hexsha stringlengths 40 40 | size int64 2 1.05M | ext stringclasses 9
values | lang stringclasses 1
value | max_stars_repo_path stringlengths 4 193 | max_stars_repo_name stringlengths 6 109 | max_stars_repo_head_hexsha stringlengths 40 78 | max_stars_repo_licenses listlengths 1 10 | max_stars_count int64 1 36.6k ⌀ | max_stars_repo_stars_event_min_datetime stringlengths 24 24 ⌀ | max_stars_repo_stars_event_max_datetime stringlengths 24 24 ⌀ | max_issues_repo_path stringlengths 4 193 | max_issues_repo_name stringlengths 6 109 | max_issues_repo_head_hexsha stringlengths 40 78 | max_issues_repo_licenses listlengths 1 10 | max_issues_count int64 1 29.8k ⌀ | max_issues_repo_issues_event_min_datetime stringlengths 24 24 ⌀ | max_issues_repo_issues_event_max_datetime stringlengths 24 24 ⌀ | max_forks_repo_path stringlengths 4 193 | max_forks_repo_name stringlengths 6 109 | max_forks_repo_head_hexsha stringlengths 40 78 | max_forks_repo_licenses listlengths 1 10 | max_forks_count int64 1 11.2k ⌀ | max_forks_repo_forks_event_min_datetime stringlengths 24 24 ⌀ | max_forks_repo_forks_event_max_datetime stringlengths 24 24 ⌀ | content stringlengths 2 1.05M | avg_line_length float64 1 404k | max_line_length int64 1 1.03M | alphanum_fraction float64 0 1 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
03622d2bea5b69bb3cd39b0a8ca6acd8476b6fd0 | 1,258 | py | Python | DatabaseRelated/player.py | CalmingAgent/Pew-Pew-Test | fed527ca7b83dafd1960c2daf4a0e616e56354ca | [
"MIT"
] | null | null | null | DatabaseRelated/player.py | CalmingAgent/Pew-Pew-Test | fed527ca7b83dafd1960c2daf4a0e616e56354ca | [
"MIT"
] | null | null | null | DatabaseRelated/player.py | CalmingAgent/Pew-Pew-Test | fed527ca7b83dafd1960c2daf4a0e616e56354ca | [
"MIT"
] | null | null | null | class Player:
def __init__(self, id, rating=1000, win_count=0, lose_count=0, win_streak=0, best_win_streak=0):
self.id = id
self.rating = rating
self.win_count = win_count
self.lose_count = lose_count
self.win_streak = win_streak
self.best_win_streak = best_win_streak... | 27.347826 | 100 | 0.582671 |
03623b03e44c5ef505ed1d031eaf9f8ad2f3b2bf | 3,322 | py | Python | openbb_terminal/stocks/dark_pool_shorts/nyse_view.py | quincyhill/GamestonkTerminal | 7b374b76629a963cef9a22b41bc8acbef70e876a | [
"MIT"
] | null | null | null | openbb_terminal/stocks/dark_pool_shorts/nyse_view.py | quincyhill/GamestonkTerminal | 7b374b76629a963cef9a22b41bc8acbef70e876a | [
"MIT"
] | null | null | null | openbb_terminal/stocks/dark_pool_shorts/nyse_view.py | quincyhill/GamestonkTerminal | 7b374b76629a963cef9a22b41bc8acbef70e876a | [
"MIT"
] | null | null | null | """NYSE Short Data View"""
__docformat__ = "numpy"
import logging
import os
from typing import List, Optional
import matplotlib.pyplot as plt
import seaborn as sns
from plotly import express as px
from openbb_terminal.config_terminal import theme
from openbb_terminal.config_plot import PLOT_DPI
from openbb_terminal... | 26.365079 | 109 | 0.619807 |
03626b26ec97f1f02e2a596fb8aa4b112199ea01 | 908 | py | Python | 429_N-ary-Tree-Level-Order-Traversal.py | Coalin/Daily-LeetCode-Exercise | a064dcdc3a82314be4571d342c4807291a24f69f | [
"MIT"
] | 3 | 2018-07-05T05:51:10.000Z | 2019-05-04T08:35:44.000Z | 429_N-ary-Tree-Level-Order-Traversal.py | Coalin/Daily-LeetCode-Exercise | a064dcdc3a82314be4571d342c4807291a24f69f | [
"MIT"
] | null | null | null | 429_N-ary-Tree-Level-Order-Traversal.py | Coalin/Daily-LeetCode-Exercise | a064dcdc3a82314be4571d342c4807291a24f69f | [
"MIT"
] | null | null | null | """
# Definition for a Node.
class Node:
def __init__(self, val, children):
self.val = val
self.children = children
"""
from collections import deque
class Solution(object):
def levelOrder(self, root):
"""
:type root: Node
:rtype: List[List[int]]
"""
res ... | 23.282051 | 48 | 0.449339 |
0362754aa375385265c683a414ee438ec62e37bb | 2,102 | py | Python | adpkd_segmentation/create_eval_configs.py | Florassss/adpkd-segmentation-pytorch | ce06bcf9a5028836255d5845fd9017d6828d6bf7 | [
"MIT"
] | 5 | 2021-07-09T16:10:56.000Z | 2022-03-23T10:22:16.000Z | adpkd_segmentation/create_eval_configs.py | Florassss/adpkd-segmentation-pytorch | ce06bcf9a5028836255d5845fd9017d6828d6bf7 | [
"MIT"
] | 3 | 2021-06-23T02:47:42.000Z | 2022-02-04T22:43:27.000Z | adpkd_segmentation/create_eval_configs.py | Florassss/adpkd-segmentation-pytorch | ce06bcf9a5028836255d5845fd9017d6828d6bf7 | [
"MIT"
] | 2 | 2021-06-05T22:19:29.000Z | 2022-03-13T20:50:13.000Z | """Creates evaluation configs from the train config"""
import argparse
import os
import yaml
from copy import deepcopy
keys_to_copy = {"_MODEL_CONFIG", "_LOSSES_METRICS_CONFIG"}
def create_config(config, new_conf_type):
assert new_conf_type in {"val", "test"}
config = deepcopy(config)
new_conf = {}
... | 31.848485 | 76 | 0.666032 |
0362980e48541f113c49c333a6b2778f25f412eb | 3,609 | py | Python | vr/common/balancer/varnish.py | yougov/vr.common | 8b0312481185d0c195e33665df1165a8de7ee3e8 | [
"MIT"
] | null | null | null | vr/common/balancer/varnish.py | yougov/vr.common | 8b0312481185d0c195e33665df1165a8de7ee3e8 | [
"MIT"
] | 4 | 2017-04-02T13:28:36.000Z | 2019-03-01T14:32:54.000Z | vr/common/balancer/varnish.py | yougov/vr.common | 8b0312481185d0c195e33665df1165a8de7ee3e8 | [
"MIT"
] | 2 | 2018-05-08T16:14:21.000Z | 2022-03-26T07:43:50.000Z | import errno
import posixpath
import re
from .base import SshBasedBalancer
BACKEND_TPL = '{.backend={.host="%(host)s"; .port="%(port)s";}}'
DIRECTOR_TPL = """
// This pool was written by Velociraptor. You probably shouldn't edit it.
director %(pool)s round-robin {
%(backends)s
}
"""
def _render_backend(node):
... | 34.04717 | 79 | 0.60737 |
0362b523a3ebda0c0a0cbdff2aaf37dafb4a04d8 | 1,952 | py | Python | chapter2/intogen-mutations/develop/workflows/common/scan_projects.py | chris-zen/phd-thesis | 1eefdff8e7ca1910304e27ae42551dc64496b101 | [
"Unlicense"
] | 1 | 2015-12-22T00:53:18.000Z | 2015-12-22T00:53:18.000Z | chapter2/intogen-mutations/develop/workflows/common/scan_projects.py | chris-zen/phd-thesis | 1eefdff8e7ca1910304e27ae42551dc64496b101 | [
"Unlicense"
] | null | null | null | chapter2/intogen-mutations/develop/workflows/common/scan_projects.py | chris-zen/phd-thesis | 1eefdff8e7ca1910304e27ae42551dc64496b101 | [
"Unlicense"
] | null | null | null | import os
import subprocess
from wok.task import task
from intogensm.utils import list_projects
from intogensm.config import GlobalConfig, PathsConfig
@task.source()
def scan_projects(project_out):
log = task.logger
config = GlobalConfig(task.conf)
paths = PathsConfig(config)
projects_path = paths.projects_pa... | 27.492958 | 135 | 0.659836 |
0362cd07279c3cb389094edf752f4a6f3a5445af | 8,891 | py | Python | quenchmark/collectors/meta.py | qosf/quantum-bench | cfd9d0905a448e9a21154789fa8c10319312c77b | [
"MIT"
] | 2 | 2021-05-22T20:30:14.000Z | 2022-01-05T18:52:32.000Z | quenchmark/collectors/meta.py | qosf/quantum-bench | cfd9d0905a448e9a21154789fa8c10319312c77b | [
"MIT"
] | null | null | null | quenchmark/collectors/meta.py | qosf/quantum-bench | cfd9d0905a448e9a21154789fa8c10319312c77b | [
"MIT"
] | 2 | 2021-11-18T19:38:59.000Z | 2022-01-05T18:52:35.000Z | import datetime as dt
from functools import reduce
from difflib import SequenceMatcher as SM
from cached_property import cached_property
import github
from quenchmark.config import OAUTH_TOKEN
from quenchmark.plugins import Collector
class MetaCollector(Collector):
osi_license_ids = ["MPL-2.0", "GPL-2.0", "MIT"... | 36.739669 | 110 | 0.602294 |
0362e621fcff3dd8dac1fab92ee14e8ea94c34f0 | 4,033 | py | Python | tests/python_tests/__init__.py | sfc-gh-bvr/foundationdb | 7594f5c0f92d2582dae717ce0244c11642b27dd4 | [
"Apache-2.0"
] | 1 | 2022-02-23T07:17:32.000Z | 2022-02-23T07:17:32.000Z | tests/python_tests/__init__.py | sfc-gh-bvr/foundationdb | 7594f5c0f92d2582dae717ce0244c11642b27dd4 | [
"Apache-2.0"
] | null | null | null | tests/python_tests/__init__.py | sfc-gh-bvr/foundationdb | 7594f5c0f92d2582dae717ce0244c11642b27dd4 | [
"Apache-2.0"
] | 1 | 2022-03-01T12:28:03.000Z | 2022-03-01T12:28:03.000Z | #
# __init__.py
#
# This source file is part of the FoundationDB open source project
#
# Copyright 2013-2018 Apple Inc. and the FoundationDB project authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of t... | 31.755906 | 104 | 0.612199 |
036338e5388cde4b389e3390a087ae103ecb6894 | 3,431 | py | Python | demos/demo_utils/case_study_graphics.py | scwolof/GPdoemd | 485265a66585a8ebe88d1ba3da957199159dbcbf | [
"MIT"
] | 28 | 2018-07-04T21:46:18.000Z | 2022-01-10T07:48:59.000Z | demos/demo_utils/case_study_graphics.py | scwolof/GPdoemd | 485265a66585a8ebe88d1ba3da957199159dbcbf | [
"MIT"
] | 1 | 2018-10-03T22:40:00.000Z | 2018-10-04T17:49:49.000Z | demos/demo_utils/case_study_graphics.py | scwolof/GPdoemd | 485265a66585a8ebe88d1ba3da957199159dbcbf | [
"MIT"
] | 5 | 2018-09-18T18:43:19.000Z | 2020-11-28T22:07:22.000Z |
import numpy as np
import matplotlib.pyplot as plt
from GPdoemd.marginal import taylor_first_order
class Graphics:
def __init__ (self, X, Y, mvar):
self.X = X
self.Y = Y
assert len(X) == len(Y)
self.N = len( X )
self.mvar = mvar
self.mstd = np... | 34.656566 | 82 | 0.495482 |
03634fdb7546e9482f0844bbd904526ebf35cb44 | 8,865 | py | Python | trainer.py | Kaushal28/FOTS-PyTorch | 30f6180754899c7f5fb35845ab5d6f108eb1b4a8 | [
"BSD-3-Clause"
] | 7 | 2021-02-25T17:33:19.000Z | 2022-02-25T08:11:12.000Z | trainer.py | Kaushal28/FOTS-PyTorch | 30f6180754899c7f5fb35845ab5d6f108eb1b4a8 | [
"BSD-3-Clause"
] | 3 | 2021-03-09T08:36:42.000Z | 2021-12-08T02:45:07.000Z | trainer.py | Kaushal28/FOTS-PyTorch | 30f6180754899c7f5fb35845ab5d6f108eb1b4a8 | [
"BSD-3-Clause"
] | 1 | 2022-02-10T07:30:20.000Z | 2022-02-10T07:30:20.000Z | import os
from time import time
import torch
import numpy as np
from tqdm import tqdm
from utils import TranscriptEncoder, classes
class Train:
"""
Trainer class which defines model training and evaluation methods.
