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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
23d42b08c80fa43859673ff12cfe8e5f590978e7 | 16 | py | Python | txriakdb/__init__.py | lunay001/txriakdb | 9e935aef32020de684dcd415bce24888bdcf9c59 | [
"Unlicense"
] | null | null | null | txriakdb/__init__.py | lunay001/txriakdb | 9e935aef32020de684dcd415bce24888bdcf9c59 | [
"Unlicense"
] | null | null | null | txriakdb/__init__.py | lunay001/txriakdb | 9e935aef32020de684dcd415bce24888bdcf9c59 | [
"Unlicense"
] | null | null | null | version = '0.0a' | 16 | 16 | 0.625 | 3 | 16 | 3.333333 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.142857 | 0.125 | 16 | 1 | 16 | 16 | 0.571429 | 0 | 0 | 0 | 0 | 0 | 0.235294 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 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 | 3 |
23ea50481b860baaf42f5965dfa067852741a124 | 1,248 | py | Python | tests/plugin/utils_test.py | ammokhov/cloudformation-cli-typescript-plugin | a70b01bda03362b8597f9f2ec4b88767390845ba | [
"MIT"
] | 15 | 2021-04-09T20:46:48.000Z | 2022-03-02T16:28:27.000Z | tests/plugin/utils_test.py | ammokhov/cloudformation-cli-typescript-plugin | a70b01bda03362b8597f9f2ec4b88767390845ba | [
"MIT"
] | 36 | 2020-04-14T19:18:46.000Z | 2021-01-24T00:12:38.000Z | tests/plugin/utils_test.py | ammokhov/cloudformation-cli-typescript-plugin | a70b01bda03362b8597f9f2ec4b88767390845ba | [
"MIT"
] | 4 | 2020-08-28T20:03:37.000Z | 2020-12-07T20:50:25.000Z | # fixture and parameter have the same name
# pylint: disable=redefined-outer-name
import pytest
from rpdk.core.exceptions import WizardValidationError
from rpdk.typescript.utils import (
safe_reserved,
validate_codegen_model as validate_codegen_model_factory,
)
DEFAULT = object()
@pytest.fixture
def validate... | 27.130435 | 74 | 0.794872 | 158 | 1,248 | 5.860759 | 0.329114 | 0.259179 | 0.345572 | 0.095032 | 0.406048 | 0.220302 | 0.149028 | 0 | 0 | 0 | 0 | 0.006381 | 0.120994 | 1,248 | 45 | 75 | 27.733333 | 0.837739 | 0.061699 | 0 | 0 | 0 | 0 | 0.048801 | 0 | 0 | 0 | 0 | 0 | 0.269231 | 1 | 0.307692 | false | 0 | 0.115385 | 0.038462 | 0.461538 | 0 | 0 | 0 | 0 | null | 1 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
9b02d11e9eca4c6b9c31524c4204da198e34c356 | 381 | py | Python | nautilus/auth/util/read_session_token.py | AlecAivazis/python | 70e2acef27a2f87355590be1a6ca60ce3ab4d09c | [
"MIT"
] | 9 | 2019-02-17T01:33:43.000Z | 2022-02-03T02:14:12.000Z | nautilus/auth/util/read_session_token.py | AlecAivazis/python | 70e2acef27a2f87355590be1a6ca60ce3ab4d09c | [
"MIT"
] | 59 | 2016-03-14T15:55:50.000Z | 2016-07-17T15:22:56.000Z | nautilus/auth/util/read_session_token.py | AlecAivazis/python | 70e2acef27a2f87355590be1a6ca60ce3ab4d09c | [
"MIT"
] | 3 | 2017-08-03T20:18:59.000Z | 2018-07-18T02:03:41.000Z | # external imports
import jwt
# local imports
from .token_encryption_algorithm import token_encryption_algorithm
def read_session_token(secret_key, token):
"""
This function verifies the token using the secret key and returns its
contents.
"""
return jwt.decode(token.encode('utf-8'), secret... | 29.307692 | 77 | 0.724409 | 47 | 381 | 5.659574 | 0.617021 | 0.169173 | 0.270677 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003268 | 0.19685 | 381 | 13 | 78 | 29.307692 | 0.866013 | 0.291339 | 0 | 0 | 0 | 0 | 0.020661 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.333333 | 0 | 0.666667 | 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 | 1 | 0 | 1 | 0 | 0 | 3 |
9b142e375fe133f5a07d7ea33ed54addf35a8beb | 56 | py | Python | trive/apps/claim/__init__.py | trivenews/central | 932d20dc21b133d93c65e7fb8e857e908e98f2fb | [
"BSD-3-Clause"
] | null | null | null | trive/apps/claim/__init__.py | trivenews/central | 932d20dc21b133d93c65e7fb8e857e908e98f2fb | [
"BSD-3-Clause"
] | null | null | null | trive/apps/claim/__init__.py | trivenews/central | 932d20dc21b133d93c65e7fb8e857e908e98f2fb | [
"BSD-3-Clause"
] | null | null | null | default_app_config = 'trive.apps.claim.app.ClaimConfig'
| 28 | 55 | 0.821429 | 8 | 56 | 5.5 | 0.875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.053571 | 56 | 1 | 56 | 56 | 0.830189 | 0 | 0 | 0 | 0 | 0 | 0.571429 | 0.571429 | 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 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
f197108710c037695437d36c30050cbe1c0312b8 | 86,151 | py | Python | pysnmp_mibs/RFC1382-MIB.py | jackjack821/pysnmp-mibs | 9835ea0bb2420715caf4ee9aaa07d59bb263acd6 | [
"BSD-2-Clause"
] | 6 | 2017-04-21T13:48:08.000Z | 2022-01-06T19:42:52.000Z | pysnmp_mibs/RFC1382-MIB.py | jackjack821/pysnmp-mibs | 9835ea0bb2420715caf4ee9aaa07d59bb263acd6 | [
"BSD-2-Clause"
] | 1 | 2020-05-05T16:42:25.000Z | 2020-05-05T16:42:25.000Z | pysnmp_mibs/RFC1382-MIB.py | jackjack821/pysnmp-mibs | 9835ea0bb2420715caf4ee9aaa07d59bb263acd6 | [
"BSD-2-Clause"
] | 6 | 2020-02-08T20:28:49.000Z | 2021-09-14T13:36:46.000Z | #
# PySNMP MIB module RFC1382-MIB (http://pysnmp.sf.net)
# ASN.1 source http://mibs.snmplabs.com:80/asn1/RFC1382-MIB
# Produced by pysmi-0.0.7 at Sun Feb 14 00:26:33 2016
# On host bldfarm platform Linux version 4.1.13-100.fc21.x86_64 by user goose
# Using Python version 3.5.0 (default, Jan 5 2016, 17:11:52)
#
( Octe... | 244.053824 | 7,726 | 0.659447 | 9,617 | 86,151 | 5.907352 | 0.091505 | 0.0069 | 0.01204 | 0.01197 | 0.492352 | 0.449209 | 0.380613 | 0.352784 | 0.314957 | 0.297566 | 0 | 0.074673 | 0.248889 | 86,151 | 352 | 7,727 | 244.747159 | 0.803273 | 0.003459 | 0 | 0 | 0 | 0.232558 | 0.50911 | 0.003669 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.002907 | 0.026163 | 0 | 0.031977 | 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 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
f1a788db703822e8a003481685a9663aca484c11 | 719 | py | Python | singleton.py | chengboliber/designpattern | ee8ac04610b9e9df358a40aac0f6dce2271a6696 | [
"Apache-2.0"
] | null | null | null | singleton.py | chengboliber/designpattern | ee8ac04610b9e9df358a40aac0f6dce2271a6696 | [
"Apache-2.0"
] | null | null | null | singleton.py | chengboliber/designpattern | ee8ac04610b9e9df358a40aac0f6dce2271a6696 | [
"Apache-2.0"
] | null | null | null | # -*- coding:utf-8 -*-
def decorator_singleton(cls):
"""
装饰器实现方式
:param cls:
:return:
"""
instances = {}
def _singleton(*args, **kwargs):
if cls not in instances:
instances[cls] = cls(*args, **kwargs)
return _singleton
class NewSingleton(object):
"""
需要单... | 17.975 | 82 | 0.578581 | 71 | 719 | 5.605634 | 0.478873 | 0.125628 | 0.09799 | 0.095477 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001927 | 0.278164 | 719 | 39 | 83 | 18.435897 | 0.764933 | 0.16968 | 0 | 0 | 0 | 0 | 0.016698 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.266667 | false | 0.066667 | 0 | 0 | 0.533333 | 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 | 1 | 0 | 0 | 3 |
f1b913ea0bf3f2cebeb405217275cf2794f5560b | 418 | py | Python | DESAFIO-014.py | Lukones/Evolution-Projetos-Python | d979f3702f0e22ab5256b19fd957dba587c44f85 | [
"MIT"
] | null | null | null | DESAFIO-014.py | Lukones/Evolution-Projetos-Python | d979f3702f0e22ab5256b19fd957dba587c44f85 | [
"MIT"
] | null | null | null | DESAFIO-014.py | Lukones/Evolution-Projetos-Python | d979f3702f0e22ab5256b19fd957dba587c44f85 | [
"MIT"
] | null | null | null | # Um programa que realiza um sorteio de um nº limitado de alunos #
from random import choice
a = input('Digite os nomes dos alunos que vão ser sorteados: ')
b = input('Digite os nomes dos alunos que vão ser sorteados: ')
c = input('Digite os nomes dos alunos que vão ser sorteados: ')
d = input('Digite os nomes dos alu... | 38 | 66 | 0.712919 | 73 | 418 | 4.082192 | 0.438356 | 0.147651 | 0.174497 | 0.241611 | 0.604027 | 0.604027 | 0.604027 | 0.604027 | 0.604027 | 0.604027 | 0 | 0 | 0.188995 | 418 | 10 | 67 | 41.8 | 0.879056 | 0.148325 | 0 | 0 | 0 | 0 | 0.669516 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.142857 | 0 | 0.142857 | 0.142857 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
f1bc45c78d44aa0709939701954a0d125d857f08 | 659 | py | Python | kentik_synth_client/api_transport_grpc.py | ccousinsgithub/synth_tools | ff0bc572eaa5570f08fd633b140b1e04997c6833 | [
"Apache-2.0"
] | null | null | null | kentik_synth_client/api_transport_grpc.py | ccousinsgithub/synth_tools | ff0bc572eaa5570f08fd633b140b1e04997c6833 | [
"Apache-2.0"
] | null | null | null | kentik_synth_client/api_transport_grpc.py | ccousinsgithub/synth_tools | ff0bc572eaa5570f08fd633b140b1e04997c6833 | [
"Apache-2.0"
] | null | null | null | import logging
import sys
from typing import Any, Dict, Optional, Tuple
from .api_transport import KentikAPIRequestError, KentikAPITransport
sys.path.append("../generated")
# import generated.kentik.synthetics.v202101beta1.synthetics_pb2
# from generated.kentik.synthetics.v202101beta1.synthetics_pb2_grpc import Synt... | 31.380952 | 120 | 0.77997 | 73 | 659 | 6.90411 | 0.575342 | 0.047619 | 0.099206 | 0.146825 | 0.198413 | 0.198413 | 0 | 0 | 0 | 0 | 0 | 0.02773 | 0.124431 | 659 | 20 | 121 | 32.95 | 0.845754 | 0.274659 | 0 | 0 | 1 | 0 | 0.132632 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.181818 | false | 0 | 0.363636 | 0.090909 | 0.727273 | 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 | 1 | 0 | 1 | 0 | 0 | 3 |
f1c2cd0e4eb0eb2d72229ef0e5f9d8666ae995c6 | 734 | py | Python | scripts/benchmark/tools/rand.py | nishanttotla/cpachecker-crowdprover | d5d1b8c266a40f13a226f46577ca23744c0c4420 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | scripts/benchmark/tools/rand.py | nishanttotla/cpachecker-crowdprover | d5d1b8c266a40f13a226f46577ca23744c0c4420 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | scripts/benchmark/tools/rand.py | nishanttotla/cpachecker-crowdprover | d5d1b8c266a40f13a226f46577ca23744c0c4420 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | from random import random
import benchmark.tools.template
import benchmark.result as result
class Tool(benchmark.tools.template.BaseTool):
"""
This tool is an imaginary tool that randomly returns SAFE and UNSAFE.
To use it you need a normal benchmark-xml-file
with the tool and sourcefiles, however opti... | 33.363636 | 87 | 0.722071 | 93 | 734 | 5.655914 | 0.655914 | 0.045627 | 0.08365 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003413 | 0.201635 | 734 | 22 | 87 | 33.363636 | 0.894198 | 0.239782 | 0 | 0 | 0 | 0 | 0.028037 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0.25 | 0.333333 | 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 | 1 | 0 | 0 | 3 |
f1e9a5199ac993fe7ffc42ea5a62c7d3e2ed8ff1 | 71 | py | Python | lichessbot/lichessbotpoetry/bot/__init__.py | pythonideas/poetry | e3139c13d936952a211dc7a932a0c15312dffedb | [
"MIT"
] | null | null | null | lichessbot/lichessbotpoetry/bot/__init__.py | pythonideas/poetry | e3139c13d936952a211dc7a932a0c15312dffedb | [
"MIT"
] | null | null | null | lichessbot/lichessbotpoetry/bot/__init__.py | pythonideas/poetry | e3139c13d936952a211dc7a932a0c15312dffedb | [
"MIT"
] | null | null | null | import chess
def demo():
board = chess.Board()
print(board)
| 8.875 | 25 | 0.605634 | 9 | 71 | 4.777778 | 0.666667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.267606 | 71 | 7 | 26 | 10.142857 | 0.826923 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0.25 | 0 | 0.5 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
f1fc57e12f05ced93030ce800608dd100c341237 | 619 | py | Python | multidimensional_optimization/stochastic/boltzmann_method.py | avdosev/optimization_methods | fc65a983b6a925a6b2a3285ed87a277f03db2bba | [
"MIT"
] | 13 | 2019-10-17T07:46:38.000Z | 2022-03-14T20:11:03.000Z | multidimensional_optimization/stochastic/boltzmann_method.py | avdosev/optimization_methods | fc65a983b6a925a6b2a3285ed87a277f03db2bba | [
"MIT"
] | null | null | null | multidimensional_optimization/stochastic/boltzmann_method.py | avdosev/optimization_methods | fc65a983b6a925a6b2a3285ed87a277f03db2bba | [
"MIT"
] | 9 | 2019-10-04T09:12:31.000Z | 2021-12-07T17:03:50.000Z | import random
import math
import numpy as np
from scipy.stats import cauchy
from stochastic.simulated_annealing import simulated_annealing
def boltzmann_method(x0, t0, function, N=2500):
"""
алгоритм имитации отжига
метод Больцмана
"""
annealing = lambda k: t0 / math.log(1. + k)
# passage = lam... | 38.6875 | 83 | 0.688207 | 96 | 619 | 4.270833 | 0.4375 | 0.039024 | 0.068293 | 0.082927 | 0.15122 | 0.107317 | 0.107317 | 0 | 0 | 0 | 0 | 0.024048 | 0.193861 | 619 | 16 | 84 | 38.6875 | 0.797595 | 0.189015 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0.2 | 0.5 | 0 | 0.7 | 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 | 1 | 0 | 1 | 0 | 0 | 3 |
7b00a03f4a4d9e67b9cebb438b4946690e01983d | 371 | py | Python | tests/optimizers_test/test_sine_cosine_algorithm.py | pfnet-research/batch-metaheuristics | 202372a4ef4439cceb71e71092487c9173fd367c | [
"MIT"
] | 7 | 2021-01-22T05:00:18.000Z | 2022-02-26T12:41:07.000Z | tests/optimizers_test/test_sine_cosine_algorithm.py | pfnet-research/batch-metaheuristics | 202372a4ef4439cceb71e71092487c9173fd367c | [
"MIT"
] | null | null | null | tests/optimizers_test/test_sine_cosine_algorithm.py | pfnet-research/batch-metaheuristics | 202372a4ef4439cceb71e71092487c9173fd367c | [
"MIT"
] | null | null | null | from batchopt.optimizers.sine_cosine_algorithm import SineCosineAlgorithm
def test_sca_init(optimizer_init_test_func):
optimizer_init_test_func(SineCosineAlgorithm)
def test_sca_ask(optimizer_ask_test_func):
optimizer_ask_test_func(SineCosineAlgorithm)
def test_sca_train(optimizer_optimize_test_func):
... | 26.5 | 73 | 0.87062 | 47 | 371 | 6.319149 | 0.361702 | 0.161616 | 0.262626 | 0.292929 | 0.249158 | 0.249158 | 0 | 0 | 0 | 0 | 0 | 0 | 0.083558 | 371 | 13 | 74 | 28.538462 | 0.873529 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.428571 | false | 0 | 0.142857 | 0 | 0.571429 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
7b00e9acf752bc5cd0301a05ebc3cf5d1acb7021 | 219 | py | Python | run.py | DEMG-DEV/ReceipesAPP | 0362f2c52113b0e45e061a2ccd83433067ecf274 | [
"MIT"
] | null | null | null | run.py | DEMG-DEV/ReceipesAPP | 0362f2c52113b0e45e061a2ccd83433067ecf274 | [
"MIT"
] | null | null | null | run.py | DEMG-DEV/ReceipesAPP | 0362f2c52113b0e45e061a2ccd83433067ecf274 | [
"MIT"
