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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
941d9b499a6419a8999fa8b0994ace927c93a432 | 445 | py | Python | 1. Transcricao/transcricao.py | Francisco-Jair/Bioinformatica | 34aed452eb5470a4556f8c4ebaccbf1a6c1a6720 | [
"MIT"
] | 1 | 2022-02-22T12:48:25.000Z | 2022-02-22T12:48:25.000Z | 1. Transcricao/transcricao.py | Francisco-Jair/bioinformatica | 34aed452eb5470a4556f8c4ebaccbf1a6c1a6720 | [
"MIT"
] | null | null | null | 1. Transcricao/transcricao.py | Francisco-Jair/bioinformatica | 34aed452eb5470a4556f8c4ebaccbf1a6c1a6720 | [
"MIT"
] | null | null | null | dna = open('dna.txt','r')
date = dna.readline()
rna = ""
for i in date:
if i == 'T':
rna+="A"
elif i == 'G':
rna +="C"
elif i == 'C':
rna+="G"
elif i == "A":
rna+="U"
saveRna = open('rna.txt', 'w')
saveRna.write(rna)
saveRna.close()
"""
No DNA temos as bases
T - A
... | 12.714286 | 53 | 0.51236 | dna = open('dna.txt','r')
date = dna.readline()
rna = ""
for i in date:
if i == 'T':
rna+="A"
elif i == 'G':
rna +="C"
elif i == 'C':
rna+="G"
elif i == "A":
rna+="U"
saveRna = open('rna.txt', 'w')
saveRna.write(rna)
saveRna.close()
"""
No DNA temos as bases
T - A
... | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
81cb32138e038912dc915c7664f5d98d6841a538 | 561 | py | Python | ball.py | dynamicPilot/ball_game | c3935415be18f45780e9e68d71669bbdce290774 | [
"MIT"
] | null | null | null | ball.py | dynamicPilot/ball_game | c3935415be18f45780e9e68d71669bbdce290774 | [
"MIT"
] | null | null | null | ball.py | dynamicPilot/ball_game | c3935415be18f45780e9e68d71669bbdce290774 | [
"MIT"
] | null | null | null | """
Ball Class (based on Gameobject).
"""
| 25.5 | 82 | 0.645276 | """
Ball Class (based on Gameobject).
"""
import pygame
from game_object import GameObject
class Ball(GameObject):
def __init__(self, x_center, y_center, r, color, speed, special_effect=None):
GameObject.__init__(self, x_center - r, y_center - r, r * 2, r * 2, speed)
self.radius = r
self.... | 0 | 0 | 0 | 445 | 0 | 0 | 0 | 5 | 69 |
f83d48e61b53e1e98e2cd1a5a33dd44c84f673e1 | 1,037 | py | Python | Strings/CountVowelSubstringofStrimg.py | haaris272k/Problem-Solving-Collection | 5c8d0c36aff0d525ffec880115f5e123d0f3092b | [
"MIT"
] | 1 | 2022-02-28T06:49:25.000Z | 2022-02-28T06:49:25.000Z | Strings/CountVowelSubstringofStrimg.py | haaris272k/Problem-Solving-Collection | 5c8d0c36aff0d525ffec880115f5e123d0f3092b | [
"MIT"
] | null | null | null | Strings/CountVowelSubstringofStrimg.py | haaris272k/Problem-Solving-Collection | 5c8d0c36aff0d525ffec880115f5e123d0f3092b | [
"MIT"
] | null | null | null | '''A substring is a contiguous (non-empty) sequence of characters within a string.
A vowel substring is a substring that only consists of vowels ('a', 'e', 'i', 'o', and 'u') and has all five vowels present in it.
Given a string word, return the number of vowel substrings in word.
Example 1:
Input: wor... | 25.292683 | 131 | 0.593057 | '''A substring is a contiguous (non-empty) sequence of characters within a string.
A vowel substring is a substring that only consists of vowels ('a', 'e', 'i', 'o', and 'u') and has all five vowels present in it.
Given a string word, return the number of vowel substrings in word.
Example 1:
Input: wor... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
529c875ae24796fe7659b77cb2d49a2a3da1d8d7 | 924 | py | Python | commands/BaseLogger.py | WilkoV/Fusion360_ExportIt | ab32bcb8003aed9a9a5b29ae66a326db44d04df6 | [
"MIT"
] | 6 | 2020-09-20T01:01:16.000Z | 2022-03-30T11:35:24.000Z | commands/BaseLogger.py | WilkoV/Fusion360_ExportIt | ab32bcb8003aed9a9a5b29ae66a326db44d04df6 | [
"MIT"
] | 23 | 2020-06-05T16:30:11.000Z | 2022-01-11T06:48:10.000Z | commands/BaseLogger.py | WilkoV/Fusion360_ExportIt | ab32bcb8003aed9a9a5b29ae66a326db44d04df6 | [
"MIT"
] | null | null | null | import os
import logging
from logging.handlers import RotatingFileHandler
# create format of the log message
logFormatter = logging.Formatter(LOG_FORMAT)
# Get the path of the running script (api command)
appPath = os.path.dirname(os.path.abspath(__file__))
# add subdirectory "log" to the path
logPath = os.path.join... | 26.4 | 115 | 0.780303 | import os
import logging
from logging.handlers import RotatingFileHandler
from .Statics import *
# create format of the log message
logFormatter = logging.Formatter(LOG_FORMAT)
# Get the path of the running script (api command)
appPath = os.path.dirname(os.path.abspath(__file__))
# add subdirectory "log" to the path... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 22 |
54050ff19b88a09abe9558d5d18b3e79ccf0c924 | 805 | py | Python | videoanalyst/data/target/target_impl/utils/debug_compare_densebox_target.py | TragedyN/SiamFCpp | 65d80a66eb40d81ca09fa2dbf32636fbc414ec0d | [
"MIT"
] | 737 | 2019-12-24T13:34:43.000Z | 2022-03-28T11:38:24.000Z | videoanalyst/data/target/target_impl/utils/debug_compare_densebox_target.py | ShiAngWang/video_analyst | de4f86363cc408695428b423e8d6e346aa35149b | [
"MIT"
] | 129 | 2020-02-13T04:08:28.000Z | 2022-03-17T04:13:09.000Z | videoanalyst/data/target/target_impl/utils/debug_compare_densebox_target.py | ShiAngWang/video_analyst | de4f86363cc408695428b423e8d6e346aa35149b | [
"MIT"
] | 179 | 2019-12-31T04:53:12.000Z | 2022-03-25T06:32:20.000Z | import numpy as np
# from IPython import embed;embed()
from make_densebox_target import make_densebox_target as make_densebox_target_old
from make_densebox_target_dev import make_densebox_target as make_densebox_target_new
gt_boxes = np.asarray([[150, 250, 130, 60, 1]])
config_dict = dict(
x_size=303,
score_si... | 32.2 | 69 | 0.740373 | import numpy as np
# from IPython import embed;embed()
from make_densebox_target import \
make_densebox_target as make_densebox_target_old
from make_densebox_target_dev import \
make_densebox_target as make_densebox_target_new
gt_boxes = np.asarray([[150, 250, 130, 60, 1]])
config_dict = dict(
x_size=303,
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 0 |
ae6ce78d2f8743264ccb5871a9860612581b3d46 | 7,060 | py | Python | homework_1_linear_regression/main.py | Vinogradov-Mikhail/Spbu_ML_hw_19 | 564ed068b07656f4807ca955e6335b7e7dd5b340 | [
"MIT"
] | 1 | 2021-06-26T11:49:10.000Z | 2021-06-26T11:49:10.000Z | homework_1_linear_regression/main.py | Vinogradov-Mikhail/Spbu_ML_hw_19 | 564ed068b07656f4807ca955e6335b7e7dd5b340 | [
"MIT"
] | null | null | null | homework_1_linear_regression/main.py | Vinogradov-Mikhail/Spbu_ML_hw_19 | 564ed068b07656f4807ca955e6335b7e7dd5b340 | [
"MIT"
] | 1 | 2021-04-13T13:16:22.000Z | 2021-04-13T13:16:22.000Z |
LEARNING_RATE = 0.15
REGULARISATION = 0.005
MAX_ITERATION = 15000
TARGET_COLUMN_NAME = 53
FOLD_COUNT = 5
# x^j+1 = x^j - lambda^j * grad(F(x^j))
# block of function for features
# normalise values in selected column
if __name__ == "__main__":
main() | 34.271845 | 163 | 0.658782 | import numpy as np
import os
import pandas as pd
LEARNING_RATE = 0.15
REGULARISATION = 0.005
MAX_ITERATION = 15000
TARGET_COLUMN_NAME = 53
FOLD_COUNT = 5
# x^j+1 = x^j - lambda^j * grad(F(x^j))
# block of function for features
# normalise values in selected column
def normalization(column):
column_min = column.... | 0 | 0 | 0 | 0 | 0 | 6,523 | 0 | -17 | 295 |
ff88e0f5ccecc3c701f512768bb897a2dfbe68cb | 1,035 | py | Python | sis-api/test/bdd/steps/membership.serialization.py | maxbilbow/7054CEM-sis | 1c5067c9afc38e340fcce046048f8ae21d267365 | [
"MIT"
] | null | null | null | sis-api/test/bdd/steps/membership.serialization.py | maxbilbow/7054CEM-sis | 1c5067c9afc38e340fcce046048f8ae21d267365 | [
"MIT"
] | null | null | null | sis-api/test/bdd/steps/membership.serialization.py | maxbilbow/7054CEM-sis | 1c5067c9afc38e340fcce046048f8ae21d267365 | [
"MIT"
] | null | null | null |
use_step_matcher("re")
| 27.236842 | 118 | 0.72657 | from datetime import date
from behave import *
from core.model import to_dict
from core.model.membership import Membership
from core.model.membership_type import MembershipType
from core.utils.serialization import serialize
use_step_matcher("re")
@when("a serialized membership is requested")
def step_impl(context)... | 0 | 713 | 0 | 0 | 0 | 0 | 0 | 92 | 203 |
92dd7ab3b9750981c6d00eedcdca0d935244823f | 86 | py | Python | molecule/default/tests/test_node.py | OsgiliathEnterprise/ansible-iam | 8d79da2c2ae07e433166349cabe34736376b2412 | [
"Apache-2.0"
] | null | null | null | molecule/default/tests/test_node.py | OsgiliathEnterprise/ansible-iam | 8d79da2c2ae07e433166349cabe34736376b2412 | [
"Apache-2.0"
] | null | null | null | molecule/default/tests/test_node.py | OsgiliathEnterprise/ansible-iam | 8d79da2c2ae07e433166349cabe34736376b2412 | [
"Apache-2.0"
] | null | null | null | """Role testing files using testinfra."""
testinfra_hosts = ["node1.osgiliath.test"]
| 21.5 | 42 | 0.732558 | """Role testing files using testinfra."""
testinfra_hosts = ["node1.osgiliath.test"]
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
994fbc492089270e21f9fed2b7eebf5899d9b97c | 1,443 | py | Python | Mike's Playground/ep_energy.py | jhfernan/Python-Playground | e80cc0c0c39b3672780209eb4aa93379777e09d6 | [
"MIT"
] | null | null | null | Mike's Playground/ep_energy.py | jhfernan/Python-Playground | e80cc0c0c39b3672780209eb4aa93379777e09d6 | [
"MIT"
] | null | null | null | Mike's Playground/ep_energy.py | jhfernan/Python-Playground | e80cc0c0c39b3672780209eb4aa93379777e09d6 | [
"MIT"
] | null | null | null | #Electric potential energy, the easy way to solve physics problems.
#This energy is converted from potential to kinetic just like in any other situation.
#The calculations based upon Energy in general can be used to design and build anything.
#This application will attempt to quickly formulate Energy quantities and int... | 35.195122 | 108 | 0.761608 | #Electric potential energy, the easy way to solve physics problems.
#This energy is converted from potential to kinetic just like in any other situation.
#The calculations based upon Energy in general can be used to design and build anything.
#This application will attempt to quickly formulate Energy quantities and int... | 25 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
dc185d3385b39e1dc306be98e78f79858a569d99 | 3,189 | py | Python | quex/engine/state_machine/algebra/TESTS/basics/TEST/test-union.py | smmckay/quex-mirror | 7d75ed560e9f3a591935e59243188676eecb112a | [
"MIT"
] | null | null | null | quex/engine/state_machine/algebra/TESTS/basics/TEST/test-union.py | smmckay/quex-mirror | 7d75ed560e9f3a591935e59243188676eecb112a | [
"MIT"
] | null | null | null | quex/engine/state_machine/algebra/TESTS/basics/TEST/test-union.py | smmckay/quex-mirror | 7d75ed560e9f3a591935e59243188676eecb112a | [
"MIT"
] | null | null | null | #! /usr/bin/env python
import sys
import os
sys.path.insert(0, os.environ["QUEX_PATH"])
import quex.input.regular_expression.engine as regex
import quex.engine.state_machine.algebra.union as union
import quex.engine.state_machine.algebra.intersection as intersection
import quex.engine.state_machine.ch... | 35.043956 | 77 | 0.532455 | #! /usr/bin/env python
import sys
import os
sys.path.insert(0, os.environ["QUEX_PATH"])
import quex.input.regular_expression.engine as regex
import quex.engine.state_machine.algebra.union as union
import quex.engine.state_machine.algebra.intersection as intersection
import quex.engine.state_machine.ch... | 0 | 0 | 0 | 0 | 0 | 853 | 0 | 0 | 27 |
999588c6a1dc028a7b974c575fa938c7f745b9cf | 5,225 | py | Python | hood/tests.py | Nelsonkioko/Hood_Watch | 1153360c7f494c2820206c6b172b732ba3eb14fa | [
"Unlicense"
] | null | null | null | hood/tests.py | Nelsonkioko/Hood_Watch | 1153360c7f494c2820206c6b172b732ba3eb14fa | [
"Unlicense"
] | 5 | 2020-06-05T21:22:20.000Z | 2021-09-08T01:02:44.000Z | hood/tests.py | Nelsonkioko/Hood_Watch | 1153360c7f494c2820206c6b172b732ba3eb14fa | [
"Unlicense"
] | null | null | null | # Create your tests here.
| 38.419118 | 170 | 0.697225 | from django.test import TestCase
from django.contrib.auth.models import User
from .models import UserProfile,Post,Comment,Location,Category,Neighborhood,Company
# Create your tests here.
class UserProfileTestClass(TestCase):
# Set up method
def setUp(self):
self.user = User.objects.create_user(username=... | 0 | 0 | 0 | 4,878 | 0 | 0 | 0 | 95 | 226 |
90806d17353332cc1da92222362340c8cbbcfb77 | 58,542 | py | Python | ReferentialGym/agents/differentiable_obverter_agent.py | Near32/ReferentialGameGym | afe22da2ac20c0d24e93b4dbd1f1ad61374d1a6c | [
"MIT"
] | 19 | 2019-11-20T05:50:37.000Z | 2022-03-15T09:10:25.000Z | ReferentialGym/agents/differentiable_obverter_agent.py | Near32/ReferentialGameGym | afe22da2ac20c0d24e93b4dbd1f1ad61374d1a6c | [
"MIT"
] | null | null | null | ReferentialGym/agents/differentiable_obverter_agent.py | Near32/ReferentialGameGym | afe22da2ac20c0d24e93b4dbd1f1ad61374d1a6c | [
"MIT"
] | 5 | 2020-12-20T23:00:23.000Z | 2022-01-06T08:42:24.000Z | import torch.nn as nn
use_decision_head = True
nbr_head_outputs = 2
not_always_argmax = True ; always_categorical_sampling = True
LogSoftmaxAfterLogOnSigmoid = False
bmm = False
normalize = True
inner_model = True
use_one_minus_max_prob = True
whole_sentence = False
packpadding = False
assume_padding_with_eos = ... | 54.055402 | 185 | 0.627601 | import torch
import torch.nn as nn
import torch.nn.functional as F
from .discriminative_listener import DiscriminativeListener
from ..networks import choose_architecture, layer_init, BetaVAE, reg_nan, hasnan
from ..utils import gumbel_softmax
use_decision_head = True
nbr_head_outputs = 2
not_always_argmax = True ; al... | 0 | 0 | 0 | 54,612 | 0 | 3,236 | 0 | 111 | 157 |
e21398358baf0b9bacfa8e0348420ba7ffb199df | 1,305 | py | Python | pylabnet/scripts/pause_script.py | wi11dey/pylabnet | a6e3362f727c45aaa60e61496e858ae92e85574d | [
"MIT"
] | 10 | 2020-01-07T23:28:49.000Z | 2022-02-02T19:09:17.000Z | pylabnet/scripts/pause_script.py | wi11dey/pylabnet | a6e3362f727c45aaa60e61496e858ae92e85574d | [
"MIT"
] | 249 | 2019-12-28T19:38:49.000Z | 2022-03-28T16:45:32.000Z | pylabnet/scripts/pause_script.py | wi11dey/pylabnet | a6e3362f727c45aaa60e61496e858ae92e85574d | [
"MIT"
] | 5 | 2020-11-17T19:45:10.000Z | 2022-01-04T18:07:04.000Z | """ Set of tools to stop continuously running script from a different process
via RPyC link.
