hexsha string | size int64 | ext string | lang string | max_stars_repo_path string | max_stars_repo_name string | max_stars_repo_head_hexsha string | max_stars_repo_licenses list | max_stars_count int64 | max_stars_repo_stars_event_min_datetime string | max_stars_repo_stars_event_max_datetime string | max_issues_repo_path string | max_issues_repo_name string | max_issues_repo_head_hexsha string | max_issues_repo_licenses list | max_issues_count int64 | max_issues_repo_issues_event_min_datetime string | max_issues_repo_issues_event_max_datetime string | max_forks_repo_path string | max_forks_repo_name string | max_forks_repo_head_hexsha string | max_forks_repo_licenses list | max_forks_count int64 | max_forks_repo_forks_event_min_datetime string | max_forks_repo_forks_event_max_datetime string | content string | avg_line_length float64 | max_line_length int64 | alphanum_fraction float64 | qsc_code_num_words_quality_signal int64 | qsc_code_num_chars_quality_signal float64 | qsc_code_mean_word_length_quality_signal float64 | qsc_code_frac_words_unique_quality_signal float64 | qsc_code_frac_chars_top_2grams_quality_signal float64 | qsc_code_frac_chars_top_3grams_quality_signal float64 | qsc_code_frac_chars_top_4grams_quality_signal float64 | qsc_code_frac_chars_dupe_5grams_quality_signal float64 | qsc_code_frac_chars_dupe_6grams_quality_signal float64 | qsc_code_frac_chars_dupe_7grams_quality_signal float64 | qsc_code_frac_chars_dupe_8grams_quality_signal float64 | qsc_code_frac_chars_dupe_9grams_quality_signal float64 | qsc_code_frac_chars_dupe_10grams_quality_signal float64 | qsc_code_frac_chars_replacement_symbols_quality_signal float64 | qsc_code_frac_chars_digital_quality_signal float64 | qsc_code_frac_chars_whitespace_quality_signal float64 | qsc_code_size_file_byte_quality_signal float64 | qsc_code_num_lines_quality_signal float64 | qsc_code_num_chars_line_max_quality_signal float64 | qsc_code_num_chars_line_mean_quality_signal float64 | qsc_code_frac_chars_alphabet_quality_signal float64 | qsc_code_frac_chars_comments_quality_signal float64 | qsc_code_cate_xml_start_quality_signal float64 | qsc_code_frac_lines_dupe_lines_quality_signal float64 | qsc_code_cate_autogen_quality_signal float64 | qsc_code_frac_lines_long_string_quality_signal float64 | qsc_code_frac_chars_string_length_quality_signal float64 | qsc_code_frac_chars_long_word_length_quality_signal float64 | qsc_code_frac_lines_string_concat_quality_signal float64 | qsc_code_cate_encoded_data_quality_signal float64 | qsc_code_frac_chars_hex_words_quality_signal float64 | qsc_code_frac_lines_prompt_comments_quality_signal float64 | qsc_code_frac_lines_assert_quality_signal float64 | qsc_codepython_cate_ast_quality_signal float64 | qsc_codepython_frac_lines_func_ratio_quality_signal float64 | qsc_codepython_cate_var_zero_quality_signal bool | qsc_codepython_frac_lines_pass_quality_signal float64 | qsc_codepython_frac_lines_import_quality_signal float64 | qsc_codepython_frac_lines_simplefunc_quality_signal float64 | qsc_codepython_score_lines_no_logic_quality_signal float64 | qsc_codepython_frac_lines_print_quality_signal float64 | qsc_code_num_words int64 | qsc_code_num_chars int64 | qsc_code_mean_word_length int64 | qsc_code_frac_words_unique null | qsc_code_frac_chars_top_2grams int64 | qsc_code_frac_chars_top_3grams int64 | qsc_code_frac_chars_top_4grams int64 | qsc_code_frac_chars_dupe_5grams int64 | qsc_code_frac_chars_dupe_6grams int64 | qsc_code_frac_chars_dupe_7grams int64 | qsc_code_frac_chars_dupe_8grams int64 | qsc_code_frac_chars_dupe_9grams int64 | qsc_code_frac_chars_dupe_10grams int64 | qsc_code_frac_chars_replacement_symbols int64 | qsc_code_frac_chars_digital int64 | qsc_code_frac_chars_whitespace int64 | qsc_code_size_file_byte int64 | qsc_code_num_lines int64 | qsc_code_num_chars_line_max int64 | qsc_code_num_chars_line_mean int64 | qsc_code_frac_chars_alphabet int64 | qsc_code_frac_chars_comments int64 | qsc_code_cate_xml_start int64 | qsc_code_frac_lines_dupe_lines int64 | qsc_code_cate_autogen int64 | qsc_code_frac_lines_long_string int64 | qsc_code_frac_chars_string_length int64 | qsc_code_frac_chars_long_word_length int64 | qsc_code_frac_lines_string_concat null | qsc_code_cate_encoded_data int64 | qsc_code_frac_chars_hex_words int64 | qsc_code_frac_lines_prompt_comments int64 | qsc_code_frac_lines_assert int64 | qsc_codepython_cate_ast int64 | qsc_codepython_frac_lines_func_ratio int64 | qsc_codepython_cate_var_zero int64 | qsc_codepython_frac_lines_pass int64 | qsc_codepython_frac_lines_import int64 | qsc_codepython_frac_lines_simplefunc int64 | qsc_codepython_score_lines_no_logic int64 | qsc_codepython_frac_lines_print int64 | effective string | hits int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
05f5c4200cb6e9a7f74bc3a20114687cb596c358 | 277 | py | Python | language_features/loops/for_continue.py | PrasadHonrao/python-samples | faa48aa3eaf2d67b8cef0114e1f6ef08e2c1300a | [
"MIT"
] | 3 | 2018-08-20T13:00:01.000Z | 2021-09-18T04:19:46.000Z | language_features/loops/for_continue.py | PrasadHonrao/python-samples | faa48aa3eaf2d67b8cef0114e1f6ef08e2c1300a | [
"MIT"
] | 1 | 2021-06-25T20:25:02.000Z | 2021-08-19T22:44:31.000Z | language_features/loops/for_continue.py | PrasadHonrao/python-samples | faa48aa3eaf2d67b8cef0114e1f6ef08e2c1300a | [
"MIT"
] | 1 | 2021-09-18T23:51:20.000Z | 2021-09-18T23:51:20.000Z | programming_languages = ["Python", "Scala", "Haskell", "F#", "C#", "JavaScript"]
for lang in programming_languages:
if (lang == "Haskell"):
continue
print("Found Haskell !!!", end='\n') # this statement will never be executed
print(lang, end=' ') | 39.571429 | 85 | 0.602888 | 31 | 277 | 5.322581 | 0.741935 | 0.242424 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.220217 | 277 | 7 | 86 | 39.571429 | 0.763889 | 0.133574 | 0 | 0 | 0 | 0 | 0.253219 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.333333 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
05fc40877c0f99b6531ab92da8b5b8418ae240a6 | 341 | py | Python | cacheback/tasks.py | kevin-brown/django-cacheback | f34b1942a90f13e9eaa7833c82df8190a32816d9 | [
"MIT"
] | 160 | 2015-01-02T05:55:29.000Z | 2022-03-28T19:33:40.000Z | cacheback/tasks.py | kevin-brown/django-cacheback | f34b1942a90f13e9eaa7833c82df8190a32816d9 | [
"MIT"
] | 57 | 2015-01-08T03:32:55.000Z | 2022-01-25T07:59:33.000Z | cacheback/tasks.py | kevin-brown/django-cacheback | f34b1942a90f13e9eaa7833c82df8190a32816d9 | [
"MIT"
] | 66 | 2015-01-13T14:41:59.000Z | 2022-03-31T16:24:45.000Z | from celery import shared_task
from django.conf import settings
@shared_task(ignore_result=getattr(settings, 'CACHEBACK_TASK_IGNORE_RESULT', False))
def refresh_cache(klass_str, obj_args, obj_kwargs, call_args, call_kwargs):
from .base import Job
Job.perform_async_refresh(klass_str, obj_args, obj_kwargs, call_args, call_kwargs)
| 34.1 | 86 | 0.815249 | 52 | 341 | 4.980769 | 0.5 | 0.07722 | 0.123552 | 0.11583 | 0.324324 | 0.324324 | 0.324324 | 0.324324 | 0.324324 | 0.324324 | 0 | 0 | 0.108504 | 341 | 9 | 87 | 37.888889 | 0.851974 | 0 | 0 | 0 | 0 | 0 | 0.082111 | 0.082111 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.5 | 0 | 0.666667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 2 |
af02a1d8b4580c6edee5866051174448c3182111 | 1,086 | py | Python | backend/models.py | Virace/pdblog | d9a3e1df45e5e8b68c8c066e30b5ffb7d9f63e6c | [
"Apache-2.0"
] | null | null | null | backend/models.py | Virace/pdblog | d9a3e1df45e5e8b68c8c066e30b5ffb7d9f63e6c | [
"Apache-2.0"
] | null | null | null | backend/models.py | Virace/pdblog | d9a3e1df45e5e8b68c8c066e30b5ffb7d9f63e6c | [
"Apache-2.0"
] | null | null | null | from django.db import models
# Create your models here.
class Users(models.Model):
status_list = (
('0', '正常'),
('1', '封禁'),
('9', '删除')
)
login = models.CharField(verbose_name='用户名', max_length=15, unique=True, null=False)
passw = models.CharField(verbose_name='密码', max_length=30, null=False)
nickname = models.CharField(verbose_name='昵称', max_length=15, unique=True)
email = models.EmailField(verbose_name='邮箱', unique=True)
url = models.URLField(verbose_name='网址', null=True)
registered = models.DateTimeField(verbose_name='注册时间', auto_now_add=True)
status = models.IntegerField(verbose_name='账户状态', choices=status_list, default=0)
class UserToken(models.Model):
user = models.OneToOneField(to=Users)
token = models.CharField(verbose_name='密码', max_length=30, null=True)
class Usermeta(models.Model):
uid = models.OneToOneField(verbose_name='用户', to=UserToken)
key = models.CharField(verbose_name='key', unique=True, max_length=20)
value = models.CharField(verbose_name='value', max_length=20)
| 35.032258 | 88 | 0.699816 | 145 | 1,086 | 5.096552 | 0.434483 | 0.163735 | 0.17862 | 0.211096 | 0.173207 | 0.116373 | 0.116373 | 0.116373 | 0.116373 | 0 | 0 | 0.01741 | 0.153775 | 1,086 | 30 | 89 | 36.2 | 0.786725 | 0.022099 | 0 | 0 | 0 | 0 | 0.037771 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.047619 | 0.047619 | 0 | 0.809524 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
af0358ec5f3e948ae2556d56b80e029312055c69 | 464 | py | Python | src/admin/database/demo.py | aimanow/sft | dce87ffe395ae4bd08b47f28e07594e1889da819 | [
"Apache-2.0"
] | 280 | 2016-07-19T09:59:02.000Z | 2022-03-05T19:02:48.000Z | database/demo.py | YAR-SEN/GodMode2 | d8a79b45c6d8b94f3d2af3113428a87d148d20d0 | [
"WTFPL"
] | 3 | 2016-07-20T05:36:49.000Z | 2018-12-10T16:16:19.000Z | database/demo.py | YAR-SEN/GodMode2 | d8a79b45c6d8b94f3d2af3113428a87d148d20d0 | [
"WTFPL"
] | 20 | 2016-07-20T10:51:34.000Z | 2022-01-12T23:15:22.000Z | import sqlalchemy as sa
from sqlalchemy.orm import relationship
from godmode.database import database
demo_database = database("sqlite:///database/demo.sqlite", connect_args={"check_same_thread": False})
class User(demo_database.TableBase):
__table__ = sa.Table('users', demo_database.metadata, autoload=True)
class Post(demo_database.TableBase):
__table__ = sa.Table('posts', demo_database.metadata, autoload=True)
user = relationship('User')
| 25.777778 | 101 | 0.769397 | 58 | 464 | 5.87931 | 0.465517 | 0.175953 | 0.123167 | 0.152493 | 0.381232 | 0.193548 | 0 | 0 | 0 | 0 | 0 | 0 | 0.116379 | 464 | 17 | 102 | 27.294118 | 0.831707 | 0 | 0 | 0 | 0 | 0 | 0.131466 | 0.064655 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 0.888889 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
af07e4dd31a4914cbd33a4acf8cebab169c6aa64 | 155 | py | Python | Pattern/45_pattern.py | manish1822510059/Python-1000-program | d03c1920fe63a7e32ac5bd9a13e2766d7a25756c | [
"Apache-2.0"
] | 1 | 2021-03-06T03:33:42.000Z | 2021-03-06T03:33:42.000Z | Pattern/45_pattern.py | manish1822510059/Python-1000-programs | d03c1920fe63a7e32ac5bd9a13e2766d7a25756c | [
"Apache-2.0"
] | null | null | null | Pattern/45_pattern.py | manish1822510059/Python-1000-programs | d03c1920fe63a7e32ac5bd9a13e2766d7a25756c | [
"Apache-2.0"
] | null | null | null | inc = 1
num = 1
for x in range (5,0,-1):
for y in range(x,0,-1):
print(" ",end="")
print(str(num)*inc)
num += 2
inc += 2 | 19.375 | 28 | 0.425806 | 28 | 155 | 2.357143 | 0.5 | 0.121212 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.092784 | 0.374194 | 155 | 8 | 29 | 19.375 | 0.587629 | 0 | 0 | 0 | 0 | 0 | 0.006711 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.25 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
af211838f27e90551ce31e75a4e8a30fd35abf54 | 668 | py | Python | minibot/bs_repr.py | cornell-cup/cs-reminibot | 411d1ed4b4f67f07f3608cb6ddb7f0b8d7a22b24 | [
"Apache-2.0"
] | 5 | 2020-09-05T18:57:33.000Z | 2022-03-15T00:14:57.000Z | minibot/bs_repr.py | cornell-cup/cs-reminibot | 411d1ed4b4f67f07f3608cb6ddb7f0b8d7a22b24 | [
"Apache-2.0"
] | 33 | 2019-11-07T22:42:13.000Z | 2022-02-05T17:54:50.000Z | minibot/bs_repr.py | cornell-cup/cs-reminibot | 411d1ed4b4f67f07f3608cb6ddb7f0b8d7a22b24 | [
"Apache-2.0"
] | 10 | 2019-09-28T16:44:10.000Z | 2022-03-12T20:23:50.000Z | from collections import deque
from socket import socket
import time
class BS_Repr:
""" Represents a basestation that the Minibot is communicating with
"""
TIMEOUT_LIMIT = 5
def __init__(self, conn_sock: socket):
self.last_status_time = time.time()
self.conn_sock = conn_sock
def update_status_time(self):
self.last_status_time = time.time()
def is_connected(self) -> bool:
""" Checks whether the Basestation has sent a heartbeat message recently
"""
time_diff = time.time() - self.last_status_time
# print(f"Time diff {time_diff}")
return time_diff < BS_Repr.TIMEOUT_LIMIT
| 27.833333 | 81 | 0.672156 | 89 | 668 | 4.786517 | 0.47191 | 0.093897 | 0.098592 | 0.126761 | 0.122066 | 0.122066 | 0 | 0 | 0 | 0 | 0 | 0.001988 | 0.247006 | 668 | 23 | 82 | 29.043478 | 0.84493 | 0.270958 | 0 | 0.153846 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.230769 | false | 0 | 0.230769 | 0 | 0.692308 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
af287649caf833c7e12356bc40221f779ead86ac | 4,036 | py | Python | server-python3/wspty/PromptTerminal.py | Aaron-Ming/websocket_terminal | 42c24391d51c275eabf1f879fb312b9a3614f51e | [
"MIT"
] | 40 | 2016-11-20T09:48:27.000Z | 2021-04-02T00:29:14.000Z | server-python3/wspty/PromptTerminal.py | Aaron-Ming/websocket_terminal | 42c24391d51c275eabf1f879fb312b9a3614f51e | [
"MIT"
] | 6 | 2018-01-07T03:43:22.000Z | 2022-03-21T08:43:33.000Z | server-python3/wspty/PromptTerminal.py | glensc/websocket_terminal | 42c24391d51c275eabf1f879fb312b9a3614f51e | [
"MIT"
] | 20 | 2016-12-02T06:00:27.000Z | 2021-08-15T11:40:34.000Z | import subprocess
import sys
import eventlet.queue
import eventlet.tpool
import eventlet.green.subprocess
from eventlet import green
from eventlet.greenpool import GreenPool
from .BaseTerminal import BaseTerminal
import logging
logger = logging.getLogger(__name__)
class SubprocessTerminal(BaseTerminal):
def __init__(self, cmd):
self.process = make_simple_process(cmd)
self.queue = eventlet.queue.Queue()
self.greenpool = self._start_consume()
def _start_consume(self):
greenpool = GreenPool(5)
greenpool.spawn_n(self._consume_stream, self.process.stdout)
greenpool.spawn_n(self._consume_stream, self.process.stderr)
return greenpool
def _consume_stream(self, stream):
while True:
data = stream.read()
if not data:
break
self._send_to_slave(data)
def recv(self, count=None):
return self.master_to_slave(self.queue.get())
def _send_to_slave(self, data):
self.queue.put(data)
def send(self, data):
data = self.slave_to_master(data)
self.process.stdin.write(data)
def slave_to_master(self, x):
return x
def master_to_slave(self, x):
return x
def close(self):
self.process.kill()
class LinuxTerminal(SubprocessTerminal):
def __init__(self, cmd=None):
if cmd is None:
cmd = ['bash']
import shlex
cmd = " ".join(map(shlex.quote, cmd))
cmd = ['script', '-qfc', cmd, '/dev/null']
super().__init__(cmd)
class WindowsTerminal(SubprocessTerminal):
def __init__(self, cmd=None):
if cmd is None:
cmd = ['cmd']
super().__init__(cmd)
def slave_to_master(self, data):
data = data.replace(b'\r', b'\r\n')
self._send_to_slave(data)
return data
def master_to_slave(self, x):
return x.replace(b'\n', b'\r\n')
class NonBlockingSimplePipe:
def __init__(self, stream):
logger.debug("NonBlockingSimplePipe.__init__ type(stream) == {}".format(type(stream)))
logger.debug("NonBlockingSimplePipe.__init__ type(stream).__name__ == {!r}".format(type(stream).__name__))
self.needs_thread = not is_greenpipe(stream)
self.stream = stream
def read(self):
if self.needs_thread:
return eventlet.tpool.execute(self._read)
return self._read()
def write(self, data):
if self.needs_thread:
return eventlet.tpool.execute(self._write, data)
return self._write(data)
def _read(self):
return self.stream.read(2048)
def _write(self, data):
self.stream.write(data)
self.stream.flush()
class NonBlockingSimpleProcess:
def __init__(self, cmd):
self.proc = make_subprocess(cmd)
self.stdin = NonBlockingSimplePipe(self.proc.stdin)
self.stdout = NonBlockingSimplePipe(self.proc.stdout)
self.stderr = NonBlockingSimplePipe(self.proc.stderr)
def kill(self):
self.proc.kill()
def is_greenpipe(obj):
# GreenFileIO is not exposed and GreenPipe is not a class, so checking by name
return type(obj).__name__ == "GreenFileIO"
def os_terminal():
return OS_TERMINALS[sys.platform]()
def make_subprocess(obj):
def green_popen(cmd):
p = subprocess.PIPE
return green.subprocess.Popen(cmd, stdin=p, stdout=p, stderr=p, bufsize=0)
if isinstance(obj, str):
return green_popen([obj])
if isinstance(obj, list):
return green_popen(obj)
if isinstance(obj, subprocess.Popen):
return obj
if isinstance(obj, green.subprocess.Popen):
return obj
raise Exception("Invalid argument to make_subprocess: {}".format(type(obj)))
def make_simple_process(obj):
if isinstance(obj, NonBlockingSimpleProcess):
return obj
proc = make_subprocess(obj)
return NonBlockingSimpleProcess(proc)
OS_TERMINALS = {
'linux': LinuxTerminal,
'win32': WindowsTerminal
}
| 26.728477 | 114 | 0.652131 | 491 | 4,036 | 5.136456 | 0.217923 | 0.023791 | 0.021808 | 0.022205 | 0.250991 | 0.201427 | 0.201427 | 0.133228 | 0.076923 | 0.039651 | 0 | 0.002606 | 0.239346 | 4,036 | 150 | 115 | 26.906667 | 0.818893 | 0.018831 | 0 | 0.171171 | 0 | 0 | 0.052552 | 0.020465 | 0 | 0 | 0 | 0 | 0 | 1 | 0.225225 | false | 0 | 0.09009 | 0.063063 | 0.540541 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
af3c9ab2a4ffc5e73dde198e33c3f4ccce4a8ccb | 1,388 | py | Python | turnstile.py | RahulRaj97/design-pattern-fellowship | 4fa40b5d7295874da431f75e0bae148befc4d2ae | [
"MIT"
] | null | null | null | turnstile.py | RahulRaj97/design-pattern-fellowship | 4fa40b5d7295874da431f75e0bae148befc4d2ae | [
"MIT"
] | null | null | null | turnstile.py | RahulRaj97/design-pattern-fellowship | 4fa40b5d7295874da431f75e0bae148befc4d2ae | [
"MIT"
] | null | null | null | """
State is a behavioral design pattern that lets an object alter its behavior when its internal state changes.
It appears as if the object changed its class.
"""
import time
from abc import abstractmethod
class TurnstileStates():
"""
The base State class
"""
@abstractmethod
def enter(self):
pass
@abstractmethod
def pay(self):
pass
class ClosedTurnstile(TurnstileStates):
def __init__(self, g):
self.gate = g
def enter(self) :
print("You must pay $1.00")
def pay(self) :
self.gate.transition_to(ProcessPayment(self.gate))
print("Processing Payment")
class ProcessPayment(TurnstileStates):
def __init__(self,g):
self.gate=g
def enter(self) :
print("Procesing Payment")
def pay(self) :
print("Procesing Payment")
class OpenTurnstile(TurnstileStates):
def __init__(self,g):
self.gate=g
def enter(self) :
print("Client Entered")
self.gate.transition_to(ClosedTurnstile(self.gate))
print("Gate Closed")
def pay(self) :
print("Already Paid")
class Turnstile():
def __init__(self):
self.state = ClosedTurnstile(self)
def transition_to(self, state):
self.state = state
def enter(self):
self.state.enter()
def pay(self):
self.state.pay()
| 19.828571 | 109 | 0.622478 | 164 | 1,388 | 5.152439 | 0.347561 | 0.066272 | 0.071006 | 0.092308 | 0.188166 | 0.188166 | 0.188166 | 0.188166 | 0.188166 | 0.188166 | 0 | 0.002976 | 0.273775 | 1,388 | 69 | 110 | 20.115942 | 0.835317 | 0.127522 | 0 | 0.52381 | 0 | 0 | 0.090067 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.357143 | false | 0.047619 | 0.047619 | 0 | 0.52381 | 0.166667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
af42dfca82d6a6bc811b31bec4684f795be6aa0c | 8,290 | py | Python | cloudcafe/identity/v2_0/extensions/osksadm/client.py | rcbops-qa/cloudcafe | d937f85496aadafbb94a330b9adb8ea18bee79ba | [
"Apache-2.0"
] | null | null | null | cloudcafe/identity/v2_0/extensions/osksadm/client.py | rcbops-qa/cloudcafe | d937f85496aadafbb94a330b9adb8ea18bee79ba | [
"Apache-2.0"
] | null | null | null | cloudcafe/identity/v2_0/extensions/osksadm/client.py | rcbops-qa/cloudcafe | d937f85496aadafbb94a330b9adb8ea18bee79ba | [
"Apache-2.0"
] | 1 | 2020-04-13T17:44:28.000Z | 2020-04-13T17:44:28.000Z | """
Copyright 2013 Rackspace
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
"""
from cloudcafe.identity.common.client import BaseIdentityAPIClient
from cloudcafe.identity.v2_0.extensions.osksadm.models import requests
from cloudcafe.identity.v2_0.models import responses
from cloudcafe.identity.v2_0.extensions.osksadm.models.responses import (
Service, ServiceList)
class OSKSADM_Client(BaseIdentityAPIClient):
def get_users(self, requestslib_kwargs=None):
url = "{0}/users".format(self.url)
return self.get(
url, response_entity_type=responses.UserList,
requestslib_kwargs=requestslib_kwargs)
def create_user(
self, enabled=None, email=None, name=None, password=None,
tenant_id=None, requestslib_kwargs=None):
url = "{0}/users".format(self.url)
model = requests.CreateUser(
enabled=enabled, email=email, name=name, password=password,
tenant_id=tenant_id)
return self.post(
url, response_entity_type=responses.UserAlt, request_entity=model,
requestslib_kwargs=requestslib_kwargs)
def update_user(
self, url_user_id, enabled=None, email=None, name=None,
user_id=None, tenant_id=None, requestslib_kwargs=None):
url = "{0}/users/{1}".format(self.url, url_user_id)
model = requests.UpdateUser(
enabled=enabled, email=email, name=name, id_=user_id,
tenant_id=tenant_id)
return self.put(
url, response_entity_type=responses.UserAlt, request_entity=model,
requestslib_kwargs=requestslib_kwargs)
def delete_user(self, user_id, requestslib_kwargs=None):
url = "{0}/users/{1}".format(self.url, user_id)
return self.delete(url, requestslib_kwargs=requestslib_kwargs)
def get_user_global_roles(self, user_id, requestslib_kwargs=None):
url = "{0}/users/{1}/roles".format(self.url, user_id)
return self.get(
url, response_entity_type=responses.RoleList,
requestslib_kwargs=requestslib_kwargs)
def add_global_role_to_user(
self, user_id, role_id, requestslib_kwargs=None):
url = "{0}/users/{1}/roles/{2}".format(self.url, user_id, role_id)
return self.put(url, requestslib_kwargs=requestslib_kwargs)
def delete_global_role_from_user(
self, user_id, role_id, requestslib_kwargs=None):
url = "{0}/users/{1}/roles/{2}".format(self.url, user_id, role_id)
return self.delete(url, requestslib_kwargs=requestslib_kwargs)
def create_tenant(
self, name=None, description=None, enabled=None,
requestslib_kwargs=None):
url = "{0}/tenants".format(self.url)
model = requests.CreateTenant(
name=name, description=description, enabled=enabled)
return self.post(
url, response_entity_type=responses.Tenant, request_entity=model,
requestslib_kwargs=requestslib_kwargs)
def update_tenant(
self, url_tenant_id, name=None, description=None, enabled=None,
tenant_id=None, requestslib_kwargs=None):
url = "{0}/tenants/{1}".format(self.url, url_tenant_id)
model = requests.UpdateTenant(
name=name, description=description, enabled=enabled, id_=tenant_id)
return self.put(
url, response_entity_type=responses.Tenant, request_entity=model,
requestslib_kwargs=requestslib_kwargs)
def delete_tenant(self, tenant_id, requestslib_kwargs=None):
url = "{0}/tenants/{1}".format(self.url, tenant_id)
return self.delete(url, requestslib_kwargs=requestslib_kwargs)
def get_users_for_tenant(
self, tenant_id, marker=None, limit=None, requestslib_kwargs=None):
params = {}
if marker:
params["marker"] = marker
if limit:
params["limit"] = limit
url = "{0}/tenants/{1}/users".format(self.url, tenant_id)
return self.get(
url, response_entity_type=responses.UserList, params=params,
requestslib_kwargs=requestslib_kwargs)
def add_role_to_user_for_tenant(
self, tenant_id, user_id, role_id, requestslib_kwargs=None):
url = "{0}/tenants/{1}/users/{2}/roles/OS-KSADM/{3}".format(
self.url, tenant_id, user_id, role_id)
return self.put(url, requestslib_kwargs=requestslib_kwargs)
def delete_role_from_user_for_tenant(
self, tenant_id, user_id, role_id, requestslib_kwargs=None):
url = "{0}/tenants/{1}/users/{2}/roles/OS-KSADM/{3}".format(
self.url, tenant_id, user_id, role_id)
return self.delete(url, requestslib_kwargs=requestslib_kwargs)
def get_role_by_name(self, name, requestslib_kwargs=None):
url = "{0}/OS-KSADM/roles".format(self.url)
params = {"name": name}
return self.get(
url, params=params, response_entity_type=responses.Role,
requestslib_kwargs=requestslib_kwargs)
def create_role(
self, role_id=None, name=None, description=None,
requestslib_kwargs=None):
url = "{0}/OS-KSADM/roles".format(self.url)
model = requests.CreateRole(
id_=role_id, name=name, description=description)
return self.post(
url, response_entity_type=responses.Role, request_entity=model,
requestslib_kwargs=requestslib_kwargs)
def get_roles(self, requestslib_kwargs=None):
url = "{0}/OS-KSADM/roles".format(self.url)
return self.get(
url, response_entity_type=responses.RoleList,
requestslib_kwargs=requestslib_kwargs)
def get_role_by_id(self, role_id, requestslib_kwargs=None):
url = "{0}/OS-KSADM/roles/{1}".format(self.url, role_id)
return self.get(
url, response_entity_type=responses.Role,
requestslib_kwargs=requestslib_kwargs)
def delete_role(
self, role_id, requestslib_kwargs=None):
url = "{0}/OS-KSADM/roles/{1}".format(self.url, role_id)
return self.delete(url, requestslib_kwargs=requestslib_kwargs)
def get_services(self, marker=None, limit=None, requestslib_kwargs=None):
params = {}
if marker:
params["marker"] = marker
if limit:
params["limit"] = limit
url = "{0}/OS-KSADM/services".format(self.url)
return self.get(
url, response_entity_type=ServiceList,
requestslib_kwargs=requestslib_kwargs)
def create_service(
self, service_id=None, name=None, type_=None, description=None,
requestslib_kwargs=None):
url = "{0}/OS-KSADM/services".format(self.url)
model = requests.CreateService(
id_=service_id, name=name, type_=type_, description=description)
return self.post(
url, request_entity=model, response_entity_type=Service,
requestslib_kwargs=requestslib_kwargs)
def get_service_by_name(self, name=None, requestslib_kwargs=None):
url = "{0}/OS-KSADM/services".format(self.url)
params = {"name": name}
return self.get(
url, params=params, response_entity_type=Service,
requestslib_kwargs=requestslib_kwargs)
def get_service_by_id(self, service_id, requestslib_kwargs=None):
url = "{0}/OS-KSADM/services/{1}".format(self.url, service_id)
return self.get(
url, response_entity_type=Service,
requestslib_kwargs=requestslib_kwargs)
def delete_service(self, service_id, requestslib_kwargs=None):
url = "{0}/OS-KSADM/services/{1}".format(self.url, service_id)
return self.delete(url, requestslib_kwargs=requestslib_kwargs)
| 42.731959 | 79 | 0.670084 | 1,037 | 8,290 | 5.141755 | 0.124397 | 0.219993 | 0.090585 | 0.146662 | 0.796137 | 0.771943 | 0.675731 | 0.657727 | 0.609152 | 0.560015 | 0 | 0.00887 | 0.224849 | 8,290 | 193 | 80 | 42.953368 | 0.820884 | 0.066224 | 0 | 0.562914 | 0 | 0 | 0.064658 | 0.040347 | 0 | 0 | 0 | 0 | 0 | 1 | 0.152318 | false | 0.013245 | 0.02649 | 0 | 0.337748 | 0 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
af503485e3bcb9e015c81e6a4dc54582b4d0ae9c | 146 | py | Python | license/apps.py | KieranSweeden/fol.io | a6f231e3f9fb96841387b04d72131470c5fc3239 | [
"OLDAP-2.5",
"OLDAP-2.4",
"OLDAP-2.3"
] | 2 | 2021-06-15T16:46:50.000Z | 2021-07-01T04:36:17.000Z | license/apps.py | KieranSweeden/fol.io | a6f231e3f9fb96841387b04d72131470c5fc3239 | [
"OLDAP-2.5",
"OLDAP-2.4",
"OLDAP-2.3"
] | 1 | 2021-07-07T07:01:22.000Z | 2021-07-07T07:01:22.000Z | license/apps.py | KieranSweeden/fol.io | a6f231e3f9fb96841387b04d72131470c5fc3239 | [
"OLDAP-2.5",
"OLDAP-2.4",
"OLDAP-2.3"
] | 2 | 2022-01-17T02:45:58.000Z | 2022-01-26T23:16:09.000Z | from django.apps import AppConfig
class LicenseConfig(AppConfig):
default_auto_field = 'django.db.models.BigAutoField'
name = 'license'
| 20.857143 | 56 | 0.760274 | 17 | 146 | 6.411765 | 0.882353 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.150685 | 146 | 6 | 57 | 24.333333 | 0.879032 | 0 | 0 | 0 | 0 | 0 | 0.246575 | 0.19863 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
af7bd58497bf1affcffbccc30d92bf647657f2bf | 1,895 | py | Python | spark_auto_mapper_fhir/value_sets/encounter_location_status.py | imranq2/SparkAutoMapper.FHIR | dd23b218fb0097d1edc2f3e688e8d6d4d7278bd2 | [
"Apache-2.0"
] | 1 | 2020-10-31T23:25:07.000Z | 2020-10-31T23:25:07.000Z | spark_auto_mapper_fhir/value_sets/encounter_location_status.py | icanbwell/SparkAutoMapper.FHIR | 98f368e781b46523142c7cb513c670d659a93c9b | [
"Apache-2.0"
] | null | null | null | spark_auto_mapper_fhir/value_sets/encounter_location_status.py | icanbwell/SparkAutoMapper.FHIR | 98f368e781b46523142c7cb513c670d659a93c9b | [
"Apache-2.0"
] | null | null | null | from __future__ import annotations
from spark_auto_mapper_fhir.fhir_types.uri import FhirUri
from spark_auto_mapper_fhir.value_sets.generic_type import GenericTypeCode
from spark_auto_mapper.type_definitions.defined_types import AutoMapperTextInputType
# This file is auto-generated by generate_classes so do not edit manually
# noinspection PyPep8Naming
class EncounterLocationStatusCode(GenericTypeCode):
"""
EncounterLocationStatus
From: http://hl7.org/fhir/encounter-location-status in valuesets.xml
The status of the location.