] | null | null | null | # run.py
# Add your settings here... this is a temporary location, as the settings for a Flask app
# should be stored separate from your main program.
from project import app
if __name__ == "__main__":
app.run()
| 21.9 | 89 | 0.721461 | 35 | 219 | 4.285714 | 0.771429 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.200913 | 219 | 9 | 90 | 24.333333 | 0.857143 | 0.657534 | 0 | 0 | 0 | 0 | 0.112676 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.333333 | 0 | 0.333333 | 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 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
7b0f59f24a675c8aac91ed5aaf9d1a82c174b575 | 611 | py | Python | 3. Distributed Deep Learning with TensorFlow and Google ML Engine/8 creating your machine learning api/batch_data_dict.py | dyadxmachina/Distributed-Deep-Learning-with-Tensorflow | b54e1e4a743969b3c7f890fffa3efd95a295e0f9 | [
"MIT"
] | 158 | 2018-08-01T13:31:36.000Z | 2022-02-24T05:30:06.000Z | 3. Distributed Deep Learning with TensorFlow and Google ML Engine/8 creating your machine learning api/batch_data_dict.py | dyadxmachina/Distributed-Deep-Learning-with-Tensorflow | b54e1e4a743969b3c7f890fffa3efd95a295e0f9 | [
"MIT"
] | 3 | 2018-08-23T15:38:03.000Z | 2019-03-10T16:26:31.000Z | 3. Distributed Deep Learning with TensorFlow and Google ML Engine/8 creating your machine learning api/batch_data_dict.py | dyadxmachina/Distributed-Deep-Learning-with-Tensorflow | b54e1e4a743969b3c7f890fffa3efd95a295e0f9 | [
"MIT"
] | 49 | 2018-07-30T07:06:58.000Z | 2020-11-26T05:31:31.000Z |
requestDict = {
'instances':
[
{
"Lat": 37.4434774, "Long": -122.1652269,
"Altitude": 21.0, "Date_": "7/4/17",
"Time_": "23:37:25", "dt_": "7/4/17 23:37"
#driving meet conjestion
}... | 33.944444 | 66 | 0.319149 | 54 | 611 | 3.5 | 0.481481 | 0.042328 | 0.084656 | 0.074074 | 0.243386 | 0.243386 | 0 | 0 | 0 | 0 | 0 | 0.265517 | 0.525368 | 611 | 18 | 67 | 33.944444 | 0.386207 | 0.075286 | 0 | 0 | 0 | 0 | 0.207815 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 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 | 3 |
9e558c9761b4a248d1fe562e1fa097df0536d655 | 120 | py | Python | errors.py | botteon/ClusterPyXT | b13a96731f6606ab545dbcb7574c385cf198775d | [
"BSD-3-Clause"
] | 25 | 2019-02-05T20:06:45.000Z | 2022-03-01T12:59:39.000Z | errors.py | botteon/ClusterPyXT | b13a96731f6606ab545dbcb7574c385cf198775d | [
"BSD-3-Clause"
] | 25 | 2019-02-27T18:37:13.000Z | 2022-03-23T17:34:30.000Z | errors.py | botteon/ClusterPyXT | b13a96731f6606ab545dbcb7574c385cf198775d | [
"BSD-3-Clause"
] | 6 | 2019-02-05T20:06:33.000Z | 2021-12-15T02:29:48.000Z | from enum import IntEnum
class ClusterPyError(IntEnum):
ciao_not_running = -1
sources_or_exclude_not_found = 1
| 20 | 36 | 0.775 | 17 | 120 | 5.117647 | 0.823529 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.020202 | 0.175 | 120 | 5 | 37 | 24 | 0.858586 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
9e802f335c225268e13160883db8950609e37826 | 118 | py | Python | minique/compat.py | valohai/minique | 644c0653577a6640f38ea1ea1802b5983fcbdeb5 | [
"MIT"
] | 7 | 2017-05-30T05:44:12.000Z | 2021-11-17T03:20:44.000Z | minique/compat.py | valohai/minique | 644c0653577a6640f38ea1ea1802b5983fcbdeb5 | [
"MIT"
] | 18 | 2017-05-29T17:59:00.000Z | 2021-11-25T14:02:29.000Z | minique/compat.py | valohai/minique | 644c0653577a6640f38ea1ea1802b5983fcbdeb5 | [
"MIT"
] | null | null | null | try:
import sentry_sdk
except ImportError:
sentry_sdk = None # type: ignore
__all__ = [
"sentry_sdk",
]
| 13.111111 | 37 | 0.652542 | 14 | 118 | 5 | 0.714286 | 0.385714 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.254237 | 118 | 8 | 38 | 14.75 | 0.795455 | 0.101695 | 0 | 0 | 0 | 0 | 0.096154 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.285714 | 0 | 0.285714 | 0 | 1 | 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 | 3 |
9e9ebdfa2cae07913caba6e3a41510a574f479b2 | 112 | py | Python | test.py | 619561504/python-study | 735079a3715f9ff80de186e707a78bc201247e40 | [
"Apache-2.0"
] | null | null | null | test.py | 619561504/python-study | 735079a3715f9ff80de186e707a78bc201247e40 | [
"Apache-2.0"
] | null | null | null | test.py | 619561504/python-study | 735079a3715f9ff80de186e707a78bc201247e40 | [
"Apache-2.0"
] | null | null | null | from __future__ import division, print_function, unicode_literals
print('hello world')
f = open("ff")
f.read() | 18.666667 | 65 | 0.758929 | 16 | 112 | 4.9375 | 0.875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.116071 | 112 | 6 | 66 | 18.666667 | 0.79798 | 0 | 0 | 0 | 0 | 0 | 0.115044 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.25 | 0.5 | 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 | 1 | 0 | 3 |
9eb8850fb00705520bd38c75006fb483886a3074 | 3,568 | py | Python | bookshop/books/migrations/0007_auto_20161129_0732.py | jackklpan/eshop | b81050868547afb287b429c09b85699e940a78f6 | [
"MIT"
] | 39 | 2016-11-29T11:34:38.000Z | 2021-01-04T05:49:20.000Z | bookshop/books/migrations/0007_auto_20161129_0732.py | jackklpan/eshop | b81050868547afb287b429c09b85699e940a78f6 | [
"MIT"
] | 3 | 2016-12-27T09:12:25.000Z | 2017-02-17T02:29:51.000Z | bookshop/books/migrations/0007_auto_20161129_0732.py | jackklpan/eshop | b81050868547afb287b429c09b85699e940a78f6 | [
"MIT"
] | 23 | 2016-11-29T11:35:22.000Z | 2020-02-04T09:22:23.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.10.3 on 2016-11-29 07:32
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('books', '0006_auto_20161129_0636'),
]
operations =... | 34.980392 | 144 | 0.563621 | 347 | 3,568 | 5.636888 | 0.282421 | 0.173824 | 0.21728 | 0.252045 | 0.577198 | 0.545501 | 0.263804 | 0.244888 | 0.142638 | 0.142638 | 0 | 0.024439 | 0.300448 | 3,568 | 101 | 145 | 35.326733 | 0.759215 | 0.019058 | 0 | 0.553191 | 1 | 0 | 0.085788 | 0.006577 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.031915 | 0 | 0.06383 | 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 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
9eb88d0ee439a0fa1db70f9193a067f9c295fc44 | 126 | py | Python | aula12/programa01.py | NicoCassio/cursoemvideo-python | 2686ff74f4d45bdb0dc194f49f4dd19aae629d52 | [
"MIT"
] | null | null | null | aula12/programa01.py | NicoCassio/cursoemvideo-python | 2686ff74f4d45bdb0dc194f49f4dd19aae629d52 | [
"MIT"
] | null | null | null | aula12/programa01.py | NicoCassio/cursoemvideo-python | 2686ff74f4d45bdb0dc194f49f4dd19aae629d52 | [
"MIT"
] | null | null | null | n = str(input('Nome: '))
if n == 'Nicolas':
print('TOP')
elif n == 'Claudia':
print('Eca...')
else:
print('Olá!')
| 15.75 | 24 | 0.5 | 17 | 126 | 3.705882 | 0.764706 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.222222 | 126 | 7 | 25 | 18 | 0.642857 | 0 | 0 | 0 | 0 | 0 | 0.261905 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.428571 | 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 | 1 | 0 | 3 |
9ebe715420430ada254377e63c339851fde47fe3 | 426 | py | Python | .github/scripts/cleanup-lightbulbPM.py | krafczyk/training-space-ids | 03bbd077a1416492eae3568c171c43ade041e5b4 | [
"MIT"
] | 2 | 2021-09-22T20:55:12.000Z | 2021-10-04T20:39:30.000Z | .github/scripts/cleanup-lightbulbPM.py | krafczyk/training-space-ids | 03bbd077a1416492eae3568c171c43ade041e5b4 | [
"MIT"
] | 65 | 2021-08-09T20:34:07.000Z | 2022-03-30T17:25:25.000Z | .github/scripts/cleanup-lightbulbPM.py | krafczyk/training-space-ids | 03bbd077a1416492eae3568c171c43ade041e5b4 | [
"MIT"
] | 1 | 2021-11-12T19:45:13.000Z | 2021-11-12T19:45:13.000Z | import os
from c3python import get_c3
def c3():
"""Loads c3 type system from a tag.
Requires the following environment variables:
URL:
TAG:
TENANT:
Returns:
c3 object: c3 type system
"""
return get_c3(url=os.environ.get("URL"), tenant=os.environ.get("TENANT"), t... | 20.285714 | 104 | 0.603286 | 57 | 426 | 4.333333 | 0.508772 | 0.109312 | 0.145749 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.022364 | 0.265258 | 426 | 20 | 105 | 21.3 | 0.766773 | 0.347418 | 0 | 0 | 0 | 0 | 0.133891 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | true | 0 | 0.25 | 0 | 0.625 | 0.125 | 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 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
7b536195d3573c2cb5281613184ff59b090f261a | 113 | py | Python | scripts/reheader_bcf.py | jodyphelan/pathogenseq | 2e04190f25063d722ef653e819b94eb66407ea8d | [
"MIT"
] | null | null | null | scripts/reheader_bcf.py | jodyphelan/pathogenseq | 2e04190f25063d722ef653e819b94eb66407ea8d | [
"MIT"
] | null | null | null | scripts/reheader_bcf.py | jodyphelan/pathogenseq | 2e04190f25063d722ef653e819b94eb66407ea8d | [
"MIT"
] | 1 | 2018-05-11T14:54:51.000Z | 2018-05-11T14:54:51.000Z | #! /usr/bin/env python
import pathogenseq as ps
import sys
bcf = ps.bcf(sys.argv[1])
bcf.reheader(sys.argv[2])
| 14.125 | 25 | 0.707965 | 21 | 113 | 3.809524 | 0.666667 | 0.175 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.020408 | 0.132743 | 113 | 7 | 26 | 16.142857 | 0.795918 | 0.185841 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.5 | 0 | 0.5 | 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 | 1 | 0 | 0 | 0 | 0 | 3 |
7b5d24bca3cdb15417740f8e221eb86c22fe9858 | 99 | py | Python | ex48_convert.py | EiPoPoAung/python_exercises | e7c7b67e0409f6680ea7f580e3d1b21d6f96248d | [
"MIT"
] | null | null | null | ex48_convert.py | EiPoPoAung/python_exercises | e7c7b67e0409f6680ea7f580e3d1b21d6f96248d | [
"MIT"
] | null | null | null | ex48_convert.py | EiPoPoAung/python_exercises | e7c7b67e0409f6680ea7f580e3d1b21d6f96248d | [
"MIT"
] | null | null | null | def convert_number(s):
try:
return init(s)
expect ValueError:
return None
| 14.142857 | 22 | 0.585859 | 12 | 99 | 4.75 | 0.833333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.343434 | 99 | 6 | 23 | 16.5 | 0.876923 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0 | null | null | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
7b6be73f946a8c6ac8404dca4d2872a04f2f4205 | 162 | py | Python | src/StudentRegister/apps.py | steve-njuguna-k/Django-CRUD-Operations-Using-PostgreSQL | 6649bbf5a2dc4af27d8aca884652ada699d660e8 | [
"MIT"
] | null | null | null | src/StudentRegister/apps.py | steve-njuguna-k/Django-CRUD-Operations-Using-PostgreSQL | 6649bbf5a2dc4af27d8aca884652ada699d660e8 | [
"MIT"
] | null | null | null | src/StudentRegister/apps.py | steve-njuguna-k/Django-CRUD-Operations-Using-PostgreSQL | 6649bbf5a2dc4af27d8aca884652ada699d660e8 | [
"MIT"
] | null | null | null | from django.apps import AppConfig
class StudentregisterConfig(AppConfig):
default_auto_field = 'django.db.models.BigAutoField'
name = 'StudentRegister'
| 23.142857 | 56 | 0.783951 | 17 | 162 | 7.352941 | 0.882353 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.135802 | 162 | 6 | 57 | 27 | 0.892857 | 0 | 0 | 0 | 0 | 0 | 0.271605 | 0.179012 | 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 | 1 | 0 | 0 | 3 |
7b7a853d1cee092ddc2ba08652d39e79e74a0fed | 790 | py | Python | rfdmovie/db.py | Microndgt/rfdmovies | befba9ac7667d8234976b7fda7fa800beb5f05c7 | [
"MIT"
] | 18 | 2018-02-12T04:11:17.000Z | 2019-10-10T01:44:31.000Z | rfdmovie/db.py | Microndgt/rfdmovies | befba9ac7667d8234976b7fda7fa800beb5f05c7 | [
"MIT"
] | 1 | 2021-06-01T21:46:26.000Z | 2021-06-01T21:46:26.000Z | rfdmovie/db.py | tangzhoutz/rfdmovies-client | befba9ac7667d8234976b7fda7fa800beb5f05c7 | [
"MIT"
] | null | null | null | from sqlalchemy import create_engine
from sqlalchemy.engine.url import URL
from sqlalchemy.orm import sessionmaker
from sqlalchemy.ext.declarative import declarative_base
from rfdmovie.config import get_config
dsn_url = URL(drivername='postgresql', host=get_config("rfdmovie.postgresql.host"),
port=get_c... | 41.578947 | 83 | 0.758228 | 94 | 790 | 6.212766 | 0.351064 | 0.107877 | 0.174658 | 0.231164 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.139241 | 790 | 18 | 84 | 43.888889 | 0.858824 | 0.072152 | 0 | 0 | 0 | 0 | 0.220548 | 0.206849 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.071429 | 0.357143 | 0 | 0.357143 | 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 | 1 | 1 | 0 | 0 | 0 | 0 | 3 |
7b88cbc6a0027450351c9aff16f25e2acf438bfa | 119 | py | Python | infracheck/__init__.py | riotkit-org/infracheck | e328e9ad722e6e2906aca378270099017198f602 | [
"Apache-2.0"
] | 10 | 2019-08-16T23:08:43.000Z | 2021-05-05T06:26:04.000Z | infracheck/__init__.py | riotkit-org/infracheck | e328e9ad722e6e2906aca378270099017198f602 | [
"Apache-2.0"
] | 39 | 2019-04-13T10:00:21.000Z | 2021-11-24T15:02:05.000Z | infracheck/__init__.py | zwiazeksyndykalistowpolski/infracheck | e328e9ad722e6e2906aca378270099017198f602 | [
"Apache-2.0"
] | 1 | 2019-05-09T15:31:49.000Z | 2019-05-09T15:31:49.000Z | # -*- coding: utf-8 -*-
__author__ = 'RiotKit'
__email__ = 'riotkit_org@riseup.net'
from .infracheck.bin import main
| 17 | 36 | 0.697479 | 15 | 119 | 4.933333 | 0.933333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009804 | 0.142857 | 119 | 6 | 37 | 19.833333 | 0.715686 | 0.176471 | 0 | 0 | 0 | 0 | 0.302083 | 0.229167 | 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 | 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 | 3 |
7b8c64e6f7faf78c519500f27daa1f446684db4f | 368 | py | Python | src/models/__init__.py | O151/bysj | 9c0c63202c83c47470dd65822bc22b973ae69176 | [