Steps:
- the script class should have public method pause(),
which will be called by client through RPyC link
- once the script is instantiated, assign it as the module to
PauseService instance:
pause_service_instanc... | 29 | 77 | 0.717241 | """ Set of tools to stop continuously running script from a different process
via RPyC link.
Steps:
- the script class should have public method pause(),
which will be called by client through RPyC link
- once the script is instantiated, assign it as the module to
PauseService instance:
pause_service_instanc... | 0 | 0 | 0 | 665 | 0 | 0 | 0 | 72 | 91 |
a7406aae1ccc2e0f81a125ccdfc5675e620996e1 | 994 | py | Python | sales/urls.py | sLeeNguyen/sales-support | 3f0a6977c8c26743373a70b4296516b7a71ccf4a | [
"Apache-2.0"
] | 1 | 2021-03-22T14:07:30.000Z | 2021-03-22T14:07:30.000Z | sales/urls.py | sLeeNguyen/sales-support | 3f0a6977c8c26743373a70b4296516b7a71ccf4a | [
"Apache-2.0"
] | null | null | null | sales/urls.py | sLeeNguyen/sales-support | 3f0a6977c8c26743373a70b4296516b7a71ccf4a | [
"Apache-2.0"
] | null | null | null | from django.urls import path, re_path
from . import views
app_name = "sales"
urlpatterns = [
re_path('^sales/$', views.SalesView.as_view(), name="sales"),
re_path('^sales/search/product/$', views.SearchProductView.as_view(), name="search"),
re_path('^sales/search/customer/$', views.SearchCustomerView.as_vi... | 58.470588 | 111 | 0.686117 | from django.urls import path, re_path
from . import views
app_name = "sales"
urlpatterns = [
re_path('^sales/$', views.SalesView.as_view(), name="sales"),
re_path('^sales/search/product/$', views.SearchProductView.as_view(), name="search"),
re_path('^sales/search/customer/$', views.SearchCustomerView.as_vi... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
90f50e1411da7d618e3c5ec957b3527c76d37691 | 1,673 | py | Python | projects/schemas/project.py | dnlcesilva/projects | 8e367d502aa0ffe3ed29f767d6ab039e6bee282f | [
"Apache-2.0"
] | 6 | 2019-09-16T13:07:20.000Z | 2021-06-02T19:02:05.000Z | projects/schemas/project.py | ndarvishev/projects | 6a9855c5f8af8fad2799ef7a203e126b834c5056 | [
"Apache-2.0"
] | 325 | 2019-09-20T20:06:00.000Z | 2022-03-30T15:05:49.000Z | projects/schemas/project.py | ndarvishev/projects | 6a9855c5f8af8fad2799ef7a203e126b834c5056 | [
"Apache-2.0"
] | 17 | 2019-08-02T16:55:47.000Z | 2021-06-26T19:13:35.000Z | # -*- coding: utf-8 -*-
"""Project schema."""
| 24.246377 | 67 | 0.677227 | # -*- coding: utf-8 -*-
"""Project schema."""
from datetime import datetime
from typing import List, Optional
from pydantic import BaseModel
from projects.schemas.deployment import Deployment
from projects.schemas.experiment import Experiment
from projects.utils import to_camel_case
class ProjectBase(BaseModel):
... | 0 | 639 | 0 | 628 | 0 | 0 | 0 | 106 | 249 |
06927ecbb31531d1e817ca9fc2075566e4173c8f | 24,512 | py | Python | main_bert_hier.py | HLTCHKUST/emotion-dialogue | 0d58b339134dd9a2f386948ae474b270a77370f9 | [
"MIT"
] | 40 | 2019-04-29T09:17:48.000Z | 2021-11-19T06:32:02.000Z | main_bert_hier.py | HLTCHKUST/emotion-dialogue | 0d58b339134dd9a2f386948ae474b270a77370f9 | [
"MIT"
] | null | null | null | main_bert_hier.py | HLTCHKUST/emotion-dialogue | 0d58b339134dd9a2f386948ae474b270a77370f9 | [
"MIT"
] | 4 | 2019-09-01T10:00:56.000Z | 2020-03-08T16:00:22.000Z | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from utils import constant
import logging
import torch.nn as nn
from pytorch_pretrained_bert.tokenization import convert_to_unicode
logging.basicConfig(format = '%(asctime)s - %(levelname)s - %(name)s - %(me... | 50.02449 | 206 | 0.631527 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
from utils.data_reader import read_data ,get_data_for_bert
from utils import constant
from utils.utils import getMetrics
from models.transformer import Encoder
from models.lstm_model import HLstmModel
... | 0 | 0 | 0 | 5,694 | 0 | 12,950 | 0 | 226 | 608 |
a15941426236155d42b21af772784162ea7806f2 | 1,301 | py | Python | save_door_pointcloud.py | aidan-curtis/az-manipulator | 0c9837110b30bdaa6e53938b6dc4bc7a26c0a474 | [
"Apache-2.0"
] | null | null | null | save_door_pointcloud.py | aidan-curtis/az-manipulator | 0c9837110b30bdaa6e53938b6dc4bc7a26c0a474 | [
"Apache-2.0"
] | null | null | null | save_door_pointcloud.py | aidan-curtis/az-manipulator | 0c9837110b30bdaa6e53938b6dc4bc7a26c0a474 | [
"Apache-2.0"
] | null | null | null | import gym
import pickle
from mani_skill import env
env = gym.make('OpenCabinetDoor-v0')
# full environment list can be found in available_environments.txt
env.set_env_mode(obs_mode='pointcloud', reward_type='sparse')
# obs_mode can be 'state', 'pointcloud' or 'rgbd'
# reward_type can be 'sparse' or 'dense'
print(env... | 35.162162 | 114 | 0.667948 | import gym
import pickle
from mani_skill import env
env = gym.make('OpenCabinetDoor-v0')
# full environment list can be found in available_environments.txt
env.set_env_mode(obs_mode='pointcloud', reward_type='sparse')
# obs_mode can be 'state', 'pointcloud' or 'rgbd'
# reward_type can be 'sparse' or 'dense'
print(env... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
9c2b2440971fc46632f5158c9309a0fe90f71f72 | 1,155 | py | Python | src/brain/modelgen/model_generator.py | jmininger/peloton | 268549dcd3451fac9fa983c190337fa5c6e4ee22 | [
"Apache-2.0"
] | 2 | 2021-03-29T01:29:18.000Z | 2022-02-27T11:22:15.000Z | src/brain/modelgen/model_generator.py | lym953/15721-p3 | c5ba8004c6f0f10472aa004303c04be1c860ade9 | [
"Apache-2.0"
] | null | null | null | src/brain/modelgen/model_generator.py | lym953/15721-p3 | c5ba8004c6f0f10472aa004303c04be1c860ade9 | [
"Apache-2.0"
] | null | null | null | #===----------------------------------------------------------------------===#
#
# Peloton
#
# model_generator.py
#
# Identification: src/brain/modelgen/model_generator.py
#
# Copyright (c) 2015-2018, Carnegie Mellon University Database Group
#
#===-----------------------------------------------... | 28.875 | 78 | 0.550649 | #===----------------------------------------------------------------------===#
#
# Peloton
#
# model_generator.py
#
# Identification: src/brain/modelgen/model_generator.py
#
# Copyright (c) 2015-2018, Carnegie Mellon University Database Group
#
#===-----------------------------------------------... | 0 | 0 | 0 | 0 | 0 | 565 | 0 | -10 | 46 |
5bf1fdc565849a670ab5fc9dd781a475c9228094 | 4,308 | py | Python | c-abi-examples/python_example.py | kristoff-it/zig-cuckoofilter | 956937fdb3a3a1163e984469153e697588e9c982 | [
"MIT"
] | 52 | 2019-05-13T00:05:06.000Z | 2022-02-16T05:45:42.000Z | c-abi-examples/python_example.py | kristoff-it/zig-cuckoofilter | 956937fdb3a3a1163e984469153e697588e9c982 | [
"MIT"
] | null | null | null | c-abi-examples/python_example.py | kristoff-it/zig-cuckoofilter | 956937fdb3a3a1163e984469153e697588e9c982 | [
"MIT"
] | 3 | 2019-12-21T16:17:16.000Z | 2021-11-26T06:22:39.000Z | from cffi import FFI
# On macOS dynamic libraries have the .dylib extension. Windows has .dll and linux has .so
# You can obtain libcuckoofilter_c.xxx.{dylib, so, dll} either by downloading it from the latest Release on GitHub
# or by compiling the library using the Zig compiler:
#
# $ zig build-lib -dynamic --relea... | 37.789474 | 114 | 0.727252 | from cffi import FFI
# On macOS dynamic libraries have the .dylib extension. Windows has .dll and linux has .so
# You can obtain libcuckoofilter_c.xxx.{dylib, so, dll} either by downloading it from the latest Release on GitHub
# or by compiling the library using the Zig compiler:
#
# $ zig build-lib -dynamic --relea... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
76ec71be256ce91c25a080b7da16a5dda57078fd | 3,568 | py | Python | examples/lstm_forward.py | marcinz/cunumeric | c40b038d4eb0611f7bb16d5bd11891a633ef7892 | [
"Apache-2.0"
] | 118 | 2021-04-12T18:06:59.000Z | 2021-10-12T21:30:24.000Z | examples/lstm_forward.py | marcinz/cunumeric | c40b038d4eb0611f7bb16d5bd11891a633ef7892 | [
"Apache-2.0"
] | 51 | 2021-04-21T10:40:13.000Z | 2021-09-10T22:09:26.000Z | examples/lstm_forward.py | marcinz/cunumeric | c40b038d4eb0611f7bb16d5bd11891a633ef7892 | [
"Apache-2.0"
] | 9 | 2021-04-14T03:07:42.000Z | 2021-09-22T17:02:53.000Z | #!/usr/bin/env python
# Copyright 2021 NVIDIA Corporation
#
# 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... | 28.544 | 78 | 0.578475 | #!/usr/bin/env python
# Copyright 2021 NVIDIA Corporation
#
# 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... | 0 | 0 | 0 | 0 | 0 | 1,676 | 0 | -15 | 90 |
b262b3d2c842e1ea438b151382ccdde9e343505a | 3,377 | py | Python | tests/test_index_update.py | jhong93/caption-index | 5484df583c37ae68472c58b06c3ff4c3254a42b9 | [
"BSD-3-Clause"
] | 2 | 2020-11-05T20:37:32.000Z | 2021-05-16T01:52:55.000Z | tests/test_index_update.py | scanner-research/caption-index | 5484df583c37ae68472c58b06c3ff4c3254a42b9 | [
"BSD-3-Clause"
] | null | null | null | tests/test_index_update.py | scanner-research/caption-index | 5484df583c37ae68472c58b06c3ff4c3254a42b9 | [
"BSD-3-Clause"
] | null | null | null | """
Build a dummy index, update it, and run tests on it.
"""
import os
TEST_DATA_PATH = os.path.join(os.path.dirname(os.path.abspath(__file__)),
'test-small.tar.gz')
BUILD_INDEX_SCRIPT = os.path.join(
os.path.dirname(os.path.abspath(__file__)),
'..', 'scripts', 'build_index.py')... | 37.522222 | 86 | 0.639917 | """
Build a dummy index, update it, and run tests on it.
"""
import os
import shutil
import tempfile
from subprocess import check_call, CalledProcessError
import captions
from lib.common import get_docs_and_lexicon
TEST_DATA_PATH = os.path.join(os.path.dirname(os.path.abspath(__file__)),
... | 0 | 0 | 0 | 0 | 0 | 2,763 | 0 | 34 | 134 |
10e48b1c91f4da0db9bda2c7614b3932e9059adb | 5,773 | py | Python | snake_game/main.py | ps4449/python-games | 559a15be98de4c0cef55eeee5e3e84888d8c7c39 | [
"CC0-1.0"
] | null | null | null | snake_game/main.py | ps4449/python-games | 559a15be98de4c0cef55eeee5e3e84888d8c7c39 | [
"CC0-1.0"
] | null | null | null | snake_game/main.py | ps4449/python-games | 559a15be98de4c0cef55eeee5e3e84888d8c7c39 | [
"CC0-1.0"
] | null | null | null |
size = 40
if __name__ == "__main__":
game = Game()
game.run()
| 29.605128 | 104 | 0.531093 | import pygame
from pygame.locals import *
import time
import random
size = 40
class Apple:
def __init__(self, parent_screen):
# loading the apple image
self.parent_screen = parent_screen
self.apple = pygame.image.load("resources/apple.jpg").convert()
self.x = size*4
self.y ... | 0 | 0 | 0 | 5,563 | 0 | 0 | 0 | -20 | 157 |
c33417d6722fcf82315611a3828045af6e5826a5 | 1,207 | py | Python | manger.py | 1335305660/new-project | 78c0cf05ef527c7f6f2556308a4a8843d20bbbf5 | [
"MIT"
] | null | null | null | manger.py | 1335305660/new-project | 78c0cf05ef527c7f6f2556308a4a8843d20bbbf5 | [
"MIT"
] | null | null | null | manger.py | 1335305660/new-project | 78c0cf05ef527c7f6f2556308a4a8843d20bbbf5 | [
"MIT"
] | null | null | null | from flask_script import Manager
from flask_migrate import Migrate, MigrateCommand
from info import create_app, db
app = create_app("development")
# class Config(object):
# #DEBUG = True
# SQLALCHEMY_DATABASE_URI = "mysql://root:mysql@127.0.0.1:3306/python22"
# SQLALCHEMY_TRACK_MODIFICATIONS = False
# ... | 21.553571 | 87 | 0.705882 | from flask_script import Manager
from flask_migrate import Migrate, MigrateCommand
from info import create_app, db
app = create_app("development")
# class Config(object):
# #DEBUG = True
# SQLALCHEMY_DATABASE_URI = "mysql://root:mysql@127.0.0.1:3306/python22"
# SQLALCHEMY_TRACK_MODIFICATIONS = False
# ... | 285 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
c0c2f3c8c741f4204a3865d86fc06e4917c63b6f | 650 | py | Python | explore.py | kabirivan/Review_Database | 5d807caf6bb1ba6515f89e744e8f85a3cc8930ad | [
"MIT"
] | null | null | null | explore.py | kabirivan/Review_Database | 5d807caf6bb1ba6515f89e744e8f85a3cc8930ad | [
"MIT"
] | null | null | null | explore.py | kabirivan/Review_Database | 5d807caf6bb1ba6515f89e744e8f85a3cc8930ad | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun Aug 1 12:07:15 2021
@author: xavieraguas
"""
import sqlalchemy as db
DBUSER = 'postgres'
DBPASS = 'ivan'
DBHOST = 'localhost'
DBPORT = '5432'
DBNAME = 'test'
engine = db.create_engine('postgresql+psycopg2://{user}:{passwd}@{host}:{port}/{db}'.for... | 23.214286 | 157 | 0.715385 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun Aug 1 12:07:15 2021
@author: xavieraguas
"""
import sqlalchemy as db
DBUSER = 'postgres'
DBPASS = 'ivan'
DBHOST = 'localhost'
DBPORT = '5432'
DBNAME = 'test'
engine = db.create_engine('postgresql+psycopg2://{user}:{passwd}@{host}:{port}/{db}'.for... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
17886f6f6da5d5e948c9ef37c8db58a42e700acf | 4,489 | py | Python | zeus/api/resources/repository_file_coverage_tree.py | conrad-kronos/zeus | ddb6bc313e51fb22222b30822b82d76f37dbbd35 | [
"Apache-2.0"
] | 221 | 2017-07-03T17:29:21.000Z | 2021-12-07T19:56:59.000Z | zeus/api/resources/repository_file_coverage_tree.py | conrad-kronos/zeus | ddb6bc313e51fb22222b30822b82d76f37dbbd35 | [
"Apache-2.0"
] | 298 | 2017-07-04T18:08:14.000Z | 2022-03-03T22:24:51.000Z | zeus/api/resources/repository_file_coverage_tree.py | conrad-kronos/zeus | ddb6bc313e51fb22222b30822b82d76f37dbbd35 | [
"Apache-2.0"
] | 24 | 2017-07-15T13:46:45.000Z | 2020-08-16T16:14:45.000Z | from ..schemas import FileCoverageSchema
SEPERATOR = "/"
filecoverage_schema = FileCoverageSchema(many=False)
| 35.070313 | 88 | 0.539987 | from flask import current_app, request
from typing import Optional
from zeus.constants import Result, Status
from zeus.models import Build, FileCoverage, Repository
from zeus.utils.trees import build_tree
from zeus.vcs import vcs_client
from .base_repository import BaseRepositoryResource
from ..schemas import FileCov... | 0 | 0 | 0 | 4,062 | 0 | 0 | 0 | 135 | 179 |
69504db4b756a2a61be808201760321dfb4b0ace | 162 | py | Python | python/split-strip.py | tbedford/code-snippets | 9afe36c2726829f14fa5ec11acb8214bed704938 | [
"MIT"
] | null | null | null | python/split-strip.py | tbedford/code-snippets | 9afe36c2726829f14fa5ec11acb8214bed704938 | [
"MIT"
] | null | null | null | python/split-strip.py | tbedford/code-snippets | 9afe36c2726829f14fa5ec11acb8214bed704938 | [
"MIT"
] | 1 | 2018-10-09T02:03:12.000Z | 2018-10-09T02:03:12.000Z | str= ' this | is | a string '
s1, s2, s3 = str.split('|', 2)
print('>%s<' % s1.strip())
print('>%s<' % s2)
print('>%s<' % s3)
s = str.split('|', 2)
print(s)
| 13.5 | 30 | 0.469136 | str= ' this | is | a string '
s1, s2, s3 = str.split('|', 2)
print('>%s<' % s1.strip())
print('>%s<' % s2)
print('>%s<' % s3)
s = str.split('|', 2)
print(s)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5f57b69dd2b732ae783dea004681c5995c52a5d4 | 447 | py | Python | constants.py | thomscot/bamboozled | a99d76454dff47ed90b4526185468d9061fe434f | [
"MIT"
] | null | null | null | constants.py | thomscot/bamboozled | a99d76454dff47ed90b4526185468d9061fe434f | [
"MIT"
] | null | null | null | constants.py | thomscot/bamboozled | a99d76454dff47ed90b4526185468d9061fe434f | [
"MIT"
] | null | null | null | # Bamboo website specific fields
BAMBOO_LOGIN = "https://your_organization.bamboohr.com/login.php"
CLOCK_OUT_BTN = "Clock Out"
CLOCK_IN_BTN = "Clock In"
STANDARD_LOGIN = "Log in with Email and Password"
LOGIN_BTN = "Log In"
LOGIN_ID = "#lemail"
PWD_ID = "#password"
# user specific constants
MAX_SLEEP = 1200 # 20 ... | 20.318182 | 65 | 0.740492 | # Bamboo website specific fields
BAMBOO_LOGIN = "https://your_organization.bamboohr.com/login.php"
CLOCK_OUT_BTN = "Clock Out"
CLOCK_IN_BTN = "Clock In"
STANDARD_LOGIN = "Log in with Email and Password"
LOGIN_BTN = "Log In"
LOGIN_ID = "#lemail"
PWD_ID = "#password"
# user specific constants
MAX_SLEEP = 1200 # 20 ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
81c18a2f0356e4349077b255c0ae7722c331a8cd | 753 | py | Python | ballot/urls.py | josephevans/WeVoteServer | 137f3037ba9984e036eb146aeeeecb4e979c21e1 | [
"MIT"
] | null | null | null | ballot/urls.py | josephevans/WeVoteServer | 137f3037ba9984e036eb146aeeeecb4e979c21e1 | [
"MIT"
] | null | null | null | ballot/urls.py | josephevans/WeVoteServer | 137f3037ba9984e036eb146aeeeecb4e979c21e1 | [
"MIT"