"""
def __init__(self, model, train_iterator, valid_iterator, loss, metric, optimiz... | 39.575893 | 155 | 0.568754 |
0363510489e8257b0737e9306560dbe6f3f0e028 | 8,456 | py | Python | examples/Adafruit_Nokia_LCD/PCD8544.py | SincereXIA/Adafruit_Nokia_LCD | 329e01bcb25bf9970afee10aad7f365381571819 | [
"MIT"
] | 92 | 2015-01-23T09:38:40.000Z | 2021-11-08T11:19:45.000Z | examples/Adafruit_Nokia_LCD/PCD8544.py | SincereXIA/Adafruit_Nokia_LCD | 329e01bcb25bf9970afee10aad7f365381571819 | [
"MIT"
] | 9 | 2015-01-31T14:38:23.000Z | 2019-10-29T00:37:15.000Z | examples/Adafruit_Nokia_LCD/PCD8544.py | SincereXIA/Adafruit_Nokia_LCD | 329e01bcb25bf9970afee10aad7f365381571819 | [
"MIT"
] | 60 | 2015-03-11T06:58:17.000Z | 2022-01-13T04:47:33.000Z | # Copyright (c) 2014 Adafruit Industries
# Author: Tony DiCola
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, m... | 56 | 3,048 | 0.649953 |
036359d2051eb43c49d20af39013ddebceeb6360 | 10,163 | py | Python | src/Environments/rendezvous/gridworld_env.py | smithsophia1688/rm-cooperative-marl | e9c782fa50957095dc025e16ff714e2fd19ee39e | [
"MIT"
] | 4 | 2021-07-05T12:26:24.000Z | 2022-03-22T23:31:30.000Z | src/Environments/rendezvous/gridworld_env.py | smithsophia1688/rm-cooperative-marl | e9c782fa50957095dc025e16ff714e2fd19ee39e | [
"MIT"
] | null | null | null | src/Environments/rendezvous/gridworld_env.py | smithsophia1688/rm-cooperative-marl | e9c782fa50957095dc025e16ff714e2fd19ee39e | [
"MIT"
] | 3 | 2021-05-31T08:59:35.000Z | 2022-02-28T05:20:55.000Z | import random, math, os
import numpy as np
from enum import Enum
import sys
sys.path.append('../')
sys.path.append('../../')
from reward_machines.sparse_reward_machine import SparseRewardMachine
"""
Enum with the actions that the agent can execute
"""
class Actions(Enum):
up = 0 # move up
right = 1 # move ... | 30.428144 | 149 | 0.537046 |
036365687822f88be8ae433b2e3a94c63684b38e | 2,723 | py | Python | place_emu/util/measure_gen.py | nipunpruthi/placement-emulation | aff2ef1334e3b25e1f32202dfe34dfbed74c6d4a | [
"Apache-2.0"
] | 8 | 2018-05-15T14:03:31.000Z | 2021-11-12T17:33:53.000Z | place_emu/util/measure_gen.py | nipunpruthi/placement-emulation | aff2ef1334e3b25e1f32202dfe34dfbed74c6d4a | [
"Apache-2.0"
] | 2 | 2018-10-24T07:52:44.000Z | 2021-12-15T11:50:58.000Z | place_emu/util/measure_gen.py | nipunpruthi/placement-emulation | aff2ef1334e3b25e1f32202dfe34dfbed74c6d4a | [
"Apache-2.0"
] | 5 | 2018-05-30T03:54:53.000Z | 2022-02-11T15:15:54.000Z | # script for creating suitable measurement shell-scripts
import yaml
import json
import argparse
# read interface IPs from string and return as dict
def get_interfaces(if_string):
interfaces = {}
# remove brackets and split at commas
if_string = if_string.replace('(','').replace(')','')
split_strings ... | 36.797297 | 133 | 0.621741 |
03636b4ea16a8931f0e2f9e7f911a68f2a51d82c | 1,767 | py | Python | examples/python-guide/simple_example.py | harunpehlivan/LightGBM | 8ba65be9c93b79c095ea06e74de2cc5bf35ab169 | [
"MIT"
] | 59 | 2017-03-09T15:33:52.000Z | 2021-09-16T05:47:10.000Z | examples/python-guide/simple_example.py | harunpehlivan/LightGBM | 8ba65be9c93b79c095ea06e74de2cc5bf35ab169 | [
"MIT"
] | 1 | 2017-03-09T07:43:02.000Z | 2017-04-09T19:34:06.000Z | examples/python-guide/simple_example.py | harunpehlivan/LightGBM | 8ba65be9c93b79c095ea06e74de2cc5bf35ab169 | [
"MIT"
] | 17 | 2017-03-27T06:37:47.000Z | 2020-05-28T09:17:38.000Z | # coding: utf-8
# pylint: disable = invalid-name, C0111
import json
import lightgbm as lgb
import pandas as pd
from sklearn.metrics import mean_squared_error
# load or create your dataset
print('Load data...')
df_train = pd.read_csv('../regression/regression.train', header=None, sep='\t')
df_test = pd.read_csv('../re... | 25.985294 | 79 | 0.681947 |
03638080e771d5538e0a3d13c9f9727eea03bfcb | 3,246 | py | Python | plorts/style.py | brucespang/plorts | 78194a64128a0bba9cdf49279bcc09807df62fcf | [
"MIT"
] | 1 | 2016-08-02T21:57:46.000Z | 2016-08-02T21:57:46.000Z | plorts/style.py | brucespang/plorts | 78194a64128a0bba9cdf49279bcc09807df62fcf | [
"MIT"
] | null | null | null | plorts/style.py | brucespang/plorts | 78194a64128a0bba9cdf49279bcc09807df62fcf | [
"MIT"
] | null | null | null | # Most of this is lifted from Seaborn (https://stanford.edu/~mwaskom/software/seaborn/)
#
# Copyright (c) 2012-2013, Michael L. Waskom
# All rights reserved.
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# * Redistrib... | 47.735294 | 97 | 0.750462 |
0363966b9407f4d429e5d755e0307ae4611e83d4 | 941 | py | Python | src/fortrace/__init__.py | dasec/ForTrace | b8187522a2c83fb661e5a1a5f403da8f40a31ead | [
"MIT"
] | 1 | 2022-03-31T14:01:51.000Z | 2022-03-31T14:01:51.000Z | src/fortrace/__init__.py | dasec/ForTrace | b8187522a2c83fb661e5a1a5f403da8f40a31ead | [
"MIT"
] | null | null | null | src/fortrace/__init__.py | dasec/ForTrace | b8187522a2c83fb661e5a1a5f403da8f40a31ead | [
"MIT"
] | 1 | 2022-03-31T14:02:30.000Z | 2022-03-31T14:02:30.000Z | """This package is used to create and control virtual machines (named guest in the further documentation)
with the purpose to generate benign network traffic.
The architecture of fortrace is as follows:
We need a host system with a hypervisor installed. In our case we used Ubuntu 14.04 and
Kernel Based Virtual Machin... | 39.208333 | 119 | 0.790648 |
0363a95064f916a50a2fb9b9a5e3730f6510c39c | 2,552 | py | Python | aioyoyo/protocol.py | henry232323/oyoyo-asyncio | b7d63e7fbb30820f86b077bd76aed165038c61a9 | [
"MIT"
] | 1 | 2017-06-10T02:13:39.000Z | 2017-06-10T02:13:39.000Z | aioyoyo/protocol.py | henry232323/aioyoyo | b7d63e7fbb30820f86b077bd76aed165038c61a9 | [
"MIT"
] | null | null | null | aioyoyo/protocol.py | henry232323/aioyoyo | b7d63e7fbb30820f86b077bd76aed165038c61a9 | [
"MIT"
] | null | null | null | #!/usr/bin/python3
# Copyright (c) 2016-2017, henry232323
#
# Permission is hereby granted, free of charge, to any person obtaining a
# copy of this software and associated documentation files (the "Software"),
# to deal in the Software without restriction, including without limitation
# the rights to use, copy, modify... | 44.77193 | 77 | 0.710815 |
0363bb590941aff9a36ba22b62d996dceea38efd | 19,681 | py | Python | appengine/findit/pipelines/flake_failure/test/next_commit_position_pipeline_test.py | allaparthi/monorail | e18645fc1b952a5a6ff5f06e0c740d75f1904473 | [
"BSD-3-Clause"
] | 2 | 2021-04-13T21:22:18.000Z | 2021-09-07T02:11:57.000Z | appengine/findit/pipelines/flake_failure/test/next_commit_position_pipeline_test.py | allaparthi/monorail | e18645fc1b952a5a6ff5f06e0c740d75f1904473 | [
"BSD-3-Clause"
] | 21 | 2020-09-06T02:41:05.000Z | 2022-03-02T04:40:01.000Z | appengine/findit/pipelines/flake_failure/test/next_commit_position_pipeline_test.py | allaparthi/monorail | e18645fc1b952a5a6ff5f06e0c740d75f1904473 | [
"BSD-3-Clause"
] | null | null | null | # Copyright 2018 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
import mock
from dto.commit_id_range import CommitID
from dto.int_range import IntRange
from dto.step_metadata import StepMetadata
from gae_libs import pipe... | 41.697034 | 80 | 0.758346 |
0363c092e40b89899dc8f160f0a8366fd762e54a | 714 | py | Python | factor_gnn/layers.py | fy0cc/factor-inference-net | 1ade2a91f5adf8f049f818183910797db56a70b4 | [
"MIT"
] | null | null | null | factor_gnn/layers.py | fy0cc/factor-inference-net | 1ade2a91f5adf8f049f818183910797db56a70b4 | [
"MIT"
] | null | null | null | factor_gnn/layers.py | fy0cc/factor-inference-net | 1ade2a91f5adf8f049f818183910797db56a70b4 | [
"MIT"
] | null | null | null | import torch
import torch.nn as nn
from .mlp import MLP
NDIM_HIDDEN = 64
class SigmoidWrapper(nn.Module):
def __init__(self, model):
super(SigmoidWrapper, self).__init__()
self.model = model
self.m = nn.Sigmoid()
def forward(self, *args, **kwargs):
return self.m(self.model(*... | 26.444444 | 90 | 0.654062 |
0363e273ba63530b396bb57367685b743b692863 | 468 | py | Python | sim/data_providers/__init__.py | microsoft/nanotune | 68be8f5b74a52d57b74ccac228e120d9ab48e3e4 | [
"MIT"
] | 5 | 2021-02-24T14:32:37.000Z | 2022-01-05T16:37:26.000Z | sim/data_providers/__init__.py | microsoft/nanotune | 68be8f5b74a52d57b74ccac228e120d9ab48e3e4 | [
"MIT"
] | 149 | 2021-03-23T14:44:39.000Z | 2022-03-31T06:09:07.000Z | sim/data_providers/__init__.py | LaudateCorpus1/nanotune | 0ada354597b16f6dbb17ca7be01ab7668b6d5049 | [
"MIT"
] | 10 | 2021-03-29T13:36:38.000Z | 2022-02-16T23:06:35.000Z | """ Set up data_providers namespace """
from .static_data_provider import StaticDataProvider
from .passthrough_data_provider import PassthroughDataProvider
from .qcodes_data_provider import QcodesDataProvider
from .synthetic_pinchoff_data_provider import SyntheticPinchoffDataProvider
from .delayed_data_provider import ... | 52 | 75 | 0.899573 |
0363ed51666976b392e58b1b8d5f9cae42aae4ba | 3,088 | py | Python | src/morphforgeexamples/exset3_multicell_simulations/multicell_simulation020.py | mikehulluk/morphforge | 2a95096f144ed4ea487decb735ce66706357d3c7 | [
"BSD-2-Clause"
] | 1 | 2021-01-21T11:31:59.000Z | 2021-01-21T11:31:59.000Z | src/morphforgeexamples/exset3_multicell_simulations/multicell_simulation020.py | mikehulluk/morphforge | 2a95096f144ed4ea487decb735ce66706357d3c7 | [
"BSD-2-Clause"
] | null | null | null | src/morphforgeexamples/exset3_multicell_simulations/multicell_simulation020.py | mikehulluk/morphforge | 2a95096f144ed4ea487decb735ce66706357d3c7 | [
"BSD-2-Clause"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
# ---------------------------------------------------------------------
# Copyright (c) 2012 Michael Hull.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are m... | 35.090909 | 97 | 0.686528 |
036403b9595d307ea4e9b612d9383b45c52b8602 | 17,257 | py | Python | src/python/pants/util/dirutil.py | ghthor/pants | 450de702414f87f563081ddefaefd8a554de07a3 | [
"Apache-2.0"
] | null | null | null | src/python/pants/util/dirutil.py | ghthor/pants | 450de702414f87f563081ddefaefd8a554de07a3 | [
"Apache-2.0"
] | null | null | null | src/python/pants/util/dirutil.py | ghthor/pants | 450de702414f87f563081ddefaefd8a554de07a3 | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# Copyright 2014 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
from __future__ import absolute_import, division, print_function, unicode_literals
import atexit
import errno
import os
import shutil
import stat
import tempfile
import thr... | 33.250482 | 120 | 0.701976 |
03643bf814c3acf8ac3896f17910523f207e0e59 | 1,509 | py | Python | Assignment4/test_helperfunctions.py | Iamlegend-Imani/LamData3 | 69c593c2a69a6894a3e3d8770737d3f9bd14e468 | [
"MIT"
] | null | null | null | Assignment4/test_helperfunctions.py | Iamlegend-Imani/LamData3 | 69c593c2a69a6894a3e3d8770737d3f9bd14e468 | [
"MIT"
