.py is ported from another bot: # https://github.com/jacobcheatley/dankbot import discord from discord.ext import commands from .utils.dataIO import dataIO from .utils import checks class Forwarding: def __init__(self, bot...
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{ "lang": "python", "repo": "bobloy/aikaterna-cogs", "path": "/forwarding/forwarding.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> embed = discord.Embed() if message.author == self.bot.user: embed.title = 'Sent PM to {}#{} ({}).'.format(message.channel.user.name, message.channel.user.discriminator, message.channel.user.id) else: embed.set_author(name=message.author, icon_url=message.aut...
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{ "lang": "python", "repo": "bobloy/aikaterna-cogs", "path": "/forwarding/forwarding.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> def get_owner(self): owner_id = dataIO.load_json("data/red/settings.json")["OWNER"] return discord.utils.find(lambda m: m.id == owner_id, self.bot.get_all_members()) async def send_to_owner(self, **kwargs): if self.owner is None: self.owner = self.get_owner() ...
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{ "lang": "python", "repo": "bobloy/aikaterna-cogs", "path": "/forwarding/forwarding.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: carsam2021/instagram_api path: /instagram_api/response/switch_personal_profile.py from .mapper import ApiResponse, ApiResponseInterface from .mapper.types import Timestamp, AnyType from .model import User <|fim_suffix|>class SwitchPersonalProfileResponseInterface(ApiResponseInterface): users...
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{ "lang": "python", "repo": "carsam2021/instagram_api", "path": "/instagram_api/response/switch_personal_profile.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> class SwitchPersonalProfileResponse(ApiResponse, SwitchPersonalProfileResponseInterface): pass<|fim_prefix|># repo: carsam2021/instagram_api path: /instagram_api/response/switch_personal_profile.py from .mapper import ApiResponse, ApiResponseInterface from .mapper.types import Timestamp, AnyType fro...
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{ "lang": "python", "repo": "carsam2021/instagram_api", "path": "/instagram_api/response/switch_personal_profile.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: Uttam95yadav/CarND-Behavioral-Cloning-P3 path: /model.py import tensorflow as tf from keras.models import Sequential, model_from_json, load_model from keras.layers import Dense, Activation, Flatten, Dropout, Lambda, Cropping2D, ELU from keras.layers.convolutional import Convolution2D from scipy.m...
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{ "lang": "python", "repo": "Uttam95yadav/CarND-Behavioral-Cloning-P3", "path": "/model.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> num_data = len(csv_data) # itrate through batches for start in range(0, num_data, batch_size): images, measurements = [], [] # itrate inside the batch for csv_line in range(start, start + batch_size): if csv_line < num_data: image, measurement = get_image(cs...
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{ "lang": "python", "repo": "Uttam95yadav/CarND-Behavioral-Cloning-P3", "path": "/model.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: john-sandall/maven path: /tests/datasets/coronavirus/test_csse.py """ Running tests in development: $ cd /path/to/repo $ python -m pytest ./tests/datasets/coronavirus/test_csse.py Running tests against installed version (either `pip install .` or `pip install maven`): $ cd /path/to/r...
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{ "lang": "python", "repo": "john-sandall/maven", "path": "/tests/datasets/coronavirus/test_csse.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> def test_csse(): identifier = "coronavirus/CSSE" maven.get(identifier, data_directory="./data/") # CSSE_country.csv processed_filename = "CSSE_country.csv" df = pd.read_csv(Path("./data") / identifier / "processed" / processed_filename) assert df.columns.tolist() == ["date", "coun...
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{ "lang": "python", "repo": "john-sandall/maven", "path": "/tests/datasets/coronavirus/test_csse.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|>def on_message(client, userdata, msg): global statePower, stateColor, stateBright, stateHue, stateSat print(msg.topic+" "+str(msg.payload)) if msg.payload == "true": newValue = 1 elif msg.payload == "false": newValue = 0 else: try: newValue = int(m...
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{ "lang": "python", "repo": "jbieling/tradfri-mqtt", "path": "/tradfri_mqtt.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>if __name__ == '__main__': try: GPIO.setwarnings (True) GPIO.setmode (GPIO.BCM) GPIO.setup (TOUCHLINK_RESET_PIN, GPIO.OUT, initial=True) GPIO.setup (COLOR_PIN, GPIO.OUT, initial=True) GPIO.setup (DIM_DOWN_PIN, GPIO.OUT, initial=True) GPIO.setup (DIM_UP_...