] | null | null | null | # ballot/urls.py
# Brought to you by We Vote. Be good.
# -*- coding: UTF-8 -*-
from django.conf.urls import url
from . import views_admin
urlpatterns = [
# views_admin
url(r'^import_ballot_items/$',
views_admin.ballot_items_import_from_master_server_view,
name='ballot_items_import_from_master... | 35.857143 | 119 | 0.743692 | # ballot/urls.py
# Brought to you by We Vote. Be good.
# -*- coding: UTF-8 -*-
from django.conf.urls import url
from . import views_admin
urlpatterns = [
# views_admin
url(r'^import_ballot_items/$',
views_admin.ballot_items_import_from_master_server_view,
name='ballot_items_import_from_master... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
fe3da3a126f85af39a25fe883e7ebd890af430d1 | 13,774 | py | Python | Main_ext.py | NewGr8Player/paipaidai_spider | 9e11bf730a2371fbb3ffcf624a3031ca411b7d87 | [
"MIT"
] | null | null | null | Main_ext.py | NewGr8Player/paipaidai_spider | 9e11bf730a2371fbb3ffcf624a3031ca411b7d87 | [
"MIT"
] | null | null | null | Main_ext.py | NewGr8Player/paipaidai_spider | 9e11bf730a2371fbb3ffcf624a3031ca411b7d87 | [
"MIT"
] | null | null | null | import datetime
from selenium import webdriver
data_xls_poz_map = {
1: {'name': '', 'code': 'user_name'},
2: {'name': '', 'code': 'credit_level'},
3: {'name': '', 'code': 'amount'},
4: {'name': '', 'code': 'term'}
}
TYPE_KPT = 4 # LoanCategoryId 4:,8:,5:
TYPE_SORT = 1 # 0,1,2
file_name = 'data_histo... | 37.944904 | 119 | 0.579715 | import os
import time
import datetime
import random
from bs4 import BeautifulSoup
from openpyxl import load_workbook
from openpyxl import Workbook
from selenium import webdriver
data_xls_poz_map = {
1: {'name': '用户名', 'code': 'user_name'},
2: {'name': '信用等级', 'code': 'credit_level'},
3: {'name': '贷款金额', 'c... | 3,045 | 0 | 0 | 0 | 0 | 11,560 | 0 | -1 | 352 |
159f2111ea1911cb06cdd1803e0ebeccc58ce4af | 369 | py | Python | back/main.py | saadlalam/issueBook | 3a2519dca237bf6ac6708f88ea7d96b17de88ed3 | [
"MIT"
] | null | null | null | back/main.py | saadlalam/issueBook | 3a2519dca237bf6ac6708f88ea7d96b17de88ed3 | [
"MIT"
] | null | null | null | back/main.py | saadlalam/issueBook | 3a2519dca237bf6ac6708f88ea7d96b17de88ed3 | [
"MIT"
] | null | null | null | from flask import Flask
from flask_cors import CORS
from app.config import properties
from app.api.issues import issues
app = Flask(__name__)
app.register_blueprint(issues, url_prefix=f'/api/issues')
CORS(app, resources={r"/*": {"origins": properties.AUTHORIZED_ORIGIN}}, supports_credentials=True)
if __name__ =... | 21.705882 | 98 | 0.766938 | from flask import Flask
from flask_cors import CORS
from app.config import properties
from app.api.issues import issues
app = Flask(__name__)
app.register_blueprint(issues, url_prefix=f'/api/issues')
CORS(app, resources={r"/*": {"origins": properties.AUTHORIZED_ORIGIN}}, supports_credentials=True)
if __name__ =... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3fd00df659d0026f50afb06f87ef017ff0c61899 | 950 | py | Python | resources/resources_sql/inventario.py | cifpfbmoll/ollivanders-in-a-docker-pau13-loop | 0f9f2589b567c57bd56a8a4161de3043d5639a8b | [
"MIT"
] | null | null | null | resources/resources_sql/inventario.py | cifpfbmoll/ollivanders-in-a-docker-pau13-loop | 0f9f2589b567c57bd56a8a4161de3043d5639a8b | [
"MIT"
] | null | null | null | resources/resources_sql/inventario.py | cifpfbmoll/ollivanders-in-a-docker-pau13-loop | 0f9f2589b567c57bd56a8a4161de3043d5639a8b | [
"MIT"
] | null | null | null |
# Importamos el contenido de Service
# Importamos el make_response
| 31.666667 | 125 | 0.684211 | from flask_restful import Resource, Api
# Importamos el contenido de Service
from service.service_sql.service import Service
# Importamos el make_response
from flask import make_response, jsonify
class Inventario(Resource):
def get(self):
"""Gets a list of all items.
Makes a custom Response Obje... | 4 | 0 | 0 | 726 | 0 | 0 | 0 | 63 | 89 |
54fb079e1aa8bac4a52b1b1cb1f9702e0bdf4882 | 124 | py | Python | code/common/module/__init__.py | naschorr/hawking | cdc98b7bc90c72d634f1fe877c34e7f9908ec4a8 | [
"MIT"
] | 21 | 2017-08-06T02:47:05.000Z | 2022-03-13T17:39:00.000Z | code/common/module/__init__.py | naschorr/hawking | cdc98b7bc90c72d634f1fe877c34e7f9908ec4a8 | [
"MIT"
] | 87 | 2017-12-26T17:07:59.000Z | 2022-03-11T01:31:48.000Z | code/common/module/__init__.py | naschorr/hawking | cdc98b7bc90c72d634f1fe877c34e7f9908ec4a8 | [
"MIT"
] | 7 | 2019-10-23T17:30:34.000Z | 2022-03-31T05:56:43.000Z | __all__ = [
'dependency_graph',
'discoverable_module',
'module_initialization_container',
'module_manager'
] | 20.666667 | 38 | 0.701613 | __all__ = [
'dependency_graph',
'discoverable_module',
'module_initialization_container',
'module_manager'
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
c2ef4a42503ac3566c51d91b6c6562bcc97d14d7 | 846 | py | Python | 3-2.py | chrisguilbeau/aoc2021 | d043f9da81343fc2e817884e7dfd36aa71632984 | [
"MIT"
] | null | null | null | 3-2.py | chrisguilbeau/aoc2021 | d043f9da81343fc2e817884e7dfd36aa71632984 | [
"MIT"
] | null | null | null | 3-2.py | chrisguilbeau/aoc2021 | d043f9da81343fc2e817884e7dfd36aa71632984 | [
"MIT"
] | null | null | null | from sys import argv
if __name__ == '__main__':
with open(argv[1], 'r') as f:
lines = f.readlines()
main(lines)
| 32.538462 | 67 | 0.478723 | from sys import argv
def main(lines):
lenLine = len(lines[0].strip())
def getVal(g=True):
candidates = lines[:]
for i in range(lenLine):
lenLineHalf = len(candidates) / 2.
numOnes = sum(int(l[i]) for l in candidates)
print(numOnes)
if numOnes >= l... | 0 | 0 | 0 | 0 | 0 | 694 | 0 | 0 | 23 |
97f7620c8abd7d1be31eac719ba83b509dfa0c24 | 148 | py | Python | compileMain.py | noahbroyles/pyinstaller-wine | f6ca8f1ee9b7b1682fcdfc4bea5ae1dc3643338e | [
"MIT"
] | 6 | 2021-07-29T02:42:41.000Z | 2021-09-18T20:38:10.000Z | compileMain.py | noahbroyles/pyinstaller-wine | f6ca8f1ee9b7b1682fcdfc4bea5ae1dc3643338e | [
"MIT"
] | 1 | 2021-09-10T04:22:29.000Z | 2021-11-05T17:01:10.000Z | compileMain.py | noahbroyles/pyinstaller-wine | f6ca8f1ee9b7b1682fcdfc4bea5ae1dc3643338e | [
"MIT"
] | null | null | null | import subprocess
subprocess.call(['pyinstaller', '/home/nbroyles/PycharmProjects/PyinstallerWineCompile/main.py', '--onefile', '-n', 'pycompile']) | 49.333333 | 129 | 0.763514 | import subprocess
subprocess.call(['pyinstaller', '/home/nbroyles/PycharmProjects/PyinstallerWineCompile/main.py', '--onefile', '-n', 'pycompile']) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
c7df3847e83f3a0897b70fdee785e6bb33304854 | 1,299 | py | Python | page_object_models/admin_page_model.py | ikostan/ParaBankSeleniumAutomation | e28a886adba89b82a60831ad96a3a8f00f863116 | [
"Unlicense"
] | 4 | 2019-08-12T19:36:58.000Z | 2021-09-14T18:48:27.000Z | page_object_models/admin_page_model.py | ikostan/ParaBankSeleniumAutomation | e28a886adba89b82a60831ad96a3a8f00f863116 | [
"Unlicense"
] | 1 | 2021-06-02T00:01:00.000Z | 2021-06-02T00:01:00.000Z | page_object_models/admin_page_model.py | ikostan/ParaBankSeleniumAutomation | e28a886adba89b82a60831ad96a3a8f00f863116 | [
"Unlicense"
] | 2 | 2019-08-12T10:06:00.000Z | 2020-12-25T05:52:40.000Z | # Created by Egor Kostan.
# GitHub: https://github.com/ikostan
# LinkedIn: https://www.linkedin.com/in/egor-kostan/
| 31.682927 | 113 | 0.792148 | # Created by Egor Kostan.