] | null | null | null | Assignment4/test_helperfunctions.py | Iamlegend-Imani/LamData3 | 69c593c2a69a6894a3e3d8770737d3f9bd14e468 | [
"MIT"
] | null | null | null | """ File where testing references are stores """
import pandas as pd
import numpy as np
import pytest
from Assignment2.helper_functions import CleanData, WarpData, WarpAddress
# Reference Dataframe for CleanData, WarpData testing
df = pd.DataFrame(
np.array(
[
[1, 2, 3, 4, 5],
[4, ... | 23.952381 | 73 | 0.654738 |
03643edace33fa3e4502d9cfc48e8003044ac1ca | 22,437 | py | Python | nova/image/glance.py | osrg/nova | 14b6bc655145c832bd9c822e48f877818e0e53ff | [
"Apache-2.0"
] | null | null | null | nova/image/glance.py | osrg/nova | 14b6bc655145c832bd9c822e48f877818e0e53ff | [
"Apache-2.0"
] | null | null | null | nova/image/glance.py | osrg/nova | 14b6bc655145c832bd9c822e48f877818e0e53ff | [
"Apache-2.0"
] | null | null | null | # vim: tabstop=4 shiftwidth=4 softtabstop=4
# Copyright 2010 OpenStack Foundation
# 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.apach... | 36.721768 | 79 | 0.621117 |
0364415c3b219d1b25fbb5d4cd1ef70e26b9f5ce | 1,410 | py | Python | plugins/poto.py | ItzSjDude/PikaBotPlugins | 6b468a43caefbea5b8f3cd2c1ca83790380e1f5b | [
"Apache-2.0"
] | 1 | 2020-10-29T15:44:57.000Z | 2020-10-29T15:44:57.000Z | plugins/poto.py | ItzSjDude/PikaBotPlugins | 6b468a43caefbea5b8f3cd2c1ca83790380e1f5b | [
"Apache-2.0"
] | null | null | null | plugins/poto.py | ItzSjDude/PikaBotPlugins | 6b468a43caefbea5b8f3cd2c1ca83790380e1f5b | [
"Apache-2.0"
] | 4 | 2020-10-28T09:02:35.000Z | 2020-12-27T22:45:57.000Z | import logging
from pikabot.utils import ItzSjDude
logger = logging.getLogger(__name__)
if 1 == 1:
name = "Profile Photos"
@ItzSjDude(outgoing=True, pattern="poto(.*)")
async def potocmd(event):
id = "".join(event.raw_text.split(maxsplit=2)[1:])
user = await event.get_reply_message()
... | 36.153846 | 79 | 0.548227 |
03646f5a9d663c6f43a3afe7b94a8bf409ec8371 | 11,569 | py | Python | nlisim/oldmodules/neutrophil.py | jbeezley/simulation-hello-world | b4e1258de9c7601af1701041fa39f8f6c5e5a61e | [
"Apache-2.0"
] | 4 | 2021-05-21T15:46:15.000Z | 2022-03-01T02:58:32.000Z | nlisim/oldmodules/neutrophil.py | jbeezley/simulation-hello-world | b4e1258de9c7601af1701041fa39f8f6c5e5a61e | [
"Apache-2.0"
] | 10 | 2020-11-10T23:20:37.000Z | 2022-03-12T01:34:47.000Z | nlisim/oldmodules/neutrophil.py | jbeezley/simulation-hello-world | b4e1258de9c7601af1701041fa39f8f6c5e5a61e | [
"Apache-2.0"
] | 2 | 2020-12-16T14:24:26.000Z | 2021-01-08T15:56:20.000Z | from enum import IntEnum
import itertools
from random import choice, shuffle
from typing import Any, Dict, Tuple
import attr
import numpy as np
from nlisim.cell import CellData, CellList
from nlisim.coordinates import Point, Voxel
from nlisim.grid import RectangularGrid
from nlisim.module import ModuleModel, ModuleSt... | 37.319355 | 100 | 0.578529 |
03648ff9868ff001b30ca0ef315cb4b310270bfa | 1,019 | py | Python | setup.py | jattenberg/feet | 091867cdd38165b989fd416bfaa428a380238662 | [
"MIT"
] | 2 | 2020-08-03T05:28:54.000Z | 2021-02-21T13:13:50.000Z | setup.py | jattenberg/feet | 091867cdd38165b989fd416bfaa428a380238662 | [
"MIT"
] | null | null | null | setup.py | jattenberg/feet | 091867cdd38165b989fd416bfaa428a380238662 | [
"MIT"
] | null | null | null | from setuptools import setup
required_libraries = [
"allennlp",
"beautifulsoup4",
"convoys",
"cycler",
"faker",
"flair",
"gensim==3.4.0",
"geopandas",
"google_compute_engine",
"html2text",
"jupyter",
"kiwisolver",
"matplotlib",
"numpy",
"google_compute_engine... | 19.596154 | 78 | 0.58685 |
03649f36ff0b468d9fef56d761c12ebceadbdb18 | 20,530 | py | Python | tests/python/pants_test/backend/jvm/tasks/test_classpath_products.py | dturner-tw/pants | 3a04f2e46bf2b8fb0a7999c09e4ffdf9057ed33f | [
"Apache-2.0"
] | null | null | null | tests/python/pants_test/backend/jvm/tasks/test_classpath_products.py | dturner-tw/pants | 3a04f2e46bf2b8fb0a7999c09e4ffdf9057ed33f | [
"Apache-2.0"
] | null | null | null | tests/python/pants_test/backend/jvm/tasks/test_classpath_products.py | dturner-tw/pants | 3a04f2e46bf2b8fb0a7999c09e4ffdf9057ed33f | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# Copyright 2015 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
from __future__ import (absolute_import, division, generators, nested_scopes, print_function,
unicode_literals, with_statement)
import os
from pant... | 48.419811 | 123 | 0.696006 |
0364a299776cdc4644da80b41c0a6d83cd52ef7d | 5,763 | py | Python | experiments/vitchyr/probabilistic_goal_reaching/ant_full_state/exp_6_learned_and_fixed_laplacian_model.py | Asap7772/railrl_evalsawyer | baba8ce634d32a48c7dfe4dc03b123e18e96e0a3 | [
"MIT"
] | 1 | 2020-10-23T14:40:09.000Z | 2020-10-23T14:40:09.000Z | experiments/vitchyr/probabilistic_goal_reaching/ant_full_state/exp_6_learned_and_fixed_laplacian_model.py | Asap7772/railrl_evalsawyer | baba8ce634d32a48c7dfe4dc03b123e18e96e0a3 | [
"MIT"
] | null | null | null | experiments/vitchyr/probabilistic_goal_reaching/ant_full_state/exp_6_learned_and_fixed_laplacian_model.py | Asap7772/railrl_evalsawyer | baba8ce634d32a48c7dfe4dc03b123e18e96e0a3 | [
"MIT"
] | 1 | 2021-05-27T20:38:45.000Z | 2021-05-27T20:38:45.000Z | import rlkit.misc.hyperparameter as hyp
from rlkit.launchers.experiments.vitchyr.probabilistic_goal_reaching.launcher import \
probabilistic_goal_reaching_experiment
from rlkit.launchers.launcher_util import run_experiment
if __name__ == "__main__":
variant = dict(
# env_id='FetchPush-v1',
obse... | 31.320652 | 86 | 0.5308 |
0364b94f68cce215bdd7c2e4006f6dec0fb01068 | 3,110 | py | Python | venv/Lib/site-packages/pyrogram/raw/functions/contacts/block_from_replies.py | D1ne2021/jjhhhjj | a090da30983b3ef276dfe4cef2ded4526f36002a | [
"MIT"
] | 2 | 2021-12-13T07:09:55.000Z | 2022-01-12T12:15:20.000Z | venv/Lib/site-packages/pyrogram/raw/functions/contacts/block_from_replies.py | hoangkiet1906/Botcie_ver1 | c133b915edde06dac690a7dc6ca160f6792fc4c8 | [
"MIT"
] | null | null | null | venv/Lib/site-packages/pyrogram/raw/functions/contacts/block_from_replies.py | hoangkiet1906/Botcie_ver1 | c133b915edde06dac690a7dc6ca160f6792fc4c8 | [
"MIT"
] | null | null | null | # Pyrogram - Telegram MTProto API Client Library for Python
# Copyright (C) 2017-2021 Dan <https://github.com/delivrance>
#
# This file is part of Pyrogram.
#
# Pyrogram is free software: you can redistribute it and/or modify
# it under the terms of the GNU Lesser General Public License as published
# by the Free... | 36.588235 | 170 | 0.62926 |
036502b33d2e52a105881bc55201b7ce0f27b338 | 2,114 | py | Python | metapool/amplipool.py | ElDeveloper/metagenomics_pooling_notebook | f72377599084a24775dc6cca7d8fbddb66f82316 | [
"MIT"
] | null | null | null | metapool/amplipool.py | ElDeveloper/metagenomics_pooling_notebook | f72377599084a24775dc6cca7d8fbddb66f82316 | [
"MIT"
] | null | null | null | metapool/amplipool.py | ElDeveloper/metagenomics_pooling_notebook | f72377599084a24775dc6cca7d8fbddb66f82316 | [
"MIT"
] | null | null | null | import os
import pandas as pd
from metapool.plate import _decompress_well, _plate_position
def assign_emp_index(plate_df, metadata):
"""Assign an EMP index to wells based on their compressed position
Parameters
----------
plate_df: pd.DataFrame
Object with a Well column, and other metadata v... | 34.655738 | 79 | 0.657048 |
036522901eb4ac7f4bc8cdfeeb5382925ee6ebbd | 193 | py | Python | terrascript/external/r.py | mjuenema/python-terrascript | 6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d | [
"BSD-2-Clause"
] | 507 | 2017-07-26T02:58:38.000Z | 2022-01-21T12:35:13.000Z | terrascript/external/r.py | mjuenema/python-terrascript | 6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d | [
"BSD-2-Clause"
] | 135 | 2017-07-20T12:01:59.000Z | 2021-10-04T22:25:40.000Z | terrascript/external/r.py | mjuenema/python-terrascript | 6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d | [
"BSD-2-Clause"
] | 81 | 2018-02-20T17:55:28.000Z | 2022-01-31T07:08:40.000Z | # terrascript/external/r.py
# Automatically generated by tools/makecode.py ()
import warnings
warnings.warn(
"using the 'legacy layout' is deprecated", DeprecationWarning, stacklevel=2
)
| 21.444444 | 79 | 0.766839 |
03653fc527f6001d29ceef8ea1a98e542c2a29c3 | 10,198 | py | Python | docs/practice-problem/Thomas/MaxTempPrediction.py | chews0n/glowing-waffle | b381421f64bc6a5202421d3870548c7737f93bce | [
"Apache-2.0"
] | null | null | null | docs/practice-problem/Thomas/MaxTempPrediction.py | chews0n/glowing-waffle | b381421f64bc6a5202421d3870548c7737f93bce | [
"Apache-2.0"
] | 5 | 2021-07-20T19:11:39.000Z | 2021-07-21T03:10:27.000Z | docs/practice-problem/Thomas/MaxTempPrediction.py | chews0n/glowing-waffle | b381421f64bc6a5202421d3870548c7737f93bce | [
"Apache-2.0"
] | 2 | 2021-02-25T15:43:59.000Z | 2022-03-20T13:57:34.000Z | import pandas as pd
from catboost import Pool
import shap
import numpy as np
import sys
from plotly.offline import init_notebook_mode
from IPython.core.display import display, HTML
import plotly.express as px
from catboost import CatBoostRegressor
import math
from sklearn.metrics import mean_absolute_error
import plotl... | 25.883249 | 127 | 0.673171 |
036550592b7cfa9d668c1f0e344c64091907be1b | 18,735 | py | Python | postprocess/augments.py | shawnau/DataScienceBowl2018 | 3c6f0f26dd86b71aad55fca52314e6432d0b3a82 | [
"MIT"
] | null | null | null | postprocess/augments.py | shawnau/DataScienceBowl2018 | 3c6f0f26dd86b71aad55fca52314e6432d0b3a82 | [
"MIT"
] | null | null | null | postprocess/augments.py | shawnau/DataScienceBowl2018 | 3c6f0f26dd86b71aad55fca52314e6432d0b3a82 | [
"MIT"
] | null | null | null | from common import *
from utility.draw import *
from dataset.reader import *
from dataset.transform import *
from net.layer.mask import *
##--------------------------------------------------------------
AUG_FACTOR = 16
def draw_proposal(image,proposal):
image = image.copy()
for p in proposal:
x0,y0,x... | 33.218085 | 113 | 0.546037 |
03656af6ff3e38ad6251c6363e3394f1fb78eab4 | 4,379 | py | Python | torchlib/deep_rl/algorithm/model_based/policy.py | vermouth1992/mbrl_hvac | 2402b1bfa36dff74df669bd1bd1956eb8c346923 | [
"MIT"
] | 2 | 2020-12-22T10:02:59.000Z | 2020-12-22T19:57:55.000Z | torchlib/deep_rl/algorithm/model_based/policy.py | Sayani21/mbrl-hvac | eb0e2213cc2734b1a8f83e485180cc622ffced5d | [
"MIT"
] | 1 | 2022-03-12T00:52:44.000Z | 2022-03-12T00:52:44.000Z | torchlib/deep_rl/algorithm/model_based/policy.py | Sayani21/mbrl-hvac | eb0e2213cc2734b1a8f83e485180cc622ffced5d | [
"MIT"
] | 1 | 2021-07-19T15:40:26.000Z | 2021-07-19T15:40:26.000Z | """
Policy Network for training imitation learning model. For discrete case, we use classifier.
For continuous case, we use regressor.