"""
def __init__(self, value: AutoMapperTextInputType):
super().__init__(value=value)
"""
http://hl7.org/fhir/encounter-location-status
"""
codeset: FhirUri = "http://hl7.org/fhir/encounter-location-status"
class EncounterLocationStatusCodeValues:
"""
The patient is planned to be moved to this location at some point in the
future.
From: http://hl7.org/fhir/encounter-location-status in valuesets.xml
"""
Planned = EncounterLocationStatusCode("planned")
"""
The patient is currently at this location, or was between the period
specified.
A system may update these records when the patient leaves the location to
either reserved, or completed.
From: http://hl7.org/fhir/encounter-location-status in valuesets.xml
"""
Active = EncounterLocationStatusCode("active")
"""
This location is held empty for this patient.
From: http://hl7.org/fhir/encounter-location-status in valuesets.xml
"""
Reserved = EncounterLocationStatusCode("reserved")
"""
The patient was at this location during the period specified.
Not to be used when the patient is currently at the location.
From: http://hl7.org/fhir/encounter-location-status in valuesets.xml
"""
Completed = EncounterLocationStatusCode("completed")
| 33.839286 | 84 | 0.73562 | 229 | 1,895 | 5.973799 | 0.366812 | 0.035819 | 0.05117 | 0.071637 | 0.322368 | 0.255117 | 0.255117 | 0.201023 | 0.201023 | 0.201023 | 0 | 0.005151 | 0.180475 | 1,895 | 55 | 85 | 34.454545 | 0.875724 | 0.196834 | 0 | 0 | 0 | 0 | 0.097656 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0.307692 | 0 | 0.923077 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
af7d1a6a67abf71b68102358cc9c069a202e77d7 | 381 | py | Python | web/api/routers.py | samuelfirst/nemoobot | b74ad66d4f2052eaba14e4b79e20c3da274b5909 | [
"MIT"
] | 1 | 2021-01-30T09:19:37.000Z | 2021-01-30T09:19:37.000Z | web/api/routers.py | samuelfirst/nemoobot | b74ad66d4f2052eaba14e4b79e20c3da274b5909 | [
"MIT"
] | 2 | 2020-12-21T20:57:19.000Z | 2021-01-26T08:08:09.000Z | web/api/routers.py | samuelfirst/nemoobot | b74ad66d4f2052eaba14e4b79e20c3da274b5909 | [
"MIT"
] | 1 | 2020-12-22T07:42:42.000Z | 2020-12-22T07:42:42.000Z | from rest_framework import routers
from api import views as api_views
router = routers.DefaultRouter()
router.register(r'users', api_views.UserViewSet)
router.register(r'tokens', api_views.TokenViewSet)
router.register(r'settings', api_views.SettingViewSet)
router.register(r'custom_commands', api_views.CustomCommandsViewSet)
router.register(r'notices', api_views.NoticeViewSet)
| 38.1 | 68 | 0.834646 | 51 | 381 | 6.078431 | 0.45098 | 0.154839 | 0.241935 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.062992 | 381 | 9 | 69 | 42.333333 | 0.868347 | 0 | 0 | 0 | 0 | 0 | 0.107612 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.25 | 0 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
af7d2747338ac6bec7dac968f19b7c31a3092ac3 | 1,627 | py | Python | apps/productos/migrations/0005_auto_20180407_1223.py | franciscosf/PalerpWebSite | 3a92a6e3019ac02d0661259e6e3af8fca5e39dc9 | [
"MIT"
] | null | null | null | apps/productos/migrations/0005_auto_20180407_1223.py | franciscosf/PalerpWebSite | 3a92a6e3019ac02d0661259e6e3af8fca5e39dc9 | [
"MIT"
] | null | null | null | apps/productos/migrations/0005_auto_20180407_1223.py | franciscosf/PalerpWebSite | 3a92a6e3019ac02d0661259e6e3af8fca5e39dc9 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.9.6 on 2018-04-07 17:23
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('productos', '0004_auto_20180407_1210'),
]
operations = [
migrations.AddField(
model_name='compra',
name='codigo_autorizacion',
field=models.CharField(max_length=11, null=True),
),
migrations.AddField(
model_name='compra',
name='email',
field=models.CharField(max_length=150, null=True),
),
migrations.AddField(
model_name='compra',
name='froma_pago',
field=models.CharField(max_length=21, null=True),
),
migrations.AddField(
model_name='compra',
name='medio_pago',
field=models.CharField(max_length=21, null=True),
),
migrations.AddField(
model_name='compra',
name='nombre_tarjeta_habiente',
field=models.CharField(max_length=201, null=True),
),
migrations.AddField(
model_name='compra',
name='numero_pedido',
field=models.IntegerField(null=True),
),
migrations.AddField(
model_name='compra',
name='numero_tarjeta',
field=models.CharField(max_length=24, null=True),
),
migrations.AlterField(
model_name='compra',
name='fecha',
field=models.DateTimeField(null=True),
),
]
| 29.053571 | 62 | 0.559926 | 158 | 1,627 | 5.582278 | 0.392405 | 0.081633 | 0.136054 | 0.172336 | 0.572562 | 0.441043 | 0.399093 | 0.399093 | 0.297052 | 0.181406 | 0 | 0.041742 | 0.32268 | 1,627 | 55 | 63 | 29.581818 | 0.758621 | 0.04118 | 0 | 0.520833 | 1 | 0 | 0.114965 | 0.029544 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.041667 | 0 | 0.104167 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
af82310e151d9ec8b5f2d9af76f12bf5661b6026 | 297 | py | Python | Services/SaveEmbeddingService.py | miguel-kjh/ReID-in-Sport-competitions | c7abd47e6ce659aa73e76f797215941a11416981 | [
"MIT"
] | 5 | 2021-06-30T07:41:42.000Z | 2022-01-20T17:57:36.000Z | Services/SaveEmbeddingService.py | miguel-kjh/ReID-in-Sport-competitions | c7abd47e6ce659aa73e76f797215941a11416981 | [
"MIT"
] | null | null | null | Services/SaveEmbeddingService.py | miguel-kjh/ReID-in-Sport-competitions | c7abd47e6ce659aa73e76f797215941a11416981 | [
"MIT"
] | null | null | null | from abc import abstractmethod
class SaveEmbeddingService:
@abstractmethod
def saveBodyInformation(self,
filename: str,
embediddingCollection: dict) -> None:
pass
@abstractmethod
def loadInformation(self, filename: str):
pass
| 21.214286 | 55 | 0.62963 | 23 | 297 | 8.130435 | 0.695652 | 0.181818 | 0.160428 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.313131 | 297 | 13 | 56 | 22.846154 | 0.916667 | 0 | 0 | 0.4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0.2 | 0.1 | 0 | 0.4 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
af888a1803a4835d344a58ca68071f9ed710c3cf | 547 | py | Python | soup/migrations/0005_auto_20180712_1226.py | aaron-meinema/cooksite | 2c987e6933a44bfa985d15c77a71860782ba751e | [
"BSD-3-Clause"
] | null | null | null | soup/migrations/0005_auto_20180712_1226.py | aaron-meinema/cooksite | 2c987e6933a44bfa985d15c77a71860782ba751e | [
"BSD-3-Clause"
] | null | null | null | soup/migrations/0005_auto_20180712_1226.py | aaron-meinema/cooksite | 2c987e6933a44bfa985d15c77a71860782ba751e | [
"BSD-3-Clause"
] | null | null | null | # Generated by Django 2.1b1 on 2018-07-12 12:26
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('soup', '0004_auto_20180712_1217'),
]
operations = [
migrations.AlterField(
model_name='content',
name='type',
field=models.CharField(max_length=50),
),
migrations.AlterField(
model_name='contentline',
name='content_line',
field=models.CharField(max_length=256),
),
]
| 22.791667 | 51 | 0.581353 | 55 | 547 | 5.636364 | 0.672727 | 0.129032 | 0.16129 | 0.187097 | 0.187097 | 0 | 0 | 0 | 0 | 0 | 0 | 0.094987 | 0.30713 | 547 | 23 | 52 | 23.782609 | 0.722955 | 0.082267 | 0 | 0.235294 | 1 | 0 | 0.122 | 0.046 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.058824 | 0 | 0.235294 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
af9b6690fa1bee847307735c2b73b8bd55aa01fd | 376 | py | Python | src/data/load_dataset/twitter_predict.py | 42-AI/DemocracyWatcher | 14028eb210259e07347f4ee05546255be69356cc | [
"MIT"
] | 3 | 2022-03-05T14:09:38.000Z | 2022-03-07T21:08:39.000Z | src/data/load_dataset/twitter_predict.py | 42-AI/DemocracyWatcher | 14028eb210259e07347f4ee05546255be69356cc | [
"MIT"
] | 56 | 2022-03-05T14:54:37.000Z | 2022-03-29T21:52:02.000Z | src/data/load_dataset/twitter_predict.py | 42-AI/SentimentalBB | 14028eb210259e07347f4ee05546255be69356cc | [
"MIT"
] | null | null | null | import pandas as pd
import numpy as np
from unidecode import unidecode
import os
from src import config
def get_tweets_csv(csv_path: str) -> np.array:
df = pd.read_csv(csv_path)
X = df['text'].apply(lambda row: unidecode(row)).to_numpy()
return X
def get_tweets_df(df) -> np.array:
X = df['text'].apply(lambda row: unidecode(row)).to_numpy()
return X
| 20.888889 | 63 | 0.696809 | 64 | 376 | 3.953125 | 0.421875 | 0.118577 | 0.094862 | 0.094862 | 0.371542 | 0.371542 | 0.371542 | 0.371542 | 0.371542 | 0.371542 | 0 | 0 | 0.183511 | 376 | 17 | 64 | 22.117647 | 0.824104 | 0 | 0 | 0.333333 | 0 | 0 | 0.021277 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.416667 | 0 | 0.75 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
afb8f8d7032d23d92bbc198cc9aa27285b17959d | 191 | py | Python | honeybot/plugins/downloaded/comic/info.py | hailenwashere/honeybot | 95a6cd54283db1dcd4b33b9d281a7f6e1056ec09 | [
"MIT"
] | 60 | 2019-06-04T13:57:38.000Z | 2021-10-19T10:17:56.000Z | honeybot/plugins/downloaded/comic/info.py | hailenwashere/honeybot | 95a6cd54283db1dcd4b33b9d281a7f6e1056ec09 | [
"MIT"
] | 70 | 2019-06-04T13:59:53.000Z | 2021-10-05T10:14:16.000Z | honeybot/plugins/downloaded/comic/info.py | hailenwashere/honeybot | 95a6cd54283db1dcd4b33b9d281a7f6e1056ec09 | [
"MIT"
] | 95 | 2019-06-04T15:13:42.000Z | 2021-08-09T17:15:35.000Z |
NAME = 'comic.py'
ORIGINAL_AUTHORS = [
'Miguel Boekhold'
]
ABOUT = '''
Returns a random comic from xkcd
'''
COMMANDS = '''
>>> .comic
returns a url of a random comic
'''
WEBSITE = ''
| 11.235294 | 32 | 0.617801 | 24 | 191 | 4.875 | 0.708333 | 0.136752 | 0.205128 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.225131 | 191 | 16 | 33 | 11.9375 | 0.790541 | 0 | 0 | 0.166667 | 0 | 0 | 0.531579 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
afc624142b7319f64089353bbcad4e8376cdec6c | 283 | py | Python | ScalableLSH/Deploy/client.py | USCDataScience/cmu-fg-bg-similarity | d8fc9a53937551f7a052bc2c6f442bcc29ea2615 | [
"Apache-2.0"
] | 8 | 2020-04-13T21:40:26.000Z | 2022-01-22T11:32:31.000Z | ScalableLSH/Deploy/client.py | USCDataScience/cmu-fg-bg-similarity | d8fc9a53937551f7a052bc2c6f442bcc29ea2615 | [
"Apache-2.0"
] | null | null | null | ScalableLSH/Deploy/client.py | USCDataScience/cmu-fg-bg-similarity | d8fc9a53937551f7a052bc2c6f442bcc29ea2615 | [
"Apache-2.0"
] | null | null | null | import zmq
context = zmq.Context()
socket = context.socket(zmq.REQ)
socket.connect("tcp://localhost:5555")
socket.send(b"http://10.3.2.61/~ubuntu/projects/001_backpage/dataset/corpus/ImagesNevada/Nevada_2012_10_10_1349862492000_4_0.jpg" + "\0")
message = socket.recv()
print message
| 35.375 | 137 | 0.777385 | 44 | 283 | 4.840909 | 0.727273 | 0.093897 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.139098 | 0.060071 | 283 | 7 | 138 | 40.428571 | 0.661654 | 0 | 0 | 0 | 0 | 0.142857 | 0.480565 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.142857 | null | null | 0.142857 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
bb61e8e1807ed497f73f967386d10e1d15cedd1d | 857 | py | Python | userlib/analysislib/paco_analysis/kepco_trace.py | specialforcea/labscript_suite | a4ad5255207cced671990fff94647b1625aa0049 | [
"BSD-2-Clause"
] | null | null | null | userlib/analysislib/paco_analysis/kepco_trace.py | specialforcea/labscript_suite | a4ad5255207cced671990fff94647b1625aa0049 | [
"BSD-2-Clause"
] | null | null | null | userlib/analysislib/paco_analysis/kepco_trace.py | specialforcea/labscript_suite | a4ad5255207cced671990fff94647b1625aa0049 | [
"BSD-2-Clause"
] | null | null | null |
from __future__ import division
from lyse import *
from pylab import *
from analysislib.common.fit_gaussian_2d import fit_2d
from analysislib.common.traces import *
from analysislib.spinor.aliases import *
from time import time
from scipy.ndimage import *
from mpl_toolkits.axes_grid1 import make_axes_locatable
import os
import pandas as pd
import numpy as np
import numexpr as ne
import matplotlib.gridspec as gridspec
from analysislib import fit_table
# Parameters
pixel_size = 5.6e-6/4 # Divided by Magnification Factor
# Time stamp
print '\nRunning %s' % os.path.basename(__file__)
t = time()
def print_time(s):
print 't = %6.3f : %s' % ((time()-t), s)
# Run dataframe
run = Run(path)
x_trace, y_trace = run.get_trace('trace_fluxgate')
plot(x_trace, y_trace, 'r')
xlabel('t (s)')
ylabel('output (V)')
title('fluxgate_trace')
tight_layout() | 23.162162 | 56 | 0.757293 | 135 | 857 | 4.614815 | 0.525926 | 0.080257 | 0.067416 | 0.038523 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.012228 | 0.14119 | 857 | 37 | 57 | 23.162162 | 0.834239 | 0.07818 | 0 | 0 | 0 | 0 | 0.089172 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.555556 | null | null | 0.111111 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 2 |
bb86f8d5b85e4257863e4e1ca13ac1f757f41a08 | 600 | py | Python | quite/gui/widgets/__init__.py | Wingsgo/PyQtGraphEmbedded | e1992606c7beacde6b24ea5c858ba26a800accdd | [
"MIT"
] | null | null | null | quite/gui/widgets/__init__.py | Wingsgo/PyQtGraphEmbedded | e1992606c7beacde6b24ea5c858ba26a800accdd | [
"MIT"
] | null | null | null | quite/gui/widgets/__init__.py | Wingsgo/PyQtGraphEmbedded | e1992606c7beacde6b24ea5c858ba26a800accdd | [
"MIT"
] | null | null | null | from .widget import Widget
from .dialog import Dialog
from .main_window import MainWindow
from .group_box import GroupBox
from .dock_widget import DockWidget
from .label import Label
from .line_edit import LineEdit
from .date_edit import DateEdit
from .combo_box import ComboBox
from .list_widget import ListWidget
from .spin_box import SpinBox
from .double_spin_box import DoubleSpinBox
from .input_dialog import InputDialog
from .action import Action
from .shortcut import Shortcut
from .push_button import PushButton
from .table_widget import TableWidget
from .plot_widget import PlotWidget
| 24 | 42 | 0.84 | 86 | 600 | 5.697674 | 0.430233 | 0.122449 | 0.053061 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.13 | 600 | 24 | 43 | 25 | 0.938697 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 2 |
bb94aace1e75eec15ebd05cb7335f95aec142ae3 | 156 | py | Python | AnalysisServer/visomics/vtk/celeryconfig.py | Kitware/Visomics | 5a12f132d826c32dececbd2707e920f4d5525da3 | [
"Apache-2.0"
] | 3 | 2015-05-03T05:14:50.000Z | 2017-03-29T14:54:49.000Z | AnalysisServer/visomics/vtk/celeryconfig.py | Kitware/Visomics | 5a12f132d826c32dececbd2707e920f4d5525da3 | [
"Apache-2.0"
] | null | null | null | AnalysisServer/visomics/vtk/celeryconfig.py | Kitware/Visomics | 5a12f132d826c32dececbd2707e920f4d5525da3 | [
"Apache-2.0"
] | 1 | 2017-03-29T15:04:16.000Z | 2017-03-29T15:04:16.000Z | BROKER_URL = "mongodb://arbor/celery"
CELERY_RESULT_BACKEND = "mongodb"
CELERY_MONGODB_BACKEND_SETTINGS = {
"host": "arbor",
"database": "celery"
}
| 22.285714 | 37 | 0.705128 | 17 | 156 | 6.117647 | 0.588235 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.141026 | 156 | 6 | 38 | 26 | 0.776119 | 0 | 0 | 0 | 0 | 0 | 0.333333 | 0.141026 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
bb96474ea735e41dc6f943767bcd55a7a5ec7f8f | 1,692 | py | Python | CS-1520-Web-Applications/Project 4/models.py | solomonheisey/University_Projects | b95cc87ad9ef8aaad3b12b3fb8564f580adf189b | [
"MIT"
] | 1 | 2021-09-26T19:27:42.000Z | 2021-09-26T19:27:42.000Z | CS-1520-Web-Applications/Project 4/models.py | solomonheisey/University_Projects | b95cc87ad9ef8aaad3b12b3fb8564f580adf189b | [
"MIT"
] | null | null | null | CS-1520-Web-Applications/Project 4/models.py | solomonheisey/University_Projects | b95cc87ad9ef8aaad3b12b3fb8564f580adf189b | [
"MIT"
] | null | null | null | from flask_sqlalchemy import SQLAlchemy
db = SQLAlchemy()
class User(db.Model):
user_id = db.Column(db.Integer, unique=True, primary_key=True)
username = db.Column(db.String(80), unique=True, nullable=False)
password = db.Column(db.String(64), nullable=False)
purchases = db.relationship('Purchase', backref='user', lazy=True)
categories = db.relationship('Category', backref='user', lazy=True)
def __init__(self, username, password):
self.username = username
self.password = password
class Category(db.Model):
category_id = db.Column(db.Integer, unique=True, primary_key=True)
category_name = db.Column(db.String(80), nullable=False)
limit = db.Column(db.Float, nullable=False)
purchases = db.relationship('Purchase', backref='category', lazy=True)
user_id = db.Column(db.Integer, db.ForeignKey('user.user_id'))
def __init__(self, category_name, limit, user_id):
self.category_name = category_name
self.limit = limit
self.user_id = user_id
class Purchase(db.Model):
purchase_id = db.Column(db.Integer, unique=True, primary_key=True)
amount = db.Column(db.Float, nullable=False)
description = db.Column(db.String(80))
date = db.Column(db.DateTime, nullable=False)
category_id = db.Column(db.Integer, db.ForeignKey('category.category_id'), nullable=False)
user_id = db.Column(db.Integer, db.ForeignKey('user.user_id'), nullable=False)
def __init__(self, amount, description, date, category_id, user_id):
self.amount = amount
self.description = description
self.date = date
self.category_id = category_id
self.user_id = user_id
| 37.6 | 94 | 0.697991 | 228 | 1,692 | 5.013158 | 0.175439 | 0.090989 | 0.113736 | 0.062992 | 0.43832 | 0.36308 | 0.307962 | 0.191601 | 0.191601 | 0.191601 | 0 | 0.005735 | 0.175532 | 1,692 | 44 | 95 | 38.454545 | 0.81362 | 0 | 0 | 0.058824 | 0 | 0 | 0.049645 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.088235 | false | 0.088235 | 0.029412 | 0 | 0.676471 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2 |
bb967c74251fcdb3fe23b5a069fbddcc0ca3facd | 4,355 | py | Python | A03vankirkj.py | spring-2019-csc-226/a03-master | 7be446b28d5aebfc4c4635cc418db0c0c0fadbca | [
"MIT"
] | null | null | null | A03vankirkj.py | spring-2019-csc-226/a03-master | 7be446b28d5aebfc4c4635cc418db0c0c0fadbca | [
"MIT"
] | 4 | 2019-02-07T06:26:00.000Z | 2019-02-19T00:08:43.000Z | A03vankirkj.py | spring-2019-csc-226/a03-master | 7be446b28d5aebfc4c4635cc418db0c0c0fadbca | [
"MIT"
] | 1 | 2019-02-07T02:23:37.000Z | 2019-02-07T02:23:37.000Z | ################################################################################
# Author:Justin Vankirk
# Username:vankirkj
#
# Assignment:A03
# https://docs.google.com/document/d/1upvTP9Z7BehzY-HqRqI9Uh2F3cD19rZi_MtArv0Tn_M/edit?usp=sharing
#################################################################################
# Acknowledgements: Azah and I made the stars
#
#
#################################################################################
import turtle
def makesquare(): #makes the square outline
square = turtle.Turtle()
square.penup()
square.setpos(-241, 241)
square.pendown()
square.pensize(20)
square.color("white")
for i in range(4):
square.forward(500)
square.right(90)
"""
Docstring for function_1
"""
# ...
def boustraphedon():
fanciness = turtle.Turtle() #stars!!!
fanciness.pensize(20)
fanciness.penup()
fanciness.setpos(-221, 221)
fanciness.pendown()
fanciness.speed(100)
for i in range(5): ###This is the algorythm for our stars.###
for i in range(11):
fanciness.forward(20)
fanciness.right(90)
fanciness.forward(20)
fanciness.right(90)
fanciness.forward(20)
fanciness.left(90)
fanciness.forward(20)
fanciness.left(90)
fanciness.forward(20)
fanciness.right(90)
fanciness.forward(20)
fanciness.right(90)
fanciness.forward(20)
fanciness.right(180)
fanciness.forward(60)
fanciness.left(180)
for i in range(11):
fanciness.forward(20)
fanciness.right(90)
fanciness.forward(20)
fanciness.right(90)
fanciness.forward(20)
fanciness.left(90)
fanciness.forward(20)
fanciness.left(90)
fanciness.forward(20)
fanciness.right(90)
fanciness.forward(20)
fanciness.right(90)
fanciness.forward(20)
fanciness.right(180)
fanciness.backward(20)
fanciness.left(180)
for i in range(11): #if we continued this last loop, it would be impossible to keep the snake inside the box.
fanciness.forward(20) #We subtracted this last line of code in order to fix it.
fanciness.right(90)
fanciness.forward(20)
fanciness.right(90)
fanciness.forward(20)
fanciness.left(90)
fanciness.forward(20)
fanciness.left(90)
fanciness.forward(20)
fanciness.right(90)
fanciness.forward(20)
fanciness.right(90)
fanciness.forward(20)
fanciness.right(180)
fanciness.forward(60)
fanciness.left(180)
for i in range(11):
fanciness.forward(20)
fanciness.right(90)
fanciness.forward(20)
fanciness.right(90)
fanciness.forward(20)
fanciness.left(90)
fanciness.forward(20)
fanciness.left(90)
fanciness.forward(20)
fanciness.right(90)
fanciness.forward(20)
fanciness.right(90)
fanciness.forward(20)
fanciness.right(180)
fanciness.left(180)
"""
Create the background
"""
# ...
def makeskyscraper():
skyscraper = turtle.Turtle() #makes the skyscrapers base
skyscraper.color(115,115,200)
skyscraper.width(10)
skyscraper.penup()
skyscraper.setpos(-100,-245)
skyscraper.pendown()
skyscraper.begin_fill()
skyscraper.forward(100)
skyscraper.left(90)
skyscraper.forward(400)
skyscraper.left(90)
skyscraper.forward(100)
skyscraper.left(90)
skyscraper.forward(400)
skyscraper.end_fill()
def door():
door = turtle.Turtle() #skyscraper door
door.penup()
door.setpos(-75, -245)
door.pendown()
door.begin_fill()
for i in range(2):
door.forward(30)
door.left(90)
door.forward(50)
door.left(90)
door.end_fill()
door.hideturtle()
def main():
"""
This actually runs the code.
"""
# ...
makesquare() # Function call to function_1
boustraphedon() # Function call to function_2
makeskyscraper()
door()
window = turtle.Screen()
window.bgcolor("yellow")
window.colormode(255)
main()
window.exitonclick() | 25.467836 | 131 | 0.568772 | 465 | 4,355 | 5.307527 | 0.258065 | 0.194489 | 0.204214 | 0.295381 | 0.495138 | 0.492707 | 0.492707 | 0.492707 | 0.480956 | 0.480956 | 0 | 0.073516 | 0.269116 | 4,355 | 171 | 132 | 25.467836 | 0.701854 | 0.125373 | 0 | 0.6 | 0 | 0 | 0.003187 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04 | false | 0 | 0.008 | 0 | 0.048 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
bba012c730f2c271cad587086805b8ecd429093d | 279 | py | Python | zoo_checks/migrations/0033_merge_20200216_2228.py | falkben/zoo-checks | b1d6cf980088664b1feded4a1e08a82c6f358c33 | [
"Apache-2.0"
] | null | null | null | zoo_checks/migrations/0033_merge_20200216_2228.py | falkben/zoo-checks | b1d6cf980088664b1feded4a1e08a82c6f358c33 | [
"Apache-2.0"
] | 3 | 2019-06-01T14:56:19.000Z | 2019-06-03T13:53:27.000Z | zoo_checks/migrations/0033_merge_20200216_2228.py | falkben/zoo-checks | b1d6cf980088664b1feded4a1e08a82c6f358c33 | [
"Apache-2.0"
] | null | null | null | # Generated by Django 2.2.9 on 2020-02-17 03:28
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('zoo_checks', '0032_auto_20200203_0000'),
('zoo_checks', '0030_auto_20200207_2126'),
]
operations = [
]
| 18.6 | 50 | 0.655914 | 35 | 279 | 5 | 0.8 | 0.102857 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.217593 | 0.225806 | 279 | 14 | 51 | 19.928571 | 0.592593 | 0.16129 | 0 | 0 | 1 | 0 | 0.284483 | 0.198276 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.125 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
bba3bcdc84ec759af64f4f1942e13a67470a56b6 | 1,475 | py | Python | portais_tech/portais_tech/items.py | naanadr/portais-noticias-tech | 6d3f8164ce4ac590b2a21cd1b9eb44951a2cc7e3 | [
"MIT"
] | 2 | 2020-02-22T05:25:32.000Z | 2020-02-23T23:47:46.000Z | portais_tech/portais_tech/items.py | naanadr/portais-noticias-tech | 6d3f8164ce4ac590b2a21cd1b9eb44951a2cc7e3 | [
"MIT"
] | null | null | null | portais_tech/portais_tech/items.py | naanadr/portais-noticias-tech | 6d3f8164ce4ac590b2a21cd1b9eb44951a2cc7e3 | [
"MIT"
] | null | null | null | import scrapy
from scrapy.loader.processors import MapCompose, TakeFirst
def get_autor(value):
editado_msg = ','
if editado_msg in value:
value = value.split(editado_msg)[0]
return value
def get_revisor(value):
editado_msg = ' por '
if editado_msg in value:
value = value.split(editado_msg)[1]
return value
def qtd_comentarios(value):
if 'comentários' in value:
value = value.split(' ')[0]
return int(value)
class PortaisTechItem(scrapy.Item):
spider = scrapy.Field(
input_processor=TakeFirst(),
output_processor=TakeFirst(),
)
url = scrapy.Field(
input_processor=TakeFirst(),
output_processor=TakeFirst(),
)
titulo = scrapy.Field(
input_processor=TakeFirst(),
output_processor=TakeFirst(),
)
qtd_comentarios = scrapy.Field(
input_processor=MapCompose(qtd_comentarios),
output_processor=TakeFirst(),
)
autor = scrapy.Field(
input_processor=MapCompose(get_autor),
output_processor=TakeFirst(),
)
revisor = scrapy.Field(
input_processor=MapCompose(get_revisor),
output_processor=TakeFirst(),
)
data_publicacao = scrapy.Field(
input_processor=TakeFirst(),
output_processor=TakeFirst(),
)
referencias = scrapy.Field()
conteudo_relacionado = scrapy.Field(
input_processor=MapCompose(get_revisor),
)
tags = scrapy.Field()
| 23.790323 | 58 | 0.652203 | 153 | 1,475 | 6.084967 | 0.267974 | 0.212675 | 0.137487 | 0.214823 | 0.542428 | 0.481203 | 0.440387 | 0.343716 | 0.094522 | 0.094522 | 0 | 0.002698 | 0.246102 | 1,475 | 61 | 59 | 24.180328 | 0.834532 | 0 | 0 | 0.34 | 0 | 0 | 0.012203 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.06 | false | 0 | 0.04 | 0 | 0.38 | 0 | 0 | 0 | 0 | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
bba41467d75ce74f68e5c4f722cce19e2307e934 | 1,047 | py | Python | phi/tf/flow.py | eliasdjo/PhiFlow | dc88dca696d25a5ea5793aa48fae390469f0d829 | [
"MIT"
] | null | null | null | phi/tf/flow.py | eliasdjo/PhiFlow | dc88dca696d25a5ea5793aa48fae390469f0d829 | [
"MIT"
] | null | null | null | phi/tf/flow.py | eliasdjo/PhiFlow | dc88dca696d25a5ea5793aa48fae390469f0d829 | [
"MIT"
] | null | null | null | # pylint: disable-msg = wildcard-import, unused-wildcard-import, unused-import
"""
Standard import for TensorFlow mode.
Extends the import `from phi.flow import *` by TensorFlow-related functions and modules.
The following TensorFlow modules are included: `tensorflow` / `tf`, `keras`, `layers`.
Importing this module registers the TensorFlow backend as the default backend unless called within a backend context.
New tensors created via `phi.math` functions will be backed by TensorFlow tensors.
See `phi.flow`, `phi.torch.flow`, `phi.jax.flow`.
