Reset23/the-stack-v2-filtered-python · Datasets at Hugging Face

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/14_Yandex_Final_Tasks/A/A.py

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KorsakovPV/yandex_contest

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""" A. Большое число Вечером ребята решили поиграть в игру "Большое число". Даны числа. Нужно определить, какое самое большое число можно из них составить. Формат ввода В первой строке записано n - количество чисел. Оно не превосходит 100. Во второй строке через пробел записаны n неотрицательных чисел, каждое из которых не превосходит 1000. Формат вывода Нужно вывести самое большое число, которое можно из них составить. """ # 34601917 class solution_key(str): def __lt__(self, y): return self + y > y + self class Solution: def largest_number(self, nums): nums.sort(key=solution_key) return ''.join(nums) def main(input_file): input_file = input_file.rstrip().split('\n') data = input_file[1].rstrip().split() sol = Solution() return sol.largest_number(data) def test(num): left = 1 while left < len(num) // 2: data = list() data.append(num[:left]) data.append(num[left:-left]) data.append(num[-left:]) sol = Solution() print(data, sol.largest_number(data)) left += 1 if __name__ == '__main__': with open('input.txt') as f: input_file = f.read() answer = main(input_file) with open('output.txt', 'w') as f: f.write(answer) test('123456789') test('998877665544332211') test('11111111112') with open('input1.txt') as f: input_file = f.read() assert main(input_file) == '56215', 'input1.txt error\n' + str( main(input_file)) with open('input2.txt') as f: input_file = f.read() assert main(input_file) == '78321', 'input2.txt error\n' + str( main(input_file)) with open('input3.txt') as f: input_file = f.read() assert main(input_file) == '542210', 'input3.txt error\n' + str( main(input_file))

[ "pavelkpv@gmail.com" ]

pavelkpv@gmail.com

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/3/amd64/envs/navigator/lib/python3.6/site-packages/osgeo/_osr.py

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DFO-Ocean-Navigator/navigator-toolchain

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def __bootstrap__(): global __bootstrap__, __loader__, __file__ import sys, pkg_resources, imp __file__ = pkg_resources.resource_filename(__name__, '_osr.cpython-36m-x86_64-linux-gnu.so') __loader__ = None; del __bootstrap__, __loader__ imp.load_dynamic(__name__,__file__) __bootstrap__()

[ "dwayne.hart@gmail.com" ]

dwayne.hart@gmail.com

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/src/coghq/DistributedMazeAI.py

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toontown-restoration-project/toontown

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from otp.level import DistributedEntityAI from . import DistributedBarrelBaseAI from direct.directnotify import DirectNotifyGlobal from direct.distributed.ClockDelta import globalClockDelta from direct.task import Task class DistributedMazeAI(DistributedEntityAI.DistributedEntityAI): notify = DirectNotifyGlobal.directNotify.newCategory('DistributedMazeAI') def __init__(self, level, entId): """Create the maze.""" DistributedEntityAI.DistributedEntityAI.__init__( self, level, entId) self.roomDoId = level.doId self.GameDuration = 60.0 self.DamageOnFailure = 20 self.finishedList = [] def delete(self): """Delete ourself and cleanup tasks.""" self.removeAllTasks() DistributedEntityAI.DistributedEntityAI.delete(self) def announceGenerate(self): """Load fields dependent on required fields.""" DistributedEntityAI.DistributedEntityAI.announceGenerate(self) self.mazeEndTimeTaskName = self.uniqueName('mazeEndTime') def getRoomDoId(self): """Return the doId of the room that contains us.""" return self.roomDoId def setClientTriggered(self): """A player entered us, start the moles.""" if not hasattr(self, 'gameStartTime'): self.gameStartTime = globalClock.getRealTime() self.b_setGameStart(globalClockDelta.localToNetworkTime(\ self.gameStartTime)) def b_setGameStart(self, timestamp): # send the distributed message first, so that any network msgs # sent by the subclass upon start of the game will arrive # after the game start msg self.d_setGameStart(timestamp) self.setGameStart(timestamp) def d_setGameStart(self, timestamp): self.notify.debug("BASE: Sending setGameStart") self.sendUpdate("setGameStart", [timestamp]) def setGameStart(self, timestamp): """ This method gets called when all avatars are ready Inheritors should call this plus the code to start the game """ self.notify.debug("BASE: setGameStart") self.GameDuration = 35.0 + (self.numSections * 15.0) self.prepareForGameStartOrRestart() def prepareForGameStartOrRestart(self): """Zero out needed fields on a start or restart of the mole field.""" self.doMethodLater(self.GameDuration, self.gameEndingTimeHit, self.mazeEndTimeTaskName ) def setFinishedMaze(self): senderId = self.air.getAvatarIdFromSender() if senderId not in self.finishedList: toon = simbase.air.doId2do.get(senderId) if toon: if len(self.finishedList) < 1: toon.toonUp(200.0) else: toon.toonUp(20.0) lastToon = 0 if hasattr(self, 'level'): numToons = len(self.level.presentAvIds) if numToons == (len(self.finishedList) + 1): lastToon = 1 self.sendUpdate("toonFinished" , [senderId, len(self.finishedList), lastToon]) #print("toonFinished sent") self.finishedList.append(senderId) def gameEndingTimeHit(self, task): """Handle the game hitting its ending time.""" roomId = self.getLevelDoId() room = simbase.air.doId2do.get(roomId) if room: playerIds = room.presentAvIds for avId in playerIds: av = simbase.air.doId2do.get(avId) if av and (avId not in self.finishedList): self.finishedList.append(avId) self.sendUpdate("setGameOver", []) def damageMe(self): senderId = self.air.getAvatarIdFromSender() av = simbase.air.doId2do.get(senderId) roomId = self.getLevelDoId() room = simbase.air.doId2do.get(roomId) if room: playerIds = room.presentAvIds if av and (senderId in playerIds): av.takeDamage(self.DamageOnFailure, quietly=0) room.sendUpdate('forceOuch',[self.DamageOnFailure])

[ "brianlach72@gmail.com" ]

brianlach72@gmail.com

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/tapis_cli/commands/taccapis/v2/jobs/helpers/error.py

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"""Exceptions and error handlers """ import logging import re import os import time from agavepy.agave import AgaveError from attrdict import AttrDict from requests.exceptions import HTTPError __all__ = [ 'AgaveError', 'HTTPError', 'HTTPNotFoundError', 'TapisOperationFailed', 'ImportNotCompleteError', 'OutputFileExistsError', 'read_tapis_http_error', 'handle_http_error' ] class OutputFileExistsError(IOError): pass class TapisOperationFailed(AgaveError): pass class HTTPNotFoundError(HTTPError): pass class ImportNotCompleteError(HTTPNotFoundError): pass def read_tapis_http_error(http_error_object): """Extract useful details from an exception raised by interactting with a Tapis API """ h = http_error_object # extract HTTP response code code = -1 try: code = h.response.status_code assert isinstance(code, int) except Exception: # we have no idea what happened code = 418 # extract HTTP reason reason = 'UNKNOWN ERROR' try: reason = h.response.reason except Exception: pass # Tapis APIs will give JSON responses if the target web service is at all # capable of fulfilling the request. Therefore, try first to extract fields # from the JSON response, then fall back to returning the plain text from # the response. err_msg = 'Unexpected encountered by the web service' status_msg = 'error' version_msg = 'unknown' try: j = h.response.json() if 'message' in j: err_msg = j['message'] if 'status' in j: status_msg = j['status'] if 'version' in j: version_msg = j['version'] except Exception: err_msg = h.response.text httperror = 'HTTPError - {} {}; message: {}; status: {}; version: {}; response.content: {}' return httperror.format(code, reason, err_msg, status_msg, version_msg, h.response.content) def handle_http_error(httperror): decorated_http_error = read_tapis_http_error(httperror) if httperror.response.status_code == 404: raise HTTPNotFoundError(httperror) else: raise decorated_http_error

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from pyspark import SparkConf, SparkContext conf = SparkConf().setAppName("spark_app_read_data_from_rcfile") sc = SparkContext(conf=conf) rowRDD = sc.hadoopFile(path="hdfs://dip.cdh5.dev:8020/user/yurun/rcfile", inputFormatClass="org.apache.hadoop.hive.ql.io.RCFileInputFormat", keyClass="org.apache.hadoop.io.LongWritable", valueClass="org.apache.hadoop.hive.serde2.columnar.BytesRefArrayWritable", valueConverter="com.sina.dip.spark.converter.BytesRefArrayWritableToObjectArrayConverter") pairs = rowRDD.collect() for pair in pairs: print pair[0], pair[1] sc.stop()

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xuefeng_11@qq.com

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/clubs/migrations/0004_auto_20150313_0759.py

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mozilla/teach-api

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# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import models, migrations from django.conf import settings class Migration(migrations.Migration): dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ('clubs', '0003_auto_20150313_0020'), ] operations = [ migrations.RemoveField( model_name='club', name='creator', ), migrations.AddField( model_name='club', name='owner', field=models.ForeignKey(default=1, to=settings.AUTH_USER_MODEL, help_text=b'The user who owns the Club and can change it.'), preserve_default=False, ), migrations.AlterField( model_name='club', name='longitude', field=models.FloatField(help_text=b'Longitude of the club. Leave blank to automatically determine.', null=True, blank=True), preserve_default=True, ), ]

[ "varmaa@gmail.com" ]

varmaa@gmail.com

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/1807-1/07day/14-登录.py

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liuchenghao2000/1807

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account = 123456 password = 'abc' a = int(input('请输入账号:')) p = input('请输入密码:') if a == account and p == password: print('登陆成功') elif a != account: print('账号不对') elif p != password: print('密码错误')

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1773719461@qq.com

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/src/architectures/jet_transforms/nmp/fixed_nmp/fixed_nmp.py

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XintianHan/jets

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import os import torch import torch.nn as nn import torch.nn.functional as F from torch.autograd import Variable #from .adjacency import construct_physics_based_adjacency_matrix #from ..stacked_nmp.attention_pooling import construct_pooling_layer from ..message_passing import MP_LAYERS #from ..message_passing.adjacency import construct_adjacency_matrix_layer from ..adjacency import construct_adjacency from .....architectures.readout import READOUTS from .....architectures.embedding import EMBEDDINGS from .....monitors import Histogram from .....monitors import Collect from .....monitors import BatchMatrixMonitor class FixedNMP(nn.Module): def __init__(self, features=None, hidden=None, iters=None, readout=None, matrix=None, emb_init=None, mp_layer=None, **kwargs ): super().__init__() self.iters = iters emb_kwargs = {x: kwargs[x] for x in ['act', 'wn']} self.embedding = EMBEDDINGS['n'](dim_in=features, dim_out=hidden, n_layers=int(emb_init), **emb_kwargs) mp_kwargs = {x: kwargs[x] for x in ['act', 'wn', 'update', 'message']} MPLayer = MP_LAYERS[mp_layer] self.mp_layers = nn.ModuleList([MPLayer(hidden=hidden,**mp_kwargs) for _ in range(iters)]) Readout = READOUTS[readout] self.readout = Readout(hidden, hidden) self.adjacency_matrix = construct_adjacency(matrix=matrix, dim_in=features, dim_out=hidden, **kwargs) def forward(self, jets, mask=None, **kwargs): h = self.embedding(jets) dij = self.adjacency_matrix(jets, mask=mask, **kwargs) for mp in self.mp_layers: h = mp(h=h, mask=mask, dij=dij, **kwargs) out = self.readout(h) return out

[ "isaachenrion@gmail.com" ]

isaachenrion@gmail.com

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/homeassistant/components/rachio/webhooks.py

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"""Webhooks used by rachio.""" from aiohttp import web from homeassistant.const import URL_API from homeassistant.core import callback from homeassistant.helpers.dispatcher import async_dispatcher_send from .const import ( CONF_CLOUDHOOK_URL, CONF_WEBHOOK_ID, DOMAIN, KEY_EXTERNAL_ID, KEY_TYPE, SIGNAL_RACHIO_CONTROLLER_UPDATE, SIGNAL_RACHIO_RAIN_DELAY_UPDATE, SIGNAL_RACHIO_RAIN_SENSOR_UPDATE, SIGNAL_RACHIO_SCHEDULE_UPDATE, SIGNAL_RACHIO_ZONE_UPDATE, ) # Device webhook values TYPE_CONTROLLER_STATUS = "DEVICE_STATUS" SUBTYPE_OFFLINE = "OFFLINE" SUBTYPE_ONLINE = "ONLINE" SUBTYPE_OFFLINE_NOTIFICATION = "OFFLINE_NOTIFICATION" SUBTYPE_COLD_REBOOT = "COLD_REBOOT" SUBTYPE_SLEEP_MODE_ON = "SLEEP_MODE_ON" SUBTYPE_SLEEP_MODE_OFF = "SLEEP_MODE_OFF" SUBTYPE_BROWNOUT_VALVE = "BROWNOUT_VALVE" # Rain delay values TYPE_RAIN_DELAY_STATUS = "RAIN_DELAY" SUBTYPE_RAIN_DELAY_ON = "RAIN_DELAY_ON" SUBTYPE_RAIN_DELAY_OFF = "RAIN_DELAY_OFF" # Rain sensor values TYPE_RAIN_SENSOR_STATUS = "RAIN_SENSOR_DETECTION" SUBTYPE_RAIN_SENSOR_DETECTION_ON = "RAIN_SENSOR_DETECTION_ON" SUBTYPE_RAIN_SENSOR_DETECTION_OFF = "RAIN_SENSOR_DETECTION_OFF" # Schedule webhook values TYPE_SCHEDULE_STATUS = "SCHEDULE_STATUS" SUBTYPE_SCHEDULE_STARTED = "SCHEDULE_STARTED" SUBTYPE_SCHEDULE_STOPPED = "SCHEDULE_STOPPED" SUBTYPE_SCHEDULE_COMPLETED = "SCHEDULE_COMPLETED" SUBTYPE_WEATHER_NO_SKIP = "WEATHER_INTELLIGENCE_NO_SKIP" SUBTYPE_WEATHER_SKIP = "WEATHER_INTELLIGENCE_SKIP" SUBTYPE_WEATHER_CLIMATE_SKIP = "WEATHER_INTELLIGENCE_CLIMATE_SKIP" SUBTYPE_WEATHER_FREEZE = "WEATHER_INTELLIGENCE_FREEZE" # Zone webhook values TYPE_ZONE_STATUS = "ZONE_STATUS" SUBTYPE_ZONE_STARTED = "ZONE_STARTED" SUBTYPE_ZONE_STOPPED = "ZONE_STOPPED" SUBTYPE_ZONE_COMPLETED = "ZONE_COMPLETED" SUBTYPE_ZONE_CYCLING = "ZONE_CYCLING" SUBTYPE_ZONE_CYCLING_COMPLETED = "ZONE_CYCLING_COMPLETED" SUBTYPE_ZONE_PAUSED = "ZONE_PAUSED" # Webhook callbacks LISTEN_EVENT_TYPES = [ "DEVICE_STATUS_EVENT", "ZONE_STATUS_EVENT", "RAIN_DELAY_EVENT", "RAIN_SENSOR_DETECTION_EVENT", "SCHEDULE_STATUS_EVENT", ] WEBHOOK_CONST_ID = "homeassistant.rachio:" WEBHOOK_PATH = URL_API + DOMAIN SIGNAL_MAP = { TYPE_CONTROLLER_STATUS: SIGNAL_RACHIO_CONTROLLER_UPDATE, TYPE_RAIN_DELAY_STATUS: SIGNAL_RACHIO_RAIN_DELAY_UPDATE, TYPE_RAIN_SENSOR_STATUS: SIGNAL_RACHIO_RAIN_SENSOR_UPDATE, TYPE_SCHEDULE_STATUS: SIGNAL_RACHIO_SCHEDULE_UPDATE, TYPE_ZONE_STATUS: SIGNAL_RACHIO_ZONE_UPDATE, } @callback def async_register_webhook(hass, webhook_id, entry_id): """Register a webhook.""" async def _async_handle_rachio_webhook(hass, webhook_id, request): """Handle webhook calls from the server.""" data = await request.json() try: auth = data.get(KEY_EXTERNAL_ID, "").split(":")[1] assert auth == hass.data[DOMAIN][entry_id].rachio.webhook_auth except (AssertionError, IndexError): return web.Response(status=web.HTTPForbidden.status_code) update_type = data[KEY_TYPE] if update_type in SIGNAL_MAP: async_dispatcher_send(hass, SIGNAL_MAP[update_type], data) return web.Response(status=web.HTTPNoContent.status_code) hass.components.webhook.async_register( DOMAIN, "Rachio", webhook_id, _async_handle_rachio_webhook ) async def async_get_or_create_registered_webhook_id_and_url(hass, entry): """Generate webhook ID.""" config = entry.data.copy() updated_config = False webhook_url = None webhook_id = config.get(CONF_WEBHOOK_ID) if not webhook_id: webhook_id = hass.components.webhook.async_generate_id() config[CONF_WEBHOOK_ID] = webhook_id updated_config = True if hass.components.cloud.async_active_subscription(): cloudhook_url = config.get(CONF_CLOUDHOOK_URL) if not cloudhook_url: cloudhook_url = await hass.components.cloud.async_create_cloudhook( webhook_id ) config[CONF_CLOUDHOOK_URL] = cloudhook_url updated_config = True webhook_url = cloudhook_url if not webhook_url: webhook_url = hass.components.webhook.async_generate_url(webhook_id) if updated_config: hass.config_entries.async_update_entry(entry, data=config) return webhook_id, webhook_url

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batxes/exocyst_scripts

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import _surface import chimera try: import chimera.runCommand except: pass from VolumePath import markerset as ms try: from VolumePath import Marker_Set, Link new_marker_set=Marker_Set except: from VolumePath import volume_path_dialog d= volume_path_dialog(True) new_marker_set= d.new_marker_set marker_sets={} surf_sets={} if "Cog1_Anch" not in marker_sets: s=new_marker_set('Cog1_Anch') marker_sets["Cog1_Anch"]=s s= marker_sets["Cog1_Anch"] mark=s.place_marker((454.295, 440.981, 300.65), (0, 0, 1), 21.9005) if "Cog2_GFPN" not in marker_sets: s=new_marker_set('Cog2_GFPN') marker_sets["Cog2_GFPN"]=s s= marker_sets["Cog2_GFPN"] mark=s.place_marker((355.946, 424.19, 500.869), (1, 0.5, 0), 21.9005) if "Cog2_GFPC" not in marker_sets: s=new_marker_set('Cog2_GFPC') marker_sets["Cog2_GFPC"]=s s= marker_sets["Cog2_GFPC"] mark=s.place_marker((412.644, 593.559, 557.081), (1, 0.5, 0), 21.9005) if "Cog2_Anch" not in marker_sets: s=new_marker_set('Cog2_Anch') marker_sets["Cog2_Anch"]=s s= marker_sets["Cog2_Anch"] mark=s.place_marker((623.79, 589.94, 378.073), (1, 0.5, 0), 21.9005) if "Cog3_GFPN" not in marker_sets: s=new_marker_set('Cog3_GFPN') marker_sets["Cog3_GFPN"]=s s= marker_sets["Cog3_GFPN"] mark=s.place_marker((362.824, 473.038, 475.95), (1, 0.87, 0), 21.9005) if "Cog3_GFPC" not in marker_sets: s=new_marker_set('Cog3_GFPC') marker_sets["Cog3_GFPC"]=s s= marker_sets["Cog3_GFPC"] mark=s.place_marker((354.356, 461.616, 487.857), (1, 0.87, 0), 21.9005) if "Cog3_Anch" not in marker_sets: s=new_marker_set('Cog3_Anch') marker_sets["Cog3_Anch"]=s s= marker_sets["Cog3_Anch"] mark=s.place_marker((512.882, 307.961, 572.428), (1, 0.87, 0), 21.9005) if "Cog4_GFPN" not in marker_sets: s=new_marker_set('Cog4_GFPN') marker_sets["Cog4_GFPN"]=s s= marker_sets["Cog4_GFPN"] mark=s.place_marker((574.303, 418.992, 435.075), (0.97, 0.51, 0.75), 21.9005) if "Cog4_GFPC" not in marker_sets: s=new_marker_set('Cog4_GFPC') marker_sets["Cog4_GFPC"]=s s= marker_sets["Cog4_GFPC"] mark=s.place_marker((595.04, 300.665, 517.279), (0.97, 0.51, 0.75), 21.9005) if "Cog4_Anch" not in marker_sets: s=new_marker_set('Cog4_Anch') marker_sets["Cog4_Anch"]=s s= marker_sets["Cog4_Anch"] mark=s.place_marker((538.74, 324.189, 563.835), (0.97, 0.51, 0.75), 21.9005) if "Cog5_GFPN" not in marker_sets: s=new_marker_set('Cog5_GFPN') marker_sets["Cog5_GFPN"]=s s= marker_sets["Cog5_GFPN"] mark=s.place_marker((436.049, 499.418, 452.124), (0.39, 0.31, 0.14), 21.9005) if "Cog5_GFPC" not in marker_sets: s=new_marker_set('Cog5_GFPC') marker_sets["Cog5_GFPC"]=s s= marker_sets["Cog5_GFPC"] mark=s.place_marker((349.642, 471.117, 512.95), (0.39, 0.31, 0.14), 21.9005) if "Cog5_Anch" not in marker_sets: s=new_marker_set('Cog5_Anch') marker_sets["Cog5_Anch"]=s s= marker_sets["Cog5_Anch"] mark=s.place_marker((536.204, 554.528, 366.226), (0.39, 0.31, 0.14), 21.9005) if "Cog6_GFPN" not in marker_sets: s=new_marker_set('Cog6_GFPN') marker_sets["Cog6_GFPN"]=s s= marker_sets["Cog6_GFPN"] mark=s.place_marker((401.287, 486.686, 510.966), (0.6, 0.31, 0.64), 21.9005) if "Cog6_GFPC" not in marker_sets: s=new_marker_set('Cog6_GFPC') marker_sets["Cog6_GFPC"]=s s= marker_sets["Cog6_GFPC"] mark=s.place_marker((409.575, 412.839, 422.354), (0.6, 0.31, 0.64), 21.9005) if "Cog6_Anch" not in marker_sets: s=new_marker_set('Cog6_Anch') marker_sets["Cog6_Anch"]=s s= marker_sets["Cog6_Anch"] mark=s.place_marker((450.761, 413.68, 636.658), (0.6, 0.31, 0.64), 21.9005) if "Cog7_GFPN" not in marker_sets: s=new_marker_set('Cog7_GFPN') marker_sets["Cog7_GFPN"]=s s= marker_sets["Cog7_GFPN"] mark=s.place_marker((399.115, 444.379, 445.665), (0.89, 0.1, 0.1), 21.9005) if "Cog7_GFPC" not in marker_sets: s=new_marker_set('Cog7_GFPC') marker_sets["Cog7_GFPC"]=s s= marker_sets["Cog7_GFPC"] mark=s.place_marker((640.451, 524.817, 544.187), (0.89, 0.1, 0.1), 21.9005) if "Cog7_Anch" not in marker_sets: s=new_marker_set('Cog7_Anch') marker_sets["Cog7_Anch"]=s s= marker_sets["Cog7_Anch"] mark=s.place_marker((529.327, 534.872, 611.099), (0.89, 0.1, 0.1), 21.9005) if "Cog8_GFPC" not in marker_sets: s=new_marker_set('Cog8_GFPC') marker_sets["Cog8_GFPC"]=s s= marker_sets["Cog8_GFPC"] mark=s.place_marker((400.713, 509.226, 479.628), (0.3, 0.69, 0.29), 21.9005) if "Cog8_Anch" not in marker_sets: s=new_marker_set('Cog8_Anch') marker_sets["Cog8_Anch"]=s s= marker_sets["Cog8_Anch"] mark=s.place_marker((497.055, 607.308, 396.047), (0.3, 0.69, 0.29), 21.9005) for k in surf_sets.keys(): chimera.openModels.add([surf_sets[k]])

[ "batxes@gmail.com" ]

batxes@gmail.com

e98489d6b8cb40edbfccddb2db4baba39162bb6f

d7016f69993570a1c55974582cda899ff70907ec

/sdk/monitor/azure-mgmt-monitor/azure/mgmt/monitor/v2018_03_01/aio/operations/_metric_alerts_status_operations.py