"MIT"
] | null | null | null | src/models/__init__.py | O151/bysj | 9c0c63202c83c47470dd65822bc22b973ae69176 | [
"MIT"
] | null | null | null | src/models/__init__.py | O151/bysj | 9c0c63202c83c47470dd65822bc22b973ae69176 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Tue Dec 11 11:25:52 2018
@author: Ljx
"""
from .AutoEncoder import AutoEncoder
from .Seq2Seq import Seq2Seq
from .Recurrent import Recurrent
from .multiF import multiF
from .VAR import VAR
from .TCN import TCN
from .Wavelet_ATT import Wavelet_ATT
from .RecurrentN import Recurre... | 17.52381 | 40 | 0.766304 | 52 | 368 | 5.384615 | 0.480769 | 0.071429 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.048387 | 0.157609 | 368 | 20 | 41 | 18.4 | 0.854839 | 0.195652 | 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 | 1 | 0 | 0 | 3 |
7b9583dee55cff4a4de9f7360e6fc2e29677fb0f | 1,540 | py | Python | sentiment/spotify/connector.py | dachrisch/spotify_sentiment_classifier | 3365d49b3f63e0140b916e05cade7c04c6ee3094 | [
"Unlicense"
] | 1 | 2020-05-12T21:38:57.000Z | 2020-05-12T21:38:57.000Z | sentiment/spotify/connector.py | dachrisch/spotify_sentiment_classifier | 3365d49b3f63e0140b916e05cade7c04c6ee3094 | [
"Unlicense"
] | 1 | 2020-05-12T19:51:21.000Z | 2020-05-12T19:51:21.000Z | sentiment/spotify/connector.py | dachrisch/spotify_sentiment_classifier | 3365d49b3f63e0140b916e05cade7c04c6ee3094 | [
"Unlicense"
] | null | null | null | from functools import lru_cache
import spotipy
class SpotipyConnectionWrapper(object):
@classmethod
@lru_cache(128)
def from_token(cls, access_token):
return cls(spotipy.Spotify(auth=access_token))
def __init__(self, to_wrap: spotipy.Spotify):
self.__connection = to_wrap
@lru_c... | 31.428571 | 109 | 0.71039 | 194 | 1,540 | 5.262887 | 0.257732 | 0.070519 | 0.08619 | 0.109696 | 0.41332 | 0.382958 | 0.074437 | 0 | 0 | 0 | 0 | 0.024292 | 0.198052 | 1,540 | 48 | 110 | 32.083333 | 0.802429 | 0 | 0 | 0.333333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0.055556 | 0.166667 | 0.555556 | 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 | 1 | 0 | 0 | 3 |
7ba80d5f31d5261c009426afbeca521c41e683a6 | 13,309 | py | Python | tests/test_sqlparsing.py | junqueira/djongo | a16d92bc46c4d67d43a60094abac150c470d7b0d | [
"BSD-3-Clause"
] | null | null | null | tests/test_sqlparsing.py | junqueira/djongo | a16d92bc46c4d67d43a60094abac150c470d7b0d | [
"BSD-3-Clause"
] | null | null | null | tests/test_sqlparsing.py | junqueira/djongo | a16d92bc46c4d67d43a60094abac150c470d7b0d | [
"BSD-3-Clause"
] | 1 | 2019-12-31T16:52:22.000Z | 2019-12-31T16:52:22.000Z | from unittest import TestCase, mock
from logging import getLogger, DEBUG, StreamHandler
from pymongo import MongoClient
from djongo.sql2mongo import Parse
sql = [
'UPDATE "auth_user" SET "password" = %s, "last_login" = NULL, "is_superuser" = %s, "username" = %s, "first_name" = %s, "last_name" = %s, "email" = %s, ... | 35.585561 | 942 | 0.487715 | 1,415 | 13,309 | 4.279152 | 0.10106 | 0.085384 | 0.098266 | 0.034352 | 0.796862 | 0.772089 | 0.739554 | 0.698596 | 0.678778 | 0.671511 | 0 | 0.013665 | 0.356676 | 13,309 | 374 | 943 | 35.585562 | 0.69353 | 0.002855 | 0 | 0.438066 | 0 | 0.039275 | 0.430369 | 0.171213 | 0 | 0 | 0 | 0.002674 | 0.048338 | 1 | 0.009063 | false | 0.012085 | 0.012085 | 0 | 0.024169 | 0.003021 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 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 | 3 |
7bb45017fcb5e8bbcc78a244559d6370f2680dcf | 880 | py | Python | redisun/models/setmodel.py | limen/pyredisun | 11b9590968a18abbc15a4195737077360c638241 | [
"MIT"
] | null | null | null | redisun/models/setmodel.py | limen/pyredisun | 11b9590968a18abbc15a4195737077360c638241 | [
"MIT"
] | null | null | null | redisun/models/setmodel.py | limen/pyredisun | 11b9590968a18abbc15a4195737077360c638241 | [
"MIT"
] | null | null | null | from redisun.models.vectormodel import VectorModel
from redisun.querybuilder import QueryBuilder
class SetModel(VectorModel):
def _init_query_builder(self):
self._query_builder = QueryBuilder(('class', 'id', 'members'), ('id',), ':')
def create_xx(self, value, ttl=0):
pass
... | 20.952381 | 84 | 0.582955 | 109 | 880 | 4.577982 | 0.321101 | 0.126253 | 0.064128 | 0.128257 | 0.340681 | 0.264529 | 0 | 0 | 0 | 0 | 0 | 0.008224 | 0.309091 | 880 | 41 | 85 | 21.463415 | 0.8125 | 0 | 0 | 0.37037 | 0 | 0 | 0.019318 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.444444 | false | 0.37037 | 0.074074 | 0.037037 | 0.592593 | 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 | 1 | 0 | 0 | 3 |
c8a241c686b6256e5e25b7975aaded1d68330ee9 | 259 | py | Python | pychemia/code/octopus/__init__.py | petavazohi/PyChemia | e779389418771c25c830aed360773c63bb069372 | [
"MIT"
] | 67 | 2015-01-31T07:44:55.000Z | 2022-03-21T21:43:34.000Z | pychemia/code/octopus/__init__.py | petavazohi/PyChemia | e779389418771c25c830aed360773c63bb069372 | [
"MIT"
] | 13 | 2016-06-03T19:07:51.000Z | 2022-03-31T04:20:40.000Z | pychemia/code/octopus/__init__.py | petavazohi/PyChemia | e779389418771c25c830aed360773c63bb069372 | [
"MIT"
] | 37 | 2015-01-22T15:37:23.000Z | 2022-03-21T15:38:10.000Z | """
Set of classes and functions to manipulate
OCTOPUS 'inp' input files
"""
from .input import OctopusInput
from .output import OctopusOutput
from .run import OctopusRun
from . import analysis
# __all__ = filter(lambda s: not s.startswith('_'), dir())
| 16.1875 | 58 | 0.737452 | 34 | 259 | 5.470588 | 0.764706 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.166023 | 259 | 15 | 59 | 17.266667 | 0.861111 | 0.490347 | 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 | 1 | 0 | 0 | 3 |
c8aecceaf5b5132b6faf72ccd374d18e5589107f | 275 | py | Python | Wiener-Hopf Heston mex/scripts/profiler.py | inwise/Pyrgos-RFBR- | e139b56a8d05f668d609e1e48919827ebcfb3bbe | [
"Apache-2.0"
] | null | null | null | Wiener-Hopf Heston mex/scripts/profiler.py | inwise/Pyrgos-RFBR- | e139b56a8d05f668d609e1e48919827ebcfb3bbe | [
"Apache-2.0"
] | null | null | null | Wiener-Hopf Heston mex/scripts/profiler.py | inwise/Pyrgos-RFBR- | e139b56a8d05f668d609e1e48919827ebcfb3bbe | [
"Apache-2.0"
] | 2 | 2019-07-04T08:18:07.000Z | 2021-06-03T11:09:35.000Z | import time
""" для измерения времени выполнения кода. """
class profiler(object):
def __enter__(self):
self._startTime = time.time()
def __exit__(self, type, value, traceback):
print("Elapsed time: {:.3f} sec".format(time.time() - self._startTime)) | 30.555556 | 79 | 0.661818 | 33 | 275 | 5.212121 | 0.69697 | 0.151163 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004484 | 0.189091 | 275 | 9 | 79 | 30.555556 | 0.766816 | 0 | 0 | 0 | 0 | 0 | 0.104348 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0.166667 | 0 | 0.666667 | 0.166667 | 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 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
c8ee19173ca355230bcde82e50f93fcb06151093 | 149 | py | Python | Books/book3.py | morehwachege/Bookshelf | 99e6c68df50b14aef05c0f48d4d4c2f5fbe79fb9 | [
"MIT"
] | 4 | 2021-03-16T13:26:53.000Z | 2021-06-08T07:42:31.000Z | Books/book3.py | morehwachege/Bookshelf | 99e6c68df50b14aef05c0f48d4d4c2f5fbe79fb9 | [
"MIT"
] | null | null | null | Books/book3.py | morehwachege/Bookshelf | 99e6c68df50b14aef05c0f48d4d4c2f5fbe79fb9 | [
"MIT"
] | null | null | null | from book_function import scrapper
link = 'https://manybooks.net/search-book?field_genre[30]=30'
escape_plan = scrapper(link)
print(escape_plan[0]) | 24.833333 | 61 | 0.785235 | 23 | 149 | 4.913043 | 0.73913 | 0.212389 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.036496 | 0.080537 | 149 | 6 | 62 | 24.833333 | 0.788321 | 0 | 0 | 0 | 0 | 0 | 0.346667 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.25 | 0.25 | 1 | 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 | 3 |
cda642bde5d49e8b7be3f77180317546e62ab6c2 | 851 | py | Python | apps/drl/drl_app.py | yt7589/iching | 6673da38f4c80e7fd297c86fedc5616aee8ac09b | [
"Apache-2.0"
] | 32 | 2020-04-14T08:32:18.000Z | 2022-02-09T07:05:08.000Z | apps/drl/drl_app.py | yt7589/iching | 6673da38f4c80e7fd297c86fedc5616aee8ac09b | [
"Apache-2.0"
] | 1 | 2020-04-08T10:42:15.000Z | 2020-04-15T01:38:03.000Z | apps/drl/drl_app.py | yt7589/iching | 6673da38f4c80e7fd297c86fedc5616aee8ac09b | [
"Apache-2.0"
] | 4 | 2020-08-25T03:56:46.000Z | 2021-05-11T05:55:51.000Z | #
from apps.drl.chp001.exp001_001 import Exp001001
from apps.drl.chp001.exp001_002 import Exp001002
from apps.drl.chp002.exp002_001 import Exp002001
from apps.drl.chpA01.chp_a01_main import ChpA01Main
from apps.drl.chpA01.e02.chp_a01_e02_main import ChpA01E02Main
from apps.drl.c02.c02_app import C02App
from apps.drl.c0... | 29.344828 | 62 | 0.675676 | 120 | 851 | 4.65 | 0.333333 | 0.137993 | 0.197133 | 0.060932 | 0.082437 | 0 | 0 | 0 | 0 | 0 | 0 | 0.188253 | 0.219741 | 851 | 29 | 63 | 29.344828 | 0.652108 | 0.168038 | 0 | 0 | 0 | 0 | 0.021459 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.625 | 0 | 0.8125 | 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 | 1 | 0 | 1 | 0 | 0 | 3 |
cdac38280ef4b1b31c9f908c39b1b40704354b7c | 1,368 | py | Python | pyzoo/zoo/pipeline/api/onnx/mapper/constant.py | abdolence/analytics-zoo | 364856abcbe9aff7f7b6cf9b9f8648d51e07ca64 | [
"Apache-2.0"
] | 2,970 | 2017-06-08T00:24:43.000Z | 2022-03-30T12:14:55.000Z | pyzoo/zoo/pipeline/api/onnx/mapper/constant.py | abdolence/analytics-zoo | 364856abcbe9aff7f7b6cf9b9f8648d51e07ca64 | [
"Apache-2.0"
] | 3,530 | 2017-05-09T08:29:10.000Z | 2022-03-21T02:11:45.000Z | pyzoo/zoo/pipeline/api/onnx/mapper/constant.py | abdolence/analytics-zoo | 364856abcbe9aff7f7b6cf9b9f8648d51e07ca64 | [
"Apache-2.0"
] | 972 | 2017-05-09T07:03:50.000Z | 2022-03-23T07:48:48.000Z | #
# Copyright 2018 Analytics Zoo Authors.
#
# 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... | 36 | 97 | 0.747807 | 197 | 1,368 | 5.040609 | 0.553299 | 0.060423 | 0.056395 | 0.054381 | 0.074522 | 0.052367 | 0 | 0 | 0 | 0 | 0 | 0.007902 | 0.167398 | 1,368 | 37 | 98 | 36.972973 | 0.863916 | 0.429094 | 0 | 0 | 0 | 0 | 0.006729 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.214286 | false | 0 | 0.428571 | 0.071429 | 0.857143 | 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 | 1 | 0 | 0 | 3 |
cdb051f028889c4d8a24fc7986005e01b27b2f98 | 4,476 | py | Python | Class/ClassesAndInheritance.py | eduardormonteiro/PythonPersonalLibrary | 561733bb8305c4e25a08f99c28b60ec77251ad67 | [
"MIT"
] | null | null | null | Class/ClassesAndInheritance.py | eduardormonteiro/PythonPersonalLibrary | 561733bb8305c4e25a08f99c28b60ec77251ad67 | [
"MIT"
] | null | null | null | Class/ClassesAndInheritance.py | eduardormonteiro/PythonPersonalLibrary | 561733bb8305c4e25a08f99c28b60ec77251ad67 | [
"MIT"
] | null | null | null | """
coding: utf-8
Created on 29/10/2020
@author: github.com/edrmonteiro
From: MIT 6.00.1x Introduction to Computer Science and Programming Using Python
"""
class Animal(object):
def __init__(self, age):
self.age = age
self.name = None
def get_age(self):
return self.age
def get_nam... | 27.127273 | 79 | 0.606122 | 597 | 4,476 | 4.38861 | 0.251256 | 0.04542 | 0.032061 | 0.030534 | 0.119847 | 0.083206 | 0.029771 | 0 | 0 | 0 | 0 | 0.0217 | 0.258713 | 4,476 | 164 | 80 | 27.292683 | 0.767932 | 0.201966 | 0 | 0.179245 | 0 | 0 | 0.04413 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.292453 | false | 0.009434 | 0.009434 | 0.150943 | 0.54717 | 0.113208 | 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 | 1 | 0 | 0 | 3 |
cdc0b7acbbce1482c0f56c33c58923242ea185e5 | 1,308 | py | Python | panobbgo/strategies/__init__.py | haraldschilly/panobbgo | eca7ce68333b186f82bf1227bb64235e3f1cb99c | [
"Apache-2.0"
] | 1 | 2019-03-16T19:23:44.000Z | 2019-03-16T19:23:44.000Z | panobbgo/strategies/__init__.py | haraldschilly/panobbgo | eca7ce68333b186f82bf1227bb64235e3f1cb99c | [
"Apache-2.0"
] | null | null | null | panobbgo/strategies/__init__.py | haraldschilly/panobbgo | eca7ce68333b186f82bf1227bb64235e3f1cb99c | [
"Apache-2.0"
] | 1 | 2021-02-27T02:13:33.000Z | 2021-02-27T02:13:33.000Z | # -*- coding: utf8 -*-
# Copyright 2012 Harald Schilly <harald.schilly@univie.ac.at>
#
# 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 ... | 34.421053 | 74 | 0.778287 | 185 | 1,308 | 5.443243 | 0.627027 | 0.059583 | 0.037736 | 0.051639 | 0.0715 | 0.0715 | 0.0715 | 0 | 0 | 0 | 0 | 0.008 | 0.139908 | 1,308 | 37 | 75 | 35.351351 | 0.887111 | 0.844801 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.8 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
cdc9c21ac813246bcf2c5f22b098eaa345fb33b2 | 1,688 | py | Python | tests/test_signature_parsing.py | devforfu/ancli | 44ea37e756fb12221bfafc1ecae3b8ef46d84cce | [
"MIT"
] | 1 | 2020-10-24T16:08:14.000Z | 2020-10-24T16:08:14.000Z | tests/test_signature_parsing.py | devforfu/ancli | 44ea37e756fb12221bfafc1ecae3b8ef46d84cce | [
"MIT"
] | null | null | null | tests/test_signature_parsing.py | devforfu/ancli | 44ea37e756fb12221bfafc1ecae3b8ef46d84cce | [
"MIT"
] | null | null | null | from ancli import make_cli
def test_function_signature_with_all_required_params():
def all_required(integer: int, floating: float, string: str): pass