"""
from phi.flow import *
from . import TENSORFLOW
from .nets import parameter_count, dense_net, u_net, save_state, load_state, update_weights, adam
import tensorflow
from tensorflow import keras
from tensorflow.keras import layers
from ..math.backend import PHI_LOGGER as _LOGGER
tf = tensorflow
if not backend.context_backend():
backend.set_global_default_backend(TENSORFLOW)
else:
_LOGGER.warn(f"Importing '{__name__}' within a backend context will not set the default backend.")
| 34.9 | 117 | 0.782235 | 148 | 1,047 | 5.418919 | 0.472973 | 0.026185 | 0.049875 | 0.042394 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.133715 | 1,047 | 29 | 118 | 36.103448 | 0.884234 | 0.520535 | 0 | 0 | 0 | 0 | 0.163968 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.666667 | 0 | 0.666667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
bbac2fab32aea03bab604d536c47b51151cc2aff | 322 | py | Python | aio.api.github/aio/api/github/utils.py | Nordix/pytooling | b48e70e9098c283d0f17db8016d2f32a2b103a57 | [
"Apache-2.0"
] | 1 | 2021-12-09T19:24:48.000Z | 2021-12-09T19:24:48.000Z | aio.api.github/aio/api/github/utils.py | Nordix/pytooling | b48e70e9098c283d0f17db8016d2f32a2b103a57 | [
"Apache-2.0"
] | 392 | 2021-08-24T15:55:32.000Z | 2022-03-28T14:26:22.000Z | aio.api.github/aio/api/github/utils.py | Nordix/pytooling | b48e70e9098c283d0f17db8016d2f32a2b103a57 | [
"Apache-2.0"
] | 3 | 2021-10-06T13:43:11.000Z | 2021-11-29T13:48:56.000Z |
from datetime import datetime
# these only deal with utc but are good enough for working with the
# github api
def dt_from_js_isoformat(iso: str) -> datetime:
return datetime.fromisoformat(iso.replace("Z", "+00:00"))
def dt_to_js_isoformat(dt: datetime) -> str:
return dt.isoformat().replace("+00:00", "Z")
| 21.466667 | 67 | 0.714286 | 50 | 322 | 4.48 | 0.58 | 0.044643 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.02963 | 0.161491 | 322 | 14 | 68 | 23 | 0.8 | 0.236025 | 0 | 0 | 0 | 0 | 0.057851 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.4 | false | 0 | 0.2 | 0.4 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 |
bbb7e11e28b9d116064e13a1a85c12306a593ab3 | 944 | py | Python | rpiRobot/src/vision/infrastructure/openCvCameraCalibrationFactory.py | olgam4/design3 | 6e05d123a24deae7dda646df535844a158ef5cc0 | [
"WTFPL"
] | null | null | null | rpiRobot/src/vision/infrastructure/openCvCameraCalibrationFactory.py | olgam4/design3 | 6e05d123a24deae7dda646df535844a158ef5cc0 | [
"WTFPL"
] | null | null | null | rpiRobot/src/vision/infrastructure/openCvCameraCalibrationFactory.py | olgam4/design3 | 6e05d123a24deae7dda646df535844a158ef5cc0 | [
"WTFPL"
] | null | null | null | from os import path
import numpy as np
from vision.domain.iCameraCalibration import ICameraCalibration
from vision.domain.iCameraCalibrationFactory import ICameraCalibrationFactory
from vision.infrastructure.fallbackCameraCalibration import FallBackCameraCalibration
from vision.infrastructure.openCvCameraCalibration import OpenCvCameraCalibration
class OpenCvCameraCalibrationFactory(ICameraCalibrationFactory):
def load_calibration_from_file(self, calibration_file_path: path, image_width: int,
image_height: int) -> ICameraCalibration:
if calibration_file_path is None:
return FallBackCameraCalibration()
arrays = np.load(calibration_file_path)
camera_matrix = arrays['camera_matrix']
distortion_coefficients = arrays['distortion_coefficients']
return OpenCvCameraCalibration(camera_matrix, distortion_coefficients, image_width, image_height)
| 42.909091 | 105 | 0.791314 | 86 | 944 | 8.465116 | 0.395349 | 0.054945 | 0.078297 | 0.093407 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.162076 | 944 | 21 | 106 | 44.952381 | 0.920354 | 0 | 0 | 0 | 0 | 0 | 0.038136 | 0.024364 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.4 | 0 | 0.666667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
bbbb0192d6eca0fc8ff5dffd0716d00687768996 | 236 | py | Python | custom/icds_reports/migrations/0032_create_datasource_views.py | rochakchauhan/commcare-hq | aa7ab3c2d0c51fe10f2b51b08101bb4b5a376236 | [
"BSD-3-Clause"
] | 1 | 2020-07-14T13:00:23.000Z | 2020-07-14T13:00:23.000Z | custom/icds_reports/migrations/0032_create_datasource_views.py | rochakchauhan/commcare-hq | aa7ab3c2d0c51fe10f2b51b08101bb4b5a376236 | [
"BSD-3-Clause"
] | 1 | 2021-06-02T04:45:16.000Z | 2021-06-02T04:45:16.000Z | custom/icds_reports/migrations/0032_create_datasource_views.py | rochakchauhan/commcare-hq | aa7ab3c2d0c51fe10f2b51b08101bb4b5a376236 | [
"BSD-3-Clause"
] | null | null | null | # Generated by Django 1.11.9 on 2018-01-17 20:33
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('icds_reports', '0031_agg_child_health_definitions'),
]
operations = []
| 18.153846 | 62 | 0.690678 | 30 | 236 | 5.266667 | 0.9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.106383 | 0.20339 | 236 | 12 | 63 | 19.666667 | 0.734043 | 0.194915 | 0 | 0 | 1 | 0 | 0.239362 | 0.175532 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.166667 | 0 | 0.666667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
bbbdc89756b388bfe27f53df9eee4b4e8d1f4eb6 | 502 | py | Python | NotebookIndex/notebook_index/views_catalog.py | ahriknow/ahriknow | 817b5670c964e01ffe19ed182ce0a7b42e17ce09 | [
"MIT"
] | null | null | null | NotebookIndex/notebook_index/views_catalog.py | ahriknow/ahriknow | 817b5670c964e01ffe19ed182ce0a7b42e17ce09 | [
"MIT"
] | 3 | 2021-03-19T01:28:43.000Z | 2021-04-08T19:57:19.000Z | NotebookIndex/notebook_index/views_catalog.py | ahriknow/ahriknow | 817b5670c964e01ffe19ed182ce0a7b42e17ce09 | [
"MIT"
] | null | null | null | from rest_framework.response import Response
from rest_framework.views import APIView
from NotebookIndex.notebook_index.serializer import ManyCatalog
from NotebookManage.notebook.models import Book, Catalog
class CatalogView(APIView):
def get(self, request, id=None):
catalog = Catalog.objects.filter(book=Book.objects.filter(pk=id).first())
data = ManyCatalog(instance=catalog, many=True).data
return Response({'code': 200, 'msg': 'Query was successful!', 'data': data})
| 41.833333 | 84 | 0.752988 | 63 | 502 | 5.952381 | 0.619048 | 0.042667 | 0.090667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006928 | 0.13745 | 502 | 11 | 85 | 45.636364 | 0.859122 | 0 | 0 | 0 | 0 | 0 | 0.063745 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.444444 | 0 | 0.777778 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
bbbf17a3996e84b02e39f13c5f1c38c29bc3dbf7 | 69 | py | Python | code5.py | adarshjudoka212/pythonprogramme | 1b3865ddc6060deebd74529ce294b152d5c8f25d | [
"MIT"
] | null | null | null | code5.py | adarshjudoka212/pythonprogramme | 1b3865ddc6060deebd74529ce294b152d5c8f25d | [
"MIT"
] | null | null | null | code5.py | adarshjudoka212/pythonprogramme | 1b3865ddc6060deebd74529ce294b152d5c8f25d | [
"MIT"
] | null | null | null | def fun():
a=89
str="adar"
return[a,str];
print(fun())
| 9.857143 | 19 | 0.492754 | 11 | 69 | 3.090909 | 0.727273 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.040816 | 0.289855 | 69 | 6 | 20 | 11.5 | 0.653061 | 0 | 0 | 0 | 0 | 0 | 0.058824 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0 | 0 | 0.2 | 0.2 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
bbc18009172fe74ebffc98185da2c2c7d1d02c99 | 223 | py | Python | idk.py | vishalkotha22/codingprojects | afe262dbd43779a798e29b41bf272c25cf40e9a5 | [
"CC0-1.0"
] | null | null | null | idk.py | vishalkotha22/codingprojects | afe262dbd43779a798e29b41bf272c25cf40e9a5 | [
"CC0-1.0"
] | null | null | null | idk.py | vishalkotha22/codingprojects | afe262dbd43779a798e29b41bf272c25cf40e9a5 | [
"CC0-1.0"
] | null | null | null | from sklearn.tree import DecisionTreeClassifier
from sklearn import EstimatorObject
dtree = DecisionTreeClassifier()
dtree.fit(df(['Age', 'Distance']), df['Attended'])
model = EstimatorObject()
cart_plot(dtree) | 22.3 | 51 | 0.748879 | 23 | 223 | 7.217391 | 0.652174 | 0.13253 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.134529 | 223 | 10 | 52 | 22.3 | 0.860104 | 0 | 0 | 0 | 0 | 0 | 0.088372 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 0.333333 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 2 |
bbd792287fa96d060acafa0bf57cd96849e6b87e | 226 | py | Python | JavPy/functions/magnet.py | generaljun/JavPy | e2b5488631c0979c643a2f86ba4cd8bb1709e2f8 | [
"Apache-2.0"
] | 1 | 2020-07-30T08:48:17.000Z | 2020-07-30T08:48:17.000Z | JavPy/functions/magnet.py | liqiang0330/JavPy | e2b5488631c0979c643a2f86ba4cd8bb1709e2f8 | [
"Apache-2.0"
] | null | null | null | JavPy/functions/magnet.py | liqiang0330/JavPy | e2b5488631c0979c643a2f86ba4cd8bb1709e2f8 | [
"Apache-2.0"
] | 2 | 2020-07-30T06:30:23.000Z | 2020-07-30T08:48:19.000Z | from JavPy.functions.sources import Sources
class Magnet:
@staticmethod
def get_magnet(code):
return Sources.Magnet[0].search_magnet(code)
if __name__ == '__main__':
print(Magnet.get_magnet("ABP-123"))
| 18.833333 | 52 | 0.707965 | 29 | 226 | 5.137931 | 0.689655 | 0.120805 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.021505 | 0.176991 | 226 | 11 | 53 | 20.545455 | 0.77957 | 0 | 0 | 0 | 0 | 0 | 0.066372 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0.142857 | 0.142857 | 0.571429 | 0.142857 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 |
bbf01995eb69cea6c6ed666e3fa906757fea63d6 | 268 | py | Python | xd.py | Felipe17Programmer/Proyectos_Python | 14f52e31c188928e00128df01c78977d5a6265f8 | [
"Apache-2.0"
] | null | null | null | xd.py | Felipe17Programmer/Proyectos_Python | 14f52e31c188928e00128df01c78977d5a6265f8 | [
"Apache-2.0"
] | null | null | null | xd.py | Felipe17Programmer/Proyectos_Python | 14f52e31c188928e00128df01c78977d5a6265f8 | [
"Apache-2.0"
] | null | null | null | def insertar(lista,elemento):
for i in range(len(lista)):
if elemento < len(lista):
lista.insert(i-1,elemento)
if elemento > len(lista):
lista.insert(i-1,elemento)
print lista
listax=[2,3,4,5,7,8,9]
insertar(listax,50)
| 24.363636 | 38 | 0.597015 | 41 | 268 | 3.902439 | 0.536585 | 0.15 | 0.1625 | 0.225 | 0.4875 | 0.4875 | 0.4875 | 0.4875 | 0.4875 | 0 | 0 | 0.055276 | 0.257463 | 268 | 10 | 39 | 26.8 | 0.748744 | 0 | 0 | 0.222222 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0 | null | null | 0.111111 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
bbf13d9662a378fc31095e8da03cbd5cf4af3556 | 780 | py | Python | imports.py | MarcusTL12/PyCalc | b846f90eddb75acbb126ac2f8e1d2a4c52e77a2f | [
"Apache-2.0"
] | null | null | null | imports.py | MarcusTL12/PyCalc | b846f90eddb75acbb126ac2f8e1d2a4c52e77a2f | [
"Apache-2.0"
] | null | null | null | imports.py | MarcusTL12/PyCalc | b846f90eddb75acbb126ac2f8e1d2a4c52e77a2f | [
"Apache-2.0"
] | null | null | null | import sys
sys.path.append('./PyScr/')
import numpy as np
import matplotlib.pyplot as plt
import cmath
import math
import copy
import pfprint
import primefac
from scipy.special import comb as choose
_ = None
def ppprint(arg):
global _
pfprint.pfprint(arg)
_ = arg
def frac():
pfprint.frac = not pfprint.frac
return _
def denom_lim(n):
pfprint.denom_lim = n
def num_dec(n):
pfprint.num_dec = n
def pltclr():
plt.cla()
plt.clf()
plt.close()
def fact(n):
return math.factorial(n)
def primesS(n):
return primefac.primes_to_string(primefac.primes(n))
def primes(n):
return primefac.primes(n)
sys.displayhook = ppprint
pi = np.pi
e = np.exp(1)
sqrt = np.sqrt
predef_globals = len(globals()) + 1
def loc():
return dict(list(globals().items())[predef_globals:])
| 15 | 54 | 0.719231 | 125 | 780 | 4.392 | 0.456 | 0.029144 | 0.032787 | 0.076503 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00303 | 0.153846 | 780 | 51 | 55 | 15.294118 | 0.828788 | 0 | 0 | 0 | 0 | 0 | 0.010256 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.230769 | false | 0 | 0.230769 | 0.102564 | 0.589744 | 0.179487 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 |
bbf38dbff6c0d07f5bba50b7978d774fa6484af7 | 222 | py | Python | python/python_work2/liebiao2.py | lucycore/python | c1c49e52392615851c0efec886d0e947b609681c | [
"Apache-2.0"
] | null | null | null | python/python_work2/liebiao2.py | lucycore/python | c1c49e52392615851c0efec886d0e947b609681c | [
"Apache-2.0"
] | null | null | null | python/python_work2/liebiao2.py | lucycore/python | c1c49e52392615851c0efec886d0e947b609681c | [
"Apache-2.0"
] | null | null | null |
names = ["duanzijie","zhaokeer","lijiaxi","zhuzi","wangwenbo","gongyijun"]
print(names)
print(names[0])
print(names[1])
print(names[2])
print(names[3])
print(names[4])
print(names[5])
hi = "hi" + " " + name[1]
print(hi) | 17.076923 | 74 | 0.648649 | 33 | 222 | 4.363636 | 0.484848 | 0.486111 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.034826 | 0.094595 | 222 | 13 | 75 | 17.076923 | 0.681592 | 0 | 0 | 0 | 0 | 0 | 0.225225 | 0 | 0.1 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.8 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 |
a526bbe3ed8747ce16ae5d5867a5d7fc89df59e7 | 4,411 | py | Python | tests/designMethods/test_en_13001_input.py | tum-fml/marsDemonstrator | 49f45d883eea27b678f10ec6e385e4c0d2e3b409 | [
"CC0-1.0"
] | 1 | 2021-05-12T20:06:03.000Z | 2021-05-12T20:06:03.000Z | tests/designMethods/test_en_13001_input.py | tum-fml/marsDemonstrator | 49f45d883eea27b678f10ec6e385e4c0d2e3b409 | [
"CC0-1.0"
] | null | null | null | tests/designMethods/test_en_13001_input.py | tum-fml/marsDemonstrator | 49f45d883eea27b678f10ec6e385e4c0d2e3b409 | [
"CC0-1.0"
] | null | null | null | import unittest
import pathlib
import numpy as np
from marsDemonstrator.designMethods.en_13001_3_3 import MARSInput # pylint: disable=import-error
class En_test(unittest.TestCase):
def setUp(self) -> None:
self.config = "m1"
self.direction = 1
parent_path = pathlib.Path(__file__).parent.parent.absolute()
input_file = parent_path / "testdata" / "test_material_input.xlsx"
self.my_input = MARSInput()
self.my_input.load_material_input_check(input_file, "rail_materials", "wheel_materials")
self.my_input.load_geometry_input_check(input_file, "rail_geometries", "wheel_geometries")
self.my_input.read_input_df(input_file)
self.my_input.load_parameter_input("EN-13001-3-3")
self.my_input.set_materials_and_geometry()
self.my_input.parameters.compute_contact_and_f_1()
self.my_input.parameters.compute_f_f3()
# load results
self.expected_results_geometry = self.my_input.input_df.loc["Results Geometry", :].copy()
self.expected_results_geometry.index = self.expected_results_geometry.iloc[:, 0]
self.expected_results_geometry = self.expected_results_geometry.drop(self.expected_results_geometry.columns[0], axis=1)
self.expected_results_geometry = self.expected_results_geometry.transpose()
self.expected_results_geometry.index = range(len(self.expected_results_geometry))
self.expected_results_materials = self.my_input.input_df.loc["Results Material", :].copy()
self.expected_results_materials.index = self.expected_results_materials.iloc[:, 0]
self.expected_results_materials = self.expected_results_materials.drop(self.expected_results_materials.columns[0], axis=1)
self.expected_results_materials = self.expected_results_materials.transpose()
self.expected_results_materials.index = range(len(self.expected_results_materials))
def test_material_parameters(self) -> None:
np.testing.assert_almost_equal(list(self.expected_results_materials["res_E_r"]), list(self.my_input.parameters.materials["rail"]["E"]))
np.testing.assert_almost_equal(list(self.expected_results_materials["res_f_y_r"]), list(self.my_input.parameters.materials["rail"]["f_y"]))
np.testing.assert_almost_equal(list(self.expected_results_materials["res_HB_r"]), list(self.my_input.parameters.materials["rail"]["HB"]))
np.testing.assert_almost_equal(list(self.expected_results_materials["res_z_r"]), list(self.my_input.parameters.materials["rail"]["z"]))
np.testing.assert_almost_equal(list(self.expected_results_materials["res_v_r"]), list(self.my_input.parameters.materials["rail"]["v"]))
np.testing.assert_almost_equal(list(self.expected_results_materials["res_E_w"]), list(self.my_input.parameters.materials["wheel"]["E"]))
np.testing.assert_almost_equal(list(self.expected_results_materials["res_f_y_w"]), list(self.my_input.parameters.materials["wheel"]["f_y"]))
np.testing.assert_almost_equal(list(self.expected_results_materials["res_HB_w"]), list(self.my_input.parameters.materials["wheel"]["HB"]))
np.testing.assert_almost_equal(list(self.expected_results_materials["res_z_w"]), list(self.my_input.parameters.materials["wheel"]["z"]))
np.testing.assert_almost_equal(list(self.expected_results_materials["res_v_w"]), list(self.my_input.parameters.materials["wheel"]["v"]))
def test_computed_geometry(self) -> None:
# np.testing.assert_almost_equal(list(self.my_input.parameters.data["E_m_test"]), list(self.my_input.parameters.data["E_m"]))
np.testing.assert_almost_equal(list(self.expected_results_geometry["res_b_min"]), list(self.my_input.parameters.gen_params["b_min"]))
self.assertEqual(list(self.expected_results_geometry["res_contact"]), list(self.my_input.parameters.gen_params["contact"]))
np.testing.assert_almost_equal(list(self.expected_results_geometry["res_f_1"]), list(self.my_input.parameters.gen_params["f_1"]))
np.testing.assert_almost_equal(list(self.expected_results_geometry["res_r_k"]), list(self.my_input.parameters.gen_params["r_k"]))
np.testing.assert_almost_equal(list(self.expected_results_geometry["res_f_f3"]), list(self.my_input.parameters.gen_params["f_f3"]))
if __name__ == "__main_":
unittest.main()
| 72.311475 | 149 | 0.745409 | 606 | 4,411 | 5.056106 | 0.150165 | 0.137076 | 0.217037 | 0.182768 | 0.732376 | 0.644909 | 0.619125 | 0.54406 | 0.302872 | 0.286554 | 0 | 0.007231 | 0.122195 | 4,411 | 60 | 150 | 73.516667 | 0.784091 | 0.037406 | 0 | 0 | 0 | 0 | 0.082736 | 0.005739 | 0 | 0 | 0 | 0 | 0.319149 | 1 | 0.06383 | false | 0 | 0.085106 | 0 | 0.170213 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
a52b918f09c0f902f3048f04f7dc503f0ed7c971 | 215 | py | Python | hermes/regulars.py | SOBotics/Hermes | af2d8befe4e332019a04c8ceee3f8ebe975f9f8e | [
"MIT"
] | null | null | null | hermes/regulars.py | SOBotics/Hermes | af2d8befe4e332019a04c8ceee3f8ebe975f9f8e | [
"MIT"
] | 5 | 2018-09-18T10:03:41.000Z | 2019-06-03T17:12:30.000Z | hermes/regulars.py | SOBotics/SoundFlow | af2d8befe4e332019a04c8ceee3f8ebe975f9f8e | [
"MIT"
] | null | null | null | """
User defined here are allowed to use privileged bot commands
"""
regulars = [
965146, #Shree
4946380, #Mithrandir
5067311, #Andras Deak
397817, #Stephen Kennedy
6707985, #geisterfurz007
]
| 17.916667 | 60 | 0.674419 | 23 | 215 | 6.304348 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.219512 | 0.237209 | 215 | 11 | 61 | 19.545455 | 0.664634 | 0.539535 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
a539b9bbbd63b6a5db6c6b7404fcbce1d7230f25 | 18,860 | py | Python | rps3env/tests/rps3_game_test.py | islamelnabarawy/rps3env | e7728a5c310fa82a9fa9b65a628cb77e4efbc425 | [
"Apache-2.0"
] | null | null | null | rps3env/tests/rps3_game_test.py | islamelnabarawy/rps3env | e7728a5c310fa82a9fa9b65a628cb77e4efbc425 | [
"Apache-2.0"
] | null | null | null | rps3env/tests/rps3_game_test.py | islamelnabarawy/rps3env | e7728a5c310fa82a9fa9b65a628cb77e4efbc425 | [
"Apache-2.0"
] | null | null | null | """
Copyright 2019 Islam Elnabarawy
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 logging
import random
import sys
import unittest
import gym
from gym import Space, spaces
import rps3env.config
from rps3env.envs import RPS3GameEnv, RPS3GameMinMaxEnv
from rps3env.tests.utils import captured_output
__author__ = 'Islam Elnabarawy'
logger = logging.getLogger(__name__)
logger.setLevel(rps3env.config.ENV_LOG_LEVEL)
logger.addHandler(logging.StreamHandler(sys.stdout))
EMPTY_BOARD = """
..
.. .. ..
.. .. ..
.. .. ..
.. .. .. .. ..
.. .. ..
.. .. ..
.. .. ..
.. .. ..
..
..
.. .. ..
.. .. ..
.. .. ..
.. .. .. .. ..
.. .. ..
.. .. ..
.. .. ..
.. .. ..
..
Turns: 0
Player Counts: [0, 0, 0]
Player Reveals: [0, 0, 0]
Opponent Captures: [0, 0, 0]
Opponent Counts: [0, 0, 0, 0]
Probabilities: [0.0, 0.0, 0.0]"""
INIT_BOARD = """
OP
OR .. OS
OP .. OR
OS .. OS
OP .. .. .. OR
PS .. PR
PP .. PP
PR .. PS
PS .. PR
PP
PP
PR .. PS
PP .. PR
PS .. PS
PP .. .. .. PR
OU .. OU
OU .. OU
OU .. OU
OU .. OU
OU
Turns: 0
Player Counts: [3, 3, 3]
Player Reveals: [0, 0, 0]
Opponent Captures: [0, 0, 0]
Opponent Counts: [0, 0, 0, 9]
Probabilities: [0.3333333333333333, 0.3333333333333333, 0.3333333333333333]"""
OBS_BEFORE_BOARD_INIT = {
'occupied': [False] * 28,
'player_owned': [False] * 28,
'piece_type': [-1] * 28,
'player_captures': [0, 0, 0],
'opponent_captures': [0, 0, 0],
}
OBS_AFTER_BOARD_INIT = {
'occupied': [True] * 18 + [False] * 10,
'player_owned': [True] * 9 + [False] * 19,
'piece_type': [1, 2, 3] * 3 + [0] * 9 + [-1] * 10,
'player_captures': [0, 0, 0],
'opponent_captures': [0, 0, 0],
}
OBS_AFTER_LEGAL_MOVE = {
'occupied': [False, True, True, True, True, True, True, True, True, True, True, True, True, True, True, False, True,
True, True, False, False, False, False, False, False, True, False, False],
'player_owned': [False, True, True, True, True, True, True, True, True, False, False, False, False, False, False,
False, False, False, True, False, False, False, False, False, False, False, False, False],
'piece_type': [-1, 2, 3, 1, 2, 3, 1, 2, 3, 0, 0, 0, 0, 0, 0, -1, 0, 0, 1, -1, -1, -1, -1, -1, -1, 0, -1, -1],
'player_captures': [0, 0, 0],
'opponent_captures': [0, 0, 0],
}
OBS_AFTER_CHALLENGE_WIN = {
'occupied': [True, True, True, True, True, True, True, True, False, True, True, True, True, True, True, True, False,
True, False, False, False, False, False, False, False, False, True, False],
'player_owned': [True, True, True, True, True, True, True, True, False, True, False, False, False, False, False,
False, False, False, False, False, False, False, False, False, False, False, False, False],
'piece_type': [1, 2, 3, 1, 2, 3, 1, 2, -1, 3, 0, 0, 0, 0, 0, 0, -1, 0, -1, -1, -1, -1, -1, -1, -1, -1, 0, -1],
'player_captures': [0, 0, 0],
'opponent_captures': [0, 1, 0],
}
OBS_AFTER_CHALLENGE_TIE = {
'occupied': [True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, False, True,
True, False, False, False, False, False, False, False, True, False, False],
'player_owned': [True, True, True, True, True, True, True, True, True, False, False, False, False, False, False,
False, False, False, False, False, False, False, False, False, False, False, False, False],
'piece_type': [1, 2, 3, 1, 2, 3, 1, 2, 3, 0, 0, 0, 0, 0, 0, -1, 0, 1, -1, -1, -1, -1, -1, -1, -1, 0, -1, -1],
'player_captures': [0, 0, 0],
'opponent_captures': [0, 0, 0],
}
OBS_AFTER_CHALLENGE_LOSS = {
'occupied': [True, True, True, True, True, True, True, True, False, True, True, True, True, True, True, True, True,
True, False, False, False, False, False, False, False, False, False, False],
'player_owned': [True, True, True, True, True, True, True, True, False, False, False, False, False, False, False,
False, False, False, False, False, False, False, False, False, False, False, False, False],
'piece_type': [1, 2, 3, 1, 2, 3, 1, 2, -1, 1, 0, 0, 0, 0, 0, 0, 0, 1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1],
'player_captures': [0, 0, 1],
'opponent_captures': [0, 0, 0],
}
OBS_AFTER_FULL_GAME = {
'occupied': [True, True, True, True, True, True, False, True, False, False, False, False, False, True, False, False,
True, False, True, False, False, False, False, True, True, True, True, True],
'player_owned': [True, True, True, True, True, True, False, True, False, False, False, False, False, True, False,
False, False, False, False, False, False, False, False, False, False, False, False, True],
'piece_type': [1, 2, 3, 1, 2, 3, -1, 2, -1, -1, -1, -1, -1, 3, -1, -1, 0, -1, 0, -1, -1, -1, -1, 3, 0, 0, 1, 1],
'player_captures': [0, 0, 0],
'opponent_captures': [0, 3, 0],
}
OBS_AFTER_TAKE_ALL_PIECES = {
'occupied': [False, False, True, False, True, True, True, True, False, False, False, False, False, False, False,
False, False, True, False, False, False, False, False, False, True, False, False, False],
'piece_type': [-1, -1, 3, -1, 2, 3, 1, 2, -1, -1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1, -1, 2, -1, -1,
-1],
'player_owned': [False, False, True, False, True, True, True, True, False, False, False, False, False, False, False,
False, False, True, False, False, False, False, False, False, True, False, False, False],
'player_captures': [1, 0, 1],
'opponent_captures': [3, 3, 3],
}
OBS_AFTER_LOSE_ALL_PIECES = {
'occupied': [True, False, False, False, False, False, False, True, False, False, False, True, False, True, False,
False, True, True, False, False, False, False, False, True, False, False, False, False],
'piece_type': [1, -1, -1, -1, -1, -1, -1, 3, -1, -1, -1, 0, -1, 0, -1, -1, 0, 1, -1, -1, -1, -1, -1, 2, -1, -1, -1,
-1],
'player_owned': [False, False, False, False, False, False, False, False, False, False, False, False, False, False,
False, False, False, False, False, False, False, False, False, False, False, False, False, False],
'player_captures': [3, 3, 3],
'opponent_captures': [0, 2, 0],
}
AVAILABLE_ACTIONS_AFTER_INIT = [
(0, 17), (0, 18), (1, 18), (2, 19), (3, 19), (4, 20), (5, 20), (6, 21), (7, 21), (8, 9), (8, 22)
]
class RPS3GameEnvTest(unittest.TestCase):
def setUp(self):
self.env = gym.make('RPS3Game-v0') # type: RPS3GameEnv
def tearDown(self):
self.env.close()
def init_board(self):
self.env.reset()
obs, reward, done, info = self.env.step([1, 2, 3] * 3)
return obs, reward, done, info
def step_assert(self, obs_actual, reward_actual, done_actual, info_actual,
obs_expected, reward_expected=None, done_expected=False, info_expected=None):
if reward_expected is None:
reward_expected = [0, 0]
self.assertEqual(obs_expected, obs_actual)
self.assertEqual(reward_expected, reward_actual)
self.assertEqual(done_expected, done_actual)
if info_expected is not None:
for k in info_expected.keys():
self.assertEqual(info_expected[k], info_actual[k])
def test_initializable(self):
self.assertIsNotNone(self.env, msg='gym.make() returned None.')