# GitHub: https://github.com/ikostan
# LinkedIn: https://www.linkedin.com/in/egor-kostan/
from tests.config import Config
from utils.driver import Driver
from element_object_models.element import Element
from page_object_models.base_page_model import BasePageModel
from page_locators.admin... | 0 | 0 | 0 | 839 | 0 | 0 | 0 | 183 | 157 |
c73c8bbddf84252088ca00612cf7fb4729fdd58b | 722 | py | Python | cmd_make_1.py | bokveizen/baselines | 79f5d18e2358567c72f422c5a23df78f9f64a55d | [
"MIT"
] | null | null | null | cmd_make_1.py | bokveizen/baselines | 79f5d18e2358567c72f422c5a23df78f9f64a55d | [
"MIT"
] | null | null | null | cmd_make_1.py | bokveizen/baselines | 79f5d18e2358567c72f422c5a23df78f9f64a55d | [
"MIT"
] | null | null | null | '''
python -m baselines.run
--alg=deepq
--env=BreakoutNoFrameskip-v4
--num_timesteps=0
--load_path=models/Breakout_1e7/baseline
--play
'''
import os
game_name = 'Tennis'
model_timesteps = '1e6'
methods = os.listdir('models/{}_{}'.format(game_name, model_timesteps))
f = open('test_cmd_{}_{}.txt'.format(game_name, model_... | 30.083333 | 71 | 0.610803 | '''
python -m baselines.run
--alg=deepq
--env=BreakoutNoFrameskip-v4
--num_timesteps=0
--load_path=models/Breakout_1e7/baseline
--play
'''
import os
game_name = 'Tennis'
model_timesteps = '1e6'
methods = os.listdir('models/{}_{}'.format(game_name, model_timesteps))
f = open('test_cmd_{}_{}.txt'.format(game_name, model_... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
d2a2fd0d5a9ffb87b1df0252da7cfe7bb7509a34 | 152 | py | Python | pomdp_problems/osm_mos/models/__init__.py | beckymathew/pomdp-py | 4864514277e49dee4b7c3fb303970de7b6a888ea | [
"MIT"
] | 87 | 2020-02-16T03:12:10.000Z | 2022-03-31T08:38:10.000Z | pomdp_problems/osm_mos/models/__init__.py | beckymathew/pomdp-py | 4864514277e49dee4b7c3fb303970de7b6a888ea | [
"MIT"
] | 15 | 2020-08-01T00:25:33.000Z | 2022-02-19T22:37:11.000Z | pomdp_problems/osm_mos/models/__init__.py | beckymathew/pomdp-py | 4864514277e49dee4b7c3fb303970de7b6a888ea | [
"MIT"
] | 26 | 2020-02-20T01:15:33.000Z | 2022-03-30T16:21:37.000Z | """**Defines models, including transition, observation, reward, policy; Also
includes additional components such as the sensor model and grid map.**"""
| 50.666667 | 76 | 0.769737 | """**Defines models, including transition, observation, reward, policy; Also
includes additional components such as the sensor model and grid map.**"""
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
1dcdbf88626caad0026f820c158a2011e9287b31 | 1,099 | bzl | Python | deps/hive/repository.bzl | y0psolo/YAD | 0f1f9c5140687345dee591667793d6f8ed6e29e5 | [
"Apache-2.0"
] | 1 | 2021-11-05T09:13:57.000Z | 2021-11-05T09:13:57.000Z | deps/hive/repository.bzl | y0psolo/YAD | 0f1f9c5140687345dee591667793d6f8ed6e29e5 | [
"Apache-2.0"
] | 9 | 2021-12-02T13:25:52.000Z | 2022-01-26T14:24:05.000Z | deps/hive/repository.bzl | y0psolo/YAD | 0f1f9c5140687345dee591667793d6f8ed6e29e5 | [
"Apache-2.0"
] | null | null | null | load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive", "http_file")
| 43.96 | 141 | 0.689718 | load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive", "http_file")
def hive_repository():
http_archive(
name = "hive_metastore_3",
build_file = "//ext/hivemetastore:BUILD",
sha256 = "a2e9fb781e1b86c066d2f9c71f0210ad161bc0bd791e5999c325ffbd4354c190",
strip_prefix = "ap... | 0 | 0 | 0 | 0 | 0 | 994 | 0 | 0 | 23 |
c52412dcade129e6a09942461626c5bd366a5d2b | 269 | py | Python | src/google_music_utils/__init__.py | thebigmunch/google-music-utils | a562d36ade47992679daa2a97956773e30f131a1 | [
"MIT"
] | 2 | 2019-04-24T09:37:25.000Z | 2020-10-22T15:05:26.000Z | src/google_music_utils/__init__.py | thebigmunch/google-music-utils | a562d36ade47992679daa2a97956773e30f131a1 | [
"MIT"
] | 1 | 2020-08-17T13:52:53.000Z | 2020-08-17T13:52:53.000Z | src/google_music_utils/__init__.py | thebigmunch/google-music-utils | a562d36ade47992679daa2a97956773e30f131a1 | [
"MIT"
] | 1 | 2020-08-17T13:49:45.000Z | 2020-08-17T13:49:45.000Z |
__all__ = [
*__about__.__all__,
*compare.__all__,
*constants.__all__,
*filter.__all__,
*metadata.__all__,
*misc.__all__,
]
| 16.8125 | 24 | 0.724907 | from .__about__ import *
from .compare import *
from .constants import *
from .filter import *
from .metadata import *
from .misc import *
__all__ = [
*__about__.__all__,
*compare.__all__,
*constants.__all__,
*filter.__all__,
*metadata.__all__,
*misc.__all__,
]
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 132 |
7bae2575c20fa68246099177d14649c192346b89 | 1,224 | py | Python | help/models.py | asysc2020/contentbox | 5c155976e0ce7ea308d62293ab89624d97b21d09 | [
"Apache-2.0"
] | 39 | 2015-06-10T23:18:07.000Z | 2021-10-21T04:29:06.000Z | help/models.py | asysc2020/contentbox | 5c155976e0ce7ea308d62293ab89624d97b21d09 | [
"Apache-2.0"
] | 2 | 2016-08-22T12:38:10.000Z | 2017-01-26T18:37:33.000Z | help/models.py | asysc2020/contentbox | 5c155976e0ce7ea308d62293ab89624d97b21d09 | [
"Apache-2.0"
] | 26 | 2015-06-10T22:09:15.000Z | 2021-06-27T15:45:15.000Z | # Copyright 2015 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable ... | 31.384615 | 75 | 0.694444 | # Copyright 2015 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable ... | 0 | 0 | 0 | 531 | 0 | 0 | 0 | 7 | 75 |
c59c3389e9bb4d6d596e4c774369b19e98ff09b6 | 186 | py | Python | a.py | danhab05/bacfrancais-ozar | 8171ef704ad08bfdf2dda3907772685ee52216b2 | [
"MIT"
] | null | null | null | a.py | danhab05/bacfrancais-ozar | 8171ef704ad08bfdf2dda3907772685ee52216b2 | [
"MIT"
] | null | null | null | a.py | danhab05/bacfrancais-ozar | 8171ef704ad08bfdf2dda3907772685ee52216b2 | [
"MIT"
] | null | null | null | import requests
try:
response = requests.get("https://raw.githubusercontent.com/danhab05/bacfrancais-ozar/master/msg.txt")
msg = response.text
except Exception as e:
print(e) | 31 | 105 | 0.741935 | import requests
try:
response = requests.get("https://raw.githubusercontent.com/danhab05/bacfrancais-ozar/master/msg.txt")
msg = response.text
except Exception as e:
print(e) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
efa8c969897ba2d982f69a1d4bb36808523885d0 | 91 | py | Python | main.py | pumassv1/FlappyBird | be82593435ea8c286816d90fe97b1b29b34ba77d | [
"MIT"
] | null | null | null | main.py | pumassv1/FlappyBird | be82593435ea8c286816d90fe97b1b29b34ba77d | [
"MIT"
] | null | null | null | main.py | pumassv1/FlappyBird | be82593435ea8c286816d90fe97b1b29b34ba77d | [
"MIT"
] | null | null | null | import GameManager
if __name__ == '__main__':
GameManager.GameManager().game_loop()
| 13 | 41 | 0.725275 | import GameManager
if __name__ == '__main__':
GameManager.GameManager().game_loop()
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
f0f92c20e0e010fd6a9aaa13e50a6539ca32d80b | 36 | py | Python | testing/conftest.py | cdunklau/pytest-twisted | 9662dc74c9eb4c811238341c8beb67147fd7d6bb | [
"BSD-3-Clause"
] | null | null | null | testing/conftest.py | cdunklau/pytest-twisted | 9662dc74c9eb4c811238341c8beb67147fd7d6bb | [
"BSD-3-Clause"
] | null | null | null | testing/conftest.py | cdunklau/pytest-twisted | 9662dc74c9eb4c811238341c8beb67147fd7d6bb | [
"BSD-3-Clause"
] | null | null | null | pytest_plugins = "_pytest.pytester"
| 18 | 35 | 0.805556 | pytest_plugins = "_pytest.pytester"
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
22205fde61740520af75862d5eb2109b026f85da | 822 | py | Python | tool/pretty_print.py | MageWeiG/karonte | 2ffe649557adccdd3c2c77c0ae0a5f27a385fdcb | [
"BSD-2-Clause"
] | 1 | 2021-04-15T12:00:56.000Z | 2021-04-15T12:00:56.000Z | tool/pretty_print.py | cascades-sjtu/karonte | 2ffe649557adccdd3c2c77c0ae0a5f27a385fdcb | [
"BSD-2-Clause"
] | null | null | null | tool/pretty_print.py | cascades-sjtu/karonte | 2ffe649557adccdd3c2c77c0ae0a5f27a385fdcb | [
"BSD-2-Clause"
] | 1 | 2021-06-09T07:37:59.000Z | 2021-06-09T07:37:59.000Z | import subprocess as sp
import sys
try:
res_path = sys.argv[1]
except:
print "Usage: {} karonte_result_file".format(sys.argv[0])
sys.exit(1)
o, e = exec_cmd("grep -r 'Sink' {} | sort | cut -d\" \" -f1-5 |sort|uniq ".format(res_path))
counter = 1
alerts = [x for x in o.split('\n') if x]
for alert in ale... | 28.344828 | 92 | 0.508516 | import subprocess as sp
import sys
def exec_cmd(cmd):
p = sp.Popen(cmd, stdout=sp.PIPE,
stderr=sp.PIPE,
stdin=sp.PIPE, shell=True)
return p.communicate()
try:
res_path = sys.argv[1]
except:
print "Usage: {} karonte_result_file".format(sys.argv[0])
sys.exit(1)
o... | 0 | 0 | 0 | 0 | 0 | 139 | 0 | 0 | 23 |
aa8b58965f14c21450f4461dd381678cbd10e333 | 292 | py | Python | accredible_certificate/urls.py | gymnasium/accredible | 6af763d0ed6342b60063156252630a3517ccf9c9 | [
"MIT"
] | null | null | null | accredible_certificate/urls.py | gymnasium/accredible | 6af763d0ed6342b60063156252630a3517ccf9c9 | [
"MIT"
] | 1 | 2021-07-14T09:41:40.000Z | 2021-09-09T08:38:30.000Z | accredible_certificate/urls.py | gymnasium/accredible | 6af763d0ed6342b60063156252630a3517ccf9c9 | [
"MIT"
] | 2 | 2021-04-27T18:54:58.000Z | 2021-04-27T18:56:10.000Z | from django.conf.urls import url
from views import request_certificate
from views import update_certificate
urlpatterns = [
url(r'^request_certificate$', request_certificate, name='request_certificate'),
url(r'^update_certificate$', update_certificate, name='update_certificate')
]
| 29.2 | 83 | 0.794521 | from django.conf.urls import url
from views import request_certificate
from views import update_certificate
urlpatterns = [
url(r'^request_certificate$', request_certificate, name='request_certificate'),
url(r'^update_certificate$', update_certificate, name='update_certificate')
]
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
f92aa2b10021aa616f6c7921d8ffd714203aff4c | 2,914 | py | Python | workspace/lstm.py | kingaza/keras-gp | 0b62224d2fd727143c70385a0a5b40bdc09c5bd8 | [
"MIT"
] | null | null | null | workspace/lstm.py | kingaza/keras-gp | 0b62224d2fd727143c70385a0a5b40bdc09c5bd8 | [
"MIT"
] | null | null | null | workspace/lstm.py | kingaza/keras-gp | 0b62224d2fd727143c70385a0a5b40bdc09c5bd8 | [
"MIT"
] | null | null | null | """
LSTM regression on Actuator data.
"""
from __future__ import print_function
import numpy as np
np.random.seed(42)
# Keras
# Model assembling and executing
# Metrics
if __name__ == '__main__':
main()
| 26.490909 | 78 | 0.630405 | """
LSTM regression on Actuator data.
"""
from __future__ import print_function
import numpy as np
np.random.seed(42)
# Keras
from keras.optimizers import Adagrad, Adam, SGD, RMSprop
from keras.callbacks import EarlyStopping
# Model assembling and executing
from kgp.utils.assemble import load_NN_configs, assemble
fr... | 0 | 0 | 0 | 0 | 0 | 2,379 | 0 | 141 | 179 |
4added1dcf5282a6a76f81b50fe069ac71b6ba40 | 396 | py | Python | scripts/deploy_rinkeby.py | taronsung/registry | 2271af2cb5d4ed2fdeeb9f5e1958895437129f60 | [
"MIT"
] | 9 | 2021-12-15T18:17:32.000Z | 2022-03-05T03:01:41.000Z | scripts/deploy_rinkeby.py | taronsung/registry | 2271af2cb5d4ed2fdeeb9f5e1958895437129f60 | [
"MIT"
] | null | null | null | scripts/deploy_rinkeby.py | taronsung/registry | 2271af2cb5d4ed2fdeeb9f5e1958895437129f60 | [
"MIT"
] | 9 | 2021-09-26T13:35:28.000Z | 2022-03-22T03:49:50.000Z |
RINKEBY_RESOLVER_ADDRESS = "0x5713a9cCdB31fBa207Fc4Fac7ee398eab3ecB3A6"
| 17.217391 | 71 | 0.646465 | from brownie import (
Registry,
accounts,
)
RINKEBY_RESOLVER_ADDRESS = "0x5713a9cCdB31fBa207Fc4Fac7ee398eab3ecB3A6"
def main():
a = accounts.load("renft-test-1")
beneficiary, admin = a, a
from_a = {"from": a}
registry = Registry.deploy(
RINKEBY_RESOLVER_ADDRESS,
beneficiary,... | 0 | 0 | 0 | 0 | 0 | 248 | 0 | 30 | 45 |
3a9219b0c39486bea2f7a119107987d88d463d77 | 7,570 | py | Python | ringity/tests/test_ring_score_flavours.py | ClusterDuck123/ringity | 44505d192b72a1d47f6b7b0a90f0db83d98b6156 | [
"MIT"
] | null | null | null | ringity/tests/test_ring_score_flavours.py | ClusterDuck123/ringity | 44505d192b72a1d47f6b7b0a90f0db83d98b6156 | [
"MIT"
] | null | null | null | ringity/tests/test_ring_score_flavours.py | ClusterDuck123/ringity | 44505d192b72a1d47f6b7b0a90f0db83d98b6156 | [
"MIT"
] | null | null | null | import unittest
from ringity.ring_scores import (gap_ring_score, geometric_ring_score, linear_ring_score, amplitude_ring_score, entropy_ring_score)
all_ring_scores = {
gap_ring_score,
geometric_ring_score,
linear_ring_score,
amplitude_ring_score,
entropy_ring_score
}
i... | 41.36612 | 87 | 0.570542 | import inspect
import unittest
import numpy as np
from ringity.ring_scores import (
gap_ring_score,
geometric_ring_score,
linear_ring_score,
amplitude_ring_score,
entropy_ring_sco... | 0 | 0 | 0 | 6,583 | 0 | 258 | 0 | 131 | 113 |
a766d4b53b3f09d8e3c9a8580a681b0f972d74e1 | 19,914 | py | Python | cleanup_manager.py | univ-of-utah-marriott-library-apple/trashman | dbe079d2b6d960727aa9f0c2e49fecb3f7fff7d0 | [
"MIT"
] | 26 | 2015-03-09T20:48:03.000Z | 2020-07-10T16:57:11.000Z | cleanup_manager.py | univ-of-utah-marriott-library-apple/trashman | dbe079d2b6d960727aa9f0c2e49fecb3f7fff7d0 | [
"MIT"
] | 8 | 2015-02-27T01:03:55.000Z | 2015-05-27T22:01:42.000Z | cleanup_manager.py | univ-of-utah-marriott-library-apple/trashman | dbe079d2b6d960727aa9f0c2e49fecb3f7fff7d0 | [
"MIT"
] | 2 | 2016-01-05T17:11:09.000Z | 2020-07-10T16:57:12.000Z | #!/usr/bin/env python
import cleanup_management
import argparse
import datetime
import os
import re
import sys
import time
try:
from management_tools import loggers
from management_tools import fs_analysis as fsa
# Check for MT version 1.8.1
if not "bytes" in dir(fsa.Filesystem):
raise Impor... | 37.931429 | 259 | 0.634227 | #!/usr/bin/env python
import cleanup_management
import argparse
import datetime
import os
import re
import sys
import time
try:
from management_tools import loggers
from management_tools import fs_analysis as fsa
# Check for MT version 1.8.1
if not "bytes" in dir(fsa.Filesystem):
raise Impor... | 0 | 0 | 0 | 0 | 0 | 2,832 | 0 | 0 | 23 |
7c070276fab5338ad41e70f47fe89aa56cc475ae | 14,302 | py | Python | datablend/core/widgets/tidy.py | bahp/datablend | f0b69a012af6ea7cedc9210d46b3047d8e0bf504 | [
"FTL",
"RSA-MD",
"CECILL-B"
] | null | null | null | datablend/core/widgets/tidy.py | bahp/datablend | f0b69a012af6ea7cedc9210d46b3047d8e0bf504 | [
"FTL",
"RSA-MD",
"CECILL-B"
] | 1 | 2021-05-26T13:09:08.000Z | 2021-05-26T13:09:08.000Z | datablend/core/widgets/tidy.py | bahp/datablend | f0b69a012af6ea7cedc9210d46b3047d8e0bf504 | [
"FTL",
"RSA-MD",
"CECILL-B"
] | null | null | null | # Libraries
import pandas as pd
# DataBlend Library
# --------------------------------------------
# Methods
# --------------------------------------------
def fillna_levels(data):
"""Fill nan for levels.
.. note: Fill with 0?
.. note: Fill interpolated if values found?