"""
import numpy as np
import torch
import torch.nn as nn
from torchlib.common import move_tensor_to_gpu, convert_numpy_to_tensor, enable_cuda
from torchlib.deep_rl import BaseAgent
fr... | 32.679104 | 117 | 0.61087 |
0365767186638dd7795295dedce80571c43155f2 | 620 | py | Python | tests/test_config.py | OnyxAI/onyx | 52f4bd5c5dd102acc51a83a20f281d7146893c2a | [
"MIT"
] | 2 | 2020-04-14T21:16:07.000Z | 2020-07-09T07:30:44.000Z | tests/test_config.py | OnyxAI/onyx | 52f4bd5c5dd102acc51a83a20f281d7146893c2a | [
"MIT"
] | 2 | 2020-04-01T12:33:36.000Z | 2020-04-01T12:33:49.000Z | tests/test_config.py | OnyxAI/onyx | 52f4bd5c5dd102acc51a83a20f281d7146893c2a | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""Test configs."""
from onyx.app import create_app
from onyx.app_config import DevConfig, ProdConfig
def test_production_config():
"""Production config."""
app = create_app(config=ProdConfig)
assert app.config['ENV'] == 'prod'
assert app.config['DEBUG'] is False
assert app.... | 29.52381 | 50 | 0.685484 |
0365772a377321dae35fc18c850d599e14095628 | 823 | py | Python | largest_digit.py | xilix5688/StanCode | 12041459f04c0fe20917dcec3cfff4ed4ae682f3 | [
"MIT"
] | null | null | null | largest_digit.py | xilix5688/StanCode | 12041459f04c0fe20917dcec3cfff4ed4ae682f3 | [
"MIT"
] | null | null | null | largest_digit.py | xilix5688/StanCode | 12041459f04c0fe20917dcec3cfff4ed4ae682f3 | [
"MIT"
] | null | null | null | """
This file recursively prints the biggest digit in
5 different integers, 12345, 281, 6, -111, -9453
If your implementation is correct, you should see
5, 8, 6, 1, 9 on Console.
"""
def main():
print(find_largest_digit(12345)) # 5
print(find_largest_digit(281)) # 8
print(find_largest_digit(6)) ... | 21.102564 | 58 | 0.680437 |
03658689e63484f3bfa319bd1d18c8ec5f61ef93 | 6,250 | py | Python | demo/covid_video_classification.py | VectorInstitute/vector_cv_tools | 37d5b4c41a83f15554994bf7d19d8d274282ee61 | [
"MIT"
] | 6 | 2021-06-10T03:10:34.000Z | 2021-07-14T19:27:01.000Z | demo/covid_video_classification.py | VectorInstitute/vector_cv_tools | 37d5b4c41a83f15554994bf7d19d8d274282ee61 | [
"MIT"
] | null | null | null | demo/covid_video_classification.py | VectorInstitute/vector_cv_tools | 37d5b4c41a83f15554994bf7d19d8d274282ee61 | [
"MIT"
] | 1 | 2021-11-28T20:03:50.000Z | 2021-11-28T20:03:50.000Z | import streamlit as st
import tempfile
import os
from os.path import join
import random
import torch
import numpy as np
import cv2
from model import all_models, get_model
from vector_cv_tools.utils import VideoReader
if torch.cuda.is_available():
device = torch.device('cuda')
else:
device = torch.device('cpu... | 29.904306 | 89 | 0.61888 |
03658c4f1ff5fc2e9454478f78c315325cbc767a | 19,729 | py | Python | fairseq/data/summarization_dataset.py | MANGA-UOFA/NAUS | 8c0c0815a280d0661adf588302848c7f1ecc56da | [
"MIT"
] | null | null | null | fairseq/data/summarization_dataset.py | MANGA-UOFA/NAUS | 8c0c0815a280d0661adf588302848c7f1ecc56da | [
"MIT"
] | null | null | null | fairseq/data/summarization_dataset.py | MANGA-UOFA/NAUS | 8c0c0815a280d0661adf588302848c7f1ecc56da | [
"MIT"
] | null | null | null | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import logging
import numpy as np
import torch
from fairseq.data import FairseqDataset, data_utils
logger = logging.getLogger(__name__)
d... | 39.937247 | 90 | 0.597445 |
0365917e3b08d8bcb978f439198a4fa2338683c9 | 3,058 | py | Python | examples/logistic_regression_mine.py | kewlcoder/autograd | ce3d9a4ad067a14cbf6ae27ccbd75936ff253752 | [
"MIT"
] | null | null | null | examples/logistic_regression_mine.py | kewlcoder/autograd | ce3d9a4ad067a14cbf6ae27ccbd75936ff253752 | [
"MIT"
] | null | null | null | examples/logistic_regression_mine.py | kewlcoder/autograd | ce3d9a4ad067a14cbf6ae27ccbd75936ff253752 | [
"MIT"
] | null | null | null | import autograd.numpy as np
from autograd import grad
from autograd.test_util import check_grads
def sigmoid(x):
# This approximation of sigmoid performs better than sigmoid
# return 0.5*(np.tanh(x) + 1)
# The below is same formula as above when both expanded
# return 1/( 1 + np.e**(-2*x))
... | 29.980392 | 117 | 0.64879 |
03659a7b357e03ee2e74fd36e96005b7dbaa7a58 | 7,323 | py | Python | sdk/sql/azure-mgmt-sql/azure/mgmt/sql/operations/_elastic_pool_database_activities_operations.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | 1 | 2022-03-09T08:59:13.000Z | 2022-03-09T08:59:13.000Z | sdk/sql/azure-mgmt-sql/azure/mgmt/sql/operations/_elastic_pool_database_activities_operations.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | null | null | null | sdk/sql/azure-mgmt-sql/azure/mgmt/sql/operations/_elastic_pool_database_activities_operations.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | null | null | null | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may ... | 43.850299 | 233 | 0.677591 |
0365b93e8dc51561f11e900a383b1bae79c67990 | 2,490 | py | Python | tests/unit_tests/tasks/time_series_forecaster_test.py | micheleFraccaroli/autokeras | 4c0e36dc0a5418355952dd74f74b2b6e7e87ebf1 | [
"Apache-2.0"
] | 3,979 | 2019-04-02T02:01:52.000Z | 2022-03-31T16:53:14.000Z | tests/unit_tests/tasks/time_series_forecaster_test.py | micheleFraccaroli/autokeras | 4c0e36dc0a5418355952dd74f74b2b6e7e87ebf1 | [
"Apache-2.0"
] | 939 | 2019-04-02T18:13:53.000Z | 2022-03-31T16:25:08.000Z | tests/unit_tests/tasks/time_series_forecaster_test.py | micheleFraccaroli/autokeras | 4c0e36dc0a5418355952dd74f74b2b6e7e87ebf1 | [
"Apache-2.0"
] | 826 | 2019-04-02T00:53:31.000Z | 2022-03-31T10:11:02.000Z | # Copyright 2020 The AutoKeras Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to i... | 32.337662 | 80 | 0.739759 |
0365d81e0a81d072666346ab22509b7bbdd03304 | 934 | py | Python | py_script/server/send_test/train_signal.py | felixfilipi/e-Eyes-Attendance-System | aab63baf1d234662cfadf54773a7b76449030d4a | [
"MIT"
] | 2 | 2021-10-17T09:12:56.000Z | 2021-10-17T13:23:17.000Z | py_script/server/send_test/train_signal.py | felixfilipi/e-Eyes-Attendance-System | aab63baf1d234662cfadf54773a7b76449030d4a | [
"MIT"
] | 6 | 2021-08-16T10:19:58.000Z | 2021-08-23T16:17:32.000Z | py_script/server/send_test/train_signal.py | felixfilipi/eEyes-Hackathon | e1cd4809af136265bd1fbdaf387f76ca4ce9d7b0 | [
"MIT"
] | 1 | 2021-08-11T10:24:14.000Z | 2021-08-11T10:24:14.000Z | import sys
import time
import random
import json
import base64
import mysql.connector
import paho.mqtt.client as mqtt
broker = "mqtt.antares.id"
port = 1883
rqi = "try"
client = mqtt.Client(rqi)
access_key = "c9ab16824dc3b3d4:c76af9ff466e3c4d"
to = "/antares-cse/antares-id/e-eyes/send_file"
topic = "/oneM2M/req/c9ab1... | 19.061224 | 72 | 0.61242 |
0365f41a6e213a150edf58931afb4e4b684451c4 | 3,307 | py | Python | venv/Lib/site-packages/pyrogram/raw/types/messages/messages_not_modified.py | D1ne2021/jjhhhjj | a090da30983b3ef276dfe4cef2ded4526f36002a | [
"MIT"
] | 2 | 2021-12-13T07:09:55.000Z | 2022-01-12T12:15:20.000Z | venv/Lib/site-packages/pyrogram/raw/types/messages/messages_not_modified.py | hoangkiet1906/Botcie_ver1 | c133b915edde06dac690a7dc6ca160f6792fc4c8 | [
"MIT"
] | null | null | null | venv/Lib/site-packages/pyrogram/raw/types/messages/messages_not_modified.py | hoangkiet1906/Botcie_ver1 | c133b915edde06dac690a7dc6ca160f6792fc4c8 | [
"MIT"
] | null | null | null | # Pyrogram - Telegram MTProto API Client Library for Python
# Copyright (C) 2017-2021 Dan <https://github.com/delivrance>
#
# This file is part of Pyrogram.
#
# Pyrogram is free software: you can redistribute it and/or modify
# it under the terms of the GNU Lesser General Public License as published
# by the Free... | 38.011494 | 107 | 0.64681 |
0365fd084b55e1d6b7bed7d550e6d55db980f1a0 | 213 | py | Python | onefeed/retriever/hackernews/items.py | dadaers/OneFeed | e16207418977078fee7cd7e9cf40519f7a9d462d | [
"Apache-2.0"
] | 2 | 2020-05-26T13:32:02.000Z | 2020-05-28T05:26:51.000Z | onefeed/retriever/hackernews/items.py | dadaers/OneFeed | e16207418977078fee7cd7e9cf40519f7a9d462d | [
"Apache-2.0"
] | null | null | null | onefeed/retriever/hackernews/items.py | dadaers/OneFeed | e16207418977078fee7cd7e9cf40519f7a9d462d | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
import scrapy
class HomepageItem(scrapy.Item):
title = scrapy.Field()
points = scrapy.Field()
comments = scrapy.Field()
link = scrapy.Field()
source = scrapy.Field()
| 17.75 | 32 | 0.624413 |
0366498a50189fa9c3ee7c6f488cd84c98738bc2 | 2,857 | py | Python | scrappers/get_tickers.py | dli-invest/fin_news_nlp | a7d18348f6cf6ebde3ff0f964d73d4ce5117ea4a | [
"Apache-2.0"
] | 1 | 2022-02-12T18:01:30.000Z | 2022-02-12T18:01:30.000Z | scrappers/get_tickers.py | dli-invest/fin_news_nlp | a7d18348f6cf6ebde3ff0f964d73d4ce5117ea4a | [
"Apache-2.0"
] | 39 | 2021-10-22T04:58:27.000Z | 2022-02-19T05:32:28.000Z | scrappers/get_tickers.py | dli-invest/fin_news_nlp | a7d18348f6cf6ebde3ff0f964d73d4ce5117ea4a | [
"Apache-2.0"
] | 2 | 2021-10-02T19:43:50.000Z | 2021-11-30T10:01:09.000Z | """
Grab stocks from cad tickers
"""
import pandas as pd
class TickerControllerV2:
"""
Grabs cad_tickers dataframes and normalized them
"""
def __init__(self, cfg: dict):
"""
Extract yahoo finance tickers from website
Consider using hardcoded csvs sheets for the tickers to
... | 39.136986 | 141 | 0.59888 |
03665d7773ea87a4c2c7b48289fe5c5e9158786a | 498 | py | Python | acubed/CLI/test.py | AaronBerman/acubed | 22f0471ea56ba8a793fcc22af7881479ade78cc2 | [
"Apache-2.0"
] | null | null | null | acubed/CLI/test.py | AaronBerman/acubed | 22f0471ea56ba8a793fcc22af7881479ade78cc2 | [
"Apache-2.0"
] | null | null | null | acubed/CLI/test.py | AaronBerman/acubed | 22f0471ea56ba8a793fcc22af7881479ade78cc2 | [
"Apache-2.0"
] | null | null | null | import unittest
from objects.member import Member
class MemberTest(unittest.TestCase):
def setUp(self):
self.user = Member()
def test_setMemberUsername(self):
self.user.setUsername("username")
self.assertEqual("username", self.user.username)
def test_getMemberUsername(self... | 22.636364 | 55 | 0.65261 |
03665e22c6306bca2e399c69f75b223b53bab3ff | 6,795 | py | Python | openpnm/phases/Air.py | Eravalord/OpenPNM | 505bc37318a3ba40d8343f89cd347d0073dd9d14 | [
"MIT"
] | 1 | 2021-07-20T13:56:57.000Z | 2021-07-20T13:56:57.000Z | openpnm/phases/Air.py | yushun9897/OpenPNM | 031894a53650c3193d767b0460c8ea2e66799825 | [
"MIT"
] | null | null | null | openpnm/phases/Air.py | yushun9897/OpenPNM | 031894a53650c3193d767b0460c8ea2e66799825 | [
"MIT"
] | null | null | null | from openpnm.phases import GenericPhase
import openpnm.models as mods
class Air(GenericPhase):
r"""
Creates Phase object with preset models and values for air.