spec = make_cli(all_required, spec_only=True)
assert len(spec) == 3
assert spec[0] == {'name': 'integer', 'type': int, 'required': True}
assert sp... | 31.849057 | 75 | 0.634479 | 246 | 1,688 | 4.162602 | 0.207317 | 0.107422 | 0.073242 | 0.117188 | 0.46582 | 0.25293 | 0.226563 | 0.186523 | 0.120117 | 0.120117 | 0 | 0.019651 | 0.186019 | 1,688 | 52 | 76 | 32.461538 | 0.725619 | 0 | 0 | 0.09375 | 0 | 0 | 0.123223 | 0 | 0 | 0 | 0 | 0 | 0.5 | 1 | 0.3125 | false | 0.15625 | 0.03125 | 0 | 0.34375 | 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 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 |
cdd3965bc608896f5e4af9e7a50c6ccacab01a5b | 1,084 | py | Python | cart/models.py | Zubby1/BuyIT_Lite | 98a0df3372bf7bdf05d6e0929887618574b35edf | [
"MIT"
] | null | null | null | cart/models.py | Zubby1/BuyIT_Lite | 98a0df3372bf7bdf05d6e0929887618574b35edf | [
"MIT"
] | null | null | null | cart/models.py | Zubby1/BuyIT_Lite | 98a0df3372bf7bdf05d6e0929887618574b35edf | [
"MIT"
] | null | null | null | from django.db import models
from catalog.models import Product
class CartItem(models.Model):
""" model class containing information each Product instance in the customer's shopping cart """
cart_id = models.CharField(max_length=50, db_index=True)
date_added = models.DateTimeField(auto_now_add=True... | 30.971429 | 104 | 0.668819 | 135 | 1,084 | 5.259259 | 0.503704 | 0.056338 | 0.078873 | 0.088732 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003663 | 0.244465 | 1,084 | 34 | 105 | 31.882353 | 0.863248 | 0.163284 | 0 | 0.125 | 0 | 0 | 0.023283 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.208333 | false | 0 | 0.083333 | 0.166667 | 0.708333 | 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 | 1 | 0 | 0 | 3 |
cdd43ba74286f01bd4f28465863909e28b48d35f | 134 | py | Python | api/urls.py | gurupratap-matharu/midware | dead10bfcf5b2863783c0ec407ed5a0cf77dc7d7 | [
"MIT"
] | null | null | null | api/urls.py | gurupratap-matharu/midware | dead10bfcf5b2863783c0ec407ed5a0cf77dc7d7 | [
"MIT"
] | 4 | 2021-04-08T20:10:01.000Z | 2021-09-22T19:43:17.000Z | api/urls.py | gurupratap-matharu/midware | dead10bfcf5b2863783c0ec407ed5a0cf77dc7d7 | [
"MIT"
] | null | null | null | from django.urls import path
from api.views import RequestListAPIView
urlpatterns = [
path('', RequestListAPIView.as_view()),
]
| 16.75 | 43 | 0.746269 | 15 | 134 | 6.6 | 0.733333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.149254 | 134 | 7 | 44 | 19.142857 | 0.868421 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.4 | 0 | 0.4 | 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 | 1 | 0 | 0 | 0 | 0 | 3 |
a81137a63c9974f9fda49efbd0ecde794894ac1a | 2,040 | py | Python | prob0004.py | chadhs/project-euler | c19a81a98efee991cadb6a66eb1865088416201e | [
"BSD-3-Clause"
] | null | null | null | prob0004.py | chadhs/project-euler | c19a81a98efee991cadb6a66eb1865088416201e | [
"BSD-3-Clause"
] | null | null | null | prob0004.py | chadhs/project-euler | c19a81a98efee991cadb6a66eb1865088416201e | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
from timeit import timeit
def is_palindrome(number):
num_str = str(number)
return num_str == num_str[::-1]
def get_products(): # lists and sorting method
products = []
palindromes = []
for num in range(100, 1000):
for num2 in range(100, 1000):
product... | 22.417582 | 76 | 0.592157 | 265 | 2,040 | 4.437736 | 0.249057 | 0.112245 | 0.047619 | 0.044218 | 0.638605 | 0.618197 | 0.618197 | 0.606293 | 0.606293 | 0.606293 | 0 | 0.049569 | 0.317647 | 2,040 | 90 | 77 | 22.666667 | 0.795259 | 0.097059 | 0 | 0.745455 | 0 | 0 | 0.023121 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.018182 | null | null | 0.145455 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 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 | 3 |
b522cdc78af24c5de525e3afd2f108ecac39074b | 188 | py | Python | recipes/nudeclassifier/predictor.py | notAI-tech/fastDeploy-core | 011f4cba2d2b018efe0a5548978e290225f2e745 | [
"MIT"
] | null | null | null | recipes/nudeclassifier/predictor.py | notAI-tech/fastDeploy-core | 011f4cba2d2b018efe0a5548978e290225f2e745 | [
"MIT"
] | 1 | 2020-04-12T13:36:22.000Z | 2020-04-12T13:36:22.000Z | recipes/nudeclassifier/predictor.py | notAI-tech/fastDeploy-core | 011f4cba2d2b018efe0a5548978e290225f2e745 | [
"MIT"
] | null | null | null | from nudenet import NudeClassifier
m = NudeClassifier()
def predictor(x, batch_size=2, extras=[]):
preds = m.classify(x, batch_size=batch_size)
return [preds.get(_) for _ in x]
| 20.888889 | 48 | 0.707447 | 27 | 188 | 4.740741 | 0.666667 | 0.210938 | 0.15625 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00641 | 0.170213 | 188 | 8 | 49 | 23.5 | 0.814103 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0.2 | 0 | 0.6 | 0 | 1 | 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 | 3 |
b533f5625a0a6e961413ccf5581ef00243068d36 | 26 | py | Python | scripts/export/genomes/__init__.py | Rfam/rfam-production | 36f3963380da2a08e9cf73c951691c4e95738ac4 | [
"Apache-2.0"
] | 7 | 2016-06-17T09:21:11.000Z | 2021-10-13T20:25:06.000Z | scripts/export/genomes/__init__.py | mb1069/rfam-production | 10c76e249dc22d30862b3a873fd54f390e859ad8 | [
"Apache-2.0"
] | 82 | 2016-04-08T10:51:32.000Z | 2022-03-11T13:49:18.000Z | scripts/export/genomes/__init__.py | mb1069/rfam-production | 10c76e249dc22d30862b3a873fd54f390e859ad8 | [
"Apache-2.0"
] | 3 | 2019-09-01T09:46:35.000Z | 2021-11-29T08:01:58.000Z | __all__ = ['genome_fetch'] | 26 | 26 | 0.730769 | 3 | 26 | 4.666667 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.076923 | 26 | 1 | 26 | 26 | 0.583333 | 0 | 0 | 0 | 0 | 0 | 0.444444 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 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 | 3 |
b54093f68b3d68586d60e9d627a3436ba981225c | 1,324 | py | Python | energystoragetechnologies/models.py | xiaoshir/EnergyStorageTechnologies | 0298073d7bbd267919c6f08af4f24ca85168d629 | [
"BSD-3-Clause"
] | null | null | null | energystoragetechnologies/models.py | xiaoshir/EnergyStorageTechnologies | 0298073d7bbd267919c6f08af4f24ca85168d629 | [
"BSD-3-Clause"
] | null | null | null | energystoragetechnologies/models.py | xiaoshir/EnergyStorageTechnologies | 0298073d7bbd267919c6f08af4f24ca85168d629 | [
"BSD-3-Clause"
] | null | null | null | from energystoragetechnologies import db
class Technology(db.Model):
id = db.Column(db.Integer, primary_key=True)
name = db.Column(db.String(50), unique=True, nullable=False)
parameter = db.relationship('Parameter', backref='technology', lazy=True)
level = db.Column(db.Integer, nullable=False)
desc... | 41.375 | 92 | 0.705438 | 183 | 1,324 | 5.038251 | 0.229508 | 0.164859 | 0.206074 | 0.190889 | 0.623644 | 0.388286 | 0.388286 | 0.303688 | 0.303688 | 0.303688 | 0 | 0.032743 | 0.146526 | 1,324 | 32 | 93 | 41.375 | 0.783186 | 0 | 0 | 0.111111 | 0 | 0 | 0.050566 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.037037 | false | 0 | 0.037037 | 0.037037 | 1 | 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 | 1 | 0 | 0 | 3 |
b556a16d6e5029ac769a73bd2ed70eddbaaa64df | 954 | py | Python | dialogue_system/dialogue_management/state.py | syugoing/communication | 82296561ff525aac0fea0ff38c7660699430ed79 | [
"MIT"
] | null | null | null | dialogue_system/dialogue_management/state.py | syugoing/communication | 82296561ff525aac0fea0ff38c7660699430ed79 | [
"MIT"
] | null | null | null | dialogue_system/dialogue_management/state.py | syugoing/communication | 82296561ff525aac0fea0ff38c7660699430ed79 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
class DialogueState(object):
def __init__(self):
self.__state = {'TEACHER': None, 'SUBJECT': None, 'REPLY': None, 'PICTURE': None}
def update(self, dialogue_act):
self.__state['TEACHER'] = dialogue_act.get('TEACHER', self.__state['TEACHER'])
self.__state['SUBJ... | 29.8125 | 89 | 0.624738 | 114 | 954 | 4.807018 | 0.263158 | 0.229927 | 0.116788 | 0.104015 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001333 | 0.213836 | 954 | 32 | 90 | 29.8125 | 0.729333 | 0.022013 | 0 | 0 | 0 | 0 | 0.131974 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.380952 | false | 0 | 0.047619 | 0.190476 | 0.714286 | 0.095238 | 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 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 |
b58c9110a2f68c755c78db97786aec049c2e4f32 | 182 | py | Python | src/pygictower/__init__.py | gaogaotiantian/pygictower | 68edbcbb2b596b4a83f283a615b8c2756500ea5c | [
"Apache-2.0"
] | null | null | null | src/pygictower/__init__.py | gaogaotiantian/pygictower | 68edbcbb2b596b4a83f283a615b8c2756500ea5c | [
"Apache-2.0"
] | null | null | null | src/pygictower/__init__.py | gaogaotiantian/pygictower | 68edbcbb2b596b4a83f283a615b8c2756500ea5c | [
"Apache-2.0"
] | 1 | 2020-10-08T05:47:22.000Z | 2020-10-08T05:47:22.000Z | # Licensed under the Apache License: http://www.apache.org/licenses/LICENSE-2.0
# For details: https://github.com/gaogaotiantian/pygictower/blob/master/NOTICE
__version__ = "0.0.1"
| 36.4 | 79 | 0.769231 | 27 | 182 | 5.037037 | 0.851852 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.02994 | 0.082418 | 182 | 4 | 80 | 45.5 | 0.784431 | 0.846154 | 0 | 0 | 0 | 0 | 0.2 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
b5a435b4d3ba0aac36fc0cbf56ae4523b8a16741 | 3,401 | py | Python | easypy/predicates.py | Roynecro97/easypy | 9f36732b558477557b8a57cfad2840767eff0d12 | [
"BSD-3-Clause"
] | 7 | 2020-03-23T08:30:29.000Z | 2020-12-05T14:51:49.000Z | easypy/predicates.py | Roynecro97/easypy | 9f36732b558477557b8a57cfad2840767eff0d12 | [
"BSD-3-Clause"
] | null | null | null | easypy/predicates.py | Roynecro97/easypy | 9f36732b558477557b8a57cfad2840767eff0d12 | [
"BSD-3-Clause"
] | 6 | 2020-04-28T12:20:14.000Z | 2022-02-15T15:01:42.000Z | class Predicate(object):
def test(self, obj):
raise NotImplementedError()
def __call__(self, obj):
return self.test(obj)
def __eq__(self, obj):
return self.test(obj)
def __ne__(self, obj):
return not self == obj
def __and__(self, other):
return And(self, ... | 23.618056 | 85 | 0.612761 | 398 | 3,401 | 4.997487 | 0.173367 | 0.044243 | 0.060332 | 0.092509 | 0.354952 | 0.273002 | 0.211161 | 0.154852 | 0.154852 | 0.154852 | 0 | 0 | 0.270509 | 3,401 | 143 | 86 | 23.783217 | 0.801693 | 0.017936 | 0 | 0.287234 | 0 | 0 | 0.017148 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.308511 | false | 0 | 0 | 0.180851 | 0.670213 | 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 | 1 | 0 | 0 | 3 |
a90cd57bbd05c307113f45d237d0935f481e987e | 389 | py | Python | musicsync/config.py | chrispouliot/musicsync | 6a67dab7245a9f2613fbd3aa659487503c032c4f | [
"MIT"
] | 1 | 2018-04-19T01:10:45.000Z | 2018-04-19T01:10:45.000Z | musicsync/config.py | moxuz/musicsync | 6a67dab7245a9f2613fbd3aa659487503c032c4f | [
"MIT"
] | 4 | 2021-02-08T20:23:18.000Z | 2021-06-01T22:09:00.000Z | musicsync/config.py | moxuz/musicsync | 6a67dab7245a9f2613fbd3aa659487503c032c4f | [
"MIT"
] | null | null | null | import logging
import os
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger("musicsync")
SPOTIFY_CLIENT_ID = os.environ.get("SPOTIFY_CLIENT_ID")
SPOTIFY_CLIENT_SECRET = os.environ.get("SPOTIFY_CLIENT_SECRET")
SPOTIFY_USER_ID = os.environ.get("SPOTIFY_USER_ID")
GPM_EMAIL_ADDRESS = os.environ.get('GPM_E... | 32.416667 | 63 | 0.817481 | 58 | 389 | 5.137931 | 0.362069 | 0.151007 | 0.201342 | 0.191275 | 0.244966 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.064267 | 389 | 11 | 64 | 35.363636 | 0.818681 | 0 | 0 | 0 | 0 | 0 | 0.244216 | 0.053985 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.111111 | 0.222222 | 0 | 0.222222 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 3 |
a92e3f59296daa517ec7c692ad0af70b911befdc | 98 | py | Python | docs/new-pandas-doc/generated/pandas-plotting-bootstrap_plot-1.py | maartenbreddels/datapythonista.github.io | f78d7b9a8a793fc446c5ba3ee74423433b00fb63 | [
"Apache-2.0"
] | null | null | null | docs/new-pandas-doc/generated/pandas-plotting-bootstrap_plot-1.py | maartenbreddels/datapythonista.github.io | f78d7b9a8a793fc446c5ba3ee74423433b00fb63 | [
"Apache-2.0"
] | null | null | null | docs/new-pandas-doc/generated/pandas-plotting-bootstrap_plot-1.py | maartenbreddels/datapythonista.github.io | f78d7b9a8a793fc446c5ba3ee74423433b00fb63 | [
"Apache-2.0"
] | null | null | null | import numpy as np
s = pd.Series(np.random.uniform(size=100))
fig = pd.plotting.bootstrap_plot(s)
| 24.5 | 42 | 0.755102 | 18 | 98 | 4.055556 | 0.833333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.034091 | 0.102041 | 98 | 3 | 43 | 32.666667 | 0.795455 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 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 | 3 |
a932412556ef02519dad8913345cdf14b0b382a2 | 1,833 | py | Python | stn/agent.py | yxonic/stn | cb8815b1e2aaa8fe5b398b7b1c211b641d3e3fe1 | [
"MIT"
] | 5 | 2019-04-03T00:43:12.000Z | 2021-03-12T06:29:05.000Z | stn/agent.py | bigdata-ustc/stn | cb8815b1e2aaa8fe5b398b7b1c211b641d3e3fe1 | [
"MIT"
] | 1 | 2019-09-10T12:18:20.000Z | 2019-09-10T12:18:20.000Z | stn/agent.py | bigdata-ustc/stn | cb8815b1e2aaa8fe5b398b7b1c211b641d3e3fe1 | [
"MIT"
] | 3 | 2019-06-24T11:06:48.000Z | 2020-08-09T03:52:35.000Z | """Spotlight control agents."""