def test_action_space_pre_reset(self):
self.assertRaises(ValueError, lambda: self.env.action_space)
def test_action_space_pre_init(self):
self.env.reset()
self.assertIsInstance(self.env.action_space, Space)
self.assertEqual(9, self.env.action_space.shape[0])
self.assertEqual(3, max(self.env.action_space.nvec))
self.assertEqual(3, min(self.env.action_space.nvec))
def test_action_space_post_init(self):
self.init_board()
self.assertIsInstance(self.env.action_space, Space)
self.assertEqual(2, self.env.action_space.shape[0])
self.assertEqual(27, max(self.env.action_space.nvec))
self.assertEqual(27, min(self.env.action_space.nvec))
def test_observation_space(self):
self.assertIsInstance(self.env.observation_space, spaces.Dict)
obs_sp = self.env.observation_space.spaces
self.assertEqual(5, len(obs_sp))
self.assertEqual(28, obs_sp['occupied'].n)
self.assertEqual(28, obs_sp['player_owned'].n)
piece_type = obs_sp['piece_type']
self.assertEqual(28, piece_type.shape[0])
self.assertEqual(3, max(piece_type.nvec))
self.assertEqual(3, min(piece_type.nvec))
player_captures = obs_sp['player_captures']
self.assertEqual(3, player_captures.shape[0])
self.assertEqual(3, max(player_captures.nvec))
self.assertEqual(3, min(player_captures.nvec))
opponent_captures = obs_sp['opponent_captures']
self.assertEqual(3, opponent_captures.shape[0])
self.assertEqual(3, max(opponent_captures.nvec))
self.assertEqual(3, min(opponent_captures.nvec))
def test_reward_range(self):
self.assertEqual(-100, self.env.reward_range[0])
self.assertEqual(100, self.env.reward_range[1])
def test_step_before_reset(self):
self.assertRaises(ValueError, lambda: self.env.step([1, 2, 3] * 3))
def test_reset(self):
actual = self.env.reset()
expected = OBS_BEFORE_BOARD_INIT
self.assertEqual(expected, actual)
def test_render_empty_board(self):
self.env.reset()
actual = self.env.render(mode='ansi')
self.assertEqual(EMPTY_BOARD, actual)
def test_output_empty_board(self):
self.env.reset()
with captured_output() as (out, err):
self.env.render(mode='console')
self.assertEqual(EMPTY_BOARD, out.getvalue().rstrip())
def test_set_board(self):
self.env.seed()
obs, reward, done, info = self.init_board()
self.step_assert(obs, reward, done, info, OBS_AFTER_BOARD_INIT)
def test_render_set_board(self):
self.env.seed(0)
self.init_board()
actual = self.env.render(mode='ansi')
self.assertEqual(INIT_BOARD, actual)
def test_render_human(self):
self.env.seed(0)
self.init_board()
self.env.render(mode='human')
done = False
while not done:
self.env.render(mode='human')
action = random.choice(self.env.available_actions)
obs, reward, done, info = self.env.step(action)
self.env.render(mode='human')
def test_render_rgb_array(self):
self.env.seed(0)
self.init_board()
self.env.render(mode='rgb_array')
done = False
while not done:
self.env.render(mode='rgb_array')
action = random.choice(self.env.available_actions)
obs, reward, done, info = self.env.step(action)
self.env.render(mode='rgb_array')
def test_render_invalid_mode(self):
self.init_board()
self.assertRaises(gym.error.UnsupportedMode, lambda: self.env.render('invalid'))
def test_pre_init_available_actions(self):
self.assertRaises(ValueError, lambda: self.env.available_actions)
def test_init_available_actions(self):
self.env.reset()
available_actions = self.env.available_actions
random.seed(0)
self.assertIsInstance(random.choice(available_actions), list)
self.assertEqual(362880, len(available_actions))
def test_game_available_actions(self):
self.init_board()
available_actions = self.env.available_actions
self.assertEqual(AVAILABLE_ACTIONS_AFTER_INIT, available_actions)
def test_post_game_available_actions(self):
self.init_board()
done = False
while not done:
_, _, done, _ = self.env.step(random.choice(self.env.available_actions))
self.assertRaises(ValueError, lambda: self.env.available_actions)
def test_malformed_move(self):
self.env.seed(0)
self.init_board()
self.assertRaises(AssertionError, lambda: self.env.step(()))
self.assertRaises(AssertionError, lambda: self.env.step((0,)))
def test_illegal_moves(self):
self.env.seed(0)
self.init_board()
self.assertRaises(AssertionError, lambda: self.env.step((0, 1)))
self.assertRaises(AssertionError, lambda: self.env.step((0, 19)))
self.assertRaises(AssertionError, lambda: self.env.step((0, 27)))
def test_legal_move(self):
self.env.seed(0)
self.init_board()
obs, reward, done, info = self.env.step((0, 18))
self.step_assert(obs, reward, done, info, OBS_AFTER_LEGAL_MOVE, info_expected={'round': 1})
def test_challenge_tie(self):
self.env.seed(0)
self.init_board()
obs, reward, done, info = self.env.step((0, 17))
self.step_assert(obs, reward, done, info, OBS_AFTER_CHALLENGE_TIE, info_expected={'round': 1})
def test_challenge_win(self):
self.env.seed(0)
self.init_board()
obs, reward, done, info = self.env.step((8, 9))
self.step_assert(obs, reward, done, info, OBS_AFTER_CHALLENGE_WIN,
reward_expected=[1, 0], info_expected={'round': 1})
def test_challenge_loss(self):
self.env.seed(2)
self.init_board()
obs, reward, done, info = self.env.step((8, 9))
self.step_assert(obs, reward, done, info, OBS_AFTER_CHALLENGE_LOSS,
reward_expected=[-1, 0], info_expected={'round': 1})
def test_full_game(self):
self.env.seed(0)
self.init_board()
moves = [(8, 9), (9, 22), (22, 23), (23, 11), (11, 23), (23, 11), (11, 12), (12, 13), (6, 21)]
for move in moves:
self.env.step(move)
obs, reward, done, info = self.env.step((21, 27))
self.step_assert(obs, reward, done, info, OBS_AFTER_FULL_GAME,
reward_expected=[100, 0], done_expected=True, info_expected={'round': 10})
def test_full_game_take_all_pieces(self):
self.env.seed(0)
self.env.reset()
self.env.step([2, 1, 3, 1, 2, 3, 1, 2, 3])
moves = [(0, 17), (1, 18), (18, 26), (26, 16), (16, 26), (26, 25), (17, 16), (16, 15), (25, 14), (8, 22),
(22, 23), (23, 11), (11, 23), (23, 24), (24, 13), (13, 24), (3, 19), (19, 18), (18, 26), (26, 17),
(15, 25)]
for move in moves:
self.env.step(move)
obs, reward, done, info = self.env.step((25, 24))
self.step_assert(obs, reward, done, info, OBS_AFTER_TAKE_ALL_PIECES,
reward_expected=[101, 0], done_expected=True, info_expected={'round': len(moves) + 1})
def test_full_game_lose_all_pieces(self):
self.env.seed(0)
self.env.reset()
self.env.step([3, 2, 1, 3, 2, 1, 3, 2, 1])
moves = [(0, 17), (8, 9), (3, 19), (19, 27), (27, 25), (7, 21), (21, 27), (1, 18), (18, 27), (4, 20), (20, 21),
(2, 19), (19, 27), (6, 7), (5, 6), (7, 8), (8, 22), (6, 7), (7, 8), (8, 9), (22, 27), (9, 22),
(22, 23), (27, 26)]
for move in moves:
self.env.step(move)
obs, reward, done, info = self.env.step((26, 17))
self.step_assert(obs, reward, done, info, OBS_AFTER_LOSE_ALL_PIECES,
reward_expected=[-101, 0], done_expected=True, info_expected={'round': len(moves) + 1})
class RPS3GameMinMaxEnvTest(unittest.TestCase):
def setUp(self):
self.env = gym.make('RPS3Game-v1') # type: RPS3GameMinMaxEnv
def tearDown(self):
self.env.close()
def test_random_play_level_1_1(self):
self.play_randomly(0, 1, 27)
def test_random_play_level_1_2(self):
self.play_randomly(3, 1, 38)
def test_random_play_level_2_1(self):
self.play_randomly(0, 2, 40)
def test_random_play_level_2_2(self):
self.play_randomly(2, 2, 45)
def test_random_play_level_3_1(self):
self.play_randomly(0, 3, 61)
def test_random_play_level_3_2(self):
self.play_randomly(3, 3, 43)
def test_history_table_printing(self):
self.play_randomly(0, 1, 27)
with captured_output() as (out, err):
self.env._opponent.print_history_table()
as_str = self.env._opponent.get_history_table()
as_out = out.getvalue().rstrip()
self.assertEqual(as_out, as_str)
def play_randomly(self, seed, depth_limit, final_round):
self.env.settings['depth_limit'] = depth_limit
self.env.reset()
self.env.seed(seed)
done = False
reward, info = None, None
total_reward = 0
while not done:
logger.debug(self.env.render(mode='ansi'))
action = random.choice(self.env.available_actions)
logger.debug('Taking action: %s', action)
obs, reward, done, info = self.env.step(action)
logger.debug('Got reward: %s', reward)
logger.debug('Info: %s', info)
total_reward += sum(reward)
logger.debug(self.env.render(mode='ansi'))
logger.debug('Game over. Total reward: %d', total_reward)
self.assertEqual([0, -100], reward)
self.assertTrue(done)
self.assertEqual(final_round, info['round'])
| 40.21322 | 120 | 0.575716 | 2,547 | 18,860 | 4.117786 | 0.102474 | 0.187834 | 0.238844 | 0.272693 | 0.65799 | 0.610698 | 0.552727 | 0.482647 | 0.407513 | 0.368802 | 0 | 0.056982 | 0.273277 | 18,860 | 468 | 121 | 40.299145 | 0.70823 | 0.03176 | 0 | 0.355263 | 0 | 0 | 0.132203 | 0 | 0 | 0 | 0 | 0 | 0.152632 | 1 | 0.110526 | false | 0 | 0.023684 | 0 | 0.142105 | 0.005263 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
a53cd473e804512f54a6592d92dab7e1afdf1042 | 8,468 | py | Python | fsm.py | shihyuuuuuuu/chatbot | 24bfab040adfb410448bb04aa16f47c7e32ec394 | [
"MIT"
] | null | null | null | fsm.py | shihyuuuuuuu/chatbot | 24bfab040adfb410448bb04aa16f47c7e32ec394 | [
"MIT"
] | null | null | null | fsm.py | shihyuuuuuuu/chatbot | 24bfab040adfb410448bb04aa16f47c7e32ec394 | [
"MIT"
] | null | null | null | from transitions.extensions import GraphMachine
import pymongo
from pymongo import MongoClient
from pprint import pprint
client = MongoClient()
db = client.chatbot
schedule = db.schedule
class TocMachine(GraphMachine):
def __init__(self, **machine_configs):
self.machine = GraphMachine(
model = self,
**machine_configs
)
def bye_to_user(self, update):
text = update.message.text
if text.lower() == 'bye':
update.message.reply_text("ㄅㄅ")
return 1
def is_going_to_chat1(self, update):
text = update.message.text
if text.lower() == 'show fsm':
return 1
def is_going_to_chat2(self, update):
text = update.message.text
if text.lower() == '簡單介紹一下你自己':
return 1
def is_going_to_state1(self, update):
text = update.message.text
return text.lower() == '嗨' or text.lower() == '返回'
def is_going_to_state2(self, update):
text = update.message.text
if text.lower() == '查賽程':
return 1
def is_going_to_state3(self, update):
text = update.message.text
if text.lower() == '裕隆':
return 1
def is_going_to_state4(self, update):
text = update.message.text
if text.lower() == '台啤':
return 1
def is_going_to_state5(self, update):
text = update.message.text
if text.lower() == '璞園':
return 1
def is_going_to_state6(self, update):
text = update.message.text
if text.lower() == '達欣':
return 1
def is_going_to_state7(self, update):
text = update.message.text
if text.lower() == '富邦':
return 1
def is_going_to_state8(self, update):
text = update.message.text
if text.lower() == '台銀':
return 1
def is_going_to_state9(self, update):
text = update.message.text
if text.lower() == '金酒':
return 1
def is_going_to_state10(self, update):
text = update.message.text
if text.lower() == '查戰績':
return 1
def on_enter_chat1(self, update):
update.message.reply_photo(open("state_diagram.png","rb"))
self.go_back(update)
def on_exit_chat1(self, update):
print('Leaving chat1')
def on_enter_chat2(self, update):
update.message.reply_audio(open("output.ogg","rb"))
self.go_back(update)
def on_exit_chat2(self, update):
print('Leaving chat2')
def on_enter_state1(self, update):
update.message.reply_text("你好!我可以為你做什麼呢？")
def on_exit_state1(self, update):
print('Leaving state1')
def on_enter_state2(self, update):
update.message.reply_text("你想要看那一隊的比賽？")
def on_exit_state2(self, update):
print('Leaving state2')
def on_enter_state3(self, update):
update.message.reply_text("這是裕隆隊接下來的比賽：")
for document in schedule.find({"$or": [{"Team1":"裕隆"}, {"Team2":"裕隆"}]}):
document = str(document)
date = document.find("Date")
time = document.find("Time")
team1 = document.find("Team1")
team2 = document.find("Team2")
place = document.find("Place")
#print(document[date+8:date+13], document[time+6, time+11])
update.message.reply_text(document[date+8:date+14] + " " + document[time+8:time+13] + " " + document[team1+9:team1+11] + ":" + document[team2+9:team2+11] + " " + document[place+9:place+11])
self.go_back(update)
def on_exit_state3(self, update):
print('Leaving state3')
def on_enter_state4(self, update):
update.message.reply_text("這是台啤隊接下來的比賽：")
for document in schedule.find({"$or": [{"Team1":"台啤"}, {"Team2":"台啤"}]}):
document = str(document)
date = document.find("Date")
time = document.find("Time")
team1 = document.find("Team1")
team2 = document.find("Team2")
place = document.find("Place")
update.message.reply_text(document[date+8:date+14] + " " + document[time+8:time+13] + " " + document[team1+9:team1+11] + ":" + document[team2+9:team2+11] + " " + document[place+9:place+11])
self.go_back(update)
def on_exit_state4(self, update):
print('Leaving state4')
def on_enter_state5(self, update):
update.message.reply_text("這是璞園隊接下來的比賽：")
for document in schedule.find({"$or": [{"Team1":"璞園"}, {"Team2":"璞園"}]}):
document = str(document)
date = document.find("Date")
time = document.find("Time")
team1 = document.find("Team1")
team2 = document.find("Team2")
place = document.find("Place")
#print(document[date+8:date+13], document[time+6, time+11])
update.message.reply_text(document[date+8:date+14] + " " + document[time+8:time+13] + " " + document[team1+9:team1+11] + ":" + document[team2+9:team2+11] + " " + document[place+9:place+11])
self.go_back(update)
def on_exit_state5(self, update):
print('Leaving state5')
def on_enter_state6(self, update):
update.message.reply_text("這是達欣隊接下來的比賽：")
for document in schedule.find({"$or": [{"Team1":"達欣"}, {"Team2":"達欣"}]}):
document = str(document)
date = document.find("Date")
time = document.find("Time")
team1 = document.find("Team1")
team2 = document.find("Team2")
place = document.find("Place")
update.message.reply_text(document[date+8:date+14] + " " + document[time+8:time+13] + " " + document[team1+9:team1+11] + ":" + document[team2+9:team2+11] + " " + document[place+9:place+11])
self.go_back(update)
def on_exit_state6(self, update):
print('Leaving state6')
def on_enter_state7(self, update):
update.message.reply_text("這是富邦隊接下來的比賽：")
for document in schedule.find({"$or": [{"Team1":"富邦"}, {"Team2":"富邦"}]}):
document = str(document)
date = document.find("Date")
time = document.find("Time")
team1 = document.find("Team1")
team2 = document.find("Team2")
place = document.find("Place")
#print(document[date+8:date+13], document[time+6, time+11])
update.message.reply_text(document[date+8:date+14] + " " + document[time+8:time+13] + " " + document[team1+9:team1+11] + ":" + document[team2+9:team2+11] + " " + document[place+9:place+11])
self.go_back(update)
def on_exit_state7(self, update):
print('Leaving state7')
def on_enter_state8(self, update):
update.message.reply_text("這是台銀隊接下來的比賽：")
for document in schedule.find({"$or": [{"Team1":"台銀"}, {"Team2":"台銀"}]}):
document = str(document)
date = document.find("Date")
time = document.find("Time")
team1 = document.find("Team1")
team2 = document.find("Team2")
place = document.find("Place")
update.message.reply_text(document[date+8:date+14] + " " + document[time+8:time+13] + " " + document[team1+9:team1+11] + ":" + document[team2+9:team2+11] + " " + document[place+9:place+11])
self.go_back(update)
def on_exit_state8(self, update):
print('Leaving state8')
def on_enter_state9(self, update):
update.message.reply_text("這是金酒隊接下來的比賽：")
for document in schedule.find({"$or": [{"Team1":"金酒"}, {"Team2":"金酒"}]}):
document = str(document)
date = document.find("Date")
time = document.find("Time")
team1 = document.find("Team1")
team2 = document.find("Team2")
place = document.find("Place")
#print(document[date+8:date+13], document[time+6, time+11])
update.message.reply_text(document[date+8:date+14] + " " + document[time+8:time+13] + " " + document[team1+9:team1+11] + ":" + document[team2+9:team2+11] + " " + document[place+9:place+11])
self.go_back(update)
def on_exit_state9(self, update):
print('Leaving state9')
def on_enter_state10(self, update):
update.message.reply_text("1 台灣銀行\n2 桃園璞園建築\n3 富邦勇士\n4 台北達欣工程\n5 金門酒廠\n6 裕隆納智捷\n7 台灣啤酒")
self.go_back(update)
def on_exit_state10(self, update):
print('Leaving state10')
| 38.666667 | 201 | 0.583491 | 1,045 | 8,468 | 4.610526 | 0.111005 | 0.076795 | 0.07472 | 0.082192 | 0.727688 | 0.716065 | 0.599834 | 0.548153 | 0.536945 | 0.432337 | 0 | 0.043235 | 0.262518 | 8,468 | 218 | 202 | 38.844037 | 0.728263 | 0.027397 | 0 | 0.469274 | 0 | 0 | 0.087221 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.212291 | false | 0 | 0.022346 | 0 | 0.312849 | 0.072626 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
a5446309dc1e4dc4814d0f6638875e9d03515b64 | 443 | py | Python | api/serializers.py | peterwade153/social-meta | 67633f8aac7f63ee8678e59e18091b2cd6619fec | [
"MIT"
] | null | null | null | api/serializers.py | peterwade153/social-meta | 67633f8aac7f63ee8678e59e18091b2cd6619fec | [
"MIT"
] | null | null | null | api/serializers.py | peterwade153/social-meta | 67633f8aac7f63ee8678e59e18091b2cd6619fec | [
"MIT"
] | null | null | null | from rest_framework import serializers
from api.models import Post, Like
class PostSerializer(serializers.ModelSerializer):
class Meta:
model = Post
read_only_fields = ['id', 'user', 'is_active']
fields = ['text'] + read_only_fields
class LikeSerializer(serializers.ModelSerializer):
class Meta:
model = Like
read_only_fields = ['id', 'user']
fields = ['post'] + read_only_fields
| 22.15 | 54 | 0.6614 | 49 | 443 | 5.77551 | 0.469388 | 0.113074 | 0.19788 | 0.24735 | 0.424028 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.23702 | 443 | 19 | 55 | 23.315789 | 0.837278 | 0 | 0 | 0.166667 | 0 | 0 | 0.065463 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.166667 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
a5594c0fc5b313819654b388377b510a2036915f | 115 | py | Python | Stones on the Table.py | NehaAgarwal2598/Codeforces | 859196a734cb24834736adf9517b351647da6e73 | [
"MIT"
] | null | null | null | Stones on the Table.py | NehaAgarwal2598/Codeforces | 859196a734cb24834736adf9517b351647da6e73 | [
"MIT"
] | null | null | null | Stones on the Table.py | NehaAgarwal2598/Codeforces | 859196a734cb24834736adf9517b351647da6e73 | [
"MIT"
] | null | null | null | n = int(input())
s = input()
c=0
for i in range(n-1):
if s[i]==s[i+1]:
c +=1
print(c)
| 10.454545 | 21 | 0.391304 | 23 | 115 | 1.956522 | 0.565217 | 0.088889 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.057143 | 0.391304 | 115 | 10 | 22 | 11.5 | 0.585714 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.142857 | 1 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
a56df4a560c4a746353d76fcd7919d82fa2b9f05 | 538 | py | Python | 22-django/aprendiendoDjango/miapp/models.py | richi2050/Master-en-python | d8ba136f03d8f794cded235c4e7b4b3dadba4dc4 | [
"MIT"
] | null | null | null | 22-django/aprendiendoDjango/miapp/models.py | richi2050/Master-en-python | d8ba136f03d8f794cded235c4e7b4b3dadba4dc4 | [
"MIT"
] | null | null | null | 22-django/aprendiendoDjango/miapp/models.py | richi2050/Master-en-python | d8ba136f03d8f794cded235c4e7b4b3dadba4dc4 | [
"MIT"
] | null | null | null | from django.db import models
# Create your models here.
class Article(models.Model):
title = models.CharField(max_length=100)
image = models.ImageField(default='null')
content = models.TextField()
public = models.BooleanField()
created_at = models.DateTimeField(auto_now_add=True)
updated_at = models.DateTimeField(auto_now=True)
class Category(models.Model):
name = models.CharField(max_length=100)
description = models.CharField(max_length=250)
created_at = models.DateTimeField(auto_now_add=True) | 33.625 | 56 | 0.750929 | 69 | 538 | 5.695652 | 0.521739 | 0.114504 | 0.137405 | 0.183206 | 0.422392 | 0.21374 | 0.21374 | 0.21374 | 0 | 0 | 0 | 0.019565 | 0.144981 | 538 | 16 | 57 | 33.625 | 0.834783 | 0.04461 | 0 | 0.166667 | 0 | 0 | 0.007797 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.083333 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
a57321ad776cf3a73f1dc9dba83d7dbbe8365249 | 884 | py | Python | vispy/io/datasets.py | izaid/vispy | 402cf95bfef88d70c9c45bb27c532ed72944e14a | [
"BSD-3-Clause"
] | null | null | null | vispy/io/datasets.py | izaid/vispy | 402cf95bfef88d70c9c45bb27c532ed72944e14a | [
"BSD-3-Clause"
] | null | null | null | vispy/io/datasets.py | izaid/vispy | 402cf95bfef88d70c9c45bb27c532ed72944e14a | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright (c) 2014, Vispy Development Team.
# Distributed under the (new) BSD License. See LICENSE.txt for more info.
import numpy as np
from os import path as op
from ..util import load_data_file
# This is the package data dir, not the dir for config, etc.
DATA_DIR = op.join(op.dirname(__file__), '_data')
def load_iris():
"""Load the iris dataset
Returns
-------
iris : NpzFile
data['data'] : a (150, 4) NumPy array with the iris' features
data['group'] : a (150,) NumPy array with the iris' group
"""
return np.load(load_data_file('iris/iris.npz',
force_download='2014-09-04'))
def load_crate():
"""Load an image of a crate
Returns
-------
crate : array
256x256x3 crate image.
"""
return np.load(load_data_file('orig/crate.npz'))['crate']
| 24.555556 | 73 | 0.613122 | 127 | 884 | 4.149606 | 0.511811 | 0.045541 | 0.068311 | 0.064516 | 0.170778 | 0.091082 | 0 | 0 | 0 | 0 | 0 | 0.040971 | 0.254525 | 884 | 35 | 74 | 25.257143 | 0.758725 | 0.522624 | 0 | 0 | 0 | 0 | 0.129834 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.222222 | false | 0 | 0.333333 | 0 | 0.777778 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 2 |
a5953a795730e0e06aede826773d8532f804edb9 | 836 | py | Python | src/restfuls/apps/v1/route.py | Qinnnnnn/Watero_DataCenter | fc56dc13fa9a71817de9243b494dc01ab1d193bd | [
"MIT"
] | null | null | null | src/restfuls/apps/v1/route.py | Qinnnnnn/Watero_DataCenter | fc56dc13fa9a71817de9243b494dc01ab1d193bd | [
"MIT"
] | null | null | null | src/restfuls/apps/v1/route.py | Qinnnnnn/Watero_DataCenter | fc56dc13fa9a71817de9243b494dc01ab1d193bd | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding:utf-8 -*-
"""
File : route.py
Author : Zerui Qin
CreateDate : 2019-04-01 09:50:07
Note : 注册URL
"""
from src.restfuls.apps.v1.apis.auth import AgentAuth
from src.restfuls.apps.v1.apis.heartbeat import AgentHeartbeat
from src.restfuls.apps.v1.apis.push import AgentPush
from src.restfuls.apps.v1.apis.register import AgentRegister
from src.restfuls.apps.v1.apis.resource import AgentResource
def register_url(api):
"""
注册URL
:param api:
:return:
"""
api.add_resource(AgentRegister, '/register', endpoint='register')
api.add_resource(AgentAuth, '/auth', endpoint='auth')
api.add_resource(AgentPush, '/push', endpoint='push')
api.add_resource(AgentHeartbeat, '/heartbeat/', endpoint='heartbeat')
api.add_resource(AgentResource, '/resource', endpoint='resource')
| 30.962963 | 73 | 0.723684 | 110 | 836 | 5.445455 | 0.418182 | 0.058431 | 0.125209 | 0.158598 | 0.208681 | 0.208681 | 0 | 0 | 0 | 0 | 0 | 0.027473 | 0.129187 | 836 | 26 | 74 | 32.153846 | 0.79533 | 0.179426 | 0 | 0 | 0 | 0 | 0.110092 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0.454545 | 0 | 0.545455 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
a5b221fa1c656d7576d2672d422de1386f23210f | 1,836 | py | Python | nn_modules/gzip-js/test/zipTest.py | PotWallet/PotWallet-Chain | b5728de3ff44b4f9611a01e036410e91c7fec15e | [
"MIT",
"Unlicense"
] | 305 | 2015-01-06T12:37:29.000Z | 2022-03-25T18:03:52.000Z | node_modules/grunt/node_modules/gzip-js/test/zipTest.py | arhea/grunt-travis | 58afde3919d79e78fdfb66aeda42d6bcb44d4e97 | [
"MIT"
] | 18 | 2015-02-09T11:04:23.000Z | 2020-12-08T21:27:04.000Z | node_modules/grunt/node_modules/gzip-js/test/zipTest.py | arhea/grunt-travis | 58afde3919d79e78fdfb66aeda42d6bcb44d4e97 | [
"MIT"
] | 68 | 2015-05-09T05:07:42.000Z | 2022-02-10T23:22:13.000Z | import os
from helpers import run_cmd
from colorama import Fore
defaultTestDir = 'test-files'
defaultOutDir = 'test-outs'
"""
Run a single test
@param tFile- required; the full path to the file to run
@param level- optional (default: all); the compression level [1-9]
@return True if all tests passed; False if at least one test failed
"""
def runTest(tFile, level=None, outDir=defaultOutDir):
passed = True
if level == None:
for x in range(1, 10):
if runTest(tFile, x, outDir) == False:
passed = False
return passed
out1 = os.path.join(outDir, '%(file)s.%(level)d.gz' % {'file': os.path.basename(tFile), 'level' : level})
out2 = os.path.join(outDir, '%(file)s.%(level)d.out.gz' % {'file': os.path.basename(tFile), 'level' : level})
run_cmd('gzip -c -%(level)d %(file)s > %(outfile)s' % {'level' : level, 'file' : tFile, 'outfile' : out1})
run_cmd('../bin/gzip.js --level %(level)d --file %(file)s --output %(output)s' % {'level' : level, 'file' : tFile, 'output' : out2})
result = run_cmd('diff %(file1)s %(file2)s' % {'file1' : out1, 'file2' : out2})
if result['returncode'] == 0:
status = Fore.GREEN + 'PASSED' + Fore.RESET
else:
passed = False
status = Fore.RED + 'FAILED' + Fore.RESET
print 'Level %(level)d: %(status)s' % {'level' : level, 'status' : status}
return passed
"""
Runs all tests on the given level. This iterates throuth the testDir directory defined above.
@param level- The level to run on [1-9] (default: None, runs on all levels all)
@return True if all levels passed, False if at least one failed
"""
def runAll(level=None, testDir=defaultTestDir):
passed = True
for tFile in os.listdir(testDir):
fullPath = os.path.join(testDir, tFile)
print Fore.YELLOW + tFile + Fore.RESET
if runTest(fullPath, level) == False:
passed = False
print ''
return passed
| 30.098361 | 133 | 0.667756 | 276 | 1,836 | 4.427536 | 0.326087 | 0.057283 | 0.02455 | 0.02455 | 0.171849 | 0.139116 | 0.101473 | 0.101473 | 0 | 0 | 0 | 0.011858 | 0.173203 | 1,836 | 60 | 134 | 30.6 | 0.793149 | 0 | 0 | 0.242424 | 0 | 0.030303 | 0.231218 | 0.033552 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0.272727 | 0.090909 | null | null | 0.090909 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
3c0153768e4b883adf2eab5ec0d78056452ee636 | 17,293 | py | Python | pysnmp/CRESCENDO-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 11 | 2021-02-02T16:27:16.000Z | 2021-08-31T06:22:49.000Z | pysnmp/CRESCENDO-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 75 | 2021-02-24T17:30:31.000Z | 2021-12-08T00:01:18.000Z | pysnmp/CRESCENDO-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 CRESCENDO-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/CRESCENDO-MIB
# Produced by pysmi-0.3.4 at Mon Apr 29 18:12:29 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)
#
OctetString, ObjectIdentifier, Integer = mibBuilder.importSymbols("ASN1", "OctetString", "ObjectIdentifier", "Integer")
NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues")
ConstraintsIntersection, ValueRangeConstraint, SingleValueConstraint, ConstraintsUnion, ValueSizeConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "ConstraintsIntersection", "ValueRangeConstraint", "SingleValueConstraint", "ConstraintsUnion", "ValueSizeConstraint")
MibScalar, MibTable, MibTableRow, MibTableColumn = mibBuilder.importSymbols("RFC1212", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn")
DisplayString, = mibBuilder.importSymbols("RFC1213", "DisplayString")
NotificationGroup, ModuleCompliance = mibBuilder.importSymbols("SNMPv2-CONF", "NotificationGroup", "ModuleCompliance")
enterprises, Unsigned32, iso, MibIdentifier, Integer32, NotificationType, Counter32, Counter64, MibScalar, MibTable, MibTableRow, MibTableColumn, TimeTicks, Bits, ObjectIdentity, IpAddress, ModuleIdentity, Gauge32 = mibBuilder.importSymbols("SNMPv2-SMI", "enterprises", "Unsigned32", "iso", "MibIdentifier", "Integer32", "NotificationType", "Counter32", "Counter64", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "TimeTicks", "Bits", "ObjectIdentity", "IpAddress", "ModuleIdentity", "Gauge32")
DisplayString, TextualConvention = mibBuilder.importSymbols("SNMPv2-TC", "DisplayString", "TextualConvention")
crescendo = MibIdentifier((1, 3, 6, 1, 4, 1, 203))
crescendoProducts = MibIdentifier((1, 3, 6, 1, 4, 1, 203, 1))
concentrator = MibIdentifier((1, 3, 6, 1, 4, 1, 203, 1, 1))
conc = MibIdentifier((1, 3, 6, 1, 4, 1, 203, 1, 1, 1))
chassis = MibIdentifier((1, 3, 6, 1, 4, 1, 203, 1, 1, 2))
module = MibIdentifier((1, 3, 6, 1, 4, 1, 203, 1, 1, 3))
port = MibIdentifier((1, 3, 6, 1, 4, 1, 203, 1, 1, 4))
concMgmtType = MibScalar((1, 3, 6, 1, 4, 1, 203, 1, 1, 1, 1), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("other", 1), ("snmp", 2)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: concMgmtType.setStatus('mandatory')
concIpAddr = MibScalar((1, 3, 6, 1, 4, 1, 203, 1, 1, 1, 2), IpAddress()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: concIpAddr.setStatus('mandatory')
concNetMask = MibScalar((1, 3, 6, 1, 4, 1, 203, 1, 1, 1, 3), IpAddress()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: concNetMask.setStatus('mandatory')
concBroadcast = MibScalar((1, 3, 6, 1, 4, 1, 203, 1, 1, 1, 4), IpAddress()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: concBroadcast.setStatus('mandatory')
concTrapReceiverTable = MibTable((1, 3, 6, 1, 4, 1, 203, 1, 1, 1, 5), )
if mibBuilder.loadTexts: concTrapReceiverTable.setStatus('mandatory')
concTrapReceiverEntry = MibTableRow((1, 3, 6, 1, 4, 1, 203, 1, 1, 1, 5, 1), ).setIndexNames((0, "CRESCENDO-MIB", "concTrapReceiverAddr"))
if mibBuilder.loadTexts: concTrapReceiverEntry.setStatus('mandatory')
concTrapReceiverType = MibTableColumn((1, 3, 6, 1, 4, 1, 203, 1, 1, 1, 5, 1, 1), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("other", 1), ("invalid", 2)))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: concTrapReceiverType.setStatus('mandatory')
concTrapReceiverAddr = MibTableColumn((1, 3, 6, 1, 4, 1, 203, 1, 1, 1, 5, 1, 2), IpAddress()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: concTrapReceiverAddr.setStatus('mandatory')
concTrapReceiverComm = MibTableColumn((1, 3, 6, 1, 4, 1, 203, 1, 1, 1, 5, 1, 3), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 20))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: concTrapReceiverComm.setStatus('mandatory')
concCommunityTable = MibTable((1, 3, 6, 1, 4, 1, 203, 1, 1, 1, 6), )
if mibBuilder.loadTexts: concCommunityTable.setStatus('mandatory')
concCommunityEntry = MibTableRow((1, 3, 6, 1, 4, 1, 203, 1, 1, 1, 6, 1), ).setIndexNames((0, "CRESCENDO-MIB", "concCommunityAccess"))
if mibBuilder.loadTexts: concCommunityEntry.setStatus('mandatory')
concCommunityAccess = MibTableColumn((1, 3, 6, 1, 4, 1, 203, 1, 1, 1, 6, 1, 1), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4))).clone(namedValues=NamedValues(("other", 1), ("readOnly", 2), ("readWrite", 3), ("readWriteAll", 4)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: concCommunityAccess.setStatus('mandatory')
concCommunityString = MibTableColumn((1, 3, 6, 1, 4, 1, 203, 1, 1, 1, 6, 1, 2), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 20))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: concCommunityString.setStatus('mandatory')
concAttachType = MibScalar((1, 3, 6, 1, 4, 1, 203, 1, 1, 1, 7), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4))).clone(namedValues=NamedValues(("other", 1), ("dualAttach", 2), ("singleAttach", 3), ("nullAttach", 4)))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: concAttachType.setStatus('mandatory')
concTraffic = MibScalar((1, 3, 6, 1, 4, 1, 203, 1, 1, 1, 8), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 100))).setMaxAccess("readonly")
if mibBuilder.loadTexts: concTraffic.setStatus('mandatory')
concReset = MibScalar((1, 3, 6, 1, 4, 1, 203, 1, 1, 1, 9), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("other", 1), ("reset", 2)))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: concReset.setStatus('mandatory')
concBaudRate = MibScalar((1, 3, 6, 1, 4, 1, 203, 1, 1, 1, 10), Integer32()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: concBaudRate.setStatus('mandatory')
chassisType = MibScalar((1, 3, 6, 1, 4, 1, 203, 1, 1, 2, 1), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4))).clone(namedValues=NamedValues(("other", 1), ("cxxxx", 2), ("c1000", 3), ("c1001", 4)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: chassisType.setStatus('mandatory')
chassisBkplType = MibScalar((1, 3, 6, 1, 4, 1, 203, 1, 1, 2, 2), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("other", 1), ("fddi", 2), ("fddiEthernet", 3)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: chassisBkplType.setStatus('mandatory')
chassisPs1Type = MibScalar((1, 3, 6, 1, 4, 1, 203, 1, 1, 2, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5))).clone(namedValues=NamedValues(("other", 1), ("none", 2), ("w50", 3), ("w200", 4), ("w600", 5)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: chassisPs1Type.setStatus('mandatory')
chassisPs1Status = MibScalar((1, 3, 6, 1, 4, 1, 203, 1, 1, 2, 4), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4))).clone(namedValues=NamedValues(("other", 1), ("ok", 2), ("minorFault", 3), ("majorFault", 4)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: chassisPs1Status.setStatus('mandatory')
chassisPs1TestResult = MibScalar((1, 3, 6, 1, 4, 1, 203, 1, 1, 2, 5), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: chassisPs1TestResult.setStatus('mandatory')
chassisPs2Type = MibScalar((1, 3, 6, 1, 4, 1, 203, 1, 1, 2, 6), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5))).clone(namedValues=NamedValues(("other", 1), ("none", 2), ("w50", 3), ("w200", 4), ("w600", 5)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: chassisPs2Type.setStatus('mandatory')
chassisPs2Status = MibScalar((1, 3, 6, 1, 4, 1, 203, 1, 1, 2, 7), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4))).clone(namedValues=NamedValues(("other", 1), ("ok", 2), ("minorFault", 3), ("majorFault", 4)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: chassisPs2Status.setStatus('mandatory')
chassisPs2TestResult = MibScalar((1, 3, 6, 1, 4, 1, 203, 1, 1, 2, 8), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: chassisPs2TestResult.setStatus('mandatory')
chassisFanStatus = MibScalar((1, 3, 6, 1, 4, 1, 203, 1, 1, 2, 9), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4))).clone(namedValues=NamedValues(("other", 1), ("ok", 2), ("minorFault", 3), ("majorFault", 4)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: chassisFanStatus.setStatus('mandatory')
chassisFanTestResult = MibScalar((1, 3, 6, 1, 4, 1, 203, 1, 1, 2, 10), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: chassisFanTestResult.setStatus('mandatory')
chassisMinorAlarm = MibScalar((1, 3, 6, 1, 4, 1, 203, 1, 1, 2, 11), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("off", 1), ("on", 2)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: chassisMinorAlarm.setStatus('mandatory')
chassisMajorAlarm = MibScalar((1, 3, 6, 1, 4, 1, 203, 1, 1, 2, 12), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("off", 1), ("on", 2)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: chassisMajorAlarm.setStatus('mandatory')
chassisTempAlarm = MibScalar((1, 3, 6, 1, 4, 1, 203, 1, 1, 2, 13), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("off", 1), ("on", 2)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: chassisTempAlarm.setStatus('mandatory')
chassisNumSlots = MibScalar((1, 3, 6, 1, 4, 1, 203, 1, 1, 2, 14), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: chassisNumSlots.setStatus('mandatory')
chassisSlotConfig = MibScalar((1, 3, 6, 1, 4, 1, 203, 1, 1, 2, 15), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: chassisSlotConfig.setStatus('mandatory')
moduleTable = MibTable((1, 3, 6, 1, 4, 1, 203, 1, 1, 3, 1), )
if mibBuilder.loadTexts: moduleTable.setStatus('mandatory')
moduleEntry = MibTableRow((1, 3, 6, 1, 4, 1, 203, 1, 1, 3, 1, 1), ).setIndexNames((0, "CRESCENDO-MIB", "moduleIndex"))
if mibBuilder.loadTexts: moduleEntry.setStatus('mandatory')
moduleIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 203, 1, 1, 3, 1, 1, 1), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: moduleIndex.setStatus('mandatory')
moduleType = MibTableColumn((1, 3, 6, 1, 4, 1, 203, 1, 1, 3, 1, 1, 2), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4))).clone(namedValues=NamedValues(("other", 1), ("empty", 2), ("c1000", 3), ("c1001", 4)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: moduleType.setStatus('mandatory')
moduleSerialNumber = MibTableColumn((1, 3, 6, 1, 4, 1, 203, 1, 1, 3, 1, 1, 3), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: moduleSerialNumber.setStatus('mandatory')
moduleHwHiVersion = MibTableColumn((1, 3, 6, 1, 4, 1, 203, 1, 1, 3, 1, 1, 4), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: moduleHwHiVersion.setStatus('mandatory')
moduleHwLoVersion = MibTableColumn((1, 3, 6, 1, 4, 1, 203, 1, 1, 3, 1, 1, 5), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: moduleHwLoVersion.setStatus('mandatory')
moduleFwHiVersion = MibTableColumn((1, 3, 6, 1, 4, 1, 203, 1, 1, 3, 1, 1, 6), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: moduleFwHiVersion.setStatus('mandatory')
moduleFwLoVersion = MibTableColumn((1, 3, 6, 1, 4, 1, 203, 1, 1, 3, 1, 1, 7), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: moduleFwLoVersion.setStatus('mandatory')
moduleSwHiVersion = MibTableColumn((1, 3, 6, 1, 4, 1, 203, 1, 1, 3, 1, 1, 8), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: moduleSwHiVersion.setStatus('mandatory')
moduleSwLoVersion = MibTableColumn((1, 3, 6, 1, 4, 1, 203, 1, 1, 3, 1, 1, 9), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: moduleSwLoVersion.setStatus('mandatory')
moduleStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 203, 1, 1, 3, 1, 1, 10), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4))).clone(namedValues=NamedValues(("other", 1), ("ok", 2), ("minorFault", 3), ("majorFault", 4)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: moduleStatus.setStatus('mandatory')
moduleTestResult = MibTableColumn((1, 3, 6, 1, 4, 1, 203, 1, 1, 3, 1, 1, 11), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: moduleTestResult.setStatus('mandatory')
moduleReset = MibTableColumn((1, 3, 6, 1, 4, 1, 203, 1, 1, 3, 1, 1, 12), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("other", 1), ("reset", 2)))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: moduleReset.setStatus('mandatory')
moduleName = MibTableColumn((1, 3, 6, 1, 4, 1, 203, 1, 1, 3, 1, 1, 13), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 20))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: moduleName.setStatus('mandatory')
moduleNumPorts = MibTableColumn((1, 3, 6, 1, 4, 1, 203, 1, 1, 3, 1, 1, 14), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: moduleNumPorts.setStatus('mandatory')
modulePortStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 203, 1, 1, 3, 1, 1, 15), OctetString().subtype(subtypeSpec=ValueSizeConstraint(0, 20))).setMaxAccess("readonly")
if mibBuilder.loadTexts: modulePortStatus.setStatus('mandatory')
portTable = MibTable((1, 3, 6, 1, 4, 1, 203, 1, 1, 4, 1), )
if mibBuilder.loadTexts: portTable.setStatus('mandatory')
portEntry = MibTableRow((1, 3, 6, 1, 4, 1, 203, 1, 1, 4, 1, 1), ).setIndexNames((0, "CRESCENDO-MIB", "portModuleIndex"), (0, "CRESCENDO-MIB", "portIndex"))
if mibBuilder.loadTexts: portEntry.setStatus('mandatory')
portModuleIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 203, 1, 1, 4, 1, 1, 1), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: portModuleIndex.setStatus('mandatory')
portIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 203, 1, 1, 4, 1, 1, 2), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: portIndex.setStatus('mandatory')
portFddiIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 203, 1, 1, 4, 1, 1, 3), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: portFddiIndex.setStatus('mandatory')
portName = MibTableColumn((1, 3, 6, 1, 4, 1, 203, 1, 1, 4, 1, 1, 4), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 20))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: portName.setStatus('mandatory')
portType = MibTableColumn((1, 3, 6, 1, 4, 1, 203, 1, 1, 4, 1, 1, 5), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4))).clone(namedValues=NamedValues(("other", 1), ("cddi", 2), ("fiber", 3), ("multiMedia", 4)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: portType.setStatus('mandatory')
portStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 203, 1, 1, 4, 1, 1, 6), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4))).clone(namedValues=NamedValues(("other", 1), ("ok", 2), ("minorFault", 3), ("majorFault", 4)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: portStatus.setStatus('mandatory')
mibBuilder.exportSymbols("CRESCENDO-MIB", moduleNumPorts=moduleNumPorts, chassisMinorAlarm=chassisMinorAlarm, concTrapReceiverType=concTrapReceiverType, crescendoProducts=crescendoProducts, chassisType=chassisType, chassisPs1TestResult=chassisPs1TestResult, chassisMajorAlarm=chassisMajorAlarm, chassisSlotConfig=chassisSlotConfig, modulePortStatus=modulePortStatus, chassisPs1Status=chassisPs1Status, moduleHwHiVersion=moduleHwHiVersion, concCommunityEntry=concCommunityEntry, chassisFanTestResult=chassisFanTestResult, chassisPs2TestResult=chassisPs2TestResult, chassisFanStatus=chassisFanStatus, concIpAddr=concIpAddr, chassisPs2Status=chassisPs2Status, moduleReset=moduleReset, chassisPs2Type=chassisPs2Type, concTrapReceiverComm=concTrapReceiverComm, concNetMask=concNetMask, moduleStatus=moduleStatus, chassisPs1Type=chassisPs1Type, chassisNumSlots=chassisNumSlots, concBroadcast=concBroadcast, concTrapReceiverTable=concTrapReceiverTable, concMgmtType=concMgmtType, moduleHwLoVersion=moduleHwLoVersion, moduleSwLoVersion=moduleSwLoVersion, moduleTestResult=moduleTestResult, moduleIndex=moduleIndex, moduleType=moduleType, crescendo=crescendo, module=module, concTrapReceiverEntry=concTrapReceiverEntry, concCommunityString=concCommunityString, moduleTable=moduleTable, portType=portType, concBaudRate=concBaudRate, chassisTempAlarm=chassisTempAlarm, portEntry=portEntry, moduleFwLoVersion=moduleFwLoVersion, moduleSwHiVersion=moduleSwHiVersion, moduleSerialNumber=moduleSerialNumber, concAttachType=concAttachType, portIndex=portIndex, moduleFwHiVersion=moduleFwHiVersion, moduleName=moduleName, chassis=chassis, portName=portName, port=port, concCommunityAccess=concCommunityAccess, concentrator=concentrator, portStatus=portStatus, concTrapReceiverAddr=concTrapReceiverAddr, conc=conc, concCommunityTable=concCommunityTable, concTraffic=concTraffic, moduleEntry=moduleEntry, portTable=portTable, portFddiIndex=portFddiIndex, chassisBkplType=chassisBkplType, concReset=concReset, portModuleIndex=portModuleIndex)
| 125.311594 | 2,021 | 0.74215 | 2,055 | 17,293 | 6.245255 | 0.09635 | 0.01683 | 0.01683 | 0.019947 | 0.540829 | 0.503584 | 0.443198 | 0.419199 | 0.409225 | 0.386162 | 0 | 0.079608 | 0.085468 | 17,293 | 137 | 2,022 | 126.226277 | 0.7319 | 0.018505 | 0 | 0 | 0 | 0 | 0.116541 | 0.002594 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.061538 | 0 | 0.061538 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
3c1950bfb4c58d17df258a837440092dea72e319 | 317 | py | Python | tests/conftest.py | textanalytics2020/laserembeddings | 77747b79815b706479425ca48166c89a40eed143 | [
"BSD-3-Clause"
] | 177 | 2019-07-23T20:48:23.000Z | 2022-03-28T02:59:16.000Z | tests/conftest.py | textanalytics2020/laserembeddings | 77747b79815b706479425ca48166c89a40eed143 | [
"BSD-3-Clause"
] | 21 | 2019-10-01T10:53:31.000Z | 2021-12-12T10:31:43.000Z | tests/conftest.py | textanalytics2020/laserembeddings | 77747b79815b706479425ca48166c89a40eed143 | [
"BSD-3-Clause"
] | 20 | 2019-08-31T09:56:57.000Z | 2021-11-23T10:43:30.000Z | import os
import pytest
@pytest.fixture
def test_data():
import numpy as np
test_data_file = os.path.join(os.path.dirname(os.path.realpath(__file__)),
'data', 'laserembeddings-test-data.npz')
return np.load(test_data_file) if os.path.isfile(test_data_file) else None
| 24.384615 | 78 | 0.665615 | 46 | 317 | 4.347826 | 0.5 | 0.2 | 0.18 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.227129 | 317 | 12 | 79 | 26.416667 | 0.816327 | 0 | 0 | 0 | 0 | 0 | 0.104101 | 0.091483 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.375 | 0 | 0.625 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
3c36824ad9ebdd39f48bbb269eb0a6b11166df47 | 819 | py | Python | venv/lib/python3.7/site-packages/pystan/__init__.py | vchiapaikeo/prophet | e8c250ca7bfffc280baa7dabc80a2c2d1f72c6a7 | [
"MIT"
] | null | null | null | venv/lib/python3.7/site-packages/pystan/__init__.py | vchiapaikeo/prophet | e8c250ca7bfffc280baa7dabc80a2c2d1f72c6a7 | [
"MIT"
] | null | null | null | venv/lib/python3.7/site-packages/pystan/__init__.py | vchiapaikeo/prophet | e8c250ca7bfffc280baa7dabc80a2c2d1f72c6a7 | [
"MIT"
] | null | null | null | #-----------------------------------------------------------------------------
