xszheng2020/the_stack_dedup_python_hits_3 · Datasets at Hugging Face

6c7e6cf386547801990f6d25c8effda1210fa9b1

521

py

Python

Dictionary/relativeRanks.py

Abhimanyu210100/Leetcode

2b0d8c9fa152cdf6e2dc8c1563c9cb25cd5ee697

[ "MIT" ]

null

Dictionary/relativeRanks.py

Abhimanyu210100/Leetcode

2b0d8c9fa152cdf6e2dc8c1563c9cb25cd5ee697

[ "MIT" ]

null

Dictionary/relativeRanks.py

Abhimanyu210100/Leetcode

2b0d8c9fa152cdf6e2dc8c1563c9cb25cd5ee697

[ "MIT" ]

null

class Solution: def findRelativeRanks(self, score: List[int]) -> List[str]: sorted_score = sorted(score,reverse=True) rankings = {} for i in range(len(sorted_score)): if i == 0: rankings[sorted_score[i]] = 'Gold Medal' elif i == 1: rankings[sorted_score[i]] = 'Silver Medal' elif i == 2: rankings[sorted_score[i]] = 'Bronze Medal' else: rankings[sorted_score[i]] = str(i+1) return [rankings[points] for points in score]

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6c8c04f1aa591bbc1a5fefd330b74bc19b79e47d

164

py

Python

apps/greencheck/urls.py

denning/admin-portal

34a8e9f07f88c85c01ae1255517d889fb7951ba5

[ "Apache-2.0" ]

10

2020-11-23T22:47:26.000Z

2022-01-28T16:26:50.000Z

apps/greencheck/urls.py

denning/admin-portal

34a8e9f07f88c85c01ae1255517d889fb7951ba5

[ "Apache-2.0" ]

83

2020-05-17T20:25:50.000Z

2022-03-29T18:11:50.000Z

apps/greencheck/urls.py

denning/admin-portal

34a8e9f07f88c85c01ae1255517d889fb7951ba5

[ "Apache-2.0" ]

3

2020-11-30T00:13:45.000Z

2021-06-11T13:42:04.000Z

from django.urls import path from .views import GreencheckStatsView urlpatterns = [ path("", GreencheckStatsView.as_view(), name="greencheck-stats-index"), ]

20.5

75

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164

6.777778

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null

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3

669af12660b345464669380b528589babcbfea71

275

py

Python

pesto/backend/celery/tasks.py

saromanov/pesto

b14e92ac8295400fb56d84d7d05d5450e7dc7d61

[ "MIT" ]

null

pesto/backend/celery/tasks.py

saromanov/pesto

b14e92ac8295400fb56d84d7d05d5450e7dc7d61

[ "MIT" ]

15

2021-01-09T18:54:03.000Z

2022-03-12T00:21:09.000Z

pesto/backend/celery/tasks.py

saromanov/pesto

b14e92ac8295400fb56d84d7d05d5450e7dc7d61

[ "MIT" ]

null

import datetime from .celery import celery from backend.news import hot_topics from backend.cache import sadd from backend.utils import time_now_formatted @celery.task(bind=True) def store_hot_topics(a): sadd(time_now_formatted('PESTO_SYSTEM_HOT_TOPICS'), hot_topics())

30.555556

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0.821818

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275

5

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0.101818

275

9

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null

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0

null

0

1

0

1

0

3

669c157aec4594e0caeb946ae6567aa23fd20073

428

py

Python

actions/migrations/0002_auto_20200907_1450.py

khicks01/assistant-bot-kyle

2e7cbf06f8437994e3c3d095a490fb145e272ba8

[ "MIT" ]

null

actions/migrations/0002_auto_20200907_1450.py

khicks01/assistant-bot-kyle

2e7cbf06f8437994e3c3d095a490fb145e272ba8

[ "MIT" ]

null

actions/migrations/0002_auto_20200907_1450.py

khicks01/assistant-bot-kyle

2e7cbf06f8437994e3c3d095a490fb145e272ba8

[ "MIT" ]

null

# Generated by Django 3.1.1 on 2020-09-07 19:50 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('actions', '0001_initial'), ] operations = [ migrations.RemoveField( model_name='slackpost', name='time_stamp', ), migrations.RemoveField( model_name='slackpost', name='user', ), ]

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0

1

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null

0

3

66c767435832ce9c0812a248878be4c093bfe704

75

py

Python

setup.py

sandipan1/rl_dobot

2317c171f73ae6714c13a6e85cff3d894b242687

[ "MIT" ]

2

2018-11-09T19:31:46.000Z

2020-01-28T11:20:08.000Z

setup.py

sandipan1/rl_dobot

2317c171f73ae6714c13a6e85cff3d894b242687

[ "MIT" ]

null

setup.py

sandipan1/rl_dobot

2317c171f73ae6714c13a6e85cff3d894b242687

[ "MIT" ]

1

2021-01-10T09:36:25.000Z

from setuptools import setup setup(name='rl_dobot', version='0.1', )

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null

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1

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3

66e057b87228e98f13d899bbe88191335c47856c

10,764

py

Python

autorun/autorun/varecof.py

sjklipp/autoio

e2b471e9c9dec933319c98a30d4d519ca5d47645

[ "Apache-2.0" ]

null

autorun/autorun/varecof.py

sjklipp/autoio

e2b471e9c9dec933319c98a30d4d519ca5d47645

[ "Apache-2.0" ]

1

2022-02-15T19:35:14.000Z

autorun/autorun/varecof.py

sjklipp/autoio

e2b471e9c9dec933319c98a30d4d519ca5d47645

[ "Apache-2.0" ]

13

2020-06-24T05:21:11.000Z

2021-05-05T19:58:30.000Z

""" Generate the information necessary to product the vrctst input files """ # import os # import autofile # import automol # import varecof_io # from phydat import phycon # from autorun._run import run_script # from autorun._run import from_input_string # # # # Default names of input and output files # INPUT_NAME = 'tst.inp' # AUX_NAMES = ( # 'structure.inp', # 'divsur.inp', # 'lr_divsur.inp', # 'molpro.inp', # 'mol.tml', # 'mc_flux.inp', # 'convert.inp', # 'machines', # 'molpro.sh') # POT_INPUT_NAMES = ( # '{}_corr.f' # 'dummy_corr.f', # 'pot_aux.f', # 'makefile') # # # Names of strings, files that go into the input # DUMMY_NAME = 'dummy_corr_' # LIB_NAME = 'libcorrpot.so' # EXE_NAME = 'molpro.sh' # SPC_NAME = 'mol' # GEOM_PTT = 'GEOMETRY_HERE' # ENE_PTT = 'molpro_energy' # # # Default nmaes of output # POT_OUTPUT_NAMES = ( # 'libcorrpot.so',) # # OUTPUT_NAMES = ('flux.out',) # DIVSUR_OUTPUT_NAMES1 = ('divsur.out',) # # # # Specialized runners # def flux_file(script_str, run_dir): # """ Calculate the flux file # """ # # aux_dct=None, # # input_name=INPUT_NAME, output_names=OUTPUT_NAMES): # # # # # output_strs = direct() # # # print( # 'Generating flux file with TS N(E) from VaReCoF output...') # run_script(script_str, run_dir) # # # # with open(): # # flux_str = fobj.read() # # # # return flux_str # # # # General runners # def direct(script_str, run_dir, # aux_dct=None, # input_name=INPUT_NAME, output_names=OUTPUT_NAMES): # """ Builds all of the VaReCoF input and then returns the output strings # """ # # input_str, aux_dcr = _write_varecof_input() # # # Run VaReCoF # output_strs = from_input_string( # script_str, run_dir, input_str, # aux_dct=aux_dct, # input_name=input_name, # output_names=output_names) # # return output_strs # # # # Helpful runners for the more directly called ones # def compile_potentials(vrc_path, mep_distances, potentials, # bnd_frm_idxs, fortran_compiler, # dist_restrict_idxs=(), # pot_labels=(), # pot_file_names=(), # spc_name='mol'): # """ use the MEP potentials to compile the correction potential .so file # """ # # # Change the coordinates of the MEP distances # # mep_distances = [dist * phycon.BOHR2ANG for dist in mep_distances] # # # Build string Fortan src file containing correction potentials # species_corr_str = varecof_io.writer.corr_potentials.species( # mep_distances, # potentials, # bnd_frm_idxs, # dist_restrict_idxs=dist_restrict_idxs, # pot_labels=pot_labels, # species_name=spc_name) # # # Build string dummy corr file where no correction used # dummy_corr_str = varecof_io.writer.corr_potentials.dummy() # # # Build string for auxiliary file needed for spline fitting # pot_aux_str = varecof_io.writer.corr_potentials.auxiliary() # # # Build string for makefile to compile corr pot file into .so file # makefile_str = varecof_io.writer.corr_potentials.makefile( # fortran_compiler, pot_file_names=pot_file_names) # # # Write all of the files needed to build the correction potential # with open(os.path.join(vrc_path, spc_name+'_corr.f'), 'w') as corr_file: # corr_file.write(species_corr_str) # with open(os.path.join(vrc_path, 'dummy_corr.f'), 'w') as corr_file: # corr_file.write(dummy_corr_str) # with open(os.path.join(vrc_path, 'pot_aux.f'), 'w') as corr_file: # corr_file.write(pot_aux_str) # with open(os.path.join(vrc_path, 'makefile'), 'w') as corr_file: # corr_file.write(makefile_str) # # # Compile the correction potential # varecof_io.writer.corr_potentials.compile_corr_pot(vrc_path) # # # Maybe read the potential and return it, prob not needed # # # def frame_oriented_structure(vrc_path, script_str, divsur_inp_str): # """ get the divsur.out string containing divsur-frame geoms # """ # # # Have to to path with divsur.inp to run script (maybe can fix) # os.chdir(vrc_path) # # # Run the VaReCoF utility script to get the divsur.out file # # Contains the fragment geometries in the divsur-defined coord sys # varecof_io.writer.util.divsur_frame_geom_script() # # # Read fragment geoms from divsur.out with coordinates in the divsurframe # # with open(os.path.join(vrc_path, 'divsur.out'), 'r') as divsur_file: # # output_string = divsur_file.read() # # # geoms = varecof_io.reader.__(output_string) # # # return geoms # # # # STUFF FROM MECHDRIVER # def _write_varecof_input(ref_zma, ts_info, ts_formula, high_mul, # rct_ichs, rct_info, rct_zmas, # active_space, mod_var_sp1_thy_info, # npot, inf_sep_ene, # min_idx, max_idx, # vrc_dct, vrc_path, script_str): # """ prepare all the input files for a vrc-tst calculation # """ # # r1dists_lr = vrc_dct['r1dists_lr'] # r1dists_sr = vrc_dct['r1dists_sr'] # r2dists_sr = vrc_dct['r2dists_sr'] # d1dists = vrc_dct['d1dists'] # d2dists = vrc_dct['d2dists'] # conditions = vrc_dct['conditions'] # nsamp_max = vrc_dct['nsamp_max'] # nsamp_min = vrc_dct['nsamp_min'] # flux_err = vrc_dct['flux_err'] # pes_size = vrc_dct['pes_size'] # base_name = vrc_dct['base_name'] # # exe_path = vrc_dct['exe_path'] # # # Build geometries needed for the varecof run # total_geom, frag_geoms, frag_geoms_wdummy = fragment_geometries( # ref_zma, rct_zmas, min_idx, max_idx) # # # Set information for the pivot points needed in divsur.inp # frames, npivots = build_pivot_frames( # min_idx, max_idx, total_geom, frag_geoms, frag_geoms_wdummy) # pivot_angles = calc_pivot_angles(frag_geoms, frag_geoms_wdummy, frames) # pivot_xyzs = calc_pivot_xyzs(min_idx, max_idx, total_geom, frag_geoms) # # # Write the long- and short-range divsur input files # lrdivsur_inp_str = varecof_io.writer.input_file.divsur( # r1dists_lr, 1, 1, [0.0, 0.0, 0.0], [0.0, 0.0, 0.0]) # # # Write the short-range divsur files # t1angs = [pivot_angles[0]] if pivot_angles[0] is not None else [] # t2angs = [pivot_angles[1]] if pivot_angles[1] is not None else [] # if automol.geom.is_atom(frag_geoms[0]): # d1dists = [] # t1angs = [] # if automol.geom.is_atom(frag_geoms[1]): # d2dists = [] # t2angs = [] # if automol.geom.is_linear(frag_geoms[0]): # d1dists = [0.] # t1angs = [] # if automol.geom.is_linear(frag_geoms[1]): # d2dists = [0.] # t2angs = [] # if all(npiv > 1 for npiv in npivots): # r2dists = r2dists_sr # else: # r2dists = [] # ioprinter.warning_message('no r2dist') # # srdivsur_inp_str = varecof_io.writer.input_file.divsur( # r1dists_sr, npivots[0], npivots[1], pivot_xyzs[0], pivot_xyzs[1], # frame1=frames[0], frame2=frames[1], # d1dists=d1dists, d2dists=d2dists, # t1angs=t1angs, t2angs=t2angs, # r2dists=r2dists, # **conditions) # # # Build the structure input file string # struct_inp_str = varecof_io.writer.input_file.structure( # frag_geoms_wdummy[0], frag_geoms_wdummy[1]) # # # Write the structure and divsur files to get the divsur out file # inp = (( # (struct_inp_str, 'structure.inp'), (srdivsur_inp_str, 'divsur.inp'))) # _write_varecof_inp(inp, vrc_path) # # # Obtain the divsur.out file with divsur-frame fragment geoms # divsur_out_str = build_divsur_out_file(vrc_path, os.getcwd()) # # # Write the tst.inp file # faces, faces_symm = assess_face_symmetries(divsur_out_str) # tst_inp_str = varecof_io.writer.input_file.tst( # nsamp_max, nsamp_min, flux_err, pes_size, # faces=faces, faces_symm=faces_symm) # # # Write the molpro executable and potential energy surface input string # els_inp_str = varecof_io.writer.input_file.elec_struct( # vrc_path, base_name, npot, # dummy_name='dummy_corr_', lib_name='libcorrpot.so', # exe_name='molpro.sh', # geom_ptt='GEOMETRY_HERE', ene_ptt='molpro_energy') # # # Write the electronic structure template file # tml_inp_str = _build_molpro_template_str( # ref_zma, ts_info, ts_formula, high_mul, # rct_ichs, rct_info, # active_space, mod_var_sp1_thy_info, # inf_sep_ene) # # # Write the mc_flux.inp input string # mc_flux_inp_str = varecof_io.writer.input_file.mc_flux() # # # Write the convert.inp input string # conv_inp_str = varecof_io.writer.input_file.convert() # # # Write machines file to set compute nodes # machine_file_str = build_machinefile_str() # # # Collate the input strings and write the remaining files # input_strs = ( # lrdivsur_inp_str, tst_inp_str, # els_inp_str, tml_inp_str, # mc_flux_inp_str, conv_inp_str, # machine_file_str, script_str) # input_names = ( # 'lr_divsur.inp', 'tst.inp', # 'molpro.inp', 'mol.tml', # 'mc_flux.inp', 'convert.inp', # 'machines', 'molpro.sh') # inp = tuple(zip(input_strs, input_names)) # _write_varecof_inp(inp, vrc_path) # # # def _build_molpro_template_str(ref_zma, ts_info, ts_formula, high_mul, # rct_ichs, rct_info, # active_space, mod_var_sp1_thy_info, # inf_sep_ene): # """ Write the electronic structure template file # """ # # cas_kwargs = wfn.build_wfn(ref_zma, ts_info, ts_formula, high_mul, # rct_ichs, rct_info, # active_space, mod_var_sp1_thy_info) # # tml_inp_str = wfn.wfn_string( # ts_info, mod_var_sp1_thy_info, inf_sep_ene, cas_kwargs) # # return tml_inp_str # # # VRC_DCT = { # 'fortran_compiler': 'gfortran', # 'base_name': 'mol', # 'spc_name': 'mol', # 'memory': 4.0, # 'r1dists_lr': [8., 6., 5., 4.5, 4.], # 'r1dists_sr': [4., 3.8, 3.6, 3.4, 3.2, 3., 2.8, 2.6, 2.4, 2.2], # 'r2dists_sr': [4., 3.8, 3.6, 3.4, 3.2, 3., 2.8, 2.6, 2.4, 2.2], # 'd1dists': [0.01, 0.5, 1.], # 'd2dists': [0.01, 0.5, 1.], # 'conditions': {}, # 'nsamp_max': 2000, # 'nsamp_min': 50, # 'flux_err': 10, # 'pes_size': 2, # }

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10,764

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true

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null

0

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3

dd00f6cb87351247a7649d40c0143f1b9a2e718c

2,768

py

Python

src/lib/utils.py

snxfz947/EmailForwardingValidator

c2062fae0a7d9b55d33e8ed1577dd54ca9a2d62c

[ "MIT" ]

null

src/lib/utils.py

snxfz947/EmailForwardingValidator

c2062fae0a7d9b55d33e8ed1577dd54ca9a2d62c

[ "MIT" ]

10

2019-06-13T07:33:27.000Z

2019-07-18T03:35:20.000Z

src/lib/utils.py

snxfz947/email-forwarding-validator

c2062fae0a7d9b55d33e8ed1577dd54ca9a2d62c

[ "MIT" ]

null

import json import os def config_get_dev(): with open("../dev_config.json") as config_file: return json.load(config_file) def config_get_user(): with open("../user_config.json") as config_file: return json.load(config_file) def config_get_backup_size(): return config_get_user()["backup_size"] def config_get_email_cycle_delay(): return config_get_user()["email_cycle_delay"] def config_get_num_cycle(): return config_get_user()["num_cycle"] def config_get_receiver_email(): return config_get_user()["receiver"]["test"] def config_get_receiver_info_email(): return config_get_user()["receiver"]["info"] def config_get_sender_gmail(): return config_get_user()["sender_gmail"] def config_get_message_bodies(): return config_get_dev()["message_body"] def config_get_repo_path(): return config_get_dev()["paths"]["repo_path"] def config_get_python_invoker(): return config_get_dev()["python_invoker"] def config_get_scopes(): return config_get_dev()["scopes"] def config_get_subjects(): return config_get_dev()["subject"] def config_get_verbosities(): return config_get_dev()["verbosity"] def config_replace_cronjob_line(find_string, replace_string_with, contains=False): f = open("../cronjob", "r") lines = f.readlines() f.close() for i, line in enumerate(lines): if (contains and find_string in line) or (line.rstrip("\n") == find_string): lines[i] = replace_string_with + "\n" f = open("../cronjob", "w") contents = "".join(lines) f.write(contents) f.close() return True return False def config_clear_user_config(): user_config = config_get_user() user_config["receiver"]["test"] = "fill_this_in" user_config["receiver"]["info"] = "fill_this_in" user_config["sender_gmail"] = "fill_this_in" with open("../user_config.json", "w") as config_file: json.dump(user_config, config_file, indent=4, sort_keys=True) def config_clear_receive_credentials(): new_config = {} new_config["@note"] = "add receive credentials here" with open("../receive/credentials-receive.json", "w") as config_file: json.dump(new_config, config_file, indent=4, sort_keys=True) def config_clear_send_credentials(): new_config = {} new_config["@note"] = "add send credentials here" with open("../send/credentials-send.json", "w") as config_file: json.dump(new_config, config_file, indent=4, sort_keys=True) def config_clear_cronjob_repo_path(): config_replace_cronjob_line("repo_path=", "{repo_path_cmd}", True) def config_delete_tokens(): os.remove("../receive/token.json") os.remove("../send/token.json")

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2,768

4.635171

0.220472

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0.311438

0.271801

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0

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0.173049

2,768

109

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25.394495

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0

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0.030708

0

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0.298507

false

0

0.029851

0.179104

0.567164

0

null

0

null

0

1

0

1

0

3

dd1ac4acba4b4b56d1279eb5bae75cbd89ce33a6

2,232

py

Python

server/web.py

xiaojieluo/dove-admin

09e1c7c0e8b40cf0c677a867615b066805fb3f5d

[ "Apache-2.0" ]

1

2021-11-07T20:21:57.000Z

server/web.py

xiaojieluo/dove-admin

09e1c7c0e8b40cf0c677a867615b066805fb3f5d

[ "Apache-2.0" ]

null

server/web.py

xiaojieluo/dove-admin

09e1c7c0e8b40cf0c677a867615b066805fb3f5d

[ "Apache-2.0" ]

null

from jinja2 import Environment, PackageLoader, TemplateNotFound import jinja2 import yaml import os from sanic import response import sqlite3 class Cache(object): ''' 刷新缓存 1. 更新 content 目录下的文件到数据库 dove 没有删除文件操作 ''' def __init__(self): pass def update(self): pass class Database(object): '''sqlite3''' def __init__(self, path=""): # self.settings = settings # self.filename = os.path.join(self.settings.get('path'), self.settings.get('filename')) self.path = path self.init() def init(self): ''' 当数据库不存在时初始化数据库 ''' if not os.path.exists(self.path): self.run('create table articles (id varchar(20) primary key, path varchar(30))') @property def connect(self): return sqlite3.connect(self.path) @property def cursor(self): return self.connect.cursor() def __del__(self): self.cursor.close() self.connect.close() def insert(self, sql): return self.run(sql) def run(self, sql): '''运行 sql 语句''' self.cursor.execute(sql) return self.cursor.fetchall() class Template(object): ''' 模板类 ''' def __init__(self): self.env = Environment(loader=PackageLoader('server', 'templates')) def render(self, tpl_name, **kw): '''渲染模板''' try: template = self.env.get_template(tpl_name) except TemplateNotFound: template = jinja2.Template('oops, some error: {} not found'.format(tpl_name)) return template.render() return template.render(**kw) class Cookie(object): '''sanic 的 cookie 封装''' _keys = { "expires": "expires", "path": "Path", "comment": "Comment", "domain": "Domain", "max-age": "Max-Age", "secure": "Secure", "httponly": "HttpOnly", "version": "Version", } def __init__(self): pass def write(self, res, key, value, **kw): ''' 写入 cookies ''' # res = # key = response.redirect('/') res.cookies[key] = value return res def delete(self): '''删除 cookie ''' pass

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2,232

5.03719

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null

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null

0

1

0

1

0

1

0

3

dd23c3c6d343ec7d8ad43984661fd65965a50115

150

py

Python

scify/__init__.py

DanielBok/scify

9d4d31deb4379b9782e09f56fa39249a70f9e495

[ "MIT" ]

6

2019-04-06T09:07:36.000Z

2020-12-27T19:05:16.000Z

scify/__init__.py

DanielBok/scify

9d4d31deb4379b9782e09f56fa39249a70f9e495

[ "MIT" ]

null

scify/__init__.py

DanielBok/scify

9d4d31deb4379b9782e09f56fa39249a70f9e495

[ "MIT" ]

null

# -*- coding: utf-8 -*- """Top-level package for scify.""" __author__ = """Daniel Bok""" __email__ = 'daniel.bok@outlook.com' __version__ = '0.1.0'

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150

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0

1

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null

1

0

1

0

null

0

3

dd4cb22f0e4a6df802191e6e06978d922886e305

212

py

Python

Python/UberX.py

israellp24/CursoPOOUber

64895b4a8c4bfeb31c9b4f5df05401617c996a7c

[ "MIT" ]

null

Python/UberX.py

israellp24/CursoPOOUber

64895b4a8c4bfeb31c9b4f5df05401617c996a7c

[ "MIT" ]

null

Python/UberX.py

israellp24/CursoPOOUber

64895b4a8c4bfeb31c9b4f5df05401617c996a7c

[ "MIT" ]

null

from car import Car class UberX(Car): brand=str model=str def __init__(self, license, driver,brand,model): super().__init__(license, driver) self.brand=brand self.model=model

21.2

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null

0

1

0

3

dd56a6ad4d2c736e5b1595a14361de96d9a9cd35

527

py

Python

python/merge-the-tools.py

gajubadge11/hackerrank-3

132a5019b7ed21507bb95b5063fa66c446b0eff7

[ "MIT" ]

21

2015-02-09T18:08:38.000Z

2021-11-08T15:00:48.000Z

python/merge-the-tools.py

gajubadge11/hackerrank-3

132a5019b7ed21507bb95b5063fa66c446b0eff7

[ "MIT" ]

7

2020-04-12T23:00:19.000Z

2021-01-30T23:44:24.000Z

python/merge-the-tools.py

gajubadge11/hackerrank-3

132a5019b7ed21507bb95b5063fa66c446b0eff7

[ "MIT" ]

27

2015-07-22T18:08:12.000Z

2022-02-28T19:50:26.000Z

from collections import OrderedDict def merge_the_tools(string, split_length): splits = split_strings(string, split_length) result = remove_repeats(splits) print ("\n".join(result)) def split_strings(string, split_length): return [string[i : i + split_length] for i in range(0, len(string), split_length)] def remove_repeats(strings): return ["".join(OrderedDict.fromkeys(string)) for string in strings] if __name__ == '__main__': string, k = input(), int(input()) merge_the_tools(string, k)

26.35

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0.71537

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4.944444

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0.191011

0.106742

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527

19

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0

1

0

null

0

1

0

1

0

3

dd6b41f2840e438a8b58e7e0cf3bb845f00375c7

59

py

Python

remo/remozilla/__init__.py

Mozilla-GitHub-Standards/6f6b18ac63685c6bf60fff95a3bbcc598378c77ceb14c7404172c570dd1e971d

23ca8d46496b491fbdb2b8a72c91e75372932f23

[ "BSD-3-Clause" ]

27

2015-01-02T18:47:56.000Z

2021-08-14T11:48:24.000Z

remo/remozilla/__init__.py

Mozilla-GitHub-Standards/6f6b18ac63685c6bf60fff95a3bbcc598378c77ceb14c7404172c570dd1e971d

23ca8d46496b491fbdb2b8a72c91e75372932f23

[ "BSD-3-Clause" ]

450

2015-01-02T12:29:50.000Z

2020-10-27T21:41:38.000Z

remo/remozilla/__init__.py

Mozilla-GitHub-Standards/6f6b18ac63685c6bf60fff95a3bbcc598378c77ceb14c7404172c570dd1e971d

23ca8d46496b491fbdb2b8a72c91e75372932f23

[ "BSD-3-Clause" ]

81

2015-01-10T23:59:32.000Z

2021-08-19T17:08:56.000Z

default_app_config = 'remo.remozilla.apps.RemozillaConfig'

29.5

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false

0

1

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null

0

1

0

1

null

0

3

dd924644b9849951633ba853327ac6a139edd7ec

1,138

py

Python

glint_backup/glintargparse.py

m-conklin/glint

a7923e2b1474b2c9bacbb56dc4e0dd955323d794

[ "Apache-2.0" ]

3

2015-08-04T03:59:32.000Z

2017-01-11T06:18:13.000Z

glint_backup/glintargparse.py

m-conklin/glint

a7923e2b1474b2c9bacbb56dc4e0dd955323d794

[ "Apache-2.0" ]

6

2015-03-05T20:05:23.000Z

2021-07-14T00:23:25.000Z

glint_backup/glintargparse.py

m-conklin/glint

a7923e2b1474b2c9bacbb56dc4e0dd955323d794

[ "Apache-2.0" ]

4

2015-03-31T23:21:10.000Z

2018-09-18T22:21:37.000Z

''' Created on Nov 20, 2014 @author: ronaldjosephdesmarais ''' import argparse class GlintArgumentParser: parser=None def __init__(self): print "Init GlintArgumentParser" self.parser = argparse.ArgumentParser(description='Glint\'s Backup Argument Parser') def init_restore_arg_parser(self): self.parser.add_argument("-c","--cfgfile",nargs=1,help="Required Configuration File for restore or uses default") self.parser.add_argument("-v","--version",nargs=1,help="This Parameter is required or tool will fail") self.parser.add_argument("-t","--tenant",nargs=1,help="Specify a tenant directory you wish to restore, rather than all tenants of a versioning") self.parser.add_argument("-i","--image-name",nargs='*',help="Used with the --tenant option if you wish to restore a single image from a tenant") self.parser.add_argument("-l","--list-images",action='store_true',help="Used with --tenant to list images in a tenant at the specifed --version") def init_backup_arg_parser(self): self.parser.add_argument("-cfgfile",nargs=1)

43.769231

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1

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1

0

null

0

1

0

3

dd9aa90f9b9261c295afff0bef1b2de2f889f96b

279

py

Python

allhub/search/__init__.py

srinivasreddy/allhub

ff20858c9984da5c4edd5043c39eed3b6d5d693d

[ "Apache-2.0" ]

2

2019-10-07T15:46:33.000Z

2019-11-26T04:30:39.000Z

allhub/search/__init__.py

srinivasreddy/allhub

ff20858c9984da5c4edd5043c39eed3b6d5d693d

[ "Apache-2.0" ]

1

2020-03-09T14:44:04.000Z

allhub/search/__init__.py

srinivasreddy/allhub

ff20858c9984da5c4edd5043c39eed3b6d5d693d

[ "Apache-2.0" ]

2

2019-10-08T05:22:37.000Z

2019-10-08T06:20:47.000Z

# flake8: NOQA from .search import ( Order, LabelSort, CodeSort, CommitSort, IssueSort, RepoSort, UserSort, SearchMixin as _SearchMixin, ) from allhub.util import ConflictCheck class SearchMixin(_SearchMixin, metaclass=ConflictCheck): pass

15.5

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0.698925

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279

7.423077

0.769231

0

0.004673

0.232975

279

17

58

16.411765

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0

1

0

true

0.076923

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0

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0

1

0

null

0

null

0

1

0

3

06bb2a4f87ae8461aa40975009e4564a7d9d9b82

4,641

py

Python

main.py

prokan468/googleclassesautobot

805d2caf8bbe446b1a70fdbd39e0afa45f5a5868

[ "FSFAP" ]

1

2022-01-13T14:13:19.000Z

main.py

prokan468/googleclassesautobot

805d2caf8bbe446b1a70fdbd39e0afa45f5a5868

[ "FSFAP" ]

null

main.py

prokan468/googleclassesautobot

805d2caf8bbe446b1a70fdbd39e0afa45f5a5868

[ "FSFAP" ]

null

import webbrowser import pyautogui as magic from datetime import datetime import time import sys import yaml sys.tracebacklimit=0 settings_path="setting.yaml" with open(settings_path) as f: settings = yaml.load(f, Loader=yaml.FullLoader) alltimings = settings['alltimings'] timing = alltimings['starttime'] endtime = alltimings['endtime'] columns = alltimings['range'] google_meet = settings["google meets"] link = google_meet["link"] code = google_meet['code'] def preemeeting(): print('Going to enter the meeting') magic.press('tab') magic.press('tab') magic.press('tab') magic.press('tab') magic.press('enter') magic.press('tab') magic.press('enter') magic.press('tab') magic.press('tab') magic.press('tab') magic.press('tab') magic.press('enter') waitingforend() def preemeeting2(): print('Going to enter the meeting') magic.press('tab') magic.press('tab') magic.press('tab') magic.press('tab') magic.press('enter') magic.press('tab') magic.press('enter') magic.press('tab') magic.press('tab') magic.press('tab') magic.press('enter') waitingforend() def entermeeting(): blank = magic.locateCenterOnScreen('core\stream.png', confidence = 0.8) magic.moveTo(blank) magic.click() magic.click() magic.press('tab') magic.press('tab') magic.press('tab') magic.press('tab') magic.press('enter') time.sleep(10) waiting() def waiting(): wait = magic.locateCenterOnScreen('core\waiting-for-meeting.png', confidence = 0.8) if wait == None: preemeeting() else: magic.hotkey('ctrl', 'r') print('Waiting for the meeting to be started by the teacher') k = True while k == True: if wait == None: preemeeting() else: magic.hotkey('ctrl', 'r') time.sleep(15) def googlemeets(): print('Waiting for the start time') while True: curr = datetime.now().strftime("%H:%M") for now in timing: if now == curr: i = 0 while i <= columns: if curr == timing[i]: print(i) break i += 1 if link == [] and code == []: webbrowser.get('windows-default').open('https://classroom.google.com') time.sleep(15) for z in range(0,3): magic.press('tab') if i == 0: magic.press('enter') else: for b in range(0,i): magic.press('tab') magic.press('tab') magic.press('tab') magic.press('tab') magic.press('enter') time.sleep(10) entermeeting() elif link == []: webbrowser.get('windows-default').open('https://meet.google.com/') time.sleep(15) textbox= magic.locateCenterOnScreen('core\enter-meeting-id.png') magic.moveTo(textbox) magic.click() magic.write(code[i]) magic.press('enter') time.sleep(10) preemeeting2() elif code == []: webbrowser.get('windows-default').open(link[i]) time.sleep(15) preemeeting2() else: print('Please enter either the meeting code or the meeting link') def waitingforend(): print('waiting for the end time') while True: curr2 = datetime.now().strftime("%H:%M") for now2 in endtime: if now2 == curr2: magic.press('tab') magic.press('tab') magic.press('tab') magic.press('tab') magic.press('tab') magic.press('tab') magic.press('tab') magic.press('tab') magic.press('enter') time.sleep(2) magic.hotkey('alt', 'f4') googlemeets() else: time.sleep(2) googlemeets()

29.75

91

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0.453627

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false

0

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0.051095

0

null

1

0

null

0

3

06d1bbd1a1a8edfc7c07609952ce8ed9b2c3c8c7

702

py

Python

examples/Keras_issue_14043.py

Ankuraxz/keras

f037c198f0f11121733d402e0020779faf2d10df

[ "MIT" ]

null

examples/Keras_issue_14043.py

Ankuraxz/keras

f037c198f0f11121733d402e0020779faf2d10df

[ "MIT" ]

null

examples/Keras_issue_14043.py

Ankuraxz/keras

f037c198f0f11121733d402e0020779faf2d10df

[ "MIT" ]

1

2020-05-30T18:21:08.000Z

# After tensorflow 2, keras is being used in Backend # comment shows an alternative way to run the command #Documentation:- https://keras.io/api/datasets/cifar10/ # Version for your reference, Downgrade/ Ugrade/ Reinstall Accordingly import keras print(keras.__version__) #2.2.4 in my case from keras.datasets import cifar10 (x_train,y_train), (x_test, y_test) = cifar10.load_data() print(len(x_train)) print(x_train[0]) # Screenshot of Output, For Your Reference :- # Using Tf2 :- Recommended #pip install tensorflow # from tensorflow.keras.datasets import cifar10 # (x_train,y_train), (x_test, y_test) = cifar10.load_data() # print(len(x_train)) # print(x_train[0])