"""
# Columns containing ... | 27.933594 | 87 | 0.539155 | # Libraries
import copy
import numpy as np
import pandas as pd
# DataBlend Library
from datablend.core.widgets.base import BaseWidget
from datablend.core.consistency import report_unique_value
from datablend.utils.pandas import str2func
# --------------------------------------------
# Methods
# ----------------------... | 0 | 0 | 0 | 12,352 | 0 | 0 | 0 | 75 | 225 |
abcb88cbe5d73105b047caca971e4db3714f84d2 | 3,193 | py | Python | rodolphe/utils/templatetags/markup.py | entwanne/Rodolphe | 6187ef2af0033eb2de22268930d4cb72df73ff1d | [
"BSD-2-Clause"
] | 3 | 2015-01-28T08:40:54.000Z | 2015-02-18T15:35:31.000Z | rodolphe/utils/templatetags/markup.py | entwanne/Rodolphe | 6187ef2af0033eb2de22268930d4cb72df73ff1d | [
"BSD-2-Clause"
] | 5 | 2015-01-27T19:18:03.000Z | 2015-02-02T13:52:10.000Z | rodolphe/utils/templatetags/markup.py | entwanne/Rodolphe | 6187ef2af0033eb2de22268930d4cb72df73ff1d | [
"BSD-2-Clause"
] | null | null | null | from django import template
register = template.Library()
disable_images = DisableImagesExtension()
more_style = MoreStyleExtension()
post_references = PostReferencesExtension()
dottags = DottagsExtension()
| 35.477778 | 80 | 0.625431 | from django import template
from django.template.defaultfilters import stringfilter
from django.utils.safestring import mark_safe
from django.core.urlresolvers import reverse
from main.models import Post
from utils.templatetags.post_color import post_color
import markdown
register = template.Library()
class Disabl... | 0 | 361 | 0 | 2,209 | 0 | 0 | 0 | 113 | 295 |
84327810ccdee89f192c4303c42f9b18872d2775 | 1,365 | py | Python | android/android_9/frameworks/rs/tests/lldb/tests/testcases/test_language.py | yakuizhao/intel-vaapi-driver | b2bb0383352694941826543a171b557efac2219b | [
"MIT"
] | null | null | null | android/android_9/frameworks/rs/tests/lldb/tests/testcases/test_language.py | yakuizhao/intel-vaapi-driver | b2bb0383352694941826543a171b557efac2219b | [
"MIT"
] | null | null | null | android/android_9/frameworks/rs/tests/lldb/tests/testcases/test_language.py | yakuizhao/intel-vaapi-driver | b2bb0383352694941826543a171b557efac2219b | [
"MIT"
] | null | null | null | # Copyright (C) 2016 The Android Open Source Project
#
# 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 ... | 34.125 | 74 | 0.637363 | # Copyright (C) 2016 The Android Open Source Project
#
# 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 ... | 0 | 0 | 0 | 594 | 0 | 0 | 0 | 32 | 46 |
a422741767c6974b9cf6a2e8c40f43ffef9452f5 | 65 | py | Python | detector/models/__init__.py | insightcs/CenterNet | 277ab04321285023ce4f0f2e7d81ef52252d4019 | [
"MIT"
] | null | null | null | detector/models/__init__.py | insightcs/CenterNet | 277ab04321285023ce4f0f2e7d81ef52252d4019 | [
"MIT"
] | null | null | null | detector/models/__init__.py | insightcs/CenterNet | 277ab04321285023ce4f0f2e7d81ef52252d4019 | [
"MIT"
] | 1 | 2019-08-15T02:28:32.000Z | 2019-08-15T02:28:32.000Z | # coding: utf-8
# @Author: oliver
# @Date: 2019-07-14 18:50:35
| 16.25 | 30 | 0.615385 | # coding: utf-8
# @Author: oliver
# @Date: 2019-07-14 18:50:35
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
821c1cb024ace41399ce88b1b14b051eef02c0b9 | 968 | py | Python | tests/test_cmakeutil.py | python-cmaketools/python-cmaketools | c7988584ff3ee0a873a8cbb03997a80f16efc93b | [
"MIT"
] | 19 | 2020-06-29T19:25:31.000Z | 2022-03-27T13:48:15.000Z | tests/test_cmakeutil.py | python-cmaketools/python-cmaketools | c7988584ff3ee0a873a8cbb03997a80f16efc93b | [
"MIT"
] | 2 | 2020-08-11T02:03:57.000Z | 2020-11-26T16:05:49.000Z | tests/test_cmakeutil.py | python-cmaketools/python-cmaketools | c7988584ff3ee0a873a8cbb03997a80f16efc93b | [
"MIT"
] | 1 | 2021-07-28T04:45:54.000Z | 2021-07-28T04:45:54.000Z |
# findexe(cmd)
# run(*args, path=findexe("cmake"), **runargs)
# validate(cmakePath=findexe("cmake"))
# configured(buildDir)
# clear(buildDir)
# configure(
# root_dir,
# build_dir,
# *args,
# build_type="Release",
# cmakePath=findexe("cmake"),
# need_msvc=False,
# **kwargs,
# )
# build(
# ... | 22.511628 | 78 | 0.643595 | import pytest
import cmakeutils
def test_hello():
hello.say_hello()
# findexe(cmd)
# run(*args, path=findexe("cmake"), **runargs)
# validate(cmakePath=findexe("cmake"))
# configured(buildDir)
# clear(buildDir)
# configure(
# root_dir,
# build_dir,
# *args,
# build_type="Release",
# cmakePath=f... | 0 | 0 | 0 | 0 | 0 | 18 | 0 | -12 | 67 |
1e5200e1c4f80d9919e68f8b767d93b22a65ef04 | 9,682 | py | Python | sourcecode/final.py | 18101224/final | 5b5351db843a7fbe3bcf56ea26cf5c78c2067840 | [
"MIT"
] | null | null | null | sourcecode/final.py | 18101224/final | 5b5351db843a7fbe3bcf56ea26cf5c78c2067840 | [
"MIT"
] | null | null | null | sourcecode/final.py | 18101224/final | 5b5351db843a7fbe3bcf56ea26cf5c78c2067840 | [
"MIT"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import statsmodels.formula.api as smf
pcr=np.array(data('pcr.txt'))#pcr
vaccine=np.array(data('vaccine.txt'))#vaccine 1 2 3 AZ1 AZ2 F1 F2 Y1 M1 M2 F3 M3 Y3
lmp='local maximum point'
#
x=np.linspace(pcr.T[0].min(),pcr.T[0].max(),len(pcr.T[0])... | 45.242991 | 125 | 0.524375 | import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import statsmodels.formula.api as smf
from scipy import stats
def data(filename):
f= open(filename,'r')
data=[]
i=1
for line in f.readlines():
newline=line.split()
newline[0]=i #날짜는 그냥 경과일로
i+=1
for in... | 3,012 | 0 | 0 | 0 | 0 | 998 | 0 | 2 | 132 |
c512aa92c383df3f1dcf5bb0e62ce0d0f68db5be | 4,345 | py | Python | tests/testPandas.py | paszkow/AMICI | a0407673453d6e18a9abec5b6f73758dd09f7aaf | [
"BSD-3-Clause"
] | null | null | null | tests/testPandas.py | paszkow/AMICI | a0407673453d6e18a9abec5b6f73758dd09f7aaf | [
"BSD-3-Clause"
] | null | null | null | tests/testPandas.py | paszkow/AMICI | a0407673453d6e18a9abec5b6f73758dd09f7aaf | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python3
"""Tests for ``amici.pandas``"""
import unittest
if __name__ == '__main__':
suite = unittest.TestSuite()
suite.addTest(TestAmiciPandasImportExport())
unittest.main()
| 33.945313 | 80 | 0.502186 | #!/usr/bin/env python3
"""Tests for ``amici.pandas``"""
import sys
import amici
import unittest
import os
import copy
import numpy as np
import itertools
class TestAmiciPandasImportExport(unittest.TestCase):
"""
TestCase class for testing csv import using pandas
"""
def setUp(self):
self.de... | 0 | 0 | 0 | 4,034 | 0 | 0 | 0 | -50 | 156 |
0ac753e49f2cb4a101e3401e052d2ae468ef4b7e | 15,675 | py | Python | tg_bot/modules/blacklist2.py | shubhanshdj/AlexaRobot | 8a94c1f81df10efa7e5208572154794a097117ea | [
"MIT"
] | 1 | 2020-11-30T10:14:15.000Z | 2020-11-30T10:14:15.000Z | tg_bot/modules/blacklist2.py | pro-boy/AlexaRobot | 8a94c1f81df10efa7e5208572154794a097117ea | [
"MIT"
] | null | null | null | tg_bot/modules/blacklist2.py | pro-boy/AlexaRobot | 8a94c1f81df10efa7e5208572154794a097117ea | [
"MIT"
] | 2 | 2020-12-03T05:45:52.000Z | 2021-12-24T13:33:42.000Z | from telegram.ext import CommandHandler, MessageHandler, Filters
from tg_bot import dispatcher
from tg_bot.modules.disable import DisableAbleCommandHandler
__help__ = """
Blacklist sticker is used to stop certain stickers. Whenever a sticker is sent, the message will be deleted immediately.
*NOTE:* Blacklist stic... | 40.926893 | 186 | 0.726699 | import html
from typing import Optional, List
import telegram.ext as tg
from telegram import Message, Chat, Update, Bot, ParseMode, User, MessageEntity
from telegram import TelegramError
from telegram.error import BadRequest
from telegram.ext import CommandHandler, MessageHandler, Filters
from telegram.ext.dispatcher ... | 0 | 12,412 | 0 | 0 | 0 | 469 | 0 | 539 | 584 |
e5417681d7dbdb45c5a95e4b7a45735e6c816470 | 2,081 | py | Python | src/rogerthat/models/forms.py | goubertbrent/oca-backend | b9f59cc02568aecb55d4b54aec05245790ea25fd | [
"Apache-2.0"
] | null | null | null | src/rogerthat/models/forms.py | goubertbrent/oca-backend | b9f59cc02568aecb55d4b54aec05245790ea25fd | [
"Apache-2.0"
] | null | null | null | src/rogerthat/models/forms.py | goubertbrent/oca-backend | b9f59cc02568aecb55d4b54aec05245790ea25fd | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright 2020 Green Valley Belgium NV
#
# 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 appl... | 33.031746 | 99 | 0.731379 | # -*- coding: utf-8 -*-
# Copyright 2020 Green Valley Belgium NV
#
# 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 appl... | 0 | 500 | 0 | 752 | 0 | 0 | 0 | 50 | 137 |
4202c94c4a49de158b5aeecaceedfb58fe27e261 | 2,796 | py | Python | examples/FastAPI/fastapi_with_authentication_example_app.py | y-tree-limited/pyctuator | 70ebdebf263c727fa8245cc706c451ffa54468e8 | [
"Apache-2.0"
] | 118 | 2020-04-26T14:32:57.000Z | 2022-03-28T08:46:32.000Z | examples/FastAPI/fastapi_with_authentication_example_app.py | y-tree-limited/pyctuator | 70ebdebf263c727fa8245cc706c451ffa54468e8 | [
"Apache-2.0"
] | 63 | 2020-04-29T03:38:40.000Z | 2021-12-29T21:54:52.000Z | examples/FastAPI/fastapi_with_authentication_example_app.py | y-tree-limited/pyctuator | 70ebdebf263c727fa8245cc706c451ffa54468e8 | [
"Apache-2.0"
] | 10 | 2020-04-28T10:00:25.000Z | 2021-11-17T16:32:00.000Z | import logging
from fastapi import FastAPI
from uvicorn import Server
from uvicorn.config import Config
from pyctuator.pyctuator import Pyctuator
my_logger = logging.getLogger("example")
username = "u1"
password = "p2"
security = SimplisticBasicAuth(username, password)
app = FastAPI(
title="FastAPI Example ... | 31.772727 | 117 | 0.723176 | import datetime
import logging
import random
import secrets
from fastapi import FastAPI, Depends, APIRouter, HTTPException
from fastapi.security import HTTPBasicCredentials, HTTPBasic
from starlette import status
from uvicorn import Server
from uvicorn.config import Config
from pyctuator.pyctuator import Pyctuator
m... | 0 | 224 | 0 | 857 | 0 | 88 | 0 | 60 | 179 |
0f3bde7a5f16b1078aca2269753ccd57a1af5b08 | 3,978 | py | Python | d2l-en/d2l/data/base.py | mru4913/Object-Detection-in-Python | bcd16ac602f011292bd1d5540ef3833cd3fd7c72 | [
"MIT"
] | null | null | null | d2l-en/d2l/data/base.py | mru4913/Object-Detection-in-Python | bcd16ac602f011292bd1d5540ef3833cd3fd7c72 | [
"MIT"
] | null | null | null | d2l-en/d2l/data/base.py | mru4913/Object-Detection-in-Python | bcd16ac602f011292bd1d5540ef3833cd3fd7c72 | [
"MIT"
] | null | null | null | import os
def load_data_time_machine(num_examples=10000):
"""Load the time machine data set (available in the English book)."""
with open('../data/timemachine.txt') as f:
raw_text = f.read()
lines = raw_text.split('\n')
text = ' '.join(' '.join(lines).lower().split())[:num_examples]
vocab ... | 41.010309 | 78 | 0.655103 | import os
import random
import numpy as np
import zipfile
import collections
from mxnet import nd, gluon
from mxnet.gluon import utils as gutils, data as gdata
def data_iter_consecutive(corpus_indices, batch_size, num_steps, ctx=None):
"""Sample mini-batches in a consecutive order from sequential data."""
# O... | 0 | 0 | 0 | 1,328 | 1,843 | 0 | 0 | 18 | 201 |
7e07daafd8a6a7a05ed4dc0e050f30d6cb88cba4 | 7,592 | py | Python | cadence/parsers/txtparsing.py | quadrismegistus/cadence | 580c98d7030a18f093ffc8040e241210c7ffec3c | [
"MIT"
] | 12 | 2021-03-29T17:41:26.000Z | 2022-02-03T07:30:05.000Z | cadence/parsers/txtparsing.py | quadrismegistus/cadence | 580c98d7030a18f093ffc8040e241210c7ffec3c | [
"MIT"
] | 1 | 2021-03-30T11:12:44.000Z | 2021-03-30T14:56:50.000Z | cadence/parsers/txtparsing.py | quadrismegistus/cadence | 580c98d7030a18f093ffc8040e241210c7ffec3c | [
"MIT"
] | 3 | 2021-03-29T18:52:27.000Z | 2022-01-15T06:50:21.000Z |
# loading txt/strings
# def to_lineparts(linetxt,seps=set(',:;()[].!?'),min_len=1,max_len=25):
# o=[]
# for sent in to_sents_str(linetxt):
# toks=tokenize_agnostic(sent)
# ophrase=[]
# for tok in toks:
# ophrase+=[tok]
# # print(tok,ophrases)
# ... | 28.223048 | 104 | 0.585485 | from ..imports import *
# loading txt/strings
def to_txt(txt_or_fn):
# load txt
if not txt_or_fn: return
if os.path.exists(txt_or_fn):
with open(txt_or_fn,encoding='utf-8',errors='replace') as f:
txt=f.read()
else:
txt=txt_or_fn
# clean?
txt=txt.replace(... | 15 | 0 | 0 | 0 | 2,304 | 3,451 | 0 | 2 | 330 |
2d911aa0e859a155d922fad698df5359ad99763e | 3,681 | py | Python | assignment_1/code/mlp_numpy.py | askliar/deep_learning | e61b2391a3258d18719bf12d9ed1404620ce6c02 | [
"MIT"
] | null | null | null | assignment_1/code/mlp_numpy.py | askliar/deep_learning | e61b2391a3258d18719bf12d9ed1404620ce6c02 | [
"MIT"
] | null | null | null | assignment_1/code/mlp_numpy.py | askliar/deep_learning | e61b2391a3258d18719bf12d9ed1404620ce6c02 | [
"MIT"
] | 2 | 2019-03-31T15:03:00.000Z | 2020-11-14T10:56:31.000Z | """
This module implements a multi-layer perceptron (MLP) in NumPy.
You should fill in code into indicated sections.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
| 31.194915 | 106 | 0.589785 | """
This module implements a multi-layer perceptron (MLP) in NumPy.
