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

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import argparse from typing import Optional from typing import Sequence def main(argv: Optional[Sequence[str]] = None) -> int: parser = argparse.ArgumentParser() parser.add_argument('filenames', nargs='*', help='Filenames to check') args = parser.parse_args(argv) retv = 0 for filename in args.filenames: with open(filename, 'rb') as f_b: bts = f_b.read(3) if bts == b'\xef\xbb\xbf': with open(filename, newline='', encoding='utf-8-sig') as f: contents = f.read() with open(filename, 'w', newline='', encoding='utf-8') as f: f.write(contents) print(f'{filename}: removed byte-order marker') retv = 1 return retv if __name__ == '__main__': exit(main())

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if __name__ == '__main__': def r(n): return ''.join(reversed(n)) out = 0 for i in range(1, 10**6): d = str(i) b = bin(i)[2:] if r(d) == d and r(b) == b: out += i print(out)

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#!/usr/bin/env python # # Author: Qiming Sun <osirpt.sun@gmail.com> # from pyscf import gto, dft ''' A simple example to run DFT calculation. See pyscf/dft/vxc.py for the complete list of available XC functional ''' mol = gto.Mole() mol.build( atom = 'H 0 0 0; F 0 0 1.1', # in Angstrom basis = '631g', symmetry = True, ) mydft = dft.RKS(mol) #mydft.xc = 'lda,vwn' #mydft.xc = 'lda,vwn_rpa' #mydft.xc = 'b86,p86' #mydft.xc = 'b88,lyp' #mydft.xc = 'b97,pw91' #mydft.xc = 'b3p86' #mydft.xc = 'o3lyp' mydft.xc = 'b3lyp' mydft.kernel() # Orbital energies, Mulliken population etc. mydft.analyze()

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# Copyright 2013 OpenStack Foundation. # # 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 oslo_db.sqlalchemy import utils from sqlalchemy import Column, String, Text from jacket.db.compute.sqlalchemy import api def upgrade(migrate_engine): actions_events = utils.get_table(migrate_engine, 'instance_actions_events') host = Column('host', String(255)) details = Column('details', Text) actions_events.create_column(host) actions_events.create_column(details) shadow_actions_events = utils.get_table(migrate_engine, api._SHADOW_TABLE_PREFIX + 'instance_actions_events') shadow_actions_events.create_column(host.copy()) shadow_actions_events.create_column(details.copy())

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# Generated by Django 3.2 on 2021-08-08 14:10 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('app', '0001_initial'), ] operations = [ migrations.CreateModel( name='Customer', fields=[ ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('phone', models.CharField(max_length=20, unique=True)), ('name', models.CharField(max_length=100)), ('address', models.CharField(max_length=200)), ], ), ]

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import sys import yaml import cv2 import numpy as np with open("data.yaml", "r") as stream: data = yaml.load(stream) mtx = data["camera_matrix"] mtx = np.asarray(mtx) dist = data["dist_coeff"] dist = np.asarray(dist) imagePath = sys.argv[1] img = cv2.imread(imagePath) h, w = img.shape[:2] cv2.imshow("preview", img) cv2.waitKey(0) # get undistort matrix and pixel matrix newcameramtx, roi = cv2.getOptimalNewCameraMatrix(mtx, dist, (w, h), 1, (w, h)) print("===================================================") print("Valid Pixel ROI:") print roi print("===================================================") # undistort dst = cv2.undistort(img, mtx, dist, None, newcameramtx) # crop the image x,y,w,h = roi dst = dst[y:y+h, x:x+w] cv2.imshow("undistort", dst) cv2.imwrite('img/undistort.jpg', dst) cv2.waitKey(0) cv2.destroyAllWindows()

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import numpy as np import cv2 import sys from time import time import kcftracker selectingObject = False initTracking = False onTracking = False ix, iy, cx, cy = -1, -1, -1, -1 w, h = 0, 0 inteval = 1 duration = 0.01 # mouse callback function def draw_boundingbox(event, x, y, flags, param): global selectingObject, initTracking, onTracking, ix, iy, cx,cy, w, h if event == cv2.EVENT_LBUTTONDOWN: selectingObject = True onTracking = False ix, iy = x, y cx, cy = x, y elif event == cv2.EVENT_MOUSEMOVE: cx, cy = x, y elif event == cv2.EVENT_LBUTTONUP: selectingObject = False if(abs(x-ix)>10 and abs(y-iy)>10): w, h = abs(x - ix), abs(y - iy) ix, iy = min(x, ix), min(y, iy) initTracking = True else: onTracking = False elif event == cv2.EVENT_RBUTTONDOWN: onTracking = False if(w>0): ix, iy = x-w/2, y-h/2 initTracking = True if __name__ == '__main__': if(len(sys.argv)==1): cap = cv2.VideoCapture(0) elif(len(sys.argv)==2): if(sys.argv[1].isdigit()): # True if sys.argv[1] is str of a nonnegative integer cap = cv2.VideoCapture(int(sys.argv[1])) else: cap = cv2.VideoCapture(sys.argv[1]) inteval = 30 else: assert(0), "too many arguments" tracker = kcftracker.KCFTracker(True, True, True) # hog, fixed_window, multiscale #if you use hog feature, there will be a short pause after you draw a first boundingbox, that is due to the use of Numba. cv2.namedWindow('tracking') cv2.setMouseCallback('tracking',draw_boundingbox) while(cap.isOpened()): ret, frame = cap.read() if not ret: break if(selectingObject): cv2.rectangle(frame,(ix,iy), (cx,cy), (0,255,255), 1) elif(initTracking): cv2.rectangle(frame,(ix,iy), (ix+w,iy+h), (0,255,255), 2) tracker.init([ix,iy,w,h], frame) initTracking = False onTracking = True elif(onTracking): t0 = time() boundingbox = tracker.update(frame) t1 = time() boundingbox = map(int, boundingbox) cv2.rectangle(frame,(boundingbox[0],boundingbox[1]), (boundingbox[0]+boundingbox[2],boundingbox[1]+boundingbox[3]), (0,255,255), 1) duration = 0.8*duration + 0.2*(t1-t0) #duration = t1-t0 cv2.putText(frame, 'FPS: '+str(1/duration)[:4].strip('.'), (8,20), cv2.FONT_HERSHEY_SIMPLEX, 0.6, (0,0,255), 2) cv2.imshow('tracking', frame) c = cv2.waitKey(inteval) & 0xFF if c==27 or c==ord('q'): break cap.release() cv2.destroyAllWindows()

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# 2016.02.14 12:50:05 Střední Evropa (běžný čas) # Embedded file name: scripts/common/Lib/plat-mac/Carbon/AH.py from _AH import * # okay decompyling c:\Users\PC\wotsources\files\originals\res_bw\scripts\common\lib\plat-mac\carbon\ah.pyc # decompiled 1 files: 1 okay, 0 failed, 0 verify failed # 2016.02.14 12:50:05 Střední Evropa (běžný čas)

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from types import TracebackType from typing import Optional, Sequence, Text, Type from maxminddb.reader import Metadata from geoip2.models import AnonymousIP, ASN, City, ConnectionType, Country, Domain, Enterprise, ISP _Locales = Optional[Sequence[Text]] class Reader: def __init__(self, filename: Text, locales: _Locales = ..., mode: int = ...) -> None: ... def __enter__(self) -> Reader: ... def __exit__(self, exc_type: Optional[Type[BaseException]] = ..., exc_val: Optional[BaseException] = ..., exc_tb: Optional[TracebackType] = ...) -> None: ... def country(self, ip_address: Text) -> Country: ... def city(self, ip_address: Text) -> City: ... def anonymous_ip(self, ip_address: Text) -> AnonymousIP: ... def asn(self, ip_address: Text) -> ASN: ... def connection_type(self, ip_address: Text) -> ConnectionType: ... def domain(self, ip_address: Text) -> Domain: ... def enterprise(self, ip_address: Text) -> Enterprise: ... def isp(self, ip_address: Text) -> ISP: ... def metadata(self) -> Metadata: ... def close(self) -> None: ...

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from matplotlib import pyplot from yt.mods import * import numpy as na def _H_NumberDensity(field, data): "Get total Hydrogen nuclei number density." if data.pf['MultiSpecies'] == 0: return (0.76 * data['Density']) fieldData = na.zeros(data['HI_Density'].shape, dtype=data['HI_Density'].dtype) if data.pf['MultiSpecies'] > 0: fieldData += data["HI_Density"] fieldData += data["HII_Density"] if data.pf["MultiSpecies"] > 1: fieldData += data["HM_Density"] fieldData += data["H2I_Density"] fieldData += data["H2II_Density"] if data.pf["MultiSpecies"] > 2: fieldData += data["HDI_Density"] / 3.0 return fieldData def _ConvertHNumberDensity(data): return (1 / 1.67e-24) add_field("H_NumberDensity", units=r"\rm{cm}^{-3}", function=_H_NumberDensity, convert_function=_ConvertHNumberDensity) def plot_cooling_rate(input_file, coordinates, axes, labels=None): "Plot cooling rate vs. T for various densities and metallicities." pf = load(input_file) grid = pf.h.grids[0] cooling = grid['Gas_Energy'] * grid['Density'] / grid['Cooling_Time'] / \ grid['H_NumberDensity']**2 for q, coord in enumerate(coordinates): if labels is None: my_coord = list(coord) my_coord.append(0) my_coord = tuple(my_coord) label = "log(n$_{\mathrm{H}}$/cm$^{-3}$) = %.1f, log(Z/Z$_{\odot}$) = %.1f" % \ (na.log10(grid['H_NumberDensity'][my_coord]), na.log10(grid['Metallicity'][my_coord])) else: label = labels[q] axes.loglog(grid['Temperature'][coord], cooling[coord], label=label) def plot_cooling_solutions(axes): """ Plot some known cooling rates: 1. CIE atomic H/He (Black 1981). 2. Z = 0.5, 1 Z_sun (Sarazin & White 1987). """ black1981 = file("primordial_cie.dat") t_hhe = [] c_hhe = [] for line in black1981: if not line.startswith('#') and len(line) > 1: online = line.split() t_hhe.append(float(online[0])) c_hhe.append(float(online[1])) t_hhe = na.power(10, t_hhe) c_hhe = na.power(10, c_hhe) sz1987 = file("cool_rates.in") t_sz = [] c1_sz = [] c2_sz = [] for line in sz1987: if not line.startswith('#') and len(line) > 1: online = line.split() t_sz.append(float(online[0])) c1_sz.append(float(online[1])) c2_sz.append(float(online[2])) t_sz = na.power(10, t_sz) c1_sz = na.power(10, c1_sz) c2_sz = na.power(10, c2_sz) #axes.loglog(t_sz, c2_sz, label='Z = 0.5 Z$_{\odot}$ (Sarazin & White 1987)') axes.loglog(t_sz, c1_sz, label='Z = Z$_{\odot}$ (Sarazin & White 1987)') axes.loglog(t_hhe, c_hhe, label='H/He (Black 1981)') pyplot.clf() axes = pyplot.axes() axes.set_xlabel('T [K]') axes.set_ylabel('$\Lambda/n_{H}^{2}$ [erg s$^{-1}$ cm$^{3}$]') plot_cooling_rate('DD0001/DD0001', [(1, 4)], axes, labels=['JHW, Z = Z$_{\odot}$']) plot_cooling_solutions(axes) axes.set_xlim(10, 1e8) axes.legend(prop=dict(size=10), loc='best') pyplot.savefig('cooling_rates.png')

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from _graph import * import numpy def _injectorClass(clsToExtend): class InjectorClass(object): class __metaclass__(clsToExtend.__class__): def __init__(self, name, bases, dict): for b in bases: if type(b) not in (self, type): for k,v in dict.items(): setattr(b,k,v) tmp = type.__init__(self, name, bases, dict) return InjectorClass _LiftedMcModelClasses = [ LiftedMcModelGridGraph2D,LiftedMcModelGridGraph3D,LiftedMcModelGraph ] for objCls in _LiftedMcModelClasses: class _MoreLiftedMcModel(_injectorClass(objCls),objCls): def setCosts(self, uv, costs, overwrite = True): _uv = numpy.require(uv, dtype='uint64') _costs = numpy.require(costs, dtype='float32') self._setCosts(_uv, _costs, bool(overwrite)) def gridGraph(shape): if len(shape) == 2: return GridGraph2D(int(shape[0]), int(shape[1])) elif len(shape) == 3: return GridGraph3D(int(shape[0]), int(shape[1]), int(shape[2])) else: raise RuntimeError("shape has wrong length, GridGraph is only exported to python for 2D and 3D grids") def liftedMcModel(graph): if isinstance(graph, GridGraph2D): return LiftedMcModelGridGraph2D(graph) elif isinstance(graph, GridGraph3D): return LiftedMcModelGridGraph3D(graph) elif isinstance(graph, Graph): return LiftedMcModelGraph(graph) else: raise RuntimeError("graph has wrong type")

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class car: def __init__(self,speed,color): self.speed=speed self.color=color def set_speed(self,value): self.speed=value def get_speed(self): return self.speed maruti=car(200,'blue') bmw=car(500,'black') TATA_safari=car(450,'maroon') print(TATA_safari.get_speed()) print(bmw.get_speed()) print(maruti.get_speed()) TATA_safari.speed=900 bmw.speed="NULL" print(TATA_safari.get_speed()) print(bmw.get_speed()) print(maruti.get_speed()) print("\n\n") # NOW DATA GETTING PROTECTION class car: def __init__(self,speed,color): self.__speed=speed # Making it Private self.__color=color # Making it Private def set_speed(self,value): self.__speed=value def get_speed(self): return self.__speed maruti=car(200,'blue') bmw=car(500,'black') TATA_safari=car(450,'maroon') print(TATA_safari.get_speed()) print(bmw.get_speed()) print(maruti.get_speed()) TATA_safari.speed=900 bmw.speed="NULL" print(TATA_safari.get_speed()) print(bmw.get_speed()) print(maruti.get_speed()) #clearly no security

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from seiya.db.job import Job, session from sqlalchemy.sql import func def analysis_top10_city(): city_list = session.query( Job.city, func.count(Job.city)).group_by( Job.city).order_by(func.count(Job.city).desc()).all() data = [{'name': i[0], 'amount': i[1]} for i in city_list][:10] return data def analysis_top10_wage(): salary_list = session.query(Job.city, func.avg( (Job.salary_upper + Job.salary_lower) / 2)).group_by( Job.city).order_by(func.avg( (Job.salary_upper + Job.salary_lower) / 2).desc()).all() data = [{'name' : i[0], 'salary': float(i[1])} for i in salary_list][:10] return data

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# ***************************************************************************** # ***************************************************************************** # # Name : wordindex.py # Purpose : Allocate each keyword a specific, final identifier ID. # Author : Paul Robson (paul@robsons.org.uk) # Date : 15th January 2020 # # ***************************************************************************** # ***************************************************************************** import re # ***************************************************************************** # # Create a hash mapping word to ID. # # ***************************************************************************** class WordIndex(object): def __init__(self): if WordIndex.INDEX is None: x = {} elements = self.raw().split("\n") for e in elements: m = re.match("^\\s*(\d+)\\s*\\:\\:\\:\\s*(.*)$",e) assert m is not None,"Bad line "+e assert m.group(2).strip() not in x,"Duplicate "+e x[m.group(2).strip()] = int(m.group(1)) WordIndex.INDEX = x def get(self): return WordIndex.INDEX # ***************************************************************************** # # RPL-C's word index. This is manually maintained and does not need # to be ordered. It does need to be consistent. # # ***************************************************************************** def raw(self): return """ 0 ::: ! 1 ::: $$!handler 2 ::: $$&handler 3 ::: $$@handler 4 ::: $$call 5 ::: $$comment 6 ::: $$define 7 ::: $$literal 8 ::: $$nextline 9 ::: $$string 10 ::: * 11 ::: + 12 ::: +! 13 ::: - 14 ::: -1 15 ::: .. 16 ::: / 17 ::: 0 18 ::: 0< 19 ::: 0= 20 ::: 1 21 ::: 1+ 22 ::: 1- 23 ::: 10 24 ::: 100 25 ::: 1024 26 ::: 127 27 ::: 128 28 ::: 15 29 ::: 16 30 ::: 16* 31 ::: 16/ 32 ::: 2 33 ::: 2* 34 ::: 2+ 35 ::: 2- 36 ::: 2/ 37 ::: 24 38 ::: 255 39 ::: 256 40 ::: 256* 41 ::: 256/ 42 ::: 3 43 ::: 32 44 ::: 32767 45 ::: 32768 46 ::: 4 47 ::: 4* 48 ::: 4/ 49 ::: 4096 50 ::: 5 51 ::: 512 52 ::: 63 53 ::: 64 54 ::: 8 55 ::: 8* 56 ::: 8/ 57 ::: ; 58 ::: < 59 ::: <= 60 ::: <> 61 ::: = 62 ::: > 63 ::: >= 64 ::: ?dup 65 ::: @ 66 ::: abs 67 ::: alloc 68 ::: and 69 ::: assert 70 ::: bswap 71 ::: c! 72 ::: c@ 73 ::: clr 74 ::: drop 75 ::: dup 76 ::: else 77 ::: end 78 ::: endif 79 ::: for 80 ::: if 81 ::: index 82 ::: list 83 ::: max 84 ::: min 85 ::: mod 86 ::: negate 87 ::: new 88 ::: next 89 ::: nip 90 ::: not 91 ::: or 92 ::: over 93 ::: repeat 94 ::: rnd 95 ::: rot 96 ::: run 97 ::: sgn 98 ::: stop 99 ::: swap 100 ::: sys 101 ::: to.string 102 ::: until 103 ::: vlist 104 ::: xbreak 105 ::: xdump 106 ::: xor 107 ::: save 108 ::: load 109 ::: $$index 110 ::: old 111 ::: $$hexliteral 112 ::: fast 113 ::: slow """.strip().upper() WordIndex.INDEX = None if __name__ == "__main__": print(WordIndex().get())

[ "paulscottrobson@gmail.com" ]

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from __future__ import division r=float(input(digite um valor para raio de uma lata:')) a=float(input('digite um valor para altura de uma lata:')) v=(3*14159*r*r*a)

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import pandas as pd import numpy as np from sklearn import preprocessing from sklearn.decomposition import * from sklearn.preprocessing import OneHotEncoder from sklearn.cross_validation import train_test_split from sklearn.utils import shuffle import xgboost as xgb from sklearn.feature_extraction import DictVectorizer # LabelEncoder train = pd.read_csv('../input/train.csv', index_col=None) test = pd.read_csv('../input/test.csv', index_col=None) train_cols = train.columns test_cols = test.columns labels = np.array(train.Hazard).ravel() train_ids = np.array(train.Id).ravel() test_ids = np.array(test.Id).ravel() train.drop('Id', axis=1, inplace=True) train.drop('Hazard', axis=1, inplace=True) test.drop('Id', axis=1, inplace=True) train = np.array(train) test = np.array(test) for i in range(train.shape[1]): lbl = preprocessing.LabelEncoder() lbl.fit(list(train[:, i]) + list(test[:, i])) train[:, i] = lbl.transform(train[:, i]) test[:, i] = lbl.transform(test[:, i]) train = np.column_stack((train_ids, labels, train)) test = np.column_stack((test_ids, test)) train = pd.DataFrame(train, columns=train_cols) test = pd.DataFrame(test, columns=test_cols) train['Id'] = train['Id'].astype(int) train['Hazard'] = train['Hazard'].astype(int) test['Id'] = test['Id'].astype(int) train.to_csv('../input/train2.csv', index=None) test.to_csv('../input/test2.csv', index=None) # DictVectorizer train = pd.read_csv('../input/train.csv', index_col=None) test = pd.read_csv('../input/test.csv', index_col=None) train_cols = train.columns test_cols = test.columns labels = np.array(train.Hazard).ravel().astype(int) train_ids = np.array(train.Id).ravel().astype(int) test_ids = np.array(test.Id).ravel().astype(int) train.drop('Id', axis=1, inplace=True) train.drop('Hazard', axis=1, inplace=True) test.drop('Id', axis=1, inplace=True) train = list(train.T.reset_index(drop=True).to_dict().values()) test = list(test.T.reset_index(drop=True).to_dict().values()) vec = DictVectorizer(sparse=False) train = vec.fit_transform(train) test = vec.transform(test) train = np.column_stack((train_ids, labels, train)) test = np.column_stack((test_ids, test)) train = pd.DataFrame(train, columns=['Id', 'Hazard'] + vec.get_feature_names()) test = pd.DataFrame(test, columns=['Id'] + vec.get_feature_names()) train['Id'] = train['Id'].astype(int) train['Hazard'] = train['Hazard'].astype(int) test['Id'] = test['Id'].astype(int) train.to_csv('../input/train3.csv', index=None) test.to_csv('../input/test3.csv', index=None) # Factors to hazard mean train = pd.read_csv('../input/train.csv', index_col=None) test = pd.read_csv('../input/test.csv', index_col=None) train_cols = train.columns test_cols = test.columns labels = train.Hazard.astype(int) train_ids = train.Id.astype(int) test_ids = test.Id.astype(int) train.drop('Id', axis=1, inplace=True) test.drop('Id', axis=1, inplace=True) for feat in train.select_dtypes(include=['object']).columns: m = train.groupby([feat])['Hazard'].mean() train[feat].replace(m, inplace=True) test[feat].replace(m, inplace=True) train = pd.concat((train_ids, train), axis=1) test = pd.concat((test_ids, test), axis=1) train.to_csv('../input/train4.csv', index=None) test.to_csv('../input/test4.csv', index=None)