27

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105

702

4.695238

0.514286

0.073022

0.064909

0.105477

0.361055

0

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0.162393

702

25

72

28.08

0.809524

0.676638

0

1

0

true

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0.333333

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null

0

null

0

1

0

1

0

1

0

3

06e91ab38261c33350d4ae06131c01a664ac03c0

27

py

Python

backend/app/__init__.py

tamasf97/Platform

b5d69d051b6e8dc7d56f723146392c49db5e99c3

[ "MIT" ]

1

2019-09-22T10:21:17.000Z

backend/app/__init__.py

tamasf97/Platform

b5d69d051b6e8dc7d56f723146392c49db5e99c3

[ "MIT" ]

20

2019-09-26T13:54:12.000Z

2022-02-26T18:07:34.000Z

backend/app/__init__.py

tamasf97/Platform

b5d69d051b6e8dc7d56f723146392c49db5e99c3

[ "MIT" ]

1

2019-09-20T09:50:01.000Z

__all__ = ['models', 'api']

27

0.592593

3

27

4

1

0

0.111111

27

1

27

0.5

0

0.321429

0

1

0

false

0

1

0

null

0

1

0

null

0

3

06ea8004539700a4a43a76a2499ca8c1ad28ddfa

398

py

Python

Despliegue/server-agentes/traffic_light_agent.py

MarianaS8a/Bright

f8153471928afdc32a3dfaa2e4730443ae4949e2

[ "MIT" ]

null

Despliegue/server-agentes/traffic_light_agent.py

MarianaS8a/Bright

f8153471928afdc32a3dfaa2e4730443ae4949e2

[ "MIT" ]

null

Despliegue/server-agentes/traffic_light_agent.py

MarianaS8a/Bright

f8153471928afdc32a3dfaa2e4730443ae4949e2

[ "MIT" ]

null

from mesa import Agent,Model import time class TrafficLightAgent(Agent): def __init__(self, unique_id: int, model: Model) -> None: super().__init__(unique_id, model) self.lightColor = False def turnGreen(self): self.lightColor = True def getLight(self): return self.lightColor def turnRed(self): self.lightColor = False

24.875

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5.333333

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16

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24.875

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0

null

1

0

null

0

1

0

1

0

3

66352e0784df7a8c77326bd6c439a286b016358f

67

py

Python

rtwilio/__init__.py

datamade/rapidsms-twilio

a9c1bdd1fce7c99ffbe7fb4b990cd641f5382b19

[ "BSD-3-Clause" ]

1

2019-03-04T10:00:39.000Z

rtwilio/__init__.py

datamade/rapidsms-twilio

a9c1bdd1fce7c99ffbe7fb4b990cd641f5382b19

[ "BSD-3-Clause" ]

1

2018-08-23T22:12:35.000Z

2018-08-24T14:32:35.000Z

rtwilio/__init__.py

datamade/rapidsms-twilio

a9c1bdd1fce7c99ffbe7fb4b990cd641f5382b19

[ "BSD-3-Clause" ]

null

"Twilio backend for the RapidSMS project." __version__ = '1.0.1'

13.4

42

0.716418

10

67

4.4

0.9

0

0.053571

0.164179

67

4

43

16.75

0.732143

0.597015

0

0.671642

0

1

0

false

0

1

0

null

0

1

0

1

0

null

0

3

b0729d00a8745a6458588b812332d8ad159cacbf

769

py

Python

sphinxcontrib/traceables/utils.py

superzerg/sphinxcontrib-traceables

8b5a9d2ccbc253bd409237d8895b8d3c5ad9fe7d

[ "Apache-2.0" ]

null

sphinxcontrib/traceables/utils.py

superzerg/sphinxcontrib-traceables

8b5a9d2ccbc253bd409237d8895b8d3c5ad9fe7d

[ "Apache-2.0" ]

null

sphinxcontrib/traceables/utils.py

superzerg/sphinxcontrib-traceables

8b5a9d2ccbc253bd409237d8895b8d3c5ad9fe7d

[ "Apache-2.0" ]

null

import re from sphinx.util.texescape import escape # ============================================================================= # Node visiting utilities. def visit_passthrough(translator, node): pass def depart_passthrough(translator, node): pass passthrough = (visit_passthrough, depart_passthrough) # ============================================================================= # Input checking utilities. identifier_re = re.compile(r"^[^\d\W]\w*\Z") def is_valid_traceable_attribute_name(input): if identifier_re.match(input): return True else: return False # ============================================================================= # Latex-related utilities. def latex_escape(text): return escape(text)

20.236842

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67

769

5.552239

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0.064516

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0.155914

0

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769

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80

20.783784

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0

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false

0.333333

0.133333

0.066667

0.6

0

null

0

null

0

1

0

1

0

1

0

3

b08eb3bcc0631ae3a43fd313c302d7bbdef44029

50

py

Python

incise/__init__.py

Exahilosys/incise

77ad7be0332f0ee7586c1185aeac3162756f0c75

[ "MIT" ]

null

incise/__init__.py

Exahilosys/incise

77ad7be0332f0ee7586c1185aeac3162756f0c75

[ "MIT" ]

null

incise/__init__.py

Exahilosys/incise

77ad7be0332f0ee7586c1185aeac3162756f0c75

[ "MIT" ]

null

from .core import * __all__ = (*core.__all__,)

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0

null

0

1

0

3

b09674c3e57bc227eba73f4fa3feb2352cd398e8

9,032

py

Python

tests/test_server_utils.py

jecki/DHParser

c6c1bd7db2de85b5997a3640242f4f444532304e

[ "Apache-2.0" ]

2

2020-12-25T19:37:42.000Z

2021-03-26T04:59:12.000Z

tests/test_server_utils.py

jecki/DHParser

c6c1bd7db2de85b5997a3640242f4f444532304e

[ "Apache-2.0" ]

6

2018-08-07T22:48:52.000Z

2021-10-07T18:38:20.000Z

tests/test_server_utils.py

jecki/DHParser

c6c1bd7db2de85b5997a3640242f4f444532304e

[ "Apache-2.0" ]

null

#!/usr/bin/env python3 """test_server_utils.py - tests for utility-functions in the, server-module of DHParse. Author: Eckhart Arnold <arnold@badw.de> Copyright 2020 Bavarian Academy of Sciences and Humanities Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. """ import asyncio import concurrent.futures import collections.abc import json import os import sys import traceback scriptpath = os.path.dirname(__file__) or '.' sys.path.append(os.path.abspath(os.path.join(scriptpath, '..'))) from DHParser.server import pp_json, ExecutionEnvironment, asyncio_run from DHParser.toolkit import json_dumps, json_encode_string class TestExecutionEnvironment: def test_execenv(self): def fault(): raise AssertionError async def main(): loop = asyncio.get_running_loop() if sys.version_info >= (3, 7) \ else asyncio.get_event_loop() env = ExecutionEnvironment(loop) return await env.execute(None, fault, []) result, rpc_error = asyncio_run(main()) json_str = '{"jsonrpc": "2.0", "error": {"code": %i, "message": %s}}' % \ (rpc_error[0], json_encode_string(rpc_error[1])) assert json_str.find('Traceback') >= 0 class TestUtils: data = ('{"jsonrpc":"2.0","id":0,"method":"initialize","params":{"processId":17666,' '"rootPath":"/home/eckhart/Entwicklung/DHParser/examples/EBNF_fork","rootUri":' '"file:///home/eckhart/Entwicklung/DHParser/examples/EBNF_fork","capabilities":' '{"workspace":{"applyEdit":true,"workspaceEdit":{"documentChanges":true},' '"didChangeConfiguration":{"dynamicRegistration":true},"didChangeWatchedFiles":' '{"dynamicRegistration":true},"symbol":{"dynamicRegistration":true,"symbolKind":' '{"valueSet":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,' '26]}},"executeCommand":{"dynamicRegistration":true},"configuration":true,' '"workspaceFolders":true},"textDocument":{"publishDiagnostics":' '{"relatedInformation":true},"synchronization":{"dynamicRegistration":true,' '"willSave":true,"willSaveWaitUntil":true,"didSave":true},"completion":' '{"dynamicRegistration":true,"contextSupport":true,"completionItem":' '{"snippetSupport":true,"commitCharactersSupport":true,"documentationFormat":' '["markdown","plaintext"],"deprecatedSupport":true,"preselectSupport":true},' '"completionItemKind":{"valueSet":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,' '19,20,21,22,23,24,25]}},"hover":{"dynamicRegistration":true,"contentFormat":' '["markdown","plaintext"]},"signatureHelp":{"dynamicRegistration":true,' '"signatureInformation":{"documentationFormat":["markdown","plaintext"]}},' '"definition":{"dynamicRegistration":true},"references":{"dynamicRegistration":' 'true},"documentHighlight":{"dynamicRegistration":true},"documentSymbol":' '{"dynamicRegistration":true,"symbolKind":{"valueSet":[1,2,3,4,5,6,7,8,9,10,11,' '12,13,14,15,16,17,18,19,20,21,22,23,24,25,26]},' '"hierarchicalDocumentSymbolSupport":true},"codeAction":{"dynamicRegistration":' 'true,"codeActionLiteralSupport":{"codeActionKind":{"valueSet":["","quickfix",' '"refactor","refactor.extract","refactor.inline","refactor.rewrite","source",' '"source.organizeImports"]}}},"codeLens":{"dynamicRegistration":true},' '"formatting":{"dynamicRegistration":true},"rangeFormatting":' '{"dynamicRegistration":true},"onTypeFormatting":{"dynamicRegistration":true},' '"rename":{"dynamicRegistration":true},"documentLink":{"dynamicRegistration":' 'true},"typeDefinition":{"dynamicRegistration":true},"implementation":' '{"dynamicRegistration":true},"colorProvider":{"dynamicRegistration":true},' '"foldingRange":{"dynamicRegistration":true,"rangeLimit":5000,"lineFoldingOnly":' 'true}}},"trace":"off","workspaceFolders":[{"uri":' '"file:///home/eckhart/Entwicklung/DHParser/examples/EBNF_fork",' '"name":"EBNF_fork"}]}}') expected = """{ "jsonrpc": "2.0", "id": 0, "method": "initialize", "params": { "processId": 17666, "rootPath": "/home/eckhart/Entwicklung/DHParser/examples/EBNF_fork", "rootUri": "file:///home/eckhart/Entwicklung/DHParser/examples/EBNF_fork", "capabilities": { "workspace": { "applyEdit": true, "workspaceEdit": {"documentChanges": true}, "didChangeConfiguration": {"dynamicRegistration": true}, "didChangeWatchedFiles": {"dynamicRegistration": true}, "symbol": { "dynamicRegistration": true, "symbolKind": { "valueSet": [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26]}}, "executeCommand": {"dynamicRegistration": true}, "configuration": true, "workspaceFolders": true}, "textDocument": { "publishDiagnostics": {"relatedInformation": true}, "synchronization": { "dynamicRegistration": true, "willSave": true, "willSaveWaitUntil": true, "didSave": true}, "completion": { "dynamicRegistration": true, "contextSupport": true, "completionItem": { "snippetSupport": true, "commitCharactersSupport": true, "documentationFormat": ["markdown","plaintext"], "deprecatedSupport": true, "preselectSupport": true}, "completionItemKind": { "valueSet": [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25]}}, "hover": { "dynamicRegistration": true, "contentFormat": ["markdown","plaintext"]}, "signatureHelp": { "dynamicRegistration": true, "signatureInformation": { "documentationFormat": ["markdown","plaintext"]}}, "definition": {"dynamicRegistration": true}, "references": {"dynamicRegistration": true}, "documentHighlight": {"dynamicRegistration": true}, "documentSymbol": { "dynamicRegistration": true, "symbolKind": { "valueSet": [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26]}, "hierarchicalDocumentSymbolSupport": true}, "codeAction": { "dynamicRegistration": true, "codeActionLiteralSupport": { "codeActionKind": { "valueSet": ["","quickfix","refactor","refactor.extract","refactor.inline","refactor.rewrite","source","source.organizeImports"]}}}, "codeLens": {"dynamicRegistration": true}, "formatting": {"dynamicRegistration": true}, "rangeFormatting": {"dynamicRegistration": true}, "onTypeFormatting": {"dynamicRegistration": true}, "rename": {"dynamicRegistration": true}, "documentLink": {"dynamicRegistration": true}, "typeDefinition": {"dynamicRegistration": true}, "implementation": {"dynamicRegistration": true}, "colorProvider": {"dynamicRegistration": true}, "foldingRange": { "dynamicRegistration": true, "rangeLimit": 5000, "lineFoldingOnly": true}}}, "trace": "off", "workspaceFolders": [{ "uri": "file:///home/eckhart/Entwicklung/DHParser/examples/EBNF_fork", "name": "EBNF_fork"}]}}""" def test_pp_json(self): obj = json.loads(self.data) serialized = pp_json(obj) assert sys.version_info < (3, 6) or serialized == self.expected, serialized def test_pp_json_stacktrace(self): try: raise AssertionError() except AssertionError: tb = traceback.format_exc() ppjsn = pp_json({'error' : tb}).replace('\\\\', '/') expected = '{"error": "Traceback (most recent call last):"\n' \ ' " File \\"$SCRIPTPATH/test_server_utils.py\\", ' \ 'line 178, in test_pp_json_stacktrace"\n' \ ' " raise AssertionError()"\n' \ ' "AssertionError"\n ""}'.\ replace('$SCRIPTPATH', scriptpath.replace('\\', '/'), 1).replace('./', '') # print(ppjsn) # print(expected) assert ppjsn == expected, '\n\n' + ppjsn + '\n\n' + expected if __name__ == "__main__": from DHParser.testing import runner runner("", globals())

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null

0

1

0

1

null

0

3

b0969a57bcd5816bae7d71c69c0003b28daf366a

757

py

Python

app/app/constants.py

alasdair-macleod/demoappback

fedd555279a1e3b91172face7cec41eb158cbf0f

[ "MIT" ]

null

app/app/constants.py

alasdair-macleod/demoappback

fedd555279a1e3b91172face7cec41eb158cbf0f

[ "MIT" ]

1

2019-01-16T15:45:31.000Z

app/app/constants.py

alasdair-macleod/demoappback

fedd555279a1e3b91172face7cec41eb158cbf0f

[ "MIT" ]

1

2017-10-30T14:34:41.000Z

from enum import Enum class Constants(Enum): # errors in linear model creation ERR_ERROR_DEG_FREEDOM = 'Error degrees of freedom must be positive. To achieve this increase smallest group size' ERR_NOT_POSITIVE_DEFINITE = 'Sigma star is not positive definite.' ERR_NOT_POSITIVE_DEFINITE_OUTCOME_CORRELATOINS = 'The outcome correlation matrix you have provided does not define a possible correlation matrix. The most common reasons for this are mistakes in data entry, using data from multiple sources or rounding errors.' ERR_NO_DIFFERENCE = 'Your hypothesis and means have been chosen such that there is no difference. As such power can be no greater than your type one error rate. Please change either your hypothesis or your means.'

75.7

264

0.797886

116

757

5.094828

0.672414

0.055838

0.096447

0.07445

0

0.17041

757

9

265

84.111111

0.941083

0.040951

0

0.333333

0.722376

0

1

0

false

0

0.166667

0

1

0

null

0

1

0

1

0

null

0

3

b09f2cf04c3ef409e3ac0f86c9e862fd7bee63f6

101

py

Python

nexradaws/__init__.py

peterdhansen/nexradaws

0658efc5ec95d113a9d87fed3feb71b35293bec4

[ "MIT" ]

28

2018-04-28T19:18:06.000Z

2021-12-01T00:19:30.000Z

nexradaws/__init__.py

peterdhansen/nexradaws

0658efc5ec95d113a9d87fed3feb71b35293bec4

[ "MIT" ]

10

2017-06-30T19:33:20.000Z

2021-07-27T22:39:52.000Z

nexradaws/__init__.py

peterdhansen/nexradaws

0658efc5ec95d113a9d87fed3feb71b35293bec4

[ "MIT" ]

7

2018-10-21T17:39:55.000Z

2021-02-14T01:55:18.000Z

__author__ = 'Aaron Anderson' __version__ = "1.1" from .nexradawsinterface import NexradAwsInterface

25.25

50

0.811881

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101

7.4

0.8

0

0.022222

0.108911

101

3

51

33.666667

0.8

0

0.168317

0

1

0

false

0

0.333333

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0.333333

0

1

0

null

0

1

0

null

0

1

0

3

b0d53858ed56ca6fdaa871c838b188222bd05aed

151

py

Python

Algo201/problem_of_the_class/python/tile.py

oat431/HomeworkCollection

12359eab28416b93f7da00c59fcc44b4e9b7723a

[ "Unlicense" ]

3

2020-01-23T08:43:42.000Z

2021-01-22T15:31:09.000Z

Algo201/problem_of_the_class/python/tile.py

oat431/HomeworkCollection

12359eab28416b93f7da00c59fcc44b4e9b7723a

[ "Unlicense" ]

1

2020-10-08T16:30:24.000Z

2020-10-12T09:06:55.000Z

Algo201/problem_of_the_class/python/tile.py

oat431/HomeworkCollection

12359eab28416b93f7da00c59fcc44b4e9b7723a

[ "Unlicense" ]

3

2020-01-13T14:57:01.000Z

2021-09-22T07:16:49.000Z

def fill_tile(n): if n == 0 or n == 1 or n == 2: return 1 return fill_tile(n-1) + fill_tile(n-2) + fill_tile(n-3) print(fill_tile(8))

25.166667

59

0.569536

32

151

2.53125

0.40625

0.493827

0.444444

0

0.072072

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5

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0

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0

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0

null

1

0

1

0

null

0

3

b0d6059b89638c50e61bd0733c6e460946fadf95

607

py

Python

app.py

ynajem/thenano245

795c037ba609eb92432f5a98dffc86c3f422c66f

[ "MIT" ]

null

app.py

ynajem/thenano245

795c037ba609eb92432f5a98dffc86c3f422c66f

[ "MIT" ]

null

app.py

ynajem/thenano245

795c037ba609eb92432f5a98dffc86c3f422c66f

[ "MIT" ]

null

from flask import Flask, render_template, request, redirect app = Flask(__name__) @app.route("/") def root(): return "Hello, World!" @app.route("/index.html") @app.route("/index.php") def home(): return redirect("/") @app.route("/user/<username>") def user_template(username): return render_template("user.html", name=username) @app.route("/json") def data(): return { "name": "NAJEM UNESS", "email": "y.najem@gmail.com" } @app.route("/submit", methods=['POST', 'GET']) def submit(): if(request.method == "POST"): return request.form return "No data has benn sent!"

17.342857

59

0.642504

80

607

4.7875

0.5

0.125326

0.067885

0

0.158155

607

34

60

17.852941

0.749511

0

0.235585

0

1

0.217391

false

0

0.043478

0.173913

0.521739

0

null

0

null

0

1

0

1

0

3

b0ec8ad6732f3d250c40f03edbf53ddba5f39bd9

1,626

py

Python

tests/test_markup.py

stesla/enview

7963ad3027a72ad7bbf927f5963425a26a6e3201

[ "MIT" ]

null

tests/test_markup.py

stesla/enview

7963ad3027a72ad7bbf927f5963425a26a6e3201

[ "MIT" ]

null

tests/test_markup.py

stesla/enview

7963ad3027a72ad7bbf927f5963425a26a6e3201

[ "MIT" ]

null

from enview.markup import parse, Text def test_parse_empty(): assert parse('') == [] def test_parse_plain(): assert parse('plaintext') == [Text('plaintext')] def test_parse_low_colors(): assert parse('some\x1b[36;44mcolor') == [Text('some'), Text('color', bg='#000080', fg='#008080')] def test_parse_high_colors(): assert parse('some\x1b[96;104mcolor') == [Text('some'), Text('color', bg='#0000ff', fg='#00ffff')] def test_parse_256_low(): assert parse('\x1b[38;5;1;48;5;2mword') == [Text('word', bg='#008000', fg='#800000')] def test_parse_256_high(): assert parse('\x1b[38;5;8;48;5;9mword') == [Text('word', bg='#ff0000', fg='#808080')] def test_parse_color_cube(): assert parse('\x1b[38;5;16mword') == [Text('word', fg='#000000')] assert parse('\x1b[38;5;42mword') == [Text('word', fg='#00d787')] def test_parse_grayscale(): assert parse('\x1b[38;5;243mword') == [Text('word', fg='#767676')] def test_parse_reset(): assert parse('foo\x1b[31mbar\x1b[0mbaz') == [Text('foo'), Text('bar', fg='#800000'), Text('baz')] def test_parse_bold(): assert parse('\x1b[1mfoo') == [Text('foo', bold=True)] def test_parse_multiple_sequences(): assert parse('\x1b[1m\x1b[33mfoo') == [Text('foo', bold=True, fg='#808000')] def test_html_plain(): assert Text('foo').to_html() == 'foo' def test_html_all_attributes(): assert Text('foo', bg='#808000', fg='#800000', bold=True).to_html() == \ '<span style="background-color: #808000; color: #800000; font-weight: bold">foo</span>' def test_html_escaped(): assert Text('<title>').to_html() == '<title>'

35.347826

102

0.635916

236

1,626

4.220339

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0.098394

0.13253

0.080321

0.171687

0

0.11213

0.127921

1,626

45

103

36.133333

0.590268

0

0.032258

0.295818

0.070726

0

0.483871

1

0.451613

true

0

0.032258

0

0.483871

0

null

0

null

0

1

0

1

0

3

7c05b8ab7c8a03b6e88574be7e154c820a0c2847

183

py

Python

teamB/player.py

trun/redux

462e8903da41961504b76932404447aafffc04aa

[ "MIT" ]

2

2016-09-06T23:29:23.000Z

2021-06-18T01:14:36.000Z

teamB/player.py

trun/redux

462e8903da41961504b76932404447aafffc04aa

[ "MIT" ]

null

teamB/player.py

trun/redux

462e8903da41961504b76932404447aafffc04aa

[ "MIT" ]

null

class RobotPlayer(object): def __init__(self, rc): self.rc = rc def run(self): while True: print 'DO RE ME' self.rc.yield_execution()

20.333333

37

0.535519

23

183

4.043478

0.695652

0.193548

0

0.360656

183

8

38

22.875

0.794872

0

0.043716

0

null

0

null

0.142857

1

0

null

0

1

0

null

0

1

0

3

9fd3548047186b7d4847cbd7c5f64e3d2248cd7b

626

py

Python

boucanpy/db/factories/dns_record.py

bbhunter/boucanpy

7d2fb105e7b1e90653a511534fb878bb62d02f17

[ "MIT" ]

34

2019-11-16T17:22:15.000Z

2022-02-11T23:12:46.000Z

boucanpy/db/factories/dns_record.py

bbhunter/boucanpy

7d2fb105e7b1e90653a511534fb878bb62d02f17

[ "MIT" ]

1

2021-02-09T09:34:55.000Z

2021-02-10T21:46:20.000Z

boucanpy/db/factories/dns_record.py

bbhunter/boucanpy

7d2fb105e7b1e90653a511534fb878bb62d02f17

[ "MIT" ]

9

2019-11-18T22:18:07.000Z

2021-02-08T13:23:51.000Z

import random import uuid from factory import Faker, LazyFunction, SubFactory from .base import BaseFactory, fake from boucanpy.db.models.dns_record import DnsRecord from boucanpy.dns.types import TYPES from boucanpy.db.factories.dns_server import DnsServerFactory from boucanpy.db.factories.zone import ZoneFactory def random_record(): return f"@ IN A {fake.ipv4()}." def random_sort(): return random.randint(0, 10) class DnsRecordFactory(BaseFactory): class Meta: model = DnsRecord record = LazyFunction(random_record) sort = LazyFunction(random_sort) zone = SubFactory(ZoneFactory)

24.076923

61

0.763578

79

626

5.974684

0.468354

0.101695

0.088983

0.097458

0

0.007605

0.159744

626

25

62

25.04

0.889734

0

0.036741

0

1

0.111111

false

0

0.444444

0.111111

0.944444

0

null

0

null

0

1

0

3

9fd64b2e8a850f076ce19d64b8aa5c0ef08e261d

10,001

py

Python

linkprediction/prediction_methods/prediction/similarity_indices.py

ESM-analytics/Tie-Prediction-Tool

7c060a62c6c47e2d59e7df0870358d6663487817

[ "MIT" ]

1

2021-02-23T06:36:03.000Z

linkprediction/prediction_methods/prediction/similarity_indices.py

ESM-analytics/Tie-Prediction-Tool

7c060a62c6c47e2d59e7df0870358d6663487817

[ "MIT" ]

1

2022-03-02T09:59:27.000Z

linkprediction/prediction_methods/prediction/similarity_indices.py

social-media-analytics-research/tie-prediction-tool

7c060a62c6c47e2d59e7df0870358d6663487817

[ "MIT" ]

null

from math import sqrt from networkx import ( Graph, adamic_adar_index, common_neighbors, jaccard_coefficient, preferential_attachment, resource_allocation_index, community, shortest_path_length) from .predictor import \ LinkPredictor class AdamicAdar(LinkPredictor): def predict(self, node_pairs): predictions = adamic_adar_index(self.graph, node_pairs) return list(predictions) def __repr__(self): return self.__str__() def __str__(self): return 'AdamicAdar' class AdjustedRand(LinkPredictor): def predict(self, node_pairs): predictions = [] for node_pair in node_pairs: uNeighborhood = self.graph.neighbors(node_pair[0]) vNeighborhood = self.graph.neighbors(node_pair[1]) uNeighborhood = list(uNeighborhood) vNeighborhood = list(vNeighborhood) intersectionNeighbors = list(common_neighbors(self.graph, node_pair[0], node_pair[1])) unionNeighbors = set().union(uNeighborhood, vNeighborhood) a = len(intersectionNeighbors) b = len(unionNeighbors) c = len(unionNeighbors) d = len(self.graph) - len(unionNeighbors) denominator = ((a+b) * (b+d)) + ((a+c) * (c+d)) predictions.append((node_pair[0], node_pair[1], 2*(a*d - b*c) / denominator if denominator != 0 else 0)) return predictions def __repr__(self): return self.__str__() def __str__(self): return 'AdjustedRand' class CommonNeighbors(LinkPredictor): def predict(self, node_pairs): predictions = [(node_pair[0], node_pair[1], len(list(common_neighbors(self.graph, node_pair[0], node_pair[1])))) for node_pair in node_pairs] return predictions def __repr__(self): return self.__str__() def __str__(self): return 'CommonNeighbors' class Jaccard(LinkPredictor): def predict(self, node_pairs): predictions = jaccard_coefficient(self.graph, node_pairs) return list(predictions) def __repr__(self): return self.__str__() def __str__(self): return 'Jaccard' class Salton(LinkPredictor): def predict(self, node_pairs): predictions = [] for node_pair in node_pairs: uNeighborhood = self.graph.degree(node_pair[0]) vNeighborhood = self.graph.degree(node_pair[1]) intersection = common_neighbors(self.graph, node_pair[0], node_pair[1]) intersection = len(list(intersection)) denominator = sqrt(uNeighborhood * vNeighborhood) predictions.append((node_pair[0], node_pair[1], intersection / denominator if denominator != 0 else 0)) return predictions def __repr__(self): return self.__str__() def __str__(self): return 'Salton' class PreferentialAttachement(LinkPredictor): def predict(self, node_pairs): predictions = preferential_attachment(self.graph, node_pairs) return list(predictions) def __repr__(self): return self.__str__() def __str__(self): return 'PreferentialAttachement' class ResourceAllocation(LinkPredictor): def predict(self, node_pairs): predictions = resource_allocation_index(self.graph, node_pairs) return list(predictions) def __repr__(self): return self.__str__() def __str__(self): return 'ResourceAllocation' class SameCommunity(LinkPredictor): def __init__(self, graph, iterations: int = 1): super().__init__(graph) if iterations < 1: raise ValueError('Invalid iterations value. It must be greater ' 'than or equal to 1!') self.iterations = iterations def predict(self, node_pairs): communities_generator = community.girvan_newman(self.graph) for i in range(self.iterations): level_communities = next(communities_generator) predictions = [] for node_pair in node_pairs: uCommunityIndex = self._getCommunityIndex(node_pair[0], level_communities) vCommunityIndex = self._getCommunityIndex(node_pair[1], level_communities) predictions.append((node_pair[0], node_pair[1], 1 if (uCommunityIndex == vCommunityIndex and uCommunityIndex != -1) else 0)) return predictions def _getCommunityIndex(self, node, communities): index = -1 for community in communities: if node in community: index = communities.index(community) return index def __repr__(self): return self.__str__() def __str__(self): return 'SameCommunity' class ShortestPath(LinkPredictor): def __init__(self, graph, method='dijkstra'): super().__init__(graph) self.method = method def predict(self, node_pairs): try: predictions = [(node_pair[0], node_pair[1], shortest_path_length(self.graph, node_pair[0], node_pair[1], method=self.method)) for node_pair in node_pairs] except Exception: raise ValueError('Error during shortest path calculation. Probably' ', the method does not exist!') return predictions def __repr__(self): return self.__str__() def __str__(self): return 'ShortestPath' class TotalNeighbors(LinkPredictor): def predict(self, node_pairs): predictions = [] for node_pair in node_pairs: uNeighborhood = self.graph.neighbors(node_pair[0]) vNeighborhood = self.graph.neighbors(node_pair[1]) uNeighborhood = list(uNeighborhood) vNeighborhood = list(vNeighborhood) predictions.append((node_pair[0], node_pair[1], len(set().union(uNeighborhood, vNeighborhood)))) return predictions def __repr__(self): return self.__str__() def __str__(self): return 'TotalNeighbors' class UDegree(LinkPredictor): def predict(self, node_pairs): predictions = [(node_pair[0], node_pair[1], self.graph.degree(node_pair[0])) for node_pair in node_pairs] return predictions def __repr__(self): return self.__str__() def __str__(self): return 'UDegree' class VDegree(LinkPredictor): def predict(self, node_pairs): predictions = [(node_pair[0], node_pair[1], self.graph.degree(node_pair[1])) for node_pair in node_pairs] return predictions def __repr__(self): return self.__str__() def __str__(self): return 'VDegree' class Sorensen(LinkPredictor): def predict(self, node_pairs): predictions = [] for node_pair in node_pairs: uNeighborhood = self.graph.degree(node_pair[0]) vNeighborhood = self.graph.degree(node_pair[1]) intersection = common_neighbors(self.graph, node_pair[0], node_pair[1]) intersection = len(list(intersection)) denominator = uNeighborhood + vNeighborhood predictions.append((node_pair[0], node_pair[1], 2 * intersection / denominator if denominator != 0 else 0)) return predictions def __repr__(self): return self.__str__() def __str__(self): return 'Sorensen' class HubPromoted(LinkPredictor): def predict(self, node_pairs): predictions = [] for node_pair in node_pairs: uNeighborhood = self.graph.degree(node_pair[0]) vNeighborhood = self.graph.degree(node_pair[1]) intersection = common_neighbors(self.graph, node_pair[0], node_pair[1]) intersection = len(list(intersection)) denominator = min(uNeighborhood, vNeighborhood) predictions.append((node_pair[0], node_pair[1], 2 * intersection / denominator if denominator != 0 else 0)) return predictions def __repr__(self): return self.__str__() def __str__(self): return 'HubPromoted' class HubDepressed(LinkPredictor): def predict(self, node_pairs): predictions = [] for node_pair in node_pairs: uNeighborhood = self.graph.degree(node_pair[0]) vNeighborhood = self.graph.degree(node_pair[1]) intersection = common_neighbors(self.graph, node_pair[0], node_pair[1]) intersection = len(list(intersection)) denominator = max(uNeighborhood, vNeighborhood) predictions.append((node_pair[0], node_pair[1], 2 * intersection / denominator if denominator != 0 else 0)) return predictions def __repr__(self): return self.__str__() def __str__(self): return 'HubDepressed' class LeichtHolmeNewman(LinkPredictor): def predict(self, node_pairs): predictions = [] for node_pair in node_pairs: uNeighborhood = self.graph.degree(node_pair[0]) vNeighborhood = self.graph.degree(node_pair[1]) intersection = common_neighbors(self.graph, node_pair[0], node_pair[1]) intersection = len(list(intersection)) denominator = uNeighborhood * vNeighborhood predictions.append((node_pair[0], node_pair[1], 2 * intersection / denominator if denominator != 0 else 0)) return predictions def __repr__(self): return self.__str__() def __str__(self): return 'LeichtHolmeNewman'

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0.610939

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5.60447

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0.045084

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31.449686

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null

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1

0

null

0

1

0

1

0

3

9ff8a2e188e1bf53ec7da9e5509b9d0ac0a1afb9

208

py

Python

geotest.py

stephensheridan/ipregex

99b899f17fee061381ba7be1daab872c64032f41

[ "MIT" ]

null

geotest.py

stephensheridan/ipregex

99b899f17fee061381ba7be1daab872c64032f41

[ "MIT" ]

null

geotest.py

stephensheridan/ipregex

99b899f17fee061381ba7be1daab872c64032f41

[ "MIT" ]

null

import geoip2.database reader = geoip2.database.Reader('GeoLite2-City.mmdb') response = reader.city('128.101.101.101') country = response.country.name city = response.city.name print country + " " + city

18.909091

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208

5.5

0.464286

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0.25974

0

0.081967

0.120192

208

10

54

20.8

0.759563

0

0.163462

0

null

0

0.166667

null

0.166667

1

0

null

0

1

0

null

0

1

0

3

b01f36a8ebedc544de96df576889d20713b69fb3

730

py

Python

fabfile/prodreproc/__init__.py

omeyn/fabric

9ac9f71ca139537c10ecec5d9b0674ce6876498c

[ "Apache-2.0" ]

null

fabfile/prodreproc/__init__.py

omeyn/fabric

9ac9f71ca139537c10ecec5d9b0674ce6876498c

[ "Apache-2.0" ]

null

fabfile/prodreproc/__init__.py

omeyn/fabric

9ac9f71ca139537c10ecec5d9b0674ce6876498c

[ "Apache-2.0" ]

null

from fabric.api import * @task @parallel @roles('prod_reproc') def stop(): sudo('sh -c "cd /home/crap/prod_reproc/bin && /home/crap/prod_reproc/bin/stop-processors.sh"') @task @parallel @roles('prod_reproc') def start_verbatim(): sudo('sh -c "cd /home/crap/prod_reproc/bin && /home/crap/prod_reproc/bin/start-processor-verbatim.sh"') @task @parallel @roles('prod_reproc') def start_interp(): sudo('sh -c "cd /home/crap/prod_reproc/bin && /home/crap/prod_reproc/bin/start-processor-interpreted.sh"') @task @parallel @roles('prod_reproc') def setup_dirs(): sudo('sh -c "chown -R crap.crap /home/crap/prod_reproc"') @task @parallel @roles('prod_reproc') def check_ps(): sudo('sh -c "ps aux | grep jav | grep cli"')