# Copyright (c) 2013-2015 PyStan developers
#
# This file is licensed under Version 3.0 of the GNU General Public
# License. See LICENSE for a text of the license.
#-----------------------------------------------------------------------------
import logging
from pystan.api import stanc, stan
from pystan.misc import read_rdump, stan_rdump, stansummary
from pystan.diagnostics import check_hmc_diagnostics
from pystan.model import StanModel
from pystan.lookup import lookup
logger = logging.getLogger('pystan')
logger.addHandler(logging.NullHandler())
if len(logger.handlers) == 1:
logging.basicConfig(level=logging.INFO)
# following PEP 386
# See also https://docs.openstack.org/pbr/latest/user/semver.html
__version__ = '2.19.1.1'
| 35.608696 | 78 | 0.634921 | 99 | 819 | 5.171717 | 0.666667 | 0.097656 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.02585 | 0.102564 | 819 | 22 | 79 | 37.227273 | 0.670748 | 0.478632 | 0 | 0 | 0 | 0 | 0.033413 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.545455 | 0 | 0.545455 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
3c397d147b06582185868eee113671c46ccc2bfb | 548 | py | Python | ampa/cole/migrations/0024_entitat_instance.py | jordiprats/django-ampa | b8e9d6076c32caa8bdc11094362ddccb12d95f8c | [
"Apache-2.0"
] | null | null | null | ampa/cole/migrations/0024_entitat_instance.py | jordiprats/django-ampa | b8e9d6076c32caa8bdc11094362ddccb12d95f8c | [
"Apache-2.0"
] | null | null | null | ampa/cole/migrations/0024_entitat_instance.py | jordiprats/django-ampa | b8e9d6076c32caa8bdc11094362ddccb12d95f8c | [
"Apache-2.0"
] | null | null | null | # Generated by Django 3.1.5 on 2021-03-06 17:29
from django.db import migrations, models
def forward(apps, schema_editor):
Entitat = apps.get_model("cole", "Entitat")
try:
entitat_instance = Entitat.objects.all()[0]
if entitat_instance:
return
except:
pass
entitat_instance = Entitat()
entitat_instance.save()
class Migration(migrations.Migration):
dependencies = [
('cole', '0023_entitat_codi_registre'),
]
operations = [
migrations.RunPython(forward)
]
| 21.92 | 51 | 0.640511 | 62 | 548 | 5.516129 | 0.709677 | 0.175439 | 0.128655 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0489 | 0.25365 | 548 | 24 | 52 | 22.833333 | 0.787286 | 0.082117 | 0 | 0 | 1 | 0 | 0.081836 | 0.051896 | 0 | 0 | 0 | 0 | 0 | 1 | 0.055556 | false | 0.055556 | 0.055556 | 0 | 0.333333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
3c3f4cd4f6d1b2e174e3741225ac00366eb8de7d | 92 | py | Python | src/wizcoin/__init__.py | emacollins/wizcoin | 39c5df6623675e83bae2eb435878d58e23cf0b8e | [
"MIT"
] | null | null | null | src/wizcoin/__init__.py | emacollins/wizcoin | 39c5df6623675e83bae2eb435878d58e23cf0b8e | [
"MIT"
] | null | null | null | src/wizcoin/__init__.py | emacollins/wizcoin | 39c5df6623675e83bae2eb435878d58e23cf0b8e | [
"MIT"
] | null | null | null | """WizCoin
By Al Sweigart test@gmail.com
A basic Python project."""
__version__ = '0.1.0'
| 13.142857 | 29 | 0.695652 | 15 | 92 | 4 | 0.933333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.038462 | 0.152174 | 92 | 6 | 30 | 15.333333 | 0.730769 | 0.673913 | 0 | 0 | 0 | 0 | 0.208333 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
3c44389404392b3a903490973640379a4ebb22bd | 102 | py | Python | output/models/saxon_data/xml_versions/xv001_xsd/__init__.py | tefra/xsdata-w3c-tests | b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f | [
"MIT"
] | 1 | 2021-08-14T17:59:21.000Z | 2021-08-14T17:59:21.000Z | output/models/saxon_data/xml_versions/xv001_xsd/__init__.py | tefra/xsdata-w3c-tests | b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f | [
"MIT"
] | 4 | 2020-02-12T21:30:44.000Z | 2020-04-15T20:06:46.000Z | output/models/saxon_data/xml_versions/xv001_xsd/__init__.py | tefra/xsdata-w3c-tests | b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f | [
"MIT"
] | null | null | null | from output.models.saxon_data.xml_versions.xv001_xsd.xv001 import DKstra
__all__ = [
"DKstra",
]
| 17 | 72 | 0.754902 | 14 | 102 | 5 | 0.857143 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.068182 | 0.137255 | 102 | 5 | 73 | 20.4 | 0.727273 | 0 | 0 | 0 | 0 | 0 | 0.058824 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.25 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
3c4c728fbade613a2239f30b7eb299a38bc1425a | 8,362 | py | Python | nova/virt/xenapi/image/utils.py | bopopescu/nova-token | ec98f69dea7b3e2b9013b27fd55a2c1a1ac6bfb2 | [
"Apache-2.0"
] | null | null | null | nova/virt/xenapi/image/utils.py | bopopescu/nova-token | ec98f69dea7b3e2b9013b27fd55a2c1a1ac6bfb2 | [
"Apache-2.0"
] | null | null | null | nova/virt/xenapi/image/utils.py | bopopescu/nova-token | ec98f69dea7b3e2b9013b27fd55a2c1a1ac6bfb2 | [
"Apache-2.0"
] | 2 | 2017-07-20T17:31:34.000Z | 2020-07-24T02:42:19.000Z | begin_unit
comment|'# Copyright 2013 OpenStack Foundation'
nl|'\n'
comment|'# All Rights Reserved.'
nl|'\n'
comment|'#'
nl|'\n'
comment|'# Licensed under the Apache License, Version 2.0 (the "License"); you may'
nl|'\n'
comment|'# not use this file except in compliance with the License. You may obtain'
nl|'\n'
comment|'# a copy of the License at'
nl|'\n'
comment|'#'
nl|'\n'
comment|'# http://www.apache.org/licenses/LICENSE-2.0'
nl|'\n'
comment|'#'
nl|'\n'
comment|'# Unless required by applicable law or agreed to in writing, software'
nl|'\n'
comment|'# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT'
nl|'\n'
comment|'# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the'
nl|'\n'
comment|'# License for the specific language governing permissions and limitations'
nl|'\n'
comment|'# under the License.'
nl|'\n'
nl|'\n'
name|'import'
name|'shutil'
newline|'\n'
name|'import'
name|'tarfile'
newline|'\n'
nl|'\n'
name|'from'
name|'nova'
name|'import'
name|'image'
newline|'\n'
nl|'\n'
DECL|variable|IMAGE_API
name|'IMAGE_API'
op|'='
name|'image'
op|'.'
name|'API'
op|'('
op|')'
newline|'\n'
nl|'\n'
nl|'\n'
DECL|class|GlanceImage
name|'class'
name|'GlanceImage'
op|'('
name|'object'
op|')'
op|':'
newline|'\n'
DECL|member|__init__
indent|' '
name|'def'
name|'__init__'
op|'('
name|'self'
op|','
name|'context'
op|','
name|'image_href_or_id'
op|')'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'_context'
op|'='
name|'context'
newline|'\n'
name|'self'
op|'.'
name|'_image_id'
op|'='
name|'image_href_or_id'
newline|'\n'
name|'self'
op|'.'
name|'_cached_meta'
op|'='
name|'None'
newline|'\n'
nl|'\n'
dedent|''
op|'@'
name|'property'
newline|'\n'
DECL|member|meta
name|'def'
name|'meta'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'if'
name|'self'
op|'.'
name|'_cached_meta'
name|'is'
name|'None'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'_cached_meta'
op|'='
name|'IMAGE_API'
op|'.'
name|'get'
op|'('
name|'self'
op|'.'
name|'_context'
op|','
name|'self'
op|'.'
name|'_image_id'
op|')'
newline|'\n'
dedent|''
name|'return'
name|'self'
op|'.'
name|'_cached_meta'
newline|'\n'
nl|'\n'
DECL|member|download_to
dedent|''
name|'def'
name|'download_to'
op|'('
name|'self'
op|','
name|'fileobj'
op|')'
op|':'
newline|'\n'
indent|' '
name|'return'
name|'IMAGE_API'
op|'.'
name|'download'
op|'('
name|'self'
op|'.'
name|'_context'
op|','
name|'self'
op|'.'
name|'_image_id'
op|','
name|'fileobj'
op|')'
newline|'\n'
nl|'\n'
DECL|member|is_raw_tgz
dedent|''
name|'def'
name|'is_raw_tgz'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'return'
op|'['
string|"'raw'"
op|','
string|"'tgz'"
op|']'
op|'=='
op|'['
nl|'\n'
name|'self'
op|'.'
name|'meta'
op|'.'
name|'get'
op|'('
name|'key'
op|')'
name|'for'
name|'key'
name|'in'
op|'('
string|"'disk_format'"
op|','
string|"'container_format'"
op|')'
op|']'
newline|'\n'
nl|'\n'
DECL|member|data
dedent|''
name|'def'
name|'data'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'return'
name|'IMAGE_API'
op|'.'
name|'download'
op|'('
name|'self'
op|'.'
name|'_context'
op|','
name|'self'
op|'.'
name|'_image_id'
op|')'
newline|'\n'
nl|'\n'
nl|'\n'
DECL|class|RawImage
dedent|''
dedent|''
name|'class'
name|'RawImage'
op|'('
name|'object'
op|')'
op|':'
newline|'\n'
DECL|member|__init__
indent|' '
name|'def'
name|'__init__'
op|'('
name|'self'
op|','
name|'glance_image'
op|')'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'glance_image'
op|'='
name|'glance_image'
newline|'\n'
nl|'\n'
DECL|member|get_size
dedent|''
name|'def'
name|'get_size'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'return'
name|'int'
op|'('
name|'self'
op|'.'
name|'glance_image'
op|'.'
name|'meta'
op|'['
string|"'size'"
op|']'
op|')'
newline|'\n'
nl|'\n'
DECL|member|stream_to
dedent|''
name|'def'
name|'stream_to'
op|'('
name|'self'
op|','
name|'fileobj'
op|')'
op|':'
newline|'\n'
indent|' '
name|'return'
name|'self'
op|'.'
name|'glance_image'
op|'.'
name|'download_to'
op|'('
name|'fileobj'
op|')'
newline|'\n'
nl|'\n'
nl|'\n'
DECL|class|IterableToFileAdapter
dedent|''
dedent|''
name|'class'
name|'IterableToFileAdapter'
op|'('
name|'object'
op|')'
op|':'
newline|'\n'
indent|' '
string|'"""A degenerate file-like so that an iterable could be read like a file.\n\n As Glance client returns an iterable, but tarfile requires a file like,\n this is the adapter between the two. This allows tarfile to access the\n glance stream.\n """'
newline|'\n'
nl|'\n'
DECL|member|__init__
name|'def'
name|'__init__'
op|'('
name|'self'
op|','
name|'iterable'
op|')'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'iterator'
op|'='
name|'iterable'
op|'.'
name|'__iter__'
op|'('
op|')'
newline|'\n'
name|'self'
op|'.'
name|'remaining_data'
op|'='
string|"''"
newline|'\n'
nl|'\n'
DECL|member|read
dedent|''
name|'def'
name|'read'
op|'('
name|'self'
op|','
name|'size'
op|')'
op|':'
newline|'\n'
indent|' '
name|'chunk'
op|'='
name|'self'
op|'.'
name|'remaining_data'
newline|'\n'
name|'try'
op|':'
newline|'\n'
indent|' '
name|'while'
name|'not'
name|'chunk'
op|':'
newline|'\n'
indent|' '
name|'chunk'
op|'='
name|'next'
op|'('
name|'self'
op|'.'
name|'iterator'
op|')'
newline|'\n'
dedent|''
dedent|''
name|'except'
name|'StopIteration'
op|':'
newline|'\n'
indent|' '
name|'return'
string|"''"
newline|'\n'
dedent|''
name|'return_value'
op|'='
name|'chunk'
op|'['
number|'0'
op|':'
name|'size'
op|']'
newline|'\n'
name|'self'
op|'.'
name|'remaining_data'
op|'='
name|'chunk'
op|'['
name|'size'
op|':'
op|']'
newline|'\n'
name|'return'
name|'return_value'
newline|'\n'
nl|'\n'
nl|'\n'
DECL|class|RawTGZImage
dedent|''
dedent|''
name|'class'
name|'RawTGZImage'
op|'('
name|'object'
op|')'
op|':'
newline|'\n'
DECL|member|__init__
indent|' '
name|'def'
name|'__init__'
op|'('
name|'self'
op|','
name|'glance_image'
op|')'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'glance_image'
op|'='
name|'glance_image'
newline|'\n'
name|'self'
op|'.'
name|'_tar_info'
op|'='
name|'None'
newline|'\n'
name|'self'
op|'.'
name|'_tar_file'
op|'='
name|'None'
newline|'\n'
nl|'\n'
DECL|member|_as_file
dedent|''
name|'def'
name|'_as_file'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'return'
name|'IterableToFileAdapter'
op|'('
name|'self'
op|'.'
name|'glance_image'
op|'.'
name|'data'
op|'('
op|')'
op|')'
newline|'\n'
nl|'\n'
DECL|member|_as_tarfile
dedent|''
name|'def'
name|'_as_tarfile'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'return'
name|'tarfile'
op|'.'
name|'open'
op|'('
name|'mode'
op|'='
string|"'r|gz'"
op|','
name|'fileobj'
op|'='
name|'self'
op|'.'
name|'_as_file'
op|'('
op|')'
op|')'
newline|'\n'
nl|'\n'
DECL|member|get_size
dedent|''
name|'def'
name|'get_size'
op|'('
name|'self'
op|')'
op|':'
newline|'\n'
indent|' '
name|'if'
name|'self'
op|'.'
name|'_tar_file'
name|'is'
name|'None'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'_tar_file'
op|'='
name|'self'
op|'.'
name|'_as_tarfile'
op|'('
op|')'
newline|'\n'
name|'self'
op|'.'
name|'_tar_info'
op|'='
name|'self'
op|'.'
name|'_tar_file'
op|'.'
name|'next'
op|'('
op|')'
newline|'\n'
dedent|''
name|'return'
name|'self'
op|'.'
name|'_tar_info'
op|'.'
name|'size'
newline|'\n'
nl|'\n'
DECL|member|stream_to
dedent|''
name|'def'
name|'stream_to'
op|'('
name|'self'
op|','
name|'target_file'
op|')'
op|':'
newline|'\n'
indent|' '
name|'if'
name|'self'
op|'.'
name|'_tar_file'
name|'is'
name|'None'
op|':'
newline|'\n'
indent|' '
name|'self'
op|'.'
name|'_tar_file'
op|'='
name|'self'
op|'.'
name|'_as_tarfile'
op|'('
op|')'
newline|'\n'
name|'self'
op|'.'
name|'_tar_info'
op|'='
name|'self'
op|'.'
name|'_tar_file'
op|'.'
name|'next'
op|'('
op|')'
newline|'\n'
dedent|''
name|'source_file'
op|'='
name|'self'
op|'.'
name|'_tar_file'
op|'.'
name|'extractfile'
op|'('
name|'self'
op|'.'
name|'_tar_info'
op|')'
newline|'\n'
name|'shutil'
op|'.'
name|'copyfileobj'
op|'('
name|'source_file'
op|','
name|'target_file'
op|')'
newline|'\n'
name|'self'
op|'.'
name|'_tar_file'
op|'.'
name|'close'
op|'('
op|')'
newline|'\n'
dedent|''
dedent|''
endmarker|''
end_unit
| 12.924266 | 265 | 0.602009 | 1,245 | 8,362 | 3.926104 | 0.127711 | 0.153437 | 0.11252 | 0.13748 | 0.671849 | 0.593494 | 0.529255 | 0.498977 | 0.441489 | 0.38257 | 0 | 0.001227 | 0.122818 | 8,362 | 646 | 266 | 12.944272 | 0.665167 | 0 | 0 | 0.908669 | 0 | 0.001548 | 0.36618 | 0.005023 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.004644 | null | null | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
3c50ba24127886bcf7c71449e0a441caef745c79 | 2,016 | py | Python | cli/utils.py | Remmeauth/remme-core-cli | 94cc09fe9d2e718b45273dde68d6c672c4773f6a | [
"MIT"
] | null | null | null | cli/utils.py | Remmeauth/remme-core-cli | 94cc09fe9d2e718b45273dde68d6c672c4773f6a | [
"MIT"
] | 94 | 2019-03-27T09:34:28.000Z | 2019-08-27T05:32:33.000Z | cli/utils.py | Remmeauth/remme-core-cli | 94cc09fe9d2e718b45273dde68d6c672c4773f6a | [
"MIT"
] | 6 | 2019-06-06T15:16:38.000Z | 2020-02-24T12:55:55.000Z | """
Provide utils for command line interface.
"""
import json
import click
from cli.config import ConfigFile
def dict_to_pretty_json(data):
r"""
Convert dictionary to json with indents (human readable string).
From the following code:
{
"address": [
"The following address `1120076ecf036e857f42129b5830` is invalid."
]
}
It creates:
"{\n \"address\": [\n \"The following address `1120076ecf036e857f42129b5830` is invalid.\" ]\n}\n"
Notes:
- `r` symbol at the start of the documentation is presented because of PEP257.
References:
- https://www.python.org/dev/peps/pep-0257/#id15
- https://stackoverflow.com/a/33734332/9632462
"""
return json.dumps(data, indent=4, sort_keys=True)
def print_result(result):
"""
Print successful result to the terminal.
"""
return click.echo(dict_to_pretty_json({'result': result}))
def print_errors(errors):
"""
Print error messages to the terminal.
Arguments:
errors (string or dict): dictionary with error messages.
References:
- https://click.palletsprojects.com/en/7.x/utils/#ansi-colors
"""
click.secho(dict_to_pretty_json({'errors': errors}), blink=True, bold=True, fg='red')
def default_node_url():
"""
Get default node URL.
"""
config_parameters = ConfigFile().parse()
if config_parameters.node_url is None:
return 'localhost'
return config_parameters.node_url
async def return_async_value(value):
"""
Asynchronous function return value impostor.
Using for mock particular asynchronous function with specified return value.
Example of usage in code:
mock_account_get_balance = mock.patch('cli.account.service.Account.get_balance')
mock_account_get_balance.return_value = return_async_value(13500)
References:
- https://github.com/pytest-dev/pytest-mock/issues/60
"""
return value
| 24.888889 | 119 | 0.659722 | 243 | 2,016 | 5.345679 | 0.485597 | 0.021555 | 0.027714 | 0.036952 | 0.08622 | 0.08622 | 0 | 0 | 0 | 0 | 0 | 0.049838 | 0.233631 | 2,016 | 80 | 120 | 25.2 | 0.790939 | 0.418651 | 0 | 0 | 0 | 0 | 0.038647 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.235294 | false | 0 | 0.176471 | 0 | 0.705882 | 0.117647 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
3c5c5cae33924c7df042e7f2e12672f2ff06b57a | 2,085 | py | Python | tests/test_file_walker.py | vardan10/codewatch | d906edaa0f7aa51cc1ee159356f801512d138000 | [
"Apache-2.0"
] | null | null | null | tests/test_file_walker.py | vardan10/codewatch | d906edaa0f7aa51cc1ee159356f801512d138000 | [
"Apache-2.0"
] | null | null | null | tests/test_file_walker.py | vardan10/codewatch | d906edaa0f7aa51cc1ee159356f801512d138000 | [
"Apache-2.0"
] | null | null | null | from codewatch.file_walker import FileWalker
MOCK_PATHS = [
('.', ['dir1', 'dir2'], ['file1', 'file2', 'file3']),
('./dir1', [], ['dir1_file1', 'dir1_file2']),
('./dir2', ['dir2_subdir'], ['dir2_file1']),
('./dir2/dir2_subdir', [], ['subdir_file1']),
]
MOCK_START_PATH = '/home/mock'
def _expected_files_from_dir(dir_index):
path = MOCK_PATHS[dir_index][0]
files = MOCK_PATHS[dir_index][2]
return [path + '/' + file for file in files]
def create_mock_os_walk(mock_path):
def _os_walk(path):
assert path == mock_path
return MOCK_PATHS
return _os_walk
def _walk(directory_filter, file_filter):
class MockLoader(object):
def __init__(self, filters):
self.filters = filters
loader = MockLoader(filters=[directory_filter, file_filter])
walk_fn = create_mock_os_walk(MOCK_START_PATH)
walker = FileWalker(loader, MOCK_START_PATH, walk_fn=walk_fn)
return [f for f in walker.walk()]
def test_it_can_walk_all_files():
def directory_filter(_path):
return True
def file_filter(_path):
return True
expected_files_walked = (
_expected_files_from_dir(0) +
_expected_files_from_dir(1) +
_expected_files_from_dir(2) +
_expected_files_from_dir(3)
)
assert _walk(directory_filter, file_filter) == expected_files_walked
def test_it_filters_on_directories():
def directory_filter(path):
return 'dir2' not in path
def file_filter(_path):
return True
expected_files_walked = (
_expected_files_from_dir(0) +
_expected_files_from_dir(1)
)
assert _walk(directory_filter, file_filter) == expected_files_walked
def test_it_filters_on_files():
def directory_filter(_path):
return True
def file_filter(path):
return 'subdir' not in path
expected_files_walked = (
_expected_files_from_dir(0) +
_expected_files_from_dir(1) +
_expected_files_from_dir(2)
)
assert _walk(directory_filter, file_filter) == expected_files_walked
| 26.0625 | 72 | 0.672422 | 271 | 2,085 | 4.701107 | 0.195572 | 0.163265 | 0.133438 | 0.156986 | 0.526688 | 0.450549 | 0.450549 | 0.450549 | 0.450549 | 0.408163 | 0 | 0.017813 | 0.219185 | 2,085 | 79 | 73 | 26.392405 | 0.764742 | 0 | 0 | 0.327586 | 0 | 0 | 0.061391 | 0 | 0 | 0 | 0 | 0 | 0.068966 | 1 | 0.241379 | false | 0 | 0.017241 | 0.103448 | 0.448276 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 |
3c677a9df343c0d5a10437578fcffa7f4fb98250 | 208 | py | Python | CS Practical/A16.py | adityaruplaha/adityaruplaha-school-projects | b19d06f356fafdbe4189bade59d4a4d1ffec567f | [
"MIT"
] | null | null | null | CS Practical/A16.py | adityaruplaha/adityaruplaha-school-projects | b19d06f356fafdbe4189bade59d4a4d1ffec567f | [
"MIT"
] | null | null | null | CS Practical/A16.py | adityaruplaha/adityaruplaha-school-projects | b19d06f356fafdbe4189bade59d4a4d1ffec567f | [
"MIT"
] | null | null | null | # Swap assign variables
print("Enter 3 no.s:")
a = float(input("a: "))
b = float(input("b: "))
c = float(input("c: "))
a, b = a+b, b+c
print("Variables are: ")
print("a:", a)
print("b:", b)
print("c:", c)
| 14.857143 | 24 | 0.543269 | 38 | 208 | 2.973684 | 0.368421 | 0.265487 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005814 | 0.173077 | 208 | 13 | 25 | 16 | 0.651163 | 0.100962 | 0 | 0 | 0 | 0 | 0.232432 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.555556 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 |
3c7a408d59d93ef0b1725084817a4cd7ce5274e2 | 82 | py | Python | tests/python/setitem.py | jacereda/py2nim | 56fc2699d31241c60bed726f59efea4bf46be238 | [
"MIT"
] | 10 | 2020-03-10T12:01:01.000Z | 2021-05-23T19:47:06.000Z | tests/python/setitem.py | jacereda/py2nim | 56fc2699d31241c60bed726f59efea4bf46be238 | [
"MIT"
] | null | null | null | tests/python/setitem.py | jacereda/py2nim | 56fc2699d31241c60bed726f59efea4bf46be238 | [
"MIT"
] | 1 | 2020-07-17T11:20:56.000Z | 2020-07-17T11:20:56.000Z | class A:
def __setitem__(self, e, f):
print(e + f)
a = A()
a[2] = 8
| 10.25 | 32 | 0.463415 | 15 | 82 | 2.266667 | 0.666667 | 0.117647 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.037736 | 0.353659 | 82 | 7 | 33 | 11.714286 | 0.603774 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0 | 0 | 0.4 | 0.2 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
3c8070d20cf1a6dacdae8491d5c310a382aa84fd | 389 | py | Python | setup.py | hoffa/ccz | 17488aab3f5fb24a98e422b8510508a1bdf7bba3 | [
"Unlicense"
] | null | null | null | setup.py | hoffa/ccz | 17488aab3f5fb24a98e422b8510508a1bdf7bba3 | [
"Unlicense"
] | 3 | 2021-05-30T09:33:51.000Z | 2021-05-30T22:13:37.000Z | setup.py | hoffa/cx | 17488aab3f5fb24a98e422b8510508a1bdf7bba3 | [
"Unlicense"
] | null | null | null | from setuptools import setup, find_packages
with open("README.md") as f:
long_description = f.read()
setup(
name="ccz",
version="0.3.2",
install_requires=["ccxt"],
packages=find_packages(),
long_description=long_description,
long_description_content_type="text/markdown",
entry_points={"console_scripts": ["ccz=ccz:main"]},
python_requires=">=3.6",
)
| 24.3125 | 55 | 0.688946 | 50 | 389 | 5.12 | 0.7 | 0.234375 | 0.148438 | 0.234375 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.015244 | 0.156812 | 389 | 15 | 56 | 25.933333 | 0.765244 | 0 | 0 | 0 | 0 | 0 | 0.169666 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.076923 | 0 | 0.076923 | 0 | 0 | 0 | 0 | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
3c96876235514f4a42563f2a2ed427426ff74d32 | 462 | py | Python | tests/test_version.py | aziascreations/mooss-serialize | e8eda61721a014c3fe5c5ddc4e11cc6925358099 | [
"Unlicense"
] | null | null | null | tests/test_version.py | aziascreations/mooss-serialize | e8eda61721a014c3fe5c5ddc4e11cc6925358099 | [
"Unlicense"
] | null | null | null | tests/test_version.py | aziascreations/mooss-serialize | e8eda61721a014c3fe5c5ddc4e11cc6925358099 | [
"Unlicense"
] | null | null | null | # Imports
import semver
import unittest
import mooss.serialize.__version__ as __version__
# Tests
class TestVersion(unittest.TestCase):
def test_version(self):
"""
Testing if the version follows the 'Semantic Versioning' format.