Parameters
----------
network : OpenPNM Network object
The network to which this phase object will be attached.
project : Op... | 52.269231 | 79 | 0.369684 |
036670bbc3626a6f559c7a5e006fac66f9e9e4f3 | 1,207 | py | Python | wgctl/util/config.py | apognu/wgctl-py | 93b069041c7ca55ae2af1cb415759c01f13fe235 | [
"MIT"
] | 22 | 2018-08-14T15:19:36.000Z | 2021-12-01T04:26:48.000Z | wgctl/util/config.py | apognu/wgctl-py | 93b069041c7ca55ae2af1cb415759c01f13fe235 | [
"MIT"
] | null | null | null | wgctl/util/config.py | apognu/wgctl-py | 93b069041c7ca55ae2af1cb415759c01f13fe235 | [
"MIT"
] | 2 | 2019-02-18T03:58:59.000Z | 2021-01-20T21:47:09.000Z | import yaml
from os import path
from pathlib import Path
from wgctl.util.cli import fatal
def get_config(instance):
config_path = '/etc/wireguard/{}.yml'.format(instance)
if path.isfile(instance):
config_path = instance
instance = Path(instance).resolve().stem
try:
with open(config_path) as strea... | 27.431818 | 62 | 0.70174 |
0366a0a559dbf2339c0ca8d12b2fe5305778dd41 | 4,513 | py | Python | ai_ml_projects/masters_courses/nlp/classes.py | 5aurabhpathak/src | dda72beba2aaae67542a2f10e89048e86d04cb28 | [
"BSD-3-Clause"
] | 1 | 2021-07-07T06:51:18.000Z | 2021-07-07T06:51:18.000Z | ai_ml_projects/masters_courses/nlp/classes.py | 5aurabhpathak/all-I-ve-done | dda72beba2aaae67542a2f10e89048e86d04cb28 | [
"BSD-3-Clause"
] | null | null | null | ai_ml_projects/masters_courses/nlp/classes.py | 5aurabhpathak/all-I-ve-done | dda72beba2aaae67542a2f10e89048e86d04cb28 | [
"BSD-3-Clause"
] | 1 | 2020-08-11T09:53:22.000Z | 2020-08-11T09:53:22.000Z | #Object oriented aspect of code. Contains classes used by other modules
from nltk.corpus import names
class NounPhrase:
def __init__(self, np):
self.np = np
self.gender = None
self.name = " ".join(np.leaves())
self.person = 'third'
self.number = None
self.__calculat... | 46.525773 | 286 | 0.538223 |
0366a3725b6736d06a853056bd249447196a9337 | 6,649 | py | Python | salt/states/rabbitmq_user.py | Rafflecopter/salt | 08bbfcd4d9b93351d7d5d25b097e892026b6f1cd | [
"Apache-2.0"
] | 2 | 2015-08-04T21:54:38.000Z | 2019-04-25T21:47:08.000Z | salt/states/rabbitmq_user.py | Rafflecopter/salt | 08bbfcd4d9b93351d7d5d25b097e892026b6f1cd | [
"Apache-2.0"
] | null | null | null | salt/states/rabbitmq_user.py | Rafflecopter/salt | 08bbfcd4d9b93351d7d5d25b097e892026b6f1cd | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
'''
Manage RabbitMQ Users
=====================
Example:
.. code-block:: yaml
rabbit_user:
rabbitmq_user.present:
- password: password
- force: True
- tags:
- monitoring
- user
- perms:
-... | 29.95045 | 79 | 0.499624 |
0366c5b7a3e08b653411bbfa33bb07f4266aeed0 | 431 | py | Python | count_stored_games.py | Ipgnosis/tic_tac_toe | e1519b702531965cc647ff37c1c46d72f4b3b24e | [
"BSD-3-Clause"
] | null | null | null | count_stored_games.py | Ipgnosis/tic_tac_toe | e1519b702531965cc647ff37c1c46d72f4b3b24e | [
"BSD-3-Clause"
] | 4 | 2021-03-25T19:52:40.000Z | 2021-12-12T17:57:11.000Z | count_stored_games.py | Ipgnosis/tic_tac_toe | e1519b702531965cc647ff37c1c46d72f4b3b24e | [
"BSD-3-Clause"
] | null | null | null |
import pathlib
from ttt_package.classes import TTTBase
file_dir = pathlib.Path(
"C:\\Users\\Ipgnosis\\Documents\\Github\\tic_tac_toe\\game_files")
file_name = 'new_game_record.txt'
file_path = file_dir / file_name
# instantiate ML_base
game_history = TTTBase(file_path)
print("Count stored games for:", file_... | 19.590909 | 70 | 0.75406 |
0366d6dabcadac8938c4b1e242433c1ab114d231 | 4,028 | py | Python | alipay/aop/api/request/AlipayDataIotdataSearchlibraryBaiQueryRequest.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 213 | 2018-08-27T16:49:32.000Z | 2021-12-29T04:34:12.000Z | alipay/aop/api/request/AlipayDataIotdataSearchlibraryBaiQueryRequest.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 29 | 2018-09-29T06:43:00.000Z | 2021-09-02T03:27:32.000Z | alipay/aop/api/request/AlipayDataIotdataSearchlibraryBaiQueryRequest.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 59 | 2018-08-27T16:59:26.000Z | 2022-03-25T10:08:15.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.FileItem import FileItem
from alipay.aop.api.constant.ParamConstants import *
from alipay.aop.api.domain.AlipayDataIotdataSearchlibraryBaiQueryModel import AlipayDataIotdataSearchlibraryBaiQueryModel
class AlipayDataIotdataSearchlibraryB... | 27.77931 | 148 | 0.649454 |
0366fd77b9d50d1ff53f6f29681f7fc74bb15084 | 4,516 | py | Python | scripts/example_Nernst_Planck_multiphysics_2d.py | Eravalord/OpenPNM | 505bc37318a3ba40d8343f89cd347d0073dd9d14 | [
"MIT"
] | 1 | 2021-07-20T13:56:57.000Z | 2021-07-20T13:56:57.000Z | scripts/example_Nernst_Planck_multiphysics_2d.py | jgostick/openpnm | 8298608a38f6aae4a96b0f3b9dd9b9e4460e8692 | [
"MIT"
] | null | null | null | scripts/example_Nernst_Planck_multiphysics_2d.py | jgostick/openpnm | 8298608a38f6aae4a96b0f3b9dd9b9e4460e8692 | [
"MIT"
] | null | null | null | import openpnm as op
from openpnm.phases import mixtures
import numpy as np
ws = op.Workspace()
proj = ws.new_project()
# ws.settings['loglevel'] = 20
"""
Details about the continum and numerical model equations can be found on:
Agnaou, M., Sadeghi, M. A., Tranter, T. G., & Gostick, J. (2020).
Modeling tr... | 37.322314 | 77 | 0.697963 |
0367353030a7a4e1e253147da6b2086bd60f72b8 | 6,950 | py | Python | trax/rl/space_serializer.py | modyharshit23/trax | 2e6783a4674209b57482ec41e1c533a420aa6fe6 | [
"Apache-2.0"
] | null | null | null | trax/rl/space_serializer.py | modyharshit23/trax | 2e6783a4674209b57482ec41e1c533a420aa6fe6 | [
"Apache-2.0"
] | null | null | null | trax/rl/space_serializer.py | modyharshit23/trax | 2e6783a4674209b57482ec41e1c533a420aa6fe6 | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# Copyright 2019 The Trax Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... | 32.02765 | 80 | 0.713525 |
03673bebb7bdf9c54157b66ac0a2568f111e7cd1 | 2,466 | py | Python | automatization_scripts/tools/environment.py | FIWARE/cloud.PaaS | 3ddec91c2b0ef3baca1dd2e596373cf0d4d341e3 | [
"Apache-2.0"
] | null | null | null | automatization_scripts/tools/environment.py | FIWARE/cloud.PaaS | 3ddec91c2b0ef3baca1dd2e596373cf0d4d341e3 | [
"Apache-2.0"
] | null | null | null | automatization_scripts/tools/environment.py | FIWARE/cloud.PaaS | 3ddec91c2b0ef3baca1dd2e596373cf0d4d341e3 | [
"Apache-2.0"
] | 2 | 2016-08-22T16:03:25.000Z | 2018-03-05T23:28:55.000Z | # -*- coding: utf-8 -*-
# Copyright 2014 Telefonica Investigación y Desarrollo, S.A.U
#
# This file is part of FI-WARE 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:
#
# h... | 31.21519 | 91 | 0.669505 |
036741bef60c708065824d4315fc2dbc5986045f | 11,245 | py | Python | modules/templates/GIMS/layouts.py | nursix/DRKCM | 09328289ff721c416494398aa751ff99906327cb | [
"MIT"
] | 3 | 2022-01-26T08:07:54.000Z | 2022-03-21T21:53:52.000Z | modules/templates/GIMS/layouts.py | nursix/eden-asp | e49f46cb6488918f8d5a163dcd5a900cd686978c | [
"MIT"
] | null | null | null | modules/templates/GIMS/layouts.py | nursix/eden-asp | e49f46cb6488918f8d5a163dcd5a900cd686978c | [
"MIT"
] | null | null | null | """
Menu Layouts for GIMS
License: MIT
"""
__all__ = ("S3MainMenuLayout",
"S3AboutMenuLayout",
"MA",
"S3LanguageMenuLayout",
"ML",
"S3OrgMenuLayout",
"OM",
"S3PersonalMenuLayout",
"MP",
)
from gluon import curre... | 35.812102 | 121 | 0.382036 |
036767f9deea527bd0dd54a1527f503e2f40266a | 2,776 | py | Python | taxamo/models/getDomesticSummaryReportOut.py | taxamo/taxamo-python | 190bdda68963860c131d2b1e9d31cd88de10d694 | [
"Apache-2.0"
] | 4 | 2016-03-14T03:59:08.000Z | 2020-06-21T07:58:38.000Z | taxamo/models/getDomesticSummaryReportOut.py | taxamo/taxamo-python | 190bdda68963860c131d2b1e9d31cd88de10d694 | [
"Apache-2.0"
] | 2 | 2016-03-07T13:41:23.000Z | 2017-07-11T13:39:44.000Z | taxamo/models/getDomesticSummaryReportOut.py | taxamo/taxamo-python | 190bdda68963860c131d2b1e9d31cd88de10d694 | [
"Apache-2.0"
] | 8 | 2016-01-13T14:32:19.000Z | 2021-08-16T11:14:06.000Z | #!/usr/bin/env python
"""
Copyright 2014-2021 by Taxamo
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 applic... | 40.823529 | 86 | 0.657781 |
03676bf7ffc49c0d7bb309a73d856e9e8da335b6 | 10,282 | py | Python | datum/utils/common_utils.py | openAGI/datum | 2dfc8c62ed1366fd8544b8b25d730d89dfb57d4e | [
"Apache-2.0"
] | 6 | 2020-05-17T10:03:24.000Z | 2021-07-05T18:38:06.000Z | datum/utils/common_utils.py | openAGI/datum | 2dfc8c62ed1366fd8544b8b25d730d89dfb57d4e | [
"Apache-2.0"
] | 2 | 2021-07-26T03:22:47.000Z | 2022-02-09T23:33:33.000Z | datum/utils/common_utils.py | openAGI/datum | 2dfc8c62ed1366fd8544b8b25d730d89dfb57d4e | [
"Apache-2.0"
] | 1 | 2021-06-14T14:49:38.000Z | 2021-06-14T14:49:38.000Z | # Copyright 2020 The OpenAGI Datum Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed ... | 29.631124 | 99 | 0.663781 |
036774be6856536c68d430a9f16e6b12f3a70887 | 1,009 | py | Python | onadata/libs/models/clone_xform.py | amks1/kobocat | 0f36c75cc55345716558e8bece2ef48567896997 | [
"BSD-2-Clause"
] | 87 | 2015-02-10T23:36:28.000Z | 2022-01-31T00:51:10.000Z | onadata/libs/models/clone_xform.py | amks1/kobocat | 0f36c75cc55345716558e8bece2ef48567896997 | [
"BSD-2-Clause"
] | 443 | 2015-04-28T18:50:25.000Z | 2022-03-31T03:29:43.000Z | onadata/libs/models/clone_xform.py | amks1/kobocat | 0f36c75cc55345716558e8bece2ef48567896997 | [
"BSD-2-Clause"
] | 122 | 2015-01-13T16:27:44.000Z | 2022-01-24T09:35:56.000Z | # coding: utf-8
from django.contrib.auth.models import User
from onadata.apps.viewer.models.data_dictionary import \
DataDictionary, upload_to
from django.core.files.storage import default_storage
from onadata.apps.logger.models.xform import XForm
class CloneXForm:
def __init__(self, xform, username):
... | 33.633333 | 64 | 0.624381 |
036776bcb99c41650753b3273da5e042537e0cd9 | 1,789 | py | Python | tools/dockerize/webportal/usr/lib/python2.7/site-packages/xstatic/pkg/d3/__init__.py | foruy/openflow-multiopenstack | 74140b041ac25ed83898ff3998e8dcbed35572bb | [
"Apache-2.0"
] | 1 | 2019-09-11T11:56:19.000Z | 2019-09-11T11:56:19.000Z | tools/dockerize/webportal/usr/lib/python2.7/site-packages/xstatic/pkg/d3/__init__.py | foruy/openflow-multiopenstack | 74140b041ac25ed83898ff3998e8dcbed35572bb | [
"Apache-2.0"
] | null | null | null | tools/dockerize/webportal/usr/lib/python2.7/site-packages/xstatic/pkg/d3/__init__.py | foruy/openflow-multiopenstack | 74140b041ac25ed83898ff3998e8dcbed35572bb | [
"Apache-2.0"
] | null | null | null | """
XStatic resource package
See package 'XStatic' for documentation and basic tools.