23.548387

108

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730

4.293103

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0.240964

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0.253012

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0.363454

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0.110959

730

31

109

23.548387

0.767334

0

0.576923

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0.115385

0.573187

0.355677

0

1

0.192308

true

0

0.038462

0

0.230769

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null

1

0

1

0

null

0

1

0

3

b02a63a0bf3018db17431c852a9d3c16893dddf5

264

py

Python

Python Class ---- Estrutura de Sequencial/Exercicio 4.py

DouglasCarvalhoPereira/Python-Class---Versionado

03b8f5a8a69553f733056586988f9840040959d7

[ "MIT" ]

1

2021-08-22T13:40:20.000Z

Python Class ---- Estrutura de Sequencial/Exercicio 4.py

DouglasCarvalhoPereira/Python-Class---Versionado

03b8f5a8a69553f733056586988f9840040959d7

[ "MIT" ]

null

Python Class ---- Estrutura de Sequencial/Exercicio 4.py

DouglasCarvalhoPereira/Python-Class---Versionado

03b8f5a8a69553f733056586988f9840040959d7

[ "MIT" ]

null

number_1 = int(input("Digite a nota 1: ")) number_2 = int(input("Digite a nota 1: ")) number_3 = int(input("Digite a nota 1: ")) number_4 = int(input("Digite a nota 1: ")) media = (number_1 + number_2 + number_3 + number_4) / 4 print("A média é {}.".format(media))

44

55

0.655303

48

264

3.4375

0.3125

0.193939

0.339394

0.363636

0.593939

0.472727

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0.058559

0.159091

264

6

56

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0

0.166667

0

null

0

1

0

1

0

null

0

3

b02e4200a9be34c36beca8c85c7a600e38c7b4ac

608

py

Python

tests/test_basic.py

dongsam/dongsam

76f5ba28881d23bfa53b30eec32f7aa885152d3c

[ "Apache-2.0" ]

null

tests/test_basic.py

dongsam/dongsam

76f5ba28881d23bfa53b30eec32f7aa885152d3c

[ "Apache-2.0" ]

null

tests/test_basic.py

dongsam/dongsam

76f5ba28881d23bfa53b30eec32f7aa885152d3c

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- import pytest from dongsam.basic import * from dongsam import basic word_type = { 0: 'eng', 1: 'kor', 2: 'chi' } class TestBasic: def test_get_key_from_value(self): assert get_key_from_value(word_type, 'kor') == 1 def test_get_key_from_value_not_exist(self): assert get_key_from_value(word_type, 'kor2') == None def test_basic_get_key_from_value(self): assert basic.get_key_from_value(word_type, 'kor') == 1 def test_basic_list_get_key_from_value(self): assert basic.struct.get_key_from_value(word_type, 'kor') == 1

22.518519

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608

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0.21164

0.31746

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0.621693

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0.365079

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0

0.016495

0.202303

608

27

69

22.518519

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0.034539

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null

0

1

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null

0

1

0

3

b06d97f4035c09e1d0dcf565fe96acd02e88d0ce

272

py

Python

switch_inputs/__init__.py

Switch-Mexico/switch-inputs

e2afa96c40b516435c350d525119e4594f1b7eca

[ "MIT" ]

1

2020-07-14T21:50:28.000Z

switch_inputs/__init__.py

Switch-Mexico/switch-inputs

e2afa96c40b516435c350d525119e4594f1b7eca

[ "MIT" ]

14

2018-12-14T23:21:09.000Z

2019-05-10T21:42:36.000Z

switch_inputs/__init__.py

Switch-Mexico/switch-inputs

e2afa96c40b516435c350d525119e4594f1b7eca

[ "MIT" ]

1

2020-07-14T21:50:37.000Z

# This file is needed to impport the package import os import sys # Append current folder to path ROOT = os.path.dirname(os.path.realpath(__file__)) sys.path.insert(0, ROOT) from cli import main def cli(): return main(obj={}) if __name__ == '__main__': cli()

16

50

0.702206

43

272

4.162791

0.651163

0.067039

0

0.004505

0.183824

272

16

51

17

0.801802

0.264706

0

0.040609

0

1

0.111111

false

0

0.333333

0.111111

0.555556

0

null

0

null

0

1

0

3

c6b966e26f94398045a39cd17945b313edf6d5d6

925

py

Python

app/migrations/0012_auto_20200610_0323.py

taikhoangg003/django-dashboard-coreui

f0e8acac2428f0eb493b71c7e4010da35b4389f7

[ "MIT" ]

null

app/migrations/0012_auto_20200610_0323.py

taikhoangg003/django-dashboard-coreui

f0e8acac2428f0eb493b71c7e4010da35b4389f7

[ "MIT" ]

null

app/migrations/0012_auto_20200610_0323.py

taikhoangg003/django-dashboard-coreui

f0e8acac2428f0eb493b71c7e4010da35b4389f7

[ "MIT" ]

null

# Generated by Django 3.0.5 on 2020-06-10 03:23 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('app', '0011_auto_20200403_0950'), ] operations = [ migrations.AddField( model_name='padata', name='fiveh_kwh', field=models.FloatField(default=0, verbose_name='500 kWh'), ), migrations.AddField( model_name='padata', name='onek_kwh', field=models.FloatField(default=0, verbose_name='1000 kWh'), ), migrations.AddField( model_name='padata', name='rating', field=models.FloatField(default=0, verbose_name='Rating'), ), migrations.AddField( model_name='padata', name='twok_kwh', field=models.FloatField(default=0, verbose_name='2000 kWh'), ), ]

27.205882

72

0.564324

95

925

5.347368

0.442105

0.141732

0.181102

0.212598

0.635827

0.490157

0.253937

0

0.072327

0.312432

925

33

73

28.030303

0.726415

0.048649

0

0.444444

1

0

0.125285

0.026196

0

1

0

false

0

0.037037

0

0.148148

0

null

0

1

0

1

0

null

0

3

c6e9c90d26f4091c833ab0c68053e853ef8c94a3

397

py

Python

dockerspawner/volumenamingstrategy.py

hydroshare/dockerspawner

8667c92052da5aa89f18125b5aead00e87d0dbe0

[ "BSD-3-Clause" ]

2

2018-04-02T18:35:20.000Z

2019-07-11T23:03:04.000Z

dockerspawner/volumenamingstrategy.py

hydroshare/dockerspawner

8667c92052da5aa89f18125b5aead00e87d0dbe0

[ "BSD-3-Clause" ]

1

2016-12-02T06:20:26.000Z

dockerspawner/volumenamingstrategy.py

ny0011/dockerspawner-edit

f04c2ff7f88473b5766348769b471a6faf23d4a7

[ "BSD-3-Clause" ]

6

2015-02-12T08:44:34.000Z

2021-01-07T00:15:07.000Z

def default_format_volume_name(template, spawner): return template.format(username=spawner.user.name) def escaped_format_volume_name(label_template, spawner): """Use this strategy if your usernames include illegal characters for volume names and you do not use absolute paths in your volume label template. """ return label_template.format(username=spawner.escaped_name)

36.090909

69

0.780856

54

397

5.574074

0.555556

0.129568

0.106312

0.192691

0

0.153652

397

10

70

39.7

0.895833

0.36272

0

1

0.5

false

0

0.25

1

0

null

0

1

0

null

0

1

0

1

0

3

c6ebe1aead06f2bfb65632525a7be6de633db0d0

130

py

Python

conf.py

qqqestion/TypingSpeedTest

9dd926bbb7a233592ee6a44f24fdc01f6789dbca

[ "MIT" ]

null

conf.py

qqqestion/TypingSpeedTest

9dd926bbb7a233592ee6a44f24fdc01f6789dbca

[ "MIT" ]

null

conf.py

qqqestion/TypingSpeedTest

9dd926bbb7a233592ee6a44f24fdc01f6789dbca

[ "MIT" ]

null

import pygame screen_width, screen_height = 800, 600 valid_literal = set([letter for letter in range(pygame.K_a, pygame.K_z)])

18.571429

73

0.761538

22

130

4.272727

0.772727

0.148936

0

0.053571

0.138462

130

6

74

21.666667

0.785714

0

1

0

false

0

0.333333

0

0.333333

0

1

0

null

0

1

0

null

0

1

0

3

c6f2e63c9f68b2c0431784c6482cdec780c83a6d

1,499

py

Python

votepredictapp/models.py

davidhammaker/votepredictbackend

766467f85faf8a1d11da8c798b30904af9268504

[ "MIT" ]

null

votepredictapp/models.py

davidhammaker/votepredictbackend

766467f85faf8a1d11da8c798b30904af9268504

[ "MIT" ]

null

votepredictapp/models.py

davidhammaker/votepredictbackend

766467f85faf8a1d11da8c798b30904af9268504

[ "MIT" ]

null

from django.contrib.auth.models import User from django.db import models from django.utils import timezone class Question(models.Model): content = models.CharField(max_length=128) start_date = models.DateTimeField(default=timezone.now) end_date = models.DateTimeField(default=timezone.now) def __str__(self): return self.content class Answer(models.Model): content = models.CharField(max_length=128) question = models.ForeignKey( Question, related_name="answers", on_delete=models.CASCADE ) def __str__(self): return self.content class Reply(models.Model): question = models.ForeignKey( Question, related_name="replies", on_delete=models.CASCADE ) user = models.ForeignKey(User, related_name="replies", on_delete=models.CASCADE) def __str__(self): return self.question.content class Meta: verbose_name_plural = "replies" class Vote(models.Model): reply = models.OneToOneField(Reply, related_name="vote", on_delete=models.CASCADE) answer = models.ForeignKey(Answer, related_name="votes", on_delete=models.CASCADE) def __str__(self): return self.answer.content class Prediction(models.Model): reply = models.OneToOneField( Reply, related_name="prediction", on_delete=models.CASCADE ) answer = models.ForeignKey( Answer, related_name="predictions", on_delete=models.CASCADE ) def __str__(self): return self.answer.content

26.767857

86

0.711141

179

1,499

5.731844

0.256983

0.075049

0.095517

0.143275

0.740741

0.587719

0.489279

0.302144

0.222222

0

0.00493

0.188125

1,499

55

87

27.254545

0.838127

0

0.333333

0

0.038692

0

1

0.128205

false

0

0.076923

0.128205

0.769231

0

null

0

1

0

null

0

1

0

3

c6fb85204187f87bd4fb2e567a82af73ca5c3cf8

33

py

Python

testing/resources/test_pmatrixprint.py

timgates42/processing.py

78a237922c2a928b83f4ad579dbf8d32c0099890

[ "Apache-2.0" ]

1,224

2015-01-01T22:09:23.000Z

2022-03-29T19:43:56.000Z

testing/resources/test_pmatrixprint.py

timgates42/processing.py

78a237922c2a928b83f4ad579dbf8d32c0099890

[ "Apache-2.0" ]

253

2015-01-14T03:45:51.000Z

2022-02-08T01:18:19.000Z

testing/resources/test_pmatrixprint.py

timgates42/processing.py

78a237922c2a928b83f4ad579dbf8d32c0099890

[ "Apache-2.0" ]

225

2015-01-13T18:38:33.000Z

2022-03-30T20:27:39.000Z

a = PMatrix3D() a.print() exit()

8.25

15

0.606061

5

33

4

0.8

0

0.035714

0.151515

33

3

16

11

0.678571

0

1

0

false

0

0.333333

1

0

null

0

1

0

null

0

3

05a30171ac5b391b88e7545cd59437cf908dae30

1,095

py

Python

tabular/src/autogluon/tabular/models/lr/lr_preprocessing_utils.py

huibinshen/autogluon

18c182c90df89762a916128327a6792b8887c5c6

[ "Apache-2.0" ]

null

tabular/src/autogluon/tabular/models/lr/lr_preprocessing_utils.py

huibinshen/autogluon

18c182c90df89762a916128327a6792b8887c5c6

[ "Apache-2.0" ]

null

tabular/src/autogluon/tabular/models/lr/lr_preprocessing_utils.py

huibinshen/autogluon

18c182c90df89762a916128327a6792b8887c5c6

[ "Apache-2.0" ]

null

from sklearn.base import BaseEstimator, TransformerMixin from autogluon.features.generators import OneHotEncoderFeatureGenerator class OheFeaturesGenerator(BaseEstimator, TransformerMixin): def __init__(self): self._feature_names = [] self._encoder = None def fit(self, X, y=None): self._encoder = OneHotEncoderFeatureGenerator(max_levels=10000, verbosity=0) self._encoder.fit(X) self._feature_names = self._encoder.features_out return self def transform(self, X, y=None): return self._encoder.transform_ohe(X) def get_feature_names(self): return self._feature_names class NlpDataPreprocessor(BaseEstimator, TransformerMixin): def __init__(self, nlp_cols): self.nlp_cols = nlp_cols def fit(self, X, y=None): return self def transform(self, X, y=None): X = X[self.nlp_cols].copy() for c in self.nlp_cols: X[c] = X[c].astype(str).fillna(' ') X = X.apply(' '.join, axis=1).str.replace('[ ]+', ' ', regex=True) return X.values.tolist()

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84

0.661187

134

1,095

5.186567

0.380597

0.079137

0.034532

0.057554

0.345324

0.152518

0.092086

0

0.008264

0.226484

1,095

37

85

29.594595

0.812279

0

0.230769

0

0.006393

0

1

0.269231

false

0

0.076923

0.115385

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0

null

0

null

0

1

0

1

0

3

05adb400d2e5cb2e9c40f33b8685d930aa54399f

6,650

py

Python

tests/pdf/text/test_mark_line_labels.py

alexgorji/musurgia

81d37afbf1ac70348002a93299db228b5ed4a591

[ "MIT" ]

null

tests/pdf/text/test_mark_line_labels.py

alexgorji/musurgia

81d37afbf1ac70348002a93299db228b5ed4a591

[ "MIT" ]

45

2020-02-24T19:37:00.000Z

2021-04-06T16:13:56.000Z

tests/pdf/text/test_mark_line_labels.py

alexgorji/musurgia

81d37afbf1ac70348002a93299db228b5ed4a591

[ "MIT" ]

null

from pathlib import Path from musurgia.pdf.line import HorizontalLineSegment, HorizontalSegmentedLine, VerticalSegmentedLine from musurgia.pdf.pdf import Pdf from musurgia.unittest import TestCase path = Path(__file__) class TestMarkLineLabels(TestCase): def setUp(self) -> None: self.pdf = Pdf() self.ls = HorizontalLineSegment(length=20) def test_draw_above(self): ml = self.ls.start_mark_line ml.add_text_label('first text label above') ml.add_text_label('second text label above') ml.add_text_label('third text label above') self.ls.relative_x = 10 self.ls.relative_y = 20 with self.file_path(path, 'draw_above', 'pdf') as pdf_path: self.pdf.translate_page_margins() self.pdf.draw_ruler('h') self.pdf.draw_ruler('v') self.ls.draw(self.pdf) self.pdf.write(pdf_path) def test_draw_one_above(self): ml = self.ls.start_mark_line ml.length = 20 ml.add_text_label('first text label above') with self.file_path(path, 'draw_one_above', 'pdf') as pdf_path: self.pdf.translate_page_margins() # self.pdf.draw_ruler('h') # self.pdf.draw_ruler('v') self.pdf.translate(30, 30) self.ls.draw(self.pdf) self.pdf.write(pdf_path) def test_draw_below(self): ml = self.ls.start_mark_line ml.add_text_label('first text label below', placement='below') ml.add_text_label('second text label below', placement='below') self.ls.relative_x = 10 self.ls.relative_y = 20 with self.file_path(path, 'draw_below', 'pdf') as pdf_path: self.pdf.translate_page_margins() self.pdf.draw_ruler('h') self.pdf.draw_ruler('v') self.ls.draw(self.pdf) self.pdf.write(pdf_path) def test_draw_left(self): ml = self.ls.start_mark_line ml.add_text_label('first text label left', placement='left') ml.add_text_label('second text label left left left', placement='left') ml.add_text_label('third text label left left left', placement='left') ml.left_text_labels[1].font.size = 8 self.ls.relative_x = 40 self.ls.relative_y = 10 with self.file_path(path, 'draw_left', 'pdf') as pdf_path: self.pdf.translate_page_margins() self.pdf.draw_ruler('h') self.pdf.draw_ruler('v') self.ls.draw(self.pdf) self.pdf.write(pdf_path) def test_different_sizes(self): ml = self.ls.start_mark_line ml.add_text_label('first text label above', font_size=7) ml.add_text_label('second text label above', font_size=8) ml.add_text_label('third text label above', font_size=9) with self.file_path(path, 'different_sizes', 'pdf') as pdf_path: self.pdf.translate_page_margins() self.pdf.draw_ruler('h') self.pdf.draw_ruler('v') self.pdf.translate(10, 20) self.ls.draw(self.pdf) self.pdf.write(pdf_path) def test_font_size_8(self): ml = self.ls.start_mark_line ml.add_text_label('first text label above', font_size=8, bottom_margin=2) ml.add_text_label('second text label above', font_size=8, bottom_margin=4) ml.add_text_label('third text label above', font_size=8) with self.file_path(path, 'font_size_8', 'pdf') as pdf_path: self.pdf.translate_page_margins() self.pdf.draw_ruler('h') self.pdf.draw_ruler('v') self.pdf.translate(10, 20) self.ls.draw(self.pdf) self.pdf.write(pdf_path) def test_below_with_different_mark_line_lengths(self): hsl = HorizontalSegmentedLine(lengths=[10, 15, 20]) hsl.segments[0].start_mark_line.length = 6 hsl.segments[0].start_mark_line.add_label(1, placement='below', font_size=8) hsl.segments[1].start_mark_line.add_label(2, placement='below', font_size=8) hsl.segments[2].start_mark_line.add_label(3, placement='below', font_size=8) with self.file_path(path, 'below_with_different_mark_line_lengths', 'pdf') as pdf_path: self.pdf.translate_page_margins() self.pdf.draw_ruler('h') self.pdf.draw_ruler('v') self.pdf.translate(10, 10) hsl.draw(self.pdf) self.pdf.write(pdf_path) def test_vertical_with_left_text_labels(self): vsl = VerticalSegmentedLine(lengths=[10, 15, 20]) vsl.segments[0].start_mark_line.length = 6 vsl.segments[0].start_mark_line.add_label(1, placement='left', font_size=8) vsl.segments[1].start_mark_line.add_label(2, placement='left', font_size=8) vsl.segments[2].start_mark_line.add_label(3, placement='left', font_size=8) with self.file_path(path, 'vertical_with_left_text_labels', 'pdf') as pdf_path: self.pdf.translate_page_margins() self.pdf.draw_ruler('h') self.pdf.draw_ruler('v') self.pdf.translate(10, 10) vsl.draw(self.pdf) self.pdf.write(pdf_path) def test_draw_above_with_different_bottom_margins(self): ml = self.ls.start_mark_line ml.add_text_label('first text label above', bottom_margin=2) ml.add_text_label('second text label above', bottom_margin=4) ml.add_text_label('third text label above', bottom_margin=15) self.ls.relative_x = 10 self.ls.relative_y = 40 with self.file_path(path, 'draw_above_with_different_bottom_margins', 'pdf') as pdf_path: self.pdf.translate_page_margins() self.pdf.draw_ruler('h') self.pdf.draw_ruler('v') self.ls.draw(self.pdf) self.pdf.write(pdf_path) def test_left_position(self): ml = self.ls.start_mark_line # print(ml.get_relative_position()) # print(ml.get_height()) left_l = ml.add_text_label('left one', placement='left') # print(left_l.get_relative_position()) left_l = ml.add_text_label('left two', placement='left') left_l = ml.add_text_label('left three', placement='left') left_l = ml.add_text_label('left four', placement='left') with self.file_path(path, 'left_position', 'pdf') as pdf_path: self.pdf.translate_page_margins() self.pdf.draw_ruler('h') self.pdf.draw_ruler('v') self.pdf.translate(30, 30) self.ls.draw(self.pdf) self.pdf.write(pdf_path)

42.356688

99

0.634887

962

6,650

4.129938

0.086279

0.100428

0.049836

0.077523

0.835137

0.797131

0.75107

0.673798

0.61037

0.514473

0

0.018759

0.246466

6,650

156

100

42.628205

0.774097

0.021654

0

0.503759

0

0.116769

0.016615

0

1

0.082707

false

0

0.030075

0

0.120301

0

null

0

1

0

null

0

3

05d1cc25626e8ac2b5cde975a6726f9e1813d6a8

22,116

py

Python

Multi_Agent/QMIX&Rule-based/cityflow_env.py

hrushikeshjadhav9/Multi-Commander

08cdd24e282c122b8c9758ff0cb92cb600cbbbba

[ "Apache-2.0" ]

79

2019-07-25T02:40:59.000Z

2022-03-11T02:26:09.000Z

Multi_Agent/QMIX&Rule-based/cityflow_env.py

hrushikeshjadhav9/Multi-Commander

08cdd24e282c122b8c9758ff0cb92cb600cbbbba

[ "Apache-2.0" ]

10

2019-07-26T12:12:34.000Z

2021-03-02T12:08:20.000Z

Multi_Agent/QMIX&Rule-based/cityflow_env.py

hrushikeshjadhav9/Multi-Commander

08cdd24e282c122b8c9758ff0cb92cb600cbbbba

[ "Apache-2.0" ]

23

2019-07-26T12:10:57.000Z

2022-03-10T07:30:39.000Z

import cityflow import pandas as pd import os import json import math import numpy as np import itertools # from sim_setting import sim_setting_control class CityFlowEnv(object): def __init__(self, lane_phase_info, intersection_id='xxx', num_step=1500, thread_num=1, cityflow_config_file='examples/config_1x1.json', replay_data_path='./replay' ): # cityflow_config['rlTrafficLight'] = rl_control # use RL to control the light or not self.eng = cityflow.Engine(cityflow_config_file, thread_num=thread_num) self.num_step = num_step self.state_size = None self.lane_phase_info = lane_phase_info # "intersection_1_1" self.intersection_id = intersection_id self.start_lane = self.lane_phase_info[self.intersection_id]['start_lane'] self.end_lane = self.lane_phase_info[self.intersection_id]['end_lane'] self.phase_list = self.lane_phase_info[self.intersection_id]["phase"] self.phase_startLane_mapping = self.lane_phase_info[self.intersection_id]["phase_startLane_mapping"] self.replay_data_path = replay_data_path self.current_phase = {self.intersection_id:self.phase_list[0]} self.current_phase_time = {self.intersection_id:0} self.yellow_time = 5 self.state_store_i = 0 self.get_state() # set self.state_size self.phase_log = [] def reset(self): self.eng.reset() def step(self, next_phase): if self.current_phase[self.intersection_id] == next_phase: self.current_phase_time[self.intersection_id] += 1 else: self.current_phase[self.intersection_id] = next_phase self.current_phase_time[self.intersection_id] = 1 self.eng.set_tl_phase(self.intersection_id, self.current_phase[self.intersection_id]) # set phase of traffic light self.eng.next_step() self.phase_log.append(self.current_phase[self.intersection_id]) return self.get_state(), self.get_reward() # return next_state and reward def get_state(self): intersection_info = self.intersection_info(self.intersection_id) state_dict = intersection_info['start_lane_vehicle_count'] return_state = [state_dict[key] for key in sorted(state_dict.keys())] + [intersection_info['current_phase'][self.intersection_id]] return self.preprocess_state(return_state) def preprocess_state(self, state): return_state = np.array(state) if self.state_size is None: self.state_size = len(return_state.flatten()) return_state = np.reshape(return_state, [1, self.state_size]) return return_state def intersection_info(self, id_): ''' info of intersection 'id_' ''' state = {} get_lane_vehicle_count = self.eng.get_lane_vehicle_count() get_lane_waiting_vehicle_count = self.eng.get_lane_waiting_vehicle_count() get_lane_vehicles = self.eng.get_lane_vehicles() vehicle_speed = self.eng.get_vehicle_speed() state['start_lane_vehicle_count'] = {lane: get_lane_vehicle_count[lane] for lane in self.start_lane[id_]} state['end_lane_vehicle_count'] = {lane: get_lane_vehicle_count[lane] for lane in self.end_lane[id_]} state['start_lane_waiting_vehicle_count'] = {lane: get_lane_waiting_vehicle_count[lane] for lane in self.start_lane[id_]} state['end_lane_waiting_vehicle_count'] = {lane: get_lane_waiting_vehicle_count[lane] for lane in self.end_lane[id_]} state['start_lane_vehicles'] = {lane: get_lane_vehicles[lane] for lane in self.start_lane[id_]} state['end_lane_vehicles'] = {lane: get_lane_vehicles[lane] for lane in self.end_lane[id_]} state['start_lane_speed'] = {lane: np.sum(list(map(lambda vehicle:vehicle_speed[vehicle], get_lane_vehicles[lane]))) / (get_lane_vehicle_count[lane]+1e-5) for lane in self.start_lane[id_]} # compute start lane mean speed state['end_lane_speed'] = {lane: np.sum(list(map(lambda vehicle:vehicle_speed[vehicle], get_lane_vehicles[lane]))) / (get_lane_vehicle_count[lane]+1e-5) for lane in self.end_lane[id_]} # compute end lane mean speed state['current_phase'] = self.current_phase[id_] state['current_phase_time'] = self.current_phase_time[id_] return state # def get_reward(self): # ''' # max vehicle count of the lanes, *-1 # ''' # lane_vehicle_count = self.eng.get_lane_vehicles() # for key in lane_vehicle_count.keys(): # lane_vehicle_count[key] = len(lane_vehicle_count[key]) # reward = -1 * max(list(lane_vehicle_count.values())) # return reward # def get_reward(self): # ''' # max vehicle count of all start lanes # ''' # start_lane_vehicle_count = {lane: self.eng.get_lane_vehicle_count()[lane] for lane in self.start_lane} # reward = -1 * np.mean(list(start_lane_vehicle_count.values())) # return reward # def get_reward(self): # ''' # max waiting vehicle count of the lanes, *-1 # ''' # lane_waiting_vehicle_count = self.eng.get_lane_waiting_vehicle_count() # lane_waiting_vehicle_count_list = list(lane_waiting_vehicle_count.values()) # reward = -1 * ( sum(lane_waiting_vehicle_count_list)/len(lane_waiting_vehicle_count_list) ) # return reward def get_reward(self): ''' mean speed of start lanes ''' intersection_info = self.intersection_info(self.intersection_id) start_lane_vehicles = intersection_info["start_lane_vehicle_count"] start_lane_vehicles = list(itertools.chain(*start_lane_vehicles)) vehicle_speed = self.eng.get_vehicle_speed() start_lane_vehicles_speed = [vehicle_speed[v] for v in start_lane_vehicles] reward = sum(start_lane_vehicles_speed)/(len(start_lane_vehicles_speed) + 1e-5) * 100 return reward def _get_pressure(self): return [self.dic_lane_waiting_vehicle_count_current_step[lane] for lane in self.list_entering_lanes] + \ [-self.dic_lane_waiting_vehicle_count_current_step[lane] for lane in self.list_exiting_lanes] # def get_reward(self): # # reward function # lane_waiting_vehicle_count = self.eng.get_lane_vehicle_count() # lane_waiting_vehicle_count_list = list(lane_waiting_vehicle_count.values()) # reward = -1 * max(lane_waiting_vehicle_count_list) # return reward def get_score(self): lane_waiting_vehicle_count = self.eng.get_lane_waiting_vehicle_count() reward = -1 * sum(list(lane_waiting_vehicle_count.values())) metric = (1/(1 + math.exp(-1 * reward))) / self.num_step return metric # return 0 def log(self): if not os.path.exists(self.replay_data_path): os.makedirs(self.replay_data_path) # self.eng.print_log(self.config['replay_data_path'] + "/replay_roadnet.json", # self.config['replay_data_path'] + "/replay_flow.json") df = pd.DataFrame({self.intersection_id: self.phase_log[:self.num_step]}) df.to_csv(os.path.join(self.replay_data_path, 'signal_plan.txt'), index=None) class CityFlowEnvM(object): ''' multi inersection cityflow environment ''' def __init__(self, lane_phase_info, intersection_id, num_step=2000, thread_num=1, cityflow_config_file='example/config_1x2.json' ): self.eng = cityflow.Engine(cityflow_config_file, thread_num=thread_num) self.num_step = num_step self.intersection_id = intersection_id # list, [intersection_id, ...] self.state_size = None self.lane_phase_info = lane_phase_info # "intersection_1_1" self.current_phase = {} self.current_phase_time = {} self.start_lane = {} self.end_lane = {} self.phase_list = {} self.phase_startLane_mapping = {} self.intersection_lane_mapping = {} #{id_:[lanes]} for id_ in self.intersection_id: self.start_lane[id_] = self.lane_phase_info[id_]['start_lane'] self.end_lane[id_] = self.lane_phase_info[id_]['end_lane'] self.phase_startLane_mapping[id_] = self.lane_phase_info[id_]["phase_startLane_mapping"] self.phase_list[id_] = self.lane_phase_info[id_]["phase"] self.current_phase[id_] = self.phase_list[id_][0] self.current_phase_time[id_] = 0 self.get_state() # set self.state_size def reset(self): self.eng.reset() def step(self, action): ''' action: {intersection_id: phase, ...} ''' for id_, a in action.items(): if self.current_phase[id_] == a: self.current_phase_time[id_] += 1 else: self.current_phase[id_] = a self.current_phase_time[id_] = 1 self.eng.set_tl_phase(id_, self.current_phase[id_]) # set phase of traffic light self.eng.next_step() return self.get_state(), self.get_reward() def get_state(self): state = {id_: self.get_state_(id_) for id_ in self.intersection_id} return state def get_state_(self, id_): state = self.intersection_info(id_) state_dict = state['start_lane_waiting_vehicle_count'] sorted_keys = sorted(state_dict.keys()) return_state = [state_dict[key] for key in sorted_keys] + [state['current_phase']] return self.preprocess_state(return_state) def intersection_info(self, id_): ''' info of intersection 'id_' ''' state = {} # state['lane_vehicle_count'] = self.eng.get_lane_vehicle_count() # {lane_id: lane_count, ...} # state['start_lane_vehicle_count'] = {lane: self.eng.get_lane_vehicle_count()[lane] for lane in self.start_lane[id_]} # state['lane_waiting_vehicle_count'] = self.eng.get_lane_waiting_vehicle_count() # {lane_id: lane_waiting_count, ...} # state['lane_vehicles'] = self.eng.get_lane_vehicles() # {lane_id: [vehicle1_id, vehicle2_id, ...], ...} # state['vehicle_speed'] = self.eng.get_vehicle_speed() # {vehicle_id: vehicle_speed, ...} # state['vehicle_distance'] = self.eng.get_vehicle_distance() # {vehicle_id: distance, ...} # state['current_time'] = self.eng.get_current_time() get_lane_vehicle_count = self.eng.get_lane_vehicle_count() get_lane_waiting_vehicle_count = self.eng.get_lane_waiting_vehicle_count() get_lane_vehicles = self.eng.get_lane_vehicles() vehicle_speed = self.eng.get_vehicle_speed() state['start_lane_vehicle_count'] = {lane: get_lane_vehicle_count[lane] for lane in self.start_lane[id_]} state['end_lane_vehicle_count'] = {lane: get_lane_vehicle_count[lane] for lane in self.end_lane[id_]} state['start_lane_waiting_vehicle_count'] = {lane: get_lane_waiting_vehicle_count[lane] for lane in self.start_lane[id_]} state['end_lane_waiting_vehicle_count'] = {lane: get_lane_waiting_vehicle_count[lane] for lane in self.end_lane[id_]} state['start_lane_vehicles'] = {lane: get_lane_vehicles[lane] for lane in self.start_lane[id_]} state['end_lane_vehicles'] = {lane: get_lane_vehicles[lane] for lane in self.end_lane[id_]} state['start_lane_speed'] = {lane: np.sum(list(map(lambda vehicle:vehicle_speed[vehicle], get_lane_vehicles[lane]))) / (get_lane_vehicle_count[lane]+1e-5) for lane in self.start_lane[id_]} # compute start lane mean speed state['end_lane_speed'] = {lane: np.sum(list(map(lambda vehicle:vehicle_speed[vehicle], get_lane_vehicles[lane]))) / (get_lane_vehicle_count[lane]+1e-5) for lane in self.end_lane[id_]} # compute end lane mean speed state['current_phase'] = self.current_phase[id_] state['current_phase_time'] = self.current_phase_time[id_] return state def preprocess_state(self, state): return_state = np.array(state) if self.state_size is None: self.state_size = len(return_state.flatten()) return_state = np.reshape(return_state, [1, self.state_size]) return return_state def get_reward(self): reward = {id_: self.get_reward_(id_) for id_ in self.intersection_id} return reward # def get_reward_(self, id_): # ''' # every agent/intersection's reward # ''' # state = self.intersection_info(id_) # start_lane_waiting_vehicle_count = state['start_lane_waiting_vehicle_count'] # reward = -1 * np.sum(list(start_lane_waiting_vehicle_count.values())) # return reward def get_reward_(self, id_): ''' every agent/intersection's reward ''' state = self.intersection_info(id_) start_lane_speed = state['start_lane_speed'] reward = np.mean(list(start_lane_speed.values())) * 100 return reward def get_score(self): score = {id_: self.get_score_(id_) for id_ in self.intersection_id} return score def get_score_(self, id_): state = self.intersection_info(id_) start_lane_waiting_vehicle_count = state['start_lane_waiting_vehicle_count'] end_lane_waiting_vehicle_count = state['end_lane_waiting_vehicle_count'] x = -1 * np.sum(list(start_lane_waiting_vehicle_count.values()) + list(end_lane_waiting_vehicle_count.values())) score = ( 1/(1 + np.exp(-1 * x)) )/self.num_step return score import ray from ray.rllib.env.multi_agent_env import MultiAgentEnv from gym.spaces import Discrete, Box class CityFlowEnvRay(MultiAgentEnv): ''' multi inersection cityflow environment, for the Ray framework ''' observation_space = Box(0.0*np.ones((13,)), 100*np.ones((13,))) action_space = Discrete(8) # num of agents def __init__(self, config): print("init") self.eng = cityflow.Engine(config["cityflow_config_file"], thread_num=config["thread_num"]) # self.eng = config["eng"][0] self.num_step = config["num_step"] self.intersection_id = config["intersection_id"] # list, [intersection_id, ...] self.num_agents = len(self.intersection_id) self.state_size = None self.lane_phase_info = config["lane_phase_info"] # "intersection_1_1" self.congestion_thres = 30 self.current_phase = {} self.current_phase_time = {} self.start_lane = {} self.end_lane = {} self.phase_list = {} self.phase_startLane_mapping = {} self.intersection_lane_mapping = {} #{id_:[lanes]} for id_ in self.intersection_id: self.start_lane[id_] = self.lane_phase_info[id_]['start_lane'] self.end_lane[id_] = self.lane_phase_info[id_]['end_lane'] self.phase_startLane_mapping[id_] = self.lane_phase_info[id_]["phase_startLane_mapping"] self.phase_list[id_] = self.lane_phase_info[id_]["phase"] self.current_phase[id_] = self.phase_list[id_][0] self.current_phase_time[id_] = 0 self.get_state() # set self.state_size self.num_actions = len(self.phase_list[self.intersection_id[0]]) # self.observation_space = Box(np.ones(0.0*(self.state_size,)), 20.0*np.ones((self.state_size))) # self.action_space = Discrete(self.num_actions) # num of agents self.count = 0 self.done = False self.congestion = False self.reset() def reset(self): self.eng.reset() self.done = False self.congestion = False self.count = 0 return {id_:np.zeros((self.state_size,)) for id_ in self.intersection_id} def step(self, action): ''' action: {intersection_id: phase, ...} ''' # print("action:", action) for id_, a in action.items(): if self.current_phase[id_] == self.phase_list[id_][a]: self.current_phase_time[id_] += 1 else: self.current_phase[id_] = self.phase_list[id_][a] self.current_phase_time[id_] = 1 self.eng.set_tl_phase(id_, self.current_phase[id_]) # set phase of traffic light # print("after action:", action) self.eng.next_step() self.count += 1 state = self.get_state() reward = self.get_reward() self.congestion = self.compute_congestion() self.done = {id_:False for id_ in self.intersection_id} self.done['__all__'] = False if self.count >= self.num_step: self.done = {id_:True for id_ in self.intersection_id} self.done['__all__'] = True # for id_ in self.intersection_id: # reward[id_] = 0 else: for id_ in self.intersection_id: if self.congestion[id_]: self.done[id_] = True reward[id_] = -1*50*(self.num_step-self.count) # if congestion, return a large penaty if all(list(self.congestion.values())) is True: self.done['__all__'] = True else: self.done['__all__'] = False return state, reward, self.done, {} def compute_congestion(self): intersection_info = {} for id_ in self.intersection_id: intersection_info[id_] = self.intersection_info(id_) congestion = {id_:False for id_ in self.intersection_id} for id_ in self.intersection_id: if np.max(list(intersection_info[id_]["start_lane_waiting_vehicle_count"].values())) > self.congestion_thres: congestion[id_] = True return congestion def get_state(self): state = {id_: self.get_state_(id_) for id_ in self.intersection_id} return state def get_state_(self, id_): state = self.intersection_info(id_) state_dict = state['start_lane_waiting_vehicle_count'] sorted_keys = sorted(state_dict.keys()) return_state = [state_dict[key] for key in sorted_keys] + [state['current_phase']] return self.preprocess_state(return_state) def intersection_info(self, id_): ''' info of intersection 'id_' ''' state = {} get_lane_vehicle_count = self.eng.get_lane_vehicle_count() get_lane_waiting_vehicle_count = self.eng.get_lane_waiting_vehicle_count() get_lane_vehicles = self.eng.get_lane_vehicles() get_vehicle_speed = self.eng.get_vehicle_speed() # print(self.intersection_id) # print(id_) # print("start lane", self.start_lane) # print("get_lane_vehicle_count key length:", get_lane_vehicle_count) # print("engine:", self.eng) # print("get_lane_waiting_vehicle_count:", get_lane_waiting_vehicle_count) # print("get_lane_vehicles:", get_lane_vehicles) # print("vehicle_speed:", vehicle_speed) state['start_lane_vehicle_count'] = {lane: get_lane_vehicle_count[lane] for lane in self.start_lane[id_]} state['end_lane_vehicle_count'] = {lane: get_lane_vehicle_count[lane] for lane in self.end_lane[id_]} # state['start_lane_vehicle_count'] = {} # state['end_lane_vehicle_count'] = {} state['start_lane_waiting_vehicle_count'] = {lane: get_lane_waiting_vehicle_count[lane] for lane in self.start_lane[id_]} state['end_lane_waiting_vehicle_count'] = {lane: get_lane_waiting_vehicle_count[lane] for lane in self.end_lane[id_]} state['start_lane_vehicles'] = {lane: get_lane_vehicles[lane] for lane in self.start_lane[id_]} state['end_lane_vehicles'] = {lane: get_lane_vehicles[lane] for lane in self.end_lane[id_]} state['start_lane_speed'] = {lane: np.sum(list(map(lambda v:get_vehicle_speed[v], get_lane_vehicles[lane])))/(len(get_lane_vehicles[lane])+1e-5) for lane in self.start_lane[id_]} # compute start lane mean speed state['end_lane_speed'] = {lane: np.sum(list(map(lambda v:get_vehicle_speed[v], get_lane_vehicles[lane])))/(len(get_lane_vehicles[lane])+1e-5) for lane in self.end_lane[id_]} # compute end lane mean speed state['current_phase'] = self.current_phase[id_] state['current_phase_time'] = self.current_phase_time[id_] return state def preprocess_state(self, state): return_state = np.array(state) if self.state_size is None: self.state_size = len(return_state.flatten()) return_state = np.reshape(np.array(return_state), [1, self.state_size]).flatten() return return_state def get_reward(self): reward = {id_: self.get_reward_(id_) for id_ in self.intersection_id} mean_global_sum = np.mean(list(reward.values())) return reward # reward = {id_:mean_global_sum for id_ in self.intersection_id} # return reward def get_reward_(self, id_): ''' every agent/intersection's reward ''' state = self.intersection_info(id_) temp = state['start_lane_waiting_vehicle_count'] reward = -1 * np.mean(list(temp.values())) return reward def get_score(self): score = {id_: self.get_score_(id_) for id_ in self.intersection_id} return score def get_score_(self, id_): state = self.intersection_info(id_) start_lane_waiting_vehicle_count = state['start_lane_waiting_vehicle_count'] end_lane_waiting_vehicle_count = state['end_lane_waiting_vehicle_count'] x = -1 * np.sum(list(start_lane_waiting_vehicle_count.values()) + list(end_lane_waiting_vehicle_count.values())) score = ( 1/(1 + np.exp(-1 * x)) )/self.num_step return score