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{ "lang": "python", "repo": "jbieling/tradfri-mqtt", "path": "/tradfri_mqtt.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: jbieling/tradfri-mqtt path: /tradfri_mqtt.py #!/usr/bin/env python # # MIT License # # Copyright (c) 2017 Jakob Bieling # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Softwa...
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{ "lang": "python", "repo": "jbieling/tradfri-mqtt", "path": "/tradfri_mqtt.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>emy_row += 1 if enemy_row > 2 or enemy_count > 12 or x == 0 or y == 0: tile = '-' elif tile == '#': box_row += 1 if box_row > 1 or box_count > 8 or x == 0 or y == 0: tile = '-' temp.append(tile) level.append(temp) box_row = 0 enemy_row = 0 box_count += box_ro...
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{ "lang": "python", "repo": "IoraDungeon/main", "path": "/randlevels.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|>== 0 or y == 0: tile = '-' temp.append(tile) level.append(temp) box_row = 0 enemy_row = 0 box_count += box_row enemy_count += enemy_row return level<|fim_prefix|># repo: IoraDungeon/main path: /randlevels.py import pygame import random # Returns a randomly generated 2d arra...
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{ "lang": "python", "repo": "IoraDungeon/main", "path": "/randlevels.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: IoraDungeon/main path: /randlevels.py import pygame import random # Returns a randomly generated 2d array def genlevel(): level = [] choices = ['-', '-','X','#', '-','-'] temp = [] enemy_count = 0 <|fim_suffix|>emy_row += 1 if enemy_row > 2 or enemy_count > 12 or x == 0 or y =...
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{ "lang": "python", "repo": "IoraDungeon/main", "path": "/randlevels.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> Throws KeyError exception if dictionary doesn't contain a key from "columns". """ file = open(path, 'w', newline = '', encoding = 'utf-8') writer = csv.writer(file, delimiter = '\t', quotechar = '', quoting = csv.QUOTE_NONE) row = [] for col in columns: row.append(col) writer.write...
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{ "lang": "python", "repo": "IMCS-DL4media/DL4media_ticker_extractor", "path": "/code/tsv.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: IMCS-DL4media/DL4media_ticker_extractor path: /code/tsv.py import csv """ Commonly used functions for operating with TSV files """ def read(path): """ Returns list of dictionaries. <|fim_suffix|>def write(l, path, columns): """ Writes write list of dictionaries to Tab Seperated Value...
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{ "lang": "python", "repo": "IMCS-DL4media/DL4media_ticker_extractor", "path": "/code/tsv.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: ginopalazzo/dedomeno path: /dedomeno/houses/migrations/0078_auto_20170104_1050.py # -*- coding: utf-8 -*- # Generated by Django 1.10.4 on 2017-01-04 09:50 from __future__ import unicode_literals from django.db import migrations, models <|fim_suffix|> operations = [ migrations.RenameF...
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{ "lang": "python", "repo": "ginopalazzo/dedomeno", "path": "/dedomeno/houses/migrations/0078_auto_20170104_1050.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> dependencies = [ ('houses', '0077_realestate_html'), ] operations = [ migrations.RenameField( model_name='realestate', old_name='source_url', new_name='web', ), migrations.RemoveField( model_name='realestate', ...
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{ "lang": "python", "repo": "ginopalazzo/dedomeno", "path": "/dedomeno/houses/migrations/0078_auto_20170104_1050.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> return HttpResponseRedirect('/sales/') return render(request, self.template_name, {'form': form}) class SalesList(AjaxListView): ''' List of sales ''' context_object_name = 'sales' template_name = '../templates/sales_list.html' page_template = '../templates/...
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{ "lang": "python", "repo": "iabok/sales-tracker", "path": "/web/sales_app/apps/sales/views.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: iabok/sales-tracker path: /web/sales_app/apps/sales/views.py from django.http import HttpResponseRedirect from django.shortcuts import render from django.urls import reverse_lazy from django.views import View from django.views.generic import ListView, DetailView from el_pagination.views import A...
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{ "lang": "python", "repo": "iabok/sales-tracker", "path": "/web/sales_app/apps/sales/views.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> ''' Return all the stations ''' return Sales.objects.all() class SalesDetail(DetailView): ''' View sales details ''' context_object_name = 'sales' model = Sales template_name = '../templates/sales_detail.html' def get_context_data(self, **...