"""
DISPLAY_NAME = 'D3' # official name, upper/lowercase allowed, no spaces
PACKAGE_NAME = 'XStatic-%s' % DISPLAY_NAME # name used for PyPi
NAME = __name__.split('.')[-1] # package name (e.g. 'foo' or 'foo_bar')
... | 35.78 | 77 | 0.686976 |
036796b0dff55ce88a33f66bdb2acf38c71cfcb4 | 521 | py | Python | RGUtil/RGCodeUtil.py | RengeRenge/renge-website | 2e8ad6588616d64a9b484de60de145dc7c65576b | [
"MIT"
] | null | null | null | RGUtil/RGCodeUtil.py | RengeRenge/renge-website | 2e8ad6588616d64a9b484de60de145dc7c65576b | [
"MIT"
] | null | null | null | RGUtil/RGCodeUtil.py | RengeRenge/renge-website | 2e8ad6588616d64a9b484de60de145dc7c65576b | [
"MIT"
] | null | null | null | from enum import IntEnum
class RGVerifyType(IntEnum):
new = 0
bind = 1
forget_pwd = 2
class RGResCode(IntEnum):
ok = 1000
not_existed = 1001
has_existed = 1002
insert_fail = 1003
del_fail = 1004
lack_param = 1005
update_fail = 1006
database_error = 1007
timeout = 1008... | 18.607143 | 32 | 0.658349 |
0367a24300f2be6da3723b84e42e4741feb9d4d2 | 910 | py | Python | main.py | avnes/pyrhout | eb9da39c1315633984539250d08599a99eb585eb | [
"MIT"
] | null | null | null | main.py | avnes/pyrhout | eb9da39c1315633984539250d08599a99eb585eb | [
"MIT"
] | null | null | null | main.py | avnes/pyrhout | eb9da39c1315633984539250d08599a99eb585eb | [
"MIT"
] | null | null | null | """Show request headers"""
import json
import flask
from waitress import serve
app = flask.Flask(__name__)
def get_json(headers) -> str:
"""Construct a str formatted like JSON"""
body: dict = {}
for key, value in headers.items():
body[key] = value
return json.dumps(body, indent=2)
@app.ro... | 23.333333 | 70 | 0.645055 |
0367cf8a6a0467c55b19f060c2248f86743c26fa | 1,395 | py | Python | salt/runners/sysmod.py | gotcha/salt | 7b84c704777d3d2062911895dc3fdf93d40e9848 | [
"Apache-2.0"
] | 1 | 2015-10-06T22:25:22.000Z | 2015-10-06T22:25:22.000Z | salt/runners/sysmod.py | gotcha/salt | 7b84c704777d3d2062911895dc3fdf93d40e9848 | [
"Apache-2.0"
] | null | null | null | salt/runners/sysmod.py | gotcha/salt | 7b84c704777d3d2062911895dc3fdf93d40e9848 | [
"Apache-2.0"
] | null | null | null | '''
A Salt runner module to mirror and aggregate the Salt execution module of the
same name
'''
# Import Python libs
import itertools
# Import salt libs
import salt.client
import salt.output
def __virtual__():
'''
Rename to sys
'''
return 'sys'
def doc():
'''
Collect all the sys.doc output ... | 24.473684 | 77 | 0.626523 |
036830dd227bfa21125c7c10dab2950739848f8c | 10,128 | py | Python | tensorflow/tools/pip_package/setup.py | kyechou/tensorflow | 7a7ff1d40ff8a6bcac2d9c655b8cfb8500ee1d14 | [
"Apache-2.0"
] | 1 | 2019-01-29T13:05:38.000Z | 2019-01-29T13:05:38.000Z | tensorflow/tools/pip_package/setup.py | kyechou/tensorflow | 7a7ff1d40ff8a6bcac2d9c655b8cfb8500ee1d14 | [
"Apache-2.0"
] | 4 | 2020-09-26T00:55:50.000Z | 2022-02-10T01:53:06.000Z | tensorflow/tools/pip_package/setup.py | kyechou/tensorflow | 7a7ff1d40ff8a6bcac2d9c655b8cfb8500ee1d14 | [
"Apache-2.0"
] | 1 | 2019-12-20T01:12:47.000Z | 2019-12-20T01:12:47.000Z | # Copyright 2015 The TensorFlow Authors. 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 applica... | 34.684932 | 83 | 0.681082 |
03686c95ba3d172086e1e5c2f554bec02d8a90d9 | 1,193 | py | Python | tests/ut/python/pass/test_micro_tuning.py | tianjiashuo/akg | a9cbf642063fb1086a93e8bc6be6feb145689817 | [
"Apache-2.0"
] | 286 | 2020-06-23T06:40:44.000Z | 2022-03-30T01:27:49.000Z | tests/ut/python/pass/test_micro_tuning.py | tianjiashuo/akg | a9cbf642063fb1086a93e8bc6be6feb145689817 | [
"Apache-2.0"
] | 10 | 2020-07-31T03:26:59.000Z | 2021-12-27T15:00:54.000Z | tests/ut/python/pass/test_micro_tuning.py | tianjiashuo/akg | a9cbf642063fb1086a93e8bc6be6feb145689817 | [
"Apache-2.0"
] | 30 | 2020-07-17T01:04:14.000Z | 2021-12-27T14:05:19.000Z | # Copyright 2020 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 41.137931 | 142 | 0.755239 |
03687518de89490b226f98f6e4b68485d077d8d9 | 814 | py | Python | alipay/aop/api/domain/AlipayOpenLotteryRegionGetModel.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 213 | 2018-08-27T16:49:32.000Z | 2021-12-29T04:34:12.000Z | alipay/aop/api/domain/AlipayOpenLotteryRegionGetModel.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 29 | 2018-09-29T06:43:00.000Z | 2021-09-02T03:27:32.000Z | alipay/aop/api/domain/AlipayOpenLotteryRegionGetModel.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 59 | 2018-08-27T16:59:26.000Z | 2022-03-25T10:08:15.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
class AlipayOpenLotteryRegionGetModel(object):
def __init__(self):
self._env = None
@property
def env(self):
return self._env
@env.setter
def env(self, value):
... | 19.853659 | 57 | 0.555283 |
03687e3c970b598139f36dbbaeedccd242b5bb9b | 3,217 | py | Python | sdk/iothub/azure-mgmt-iothub/azure/mgmt/iothub/v2019_07_01_preview/aio/_configuration.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | 1 | 2022-03-09T08:59:13.000Z | 2022-03-09T08:59:13.000Z | sdk/iothub/azure-mgmt-iothub/azure/mgmt/iothub/v2019_07_01_preview/aio/_configuration.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | null | null | null | sdk/iothub/azure-mgmt-iothub/azure/mgmt/iothub/v2019_07_01_preview/aio/_configuration.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | 1 | 2022-03-04T06:21:56.000Z | 2022-03-04T06:21:56.000Z | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may ... | 47.308824 | 130 | 0.698788 |
03687f4369bbd047299cb58963a0630b01eec24a | 9,338 | py | Python | src/qfit/backbone.py | sakibh/qfit-3.0 | fcc9d56b21d2d16ffb2796da0d48003649a31909 | [
"MIT"
] | null | null | null | src/qfit/backbone.py | sakibh/qfit-3.0 | fcc9d56b21d2d16ffb2796da0d48003649a31909 | [
"MIT"
] | null | null | null | src/qfit/backbone.py | sakibh/qfit-3.0 | fcc9d56b21d2d16ffb2796da0d48003649a31909 | [
"MIT"
] | null | null | null | '''
Excited States software: qFit 3.0
Contributors: Saulo H. P. de Oliveira, Gydo van Zundert, and Henry van den Bedem.
Contact: vdbedem@stanford.edu
Copyright (C) 2009-2019 Stanford University
Permission is hereby granted, free of charge, to any person obtaining a copy of
this software and associated documentation f... | 34.585185 | 95 | 0.642536 |
03688a59b88580fe09f329b71dc8d6499c55f68f | 1,212 | py | Python | clients/kratos/python/test/test_admin_update_identity_body.py | kolotaev/sdk | 0dda1becd70be8d7b9d678321ebe780c1ba00485 | [
"Apache-2.0"
] | null | null | null | clients/kratos/python/test/test_admin_update_identity_body.py | kolotaev/sdk | 0dda1becd70be8d7b9d678321ebe780c1ba00485 | [
"Apache-2.0"
] | null | null | null | clients/kratos/python/test/test_admin_update_identity_body.py | kolotaev/sdk | 0dda1becd70be8d7b9d678321ebe780c1ba00485 | [
"Apache-2.0"
] | null | null | null | """
Ory Kratos API
Documentation for all public and administrative Ory Kratos APIs. Public and administrative APIs are exposed on different ports. Public APIs can face the public internet without any protection while administrative APIs should never be exposed without prior authorization. To protect the admini... | 32.756757 | 446 | 0.749175 |
03688bdd2856083a9c51d5dcb71146a14b89a344 | 270 | py | Python | portal/apps/shoutbox/admin.py | Artis-Physis/utopia-cms | 5cb8d941d0b2df53fddc566a52e9d3baee4a007e | [
"BSD-3-Clause"
] | 8 | 2020-12-15T17:11:08.000Z | 2021-12-13T22:08:33.000Z | portal/apps/shoutbox/admin.py | Artis-Physis/utopia-cms | 5cb8d941d0b2df53fddc566a52e9d3baee4a007e | [
"BSD-3-Clause"
] | 28 | 2020-12-15T17:34:03.000Z | 2022-02-01T04:09:10.000Z | portal/apps/shoutbox/admin.py | Artis-Physis/utopia-cms | 5cb8d941d0b2df53fddc566a52e9d3baee4a007e | [
"BSD-3-Clause"
] | 7 | 2020-12-15T19:59:17.000Z | 2021-11-24T16:47:06.000Z | # -*- coding: utf-8 -*-
from shoutbox.models import Shout
from django.contrib.admin import site, ModelAdmin
class ShoutModelAdmin(ModelAdmin):
list_display = ('message', 'user', 'post_date')
search_fields = ('message',)
site.register(Shout, ShoutModelAdmin)
| 22.5 | 51 | 0.722222 |
03688e0baf36a68bf9c65bfdef50ba3de123ebaa | 2,241 | py | Python | env/env_wrapper.py | WilsonWangTHU/neural_graph_evolution | 9142b7f1c32c476aa44c83da38d3f0bacc276d73 | [
"MIT"
] | 33 | 2019-06-06T13:59:51.000Z | 2022-03-07T10:36:42.000Z | env/env_wrapper.py | WilsonWangTHU/neural_graph_evolution | 9142b7f1c32c476aa44c83da38d3f0bacc276d73 | [
"MIT"
] | 8 | 2019-07-09T16:58:28.000Z | 2022-02-10T00:27:39.000Z | env/env_wrapper.py | WilsonWangTHU/neural_graph_evolution | 9142b7f1c32c476aa44c83da38d3f0bacc276d73 | [
"MIT"
] | 12 | 2019-06-07T10:43:12.000Z | 2022-03-09T13:47:01.000Z | # -----------------------------------------------------------------------------
# @author:
# Tingwu Wang
# @brief:
# The environment wrapper
# -----------------------------------------------------------------------------
import init_path
from util import dm_control_util
import os
# os.environ['DISABLE_M... | 28.730769 | 80 | 0.601963 |
036899ab5316c3c5d02447c18c1ac34ff84a90cd | 3,502 | py | Python | tests/common/test_op/ascend/apply_adagrad.py | tianjiashuo/akg | a9cbf642063fb1086a93e8bc6be6feb145689817 | [
"Apache-2.0"
] | 286 | 2020-06-23T06:40:44.000Z | 2022-03-30T01:27:49.000Z | tests/common/test_op/ascend/apply_adagrad.py | tianjiashuo/akg | a9cbf642063fb1086a93e8bc6be6feb145689817 | [
"Apache-2.0"
] | 10 | 2020-07-31T03:26:59.000Z | 2021-12-27T15:00:54.000Z | tests/common/test_op/ascend/apply_adagrad.py | tianjiashuo/akg | a9cbf642063fb1086a93e8bc6be6feb145689817 | [
"Apache-2.0"
] | 30 | 2020-07-17T01:04:14.000Z | 2021-12-27T14:05:19.000Z | # Copyright 2020-2021 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agre... | 39.348315 | 97 | 0.670474 |
0368b1638be129a8e74ab063adf5eea280f8c235 | 1,512 | py | Python | segment.py | osmith93/str8ts | 41e7942bdd1c3c58c81f3a9b5109a8486eb48dae | [
"MIT"
] | null | null | null | segment.py | osmith93/str8ts | 41e7942bdd1c3c58c81f3a9b5109a8486eb48dae | [
"MIT"
] | null | null | null | segment.py | osmith93/str8ts | 41e7942bdd1c3c58c81f3a9b5109a8486eb48dae | [
"MIT"
] | null | null | null | from board import Cell
from typing import Set
class Segment:
horizontal = "horizontal"
vertical = "vertical"
def __init__(self, cells: Set[Cell], direction: str, maximum=9):
self.lower_bound = 1
self.upper_bound = maximum
self.cells = cells
self.direction = direction
... | 26.068966 | 75 | 0.60119 |
0368b97c30eeea0f36f6cd869c2c3eadf7c44cd5 | 1,037 | py | Python | camper/twit/threads.py | drinks/camper | 82d9f1342886d91bf6787c1bcdb1a7cb62e53ca3 | [
"BSD-3-Clause"
] | null | null | null | camper/twit/threads.py | drinks/camper | 82d9f1342886d91bf6787c1bcdb1a7cb62e53ca3 | [
"BSD-3-Clause"
] | null | null | null | camper/twit/threads.py | drinks/camper | 82d9f1342886d91bf6787c1bcdb1a7cb62e53ca3 | [
"BSD-3-Clause"
] | null | null | null | import datetime
import threading
from time import sleep
import twitter
from django.conf import settings
class SendTweetThread(threading.Thread):
def __init__(self, initial_tweet, **kwargs):
self.class_instance = initial_tweet.__class__
self.initial_tweet = self.current_tweet = initial_tweet
... | 33.451613 | 82 | 0.637416 |
0368be81ee6a2a3d6d3109dbe954d47ced9cc459 | 622 | py | Python | python/eggroll/roll_paillier_tensor/__init__.py | ZYKJShadow/eggroll | 02b845c46cfb7a67459c6d842fa9ef3a02ae60ba | [
"Apache-2.0"
] | 1 | 2020-03-26T07:21:49.000Z | 2020-03-26T07:21:49.000Z | federatedml/encrypted_tensor/__init__.py | renzhenghang/FATE | c2adc4d40f6d54508bc49c94380aca63eea9db97 | [
"Apache-2.0"
] | null | null | null | federatedml/encrypted_tensor/__init__.py | renzhenghang/FATE | c2adc4d40f6d54508bc49c94380aca63eea9db97 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2019 - now, Eggroll Authors. 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 ... | 44.428571 | 75 | 0.745981 |
0368eaeb76cf85bc6ffe1d613bb340c7a750c145 | 2,807 | py | Python | Assignment1/model.py | TimO96/NLP2 | 83f65a385457f68397c641f38b53df0110282578 | [
"MIT"
] | null | null | null | Assignment1/model.py | TimO96/NLP2 | 83f65a385457f68397c641f38b53df0110282578 | [
"MIT"
] | null | null | null | Assignment1/model.py | TimO96/NLP2 | 83f65a385457f68397c641f38b53df0110282578 | [
"MIT"
] | null | null | null | # Copyright (c) 2018-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
import torch.nn as nn
import torch.utils.data.dataloader
class RNNModel(nn.Module):
"""Container module with an encoder, ... | 38.986111 | 110 | 0.615248 |
03692e59b1571f63b79cc923ce60e21e3eaebf0e | 2,537 | py | Python | Assignment_3/Assignment3/src/Task3.py | thealphadollar/ML-Assignments | 547c115d0d62c770aa673bf98fd56ff184bcfbd6 | [
"MIT"
] | null | null | null | Assignment_3/Assignment3/src/Task3.py | thealphadollar/ML-Assignments | 547c115d0d62c770aa673bf98fd56ff184bcfbd6 | [
"MIT"
] | 1 | 2021-02-02T23:14:05.000Z | 2021-02-02T23:14:05.000Z | Assignment_3/Assignment3/src/Task3.py | thealphadollar/CS60050-ML-Assignments | 547c115d0d62c770aa673bf98fd56ff184bcfbd6 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Mar 26 01:37:42 2020
@author: praveshj
"""
import numpy as np
import math
import random
print("Data Loading. May Take Time....")