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0.032051

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null

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05d82e700b8327a8c2adb66928a6d4fbc7eac1c3

190

py

Python

build/externals/build_python-geoip/examples/domain.py

adityaddy/GSoC_CernVM-FS

cd4dd6937eb4b862f1128a236d394e4734db0b75

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

20

2015-05-08T02:43:27.000Z

2018-03-08T11:08:17.000Z

build/externals/build_python-geoip/examples/domain.py

adityaddy/GSoC_CernVM-FS

cd4dd6937eb4b862f1128a236d394e4734db0b75

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

5

2015-05-06T23:43:04.000Z

2015-08-13T19:14:37.000Z

build/externals/build_python-geoip/examples/domain.py

adityaddy/GSoC_CernVM-FS

cd4dd6937eb4b862f1128a236d394e4734db0b75

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

3

2015-07-07T18:44:07.000Z

2018-10-26T19:36:50.000Z

#!/usr/bin/python from __future__ import print_function import GeoIP gi = GeoIP.open("/usr/local/share/GeoIP/GeoIPDomain.dat", GeoIP.GEOIP_STANDARD) print(gi.org_by_addr("24.24.24.24"))

19

79

0.763158

31

190

4.419355

0.645161

0.087591

0

0.045977

0.084211

190

9

80

21.111111

0.741379

0.084211

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1

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null

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1

0

1

0

3

05db6fc04a2b8ec0e1762e4ba10feede6d5affcf

559

py

Python

lambdata_davidvollendroff/df_utils.py

jamesluttringer2019/lambdata

06917aeb761f774b8ce23d6639e32d0511d9d78d

[ "MIT" ]

null

lambdata_davidvollendroff/df_utils.py

jamesluttringer2019/lambdata

06917aeb761f774b8ce23d6639e32d0511d9d78d

[ "MIT" ]

null

lambdata_davidvollendroff/df_utils.py

jamesluttringer2019/lambdata

06917aeb761f774b8ce23d6639e32d0511d9d78d

[ "MIT" ]

null

""" Utility functions for working with DataFrames """ import pandas import numpy as np TEST_DF = pandas.DataFrame([1,2,3]) class O: """ A square shaped block for my PyTetris game. """ def __init__(self): self.type = "O" self.color = (255, 255, 0) mold = np.zeros([24, 10]) # framework for falling piece mold[1, 4:6] = 1 # placing 1s where the piece begins mold[2, 4:6] = 1 self.position = mold self.position = [self.position, self.position, self.position, self.position]

23.291667

84

0.593918

78

559

4.192308

0.615385

0.220183

0.195719

0.293578

0.183486

0

0.057644

0.286225

559

23

85

24.304348

0.761905

0.271914

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0.333333

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null

1

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null

0

3

05eadfeb5ed4fb8d547a68bfc985b80bd5d3e0d0

171

py

Python

holobot/sdk/exceptions/authorization_error.py

rexor12/holobot

89b7b416403d13ccfeee117ef942426b08d3651d

[ "MIT" ]

1

2021-05-24T00:17:46.000Z

holobot/sdk/exceptions/authorization_error.py

rexor12/holobot

89b7b416403d13ccfeee117ef942426b08d3651d

[ "MIT" ]

41

2021-03-24T22:50:09.000Z

2021-12-17T12:15:13.000Z

holobot/sdk/exceptions/authorization_error.py

rexor12/holobot

89b7b416403d13ccfeee117ef942426b08d3651d

[ "MIT" ]

null

class AuthorizationError(Exception): def __init__(self, user_id: int): super().__init__(f"Unauthorized access from the user with the identifier '{user_id}'.")

42.75

95

0.725146

22

171

5.181818

0.772727

0.105263

0

0.157895

171

3

96

57

0.791667

0

0.385965

0

1

0.333333

false

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

3

05fce7dd26ecfad36483a445613370d3a4e7bdd9

293

py

Python

exercises from lesson/5.py

mo1cy/goiteens-python3-rudiy

9b46855fef17397207db1cbdbbd981ae57d2f316

[ "MIT" ]

null

exercises from lesson/5.py

mo1cy/goiteens-python3-rudiy

9b46855fef17397207db1cbdbbd981ae57d2f316

[ "MIT" ]

null

exercises from lesson/5.py

mo1cy/goiteens-python3-rudiy

9b46855fef17397207db1cbdbbd981ae57d2f316

[ "MIT" ]

null

first_day = 500 #accounts deleted pair_user = 50 #hrn odd_user = 40 #hrn profit = 500 #hrn pair_users = 250 * pair_user #hrn odd_users = 250 * odd_user #hrn total_loss_of_deleted_users = pair_users + odd_users total_loss = profit - total_loss_of_deleted_users print("total loss:" ,total_loss)

29.3

52

0.774744

50

293

4.16

0.36

0.216346

0.105769

0.173077

0.221154

0

0.063745

0.143345

293

9

53

32.555556

0.76494

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0.111111

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null

1

0

1

0

1

0

null

0

3

af2928d0ba54eb234e44c8bfdfdf9ed47ab69b7c

1,718

py

Python

mailchimp3/entities/interest.py

klaviyo/python-mailchimp

b1f5ac2d56567dc4f9619082c597c29229a0c28f

[ "MIT" ]

null

mailchimp3/entities/interest.py

klaviyo/python-mailchimp

b1f5ac2d56567dc4f9619082c597c29229a0c28f

[ "MIT" ]

null

mailchimp3/entities/interest.py

klaviyo/python-mailchimp

b1f5ac2d56567dc4f9619082c597c29229a0c28f

[ "MIT" ]

1

2020-08-07T13:35:14.000Z

from __future__ import unicode_literals from ..baseapi import BaseApi class Interest(BaseApi): def __init__(self, *args, **kwargs): super(Interest, self).__init__(*args, **kwargs) self.endpoint = 'lists' def all(self, list_id, category_id, **kwargs): """ returns the interests for the category. """ return self._mc_client._get( url=self._build_path(list_id, 'interest-categories', category_id, 'interests'), **kwargs ) def create(self, list_id, category_id, data): """ creates a new interest, or Group Name. """ return self._mc_client._post( url=self._build_path(list_id, 'interest-categories', category_id, 'interests'), data=data) def get(self, list_id, category_id, interest_id): """ returns information about a specific interest category, or Group Title. """ return self._mc_client._get( url=self._build_path(list_id, 'interest-categories', category_id, 'interests', interest_id)) def update(self, list_id, category_id, interest_id, data): """ returns information about a specific interest category, or Group Title. """ return self._mc_client._patch( url=self._build_path(list_id, 'interest-categories', category_id, 'interests', interest_id), data=data) def delete(self, list_id, category_id, interest_id): """ returns information about a specific interest category, or Group Title. """ return self._mc_client._delete( url=self._build_path(list_id, 'interest-categories', category_id, 'interests', interest_id))

35.791667

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204

1,718

5.039216

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0.048638

0.087549

0.69358

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0.625486

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0.254366

1,718

47

105

36.553191

0.802498

0.171711

0

0.166667

0

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0.25

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0.083333

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0.583333

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null

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1

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null

0

1

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1

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3

af3011bca01347cc0d9aeccbd73219cef2f4d6b6

67,139

py

Python

pysnmp-with-texts/DOCS-SUBMGT3-MIB.py

agustinhenze/mibs.snmplabs.com

1fc5c07860542b89212f4c8ab807057d9a9206c7

[ "Apache-2.0" ]

8

2019-05-09T17:04:00.000Z

2021-06-09T06:50:51.000Z

pysnmp-with-texts/DOCS-SUBMGT3-MIB.py

agustinhenze/mibs.snmplabs.com

1fc5c07860542b89212f4c8ab807057d9a9206c7

[ "Apache-2.0" ]

4

2019-05-31T16:42:59.000Z

2020-01-31T21:57:17.000Z

pysnmp-with-texts/DOCS-SUBMGT3-MIB.py

agustinhenze/mibs.snmplabs.com

1fc5c07860542b89212f4c8ab807057d9a9206c7

[ "Apache-2.0" ]