"""
# Assertion is done through the absence of any 'ValueError' exception.
semver.VersionInfo.parse(__version__.VERSION)
# Main
if __name__ == '__main__':
unittest.main()
| 21 | 78 | 0.683983 | 50 | 462 | 5.9 | 0.7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.233766 | 462 | 21 | 79 | 22 | 0.833333 | 0.331169 | 0 | 0 | 0 | 0 | 0.028369 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.375 | 0 | 0.625 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
3c968d11f02a0c76c01083accb901817c8ee198c | 1,845 | py | Python | python-buildkite-api/buildkite.py | tahoemph/python-buildkite-api | aa20a716a737a8589ba910fd80a8b5935a85aa4a | [
"MIT"
] | null | null | null | python-buildkite-api/buildkite.py | tahoemph/python-buildkite-api | aa20a716a737a8589ba910fd80a8b5935a85aa4a | [
"MIT"
] | null | null | null | python-buildkite-api/buildkite.py | tahoemph/python-buildkite-api | aa20a716a737a8589ba910fd80a8b5935a85aa4a | [
"MIT"
] | 3 | 2016-05-27T03:37:28.000Z | 2019-08-23T20:47:28.000Z | from buildkite_auth import BuildkiteAuth
from buildkite_base import BuildkiteBase
from buildkite_builds import BuildkiteBuilds
from buildkite_organizations import BuildkiteOrganizations
from buildkite_pipelines import BuildkitePipelines
class Buildkite(BuildkiteBase):
def __init__(self):
self.api_objects = {
'auth': BuildkiteAuth(),
'organizations': BuildkiteOrganizations(),
'pipelines': BuildkitePipelines(),
'builds': BuildkiteBuilds()
}
for k in self.api_objects:
self.api_objects[k].set_parent(self)
def build_request(self, url_pieces):
url = self.url_parts()
parameters = []
for index, piece in enumerate(url_pieces):
protocol_object = self.api_objects.get(piece)
# If the last component isn't an object then treat it like
# a slug.
if not protocol_object and index == len(url_pieces) - 1:
url_parts = [piece]
parameter_parts = []
else:
url_parts = protocol_object.url_parts()
parameter_parts = protocol_object.url_parameters()
for part in url_parts:
url = '/'.join((url, part))
parameters.extend(parameter_parts)
if parameters:
url = url + '?' + ''.join(parameters)
return url
def url_parts(self):
return "https://api.buildkite.com/v2"
def url_parameters(self):
return []
# TODO: generate these from the api_objects map.
def auth(self):
return self.api_objects['auth']
def organization(self):
return self.api_objects['organizations']
def pipelines(self):
return self.api_objects['pipelines']
def builds(self):
return self.api_objects['builds']
| 32.946429 | 70 | 0.619512 | 198 | 1,845 | 5.580808 | 0.338384 | 0.081448 | 0.101357 | 0.061538 | 0.086878 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001531 | 0.292141 | 1,845 | 55 | 71 | 33.545455 | 0.844564 | 0.060163 | 0 | 0 | 0 | 0 | 0.054335 | 0 | 0 | 0 | 0 | 0.018182 | 0 | 1 | 0.181818 | false | 0 | 0.113636 | 0.136364 | 0.477273 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 |
b1b59d8a7d29ef53dd847c35698cabe0f808da1a | 1,057 | py | Python | napari_etdb/etdb.py | alisterburt/napari-etdb | 731180630bf0b115340850cc421dacf2e5d63fc6 | [
"BSD-3-Clause"
] | 1 | 2021-09-07T05:13:33.000Z | 2021-09-07T05:13:33.000Z | napari_etdb/etdb.py | alisterburt/napari-etdb | 731180630bf0b115340850cc421dacf2e5d63fc6 | [
"BSD-3-Clause"
] | 1 | 2021-09-07T05:33:24.000Z | 2021-09-07T18:20:39.000Z | napari_etdb/etdb.py | alisterburt/napari-etdb | 731180630bf0b115340850cc421dacf2e5d63fc6 | [
"BSD-3-Clause"
] | null | null | null | """
Placeholder file for an actual interface to the ETDB
"""
from pydantic import BaseModel
from napari.utils.events import SelectableEventedList
from datetime import date, datetime
from typing import Optional
from .etdb_entries.placeholders import starfish, spheres
class Entry(BaseModel):
date: Optional[date] = None
microscopist: Optional[str] = None
species: Optional[str] = None
strain: Optional[str] = None
acquisition_settings: Optional[str] = None
microscope: Optional[str] = None
acquisition_software: Optional[str] = None
processing_software: Optional[str] = None
notes: Optional[str] = None
open_index_protocol_id: Optional[str] = None
preview_image_url: Optional[str] = None
tomogram_url: Optional[str] = None
def __hash__(self):
"""Implemented as object in SelectableEventedList must be hashable
"""
return id(self)
starfish = Entry.parse_obj(starfish)
spheres = Entry.parse_obj(spheres)
def get_entries():
return SelectableEventedList([starfish, spheres]) | 28.567568 | 74 | 0.731315 | 126 | 1,057 | 6 | 0.47619 | 0.160053 | 0.218254 | 0.068783 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.183538 | 1,057 | 37 | 75 | 28.567568 | 0.876014 | 0.118259 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0 | 0.208333 | 0.041667 | 0.916667 | 0 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
b1b62056f3f057fc80177f705ac081cf53aa44d7 | 563 | py | Python | sensorApi/api/migrations/0004_auto_20200504_2224.py | Pawel095/SensorArray | 1726b1d35c86fa6b2f44c45263e2785b166a5e75 | [
"MIT"
] | null | null | null | sensorApi/api/migrations/0004_auto_20200504_2224.py | Pawel095/SensorArray | 1726b1d35c86fa6b2f44c45263e2785b166a5e75 | [
"MIT"
] | null | null | null | sensorApi/api/migrations/0004_auto_20200504_2224.py | Pawel095/SensorArray | 1726b1d35c86fa6b2f44c45263e2785b166a5e75 | [
"MIT"
] | null | null | null | # Generated by Django 3.0.5 on 2020-05-04 20:24
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
("api", "0003_auto_20200504_2154"),
]
operations = [
migrations.AddField(
model_name="loggeddata",
name="humidity",
field=models.FloatField(default=0),
),
migrations.AddField(
model_name="loggeddata",
name="temperature",
field=models.FloatField(default=0),
),
]
| 23.458333 | 48 | 0.550622 | 53 | 563 | 5.754717 | 0.660377 | 0.118033 | 0.15082 | 0.177049 | 0.459016 | 0.268852 | 0 | 0 | 0 | 0 | 0 | 0.08871 | 0.339254 | 563 | 23 | 49 | 24.478261 | 0.731183 | 0.079929 | 0 | 0.470588 | 1 | 0 | 0.131846 | 0.046653 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.058824 | 0 | 0.235294 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
b1b9fcd0360c0892e2cc3c7642fda8653e07f7cf | 293 | py | Python | codql/codeql/config.py | Heersin/codeql_packer | 5d1258ce2419a67161ac3b844219ebdbe5310e59 | [
"MIT"
] | null | null | null | codql/codeql/config.py | Heersin/codeql_packer | 5d1258ce2419a67161ac3b844219ebdbe5310e59 | [
"MIT"
] | null | null | null | codql/codeql/config.py | Heersin/codeql_packer | 5d1258ce2419a67161ac3b844219ebdbe5310e59 | [
"MIT"
] | null | null | null | cpp_config = [
'query-lib/official/cpp/codeql-suites/cpp-security-and-quality.qls',
'query-lib/official/cpp/codeql-suites/cpp-security-extended.qls',
]
js_config = []
# exported
lang_configs = {
'cpp' : cpp_config,
'javascript' : js_config
}
need_compile = ['cpp', 'java'] | 18.3125 | 72 | 0.675768 | 38 | 293 | 5.052632 | 0.526316 | 0.09375 | 0.166667 | 0.197917 | 0.4375 | 0.4375 | 0.4375 | 0.4375 | 0 | 0 | 0 | 0 | 0.153584 | 293 | 16 | 73 | 18.3125 | 0.774194 | 0.027304 | 0 | 0 | 0 | 0.1 | 0.517606 | 0.447183 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
b1c082dddb99169a9d7ba76d70b86474d7d218f0 | 4,526 | py | Python | src/quoridor/QuoridorGame.py | oramleo/alphaquoridor | b9d99cfff8205d64ef0365bb864278aa238cf4be | [
"MIT"
] | 1 | 2021-12-11T04:14:30.000Z | 2021-12-11T04:14:30.000Z | src/quoridor/QuoridorGame.py | oramleo/alphaquoridor | b9d99cfff8205d64ef0365bb864278aa238cf4be | [
"MIT"
] | null | null | null | src/quoridor/QuoridorGame.py | oramleo/alphaquoridor | b9d99cfff8205d64ef0365bb864278aa238cf4be | [
"MIT"
] | null | null | null | import sys
import os
import numpy as np
sys.path.append(os.path.join(os.path.dirname(__file__), 'pathfind/build'))
from alphazero_general.Game import Game
from .QuoridorLogic import QuoridorBoard
class QuoridorGame(Game):
def __init__(self, n):
super().__init__()
self.n = n
self.action_size = 12 + 2 * (self.n - 1) ** 2
self.board_len = 2 * self.n - 1
def __str__(self):
return 'quoridor_n' + str(self.n) + '_v3'
def getInitBoard(self):
"""
Returns:
startBoard: a representation of the board (ideally this is the form
that will be the input to your neural network)
"""
return QuoridorBoard(self.n)
def getActionSize(self):
"""
Returns:
actionSize: number of all possible actions
"""
# 4 pawn moves, 8 jumps, 64 vertical walls, 64 horizontal walls
return self.action_size
def getBoardSize(self):
return (self.n, self.n, 2), (self.n - 1, self.n - 1, 2), 17
def getNextState(self, board, player, action):
"""
Input:
board: current board
player: current player (1 or -1)
action: action taken by current player
Returns:
nextBoard: board after applying action
nextPlayer: player who plays in the next turn (should be -player)
"""
next_board = QuoridorBoard(self.n, board=board)
next_board.executeAction(player, action)
return next_board, -player
def getValidActions(self, board, player):
"""
Input:
board: current board
player: current player
Returns:
validMoves: a binary vector of length self.getActionSize(), 1 for
moves that are valid from the current board and player,
0 for invalid moves
"""
return board.getValidActions(player)
def getGameEnded(self, board, player):
"""
Input:
board: current board
player: current player (1 or -1)
Returns:
r: 0 if game has not ended. 1 if player won, -1 if player lost,
small non-zero value for draw.
"""
return board.getGameEnded(player)
def getCanonicalForm(self, board, player):
"""
Input:
board: current board
player: current player (1 or -1)
Returns:
canonicalBoard: returns canonical form of board. The canonical form
should be independent of player. For e.g. in chess,
the canonical form can be chosen to be from the pov
of white. When the player is white, we can return
board as is. When the player is black, we can invert
the colors and return the board.
"""
next_board = QuoridorBoard(self.n, board=board)
return next_board.makeCanonical(player)
def getSymmetries(self, board, pi):
"""
Input:
board: current board
pi: policy vector of size self.getActionSize()
Returns:
symmForms: a list of [(board,pi)] where each tuple is a symmetrical
form of the board and the corresponding pi vector. This
is used when training the neural network from examples.
"""
pawn_moves = 12
vwa_size = pawn_moves + (self.n - 1) ** 2
vw_actions = list(np.flipud(np.array(pi[pawn_moves:vwa_size]).reshape(self.n - 1, self.n - 1)).flatten())
hw_actions = list(np.flipud(np.array(pi[vwa_size:]).reshape(self.n - 1, self.n - 1)).flatten())
pi2 = pi[:12] + vw_actions + hw_actions
pi2[2], pi2[3] = pi2[3], pi2[2]
pi2[6], pi2[7] = pi2[7], pi2[6]
pi2[8], pi2[10] = pi2[10], pi2[8]
pi2[9], pi2[11] = pi2[9], pi2[11]
return [(board.getBoard(), pi), (board.getBoardFlippedHorizontally(), pi2)]
def stringRepresentation(self, board):
"""
Input:
board: current board
Returns:
boardString: a quick conversion of board to a string format.
Required by MCTS for hashing.
"""
return board.getBoardHashable()
def display(self, board, name=None, save_folder=None, save=True):
board.plot(name=name, save_folder=save_folder, save=save)
| 33.525926 | 113 | 0.563853 | 551 | 4,526 | 4.558984 | 0.321234 | 0.033838 | 0.021497 | 0.052548 | 0.176354 | 0.176354 | 0.171576 | 0.119825 | 0.119825 | 0.119825 | 0 | 0.026581 | 0.34335 | 4,526 | 134 | 114 | 33.776119 | 0.818641 | 0.415599 | 0 | 0.043478 | 0 | 0 | 0.012576 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.26087 | false | 0 | 0.108696 | 0.043478 | 0.608696 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
b1c560d3dcb0fd5f35d6800083b8fa0821849fd9 | 2,821 | py | Python | game/consumers.py | Greenns/channels-obstruction | d91db6920815b02ac06320cc15e901725ea0f67f | [
"MIT"
] | 103 | 2017-02-16T10:18:15.000Z | 2022-01-10T23:38:16.000Z | game/consumers.py | fihuer/channels-obstruction | 3fa502c9a887cade1a51986c4afd5baf05de51c2 | [
"MIT"
] | 11 | 2020-02-12T03:15:17.000Z | 2022-02-26T18:56:46.000Z | game/consumers.py | fihuer/channels-obstruction | 3fa502c9a887cade1a51986c4afd5baf05de51c2 | [
"MIT"
] | 49 | 2017-05-19T06:18:51.000Z | 2022-02-15T16:53:19.000Z | import re
import logging
from channels import Group
from channels.sessions import channel_session
from .models import Game, GameSquare
from channels.auth import http_session_user, channel_session_user, channel_session_user_from_http
log = logging.getLogger(__name__)
from django.utils.decorators import method_decorator
from channels.generic.websockets import JsonWebsocketConsumer
class LobbyConsumer(JsonWebsocketConsumer):
# Set to True to automatically port users from HTTP cookies
# (you don't need channel_session_user, this implies it)
http_user = True
def connection_groups(self, **kwargs):
"""
Called to return the list of groups to automatically add/remove
this connection to/from.
"""
print("adding to connection group lobby")
return ["lobby"]
def connect(self, message, **kwargs):
"""
Perform things on connection start
"""
pass
def receive(self, content, **kwargs):
"""
Called when a message is received with either text or bytes
filled out.
"""
channel_session_user = True
action = content['action']
if action == 'create_game':
# create a new game using the part of the channel name
Game.create_new(self.message.user)
def disconnect(self, message, **kwargs):
"""
Perform things on connection close
"""
pass
class GameConsumer(JsonWebsocketConsumer):
# Set to True to automatically port users from HTTP cookies
# (you don't need channel_session_user, this implies it)
http_user = True
def connection_groups(self, **kwargs):
"""
Called to return the list of groups to automatically add/remove
this connection to/from.
"""
return ["game-{0}".format(kwargs['game_id'])]
def connect(self, message, **kwargs):
"""
Perform things on connection start
"""
pass
def receive(self, content, **kwargs):
"""
Called when a message is received with either text or bytes
filled out.
"""
channel_session_user = True
action = content['action']
print("MESSAGE ON OBSTRUCTION - {0}".format(action))
if action == 'claim_square':
# get the square object
square = GameSquare.get_by_id(content['square_id'])
square.claim('Selected', self.message.user)
if action == 'chat_text_entered':
# chat text
game = Game.get_by_id(content['game_id'])
game.add_log(content['text'], self.message.user)
game.send_game_update()
def disconnect(self, message, **kwargs):
"""
Perform things on connection close
"""
pass
| 28.21 | 97 | 0.627083 | 329 | 2,821 | 5.25228 | 0.303951 | 0.056713 | 0.0625 | 0.055556 | 0.578125 | 0.550926 | 0.550926 | 0.550926 | 0.550926 | 0.550926 | 0 | 0.000992 | 0.285005 | 2,821 | 99 | 98 | 28.494949 | 0.855726 | 0.274016 | 0 | 0.428571 | 0 | 0 | 0.087864 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.190476 | false | 0.095238 | 0.190476 | 0 | 0.52381 | 0.047619 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2 |
b1c76af39c924ec2be78cdbd17ab142924fda18a | 700 | py | Python | py-contract/producer-contract.py | victoriest/photio | f7873fe96e1f9794a34ca179554234eb91054717 | [
"Apache-2.0"
] | null | null | null | py-contract/producer-contract.py | victoriest/photio | f7873fe96e1f9794a34ca179554234eb91054717 | [
"Apache-2.0"
] | null | null | null | py-contract/producer-contract.py | victoriest/photio | f7873fe96e1f9794a34ca179554234eb91054717 | [
"Apache-2.0"
] | null | null | null | from flask import Flask, Response, make_response
import json
import config
app = Flask(__name__)
@app.route("/health")
def health():
result = {'status': 'UP'}
return Response(json.dumps(result), mimetype='application/json')
@app.route("/v1/api/invitation/invite")
def invite(token, scheduleId, targetUserId):
pass
@app.route("/v1/api/invitation/accept")
def accept(token, invitationId):
pass
@app.route("/v1/api/invitation/reject")
def reject(token, invitationId):
pass
@app.route("/v1/api/invitation/evaluate")
def evaluate(token, targetUserId, socre, message):
pass
if __name__ == "__main__":
app.run(host=config.HOST, port=config.PORT, debug=config.DEBUG)
| 19.444444 | 68 | 0.711429 | 91 | 700 | 5.32967 | 0.428571 | 0.082474 | 0.082474 | 0.107216 | 0.284536 | 0.237113 | 0.181443 | 0.181443 | 0 | 0 | 0 | 0.006601 | 0.134286 | 700 | 35 | 69 | 20 | 0.793729 | 0 | 0 | 0.181818 | 0 | 0 | 0.201429 | 0.145714 | 0 | 0 | 0 | 0 | 0 | 1 | 0.227273 | false | 0.181818 | 0.136364 | 0 | 0.409091 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
b1cd5e5a11bad9534977afd70d011f48bd5af433 | 519 | py | Python | Roomba Code/main.py | dotcomstar/Incredibots2019 | 506f470f320668b712a180845b6ab98726424fb9 | [
"MIT"
] | null | null | null | Roomba Code/main.py | dotcomstar/Incredibots2019 | 506f470f320668b712a180845b6ab98726424fb9 | [
"MIT"
] | null | null | null | Roomba Code/main.py | dotcomstar/Incredibots2019 | 506f470f320668b712a180845b6ab98726424fb9 | [
"MIT"
] | null | null | null | #!/usr/bin/python
import os
import sys
from wallaby import *
import constants as c
import actions as a
import movement as m
import gyro as g
import sensors as s
import utils as u
def main():
print "Starting main()\n"
u.setup()
u.calibrate() # You only need to include this command if you want the tophats to sense better at the cost of speed.
a.get_gas_valve()
print "Finished main\n"
u.shutdown(86)
if __name__== "__main__":
sys.stdout = os.fdopen(sys.stdout.fileno(),"w",0)
main();
| 22.565217 | 120 | 0.691715 | 88 | 519 | 3.965909 | 0.647727 | 0.028653 | 0.034384 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007299 | 0.208092 | 519 | 22 | 121 | 23.590909 | 0.841849 | 0.223507 | 0 | 0 | 0 | 0 | 0.102244 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.473684 | null | null | 0.105263 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 2 |
b1dfea9d6d33f6396ab7c7791e2bcf1a30ea7661 | 951 | py | Python | lib/coginvasion/gags/Inventory.py | theclashingfritz/Cog-Invasion-Online-Dump | 2561abbacb3e2e288e06f3f04b935b5ed589c8f8 | [
"Apache-2.0"
] | 1 | 2020-03-12T16:44:10.000Z | 2020-03-12T16:44:10.000Z | lib/coginvasion/gags/Inventory.py | theclashingfritz/Cog-Invasion-Online-Dump | 2561abbacb3e2e288e06f3f04b935b5ed589c8f8 | [
"Apache-2.0"
] | null | null | null | lib/coginvasion/gags/Inventory.py | theclashingfritz/Cog-Invasion-Online-Dump | 2561abbacb3e2e288e06f3f04b935b5ed589c8f8 | [
"Apache-2.0"
] | null | null | null | # uncompyle6 version 3.2.4
# Python bytecode 2.7 (62211)
# Decompiled from: Python 2.7.15 (v2.7.15:ca079a3ea3, Apr 30 2018, 16:30:26) [MSC v.1500 64 bit (AMD64)]
# Embedded file name: lib.coginvasion.gags.Inventory
from direct.directNotify.DirectNotifyGlobal import directNotify
from direct.showbase.DirectObject import DirectObject
class Inventory(DirectObject):
notify = directNotify.newCategory('Inventory')
def __init__(self):
DirectObject.__init__(self)
self.gags = None
return
def setGags(self, gagArray, ammo):
self.gags = {}
for gag in gagArray:
self.gags[gag] = ammo
self.gags = gagArray
self.gagAmmo = ammo
def getGags(self):
return self.gags
def getGagAmmo(self):
return self.gagAmmo
def getAmmoOfGag(self, index):
return self.getGagAmmo()[index]
def cleanup(self):
del self.gags
del self.gagAmmo | 27.171429 | 104 | 0.661409 | 118 | 951 | 5.262712 | 0.5 | 0.077295 | 0.038647 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.061111 | 0.242902 | 951 | 35 | 105 | 27.171429 | 0.801389 | 0.216614 | 0 | 0 | 0 | 0 | 0.012146 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.26087 | false | 0 | 0.086957 | 0.130435 | 0.608696 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 |
b1e5bd03375177a23f54dcd70374f81f872f644f | 53 | py | Python | spotdl/__init__.py | brayo-pip/Spotdl | 261faae2b23d00e3b0705be9120ebac91a70d2db | [
"MIT"
] | null | null | null | spotdl/__init__.py | brayo-pip/Spotdl | 261faae2b23d00e3b0705be9120ebac91a70d2db | [
"MIT"
] | null | null | null | spotdl/__init__.py | brayo-pip/Spotdl | 261faae2b23d00e3b0705be9120ebac91a70d2db | [
"MIT"
] | null | null | null | __all__ = ["search", "download","lyrics", "patches"]
| 26.5 | 52 | 0.641509 | 5 | 53 | 6 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.09434 | 53 | 1 | 53 | 53 | 0.625 | 0 | 0 | 0 | 0 | 0 | 0.509434 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
b1e84d7aabd4cbde434caa12989290c341d58a83 | 126 | py | Python | album_service.py | stesfu/musick | 0379dc221d91bda9d453410ba20524700a0239be | [
"MIT"
] | null | null | null | album_service.py | stesfu/musick | 0379dc221d91bda9d453410ba20524700a0239be | [
"MIT"
] | null | null | null | album_service.py | stesfu/musick | 0379dc221d91bda9d453410ba20524700a0239be | [
"MIT"
] | null | null | null | album_info = {
'Arrival - ABBA': {
'image': 'arrival.jpg',
'spotify_link_a': '1M4anG49aEs4YimBdj96Oy',
},
}
| 18 | 49 | 0.571429 | 11 | 126 | 6.272727 | 0.909091 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.073684 | 0.246032 | 126 | 6 | 50 | 21 | 0.652632 | 0 | 0 | 0 | 0 | 0 | 0.52381 | 0.174603 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
b1f553e31a1cf320b0ae926d018507be5ee2be00 | 622 | py | Python | src/pyrobot/azure_kinect/camera.py | gujralsanyam22/pyrobot | a0448714857b684d8b280f710e9304988524d2e0 | [
"MIT"
] | 2,150 | 2019-06-12T20:55:41.000Z | 2022-03-21T07:14:51.000Z | src/pyrobot/azure_kinect/camera.py | gujralsanyam22/pyrobot | a0448714857b684d8b280f710e9304988524d2e0 | [
"MIT"
] | 124 | 2019-06-22T17:12:27.000Z | 2022-02-26T11:43:13.000Z | src/pyrobot/azure_kinect/camera.py | gujralsanyam22/pyrobot | a0448714857b684d8b280f710e9304988524d2e0 | [
"MIT"
] | 329 | 2019-06-13T03:03:54.000Z | 2022-03-30T07:04:55.000Z | # Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from pyrobot.kinect2.camera import Kinect2Camera
class AzureKinectCamera(Kinect2Camera):
"""
This is camera class that interfaces with the KinectV2 camera
"""
def __init__(self, configs):
"""
Constructor of the KinectV2Camera class.
:param configs: Camera specific configuration object
:type configs: YACS CfgNode
"""
super(AzureKinectCamera, self).__init__(configs=configs)
| 25.916667 | 65 | 0.700965 | 73 | 622 | 5.863014 | 0.671233 | 0.046729 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.01046 | 0.231511 | 622 | 23 | 66 | 27.043478 | 0.884937 | 0.57074 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0.25 | 0 | 0.75 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
b1f6fed75bf0324561a438c671e1d089b3001bf6 | 210 | py | Python | cride/users/app.py | chulth/CRide | 3dd0aaf12d50ac7786d87413962b9a21e45c0cc7 | [
"MIT"
] | null | null | null | cride/users/app.py | chulth/CRide | 3dd0aaf12d50ac7786d87413962b9a21e45c0cc7 | [
"MIT"
] | null | null | null | cride/users/app.py | chulth/CRide | 3dd0aaf12d50ac7786d87413962b9a21e45c0cc7 | [
"MIT"
] | null | null | null | '''users app.'''
# Django
#from django.app import AppConfig
from django.apps import AppConfig
class UsersAppConfig(AppConfig):
'''users app config.'''
name = 'cride.users'
verbose_name = 'Users'
| 17.5 | 33 | 0.685714 | 25 | 210 | 5.72 | 0.52 | 0.111888 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.180952 | 210 | 11 | 34 | 19.090909 | 0.831395 | 0.32381 | 0 | 0 | 0 | 0 | 0.123077 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
5900d1d102fca4f9321bafdf2652c76ad5621680 | 1,262 | py | Python | models/windows_device_ad_account.py | MIchaelMainer/msgraph-v10-models-python | adad66363ebe151be2332f3ef74a664584385748 | [
"MIT"
] | 1 | 2021-03-07T07:02:22.000Z | 2021-03-07T07:02:22.000Z | models/windows_device_ad_account.py | MIchaelMainer/msgraph-v10-models-python | adad66363ebe151be2332f3ef74a664584385748 | [
"MIT"
] | null | null | null | models/windows_device_ad_account.py | MIchaelMainer/msgraph-v10-models-python | adad66363ebe151be2332f3ef74a664584385748 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
'''
# Copyright (c) Microsoft Corporation. All Rights Reserved. Licensed under the MIT License. See License in the project root for license information.
#
# This file was generated and any changes will be overwritten.
'''
from __future__ import unicode_literals
from ..one_drive_object_base import OneDriveObjectBase
class WindowsDeviceADAccount(OneDriveObjectBase):
def __init__(self, prop_dict={}):
self._prop_dict = prop_dict
@property
def domain_name(self):
"""Gets and sets the domainName
Returns:
str:
The domainName
"""
if "domainName" in self._prop_dict:
return self._prop_dict["domainName"]
else:
return None
@domain_name.setter
def domain_name(self, val):
self._prop_dict["domainName"] = val
@property
def user_name(self):
"""Gets and sets the userName
Returns:
str:
The userName
"""
if "userName" in self._prop_dict:
return self._prop_dict["userName"]
else:
return None
@user_name.setter
def user_name(self, val):
self._prop_dict["userName"] = val
| 24.745098 | 151 | 0.603011 | 141 | 1,262 | 5.156028 | 0.453901 | 0.099037 | 0.13205 | 0.046768 | 0.211829 | 0.211829 | 0.088033 | 0.088033 | 0 | 0 | 0 | 0.001152 | 0.312203 | 1,262 | 50 | 152 | 25.24 | 0.836406 | 0.301902 | 0 | 0.26087 | 0 | 0 | 0.06932 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.217391 | false | 0 | 0.086957 | 0 | 0.521739 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
591561bcd00ba95a3076d2995292ef8796f702d5 | 358 | py | Python | src/02/count.py | Octau/distributed-system | cec5fc1451f0297cdad95dab7c9ff19b0656be62 | [
"CC0-1.0"
] | null | null | null | src/02/count.py | Octau/distributed-system | cec5fc1451f0297cdad95dab7c9ff19b0656be62 | [
"CC0-1.0"
] | null | null | null | src/02/count.py | Octau/distributed-system | cec5fc1451f0297cdad95dab7c9ff19b0656be62 | [
"CC0-1.0"
] | null | null | null | import sys
n_huruf=0;
n_angka=0;
lines_number = 0
for line in sys.stdin:
for chara in line:
if(chara.isdigit()):
n_angka+=1
elif(chara.isalpha()):
n_huruf+=1
lines_number = lines_number + 1
sys.stdout.write('Jumlah huruf :'+str(n_huruf))
sys.stdout.write('\n')
sys.stdout.write('Jumlah angka :'+str(n_angka))
| 22.375 | 47 | 0.628492 | 57 | 358 | 3.789474 | 0.385965 | 0.083333 | 0.194444 | 0.185185 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.021583 | 0.223464 | 358 | 15 | 48 | 23.866667 | 0.755396 | 0 | 0 | 0 | 0 | 0 | 0.083799 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.071429 | 0 | 0.071429 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
591fc557a74e28b578bc53d5fbc4c14dcf236ed7 | 180 | py | Python | utils/ids/difficulty_id.py | rkwong43/Toh | 702f689aa2c37a9f6f463e24405b6c418fd0607f | [
"CC-BY-4.0"
] | 3 | 2020-01-28T16:02:26.000Z | 2020-01-29T21:47:14.000Z | utils/ids/difficulty_id.py | rkwong43/Tears-Under-Heaven | 702f689aa2c37a9f6f463e24405b6c418fd0607f | [
"CC-BY-4.0"
] | null | null | null | utils/ids/difficulty_id.py | rkwong43/Tears-Under-Heaven | 702f689aa2c37a9f6f463e24405b6c418fd0607f | [
"CC-BY-4.0"
] | null | null | null | from enum import Enum, auto
"""Represents the IDs of difficulty levels.
"""
class DifficultyID(Enum):
# Difficulties
EASY = auto()
NORMAL = auto()
HARD = auto()
| 15 | 43 | 0.638889 | 21 | 180 | 5.47619 | 0.761905 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.244444 | 180 | 11 | 44 | 16.363636 | 0.845588 | 0.066667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.2 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
5921edb8819a04fbbfb0f75b48d321362354828f | 1,188 | py | Python | LeetCode/Python/first_missing_positive.py | wh-acmer/minixalpha-acm | cb684ad70eaa61d42a445364cb3ee195b9e9302e | [
"MIT"
] | null | null | null | LeetCode/Python/first_missing_positive.py | wh-acmer/minixalpha-acm | cb684ad70eaa61d42a445364cb3ee195b9e9302e | [
"MIT"
] | null | null | null | LeetCode/Python/first_missing_positive.py | wh-acmer/minixalpha-acm | cb684ad70eaa61d42a445364cb3ee195b9e9302e | [
"MIT"
] | null | null | null | #!/usr/bin/env python
#coding: utf-8
class Solution:
# @param A, a list of integers
# @return an integer
def firstMissingPositive(self, A):
if not A: return 1
la = len(A)
i = 0
while i < la:
if i + 1 == A[i]:
i += 1
continue
if A[i] <= 0:
i += 1
continue
j = A[i]
while j > 0 and j <= la and j != A[j-1] and j != i:
t = A[j-1]
A[j-1] = j
j = t
if j > 0 and j <= la and j != A[j-1]: A[j-1] = j
i += 1
i = 1
while i <= la:
if A[i-1] != i: return i
i += 1
return A[la-1] + 1
if __name__ == '__main__':
s = Solution()
assert 3 == s.firstMissingPositive([1,2,0])
assert 2 == s.firstMissingPositive([3,4,-1,1])
assert 2 == s.firstMissingPositive([1,1])
assert 3 == s.firstMissingPositive([1,1,2,2])
assert 2 == s.firstMissingPositive([1,1,3,3])
assert 1 == s.firstMissingPositive([])
assert 1 == s.firstMissingPositive([2])
assert 3 == s.firstMissingPositive([2,1])
| 26.4 | 63 | 0.446128 | 170 | 1,188 | 3.070588 | 0.229412 | 0.321839 | 0.028736 | 0.16092 | 0.304598 | 0.193487 | 0.078544 | 0.057471 | 0.057471 | 0.057471 | 0 | 0.068376 | 0.409091 | 1,188 | 44 | 64 | 27 | 0.675214 | 0.068182 | 0 | 0.176471 | 0 | 0 | 0.007253 | 0 | 0 | 0 | 0 | 0 | 0.235294 | 1 | 0.029412 | false | 0 | 0 | 0 | 0.088235 | 0 | 0 | 0 | 0 | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
5941351462b05953e2bb10d7a3b6451404874428 | 1,430 | py | Python | class2/exercise2.py | SamerLabban/Network_Automation_Course | ca68e83a7699fded251aa6ec2f021e8a7e53ffed | [
"Apache-2.0"
] | 1 | 2017-04-30T17:43:51.000Z | 2017-04-30T17:43:51.000Z | class2/exercise2.py | SamerLabban/Network_Automation_Course | ca68e83a7699fded251aa6ec2f021e8a7e53ffed | [
"Apache-2.0"
] | null | null | null | class2/exercise2.py | SamerLabban/Network_Automation_Course | ca68e83a7699fded251aa6ec2f021e8a7e53ffed | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
import telnetlib
#Need the following to be able to use time.sleep
import time
#I need the following to be able to use try and except
import socket
import sys
TELNET_PORT = 23
TELNET_TIMEOUT = 6
#Create Telnet Connection
def telnet_connect(ip_addr):
try:
return telnetlib.Telnet(ip_addr, TELNET_PORT, TELNET_TIMEOUT)
except socket.timeout:
sys.exit("Connection time-out")
#Login to the router rtr1
def login(remote_conn, username, password):
output = remote_conn.read_until("sername", TELNET_TIMEOUT)
remote_conn.write(username + '\n')
output += remote_conn.read_until("ssword:", TELNET_TIMEOUT)
remote_conn.write(password + '\n')
return output
#Send command and return output
def send_command(remote_conn, cmd):
#strip any trailing newlines
cmd = cmd.rstrip()
remote_conn.write(cmd + '\n')
time.sleep(1)
return remote_conn.read_very_eager()
def main():
#pynet-rtr1 (Cisco 881)
ip_addr = '184.105.247.70'
username = 'pyclass'
password = '88newclass'
#Create telnet connection to the router
remote_conn = telnet_connect(ip_addr)
#Login
output = login(remote_conn, username, password)
time.sleep(1)
output = remote_conn.read_very_eager()
#Disable paging
remote_conn.write("terminal length 0" + '\n')
#Send command and return output
output = send_command(remote_conn, 'show ip int brief')
print output
remote_conn.close()
if __name__ == "__main__":
main()
| 23.064516 | 63 | 0.746154 | 213 | 1,430 | 4.812207 | 0.384977 | 0.136585 | 0.062439 | 0.058537 | 0.316098 | 0.056585 | 0.056585 | 0.056585 | 0 | 0 | 0 | 0.019721 | 0.148951 | 1,430 | 61 | 64 | 23.442623 | 0.822514 | 0.233566 | 0 | 0.055556 | 0 | 0 | 0.105166 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0.111111 | 0.111111 | null | null | 0.027778 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
594ef4c2e9b789a9cbcdb0044560f2ad24c9c6cc | 107 | py | Python | past/001/a/answer.py | TakuyaNoguchi/atcoder | d079402e6fe9c9aaf3a6fc9272331ee71fc497da | [
"MIT"
] | null | null | null | past/001/a/answer.py | TakuyaNoguchi/atcoder | d079402e6fe9c9aaf3a6fc9272331ee71fc497da | [
"MIT"
] | null | null | null | past/001/a/answer.py | TakuyaNoguchi/atcoder | d079402e6fe9c9aaf3a6fc9272331ee71fc497da | [
"MIT"
] | null | null | null | import re
S = input().rstrip()
if re.match('^[0-9]+$', S):
print(int(S) * 2)
else:
print('error') | 13.375 | 27 | 0.523364 | 18 | 107 | 3.111111 | 0.777778 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.035294 | 0.205607 | 107 | 8 | 28 | 13.375 | 0.623529 | 0 | 0 | 0 | 0 | 0 | 0.12037 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.166667 | 0 | 0.166667 | 0.333333 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
3cad61659053568395803614f7ad60a640dd6a42 | 960 | py | Python | cosmic_ray/operators/break_continue.py | rob-smallshire/cosmic-ray | 4fd751b38eee30568f8366e09452d7aa60be4e26 | [
"MIT"
] | null | null | null | cosmic_ray/operators/break_continue.py | rob-smallshire/cosmic-ray | 4fd751b38eee30568f8366e09452d7aa60be4e26 | [
"MIT"
] | null | null | null | cosmic_ray/operators/break_continue.py | rob-smallshire/cosmic-ray | 4fd751b38eee30568f8366e09452d7aa60be4e26 | [
"MIT"
] | null | null | null | """Implementation of the replace-break-with-continue and
replace-continue-with-break operators.