X = np.genfromtxt('../data/tfidf.csv',delimiter = ' ')
# print(X.shape)
#Cosine Similarity and Distance will ... | 26.427083 | 97 | 0.59598 |
036984d5754d1c18284e46921abd9eb9ea036f8c | 7,869 | py | Python | devel/lib/python2.7/dist-packages/kinova_msgs/msg/_ArmPoseGoal.py | FProgrammerLIU/caster_man_ros | a75b503fad3a470f985072a2b3953e89074f3223 | [
"MIT"
] | null | null | null | devel/lib/python2.7/dist-packages/kinova_msgs/msg/_ArmPoseGoal.py | FProgrammerLIU/caster_man_ros | a75b503fad3a470f985072a2b3953e89074f3223 | [
"MIT"
] | null | null | null | devel/lib/python2.7/dist-packages/kinova_msgs/msg/_ArmPoseGoal.py | FProgrammerLIU/caster_man_ros | a75b503fad3a470f985072a2b3953e89074f3223 | [
"MIT"
] | null | null | null | # This Python file uses the following encoding: utf-8
"""autogenerated by genpy from kinova_msgs/ArmPoseGoal.msg. Do not edit."""
import sys
python3 = True if sys.hexversion > 0x03000000 else False
import genpy
import struct
import geometry_msgs.msg
import std_msgs.msg
class ArmPoseGoal(genpy.Message):
_md5sum = "3... | 37.293839 | 236 | 0.645444 |
03698f9723e7b430d1b4523af6d6f612cc980827 | 2,184 | py | Python | backend/config_app/config_ping_carto/config_app_socials.py | co-demos/apiviz-backend | 8a86b92dce728e81c1c935427b890da590edd720 | [
"MIT"
] | 1 | 2019-12-17T22:31:00.000Z | 2019-12-17T22:31:00.000Z | backend/config_app/config_ping_carto/config_app_socials.py | co-demos/apiviz-backend | 8a86b92dce728e81c1c935427b890da590edd720 | [
"MIT"
] | 10 | 2019-05-28T19:57:28.000Z | 2021-06-01T23:46:00.000Z | backend/config_app/config_ping_carto/config_app_socials.py | co-demos/apiviz-backend | 8a86b92dce728e81c1c935427b890da590edd720 | [
"MIT"
] | null | null | null | # -*- encoding: utf-8 -*-
from . import version, uuid_models
default_socials_config = [
### - - - - - - - - - - - - - - - ###
### CONFIG PING
### SOCIAL NETWORKS
{ "field" : "app_twitter",
"content" : u"twitter",
"icon_class" : "fab fa-twitter",
"url" : "https://tw... | 43.68 | 236 | 0.53022 |
03698f975ff64bab6db6583dab9509298ba035cd | 2,482 | py | Python | bot/exts/utils/announcements.py | thecoderkitty/fluffington-bot | f518e7b66487aaf9e6c507ced43e15760d604be2 | [
"MIT"
] | null | null | null | bot/exts/utils/announcements.py | thecoderkitty/fluffington-bot | f518e7b66487aaf9e6c507ced43e15760d604be2 | [
"MIT"
] | null | null | null | bot/exts/utils/announcements.py | thecoderkitty/fluffington-bot | f518e7b66487aaf9e6c507ced43e15760d604be2 | [
"MIT"
] | null | null | null | import discord
from discord.ext import commands
from bot.bot import Bot
import bot.constants as constants
class Announcements(commands.Cog):
"""
commands to subscribe and unsubscribe from the announcement notifications
"""
name = constants.Bot.name
def __init__(self, bot: commands.Bot):
... | 29.903614 | 106 | 0.609992 |
03699b279447f1352d2247cc84d122fc284f9801 | 3,995 | py | Python | pywick/models/segmentation/testnets/psp_saeed.py | ashishpatel26/pywick | 1afffd1c21c2b188836d3599e802146182757bb5 | [
"MIT"
] | 2 | 2020-11-28T07:56:09.000Z | 2021-11-08T09:30:39.000Z | pywick/models/segmentation/testnets/psp_saeed.py | ashishpatel26/pywick | 1afffd1c21c2b188836d3599e802146182757bb5 | [
"MIT"
] | null | null | null | pywick/models/segmentation/testnets/psp_saeed.py | ashishpatel26/pywick | 1afffd1c21c2b188836d3599e802146182757bb5 | [
"MIT"
] | null | null | null | # Source: https://github.com/saeedizadi/binseg_pytoch/blob/master/models/pspnet.py
import torch
import torch.nn.init as init
import torch.nn as nn
from torchvision import models
import torch.nn.functional as F
import numpy as np
import math
def initialize_weights(method='kaiming', *models):
for model in models:
... | 33.571429 | 120 | 0.557196 |
0369b415091f22b509251cd382e8c512792b65e5 | 2,628 | py | Python | examples/generator/mock_language/MockLanguageLexer.py | LaurentAjdnik/pyqir | 68fe277e0b905d3ba41256f2473eb51beac0863f | [
"MIT"
] | 22 | 2021-11-30T21:52:30.000Z | 2022-03-17T02:05:17.000Z | examples/generator/mock_language/MockLanguageLexer.py | LaurentAjdnik/pyqir | 68fe277e0b905d3ba41256f2473eb51beac0863f | [
"MIT"
] | 51 | 2021-11-24T03:42:49.000Z | 2022-03-25T20:51:24.000Z | examples/generator/mock_language/MockLanguageLexer.py | LaurentAjdnik/pyqir | 68fe277e0b905d3ba41256f2473eb51beac0863f | [
"MIT"
] | 6 | 2021-11-30T22:36:49.000Z | 2022-03-17T17:21:16.000Z | # Generated from MockLanguage.g4 by ANTLR 4.10.1
from antlr4 import *
from io import StringIO
import sys
if sys.version_info[1] > 5:
from typing import TextIO
else:
from typing.io import TextIO
def serializedATN():
return [
4,0,8,56,6,-1,2,0,7,0,2,1,7,1,2,2,7,2,2,3,7,3,2,4,7,4,2,5,7,5,2,
6... | 36.5 | 103 | 0.549087 |
0369c7b8334914584da925c41981bd3d77c9e3f9 | 142 | py | Python | lewis_emulators/mecfrf/__init__.py | ISISComputingGroup/EPICS-DeviceEmulator | 026c2a14a16bb204ea7527e3765daa182cafa814 | [
"BSD-3-Clause"
] | 2 | 2020-10-20T16:49:13.000Z | 2021-02-19T10:41:44.000Z | lewis_emulators/mecfrf/__init__.py | ISISComputingGroup/EPICS-DeviceEmulator | 026c2a14a16bb204ea7527e3765daa182cafa814 | [
"BSD-3-Clause"
] | 9 | 2019-03-22T15:35:15.000Z | 2021-07-28T11:05:43.000Z | lewis_emulators/mecfrf/__init__.py | ISISComputingGroup/EPICS-DeviceEmulator | 026c2a14a16bb204ea7527e3765daa182cafa814 | [
"BSD-3-Clause"
] | 1 | 2020-10-21T17:02:44.000Z | 2020-10-21T17:02:44.000Z | from .device import SimulatedMecfrf
from ..lewis_versions import LEWIS_LATEST
framework_version = LEWIS_LATEST
__all__ = ['SimulatedMecfrf']
| 23.666667 | 41 | 0.830986 |
0369c9427d0bba09ff471ce8dfe504a8d1295765 | 3,692 | py | Python | screens/pause.py | ShayLn/py-fighter | 01ace29afb066e6d5965d1fd460c5939c8b8c81b | [
"MIT"
] | null | null | null | screens/pause.py | ShayLn/py-fighter | 01ace29afb066e6d5965d1fd460c5939c8b8c81b | [
"MIT"
] | null | null | null | screens/pause.py | ShayLn/py-fighter | 01ace29afb066e6d5965d1fd460c5939c8b8c81b | [
"MIT"
] | 2 | 2020-12-15T11:53:41.000Z | 2021-01-07T01:09:33.000Z | ''' Pause Screen
Pause screen - This screen is displayed on top of the game when player
presses escape during the game, and enters the pause menu.
Each button is attached to a function, resume and quitToMainMenu output
a string which is interpreted by the screens loop, wheres quitgame just
kills the game.