1576cd774f361745d159f2234176c397ca099b72

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permissive

kurtzeborn/azure-sdk-for-python

51ca636ad26ca51bc0c9e6865332781787e6f882

b23e71b289c71f179b9cf9b8c75b1922833a542a

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2023-03-21T14:19:50.299852

2023-02-15T13:30:47

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# pylint: disable=too-many-lines # coding=utf-8 # -------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # Code generated by Microsoft (R) AutoRest Code Generator. # Changes may cause incorrect behavior and will be lost if the code is regenerated. # -------------------------------------------------------------------------- from typing import Any, Callable, Dict, Optional, TypeVar from azure.core.exceptions import ( ClientAuthenticationError, HttpResponseError, ResourceExistsError, ResourceNotFoundError, ResourceNotModifiedError, map_error, ) from azure.core.pipeline import PipelineResponse from azure.core.pipeline.transport import AsyncHttpResponse from azure.core.rest import HttpRequest from azure.core.tracing.decorator_async import distributed_trace_async from azure.core.utils import case_insensitive_dict from azure.mgmt.core.exceptions import ARMErrorFormat from ... import models as _models from ..._vendor import _convert_request from ...operations._metric_alerts_status_operations import build_list_by_name_request, build_list_request T = TypeVar("T") ClsType = Optional[Callable[[PipelineResponse[HttpRequest, AsyncHttpResponse], T, Dict[str, Any]], Any]] class MetricAlertsStatusOperations: """ .. warning:: **DO NOT** instantiate this class directly. Instead, you should access the following operations through :class:`~$(python-base-namespace).v2018_03_01.aio.MonitorManagementClient`'s :attr:`metric_alerts_status` attribute. """ models = _models def __init__(self, *args, **kwargs) -> None: input_args = list(args) self._client = input_args.pop(0) if input_args else kwargs.pop("client") self._config = input_args.pop(0) if input_args else kwargs.pop("config") self._serialize = input_args.pop(0) if input_args else kwargs.pop("serializer") self._deserialize = input_args.pop(0) if input_args else kwargs.pop("deserializer") @distributed_trace_async async def list( self, resource_group_name: str, rule_name: str, **kwargs: Any ) -> _models.MetricAlertStatusCollection: """Retrieve an alert rule status. :param resource_group_name: The name of the resource group. The name is case insensitive. Required. :type resource_group_name: str :param rule_name: The name of the rule. Required. :type rule_name: str :keyword callable cls: A custom type or function that will be passed the direct response :return: MetricAlertStatusCollection or the result of cls(response) :rtype: ~$(python-base-namespace).v2018_03_01.models.MetricAlertStatusCollection :raises ~azure.core.exceptions.HttpResponseError: """ error_map = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError, 304: ResourceNotModifiedError, } error_map.update(kwargs.pop("error_map", {}) or {}) _headers = kwargs.pop("headers", {}) or {} _params = case_insensitive_dict(kwargs.pop("params", {}) or {}) api_version = kwargs.pop("api_version", _params.pop("api-version", "2018-03-01")) # type: str cls = kwargs.pop("cls", None) # type: ClsType[_models.MetricAlertStatusCollection] request = build_list_request( resource_group_name=resource_group_name, rule_name=rule_name, subscription_id=self._config.subscription_id, api_version=api_version, template_url=self.list.metadata["url"], headers=_headers, params=_params, ) request = _convert_request(request) request.url = self._client.format_url(request.url) # type: ignore pipeline_response = await self._client._pipeline.run( # type: ignore # pylint: disable=protected-access request, stream=False, **kwargs ) response = pipeline_response.http_response if response.status_code not in [200]: map_error(status_code=response.status_code, response=response, error_map=error_map) error = self._deserialize.failsafe_deserialize(_models.ErrorResponse, pipeline_response) raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat) deserialized = self._deserialize("MetricAlertStatusCollection", pipeline_response) if cls: return cls(pipeline_response, deserialized, {}) return deserialized list.metadata = {"url": "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Insights/metricAlerts/{ruleName}/status"} # type: ignore @distributed_trace_async async def list_by_name( self, resource_group_name: str, rule_name: str, status_name: str, **kwargs: Any ) -> _models.MetricAlertStatusCollection: """Retrieve an alert rule status. :param resource_group_name: The name of the resource group. The name is case insensitive. Required. :type resource_group_name: str :param rule_name: The name of the rule. Required. :type rule_name: str :param status_name: The name of the status. Required. :type status_name: str :keyword callable cls: A custom type or function that will be passed the direct response :return: MetricAlertStatusCollection or the result of cls(response) :rtype: ~$(python-base-namespace).v2018_03_01.models.MetricAlertStatusCollection :raises ~azure.core.exceptions.HttpResponseError: """ error_map = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError, 304: ResourceNotModifiedError, } error_map.update(kwargs.pop("error_map", {}) or {}) _headers = kwargs.pop("headers", {}) or {} _params = case_insensitive_dict(kwargs.pop("params", {}) or {}) api_version = kwargs.pop("api_version", _params.pop("api-version", "2018-03-01")) # type: str cls = kwargs.pop("cls", None) # type: ClsType[_models.MetricAlertStatusCollection] request = build_list_by_name_request( resource_group_name=resource_group_name, rule_name=rule_name, status_name=status_name, subscription_id=self._config.subscription_id, api_version=api_version, template_url=self.list_by_name.metadata["url"], headers=_headers, params=_params, ) request = _convert_request(request) request.url = self._client.format_url(request.url) # type: ignore pipeline_response = await self._client._pipeline.run( # type: ignore # pylint: disable=protected-access request, stream=False, **kwargs ) response = pipeline_response.http_response if response.status_code not in [200]: map_error(status_code=response.status_code, response=response, error_map=error_map) error = self._deserialize.failsafe_deserialize(_models.ErrorResponse, pipeline_response) raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat) deserialized = self._deserialize("MetricAlertStatusCollection", pipeline_response) if cls: return cls(pipeline_response, deserialized, {}) return deserialized list_by_name.metadata = {"url": "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Insights/metricAlerts/{ruleName}/status/{statusName}"} # type: ignore

[ "noreply@github.com" ]

kurtzeborn.noreply@github.com

b70ee8da1219dd9283206acf0b078fbbe721eef6

558157826e0d25ff8f8e1e3a99a602832b49cfae

/model_0/mtl_model.py

78ab9c906397f549608234f6815d6fb3659eb38a

[]

no_license

xljhtq/Transfer-learning-

3ed5d6b8663cc852193f5b5935e7932732158910

44e83b30753dd92dbc5d4fae2d85aa8aaef2c82c

refs/heads/master

2020-03-22T21:45:00.927073

2018-08-08T06:56:24

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py

# encoding=utf8 import tensorflow as tf from base_model import * TASK_NUM = 2 class MTLModel(): def __init__(self, max_len=25, filter_sizes=1, num_filters=1, num_hidden=1, word_vocab=None, l2_reg_lambda=0.0, learning_rate=1, adv=True): self.dropout_keep_prob = tf.placeholder(tf.float32, name="dropout_keep_prob") self.input_left_0 = tf.placeholder(tf.int32, [None, max_len], name="input_left_0") self.input_right_0 = tf.placeholder(tf.int32, [None, max_len], name="input_right_0") self.input_y_0 = tf.placeholder(tf.int32, [None, 2], name="input_y_0") self.input_task_0 = tf.placeholder(tf.int32, name="input_task_0") print("input_left", self.input_left_0.name) print("input_right", self.input_right_0.name) print("dropout_keep_prob", self.dropout_keep_prob.name) print ("input_y", self.input_y_0.name) print ("input_task", self.input_task_0.name) self.input_left_1 = tf.placeholder(tf.int32, [None, max_len], name="input_left_1") self.input_right_1 = tf.placeholder(tf.int32, [None, max_len], name="input_right_1") self.input_y_1 = tf.placeholder(tf.int32, [None, 2], name="input_y_1") self.input_task_1 = tf.placeholder(tf.int32, name="input_task_1") self.adv = adv self.word_vocab = word_vocab self.filter_sizes = filter_sizes self.num_filters = num_filters self.max_len = max_len self.num_hidden = num_hidden self.l2_reg_lambda = l2_reg_lambda self.learning_rate = learning_rate wordInitial = tf.constant(word_vocab.word_vecs) self.word_embed = tf.get_variable("word_embedding", trainable=False, initializer=wordInitial, dtype=tf.float32) self.shared_conv = ConvLayer(layer_name='conv_shared', filter_sizes=self.filter_sizes, num_filters=self.num_filters) self.shared_linear = LinearLayer('linear_shared', TASK_NUM, True) self.tensors = [] with tf.name_scope("task_0"): self.build_task_graph(task_label=self.input_task_0, labels=self.input_y_0, sentence_0=self.input_left_0, sentence_1=self.input_right_0) with tf.name_scope("task_1"): self.build_task_graph(task_label=self.input_task_1, labels=self.input_y_1, sentence_0=self.input_left_1, sentence_1=self.input_right_1) def build_task_graph(self, task_label, labels, sentence_0, sentence_1): sentence_0 = tf.nn.embedding_lookup(self.word_embed, sentence_0) sentence_1 = tf.nn.embedding_lookup(self.word_embed, sentence_1) sentence_0 = tf.nn.dropout(sentence_0, self.dropout_keep_prob) sentence_1 = tf.nn.dropout(sentence_1, self.dropout_keep_prob) ######## layer conv_layer = ConvLayer(layer_name='conv_task', filter_sizes=self.filter_sizes, num_filters=self.num_filters) ######## conv_out_0 = conv_layer(sentence_0) conv_out_0 = max_pool(conv_outs=conv_out_0, max_len=self.max_len, num_filters=self.num_filters) conv_out_1 = conv_layer(sentence_1) conv_out_1 = max_pool(conv_outs=conv_out_1, max_len=self.max_len, num_filters=self.num_filters) task_output = tf.concat(axis=1, values=[conv_out_0, conv_out_1], name='task_output') shared_out_0 = self.shared_conv(sentence_0) shared_out_0 = max_pool(conv_outs=shared_out_0, max_len=self.max_len, num_filters=self.num_filters) shared_out_1 = self.shared_conv(sentence_1) shared_out_1 = max_pool(conv_outs=shared_out_1, max_len=self.max_len, num_filters=self.num_filters) shared_output = tf.concat(axis=1, values=[shared_out_0, shared_out_1], name='shared_output') if self.adv: feature = tf.concat([task_output, shared_output], axis=1) else: feature = task_output feature = tf.nn.dropout(feature, self.dropout_keep_prob) # Map the features to 2 classes linear = LinearLayer('linear', 2, True) logits, loss_l2 = linear(feature) logits_prob = tf.nn.softmax(logits, name='prob') print ("logits_prob: ",logits_prob.name) xentropy = tf.nn.softmax_cross_entropy_with_logits( labels=labels, logits=logits) loss_ce = tf.reduce_mean(xentropy) loss_adv, loss_adv_l2 = self.adversarial_loss(shared_output, task_label, labels) loss_diff = self.diff_loss(shared_output, task_output) if self.adv: print ("Adv is True") loss = loss_ce + 0.05 * loss_adv + self.l2_reg_lambda * (loss_l2 + loss_adv_l2) + 0.01 * loss_diff else: print ("Adv is False") loss = loss_ce + self.l2_reg_lambda * loss_l2 pred = tf.argmax(logits, axis=1) labels_2 = tf.argmax(labels, axis=1) acc = tf.cast(tf.equal(pred, labels_2), tf.float32) acc = tf.reduce_mean(acc) self.tensors.append((acc, loss, loss_adv, loss_ce)) def adversarial_loss(self, feature, task_label, y_label): '''make the task classifier cannot reliably predict the task based on the shared feature ''' # input = tf.stop_gradient(input) feature = flip_gradient(feature) ## let adv_loss increasing feature = tf.nn.dropout(feature, self.dropout_keep_prob) # Map the features to TASK_NUM classes logits, loss_l2 = self.shared_linear(feature) label = tf.reshape(tf.one_hot(task_label, 2, axis=-1), shape=[1, 2]) medium = tf.slice(y_label, begin=[0, 0], size=[-1, 1]) label = tf.matmul(tf.fill(tf.shape(medium), 1.0), label) loss_adv = tf.reduce_mean( tf.nn.softmax_cross_entropy_with_logits(labels=label, logits=logits)) return loss_adv, loss_l2 def diff_loss(self, shared_feat, task_feat): '''Orthogonality Constraints from https://github.com/tensorflow/models, in directory research/domain_adaptation ''' task_feat -= tf.reduce_mean(task_feat, 0) # 按列求得平均 shared_feat -= tf.reduce_mean(shared_feat, 0) task_feat = tf.nn.l2_normalize(task_feat, 1) # 按行归一化 shared_feat = tf.nn.l2_normalize(shared_feat, 1) correlation_matrix = tf.matmul(task_feat, shared_feat, transpose_a=True) cost = tf.reduce_mean(tf.square(correlation_matrix)) * 0.01 cost = tf.where(cost > 0, cost, 0, name='value') assert_op = tf.Assert(tf.is_finite(cost), [cost]) with tf.control_dependencies([assert_op]): loss_diff = tf.identity(cost) return loss_diff # def build_train_op(self): # self.train_ops = [] # for _, loss, _ in self.tensors: # global_step = tf.Variable(0, name="global_step", trainable=False) # train_op = optimize(loss, # global_step, # self.learning_rate) # self.train_ops.append([train_op, global_step]) def build_train_op(self): self.train_ops = [] for _, loss, _, _ in self.tensors: train_op = optimize(loss, self.learning_rate) self.train_ops.append(train_op)

[ "you@example.com" ]

you@example.com

16928356a06c1cffc5c619e3e67d56b0eaf4414c

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/top_interview_questions/easy/linked_list/merge_two_sorted_lists.py

029cef4d6de1b99c91d8a393ac56ff86aff1ced9

[]

no_license

StefanRankovic/leetcode

51154d7297b4674c62e481c6c13016097207b4d0

bbed81b50acaef025186648c61110dbf65e5f6cb

refs/heads/master

2023-02-20T06:16:02.913457

2021-01-24T09:42:50

266,200,324

0

null

UTF-8

Python

false

623

py

# Definition for singly-linked list. # class ListNode: # def __init__(self, val=0, next=None): # self.val = val # self.next = next class Solution: def mergeTwoLists(self, l1: ListNode, l2: ListNode) -> ListNode: head = current = ListNode() while l1 and l2: if l1.val <= l2.val: current.next = l1 l1 = l1.next else: current.next = l2 l2 = l2.next current = current.next if l1: current.next = l1 else: current.next = l2 return head.next

[ "stefan.rankovic.89@gmail.com" ]

stefan.rankovic.89@gmail.com

624993d2163e8fe840c9d4e7291e4d17025c0920

e47afb9557d5143da9397faa9d63003ec7b84b0d

/4_5_List comprehension and generator expressions/Main.py

0f3bb1163ed1bf5569b3eda82ee2c2ab4e9b0f01

[]

no_license

Pavlo-Olshansky/Python_learns_1

feb12d6a258d98162844efec465343b7cfc14788

98d278198dca833887e456f09934a4b4c336bf40

refs/heads/master

2021-01-19T13:29:47.174180

2019-12-16T08:16:35

82,393,126

0

null

UTF-8

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886

py

xyz = [i for i in range(5)] print(xyz) xyz = (i for i in range(5)) # generator - it's in your memory now print(xyz) for i in xyz: print(i) # Generator's faster creating, but for working with them - it's longer print('-------- 5 ----------\n') input_list = [1, 5, 7, 10, 3, 20, 25, 12, 5] def div_by_five(num): if num % 5 == 0: return True else: return False xyz = (i for i in input_list if div_by_five(i)) # We sabing a memory, but it's slower [print(i) for i in xyz] xyz = [i for i in input_list if div_by_five(i)] # We don't sabing a memory, but it's faster [print(i, end=' ') for i in xyz] [[print(i, ii) for ii in range(3)] for i in range(3)] board = ([(i+1, ii+1) for ii in range(555)] for i in range(5)) # Generator with 2 loops - must iterate [print(i) for i in board] #like a board # [[print(ii) for ii in i] for i in board] # in line

[ "pavlo.olshansky@gmail.com" ]

pavlo.olshansky@gmail.com

e1480a36e4bd0529d505b4b9880353a5e348cd05

818c7b09d7e264c130a849f86dabaa3d43656870

/pycharm学习-基础篇/python模块/1.1时间模块.py

4938bf771a3a97e2f539239d9f336f6ae9b1c548

[]

no_license

rishinkaku/python_course

b89d51b38f64248e074ba66230353b1b335475ab

6a2f2c175c863776a0e1125a8359a8ea97b95456

refs/heads/master

2020-03-28T11:50:20.231058

2018-08-29T13:01:59

null

0

null

UTF-8

Python

false

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py

# 时间戮 import time print(time.time()) # 通常时间表示从1970年1月1日00：00：00开始以秒为单位，返回的是一个float型数据 print(type(time.time())) # 通常时间表示从1970年1月1日00：00：00开始以秒为单位，返回的是一个float型数据 print(time.clock()) # 函数以浮点数计算的秒数返回当前的CPU时间,用来衡量不同程序的耗时 ''' 符号简述 %a 本地简化的星期的名称 %A 本地完整的星期的名称 %b 本地简化的月份的名称 %B 本地完整的月份的名称 %c 本地相应的日期的表示和时间表示 %d 月内的一天(0-31) %H 24小时(0-23) %I 12小时(0-12) %J 年内的一天(1-365) %m 月份(1-12) %M 分钟(00-59) %s 秒(00-59) %y 两位数的年份表示(00-99) %Y 四位数的年份表示(00-9999) ''' ''' 元组（struct time）:共有9个属性索引属性值 0 tm_year(年) 2018 1 tm_mon(月) 1-12 2 tm_mday(日) 1-31 3 tm_hour(时) 0-23 4 tm_min(分钟) 0-59 5 tm_sec(秒) 0-61 ！ 6 tm_wday(星期) 0-6 ！ 7 tm_yday(时) 1-366 #一年中的第几天 8 tm_isdst(是否是夏令时)默认值为-1，结果1表示是，0表示否 ''' # 1.UTC(世界协调时):格林威治天文时间,世界的标准时间中国: UTC+8 # 1.localtime:获取当前时间的struct_time形式 print(time.localtime()) # 以元组为标准得到9个属性 #例如：time.struct_time(tm_year=2018, tm_mon=5, tm_mday=30, tm_hour=13, tm_min=44, tm_sec=27, tm_wday=2, tm_yday=150, tm_isdst=0) # 2.获取当天的时间 import datetime print(datetime.datetime.now()) # 当天详细时间 print(datetime.date.today()) # 当天时间 # step2：获取昨天的日期 def getTesterday(): today = datetime.date.today() # 获取当天时间 oneday = datetime.timedelta(days=1) # ays=1,表示时间跨度为1天 yesterday = today - oneday print(yesterday) return yesterday yesterday = getTesterday() print("昨天的时间为：", yesterday) # 3.转换时间和日期的格式 import time import datetime def strTodaytime(datestr,format): # datestr为对应时间 return datetime.datetime.strptime(datestr,format) # datetime.datetime.strptime函数 print(time.strftime("%y-%m-%d ",time.localtime())) # time.strftime表示格式转换,"%Y-%m-%d %H:%M:%S"格式见上面详细说明！！！ 18-05-30 print(time.strftime("%y-%m-%d %H:%M:%S", time.localtime())) # time.strftime表示格式转换,"%Y-%m-%d %H:%M:%S"格式见上面详细说明！！！ 18-05-30 14:13:36 print(time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())) # time.strftime表示格式转换,"%Y-%m-%d %H:%M:%S"格式见上面详细说明！！！ 2018-05-30 14:13:36 print(strTodaytime("2014-2-16", "%Y-%m-%d")) # 结果为2014-02-16 00:00:00 print('\n') # 4.获取日历相关的信息 import calendar # 获取个月的日历，返回字符串的类型 cal = calendar.month(2015, 12) # 获取2015年12月的日历 print(cal) # 获取一年的日历 cal = calendar.calendar(2018) print(cal) # 设置日历的第一天 calendar.setfirstweekday(calendar.SUNDAY) # 以星期天为第一列输出日历，当然默认是以星期一为第一天 cal = calendar.month(2015, 12) print(cal) # step2: 得到日历的HTML格式,当然这个一般是用不了的 cal = calendar.HTMLCalendar(calendar.MONDAY) print(cal.formatmonth(2015, 12))

[ "1677913969@qq.com" ]

1677913969@qq.com

368bcb43fae4cd5bd1b4080cb962bf41bf443ccd

ecb6b752523a126ef17895854b18e02df41c4cfe

/api_restful/user/api.py

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[ "MIT" ]

permissive

zhanghe06/bearing_project

cd6a1b2ba509392da37e5797a3619454ca464276

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refs/heads/master

2023-05-27T17:23:22.561045

2023-05-23T09:26:07

2023-05-23T09:39:14

126,219,603

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5

MIT

2022-12-08T03:11:27

2018-03-21T17:54:44

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UTF-8

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py

#!/usr/bin/env python # encoding: utf-8 """ @author: zhanghe @software: PyCharm @file: api.py @time: 2020-02-28 21:26 """ import datetime from api_restful.databases.bearing import db_bearing from app_common.maps.status_delete import STATUS_DEL_OK from api_restful.models.model_bearing import User from app_common.libs.mysql_orm_op import DbInstance db_instance = DbInstance(db_bearing) def get_user_row_by_id(user_id): """ 通过 id 获取信息 :param user_id: :return: None/object """ return db_instance.get_row_by_id(User, user_id) def get_user_row(*args, **kwargs): """ 获取信息 :param args: :param kwargs: :return: None/object """ return db_instance.get_row(User, *args, **kwargs) def get_user_rows(*args, **kwargs): """ 获取列表 :param args: :param kwargs: :return: """ return db_instance.get_rows(User, *args, **kwargs) def get_user_limit_rows_by_last_id(last_pk, limit_num, *args, **kwargs): """ 通过最后一个主键 id 获取最新信息列表 :param last_pk: :param limit_num: :param args: :param kwargs: :return: """ return db_instance.get_limit_rows_by_last_id(User, last_pk, limit_num, *args, **kwargs) def add_user(user_data): """ 添加信息 :param user_data: :return: None/Value of user.id :except: """ return db_instance.add(User, user_data) def edit_user(user_id, user_data): """ 修改信息 :param user_id: :param user_data: :return: Number of affected rows (Example: 0/1) :except: """ return db_instance.edit(User, user_id, user_data) def delete_user(user_id, force=False): """ 删除信息 :param user_id: :param force: :return: Number of affected rows (Example: 0/1) :except: """ if force: return db_instance.delete(User, user_id) else: data = { 'status_delete': STATUS_DEL_OK, 'delete_time': datetime.datetime.now() } if isinstance(user_id, list): return db_instance.update_rows(User, data, User.id.in_(user_id)) else: return db_instance.edit(User, user_id, data) def get_user_pagination(page=1, size=10, *args, **kwargs): """ 获取列表（分页） Usage: items: 信息列表 has_next: 如果本页之后还有超过一个分页，则返回True has_prev: 如果本页之前还有超过一个分页，则返回True next_num: 返回下一页的页码 prev_num: 返回上一页的页码 iter_pages(): 页码列表 iter_pages(left_edge=2, left_current=2, right_current=5, right_edge=2) 页码列表默认参数 :param page: :param size: :param args: :param kwargs: :return: """ rows = db_instance.get_pagination(User, page, size, *args, **kwargs) return rows def delete_user_table(): """ 清空表 :return: """ return db_instance.delete_table(User) def count_user(*args, **kwargs): """ 计数 :param args: :param kwargs: :return: """ return db_instance.count(User, *args, **kwargs)

[ "zhang_he06@163.com" ]

zhang_he06@163.com

cb4beb5018f9938b6d550942065e3d19aee69687

8fa162cddb2046cb47f3a06c72743ed67685d03a

/dvc/dependency/__init__.py

50222f02926bcad6b80fa0a1227b00b7b0ee84f1

[ "Apache-2.0" ]

permissive

franekp/dvc

be9c123f03b77daa39781bd7e62fa25b9fae449f

e380a4a8586da643bf4e0d2281b13aee0d5e5207

refs/heads/master

2020-03-19T18:35:47.416381

2018-06-10T14:35:49

136,816,230

0

Apache-2.0

2018-06-10T14:32:53

2018-06-10T14:32:52

null

UTF-8

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1,817

py

import schema try: from urlparse import urlparse except ImportError: from urllib.parse import urlparse from dvc.exceptions import DvcException from dvc.config import Config from dvc.dependency.base import DependencyBase from dvc.dependency.s3 import DependencyS3 from dvc.dependency.gs import DependencyGS from dvc.dependency.local import DependencyLOCAL from dvc.dependency.hdfs import DependencyHDFS from dvc.remote import Remote from dvc.remote.local import RemoteLOCAL from dvc.remote.s3 import RemoteS3 from dvc.remote.gs import RemoteGS from dvc.remote.ssh import RemoteSSH from dvc.remote.hdfs import RemoteHDFS DEPS = [DependencyHDFS, DependencyS3, DependencyGS, DependencyLOCAL] DEP_MAP = {'': DependencyLOCAL, 's3': DependencyS3, 'gs': DependencyGS, 'hdfs': DependencyHDFS,} SCHEMA = { DependencyBase.PARAM_PATH: str, schema.Optional(RemoteLOCAL.PARAM_MD5): schema.Or(str, None), schema.Optional(RemoteS3.PARAM_ETAG): schema.Or(str, None), schema.Optional(RemoteHDFS.PARAM_CHECKSUM): schema.Or(str, None), } def _get(stage, p, info): parsed = urlparse(p) if parsed.scheme == 'remote': sect = stage.project.config._config[Config.SECTION_REMOTE_FMT.format(parsed.netloc)] remote = Remote(stage.project, sect) return DEP_MAP[remote.scheme](stage, p, info, remote=remote) for d in DEPS: if d.supported(p): return d(stage, p, info) raise DvcException('Dependency \'{}\' is not supported'.format(p)) def loadd_from(stage, d_list): ret = [] for d in d_list: p = d.pop(DependencyBase.PARAM_PATH) ret.append(_get(stage, p, d)) return ret def loads_from(stage, s_list): ret = [] for s in s_list: ret.append(_get(stage, s, {})) return ret