import torch
import torch.nn as nn
from .util import var
class MarkovPolicy(nn.Module):
def __init__(self, state_size):
super().__init__()
self.state_size = state_size
self.internal = nn.Linear(state_size, 64)
self.pi = nn.Linear(state_size, 3)
... | 30.55 | 71 | 0.616476 | 278 | 1,833 | 3.848921 | 0.176259 | 0.109346 | 0.06729 | 0.079439 | 0.67757 | 0.648598 | 0.602804 | 0.476636 | 0.418692 | 0.345794 | 0 | 0.023605 | 0.237316 | 1,833 | 59 | 72 | 31.067797 | 0.741774 | 0.03437 | 0 | 0.380952 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.238095 | false | 0 | 0.071429 | 0.166667 | 0.547619 | 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 | 1 | 0 | 0 | 3 |
a933dc2192a4c94d416eb12098048902f10f95ab | 93 | py | Python | hpitclient/__init__.py | adlnet-archive/HPIT-python-client | 2443eaa46b04e5b92d73632be417a38af93db97e | [
"MIT"
] | 3 | 2017-07-04T03:01:35.000Z | 2021-11-08T11:21:13.000Z | hpitclient/__init__.py | adlnet/HPIT-python-client | 2443eaa46b04e5b92d73632be417a38af93db97e | [
"MIT"
] | 1 | 2021-06-01T21:59:37.000Z | 2021-06-01T21:59:37.000Z | hpitclient/__init__.py | adlnet-archive/HPIT-python-client | 2443eaa46b04e5b92d73632be417a38af93db97e | [
"MIT"
] | 5 | 2015-02-02T20:50:07.000Z | 2017-05-21T14:32:41.000Z | from .plugin import Plugin
from .tutor import Tutor
__all__ = [
'Plugin',
'Tutor',
] | 13.285714 | 26 | 0.645161 | 11 | 93 | 5.090909 | 0.454545 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.236559 | 93 | 7 | 27 | 13.285714 | 0.788732 | 0 | 0 | 0 | 0 | 0 | 0.117021 | 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 | 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 | 3 |
a93cd6a0c4b622523903481a1bc7dc3d43d9ea06 | 353 | py | Python | TUGithubAPITest/scenario_test/conftest.py | putishuxiazuo/APITest | 0d391b075ca1c17909e4dfba45145e50f6706d6a | [
"MIT"
] | null | null | null | TUGithubAPITest/scenario_test/conftest.py | putishuxiazuo/APITest | 0d391b075ca1c17909e4dfba45145e50f6706d6a | [
"MIT"
] | null | null | null | TUGithubAPITest/scenario_test/conftest.py | putishuxiazuo/APITest | 0d391b075ca1c17909e4dfba45145e50f6706d6a | [
"MIT"
] | null | null | null | import pytest,os,json
from TUGithubAPITest.Evironment import Env
@pytest.fixture(scope='module',autouse=True)
def env():
yield Env(api_root_url ="https://api.github.com",
token = os.environ['token']) #更改sequence,env的值,切换不同的api_root_url
@pytest.fixture(scope='module',autouse=True)
def just_pri... | 19.611111 | 83 | 0.699717 | 46 | 353 | 5.26087 | 0.630435 | 0.107438 | 0.14876 | 0.198347 | 0.31405 | 0.31405 | 0.31405 | 0 | 0 | 0 | 0 | 0 | 0.155807 | 353 | 17 | 84 | 20.764706 | 0.812081 | 0.096317 | 0 | 0.222222 | 0 | 0 | 0.152866 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.222222 | true | 0 | 0.222222 | 0 | 0.444444 | 0.222222 | 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 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
a953bcd15234b57592d2df47b3a9396dfdb01eab | 720 | py | Python | examples/modules/module02.py | miraclx/rodio | 5c8b5cf3b667c3e640cf0ff3d42053137e5399a6 | [
"Apache-2.0"
] | 2 | 2019-07-12T12:53:46.000Z | 2021-02-07T20:54:55.000Z | examples/modules/module02.py | miraclx/rodio | 5c8b5cf3b667c3e640cf0ff3d42053137e5399a6 | [
"Apache-2.0"
] | null | null | null | examples/modules/module02.py | miraclx/rodio | 5c8b5cf3b667c3e640cf0ff3d42053137e5399a6 | [
"Apache-2.0"
] | null | null | null | import asyncio
from rodio import get_running_loop, printfromprocess
process = get_running_loop()
async def act1():
printfromprocess("act1 sleeping 2 secs")
await asyncio.sleep(2)
printfromprocess("act1 done sleeping 2 secs")
async def act2():
printfromprocess("act2 sleeping 2 secs")
await async... | 24.827586 | 62 | 0.763889 | 85 | 720 | 6.423529 | 0.364706 | 0.164835 | 0.192308 | 0.338828 | 0.344322 | 0.344322 | 0.172161 | 0.172161 | 0 | 0 | 0 | 0.028571 | 0.125 | 720 | 28 | 63 | 25.714286 | 0.838095 | 0 | 0 | 0.117647 | 0 | 0 | 0.216667 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.117647 | 0 | 0.117647 | 0.588235 | 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 | 1 | 0 | 3 |
a98d63684019894f3543684491caa971d3683c6d | 1,657 | py | Python | days/07-09-data-structures/code/data_structures_yo.py | pruty20/100daysofcode-with-python-course | f928e209a94024c1fd4e120c41580fed7ab2b90a | [
"MIT"
] | null | null | null | days/07-09-data-structures/code/data_structures_yo.py | pruty20/100daysofcode-with-python-course | f928e209a94024c1fd4e120c41580fed7ab2b90a | [
"MIT"
] | null | null | null | days/07-09-data-structures/code/data_structures_yo.py | pruty20/100daysofcode-with-python-course | f928e209a94024c1fd4e120c41580fed7ab2b90a | [
"MIT"
] | null | null | null | """
Manipulating lists
"""
# numlist = [1, 2, 3, 4, 5]
#
# print(numlist)
#
# numlist.reverse()
# print(numlist)
#
# numlist.sort()
# print(numlist)
#
# for num in numlist:
# print(str(num))
#
# mystring = 'julian'
# mystring_list = list(mystring)
# print(mystring_list)
#
# print(mystring_list[4])
# print(mystring... | 17.62766 | 82 | 0.641521 | 230 | 1,657 | 4.53913 | 0.343478 | 0.218391 | 0.195402 | 0.095785 | 0.268199 | 0.240421 | 0.095785 | 0.095785 | 0.095785 | 0.095785 | 0 | 0.018222 | 0.171998 | 1,657 | 93 | 83 | 17.817204 | 0.742711 | 0.785154 | 0 | null | 0 | null | 0 | 0 | null | 0 | 0 | 0 | null | 1 | null | true | 0 | 0 | null | null | null | 0 | 0 | 0 | null | 1 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
a999bf18b8c621a2379690171fffa0cbbea7c1ac | 77 | py | Python | src/miner/modules/l2_miner/__init__.py | cathook/PTTArticleRecommender | 4ee5cf9dbc6d28b9b08f648a05705a0ac82d7aad | [
"MIT"
] | 1 | 2016-06-17T06:57:48.000Z | 2016-06-17T06:57:48.000Z | src/miner/modules/l2_miner/__init__.py | cathook/PTTArticleRecommander | 4ee5cf9dbc6d28b9b08f648a05705a0ac82d7aad | [
"MIT"
] | null | null | null | src/miner/modules/l2_miner/__init__.py | cathook/PTTArticleRecommander | 4ee5cf9dbc6d28b9b08f648a05705a0ac82d7aad | [
"MIT"
] | null | null | null | from modules.l2_miner.real_backend import RealBackend
L2Miner = RealBackend
| 19.25 | 53 | 0.857143 | 10 | 77 | 6.4 | 0.9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.028986 | 0.103896 | 77 | 3 | 54 | 25.666667 | 0.898551 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.5 | 0 | 0.5 | 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 | 1 | 0 | 0 | 0 | 0 | 3 |
8d12e40ed62facb230fea7bf0d47c5f8413c1cc3 | 191 | py | Python | TF_CONFIG.py | ultradio/ai-platform | 6508db068bafb6c397aee91ba7d60f2531c5b03a | [
"Apache-2.0"
] | null | null | null | TF_CONFIG.py | ultradio/ai-platform | 6508db068bafb6c397aee91ba7d60f2531c5b03a | [
"Apache-2.0"
] | null | null | null | TF_CONFIG.py | ultradio/ai-platform | 6508db068bafb6c397aee91ba7d60f2531c5b03a | [
"Apache-2.0"
] | null | null | null | os.environ["TF_CONFIG"] = json.dumps({
"cluster": {
"worker": ["host1:port", "host2:port", "host3:port"],
"ps": ["host4:port", "host5:port"]
},
"task": {"type": "worker", "index": 1}
})
| 23.875 | 54 | 0.560209 | 24 | 191 | 4.416667 | 0.791667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.035928 | 0.125654 | 191 | 7 | 55 | 27.285714 | 0.598802 | 0 | 0 | 0 | 0 | 0 | 0.486911 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0 | null | null | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
8d289f02cd0f14d5595ad238a414b22f0db86988 | 403 | py | Python | tests/conftest.py | tharte/parsearg | a4b3fba3033c377495e2559e44751efa06a90d7a | [
"MIT"
] | null | null | null | tests/conftest.py | tharte/parsearg | a4b3fba3033c377495e2559e44751efa06a90d7a | [
"MIT"
] | null | null | null | tests/conftest.py | tharte/parsearg | a4b3fba3033c377495e2559e44751efa06a90d7a | [
"MIT"
] | null | null | null | import pytest
import argparse
from parsearg.data_structures import (
Tree,
)
from parsearg.example_trees import (
a_tree,
a_dict,
a_aa_tree,
a_aa_dict,
)
@pytest.fixture(scope='session')
def get_a_tree():
return a_tree()
@pytest.fixture(scope='session')
def get_a_aa_tree():
return a_aa_tr... | 16.791667 | 38 | 0.709677 | 62 | 403 | 4.274194 | 0.306452 | 0.067925 | 0.079245 | 0.283019 | 0.407547 | 0.407547 | 0.407547 | 0.286792 | 0.286792 | 0 | 0 | 0 | 0.173697 | 403 | 23 | 39 | 17.521739 | 0.795796 | 0 | 0 | 0.15 | 0 | 0 | 0.052109 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.15 | true | 0 | 0.2 | 0.15 | 0.5 | 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 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 3 |
8d2d1f0e9ac3dcf2a70ac33125f351fcfe76faf8 | 137 | py | Python | configs/ranksort_loss/ranksort_faster_rcnn_r101_fpn_1x_cell_voc_alrp.py | fountain-y/ranksortloss | e9c4ba360b2dd905babb0ed1a445fca588c5ecec | [
"Apache-2.0"
] | 1 | 2021-11-04T09:55:06.000Z | 2021-11-04T09:55:06.000Z | configs/ranksort_loss/ranksort_faster_rcnn_r101_fpn_1x_cell_voc_alrp.py | fountain-y/ranksortloss | e9c4ba360b2dd905babb0ed1a445fca588c5ecec | [
"Apache-2.0"
] | null | null | null | configs/ranksort_loss/ranksort_faster_rcnn_r101_fpn_1x_cell_voc_alrp.py | fountain-y/ranksortloss | e9c4ba360b2dd905babb0ed1a445fca588c5ecec | [
"Apache-2.0"
] | 1 | 2021-11-08T01:41:09.000Z | 2021-11-08T01:41:09.000Z | _base_ = 'ranksort_faster_rcnn_r50_fpn_1x_cell_voc_alrp.py'
model = dict(pretrained='torchvision://resnet101', backbone=dict(depth=101)) | 45.666667 | 76 | 0.817518 | 20 | 137 | 5.1 | 0.95 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.069231 | 0.051095 | 137 | 3 | 76 | 45.666667 | 0.715385 | 0 | 0 | 0 | 0 | 0 | 0.514493 | 0.514493 | 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 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
8d36de18ef76c85e4aa4788df7b1f94f40667905 | 207 | py | Python | basic/bal.py | jspw/Basic_Python | aa159f576a471c6deebdf1e5f462dfc9ffb4930b | [
"Unlicense"
] | 6 | 2020-06-25T14:52:09.000Z | 2021-08-05T20:54:15.000Z | basic/bal.py | jspw/Basic_Python | aa159f576a471c6deebdf1e5f462dfc9ffb4930b | [
"Unlicense"
] | null | null | null | basic/bal.py | jspw/Basic_Python | aa159f576a471c6deebdf1e5f462dfc9ffb4930b | [
"Unlicense"
] | null | null | null | def print_fun():
print("Heloo")
class bala:
Name = "This is Shifat"
def shit(self):
print("Say my name !")
print("I'm in a class")
def __str__(self):
return self.Name | 15.923077 | 30 | 0.555556 | 30 | 207 | 3.666667 | 0.666667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.309179 | 207 | 13 | 31 | 15.923077 | 0.769231 | 0 | 0 | 0 | 0 | 0 | 0.225962 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0 | 0.111111 | 0.666667 | 0.444444 | 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 | 1 | 0 | 3 |
8d3704717aeb89f0f92c1c9ae3e75a12861eb087 | 1,529 | py | Python | Inflector/src/tree.py | yatbear/mt | 5cbc1ff4381bf6bf8325f3fde56cc358ed574e86 | [
"MIT"
] | null | null | null | Inflector/src/tree.py | yatbear/mt | 5cbc1ff4381bf6bf8325f3fde56cc358ed574e86 | [
"MIT"
] | null | null | null | Inflector/src/tree.py | yatbear/mt | 5cbc1ff4381bf6bf8325f3fde56cc358ed574e86 | [
"MIT"
] | 1 | 2016-08-07T08:33:11.000Z | 2016-08-07T08:33:11.000Z | """
Implements a dependency tree. Indices are 1-based.
"""
class Node:
def __init__(self, pair, index):
self.parent_index_, self.label_ = pair.split('/')
self.parent_index_ = int(self.parent_index_)
self.index_ = int(index)
self.parent_ = None
self.children_ = []
def pa... | 25.915254 | 102 | 0.591236 | 198 | 1,529 | 4.287879 | 0.272727 | 0.117786 | 0.09894 | 0.045936 | 0.054181 | 0.054181 | 0 | 0 | 0 | 0 | 0 | 0.008234 | 0.285154 | 1,529 | 58 | 103 | 26.362069 | 0.768527 | 0.092217 | 0 | 0 | 0 | 0 | 0.011679 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.325 | false | 0 | 0 | 0.2 | 0.65 | 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 | 1 | 0 | 0 | 3 |
8d56c372fe24473a2ad597c4a29f8749dbd52805 | 154 | py | Python | vbb/libraries/apps.py | VillageBookBuilders/vbb-portal-packend | 9563b492aa93f12fdfed41a905ff185182e97dd8 | [
"MIT"
] | 1 | 2022-03-30T18:12:49.000Z | 2022-03-30T18:12:49.000Z | vbb/libraries/apps.py | VillageBookBuilders/vbb-portal-backend | decdec392f7bd585b73e5554b20c17baea5d133d | [
"MIT"
] | 22 | 2022-02-28T02:37:03.000Z | 2022-03-28T02:32:35.000Z | vbb/libraries/apps.py | VillageBookBuilders/vbb-portal-packend | 9563b492aa93f12fdfed41a905ff185182e97dd8 | [
"MIT"
] | null | null | null | from django.apps import AppConfig
class LibrariesConfig(AppConfig):
default_auto_field = "django.db.models.BigAutoField"
name = "vbb.libraries"
| 22 | 56 | 0.766234 | 18 | 154 | 6.444444 | 0.888889 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.142857 | 154 | 6 | 57 | 25.666667 | 0.878788 | 0 | 0 | 0 | 0 | 0 | 0.272727 | 0.188312 | 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 | 1 | 0 | 0 | 3 |
8d7d3cfae9931b99e5d8b0a1a5ec0e8e877a6927 | 181 | py | Python | filer/tests.py | digi604/django-filer | cabe6c21c4d23c53df76a8f4d96bf8df9105cf2b | [
"MIT"
] | 1 | 2015-09-28T10:08:03.000Z | 2015-09-28T10:08:03.000Z | filer/tests.py | digi604/django-filer | cabe6c21c4d23c53df76a8f4d96bf8df9105cf2b | [
"MIT"
] | null | null | null | filer/tests.py | digi604/django-filer | cabe6c21c4d23c53df76a8f4d96bf8df9105cf2b | [
"MIT"
] | null | null | null | from django.test import TestCase
class FilerTests(TestCase):
def test_environment(self):
"""Just make sure everything is set up correctly."""
self.assert_(True) | 30.166667 | 60 | 0.701657 | 23 | 181 | 5.434783 | 0.869565 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.20442 | 181 | 6 | 61 | 30.166667 | 0.868056 | 0.254144 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.25 | 1 | 0.25 | false | 0 | 0.25 | 0 | 0.75 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
8d7e1efec572ab2d96ed184d93cd0f1d704078c3 | 135 | py | Python | tests/conftest.py | sixers/bqdf | b2b759fabcb947c3589f296aa1f21ecd67ec86da | [
"MIT"
] | null | null | null | tests/conftest.py | sixers/bqdf | b2b759fabcb947c3589f296aa1f21ecd67ec86da | [
"MIT"
] | null | null | null | tests/conftest.py | sixers/bqdf | b2b759fabcb947c3589f296aa1f21ecd67ec86da | [
"MIT"
] | null | null | null | import pytest
fixture = pytest.fixture
parametrize = pytest.mark.parametrize
pending = pytest.mark.skip(reason="Not implemented yet")
| 22.5 | 56 | 0.8 | 17 | 135 | 6.352941 | 0.647059 | 0.240741 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.103704 | 135 | 5 | 57 | 27 | 0.892562 | 0 | 0 | 0 | 0 | 0 | 0.140741 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.25 | 0 | 1 | 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 | 3 |
8d859862a82bbd128ce7b20b89d0352818b840a9 | 1,245 | py | Python | release/stubs.min/Autodesk/Revit/DB/__init___parts/UnitGroup.py | YKato521/ironpython-stubs | b1f7c580de48528490b3ee5791b04898be95a9ae | [
"MIT"
] | null | null | null | release/stubs.min/Autodesk/Revit/DB/__init___parts/UnitGroup.py | YKato521/ironpython-stubs | b1f7c580de48528490b3ee5791b04898be95a9ae | [
"MIT"
] | null | null | null | release/stubs.min/Autodesk/Revit/DB/__init___parts/UnitGroup.py | YKato521/ironpython-stubs | b1f7c580de48528490b3ee5791b04898be95a9ae | [
"MIT"
] | null | null | null | class UnitGroup(Enum, IComparable, IFormattable, IConvertible):
"""
A group of related unit types,primarily classified by discipline.
enum UnitGroup,values: Common (0),Electrical (3),Energy (5),HVAC (2),Piping (4),Structural (1)
"""
def __eq__(self, *args):
""" x.__eq__(y) <==> x==yx._... | 24.9 | 221 | 0.570281 | 143 | 1,245 | 4.300699 | 0.391608 | 0.130081 | 0.136585 | 0.146341 | 0.209756 | 0.209756 | 0.209756 | 0.18374 | 0.18374 | 0.18374 | 0 | 0.006826 | 0.293976 | 1,245 | 49 | 222 | 25.408163 | 0.692833 | 0.394378 | 0 | 0.357143 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.357143 | false | 0.357143 | 0 | 0 | 0.642857 | 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 | 1 | 0 | 0 | 3 |
a5d7c227370e54734f5867c38798572a43b46f98 | 692 | py | Python | WaltzControl/interface_adapters/tests/test_view_models.py | DaneSpaeth/WaltzControl_refactored | 80aa3e28f1e0709bc7dd9472bc1d841e9b4da9e7 | [
"MIT"
] | null | null | null | WaltzControl/interface_adapters/tests/test_view_models.py | DaneSpaeth/WaltzControl_refactored | 80aa3e28f1e0709bc7dd9472bc1d841e9b4da9e7 | [
"MIT"
] | null | null | null | WaltzControl/interface_adapters/tests/test_view_models.py | DaneSpaeth/WaltzControl_refactored | 80aa3e28f1e0709bc7dd9472bc1d841e9b4da9e7 | [
"MIT"
] | null | null | null | import pytest
from interface_adapters.view_models import PositionViewModel
class TestPositionViewModel():
"""Test PositionViewModel class."""