"""
import ast
from .operator import Operator
class ReplaceBreakWithContinue(Operator):
"Operator which replaces 'break' with 'continue'."
def visit_Break(self, node): # pylint: disable=invalid-name
"Visit a 'break' node."
return self.visit_mutation_site(node)
def mutate(self, node, _):
"""Replace a Break node with a Continue node."""
assert isinstance(node, ast.Break)
return ast.Continue()
class ReplaceContinueWithBreak(Operator):
"Operator which replaces 'continue' with 'break'."
def visit_Continue(self, node): # pylint: disable=invalid-name
"Visit a 'continue' node."
return self.visit_mutation_site(node)
def mutate(self, node, _):
"""Replace a Continue node with a Break node."""
assert isinstance(node, ast.Continue)
return ast.Break()
| 28.235294 | 67 | 0.679167 | 115 | 960 | 5.6 | 0.286957 | 0.049689 | 0.046584 | 0.090062 | 0.388199 | 0.304348 | 0.304348 | 0.304348 | 0.186335 | 0.186335 | 0 | 0 | 0.2125 | 960 | 33 | 68 | 29.090909 | 0.851852 | 0.397917 | 0 | 0.222222 | 0 | 0 | 0.2 | 0 | 0 | 0 | 0 | 0 | 0.111111 | 1 | 0.222222 | false | 0 | 0.111111 | 0 | 0.666667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
3cb1923af301402eb24b54bd236d10f07ebab9fd | 1,803 | py | Python | tests/transfer_from_rdbms_to_json_test.py | moshebeeri/datap | 9ff99bb435728cd69f2589e3ee858a06768ea85e | [
"Apache-2.0"
] | null | null | null | tests/transfer_from_rdbms_to_json_test.py | moshebeeri/datap | 9ff99bb435728cd69f2589e3ee858a06768ea85e | [
"Apache-2.0"
] | null | null | null | tests/transfer_from_rdbms_to_json_test.py | moshebeeri/datap | 9ff99bb435728cd69f2589e3ee858a06768ea85e | [
"Apache-2.0"
] | null | null | null |
from controller import Control
import mongomock
from elasticmock import elasticmock
from datetime import datetime
from freezegun import freeze_time
from datetime import datetime
import elasticsearch
from unittest import TestCase
from service import *
from projects.job import Job
import random
from rdbms import AlchemyEngineFactory
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import Column, Integer, String, DateTime
from sqlalchemy.orm import sessionmaker
Base = declarative_base()
class TestData(Base):
__tablename__ = 'TestData'
id = Column(Integer, primary_key=True)
number = Column(Integer)
timestamp = Column(DateTime, default=datetime.utcnow)
def __repr__(self):
return "<User(number='%d', timestamp='%s')>" % (self.number, str(self.timestamp))
class TestSQLiteToMongo(TestCase):
engineFactory: AlchemyEngineFactory = None
sqlite_engine = None
@classmethod
def setUpClass(cls):
super(TestSQLiteToMongo, cls).setUpClass()
cls.engineFactory = AlchemyEngineFactory()
cls.sqlite_engine = cls.engineFactory.sqlite_in_memory()
def sqlite_populate_many(self, session):
objects = []
for i in range(100):
test_data = TestData(number=i + 100)
session.add(test_data)
session.commit()
@mongomock.patch(servers=(('example.com', 27017),))
def test_transfer_elastic_to_mongo(self):
control = Control({'retryable': False})
sqlite = SQLiteDB()
# elastic = Elasticsearch(index='my_data')
# self.elastic_populate_many(elastic)
mongodb = MongoDB(connection = 'example.com')
control = control.add_source(sqlite).add_destination(mongodb)
assert control != None
docs = control.run(Job(from_time=datetime(2020, 11, 11), to_time= datetime(2020, 11, 12)))
assert len(docs) == 500
| 31.631579 | 94 | 0.747088 | 216 | 1,803 | 6.092593 | 0.444444 | 0.031915 | 0.027356 | 0.039514 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.019646 | 0.153078 | 1,803 | 56 | 95 | 32.196429 | 0.842174 | 0.042152 | 0 | 0.043478 | 0 | 0 | 0.042948 | 0 | 0 | 0 | 0 | 0 | 0.043478 | 1 | 0.086957 | false | 0 | 0.326087 | 0.021739 | 0.608696 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
3cc7eeed94683ad8a5d6e2313f924c29fd0e96fe | 371 | py | Python | mliyweb/api/v2/instances.py | FINRAOS/MLiy | a6fd56ad8a0de97d9862569d02e5d0f65c181acf | [
"Apache-2.0"
] | 13 | 2018-06-19T18:28:38.000Z | 2021-12-02T13:08:52.000Z | mliyweb/api/v2/instances.py | FINRAOS/MLiy | a6fd56ad8a0de97d9862569d02e5d0f65c181acf | [
"Apache-2.0"
] | 14 | 2018-08-09T14:49:08.000Z | 2022-02-10T10:54:55.000Z | mliyweb/api/v2/instances.py | FINRAOS/MLiy | a6fd56ad8a0de97d9862569d02e5d0f65c181acf | [
"Apache-2.0"
] | 2 | 2018-07-11T14:13:23.000Z | 2019-02-08T14:17:26.000Z | from rest_framework import viewsets
from rest_framework.permissions import AllowAny
from mliyweb.api.v2.serializers import InstanceSerializer
from mliyweb.models import Instance
class InstanceViewSet(viewsets.ModelViewSet):
queryset = Instance.objects.all().exclude(state__iexact='terminated')
serializer_class = InstanceSerializer
permission_classes = [AllowAny]
| 28.538462 | 70 | 0.843666 | 41 | 371 | 7.487805 | 0.658537 | 0.052117 | 0.110749 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002967 | 0.091644 | 371 | 12 | 71 | 30.916667 | 0.908012 | 0 | 0 | 0 | 0 | 0 | 0.027027 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.5 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
3ce159415d39a9d3be61532d952f625095ce234f | 1,717 | py | Python | ntcore/tcpsockets/tcp_stream.py | amorygalili/pynetworktables | 59b5d1328274e78393202fe2a7e09845f5ff63a5 | [
"BSD-3-Clause"
] | 56 | 2015-01-05T00:59:55.000Z | 2022-03-30T22:40:09.000Z | ntcore/tcpsockets/tcp_stream.py | amorygalili/pynetworktables | 59b5d1328274e78393202fe2a7e09845f5ff63a5 | [
"BSD-3-Clause"
] | 71 | 2015-01-17T23:17:03.000Z | 2021-12-28T18:44:44.000Z | ntcore/tcpsockets/tcp_stream.py | amorygalili/pynetworktables | 59b5d1328274e78393202fe2a7e09845f5ff63a5 | [
"BSD-3-Clause"
] | 36 | 2015-01-26T15:00:04.000Z | 2022-03-02T23:02:22.000Z | # novalidate
import select
import socket
import threading
class StreamEOF(IOError):
pass
class TCPStream(object):
def __init__(self, sd, peer_ip, peer_port, sock_type):
self.m_sd = sd
self.m_peerIP = peer_ip
self.m_peerPort = peer_port
self.m_rdsock = sd.makefile("rb")
self.m_wrsock = sd.makefile("wb")
self.close_lock = threading.Lock()
# Python-specific for debugging
self.sock_type = sock_type
def read(self, size):
# TODO: ntcore does a select to wait for read to be available. Necessary?
data = self.m_rdsock.read(size)
if size > 0 and len(data) != size:
raise StreamEOF("end of file")
return data
def readline(self):
return self.m_rdsock.readline()
def readStruct(self, s):
sz = s.size
data = self.m_rdsock.read(sz)
if len(data) != sz:
raise StreamEOF("end of file")
return s.unpack(data)
def send(self, contents):
self.m_wrsock.write(contents)
self.m_wrsock.flush()
def close(self):
with self.close_lock:
if self.m_sd:
try:
self.m_sd.shutdown(socket.SHUT_RDWR)
except OSError:
pass
self.m_sd.close()
# self.m_sd = None
def getPeerIP(self):
return self.m_peerIP
def getPeerPort(self):
return self.m_peerPort
def setNoDelay(self):
self.m_sd.setsockopt(socket.IPPROTO_TCP, socket.TCP_NODELAY, 1)
def _waitForReadEvent(self, timeout):
r, _, _ = select.select((self.m_sd,), (), (), timeout)
return len(r) > 0
| 23.520548 | 81 | 0.576587 | 221 | 1,717 | 4.312217 | 0.375566 | 0.094439 | 0.051417 | 0.047219 | 0.100735 | 0.06086 | 0 | 0 | 0 | 0 | 0 | 0.002582 | 0.323238 | 1,717 | 72 | 82 | 23.847222 | 0.817556 | 0.075131 | 0 | 0.085106 | 0 | 0 | 0.016425 | 0 | 0 | 0 | 0 | 0.013889 | 0 | 1 | 0.212766 | false | 0.042553 | 0.06383 | 0.06383 | 0.446809 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
3ce2b3933382b31b28c9fcfc52c41f5de36e94a4 | 2,820 | py | Python | REST/CDH/modify_yarn_config.py | doronve/myrep | 77fe6299f29453daae24990e974eddeb2ea2b17e | [
"Apache-2.0"
] | null | null | null | REST/CDH/modify_yarn_config.py | doronve/myrep | 77fe6299f29453daae24990e974eddeb2ea2b17e | [
"Apache-2.0"
] | null | null | null | REST/CDH/modify_yarn_config.py | doronve/myrep | 77fe6299f29453daae24990e974eddeb2ea2b17e | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
import urllib2
import sys, getopt
import base64
from urlparse import urlparse
import json
from pprint import pprint
import cdhRest
yarn_json = ' { "items" : [ { "name" : "yarn_nodemanager_resource_cpu_vcores", "value" : "8" }, { "name" : "yarn_nodemanager_resource_memory_mb", "value" : "8192" } ] }'
content_header = {'Content-type':'application/json',
'Accept':'application/vnd.error+json,application/json',
'Accept-Version':'1.0'}
yarnJsonObj = json.loads(yarn_json)
def main(argv):
chost = ''
username = ''
password = ''
try:
opts, args = getopt.getopt(argv,"h:u:p:",["chost=","user=","pass="])
except getopt.GetoptError:
print 'test.py -h <chost> -u <username> -p <password>'
sys.exit(2)
for opt, arg in opts:
if opt in ("-h", "--chost"):
chost = arg
elif opt in ("-u", "--user"):
username = arg
elif opt in ("-p", "--pass"):
password = arg
if __debug__: print 'host is:', chost
if __debug__: print 'username is:', username
if __debug__: print 'password is:', password
base64string = base64.encodestring( '%s:%s' % (username, password))[:-1]
authheader = 'Basic %s' % base64string
apiver = cdhRest.getversion(chost, authheader)
baseurl = "http://" + chost + ":7180/api/" + apiver + "/clusters"
clusterslist = cdhRest.get_cluster_names(baseurl, authheader)
for cluster in clusterslist:
baseurl1 = baseurl + "/" + cluster + "/services"
service = cdhRest.get_service_name_by_type(baseurl1, "YARN", authheader)
baseurl1 = baseurl1 + "/" + service + "/roleConfigGroups"
confgroups = cdhRest.get_conf_groups(baseurl1, "NODEMANAGER", authheader)
for confgroup in confgroups:
baseurl2 = baseurl1 + "/" + confgroup + "/config?view=full"
req = urllib2.Request(baseurl2)
req.add_header("Authorization", authheader)
handle = urllib2.urlopen(req)
thepage = handle.read()
data = json.loads(thepage)
#if __debug__: pprint(data)
# example taken from here http://stackoverflow.com/questions/21243834/doing-put-using-python-urllib2
baseURL = baseurl1 + "/" + confgroup + "/config"
if __debug__: print "baseURL = ", baseURL
request = urllib2.Request(url=baseURL, data=json.dumps(yarnJsonObj), headers=content_header)
if __debug__: print "request = ", request
request.add_header("Authorization", authheader)
if __debug__: print "request = ", request
request.get_method = lambda: 'PUT' #if I remove this line then the POST works fine.
if __debug__: print "request = ", request
response = urllib2.urlopen(request)
if __debug__: print response.read()
if __name__ == "__main__":
main(sys.argv[1:])
| 37.6 | 169 | 0.639716 | 321 | 2,820 | 5.411215 | 0.404984 | 0.036269 | 0.055268 | 0.032815 | 0.052965 | 0.037997 | 0 | 0 | 0 | 0 | 0 | 0.020455 | 0.219858 | 2,820 | 74 | 170 | 38.108108 | 0.769091 | 0.066667 | 0 | 0.05 | 0 | 0.016667 | 0.212709 | 0.045662 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0.116667 | 0.116667 | null | null | 0.166667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
3ce434b3d58945581d792a2f6395262bc7598409 | 4,400 | py | Python | scenarios/DLP_SH_v2/run_cases.py | grossmann-group/or-gym | 8ebad3bdc84cc7787592d7bf347fdd39eb24d982 | [
"MIT"
] | 6 | 2020-12-03T21:08:39.000Z | 2021-12-26T08:40:33.000Z | scenarios/DLP_SH_v2/run_cases.py | grossmann-group/or-gym | 8ebad3bdc84cc7787592d7bf347fdd39eb24d982 | [
"MIT"
] | 9 | 2020-09-21T19:03:54.000Z | 2022-03-07T09:05:56.000Z | scenarios/DLP_SH_v2/run_cases.py | grossmann-group/or-gym | 8ebad3bdc84cc7787592d7bf347fdd39eb24d982 | [
"MIT"
] | 1 | 2022-03-12T13:40:50.000Z | 2022-03-12T13:40:50.000Z | import or_gym
import pickle
from pyomo.opt import SolverFactory
from or_gym.algos.supply_network.math_prog import *
from or_gym.algos.supply_network.stoch_prog import *
#imputs
path = "./scenarios/"
ver = "v2"
model = "DLP"
mode = "SH"
window = 30
solver = "glpk"
#create file names
filename = path+"in"+ver+".pkl"
D = pickle.load(open(filename,'rb'))
filesave = path+model+"_"+mode+"_"+ver+"/"
#solve shrinking horizon model
for i in range(100):
#create environmnet with user specified demand
user_D = {(1,0): D[:,i]} #assign scenario to retail/market link
sample_path = {(1,0): True} #note that the specified demand is sampled from the prob distribution
env = or_gym.make("InvManagement-"+ver, env_config={'user_D': user_D,
'sample_path': sample_path})
#loop through each period in the simulation, optimizing along the way
for t in range(env.num_periods):
#create model
m=net_im_lp_model(env,window_size=window,use_expectation=True)
#select solver
s=SolverFactory(solver)
#solve model
res=s.solve(m, tee=False)
#check result is optimal
if res['Solver'][0]['Termination condition'][:] != 'optimal':
print("ERROR: NOT OPTIMAL")
break
#extract reorder quantities
Ropt=m.R.get_values()
#pass action for the current timestep only (i.e. t=0)
action={e[1:]:Ropt[e] for e in Ropt.keys() if e[0]==0}
outcome=env.step(action)
#print profit for the total simulation run
print("Case " + str(i) + " - " + str(env.P.sum().sum()))
#pickle environment
pickle.dump(env, open(filesave+"run"+str(i)+".pkl","wb"))
# Cumulative Profits:
# Case 0 - 767.472
# Case 1 - 902.6880000000001
# Case 2 - 804.315
# Case 3 - 854.0160000000001
# Case 4 - 859.086
# Case 5 - 824.8399999999999
# Case 6 - 857.886
# Case 7 - 841.5989999999999
# Case 8 - 782.482
# Case 9 - 842.7719999999999
# Case 10 - 861.606
# Case 11 - 793.9260000000002
# Case 12 - 853.2360000000001
# Case 13 - 847.98
# Case 14 - 852.0160000000001
# Case 15 - 785.8220000000001
# Case 16 - 814.9360000000001
# Case 17 - 798.935
# Case 18 - 827.2859999999998
# Case 19 - 794.171
# Case 20 - 885.75
# Case 21 - 873.152
# Case 22 - 845.5509999999999
# Case 23 - 870.4390000000001
# Case 24 - 838.8389999999999
# Case 25 - 823.0610000000001
# Case 26 - 768.0480000000002
# Case 27 - 860.135
# Case 28 - 832.598
# Case 29 - 761.7920000000001
# Case 30 - 732.9990000000003
# Case 31 - 849.8599999999999
# Case 32 - 834.1680000000001
# Case 33 - 785.5120000000002
# Case 34 - 851.472
# Case 35 - 761.8120000000001
# Case 36 - 840.9250000000002
# Case 37 - 830.76
# Case 38 - 842.8509999999999
# Case 39 - 844.1100000000001
# Case 40 - 835.0889999999999
# Case 41 - 776.4780000000001
# Case 42 - 820.421
# Case 43 - 728.0729999999999
# Case 44 - 786.454
# Case 45 - 759.7570000000001
# Case 46 - 855.989
# Case 47 - 842.3520000000001
# Case 48 - 869.825
# Case 49 - 847.2250000000001
# Case 50 - 832.74
# Case 51 - 848.6969999999999
# Case 52 - 911.2819999999999
# Case 53 - 833.306
# Case 54 - 838.1010000000001
# Case 55 - 781.2520000000002
# Case 56 - 801.8880000000001
# Case 57 - 793.367
# Case 58 - 845.1510000000003
# Case 59 - 803.0619999999999
# Case 60 - 857.7310000000002
# Case 61 - 862.876
# Case 62 - 815.54
# Case 63 - 840.1860000000001
# Case 64 - 750.0720000000001
# Case 65 - 797.1399999999999
# Case 66 - 812.703
# Case 67 - 844.8230000000001
# Case 68 - 880.039
# Case 69 - 815.5909999999999
# Case 70 - 817.6570000000002
# Case 71 - 748.762
# Case 72 - 827.7429999999999
# Case 73 - 859.8779999999999
# Case 74 - 838.6980000000001
# Case 75 - 850.6070000000002
# Case 76 - 866.692
# Case 77 - 811.1239999999998
# Case 78 - 794.3320000000001
# Case 79 - 789.0690000000002
# Case 80 - 805.9580000000001
# Case 81 - 818.9090000000001
# Case 82 - 835.829
# Case 83 - 800.0029999999999
# Case 84 - 816.521
# Case 85 - 874.163
# Case 86 - 846.1049999999998
# Case 87 - 862.8380000000002
# Case 88 - 777.5250000000001
# Case 89 - 819.4320000000002
# Case 90 - 831.5439999999999
# Case 91 - 833.7629999999999
# Case 92 - 850.8490000000002
# Case 93 - 854.415
# Case 94 - 798.4720000000002
# Case 95 - 823.6989999999998
# Case 96 - 866.8779999999999
# Case 97 - 796.9650000000001
# Case 98 - 752.9560000000001
# Case 99 - 871.815 | 29.530201 | 101 | 0.674091 | 647 | 4,400 | 4.547141 | 0.61051 | 0.006798 | 0.006118 | 0.009517 | 0.018355 | 0.018355 | 0 | 0 | 0 | 0 | 0 | 0.42024 | 0.205 | 4,400 | 149 | 102 | 29.530201 | 0.420812 | 0.668409 | 0 | 0 | 0 | 0 | 0.099702 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.16129 | 0 | 0.16129 | 0.064516 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
3ce6866c70e654a59b3bff53a3c4d3db0f346e1f | 804 | py | Python | tests/schema_comparer/not_matches/test_schema_comparer_struct_to_struct.py | icanbwell/SparkDataFrameComparer | f6364ada42d83a77cd6fcc34993dfc655f6324fc | [
"Apache-2.0"
] | 1 | 2020-10-31T23:25:02.000Z | 2020-10-31T23:25:02.000Z | tests/schema_comparer/not_matches/test_schema_comparer_struct_to_struct.py | imranq2/SparkDataFrameComparer | 46de202f26713d91d747faee6b0dcf54a872739d | [
"Apache-2.0"
] | null | null | null | tests/schema_comparer/not_matches/test_schema_comparer_struct_to_struct.py | imranq2/SparkDataFrameComparer | 46de202f26713d91d747faee6b0dcf54a872739d | [
"Apache-2.0"
] | null | null | null | from pyspark.sql.types import (
StructType,
StructField,
StringType,
IntegerType,
FloatType,
)
from spark_data_frame_comparer.schema_comparer import SchemaComparer
def test_schema_comparer_struct_to_struct() -> None:
print("")
source_schema: StructType = StructType(
[
StructField("name", StructType([StructField("given", FloatType())])),
StructField("age", IntegerType()),
]
)
desired_schema: StructType = StructType(
[
StructField("name", StructType([StructField("given", StringType())])),
StructField("age", IntegerType()),
]
)
SchemaComparer.compare_schema(
parent_column_name=None,
source_schema=source_schema,
desired_schema=desired_schema,
)
| 25.935484 | 82 | 0.635572 | 69 | 804 | 7.144928 | 0.434783 | 0.212982 | 0.105477 | 0.150101 | 0.271805 | 0.271805 | 0.271805 | 0.271805 | 0 | 0 | 0 | 0 | 0.252488 | 804 | 30 | 83 | 26.8 | 0.8203 | 0 | 0 | 0.074074 | 0 | 0 | 0.029851 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.037037 | true | 0 | 0.074074 | 0 | 0.111111 | 0.037037 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
3cec10af265e59a9e78c3e2145439e2d6aa5c28c | 393 | py | Python | DataStructures-Algorithms/Udacity-Python-DSA/02-Stacks-and-Queues/implement-queue-class.py | shoaibur/SWE | 1e114a2750f2df5d6c50b48c8e439224894d65da | [
"MIT"
] | 1 | 2020-11-14T18:28:13.000Z | 2020-11-14T18:28:13.000Z | DataStructures-Algorithms/Udacity-Python-DSA/02-Stacks-and-Queues/implement-queue-class.py | shoaibur/SWE | 1e114a2750f2df5d6c50b48c8e439224894d65da | [
"MIT"
] | null | null | null | DataStructures-Algorithms/Udacity-Python-DSA/02-Stacks-and-Queues/implement-queue-class.py | shoaibur/SWE | 1e114a2750f2df5d6c50b48c8e439224894d65da | [
"MIT"
] | null | null | null | class Queue(object):
def __init__(self):
self.q = []
def push(self, value):
self.q.insert(0, value)
def pop(self):
return self.q.pop()
def is_empty(self):
return self.q == []
def size(self):
return len(self.q)
# Example
q = Queue()
q.push(1)
q.push(2)
q.push(3)
print(q.q) # [3, 2, 1]
q.pop()
print(q.q) # [3, 2]
| 16.375 | 31 | 0.503817 | 63 | 393 | 3.063492 | 0.349206 | 0.129534 | 0.082902 | 0.15544 | 0.093264 | 0 | 0 | 0 | 0 | 0 | 0 | 0.033457 | 0.315522 | 393 | 23 | 32 | 17.086957 | 0.684015 | 0.061069 | 0 | 0.111111 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.277778 | false | 0 | 0 | 0.166667 | 0.5 | 0.111111 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 |
3cf243c8128823ad0a1f5e9690d2a0b22b044352 | 1,802 | py | Python | invenio_resourcesync/exporter/ext.py | mhaya/invenio-resourcesync | c76188ea713118e01fe6af3b66ae957c4d9ab60d | [
"MIT"
] | null | null | null | invenio_resourcesync/exporter/ext.py | mhaya/invenio-resourcesync | c76188ea713118e01fe6af3b66ae957c4d9ab60d | [
"MIT"
] | null | null | null | invenio_resourcesync/exporter/ext.py | mhaya/invenio-resourcesync | c76188ea713118e01fe6af3b66ae957c4d9ab60d | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
#
# This file is part of Zenodo.
# Copyright (C) 2018 CERN.
#
# Zenodo is free software; you can redistribute it
# and/or modify it under the terms of the GNU General Public License as
# published by the Free Software Foundation; either version 2 of the
# License, or (at your option) any later version.
#
# Zenodo is distributed in the hope that it will be
# useful, but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
# General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with Zenodo; if not, write to the
# Free Software Foundation, Inc., 59 Temple Place, Suite 330, Boston,
# MA 02111-1307, USA.
#
# In applying this license, CERN does not
# waive the privileges and immunities granted to it by virtue of its status
# as an Intergovernmental Organization or submit itself to any jurisdiction.
"""Exporter extension."""
from __future__ import absolute_import, print_function
from flask import current_app
from . import config
class InvenioExporter(object):
"""Exporter extension."""
def __init__(self, app=None):
"""Extension initialization."""
if app:
self.init_app(app)
@staticmethod
def init_config(app):
"""Initialize configuration."""
for k in dir(config):
if k.startswith('EXPORTER_'):
app.config.setdefault(k, getattr(config, k))
def init_app(self, app):
"""Flask application initialization."""
self.init_config(app)
app.extensions['invenio-exporter'] = self
def job(self, job_id):
"""Get export job definition."""
return current_app.config['EXPORTER_JOBS'].get(job_id, None)
| 31.614035 | 76 | 0.695893 | 249 | 1,802 | 4.955823 | 0.546185 | 0.029173 | 0.031605 | 0.046191 | 0.066451 | 0.045381 | 0 | 0 | 0 | 0 | 0 | 0.014114 | 0.213652 | 1,802 | 56 | 77 | 32.178571 | 0.85674 | 0.596004 | 0 | 0 | 0 | 0 | 0.056296 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.235294 | false | 0 | 0.176471 | 0 | 0.529412 | 0.058824 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
a70c0be1149a0cfa6d7601960be0d176269b5d10 | 101 | py | Python | 01-introduction-functional-paradigm/functional_programming.py | saidulislam/Functional-Programming-in-Python | 27ae205f9cf0fa38e16e29089cf72981f8a51a78 | [
"Apache-2.0"
] | null | null | null | 01-introduction-functional-paradigm/functional_programming.py | saidulislam/Functional-Programming-in-Python | 27ae205f9cf0fa38e16e29089cf72981f8a51a78 | [
"Apache-2.0"
] | null | null | null | 01-introduction-functional-paradigm/functional_programming.py | saidulislam/Functional-Programming-in-Python | 27ae205f9cf0fa38e16e29089cf72981f8a51a78 | [
"Apache-2.0"
] | null | null | null | import functools
my_list = [1,2,3,4]
sum = functools.reduce(lambda x,y: x+y, my_list)
print(sum) | 20.2 | 49 | 0.683168 | 20 | 101 | 3.35 | 0.7 | 0.179104 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.047059 | 0.158416 | 101 | 5 | 50 | 20.2 | 0.741176 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.25 | 0.25 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
a71c7ecac5633d8136f7ec1764bea45c0cd0795c | 9,921 | py | Python | src/applications/danews/add_metadata.py | centre-for-humanities-computing/danish-foundation-models | 1cc0950fab55650fd92f56b4bad0b13a5be73061 | [
"MIT"
] | 8 | 2021-12-10T08:37:55.000Z | 2022-02-08T14:42:01.000Z | src/applications/danews/add_metadata.py | centre-for-humanities-computing/danish-foundation-models | 1cc0950fab55650fd92f56b4bad0b13a5be73061 | [
"MIT"
] | 47 | 2021-12-12T14:41:31.000Z | 2022-03-31T08:57:56.000Z | src/applications/danews/add_metadata.py | centre-for-humanities-computing/danish-foundation-models | 1cc0950fab55650fd92f56b4bad0b13a5be73061 | [
"MIT"
] | null | null | null | """
Add description to dataset and generate an outline to a datasheet describing the
dataset.
Dependent on:
src/applications/danews/dedupe.py
Authors:
Kenneth Enevoldsen
"""
from datasets import load_from_disk
from pathlib import Path
import spacy
def word_count(batch):
nlp = spacy.blank("da")
batch["n_tokens"] = [len(doc) for doc in nlp.pipe(batch["text"])]
return batch
print("Loading dataset")
path = Path("/work/hope-infomedia_cleaned/infomedia_2000-2021")
news = load_from_disk(path)
print("Add n_tokens column")
news = news.map(word_count, batched=True, batch_size=1024 * 2 * 2, num_proc=16)
# Add description
print("Creating metadata")
dates = news["PublishDate"]
start_date = min(dates).strftime("%d/%m/%Y")
end_date = max(dates).strftime("%d/%m/%Y")
print("\tCounting unique sources")
sources = news["Source"]
n_sources = len(set(sources))
print("\tExtracting duplicate counts")
n_tokens_ = news["n_tokens"]
n_tokens = sum(n_tokens_)
is_duplicate_ = news["is_duplicate"]
n_clean_tokens = sum(
n_tok for n_tok, is_dup in zip(n_tokens_, is_duplicate_) if is_dup is False
)
n_non_duplicates = sum([1 for is_dup in is_duplicate_ if is_dup is False])
n_duplicates = sum([1 for is_dup in is_duplicate_ if is_dup is True])
n_docs = len(news)
print("\tExtracting number of low-quality text")
passed_quality_filter = news["passed_quality_filter"]
n_low_quality = sum(1 for is_good in passed_quality_filter if is_good is False)
news.info.description = f"""
DaNews consist of articles collected from the [Infomedia](https://infomedia.dk) and
consists of {n_docs} articles across {n_sources} news sources. DaNews include articles
from the period {start_date} to {end_date}.
DaNews have been filters out quality using a series of heuristic filters and removing
repitious texts. Following the filtering DaNews is deduplicated to remove exact and
near-duplicates. For more on data cleaning see post processing.
DaNews includes a total of {n_tokens} tokens of which {n_clean_tokens}
({n_clean_tokens/n_tokens:.2f}%) are left after filtering.
## Datasheet:
### Motivation:
**For what purpose was the dataset created? Who created the dataset? Who funded the
creation of the dataset? **
The dataset was created for pre-training Danish language models by a team of researchers
at Center for Humanities Computing Aarhus (CHCAA) using a codebase jointly developed
with partners from industry (e.g. KMD, Ekstra Bladet) and other research institutions
(e.g. Briston University). For more on collaborators on this project see the
[GitHub repository](https://github.com/centre-for-humanities-computing/danish-foundation-models
).
**Any other comments?**
No.
## Composition
**What do the instances that comprise the dataset represent (e.g., documents, photos,
people, countries)?**
All instances of the dataset are Danish articles depending on the source these are
derived from tabloid media or mainstream news.
**How many instances are there in total (of each type, if appropriate)?**
The dataset consist of {n_docs} documents where {n_docs-n_duplicates}
({n_duplicates/n_docs:.2f}%) are left after filtering.
**Does the dataset contain all possible instances or is it a sample (not necessarily
random) of instances from a larger set?**
Prior to filtering this dataset contains all instances of new articles from the given
period across the sources.
**If the dataset is a sample from a larger set, what was the sampling strategy?**
The dataset is not a sample, however it is filtered as described in post processing.
**Who was involved in the data collection process?**
A team of researchers at Center for Humanities Computing Aarhus (CHCAA) recieved this
dataset in a collaboration with Infomedia.
**Over what timeframe was the data collected?**
The dataset include articles from the period {start_date} to {end_date}.
**Were any ethical review processes conducted?**
No.
## Preprocessing/cleaning/labeling
**Was any preprocessing/Cleaning/Labeling of the data done (e.g., discretization or
bucketing, tokenization, part-of-speech tagging, SIFT feature extraction, removal of
instances, processing of missing values)?**
We filter documents that are not in Danish. We remove low-quality text and deduplicate
documents based on their document-level n-gram similarity. The full pre-processing
details are given in the post processing section.
**Is the software used to preprocess/clean/label the instances available?**
Yes, the script are avaiable
[here](https://github.com/centre-for-humanities-computing/danish-foundation-models/tree/main/src/application/danews).
Which used version 0.0.1 of the
[dfm package](https://github.com/centre-for-humanities-computing/danish-foundation-models).
## Uses
**Has the dataset been used for any tasks already?**
Yes, the dataset has been used to pre-train Danish language models. Parts of the dataset
have also been used in:
- Baglini, R. B., Nielbo, K. L., Hæstrup, F., Enevoldsen, K., Vahlstrup, P. B., &
Roepstorff, A. (2021, June 2). When no news is bad news: Detection of negative events
from news media content. https://2021.dhbenelux.org/
- Nielbo, K. L., Baglini, R. B., Vahlstrup, P. B., Enevoldsen, K. C., Bechmann, A., &
Roepstorff, A. (2021, January). News information decoupling: An information signature of
catastrophes in legacy news media. https://eadh2020-2021.org/
**Is there a repository that links to any or all papers or systems that use the
dataset?**
No.