The reaso... | 33.261261 | 76 | 0.529252 |
0369d1134be28112b02e3e0a8742f15e43077af9 | 752 | py | Python | examples/histogram.py | brucespang/plorts | 78194a64128a0bba9cdf49279bcc09807df62fcf | [
"MIT"
] | 1 | 2016-08-02T21:57:46.000Z | 2016-08-02T21:57:46.000Z | examples/histogram.py | brucespang/plorts | 78194a64128a0bba9cdf49279bcc09807df62fcf | [
"MIT"
] | null | null | null | examples/histogram.py | brucespang/plorts | 78194a64128a0bba9cdf49279bcc09807df62fcf | [
"MIT"
] | null | null | null | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import plorts
import seaborn as sns
plt.style.use(['plorts', 'plorts-web'])
xmax = 2*np.pi
f = lambda x,offset: (offset+1)*np.sin(x-offset)
xs = np.arange(0,xmax,0.1)
offsets = range(0,len(plorts.palettes.solarized))
offsets = [4,5,6,7]
df = pd.Dat... | 30.08 | 147 | 0.663564 |
0369fd292333f32fe23d7a5a704aa9919ac4bc79 | 1,084 | py | Python | miniworld/model/network/backends/bridged/brctl/NetworkBackendBridged.py | miniworld-project/miniworld_core | c591bad232b78eae99e8f55cb1b907c1e228484b | [
"MIT"
] | 5 | 2019-05-11T14:57:15.000Z | 2021-07-05T00:35:25.000Z | miniworld/model/network/backends/bridged/brctl/NetworkBackendBridged.py | miniworld-project/miniworld_core | c591bad232b78eae99e8f55cb1b907c1e228484b | [
"MIT"
] | 27 | 2017-03-17T07:11:02.000Z | 2019-05-26T23:36:56.000Z | miniworld/model/network/backends/bridged/brctl/NetworkBackendBridged.py | miniworld-project/miniworld_core | c591bad232b78eae99e8f55cb1b907c1e228484b | [
"MIT"
] | 6 | 2017-05-03T12:11:33.000Z | 2020-04-03T11:44:27.000Z |
from miniworld.Scenario import scenario_config
from miniworld.model.network.backends.bridged.iproute2.NetworkBackendBridged import NetworkBackendBridgedIproute2
def NetworkBackendBridgedBrctl():
class NetworkBackendBridgedBrctl(NetworkBackendBridgedIproute2()):
"""
1. Use brctl to setup and confi... | 38.714286 | 113 | 0.710332 |
036a0d9a17d722f913e01f8eea60165b7b496813 | 2,751 | py | Python | heroku_config.py | justteen/BUZZ-USERBOT | 55651cce150e1d04d2c61efb2565ef9f46b42933 | [
"BSL-1.0"
] | null | null | null | heroku_config.py | justteen/BUZZ-USERBOT | 55651cce150e1d04d2c61efb2565ef9f46b42933 | [
"BSL-1.0"
] | null | null | null | heroku_config.py | justteen/BUZZ-USERBOT | 55651cce150e1d04d2c61efb2565ef9f46b42933 | [
"BSL-1.0"
] | null | null | null | import os
class Var(object):
APP_ID = int(os.environ.get("APP_ID", 6))
# 6 is a placeholder
API_HASH = os.environ.get("API_HASH", "eb06d4abfb49dc3eeb1aeb98ae0f581e")
STRING_SESSION = os.environ.get("STRING_SESSION", None)
DB_URI = os.environ.get("DATABASE_URL", None)
TEMP_DOWNLOAD_DIRECTORY = ... | 49.125 | 120 | 0.706652 |
036ab9cb5383fdf02c6680d988d0627074b63e76 | 115 | py | Python | tbonlineproject/userprofiles/admin.py | nathangeffen/tbonline3 | 1b8a3af8d2dc1ee8083ca6638d025e94bd98f253 | [
"MIT"
] | null | null | null | tbonlineproject/userprofiles/admin.py | nathangeffen/tbonline3 | 1b8a3af8d2dc1ee8083ca6638d025e94bd98f253 | [
"MIT"
] | 3 | 2021-06-08T23:57:13.000Z | 2022-01-13T03:42:01.000Z | tbonlineproject/userprofiles/admin.py | nathangeffen/tbonline-2 | 0d5869197e66a0057fa07cb99f21dde7f5b47c30 | [
"MIT"
] | null | null | null | from django.contrib import admin
from userprofiles.models import UserProfile
admin.site.register(UserProfile)
| 23 | 44 | 0.826087 |
036abf83a9b0eb2d9764d42b8593640a67f4015a | 24,696 | py | Python | ocdeployer/deploy.py | bsquizz/ocdeployer | a99dddd481ee6e32de479d308676b2ffa3895200 | [
"MIT"
] | 13 | 2018-10-16T12:47:26.000Z | 2021-01-27T19:31:28.000Z | ocdeployer/deploy.py | bsquizz/ocdeployer | a99dddd481ee6e32de479d308676b2ffa3895200 | [
"MIT"
] | 14 | 2018-11-09T09:40:05.000Z | 2021-04-22T19:56:21.000Z | ocdeployer/deploy.py | bsquizz/ocdeployer | a99dddd481ee6e32de479d308676b2ffa3895200 | [
"MIT"
] | 16 | 2018-11-08T18:08:49.000Z | 2022-03-27T03:46:17.000Z | """
Handles deploy logic for components
"""
import copy
import importlib
import json
import logging
import os
import sys
import threading
import yaml
import concurrent.futures
from .config import merge_cfgs
from .images import get_is_configs, import_images
from .utils import apply_template, load_cfg_file, trigger_buil... | 37.361573 | 100 | 0.637269 |
036ac24be2773e2e33d9b41b822bcd44f1a1c219 | 2,886 | py | Python | scapy/scapy/tools/check_asdis.py | jreynders/BLESuite-1 | 1c3c15fc2d4e30c3f9c1a15e0268cae84685784b | [
"MIT"
] | null | null | null | scapy/scapy/tools/check_asdis.py | jreynders/BLESuite-1 | 1c3c15fc2d4e30c3f9c1a15e0268cae84685784b | [
"MIT"
] | null | null | null | scapy/scapy/tools/check_asdis.py | jreynders/BLESuite-1 | 1c3c15fc2d4e30c3f9c1a15e0268cae84685784b | [
"MIT"
] | null | null | null | #! /usr/bin/env python
from __future__ import print_function
import getopt
def usage():
print("""Usage: check_asdis -i <pcap_file> [-o <wrong_packets.pcap>]
-v increase verbosity
-d hexdiff packets that differ
-z compress output pcap
-a open pcap file in append mode""", file=sys.stderr)
... | 28.294118 | 117 | 0.501386 |
036ac55b5e1a8b50c82fc86e866d260b6147e7e7 | 7,713 | py | Python | cgen/hsm/ast.py | jszeman/chsm | 0283d722553aea09477e039a718b9500d814f0ae | [
"MIT"
] | 4 | 2021-04-16T18:28:00.000Z | 2022-03-01T07:29:21.000Z | cgen/hsm/ast.py | xsession/chsm | 1c502897c8fce56bb48ad49de6d642f2bb66ff95 | [
"MIT"
] | 6 | 2020-10-25T19:56:59.000Z | 2022-03-24T05:00:10.000Z | cgen/hsm/ast.py | xsession/chsm | 1c502897c8fce56bb48ad49de6d642f2bb66ff95 | [
"MIT"
] | 1 | 2021-05-27T07:01:28.000Z | 2021-05-27T07:01:28.000Z | class Ast:
def __init__(self):
self.nodes = []
def __repr__(self):
return ''.join([str(n) for n in self.nodes])
class Node:
def __init__(self, node_type, **kwargs):
self.node_type = node_type
self.indent = 0
class Comment(Node):
def __init__(self, text, **kwargs):
... | 27.063158 | 110 | 0.54661 |
036aca2ccbf7289b06acba4f97012f170b1633a2 | 13,222 | py | Python | tensorflow_asr/losses/rnnt_loss.py | huylenguyen806/vnasrg | caee2e79d0eb9d1a997f5df8e2ba3ee7f0a1bcae | [
"Apache-2.0"
] | 608 | 2020-10-15T16:11:23.000Z | 2022-03-28T21:23:55.000Z | tensorflow_asr/losses/rnnt_loss.py | huylenguyen806/vnasrg | caee2e79d0eb9d1a997f5df8e2ba3ee7f0a1bcae | [
"Apache-2.0"
] | 174 | 2020-10-15T16:14:27.000Z | 2022-03-28T11:48:56.000Z | tensorflow_asr/losses/rnnt_loss.py | huylenguyen806/vnasrg | caee2e79d0eb9d1a997f5df8e2ba3ee7f0a1bcae | [
"Apache-2.0"
] | 191 | 2020-10-16T01:24:15.000Z | 2022-03-28T10:30:55.000Z | # Copyright 2020 Huy Le Nguyen (@usimarit) and M. Yusuf Sarıgöz (@monatis)
#
# 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 requir... | 32.406863 | 120 | 0.629557 |
036afcd20480d436d2ee9b23455c4009e481821a | 87 | py | Python | starkcore/utils/host.py | starkinfra/core-python | f57a1dd70cb98f96c84d1d318fc21dcd26ecbb34 | [
"MIT"
] | null | null | null | starkcore/utils/host.py | starkinfra/core-python | f57a1dd70cb98f96c84d1d318fc21dcd26ecbb34 | [
"MIT"
] | null | null | null | starkcore/utils/host.py | starkinfra/core-python | f57a1dd70cb98f96c84d1d318fc21dcd26ecbb34 | [
"MIT"
] | 1 | 2022-03-15T17:42:52.000Z | 2022-03-15T17:42:52.000Z | from .enum import Enum
class StarkHost(Enum):
infra = "infra"
bank = "bank"
| 10.875 | 22 | 0.62069 |
036b2161145519d77899de8eb82ad5a4783fba2d | 24,409 | py | Python | fabric_cf/orchestrator/swagger_client/api/slivers_api.py | fabric-testbed/OrchestratorClient | ea8904d8c9d3e63f471b2a51ae5b5b4e5e0ca763 | [
"MIT"
] | null | null | null | fabric_cf/orchestrator/swagger_client/api/slivers_api.py | fabric-testbed/OrchestratorClient | ea8904d8c9d3e63f471b2a51ae5b5b4e5e0ca763 | [
"MIT"
] | 9 | 2021-06-08T21:45:01.000Z | 2021-12-03T15:39:48.000Z | fabric_cf/orchestrator/swagger_client/api/slivers_api.py | fabric-testbed/OrchestratorClient | ea8904d8c9d3e63f471b2a51ae5b5b4e5e0ca763 | [
"MIT"
] | null | null | null | # coding: utf-8
"""
Fabric Orchestrator API
This is Fabric Orchestrator API # noqa: E501
OpenAPI spec version: 1.0.0
Contact: kthare10@unc.edu
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import re # noqa: F401
# python 2 and pyt... | 43.822262 | 589 | 0.63198 |
036b624f7994e4356cd224eddade88deb0d7192e | 389 | py | Python | office365/sharepoint/files/file_version_collection.py | wreiner/Office365-REST-Python-Client | 476bbce4f5928a140b4f5d33475d0ac9b0783530 | [
"MIT"
] | null | null | null | office365/sharepoint/files/file_version_collection.py | wreiner/Office365-REST-Python-Client | 476bbce4f5928a140b4f5d33475d0ac9b0783530 | [
"MIT"
] | null | null | null | office365/sharepoint/files/file_version_collection.py | wreiner/Office365-REST-Python-Client | 476bbce4f5928a140b4f5d33475d0ac9b0783530 | [
"MIT"
] | null | null | null | from office365.runtime.client_object_collection import ClientObjectCollection
from office365.sharepoint.files.file_version import FileVersion
class FileVersionCollection(ClientObjectCollection):
"""Represents a collection of FileVersion."""
def __init__(self, context, resource_path=None):
super(FileVe... | 43.222222 | 88 | 0.820051 |
036b838e9d29d4acca971f584f2cd9658f448676 | 7,786 | py | Python | alipay/aop/api/domain/House.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 213 | 2018-08-27T16:49:32.000Z | 2021-12-29T04:34:12.000Z | alipay/aop/api/domain/House.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 29 | 2018-09-29T06:43:00.000Z | 2021-09-02T03:27:32.000Z | alipay/aop/api/domain/House.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 59 | 2018-08-27T16:59:26.000Z | 2022-03-25T10:08:15.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
from alipay.aop.api.domain.HouseOwner import HouseOwner
class House(object):
def __init__(self):
self._area_code = None
self._built_year = None
self._house_owners = None
... | 34.451327 | 89 | 0.598639 |
036b8bd2f980ffa9a985d4da5d8a361bb0df1c93 | 20,497 | py | Python | vplexapi-7.0.0/vplexapi/api/storage_array_api.py | dell/python-vplex | 02c5df5e7f9ed61a13a2838f21ca6467a25dd392 | [
"Apache-2.0"
] | 3 | 2020-12-01T11:22:13.000Z | 2021-02-16T17:38:42.000Z | vplexapi-7.0.0/vplexapi/api/storage_array_api.py | dell/python-vplex | 02c5df5e7f9ed61a13a2838f21ca6467a25dd392 | [
"Apache-2.0"
] | null | null | null | vplexapi-7.0.0/vplexapi/api/storage_array_api.py | dell/python-vplex | 02c5df5e7f9ed61a13a2838f21ca6467a25dd392 | [
"Apache-2.0"
] | 3 | 2021-01-01T21:07:55.000Z | 2021-02-20T07:07:40.000Z | # coding: utf-8
"""
VPlex REST API
A definition for the next-gen VPlex API # noqa: E501
OpenAPI spec version: 0.1
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import re # noqa: F401
# python 2 and python 3 compatibility library... | 45.247241 | 162 | 0.633751 |
036ba9cb9f1450609a6781e8db99f8c2fad9e68a | 2,041 | py | Python | alipay/aop/api/domain/AlipayBossFncAntbudgetCancelModel.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 213 | 2018-08-27T16:49:32.000Z | 2021-12-29T04:34:12.000Z | alipay/aop/api/domain/AlipayBossFncAntbudgetCancelModel.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 29 | 2018-09-29T06:43:00.000Z | 2021-09-02T03:27:32.000Z | alipay/aop/api/domain/AlipayBossFncAntbudgetCancelModel.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 59 | 2018-08-27T16:59:26.000Z | 2022-03-25T10:08:15.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
class AlipayBossFncAntbudgetCancelModel(object):
def __init__(self):
self._biz_budget_apply_code = None
self._biz_type = None
self._biz_uk_id = None
@property
def biz_b... | 28.746479 | 93 | 0.618814 |
036bb8214276d00df5fe3da5ff3e84595cdc0b69 | 6,948 | py | Python | pybie2d/kernels/high_level/stokes.py | dbstein/pybie2d | 1c2d6c05f6dbb4f1ab4476d3824f4dde20f90d58 | [
"Apache-2.0"
] | 11 | 2018-10-26T17:34:29.000Z | 2020-04-27T21:21:33.000Z | pybie2d/kernels/high_level/stokes.py | dbstein/pybie2d | 1c2d6c05f6dbb4f1ab4476d3824f4dde20f90d58 | [
"Apache-2.0"
] | null | null | null | pybie2d/kernels/high_level/stokes.py | dbstein/pybie2d | 1c2d6c05f6dbb4f1ab4476d3824f4dde20f90d58 | [
"Apache-2.0"
] | null | null | null | """
This submodule provides higher-level wrappers for the Stokes Kernel Functions
"""
import numpy as np
import numexpr as ne
import numba
import warnings
from ...backend_defaults import get_backend
from ... import have_fmm
if have_fmm:
from ... import FMM
from ..low_level.stokes import Stokes_Kernel_Apply, Stok... | 37.354839 | 80 | 0.588659 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.