10

2019-04-30T05:51:36.000Z

2022-02-16T03:33:41.000Z

# # PySNMP MIB module DOCS-SUBMGT3-MIB (http://snmplabs.com/pysmi) # ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/DOCS-SUBMGT3-MIB # Produced by pysmi-0.3.4 at Wed May 1 11:45:55 2019 # On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4 # Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15) # ObjectIdentifier, Integer, OctetString = mibBuilder.importSymbols("ASN1", "ObjectIdentifier", "Integer", "OctetString") NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues") ValueSizeConstraint, ValueRangeConstraint, ConstraintsUnion, ConstraintsIntersection, SingleValueConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "ValueSizeConstraint", "ValueRangeConstraint", "ConstraintsUnion", "ConstraintsIntersection", "SingleValueConstraint") DocsL2vpnIfList, clabProjDocsis = mibBuilder.importSymbols("CLAB-DEF-MIB", "DocsL2vpnIfList", "clabProjDocsis") docsIf3CmtsCmRegStatusId, docsIf3CmtsCmRegStatusEntry = mibBuilder.importSymbols("DOCS-IF3-MIB", "docsIf3CmtsCmRegStatusId", "docsIf3CmtsCmRegStatusEntry") InetPortNumber, InetAddressPrefixLength, InetAddressType, InetAddress = mibBuilder.importSymbols("INET-ADDRESS-MIB", "InetPortNumber", "InetAddressPrefixLength", "InetAddressType", "InetAddress") SnmpTagList, = mibBuilder.importSymbols("SNMP-TARGET-MIB", "SnmpTagList") ObjectGroup, NotificationGroup, ModuleCompliance = mibBuilder.importSymbols("SNMPv2-CONF", "ObjectGroup", "NotificationGroup", "ModuleCompliance") Counter32, ObjectIdentity, Gauge32, NotificationType, Counter64, Bits, MibScalar, MibTable, MibTableRow, MibTableColumn, ModuleIdentity, MibIdentifier, TimeTicks, Unsigned32, iso, Integer32, IpAddress = mibBuilder.importSymbols("SNMPv2-SMI", "Counter32", "ObjectIdentity", "Gauge32", "NotificationType", "Counter64", "Bits", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "ModuleIdentity", "MibIdentifier", "TimeTicks", "Unsigned32", "iso", "Integer32", "IpAddress") MacAddress, TimeStamp, TextualConvention, DisplayString, TruthValue, RowStatus = mibBuilder.importSymbols("SNMPv2-TC", "MacAddress", "TimeStamp", "TextualConvention", "DisplayString", "TruthValue", "RowStatus") docsSubmgt3Mib = ModuleIdentity((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10)) docsSubmgt3Mib.setRevisions(('2015-06-03 00:00', '2014-04-03 00:00', '2011-06-23 00:00', '2010-06-11 00:00', '2009-01-21 00:00', '2007-05-18 00:00', '2006-12-07 17:00',)) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): if mibBuilder.loadTexts: docsSubmgt3Mib.setRevisionsDescriptions(('Revised Version includes ECN OSSIv3.0-N-15.1311-2', 'Revised Version includes ECNs OSSIv3.0-N-13.1125-2 and published as I23', 'Revised Version includes ECNs OSSIv3.0-N-11.0996-1 and published as I15', 'Revised Version includes ECNs OSSIv3.0-N-10.0906-2 OSSIv3.0-N-10.0921-4 and published as I12', 'Revised Version includes ECNs OSSIv3.0-N-08.0651-3 OSSIv3.0-N-08.0700-4 and published as I08', 'Revised Version includes ECNs OSSIv3.0-N-07.0445-3 OSSIv3.0-N-07.0444-3 OSSIv3.0-N-07.0441-4 and published as I03', 'Initial version, published as part of the CableLabs OSSIv3.0 specification CM-SP-OSSIv3.0-I01-061207 Copyright 1999-2009 Cable Television Laboratories, Inc. All rights reserved.',)) if mibBuilder.loadTexts: docsSubmgt3Mib.setLastUpdated('201506030000Z') if mibBuilder.loadTexts: docsSubmgt3Mib.setOrganization('Cable Television Laboratories, Inc.') if mibBuilder.loadTexts: docsSubmgt3Mib.setContactInfo(' Postal: Cable Television Laboratories, Inc. 858 Coal Creek Circle Louisville, Colorado 80027-9750 U.S.A. Phone: +1 303-661-9100 Fax: +1 303-661-9199 E-mail: mibs@cablelabs.com') if mibBuilder.loadTexts: docsSubmgt3Mib.setDescription('This MIB module contains the management objects for the CMTS control of the IP4 and IPv6 traffic with origin and destination to CMs and/or CPEs behind the CM.') docsSubmgt3MibObjects = MibIdentifier((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1)) docsSubmgt3Base = MibIdentifier((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 1)) docsSubmgt3BaseCpeMaxIpv4Def = MibScalar((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 1, 1), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 1023)).clone(16)).setMaxAccess("readwrite") if mibBuilder.loadTexts: docsSubmgt3BaseCpeMaxIpv4Def.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3BaseCpeMaxIpv4Def.setDescription("This attribute represents the maximum number of IPv4 Addresses allowed for the CM's CPEs if not signaled in the registration process.") docsSubmgt3BaseCpeMaxIpv6AddressesDef = MibScalar((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 1, 2), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 1023)).clone(16)).setMaxAccess("readwrite") if mibBuilder.loadTexts: docsSubmgt3BaseCpeMaxIpv6AddressesDef.setStatus('deprecated') if mibBuilder.loadTexts: docsSubmgt3BaseCpeMaxIpv6AddressesDef.setDescription("This attribute represents the maximum number of IPv6 prefixes or addresses allowed for the CM's CPEs if not signaled in the registration process. All IPv6 addresses, including Link-Local and any address with a scope greater than 1 are counted against the docsSubmgt3BaseCpeMaxIpv6AddressesDef.") docsSubmgt3BaseCpeMaxIpv6PrefixesDef = MibScalar((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 1, 15), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 1023)).clone(3)).setMaxAccess("readwrite") if mibBuilder.loadTexts: docsSubmgt3BaseCpeMaxIpv6PrefixesDef.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3BaseCpeMaxIpv6PrefixesDef.setDescription("This attribute represents the maximum number of IPv6 IA_PDs (delegated prefixes) allowed for the CM's CPEs if not signaled during the registration process. IPv6 IA_PDs are counted against the CpeMaxIpv6PrefixesDef. This contrasts with the CpeMaxIPv4AddressesDef addresses, rather than IPv4 subnets, allowed by default per CM. Because this attribute only counts IA_PDs against the default, IA_NA addresses and Link-Local addresses are not counted against this default limit.") docsSubmgt3BaseCpeActiveDef = MibScalar((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 1, 3), TruthValue().clone('false')).setMaxAccess("readwrite") if mibBuilder.loadTexts: docsSubmgt3BaseCpeActiveDef.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3BaseCpeActiveDef.setDescription('This attribute represents the default value for enabling Subscriber Management filters and controls in the CM if the parameter is not signaled in the DOCSIS Registration process.') docsSubmgt3BaseCpeLearnableDef = MibScalar((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 1, 4), TruthValue().clone('true')).setMaxAccess("readwrite") if mibBuilder.loadTexts: docsSubmgt3BaseCpeLearnableDef.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3BaseCpeLearnableDef.setDescription('This attribute represents the default value for enabling the CPE learning process for the CM if the parameter is not signaled in the DOCSIS Registration process.') docsSubmgt3BaseSubFilterDownDef = MibScalar((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 1, 5), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 1024))).setMaxAccess("readwrite") if mibBuilder.loadTexts: docsSubmgt3BaseSubFilterDownDef.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3BaseSubFilterDownDef.setDescription('This attribute represents the default value for the subscriber (CPE) downstream filter group for the CM if the parameter is not signaled in the DOCSIS Registration process.') docsSubmgt3BaseSubFilterUpDef = MibScalar((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 1, 6), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 1024))).setMaxAccess("readwrite") if mibBuilder.loadTexts: docsSubmgt3BaseSubFilterUpDef.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3BaseSubFilterUpDef.setDescription('This attribute represents the default value for the subscriber (CPE) upstream filter group for the CM if the parameter is not signaled in the DOCSIS Registration process.') docsSubmgt3BaseCmFilterDownDef = MibScalar((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 1, 7), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 1024))).setMaxAccess("readwrite") if mibBuilder.loadTexts: docsSubmgt3BaseCmFilterDownDef.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3BaseCmFilterDownDef.setDescription('This attribute represents the default value for the CM stack downstream filter group applying to the CM if the parameter is not signaled in the DOCSIS Registration process.') docsSubmgt3BaseCmFilterUpDef = MibScalar((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 1, 8), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 1024))).setMaxAccess("readwrite") if mibBuilder.loadTexts: docsSubmgt3BaseCmFilterUpDef.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3BaseCmFilterUpDef.setDescription('This attribute represents the default value for the CM stack upstream filter group applying to the CM if the parameter is not signaled in the DOCSIS Registration process.') docsSubmgt3BasePsFilterDownDef = MibScalar((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 1, 9), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 1024))).setMaxAccess("readwrite") if mibBuilder.loadTexts: docsSubmgt3BasePsFilterDownDef.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3BasePsFilterDownDef.setDescription('This attribute represents the default value for the PS or eRouter downstream filter group for the CM if the parameter is not signaled in the DOCSIS Registration process.') docsSubmgt3BasePsFilterUpDef = MibScalar((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 1, 10), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 1024))).setMaxAccess("readwrite") if mibBuilder.loadTexts: docsSubmgt3BasePsFilterUpDef.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3BasePsFilterUpDef.setDescription('This attribute represents the default value for the PS or eRouter upstream filter group for the CM if the parameter is not signaled in the DOCSIS Registration process.') docsSubmgt3BaseMtaFilterDownDef = MibScalar((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 1, 11), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 1024))).setMaxAccess("readwrite") if mibBuilder.loadTexts: docsSubmgt3BaseMtaFilterDownDef.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3BaseMtaFilterDownDef.setDescription('This attribute represents the default value for the MTA, DVA, SG, or TEA downstream filter group for the CM if the parameter is not signaled in the DOCSIS Registration process.') docsSubmgt3BaseMtaFilterUpDef = MibScalar((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 1, 12), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 1024))).setMaxAccess("readwrite") if mibBuilder.loadTexts: docsSubmgt3BaseMtaFilterUpDef.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3BaseMtaFilterUpDef.setDescription('This attribute represents the default value for the MTA, DVA, SG, or TEA upstream filter group for the CM if the parameter is not signaled in the DOCSIS Registration process.') docsSubmgt3BaseStbFilterDownDef = MibScalar((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 1, 13), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 1024))).setMaxAccess("readwrite") if mibBuilder.loadTexts: docsSubmgt3BaseStbFilterDownDef.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3BaseStbFilterDownDef.setDescription('This attribute represents the default value for the STB or CableCARD downstream filter group for the CM if the parameter is not signaled in the DOCSIS Registration process.') docsSubmgt3BaseStbFilterUpDef = MibScalar((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 1, 14), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 1024))).setMaxAccess("readwrite") if mibBuilder.loadTexts: docsSubmgt3BaseStbFilterUpDef.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3BaseStbFilterUpDef.setDescription('This attribute represents the default value for the STB or CableCARD upstream filter group for the CM if the parameter is not signaled in the DOCSIS Registration process.') docsSubmgt3CpeCtrlTable = MibTable((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 2), ) if mibBuilder.loadTexts: docsSubmgt3CpeCtrlTable.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3CpeCtrlTable.setDescription('This object maintains per-CM traffic policies enforced by the CMTS. The CMTS acquires the CM traffic policies through the CM registration process, or in the absence of some or all of those parameters, from the Base object. The CM information and controls are meaningful and used by the CMTS, but only after the CM is operational.') docsSubmgt3CpeCtrlEntry = MibTableRow((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 2, 1), ) docsIf3CmtsCmRegStatusEntry.registerAugmentions(("DOCS-SUBMGT3-MIB", "docsSubmgt3CpeCtrlEntry")) docsSubmgt3CpeCtrlEntry.setIndexNames(*docsIf3CmtsCmRegStatusEntry.getIndexNames()) if mibBuilder.loadTexts: docsSubmgt3CpeCtrlEntry.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3CpeCtrlEntry.setDescription('The conceptual row of docsSubmgt3CpeCtrlTable. The CMTS does not persist the instances of the CpeCtrl object across reinitializations.') docsSubmgt3CpeCtrlMaxCpeIpv4 = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 2, 1, 1), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 1023))).setMaxAccess("readwrite") if mibBuilder.loadTexts: docsSubmgt3CpeCtrlMaxCpeIpv4.setReference('DOCSIS 3.0 MAC and Upper Layer Protocols Interface Specification CM-SP-MULPIv3.0-I26-150305, Subscriber Management TLVs section in the Common Radio Frequency Interface Encodings Annex.') if mibBuilder.loadTexts: docsSubmgt3CpeCtrlMaxCpeIpv4.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3CpeCtrlMaxCpeIpv4.setDescription("This attribute represents the number of simultaneous IP v4 addresses permitted for CPE connected to the CM. When the MaxCpeIpv4 attribute is set to zero (0), all Ipv4 CPE traffic from the CM is dropped. The CMTS configures this attribute with whichever of the 'Subscriber Management CPE IPv4 List' or 'Subscriber Management Control-Max_CpeIPv4' signaled encodings is greater, or in the absence of all of those provisioning parameters, with the CpeMaxIp v4Def from the Base object. This limit applies to learned and DOCSIS-provisioned entries but not to entries added through some administrative process at the CMTS. Note that this attribute is only meaningful when the Active attribute of the CM is set to 'true'.") docsSubmgt3CpeCtrlMaxCpeIpv6Addresses = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 2, 1, 2), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 1023))).setMaxAccess("readwrite") if mibBuilder.loadTexts: docsSubmgt3CpeCtrlMaxCpeIpv6Addresses.setReference('DOCSIS 3.0 MAC and Upper Layer Protocols Interface Specification CM-SP-MULPIv3.0-I26-150305, Subscriber Management TLVs section in the Common Radio Frequency Interface Encodings Annex.') if mibBuilder.loadTexts: docsSubmgt3CpeCtrlMaxCpeIpv6Addresses.setStatus('deprecated') if mibBuilder.loadTexts: docsSubmgt3CpeCtrlMaxCpeIpv6Addresses.setDescription("This attribute represents the maximum number of simultaneous IPv6 prefixes and addresses that are permitted for CPEs connected to the CM. When the MaxCpeIpv6Prefix is set to zero (0), all IPv6 CPE traffic from the CM is dropped. The CMTS configures this attribute with whichever of the ('Subscriber Management CPE IPv6 List (TLV 67)' plus 'Subscriber Management CPE IPv6 Prefix List (TLV 61)') or ('Subscriber Management Control Max CPE IPv6 Addresses (TLV 63)') signaled encodings is greater, or in the absence of all of those provisioning parameters, with the MaxIpv6AddressDef from the Base object. This limit applies to learned and DOCSIS-provisioned entries but not to entries added through some administrative process at the CMTS. Note that this attribute is only meaningful when the Active attribute of the CM is set to 'true'. All IPv6 addresses, including Link-Local and any address with a scope greater than 1 are counted against the docsSubmgt3CpeCtrlMaxCpeIpv6Addresses.") docsSubmgt3CpeCtrlMaxCpeIpv6Prefixes = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 2, 1, 7), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 1023))).setMaxAccess("readwrite") if mibBuilder.loadTexts: docsSubmgt3CpeCtrlMaxCpeIpv6Prefixes.setReference('DOCSIS 3.0 MAC and Upper Layer Protocols Interface Specification CM-SP-MULPIv3.0-I04-070518, Subscriber Management TLVs section in the Common Radio Frequency Interface Encodings Annex.') if mibBuilder.loadTexts: docsSubmgt3CpeCtrlMaxCpeIpv6Prefixes.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3CpeCtrlMaxCpeIpv6Prefixes.setDescription("This attribute represents the maximum number of simultaneous IPv6 IA_PDs (delegated prefixes) that are permitted for CPEs connected to the CM.When the MaxCpeIpv6Prefixes is set to zero (0), all IPv6 CPE traffic from the CM is dropped. The CMTS configures this attribute with whichever of the ('Subscriber Management CPE IPv6 List (TLV 67)' plus 'Subscriber Management CPE IPv6 Prefix List (TLV 61) ') or ('Subscriber Management Control Max CPE IPv6 Addresses (TLV 63)') signaled encodings is greater, or in the absence of all of those provisioning parameters, with the MaxIpv6PrefixesDef from the Base object. This limit applies to learned and DOCSIS-provisioned entries but not to entries added through some administrative process at the CMTS. Note that this attribute is only meaningful when the Active attribute of the CM is set to 'true'. IPv6 IA_PDs s are counted against the CpeCtrlMaxCpeIpv6Prefixes in order to limit the number of simultaneous IA_PDs permitted for the CMs CPEs.") docsSubmgt3CpeCtrlActive = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 2, 1, 3), TruthValue()).setMaxAccess("readwrite") if mibBuilder.loadTexts: docsSubmgt3CpeCtrlActive.setReference('DOCSIS 3.0 MAC and Upper Layer Protocols Interface Specification CM-SP-MULPIv3.0-I26-150305, Subscriber Management Control section in the Common Radio Frequency Interface Encodings Annex.') if mibBuilder.loadTexts: docsSubmgt3CpeCtrlActive.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3CpeCtrlActive.setDescription("This attribute controls the application of subscriber management to this CM. If this is set to 'true', CMTS-based CPE control is active, and all the actions required by the various filter policies and controls apply at the CMTS. If this is set to false, no subscriber management filtering is done at the CMTS (but other filters may apply). If not set through DOCSIS provisioning, this object defaults to the value of the Active attribute of the Base object.") docsSubmgt3CpeCtrlLearnable = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 2, 1, 4), TruthValue()).setMaxAccess("readwrite") if mibBuilder.loadTexts: docsSubmgt3CpeCtrlLearnable.setReference('DOCSIS 3.0 MAC and Upper Layer Protocols Interface Specification CM-SP-MULPIv3.0-I26-150305, Subscriber Management Control section in the Common Radio Frequency Interface Encodings Annex.') if mibBuilder.loadTexts: docsSubmgt3CpeCtrlLearnable.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3CpeCtrlLearnable.setDescription("This attribute controls whether the CMTS may learn (and pass traffic for) CPE IP addresses associated with a CM. If this is set to 'true', the CMTS may learn up to the CM MaxCpeIp value less any DOCSIS-provisioned entries related to this CM. The nature of the learning mechanism is not specified here. If not set through DOCSIS provisioning, this object defaults to the value of the CpeLearnableDef attribute from the Base object. Note that this attribute is only meaningful if docsSubMgtCpeControlActive is 'true' to enforce a limit in the number of CPEs learned. CPE learning is always performed for the CMTS for security reasons.") docsSubmgt3CpeCtrlReset = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 2, 1, 5), TruthValue()).setMaxAccess("readwrite") if mibBuilder.loadTexts: docsSubmgt3CpeCtrlReset.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3CpeCtrlReset.setDescription("If set to 'true', this attribute commands the CMTS to delete the instances denoted as 'learned' addresses in the CpeIp object. This attribute always returns false on read.") docsSubmgt3CpeCtrlLastReset = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 2, 1, 6), TimeStamp()).setMaxAccess("readwrite") if mibBuilder.loadTexts: docsSubmgt3CpeCtrlLastReset.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3CpeCtrlLastReset.setDescription("This attribute represents the system Up Time of the last set to 'true' of the Reset attribute of this instance. Zero if never reset.") docsSubmgt3CpeIpTable = MibTable((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 3), ) if mibBuilder.loadTexts: docsSubmgt3CpeIpTable.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3CpeIpTable.setDescription("This object defines the list of IP Addresses behind the CM known by the CMTS. If the Active attribute of the CpeCtrl object associated with a CM is set to 'true' and the CMTS receives an IP packet from a CM that contains a source IP address that does not match one of the CPE IP addresses associated with this CM, one of two things occurs. If the number of CPE IPs is less than the MaxCpeIp of the CpeCtrl object for that CM, the source IP address is added to this object and the packet is forwarded; otherwise, the packet is dropped.") docsSubmgt3CpeIpEntry = MibTableRow((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 3, 1), ).setIndexNames((0, "DOCS-IF3-MIB", "docsIf3CmtsCmRegStatusId"), (0, "DOCS-SUBMGT3-MIB", "docsSubmgt3CpeIpId")) if mibBuilder.loadTexts: docsSubmgt3CpeIpEntry.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3CpeIpEntry.setDescription('The conceptual row of docsSubmgt3CpeIpTable.') docsSubmgt3CpeIpId = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 3, 1, 1), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(1, 1023))) if mibBuilder.loadTexts: docsSubmgt3CpeIpId.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3CpeIpId.setDescription("This attribute represents a unique identifier for a CPE IP of the CM. An instance of this attribute exists for each CPE provisioned in the 'Subscriber Management CPE IPv4 Table' or 'Subscriber Management CPE IPv6 Table' encodings. An entry is created either through the included CPE IP addresses in the provisioning object, or CPEs learned from traffic sourced from the CM.") docsSubmgt3CpeIpAddrType = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 3, 1, 2), InetAddressType()).setMaxAccess("readonly") if mibBuilder.loadTexts: docsSubmgt3CpeIpAddrType.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3CpeIpAddrType.setDescription('The type of Internet address of the Addr attribute, such as IPv4 or IPv6.') docsSubmgt3CpeIpAddr = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 3, 1, 3), InetAddress()).setMaxAccess("readonly") if mibBuilder.loadTexts: docsSubmgt3CpeIpAddr.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3CpeIpAddr.setDescription('This attribute represents the IP address either set from provisioning or learned via address gleaning of the DHCP exchange or some other means.') docsSubmgt3CpeIpAddrPrefixLen = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 3, 1, 4), InetAddressPrefixLength()).setMaxAccess("readonly") if mibBuilder.loadTexts: docsSubmgt3CpeIpAddrPrefixLen.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3CpeIpAddrPrefixLen.setDescription('This attribute represents the prefix length associated with the IP prefix (IPv4 or IPv6) that is either set via provisioning or learned via address gleaning of the DHCP exchange or some other means. For IPv4 CPE addresses, this attribute generally reports the value 32 (32 bits) to indicate a unicast IPv4 address. For IPv6 CPE addresses, this attribute represents either a discrete IPv6 IA_NA unicast address (a value of 128 bits, equal to /128 prefix length) or a delegated prefix (IA_PD) and its associated length (such as 56 bits, equal to /56 prefix length).') docsSubmgt3CpeIpLearned = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 3, 1, 5), TruthValue()).setMaxAccess("readonly") if mibBuilder.loadTexts: docsSubmgt3CpeIpLearned.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3CpeIpLearned.setDescription("This attribute is set to 'true' when the IP address was learned from IP packets sent upstream rather than via the CM provisioning process.") docsSubmgt3CpeIpType = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 3, 1, 6), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5, 6, 7, 8, 9))).clone(namedValues=NamedValues(("cpe", 1), ("ps", 2), ("mta", 3), ("stb", 4), ("tea", 5), ("erouter", 6), ("dva", 7), ("sg", 8), ("card", 9)))).setMaxAccess("readonly") if mibBuilder.loadTexts: docsSubmgt3CpeIpType.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3CpeIpType.setDescription("This attribute represents the type of CPE based on the following classification below: 'cpe' Regular CPE clients. 'ps' CableHome Portal Server (PS) 'mta' PacketCable Multimedia Terminal Adapter (MTA) 'stb' Digital Set-top Box (STB). 'tea' T1 Emulation adapter (TEA) 'erouter' Embedded Router (eRouter) 'dva' Digital Voice Adapter (DVA) 'sg' Security Gateway (SG) 'card' CableCARD") docsSubmgt3GrpTable = MibTable((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 4), ) if mibBuilder.loadTexts: docsSubmgt3GrpTable.setReference('DOCSIS 3.0 MAC and Upper Layer Protocols Interface Specification CM-SP-MULPIv3.0-I26-150305, Subscriber Management TLVs section in the Common Radio Frequency Interface Encodings Annex.') if mibBuilder.loadTexts: docsSubmgt3GrpTable.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3GrpTable.setDescription('This object defines the set of downstream and upstream filter groups that the CMTS applies to traffic associated with that CM.') docsSubmgt3GrpEntry = MibTableRow((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 4, 1), ) docsIf3CmtsCmRegStatusEntry.registerAugmentions(("DOCS-SUBMGT3-MIB", "docsSubmgt3GrpEntry")) docsSubmgt3GrpEntry.setIndexNames(*docsIf3CmtsCmRegStatusEntry.getIndexNames()) if mibBuilder.loadTexts: docsSubmgt3GrpEntry.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3GrpEntry.setDescription('The conceptual row of docsSubmgt3GrpTable. The CMTS does not persist the instances of the Grp object across reinitializations.') docsSubMgt3GrpUdcGroupIds = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 4, 1, 1), SnmpTagList().clone(hexValue="")).setMaxAccess("readwrite") if mibBuilder.loadTexts: docsSubMgt3GrpUdcGroupIds.setStatus('current') if mibBuilder.loadTexts: docsSubMgt3GrpUdcGroupIds.setDescription("This attribute represents the filter group(s) associated with the CM signaled 'Upstream Drop Classifier Group ID' encodings during the registration process. UDC Group IDs are integer values and this attribute reports them as decimal numbers that are space-separated. The zero-length string indicates that the CM didn't signal UDC Group IDs. This attribute provides two functions: - Communicate the CM the configured UDC Group ID(s), irrespective of the CM being provisioned to filter upstream traffic based on IP Filters or UDCs. - Optionally, and with regards to the CMTS, if the value of the attribute UdcSentInReqRsp is 'true', indicates that the filtering rules associated with the Subscriber Management Group ID(s) will be sent during registration to the CM. It is vendor specific whether the CMTS updates individual CM UDCs after registration when rules are changed in the Grp object.") docsSubMgt3GrpUdcSentInRegRsp = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 4, 1, 2), TruthValue().clone('false')).setMaxAccess("readwrite") if mibBuilder.loadTexts: docsSubMgt3GrpUdcSentInRegRsp.setStatus('current') if mibBuilder.loadTexts: docsSubMgt3GrpUdcSentInRegRsp.setDescription("This attribute represents the CMTS upstream filtering status for this CM. The value 'true' indicates that the CMTS has sent UDCs to the CM during registration process. In order for a CMTS to send UDCs to a CM, the CMTS MAC Domain needed to be enabled via the MAC Domain attribute SendUdcRulesEnabled and the CM had indicated the UDC capability support during the registration process. The value 'false' indicates that the CMTS was not enabled to sent UDCs to the CMs in the MAC Domain, or the CM does not advertised UDC support in its capabilities encodings, or both. Since the CMTS capability to sent UDCs to CMs during the registration process is optional, the CMTS is not required to implement the value 'true'.") docsSubmgt3GrpSubFilterDs = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 4, 1, 3), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 1024))).setMaxAccess("readwrite") if mibBuilder.loadTexts: docsSubmgt3GrpSubFilterDs.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3GrpSubFilterDs.setDescription("This attribute represents the filter group applied to traffic destined for subscriber's CPE attached to the referenced CM (attached to CM CPE interfaces). This value corresponds to the 'Subscriber Downstream Group' value of the 'Subscriber Management Filter Groups' encoding signaled during the CM registration or in its absence, to the SubFilterDownDef attribute of the Base object. The value zero or a filter group ID not configured in the CMTS means no filtering is applied to traffic destined to hosts attached to this CM.") docsSubmgt3GrpSubFilterUs = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 4, 1, 4), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 1024))).setMaxAccess("readwrite") if mibBuilder.loadTexts: docsSubmgt3GrpSubFilterUs.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3GrpSubFilterUs.setDescription("This attribute represents the filter group applied to traffic originating from subscriber's CPE attached to the referenced CM (attached to CM CPE interfaces). This value corresponds to the 'Subscriber Upstream Group' value of the 'Subscriber Management Filter Groups' encoding signaled during the CM registration or in its absence, to the SubFilterUpDef attribute of the Base object. The value zero or a filter group ID not configured in the CMTS means no filtering is applied to traffic originating from hosts attached to this CM.") docsSubmgt3GrpCmFilterDs = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 4, 1, 5), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 1024))).setMaxAccess("readwrite") if mibBuilder.loadTexts: docsSubmgt3GrpCmFilterDs.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3GrpCmFilterDs.setDescription("This attribute represents the filter group applied to traffic destined for the CM itself. This value corresponds to the 'CM Downstream Group' value of the 'Subscriber Management Filter Groups' encoding signaled during the CM registration or in its absence, to the CmFilterDownDef attribute of the Base object. The value zero or a filter group ID not configured in the CMTS means no filtering is applied to traffic destined to the CM.") docsSubmgt3GrpCmFilterUs = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 4, 1, 6), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 1024))).setMaxAccess("readwrite") if mibBuilder.loadTexts: docsSubmgt3GrpCmFilterUs.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3GrpCmFilterUs.setDescription("This attribute represents the filter group applied to traffic originating from the CM itself. This value corresponds to the 'Subscriber Upstream Group' value of the 'Subscriber Management Filter Groups' encoding signaled during the CM registration or in its absence, to the SubFilterUpDef attribute of the Base object. The value zero or a filter group ID not configured in the CMTS means no filtering is applied to traffic originating from this CM.") docsSubmgt3GrpPsFilterDs = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 4, 1, 7), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 1024))).setMaxAccess("readwrite") if mibBuilder.loadTexts: docsSubmgt3GrpPsFilterDs.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3GrpPsFilterDs.setDescription("This attribute represents the filter group applied to traffic destined to the Embedded CableHome Portal Services Element or the Embedded Router on the referenced CM. This value corresponds to the 'PS Downstream Group' value of the 'Subscriber Management Filter Groups' encoding signaled during the CM registration or in its absence, to the SubFilterDownDef attribute of the Base object. The value zero or a filter group ID not configured in the CMTS means no filtering is applied to traffic destined to the Embedded CableHome Portal Services Element or Embedded Router on this CM.") docsSubmgt3GrpPsFilterUs = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 4, 1, 8), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 1024))).setMaxAccess("readwrite") if mibBuilder.loadTexts: docsSubmgt3GrpPsFilterUs.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3GrpPsFilterUs.setDescription("This attribute represents the filter group applied to traffic originating from the Embedded CableHome Portal Services Element or Embedded Router on the referenced CM. This value corresponds to the 'PS Upstream Group' value of the 'Subscriber Management Filter Groups' encoding signaled during the CM registration or in its absence, to the SubFilterUpDef attribute of the Base object. The value zero or a filter group ID not configured in the CMTS means no filtering is applied to traffic originating from the Embedded CableHome Portal Services Element or Embedded Router on this CM.") docsSubmgt3GrpMtaFilterDs = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 4, 1, 9), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 1024))).setMaxAccess("readwrite") if mibBuilder.loadTexts: docsSubmgt3GrpMtaFilterDs.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3GrpMtaFilterDs.setDescription("This attribute represents the filter group applied to traffic destined to the Embedded PacketCable Multimedia Terminal Adapter, Embedded PacketCable 2.0 Digital Voice Adaptor, Embedded PacketCable Security, Monitoring, and Automation Gateway, or Embedded T1/E1 TDM Emulation Adapter on the referenced CM. This value corresponds to the 'MTA Downstream Group' value of the 'Subscriber Management Filter Groups' encoding signaled during the CM registration or in its absence, to the SubFilterDownDef attribute of the Base object. The value zero or a filter group ID not configured in the CMTS means no filtering is applied to traffic destined to the Embedded PacketCable Multimedia Terminal Adapter, Embedded PacketCable 2.0 Digital Voice Adaptor, Embedded PacketCable Security, Monitoring, and Automation Gateway, or Embedded T1/E1 TDM Emulation Adapter on this CM.") docsSubmgt3GrpMtaFilterUs = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 4, 1, 10), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 1024))).setMaxAccess("readwrite") if mibBuilder.loadTexts: docsSubmgt3GrpMtaFilterUs.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3GrpMtaFilterUs.setDescription("This attribute represents the filter group applied to traffic originating from the Embedded PacketCable Multimedia Terminal Adapter, Embedded PacketCable 2.0 Digital Voice Adaptor, Embedded PacketCable Security, Monitoring, and Automation Gateway, or Embedded T1/E1 TDM Emulation Adapter on the referenced CM. This value corresponds to the 'MTA Upstream Group' value of the 'Subscriber Management Filter Groups' encoding signaled during the CM registration or in its absence, to the SubFilterUpDef attribute of the Base object. The value zero or a filter group ID not configured in the CMTS means no filtering is applied to traffic originating from the Embedded PacketCable Multimedia Terminal Adapter, Embedded PacketCable 2.0 Digital Voice Adaptor, Embedded PacketCable Security, Monitoring, and Automation Gateway, or Embedded T1/E1 TDM Emulation Adapter on this CM.") docsSubmgt3GrpStbFilterDs = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 4, 1, 11), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 1024))).setMaxAccess("readwrite") if mibBuilder.loadTexts: docsSubmgt3GrpStbFilterDs.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3GrpStbFilterDs.setDescription("This attribute represents the filter group applied to traffic destined for the Embedded Set-Top Box or CableCARD on the referenced CM. This value corresponds to the 'STB Downstream Group' value of the 'Subscriber Management Filter Groups' encoding signaled during the CM registration or in its absence, to the SubFilterDownDef attribute of the Base object. The value zero or a filter group ID not configured in the CMTS means no filtering is applied to traffic destined to the Embedded Set-Top Box or CableCARD on this CM.") docsSubmgt3GrpStbFilterUs = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 4, 1, 12), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 1024))).setMaxAccess("readwrite") if mibBuilder.loadTexts: docsSubmgt3GrpStbFilterUs.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3GrpStbFilterUs.setDescription("This attribute represents the filter group applied to traffic originating from the Embedded Set-Top Box or CableCARD on the referenced CM. This value corresponds to the 'STB Upstream Group' value of the 'Subscriber Management Filter Groups' encoding signaled during the CM registration or in its absence, to the SubFilterUpDef attribute of the Base object. The value zero or a filter group ID not configured in the CMTS means no filtering is applied to traffic originating from the Embedded Set-Top Box or CableCARD on this CM.") docsSubmgt3FilterGrpTable = MibTable((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 5), ) if mibBuilder.loadTexts: docsSubmgt3FilterGrpTable.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3FilterGrpTable.setDescription("This object describes a set of filter or classifier criteria. Classifiers are assigned by group to the individual CMs. That assignment is made via the 'Subscriber Management TLVs' encodings sent upstream from the CM to the CMTS during registration or in their absence, default values configured in the CMTS. A Filter Group ID (GrpId) is a set of rules that correspond to the expansion of a UDC Group ID into UDC individual classification rules. The Filter Group Ids are generated whenever the CMTS is configured to send UDCs during the CM registration process. Implementation of L2 classification criteria is optional for the CMTS; LLC/MAC upstream and downstream filter criteria can be ignored during the packet matching process.") docsSubmgt3FilterGrpEntry = MibTableRow((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 5, 1), ).setIndexNames((0, "DOCS-SUBMGT3-MIB", "docsSubmgt3FilterGrpGrpId"), (0, "DOCS-SUBMGT3-MIB", "docsSubmgt3FilterGrpRuleId")) if mibBuilder.loadTexts: docsSubmgt3FilterGrpEntry.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3FilterGrpEntry.setDescription('The conceptual row of docsSubmgt3FilterGrpTable. The CMTS persists all instances of the FilterGrp object across reinitializations.') docsSubmgt3FilterGrpGrpId = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 5, 1, 1), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(1, 1024))) if mibBuilder.loadTexts: docsSubmgt3FilterGrpGrpId.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3FilterGrpGrpId.setDescription('This key is an identifier for a set of classifiers known as a filter group. Each CM may be associated with several filter groups for its upstream and downstream traffic, one group per target end point on the CM as defined in the Grp object. Typically, many CMs share a common set of filter groups.') docsSubmgt3FilterGrpRuleId = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 5, 1, 2), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(1, 65535))) if mibBuilder.loadTexts: docsSubmgt3FilterGrpRuleId.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3FilterGrpRuleId.setDescription('This key represents an ordered classifier identifier within the group. Filters are applied in order if the Priority attribute is not supported.') docsSubmgt3FilterGrpAction = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 5, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("permit", 1), ("deny", 2))).clone('permit')).setMaxAccess("readcreate") if mibBuilder.loadTexts: docsSubmgt3FilterGrpAction.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3FilterGrpAction.setDescription("This attribute represents the action to take upon this filter matching. 'permit' means to stop the classification matching and accept the packet for further processing. 'deny' means to drop the packet.") docsSubmgt3FilterGrpPriority = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 5, 1, 4), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 65535))).setMaxAccess("readcreate") if mibBuilder.loadTexts: docsSubmgt3FilterGrpPriority.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3FilterGrpPriority.setDescription('This attribute defines the order in which classifiers are compared against packets. The higher the value, the higher the priority.') docsSubmgt3FilterGrpIpTosLow = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 5, 1, 5), OctetString().subtype(subtypeSpec=ValueSizeConstraint(1, 1)).setFixedLength(1).clone(hexValue="00")).setMaxAccess("readcreate") if mibBuilder.loadTexts: docsSubmgt3FilterGrpIpTosLow.setReference('DOCSIS 3.0 MAC and Upper Layer Protocols Interface Specification CM-SP-MULPIv3.0-I26-150305. RFC 791. RFC 3260. RFC 3168.') if mibBuilder.loadTexts: docsSubmgt3FilterGrpIpTosLow.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3FilterGrpIpTosLow.setDescription('This attribute represents the low value of a range of ToS (Type of Service) octet values. This object is defined as an 8-bit octet as per the DOCSIS Specification for packet classification. The IP ToS octet, as originally defined in RFC 791, has been superseded by the 6-bit Differentiated Services Field (DSField, RFC 3260) and the 2-bit Explicit Congestion Notification Field (ECN field, RFC 3168).') docsSubmgt3FilterGrpIpTosHigh = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 5, 1, 6), OctetString().subtype(subtypeSpec=ValueSizeConstraint(1, 1)).setFixedLength(1).clone(hexValue="00")).setMaxAccess("readcreate") if mibBuilder.loadTexts: docsSubmgt3FilterGrpIpTosHigh.setReference('DOCSIS 3.0 MAC and Upper Layer Protocols Interface Specification CM-SP-MULPIv3.0-I26-150305. RFC 791. RFC 3260. RFC 3168.') if mibBuilder.loadTexts: docsSubmgt3FilterGrpIpTosHigh.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3FilterGrpIpTosHigh.setDescription('This attribute represents the high value of a range of ToS octet values. This object is defined as an 8-bit octet as per the DOCSIS Specification for packet classification. The IP ToS octet, as originally defined in RFC 791, has been superseded by the 6-bit Differentiated Services Field (DSField, RFC 3260) and the 2-bit Explicit Congestion Notification Field (ECN field, RFC 3168).') docsSubmgt3FilterGrpIpTosMask = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 5, 1, 7), OctetString().subtype(subtypeSpec=ValueSizeConstraint(1, 1)).setFixedLength(1).clone(hexValue="00")).setMaxAccess("readcreate") if mibBuilder.loadTexts: docsSubmgt3FilterGrpIpTosMask.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3FilterGrpIpTosMask.setDescription('This attribute represents the mask value that is bitwise ANDed with ToS octet in an IP packet, and the resulting value is used for range checking of IpTosLow and IpTosHigh.') docsSubmgt3FilterGrpIpProtocol = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 5, 1, 8), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 257)).clone(256)).setMaxAccess("readcreate") if mibBuilder.loadTexts: docsSubmgt3FilterGrpIpProtocol.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3FilterGrpIpProtocol.setDescription('This attribute represents the value of the IP Protocol field required for IP packets to match this rule. The value 256 matches traffic with any IP Protocol value. The value 257 by convention matches both TCP and UDP.') docsSubmgt3FilterGrpInetAddrType = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 5, 1, 9), InetAddressType().clone('unknown')).setMaxAccess("readcreate") if mibBuilder.loadTexts: docsSubmgt3FilterGrpInetAddrType.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3FilterGrpInetAddrType.setDescription('The type of the Internet address for InetSrcAddr, InetSrcMask, InetDestAddr, and InetDestMask.') docsSubmgt3FilterGrpInetSrcAddr = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 5, 1, 10), InetAddress().clone(hexValue="")).setMaxAccess("readcreate") if mibBuilder.loadTexts: docsSubmgt3FilterGrpInetSrcAddr.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3FilterGrpInetSrcAddr.setDescription("This attribute specifies the value of the IP Source Address required for packets to match this rule. An IP packet matches the rule when the packet's IP Source Address bitwise ANDed with the InetSrcMask value equals the InetSrcAddr value. The address type of this object is specified by the InetAddressType attribute.") docsSubmgt3FilterGrpInetSrcMask = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 5, 1, 11), InetAddress().clone(hexValue="")).setMaxAccess("readcreate") if mibBuilder.loadTexts: docsSubmgt3FilterGrpInetSrcMask.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3FilterGrpInetSrcMask.setDescription("This attribute represents which bits of a packet's IP Source Address are compared to match this rule. An IP packet matches the rule when the packet's IP Source Address bitwise ANDed with the InetSrcMask value equals the InetSrcAddr value. The address type of this object is specified by InetAddrType.") docsSubmgt3FilterGrpInetDestAddr = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 5, 1, 12), InetAddress().clone(hexValue="")).setMaxAccess("readcreate") if mibBuilder.loadTexts: docsSubmgt3FilterGrpInetDestAddr.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3FilterGrpInetDestAddr.setDescription("This attribute specifies the value of the IP Destination Address required for packets to match this rule. An IP packet matches the rule when the packet's IP Destination Address bitwise ANDed with the InetSrcMask value equals the InetDestAddr value. The address type of this object is specified by the InetAddrType attribute.") docsSubmgt3FilterGrpInetDestMask = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 5, 1, 13), InetAddress().clone(hexValue="")).setMaxAccess("readcreate") if mibBuilder.loadTexts: docsSubmgt3FilterGrpInetDestMask.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3FilterGrpInetDestMask.setDescription("This attribute represents which bits of a packet's IP Destination Address are compared to match this rule. An IP packet matches the rule when the packet's IP Destination Address bitwise ANDed with the InetDestMask value equals the InetDestAddr value. The address type of this object is specified by InetAddrType.") docsSubmgt3FilterGrpSrcPortStart = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 5, 1, 14), InetPortNumber()).setMaxAccess("readcreate") if mibBuilder.loadTexts: docsSubmgt3FilterGrpSrcPortStart.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3FilterGrpSrcPortStart.setDescription('This attribute represents the low-end inclusive range of TCP/UDP source port numbers to which a packet is compared. This attribute is irrelevant for non-TCP/UDP IP packets.') docsSubmgt3FilterGrpSrcPortEnd = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 5, 1, 15), InetPortNumber().clone(65535)).setMaxAccess("readcreate") if mibBuilder.loadTexts: docsSubmgt3FilterGrpSrcPortEnd.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3FilterGrpSrcPortEnd.setDescription('This attribute represents the high-end inclusive range of TCP/UDP source port numbers to which a packet is compared. This attribute is irrelevant for non-TCP/UDP IP packets.') docsSubmgt3FilterGrpDestPortStart = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 5, 1, 16), InetPortNumber()).setMaxAccess("readcreate") if mibBuilder.loadTexts: docsSubmgt3FilterGrpDestPortStart.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3FilterGrpDestPortStart.setDescription('This attribute represents the low-end inclusive range of TCP/UDP destination port numbers to which a packet is compared. This attribute is irrelevant for non-TCP/UDP IP packets.') docsSubmgt3FilterGrpDestPortEnd = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 5, 1, 17), InetPortNumber().clone(65535)).setMaxAccess("readcreate") if mibBuilder.loadTexts: docsSubmgt3FilterGrpDestPortEnd.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3FilterGrpDestPortEnd.setDescription('This attribute represents the high-end inclusive range of TCP/UDP destination port numbers to which a packet is compared. This attribute is irrelevant for non-TCP/UDP IP packets.') docsSubmgt3FilterGrpDestMacAddr = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 5, 1, 18), MacAddress().clone(hexValue="000000000000")).setMaxAccess("readcreate") if mibBuilder.loadTexts: docsSubmgt3FilterGrpDestMacAddr.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3FilterGrpDestMacAddr.setDescription('This attribute represents the criteria to match against an Ethernet packet MAC address bitwise ANDed with DestMacMask.') docsSubmgt3FilterGrpDestMacMask = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 5, 1, 19), MacAddress().clone(hexValue="000000000000")).setMaxAccess("readcreate") if mibBuilder.loadTexts: docsSubmgt3FilterGrpDestMacMask.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3FilterGrpDestMacMask.setDescription('An Ethernet packet matches an entry when its destination MAC address bitwise ANDed with the DestMacMask attribute equals the value of the DestMacAddr attribute.') docsSubmgt3FilterGrpSrcMacAddr = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 5, 1, 20), MacAddress().clone(hexValue="FFFFFFFFFFFF")).setMaxAccess("readcreate") if mibBuilder.loadTexts: docsSubmgt3FilterGrpSrcMacAddr.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3FilterGrpSrcMacAddr.setDescription('This attribute represents the value to match against an Ethernet packet source MAC address.') docsSubmgt3FilterGrpEnetProtocolType = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 5, 1, 21), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(0, 1, 2, 3, 4))).clone(namedValues=NamedValues(("none", 0), ("ethertype", 1), ("dsap", 2), ("mac", 3), ("all", 4))).clone('none')).setMaxAccess("readcreate") if mibBuilder.loadTexts: docsSubmgt3FilterGrpEnetProtocolType.setReference('RFC1042 Sub-Network Access Protocol (SNAP) encapsulation formats.') if mibBuilder.loadTexts: docsSubmgt3FilterGrpEnetProtocolType.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3FilterGrpEnetProtocolType.setDescription("This attribute indicates the format of the layer 3 protocol ID in the Ethernet packet. A value of 'none' means that the rule does not use the layer 3 protocol type as a matching criteria. A value of 'ethertype' means that the rule applies only to frames that contain an EtherType value. EtherType values are contained in packets using the DEC-Intel-Xerox (DIX) encapsulation or the RFC 1042 Sub-Network Access Protocol (SNAP) encapsulation formats. A value of 'dsap' means that the rule applies only to frames using the IEEE802.3 encapsulation format with a Destination Service Access Point (DSAP) other than 0xAA (which is reserved for SNAP). A value of 'mac' means that the rule applies only to MAC management messages for MAC management messages. A value of 'all' means that the rule matches all Ethernet packets. If the Ethernet frame contains an 802.1P/Q Tag header (i.e., EtherType 0x8100), this attribute applies to the embedded EtherType field within the 802.1p/Q header. The value 'mac' is only used for passing UDCs to CMs during Registration. The CMTS ignores filter rules that include the value of this attribute set to 'mac' for CMTS enforced upstream and downstream subscriber management filter group rules.") docsSubmgt3FilterGrpEnetProtocol = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 5, 1, 22), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 65535))).setMaxAccess("readcreate") if mibBuilder.loadTexts: docsSubmgt3FilterGrpEnetProtocol.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3FilterGrpEnetProtocol.setDescription("This attribute represents the Ethernet protocol type to be matched against the packets. For EnetProtocolType set to 'none', this attribute is ignored when considering whether a packet matches the current rule. If the attribute EnetProtocolType is 'ethertype', this attribute gives the 16-bit value of the EtherType that the packet must match in order to match the rule. If the attribute EnetProtocolType is 'dsap', the lower 8 bits of this attribute's value must match the DSAP octet of the packet in order to match the rule. If the Ethernet frame contains an 802.1p/Q Tag header (i.e., EtherType 0x8100), this attribute applies to the embedded EtherType field within the 802.1p/Q header.") docsSubmgt3FilterGrpUserPriLow = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 5, 1, 23), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 7))).setMaxAccess("readcreate") if mibBuilder.loadTexts: docsSubmgt3FilterGrpUserPriLow.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3FilterGrpUserPriLow.setDescription('This attribute applies only to Ethernet frames using the 802.1p/Q tag header (indicated with EtherType 0x8100). Such frames include a 16-bit Tag that contains a 3-bit Priority field and a 12-bit VLAN number. Tagged Ethernet packets must have a 3-bit Priority field within the range of PriLow to PriHigh in order to match this rule.') docsSubmgt3FilterGrpUserPriHigh = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 5, 1, 24), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 7)).clone(7)).setMaxAccess("readcreate") if mibBuilder.loadTexts: docsSubmgt3FilterGrpUserPriHigh.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3FilterGrpUserPriHigh.setDescription('This attribute applies only to Ethernet frames using the 802.1p/Q tag header (indicated with EtherType 0x8100). Such frames include a 16-bit Tag that contains a 3-bit Priority field and a 12-bit VLAN number. Tagged Ethernet packets must have a 3-bit Priority field within the range of PriLow to PriHigh in order to match this rule.') docsSubmgt3FilterGrpVlanId = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 5, 1, 25), Unsigned32().subtype(subtypeSpec=ConstraintsUnion(ValueRangeConstraint(0, 0), ValueRangeConstraint(1, 4094), ))).setMaxAccess("readcreate") if mibBuilder.loadTexts: docsSubmgt3FilterGrpVlanId.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3FilterGrpVlanId.setDescription('This attribute applies only to Ethernet frames using the 802.1p/Q tag header. Tagged packets must have a VLAN Identifier that matches the value in order to match the rule.') docsSubmgt3FilterGrpClassPkts = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 5, 1, 26), Counter64()).setMaxAccess("readonly") if mibBuilder.loadTexts: docsSubmgt3FilterGrpClassPkts.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3FilterGrpClassPkts.setDescription('This attribute counts the number of packets that have been classified (matched) using this rule entry. This includes all packets delivered to a Service Flow maximum rate policing function, whether or not that function drops the packets. Discontinuities in the value of this counter can occur at re-initialization of the managed system, and at other times as indicated by the value of ifCounterDiscontinuityTime for the CM MAC Domain interface.') docsSubmgt3FilterGrpFlowLabel = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 5, 1, 27), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 1048575))).setMaxAccess("readcreate") if mibBuilder.loadTexts: docsSubmgt3FilterGrpFlowLabel.setReference('DOCSIS 3.0 MAC and Upper Layer Protocols Interface Specification CM-SP-MULPIv3.0-I26-150305, IPv6 Flow Label section in the Common Radio Frequency Interface Encodings Annex.') if mibBuilder.loadTexts: docsSubmgt3FilterGrpFlowLabel.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3FilterGrpFlowLabel.setDescription('This attribute represents the Flow Label field in the IPv6 header to be matched by the classifier. The value zero indicates that the Flow Label is not specified as part of the classifier and is not matched against packets.') docsSubmgt3FilterGrpCmInterfaceMask = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 5, 1, 28), DocsL2vpnIfList()).setMaxAccess("readcreate") if mibBuilder.loadTexts: docsSubmgt3FilterGrpCmInterfaceMask.setReference('DOCSIS 3.0 MAC and Upper Layer Protocols Interface Specification CM-SP-MULPIv3.0-I26-150305, CM Interface Mask (CMIM) Encoding section in the Common Radio Frequency Interface Encodings Annex.') if mibBuilder.loadTexts: docsSubmgt3FilterGrpCmInterfaceMask.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3FilterGrpCmInterfaceMask.setDescription('This attribute represents a bit-mask of the CM in-bound interfaces to which this classifier applies. This attribute only applies to upstream Drop Classifiers being sent to CMs during the registration process.') docsSubmgt3FilterGrpRowStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 5, 1, 29), RowStatus()).setMaxAccess("readcreate") if mibBuilder.loadTexts: docsSubmgt3FilterGrpRowStatus.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3FilterGrpRowStatus.setDescription('The conceptual row status of this object.') docsSubmgt3MibConformance = MibIdentifier((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 2)) docsSubmgt3MibCompliances = MibIdentifier((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 2, 1)) docsSubmgt3MibGroups = MibIdentifier((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 2, 2)) docsSubmgt3Compliance = ModuleCompliance((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 2, 1, 1)).setObjects(("DOCS-SUBMGT3-MIB", "docsSubmgt3Group")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): docsSubmgt3Compliance = docsSubmgt3Compliance.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3Compliance.setDescription('The compliance statement for devices that implement the DOCSIS Subscriber Management 3 MIB.') docsSubmgt3Group = ObjectGroup((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 2, 2, 1)).setObjects(("DOCS-SUBMGT3-MIB", "docsSubmgt3BaseCpeMaxIpv4Def"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3BaseCpeMaxIpv6PrefixesDef"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3BaseCpeActiveDef"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3BaseCpeLearnableDef"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3BaseSubFilterDownDef"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3BaseSubFilterUpDef"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3BaseCmFilterDownDef"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3BaseCmFilterUpDef"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3BasePsFilterDownDef"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3BasePsFilterUpDef"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3BaseMtaFilterDownDef"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3BaseMtaFilterUpDef"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3BaseStbFilterDownDef"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3BaseStbFilterUpDef"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3CpeCtrlMaxCpeIpv4"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3CpeCtrlMaxCpeIpv6Prefixes"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3CpeCtrlActive"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3CpeCtrlLearnable"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3CpeCtrlReset"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3CpeCtrlLastReset"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3CpeIpAddrType"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3CpeIpAddr"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3CpeIpAddrPrefixLen"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3CpeIpLearned"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3CpeIpType"), ("DOCS-SUBMGT3-MIB", "docsSubMgt3GrpUdcGroupIds"), ("DOCS-SUBMGT3-MIB", "docsSubMgt3GrpUdcSentInRegRsp"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3GrpSubFilterDs"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3GrpSubFilterUs"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3GrpCmFilterDs"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3GrpCmFilterUs"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3GrpPsFilterDs"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3GrpPsFilterUs"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3GrpMtaFilterDs"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3GrpMtaFilterUs"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3GrpStbFilterDs"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3GrpStbFilterUs"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3FilterGrpAction"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3FilterGrpPriority"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3FilterGrpIpTosLow"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3FilterGrpIpTosHigh"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3FilterGrpIpTosMask"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3FilterGrpIpProtocol"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3FilterGrpInetAddrType"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3FilterGrpInetSrcAddr"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3FilterGrpInetSrcMask"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3FilterGrpInetDestAddr"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3FilterGrpInetDestMask"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3FilterGrpSrcPortStart"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3FilterGrpSrcPortEnd"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3FilterGrpDestPortStart"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3FilterGrpDestPortEnd"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3FilterGrpDestMacAddr"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3FilterGrpDestMacMask"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3FilterGrpSrcMacAddr"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3FilterGrpEnetProtocolType"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3FilterGrpEnetProtocol"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3FilterGrpUserPriLow"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3FilterGrpUserPriHigh"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3FilterGrpVlanId"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3FilterGrpClassPkts"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3FilterGrpFlowLabel"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3FilterGrpCmInterfaceMask"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3FilterGrpRowStatus")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): docsSubmgt3Group = docsSubmgt3Group.setStatus('current') if mibBuilder.loadTexts: docsSubmgt3Group.setDescription('Group of objects implemented in the CMTS.') mibBuilder.exportSymbols("DOCS-SUBMGT3-MIB", docsSubmgt3CpeCtrlMaxCpeIpv6Addresses=docsSubmgt3CpeCtrlMaxCpeIpv6Addresses, docsSubmgt3BaseSubFilterDownDef=docsSubmgt3BaseSubFilterDownDef, docsSubmgt3CpeIpLearned=docsSubmgt3CpeIpLearned, docsSubmgt3FilterGrpTable=docsSubmgt3FilterGrpTable, docsSubmgt3FilterGrpGrpId=docsSubmgt3FilterGrpGrpId, docsSubmgt3BaseCpeActiveDef=docsSubmgt3BaseCpeActiveDef, docsSubmgt3FilterGrpPriority=docsSubmgt3FilterGrpPriority, docsSubmgt3MibGroups=docsSubmgt3MibGroups, docsSubmgt3FilterGrpDestMacAddr=docsSubmgt3FilterGrpDestMacAddr, docsSubmgt3BaseCpeMaxIpv4Def=docsSubmgt3BaseCpeMaxIpv4Def, docsSubmgt3GrpCmFilterUs=docsSubmgt3GrpCmFilterUs, PYSNMP_MODULE_ID=docsSubmgt3Mib, docsSubmgt3BaseCmFilterUpDef=docsSubmgt3BaseCmFilterUpDef, docsSubMgt3GrpUdcSentInRegRsp=docsSubMgt3GrpUdcSentInRegRsp, docsSubmgt3BaseMtaFilterUpDef=docsSubmgt3BaseMtaFilterUpDef, docsSubmgt3GrpPsFilterDs=docsSubmgt3GrpPsFilterDs, docsSubmgt3Base=docsSubmgt3Base, docsSubmgt3FilterGrpCmInterfaceMask=docsSubmgt3FilterGrpCmInterfaceMask, docsSubmgt3GrpCmFilterDs=docsSubmgt3GrpCmFilterDs, docsSubmgt3FilterGrpEntry=docsSubmgt3FilterGrpEntry, docsSubmgt3FilterGrpSrcMacAddr=docsSubmgt3FilterGrpSrcMacAddr, docsSubmgt3MibObjects=docsSubmgt3MibObjects, docsSubmgt3CpeIpId=docsSubmgt3CpeIpId, docsSubmgt3CpeCtrlTable=docsSubmgt3CpeCtrlTable, docsSubmgt3CpeIpAddr=docsSubmgt3CpeIpAddr, docsSubmgt3CpeCtrlEntry=docsSubmgt3CpeCtrlEntry, docsSubmgt3BaseStbFilterDownDef=docsSubmgt3BaseStbFilterDownDef, docsSubmgt3GrpPsFilterUs=docsSubmgt3GrpPsFilterUs, docsSubmgt3FilterGrpAction=docsSubmgt3FilterGrpAction, docsSubmgt3BaseCpeMaxIpv6PrefixesDef=docsSubmgt3BaseCpeMaxIpv6PrefixesDef, docsSubmgt3FilterGrpInetDestAddr=docsSubmgt3FilterGrpInetDestAddr, docsSubmgt3CpeCtrlMaxCpeIpv4=docsSubmgt3CpeCtrlMaxCpeIpv4, docsSubmgt3CpeCtrlReset=docsSubmgt3CpeCtrlReset, docsSubmgt3BaseCpeMaxIpv6AddressesDef=docsSubmgt3BaseCpeMaxIpv6AddressesDef, docsSubmgt3CpeIpTable=docsSubmgt3CpeIpTable, docsSubmgt3FilterGrpClassPkts=docsSubmgt3FilterGrpClassPkts, docsSubmgt3FilterGrpIpTosMask=docsSubmgt3FilterGrpIpTosMask, docsSubmgt3Compliance=docsSubmgt3Compliance, docsSubmgt3FilterGrpDestPortEnd=docsSubmgt3FilterGrpDestPortEnd, docsSubmgt3BaseStbFilterUpDef=docsSubmgt3BaseStbFilterUpDef, docsSubmgt3CpeIpType=docsSubmgt3CpeIpType, docsSubmgt3GrpEntry=docsSubmgt3GrpEntry, docsSubmgt3FilterGrpDestMacMask=docsSubmgt3FilterGrpDestMacMask, docsSubmgt3FilterGrpInetDestMask=docsSubmgt3FilterGrpInetDestMask, docsSubmgt3FilterGrpEnetProtocolType=docsSubmgt3FilterGrpEnetProtocolType, docsSubmgt3FilterGrpIpTosHigh=docsSubmgt3FilterGrpIpTosHigh, docsSubmgt3BasePsFilterUpDef=docsSubmgt3BasePsFilterUpDef, docsSubmgt3FilterGrpIpProtocol=docsSubmgt3FilterGrpIpProtocol, docsSubmgt3CpeCtrlMaxCpeIpv6Prefixes=docsSubmgt3CpeCtrlMaxCpeIpv6Prefixes, docsSubmgt3MibConformance=docsSubmgt3MibConformance, docsSubmgt3CpeIpAddrPrefixLen=docsSubmgt3CpeIpAddrPrefixLen, docsSubmgt3FilterGrpFlowLabel=docsSubmgt3FilterGrpFlowLabel, docsSubmgt3FilterGrpSrcPortEnd=docsSubmgt3FilterGrpSrcPortEnd, docsSubmgt3FilterGrpInetAddrType=docsSubmgt3FilterGrpInetAddrType, docsSubmgt3FilterGrpUserPriLow=docsSubmgt3FilterGrpUserPriLow, docsSubmgt3CpeCtrlActive=docsSubmgt3CpeCtrlActive, docsSubmgt3GrpSubFilterDs=docsSubmgt3GrpSubFilterDs, docsSubmgt3FilterGrpEnetProtocol=docsSubmgt3FilterGrpEnetProtocol, docsSubmgt3FilterGrpVlanId=docsSubmgt3FilterGrpVlanId, docsSubmgt3FilterGrpDestPortStart=docsSubmgt3FilterGrpDestPortStart, docsSubmgt3CpeCtrlLastReset=docsSubmgt3CpeCtrlLastReset, docsSubmgt3BasePsFilterDownDef=docsSubmgt3BasePsFilterDownDef, docsSubmgt3Mib=docsSubmgt3Mib, docsSubmgt3GrpSubFilterUs=docsSubmgt3GrpSubFilterUs, docsSubmgt3Group=docsSubmgt3Group, docsSubmgt3FilterGrpRuleId=docsSubmgt3FilterGrpRuleId, docsSubmgt3FilterGrpInetSrcMask=docsSubmgt3FilterGrpInetSrcMask, docsSubmgt3BaseCpeLearnableDef=docsSubmgt3BaseCpeLearnableDef, docsSubmgt3GrpMtaFilterUs=docsSubmgt3GrpMtaFilterUs, docsSubmgt3BaseSubFilterUpDef=docsSubmgt3BaseSubFilterUpDef, docsSubmgt3GrpMtaFilterDs=docsSubmgt3GrpMtaFilterDs, docsSubmgt3FilterGrpSrcPortStart=docsSubmgt3FilterGrpSrcPortStart, docsSubmgt3GrpTable=docsSubmgt3GrpTable, docsSubmgt3FilterGrpUserPriHigh=docsSubmgt3FilterGrpUserPriHigh, docsSubmgt3FilterGrpIpTosLow=docsSubmgt3FilterGrpIpTosLow, docsSubmgt3FilterGrpRowStatus=docsSubmgt3FilterGrpRowStatus, docsSubmgt3BaseMtaFilterDownDef=docsSubmgt3BaseMtaFilterDownDef, docsSubmgt3CpeIpEntry=docsSubmgt3CpeIpEntry, docsSubmgt3CpeCtrlLearnable=docsSubmgt3CpeCtrlLearnable, docsSubmgt3FilterGrpInetSrcAddr=docsSubmgt3FilterGrpInetSrcAddr, docsSubmgt3BaseCmFilterDownDef=docsSubmgt3BaseCmFilterDownDef, docsSubMgt3GrpUdcGroupIds=docsSubMgt3GrpUdcGroupIds, docsSubmgt3CpeIpAddrType=docsSubmgt3CpeIpAddrType, docsSubmgt3GrpStbFilterUs=docsSubmgt3GrpStbFilterUs, docsSubmgt3MibCompliances=docsSubmgt3MibCompliances, docsSubmgt3GrpStbFilterDs=docsSubmgt3GrpStbFilterDs)