You should fill in code into indicated sections.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from modules import *
from functools import reduce
class MLP(object):
"""
This clas... | 0 | 0 | 0 | 3,375 | 0 | 0 | 0 | 7 | 69 |
d143fc27b9190e03cf527fd6bd1f70e0e680e691 | 520 | py | Python | wodoo/wait/tcp.py | mt-software-de/wodoo | 251d33b4bde69c6f7a0f4b4b83933f59c276b861 | [
"MIT"
] | 1 | 2022-01-17T13:09:52.000Z | 2022-01-17T13:09:52.000Z | wodoo/wait/tcp.py | mt-software-de/wodoo | 251d33b4bde69c6f7a0f4b4b83933f59c276b861 | [
"MIT"
] | 1 | 2022-03-29T07:55:35.000Z | 2022-03-29T07:55:35.000Z | wodoo/wait/tcp.py | mt-software-de/wodoo | 251d33b4bde69c6f7a0f4b4b83933f59c276b861 | [
"MIT"
] | 2 | 2022-01-27T15:27:54.000Z | 2022-02-25T10:08:07.000Z | #!/usr/bin/env python
# vim: tabstop=4 expandtab shiftwidth=4 softtabstop=4
| 18.571429 | 59 | 0.642308 | #!/usr/bin/env python
import socket
from .decorator import timeout
@timeout
def closed(port, host='localhost', timeout=300):
try:
s = socket.create_connection((host, port), timeout)
s.close()
except socket.error:
return True
@timeout
def open(port, host='localhost', timeout=300):
... | 0 | 347 | 0 | 0 | 0 | 0 | 0 | 1 | 92 |
01b51c4da25c877ec4d36b1334c1a8568a1ae211 | 1,282 | py | Python | ocr/extract_pdf.py | mxbi/zoomintobooks | 7b46020e67005a50abed8a50b62a65409e707ad1 | [
"CC0-1.0"
] | 3 | 2021-07-22T10:45:42.000Z | 2021-11-04T07:21:17.000Z | ocr/extract_pdf.py | mxbi/zoomintobooks | 7b46020e67005a50abed8a50b62a65409e707ad1 | [
"CC0-1.0"
] | null | null | null | ocr/extract_pdf.py | mxbi/zoomintobooks | 7b46020e67005a50abed8a50b62a65409e707ad1 | [
"CC0-1.0"
] | null | null | null | from pdfminer.converter import TextConverter
from pdfminer.layout import LAParams
from pdfminer.pdfdocument import PDFDocument
from pdfminer.pdfinterp import PDFResourceManager, PDFPageInterpreter
from pdfminer.pdfpage import PDFPage
from pdfminer.pdfparser import PDFParser
from io import StringIO
import sys
... | 27.276596 | 85 | 0.680187 | from pdfminer.converter import TextConverter
from pdfminer.layout import LAParams
from pdfminer.pdfdocument import PDFDocument
from pdfminer.pdfinterp import PDFResourceManager, PDFPageInterpreter
from pdfminer.pdfpage import PDFPage
from pdfminer.pdfparser import PDFParser
from io import StringIO
import sys
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 23 |
120c9556aef60cedb0a66ff92b148942acafadb3 | 2,665 | py | Python | curate_export/test_clean_up_standard_json.py | ndlib/mellon-manifest-pipeline | aa90494e73fbc30ce701771ac653d28d533217db | [
"Apache-2.0"
] | 1 | 2021-06-27T15:16:13.000Z | 2021-06-27T15:16:13.000Z | curate_export/test_clean_up_standard_json.py | ndlib/marble-manifest-pipeline | abc036e4c81a8a5e938373a43153e2492a17cbf8 | [
"Apache-2.0"
] | 8 | 2019-11-05T18:58:23.000Z | 2021-09-03T14:54:42.000Z | curate_export/test_clean_up_standard_json.py | ndlib/mellon-manifest-pipeline | aa90494e73fbc30ce701771ac653d28d533217db | [
"Apache-2.0"
] | null | null | null | # test_clean_up_standard_json.py
""" test clean_up_standard_json """
import unittest
# import json
import os
local_folder = os.path.dirname(os.path.realpath(__file__)) + "/"
def suite():
""" define test suite """
return unittest.TestLoader().loadTestsFromTestCase(Test)
if __name__ == '__main__':
suit... | 36.506849 | 99 | 0.510319 | # test_clean_up_standard_json.py
""" test clean_up_standard_json """
import _set_path # noqa
import unittest
# import json
import os
from pathlib import Path
from clean_up_standard_json import _fix_level, _fix_ids
from pipelineutilities.pipeline_config import setup_pipeline_config # noqa: E402
local_folder = os.pat... | 0 | 0 | 0 | 2,110 | 0 | 0 | 0 | 78 | 133 |
48052446b3a90685e9fccf777a5da9bfcd043995 | 187 | py | Python | ABC/141/b.py | fumiyanll23/AtCoder | 362ca9fcacb5415c1458bc8dee5326ba2cc70b65 | [
"MIT"
] | null | null | null | ABC/141/b.py | fumiyanll23/AtCoder | 362ca9fcacb5415c1458bc8dee5326ba2cc70b65 | [
"MIT"
] | null | null | null | ABC/141/b.py | fumiyanll23/AtCoder | 362ca9fcacb5415c1458bc8dee5326ba2cc70b65 | [
"MIT"
] | null | null | null | S = str(input())
flag = True
for i in range(len(S)):
if i%2==0 and S[i]=="L":
flag = False
elif i%2!=0 and S[i]=="R":
flag = False
if flag:
print("Yes")
else:
print("No") | 15.583333 | 28 | 0.529412 | S = str(input())
flag = True
for i in range(len(S)):
if i%2==0 and S[i]=="L":
flag = False
elif i%2!=0 and S[i]=="R":
flag = False
if flag:
print("Yes")
else:
print("No") | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
4dd7bd9ef39a8e822b82d7d40959db6130910af9 | 221 | py | Python | desafios-py/intermediario/d0000-palindromo/d0000-palindromo-v0.py | Lsitjs/challenges-python | fbbfa4d7860ee8efa4d0d3eee4999ea379933224 | [
"MIT"
] | null | null | null | desafios-py/intermediario/d0000-palindromo/d0000-palindromo-v0.py | Lsitjs/challenges-python | fbbfa4d7860ee8efa4d0d3eee4999ea379933224 | [
"MIT"
] | null | null | null | desafios-py/intermediario/d0000-palindromo/d0000-palindromo-v0.py | Lsitjs/challenges-python | fbbfa4d7860ee8efa4d0d3eee4999ea379933224 | [
"MIT"
] | null | null | null |
palavra=input("Digite uma palavra: ")
x=0
y=len(palavra)-1
while x != len(palavra):
if palavra[x]==palavra[y]:
resp=' palndromo'
else:
resp='No palndromo'
y=y-1
x=x+1
print(resp)
| 13.8125 | 37 | 0.579186 |
palavra=input("Digite uma palavra: ")
x=0
y=len(palavra)-1
while x != len(palavra):
if palavra[x]==palavra[y]:
resp='É palíndromo'
else:
resp='Não é palíndromo'
y=y-1
x=x+1
print(resp)
| 10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
a1878cab6338abebe5e936ce8d4def614323fae8 | 2,416 | py | Python | src/create_outputs.py | Lakoc/bachelor_thesis | 685a81901ac19a318237772f24df1b1e94772b26 | [
"MIT"
] | null | null | null | src/create_outputs.py | Lakoc/bachelor_thesis | 685a81901ac19a318237772f24df1b1e94772b26 | [
"MIT"
] | null | null | null | src/create_outputs.py | Lakoc/bachelor_thesis | 685a81901ac19a318237772f24df1b1e94772b26 | [
"MIT"
] | null | null | null | from argparse import ArgumentParser
from os import listdir
from os.path import isfile, join
from shutil import copyfile
from progress.bar import Bar
from io_operations.load_files import load_stats_overall, load_texts, load_stats
from outputs.create_html_output import create_output
from helpers.dir_exist import create_i... | 43.927273 | 136 | 0.670116 | from argparse import ArgumentParser
from os import listdir
from os.path import isfile, join
from shutil import copyfile
from progress.bar import Bar
from io_operations.load_files import load_stats_overall, load_texts, load_stats
from outputs.create_html_output import create_output
from helpers.dir_exist import create_i... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
f3d3b25cf01beea5cdce98910551ed49ca2af088 | 1,038 | py | Python | plot.py | L-Limbu/Solar-system | e3a49982aac6d3d09e7c7dad3cfc2520ba3d93e9 | [
"MIT"
] | null | null | null | plot.py | L-Limbu/Solar-system | e3a49982aac6d3d09e7c7dad3cfc2520ba3d93e9 | [
"MIT"
] | null | null | null | plot.py | L-Limbu/Solar-system | e3a49982aac6d3d09e7c7dad3cfc2520ba3d93e9 | [
"MIT"
] | null | null | null | from data import initail
import numpy as np
data = np.load('./data/Orbits.npy')
Names = initail.Names
N = Names.shape[0]
plotxy()
plotxz() | 26.615385 | 78 | 0.617534 | from data import initail
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.font_manager import FontProperties
data = np.load('./data/Orbits.npy')
Names = initail.Names
N = Names.shape[0]
def plotxy():
Positions = data[:,:,(0,1)]
for k in range(N):
plt.plot(Positions[:,k,0], Position... | 0 | 0 | 0 | 0 | 0 | 763 | 0 | 39 | 90 |
3c4fe09e0f93b31f9c940807bb6257779ee35314 | 1,691 | py | Python | Supervised/Classification/NaiveBayes/classif_naive_bayes.py | neohope/MLStudy | bba16587e4f3efe11c926030f6bbcff6db0dde14 | [
"BSD-3-Clause"
] | 2 | 2018-12-31T08:10:36.000Z | 2020-04-23T11:47:50.000Z | Supervised/Classification/NaiveBayes/classif_naive_bayes.py | neohope/MLStudy | bba16587e4f3efe11c926030f6bbcff6db0dde14 | [
"BSD-3-Clause"
] | null | null | null | Supervised/Classification/NaiveBayes/classif_naive_bayes.py | neohope/MLStudy | bba16587e4f3efe11c926030f6bbcff6db0dde14 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/python
# -*- coding: UTF-8 -*-
"""
p(xy)=p(x|y)p(y)=p(y|x)p(x)
p(x|y)=p(y|x)p(x)/p(y)
"""
import numpy as np
def train_naive_bayes(train_mat, train_category):
"""
:param train_mat:
:param train_category:
:return:
"""
train_doc_num = len(train_mat)
words_num = len(t... | 23.816901 | 99 | 0.596688 | #!/usr/bin/python
# -*- coding: UTF-8 -*-
"""
工具类
利用决策树进行分类处理
贝叶斯公式
p(xy)=p(x|y)p(y)=p(y|x)p(x)
p(x|y)=p(y|x)p(x)/p(y)
"""
import numpy as np
def train_naive_bayes(train_mat, train_category):
"""
朴素贝叶斯分类
:param train_mat: 训练文本
:param train_category: 对应的文本类别
:return:
"""
train_doc_num =... | 576 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b331821272bde1b55f5b1ec94fe54e79784193d4 | 131 | py | Python | INF1511/Chapter2/Loops/continueex1.py | GalliWare/UNISA-studies | 32bab94930b176c4dfe943439781ef102896fab5 | [
"Unlicense"
] | null | null | null | INF1511/Chapter2/Loops/continueex1.py | GalliWare/UNISA-studies | 32bab94930b176c4dfe943439781ef102896fab5 | [
"Unlicense"
] | null | null | null | INF1511/Chapter2/Loops/continueex1.py | GalliWare/UNISA-studies | 32bab94930b176c4dfe943439781ef102896fab5 | [
"Unlicense"
] | null | null | null | # example of using continue in a loop
k = 1
while k <= 10:
if k == 7:
k += 1
continue
print(k)
k = k+1
| 14.555556 | 37 | 0.473282 | # example of using continue in a loop
k = 1
while k <= 10:
if k == 7:
k += 1
continue
print(k)
k = k+1
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6deded657b8240a9551f12f7dcf718426f908be0 | 4,120 | py | Python | async_stripe/api_resources/list_object.py | bhch/async-stripe | 75d934a8bb242f664e7be30812c12335cf885287 | [
"MIT",
"BSD-3-Clause"
] | 8 | 2021-05-29T08:57:58.000Z | 2022-02-19T07:09:25.000Z | async_stripe/api_resources/list_object.py | bhch/async-stripe | 75d934a8bb242f664e7be30812c12335cf885287 | [
"MIT",
"BSD-3-Clause"
] | 5 | 2021-05-31T10:18:36.000Z | 2022-01-25T11:39:03.000Z | async_stripe/api_resources/list_object.py | bhch/async-stripe | 75d934a8bb242f664e7be30812c12335cf885287 | [
"MIT",
"BSD-3-Clause"
] | 1 | 2021-05-29T13:27:10.000Z | 2021-05-29T13:27:10.000Z | import stripe
stripe.ListObject.list = list_patch
stripe.ListObject.create = create_patch
stripe.ListObject.retrieve = retrieve_patch
stripe.ListObject._request = _request_patch
stripe.ListObject.auto_paging_iter = auto_paging_iter_patch
stripe.ListObject.previous_page = previous_page_patch
stripe.ListObject.next_pa... | 26.753247 | 79 | 0.672816 | import stripe
from stripe import api_requestor, six, util
from stripe.stripe_object import StripeObject
from stripe.six.moves.urllib.parse import quote_plus
async def list_patch(
self, api_key=None, stripe_version=None, stripe_account=None, **params
):
stripe_object = await self._request(
"get",
... | 0 | 0 | 3,475 | 0 | 0 | 0 | 0 | 77 | 228 |
8cd35bbeb7e6ca7e7a590bf9f39dd054c38fb277 | 3,199 | py | Python | student_code/mohamedMahmoud/4_vidio_games.py | pranjal-teaching/asd-class | 446fbf9fcc5b5491e4498ef99d7b81c108580268 | [
"MIT"
] | 2 | 2022-01-17T13:13:23.000Z | 2022-03-02T18:25:24.000Z | student_code/mohamedMahmoud/4_vidio_games.py | pranjal-teaching/CP1895-ASD-2022Winter | 446fbf9fcc5b5491e4498ef99d7b81c108580268 | [
"MIT"
] | null | null | null | student_code/mohamedMahmoud/4_vidio_games.py | pranjal-teaching/CP1895-ASD-2022Winter | 446fbf9fcc5b5491e4498ef99d7b81c108580268 | [
"MIT"
] | 3 | 2022-01-12T17:58:44.000Z | 2022-01-16T15:17:58.000Z |
if __name__ == "__main__":
main()
| 27.110169 | 78 | 0.562051 | import pickle
def save(book_catalog):
with open("book_file.bin", "wb") as file:
pickle.dump(book_catalog, file)
def load():
with open("book_file.bin", "rb") as file:
print(pickle.load(file))
def clear(book_catalog):
book_catalog.clear()
def show_book(book_catalog):
title = input(... | 0 | 0 | 0 | 0 | 0 | 2,929 | 0 | -8 | 229 |
337d20738799098b13ddb1fa72868e0d9905847b | 3,063 | py | Python | scripts/hp_tuning/lgb_tuning.py | riccardopoiani/recsys_2019 | 47a44d2f7d85e76e31dacf4ba2e69721d010b6b8 | [
"MIT"
] | 2 | 2020-10-01T11:08:32.000Z | 2020-11-25T11:05:37.000Z | scripts/hp_tuning/lgb_tuning.py | riccardopoiani/recsys_2019 | 47a44d2f7d85e76e31dacf4ba2e69721d010b6b8 | [
"MIT"
] | null | null | null | scripts/hp_tuning/lgb_tuning.py | riccardopoiani/recsys_2019 | 47a44d2f7d85e76e31dacf4ba2e69721d010b6b8 | [
"MIT"
] | 1 | 2020-10-01T11:08:33.000Z | 2020-10-01T11:08:33.000Z | from datetime import datetime
import numpy as np
import pandas as pd
from course_lib.Base.Evaluation.Evaluator import EvaluatorHoldout
from src.data_management.New_DataSplitter_leave_k_out import New_DataSplitter_leave_k_out
from src.data_management.RecSys2019Reader import RecSys2019Reader
from src.data_management.da... | 47.859375 | 114 | 0.70617 | from datetime import datetime
import numpy as np
import pandas as pd
from course_lib.Base.Evaluation.Evaluator import EvaluatorHoldout
from src.data_management.New_DataSplitter_leave_k_out import New_DataSplitter_leave_k_out
from src.data_management.RecSys2019Reader import RecSys2019Reader
from src.data_management.da... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3f563d6b84f13639c6a476c75a1cf79492a28ab2 | 4,530 | py | Python | repo/script.module.liveresolver/lib/liveresolver/modules/constants.py | Hades01/Addons | 710da97ac850197498a3cd64be1811c593610add | [
"Apache-2.0"
] | 3 | 2020-03-03T13:21:44.000Z | 2021-07-21T09:53:31.000Z | repo/script.module.liveresolver/lib/liveresolver/modules/constants.py | Hades01/Addons | 710da97ac850197498a3cd64be1811c593610add | [
"Apache-2.0"
] | null | null | null | repo/script.module.liveresolver/lib/liveresolver/modules/constants.py | Hades01/Addons | 710da97ac850197498a3cd64be1811c593610add | [
"Apache-2.0"
] | 2 | 2020-04-01T22:11:12.000Z | 2020-05-07T23:54:52.000Z |
resolver_dict={ 'sawlive.tv': 'sawlive',
'streamking.co': 'streamking',
'streamking.cc': 'streamking',
'castalba.tv' : 'castalba',
'p2pcast.tv' : 'p2pcast',
'p2pcast.tech' : 'p2pcast',
'finecast.tv' : 'finecast',
'filmon.com' : 'filmo... | 37.131148 | 91 | 0.463797 |
def flash_ver():
return 'WIN\\2021,0,0,242'
def get_shockwave():
return 'ShockwaveFlash/21.0.0.242'
def blacklist():
black = ['advert', 'banner', 'bet', 'c4.zedo', 'chat', 'chatango', '.css', 'histats']
resolver_dict={ 'sawlive.tv': 'sawlive',
'streamking.co': 'streamking',
... | 0 | 0 | 0 | 0 | 0 | 155 | 0 | 0 | 75 |
8622f027030f34b58bac4104d7574f310268b6c0 | 32,799 | py | Python | framework/oktopus/solver/oktopus/oktopus_utils.py | charlee593/oktopus_framework | 2835c44c61d1b6170682f014450b8c2203786347 | [
"MIT"
] | 1 | 2022-02-21T12:03:17.000Z | 2022-02-21T12:03:17.000Z | framework/oktopus/solver/oktopus/oktopus_utils.py | charlee593/oktopus_framework | 2835c44c61d1b6170682f014450b8c2203786347 | [
"MIT"
] | 4 | 2020-07-02T00:56:32.000Z | 2020-07-02T00:56:45.000Z | framework/oktopus/solver/oktopus/oktopus_utils.py | charlee593/oktopus_framework | 2835c44c61d1b6170682f014450b8c2203786347 | [
"MIT"
] | 1 | 2022-02-21T12:03:03.000Z | 2022-02-21T12:03:03.000Z | """
oktopus algorithm related utils
"""
############################
# Graph contraction
############################
############################
# End - Graph contraction
############################
| 36.082508 | 221 | 0.583158 | """
oktopus algorithm related utils
"""
import random, statistics
from multiprocessing import Pool
from collections import defaultdict, deque
from sys import maxint
import networkx as nx
from cytoolz import merge, partial
from nx_disjoint_paths import edge_disjoint_paths
from ...multicast.session import Session
de... | 0 | 0 | 0 | 3,112 | 0 | 28,609 | 0 | 97 | 753 |
6ad4b0307023ca0f07b1c891343ae1a90f5a5ad5 | 6,436 | py | Python | llvm/utils/lit/tests/shtest-format.py | medismailben/llvm-project | e334a839032fe500c3bba22bf976ab7af13ce1c1 | [
"Apache-2.0"
] | 158 | 2016-07-21T10:45:05.000Z | 2022-03-25T00:56:20.000Z | llvm/utils/lit/tests/shtest-format.py | medismailben/llvm-project | e334a839032fe500c3bba22bf976ab7af13ce1c1 | [
"Apache-2.0"
] | 59 | 2019-02-26T18:57:27.000Z | 2020-08-04T20:49:55.000Z | llvm/utils/lit/tests/shtest-format.py | medismailben/llvm-project | e334a839032fe500c3bba22bf976ab7af13ce1c1 | [
"Apache-2.0"
] | 62 | 2016-08-29T17:28:11.000Z | 2021-12-29T17:55:58.000Z | # Check the various features of the ShTest format.