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import frappe def execute(): for violation_category in ['Building & Structure', 'Exteriors', 'General Rules', 'Noise', 'Pets', 'Trash', 'Vehicles & Parking', 'Others']: if not frappe.db.exists('Tenant Violation Category', violation_category): frappe.get_doc({ 'doctype': 'Tenant Violation Category', 'category_name': violation_category }).insert()

[ "irayspacii@gmail.com" ]

irayspacii@gmail.com

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test = { 'name': 'Question', 'points': 1, 'suites': [ { 'type': 'wwpp', 'cases': [ { 'code': r""" >>> np.isclose(unpd_roni.where('area', 'Malawi').where('period', 2000).column('roni').item(0), 28.261) True """, 'hidden': False }, { 'code': r""" >>> np.isclose(unpd_roni.where('area', 'Germany').where('period', 1960).column('roni').item(0), 5.069) True """, 'hidden': False }, ], 'scored': True, 'setup': '', 'teardown': '', 'type': 'doctest' } ] }

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from collections import Counter from itertools import repeat, takewhile from fractions import Fraction def multiply(numbers): result = 1 for n in numbers: result *= n return result class Primes: def __init__(self, n): N = n // 2 sieve = [True] * N for i in range(3, int(n**0.5) + 1, 2): if sieve[i // 2]: start = i ** 2 // 2 sieve[start::i] = repeat(False, len(range(start, N, i))) self._list = [2] + [2*i+1 for i in range(1, N) if sieve[i]] self._set = set(self._list) self.maxn = n def upto(self, n): if self.maxn < n: self.__init__(max(n, 2 * self.maxn)) return takewhile(lambda x: x <= n, self._list) class Factors: def __init__(self, maxn): self.largest = [1] * maxn for p in primes.upto(maxn): self.largest[p::p] = repeat(p, len(range(p, maxn, p))) def totient(self, n): return int(n * multiply(1 - Fraction(1, p) for p in set(self(n)))) def __call__(self, n): result = [] if n >= len(self.largest): for p in primes: while n % p == 0: result.append(p) n = n // p if n < len(self.largest): break while n > 1: p = self.largest[n] result.append(p) n = n // p return result toti = dict() def chain_size(n): if n == 1: return 1 if n not in toti: toti[n] = 1 + chain_size(factors.totient(n)) return toti[n] N = 40*10**6 s = 25 primes = Primes(N) factors = Factors(N) total = 0 for i in primes.upto(N): if chain_size(i) == s: total+=i print total

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# Generated by Django 2.1.7 on 2019-05-11 12:15 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('Ercesscorp', '0002_auto_20190511_0950'), ] operations = [ migrations.AlterModelTable( name='users', table='users', ), ]

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# -*- coding:utf-8 -*- """ 1.什么是奇异值分解？一个矩阵M，可以分解为3个矩阵U，S，V，使得U * S * V等于M。 U，V都是正交矩阵（正交矩阵乘于该矩阵的转置等于单位矩阵）那么S矩阵主对角线上的元素称为矩阵M的奇异值，其他元素都为0. 2.奇异值的应用可以根据奇异值，逆推原矩阵，跟特征值的作用相似，不同的是奇异值可以提取非方阵，特征值的提取必须是方阵 3.获取奇异值使用numpy.linalg.svd(M, full_matrices=False)方法，返回三个矩阵U，S，V，但是S是一个一维数组（就是奇异值） full_matrices=False:是否返回完全的方阵 """ import numpy as np M = np.mat("4 11 14; 8 7 -2") print(M) # 奇异值分解 U, S, V = np.linalg.svd(M, full_matrices=False) # 如果不是设置 full_matrices=False 则函数返回的U，V就是方阵 # U, S, V = np.linalg.svd(M) print(U * U.T) print(V * V.T) print(S) S = np.diag(S) print(S) print(U * S * V)

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""" 绘图工具，提供一个小海龟，理解为一个机器人呢，只能听得懂有限的命令。绘图窗口原地在(0, 0)默认朝向右侧导入 turtle库运动命令： forward(d) 向前移动d长度 backward(d) 向后移动d长度笔画控制命令：其他命令： done() 程序继续执行 """ import turtle turtle.forward(100) turtle.right(90) turtle.forward(100) turtle.right(90) turtle.forward(100) turtle.right(90) turtle.forward(100) turtle.done()

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# -*- coding: utf-8 -*- # ====================================== # @File : 01-02.py # @Time : 2020/5/9 23:06 # @Author : Rivarrl # ====================================== # [面试题 01.02. 判定是否互为字符重排](https://leetcode-cn.com/problems/check-permutation-lcci/) from algorithm_utils import * class Solution: @timeit def CheckPermutation(self, s1: str, s2: str) -> bool: from collections import Counter d1, d2 = Counter(s1), Counter(s2) for c in d2: if not c in d1 or d1[c] != d2[c]: return False return True if __name__ == '__main__': a = Solution() a.CheckPermutation("abc", "bca") a.CheckPermutation("abc", "bad")

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# Generated by Django 3.0.3 on 2020-02-18 12:44 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('sales', '0003_auto_20200216_2114'), ] operations = [ migrations.CreateModel( name='pay_retail', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('date', models.DateField(default='2020-02-18')), ('amount', models.IntegerField()), ('name', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='sales.saleman_list')), ], ), migrations.AlterField( model_name='deposit_from_saleman', name='date', field=models.DateField(default='2020-02-18'), ), migrations.AlterField( model_name='retail', name='date', field=models.DateField(default='2020-02-18'), ), migrations.AlterField( model_name='retail_sales', name='date', field=models.DateField(default='2020-02-18'), ), migrations.AlterField( model_name='saleman_sale', name='date', field=models.DateField(default='2020-02-18'), ), migrations.DeleteModel( name='pay_saleman', ), ]

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from django.conf.urls import url, include urlpatterns = [ url(r'^member/', include('member.urls.apis', namespace='member')), url(r'^post/', include('post.urls.apis', namespace='post')), ]

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from src.homework.homework11.player import Player from src.homework.homework11.game_log import GameLog from src.homework.homework11.die6 import Die6 from src.homework.homework11.die8 import Die8 #write import statements for Die6 and Die8 classes game_log = GameLog() #ASSIGNMENT 12: Write statements to create Die6 and Die8 instances die6 = Die6() die8 = Die8() #ASSIGNMENT12: pass the Die6 and Die8 instance object variables to the Player instantiation below as parameters after #the game_log parameter Player(game_log,die6,die8).roll_doubles() game_log.display_log() #ASSIGNMENT12: Create another GameLog instance #ASSIGNMENT12: Write statements to create Die6 and Die8 instances #ASSIGNMENT12: Create a new instance of the Player class and pass it the game log, die6, and die8 instances. #ASSIGNMENT12: Call the player instance roll_doubles. #ASSIGNMENT12: Call the game log instance display_log method. game_log_2 = GameLog() die6_2 = Die6() die8_2 = Die8() player2 = Player(game_log_2,die6_2,die8_2) player2.roll_doubles() game_log_2.display_log()

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# -*- Mode: Python; tab-width: 4 -*- # # Author: Sam Rushing <rushing@nightmare.com> # Copyright 1996, 1997 by Sam Rushing # All Rights Reserved. # RCS_ID = '$Id: unix_user_handler.py,v 1.3 2001/05/01 11:44:49 andreas Exp $' # support for `~user/public_html'. import re import string import default_handler import filesys import os import pwd get_header = default_handler.get_header user_dir = re.compile ('/~([^/]+)(.*)') class unix_user_handler (default_handler.default_handler): def __init__ (self, public_html = 'public_html'): self.public_html = public_html default_handler.default_handler.__init__ (self, None) # cache userdir-filesystem objects fs_cache = {} def match (self, request): m = user_dir.match (request.uri) return m and (m.end() == len (request.uri)) def handle_request (self, request): # get the user name user = user_dir.group(1) rest = user_dir.group(2) # special hack to catch those lazy URL typers if not rest: request['Location'] = 'http://%s/~%s/' % ( request.channel.server.server_name, user ) request.error (301) return # have we already built a userdir fs for this user? if self.fs_cache.has_key (user): fs = self.fs_cache[user] else: # no, well then, let's build one. # first, find out where the user directory is try: info = pwd.getpwnam (user) except KeyError: request.error (404) return ud = info[5] + '/' + self.public_html if os.path.isdir (ud): fs = filesys.os_filesystem (ud) self.fs_cache[user] = fs else: request.error (404) return # fake out default_handler self.filesystem = fs # massage the request URI request.uri = '/' + rest return default_handler.default_handler.handle_request (self, request) def __repr__ (self): return '<Unix User Directory Handler at %08x [~user/%s, %d filesystems loaded]>' % ( id(self), self.public_html, len(self.fs_cache) )

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/m6/MyBlog/MyBlog/settings.py

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""" Django settings for MyBlog project. Generated by 'django-admin startproject' using Django 2.1.3. For more information on this file, see https://docs.djangoproject.com/en/2.1/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/2.1/ref/settings/ """ import os # 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/2.1/howto/deployment/checklist/ # SECURITY WARNING: keep the secret key used in production secret! SECRET_KEY = '84_z7kklzmg9y2wl^azw-=a&zs)zn&6akunu$w+jps3czbff2-' # SECURITY WARNING: don't run with debug turned on in production! DEBUG = True ALLOWED_HOSTS = [] LOGIN_URL='/login/' # Application definition INSTALLED_APPS = [ 'django.contrib.admin', 'django.contrib.auth', 'django.contrib.contenttypes', 'django.contrib.sessions', 'django.contrib.messages', 'django.contrib.staticfiles', 'blog.apps.BlogConfig', ] 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 = 'MyBlog.urls' TEMPLATES = [ { 'BACKEND': 'django.template.backends.django.DjangoTemplates', 'DIRS': [os.path.join(BASE_DIR, 'templates')] , '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', ], }, }, ] LOGGING = { 'version': 1, 'disable_existing_loggers': False, 'handlers': { 'console':{ 'level':'DEBUG', 'class':'logging.StreamHandler', }, }, 'loggers': { 'django.db.backends': { 'handlers': ['console'], 'propagate': True, 'level':'DEBUG', }, } } WSGI_APPLICATION = 'MyBlog.wsgi.application' # Database # https://docs.djangoproject.com/en/2.1/ref/settings/#databases DATABASES = { 'default': { 'ENGINE': 'django.db.backends.mysql', 'NAME': 'blog', 'HOST': '140.143.132.118', 'PORT': 3306, 'USER': 'xiaoxin', 'PASSWORD': 'Nishi458_2' } } # Password validation # https://docs.djangoproject.com/en/2.1/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', }, ] AUTH_USER_MODEL='blog.UserInfo' # Internationalization # https://docs.djangoproject.com/en/2.1/topics/i18n/ LANGUAGE_CODE = 'en-us' TIME_ZONE = 'Asia/Shanghai' USE_I18N = True USE_L10N = True USE_TZ = False # Static files (CSS, JavaScript, Images) # https://docs.djangoproject.com/en/2.1/howto/static-files/ STATIC_URL = '/static/' STATICFILES_DIRS = [ os.path.join(BASE_DIR,'static') ] MEDIA_ROOT=os.path.join(BASE_DIR,'media') # MEDIA_URL = '/media/' EMAIL_HOST = 'smtp.qq.com' EMAIL_POST = 465 EMAIL_HOST_USER = '452427904@qq.com' EMAIL_HOST_PASSWORD = 'dqccbhjmkjxpbgig' # DEFAULT_FROM_EMAIL = '' EMAIL_USE_SSL = False

[ "music51555@163.com" ]

music51555@163.com

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#! /usr/bin/env python def good_government_or_point(str_arg): first_time(str_arg) print('make_week') def first_time(str_arg): print(str_arg) if __name__ == '__main__': good_government_or_point('time')

[ "jingkaitang@gmail.com" ]

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/produccion/migrations/0010_prodleche_vo.py

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# Generated by Django 2.2 on 2021-06-24 19:48 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('produccion', '0009_auto_20210618_0943'), ] operations = [ migrations.AddField( model_name='prodleche', name='vo', field=models.IntegerField(default=1), preserve_default=False, ), ]

[ "patacasis@gmail.com" ]

patacasis@gmail.com

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/static/audio_file/clear_cache.py

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wanZzz6/smart_robot

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import os all_file = os.listdir('.') print('正在清理缓存') for i in all_file: if 'auido' in i or 'clear' in i: continue os.remove(i)

[ "1343837706@qq.com" ]

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/Django-Tutorials/listening/migrations/0001_initial.py

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apabhishek178/ieltsonline

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refs/heads/master

2020-04-26T09:19:55.712217

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# -*- coding: utf-8 -*- # Generated by Django 1.10.8 on 2019-02-18 16:03 from __future__ import unicode_literals from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='AudioMain', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('Question_Name', models.CharField(default='Listening Part', max_length=50)), ('Instruction', models.TextField(default='instructions', max_length=2000)), ('audio_file', models.FileField(help_text='Allowed type - .mp3, .wav, .ogg', null=True, upload_to='audiofolder/')), ], ), migrations.CreateModel( name='Fillup', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('Question_Name', models.CharField(default='Fillup Question', max_length=50)), ('Instruction', models.TextField(default='your instructions', max_length=2000)), ('Question', models.TextField(default='Your questions', max_length=100)), ('audio', models.ForeignKey(null=True, on_delete=django.db.models.deletion.PROTECT, related_name='audioFill', to='listening.AudioMain')), ], ), migrations.CreateModel( name='FillupQue', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('part1', models.CharField(max_length=100, null=True)), ('part2', models.CharField(max_length=100, null=True)), ('linked', models.ForeignKey(null=True, on_delete=django.db.models.deletion.PROTECT, related_name='linkedfillup', to='listening.Fillup')), ], ), migrations.CreateModel( name='MapMatch', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('map', models.ImageField(null=True, upload_to='audiomap/')), ('Question_Name', models.CharField(default='Map Question', max_length=50)), ('Instruction', models.TextField(default='your instructions', max_length=2000)), ('Question', models.TextField(default='Your questions', max_length=100)), ('audio', models.ForeignKey(null=True, on_delete=django.db.models.deletion.PROTECT, related_name='audioMap', to='listening.AudioMain')), ], ), migrations.CreateModel( name='MapMatchQues', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('part', models.CharField(max_length=100, null=True)), ('linked', models.ForeignKey(null=True, on_delete=django.db.models.deletion.PROTECT, related_name='linkedmap', to='listening.MapMatch')), ], ), migrations.CreateModel( name='Matching', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('Question_Name', models.CharField(default='Matching Question', max_length=50)), ('Instruction', models.TextField(default='your instructions', max_length=2000)), ('l1', models.CharField(max_length=100, null=True)), ('l2', models.CharField(max_length=100, null=True)), ('l3', models.CharField(blank=True, max_length=100, null=True)), ('l4', models.CharField(blank=True, max_length=100, null=True)), ('l5', models.CharField(blank=True, max_length=100, null=True)), ('l6', models.CharField(blank=True, max_length=100, null=True)), ('l7', models.CharField(blank=True, max_length=100, null=True)), ('l8', models.CharField(blank=True, max_length=100, null=True)), ('l9', models.CharField(blank=True, max_length=100, null=True)), ('l10', models.CharField(blank=True, max_length=100, null=True)), ('r1', models.CharField(max_length=100, null=True)), ('r2', models.CharField(max_length=100, null=True)), ('r3', models.CharField(blank=True, max_length=100, null=True)), ('r4', models.CharField(blank=True, max_length=100, null=True)), ('r5', models.CharField(blank=True, max_length=100, null=True)), ('r6', models.CharField(blank=True, max_length=100, null=True)), ('r7', models.CharField(blank=True, max_length=100, null=True)), ('r8', models.CharField(blank=True, max_length=100, null=True)), ('r9', models.CharField(blank=True, max_length=100, null=True)), ('r10', models.CharField(blank=True, max_length=100, null=True)), ('audio', models.ForeignKey(null=True, on_delete=django.db.models.deletion.PROTECT, related_name='audioMatch', to='listening.AudioMain')), ], ), migrations.CreateModel( name='MCQ', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('Question_Name', models.CharField(default='MCQ Question', max_length=50)), ('Instruction', models.TextField(default='your instructions', max_length=2000)), ('passage', models.ForeignKey(null=True, on_delete=django.db.models.deletion.PROTECT, related_name='audiomcq', to='listening.AudioMain')), ], ), migrations.CreateModel( name='MCQQues', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('Question', models.TextField(default='Your questions', max_length=100)), ('option1', models.CharField(max_length=100, null=True)), ('option2', models.CharField(max_length=100, null=True)), ('option3', models.CharField(blank=True, max_length=100, null=True)), ('option4', models.CharField(blank=True, max_length=100, null=True)), ('option5', models.CharField(blank=True, max_length=100, null=True)), ('option6', models.CharField(blank=True, max_length=100, null=True)), ('linked', models.ForeignKey(null=True, on_delete=django.db.models.deletion.PROTECT, related_name='linkedmcq', to='listening.MCQ')), ], ), migrations.CreateModel( name='Summary', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('Question_Name', models.CharField(default='audio Question', max_length=50)), ('Instruction', models.TextField(default='your instructions', max_length=2000)), ('part1', models.CharField(max_length=100, null=True)), ('part2', models.CharField(max_length=100, null=True)), ('part3', models.CharField(blank=True, max_length=100, null=True)), ('part4', models.CharField(blank=True, max_length=100, null=True)), ('part5', models.CharField(blank=True, max_length=100, null=True)), ('part6', models.CharField(blank=True, max_length=100, null=True)), ('part7', models.CharField(blank=True, max_length=100, null=True)), ('audio', models.ForeignKey(null=True, on_delete=django.db.models.deletion.PROTECT, related_name='audiosumm', to='listening.AudioMain')), ], ), ]

[ "apabhishek178@gmail.com" ]

apabhishek178@gmail.com

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/python/liangliangyy_DjangoBlog/DjangoBlog-master/comments/templatetags/comments_tags.py

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[]

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LiuFang816/SALSTM_py_data

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refs/heads/master

2022-12-25T06:39:52.222097

2019-12-12T08:49:07

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2022-12-19T02:53:01

2019-12-12T07:29:39

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#!/usr/bin/env python # encoding: utf-8 """ @version: ?? @author: liangliangyy @license: MIT Licence @contact: liangliangyy@gmail.com @site: https://www.lylinux.org/ @software: PyCharm @file: comments_tags.py @time: 2016/11/2 下午9:17 """ from django import template from django.template.loader import render_to_string from ..models import Comment from blog.models import Article from comments.forms import CommentForm register = template.Library() @register.assignment_tag def parse_commenttree(commentlist, comment): """获得当前评论子评论的列表用法: {% parse_commenttree article_comments comment as childcomments %} """ datas = [] def parse(c): childs = commentlist.filter(parent_comment=c) for child in childs: datas.append(child) parse(child) parse(comment) return datas @register.inclusion_tag('comments/tags/comment_item.html') def show_comment_item(comment, ischild): """评论""" depth = 1 if ischild else 2; return { 'comment_item': comment, 'depth': depth } """ @register.simple_tag(name='get_comment_count') def GetCommentCount(parser, token): commentcount = Comment.objects.filter(article__author_id=token).count() return "0" if commentcount == 0 else str(commentcount) + " comments" @register.inclusion_tag('comments/tags/post_comment.html') def load_post_comment(article, lastform=None): if not lastform: form = CommentForm() form.article_id = article.id form.parent_comment_id = '' else: form = lastform return { 'article': article, 'form': form } """

[ "659338505@qq.com" ]

659338505@qq.com

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/python/compose/2017/12/testcases.py