233.121528

4,926

0.808666

8,328

67,139

6.517891

0.100504

0.038024

0.066543

0.006264

0.516479

0.420129

0.394871

0.380796

0.367108

0.355649

0

0.052978

0.102861

67,139

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4,927

233.933798

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0.004856

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0.302158

0.517379

0.038336

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0.000419

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false

0.007194

0.035971

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0.035971

0

null

0

1

0

1

0

null

0

3

af3f87580b1b7148fd0f4b175c9291651129ec9b

452

py

Python

pyleecan/Methods/Elmer/Section/__setitem__.py

IrakozeFD/pyleecan

5a93bd98755d880176c1ce8ac90f36ca1b907055

[ "Apache-2.0" ]

95

2019-01-23T04:19:45.000Z

2022-03-17T18:22:10.000Z

pyleecan/Methods/Elmer/Section/__setitem__.py

IrakozeFD/pyleecan

5a93bd98755d880176c1ce8ac90f36ca1b907055

[ "Apache-2.0" ]

366

2019-02-20T07:15:08.000Z

2022-03-31T13:37:23.000Z

pyleecan/Methods/Elmer/Section/__setitem__.py

IrakozeFD/pyleecan

5a93bd98755d880176c1ce8ac90f36ca1b907055

[ "Apache-2.0" ]

74

2019-01-24T01:47:31.000Z

2022-02-25T05:44:42.000Z

# -*- coding: utf-8 -*- def __setitem__(self, key, value): """Called to implement assignment to self[key].""" if isinstance(value, tuple): self._statements.__setitem__(key, value[0]) if len(tuple) >= 1: self._comments.__setitem__(key, value[1]) else: self._comments.__setitem__(key, None) else: self._statements.__setitem__(key, value) self._comments.__setitem__(key, None)

30.133333

54

0.612832

52

452

4.769231

0.423077

0.201613

0.181452

0.266129

0.443548

0

0.011765

0.247788

452

14

55

32.285714

0.717647

0.14823

0

0.4

0

1

0.1

false

0

0.1

0

null

1

0

null

0

3

af464e5ec0f0975399c78f095f471d321778800e

106

py

Python

NotebookManage/notebook/apps.py

ahriknow/ahriknow

817b5670c964e01ffe19ed182ce0a7b42e17ce09

[ "MIT" ]

null

NotebookManage/notebook/apps.py

ahriknow/ahriknow

817b5670c964e01ffe19ed182ce0a7b42e17ce09

[ "MIT" ]

3

2021-03-19T01:28:43.000Z

2021-04-08T19:57:19.000Z

NotebookManage/notebook/apps.py

ahriknow/ahriknow

817b5670c964e01ffe19ed182ce0a7b42e17ce09

[ "MIT" ]

null

from django.apps import AppConfig class NotebookConfig(AppConfig): name = 'NotebookManage.notebook'

17.666667

36

0.783019

11

106

7.545455

0.909091

0

0.141509

106

5

37

21.2

0.912088

0

0.216981

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

3

af6a91448f547cabeb702497f5f3f2609332ab50

144

py

Python

srcs/types/Defines.py

Cardiox12/TheExecutor

4168857ff0cfd0d5829347adc2180fd16c264419

[ "MIT" ]

7

2020-11-17T12:23:48.000Z

2022-02-20T16:33:00.000Z

srcs/types/Defines.py

Cardiox12/TheExecutor

4168857ff0cfd0d5829347adc2180fd16c264419

[ "MIT" ]

8

2020-11-17T07:10:00.000Z

2021-01-31T12:31:04.000Z

srcs/types/Defines.py

Cardiox12/TheExecutor

4168857ff0cfd0d5829347adc2180fd16c264419

[ "MIT" ]

null

from enum import Enum BACKTICKS = "```" NEWLINE = "\n" RUN_CMD = "!run" class RunnerDefs(Enum): WORKDIR = "/runner" RESOURCES = "/resources"

16

25

0.659722

17

144

5.529412

0.764706

0

0.166667

144

9

25

16

0.783333

0

0.17931

0

1

0

false

0

0.142857

0

0.571429

0

1

0

null

0

1

0

null

0

1

0

3

af8e515475437e7b8b42656cd9d0d81394ed640b

670

py

Python

metricbeat/tests/system/test_logstash.py

tyrocca/beats

4c5daa89da0271580c0cb7302a9ca94d3b7c91ec

[ "ECL-2.0", "Apache-2.0" ]

null

metricbeat/tests/system/test_logstash.py

tyrocca/beats

4c5daa89da0271580c0cb7302a9ca94d3b7c91ec

[ "ECL-2.0", "Apache-2.0" ]

null

metricbeat/tests/system/test_logstash.py

tyrocca/beats

4c5daa89da0271580c0cb7302a9ca94d3b7c91ec

[ "ECL-2.0", "Apache-2.0" ]

null

import os import metricbeat import unittest import time class Test(metricbeat.BaseTest): COMPOSE_SERVICES = ['logstash'] FIELDS = ['logstash'] @unittest.skipUnless(metricbeat.INTEGRATION_TESTS, "integration test") def test_node(self): """ logstash node metricset test """ self.check_metricset("logstash", "node", self.get_hosts(), self.FIELDS + ["process"]) @unittest.skipUnless(metricbeat.INTEGRATION_TESTS, "integration test") def test_node_stats(self): """ logstash node_stats metricset test """ self.check_metricset("logstash", "node_stats", self.get_hosts(), self.FIELDS)

26.8

93

0.668657

71

670

6.140845

0.338028

0.110092

0.12844

0.178899

0.619266

0.518349

0.321101

0

0.210448

670

24

94

27.916667

0.824197

0.09403

0

0.153846

0

0.151786

0

1

0.153846

false

0

0.307692

0

0.692308

0

null

0

1

0

null

0

1

0

1

0

3

afb02281ebe492d7bcb97ca68f1f23d9c4d10b9b

432

py

Python

utils/__init__.py

lmartak/amt-wavenet

9717eb35f317994372cfd1c76b1546d21272fb67

[ "MIT" ]

9

2018-10-07T01:36:35.000Z

2021-12-29T23:44:24.000Z

utils/__init__.py

lmartak/amt-wavenet

9717eb35f317994372cfd1c76b1546d21272fb67

[ "MIT" ]

null

utils/__init__.py

lmartak/amt-wavenet

9717eb35f317994372cfd1c76b1546d21272fb67

[ "MIT" ]

3

2018-11-15T13:32:08.000Z

2020-02-15T22:58:19.000Z

from .filesystem import find_files from .piano_roll import (roll_encode, roll_decode, get_roll_index, roll_subsample) from .metrics import calc_stats, calc_metrics, metrics_empty_dict from .loggers import write_metrics, write_images, write_audio from .renderers import (plot_eval, plot_estim, plot_certainty, roll2audio) from .settings import Trainer, save_run_config, flush_n_close

48

66

0.752315

57

432

5.333333

0.614035

0

0.002882

0.196759

432

8

67

54

0.873199

0

1

0

true

0

0.75

0

0.75

0

null

0

1

0

null

0

1

0

1

0

3

afb4af796d3153f5268afde708ea154d16c82d06

773

py

Python

source/code_decode.py

IskatelApelsinov/PasswordManager-Sneaky-Pass

6bc56d4cbccd3eb84a0cacbede97f16f317d1954

[ "Unlicense" ]

null

source/code_decode.py

IskatelApelsinov/PasswordManager-Sneaky-Pass

6bc56d4cbccd3eb84a0cacbede97f16f317d1954

[ "Unlicense" ]

null

source/code_decode.py

IskatelApelsinov/PasswordManager-Sneaky-Pass

6bc56d4cbccd3eb84a0cacbede97f16f317d1954

[ "Unlicense" ]

null

import hashlib import os class Cripta(object): def __init__(self): #mchs_project super(Cripta, self).__init__() def shifr_salt(self, passwd): # Add a user salt = '' # for letter in username: # salt += str(ord(letter)) # print(salt) # salt = hex(int(salt)) # print(salt) # salt = os.urandom(32) # print(salt) salt = passwd.encode(encoding='utf-8') #print(salt) key = hashlib.pbkdf2_hmac('sha256', passwd.encode('utf-8'), salt, 100000) #print(key) return key def hasher(self, passwd): salt = passwd.encode(encoding='utf-8') key = hashlib.sha1(salt).hexdigest() return key

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773

4.517241

0.482759

0.091603

0.099237

0.122137

0.142494

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773

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24.935484

0.750996

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0

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false

0.357143

0.142857

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null

0

null

0

1

0

1

0

1

0

3

afc81ec22fd48fc4ebb5c1c12e9dafac91ea5c13

76

py

Python

coding/unique_paths/starter.py

alexanderywang/tech-interview-questions

a0098eda33db73d10787e198d1f105532ea32c09

[ "MIT" ]

null

coding/unique_paths/starter.py

alexanderywang/tech-interview-questions

a0098eda33db73d10787e198d1f105532ea32c09

[ "MIT" ]

null

coding/unique_paths/starter.py

alexanderywang/tech-interview-questions

a0098eda33db73d10787e198d1f105532ea32c09

[ "MIT" ]

null

class Solution: def distinctPaths(self, m: int, n: int) -> int:

25.333333

51

0.578947

10

76

4.4

0.8

0

0.289474

76

3

52

25.333333

0.814815

0

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1

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null

0

1

0

3

afd3c65838a96a24c94f5de67a01d5375d8075cf

312

py

Python

AutotestWebD/apps/myadmin/service/TeamPermissionRelationService.py

yangjourney/sosotest

2e88099a829749910ca325253c9b1a2e368d21a0

[ "MIT" ]

422

2019-08-18T05:04:20.000Z

2022-03-31T06:49:19.000Z

AutotestWebD/apps/myadmin/service/TeamPermissionRelationService.py

LinSongJian1985/sosotest

091863dee531b5726650bb63efd6f169267cbeb4

[ "MIT" ]

10

2019-10-24T09:55:38.000Z

2021-09-29T17:28:43.000Z

AutotestWebD/apps/myadmin/service/TeamPermissionRelationService.py

LinSongJian1985/sosotest

091863dee531b5726650bb63efd6f169267cbeb4

[ "MIT" ]

202

2019-08-18T05:04:27.000Z

2022-03-30T05:57:18.000Z

from all_models.models import TbAdminTeamPermissionRelation class TeamPermissionRelationService(object): @staticmethod def updateTeamPermission(teamPermissionData): tbModel = TbAdminTeamPermissionRelation.objects.filter(id=teamPermissionData["id"]) tbModel.update(**teamPermissionData)

34.666667

91

0.801282

23

312

10.826087

0.73913

0

0.125

312

8

92

39

0.912088

0

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0

1

null

0

1

0

null

0

3

bb60899abe1223f0e1df35b8e83211f95e7cc02e

6,924

py

Python

madpy/tests/test_checks.py

seismomomo/madpy

ab2ce2a94e189e03fcbd2c79d578480c6a3a5025

[ "MIT" ]

1

2021-10-30T23:29:05.000Z

madpy/tests/test_checks.py

seismomomo/madpy

ab2ce2a94e189e03fcbd2c79d578480c6a3a5025

[ "MIT" ]

null

madpy/tests/test_checks.py

seismomomo/madpy

ab2ce2a94e189e03fcbd2c79d578480c6a3a5025

[ "MIT" ]

null

import obspy import unittest import numpy as np import madpy.checks as ch import madpy.tests.testdata.config as cfg class TestChecks(unittest.TestCase): def test_check_config(self): class Measurements: pass self.assertRaises(AttributeError, ch.check_config, Measurements()) self.assertIsNone(ch.check_config(cfg.Amplitude())) cfg.Amplitude.noise_phase = 'Pn' self.assertRaises(AssertionError, ch.check_config, cfg.Amplitude()) cfg.Amplitude.noise_phase = 'P' cfg.Amplitude.amp_factor = -2. self.assertRaises(AssertionError, ch.check_config, cfg.Amplitude()) cfg.Amplitude.plot = 'Yes' self.assertRaises(AssertionError, ch.check_config, cfg.Amplitude()) cfg.Amplitude.plot = False cfg.Amplitude.signal_window_begin = 50. self.assertRaises(AssertionError, ch.check_config, cfg.Amplitude()) cfg.Amplitude.signal_window_begin = -1 cfg.Amplitude.save_figure = True self.assertRaises(AssertionError, ch.check_config, cfg.Amplitude()) cfg.Amplitude.save_figure = False self.assertIsNone(ch.check_config(cfg.Duration())) cfg.Duration.signal_phase = 'Sg' self.assertRaises(AssertionError, ch.check_config, cfg.Duration()) cfg.Duration.signal_phase = 'S' cfg.Duration.moving_average_window = -2 self.assertRaises(AssertionError, ch.check_config, cfg.Duration()) cfg.moving_average_window = 2 cfg.threshold_type = 'pre-p noise' self.assertRaises(AssertionError, ch.check_config, cfg.Duration()) cfg.threshold_type = 'noise' cfg.plot = True cfg.save_figure = True cfg.figure_path = '' self.assertRaises(AssertionError, ch.check_config, cfg.Duration()) cfg.plot = False cfg.save_figure = False def test_check_waveform(self): st = obspy.read('testdata/*.mseed') for tr in st: tr.stats.o = obspy.UTCDateTime('2020-10-10T13:05:00.00') tr.stats.p = 10. self.assertRaises(AttributeError, ch.check_config, tr) tr.stats.s = 20. self.assertIsNone(ch.check_stats(tr)) tr.stats.o = '2020-10-10T13:05:00.00' self.assertRaises(AssertionError, ch.check_stats, tr) tr.stats.o = obspy.UTCDateTime('2020-10-10T13:05:00.00') def test_check_datagaps(self): st = obspy.read('testdata/*.mseed') for tr in st: self.assertIsNone(ch.check_datagaps(tr)) n = int(len(tr.data) * 0.25) tr.data = tr.data[0:n] self.assertRaises(AssertionError, ch.check_datagaps, tr) def test_check_window(self): st = obspy.read('testdata/*.mseed') for tr in st: starttime = obspy.UTCDateTime('2020-10-10T13:05:00.00') endtime = obspy.UTCDateTime('2020-10-10T13:07:00.00') self.assertIsNone(ch.check_window(tr, starttime, endtime)) starttime = obspy.UTCDateTime('2020-10-10T13:04:00.00') self.assertRaises(AssertionError, ch.check_window, tr, starttime, endtime) endtime = obspy.UTCDateTime('2020-10-10T13:08:00.00') self.assertRaises(AssertionError, ch.check_window, tr, starttime, endtime) def test_check_amplitude(self): self.assertIsNone(ch.check_amplitude(0.5)) self.assertRaises(ValueError, ch.check_amplitude, np.nan) self.assertRaises(ValueError, ch.check_amplitude, np.inf) self.assertRaises(ValueError, ch.check_amplitude, -np.inf) self.assertRaises(ValueError, ch.check_amplitude, -0.5) self.assertRaises(ValueError, ch.check_amplitude, None) self.assertRaises(ValueError, ch.check_amplitude, True) self.assertRaises(ValueError, ch.check_amplitude, {'test': 'dict'}) self.assertRaises(ValueError, ch.check_amplitude, ['list', 5]) def test_check_fitting_window_end(self): i_max0 = 20000 i_end0 = np.arange(500, 5005) dt = 0.01 sp = 10 self.assertIsNone(ch.check_fitting_window_end(i_end0, i_max0, dt, sp)) i_end1 = [] self.assertRaises(AssertionError, ch.check_fitting_window_end, i_end1, i_max0, dt, sp) i_max1 = 2 self.assertRaises(AssertionError, ch.check_fitting_window_end, i_end0, i_max1, dt, sp) def test_check_plottype(self): self.assertIsNone(ch.check_plottype('linear')) self.assertIsNone(ch.check_plottype('log')) self.assertRaises(AssertionError, ch.check_plottype, 2) self.assertRaises(AssertionError, ch.check_plottype, 'fourier') def test_check_duration_index(self): cross = np.arange(0, 10, dtype=float) self.assertIsNone(ch.check_duration_index(cross)) self.assertRaises(AssertionError, ch.check_duration_index, []) def test_check_cc(self): cc = np.array([ [0.1, 0.8, 0.5, 0.9], [0.9, 0.1, 0.8, 0.5], [0.5, 0.9, 0.1, 0.8], [0.8, 0.5, 0.9, 0.1] ]) self.assertIsNone(ch.check_cc(cc, 1, 2)) self.assertRaises(AssertionError, ch.check_cc, cc.astype(int), 1, 2) self.assertRaises(AssertionError, ch.check_cc, cc[0:3, :], 1, 2) self.assertRaises(AssertionError, ch.check_cc, cc[:, 0:3], 1, 2) cc[1, 2] = np.nan self.assertRaises(AssertionError, ch.check_cc, cc, 1, 2) cc[1, 2] = np.inf self.assertRaises(AssertionError, ch.check_cc, cc, 1, 2) cc[1, 2] = -np.inf self.assertRaises(AssertionError, ch.check_cc, cc, 1, 2) cc[1, 2] = 0 self.assertRaises(AssertionError, ch.check_cc, cc, 1, 2) cc[1, 2] = -10 self.assertRaises(AssertionError, ch.check_cc, cc, 1, 2) cc[1, 2] = 25 self.assertRaises(AssertionError, ch.check_cc, cc, 1, 2) def test_check_coda(self): x0 = np.arange(0, 100) y0 = np.arange(0, 100) x1 = np.arange(0, 100, dtype=float) y1 = np.arange(0, 100, dtype=float) self.assertRaises(AssertionError, ch.check_coda, x0, y1) self.assertRaises(AssertionError, ch.check_coda, x1, y0) self.assertRaises(AssertionError, ch.check_coda, x0, y0) x2, y2 = ch.check_coda(x1, y1) self.assertEqual(len(x2), 100) self.assertEqual(len(y2), 100) x2[5:10] = np.nan self.assertRaises(AssertionError, ch.check_coda, x2, y1) y2[60:72] = np.nan x3, y3 = ch.check_coda(x1, y2) self.assertEqual(len(x3), 88) self.assertEqual(len(y3), 88) if __name__ == '__main__': unittest.main()

40.023121

94

0.612218

878

6,924

4.687927

0.15262

0.091837

0.225948

0.241011

0.708212

0.653547

0.508017

0.450923

0.434159

0.301992

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6,924

173

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40.023121

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1

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0.007194

0.035971

0

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0

null

0

1

0

null

0

1

0

3

bb71fecd02bd2d157d2d49ff64e1f7291efdb92b

235

py

Python

ftdnn/__init__.py

kwasnydam/Factorized-TDNN

2535648d9c922680d026d3a998e4a457f98cb875

[ "MIT" ]

null

ftdnn/__init__.py

kwasnydam/Factorized-TDNN

2535648d9c922680d026d3a998e4a457f98cb875

[ "MIT" ]

null

ftdnn/__init__.py

kwasnydam/Factorized-TDNN

2535648d9c922680d026d3a998e4a457f98cb875

[ "MIT" ]

null

from .models import FTDNN, TDNN, DenseReLU, DenseSigmoid, DenseSoftmax, TDNNAgePaper, DenseLogits __all__ = [ 'FTDNN', 'DenseReLU', 'DenseSigmoid', 'DenseSoftmax', 'TDNN', 'TDNNAgePaper', 'DenseLogits' ]

21.363636

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0.651064

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8.277778

0.611111

0.281879

0.442953

0

0.221277

235

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21.363636

0.814208

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0.1

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1

0

null

1

0

null

0

3

bb74687b23c6ee042f7e8cb1c177ead4575661a9

371

py

Python

feincms/module/medialibrary/__init__.py

mjl/feincms

fe147ec0fcf779f812e35a31f30ee29ccd7088fd

[ "BSD-3-Clause" ]

null

feincms/module/medialibrary/__init__.py

mjl/feincms

fe147ec0fcf779f812e35a31f30ee29ccd7088fd

[ "BSD-3-Clause" ]

null

feincms/module/medialibrary/__init__.py

mjl/feincms

fe147ec0fcf779f812e35a31f30ee29ccd7088fd

[ "BSD-3-Clause" ]

null

# ------------------------------------------------------------------------ # ------------------------------------------------------------------------ import logging # ------------------------------------------------------------------------ logger = logging.getLogger("feincms.medialibrary") # ------------------------------------------------------------------------

30.916667

74

0.145553

7

371

7.714286

0.857143

0

0.048518

371

11

75

33.727273

0.152975

0.784367

0

0.266667

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null

0

1

0

null

0

1

0

3

bb99543812de0b5b968715ed5c363ddf0ff3757a

560

py

Python

src/pyrin/database/orm/query/exceptions.py

wilsonGmn/pyrin

25dbe3ce17e80a43eee7cfc7140b4c268a6948e0

[ "BSD-3-Clause" ]

null

src/pyrin/database/orm/query/exceptions.py

wilsonGmn/pyrin

25dbe3ce17e80a43eee7cfc7140b4c268a6948e0

[ "BSD-3-Clause" ]

null

src/pyrin/database/orm/query/exceptions.py

wilsonGmn/pyrin

25dbe3ce17e80a43eee7cfc7140b4c268a6948e0

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- """ orm query exceptions module. """ from pyrin.core.exceptions import CoreException class ORMQueryException(CoreException): """ orm query exception. """ pass class ORMQueryBusinessException(ORMQueryException): """ orm query business exception. """ pass class ColumnsOutOfScopeError(ORMQueryBusinessException): """ columns out of scope error. """ pass class EfficientCountIsNotPossibleError(ORMQueryException): """ efficient count is not possible error. """ pass

16

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0.671429

47

560

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0.638298

0.06383

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0

0.002304

0.225

560

34

59

16.470588

0.864055

0.301786

0

0.444444

0

1

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true

0.444444

0.111111

0

0.555556

0

null

0

null

0

1

0

1

0

3

bba61ab8446599a99d677f4df7adb9557f265f62

1,664

py

Python

source/miniworldmaker/__init__.py

teerasanqq/miniworldmaker

6cb7394ff615763ab71194e8e5626ac6989b337e

[ "MIT" ]

null

source/miniworldmaker/__init__.py

teerasanqq/miniworldmaker

6cb7394ff615763ab71194e8e5626ac6989b337e

[ "MIT" ]

null

source/miniworldmaker/__init__.py

teerasanqq/miniworldmaker

6cb7394ff615763ab71194e8e5626ac6989b337e

[ "MIT" ]

null

import miniworldmaker.tokens.token import miniworldmaker.tokens.actor from miniworldmaker.tokens import token import miniworldmaker.containers.container as container import miniworldmaker.windows.miniworldwindow as window import miniworldmaker.tools.db_manager as db_manager from miniworldmaker import boards from miniworldmaker.tokens.token import Token from miniworldmaker.tokens.actor import Actor from miniworldmaker.boards.tiled_board import TiledBoard from miniworldmaker.boards.pixel_board import PixelBoard from miniworldmaker.boards.board import Board from miniworldmaker.containers.toolbar import Toolbar from miniworldmaker.containers.event_console import EventConsole from miniworldmaker.containers.select_token_type_toolbar import SelectTokenTypeToolbar from miniworldmaker.containers.console import Console from miniworldmaker.containers.color_console import ColorConsole from miniworldmaker.containers.actionbar import ActionBar from miniworldmaker.containers.toolbar_widgets import * from miniworldmaker.containers.active_actor_toolbar import ActiveActorToolbar from miniworldmaker.boards.board_position import BoardPosition __all__ = ['Token', 'Actor', 'TiledBoard', 'SelectTokenTypeToolbar', 'PixelBoard', 'Toolbar', 'Board', 'ToolbarLabel', 'ToolbarButton', 'SaveButton', 'LoadButton', 'Console', 'EventConsole', 'ActionBar', 'ActiveActorToolbar', 'ColorConsole', 'BoardPosition', 'CounterLabel', 'TimeLabel', 'FPSLabel', ]

37.818182

86

0.743389

152

1,664

8.026316

0.289474

0.236066

0.183607

0.05082

0

0.194712

1,664

43

87

38.697674

0.910448

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null

1

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null

0

1

0

3

bbb7455ae74ab825994938ff02b97b364cef5117

35

py

Python

ezored/app/__init__.py

archive-repository/ezored-udemy

87d8120cf3a81e204daa1fad6036deec82f85789

[ "MIT" ]

null

ezored/app/__init__.py

archive-repository/ezored-udemy

87d8120cf3a81e204daa1fad6036deec82f85789

[ "MIT" ]

null

ezored/app/__init__.py

archive-repository/ezored-udemy

87d8120cf3a81e204daa1fad6036deec82f85789

[ "MIT" ]

null

"""modules""" __all__ = ["const"]