def setup_method(self):
"""Execute before every test. Create PositionViewModel instance."""
self.pos_view = PositionViewModel()
def test_set_ra... | 34.6 | 75 | 0.660405 | 81 | 692 | 5.518519 | 0.395062 | 0.0783 | 0.123043 | 0.214765 | 0.434004 | 0.279642 | 0.279642 | 0.09396 | 0 | 0 | 0 | 0.044527 | 0.221098 | 692 | 19 | 76 | 36.421053 | 0.781076 | 0.297688 | 0 | 0 | 0 | 0 | 0.077754 | 0 | 0 | 0 | 0 | 0 | 0.181818 | 1 | 0.272727 | false | 0 | 0.181818 | 0 | 0.545455 | 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 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
a5df5346c5b9f3e59f46c88bded5cbf94f6c8e6c | 217 | py | Python | external/netdef_models/netdef_slim/tensorflow/schedules/schedule.py | zhuhu00/MOTSFusion_modify | 190224a7c3fbded69fedf9645a0ebbf08227fb6d | [
"MIT"
] | null | null | null | external/netdef_models/netdef_slim/tensorflow/schedules/schedule.py | zhuhu00/MOTSFusion_modify | 190224a7c3fbded69fedf9645a0ebbf08227fb6d | [
"MIT"
] | null | null | null | external/netdef_models/netdef_slim/tensorflow/schedules/schedule.py | zhuhu00/MOTSFusion_modify | 190224a7c3fbded69fedf9645a0ebbf08227fb6d | [
"MIT"
] | null | null | null | from netdef_slim.schedules.schedule import _Schedule
nothing = None
class Schedule(_Schedule):
def __init__(self, name, base_lr, max_iter, stretch=1.0):
super().__init__(name, base_lr, max_iter, stretch) | 31 | 61 | 0.746544 | 31 | 217 | 4.741935 | 0.677419 | 0.108844 | 0.136054 | 0.176871 | 0.326531 | 0.326531 | 0 | 0 | 0 | 0 | 0 | 0.010811 | 0.147465 | 217 | 7 | 62 | 31 | 0.783784 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0.2 | 0 | 0.6 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 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 | 1 | 0 | 0 | 3 |
a5e7c1a33e1364166061f3b90f9e1b5401e5ec8a | 144 | py | Python | cutter/apps.py | gelerum/cut_and_go | 8c2192d5db806b1136b6527331fe042bab193f98 | [
"MIT"
] | 1 | 2021-12-02T13:47:38.000Z | 2021-12-02T13:47:38.000Z | cutter/apps.py | codegleb/cut_and_go | 8c2192d5db806b1136b6527331fe042bab193f98 | [
"MIT"
] | null | null | null | cutter/apps.py | codegleb/cut_and_go | 8c2192d5db806b1136b6527331fe042bab193f98 | [
"MIT"
] | null | null | null | from django.apps import AppConfig
class CutterConfig(AppConfig):
default_auto_field = 'django.db.models.BigAutoField'
name = 'cutter'
| 20.571429 | 56 | 0.756944 | 17 | 144 | 6.294118 | 0.882353 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.152778 | 144 | 6 | 57 | 24 | 0.877049 | 0 | 0 | 0 | 0 | 0 | 0.243056 | 0.201389 | 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 | 1 | 0 | 0 | 3 |
a5e92a227881ecb4b0631502decd6a696a14415a | 644 | py | Python | src/lib/optimizer.py | judithernandez/hydra_test | 239207afbaee00a27f8d87ac14905dfff3e1c502 | [
"BSD-3-Clause"
] | 4 | 2022-01-27T14:27:23.000Z | 2022-03-08T05:41:13.000Z | src/lib/optimizer.py | judithernandez/hydra_test | 239207afbaee00a27f8d87ac14905dfff3e1c502 | [
"BSD-3-Clause"
] | null | null | null | src/lib/optimizer.py | judithernandez/hydra_test | 239207afbaee00a27f8d87ac14905dfff3e1c502 | [
"BSD-3-Clause"
] | 1 | 2022-01-28T02:42:20.000Z | 2022-01-28T02:42:20.000Z | from dataclasses import dataclass
@dataclass
class Optimizer:
lr: float = 0.02
@dataclass
class Adam(Optimizer):
_target_: str = "torch.optim.Adam"
@dataclass
class SGD(Optimizer):
_target_: str = "torch.optim.SGD"
nesterov: bool = False
momentum: float = 0.9
weight_decay: float = 1e-6
... | 17.888889 | 51 | 0.670807 | 86 | 644 | 4.883721 | 0.418605 | 0.085714 | 0.171429 | 0.164286 | 0.290476 | 0 | 0 | 0 | 0 | 0 | 0 | 0.039761 | 0.218944 | 644 | 35 | 52 | 18.4 | 0.795229 | 0 | 0 | 0.36 | 0 | 0 | 0.122671 | 0.045031 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.04 | 0 | 0.8 | 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 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
57192fd01d778c50168f9a67ebcdd7afde8934c6 | 88 | py | Python | examples/crawler_exmaple.py | gj94gj94ao4/dltracker | 691f4286b5e83c598a611a40cfb83a5dc7c1dea6 | [
"MIT"
] | null | null | null | examples/crawler_exmaple.py | gj94gj94ao4/dltracker | 691f4286b5e83c598a611a40cfb83a5dc7c1dea6 | [
"MIT"
] | null | null | null | examples/crawler_exmaple.py | gj94gj94ao4/dltracker | 691f4286b5e83c598a611a40cfb83a5dc7c1dea6 | [
"MIT"
] | null | null | null | from tracker.crawler import ManiaxCrawler
c = ManiaxCrawler("RJ231054")
c.fetch_work()
| 17.6 | 41 | 0.795455 | 11 | 88 | 6.272727 | 0.818182 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.075949 | 0.102273 | 88 | 4 | 42 | 22 | 0.797468 | 0 | 0 | 0 | 0 | 0 | 0.090909 | 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 | 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 | 3 |
57294911bc01a8f81750cfe2c52705fe4c03626c | 2,218 | py | Python | ansible/host_vars/generate-instances.py | Sirius-ctrl/COMP90024-Project2-Distributed-Twitter-Analyser | 7b19bb3bb995bec981a3d159e5e4e853361341b0 | [
"Apache-2.0"
] | 9 | 2020-08-09T14:31:48.000Z | 2022-03-15T09:41:28.000Z | ansible/host_vars/generate-instances.py | Sirius-ctrl/COMP90024-Project2-Distributed-Twitter-Analyser | 7b19bb3bb995bec981a3d159e5e4e853361341b0 | [
"Apache-2.0"
] | null | null | null | ansible/host_vars/generate-instances.py | Sirius-ctrl/COMP90024-Project2-Distributed-Twitter-Analyser | 7b19bb3bb995bec981a3d159e5e4e853361341b0 | [
"Apache-2.0"
] | 8 | 2020-06-30T12:37:55.000Z | 2022-03-03T11:12:23.000Z | """
Author: XuLin Yang
Student id: 904904
Date: 2020-4-22 16:03:55
Description: generate n instances var
"""
import argparse
def create_instances_file(n_instances: int):
# print("", file=file)
with open("instances.yaml", 'w') as file:
print("---", file=file)
print("# **********... | 41.074074 | 106 | 0.53156 | 255 | 2,218 | 4.501961 | 0.341176 | 0.174216 | 0.226481 | 0.091463 | 0.425087 | 0.275261 | 0.179443 | 0.179443 | 0.114983 | 0.114983 | 0 | 0.022579 | 0.241208 | 2,218 | 53 | 107 | 41.849057 | 0.659537 | 0.093778 | 0 | 0.142857 | 1 | 0 | 0.366817 | 0.14043 | 0 | 0 | 0 | 0 | 0 | 1 | 0.028571 | false | 0 | 0.028571 | 0 | 0.057143 | 0.685714 | 0 | 0 | 0 | null | 0 | 1 | 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 | 0 | 1 | 0 | 3 |
938b80290f8539d0ddfedd0ea80d752e46210696 | 1,078 | py | Python | utils/exceptions/exceptions.py | Partha9318/MIS-Backend | 401fbe736d481c145fd827ea300d065f8cb8417b | [
"MIT"
] | null | null | null | utils/exceptions/exceptions.py | Partha9318/MIS-Backend | 401fbe736d481c145fd827ea300d065f8cb8417b | [
"MIT"
] | null | null | null | utils/exceptions/exceptions.py | Partha9318/MIS-Backend | 401fbe736d481c145fd827ea300d065f8cb8417b | [
"MIT"
] | null | null | null | class EventNotFound(Exception):
"""Handles invalid event type provided to
publishers
Attributes:
event_type --> the event that's invalid
message --> additional message to log or print
"""
def __init__(self, event_type: str, message: str ="invalid event"):
... | 22.458333 | 71 | 0.607607 | 115 | 1,078 | 5.443478 | 0.313043 | 0.140575 | 0.115016 | 0.124601 | 0.492013 | 0.492013 | 0.492013 | 0.436102 | 0.436102 | 0.289137 | 0 | 0 | 0.296846 | 1,078 | 48 | 72 | 22.458333 | 0.825858 | 0.30334 | 0 | 0.5 | 0 | 0 | 0.140187 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.375 | false | 0 | 0 | 0.1875 | 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 | 1 | 1 | 0 | 0 | 3 |
939d7bf64c110ac406e2dc4cb443a9fa6ba23172 | 190 | py | Python | notebook/fido_demo_lru.py | Lin0818/py-study-notebook | 6f70ab9a7fde0d6b46cd65475293e2eef6ef20e7 | [
"Apache-2.0"
] | 1 | 2018-12-12T09:00:27.000Z | 2018-12-12T09:00:27.000Z | notebook/fido_demo_lru.py | Lin0818/py-study-notebook | 6f70ab9a7fde0d6b46cd65475293e2eef6ef20e7 | [
"Apache-2.0"
] | null | null | null | notebook/fido_demo_lru.py | Lin0818/py-study-notebook | 6f70ab9a7fde0d6b46cd65475293e2eef6ef20e7 | [
"Apache-2.0"
] | null | null | null | import functools
from clockdeco import clock
@functools.lru_cache()
@clock
def fibonacci(n):
if n < 2:
return n
return fibonacci(n-2) + fibonacci(n-1)
print(fibonacci(6))
| 15.833333 | 42 | 0.678947 | 28 | 190 | 4.571429 | 0.571429 | 0.234375 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.026667 | 0.210526 | 190 | 11 | 43 | 17.272727 | 0.826667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.222222 | 0 | 0.555556 | 0.111111 | 1 | 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 | 1 | 0 | 0 | 3 |
93aabcdffea50a9b8127c2251fd3c0b40c382351 | 466 | py | Python | Aula-10/ex031.py | matheussantanads/exercicios-python | 3b25db164342e9613f97d2f81ff218a99ab3febe | [
"MIT"
] | 1 | 2020-07-15T02:59:58.000Z | 2020-07-15T02:59:58.000Z | Aula-10/ex031.py | matheussantanads/exercicios-python | 3b25db164342e9613f97d2f81ff218a99ab3febe | [
"MIT"
] | null | null | null | Aula-10/ex031.py | matheussantanads/exercicios-python | 3b25db164342e9613f97d2f81ff218a99ab3febe | [
"MIT"
] | null | null | null | # Curso Python 10
# ---Desafio 31---
# Desenvolva um programa que pergunte a distância de uma viagem em Km. Calcule
# o preço da passagem, cobrando R$0,50 por Km para viagens de até 200Km e
# $0,45 parta viagens mais longas.
dist = float(input('Qual a distância da viagem? '))
if dist <= 200:
print(f'Para a viagem... | 38.833333 | 82 | 0.688841 | 90 | 466 | 3.566667 | 0.533333 | 0.056075 | 0.074766 | 0.149533 | 0.311526 | 0.311526 | 0.311526 | 0.311526 | 0.311526 | 0.311526 | 0 | 0.061008 | 0.190987 | 466 | 11 | 83 | 42.363636 | 0.790451 | 0.461373 | 0 | 0 | 0 | 0.4 | 0.665306 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.4 | 0 | 0 | 0 | 0.4 | 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 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 |
93cd950497d3da841cd0c008219f6816eef4a966 | 578 | py | Python | src/bot/helpers/color_helper.py | rdunc/rybot | ec3bf6159e095b53e69f6f81af9f10739c180b42 | [
"MIT"
] | 1 | 2016-01-11T02:10:05.000Z | 2016-01-11T02:10:05.000Z | src/bot/helpers/color_helper.py | rdunc/RyBot | ec3bf6159e095b53e69f6f81af9f10739c180b42 | [
"MIT"
] | null | null | null | src/bot/helpers/color_helper.py | rdunc/RyBot | ec3bf6159e095b53e69f6f81af9f10739c180b42 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
from colorama import init, Fore, Back, Style
class ColorHelper:
"""Initialize all the things we need."""
def __init__(self, config):
init()
def reset_all():
return Fore.RESET + Style.RESET_ALL
def red():
return Fore.RED + Style.BRIGHT
... | 17.515152 | 45 | 0.569204 | 68 | 578 | 4.75 | 0.441176 | 0.185759 | 0.173375 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002584 | 0.33045 | 578 | 32 | 46 | 18.0625 | 0.832041 | 0.096886 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.4375 | false | 0 | 0.0625 | 0.375 | 0.9375 | 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 | 1 | 0 | 0 | 3 |
93d8e14386ebe5952855f6cb956ad5696836c5a3 | 261 | py | Python | utlily/strategy.py | askeladd12/Binance_bot_tradign | bb7d1a48bf65dcb400fa8196e4092983c4a06cbf | [
"MIT"
] | null | null | null | utlily/strategy.py | askeladd12/Binance_bot_tradign | bb7d1a48bf65dcb400fa8196e4092983c4a06cbf | [
"MIT"
] | null | null | null | utlily/strategy.py | askeladd12/Binance_bot_tradign | bb7d1a48bf65dcb400fa8196e4092983c4a06cbf | [
"MIT"
] | 1 | 2022-03-26T06:45:20.000Z | 2022-03-26T06:45:20.000Z | from finta import TA
class indicators:
def __init__(self, data) -> None:
self.close = data.get('Close')
self.open = data.get('Open')
self.high = data.get('High')
def ema(self):
return TA.EMA(self.close, period=15)
| 21.75 | 44 | 0.582375 | 36 | 261 | 4.111111 | 0.527778 | 0.141892 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.010582 | 0.275862 | 261 | 11 | 45 | 23.727273 | 0.772487 | 0 | 0 | 0 | 0 | 0 | 0.049808 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0.125 | 0.125 | 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 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
93e399dc89dd0323ccf153a061581e427af79f34 | 216 | py | Python | documentation/source/bugReplication/FL_all_ListMutlipleSelection.py | anthrotype/dialogKit | f63226001359bf9044f92c7f87fb3eccc35d9e9e | [
"MIT"
] | 21 | 2015-01-16T05:10:02.000Z | 2021-06-11T20:48:15.000Z | documentation/source/bugReplication/FL_all_ListMutlipleSelection.py | anthrotype/dialogKit | f63226001359bf9044f92c7f87fb3eccc35d9e9e | [
"MIT"
] | 1 | 2019-09-09T12:10:27.000Z | 2020-05-22T10:12:14.000Z | documentation/source/bugReplication/FL_all_ListMutlipleSelection.py | anthrotype/dialogKit | f63226001359bf9044f92c7f87fb3eccc35d9e9e | [
"MIT"
] | 3 | 2015-05-07T19:35:50.000Z | 2016-01-14T02:31:53.000Z | # environment: FontLab