[ "kupruser@gmail.com" ]

kupruser@gmail.com

ada4e614cc5df9247d515e08a82694f458afec8b

4d0cf37d15fda02881c5b8dcdb1f0076bb31c778

/lifelike/utils.py

333c2bc8c859c626173cd738f634a22aa3c49bef

[ "MIT" ]

permissive

sudoentropy/lifelike

b53d70e666d94fdd266ea3567aa9291baf42efdf

2af3a9d25e777f67648f772f805ee66d6982bab0

refs/heads/master

2023-01-19T05:28:35.152335

2020-11-15T02:48:30

290,666,687

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MIT

2020-08-27T03:33:52

2020-08-27T03:33:51

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UTF-8

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py

from functools import wraps import cloudpickle as pickle def must_be_compiled_first(function): @wraps(function) def f(self, *args, **kwargs): if not self.is_compiled: raise ValueError( "You must run .compile first on the model before using this method." ) return function(self, *args, **kwargs) return f def dump(model, filepath): """filepath is a string""" with open(filepath, "wb") as f: pickle.dump(model, f) def load(filepath): """filepath is a string""" with open(filepath, "rb") as f: return pickle.load(f)

[ "cam.davidson.pilon@gmail.com" ]

cam.davidson.pilon@gmail.com

256e9f2acc7001d59650a9633bf384d5377f1b05

66b82b6b95dd4eb85f037ed8c70a9dc0cccc16e4

/app/view_models/book.py

91e719be3070dc400a9b4ce0fd4a227e56128885

[]

no_license

jpch89/fishbook

6c359b5efec88cbb414b72504a9131f924fe5f60

97db589046b9d59107033fa0ba9c071e63b6fcc0

refs/heads/master

2022-12-10T17:39:45.835372

2019-03-07T08:53:13

144,078,892

0

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UTF-8

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py

# -*- coding: utf-8 -*- # @Author: jpch89 # @Time: 2018/8/14 22:44 class BookViewModel: def __init__(self, book): self.title = book['title'] self.publisher = book['publisher'] self.author = '、'.join(book['author']) self.image = book['image'] self.price = book['price'] self.summary = book['summary'] self.isbn = book['isbn'] self.pages = book['pages'] self.pubdate = book['pubdate'] self.binding = book['binding'] @property def intro(self): intros = filter(lambda x: True if x else False, [self.author, self.publisher, self.price]) return ' / '.join(intros) class BookCollection: def __init__(self): self.total = 0 self.books = [] self.keyword = '' def fill(self, yushu_book, keyword): self.total = yushu_book.total self.keyword = keyword self.books = [BookViewModel(book) for book in yushu_book.books] class _BookViewModel: @classmethod def package_single(cls, data, keyword): returned = { 'books': [], 'total': 0, 'keyword': keyword } if data: returned['total'] = 1 returned['books'] = [cls.__cut_book_data(data)] return returned @classmethod def package_collection(cls, data, keyword): returned = { 'books': [], 'total': 0, 'keyword': keyword } if data: returned['total'] = data['total'] returned['books'] = [cls.__cut_book_data(book) for book in data['books']] return returned @classmethod def __cut_book_data(cls, data): book = { 'title': data['title'], 'publisher': data['publisher'], 'pages': data['pages'] or '', 'author': '、'.join(data['author']), 'price': data['price'], 'summary': data['summary'] or '', 'image': data['image'] } return book

[ "jpch89@outlook.com" ]

jpch89@outlook.com

ea316e15a1e1e0ff59fbe6cb5228abfa0b24ffb3

1e013dc5f0de0f61e27f2867557803a01c01f4da

/Language/python/grammer/decorator/6_func_impl.py

63f6ff403a1a6df4d392df63c3735e914233c4a4

[]

no_license

chengyi818/kata

a2941ce8675c6e7a47169a0eae4c757d3f6f5bf9

a7cb7ad499037bcc168aaa0eaba857b33c04ef14

refs/heads/master

2023-04-10T18:39:09.518433

2023-01-08T15:22:12

53,040,540

1

0

null

2023-03-25T00:46:51

2016-03-03T10:06:58

C++

UTF-8

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554

py

#!/usr/bin/env python3 # Author: ChengYi # Mail: chengyi818@foxmail.cn # created time: Thu 21 Sep 2017 10:29:02 AM CST def make_bold(func): print('Initialize') def wrapper(): print('Call') return '<b>{}</b>'.format(func()) return wrapper def get_content(): return "hello world" @make_bold def get_content2(): return "hello world" if __name__ == "__main__": get_content = make_bold(get_content) print(type(get_content)) print(get_content()) print(get_content2()) print(type(get_content2))

[ "chengyi818@foxmail.com" ]

chengyi818@foxmail.com

16529f3d07c226ff0580848d78c9cdaa4cb386d7

c5222000bf859009850452ec7bcf1533f7bf59f7

/color_picker.py

441acc9eaccbd29186422b5dc395c9f72cf5debc

[]

no_license

nss-day-cohort-25/07-06-orientation-classes

38b016995c0a6273268d07104c0db2124383592a

9ed6046550e7b5254f8237efab47a057b74c94de

refs/heads/master

2020-03-22T14:52:01.360486

2018-07-09T17:31:10

140,211,391

0

null

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283

py

class ColorPicker(): def __init__(self, primary_color, **kwargs): self.primary_color = primary_color for key, value in kwargs.items(): setattr(self, key + "_color", value) def get_colors(self): return {k: v for k, v in self.__dict__.items() if 'color' in k}

[ "joeshepmedia@gmail.com" ]

joeshepmedia@gmail.com

775999792fcec355ac984e6f1f97f26fbf4e854b

7950c4faf15ec1dc217391d839ddc21efd174ede

/leetcode-cn/2038.0_Remove_Colored_Pieces_if_Both_Neighbors_are_the_Same_Color.py

aa42c48cf130143120865f6675418d6da1b8c5b4

[]

no_license

lixiang2017/leetcode

f462ecd269c7157aa4f5854f8c1da97ca5375e39

f93380721b8383817fe2b0d728deca1321c9ef45

refs/heads/master

2023-08-25T02:56:58.918792

2023-08-22T16:43:36

153,090,613

5

0

null

UTF-8

Python

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3,461

py

''' T: O(N) S: O(1) 执行用时：112 ms, 在所有 Python3 提交中击败了98.98% 的用户内存消耗：15.6 MB, 在所有 Python3 提交中击败了28.57% 的用户通过测试用例：83 / 83 ''' class Solution: def winnerOfGame(self, colors: str) -> bool: a, b, pre = 0, 0, None part_a = part_b = 0 for ch in colors: if ch == pre: if ch == 'A': part_a += 1 else: part_b += 1 else: if ch == 'A': if part_b >= 3: b += part_b - 2 pre = 'A' part_a = 1 else: if part_a >= 3: a += part_a - 2 pre = 'B' part_b = 1 # do not forget last part!!! if pre == 'A' and part_a >= 3: a += part_a - 2 if pre == 'B' and part_b >= 3: b += part_b - 2 return a > b ''' T: O(N) S: O(1) 执行用时：220 ms, 在所有 Python3 提交中击败了52.04% 的用户内存消耗：15.5 MB, 在所有 Python3 提交中击败了55.10% 的用户通过测试用例：83 / 83 ''' class Solution: def winnerOfGame(self, colors: str) -> bool: a = b = 0 n = len(colors) for i in range(n - 2): # n-3 +2 # i, i + 1, i + 2 part = colors[i: i + 3] if part == "AAA": a += 1 elif part == "BBB": b += 1 return a > b ''' 执行用时：240 ms, 在所有 Python3 提交中击败了47.96% 的用户内存消耗：15.5 MB, 在所有 Python3 提交中击败了45.92% 的用户通过测试用例：83 / 83 ''' class Solution: def winnerOfGame(self, colors: str) -> bool: a = b = 0 n, c = len(colors), colors for i in range(n - 2): # n-3 +2 # i, i + 1, i + 2 if c[i] == 'A' and c[i + 1] == 'A' and c[i + 2] == 'A': a += 1 elif c[i] == 'B' and c[i + 1] == 'B' and c[i + 2] == 'B': b += 1 return a > b ''' DP, T: O(N), S: O(1) 执行用时：336 ms, 在所有 Python3 提交中击败了23.47% 的用户内存消耗：15.6 MB, 在所有 Python3 提交中击败了36.74% 的用户通过测试用例：83 / 83 ''' class Solution: def winnerOfGame(self, colors: str) -> bool: # a b freq = [0, 0] move = [0, 0] c = 'C' for ch in colors: if ch != c: c = ch freq[ord(ch) - ord('A')] = 1 else: freq[ord(ch) - ord('A')] += 1 if freq[ord(ch) - ord('A')] >= 3: move[ord(ch) - ord('A')] += 1 return move[0] > move[1] ''' DP, T: O(N), S: O(1) 执行用时：164 ms, 在所有 Python3 提交中击败了78.57% 的用户内存消耗：15.6 MB, 在所有 Python3 提交中击败了31.63% 的用户通过测试用例：83 / 83 ''' class Solution: def winnerOfGame(self, colors: str) -> bool: # a b move = [0, 0] c, cnt = 'C', 0 for ch in colors: if ch != c: c = ch cnt = 1 else: cnt += 1 if cnt >= 3: move[ord(ch) - ord('A')] += 1 return move[0] > move[1]

[ "laoxing201314@outlook.com" ]

laoxing201314@outlook.com

bf375adb961dbcf915e1628a1b202e385aba4351

d554b1aa8b70fddf81da8988b4aaa43788fede88

/5 - Notebooks e Data/1 - Análises numéricas/Arquivos David/Atualizados/logDicas-master/data/2019-1/226/users/4422/codes/1585_842.py

db14692d52f1f0a69e0aaedd361b0687c76c6431

[]

no_license

JosephLevinthal/Research-projects

a3bc3ca3b09faad16f5cce5949a2279cf14742ba

60d5fd6eb864a5181f4321e7a992812f3c2139f9

refs/heads/master

2022-07-31T06:43:02.686109

2020-05-23T00:24:26

266,199,309

1

0

null

UTF-8

Python

false

230

py

# Teste seu codigo aos poucos. # Nao teste tudo no final, pois fica mais dificil de identificar erros. # Nao se intimide com as mensagens de erro. Elas ajudam a corrigir seu codigo. x = int(input("Digite um numero: ")) print(x)

[ "jvlo@icomp.ufam.edu.br" ]

jvlo@icomp.ufam.edu.br

1a4bf86142afa60772834ed02506ed40060db509

0b9e884be78ecc22a44a94e2c1cabefd637b9ed0

/Python_Talk/mpt-master/ch14/live_price.py

04c8d8d261bcbee41454ee1c2b57b439f4d9d005

[]

no_license

marcovnyc/penguin-code

6ba3faa5f21186918e2d08f5a0fcacebb2697e56

a0c1f91219ff74a8bb8e9fd3375b03b667056b54

refs/heads/master

2021-12-22T15:04:26.002512

2021-12-16T04:01:40

7,264,458

0

null

UTF-8

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533

py

from yahoo_fin import stock_info as si # Start an infinite loop while True: # Obtain ticker symbol from you ticker = input("What's the ticker symbol of the stock you are looking for?\n") # If you want to stop, type in "done" if ticker == "done": break # Otherwise, type in a stock ticker symbol else: # Obtain live stock price from Yahoo price = si.get_live_price(ticker) # Print out the stock price print(f"The stock price for {ticker} is {price}.")

[ "penguin@penguin.com" ]

penguin@penguin.com

d6dff94c7a3c17100e31444270570019c51afe06

611ffe1973f843626000e2320c1d425cdf0995ca

/lib/modules/synthesis_decoder.py

cddd9d53ae22e5c5bcb03badb09275f99bd209cc

[]

no_license

kapitsa2811/Text2Scene

f5b1ff803329a68f9035420481db651e5fb0cf54

f471771cb8e6f8e1e27296f2c535b84fa27a79ed

refs/heads/master

2020-06-11T03:07:09.853489

2019-06-19T05:19:53

null

0

null

UTF-8

Python

false

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#!/usr/bin/env python import math, cv2 import numpy as np import torch import torch.nn as nn from torchvision import models from modules.separable_convolution import same_padding_size # from modules.bilinear_downsample import BilinearDownsample import torch.nn.functional as F from modules.separable_convolution import separable_conv2d class SynthesisDecoder(nn.Module): def __init__(self, config): super(SynthesisDecoder, self).__init__() self.cfg = config h, w = config.output_image_size if config.use_color_volume: in_channels = 3 * config.output_vocab_size else: in_channels = config.output_vocab_size + 4 self.block6 = nn.Sequential(self.make_layers(512 + in_channels, [512, 512], config.use_normalization, [h//64, w//64])) self.block5 = nn.Sequential(self.make_layers(512 + 512 + in_channels, [512, 512], config.use_normalization, [h//32, w//32])) self.block4 = nn.Sequential(self.make_layers(512 + 512 + in_channels, [512, 512], config.use_normalization, [h//16, w//16])) self.block3 = nn.Sequential(self.make_layers(512 + 256 + in_channels, [512, 512], config.use_normalization, [h//8, w//8])) self.block2 = nn.Sequential(self.make_layers(512 + 256 + in_channels, [512, 512], config.use_normalization, [h//4, w//4])) self.block1 = nn.Sequential(self.make_layers(512 + 256 + in_channels, [256, 256], config.use_normalization, [h//2, w//2])) self.block0 = nn.Sequential(self.make_layers(256 + in_channels, [256, 256], config.use_normalization, [h, w])) # self.block_up = nn.Sequential(self.make_layers(256 + in_channels, [128, 128], config.use_normalization, [2*h, 2*w])) if self.cfg.use_separable_convolution: conv2d = separable_conv2d else: conv2d = nn.Conv2d self.imaging = conv2d(256, 3, 1) self.labeling = conv2d(256, config.output_vocab_size, 1) def make_layers(self, inplace, places, use_layer_norm=False, resolution=None): if self.cfg.use_separable_convolution: conv2d = separable_conv2d else: conv2d = nn.Conv2d layers = [] in_channels = inplace for v in places: if use_layer_norm: current_conv2d = conv2d(in_channels, v, kernel_size=3, padding=1, bias=False) current_lnorm = nn.LayerNorm([v, resolution[0], resolution[1]]) layers.extend([current_conv2d, current_lnorm]) else: current_conv2d = conv2d(in_channels, v, kernel_size=3, padding=1, bias=True) layers.append(current_conv2d) layers.append(nn.LeakyReLU(0.2, inplace=True)) in_channels = v return nn.Sequential(*layers) def forward(self, inputs): h, w = self.cfg.output_image_size xx, x1, x2, x3, x4, x5, x6 = inputs xx_d6 = F.interpolate(xx, size=[h//64, w//64], mode='bilinear', align_corners=True) x = torch.cat([xx_d6, x6], dim=1) x = self.block6(x) x = F.interpolate(x, scale_factor=2, mode='bilinear', align_corners=True) xx_d5 = F.interpolate(xx, size=[h//32, w//32], mode='bilinear', align_corners=True) x = torch.cat([xx_d5, x5, x], dim=1) x = self.block5(x) x = F.interpolate(x, scale_factor=2, mode='bilinear', align_corners=True) xx_d4 = F.interpolate(xx, size=[h//16, w//16], mode='bilinear', align_corners=True) x = torch.cat([xx_d4, x4, x], dim=1) x = self.block4(x) x = F.interpolate(x, scale_factor=2, mode='bilinear', align_corners=True) xx_d3 = F.interpolate(xx, size=[h//8, w//8], mode='bilinear', align_corners=True) x = torch.cat([xx_d3, x3, x], dim=1) x = self.block3(x) x = F.interpolate(x, scale_factor=2, mode='bilinear', align_corners=True) xx_d2 = F.interpolate(xx, size=[h//4, w//4], mode='bilinear', align_corners=True) x = torch.cat([xx_d2, x2, x], dim=1) x = self.block2(x) x = F.interpolate(x, scale_factor=2, mode='bilinear', align_corners=True) xx_d1 = F.interpolate(xx, size=[h//2, w//2], mode='bilinear', align_corners=True) x = torch.cat([xx_d1, x1, x], dim=1) x = self.block1(x) x = F.interpolate(x, scale_factor=2, mode='bilinear', align_corners=True) # x = torch.cat([x0, x], dim=1) # x = self.block0(x) # x = F.interpolate(x, scale_factor=2, mode='bilinear', align_corners=True) xx_d0 = xx #F.interpolate(xx, size=[h, w], mode='bilinear', align_corners=True) x = torch.cat([xx_d0, x], dim=1) x = self.block0(x) image = self.imaging(x) label = self.labeling(x) image = 255.0*(image+1.0)/2.0 return image, label

[ "fuwen.tan@gmail.com" ]

fuwen.tan@gmail.com

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Cvalladares/Newsblur_Instrumented

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refs/heads/master

2022-12-29T15:19:29.726455

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#!/srv/newsblur/venv/newsblur/bin/python import os import json import urllib import urllib2 from vendor.munin import MuninPlugin class HookboxPlugin(MuninPlugin): title = 'hookbox' args = "--base 1000" vlabel = "Y" info = "Subscibed users" scale = False def get_channels(self): return os.environ.get('HOOKBOX_CHANNELS', '').split(',') def get_url(self): return os.environ.get('HOOKBOX_URL', 'http://localhost:8001/rest') def get_secret(self): return os.environ.get('HOOKBOX_SECRET', '') @property def fields(self): return ( (channel, dict( label=channel, info="%s - users" % channel, type="GAUGE", )) for channel in self.get_channels() ) def get_channel_info(self, channel_name): values = { 'channel_name': channel_name, 'secret': self.get_secret(), } req = urllib2.Request("%s/get_channel_info?%s" % (self.get_url(), urllib.urlencode(values))) resp = urllib2.urlopen(req) return json.loads(resp.read()) def get_subscribers(self, channel_name): try: return len(self.get_channel_info(channel_name)[1]['subscribers']) except (urllib2.URLError, KeyError), e: return 'U' def execute(self): return dict( (channel_name, self.get_subscribers(channel_name)) for channel_name in self.get_channels() ) if __name__ == "__main__": HookboxPlugin().run()

[ "Cvalladares4837@gmail.com" ]

Cvalladares4837@gmail.com

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/leetcode/111. 二叉树的最小深度.py

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refs/heads/master

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class TreeNode: def __init__(self, x): self.val = x self.left = None self.right = None class Solution: def minDepth(self, root: TreeNode) -> int: if not root: return 0 elif root.left is None and root.right is None: return 1 else: depth=10**9 if root.left: depth=min(self.minDepth(root.left),depth) if root.right: depth=min(self.minDepth(root.right),depth) return depth+1

[ "xuhao2018@foxmail.com" ]

xuhao2018@foxmail.com

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/.history/abel-network-files/metis_transf_20180709120220.py

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McKenzie-Lamb/Gerrymandering

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refs/heads/master

2021-01-25T06:06:43.824339

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# Author: Abel Gonzalez # Date: 06/26/18 # # Description: # This program uses the .shp file to create a network graph where each node # represents a census tract and the edge represents adjacency between each # tract, usign graph-tool instead of networkx import graph_tool.all as gt import metis from pathlib import Path # Paths main_folder = Path("abel-network-files/") data_folder = Path("abel-network-files/data/") images_folder = Path("abel-network-files/images/") # Loading the previous created Graph and creating the prop maps graph = gt.load_graph(str(data_folder / "tmp_graph100.gt")) name = graph.new_vertex_property('string') adjlist = [] nodew = [] for i in graph.vertices(): neighbors = tuple([j for j in i.all_neighbors()]) adjlist.append(neighbors) #print(graph.vp.data[i]['PERSONS']) nodew.append(graph.vp.data[i]['PERSONS']) metis_graph = metis.adjlist_to_metis(adjlist, nodew=nodew) objval, parts = metis.part_graph(metis_graph, nparts=4) for i range(len(parts)): name[graph.vertex(i)] = parts[i] gt.draw_graph(graph, vertex_text=name)

[ "gonzaleza@ripon.edu" ]

gonzaleza@ripon.edu

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crowdbotics-apps/shah-rukh-2-dev-16118