8.75

19

0.542857

3

35

5

1

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0.142857

35

3

20

11.666667

0.5

0.2

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0.227273

0

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false

0

1

0

null

0

1

0

null

0

3

bbcad3fcaa1f45d6f2504ab61c0dc1af14087674

105

py

Python

np/reference/ch7code/bessel0.py

focusunsink/study_python

322326642db54df8725793d70a95d21ac40b6507

[ "MIT" ]

null

np/reference/ch7code/bessel0.py

focusunsink/study_python

322326642db54df8725793d70a95d21ac40b6507

[ "MIT" ]

null

np/reference/ch7code/bessel0.py

focusunsink/study_python

322326642db54df8725793d70a95d21ac40b6507

[ "MIT" ]

null

import numpy as np from pylab import * x = np.linspace(0, 4, 100) vals = np.i0(x) plot(x, vals) show()

11.666667

26

0.647619

21

105

3.238095

0.714286

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0.2

105

8

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false

0

0.333333

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0.333333

0

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null

0

1

0

null

0

1

0

3

bbda7818d35b52798b4e5b16fd0ae9cf7f60df9d

138

py

Python

dashboard/__init__.py

R-Ramachandran/Impact-of-taxation-on-Indian-economy

13343571dda376cddfd41ab32ae6a61660ec8c9c

[ "MIT" ]

null

dashboard/__init__.py

R-Ramachandran/Impact-of-taxation-on-Indian-economy

13343571dda376cddfd41ab32ae6a61660ec8c9c

[ "MIT" ]

null

dashboard/__init__.py

R-Ramachandran/Impact-of-taxation-on-Indian-economy

13343571dda376cddfd41ab32ae6a61660ec8c9c

[ "MIT" ]

null

from flask import Flask app = Flask(__name__) app.config['SECRET_KEY'] = 'fac5f35dc32ba113029dad3eb831d7d1' from dashboard import routes

23

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0.811594

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null

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1

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3

bbdf74abfbbfa35507d593cabf4c7b7793230e56

183

py

Python

check_path.py

ShaneKilloran/ChessEngine

b567be76fed706e314ab320b9f4033157f6afb42

[ "MIT" ]

null

check_path.py

ShaneKilloran/ChessEngine

b567be76fed706e314ab320b9f4033157f6afb42

[ "MIT" ]

null

check_path.py

ShaneKilloran/ChessEngine

b567be76fed706e314ab320b9f4033157f6afb42

[ "MIT" ]

null

import pickle import utils from MiniMax import MiniMax from Node import Node pickle_in = open("root.pickle","rb") root = pickle.load(pickle_in) mm = MiniMax(root) mm.minimax(root)

15.25

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null

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3

bbfe56e6d05c8bde9598bce8a50ff412615aace3

922

py

Python

agent/indy_catalyst_agent/messaging/proofs/messages/proof_request.py

TelegramSam/indy-catalyst

476f5a773d90d8b50960b49e63b823bd13325d4a

[ "Apache-2.0" ]

null

agent/indy_catalyst_agent/messaging/proofs/messages/proof_request.py

TelegramSam/indy-catalyst

476f5a773d90d8b50960b49e63b823bd13325d4a

[ "Apache-2.0" ]

null

agent/indy_catalyst_agent/messaging/proofs/messages/proof_request.py

TelegramSam/indy-catalyst

476f5a773d90d8b50960b49e63b823bd13325d4a

[ "Apache-2.0" ]

null

""" A proof request content message. """ from marshmallow import Schema, fields, post_load from ...agent_message import AgentMessage from ...message_types import MessageTypes class ProofRequest(AgentMessage): def __init__(self, proof_request_json: str): self.proof_request_json = proof_request_json @property # Avoid clobbering builtin property def _type(self): return MessageTypes.PROOF_REQUEST.value @classmethod def deserialize(cls, obj): return ProofRequestSchema().load(obj) def serialize(self): return ProofRequestSchema().dump(self) class ProofRequestSchema(Schema): # Avoid clobbering builtin property _type = fields.Str(data_key="@type", required=True) proof_request_json = fields.Str(required=True) @post_load def make_model(self, data: dict) -> ProofRequest: del data["_type"] return ProofRequest(**data)

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105

922

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0.196312

922

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56

25.611111

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false

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0

null

0

null

0

1

0

1

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3

a541057d244d64d3694cd35ba9caca50a4f9b806

69

py

Python

rating/__init__.py

LinuxOSsk/Shakal-NG

c4091c7972cffd86f64aa9f9a058d2907a56e5eb

[ "MIT" ]

10

2016-02-06T15:40:30.000Z

2018-09-27T15:15:13.000Z

rating/__init__.py

LinuxOSsk/Shakal-NG

c4091c7972cffd86f64aa9f9a058d2907a56e5eb

[ "MIT" ]

94

2016-02-04T18:39:36.000Z

2022-01-20T05:25:00.000Z

rating/__init__.py

LinuxOSsk/Shakal-NG

c4091c7972cffd86f64aa9f9a058d2907a56e5eb

[ "MIT" ]

8

2016-05-10T20:29:53.000Z

2021-02-07T00:50:31.000Z

# -*- coding: utf-8 -*- default_app_config = 'rating.apps.AppConfig'

23

44

0.681159

9

69

5

1

0

0.016393

0.115942

69

2

45

34.5

0.721311

0.304348

0

0.456522

0

1

0

false

0

1

0

null

0

1

0

1

null

0

3

a5619426eab7a73e3013ce01f973639b1c943c08

101

py

Python

python/euler28.py

zhouxiumin/projecteuler

1db55ab1876f61c1978d2f0b5bfc476f68276e77

[ "Apache-2.0" ]

null

python/euler28.py

zhouxiumin/projecteuler

1db55ab1876f61c1978d2f0b5bfc476f68276e77

[ "Apache-2.0" ]

null

python/euler28.py

zhouxiumin/projecteuler

1db55ab1876f61c1978d2f0b5bfc476f68276e77

[ "Apache-2.0" ]

null

#coding=utf-8 length=1001+1 result=1 for t in range(3,length,2): result+=4*t*t-6*t+6 print result

11.222222

27

0.693069

24

101

2.916667

0.666667

0.057143

0

0.136364

0.128713

101

8

28

12.625

0.659091

0.118812

0

null

0

null

0.2

1

0

null

0

1

0

null

0

1

0

3

a56bb00d97b0ff0179aa14c9b3bb9611ac222b49

154

py

Python

homeassistant/components/trend/__init__.py

MrDelik/core

93a66cc357b226389967668441000498a10453bb

[ "Apache-2.0" ]

30,023

2016-04-13T10:17:53.000Z

2020-03-02T12:56:31.000Z

homeassistant/components/trend/__init__.py

MrDelik/core

93a66cc357b226389967668441000498a10453bb

[ "Apache-2.0" ]

31,101

2020-03-02T13:00:16.000Z

2022-03-31T23:57:36.000Z

homeassistant/components/trend/__init__.py

MrDelik/core

93a66cc357b226389967668441000498a10453bb

[ "Apache-2.0" ]

11,956

2016-04-13T18:42:31.000Z

2020-03-02T09:32:12.000Z

"""A sensor that monitors trends in other components.""" from homeassistant.const import Platform DOMAIN = "trend" PLATFORMS = [Platform.BINARY_SENSOR]

22

56

0.772727

19

154

6.210526

0.894737

0

0.12987

154

6

57

25.666667

0.880597

0.324675

0

0.05102

0

1

0

false

0

0.333333

0

0.333333

0

1

0

null

0

1

0

null

0

1

0

3

3c02c391180a32f0d05d6f333a07e4fc434b7827

727

py

Python

Aula35/controller/frameworkfe_controller.py

marcelabbc07/TrabalhosPython

91734d13110e4dee12a532dfd7091e36394a6449

[ "MIT" ]

null

Aula35/controller/frameworkfe_controller.py

marcelabbc07/TrabalhosPython

91734d13110e4dee12a532dfd7091e36394a6449

[ "MIT" ]

null

Aula35/controller/frameworkfe_controller.py

marcelabbc07/TrabalhosPython

91734d13110e4dee12a532dfd7091e36394a6449

[ "MIT" ]

null

from dao.squad_dao import SquadDao from model.squad import Squad from controller.squad_controller import SquadController class FrameworkFrontEndController: dao=FrameworkFrontEndDao() squad_controller=SquadController() def listar_todos(self): return self.dao.listar_todos() def buscar_por_id(self,id): return self.dao.buscar_por_id(id) def salvar(self,frameworkfrontend:FrameworkFrontEnd): frameworkfrontend.squad.id=self.squad_controller.salvar(squad.frameworkfrontend) return self.dao.salvar(frameworkfrontend) def alterar(self,frameworkfrontend:FrameworkFrontEnd): self.dao.alterar(frameworkfrontend) def deletar(self,id): self.dao.deletar(id)

31.608696

88

0.759285

82

727

6.609756

0.280488

0.064576

0.071956

0

0.15956

727

23

89

31.608696

0.88707

0

1

0.294118

false

0

0.176471

0.117647

0.823529

0

null

0

null

0

1

0

1

0

3

3c1027f6641f4a0a25c05bcbccfd842f58cb8a2f

376

py

Python

basic_input.py

Wrbrgrgl/python-with-dad

7fbb5811c2ce217f085943acb298b9fffb6850a5

[ "BSD-2-Clause" ]

null

basic_input.py

Wrbrgrgl/python-with-dad

7fbb5811c2ce217f085943acb298b9fffb6850a5

[ "BSD-2-Clause" ]

null

basic_input.py

Wrbrgrgl/python-with-dad

7fbb5811c2ce217f085943acb298b9fffb6850a5

[ "BSD-2-Clause" ]

null

#!python """ playing with some basic inut and output """ import sys # arguments = set(sys.argv) # print "Passed in {} arguments, with {} unique ones, they are :".format(len(sys.argv)), len(arguments)) my_peoples = set() print "Passed in {} arguments, they are:".format(len(sys.argv) - 1) for arg in xrange(1, len(sys.argv)): arguments.add(sys.argv[arg]) print arguments

28.923077

104

0.68617

58

376

4.431034

0.5

0.136187

0.116732

0.171206

0.178988

0

0.00625

0.148936

376

12

105

31.333333

0.796875

0.361702

0

0.173684

0

null

0.166667

null

0.333333

0

null

0

1

0

null

0

1

0

1

0

3

3c2197f5a51a7e675848cc56f6cdab7aed5d568a

199

py

Python

chapter2/wok/master/wok/core/cmd/constants.py

chris-zen/phd-thesis

1eefdff8e7ca1910304e27ae42551dc64496b101

[ "Unlicense" ]

1

2015-12-22T00:53:18.000Z

chapter2/wok/master/wok/core/cmd/constants.py

chris-zen/phd-thesis

1eefdff8e7ca1910304e27ae42551dc64496b101

[ "Unlicense" ]

null

chapter2/wok/master/wok/core/cmd/constants.py

chris-zen/phd-thesis

1eefdff8e7ca1910304e27ae42551dc64496b101

[ "Unlicense" ]

null

# Environment variables ENV_PROJECT_PATH = "PROJECT_PATH" ENV_FLOW_PATH = "FLOW_PATH" ENV_SCRIPT_PATH = "SCRIPT_PATH" ENV_PLATFORM_SCRIPT_PATH = "PLATFORM_SCRIPT_PATH" # Contexts CTX_EXEC = "exec"

19.9

49

0.80402

28

199

5.178571

0.392857

0.275862

0.248276

0

0.110553

199

10

50

19.9

0.819209

0.150754

0

0.335329

0

1

0

false

0

1

0

null

1

0

null

0

3

3c5e1fa56ce2a4427b8f2fd88cbd54aa530e4f3c

302

py

Python

moneyland/settings_prod.py

namlook/moneyland

ca9a4b8adba4e27b3ac275cd5ba6727c73805ff4

[ "MIT" ]

1

2016-06-29T20:31:50.000Z

moneyland/settings_prod.py

namlook/moneyland

ca9a4b8adba4e27b3ac275cd5ba6727c73805ff4

[ "MIT" ]

null

moneyland/settings_prod.py

namlook/moneyland

ca9a4b8adba4e27b3ac275cd5ba6727c73805ff4

[ "MIT" ]

null

from .settings import * DEBUG = False ALLOWED_HOSTS = ["*"] STATIC_ROOT = "/home/moneyland/moneyland/public" STATICFILES_STORAGE = 'pipeline.storage.PipelineStorage' PIPELINE['CSS_COMPRESSOR'] = 'pipeline.compressors.NoopCompressor' PIPELINE['JS_COMPRESSOR'] = 'pipeline.compressors.NoopCompressor'

27.454545

66

0.788079

30

302

7.766667

0.7

0.154506

0.248927

0.369099

0

0.082781

302

10

67

30.2

0.841155

0

0.536424

0.443709

0

1

0

false

0

0.142857

0

0.142857

0

null

0

1

0

1

null

0

3

3c6135d517b54629430a1001d46799559b1fb309

195

py

Python

backend_final/apartacho/properties/apps.py

cenavia/skylynx

6286294a8cd57279e3c176d8fcae656cef4b40a8

[ "MIT" ]

3

2020-04-29T18:07:40.000Z

2020-05-20T20:52:52.000Z

backend_final/apartacho/properties/apps.py

cenavia/Apartacho

6286294a8cd57279e3c176d8fcae656cef4b40a8

[ "MIT" ]

53

2020-05-13T03:27:41.000Z

2022-03-12T00:32:46.000Z

backend_final/apartacho/properties/apps.py

cenavia/Apartacho

6286294a8cd57279e3c176d8fcae656cef4b40a8

[ "MIT" ]

2

2020-05-16T05:34:45.000Z

2020-06-11T14:47:50.000Z

from django.apps import AppConfig from django.utils.translation import gettext_lazy as _ class PropertiesConfig(AppConfig): name = 'apartacho.properties' verbose_name = _("Properties")

24.375

54

0.779487

22

195

6.727273

0.727273

0.135135

0

0.14359

195

7

55

27.857143

0.886228

0

0.153846

0

1

0

false

0

0.4

0

1

0

1

0

null

0

1

0

null

0

1

0

3

3c6941b72937010bb0203492bfbb49a2882c7ceb

188

py

Python

Advance_Python/Class_&_Objects/constructor_overriding.py

siddharth-143/Python

293f4643a3a13e3b82d23fd8922db54dbb0f12bc

[ "MIT" ]

null

Advance_Python/Class_&_Objects/constructor_overriding.py

siddharth-143/Python

293f4643a3a13e3b82d23fd8922db54dbb0f12bc

[ "MIT" ]

null

Advance_Python/Class_&_Objects/constructor_overriding.py

siddharth-143/Python

293f4643a3a13e3b82d23fd8922db54dbb0f12bc

[ "MIT" ]

null

class A: def __init__(self): print('base class constructor ') class B(A): def __init__(self): super().__init__() print('child class constructor ') b1=B()

17.090909

41

0.585106

23

188

4.26087

0.521739

0.081633

0.163265

0.244898

0

0.007353

0.276596

188

10

42

18.8

0.713235

0

0.25

0

0.25

0

1

0.25

false

0

0.5

0.25

1

0

null

0

1

0

null

0

1

0

3

3c6edc503a8ea317294756a0afbef9c1fdf9cbd9

673

py

Python

nmrtools/__init__.py

bjrnfrdnnd/panel-test

4609a259e749825b2a2012d8a7e48ed8e8a78deb

[ "MIT" ]

null

nmrtools/__init__.py

bjrnfrdnnd/panel-test

4609a259e749825b2a2012d8a7e48ed8e8a78deb

[ "MIT" ]

1

2019-07-26T22:12:19.000Z

2019-10-31T17:48:51.000Z

nmrtools/__init__.py

bjrnfrdnnd/panel-test

4609a259e749825b2a2012d8a7e48ed8e8a78deb

[ "MIT" ]

1

2019-09-19T11:54:45.000Z

""" nmrtools ======== The nmrtools package provides tools for simulating nuclear magnetic resonance (NMR) spectra. The API is still in flux. Currently, it includes the following modules: * dnmr: for modeling Dynamic NMR systems * firstorder: for modeling first-order spectra * math: core math routines for handling NMR data * partial: uses non-quantum-mechanical solutions for common second-order NMR patterns * plt: convenience plotting routines for NMR results * qm: quantum-mechanical second-order simulation of spin systems (currently capped at 11 nuclei) Currently, only spin-1/2 nuclei are accommodated. """ from ._classes import Multiplet, SpinSystem, Spectrum

29.26087

77

0.784547

92

673

5.728261

0.717391

0.041746

0

0.006957

0.145617

673

22

78

30.590909

0.909565

0.904903

0

1

0

true

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

3

3c72d74fb15907413ad18b4d74a39b572390d6fc

901

py

Python

foil/patterns.py

portfoliome/foil

b66d8cf4ab048a387d8c7a033b47e922ed6917d6

[ "MIT" ]

30

2016-10-03T04:04:26.000Z

2021-03-16T17:40:11.000Z

foil/patterns.py

portfoliome/foil

b66d8cf4ab048a387d8c7a033b47e922ed6917d6

[ "MIT" ]

11

2017-01-01T17:49:51.000Z

2017-12-14T18:13:20.000Z

foil/patterns.py

portfoliome/foil

b66d8cf4ab048a387d8c7a033b47e922ed6917d6

[ "MIT" ]

null

""" Pattern matching utilities. """ import re from functools import wraps from typing import Iterable def match_subgroup(sequence, pattern): """Yield the sub-group element dictionary that match a regex pattern.""" for element in sequence: match = re.match(pattern, element) if match: yield match.groupdict() def match_group(choices: Iterable) -> str: return '|'.join(choices) def add_regex_start_end(pattern_function): """Decorator for adding regex pattern start and end characters.""" @wraps(pattern_function) def func_wrapper(*args, **kwargs): return r'^{}$'.format(pattern_function(*args, **kwargs)) return func_wrapper def tokenize_group_pattern(name, choices): pattern = match_group(choices) return tokenize_pattern(name, pattern) def tokenize_pattern(name, pattern): return '(?P<%s>%s)' % (name, pattern)

22.525

76

0.692564

112

901

5.4375

0.4375

0.073892

0.055829

0.085386

0

0.193119

901

39

77

23.102564

0.837689

0.172031

0

0.020604

0

1

0.3

false

0

0.15

0.7

0

null

0

null

0

1

0

1

0

3

3c971030ca69928a207bdacfe2fe27f999cfb0b8

210

py

Python

sample_config.py

naushadzaman/CoinBaseBot

3cc97b98203770431ef0cb7b50f03c061184db5e

[ "Unlicense", "MIT" ]

null

sample_config.py

naushadzaman/CoinBaseBot

3cc97b98203770431ef0cb7b50f03c061184db5e

[ "Unlicense", "MIT" ]

null

sample_config.py

naushadzaman/CoinBaseBot

3cc97b98203770431ef0cb7b50f03c061184db5e

[ "Unlicense", "MIT" ]

null

config = { "coinbase":{ "Key": "", "Secret": "" }, "twilio":{ "Key": "", "Secret": "", "from": "+12223334444", "to_list": ["+12223334444"], }, "bittrex":{ "Key" : "", "Secret" : "" } }

12.352941

30

0.414286

15

210

5.733333

0.666667

0.313953

0

0.140127

0.252381

210

16

31

13.125

0.407643

0

0.3125

0

0.395238

0

1

0

false

0

1

0

null

1

0

1

0

null

0

3

b1c4bedd0d66ecc25e2cb93962b85bef017bbb0f

399

py

Python

ssm/simulation/sim_modules/noise.py

sflis/SSM-analysis

317db8b296fd189832b9344b0429ea6016e35999

[ "BSD-3-Clause" ]

null

ssm/simulation/sim_modules/noise.py

sflis/SSM-analysis

317db8b296fd189832b9344b0429ea6016e35999

[ "BSD-3-Clause" ]

7

2019-02-26T21:11:29.000Z

2019-09-08T09:48:13.000Z

ssm/simulation/sim_modules/noise.py

sflis/SSM-analysis

317db8b296fd189832b9344b0429ea6016e35999

[ "BSD-3-Clause" ]

1

2019-07-16T09:45:05.000Z

from ssm.core.pchain import ProcessingModule import numpy as np class Noise(ProcessingModule): def __init__(self, resp_key="response", name="Noise"): super().__init__(name) self.resp_key = resp_key def configure(self, config): pass def run(self, frame): frame[self.resp_key] += np.random.normal(scale=0.01 * frame[self.resp_key]) return frame

24.9375

83

0.66416

54

399

4.666667

0.555556

0.138889

0.174603

0.126984

0

0.009646

0.220551

399

15

84

26.6

0.800643

0

0.032581

0

1

0.272727

false

0.090909

0.181818

0

0.636364

0

null

0

null

0

1

0

1

0

1

0

3

591609290d555e45bb19aaafe9f75cabe9c52b31

501

py

Python

practice0/for_loops_examples.py

DeercoderPractice/python

4a32cc8922f47baea390e8167e34f185f67ae0fd

[ "MIT" ]

null

practice0/for_loops_examples.py

DeercoderPractice/python

4a32cc8922f47baea390e8167e34f185f67ae0fd

[ "MIT" ]

null

practice0/for_loops_examples.py

DeercoderPractice/python

4a32cc8922f47baea390e8167e34f185f67ae0fd

[ "MIT" ]

null

#! /usr/bin/python # Samples Python/PYgames # Print 'Hi' 10 times for i in range(10): print("Hi") for i in range(5): print("Hello") print ("There") for i in range(5): print("Hello") print("There") for i in range(10): print(i) for i in range(1, 11): print(i) for i in range(10, 0, -1): print(i) for i in [2, 6, 4, 2, 6, 7, 4]: print(i) for i in range(3): print("a") for j in range(3): print("b") a = 0 for i in range(10): a = a + 1 print(a)

13.540541

31

0.536926

97

501

2.773196

0.278351

0.133829

0.200743

0.327138

0.643123

0.542751

0.27881

0

0.077778

0.281437

501

36

32

13.916667

0.669444

0.11976

0

0.541667

0

0.054795

0

1

0

false

0

0.5

0

null

0

1

0

null

0

1

0

3

591d85cf3edfee7d97bb7765c5cc2a5cd2e2e2f2

93

py

Python

app.py

ron2618/ruangkomik

bccb09deebc1d4931a56699be59e9f83cc1b90b7

[ "MIT" ]

3

2020-06-28T14:05:38.000Z

2020-08-17T19:30:43.000Z

app.py

ron2618/ruangkomik

bccb09deebc1d4931a56699be59e9f83cc1b90b7

[ "MIT" ]

1

2020-08-17T15:25:25.000Z

2020-08-18T03:52:13.000Z

app.py

ron2618/ruangkomik

bccb09deebc1d4931a56699be59e9f83cc1b90b7

[ "MIT" ]

1

2021-01-30T08:56:28.000Z

from flask import Flask from lib.router import Router app = Flask(__name__) Router.run(app)

15.5

29

0.784946

15

93

4.6

0.533333

0

0.139785

93

6

30

15.5

0.8625

0

1

0

false

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

3

591e2a0f680014996ebaf54192117362ca418432

133

py

Python

django_oidc_user/apps.py

montudor/django-cross-project-tools

d02133f3947b5885ce340ff38846355bbc6dde15

[ "MIT" ]

7

2017-10-31T10:25:00.000Z

2020-04-02T05:53:27.000Z

django_oidc_user/apps.py

montudor/django-oidc-user

d02133f3947b5885ce340ff38846355bbc6dde15

[ "MIT" ]

null

django_oidc_user/apps.py

montudor/django-oidc-user

d02133f3947b5885ce340ff38846355bbc6dde15

[ "MIT" ]

null

from django.apps import AppConfig class DjangoOIDCUserConfig(AppConfig): name = 'django_oidc_user' verbose_name = 'User Accounts'

22.166667

38

0.804511

16

133

6.5

0.75

0

0.120301

133

5

39

26.6

0.888889

0

0.218045

0

1

0

false

0

0.25

0

1

0

1

0

null

0

1

0

null

0

1

0

3

59236e2fa5de2db6294e6866f2c37e40ca310446

358

py

Python

util.py

alspitz/esc_test

4078609e3a84923b9cdbfdea8daf9814364fa9c8

[ "MIT" ]

1

2021-12-28T08:38:04.000Z

util.py

alspitz/esc_test

4078609e3a84923b9cdbfdea8daf9814364fa9c8

[ "MIT" ]

null

util.py

alspitz/esc_test

4078609e3a84923b9cdbfdea8daf9814364fa9c8

[ "MIT" ]

null

import numpy as np def filter_nan(ts, vs): good_vs = np.logical_not(np.isnan(vs)) return ts[good_vs], vs[good_vs] def first_that(f, arr): for i, v in enumerate(arr): if f(v): return i return None def first_nonzero(arr): return first_that(lambda x: x, arr) def first_greater_than(val, arr): return first_that(lambda x: x > val, arr)

19.888889

43

0.684358

67

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44

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null

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null

0

1

0

1

0

3

3ca1bbb0b7d509f5bb818f9085d55cc21f39bd74

412

py

Python

accelerator/models/partner_application_interest.py

masschallenge/django-accelerator

8af898b574be3b8335edc8961924d1c6fa8b5fd5

[ "MIT" ]

6

2017-06-14T19:34:01.000Z

2020-03-08T07:16:59.000Z

accelerator/models/partner_application_interest.py

masschallenge/django-accelerator

8af898b574be3b8335edc8961924d1c6fa8b5fd5

[ "MIT" ]

160

2017-06-20T17:12:13.000Z

2022-03-30T13:53:12.000Z

accelerator/models/partner_application_interest.py

masschallenge/django-accelerator

8af898b574be3b8335edc8961924d1c6fa8b5fd5

[ "MIT" ]

null

# MIT License # Copyright (c) 2017 MassChallenge, Inc. import swapper from accelerator_abstract.models import BasePartnerApplicationInterest class PartnerApplicationInterest(BasePartnerApplicationInterest): class Meta(BasePartnerApplicationInterest.Meta): swappable = swapper.swappable_setting( BasePartnerApplicationInterest.Meta.app_label, "PartnerApplicationInterest")

29.428571

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0.788835

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0

0.011494

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412

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0.913793

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0

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null

1

0

null

0

1

0

3

3cb4bb3261a05b84d850e3c0087a7af38acc3a76

109

py

Python

ml_skeleton_py/model/__init__.py

ChaoYan/drl4rec

81aebc1598cc913a9512920422b3bb463762e003

[ "MIT" ]

92

2020-10-26T11:19:32.000Z

2022-03-18T02:14:59.000Z

ml_skeleton_py/model/__init__.py

ChaoYan/drl4rec

81aebc1598cc913a9512920422b3bb463762e003

[ "MIT" ]

3

2021-01-29T13:42:26.000Z

2022-02-15T09:29:12.000Z

ml_skeleton_py/model/__init__.py

ChaoYan/drl4rec

81aebc1598cc913a9512920422b3bb463762e003

[ "MIT" ]

12

2020-10-26T19:06:10.000Z

2022-03-18T04:14:17.000Z

"""Model package.""" from .train import train from .predict import predict __all__ = ["train", "predict"]

13.625

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109

5.461538

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0.155963

109

7

31

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0

0.134831

0

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false

0

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0.666667

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1

0

null

0

1

0

null

0

1

0

3

3cc28275a8c0417f440bf63626cdcaee1319a9a4

627

py

Python

explorebg/home/views.py

bvoytash/Quiz-Application

279a029b8e40513642bf002387f813d680a74ed7

[ "MIT" ]

null

explorebg/home/views.py

bvoytash/Quiz-Application

279a029b8e40513642bf002387f813d680a74ed7

[ "MIT" ]

null

explorebg/home/views.py

bvoytash/Quiz-Application

279a029b8e40513642bf002387f813d680a74ed7

[ "MIT" ]

null

from django.shortcuts import render from django.utils.decorators import method_decorator from django.views.decorators.cache import cache_page from django.views.generic import TemplateView # @method_decorator(cache_page(60 * 10), name='dispatch') class HomePageView(TemplateView): template_name = 'home/home.html' # @method_decorator(cache_page(60 * 10), name='dispatch') class CauseView(TemplateView): template_name = 'home/cause.html' def handler404(request, exception): return render(request, 'error_404.html', status=404) def handler500(request): return render(request, 'error_500.html', status=500)

27.26087

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0.773525

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627

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0.084211

0.063158

0.101053

0.189474

0

0.046931

0.116427

627

22

58

28.5

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0.177033

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0.111111

0

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0.166667

false

0

0.333333

0.166667

1

0

null

0

null

0

1

0

3

3cd33490215a7f535ad4cb98426cfc3398cf04ee

96

py

Python

Analysis/apps.py

psymen145/OVS-django-fe

1823e8b42c17276d6b50a63dddd9b04a21c2038c

[ "MIT" ]

null

Analysis/apps.py

psymen145/OVS-django-fe

1823e8b42c17276d6b50a63dddd9b04a21c2038c

[ "MIT" ]

null

Analysis/apps.py

psymen145/OVS-django-fe

1823e8b42c17276d6b50a63dddd9b04a21c2038c

[ "MIT" ]

null

from django.apps import AppConfig class AnalysisConfig(AppConfig): name = 'Analysis'

16

34

0.71875

10

96

6.9

0.9

0

0.208333

96

5

35

19.2

0.907895

0

0.087912

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

3

3cd5f61b0f8be2d614d0d38cddc9a51ae05a3286

139

py

Python

DiscordOAuth2/urls.py

IamEinstein/django-bank

16f98755787e18ecd9dee6783b0af26ca200446f

[ "MIT" ]

1

2021-04-22T17:20:44.000Z

DiscordOAuth2/urls.py

IamEinstein/django-bank

16f98755787e18ecd9dee6783b0af26ca200446f

[ "MIT" ]

27

2021-06-10T20:43:59.000Z

2022-03-28T11:41:30.000Z

DiscordOAuth2/urls.py

IamEinstein/djank

16f98755787e18ecd9dee6783b0af26ca200446f

[ "MIT" ]

null

from django.urls import path from .views import * app_name = "discord" urlpatterns = [ path('', LoginView.as_view(), name="verify") ]

17.375

48

0.683453

18

139

5.166667

0.777778

0

0.165468

139

7

49

19.857143

0.801724

0

0.093525

0

1

0

false

0

0.333333

0

0.333333

0

1

0

null

0

1

0

null

0

1

0

3

3cdc23ff096b142557213635989b59206252106f

181

py

Python

xcx_interface/route/menu_r.py

linjingheng-dev/python_service

c44d92a4c82f52228617dbabdbb1a57b6ad6de57

[ "Apache-2.0" ]

8

2021-08-08T07:47:31.000Z

2021-08-17T12:09:32.000Z

xcx_interface/route/menu_r.py

linjingheng-dev/python_service

c44d92a4c82f52228617dbabdbb1a57b6ad6de57

[ "Apache-2.0" ]

1

2021-07-31T10:16:19.000Z

xcx_interface/route/menu_r.py

linjingheng-dev/python_service

c44d92a4c82f52228617dbabdbb1a57b6ad6de57

[ "Apache-2.0" ]

1

2021-12-01T15:32:47.000Z

from django.urls import path from xcx_interface.controller.menu.menu_msg import getMenuList urlpatterns = [ # 获取菜单列表 path('getMenuList', getMenuList, name='getMenuList') ]

22.625

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0.666667

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181

7

63

25.857143

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0

0.127168

0

1

0

false

0

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0.4

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1

0

null

0

1

0

null

0

1

0

3

3cef09f2c093811f2f4d3ab07e418eda37b8fff5

22

py

Python

test/functional/ltm/__init__.py

yuanfm/f5-common-python

7d6588d56323e7065fec929ff00020081f9d6ade

[ "Apache-2.0" ]

null

test/functional/ltm/__init__.py

yuanfm/f5-common-python

7d6588d56323e7065fec929ff00020081f9d6ade

[ "Apache-2.0" ]

null

test/functional/ltm/__init__.py

yuanfm/f5-common-python

7d6588d56323e7065fec929ff00020081f9d6ade

[ "Apache-2.0" ]

null

__author__ = 'wormke'

11

21

0.727273

2

22

6

1

0

0.136364

22

1

22

0.631579

0

0.272727

0

1

0

false

0

1

0

null

0

1

0

null

0

3

a71cf960c806a5b6b0d80133279573354e781012

359

py

Python

devBlag/admin.py

tehsmeely/DjangaeScaffold

813be0971344744c54a7e923ab9bd9337f77d5f6

[ "Apache-2.0" ]

1

2015-05-10T12:25:31.000Z

devBlag/admin.py

tehsmeely/devBlag

813be0971344744c54a7e923ab9bd9337f77d5f6

[ "Apache-2.0" ]

null

devBlag/admin.py

tehsmeely/devBlag

813be0971344744c54a7e923ab9bd9337f77d5f6

[ "Apache-2.0" ]

null

from django.contrib import admin # Register your models here. from .models import \ Post, Resource_image, Resource_code, Resource_download, Project, Developer admin.site.register(Post) admin.site.register(Project) admin.site.register(Developer) admin.site.register(Resource_image) admin.site.register(Resource_code) admin.site.register(Resource_download)

23.933333

74

0.824513

48

359

6.041667

0.354167

0.186207

0.351724

0.258621

0

0.08078

359

14

75

25.642857

0.878788

0.072423

0

1

0

true

0

0.222222

0

0.222222

0

null

0

1

0

null

0

1

0

3

a727ca56bf40c197ae04014e5d4bef1acaf30dff

532

py

Python

eveonline-assistant/users/models.py

wengole/eveonline-assistant

35041952509bd347c5c9458630404726d7ddd5d8

[ "BSD-3-Clause" ]