#
# RUN: rm -f %t.xml
# RUN: not %{lit} -j 1 -v %{inputs}/shtest-format --xunit-xml-output %t.xml > %t.out
# RUN: FileCheck < %t.out %s
# RUN: FileCheck --check-prefix=XUNIT < %t.xml %s
# END.
# CHECK: -- Testing:
# CHECK: PASS: shtest-format :: argv0.txt
# CHECK: F... | 39.243902 | 120 | 0.669204 | # Check the various features of the ShTest format.
#
# RUN: rm -f %t.xml
# RUN: not %{lit} -j 1 -v %{inputs}/shtest-format --xunit-xml-output %t.xml > %t.out
# RUN: FileCheck < %t.out %s
# RUN: FileCheck --check-prefix=XUNIT < %t.xml %s
# END.
# CHECK: -- Testing:
# CHECK: PASS: shtest-format :: argv0.txt
# CHECK: F... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
f9487af1aa537fd2d0666a16755714386c4969fb | 6,524 | py | Python | generators/generate.py | adan82/ck2map | 6ec3cb3b4edc8eded07cf05add452da5b1979ed7 | [
"MIT"
] | 11 | 2016-01-09T04:30:58.000Z | 2019-05-21T21:59:49.000Z | generators/generate.py | adan82/ck2map | 6ec3cb3b4edc8eded07cf05add452da5b1979ed7 | [
"MIT"
] | 1 | 2016-04-20T20:54:16.000Z | 2016-04-23T11:24:33.000Z | generators/generate.py | adan82/ck2map | 6ec3cb3b4edc8eded07cf05add452da5b1979ed7 | [
"MIT"
] | 4 | 2016-08-27T14:08:58.000Z | 2019-12-10T09:13:54.000Z | # -*- coding: utf-8 -*-
"""
Program for generating a GeoJSON-file from provinces.bmp.
This is the main file responsible for running the show.
Author: Erkki Mattila, 2014-2015
"""
from PIL import Image
import time, csv
from marcher import Marcher
def read_definition(definition):
"""Function for reading valid ro... | 33.979167 | 186 | 0.549663 | # -*- coding: utf-8 -*-
"""
Program for generating a GeoJSON-file from provinces.bmp.
This is the main file responsible for running the show.
Author: Erkki Mattila, 2014-2015
"""
from PIL import Image
import time, csv
from marcher import Marcher
def read_definition(definition):
"""Function for reading valid ro... | 18 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
f82666bf3ca7532e091d7760de7ca0a9cc54a890 | 171 | py | Python | Python/Kattis/Naive/apaxiaaans.py | kchevali/OnlineJudge | c1d1894078fa45eef05c8785aba29758d9adf0c6 | [
"MIT"
] | null | null | null | Python/Kattis/Naive/apaxiaaans.py | kchevali/OnlineJudge | c1d1894078fa45eef05c8785aba29758d9adf0c6 | [
"MIT"
] | null | null | null | Python/Kattis/Naive/apaxiaaans.py | kchevali/OnlineJudge | c1d1894078fa45eef05c8785aba29758d9adf0c6 | [
"MIT"
] | null | null | null | s = input()
size = 0
while size != len(s):
size = len(s)
for i in range(26):
letter = chr(ord("a") + i)
s = s.replace(letter * 2, letter)
print(s)
| 19 | 41 | 0.508772 | s = input()
size = 0
while size != len(s):
size = len(s)
for i in range(26):
letter = chr(ord("a") + i)
s = s.replace(letter * 2, letter)
print(s)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
966e8b218a834a8d1db1b95c1f7ac443390bd82c | 376 | py | Python | setup.py | FurtiveFox/fchat_mod | 290d19da97305938cf63b472e5e859f071fceb4d | [
"MIT"
] | null | null | null | setup.py | FurtiveFox/fchat_mod | 290d19da97305938cf63b472e5e859f071fceb4d | [
"MIT"
] | null | null | null | setup.py | FurtiveFox/fchat_mod | 290d19da97305938cf63b472e5e859f071fceb4d | [
"MIT"
] | null | null | null | from setuptools import setup, find_packages
setup(
name='fchat',
version='0.0',
packages=find_packages(exclude=['test']),
license='MIT',
description='A python based f-chat client',
long_description=open('README.txt').read(),
install_requires=['requests'],
url='https://github.com',
a... | 25.066667 | 47 | 0.667553 | from setuptools import setup, find_packages
setup(
name='fchat',
version='0.0',
packages=find_packages(exclude=['test']),
license='MIT',
description='A python based f-chat client',
long_description=open('README.txt').read(),
install_requires=['requests'],
url='https://github.com',
a... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
2d630f1f765b05278111f5ed5e7145307baea9ac | 2,230 | py | Python | synth/common/top.py | pervasivesolutions/synth | 7b00f14dffc2630acd2743d0d5cf9f7c1627b067 | [
"MIT"
] | 2 | 2021-03-15T18:02:46.000Z | 2021-12-09T20:54:25.000Z | synth/common/top.py | pervasivesolutions/synth | 7b00f14dffc2630acd2743d0d5cf9f7c1627b067 | [
"MIT"
] | 2 | 2017-04-18T08:41:49.000Z | 2017-10-04T15:13:06.000Z | synth/common/top.py | pervasivesolutions/synth | 7b00f14dffc2630acd2743d0d5cf9f7c1627b067 | [
"MIT"
] | 3 | 2018-02-06T17:07:06.000Z | 2020-01-27T17:05:11.000Z | # "TOP" means the last-known value of each property of each device.
# One use for this is so that we can set the type of each property explicitly after bulk-uploading to DevicePilot
# NOTE: Any property can occasionally have a value of None (null), from which the type can't be inferred. So we need to explicitly exclude... | 46.458333 | 163 | 0.613901 | # "TOP" means the last-known value of each property of each device.
# One use for this is so that we can set the type of each property explicitly after bulk-uploading to DevicePilot
# NOTE: Any property can occasionally have a value of None (null), from which the type can't be inferred. So we need to explicitly exclude... | 0 | 0 | 0 | 1,860 | 0 | 0 | 0 | 0 | 23 |
dd57a5e4ebb6589096ee507af5c6f02d8724a13d | 1,098 | py | Python | images2video.py | bingai/PackNet-SfM | d5ae24a96bf2ca5dbe70b0ea30d627001f4cd83a | [
"MIT"
] | 1 | 2020-10-08T02:51:39.000Z | 2020-10-08T02:51:39.000Z | images2video.py | bingai/PackNet-SfM | d5ae24a96bf2ca5dbe70b0ea30d627001f4cd83a | [
"MIT"
] | null | null | null | images2video.py | bingai/PackNet-SfM | d5ae24a96bf2ca5dbe70b0ea30d627001f4cd83a | [
"MIT"
] | null | null | null | # https://theailearner.com/2018/10/15/creating-video-from-images-using-opencv-python/
# Steps:
# Fetch all the image file names using glob
# Read all the images using cv2.imread()
# Store all the images into a list
# Create a VideoWriter object using cv2.VideoWriter()
# Save the images to video file using cv2.Vide... | 28.153846 | 99 | 0.718579 | # https://theailearner.com/2018/10/15/creating-video-from-images-using-opencv-python/
# Steps:
# Fetch all the image file names using glob
# Read all the images using cv2.imread()
# Store all the images into a list
# Create a VideoWriter object using cv2.VideoWriter()
# Save the images to video file using cv2.Vide... | 0 | 0 | 0 | 0 | 0 | 94 | 0 | -3 | 44 |
f8ecf62b233ecee90703bbf8f3c35df6d06ebb6a | 989 | py | Python | py_reportit/shared/config/db.py | fedus/py_reportit | 46422cabb652571d8cce6c8e91a229009dcca141 | [
"MIT"
] | 1 | 2021-12-05T19:16:16.000Z | 2021-12-05T19:16:16.000Z | py_reportit/shared/config/db.py | fedus/py_reportit | 46422cabb652571d8cce6c8e91a229009dcca141 | [
"MIT"
] | null | null | null | py_reportit/shared/config/db.py | fedus/py_reportit | 46422cabb652571d8cce6c8e91a229009dcca141 | [
"MIT"
] | null | null | null | import logging
logger = logging.getLogger(f"py_reportit.{__name__}")
| 36.62963 | 107 | 0.742164 | import logging
from typing import Iterable
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker as sqlalchemy_sessionmaker
from sqlalchemy.orm.session import Session
logger = logging.getLogger(f"py_reportit.{__name__}")
class Database:
def __init__(self, log_db, **kwargs):
self.d... | 0 | 180 | 0 | 286 | 231 | 0 | 0 | 87 | 135 |
9ed7a06b755cbb58e1a3edee00faa390aff26545 | 11,564 | py | Python | rlpyt/ul/algos/downstreams/vae.py | Slienteagle-wyb/rlpyt | fee14b1c28481f6751a7a1a6ce9b8cbac1e001f0 | [
"MIT"
] | null | null | null | rlpyt/ul/algos/downstreams/vae.py | Slienteagle-wyb/rlpyt | fee14b1c28481f6751a7a1a6ce9b8cbac1e001f0 | [
"MIT"
] | null | null | null | rlpyt/ul/algos/downstreams/vae.py | Slienteagle-wyb/rlpyt | fee14b1c28481f6751a7a1a6ce9b8cbac1e001f0 | [
"MIT"
] | null | null | null | from collections import namedtuple
IGNORE_INDEX = -100 # Mask action samples across episode boundary.
OptInfo = namedtuple("OptInfo", ["reconLoss", "klLoss", "gradNorm"])
ValInfo = namedtuple("ValInfo", ["reconLoss", "klLoss"])
| 43.637736 | 114 | 0.656174 | import torch
import torch.nn.functional as F
from collections import namedtuple
from rlpyt.ul.algos.ul_for_rl.base import BaseUlAlgorithm
from rlpyt.ul.models.ul.vae_models import VaeHeadModel, VaeDecoderModel
from rlpyt.utils.quick_args import save__init__args
from rlpyt.utils.logging import logger
from rlpyt.ul.repla... | 0 | 0 | 0 | 10,696 | 0 | 0 | 0 | 350 | 287 |
8a87b0cd7e766f6f264432745a4a7a02f1025c18 | 674 | py | Python | chconsole/launch/launch_config.py | mincode/chconsole | ab8ca8a38bd47ecb1aa7ff90225f57e042aaad6e | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | chconsole/launch/launch_config.py | mincode/chconsole | ab8ca8a38bd47ecb1aa7ff90225f57e042aaad6e | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | chconsole/launch/launch_config.py | mincode/chconsole | ab8ca8a38bd47ecb1aa7ff90225f57e042aaad6e | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null |
__author__ = 'Manfred Minimair <manfred@minimair.org>'
| 32.095238 | 81 | 0.695846 | from traitlets.config.configurable import LoggingConfigurable
from traitlets import Unicode
__author__ = 'Manfred Minimair <manfred@minimair.org>'
class LaunchConfig(LoggingConfigurable):
gate_tunnel_user = Unicode('chconnect', config=True,
help='ssh user name on gate for tunnel... | 0 | 0 | 0 | 500 | 0 | 0 | 0 | 48 | 67 |
b748f3b0df7be72f8e6684bce7c6f0a96a780838 | 1,895 | py | Python | tests/test_rt_gui.py | amoodie/rain-table_jeffskwang | a378a24f2c239e5b8076a864e7f924c3c6397185 | [
"MIT"
] | null | null | null | tests/test_rt_gui.py | amoodie/rain-table_jeffskwang | a378a24f2c239e5b8076a864e7f924c3c6397185 | [
"MIT"
] | null | null | null | tests/test_rt_gui.py | amoodie/rain-table_jeffskwang | a378a24f2c239e5b8076a864e7f924c3c6397185 | [
"MIT"
] | null | null | null | print("importing: pytest and platform")
print("importing: sys and os")
import sys, os
sys.path.append(os.path.realpath(os.path.dirname(__file__)+"/.."))
print("importing: numpy")
print("importing: matplotlib")
| 22.034884 | 78 | 0.741953 | print("importing: pytest and platform")
import pytest
import platform
print("importing: sys and os")
import sys, os
sys.path.append(os.path.realpath(os.path.dirname(__file__)+"/.."))
print("importing: numpy")
import numpy as np
print("importing: matplotlib")
import matplotlib
@pytest.mark.mpl_image_compare(baseli... | 0 | 1,470 | 0 | 0 | 0 | 0 | 0 | -21 | 226 |
40cf4751ff1aafadae4d61a862e1a55e2c03c0c3 | 1,265 | py | Python | graphi_project/graphi_project/urls.py | davidxc/graphi | e5cb5b165c0314aa3a9302d333797dab9871026c | [
"MIT"
] | null | null | null | graphi_project/graphi_project/urls.py | davidxc/graphi | e5cb5b165c0314aa3a9302d333797dab9871026c | [
"MIT"
] | null | null | null | graphi_project/graphi_project/urls.py | davidxc/graphi | e5cb5b165c0314aa3a9302d333797dab9871026c | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Author: David Wong <davidwong.xc@gmail.com>
License: 3 clause BSD license
"""
from django.conf.urls import patterns, include, url
from django.contrib.staticfiles.urls import staticfiles_urlpatterns
# Uncomment the next two lines to enable the admin:
from django.contrib import admin
admin.... | 35.138889 | 77 | 0.682213 | # -*- coding: utf-8 -*-
"""
Author: David Wong <davidwong.xc@gmail.com>
License: 3 clause BSD license
"""
from django.conf.urls import patterns, include, url
from django.contrib.staticfiles.urls import staticfiles_urlpatterns
# Uncomment the next two lines to enable the admin:
from django.contrib import admin
admin.... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
8130b2714fb2200c4919ad760d8fe3b3c75a95b2 | 566 | py | Python | ch03/RELU_function.py | Lyli724/Book_Introduce_Deep-Learning | b24ecc76548794c7e4afaf01142a7e68764744d1 | [
"Apache-2.0"
] | 1 | 2020-07-20T05:34:15.000Z | 2020-07-20T05:34:15.000Z | ch03/RELU_function.py | Lyli724/Book_Introduce_Deep-Learning | b24ecc76548794c7e4afaf01142a7e68764744d1 | [
"Apache-2.0"
] | null | null | null | ch03/RELU_function.py | Lyli724/Book_Introduce_Deep-Learning | b24ecc76548794c7e4afaf01142a7e68764744d1 | [
"Apache-2.0"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
# RELUinput>0: output: x, input < 0, output = 0
x = np.arange(-5.0, 5.0, 0.1)
y1 = sigmoid_function(x)
y2 = step_function(x)
y3 = relu(x)
plt.plot(x, y1, label = "sigmoid")
plt.plot(x, y2, label = "step", linestyle = "--")
plt.plot(x, y3, label = "relu", linestyle = ... | 23.583333 | 56 | 0.64311 | import numpy as np
import matplotlib.pyplot as plt
# RELU函数当input>0: output: x, input < 0, output = 0
def relu(x):
return np.maximum(0, x) # maximum从输入的数值中选择较大的那个值进行输出
def step_function(x):
return np.array(x > 0, dtype = np.int)
def sigmoid_function(x):
return 1 / (1 + np.exp(-x))
x = np.arange(-5.0, 5.... | 66 | 0 | 0 | 0 | 0 | 107 | 0 | 0 | 68 |
5b70fa08960cfbdcc6e7c1d4789b5302bcef0a4a | 2,515 | py | Python | dias/train.py | MrXiaoXiao/DIAS | 8c628beb8817824a7ba4e1d4b3c3611573457a18 | [
"MIT"
] | 2 | 2021-07-01T12:28:07.000Z | 2021-08-10T10:53:14.000Z | dias/train.py | MrXiaoXiao/DIAS | 8c628beb8817824a7ba4e1d4b3c3611573457a18 | [
"MIT"
] | null | null | null | dias/train.py | MrXiaoXiao/DIAS | 8c628beb8817824a7ba4e1d4b3c3611573457a18 | [
"MIT"
] | null | null | null | import numpy as np
from dias.model.FPN_Model import Dias_FPN
from dias.model.Unet_Model import Dias_Unet
from dias.dataIO.data import IonoDataManager
import matplotlib.pyplot as plt
import os
def train(cfgs):
"""
Function for training DIAS.