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""" Django settings for shah_rukh_2_dev_16118 project. Generated by 'django-admin startproject' using Django 2.2.2. For more information on this file, see https://docs.djangoproject.com/en/2.2/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/2.2/ref/settings/ """ import os import environ import logging env = environ.Env() # SECURITY WARNING: don't run with debug turned on in production! DEBUG = env.bool("DEBUG", default=False) # Build paths inside the project like this: os.path.join(BASE_DIR, ...) BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) # Quick-start development settings - unsuitable for production # See https://docs.djangoproject.com/en/2.2/howto/deployment/checklist/ # SECURITY WARNING: keep the secret key used in production secret! SECRET_KEY = env.str("SECRET_KEY") ALLOWED_HOSTS = env.list("HOST", default=["*"]) SITE_ID = 1 SECURE_PROXY_SSL_HEADER = ("HTTP_X_FORWARDED_PROTO", "https") SECURE_SSL_REDIRECT = env.bool("SECURE_REDIRECT", default=False) # Application definition INSTALLED_APPS = [ 'django.contrib.admin', 'django.contrib.auth', 'django.contrib.contenttypes', 'django.contrib.sessions', 'django.contrib.messages', 'django.contrib.staticfiles', 'django.contrib.sites' ] LOCAL_APPS = [ 'home', 'users.apps.UsersConfig', ] THIRD_PARTY_APPS = [ 'rest_framework', 'rest_framework.authtoken', 'rest_auth', 'rest_auth.registration', 'bootstrap4', 'allauth', 'allauth.account', 'allauth.socialaccount', 'allauth.socialaccount.providers.google', 'django_extensions', 'drf_yasg', 'storages', # start fcm_django push notifications 'fcm_django', # end fcm_django push notifications ] INSTALLED_APPS += LOCAL_APPS + THIRD_PARTY_APPS MIDDLEWARE = [ 'django.middleware.security.SecurityMiddleware', 'django.contrib.sessions.middleware.SessionMiddleware', 'django.middleware.common.CommonMiddleware', 'django.middleware.csrf.CsrfViewMiddleware', 'django.contrib.auth.middleware.AuthenticationMiddleware', 'django.contrib.messages.middleware.MessageMiddleware', 'django.middleware.clickjacking.XFrameOptionsMiddleware', ] ROOT_URLCONF = 'shah_rukh_2_dev_16118.urls' TEMPLATES = [ { 'BACKEND': 'django.template.backends.django.DjangoTemplates', 'DIRS': [], 'APP_DIRS': True, 'OPTIONS': { 'context_processors': [ 'django.template.context_processors.debug', 'django.template.context_processors.request', 'django.contrib.auth.context_processors.auth', 'django.contrib.messages.context_processors.messages', ], }, }, ] WSGI_APPLICATION = 'shah_rukh_2_dev_16118.wsgi.application' # Database # https://docs.djangoproject.com/en/2.2/ref/settings/#databases DATABASES = { 'default': { 'ENGINE': 'django.db.backends.sqlite3', 'NAME': os.path.join(BASE_DIR, 'db.sqlite3'), } } if env.str("DATABASE_URL", default=None): DATABASES = { 'default': env.db() } # Password validation # https://docs.djangoproject.com/en/2.2/ref/settings/#auth-password-validators AUTH_PASSWORD_VALIDATORS = [ { 'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator', }, { 'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator', }, { 'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator', }, { 'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator', }, ] # Internationalization # https://docs.djangoproject.com/en/2.2/topics/i18n/ LANGUAGE_CODE = 'en-us' TIME_ZONE = 'UTC' USE_I18N = True USE_L10N = True USE_TZ = True # Static files (CSS, JavaScript, Images) # https://docs.djangoproject.com/en/2.2/howto/static-files/ STATIC_URL = '/static/' MIDDLEWARE += ['whitenoise.middleware.WhiteNoiseMiddleware'] AUTHENTICATION_BACKENDS = ( 'django.contrib.auth.backends.ModelBackend', 'allauth.account.auth_backends.AuthenticationBackend' ) STATIC_ROOT = os.path.join(BASE_DIR, "staticfiles") STATICFILES_DIRS = [os.path.join(BASE_DIR, 'static')] STATICFILES_STORAGE = 'whitenoise.storage.CompressedManifestStaticFilesStorage' # allauth / users ACCOUNT_EMAIL_REQUIRED = True ACCOUNT_AUTHENTICATION_METHOD = 'email' ACCOUNT_USERNAME_REQUIRED = False ACCOUNT_EMAIL_VERIFICATION = "optional" ACCOUNT_CONFIRM_EMAIL_ON_GET = True ACCOUNT_LOGIN_ON_EMAIL_CONFIRMATION = True ACCOUNT_UNIQUE_EMAIL = True LOGIN_REDIRECT_URL = "users:redirect" ACCOUNT_ADAPTER = "users.adapters.AccountAdapter" SOCIALACCOUNT_ADAPTER = "users.adapters.SocialAccountAdapter" ACCOUNT_ALLOW_REGISTRATION = env.bool("ACCOUNT_ALLOW_REGISTRATION", True) SOCIALACCOUNT_ALLOW_REGISTRATION = env.bool("SOCIALACCOUNT_ALLOW_REGISTRATION", True) REST_AUTH_SERIALIZERS = { # Replace password reset serializer to fix 500 error "PASSWORD_RESET_SERIALIZER": "home.api.v1.serializers.PasswordSerializer", } REST_AUTH_REGISTER_SERIALIZERS = { # Use custom serializer that has no username and matches web signup "REGISTER_SERIALIZER": "home.api.v1.serializers.SignupSerializer", } # Custom user model AUTH_USER_MODEL = "users.User" EMAIL_HOST = env.str("EMAIL_HOST", "smtp.sendgrid.net") EMAIL_HOST_USER = env.str("SENDGRID_USERNAME", "") EMAIL_HOST_PASSWORD = env.str("SENDGRID_PASSWORD", "") EMAIL_PORT = 587 EMAIL_USE_TLS = True # AWS S3 config AWS_ACCESS_KEY_ID = env.str("AWS_ACCESS_KEY_ID", "") AWS_SECRET_ACCESS_KEY = env.str("AWS_SECRET_ACCESS_KEY", "") AWS_STORAGE_BUCKET_NAME = env.str("AWS_STORAGE_BUCKET_NAME", "") AWS_STORAGE_REGION = env.str("AWS_STORAGE_REGION", "") USE_S3 = ( AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY and AWS_STORAGE_BUCKET_NAME and AWS_STORAGE_REGION ) if USE_S3: AWS_S3_CUSTOM_DOMAIN = env.str("AWS_S3_CUSTOM_DOMAIN", "") AWS_S3_OBJECT_PARAMETERS = {"CacheControl": "max-age=86400"} AWS_DEFAULT_ACL = env.str("AWS_DEFAULT_ACL", "public-read") AWS_MEDIA_LOCATION = env.str("AWS_MEDIA_LOCATION", "media") AWS_AUTO_CREATE_BUCKET = env.bool("AWS_AUTO_CREATE_BUCKET", True) DEFAULT_FILE_STORAGE = env.str( "DEFAULT_FILE_STORAGE", "home.storage_backends.MediaStorage" ) MEDIA_URL = '/mediafiles/' MEDIA_ROOT = os.path.join(BASE_DIR, 'mediafiles') # start fcm_django push notifications FCM_DJANGO_SETTINGS = { "FCM_SERVER_KEY": env.str("FCM_SERVER_KEY", "") } # end fcm_django push notifications # Swagger settings for api docs SWAGGER_SETTINGS = { "DEFAULT_INFO": f"{ROOT_URLCONF}.api_info", } if DEBUG or not (EMAIL_HOST_USER and EMAIL_HOST_PASSWORD): # output email to console instead of sending if not DEBUG: logging.warning("You should setup `SENDGRID_USERNAME` and `SENDGRID_PASSWORD` env vars to send emails.") EMAIL_BACKEND = "django.core.mail.backends.console.EmailBackend"

[ "team@crowdbotics.com" ]

team@crowdbotics.com

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LCBRU/lcbru-events

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refs/heads/master

2021-06-06T19:42:43.750497

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from flask import render_template from lcbru_events import app @app.route('/') def index(): return render_template('index.html')

[ "rabramley@gmail.com" ]

rabramley@gmail.com

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/examples/timeline.py

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ammunk/cassiopeia

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2020-04-12T23:19:13.401624

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import cassiopeia as cass from cassiopeia import Summoner def print_newest_match(name: str, account: int, id: int, region: str): summoner = Summoner(name=name, account=account, id=id, region=region) match_history = summoner.match_history match = match_history[0] print('Match ID:', match.id) print(match.timeline.frame_interval) if __name__ == "__main__": print_newest_match(name="Kalturi", account=34718348, id=21359666, region="NA")

[ "jjmaldonis@gmail.com" ]

jjmaldonis@gmail.com

d69062af5e4d244aba9c8bd7406683449558f838

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lukassnoek/ICON2017

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""" This script downloads the data for the ICON2017 MVPA workshop from Surfdrive (a data storage repository/drive from the Dutch institute for IT in science/academia) using cURL, which should be cross-platform. """ from __future__ import print_function import subprocess import os import zipfile import os.path as op import platform cmd = "where" if platform.system() == "Windows" else "which" with open(os.devnull, 'w') as devnull: res = subprocess.call([cmd, 'curl'], stdout=devnull) if res != 0: raise OSError("The program 'curl' was not found on your computer! " "Either install it or download the data from surfdrive " " (link on website)") this_dir = op.dirname(op.realpath(__file__)) dst_dir = op.join(this_dir, 'data') if not op.isdir(dst_dir): os.makedirs(dst_dir) data_file = 'https://surfdrive.surf.nl/files/index.php/s/Iv5tNOAMZTJ0WiS/download' dst_file = op.join(dst_dir, 'data.zip') if not op.isfile(dst_file): print("Downloading the data ...\n") cmd = "curl -o %s %s" % (dst_file, data_file) return_code = subprocess.call(cmd, shell=True) print("\nDone!") print("Unzipping ...", end='') zip_ref = zipfile.ZipFile(dst_file, 'r') zip_ref.extractall(dst_dir) zip_ref.close() print(" done!") os.remove(dst_file) else: print("Data is already downloaded and located at %s" % dst_file)

[ "lukassnoek@gmail.com" ]

lukassnoek@gmail.com

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d-matsui/atcorder

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#!/usr/bin/env python3 from pprint import pprint from collections import deque, defaultdict import itertools import math import sys sys.setrecursionlimit(10 ** 6) INF = float('inf') N, M, K = map(int, input().split()) edges = [] for _ in range(M): u, v, w = map(int, input().split()) edges.append([u-1, v-1, w]) def unite(u, v): root_u = root(u) root_v = root(v) if root_u == root_v: return # assume size(root_u) >= size(root_v) if size(root_u) < size(root_v): root_u, root_v = root_v, root_u parents[root_u] -= size(root_v) parents[root_v] = root_u def has_same_root(u, v): return root(u) == root(v) def root(v): if parents[v] < 0: return v parents[v] = root(parents[v]) return parents[v] def size(v): return -parents[root(v)] # Kruskal's algorithm # 閉路を作らないようにしつつ、辺のコストが小さいものから順に選んでいく # ある辺 e をグラフに追加したときに閉路を作るかどうかは、Union Find で判定できる parents = [-1] * N res = 0 count = 0 for u, v, w in sorted(edges, key=lambda e: e[2]): if count == N - K: break if has_same_root(u, v): continue res += w count += 1 unite(u, v) print(res)

[ "mti.daiki@gmail.com" ]

mti.daiki@gmail.com

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# coding: utf-8 """ Sage Business Cloud Accounting - Accounts Documentation of the Sage Business Cloud Accounting API. # noqa: E501 The version of the OpenAPI document: 3.1 Generated by: https://openapi-generator.tech """ from __future__ import absolute_import import unittest import datetime import openapi_client from openapi_client.models.post_business_exchange_rates_business_exchange_rate import PostBusinessExchangeRatesBusinessExchangeRate # noqa: E501 from openapi_client.rest import ApiException class TestPostBusinessExchangeRatesBusinessExchangeRate(unittest.TestCase): """PostBusinessExchangeRatesBusinessExchangeRate unit test stubs""" def setUp(self): pass def tearDown(self): pass def make_instance(self, include_optional): """Test PostBusinessExchangeRatesBusinessExchangeRate include_option is a boolean, when False only required params are included, when True both required and optional params are included """ # model = openapi_client.models.post_business_exchange_rates_business_exchange_rate.PostBusinessExchangeRatesBusinessExchangeRate() # noqa: E501 if include_optional : return PostBusinessExchangeRatesBusinessExchangeRate( currency_id = '0', rate = 1.337, inverse_rate = 1.337, base_currency_id = '0' ) else : return PostBusinessExchangeRatesBusinessExchangeRate( currency_id = '0', rate = 1.337, ) def testPostBusinessExchangeRatesBusinessExchangeRate(self): """Test PostBusinessExchangeRatesBusinessExchangeRate""" inst_req_only = self.make_instance(include_optional=False) inst_req_and_optional = self.make_instance(include_optional=True) if __name__ == '__main__': unittest.main()

[ "kevin.gray@eurekasolutions.co.uk" ]

kevin.gray@eurekasolutions.co.uk

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/Code/CodeRecords/2351/60636/244985.py

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[]

no_license

AdamZhouSE/pythonHomework

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refs/heads/master

2022-11-24T08:05:22.122011

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n=int(input()) sources=[] for i in range(n-1): x=input().split(" ") source=[] for a in x: source.append(int(a)) sources.append(source) number=[] for i in range(1,n+1): delete=sources.copy() for y in sources: if(i in y): delete.pop(delete.index(y)) all_length=[] while(len(delete)!=0): all=[] all.append(delete[0][0]) all.append(delete[0][1]) delete.pop(0) if(len(delete)==1): all_length.append(1) break else: save=delete.copy() for i in delete: if((i[0] in all)|(i[1] in all)): if(not i[0] in all): all.append(i[0]) elif(not i[1] in all): all.append(i[1]) save.pop(save.index(i)) delete=save all_length.append(len(all)) number.append(max(all_length)) res="" for i in range(len(number)): if(number[i]==min(number)): res=res+str(i+1)+" " print(res,end="")

[ "1069583789@qq.com" ]

1069583789@qq.com

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/plotly/validators/choropleth/colorbar/_titleside.py

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miladrux/plotly.py

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import _plotly_utils.basevalidators class TitlesideValidator(_plotly_utils.basevalidators.EnumeratedValidator): def __init__( self, plotly_name='titleside', parent_name='choropleth.colorbar', **kwargs ): super(TitlesideValidator, self).__init__( plotly_name=plotly_name, parent_name=parent_name, edit_type='colorbars', role='style', values=['right', 'top', 'bottom'], **kwargs )

[ "adam.kulidjian@gmail.com" ]

adam.kulidjian@gmail.com

c2c73c9559c6f08d54ca4743125ef3d87c63a6f0

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/tests/src/TestSuites/FunctionalTestSuite/Run_SchoolInfraReport.py

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[ "MIT" ]

permissive

htvenkatesh/cQube

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import time from get_dir import pwd from CRC import crc_report_functional_testing from SI.MAP import School_Map_functional_testing from SI.Report import School_report_functional_testing import unittest from HTMLTestRunner import HTMLTestRunner from reuse_func import GetData class MyTestSuite(unittest.TestCase): @classmethod def setUpClass(self): self.data = GetData() self.logger = self.data.get_functional_log("schoolinfrareport") self.driver = self.data.get_driver() self.data.open_cqube_appln(self.driver) self.data.login_cqube(self.driver) def test_Issue(self): self.data.navigate_to_school_infrastructure() time.sleep(2) self.errMsg = self.data.get_data_status() if self.errMsg.text == 'No data found': print("No data in the school infrastructure report page") else: self.logger.info("school infra report execution started") functional_test = unittest.TestSuite() functional_test.addTests([ # file name .class name unittest.defaultTestLoader.loadTestsFromTestCase(School_report_functional_testing.cQube_SI_Report) ]) p= pwd() outfile = open(p.get_functional_report_path(), "a") runner1 = HTMLTestRunner.HTMLTestRunner( stream=outfile, title='School Infra Report Functional Test Report', verbosity=1, ) runner1.run(functional_test) outfile.close() self.logger.info("school infra report execution ended") @classmethod def tearDownClass(self): self.driver.close() if __name__ == '__main__': unittest.main()

[ "laxmikanth.vattamvar@tibilsolutions.com" ]

laxmikanth.vattamvar@tibilsolutions.com

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/MxShop/apps/goods/migrations/0009_auto_20190526_1746.py

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[]

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llf-1996/mx_drf

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refs/heads/master

2020-06-05T06:51:49.629343

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# -*- coding: utf-8 -*- # Generated by Django 1.11 on 2019-05-26 17:46 from __future__ import unicode_literals from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('goods', '0008_auto_20170826_1201'), ] operations = [ migrations.AlterModelTable( name='goodscategorybrand', table='goods_goodsbrand', ), ]

[ "2367746876@qq.com" ]

2367746876@qq.com

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/CIM14/IEC61970/Wires/RatioVariationCurve.py

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rimbendhaou/PyCIM

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2022-04-28T01:16:12.673867

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# Copyright (C) 2010-2011 Richard Lincoln # # 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 Software without restriction, including without limitation the # rights to use, copy, modify, merge, publish, distribute, sublicense, and/or # sell copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING # FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS # IN THE SOFTWARE. from CIM14.IEC61970.Core.Curve import Curve class RatioVariationCurve(Curve): """A Ratio Variation Curve describes the change in tap ratio in relationship to tap step changes. The tap step is represented using the xValue and the ratio using y1value. """ def __init__(self, RatioTapChanger=None, *args, **kw_args): """Initialises a new 'RatioVariationCurve' instance. @param RatioTapChanger: A RatioVariationCurve defines tap ratio changes for a RatioTapChanger. """ self._RatioTapChanger = None self.RatioTapChanger = RatioTapChanger super(RatioVariationCurve, self).__init__(*args, **kw_args) _attrs = [] _attr_types = {} _defaults = {} _enums = {} _refs = ["RatioTapChanger"] _many_refs = [] def getRatioTapChanger(self): """A RatioVariationCurve defines tap ratio changes for a RatioTapChanger. """ return self._RatioTapChanger def setRatioTapChanger(self, value): if self._RatioTapChanger is not None: self._RatioTapChanger._RatioVariationCurve = None self._RatioTapChanger = value if self._RatioTapChanger is not None: self._RatioTapChanger.RatioVariationCurve = None self._RatioTapChanger._RatioVariationCurve = self RatioTapChanger = property(getRatioTapChanger, setRatioTapChanger)

[ "rwl@thinker.cable.virginmedia.net" ]

rwl@thinker.cable.virginmedia.net

33e488832c4747e6af26ad44f680379afbfb7ddf

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/utils/cmfish/cmfish/middlewares.py

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[]

no_license

sui84/pytest

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refs/heads/master

2021-01-21T15:00:28.604917

2019-08-31T05:22:10

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py

# -*- coding: utf-8 -*- # Define here the models for your spider middleware # # See documentation in: # http://doc.scrapy.org/en/latest/topics/spider-middleware.html from scrapy import signals class CmfishSpiderMiddleware(object): # Not all methods need to be defined. If a method is not defined, # scrapy acts as if the spider middleware does not modify the # passed objects. @classmethod def from_crawler(cls, crawler): # This method is used by Scrapy to create your spiders. s = cls() crawler.signals.connect(s.spider_opened, signal=signals.spider_opened) return s def process_spider_input(self, response, spider): # Called for each response that goes through the spider # middleware and into the spider. # Should return None or raise an exception. return None def process_spider_output(self, response, result, spider): # Called with the results returned from the Spider, after # it has processed the response. # Must return an iterable of Request, dict or Item objects. for i in result: yield i def process_spider_exception(self, response, exception, spider): # Called when a spider or process_spider_input() method # (from other spider middleware) raises an exception. # Should return either None or an iterable of Response, dict # or Item objects. pass def process_start_requests(self, start_requests, spider): # Called with the start requests of the spider, and works # similarly to the process_spider_output() method, except # that it doesn’t have a response associated. # Must return only requests (not items). for r in start_requests: yield r def spider_opened(self, spider): spider.logger.info('Spider opened: %s' % spider.name)

[ "sui84@126.com" ]

sui84@126.com

d0eda4330f1ac653701045a4fc49b166fbca0fca

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/Enterprise/Marine/2020/2020_D.py

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[]

no_license

shikixyx/AtCoder

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refs/heads/master

2021-08-03T21:06:45.224547

2021-07-24T11:58:02

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UTF-8

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import sys import numpy as np from collections import defaultdict sys.setrecursionlimit(10 ** 7) read = sys.stdin.buffer.read readline = sys.stdin.buffer.readline readlines = sys.stdin.buffer.readlines # 愚直解 # TLE N = int(readline()) VW = [0] + [list(map(int, readline().split())) for _ in range(N)] Q = int(readline()) ul = [list(map(int, readline().split())) for _ in range(Q)] ul_s = sorted(ul, reverse=True) cache = [None] * (N + 1) S = 10 ** 5 + 10 TABLE = defaultdict(int) def solve(q, l): q = q[::-1] mi = -1 for i in range(len(q)): x = q[i] if type(cache[x]) is np.ndarray: mi = i else: break x = q[mi] dp = cache[x] if mi != -1 else np.zeros(S, dtype=np.int64) q = q[mi + 1 :] if mi != -1 else q ans = calc(q, l, dp) return ans def calc(q, l, dp): for u in q: v, w = VW[u] tmp = np.zeros(S, dtype=np.int64) tmp[w:] = dp[:-w] + v dp = np.maximum(dp, tmp) # cache[u] = np.copy(dp) cache[u] = dp return max(dp[: l + 1]) ans = [] for u, l in ul_s: q = [] v = u while v != 1: q.append(v) v //= 2 q.append(1) t = solve(q, l) TABLE[(u, l)] = t for u, l in ul: ans.append(TABLE[(u, l)]) print("\n".join(map(str, ans)))

[ "shiki.49.313@gmail.com" ]

shiki.49.313@gmail.com

0346e52eb44f0345bff729be90cefcd608a480f3

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/src/transformers/models/groupvit/__init__.py

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[ "Apache-2.0" ]

permissive

huggingface/transformers

ccd52a0d7c59e5f13205f32fd96f55743ebc8814

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refs/heads/main

2023-09-05T19:47:38.981127

2023-09-05T19:21:33

155,220,641

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# Copyright 2022 The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. from typing import TYPE_CHECKING from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tf_available, is_torch_available _import_structure = { "configuration_groupvit": [ "GROUPVIT_PRETRAINED_CONFIG_ARCHIVE_MAP", "GroupViTConfig", "GroupViTOnnxConfig", "GroupViTTextConfig", "GroupViTVisionConfig", ], } try: if not is_torch_available(): raise OptionalDependencyNotAvailable() except OptionalDependencyNotAvailable: pass else: _import_structure["modeling_groupvit"] = [ "GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST", "GroupViTModel", "GroupViTPreTrainedModel", "GroupViTTextModel", "GroupViTVisionModel", ] try: if not is_tf_available(): raise OptionalDependencyNotAvailable() except OptionalDependencyNotAvailable: pass else: _import_structure["modeling_tf_groupvit"] = [ "TF_GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST", "TFGroupViTModel", "TFGroupViTPreTrainedModel", "TFGroupViTTextModel", "TFGroupViTVisionModel", ] if TYPE_CHECKING: from .configuration_groupvit import ( GROUPVIT_PRETRAINED_CONFIG_ARCHIVE_MAP, GroupViTConfig, GroupViTOnnxConfig, GroupViTTextConfig, GroupViTVisionConfig, ) try: if not is_torch_available(): raise OptionalDependencyNotAvailable() except OptionalDependencyNotAvailable: pass else: from .modeling_groupvit import ( GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST, GroupViTModel, GroupViTPreTrainedModel, GroupViTTextModel, GroupViTVisionModel, ) try: if not is_tf_available(): raise OptionalDependencyNotAvailable() except OptionalDependencyNotAvailable: pass else: from .modeling_tf_groupvit import ( TF_GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST, TFGroupViTModel, TFGroupViTPreTrainedModel, TFGroupViTTextModel, TFGroupViTVisionModel, ) else: import sys sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)

[ "noreply@github.com" ]

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2021-01-10T03:37:31.657793

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''' Created by auto_sdk on 2015.08.07 ''' from aliyun.api.base import RestApi class Rds20140815DescribeSQLLogReportListRequest(RestApi): def __init__(self,domain='rds.aliyuncs.com',port=80): RestApi.__init__(self,domain, port) self.DBInstanceId = None self.EndTime = None self.Page = None self.PageNumbers = None self.StartTime = None def getapiname(self): return 'rds.aliyuncs.com.DescribeSQLLogReportList.2014-08-15'

[ "snowyxx@126.com" ]

snowyxx@126.com

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/casepro/cases/migrations/0041_populate_partner_users.py

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BlueRidgeLabs/casepro

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refs/heads/master

2022-01-24T09:01:18.881548

2017-12-05T18:46:05

2017-12-05T18:49:42

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# -*- coding: utf-8 -*- from __future__ import print_function, unicode_literals from django.db import migrations, models def populate_partner_users(apps, schema_editor): User = apps.get_model('auth', 'User') for user in User.objects.exclude(profile__partner=None): partner = user.profile.partner org = partner.org if user in org.editors.all() or user in org.viewers.all(): partner.users.add(user) else: print("User %s no longer has permissions in org %s to be a partner user" % (user.email, org.name)) class Migration(migrations.Migration): dependencies = [ ('cases', '0040_partner_users'), ] operations = [ migrations.RunPython(populate_partner_users) ]

[ "rowanseymour@gmail.com" ]

rowanseymour@gmail.com

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orestis/pyobjc

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2021-01-22T06:54:35.401551

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# This file was created automatically by SWIG. # Don't modify this file, modify the SWIG interface instead. # This file is compatible with both classic and new-style classes. import _tbuffer def _swig_setattr_nondynamic(self,class_type,name,value,static=1): if (name == "this"): if isinstance(value, class_type): self.__dict__[name] = value.this if hasattr(value,"thisown"): self.__dict__["thisown"] = value.thisown del value.thisown return method = class_type.__swig_setmethods__.get(name,None) if method: return method(self,value) if (not static) or hasattr(self,name) or (name == "thisown"): self.__dict__[name] = value else: raise AttributeError("You cannot add attributes to %s" % self) def _swig_setattr(self,class_type,name,value): return _swig_setattr_nondynamic(self,class_type,name,value,0) def _swig_getattr(self,class_type,name): method = class_type.__swig_getmethods__.get(name,None) if method: return method(self) raise AttributeError,name import types try: _object = types.ObjectType _newclass = 1 except AttributeError: class _object : pass _newclass = 0 del types __version__ = _tbuffer.__version__ __date__ = _tbuffer.__date__ __api_version__ = _tbuffer.__api_version__ __author__ = _tbuffer.__author__ __doc__ = _tbuffer.__doc__ glTbufferMask3DFX = _tbuffer.glTbufferMask3DFX glInitTbuffer3DFX = _tbuffer.glInitTbuffer3DFX __info = _tbuffer.__info

[ "ronaldoussoren@f55f28a5-9edb-0310-a011-a803cfcd5d25" ]

ronaldoussoren@f55f28a5-9edb-0310-a011-a803cfcd5d25

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/codes/BuildLinks1.10/test_input/CJ_16_1/16_1_1_roy999_main.py

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[]

no_license

DaHuO/Supergraph

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c88059dc66297af577ad2b8afa4e0ac0ad622915

refs/heads/master

2021-06-14T16:07:52.405091

2016-08-21T13:39:13

49,829,508

2

0

null

2021-03-19T21:55:46

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UTF-8

Python

false

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py

def process(input_file, out): t = int(input_file.readline()) for i in range(1, t + 1): line = input_file.readline().strip() result = solve(line) out.write("Case #%i: %s\n" % (i, result)) def solve(s): li = [s[0]] for c in s[1:]: if c < li[0]: li.append(c) else: li.insert(0, c) return ''.join(li)