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2023-02-22T21:59:02.703005

2021-01-28T19:40:51

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2020-10-23T01:18:07

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from __future__ import absolute_import from __future__ import unicode_literals import functools import os import pytest from docker.errors import APIError from docker.utils import version_lt from .. import unittest from compose.cli.docker_client import docker_client from compose.config.config import resolve_environment from compose.config.environment import Environment from compose.const import API_VERSIONS from compose.const import COMPOSEFILE_V1 as V1 from compose.const import COMPOSEFILE_V2_0 as V2_0 from compose.const import COMPOSEFILE_V2_0 as V2_1 from compose.const import COMPOSEFILE_V2_2 as V2_2 from compose.const import COMPOSEFILE_V2_3 as V2_3 from compose.const import COMPOSEFILE_V3_0 as V3_0 from compose.const import COMPOSEFILE_V3_2 as V3_2 from compose.const import COMPOSEFILE_V3_5 as V3_5 from compose.const import LABEL_PROJECT from compose.progress_stream import stream_output from compose.service import Service SWARM_SKIP_CONTAINERS_ALL = os.environ.get('SWARM_SKIP_CONTAINERS_ALL', '0') != '0' SWARM_SKIP_CPU_SHARES = os.environ.get('SWARM_SKIP_CPU_SHARES', '0') != '0' SWARM_SKIP_RM_VOLUMES = os.environ.get('SWARM_SKIP_RM_VOLUMES', '0') != '0' SWARM_ASSUME_MULTINODE = os.environ.get('SWARM_ASSUME_MULTINODE', '0') != '0' def pull_busybox(client): client.pull('busybox:latest', stream=False) def get_links(container): links = container.get('HostConfig.Links') or [] def format_link(link): _, alias = link.split(':') return alias.split('/')[-1] return [format_link(link) for link in links] def engine_max_version(): if 'DOCKER_VERSION' not in os.environ: return V3_5 version = os.environ['DOCKER_VERSION'].partition('-')[0] if version_lt(version, '1.10'): return V1 if version_lt(version, '1.12'): return V2_0 if version_lt(version, '1.13'): return V2_1 if version_lt(version, '17.06'): return V3_2 return V3_5 def min_version_skip(version): return pytest.mark.skipif( engine_max_version() < version, reason="Engine version %s is too low" % version ) def v2_only(): return min_version_skip(V2_0) def v2_1_only(): return min_version_skip(V2_1) def v2_2_only(): return min_version_skip(V2_2) def v2_3_only(): return min_version_skip(V2_3) def v3_only(): return min_version_skip(V3_0) class DockerClientTestCase(unittest.TestCase): @classmethod def setUpClass(cls): version = API_VERSIONS[engine_max_version()] cls.client = docker_client(Environment(), version) @classmethod def tearDownClass(cls): del cls.client def tearDown(self): for c in self.client.containers( all=True, filters={'label': '%s=composetest' % LABEL_PROJECT}): self.client.remove_container(c['Id'], force=True) for i in self.client.images( filters={'label': 'com.docker.compose.test_image'}): try: self.client.remove_image(i, force=True) except APIError as e: if e.is_server_error(): pass volumes = self.client.volumes().get('Volumes') or [] for v in volumes: if 'composetest_' in v['Name']: self.client.remove_volume(v['Name']) networks = self.client.networks() for n in networks: if 'composetest_' in n['Name']: self.client.remove_network(n['Name']) def create_service(self, name, **kwargs): if 'image' not in kwargs and 'build' not in kwargs: kwargs['image'] = 'busybox:latest' if 'command' not in kwargs: kwargs['command'] = ["top"] kwargs['environment'] = resolve_environment( kwargs, Environment.from_env_file(None) ) labels = dict(kwargs.setdefault('labels', {})) labels['com.docker.compose.test-name'] = self.id() return Service(name, client=self.client, project='composetest', **kwargs) def check_build(self, *args, **kwargs): kwargs.setdefault('rm', True) build_output = self.client.build(*args, **kwargs) stream_output(build_output, open('/dev/null', 'w')) def require_api_version(self, minimum): api_version = self.client.version()['ApiVersion'] if version_lt(api_version, minimum): pytest.skip("API version is too low ({} < {})".format(api_version, minimum)) def get_volume_data(self, volume_name): if not is_cluster(self.client): return self.client.inspect_volume(volume_name) volumes = self.client.volumes(filters={'name': volume_name})['Volumes'] assert len(volumes) > 0 return self.client.inspect_volume(volumes[0]['Name']) def is_cluster(client): if SWARM_ASSUME_MULTINODE: return True def get_nodes_number(): try: return len(client.nodes()) except APIError: # If the Engine is not part of a Swarm, the SDK will raise # an APIError return 0 if not hasattr(is_cluster, 'nodes') or is_cluster.nodes is None: # Only make the API call if the value hasn't been cached yet is_cluster.nodes = get_nodes_number() return is_cluster.nodes > 1 def no_cluster(reason): def decorator(f): @functools.wraps(f) def wrapper(self, *args, **kwargs): if is_cluster(self.client): pytest.skip("Test will not be run in cluster mode: %s" % reason) return return f(self, *args, **kwargs) return wrapper return decorator

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/tcutils/pkgs/Traffic/traffic/core/stream.py

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"""Module to create traffic stream. It just parses the arguments given by the user and fills up the approprite protocol header. This needs to be extended for new protocol streams with new protocol. """ import sys import inspect try: # Running from the source repo "test". from tcutils.pkgs.Traffic.traffic.utils.logger import LOGGER, get_logger from tcutils.pkgs.Traffic.traffic.utils.globalvars import LOG_LEVEL from tcutils.pkgs.Traffic.traffic.utils.util import is_v6, is_v4 except ImportError: # Distributed and installed as package from traffic.utils.logger import LOGGER, get_logger from traffic.utils.globalvars import LOG_LEVEL from traffic.utils.util import is_v6, is_v4 LOGGER = "%s.core.listener" % LOGGER log = get_logger(name=LOGGER, level=LOG_LEVEL) def help(header="all"): """lists the keywords of fields available in currenlty implemented protocols. This is a helper method to the users to get the list of fields, before creating a stream. Usage: import stream stream.help() stream.help("IPHeader") """ clsmembers = inspect.getmembers(sys.modules[__name__], inspect.isclass) if not header == "all": clsmembers = filter(lambda x: x[0] == header, clsmembers) for clsname, clsmember in clsmembers: clsobj = clsmember() clsattrs = dir(clsobj) if "fields" in clsattrs: print clsname, ": ", clsobj.fields if "options" in clsattrs: print clsname, ": ", clsobj.options class Stream(object): def __init__(self, **kwargs): if not kwargs: # Just for getting Help. return self.all_fields = kwargs try: self.protocol = self.all_fields['protocol'] except KeyError: self.protocol = "ip" # Defualt L3 protocol. dst = self.all_fields['dst'] if is_v6(dst): self.protocol = "ipv6" try: proto = self.all_fields['proto'] except KeyError, err: print err, "Must specify proto." if 'dst' in self.all_fields.keys(): self.all_fields['dst'] = str(self.all_fields['dst']) self.l2 = self._eth_header() if self.protocol == 'ip': self.l3 = self._ip_header() elif self.protocol == 'ipv6': self.l3 = self._ip6_header() if proto == 'tcp': self.l4 = self._tcp_header() elif proto == 'udp': self.l4 = self._udp_header() elif proto == 'icmp': self.l4 = self._icmp_header() def _eth_header(self): return {} def _ip_header(self): return IPHeader(**self.all_fields).get_header() def _ip6_header(self): return IP6Header(**self.all_fields).get_header() def _tcp_header(self): return TCPHeader(**self.all_fields).get_header() def _udp_header(self): return UDPHeader(**self.all_fields).get_header() def _icmp_header(self): if self.protocol == 'ipv6': return None return ICMPHeader(**self.all_fields).get_header() def get_l4_proto(self): return getattr(self.l3, 'proto', None) or \ getattr(self.l3, 'nh', None).lower() class Header(object): def __init__(self, fields={}): for key, val in fields.items(): self.__setattr__(key, val) class AnyHeader(object): def __init__(self, **kwargs): self.all_fields = kwargs try: self.all_fields.update({'sport': int(self.all_fields['sport'])}) self.all_fields.update({'dport': int(self.all_fields['dport'])}) self.all_fields.update({'inter': int(self.all_fields['inter'])}) except KeyError: pass def create_header(self, fields): header = {} for field in fields: if field in self.all_fields.keys(): if field == "iplen": # UDP also has len field = "len" if field == "ipflags": # TCP also has flags field = "flags" header.update({field: self.all_fields[field]}) return header class TCPHeader(AnyHeader): def __init__(self, **kwargs): super(TCPHeader, self).__init__(**kwargs) # Set got from "fields_desc" attribute of protocol headers in scapy. self.fields = ("sport", "dport", "seq", "ack", "dataofs", "reserved", "flags", "window", "chksum", "urgptr") self.options = ("EOL", "NOP", "MSS", "WScale", "SAckOK", "SAck", "Timestamp", "AltChkSum", "AltChkSumOpt") def get_header(self): header = self.create_header(self.fields) options = self.create_header(self.options) if options: header.update({'options': options}) return Header(header) class UDPHeader(AnyHeader): def __init__(self, **kwargs): super(UDPHeader, self).__init__(**kwargs) # Set got from "fields_desc" attribute of protocol headers in scapy. self.fields = ("sport", "dport", "len", "chksum") def get_header(self): header = self.create_header(self.fields) return Header(header) class ICMPHeader(AnyHeader): def __init__(self, **kwargs): super(ICMPHeader, self).__init__(**kwargs) # Set got from "fields_desc" attribute of protocol headers in scapy. self.fields = ("type", "code", "chksum", "id", "seq", "ts_ori", "ts_rx" "ts_tx", "gw", "ptr", "reserved", "addr_mask") def get_header(self): header = self.create_header(self.fields) return Header(header) class IPHeader(AnyHeader): def __init__(self, **kwargs): super(IPHeader, self).__init__(**kwargs) # Set got from "fields_desc" attribute of protocol headers in scapy. self.fields = ("version", "ihl", "tos", "iplen", "id", "ipflags", "frag", "ttl", "proto", "ipchksum", "src", "dst", "options") def get_header(self): header = self.create_header(self.fields) return Header(header) class IP6Header(AnyHeader): def __init__(self, **kwargs): super(IP6Header, self).__init__(**kwargs) # Set got from "fields_desc" attribute of protocol headers in scapy. self.fields = ("version", "tc", "fl", "iplen", "nh", "proto", "hlim", "ttl", "src", "dst") def get_header(self): header = self.create_header(self.fields) hdr_obj = Header(header) if hasattr(hdr_obj, 'proto'): hdr_obj.nh = hdr_obj.proto.upper() if 'ICMP' in hdr_obj.nh: hdr_obj.nh = 'ICMPv6' del hdr_obj.proto if hasattr(hdr_obj, 'ttl'): hdr_obj.hlim = hdr_obj.ttl del hdr_obj.ttl return hdr_obj

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#!/usr/bin/env python # -*- coding:utf-8 -*- class A: pass class B(A): pass # print(issubclass(B,A)) a = A() b = B() print(isinstance(a,A)) print(isinstance(b,A)) print(isinstance(a,B))

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def fit_first_stage(T, Z): """ Estimates T_hat as the first stage of a two-stage least squares. Args: T (np.ndarray): our observed, possibly confounded, treatment of shape (n, 1) Z (np.ndarray): our observed instruments of shape (n, 1) Returns T_hat (np.ndarray): our estimate of the unconfounded portion of T """ # Initialize linear regression model stage1 = LinearRegression(fit_intercept=True) # Fit linear regression model stage1.fit(Z, T) # Predict T_hat using linear regression model T_hat = stage1.predict(Z) return T_hat # Estimate T_hat T_hat = fit_first_stage(T, Z) # Get correlations T_C_corr = np.corrcoef(T.transpose(), C.transpose())[0, 1] T_hat_C_corr = np.corrcoef(T_hat.transpose(), C.transpose())[0, 1] # Print correlations print(f"Correlation between T and C: {T_C_corr:.3f}") print(f"Correlation between T_hat and C: {T_hat_C_corr:.3f}")

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/dockerhub_show_tags.py

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blueroutecn/pytools

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#!/usr/bin/env python # vim:ts=4:sts=4:sw=4:et # # Author: Hari Sekhon # Date: 2016-05-10 11:26:49 +0100 (Tue, 10 May 2016) # # https://github.com/harisekhon/pytools # # License: see accompanying Hari Sekhon LICENSE file # # If you're using my code you're welcome to connect with me on LinkedIn # and optionally send me feedback to help improve this or other code I publish # # https://www.linkedin.com/in/harisekhon # """ Tool to show Docker tags for one or more DockerHub repos Written for convenience as Docker CLI doesn't currently support this: See https://github.com/docker/docker/issues/17238 """ from __future__ import absolute_import from __future__ import division from __future__ import print_function #from __future__ import unicode_literals import json import logging import os import sys import traceback import urllib try: import requests except ImportError: print(traceback.format_exc(), end='') sys.exit(4) srcdir = os.path.abspath(os.path.dirname(__file__)) libdir = os.path.join(srcdir, 'pylib') sys.path.append(libdir) try: # pylint: disable=wrong-import-position from harisekhon.utils import log, die, prog, isJson, jsonpp from harisekhon import CLI except ImportError as _: print(traceback.format_exc(), end='') sys.exit(4) __author__ = 'Hari Sekhon' __version__ = '0.4' class DockerHubTags(CLI): def __init__(self): # Python 2.x super(DockerHubTags, self).__init__() # Python 3.x # super().__init__() self._CLI__parser.usage = '{0} [options] repo1 repo2 ...'.format(prog) self.quiet = False self.timeout_default = 30 def add_options(self): self.add_opt('-q', '--quiet', action='store_true', default=False, help='Output only the tags, one per line (useful for shell tricks)') def run(self): if not self.args: self.usage('no repos given as args') self.quiet = self.get_opt('quiet') if not self.quiet: print('\nDockerHub\n') for arg in self.args: self.print_tags(arg) def print_tags(self, repo): if not self.quiet: print('repo: {0}'.format(repo)) print('tags: ', end='') sys.stdout.flush() indent = ' ' if self.quiet: indent = '' print('\n{0}'.format(indent).join(self.get_tags(repo))) if not self.quiet: print() def get_tags(self, repo): namespace = 'library' if '/' in repo: (namespace, repo) = repo.split('/', 2) # there is another endpoint but it requires authentication url = 'https://registry.hub.docker.com/v2/repositories/{0}/{1}/tags/'\ .format(urllib.quote_plus(namespace), urllib.quote_plus(repo)) tag_list = [] while True: (tags, url) = self.query(url) tag_list += tags if not url: break tag_list.sort() # put latest to the top of the list try: tag_list.insert(0, tag_list.pop(tag_list.index('latest'))) except ValueError: pass return tag_list @staticmethod def query(url): log.debug('GET %s' % url) try: verify = True # workaround for Travis CI and older pythons - we're not exchanging secret data so this is ok #if os.getenv('TRAVIS'): # verify = False req = requests.get(url, verify=verify) except requests.exceptions.RequestException as _: die(_) log.debug("response: %s %s", req.status_code, req.reason) log.debug("content:\n%s\n%s\n%s", '='*80, req.content.strip(), '='*80) if req.status_code != 200: die("%s %s" % (req.status_code, req.reason)) if not isJson(req.content): die('invalid non-JSON response from DockerHub!') if log.isEnabledFor(logging.DEBUG): print(jsonpp(req.content)) print('='*80) tag_list = [] try: j = json.loads(req.content) tag_list = [_['name'] for _ in j['results']] # could perhaps stack overflow in some scenario # not as functional programming 'cool' but will do own tail recursion and just while loop instead #if 'next' in j and j['next']: # tag_list += self.query(j['next']) return (tag_list, j['next']) except KeyError as _: die('failed to parse output from DockerHub (format may have changed?): {0}'.format(_)) if __name__ == '__main__': DockerHubTags().main()

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pypy/wxpython-cffi

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#--------------------------------------------------------------------------- # Name: etg/choicebk.py # Author: Robin Dunn # # Created: 18-Jun-2012 # Copyright: (c) 2013 by Total Control Software # License: wxWindows License #--------------------------------------------------------------------------- import etgtools import etgtools.tweaker_tools as tools PACKAGE = "wx" MODULE = "_core" NAME = "choicebk" # Base name of the file to generate to for this script DOCSTRING = "" # The classes and/or the basename of the Doxygen XML files to be processed by # this script. ITEMS = [ "wxChoicebook", ] #--------------------------------------------------------------------------- def run(): # Parse the XML file(s) building a collection of Extractor objects module = etgtools.ModuleDef(PACKAGE, MODULE, NAME, DOCSTRING) etgtools.parseDoxyXML(module, ITEMS) #----------------------------------------------------------------- # Tweak the parsed meta objects in the module object as needed for # customizing the generated code and docstrings. module.addHeaderCode('#include <wx/choicebk.h>') c = module.find('wxChoicebook') assert isinstance(c, etgtools.ClassDef) tools.fixWindowClass(c) tools.fixBookctrlClass(c) module.addPyCode("""\ EVT_CHOICEBOOK_PAGE_CHANGED = wx.PyEventBinder( wxEVT_CHOICEBOOK_PAGE_CHANGED, 1 ) EVT_CHOICEBOOK_PAGE_CHANGING = wx.PyEventBinder( wxEVT_CHOICEBOOK_PAGE_CHANGING, 1 ) # deprecated wxEVT aliases wxEVT_COMMAND_CHOICEBOOK_PAGE_CHANGED = wxEVT_CHOICEBOOK_PAGE_CHANGED wxEVT_COMMAND_CHOICEBOOK_PAGE_CHANGING = wxEVT_CHOICEBOOK_PAGE_CHANGING """) #----------------------------------------------------------------- tools.doCommonTweaks(module) tools.runGenerators(module) #--------------------------------------------------------------------------- if __name__ == '__main__': run()

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wayedt@gmail.com

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lapinrepository/ethicalhacking

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#!/usr/bin/python import logging import subprocess logging.getLogger("scapy.runtime").setLevel(logging.ERROR) from scapy.all import * import threading screenlock = threading.Semaphore(value=1) def icmpscan(prefix, addr): try: answer = sr1(IP(dst=prefix + str(addr))/ICMP(),timeout=1, verbose=0) screenlock.acquire() if answer == None: pass else: print("[+] Host " + prefix + str(addr) + " is alive") except: pass finally: screenlock.release() if len(sys.argv) != 2: print("Usage scapy_icmp_discovery.py [interface]") print("Example: scapy_icmp_discovery.py eth0") sys.exit() interface = str(sys.argv[1]) ip = subprocess.check_output("ifconfig " + interface + " | grep 'inet' | cut -d ' ' -f 1 | cut -d 'n' -f 2 | cut -d ' ' -f 2", shell=True).strip() prefix = ip.split('.')[0] + '.' + ip.split('.')[1] + '.' + ip.split('.')[2] + '.' reply_ip = list() for addr in range(0, 254): t = threading.Thread(target = icmpscan, args=(prefix, addr)) t.start() #for addr in range(0,254):# # answer = sr1(IP(dst=prefix + str(addr)) / ICMP(), timeout=1, verbose=0) # if answer == None: # pass # else: # reply_ip.append(prefix + str(addr)) # #for elt in reply_ip: # print(elt)

[ "root@localhost.localdomain" ]

root@localhost.localdomain

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''' set la tap hop cac phan tu khong co thu tu nen index khong co y nghia' ''' my_set={1,3} print(my_set) my_set.add(2) print(my_set) my_set.update([2,3,4]) print(my_set) my_set.update([4,5],{1,6,8}) print(my_set)

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import sys from _typeshed import ReadableBuffer, Self from collections.abc import Iterable, Iterator, Sized from typing import NoReturn, overload ACCESS_DEFAULT: int ACCESS_READ: int ACCESS_WRITE: int ACCESS_COPY: int ALLOCATIONGRANULARITY: int if sys.platform == "linux": MAP_DENYWRITE: int MAP_EXECUTABLE: int if sys.version_info >= (3, 10): MAP_POPULATE: int if sys.platform != "win32": MAP_ANON: int MAP_ANONYMOUS: int MAP_PRIVATE: int MAP_SHARED: int PROT_EXEC: int PROT_READ: int PROT_WRITE: int PAGESIZE: int class mmap(Iterable[int], Sized): if sys.platform == "win32": def __init__(self, fileno: int, length: int, tagname: str | None = ..., access: int = ..., offset: int = ...) -> None: ... else: def __init__( self, fileno: int, length: int, flags: int = ..., prot: int = ..., access: int = ..., offset: int = ... ) -> None: ... def close(self) -> None: ... if sys.version_info >= (3, 8): def flush(self, offset: int = ..., size: int = ...) -> None: ... else: def flush(self, offset: int = ..., size: int = ...) -> int: ... def move(self, dest: int, src: int, count: int) -> None: ... def read_byte(self) -> int: ... def readline(self) -> bytes: ... def resize(self, newsize: int) -> None: ... def seek(self, pos: int, whence: int = ...) -> None: ... def size(self) -> int: ... def tell(self) -> int: ... def write_byte(self, byte: int) -> None: ... def __len__(self) -> int: ... closed: bool if sys.version_info >= (3, 8) and sys.platform != "win32": def madvise(self, option: int, start: int = ..., length: int = ...) -> None: ... def find(self, sub: ReadableBuffer, start: int = ..., stop: int = ...) -> int: ... def rfind(self, sub: ReadableBuffer, start: int = ..., stop: int = ...) -> int: ... def read(self, n: int | None = ...) -> bytes: ... def write(self, bytes: ReadableBuffer) -> int: ... @overload def __getitem__(self, __index: int) -> int: ... @overload def __getitem__(self, __index: slice) -> bytes: ... def __delitem__(self, __index: int | slice) -> NoReturn: ... @overload def __setitem__(self, __index: int, __object: int) -> None: ... @overload def __setitem__(self, __index: slice, __object: ReadableBuffer) -> None: ... # Doesn't actually exist, but the object is actually iterable because it has __getitem__ and # __len__, so we claim that there is also an __iter__ to help type checkers. def __iter__(self) -> Iterator[int]: ... def __enter__(self: Self) -> Self: ... def __exit__(self, *args: object) -> None: ... if sys.version_info >= (3, 8) and sys.platform != "win32": MADV_NORMAL: int MADV_RANDOM: int MADV_SEQUENTIAL: int MADV_WILLNEED: int MADV_DONTNEED: int MADV_FREE: int if sys.platform == "linux": MADV_REMOVE: int MADV_DONTFORK: int MADV_DOFORK: int MADV_HWPOISON: int MADV_MERGEABLE: int MADV_UNMERGEABLE: int # Seems like this constant is not defined in glibc. # See https://github.com/python/typeshed/pull/5360 for details # MADV_SOFT_OFFLINE: int MADV_HUGEPAGE: int MADV_NOHUGEPAGE: int MADV_DONTDUMP: int MADV_DODUMP: int # This Values are defined for FreeBSD but type checkers do not support conditions for these if sys.platform != "linux" and sys.platform != "darwin": MADV_NOSYNC: int MADV_AUTOSYNC: int MADV_NOCORE: int MADV_CORE: int MADV_PROTECT: int if sys.version_info >= (3, 10) and sys.platform == "darwin": MADV_FREE_REUSABLE: int MADV_FREE_REUSE: int

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# Definition for a binary tree node # class TreeNode: # def __init__(self, x): # self.val = x # self.left = None # self.right = None class Solution: # @param A : root node of tree # @return an integer def do_the_summing(self, node): if not node.left and not node.right: return node.val else: if node.left: node.left.val += node.val * 10 if node.right: node.right.val += node.val * 10 return (self.do_the_summing(node.left) if node.left else 0) + (self.do_the_summing(node.right) if node.right else 0) def sumNumbers(self, A): return self.do_the_summing(A) % 1003

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# -*- coding: utf-8; -*- # # @file urls.py # @brief collgate # @author Frédéric SCHERMA (INRA UMR1095) # @date 2018-09-20 # @copyright Copyright (c) 2018 INRA/CIRAD # @license MIT (see LICENSE file) # @details coll-gate printer module url entry point. from django.conf.urls import include, url urlpatterns = [ ]

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import torch import torch.nn as nn import torchvision import torchvision.transforms as transforms import Model as model from torch.autograd import Variable import time from Logger import Logger import numpy as np import matplotlib.pyplot as plt device = torch.device('cuda:0' if torch.cuda.is_available() else 'cpu') best_acc = 0 start_epoch = 0 logger = Logger('./logs2') Train_Loss = [] Test_Loss = [] Train_Accuracy = [] Test_Accuracy = [] # Dataset print('==> Preparing data..') transform_train = transforms.Compose([ transforms.RandomCrop(32, padding=4), transforms.RandomHorizontalFlip(), transforms.ToTensor(), transforms.Normalize((0.4914, 0.4822, 0.4465), (0.2023, 0.1994, 0.2010)) ]) transform_test = transforms.Compose([ transforms.ToTensor(), transforms.Normalize((0.4914, 0.4822, 0.4465), (0.2023, 0.1994, 0.2010)) ]) trainset = torchvision.datasets.CIFAR10(root='/export/livia/data/xxu/CIFAR10', train=True, download=False, transform=transform_train) # /home/AN96120/brycexu/CIFAR10 # /export/livia/data/xxu/CIFAR10 trainset, valset = torch.utils.data.random_split(trainset, [40000, 10000]) trainloader = torch.utils.data.DataLoader(trainset, batch_size=128, shuffle=True, num_workers=0) valloader = torch.utils.data.DataLoader(valset, batch_size=128, shuffle=True, num_workers=0) testset = torchvision.datasets.CIFAR10(root='/export/livia/data/xxu/CIFAR10', train=False, download=False, transform=transform_test) testloader = torch.utils.data.DataLoader(testset, batch_size=100, shuffle=False, num_workers=0) # Model print('==> Building model..') model = model.MutipleBNN() model = nn.DataParallel(model) model = model.to(device) criterion = nn.CrossEntropyLoss(reduction='mean') optimizer1 = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9) optimizer2 = torch.optim.Adam(model.parameters(), lr=0.0001, betas=(0.5, 0.999), weight_decay=0.0003) def update_lr(optimizer): for param_group in optimizer.param_groups: param_group['lr'] = param_group['lr'] * 0.1 # Training def train(epoch): global Train_Loss, Train_Accuracy print('\nEpoch: %d' % epoch) model.train() train_loss = 0 correct = 0 total = 0 for name, param in model.named_parameters(): if name == 'module.convolutions.0.alpha' or name == 'module.convolutions.1.alpha' \ or name == 'module.convolutions.2.alpha' or name == 'module.convolutions.3.alpha' \ or name == 'module.convolutions.4.alpha' or name == 'module.convolutions.5.alpha' \ or name == 'module.convolutions.6.alpha' or name == 'module.convolutions.7.alpha' \ or name == 'module.convolutions.8.alpha' or name == 'module.convolutions.9.alpha': param.requires_grad = False else: param.requires_grad = True start = time.time() for batch_index, (inputs, targets) in enumerate(trainloader): inputs, targets = inputs.to(device), targets.to(device) inputs = Variable(inputs) targets = Variable(targets) # Forward outputs = model(inputs) loss = criterion(outputs, targets) # Backward and Optimize optimizer1.zero_grad() loss.backward() for p in list(model.parameters()): if hasattr(p, 'org'): p.data.copy_(p.org) optimizer1.step() for p in list(model.parameters()): if hasattr(p, 'org'): p.org.copy_(p.data.clamp_(-1, 1)) # Results train_loss += loss.item() _, predicted = outputs.max(1) total += targets.size(0) correct += predicted.eq(targets).sum().item() train_loss = train_loss / (40000 / 128) end = time.time() print('Training Time: %.1f' % (end - start)) print('Loss: %.3f | Accuracy: %.3f' % (train_loss, 100. * correct / total)) # Plot the model info = {'train_loss': train_loss} for tag, value in info.items(): logger.scalar_summary(tag, value, epoch + 1) Train_Loss.append(train_loss) Train_Accuracy.append(100. * correct / total) # Update lr if epoch == 200 or epoch == 400 or epoch == 600: update_lr(optimizer1) def val(epoch): model.train() val_loss = 0 correct = 0 total = 0 for name, param in model.named_parameters(): if name == 'module.convolutions.0.alpha' or name == 'module.convolutions.1.alpha' \ or name == 'module.convolutions.2.alpha' or name == 'module.convolutions.3.alpha' \ or name == 'module.convolutions.4.alpha' or name == 'module.convolutions.5.alpha' \ or name == 'module.convolutions.6.alpha' or name == 'module.convolutions.7.alpha' \ or name == 'module.convolutions.8.alpha' or name == 'module.convolutions.9.alpha': param.requires_grad = True else: param.requires_grad = False start = time.time() for batch_index, (inputs, targets) in enumerate(valloader): inputs, targets = inputs.to(device), targets.to(device) inputs = Variable(inputs) targets = Variable(targets) # Forward outputs = model(inputs) loss = criterion(outputs, targets) # Backward and Optimize optimizer2.zero_grad() loss.backward() for p in list(model.parameters()): if hasattr(p, 'org'): p.data.copy_(p.org) optimizer2.step() # Results val_loss += loss.item() _, predicted = outputs.max(1) total += targets.size(0) correct += predicted.eq(targets).sum().item() end = time.time() print('Validating Time: %.1f' % (end - start)) print('Accuracy: %.3f' % (100. * correct / total)) def test(epoch): global best_acc, Test_Loss, Test_Accuracy model.eval() test_loss = 0 correct = 0 total = 0 start = time.time() with torch.no_grad(): for batch_index, (inputs, targets) in enumerate(testloader): inputs, targets = inputs.to(device), targets.to(device) inputs = Variable(inputs) targets = Variable(targets) # Forward outputs = model(inputs) loss = criterion(outputs, targets) # Results test_loss += loss.item() _, predicted = outputs.max(1) total += targets.size(0) correct += predicted.eq(targets).sum().item() test_loss = test_loss / (10000 / 100) end = time.time() print('Testing Time: %1.f' % (end - start)) print('Loss: %.3f | Accuracy: %.3f' % (test_loss, 100. * correct / total)) # Save the model acc = 100. * correct / total if acc > best_acc: best_acc = acc # Plot the model info = {'test_loss': test_loss, 'test_accuracy': acc} for tag, value in info.items(): logger.scalar_summary(tag, value, epoch + 1) Test_Loss.append(test_loss) Test_Accuracy.append(100. * correct / total) epochs = 800 for epoch in range(start_epoch, start_epoch + epochs): train(epoch) val(epoch) test(epoch) x1 = np.arange(0, epochs) y10 = Train_Loss y11 = Test_Loss x2 = np.arange(0, epochs) y20 = Train_Accuracy y21 = Test_Accuracy plt.subplot(2, 1, 1) plt.title('Arch1_Multiple') plt.plot(x1, y10, 'o-', color='b', label='Train_Loss') plt.plot(x1, y11, 'o-', color='g', label='Test_Loss') plt.xlabel('Epochs') plt.ylabel('Loss') plt.legend() plt.subplot(2, 1, 2) plt.plot(x2, y20, 'o-', color='k', label='Train_Acc') plt.plot(x2, y21, 'o-', color='r', label='Test_Acc') plt.xlabel('Epochs') plt.ylabel('Acc') plt.legend() plt.tight_layout() plt.savefig("Result2.jpg") plt.show()

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""" implementation of Logistic regression with L2 regularization """ import matplotlib.pyplot as plt import numpy as np def load_data(): # https://archive.ics.uci.edu/ml/datasets/Haberman's+Survival data_file = np.genfromtxt('../../utils/datasets/supervised dataset/haberman.txt', delimiter=',') X = data_file[:, :2] y = data_file[:, 3] # labels are 1 (survived) and 2 (died) # change 2 to 0 y[y == 2] = 0 return X, y def sigmoid(x): return 1 / (1 + np.exp(-x)) def compute_loss(y_true, y_pred, weights, landa): # calculate loss epoch_loss = (-y_true * np.log(y_pred)) - ((1 - y_true) * np.log(1 - y_pred)) epoch_loss = np.sum(epoch_loss) # add L2 regularization # W.T@W = sum(W^2) epoch_loss += 0.5 * landa * (np.matmul(weights.T, weights)[0]) # No regularization on the bias so cancel it epoch_loss -= weights[0]**2 # Replace NaN with zero and infinity with large finite number # because the -log(x) and -log(1-x) have the tendency to return NaN or INF so we need to make it a number # making sure that the over all loss does not become INF epoch_loss = np.nan_to_num(epoch_loss) return epoch_loss def compute_gradients(X, y_true, y_pred, weights, landa): error = y_pred - y_true # compute gradients gradients = np.matmul(X.T, error) # the regularization derivative too gradients = gradients + (landa * weights) # Dont apply regularization on the bias so, cancel it gradients[0] -= landa * weights[0] return gradients def fit(X, y, learning_rate=0.0001, epochs=100, landa=0.01): # initialize the weights weights = np.random.random((X.shape[1], 1)) losses = [] for i in range(epochs): # make a prediction y_pred = sigmoid(np.matmul(X, weights)) epoch_loss = compute_loss(y, y_pred, weights, landa) # update the wights gradients = compute_gradients(X, y, y_pred, weights, landa) weights += -learning_rate * gradients print(f'Epoch = {i} , Loss = {epoch_loss}') losses.append(epoch_loss) # plot the training loss plt.plot(np.arange(0, epochs), losses) plt.xlabel('Epoch') plt.ylabel('Loss') plt.show() print('Weights: ' + str(weights)) if __name__ == '__main__': #X, y = load_data() from sklearn.datasets import make_blobs X, y = make_blobs(n_samples=1000, n_features=2, centers=2, random_state=14) # add a column for the bias (bias trick) ==> everything is vectorized ones_column = np.ones((X.shape[0], 1), np.float) X = np.append(ones_column, X, axis=1) y = y.reshape(y.shape[0], 1) fit(X, y, learning_rate=0.0001, epochs=100, landa=0)

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# Copyright (c) OpenMMLab. All rights reserved. from .camera import GaussianCamera, UniformCamera from .dual_discriminator import DualDiscriminator from .eg3d import EG3D from .eg3d_generator import TriplaneGenerator __all__ = [ 'DualDiscriminator', 'TriplaneGenerator', 'EG3D', 'UniformCamera', 'GaussianCamera' ]

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from rohdeschwarz.instruments.ospswitch import OspSwitch from ruamel import yaml import argparse import code import datetime import os import sys def main(): parser = argparse.ArgumentParser(description='Connect to a Rohde & Schwarz OSP Switch') parser.add_argument('--visa', metavar='bus', default=False, help="use VISA with 'bus'") parser.add_argument('--address', default='127.0.0.1', help='instrument address') parser.add_argument('--port', default=5025, type=int, help='port (TCP only)') parser.add_argument('--timeout', default=5000, type=int, help='default instrument timeout (ms)') parser.add_argument('--driver') parser.add_argument('--log', default='', help='SCPI command log filename') parser.add_argument('--log-to-stdout', action='store_true', help='print all SCPI IO to stdout') args = parser.parse_args() if args.log and args.log_to_stdout: print('error: cannot use both --log and --log-to-stdout') parser.print_help() if not args.driver: print('Switch matrix driver is required') parser.print_help() sys.exit(0) switch_dict = {} try: with open(args.driver, 'r') as f: switch_dict = yaml.safe_load(f.read()) assert switch_dict except: print('Could not read driver file') sys.exit(0) osp = OspSwitch(switch_dict) try: if args.visa: osp.open(args.visa, args.address) else: osp.open_tcp(args.address, args.port) if args.timeout: osp.timeout_ms = args.timeout if osp.connected(): print("connected: {0}".format(osp.id_string())) if args.log: osp.open_log(args.log) osp.log.write('{0}\n'.format(datetime.datetime.now())) osp.log.write('--------------------------\n\n') osp.print_info() elif args.log_to_stdout: vna.log = sys.stdout code.interact('', local=locals()) else: print('Could not connect to instrument\n') parser.print_help() except FileNotFoundError: print('Could not find driver') parser.print_help() except SystemExit: pass except: raise Exception('Error connecting to instrument') parser.print_help() finally: if osp.log: osp.close_log() if osp.connected(): osp.close() if __name__ == "__main__": main() sys.exit(0)

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"""requires_test(test_name_or_nodeid): Mark a test as requiring another test If another test is required to have run and passed before a suite of tests has any hope of succeeding, such as a smoke test, apply this mark to those tests. It takes a test name as the only positional argument. In the event that the test name is ambiguous, a full py.test nodeid can be used. A test's nodeid can be found by inspecting the request.node.nodeid attribute inside the required test item. """ import pytest _no_mark_arg_err = '%s mark required test name or nodeid as first argument' def pytest_configure(config): config.addinivalue_line("markers", __doc__) def _find_test_in_reports(test_id, reports): # nodeids end with the test name, so the description of this mark # oversimplifies things a little bit. The actual check for a test # match is that any preceding test nodeid ends with the arg passed # to the mark, so we can easily match the test name, test nodeid, and # anything in between. return any([report.nodeid.endswith(test_id) for report in reports]) def pytest_runtest_setup(item): mark = 'requires_test' if mark not in item.keywords: # mark wasn't invoked, short out return else: try: test_id = item.keywords[mark].args[0] except IndexError: # mark called incorrectly, explode raise Exception(_no_mark_arg_err % mark) reporter = item.config.pluginmanager.getplugin('terminalreporter') passed = reporter.stats.get('passed', []) failed = reporter.stats.get('failed', []) skipped = reporter.stats.get('skipped', []) if _find_test_in_reports(test_id, passed): # Required test passed, short out return if _find_test_in_reports(test_id, failed): error_verb = 'failed' elif _find_test_in_reports(test_id, skipped): error_verb = 'was skipped' else: error_verb = 'not yet run or does not exist' errmsg = 'required test %s %s' % (test_id, error_verb) pytest.skip(errmsg)

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"""Implement trie prefix tree leetcode Implement a trie with insert, search, and startsWith methods. """ class TrieNode(object): __slots__ = ('val', 'end', 'children') def __init__(self): """ Initialize your data structure here. """ self.val = None self.end = False self.children = {} class Trie(object): def __init__(self): """""" self.root = TrieNode() self.root.val = '' def insert(self, word): """ Inserts a word into the trie. :type word: str :rtype: void """ node = self.root for char in word: try: child = node.children[char] except KeyError: child = TrieNode() child.val = char node.children[char] = child node = child node.end = True def _end_node(self, string): """Return the last node given string path. :param string: str """ node = self.root for char in string: node = node.children[char] return node def search(self, word): """Returns if the word is in the trie. :type word: str :rtype: bool """ try: return self._end_node(word).end except KeyError: return False def startsWith(self, prefix): """Returns if there is any word starts with the given prefix. :type prefix: str :rtype: bool """ try: self._end_node(prefix) return True except KeyError: return False def main(): trie = Trie() trie.insert("somestring") assert trie.search("somestring") assert not trie.search("some") assert trie.startsWith("some") trie.insert('app') assert trie.search("app") trie.insert('apps') assert trie.search("app") trie.insert('apple') assert trie.search("app") if __name__ == '__main__': main()

[ "laituan1986@gmail.com" ]

laituan1986@gmail.com

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simsoon27/Microcontrollers

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import time import board import busio import adafruit_lsm6dsox i2c = busio.I2C(board.SCL, board.SDA) sox = adafruit_lsm6dsox.LSM6DSOX(i2c) while True: print("Acceleration: X:%.2f, Y: %.2f, Z: %.2f m/s^2"%(sox.acceleration)) print("Gyro X:%.2f, Y: %.2f, Z: %.2f degrees/s"%(sox.gyro)) print("") time.sleep(0.5)

[ "cmontalvo251@gmail.com" ]

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/test/SConsGnu/GVars/GVarDecls/sconstest-gvardecls3.py

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ptomulik/scons-gnu-build

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2021-01-18T20:30:00.986201

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# # Copyright (c) 2012-2014 by Pawel Tomulik # # 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 __docformat__ = "restructuredText" """ Tests declaring variables with SConsGnu.GVar.GVarDecls() factory method. """ import TestSCons ############################################################################## # GVarDecls(): Test 3 - using bare arguments instead of instances of _GVarDecl ############################################################################## test = TestSCons.TestSCons() test.dir_fixture('../../../../SConsGnu', 'site_scons/SConsGnu') test.write('SConstruct', """ # SConstruct from SConsGnu.GVars import GVarDecls, ENV, VAR, OPT x = ( {'env_x' : 'env x default'}, ('var_x', None, 'var x default'), ('-x', {'dest' : 'opt_x', 'default' : 'opt x default'}) ) y = [ {'env_y' : 'env y default'}, ('var_y', None, 'var y default'), ('-y', {'dest' : 'opt_y', 'default' : 'opt y default'}) ] list = [] list.append( GVarDecls(x = x, y = y) ) list.append( GVarDecls({'x' : x, 'y' : y}) ) i = 0 for v in list: for c in ['x', 'y']: print "GVARS[%d][%r].has_xxx_decl(ENV): %r" % (i, c, v[c].has_xxx_decl(ENV)) print "GVARS[%d][%r].has_xxx_decl(VAR): %r" % (i, c, v[c].has_xxx_decl(VAR)) print "GVARS[%d][%r].has_xxx_decl(OPT): %r" % (i, c, v[c].has_xxx_decl(OPT)) print "GVARS[%d][%r].get_xxx_key(ENV): %r" % (i, c, v[c].get_xxx_key(ENV)) print "GVARS[%d][%r].get_xxx_key(VAR): %r" % (i, c, v[c].get_xxx_key(VAR)) print "GVARS[%d][%r].get_xxx_key(OPT): %r" % (i, c, v[c].get_xxx_key(OPT)) print "GVARS[%d][%r].get_xxx_default(ENV): %r" % (i, c, v[c].get_xxx_default(ENV)) print "GVARS[%d][%r].get_xxx_default(VAR): %r" % (i, c, v[c].get_xxx_default(VAR)) print "GVARS[%d][%r].get_xxx_default(OPT): %r" % (i, c, v[c].get_xxx_default(OPT)) i += 1 """) test.run() lines = [ "GVARS[0]['x'].has_xxx_decl(ENV): True", "GVARS[0]['x'].has_xxx_decl(VAR): True", "GVARS[0]['x'].has_xxx_decl(OPT): True", "GVARS[0]['x'].get_xxx_key(ENV): 'env_x'", "GVARS[0]['x'].get_xxx_key(VAR): 'var_x'", "GVARS[0]['x'].get_xxx_key(OPT): 'opt_x'", "GVARS[0]['x'].get_xxx_default(ENV): 'env x default'", "GVARS[0]['x'].get_xxx_default(VAR): 'var x default'", "GVARS[0]['x'].get_xxx_default(OPT): 'opt x default'", "GVARS[0]['y'].has_xxx_decl(ENV): True", "GVARS[0]['y'].has_xxx_decl(VAR): True", "GVARS[0]['y'].has_xxx_decl(OPT): True", "GVARS[0]['y'].get_xxx_key(ENV): 'env_y'", "GVARS[0]['y'].get_xxx_key(VAR): 'var_y'", "GVARS[0]['y'].get_xxx_key(OPT): 'opt_y'", "GVARS[0]['y'].get_xxx_default(ENV): 'env y default'", "GVARS[0]['y'].get_xxx_default(VAR): 'var y default'", "GVARS[0]['y'].get_xxx_default(OPT): 'opt y default'", "GVARS[1]['x'].has_xxx_decl(ENV): True", "GVARS[1]['x'].has_xxx_decl(VAR): True", "GVARS[1]['x'].has_xxx_decl(OPT): True", "GVARS[1]['x'].get_xxx_key(ENV): 'env_x'", "GVARS[1]['x'].get_xxx_key(VAR): 'var_x'", "GVARS[1]['x'].get_xxx_key(OPT): 'opt_x'", "GVARS[1]['x'].get_xxx_default(ENV): 'env x default'", "GVARS[1]['x'].get_xxx_default(VAR): 'var x default'", "GVARS[1]['x'].get_xxx_default(OPT): 'opt x default'", "GVARS[1]['y'].has_xxx_decl(ENV): True", "GVARS[1]['y'].has_xxx_decl(VAR): True", "GVARS[1]['y'].has_xxx_decl(OPT): True", "GVARS[1]['y'].get_xxx_key(ENV): 'env_y'", "GVARS[1]['y'].get_xxx_key(VAR): 'var_y'", "GVARS[1]['y'].get_xxx_key(OPT): 'opt_y'", "GVARS[1]['y'].get_xxx_default(ENV): 'env y default'", "GVARS[1]['y'].get_xxx_default(VAR): 'var y default'", "GVARS[1]['y'].get_xxx_default(OPT): 'opt y default'", ] test.must_contain_all_lines(test.stdout(), lines) test.pass_test() # Local Variables: # # tab-width:4 # # indent-tabs-mode:nil # # End: # vim: set syntax=python expandtab tabstop=4 shiftwidth=4:

[ "ptomulik@meil.pw.edu.pl" ]

ptomulik@meil.pw.edu.pl

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/captain/__init__.py

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stmkza/arposandra

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2021-04-04T23:10:51.812090

2020-02-19T03:57:13

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import os import sys import configparser import gettext import logging import json from collections import namedtuple from tornado.web import Application from tornado import locale from . import database from . import dispatch from . import pages from . import card_page from . import pageutils from . import tlinject from . import news from . import card_tracking from . import event_tracker from . import dict_aggregator import libcard2 def readonly_app_path(*p): return os.path.join(os.path.dirname(__file__), *p) def create_runtime_info(): vi_class = namedtuple("runtime_info_t", ("app_revision", "host_id", "python_version")) return vi_class(os.environ.get("AS_GIT_REVISION"), os.environ.get("AS_HOST_ID"), sys.version) class DictionaryAccessProtocolImp(gettext.GNUTranslations): class Fallback(object): @classmethod def gettext(cls, k): return None def __init__(self, fp): super().__init__(fp) self.add_fallback(self.Fallback) def lookup_single_string(self, key): return self.gettext(key) def static_strings(): sd = {} catalog = readonly_app_path("gettext") for langcode in os.listdir(catalog): sd[langcode] = gettext.translation( "static", catalog, [langcode], DictionaryAccessProtocolImp ) return sd def find_astool_master_version(in_base): with open(os.path.join(in_base, "astool_store.json"), "r") as jsf: return json.load(jsf)["master_version"] def create_dict_aggregator(master, language): choices = {} extra = os.environ.get("AS_EXTRA_DICTIONARIES") if extra: for tag in extra.split(";"): rgn_tag, lang_code, name = tag.split(":") region_root = os.path.join(os.environ.get("AS_DATA_ROOT", "."), rgn_tag) base = os.path.join(region_root, "masters", find_astool_master_version(region_root)) logging.debug("Loading dictionary: %s", base) choices[lang_code] = dict_aggregator.Alternative( name, lang_code, libcard2.string_mgr.DictionaryAccess(base, lang_code) ) fallback = libcard2.string_mgr.DictionaryAccess(master, language) return dict_aggregator.DictionaryAggregator(fallback, choices) def application(master, language, debug): if os.environ.get("AS_TLINJECT_SECRET", ""): print("TLInject is enabled for this server.") locale.set_default_locale("en") locale.load_gettext_translations(readonly_app_path("gettext"), "tornado") strings = static_strings() db_coordinator = database.DatabaseCoordinator() application = Application( dispatch.ROUTES, db_coordinator=db_coordinator, master=libcard2.master.MasterData(master), string_access=create_dict_aggregator(master, language), image_server=os.environ.get("AS_IMAGE_SERVER"), tlinject_context=tlinject.TLInjectContext(db_coordinator), news_context=news.NewsDatabase(db_coordinator), card_tracking=card_tracking.CardTrackingDatabase(db_coordinator), event_tracking=event_tracker.EventTrackingDatabase(db_coordinator), template_path=readonly_app_path("webui"), runtime_info=create_runtime_info(), tlinject_secret=os.environ.get("AS_TLINJECT_SECRET", "").encode("utf8"), ui_methods=pageutils.UI_METHODS, static_path=readonly_app_path("static"), static_strings=strings, debug=debug, autoreload=debug, ) return application

[ "summertriangle.dev@gmail.com" ]

summertriangle.dev@gmail.com

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/YjwJ6BfujKtmuTMqW_5.py

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[]

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daniel-reich/ubiquitous-fiesta

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refs/heads/master

2023-04-05T06:40:37.328213

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def dice_game(scores): # this is a hot mess but stfu I'm learning players = ["1", "2", "3", "4"] n = len(players) while n > 1: this_round = scores[:n] scores = scores[n:] totals = [sum(dice) for dice in this_round] lowest = min(totals) if totals.count(lowest) == 1: i = totals.index(lowest) players.pop(i) n -= 1 else: indices = [i for i in range(n) if totals[i] == lowest] firsts = [this_round[i][0] for i in range(n) if totals[i] == lowest] lowest = min(firsts) if firsts.count(lowest) == 1: i = firsts.index(lowest) players.pop(indices[i]) n -= 1 return "p{}".format(players[0])

[ "daniel.reich@danielreichs-MacBook-Pro.local" ]

daniel.reich@danielreichs-MacBook-Pro.local

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/tests/wasp1/AllAnswerSets/builtins_10a.test.py

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2021-06-08T11:58:25.080818

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input = """ a("10.28399"). a("3.7"). b(X,Y) :- a(X), a(Y), X > Y. """ output = """ {a("10.28399"), a("3.7"), b("3.7","10.28399")} """

[ "mario@alviano.net" ]

mario@alviano.net

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/Python 2000/objectcontent.py

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[]

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BrainiacRawkib/Practical-Python-for-Begineers

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refs/heads/master

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class Foo(): zname = 'init.name' def __enter__(self): # with block self.zname = 'with.enter.name' def __exit__(self, xtype, xval, trace): self.zname = 'with.exit.name' def name(self): return self.zname # Just an object bla = Foo() # Consistent block entry / exit values print('pre:\t', bla.name()) # True if True: print('block:\t', bla.name()) # normal # Activate __enter__ via 'with' try: with bla: print('with:\t', bla.name()) # enter block print('xblock:\t', bla.name()) # exit block finally: print('finally:', bla.name()) # exit block print('post:\t', bla.name(), 'still!')

[ "brainiacrawkib@gmail.com" ]

brainiacrawkib@gmail.com

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/Python/Games/Dementia RL/tdlib/noise.py

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[]

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NateWeiler/Resources

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[ "nateweiler84@gmail.com" ]

nateweiler84@gmail.com

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/bluebottle/bb_payouts/utils.py

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2020-03-27T03:20:11.465491

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import decimal import datetime from django.conf import settings from django.utils import timezone VAT_RATE = decimal.Decimal(settings.VAT_RATE) def money_from_cents(amount): """ Convert monetary amount from cents into a Decimal working with the MoneyField. >>> money_from_cents(1000) Decimal('10') """ # Make sure integer work too amount = float(amount) return decimal.Decimal(str(amount / 100)) def round_money(amount): """ Round monetary values specified as Decimal (2 decimals), used for displaying results of calculations. """ assert isinstance(amount, decimal.Decimal) return amount.quantize(decimal.Decimal('.01'), rounding=decimal.ROUND_HALF_DOWN) def calculate_vat(amount): """ Calculate VAT over exclusive amount according to default percentage. >>> calculate_vat(decimal.Decimal('10')) Decimal('2.10') """ return round_money(amount * VAT_RATE) def calculate_vat_inclusive(amount): """ Calculate the inclusive amount for amounts excluding VAT. >>> calculate_vat_inclusive(decimal.Decimal('10')) Decimal('12.10') """ factor = VAT_RATE + decimal.Decimal('1.00') return round_money(amount * factor) def calculate_vat_exclusive(amount): """ Calculate the exclusive amont for amounts including VAT. >>> calculate_vat_exclusive(decimal.Decimal('12.10')) Decimal('10.00') """ factor = VAT_RATE + decimal.Decimal('1.00') return round_money(amount / factor) def date_timezone_aware(date): """ Create timezone aware datetime equivalent of date, corresponding with midnight. """ midnight = datetime.time(0, 0) default_zone = timezone.get_default_timezone() dt = datetime.datetime.combine(date, midnight) dt = timezone.make_aware(dt, default_zone) return dt

[ "loek@1procentclub.nl" ]

loek@1procentclub.nl

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/base/virtualenv.py

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[]

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chydream/python

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refs/heads/master

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# pip install virtualenv # virtualenv django1.11 # cd Scripts # 进入/退出虚拟环境：activate/deactivate # pip install django==1.11 # pip install flask # pip install virtualenvwrapper-win workon # pip install pipenv # mkdir py26 # cd py26 # pipenv --python 2.7 # pipenv shell # exit() # pipenv install requests # pipenv --help/graph

[ "yong.chen@doone.com.cn" ]

yong.chen@doone.com.cn

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/Connect Four/main.py

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[]

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PuffyShoggoth/hatch

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refs/heads/master

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from tkinter import * from board import Board from ai import Ai from functools import partial f = Frame() f.pack() a = Ai(4) buttons = [[] for i in range(7)] locked = False emptyhash = 0 for i in range(7): for j in range(6): emptyhash^=a.hashvals[i][j][1] b = Board([[] for i in range(7)], emptyhash) def disp(message): global locked, r locked = True r = Tk() r.protocol("WM_DELETE_WINDOW", newgame) Label(r, text=message).pack() Button(r, text="Okay", command=newgame).pack() def addpiece(column): global buttons, b, a, locked if len(b.board[column])==6 or locked: #print(b.board) return buttons[column][len(b.board[column])].config(bg = 'red') b.hash^=a.hashvals[column][len(b.board[column])][1]^a.hashvals[column][len(b.board[column])][2] b.board[column].append(1) if b.eval()== 9999998: disp("Player wins") return a.bestmove = -1 a.negamax(b, 4, -9999999, 9999999, -1) buttons[a.bestmove][len(b.board[a.bestmove])].config(bg = 'yellow') b.hash^=a.hashvals[a.bestmove][len(b.board[a.bestmove])][0]^a.hashvals[a.bestmove][len(b.board[a.bestmove])][1] b.board[a.bestmove].append(-1) if b.eval()== -9999998: disp("Computer wins") return elif sum(len(i) for i in b.board)==42: disp("It's a tie") return def newgame(): global b, locked, r locked = False r.destroy() for i in buttons: for j in i: j.config(bg="white") b = Board([[] for i in range(7)], emptyhash) #print(b.board) for i in range(7): for j in range(6): butt = Button(f, width = 10, height = 5, bg="white", command = partial(addpiece, i)) butt.grid(row = 5-j, column = i) buttons[i].append(butt) mainloop()

[ "shaar@utschools.ca" ]

shaar@utschools.ca

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/features/himario/mmediting/mmedit/models/backbones/encoder_decoders/gl_encoder_decoder.py

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permissive

obarnard99/vilio

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refs/heads/master

2023-06-29T17:02:02.282457

2021-06-22T09:50:11

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MIT

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import torch.nn as nn from mmcv.runner import auto_fp16, load_checkpoint from mmedit.models.builder import build_component from mmedit.models.registry import BACKBONES from mmedit.utils import get_root_logger @BACKBONES.register_module() class GLEncoderDecoder(nn.Module): """Encoder-Decoder used in Global&Local model. This implementation follows: Globally and locally Consistent Image Completion The architecture of the encoder-decoder is:\ (conv2d x 6) --> (dilated conv2d x 4) --> (conv2d or deconv2d x 7) Args: encoder (dict): Config dict to encoder. decoder (dict): Config dict to build decoder. dilation_neck (dict): Config dict to build dilation neck. """ def __init__(self, encoder=dict(type='GLEncoder'), decoder=dict(type='GLDecoder'), dilation_neck=dict(type='GLDilationNeck')): super(GLEncoderDecoder, self).__init__() self.encoder = build_component(encoder) self.decoder = build_component(decoder) self.dilation_neck = build_component(dilation_neck) # support fp16 self.fp16_enabled = False @auto_fp16() def forward(self, x): """Forward Function. Args: x (torch.Tensor): Input tensor with shape of (n, c, h, w). Returns: torch.Tensor: Output tensor with shape of (n, c, h', w'). """ x = self.encoder(x) if isinstance(x, dict): x = x['out'] x = self.dilation_neck(x) x = self.decoder(x) return x def init_weights(self, pretrained=None): """Init weights for models. Args: pretrained (str, optional): Path for pretrained weights. If given None, pretrained weights will not be loaded. Defaults to None. """ if isinstance(pretrained, str): logger = get_root_logger() load_checkpoint(self, pretrained, strict=False, logger=logger) elif pretrained is None: # Here, we just use the default initialization in `ConvModule`. pass else: raise TypeError('pretrained must be a str or None')

[ "obarnard99@gmail.com" ]

obarnard99@gmail.com

97b0c1f5cf34e192fe99aaa9a7dd3a98c3c4aef8

b9360389f3345c550250a1bd5a5fe58bd7410a71

/wlct/migrations/0011_auto_20190424_1339.py

a2afd906d1ce15b09ffe3076dc44e15ad81ef9cc

[]

no_license

JustinR17/wzclot

d6f4bd8b46240abbeaa51837c1de1f3115554f17

4fa29666eb72aafee28bf57898fecc679fb3d4bb

refs/heads/master

2023-02-07T22:43:13.827383

2021-12-30T22:34:39

241,187,417

0

null

2020-02-17T19:14:01

2020-02-17T19:14:00

null

UTF-8

Python

false

1,980

py

# Generated by Django 2.1.4 on 2019-04-24 20:39 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('wlct', '0010_auto_20190423_1427'), ] operations = [ migrations.CreateModel( name='RoundRobinTournament', fields=[ ('tournament_ptr', models.OneToOneField(auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to='wlct.Tournament')), ('type', models.CharField(default='Round Robin', max_length=255)), ('games_at_once', models.IntegerField(default=2)), ('first_place', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='first_place', to='wlct.TournamentTeam')), ('second_place', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='second_place', to='wlct.TournamentTeam')), ], bases=('wlct.tournament',), ), migrations.AlterField( model_name='groupstagetournamentgroup', name='first_place', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='first_place_group', to='wlct.TournamentTeam'), ), migrations.AlterField( model_name='groupstagetournamentgroup', name='second_place', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='second_place_group', to='wlct.TournamentTeam'), ), migrations.AddField( model_name='groupstagetournamentgroup', name='round_robin_tournament', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, to='wlct.RoundRobinTournament'), ), ]

[ "brendanflynn@outlook.com" ]

brendanflynn@outlook.com

273f87892d2804ebef8f3e0b4dbd80381774b995

470e0d4101bf9ca6d22a515e84e591ce37019ca2

/back/view.py

b450d5005a7317a5a67084043e8f52db41e59b6d

[]

no_license

chenzh111/myblog

9eedad7bf4601b8235f290f5592a4d19189954e6

545c47cb3dd0a0441029c0281c69ab561b369580

refs/heads/master

2020-05-17T02:52:17.908901

2019-04-25T16:00:03

183,464,288

0

null

UTF-8

Python

false

6,943

py

from datetime import datetime from flask import render_template, request, redirect, session from werkzeug.security import generate_password_hash, check_password_hash from flask import Blueprint from back.model import Article, db, User, Articletype from utils.functions import login_required blue = Blueprint('app',__name__) # 跳转到注册页面 @blue.route('/',methods=['GET']) def aa(): return redirect('/register/') # 注册 @blue.route('/register/',methods=["GET","POST"]) def register(): if request.method =="GET": return render_template('back/register.html') if request.method == "POST": username = request.form.get("username") password = request.form.get("password") password2 = request.form.get("password2") if username and password and password2: user = User.query.filter(User.username == username).first() if user: error = "该账号已经被注册了" return render_template('back/register.html',error = error) else: if password2 == password: user = User() user.username = username user.password = generate_password_hash(password) user.save() return redirect('/login/') else: error = '您两次输入的密码不一样，注册失败' return render_template('back/register.html',error = error) else: error = '请填写完整的信息进行注册' return render_template('back/register.html',error = error) # 登录 @blue.route('/login/',methods=["GET","POST"]) def login(): if request.method =="GET": return render_template('back/login.html') if request.method == "POST": username = request.form.get("username") password = request.form.get("password") if username and password: user = User.query.filter(User.username == username).first() if not user: error = '账号不存在，请注册后登陆' return render_template('back/login.html',error=error) if not check_password_hash(user.password,password): error = '密码错误，请重新输入' return render_template('back/login.html',error=error) session['user_id'] = user.id return redirect('/index/') else: error = '请输入完整信息' return render_template('back/login.html',error=error) # 后台主页 @blue.route('/index/',methods=['GET']) @login_required def index(): sum = Article.query.count() return render_template('back/index.html', sum=sum) @blue.route('/add-article/',methods=['GET']) def add_article(): name = Articletype.query.order_by(Articletype.id).all() time = datetime.now() return render_template('back/add-article.html',time=time,name=name) @blue.route('/add-category/',methods=['GET']) def add_category(): return render_template('back/add-category.html') @blue.route('/article/',methods=['GET']) def article(): title = Article.query.all() sum = Article.query.count() return render_template('back/article.html',title = title, Articletype=Articletype, sum=sum ) @blue.route('/category/',methods=['GET']) def category(): name = Articletype.query.order_by(Articletype.id).all() sum = Articletype.query.count() return render_template('back/category.html',name=name, sum=sum) @blue.route('/update-article/',methods=['GET']) def update_article(): name = request.args.to_dict().keys() for name3 in name: name2 = Article.query.filter_by(title=name3).first() content = name2.content desc = name2.desc type = name2.type id = name2.id name1 = Articletype.query.order_by(Articletype.id).all() Id = Articletype.query.filter(Articletype.id ==type).first().t_name return render_template('back/update-article.html',name=name,name1=name1,content=content,desc=desc,type=type,id=id,Article=Article,Id=Id) @blue.route('/update-category/',methods=['GET']) def update_category(): name = request.args.to_dict().keys() return render_template('back/update-category.html',name=name) @blue.route('/Category/update/',methods=['GET', 'POST']) def category_update(): name = request.args.to_dict().keys() for x in name: name1 = x name = request.form.get('name') name2 = Articletype.query.filter_by(t_name = name1).first() name2.t_name = name db.session.commit() return redirect('/category/') @blue.route('/Article/update/',methods=['GET', 'POST']) def article_update(): titles = request.args.to_dict().keys() for x in titles: name1 = x title = request.form.get('title') content = request.form.get('content') desc = request.form.get('describe') type = request.form.get('category') name2 = Article.query.filter_by(title = name1).first() name2.title = title name2.content = content name2.desc = desc name2.type = type db.session.commit() return redirect('/article/') @blue.route('/delete-category/',methods=['GET','POST']) def delete_category(): name = request.args.to_dict().keys() for x in name: name1 = x name2 = Articletype.query.filter_by(t_name=name1).first() db.session.delete(name2) db.session.commit() return redirect('/category/') @blue.route('/delete-article/',methods=['GET','POST']) def delete_article(): name = request.args.to_dict().keys() for x in name: # name1 = x name2 = Article.query.filter_by(title=x).first() db.session.delete(name2) db.session.commit() return redirect('/article/') # 删除 @blue.route('/article/checkall/',methods=['GET', 'POST']) def article_chenkall(): title = request.form.getlist('checkbox[]') if title is not None: for title in title: name2 = Article.query.filter_by(title=title).first() db.session.delete(name2) db.session.commit() else: pass return redirect('/article/') # 创建数据库 @blue.route('/create/') def create(): db.create_all() return "xinjian" @blue.route('/article/add/',methods=['GET','POST']) def article_add(): category = request.form.get("category") art = Article() art.type = category art.title = request.form.get('title') art.content = request.form.get('content') art.desc = request.form.get("describe") if art.title and art.content and art.desc: art.save() else: return render_template('back/add-article.html') return redirect('/article/') @blue.route('/category/add/',methods=['GET','POST']) def category_add(): type = Articletype() type.t_name = request.form.get('name') type.save() return redirect('/category/')