1

2016-07-01T03:15:16.000Z

eveonline-assistant/users/models.py

wengole/eveonline-assistant

35041952509bd347c5c9458630404726d7ddd5d8

[ "BSD-3-Clause" ]

null

eveonline-assistant/users/models.py

wengole/eveonline-assistant

35041952509bd347c5c9458630404726d7ddd5d8

[ "BSD-3-Clause" ]

null

from django.contrib.auth.models import AbstractUser class User(AbstractUser): def has_apikeys(self): """ Does this user have an API Keys registered :return: :rtype: bool """ return self.api_keys.count() > 0 def has_disabled_characters(self): """ Does this user have characters that aren't yet added :return: :rtype: bool """ return self.characters.filter(enabled=False).count() > 0 def __unicode__(self): return self.username

23.130435

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0.612782

63

532

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0.587302

0.09434

0.075472

0.100629

0.283019

0

0.005305

0.291353

532

23

65

23.130435

0.838196

0.265038

0

1

0.375

false

0

0.125

1

0

null

0

null

0

1

0

1

0

3

5973d49f1ac676f5a0f3cab86d31c48bf08be908

1,794

py

Python

omsdk/http/sdkwsman.py

DanielFroehlich/omsdk

475d925e4033104957fdc64480fe8f9af0ab6b8a

[ "Apache-2.0" ]

61

2018-02-21T00:02:20.000Z

2022-01-26T03:47:19.000Z

omsdk/http/sdkwsman.py

DanielFroehlich/omsdk

475d925e4033104957fdc64480fe8f9af0ab6b8a

[ "Apache-2.0" ]

31

2018-03-24T05:43:39.000Z

2022-03-16T07:10:37.000Z

omsdk/http/sdkwsman.py

DanielFroehlich/omsdk

475d925e4033104957fdc64480fe8f9af0ab6b8a

[ "Apache-2.0" ]

25

2018-03-13T10:06:12.000Z

2022-01-26T03:47:21.000Z

#!/usr/bin/env python3 # -*- coding: utf-8 -*- # # # Copyright © 2018 Dell Inc. or its subsidiaries. All rights reserved. # Dell, EMC, and other trademarks are trademarks of Dell Inc. or its subsidiaries. # Other trademarks may be trademarks of their respective owners. # # 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. # # Authors: Vaideeswaran Ganesan # import sys from omsdk.http.sdkwsmanbase import WsManProtocolBase from omsdk.http.sdkhttpep import HttpEndPoint, HttpEndPointOptions PY2 = sys.version_info[0] == 2 PY3 = sys.version_info[0] == 3 class WsManProtocol(WsManProtocolBase): def __init__(self, ipaddr, creds, pOptions): if PY2: super(WsManProtocol, self).__init__(ipaddr, creds, pOptions) else: super().__init__(ipaddr, creds, pOptions) headers = { 'Content-Type': 'application/soap+xml;charset=UTF-8' } self.proto = HttpEndPoint(ipaddr, creds, pOptions, headers) def _proto_connect(self): self.proto.connect() def _proto_ship_payload(self, payload): return self.proto.ship_payload(payload) def _proto_endpoint(self): return self.proto.endpoint def _proto_reset(self): return self.proto.reset()

33.222222

83

0.688963

231

1,794

5.251082

0.541126

0.049464

0.062655

0.019786

0.039571

0

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0.222408

1,794

53

84

33.849057

0.855914

0.449833

0

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0.037281

0

1

0.217391

false

0

0.130435

0.521739

0

null

0

null

0

1

0

1

0

3

598815eb319b51eeb940d15d5bef8ba875ad8ba9

24,574

py

Python

runtime/stdlib/json.py

cheery/lever

6fa8cd6afec440b32232f87236b0457fb8bfb8b1

[ "MIT" ]

136

2015-12-18T21:11:59.000Z

2022-02-21T19:47:36.000Z

runtime/stdlib/json.py

cheery/lever

6fa8cd6afec440b32232f87236b0457fb8bfb8b1

[ "MIT" ]

1

2021-05-07T11:17:02.000Z

2021-05-07T18:15:07.000Z

runtime/stdlib/json.py

cheery/lever

6fa8cd6afec440b32232f87236b0457fb8bfb8b1

[ "MIT" ]

13

2016-03-06T18:27:17.000Z

2020-06-18T14:27:32.000Z

## Just the JSON decoder, because I only need a decoder for now. #from rpython.rlib.unicodedata import unicodedb_6_2_0 as unicodedb from rpython.rlib.listsort import make_timsort_class from rpython.rlib import rfile from rpython.rlib.rstring import UnicodeBuilder from rpython.rlib.objectmodel import specialize, always_inline from space import * from space import numbers from stdlib import fs import space import pathobj import os module = Module(u'json', {}, frozen=True) def builtin(deco): def _deco_(fn): name = fn.__name__.rstrip('_').decode('utf-8') module.setattr_force(name, Builtin(deco(fn), name)) return fn return _deco_ @builtin(signature(Object, Object, Dict, optional=1)) def write_file(pathname, obj, config): name = pathobj.os_stringify(pathname).encode('utf-8') try: fd = rfile.create_file(name, "wb") try: # TODO: sort of defeats the purpose of # incremental encoder. fd.write(configured_stringify(obj, config).encode('utf-8')) fd.write('\n') finally: fd.close() except IOError as error: message = os.strerror(error.errno).decode('utf-8') raise OldError(u"%s: %s" % (pathobj.stringify(pathname), message)) return null @builtin(signature(Object, Dict, optional=1)) def write_string(obj, config): return space.String(configured_stringify(obj, config)) def configured_stringify(obj, config): if config is None: ub = UnicodeBuilder() quick_stringify(ub, obj) return ub.build() margin = space.to_int(get_config(config, u"margin", space.Integer(80))) scan = Scanner(Printer(margin)) scan.indent = space.to_int(get_config(config, u"indent", space.Integer(2))) scan.sort_keys = space.is_true(get_config(config, u"sort_keys", space.false)) stringify(scan, obj) scan.finish() return scan.printer.result.build() def get_config(config, text, default): return config.data.get(space.String(text), default) def quick_stringify(ub, obj): if isinstance(obj, space.Dict): ub.append(u"{") more = False for key, value in obj.data.iteritems(): if not isinstance(key, String): raise unwind(LError( u"json supports only strings as keys: " + key.repr())) if more: ub.append(u",") ub.append(escape_string(key.string)) ub.append(u':') quick_stringify(ub, value) more = True ub.append(u"}") elif isinstance(obj, space.List): ub.append(u"[") more = False for item in obj.contents: if more: ub.append(u",") quick_stringify(ub, item) more = True ub.append(u"]") elif isinstance(obj, space.String): ub.append(escape_string(obj.string)) elif isinstance(obj, space.Integer): ub.append(numbers.integer_to_string(obj.value, 10)) elif isinstance(obj, space.Float): ub.append(numbers.float_to_string(obj.number)) elif obj is space.null: ub.append(u"null") elif obj is space.true: ub.append(u"true") elif obj is space.false: ub.append(u"false") else: raise unwind(LError(u"no handler for: " + obj.repr())) def stringify(scan, obj): if isinstance(obj, space.Dict): scan.left().text(u"{").blank(u"", scan.indent) more = False if scan.sort_keys: pairs = [] for key, value in obj.data.iteritems(): if not isinstance(key, String): raise unwind(LError( u"json supports only strings as keys: " + key.repr())) pairs.append((key, value)) sorter = JSONKeySort(pairs, len(pairs)) sorter.sort() for key, value in sorter.list: if more: scan.text(u",").blank(u" ", scan.indent) scan.left() scan.text(escape_string(key.string)+u': ') stringify(scan, value) scan.right() more = True else: for key, value in obj.data.iteritems(): if not isinstance(key, String): raise unwind(LError( u"json supports only strings as keys: " + key.repr())) if more: scan.text(u",").blank(u" ", scan.indent) scan.left() scan.text(escape_string(key.string)+u': ') stringify(scan, value) scan.right() more = True scan.blank(u"", 0).text(u"}").right() elif isinstance(obj, space.List): scan.left().text(u"[").blank(u"", scan.indent) more = False for item in obj.contents: if more: scan.text(u",").blank(u" ", scan.indent) stringify(scan, item) more = True scan.blank(u"", 0).text(u"]").right() elif isinstance(obj, space.String): scan.text(escape_string(obj.string)) elif isinstance(obj, space.Integer): scan.text(numbers.integer_to_string(obj.value, 10)) elif isinstance(obj, space.Float): scan.text(numbers.float_to_string(obj.number)) elif obj is space.null: scan.text(u"null") elif obj is space.true: scan.text(u"true") elif obj is space.false: scan.text(u"false") else: raise unwind(LError(u"no handler for: " + obj.repr())) TimSort = make_timsort_class() class JSONKeySort(TimSort): def lt(self, a, b): return a[0].string < b[0].string # This is the easiest point of failure in your stringifier program. def escape_string(string): out = UnicodeBuilder() out.append(u'"') for ch in string: n = ord(ch) if 0x20 <= n and n <= 0x7E or 0xFF < n: # remove the last part in cond if you don't want if ch == u'\\': # unicode printed out for some reason. ch = u'\\\\' elif ch == u'"': ch = u'\\"' else: a = u"0123456789abcdef"[n >> 12] b = u"0123456789abcdef"[n >> 8 & 15] c = u"0123456789abcdef"[n >> 4 & 15] d = u"0123456789abcdef"[n & 15] ch = u'u' + a + b + c + d ch = u'\\' + character_escapes.get(n, ch) out.append(ch) out.append(u'"') return out.build() character_escapes = {8: u'b', 9: u't', 10: u'n', 12: u'f', 13: u'r'} # The scanner runs three line widths before the printer and checks how many # spaces the blanks and groups take. This allows the printer determine # whether the line or grouping should be broken into multiple lines. class Scanner(object): def __init__(self, printer): self.printer = printer self.stream = [] self.stack = [] self.lastblank = None self.left_total = 1 self.right_total = 1 # makes sure we won't treat the first # item differently than others. self.sort_keys = False self.indent = 2 def left(self): return self.scan(Left()) def right(self): return self.scan(Right()) def blank(self, text, indent): return self.scan(Blank(text, indent)) def text(self, text): return self.scan(Text(text)) def scan(self, x): if isinstance(x, Left): x.size = -self.right_total self.stack.append(x) elif isinstance(x, Right): if len(self.stack) > 0: self.stack.pop().size += self.right_total elif isinstance(x, Blank): if self.lastblank is not None: self.lastblank.size += self.right_total self.lastblank = x x.size = -self.right_total self.right_total += len(x.text) elif isinstance(x, Text): self.right_total += len(x.text) self.stream.append(x) while len(self.stream) > 0 and self.right_total - self.left_total > 3*self.printer.margin: self.left_total += self.printer.scan(self.stream.pop(0)) return self def finish(self): if self.lastblank is not None: # Well.. of course. self.lastblank.size += self.right_total # I didn't figure this out earlier. while len(self.stream) > 0: self.printer.scan(self.stream.pop(0)) # Printer keeps the track of layout during printing. class Printer: def __init__(self, margin): self.margin = margin self.layout = Layout(None, margin, False) self.spaceleft = margin self.spaces = margin self.result = UnicodeBuilder() def scan(self, x): if isinstance(x, Left): self.layout = Layout(self.layout, self.spaces, x.size < 0 or self.spaceleft < x.size) elif isinstance(x, Right): if self.layout.parent: self.layout = self.layout.parent elif isinstance(x, Blank): if x.size < 0 or self.spaceleft < x.size or self.layout.force_break: self.spaces = self.layout.spaces - x.indent self.spaceleft = self.spaces self.result.append(u'\n' + u' '*(self.margin - self.spaces)) else: self.result.append(x.text) self.spaceleft -= len(x.text) elif isinstance(x, Text): self.result.append(x.text) self.spaceleft -= len(x.text) return len(x) # These small objects are scanner and printer internals. class Layout(object): def __init__(self, parent, spaces, force_break): self.parent = parent self.spaces = spaces self.force_break = force_break # These objects are mutated by the scanner, so they cannot be # reused. Users of the pretty printer should not create them themselves. class ScannerToken: def __len__(self): return 0 class Text(ScannerToken): def __init__(self, text): self.text = text def __len__(self): return len(self.text) class Left(ScannerToken): def __init__(self): self.size = 0 class Right(ScannerToken): pass class Blank(ScannerToken): def __init__(self, text, indent=0): self.text = text self.indent = indent self.size = 0 def __len__(self): return len(self.text) @builtin(signature(Object)) def read_file(path): sobj = fs.read_file([path]) assert isinstance(sobj, String) return read_string(sobj) @builtin(signature(String)) def read_string(string): stack = [] ctx = ParserContext() state = 0x00 for ch in string.string: cat = catcode[min(ord(ch), 0x7E)] state = parse_char(cat, ch, stack, state, ctx) state = parse_char(catcode[32], u' ', stack, state, ctx) if state != 0x00: raise unwind(LError(u"JSON decode error: truncated")) if len(ctx.ds) != 1: raise unwind(LError(u"JSON decode error: too many objects")) return ctx.ds.pop() class ParserContext: def __init__(self): self.ds = [] # data stack self.ss = UnicodeBuilder() # string stack self.es = UnicodeBuilder() # escape stack @always_inline def parse_char(cat, ch, stack, state, ctx): while True: code = states[state][cat] action = code >> 8 & 0xFF code = code & 0xFF if action == 0xFF and code == 0xFF: raise unwind(LError(u"JSON decode error: syntax")) elif action >= 0x80: # shift stack.append(gotos[state]) action -= 0x80 if action > 0: decode_json(action, ch, ctx) if code == 0xFF: state = stack.pop() else: state = code return state @always_inline def decode_json(action, ch, ctx): if action == 0x1: # push list ctx.ds.append(space.List([])) # Push object to ds elif action == 0x2: # push object ctx.ds.append(space.Dict()) elif action == 0x3: # pop & append val = ctx.ds.pop() top = ctx.ds[len(ctx.ds)-1] assert isinstance(top, List) # we can trust this. top.contents.append(val) elif action == 0x4: # pop pop & setitem val = ctx.ds.pop() key = ctx.ds.pop() top = ctx.ds[len(ctx.ds)-1] assert isinstance(top, Dict) # again.. top.data[key] = val elif action == 0x5: # push null ctx.ds.append(space.null) elif action == 0x6: # push true ctx.ds.append(space.true) elif action == 0x7: # push false ctx.ds.append(space.false) elif action == 0x8: # push string val = ctx.ss.build() ctx.ds.append(space.String(val)) ctx.ss = UnicodeBuilder() ctx.es = UnicodeBuilder() elif action == 0x9: val = int(ctx.ss.build().encode('utf-8')) # push int ctx.ds.append(space.Integer(val)) ctx.ss = UnicodeBuilder() elif action == 0xA: val = float(ctx.ss.build().encode('utf-8')) # push float ctx.ds.append(space.Float(val)) ctx.ss = UnicodeBuilder() elif action == 0xB: # push ch to ss ctx.ss.append(ch) elif action == 0xC: # push ch to es ctx.es.append(ch) elif action == 0xD: # push escape ctx.ss.append(unichr(escape_characters[ch])) elif action == 0xE: # push unicode point ctx.ss.append(unichr(int(ctx.es.build().encode('utf-8'), 16))) ctx.es = UnicodeBuilder() else: # This is very unlikely to happen. assert False, "JSON decoder bug" # Non-trivial escape characters. At worst you can # 'switch' or 'if/else' them into do_action -function. escape_characters = {'b': 8, 't': 9, 'n': 10, 'f': 12, 'r': 13} # generated by build_tables.py program: http://github.com/cheery/json_algorithm states = [ [ 0xffff, 0x0000, 0x801a, 0xffff, 0xffff, 0x8b29, 0xffff, 0xffff, 0x8b28, 0x8b22, 0xffff, 0xffff, 0xffff, 0x810e, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0x8009, 0xffff, 0x8001, 0xffff, 0xffff, 0x8005, 0xffff, 0x8212, 0xffff, ], [ 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0x0002, 0xffff, 0xffff, ], [ 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0x0003, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, ], [ 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0x0004, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, ], [ 0x05ff, 0x05ff, 0x05ff, 0x05ff, 0x05ff, 0x05ff, 0x05ff, 0x05ff, 0x05ff, 0x05ff, 0x05ff, 0x05ff, 0x05ff, 0x05ff, 0x05ff, 0x05ff, 0x05ff, 0x05ff, 0x05ff, 0x05ff, 0x05ff, 0x05ff, 0x05ff, 0x05ff, 0x05ff, 0x05ff, 0x05ff, 0x05ff, ], [ 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0x0006, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, ], [ 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0x0007, 0xffff, 0xffff, ], [ 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0x0008, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, ], [ 0x06ff, 0x06ff, 0x06ff, 0x06ff, 0x06ff, 0x06ff, 0x06ff, 0x06ff, 0x06ff, 0x06ff, 0x06ff, 0x06ff, 0x06ff, 0x06ff, 0x06ff, 0x06ff, 0x06ff, 0x06ff, 0x06ff, 0x06ff, 0x06ff, 0x06ff, 0x06ff, 0x06ff, 0x06ff, 0x06ff, 0x06ff, 0x06ff, ], [ 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0x000a, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, ], [ 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0x000b, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, ], [ 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0x000c, 0xffff, 0xffff, 0xffff, 0xffff, ], [ 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0x000d, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, ], [ 0x07ff, 0x07ff, 0x07ff, 0x07ff, 0x07ff, 0x07ff, 0x07ff, 0x07ff, 0x07ff, 0x07ff, 0x07ff, 0x07ff, 0x07ff, 0x07ff, 0x07ff, 0x07ff, 0x07ff, 0x07ff, 0x07ff, 0x07ff, 0x07ff, 0x07ff, 0x07ff, 0x07ff, 0x07ff, 0x07ff, 0x07ff, 0x07ff, ], [ 0xffff, 0x000e, 0x801a, 0xffff, 0xffff, 0x8b29, 0xffff, 0xffff, 0x8b28, 0x8b22, 0xffff, 0xffff, 0xffff, 0x810e, 0xffff, 0x0011, 0xffff, 0xffff, 0xffff, 0x8009, 0xffff, 0x8001, 0xffff, 0xffff, 0x8005, 0xffff, 0x8212, 0xffff, ], [ 0xffff, 0x000f, 0xffff, 0xffff, 0x0310, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0x0311, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, ], [ 0xffff, 0x0010, 0x801a, 0xffff, 0xffff, 0x8b29, 0xffff, 0xffff, 0x8b28, 0x8b22, 0xffff, 0xffff, 0xffff, 0x810e, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0x8009, 0xffff, 0x8001, 0xffff, 0xffff, 0x8005, 0xffff, 0x8212, 0xffff, ], [ 0x00ff, 0x00ff, 0x00ff, 0x00ff, 0x00ff, 0x00ff, 0x00ff, 0x00ff, 0x00ff, 0x00ff, 0x00ff, 0x00ff, 0x00ff, 0x00ff, 0x00ff, 0x00ff, 0x00ff, 0x00ff, 0x00ff, 0x00ff, 0x00ff, 0x00ff, 0x00ff, 0x00ff, 0x00ff, 0x00ff, 0x00ff, 0x00ff, ], [ 0xffff, 0x0012, 0x801a, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0x0019, ], [ 0xffff, 0x0013, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0x0014, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, ], [ 0xffff, 0x0014, 0x801a, 0xffff, 0xffff, 0x8b29, 0xffff, 0xffff, 0x8b28, 0x8b22, 0xffff, 0xffff, 0xffff, 0x810e, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0x8009, 0xffff, 0x8001, 0xffff, 0xffff, 0x8005, 0xffff, 0x8212, 0xffff, ], [ 0xffff, 0x0015, 0xffff, 0xffff, 0x0416, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0x0419, ], [ 0xffff, 0x0016, 0x801a, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, ], [ 0xffff, 0x0017, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0x0018, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, ], [ 0xffff, 0x0018, 0x801a, 0xffff, 0xffff, 0x8b29, 0xffff, 0xffff, 0x8b28, 0x8b22, 0xffff, 0xffff, 0xffff, 0x810e, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0x8009, 0xffff, 0x8001, 0xffff, 0xffff, 0x8005, 0xffff, 0x8212, 0xffff, ], [ 0x00ff, 0x00ff, 0x00ff, 0x00ff, 0x00ff, 0x00ff, 0x00ff, 0x00ff, 0x00ff, 0x00ff, 0x00ff, 0x00ff, 0x00ff, 0x00ff, 0x00ff, 0x00ff, 0x00ff, 0x00ff, 0x00ff, 0x00ff, 0x00ff, 0x00ff, 0x00ff, 0x00ff, 0x00ff, 0x00ff, 0x00ff, 0x00ff, ], [ 0x0b1a, 0x0b1a, 0x0021, 0x0b1a, 0x0b1a, 0x0b1a, 0x0b1a, 0x0b1a, 0x0b1a, 0x0b1a, 0x0b1a, 0x0b1a, 0x0b1a, 0x0b1a, 0x001b, 0x0b1a, 0x0b1a, 0x0b1a, 0x0b1a, 0x0b1a, 0x0b1a, 0x0b1a, 0x0b1a, 0x0b1a, 0x0b1a, 0x0b1a, 0x0b1a, 0x0b1a, ], [ 0xffff, 0xffff, 0x0b1a, 0xffff, 0xffff, 0xffff, 0xffff, 0x0b1a, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0x0b1a, 0xffff, 0xffff, 0x0d1a, 0xffff, 0x0d1a, 0xffff, 0x0d1a, 0x0d1a, 0xffff, 0x0d1a, 0x801c, 0xffff, 0xffff, ], [ 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0x0c1d, 0x0c1d, 0xffff, 0x0c1d, 0x0c1d, 0xffff, 0xffff, 0xffff, 0x0c1d, 0x0c1d, 0x0c1d, 0x0c1d, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, ], [ 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0x0c1e, 0x0c1e, 0xffff, 0x0c1e, 0x0c1e, 0xffff, 0xffff, 0xffff, 0x0c1e, 0x0c1e, 0x0c1e, 0x0c1e, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, ], [ 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0x0c1f, 0x0c1f, 0xffff, 0x0c1f, 0x0c1f, 0xffff, 0xffff, 0xffff, 0x0c1f, 0x0c1f, 0x0c1f, 0x0c1f, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, ], [ 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0x0c20, 0x0c20, 0xffff, 0x0c20, 0x0c20, 0xffff, 0xffff, 0xffff, 0x0c20, 0x0c20, 0x0c20, 0x0c20, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, ], [ 0x0eff, 0x0eff, 0x0eff, 0x0eff, 0x0eff, 0x0eff, 0x0eff, 0x0eff, 0x0eff, 0x0eff, 0x0eff, 0x0eff, 0x0eff, 0x0eff, 0x0eff, 0x0eff, 0x0eff, 0x0eff, 0x0eff, 0x0eff, 0x0eff, 0x0eff, 0x0eff, 0x0eff, 0x0eff, 0x0eff, 0x0eff, 0x0eff, ], [ 0x08ff, 0x08ff, 0x08ff, 0x08ff, 0x08ff, 0x08ff, 0x08ff, 0x08ff, 0x08ff, 0x08ff, 0x08ff, 0x08ff, 0x08ff, 0x08ff, 0x08ff, 0x08ff, 0x08ff, 0x08ff, 0x08ff, 0x08ff, 0x08ff, 0x08ff, 0x08ff, 0x08ff, 0x08ff, 0x08ff, 0x08ff, 0x08ff, ], [ 0x09ff, 0x09ff, 0x09ff, 0x09ff, 0x09ff, 0x09ff, 0x0b23, 0x09ff, 0x0b22, 0x0b22, 0x09ff, 0x09ff, 0x0b25, 0x09ff, 0x09ff, 0x09ff, 0x09ff, 0x09ff, 0x0b25, 0x09ff, 0x09ff, 0x09ff, 0x09ff, 0x09ff, 0x09ff, 0x09ff, 0x09ff, 0x09ff, ], [ 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0x0b24, 0x0b24, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, ], [ 0x0aff, 0x0aff, 0x0aff, 0x0aff, 0x0aff, 0x0aff, 0x0aff, 0x0aff, 0x0b24, 0x0b24, 0x0aff, 0x0aff, 0x0b25, 0x0aff, 0x0aff, 0x0aff, 0x0aff, 0x0aff, 0x0b25, 0x0aff, 0x0aff, 0x0aff, 0x0aff, 0x0aff, 0x0aff, 0x0aff, 0x0aff, 0x0aff, ], [ 0xffff, 0xffff, 0xffff, 0x0b26, 0xffff, 0x0b26, 0xffff, 0xffff, 0x0b27, 0x0b27, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, ], [ 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0x0b27, 0x0b27, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, ], [ 0x0aff, 0x0aff, 0x0aff, 0x0aff, 0x0aff, 0x0aff, 0x0aff, 0x0aff, 0x0b27, 0x0b27, 0x0aff, 0x0aff, 0x0aff, 0x0aff, 0x0aff, 0x0aff, 0x0aff, 0x0aff, 0x0aff, 0x0aff, 0x0aff, 0x0aff, 0x0aff, 0x0aff, 0x0aff, 0x0aff, 0x0aff, 0x0aff, ], [ 0x09ff, 0x09ff, 0x09ff, 0x09ff, 0x09ff, 0x09ff, 0x0b23, 0x09ff, 0x09ff, 0x09ff, 0x09ff, 0x09ff, 0x0b25, 0x09ff, 0x09ff, 0x09ff, 0x09ff, 0x09ff, 0x0b25, 0x09ff, 0x09ff, 0x09ff, 0x09ff, 0x09ff, 0x09ff, 0x09ff, 0x09ff, 0x09ff, ], [ 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0x0b28, 0x0b22, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, 0xffff, ], ] gotos = [0, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 15, 255, 15, 255, 19, 255, 21, 255, 23, 255, 21, 255, 255, 26, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255] catcode = [0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 3, 4, 5, 6, 7, 8, 9, 9, 9, 9, 9, 9, 9, 9, 9, 10, 0, 0, 0, 0, 0, 0, 11, 11, 11, 11, 12, 11, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 13, 14, 15, 0, 0, 0, 16, 17, 11, 11, 18, 19, 0, 0, 0, 0, 0, 20, 0, 21, 0, 0, 0, 22, 23, 24, 25, 0, 0, 0, 0, 0, 26, 0, 27, 0]

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false

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0.18

0.015

0

null

1

0

null

0

3

59935cf5ac5bcac69943752420da843164790d60

636

py

Python

employee-management/models/company.py

desitomato/flask-docker

03dadddfbda478180554f3364e91af41b72dce87

[ "MIT" ]

null

employee-management/models/company.py

desitomato/flask-docker

03dadddfbda478180554f3364e91af41b72dce87

[ "MIT" ]

null

employee-management/models/company.py

desitomato/flask-docker

03dadddfbda478180554f3364e91af41b72dce87

[ "MIT" ]

null

from db import db class CompanyModel(db.Model): __tablename__ = 'company' id = db.Column(db.Integer, primary_key=True) name = db.Column(db.String(80)) employee = db.relationship('EmployeeModel', lazy='dynamic') def __init__(self, name): self.name = name def json(self): return {'id': self.id, 'name': self.name} @classmethod def find_by_name(cls, name): return cls.query.filter_by(name=name).first() def save_to_db(self): db.session.add(self) db.session.commit() def delete_from_db(self): db.session.delete(self) db.session.commit()

23.555556

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86

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23.555556

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0.263158

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null

0

null

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1

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1

0

3

59d8a1ab364f363e952024048093b2c910a3c6f3

1,126

py

Python

server/athenian/api/models/web/invitation_link.py

athenianco/athenian-api

dd5556101a8c49703d6b0516e4268b9e8d8eda5b

[ "RSA-MD" ]

9

2020-10-11T22:12:03.000Z

2022-02-26T02:16:45.000Z

server/athenian/api/models/web/invitation_link.py

athenianco/athenian-api

dd5556101a8c49703d6b0516e4268b9e8d8eda5b

[ "RSA-MD" ]

246

2019-12-05T06:37:30.000Z

2022-03-29T10:00:07.000Z

server/athenian/api/models/web/invitation_link.py

athenianco/athenian-api

dd5556101a8c49703d6b0516e4268b9e8d8eda5b

[ "RSA-MD" ]

5

2019-12-04T22:38:05.000Z

2021-02-26T00:50:04.000Z

from athenian.api.models.web.base_model_ import Model class InvitationLink(Model): """NOTE: This class is auto generated by OpenAPI Generator (https://openapi-generator.tech). Do not edit the class manually. """ openapi_types = {"url": str} attribute_map = {"url": "url"} def __init__(self, url: str = None): """InvitationLink - a model defined in OpenAPI :param url: The url of this InvitationLink. """ self._url = url @property def url(self) -> str: """Gets the url of this InvitationLink. Invitation URL. Users are supposed to click it and become regular account members. :return: The url of this InvitationLink. """ return self._url @url.setter def url(self, url: str): """Sets the url of this InvitationLink. Invitation URL. Users are supposed to click it and become regular account members. :param url: The url of this InvitationLink. """ if url is None: raise ValueError("Invalid value for `url`, must not be `None`") self._url = url

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null

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1

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1

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3

59ebe22e486f4d486abb233797c8be04a0cfce18

614

py

Python

backend/app/crud/crud_user.py

Ian-Almeida/survey-site

e7846b800f2f3033c0fe9009cdb47568390e5f6d

[ "MIT" ]

null

backend/app/crud/crud_user.py

Ian-Almeida/survey-site

e7846b800f2f3033c0fe9009cdb47568390e5f6d

[ "MIT" ]

null

backend/app/crud/crud_user.py

Ian-Almeida/survey-site

e7846b800f2f3033c0fe9009cdb47568390e5f6d

[ "MIT" ]

null

from .base import CRUDBase from app.models.user import User, UserCreate, UserUpdate, UserInDB from pymongo.database import Database from ..core.auth import get_password_hash class CRUDUser(CRUDBase[User, UserCreate, UserUpdate]): def create(self, db: Database, data_in: UserCreate): to_create = UserInDB(**data_in.__dict__, hashed_password=get_password_hash(data_in.password)) new = db.User.insert_one(to_create.dict(by_alias=True)) if not new: return None return db.User.find_one({"_id": new.inserted_id}) crud_user = CRUDUser(User, UserCreate, UserUpdate)

29.238095

101

0.73127

84

614

5.107143

0.5

0.097902

0.167832

0

0.17101

614

20

102

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0.842829

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false

0.166667

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null

0

null

0

1

0

1

0

3

ab7e65e01f133c1c62ef82cc6a830a29d2a3019b

172

py

Python

setup.py

thiagokokada/nix-cage

b831a0197efe69ae552182318f553e651474ff96

[ "Unlicense" ]

1

2021-12-09T05:03:44.000Z

setup.py

thiagokokada/nix-cage

b831a0197efe69ae552182318f553e651474ff96

[ "Unlicense" ]

null

setup.py

thiagokokada/nix-cage

b831a0197efe69ae552182318f553e651474ff96

[ "Unlicense" ]

null

import setuptools setuptools.setup( name="nix-cage", version="0.1", description="Sandboxed environments with bwarp and nix-shell", scripts=["nix-cage"], )

19.111111

66

0.680233

21

172

5.571429

0.809524

0.119658

0

0.014085

0.174419

172

8

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0.383721

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true

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null

0

1

0

null

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1

0

3

ab83afca730c810d46e175c0589087ad541bda1b

3,257

py

Python

dci/identity.py

redhat-cip/dci-control-server

6dee30e7b8770fde2466f2b09554d299a3f3db4d

[ "Apache-2.0" ]

17

2016-09-02T09:21:29.000Z

2021-09-27T11:33:58.000Z

dci/identity.py

redhat-cip/dci-control-server

6dee30e7b8770fde2466f2b09554d299a3f3db4d

[ "Apache-2.0" ]

80

2015-12-09T09:29:26.000Z

2021-01-06T08:24:22.000Z

dci/identity.py

redhat-cip/dci-control-server

6dee30e7b8770fde2466f2b09554d299a3f3db4d

[ "Apache-2.0" ]

10

2015-09-29T21:34:53.000Z

2021-09-27T11:34:01.000Z

# -*- coding: utf-8 -*- # # Copyright (C) 2017 Red Hat, Inc # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations # under the License. import uuid class Identity: def __init__(self, user_info): self.id = user_info.get('id') self.password = user_info.get('password', None) self.name = user_info.get('name', None) self.fullname = user_info.get('fullname', None) self.timezone = user_info.get('timezone', None) self.email = user_info.get('email', None) self.sso_username = user_info.get('sso_username', None) self.etag = user_info.get('etag', None) self._is_user = user_info.get('is_user', False) self.api_secret = user_info.get('api_secret', '') self._is_remoteci = user_info.get('is_remoteci', False) self._is_feeder = user_info.get('is_feeder', False) # user_info['teams'] = {'<team-id1>': {'id': <id>, # 'name': <name>, # 'etag': <etag>, # '<team-id2>: {...}} self.teams = user_info.get('teams', {}) self.teams_ids = list(self.teams.keys()) self._is_super_admin = user_info.get('is_super_admin', False) self._is_read_only_user = user_info.get('is_read_only_user', False) self._is_epm_user = user_info.get('is_epm_user', False) def is_super_admin(self): """Ensure the user is SUPER_ADMIN.""" return self._is_super_admin def is_not_super_admin(self): """Ensure the user is not SUPER_ADMIN.""" return not self.is_super_admin() def is_epm(self): """Ensure the user is EPM""" return self._is_epm_user or self.is_super_admin() def is_not_epm(self): """Ensure the user is not EPM""" return not self.is_epm() def is_read_only_user(self): """Check if the user is a rh employee.""" return self._is_read_only_user def is_not_read_only_user(self): """Check if the user is not a read only user.""" return not self.is_read_only_user() def is_in_team(self, team_id): """Test if user is in team""" if self.is_super_admin() or self.is_epm(): return True team_id = uuid.UUID(str(team_id)) return team_id in self.teams def is_not_in_team(self, team_id): """Test if user is not in team""" return not self.is_in_team(team_id) def is_user(self): return self._is_user def is_remoteci(self): return self._is_remoteci def is_not_remoteci(self): return not self.is_remoteci() def is_feeder(self): return self._is_feeder def is_not_feeder(self): return not self.is_feeder()

31.621359

75

0.621431

475

3,257

4.010526

0.24

0.066142

0.092388

0.040945

0.250919

0.180052

0.142782

0.062992

0

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0.26374

3,257

102

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0.789825

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1

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false

0.020408

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