[ "[dhuo@tcd.ie]" ]

[dhuo@tcd.ie]

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/src/qumulo/azext_qumulo/aaz/latest/qumulo/__cmd_group.py

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[ "LicenseRef-scancode-generic-cla", "MIT" ]

permissive

Azure/azure-cli-extensions

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MIT

2023-09-14T10:48:57

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UTF-8

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# -------------------------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # # Code generated by aaz-dev-tools # -------------------------------------------------------------------------------------------- # pylint: skip-file # flake8: noqa from azure.cli.core.aaz import * @register_command_group( "qumulo", ) class __CMDGroup(AAZCommandGroup): """Manage qumulo """ pass __all__ = ["__CMDGroup"]

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# Video - https://youtu.be/PmW8NfctNpk def sum_of_digits(n): n = abs(n) digits = [] char_digits = list(str(n)) for char_digit in char_digits: digits.append(int(char_digit)) return sum(digits) tests = [ (1325132435356, 43), (123, 6), (6, 6), (-10, 1) ] for n, expected in tests: result = sum_of_digits(n) print(result == expected)

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radorado@hacksoft.io

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"""This module provides the RP To-Do CLI.""" from pathlib import Path from typing import Optional import typer from rptodo import ERRORS, __app_name__, __version__, config, database app = typer.Typer() @app.command() def init( db_path: str = typer.Option( str(database.DEFAULT_DB_FILE_PATH), "--db-path", "-db", prompt="to-do database location?", ), ) -> None: """Initialize the to-do database.""" app_init_error = config.init_app(db_path) if app_init_error: typer.secho( f'Creating config file failed with "{ERRORS[app_init_error]}"', fg=typer.colors.RED, ) raise typer.Exit(1) db_init_error = database.init_database(Path(db_path)) if db_init_error: typer.secho( f'Creating database failed with "{ERRORS[db_init_error]}"', fg=typer.colors.RED, ) raise typer.Exit(1) else: typer.secho(f"The to-do database is {db_path}", fg=typer.colors.GREEN) def _version_callback(value: bool) -> None: if value: typer.echo(f"{__app_name__} v{__version__}") raise typer.Exit() @app.callback() def main( version: Optional[bool] = typer.Option( None, "--version", "-v", help="Show the application's version and exit.", callback=_version_callback, is_eager=True, ) ) -> None: return

[ "lpozor78@gmail.com" ]

lpozor78@gmail.com

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angelvv/HackerRankSolution

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refs/heads/master

2021-07-17T20:51:50.758364

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# Enter your code here. Read input from STDIN. Print output to STDOUT boy,girl = list(map(float, input().split())) # or =[float(x) for x in input().split()] pBoy = boy/(boy+girl) # hard code calculation p0Boy = (1-pBoy)**6 p1Boy = 6 * pBoy * (1-pBoy)**5 p2Boy = 6*5/2 * (pBoy**2) * ((1-pBoy)**4) pAtLeast3Boy = 1 - p0Boy - p1Boy - p2Boy """#Alternatively def factorial(n): return 1 if n==0 else n * factorial(n-1) def nChoosek(n, k): return factorial(n) / (factorial(k) * factorial(n - k)) def binomial(n, k, p): return nChoosek(n, k) * (p**k) * ((1 - p)**(n - k)) pAtLeast3Boy = 1 - binomial(6, 0, pBoy) - binomial(6, 1, pBoy) - binomial(6, 2, pBoy) """ print(round(pAtLeast3Boy,3))

[ "angel.huang90@gmail.com" ]

angel.huang90@gmail.com

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from numpy import * from matplotlib.pyplot import * import sys def solver(I, a, T, dt, theta): """Solve u'=-a*u, u(0)=I, for t in (0,T]; step: dt.""" dt = float(dt) # avoid integer division N = int(round(T/dt)) # no of time intervals T = N*dt # adjust T to fit time step dt u = zeros(N+1) # array of u[n] values t = linspace(0, T, N+1) # time mesh u[0] = I # assign initial condition for n in range(0, N): # n=0,1,...,N-1 u[n+1] = (1 - (1-theta)*a*dt)/(1 + theta*dt*a)*u[n] return u, t def exact_solution(t, I, a): return I*exp(-a*t) def explore(I, a, T, dt, theta=0.5, makeplot=True): """ Run a case with the solver, compute error measure, and plot the numerical and exact solutions (if makeplot=True). """ u, t = solver(I, a, T, dt, theta) # Numerical solution u_e = exact_solution(t, I, a) e = u_e - u E = sqrt(dt*sum(e**2)) if makeplot: figure() # create new plot t_e = linspace(0, T, 1001) # very fine mesh for u_e u_e = exact_solution(t_e, I, a) plot(t, u, 'r--o') # red dashes w/circles plot(t_e, u_e, 'b-') # blue line for u_e legend(['numerical', 'exact']) xlabel('t') ylabel('u') title('Method: theta-rule, theta=%g, dt=%g' % (theta, dt)) theta2name = {0: 'FE', 1: 'BE', 0.5: 'CN'} savefig('%s_%g.png' % (theta2name[theta], dt)) show() return E def define_command_line_options(): import argparse parser = argparse.ArgumentParser() parser.add_argument('--I', '--initial_condition', type=float, default=1.0, help='initial condition, u(0)', metavar='I') parser.add_argument('--a', type=float, default=1.0, help='coefficient in ODE', metavar='a') parser.add_argument('--T', '--stop_time', type=float, default=1.0, help='end time of simulation', metavar='T') parser.add_argument('--makeplot', action='store_true', help='display plot or not') parser.add_argument('--dt', '--time_step_values', type=float, default=[1.0], help='time step values', metavar='dt', nargs='+', dest='dt_values') return parser def read_command_line(use_argparse=True): if use_argparse: parser = define_command_line_options() args = parser.parse_args() print 'I={}, a={}, makeplot={}, dt_values={}'.format( args.I, args.a, args.makeplot, args.dt_values) return args.I, args.a, args.T, args.makeplot, args.dt_values else: if len(sys.argv) < 6: print 'Usage: %s I a on/off dt1 dt2 dt3 ...' % \ sys.argv[0]; sys.exit(1) I = float(sys.argv[1]) a = float(sys.argv[2]) T = float(sys.argv[3]) makeplot = sys.argv[4] in ('on', 'True') dt_values = [float(arg) for arg in sys.argv[5:]] return I, a, T, makeplot, dt_values def main(): I, a, T, makeplot, dt_values = read_command_line() r = {} for theta in 0, 0.5, 1: E_values = [] for dt in dt_values: E = explore(I, a, T, dt, theta, makeplot=False) E_values.append(E) # Compute convergence rates m = len(dt_values) r[theta] = [log(E_values[i-1]/E_values[i])/ log(dt_values[i-1]/dt_values[i]) for i in range(1, m, 1)] for theta in r: print '\nPairwise convergence rates for theta=%g:' % theta print ' '.join(['%.2f' % r_ for r_ in r[theta]]) return r def verify_convergence_rate(): r = main() tol = 0.1 expected_rates = {0: 1, 1: 1, 0.5: 2} for theta in r: r_final = r[theta][-1] diff = abs(expected_rates[theta] - r_final) if diff > tol: return False return True # all tests passed if __name__ == '__main__': if 'verify_rates' in sys.argv: sys.argv.remove('verify_rates') if not '--dt' in sys.argv: print 'Must assign several dt values through the --dt option' sys.exit(1) # abort if verify_convergence_rate(): pass else: print 'Bug in the implementation!' else: # Perform simulations main()

[ "hpl@simula.no" ]

hpl@simula.no

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/Vision Artificial/Emparejamiento.py

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[]

no_license

mecomontes/Python

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refs/heads/master

2023-05-30T05:24:41.999196

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""" Emparejamiento de plantillas Teoría El emparejamiento de plantillas (o template matching en inglés) es un método para buscar y encontrar la ubicación de una imagen de plantilla en una imagen más grande. OpenCV viene con la función cv2.matchTemplate() para este propósito. Esta función, simplemente, desliza la imagen de la plantilla sobre la imagen de entrada (como en la convolución 2D) y en cada punto compara la plantilla con la porción correspondiente de la imagen de entrada. En OpenCV están implementados varios métodos de comparación. La función devuelve una imagen en escala de grises, donde cada píxel indica cuánto coincide el entorno de ese píxel con la plantilla. Si la imagen de entrada es de tamaño (WxH) y la imagen de la plantilla es de tamaño (wxh), la imagen de salida tendrá un tamaño de (W-w + 1, H-h + 1). Una vez que obtenga el resultado, puede usar la función cv2.minMaxLoc() para encontrar dónde está el valor máximo / mínimo. El valor máximo/ mínimo corresponde a la esquina superior izquierda del rectángulo con ancho w y alto h. Ese rectángulo será la región de la imagen de entrada que mejor coincide con la plantilla. Nota: Si está utilizando cv2.TM_SQDIFF como método de comparación, el valor mínimo dará la mejor coincidencia. Emparejamiento de plantillas en OpenCV A continuación se comparará el desempeño de diferentes métodos de emparejamiento de la función cv2.matchTemplate(), para encontrar la cara de un hombre entre los granos de café: A continuación se muestra el código que hace esto:""" import cv2 import numpy as np from matplotlib import pyplot as plt img = cv2.imread('cafe.jpeg',0) img2 = img.copy() template = cv2.imread('template.png',0) w, h = template.shape[::-1] # All the 6 methods for comparison in a list methods = ['cv2.TM_CCOEFF', 'cv2.TM_CCOEFF_NORMED', 'cv2.TM_CCORR', 'cv2.TM_CCORR_NORMED', 'cv2.TM_SQDIFF', 'cv2.TM_SQDIFF_NORMED'] for meth in methods: img = img2.copy() method = eval(meth) # Aplica el emparejamiento de plantillas res = cv2.matchTemplate(img,template,method) min_val, max_val, min_loc, max_loc = cv2.minMaxLoc(res) # Si el método es TM_SQDIFF o TM_SQDIFF_NORMED, tomar el mínimo if method in [cv2.TM_SQDIFF, cv2.TM_SQDIFF_NORMED]: top_left = min_loc else: top_left = max_loc bottom_right = (top_left[0] + w, top_left[1] + h) cv2.rectangle(img,top_left, bottom_right, 255, 10) plt.subplot(121),plt.imshow(res,cmap = 'gray') plt.title('Resultado del emparejamiento'), plt.xticks([]), plt.yticks([]) plt.subplot(122),plt.imshow(img,cmap = 'gray') plt.title('Punto detectado'), plt.xticks([]), plt.yticks([]) plt.suptitle(meth) plt.show() """En este caso se observa que los seis métodos dan resultados similares. Sin embargo, esto puede variar dependiendo de la imagen y la plantilla en particular. Nótese que en los cuatro primeros gráficos a la izquierda el punto de máxima coincidencia es blanco (correspondiente con un máximo) mientras que, con los últimos dos métodos el punto de máxima coincidencia es negro (correspondiente con un mínimo) Emparejamiento de plantillas con múltiples objetos En la sección anterior, buscamos en la imagen la cara de un hombre, que aparece solo una vez en la imagen. Supongamos que está buscando un objeto que tiene múltiples ocurrencias, cv2.minMaxLoc() no le dará todas las ubicaciones. En ese caso, fijaremos un valor umbral por encima (o por debajo,dependiendo del método que usemos) del cual se asumirá que el objeto en la plantilla coincide con el objeto en la imagen. A continuación un ejemplo, en el que se muestra una captura de pantalla del famoso juego Mario. Utilizaremos el método explicado para encontrar todas las monedas.""" img_rgb = cv2.imread('mario.jpeg') img_gray = cv2.cvtColor(img_rgb, cv2.COLOR_BGR2GRAY) template = cv2.imread('moneda.jpeg',0) w, h = template.shape[::-1] res = cv2.matchTemplate(img_gray,template,cv2.TM_CCOEFF_NORMED) umbral = 0.8 loc = np.where( res >= umbral) for pt in zip(*loc[::-1]): cv2.rectangle(img_rgb, pt, (pt[0] + w, pt[1] + h), (0,0,255), 2) cv2.imwrite('res.png',img_rgb)

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1574@holbertonschool.com

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data = input().split() str_data = [] def constr(str): count = 8-len(i) con_str = '' while(count): con_str =con_str+'0' count = count-1 return i+con_str for i in data[1:]: if len(i)<=8: str_data.append(constr(i)) else: while(len(i)>8): str_data.append(i[0:8]) i = i[8:] str_data.append(constr(i)) sort_data = sorted(str_data,key=lambda x:x[0]) str_out = '' for ele in sort_data: str_out = str_out+ele+' ' print(str_out)

[ "864773190@qq.com" ]

864773190@qq.com

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Cuick/traversing

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# -*- coding:utf-8 -*- """ created by sphinx on 18/9/14. """ import os import json import time account_cache = {} class ServerManager(object): def __init__(self): self._servers = {} self._is_static = False if os.path.exists('server_list.json'): sl = json.load(open('server_list.json')) self._is_static = True for _ in sl: self._servers[_['name']] = _ print 'static server list:', self._servers def sync_server(self, name, ip, port, status, no): if not self._is_static: server = dict(name=name, ip=ip, port=port, status=status, no=no) for k, v in self._servers.items(): if v.get('name') == name: del self._servers[k] self._servers[time.time()] = server return True self._servers[time.time()] = server def get_server(self): if not self._is_static: for t in self._servers.keys(): if time.time() - t > 180: del self._servers[t] return self._servers.values() server_manager = ServerManager()

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zxzxck@163.com

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no_license

lxtxl/aws_cli

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refs/heads/master

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#!/usr/bin/python # -*- codding: utf-8 -*- import os import sys sys.path.append(os.path.dirname(os.path.abspath(os.path.dirname(__file__)))) from common.execute_command import read_one_parameter # url : https://awscli.amazonaws.com/v2/documentation/api/latest/reference/s3api/get-bucket-cors.html if __name__ == '__main__': """ delete-bucket-cors : https://awscli.amazonaws.com/v2/documentation/api/latest/reference/s3api/delete-bucket-cors.html put-bucket-cors : https://awscli.amazonaws.com/v2/documentation/api/latest/reference/s3api/put-bucket-cors.html """ parameter_display_string = """ # bucket : The bucket name for which to get the cors configuration. """ add_option_dict = {} ####################################################################### # setting option use # ex: add_option_dict["setting_matching_parameter"] = "--owners" # ex: add_option_dict["setting_key"] = "owner_id" ####################################################################### # single parameter # ex: add_option_dict["no_value_parameter_list"] = "--single-parameter" ####################################################################### # parameter display string add_option_dict["parameter_display_string"] = parameter_display_string read_one_parameter("s3api", "get-bucket-cors", "bucket", add_option_dict)

[ "hcseo77@gmail.com" ]

hcseo77@gmail.com

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jumbokh/gcp_class

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refs/heads/master

2021-10-22T09:22:04.634899

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py

# This file is MACHINE GENERATED! Do not edit. # Generated by: tensorflow/python/tools/api/generator/create_python_api.py script. """Testing. See the [Testing](https://tensorflow.org/api_guides/python/test) guide. Note: `tf.test.mock` is an alias to the python `mock` or `unittest.mock` depending on the python version. """ from __future__ import print_function as _print_function from tensorflow.python.framework.test_util import TensorFlowTestCase as TestCase from tensorflow.python.framework.test_util import assert_equal_graph_def_v1 as assert_equal_graph_def from tensorflow.python.framework.test_util import create_local_cluster from tensorflow.python.framework.test_util import gpu_device_name from tensorflow.python.framework.test_util import is_gpu_available from tensorflow.python.ops.gradient_checker import compute_gradient from tensorflow.python.ops.gradient_checker import compute_gradient_error from tensorflow.python.platform.benchmark import TensorFlowBenchmark as Benchmark from tensorflow.python.platform.benchmark import benchmark_config from tensorflow.python.platform.googletest import StubOutForTesting from tensorflow.python.platform.googletest import mock from tensorflow.python.platform.test import get_temp_dir from tensorflow.python.platform.test import is_built_with_cuda from tensorflow.python.platform.test import main from tensorflow.python.platform.test import test_src_dir_path del _print_function

[ "jumbokh@gmail.com" ]

jumbokh@gmail.com

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cczhong11/Leetcode-contest-code-downloader

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2021-09-07T15:36:38.892742

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# Definition for a binary tree node. # class TreeNode(object): # def __init__(self, x): # self.val = x # self.left = None # self.right = None class Solution(object): def ht(self, root): if root is None: return 0 return 1 + max(self.ht(root.left), self.ht(root.right)) def helper(self, root, level, start, end): if root is None: return mid = (end + start) / 2 self.res[level][mid] = str(root.val) self.helper(root.left, level+1, start, mid-1) self.helper(root.right, level+1, mid+1, end) def printTree(self, root): """ :type root: TreeNode :rtype: List[List[str]] """ h = self.ht(root) w = 1 for i in range(1, h): w = (w * 2 + 1) self.res = [['' for _ in range(w)] for _ in range(h)] self.helper(root, 0, 0, w-1) return self.res

[ "tczhong24@gmail.com" ]

tczhong24@gmail.com

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[]

no_license

mikanyman/.virtualenvs-legacy

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refs/heads/master

2020-12-31T07:10:07.018881

2017-02-01T02:16:55

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UTF-8

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""" #http://www.turnkeylinux.org/blog/django-profile #http://docs.django-userena.org/en/latest/installation.html from django.contrib.auth.models import User from userena.models import UserenaLanguageBaseProfile from django.db import models #class UserProfile(models.Model): class UserProfile(UserenaLanguageBaseProfile): user = models.ForeignKey(User, unique=True) url = models.URLField("Website", blank=True) company = models.CharField(max_length=50, blank=True) User.profile = property(lambda u: UserProfile.objects.get_or_create(user=u)[0]) """ # from django-userena demo_project from django.db import models from django.utils.translation import ugettext_lazy as _ from django.contrib.auth.models import User from userena.models import UserenaLanguageBaseProfile import datetime class Profile(UserenaLanguageBaseProfile): """ Default profile """ GENDER_CHOICES = ( (1, _('Male')), (2, _('Female')), ) user = models.OneToOneField(User, unique=True, verbose_name=_('user'), related_name='profile') gender = models.PositiveSmallIntegerField(_('gender'), choices=GENDER_CHOICES, blank=True, null=True) website = models.URLField(_('website'), blank=True, verify_exists=True) location = models.CharField(_('location'), max_length=255, blank=True) birth_date = models.DateField(_('birth date'), blank=True, null=True) about_me = models.TextField(_('about me'), blank=True) @property def age(self): if not self.birth_date: return False else: today = datetime.date.today() # Raised when birth date is February 29 and the current year is not a # leap year. try: birthday = self.birth_date.replace(year=today.year) except ValueError: day = today.day - 1 if today.day != 1 else today.day + 2 birthday = self.birth_date.replace(year=today.year, day=day) if birthday > today: return today.year - self.birth_date.year - 1 else: return today.year - self.birth_date.year

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mika.nyman@synapse-computing.com

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[]

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Kimyechan/codingTestPractice

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import sys import copy sys.setrecursionlimit(100000) operatorList = [] # def dfs(operators, count): # if len(operators) == count: # operatorList.append(copy.deepcopy(operators)) # return # # for x in [1, -1]: # operators.append(x) # dfs(operators, count) # operators.pop() # # # def solution(numbers, target): # answer = 0 # count = len(numbers) # # operators = [] # # dfs(operators, count) # for operation in operatorList: # result = 0 # for i in range(len(operation)): # result += operation[i] * numbers[i] # if result == target: # answer += 1 # # return answer answer = 0 def dfs(numbers, target, sum, index): global answer if index == len(numbers): if sum == target: answer += 1 return dfs(numbers, target, sum + numbers[index], index + 1) dfs(numbers, target, sum - numbers[index], index + 1) def solution(numbers, target): dfs(numbers, target, 0, 0) return answer print(solution([1, 1, 1, 1, 1], 3))

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vlvkcjswo7@naver.com

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from torchvision import datasets from torch.utils.data import DataLoader from collections import namedtuple from anyfig import get_config from ..transforms import get_train_transforms, get_val_transforms from ..utils.meta_utils import get_project_root def setup_dataloaders(): dataloaders = namedtuple('Dataloaders', ['train', 'val']) return dataloaders(train=setup_trainloader(), val=setup_valloader()) def setup_trainloader(): transforms = get_train_transforms() dataset_dir = get_project_root() / 'datasets' dataset = MyCifar10(dataset_dir, transforms, train=True) return DataLoader(dataset, batch_size=get_config().batch_size, num_workers=get_config().num_workers, shuffle=True) def setup_valloader(): transforms = get_val_transforms() dataset_dir = get_project_root() / 'datasets' dataset = MyCifar10(dataset_dir, transforms, train=False) return DataLoader(dataset, batch_size=get_config().batch_size, num_workers=get_config().num_workers) class MyCifar10(datasets.CIFAR10): def __init__(self, path, transforms, train=True): super().__init__(path, train, download=True) self.transforms = transforms def __getitem__(self, index): im, label = super().__getitem__(index) return self.transforms(im), label

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harrysson.olof@gmail.com

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/PyTorch/contrib/cv/classification/LResNet100E-IR/prof.py

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Ascend/ModelZoo-PyTorch

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refs/heads/master

2023-07-19T12:40:00.512853

2023-07-17T02:48:18

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# Copyright 2021 Huawei Technologies Co., Ltd # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License import argparse from tqdm import tqdm import torch from torch import nn from torch import optim import apex from apex import amp from model import Backbone, Arcface from utils import separate_bn_paras def get_data(args): x = torch.rand((args.batch, 3, 112, 112), dtype=torch.float32) y = torch.randint(2, (args.batch,), dtype=torch.long) return x, y class NewModel(nn.Module): def __init__(self): super(NewModel, self).__init__() self.backbone = Backbone(num_layers=100, drop_ratio=0.6, mode='ir_se') self.head = Arcface(embedding_size=512, classnum=85742) def forward(self, images, labels): embeddings = self.backbone(images) thetas = self.head(embeddings, labels) return thetas def prepare_args(): parser = argparse.ArgumentParser(description='get prof') parser.add_argument("-device", help="device", default='cuda:0', type=str) parser.add_argument("-amp", help="use amp", default=True, type=str) parser.add_argument("-batch", help="batch size", default=256, type=int) args = parser.parse_args() return args if __name__ == '__main__': # 640.982ms args = prepare_args() device = torch.device(args.device) if 'npu' in args.device: torch.npu.set_device(device) else: torch.cuda.set_device(device) # model model = NewModel() model = model.to(device) print('model head create over ') # optimizer paras_only_bn, paras_wo_bn = separate_bn_paras(model.backbone) if 'npu' in args.device and args.amp: optimizer = apex.optimizers.NpuFusedSGD([ {'params': paras_wo_bn + [model.head.kernel], 'weight_decay': 5e-4}, {'params': paras_only_bn} ], lr=0.001, momentum=0.9) else: optimizer = optim.SGD([ {'params': paras_wo_bn + [model.head.kernel], 'weight_decay': 5e-4}, {'params': paras_only_bn} ], lr=0.001, momentum=0.9) print('optimizer create over') # loss function loss_func = nn.CrossEntropyLoss().to(device) # amp setting if 'npu' in args.device and args.amp: model, optimizer = amp.initialize(model, optimizer, opt_level="O2", loss_scale=128.0, combine_grad=True) elif 'cuda' in args.device and args.amp: model, optimizer = amp.initialize(model, optimizer, opt_level="O2", loss_scale=128.0) print('start warm up train') # warm up train for _ in tqdm(range(5)): imgs, labels = get_data(args) imgs = imgs.to(device) labels = labels.to(device) thetas = model(imgs, labels) loss = loss_func(thetas, labels) optimizer.zero_grad() if args.amp: with amp.scale_loss(loss, optimizer) as scaled_loss: scaled_loss.backward() else: loss.backward() optimizer.step() print('start get prof') # get prof if "npu" in args.device: k_v = {'use_npu': True} else: k_v = {'use_cuda': True} with torch.autograd.profiler.profile(**k_v) as prof: imgs, labels = get_data(args) imgs = imgs.to(device) labels = labels.to(device) thetas = model(imgs, labels) loss = loss_func(thetas, labels) optimizer.zero_grad() if args.amp: with amp.scale_loss(loss, optimizer) as scaled_loss: scaled_loss.backward() else: loss.backward() optimizer.step() # print(prof.key_averages().table(sort_by="self_cpu_time_total")) prof.export_chrome_trace("output.prof") # "output.prof"为输出文件地址

[ "wangjiangben@huawei.com" ]

wangjiangben@huawei.com

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gistable/gistable

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2023-02-17T21:33:55.558398

2023-02-11T18:20:10

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# Name: EXIFmover.py # Author: Brian Klug (@nerdtalker / brian@brianklug.org) # Purpose: # Move Files into directory based on EXIF data make and model # Designed to un-clusterfuck the Dropbox camera upload directory which is a mess of every # JPEG and PNG ever if you use it like I do on a bunch of phones, and thus totally unwieldy # and full of images sorted by date or else nothing sometimes, dropbox seems nondeterminstic # Moves files into /[Image Make]+[Image Model]/ eg /Camera Uploads/LGE Nexus 4/ # Creates directory if it doesn't exist, moves into that directory if it exists # Files without EXIF get moved into /nomake nomodel (EG screenshots / nonsense) except exifmover/exif.py # This is experimental and one-way in a destructive sense, I take no responsibility # if this absolutely destroys your directory structure for some reason # I STRONGLY recommend making a copy of Camera Uploads, then running this on the copy, first # Requires EXIF-PY to be installed and importable # EXIF-PY can be obtained from https://github.com/ianare/exif-py # Previous implementation used EXIF.py standalone, updated to work with installable version # Run simply (eg from ipython "run exifmover.py" inside "Camera Upload") # Tested on OS 10.8.2 and Python 2.7.3 EPD # Tested on Windows XP and Python 2.7.3 EPD # Tested on Ubuntu 11.10 try: import exifread except: print "exifread was not found in the same directory as exifmover.py" import os import time start_time=time.time() path = os.getcwd() dirList=os.listdir(path) excludedfiles = ["EXIF.py","EXIFmover.py","exifmover.py","thumbs.db",".DS_Store","EXIF.pyc"] for fname in dirList: if os.path.isfile(fname): if fname not in excludedfiles: print "File name is " + fname f = open(fname) try: tags = exifread.process_file(f) except: print "Couldn't read tag on " + fname try: make = tags['Image Make'].printable except: make = 'nomake' try: model = tags['Image Model'].printable except: model = 'nomodel' src = path + "/" + fname #print "source is " + src dst = path + "/" + make + " " + model + "/" #print "destination is " + dst if os.path.isdir(dst) == False: os.mkdir(dst) #print "made" + dst destination = dst+fname f.close() try: os.rename(src,destination) except: print "Oh noes. That didn't work for some reason" print 'Done. Execution took {:0.3f} seconds'.format((time.time() - start_time))

[ "gistshub@gmail.com" ]

gistshub@gmail.com

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/u05ps02q03.py

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maryammouse/cs101

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2016-09-01T22:34:16.016963

2014-05-26T21:54:49

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# Write a procedure, rotate which takes as its input a string of lower case # letters, a-z, and spaces, and an integer n, and returns the string constructed # by shifting each of the letters n steps, and leaving the spaces unchanged. # Note that 'a' follows 'z'. You can use an additional procedure if you # choose to as long as rotate returns the correct string. # Note that n can be positive, negative or zero. # I love being able to use code I've defined already! Love not # starting from scratch :) def shift_n_letters(letter, n): if ord(letter) < 97: # just had to make return ' ' # this one change if ord(letter) + n > 122: n = ord(letter) + n - 122 return chr(96 + n) elif ord(letter) + n < 97: n = 97 - (ord(letter) + n) return chr(123 - n) return chr(ord(letter) + n) def rotate(word, n): rotated = '' for letter in word: rotated += shift_n_letters(letter, n) return rotated print 'coralee' + 'sings' print rotate ('sarah', 13) #>>> 'fnenu' print rotate('fnenu',13) #>>> 'sarah' print rotate('dave',5) #>>>'ifaj' print rotate('ifaj',-5) #>>>'dave' print rotate(("zw pfli tfuv nfibj tfiivtkcp pfl jyflcu " "sv rscv kf ivru kyzj"),-17) #>>> ???

[ "stellanova@Maryams-MacBook-Air.local" ]

stellanova@Maryams-MacBook-Air.local

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/_CodeTopics/LeetCode_contest/weekly/weekly2021/248-[smallweek]/248_1.py

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[]

no_license

BIAOXYZ/variousCodes

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2023-09-04T10:01:31.998311

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class Solution(object): def buildArray(self, nums): """ :type nums: List[int] :rtype: List[int] """ n = len(nums) res = [-1] * n for i in range(n): res[i] = nums[nums[i]] return res """ https://leetcode-cn.com/submissions/detail/192094213/ 134 / 134 个通过测试用例状态：通过执行用时: 32 ms 内存消耗: 13.1 MB """

[ "noreply@github.com" ]

BIAOXYZ.noreply@github.com

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/bluefly/areadetector_sim.py

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import asyncio import h5py import numpy as np from bluesky.run_engine import get_bluesky_event_loop from bluefly.areadetector import DetectorDriver, HDFWriter from bluefly.motor import MotorDevice from bluefly.simprovider import SimProvider def make_gaussian_blob(width: int, height: int) -> np.ndarray: """Make a Gaussian Blob with float values in range 0..1""" x, y = np.meshgrid(np.linspace(-1, 1, width), np.linspace(-1, 1, height)) d = np.sqrt(x * x + y * y) blob = np.exp(-(d ** 2)) return blob def interesting_pattern(x: float, y: float) -> float: """This function is interesting in x and y in range -10..10, returning a float value in range 0..1 """ z = 0.5 + (np.sin(x) ** 10 + np.cos(10 + y * x) * np.cos(x)) / 2 return z DATA_PATH = "/entry/data/data" UID_PATH = "/entry/uid" SUM_PATH = "/entry/sum" def sim_detector_logic( p: SimProvider, driver: DetectorDriver, hdf: HDFWriter, x: MotorDevice, y: MotorDevice, width: int = 320, height: int = 240, ): stopping = asyncio.Event(loop=get_bluesky_event_loop()) # The detector image we will modify for each image (0..255 range) blob = make_gaussian_blob(width, height) * 255 hdf_file = None p.set_value(driver.array_size_x, width) p.set_value(driver.array_size_y, height) @p.on_call(hdf.start) async def do_hdf_start(): file_path = p.get_value(hdf.file_template) % ( p.get_value(hdf.file_path), p.get_value(hdf.file_name), ) nonlocal hdf_file hdf_file = h5py.File(file_path, "w", libver="latest") # Data written in a big stack, growing in that dimension hdf_file.create_dataset( DATA_PATH, dtype=np.uint8, shape=(1, height, width), maxshape=(None, height, width), ) for path, dtype in {UID_PATH: np.int32, SUM_PATH: np.float64}.items(): # Areadetector attribute datasets have the same dimesionality as the data hdf_file.create_dataset( path, dtype=dtype, shape=(1, 1, 1), maxshape=(None, 1, 1), fillvalue=-1 ) hdf_file.swmr_mode = True @p.on_call(driver.start) async def do_driver_start(): stopping.clear() # areaDetector drivers start from array_counter + 1 offset = p.get_value(driver.array_counter) + 1 exposure = p.get_value(driver.acquire_time) period = p.get_value(driver.acquire_period) for i in range(p.get_value(driver.num_images)): try: # See if we got told to stop await asyncio.wait_for(stopping.wait(), period) except asyncio.TimeoutError: # Carry on pass else: # Stop now break uid = i + offset # Resize the datasets so they fit for path in (DATA_PATH, SUM_PATH, UID_PATH): ds = hdf_file[path] expand_to = tuple(max(*z) for z in zip((uid + 1, 1, 1), ds.shape)) ds.resize(expand_to) intensity = interesting_pattern( p.get_value(x.motor.readback), p.get_value(y.motor.readback) ) detector_data = (blob * intensity * exposure / period).astype(np.uint8) hdf_file[DATA_PATH][uid] = detector_data hdf_file[UID_PATH][uid] = uid hdf_file[SUM_PATH][uid] = np.sum(detector_data) p.set_value(hdf.array_counter, p.get_value(hdf.array_counter) + 1) @p.on_call(hdf.flush_now) async def do_hdf_flush(): # Note that UID comes last so anyone monitoring knows the data is there for path in (DATA_PATH, SUM_PATH, UID_PATH): hdf_file[path].flush() @p.on_call(hdf.stop) async def do_hdf_close(): hdf_file.close() @p.on_call(driver.stop) async def do_driver_stop(): stopping.set()

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tom.cobb@diamond.ac.uk

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pinewoods/back-to-game

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""" Django settings for mirror project. Generated by 'django-admin startproject' using Django 1.8. For more information on this file, see https://docs.djangoproject.com/en/1.8/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/1.8/ref/settings/ """ # Build paths inside the project like this: os.path.join(BASE_DIR, ...) import os BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) # Quick-start development settings - unsuitable for production # See https://docs.djangoproject.com/en/1.8/howto/deployment/checklist/ # SECURITY WARNING: keep the secret key used in production secret! SECRET_KEY = '6!0h@jqz0cuc80p*tahm!q4j7kc=^zl8*)j!n*yh^@!w!(j==y' # SECURITY WARNING: don't run with debug turned on in production! DEBUG = True ALLOWED_HOSTS = [] # Application definition INSTALLED_APPS = ( 'django.contrib.admin', 'django.contrib.auth', 'django.contrib.contenttypes', 'django.contrib.sessions', 'django.contrib.messages', 'django.contrib.staticfiles', 'rest_framework', 'sync_control', ) MIDDLEWARE_CLASSES = ( 'django.contrib.sessions.middleware.SessionMiddleware', 'django.middleware.common.CommonMiddleware', 'django.middleware.csrf.CsrfViewMiddleware', 'django.contrib.auth.middleware.AuthenticationMiddleware', 'django.contrib.auth.middleware.SessionAuthenticationMiddleware', 'django.contrib.messages.middleware.MessageMiddleware', 'django.middleware.clickjacking.XFrameOptionsMiddleware', 'django.middleware.security.SecurityMiddleware', ) ROOT_URLCONF = 'mirror.urls' TEMPLATES = [ { 'BACKEND': 'django.template.backends.django.DjangoTemplates', 'DIRS': [], 'APP_DIRS': True, 'OPTIONS': { 'context_processors': [ 'django.template.context_processors.debug', 'django.template.context_processors.request', 'django.contrib.auth.context_processors.auth', 'django.contrib.messages.context_processors.messages', ], }, }, ] WSGI_APPLICATION = 'mirror.wsgi.application' # Database # https://docs.djangoproject.com/en/1.8/ref/settings/#databases DATABASES = { 'default': { 'ENGINE': 'django.db.backends.sqlite3', 'NAME': os.path.join(BASE_DIR, 'db.sqlite3'), } } # Internationalization # https://docs.djangoproject.com/en/1.8/topics/i18n/ LANGUAGE_CODE = 'en-us' TIME_ZONE = 'UTC' USE_I18N = True USE_L10N = True USE_TZ = True # Static files (CSS, JavaScript, Images) # https://docs.djangoproject.com/en/1.8/howto/static-files/ STATIC_URL = '/static/' REST_FRAMEWORK = { 'PAGE_SIZE': 10, 'DEFAULT_PERMISSION_CLASSES': ( 'rest_framework.permissions.IsAdminUser',), }

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vido@usp.br

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/apps/recruitpro/recruitpro/recruitpro/doctype/territory/test_territory.py

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# -*- coding: utf-8 -*- # Copyright (c) 2020, teampro and Contributors # See license.txt from __future__ import unicode_literals # import frappe import unittest class TestTerritory(unittest.TestCase): pass

[ "sharmiviji1997@gmail.com" ]

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pombredanne/azure-sdk-for-python

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refs/heads/master

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2019-12-11T21:31:24

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# coding: utf-8 # ------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for # license information. # -------------------------------------------------------------------------- """ FILE: sample_recognize_entities_async.py DESCRIPTION: This sample demonstrates how to recognize named entities in a batch of documents. USAGE: python sample_recognize_entities_async.py Set the environment variables with your own values before running the sample: 1) AZURE_TEXT_ANALYTICS_ENDPOINT - the endpoint to your cognitive services resource. 2) AZURE_TEXT_ANALYTICS_KEY - your text analytics subscription key OUTPUT: Document text: Microsoft was founded by Bill Gates and Paul Allen. Entity: Microsoft Type: Organization Confidence Score: 1.0 Entity: Bill Gates Type: Person Confidence Score: 1.0 Entity: Paul Allen Type: Person Confidence Score: 1.0 Document text: I had a wonderful trip to Seattle last week. Entity: Seattle Type: Location Confidence Score: 0.806 Entity: last week Type: DateTime Confidence Score: 0.8 Document text: I visited the Space Needle 2 times. Entity: Space Needle Type: Organization Confidence Score: 0.922 Entity: 2 Type: Quantity Confidence Score: 0.8 """ import os import asyncio class RecognizeEntitiesSampleAsync(object): endpoint = os.getenv("AZURE_TEXT_ANALYTICS_ENDPOINT") key = os.getenv("AZURE_TEXT_ANALYTICS_KEY") async def recognize_entities_async(self): # [START batch_recognize_entities_async] from azure.cognitiveservices.language.textanalytics.aio import TextAnalyticsClient text_analytics_client = TextAnalyticsClient(endpoint=self.endpoint, credential=self.key) documents = [ "Microsoft was founded by Bill Gates and Paul Allen.", "I had a wonderful trip to Seattle last week.", "I visited the Space Needle 2 times.", ] async with text_analytics_client: result = await text_analytics_client.recognize_entities(documents) docs = [doc for doc in result if not doc.is_error] for idx, doc in enumerate(docs): print("\nDocument text: {}".format(documents[idx])) for entity in doc.entities: print("Entity: \t", entity.text, "\tType: \t", entity.type, "\tConfidence Score: \t", round(entity.score, 3)) # [END batch_recognize_entities_async] async def alternative_scenario_recognize_entities_async(self): """This sample demonstrates how to retrieve batch statistics, the model version used, and the raw response returned from the service. It additionally shows an alternative way to pass in the input documents using a list[TextDocumentInput] and supplying your own IDs and language hints along with the text. """ from azure.cognitiveservices.language.textanalytics.aio import TextAnalyticsClient text_analytics_client = TextAnalyticsClient(endpoint=self.endpoint, credential=self.key) documents = [ {"id": "0", "language": "en", "text": "Microsoft was founded by Bill Gates and Paul Allen."}, {"id": "1", "language": "de", "text": "I had a wonderful trip to Seattle last week."}, {"id": "2", "language": "es", "text": "I visited the Space Needle 2 times."}, ] extras = [] def callback(resp): extras.append(resp.statistics) extras.append(resp.model_version) extras.append(resp.raw_response) async with text_analytics_client: result = await text_analytics_client.recognize_entities( documents, show_stats=True, model_version="latest", response_hook=callback ) async def main(): sample = RecognizeEntitiesSampleAsync() await sample.recognize_entities_async() await sample.alternative_scenario_recognize_entities_async() if __name__ == '__main__': loop = asyncio.get_event_loop() loop.run_until_complete(main())

[ "noreply@github.com" ]

pombredanne.noreply@github.com

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/siteEtu/accountCreator.py

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[]

no_license

Trymal/TrombinoscopeCorrec

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refs/heads/master

2022-07-08T08:21:07.441738

2020-05-10T15:51:48

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py

import random import hashlib from setup import * def saveAccount(account): with open("./comptes.csv", "a") as fichier: fichier.write(account) nb_comptes = 150 m_hash = hashlib.sha256() for nb in range(nb_comptes): prenom = random.choice(PRENOMS) nom = random.choice(NOMS) filiere = random.choice(FILIERES) groupe = random.choice(GROUPES[filiere]) mail = (prenom + "." + nom + "@gmail.com").lower() mdp = (nom[0] + prenom).lower().encode() m_hash.update(mdp) compte = "{};{};{};{};{};{};{}\n".format(nom, prenom, mail, filiere, groupe, m_hash.hexdigest(), DIR_PP) saveAccount(compte)

[ "unconfigured@null.spigotmc.org" ]

unconfigured@null.spigotmc.org

df11f48a42b4597d6517b5f0ba783ccce171f5c3

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/python/pandas/ewma.py

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[]

no_license

id774/sandbox

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refs/heads/master

2023-08-03T05:04:20.111543

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2020-03-05T06:18:03

2010-08-26T01:05:11

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import numpy as np import pandas as pd import matplotlib.pyplot as plt ewma = pd.stats.moments.ewma x = list(range(1, 50)) + list(range(50, 0, -1)) ma = ewma(np.array(x), span=15) plt.plot(x, linewidth=1.0) plt.plot(ma, linewidth=1.0) plt.show() plt.savefig("image.png")

[ "idnanashi@gmail.com" ]

idnanashi@gmail.com

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a4c04117685c3d28dd60bdfc45654cb2c935f746

/rasterio_example.py

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[]

no_license

DKnapp64/General_Python_Codes

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refs/heads/main

2023-02-28T05:55:46.018482

2021-02-01T21:55:16

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import rasterio import numpy with rasterio.drivers(): with rasterio.open('baikal_subset.tif') as src: b1, b2, b3, b4, b5 = src.read() profile = src.profile profile.update( dtype=rasterio.float64, count=1, compress='lzw') ndvi = numpy.zeros(b1.shape) ndvi = (b1-b2)/(b1+b2) with rasterio.open('ndvi_python.tif', 'w', **profile) as dst: dst.write(ndvi.astype(rasterio.float64), 1)

[ "dknapp4@asu.edu" ]

dknapp4@asu.edu

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/apps/trade/urls.py

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[]

no_license

aurthurm/sagetrader

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refs/heads/master

2023-01-24T23:23:59.129638

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2023-01-03T16:11:42

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from django.urls import path, include from .views import * app_name = 'trade' urlpatterns = [ path('dashboard/', Dashboard.as_view(), name='dashboard'), path('statistics/member', Statistics.as_view(), name='member-statistics'), path('trading-plan/update/', UpdatePlan.as_view(), name='update-plan'), path('trading-portfolio/update/', UpdatePortfolio.as_view(), name='update-portfolio'), path('trading-portfolio/remove/', UpdatePortfolioRemove.as_view(), name='update-portfolio-remove'), path('mine/', TradeList.as_view(), name='my-trades'), path('strategies/mine/', StrategiesList.as_view(), name='my-strategies'), path('place/', PlaceTrade.as_view(), name='place-trade'), path('strategy/add/', StrategyCreate.as_view(), name='add-strategy'), path('<int:trade_id>/detail', TradeDetail.as_view(), name='trade-detail'), path('<int:trade_id>/followup', AddFollowUp.as_view(), name='trade-followup'), path('<int:trade_id>/charts/', AddChart.as_view(), name='add-chart'), ]

[ "aurthurmusendame@gmail.com" ]

aurthurmusendame@gmail.com

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/Object Oriented Programming/oops/class_11.py

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[]

no_license

deesaw/PythonD-06

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refs/heads/master

2023-03-18T08:24:42.030935

2021-03-02T14:15:09

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false

594

py

#usage of super # parent class class Deer: def __init__(self): print("Deer is in forest") def whoisThis(self): print("Parent - Deer") def jump(self): print("Deer is jumping") # child class class Stag(Deer): def __init__(self): print("Stag is ready") def whoisThis(self): print("Child - Stag") def run(self): print("Runs faster") def parentwhoisThis(self): #super(Stag,self).whoisThis() super().whoisThis() bucky = Stag() bucky.whoisThis() bucky.jump() bucky.run() bucky.parentwhoisThis()

[ "69420960+deesaw@users.noreply.github.com" ]

69420960+deesaw@users.noreply.github.com

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/SQL/group-by-time.py

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[]

no_license

ryanchang1005/Django-lab

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refs/heads/master

2023-06-30T03:44:37.749216

2021-08-03T03:06:01

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null

UTF-8

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false

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py

""" Group by minute Input: 6 2020-12-09 09:29:04.215836 7 2020-12-09 09:29:18.682882 8 2020-12-09 09:29:19.831128 9 2020-12-09 09:29:34.918914 10 2020-12-09 09:29:37.036617 11 2020-12-09 09:29:38.672620 12 2020-12-09 09:29:40.311120 13 2020-12-09 09:29:40.820016 14 2020-12-09 09:29:41.537559 15 2020-12-09 09:29:53.676690 16 2020-12-09 09:30:02.336606 17 2020-12-09 09:30:03.815859 18 2020-12-09 09:30:05.412835 19 2020-12-09 09:30:15.673348 20 2020-12-09 09:34:50.976693 21 2020-12-09 09:34:53.490987 Output: [ {'log_minute': '17:29', 'log_count': 10}, {'log_minute': '17:30', 'log_count': 4}, {'log_minute': '17:34', 'log_count': 2} ] """ def format(x): return '%02d' % x from datetime import datetime from django.db.models import Count from django.db.models.functions import Trunc qs = Log.objects.all().annotate(log_minute=Trunc('created', 'minute')).values('log_minute').annotate(log_count=Count('id')) data = [] for it in qs: data.append({ 'log_minute': format(it['log_minute'].hour) + ':' + format(it['log_minute'].minute), 'log_count': it['log_count'], }) data.sort(key=lambda it: it['log_minute'])

[ "ryan@maideax.com" ]

ryan@maideax.com

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/run.py

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[]

no_license

zhtjtcz/Software-Backend

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refs/heads/main

2023-06-07T06:28:05.345830

2021-06-17T16:30:47

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8

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null

UTF-8

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py

import os os.system("python manage.py makemigrations") os.system("python manage.py migrate") os.system("nohup python manage.py runserver 0.0.0.0:8000 & \n") print("The backend is running!")

[ "18377221@buaa.edu.cn" ]

18377221@buaa.edu.cn

956d2b8dc4154b4476b17b8c513d88086fefd4be

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/Lights/adafruit-circuitpython-bundle-6.x-mpy-20210310/examples/register_unarystruct.py

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[ "Apache-2.0" ]

permissive

IanSMoyes/SpiderPi

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refs/heads/master

2023-03-20T22:30:23.362137

2021-03-12T17:37:33

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py

# SPDX-FileCopyrightText: 2021 ladyada for Adafruit Industries # SPDX-License-Identifier: MIT from board import SCL, SDA from busio import I2C from adafruit_bus_device.i2c_device import I2CDevice from adafruit_register.i2c_struct import UnaryStruct DEVICE_ADDRESS = 0x74 # device address of PCA9685 board A_DEVICE_REGISTER_1 = 0x00 # Configuration register on the is31fl3731 board A_DEVICE_REGISTER_2 = 0x03 # Auto Play Control Register 2 on the is31fl3731 board class DeviceControl: # pylint: disable-msg=too-few-public-methods def __init__(self, i2c): self.i2c_device = i2c # self.i2c_device required by UnaryStruct class register1 = UnaryStruct(A_DEVICE_REGISTER_1, "<B") # 8-bit number register2 = UnaryStruct(A_DEVICE_REGISTER_2, "<B") # 8-bit number # The follow is for I2C communications comm_port = I2C(SCL, SDA) device = I2CDevice(comm_port, DEVICE_ADDRESS) registers = DeviceControl(device) # set the bits in the device registers.register1 = 1 << 3 | 2 registers.register2 = 32 # display the device values for the bits print("register 1: {}; register 2: {}".format(registers.register1, registers.register2)) # toggle the bits registers.register1 = 2 << 3 | 5 registers.register2 = 60 # display the device values for the bits print("register 1: {}; register 2: {}".format(registers.register1, registers.register2))

[ "ians.moyes@gmail.com" ]

ians.moyes@gmail.com

43fb565c520ceba642840b9e2be90020c32f9bab

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/rlf/rl/loggers/sanity_checker.py

b27b9192a2eb8ad7ad2c58c8f3ceb49e8e0e9079

[ "MIT" ]

permissive

amy12xx/rl-toolkit

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8254df8346752ea0226ae2064cc1eabc839567b0

refs/heads/master

2023-08-14T00:56:52.270642

2021-09-28T15:59:32

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null

UTF-8

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py

from collections import defaultdict import torch.nn as nn def print_tensor(x): if len(x.shape) > 1: return str(x.view(-1, x.shape[-1])[0, :5]) else: return str(x[:5]) class SanityChecker: def __init__(self, should_check, is_verbose, stop_key, stop_iters): self.is_verbose = is_verbose self.should_check = should_check self.log_key_calls = defaultdict(lambda:0) self.stop_key = stop_key self.stop_iters = stop_iters def check(self, log_key, **kwargs): if not self.should_check: return if self.is_verbose: print('---') for k,v in kwargs.items(): print(self.get_str(k,v)) self.log_key_calls[log_key] += 1 if self.log_key_calls[self.stop_key] >= self.stop_iters: raise ValueError('Sanity stopped. Program done.') def check_rnd_state(self, key): if not self.should_check: return weight = nn.Linear(3,2).weight print(f"{key}:Rnd", weight.view(-1).detach()[0].item()) def get_str(self, k,v, indent=""): s = f"{indent}{k}: " if isinstance(v, dict): for x,y in v.items(): s += "\n" s += self.get_str(x,y, " ") elif isinstance(v, nn.Module): params = list(v.parameters()) sample_spots = [0, -1, -5, 3] for x in sample_spots: s += f"\n{indent} {x}:" + print_tensor(params[x]) else: s += f"{v}" return s sanity_checker = None def get_sanity_checker(): global sanity_checker assert sanity_checker is not None return sanity_checker def set_sanity_checker(args): global sanity_checker cmd = args.sanity_cmd if len(cmd) == 0: cmd = ':' stop_key, stop_iters = cmd.split(':') if stop_iters == '': stop_iters = 1 else: stop_iters = int(stop_iters) sanity_checker = SanityChecker(args.sanity, args.sanity_verbose, stop_key, stop_iters) def set_sanity_checker_simple(): global sanity_checker sanity_checker = SanityChecker(True, True, "", 1000000000) def check(*args, **kwargs): get_sanity_checker().check(*args, **kwargs) def c(v): get_sanity_checker().check("tmp", v=v) def check_rand_state(key=""): get_sanity_checker().check_rnd_state(key)

[ "me@andrewszot.com" ]

me@andrewszot.com

49a249a7ab9728cf12bc9b8176cd9f2b40792e1f

553af2a9b110d54c0c2d972726f69ad9578f772f

/k2_domain/tests.py

63942882cb5753b4c1bdf78693ee9e5f8bc64b29

[]

no_license

simonemmott/k2

31ca9aca661e4a070ec3dfd6f6533abcc84ed883

f455727c3f25dd2ad428c9c2936f05d94a62f843

refs/heads/master

2022-12-16T23:10:48.687149

2019-06-24T22:48:24

192,113,010

0

null

2022-12-08T05:15:52

2019-06-15T18:47:55

Python

UTF-8

Python

false

2,428

py

from django.test import TestCase from jinja2 import Environment from k2.jinja2 import environment from jinja2 import PackageLoader import json from k2_util import templates from k2.settings import BASE_DIR from posix import lstat jinja2_env = environment(loader=PackageLoader('k2_domain', 'jinja2')) def test_domain(): class Object(object): pass class List(object): def __init__(self, lst): self.lst = lst def all(self): return self.lst domain = Object() domain.name = 'DOMAIN_NAME' model1 = Object() model1.id = 1 model1.name = 'MODEL_1' model2 = Object() model2.id = 2 model2.name = 'MODEL_2' domain.models = List([model1, model2]) return domain # Create your tests here. class Jinja2Tests(TestCase): def test_template_from_string(self): template = jinja2_env.from_string('Hello {{target}}!') output = template.render(target='World') self.assertEqual('Hello World!', output) def test_list_from_string(self): template = jinja2_env.from_string('[{% for model in domain.models.all() %}{{model.name}}.py,{% endfor %}]') lst = template.render(domain=test_domain())[1:-2].split(',') self.assertEquals('MODEL_1.py', lst[0]) self.assertEquals('MODEL_2.py', lst[1]) class IndexTests(TestCase): def test_indexes(self): index = templates.index(jinja2_env, BASE_DIR, 'k2_domain', 'k2_domain', domain=test_domain()) self.assertEquals(1, len(index)) self.assertTrue('DOMAIN_NAME' in index.keys()) self.assertEquals('k2_domain/domain.name', index.get('DOMAIN_NAME')) index = templates.index(jinja2_env, BASE_DIR, 'k2_domain', 'k2_domain/domain.name/models', domain=test_domain()) self.assertEquals(3, len(index)) self.assertTrue('__init__.py' in index.keys()) self.assertEquals('k2_domain/domain.name/models/__init__.py', index.get('__init__.py')) self.assertTrue('MODEL_1.py' in index.keys()) self.assertEquals('k2_domain/domain.name/models/model.py&model=1', index.get('MODEL_1.py')) self.assertTrue('MODEL_2.py' in index.keys()) self.assertEquals('k2_domain/domain.name/models/model.py&model=2', index.get('MODEL_2.py'))

[ "simon.emmott@yahoo.co.uk" ]

simon.emmott@yahoo.co.uk

eab2e39b65e58dce27b14af21523d7b9932dfbcf

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/All_In_One/addons/cellblender/bng/bng_operators.py

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[]

no_license

2434325680/Learnbgame

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7b796d30dfd22b7706a93e4419ed913d18d29a44

refs/heads/master

2023-08-22T23:59:55.711050

2021-10-17T07:26:07

null

0

null

UTF-8

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py

import bpy import os import subprocess from cellblender import cellblender_properties, cellblender_operators #from . import net # We use per module class registration/unregistration filePath = '' def register(): bpy.utils.register_module(__name__) def unregister(): bpy.utils.unregister_module(__name__) def cleanup(filePath): pass def execute_bionetgen(filepath,context): mcell = context.scene.mcell if mcell.cellblender_preferences.bionetgen_location_valid: bngpath = mcell.cellblender_preferences.bionetgen_location print ("\nBioNetGen exe found: " + bngpath) destpath = os.path.dirname(__file__) exe_bng = " ".join([bngpath, "--outdir", destpath, filepath]) # create command string for BNG execution print("*** Starting BioNetGen execution ***") print(" Command: " + exe_bng ) #os.system(exe_bng) # execute BNG subprocess.call([bngpath,"--outdir",destpath,filepath]) else: # Perform the search as done before from os.path import exists filebasename = os.path.basename(filepath) filedirpath = os.path.dirname(filepath) # dir of the bngl script file check_dir = filedirpath; n = 0 while(n!=20): # iterative search for BNG exe file (starts from the dir containing the bngl script file) bng_dir = check_dir # current dir (+ any unchecked child dir) to be checked checked = {} # list of dirs for which search is complete i = 0 for (dirpath, dirname, filename) in os.walk(bng_dir): # Search over the current and previously unchecked child dirs if (i == 0): check_dir = os.path.dirname(dirpath) # mark the parent dir for next search (after current and child dirs are done) i = 1 if dirpath in checked: # escape any child dir if already been checked continue bngpath = os.path.join(dirpath,"BNG2.pl") # tentative path for the BNG exe. file print ( "Searching for " + bngpath ) if os.path.exists(bngpath): # if BNG exe.file found, proceed for BNG execution print ("\nBioNetGen exe found: " + bngpath) destpath = os.path.dirname(__file__) exe_bng = " ".join([bngpath, "--outdir", destpath, filepath]) # create command string for BNG execution print("*** Started BioNetGen execution ***") #os.system(exe_bng) # execute BNG subprocess.call([bngpath,"--outdir",destpath,filepath]) return{'FINISHED'} checked.update({dirpath:True}) # store checked directory in the list n +=1 if (n==20): # too many iterations; BNG not found, stop further search print ("Error running BioNetGen. BNG2.pl not found....") return{'FINISHED'}

[ "root@localhost.localdomain" ]

root@localhost.localdomain

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/sdk/python/pulumi_azure_native/subscription/v20191001preview/__init__.py

809b67527e985eb66ca6611d911e43258c96a031

[ "Apache-2.0", "BSD-3-Clause" ]

permissive

morrell/pulumi-azure-native

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cd3ba4b9cb08c5e1df7674c1c71695b80e443f08

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# coding=utf-8 # *** WARNING: this file was generated by the Pulumi SDK Generator. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** from ... import _utilities import typing # Export this package's modules as members: from ._enums import * from .get_subscription_alias import * from .subscription_alias import * from ._inputs import * from . import outputs

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from enum import Enum from pydantic import AnyUrl, Field from typing import List, Optional from bson.objectid import ObjectId from .base import Base, ObjectID, MusicEnum, VideoEnum, CategoryEnum class Category(Base): """Category definiton""" id: CategoryEnum = Field(None, alias="_id") class ItemBase(Base): """Base fields for any item""" id: ObjectID = Field(None, alias="_id") flags: List[str] = list() hidden: bool = False title: str url: AnyUrl year_release: int genres: List[str] = list() class Show(ItemBase): """Shows category definition""" seasons: int episode_length: int season_length: int streaming: Optional[VideoEnum] class Anime(Show): """Anime category defintion""" # NOTE update if any other fields required pass class Movie(ItemBase): """Movie category definition""" language: str director: str streaming: Optional[VideoEnum] class Music(ItemBase): """Music category definiton""" artist: str album: Optional[str] streaming: Optional[MusicEnum] class Book(ItemBase): author: str

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# https://www.educative.io/courses/grokking-the-coding-interview/mElknO5OKBO def triplet_with_smaller_sum(arr, target): arr.sort() arr_len = len(arr) result = 0 for i in range(arr_len - 1): ptr1 = i + 1 ptr2 = arr_len - 1 sum = target - arr[i] while ptr1 < ptr2: if arr[ptr1] + arr[ptr2] < sum: result += (ptr2 - ptr1) ptr1 += 1 else: ptr2 -= 1 return result def main(): print(triplet_with_smaller_sum([-1, 0, 2, 3], 3)) print(triplet_with_smaller_sum([-1, 4, 2, 1, 3], 5)) main()

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"""Tests for outlier related utility functions.""" import numpy as np from numpy.testing import assert_equal from neurodsp.utils.outliers import * ################################################################################################### ################################################################################################### def test_remove_nans(): # Test with equal # of NaNs on either edge arr = np.array([np.NaN, np.NaN, 1, 2, 3, np.NaN, np.NaN]) arr_no_nans, arr_nans = remove_nans(arr) assert_equal(arr_no_nans, np.array([1, 2, 3])) assert_equal(arr_nans, np.array([True, True, False, False, False, True, True])) # Test with different # of NaNs on either edge arr = np.array([np.NaN, np.NaN, 1, 2, 3, 4, np.NaN,]) arr_no_nans, arr_nans = remove_nans(arr) assert_equal(arr_no_nans, np.array([1, 2, 3, 4])) assert_equal(arr_nans, np.array([True, True, False, False, False, False, True])) def test_restore_nans(): arr_no_nans = np.array([1, 2, 3]) arr_nans = np.array([True, True, False, False, False, True]) arr_restored = restore_nans(arr_no_nans, arr_nans) assert_equal(arr_restored, np.array([np.NaN, np.NaN, 1, 2, 3, np.NaN])) def test_discard_outliers(): pass

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# Generated by Django 2.1.7 on 2020-02-19 10:44 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('users', '0001_initial'), ] operations = [ migrations.AddField( model_name='userprofile', name='currency', field=models.IntegerField(default=1000), ), migrations.AddField( model_name='userprofile', name='is_active', field=models.BooleanField(default=True), ), ]

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def backend_pyqt4_internal_check(self): try: from PyQt4 import QtCore except ImportError: raise CheckFailed('PyQt4 not found') try: qt_version = QtCore.QT_VERSION pyqt_version_str = QtCore.QT_VERSION_STR except AttributeError: raise CheckFailed('PyQt4 not correctly imported') else: return ('Qt: %s, PyQt: %s' % (self.convert_qt_version(qt_version), pyqt_version_str))

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import pytest from Acquire.Crypto import PrivateKey, get_private_key from Acquire.Service import pack_arguments, unpack_arguments from Acquire.Service import pack_return_value, unpack_return_value from Acquire.Service import create_return_value from Acquire.ObjectStore import string_to_bytes, bytes_to_string import random import json def _bar(): raise PermissionError("Test Traceback") def _foo(): _bar() def test_pack_unpack_args_returnvals(): privkey = get_private_key("testing") pubkey = privkey.public_key() args = {"message": "Hello, this is a message", "status": 0, "long": [random.random() for _ in range(2)]} func = "test_function" packed = pack_arguments(function=func, args=args) crypted = pubkey.encrypt(packed) uncrypted = privkey.decrypt(crypted) (f, unpacked, keys) = unpack_arguments(args=uncrypted) print(keys) assert(args == unpacked) assert(f == func) packed = pack_arguments(function=func, args=args, key=pubkey, response_key=pubkey, public_cert=pubkey) data = json.loads(packed.decode("utf-8")) assert(data["encrypted"]) assert(data["fingerprint"] == privkey.fingerprint()) payload = privkey.decrypt(string_to_bytes(data["data"])) payload = json.loads(payload) assert(payload["sign_with_service_key"] == privkey.fingerprint()) assert(payload["encryption_public_key"] == bytes_to_string(pubkey.bytes())) assert(payload["payload"] == args) (f, unpacked, keys) = unpack_arguments(function=func, args=packed, key=privkey) message = {"message": "OK"} return_value = create_return_value(message) packed_result = pack_return_value(function=func, payload=return_value, key=keys, private_cert=privkey) result = json.loads(packed_result.decode("utf-8")) assert(result["fingerprint"] == privkey.fingerprint()) assert(result["encrypted"]) data = string_to_bytes(result["data"]) sig = string_to_bytes(result["signature"]) pubkey.verify(signature=sig, message=data) data = json.loads(privkey.decrypt(data)) assert(data["payload"]["return"] == message) result = unpack_return_value(return_value=packed_result, key=privkey, public_cert=pubkey) assert(result == message) try: return_value = create_return_value(_foo()) except Exception as e: return_value = create_return_value(e) packed_result = pack_return_value(function=func, payload=return_value, key=keys, private_cert=privkey) with pytest.raises(PermissionError): result = unpack_return_value(function=func, return_value=packed_result, key=privkey, public_cert=pubkey)

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from django.shortcuts import render,redirect from django.contrib.auth import authenticate , login , get_user_model from django.conf import settings # Create your views here. from cart.models import cart from products.models import product from products.models import product from orders.models import orders from ecommerce.forms import login_page,GuestForm from billing.models import billing from Address.models import Address from Guest.models import Guest from django.urls import reverse from Address.forms import AdressForm,UsePrevAdd from django.http import JsonResponse import json user=get_user_model() def cart_view_API(request): cart_obj = cart.objects.get_or_create(request) product = cart_obj.products.all() product_list=[] for x in product: product_list.append({"name":x.Name,"price":x.price,"url":x.get_absolute_url(),"id":x.id}) return JsonResponse({ "product": product_list, "cart_total": cart_obj.total, "cart_subtotal":cart_obj.subtotal }) def cart_view(request): # i have created a function in the carts.models and i will call it instead of implementing it here. cart_obj=cart.objects.get_or_create(request) return render(request,"carts/home.html",{"cart_obj":cart_obj}) def cart_update(request): prod_obj=product.objects.get_by_id(id=request.POST.get('product_id')) cart_obj = cart.objects.get_or_create(request) if prod_obj in cart_obj.products.all(): cart_obj.products.remove(prod_obj) added=False else: cart_obj.products.add(prod_obj) added=True request.session['cart_items']=cart_obj.products.count() if request.is_ajax(): # will return json format print("Ajax is working ") json_data={ "added":added, "cart_items_count":request.session.get("cart_items",0) } return JsonResponse(json_data) return redirect("cart:show") # need to modify this return def checkout_view(request): cart_obj = cart.objects.get_or_create(request) order_obj=None Address_qs=None prev_form_shipping = None prev_form_billing = None Shipping_Address_qs = None Billing_Address_qs = None loginform = login_page(request.POST or None) guestform = GuestForm(request.POST or None) adressForm = AdressForm(request.POST or None) has_card = None # change =None billing_profile= billing.objects.get_or_new(request) if billing_profile is not None: order_obj, order_created = orders.objects.get_or_new(billing_profile, cart_obj) order_obj.Associate_orders_to_Addresses(request) if request.user.is_authenticated: Address_qs=Address.objects.filter(billing=billing_profile) Shipping_Address_qs = Address_qs.filter(Address_Type='shipping').values('id','Address_line_1','State','Postal_Code','city').distinct() #values('id','Address_line_1','State','Postal_Code','city') --> i have added the id beacuse we need to save the id of the address #but if the addresses all have the same values, this query will return the same addresses even we make ditinct beacuse their ids are different #so the user have to add different address to return different ones, if Shipping_Address_qs: prev_form_shipping = UsePrevAdd(request.POST or None,initial={'Address_Type':'shipping'}) Billing_Address_qs = Address_qs.filter(Address_Type='billing').values('id','Address_line_1','State','Postal_Code','city').distinct() if Billing_Address_qs: prev_form_billing = UsePrevAdd(request.POST or None,initial={'Address_Type':'billing'}) # if 'change' in request.build_absolute_uri(): # print('changes') # change =True # return redirect("cart:checkout") has_card=billing_profile.has_card # get the active cards if request.method=="POST" and not request.is_ajax(): #came from checkout() function when user entered all addresses and payement method, last step is_done = order_obj.check_orders() if is_done: did_charge = billing_profile.process_charge(order_obj=order_obj) if did_charge: order_obj.mark_paid() del request.session['cart_id'] request.session['cart_items'] = 0 # if not billing_profile.user: #not means false or None # is None means None only this for guest user # billing_profile.set_card_inactive return redirect("cart:success") return redirect("cart:checkout") context={ "cart_obj":cart_obj, "object": order_obj, "billing_profile":billing_profile, "loginpage":loginform, "guestform":guestform, "addressform":adressForm, 'prev_form_shipping':prev_form_shipping, 'prev_form_billing': prev_form_billing, "Address_qs":Address_qs, 'Shipping_Address_qs':Shipping_Address_qs, 'Billing_Address_qs':Billing_Address_qs, "has_card":has_card, # 'change':change, "public_key":getattr(settings,'STRIPE_PUB_Key','pk_test_UmKYvEdkBYpow9jUa9gloSTC') } return render(request,"carts/checkout.html",context) def checkout_done(request): return render(request, "carts/success.html", {})

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# -*- coding: utf-8 -*- # Generated by Django 1.10.6 on 2017-08-21 06:42 from __future__ import unicode_literals import django.db.models.deletion from django.conf import settings from django.db import migrations, models import blog class Migration(migrations.Migration): dependencies = [ ('blog', '0008_auto_20170430_1033'), ] operations = [ migrations.AlterField( model_name='category', name='cover', field=models.ImageField(blank=True, upload_to='covers/categories/%Y/%m/%d/', verbose_name='cover'), ), migrations.AlterField( model_name='category', name='cover_caption', field=models.CharField(blank=True, max_length=255, verbose_name='cover caption'), ), migrations.AlterField( model_name='category', name='created', field=models.DateTimeField(auto_now_add=True, verbose_name='creation time'), ), migrations.AlterField( model_name='category', name='creator', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL, verbose_name='creator'), ), migrations.AlterField( model_name='category', name='description', field=models.TextField(blank=True, verbose_name='description'), ), migrations.AlterField( model_name='category', name='genre', field=models.PositiveSmallIntegerField(choices=[(1, 'collection'), (2, 'tutorial')], default=1, verbose_name='genre'), ), migrations.AlterField( model_name='category', name='name', field=models.CharField(max_length=100, verbose_name='name'), ), migrations.AlterField( model_name='category', name='resource', field=models.URLField(blank=True, verbose_name='resource'), ), migrations.AlterField( model_name='category', name='slug', field=models.SlugField(unique=True, verbose_name='slug'), ), migrations.AlterField( model_name='category', name='status', field=models.PositiveSmallIntegerField(blank=True, choices=[(1, 'ongoing'), (2, 'finished')], null=True, verbose_name='status'), ), migrations.AlterField( model_name='category', name='title', field=models.CharField(blank=True, max_length=255, verbose_name='title'), ), migrations.AlterField( model_name='post', name='author', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL, verbose_name='author'), ), migrations.AlterField( model_name='post', name='body', field=models.TextField(verbose_name='body'), ), migrations.AlterField( model_name='post', name='category', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, to='blog.Category', verbose_name='category'), ), migrations.AlterField( model_name='post', name='cover', field=models.ImageField(blank=True, upload_to=blog.models.post_cover_path, verbose_name='cover'), ), migrations.AlterField( model_name='post', name='created_time', field=models.DateTimeField(auto_now_add=True, verbose_name='creation time'), ), migrations.AlterField( model_name='post', name='excerpt', field=models.CharField(blank=True, max_length=255, verbose_name='excerpt'), ), migrations.AlterField( model_name='post', name='modified_time', field=models.DateTimeField(auto_now=True, verbose_name='modification time'), ), migrations.AlterField( model_name='post', name='pub_date', field=models.DateTimeField(blank=True, null=True, verbose_name='publication time'), ), migrations.AlterField( model_name='post', name='status', field=models.PositiveSmallIntegerField(choices=[(1, 'published'), (2, 'draft'), (3, 'hidden')], default=2, verbose_name='status'), ), migrations.AlterField( model_name='post', name='tags', field=models.ManyToManyField(blank=True, to='blog.Tag', verbose_name='tags'), ), migrations.AlterField( model_name='post', name='title', field=models.CharField(max_length=255, verbose_name='title'), ), migrations.AlterField( model_name='post', name='views', field=models.PositiveIntegerField(default=0, editable=False, verbose_name='views'), ), migrations.AlterField( model_name='tag', name='name', field=models.CharField(max_length=100, verbose_name='name'), ), ]

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#!/usr/bin/python """ PN-CLI vrouter-ospf-add/remove """ # # This file is part of Ansible # # Ansible is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # Ansible is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License # along with Ansible. If not, see <http://www.gnu.org/licenses/>. # ANSIBLE_METADATA = {'metadata_version': '1.1', 'status': ['preview'], 'supported_by': 'community'} DOCUMENTATION = """ --- module: pn_ospfarea author: "Pluribus Networks (@amitsi)" version_added: "2.2" short_description: CLI command to add/remove ospf area to/from a vrouter. description: - Execute vrouter-ospf-add, vrouter-ospf-remove command. - This command adds/removes Open Shortest Path First(OSPF) area to/from a virtual router(vRouter) service. options: pn_cliusername: description: - Login username. required: true pn_clipassword: description: - Login password. required: true pn_cliswitch: description: - Target switch(es) to run the CLI on. required: False state: description: - State the action to perform. Use 'present' to add ospf-area, 'absent' to remove ospf-area and 'update' to modify ospf-area. required: true choices: ['present', 'absent', 'update'] pn_vrouter_name: description: - Specify the name of the vRouter. required: true pn_ospf_area: description: - Specify the OSPF area number. required: true pn_stub_type: description: - Specify the OSPF stub type. choices: ['none', 'stub', 'stub-no-summary', 'nssa', 'nssa-no-summary'] pn_prefix_listin: description: - OSPF prefix list for filtering incoming packets. pn_prefix_listout: description: - OSPF prefix list for filtering outgoing packets. pn_quiet: description: - Enable/disable system information. required: false default: true """ EXAMPLES = """ - name: "Add OSPF area to vrouter" pn_ospfarea: state: present pn_cliusername: admin pn_clipassword: admin pn_ospf_area: 1.0.0.0 pn_stub_type: stub - name: "Remove OSPF from vrouter" pn_ospf: state: absent pn_cliusername: admin pn_clipassword: admin pn_vrouter_name: name-string pn_ospf_area: 1.0.0.0 """ RETURN = """ command: description: The CLI command run on the target node(s). returned: always type: str stdout: description: The set of responses from the ospf command. returned: always type: list stderr: description: The set of error responses from the ospf command. returned: on error type: list changed: description: Indicates whether the CLI caused changes on the target. returned: always type: bool """ import shlex def get_command_from_state(state): """ This method gets appropriate command name for the state specified. It returns the command name for the specified state. :param state: The state for which the respective command name is required. """ command = None if state == 'present': command = 'vrouter-ospf-area-add' if state == 'absent': command = 'vrouter-ospf-area-remove' if state == 'update': command = 'vrouter-ospf-area-modify' return command def main(): """ This section is for arguments parsing """ module = AnsibleModule( argument_spec=dict( pn_cliusername=dict(required=True, type='str'), pn_clipassword=dict(required=True, type='str', no_log=True), pn_cliswitch=dict(required=False, type='str'), state=dict(required=True, type='str', choices=['present', 'absent', 'update']), pn_vrouter_name=dict(required=True, type='str'), pn_ospf_area=dict(required=True, type='str'), pn_stub_type=dict(type='str', choices=['none', 'stub', 'nssa', 'stub-no-summary', 'nssa-no-summary']), pn_prefix_listin=dict(type='str'), pn_prefix_listout=dict(type='str'), pn_quiet=dict(type='bool', default='True') ) ) # Accessing the arguments cliusername = module.params['pn_cliusername'] clipassword = module.params['pn_clipassword'] cliswitch = module.params['pn_cliswitch'] state = module.params['state'] vrouter_name = module.params['pn_vrouter_name'] ospf_area = module.params['pn_ospf_area'] stub_type = module.params['pn_stub_type'] prefix_listin = module.params['pn_prefix_listin'] prefix_listout = module.params['pn_prefix_listout'] quiet = module.params['pn_quiet'] command = get_command_from_state(state) # Building the CLI command string cli = '/usr/bin/cli' if quiet is True: cli += ' --quiet ' cli += ' --user %s:%s ' % (cliusername, clipassword) if cliswitch: if cliswitch == 'local': cli += ' switch-local ' else: cli += ' switch ' + cliswitch cli += ' %s vrouter-name %s area %s ' % (command, vrouter_name, ospf_area) if stub_type: cli += ' stub-type ' + stub_type if prefix_listin: cli += ' prefix-list-in ' + prefix_listin if prefix_listout: cli += ' prefix-list-out ' + prefix_listout # Run the CLI command ospfcommand = shlex.split(cli) # 'out' contains the output # 'err' contains the error messages result, out, err = module.run_command(ospfcommand) # Response in JSON format if result != 0: module.exit_json( command=cli, stderr=err.rstrip("\r\n"), changed=False ) else: module.exit_json( command=cli, stdout=out.rstrip("\r\n"), changed=True ) # AnsibleModule boilerplate from ansible.module_utils.basic import AnsibleModule if __name__ == '__main__': main()

[ "sifang@cisco.com" ]

sifang@cisco.com

52c0c13d7052ae235e036a5de1bc4bb4f2f89261

a5a3ccf9feae3f5aa475153d92447f8f3ba8c013

/data/kcbot.py

b5e78e6669e62e23f0901827fbc01946a7740baa

[]

no_license

waldenven/tsdata

2a309d976ce2994c7cca8ad91e6287cb8180b8cf

a4229b7978f4c14ffc2201ea38a1a44e68dec130

refs/heads/master

2020-06-13T22:42:45.334001

2012-07-03T03:42:01

null

0

null

UTF-8

Python

false

2,369

py

import urllib, re from datetime import datetime from pandas import DataFrame, Series, read_csv from BeautifulSoup import BeautifulSoup from tsdata.data.basedata import basedata def all_daily_urls(): url = 'http://www.kcbt.com/daily_wheat_price.asp' f = urllib.urlopen(url) txt = f.read() f.close() soup = BeautifulSoup(txt) ts = soup.findAll('table', { 'border' : 1, 'cellpadding' : "3", 'align' :"center", 'width' : "50%"}) tds = soup.findAll('td', width='33%', nowrap='nowrap') return map(lambda x: x.a['href'], tds) def one_date(url): f = urllib.urlopen(url) df = read_csv(f) df =df.rename(columns=lambda x: x.strip().lower()).dropna() df['date'] = map(lambda x: datetime.strptime(x.strip(), '%m/%d/%Y').date(), df['date']) for col in df.columns: if col not in ['exch', 'comid', 'date']: df[col] = map(lambda x: float(x), df[col]) elif col in ['exch', 'comid']: df[col] = map(lambda x: x.strip(), df[col]) df['LYY'] = map(lambda m,y: 'FGHJKMNQUVXZ'[int(m-1)] + '%02d' % (y), df['month'], df['year']) return df class kcbotfuts(basedata): archivename = 'kcbot.pickle' tag = 'f' chunktype = 'DAY' earliest = datetime(2011,11,16) _cache = None _changed = False _updated = False _scaling = { k:0.01 for k in [ 'previous', 'open', 'high', 'low', 'close', 'settle' ] } # to match CBOT def handles(self, symbol): l = len(self.tag) + 1 + 2 return symbol[:l].lower() == self.tag + '_' + 'kw' def parsesymbol(self, symbol): synre = re.compile('%s_([^@_]*)_([^@]*)@(.*)' % self.tag ) synrenoat = re.compile('%s_([^@_]*)_([^@]*)' % self.tag ) m = synre.match( symbol ) if m: commod = m.group(1) month = m.group(2) tag = m.group(3) else: m = synrenoat.match( symbol ) commod = m.group(1) month = m.group(2) tag = 'settle' commod = commod.upper() return { 'column' : tag, 'filter' : { 'comid' : commod, 'LYY' : month } } def _updateday(self, din): df = DataFrame() url = 'http://www.kcbt.com/download/kcprccsv/kcprccsv_%4d%02d%02d.csv' % (din.year, din.month, din.day) return one_date(url)

[ "none@none.com" ]

none@none.com

9f73be10103f40ed4d479780397977619122dcb9

9947d1e328a3262a35a61385dc537c3dc557ab7d

/pythonnet/day3_PM/day3/recv_file.py

db7d06884dc73ce18d8d0d17c294d3419bf2c549

[]

no_license

nuass/lzh

d0a7c74a3295523d1fe15eeaa73997fc04469f06

3cb1cf1e448b88ade226d113a7da4eab7bbb5c09

refs/heads/master

2021-02-06T06:10:32.772831

2019-06-10T08:54:49

null

0

null

UTF-8

Python

false

268

py

from socket import * s = socket() s.bind(('127.0.0.1',8888)) s.listen(3) c,addr = s.accept() print("Connect from",addr) f = open('leg.jpg','wb') while True: data = c.recv(1024) if not data: break f.write(data) f.close() c.close() s.close()

[ "1581627402@qq.com" ]

1581627402@qq.com

3bacc8c066e42bc4d4187216f852f631b9e01070

e21ab91cf22bf8359831e974d49e1fd90b69197a

/tests/conftest.py

3208b58757a89871d4e97393c3db78b2a76d169c

[ "BSD-3-Clause" ]

permissive

creamofclubs/odin

9be21013a7d707aee978e83bc2cb9ef70f81befa

deb00b6af56d319a3e11f71dbee7d217c8713fae

refs/heads/master

2023-08-12T04:06:34.791245

2021-09-06T03:11:55

null

0

null

UTF-8

Python

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py

import os import sys import datetime HERE = os.path.abspath(os.path.dirname(__file__)) SRC = os.path.normpath(os.path.join(HERE, "..", "src")) sys.path.insert(0, SRC) import odin.datetimeutil ARE_YOU_EXPERIENCED = datetime.date(1967, 5, 12) MWT = odin.datetimeutil.FixedTimezone(-6, "Mountain War Time") BOOM = datetime.datetime(1945, 7, 16, 5, 29, 45, 0, MWT)

[ "tim@savage.company" ]

tim@savage.company

28248168d3c9bf357c416aec52b917287ae926cf

158a327c3cbff52a607d4ec668c658f0d8d8eea8

/DP/55. Jump Game.py

13c37440c5ef1d510135f5ac8ff8bfe1773f858b

[]

no_license

smartwell/leet_niuke

f11cbf826f9b2b358b614a63200e93aef47054a2

eb84aaa1248074dceda831f9385d68a24941fa04

refs/heads/master

2020-06-24T16:37:33.073534

2019-07-25T13:19:49

null

0

null

UTF-8

Python

false

1,648

py

########################45########################## def Jump(nums): #想象成这一步所能跳跃的范围，若最后终点在范围内则为最佳点采用贪心算法最优避免DP规划导致多余计算 n,fir,end,count=len(nums),0,0,0 #count计步器思路：fir0,end0中找到使其跳的最远的作为end1,fir1=end0+1,依照此规律知道某段firn,endn中的数超过n-1 while end < n-1: #n-1表示从0到len（nums）要完成的最少跳跃步数 count = count + 1 maxend = end + 1 for i in range(fir, end+1): if i + nums[i] >= n - 1: return count maxend = max(i + nums[i], maxend) fir, end = end + 1 , maxend #下一轮的开始为上一轮while循环的结束 return count def Jump2(nums): #####以上程序碰到列表中有0的数则可能出现问题 last, cur, step = 0, 0, 0 n = len(nums) for i in range(n): if i > last: step += 1 last = cur cur = max(cur, i + nums[i]) return step ##############################55############################### def canJump(nums): maxend = 0 for i in range(len(nums)): #前序遍历 if i > maxend: return False maxend = max(i+nums[i],maxend) return True def canJump2(nums): n = len(nums) -1 goal = nums[n] for i in range(n,-1,-1): #后序遍历 if i + nums[i] >= goal: goal = i return not goal if __name__ == '__main__': nums = [0,2,3] nums2 = [3,2,1,0,4] print(canJump(nums))

[ "w5802022@gmail.com" ]

w5802022@gmail.com

c7e9e9554266187a384876586f55b405a1471944

9fd934751ef1d332b792d204df0757ed91f36ef6

/route66_project/route66/views.py

b3e6cee4b0f257ed94d9ee9aff83c33beaa4838e

[]

no_license

cs-fullstack-2019-spring/django-intro2-routes-cw-cgarciapieto

e55fa7a7b4c9ef317b9c6e3db1a8ba8eaea7602c

f232f3125fce93c03e687940e10b22280ba1d0d0

refs/heads/master

2020-04-23T23:57:22.501082

2019-02-20T05:04:38

171,550,878

0

null

UTF-8

Python

false

468

py

from django.shortcuts import render # Create your views here. from django.http import HttpResponse # http response function def goods(request): return HttpResponse("Here you go, POKEMON FOREVER") def joy(request): return HttpResponse("This song drives me nuts") def index(request): return HttpResponse("the goods or song of death") # challenge variable is passed in def response(request): return HttpResponse(challenge) challenge =("I heard you")

[ "cgarciapieto@gmail.com" ]

cgarciapieto@gmail.com

189c925a75f59f6b8ae9d4cfeb0648a69fcff9a5

15f321878face2af9317363c5f6de1e5ddd9b749

/solutions_python/Problem_199/388.py

94106f5f14c7292d2212da973bc6701dbe2060af

[]

no_license

dr-dos-ok/Code_Jam_Webscraper

c06fd59870842664cd79c41eb460a09553e1c80a

26a35bf114a3aa30fc4c677ef069d95f41665cc0

refs/heads/master

2020-04-06T08:17:40.938460

2018-10-14T10:12:47

null

0

null

UTF-8

Python

false

374

py

def solve(s, k): s = list(s) k = int(k) ans = 0 while s: if s.pop() != '+': if len(s) < k - 1: return "IMPOSSIBLE" for i in range(1, k): s[-i] = '-' if s[-i] == '+' else '+' ans += 1 return ans for i in range(1, int(input()) + 1): print("Case #", i, ": ", solve(*input().split()), sep='')

[ "miliar1732@gmail.com" ]

miliar1732@gmail.com

6498e8c2aa931f3faecf9b2f1027d5f19f53e176

d24a6e0be809ae3af8bc8daa6dacfc1789d38a84

/other_contests/PAST2019/I.py

1fe31e281c0bf9947e3edece5bda7e352ee8a741

[]

no_license

k-harada/AtCoder

5d8004ce41c5fc6ad6ef90480ef847eaddeea179

02b0a6c92a05c6858b87cb22623ce877c1039f8f

refs/heads/master

2023-08-21T18:55:53.644331

2023-08-05T14:21:25

184,904,794

9

0

null

2023-05-22T16:29:18

2019-05-04T14:24:18

Python

UTF-8

Python

false

1,051

py

def solve(n, m, s_list, c_list): dp = [[sum(c_list) + 1] * (2 ** n) for _ in range(m + 1)] dp[0][0] = 0 for i in range(m): k = 0 s = s_list[i] for p in range(n): if s[- p - 1] == "Y": k += 2 ** p c = c_list[i] for j in range(2 ** n): dp[i + 1][j] = dp[i][j] for j in range(2 ** n): dp[i + 1][j | k] = min(dp[i + 1][j | k], dp[i][j] + c) # print(dp) res = dp[m][2 ** n - 1] if res == sum(c_list) + 1: return -1 else: return res def main(): n, m = map(int, input().split()) s_list = [""] * m c_list = [0] * m for i in range(m): s, c = input().split() s_list[i] = s c_list[i] = int(c) res = solve(n, m, s_list, c_list) print(res) def test(): assert solve(3, 4, ["YYY", "YYN", "YNY", "NYY"], [100, 20, 10, 25]) == 30 assert solve(5, 4, ["YNNNN", "NYNNN", "NNYNN", "NNNYN"], [10, 10, 10, 10]) == -1 if __name__ == "__main__": test() main()

[ "cashfeg@gmail.com" ]

cashfeg@gmail.com

5fcafa9dc665d308fac15b10dc9dda4e4a8b26f0

45b64f620e474ac6d6b2c04fbad2730f67a62b8e

/Varsity-Final-Project-by-Django-master/.history/project/quiz/models_20210424121724.py

e9feec73e98c6b749012c04f069e8911025079ec

[]

no_license

ashimmitra/Final-Project

99de00b691960e25b1ad05c2c680015a439277e0

a3e1d3c9d377e7b95b3eaf4dbf757a84a3858003

refs/heads/master

2023-04-11T06:12:35.123255

2021-04-26T15:41:52

361,796,607

0

null

UTF-8

Python

false

2,603

py

from django.db import models # Create your models here. class Quiz(models.Model): question = models.CharField(max_length = 500) option1 = models.CharField(max_length = 20) option2 = models.CharField(max_length = 20) option3 = models.CharField(max_length = 20) option4 = models.CharField(max_length = 20) answer = models.CharField(max_length = 20) class Bangla(models.Model): question = models.CharField(max_length = 500) option1 = models.CharField(max_length = 20) option2 = models.CharField(max_length = 20) option3 = models.CharField(max_length = 20) option4 = models.CharField(max_length = 20) answer = models.CharField(max_length = 20) class Math(models.Model): question = models.CharField(max_length = 500) option1 = models.CharField(max_length = 20) option2 = models.CharField(max_length = 20) option3 = models.CharField(max_length = 20) option4 = models.CharField(max_length = 20) answer = models.CharField(max_length = 20) class Science(models.Model): question = models.CharField(max_length = 500) option1 = models.CharField(max_length = 20) option2 = models.CharField(max_length = 20) option3 = models.CharField(max_length = 20) option4 = models.CharField(max_length = 20) answer = models.CharField(max_length = 20) class GK(models.Model): question = models.CharField(max_length = 500) option1 = models.CharField(max_length = 20) option2 = models.CharField(max_length = 20) option3 = models.CharField(max_length = 20) option4 = models.CharField(max_length = 20) answer = models.CharField(max_length = 20) class Mat(models.Model): question = models.CharField(max_length = 500) option1 = models.CharField(max_length = 20) option2 = models.CharField(max_length = 20) option3 = models.CharField(max_length = 20) option4 = models.CharField(max_length = 20) answer = models.CharField(max_length = 20) class Sci(models.Model): question = models.CharField(max_length = 500) option1 = models.CharField(max_length = 20) option2 = models.CharField(max_length = 20) option3 = models.CharField(max_length = 20) option4 = models.CharField(max_length = 20) answer = models.CharField(max_length = 20) class GNK(models.Model): question = models.CharField(max_length = 500) option1 = models.CharField(max_length = 20) option2 = models.CharField(max_length = 20) option3 = models.CharField(max_length = 20) option4 = models.CharField(max_length = 20) answer = models.CharField(max_length = 20)

[ "34328617+ashimmitra@users.noreply.github.com" ]

34328617+ashimmitra@users.noreply.github.com

1d1d26c8fc8487564347ded0561a2639a59ac73e

2fc1e3382ae1024b008004ef6302914b492f51e1

/cos/models/const.py

ce15e48b226aeb7293242c88f466838c589fd636

[]

no_license

tclh123/COS

abf475b32cb45e6f099508675a8138dd2211e963

7e4843fbfe67f7e795eccffc3b48270b152ba438

refs/heads/master

2016-09-15T21:43:55.956184

2014-01-04T17:46:50

15,521,178

2

0

null

UTF-8

Python

false

395

py

# coding=utf-8 PERM_BASIC = 0b001 PERM_ADMIN = 0b010 PERM_DELIVERY = 0b100 ORDER_STATUS_SUBMIT = 1 ORDER_STATUS_PAY = 2 ORDER_STATUS_WAIT = 3 ORDER_STATUS_DELIVERY = 4 ORDER_STATUS_OVER = 5 # '待买家完善订单后提交' # '待买家付款' # '待餐厅处理' # '待送餐员送餐' # '订单结束' PAYMENT = { u'货到付款': 1, u'工资支付': 2, u'网上支付': 3, }

[ "tclh123@gmail.com" ]

tclh123@gmail.com

eea2161b70cf5a3ecfebef0a04cfa64e7e059291

9743d5fd24822f79c156ad112229e25adb9ed6f6

/xai/brain/wordbase/adjectives/_corrective.py

fc4041522f6dce91bdc98602bc6f91a6cf0a525b

[ "MIT" ]

permissive

cash2one/xai

de7adad1758f50dd6786bf0111e71a903f039b64

e76f12c9f4dcf3ac1c7c08b0cc8844c0b0a104b6

refs/heads/master

2021-01-19T12:33:54.964379

2017-01-28T02:00:50

null

0

null

UTF-8

Python

false

477

py

#calss header class _CORRECTIVE(): def __init__(self,): self.name = "CORRECTIVE" self.definitions = [u'intended to improve a situation: ', u'used to refer to something that is intended to cure a medical condition: '] self.parents = [] self.childen = [] self.properties = [] self.jsondata = {} self.specie = 'adjectives' def run(self, obj1, obj2): self.jsondata[obj2] = {} self.jsondata[obj2]['properties'] = self.name.lower() return self.jsondata

[ "xingwang1991@gmail.com" ]

xingwang1991@gmail.com

9d42ae4909b6084829161c508e2a65ffa42c2b2a

a9e3b2e87563acf39ce74c5e57aa4ad5c13404bf

/cartridge/shop/admin.py

2cae83122ba67a49a11d3d4dce0a7b0f2428ceaf

[ "BSD-3-Clause" ]

permissive

CDC/cartridge

40cf531f2912637f9bde261baf6b52e94aed388f

b9229617bbf054f1958bf5f2fadaf523d5d72522

refs/heads/master

2021-01-20T23:37:26.759210

2011-12-19T23:30:15

null

0

null

UTF-8

Python

false

7,718

py

from copy import deepcopy from django.contrib import admin from django.db.models import ImageField from django.utils.translation import ugettext_lazy as _ from mezzanine.core.admin import DisplayableAdmin, TabularDynamicInlineAdmin from mezzanine.pages.admin import PageAdmin from cartridge.shop.fields import MoneyField from cartridge.shop.forms import ProductAdminForm, ProductVariationAdminForm from cartridge.shop.forms import ProductVariationAdminFormset from cartridge.shop.forms import DiscountAdminForm, ImageWidget, MoneyWidget from cartridge.shop.models import Category, Product, ProductImage from cartridge.shop.models import ProductVariation, ProductOption, Order from cartridge.shop.models import OrderItem, Sale, DiscountCode # Lists of field names. option_fields = [f.name for f in ProductVariation.option_fields()] billing_fields = [f.name for f in Order._meta.fields if f.name.startswith("billing_detail")] shipping_fields = [f.name for f in Order._meta.fields if f.name.startswith("shipping_detail")] category_fieldsets = deepcopy(PageAdmin.fieldsets) category_fieldsets[0][1]["fields"][3:3] = ["content"] # , "products"] category_fieldsets += ((_("Product filters"), { "fields": ("options", "sale", ("price_min", "price_max"), "combined"), "classes": ("collapse-closed",)},),) class CategoryAdmin(PageAdmin): fieldsets = category_fieldsets formfield_overrides = {ImageField: {"widget": ImageWidget}} filter_horizontal = ("options",) # "products", ) class ProductVariationAdmin(admin.TabularInline): verbose_name_plural = _("Current variations") model = ProductVariation fields = ("sku", "default", "num_in_stock", "unit_price", "sale_price", "sale_from", "sale_to", "image") extra = 0 formfield_overrides = {MoneyField: {"widget": MoneyWidget}} form = ProductVariationAdminForm formset = ProductVariationAdminFormset class ProductImageAdmin(TabularDynamicInlineAdmin): model = ProductImage formfield_overrides = {ImageField: {"widget": ImageWidget}} product_fieldsets = deepcopy(DisplayableAdmin.fieldsets) product_fieldsets[0][1]["fields"].extend(["available", "categories", "content"]) product_fieldsets = list(product_fieldsets) product_fieldsets.append((_("Other products"), {"classes": ("collapse-closed",), "fields": ("related_products", "upsell_products")})) product_fieldsets.insert(1, (_("Create new variations"), {"classes": ("create-variations",), "fields": option_fields})) class ProductAdmin(DisplayableAdmin): list_display = ("admin_thumb", "title", "status", "available", "admin_link") list_display_links = ("admin_thumb", "title") list_editable = ("status", "available") list_filter = ("status", "available", "categories") filter_horizontal = ("categories", "related_products", "upsell_products") search_fields = ("title", "content", "categories__title", "variations__sku") inlines = (ProductImageAdmin, ProductVariationAdmin) form = ProductAdminForm fieldsets = product_fieldsets def save_model(self, request, obj, form, change): """ Store the product object for creating variations in save_formset. """ super(ProductAdmin, self).save_model(request, obj, form, change) self._product = obj def save_formset(self, request, form, formset, change): """ Create variations for selected options if they don't exist, manage the default empty variation creating it if no variations exist or removing it if multiple variations exist, and copy the pricing and image fields from the default variation to the product. """ super(ProductAdmin, self).save_formset(request, form, formset, change) if isinstance(formset, ProductVariationAdminFormset): options = dict([(f, request.POST.getlist(f)) for f in option_fields if request.POST.getlist(f)]) self._product.variations.create_from_options(options) self._product.variations.manage_empty() self._product.copy_default_variation() class ProductOptionAdmin(admin.ModelAdmin): ordering = ("type", "name") list_display = ("type", "name") list_display_links = ("type",) list_editable = ("name",) list_filter = ("type",) search_fields = ("type", "name") radio_fields = {"type": admin.HORIZONTAL} class OrderItemInline(admin.TabularInline): verbose_name_plural = _("Items") model = OrderItem extra = 0 formfield_overrides = {MoneyField: {"widget": MoneyWidget}} class OrderAdmin(admin.ModelAdmin): ordering = ("status", "-id") list_display = ("id", "billing_name", "total", "time", "status", "transaction_id", "invoice") list_editable = ("status",) list_filter = ("status", "time") list_display_links = ("id", "billing_name",) search_fields = (["id", "status", "transaction_id"] + billing_fields + shipping_fields) date_hierarchy = "time" radio_fields = {"status": admin.HORIZONTAL} inlines = (OrderItemInline,) formfield_overrides = {MoneyField: {"widget": MoneyWidget}} fieldsets = ( (_("Billing details"), {"fields": (tuple(billing_fields),)}), (_("Shipping details"), {"fields": (tuple(shipping_fields),)}), (None, {"fields": ("additional_instructions", ("shipping_total", "shipping_type"), ("discount_total", "discount_code"), "item_total", ("total", "status"), "transaction_id")}), ) class SaleAdmin(admin.ModelAdmin): list_display = ("title", "active", "discount_deduct", "discount_percent", "discount_exact", "valid_from", "valid_to") list_editable = ("active", "discount_deduct", "discount_percent", "discount_exact", "valid_from", "valid_to") filter_horizontal = ("categories", "products") formfield_overrides = {MoneyField: {"widget": MoneyWidget}} form = DiscountAdminForm fieldsets = ( (None, {"fields": ("title", "active")}), (_("Apply to product and/or products in categories"), {"fields": ("products", "categories")}), (_("Reduce unit price by"), {"fields": (("discount_deduct", "discount_percent", "discount_exact"),)}), (_("Sale period"), {"fields": (("valid_from", "valid_to"),)}), ) class DiscountCodeAdmin(admin.ModelAdmin): list_display = ("title", "active", "code", "discount_deduct", "discount_percent", "min_purchase", "free_shipping", "valid_from", "valid_to") list_editable = ("active", "code", "discount_deduct", "discount_percent", "min_purchase", "free_shipping", "valid_from", "valid_to") filter_horizontal = ("categories", "products") formfield_overrides = {MoneyField: {"widget": MoneyWidget}} form = DiscountAdminForm fieldsets = ( (None, {"fields": ("title", "active", "code")}), (_("Apply to product and/or products in categories"), {"fields": ("products", "categories")}), (_("Reduce unit price by"), {"fields": (("discount_deduct", "discount_percent"),)}), (None, {"fields": (("min_purchase", "free_shipping"),)}), (_("Valid for"), {"fields": (("valid_from", "valid_to"),)}), ) admin.site.register(Category, CategoryAdmin) admin.site.register(Product, ProductAdmin) admin.site.register(ProductOption, ProductOptionAdmin) admin.site.register(Order, OrderAdmin) admin.site.register(Sale, SaleAdmin) admin.site.register(DiscountCode, DiscountCodeAdmin)

[ "steve@jupo.org" ]

steve@jupo.org