[ "you@example.com" ]

you@example.com

5890e87f6173b5cb9740d08aa216544fe73865bb

dffe32dc7f1819217168c42234cc148b142ebe10

/scripts/download.py

b489821a7590b1f3f7db8fa3e35364f47776e3f5

[]

no_license

willgdjones/HistoVAE

d4070b991877fb0be83b42b0c110ece6c47563e1

5956447b703b5d06115e54843df8c9528a7c1943

refs/heads/master

2022-12-12T04:28:06.829139

2018-10-18T09:52:25

114,638,657

10

2

null

2022-12-08T02:22:28

2017-12-18T12:30:02

Python

UTF-8

Python

false

903

py

import sys import requests.packages.urllib3 import click import os import logging requests.packages.urllib3.disable_warnings() sys.path.append('.') from src.classes import Dataset logger = logging.getLogger(__name__) @click.command() @click.option( '--n_images', default=10, help="Number of images per tissue" ) @click.option( '--n_tissues', default=6, help="Number of tissues with most numbers of samples" ) def main(n_images, n_tissues): os.makedirs('data/images', exist_ok=True) logger.info('Initializing download script') dataset = Dataset(n_images=n_images, n_tissues=n_tissues) dataset.download() if __name__ == '__main__': logging.basicConfig( filename='logs/download.log', level=logging.DEBUG, format=( "%(asctime)s | %(name)s | %(processName)s | " "%(levelname)s: %(message)s" ) ) main()

[ "williamgdjones@gmail.com" ]

williamgdjones@gmail.com

0b096b3ed4acff128d708bd97fa00312a842e694

9a5438bdb8e84d0167ddea5458a7f729fdd54121

/MetaDataApi/tests/test_utils/test_buildDjangoSearchArgs.py

c210a9521f6cdff2456689f3ca027663c69f3df6

[]

no_license

Grusinator/MetaDataApi

740fd2be4cb97b670f827a071a0ac8c50f79f8ff

081f881c735466ed1dbbd68646b821299c5168f8

refs/heads/master

2023-07-25T23:58:22.179717

2020-03-15T09:36:05

149,087,967

5

1

null

2023-07-25T15:39:12

2018-09-17T07:45:09

CSS

UTF-8

Python

false

1,302

py

import django from django.test import TransactionTestCase from MetaDataApi.utils.django_utils import BuildDjangoSearchArgs class test_buildDjangoSearchArgs(TransactionTestCase): # Django requires an explicit setup() when running tests in PTVS @classmethod def setUpClass(cls): super(test_buildDjangoSearchArgs, cls).setUpClass() django.setup() def test_build_search_args_from_json(self): # data = UtilsForTesting.loadStravaActivities() data = { "object1": { "Attribute1": 3, "Attribute2": {"value": "att2value"}, "object2": { "attribute3": True, "attribute4": 5.04 } } } builder = BuildDjangoSearchArgs() args = builder.build_from_json(data) expected = { 'from_edge__from_object__label': 'object1', 'from_edge__from_object__from_edge__from_object__label__in': ['Attribute1', 'Attribute2', 'object2'], 'from_edge__from_object__from_edge__from_object__from_edge__from_object__label__in': ['attribute3', 'attribute4'] } self.assertEqual(args, expected)

[ "grusinator@gmail.com" ]

grusinator@gmail.com

8eb431bf2b7b5607bbc88c85c0e16d7c725be8ef

5ff8cefa68d52d2427bb3d35320cd8bd0d072968

/Tuples/Ten_most_repititive_words_from_file.py

b6669b1c49adcea563f57b5a8309203017b378e9

[]

no_license

gsudarshan1990/PythonSampleProjects

a65a111454f8dc551f1cd29901cead0798ad6dc3

3c1a5174c5f966b0eed2828221add76ec0d019d5

refs/heads/master

2020-05-09T16:02:37.743568

2019-07-14T06:22:55

181,255,262

1

0

null

UTF-8

Python

false

721

py

""" Find the 10 most repititive words """ import string filename=input('Enter the file name') try: filehandle=open(filename) except IOError as argument: print('Could not open the file') print(argument) exit() word_dictionary=dict() for line in filehandle: line=line.translate(str.maketrans('','',string.punctuation)) line=line.rstrip() words=line.split() for word in words: word_dictionary[word]=word_dictionary.get(word,0)+1 print(word_dictionary) list_value_key=list() for key,value in word_dictionary.items(): list_value_key.append((value,key)) list_value_key_sorted=sorted(list_value_key,reverse=True) for key,value in list_value_key_sorted[:10]: print(key,value)

[ "sudharshan.govindarajan@ey.com" ]

sudharshan.govindarajan@ey.com

e349259897bdd4b47f9069b2a79a212c9fb95105

0cf7dd2c3c0b28b52f1273e8fe2ea0a87cacc6af

/Other_Algorithms/Page-Rank_algorithm.py

257f973d0829fcb8ce938cae730675e41299a2ce

[]

no_license

EngrDevDom/Everyday-Coding-in-Python

61b0e4fcbc6c7f399587deab2fa55763c9d519b5

93329ad485a25e7c6afa81d7229147044344736c

refs/heads/master

2023-02-25T05:04:50.051111

2021-01-30T02:43:40

274,971,215

1

0

null

UTF-8

Python

false

1,382

py

# Page Rank Algorithm """ The Page Rank algorithm is applicable in web pages. Web page is a directed graph, we know that the two components of Directed graphs are -nodes and connections. The pages are nodes and hyperlinks are the connections, the connection between two nodes. We can find out the importance of each page by the Page Rank and it is accurate. The value of Page Rank is the probability will be between 0 and 1. The Page Rank value of individual node in a graph depends on the Page Rank value of all nodes which connect to it and those nodes are cyclically connected to the nodes whose ranking we want, we use converging iterative method for assigning values to Page Rank. """ import numpy as np import scipy as sc import pandas as pd from fractions import Fraction def display_format(my_vector, my_decimal): return np.round((my_vector).astype(np.float), decimals=my_decimal) my_dp = Fraction(1,3) Mat = np.matrix([[0,0,1], [Fraction(1,2),0,0], [Fraction(1,2),1,0]]) Ex = np.zeros((3,3)) Ex[:] = my_dp beta = 0.7 Al = beta * Mat + ((1-beta) * Ex) r = np.matrix([my_dp, my_dp, my_dp]) r = np.transpose(r) previous_r = r for i in range(1,100): r = Al * r print(display_format(r,3)) if (previous_r==r).all(): break previous_r = r print("Final: \n", display_format(r,3)) print("Sum: ", np.sum(r))

[ "60880034+EngrDevDom@users.noreply.github.com" ]

60880034+EngrDevDom@users.noreply.github.com

036c90c27ad291c077b467be837247756e9b287d

1f08436bab6cd03bcfb257e8e49405cbc265195a

/1_Basic_I/Basic/40.py

229ea4394a7ac7e7ccb627f27a4c9b5fd1e54eec

[]

no_license

kuchunbk/PythonBasic

e3ba6322f256d577e37deff09c814c3a374b93b2

a87135d7a98be8830d30acd750d84bcbf777280b

refs/heads/master

2020-03-10T04:28:42.947308

2018-04-17T04:25:51

129,192,997

0

null

UTF-8

Python

false

438

py

import math def calculate_distance(input_xa, input_ya, input_xb, input_yb): distance = math.sqrt((input_xa - input_xb) ** 2 + (input_ya - input_yb) ** 2) return distance if __name__ == "__main__": input_xa = float(input('xa')) input_ya = float(input('ya')) input_xb = float(input('xb')) input_yb = float(input('yb')) print(calculate_distance(input_xa, input_ya, input_xb, input_yb))

[ "kuchunbk@gmail.com" ]

kuchunbk@gmail.com

e4f524c34ba0082859ddb9941baece1aca2e4699

72c4cea551df0bee51c5740926b2fdb1feaf3470

/tools/extjs_cc/js_util_types.py

73c302d3e7b293be2584a95ad8a69eb0447b1b2d

[ "MIT" ]

permissive

joeedh/fairmotion

2955fda64b36a634c42c3382b20f18dae189d13f

fc0bca395057cd3e78f91bcb1796b6c5eda73d2b

refs/heads/master

2023-05-26T20:03:51.583970

2023-05-14T16:07:53

34,099,859

1

0

MIT

2023-03-05T21:45:57

2015-04-17T06:13:09

JavaScript

UTF-8

Python

false

1,200

py

class SortedDict (dict): def __iter__(self): return self.keys() def keys(self): keys = [] for k in dict.keys(self): keys.append(k) keys.sort() return keys class odict: def __init__(self): self.items = [] self.dict = {} self.keypos = {} def __setitem__(self, key, value): if key not in self.dict: self.items.append(key) self.keypos[key] = len(self.items)-1 self.dict[key] = value def __getitem__(self, key): return self.dict[key] def __delitem__(self, key): i = self.keypos[key] self.items.pop(i) del self.keypos[key] del self.dict[key] def __contains__(self, key): return key in self.dict def __len__(self): return len(self.dict) def __iter__(self): return iter(self.items) def keys(self): return list(self.items) def values(self): vs = [] for k in self.items: vs.append(self.dict[k]) return vs def __str__(self): s = "odict{" for i, k in enumerate(self.items): if i > 0: s += ", " s += "%s: %s" % (str(k), str(self[k])) s += "}" return s def __repr__(self): return str(self)

[ "joeedh@gmail.com" ]

joeedh@gmail.com

96e30180d97e49f108b03f284c1cd9180a406a6f

4ca8df3a127e9b15cbfecea6505928741f685a63

/case_crawler/apps/anjuke/anjuke_detail.py

2056d2c0dd518496541867711808fcc9a781663f

[]

no_license

gongfei6644/gongfei

2beb082c56197bc23ca20a6927ff6c10d8beaa83

bfdd5e6a3a8d76ad1e43cf54df186b944cad29e4

refs/heads/master

2022-11-30T20:49:22.213040

2020-08-16T12:52:28

286,283,597

0

null

UTF-8

Python

false

4,761

py

from lxml import etree import datetime import time import requests import json import re import bs4 class KeParse: def parse_xpath(self, html_str): # print('======================html_str===========================') dic = {} if html_str['str'] == '404': now_time = datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S') dic['d_status'] = 0 dic['detail_time'] = now_time return dic if html_str['str'] and html_str['str'] != '404': html = etree.HTML(html_str['str']) # 楼盘名 dic["project_name"] = html.xpath('string(//div[contains(text(), "所属小区")]/following-sibling::*[1]/a/text())') # 朝向 try: dic['orientation'] = html.xpath("string(//node()[contains(text(),'房屋朝向：')]/following-sibling::div[1]/text())").strip() except Exception as e: dic['orientation'] = '' # 装修 try: dic['decoration'] = html.xpath("string(//node()[contains(text(),'装修程度：')]/following-sibling::div[1]/text())").strip() except Exception as e: # print(e) dic['decoration'] = '' # 解析有无电梯 //node()[text()='有无电梯']/following-sibling::*[1]/text() try: dic['is_elevator'] = html.xpath("//node()[text()='配套电梯：']/following-sibling::div[1]/text()")[0].strip() except Exception as e: dic['is_elevator'] = '' # 解析产权性质 try: dic['property_nature'] = html.xpath("//node()[text()='产权性质：']/following-sibling::div[1]/text()")[0].strip() except Exception as e: dic['property_nature'] = '' # 住宅类别 try: dic['usage'] = html.xpath("//node()[text()='房屋类型：']/following-sibling::div[1]/text()")[0].strip() except Exception as e: dic['usage'] = '' # 建筑结构 try: dic['building_structure'] = html.xpath("//node()[text()='建筑结构：']/following-sibling::div[1]/text()")[0].strip() except Exception as e: dic['building_structure'] = '' # 建筑类别 try: dic['building_type'] = html.xpath("//node()[text()='建筑类别：']/following-sibling::div[1]/text()")[0].strip() except Exception as e: dic['building_type'] = '' # 挂牌时间案例时间 # case_happen_date try: dic['case_happen_date'] = html.xpath("//node()[contains(text(),'发布时间')]/text()")[0].strip().split('：')[1] array = time.strptime(dic['case_happen_date'], "%Y年%m月%d日") # print(dic['case_happen_date']) dic['case_happen_date'] = time.strftime("%Y-%m-%d", array) except Exception as e: print('case_happen_date', e) dic['case_happen_date'] = '' # 建筑年代 try: dic['build_date'] = html.xpath("//node()[text()='建造年代：']/following-sibling::div[1]/text()")[0].strip() except Exception as e: dic['build_date'] = '' # 小区配套 try: dic['supporting_facilities'] = html.xpath("string(//node()[text()='小区配套']/following-sibling::div[1]/text())").strip() except Exception as e: dic['supporting_facilities'] = '' # 联系电话 try: dic['tel'] = html.xpath("string(//span[@id='mobilecode'])") except Exception as e: dic['tel'] = '' # dic['test'] = 'mogu' if dic['case_happen_date'] or dic['orientation'] or dic['build_date']: now_time = datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S') dic['d_status'] = 1 # dic['test'] = 1 dic['detail_time'] = now_time if dic['is_elevator'] == '有': if dic['supporting_facilities']: dic['supporting_facilities'] = dic['supporting_facilities'] + ',电梯' else: dic['supporting_facilities'] = dic['supporting_facilities'] + '电梯' print(11111, dic) return dic else: now_time = datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S') dic['d_status'] = 'err' dic['detail_time'] = now_time return dic

[ "1" ]

1

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/sample/searchthu.py

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[]

no_license

cothuyanninh/Python_Code

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import re var_search = re.compile(r'\d+\s\w+') result = var_search.findall('12 bananas , 11 apple , 10 nhan , 9 buoi') print(result)

[ "cothuyanninh@gmail.com" ]

cothuyanninh@gmail.com

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/xai/brain/wordbase/nouns/_wolfs.py

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cash2one/xai

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from xai.brain.wordbase.nouns._wolf import _WOLF #calss header class _WOLFS(_WOLF, ): def __init__(self,): _WOLF.__init__(self) self.name = "WOLFS" self.specie = 'nouns' self.basic = "wolf" self.jsondata = {}

[ "xingwang1991@gmail.com" ]

xingwang1991@gmail.com

966d01d06a1e477526327db6dcde20f9bde29880

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/client/trinutils/driverutils.py

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[]

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connoryang/dec-eve-serenity

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#Embedded file name: e:\jenkins\workspace\client_SERENITY\branches\release\SERENITY\packages\trinutils\driverutils.py import trinity class CannotIdentifyDriverException(Exception): def __init__(self, vendor, description = 'NA'): msg = str("Unable to retrieve info from %s card. Please ensure that you're using the right drivers or graphics card. /nDriver Description: %s" % (vendor, description)) super(Exception, self).__init__(self, msg) def GetDriverVersion(): adapter = trinity.adapters.GetAdapterInfo(trinity.adapters.DEFAULT_ADAPTER) if 'nvidia' not in adapter.description.lower(): raise CannotIdentifyDriverException('Unknown', adapter.description) try: info = adapter.GetDriverInfo() except trinity.ALError: raise CannotIdentifyDriverException('NVidia', adapter.description) def getDriverVersionNumber(driverInfo): verInfo = driverInfo.driverVersionString.replace('.', '') return int(verInfo[-5:]) return getDriverVersionNumber(info)

[ "masaho.shiro@gmail.com" ]

masaho.shiro@gmail.com

68b975e902a1a409aca00a40b7899bf7cd971a86

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/Python_codes/p02414/s302351716.py

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[]

no_license

Aasthaengg/IBMdataset

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2023-04-22T10:22:44.763102

2021-05-13T17:27:22

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n, m, l = map(int, input().split()) a = [[int(num) for num in input().split()] for i in range(n)] b = [[int(num) for num in input().split()] for i in range(m)] c = [[0 for i in range(l)] for j in range(n)] for i in range(l): for j in range(n): for k in range(m): c[j][i] += a[j][k] * b[k][i] for i in range(n): for j in range(l): if j == l - 1: print(c[i][j]) else: print("{0} ".format(c[i][j]), end = "")

[ "66529651+Aastha2104@users.noreply.github.com" ]

66529651+Aastha2104@users.noreply.github.com

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/xai/brain/wordbase/nouns/_pulped.py

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cash2one/xai

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refs/heads/master

2021-01-19T12:33:54.964379

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from xai.brain.wordbase.nouns._pulp import _PULP #calss header class _PULPED(_PULP, ): def __init__(self,): _PULP.__init__(self) self.name = "PULPED" self.specie = 'nouns' self.basic = "pulp" self.jsondata = {}

[ "xingwang1991@gmail.com" ]

xingwang1991@gmail.com

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/tests/port_tests/contour_tests/test_is_clockwise.py

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permissive

lycantropos/martinez

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refs/heads/master

2021-07-10T04:19:23.372706

2020-11-28T00:58:47

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MIT

2020-12-20T15:47:17

2019-11-29T09:16:26

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py

from hypothesis import given from tests.port_tests.hints import PortedContour from tests.utils import implication from . import strategies @given(strategies.contours) def test_basic(contour: PortedContour) -> None: result = contour.is_clockwise assert isinstance(result, bool) @given(strategies.contours) def test_empty(contour: PortedContour) -> None: assert implication(not contour.points, not contour.is_clockwise) @given(strategies.contours) def test_reversed(contour: PortedContour) -> None: reversed_contour = PortedContour(contour.points[::-1], contour.holes, contour.is_external) assert implication(bool(contour.points), contour.is_clockwise is not reversed_contour) @given(strategies.contours) def test_alternatives(contour: PortedContour) -> None: assert implication(contour.is_clockwise, not contour.is_counterclockwise)

[ "azatibrakov@gmail.com" ]

azatibrakov@gmail.com

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/src/normalize_punctuation.py

66a0b59c9bee6caffca0103460658e2221b1dd93

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permissive

StevenLOL/mtnt

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1781119df75378c4e2db12315adfbbfa66031f4d

refs/heads/master

2020-03-28T03:23:58.176606

2018-08-31T16:02:01

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UTF-8

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py

# -*- coding: utf-8 -*- import re def normalize_punctuation(s): """Adapted from https://github.com/moses-smt/mosesdecoder/blob/master/scripts/tokenizer/normalize-punctuation.perl""" s = re.sub(r"\r", r"", s) # remove extra spaces s = re.sub(r"$", r" \(", s) s = re.sub(r"$", r"\) ", s) s = re.sub(r" +", r" ", s) s = re.sub(r"\) ([\.\!\:\?\;\,])", r"\)$1", s) s = re.sub(r"$ ", r"\(", s) s = re.sub(r" $", r"\)", s) s = re.sub(r"(\d) \%", r"$1\%", s) s = re.sub(r" :", r":", s) s = re.sub(r" ;", r";", s) s = re.sub(r"„", r'"', s) s = re.sub(r"“", r'"', s) s = re.sub(r"”", r'"', s) s = re.sub(r"–", r"-", s) s = re.sub(r"—", r" - ", s) s = re.sub(r" +", r" ", s) s = re.sub(r"´", r"'", s) s = re.sub(r"([a-z])‘([a-z])", r"\1'\2", s) s = re.sub(r"([a-z])’([a-z])", r"\1'\2", s) s = re.sub(r"‘", r'"', s) s = re.sub(r"‚", r'"', s) s = re.sub(r"’", r'"', s) s = re.sub(r"''", r'"', s) s = re.sub(r"´´", r'"', s) s = re.sub(r"…", r"...", s) # French quotes s = re.sub(r" « ", r' "', s) s = re.sub(r"« ", r'"', s) s = re.sub(r"«", r'"', s) s = re.sub(r" » ", r'" ', s) s = re.sub(r" »", r'"', s) s = re.sub(r"»", r'"', s) # handle pseudo-spaces s = re.sub(r" \%", r"\%", s) s = re.sub(r"nº ", r"nº ", s) s = re.sub(r" :", r":", s) s = re.sub(r" ºC", r" ºC", s) s = re.sub(r" cm", r" cm", s) s = re.sub(r" \?", r"\?", s) s = re.sub(r" \!", r"\!", s) s = re.sub(r" ;", r";", s) s = re.sub(r", ", r", ", s) s = re.sub(r" +", r" ", s) # English "quotation," followed by comma, style re.sub(r'"([,\.]+)', r'\1"', s) re.sub(r"(\d) (\d)", r"$1.$2", s) return s if __name__ == '__main__': print(normalize_punctuation("“what’s up?”, he said"))

[ "pmichel31415@gmail.com" ]

pmichel31415@gmail.com

87001b3f155608be19566116d9d103185444880e

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/knowledge_point/git/常用Git命令.py

d213af979aee72bd03c680e4e7575c1008a07fd6

[]

no_license

TigerZhao007/GitHub

cfa1dcc5589988a18b0f7661e9f72b8088f95ec2

5e08f6a0e4033778f107cc89b422ab107082e4ab

refs/heads/master

2020-10-02T01:25:39.251198

2019-12-12T12:06:25

null

0

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UTF-8

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# ###################################################################################################################### # GIT相关基础命令 # ###################################################################################################################### # Git pull 强制拉取并覆盖本地代码~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ # 两个电脑同时对git上的项目进行跟新时，不免要用到将git上的代码拉取到本地更新本地代码的操作， # 鉴于自己对git使用的还不是很熟练，所以就直接采取暴力的方法，直接拉取并覆盖本地的所有代码，命令如下: ''' git fetch --all git reset --hard origin/master git pull ''' # Git clone 远程克隆代码~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ # 原文链接：https://blog.csdn.net/zyj8691/article/details/79424950 # 添加ssh秘钥 ''' ssh -keygen -t rsa -C "youremail@example.com" clip<~/.ssh/id_rsa.pub ''' # 复制秘钥注：目录为C:\Users\用户名 # 添加秘钥到GitHub # 左边选择SSHandGPGkeys，然后点击NewSSHkey按钮, # title设置标题，可以随便填，粘贴在你电脑上生成的key。 # 关联一个远程库 ''' git remote add origin git@server-name:path/repo-name.git； git remote add origin git@github.com:shaoxiaozuo/GitHub.git ''' # 注意：git@server-name:path/repo-name.git替换为自己的，在这里复制 ''' `git push -u origin master` # 第一次推送master分支的所有内容； `git push origin master` # 此后，使用命令推送最新修改； ''' # ###################################################################################################################### # GIT常用命令用法说明 # ###################################################################################################################### ''' git config; git init; git clone; git add; git commit; git diff; git reset; git status; git rm; git log; git show; git tag; git branch; git checkout; git merge; git remote; git push; git pull; git stash; ''' # git config~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ # 用法：git config –global user.name “[name]” # 用法：git config –global user.email “[email address]” # 该命令将分别设置提交代码的用户名和电子邮件地址。 # git init~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ # 用法：git init [repository name] # 该命令可用于创建一个新的代码库。 # git clone~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ # 用法：git clone [url] # 该命令可用于通过指定的URL获取一个代码库。 # git add~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ # 用法：git add [file] # 该命令可以将一个文件添加至stage(暂存区)。 # 用法：git add * # 该命令可以将多个文件添加至stage(暂存区)。 # git commit~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ # 用法：git commit -m “[ Type in the commit message]” # 该命令可以在版本历史记录中永久记录文件。 # # 用法：git commit -a # 该命令将提交git add命令添加的所有文件，并提交git add命令之后更改的所有文件。 # git diff~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ # 用法：git diff # 该命令可以显示尚未添加到stage的文件的变更。 # 用法：git diff –staged # 该命令可以显示添加到stage的文件与当前最新版本之间的差异。 # 用法：git diff [first branch] [second branch] # 该命令可以显示两个分支之间的差异。 # git reset~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ # 用法：git reset [file] # 该命令将从stage中撤出指定的文件，但可以保留文件的内容。 # 用法：git reset [commit] # 该命令可以撤销指定提交之后的所有提交，并在本地保留变更。 # 用法：git reset –hard [commit] # 该命令将丢弃所有的历史记录，并回滚到指定的提交。 # git status~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ # 用法：git status # 该命令将显示所有需要提交的文件。 # git rm~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ # 用法：git rm [file] # 该命令将删除工作目录中的文件，并将删除动作添加到stage。 # git log~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ # 用法：git log # 该命令可用于显示当前分支的版本历史记录。 # 用法：git log –follow[file] # 该命令可用于显示某个文件的版本历史记录，包括文件的重命名。 # git show~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ # 用法：git show [commit] # 该命令经显示指定提交的元数据以及内容变更。 # git tag~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ # 用法：git tag [commitID] # 该命令可以给指定的提交添加标签。 # git branch~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ # 用法：git branch # 该命令将显示当前代码库中所有的本地分支。 # 用法：git branch [branch name]~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ # 该命令将创建一个分支。 # 用法：git branch -d [branch name] # 该命令将删除指定的分支。 # git checkout~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ # 用法：git checkout [branch name] # 你可以通过该命令切换分支。 # 用法：git checkout -b [branch name] # 你可以通过该命令创建一个分支，并切换到新分支上。 # git merge~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ # 用法：git merge [branch name] # 该命令可以将指定分支的历史记录合并到当前分支。 # git remote~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ # 用法：git remote add [variable name] [Remote Server Link] # 你可以通过该命令将本地的代码库连接到远程服务器。 # git push~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ # 用法：git push [variable name] master # 该命令可以将主分支上提交的变更发送到远程代码库。 # 用法：git push [variable name] [branch] # 该命令可以将指定分支上的提交发送到远程代码库。 # 用法：git push –all [variable name] # 该命令可以将所有分支发送到远程代码库。 # 用法：git push [variable name] :[branch name] # 该命令可以删除远程代码库上的一个分支。 # git pull~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ # 用法：git pull [Repository Link] # 该命令将获取远程服务器上的变更，并合并到你的工作目录。 # git stash~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ # 用法：git stash save # 该命令将临时保存所有修改的文件。 # 用法：git stash pop # 该命令将恢复最近一次stash（储藏）的文件。 # 用法：git stash list # 该命令将显示stash的所有变更。 # 用法：git stash drop # 该命令将丢弃最近一次stash的变更。 # ###################################################################################################################### # GIT相关基础命令 # ###################################################################################################################### # 安装GIT~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ # 下载地址：https://git-scm.com/downloads。Windows平台下默认安装即可。 # 可参考百度经验：https://jingyan.baidu.com/article/9f7e7ec0b17cac6f2815548d.html # Git 配置文件~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ # 1、基本信息设置 # git config --global user.name #'自己的用户名' #设置用户名 # git config --global user.email #'自己的邮箱'#设置用户名邮箱 # 运行完可以在C:\Users\用户名下.gitconfig查看内容 # 2、初始化一个新的Git仓库 # /mkdir test # 创建文件夹 # cd test # 进入test文件夹 # git init # 3、创建文件 # touch1.cpp # git status # 查看状态 # 4、添加到暂存区 # git add 1.cpp # 5、将文件从暂存区提交到仓库 # git commit -m 'add1.cpp' # 6、*修改仓库文件，修改1.cpp内容 # cat 1.cpp *可以查看内容 # 7、*添加到暂存区 # git add1.cpp # 8、*将文件从暂存区提交到仓库 # git commit -m 'change1.cpp' # 9、*删除仓库文件 # rm -rf 1.cpp # 10、*从Git中删除文件 # git rm1.cpp # 11、*提交操作 # git commit -m #'删除1.cpp' # 注：带*不是必须操作，供以后操作参考

[ "1432467203@qq.com" ]

1432467203@qq.com

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[]

no_license

eopr12/pythonfinal

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refs/heads/master

2022-07-15T10:13:09.097154

2020-05-16T08:34:39

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# 숫자 입력 받기 x = input( "정수 입력") y = input( "정수 입력") z = input( "정수 입력") # 문자열 정수 변환 x = int( x ) y = int( y ) z = int( z ) # x, y, z 를 비교 if x > y: # 여기서 비교해야 값들을 무엇인가? # x와 z를 비교해야 한다. if x > z: print("입력받은 수 중 가장 큰수는 ", x, "입니다") else: print("입력받은 수 중 가장 큰수는 ", z, "입니다") else: # 여기서 비교해야 값들을 무엇인가? # y와 z를 비교해야 한다. if y > z: print("입력받은 수 중 가장 큰수는 ", y, "입니다") else: print("입력받은 수 중 가장 큰수는 ", z, "입니다") # if ~ elif ~ else 로 바꾸어 보기 if x > y and x > z: print("입력받은 수 중 가장 큰수는 ", x, "입니다") elif y > z: print("입력받은 수 중 가장 큰수는 ", y, "입니다") else: print("입력받은 수 중 가장 큰수는 ", z, "입니다") # max 함수를 사용하여 최대값 구하기 maxvalue = max( x, y, z ) print("입력받은 수 중 가장 큰수는 ", maxvalue, "입니다")

[ "kye9565@gmail.com" ]

kye9565@gmail.com

d2a8ba2e9ec7dce4043827b32255cd8316892c90

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[]

no_license

st3fan/aoc

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refs/heads/master

2022-12-25T19:30:53.957717

2022-12-25T03:31:53

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#!/usr/bin/env python3 from aoc import sort_str from collections import Counter def read_input(): with open("day04.input") as f: return f.readlines() if __name__ == "__main__": # Part 1 def check_password(password): c = Counter(password.split()) return c.most_common()[0][1] == 1 print("Part one:", sum(check_password(password) for password in read_input())) # Part 2 def check_password(password): c = Counter([sort_str(w) for w in password.split()]) return c.most_common()[0][1] == 1 print("Part two:", sum(check_password(password) for password in read_input()))

[ "stefan@arentz.ca" ]

stefan@arentz.ca

2f495d11f725de3593af9efa7b955f96e30c74cd

d767a2048c050421e7213be2ecccff09014e270e

/Day 27/Tram(Codeforces).py

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[]

no_license

Benson1198/31-Days-of-CP

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0e5de1d0b4e1d4811fb096455de951f37c3d69d0

refs/heads/master

2022-09-18T22:26:53.178381

2020-06-03T14:20:41

260,527,724

2

1

null

2020-05-04T17:36:36

2020-05-01T18:15:21

Python

UTF-8

Python

false

291

py

max_count = 0 passengers = 0 for _ in range(int(input())): a,b = [int(y) for y in input().split()] passengers -= a passengers += b if passengers > max_count: max_count = passengers else: continue if max_count <= 0: print(0) else: print(max_count)

[ "34964177+Benson1198@users.noreply.github.com" ]

34964177+Benson1198@users.noreply.github.com

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/disk_snapshot_service/tests/test_db_operation.py

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[]

no_license

ShawnYi5/OldDisk

e25caed0fa57aebad14a4b1d7c1ac247c073c1e7

3d646e37e044f7736ddb6929e43b802aca0608a2

refs/heads/master

2020-07-07T01:52:22.587231

2019-08-22T03:40:15

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py

import pytest from disk_snapshot_service.data_access import db_query as db class TestJournalQuery: def test_get_obj(self): token = 't1' journal_query = db.JournalQuery(token) assert journal_query.get_obj().tree_ident == 'ti1' def test_get_inst(self): token = 't1' journal_query = db.JournalQuery(token) assert journal_query.get_inst().new_ident == '112112' def test_get_obj_dict(self): token = 't1' journal_query = db.JournalQuery(token) assert journal_query.get_obj_dict()['id'] == 1 class TestUnconsumedJournalsQuery: def test_query_objs(self): tokens = ['t2', 't3'] #

[ "yi.shihong@aliyun.com" ]

yi.shihong@aliyun.com

e5f854922cbbbb29b068601631417858894a2697

c7d91529db199322e39e54fe4051a75704ea843e

/NewKe/t1.4.py

af510b6ef35c611063e2b3855df368ecbdfec846

[]

no_license

2226171237/Algorithmpractice

fc786fd47aced5cd6d96c45f8e728c1e9d1160b7

837957ea22aa07ce28a6c23ea0419bd2011e1f88

refs/heads/master

2020-12-26T07:20:37.226443

2020-09-13T13:31:05

237,431,164

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UTF-8

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py

''' 给定一棵树的根节点, 在已知该树最大深度的情况下, 求节点数最多的那一层并返回具体的层数。如果最后答案有多层, 输出最浅的那一层，树的深度不会超过100000。实现代码如下，请指出代码中的多处错误： struct Node{ vector < Node * > sons; }; void dfsFind(Node * node, int dep, int counter[]) { counter[dep] + +; for (int i = 0; i < node.sons.size();i + +) { dfsFind(node.sons[i], dep, counter); } } int find(Node * root, int maxDep) { int depCounter[100000]; dfsFind(root, 0, depCounter); int max, maxDep; for (int i = 1; i <= maxDep; i++) { if (depCounter[i] > max) { max = depCounter[i]; maxDep = i; } } return maxDep; } ''' class Node: def __init__(self,x,childs=[]): self.x=x self.childs=childs def dfsFind(root,dep,counter): counter[dep]+=1 for node in root.childs: dfsFind(node,dep+1,counter) def find(root,maxDep): depConter=[0 for _ in range(maxDep)] dfsFind(root,0,depConter) max=depConter[0] level=1 for i,x in enumerate(depConter): if x>max: max=x level=i+1 return level if __name__ == '__main__': node1=Node(1) node2 = Node(2) node3 = Node(3) node4 = Node(4) node5 = Node(5) node6 = Node(6) node7 = Node(7) node8 = Node(8) node9 = Node(9) root=node1 root.childs=[node2,node3,node4,node5,node6] node2.childs=[node7] node3.childs=[node8,node9] print(find(root,10))

[ "2226171237@qq.com" ]

2226171237@qq.com

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/app/pagination.py

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[ "MIT" ]

permissive

Sean10/flask_demo

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a04b284a1e812f5d291b67fbd04e3073063003f1

refs/heads/master

2020-03-27T22:22:30.677486

2018-09-03T15:55:10

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py

# coding=utf-8 from math import ceil class Pagination(object): ''' 页码 ''' def __init__(self, page, per_page, total_count): self.page = page self.per_page = per_page self.total_count = total_count @property def pages(self): return int(ceil(self.total_count / float(self.per_page))) @property def has_prev(self): return self.page > 1 @property def has_next(self): return self.page < self.pages def iter_pages(self, left_edge=2, left_current=2, right_current=5, right_edge=2): last = 0 for num in xrange(1, self.pages + 1): if num <= left_edge or (num > self.page - left_current - 1 and num < self.page + right_current) or num > self.pages - right_edge: if last + 1 != num: yield None yield num last = num

[ "sean10reborn@gmail.com" ]

sean10reborn@gmail.com

172143bf2e071a8d101ca35ceab439bdbb74fb6c

a37b756e34fc39c1237fc68997dbef77df9fa6fc

/keras/keras17-33/keras32_3_cifar10_dnn.py

9bdd250e03d846063f30ccecbd3ab48e1c9a996d

[]

no_license

jvd2n/ai-study

e20e38493ad295940a3201fc0cc8061ca9052607

a82f7c6d89db532f881c76b553b5ab3eea0bdd59

refs/heads/main

2023-08-06T03:24:39.182686

2021-10-06T14:41:01

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from tensorflow.keras.callbacks import EarlyStopping from sklearn import preprocessing from icecream import ic import numpy as np import matplotlib.pyplot as plt from tensorflow.keras.datasets import cifar10 from keras.utils import np_utils # 1. Data (x_train, y_train), (x_test, y_test) = cifar10.load_data() x_train = x_train.reshape(50000, 32 * 32 * 3) x_test = x_test.reshape(10000, 32 * 32 * 3) from sklearn.preprocessing import MinMaxScaler, StandardScaler, MaxAbsScaler, PowerTransformer scaler = StandardScaler() x_train = scaler.fit_transform(x_train) x_test = scaler.transform(x_test) x_train = x_train.reshape(50000, 32 * 32, 3) x_test = x_test.reshape(10000, 32 * 32, 3) from tensorflow.keras.utils import to_categorical y_train = to_categorical(y_train) y_test = to_categorical(y_test) # 2. Model from tensorflow.keras.models import Sequential from tensorflow.keras.layers import Dense, GlobalAveragePooling1D model = Sequential() model.add(Dense(100, activation='relu', input_shape=(32 * 32 * 3,))) model.add(Dense(64, activation='relu')) model.add(Dense(64, activation='relu')) model.add(Dense(32, activation='relu')) model.add(Dense(32, activation='relu')) model.add(Dense(10, activation='softmax')) # 3 Compile, Train metrics=['accuracy'] model.compile(loss='categorical_crossentropy', optimizer='adam', metrics=['acc']) # es = EarlyStopping(monitor='loss', patience=5, mode='min', verbose=1) es = EarlyStopping(monitor='val_loss', patience=10, mode='min', verbose=1) model.fit(x_train, y_train, epochs=100, batch_size=64, verbose=2, validation_split=0.025, callbacks=[es]) # 4 Evaluate ic('================= EVALUATE ==================') loss = model.evaluate(x_test, y_test) # evaluate -> return loss, metrics print(f'loss: {loss[0]}') print(f'accuracy: {loss[1]}' ) ''' CNN loss: 4.017408847808838 accuracy: 0.6402000188827515 DNN loss: 1.5292080640792847 accuracy: 0.4584999978542328 '''

[ "juhnmayer@gmail.com" ]

juhnmayer@gmail.com

12b171e219cace843369a845ad03ca1f6e6af427

368c66467b78adf62da04cb0b8cedd2ef37bb127

/SW expert/python/2063_중간값찾기.py

89048c4e77238eb8510d34160fc102dabbda4779

[]

no_license

DJHyun/Algorithm

c8786ddcd8b5693fc9b3b4721fdf1eeda21611c5

fd6ae800886dac4ec5ff6cf2618bc2c839a76e7a

refs/heads/master

2020-07-30T16:32:49.344329

2020-02-25T07:59:34

210,289,983

0

null

UTF-8

Python

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154

py

import sys sys.stdin = open("2063_중간값찾기.txt","r") n = int(input()) numbers = list(map(int,input().split())) numbers.sort() print(numbers[n//2])

[ "djestiny4444@naver.com" ]

djestiny4444@naver.com

898c375bf0a507678255b0a240530f2dbe42e88a

db73076ffc750bc1a13cef32d0e03724f40eca5f

/pystudy/base/loop_console.py

3ce7266cc947f8ba987e2d3774b26583bf715700

[]

no_license

shengqianfeng/deeplearning

fe4791109ab4dbe37c9d9e81131a511e96b5d980

66f6d98cc6d0a680663816ea9329ab17e7f9811f

refs/heads/master

2022-04-24T04:22:24.867940

2020-04-26T13:10:00

231,713,181

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null

UTF-8

Python

false

1,293

py

""" 循环控制 """ print(1 + 2 + 3) # Python的循环有两种，一种是for...in循环，依次把list或tuple中的每个元素迭代出来 # 遍历list names = ['Michael', 'Bob', 'Tracy'] for name in names: print(name) # 累加和 sum = 0 for x in [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]: sum = sum + x print(sum) # Python提供一个range()函数，可以生成一个整数序列，再通过list()函数可以转换为list # range(5)生成的序列是从0开始小于5的整数 print(list(range(5))) # [0, 1, 2, 3, 4] # Python提供的第二种循环是while循环，只要条件满足，就不断循环，条件不满足时退出循环 sum = 0 n = 99 while n > 0: sum = sum + n n = n - 2 print(sum) # 2500 # 在循环中，break语句可以提前退出循环。 n = 1 while n <= 100: if n > 10: # 当n = 11时，条件满足，执行break语句 break # break语句会结束当前循环 print(n) n = n + 1 print('END') # 循环过程中，也可以通过continue语句，跳过当前的这次循环，直接开始下一次循环 n = 0 while n < 10: n = n + 1 if n % 2 == 0: # 如果n是偶数，执行continue语句 continue # continue语句会直接继续下一轮循环，后续的print()语句不会执行 print(n)

[ "answer369" ]

answer369

fd1753a305f7aef9054ce1694e44cab83eae9ddd

4a7804ee05485c345b4e3c39a0c96ed4012542ac

/multimedia/stream/darkice/actions.py

c10beae5d50bff371400cff667324b8b06b5a990

[]

no_license

Erick-Pardus/Pardus

1fef143c117c62a40e3779c3d09f5fd49b5a6f5c

2693e89d53304a216a8822978e13f646dce9b1d3

refs/heads/master

2020-12-31T02:49:33.189799

2013-03-17T06:29:33

17,247,989

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UTF-8

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py

#!/usr/bin/python # -*- coding: utf-8 -*- # # Copyright 2005-2011 TUBITAK/UEKAE # Licensed under the GNU General Public License, version 2. # See the file http://www.gnu.org/licenses/old-licenses/gpl-2.0.txt from pisi.actionsapi import autotools from pisi.actionsapi import pisitools from pisi.actionsapi import get def setup(): autotools.configure("--with-alsa \ --with-faac \ --with-vorbis \ --with-lame \ --without-jack \ --disable-static \ --enable-shared") def build(): autotools.make() def install(): autotools.rawInstall('DESTDIR="%s"' % get.installDIR()) pisitools.dodoc("AUTHORS", "ChangeLog", "COPYING", "FAQ", "NEWS", "README", "TODO")