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{ "lang": "python", "repo": "iabok/sales-tracker", "path": "/web/sales_app/apps/sales/views.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> assert 'foo.sh' == \ nodelib.script_deployment('foo.sh', 'l1\nl2\nl3\n').name def test_node_deployment(self): nd = nodelib.Deployment(bundles=['mta']) assert nd.name.startswith(config.DEFAULT_NAME_PREFIX) assert libcloud.compute.deployment.SSHKeyDeployment ...
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{ "lang": "python", "repo": "rskgithub/provision", "path": "/test/test_deploy.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: rskgithub/provision path: /test/test_deploy.py import unittest import libcloud.compute.deployment import provision.config as config import provision.nodelib as nodelib <|fim_suffix|> nd = nodelib.Deployment(bundles=['mta']) assert nd.name.startswith(config.DEFAULT_NAME_PREFIX) ...
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{ "lang": "python", "repo": "rskgithub/provision", "path": "/test/test_deploy.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|> nd = nodelib.Deployment(bundles=['mta']) assert nd.name.startswith(config.DEFAULT_NAME_PREFIX) assert libcloud.compute.deployment.SSHKeyDeployment == type(nd.deployment.steps[0])<|fim_prefix|># repo: rskgithub/provision path: /test/test_deploy.py import unittest import libcloud.c...
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{ "lang": "python", "repo": "rskgithub/provision", "path": "/test/test_deploy.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: CiscoTestAutomation/genieparser path: /src/genie/libs/parser/junos/tests/ShowSnmpMibWalkSystem/cli/equal/golden_output_1_expected.py expected_output = { "snmp-object-information": { "snmp-object": [ { "name": "sysDescr.0", "object-value": "J...
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{ "lang": "python", "repo": "CiscoTestAutomation/genieparser", "path": "/src/genie/libs/parser/junos/tests/ShowSnmpMibWalkSystem/cli/equal/golden_output_1_expected.py", "mode": "psm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_suffix|> {"name": "sysUpTime.0", "object-value": "1805867174"}, {"name": "sysContact.0", "object-value": "KHK"}, {"name": "sysName.0", "object-value": "sr_hktGDS201"}, { "name": "sysLocation.0", "object-value": "TH-HK2/floor_1B-002/rack_...
code_fim
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{ "lang": "python", "repo": "CiscoTestAutomation/genieparser", "path": "/src/genie/libs/parser/junos/tests/ShowSnmpMibWalkSystem/cli/equal/golden_output_1_expected.py", "mode": "spm", "license": "Apache-2.0", "source": "the-stack-v2" }
<|fim_prefix|># repo: azgs-geomapmaker/GeMS-Toolbox path: /ArcPro/Scripts/lookup.py #! /usr/bin/env python3 # Note: https URLs possibly cause Geoprocessing scripts to hang... <|fim_suffix|># Send back response as JSON # TODO improve flexibility of call, possibly remove hard-coded indent level arcpy.AddMessage(...
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{ "lang": "python", "repo": "azgs-geomapmaker/GeMS-Toolbox", "path": "/ArcPro/Scripts/lookup.py", "mode": "psm", "license": "MIT", "source": "the-stack-v2" }
<|fim_suffix|># Retrieve JSON response = urllib.request.urlopen(url).read().decode() response_as_json = json.loads(response) # Send back response as JSON # TODO improve flexibility of call, possibly remove hard-coded indent level arcpy.AddMessage(json.dumps(response_as_json, sort_keys=True, indent=4))<|fim_pre...
code_fim
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{ "lang": "python", "repo": "azgs-geomapmaker/GeMS-Toolbox", "path": "/ArcPro/Scripts/lookup.py", "mode": "spm", "license": "MIT", "source": "the-stack-v2" }
<|fim_prefix|># repo: optexture/td-components path: /utils/settings/SettingsExt.py import json # noinspection PyUnreachableCode if False: # noinspection PyUnresolvedReferences from _stubs import * from typing import Any iop.hostedComp = COMP() ipar.compEditor = Any() from _stubs.TDCallbacksExt import CallbacksE...
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{ "lang": "python", "repo": "optexture/td-components", "path": "/utils/settings/SettingsExt.py", "mode": "psm", "license": "CC0-1.0", "source": "the-stack-v2" }