# version: All
# platform: Mac (untested in Windows)
# dialogKit object: List
# description: Multiple selection in the list is not allowed.
# cause: This a limitation of FontLab's Dialog class. | 36 | 61 | 0.763889 | 30 | 216 | 5.5 | 0.9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.157407 | 216 | 6 | 62 | 36 | 0.906593 | 0.944444 | 0 | null | 0 | null | 0 | 0 | null | 0 | 0 | 0 | null | 1 | null | true | 0 | 0 | null | null | null | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
93e815ed23d78877d443a99e02cbb97a70e7cafa | 1,275 | py | Python | search/common/error.py | JinHai-CN/phantoscope | 1148a30bd379691220e46520248f76615f1d86d3 | [
"Apache-2.0"
] | null | null | null | search/common/error.py | JinHai-CN/phantoscope | 1148a30bd379691220e46520248f76615f1d86d3 | [
"Apache-2.0"
] | null | null | null | search/common/error.py | JinHai-CN/phantoscope | 1148a30bd379691220e46520248f76615f1d86d3 | [
"Apache-2.0"
] | null | null | null | class Error(Exception):
def __init__(self, message, error):
self.message = message
self.error = error
@property
def code(self):
return 503
@property
def name(self):
return self.__class__.__name__
@property
def description(self):
return self.message
... | 15 | 39 | 0.649412 | 134 | 1,275 | 6.089552 | 0.246269 | 0.134804 | 0.154412 | 0.196078 | 0.334559 | 0.334559 | 0.261029 | 0.139706 | 0 | 0 | 0 | 0.027927 | 0.269804 | 1,275 | 84 | 40 | 15.178571 | 0.84855 | 0 | 0 | 0.559322 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.186441 | false | 0.152542 | 0.016949 | 0.169492 | 0.661017 | 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 | 1 | 0 | 1 | 0 | 0 | 0 | 3 |
9e20244b92ef8895e9449f43f39b44cf947b8eeb | 477 | py | Python | Python code/QPA with SSL/ClientSSL.py | wsherry/QuantumPasswordAuthentication | 682751d28c3fdcd1166749621cbb0e9db5fc169c | [
"MIT"
] | 1 | 2021-10-21T21:56:31.000Z | 2021-10-21T21:56:31.000Z | Python code/QPA with SSL/ClientSSL.py | wsherry/QuantumPasswordAuthentication | 682751d28c3fdcd1166749621cbb0e9db5fc169c | [
"MIT"
] | null | null | null | Python code/QPA with SSL/ClientSSL.py | wsherry/QuantumPasswordAuthentication | 682751d28c3fdcd1166749621cbb0e9db5fc169c | [
"MIT"
] | 1 | 2022-02-03T22:42:43.000Z | 2022-02-03T22:42:43.000Z | from EntitySSL import EntitySSL
import oqs
class ClientSSL(EntitySSL):
def __init__(self, kemalg="FrodoKEM-1344-AES"):
self.client = oqs.KeyEncapsulation(kemalg)
def generate_AES_key(self, public_key):
"""Generates an encrypted AES key using a public key for establishing secure communication w... | 36.692308 | 120 | 0.733753 | 60 | 477 | 5.633333 | 0.583333 | 0.053254 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.01039 | 0.192872 | 477 | 12 | 121 | 39.75 | 0.867532 | 0.222222 | 0 | 0 | 1 | 0 | 0.046575 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.222222 | false | 0 | 0.222222 | 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 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
f507cb1fdfd1abf16b30c9f962d39be43dbaf004 | 901 | py | Python | schemas/user.py | apoveda25/graphql-python-server | eb7b911aa1116327120b857beb17da3e30523e74 | [
"Apache-2.0"
] | 4 | 2020-06-20T11:54:04.000Z | 2021-09-07T11:41:32.000Z | schemas/user.py | apoveda25/graphql-python-server | eb7b911aa1116327120b857beb17da3e30523e74 | [
"Apache-2.0"
] | null | null | null | schemas/user.py | apoveda25/graphql-python-server | eb7b911aa1116327120b857beb17da3e30523e74 | [
"Apache-2.0"
] | null | null | null | from pydantic import BaseModel, EmailStr, constr, validator
from datetime import datetime as dt
from schemas.helpers.regex import datetime as regex_dt
class UserCreate(BaseModel):
key: str = None
email: EmailStr
active: bool
username: str
password: str
first_name: str = ""
last_name: str =... | 25.027778 | 61 | 0.645949 | 117 | 901 | 4.820513 | 0.384615 | 0.028369 | 0.053191 | 0.058511 | 0.267731 | 0.267731 | 0.223404 | 0.120567 | 0 | 0 | 0 | 0 | 0.240844 | 901 | 35 | 62 | 25.742857 | 0.824561 | 0.034406 | 0 | 0.107143 | 0 | 0 | 0.040323 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0.107143 | 0.107143 | 0.142857 | 0.857143 | 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 | 1 | 1 | 0 | 0 | 3 |
f544de48788a332ddeaeda1e2695d76717f25ae9 | 10,449 | py | Python | pybench/Unicode.py | haypo/pymicrobench | 7c6b92deaf5cf0c3fc965fcfcbc6a78f7d0d10f4 | [
"MIT"
] | 3 | 2018-01-17T18:45:23.000Z | 2020-10-02T06:26:03.000Z | pybench/Unicode.py | vstinner/pymicrobench | 7c6b92deaf5cf0c3fc965fcfcbc6a78f7d0d10f4 | [
"MIT"
] | null | null | null | pybench/Unicode.py | vstinner/pymicrobench | 7c6b92deaf5cf0c3fc965fcfcbc6a78f7d0d10f4 | [
"MIT"
] | 4 | 2018-01-17T18:45:23.000Z | 2020-10-08T15:24:51.000Z | import pyperf
import six
from six import unichr
from six.moves import xrange
from pybench import Test
if six.PY2:
# On Python 2, unicode support is optional
try:
unicode
except NameError:
raise ImportError
else:
unicode = str
class ConcatUnicode(Test):
version = 2.0
operatio... | 20.210832 | 78 | 0.345009 | 1,169 | 10,449 | 3.047049 | 0.102652 | 0.056148 | 0.082538 | 0.110051 | 0.769792 | 0.711679 | 0.656373 | 0.628018 | 0.611454 | 0.59461 | 0 | 0.039596 | 0.545602 | 10,449 | 516 | 79 | 20.25 | 0.710615 | 0.013111 | 0 | 0.877451 | 0 | 0 | 0.019404 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.017157 | false | 0.002451 | 0.019608 | 0 | 0.120098 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
f56a2e17b04d43511656846620fb010e3ea8afe9 | 237 | py | Python | snake.py | EstudoUdacityAAS/nanodegree-data-science-1 | 4db01b0dce4514a8d16bbc22150372d1d9ab2a4e | [
"Apache-2.0"
] | null | null | null | snake.py | EstudoUdacityAAS/nanodegree-data-science-1 | 4db01b0dce4514a8d16bbc22150372d1d9ab2a4e | [
"Apache-2.0"
] | null | null | null | snake.py | EstudoUdacityAAS/nanodegree-data-science-1 | 4db01b0dce4514a8d16bbc22150372d1d9ab2a4e | [
"Apache-2.0"
] | null | null | null | how_many_snakes = 1
snake_string = """
Bem-vindo ao Python3!
____
/ . .\\
\ ---<
\ /
__________/ /
-=:___________/
<3, Philip e Charlie
"""
print(snake_string * how_many_snakes)
| 13.941176 | 37 | 0.493671 | 20 | 237 | 4.3 | 0.75 | 0.162791 | 0.302326 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.02 | 0.367089 | 237 | 16 | 38 | 14.8125 | 0.553333 | 0 | 0 | 0 | 0 | 0 | 0.654008 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.083333 | 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 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
f58e6148d7d6b4f777d53189a0b54639d489aff7 | 442 | py | Python | raytracer/scene.py | spl0k/raytracer | fdf518c6510a75bcbf05948affa49b86b8325837 | [
"MIT"
] | null | null | null | raytracer/scene.py | spl0k/raytracer | fdf518c6510a75bcbf05948affa49b86b8325837 | [
"MIT"
] | null | null | null | raytracer/scene.py | spl0k/raytracer | fdf518c6510a75bcbf05948affa49b86b8325837 | [
"MIT"
] | null | null | null | from dataclasses import dataclass, field
from typing import List, TYPE_CHECKING
from .math.color import Color
from .camera import Camera
from .light import Light
from .renderable.renderable import Renderable
@dataclass
class Scene:
cameras: List[Camera]
lights: List[Light]
objects: List[Rend... | 26 | 57 | 0.71267 | 59 | 442 | 5.322034 | 0.40678 | 0.025478 | 0.10828 | 0.140127 | 0.165605 | 0.165605 | 0.165605 | 0.165605 | 0 | 0 | 0 | 0.022599 | 0.199095 | 442 | 16 | 58 | 27.625 | 0.864407 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.461538 | 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 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
190fd467ef35662f7fd98743d6679ec13751d428 | 268 | py | Python | activemri/experimental/cvpr19_models/__init__.py | qinliuliuqin/active-mri-acquisition | b561f838667f4bc7753b1f89dfbdd545d0f00ada | [
"MIT"
] | 32 | 2020-10-05T19:46:56.000Z | 2022-02-15T10:37:13.000Z | activemri/experimental/cvpr19_models/__init__.py | qinliuliuqin/active-mri-acquisition | b561f838667f4bc7753b1f89dfbdd545d0f00ada | [
"MIT"
] | 2 | 2020-12-28T21:05:57.000Z | 2022-01-22T17:56:50.000Z | activemri/experimental/cvpr19_models/__init__.py | qinliuliuqin/active-mri-acquisition | b561f838667f4bc7753b1f89dfbdd545d0f00ada | [
"MIT"
] | 9 | 2020-11-22T18:15:04.000Z | 2022-02-11T06:07:38.000Z | # 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 . import data, models, options, util
__all__ = ["data", "models", "options", "util"]
| 29.777778 | 65 | 0.720149 | 40 | 268 | 4.725 | 0.75 | 0.10582 | 0.179894 | 0.222222 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.179104 | 268 | 8 | 66 | 33.5 | 0.859091 | 0.626866 | 0 | 0 | 0 | 0 | 0.21875 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.5 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 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 | 3 |
192683d9285b1517c1d607507af1ffd4cd39ea7d | 464 | py | Python | 3_spotify_playlists/booleanize.py | djsegal/metis | 54b84108a58d3e95679b519eb361e6916a693709 | [
"MIT"
] | 1 | 2020-06-22T12:21:15.000Z | 2020-06-22T12:21:15.000Z | X_airbnb_revisited/airbnb_pricer/utils/booleanize.py | djsegal/metis | 54b84108a58d3e95679b519eb361e6916a693709 | [
"MIT"
] | null | null | null | X_airbnb_revisited/airbnb_pricer/utils/booleanize.py | djsegal/metis | 54b84108a58d3e95679b519eb361e6916a693709 | [
"MIT"
] | null | null | null | import numpy as np
def booleanize(tokamak_data):
for cur_col in tokamak_data.columns:
sub_data = tokamak_data[cur_col]
if sorted(np.unique(sub_data)) != [0, 1]: continue
tokamak_data[cur_col] = list(
map(bool, sub_data)
)
def unbooleanize(tokamak_data):
for cur_col in tokamak_data.columns:
... | 23.2 | 54 | 0.6875 | 71 | 464 | 4.211268 | 0.366197 | 0.294314 | 0.187291 | 0.227425 | 0.655518 | 0.655518 | 0.655518 | 0.441472 | 0.441472 | 0.441472 | 0 | 0.005464 | 0.211207 | 464 | 19 | 55 | 24.421053 | 0.811475 | 0 | 0 | 0.4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.133333 | false | 0 | 0.066667 | 0 | 0.2 | 0 | 0 | 0 | 0 | null | 1 | 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 | 3 |
1958478258605bb9a540ff5f0f75a09e6b46fe1a | 165 | py | Python | data-tool/flows/common/query_utils.py | leksmall/lear | cc7d75be830d12bfcc33b89bb2c4f34795bcd518 | [
"Apache-2.0"
] | null | null | null | data-tool/flows/common/query_utils.py | leksmall/lear | cc7d75be830d12bfcc33b89bb2c4f34795bcd518 | [
"Apache-2.0"
] | null | null | null | data-tool/flows/common/query_utils.py | leksmall/lear | cc7d75be830d12bfcc33b89bb2c4f34795bcd518 | [
"Apache-2.0"
] | null | null | null | import pandas as pd
def convert_result_set_to_dict(rs):
df = pd.DataFrame(rs, columns=rs.keys())
result_dict = df.to_dict('records')
return result_dict
| 23.571429 | 44 | 0.721212 | 27 | 165 | 4.148148 | 0.62963 | 0.107143 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.169697 | 165 | 6 | 45 | 27.5 | 0.817518 | 0 | 0 | 0 | 0 | 0 | 0.042424 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0.2 | 0 | 0.6 | 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 | 1 | 0 | 0 | 3 |
196e26484b8f040ea4a016a0807f721c17c330ff | 4,996 | py | Python | pyaz/sf/managed_cluster/__init__.py | py-az-cli/py-az-cli | 9a7dc44e360c096a5a2f15595353e9dad88a9792 | [
"MIT"
] | null | null | null | pyaz/sf/managed_cluster/__init__.py | py-az-cli/py-az-cli | 9a7dc44e360c096a5a2f15595353e9dad88a9792 | [
"MIT"
] | null | null | null | pyaz/sf/managed_cluster/__init__.py | py-az-cli/py-az-cli | 9a7dc44e360c096a5a2f15595353e9dad88a9792 | [
"MIT"
] | 1 | 2022-02-03T09:12:01.000Z | 2022-02-03T09:12:01.000Z | from ... pyaz_utils import _call_az
from . import client_certificate
def list(resource_group=None):
'''
List managed clusters.
Optional Parameters:
- resource_group -- Specify the resource group name. You can configure the default group using `az configure --defaults group=<name>`
'''
return ... | 61.679012 | 496 | 0.753203 | 710 | 4,996 | 5.167606 | 0.197183 | 0.067321 | 0.041701 | 0.029436 | 0.585446 | 0.565004 | 0.541837 | 0.541837 | 0.520033 | 0.508858 | 0 | 0.002184 | 0.17534 | 4,996 | 80 | 497 | 62.45 | 0.88835 | 0.747198 | 0 | 0 | 0 | 0 | 0.130019 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.416667 | false | 0.083333 | 0.166667 | 0 | 1 | 0.083333 | 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 | 1 | 0 | 0 | 3 |
19781ce20cf5f747b90789f3e4f26e791d378c1c | 31,435 | py | Python | Creator/tegar_dec.py | shyamjangid07/Reverse-Engineering | 469efabcd6057f7895d8d891f1fabdf2ffe730b0 | [
"Apache-2.0"
] | 337 | 2020-08-15T12:22:14.000Z | 2022-03-29T06:05:15.000Z | Creator/tegar_dec.py | Wh014M/Reverse-Engineering | f7aae2c43f7ea4a6730964d085c07814b6660a53 | [
"Apache-2.0"
] | 3 | 2020-11-12T14:30:48.000Z | 2021-05-18T16:56:22.000Z | Creator/tegar_dec.py | Wh014M/Reverse-Engineering | f7aae2c43f7ea4a6730964d085c07814b6660a53 | [
"Apache-2.0"
] | 83 | 2020-08-15T00:22:58.000Z | 2022-03-31T08:40:23.000Z | # Decompiled by HTR-TECH | TAHMID RAYAT
# Github : https://github.com/htr-tech
#---------------------------------------
# Auto Dis Parser 2.2.0
# Source File : tegar.py
# Time : Sun Aug 9 11:07:58 2020
#---------------------------------------
#!usr/bin/python2.7
# -*- coding: UTF-8 -*-
# Hayo mau ngapain
# Jangan di ... | 33.873922 | 1,178 | 0.481183 | 4,222 | 31,435 | 4.216485 | 0.147797 | 0.046849 | 0.012358 | 0.013145 | 0.643804 | 0.60892 | 0.593248 | 0.580272 | 0.552354 | 0.521739 | 0 | 0.042821 | 0.25338 | 31,435 | 927 | 1,179 | 33.910464 | 0.597614 | 0.01457 | 0 | 0.572438 | 0 | 0.022379 | 0.710976 | 0.070115 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0.020024 | 0.012956 | null | null | 0.281508 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
197c27f0790d8f29442b7e852261c745d95e5592 | 373 | py | Python | relretrieval/BREDS/Seed.py | knowledge-retrieval/relretrieval | bb9df83bcc4d96623a4e4309d43d0552207552ad | [
"MIT"
] | null | null | null | relretrieval/BREDS/Seed.py | knowledge-retrieval/relretrieval | bb9df83bcc4d96623a4e4309d43d0552207552ad | [
"MIT"
] | null | null | null | relretrieval/BREDS/Seed.py | knowledge-retrieval/relretrieval | bb9df83bcc4d96623a4e4309d43d0552207552ad | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
__author__ = "David S. Batista"
__email__ = "dsbatista@inesc-id.pt"
class Seed(object):
def __init__(self, _e1, _e2):
self.e1 = _e1
self.e2 = _e2
def __hash__(self):
return hash(self.e1) ^ hash(self.e2)
def __eq__(self, other):
... | 21.941176 | 58 | 0.597855 | 54 | 373 | 3.685185 | 0.537037 | 0.120603 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.046263 | 0.246649 | 373 | 17 | 58 | 21.941176 | 0.661922 | 0.112601 | 0 | 0 | 0 | 0 | 0.112121 | 0.063636 | 0 | 0 | 0 | 0 | 0 | 1 | 0.3 | false | 0 | 0 | 0.2 | 0.6 | 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 | 1 | 0 | 0 | 3 |
198607942cbec91f90a5251a04748bfcd45cf56d | 224 | py | Python | overrides/__init__.py | brentyi/overrides | 59af886a60236a9a71b60c982bf41dfc6419231c | [
"Apache-2.0"
] | 197 | 2015-05-23T13:51:47.000Z | 2022-03-25T07:14:00.000Z | overrides/__init__.py | brentyi/overrides | 59af886a60236a9a71b60c982bf41dfc6419231c | [
"Apache-2.0"
] | 78 | 2015-05-25T20:00:22.000Z | 2022-03-21T21:50:24.000Z | overrides/__init__.py | brentyi/overrides | 59af886a60236a9a71b60c982bf41dfc6419231c | [
"Apache-2.0"
] | 33 | 2015-05-28T14:14:38.000Z | 2021-04-29T08:01:45.000Z | from overrides.enforce import EnforceOverrides
from overrides.final import final
from overrides.overrides import __VERSION__, overrides
__all__ = [
"__VERSION__",
"overrides",
"final",
"EnforceOverrides",
]
| 20.363636 | 54 | 0.745536 | 21 | 224 | 7.380952 | 0.380952 | 0.251613 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.169643 | 224 | 10 | 55 | 22.4 | 0.833333 | 0 | 0 | 0 | 0 | 0 | 0.183036 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 0.333333 | 0 | 1 | 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 | 1 | 0 | 0 | 0 | 0 | 3 |
5ffe944be9ce9c2094361f774e0e026ae25b9569 | 339 | py | Python | tests/test_css.py | zostera/django-bootstrap | 3ccccd1a781afd2c160b97ae3d15f6f715901991 | [
"BSD-3-Clause"
] | 2 | 2021-10-05T14:07:16.000Z | 2021-10-08T12:56:11.000Z | tests/test_css.py | zostera/django-bootstrap | 3ccccd1a781afd2c160b97ae3d15f6f715901991 | [
"BSD-3-Clause"
] | 84 | 2021-02-17T06:58:37.000Z | 2022-03-31T23:07:27.000Z | tests/test_css.py | zostera/django-bootstrap | 3ccccd1a781afd2c160b97ae3d15f6f715901991 | [
"BSD-3-Clause"
] | null | null | null | from django.test import TestCase
from django_bootstrap.css import merge_css_classes
class CssTest(TestCase):
"""Test CSS functions."""