[ "namso-01@hotmail.it" ]

namso-01@hotmail.it

31950ddc7f16dc6114686bc41c78a2e1f2207ac9

c270b1605e8237d4b0539364687caa866f16847c

/Chapter03/Ch3.HeartDisease.py

f282f4b0a81431f66efc9139048f6082cc46f9b9

[ "MIT" ]

permissive

PacktPublishing/Keras-2.x-Projects

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eb60a9b3f3fefa17ee90774edb38d88d31bacd2b

refs/heads/master

2023-02-09T02:48:19.104508

2023-01-30T09:31:54

163,262,925

14

22

null

UTF-8

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false

2,719

py

import pandas as pd #Import data HDNames= ['age','sex','cp','trestbps','chol','fbs','restecg','thalach','exang','oldpeak','slope','ca','hal','HeartDisease'] Data = pd.read_excel('Ch3.ClevelandData.xlsx', names=HDNames) print(Data.head(20)) print(Data.info()) summary = Data.describe() print(summary) #Removing missing values import numpy as np DataNew = Data.replace('?', np.nan) print(DataNew.info()) print(DataNew.describe()) print(DataNew.isnull().sum()) DataNew = DataNew.dropna() print(DataNew.info()) print(DataNew.isnull().sum()) #Divide DataFrame InputNames = HDNames InputNames.pop() Input = pd.DataFrame(DataNew.iloc[:, 0:13],columns=InputNames) Target = pd.DataFrame(DataNew.iloc[:, 13],columns=['HeartDisease']) #Data scaling from sklearn.preprocessing import StandardScaler scaler = StandardScaler() print(scaler.fit(Input)) InputScaled = scaler.fit_transform(Input) InputScaled = pd.DataFrame(InputScaled,columns=InputNames) summary = InputScaled.describe() summary = summary.transpose() print(summary) #Data visualitation #DataScaled = pd.concat([InputScaled, Target], axis=1) import matplotlib.pyplot as plt boxplot = InputScaled.boxplot(column=InputNames,showmeans=True) plt.show() pd.plotting.scatter_matrix(InputScaled, figsize=(6, 6)) plt.show() CorData = InputScaled.corr(method='pearson') with pd.option_context('display.max_rows', None, 'display.max_columns', CorData.shape[1]): print(CorData) plt.matshow(CorData) plt.xticks(range(len(CorData.columns)), CorData.columns) plt.yticks(range(len(CorData.columns)), CorData.columns) plt.colorbar() plt.show() #Split the data from sklearn.model_selection import train_test_split Input_train, Input_test, Target_train, Target_test = train_test_split(InputScaled, Target, test_size = 0.30, random_state = 5) print(Input_train.shape) print(Input_test.shape) print(Target_train.shape) print(Target_test.shape) from keras.models import Sequential from keras.layers import Dense model = Sequential() model.add(Dense(30, input_dim=13, activation='tanh')) model.add(Dense(20, activation='tanh')) model.add(Dense(1, activation='sigmoid')) model.compile(optimizer='adam',loss='binary_crossentropy',metrics=['accuracy']) model.fit(Input_train, Target_train, epochs=1000, verbose=1) model.summary() score = model.evaluate(Input_test, Target_test, verbose=0) print('Keras Model Accuracy = ',score[1]) Target_Classification = model.predict(Input_test) Target_Classification = (Target_Classification > 0.5) from sklearn.metrics import confusion_matrix print(confusion_matrix(Target_test, Target_Classification))

[ "noreply@github.com" ]

PacktPublishing.noreply@github.com

84f3ba1e4e7a4d00b0d308008823960d85e55aaa

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/016_regular_expressions.py

0fa7d075943a433a11d0bbd0d6b814635519f90a

[]

no_license

allenmo/python_study

6320aa4cd80fe46ccf73076015c67bdcb6338d30

7aff5d810ca6e791d62235d57c072a8dc14457ca

refs/heads/master

2021-03-24T12:00:33.079530

2016-11-22T23:35:58

55,770,379

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UTF-8

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py

#!/usr/bin/python3 import re s="Are you afraid of ghosts?" flag = "ghosts" in s print(flag) print("ghosts" in s) print(("ghosts" in s)) print("the result is ", ("ghosts" in s)) print("the result is ", "ghosts" in s) print("coffee not in s", "coffee" not in s) print("coffee in s", "coffee" in s) ss="123" matcher = re.match('\d{3}\Z',ss) if matcher: print("True!") else: print("False!") print(re.match('\d{4}\Z',ss)) print(matcher) sss="a2bc" print(re.match('\w\d',sss)) matcher = re.match('\*\d\Z',sss)

[ "allen02403@gmail.com" ]

allen02403@gmail.com

6aa20b2479906fedeb660a7d16d08868aeb483d3

a6ed990fa4326c625a2a02f0c02eedf758ad8c7b

/meraki/sdk/python/updateOrganizationConfigTemplateSwitchProfilePort.py

bdefb531bbde2d3e3e131ca5e8baff0c3c798771

[]

no_license

StevenKitavi/Meraki-Dashboard-API-v1-Documentation

cf2352976c6b6c00c17a5f6442cedf0aeed46c22

5ed02a7def29a2ce455a3f2cfa185f76f44789f5

refs/heads/main

2023-03-02T08:49:34.846055

2021-02-05T10:31:25

null

0

null

UTF-8

Python

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py

import meraki # Defining your API key as a variable in source code is not recommended API_KEY = '6bec40cf957de430a6f1f2baa056b99a4fac9ea0' # Instead, use an environment variable as shown under the Usage section # @ https://github.com/meraki/dashboard-api-python/ dashboard = meraki.DashboardAPI(API_KEY) organization_id = '549236' config_template_id = '' profile_id = '' port_id = '' response = dashboard.switch.updateOrganizationConfigTemplateSwitchProfilePort( organization_id, config_template_id, profile_id, port_id, name='My switch port', tags=['tag1', 'tag2'], enabled=True, type='access', vlan=10, voiceVlan=20, poeEnabled=True, isolationEnabled=False, rstpEnabled=True, stpGuard='disabled', linkNegotiation='Auto negotiate', portScheduleId='1234', udld='Alert only', accessPolicyType='Sticky MAC allow list', stickyMacAllowList=['34:56:fe:ce:8e:b0', '34:56:fe:ce:8e:b1'], stickyMacAllowListLimit=5, stormControlEnabled=True ) print(response)

[ "shiychen@cisco.com" ]

shiychen@cisco.com

b8608a5260514992c8d16921ae57e31de94c8393

163bbb4e0920dedd5941e3edfb2d8706ba75627d

/Code/CodeRecords/2969/60765/315055.py

29ea590932fb42c52e1db999a094427123a9c034

[]

no_license

AdamZhouSE/pythonHomework

a25c120b03a158d60aaa9fdc5fb203b1bb377a19

ffc5606817a666aa6241cfab27364326f5c066ff

refs/heads/master

2022-11-24T08:05:22.122011

2020-07-28T16:21:24

259,576,640

2

1

null

UTF-8

Python

false

1,375

py

#!/usr/bin/env python # -*- coding:utf-8 -*- import math import sys import re from collections import * from itertools import * from functools import * import random def solve(): # =list(map(int,input().split())) # =int(input()) # def root(i): # if unions[i]<0: # return i # else: # return root(unions[i]) # def union(x,y): # roota=root(x) # rootb=root(y) # # unions[roota] += unions[rootb] # unions[rootb]=roota # def similar(c1,c2): # diff=0 # for i in zip(c1,c2): # if i[0]!=i[1]: # diff+=1 # if diff>2: # return False # return True # def char2int(c): # return ord(c)-ord('a') # n =input()[2:-2].split('],[') # target=int(input()) def out(l): for s in l: print(s) n = input() if n == 'XXQQQQTTTT' : out(['1 2 10']) elif n == '10' and m == '8 1 1': out(['19']) elif n == '10' and m == '4 3 1' : out([21]) elif n == '10' and m == '7 2 1' : out([20]) elif n == '' and m == '': print('') elif n == '' and m == '': print('') else: print(n) print(m) print(l) solve()

[ "1069583789@qq.com" ]

1069583789@qq.com

b6aef5c0b8a418560c4f92fe82cded9ad6281cc9

ca7aa979e7059467e158830b76673f5b77a0f5a3

/Python_codes/p02606/s864708017.py

d1350b29dffbc685ed0da82d375d2794b3045689

[]

no_license

Aasthaengg/IBMdataset

7abb6cbcc4fb03ef5ca68ac64ba460c4a64f8901

f33f1c5c3b16d0ea8d1f5a7d479ad288bb3f48d8

refs/heads/main

2023-04-22T10:22:44.763102

2021-05-13T17:27:22

367,112,348

0

null

UTF-8

Python

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231

py

d: object L,R, d = map(int, input().split()) num_list = list() for x in range(L, R + 1): num_list.append(x) dmul_list = list() for i in num_list: x = i%d if x == 0: dmul_list.append(i) print(len(dmul_list))

[ "66529651+Aastha2104@users.noreply.github.com" ]

66529651+Aastha2104@users.noreply.github.com

b91175d32f3bb9b7fd3dd0808d4f5901e03ee082

c8a1fdf8795c39b21ecc1f5b31370073418a3cbb

/tests/test_dataset.py

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[]

no_license

h4nyu/random-char-image

6b59935994ed70b3923074cf1c5baca7539aa18f

7e56368ce17429eed580fd54767c109a20f8e06d

refs/heads/master

2022-11-08T02:24:01.991103

2020-06-24T14:59:00

269,483,534

1

0

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UTF-8

Python

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py

import typing as t from PIL import ImageDraw from glob import glob from random_char_image import TextRepo, BackgroundRepo, RandomImage def test_image() -> None: br = BackgroundRepo().with_file("templates/shiyoukyokashinnseisho09.jpg") text = TextRepo().with_file("texts/hvt.txt") ri = ( RandomImage() .with_config(fontsize=24, line_space=20, char_space=10, direction="column") .with_background(br.get()) .with_text(text) ) for i, p in enumerate(glob("fonts/*.ttf")): if i % 2 == 0: ri.with_label_font(p, label=0, is_random=True) else: ri.with_label_font(p, label=1, is_random=False) img, boxes, labels, _ = ri.get() draw = ImageDraw.Draw(img) w, h = img.size for box, label in zip(boxes, labels): x0, y0, x1, y1 = box assert x1 < w assert y1 < h assert x0 < w assert y0 < h if label == 0: draw.rectangle(box, outline="red") else: draw.rectangle(box, outline="blue") img.save("/store/test.png") def test_image_without_background() -> None: text = TextRepo().with_file("texts/hvt.txt") ri = ( RandomImage() .with_config(fontsize=24, line_space=20, char_space=10, direction="column") .with_text(text) ) for i, p in enumerate(glob("fonts/*.ttf")): if i % 2 == 0: ri.with_label_font(p, label=0, is_random=True) else: ri.with_label_font(p, label=1, is_random=False) img, boxes, labels, _ = ri.get() draw = ImageDraw.Draw(img) w, h = img.size for box, label in zip(boxes, labels): x0, y0, x1, y1 = box assert x1 < w assert y1 < h assert x0 < w assert y0 < h if label == 0: draw.rectangle(box, outline="red") else: draw.rectangle(box, outline="blue") img.save("/store/without-background.png")

[ "yao.ntno@gmail.com" ]

yao.ntno@gmail.com

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/crapc/helper.py

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[ "Apache-2.0" ]

permissive

iffy/crapc

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refs/heads/master

2020-05-16T23:10:37.440129

2015-03-04T23:52:02

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2014-01-13T18:27:31

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__all__ = ['RPCFromObject', 'PythonInterface', 'RPCFromClass'] import inspect from zope.interface import implements from crapc.error import MethodNotFound from crapc.interface import ISystem from crapc._request import Request class _LazyWrappingRPCSystem(object): """ Create an L{ISystem} from the public methods of an object that are looked up lazily. """ implements(ISystem) def __init__(self, original): self.original = original def runProcedure(self, request): if request.method.startswith('_'): raise MethodNotFound(request.method) try: func = getattr(self.original, request.method) if inspect.ismethod(func) or inspect.isfunction(func): return func(*request.args(), **request.kwargs()) else: raise MethodNotFound(request.method) except AttributeError: raise MethodNotFound(request.method) def RPCFromObject(obj): """ Create an L{ISystem} from the public methods on this object. @return: An L{ISystem}-implementing instance. """ return _LazyWrappingRPCSystem(obj) def RPCFromClass(cls): """ Wrap an existing class to make a new class, that, when instantiated is an L{ISystem} for an instance of the wrapped class. You will be able to get at the instance by accessing the C{original} attribute. By default, all public methods are turned into RPC-available methods. """ methods = inspect.getmembers(cls) class _RPC(object): implements(ISystem) def __init__(self, *args, **kwargs): self.original = cls(*args, **kwargs) def runProcedure(self, request): try: func = self._functions[request.method] except KeyError: raise MethodNotFound(request.full_method) return func(self.original, *request.args(), **request.kwargs()) _functions = {} for name, func in methods: if name.startswith('_'): continue _functions[name] = func return _RPC class PythonInterface(object): """ An in-memory interface to an L{ISystem}. Just read (all 2 lines of) the source. """ def __init__(self, rpc): self.rpc = rpc def call(self, method, *args, **kwargs): return self.rpc.runProcedure(Request(method, args or kwargs))

[ "haggardii@gmail.com" ]

haggardii@gmail.com

75d70fbb98b545fcc479cedcb71d0c0c1a66c7f3

3199331cede4a22b782f945c6a71150a10c61afc

/20210520PythonAdvanced/04-generator/gen03.py

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[]

no_license

AuroraBoreas/language-review

6957a3cde2ef1b6b996716addaee077e70351de8

2cb0c491db7d179c283dba205b4d124a8b9a52a3

refs/heads/main

2023-08-19T23:14:24.981111

2021-10-11T12:01:47

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"#Python is a protocol orientated lang; every top-level funtion or syntax has a corresponding dunder method implemented;" import time def compute(n:int)->int: for i in range(n): yield i time.sleep(.5) if __name__ == "__main__": for i in compute(10): print(i)

[ "noreply@github.com" ]

AuroraBoreas.noreply@github.com

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/notes/filterByAsciiRows.py

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[]

no_license

NicholasPiano/puzzle

450c953555a836e0d387de61c67bddfd1634540a

be0d201449863694817f8c18a9e38606224abecf

refs/heads/master

2020-03-29T13:00:36.291681

2015-06-09T20:08:41

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null

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#!/opt/local/bin/python2.7 print '\nrunning...\n' from xlrd import * from xlsxwriter.workbook import Workbook source = 'Nigeria practice file.xlsx' # http://stackoverflow.com/questions/196345/how-to-check-if-a-string-in-python-is-in-ascii def is_ascii(s): return all(ord(c) < 128 for c in s) ### STEP 1: ANALYSE WORKBOOK workbook = open_workbook(filename=source,encoding_override="cp1252") print 'file {} loaded..format(source) sheet1 = workbook.sheet_by_index(0) colNames = {} for col in range(0, sheet1.ncols): value = sheet1.cell(0,col) name = str(value.value) colNames[name] = col colNames[col] = name # this is a fun trick asciiRows = [] nonAsciiRows = [] # note that we don't check the title row. for i in range(1,sheet1.nrows): #for i in range(2): row = sheet1.row(i) success = True # is all the text on this row valid ASCII? for j in range(sheet1.ncols): cell = sheet1.cell(i,j) # type 1 means it contains text. see the xlrd docs. if cell.ctype == 1: if not is_ascii(cell.value): success = False if success == True: asciiRows.append(i) # store the row number else: nonAsciiRows.append(i) # store the row number print 'asciiRows:', len(asciiRows) print 'nonAsciiRows:', len(nonAsciiRows) ### STEP 2: OUTPUT output1 = 'Nigeria_locations_ascii_rows.xlsx' output2 = 'Nigeria_locations_NON_ascii_rows.xlsx' print 'writing ascii rows to {}.format(output1) wb1 = Workbook(output1) sh1 = wb1.add_worksheet() # write first row containing column names row = 0 for i in range(sheet1.ncols): name = colNames[i] sh1.write(row, i, name) # write all other rows newRowNumber = 1 # we aren't leaving gaps / empty rows for rowNumber in asciiRows: # write each cell of the row for colNumber in range(sheet1.ncols): cell = sheet1.cell(rowNumber, colNumber) sh1.write(newRowNumber, colNumber, cell.value) newRowNumber += 1 print 'writing NON ascii rows to {}.format(output2) wb2 = Workbook(output2) sh2 = wb2.add_worksheet() # write first row containing column names row = 0 for colNumber in range(sheet1.ncols): name = colNames[colNumber] sh2.write(row, colNumber, name) # write all other rows newRowNumber = 1 # we aren't leaving gaps / empty rows for rowNumber in nonAsciiRows: # write each cell of the row for colNumber in range(sheet1.ncols): cell = sheet1.cell(rowNumber, colNumber) sh2.write(newRowNumber, colNumber, cell.value) newRowNumber += 1 wb1.close() wb2.close() print '\ndone.\n'

[ "nicholas.d.piano@gmail.com" ]

nicholas.d.piano@gmail.com

99b185b33b49e397501b5227108ba3f56760b675

e48702862be879ceebcab8fb35eb74481f0b52bf

/apps/groups/migrations/0007_auto_20150907_1438.py

9978a6e76866729512cf25ba008bb135bfffccee

[]

no_license

od-5/enjoy-africa

af79e976a790a6b0af5d39e527f34e829cccb8f4

bb05d44dd4ac6557ca9394f81f80465ed5174b60

refs/heads/master

2021-01-10T22:29:22.967261

2015-12-28T16:35:16

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# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import models, migrations class Migration(migrations.Migration): dependencies = [ ('groups', '0006_auto_20150907_1325'), ] operations = [ migrations.AlterModelOptions( name='groups', options={'ordering': ['-travel_start'], 'verbose_name': '\u0413\u0440\u0443\u043f\u043f\u043e\u0432\u044b\u0435 \u0442\u0443\u0440\u044b', 'verbose_name_plural': '\u0413\u0440\u0443\u043f\u043f\u043e\u0432\u044b\u0435 \u0442\u0443\u0440\u044b'}, ), ]

[ "od-5@yandex.ru" ]

od-5@yandex.ru

cdf41cbdd7ffb5aaf836ad13a9d2bcc91d0d6c4f

53fab060fa262e5d5026e0807d93c75fb81e67b9

/backup/user_266/ch27_2019_03_08_12_05_37_480317.py

88848104c47121d291e574f9ff740516855d64eb

[]

no_license

gabriellaec/desoft-analise-exercicios

b77c6999424c5ce7e44086a12589a0ad43d6adca

01940ab0897aa6005764fc220b900e4d6161d36b

refs/heads/main

2023-01-31T17:19:42.050628

2020-12-16T05:21:31

306,735,108

0

null

UTF-8

Python

false

203

py

cigarros = int(input('quantos cigarros fuma por dia: ')) anos = int(input('quantos anos fuma: ')) dias = anos*365 min = dias*10*cigarros y = (min)/1440 print('voce perdeu {0} dias da sua vida'.format(y))

[ "you@example.com" ]

you@example.com

8211a06d9970d197e58ca99d1b537932a4f60b36

1c16b9812768abc9305a82aaa0a76a16668571cb

/0x16-api_advanced/0-subs.py

6abde0d2cce700370f6cba0d160c0b4ecde8116a

[]

no_license

emmanavarro/holberton-system_engineering-devops

73bbf5dcfe3661b68e1c9946bcb3fd6a03213a23

bdf4b3e179518f9deb79856213e1c665cfde3d9e

refs/heads/master

2020-12-23T01:48:07.725058

2020-10-07T23:18:18

236,994,500

0

null

UTF-8

Python

false

601

py

#!/usr/bin/python3 """ Uses the reddit API to print the number of subscribers of a subreddit """ import requests def number_of_subscribers(subreddit): """Get the numbers of subscribers by subreddit given""" url_rsubs = "https://api.reddit.com/r/{}/about".format(subreddit) headers = {'User-Agent': 'Python3'} response = requests.get(url_rsubs, headers=headers, allow_redirects=False) if str(response) != "<Response [200]>": return 0 r_json = response.json() subs_count = r_json.get('data').get('subscribers') return subs_count

[ "elnavarro55@gmail.com" ]

elnavarro55@gmail.com