**What (other) tasks could the dataset be used for?**
The scale of the dataset makes it suitable for NLP tasks such as language modelling.
Similarly, the structure of the articles make it a suitable dataset for training text
summerization models.
**Is there anything about the composition of the dataset or the way it was collected and
preprocessed/cleaned/labeled that might impact future uses?**
This dataset is static and thus does not evolve over time with the language, thus will
become increasingly outdated over time.
**Are there tasks for which the dataset should not be used?**
This dataset contains Danish articles and thus should not be used for Danish language
task. As the writers of the content is predominantly journalists, it reflect a certain
social group which is unlikely to reflect Danish language as a whole.
## Distribution
**Will the dataset be distributed to third parties outside of the entity (e.g., company,
institution, organization) on behalf of which the dataset was created?**
No.
"""
news.info.license = "Not publicly available."
news.info.post_processed = f"""
# Post processing
DaNews have been filtered for quality using a series of heuristic filters and removing
repitious texts. Following the filtering DaNews is deduplicated to remove exact and
near-duplicates.
A total of {n_low_quality} ({n_low_quality/n_docs:.2f}%) were considered low quality and
a total of {n_duplicates} ({n_duplicates/(n_non_duplicates+n_duplicates):.2f}%)
documents were considered duplicates.
## Quality Filter:
For the quality filtering DaNews applies a filter akin to [2] which filters text which
does not:
- Contain at least 2 Danish stopwords. For the stopword list we use the one used in
SpaCy v.3.1.4.
- Have mean word length between 3-10.
- Have a token length between 50-100 000.
- Have a less than 5 000 000 characters.
- Have a less than 60% words containing an alphabetic character.
- Have a symbol to word ratio lower than 10% for hashtags an ellipsis.
- Have less than 90% of lines starting with a bullet point.
- have less than 30% of lines ending with an ellipsis.
- Have low high degree of repitiuous text:
- Less than 20% duplicate lines.
- Less than 20% duplicate paragraphs.
- Where the top 2-4 grams constitute less than 20%, 18%, 16%, respectively, of the
text.
- Where the duplicate 5-10 grams constitute less than 25%, 24%, 23%, 22%, 21%, 20% of
the text, respectively.
## Deduplication
The deduplication removed all documents with a 13-gram similarity higher than 80%
following the MinHash algorithm [1] using 128 permutation. The MinHash algorithm is a
probabilistic data structure for approximating the Jaccard similarity between two sets.
References:
- [1] Broder, Andrei Z. "On the resemblance and containment of documents."
Proceedings. Compression and Complexity of SEQUENCES 1997
(Cat. No. 97TB100171). IEEE, 1997.
- [2] Rae, J. W., Borgeaud, S., Cai, T., Millican, K., Hoffmann, J., Song, F.,
Aslanides, J., Henderson, S., Ring, R., Young, S., Rutherford, E., Hennigan,
T., Menick, J., Cassirer, A., Powell, R., Driessche, G. van den, Hendricks,
L. A., Rauh, M., Huang, P.-S., … Irving, G. (2021).
Scaling Language Models: Methods, Analysis & Insights from Training Gopher.
https://arxiv.org/abs/2112.11446v2
"""
news.info.version = "1.0.0"
news.info.citation = """If you wish to cite this work please see our GitHub page for an
up to date citation:
https://github.com/centre-for-humanities-computing/danish-foundation-models"""
news.info.homepage = (
"https://github.com/centre-for-humanities-computing/danish-foundation-models"
)
# write markdown file
print("\tWriting markdown file")
md = f"""
# DaNews
*Version*: {news.info.version}
*Homepage*: {news.info.homepage}
*license*: {news.info.license}
{news.info.description}
{news.info.post_processed}
### Citation
{news.info.citation}
"""
print("Saving description markdown")
with open("danish-foundation-models/docs/danews.md", "w") as f:
f.write(md)
# write dataset with added metadata
print("Saving dataset")
save_path = Path("/work/hope-infomedia_cleaned/infomedia_2000-2021.arrow")
news.save_to_disk(save_path)
# write meta file
news_sub = news.remove_columns(
[
c
for c in news.features.keys()
if c not in {"n_tokens", "is_duplicate", "passed_quality_filter", "Source"}
]
)
news_sub.to_csv("news_meta.csv")
| 35.55914 | 117 | 0.753452 | 1,536 | 9,921 | 4.803385 | 0.342448 | 0.029818 | 0.020873 | 0.013554 | 0.154242 | 0.137436 | 0.137436 | 0.137436 | 0.133098 | 0.119816 | 0 | 0.018563 | 0.152908 | 9,921 | 278 | 118 | 35.68705 | 0.858996 | 0.026409 | 0 | 0.04712 | 1 | 0.062827 | 0.849606 | 0.05255 | 0 | 0 | 0 | 0 | 0 | 1 | 0.005236 | false | 0.015707 | 0.015707 | 0 | 0.026178 | 0.04712 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
a7308795495e8f8ade2f72037b391b0808e98305 | 533 | py | Python | tests.py | sorengoyal/combat-evolved | c760bf8aedd7eeb29afeacb02b052f91f388cc0c | [
"CC-BY-3.0"
] | null | null | null | tests.py | sorengoyal/combat-evolved | c760bf8aedd7eeb29afeacb02b052f91f388cc0c | [
"CC-BY-3.0"
] | 2 | 2017-06-10T18:38:02.000Z | 2017-06-24T02:39:32.000Z | tests.py | sorengoyal/combat-evolved | c760bf8aedd7eeb29afeacb02b052f91f388cc0c | [
"CC-BY-3.0"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Jun 1 20:45:09 2017
@author: sogoyal
"""
from app.tests.TestServerMethods import TestServerMethods
from app.tests.TestGeospatial import TestGeospatial
import unittest
API_KEY = '3d42933f4c284a3b8dd2c5200e97da00'
suite = unittest.TestSuite()
loader = unittest.TestLoader()
suite.addTests(loader.loadTestsFromTestCase(TestServerMethods))
#suite.addTests(loader.loadTestsFromTestCase(TestGeospatial))
runner = unittest.TextTestRunner(verbosity=3)
runner.run(suite)
| 25.380952 | 63 | 0.797373 | 59 | 533 | 7.186441 | 0.661017 | 0.033019 | 0.056604 | 0.188679 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.072165 | 0.090056 | 533 | 20 | 64 | 26.65 | 0.802062 | 0.294559 | 0 | 0 | 0 | 0 | 0.087432 | 0.087432 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 0.333333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 2 |
597ea57970ac878f088034814530597b72f4cc24 | 1,144 | py | Python | satoshi.py | malorento/satoshi | adbc6b08455d7c06684fc6588d86822a5cfab44a | [
"MIT"
] | null | null | null | satoshi.py | malorento/satoshi | adbc6b08455d7c06684fc6588d86822a5cfab44a | [
"MIT"
] | null | null | null | satoshi.py | malorento/satoshi | adbc6b08455d7c06684fc6588d86822a5cfab44a | [
"MIT"
] | null | null | null | from Core import core
from Core import decor
print(decor.banner)
while True:
print(decor.menu)
choose = int(input(decor.yellow + "Enter number >> "))
if choose == 1:
file = input(decor.yellow + "Enter filename with extension (file.txt) >> ")
password = input(decor.yellow + "Enter password for file (remember it) >> ")
try:
core.encrypt(file, password)
break
except:
print(decor.red + "[!] Error [!]")
continue
elif choose == 2:
ext = input(decor.yellow + "Enter file extension (txt | py | data | ini | etc) >> ")
file = input(decor.yellow + "Enter filename with extension (file.txt.aes) >> ")
password = input(decor.yellow + "Enter file password >> ")
try:
core.decrypt(ext, file, password)
break
except ValueError:
print(decor.red + "[!] Wrong password [!]" + decor.reset)
continue
elif choose == 3:
break
else:
print(decor.red + "[!] Inknown command [!]" + decor.reset)
continue
| 29.333333 | 93 | 0.533217 | 121 | 1,144 | 5.041322 | 0.404959 | 0.098361 | 0.157377 | 0.206557 | 0.316393 | 0.17377 | 0.17377 | 0.17377 | 0.17377 | 0.17377 | 0 | 0.003995 | 0.343531 | 1,144 | 38 | 94 | 30.105263 | 0.808256 | 0 | 0 | 0.266667 | 0 | 0 | 0.256781 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.166667 | 0.066667 | 0 | 0.066667 | 0.166667 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
5983197b11ab4b941ff446cf4950d269e0a51cab | 4,144 | py | Python | examples/pytorch/models/GPyTorchModels.py | UTokyo-ICEPP/multiml_htautau | 5f926c2291a55f57419aa0130d07e2a793fc7353 | [
"Apache-2.0"
] | null | null | null | examples/pytorch/models/GPyTorchModels.py | UTokyo-ICEPP/multiml_htautau | 5f926c2291a55f57419aa0130d07e2a793fc7353 | [
"Apache-2.0"
] | null | null | null | examples/pytorch/models/GPyTorchModels.py | UTokyo-ICEPP/multiml_htautau | 5f926c2291a55f57419aa0130d07e2a793fc7353 | [
"Apache-2.0"
] | null | null | null | import torch
import gpytorch
from gpytorch.distributions import MultitaskMultivariateNormal
class MultitaskGPModel(gpytorch.models.ApproximateGP):
def __init__(self, inducing_points_num, input_dim, num_latents, num_tasks=8):
# Let's use a different set of inducing points for each latent function
# num_latents x inducing_points(in each dim) x input_dim
inducing_points = torch.rand(num_latents, inducing_points_num, input_dim)
# We have to mark the CholeskyVariationalDistribution as batch
# so that we learn a variational distribution for each task
variational_distribution = gpytorch.variational.CholeskyVariationalDistribution(
inducing_points.size(-2), batch_shape=torch.Size([num_latents])
)
# We have to wrap the VariationalStrategy in a LMCVariationalStrategy
# so that the output will be a MultitaskMultivariateNormal rather than a batch output
variational_strategy = gpytorch.variational.LMCVariationalStrategy(
gpytorch.variational.VariationalStrategy(
self, inducing_points, variational_distribution, learn_inducing_locations=True
),
num_tasks=num_tasks,
num_latents=num_latents,
latent_dim=-1
)
super().__init__(variational_strategy)
# The mean and covariance modules should be marked as batch
# so we learn a different set of hyperparameters
self.mean_module = gpytorch.means.ConstantMean(batch_shape=torch.Size([num_latents]))
# self.covar_module = gpytorch.kernels.RBFKernel(batch_shape=torch.Size([num_latents]))
self.covar_module = gpytorch.kernels.ScaleKernel(
gpytorch.kernels.RBFKernel(batch_shape=torch.Size([num_latents])),
batch_shape=torch.Size([num_latents])
)
def forward(self, x):
# The forward function should be written as if we were dealing with each output
# dimension in batch
mean_x = self.mean_module(x)
covar_x = self.covar_module(x)
return gpytorch.distributions.MultivariateNormal(mean_x, covar_x)
class IndependentMultitaskGPModel(gpytorch.models.ApproximateGP):
def __init__(self, inducing_points_num, input_dim, num_tasks=8):
# Let's use a different set of inducing points for each task
inducing_points = torch.rand(num_tasks, inducing_points_num, input_dim)
# We have to mark the CholeskyVariationalDistribution as batch
# so that we learn a variational distribution for each task
variational_distribution = gpytorch.variational.CholeskyVariationalDistribution(
inducing_points.size(-2), batch_shape=torch.Size([num_tasks])
)
variational_strategy = gpytorch.variational.IndependentMultitaskVariationalStrategy(
gpytorch.variational.VariationalStrategy(
self, inducing_points, variational_distribution, learn_inducing_locations=True
),
num_tasks=num_tasks,
)
super().__init__(variational_strategy)
# The mean and covariance modules should be marked as batch
# so we learn a different set of hyperparameters
self.mean_module = gpytorch.means.ConstantMean(batch_shape=torch.Size([num_tasks]))
self.covar_module = gpytorch.kernels.ScaleKernel(
gpytorch.kernels.RBFKernel(batch_shape=torch.Size([num_tasks])),
batch_shape=torch.Size([num_tasks])
)
def forward(self, x):
# The forward function should be written as if we were dealing with each output
# dimension in batch
mean_x = self.mean_module(x)
covar_x = self.covar_module(x)
return gpytorch.distributions.MultivariateNormal(mean_x, covar_x)
def tensor_to_array(input_data):
""" torch.tensor -> np.array
Parameters
----------
input_data : torch.Tensor
torch.Tensor data
Returns
-------
output_data : np.ndarray
input_data converted to array type
"""
output_data = input_data.to('cpu').detach().numpy().copy()
return output_data
| 42.721649 | 95 | 0.6986 | 483 | 4,144 | 5.776398 | 0.213251 | 0.065233 | 0.048387 | 0.06129 | 0.745161 | 0.726523 | 0.698566 | 0.698566 | 0.698566 | 0.692832 | 0 | 0.001563 | 0.228041 | 4,144 | 96 | 96 | 43.166667 | 0.870585 | 0.298986 | 0 | 0.423077 | 0 | 0 | 0.001055 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.096154 | false | 0 | 0.057692 | 0 | 0.25 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
598f1ae016dd603cb191e858a8a535adcf57198d | 406 | py | Python | detection/pixel_link/pylib/test/test_util_tf.py | HLIG/HUAWEI_OCR2019 | 1070d6291072e0223c2624f686766d0f3065e9c6 | [
"MIT"
] | 54 | 2019-04-17T07:55:44.000Z | 2021-06-02T06:00:04.000Z | detection/pixel_link/pylib/test/test_util_tf.py | HLIG/HUAWEI_OCR2019 | 1070d6291072e0223c2624f686766d0f3065e9c6 | [
"MIT"
] | 5 | 2019-04-24T03:22:50.000Z | 2021-08-18T13:12:38.000Z | detection/pixel_link/pylib/test/test_util_tf.py | HLIG/HUAWEI_OCR2019 | 1070d6291072e0223c2624f686766d0f3065e9c6 | [
"MIT"
] | 28 | 2019-04-17T11:30:58.000Z | 2021-12-09T13:37:02.000Z | import util
def test_is_gpu_available():
# for i in range(4):
if(util.tf.is_gpu_available()):
print "GPU is available, %s CUDA installed"%('with' if util.tf.is_gpu_available(True) else 'without');
def test_get_available_gpus():
devices = util.tf.get_available_gpus();
for d in devices:
print d
if util.mod.is_main(__name__):
test_is_gpu_available()
test_get_available_gpus()
| 27.066667 | 104 | 0.714286 | 66 | 406 | 4.045455 | 0.439394 | 0.074906 | 0.209738 | 0.134831 | 0.164794 | 0.164794 | 0 | 0 | 0 | 0 | 0 | 0.00295 | 0.165025 | 406 | 14 | 105 | 29 | 0.784661 | 0.044335 | 0 | 0 | 0 | 0 | 0.119171 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.090909 | null | null | 0.181818 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
599c23bc10129153960f647702884f5e351cae70 | 272 | py | Python | setup.py | WTFox/BenefitPoint | cd307af97ab7b4e8fc492b4e0824afcf32b65cf0 | [
"MIT"
] | 2 | 2015-04-21T20:47:08.000Z | 2015-06-24T18:40:22.000Z | setup.py | WTFox/BenefitPoint | cd307af97ab7b4e8fc492b4e0824afcf32b65cf0 | [
"MIT"
] | null | null | null | setup.py | WTFox/BenefitPoint | cd307af97ab7b4e8fc492b4e0824afcf32b65cf0 | [
"MIT"
] | null | null | null | from distutils.core import setup
setup(
name='benefitpoint',
version='0.1',
packages=['benefitpoint'],
url='',
license='',
author='anthonyfox',
author_email='anthonyfox1988@gmail.com',
description='A python wrapper for BenefitPoint API'
)
| 20.923077 | 55 | 0.665441 | 29 | 272 | 6.206897 | 0.862069 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.027273 | 0.191176 | 272 | 12 | 56 | 22.666667 | 0.790909 | 0 | 0 | 0 | 0 | 0 | 0.360294 | 0.088235 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.090909 | 0 | 0.090909 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
599d11a06e5edd515cb1953e1b7729347d30c29a | 323 | py | Python | code/events/fix_response_hand_gstroop_code.py | spinoza-rec/PIOP1 | 74f8c746de27cd5f12a3f61aa545903ead9f9d2a | [
"CC0-1.0"
] | 1 | 2020-08-23T20:21:35.000Z | 2020-08-23T20:21:35.000Z | code/events/fix_response_hand_gstroop_code.py | NILAB-UvA/PIOP1 | 74f8c746de27cd5f12a3f61aa545903ead9f9d2a | [
"CC0-1.0"
] | null | null | null | code/events/fix_response_hand_gstroop_code.py | NILAB-UvA/PIOP1 | 74f8c746de27cd5f12a3f61aa545903ead9f9d2a | [
"CC0-1.0"
] | null | null | null | import pandas as pd
from glob import glob
tsvs = sorted(glob('../../sub*/func/*task-gstroop*.tsv'))
for tsv in tsvs:
df = pd.read_csv(tsv, sep='\t')
df.loc[df['response_hand'] == 1, 'response_hand'] = 'left'
df.loc[df['response_hand'] == 2, 'response_hand'] = 'right'
df.to_csv(tsv, sep='\t', index=False)
| 32.3 | 63 | 0.625387 | 53 | 323 | 3.698113 | 0.566038 | 0.244898 | 0.091837 | 0.102041 | 0.193878 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007353 | 0.157895 | 323 | 9 | 64 | 35.888889 | 0.713235 | 0 | 0 | 0 | 0 | 0 | 0.306502 | 0.105263 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.25 | 0 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
59aaed1703bcb17421325e37709f1cb55aa98c5c | 216 | py | Python | decorator/generate_domain.py | MailG/code_py | c21a27c871c5c42625aadf45d51a0ba325095739 | [
"MIT"
] | null | null | null | decorator/generate_domain.py | MailG/code_py | c21a27c871c5c42625aadf45d51a0ba325095739 | [
"MIT"
] | null | null | null | decorator/generate_domain.py | MailG/code_py | c21a27c871c5c42625aadf45d51a0ba325095739 | [
"MIT"
] | null | null | null |
import unittest
def gen_domain_list(domain):
if len(domain) == 0:
return None
common_index = 0
common_index = domain.find('.')
print domain, common_index
def main():
gen_domain_list("www.bc.ade.da.com")
| 15.428571 | 37 | 0.708333 | 34 | 216 | 4.294118 | 0.617647 | 0.226027 | 0.178082 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.01105 | 0.162037 | 216 | 13 | 38 | 16.615385 | 0.79558 | 0 | 0 | 0 | 0 | 0 | 0.083721 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.111111 | null | null | 0.111111 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
59b2e8192eace452eac95853186123a89babe369 | 6,603 | py | Python | tests/expectdata/statements/load_capiq_cat_annual.py | nickderobertis/py-finstmt | 7903bce83b31e4425ac680020bf7d3536ed1ed11 | [
"MIT"
] | 3 | 2021-11-30T21:03:25.000Z | 2022-01-04T10:18:54.000Z | tests/expectdata/statements/load_capiq_cat_annual.py | nickderobertis/py-finstmt | 7903bce83b31e4425ac680020bf7d3536ed1ed11 | [
"MIT"
] | 23 | 2020-03-24T18:14:22.000Z | 2022-03-12T00:19:51.000Z | tests/expectdata/statements/load_capiq_cat_annual.py | whoopnip/py-finstmt | 7903bce83b31e4425ac680020bf7d3536ed1ed11 | [
"MIT"
] | 3 | 2021-05-15T11:13:08.000Z | 2021-11-30T21:03:28.000Z | import pandas as pd
LOAD_CAPIQ_CAT_A_INDEX_str = ["2014-12-31 00:00:00", "2015-12-31 00:00:00", "2016-12-31 00:00:00", "2017-12-31 00:00:00", "2018-12-31 00:00:00"]
LOAD_CAPIQ_CAT_A_INDEX = [pd.to_datetime(val) for val in LOAD_CAPIQ_CAT_A_INDEX_str]
LOAD_CAPIQ_CAT_A_INDEX_DATA_DICT = dict(
revenue=pd.Series(
[55184.0, 47011.0, 38537.0, 45462.0, 54722.0],
index=LOAD_CAPIQ_CAT_A_INDEX
),
cogs=pd.Series(
[40718.0, 33546.0, 28044.0, 31260.0, 36997.0],
index=LOAD_CAPIQ_CAT_A_INDEX
),
gross_profit=pd.Series(
[14466.0, 13465.0, 10493.0, 14202.0, 17725.0],
index=LOAD_CAPIQ_CAT_A_INDEX
),
rd_exp=pd.Series(
[2380.0, 2119.0, 1853.0, 1842.0, 1850.0],
index=LOAD_CAPIQ_CAT_A_INDEX
),
sga=pd.Series(
[5894.0, 4363.0, 4476.0, 4425.0, 4806.0],
index=LOAD_CAPIQ_CAT_A_INDEX
),
dep_exp=pd.Series(
[0.0, 0.0, 0.0, 0.0, 0.0],
index=LOAD_CAPIQ_CAT_A_INDEX
),
other_op_exp=pd.Series(
[44.0, 27.0, 78.0, 19.0, 89.0],
index=LOAD_CAPIQ_CAT_A_INDEX
),
op_exp=pd.Series(
[8318.0, 6509.0, 6407.0, 6286.0, 6745.0],
index=LOAD_CAPIQ_CAT_A_INDEX
),
ebit=pd.Series(
[3766.0, 4659.0, 1884.0, 5576.0, 8336.0],
index=LOAD_CAPIQ_CAT_A_INDEX
),
int_exp=pd.Series(
[484.0, 507.0, 503.0, 531.0, 404.0],
index=LOAD_CAPIQ_CAT_A_INDEX
),
gain_on_sale_invest=pd.Series(
[36.0, 176.0, 47.0, 187.0, -29.0],
index=LOAD_CAPIQ_CAT_A_INDEX
),
gain_on_sale_asset=pd.Series(
[0.0, 0.0, 0.0, 0.0, 0.0],
index=LOAD_CAPIQ_CAT_A_INDEX
),
impairment=pd.Series(
[0.0, 0.0, 595.0, 0.0, 0.0],
index=LOAD_CAPIQ_CAT_A_INDEX
),
ebt=pd.Series(
[3160.0, 3439.0, 133.0, 4098.0, 7846.0],
index=LOAD_CAPIQ_CAT_A_INDEX
),
tax_exp=pd.Series(
[692.0, 916.0, 192.0, 3339.0, 1698.0],
index=LOAD_CAPIQ_CAT_A_INDEX
),
net_income=pd.Series(
[2452.0, 2512.0, -67.0, 754.0, 6147.0],
index=LOAD_CAPIQ_CAT_A_INDEX
),
cash=pd.Series(
[6317.0, 5340.0, 5257.0, 7381.0, 6968.0],
index=LOAD_CAPIQ_CAT_A_INDEX
),
st_invest=pd.Series(
[0.0, 0.0, 0.0, 0.0, 0.0],
index=LOAD_CAPIQ_CAT_A_INDEX
),
cash_and_st_invest=pd.Series(
[6317.0, 5340.0, 5257.0, 7381.0, 6968.0],
index=LOAD_CAPIQ_CAT_A_INDEX
),
receivables=pd.Series(
[7699.0, 6677.0, 5919.0, 7376.0, 8714.0],
index=LOAD_CAPIQ_CAT_A_INDEX
),
inventory=pd.Series(
[12205.0, 9700.0, 8614.0, 10018.0, 11529.0],
index=LOAD_CAPIQ_CAT_A_INDEX
),
def_tax_st=pd.Series(
[1644.0, 0.0, 0.0, 0.0, 0.0],
index=LOAD_CAPIQ_CAT_A_INDEX
),
other_current_assets=pd.Series(
[27.0, 14.0, 23.0, 48.0, 19.0],
index=LOAD_CAPIQ_CAT_A_INDEX
),
total_current_assets=pd.Series(
[38867.0, 33508.0, 31967.0, 36244.0, 38603.0],
index=LOAD_CAPIQ_CAT_A_INDEX
),
gross_ppe=pd.Series(
[31572.0, 31977.0, 31940.0, 31538.0, 29781.0],
index=LOAD_CAPIQ_CAT_A_INDEX
),
dep=pd.Series(
[14995.0, 15887.0, 16618.0, 17383.0, 16207.0],
index=LOAD_CAPIQ_CAT_A_INDEX
),
net_ppe=pd.Series(
[16577.0, 16090.0, 15322.0, 14155.0, 13574.0],
index=LOAD_CAPIQ_CAT_A_INDEX
),
goodwill=pd.Series(
[6677.0, 6598.0, 6003.0, 6183.0, 6217.0],
index=LOAD_CAPIQ_CAT_A_INDEX
),
lt_invest=pd.Series(
[257.0, 246.0, 249.0, 0.0, 0.0],
index=LOAD_CAPIQ_CAT_A_INDEX
),
def_tax_lt=pd.Series(
[1267.0, 2367.0, 2683.0, 1569.0, 1363.0],
index=LOAD_CAPIQ_CAT_A_INDEX
),
other_lt_assets=pd.Series(
[528.0, 1874.0, 1529.0, 950.0, 962.0],
index=LOAD_CAPIQ_CAT_A_INDEX
),
total_non_current_assets=pd.Series(
[25306.0, 27175.0, 25786.0, 22857.0, 22116.0],
index=LOAD_CAPIQ_CAT_A_INDEX
),
total_assets=pd.Series(
[84681.0, 78342.0, 74704.0, 76962.0, 78509.0],
index=LOAD_CAPIQ_CAT_A_INDEX
),
payables=pd.Series(
[6515.0, 5023.0, 4614.0, 6487.0, 7051.0],
index=LOAD_CAPIQ_CAT_A_INDEX
),
st_debt=pd.Series(
[9.0, 9.0, 209.0, 1.0, 0.0],
index=LOAD_CAPIQ_CAT_A_INDEX
),
current_lt_debt=pd.Series(
[510.0, 517.0, 507.0, 6.0, 10.0],
index=LOAD_CAPIQ_CAT_A_INDEX
),
tax_liab_st=pd.Series(
[414.0, 0.0, 0.0, 0.0, 0.0],
index=LOAD_CAPIQ_CAT_A_INDEX
),
other_current_liab=pd.Series(
[4004.0, 2955.0, 3377.0, 3424.0, 3735.0],
index=LOAD_CAPIQ_CAT_A_INDEX
),
total_current_liab=pd.Series(
[27877.0, 26242.0, 26132.0, 26931.0, 28218.0],
index=LOAD_CAPIQ_CAT_A_INDEX
),
lt_debt=pd.Series(
[9408.0, 8883.0, 8368.0, 7492.0, 7549.0],
index=LOAD_CAPIQ_CAT_A_INDEX
),
total_debt=pd.Series(
[39293.0, 38017.0, 36784.0, 34880.0, 36593.0],
index=LOAD_CAPIQ_CAT_A_INDEX
),
deferred_rev=pd.Series(
[0.0, 0.0, 0.0, 0.0, 0.0],
index=LOAD_CAPIQ_CAT_A_INDEX
),
tax_liab_lt=pd.Series(
[414.0, 0.0, 0.0, 0.0, 0.0],
index=LOAD_CAPIQ_CAT_A_INDEX
),
deposit_liab=pd.Series(
[0.0, 0.0, 0.0, 0.0, 0.0],
index=LOAD_CAPIQ_CAT_A_INDEX
),
other_lt_liab=pd.Series(
[2817.0, 3203.0, 3184.0, 3657.0, 3319.0],
index=LOAD_CAPIQ_CAT_A_INDEX
),
total_non_current_liab=pd.Series(
[12639.0, 12086.0, 11552.0, 11149.0, 10868.0],
index=LOAD_CAPIQ_CAT_A_INDEX
),
total_liab=pd.Series(
[67855.0, 63457.0, 61491.0, 63196.0, 64429.0],
index=LOAD_CAPIQ_CAT_A_INDEX
),
common_stock=pd.Series(
[5016.0, 5238.0, 5277.0, 5593.0, 5827.0],
index=LOAD_CAPIQ_CAT_A_INDEX
),
other_income=pd.Series(
[-6431.0, -2035.0, -2039.0, -1192.0, -1684.0],
index=LOAD_CAPIQ_CAT_A_INDEX
),
retained_earnings=pd.Series(
[33887.0, 29246.0, 27377.0, 26301.0, 30427.0],
index=LOAD_CAPIQ_CAT_A_INDEX
),
minority_interest=pd.Series(
[80.0, 76.0, 76.0, 69.0, 41.0],
index=LOAD_CAPIQ_CAT_A_INDEX
),
total_equity=pd.Series(
[16826.0, 14885.0, 13213.0, 13766.0, 14080.0],
index=LOAD_CAPIQ_CAT_A_INDEX
),
total_liab_and_equity=pd.Series(
[84681.0, 78342.0, 74704.0, 76962.0, 78509.0],
index=LOAD_CAPIQ_CAT_A_INDEX
),
)
| 30.150685 | 144 | 0.5864 | 1,138 | 6,603 | 3.140598 | 0.245167 | 0.045887 | 0.058758 | 0.064913 | 0.535255 | 0.511192 | 0.496083 | 0.415501 | 0.297706 | 0.22188 | 0 | 0.260094 | 0.261093 | 6,603 | 218 | 145 | 30.288991 | 0.472433 | 0 | 0 | 0.539171 | 0 | 0 | 0.014387 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.004608 | 0 | 0.004608 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
59c49f6515b3e511d038e69f8c8d925051497af1 | 282 | py | Python | modules/dbnd/src/dbnd/_vendor/croniter/tests/base.py | ipattarapong/dbnd | 7bd65621c46c73e078eb628f994127ad4c7dbd1a | [
"Apache-2.0"
] | 224 | 2020-01-02T10:46:37.000Z | 2022-03-02T13:54:08.000Z | modules/dbnd/src/dbnd/_vendor/croniter/tests/base.py | ipattarapong/dbnd | 7bd65621c46c73e078eb628f994127ad4c7dbd1a | [
"Apache-2.0"
] | 16 | 2020-03-11T09:37:58.000Z | 2022-01-26T10:22:08.000Z | modules/dbnd/src/dbnd/_vendor/croniter/tests/base.py | ipattarapong/dbnd | 7bd65621c46c73e078eb628f994127ad4c7dbd1a | [
"Apache-2.0"
] | 24 | 2020-03-24T13:53:50.000Z | 2022-03-22T11:55:18.000Z | try:
import unittest2 as unittest
except ImportError:
import unittest
class TestCase(unittest.TestCase):
'''
We use this base class for all the tests in this package.
If necessary, we can put common utility or setup code in here.
'''
# vim:set ft=python:
| 20.142857 | 66 | 0.695035 | 41 | 282 | 4.780488 | 0.804878 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004651 | 0.237589 | 282 | 13 | 67 | 21.692308 | 0.906977 | 0.496454 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.6 | 0 | 0.8 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 2 |
59cc6a480edbd2cd4d420d7b304beec43816da98 | 292 | py | Python | ABC_A/ABC159_A.py | ryosuke0825/atcoder_python | 185cdbe7db44ecca1aaf357858d16d31ce515ddb | [
"MIT"
] | null | null | null | ABC_A/ABC159_A.py | ryosuke0825/atcoder_python | 185cdbe7db44ecca1aaf357858d16d31ce515ddb | [
"MIT"
] | null | null | null | ABC_A/ABC159_A.py | ryosuke0825/atcoder_python | 185cdbe7db44ecca1aaf357858d16d31ce515ddb | [
"MIT"
] | null | null | null | import math
n, m = map(int, input().split())
ans_n = 0
if n <= 1:
ans_n = 0
else:
ans_n = math.factorial(n)//(math.factorial(n-2)*math.factorial(2))
ans_m = 0
if m <= 1:
ans_m = 0
else:
ans_m = math.factorial(m)//(math.factorial(m-2)*math.factorial(2))
print(ans_n+ans_m)
| 16.222222 | 70 | 0.613014 | 57 | 292 | 3 | 0.280702 | 0.45614 | 0.05848 | 0.175439 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.042373 | 0.191781 | 292 | 17 | 71 | 17.176471 | 0.682203 | 0 | 0 | 0.461538 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.076923 | 0 | 0.076923 | 0.076923 | 0 | 0 | 0 | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
59cde84d62c301e6d47391eb096662b7e78686f9 | 1,270 | py | Python | cloudbaseinit/conf/base.py | andia10240/cloudbase-init | 3c290194c139990f2a0e5747aa2f6c9554d26659 | [
"Apache-2.0"
] | 160 | 2015-01-09T14:45:59.000Z | 2022-03-15T09:15:12.000Z | cloudbaseinit/conf/base.py | andia10240/cloudbase-init | 3c290194c139990f2a0e5747aa2f6c9554d26659 | [
"Apache-2.0"
] | 95 | 2015-01-25T15:22:05.000Z | 2022-03-16T10:40:27.000Z | cloudbaseinit/conf/base.py | andia10240/cloudbase-init | 3c290194c139990f2a0e5747aa2f6c9554d26659 | [
"Apache-2.0"
] | 86 | 2015-01-19T17:19:35.000Z | 2022-03-24T09:21:55.000Z | # Copyright 2016 Cloudbase Solutions Srl
#
# 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 abc
import six
@six.add_metaclass(abc.ABCMeta)
class Options(object):
"""Contact class for all the collections of config options."""
def __init__(self, config, group="DEFAULT"):
self._config = config
self._group_name = group
@property
def group_name(self):
"""The group name for the current options."""
return self._group_name
@abc.abstractmethod
def register(self):
"""Register the current options to the global ConfigOpts object."""
pass
@abc.abstractmethod
def list(self):
"""Return a list which contains all the available options."""
pass
| 29.534884 | 78 | 0.687402 | 171 | 1,270 | 5.040936 | 0.555556 | 0.069606 | 0.030162 | 0.037123 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008222 | 0.233858 | 1,270 | 42 | 79 | 30.238095 | 0.877698 | 0.633071 | 0 | 0.25 | 0 | 0 | 0.016166 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0.125 | 0.125 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
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