def test_merge_css_classes(self):
self.assertEqual("", merge_css_classes())
self.assertEqual("", merge_css_classes(""))
self.assertEqual("", merge_cs... | 26.076923 | 55 | 0.693215 | 40 | 339 | 5.575 | 0.375 | 0.179372 | 0.336323 | 0.255605 | 0.403587 | 0.403587 | 0.403587 | 0.403587 | 0.403587 | 0.403587 | 0 | 0 | 0.171091 | 339 | 12 | 56 | 28.25 | 0.793594 | 0.056047 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.428571 | 1 | 0.142857 | false | 0 | 0.285714 | 0 | 0.571429 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
2706819b1900d5480ea950f6363b998984534291 | 197 | py | Python | hmm/tests/utils.py | ondrejba/hmm | 1e9fe47a6057d93e7c77614016a89d5d46959e97 | [
"MIT"
] | null | null | null | hmm/tests/utils.py | ondrejba/hmm | 1e9fe47a6057d93e7c77614016a89d5d46959e97 | [
"MIT"
] | null | null | null | hmm/tests/utils.py | ondrejba/hmm | 1e9fe47a6057d93e7c77614016a89d5d46959e97 | [
"MIT"
] | null | null | null | def get_tensor_shape(tensor):
shape = []
for s in tensor.shape:
if s is None:
shape.append(s)
else:
shape.append(s.value)
return tuple(shape)
| 16.416667 | 33 | 0.532995 | 26 | 197 | 3.961538 | 0.576923 | 0.320388 | 0.23301 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.370558 | 197 | 11 | 34 | 17.909091 | 0.830645 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0 | 0 | 0.25 | 0 | 1 | 0 | 0 | null | 1 | 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 | 3 |
271d09b32ad8b7af839f41a8b4f8d9d7157b455b | 1,531 | py | Python | ambbot/Lib/site-packages/instaloader/exceptions.py | DouglasCarvalhoPereira/bot-instagram | 6cb65d22ed4e78e7de4d1800fe462d7577ecf4f6 | [
"MIT"
] | 4,170 | 2018-03-13T22:46:38.000Z | 2022-03-31T03:06:36.000Z | Lib/site-packages/instaloader/exceptions.py | sauravhathi/InstaPicVid_Downloader | 4fbbd3c0d74ce2689404bfa54cf613b409f411a2 | [
"MIT"
] | 1,372 | 2018-03-13T15:05:41.000Z | 2022-03-31T22:25:09.000Z | Lib/site-packages/instaloader/exceptions.py | sauravhathi/InstaPicVid_Downloader | 4fbbd3c0d74ce2689404bfa54cf613b409f411a2 | [
"MIT"
] | 810 | 2018-03-13T21:22:05.000Z | 2022-03-30T13:36:07.000Z | class InstaloaderException(Exception):
"""Base exception for this script.
:note: This exception should not be raised directly."""
pass
class QueryReturnedBadRequestException(InstaloaderException):
pass
class QueryReturnedForbiddenException(InstaloaderException):
pass
class ProfileNotExistsExc... | 18.901235 | 98 | 0.760941 | 122 | 1,531 | 9.54918 | 0.42623 | 0.123605 | 0.27382 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006309 | 0.171783 | 1,531 | 80 | 99 | 19.1375 | 0.912461 | 0.228609 | 0 | 0.5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.5 | 0 | 0 | 0.5 | 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 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 |
271df98b309b715bc264fe520249627ca1063312 | 30 | py | Python | simulation/__init__.py | tmsquill/grove | afe2d6ff35a2db7d8cb1e3ff7e5a0e3b29f369f7 | [
"MIT"
] | 1 | 2016-11-23T16:59:01.000Z | 2016-11-23T16:59:01.000Z | simulation/__init__.py | zivia/grove | afe2d6ff35a2db7d8cb1e3ff7e5a0e3b29f369f7 | [
"MIT"
] | 1 | 2020-04-26T19:28:42.000Z | 2020-04-26T19:28:42.000Z | simulation/__init__.py | zivia/grove | afe2d6ff35a2db7d8cb1e3ff7e5a0e3b29f369f7 | [
"MIT"
] | null | null | null | __author__ = 'Troy Squillaci'
| 15 | 29 | 0.766667 | 3 | 30 | 6.333333 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.133333 | 30 | 1 | 30 | 30 | 0.730769 | 0 | 0 | 0 | 0 | 0 | 0.466667 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 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 | 3 |
27267645716a16fcb3c7e2b0f33f2b8205f8891f | 10,309 | py | Python | tests/card_stack_test.py | the-gigi/dominion | 2bccad2e51a574c881372d32819e2e3049d93e78 | [
"MIT"
] | 2 | 2020-04-16T03:21:25.000Z | 2022-01-15T18:24:08.000Z | tests/card_stack_test.py | the-gigi/dominion | 2bccad2e51a574c881372d32819e2e3049d93e78 | [
"MIT"
] | 36 | 2020-07-03T04:42:50.000Z | 2020-07-05T18:30:57.000Z | tests/card_stack_test.py | the-gigi/dominion | 2bccad2e51a574c881372d32819e2e3049d93e78 | [
"MIT"
] | null | null | null | import unittest
from dominion_game_engine.card_stack import CardStack
from dominion_game_engine.cards import *
class TestGame(unittest.TestCase):
def test_shuffle(self):
"""For each test case:
1. create card stack
2. call shuffle() multiple times
3. check it was shuffled correctly... | 35.795139 | 95 | 0.61199 | 1,348 | 10,309 | 4.550445 | 0.077151 | 0.179002 | 0.102706 | 0.041082 | 0.7985 | 0.762471 | 0.723508 | 0.692696 | 0.678676 | 0.659276 | 0 | 0.00827 | 0.296246 | 10,309 | 287 | 96 | 35.919861 | 0.837216 | 0.261034 | 0 | 0.66443 | 0 | 0 | 0.001137 | 0 | 0 | 0 | 0 | 0 | 0.395973 | 1 | 0.026846 | false | 0 | 0.020134 | 0 | 0.053691 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 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 | 3 |
2750b39679739a76c34d2d57d4f326d1897194a8 | 217 | py | Python | hutch_python/tests/experiments/x010.py | klauer/hutch-python | 0bfc618c2af9ac69d74f6ad9f92e28c1290aefc0 | [
"BSD-3-Clause-LBNL"
] | null | null | null | hutch_python/tests/experiments/x010.py | klauer/hutch-python | 0bfc618c2af9ac69d74f6ad9f92e28c1290aefc0 | [
"BSD-3-Clause-LBNL"
] | 282 | 2017-12-08T19:55:40.000Z | 2022-03-31T22:56:46.000Z | hutch_python/tests/experiments/x010.py | klauer/hutch-python | 0bfc618c2af9ac69d74f6ad9f92e28c1290aefc0 | [
"BSD-3-Clause-LBNL"
] | 11 | 2018-01-12T21:57:02.000Z | 2020-11-26T00:29:34.000Z | from tst.db import calc_thing, tst_device_1, tst_device_2
from tst.beamline import unique_device
class User:
some_device = unique_device
function = calc_thing
tst1 = tst_device_1
tst2 = tst_device_2
| 21.7 | 57 | 0.764977 | 35 | 217 | 4.371429 | 0.485714 | 0.235294 | 0.130719 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.034286 | 0.193548 | 217 | 9 | 58 | 24.111111 | 0.84 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.285714 | 0 | 1 | 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 | 1 | 0 | 0 | 3 |
275d330dda0e0c5d1c440e62938bb10ba7a6bc7a | 278 | py | Python | DFS_NBA_Team_Builder/DFS_NBA_Team_Builder/__init__.py | Blex42/DFS_NBA_Team_Builder | 626f88287dff05188b0c94b20ff29e1e9bbde166 | [
"MIT"
] | 10 | 2019-02-18T18:11:00.000Z | 2022-02-11T18:56:51.000Z | DFS_NBA_Team_Builder/DFS_NBA_Team_Builder/__init__.py | Blex42/DFS_NBA_Team_Builder | 626f88287dff05188b0c94b20ff29e1e9bbde166 | [
"MIT"
] | null | null | null | DFS_NBA_Team_Builder/DFS_NBA_Team_Builder/__init__.py | Blex42/DFS_NBA_Team_Builder | 626f88287dff05188b0c94b20ff29e1e9bbde166 | [
"MIT"
] | 3 | 2020-01-24T02:08:19.000Z | 2021-02-15T04:45:02.000Z | #Data
import pandas as pd
import numpy as np
#Date
import datetime as dt
#Stats
from statistics import mean, median
###Optimizepackage
import pulp
#Packagefile
#from DK_TeamBuilder import DK_TeamBuildermod
#from DK_Optimization_Function import teamoptmizer | 17.375 | 50 | 0.773381 | 36 | 278 | 5.861111 | 0.666667 | 0.056872 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.190647 | 278 | 16 | 50 | 17.375 | 0.937778 | 0.47482 | 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 | 1 | 0 | 0 | 3 |
2770ad535affee47b3f26e859f662148dedb003d | 267 | py | Python | setup.py | fraco-oxza/classgo | e18df1c32ddaf7d8633f00f68f0fe8440c72cf11 | [
"MIT"
] | null | null | null | setup.py | fraco-oxza/classgo | e18df1c32ddaf7d8633f00f68f0fe8440c72cf11 | [
"MIT"
] | 1 | 2022-02-21T18:05:07.000Z | 2022-02-21T18:05:07.000Z | setup.py | fraco-oxza/classgo | e18df1c32ddaf7d8633f00f68f0fe8440c72cf11 | [
"MIT"
] | null | null | null | from setuptools import setup
from setuptools import find_packages
setup(
package=find_packages(),
include_packages_data=True,
install_requires=[
"click"],
entry_points="""
[console_scripts]
class=class_go.scripts:cli
"""
) | 20.538462 | 36 | 0.670412 | 29 | 267 | 5.896552 | 0.689655 | 0.163743 | 0.233918 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.23221 | 267 | 13 | 37 | 20.538462 | 0.834146 | 0 | 0 | 0 | 0 | 0 | 0.264925 | 0.097015 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.166667 | 0 | 0.166667 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
278d512046f01326e868a530d2cdb317d3c379e4 | 159 | py | Python | jiebaWebApi/urls.py | UDICatNCHU/JiebaWebApi | 6cb37562fee9e5863dfb778cda71e3c150bf4d56 | [
"MIT"
] | 1 | 2019-03-22T09:01:41.000Z | 2019-03-22T09:01:41.000Z | jiebaWebApi/urls.py | UDICatNCHU/JiebaWebApi | 6cb37562fee9e5863dfb778cda71e3c150bf4d56 | [
"MIT"
] | null | null | null | jiebaWebApi/urls.py | UDICatNCHU/JiebaWebApi | 6cb37562fee9e5863dfb778cda71e3c150bf4d56 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from django.conf.urls import url
from jiebaWebApi import views
urlpatterns = [
url(r'^cut$', views.cut),
url(r'^pos$', views.pos),
]
| 19.875 | 32 | 0.654088 | 24 | 159 | 4.333333 | 0.625 | 0.076923 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007353 | 0.144654 | 159 | 7 | 33 | 22.714286 | 0.757353 | 0.132075 | 0 | 0 | 0 | 0 | 0.073529 | 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 | 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 | 3 |
2791227183fc916516509ae0ae412042c175f688 | 406 | py | Python | sorting/selection_sort.py | Oyekunle-Mark/tangled-mystery | ae789d5b05a4791594427f23d52249af81748ff4 | [
"MIT"
] | null | null | null | sorting/selection_sort.py | Oyekunle-Mark/tangled-mystery | ae789d5b05a4791594427f23d52249af81748ff4 | [
"MIT"
] | null | null | null | sorting/selection_sort.py | Oyekunle-Mark/tangled-mystery | ae789d5b05a4791594427f23d52249af81748ff4 | [
"MIT"
] | 1 | 2021-09-03T16:17:47.000Z | 2021-09-03T16:17:47.000Z | from typing import List
def selection_sort(arr: List[int]) -> List[int]:
for i in range(0, len(arr) - 1):
current_index = i
smallest_index = i
for j in range(current_index + 1, len(arr)):
if arr[smallest_index] > arr[j]:
smallest_index = j
arr[current_... | 25.375 | 89 | 0.605911 | 58 | 406 | 4.068966 | 0.37931 | 0.275424 | 0.20339 | 0.241525 | 0.169492 | 0 | 0 | 0 | 0 | 0 | 0 | 0.010345 | 0.285714 | 406 | 15 | 90 | 27.066667 | 0.803448 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.1 | 0 | 0.3 | 0 | 0 | 0 | 0 | null | 1 | 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 | 3 |
27956958a87181de522c919f05d513bd4012990f | 622 | py | Python | prxgt/domain/filter/function.py | praxigento/teq_test_db_schema_attrs | 20ec030dc095c644d22631491e066697203d983d | [
"MIT"
] | null | null | null | prxgt/domain/filter/function.py | praxigento/teq_test_db_schema_attrs | 20ec030dc095c644d22631491e066697203d983d | [
"MIT"
] | null | null | null | prxgt/domain/filter/function.py | praxigento/teq_test_db_schema_attrs | 20ec030dc095c644d22631491e066697203d983d | [
"MIT"
] | null | null | null | __author__ = 'Alex Gusev <alex@flancer64.com>'
"""
Функция состоит из имени и количества параметров к обработке.
"""
class Function(object):
def __init__(self, name, args_count=2):
self._name = name
self._args_count = args_count
@property
def name(self):
return self._name
@na... | 21.448276 | 61 | 0.631833 | 81 | 622 | 4.518519 | 0.37037 | 0.221311 | 0.142077 | 0.092896 | 0.120219 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006522 | 0.26045 | 622 | 29 | 62 | 21.448276 | 0.78913 | 0 | 0 | 0.105263 | 0 | 0 | 0.057762 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.315789 | false | 0 | 0 | 0.157895 | 0.526316 | 0 | 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 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 |
27a513a23b5dd1f9d173d42360d60a03afafb444 | 826 | py | Python | 3/q1_adaboost_python/adaboostLSLC.py | danikhani/ML-I_WS2020 | e96555f3993b48511249d1677b39ae4e589e7bdb | [
"MIT"
] | null | null | null | 3/q1_adaboost_python/adaboostLSLC.py | danikhani/ML-I_WS2020 | e96555f3993b48511249d1677b39ae4e589e7bdb | [
"MIT"
] | null | null | null | 3/q1_adaboost_python/adaboostLSLC.py | danikhani/ML-I_WS2020 | e96555f3993b48511249d1677b39ae4e589e7bdb | [
"MIT"
] | null | null | null | import numpy as np
from numpy.random import choice
from leastSquares import leastSquares
def adaboostLSLC(X, Y, K, nSamples):
# Adaboost with least squares linear classifier as weak classifier
# for a D-dim dataset
#
# INPUT:
# X : the dataset (numSamples x numDim)
# Y : labelin... | 34.416667 | 85 | 0.615012 | 107 | 826 | 4.747664 | 0.588785 | 0.047244 | 0.019685 | 0.031496 | 0.059055 | 0 | 0 | 0 | 0 | 0 | 0 | 0.013865 | 0.301453 | 826 | 23 | 86 | 35.913043 | 0.866551 | 0.691283 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.043478 | 0 | 1 | 0.2 | false | 0 | 0.6 | 0.2 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 3 |
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