"""
print('Setting Model...')
if cfgs['Model']['Type'] == ... | 31.4375 | 79 | 0.604771 | import tensorflow as tf
import numpy as np
from dias.model.FPN_Model import Dias_FPN
from dias.model.Unet_Model import Dias_Unet
from dias.dataIO.data import IonoDataManager
import segmentation_models as sm
import matplotlib.pyplot as plt
import os
def train(cfgs):
"""
Function for training DIAS.
"""
p... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 44 |
3ba51943f287ab96a1b85ade2737d45bb8f347f0 | 4,009 | py | Python | pymarkdownlint/rules.py | cheukyin699/pymarkdownlint | d3317c0e8baa1cac56c7ffc6d11e6ba7a03e4c07 | [
"MIT"
] | 2 | 2019-04-12T06:29:44.000Z | 2021-01-14T05:38:25.000Z | pymarkdownlint/rules.py | TobiasSchaffner/pymarkdownlint | 19d766877998fb75494bc5847f4c7ae287e86684 | [
"MIT"
] | 2 | 2018-10-15T05:02:48.000Z | 2020-09-12T07:25:09.000Z | pymarkdownlint/rules.py | cheukyin699/pymarkdownlint | d3317c0e8baa1cac56c7ffc6d11e6ba7a03e4c07 | [
"MIT"
] | 4 | 2018-11-26T03:19:23.000Z | 2021-03-12T06:42:32.000Z |
import re
RE_HEADERS = re.compile('^h[1-6]$')
| 29.91791 | 112 | 0.634323 | from abc import abstractmethod, ABCMeta
from pymarkdownlint.options import IntOption
from bs4 import BeautifulSoup
import markdown
import re
RE_HEADERS = re.compile('^h[1-6]$')
class Rule(object, metaclass=ABCMeta):
""" Class representing markdown rules. """
options_spec = []
id = []
name = ""
e... | 0 | 263 | 0 | 3,351 | 0 | 0 | 0 | 43 | 295 |
cc849ca59c78f1ab5df6d8f0953cda66194774b9 | 5,930 | py | Python | df_17/simulate.py | tivvit/crypto_trading_bot_devfest_2017 | 7e642bb455f70f79582f98cca4996765bcaea148 | [
"MIT"
] | null | null | null | df_17/simulate.py | tivvit/crypto_trading_bot_devfest_2017 | 7e642bb455f70f79582f98cca4996765bcaea148 | [
"MIT"
] | null | null | null | df_17/simulate.py | tivvit/crypto_trading_bot_devfest_2017 | 7e642bb455f70f79582f98cca4996765bcaea148 | [
"MIT"
] | null | null | null | """GDAX Trading simulator
Usage:
train_lr.py [-zepd <file> -s --stop <stop> -a <after> -b <before> -c <cnt>]
[--err-avg]
train_lr.py (-h | --help)
Options:
-d=FILE Data path [default: /data/gdax/BTC-EUR_27_6_2017_200_days_min.json]
-h --help Show this screen.
-v --version Version
-z --zmq ... | 28.926829 | 83 | 0.590556 | """GDAX Trading simulator
Usage:
train_lr.py [-zepd <file> -s --stop <stop> -a <after> -b <before> -c <cnt>]
[--err-avg]
train_lr.py (-h | --help)
Options:
-d=FILE Data path [default: /data/gdax/BTC-EUR_27_6_2017_200_days_min.json]
-h --help Show this screen.
-v --version Version
-z --zmq ... | 0 | 0 | 0 | 0 | 0 | 4,618 | 0 | 253 | 245 |
a61ea08d9eb33e3f28c8ed7dafeaa9382eba7647 | 118 | py | Python | basic/yield.py | Dmendoza3/Phyton | e6c563609724b2dadcd767d2bfc291090ac2f58e | [
"MIT"
] | null | null | null | basic/yield.py | Dmendoza3/Phyton | e6c563609724b2dadcd767d2bfc291090ac2f58e | [
"MIT"
] | null | null | null | basic/yield.py | Dmendoza3/Phyton | e6c563609724b2dadcd767d2bfc291090ac2f58e | [
"MIT"
] | null | null | null |
for x in arrayYield():
print(x) | 16.857143 | 29 | 0.525424 | def arrayYield():
arr = [9,8,7,6,5,4,3,2,1]
for x in arr:
yield x
for x in arrayYield():
print(x) | 0 | 0 | 0 | 0 | 60 | 0 | 0 | 0 | 22 |
00a990c066e283412c864be0c5e3bb6f8b4d146d | 4,740 | py | Python | rpxdock/tests/search/test_onecomp.py | quecloud/rpxdock | 41f7f98f5dacf24fc95897910263a0bec2209e59 | [
"Apache-2.0"
] | null | null | null | rpxdock/tests/search/test_onecomp.py | quecloud/rpxdock | 41f7f98f5dacf24fc95897910263a0bec2209e59 | [
"Apache-2.0"
] | null | null | null | rpxdock/tests/search/test_onecomp.py | quecloud/rpxdock | 41f7f98f5dacf24fc95897910263a0bec2209e59 | [
"Apache-2.0"
] | 1 | 2020-04-13T20:07:52.000Z | 2020-04-13T20:07:52.000Z |
if __name__ == '__main__':
main() | 37.92 | 95 | 0.698101 | import rpxdock as rp, concurrent
def test_cage_hier_onecomp_notrim(hscore, bodyC3):
arg = rp.app.defaults()
arg.wts = rp.Bunch(ncontact=0.01, rpx=1.0)
arg.beam_size = 2e4
arg.max_bb_redundancy = 2.0
arg.max_delta_h = 9999
arg.nout_debug = 0
arg.nout_top = 0
arg.nout_each = 0
arg.score_only_s... | 0 | 0 | 0 | 0 | 0 | 4,555 | 0 | 11 | 137 |
7631dec3502bc3893edde5223606e6691456b30f | 1,599 | py | Python | carrara/archivi/migrations/0021_auto_20210806_1922.py | cxc61cxc/django_prove | 9df58be73ef51e13287bfbd1b8623f3f39b8a224 | [
"MIT"
] | null | null | null | carrara/archivi/migrations/0021_auto_20210806_1922.py | cxc61cxc/django_prove | 9df58be73ef51e13287bfbd1b8623f3f39b8a224 | [
"MIT"
] | null | null | null | carrara/archivi/migrations/0021_auto_20210806_1922.py | cxc61cxc/django_prove | 9df58be73ef51e13287bfbd1b8623f3f39b8a224 | [
"MIT"
] | null | null | null | # Generated by Django 3.2.5 on 2021-08-06 17:22
| 32.632653 | 106 | 0.575985 | # Generated by Django 3.2.5 on 2021-08-06 17:22
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('archivi', '0020_alter_allegato_pratica'),
]
operations = [
migrations.AlterField(
model_name='allegato',
name='doc',... | 0 | 0 | 0 | 1,485 | 0 | 0 | 0 | 19 | 46 |
5af47c313e63f34e1877fc59a5f9405aaf7f3ce4 | 16,724 | py | Python | src/handlers.py | Shermii/n-editor | 5f5c5e2b1abe403f1ddc35de314303a1e34e99f9 | [
"MIT"
] | 1 | 2020-09-01T22:22:09.000Z | 2020-09-01T22:22:09.000Z | src/handlers.py | Shermii/n-editor | 5f5c5e2b1abe403f1ddc35de314303a1e34e99f9 | [
"MIT"
] | 1 | 2021-12-31T00:25:29.000Z | 2021-12-31T00:25:29.000Z | src/handlers.py | Shermii/Nix | 5f5c5e2b1abe403f1ddc35de314303a1e34e99f9 | [
"MIT"
] | null | null | null |
import platform
platform = platform.system()
# thanks to everyone on https://www.asciiart.eu/
| 33.51503 | 265 | 0.713167 | import os
import time
import random
import tkinter
import threading
import subprocess
import glob
from ascii_art import *
from widgets import *
import platform
platform = platform.system()
# thanks to everyone on https://www.asciiart.eu/
class FILE_HANDLER(object):
""" File opening and closing yes"""
def __init__... | 0 | 0 | 0 | 16,384 | 0 | 0 | 0 | -54 | 291 |
201ed5c78e308f8bf7563fcc8896d5909beb68d4 | 6,977 | py | Python | Projects/Project1/regan/crossvalidation.py | adelezaini/MachineLearning | dc3f34f5d509bed6a993705373c46be4da3f97db | [
"MIT"
] | null | null | null | Projects/Project1/regan/crossvalidation.py | adelezaini/MachineLearning | dc3f34f5d509bed6a993705373c46be4da3f97db | [
"MIT"
] | 1 | 2021-10-03T15:16:07.000Z | 2021-10-03T15:16:07.000Z | Projects/Project1/regan/crossvalidation.py | adelezaini/MachineLearning | dc3f34f5d509bed6a993705373c46be4da3f97db | [
"MIT"
] | null | null | null | # The MIT License (MIT)
#
# Copyright 2021 Fridtjof Gjengset, Adele Zaini, Gaute Holen
#
# Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated
# documentation files (the Software), to deal in the Software without restriction, including without limitation the
# r... | 38.761111 | 117 | 0.669055 | # The MIT License (MIT)
#
# Copyright © 2021 Fridtjof Gjengset, Adele Zaini, Gaute Holen
#
# Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated
# documentation files (the “Software”), to deal in the Software without restriction, including without limitation the
... | 14 | 0 | 0 | 0 | 0 | 0 | 0 | 31 | 23 |
014959e4d9f7c9d908e94b6b8868537079c42d42 | 1,975 | py | Python | twitch_project/facebook_users/tasks.py | tejesh95/livecoding | 327114d67d613ef7300528d62b5165cd215bc1b4 | [
"MIT"
] | null | null | null | twitch_project/facebook_users/tasks.py | tejesh95/livecoding | 327114d67d613ef7300528d62b5165cd215bc1b4 | [
"MIT"
] | null | null | null | twitch_project/facebook_users/tasks.py | tejesh95/livecoding | 327114d67d613ef7300528d62b5165cd215bc1b4 | [
"MIT"
] | null | null | null | from celery.utils.log import get_task_logger
logger = get_task_logger(__name__)
| 34.051724 | 87 | 0.590886 | import urllib2
import json
from celery.decorators import task
from celery.utils.log import get_task_logger
from .models import GroupMember
logger = get_task_logger(__name__)
@task(name='fetch_members_from_group')
def fetch_members_from_group(members, group_id):
def save_members_to_db(members):
for member... | 0 | 1,752 | 0 | 0 | 0 | 0 | 0 | 6 | 134 |
2e00301aaa1a19cf8cb9eebb6282f9d668fc8bf4 | 2,229 | py | Python | infrastructure/cleanup_db/cleanup_db.py | mesmacosta/cloudsql-postgresql-tooling | 33c6ca7779d1a1dc4d07c5218c215dd780f6b595 | [
"MIT"
] | 6 | 2020-04-29T21:17:28.000Z | 2020-12-08T01:52:27.000Z | infrastructure/cleanup_db/cleanup_db.py | mesmacosta/cloudsql-postgresql-tooling | 33c6ca7779d1a1dc4d07c5218c215dd780f6b595 | [
"MIT"
] | null | null | null | infrastructure/cleanup_db/cleanup_db.py | mesmacosta/cloudsql-postgresql-tooling | 33c6ca7779d1a1dc4d07c5218c215dd780f6b595 | [
"MIT"
] | 2 | 2020-07-29T09:31:32.000Z | 2021-02-10T19:01:05.000Z | import logging
import sys
QUERY = """
SELECT DISTINCT t.table_schema as schema_name
FROM information_schema.tables t
WHERE t.table_schema NOT IN
('pg_catalog', 'information_schema',
'pg_toast', 'gp_toolkit', 'pg_internal')
ORDER BY t.table_schema;
"""
if __name__ == "__main__":
... | 29.72 | 71 | 0.633019 | import argparse
import logging
import sys
import uuid
from psycopg2 import connect
QUERY = """
SELECT DISTINCT t.table_schema as schema_name
FROM information_schema.tables t
WHERE t.table_schema NOT IN
('pg_catalog', 'information_schema',
'pg_toast', 'gp_toolkit', 'pg_internal')
ORDER... | 0 | 0 | 0 | 0 | 0 | 1,461 | 0 | -9 | 159 |
21540e20013a34251762618f72b4ba0f7a019eec | 8,032 | py | Python | train_nets.py | mepittma/bmi203-final | ef60d91cafbd3372f13917aa67102ec8f19e7ee8 | [
"Apache-2.0"
] | null | null | null | train_nets.py | mepittma/bmi203-final | ef60d91cafbd3372f13917aa67102ec8f19e7ee8 | [
"Apache-2.0"
] | null | null | null | train_nets.py | mepittma/bmi203-final | ef60d91cafbd3372f13917aa67102ec8f19e7ee8 | [
"Apache-2.0"
] | null | null | null | import numpy as np
"""
# AUTOENCODER
# Instantiate neural network and training classes
NN = nn.Neural_Network(inS=1, outS=1, hS=3, depth = 1, actFunction="sigmoid")
T = nn.trainer(NN, epochs = 400, batch_size = 8, metric = "roc_auc",learningRate="default")
# Ensure that the 8x3x8 encoder problem can be solved by this... | 32.783673 | 112 | 0.642555 | from nets import neural_net as nn
import matplotlib.pyplot as plt
from operator import itemgetter
from sklearn.metrics import roc_curve, auc, roc_auc_score
from sklearn.model_selection import train_test_split
import numpy as np
"""
# AUTOENCODER
# Instantiate neural network and training classes
NN = nn.Neural_Network(... | 0 | 0 | 0 | 0 | 0 | 449 | 0 | 99 | 154 |
3d4261a3742c63486541b6cb72857f1d164e9962 | 2,510 | py | Python | interpreter/interpreter.py | jodorganistaca/Projet_SI | e640ccf37252cb22a92a858ab2d1fd409a63aecf | [
"MIT"
] | null | null | null | interpreter/interpreter.py | jodorganistaca/Projet_SI | e640ccf37252cb22a92a858ab2d1fd409a63aecf | [
"MIT"
] | null | null | null | interpreter/interpreter.py | jodorganistaca/Projet_SI | e640ccf37252cb22a92a858ab2d1fd409a63aecf | [
"MIT"
] | null | null | null |
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('--file', required=True)
args = parser.parse_args()
file1 = open(f'{args.file}', 'r')
lines = file1.readlines()
Data_Memory={}
#While not end of line
i = 0
j= []
#print(len(lines))
while (i<len(lines)) :
arr = lines[i].split(" ")
... | 29.186047 | 105 | 0.5 |
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('--file', required=True)
args = parser.parse_args()
file1 = open(f'{args.file}', 'r')
lines = file1.readlines()
Data_Memory={}
#While not end of line
i = 0
j= []
#print(len(lines))
while (i<len(lines)) :
arr = lines[i].split(" ")
... | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |